NPI_Cluster_Results_locom.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "import pandas as pd\n",
    "import re\n",
    "from plotfx import *\n",
    "import pickle\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "sims = ['beta006_multiNPI_0vax_locom', 'beta006_multiNPI_20vax_locom', 'beta006_multiNPI_40vax_locom']\n",
    "partitions = np.arange(5)\n",
    "sim_names = [sim + '_' + str(part) + '.csv' for sim in sims for part in partitions]\n",
    "outfile = 'multiNPI_vax_locom'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['beta006_multiNPI_0vax_locom_0.csv',\n",
       " 'beta006_multiNPI_0vax_locom_1.csv',\n",
       " 'beta006_multiNPI_0vax_locom_2.csv',\n",
       " 'beta006_multiNPI_0vax_locom_3.csv',\n",
       " 'beta006_multiNPI_0vax_locom_4.csv',\n",
       " 'beta006_multiNPI_20vax_locom_0.csv',\n",
       " 'beta006_multiNPI_20vax_locom_1.csv',\n",
       " 'beta006_multiNPI_20vax_locom_2.csv',\n",
       " 'beta006_multiNPI_20vax_locom_3.csv',\n",
       " 'beta006_multiNPI_20vax_locom_4.csv',\n",
       " 'beta006_multiNPI_40vax_locom_0.csv',\n",
       " 'beta006_multiNPI_40vax_locom_1.csv',\n",
       " 'beta006_multiNPI_40vax_locom_2.csv',\n",
       " 'beta006_multiNPI_40vax_locom_3.csv',\n",
       " 'beta006_multiNPI_40vax_locom_4.csv']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame()\n",
    "for file in sim_names:\n",
    "    tmpdf = pd.read_csv(file, header = 0, dtype = {'rep': int, 'p_vax': float, 'test_freq': int})\n",
    "    part = int(file[-5])\n",
    "    tmpdf['partition'] = np.repeat(part, repeats = tmpdf.shape[0])\n",
    "    df = df.append(tmpdf, ignore_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Linspace adds trailing decimal places in some cases\n",
    "df['p_vax'] = df['p_vax'].round(decimals = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(181500, 8)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rep</th>\n",
       "      <th>test_freq</th>\n",
       "      <th>p_sd</th>\n",
       "      <th>p_fm</th>\n",
       "      <th>p_vax</th>\n",
       "      <th>cum_uniq_inf</th>\n",
       "      <th>ext_inf_ct</th>\n",
       "      <th>partition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>397</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>408</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>282</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>377</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>350</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   rep  test_freq  p_sd  p_fm  p_vax  cum_uniq_inf  ext_inf_ct  partition\n",
       "0    1          0   0.0   0.0    0.0           397          35          0\n",
       "1    2          0   0.0   0.0    0.0           408          31          0\n",
       "2    3          0   0.0   0.0    0.0           282          24          0\n",
       "3    4          0   0.0   0.0    0.0           377          47          0\n",
       "4    5          0   0.0   0.0    0.0           350          29          0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rep</th>\n",
       "      <th>test_freq</th>\n",
       "      <th>p_sd</th>\n",
       "      <th>p_fm</th>\n",
       "      <th>p_vax</th>\n",
       "      <th>cum_uniq_inf</th>\n",
       "      <th>ext_inf_ct</th>\n",
       "      <th>partition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>181495</th>\n",
       "      <td>96</td>\n",
       "      <td>28</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>26</td>\n",
       "      <td>25</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181496</th>\n",
       "      <td>97</td>\n",
       "      <td>28</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>29</td>\n",
       "      <td>27</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181497</th>\n",
       "      <td>98</td>\n",
       "      <td>28</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>38</td>\n",
       "      <td>35</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181498</th>\n",
       "      <td>99</td>\n",
       "      <td>28</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181499</th>\n",
       "      <td>100</td>\n",
       "      <td>28</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>32</td>\n",
       "      <td>31</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        rep  test_freq  p_sd  p_fm  p_vax  cum_uniq_inf  ext_inf_ct  partition\n",
       "181495   96         28   1.0   1.0    0.4            26          25          4\n",
       "181496   97         28   1.0   1.0    0.4            29          27          4\n",
       "181497   98         28   1.0   1.0    0.4            38          35          4\n",
       "181498   99         28   1.0   1.0    0.4            28          27          4\n",
       "181499  100         28   1.0   1.0    0.4            32          31          4"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Renumber reps to remove duplicates\n",
