From 69f07104607508d78d13def8a26cb26d94a4b6db Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Tue, 9 Jul 2024 17:52:43 +0200
Subject: [PATCH 01/36] chore: update market creator

---
 packages/packages.json                        |  8 +++----
 .../agents/market_maker/aea-config.yaml       |  6 ++---
 .../valory/services/market_maker/service.yaml |  4 +---
 .../behaviours.py                             | 23 +++++++++++--------
 .../market_creation_manager_abci/models.py    |  8 -------
 .../market_creation_manager_abci/skill.yaml   |  6 ++---
 .../skills/market_maker_abci/skill.yaml       |  4 +---
 7 files changed, 23 insertions(+), 36 deletions(-)

diff --git a/packages/packages.json b/packages/packages.json
index 919c08a..83eb5ab 100644
--- a/packages/packages.json
+++ b/packages/packages.json
@@ -3,10 +3,10 @@
         "contract/valory/fpmm_deterministic_factory/0.1.0": "bafybeigjfuahxhb2y4q5ueayry55boaojcryoamwr6fshgayf5s762vpl4",
         "contract/valory/wxdai/0.1.0": "bafybeidalocwbhmbto6ii6adldtpcughtdt6j3v4tv36utevjk2wrdyqie",
         "contract/valory/fpmm/0.1.0": "bafybeiai2ruj27nnglvn7yc5atojyojo3fkmofw6wrjgz2ybps2uwdizx4",
-        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeibg5r6nfsc6vriijjkwx7k5banxdalwl4umu5ggjbwrselvgs2z7u",
-        "skill/valory/market_maker_abci/0.1.0": "bafybeidindpjfmasok5bpjujaytbqhtvsu6sp5fxlu2i2rwt2hhk66ytye",
-        "agent/valory/market_maker/0.1.0": "bafybeie4xnbsq32waqc5scvhgyg5nttalo7klfijf53bwaxo5u44nrqlbq",
-        "service/valory/market_maker/0.1.0": "bafybeibsrih6fw4f4v6jqq7thhovepg7zel2ei6wz4ngpquxdldr2lx7iq"
+        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeigqvuxwm2mpxay3wxbfluxhiozpih7pugnf42uxd2u2n452ysotum",
+        "skill/valory/market_maker_abci/0.1.0": "bafybeiazwzxke6nsp5i2tolobeerphx3pqlj7pjwclvbly64sdqli6g5nu",
+        "agent/valory/market_maker/0.1.0": "bafybeifdtifzedjt3qyz37ws25khq6qjspzka37uctjht3an4ymsoh4use",
+        "service/valory/market_maker/0.1.0": "bafybeicwp3cuz5w4wjj3prk3elabhqrcqnped33c3e5a4srqx2w3fubelu"
     },
     "third_party": {
         "protocol/valory/contract_api/1.0.0": "bafybeidgu7o5llh26xp3u3ebq3yluull5lupiyeu6iooi2xyymdrgnzq5i",
diff --git a/packages/valory/agents/market_maker/aea-config.yaml b/packages/valory/agents/market_maker/aea-config.yaml
index 1c24253..cb10f20 100644
--- a/packages/valory/agents/market_maker/aea-config.yaml
+++ b/packages/valory/agents/market_maker/aea-config.yaml
@@ -37,9 +37,9 @@ protocols:
 skills:
 - valory/abstract_abci:0.1.0:bafybeieh4ei3qdelmacnm7vwq57phoewgumr3udvxt6pybmuggwc3yk65q
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
-- valory/market_maker_abci:0.1.0:bafybeidindpjfmasok5bpjujaytbqhtvsu6sp5fxlu2i2rwt2hhk66ytye
+- valory/market_maker_abci:0.1.0:bafybeiazwzxke6nsp5i2tolobeerphx3pqlj7pjwclvbly64sdqli6g5nu
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
-- valory/market_creation_manager_abci:0.1.0:bafybeibg5r6nfsc6vriijjkwx7k5banxdalwl4umu5ggjbwrselvgs2z7u
+- valory/market_creation_manager_abci:0.1.0:bafybeigqvuxwm2mpxay3wxbfluxhiozpih7pugnf42uxd2u2n452ysotum
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
@@ -162,7 +162,6 @@ models:
       markets_to_approve_per_day: ${int:10}
       min_approve_markets_epoch_seconds: ${int:43200}
       approve_market_event_days_offset: ${int:5}
-      approve_market_creator: ${str:0x0000000000000000000000000000000000000000}
       market_approval_server_url: ${str:http://127.0.0.1:5000}
       market_approval_server_api_key: ${str:api_key}
       newsapi_endpoint: ${str:https://newsapi.org/v2}
@@ -214,7 +213,6 @@ models:
       light_slash_unit_amount: ${int:5000000000000000}
       serious_slash_unit_amount: ${int:8000000000000000}
       xdai_threshold: ${int:1000000000000000000}
-      market_closing_newsapi_api_key: ${str:f1ea36ae6175474bbcbae11eca64d0b9}
       google_api_key: ${str:google_api_key}
       google_engine_id: ${str:google_engine_id}
       openai_api_key: ${str:openai_api_key}
diff --git a/packages/valory/services/market_maker/service.yaml b/packages/valory/services/market_maker/service.yaml
index 60ed52c..19115a1 100644
--- a/packages/valory/services/market_maker/service.yaml
+++ b/packages/valory/services/market_maker/service.yaml
@@ -7,7 +7,7 @@ license: Apache-2.0
 fingerprint:
   README.md: bafybeibwz3af6326msp4h3kqehijvmyhaytvyfbo3o2npc2w4b6zrg6pfq
 fingerprint_ignore_patterns: []
-agent: valory/market_maker:0.1.0:bafybeie4xnbsq32waqc5scvhgyg5nttalo7klfijf53bwaxo5u44nrqlbq
+agent: valory/market_maker:0.1.0:bafybeifdtifzedjt3qyz37ws25khq6qjspzka37uctjht3an4ymsoh4use
 number_of_agents: 1
 deployment:
   agent:
@@ -47,7 +47,6 @@ models:
       markets_to_approve_per_day: ${MARKETS_TO_APPROVE_PER_DAY:int:10}
       min_approve_markets_epoch_seconds: ${MIN_APPROVE_MARKETS_EPOCH_SECONDS:int:43200}
       approve_market_event_days_offset: ${APPROVE_MARKET_EVENT_DAYS_OFFSET:int:5}
-      approve_market_creator: ${APPROVE_MARKET_CREATOR:str:0x89c5cc945dd550BcFfb72Fe42BfF002429F46Fec}
       market_approval_server_url: ${MARKET_APPROVAL_SERVER_URL:str:http://127.0.0.1:5000}
       market_approval_server_api_key: ${MARKET_APPROVAL_SERVER_API_KEY:str:api_key}
       newsapi_endpoint: ${NEWSAPI_ENDPOINT:str:https://newsapi.org/v2}
@@ -102,7 +101,6 @@ models:
       slash_threshold_amount: ${SLASH_THRESHOLD_AMOUNT:int:10000000000000000}
       light_slash_unit_amount: ${LIGHT_SLASH_UNIT_AMOUNT:int:5000000000000000}
       serious_slash_unit_amount: ${SERIOUS_SLASH_UNIT_AMOUNT:int:8000000000000000}
-      market_closing_newsapi_api_key: ${MARKET_CLOSING_NEWSAPI_API_KEY:str:f1ea36ae6175474bbcbae11eca64d0b9}
       google_api_key: ${GOOGLE_API_KEY:str:google_api_key}
       google_engine_id: ${GOOGLE_ENGINE_ID:str:google_engine_id}
       openai_api_key: ${OPENAI_API_KEY:str:openai_api_key}
diff --git a/packages/valory/skills/market_creation_manager_abci/behaviours.py b/packages/valory/skills/market_creation_manager_abci/behaviours.py
index 8c4ddc4..74f7298 100644
--- a/packages/valory/skills/market_creation_manager_abci/behaviours.py
+++ b/packages/valory/skills/market_creation_manager_abci/behaviours.py
@@ -516,7 +516,7 @@ def async_act(self) -> Generator:
                 int(entry["creationTimestamp"])
                 for entry in latest_open_markets.get("fixedProductMarketMakers", {})
             ]
-            largest_creation_timestamp = max(creation_timestamps)
+            largest_creation_timestamp = max(creation_timestamps, default=0)
             self.context.logger.info(
                 f"largest_creation_timestamp={largest_creation_timestamp}"
             )
@@ -565,7 +565,7 @@ def async_act(self) -> Generator:
             else:
                 self.context.logger.info("Timeout to approve markets reached.")
 
-                min_timestamp_to_approve = min(
+                max_timestamp_to_approve = max(
                     (
                         ts
                         for ts, value in required_markets_to_approve.items()
@@ -576,8 +576,8 @@ def async_act(self) -> Generator:
 
                 # On the market approval server, resolution_time is one day less than openingTimestamp
                 proposed_markets = yield from self._collect_latest_proposed_markets(
-                    min_timestamp_to_approve - _ONE_DAY,
-                    min_timestamp_to_approve,
+                    max_timestamp_to_approve - _ONE_DAY,
+                    max_timestamp_to_approve,
                 )
 
                 proposed_markets_timestamps: Dict[int, int] = defaultdict(int)
@@ -592,7 +592,7 @@ def async_act(self) -> Generator:
                 content_data.update(latest_open_markets)
                 content_data.update(proposed_markets)
                 content_data["num_markets_to_approve"] = required_markets_to_approve[
-                    min_timestamp_to_approve
+                    max_timestamp_to_approve
                 ]
                 content_data["timestamp"] = current_timestamp
                 content = json.dumps(content_data, sort_keys=True)
@@ -659,7 +659,8 @@ def _collect_latest_open_markets(
         self, openingTimestamp_gte: int, openingTimestamp_lte: int
     ) -> Generator[None, None, Dict[str, Any]]:
         """Collect FPMM from subgraph."""
-        creator = self.params.approve_market_creator
+        creator = self.synchronized_data.safe_contract_address.lower()
+        self.context.logger.info(f"_collect_latest_open_markets {creator=}")
         response = yield from self.get_subgraph_result(
             query=FPMM_QUERY.substitute(
                 creator=creator,
@@ -1132,10 +1133,10 @@ def get_payload(self) -> Generator[None, None, str]:
 
     def get_markets(self) -> Generator[None, None, Tuple[List[Dict[str, Any]], int]]:
         """Collect FMPMM from subgraph."""
+        creator = self.synchronized_data.safe_contract_address.lower()
+        self.context.logger.info(f"get_markets {creator=}")
         response = yield from self.get_subgraph_result(
-            query=FPMM_POOL_MEMBERSHIPS_QUERY.substitute(
-                creator=self.synchronized_data.safe_contract_address.lower(),
-            )
+            query=FPMM_POOL_MEMBERSHIPS_QUERY.substitute(creator=creator)
         )
         if response is None:
             return [], 0
@@ -1749,9 +1750,10 @@ def _propose_market(
         self, proposed_market_data: Dict[str, str]
     ) -> Generator[None, None, str]:
         """Auxiliary method to propose a market to the endpoint."""
-        self.context.logger.info(f"Proposing market {proposed_market_data}")
 
         url = self.params.market_approval_server_url + "/propose_market"
+        self.context.logger.info(f"Proposing market {proposed_market_data} on {url}")
+
         headers = {
             "Authorization": self.params.market_approval_server_api_key,
             "Content-Type": "application/json",
@@ -2257,6 +2259,7 @@ def _get_unanswered_questions(
     ) -> Generator[None, None, List[Dict[str, Any]]]:
         """Collect FPMM from subgraph."""
         creator = self.synchronized_data.safe_contract_address.lower()
+        self.context.logger.info(f"_get_unanswered_questions {creator=}")
         response = yield from self.get_subgraph_result(
             query=OPEN_FPMM_QUERY.substitute(
                 creator=creator,
diff --git a/packages/valory/skills/market_creation_manager_abci/models.py b/packages/valory/skills/market_creation_manager_abci/models.py
index 7922511..cfe2ddf 100644
--- a/packages/valory/skills/market_creation_manager_abci/models.py
+++ b/packages/valory/skills/market_creation_manager_abci/models.py
@@ -103,11 +103,6 @@ def __init__(self, *args: Any, **kwargs: Any) -> None:
         self.approve_market_event_days_offset = self._ensure(
             "approve_market_event_days_offset", kwargs, type_=int
         )
-        self.approve_market_creator = self._ensure(
-            key="approve_market_creator",
-            kwargs=kwargs,
-            type_=str,
-        )
         self.realitio_contract = self._ensure(
             key="realitio_contract",
             kwargs=kwargs,
@@ -152,9 +147,6 @@ def __init__(self, *args: Any, **kwargs: Any) -> None:
         self.market_proposal_round_timeout_seconds_per_day = self._ensure(
             "market_proposal_round_timeout_seconds_per_day", kwargs, type_=int
         )
-        self.market_closing_newsapi_api_key = self._ensure(
-            "market_closing_newsapi_api_key", kwargs, type_=str
-        )
         self.google_api_key = self._ensure("google_api_key", kwargs, type_=str)
         self.google_engine_id = self._ensure("google_engine_id", kwargs, type_=str)
         self.openai_api_key = self._ensure("openai_api_key", kwargs, type_=str)
diff --git a/packages/valory/skills/market_creation_manager_abci/skill.yaml b/packages/valory/skills/market_creation_manager_abci/skill.yaml
index c19f2f6..84f2fac 100644
--- a/packages/valory/skills/market_creation_manager_abci/skill.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/skill.yaml
@@ -10,11 +10,11 @@ aea_version: '>=1.0.0, <2.0.0'
 fingerprint:
   .gitignore: bafybeihdfdezgtr3s2lzq5y3oaitfrdy4u4pehionju2bdez35wcjgqx6y
   __init__.py: bafybeibkyjt4covc4yhd22aw7kav45zozk3exdv344emt3lilln64soaxm
-  behaviours.py: bafybeigqohcwcmboyit2ihfo3b5bxoedltvrgr2u6uotb7aomr4d4aotle
+  behaviours.py: bafybeicpwlydvflhvmcxrjj4rfzpoi5bu72k3iwzryfxj2zfe3xsykhvem
   dialogues.py: bafybeicmaufkl7vdomnfciv7lw4536ssld7x4uemdapuhsyvfpd4ncibza
   fsm_specification.yaml: bafybeicps5t2anm7fv35fwnw7oolaxxmpmjio6mdw4sc6rzpnsolph5xlm
   handlers.py: bafybeietxjfli2i57kb7heoy772rcq2znusl36gg7jjj5g3pddw7egny3q
-  models.py: bafybeibef4czds6n7h6bgdcpfmfrhakbtegm4iffauz24pmsu7xaaw6abe
+  models.py: bafybeidwkm77ozr2x7qpxpvyiuerz6ih2k4bd5p25hqzzbrvhkyknwcrue
   payloads.py: bafybeibu7sptf43adazxpyzwtfpph7bgfhtwiotg5sdlcwjt6iw3idqn7a
   rounds.py: bafybeie6rgwfulbu5xkuvxgrujbvenioyfggtzlmt23pbm6auzj3w4se44
   tests/__init__.py: bafybeihfxvqnyfly72tbxnnnglshcilm2kanihqnjiasvcz3ec3csw32ti
@@ -95,12 +95,10 @@ models:
       markets_to_approve_per_day: 10
       min_approve_markets_epoch_seconds: 43200
       approve_market_event_days_offset: 5
-      approve_market_creator: '0x0000000000000000000000000000000000000000'
       market_approval_server_url: http://127.0.0.1:5000
       market_approval_server_api_key: api_key
       newsapi_endpoint: https://newsapi.org/v2
       newsapi_api_key: f1ea36ae6175474bbcbae11eca64d0b9
-      market_closing_newsapi_api_key: f1ea36ae6175474bbcbae11eca64d0b9
       google_api_key: google_api_key
       google_engine_id: google_engine_id
       openai_api_key: openai_api_key
diff --git a/packages/valory/skills/market_maker_abci/skill.yaml b/packages/valory/skills/market_maker_abci/skill.yaml
index b4e0be9..d693403 100644
--- a/packages/valory/skills/market_maker_abci/skill.yaml
+++ b/packages/valory/skills/market_maker_abci/skill.yaml
@@ -24,7 +24,7 @@ skills:
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
-- valory/market_creation_manager_abci:0.1.0:bafybeibg5r6nfsc6vriijjkwx7k5banxdalwl4umu5ggjbwrselvgs2z7u
+- valory/market_creation_manager_abci:0.1.0:bafybeigqvuxwm2mpxay3wxbfluxhiozpih7pugnf42uxd2u2n452ysotum
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
 - valory/mech_interact_abci:0.1.0:bafybeieryw7rk2tspyxx46loqqqimr2l5vvhtshiyg2mmdxijzb7pdoi6a
@@ -89,7 +89,6 @@ models:
       markets_to_approve_per_day: 10
       min_approve_markets_epoch_seconds: 43200
       approve_market_event_days_offset: 5
-      approve_market_creator: '0x0000000000000000000000000000000000000000'
       market_approval_server_url: http://127.0.0.1:5000
       market_approval_server_api_key: api_key
       newsapi_endpoint: https://newsapi.org/v2
@@ -204,7 +203,6 @@ models:
       use_slashing: false
       slash_cooldown_hours: 3
       questions_to_close_batch_size: 1
-      market_closing_newsapi_api_key: f1ea36ae6175474bbcbae11eca64d0b9
       google_api_key: google_api_key
       google_engine_id: google_engine_id
       openai_api_key: openai_api_key

From 21c8e7ba254e8eb084a5b82f811847996e9ab421 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Fri, 12 Jul 2024 10:14:17 +0200
Subject: [PATCH 02/36] chore: remove temporary logging

---
 packages/packages.json                                    | 8 ++++----
 packages/valory/agents/market_maker/aea-config.yaml       | 4 ++--
 packages/valory/services/market_maker/service.yaml        | 2 +-
 .../skills/market_creation_manager_abci/behaviours.py     | 3 ---
 .../valory/skills/market_creation_manager_abci/skill.yaml | 2 +-
 packages/valory/skills/market_maker_abci/skill.yaml       | 2 +-
 6 files changed, 9 insertions(+), 12 deletions(-)

diff --git a/packages/packages.json b/packages/packages.json
index 83eb5ab..6689b26 100644
--- a/packages/packages.json
+++ b/packages/packages.json
@@ -3,10 +3,10 @@
         "contract/valory/fpmm_deterministic_factory/0.1.0": "bafybeigjfuahxhb2y4q5ueayry55boaojcryoamwr6fshgayf5s762vpl4",
         "contract/valory/wxdai/0.1.0": "bafybeidalocwbhmbto6ii6adldtpcughtdt6j3v4tv36utevjk2wrdyqie",
         "contract/valory/fpmm/0.1.0": "bafybeiai2ruj27nnglvn7yc5atojyojo3fkmofw6wrjgz2ybps2uwdizx4",
-        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeigqvuxwm2mpxay3wxbfluxhiozpih7pugnf42uxd2u2n452ysotum",
-        "skill/valory/market_maker_abci/0.1.0": "bafybeiazwzxke6nsp5i2tolobeerphx3pqlj7pjwclvbly64sdqli6g5nu",
-        "agent/valory/market_maker/0.1.0": "bafybeifdtifzedjt3qyz37ws25khq6qjspzka37uctjht3an4ymsoh4use",
-        "service/valory/market_maker/0.1.0": "bafybeicwp3cuz5w4wjj3prk3elabhqrcqnped33c3e5a4srqx2w3fubelu"
+        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeidzxfrtwdd65c5uqbcwj5csw6dnrmdcoi7lb2w4hc5rwouwtzh6ee",
+        "skill/valory/market_maker_abci/0.1.0": "bafybeiguuoyykob2kxrnvvqkxl64vs37of6r3hrevc2qfbmtw5yjhliohi",
+        "agent/valory/market_maker/0.1.0": "bafybeidstcny2k2brq3e7wnsr72lugj3rq3nzy7pjwswnf5evknc2i2ht4",
+        "service/valory/market_maker/0.1.0": "bafybeibtlh3bglhpuivnkpmpxxzul5sbv6xuaspfdakm5smhpv47bl644m"
     },
     "third_party": {
         "protocol/valory/contract_api/1.0.0": "bafybeidgu7o5llh26xp3u3ebq3yluull5lupiyeu6iooi2xyymdrgnzq5i",
diff --git a/packages/valory/agents/market_maker/aea-config.yaml b/packages/valory/agents/market_maker/aea-config.yaml
index cb10f20..2e5b76d 100644
--- a/packages/valory/agents/market_maker/aea-config.yaml
+++ b/packages/valory/agents/market_maker/aea-config.yaml
@@ -37,9 +37,9 @@ protocols:
 skills:
 - valory/abstract_abci:0.1.0:bafybeieh4ei3qdelmacnm7vwq57phoewgumr3udvxt6pybmuggwc3yk65q
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
-- valory/market_maker_abci:0.1.0:bafybeiazwzxke6nsp5i2tolobeerphx3pqlj7pjwclvbly64sdqli6g5nu
+- valory/market_maker_abci:0.1.0:bafybeiguuoyykob2kxrnvvqkxl64vs37of6r3hrevc2qfbmtw5yjhliohi
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
-- valory/market_creation_manager_abci:0.1.0:bafybeigqvuxwm2mpxay3wxbfluxhiozpih7pugnf42uxd2u2n452ysotum
+- valory/market_creation_manager_abci:0.1.0:bafybeidzxfrtwdd65c5uqbcwj5csw6dnrmdcoi7lb2w4hc5rwouwtzh6ee
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
diff --git a/packages/valory/services/market_maker/service.yaml b/packages/valory/services/market_maker/service.yaml
index 19115a1..7fd6570 100644
--- a/packages/valory/services/market_maker/service.yaml
+++ b/packages/valory/services/market_maker/service.yaml
@@ -7,7 +7,7 @@ license: Apache-2.0
 fingerprint:
   README.md: bafybeibwz3af6326msp4h3kqehijvmyhaytvyfbo3o2npc2w4b6zrg6pfq
 fingerprint_ignore_patterns: []
-agent: valory/market_maker:0.1.0:bafybeifdtifzedjt3qyz37ws25khq6qjspzka37uctjht3an4ymsoh4use
+agent: valory/market_maker:0.1.0:bafybeidstcny2k2brq3e7wnsr72lugj3rq3nzy7pjwswnf5evknc2i2ht4
 number_of_agents: 1
 deployment:
   agent:
diff --git a/packages/valory/skills/market_creation_manager_abci/behaviours.py b/packages/valory/skills/market_creation_manager_abci/behaviours.py
index 74f7298..223ad74 100644
--- a/packages/valory/skills/market_creation_manager_abci/behaviours.py
+++ b/packages/valory/skills/market_creation_manager_abci/behaviours.py
@@ -660,7 +660,6 @@ def _collect_latest_open_markets(
     ) -> Generator[None, None, Dict[str, Any]]:
         """Collect FPMM from subgraph."""
         creator = self.synchronized_data.safe_contract_address.lower()
-        self.context.logger.info(f"_collect_latest_open_markets {creator=}")
         response = yield from self.get_subgraph_result(
             query=FPMM_QUERY.substitute(
                 creator=creator,
@@ -1134,7 +1133,6 @@ def get_payload(self) -> Generator[None, None, str]:
     def get_markets(self) -> Generator[None, None, Tuple[List[Dict[str, Any]], int]]:
         """Collect FMPMM from subgraph."""
         creator = self.synchronized_data.safe_contract_address.lower()
-        self.context.logger.info(f"get_markets {creator=}")
         response = yield from self.get_subgraph_result(
             query=FPMM_POOL_MEMBERSHIPS_QUERY.substitute(creator=creator)
         )
@@ -2259,7 +2257,6 @@ def _get_unanswered_questions(
     ) -> Generator[None, None, List[Dict[str, Any]]]:
         """Collect FPMM from subgraph."""
         creator = self.synchronized_data.safe_contract_address.lower()
-        self.context.logger.info(f"_get_unanswered_questions {creator=}")
         response = yield from self.get_subgraph_result(
             query=OPEN_FPMM_QUERY.substitute(
                 creator=creator,
diff --git a/packages/valory/skills/market_creation_manager_abci/skill.yaml b/packages/valory/skills/market_creation_manager_abci/skill.yaml
index 84f2fac..5d37100 100644
--- a/packages/valory/skills/market_creation_manager_abci/skill.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/skill.yaml
@@ -10,7 +10,7 @@ aea_version: '>=1.0.0, <2.0.0'
 fingerprint:
   .gitignore: bafybeihdfdezgtr3s2lzq5y3oaitfrdy4u4pehionju2bdez35wcjgqx6y
   __init__.py: bafybeibkyjt4covc4yhd22aw7kav45zozk3exdv344emt3lilln64soaxm
-  behaviours.py: bafybeicpwlydvflhvmcxrjj4rfzpoi5bu72k3iwzryfxj2zfe3xsykhvem
+  behaviours.py: bafybeie6loksrlhrmidncajfautwsanw47nf43yavxz6kcuol3utipsa5e
   dialogues.py: bafybeicmaufkl7vdomnfciv7lw4536ssld7x4uemdapuhsyvfpd4ncibza
   fsm_specification.yaml: bafybeicps5t2anm7fv35fwnw7oolaxxmpmjio6mdw4sc6rzpnsolph5xlm
   handlers.py: bafybeietxjfli2i57kb7heoy772rcq2znusl36gg7jjj5g3pddw7egny3q
diff --git a/packages/valory/skills/market_maker_abci/skill.yaml b/packages/valory/skills/market_maker_abci/skill.yaml
index d693403..188454f 100644
--- a/packages/valory/skills/market_maker_abci/skill.yaml
+++ b/packages/valory/skills/market_maker_abci/skill.yaml
@@ -24,7 +24,7 @@ skills:
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
-- valory/market_creation_manager_abci:0.1.0:bafybeigqvuxwm2mpxay3wxbfluxhiozpih7pugnf42uxd2u2n452ysotum
+- valory/market_creation_manager_abci:0.1.0:bafybeidzxfrtwdd65c5uqbcwj5csw6dnrmdcoi7lb2w4hc5rwouwtzh6ee
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
 - valory/mech_interact_abci:0.1.0:bafybeieryw7rk2tspyxx46loqqqimr2l5vvhtshiyg2mmdxijzb7pdoi6a

From 1c6f8cb69c47b34da1e0d449532b2ea0901f7682 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Fri, 19 Jul 2024 19:28:35 +0200
Subject: [PATCH 03/36] chore: update

---
 scripts/list_finalizing_markets.ipynb | 1420 ++++++++++++++++++++++++-
 scripts/propose_markets.py            |  318 ++++++
 2 files changed, 1725 insertions(+), 13 deletions(-)
 create mode 100644 scripts/propose_markets.py

diff --git a/scripts/list_finalizing_markets.ipynb b/scripts/list_finalizing_markets.ipynb
index 081d08f..5158e60 100644
--- a/scripts/list_finalizing_markets.ipynb
+++ b/scripts/list_finalizing_markets.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -60,18 +60,296 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "          Fetching requests...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "            Fetching responses: 100%|██████████| 4355/4355 [00:44<00:00, 97.54it/s] \n",
+      "    Finding duplicate delivers: 100%|██████████| 4355/4355 [00:00<00:00, 1716263.64it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Duplicate deliver ids found: 51\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      " Processing duplicate delivers: 100%|██████████| 51/51 [00:00<00:00, 146013.31it/s]\n",
+      "    Finding duplicate delivers: 100%|██████████| 4355/4355 [00:00<00:00, 1448778.07it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Duplicate deliver ids found: 0\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "        Fetching IPFS contents: 100%|██████████| 4355/4355 [00:00<00:00, 1916503.40it/s]\n"
+     ]
+    }
+   ],
    "source": [
     "mech_requests = get_mech_requests(MARKET_CREATOR_ADDRESS)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DescribeResult(nobs=4265, minmax=(0, 42851), mean=116.70128956623681, variance=1158184.679512877, skewness=30.388762004821004, kurtosis=1157.281918140288)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Request ID</th>\n",
+       "      <th>Prompt</th>\n",
+       "      <th>Block Timestamp (UTC)</th>\n",
+       "      <th>Result</th>\n",
+       "      <th>Deliver Block Timestamp (UTC)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>16856201152864453090972376929947899316202069964245312806256121123913819307377</td>\n",
+       "      <td>Will Intel deploy its Lunar Lake CPU's secret weapon for laptop gamers on 15 July 2024?</td>\n",
+       "      <td>2024-07-19 03:18:40</td>\n",
+       "      <td>{\"has_occurred\":false}</td>\n",
+       "      <td>2024-07-19 03:22:40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>77609304565511391607447053797244979275419063575166756130981113191240982249433</td>\n",
+       "      <td>Will the NATO agency complete the $700 mln order for Stinger anti-aircraft missiles by 18 July 2024?</td>\n",
+       "      <td>2024-07-19 03:06:35</td>\n",
+       "      <td>{\"is_determinable\":false}</td>\n",
+       "      <td>2024-07-19 03:08:20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2277441146538084894654386060135379586622376710119227127443657409069419368824</td>\n",
+       "      <td>Will the Samsung Galaxy Buds 3 be released on or before 16 July 2024?</td>\n",
+       "      <td>2024-07-19 03:02:30</td>\n",
+       "      <td>{\"has_occurred\":true}</td>\n",
+       "      <td>2024-07-19 03:04:20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>82607858776209826195619743952658815809645098796432896522873786203066754384660</td>\n",
+       "      <td>Will the U.S. expand control of land sales to foreigners near 56 additional military sites by 17 July 2024?</td>\n",
+       "      <td>2024-07-19 02:58:25</td>\n",
+       "      <td>{\"has_occurred\":false}</td>\n",
+       "      <td>2024-07-19 03:01:35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>55109571341772384831423643502411221391858129785792207020549459167682437442232</td>\n",
+       "      <td>Will Jeffrey Steele release a new song on 16 July 2024?</td>\n",
+       "      <td>2024-07-19 02:53:50</td>\n",
+       "      <td>{\"is_determinable\":false}</td>\n",
+       "      <td>2024-07-19 02:54:50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5150360684272699419974768473099003466475794615127936902623689557358540931503</td>\n",
+       "      <td>Will Marine Le Pen be found guilty of alleged campaign finance violations by 17 July 2024?</td>\n",
+       "      <td>2024-07-19 01:29:50</td>\n",
+       "      <td>{\"is_determinable\":false}</td>\n",
+       "      <td>2024-07-19 01:31:15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>80562453850391917239069186445068002161574446438175022925094411263239259413458</td>\n",
+       "      <td>Will the West experience another heatwave resulting in multiple temperature records being broken on 18 July 2024?</td>\n",
+       "      <td>2024-07-19 01:18:45</td>\n",
+       "      <td>{\"is_determinable\":false}</td>\n",
+       "      <td>2024-07-19 01:21:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>93115452659776668252361935478375909510311655334527174153905385492153643571019</td>\n",
+       "      <td>Will Amber Rose speak at the Republican National Convention on 17 July 2024?</td>\n",
+       "      <td>2024-07-19 01:15:35</td>\n",
+       "      <td>{\"has_occurred\":true}</td>\n",
+       "      <td>2024-07-19 01:17:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>48660049050833315360265013412927557238057979661390387184252506050487211764022</td>\n",
+       "      <td>Will OpenAI and Arianna Huffington successfully launch their AI health coach by 18th July 2024?</td>\n",
+       "      <td>2024-07-19 00:18:15</td>\n",
+       "      <td>{\"has_occurred\":true}</td>\n",
+       "      <td>2024-07-19 00:20:45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>87723699743974983101408434549807887490341171432081925457829670984854169089092</td>\n",
+       "      <td>Will SpaceX's Falcon 9 rocket be back in operation on 18 July 2024?</td>\n",
+       "      <td>2024-07-19 00:14:55</td>\n",
+       "      <td>{\"has_occurred\":false}</td>\n",
+       "      <td>2024-07-19 00:16:30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>18242478102062584753020465567586909478402736740021870858700145082048453628308</td>\n",
+       "      <td>Will Canada meet NATO's 2% spending target by 18 July 2024?</td>\n",
+       "      <td>2024-07-19 00:11:45</td>\n",
+       "      <td>{\"has_occurred\":false}</td>\n",
+       "      <td>2024-07-19 00:14:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>101105410747395709812482439243420530514061705901387130807709849543973109808665</td>\n",
+       "      <td>Will the AI-focused COPIED Act, making removing digital watermarks illegal, be passed?</td>\n",
+       "      <td>2024-07-19 00:07:35</td>\n",
+       "      <td>{\"has_occurred\":false}</td>\n",
+       "      <td>2024-07-19 00:09:10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>12993883142424743793507969934486923192977932010657314493950310696775412148109</td>\n",
+       "      <td>Will China's Communist Party hold the key third plenum on 15-18 July 2024 as announced?</td>\n",
+       "      <td>2024-07-19 00:04:25</td>\n",
+       "      <td>{\"has_occurred\":true}</td>\n",
+       "      <td>2024-07-19 00:06:20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>17334810869679290537057026616708249168251915611932015740480771835973694880358</td>\n",
+       "      <td>Will the wildfire near Yosemite be contained by 14 July 2024?</td>\n",
+       "      <td>2024-07-18 02:12:30</td>\n",
+       "      <td>{\"has_occurred\":false}</td>\n",
+       "      <td>2024-07-18 02:14:10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>64704948724493940182722558020957217330238798958690431026914536268661212064739</td>\n",
+       "      <td>Will there be a ceasefire in Israel on 16 July 2024?</td>\n",
+       "      <td>2024-07-18 02:08:00</td>\n",
+       "      <td>{\"has_occurred\":false}</td>\n",
+       "      <td>2024-07-18 02:09:10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>75661298133141519407134612821611752065342010989107475126896447368343896677572</td>\n",
+       "      <td>Will Novak Djokovic win the Wimbledon 2024?</td>\n",
+       "      <td>2024-07-18 02:04:15</td>\n",
+       "      <td>{\"has_occurred\":false}</td>\n",
+       "      <td>2024-07-18 02:05:45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>33422998470917887714646932588745712559232379476825261412719161796775828841301</td>\n",
+       "      <td>Will OnePlus unveil four new products at the Summer Launch Event on July 16, 2024?</td>\n",
+       "      <td>2024-07-18 02:01:40</td>\n",
+       "      <td>{\"has_occurred\":true}</td>\n",
+       "      <td>2024-07-18 02:03:20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>26542362420490371866894977794498548003090463910577584523820772714543497000732</td>\n",
+       "      <td>Will Windows 11's 24H2 update fix the existing bugs on 15 July 2024?</td>\n",
+       "      <td>2024-07-18 01:07:20</td>\n",
+       "      <td>{\"is_determinable\":false}</td>\n",
+       "      <td>2024-07-18 01:08:25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2277441146538084894654386060135379586622376710119227127443657409069419368824</td>\n",
+       "      <td>Will the Samsung Galaxy Buds 3 be released on or before 16 July 2024?</td>\n",
+       "      <td>2024-07-18 00:57:25</td>\n",
+       "      <td>{\"is_determinable\":false}</td>\n",
+       "      <td>2024-07-18 00:58:45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>96709122786616208185331179031229224998187547433230798552822245345272194688700</td>\n",
+       "      <td>Will Tesla reveal its robotaxi on or by 17 July 2024?</td>\n",
+       "      <td>2024-07-18 00:54:10</td>\n",
+       "      <td>{\"has_occurred\":false}</td>\n",
+       "      <td>2024-07-18 00:56:25</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "class MechDeliverState(Enum):\n",
     "    \"\"\"Market state\"\"\"\n",
@@ -258,7 +536,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -434,9 +712,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "def _populate_with_mech_requests(data: Dict[str, Any], mech_requests: Dict[str, Any]) -> None:\n",
     "    \"\"\"Populates the markets by appending an array of the associated mech requests\"\"\"\n",
@@ -559,9 +845,988 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Mech requests per state:\n",
+      "State\n",
+      "Unknown          0\n",
+      "Closed        4314\n",
+      "Open             0\n",
+      "Pending         26\n",
+      "Finalizing      15\n",
+      "Name: Num. mech requests, dtype: int64\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_541870/335892069.py:64: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "  print(df.groupby('State')['Num. mech requests'].sum())\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Filtering [<MarketState.OPEN: 1>] markets\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe sortable\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Title</th>\n",
+       "      <th>Volume (xDAI):</th>\n",
+       "      <th>Current answer</th>\n",
+       "      <th>Num answers</th>\n",
+       "      <th>State</th>\n",
+       "      <th>Remaining time to challenge (hh:mm)</th>\n",
+       "      <th>Creation (UTC)</th>\n",
+       "      <th>Opening (UTC)</th>\n",
+       "      <th>Answer finalized (UTC)</th>\n",
+       "      <th>Resolution (UTC)</th>\n",
+       "      <th>Num. mech requests</th>\n",
+       "      <th>Mech delivers</th>\n",
+       "      <th>Deliver delay</th>\n",
+       "      <th>Mech deliver state</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xbfa584b29891941c8950ce975c1f7fa595ce1b99\" target=\"_blank\">Will TSMC start 4-nanometer chip production in its Phoenix, Arizona factory by the end of 2025?</a></td>\n",
+       "      <td>81.64</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2023-07-25T16:07:25</td>\n",
+       "      <td>2026-01-01T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xe7ed8a5f2f0f17f7d584ae8ddd0592d1ac67791f\" target=\"_blank\">Will Twitter implement a new misinformation policy before the 2024 elections?</a></td>\n",
+       "      <td>59.91</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2023-07-25T21:53:00</td>\n",
+       "      <td>2024-11-01T23:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4158</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x731c8656df3f87af35ff9e1eb1fc462cf1b9a0b3\" target=\"_blank\">Will a successor for the sacked USA soccer coach Gregg Berhalter be announced on or before 19 July 2024?</a></td>\n",
+       "      <td>34.99</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-15T00:04:35</td>\n",
+       "      <td>2024-07-20T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4159</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x75478a66a34dfa90650b3743d45e2e61b94c356b\" target=\"_blank\">Will the California Lake Fire be fully contained by 19 July 2024?</a></td>\n",
+       "      <td>13.99</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-15T00:17:40</td>\n",
+       "      <td>2024-07-20T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4160</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x6ec34deb05fc3d67113fa146736409e3afd91dc9\" target=\"_blank\">Will Billy Joel announce a new concert series by 19 July 2024?</a></td>\n",
+       "      <td>36.24</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-15T00:29:40</td>\n",
+       "      <td>2024-07-20T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4161</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xc972aff0588d5df8f3854003a4ea200fa29faf97\" target=\"_blank\">Will Idaho's Safe Haven Baby Box initiative result in a decrease in infant abandonment by 19 July 2024?</a></td>\n",
+       "      <td>3.35</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-15T00:47:15</td>\n",
+       "      <td>2024-07-20T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4162</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xaa233a02388b44aecc5b981e6ed6126fba4f1188\" target=\"_blank\">Will 'Shrek 5' officially start production by 19 July 2024?</a></td>\n",
+       "      <td>26.60</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-15T01:09:25</td>\n",
+       "      <td>2024-07-20T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4163</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x6ed59d1850812ebb80c8de7539c3cdb9681c754d\" target=\"_blank\">Will Apple release a new Mac model by 19 July 2024?</a></td>\n",
+       "      <td>45.71</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-15T03:09:55</td>\n",
+       "      <td>2024-07-20T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4164</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x90beb8dfc54cce792930a344afe0741915dcbfcf\" target=\"_blank\">Will the wedding of Mukesh Ambani's youngest son take place on 19 July 2024?</a></td>\n",
+       "      <td>14.18</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-15T03:27:20</td>\n",
+       "      <td>2024-07-20T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4165</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x429881bd0965962504fd0d6f6982e535a7edeedb\" target=\"_blank\">Will the number of Dengue cases in New York and New Jersey reach 200 by 19 July 2024?</a></td>\n",
+       "      <td>57.58</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-15T04:04:30</td>\n",
+       "      <td>2024-07-20T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4166</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x2e54da8af863c9dae4d78fa388a6e843669abc32\" target=\"_blank\">Will the voice box transplant procedure become a common practice for larynx cancer patients by 19 July 2024?</a></td>\n",
+       "      <td>13.74</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-15T04:15:25</td>\n",
+       "      <td>2024-07-20T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4167</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xf243c47f0b49509c8984b326a229373199ecf9de\" target=\"_blank\">Will the car that ran off the road into a hot geyser in Yellowstone result in any fatalities by 19th July 2024?</a></td>\n",
+       "      <td>15.30</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-15T04:26:20</td>\n",
+       "      <td>2024-07-20T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4168</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xfc81b34756848e5050a8e3929ce93038a0b8e1c4\" target=\"_blank\">Will Hakeem Jeffries implement any significant change in policy after his meeting with Joe Biden on 20 July 2024?</a></td>\n",
+       "      <td>19.64</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-16T00:40:30</td>\n",
+       "      <td>2024-07-21T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4169</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x353222fa3d9aaef55459831d0e3c1d896b7e9fbc\" target=\"_blank\">Will the US deploy long-range missiles in Germany by 20 July 2024?</a></td>\n",
+       "      <td>31.30</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-16T01:15:00</td>\n",
+       "      <td>2024-07-21T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4170</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x31f62b0952cbb9ab877f2a0acd9ac71ce5161d4a\" target=\"_blank\">Will China and Russia continue their joint naval drills on or beyond 20 July 2024?</a></td>\n",
+       "      <td>9.08</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-16T01:31:15</td>\n",
+       "      <td>2024-07-21T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4171</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x1499581e31b3d65ede909ebe170692d174736f0c\" target=\"_blank\">Will Beyonce's 'Cowboy Carter' album remain in the top 10 on Billboard charts on 20 July 2024?</a></td>\n",
+       "      <td>20.45</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-16T02:14:15</td>\n",
+       "      <td>2024-07-21T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4172</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xb71d2c3dc67477653c1096233ec844c4342c16a6\" target=\"_blank\">Will Trump push the courts further right by 20 July 2024?</a></td>\n",
+       "      <td>19.08</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-16T04:51:40</td>\n",
+       "      <td>2024-07-21T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4173</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xa13a491a932a4f0a32c1757c50416112a57fa597\" target=\"_blank\">Will Manchester United's new striker Joshua Zirkzee score a goal in his first match by 20 July 2024?</a></td>\n",
+       "      <td>10.92</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-16T05:02:40</td>\n",
+       "      <td>2024-07-21T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4174</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x4b2e8c5c6e305f9a6d66aa308ec483d4e83be97b\" target=\"_blank\">Will Samsung release its new Android XR headset by July 20, 2024?</a></td>\n",
+       "      <td>18.18</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-16T05:13:35</td>\n",
+       "      <td>2024-07-21T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4175</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x6c967e4cb553ad0980adc30baa4f6f0349a73bca\" target=\"_blank\">Will England win the Euro 2024 final against Spain?</a></td>\n",
+       "      <td>9.31</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-16T05:24:25</td>\n",
+       "      <td>2024-07-21T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4176</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x76ecd22b5c1f0e0f9429635e3a4b07e5d514a3bd\" target=\"_blank\">Will Zelensky hold talks with Russia before the U.S. presidential election on 20 July 2024?</a></td>\n",
+       "      <td>6.86</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-16T05:35:20</td>\n",
+       "      <td>2024-07-21T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4177</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xf7b1ed0a408f740edd80a10e4ef8b65558e93300\" target=\"_blank\">Will Ukraine become a member of NATO by 20 July 2024?</a></td>\n",
+       "      <td>8.89</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-16T05:46:15</td>\n",
+       "      <td>2024-07-21T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4178</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x73d2b168801a2e49594f34d47cc64f34a1a0eb10\" target=\"_blank\">Will Bitcoin maintain a value of $60,000 or higher on 21 July 2024?</a></td>\n",
+       "      <td>4.86</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-17T00:07:20</td>\n",
+       "      <td>2024-07-22T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4179</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x7e9ed558dd76d28907e599c567c399cf1de0f1d8\" target=\"_blank\">Will the California wildfire in Santa Barbara County be fully contained by July 21, 2024?</a></td>\n",
+       "      <td>15.73</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-17T00:47:05</td>\n",
+       "      <td>2024-07-22T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4180</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x0c373e1382e7d4e20b877b182624e0aaf184587e\" target=\"_blank\">Will OpenAI announce a new AI system by 21 July 2024?</a></td>\n",
+       "      <td>12.41</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-17T01:11:10</td>\n",
+       "      <td>2024-07-22T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4181</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x8ef614511a8818fed671a809ba7e9089cff667be\" target=\"_blank\">Will Spain be declared the winner of Euro 2024 on 21 July 2024?</a></td>\n",
+       "      <td>16.22</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-17T02:54:25</td>\n",
+       "      <td>2024-07-22T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4182</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x8568982193a68770aa095cee945237ebfc0bc504\" target=\"_blank\">Will Rudy Giuliani's $148 million defamation loss be fully collected by 21 July 2024?</a></td>\n",
+       "      <td>8.74</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-17T04:04:55</td>\n",
+       "      <td>2024-07-22T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4183</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x442e0a3fd736a9164ef379ef9abf4072dee6bfb0\" target=\"_blank\">Will the Olympic flame remain in Paris until 21 July 2024?</a></td>\n",
+       "      <td>10.15</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-17T04:15:45</td>\n",
+       "      <td>2024-07-22T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4184</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xd0ce3f052c7f29aedbeea747e8aa244548f4c440\" target=\"_blank\">Will the cause of the massive fish die-off in a California lake be determined by 21 July 2024?</a></td>\n",
+       "      <td>12.70</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-17T04:52:05</td>\n",
+       "      <td>2024-07-22T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4185</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x1feca341dbc9bf91b21817d31abe8ab685ef9ee2\" target=\"_blank\">Will Goldman Sachs' second quarter profits increase by more than 150% by 21 July 2024?</a></td>\n",
+       "      <td>32.70</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-17T05:03:00</td>\n",
+       "      <td>2024-07-22T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4186</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x47a8e83960c012904051a1a75aee52b7221f0447\" target=\"_blank\">Will Paul Kagame win his fourth term as president of Rwanda on 21 July 2024?</a></td>\n",
+       "      <td>9.28</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-17T05:13:55</td>\n",
+       "      <td>2024-07-22T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4187</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x15b0b876cf8ab75820caf5b12ac6c887435cf693\" target=\"_blank\">Will Samsung's Galaxy Watch 7 and Watch Ultra regain the missing feature on or by 21 July 2024?</a></td>\n",
+       "      <td>8.79</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-17T05:50:25</td>\n",
+       "      <td>2024-07-22T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4188</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x3b3e67dbc936c01b86eb38ac975fabc1dee1626e\" target=\"_blank\">Will Macy's finalize a buyout deal with Arkhouse and Brigade on 22 July 2024?</a></td>\n",
+       "      <td>9.64</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-18T00:18:05</td>\n",
+       "      <td>2024-07-23T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4189</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x9a1ee500ef0af651b2cf3a28266e9929c5ed577a\" target=\"_blank\">Will the public beta for iOS 18 be installed by a majority of iPhone users by 22 July 2024?</a></td>\n",
+       "      <td>13.54</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-18T00:39:45</td>\n",
+       "      <td>2024-07-23T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4190</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x31e3a5f356e481f75f64f93bb242a66e836eb50d\" target=\"_blank\">Will there be a second peace summit in November 2024?</a></td>\n",
+       "      <td>4.21</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-18T01:00:55</td>\n",
+       "      <td>2024-07-23T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4191</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x41b636ad23aae3a916e580afb85c994098a19ff0\" target=\"_blank\">Will England have a new football manager by 22 July 2024?</a></td>\n",
+       "      <td>13.44</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-18T02:15:40</td>\n",
+       "      <td>2024-07-23T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4192</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x0142e630731a0355019511cb8214054129828a93\" target=\"_blank\">Will Joe Biden be reelected as President in 2024?</a></td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-18T02:29:40</td>\n",
+       "      <td>2024-07-23T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4193</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xc0783b3ed7db4b8a13e1be88e940c1dab08fa1c6\" target=\"_blank\">Will Amazon's annual Prime Day sale extend beyond 22 July 2024?</a></td>\n",
+       "      <td>9.03</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-18T03:58:20</td>\n",
+       "      <td>2024-07-23T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4194</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x643544c7b0304ed8e487318a30511411d6f4d809\" target=\"_blank\">Will another rare spade-toothed whale wash up on a New Zealand beach on 22 July 2024?</a></td>\n",
+       "      <td>8.90</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-18T04:09:35</td>\n",
+       "      <td>2024-07-23T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4195</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xba27bb609c9f38e95c6365835272ed85975c295a\" target=\"_blank\">Will the Nashville dam be fully repaired by 22 July 2024?</a></td>\n",
+       "      <td>4.05</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-18T09:30:50</td>\n",
+       "      <td>2024-07-23T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4196</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x60fe20b0239c1326774ca4e46faf0374a460f9c5\" target=\"_blank\">Will Matthew McConaughey officially announce his run for political office by 22 July 2024?</a></td>\n",
+       "      <td>3.91</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-18T09:41:55</td>\n",
+       "      <td>2024-07-23T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4197</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x8ceee7982a18807a2377614055a5b94018e5e8ce\" target=\"_blank\">Will Judge Cannon's handling of the Trump case be dismissed on 22 July 2024?</a></td>\n",
+       "      <td>8.38</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-18T09:52:50</td>\n",
+       "      <td>2024-07-23T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4198</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x5f4791fb7889eeefdf671846ec6106a4d30d36ec\" target=\"_blank\">Will Venice extend the entrance fee levy for day-trippers on or by 23 July 2024?</a></td>\n",
+       "      <td>5.98</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-19T01:23:20</td>\n",
+       "      <td>2024-07-24T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4199</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x4282888673eb93203c57347a00334a4e73a22019\" target=\"_blank\">Will President Joe Biden propose major changes to the Supreme Court by 23 July 2024?</a></td>\n",
+       "      <td>4.52</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-19T03:12:15</td>\n",
+       "      <td>2024-07-24T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4200</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xe0aadd573d260e25dcdf21469c6a5ba0570f0afd\" target=\"_blank\">Will Lionel Messi recover from his injury and participate in the 2024 World Cup?</a></td>\n",
+       "      <td>7.40</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-19T03:27:10</td>\n",
+       "      <td>2024-07-24T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4201</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xf6e810e7bd424ddcf8971538bd5b953841cb7d20\" target=\"_blank\">Will there be any new war outbreak in Gaza by 23 July 2024?</a></td>\n",
+       "      <td>2.12</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-19T04:06:30</td>\n",
+       "      <td>2024-07-24T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4202</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x0ffb42bff01e8418064a891758acb1971d226987\" target=\"_blank\">Will Goldman Sachs' profits increase in the third quarter of 2024?</a></td>\n",
+       "      <td>0.76</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-19T04:18:20</td>\n",
+       "      <td>2024-07-24T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4203</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xd41a2458567766f0c0377a728bdfb0548b83f529\" target=\"_blank\">Will the ceasefire talks between Israel and Hamas result in a peace agreement by 23 July 2024?</a></td>\n",
+       "      <td>3.11</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-19T04:29:10</td>\n",
+       "      <td>2024-07-24T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4204</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0xc42149023f60fc57bb7a87ab901cef1ac2de1713\" target=\"_blank\">Will the next England manager be announced on 23 July 2024?</a></td>\n",
+       "      <td>3.48</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-19T04:40:10</td>\n",
+       "      <td>2024-07-24T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4205</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x0f4a1c922f6569c7e09a59632236d971303beea5\" target=\"_blank\">Will the issues with crashing 13th, 14th Gen Intel CPUs be resolved by 23 July 2024?</a></td>\n",
+       "      <td>3.58</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-19T04:51:05</td>\n",
+       "      <td>2024-07-24T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4206</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x3cf9ff5fff8b7e2628eb14abfbb5d4c2b39972b1\" target=\"_blank\">Will the remains found at wastewater station be confirmed as Caleb Harris by 23 July 2024?</a></td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-19T05:02:00</td>\n",
+       "      <td>2024-07-24T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4207</th>\n",
+       "      <td><a href=\"https://aiomen.eth.limo/#/0x816b128db4936ec1439d133023b806f5b2b14244\" target=\"_blank\">Will Donald Trump win the RNC nomination on 23 July 2024?</a></td>\n",
+       "      <td>5.84</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Open</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-07-19T05:13:00</td>\n",
+       "      <td>2024-07-24T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "\n",
     "def plot_opened_markets(data: Dict[str, Any]) -> None:\n",
@@ -650,15 +1915,20 @@
     "# Select markets to display\n",
     "market_states = [\n",
     "    #MarketState.OPEN,\n",
-    "    MarketState.PENDING,\n",
-    "    MarketState.FINALIZING,\n",
+    "    #MarketState.PENDING,\n",
+    "    #MarketState.FINALIZING,\n",
     "    #MarketState.ARBITRATING,\n",
-    "    #MarketState.CLOSED,\n",
+    "    MarketState.CLOSED,\n",
     "    #MarketState.UNKNOWN\n",
     "]\n",
     "\n",
     "print(f\"Filtering {market_states} markets\")\n",
     "df_filtered = df[df[\"State\"].isin(market_states)]\n",
+    "df_filtered = df[df[\"Current answer\"]==\"Invalid\"]\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
     "pd.options.display.max_colwidth = 150\n",
     "html = df_filtered.to_html(\n",
     "    escape=False,\n",
@@ -668,6 +1938,130 @@
     "\n",
     "display(HTML(html))"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "358\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "- Will there be another attack on Tel Aviv by Hamas by 5 June 2024?\n",
+      "- Will Elon Musk's disputed $58 billion compensation package be approved by institutional investors by 8 June 2024?\n",
+      "- Will Apple TV Plus app be available on Google Pixel 8 Pro or Samsung’s Galaxy Z Fold 5 by 8 June 2024?\n",
+      "- Will Samsung succeed in blocking Oura's smart ring patent claims by 9 June 2024?\n",
+      "- Will Google's adjustments to its AI Overviews significantly improve the search results by 9 June 2024?\n",
+      "- Will Jude Bellingham score a goal in his next match on 10 June 2024?\n",
+      "- Will Meta's v66 update fix the biggest annoyances of Quest 3 by 11 June 2024?\n",
+      "- Will Russian teenager Mirra Andreeva win the French Open 2024?\n",
+      "- Will Australia win the T20 World Cup 2024?\n",
+      "- Will there be a significant drop in the price of iPads on 14 June 2024?\n",
+      "- Will the US economy add more than 272,000 jobs in June 2024?\n",
+      "- Will Apple successfully overtake the leaders in AI technology by 2024?\n",
+      "- Will Lindz McLeod and Z. K. Abraham get engaged by 18 June 2024?\n",
+      "- Will the Philadelphia Phillies win their game on 18 June 2024?\n",
+      "- Will the Ukraine Summit result in a significant diplomatic advancement or agreement on or by 22 June 2024?\n",
+      "- Will the federal bill criminalizing deepfake nudes be passed into law on 28 June 2024?\n",
+      "- Will the term 'flight deck' officially replace 'cockpit' in the Air Line Pilots Association's guidelines on 29 June 2024?\n",
+      "- Will Spotify's new Basic Plan in the United States exceed 1 million subscribers by 29 June 2024?\n",
+      "- Will there be a new Disney Plus movie release on 28 June 2024?\n",
+      "- Will the crisis formed by the Egyptian authorities on 30 June 2024 resolve the issue of the deaths during the annual Muslim pilgrimage to Mecca?\n",
+      "- Will Cameron Young break another PGA Tour record by 1 July 2024?\n",
+      "- Will Noah Lyles win the 100m race at the 2024 Paris Olympics?\n",
+      "- Will the LA Lakers win their first game under the new head coach, JJ Redick, on 1 July 2024?\n",
+      "- Will the Microsoft Surface Laptop 7th Edition be the best-selling laptop on 2 July 2024?\n",
+      "- Will England win their final group match in UEFA Euro 2024 by 2 July 2024?\n",
+      "- Will a significant rise in sea levels occur due to the new Antarctic ice sheet ‘tipping point’ on 2 July 2024?\n",
+      "- Will Donald Trump win Florida's 30 electoral votes in the 2024 election?\n",
+      "- Will US and Vietnam reach an economic agreement on 3 July 2024?\n",
+      "- Will the Toyota and Lexus SUVs recall due to an airbag problem be completed by 3 July 2024?\n",
+      "- Will Phil Foden score a goal in the Euro 2024 finals on 4 July 2024?\n",
+      "- Will a major wildfire occur near Athens by 5 July 2024?\n",
+      "- Will the Detroit Police Department's revised facial recognition policies result in a decrease in wrongful arrests by 6 July 2024?\n",
+      "- Will England win their next match in the Euro 2024 on or by 6 July 2024?\n",
+      "- Will Pro-Ject release a new version of its Configurator by 6 July 2024?\n",
+      "- Will Microsoft's Surface Laptops surpass Apple's MacBooks in performance and repairability by 7 July 2024?\n",
+      "- Will the Supreme Court's ruling on internet speech cases have a significant impact on social media laws in Texas and Florida by 9 July 2024?\n",
+      "- Will Big Green Egg CEO Dan Gertsacov successfully expand the market for grills by 9 July 2024?\n",
+      "- Will the US military send its newest fighter jets to Japan by 11 July 2024?\n",
+      "- Will the southern New Jersey forest fire be completely extinguished by 12 July 2024?\n",
+      "- Will Tadej Pogacar win the Tour de France on 12 July 2024?\n",
+      "- Will George Russell win the British Grand Prix in 2024?\n",
+      "- Will the Esports World Cup in Saudi Arabia conclude successfully on 14 July 2024?\n",
+      "- Will Emma Raducanu win a major tennis tournament by 15 July 2024?\n",
+      "- Will Jeffrey Steele release a new song on 16 July 2024?\n"
+     ]
+    }
+   ],
+   "source": [
+    "def plot_closed_markets(data: Dict[str, Any], start_timestamp: int, end_timestamp: int) -> None:\n",
+    "    markets = data[\"data\"][\"fixedProductMarketMakers\"]\n",
+    "    \n",
+    "    filtered_markets = [\n",
+    "        item for item in markets\n",
+    "        if item['creationTimestamp'] is not None and\n",
+    "        start_timestamp <= int(item['creationTimestamp']) < end_timestamp\n",
+    "    ]\n",
+    "    \n",
+    "    print(len(filtered_markets))\n",
+    "    answer_counts = {}\n",
+    "\n",
+    "    for item in filtered_markets:\n",
+    "        current_answer = item.get('currentAnswer')\n",
+    "        \n",
+    "        if current_answer is not None:\n",
+    "            answer_counts[current_answer] = answer_counts.get(current_answer, 0) + 1\n",
+    "            \n",
+    "            # Collect the questions for filtered markets\n",
+    "            question = item.get('question', {}).get('title', 'No Title')\n",
+    "\n",
+    "    # Prepare data for pie chart\n",
+    "    labels = [f\"{answer_mapping.get(answer.lower(), '--')} ({count})\" for answer, count in answer_counts.items()]\n",
+    "    sizes = list(answer_counts.values())\n",
+    "\n",
+    "    # Format the dates for the title\n",
+    "    start_datetime = datetime.fromtimestamp(start_timestamp, tz=timezone.utc)\n",
+    "    end_datetime = datetime.fromtimestamp(end_timestamp, tz=timezone.utc)\n",
+    "    start_date_str = start_datetime.isoformat()\n",
+    "    end_date_str = end_datetime.isoformat()\n",
+    "\n",
+    "    # Plot pie chart\n",
+    "    plt.figure(figsize=(10, 6))\n",
+    "    plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=140, colors=plt.cm.Paired.colors)\n",
+    "    plt.title(f'Distribution of Current Answers in Closed Markets\\nCreation timestamp: >= {start_date_str} UTC < {end_date_str} UTC')\n",
+    "    plt.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
+    "    plt.show()\n",
+    "\n",
+    "    for item in filtered_markets:\n",
+    "        if item.get('currentAnswer') == \"0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff\":\n",
+    "            print(f'- {item[\"question\"].get(\"title\", \"\")}')\n",
+    "\n",
+    "\n",
+    "\n",
+    "month= 7\n",
+    "plot_closed_markets(data, int(datetime(2024, 6, 1, tzinfo=timezone.utc).timestamp()), int(datetime(2024, month+1, 31, tzinfo=timezone.utc).timestamp()))\n",
+    "\n",
+    "\n"
+   ]
   }
  ],
  "metadata": {
diff --git a/scripts/propose_markets.py b/scripts/propose_markets.py
new file mode 100644
index 0000000..c98387e
--- /dev/null
+++ b/scripts/propose_markets.py
@@ -0,0 +1,318 @@
+# -*- coding: utf-8 -*-
+# ------------------------------------------------------------------------------
+#
+#   Copyright 2023 Valory AG
+#
+#   Licensed under the Apache License, Version 2.0 (the "License");
+#   you may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+#
+# ------------------------------------------------------------------------------
+
+"""Script for testing market creator prompts."""
+
+import json
+import logging
+import os
+import random
+import secrets
+import time
+import traceback
+import uuid
+from string import Template
+from typing import Any, Dict, List, Optional, Tuple
+
+import requests
+import yaml
+from dotenv import load_dotenv
+from openai import AuthenticationError, OpenAI, RateLimitError
+
+load_dotenv(dotenv_path=".env")
+
+OPENAI_ENGINE = "gpt-4-0125-preview"
+OPENAI_MAX_TOKENS = 700
+OPENAI_TEMPERATURE = 0.7
+OPENAI_REQUEST_TIMEOUT = 600
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+NEWSAPI_API_KEY = os.getenv("NEWSAPI_API_KEY")
+
+MARKET_APPROVAL_SERVER = os.getenv("MARKET_APPROVAL_SERVER")
+MARKET_APPROVAL_SERVER_API_KEY = os.getenv("MARKET_APPROVAL_SERVER_API_KEY")
+
+MAX_RETRIES = 3
+HTTP_OK = 200
+HTTP_NO_CONTENT = 204
+TOP_HEADLINES = "top-headlines"
+ENGINES = {
+    "chat": ["gpt-3.5-turbo", "gpt-4", "gpt-4-0125-preview"],
+}
+
+MARKET_IDENTIFICATION_PROMPT = """Based on the
+        following news snippets under INPUT, formulate 10 prediction market questions
+        with clear, objective\noutcomes that can be verified on a specific date and
+        leave no room for interpretation or subjectivity.\nAvoid incorporating questions
+        that could potentially encourage unethical behavior or violence.\nEvery question
+        must be related to an event happening on or by {event_day}. The answer to
+        the question\nmust be unknown until that day, but it must be known after that
+        day.\nYour questions should follow a structure similar to this;\n\"Will VERIFIABLE_BINARY_OUTCOME_OR_PREDICTION
+        occur on {event_day}\".\nYour output must follow the output format detailed
+        under \"OUTPUT FORMAT\".\n\nINPUT\n{input_news}\n\nOUTPUT_FORMAT\n* Your output
+        response must be only a single JSON array to be parsed by Python \"json.loads()\".\n*
+        All of the date strings should be represented in YYYY-MM-DD format.\n* Each
+        entry of the JSON array must be a JSON object containing the fields;\n - question;
+        The binary question to open a prediction market.\n - answers; The possible
+        answers to the question.\n - resolution_date; The resolution date for the
+        outcome of the market to be verified.\n - topic; One word description of the
+        topic of the news and it should be one of; {topics}.\n* Output only the JSON
+        object. Do not include any other contents in your response.
+        """
+
+MARKET_IDENTIFICATION_PROMPT = """Based on the
+        following news snippets under NEWS_SNIPPETS, formulate 15 prediction market questions
+        with clear, objective outcomes.
+        
+        Each question must satisfy all the following criteria:
+        - It must be related to an event happening before EVENT_DAY or on EVENT_DAY.
+        - It must not encourage unethical behavior or violence.
+        - It should follow a structure similar to this: "Will EVENT occur on or before EVENT_DAY?"
+        - It must not include unmeasurable statements like "significant increase".
+        - Its answer must be 'yes' or 'no.
+        - Its answer must be verified using publicly available sources or news media.
+        - Its answer must not be an opinion.
+        - Its answer must be known after EVENT_DAY.
+        
+        OUTPUT_FORMAT
+        You must provide a JSON array with entries "question" and "topic". "topic" must be a topic under TOPICS.
+        
+        EVENT_DAY
+        {event_day}
+
+        INPUT
+        {input_news}
+
+        TOPICS
+        {topics}
+        """
+
+
+client: Optional[OpenAI] = None
+
+
+class OpenAIClientManager:
+    """Client context manager for OpenAI."""
+
+    def __init__(self, api_key: str):
+        self.api_key = api_key
+
+    def __enter__(self) -> OpenAI:
+        global client
+        if client is None:
+            client = OpenAI(api_key=self.api_key)
+        return client
+
+    def __exit__(self, exc_type, exc_value, traceback) -> None:
+        global client
+        if client is not None:
+            client.close()
+            client = None
+
+
+class Context:
+    def __init__(self):
+        self.logger = logging.getLogger(__name__)
+        self.logger.setLevel(
+            logging.DEBUG
+        )  # Set the logging level (e.g., DEBUG, INFO, WARNING, ERROR)
+        console_handler = logging.StreamHandler()
+        console_handler.setLevel(logging.DEBUG)  # Set the level for this handler
+        formatter = logging.Formatter(
+            "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+        )
+        console_handler.setFormatter(formatter)
+        self.logger.addHandler(console_handler)
+
+
+class Params:
+    pass
+
+
+class SynchronizedData:
+    pass
+
+
+class DataGatheringRound:
+    ERROR_PAYLOAD = "ERROR_PAYLOAD"
+    MAX_RETRIES_PAYLOAD = "MAX_RETRIES_PAYLOAD"
+    MAX_PROPOSED_MARKETS_REACHED_PAYLOAD = "MAX_PROPOSED_MARKETS_REACHED_PAYLOAD"
+    SKIP_MARKET_PROPOSAL_PAYLOAD = "SKIP_MARKET_PROPOSAL_PAYLOAD"
+
+
+class MarketProposalBehaviourMock:
+    params = Params()
+    synchronized_data = SynchronizedData()
+    context = Context()
+
+    def __init__(self):
+        self.synchronized_data.most_voted_randomness = "".join(
+            [str(random.randint(0, 9)) for _ in range(74)]
+        )
+        self.params.topics = [
+            "business",
+            "cryptocurrency",
+            "politics",
+            "science",
+            "technology",
+            "trending",
+            "fashion",
+            "social",
+            "health",
+            "sustainability",
+            "internet",
+            "travel",
+            "food",
+            "pets",
+            "animals",
+            "curiosities",
+            "music",
+            "economy",
+            "arts",
+            "entertainment",
+            "weather",
+            "sports",
+            "finance",
+            "international",
+        ]
+        self.params.market_identification_prompt = MARKET_IDENTIFICATION_PROMPT
+        self.params.newsapi_endpoint = "https://newsapi.org/v2"
+        self.params.news_sources = [
+            "bbc-news",
+            "bbc-sport",
+            "abc-news",
+            "cnn",
+            "google-news",
+            "reuters",
+            "usa-today",
+            "breitbart-news",
+            "the-verge",
+            "techradar",
+        ]
+        self.params.newsapi_api_key = os.getenv("NEWSAPI_API_KEY")
+
+    def _gather_data(self) -> str:
+        """Auxiliary method to collect data from endpoint."""
+        news_sources = self.params.news_sources
+        headers = {"X-Api-Key": self.params.newsapi_api_key}
+
+        random.seed(
+            "DataGatheringBehaviour" + self.synchronized_data.most_voted_randomness, 2
+        )  # nosec
+        k = min(10, len(news_sources))
+        sources = random.sample(news_sources, k)
+
+        parameters = {
+            "sources": ",".join(sources),
+            "pageSize": "100",
+        }
+        # only get articles from top headlines
+        url = f"{self.params.newsapi_endpoint}/{TOP_HEADLINES}"
+        response = requests.get(
+            # method="GET",
+            url=url,
+            headers=headers,
+            params=parameters,
+            timeout=60,
+        )
+        if response.status_code != HTTP_OK:
+            self.context.logger.error(
+                f"Could not retrieve response from {self.params.newsapi_endpoint}."
+                f"Received status code {response.status_code}.\n{response}"
+            )
+            retries = 3  # TODO: Make params
+            if retries >= MAX_RETRIES:
+                return DataGatheringRound.MAX_RETRIES_PAYLOAD
+            return DataGatheringRound.ERROR_PAYLOAD
+
+        response_data = json.loads(response.content.decode("utf-8"))
+        self.synchronized_data.gathered_data = response_data["articles"]
+        return json.dumps(response_data, sort_keys=True)
+
+    def _get_llm_response(
+        self, event_day: str, news_articles: List[Dict[str, Any]]
+    ) -> None:
+        """Get the LLM response"""
+
+        input_news = ""
+        for article in news_articles:
+            title = article["title"]
+            content = article["content"]
+            date = article["publishedAt"]
+            input_news += f"- ({date}) {title}\n  {content}\n\n"
+
+        topics = ", ".join(self.params.topics)
+        prompt_template = self.params.market_identification_prompt
+        prompt_values = {
+            "input_news": input_news,
+            "topics": topics,
+            "event_day": event_day,
+        }
+
+        print(
+            self._get_response(
+                prompt_template=prompt_template, prompt_values=prompt_values
+            )
+        )
+
+    def _get_response(self, prompt_template: str, prompt_values: Dict[str, str]):
+        """Get response from openai."""
+
+        # Format the prompt using input variables and prompt_values
+        formatted_prompt = (
+            prompt_template.format(**prompt_values)
+            if prompt_values
+            else prompt_template
+        )
+        engine = OPENAI_ENGINE
+
+        # Call the OpenAI API
+        if engine in ENGINES["chat"]:
+            with OpenAIClientManager(OPENAI_API_KEY):
+                # Call the OpenAI API
+                messages = [
+                    {"role": "system", "content": "You are a helpful assistant."},
+                    {"role": "user", "content": formatted_prompt},
+                ]
+                response = client.chat.completions.create(
+                    model=engine,
+                    messages=messages,
+                    temperature=OPENAI_TEMPERATURE,
+                    max_tokens=OPENAI_MAX_TOKENS,
+                    n=1,
+                    timeout=OPENAI_REQUEST_TIMEOUT,
+                    stop=None,
+                )
+                output = response.choices[0].message.content
+        else:
+            raise AttributeError(f"Unrecognized OpenAI engine: {engine}")
+
+        return output
+
+
+def main() -> None:
+    mp_behaviour = MarketProposalBehaviourMock()
+    mp_behaviour._gather_data()
+    news_articles = mp_behaviour.synchronized_data.gathered_data
+    k = min(40, len(news_articles))
+    selected_news_articles = random.sample(news_articles, k)
+    mp_behaviour._get_llm_response("30 July 2024", selected_news_articles)
+
+
+if __name__ == "__main__":
+    main()