    "df['rep'] = df['rep'] + df['partition']*20\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot Heatmaps by Immunization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>test_freq</th>\n",
       "      <th>p_vax</th>\n",
       "      <th>p_sd</th>\n",
       "      <th>p_fm</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">0.0</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">0.0</th>\n",
       "      <th>0.0</th>\n",
       "      <td>100.0</td>\n",
       "      <td>364.30</td>\n",
       "      <td>49.978884</td>\n",
       "      <td>160.0</td>\n",
       "      <td>350.00</td>\n",
       "      <td>374.0</td>\n",
       "      <td>399.50</td>\n",
       "      <td>443.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.1</th>\n",
       "      <td>100.0</td>\n",
       "      <td>288.58</td>\n",
       "      <td>59.213734</td>\n",
       "      <td>52.0</td>\n",
       "      <td>259.75</td>\n",
       "      <td>299.5</td>\n",
       "      <td>325.50</td>\n",
       "      <td>385.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.2</th>\n",
       "      <td>100.0</td>\n",
       "      <td>226.27</td>\n",
       "      <td>56.647030</td>\n",
       "      <td>60.0</td>\n",
       "      <td>200.25</td>\n",
       "      <td>236.5</td>\n",
       "      <td>268.00</td>\n",
       "      <td>326.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.3</th>\n",
       "      <td>100.0</td>\n",
       "      <td>173.03</td>\n",
       "      <td>54.725847</td>\n",
       "      <td>22.0</td>\n",
       "      <td>142.75</td>\n",
       "      <td>175.5</td>\n",
       "      <td>211.25</td>\n",
       "      <td>320.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.4</th>\n",
       "      <td>100.0</td>\n",
       "      <td>119.21</td>\n",
       "      <td>39.133363</td>\n",
       "      <td>31.0</td>\n",
       "      <td>90.75</td>\n",
       "      <td>122.5</td>\n",
       "      <td>147.00</td>\n",
       "      <td>212.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">28</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">0.4</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">1.0</th>\n",
       "      <th>0.6</th>\n",
       "      <td>100.0</td>\n",
       "      <td>27.12</td>\n",
       "      <td>6.453063</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.75</td>\n",
       "      <td>27.0</td>\n",
       "      <td>32.00</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.7</th>\n",
       "      <td>100.0</td>\n",
       "      <td>26.26</td>\n",
       "      <td>6.611316</td>\n",
       "      <td>10.0</td>\n",
       "      <td>21.75</td>\n",
       "      <td>27.0</td>\n",
       "      <td>30.00</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.8</th>\n",
       "      <td>100.0</td>\n",
       "      <td>26.09</td>\n",
       "      <td>6.444942</td>\n",
       "      <td>11.0</td>\n",
       "      <td>21.00</td>\n",
       "      <td>26.0</td>\n",
       "      <td>31.00</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.9</th>\n",
       "      <td>100.0</td>\n",
       "      <td>25.73</td>\n",
       "      <td>6.353008</td>\n",
       "      <td>13.0</td>\n",
       "      <td>21.00</td>\n",
       "      <td>25.0</td>\n",
       "      <td>30.25</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>100.0</td>\n",
       "      <td>24.38</td>\n",
       "      <td>6.409872</td>\n",
       "      <td>10.0</td>\n",
       "      <td>20.00</td>\n",
       "      <td>24.0</td>\n",
       "      <td>28.00</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1815 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           count    mean        std    min     25%    50%  \\\n",
       "test_freq p_vax p_sd p_fm                                                   \n",
       "0         0.0   0.0  0.0   100.0  364.30  49.978884  160.0  350.00  374.0   \n",
       "                     0.1   100.0  288.58  59.213734   52.0  259.75  299.5   \n",
       "                     0.2   100.0  226.27  56.647030   60.0  200.25  236.5   \n",
       "                     0.3   100.0  173.03  54.725847   22.0  142.75  175.5   \n",
       "                     0.4   100.0  119.21  39.133363   31.0   90.75  122.5   \n",
       "...                          ...     ...        ...    ...     ...    ...   \n",
       "28        0.4   1.0  0.6   100.0   27.12   6.453063   13.0   22.75   27.0   \n",
       "                     0.7   100.0   26.26   6.611316   10.0   21.75   27.0   \n",
       "                     0.8   100.0   26.09   6.444942   11.0   21.00   26.0   \n",
       "                     0.9   100.0   25.73   6.353008   13.0   21.00   25.0   \n",
       "                     1.0   100.0   24.38   6.409872   10.0   20.00   24.0   \n",