From feb639c583bd00ac08dee27b51107e0e12eeb5ad Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Fri, 19 Jul 2024 19:52:42 +0200
Subject: [PATCH 04/36] chore: changes

---
 scripts/propose_markets.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/scripts/propose_markets.py b/scripts/propose_markets.py
index c98387e..70f7f4f 100644
--- a/scripts/propose_markets.py
+++ b/scripts/propose_markets.py
@@ -55,7 +55,7 @@
     "chat": ["gpt-3.5-turbo", "gpt-4", "gpt-4-0125-preview"],
 }
 
-MARKET_IDENTIFICATION_PROMPT = """Based on the
+MARKET_IDENTIFICATION_PROMPT_ORIGINAL = """Based on the
         following news snippets under INPUT, formulate 10 prediction market questions
         with clear, objective\noutcomes that can be verified on a specific date and
         leave no room for interpretation or subjectivity.\nAvoid incorporating questions
@@ -84,6 +84,7 @@
         - It must not encourage unethical behavior or violence.
         - It should follow a structure similar to this: "Will EVENT occur on or before EVENT_DAY?"
         - It must not include unmeasurable statements like "significant increase".
+        - It must not reference matches, sport events or any other event that do not occur on EVENT_DAY.
         - Its answer must be 'yes' or 'no.
         - Its answer must be verified using publicly available sources or news media.
         - Its answer must not be an opinion.

From 32daa25d4e0883df1fe422c79a151d4e949a0468 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Wed, 7 Aug 2024 22:28:07 +0200
Subject: [PATCH 05/36] chore: refactor variable

---
 packages/valory/agents/market_maker/aea-config.yaml           | 2 +-
 packages/valory/services/market_maker/service.yaml            | 2 +-
 .../valory/skills/market_creation_manager_abci/behaviours.py  | 4 ++--
 packages/valory/skills/market_creation_manager_abci/models.py | 4 ++--
 .../valory/skills/market_creation_manager_abci/skill.yaml     | 2 +-
 packages/valory/skills/market_maker_abci/skill.yaml           | 2 +-
 6 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/packages/valory/agents/market_maker/aea-config.yaml b/packages/valory/agents/market_maker/aea-config.yaml
index 2e5b76d..4c68241 100644
--- a/packages/valory/agents/market_maker/aea-config.yaml
+++ b/packages/valory/agents/market_maker/aea-config.yaml
@@ -207,7 +207,7 @@ models:
       use_termination: ${bool:false}
       use_slashing: ${bool:false}
       slash_cooldown_hours: ${int:3}
-      close_question_bond: ${int:1000000000000000}
+      realitio_answer_question_bond: ${int:1000000000000000}
       questions_to_close_batch_size: ${int:1}
       slash_threshold_amount: ${int:10000000000000000}
       light_slash_unit_amount: ${int:5000000000000000}
diff --git a/packages/valory/services/market_maker/service.yaml b/packages/valory/services/market_maker/service.yaml
index 7fd6570..f44233e 100644
--- a/packages/valory/services/market_maker/service.yaml
+++ b/packages/valory/services/market_maker/service.yaml
@@ -86,7 +86,7 @@ models:
       tendermint_check_sleep_delay: ${TENDERMINT_CHECK_SLEEP_DELAY:int:3}
       tendermint_com_url: ${TENDERMINT_COM_URL:str:http://localhost:8080}
       tendermint_max_retries: ${TENDERMINT_MAX_RETRIES:int:5}
-      close_question_bond: ${CLOSE_QUESTION_BOND:int:1000000000000000}
+      realitio_answer_question_bond: ${REALITIO_ANSWER_QUESTION_BOND:int:1000000000000000}
       questions_to_close_batch_size: ${QUESTIONS_TO_CLOSE_BATCH_SIZE:int:1}
       tendermint_url: ${TENDERMINT_URL:str:http://localhost:26657}
       tendermint_p2p_url: ${TENDERMINT_P2P_URL:str:localhost:26656}
diff --git a/packages/valory/skills/market_creation_manager_abci/behaviours.py b/packages/valory/skills/market_creation_manager_abci/behaviours.py
index 223ad74..381c403 100644
--- a/packages/valory/skills/market_creation_manager_abci/behaviours.py
+++ b/packages/valory/skills/market_creation_manager_abci/behaviours.py
@@ -2369,7 +2369,7 @@ def get_payload(self) -> Generator[None, None, str]:
         max_num_questions = min(
             len(eligible_questions_id), self.params.questions_to_close_batch_size
         )
-        bond_required = self.params.close_question_bond * max_num_questions
+        bond_required = self.params.realitio_answer_question_bond * max_num_questions
 
         # TODO uncomment
         if balance < bond_required:
@@ -2561,7 +2561,7 @@ def _get_answer_tx(
         data = cast(bytes, response.state.body["data"])
         return {
             "to": self.params.realitio_contract,
-            "value": self.params.close_question_bond,
+            "value": self.params.realitio_answer_question_bond,
             "data": data,
         }
 
diff --git a/packages/valory/skills/market_creation_manager_abci/models.py b/packages/valory/skills/market_creation_manager_abci/models.py
index cfe2ddf..07b3401 100644
--- a/packages/valory/skills/market_creation_manager_abci/models.py
+++ b/packages/valory/skills/market_creation_manager_abci/models.py
@@ -94,8 +94,8 @@ def __init__(self, *args: Any, **kwargs: Any) -> None:
         self.questions_to_close_batch_size = self._ensure(
             "questions_to_close_batch_size", kwargs, type_=int
         )
-        self.close_question_bond = self._ensure(
-            "close_question_bond", kwargs, type_=int
+        self.realitio_answer_question_bond = self._ensure(
+            "realitio_answer_question_bond", kwargs, type_=int
         )
         self.min_approve_markets_epoch_seconds = self._ensure(
             "min_approve_markets_epoch_seconds", kwargs, type_=int
diff --git a/packages/valory/skills/market_creation_manager_abci/skill.yaml b/packages/valory/skills/market_creation_manager_abci/skill.yaml
index 5d37100..98758a8 100644
--- a/packages/valory/skills/market_creation_manager_abci/skill.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/skill.yaml
@@ -205,7 +205,7 @@ models:
       tendermint_p2p_url: localhost:26656
       tendermint_url: http://localhost:26657
       tx_timeout: 10.0
-      close_question_bond: 1000000000000000
+      realitio_answer_question_bond: 1000000000000000
       questions_to_close_batch_size: 1
       validate_timeout: 1205
       use_termination: false
diff --git a/packages/valory/skills/market_maker_abci/skill.yaml b/packages/valory/skills/market_maker_abci/skill.yaml
index 188454f..f746c6c 100644
--- a/packages/valory/skills/market_maker_abci/skill.yaml
+++ b/packages/valory/skills/market_maker_abci/skill.yaml
@@ -207,7 +207,7 @@ models:
       google_engine_id: google_engine_id
       openai_api_key: openai_api_key
       xdai_threshold: 1000000000000000000
-      close_question_bond: 1000000000000000
+      realitio_answer_question_bond: 1000000000000000
       slash_threshold_amount: 10000000000000000
       light_slash_unit_amount: 5000000000000000
       serious_slash_unit_amount: 8000000000000000

From 4cc099e41c1b44cdaf7e9be8c66a7b7733393fa4 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Wed, 7 Aug 2024 22:49:35 +0200
Subject: [PATCH 06/36] feat: add configurable bounty

---
 packages/packages.json                                    | 8 ++++----
 packages/valory/agents/market_maker/aea-config.yaml       | 5 +++--
 packages/valory/services/market_maker/service.yaml        | 3 ++-
 .../skills/market_creation_manager_abci/behaviours.py     | 2 +-
 .../valory/skills/market_creation_manager_abci/models.py  | 3 +++
 .../valory/skills/market_creation_manager_abci/skill.yaml | 5 +++--
 packages/valory/skills/market_maker_abci/skill.yaml       | 3 ++-
 7 files changed, 18 insertions(+), 11 deletions(-)

diff --git a/packages/packages.json b/packages/packages.json
index 6689b26..165ce3e 100644
--- a/packages/packages.json
+++ b/packages/packages.json
@@ -3,10 +3,10 @@
         "contract/valory/fpmm_deterministic_factory/0.1.0": "bafybeigjfuahxhb2y4q5ueayry55boaojcryoamwr6fshgayf5s762vpl4",
         "contract/valory/wxdai/0.1.0": "bafybeidalocwbhmbto6ii6adldtpcughtdt6j3v4tv36utevjk2wrdyqie",
         "contract/valory/fpmm/0.1.0": "bafybeiai2ruj27nnglvn7yc5atojyojo3fkmofw6wrjgz2ybps2uwdizx4",
-        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeidzxfrtwdd65c5uqbcwj5csw6dnrmdcoi7lb2w4hc5rwouwtzh6ee",
-        "skill/valory/market_maker_abci/0.1.0": "bafybeiguuoyykob2kxrnvvqkxl64vs37of6r3hrevc2qfbmtw5yjhliohi",
-        "agent/valory/market_maker/0.1.0": "bafybeidstcny2k2brq3e7wnsr72lugj3rq3nzy7pjwswnf5evknc2i2ht4",
-        "service/valory/market_maker/0.1.0": "bafybeibtlh3bglhpuivnkpmpxxzul5sbv6xuaspfdakm5smhpv47bl644m"
+        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeigxyy2mr2skgkthqu5qmtkrhid7dwgdn4hylhpkoeex3g6zfgua3m",
+        "skill/valory/market_maker_abci/0.1.0": "bafybeieb7ar4k6axttw5czigtbkzilzbavpa7rilkdfj42itlxsjmmdijq",
+        "agent/valory/market_maker/0.1.0": "bafybeia3aoiq4w5v73ys5xi4lzbz7fgwtnhlxpmr2r5t62wuugm4slgkze",
+        "service/valory/market_maker/0.1.0": "bafybeig6aakuowznozsfmz3fy77uvqjm2jtj7tj2wqmkfwhiusuxvvucmm"
     },
     "third_party": {
         "protocol/valory/contract_api/1.0.0": "bafybeidgu7o5llh26xp3u3ebq3yluull5lupiyeu6iooi2xyymdrgnzq5i",
diff --git a/packages/valory/agents/market_maker/aea-config.yaml b/packages/valory/agents/market_maker/aea-config.yaml
index 4c68241..2d1daf6 100644
--- a/packages/valory/agents/market_maker/aea-config.yaml
+++ b/packages/valory/agents/market_maker/aea-config.yaml
@@ -37,9 +37,9 @@ protocols:
 skills:
 - valory/abstract_abci:0.1.0:bafybeieh4ei3qdelmacnm7vwq57phoewgumr3udvxt6pybmuggwc3yk65q
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
-- valory/market_maker_abci:0.1.0:bafybeiguuoyykob2kxrnvvqkxl64vs37of6r3hrevc2qfbmtw5yjhliohi
+- valory/market_maker_abci:0.1.0:bafybeieb7ar4k6axttw5czigtbkzilzbavpa7rilkdfj42itlxsjmmdijq
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
-- valory/market_creation_manager_abci:0.1.0:bafybeidzxfrtwdd65c5uqbcwj5csw6dnrmdcoi7lb2w4hc5rwouwtzh6ee
+- valory/market_creation_manager_abci:0.1.0:bafybeigxyy2mr2skgkthqu5qmtkrhid7dwgdn4hylhpkoeex3g6zfgua3m
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
@@ -208,6 +208,7 @@ models:
       use_slashing: ${bool:false}
       slash_cooldown_hours: ${int:3}
       realitio_answer_question_bond: ${int:1000000000000000}
+      realitio_answer_question_bounty: ${int:0}
       questions_to_close_batch_size: ${int:1}
       slash_threshold_amount: ${int:10000000000000000}
       light_slash_unit_amount: ${int:5000000000000000}
diff --git a/packages/valory/services/market_maker/service.yaml b/packages/valory/services/market_maker/service.yaml
index f44233e..18cdc4b 100644
--- a/packages/valory/services/market_maker/service.yaml
+++ b/packages/valory/services/market_maker/service.yaml
@@ -7,7 +7,7 @@ license: Apache-2.0
 fingerprint:
   README.md: bafybeibwz3af6326msp4h3kqehijvmyhaytvyfbo3o2npc2w4b6zrg6pfq
 fingerprint_ignore_patterns: []
-agent: valory/market_maker:0.1.0:bafybeidstcny2k2brq3e7wnsr72lugj3rq3nzy7pjwswnf5evknc2i2ht4
+agent: valory/market_maker:0.1.0:bafybeia3aoiq4w5v73ys5xi4lzbz7fgwtnhlxpmr2r5t62wuugm4slgkze
 number_of_agents: 1
 deployment:
   agent:
@@ -87,6 +87,7 @@ models:
       tendermint_com_url: ${TENDERMINT_COM_URL:str:http://localhost:8080}
       tendermint_max_retries: ${TENDERMINT_MAX_RETRIES:int:5}
       realitio_answer_question_bond: ${REALITIO_ANSWER_QUESTION_BOND:int:1000000000000000}
+      realitio_answer_question_bounty: ${REALITIO_ANSWER_QUESTION_BOUNTY:int:0}
       questions_to_close_batch_size: ${QUESTIONS_TO_CLOSE_BATCH_SIZE:int:1}
       tendermint_url: ${TENDERMINT_URL:str:http://localhost:26657}
       tendermint_p2p_url: ${TENDERMINT_P2P_URL:str:localhost:26656}
diff --git a/packages/valory/skills/market_creation_manager_abci/behaviours.py b/packages/valory/skills/market_creation_manager_abci/behaviours.py
index 381c403..7ca96ad 100644
--- a/packages/valory/skills/market_creation_manager_abci/behaviours.py
+++ b/packages/valory/skills/market_creation_manager_abci/behaviours.py
@@ -1932,7 +1932,7 @@ def _prepare_ask_question_mstx(
         return {
             "to": self.params.realitio_contract,
             "data": response.state.body["data"],
-            "value": ETHER_VALUE,
+            "value": self.params.realitio_answer_question_bounty,
         }
 
     def _prepare_prepare_condition_mstx(
diff --git a/packages/valory/skills/market_creation_manager_abci/models.py b/packages/valory/skills/market_creation_manager_abci/models.py
index 07b3401..f7e3acb 100644
--- a/packages/valory/skills/market_creation_manager_abci/models.py
+++ b/packages/valory/skills/market_creation_manager_abci/models.py
@@ -97,6 +97,9 @@ def __init__(self, *args: Any, **kwargs: Any) -> None:
         self.realitio_answer_question_bond = self._ensure(
             "realitio_answer_question_bond", kwargs, type_=int
         )
+        self.realitio_answer_question_bounty = self._ensure(
+            "realitio_answer_question_bounty", kwargs, type_=int
+        )
         self.min_approve_markets_epoch_seconds = self._ensure(
             "min_approve_markets_epoch_seconds", kwargs, type_=int
         )
diff --git a/packages/valory/skills/market_creation_manager_abci/skill.yaml b/packages/valory/skills/market_creation_manager_abci/skill.yaml
index 98758a8..9b9ca6d 100644
--- a/packages/valory/skills/market_creation_manager_abci/skill.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/skill.yaml
@@ -10,11 +10,11 @@ aea_version: '>=1.0.0, <2.0.0'
 fingerprint:
   .gitignore: bafybeihdfdezgtr3s2lzq5y3oaitfrdy4u4pehionju2bdez35wcjgqx6y
   __init__.py: bafybeibkyjt4covc4yhd22aw7kav45zozk3exdv344emt3lilln64soaxm
-  behaviours.py: bafybeie6loksrlhrmidncajfautwsanw47nf43yavxz6kcuol3utipsa5e
+  behaviours.py: bafybeieq7lwoujmsyevbhv3vwz3d6f3ysj6a2yxq57wf4fmhzpad3vgpjm
   dialogues.py: bafybeicmaufkl7vdomnfciv7lw4536ssld7x4uemdapuhsyvfpd4ncibza
   fsm_specification.yaml: bafybeicps5t2anm7fv35fwnw7oolaxxmpmjio6mdw4sc6rzpnsolph5xlm
   handlers.py: bafybeietxjfli2i57kb7heoy772rcq2znusl36gg7jjj5g3pddw7egny3q
-  models.py: bafybeidwkm77ozr2x7qpxpvyiuerz6ih2k4bd5p25hqzzbrvhkyknwcrue
+  models.py: bafybeib6zsvkkqszeg3zhzuiirkuwxkfzniiyauwaggn7elaw33bnen2lu
   payloads.py: bafybeibu7sptf43adazxpyzwtfpph7bgfhtwiotg5sdlcwjt6iw3idqn7a
   rounds.py: bafybeie6rgwfulbu5xkuvxgrujbvenioyfggtzlmt23pbm6auzj3w4se44
   tests/__init__.py: bafybeihfxvqnyfly72tbxnnnglshcilm2kanihqnjiasvcz3ec3csw32ti
@@ -206,6 +206,7 @@ models:
       tendermint_url: http://localhost:26657
       tx_timeout: 10.0
       realitio_answer_question_bond: 1000000000000000
+      realitio_answer_question_bounty: 0
       questions_to_close_batch_size: 1
       validate_timeout: 1205
       use_termination: false
diff --git a/packages/valory/skills/market_maker_abci/skill.yaml b/packages/valory/skills/market_maker_abci/skill.yaml
index f746c6c..a749da4 100644
--- a/packages/valory/skills/market_maker_abci/skill.yaml
+++ b/packages/valory/skills/market_maker_abci/skill.yaml
@@ -24,7 +24,7 @@ skills:
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
-- valory/market_creation_manager_abci:0.1.0:bafybeidzxfrtwdd65c5uqbcwj5csw6dnrmdcoi7lb2w4hc5rwouwtzh6ee
+- valory/market_creation_manager_abci:0.1.0:bafybeigxyy2mr2skgkthqu5qmtkrhid7dwgdn4hylhpkoeex3g6zfgua3m
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
 - valory/mech_interact_abci:0.1.0:bafybeieryw7rk2tspyxx46loqqqimr2l5vvhtshiyg2mmdxijzb7pdoi6a
@@ -208,6 +208,7 @@ models:
       openai_api_key: openai_api_key
       xdai_threshold: 1000000000000000000
       realitio_answer_question_bond: 1000000000000000
+      realitio_answer_question_bounty: 0
       slash_threshold_amount: 10000000000000000
       light_slash_unit_amount: 5000000000000000
       serious_slash_unit_amount: 8000000000000000

From 3f98888043e56aac773817f4c3bf96f835d16607 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Wed, 7 Aug 2024 22:55:00 +0200
Subject: [PATCH 07/36] fix: linters

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

diff --git a/README.md b/README.md
index 361565b..445794c 100644
--- a/README.md
+++ b/README.md
@@ -57,7 +57,7 @@ Next, prepare the [Safe](https://safe.global/). The trader agent runs as part of
 which is an [autonomous service](https://docs.autonolas.network/open-autonomy/get_started/what_is_an_agent_service/) 
 represented on-chain in the [Autonolas Protocol](https://docs.autonolas.network/protocol/) by a [Safe](https://safe.global/) multisig. Follow the next steps to obtain a **Safe address** corresponding to your agent address:
 
-1. Visit https://registry.olas.network/services/mint and connect to the Gnosis network. We recommend connecting using a wallet with a Gnosis EOA account that you own.
+1. Visit https://registry.olas.network/gnosis/services/mint and connect to the Gnosis network. We recommend connecting using a wallet with a Gnosis EOA account that you own.
 2. Fill in the following fields:
     - *"Owner address"*: a Gnosis address for which you will be able to sign later using a supported wallet. If you want to use the address you are connected to, click on *"Prefill Address"*.
     - Click on *"Generate Hash & File"* and enter the value corresponding to the `service/valory/trader/0.1.0` key in [`packages.json`](https://github.com/valory-xyz/trader/blob/main/packages/packages.json)

From f7540646b297b9935e28cb9c056df706890349a5 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Wed, 21 Aug 2024 11:46:07 +0200
Subject: [PATCH 08/36] chore: rewire market creator

---
 packages/packages.json                                    | 8 ++++----
 packages/valory/agents/market_maker/aea-config.yaml       | 4 ++--
 packages/valory/services/market_maker/service.yaml        | 2 +-
 .../market_creation_manager_abci/fsm_specification.yaml   | 2 +-
 .../valory/skills/market_creation_manager_abci/rounds.py  | 2 +-
 .../valory/skills/market_creation_manager_abci/skill.yaml | 4 ++--
 .../skills/market_maker_abci/fsm_specification.yaml       | 2 +-
 packages/valory/skills/market_maker_abci/skill.yaml       | 4 ++--
 8 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/packages/packages.json b/packages/packages.json
index 165ce3e..03005e8 100644
--- a/packages/packages.json
+++ b/packages/packages.json
@@ -3,10 +3,10 @@
         "contract/valory/fpmm_deterministic_factory/0.1.0": "bafybeigjfuahxhb2y4q5ueayry55boaojcryoamwr6fshgayf5s762vpl4",
         "contract/valory/wxdai/0.1.0": "bafybeidalocwbhmbto6ii6adldtpcughtdt6j3v4tv36utevjk2wrdyqie",
         "contract/valory/fpmm/0.1.0": "bafybeiai2ruj27nnglvn7yc5atojyojo3fkmofw6wrjgz2ybps2uwdizx4",
-        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeigxyy2mr2skgkthqu5qmtkrhid7dwgdn4hylhpkoeex3g6zfgua3m",
-        "skill/valory/market_maker_abci/0.1.0": "bafybeieb7ar4k6axttw5czigtbkzilzbavpa7rilkdfj42itlxsjmmdijq",
-        "agent/valory/market_maker/0.1.0": "bafybeia3aoiq4w5v73ys5xi4lzbz7fgwtnhlxpmr2r5t62wuugm4slgkze",
-        "service/valory/market_maker/0.1.0": "bafybeig6aakuowznozsfmz3fy77uvqjm2jtj7tj2wqmkfwhiusuxvvucmm"
+        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeibuw4lootgmocuktlkojapcpcqjx6naj35jbtyoyzogx2vrfyczhe",
+        "skill/valory/market_maker_abci/0.1.0": "bafybeigr7anwsma3ezjcksmgc6voc3nnnogm3uje2urfw2wohzdcy6eg44",
+        "agent/valory/market_maker/0.1.0": "bafybeibukrahyir5ig6a32tpg3zjpqmmowjauk4arnhwmhjjzezeqotmve",
+        "service/valory/market_maker/0.1.0": "bafybeihbrgma2fuhgadkz7jzhggnduywv4ihozqjxdeulqx7t3pkcuvhe4"
     },
     "third_party": {
         "protocol/valory/contract_api/1.0.0": "bafybeidgu7o5llh26xp3u3ebq3yluull5lupiyeu6iooi2xyymdrgnzq5i",
diff --git a/packages/valory/agents/market_maker/aea-config.yaml b/packages/valory/agents/market_maker/aea-config.yaml
index 2d1daf6..03f089d 100644
--- a/packages/valory/agents/market_maker/aea-config.yaml
+++ b/packages/valory/agents/market_maker/aea-config.yaml
@@ -37,9 +37,9 @@ protocols:
 skills:
 - valory/abstract_abci:0.1.0:bafybeieh4ei3qdelmacnm7vwq57phoewgumr3udvxt6pybmuggwc3yk65q
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
-- valory/market_maker_abci:0.1.0:bafybeieb7ar4k6axttw5czigtbkzilzbavpa7rilkdfj42itlxsjmmdijq
+- valory/market_maker_abci:0.1.0:bafybeigr7anwsma3ezjcksmgc6voc3nnnogm3uje2urfw2wohzdcy6eg44
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
-- valory/market_creation_manager_abci:0.1.0:bafybeigxyy2mr2skgkthqu5qmtkrhid7dwgdn4hylhpkoeex3g6zfgua3m
+- valory/market_creation_manager_abci:0.1.0:bafybeibuw4lootgmocuktlkojapcpcqjx6naj35jbtyoyzogx2vrfyczhe
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
diff --git a/packages/valory/services/market_maker/service.yaml b/packages/valory/services/market_maker/service.yaml
index 18cdc4b..15ab2db 100644
--- a/packages/valory/services/market_maker/service.yaml
+++ b/packages/valory/services/market_maker/service.yaml
@@ -7,7 +7,7 @@ license: Apache-2.0
 fingerprint:
   README.md: bafybeibwz3af6326msp4h3kqehijvmyhaytvyfbo3o2npc2w4b6zrg6pfq
 fingerprint_ignore_patterns: []
-agent: valory/market_maker:0.1.0:bafybeia3aoiq4w5v73ys5xi4lzbz7fgwtnhlxpmr2r5t62wuugm4slgkze
+agent: valory/market_maker:0.1.0:bafybeibukrahyir5ig6a32tpg3zjpqmmowjauk4arnhwmhjjzezeqotmve
 number_of_agents: 1
 deployment:
   agent:
diff --git a/packages/valory/skills/market_creation_manager_abci/fsm_specification.yaml b/packages/valory/skills/market_creation_manager_abci/fsm_specification.yaml
index 9959329..7d49a31 100644
--- a/packages/valory/skills/market_creation_manager_abci/fsm_specification.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/fsm_specification.yaml
@@ -99,7 +99,7 @@ transition_func:
     (MarketProposalRound, ERROR): RetrieveApprovedMarketRound
     (MarketProposalRound, MARKET_PROPOSAL_ROUND_TIMEOUT): RetrieveApprovedMarketRound
     (MarketProposalRound, NO_MAJORITY): RetrieveApprovedMarketRound
-    (PostTransactionRound, ANSWER_QUESTION_DONE): GetPendingQuestionsRound
+    (PostTransactionRound, ANSWER_QUESTION_DONE): CollectRandomnessRound
     (PostTransactionRound, DEPOSIT_DAI_DONE): GetPendingQuestionsRound
     (PostTransactionRound, DONE): RetrieveApprovedMarketRound
     (PostTransactionRound, ERROR): DepositDaiRound
diff --git a/packages/valory/skills/market_creation_manager_abci/rounds.py b/packages/valory/skills/market_creation_manager_abci/rounds.py
index 15e4cfb..d9435ec 100644
--- a/packages/valory/skills/market_creation_manager_abci/rounds.py
+++ b/packages/valory/skills/market_creation_manager_abci/rounds.py
@@ -934,7 +934,7 @@ class MarketCreationManagerAbciApp(AbciApp[Event]):
             Event.NO_MAJORITY: PostTransactionRound,
             Event.DEPOSIT_DAI_DONE: GetPendingQuestionsRound,
             Event.MECH_REQUEST_DONE: FinishedWithMechRequestRound,
-            Event.ANSWER_QUESTION_DONE: GetPendingQuestionsRound,
+            Event.ANSWER_QUESTION_DONE: CollectRandomnessRound,
             Event.REDEEM_BOND_DONE: CollectProposedMarketsRound,
             Event.REMOVE_FUNDING_DONE: DepositDaiRound,
         },
diff --git a/packages/valory/skills/market_creation_manager_abci/skill.yaml b/packages/valory/skills/market_creation_manager_abci/skill.yaml
index 9b9ca6d..ecf9466 100644
--- a/packages/valory/skills/market_creation_manager_abci/skill.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/skill.yaml
@@ -12,11 +12,11 @@ fingerprint:
   __init__.py: bafybeibkyjt4covc4yhd22aw7kav45zozk3exdv344emt3lilln64soaxm
   behaviours.py: bafybeieq7lwoujmsyevbhv3vwz3d6f3ysj6a2yxq57wf4fmhzpad3vgpjm
   dialogues.py: bafybeicmaufkl7vdomnfciv7lw4536ssld7x4uemdapuhsyvfpd4ncibza
-  fsm_specification.yaml: bafybeicps5t2anm7fv35fwnw7oolaxxmpmjio6mdw4sc6rzpnsolph5xlm
+  fsm_specification.yaml: bafybeiebwzp5jirrwo475r2hzwrirx45jlxtp5duo4275phypqfkueybtq
   handlers.py: bafybeietxjfli2i57kb7heoy772rcq2znusl36gg7jjj5g3pddw7egny3q
   models.py: bafybeib6zsvkkqszeg3zhzuiirkuwxkfzniiyauwaggn7elaw33bnen2lu
   payloads.py: bafybeibu7sptf43adazxpyzwtfpph7bgfhtwiotg5sdlcwjt6iw3idqn7a
-  rounds.py: bafybeie6rgwfulbu5xkuvxgrujbvenioyfggtzlmt23pbm6auzj3w4se44
+  rounds.py: bafybeifnezj3cw323fj5xnieuucfqarznzlpesaj75huylfkpeyuunqkvy
   tests/__init__.py: bafybeihfxvqnyfly72tbxnnnglshcilm2kanihqnjiasvcz3ec3csw32ti
 fingerprint_ignore_patterns: []
 connections:
diff --git a/packages/valory/skills/market_maker_abci/fsm_specification.yaml b/packages/valory/skills/market_maker_abci/fsm_specification.yaml
index 3a63a88..e313eff 100644
--- a/packages/valory/skills/market_maker_abci/fsm_specification.yaml
+++ b/packages/valory/skills/market_maker_abci/fsm_specification.yaml
@@ -137,7 +137,7 @@ transition_func:
     (MechResponseRound, DONE): AnswerQuestionsRound
     (MechResponseRound, NO_MAJORITY): MechResponseRound
     (MechResponseRound, ROUND_TIMEOUT): CollectRandomnessRound
-    (PostTransactionRound, ANSWER_QUESTION_DONE): GetPendingQuestionsRound
+    (PostTransactionRound, ANSWER_QUESTION_DONE): CollectRandomnessRound
     (PostTransactionRound, DEPOSIT_DAI_DONE): GetPendingQuestionsRound
     (PostTransactionRound, DONE): RetrieveApprovedMarketRound
     (PostTransactionRound, ERROR): DepositDaiRound
diff --git a/packages/valory/skills/market_maker_abci/skill.yaml b/packages/valory/skills/market_maker_abci/skill.yaml
index a749da4..d08a836 100644
--- a/packages/valory/skills/market_maker_abci/skill.yaml
+++ b/packages/valory/skills/market_maker_abci/skill.yaml
@@ -12,7 +12,7 @@ fingerprint:
   behaviours.py: bafybeidajmnltkvswbtn6zay3lxcx5pp2k4ys5jnmjdgutada6hkmay5tu
   composition.py: bafybeibags3bapzxlvsbjsxhlyxpd6ypnvwggu6jijktm4qfe4sn5ugfky
   dialogues.py: bafybeicintyylxt4nd5gcufh3rehbxr5jvdn6un7wvaoel7hvj3dmurlpy
-  fsm_specification.yaml: bafybeia3xga3f3kjawfl5v5ck3ymg5n5mpxbxszpsbpuvxkrbqvn6ifnka
+  fsm_specification.yaml: bafybeicsotlxzvvpw2jk7assimkvrsgtogfvlirkmpg2rxqseg3j6qqbem
   handlers.py: bafybeidlgouig5odju36dkjl5vdqx6mqrukaoyn2chnl5dv2ca6owqlecm
   models.py: bafybeigyrb6tcpebn7gecgnkcerqmbembat4xdg2wvfybwg6op3rsee2sq
   tests/__init__.py: bafybeig7noiiz2y2b2scjeaalby56ft24eqj4o433blm2oze2pu3lljp44
@@ -24,7 +24,7 @@ skills:
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
-- valory/market_creation_manager_abci:0.1.0:bafybeigxyy2mr2skgkthqu5qmtkrhid7dwgdn4hylhpkoeex3g6zfgua3m
+- valory/market_creation_manager_abci:0.1.0:bafybeibuw4lootgmocuktlkojapcpcqjx6naj35jbtyoyzogx2vrfyczhe
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
 - valory/mech_interact_abci:0.1.0:bafybeieryw7rk2tspyxx46loqqqimr2l5vvhtshiyg2mmdxijzb7pdoi6a

From a71b6d046137611fef8c4989ea5e459bf69dadba Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Fri, 30 Aug 2024 19:04:17 +0200
Subject: [PATCH 09/36] chore: configure market resolving tool

---
 packages/packages.json                                    | 8 ++++----
 packages/valory/agents/market_maker/aea-config.yaml       | 5 +++--
 packages/valory/services/market_maker/service.yaml        | 3 ++-
 .../skills/market_creation_manager_abci/behaviours.py     | 2 +-
 .../valory/skills/market_creation_manager_abci/models.py  | 5 +++++
 .../valory/skills/market_creation_manager_abci/skill.yaml | 5 +++--
 packages/valory/skills/market_maker_abci/skill.yaml       | 3 ++-
 7 files changed, 20 insertions(+), 11 deletions(-)

diff --git a/packages/packages.json b/packages/packages.json
index 03005e8..b1603fa 100644
--- a/packages/packages.json
+++ b/packages/packages.json
@@ -3,10 +3,10 @@
         "contract/valory/fpmm_deterministic_factory/0.1.0": "bafybeigjfuahxhb2y4q5ueayry55boaojcryoamwr6fshgayf5s762vpl4",
         "contract/valory/wxdai/0.1.0": "bafybeidalocwbhmbto6ii6adldtpcughtdt6j3v4tv36utevjk2wrdyqie",
         "contract/valory/fpmm/0.1.0": "bafybeiai2ruj27nnglvn7yc5atojyojo3fkmofw6wrjgz2ybps2uwdizx4",
-        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeibuw4lootgmocuktlkojapcpcqjx6naj35jbtyoyzogx2vrfyczhe",
-        "skill/valory/market_maker_abci/0.1.0": "bafybeigr7anwsma3ezjcksmgc6voc3nnnogm3uje2urfw2wohzdcy6eg44",
-        "agent/valory/market_maker/0.1.0": "bafybeibukrahyir5ig6a32tpg3zjpqmmowjauk4arnhwmhjjzezeqotmve",
-        "service/valory/market_maker/0.1.0": "bafybeihbrgma2fuhgadkz7jzhggnduywv4ihozqjxdeulqx7t3pkcuvhe4"
+        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeigopmjddoomz57pkeafpjvssvvbemgtl6zitjvvjgj2y2dbyazf5e",
+        "skill/valory/market_maker_abci/0.1.0": "bafybeih7cs656swz6l33cdw43njf5dqro3lu2rbkr362jtkw3ixahll2ya",
+        "agent/valory/market_maker/0.1.0": "bafybeih4jazyeuw7w3npc36eujvkrdc4yk5yt33iep2jhj6rjzmpgyjj6e",
+        "service/valory/market_maker/0.1.0": "bafybeie3ibdzqzpiycrrbc6g6gx2hkhz57cb3tc2gz5toh7qovaotcektm"
     },
     "third_party": {
         "protocol/valory/contract_api/1.0.0": "bafybeidgu7o5llh26xp3u3ebq3yluull5lupiyeu6iooi2xyymdrgnzq5i",
diff --git a/packages/valory/agents/market_maker/aea-config.yaml b/packages/valory/agents/market_maker/aea-config.yaml
index 03f089d..5ac3d12 100644
--- a/packages/valory/agents/market_maker/aea-config.yaml
+++ b/packages/valory/agents/market_maker/aea-config.yaml
@@ -37,9 +37,9 @@ protocols:
 skills:
 - valory/abstract_abci:0.1.0:bafybeieh4ei3qdelmacnm7vwq57phoewgumr3udvxt6pybmuggwc3yk65q
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
-- valory/market_maker_abci:0.1.0:bafybeigr7anwsma3ezjcksmgc6voc3nnnogm3uje2urfw2wohzdcy6eg44
+- valory/market_maker_abci:0.1.0:bafybeih7cs656swz6l33cdw43njf5dqro3lu2rbkr362jtkw3ixahll2ya
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
-- valory/market_creation_manager_abci:0.1.0:bafybeibuw4lootgmocuktlkojapcpcqjx6naj35jbtyoyzogx2vrfyczhe
+- valory/market_creation_manager_abci:0.1.0:bafybeigopmjddoomz57pkeafpjvssvvbemgtl6zitjvvjgj2y2dbyazf5e
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
@@ -218,6 +218,7 @@ models:
       google_engine_id: ${str:google_engine_id}
       openai_api_key: ${str:openai_api_key}
       mech_contract_address: ${str:0x77af31de935740567cf4ff1986d04b2c964a786a}
+      mech_tool_resolve_market: ${str:resolve-market-reasoning-gpt-4}
       answer_retry_intervals: ${list:[0, 86400, 259200, 604800, 1209600]}
   randomness_api:
     args:
diff --git a/packages/valory/services/market_maker/service.yaml b/packages/valory/services/market_maker/service.yaml
index 15ab2db..6ec104f 100644
--- a/packages/valory/services/market_maker/service.yaml
+++ b/packages/valory/services/market_maker/service.yaml
@@ -7,7 +7,7 @@ license: Apache-2.0
 fingerprint:
   README.md: bafybeibwz3af6326msp4h3kqehijvmyhaytvyfbo3o2npc2w4b6zrg6pfq
 fingerprint_ignore_patterns: []
-agent: valory/market_maker:0.1.0:bafybeibukrahyir5ig6a32tpg3zjpqmmowjauk4arnhwmhjjzezeqotmve
+agent: valory/market_maker:0.1.0:bafybeih4jazyeuw7w3npc36eujvkrdc4yk5yt33iep2jhj6rjzmpgyjj6e
 number_of_agents: 1
 deployment:
   agent:
@@ -70,6 +70,7 @@ models:
       multisend_batch_size: ${MULTISEND_BATCH_SIZE:int:1}
       ipfs_address: ${IPFS_ADDRESS:str:https://gateway.autonolas.tech/ipfs/}
       mech_contract_address: ${MECH_CONTRACT_ADDRESS:str:0x77af31de935740567cf4ff1986d04b2c964a786a}
+      mech_tool_resolve_market: ${MECH_TOOL_RESOLVE_MARKET:str:resolve-market-reasoning-gpt-4}
       answer_retry_intervals: ${ANSWER_RETRY_INTERVALS:list:[0, 86400, 259200, 604800,
         1209600]}
       on_chain_service_id: ${ON_CHAIN_SERVICE_ID:int:null}
diff --git a/packages/valory/skills/market_creation_manager_abci/behaviours.py b/packages/valory/skills/market_creation_manager_abci/behaviours.py
index 7ca96ad..3347280 100644
--- a/packages/valory/skills/market_creation_manager_abci/behaviours.py
+++ b/packages/valory/skills/market_creation_manager_abci/behaviours.py
@@ -2398,7 +2398,7 @@ def get_payload(self) -> Generator[None, None, str]:
                 asdict(
                     MechMetadata(
                         nonce=question_id,
-                        tool="resolve-market-reasoning-gpt-4",
+                        tool=self.params.mech_tool_resolve_market,
                         prompt=question["title"],
                     )
                 )
diff --git a/packages/valory/skills/market_creation_manager_abci/models.py b/packages/valory/skills/market_creation_manager_abci/models.py
index f7e3acb..e21e606 100644
--- a/packages/valory/skills/market_creation_manager_abci/models.py
+++ b/packages/valory/skills/market_creation_manager_abci/models.py
@@ -136,6 +136,11 @@ def __init__(self, *args: Any, **kwargs: Any) -> None:
             kwargs=kwargs,
             type_=str,
         )
+        self.mech_tool_resolve_market = self._ensure(
+            key="mech_tool_resolve_market",
+            kwargs=kwargs,
+            type_=str,
+        )
         self.market_fee = self._ensure("market_fee", kwargs, type_=float)
         self.market_timeout = self._ensure("market_timeout", kwargs, type_=int)
         self.event_offset_start_days = self._ensure(
diff --git a/packages/valory/skills/market_creation_manager_abci/skill.yaml b/packages/valory/skills/market_creation_manager_abci/skill.yaml
index ecf9466..62687fc 100644
--- a/packages/valory/skills/market_creation_manager_abci/skill.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/skill.yaml
@@ -10,11 +10,11 @@ aea_version: '>=1.0.0, <2.0.0'
 fingerprint:
   .gitignore: bafybeihdfdezgtr3s2lzq5y3oaitfrdy4u4pehionju2bdez35wcjgqx6y
   __init__.py: bafybeibkyjt4covc4yhd22aw7kav45zozk3exdv344emt3lilln64soaxm
-  behaviours.py: bafybeieq7lwoujmsyevbhv3vwz3d6f3ysj6a2yxq57wf4fmhzpad3vgpjm
+  behaviours.py: bafybeibaeqww3qnhiqck3pi7t276azxv7jt4tzscex25onaoobtrakqnoi
   dialogues.py: bafybeicmaufkl7vdomnfciv7lw4536ssld7x4uemdapuhsyvfpd4ncibza
   fsm_specification.yaml: bafybeiebwzp5jirrwo475r2hzwrirx45jlxtp5duo4275phypqfkueybtq
   handlers.py: bafybeietxjfli2i57kb7heoy772rcq2znusl36gg7jjj5g3pddw7egny3q
-  models.py: bafybeib6zsvkkqszeg3zhzuiirkuwxkfzniiyauwaggn7elaw33bnen2lu
+  models.py: bafybeic2w6gyk3hhn4ksea3nte4c6mron6f2zojxjgo6u5kyvkfnx2g6ie
   payloads.py: bafybeibu7sptf43adazxpyzwtfpph7bgfhtwiotg5sdlcwjt6iw3idqn7a
   rounds.py: bafybeifnezj3cw323fj5xnieuucfqarznzlpesaj75huylfkpeyuunqkvy
   tests/__init__.py: bafybeihfxvqnyfly72tbxnnnglshcilm2kanihqnjiasvcz3ec3csw32ti
@@ -217,6 +217,7 @@ models:
       light_slash_unit_amount: 5000000000000000
       serious_slash_unit_amount: 8000000000000000
       mech_contract_address: '0x77af31de935740567cf4ff1986d04b2c964a786a'
+      mech_tool_resolve_market: resolve-market-reasoning-gpt-4
       answer_retry_intervals:
       - 0
       - 86400
diff --git a/packages/valory/skills/market_maker_abci/skill.yaml b/packages/valory/skills/market_maker_abci/skill.yaml
index d08a836..5c36a20 100644
--- a/packages/valory/skills/market_maker_abci/skill.yaml
+++ b/packages/valory/skills/market_maker_abci/skill.yaml
@@ -24,7 +24,7 @@ skills:
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
-- valory/market_creation_manager_abci:0.1.0:bafybeibuw4lootgmocuktlkojapcpcqjx6naj35jbtyoyzogx2vrfyczhe
+- valory/market_creation_manager_abci:0.1.0:bafybeigopmjddoomz57pkeafpjvssvvbemgtl6zitjvvjgj2y2dbyazf5e
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
 - valory/mech_interact_abci:0.1.0:bafybeieryw7rk2tspyxx46loqqqimr2l5vvhtshiyg2mmdxijzb7pdoi6a
@@ -213,6 +213,7 @@ models:
       light_slash_unit_amount: 5000000000000000
       serious_slash_unit_amount: 8000000000000000
       mech_contract_address: '0x77af31de935740567cf4ff1986d04b2c964a786a'
+      mech_tool_resolve_market: resolve-market-reasoning-gpt-4
       answer_retry_intervals:
       - 0
       - 86400