       "\n",
       "                              75%    max  \n",
       "test_freq p_vax p_sd p_fm                 \n",
       "0         0.0   0.0  0.0   399.50  443.0  \n",
       "                     0.1   325.50  385.0  \n",
       "                     0.2   268.00  326.0  \n",
       "                     0.3   211.25  320.0  \n",
       "                     0.4   147.00  212.0  \n",
       "...                           ...    ...  \n",
       "28        0.4   1.0  0.6    32.00   48.0  \n",
       "                     0.7    30.00   40.0  \n",
       "                     0.8    31.00   47.0  \n",
       "                     0.9    30.25   44.0  \n",
       "                     1.0    28.00   40.0  \n",
       "\n",
       "[1815 rows x 8 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aggdf = df.groupby(['test_freq','p_vax','p_sd','p_fm'])['cum_uniq_inf'].describe()\n",
    "aggdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Every 3 Days',\n",
       " 'Every 7 Days',\n",
       " 'Every 14 Days',\n",
       " 'Every 28 Days',\n",
       " 'Symptomatic Only']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annotate = [\"0%\\nImmune\", \"20%\\nImmune\", \"40%\\nImmune\", \"60%\\nImmune\", \"80%\\nImmune\"]\n",
    "title = 'Every {freq} Days'\n",
    "titles = [title.format(freq = f) for f in [3,7,14,28]] + ['Symptomatic Only']\n",
    "titles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1224 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpl.rcParams['axes.titlesize'] = 'xx-large'\n",
    "mpl.rcParams['axes.labelsize'] = 'xx-large'\n",
    "\n",
    "f, axs = plt.subplots(3, 5, figsize = (25, 17), sharex = True, sharey = True)\n",
    "#f.suptitle('Testing Frequency', fontsize = 20, y = 0.93)\n",
    "f.subplots_adjust(wspace=0.03, hspace=0.05)\n",
    "\n",
    "# Loop through rows\n",
    "for (i, p_vax) in enumerate(df.p_vax.unique()):\n",
    "    \n",
    "    # Loop through testing values (columns)\n",
    "    for (j, tf) in enumerate(df.test_freq.unique()):\n",
    "        \n",
    "        if tf==0:\n",
    "            j = 4\n",
    "        else:\n",
    "            j = j-1\n",
    "        \n",
    "        # Format data\n",
    "        pltdf = df.loc[(df.test_freq == tf) & (df.p_vax == p_vax)]\n",
    "        xvals = pltdf.p_sd.unique()\n",
    "        yvals = pltdf.p_fm.unique()\n",
    "        pltx = [min(xvals)-0.05] + ((xvals[1:]+xvals[:-1])/2).tolist() + [max(xvals) + 0.05]\n",
    "        plty = [min(yvals)-0.05] + ((yvals[1:]+yvals[:-1])/2).tolist() + [max(yvals) + 0.05]\n",
    "        # Column index corresponds to x-coord, row corresponds to y-coord\n",
    "        vals = np.array(pltdf.groupby(['p_sd','p_fm'])['cum_uniq_inf'].mean()).reshape((11,11)).T/692\n",
    "\n",
    "        # Make plot\n",
    "        bounds = np.linspace(0, 0.55, 12)\n",
    "        norm = mpl.colors.BoundaryNorm(boundaries=bounds, ncolors=256)\n",
    "        im = axs[i,j].pcolormesh(pltx, plty, vals, norm = norm, cmap='RdYlGn_r')\n",
    "        if i==0:\n",
    "            axs[i,j].set_title(titles[j], fontsize = 20)\n",
    "        if j==0:\n",
    "            axs[i,j].set_ylabel('% Wearing Face Mask', fontsize = 20)\n",
    "        if (i+1)==df.p_vax.nunique():\n",
    "            axs[i,j].set_xlabel('% Social Distancing', fontsize = 20)\n",
    "            \n",
    "        # Adjust ticks and labels\n",
    "        axs[i,j].tick_params(axis = 'x', labelsize = 12)\n",
    "        axs[i,j].tick_params(axis = 'y', labelsize = 12)\n",
    "\n",
    "        # Annotate if last column\n",
    "        if (j+1)==df.test_freq.nunique():\n",
    "            axs[i,j].text(1.25, 0.5, annotate[i], fontsize = 20, ha='center', va='center')\n",
    "\n",
    "        # Add text annotations\n",
    "        for (k, x) in enumerate(xvals):\n",
    "            for (l, y) in enumerate(yvals):\n",
    "                if (vals[l,k]>=0.2) & (vals[l,k]<=0.45):\n",
    "                    text = axs[i,j].text(x, y, np.around(vals[l,k],2), ha=\"center\", va=\"center\", color = \"gray\", fontsize = 8)\n",
    "                else:\n",
    "                    text = axs[i,j].text(x, y, np.around(vals[l,k],2), ha=\"center\", va=\"center\", color = \"whitesmoke\", fontsize = 8)\n",
    "\n",
    "\n",
    "# Add colorbar\n",
    "cbar_ax = f.add_axes([0.05, 0.25, 0.01, 0.5])\n",
    "f.colorbar(im, ax=axs.ravel().tolist(), cax = cbar_ax, label = '% of Population Infected')\n",
    "cbar_ax.yaxis.set_ticks_position('right')\n",
    "cbar_ax.yaxis.set_label_position('left')\n",
    "cbar_ax.yaxis.label.set_size(20)\n",
    "cbar_ax.tick_params(labelsize=16)\n",
    "plt.savefig('Heatmap_locom_vax_trans.eps', bbox_inches='tight', transparent=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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