From a26f4079517ab2d71d0c3442a480d005e3bc3c04 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Sat, 7 Sep 2024 12:44:56 +0200
Subject: [PATCH 10/36] chore: remove outputs

---
 scripts/list_finalizing_markets.ipynb | 1353 +------------------------
 1 file changed, 10 insertions(+), 1343 deletions(-)

diff --git a/scripts/list_finalizing_markets.ipynb b/scripts/list_finalizing_markets.ipynb
index 5158e60..8122023 100644
--- a/scripts/list_finalizing_markets.ipynb
+++ b/scripts/list_finalizing_markets.ipynb
@@ -60,296 +60,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "          Fetching requests...\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "            Fetching responses: 100%|██████████| 4355/4355 [00:44<00:00, 97.54it/s] \n",
-      "    Finding duplicate delivers: 100%|██████████| 4355/4355 [00:00<00:00, 1716263.64it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Duplicate deliver ids found: 51\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      " Processing duplicate delivers: 100%|██████████| 51/51 [00:00<00:00, 146013.31it/s]\n",
-      "    Finding duplicate delivers: 100%|██████████| 4355/4355 [00:00<00:00, 1448778.07it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Duplicate deliver ids found: 0\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "        Fetching IPFS contents: 100%|██████████| 4355/4355 [00:00<00:00, 1916503.40it/s]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "mech_requests = get_mech_requests(MARKET_CREATOR_ADDRESS)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "DescribeResult(nobs=4265, minmax=(0, 42851), mean=116.70128956623681, variance=1158184.679512877, skewness=30.388762004821004, kurtosis=1157.281918140288)\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
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-     "metadata": {},
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-    {
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Request ID</th>\n",
-       "      <th>Prompt</th>\n",
-       "      <th>Block Timestamp (UTC)</th>\n",
-       "      <th>Result</th>\n",
-       "      <th>Deliver Block Timestamp (UTC)</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>16856201152864453090972376929947899316202069964245312806256121123913819307377</td>\n",
-       "      <td>Will Intel deploy its Lunar Lake CPU's secret weapon for laptop gamers on 15 July 2024?</td>\n",
-       "      <td>2024-07-19 03:18:40</td>\n",
-       "      <td>{\"has_occurred\":false}</td>\n",
-       "      <td>2024-07-19 03:22:40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>77609304565511391607447053797244979275419063575166756130981113191240982249433</td>\n",
-       "      <td>Will the NATO agency complete the $700 mln order for Stinger anti-aircraft missiles by 18 July 2024?</td>\n",
-       "      <td>2024-07-19 03:06:35</td>\n",
-       "      <td>{\"is_determinable\":false}</td>\n",
-       "      <td>2024-07-19 03:08:20</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2277441146538084894654386060135379586622376710119227127443657409069419368824</td>\n",
-       "      <td>Will the Samsung Galaxy Buds 3 be released on or before 16 July 2024?</td>\n",
-       "      <td>2024-07-19 03:02:30</td>\n",
-       "      <td>{\"has_occurred\":true}</td>\n",
-       "      <td>2024-07-19 03:04:20</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>82607858776209826195619743952658815809645098796432896522873786203066754384660</td>\n",
-       "      <td>Will the U.S. expand control of land sales to foreigners near 56 additional military sites by 17 July 2024?</td>\n",
-       "      <td>2024-07-19 02:58:25</td>\n",
-       "      <td>{\"has_occurred\":false}</td>\n",
-       "      <td>2024-07-19 03:01:35</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>55109571341772384831423643502411221391858129785792207020549459167682437442232</td>\n",
-       "      <td>Will Jeffrey Steele release a new song on 16 July 2024?</td>\n",
-       "      <td>2024-07-19 02:53:50</td>\n",
-       "      <td>{\"is_determinable\":false}</td>\n",
-       "      <td>2024-07-19 02:54:50</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>5150360684272699419974768473099003466475794615127936902623689557358540931503</td>\n",
-       "      <td>Will Marine Le Pen be found guilty of alleged campaign finance violations by 17 July 2024?</td>\n",
-       "      <td>2024-07-19 01:29:50</td>\n",
-       "      <td>{\"is_determinable\":false}</td>\n",
-       "      <td>2024-07-19 01:31:15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>80562453850391917239069186445068002161574446438175022925094411263239259413458</td>\n",
-       "      <td>Will the West experience another heatwave resulting in multiple temperature records being broken on 18 July 2024?</td>\n",
-       "      <td>2024-07-19 01:18:45</td>\n",
-       "      <td>{\"is_determinable\":false}</td>\n",
-       "      <td>2024-07-19 01:21:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>93115452659776668252361935478375909510311655334527174153905385492153643571019</td>\n",
-       "      <td>Will Amber Rose speak at the Republican National Convention on 17 July 2024?</td>\n",
-       "      <td>2024-07-19 01:15:35</td>\n",
-       "      <td>{\"has_occurred\":true}</td>\n",
-       "      <td>2024-07-19 01:17:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>48660049050833315360265013412927557238057979661390387184252506050487211764022</td>\n",
-       "      <td>Will OpenAI and Arianna Huffington successfully launch their AI health coach by 18th July 2024?</td>\n",
-       "      <td>2024-07-19 00:18:15</td>\n",
-       "      <td>{\"has_occurred\":true}</td>\n",
-       "      <td>2024-07-19 00:20:45</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>87723699743974983101408434549807887490341171432081925457829670984854169089092</td>\n",
-       "      <td>Will SpaceX's Falcon 9 rocket be back in operation on 18 July 2024?</td>\n",
-       "      <td>2024-07-19 00:14:55</td>\n",
-       "      <td>{\"has_occurred\":false}</td>\n",
-       "      <td>2024-07-19 00:16:30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>18242478102062584753020465567586909478402736740021870858700145082048453628308</td>\n",
-       "      <td>Will Canada meet NATO's 2% spending target by 18 July 2024?</td>\n",
-       "      <td>2024-07-19 00:11:45</td>\n",
-       "      <td>{\"has_occurred\":false}</td>\n",
-       "      <td>2024-07-19 00:14:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>101105410747395709812482439243420530514061705901387130807709849543973109808665</td>\n",
-       "      <td>Will the AI-focused COPIED Act, making removing digital watermarks illegal, be passed?</td>\n",
-       "      <td>2024-07-19 00:07:35</td>\n",
-       "      <td>{\"has_occurred\":false}</td>\n",
-       "      <td>2024-07-19 00:09:10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>12993883142424743793507969934486923192977932010657314493950310696775412148109</td>\n",
-       "      <td>Will China's Communist Party hold the key third plenum on 15-18 July 2024 as announced?</td>\n",
-       "      <td>2024-07-19 00:04:25</td>\n",
-       "      <td>{\"has_occurred\":true}</td>\n",
-       "      <td>2024-07-19 00:06:20</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>17334810869679290537057026616708249168251915611932015740480771835973694880358</td>\n",
-       "      <td>Will the wildfire near Yosemite be contained by 14 July 2024?</td>\n",
-       "      <td>2024-07-18 02:12:30</td>\n",
-       "      <td>{\"has_occurred\":false}</td>\n",
-       "      <td>2024-07-18 02:14:10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>64704948724493940182722558020957217330238798958690431026914536268661212064739</td>\n",
-       "      <td>Will there be a ceasefire in Israel on 16 July 2024?</td>\n",
-       "      <td>2024-07-18 02:08:00</td>\n",
-       "      <td>{\"has_occurred\":false}</td>\n",
-       "      <td>2024-07-18 02:09:10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>75661298133141519407134612821611752065342010989107475126896447368343896677572</td>\n",
-       "      <td>Will Novak Djokovic win the Wimbledon 2024?</td>\n",
-       "      <td>2024-07-18 02:04:15</td>\n",
-       "      <td>{\"has_occurred\":false}</td>\n",
-       "      <td>2024-07-18 02:05:45</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>33422998470917887714646932588745712559232379476825261412719161796775828841301</td>\n",
-       "      <td>Will OnePlus unveil four new products at the Summer Launch Event on July 16, 2024?</td>\n",
-       "      <td>2024-07-18 02:01:40</td>\n",
-       "      <td>{\"has_occurred\":true}</td>\n",
-       "      <td>2024-07-18 02:03:20</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>26542362420490371866894977794498548003090463910577584523820772714543497000732</td>\n",
-       "      <td>Will Windows 11's 24H2 update fix the existing bugs on 15 July 2024?</td>\n",
-       "      <td>2024-07-18 01:07:20</td>\n",
-       "      <td>{\"is_determinable\":false}</td>\n",
-       "      <td>2024-07-18 01:08:25</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>2277441146538084894654386060135379586622376710119227127443657409069419368824</td>\n",
-       "      <td>Will the Samsung Galaxy Buds 3 be released on or before 16 July 2024?</td>\n",
-       "      <td>2024-07-18 00:57:25</td>\n",
-       "      <td>{\"is_determinable\":false}</td>\n",
-       "      <td>2024-07-18 00:58:45</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>96709122786616208185331179031229224998187547433230798552822245345272194688700</td>\n",
-       "      <td>Will Tesla reveal its robotaxi on or by 17 July 2024?</td>\n",
-       "      <td>2024-07-18 00:54:10</td>\n",
-       "      <td>{\"has_occurred\":false}</td>\n",
-       "      <td>2024-07-18 00:56:25</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>"
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-      "text/plain": [
-       "<Figure size 1200x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "class MechDeliverState(Enum):\n",
     "    \"\"\"Market state\"\"\"\n",
@@ -712,17 +434,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "def _populate_with_mech_requests(data: Dict[str, Any], mech_requests: Dict[str, Any]) -> None:\n",
     "    \"\"\"Populates the markets by appending an array of the associated mech requests\"\"\"\n",
@@ -845,988 +559,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "Mech requests per state:\n",
-      "State\n",
-      "Unknown          0\n",
-      "Closed        4314\n",
-      "Open             0\n",
-      "Pending         26\n",
-      "Finalizing      15\n",
-      "Name: Num. mech requests, dtype: int64\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_541870/335892069.py:64: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
-      "  print(df.groupby('State')['Num. mech requests'].sum())\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Filtering [<MarketState.OPEN: 1>] markets\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<table border=\"1\" class=\"dataframe sortable\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Title</th>\n",
-       "      <th>Volume (xDAI):</th>\n",
-       "      <th>Current answer</th>\n",
-       "      <th>Num answers</th>\n",
-       "      <th>State</th>\n",
-       "      <th>Remaining time to challenge (hh:mm)</th>\n",
-       "      <th>Creation (UTC)</th>\n",
-       "      <th>Opening (UTC)</th>\n",
-       "      <th>Answer finalized (UTC)</th>\n",
-       "      <th>Resolution (UTC)</th>\n",
-       "      <th>Num. mech requests</th>\n",
-       "      <th>Mech delivers</th>\n",
-       "      <th>Deliver delay</th>\n",
-       "      <th>Mech deliver state</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xbfa584b29891941c8950ce975c1f7fa595ce1b99\" target=\"_blank\">Will TSMC start 4-nanometer chip production in its Phoenix, Arizona factory by the end of 2025?</a></td>\n",
-       "      <td>81.64</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2023-07-25T16:07:25</td>\n",
-       "      <td>2026-01-01T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xe7ed8a5f2f0f17f7d584ae8ddd0592d1ac67791f\" target=\"_blank\">Will Twitter implement a new misinformation policy before the 2024 elections?</a></td>\n",
-       "      <td>59.91</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2023-07-25T21:53:00</td>\n",
-       "      <td>2024-11-01T23:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4158</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x731c8656df3f87af35ff9e1eb1fc462cf1b9a0b3\" target=\"_blank\">Will a successor for the sacked USA soccer coach Gregg Berhalter be announced on or before 19 July 2024?</a></td>\n",
-       "      <td>34.99</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-15T00:04:35</td>\n",
-       "      <td>2024-07-20T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4159</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x75478a66a34dfa90650b3743d45e2e61b94c356b\" target=\"_blank\">Will the California Lake Fire be fully contained by 19 July 2024?</a></td>\n",
-       "      <td>13.99</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-15T00:17:40</td>\n",
-       "      <td>2024-07-20T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4160</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x6ec34deb05fc3d67113fa146736409e3afd91dc9\" target=\"_blank\">Will Billy Joel announce a new concert series by 19 July 2024?</a></td>\n",
-       "      <td>36.24</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-15T00:29:40</td>\n",
-       "      <td>2024-07-20T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4161</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xc972aff0588d5df8f3854003a4ea200fa29faf97\" target=\"_blank\">Will Idaho's Safe Haven Baby Box initiative result in a decrease in infant abandonment by 19 July 2024?</a></td>\n",
-       "      <td>3.35</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-15T00:47:15</td>\n",
-       "      <td>2024-07-20T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4162</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xaa233a02388b44aecc5b981e6ed6126fba4f1188\" target=\"_blank\">Will 'Shrek 5' officially start production by 19 July 2024?</a></td>\n",
-       "      <td>26.60</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-15T01:09:25</td>\n",
-       "      <td>2024-07-20T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4163</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x6ed59d1850812ebb80c8de7539c3cdb9681c754d\" target=\"_blank\">Will Apple release a new Mac model by 19 July 2024?</a></td>\n",
-       "      <td>45.71</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-15T03:09:55</td>\n",
-       "      <td>2024-07-20T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4164</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x90beb8dfc54cce792930a344afe0741915dcbfcf\" target=\"_blank\">Will the wedding of Mukesh Ambani's youngest son take place on 19 July 2024?</a></td>\n",
-       "      <td>14.18</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-15T03:27:20</td>\n",
-       "      <td>2024-07-20T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4165</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x429881bd0965962504fd0d6f6982e535a7edeedb\" target=\"_blank\">Will the number of Dengue cases in New York and New Jersey reach 200 by 19 July 2024?</a></td>\n",
-       "      <td>57.58</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-15T04:04:30</td>\n",
-       "      <td>2024-07-20T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4166</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x2e54da8af863c9dae4d78fa388a6e843669abc32\" target=\"_blank\">Will the voice box transplant procedure become a common practice for larynx cancer patients by 19 July 2024?</a></td>\n",
-       "      <td>13.74</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-15T04:15:25</td>\n",
-       "      <td>2024-07-20T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4167</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xf243c47f0b49509c8984b326a229373199ecf9de\" target=\"_blank\">Will the car that ran off the road into a hot geyser in Yellowstone result in any fatalities by 19th July 2024?</a></td>\n",
-       "      <td>15.30</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-15T04:26:20</td>\n",
-       "      <td>2024-07-20T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4168</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xfc81b34756848e5050a8e3929ce93038a0b8e1c4\" target=\"_blank\">Will Hakeem Jeffries implement any significant change in policy after his meeting with Joe Biden on 20 July 2024?</a></td>\n",
-       "      <td>19.64</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-16T00:40:30</td>\n",
-       "      <td>2024-07-21T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4169</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x353222fa3d9aaef55459831d0e3c1d896b7e9fbc\" target=\"_blank\">Will the US deploy long-range missiles in Germany by 20 July 2024?</a></td>\n",
-       "      <td>31.30</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-16T01:15:00</td>\n",
-       "      <td>2024-07-21T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4170</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x31f62b0952cbb9ab877f2a0acd9ac71ce5161d4a\" target=\"_blank\">Will China and Russia continue their joint naval drills on or beyond 20 July 2024?</a></td>\n",
-       "      <td>9.08</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-16T01:31:15</td>\n",
-       "      <td>2024-07-21T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4171</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x1499581e31b3d65ede909ebe170692d174736f0c\" target=\"_blank\">Will Beyonce's 'Cowboy Carter' album remain in the top 10 on Billboard charts on 20 July 2024?</a></td>\n",
-       "      <td>20.45</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-16T02:14:15</td>\n",
-       "      <td>2024-07-21T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4172</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xb71d2c3dc67477653c1096233ec844c4342c16a6\" target=\"_blank\">Will Trump push the courts further right by 20 July 2024?</a></td>\n",
-       "      <td>19.08</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-16T04:51:40</td>\n",
-       "      <td>2024-07-21T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4173</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xa13a491a932a4f0a32c1757c50416112a57fa597\" target=\"_blank\">Will Manchester United's new striker Joshua Zirkzee score a goal in his first match by 20 July 2024?</a></td>\n",
-       "      <td>10.92</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-16T05:02:40</td>\n",
-       "      <td>2024-07-21T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4174</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x4b2e8c5c6e305f9a6d66aa308ec483d4e83be97b\" target=\"_blank\">Will Samsung release its new Android XR headset by July 20, 2024?</a></td>\n",
-       "      <td>18.18</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-16T05:13:35</td>\n",
-       "      <td>2024-07-21T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4175</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x6c967e4cb553ad0980adc30baa4f6f0349a73bca\" target=\"_blank\">Will England win the Euro 2024 final against Spain?</a></td>\n",
-       "      <td>9.31</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-16T05:24:25</td>\n",
-       "      <td>2024-07-21T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4176</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x76ecd22b5c1f0e0f9429635e3a4b07e5d514a3bd\" target=\"_blank\">Will Zelensky hold talks with Russia before the U.S. presidential election on 20 July 2024?</a></td>\n",
-       "      <td>6.86</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-16T05:35:20</td>\n",
-       "      <td>2024-07-21T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4177</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xf7b1ed0a408f740edd80a10e4ef8b65558e93300\" target=\"_blank\">Will Ukraine become a member of NATO by 20 July 2024?</a></td>\n",
-       "      <td>8.89</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-16T05:46:15</td>\n",
-       "      <td>2024-07-21T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4178</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x73d2b168801a2e49594f34d47cc64f34a1a0eb10\" target=\"_blank\">Will Bitcoin maintain a value of $60,000 or higher on 21 July 2024?</a></td>\n",
-       "      <td>4.86</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-17T00:07:20</td>\n",
-       "      <td>2024-07-22T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4179</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x7e9ed558dd76d28907e599c567c399cf1de0f1d8\" target=\"_blank\">Will the California wildfire in Santa Barbara County be fully contained by July 21, 2024?</a></td>\n",
-       "      <td>15.73</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-17T00:47:05</td>\n",
-       "      <td>2024-07-22T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4180</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x0c373e1382e7d4e20b877b182624e0aaf184587e\" target=\"_blank\">Will OpenAI announce a new AI system by 21 July 2024?</a></td>\n",
-       "      <td>12.41</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-17T01:11:10</td>\n",
-       "      <td>2024-07-22T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4181</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x8ef614511a8818fed671a809ba7e9089cff667be\" target=\"_blank\">Will Spain be declared the winner of Euro 2024 on 21 July 2024?</a></td>\n",
-       "      <td>16.22</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-17T02:54:25</td>\n",
-       "      <td>2024-07-22T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4182</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x8568982193a68770aa095cee945237ebfc0bc504\" target=\"_blank\">Will Rudy Giuliani's $148 million defamation loss be fully collected by 21 July 2024?</a></td>\n",
-       "      <td>8.74</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-17T04:04:55</td>\n",
-       "      <td>2024-07-22T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4183</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x442e0a3fd736a9164ef379ef9abf4072dee6bfb0\" target=\"_blank\">Will the Olympic flame remain in Paris until 21 July 2024?</a></td>\n",
-       "      <td>10.15</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-17T04:15:45</td>\n",
-       "      <td>2024-07-22T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4184</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xd0ce3f052c7f29aedbeea747e8aa244548f4c440\" target=\"_blank\">Will the cause of the massive fish die-off in a California lake be determined by 21 July 2024?</a></td>\n",
-       "      <td>12.70</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-17T04:52:05</td>\n",
-       "      <td>2024-07-22T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4185</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x1feca341dbc9bf91b21817d31abe8ab685ef9ee2\" target=\"_blank\">Will Goldman Sachs' second quarter profits increase by more than 150% by 21 July 2024?</a></td>\n",
-       "      <td>32.70</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-17T05:03:00</td>\n",
-       "      <td>2024-07-22T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4186</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x47a8e83960c012904051a1a75aee52b7221f0447\" target=\"_blank\">Will Paul Kagame win his fourth term as president of Rwanda on 21 July 2024?</a></td>\n",
-       "      <td>9.28</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-17T05:13:55</td>\n",
-       "      <td>2024-07-22T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4187</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x15b0b876cf8ab75820caf5b12ac6c887435cf693\" target=\"_blank\">Will Samsung's Galaxy Watch 7 and Watch Ultra regain the missing feature on or by 21 July 2024?</a></td>\n",
-       "      <td>8.79</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-17T05:50:25</td>\n",
-       "      <td>2024-07-22T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4188</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x3b3e67dbc936c01b86eb38ac975fabc1dee1626e\" target=\"_blank\">Will Macy's finalize a buyout deal with Arkhouse and Brigade on 22 July 2024?</a></td>\n",
-       "      <td>9.64</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-18T00:18:05</td>\n",
-       "      <td>2024-07-23T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4189</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x9a1ee500ef0af651b2cf3a28266e9929c5ed577a\" target=\"_blank\">Will the public beta for iOS 18 be installed by a majority of iPhone users by 22 July 2024?</a></td>\n",
-       "      <td>13.54</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-18T00:39:45</td>\n",
-       "      <td>2024-07-23T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4190</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x31e3a5f356e481f75f64f93bb242a66e836eb50d\" target=\"_blank\">Will there be a second peace summit in November 2024?</a></td>\n",
-       "      <td>4.21</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-18T01:00:55</td>\n",
-       "      <td>2024-07-23T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4191</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x41b636ad23aae3a916e580afb85c994098a19ff0\" target=\"_blank\">Will England have a new football manager by 22 July 2024?</a></td>\n",
-       "      <td>13.44</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-18T02:15:40</td>\n",
-       "      <td>2024-07-23T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4192</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x0142e630731a0355019511cb8214054129828a93\" target=\"_blank\">Will Joe Biden be reelected as President in 2024?</a></td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-18T02:29:40</td>\n",
-       "      <td>2024-07-23T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4193</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xc0783b3ed7db4b8a13e1be88e940c1dab08fa1c6\" target=\"_blank\">Will Amazon's annual Prime Day sale extend beyond 22 July 2024?</a></td>\n",
-       "      <td>9.03</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-18T03:58:20</td>\n",
-       "      <td>2024-07-23T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4194</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x643544c7b0304ed8e487318a30511411d6f4d809\" target=\"_blank\">Will another rare spade-toothed whale wash up on a New Zealand beach on 22 July 2024?</a></td>\n",
-       "      <td>8.90</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-18T04:09:35</td>\n",
-       "      <td>2024-07-23T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4195</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xba27bb609c9f38e95c6365835272ed85975c295a\" target=\"_blank\">Will the Nashville dam be fully repaired by 22 July 2024?</a></td>\n",
-       "      <td>4.05</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-18T09:30:50</td>\n",
-       "      <td>2024-07-23T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4196</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x60fe20b0239c1326774ca4e46faf0374a460f9c5\" target=\"_blank\">Will Matthew McConaughey officially announce his run for political office by 22 July 2024?</a></td>\n",
-       "      <td>3.91</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-18T09:41:55</td>\n",
-       "      <td>2024-07-23T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4197</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x8ceee7982a18807a2377614055a5b94018e5e8ce\" target=\"_blank\">Will Judge Cannon's handling of the Trump case be dismissed on 22 July 2024?</a></td>\n",
-       "      <td>8.38</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-18T09:52:50</td>\n",
-       "      <td>2024-07-23T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4198</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x5f4791fb7889eeefdf671846ec6106a4d30d36ec\" target=\"_blank\">Will Venice extend the entrance fee levy for day-trippers on or by 23 July 2024?</a></td>\n",
-       "      <td>5.98</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-19T01:23:20</td>\n",
-       "      <td>2024-07-24T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4199</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x4282888673eb93203c57347a00334a4e73a22019\" target=\"_blank\">Will President Joe Biden propose major changes to the Supreme Court by 23 July 2024?</a></td>\n",
-       "      <td>4.52</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-19T03:12:15</td>\n",
-       "      <td>2024-07-24T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4200</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xe0aadd573d260e25dcdf21469c6a5ba0570f0afd\" target=\"_blank\">Will Lionel Messi recover from his injury and participate in the 2024 World Cup?</a></td>\n",
-       "      <td>7.40</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-19T03:27:10</td>\n",
-       "      <td>2024-07-24T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4201</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xf6e810e7bd424ddcf8971538bd5b953841cb7d20\" target=\"_blank\">Will there be any new war outbreak in Gaza by 23 July 2024?</a></td>\n",
-       "      <td>2.12</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-19T04:06:30</td>\n",
-       "      <td>2024-07-24T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4202</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x0ffb42bff01e8418064a891758acb1971d226987\" target=\"_blank\">Will Goldman Sachs' profits increase in the third quarter of 2024?</a></td>\n",
-       "      <td>0.76</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-19T04:18:20</td>\n",
-       "      <td>2024-07-24T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4203</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xd41a2458567766f0c0377a728bdfb0548b83f529\" target=\"_blank\">Will the ceasefire talks between Israel and Hamas result in a peace agreement by 23 July 2024?</a></td>\n",
-       "      <td>3.11</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-19T04:29:10</td>\n",
-       "      <td>2024-07-24T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4204</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0xc42149023f60fc57bb7a87ab901cef1ac2de1713\" target=\"_blank\">Will the next England manager be announced on 23 July 2024?</a></td>\n",
-       "      <td>3.48</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-19T04:40:10</td>\n",
-       "      <td>2024-07-24T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4205</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x0f4a1c922f6569c7e09a59632236d971303beea5\" target=\"_blank\">Will the issues with crashing 13th, 14th Gen Intel CPUs be resolved by 23 July 2024?</a></td>\n",
-       "      <td>3.58</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-19T04:51:05</td>\n",
-       "      <td>2024-07-24T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4206</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x3cf9ff5fff8b7e2628eb14abfbb5d4c2b39972b1\" target=\"_blank\">Will the remains found at wastewater station be confirmed as Caleb Harris by 23 July 2024?</a></td>\n",
-       "      <td>2.14</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-19T05:02:00</td>\n",
-       "      <td>2024-07-24T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4207</th>\n",
-       "      <td><a href=\"https://aiomen.eth.limo/#/0x816b128db4936ec1439d133023b806f5b2b14244\" target=\"_blank\">Will Donald Trump win the RNC nomination on 23 July 2024?</a></td>\n",
-       "      <td>5.84</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Open</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-07-19T05:13:00</td>\n",
-       "      <td>2024-07-24T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "def plot_opened_markets(data: Dict[str, Any]) -> None:\n",
@@ -1941,77 +676,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "358\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "- Will there be another attack on Tel Aviv by Hamas by 5 June 2024?\n",
-      "- Will Elon Musk's disputed $58 billion compensation package be approved by institutional investors by 8 June 2024?\n",
-      "- Will Apple TV Plus app be available on Google Pixel 8 Pro or Samsung’s Galaxy Z Fold 5 by 8 June 2024?\n",
-      "- Will Samsung succeed in blocking Oura's smart ring patent claims by 9 June 2024?\n",
-      "- Will Google's adjustments to its AI Overviews significantly improve the search results by 9 June 2024?\n",
-      "- Will Jude Bellingham score a goal in his next match on 10 June 2024?\n",
-      "- Will Meta's v66 update fix the biggest annoyances of Quest 3 by 11 June 2024?\n",
-      "- Will Russian teenager Mirra Andreeva win the French Open 2024?\n",
-      "- Will Australia win the T20 World Cup 2024?\n",
-      "- Will there be a significant drop in the price of iPads on 14 June 2024?\n",
-      "- Will the US economy add more than 272,000 jobs in June 2024?\n",
-      "- Will Apple successfully overtake the leaders in AI technology by 2024?\n",
-      "- Will Lindz McLeod and Z. K. Abraham get engaged by 18 June 2024?\n",
-      "- Will the Philadelphia Phillies win their game on 18 June 2024?\n",
-      "- Will the Ukraine Summit result in a significant diplomatic advancement or agreement on or by 22 June 2024?\n",
-      "- Will the federal bill criminalizing deepfake nudes be passed into law on 28 June 2024?\n",
-      "- Will the term 'flight deck' officially replace 'cockpit' in the Air Line Pilots Association's guidelines on 29 June 2024?\n",
-      "- Will Spotify's new Basic Plan in the United States exceed 1 million subscribers by 29 June 2024?\n",
-      "- Will there be a new Disney Plus movie release on 28 June 2024?\n",
-      "- Will the crisis formed by the Egyptian authorities on 30 June 2024 resolve the issue of the deaths during the annual Muslim pilgrimage to Mecca?\n",
-      "- Will Cameron Young break another PGA Tour record by 1 July 2024?\n",
-      "- Will Noah Lyles win the 100m race at the 2024 Paris Olympics?\n",
-      "- Will the LA Lakers win their first game under the new head coach, JJ Redick, on 1 July 2024?\n",
-      "- Will the Microsoft Surface Laptop 7th Edition be the best-selling laptop on 2 July 2024?\n",
-      "- Will England win their final group match in UEFA Euro 2024 by 2 July 2024?\n",
-      "- Will a significant rise in sea levels occur due to the new Antarctic ice sheet ‘tipping point’ on 2 July 2024?\n",
-      "- Will Donald Trump win Florida's 30 electoral votes in the 2024 election?\n",
-      "- Will US and Vietnam reach an economic agreement on 3 July 2024?\n",
-      "- Will the Toyota and Lexus SUVs recall due to an airbag problem be completed by 3 July 2024?\n",
-      "- Will Phil Foden score a goal in the Euro 2024 finals on 4 July 2024?\n",
-      "- Will a major wildfire occur near Athens by 5 July 2024?\n",
-      "- Will the Detroit Police Department's revised facial recognition policies result in a decrease in wrongful arrests by 6 July 2024?\n",
-      "- Will England win their next match in the Euro 2024 on or by 6 July 2024?\n",
-      "- Will Pro-Ject release a new version of its Configurator by 6 July 2024?\n",
-      "- Will Microsoft's Surface Laptops surpass Apple's MacBooks in performance and repairability by 7 July 2024?\n",
-      "- Will the Supreme Court's ruling on internet speech cases have a significant impact on social media laws in Texas and Florida by 9 July 2024?\n",
-      "- Will Big Green Egg CEO Dan Gertsacov successfully expand the market for grills by 9 July 2024?\n",
-      "- Will the US military send its newest fighter jets to Japan by 11 July 2024?\n",
-      "- Will the southern New Jersey forest fire be completely extinguished by 12 July 2024?\n",
-      "- Will Tadej Pogacar win the Tour de France on 12 July 2024?\n",
-      "- Will George Russell win the British Grand Prix in 2024?\n",
-      "- Will the Esports World Cup in Saudi Arabia conclude successfully on 14 July 2024?\n",
-      "- Will Emma Raducanu win a major tennis tournament by 15 July 2024?\n",
-      "- Will Jeffrey Steele release a new song on 16 July 2024?\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "def plot_closed_markets(data: Dict[str, Any], start_timestamp: int, end_timestamp: int) -> None:\n",
     "    markets = data[\"data\"][\"fixedProductMarketMakers\"]\n",

From 56d426337ee95f898568a7a806684eaa333a42cb Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Sat, 7 Sep 2024 12:48:02 +0200
Subject: [PATCH 11/36] chore: update notebook

---
 scripts/list_finalizing_markets.ipynb | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/scripts/list_finalizing_markets.ipynb b/scripts/list_finalizing_markets.ipynb
index 8122023..238080f 100644
--- a/scripts/list_finalizing_markets.ipynb
+++ b/scripts/list_finalizing_markets.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -258,7 +258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -374,7 +374,7 @@
     "    url = \"\"\n",
     "    if market.get(\"question\"):\n",
     "        question_title = market[\"question\"].get(\"title\", \"\")\n",
-    "        url = f'https://aiomen.eth.limo/#/{market.get(\"id\",\"\")}'\n",
+    "        url = f'https://presagio.pages.dev/markets?id={market.get(\"id\",\"\")}'\n",
     "    return _make_clickable(question_title, url)\n",
     "\n",
     "\n",
@@ -498,13 +498,13 @@
     "        return MechDeliverState.TIMEOUT\n",
     "\n",
     "    result = result.replace(\" \", \"\")\n",
-    "    if result == \"{\\\"is_determinable\\\":false}\":\n",
+    "    if \"is_determinable\\\":false\" in result:\n",
     "        return MechDeliverState.RESP_NOT_DETERMINABLE\n",
-    "    if result == \"{\\\"has_occurred\\\":false}\":\n",
+    "    if \"\\\"has_occurred\\\":false\" in result:\n",
     "        return MechDeliverState.RESP_NO\n",
-    "    if result == \"{\\\"has_occurred\\\":true}\":\n",
+    "    if \"\\\"has_occurred\\\":true\" in result:\n",
     "        return MechDeliverState.RESP_YES\n",
-    "    if result.startswith(\"{\\\"is_valid\\\":false\"):\n",
+    "    if \"\\\"is_valid\\\":false\" in result:\n",
     "        return MechDeliverState.RESP_INVALID_MARKET\n",
     "\n",
     "    return MechDeliverState.UNKNOWN\n",

From ff6e01bcd70d5973decd68ac62f6bcdd86aabec5 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Mon, 16 Sep 2024 09:56:57 +0200
Subject: [PATCH 12/36] chore: improve mech requests script

---
 scripts/mech_request_utils.py | 178 ++++++++++++++++++++++++----------
 1 file changed, 127 insertions(+), 51 deletions(-)

diff --git a/scripts/mech_request_utils.py b/scripts/mech_request_utils.py
index 851a273..d366323 100644
--- a/scripts/mech_request_utils.py
+++ b/scripts/mech_request_utils.py
@@ -21,8 +21,10 @@
 
 import json
 import time
+from datetime import timedelta
 from collections import defaultdict
 from typing import Any, Dict, List
+from concurrent.futures import ThreadPoolExecutor, as_completed
 
 import requests
 from gql import Client, gql
@@ -36,6 +38,7 @@
 MECH_REQUESTS_JSON_PATH = "mech_requests.json"
 IPFS_ADDRESS = "https://gateway.autonolas.tech/ipfs/"
 THEGRAPH_ENDPOINT = "https://api.studio.thegraph.com/query/57238/mech/0.0.2"
+THREAD_POOL_EXECUTOR_MAX_WORKERS = 10
 
 REQUESTS_QUERY = """
 query requests_query($sender: Bytes, $id_gt: Bytes) {
@@ -52,8 +55,8 @@
 """
 
 DELIVERS_QUERY = """
-query delivers_query($requestId: BigInt, $blockNumber_gte: BigInt, $blockNumber_lte: BigInt) {
-  delivers(where: {requestId: $requestId, blockNumber_gte: $blockNumber_gte, blockNumber_lte: $blockNumber_lte}, orderBy: blockNumber, first: 1000) {
+query delivers_query($requestId_in: [BigInt!], $id_gt: Bytes) {
+  delivers(where: {requestId_in: $requestId_in, id_gt: $id_gt}, orderBy: blockNumber, first: 1000) {
     blockNumber
     blockTimestamp
     id
@@ -92,70 +95,113 @@ def _populate_missing_requests(sender: str, mech_requests: Dict[str, Any]) -> No
         _write_mech_events_to_file(mech_requests)
 
     _write_mech_events_to_file(mech_requests, True)
+    print(f"{f'{len(mech_requests)} requests found':>{TEXT_ALIGNMENT}}")
 
 
-def _populate_missing_responses(mech_requests: Dict[str, Any]) -> None:
+def _populate_missing_delivers(mech_requests: Dict[str, Any]) -> None:
     transport = RequestsHTTPTransport(url=THEGRAPH_ENDPOINT)
     client = Client(transport=transport, fetch_schema_from_transport=True)
 
-    for _, mech_request in tqdm(
-        mech_requests.items(),
-        desc=f"{'Fetching responses':>{TEXT_ALIGNMENT}}",
+    NUM_REQUESTS_PER_QUERY = 100
+    pending_mech_requests = {k: req for k, req in mech_requests.items() if "deliver" not in req}
+
+    progress_bar = tqdm(
+        total=len(pending_mech_requests),
+        desc=f"{'Fetching delivers':>{TEXT_ALIGNMENT}}",
         miniters=1,
-    ):
-        if "deliver" in mech_request:
-            continue
+    )
 
-        variables = {
-            "requestId": mech_request["requestId"],
-            "blockNumber_gte": mech_request["blockNumber"],
-            "blockNumber_lte": str(
-                int(mech_request["blockNumber"]) + MECH_FROM_BLOCK_RANGE
-            ),
-        }
-        response = client.execute(gql(DELIVERS_QUERY), variable_values=variables)
-        items = response.get("delivers")
+    while pending_mech_requests:
+
+        picked_requests = list(pending_mech_requests.values())[:NUM_REQUESTS_PER_QUERY]
+
+        for mech_request in picked_requests:
+            del pending_mech_requests[mech_request["id"]]
+
+        requestsId_in = [mech_request['requestId'] for mech_request in picked_requests]
+
+        mech_delivers = []
+        id_gt = "0x00"
+        while True:
+
+            variables = {
+                "requestId_in": requestsId_in,
+                "id_gt": id_gt,
+            }
+            response = client.execute(gql(DELIVERS_QUERY), variable_values=variables)
+            items = response.get("delivers")
+
+            if not items:
+                break
+
+            mech_delivers.extend(items)
+            id_gt = items[-1]["id"]
 
         # If the user sends requests with the same values (tool, prompt, nonce) it
         # will generate the same requestId. Therefore, multiple items can be retrieved
         # at this point. We assume the most likely deliver to this request is the
         # one with the closest blockNumber among all delivers with the same requestId.
-        if items:
-            mech_request["deliver"] = items[0]
-
+        #
+        # In conclusion, for each request in picked_requests, find the deliver with the
+        # smallest blockNumber such that >= request's blockNumber
+        for mech_request in picked_requests:
+            for deliver in mech_delivers:
+                if (
+                    deliver["requestId"] == mech_request["requestId"]
+                    and int(deliver["blockNumber"]) >= int(mech_request["blockNumber"])
+                ):
+                    mech_request["deliver"] = deliver
+                    break
+
+        progress_bar.update(len(picked_requests))
         _write_mech_events_to_file(mech_requests)
 
     _write_mech_events_to_file(mech_requests, True)
 
 
-def _populate_missing_ipfs_contents(mech_requests: Dict[str, Any]) -> None:
-    for _, mech_request in tqdm(
-        mech_requests.items(),
-        desc=f"{'Fetching IPFS contents':>{TEXT_ALIGNMENT}}",
-        miniters=1,
-    ):
+def _populate_event_ipfs_contents(event: Dict[str, Any], url: str) -> None:
+    response = requests.get(url)
+    response.raise_for_status()  # Raise an exception for HTTP error responses
+    event["ipfsContents"] = response.json()
+
+
+def _populate_missing_ipfs_contents(mech_requests: Dict[str, Any]) -> int:
+
+    error_count = 0
+
+    # Collect all pending events
+    pending_events = []
+
+    for _, mech_request in mech_requests.items():
         if "ipfsContents" not in mech_request:
             ipfs_hash = mech_request["ipfsHash"]
             url = f"{IPFS_ADDRESS}{ipfs_hash}/metadata.json"
-            response = requests.get(url)
-            response.raise_for_status()
-            mech_request["ipfsContents"] = response.json()
-
-        if "deliver" not in mech_request:
-            continue
-
-        deliver = mech_request["deliver"]
-        if "ipfsContents" not in deliver:
-            ipfs_hash = deliver["ipfsHash"]
-            request_id = deliver["requestId"]
-            url = f"{IPFS_ADDRESS}{ipfs_hash}/{request_id}"
-            response = requests.get(url)
-            response.raise_for_status()
-            deliver["ipfsContents"] = response.json()
+            pending_events.append((mech_request, url))
 
-        _write_mech_events_to_file(mech_requests)
+        if "deliver" in mech_request:
+            deliver = mech_request["deliver"]
+            if "ipfsContents" not in deliver:
+                ipfs_hash = deliver["ipfsHash"]
+                request_id = deliver["requestId"]
+                url = f"{IPFS_ADDRESS}{ipfs_hash}/{request_id}"
+                pending_events.append((deliver, url))
+
+    with ThreadPoolExecutor(max_workers=THREAD_POOL_EXECUTOR_MAX_WORKERS) as executor:
+        futures = [
+            executor.submit(_populate_event_ipfs_contents, event, url)
+            for event, url in pending_events
+        ]
+
+        for future in tqdm(as_completed(futures), total=len(futures), desc=f"{'Fetching IPFS contents':>{TEXT_ALIGNMENT}}", miniters=1):
+            try:
+                future.result()
+                _write_mech_events_to_file(mech_requests)
+            except Exception as e:
+                error_count += 1
+                print(f"Error occurred: {e}")
 
     _write_mech_events_to_file(mech_requests, True)
+    return error_count
 
 
 def _find_duplicate_delivers(
@@ -200,6 +246,7 @@ def _process_duplicate_delivers(mech_requests: Dict[str, Any]) -> None:
 
 
 last_write_time = 0.0
+mech_events_json_path = MECH_REQUESTS_JSON_PATH
 
 
 def _write_mech_events_to_file(
@@ -209,24 +256,53 @@ def _write_mech_events_to_file(
     now = time.time()
 
     if force_write or (now - last_write_time) >= MINIMUM_WRITE_FILE_DELAY_SECONDS:
-        with open(MECH_REQUESTS_JSON_PATH, "w", encoding="utf-8") as file:
-            json.dump({"mechRequests": mech_requests}, file, indent=2, sort_keys=True)
+        try:
+            with open(mech_events_json_path, "r", encoding="utf-8") as file:
+                data = json.load(file)
+        except (FileNotFoundError, json.JSONDecodeError):
+            data = {}
+
+        data["mechRequests"] = mech_requests
+
+        with open(mech_events_json_path, "w", encoding="utf-8") as file:
+            json.dump(data, file, indent=2, sort_keys=True)
+
         last_write_time = now
 
 
-def get_mech_requests(sender: str) -> Dict[str, Any]:
+def get_mech_requests(sender: str, json_path: str = MECH_REQUESTS_JSON_PATH) -> Dict[str, Any]:
     """Get Mech requests populated with the associated response and IPFS contents."""
-    mech_requests = {}
+    start_time = time.time()
+
+    global mech_events_json_path  # pylint: disable=global-statement
+    mech_events_json_path = json_path
+
     try:
-        with open(MECH_REQUESTS_JSON_PATH, "r", encoding="UTF-8") as json_file:
+        with open(mech_events_json_path, "r", encoding="UTF-8") as json_file:
             existing_data = json.load(json_file)
             mech_requests = existing_data.get("mechRequests", {})
     except FileNotFoundError:
-        pass  # File doesn't exist yet, so there are no existing requests
+        mech_requests = {}
 
     _populate_missing_requests(sender.lower(), mech_requests)
-    _populate_missing_responses(mech_requests)
+    _populate_missing_delivers(mech_requests)
     _process_duplicate_delivers(mech_requests)
     _find_duplicate_delivers(mech_requests)
-    _populate_missing_ipfs_contents(mech_requests)
+    error_count = _populate_missing_ipfs_contents(mech_requests)
+
+    if error_count > 0:
+        print(f"{error_count} errors populating IPFS contents. Retrying again...")
+        _populate_missing_ipfs_contents(mech_requests)
+
+    end_time = time.time()
+    elapsed_time = end_time - start_time
+    elapsed_timedelta = timedelta(seconds=elapsed_time)
+    formatted_time = str(elapsed_timedelta)
+    print(f"Time of execution: {formatted_time}")
+
     return mech_requests
+
+
+if __name__ == "__main__":
+    service_safe_address = "0x89c5cc945dd550BcFfb72Fe42BfF002429F46Fec"
+    get_mech_requests(service_safe_address, f"dataset_{service_safe_address}.json")

From d5c29916f712270cb99925ba98c742fd66504692 Mon Sep 17 00:00:00 2001
From: David Vilela <dvilelaf@gmail.com>
Date: Mon, 16 Sep 2024 18:22:24 +0200
Subject: [PATCH 13/36] feat: healthcheck

---
 .../agents/market_maker/aea-config.yaml       |   1 +
 .../valory/services/market_maker/service.yaml |   1 +
 .../market_creation_manager_abci/handlers.py  | 291 +++++++++++++++++-
 .../market_creation_manager_abci/models.py    |   1 +
 .../market_creation_manager_abci/skill.yaml   |   1 +
 .../skills/market_maker_abci/handlers.py      |   6 +-
 .../skills/market_maker_abci/skill.yaml       |   1 +
 7 files changed, 298 insertions(+), 4 deletions(-)

diff --git a/packages/valory/agents/market_maker/aea-config.yaml b/packages/valory/agents/market_maker/aea-config.yaml
index 5ac3d12..3d18c9b 100644
--- a/packages/valory/agents/market_maker/aea-config.yaml
+++ b/packages/valory/agents/market_maker/aea-config.yaml
@@ -220,6 +220,7 @@ models:
       mech_contract_address: ${str:0x77af31de935740567cf4ff1986d04b2c964a786a}
       mech_tool_resolve_market: ${str:resolve-market-reasoning-gpt-4}
       answer_retry_intervals: ${list:[0, 86400, 259200, 604800, 1209600]}
+      service_endpoint_base: ${str:https://dummy_service.autonolas.tech/}
   randomness_api:
     args:
       method: ${str:GET}
diff --git a/packages/valory/services/market_maker/service.yaml b/packages/valory/services/market_maker/service.yaml
index 6ec104f..bf81d0a 100644
--- a/packages/valory/services/market_maker/service.yaml
+++ b/packages/valory/services/market_maker/service.yaml
@@ -106,6 +106,7 @@ models:
       google_api_key: ${GOOGLE_API_KEY:str:google_api_key}
       google_engine_id: ${GOOGLE_ENGINE_ID:str:google_engine_id}
       openai_api_key: ${OPENAI_API_KEY:str:openai_api_key}
+      service_endpoint_base: ${SERVICE_ENDPOINT_BASE:str:https://dummy_service.autonolas.tech/}
   randomness_api:
     args:
       method: ${RANDOMNESS_API_METHOD:str:GET}
diff --git a/packages/valory/skills/market_creation_manager_abci/handlers.py b/packages/valory/skills/market_creation_manager_abci/handlers.py
index 62aab73..7a3afdf 100644
--- a/packages/valory/skills/market_creation_manager_abci/handlers.py
+++ b/packages/valory/skills/market_creation_manager_abci/handlers.py
@@ -19,7 +19,12 @@
 
 """This module contains the handlers for the skill of MarketCreationManagerAbciApp."""
 
-from typing import Optional
+import json
+import re
+from datetime import datetime
+from enum import Enum
+from typing import Callable, Dict, List, Optional, Tuple, Union, cast
+from urllib.parse import urlparse
 
 from aea.configurations.data_types import PublicId
 
@@ -63,3 +68,287 @@ class LlmHandler(AbstractResponseHandler):
             LlmMessage.Performative.RESPONSE,
         }
     )
+
+
+class HttpCode(Enum):
+    """Http codes"""
+
+    OK_CODE = 200
+    NOT_FOUND_CODE = 404
+    BAD_REQUEST_CODE = 400
+    NOT_READY = 503
+
+
+class HttpMethod(Enum):
+    """Http methods"""
+
+    GET = "get"
+    HEAD = "head"
+    POST = "post"
+
+
+class HttpHandler(BaseHttpHandler):
+    """This implements the HTTP handler."""
+
+    SUPPORTED_PROTOCOL = HttpMessage.protocol_id
+
+    def setup(self) -> None:
+        """Implement the setup."""
+
+        # Custom hostname (set via params)
+        service_endpoint_base = urlparse(
+            self.context.params.service_endpoint_base
+        ).hostname
+
+        # Propel hostname regex
+        propel_uri_base_hostname = (
+            r"https?:\/\/[a-zA-Z0-9]{16}.agent\.propel\.(staging\.)?autonolas\.tech"
+        )
+
+        # Route regexes
+        hostname_regex = rf".*({service_endpoint_base}|{propel_uri_base_hostname}|localhost|127.0.0.1|0.0.0.0)(:\d+)?"
+        self.handler_url_regex = rf"{hostname_regex}\/.*"
+        health_url_regex = rf"{hostname_regex}\/healthcheck"
+
+        # Routes
+        self.routes = {
+            (HttpMethod.POST.value,): [],
+            (HttpMethod.GET.value, HttpMethod.HEAD.value): [
+                (health_url_regex, self._handle_get_health),
+                (self.handler_url_regex, self._get_data),
+            ],
+        }
+
+        self.json_content_header = "Content-Type: application/json\n"
+
+    @property
+    def synchronized_data(self) -> SynchronizedData:
+        """Return the synchronized data."""
+        return SynchronizedData(
+            db=self.context.state.round_sequence.latest_synchronized_data.db
+        )
+
+    def _get_handler(self, url: str, method: str) -> Tuple[Optional[Callable], Dict]:
+        """Check if an url is meant to be handled in this handler
+
+        We expect url to match the pattern {hostname}/.*,
+        where hostname is allowed to be localhost, 127.0.0.1 or the token_uri_base's hostname.
+        Examples:
+            localhost:8000/0
+            127.0.0.1:8000/100
+            https://pfp.staging.autonolas.tech/45
+            http://pfp.staging.autonolas.tech/120
+
+        :param url: the url to check
+        :param method: the http method
+        :returns: the handling method if the message is intended to be handled by this handler, None otherwise, and the regex captures
+        """
+        # Check base url
+        if not re.match(self.handler_url_regex, url):
+            self.context.logger.info(
+                f"The url {url} does not match the HttpHandler's pattern"
+            )
+            return None, {}
+
+        # Check if there is a route for this request
+        for methods, routes in self.routes.items():
+            if method not in methods:
+                continue
+
+            for route in routes:  # type: ignore
+                # Routes are tuples like (route_regex, handle_method)
+                m = re.match(route[0], url)
+                if m:
+                    return route[1], m.groupdict()
+
+        # No route found
+        self.context.logger.info(
+            f"The message [{method}] {url} is intended for the HttpHandler but did not match any valid pattern"
+        )
+        return self._handle_bad_request, {}
+
+    def handle(self, message: Message) -> None:
+        """
+        Implement the reaction to an envelope.
+
+        :param message: the message
+        """
+        http_msg = cast(HttpMessage, message)
+
+        # Check if this is a request sent from the http_server skill
+        if (
+            http_msg.performative != HttpMessage.Performative.REQUEST
+            or message.sender != str(HTTP_SERVER_PUBLIC_ID.without_hash())
+        ):
+            super().handle(message)
+            return
+
+        # Check if this message is for this skill. If not, send to super()
+        handler, kwargs = self._get_handler(http_msg.url, http_msg.method)
+        if not handler:
+            super().handle(message)
+            return
+
+        # Retrieve dialogues
+        http_dialogues = cast(HttpDialogues, self.context.http_dialogues)
+        http_dialogue = cast(HttpDialogue, http_dialogues.update(http_msg))
+
+        # Invalid message
+        if http_dialogue is None:
+            self.context.logger.info(
+                "Received invalid http message={}, unidentified dialogue.".format(
+                    http_msg
+                )
+            )
+            return
+
+        # Handle message
+        self.context.logger.info(
+            "Received http request with method={}, url={} and body={!r}".format(
+                http_msg.method,
+                http_msg.url,
+                http_msg.body,
+            )
+        )
+        handler(http_msg, http_dialogue, **kwargs)
+
+    def _handle_bad_request(
+        self, http_msg: HttpMessage, http_dialogue: HttpDialogue
+    ) -> None:
+        """
+        Handle a Http bad request.
+
+        :param http_msg: the http message
+        :param http_dialogue: the http dialogue
+        """
+        http_response = http_dialogue.reply(
+            performative=HttpMessage.Performative.RESPONSE,
+            target_message=http_msg,
+            version=http_msg.version,
+            status_code=HttpCode.BAD_REQUEST_CODE.value,
+            status_text="Bad request",
+            headers=http_msg.headers,
+            body=b"",
+        )
+
+        # Send response
+        self.context.logger.info("Responding with: {}".format(http_response))
+        self.context.outbox.put_message(message=http_response)
+
+    def _send_ok_response(
+        self,
+        http_msg: HttpMessage,
+        http_dialogue: HttpDialogue,
+        data: Union[Dict, List],
+    ) -> None:
+        """Send an OK response with the provided data"""
+        http_response = http_dialogue.reply(
+            performative=HttpMessage.Performative.RESPONSE,
+            target_message=http_msg,
+            version=http_msg.version,
+            status_code=HttpCode.OK_CODE.value,
+            status_text="Success",
+            headers=f"{self.json_content_header}{http_msg.headers}",
+            body=json.dumps(data).encode("utf-8"),
+        )
+
+        # Send response
+        self.context.logger.info("Responding with: {}".format(http_response))
+        self.context.outbox.put_message(message=http_response)
+
+    def _send_not_ready_response(
+        self, http_msg: HttpMessage, http_dialogue: HttpDialogue
+    ) -> None:
+        """Send an not ready response"""
+        http_response = http_dialogue.reply(
+            performative=HttpMessage.Performative.RESPONSE,
+            target_message=http_msg,
+            version=http_msg.version,
+            status_code=HttpCode.NOT_READY.value,
+            status_text="Data not ready",
+            headers=http_msg.headers,
+            body=b"Data not ready",
+        )
+        # Send response
+        self.context.logger.info("Responding with: {}".format(http_response))
+        self.context.outbox.put_message(message=http_response)
+
+    def _send_not_found_response(
+        self, http_msg: HttpMessage, http_dialogue: HttpDialogue
+    ) -> None:
+        """Send an not found response"""
+        http_response = http_dialogue.reply(
+            performative=HttpMessage.Performative.RESPONSE,
+            target_message=http_msg,
+            version=http_msg.version,
+            status_code=HttpCode.NOT_FOUND_CODE.value,
+            status_text="Not found",
+            headers=http_msg.headers,
+            body=b"",
+        )
+        # Send response
+        self.context.logger.info("Responding with: {}".format(http_response))
+        self.context.outbox.put_message(message=http_response)
+
+    def _handle_get_health(
+        self, http_msg: HttpMessage, http_dialogue: HttpDialogue
+    ) -> None:
+        """
+        Handle a Http request of verb GET.
+
+        :param http_msg: the http message
+        :param http_dialogue: the http dialogue
+        """
+        seconds_since_last_transition = None
+        is_tm_unhealthy = None
+        is_transitioning_fast = None
+        current_round = None
+        rounds = None
+
+        round_sequence = cast(SharedState, self.context.state).round_sequence
+
+        if round_sequence._last_round_transition_timestamp:
+            is_tm_unhealthy = cast(
+                SharedState, self.context.state
+            ).round_sequence.block_stall_deadline_expired
+
+            current_time = datetime.now().timestamp()
+            seconds_since_last_transition = current_time - datetime.timestamp(
+                round_sequence._last_round_transition_timestamp
+            )
+
+            is_transitioning_fast = (
+                not is_tm_unhealthy
+                and seconds_since_last_transition
+                < 2 * self.context.params.reset_pause_duration
+            )
+
+        if round_sequence._abci_app:
+            current_round = round_sequence._abci_app.current_round.round_id
+            rounds = [
+                r.round_id for r in round_sequence._abci_app._previous_rounds[-25:]
+            ]
+            rounds.append(current_round)
+
+        data = {
+            "seconds_since_last_transition": seconds_since_last_transition,
+            "is_tm_healthy": not is_tm_unhealthy,
+            "period": self.synchronized_data.period_count,
+            "reset_pause_duration": self.context.params.reset_pause_duration,
+            "rounds": rounds,
+            "is_transitioning_fast": is_transitioning_fast,
+        }
+
+        self._send_ok_response(http_msg, http_dialogue, data)
+
+    def _get_data(self, http_msg: HttpMessage, http_dialogue: HttpDialogue) -> None:
+        """Get data and status code for response."""
+        if not self.synchronized_data.data_json:
+            self._send_not_ready_response(http_msg, http_dialogue)
+            return
+
+        data = {
+            "payload": self.synchronized_data.data_json,
+            "signatures": self.synchronized_data.participant_to_signatures,
+        }
+        self._send_ok_response(http_msg, http_dialogue, data)
diff --git a/packages/valory/skills/market_creation_manager_abci/models.py b/packages/valory/skills/market_creation_manager_abci/models.py
index e21e606..ce47602 100644
--- a/packages/valory/skills/market_creation_manager_abci/models.py
+++ b/packages/valory/skills/market_creation_manager_abci/models.py
@@ -166,6 +166,7 @@ def __init__(self, *args: Any, **kwargs: Any) -> None:
         self.answer_retry_intervals = self._ensure(
             key="answer_retry_intervals", kwargs=kwargs, type_=List[int]
         )
+        self.service_endpoint_base = self._ensure("service_endpoint_base", kwargs, str)
         super().__init__(*args, **kwargs)
 
 
diff --git a/packages/valory/skills/market_creation_manager_abci/skill.yaml b/packages/valory/skills/market_creation_manager_abci/skill.yaml
index 62687fc..c50b634 100644
--- a/packages/valory/skills/market_creation_manager_abci/skill.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/skill.yaml
@@ -224,6 +224,7 @@ models:
       - 259200
       - 604800
       - 1209600
+      service_endpoint_base: https://dummy_service.autonolas.tech/
     class_name: MarketCreationManagerParams
   randomness_api:
     args:
diff --git a/packages/valory/skills/market_maker_abci/handlers.py b/packages/valory/skills/market_maker_abci/handlers.py
index 8758892..6d14d61 100644
--- a/packages/valory/skills/market_maker_abci/handlers.py
+++ b/packages/valory/skills/market_maker_abci/handlers.py
@@ -24,9 +24,6 @@
 from packages.valory.skills.abstract_round_abci.handlers import (
     ContractApiHandler as BaseContractApiHandler,
 )
-from packages.valory.skills.abstract_round_abci.handlers import (
-    HttpHandler as BaseHttpHandler,
-)
 from packages.valory.skills.abstract_round_abci.handlers import (
     IpfsHandler as BaseIpfsHandler,
 )
@@ -39,6 +36,9 @@
 from packages.valory.skills.abstract_round_abci.handlers import (
     TendermintHandler as BaseTendermintHandler,
 )
+from packages.valory.skills.market_creation_manager_abci.handlers import (
+    HttpHandler as BaseHttpHandler,
+)
 from packages.valory.skills.market_creation_manager_abci.handlers import (
     LlmHandler as BaseLlmHandler,
 )
diff --git a/packages/valory/skills/market_maker_abci/skill.yaml b/packages/valory/skills/market_maker_abci/skill.yaml
index 5c36a20..e382c02 100644
--- a/packages/valory/skills/market_maker_abci/skill.yaml
+++ b/packages/valory/skills/market_maker_abci/skill.yaml
@@ -220,6 +220,7 @@ models:
       - 259200
       - 604800
       - 1209600
+      service_endpoint_base: https://dummy_service.autonolas.tech/
     class_name: Params
   randomness_api:
     args:

From d10dfd5f0c84454baf6b33e7d1d3ec5ebc17227e Mon Sep 17 00:00:00 2001
From: David Vilela <dvilelaf@gmail.com>
Date: Mon, 16 Sep 2024 18:24:53 +0200
Subject: [PATCH 14/36] fix: hashes

---
 packages/packages.json                                    | 8 ++++----
 packages/valory/agents/market_maker/aea-config.yaml       | 4 ++--
 packages/valory/services/market_maker/service.yaml        | 2 +-
 .../valory/skills/market_creation_manager_abci/skill.yaml | 4 ++--
 packages/valory/skills/market_maker_abci/skill.yaml       | 4 ++--
 5 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/packages/packages.json b/packages/packages.json
index b1603fa..eef8d68 100644
--- a/packages/packages.json
+++ b/packages/packages.json
@@ -3,10 +3,10 @@
         "contract/valory/fpmm_deterministic_factory/0.1.0": "bafybeigjfuahxhb2y4q5ueayry55boaojcryoamwr6fshgayf5s762vpl4",
         "contract/valory/wxdai/0.1.0": "bafybeidalocwbhmbto6ii6adldtpcughtdt6j3v4tv36utevjk2wrdyqie",
         "contract/valory/fpmm/0.1.0": "bafybeiai2ruj27nnglvn7yc5atojyojo3fkmofw6wrjgz2ybps2uwdizx4",
-        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeigopmjddoomz57pkeafpjvssvvbemgtl6zitjvvjgj2y2dbyazf5e",
-        "skill/valory/market_maker_abci/0.1.0": "bafybeih7cs656swz6l33cdw43njf5dqro3lu2rbkr362jtkw3ixahll2ya",
-        "agent/valory/market_maker/0.1.0": "bafybeih4jazyeuw7w3npc36eujvkrdc4yk5yt33iep2jhj6rjzmpgyjj6e",
-        "service/valory/market_maker/0.1.0": "bafybeie3ibdzqzpiycrrbc6g6gx2hkhz57cb3tc2gz5toh7qovaotcektm"
+        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeie6623xr5okk7e5xgpy5v4sxwetqhetsetrjb7zku5petdhnvsqay",
+        "skill/valory/market_maker_abci/0.1.0": "bafybeiefowjjy7i5xoh5fn6ygufr5ufglzdpkgf6e52xnohur467kjmici",
+        "agent/valory/market_maker/0.1.0": "bafybeifi4x7d7zuxjysoi64ii4mferdhsy3g6vetmcbsfkj5ta7s5bxs3a",
+        "service/valory/market_maker/0.1.0": "bafybeiay5huorcnu2achmf2ifn6ycig37lzgc2kbkyilo4yj3khtiooce4"
     },
     "third_party": {
         "protocol/valory/contract_api/1.0.0": "bafybeidgu7o5llh26xp3u3ebq3yluull5lupiyeu6iooi2xyymdrgnzq5i",
diff --git a/packages/valory/agents/market_maker/aea-config.yaml b/packages/valory/agents/market_maker/aea-config.yaml
index 3d18c9b..851e024 100644
--- a/packages/valory/agents/market_maker/aea-config.yaml
+++ b/packages/valory/agents/market_maker/aea-config.yaml
@@ -37,9 +37,9 @@ protocols:
 skills:
 - valory/abstract_abci:0.1.0:bafybeieh4ei3qdelmacnm7vwq57phoewgumr3udvxt6pybmuggwc3yk65q
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
-- valory/market_maker_abci:0.1.0:bafybeih7cs656swz6l33cdw43njf5dqro3lu2rbkr362jtkw3ixahll2ya
+- valory/market_maker_abci:0.1.0:bafybeiefowjjy7i5xoh5fn6ygufr5ufglzdpkgf6e52xnohur467kjmici
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
-- valory/market_creation_manager_abci:0.1.0:bafybeigopmjddoomz57pkeafpjvssvvbemgtl6zitjvvjgj2y2dbyazf5e
+- valory/market_creation_manager_abci:0.1.0:bafybeie6623xr5okk7e5xgpy5v4sxwetqhetsetrjb7zku5petdhnvsqay
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
diff --git a/packages/valory/services/market_maker/service.yaml b/packages/valory/services/market_maker/service.yaml
index bf81d0a..47fe286 100644
--- a/packages/valory/services/market_maker/service.yaml
+++ b/packages/valory/services/market_maker/service.yaml
@@ -7,7 +7,7 @@ license: Apache-2.0
 fingerprint:
   README.md: bafybeibwz3af6326msp4h3kqehijvmyhaytvyfbo3o2npc2w4b6zrg6pfq
 fingerprint_ignore_patterns: []
-agent: valory/market_maker:0.1.0:bafybeih4jazyeuw7w3npc36eujvkrdc4yk5yt33iep2jhj6rjzmpgyjj6e
+agent: valory/market_maker:0.1.0:bafybeifi4x7d7zuxjysoi64ii4mferdhsy3g6vetmcbsfkj5ta7s5bxs3a
 number_of_agents: 1
 deployment:
   agent:
diff --git a/packages/valory/skills/market_creation_manager_abci/skill.yaml b/packages/valory/skills/market_creation_manager_abci/skill.yaml
index c50b634..0007c80 100644
--- a/packages/valory/skills/market_creation_manager_abci/skill.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/skill.yaml
@@ -13,8 +13,8 @@ fingerprint:
   behaviours.py: bafybeibaeqww3qnhiqck3pi7t276azxv7jt4tzscex25onaoobtrakqnoi
   dialogues.py: bafybeicmaufkl7vdomnfciv7lw4536ssld7x4uemdapuhsyvfpd4ncibza
   fsm_specification.yaml: bafybeiebwzp5jirrwo475r2hzwrirx45jlxtp5duo4275phypqfkueybtq
-  handlers.py: bafybeietxjfli2i57kb7heoy772rcq2znusl36gg7jjj5g3pddw7egny3q
-  models.py: bafybeic2w6gyk3hhn4ksea3nte4c6mron6f2zojxjgo6u5kyvkfnx2g6ie
+  handlers.py: bafybeibcswwwehvrtwaepsc4dndrjsmi3pms6zq2u7p6qxnj7qbnifl4qe
+  models.py: bafybeicfdblqzyj6ex3qvjmbejjdt6qwecblfsgjdrfj7rydqgo6h7xasm
   payloads.py: bafybeibu7sptf43adazxpyzwtfpph7bgfhtwiotg5sdlcwjt6iw3idqn7a
   rounds.py: bafybeifnezj3cw323fj5xnieuucfqarznzlpesaj75huylfkpeyuunqkvy
   tests/__init__.py: bafybeihfxvqnyfly72tbxnnnglshcilm2kanihqnjiasvcz3ec3csw32ti
diff --git a/packages/valory/skills/market_maker_abci/skill.yaml b/packages/valory/skills/market_maker_abci/skill.yaml
index e382c02..0b96597 100644
--- a/packages/valory/skills/market_maker_abci/skill.yaml
+++ b/packages/valory/skills/market_maker_abci/skill.yaml
@@ -13,7 +13,7 @@ fingerprint:
   composition.py: bafybeibags3bapzxlvsbjsxhlyxpd6ypnvwggu6jijktm4qfe4sn5ugfky
   dialogues.py: bafybeicintyylxt4nd5gcufh3rehbxr5jvdn6un7wvaoel7hvj3dmurlpy
   fsm_specification.yaml: bafybeicsotlxzvvpw2jk7assimkvrsgtogfvlirkmpg2rxqseg3j6qqbem
-  handlers.py: bafybeidlgouig5odju36dkjl5vdqx6mqrukaoyn2chnl5dv2ca6owqlecm
+  handlers.py: bafybeig2srdonivh5nyiwxs7jr3n5ihtro22m6pp3bzi3ves6xtaaqa3ai
   models.py: bafybeigyrb6tcpebn7gecgnkcerqmbembat4xdg2wvfybwg6op3rsee2sq
   tests/__init__.py: bafybeig7noiiz2y2b2scjeaalby56ft24eqj4o433blm2oze2pu3lljp44
 fingerprint_ignore_patterns: []
@@ -24,7 +24,7 @@ skills:
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
-- valory/market_creation_manager_abci:0.1.0:bafybeigopmjddoomz57pkeafpjvssvvbemgtl6zitjvvjgj2y2dbyazf5e
+- valory/market_creation_manager_abci:0.1.0:bafybeie6623xr5okk7e5xgpy5v4sxwetqhetsetrjb7zku5petdhnvsqay
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
 - valory/mech_interact_abci:0.1.0:bafybeieryw7rk2tspyxx46loqqqimr2l5vvhtshiyg2mmdxijzb7pdoi6a

From e501ddc247e61229270e83f9a912a0f3ef2dffcd Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Mon, 16 Sep 2024 19:38:03 +0200
Subject: [PATCH 15/36] chore: notebook

---
 scripts/list_finalizing_markets.ipynb | 20 +++++++++-----------
 1 file changed, 9 insertions(+), 11 deletions(-)

diff --git a/scripts/list_finalizing_markets.ipynb b/scripts/list_finalizing_markets.ipynb
index 238080f..fa66386 100644
--- a/scripts/list_finalizing_markets.ipynb
+++ b/scripts/list_finalizing_markets.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -258,7 +258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -650,18 +650,16 @@
     "# Select markets to display\n",
     "market_states = [\n",
     "    #MarketState.OPEN,\n",
-    "    #MarketState.PENDING,\n",
-    "    #MarketState.FINALIZING,\n",
+    "    MarketState.PENDING,\n",
+    "    MarketState.FINALIZING,\n",
     "    #MarketState.ARBITRATING,\n",
-    "    MarketState.CLOSED,\n",
+    "    #MarketState.CLOSED,\n",
     "    #MarketState.UNKNOWN\n",
     "]\n",
     "\n",
     "print(f\"Filtering {market_states} markets\")\n",
     "df_filtered = df[df[\"State\"].isin(market_states)]\n",
-    "df_filtered = df[df[\"Current answer\"]==\"Invalid\"]\n",
-    "\n",
-    "\n",
+    "#df_filtered = df[df[\"Current answer\"]==\"Invalid\"]\n",
     "\n",
     "\n",
     "pd.options.display.max_colwidth = 150\n",
@@ -676,7 +674,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -724,8 +722,8 @@
     "\n",
     "\n",
     "\n",
-    "month= 7\n",
-    "plot_closed_markets(data, int(datetime(2024, 6, 1, tzinfo=timezone.utc).timestamp()), int(datetime(2024, month+1, 31, tzinfo=timezone.utc).timestamp()))\n",
+    "# month= 7\n",
+    "# plot_closed_markets(data, int(datetime(2024, 6, 1, tzinfo=timezone.utc).timestamp()), int(datetime(2024, month+1, 31, tzinfo=timezone.utc).timestamp()))\n",
     "\n",
     "\n"
    ]

From c8131fff9846a6405a32266c3737ae30947eeac4 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Mon, 16 Sep 2024 19:50:26 +0200
Subject: [PATCH 16/36] fix: linters

---
 scripts/mech_request_utils.py | 31 ++++++++++++++++------------
 scripts/propose_markets.py    | 39 +++++++++++++++++++++--------------
 2 files changed, 41 insertions(+), 29 deletions(-)

diff --git a/scripts/mech_request_utils.py b/scripts/mech_request_utils.py
index d366323..acbe203 100644
--- a/scripts/mech_request_utils.py
+++ b/scripts/mech_request_utils.py
@@ -21,10 +21,10 @@
 
 import json
 import time
-from datetime import timedelta
 from collections import defaultdict
-from typing import Any, Dict, List
 from concurrent.futures import ThreadPoolExecutor, as_completed
+from datetime import timedelta
+from typing import Any, Dict, List
 
 import requests
 from gql import Client, gql
@@ -103,7 +103,9 @@ def _populate_missing_delivers(mech_requests: Dict[str, Any]) -> None:
     client = Client(transport=transport, fetch_schema_from_transport=True)
 
     NUM_REQUESTS_PER_QUERY = 100
-    pending_mech_requests = {k: req for k, req in mech_requests.items() if "deliver" not in req}
+    pending_mech_requests = {
+        k: req for k, req in mech_requests.items() if "deliver" not in req
+    }
 
     progress_bar = tqdm(
         total=len(pending_mech_requests),
@@ -112,18 +114,16 @@ def _populate_missing_delivers(mech_requests: Dict[str, Any]) -> None:
     )
 
     while pending_mech_requests:
-
         picked_requests = list(pending_mech_requests.values())[:NUM_REQUESTS_PER_QUERY]
 
         for mech_request in picked_requests:
             del pending_mech_requests[mech_request["id"]]
 
-        requestsId_in = [mech_request['requestId'] for mech_request in picked_requests]
+        requestsId_in = [mech_request["requestId"] for mech_request in picked_requests]
 
         mech_delivers = []
         id_gt = "0x00"
         while True:
-
             variables = {
                 "requestId_in": requestsId_in,
                 "id_gt": id_gt,
@@ -146,10 +146,9 @@ def _populate_missing_delivers(mech_requests: Dict[str, Any]) -> None:
         # smallest blockNumber such that >= request's blockNumber
         for mech_request in picked_requests:
             for deliver in mech_delivers:
-                if (
-                    deliver["requestId"] == mech_request["requestId"]
-                    and int(deliver["blockNumber"]) >= int(mech_request["blockNumber"])
-                ):
+                if deliver["requestId"] == mech_request["requestId"] and int(
+                    deliver["blockNumber"]
+                ) >= int(mech_request["blockNumber"]):
                     mech_request["deliver"] = deliver
                     break
 
@@ -166,7 +165,6 @@ def _populate_event_ipfs_contents(event: Dict[str, Any], url: str) -> None:
 
 
 def _populate_missing_ipfs_contents(mech_requests: Dict[str, Any]) -> int:
-
     error_count = 0
 
     # Collect all pending events
@@ -192,7 +190,12 @@ def _populate_missing_ipfs_contents(mech_requests: Dict[str, Any]) -> int:
             for event, url in pending_events
         ]
 
-        for future in tqdm(as_completed(futures), total=len(futures), desc=f"{'Fetching IPFS contents':>{TEXT_ALIGNMENT}}", miniters=1):
+        for future in tqdm(
+            as_completed(futures),
+            total=len(futures),
+            desc=f"{'Fetching IPFS contents':>{TEXT_ALIGNMENT}}",
+            miniters=1,
+        ):
             try:
                 future.result()
                 _write_mech_events_to_file(mech_requests)
@@ -270,7 +273,9 @@ def _write_mech_events_to_file(
         last_write_time = now
 
 
-def get_mech_requests(sender: str, json_path: str = MECH_REQUESTS_JSON_PATH) -> Dict[str, Any]:
+def get_mech_requests(
+    sender: str, json_path: str = MECH_REQUESTS_JSON_PATH
+) -> Dict[str, Any]:
     """Get Mech requests populated with the associated response and IPFS contents."""
     start_time = time.time()
 
diff --git a/scripts/propose_markets.py b/scripts/propose_markets.py
index 70f7f4f..1eaea24 100644
--- a/scripts/propose_markets.py
+++ b/scripts/propose_markets.py
@@ -1,7 +1,7 @@
 # -*- coding: utf-8 -*-
 # ------------------------------------------------------------------------------
 #
-#   Copyright 2023 Valory AG
+#   Copyright 2023-2024 Valory AG
 #
 #   Licensed under the Apache License, Version 2.0 (the "License");
 #   you may not use this file except in compliance with the License.
@@ -23,17 +23,12 @@
 import logging
 import os
 import random
-import secrets
-import time
-import traceback
-import uuid
-from string import Template
-from typing import Any, Dict, List, Optional, Tuple
+from typing import Any, Dict, List, Optional
 
 import requests
-import yaml
 from dotenv import load_dotenv
-from openai import AuthenticationError, OpenAI, RateLimitError
+from openai import OpenAI
+
 
 load_dotenv(dotenv_path=".env")
 
@@ -78,7 +73,7 @@
 MARKET_IDENTIFICATION_PROMPT = """Based on the
         following news snippets under NEWS_SNIPPETS, formulate 15 prediction market questions
         with clear, objective outcomes.
-        
+
         Each question must satisfy all the following criteria:
         - It must be related to an event happening before EVENT_DAY or on EVENT_DAY.
         - It must not encourage unethical behavior or violence.
@@ -89,10 +84,10 @@
         - Its answer must be verified using publicly available sources or news media.
         - Its answer must not be an opinion.
         - Its answer must be known after EVENT_DAY.
-        
+
         OUTPUT_FORMAT
         You must provide a JSON array with entries "question" and "topic". "topic" must be a topic under TOPICS.
-        
+
         EVENT_DAY
         {event_day}
 
@@ -111,15 +106,18 @@ class OpenAIClientManager:
     """Client context manager for OpenAI."""
 
     def __init__(self, api_key: str):
+        """__init__"""
         self.api_key = api_key
 
     def __enter__(self) -> OpenAI:
+        """__enter__"""
         global client
         if client is None:
             client = OpenAI(api_key=self.api_key)
         return client
 
     def __exit__(self, exc_type, exc_value, traceback) -> None:
+        """__exit__"""
         global client
         if client is not None:
             client.close()
@@ -127,7 +125,10 @@ def __exit__(self, exc_type, exc_value, traceback) -> None:
 
 
 class Context:
+    """Mock class Context"""
+
     def __init__(self):
+        """__init__"""
         self.logger = logging.getLogger(__name__)
         self.logger.setLevel(
             logging.DEBUG
@@ -142,14 +143,16 @@ def __init__(self):
 
 
 class Params:
-    pass
+    """Mock class Params"""
 
 
 class SynchronizedData:
-    pass
+    """Mock class SynchronizedData"""
 
 
 class DataGatheringRound:
+    """Mock class DataGatheringRound"""
+
     ERROR_PAYLOAD = "ERROR_PAYLOAD"
     MAX_RETRIES_PAYLOAD = "MAX_RETRIES_PAYLOAD"
     MAX_PROPOSED_MARKETS_REACHED_PAYLOAD = "MAX_PROPOSED_MARKETS_REACHED_PAYLOAD"
@@ -157,13 +160,16 @@ class DataGatheringRound:
 
 
 class MarketProposalBehaviourMock:
+    """Mock class MarketProposalBehaviourMock"""
+
     params = Params()
     synchronized_data = SynchronizedData()
     context = Context()
 
     def __init__(self):
+        """__init__"""
         self.synchronized_data.most_voted_randomness = "".join(
-            [str(random.randint(0, 9)) for _ in range(74)]
+            [str(random.randint(0, 9)) for _ in range(74)]  # nosec
         )
         self.params.topics = [
             "business",
@@ -225,7 +231,6 @@ def _gather_data(self) -> str:
         # only get articles from top headlines
         url = f"{self.params.newsapi_endpoint}/{TOP_HEADLINES}"
         response = requests.get(
-            # method="GET",
             url=url,
             headers=headers,
             params=parameters,
@@ -307,6 +312,8 @@ def _get_response(self, prompt_template: str, prompt_values: Dict[str, str]):
 
 
 def main() -> None:
+    """Main method"""
+
     mp_behaviour = MarketProposalBehaviourMock()
     mp_behaviour._gather_data()
     news_articles = mp_behaviour.synchronized_data.gathered_data

From 457895a830a0d69e46d3b70e8f0b2ad436aadab1 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Mon, 16 Sep 2024 19:57:23 +0200
Subject: [PATCH 17/36] chore: notebook

---
 scripts/list_finalizing_markets.ipynb | 614 +++++++++++++++++++++++++-
 1 file changed, 601 insertions(+), 13 deletions(-)

diff --git a/scripts/list_finalizing_markets.ipynb b/scripts/list_finalizing_markets.ipynb
index fa66386..e4a8713 100644
--- a/scripts/list_finalizing_markets.ipynb
+++ b/scripts/list_finalizing_markets.ipynb
@@ -29,7 +29,7 @@
     "\"\"\"Script for analyzing market creator markets.\"\"\"\n",
     "\n",
     "from collections import defaultdict\n",
-    "from datetime import datetime, timedelta\n",
+    "from datetime import datetime, timedelta, timezone\n",
     "from enum import Enum\n",
     "from mech_request_utils import get_mech_requests, IPFS_ADDRESS\n",
     "from scipy import stats\n",
@@ -60,18 +60,304 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "          Fetching requests...\n",
+      "           5585 requests found\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "             Fetching delivers: 100%|██████████| 101/101 [00:04<00:00, 21.04it/s]\n",
+      "    Finding duplicate delivers: 100%|██████████| 5585/5585 [00:00<00:00, 1526866.63it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Duplicate deliver ids found: 55\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      " Processing duplicate delivers: 100%|██████████| 55/55 [00:00<00:00, 305545.32it/s]\n",
+      "    Finding duplicate delivers: 100%|██████████| 5585/5585 [00:00<00:00, 1920097.36it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Duplicate deliver ids found: 0\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "        Fetching IPFS contents: 100%|██████████| 18/18 [00:00<00:00, 18.16it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time of execution: 0:00:14.143137\n"
+     ]
+    }
+   ],
    "source": [
     "mech_requests = get_mech_requests(MARKET_CREATOR_ADDRESS)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DescribeResult(nobs=5493, minmax=(0, 42851), mean=95.28090296741307, variance=900835.6368475459, skewness=34.46180239797064, kurtosis=1489.0988046017505)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Request ID</th>\n",
+       "      <th>Prompt</th>\n",
+       "      <th>Block Timestamp (UTC)</th>\n",
+       "      <th>Result</th>\n",
+       "      <th>Deliver Block Timestamp (UTC)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>21064806733482770901930093558552145888082617270563214360899869092890655038937</td>\n",
+       "      <td>Will the Efficiency Commission proposed by Trump and Elon Musk be officially established by 15 September 2024?</td>\n",
+       "      <td>2024-09-16 02:50:35</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-16 02:51:55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4437897716755637321369775590571818531664901238547876534437742235644565156886</td>\n",
+       "      <td>Will the trial of the three ex-officers over Tyre Nichols' fatal assault conclude by 15 September 2024?</td>\n",
+       "      <td>2024-09-16 02:36:40</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-16 02:38:15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>106500807181004094931363291787200301658438996216963052496846373140433106565815</td>\n",
+       "      <td>Will the Greece's new tax on cruise ship arrivals be successfully implemented by September 15, 2024?</td>\n",
+       "      <td>2024-09-16 02:23:10</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-16 02:24:15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>80111906349490403770150817747482576451522877008857865169965513258822903377236</td>\n",
+       "      <td>Will Tom Brady start his NFL broadcasting career on 15 September 2024?</td>\n",
+       "      <td>2024-09-16 01:47:55</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-16 01:49:20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>48205822738232981613465340996884268569986324477304571860100924039965011479392</td>\n",
+       "      <td>Will the Michigan vs. Texas college football game result in a Michigan victory on 15 September 2024?</td>\n",
+       "      <td>2024-09-16 01:01:55</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-16 01:04:15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>16112679238669083356689018077456933339827871916273099052591098082353023789867</td>\n",
+       "      <td>Will Apple launch the iPhone 16 by 15 September 2024?</td>\n",
+       "      <td>2024-09-16 00:45:20</td>\n",
+       "      <td>{\"has_occurred\": true, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-16 00:47:05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>60910169641023741582434620768195873450696003628815004562519732732972204765239</td>\n",
+       "      <td>Will England batsman Ben Duckett play against Sri Lanka in the third Test on 15 September 2024?</td>\n",
+       "      <td>2024-09-16 00:30:30</td>\n",
+       "      <td>{\"has_occurred\": true, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-16 00:32:15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>57542521151901601877634863248274724031494312743773250226527491982899857585075</td>\n",
+       "      <td>Will Tropical Storm Francine hit Louisiana as a hurricane on 15 September 2024?</td>\n",
+       "      <td>2024-09-16 00:16:55</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-16 00:18:10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>72569501911006500840295719139848975791549352470191037599138143021942171429927</td>\n",
+       "      <td>Will Nanoleaf launch another smart switch on or by 15 September 2024?</td>\n",
+       "      <td>2024-09-16 00:02:00</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-16 00:04:05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>92648054171603641111311660196475190316091141914299988270091815289213434168881</td>\n",
+       "      <td>Will Linkin Park's first tour since Chester Bennington's death with new female singer be successful?</td>\n",
+       "      <td>2024-09-15 19:01:30</td>\n",
+       "      <td>{\"has_occurred\": null, \"is_determinable\": false, \"is_valid\": null}</td>\n",
+       "      <td>2024-09-15 19:02:35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>85490155222795886836663434275419435319387743706273866966854884180473711591756</td>\n",
+       "      <td>Will the average ransomware demand increase beyond $1.5 Million by 14 September 2024?</td>\n",
+       "      <td>2024-09-15 02:40:35</td>\n",
+       "      <td>{\"has_occurred\": true, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-15 02:42:15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>114939140929858328909694889230609907708570009913616390794057872609748087455463</td>\n",
+       "      <td>Will the Paris 2024 Paralympics conclude with a party at Stade de France on 14 September 2024?</td>\n",
+       "      <td>2024-09-15 02:25:00</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-15 02:27:05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>6341693369303502543872732160586073324491742660341377744136794321409534959185</td>\n",
+       "      <td>Will the 7-Eleven owner accept the buyout offer from the rival by 14 September 2024?</td>\n",
+       "      <td>2024-09-15 02:11:25</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-15 02:12:20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>72821698585825024273778535485844740176885219960040646048211562082443595673843</td>\n",
+       "      <td>Will Green Day resume their Detroit concert on 14 September 2024 after the unauthorized drone incident?</td>\n",
+       "      <td>2024-09-15 01:56:40</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-15 01:57:50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>54833293223384948484532508672512425786348419181508680299938266857484803798857</td>\n",
+       "      <td>Will the Boeing Starliner return to Earth on 14 September 2024?</td>\n",
+       "      <td>2024-09-15 01:41:45</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-15 01:43:05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>48776650721525493467112671041418269730026082627051277348429091925520809126065</td>\n",
+       "      <td>Will Roblox reach 1 billion users by 14 September 2024?</td>\n",
+       "      <td>2024-09-15 01:28:40</td>\n",
+       "      <td>{\"has_occurred\": true, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-15 01:29:30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>58457842086375110315369510040114175272235888481436660455065643761743043700047</td>\n",
+       "      <td>Will Jack Draper reach the US Open 2024 men's singles final by 14 September 2024?</td>\n",
+       "      <td>2024-09-15 01:15:00</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-15 01:16:10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>27828879275610427186099244915945471790869020321456831384827144291335293535677</td>\n",
+       "      <td>Will the Microsoft Windows Wi-Fi drivers vulnerability (CVE-2024-30078) be patched by 14 September 2024?</td>\n",
+       "      <td>2024-09-15 00:29:35</td>\n",
+       "      <td>{\"has_occurred\": true, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-15 00:30:55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>41691833129970760372896407113323368099222580666047698968574503866153106448770</td>\n",
+       "      <td>Will the grand jury return a new indictment against Harvey Weinstein on 14 September 2024?</td>\n",
+       "      <td>2024-09-15 00:14:20</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-15 00:15:45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>46475717459981100153853097561915444319177025978604428122555889298562576319577</td>\n",
+       "      <td>Will the data poisoning attacks on AI/ML models increase by 14 September 2024?</td>\n",
+       "      <td>2024-09-15 00:00:15</td>\n",
+       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
+       "      <td>2024-09-15 00:01:20</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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lsnz27Nnw9PTE5MmTy3WsmJgYJCYmlnisss7/QV28eBFNmzY1KVwLjw0UdP0GgEuXLkGn0xXJqVQq0b59+yI5W7Rogeeee874fXmuaXleE2fOnEGLFi2wYsUK47LyZDX3/Ivz008/4eeff8akSZMwduzYEtsBpb8vAAUf9E2dOhXe3t5YsmQJnnzySaxevRoPP/xwicVPaYQQSEhIMPm9qIjXWnx8fLG/a5GRkViwYAEWLlxY4qMjJbl48SJsbW2N1+LuTIXr73bmzBn89NNPWLZsWYUMSlrctSqkVqvh4OAAR0dH1KtXD1OnTi3XmAnmKO09LCcnB8nJyQgPD8fSpUuxZ88eDBw40KTN9u3b0aJFC2zfvr3I9ocPH4aNjQ3s7Ozg5+eH5cuXm6wvfIynuJ+ZjY0NYmNjTf4emDVrFlq0aIGYmJgi7efOnQs7OztYW1ujS5cu2L9/v1nHsrGxAQCcP3++yD4LGQwGPPPMM0hJScHGjRtRr169EtsSEVElKc/t9MIu62fPnhUrVqwQ9vb2xi7SY8aMEf379xdCFO3OdezYMQFAbNiwwWR/e/fuNVmenp4u7O3tRbdu3Yp0DTYYDMb/79u3rwAgfv75Z+Oy/Px84enpKZ588slSzyEwMFAAEFOmTDFZ/tRTTxXppvrSSy8JLy8vkZycbNJ2/PjxwtHR0XjuxXVZ//jjj8Xdlzc0NFQAEF9//bXJvqZMmSLs7OyM+zL3WglRcJ0BiL1795q0Xbp0abm69d4NgJDL5eLKlSsmy829Fo899liZjxM8//zzomHDhkWW33vNhDC/y/r27dvL1W363jzFdZ8s6Vo8/vjjQqlUivDwcOOy2NhYYW9vL/r06WNcVvj7MmTIEJPXb48ePYRMJhOvvvqqcZlOpxP169cvsftzWQYNGiQcHBxEWlqacdnUqVOFQqEotr2bm5sYP358qft86aWXhEKhENevXzdZHhcXJ+zt7Y3dcO9+XyhLYXfwTz75pMi6b775RgAQ165dMy4LCgoSCoXC2BW68DVizmv77NmzRd4nCr333nsCgMjLyysx44N2WW/VqpUYMGBAkeVXrlwRAMS3334rhLjzmv7nn3+KtB0zZozw9PQ0WQbA5JjluableU0cOXKkyHUoT1Zzz/9eISEhwtbWVrRq1crsR3BKel9ITEwUSqVSPPzww0Kv1xuXr1ixQgAQP/74o1n7v9v69esFALFmzRrjsvt9rRX6559/hEwmE7Nnzy6ybvTo0aJnz57G71GOLuvDhg0TAQEBRZbn5OQIAOL99983LjMYDKJr165iwoQJQgjzu0uXprhrJYQQ77//vpg5c6bYvHmz2LRpk3j++ecFANGrV68ij8IVKq3LenFSUlKEu7u76N27d7HrJ0+eLAAY3+dHjx5d5JGNwve2ex9HGzFihFi4cKH4448/xJo1a0Tv3r0FADFjxgxjG71eL5ycnMTAgQNNtk1OTha2trYCgDh37pxxeeE1uPv8bt++LR5++GGxatUq8eeff4ply5aJBg0aCLlcLnbu3Glsd/78eQFAfPrppybHKvy7wc7OrsTrVPhowty5c0tsQ0REleu+pz0bO3YscnNzsXPnTmRlZWHnzp0ldlf/7bff4OjoiMGDByM5Odn4Vdh178iRIwAKullnZWXh/fffh7W1tck+7v203s7OzqRLnVKpRNeuXcvsmrZ7924AMN5RKfTmm2+afC+EwLZt2zBixAgIIUxyDxkyBBkZGbhw4UKpx7pb06ZN0b59e5NRX/V6PbZu3YoRI0YYP9k291oV8vf3x5AhQ0yWFXbr3bFjBwwGg9kZC/Xt2xctW7Y0fl+ea+Hk5ITo6GicPXu23Md9EIXnvHPnzvu661WSe6+FXq/H/v378fjjjyMgIMC43MvLC0899RSOHz9epAvmSy+9ZPL67datG4QQeOmll4zLFAoFOnfuXObrtzjz58/HwYMHsWDBApMu3bm5uSUOUmdtbY3c3NwS97lx40asWbMG77zzDpo0aWKybubMmQgICMDLL79c7qyFxyxu4MfC3/m7c02fPh2PPPIIHn744Uo/VkXLzc0169hl5bw3oxDCpDt2ec6zPK+Jfv36QQhhMtp8ebKae/53y8vLw7hx42AwGLB58+Zy3xG+18GDB6HRaPDmm29CLr/zz92kSZPg4OBg0kXfHNeuXcPUqVPRo0cPPP/888blD/JaS0xMxFNPPQV/f3/MmDHDZN2RI0ewbdu2cvfIujuXuZnWrVuHS5cuYeHChfd1rHuVdK0A4PPPP8eCBQswduxYjB8/HuvWrcO8efPw77//YuvWrQ98bIPBgKeffhrp6eklziDw5ptv4sCBA/jpp5/wyCOPQK/XF+kSPnHiRAghiow6/ueff2LGjBl47LHH8OKLL+Lvv//GkCFDjIMcAoBcLsfkyZNx6NAhzJo1C2FhYTh//jzGjh1rPM69118IYfLoTIMGDbBv3z68+uqrGDFiBN544w3jYHB3DyjXsWNHdOvWDQsXLsTatWsRERGBPXv2YPLkybC0tCzxtXfs2DHjYIjl7e1EREQV574Lcjc3NwwaNAgbN27E77//Dr1eb/Ic9N3CwsKQkZEBd3d3uLm5mXxlZ2cjMTERQMEUSgDMmmO8fv36RYp0Z2fnYp9Jv9vt27chl8uLPPfarFkzk++TkpKQnp6O7777rkjmF154AQCMuc01btw4/Pvvv8YuaUePHkViYiLGjRtnbGPutSpU3LOV48aNQ69evfDyyy/Dw8MD48ePx5YtW8wuzu/dZ3muxcyZM2FnZ4euXbuiSZMmmDp1qtld5R9E37598eSTT2Lu3LlwdXXFY489hrVr15Zr9O/iFHct1Gp1kdcLUNCV2GAwFHk29u5nSoE7Iwn7+voWWV7W6/demzdvxkcffYSXXnoJr732msk6lUpV4jOHeXl5JRY7x44dw0svvYQhQ4Zg3rx5JutOnTqF9evXY+nSpSYFzr1yc3MRHx9v8lWYCUCxP5fCadsK22zevBknTpzAkiVLSjwOUDDC+N3HKZxmqjzHqgwqlcqsY5eVs6yM5TnP+31NmHusu7c39/zv9uabbyI4ONg4hsaDun37NoCi7+9KpRIBAQHG9eaIj4/HsGHD4OjoaHw+vtD9vtZycnIwfPhwZGVlYceOHSbPlut0OkyfPh3PPvusydgAJWW7+6uwADP3Z5CZmYlZs2bhvffeK/K+dDe9Xl/kWMW9nkq7ViV56623IJfLcfDgwTLbluX111/H3r178cMPP6Bdu3bFtmnevDkGDRqE5557Djt37kR2drbxQ+fykslkeOutt6DT6Uw+LPvkk0/w0ksvYdGiRWjatCk6d+4MCwsL44ex944lYI569erhhRdeQGhoqMnYN9u2bUO7du3w4osvwt/fHyNGjMDYsWPRoUOHYo+TkpKCCRMmwNnZGRs2bCj1/ZyIiCrXfU17Vuipp57CpEmTEB8fj0ceeaTEAZcMBgPc3d2xYcOGYtebO/XH3Ur6B/5+/jEtTmHx+swzzxT5dL9Q27Zty7XPcePGYdasWfjtt9/w5ptvYsuWLXB0dMTQoUNNjluea1XcH3kqlQr//PMPjhw5gl27dmHv3r3YvHkzBgwYgP3795f5x9G9+yzPtWjRogVCQ0Oxc+dO7N27F9u2bcPKlSvxv//9zzj1TEnPJur1+lJzlUYmk2Hr1q04deoU/vrrL+zbtw8vvvgilixZglOnTt3XHz5AxRRsJV3v4paX5/V74MABPPfccxg2bBi+/fbbIuu9vLyg1+uRmJgId3d343KNRoOUlBR4e3sX2SYoKAgjR45E69atsXXrVlhYmL5FzJgxA71794a/v79xLt3CQb/i4uIQGRmJBg0aYPPmzcYPa+4+t3r16sHKygpxcXFFjl24rDDXe++9hzFjxkCpVBqPVTjoUlRUFDQaDby9vbF48WKTaY0aNmyIiIgIeHl5mez33mMVZqksXl5exT4Peu95lpWzuJ/T3cpzTe/nNXHvOZmb1dzzL/Tbb79h9erVGDt2rNlTT1WVjIwMPPLII0hPT8exY8eKZL+f15pGo8ETTzyB4OBg7Nu3r8gH0T///DNCQ0OxevXqIvNWZ2VlISIiAu7u7rCxsTEev9DatWsxceJEeHl54ciRIxBCmLzv3vszWLx4MTQaDcaNG2c8VmGxl5aWhoiICHh7eyM2NrbIh5RHjhwxGRSyrGtVEpVKBRcXF6SmpprVviRz587FypUrsWDBAjz77LNmbzd69GhMnjwZ169fL/YD17IUfpBxd36lUokffvgB8+bNw/Xr1+Hh4YGmTZviqaeeglwuL3G6v/Icq379+gAAHx8fHD9+HGFhYYiPj0eTJk3g6ekJb2/vItOxCSHw/PPPIzY2Fn/99ZfZPyMiIqocD1SQjxo1CpMnT8apU6dMumLfq1GjRjh48CB69epVaoFTeNf68uXL9/0PVVkaNmwIg8GA8PBwk390Q0NDTdoVjsCu1+tLnBe2vPz9/dG1a1ds3rwZ06ZNw++//47HH3/c5A81c69VWeRyOQYOHIiBAwfiyy+/xPz58/Hhhx/iyJEj5T6f8l4LW1tbjBs3DuPGjTP+0Tlv3jzMmjUL1tbWcHZ2LnaEY3PuVpU10FD37t3RvXt3zJs3Dxs3bsTTTz+NX3/99b66VxfHzc0NNjY2RV4vQEEXTblcXuodpopy+vRpjBo1Cp07d8aWLVuKFM5AwTy5QMHo83fPYXvu3DkYDAbj+kLh4eEYOnQo3N3dsXv37mI/xIiMjMTt27eL7ZkxcuRIODo6Ij09HUOGDDGZhaGQXC5HmzZtcO7cuWLPKSAgAPb29gAKiu6NGzcWO8NCx44d0a5dOwQGBuK5554zmdO78PfGx8cHbm5uxR7rzJkzRc6/orVv3x5HjhxBZmamycBmhQP/FR6/devWsLCwwLlz50wGMNNoNAgMDCxzULPyXNPyvibuVZ6s5p4/ANy8eROTJk2Cv78/vvvuu1IzFKek94XCkbdDQ0NNHjHRaDS4deuWWe9neXl5GDFiBK5fv46DBw+aPMJSqLyvNYPBgOeeew6HDh3Cli1b0Ldv3yLbRUZGQqvVolevXkXW/fzzz/j555+xfft2PP7440V+1wp7F7Rv3x4//PADQkJCTHLf+zOIjIxEWlpasb0S5s+fj/nz5+PixYto3rx5kWPdfQfanGtVkqysLCQnJ9/XB/SFvvnmG8yZMwdvvvkmZs6cWa5tC3sVlDSielkKHzcqLr+Hhwc8PDwAFHzwfPToUXTr1u2+Pygu7VhNmjQxPmZ09epVxMXFFely/+WXX2LXrl146623ih3QloiIqlh5HjgvbvCmdevWiTlz5pgMvnPvoG5Hjx4VAIqdY1ir1RoHosrIyBD29vaia9euZQ7qVtzAYSUNFna3ixcvmj2o28SJE4VSqRSXLl0qsp/ExETj/5szqFuhJUuWGOelBSB2795tst7cayVEyXOhpqSkFFm2a9cuAcBkIJjioIQBg8y9FvcO+iZEwaBGcrlcZGZmCiHuDKgUFBRkbBMbGyvs7OzKHNRtz549AoDYvn27SbvU1FST14gQdwaPWrFiRcknLEof1K24a/H4448LKysrk8F34uPjhYODQ7GDut072FlJA5OZOzfv1atXhYuLi2jVqlWp80ar1WpRr149MXz4cJPlzzzzjLCxsTF5ncTFxYmAgADh7e1d6qBJ+/btE9u3bzf5ev311wUAsXjx4jJfX0IIsWDBgiLX5dq1a0KhUIiZM2cal917nO3bt4tx48YZB886fPhwmcd69dVXhUqlEpGRkcZlBw8eFADEqlWrit2mogZ1O3XqVJFBsfLy8kTjxo1Ft27dTNoOHTpUeHl5GX9HhBDihx9+EADEnj17TNqGhISYzHUthPnXtDyviZycHBESElLkdWpuVnPPX6PRiC5dughLS0tx6tQpcT9Kel8oHNRt6NChJu8PK1euNGtQN51OJ0aOHCksLCzErl27Sm1bntfalClTisxPfq+QkJBifwcAiEcffVRs375dxMbGlpopKiqqxHnIfXx8jPOQnz9/vshxCv+Nmjhxoti+fbtIT08v9VjmXqvc3FyT106hwsHvfv/992K3K2tQt19//VXI5XLx9NNPF/m34G4JCQlFlmk0GtGxY0ehUqlM5ohPT08XISEhJueekpJSZP52jUYjevXqJZRKpYiLiyvx2ELc+V3dunWryfLY2FgREhIiNBqNcdnd/7YWio6OFs7OzqJt27alHkev14thw4YJGxsbk/eLM2fOCEtLS9GpU6ci88YTEZE0HugOOYASuzDfrW/fvpg8eTI+//xzBAYG4uGHH4alpSXCwsLw22+/Yfny5Rg9ejQcHBywdOlSvPzyy+jSpQueeuopODs7IygoCGq1Gj/99NODxkX79u0xYcIErFy5EhkZGejZsycOHTqEGzduFGm7YMECHDlyBN26dcOkSZPQsmVLpKam4sKFCzh48OB9da0bO3Ys3n33Xbz77ruoV69ekTs05l6r0nzyySf4559/MGzYMDRs2BCJiYlYuXIl6tevb3InsTzMvRYPP/wwPD090atXL3h4eCAkJAQrVqzAsGHDjHfpxo8fj5kzZ2LUqFGYPn061Go1Vq1ahaZNm5Y5UF779u2hUCiwcOFCZGRkwMrKCgMGDMDGjRuxcuVKjBo1Co0aNUJWVha+//57ODg4mNwJrAifffaZcZ73KVOmwMLCAqtXr0Z+fj4WLVpUoce6V1ZWFoYMGYK0tDS89957RQalatSoEXr06AGg4E7xp59+iqlTp2LMmDEYMmQIjh07hl9++QXz5s0zmd5m6NChuHnzJmbMmIHjx4/j+PHjxnUeHh4YPHgwABQ7uFphb4e+ffsWO+3TvaZMmYLvv/8ew4YNw7vvvgtLS0t8+eWX8PDwMBmo6PHHHy+ybeFUWY888kixUxnd64MPPsBvv/2G/v3744033kB2dja++OILtGnTpkiX+vXr1+P27dtQq9UAgH/++QefffYZAODZZ58tMs9xWbp164YxY8Zg1qxZSExMROPGjfHTTz8hIiICa9asMWk7b9489OzZE3379sUrr7yC6OhoLFmyBA8//LDJIy1AwWMhffv2NXlW1dxrWp7XxJkzZ9C/f398/PHHJgO7mZvV3POfPXs2zp49iwEDBiAsLAxhYWHFXs9Ro0bB1ta22HUlvS+4u7tj1qxZmDt3LoYOHYqRI0ciNDQUK1euRJcuXcqca/udd97Bn3/+iREjRiA1NRW//PKLyfq7tzf3tbZs2TKsXLkSPXr0gI2NTZF9Fp5n8+bN0bx582Jz+fv7F/v7ca/69evjzTffxBdffAGtVosuXbrgjz/+wLFjx7BhwwbjYzMdO3ZEx44dTbYt7LreqlUrs45l7rWKj49Hhw4dMGHCBOP57du3D7t378bQoUPx2GOPlXmse505cwbPPfccXFxcMHDgwCKPfPXs2dPYQ2Ly5MnIzMxEnz594OPjg/j4eGzYsAHXrl3DkiVLTO5ab9++HS+88ILxEQCgYEC3zz77DKNHj4a/vz9SU1OxceNGXL58GfPnz4enp6dx+19++QXbtm1Dnz59YGdnh4MHD2LLli14+eWX8eSTT5pknDVrFn766SfcunXLOLDbjBkzEB4ejoEDB8Lb2xsRERFYvXo1cnJyikyz9sYbbyAvLw/t27eHVqvFxo0bjdPYFY5jolarMW7cOGi1WgwfPhxbtmwp9nre/Z5PRERVoDzVu7nTG5V05/a7774TnTp1EiqVStjb24s2bdqIGTNmFPmU/88//xQ9e/YUKpVKODg4iK5du4pNmzYZ1z/IHXIhCj6hnz59unBxcRG2trZixIgRIioqqti7YgkJCWLq1KnC19dXWFpaCk9PTzFw4EDx3XffGduU5w65EEL06tVLABAvv/xyiRnNuVYlXedDhw6Jxx57THh7ewulUim8vb3FhAkTikxfVRyUMqWOOddi9erVok+fPsLFxUVYWVmJRo0aiffee09kZGSY7Gv//v2idevWQqlUimbNmolffvnFrGnPhBDi+++/FwEBAUKhUBinOrpw4YKYMGGCaNCggbCyshLu7u5i+PDhJtPKlKS8d8iFEOLChQtiyJAhws7OTtjY2Ij+/fuLEydOmLSpjDvkha+1kr7uvVZCFLyWmjVrJpRKpWjUqJFYunRpkTtIpe2zrKnYyjPtWaGoqCgxevRo4eDgIOzs7MTw4cNFWFhYmduVZ9qzQpcvXxYPP/ywsLGxEU5OTuLpp58W8fHxRdoVTqdY3Ne902kVKu0OuRAF7zXvvvuu8PT0FFZWVqJLly5FpiksdOzYMdGzZ09hbW0t3NzcxNSpU4u9k1jSz6Q819Sc10Rx056VN6s551/adb/7q6zprop7Xyi0YsUK0bx5c2FpaSk8PDzEa6+9ZtLbqCRlZbuXOa+1wumt7vc8S3tfKo5erxfz588XDRs2FEqlUrRq1Ur88ssvZW5X3mnPzL1WaWlp4plnnhGNGzcWNjY2wsrKSrRq1UrMnz/f5O7wvUq7Q174HlTS193/Nm/atEkMGjRIeHh4CAsLC+Hs7CwGDRokduzYUeJ+797+3LlzYsSIEcLHx0colUphZ2cnHnroIbFly5Yi258+fVr06dNHODs7C2tra9GuXTvx7bffFnsHv7hpzzZu3Cj69Okj3NzchIWFhXB1dRWjRo0S58+fLzZru3bthK2trbC3txcDBw4s0ouorH8/zH3PJyKiiiUTooJGQSMiIiIiIiIis3GeCyIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikgALciIiIiIiIiIJsCAnIiIiIiIikoCF1AGIiCqa0GigS06GLiUFuuRk6FNSoEtOgS4lBfqUZBhy1BBabclfOl3BjmQyQAbIILvr+4IvmYUF5A72UDg6QuHo9N9///tyuvP/ckdHKJycoHBwgEyhkO6iEBEREVG1w4KciGoEIQR0cXEFhXZyCnQpydAb/z+l4P9TCv7fkJkpddyiZDLI7e3vKdydYOntBaWfP5T+/lD6+8HC2VnqpERERERURWRCCCF1CCKiu2kTEpB/PQz5YXd93bwJoVZLHa3SKRwd/yvO/aH084PS3w9W/v6wbNgQcqVS6nhEREREVIFYkBORZHRpaXcK7xthyA+7gfwbN2DIyJA6WvUjl8PS29t4J13pV1CoK/39YenpKXU6IiIiIroPLMiJqNIZNBrkh4Qg7/r1u+5634A+OVnqaLWCwskJqg4dYNOpI1QdO0HVuhVkvJtOREREVO2xICeiCie0WuReugT16dPIOX0GuRcvQuTnSx2rzpBZWcG6TWvYdOgIVaeOsOnYEQoHB6ljEREREdE9WJAT0QMTej3yrlxBzunTUJ8+A/WFC3Xiee8aQyaDVePGBcV5p06w6dgRlj4+UqciIiIiqvNYkBNRuQmDAfnXriHn9BmoT5+G+tw5GLKzpY5F5WDh5QWbDh2Md9CtmjWDTC6XOhYRERFRncKCnIjKJIRAflgY1KfPIOf0KajPnuPAa7WMwtUV9gMGwH7wYNh27waZpaXUkYiIiIhqPRbkRFQsYTBAfeYMMnfvQdahQ9CnpEgdiaqI3MEBdv36wn7wYNg99BDkKpXUkYiIiIhqJRbkRGQkhEDuhQvI3L0Hmfv3QZ/EUdDrOplKBbuHehUU5/37Q2FvL3UkIiIiolqDBTkRIffSJWTu2o3Mffugi4uTOg5VV5aWsO3WDfaDBsF+0EBYuLpKnYiIiIioRmNBTlRH5V27VlCE790LbVSU1HGoppHLoerQAfaDB8Fh8GCO2k5ERER0H1iQE9Uh+eHhBUX4nj3Q3LoldRyqRaxbtYLTmNFwHDECcltbqeMQERER1QgsyIlqOW1MDDL+2onM3buRf/261HGolpPb2sJhxHA4T5gA62bNpI5DREREVK2xICeqpXLOnEHa+vXIOnwE0OuljkN1kKpDBzhPGA/7oUMhVyqljkNERERU7bAgJ6pFDBoNMv/aidRffkF+SIjUcYgAAApnZziOGgXn8eOgbNBA6jhERERE1QYLcqJaQJuQiLRNG5G+5TfoU1OljkNUPJkMtj17wnnCeNj17w+ZQiF1IiIiIiJJsSAnqsFyg4KQ+vN6ZO7fD2i1UschMpuFpyecRo+G05gxsPRwlzoOERERkSRYkBPVMEKrRebefUhdvx55wcFSxyF6MBYWsO/fH85PTYBtjx5SpyEiIiKqUizIiWoIXWoq0jdvRtqmX6FLTJQ6DlGFs27bFm7TpsKuTx+poxARERFVCRbkRNVc/o0bSPlxLTJ37oTQaKSOQ1TpVO3awfX112H3UC+poxARERFVKhbkRNWUNiYGSV99jYy//gIMBqnjEFU5VceOcHt9GruyExERUa3FgpyomtGlpCD529VI//VXCA7URgSbLl3g+vo02HbtKnUUIiIiogrFgpyomtBn5yD1xzVIXfcTDGq11HGIqh2bbt3gNv112HTqJHUUIiIiogrBgpxIYgaNBmkbNiLlu++gT0uTOg5RtWfbswdcp70Om44dpI5CRERE9EBYkBNJROj1yPjjDyR98w10sXFSxyGqcWwfeghur0+Dql07qaMQERER3RcW5EQSyNy/H0nLv4ImPFzqKEQ1nm3fPnB/4w1Yt2wpdRQiIiKicmFBTlSFck6dRuKXXyIvOFjqKES1i1wO5/Hj4fbWm1DY20udhoiIiMgsLMiJqkDulStIWvIlck6ckDoKUa2mcHWFx8wZcBwxQuooRERERGViQU5UiQw5OUhcugxpGzdyLnGiKmTTrRs8P/4frAICpI5CREREVCIW5ESVJOvIEcR/8il0cRywjUgSlpZwmTgRrlNeg1ylkjoNERERUREsyIkqmC45GfHz5iFrz16poxARAEtvb3h89CHsBwyQOgoRERGRCRbkRBUofds2JCz6AoaMDKmjENE97Pr3h+dHH8LSx0fqKEREREQAWJATVQjN7duI+9/HUJ8+LXUUIiqFTKWC6+TJcHnxBciUSqnjEBERUR3HgpzoAQidDik/rkXyN99A5OdLHYeIzKQMCIDn/2bDtnt3qaMQERFRHcaCnOg+5V66hLjZ/0P+tWtSRyGi++QwbBg8Zr0PC1dXqaMQERFRHcSCnKicDGo1kpYvR+ovGwC9Xuo4RPSAFM7O8PrsU9gPHCh1FCIiIqpjWJATlUP2sWOInzMX2pgYqaMQUQVzGjMaHrNmQW5jI3UUIiIiqiNYkBOZwZCTg/jP5iFj+3apoxBRJVI2bAjvxV9A1aaN1FGIiIioDmBBTlSGvJAQxLz1NjQREVJHIaKqYGEBt6lT4PLKK5ApFFKnISIiolqMBTlRKVJ/2YDERYsgNBqpoxBRFVN16gTvhQugrF9f6ihERERUS8mlDkBUHekzMhA1bRoSPvuMxThRHZUXEoI3Dr6OfRH7pI5CREREtRTvkBPdQ33hAmLefRe62DipoxCRhP59oROWewYBAMY2HYsZXWfASmElcSoiIiKqTViQE/1HCIGI3WeQN/NlQKeTOg4RSSizf0e83D3YZFlT56ZY3Hcx/B39JUpFREREtQ27rBMByMvRYtfKYOzZmQN11+FSxyEiCcnqe2Nm1xtFll9Pu45xO8dh983dEqQiIiKi2ogFOdV5ibczsWX+Wdy+lAIhgCDnR6D34h0wojrJwgLfP2GHFLm62NW5ulzMPDYTX577EgZhqOJwREREVNuwyzrVaVf/jcU/m65DrzP9w9rDU4GWv02DTM+u60R1ybXxXfE//wtmte3l0wuL+iyCg9KhklMRERFRbcWCnOokg0Hg39/CEHwkusQ2LTzS4LX5oypMRURS0nZqiWcGX4eQmb9NQ4eG+Kr/VwhwCqi8YERERFRrscs61Tn5uTrsWhFUajEOACGJzsjuO66KUhGRlGT1nDF7QFK5inEAuJ15G0/vfhpHo45WRiwiIiKq5ViQU52SnqjGtoXnEHk1tezGAgi27Q+db7PKD0ZE0pHJ8Me4+rhpkXZfm2drszH98HSsDloNdjojIiKi8mCXdaozoq+lYu/3l5GfU77nwt08FGi1/Q3INfmVlIyIpBQ/vAumt7lYIfsa3HAwPuv1GWwsbSpkf0RERFS7sSCnOuHy39E4tjkMBsP9vdybeWbC59dZFZyKiKQmmgXg+VGxyJNV3ACOTZ2b4qsBX8HHzqfC9klERES1E7usU61mMAj8vSkUf2+6ft/FOACExjsga8AzFZiMiKQms7HBouHaCi3GgYL5yp/d/SxCU0MrdL9ERERU+7Agp1pLq9Fj96pgXP47pkL2F2T1ELT+rStkX0QkvX/HtcB5ZVyl7DspNwkv7H0BZ+PPVsr+iYiIqHZgQU61Um62BjuWXsTtSykVtk9Nrh5XO78OYaWqsH0SkTSy+nXAMs+gyj2GNguvHngVB24fqNTjEBERUc3FgpxqnczkXPz+xQUk3Mqs8H2nJOkQ/cTcCt8vEVUdmY8XZna7WSXH0hg0ePfvd/HrtV+r5HhERERUs7Agp1olJSYb2744j/QEdaUdIyzOFpkPv1hp+yeiSmRhgR9G2yNZnlNlhzQIA+adnoevL35dZcckIiKimoEFOdUaceEZ2L7kAtQZmko/VpCsC7SNO1T6cYioYoU+2RH7bKrm7vi9vgv+DnNOzIHeoJfk+ERERFT9sCCnWuH25RT8ufwi8tUVO1pySbT5Blxp/yoMKrsqOR4RPThdx5b4n/8FSTNsC9uGt46+hTxdnqQ5iIiIqHpgQU41Xti5BOxeFQydxlClx01N1iFq1CdVekwiuj8yZyfMHpgMIZM6CXAk6ggmH5iMbE221FGIiIhIYizIqUa7fjYeB368CoP+/ucYfxDhsVZIf/Q1SY5NROb7c3wDhFukSh3D6ELiBbx68FXkaKvuWXYiIiKqfliQU411/Uw8Dq4NgTBIU4wXCta1haZFN0kzEFHJEoZ1wXqnq1LHKCIoKQiTD0xmUU5ERFSHsSCnGun6mXgcXCd9MQ4AOo0Bl1u+BIOdo9RRiOheTfwxs/VlqVOUKCgpCK8e4J1yIiKiuooFOdU4oaerTzFeKD1Fi4iRfJ6cqDqRqVT4YoQearlW6iilCkwKxGsHX4NaW3nTNRIREVH1xIKcapTQ0/E49FP1KsYLRcRaIG34dKljENF/To1rhbNWsVLHMMvFxIt49eCrLMqJiIjqGBbkVGOEno7HoXVXq2UxXig4vwXy2/SWOgZRnZfTpwOWeAVKHaNcLiZe5J1yIiKiOoYFOdUI18/8V4xX31ocAKDXGnCp8bMwOLhIHYWozpJ5e2Jm91tSx7gvFxIvsCgnIiKqQ1iQU7V3KzgZh9aFVPtivFBmmha3hn8sdQyiusnCAmtHOyJRUXPn+L6QeAFTDk1Bri5X6ihERERUyViQU7UWcz0N+76/DEM17qZenNuxCqQ89o7UMYjqnBtPdMRu23CpYzyw8wnn8e7f70Jn0EkdhYiIiCoRC3KqthJvZ2L3ymDotQapo9yXS9mNkNd+gNQxiOoMXYcWmN3ootQxKsw/0f/g01OfSh2DiIiIKhELcqqWUmNjcGzTD9Bqqvd0RaUx6AWCG46Hvp6H1FGIaj2ZkyM+HpgKPWpWb5qy/B72O1ZcXCF1DCIiIqokLMip2slOTcG2+bMRcfEwHJ0PQ2GplzrSfcvO0CJ86P8gZDKpoxDVajvH+yHMMkXqGJVidfBqbAndInUMIiIiqgQsyKlayVer8fvnHyMzKREAEH8jGCrr3VBa19znKKNjgeRR70sdg6jWSny0M35yviJ1jEo1//R8HIo8JHUMIiIiqmAsyKna0Ot0+PPL+UiKjDBZnhwZBrnYDpVtvjTBKsCVdF/kdh4idQyi2qexH2a0qd3FOADohR4z/5mJi4m15xl5IiIiYkFO1ciB775G5KXAYtelx0dBq94CO+eaOQ2QwSAQ7P0E9K4+UkchqjVkKmssGSmgltfcsSbKI1+fj2mHpuFm+k2poxAREVEFYUFO1cKJ3zbiyt+ld8fMTk1CTtIGOLpmVVGqipWTqUPY4A/5PDlRBTkztjVOW8VIHaNKZWoy8erBV5GQkyB1FCIiIqoALMhJciHHj+Lk1o1mtc3NykRq1C9w9kyr5FSVIzZOIPHJj6SOQVTj5fRujy+8A6WOIYm4nDhMOTQFaq1a6ihERET0gFiQk6QuRqbhxM6/yrWNNi8XiTd+gZtPzbxDdDXVE+oeI6WOQVRjybw8MLPnLaljSOp62nV89C8/3CMiIqrpWJCTZOIz8vDK+vP4UtEP9i06l2tbvVaL6Cub4O4bWUnpKo8wAMEuw6Dz9JM6ClHNo1Bg3WhnJMpzpE4iuQO3D+C74O+kjkFEREQPgAU5SSJPq8cr688hKSsfOXo5Ps/rDFnHh8u1DyEMiAzeCnff0EpKWXnU2Tpc7zcTQq6QOgpRjRL+RCfssrshdYxq45vAb/BP9D9SxyAiIqL7xIKcJDFjazCCozOM3wvI8FVaIyR1HgOFpbJc+4oM3gU3n4sQEBUds1LFxxsQP/p/Useg+6QRAkNuhuNibtU/xzv+dgT2Z2VW+XGlpm/XHB815rRfdzMIA97/531EZERIHYWIiIjug0wIUbOqGKrxvjlyA1/sK/mudm/HHPS49SdyM9LLtV+f5t2QmtQDwlCDPmeSAd10R2B7bKvUSarUdykpOJidhZv5GljLZWivUuEdNzf4K62MbfINBixKSsTuzExohMBDtraY7eEJVwuLEve7IjkJe7KyEK/VwlImQ0tra7zh6oZ2KhUAQGMwYHZCPA5nZ8NVocBsD0/0tLU1br8mNQVxWi0+8vAs8xzWp6XiaHY21vg2AADEaDVYlZKC02o1knU6uFtYYLiDAya7uEL538j6tzT5mBufgHBNPrIMBrhbWGCYvQOmuLrC8r82B7Ky8F1KCiK1GuiEQAOlEi8418NIR0fjsY9mZ2NBYgJ2+wdAXkdG7Zc5OeKDSdYIs0iROkq1FOAYgI3DNsLW0rbsxkRERFRt1KDKhWqDw9cSsHh/6V3Mj2XYYpvPaNh7NyzXvmOunYaj82EoLPUPErFqCSDIYTB09ZtInaRKnVOrMcHJCZsaNsQP9X2hEwIvR0VBbTAY2yxITMSR7Gws9fbBzw0aIlGnwxsxpU9x5adU4kN3D/zh54/1DRrCx9ISk6KjkKrTAQC2ZKTjSl4eNjZoiDFOTpgRF4vCzySjNRpsTU/Hm65uZeYXQmBjWhqedHQyLrup0cAggDkenvjTzx8z3d2xJT0dy5KSjG0sIMNIRwd8X98Xu/wD8L67O7ZmpGNFcrKxjaNCjskuLtjYoCG2+/njCUdHfBgfh+M52cY2vW1tkWMw4FhO3XmOevc4PxbjpbiZcROzjs0CP2MnIiKqWXiHnKpMXEYuHl1+DGlqrVntHS30mCY/g8zQwHIdx7VBE2i0j0CTV/Kd1OrG3UOBltumQ67TSB1FEqk6HR4Kv4GffRugs40NsvR69LoRhi+8vTHE3gEAcDM/H8MjbmFTg4bGO95lydbr0fVGGNbU90UPW1t8khAPO7kcb7u5I89gQMew6zjeqDHqWVjglagojHVywiB7+zL3ezkvF+Nv38bpJk1gW8o4AGtSU7A5PR37AxqV2GZhYgIu5eXhlwYlfwD1ZMQt9LWzw/S7Piz4MC4OOggs9PIuM29Nl/RIZ0xtHyh1jBrhtXavYUr7KVLHICIiIjPxDjlVCb1BYPqmi2YX4wCQoVPgc013WLYfUK5jJUeGQS62Q2WbX96YkklM0CN+9MdSx5BM1n93xh0VBcXtlbw86AD0sLnT/TbAygpeFhYIzM01a58aIbAlIx32cjmaWxV0hW9mZYULubnIMxhwPCcHbgoLOCsU+CszA0q5zKxiHADOq3Php1SWWowDQLbeAMdS2tzWaHAsJwddVDbFrhdC4GRODiI0GnS+p00blTXOq+vAPNSNGmJmu6tSp6gxvg36FocjD0sdg4iIiMzEgpyqxNID13E2Iq3c2xkgw5cZzZDR+QnIS3l2+F7p8VHQqrfAztm84q06uJbghOx+T0kdo8oZhMCCxAR0VKnQ5L/COVmvg6VMBgeFaTHramGBZL2u1P0dzc5Gp+uh6HA9FD+npeGH+r5w/u+184SjE5pZWWFExC18l5qCL729kWEwYEVyMj5098DypCQMuRmOSVFRSNCW/OFRrE4LtzJej7c1GmxIT8NYJ6ci6566fRvtr4fikVs30Ullg9ddXU3WZ+n16HQ9FO2uh+K1mGh84OFh8qw7ALhbWCBep4OhFndykllbY+lIGbJldbPnyP0QEPjg+Acc5I2IiKiGYEFOle54WDJWHn2waYp+TvHA5TYTYGVn3h1MAMhOTUJO0gY4umY90LGrjACCVH2ga9Bc6iRV6tOEBITl52NxBXW97mpjg9/9/LGxQUM8ZGuLt+NikfLfM+SWMhlme3jiQEAjbGnoh042NliUmIhnnJ0Rkp+HQ9lZ2O7nj7Yqa8xPTCjxGHkGAatSBlNL0GrxSnQUhtjbY0wxBfkSb29sbeiHL7y88U9ONtamppqst5XL8bufPzY39MMbrq5YlJiIM2rT58WtZXIYUNAToLY6O7Y1TlpHSx2jxsnR5mDGPzOg1ZvfI4mIiIikwYKcKlVSVj7e3BwIQwXUDIfS7bDTbyzsPH3M3iY3KxOpUb/A2bP8d+elkJ+rx9Xub0EoraWOUiU+S4jH3znZWOfbAJ6WlsblrgoLaIVApt50gL5knQ6uitLvTNvI5WioVKKdSoXPPL2gALAtI6PYtqfVOQjX5OMpJ2ecVavRx9YONnI5hto74Ewp3cGdFQpk6g3FrkvUaTExKhIdVCrMLWG0di9LSzS2ssIwBwe85eqGb1KSob+rsJbLZGioVKKFtTVeqOeCh+3t8X2KadGeoddDJZPBWl4738bVD7XDIp9AqWPUWCGpIfjq4ldSxyAiIqIy1M6/5KhaMBgE3tociOTsinuW+1qOEqsdhsGhcWuzt9Hm5SLxxi9w8yn5jmd1kpyoQ8wTc6WOUamEEPgsIR4Hs7Pxo28D1Feazj3fytoaFgBO3XVX+JYmH3E6HdqbOaCb8VgANKJo8ZxvMODThAR87OEJhUwGvQB0/81lrxMCxZfbBVpYW+GmJr/IiNYJWi2ej4xEK2trzPP0MmtKMmHG8Qyi6DmEafLRwrp2fnAj83TH+z1vSx2jxvvpyk84EXtC6hhERERUChbkVGlWHr2B4zeSy25YTqlaBRYaHoJ1uz5mb6PXahF9ZRPcfSMrPE9luB5vh6xBE6WOUWk+TUzAX5mZ+MLLG7ZyOZJ0OiTpdMj7b3A3e4UCTzo6YWFiIk6rc3AlLw8fxsWjvbXKZIT1Ybdu4mBWwSMJaoMBS5OSEJSbixit9r9t4pCg0xlHar/bqpQU9LG1Q8v/itoOKhUOZGUhNC8PG9PT0KGUwr+bjS3UBgNuaO4825yg1eL5qEh4WVriPTd3pOr1xvMq9FdmBvZkZiI8Px9RGg32ZGZiaXIShto7GOch/y4lBSdychCl0SA8Px9rU1PwV2YGRjg4mmQ4r1ajl00tnHNaocD6MS6IV2SX3ZZKJSDw4fEPkZqXWnZjIiIikgSnPaNKcTYiFeO/OwV9RfRVL8VLLrGwu7gTBr35c483aDsMiVHNKjFVxVBaK9A1bCWU4cFSR6lwLUOvFbt8nqcnRv03t3e+wYBFSYnYlZkJrRDoZWuL2R6eJoOptQy9Ztwm32DAe3GxCM7LQ5peDye5Aq1V1ni1ngva3FNch+Xn4/WYaPzu5w+b/7p8G4TAZ4kJ2JmZCX+lEou8vNHwnjv3d3s7Ngb1LS3xtps7AGB7Rjo+jI8vtu3VZgXjAuzJzMSa1BREaLQQEPC2tMQIB0c87+wMq/9yLE9Kwp6sTCTodLCSyRCgtMKzzs54xOHOhwoJWi0G3wzH/oBGJl39a4Obo7vi/SYXpI5Rq/St3xcrBq6QOgYREREVgwU5Vbi0HA0e/eoY4jLyquR4j9TLRMuQP6C5Z9Cr0vi27o/EmPaQoewuxVJycbNAm7/ehjzP/HOjqhGal4eXo6OwN6ARbKv4Oe4lSYnI1Osx19OrSo9b2fTtmuHZR25BJyutAz/dj/e7vo+nWzwtdQwiIiK6B7usU4V797egKivGAWBPqgP2NxoHW7fiB9AqTtTlI3D1PAmZrHp/HpWSpEP0qNr9PHlN1czaGm+7uSFGW/VTctVTKPC6q1uVH7cyyRwdMHdwBovxSrL0/FJcT7sudQwiIiK6B++QU4X65dRtfPTHZUmO7a7UY5LmH2TeKr47dHE8G7dFVmZ/6LWKshtLqJN1EBz3fid1DKJKs29ye6ypJ817R13R2KkxNg3bBGuL2jkYIBERUU3EO+RUYWLTc7Fgj/nFcEVL1CiwWN4XNm16mb1N/I1gqKx3Q2mtK7uxhIIMHaBp1kXqGESVImVoZxbjVeBG+g0sPrdY6hhERER0FxbkVGE+2H4J2fnSFrb5BjkWZreFttNwyGTmvbyTI8MgF9uhsq246dkqmk5jwJXWL8NgW3S0cKIaLaAh3mt/VeoUdcbm0M04FXdK6hhERET0HxbkVCF+vxCNo6FJUscw+jbVF7c7joOltXlzVqfHR0Gr3gJbp9xKTnb/0lJ0iHyMz5NT7SGztsbyx+TIllX9c/h12ScnP0GerurG+SAiIqKSsSCnB5acnY9Pd1a/O1w7Up3wT9PxsKln3uBX2alJUCdvgKNrViUnu383Y5VIGzZV6hhEFeL8mDb41zpK6hh1TlRWFL4J/EbqGERERAQW5FQBPt5xBWlqrdQxinUuyxq/eDwOh4aNzWqfm5WJ1Khf4OyZVsnJ7t8lTWtoWvaQOgbRA8nt1Q4L6l+UOkadtf7qelxJuSJ1DCIiojqPBTk9kL2X47HrUpzUMUoVk2eBJRaDYNeqq1nttXm5SLzxC9x8Eio52f3RaQ241PwFGOzrSR2F6L7IPNwxs9dtqWPUaXqhx5wTc6AzVO8BLYmIiGo7FuR03zLUWszeUTNGRs4zyPC5uhNEx0cAmazM9nqtFtFXNsHdN7IK0pVfRqoWt0Z8LHUMovJTKPDLWBfEK7KlTlLnXUu9hnVX1kkdg4iIqE5jQU737dNdV5GUVX1HJi/OijQ/xHcaAwulVZlthTAgMngr3H1DqyBZ+d2OtUDKyLekjkFULhGPd8IOuzCpY9B/vg36Frcz2VuBiIhIKizI6b78cz0JW89HSx3jvvyW4oJTLSdA5WRel+/I4F1w87kIAVHJycrvsroJ8tv2kToGkVn0bZrhgyaBUsegu+Tr8zHnxBwIUf3e34iIiOoCFuRUbjn5Osz6/ZLUMR7IyQwVNns/AYf6/ma1j7p8BK6eJyGTVa8/WvU6geCAZ2BwdJU6ClGpZA4O+HRIJnQyg9RR6B7nEs5ha9hWqWMQERHVSSzIqdyWHwpDTHr1na/bXLdzLbHc+mHYN+9oVvuYkFNwrHcICkt9JScrn6x0LcKHzZE6BlGp9o9vhKuWSVLHoBIsPbcUSWr+fIiIiKoaC3Iql4jkHKz7N0LqGBUmWy/H5/ldoegw2Kz28TeCobLeDaV19RqZOCpWhuRRM6SOQVSslCGd8L1Lze5VU9tlabOw9PxSqWMQERHVOSzIqVzm7w6BRl+7upwKyLAsvTFSOo+GwtKyzPbJkWGQi+1Q2VavAe0uZ/ohr6N5HywQVRWZfwPMaH9N6hhkhp03dyIoKUjqGERERHUKC3Iy24nwZOy/Wj3n5q4IG1PccLHVeFg7OJbZNj0+Clr1Ftg6VZ+u+wa9QFD90dC7eEkdhQgAILOywvLHFciSV68Pr6h4AgILTi/gAG9ERERViAU5mcVgEPh0Z4jUMSrd3xl22O47BvZevmW2zU5Ngjp5Axxds6ogmXlyMnW4MeQjCDPmWieqbBfHtMVx6yipY1A5XE65jD9u/CF1DCIiojqDBTmZZcu5KITEZUodo0rcUFtipd2jcGjarsy2uVmZSI36Bc6eaVWQzDwxsUDyEx9IHYPquLwebTHf96LUMeg+LL+wHDnaHKljEBER1QksyKlM2fk6LN5/XeoYVSpdJ8fn2h5Qtu9fZlttXi4Sb/wCN5/q053/cpo3crsOkzoG1VEyd1fM6h0tdQy6Tyl5Kfjh0g9SxyAiIqoTWJBTmb45cgPJ2XXvGVADZFiS0RxZnUdBrrAota1eq0X0lU1w942sonSlEwYgyGMk9O4NpI5CdY1cjk1j3RGjqBs9amqr9VfXIz4nXuoYREREtR4LcipVVKoaa47fkjqGpNaleOJqu/GwsrUrtZ0QBkQGb4W7b2gVJSudOkuH6wNnQcgVUkehOiTysc743b5u9aipjfL1+Vh+YbnUMYiIiGo9FuRUqgV7rkGjq13TnN2PA2n22O0/FnYe3mW2jQzeBTefixCQfqTiuDgDEp6cLXUMqiMMrZvig2acNqu22HVzF64kX5E6BhERUa3GgpxKdDYiFbsuxUkdo9q4mmOF7xyHw6FRqzLbRl0+AlfPk5DJpC3Kd55di9nb1kPda1SF7fNGfj76h9+A2sAPaugOmb0dPh2SDY1ML3UUqiACAl+c+0LqGERERLVa6Q/GUp326c6rUkeodlK0CiyS9cZbbeth5+a1uBQdj6SsbFgoFPBzccawts3h7lDQtT0m5BQ8G6uRldkfem1Bt3G9Xof9gRtx+vp+pOckw8PRF491m4SWDboaj3E27CB2nP4B+dpcdG82BE/2nHLn+FnxWLFrBmY8sQoqpW2pWTPVqTh66Xd8MOYHBDn5oKtXIH67egG/pqcjRqcFADRWKvGaiyv62N3pjv9xfDxOqXOQqNPBRi5He5UK77i6IcDKqmAbKyu0s1bhp9RUvObqWjEXlmq8Q+Ob4IryktQxqIKdTziPEzEn0NOnp9RRiIiIaiXeIadiHbiagODoDKljVEtaIcOirNYIy1egVxN/vD6wFyb37Qa9MOC7f84gX6czto2/EQyV9W4orQuW/XX2Rxy/uhNjer2Oj8b+iIdajsD3+z9GVHIYACA7NwMb/16CUd0nY9qwhTgbdgiXbp807m/zseV4rOukMotxADhxbTf8PVqhnr0HcnN0uNZ3JtytrPCWmxt+a+iH3xr6oZuNLabFRCMs/86gfa2srTHP0ws7/f3xfX1fQAAvR0dBL+7c7R/l6Ihf09OhE9J3yyfppQ3uhG9dWYzXVquCVkkdgYiIqNZiQU7F+vpwmNQRqj3tqEVwefI9NPDygLeTA8Z3aYd0dS6i00w/yEiODINcbIfKNh9nwg7i4Q5PoVWDbnB18EbvViPRskE3HA76raBtVhyslbbo1Lg/Gro3R1Pv9khIKxi5/dyNw1DILdA+oLdZ+c7fOILWDbsbv0+I16PFC1+ir50d/JRK+CmVeNPNDTZyOYJzc43txjo5obONDXwslWhpbY3prq6I1+kQo9Ua2/SwtUWGQY+zavV9Xz+qHWR+9TGjU/UYyJAqR2BSIE7EnJA6BhERUa3EgpyKOBKayLvjZtqV6oiDjcfD1tUDedqCu+A2SmWRdunxUdCqt0Bv0MDSwnS9UqFEePxlAIC7ow+0unxEJYchJy8Tt5NC4e0SAHV+FnaeXYuxD71uVq6cvEzEp91GQ7dmJstDEp2R3XccAEAvBHZnZiJXCLRTqYrdj9pgwPbMDNS3tISnpeWdzDIZmltZ4XwuC/K6TKZUYsXjVsiQ5UkdhSrZyqCVUkcgIiKqlfgMORXx1SHeHS+PoCwrJLiMgHrv2/BzdYaXo32x7bJTk9DCux7+vrIFjb3awtXBG6ExFxAYcRzivwHSbKzs8Wz/mfj5yEJodfno2nQwWvp2wYajX6Bvq8eRkhmP1XtnQ2/Q4dHOz6FDQN9ij5WWnQgBAUdbF9MVAtiV2xCLboRBo9fDRi7HV94+aPzf8+GFNqWlYXFSInKFgL9SiR/q+0Ipk5m0cbewQKxWB6q7gsa0w9+qi1LHoCoQlBSEf2P+RS+fXlJHISIiqlVYkJOJY2FJuBiZLnWMGufKX98hLyUHn7z8MhBV8mB4w1s3wbaLV/Hp5hcgA+Dq4I3uTYfgVOheY5t2/g+hnf9Dxu/DYoMQk3oLY3q9jjm/PocXBn4IB5t6+GL7VDT2agt7lXOR42h0Bc+EWyiK3q13tvLGgtd+gufeuTiQmoIP4uPwk28Dk6J8uIMDetjaIlmnw9rUVLwdG4MNDRrCSn6nU42VTI48wZHW66r87m3wWQMW43XJyqCVLMiJiIgqGLuskwneHS+/1AOrkBt+Fu7j52O1RV/oOg2DTFb8r5adtRWe79EBC8cNwzfvfIXZ49bBylIFFwevYttr9RpsPr4cE3q/iaTMGBgMejTxbgcPJ1+4O9ZHREJI8cdROQIA1PlZRdZZKCyh0Hqh3tOL8LabO5pZWWF9WppJG3uFAn5KJTrb2GCpjw9uaTQ4mJ1t0ibDoEc9haLM60O1j8zNFbN6x0odg6pYcFIwjscclzoGERFRrcKCnIxOhCfjbERa2Q0JACCEQOqBVVBfPwmP8fNg6eQJAFiV2gBRHcfCwsq6xG3lBgPUUfvg4nMLgbeOoW3D4qcU2ndhA1r6doGvW1MYhAEGcWeOZ71BB0MJd6hdHbxhrbRFfNrtEjOExjsga8AzEAC0pd3pFgICgOaeNjfy89GilHOkWkoux+axHoi24DgTddGqQI64TkREVJFYkJMR746XT+qBVci+chSuI96DXGkDfXYa9NlpMGjzsT3VGcebT8CWiyHYHXzNuM3tlDRcio5DSrYa4YnJ+N8370OuyMeg9uOL7D8uLQLnw49gWOeJAAAPpwaQyWQ4cW03Lt8+hYT0SDR0b1ZkOwCQy+Ro5tPROFhcoR2nf8CN2GCkZMUjJuUmPj57FWfUagx3KLijHqXR4LuUFFzJy0OsVouLuWq8FRsLK5kMfWzvzFUeo9UgQadDd9uyp1+j2iVqZGdsdeCo6nVVcHIwjkUfkzoGERFRrcFnyAkAcOZWKk7dTJU6Ro2SfXE3ACBh0yyT5S6Pvgm7NoNwNtMaaRoVWtndubOs0xuw5/J1pGarobRQoIWXOyZ0a46GAWFIjGkPGQoGThNCYNM/S/FEj9dgZVkwArrSwgrP9JuBLce/gk6vxdher8PJ1q3EfD2bP4JN/3yJx7u/Avl/Xeizc9Pw85EFyFSnwlppCx+XALz/1GL0uLwByM+FlVyG87lqrE9LRYZeD1cLC3RS2WBjw4ZwsbjzdrErMwu9bGzhc9fI61T7GVo1wazmQVLHIImtClqF3vXNm36RiIiISicTQgipQ5D0nvnhNI7fSJY6Rq1kIzfgDasLyL56ttR2Pi26IzWhB4SQldquOD8d/hyeTg0wpOPTxmVCCCzePhX9245G58YDTNrr9Fp88uvzeOnhj9HQrRkae6nRYNN7Zh1LIwQeuRmOL7y80dHGptxZqWaS2dth7mRHXLZMkDoKVQOrB69GT+/iH7UhIiIi87EgJ5y/nYYnV52QOka1lnVhJzJO/w59ThqU7v6oN2gyrLyL7y4OAPEb30d+1OUiy5t7uePl3l0AAEevheNI6E0AQP/mjdCvWQA8G7dFVmZ/hEdfx+bjy/HuqG+gkJc+cFp0Sji++usdfPr0JuPd9HxtLnac/h4Xb/4NdX423By80bfNE+jdcoRxu78v/4GgW8cxfcRiAEBn5QU47F9T5rW4rdHglDoH45yKju5OtdfRlztipVuw1DGomujt0xsrB3FuciIiogfFLuuElUduSB2hWssJ+Qeph3+Ay8NTofRuhqxzO5C45X/wnrQaClunYrdxG/UhoL8zR7c+NxNxa1+Hf++RsFCmIDIxGfuuXMeLDxUU52uOn0UzD1fgRjCc6+dg87+7ML7322UW4wDw9+Xt6BDQ11iMA8C2E6twPfYiXhg0Gy72ngiJOoctx5fD0cYFbf0K7mp1aTIQ209+i7jUCHjV80OQrDO6N74AyxulT2XVUKlEQ2XR6dSo9kof1Akr3dhVne44HnMcERkR8HP0kzoKERFRjcZB3eq4yBQ1joQmSh2jWss8+wfs2w2BXdvBULo2QL0hUyGztEL2pQMlbqNQ2UNh52z8yosIhMzSCpd9huJMywlI1wFejg5o4uGKJh6u8HJ0QGJWDgBg64F9aOqtQnN//zKzGQx6BN78B20a9jBZfivhCro1fRhNvdvDxd4TD7UcDh+XRrideGeAORsrewR4tsL58CMAAG2+AVfavwqDyg5EhWQN6+O9ThzEjUwJCGwI2SB1DCIiohqPBXkdt/5UBAx8aKFEQq+FJv4GrBu2Ny6TyeSw9muP/JhrJW94j+zg/bBt0QdypTX+zbDB5RZjkJyTi7ScXKTmqJGclQ1PRzskZ+fg7K1o9A/wgVa9BbZOuaXuNyb1JnI1OWjg1tRkub9HK1y6fRLpOUkQQuB6zEUkZkSjRf3OJu0aujfHjbhLxu9Tk3WIGvWJ2edFtZtMqcQ3o6yQIc+TOgpVQzvCdyBTkyl1DCIiohqNBXkdlqfVY8u5aKljVGt6dSYgDEW6pitsnKDPMW/O9vzYUGiTb8Ou7cPGZQl2AXDq/yJ+OBmI7/85g0faNIeHgz22nbuE4e2aIzQ+CR9v3IrZ3z+DOPWpEvedmpUAuUwOe5Xp89xjHpoGT+cG+OiX8XjjhyFYuXsWxj40HY2925q0c7RxQVq26SBd4bFWSH/0NbPOjWq3S6Pb4aiq5LnsqW7L1eXi9+u/Sx2DiIioRmNBXof9GRiLjFyt1DFqvezgA7B08ysyCJxlu2FQTfoJH37wKXo2boizEdGwsrRAQxdn/HYuGBN7dcbwts3w9dZPYeda/GMFWr0GFgolZDLTkdn/vvwHIhJCMHnIp5j5xCqM6vEqthz/Cteiz5tmsLCCRlf07mewri00Lbo94JlTTZbfrQ0+aVj6eAJEm65tgt6glzoGERFRjcWCvA77+VSE1BGqPYWNAyCTQ5+TbrJcr06HwrbsUcYNmjzkhPwDu7aDi10vIMPS9KaIafEwDlwJw+MdWiEyJR1u9rZws7dFY3dX6A0GXLn4Hdx8ik43ZWvtAI0uDzr9nQ9WNLp8/HVmDZ7o8Rra+PWEj0sj9G39ODo26odDQb+ZbK/Oz4SdtVOR/eo0Blxu+RIMdo5lniPVPnJXF3zYN07qGFQDxObE4nDUYaljEBER1VgsyOuo87fTcDmGz/6VRaawhNKzMfJu3xlhWggD8iKCYOXTvMzt1aHHIfRa2LbqX2q777b+gSYDxsLD3QMGIaC/68F+g8EAnVaL6Cub4O4babJdfZfGAID4tDvdivUGHfQGXZG75nKZHAIGk2WxqRGo79q42EzpKVpEjOTz5HWOXI7N4zwRqUiXOgnVEL9c/UXqCERERDUWC/I6av3JCKkj1BgOXR5HVtA+ZF86BG1yFFL3rYTQ5sGuzSBjm+SdS5D297oi22YH74dNk+5QqBxK3H/urYvQpsYgrsUT+MtvDFo0b47ErGyExCXiVHgkZDIZ3O3tIIQBkcFb4e57Z8Rre5UTfF2bIDz+zpznKqUtGnu1wx+nvsP12EAkZ8bhVOhenLl+AO38HjI5dnjcpSIDvd0tItYCacOnm3OZqJaIHtEJvzlwVHUy34XEC7iaclXqGERERDUS5yGvg5Kz87H7UrzUMWoM2xZ9oFdnIP34L9DnpEHpHgD3sZ+YdFnXZSYBMtPPt7Qp0ciPvgr3sZ+WuG+DNh+pB7+F28iZkMnkCM1RIslrHCYMScWWw4ehkMsxvms7WFrcmY88MngXfFurkRjTHjLI0LP5ozh9fT/6tn7c2ObFQR9hx+kf8NOh+VDnZ6GevQeGd30RD7UcYWxzM/4KcjU5aB/Qp9TzD85vge5tesPq0jFzLxnVUIaWjfF+i2CpY1AN9MvVXzC/93ypYxAREdU4MiEEJ72qY1YcDsPi/deljkGlsJAJvGl/DflBR0ts49OiO1ITeiBfq8GnmyfihYEfIcCzldnH+PHAp/BxCcCQjk+X2dbB2RIdD82CPDPF7P1TzSKzs8Wnk50QrCw6VgFRWawUVjg89jAclCX3BiIiIqKi2GW9jtEbBDaejiy7IUlKJ2RYnNkC2Z0fh1yhKLZNTMgpONY7BJXKAs/2n4mcvAzz96/XwtvFH/3bjjarfWaaFjeHzzF7/1TzHBnfjMU43bd8fT723tordQwiIqIah3fI65i9l+Px6i/ny25I1cZQ50y0Dt2B/JzsYte7NmgCjfYRaPIq/wmUdo434bJjSaUfh6pWxsCOmNSVXdXpwbR1bYsNwzZIHYOIiKhG4R3yOmbD6dtlN6JqZW+aA/YFjIWtm2ex65MjwyAX26Gyza/0LJeyGyGv/YBKPw5VHVkDH8zoHCZ1DKoFgpODcTPjptQxiIiIahQW5HVIQmYe/r2RLHUMug+Xsq2wpt5IOAS0KHZ9enwUtOotsHXKrdQcBr1AcMPx0NfzqNTjUBWxtMSqUSqkySv3dUN1x44bO6SOQEREVKOwIK9D/gqKhYEPKNRYSRoFFqEvbNo8VOz67NQkqJM3wNG1+K7tFSU7Q4vwof+DuGeec6p5roxpj8M2EVLHoFpkZ/hO6A16qWMQERHVGCzI65A/g2KljkAPSCtkWJjdBvmdhkMmL/rrm5uVidSo9XD2TK3UHNGxQPKo9yv1GFS5NF1b45MGF6WOQbVMYm4iTsadlDoGERFRjcGCvI64lZyD4GjzR+Gm6u27VF/c6jAOliqbIuu0eblIvLEBbj6VO2L2lXRf5HYZWqnHoMohd62HD/vGQ7CTA1UCdlsnIiIyHwvyOuLPQN4dr23+SnXCkSbjYOviVmSdXqtF9JVNcPetvCnuDAaBYK9R0Lv6VNoxqBLIZPhtrDduW6RLnYRqqSNRR5CpyZQ6BhERUY3AgryO+DMoRuoIVAkuZlnjZ7fH4eDXpMg6IQyIDN4Kd9/QSjt+TqYOYYM/5PPkNUjMyM7Y7HhN6hhUi3FOciIiIvOxIK8DLsdkIDwpR+oYVEli8y2wRDEQdq26Fbs+MngX3HwCIVA5I/rFxgkkPvlRpeybKpZo0Qjvt+B841T5doSz2zoREZE5WJDXARzMrfbLM8jwubojDJ0eAYq5Wx11+TBcPU9CJqucovxqqifUPUZWyr6pYshsbfH5o/nIl3EE7OLcnH8T6SfTq/y48VviEbu+9r1HX0q6hPiceKljEBERVXsWUgegyiWEwF8syOuMb1L98GTHsWhw6Q/oNPkm62JCTsGzsRpZmf2h1yoq9LjCAAS7DENnr2BYxEVU6L6pYvw9vhkClRV/dzwnNAfJu5ORezsXunQdGrzeAA6dHEzaJGxPQMbpDGhTtZBZyKDyU8HjSQ/YNCo6KOHd2yTtSDJZpvRUoumCpsbv4zbFIf14OmRWMniO9oRTTyfjuowzGUj/Nx0N32pY5jlkXsyELlMHx26OxmWpR1ORfjIdebfzYMgzoMU3LaCwNf29CX0nFNoUrckyj9EecBteMK6DJkmD6+9dL3K8gI8CYNO44NxdH3HF9feuw3WIK5TuyjKz1hQCAocjD+OpFk9JHYWIiKhaY0Fey525lYq4jDypY1AV2pZaD91aTEDf238iN910+rP4G8FwbZALjeIRaPIq9tdfna3D9b4z0eK31yHT6yp03/RgMgd0xAr3yumqbsg3wLqBNZz7OCPy6+IHEbTytIL3s95Quilh0BqQsi8FEYsj0HRhU1g4lPw6tPKxgt97fsbvZYo7vT8yL2Yi42QG/N71Q35CPmLWxMCujR0s7C2gV+uRsC0BfjP8iu60GCkHUuD8kDNk8jv7N+QbYN/GHvZt7JGwteQZC9xHucO5r7Pxe4Wq6IddfjP8YOVtZfzewu7OOVvYW8CutR1SD6fCc7ynWXlrChbkREREZWOX9VpuB++O10mnM1X41etJOPgGFFmXHBkGudgOlW1+MVs+mPh4A+KfnF3h+6X7J/P1wXtdwipt//Zt7eHxpEeRu+J3c+rhBLtWdlC6K2HtYw3PCZ4w5BqQF136h4UyuQyWTpbGLwv7O4Vsflw+bJvbQuWvglN3J8hVcmiSNAAKuoHXG1APSpey7zjrMnXICcmBfQd7k+WuQ1zhNtwNqkaqUreXW8tNMsqtiv6zqrBVmLSRWZg+VmLfwR7pZ9LLzFrTnE84j4x8TrdJRERUGhbktZhWb8CeS3FSxyCJROZZYJnVYNi36FxkXXp8FLTqLbB1yq3w44YkuSKn9+gK3y/dBwsLfPukCmnyiv853y+DzoC0o2mQq+Sw9rUutW1+Qj6uvXkNoe+FIurbKGhSNMZ11r7WyI3IhT5Hj9yIXAiNgJWHFXKu5yDvdh5cBruYlUcdpoZcKYeVl1XZjYuRvCsZIVNDcON/N5C0OwlCX3SchsjlkQh5PQQ3591E5sWi04HZ+NtAl6ozfqBQW+iEDn9H/y11DCIiomqNXdZrsTO3UpGm1pbdkGqtHL0cn+s74/WO9SAu7DdZl52aBL12Axw9xyMj2a7iDiqAIIfB6Fo/CBbRlXdnlsoWMrojDqkuSB0DAJAZmInoVdEwaAywcLSA33t+Jne872XTyAb1X64PKy8raNO1SNyRiFvzb6HxZ42hUClg38Ye6h5qhM8Nh0wpQ/1J9SGzkiH251jUf7k+Ug+nIuVgCizsLOD9gjesfYov/jXJGigcFCbd1c3lMtgF1g2tYWFnAXWYGvFb46HL0MFrgheAgrvnnuM9YdPEBpABmecyEflVJBpMbwCHDnd6FFg4F1wHbYoWSrfa8xw5ABy6fQgjG3HAx5pMr9dDq+XfEkRE5rK0tIRCYf54TSzIa7GjoYlSR6BqQECGr9IaYXznMfAM2gG99s5duNysTOi06+HqPw5p8fUq7Jh5OTpc6/UOWm6bDrmudt31qyk0XVphjl/1KMYBwK6FHRp90gj6LD1S/05F1MooNPpfoxKfIbdve6cLubWvNWwCbBD6bigyzmSgXt+C16rHKA94jPIwtkv8IxF2Le0gU8iQ9GcSGn/WGFlBWYj+LhqN5zYu9jhCKyC3vL/OYq5DXU0yyixkiPkpBh6jPSC3lMPC3sKkjU2ADXTpOiTvSTYpyAuPb9AY7itHdXYi9gRydblQWZTe9Z+qHyEE4uPjkZ6eLnUUIqIax8nJCZ6enpAVM/vRvViQ12J/X08quxHVGb+muKJP6/HoFv4n8jLTjcu1eblIvLEB3s3GIinGo+QdlFNigh71Rn8M718/rLB9knlkLvXwUb8EiPLf9K00cis5rDysAA/AprENrs+8jrR/0owjkpdFYauAlacVNInFf8CTH5uP9JPpaDS3EdKPpcOmmQ0sHCzg2NURMWtioM/VFzvgmsJOAb26YqaCUzVSAXpAm6wtsQu8KkCF7CvZJsv0OQXHL63HQE2Vp8/DiZgTGNhwoNRRqJwKi3F3d3fY2NiY9UclEVFdJ4SAWq1GYmLBjVEvL68yt6l9//oTACA2PRfXE7LLbkh1yj/ptoj1HY2xafuRFXtnRGy9VovoK5vg2+YJJEY1qLDjXUtwgkO/p2B3dGOF7ZPKIJPh93E+iLAIkTpJqYRBwKA1/46wPk8PTaLGZGoz476EQMxPMfAc7wmFtQLCIIzPcgvdf890l3AoVUMVdBk66HP0RaY1K6+823mADKWOHJ8XmQcLJ9P1eTF5kClksPK5v+fYq7tDkYdYkNcwer3eWIy7uJg3HgMRERVQqQp6hSUmJsLd3b3M7usc1K2WOhrKu+NUvBtqS3xjOxQOTduZLBfCgMjgrXD3Da24gwkgSNUHugbNK26fVKq4EV2wybHqinF9nh65t3ORe7tg4DhNsga5t3ONA7AZ8g2I3xoP9Q11wbqIXESviYYuTQfHrnfm/b618BZSDqbcOY9f45BzLQeaJA3UYeqCKdXkMJkrvFDa32mwsLcwdgO3aWKDnJAcqG+okbw/GVbeViUW29YNraGwUyAnLMdkuTZdW3Ae/92Rz4vOK5hrPbtgSj/1DTWS9yUjN7KgTfqJdMRtioNTTyfjsdKOpyH9VDryY/ORH5uPxL8SkXYsDS6DTAucnNAc2DS1gVxZO/9J/jv6b+gMnAqxJil8ZtzGxkbiJERENVPh+6c5Y3DwDnkt9fd1Pj9OJcvQKfA5euDN9i7QBh42WRcZvAu+rXORGNMOMjx4F8X8XD2udn8LbeLfgExT+jRX9GBEswDMbFk5842XJPdWLiIWRhi/j98UDwBw6uWE+pPqAzJAE6dB5PFI6LP1UNgpoPJXwf8Df5OB1jSJGuiy7hRtulQdor6NKtjGXgHbJrYImB1Q5O6zLkOHpL+SEPDRnSn+bAJs4DrUFbeX3oaFgwV8JvmUmF8ml8G5tzMyTmbAof2d57pTj6QiacedDzZvfX4LAODzkg+ceztDZiFDxukMJP6RCKETULop4TrEFS5DTIvtpD+ToEnWFNwB97KC7xRfOHYx/VAh43QG3B93LzFjTZepycS5hHPo7tVd6ihUTuymTkR0f8rz/ikTQhSdo4VqNK3egA6fHEB2Pu9IUNmec4mH88W/YNCbvl58WnRHakIPiAp6ELmpZzbq/zqzQvZFRclsbLDgNRecV3Kqw/LSpmtx48MbaDS3EZSuVTvKeVZwFuJ/jUfjTxtDpqi9xc8LrV7A253fljoGmSkvLw+3bt2Cv78/rK1Ln56QiIiKKs/7aO3sH1fHnYtIYzFOZvs5xROX206AlZ29yfKYkFNwrHcICsuKGfDqerwdsgZNrJB9UVH/jmvBYvw+WTpZwudFH2hTqn5qJ0O+AT4v+dTqYhwATsefljoC1UFLlixB/fr1YWFhgYiIiDLbr1u3Dk5OTpWeqy7z8/PDsmXLpI5x3+bOnQtra2u0b98ep0/zfY0qBrus10IcXZ3K61C6HWL9xuLx5L3Ijo8xLo+/EQzXBrnQKB6BJu/B3y6CLLqja6MLUIZXbbfq2i6rfwcs8wySOkaN5tDJoexGleDe7uu11bXUa8jUZMJBKc11porj9/6uKj1exIJh97Vdbm4u3n//fbz33nt47bXX4O3tbVzXr18/TJw4Ef369YO/vz/YWVQ6fn5+WLduHQBg4sSJZn1wUmjOnDn4448/EBgYWCnZivPOO+9g3LhxeOGFFzBv3jz8+eefVXZsqr14h7wW4vzjdD9CcpRY7TAMDo1bmSxPjgyDXGyHyjb/gY+hydPjasepMFjbPvC+qIDMxwszuoZLHYOoVAZhwNn4s1LHoDokKSkJOp0OTzzxBHx9fcsc5ZiK0uv1MBiKTlGh0RQ//WR1Zc6gWuays7ND8+bNMWDAAMTExJS9AZEZWJDXMgmZebgWnyV1DKqhUrUKLDT0hnW7PibL0+OjoFVvga1T7oMfI0mH6FFzH3g/BMDCAj+MtkeKXC11EqIynYk7I3UEqkMKC0kLi/L37tq3bx9atGgBOzs7DB06FHFxdx4HOnv2LAYPHgxXV1c4Ojqib9++uHDhgnG9EAJz5sxBgwYNYGVlBW9vb0yfPt2s46alpeG5556Ds7MzbGxs8MgjjyAsLMykzb///ot+/frBxsYGzs7OGDJkCNLS0oznvGjRIjRu3BhWVlZo0KAB5s2bBwA4evQoZDIZ0tPTjfsKDAyETCYz3pUu7LL/559/omXLlrCyskJkZCT8/Pzw6aef4rnnnoODgwNeeeUVAMDx48fRu3dvqFQq+Pr6Yvr06cjJuTNjRWJiIkaMGAGVSgV/f39s2LDB/B9CGdatW4e5c+ciKCgIMpkMMpnMeKddJpNh1apVGDlyJGxtbTFv3rxiH0f4448/igy8tWPHDnTs2BHW1tYICAjA3LlzodMVfQzU0tISen3FPNJHxIK8lvmb053RA9IJGb7IbAV158cgv+uOQnZqEtTJG+Do+uDz29+IUyFj6CsPvJ+6LnR0B+yzuSl1DCKznIlnQU5VJy+vYFYPS0vLcm2nVquxePFirF+/Hv/88w8iIyPx7rvvGtdnZWXh+eefx/Hjx3Hq1Ck0adIEjz76KLKyCm6GbNu2DUuXLsXq1asRFhaGP/74A23atDHr2BMnTsS5c+fw559/4uTJkxBC4NFHHzXe4Q0MDMTAgQPRsmVLnDx5EsePH8eIESOMheGsWbOwYMECzJ49G1evXsXGjRvh4eFR7vNfuHAhfvjhB1y5cgXu7gUzQCxevBjt2rXDxYsXMXv2bISHh2Po0KF48sknERwcjM2bN+P48eOYNm2ayflERUXhyJEj2Lp1K1auXInERPN6cUZEREAmk+Ho0aPFrh83bhzeeecdtGrVCnFxcYiLi8O4ceOM6+fMmYNRo0bh0qVLePHFF8065rFjx/Dcc8/hjTfewNWrV7F69WqsW7fO+KHG3SwtLZGf/+A9B4kAPkNe6/D5caooa1K88Uj78WgZ8gc06oJPvHOzMqHTroer/zikxdd7oP0HGTqge7MuUIayG+v90HZqif/5XZQ6BpHZbqTfQEpuClxULmU3JnoAer0ev/76K1QqFRo2bFhk/d1F3r3Pj2u1Wnz77bdo1KgRAGDatGn45JNPjOsHDBhg0v67776Dk5MT/v77bwwfPhyRkZHw9PTEoEGDYGlpiQYNGqBr165lZg4LC8Off/6Jf//9Fz179gQAbNiwAb6+vvjjjz8wZswYLFq0CJ07d8bKlSuN27VqVfCYWVZWFpYvX44VK1bg+eefBwA0atQIDz30UJnHvvf8V65ciXbt2pksHzBgAN555x3j9y+//DKefvppvPnmmwCAJk2a4KuvvkLfvn2xatUqREZGYs+ePThz5gy6dOkCAFizZg1atGhhst+7nxm/+/8tLS3RrFkz41zO91KpVLCzs4OFhQU8PT2LrH/qqafwwgsvlOfUMXfuXLz//vvG6xcQEIBPP/0UM2bMwMcff2zStmnTprhx4wbOnj1rPD+i+8U75LXM6VspUkegWmRPqgMONBoLW7c7/9hp83KReGMD3HwSHmjfOo0BV1q/DIMtB3kqL5mzE2YPSEIFzUhHVGV4l5wq27Fjx2BtbY358+fjhx9+gJ2dXbm2t7GxMRbjAODl5WVyVzchIQGTJk1CkyZN4OjoCAcHB2RnZyMyMhIAMGbMGOTm5iIgIACTJk3C9u3bi+3yfK+QkBBYWFigW7duxmUuLi5o1qwZQkJCANy5Q17S9vn5+SWuN5dSqUTbtm2LLO/cubPJ90FBQVi3bh3s7OyMX0OGDIHBYMCtW7eM59OpUyfjNs2bNzd7FHsfHx9cu3bNrA8zinNvXnMEBQXhk08+MTmnSZMmIS4uDmq16aNho0ePxrhx49C1a1c0b978vjISFWJBXotEJOcgObtmDbRB1V9wtjV+rDcSDv53/sHRa7WIvrIJ7r6RD7TvtBQdbj/G58nLRSbDH+N9cdMiTeokROV2Oo7TBFHl6ty5M86fP49x48bh3XffLfcAZPd2cZfJZCZ30Z9//nkEBgZi+fLlOHHiBAIDA+Hi4mI8jq+vL0JDQ7Fy5UqoVCpMmTIFffr0qZCBxVQq1X2tAwC5vOBP/rvPpbhMKpWqyHPVAGBrazoYa3Z2NiZPnozAwEDjV1BQEMLCwkw+0JDKvXnlcnmxvSHulp2djblz55qc06VLlxAWFlZkHumjR49i06ZNWLNmDXbtqtqZB6j2YUFei5y7zT/QqXIkahRYLO8LmzY9jcuEMCAyeCvcfUMfaN+3YpVIGzb1QSPWGfHDOmODU4jUMYjuCwtyqmwqlQpt27bFjBkzEBcXh5s3K3acjX///RfTp0/Ho48+ilatWsHKygrJyclFMowYMQJfffUVjh49ipMnT+LSpUul7rdFixbQ6XQmc1unpKQgNDQULVu2BAC0bdsWhw4dKnb7Jk2aQKVSlbjezc0NAEwGqHuQ6cI6duyIq1evonHjxkW+lEolmjdvDp1Oh/Pnzxu3CQ0NNRlU7kEplUqzB1Zzc3NDVlaWyaBz955/x44dERoaWuw5FX6gUejUqVPw9/fHiy++WC0+gKCajQV5LXL+dqrUEagWyzfIsTC7HbSdhkEmu/PWERm8C24+gRC4/3lcL2laQ9OyR0XErN2a+mNG69L/qCOqzqKzoxGbHSt1DKoD7O3tAdwZ3K2iNGnSBOvXr0dISAhOnz6Np59+2uTu9Lp167BmzRpcvnwZN2/exC+//FLis+z37vexxx7DpEmTcPz4cQQFBeGZZ56Bj48PHnvsMQAFg7adPXsWU6ZMQXBwMK5du4ZVq1YhOTkZ1tbWmDlzJmbMmIGff/4Z4eHhOHXqFNasWQMAaNy4MXx9fTFnzhyEhYVh165dWLJkyX1fh5kzZ+LEiROYNm0aAgMDERYWhh07dhgHdWvWrBmGDh2KyZMn4/Tp0zh//jxefvnlMu/kF4qJiUHz5s1x5kzJj7n4+fnh1q1bCAwMRHJycqmDrHXr1g02Njb44IMPEB4ejo0bNxpHZS/0v//9Dz///DPmzp2LK1euICQkBL/++is++uijIvvLz88v9+MQRCVhQV6LnIvgHXKqfN+mNkBkx7GwvKv7VtTlw3D1PAmZ7P6Kcp3WgEvNX4DB/sEGiqvNZCoVFg3XI09W9rOIRNXZxUQORkiVr3De8eLm0X4Qa9asQVpaGjp27Ihnn30W06dPN45EDgBOTk74/vvv0atXL7Rt2xYHDx7EX3/9BReXsgczXLt2LTp16oThw4ejR48eEEJg9+7dxm70TZs2xf79+xEUFISuXbuiR48e2LFjh3Fqt9mzZ+Odd97B//73P7Ro0QLjxo0zPv9uaWmJTZs24dq1a2jbti0WLlyIzz777L6vQ9u2bfH333/j+vXr6N27Nzp06ID//e9/8Pb2Njkfb29v9O3bF0888QReeeUVk2tVGq1Wi9DQ0CLPbt/tySefxNChQ9G/f3+4ublh06ZNJbatV68efvnlF+zevRtt2rTBpk2bMGfOHJM2Q4YMwc6dO7F//3506dIF3bt3x9KlS4v9MEWv13Nue6owMnHvAxVUI2WotWj/6X7wp0lVpbN9LgZG74Q69U5XPc/GbZGV2R967f39I9XQW4dGG9+oqIi1ysmJnbDUK0jqGEQP7NmWz2JGlxlSx6BS5OXl4datW/D39y/y7GxNkZ+fD5VKha+//hpTp/KxKKo4Go0Gjz32GBQKBXbu3Cl1HKqmyvM+yjvktcSFqDQW41SlzmWpsMF9FBwaNjYui78RDJX1biit7+8u7u1YC6SMfKuiItYa2X07sBinWuNK8hWpI1AdYGVlhenTp2P69OmwsrIyjoJO9CDmz58PlUpl7K5PVBFYkNcSQVHpUkegOig63wJLLAbBruWdaUmSI8MgF9uhsi35Wa7SXFY3QX67fhWUsOaTeXtiRveKHZSISErXUq/BICq2GzFRcZYtW4aMjAxcu3bNpCu1FI4dO2Yynda9X1QzvPrqq4iIiEBKSgqGDh0qdRyqJSykDkAVIzg6Q+oIVEflGWT4PLcTpnWsB9nFfYAQSI+Pgl29LbB1Go2cdPMGcCmk1wkE+z+FThGXIc9ILnuD2szCAmtGOyJZXsevA9Uqap0atzJuoZETRyamylddCt7OnTs/0KjmVD3Uq1cP9epxvBuqWLxDXksER6dLHYHquBVp/ojvNAYWSisAQHZqEtTJG+Doml3ufWWlaxE+bE4FJ6x5rj/REXttw6WOQVThrqSw2zrVLSqVqtjptAq/iKjuYkFeC0SnqZGcrZE6BhF+S3HBqZYToHIq+PQ4NysTqVHrUc+z/FPyRcXKkDyq7g78pOvYEh834mjUVDtdTbkqdQQiIqJqgQV5LRAUxe7qVH2czFBhi/eTcKjvBwDQ5uUi4cYGuPoklHtflzP9kNdxcAUnrP5kzk6YPTAZ+geY252oOuPAbkRERAVYkNcCwTHpUkcgMhGRa4Hl1kNg37wjAECv1SLmyia4+5ZvlFuDXiCo/mjoXbwqI2a19ef4Bgi3KH+vAqKaIjQtFHqDXuoYREREkmNBXgtcj8+SOgJREdl6OT7P7wpFh0EAACEMiAzeCnff0HLtJydThxtDPoKQySojZrWTMKwL1juxOy/Vbrm6XIRncHwEIiIiFuS1QHhSjtQRiIolIMOy9CZI7TwaCktLAEBk8C64+QRClKM7dkwskPzEB5UVs/po4o+ZrS9LnYKoSrDbOhEREQvyGi9Pq0d0mlrqGESl2pDihsDWE2Dt4AgAiLp8GK6eJyGTmV+UX07zRm7XYZUVUXIylQpfjNBDLddKHYWoSlxLvSZ1BKrllixZgvr168PCwgIRERFltl+3bh2cnJwqJUtl7rsyyWQy/PHHHxW6z379+uHNN98stY2fnx+WLVtWocctTXx8PAYPHgxbW1uzf04V/TNdt24dlEolmjdvjp07d1bYfqn64zzkNdyt5BwYOO4T1QBH020R7TsGY1P3ISsuCjEhp+DZWI2szP7QaxVlbi8MQJDHSHRxvwRFYvmeRa8JTo1rhbNWgVLHIKoyEZkRUkeg+zHHsYqPd38D1+bm5uL999/He++9h9deew3e3t7Gdf369cPEiRPRr18/+Pv7Q4iCP6TGjRuHRx99tEJiVwSZTIbt27fj8ccflyxDXFwcnJ2dJTu+udatW4d169bh6NGjxp/vxIkTzd5+6dKliIuLQ2BgIBwdq/g1/p9x48ahT58+ePvtt/HBBx9g+PDhkuSgqsc75DVceFL553gmksoNtSVW2j0Kh6ZtAQDxN4Khst4NpbXOrO3VWTpcHzgLQl52AV+T5PTpgCVegVLHIKpStzNvSx2BarGkpCTodDo88cQT8PX1hUJR9r8bKpUK7u7uVZCuamm199/zytPTE1ZWVhWYpnoKDw9Hp06d0KRJE8leAyqVCgEBARg2bBhiYmIkyUDSYEFew4Un8vlxqcVvmImcq0er/LhZF3cjcevcKj/ug0rXyfG5tieU7foBAJIjwyAX26GyzTdr+7g4AxKenF2JCauWzNsTM7vfkjoGUZWLy4mDRq+ROgbVUgaDAQBgYWF+Z9B7uyAHBQWhf//+sLe3h4ODAzp16oRz586Zva8GDRrAxsYGo0aNQkpKSpE2O3bsQMeOHWFtbY2AgADMnTsXOl3BB9R+fn4AgFGjRkEmkxm/L2s7oODO+qpVqzBy5EjY2tpi3rx5mDNnDtq3b48ff/wRDRo0gJ2dHaZMmQK9Xo9FixbB09MT7u7umDdvnknGu7usR0REQCaT4ffff0f//v1hY2ODdu3a4eTJk8b2KSkpmDBhAnx8fGBjY4M2bdpg06ZNRc5dp9Nh2rRpcHR0hKurK2bPnm3sqVCc9PR0vPzyy3Bzc4ODgwMGDBiAoKCgMn8O5vDz88O2bdvw888/QyaTGe+sf/nll2jTpg1sbW3h6+uLKVOmIDu75BthZb1ejh8/jt69e0OlUsHX1xfTp09HTk7Rv+MtLS2h13MWirqEXdZruJp8hzwv6jIyT2+DJiEc+uxUuI36EDZNe5i0Sd61FDmXD5kss/bvCI+xn5S436yLu5F1cTd0GQXzXlu6NoBTzwlQNepsbJN66HvkXD4EmaU1nPo+D7tW/Y3rcq4dR87lQ3Af/XGZ56AOOw29Oh02LfrcOX7gXuRcPQpNQjiEJhe+b/wKubXdnfOODEbCpuIHKPN87ktYeTUFAAghkHlmO7KD9kKXmQiFygH2HYbBsec4AIBd28HIOPEr8qIuw9q3dZlZqxMDZFiS2QITOzvD8eJfSI+Pgl29LbB1Go2cdFWZ24cku8Gh1yjY/Lu9CtJWIgsLrB3tiERFstRJiKqcQRgQmRmJxs6NpY5CtVBeXh6AguLmfj399NPo0KEDVq1aBYVCgcDAQLP2d/r0abz00kv4/PPP8fjjj2Pv3r34+GPTvymOHTuG5557Dl999RV69+6N8PBwvPLKKwCAjz/+GGfPnoW7uzvWrl2LoUOHGu/wl7VdoTlz5mDBggVYtmwZLCws8OOPPyI8PBx79uzB3r17ER4ejtGjR+PmzZto2rQp/v77b5w4cQIvvvgiBg0ahG7dupV4fh9++CEWL16MJk2a4MMPP8SECRNw48YNWFhYIC8vD506dcLMmTPh4OCAXbt24dlnn0WjRo3QtWtX4z5++uknvPTSSzhz5gzOnTuHV155BQ0aNMCkSZOKPeaYMWOgUqmwZ88eODo6YvXq1Rg4cCCuX7+OevXqlfrzmDhxIiIiInD06NFi1589exbPPfccHBwcsHz5cqhUBX+HyOVyfPXVV/D398fNmzcxZcoUzJgxAytXrix2P6W9XsLDwzF06FB89tln+PHHH5GUlIRp06Zh2rRpWLt2rcl+LC0tkZ9v3k0Kqh1YkNdwNbkgF5o8WLoHwK7tYCRtn19iO2v/TnB99M07CyxK/8dQYe8C577Pw8K54Hmx7MuHkPj7Z/CauBxKt4ZQ3ziNnJC/4T72U+jSYpGyZzlU/h2hsHGEIT8H6f/8DI/xn5l1Dlnn/4Rdm0GQye50NhHafKgCOkEV0Anpf/9UZBsrnxaoP3W9ybL0Y+uRdzsISs8mxmVph75D7q2LcO7/EizdGsKQlw1D7p0p7mQKS9i27Ies83/VuIK80LoUTzzcdjzaXv8D2alJ0Gs3wNFzPDKS7UrdTgggyGkounoFQhFXc+8u33iiI3bbXpA6BpFkbmfeZkFOFU6v1+PXX3+FSqVCw4YNi6y/uzAr7a5sZGQk3nvvPTRv3hwA0KRJkxLb3m358uUYOnQoZsyYAQBo2rQpTpw4gb179xrbzJ07F++//z6ef/55AEBAQAA+/fRTzJgxAx9//DHc3NwAAE5OTvD09DR7u0JPPfUUXnjhBZNcBoMBP/74I+zt7dGyZUv0798foaGh2L17N+RyOZo1a4aFCxfiyJEjpRbk7777LoYNG2bM06pVK9y4cQPNmzeHj48P3n33XWPb119/Hfv27cOWLVtMCnJfX18sXboUMpkMzZo1w6VLl7B06dJiC/Ljx4/jzJkzSExMNHafX7x4Mf744w9s3boVr7zyiskz4/cW3l5eXsYeE8Vxc3ODlZUVVCqVybW+e+A5Pz8/fPbZZ3j11VdLLMhLe718/vnnePrpp437bNKkCb766iv07dsXq1atgrW1tbFt06ZNkZeXhx07duCxxx4rMTfVHizIazAhBG7W4CnPVI06m9y1LonMwhIKO/MHFLFpbPqPiHOf55B9cTfyY0OhdGsIbUoUrH3bwMqrCay8miD10PfQZSRAYeOItCNrYd/hUVg4lP38kF6dgbzbwXAe+IrJcocuBW+eeZHBxZ+PwvR8hF4H9Y3TsO84HLL/5trWJkch6+JueL/4DSxd6peYQdW4KxI2fwSDNh9yy5r5jNf+dHtE+4/FY0l7kZ0QC512Pdz8xyE1vvRPvHNzdLjWdyZa/jYNMr15z6BXJ7oOLTC70UWpYxBJ6nYWnyOninXs2DEMGDAAMpkM69atg51d6R/wlubtt9/Gyy+/jPXr12PQoEEYM2YMGjVqVOZ2ISEhGDVqlMmyHj16mBTkQUFB+Pfff026iOv1euTl5UGtVsPGxqbYfZu7XefORf++8vPzg729vfF7Dw8PKBQKyOVyk2WJiYmlnl/btm2N/+/l5QUASExMRPPmzaHX6zF//nxs2bIFMTEx0Gg0yM/PL3I+3bt3N/7NU3h9lixZAr1eX+R5/6CgIGRnZ8PFxcVkeW5uLsLDw0vNChQUw/fj4MGD+Pzzz3Ht2jVkZmZCp9OV+vMp7fUSFBSE4OBgbNiwwdheCAGDwYBbt26hRYsWxuVdunTBrFmz8Pjjj8PKysrY24NqLz5DXoPFpOciV1v7nzHJi7yEqK+fRsz3k5Gy7xvoczPN3lYY9Mi5+jcM2jxY+RR8Yql084cm/gb0ednIj78BocuHhbM38qKvQJMQDvtOI8zad370FcgsrWDp6ntf51VIfeM0DLlZsGsz+M6y8NOwcPJEbvgZRH/7EqJXvYiUPV9Bf9cdcgBQejYGDAZo4kIfKIPUruZY4TvH4XBo1AravFwk3NgAV5+EMrdLiNcjfvScyg9YwWROjvh4YCr05ZiLnag24sBuVNE6d+6M8+fPY9y4cXj33Xeh0dz/OAVz5szBlStXMGzYMBw+fBgtW7bE9u0V86hUdnY25s6di8DAQOPXpUuXEBYWZnK39H63s7W1LbLtvd3tZTJZsctKu5t8734Ki+rCbb744gssX74cM2fOxJEjRxAYGIghQ4Y80M8hOzsbXl5eJuccGBiI0NBQvPfee/e939JERERg+PDhaNu2LbZt24bz58/jm2++AYASz6W010t2djYmT55skj8oKAhhYWFFPuQJCwv7f3v3HVdV/fhx/HXhMu5lyBQcgKiIODDcI9NME1eONCtnP00bfsnM0pZpWWZpacOyMi1z1LfpN1tqWq7MvQdOzFBwi+zx+4O8RaCiAocL7+fj4SO599xz3vdeIN/38zmfw9SpU5k4cSKbN+uD+/JAI+R27IAdj44XliW0IdZaLTF7BZB5Jp6zv35Mwn+fI7D/FExXWGk7PfEwx+eOJiczHZOzhYo9n8bZLzh3n9Ub4Va3Lcc/ehST2Rm/Lo/i4OTC6R9n4Nvl0dxz0Dd9i6PFE5+OI3D2zz/dDSDzXCKObl55pqtfj6RtP+EaGoXZ0+/vfZ89Tua5BC7uWY1fl0chJ5vTyz4g8etJBN7z9/R+BydXHFysZJ5LvKEMpcGpDEdeMbXm0UgfUrat5NjOBQTV70XC0eArPm53gjcebfri/sunJZT0xn17dzVinXYaHUPEcIfPHTY6gpQxFouFyMhInnjiCT755BMOHjxom0J8PWrVqkWtWrV49NFHueeee5g9e3a+0e9/i4iIYN26dXlu++233/J83bBhQ/bu3UvNmpc/ZaOgxb0K8zgjrV69mu7du9O/f38gt6jv27ePOnXq5NmuoNcnLCyswNXwGzZsyPHjxzGbzXkWtytOGzduJDs7m6lTp9pmEHz22WdXfdzlvl8aNmzIrl27CvW+bdiwgZycHJ566qk8swik7NIIuR07kGC/548XlludNljDmuHsXw1rrRb4936O9PhYUuO2X/FxTj5VqHTfGwQOfA2PqE6cXPw66Sf/vna11839qDL8fSoPeRtrrZacW/tfXKvdhMnBkXNrPyWw3yu4R97OqcWvXfYYOZlpmBydb+j5ZZ4/SeqhzbhH3v6vnedAVgZ+XUfhGlQP1+BIfDvFkBa3jYxTf+TZ1GR2JiezbCz+kZFj4pUL9UhtfAeYIG7b51QMusrofw5sdbuVjODwkgl5gxI6N+Yjb5VxEdAIuRSfS1Ozr3e6b0pKCiNGjGDFihUcOXKE1atXs379+jxTiy8nJiaGH374gSlTphAbG8tbb72VZ7o6wLhx4/j444+ZMGECO3fuZPfu3SxcuJBnnnnGtk21atVYtmwZx48f58yZM4V+nJHCwsJYsmQJa9asYffu3QwfPpwTJ/LPeIuLi2PUqFHs3buXBQsW8Oabb/LII48UuM/27dvTokULevTowU8//cThw4dZs2YNTz/9dKFWvX/yyScZOHDgNT2PmjVrkpGRwZtvvsnBgweZO3cu77777mW3v9r3y5gxY1izZg0jRoxgy5YtxMbG8s033zBixIh8+7o0xV9lvPxQIbdjB0+W/UL+b05egThYPMk8G3/F7UyOTjh5V8YlsCbebQbjXDGUCxsWFbhtxqmjXNy1HK/W/UmN245r1Xo4Witgrd2a9BMHyE5LLvBxDhZPstNu7D1I2r4EB4tHvvPeHd18wMERJ58qttucfHOnxmeezzsanp2ahIPF84ZylDbvn6rCgZvuxsliJW7bYvyrbCHnCtO705Kz2NPiUbKdS/l59DWr8UR9lXGRS06lnuJiRtmf7SUl79JI69WmX1/p8adOnWLgwIHUqlWLu+66i06dOjFhwtUvN9q8eXPef/99pk+fToMGDfjpp5/yFeaOHTvy7bff8tNPP9GkSROaN2/O66+/nmcRuqlTp7JkyRKCgoKIiooq9OOM9Mwzz9CwYUM6duxI27ZtCQwMpEePHvm2GzhwICkpKTRt2pSHH36YRx55xLZa/L+ZTCa+++47brnlFu677z5q1arF3XffzZEjRwgICLhqpvj4eOLi4q663T81aNCA1157jcmTJ1OvXj3mzZt3xXPRr/b9EhkZyS+//MK+ffto3bo1UVFRjBs3jsqVK+fbV0Hn0UvZZsq50vKSUqr935z1/Lznygtv2Isjk7sWeNmzf8s8f5Jj79yHf69nsIZdfgXQfzu+4CnMnv6507//IScnhxMLnsSzaU+sNZtxfv3XpB7dQcVez5CdmsTR6Xfnu2zZJWnxsRz/eBRVH1mAYwH3X7q82eUen5OTw58zh2Kt1RLvdkPy3JdyaBMJn42j8rD3cfLOXTAlPeEg8bNjqHz/TFtRzzgTz5/v3Z9nu7LkJvdUouO/4+LJE1SJaM7pEy3Iybn8J8bhgeepsvDJEkxYeCaLK1MeDGCdyzGjo4iUKgu7LqSub12jY8g/pKamcujQIUJDQ694PnNplpaWhsVi4c033+Thhx82Oo5IoWRnZzN8+HDWrl3Ljh07jI4jN+Bafo9qhNyOJV6w72nK2ekppJ84SPqJgwBknjtB+omDZJ5PsN1/ZvmHpB3bQ+a5E6Qc3kLily9g9q6EJbShbT8nFj7F+Y3/s3195pc5pB7dkbu/xMOc+WUOaXHbcavTNl+GpK0/4mjxtI1Qu1SJIPXINtKO7eH8+m9w8g0usEwDOAdUx8HqSdofu/LcnpV0hvQTB8k4kzuKn554mPQTB/MtyJZ6ZCuZ507g3uBf09UB12o34RxQg1PfTyf9xAHSju/n1A9v41otKs+oedofOzF7BZbJMg6wJcmVj/y641ktnGO7f6OCzzIcnS6/kOHe455caNe/BBMW3u931VMZFylAfNKVZzyJXA8XFxdiYmKIiYnBxcXlmkdIRUravHnzcHFx4ZNPPmHUqFFGx5ESpEXd7Ji9F/L047GcWPCU7eszP38AgFu923JHsk0OpCccImnHMrJTL+Lo7oMlNAqv1v0x/eNa5BlnjuPyj5XXsy6e4+S3r5F18TQOLm44+1ej4l3PYwmNynP8rItnOLf2MwL7v2q7zaVyOJ5Ne5Lw+QQcrBXyjaj/k8nBEff67bm4awXWmn9fW/PClu84t3qB7esT88cC4Nt5JO7129tuT9q2BJcqEbap6Hn2bXLA/85xnFk6k+Pzx2JycsES2jjfSPrFXb/g3qDjZTOWBfFpjkx1vJWR9Xw4vmMtfsEppDt2Ij214F9fW11uplnoFpwOlZ5Pli+2volXK28xOoZIqXQi+epXVBC5HtOmTWPixIkkJiYWODX4enXq1ImVK1cWeN9TTz3FU089VeB9Ildyxx13sH//fipVqoSz842tUST2RVPW7VROTg5hT39PZrbePiNlJZ3hz1kPUWnwdMwVrn7t8qKUnniEEwufpsqwmTi45L+8SVn0oM8RnDb9QIWAKpjMd5ByseBzxn39zUQuGokpLaWEE+ZnqhTAwwNTSXDQebIiBRlSbwgjG400Oob8Q1mYsl6cjh07RkpKwf9/8fHxwcfHp4QTiUhpcy2/RzVCbqdOX0xXGS8FHN298e0UQ+b5hBIv5FkXz+Resq2clHGAd06H0LPhXTju+BpX989w8+rNxbOWfNudSszkaK/nCV5QPNcnLTRHR+b09ibBYb+xOURKscQU+79so5QvVapUufpGIiKFpHPI7VSCnU9XL0ustVrgGlSvxI9rqXYTluqNSvy4RvvqtDera99NdnY2ySfnUcGv4JXu98dbOX/7kALvKykHejVisbvKuMiVJCSXjcVJRURErocKuZ2y9/PHRW7E7+ctzA/shZO3P6ePzsUn8HSB2201NSajZlSB9xW3rAa1eabmZkOOLWIPrGYrwdZKVESX9xERkfJLU9btlEbIpbw7mmrmdaf2PFJ9Eydi51Ep/C5OHst7PdKMtGx23vQAkccewyHlxq4Zfy1MXhUYd/sZsq5w7XSRssjsYMbXxQs/Jw/8HFzxM5nxzQa/zAz80lPwS0nCL/k0vhdOYk3/a9VrSyzkv9iEiIhIuaBCbqc0Qi4CydkOTEppTEx9H45tWUBQvV4kHA3Os83pk5kc7fk8IfNL7hIi3/WtRqx5Z4kdT6Q4mTDh5eyJr7MnfmYLfiZn/HJM+GVl4Zuehl9aEn7J5/C7kEiF5LOYrvWDqJQzkJUJjvoniYiIlD/6v5+dSriQanQEkVLjjTPV6dvwThy3fUPl2h1IOBqe5/4Df7pQofODeH33TrFnSezUmNk+W4r9OCI3ymq24udcAT8nN3wdXPDLccAvOwe/jDT80lLwTTmH38XT+F5IxJx9pBiT5EDySfAILMZjiIiIlE4q5HZKI+QieX16yo+b69xDy0Pf4B+UQsKxBpgw2e7flhlJ84hmOO9eV3whaoQwpsGu4tu/yFU4OTjh41Lh2qaMlwYXE1XIxW4dPnyY0NBQNm/ezE033cSKFSu49dZbOXPmDF5eXgU+Zs6cOYwcOZKzZ8+WaFYRKX1UyO2UCrlIfqvOWfmzSm/uPrMEv8BkTp9oQU5ObinPTM9mR50h3HR0Dw5J54r82CZXV167w0SSKb3I9y3lmwkT3i4V8HXywM9sxc/khF+OCd/MLPwyUvFLu4jvjUwZLw0u6tJn9qL+R/VL9HjbB22/pu0HDx7M2bNn+frrr4snUCG0bNmS+Ph4KlSoYFgGEbEfKuR2KjFJhVykIAdTnHjLGs2I7N+p4LOMC+dvJSsjdxXns6cyOHzH81Sf/0iRH3f9XfVY67qlyPcrZZeb2YqfSwV8zW742aaMZ+OXkYFv2sXc87IvnsYn6WQxTxkvBVLPG51ApMg4OzsTGFj0Mz4yMjJwcnIq8v2KiLF02TM7dT4l0+gIIqXW+UwHJqU346SHP1bL9zi7/v3zcvhPM2e6xhTp8ZJvbsArVbYU6T7FPjk5OBFo8aeeZyhtvSK407s+wyvU52m32rxuDmFupg/fnYPfj53kt9g9fLtjHR9t+Zmpm77nyc2LuX/r9/TctZRbDqylTvwuKp4/jjm7HPy+T79odAIpo9q2bUtMTAxPPPEEPj4+BAYGMn78eNv99957L3379s3zmIyMDPz8/Pj4448B+OGHH7j55pvx8vLC19eXrl27cuDAgcsec8WKFZhMpjzT0efMmUNwcDBWq5WePXty6tSpK+Y+fPgwJpOJTz/9lDZt2uDq6sq8efMA+OCDD4iIiMDV1ZXatWszY8YM2+PS09MZMWIElSpVwtXVlZCQECZNmmS732Qy8c4779CpUycsFgvVq1fn888/z3Ps7du3065dOywWC76+vgwbNoykpL+vVDJ48GB69OjBlClTqFSpEr6+vjz88MNkZGTYtpkxYwZhYWG4uroSEBBA7969bfdlZ2czadIkQkNDsVgsNGjQIF8GkfJEI+R2Ki0jy+gIIqVaDiZeP1uL/v5e1IhfhKNbF1IuugCwLS2C5vVb47J95Q0fxxRYkbEty/joZTl31Snjqf9YZTzlrNFx7ZMKuRSjjz76iFGjRrFu3TrWrl3L4MGDadWqFR06dKBfv3706dOHpKQk3N3dAfjxxx9JTk6mZ8+eAFy8eJFRo0YRGRlJUlIS48aNo2fPnmzZsgUHh6uPba1bt44hQ4YwadIkevTowQ8//MBzzz1XqOxjx45l6tSpREVF2Ur5uHHjeOutt4iKimLz5s3cf//9uLm5MWjQIN544w0WLVrEZ599RnBwMEePHuXo0aN59vnss8/y8ssvM336dObOncvdd9/N9u3biYiI4OLFi3Ts2JEWLVqwfv16EhISGDp0KCNGjGDOnDm2fSxfvpxKlSqxfPly9u/fT9++fbnpppu4//772bBhAzExMcydO5eWLVty+vRpVq78+/+3kyZN4pNPPuHdd98lLCyMX3/9lf79++Pv70+bNm0K9bqIlCUq5HYqNVOFXKQwPjlVkXYVW3Pzye9x8+rIxbMWsjKy2V5zAA2P7MLh/JVHKa7I0ZG5fXw57hhbdIGlxGjKeCmSnnT1bUSuU2RkpK0Ah4WF8dZbb7Fs2TI6dOhAx44dcXNz46uvvmLAgAEAzJ8/nzvuuAMPDw8A7rzzzjz7+/DDD/H392fXrl3Uq1fvqsefPn060dHRPPHEEwDUqlWLNWvW8MMPP1z1sSNHjqRXr162r5977jmmTp1quy00NJRdu3Yxc+ZMBg0aRFxcHGFhYdx8882YTCZCQkLy7bNPnz4MHToUgBdeeIElS5bw5ptvMmPGDObPn09qaioff/wxbm5uALz11lt069aNyZMnExAQAIC3tzdvvfUWjo6O1K5dmy5durBs2TLuv/9+4uLicHNzo2vXrnh4eBASEkJUVBQAaWlpvPTSSyxdupQWLVoAUL16dVatWsXMmTNVyKVcUiG3Q1nZOWRk2eGiPSIG+fmsO8cq3MrdySuo4NeacyfdOX8mg4Ndx1Nz/n+ue7+HejRikfumIkwqN8rJwQlfFy/8nNzxc3DF12TG79Iq42kp+KVewPfiafySTmJJTzY6rlyiEXIpRpGRkXm+rlSpEgkJCQCYzWbuuusu5s2bx4ABA7h48SLffPMNCxcutG0fGxvLuHHjWLduHSdPniQ7OxuAuLi4QhXy3bt320bbL2nRokWhCnnjxo1tf7948SIHDhxgyJAh3H///bbbMzMzbQvIDR48mA4dOhAeHk50dDRdu3bl9ttvz3fsf3+9ZcsWW9YGDRrYyjhAq1atyM7OZu/evbZCXrduXRwdHW3bVKpUie3bcxfg69ChAyEhIVSvXp3o6Giio6Pp2bMnVquV/fv3k5ycTIcOHfJkSE9Pt5V2kfJGhdwOpWq6usg123vRmTfNt/Cw00Z8Autx+rgPcX864N1jNL5fT7nm/WVFhvN02JaiDyr5OJgc8HL21JTxskyFXIrRvxdCM5lMtlIN0K9fP9q0aUNCQgJLlizBYrEQHR1tu79bt26EhITw/vvvU7lyZbKzs6lXrx7p6cV/VY1/FuNL53G///77NGvWLM92l8pxw4YNOXToEN9//z1Lly7lrrvuon379kV+jvaVXlMPDw82bdrEihUr+Omnnxg3bhzjx49n/fr1tuewePFiqlSpkmcfLi4uRZpRxF6okNshFXKR63M604FJWY0ZWSEW/yoZnDwWwPYL1Wl+Uztct/xc6P2YPD2ZcPs5Mk3ZV99YLuvapoyXg4XNyjNNWRcDtWzZkqCgID799FO+//57+vTpYyucp06dYu/evbz//vu0bt0agFWrVl3T/iMiIli3bl2e23777bdrzhkQEEDlypU5ePAg/fr1u+x2np6e9O3bl759+9K7d2+io6M5ffo0Pj4+tmMPHDgwT5ZLo9MRERHMmTOHixcv2j4MWL16NQ4ODoSHhxc6q9lspn379rRv357nnnsOLy8vfv75Zzp06ICLiwtxcXGani7yFxVyO5SaqRIgcr0yc0xMOVuL+3yPExH8B4lxVdkWcjeN4nbiePpEofbx493V2eO0o5iT2idnB2d8XSrg5+SBr4MLfv+aMu6rKeNSEI2Qi8Huvfde3n33Xfbt28fy5cttt3t7e+Pr68t7771HpUqViIuLY+zYsde075iYGFq1asWUKVPo3r07P/74Y6GmqxdkwoQJxMTEUKFCBaKjo0lLS2PDhg2cOXOGUaNG8dprr1GpUiWioqJwcHDgv//9L4GBgXh5edn28d///pfGjRtz8803M2/ePH7//XdmzZoF5M4WeO655xg0aBDjx48nMTGR//znPwwYMMA2Xf1qvv32Ww4ePMgtt9yCt7c33333HdnZ2YSHh+Ph4cHo0aN59NFHyc7O5uabb+bcuXOsXr0aT09PBg0adF2vi4g9UyG3QxohF7lxs08F0tHnPO1D40g4FMyB6HGELRiBKefK6zOc6tiYD3y3lEzIUuLSlHE/J0/8zBb8TE745pjws00Zv4hf8hl8LyRSIeWc0XHFHqmQi8H69evHiy++SEhICK1atbLd7uDgwMKFC4mJiaFevXqEh4fzxhtv0LZt20Lvu3nz5rz//vs899xzjBs3jvbt2/PMM8/wwgsvXHPOoUOHYrVaefXVV3n88cdxc3Ojfv36jBw5EsidLv7KK68QGxuLo6MjTZo04bvvvsuzGvyECRNYuHAhDz30EJUqVWLBggXUqVMHAKvVyo8//sgjjzxCkyZNsFqt3Hnnnbz22muFzujl5cWXX37J+PHjSU1NJSwsjAULFlC3bl0gdyE5f39/Jk2axMGDB/Hy8qJhw4Y89dRT1/x6iJQFppycq/zrU0qdnX+eo8sb1zZdSkQKVt89jf6u50ncH0SkzzH8v5x0+Y2rBzOkzykuOKSVXMBi5O7khp/zpSnjzrYp474Z6filJf81ZfwUPhdO4pijDwKlGIXcDPctNjqF/CU1NZVDhw4RGhqKq6ur0XGkCJlMJr766it69OhhdBSRMu1afo9qhNwOpWZoyrpIUdme5MLUdB8eCY9n14GqNG0SjWV9/qmEJhcXpnV3LPVl/OpTxs/jd/EMfhcScc2IMzquSK6s4l8cS0REpDRSIbdDaZqyLlKkEtIdeT6xAo/VOsXO+DuIOrQdx5PH8myz6a5IVrtuNiSfpoxL2afJeiIiUj6pkNuh1EwVcpGilpbtwEt/Whle6SIVokdTc94o2/nkKS0jmVS16Mu4poyLiEhJ0pmqIqWPCrkd0pR1keIzM95EN3/wvnMUfp9PxRTgz9ibjxb68ZoyLiIiIiKFpUJuh7L16aZIsfpfYhbHPIJ4tnEbvmiRwAnzAXydvfFz9sDP0YqvyYxfjglfTRkXERERkRugQm6HnBwdrr6RiFwXJ4ccegWcoLv7HoIrxDIyNY4JJ0/hmHPY6GgiIiIiUsaokNshZxVykSLV1Os89/rtp3n2VgJO/Y7pzDk4Y3QqERERESnrVMjtkLNZhVzkRgS6pDMw8Ai3Oe+k+vnfcTp3GP4wOpWIiIiIlDcq5HZIU9ZFro2TQw53BhznDve9RKZtxO3kVkwnMo2OJSIiIiLlnJqdHXJyNBkdQaTUa+Z1nmk1NvFb9dns83iIl888Rsuj7+GesBFTtsq4iEhZN3XqVKpWrYrZbObw4cNX3X7OnDl4eXkVe67yrFq1akybNq3I9vfee+8RFBSEg4NDofdb1BmqV6+Ot7c3ffv2JTU1tcj2K+WHRsjtkKasi+RXyTWdgQFHaOe8g+rnfsfp/BE4ZnQqESkUB/1zxF7srh1RoseL2LP7uh6XkpLC2LFjefzxx3nwwQepXLmy7b62bdsyePBg2rZtS2hoqK7NbaBq1aoxZ84cAAYPHlyoD04uOX/+PCNGjOC1117jzjvvpEKFCsUT8irWrl3Lli1b6Ny5M3379qVXr16G5BD7pf8D2iEt6iaSOw29d0A8d7jvpX7qpWnoWUbHEpHr4WQ1OoGUMYmJiWRmZtKrVy+CgoKMjmOXsrKyMJlMODjk/Xdneno6zs7OBqX6W1xcHBkZGXTp0oVKlSoZliMgIICOHTsSGBjIsWMaCZBrp2ZnhzRCLuVVc69zTK+xkXXVP2Sfx4NMOjOaFkffxz1xE6YclXERu+XsZnQCKWOys7MBMJuvfezpxx9/JCIiAnd3d6Kjo4mPj7fdt379ejp06ICfnx8VKlSgTZs2bNq0yXZ/Tk4O48ePJzg4GBcXFypXrkxMTEyhjnvmzBkGDhyIt7c3VquVTp06ERsbm2eb1atX07ZtW6xWK97e3nTs2JEzZ87YnvMrr7xCzZo1cXFxITg4mBdffBGAFStWYDKZOHv2rG1fW7ZswWQy2UalL03ZX7RoEXXq1MHFxYW4uDiqVavGCy+8wMCBA/H09GTYsGEArFq1itatW2OxWAgKCiImJoaLFy/a9p+QkEC3bt2wWCyEhoYyb968wr8JVzFnzhzq168P5E4Zv/Q8Dhw4QPfu3QkICMDd3Z0mTZqwdOnSy+7nau9XWloao0ePpkqVKri5udGsWTNWrFhR4L6cnJzIytK/ReTaqdnZIS3qJuVFJdd0xobs46ewr4it+CQLUx+k+7GpBPy5FFPaeaPjiUhRcXY3OoGUMZfO5XVycrqmxyUnJzNlyhTmzp3Lr7/+SlxcHKNHj7bdf+HCBQYNGsSqVav47bffCAsLo3Pnzly4cAGAL774gtdff52ZM2cSGxvL119/bSuOVzN48GA2bNjAokWLWLt2LTk5OXTu3JmMjAwgt0Dfdttt1KlTh7Vr17Jq1Sq6detmK4FPPvkkL7/8Ms8++yy7du1i/vz5BAQEXPPznzx5Mh988AE7d+6kYsWKAEyZMoUGDRqwefNmnn32WQ4cOEB0dDR33nkn27Zt49NPP2XVqlWMGDEiz/M5evQoy5cv5/PPP2fGjBkkJCQUKsfhw4cxmUyXLb99+/a1Fe3ff/+d+Ph4goKCSEpKonPnzixbtozNmzcTHR1Nt27diIuLK3A/V3u/RowYwdq1a1m4cCHbtm2jT58+REdH5/ugBHK/19LS0gr1/ET+SVPW7ZAKuZRVLg7Zf62Gvod6qRtxO7lN09BFygONkEsRysrKYuHChVgsFkJCQvLd/8+S9+/zxzMyMnj33XepUaMGkFvInn/+edv97dq1y7P9e++9h5eXF7/88gtdu3YlLi6OwMBA2rdvj5OTE8HBwTRt2vSqmWNjY1m0aBGrV6+mZcuWAMybN4+goCC+/vpr+vTpwyuvvELjxo2ZMWOG7XF169YFcj8omD59Om+99RaDBg0CoEaNGtx8881XPfa/n/+MGTNo0KBBntvbtWvHY489Zvt66NCh9OvXj5EjRwIQFhbGG2+8QZs2bXjnnXeIi4vj+++/5/fff6dJkyYAzJo1i4iIvGsQ/POc8X/+3cnJifDwcKzWgk9nsVgs+Pr6AuDv709gYCAADRo0yJP9hRde4KuvvmLRokV5Piy45ErvV1xcHLNnzyYuLs62BsHo0aP54YcfmD17Ni+99FKefdWqVYvFixfz4IMP4unpWWBukYKokNshTVmXsqSl9znu9o2lWfZWKp76HdOZC3DG6FQiUqJUyKWIrFy5knbt2mEymZgzZw7u7tc2+8JqtdrKOEClSpXyjOqeOHGCZ555hhUrVpCQkEBWVhbJycm2Edg+ffowbdo0qlevTnR0NJ07d6Zbt25XnTq/e/duzGYzzZo1s93m6+tLeHg4u3fnLmy3ZcsW+vTpc9nHp6Wlcdttt13T8/03Z2dnIiMj893euHHjPF9v3bqVbdu25ZmGnpOTQ3Z2NocOHWLfvn2YzWYaNWpku7927dqFXsW+SpUq7Nmz55rzJyUlMX78eBYvXkx8fDyZmZmkpKRcdoT8Su/X9u3bycrKolatWnkek5aWZvsw4J/eeOMNbr31Vry8vJg4cSJPPfXUNeeX8kmF3A5pUTexZ1Vc02yroYee+x3z+Tj4w+hUImIoTVmXItK4cWM2btzIq6++yujRo+ndu/c1LUD27ynuJpMpzyj6oEGDOHXqFNOnTyckJAQXFxdatGhBeno6AEFBQezdu5elS5eyZMkSHnroIV599VV++eWXa54+/28Wi+W67gNsC7P987lcmgr/7/2YTPkvr+vmlvdDs6SkJIYPH17g+fHBwcHs27fvinmKy+jRo1myZAlTpkyhZs2aWCwWevfubXt//u1K71dSUhKOjo5s3LgRR0fHPI8r6IOeF154AXd3d3799Vfq1KlTLM9PyiYVcjvk6uSAo4OJrGxdpkNKPxeHbPoExNPNfS91NQ1dRAqiEXIpIhaLhcjISJ544gk++eQTDh48SO3atYts/6tXr2bGjBl07twZgKNHj3Ly5Ml8Gbp160a3bt14+OGHqV27Ntu3b6dhw4aX3W9ERASZmZmsW7fONmX91KlT7N2711buIiMjWbZsGRMmTMj3+LCwMCwWC8uWLWPo0KH57vf39wcgPj4eb29vIHfE/Xo1bNiQXbt2UbNmzQLvr127NpmZmWzcuNE2ZX3v3r15FpUrDqtXr2bw4MH07NkTyP3g4GqXUrvc+xUVFUVWVhYJCQm0bt36qsdeu3YtAwYMuObTBERUyO2QyWTC2+rEyaSCP+0TMVor77Pc7bOfZjlb8D+1XtPQReTKVMiliHl4eAB/L+5WVMLCwpg7dy6NGzfm/PnzPP7443lGp+fMmUNWVhbNmjXDarXyySefXPZc9n/vt3v37tx///3MnDkTDw8Pxo4dS5UqVejevTuQu2hb/fr1eeihh3jggQdwdnZm+fLl9OnTBz8/P8aMGcMTTzyBs7MzrVq1IjExkZ07dzJkyBBq1qxJUFAQ48eP58UXX2Tfvn1MnTr1ul+HMWPG0Lx5c0aMGMHQoUNxc3Nj165dLFmyhLfeeovw8HCio6MZPnw477zzDmazmZEjR151JP+SY8eOcdttt/Hxxx8X6hz8S8LCwvjyyy/p1q0bJpOJZ5991rbifkGu9H75+vrSr18/Bg4cyNSpU4mKiiIxMZFly5YRGRlJly5d8uwrLS3tmk+REAGtsm63fN1cjI4gYlPVNY2nqu1lSdiX7K84lnkpD9Ht2GtU/PNnTGkXjI4nIqWdCrkUsUtTjK9Uxq7HrFmzOHPmDA0bNmTAgAHExMTYViIH8PLy4v3336dVq1ZERkaydOlS/ve//xV4zvG/zZ49m0aNGtG1a1datGhBTk4O3333nW2qe61atfjpp5/YunUrTZs2pUWLFnzzzTe289OfffZZHnvsMcaNG0dERAR9+/a1nf/u5OTEggUL2LNnD5GRkUyePJmJEyde9+sQGRnJL7/8wr59+2jdujVRUVGMGzfOtvjZpedTuXJl2rRpQ69evRg2bFie1+pKMjIy2Lt3L8nJydeU67XXXsPb25uWLVvSrVs3OnbseMWZCVd7v2bPns3AgQN57LHHCA8Pp0ePHqxfv57g4OB8+8rKyso3tV2kMEw5/15eUuzCPe/9xtqDp4yOIeWUi0M2dwXG081tD3VTN2I9uV3XAReR63fvf6HW7UankL+kpqZy6NAhQkNDcXV1NTrOdUlLS8NisfDmm2/y8MMPGx1HyrgDBw4QERHB/Pnz6d27t9FxpBS4lt+jmrJup3zdC79AiUhRaO1zlr4+sTTN3ob/yXWYTifBaaNTiUiZ4O5vdAIpY1xcXIiJiSEmJoZRo0YRGxtb4KimyI2KiIhgz5493HTTTba1BUSuhQq5nfJz15R1KV5VXdMYFHiIW512Uu3c75jPH4VrmzkmIlI47gFGJ5AyaNq0aUycOJHExMQ8U6mNsHLlSjp16nTZ+5OSkkowjRSlH3/8EavVip+fn9FRxE6pkNspXzeNkEvRsjhmcVfAcbq47aFuygasp7ZjOl60596JiORnArfCnVcqcq3c3d1LxUJbjRs3vqFVzaX00swLuVEq5HbKVyPkUgTa+JzhLp/9NM3eit/J3zUNXURKntUHHPXPESnbLBbLZS8RJiLlm/4PaKd0Drlcj2BLKgMDjtDWaQfVzq7DfOEPTUMXEWNpdFxERMoxFXI75adCLoVwaRp6V7fd1EnZqGnoIlL6uKuQi4hI+aVCbqd8dB1yuYw2vmfo6x1Lk6yt+J36HdPpi5qGLiKllxZ0ExGRckyF3E5pyrpcEmxJZVDAYdqadxBybh3mC8fgotGpREQKSSPkIiJSjqmQ2ylPVyeczQ6kZ2r6cXljccyib0C8bRq65dQOTUMXEfulEXIRESnHHIwOINevooemrZcXbXzO8E7N39kQ+h673B5g/OknaHx0NtaT2zDlqIyLiB3zCDQ6gchVtW3blpEjR5aa/VyPatWqMW3aNEOOXZzs5XmNHz+em2666Yb3c/jwYUwmky6jdwVG/pxdD42Q27Fqvm78cSbF6BhSDKpZUhkQeIhbHXcQfO733GnoWg1dRMoi72pGJ5Br8PYDP5fo8R5+t12htzWZTFe8/7nnnmP8+PE3mKhwVqxYwa233sqZM2fw8vKy3f7ll1/i5ORUIhmMMGfOHEaOHMnZs2evuN2qVasYM2YMe/bsITk5mZCQEIYPH86jjz56zftev349bm5uRZDePgQFBREfH4+fn5/RUQxXVn7OVMjtWKifG6v2nzQ6hhQBN8ds7go4Rle3PUSkbMByaiemeI18i0g54FPd6ARSRsTHx9v+/umnnzJu3Dj27t1ru83d3d2IWHn4+PgYHaFUcHNzY8SIEURGRuLm5saqVasYPnw4bm5uDBs27Jr25e/vX0wpS5/09HScnZ0JDNTMoiuxt58zTVm3Y9X8ys+ngWXRrT6neafmOjaEzmSHdTjPnR5Do6OzsZ7crmnoIlI+uFQAN43ySNEIDAy0/alQoQImk8n29cWLF+nXrx8BAQG4u7vTpEkTli5dmufxM2bMICwsDFdXVwICAujdu/dlj7V48WIqVKjAvHnz8t13+PBhbr31VgC8vb0xmUwMHjwYyD+Vtlq1akycOJGBAwfi7u5OSEgIixYtIjExke7du+Pu7k5kZCQbNmzIc4xVq1bRunVrLBYLQUFBxMTEcPHi3yu6JiQk0K1bNywWC6GhoQXm/Lfs7Gyef/55qlatiouLCzfddBM//PCD7f4VK1ZgMpnyjFBv2bIFk8nE4cOHWbFiBffddx/nzp3DZDJhMpkuOyMhKiqKe+65h7p161KtWjX69+9Px44dWblyZYHbX2nf/56ybjKZmDlzJl27dsVqtRIREcHatWvZv38/bdu2xc3NjZYtW3LgwIE8x/jmm29o2LAhrq6uVK9enQkTJpCZmQlATk4O48ePJzg4GBcXFypXrkxMTMwVX8+XX36ZgIAAPDw8GDJkCKmpqXnuL2hadY8ePWzfK5ee2wsvvMDAgQPx9PRk2LBh+aasX3pfli1bRuPGjbFarbRs2TLPh1EAEydOpGLFinh4eDB06FDGjh171Sn0O3bsoFOnTri7uxMQEMCAAQM4efKk7bjOzs553rNXXnmFihUrcuLECQCOHj3KXXfdhZeXFz4+PnTv3p3Dhw/nOcaHH35I3bp1cXFxoVKlSowYMQIoeGr+2bNnMZlMrFix4pp+zs6cOcPAgQPx9vbGarXSqVMnYmNjbffPmTMHLy8vfvzxRyIiInB3dyc6OjrPh3zFSYXcjlVXIbcr1SypPFdtN8trfsYBv9HMTh5Bpz+m4xf/C6YMLYsuIuWQTzWjE0g5kZSUROfOnVm2bBmbN28mOjqabt26ERcXB8CGDRuIiYnh+eefZ+/evfzwww/ccsstBe5r/vz53HPPPcybN49+/frluz8oKIgvvvgCgL179xIfH8/06dMvm+3111+nVatWbN68mS5dujBgwAAGDhxI//792bRpEzVq1GDgwIHk5OQAcODAAaKjo7nzzjvZtm0bn376KatWrbIVGYDBgwdz9OhRli9fzueff86MGTNISEi44ms0ffp0pk6dypQpU9i2bRsdO3bkjjvuyFNcrqRly5ZMmzYNT09P4uPjiY+PZ/To0YV67ObNm1mzZg1t2rQpkn1fKrFbtmyhdu3a3HvvvQwfPpwnn3ySDRs2kJOTk+f1WrlyJQMHDuSRRx5h165dzJw5kzlz5vDiiy8C8MUXX/D6668zc+ZMYmNj+frrr6lfv/5lj//ZZ58xfvx4XnrpJTZs2EClSpWYMWNGoV6Lf5syZQoNGjRg8+bNPPvss5fd7umnn2bq1Kls2LABs9nM//3f/9numzdvHi+++CKTJ09m48aNBAcH884771zxuGfPnqVdu3ZERUWxYcMGfvjhB06cOMFdd90F/F16BwwYwLlz52z5PvjgAwICAsjIyKBjx454eHiwcuVKVq9ebSu66enpALzzzjs8/PDDDBs2jO3bt7No0SJq1qxZqNflWn7OBg8ezIYNG1i0aBFr164lJyeHzp07k5GRYdsmOTmZKVOmMHfuXH799Vfi4uIK/f17ozRl3Y5phLx0c3PMpm/gMbpYdxORsjF3GrpWQxcR+Zumq0sJadCgAQ0aNLB9/cILL/DVV1+xaNEiRowYQVxcHG5ubnTt2hUPDw9CQkKIiorKt5+3336bp59+mv/973+XLY+Ojo62KbMVK1bMc25rQTp37szw4cMBGDduHO+88w5NmjShT58+AIwZM4YWLVpw4sQJAgMDmTRpEv369bONAIaFhfHGG2/Qpk0b3nnnHeLi4vj+++/5/fffadKkCQCzZs0iIiLiijmmTJnCmDFjuPvuuwGYPHkyy5cvZ9q0abz99ttXfCyAs7NznpkJhVG1alUSExPJzMxk/PjxDB06tEj2fd9999mK46XX79lnn6Vjx44APPLII9x333227SdMmMDYsWMZNGgQANWrV+eFF17giSee4LnnniMuLo7AwEDat2+Pk5MTwcHBNG3a9LLHnzZtGkOGDGHIkCFA7uj00qVL842SF0a7du147LHHbF//e4T5khdffNH2PTl27Fi6dOlCamoqrq6uvPnmmwwZMsT2nMeNG8dPP/1EUlLSZY/71ltvERUVxUsvvWS77cMPPyQoKIh9+/ZRq1YtJk6cyJIlSxg2bBg7duxg0KBB3HHHHUDuaSPZ2dl88MEHtvUdZs+ejZeXFytWrOD2229n4sSJPPbYYzzyyCO2Y1z6nr2awv6cxcbGsmjRIlavXk3Lli2B3A8ogoKC+Prrr20/ZxkZGbz77rvUqFEDgBEjRvD8888XKsuNUiG3Y0HeFswOJjKzc4yOIn9p53uau7xjaZK1BZ+TGzCduginjE4lIlJKqZBLCUlKSmL8+PEsXryY+Ph4MjMzSUlJsY2Qd+jQgZCQEKpXr050dDTR0dH07NkTq9Vq28fnn39OQkICq1evLnRpKIzIyEjb3wMCci8D+M/R10u3JSQkEBgYyNatW9m2bVueaeg5OTlkZ2dz6NAh9u3bh9lsplGjRrb7a9eufcUPBs6fP8+ff/5Jq1at8tzeqlUrtm7dekPP70pWrlxJUlISv/32G2PHjqVmzZrcc889N7zfwrymqampnD9/Hk9PT7Zu3crq1attI+IAWVlZpKamkpycTJ8+fZg2bZrt+6Nz585069YNs7ngKrV7924eeOCBPLe1aNGC5cuXX/Nzady4caG2++dzrlSpEpD7PRMcHMzevXt56KGH8mzftGlTfv758os0bt26leXLlxe49sKBAweoVasWzs7OzJs3j8jISEJCQnj99dfzPH7//v14eHjkeWxqaioHDhwgISGBP//8k9tuu61Qz+967d69G7PZTLNmzWy3+fr6Eh4ezu7du223Wa1WWxmH3NfwarNKiooKuR0zOzoQ5GPl0ElNdzZKdWsqAwMO0cZxO8Fn1+GYFA96O0RECkeFXErI6NGjWbJkCVOmTKFmzZpYLBZ69+5tmzrr4eHBpk2bWLFiBT/99BPjxo1j/PjxrF+/3lZko6Ki2LRpEx9++CGNGze+6qruhfXP1aAv7bOg27Kzc2fZJSUlMXz48ALPYQ4ODmbfvn1FkuvfHBxyz3S9NHUeyDPl93qEhoYCuWX5xIkTjB8/vkgK+fW8phMmTKBXr1759uXq6kpQUBB79+5l6dKlLFmyhIceeohXX32VX3755bpX83ZwcMjzWkLBr2dhV5C/0vO7HklJSXTr1o3Jkyfnu+9S4QdYs2YNAKdPn+b06dO2vElJSTRq1KjA9Qv8/f1t30+XUxzfb1fy7/fRZDLle3+Ki84ht3PVfK1X30iKjJtjNkOrHOXLWj+xu8pLLMsewuD4Fwj94+vcMi4iIoXnHWp0AiknVq9ezeDBg+nZsyf169cnMDAw39Rfs9lM+/bteeWVV9i2bRuHDx/OM4JYo0YNli9fzjfffMN//vOfKx7P2dkZyB1lLWoNGzZk165d1KxZM98fZ2dnateuTWZmJhs3brQ9Zu/evVe8FJmnpyeVK1dm9erVeW5fvXo1derUAf5ezfyfC139+1rYzs7O1/2cs7OzSUtLu+z9N7Lvq2nYsCF79+4t8DW9VAwtFgvdunXjjTfeYMWKFaxdu5bt27cXuL+IiAjWrVuX57bffvstz9f+/v55XsusrCx27NhRxM8sV3h4OOvXr89z27+//reGDRuyc+dOqlWrlu81uVS6Dxw4wKOPPsr7779Ps2bNGDRokO1DgIYNGxIbG0vFihXzPb5ChQp4eHhQrVo1li1bVuDxC/v9Blf+OYuIiCAzMzPP+3Hq1Cn27t1r+942mgq5nQv1M/4SHmVde9/TzKz5GxtDZ7LDOoxnTo2hYdwcLKd2YEKnC4iIXDeNkEsJCQsL48svv2TLli1s3bqVe++9N8/o4bfffssbb7zBli1bOHLkCB9//DHZ2dmEh4fn2U+tWrVYvnw5X3zxRb4Vsv8pJCQEk8nEt99+S2Ji4hXP1b1WY8aMYc2aNYwYMYItW7YQGxvLN998Y1ukLDw8nOjoaIYPH866devYuHEjQ4cOxWKxXHG/jz/+OJMnT+bTTz9l7969jB07li1bttjO761ZsyZBQUGMHz+e2NhYFi9ezNSpU/Pso1q1aiQlJbFs2TJOnjxJcnJygcd6++23+d///kdsbCyxsbHMmjWLKVOm0L9//8vmK+y+r8e4ceP4+OOPmTBhAjt37mT37t0sXLiQZ555BshdhXvWrFns2LGDgwcP8sknn2CxWAgJCSlwf4888ggffvghs2fPZt++fTz33HPs3Lkzzzbt2rVj8eLFLF68mD179vDggw9e9frt1+s///kPs2bN4qOPPiI2NpaJEyeybdu2K87yePjhhzl9+jT33HMP69ev58CBA/z444/cd999ZGVlkZWVZVsd/7777mP27Nls27bN9j3Rr18//Pz86N69OytXruTQoUOsWLGCmJgY/vjjDwDGjx/P1KlTeeONN4iNjWXTpk28+eabQO4HIM2bN+fll19m9+7d/PLLL7b345LC/JyFhYXRvXt37r//flatWsXWrVvp378/VapUoXv37oV+Db/66itq165d6O2vhQq5nQv10wh5UathTWFC6K6/VkN/jA8ujqDjH2/gG/8Lpoyi++UvIlKuObmBZ6WrbydSBF577TW8vb1p2bIl3bp1o2PHjjRs2NB2v5eXF19++SXt2rUjIiKCd999lwULFlC3bt18+woPD+fnn39mwYIFeRbb+qcqVarYFgoLCAjIs6L3jYqMjOSXX35h3759tG7dmqioKMaNG0flypVt28yePZvKlSvTpk0bevXqxbBhw6hYseIV9xsTE8OoUaN47LHHqF+/Pj/88AOLFi0iLCwMyJ3Su2DBAvbs2UNkZCSTJ09m4sSJefbRsmVLHnjgAfr27Yu/vz+vvPJKgcfKzs7mySef5KabbqJx48a8/fbbTJ48+YqLaBV239ejY8eOfPvtt/z00080adKE5s2b8/rrr9sKt5eXF++//z6tWrUiMjKSpUuX8r///Q9fX98C99e3b1+effZZnnjiCRo1asSRI0d48MEH82zzf//3fwwaNIiBAwfSpk0bqlevbruMV1Hr168fTz75JKNHj6Zhw4YcOnSIwYMH4+rqetnHXJoxkZWVxe233079+vUZOXIkXl5eODg48OKLL3LkyBFmzpwJ5E5jf++993jmmWfYunUrVquVX3/9leDgYHr16kVERITt8m+enp4ADBo0iGnTpjFjxgzq1q1L165d86zq/+GHH5KZmUmjRo0YOXJkvu+3wv6czZ49m0aNGtG1a1datGhBTk4O33333TWdbnDu3Ll8l5IrKqackpocL8ViVexJ+s9ad/UN5bLczFncG3CMTtY9RCRvwPXUTo18i4gUt6pNYOjSq28nJS41NZVDhw4RGhp6xX+wi4j96tChA4GBgcydO9foKGXStfwe1aJudq6aRsivy+1+p+jtFUsj22royVoNXUSkJAVe/hq+IiJSdJKTk3n33Xfp2LEjjo6OLFiwwLZAnRhPhdzOVfGyYHV2JDm9eBa5KCvC3FIYUPEQtzhuJ+jMOhyTjkPRnc4lIiLXSoVcRKREmEwmvvvuO1588UVSU1MJDw/niy++oH379kZHE1TI7Z7JZKJe5Qr8fvi00VFKFTdzFv0Cj9HJspvayRtwPbULU7ymoYuIlBqBkVffRkREbpjFYmHpUp0iVFqpkJcBkVVVyAFu9ztNb699NM7cjPfJDZhOphgdSURECmJyhID8i2WJiIiUNyrkZUCDIC+jIxgidxr6wb+mof+uaegiIvbCtwY4XfkSTCIiIuWBCnkZ0KCql9ERSkTuNPQ/6GzZTXjyBlxP7dY0dBERe6Tzx0VERAAV8jIh2NeKt9WJM8kZRkcpctH+p7izwj4aZW7G++RGTUMXESkLVMhFREQAFfIyI7KqF7/sSzQ6xg2r5ZbCgIoHuMVxB1XPrMPxwgm4YHQqEREpUirkIiIigAp5mdGgagW7LOQe5sy/VkPfRfjFDbic3qNp6CIiZV1gA6MTiIiIlAoORgeQomFPC7t18j/JBzXXsLna22xzHc7Yk0/S4OhcXE/vxoTKuIhImeZTHdz9jU4h5cDUqVOpWrUqZrOZw4cPX3X7OXPm4OXlVey5CmP8+PHcdNNNtq8HDx5Mjx49rviYtm3bMnLkyCLL8PXXX1OzZk0cHR0Lvd+iznDrrbfi6elJx44dOXnyZJHtV6Q00Qh5GRFZihd2q+2ezICKB2ntsJ0qZ9bheCFB09BFRMqr4JZGJ5AbMLVv1xI93mOffntdj0tJSWHs2LE8/vjjPPjgg1SuXNl2X9u2bRk8eDBt27YlNDSUnJzcwYC+ffvSuXPnIsld1KZPn27LWViXe56FNXz4cO677z5iYmLw8PC4pscWlS+++IJ9+/YRHR3Nxx9/zKhRowzJIVKcVMjLCH8PFypXcOXPc6lGR8HDnEn/Sn8Q7bqb8IvrcT29B/40OpWIiJQKwc2NTiDlQGJiIpmZmfTq1YugoKBCPcZisWCxlM7L8VWoUKFEj5eUlERCQgIdO3bM82FGSfPx8aF58+bUrVuXY8eOGZZDpDhpynoZYtS0dZMph07+J5kVdmka+jDGJD711zT0PYZkEhGRUiq4hdEJpBzIzs4GwGwu/NjTv6esb926lVtvvRUPDw88PT1p1KgRGzZsuOI+zp8/j8Vi4fvvv89z+1dffYWHhwfJyckAjBkzhlq1amG1WqlevTrPPvssGRmXv1rOv6esX7x4kYEDB+Lu7k6lSpWYOnVqoZ/n1axYscI2It6uXTtMJhMrVqzg1KlT3HPPPVSpUgWr1Ur9+vVZsGDBFfc1Y8YMwsLCcHV1JSAggN69e9vuy87OZtKkSYSGhmKxWGjQoAGff/55gftxcnIiKyuryJ6jSGmiEfIyJLKqF9/vOF4ix6rtnsxA/wPc7LhD09BFRKRw3CqCX02jU0g5kJqaO2PQycnpuvfRr18/oqKieOedd3B0dGTLli1X3Z+npyddu3Zl/vz5dOrUyXb7vHnz6NGjB1arFQAPDw/mzJlD5cqV2b59O/fffz8eHh488cQThcr2+OOP88svv/DNN99QsWJFnnrqKTZt2pTnvPMrMZlMzJ49m8GDB+e7r2XLluzdu5fw8HC++OILWrZsiY+PD4mJiTRq1IgxY8bg6enJ4sWLGTBgADVq1KBp06b59rNhwwZiYmKYO3cuLVu25PTp06xcudJ2/6RJk/jkk0949913CQsL49dff6V///74+/vTpk2bPPtycnIiLS2tUM9NxN6okJchDYO9im3fFZwy6RfwB9GWXdS6uCF35Du+2A4nIiJlUXAzoxNIOZCVlcXChQuxWCyEhITku3/FihW2v1/pvOq4uDgef/xxateuDUBYWFihjt+vXz8GDBhAcnIyVquV8+fPs3jxYr766ivbNs8884zt79WqVWP06NEsXLiwUIU8KSmJWbNm8cknn3DbbbcB8NFHH1G1atVCP8/w8PDLToN3dnamYsWKQO6U8cDAQACqVKnC6NGjbdv95z//4ccff+Szzz4rsJDHxcXh5uZG165d8fDwICQkhKioKADS0tJ46aWXWLp0KS1a5M6aqV69OqtWrWLmzJn5CnmtWrVYunQpCQkJtmwiZYUKeRkSFeyNxcmRlIwbn9JjMuXQ2e8Ud3rtIypjM14nN2I6afz56SIiYse0oJsUs5UrV9qmWc+ZMwd3d/fr3teoUaMYOnQoc+fOpX379vTp04caNWpc9XGdO3fGycmJRYsWcffdd/PFF1/g6elJ+/btbdt8+umnvPHGGxw4cICkpCQyMzPx9PQsVK4DBw6Qnp5Os2Z/f8Dl4+NDeHh4oZ/bnj3XfkphVlYWL730Ep999hnHjh0jPT2dtLQ026j/v3Xo0IGQkBCqV69OdHQ00dHR9OzZE6vVyv79+0lOTqZDhw55HpOenm4r7f/0/PPP8+uvvxIQEMCwYcOYOXPmNecXKa10DnkZ4mx2oHE17+t+fIR7Mi9V387KmvM54D2Sty/E0O7oW3gfX40pU2VcRERukBZ0k2LWuHFjNm7cSN++fRk9ejTp6enXva/x48ezc+dOunTpws8//0ydOnXyjHJfjrOzM71792b+/PkAzJ8/n759+9rOZ1+7di39+vWjc+fOfPvtt2zevJmnn376hrKWhFdffZXp06czZswYli9fzpYtW+jYseNlc3t4eLBp0yYWLFhApUqVGDduHA0aNODs2bMkJSUBsHjxYrZs2WL7s2vXrgLPI3/zzTdJTEzkp59+4vnnny/W5ylS0jRCXsa0qunHytjCXaexglMm/QNzp6GHJa3H9fRerYYuIiLFw9kdKjUwOoWUcRaLhcjISJ544gk++eQTDh48aJtyfj1q1apFrVq1ePTRR7nnnnuYPXs2PXv2vOrj+vXrR4cOHdi5cyc///wzEydOtN23Zs0aQkJCePrpp223HTlypNCZatSogZOTE+vWrSM4OBiAM2fOsG/fvnxTvYvS6tWr6d69O/379wdyF2Xbt28fderUuexjzGYz7du3p3379jz33HN4eXnx888/06FDB1xcXIiLiytU5rVr19K1a9d8I+oiZYEKeRnTsobvZe8zmXLo4neSXl77aJixmQqJGzElaoEMEREpAUFNwcHR6BRSTlxaJfzS4m7XKiUlhccff5zevXsTGhrKH3/8wfr167nzzjsL9fhbbrmFwMBA+vXrR2hoaJ7p5WFhYcTFxbFw4UKaNGmS7/zyq3F3d2fIkCE8/vjj+Pr6UrFiRZ5++mkcHAo/8bV27dpMmjSpUB8u/DP3559/zpo1a/D29ua1117jxIkTly3k3377LQcPHuSWW27B29ub7777juzsbMLDw/Hw8GD06NE8+uijZGdnc/PNN3Pu3DlWr16Np6cngwYNyrOvtLS0Gzr9QKQ0UyEvY+pVrkAFixPnUnIvnVHX4yL9/Q9ys8M2qpxeh8OFk1oNXURESl5NjWxJyXF0zP3w59Llz67n8adOnWLgwIGcOHECPz8/evXqxYQJEwr1eJPJxD333MMrr7zCuHHj8tx3xx138OijjzJixAjS0tLo0qULzz77LOPHjy90vldffZWkpCS6deuGh4cHjz32GOfOnSv04/fu3XtN20PuQnQHDx6kY8eOWK1Whg0bRo8ePS67Hy8vL7788kvGjx9PamoqYWFhLFiwgLp16wLwwgsv4O/vz6RJkzh48CBeXl40bNiQp556Kt++srKybO+pSFljyrnS8pJilz795n/UOfk9tZI24HJmr9FxREREYMQG8CvcKtVirNTUVA4dOkRoaCiurq5Gx7kuaWlpWCwW3nzzTR5++GGj48gNOHnyJHXr1uXxxx/Ps8q7SGl2Lb9HtahbGdS3cgL1j85TGRcRkdLBK0RlXEqUi4sLMTExxMTE2M5VFvvTqVMn/P39sVqt3HvvvUbHESkWKuRlUc32V99GRESkpIRpurqUvGnTpnHu3Dn27NlD5cqVi2y/nTp1wt3dvcA/L730UpEdR2DWrFnEx8dz6NChIn0PRUoTnUNeFnmHgG8YnIo1OomIiIjOHxfDXCrKRemDDz4gJSWlwPt8fHyK9FjlnUq4lAcq5GVVzfYq5CIiYjxHFwi9xegUIkWmSpUqRkcQkTJEU9bLKk0PFBGR0iCkJThbjU4hIiJSKqmQl1XVWoNLBaNTiIhIeacPiO3W9V4yTESkvLuW35+asl5WmZ2hVkfY/pnRSUREpDzT+eN2x9nZGQcHB/7880/8/f1xdnbGZDIZHUtEpNTLyckhPT2dxMREHBwccHZ2vupjVMjLsjp3qJCLiIhxfGuCfy2jU8g1cnBwIDQ0lPj4eP7880+j44iI2B2r1UpwcDAODlefkK5CXpbVbA9ObpBx0egkIiJSHtXpYXQCuU7Ozs4EBweTmZlJVlaW0XFEROyGo6MjZrO50DOLVMjLMicLhLWHXd8YnURERMqjuj2NTiA3wGQy4eTkhJOTk9FRRETKLC3qVtZF3GF0AhERKY/8akFgPaNTiIiIlGoq5GVdrY6514AVEREpSZquLiIiclUq5GWdiwfUuNXoFCIiUt5ourqIiMhVqZCXB5q2LiIiJckvHALqGJ1CRESk1FMhLw9qdwbHq18DT0REpEjU7WF0AhEREbugQl4eWLxzzyUXEREpCZquLiIiUigq5OXFTf2NTiAiIuWBfwRUjDA6hYiIiF1QIS8varYH9wCjU4iISFkX1c/oBCIiInZDhby8cDRD/T5GpxARkbLMwQka3GN0ChEREbuhQl6e3KRRCxERKUbh0eDmZ3QKERERu6FCXp4E1IHKUUanEBGRsqrhIKMTiIiI2BUV8vJGo+QiIlIcPKtAjduMTiEiImJXVMjLm3p3gqOL0SlERKSsuelecNA/K0RERK6F/s9Z3lh9ILyT0SlERKRMMUGULq8pIiJyrVTIy6PG9xmdQEREypLQW8C7mtEpRERE7I4KeXlUvS34RxidQkREyoqGA41OICIiYpdUyMurZsOMTiAiImWBmz9EdDM6hYiIiF1SIS+vIu8GVy+jU4iIiL1rMhTMWixURETkeqiQl1fOVmg4wOgUIiJiz8yuuYVcRERErosKeXnWdBiYHI1OISIi9qp+H3DzMzqFiIiI3VIhL8+8gnUJNBERuX7NHzI6gYiIiF1TIS/vmg03OoGIiNij6rdCQB2jU4iIiNg1FfLyLvQWqFjX6BQiImJvWjxsdAIRERG7p0Iu0EJTDkVE5Br41YKa7Y1OISIiYvdUyAUi+0KFYKNTiIiIvWj+IJhMRqcQERGxeyrkAo5O0CrG6BQiImIP3PyhwT1GpxARESkTVMglV8OB4FHJ6BQiIlLatYwBJ4vRKURERMoEFXLJZXaBlv8xOoWIiJRmVj9oMtToFCIiImWGCrn8rdF9uf/YEhERKUirGHC2Gp1CRESkzFAhl785W3UZGxERKZjVD5rcb3QKERGRMkWFXPJqej9YvI1OISIipU3L/2h0XEREpIipkEteLh7Q7AGjU4iISGli9cv9wFZERESKlAq55NfsAXCtYHQKEREpLVqOAGc3o1OIiIiUOSrkkp/FC24eZXQKEREpDay+0HSY0SlERETKJBVyKVizB8CzqtEpRETEaK0e0ei4iIhIMVEhl4I5uUK7p41OISIiRvIK1roiIiIixUiFXC4v8m4IqGd0ChERMcptz4HZxegUIiIiZZYKuVyegwO0H290ChERMUKVRlDvTqNTiIiIlGkq5HJlYR0g9BajU4iISEnr+BKYTEanEBERKdNUyOXqOjwP6B9lIiLlRsQdENzc6BQiIiJlngq5XF3lKE1bFBEpLxycoMMEo1OIiIiUCyrkUji3jQOzxegUIiJS3JreDz7VjU4hIiJSLqiQS+F4h0DrUUanEBGR4uTqBbc8bnQKERGRckOFXAqv1SMaNRERKcvaPglWH6NTiIiIlBsq5FJ4Zhfo/KrRKUREpDhUapA7XV1ERERKjAq5XJua7XNX3xURkbLD5ABdp4GDo9FJREREyhUVcrl20S+Dk5vRKUREpKg0uR+qNDQ6hYiISLmjQi7XrkIVaPOE0SlERKQoeFSCds8YnUJERKRcUiGX69PiYfCvbXQKERG5UdEvg6un0SlERETKJRVyuT6OTtB5itEpRETkRoTdDnV7GJ1CRESk3FIhl+sX2hqiBhidQkREroeTVR+sioiIGEyFXG5Mx5fAs6rRKURE5Frd8jh4hxidQkREpFxTIZcb4+oJ3d80OoWIiFyLylHQMsboFCIiIuWeCrncuBrtoNFgo1OIiEhhmF2h50xwNBudREREpNxTIZeicftEqBBsdAoREbma28aBf7jRKURERAQVcikqLh5/TV03GZ1EpMxIz8qh5hsXWHM0s8SP3fyDi3yxK6PEjyvFrFpraP6Q0SlERETkL5qvJkWnelto/H+wYZbRSUTyeHlVGk8uS+ORZs5Mi3YF4PDZbEKnJxW4/We9LfSp61TgfeNXpLJwRyZHz2fj7AiNKjnyYjsXmlXN/XWalpnD0P+l8s2eDALdHZjRxZX21f/+Vfvq6jTizmXzZmfLVXO/uyGdUG8HWgb9/fhq0y5w5FxOnu0m3ebC2Jtd8j1+/+lsomYm4WiCs2P/vs70+xvT+XhbBjsSsoDc5/DSba40reJo2+aZW5x59Mc0ekaYcTDpg7YywcUTeswAvZ8iIiKlhgq5FK3bX4D9S+HsEaOTiACw/lgWMzemExmQd0JQkKeJ+Mfc89z23sYMXl2TRqewy/9qrOXryFudzVT3diAlI4fXf0vn9k+S2f8fd/zdHHhvYwYb/8xi7RA3vt+fyb1fpHBitDsmk4lDZ7J5f1MGG4a5XTV3Tk4Ob/2ewfO35i/az7d14f5Gf39g4OGcv2BlZOVwzxfJtA425xthX3Ekk3vqOdEyyBVXM0xenc7tcy+y8yF3qnjmvk6dapoZuiiV72Mz6VKr4A8nxM5ETwIvnVokIiJSmmjKuhQtZzfo+S6YHK++rUgxS0rPod+XKbzfzYK3a97S6uhgItDdIc+fr/ZkcFcdJ9wLKLiX3FvfifbVcwt53YqOvNbRlfNpsO1ENgC7T2ZxR7iZuhUdebiJM4nJOZxMzh3RfnBxCpPbu+DpcvURyo3x2Rw4k02XAj4c8HAhT263AvI+83Matf0cuatu/sfP62XloSbO3BToSG0/Rz7o5kp2Diw79Hdxd3Qw0TnMzMKdJT9dXopBeBeI6m90ChEREfkXFXIpeiEtoc0TRqcQ4eHvUukSZs4zZfxyNv6ZxZbj2QxpWPjR4PSsHN7bmE4FF2gQmPvrtEGAI6viskjJyOHHA5lUcjfhZzUxb1sGrmYTPSMKt/+VRzKp5euARwHl/eVV6fi+coGomUm8ujqNzOy8U9h/PpTJf3dl8HZn10IdKzkDMrLBx5L3WE2rOLLyiAq53bP6QbfpRqcQERGRAmjKuhSPW56Aw6vg8Eqjk0g5tXBHBpvis1h//9WnhwPM2pxOhF/e87Uv59t9Gdz9eQrJGVDJw8SSAW74WXML+f9FObHtRBZ1ZiThZzXxWR8LZ1Jh3IpUVgxy45mfU1m4I4MaPg58eIfFNkX8346cy6GyR/4yHtPMmYaVHPGxmFhzNIsnl6USn5TDax1zy/ep5GwGf53CJ70shRqJBxizNJXKHqZ8H1xU9jBx9HwO2Tk5Oo/cnt3xBrj7G51CRERECqBCLsXDwQHu/ADeaQXJJ41OI+XM0XPZPPJDKksGWHE1X71IpmTkMH97Bs/ekv987YLcWs3MlgfcOZmczfsbM7jr82TWDXWjopsDTo4m3u6Sd8G2+75JIaapM5uPZ/H1nky2PuDOK6vTiPkhlS/usl42U0HZR7X4O2NkgCPOjjD821Qm3eaCi9nE/f9L5d76TtwSUrhf7y+vSmPhjgxWDHbLdzyL2UR2DqRlgkWnkdunZg9C7S5GpxAREZHL0JR1KT4egdBrJroUmpS0jfFZJFzMoeHMi5ifP4/5+fP8ciSLN9alY37+PFn/muL9+a4MkjNgYIPCtU43ZxM1fRxoXtXMrO4WzA4mZm0q+BJhyw9lsjMhixFNnVlxOIvOYWbcnE3cVdeJFYezLnsMP6uJMyk5l73/kmZVHMnMzl01HnKnq09Zk2573kMWpXIuDczPn+fDzel5HjtlTRovr0rjpwFuRAbkX/fhdEoObk5gcdLPsF2qHAUdnjc6hYiIiFyBRsileNVsD61iYLXOX5SSc1uome0P5p2qft83KdT2c2RMK2ccHfIWzFmbM7gj3Iy/2/V9Rpmdk0NaVv7ynJqZw8PfpTKvlwVHBxNZ2ZDz12YZ2eT7YOCfoio58s6GdHJycjBdYbr4luPZOJig4l/Z1w5x459RvtmTyeTVaawZ4kYVj7+f3yur03hxZRo/9rfSuHLBizDuSMgiqpIWaLRLLhWgzxwwOxudRERERK5AhVyKX7txcGQt/PG70UmknPBwMVGvYt4i6eZkwteS//b9p7P59UgW3/UreOp47beSmHSbCz0jnLiYnsOLK9O4I9xMJXcHTibn8Pb6dI6dz6FPnfyj6y/8kkbnMLOt1LYKduTxJancF+XEW7+n0yr48r+Cb63mSFI67EzMtmVeezSTdceyuLWaGQ8XE2uPZvHoj6n0j3TC+68F2SL88z6/DX9m4WAiz/OevCqNcSvSmN/LQjUvB44n5Y6uuzub8qwwvzIui9sLsSCelELd3wTvakanEBERkavQv7Sk+DmaofcseLc1pJ41Oo1IHh9uTqeqp4nbaxQ8Erz3VDbn0nKHnB0dYM/JbD7amsLJ5Bx8LSaaVHFk5X1u1P1X0d+RkMVnuzLZMvzvkfredcysOGym9eyLhPs6MP/Ogj8EAPC1OtAzwsy8bRlMap+7bxeziYU7Mhm/Io20LAj1cuDR5s6ManFto6DvbEgnPQt6/zclz+3PtXFmfNvcxeGOnc9mzdEsPullKWgXUpo1fxjqdDc6hYiIiBSCKScn5+onKYoUhT2LYWE/QN9yIoWx7UQWHeYmcyDG/YrXRi8OY5akciY1h/e6qZDblaDmMHhx7gehIiIiUuppUTcpObW7QJsxRqcQsRuRAY5Mbu/CoTPZJX7sim4mXri1cKvOSynh5p973rjKuIiIiN3QCLmUrJwc+LQ/7PnW6CQiImWHgxkGfAWhtxidRERERK6BRsilZJlM0HMmVKxjdBIRkbIj+mWVcRERETukQi4lz8Ud7lkAFh+jk4iI2L8mQ6Hp/UanEBERkeugQi7G8K6We66jg851FBG5btVvhejJRqcQERGR66RCLsap3gZuf9HoFCIi9sk3TIu4iYiI2DkVcjFW8wcgqr/RKURE7IurF9z7KVi8jE4iIiIiN0CFXIzX5XUIbml0ChER++Bghrs+Bt8aRicRERGRG6RCLsYzO8M988G/ttFJRERKv06v5J7yIyIiInZPhVxKB4s39P8CPKsYnUREpPRq9iA0GWJ0ChERESkiKuRSelSoCv0+B9cKRicRESl96veB6ElGpxAREZEipEIupUtAHbh7Pji6GJ1ERKT0qNkeerwDJpPRSURERKQIqZBL6VPtZug1E0z69hQRoWpTuGsuODoZnURERESKmBqPlE51e0JHTc0UkXLOPwL6fQbOVqOTiIiISDFQIZfSq/kD0OoRo1OIiBijQjAM+DJ30UsREREpk1TIpXTr8Dw01orCIlLOWP1gwFfgWdnoJCIiIlKMVMil9OsyFRoOMjqFiEjJcPaA/p+DX02jk4iIiEgxUyGX0s9kgm7T4aZ+RicRESlezu7Q779QOcroJCIiIlICVMjFPphMcMdbENnX6CQiIsXD2QP6fwEhLYxOIiIiIiVEhVzsh4ND7nV46/YyOomISNFy8cxdwC24udFJREREpASpkIt9cXCEXu9DxB1GJxERKRountD/SwhqanQSERERKWEq5GJ/HM3Q+0MI72x0EhGRG+NSIXc19aAmRicRERERA6iQi31ydII+H0Gd7kYnERG5PpfKeNXGRicRERERg6iQi/0yO0Pv2dBwoNFJRESujWsFGPgVVG1kdBIRERExkAq52DcHR7jjTWgZY3QSEZHCcasIg/4HVVTGRUREyjtTTk5OjtEhRIrEytdg2QSjU4iIXJ53aO40dZ9Qo5OIiIhIKaBCLmXLhtmweBTkZBudREQkr0oNoN8X4O5vdBIREREpJVTIpezZ8SV8OQyyM4xOIiKSq3pb6PsJuHgYnURERERKERVyKZv2L4VPB0BGstFJRKS8q9sLes7MXYhSRERE5B9UyKXsOrYRFtwDSSeMTiIi5VWzByD6ZTCZjE4iIiIipZAKuZRt5/6A+X3hxA6jk4hIeXPbOGj9mNEpREREpBRTIZeyLy0JvhgC+34wOomIlAdmC3R/C+r3NjqJiIiIlHIq5FI+ZGfDT0/DbzOMTiIiZZlHZbh7HlRpaHQSERERsQMq5FK+rJ8F3z8B2ZlGJxGRsqZKY7h7PngEGJ1ERERE7IQKuZQ/B36GzwZD2jmjk4hIWRF5N9zxBphdjE4iIiIidkSFXMqnxL2w4G44fdDoJCJiz0wOcNtzcPNIo5OIiIiIHVIhl/Ir9Rx8/RDs+dboJCJij1w84c4PoFZHo5OIiIiInVIhF1k9HZZOgJwso5OIiL3wqwV3zYWKtY1OIiIiInZMhVwE4PBq+Pw+SDphdBIRKe0i74aur4Gzm9FJRERExM6pkItccuFEbik/stroJCJSGjlZofOrENXf6CQiIiJSRqiQi/xTdhYsm5A7jV1E5BK/cLjrI6gYYXQSERERKUNUyEUKsmcxfP1g7sJvIlK+NbgHukzVFHUREREpcirkIpdz7g/46gE4vNLoJCJiBE1RFxERkWKmQi5yJTk5sPYtWPYCZKUZnUZESkpAvdxLmmmKuoiIiBQjFXKRwji+A74cBgk7jU4iIsXJ5Ag3j4Q2Y8HsbHQaERERKeNUyEUKKzMNfn4B1r4NOdlGpxGRouYbBj1nQtVGRicRERGRckKFXORaHVqZu+DbuaNGJxGRImGC5g/CbePAyWJ0GBERESlHVMhFrkfqOfjuCdi20OgkInIjvEKgxwyodrPRSURERKQcUiEXuRGxS+DbRzVaLmKPGt0Ht08EF3ejk4iIiEg5pUIucqPSknLPLf/9PZ1bLmIPfGvmXle8elujk4iIiEg5p0IuUlSOrof/PaKV2EVKK7Mr3DwqdxV1s4vRaURERERUyEWKVFYm/PY2rHgZMpKNTiMil9S4DbpMAZ/qRicRERERsVEhFykOZ+NyF33b973RSUTKN49KED0J6vY0OomIiIhIPirkIsVp7/fw49Nw+oDRSUTKF5MjNB0G7Z4GFw+j04iIiIgUSIVcpLhlZcDv78MvkyH1rNFpRMq+kFa5o+KVGhidREREROSKVMhFSkry6dxzyzfMguxMo9OIlD2+YdBhAtTuYnQSERERkUJRIRcpaYn74KdnIPZHo5OIlA1u/tBmTO51xR3NRqcRERERKTQVchGj7F+We3554m6jk4jYJ7MFWjwENz+q88RFRETELqmQixgpOwu2zINfX81dmV1Ers7kAJF3Q7tnoEIVo9OIiIiIXDcVcpHSICsDNs+FX6fC+T+MTiNSSpkgvDPc+iQE1jc6jIiIiMgNUyEXKU0y02HTR7DyNbjwp9FpREoJE0R0gzZPqIiLiIhImaJCLlIaZabBhtmw6nVIOm50GhFjmBygTne45QkIqGN0GhEREZEip0IuUpplpMCGD2H1dEg6YXQakZJhcoC6veCWx6FibaPTiIiIiBQbFXIRe5CZBts+hbVvQ+Ieo9OIFA8HM9TrDbeMBr8wo9OIiIiIFDsVchF7kpMD+5fCmjfh0C9GpxEpGhZvaDQYmtyvVdNFRESkXFEhF7FXx7fDmrdgxxeQnWF0GpFr5xcOzR/IvYSZs9XoNCIiIiIlToVcxN6d/xPWzYSNsyH1nNFpRK7CBDXaQfOHoOZtYDIZHUhERETEMCrkImVFejLs/BI2fgR//G50GpG8nKwQ2ReaPwj+4UanERERESkVVMhFyqKE3bnFfNtCSDljdBopz6o2gaj+UO9OcPEwOo2IiIhIqaJCLlKWZabBrkWw6SM4vNLoNFJeuFWEBn0haoBGw0VERESuQIVcpLw4dSC3mG/7DC7EG51GyhoHM4TdnjsaHtYRHM1GJxIREREp9VTIRcqb7GyIW5O7OvuuRZB80uhEYs8q3QT1euWulO4RYHQaEREREbuiQi5SnmVl5l7PfMeXsOd/WqVdCqdyQ6jbA+p0B+9qRqcRERERsVsq5CKSKzMdDizLHTnf+z2kJxmdSEoNE1Rp9HcJ9wo2OpCIiIhImaBCLiL5ZaTC4VUQ+yPE/gRnDhudSEqagxmqNoWIrrklvEJVoxOJiIiIlDkq5CJydYn7/i7nR9ZCdobRiaQ4VAiCGu2gZnuo3gZcKxidSERERKRMUyEXkWuTeh4OLs8t5/uXacV2e2Z2heAWuQW8ZnuoWNvoRCIiIiLligq5iNyY0wfhyJq//qzW9PbSzNE5d1X04GYQ2gaq3QxOFqNTiYiIiJRbKuQiUrTO//l3OT+yBhL3Avo1YwiLDwQ1yy3gQc2hchQ4uRqdSkRERET+okIuIsXr4in4Yz3Eb839c3wbnDtqdKqyx+QIfmG5q6EHNYPg5uBXC0wmo5OJiIiIyGWokItIyUs+DfFb/irp23L/e/ogGkkvJGcPqBgBgfUgsD4ENoCAOpp+LiIiImJnVMhFpHRIu5A7vf3Ufjh1IPe/pw/AqYOQfsHodAYwgUcgeFcD71DwrwUV6+QWcV0HXERERKRMUCEXkdLvwom/yvlfZf1sHCSdyF3h/cIJyLhodMLr4+QGXkF/l27varl/fELBK0Tne4uIiIiUcSrkImL/Us/DheOQdDz3v5f+JJ+EtCRIOw/pSbmj8Gl//bcoS7yDEzhbwcmaO23c2Q2svuDm/9cfv3/8/R9fO7sVXQYRERERsTsq5CJSPmVn506FT0uCjBTIyYKcHMjJzvuHS7flAKbcUWsnS+7otpMlt4Q7mo1+NiIiIiJih1TIRURERERERAzgYHQAERERERERkfJIhVxERERERETEACrkIiIiIiIiIgZQIRcRERERERExgAq5iIiIiIiIiAFUyEVEREREREQMoEIuIiIiIiIiYgAVchEREREREREDqJCLiIiIiIiIGECFXERERERERMQAKuQiIiIiIiIiBlAhFxERERERETGACrmIiIiIiIiIAVTIRURERERERAygQi4iIiIiIiJiABVyEREREREREQOokIuIiIiIiIgYQIVcRERERERExAAq5CIiIiIiIiIGUCEXERERERERMYAKuYiIiIiIiIgBVMhFREREREREDKBCLiIiIiIiImIAFXIRERERERERA6iQi4iIiIiIiBhAhVxERERERETEACrkIiIiIiIiIgZQIRcRERERERExgAq5iIiIiIiIiAFUyEVEREREREQMoEIuIiIiIiIiYgAVchEREREREREDqJCLiIiIiIiIGECFXERERERERMQAKuQiIiIiIiIiBlAhFxERERERETGACrmIiIiIiIiIAVTIRURERERERAygQi4iIiIiIiJiABVyEREREREREQOokIuIiIiIiIgYQIVcRERERERExAAq5CIiIiIiIiIGUCEXERERERERMYAKuYiIiIiIiIgBVMhFREREREREDKBCLiIiIiIiImIAFXIRERERERERA6iQi4iIiIiIiBhAhVxERERERETEACrkIiIiIiIiIgZQIRcRERERERExgAq5iIiIiIiIiAFUyEVEREREREQMoEIuIiIiIiIiYgAVchEREREREREDqJCLiIiIiIiIGECFXERERERERMQAKuQiIiIiIiIiBlAhFxERERERETGACrmIiIiIiIiIAVTIRURERERERAygQi4iIiIiIiJigP8H9aZ7z1GsbUUAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "class MechDeliverState(Enum):\n",
     "    \"\"\"Market state\"\"\"\n",
@@ -258,7 +544,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -434,9 +720,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "def _populate_with_mech_requests(data: Dict[str, Any], mech_requests: Dict[str, Any]) -> None:\n",
     "    \"\"\"Populates the markets by appending an array of the associated mech requests\"\"\"\n",
@@ -559,9 +853,291 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Mech requests per state:\n",
+      "State\n",
+      "Unknown          0\n",
+      "Closed        5575\n",
+      "Open             0\n",
+      "Finalizing      10\n",
+      "Pending          0\n",
+      "Name: Num. mech requests, dtype: int64\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_304874/625254711.py:65: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "  print(df.groupby('State')['Num. mech requests'].sum())\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Filtering [<MarketState.PENDING: 2>, <MarketState.FINALIZING: 3>] markets\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe sortable\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Title</th>\n",
+       "      <th>Volume (xDAI):</th>\n",
+       "      <th>Current answer</th>\n",
+       "      <th>Num answers</th>\n",
+       "      <th>State</th>\n",
+       "      <th>Remaining time to challenge (hh:mm)</th>\n",
+       "      <th>Creation (UTC)</th>\n",
+       "      <th>Opening (UTC)</th>\n",
+       "      <th>Answer finalized (UTC)</th>\n",
+       "      <th>Resolution (UTC)</th>\n",
+       "      <th>Num. mech requests</th>\n",
+       "      <th>Mech delivers</th>\n",
+       "      <th>Deliver delay</th>\n",
+       "      <th>Mech deliver state</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4707</th>\n",
+       "      <td><a href=\"https://presagio.pages.dev/markets?id=0xb5836a387d5e09d8bac507c5d6cefe0722f7d8f4\" target=\"_blank\">Will Linkin Park's first tour since Chester Bennington's death with new female singer be successful?</a></td>\n",
+       "      <td>12.95</td>\n",
+       "      <td>Invalid</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Finalizing</td>\n",
+       "      <td>01:09</td>\n",
+       "      <td>2024-09-09T02:13:10</td>\n",
+       "      <td>2024-09-14T00:00:00</td>\n",
+       "      <td>2024-09-16T19:03:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>1</td>\n",
+       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f017012202e67c61753cb0ff159ab6359a42f55a11e558235bf7d61baf5aa933c0af439ac/92648054171603641111311660196475190316091141914299988270091815289213434168881\" title=\"2024-09-15T19:02:35\" target=\"_blank\">[1]</a></td>\n",
+       "      <td>65</td>\n",
+       "      <td>resp_not_determinable</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4723</th>\n",
+       "      <td><a href=\"https://presagio.pages.dev/markets?id=0xbe7d5be56e0526a2be2198f6f798b8a06fc96216\" target=\"_blank\">Will the trial of the three ex-officers over Tyre Nichols' fatal assault conclude by 15 September 2024?</a></td>\n",
+       "      <td>42.19</td>\n",
+       "      <td>No</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Finalizing</td>\n",
+       "      <td>08:44</td>\n",
+       "      <td>2024-09-11T00:04:20</td>\n",
+       "      <td>2024-09-16T00:00:00</td>\n",
+       "      <td>2024-09-17T02:38:35</td>\n",
+       "      <td>--</td>\n",
+       "      <td>1</td>\n",
+       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f0170122036b2019479f1200325c6df7b6998c0dede5f3b45a46964fac08498949023f991/4437897716755637321369775590571818531664901238547876534437742235644565156886\" title=\"2024-09-16T02:38:15\" target=\"_blank\">[1]</a></td>\n",
+       "      <td>95</td>\n",
+       "      <td>resp_no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4724</th>\n",
+       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x8fb80be785f5f0c632a68a3be8bf537be6017dcc\" target=\"_blank\">Will the Michigan vs. Texas college football game result in a Michigan victory on 15 September 2024?</a></td>\n",
+       "      <td>46.76</td>\n",
+       "      <td>No</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Finalizing</td>\n",
+       "      <td>07:10</td>\n",
+       "      <td>2024-09-11T00:20:30</td>\n",
+       "      <td>2024-09-16T00:00:00</td>\n",
+       "      <td>2024-09-17T01:04:40</td>\n",
+       "      <td>--</td>\n",
+       "      <td>1</td>\n",
+       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f01701220aef21bdfa69b39d13039dd8e15b266505e42793f6d4a91296692da8b9e3726b0/48205822738232981613465340996884268569986324477304571860100924039965011479392\" title=\"2024-09-16T01:04:15\" target=\"_blank\">[1]</a></td>\n",
+       "      <td>140</td>\n",
+       "      <td>resp_no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4725</th>\n",
+       "      <td><a href=\"https://presagio.pages.dev/markets?id=0xe132abaf9429dfff393d10b84b6d500c300c602c\" target=\"_blank\">Will the Apple Pay system introduce a major change in its service by 15th September 2024?</a></td>\n",
+       "      <td>27.31</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Pending</td>\n",
+       "      <td>--</td>\n",
+       "      <td>2024-09-11T00:35:15</td>\n",
+       "      <td>2024-09-16T00:00:00</td>\n",
+       "      <td>--</td>\n",
+       "      <td>--</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-</td>\n",
+       "      <td>--</td>\n",
+       "      <td>na</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4726</th>\n",
+       "      <td><a href=\"https://presagio.pages.dev/markets?id=0xdb940da100170463feedcd8288318eb044927a4a\" target=\"_blank\">Will Tom Brady start his NFL broadcasting career on 15 September 2024?</a></td>\n",
+       "      <td>28.81</td>\n",
+       "      <td>No</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Finalizing</td>\n",
+       "      <td>07:56</td>\n",
+       "      <td>2024-09-11T00:51:55</td>\n",
+       "      <td>2024-09-16T00:00:00</td>\n",
+       "      <td>2024-09-17T01:50:10</td>\n",
+       "      <td>--</td>\n",
+       "      <td>1</td>\n",
+       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f01701220b659cec433130d2489895d31332c7a419abf594736a5cb8a3912b38f4f466d69/80111906349490403770150817747482576451522877008857865169965513258822903377236\" title=\"2024-09-16T01:49:20\" target=\"_blank\">[1]</a></td>\n",
+       "      <td>85</td>\n",
+       "      <td>resp_no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4727</th>\n",
+       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x11cf6ec9649097127238ffb789b0703da448d9fa\" target=\"_blank\">Will Apple launch the iPhone 16 by 15 September 2024?</a></td>\n",
+       "      <td>72.31</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Finalizing</td>\n",
+       "      <td>06:54</td>\n",
+       "      <td>2024-09-11T01:06:10</td>\n",
+       "      <td>2024-09-16T00:00:00</td>\n",
+       "      <td>2024-09-17T00:48:25</td>\n",
+       "      <td>--</td>\n",
+       "      <td>1</td>\n",
+       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f0170122052df7169ab02b40865c68196dc9c40970a094318bd958ae1d681a08e2d9fd39f/16112679238669083356689018077456933339827871916273099052591098082353023789867\" title=\"2024-09-16T00:47:05\" target=\"_blank\">[1]</a></td>\n",
+       "      <td>105</td>\n",
+       "      <td>resp_yes</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4728</th>\n",
+       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x7d20e42fa243fb1a4ed751a7d7ef761788caeb47\" target=\"_blank\">Will England batsman Ben Duckett play against Sri Lanka in the third Test on 15 September 2024?</a></td>\n",
+       "      <td>22.39</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Finalizing</td>\n",
+       "      <td>06:39</td>\n",
+       "      <td>2024-09-11T01:20:30</td>\n",
+       "      <td>2024-09-16T00:00:00</td>\n",
+       "      <td>2024-09-17T00:33:10</td>\n",
+       "      <td>--</td>\n",
+       "      <td>1</td>\n",
+       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f01701220c0de68196b214e025282b7b785123dd86d7978159d0a797b9db8caaf6247e639/60910169641023741582434620768195873450696003628815004562519732732972204765239\" title=\"2024-09-16T00:32:15\" target=\"_blank\">[1]</a></td>\n",
+       "      <td>105</td>\n",
+       "      <td>resp_yes</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4729</th>\n",
+       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x6c15389b79d3019d1212bfc71ed36b1865c979ad\" target=\"_blank\">Will Nanoleaf launch another smart switch on or by 15 September 2024?</a></td>\n",
+       "      <td>139.06</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Finalizing</td>\n",
+       "      <td>06:40</td>\n",
+       "      <td>2024-09-11T02:09:10</td>\n",
+       "      <td>2024-09-16T00:00:00</td>\n",
+       "      <td>2024-09-17T00:34:25</td>\n",
+       "      <td>--</td>\n",
+       "      <td>1</td>\n",
+       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f017012207a7f0735ccea5277f73de49038bdf3db58c040a22503c65b8f67a6c97b95f801/72569501911006500840295719139848975791549352470191037599138143021942171429927\" title=\"2024-09-16T00:04:05\" target=\"_blank\">[1]</a></td>\n",
+       "      <td>125</td>\n",
+       "      <td>resp_no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4730</th>\n",
+       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x43ced8e92f058eb58ff7d3df265d19b4c0a829ed\" target=\"_blank\">Will Tropical Storm Francine hit Louisiana as a hurricane on 15 September 2024?</a></td>\n",
+       "      <td>28.57</td>\n",
+       "      <td>No</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Finalizing</td>\n",
+       "      <td>06:39</td>\n",
+       "      <td>2024-09-11T02:23:35</td>\n",
+       "      <td>2024-09-16T00:00:00</td>\n",
+       "      <td>2024-09-17T00:33:45</td>\n",
+       "      <td>--</td>\n",
+       "      <td>1</td>\n",
+       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f0170122013ffdf3c8a3ca9bba298ad202005f4c65b9b9de657e4ecf68480e33b303c1039/57542521151901601877634863248274724031494312743773250226527491982899857585075\" title=\"2024-09-16T00:18:10\" target=\"_blank\">[1]</a></td>\n",
+       "      <td>75</td>\n",
+       "      <td>resp_no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4731</th>\n",
+       "      <td><a href=\"https://presagio.pages.dev/markets?id=0xf21cdac1b6733be5ab7a0c7adfab930d451a0765\" target=\"_blank\">Will the Greece's new tax on cruise ship arrivals be successfully implemented by September 15, 2024?</a></td>\n",
+       "      <td>8.60</td>\n",
+       "      <td>No</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Finalizing</td>\n",
+       "      <td>08:30</td>\n",
+       "      <td>2024-09-11T02:37:00</td>\n",
+       "      <td>2024-09-16T00:00:00</td>\n",
+       "      <td>2024-09-17T02:24:30</td>\n",
+       "      <td>--</td>\n",
+       "      <td>1</td>\n",
+       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f01701220cca3203b29627e095a4d946ef9702ab3fe0a2b030de4617a84275615dfa24322/106500807181004094931363291787200301658438996216963052496846373140433106565815\" title=\"2024-09-16T02:24:15\" target=\"_blank\">[1]</a></td>\n",
+       "      <td>65</td>\n",
+       "      <td>resp_no</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4732</th>\n",
+       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x0dd8f21e39747f2e753a42762dad41b0ae2dc532\" target=\"_blank\">Will the Efficiency Commission proposed by Trump and Elon Musk be officially established by 15 September 2024?</a></td>\n",
+       "      <td>14.73</td>\n",
+       "      <td>No</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Finalizing</td>\n",
+       "      <td>08:58</td>\n",
+       "      <td>2024-09-11T02:47:40</td>\n",
+       "      <td>2024-09-16T00:00:00</td>\n",
+       "      <td>2024-09-17T02:52:10</td>\n",
+       "      <td>--</td>\n",
+       "      <td>1</td>\n",
+       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f01701220bb0ba9a74bd5629bf890478cd20d26d9e1651d6f536320ccb87162b71f856157/21064806733482770901930093558552145888082617270563214360899869092890655038937\" title=\"2024-09-16T02:51:55\" target=\"_blank\">[1]</a></td>\n",
+       "      <td>80</td>\n",
+       "      <td>resp_no</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "\n",
     "def plot_opened_markets(data: Dict[str, Any]) -> None:\n",
@@ -674,9 +1250,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'timezone' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[7], line 46\u001b[0m\n\u001b[1;32m     41\u001b[0m             \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m- \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mitem[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mquestion\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtitle\u001b[39m\u001b[38;5;124m\"\u001b[39m,\u001b[38;5;250m \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     45\u001b[0m \u001b[38;5;66;03m# month= 7\u001b[39;00m\n\u001b[0;32m---> 46\u001b[0m plot_closed_markets(data, \u001b[38;5;28mint\u001b[39m(datetime(\u001b[38;5;241m2024\u001b[39m, \u001b[38;5;241m6\u001b[39m, \u001b[38;5;241m1\u001b[39m, tzinfo\u001b[38;5;241m=\u001b[39m\u001b[43mtimezone\u001b[49m\u001b[38;5;241m.\u001b[39mutc)\u001b[38;5;241m.\u001b[39mtimestamp()), \u001b[38;5;28mint\u001b[39m(datetime(\u001b[38;5;241m2024\u001b[39m, month\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m31\u001b[39m, tzinfo\u001b[38;5;241m=\u001b[39mtimezone\u001b[38;5;241m.\u001b[39mutc)\u001b[38;5;241m.\u001b[39mtimestamp()))\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'timezone' is not defined"
+     ]
+    }
+   ],
    "source": [
     "def plot_closed_markets(data: Dict[str, Any], start_timestamp: int, end_timestamp: int) -> None:\n",
     "    markets = data[\"data\"][\"fixedProductMarketMakers\"]\n",
@@ -723,7 +1311,7 @@
     "\n",
     "\n",
     "# month= 7\n",
-    "# plot_closed_markets(data, int(datetime(2024, 6, 1, tzinfo=timezone.utc).timestamp()), int(datetime(2024, month+1, 31, tzinfo=timezone.utc).timestamp()))\n",
+    "plot_closed_markets(data, int(datetime(2024, 6, 1, tzinfo=timezone.utc).timestamp()), int(datetime(2024, month+1, 31, tzinfo=timezone.utc).timestamp()))\n",
     "\n",
     "\n"
    ]

From 6b5de34d6faf818d4b8ab8b9d77546c1e3fb7bc7 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Mon, 16 Sep 2024 20:02:51 +0200
Subject: [PATCH 18/36] fix: linters

---
 scripts/list_finalizing_markets.ipynb | 193 +++++++++++++++++++++-----
 scripts/mech_request_utils.py         |   6 +-
 scripts/propose_markets.py            |  21 +--
 3 files changed, 174 insertions(+), 46 deletions(-)

diff --git a/scripts/list_finalizing_markets.ipynb b/scripts/list_finalizing_markets.ipynb
index e4a8713..4880b7e 100644
--- a/scripts/list_finalizing_markets.ipynb
+++ b/scripts/list_finalizing_markets.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -60,7 +60,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -75,8 +75,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "             Fetching delivers: 100%|██████████| 101/101 [00:04<00:00, 21.04it/s]\n",
-      "    Finding duplicate delivers: 100%|██████████| 5585/5585 [00:00<00:00, 1526866.63it/s]\n"
+      "             Fetching delivers: 100%|██████████| 92/92 [00:03<00:00, 23.19it/s]\n",
+      "    Finding duplicate delivers: 100%|██████████| 5585/5585 [00:00<00:00, 1668817.26it/s]\n"
      ]
     },
     {
@@ -90,8 +90,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " Processing duplicate delivers: 100%|██████████| 55/55 [00:00<00:00, 305545.32it/s]\n",
-      "    Finding duplicate delivers: 100%|██████████| 5585/5585 [00:00<00:00, 1920097.36it/s]\n"
+      " Processing duplicate delivers: 100%|██████████| 55/55 [00:00<00:00, 243597.38it/s]\n",
+      "    Finding duplicate delivers: 100%|██████████| 5585/5585 [00:00<00:00, 1874464.90it/s]\n"
      ]
     },
     {
@@ -105,14 +105,14 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "        Fetching IPFS contents: 100%|██████████| 18/18 [00:00<00:00, 18.16it/s]\n"
+      "        Fetching IPFS contents: 0it [00:00, ?it/s]\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time of execution: 0:00:14.143137\n"
+      "Time of execution: 0:00:10.719673\n"
      ]
     }
    ],
@@ -122,14 +122,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "DescribeResult(nobs=5493, minmax=(0, 42851), mean=95.28090296741307, variance=900835.6368475459, skewness=34.46180239797064, kurtosis=1489.0988046017505)\n"
+      "DescribeResult(nobs=5493, minmax=(0, 42851), mean=95.28090296741307, variance=900835.6368475459, skewness=34.46180239797065, kurtosis=1489.0988046017505)\n"
      ]
     },
     {
@@ -544,7 +544,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -720,7 +720,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -853,7 +853,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -947,7 +947,7 @@
        "      <td>Invalid</td>\n",
        "      <td>1</td>\n",
        "      <td>Finalizing</td>\n",
-       "      <td>01:09</td>\n",
+       "      <td>01:04</td>\n",
        "      <td>2024-09-09T02:13:10</td>\n",
        "      <td>2024-09-14T00:00:00</td>\n",
        "      <td>2024-09-16T19:03:00</td>\n",
@@ -964,7 +964,7 @@
        "      <td>No</td>\n",
        "      <td>1</td>\n",
        "      <td>Finalizing</td>\n",
-       "      <td>08:44</td>\n",
+       "      <td>08:40</td>\n",
        "      <td>2024-09-11T00:04:20</td>\n",
        "      <td>2024-09-16T00:00:00</td>\n",
        "      <td>2024-09-17T02:38:35</td>\n",
@@ -981,7 +981,7 @@
        "      <td>No</td>\n",
        "      <td>1</td>\n",
        "      <td>Finalizing</td>\n",
-       "      <td>07:10</td>\n",
+       "      <td>07:06</td>\n",
        "      <td>2024-09-11T00:20:30</td>\n",
        "      <td>2024-09-16T00:00:00</td>\n",
        "      <td>2024-09-17T01:04:40</td>\n",
@@ -1015,7 +1015,7 @@
        "      <td>No</td>\n",
        "      <td>1</td>\n",
        "      <td>Finalizing</td>\n",
-       "      <td>07:56</td>\n",
+       "      <td>07:51</td>\n",
        "      <td>2024-09-11T00:51:55</td>\n",
        "      <td>2024-09-16T00:00:00</td>\n",
        "      <td>2024-09-17T01:50:10</td>\n",
@@ -1032,7 +1032,7 @@
        "      <td>Yes</td>\n",
        "      <td>1</td>\n",
        "      <td>Finalizing</td>\n",
-       "      <td>06:54</td>\n",
+       "      <td>06:50</td>\n",
        "      <td>2024-09-11T01:06:10</td>\n",
        "      <td>2024-09-16T00:00:00</td>\n",
        "      <td>2024-09-17T00:48:25</td>\n",
@@ -1049,7 +1049,7 @@
        "      <td>Yes</td>\n",
        "      <td>1</td>\n",
        "      <td>Finalizing</td>\n",
-       "      <td>06:39</td>\n",
+       "      <td>06:34</td>\n",
        "      <td>2024-09-11T01:20:30</td>\n",
        "      <td>2024-09-16T00:00:00</td>\n",
        "      <td>2024-09-17T00:33:10</td>\n",
@@ -1066,7 +1066,7 @@
        "      <td>Yes</td>\n",
        "      <td>2</td>\n",
        "      <td>Finalizing</td>\n",
-       "      <td>06:40</td>\n",
+       "      <td>06:36</td>\n",
        "      <td>2024-09-11T02:09:10</td>\n",
        "      <td>2024-09-16T00:00:00</td>\n",
        "      <td>2024-09-17T00:34:25</td>\n",
@@ -1083,7 +1083,7 @@
        "      <td>No</td>\n",
        "      <td>1</td>\n",
        "      <td>Finalizing</td>\n",
-       "      <td>06:39</td>\n",
+       "      <td>06:35</td>\n",
        "      <td>2024-09-11T02:23:35</td>\n",
        "      <td>2024-09-16T00:00:00</td>\n",
        "      <td>2024-09-17T00:33:45</td>\n",
@@ -1100,7 +1100,7 @@
        "      <td>No</td>\n",
        "      <td>1</td>\n",
        "      <td>Finalizing</td>\n",
-       "      <td>08:30</td>\n",
+       "      <td>08:26</td>\n",
        "      <td>2024-09-11T02:37:00</td>\n",
        "      <td>2024-09-16T00:00:00</td>\n",
        "      <td>2024-09-17T02:24:30</td>\n",
@@ -1117,7 +1117,7 @@
        "      <td>No</td>\n",
        "      <td>1</td>\n",
        "      <td>Finalizing</td>\n",
-       "      <td>08:58</td>\n",
+       "      <td>08:53</td>\n",
        "      <td>2024-09-11T02:47:40</td>\n",
        "      <td>2024-09-16T00:00:00</td>\n",
        "      <td>2024-09-17T02:52:10</td>\n",
@@ -1250,18 +1250,145 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'timezone' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[7], line 46\u001b[0m\n\u001b[1;32m     41\u001b[0m             \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m- \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mitem[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mquestion\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtitle\u001b[39m\u001b[38;5;124m\"\u001b[39m,\u001b[38;5;250m \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     45\u001b[0m \u001b[38;5;66;03m# month= 7\u001b[39;00m\n\u001b[0;32m---> 46\u001b[0m plot_closed_markets(data, \u001b[38;5;28mint\u001b[39m(datetime(\u001b[38;5;241m2024\u001b[39m, \u001b[38;5;241m6\u001b[39m, \u001b[38;5;241m1\u001b[39m, tzinfo\u001b[38;5;241m=\u001b[39m\u001b[43mtimezone\u001b[49m\u001b[38;5;241m.\u001b[39mutc)\u001b[38;5;241m.\u001b[39mtimestamp()), \u001b[38;5;28mint\u001b[39m(datetime(\u001b[38;5;241m2024\u001b[39m, month\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m31\u001b[39m, tzinfo\u001b[38;5;241m=\u001b[39mtimezone\u001b[38;5;241m.\u001b[39mutc)\u001b[38;5;241m.\u001b[39mtimestamp()))\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'timezone' is not defined"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "762\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "- Will there be another attack on Tel Aviv by Hamas by 5 June 2024?\n",
+      "- Will Elon Musk's disputed $58 billion compensation package be approved by institutional investors by 8 June 2024?\n",
+      "- Will Apple TV Plus app be available on Google Pixel 8 Pro or Samsung’s Galaxy Z Fold 5 by 8 June 2024?\n",
+      "- Will Samsung succeed in blocking Oura's smart ring patent claims by 9 June 2024?\n",
+      "- Will Google's adjustments to its AI Overviews significantly improve the search results by 9 June 2024?\n",
+      "- Will Jude Bellingham score a goal in his next match on 10 June 2024?\n",
+      "- Will Meta's v66 update fix the biggest annoyances of Quest 3 by 11 June 2024?\n",
+      "- Will Russian teenager Mirra Andreeva win the French Open 2024?\n",
+      "- Will Australia win the T20 World Cup 2024?\n",
+      "- Will there be a significant drop in the price of iPads on 14 June 2024?\n",
+      "- Will the US economy add more than 272,000 jobs in June 2024?\n",
+      "- Will Apple successfully overtake the leaders in AI technology by 2024?\n",
+      "- Will Lindz McLeod and Z. K. Abraham get engaged by 18 June 2024?\n",
+      "- Will the Philadelphia Phillies win their game on 18 June 2024?\n",
+      "- Will the Ukraine Summit result in a significant diplomatic advancement or agreement on or by 22 June 2024?\n",
+      "- Will the federal bill criminalizing deepfake nudes be passed into law on 28 June 2024?\n",
+      "- Will the term 'flight deck' officially replace 'cockpit' in the Air Line Pilots Association's guidelines on 29 June 2024?\n",
+      "- Will Spotify's new Basic Plan in the United States exceed 1 million subscribers by 29 June 2024?\n",
+      "- Will there be a new Disney Plus movie release on 28 June 2024?\n",
+      "- Will the crisis formed by the Egyptian authorities on 30 June 2024 resolve the issue of the deaths during the annual Muslim pilgrimage to Mecca?\n",
+      "- Will Cameron Young break another PGA Tour record by 1 July 2024?\n",
+      "- Will Noah Lyles win the 100m race at the 2024 Paris Olympics?\n",
+      "- Will the LA Lakers win their first game under the new head coach, JJ Redick, on 1 July 2024?\n",
+      "- Will the Microsoft Surface Laptop 7th Edition be the best-selling laptop on 2 July 2024?\n",
+      "- Will England win their final group match in UEFA Euro 2024 by 2 July 2024?\n",
+      "- Will a significant rise in sea levels occur due to the new Antarctic ice sheet ‘tipping point’ on 2 July 2024?\n",
+      "- Will Donald Trump win Florida's 30 electoral votes in the 2024 election?\n",
+      "- Will US and Vietnam reach an economic agreement on 3 July 2024?\n",
+      "- Will the Toyota and Lexus SUVs recall due to an airbag problem be completed by 3 July 2024?\n",
+      "- Will Phil Foden score a goal in the Euro 2024 finals on 4 July 2024?\n",
+      "- Will a major wildfire occur near Athens by 5 July 2024?\n",
+      "- Will the Detroit Police Department's revised facial recognition policies result in a decrease in wrongful arrests by 6 July 2024?\n",
+      "- Will England win their next match in the Euro 2024 on or by 6 July 2024?\n",
+      "- Will Pro-Ject release a new version of its Configurator by 6 July 2024?\n",
+      "- Will Microsoft's Surface Laptops surpass Apple's MacBooks in performance and repairability by 7 July 2024?\n",
+      "- Will the Supreme Court's ruling on internet speech cases have a significant impact on social media laws in Texas and Florida by 9 July 2024?\n",
+      "- Will Big Green Egg CEO Dan Gertsacov successfully expand the market for grills by 9 July 2024?\n",
+      "- Will the US military send its newest fighter jets to Japan by 11 July 2024?\n",
+      "- Will the southern New Jersey forest fire be completely extinguished by 12 July 2024?\n",
+      "- Will Tadej Pogacar win the Tour de France on 12 July 2024?\n",
+      "- Will Ryan Seacrest receive positive audience reception in the new season of 'Wheel of Fortune' on 13 July 2024?\n",
+      "- Will George Russell win the British Grand Prix in 2024?\n",
+      "- Will the Esports World Cup in Saudi Arabia conclude successfully on 14 July 2024?\n",
+      "- Will Emma Raducanu win a major tennis tournament by 15 July 2024?\n",
+      "- Will Jeffrey Steele release a new song on 16 July 2024?\n",
+      "- Will Marine Le Pen be found guilty of alleged campaign finance violations by 17 July 2024?\n",
+      "- Will the Samsung Galaxy Z Flip 6 be the top-selling phone on 18 July 2024?\n",
+      "- Will the West experience another heatwave resulting in multiple temperature records being broken on 18 July 2024?\n",
+      "- Will the NATO agency complete the $700 mln order for Stinger anti-aircraft missiles by 18 July 2024?\n",
+      "- Will Idaho's Safe Haven Baby Box initiative result in a decrease in infant abandonment by 19 July 2024?\n",
+      "- Will Hakeem Jeffries implement any significant change in policy after his meeting with Joe Biden on 20 July 2024?\n",
+      "- Will Beyonce's 'Cowboy Carter' album remain in the top 10 on Billboard charts on 20 July 2024?\n",
+      "- Will Zelensky hold talks with Russia before the U.S. presidential election on 20 July 2024?\n",
+      "- Will Spain be declared the winner of Euro 2024 on 21 July 2024?\n",
+      "- Will Joe Biden be reelected as President in 2024?\n",
+      "- Will Lionel Messi recover from his injury and participate in the 2024 World Cup?\n",
+      "- Will Goldman Sachs' profits increase in the third quarter of 2024?\n",
+      "- Will the US provide another humanitarian aid package for Sudan by 24 July 2024?\n",
+      "- Will the England football team improve their performance and successfully defend their title in Euro 2025?\n",
+      "- Will Ashok Aliseril Thamarakshan successfully fly the plane he built in his garden on 26 July 2024?\n",
+      "- Will Robert MacIntyre win The Open 2024 on Royal Troon?\n",
+      "- Will a case of Nipah virus be reported in Kerala state on 27 July 2024?\n",
+      "- Will the US Olympic Committee win the lawsuit against Logan Paul's Prime energy drink over copyright violation claims by 28 July 2024?\n",
+      "- Will the polio vaccines be provided to half of Gaza's population by the Israel Defense Forces on 27 July 2024?\n",
+      "- Will Rivian incorporate Apple CarPlay into its autos by 28 July 2024?\n",
+      "- Will the 2024 Paris Olympics be considered the most sustainable Olympic Games ever on 30 July 2024?\n",
+      "- Will Kamala Harris beat Donald Trump in the 2024 Presidential Elections?\n",
+      "- Will Apple's launch of Maps on the web surpass Google Maps in user count by August 1, 2024?\n",
+      "- Will the Kids Online Safety Act be passed by Congress by 1 August 2024?\n",
+      "- Will Microsoft implement the proposed changes to Windows by 1 August 2024?\n",
+      "- Will non-binary athletes win any medals at the Paris Olympics on 1 August 2024?\n",
+      "- Will Harvey Weinstein recover from Covid-19 and double pneumonia by August 1, 2024?\n",
+      "- Will US GDP growth exceed 2.8% in the third quarter of 2024?\n",
+      "- Will the Paris Olympics occur without any major security concerns on 2 August 2024?\n",
+      "- Will the Disney Plus, Hulu, and Max streaming bundle surpass 5 million subscribers by 2nd August 2024?\n",
+      "- Will Kamala Harris win the US Presidential Elections on 3 August 2024?\n",
+      "- Will there be a terrorist attack on French citizens during the Paris Olympics on 3 August 2024?\n",
+      "- Will the sales of smart kettles increase significantly on or before 3 August 2024?\n",
+      "- Will there be a Tropical Hurricane in the Atlantic on 4 August 2024?\n",
+      "- Will Simone Biles win another Olympic medal by 5 August 2024?\n",
+      "- Will Twitch's new app update increase its user base significantly by 5 August 2024?\n",
+      "- Will the Biden administration implement Supreme Court term limits and ethics rules by August 5, 2024?\n",
+      "- Will Simone Biles perform a new move at the Paris 2024 Olympics?\n",
+      "- Will Joaquin Guzman Lopez be found guilty of federal drug trafficking charges on 6 August 2024?\n",
+      "- Will the issue of Online Sexual Harassment rise significantly on 6 August 2024?\n",
+      "- Will the Australian Prime Minister announce the date of the 2025 election on 6 August 2024?\n",
+      "- Will Donald Trump's campaign announce another cryptocurrency fundraiser on 6 August 2024?\n",
+      "- Will the price of the Samsung Galaxy Watch Ultra decrease due to reported issues with peeling paint on or before 6 August 2024?\n",
+      "- Will Samsung's operating profits increase in the third quarter of 2024?\n",
+      "- Will the Paris Olympic Games manage to fill the empty seats by offering discounted ticket prices on or before 8 August 2024?\n",
+      "- Will Jelly Roll hold a concert in memory of the cancer survivor on 9 August 2024?\n",
+      "- Will TikTok increase its usage of Microsoft's AI cloud computing services by 9 August 2024?\n",
+      "- Will the Kids Online Safety Act be passed by the Senate on 9 August 2024?\n",
+      "- Will the US labor market add more than 175,000 jobs by 11 August 2024?\n",
+      "- Will there be a new winner for the Olympic 100m event on 12 August 2024?\n",
+      "- Will the antitrust ruling against Google impact its stock price negatively on 15 August 2024?\n",
+      "- Will the British team win the women's 4x100m relay event at the Paris 2024 Olympics?\n",
+      "- Will the South Korean firm successfully build a solar plant in Georgia by 17 August 2024?\n",
+      "- Will Manchester City be able to fill the void left by Julian Alvarez's exit by 18 August 2024?\n",
+      "- Will the Paris Olympics 2024 closing ceremony viewership surpass that of the opening ceremony by 19 August 2024?\n",
+      "- Will Ethan Holliday join Jackson in the 2025 MLB draft by 24 August 2024?\n",
+      "- Will the AI PC designed for complex tasks & heavy workloads by Giada be released by 23 August 2024?\n",
+      "- Will the real estate rules implemented in the US in August 2024 lead to a significant change in how Americans buy and sell homes by 23 August 2024?\n",
+      "- Will Donald Trump win the 2024 presidential race?\n",
+      "- Will the Google Pixel Watch 3 be available for pre-order by 22 August 2024?\n",
+      "- Will a new electric train be launched in the US on 21 August 2024?\n",
+      "- Will Schlatter Industries AG fully recover from the cyberattack and restore its IT network by 21 August 2024?\n",
+      "- Will the World War II-era bomb in Northern Ireland be successfully removed by 25 August 2024?\n",
+      "- Will the Idaho man arrested for the 51-year-old cold case be convicted on 25 August 2024?\n",
+      "- Will Ethan Holliday be drafted in the 2025 MLB draft by 26 August 2024?\n",
+      "- Will the Biden administration conduct more environmental reviews of new computer chip factories by 26 August 2024?\n",
+      "- Will Google's Essentials app for Windows PC be successful in its launch?\n",
+      "- Will Microsoft Teams' single app for personal and work be the most downloaded app on 30 August 2024?\n",
+      "- Will Lando Norris win the Formula 1 title in 2024?\n",
+      "- Will the number of Chinese migrants encountered at the Southwest Border in August 2024 surpass the number encountered in July 2024?\n"
      ]
     }
    ],
@@ -1310,7 +1437,7 @@
     "\n",
     "\n",
     "\n",
-    "# month= 7\n",
+    "month= 7\n",
     "plot_closed_markets(data, int(datetime(2024, 6, 1, tzinfo=timezone.utc).timestamp()), int(datetime(2024, month+1, 31, tzinfo=timezone.utc).timestamp()))\n",
     "\n",
     "\n"
diff --git a/scripts/mech_request_utils.py b/scripts/mech_request_utils.py
index acbe203..374bd13 100644
--- a/scripts/mech_request_utils.py
+++ b/scripts/mech_request_utils.py
@@ -35,7 +35,7 @@
 TEXT_ALIGNMENT = 30
 MINIMUM_WRITE_FILE_DELAY_SECONDS = 20
 MECH_FROM_BLOCK_RANGE = 50000
-MECH_REQUESTS_JSON_PATH = "mech_requests.json"
+DEFAULT_MECH_REQUESTS_JSON_PATH = "mech_requests.json"
 IPFS_ADDRESS = "https://gateway.autonolas.tech/ipfs/"
 THEGRAPH_ENDPOINT = "https://api.studio.thegraph.com/query/57238/mech/0.0.2"
 THREAD_POOL_EXECUTOR_MAX_WORKERS = 10
@@ -249,7 +249,7 @@ def _process_duplicate_delivers(mech_requests: Dict[str, Any]) -> None:
 
 
 last_write_time = 0.0
-mech_events_json_path = MECH_REQUESTS_JSON_PATH
+mech_events_json_path = DEFAULT_MECH_REQUESTS_JSON_PATH
 
 
 def _write_mech_events_to_file(
@@ -274,7 +274,7 @@ def _write_mech_events_to_file(
 
 
 def get_mech_requests(
-    sender: str, json_path: str = MECH_REQUESTS_JSON_PATH
+    sender: str, json_path: str = DEFAULT_MECH_REQUESTS_JSON_PATH
 ) -> Dict[str, Any]:
     """Get Mech requests populated with the associated response and IPFS contents."""
     start_time = time.time()
diff --git a/scripts/propose_markets.py b/scripts/propose_markets.py
index 1eaea24..dd8b228 100644
--- a/scripts/propose_markets.py
+++ b/scripts/propose_markets.py
@@ -111,20 +111,20 @@ def __init__(self, api_key: str):
 
     def __enter__(self) -> OpenAI:
         """__enter__"""
-        global client
+        global client  # pylint: disable=global-statement
         if client is None:
             client = OpenAI(api_key=self.api_key)
         return client
 
     def __exit__(self, exc_type, exc_value, traceback) -> None:
         """__exit__"""
-        global client
+        global client  # pylint: disable=global-statement
         if client is not None:
             client.close()
             client = None
 
 
-class Context:
+class Context:  # pylint: disable=too-few-public-methods
     """Mock class Context"""
 
     def __init__(self):
@@ -142,15 +142,15 @@ def __init__(self):
         self.logger.addHandler(console_handler)
 
 
-class Params:
+class Params:  # pylint: disable=too-few-public-methods
     """Mock class Params"""
 
 
-class SynchronizedData:
+class SynchronizedData:  # pylint: disable=too-few-public-methods
     """Mock class SynchronizedData"""
 
 
-class DataGatheringRound:
+class DataGatheringRound:  # pylint: disable=too-few-public-methods
     """Mock class DataGatheringRound"""
 
     ERROR_PAYLOAD = "ERROR_PAYLOAD"
@@ -159,7 +159,7 @@ class DataGatheringRound:
     SKIP_MARKET_PROPOSAL_PAYLOAD = "SKIP_MARKET_PROPOSAL_PAYLOAD"
 
 
-class MarketProposalBehaviourMock:
+class MarketProposalBehaviourMock:  # pylint: disable=too-few-public-methods
     """Mock class MarketProposalBehaviourMock"""
 
     params = Params()
@@ -212,6 +212,7 @@ def __init__(self):
             "techradar",
         ]
         self.params.newsapi_api_key = os.getenv("NEWSAPI_API_KEY")
+        self.synchronized_data.gathered_data = None
 
     def _gather_data(self) -> str:
         """Auxiliary method to collect data from endpoint."""
@@ -276,7 +277,7 @@ def _get_llm_response(
             )
         )
 
-    def _get_response(self, prompt_template: str, prompt_values: Dict[str, str]):
+    def _get_response(self, prompt_template: str, prompt_values: Dict[str, str]):  # pylint: disable=no-self-use
         """Get response from openai."""
 
         # Format the prompt using input variables and prompt_values
@@ -315,11 +316,11 @@ def main() -> None:
     """Main method"""
 
     mp_behaviour = MarketProposalBehaviourMock()
-    mp_behaviour._gather_data()
+    mp_behaviour._gather_data()  # pylint: disable=protected-access
     news_articles = mp_behaviour.synchronized_data.gathered_data
     k = min(40, len(news_articles))
     selected_news_articles = random.sample(news_articles, k)
-    mp_behaviour._get_llm_response("30 July 2024", selected_news_articles)
+    mp_behaviour._get_llm_response("30 July 2024", selected_news_articles)  # pylint: disable=protected-access
 
 
 if __name__ == "__main__":

From be04cc773dc596767b384b24155ef59787adaeb4 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Mon, 16 Sep 2024 20:15:11 +0200
Subject: [PATCH 19/36] chore: linters

---
 scripts/mech_request_utils.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/mech_request_utils.py b/scripts/mech_request_utils.py
index 374bd13..baa0513 100644
--- a/scripts/mech_request_utils.py
+++ b/scripts/mech_request_utils.py
@@ -199,7 +199,7 @@ def _populate_missing_ipfs_contents(mech_requests: Dict[str, Any]) -> int:
             try:
                 future.result()
                 _write_mech_events_to_file(mech_requests)
-            except Exception as e:
+            except Exception as e:  # pylint: disable=broad-except
                 error_count += 1
                 print(f"Error occurred: {e}")
 

From aac0e73ec67adea319c13bfc9536bd8f1becd510 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Mon, 16 Sep 2024 20:30:23 +0200
Subject: [PATCH 20/36] fix: linters

---
 scripts/propose_markets.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/scripts/propose_markets.py b/scripts/propose_markets.py
index dd8b228..134086a 100644
--- a/scripts/propose_markets.py
+++ b/scripts/propose_markets.py
@@ -277,7 +277,9 @@ def _get_llm_response(
             )
         )
 
-    def _get_response(self, prompt_template: str, prompt_values: Dict[str, str]):  # pylint: disable=no-self-use
+    def _get_response(
+        self, prompt_template: str, prompt_values: Dict[str, str]
+    ):  # pylint: disable=no-self-use
         """Get response from openai."""
 
         # Format the prompt using input variables and prompt_values
@@ -320,7 +322,9 @@ def main() -> None:
     news_articles = mp_behaviour.synchronized_data.gathered_data
     k = min(40, len(news_articles))
     selected_news_articles = random.sample(news_articles, k)
-    mp_behaviour._get_llm_response("30 July 2024", selected_news_articles)  # pylint: disable=protected-access
+    mp_behaviour._get_llm_response(
+        "30 July 2024", selected_news_articles
+    )  # pylint: disable=protected-access
 
 
 if __name__ == "__main__":

From fb4210da4d4df45dcf118f1c9210373f788fad8f Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Mon, 16 Sep 2024 20:35:11 +0200
Subject: [PATCH 21/36] fix: linters

---
 scripts/propose_markets.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/scripts/propose_markets.py b/scripts/propose_markets.py
index 134086a..0c5b544 100644
--- a/scripts/propose_markets.py
+++ b/scripts/propose_markets.py
@@ -322,9 +322,9 @@ def main() -> None:
     news_articles = mp_behaviour.synchronized_data.gathered_data
     k = min(40, len(news_articles))
     selected_news_articles = random.sample(news_articles, k)
-    mp_behaviour._get_llm_response(
+    mp_behaviour._get_llm_response(  # pylint: disable=protected-access
         "30 July 2024", selected_news_articles
-    )  # pylint: disable=protected-access
+    )
 
 
 if __name__ == "__main__":

From 0d6c4f49a28459063dfb66ae73095a0c3124e425 Mon Sep 17 00:00:00 2001
From: David Vilela <dvilelaf@gmail.com>
Date: Mon, 16 Sep 2024 18:35:07 +0200
Subject: [PATCH 22/36] fix: missing imports, remove unused code

---
 packages/packages.json                        |  8 +--
 .../agents/market_maker/aea-config.yaml       |  4 +-
 .../valory/services/market_maker/service.yaml |  2 +-
 .../market_creation_manager_abci/handlers.py  | 58 ++++---------------
 .../market_creation_manager_abci/skill.yaml   |  3 +-
 .../skills/market_maker_abci/skill.yaml       |  2 +-
 6 files changed, 21 insertions(+), 56 deletions(-)

diff --git a/packages/packages.json b/packages/packages.json
index eef8d68..8e78ea0 100644
--- a/packages/packages.json
+++ b/packages/packages.json
@@ -3,10 +3,10 @@
         "contract/valory/fpmm_deterministic_factory/0.1.0": "bafybeigjfuahxhb2y4q5ueayry55boaojcryoamwr6fshgayf5s762vpl4",
         "contract/valory/wxdai/0.1.0": "bafybeidalocwbhmbto6ii6adldtpcughtdt6j3v4tv36utevjk2wrdyqie",
         "contract/valory/fpmm/0.1.0": "bafybeiai2ruj27nnglvn7yc5atojyojo3fkmofw6wrjgz2ybps2uwdizx4",
-        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeie6623xr5okk7e5xgpy5v4sxwetqhetsetrjb7zku5petdhnvsqay",
-        "skill/valory/market_maker_abci/0.1.0": "bafybeiefowjjy7i5xoh5fn6ygufr5ufglzdpkgf6e52xnohur467kjmici",
-        "agent/valory/market_maker/0.1.0": "bafybeifi4x7d7zuxjysoi64ii4mferdhsy3g6vetmcbsfkj5ta7s5bxs3a",
-        "service/valory/market_maker/0.1.0": "bafybeiay5huorcnu2achmf2ifn6ycig37lzgc2kbkyilo4yj3khtiooce4"
+        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeibtzxugioeyv7gxfxdrvnzd42sivfwowbvawijq6isjni2rthgqge",
+        "skill/valory/market_maker_abci/0.1.0": "bafybeidmlakgpe7vvy6u5lo64txpdgy2ec4tqg4j4johla2qdhsf75ywwe",
+        "agent/valory/market_maker/0.1.0": "bafybeiclurjy7vwcbdr3alizu7s7bliqb5uwdqdeccyfkcpnawwn76l7ki",
+        "service/valory/market_maker/0.1.0": "bafybeidczigpnsipptof5sl44ttkqzr64pupymdtvz52fq4u7ghwspzw2q"
     },
     "third_party": {
         "protocol/valory/contract_api/1.0.0": "bafybeidgu7o5llh26xp3u3ebq3yluull5lupiyeu6iooi2xyymdrgnzq5i",
diff --git a/packages/valory/agents/market_maker/aea-config.yaml b/packages/valory/agents/market_maker/aea-config.yaml
index 851e024..de452e0 100644
--- a/packages/valory/agents/market_maker/aea-config.yaml
+++ b/packages/valory/agents/market_maker/aea-config.yaml
@@ -37,9 +37,9 @@ protocols:
 skills:
 - valory/abstract_abci:0.1.0:bafybeieh4ei3qdelmacnm7vwq57phoewgumr3udvxt6pybmuggwc3yk65q
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
-- valory/market_maker_abci:0.1.0:bafybeiefowjjy7i5xoh5fn6ygufr5ufglzdpkgf6e52xnohur467kjmici
+- valory/market_maker_abci:0.1.0:bafybeidmlakgpe7vvy6u5lo64txpdgy2ec4tqg4j4johla2qdhsf75ywwe
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
-- valory/market_creation_manager_abci:0.1.0:bafybeie6623xr5okk7e5xgpy5v4sxwetqhetsetrjb7zku5petdhnvsqay
+- valory/market_creation_manager_abci:0.1.0:bafybeibtzxugioeyv7gxfxdrvnzd42sivfwowbvawijq6isjni2rthgqge
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
diff --git a/packages/valory/services/market_maker/service.yaml b/packages/valory/services/market_maker/service.yaml
index 47fe286..96d130f 100644
--- a/packages/valory/services/market_maker/service.yaml
+++ b/packages/valory/services/market_maker/service.yaml
@@ -7,7 +7,7 @@ license: Apache-2.0
 fingerprint:
   README.md: bafybeibwz3af6326msp4h3kqehijvmyhaytvyfbo3o2npc2w4b6zrg6pfq
 fingerprint_ignore_patterns: []
-agent: valory/market_maker:0.1.0:bafybeifi4x7d7zuxjysoi64ii4mferdhsy3g6vetmcbsfkj5ta7s5bxs3a
+agent: valory/market_maker:0.1.0:bafybeiclurjy7vwcbdr3alizu7s7bliqb5uwdqdeccyfkcpnawwn76l7ki
 number_of_agents: 1
 deployment:
   agent:
diff --git a/packages/valory/skills/market_creation_manager_abci/handlers.py b/packages/valory/skills/market_creation_manager_abci/handlers.py
index 7a3afdf..0e0b745 100644
--- a/packages/valory/skills/market_creation_manager_abci/handlers.py
+++ b/packages/valory/skills/market_creation_manager_abci/handlers.py
@@ -27,7 +27,9 @@
 from urllib.parse import urlparse
 
 from aea.configurations.data_types import PublicId
+from aea.protocols.base import Message
 
+from packages.valory.protocols.http import HttpMessage
 from packages.valory.protocols.llm import LlmMessage
 from packages.valory.skills.abstract_round_abci.handlers import (
     ABCIRoundHandler as BaseABCIRoundHandler,
@@ -36,6 +38,9 @@
 from packages.valory.skills.abstract_round_abci.handlers import (
     ContractApiHandler as BaseContractApiHandler,
 )
+from packages.valory.skills.abstract_round_abci.handlers import (
+    HttpHandler as BaseHttpHandler,
+)
 from packages.valory.skills.abstract_round_abci.handlers import (
     IpfsHandler as BaseIpfsHandler,
 )
@@ -48,6 +53,12 @@
 from packages.valory.skills.abstract_round_abci.handlers import (
     TendermintHandler as BaseTendermintHandler,
 )
+from packages.valory.skills.market_creation_manager_abci.dialogues import (
+    HttpDialogue,
+    HttpDialogues,
+)
+from packages.valory.skills.market_creation_manager_abci.models import SharedState
+from packages.valory.skills.market_creation_manager_abci.rounds import SynchronizedData
 
 
 ABCIHandler = BaseABCIRoundHandler
@@ -115,7 +126,6 @@ def setup(self) -> None:
             (HttpMethod.POST.value,): [],
             (HttpMethod.GET.value, HttpMethod.HEAD.value): [
                 (health_url_regex, self._handle_get_health),
-                (self.handler_url_regex, self._get_data),
             ],
         }
 
@@ -256,40 +266,6 @@ def _send_ok_response(
         self.context.logger.info("Responding with: {}".format(http_response))
         self.context.outbox.put_message(message=http_response)
 
-    def _send_not_ready_response(
-        self, http_msg: HttpMessage, http_dialogue: HttpDialogue
-    ) -> None:
-        """Send an not ready response"""
-        http_response = http_dialogue.reply(
-            performative=HttpMessage.Performative.RESPONSE,
-            target_message=http_msg,
-            version=http_msg.version,
-            status_code=HttpCode.NOT_READY.value,
-            status_text="Data not ready",
-            headers=http_msg.headers,
-            body=b"Data not ready",
-        )
-        # Send response
-        self.context.logger.info("Responding with: {}".format(http_response))
-        self.context.outbox.put_message(message=http_response)
-
-    def _send_not_found_response(
-        self, http_msg: HttpMessage, http_dialogue: HttpDialogue
-    ) -> None:
-        """Send an not found response"""
-        http_response = http_dialogue.reply(
-            performative=HttpMessage.Performative.RESPONSE,
-            target_message=http_msg,
-            version=http_msg.version,
-            status_code=HttpCode.NOT_FOUND_CODE.value,
-            status_text="Not found",
-            headers=http_msg.headers,
-            body=b"",
-        )
-        # Send response
-        self.context.logger.info("Responding with: {}".format(http_response))
-        self.context.outbox.put_message(message=http_response)
-
     def _handle_get_health(
         self, http_msg: HttpMessage, http_dialogue: HttpDialogue
     ) -> None:
@@ -340,15 +316,3 @@ def _handle_get_health(
         }
 
         self._send_ok_response(http_msg, http_dialogue, data)
-
-    def _get_data(self, http_msg: HttpMessage, http_dialogue: HttpDialogue) -> None:
-        """Get data and status code for response."""
-        if not self.synchronized_data.data_json:
-            self._send_not_ready_response(http_msg, http_dialogue)
-            return
-
-        data = {
-            "payload": self.synchronized_data.data_json,
-            "signatures": self.synchronized_data.participant_to_signatures,
-        }
-        self._send_ok_response(http_msg, http_dialogue, data)
diff --git a/packages/valory/skills/market_creation_manager_abci/skill.yaml b/packages/valory/skills/market_creation_manager_abci/skill.yaml
index 0007c80..2657a37 100644
--- a/packages/valory/skills/market_creation_manager_abci/skill.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/skill.yaml
@@ -13,7 +13,7 @@ fingerprint:
   behaviours.py: bafybeibaeqww3qnhiqck3pi7t276azxv7jt4tzscex25onaoobtrakqnoi
   dialogues.py: bafybeicmaufkl7vdomnfciv7lw4536ssld7x4uemdapuhsyvfpd4ncibza
   fsm_specification.yaml: bafybeiebwzp5jirrwo475r2hzwrirx45jlxtp5duo4275phypqfkueybtq
-  handlers.py: bafybeibcswwwehvrtwaepsc4dndrjsmi3pms6zq2u7p6qxnj7qbnifl4qe
+  handlers.py: bafybeibxiuiviykaf3m2ehm7vddb6ymdkekjmq7h4gizfni4f4zvk5gj7a
   models.py: bafybeicfdblqzyj6ex3qvjmbejjdt6qwecblfsgjdrfj7rydqgo6h7xasm
   payloads.py: bafybeibu7sptf43adazxpyzwtfpph7bgfhtwiotg5sdlcwjt6iw3idqn7a
   rounds.py: bafybeifnezj3cw323fj5xnieuucfqarznzlpesaj75huylfkpeyuunqkvy
@@ -33,6 +33,7 @@ protocols:
 - valory/llm:1.0.0:bafybeihj2orqapokafg7co3wlogwgf6cckaaj2bz3nuv4rm3opkoyhrlp4
 - valory/contract_api:1.0.0:bafybeidgu7o5llh26xp3u3ebq3yluull5lupiyeu6iooi2xyymdrgnzq5i
 - valory/ledger_api:1.0.0:bafybeihdk6psr4guxmbcrc26jr2cbgzpd5aljkqvpwo64bvaz7tdti2oni
+- valory/http:1.0.0:bafybeifugzl63kfdmwrxwphrnrhj7bn6iruxieme3a4ntzejf6kmtuwmae
 skills:
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
diff --git a/packages/valory/skills/market_maker_abci/skill.yaml b/packages/valory/skills/market_maker_abci/skill.yaml
index 0b96597..c1b77e4 100644
--- a/packages/valory/skills/market_maker_abci/skill.yaml
+++ b/packages/valory/skills/market_maker_abci/skill.yaml
@@ -24,7 +24,7 @@ skills:
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
-- valory/market_creation_manager_abci:0.1.0:bafybeie6623xr5okk7e5xgpy5v4sxwetqhetsetrjb7zku5petdhnvsqay
+- valory/market_creation_manager_abci:0.1.0:bafybeibtzxugioeyv7gxfxdrvnzd42sivfwowbvawijq6isjni2rthgqge
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
 - valory/mech_interact_abci:0.1.0:bafybeieryw7rk2tspyxx46loqqqimr2l5vvhtshiyg2mmdxijzb7pdoi6a

From 5bdd85565e7d3f09596f85a1ec34cf1220baa571 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Mon, 16 Sep 2024 20:49:19 +0200
Subject: [PATCH 23/36] chore: clear outputs

---
 scripts/list_finalizing_markets.ipynb | 735 +-------------------------
 1 file changed, 10 insertions(+), 725 deletions(-)

diff --git a/scripts/list_finalizing_markets.ipynb b/scripts/list_finalizing_markets.ipynb
index 4880b7e..219ab72 100644
--- a/scripts/list_finalizing_markets.ipynb
+++ b/scripts/list_finalizing_markets.ipynb
@@ -60,304 +60,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "          Fetching requests...\n",
-      "           5585 requests found\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "             Fetching delivers: 100%|██████████| 92/92 [00:03<00:00, 23.19it/s]\n",
-      "    Finding duplicate delivers: 100%|██████████| 5585/5585 [00:00<00:00, 1668817.26it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Duplicate deliver ids found: 55\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      " Processing duplicate delivers: 100%|██████████| 55/55 [00:00<00:00, 243597.38it/s]\n",
-      "    Finding duplicate delivers: 100%|██████████| 5585/5585 [00:00<00:00, 1874464.90it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Duplicate deliver ids found: 0\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "        Fetching IPFS contents: 0it [00:00, ?it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Time of execution: 0:00:10.719673\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "mech_requests = get_mech_requests(MARKET_CREATOR_ADDRESS)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "DescribeResult(nobs=5493, minmax=(0, 42851), mean=95.28090296741307, variance=900835.6368475459, skewness=34.46180239797065, kurtosis=1489.0988046017505)\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Request ID</th>\n",
-       "      <th>Prompt</th>\n",
-       "      <th>Block Timestamp (UTC)</th>\n",
-       "      <th>Result</th>\n",
-       "      <th>Deliver Block Timestamp (UTC)</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>21064806733482770901930093558552145888082617270563214360899869092890655038937</td>\n",
-       "      <td>Will the Efficiency Commission proposed by Trump and Elon Musk be officially established by 15 September 2024?</td>\n",
-       "      <td>2024-09-16 02:50:35</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-16 02:51:55</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>4437897716755637321369775590571818531664901238547876534437742235644565156886</td>\n",
-       "      <td>Will the trial of the three ex-officers over Tyre Nichols' fatal assault conclude by 15 September 2024?</td>\n",
-       "      <td>2024-09-16 02:36:40</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-16 02:38:15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>106500807181004094931363291787200301658438996216963052496846373140433106565815</td>\n",
-       "      <td>Will the Greece's new tax on cruise ship arrivals be successfully implemented by September 15, 2024?</td>\n",
-       "      <td>2024-09-16 02:23:10</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-16 02:24:15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>80111906349490403770150817747482576451522877008857865169965513258822903377236</td>\n",
-       "      <td>Will Tom Brady start his NFL broadcasting career on 15 September 2024?</td>\n",
-       "      <td>2024-09-16 01:47:55</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-16 01:49:20</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>48205822738232981613465340996884268569986324477304571860100924039965011479392</td>\n",
-       "      <td>Will the Michigan vs. Texas college football game result in a Michigan victory on 15 September 2024?</td>\n",
-       "      <td>2024-09-16 01:01:55</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-16 01:04:15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>16112679238669083356689018077456933339827871916273099052591098082353023789867</td>\n",
-       "      <td>Will Apple launch the iPhone 16 by 15 September 2024?</td>\n",
-       "      <td>2024-09-16 00:45:20</td>\n",
-       "      <td>{\"has_occurred\": true, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-16 00:47:05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>60910169641023741582434620768195873450696003628815004562519732732972204765239</td>\n",
-       "      <td>Will England batsman Ben Duckett play against Sri Lanka in the third Test on 15 September 2024?</td>\n",
-       "      <td>2024-09-16 00:30:30</td>\n",
-       "      <td>{\"has_occurred\": true, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-16 00:32:15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>57542521151901601877634863248274724031494312743773250226527491982899857585075</td>\n",
-       "      <td>Will Tropical Storm Francine hit Louisiana as a hurricane on 15 September 2024?</td>\n",
-       "      <td>2024-09-16 00:16:55</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-16 00:18:10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>72569501911006500840295719139848975791549352470191037599138143021942171429927</td>\n",
-       "      <td>Will Nanoleaf launch another smart switch on or by 15 September 2024?</td>\n",
-       "      <td>2024-09-16 00:02:00</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-16 00:04:05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>92648054171603641111311660196475190316091141914299988270091815289213434168881</td>\n",
-       "      <td>Will Linkin Park's first tour since Chester Bennington's death with new female singer be successful?</td>\n",
-       "      <td>2024-09-15 19:01:30</td>\n",
-       "      <td>{\"has_occurred\": null, \"is_determinable\": false, \"is_valid\": null}</td>\n",
-       "      <td>2024-09-15 19:02:35</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>85490155222795886836663434275419435319387743706273866966854884180473711591756</td>\n",
-       "      <td>Will the average ransomware demand increase beyond $1.5 Million by 14 September 2024?</td>\n",
-       "      <td>2024-09-15 02:40:35</td>\n",
-       "      <td>{\"has_occurred\": true, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-15 02:42:15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>114939140929858328909694889230609907708570009913616390794057872609748087455463</td>\n",
-       "      <td>Will the Paris 2024 Paralympics conclude with a party at Stade de France on 14 September 2024?</td>\n",
-       "      <td>2024-09-15 02:25:00</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-15 02:27:05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>6341693369303502543872732160586073324491742660341377744136794321409534959185</td>\n",
-       "      <td>Will the 7-Eleven owner accept the buyout offer from the rival by 14 September 2024?</td>\n",
-       "      <td>2024-09-15 02:11:25</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-15 02:12:20</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>72821698585825024273778535485844740176885219960040646048211562082443595673843</td>\n",
-       "      <td>Will Green Day resume their Detroit concert on 14 September 2024 after the unauthorized drone incident?</td>\n",
-       "      <td>2024-09-15 01:56:40</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-15 01:57:50</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>54833293223384948484532508672512425786348419181508680299938266857484803798857</td>\n",
-       "      <td>Will the Boeing Starliner return to Earth on 14 September 2024?</td>\n",
-       "      <td>2024-09-15 01:41:45</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-15 01:43:05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>48776650721525493467112671041418269730026082627051277348429091925520809126065</td>\n",
-       "      <td>Will Roblox reach 1 billion users by 14 September 2024?</td>\n",
-       "      <td>2024-09-15 01:28:40</td>\n",
-       "      <td>{\"has_occurred\": true, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-15 01:29:30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>58457842086375110315369510040114175272235888481436660455065643761743043700047</td>\n",
-       "      <td>Will Jack Draper reach the US Open 2024 men's singles final by 14 September 2024?</td>\n",
-       "      <td>2024-09-15 01:15:00</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-15 01:16:10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>27828879275610427186099244915945471790869020321456831384827144291335293535677</td>\n",
-       "      <td>Will the Microsoft Windows Wi-Fi drivers vulnerability (CVE-2024-30078) be patched by 14 September 2024?</td>\n",
-       "      <td>2024-09-15 00:29:35</td>\n",
-       "      <td>{\"has_occurred\": true, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-15 00:30:55</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>41691833129970760372896407113323368099222580666047698968574503866153106448770</td>\n",
-       "      <td>Will the grand jury return a new indictment against Harvey Weinstein on 14 September 2024?</td>\n",
-       "      <td>2024-09-15 00:14:20</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-15 00:15:45</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>46475717459981100153853097561915444319177025978604428122555889298562576319577</td>\n",
-       "      <td>Will the data poisoning attacks on AI/ML models increase by 14 September 2024?</td>\n",
-       "      <td>2024-09-15 00:00:15</td>\n",
-       "      <td>{\"has_occurred\": false, \"is_determinable\": true, \"is_valid\": true}</td>\n",
-       "      <td>2024-09-15 00:01:20</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>"
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-      "text/plain": [
-       "<Figure size 1200x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "class MechDeliverState(Enum):\n",
     "    \"\"\"Market state\"\"\"\n",
@@ -720,17 +434,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "def _populate_with_mech_requests(data: Dict[str, Any], mech_requests: Dict[str, Any]) -> None:\n",
     "    \"\"\"Populates the markets by appending an array of the associated mech requests\"\"\"\n",
@@ -853,291 +559,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "Mech requests per state:\n",
-      "State\n",
-      "Unknown          0\n",
-      "Closed        5575\n",
-      "Open             0\n",
-      "Finalizing      10\n",
-      "Pending          0\n",
-      "Name: Num. mech requests, dtype: int64\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_304874/625254711.py:65: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
-      "  print(df.groupby('State')['Num. mech requests'].sum())\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Filtering [<MarketState.PENDING: 2>, <MarketState.FINALIZING: 3>] markets\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<table border=\"1\" class=\"dataframe sortable\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Title</th>\n",
-       "      <th>Volume (xDAI):</th>\n",
-       "      <th>Current answer</th>\n",
-       "      <th>Num answers</th>\n",
-       "      <th>State</th>\n",
-       "      <th>Remaining time to challenge (hh:mm)</th>\n",
-       "      <th>Creation (UTC)</th>\n",
-       "      <th>Opening (UTC)</th>\n",
-       "      <th>Answer finalized (UTC)</th>\n",
-       "      <th>Resolution (UTC)</th>\n",
-       "      <th>Num. mech requests</th>\n",
-       "      <th>Mech delivers</th>\n",
-       "      <th>Deliver delay</th>\n",
-       "      <th>Mech deliver state</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>4707</th>\n",
-       "      <td><a href=\"https://presagio.pages.dev/markets?id=0xb5836a387d5e09d8bac507c5d6cefe0722f7d8f4\" target=\"_blank\">Will Linkin Park's first tour since Chester Bennington's death with new female singer be successful?</a></td>\n",
-       "      <td>12.95</td>\n",
-       "      <td>Invalid</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Finalizing</td>\n",
-       "      <td>01:04</td>\n",
-       "      <td>2024-09-09T02:13:10</td>\n",
-       "      <td>2024-09-14T00:00:00</td>\n",
-       "      <td>2024-09-16T19:03:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>1</td>\n",
-       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f017012202e67c61753cb0ff159ab6359a42f55a11e558235bf7d61baf5aa933c0af439ac/92648054171603641111311660196475190316091141914299988270091815289213434168881\" title=\"2024-09-15T19:02:35\" target=\"_blank\">[1]</a></td>\n",
-       "      <td>65</td>\n",
-       "      <td>resp_not_determinable</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4723</th>\n",
-       "      <td><a href=\"https://presagio.pages.dev/markets?id=0xbe7d5be56e0526a2be2198f6f798b8a06fc96216\" target=\"_blank\">Will the trial of the three ex-officers over Tyre Nichols' fatal assault conclude by 15 September 2024?</a></td>\n",
-       "      <td>42.19</td>\n",
-       "      <td>No</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Finalizing</td>\n",
-       "      <td>08:40</td>\n",
-       "      <td>2024-09-11T00:04:20</td>\n",
-       "      <td>2024-09-16T00:00:00</td>\n",
-       "      <td>2024-09-17T02:38:35</td>\n",
-       "      <td>--</td>\n",
-       "      <td>1</td>\n",
-       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f0170122036b2019479f1200325c6df7b6998c0dede5f3b45a46964fac08498949023f991/4437897716755637321369775590571818531664901238547876534437742235644565156886\" title=\"2024-09-16T02:38:15\" target=\"_blank\">[1]</a></td>\n",
-       "      <td>95</td>\n",
-       "      <td>resp_no</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4724</th>\n",
-       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x8fb80be785f5f0c632a68a3be8bf537be6017dcc\" target=\"_blank\">Will the Michigan vs. Texas college football game result in a Michigan victory on 15 September 2024?</a></td>\n",
-       "      <td>46.76</td>\n",
-       "      <td>No</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Finalizing</td>\n",
-       "      <td>07:06</td>\n",
-       "      <td>2024-09-11T00:20:30</td>\n",
-       "      <td>2024-09-16T00:00:00</td>\n",
-       "      <td>2024-09-17T01:04:40</td>\n",
-       "      <td>--</td>\n",
-       "      <td>1</td>\n",
-       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f01701220aef21bdfa69b39d13039dd8e15b266505e42793f6d4a91296692da8b9e3726b0/48205822738232981613465340996884268569986324477304571860100924039965011479392\" title=\"2024-09-16T01:04:15\" target=\"_blank\">[1]</a></td>\n",
-       "      <td>140</td>\n",
-       "      <td>resp_no</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4725</th>\n",
-       "      <td><a href=\"https://presagio.pages.dev/markets?id=0xe132abaf9429dfff393d10b84b6d500c300c602c\" target=\"_blank\">Will the Apple Pay system introduce a major change in its service by 15th September 2024?</a></td>\n",
-       "      <td>27.31</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Pending</td>\n",
-       "      <td>--</td>\n",
-       "      <td>2024-09-11T00:35:15</td>\n",
-       "      <td>2024-09-16T00:00:00</td>\n",
-       "      <td>--</td>\n",
-       "      <td>--</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-</td>\n",
-       "      <td>--</td>\n",
-       "      <td>na</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4726</th>\n",
-       "      <td><a href=\"https://presagio.pages.dev/markets?id=0xdb940da100170463feedcd8288318eb044927a4a\" target=\"_blank\">Will Tom Brady start his NFL broadcasting career on 15 September 2024?</a></td>\n",
-       "      <td>28.81</td>\n",
-       "      <td>No</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Finalizing</td>\n",
-       "      <td>07:51</td>\n",
-       "      <td>2024-09-11T00:51:55</td>\n",
-       "      <td>2024-09-16T00:00:00</td>\n",
-       "      <td>2024-09-17T01:50:10</td>\n",
-       "      <td>--</td>\n",
-       "      <td>1</td>\n",
-       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f01701220b659cec433130d2489895d31332c7a419abf594736a5cb8a3912b38f4f466d69/80111906349490403770150817747482576451522877008857865169965513258822903377236\" title=\"2024-09-16T01:49:20\" target=\"_blank\">[1]</a></td>\n",
-       "      <td>85</td>\n",
-       "      <td>resp_no</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4727</th>\n",
-       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x11cf6ec9649097127238ffb789b0703da448d9fa\" target=\"_blank\">Will Apple launch the iPhone 16 by 15 September 2024?</a></td>\n",
-       "      <td>72.31</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Finalizing</td>\n",
-       "      <td>06:50</td>\n",
-       "      <td>2024-09-11T01:06:10</td>\n",
-       "      <td>2024-09-16T00:00:00</td>\n",
-       "      <td>2024-09-17T00:48:25</td>\n",
-       "      <td>--</td>\n",
-       "      <td>1</td>\n",
-       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f0170122052df7169ab02b40865c68196dc9c40970a094318bd958ae1d681a08e2d9fd39f/16112679238669083356689018077456933339827871916273099052591098082353023789867\" title=\"2024-09-16T00:47:05\" target=\"_blank\">[1]</a></td>\n",
-       "      <td>105</td>\n",
-       "      <td>resp_yes</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4728</th>\n",
-       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x7d20e42fa243fb1a4ed751a7d7ef761788caeb47\" target=\"_blank\">Will England batsman Ben Duckett play against Sri Lanka in the third Test on 15 September 2024?</a></td>\n",
-       "      <td>22.39</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Finalizing</td>\n",
-       "      <td>06:34</td>\n",
-       "      <td>2024-09-11T01:20:30</td>\n",
-       "      <td>2024-09-16T00:00:00</td>\n",
-       "      <td>2024-09-17T00:33:10</td>\n",
-       "      <td>--</td>\n",
-       "      <td>1</td>\n",
-       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f01701220c0de68196b214e025282b7b785123dd86d7978159d0a797b9db8caaf6247e639/60910169641023741582434620768195873450696003628815004562519732732972204765239\" title=\"2024-09-16T00:32:15\" target=\"_blank\">[1]</a></td>\n",
-       "      <td>105</td>\n",
-       "      <td>resp_yes</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4729</th>\n",
-       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x6c15389b79d3019d1212bfc71ed36b1865c979ad\" target=\"_blank\">Will Nanoleaf launch another smart switch on or by 15 September 2024?</a></td>\n",
-       "      <td>139.06</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Finalizing</td>\n",
-       "      <td>06:36</td>\n",
-       "      <td>2024-09-11T02:09:10</td>\n",
-       "      <td>2024-09-16T00:00:00</td>\n",
-       "      <td>2024-09-17T00:34:25</td>\n",
-       "      <td>--</td>\n",
-       "      <td>1</td>\n",
-       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f017012207a7f0735ccea5277f73de49038bdf3db58c040a22503c65b8f67a6c97b95f801/72569501911006500840295719139848975791549352470191037599138143021942171429927\" title=\"2024-09-16T00:04:05\" target=\"_blank\">[1]</a></td>\n",
-       "      <td>125</td>\n",
-       "      <td>resp_no</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4730</th>\n",
-       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x43ced8e92f058eb58ff7d3df265d19b4c0a829ed\" target=\"_blank\">Will Tropical Storm Francine hit Louisiana as a hurricane on 15 September 2024?</a></td>\n",
-       "      <td>28.57</td>\n",
-       "      <td>No</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Finalizing</td>\n",
-       "      <td>06:35</td>\n",
-       "      <td>2024-09-11T02:23:35</td>\n",
-       "      <td>2024-09-16T00:00:00</td>\n",
-       "      <td>2024-09-17T00:33:45</td>\n",
-       "      <td>--</td>\n",
-       "      <td>1</td>\n",
-       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f0170122013ffdf3c8a3ca9bba298ad202005f4c65b9b9de657e4ecf68480e33b303c1039/57542521151901601877634863248274724031494312743773250226527491982899857585075\" title=\"2024-09-16T00:18:10\" target=\"_blank\">[1]</a></td>\n",
-       "      <td>75</td>\n",
-       "      <td>resp_no</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4731</th>\n",
-       "      <td><a href=\"https://presagio.pages.dev/markets?id=0xf21cdac1b6733be5ab7a0c7adfab930d451a0765\" target=\"_blank\">Will the Greece's new tax on cruise ship arrivals be successfully implemented by September 15, 2024?</a></td>\n",
-       "      <td>8.60</td>\n",
-       "      <td>No</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Finalizing</td>\n",
-       "      <td>08:26</td>\n",
-       "      <td>2024-09-11T02:37:00</td>\n",
-       "      <td>2024-09-16T00:00:00</td>\n",
-       "      <td>2024-09-17T02:24:30</td>\n",
-       "      <td>--</td>\n",
-       "      <td>1</td>\n",
-       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f01701220cca3203b29627e095a4d946ef9702ab3fe0a2b030de4617a84275615dfa24322/106500807181004094931363291787200301658438996216963052496846373140433106565815\" title=\"2024-09-16T02:24:15\" target=\"_blank\">[1]</a></td>\n",
-       "      <td>65</td>\n",
-       "      <td>resp_no</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4732</th>\n",
-       "      <td><a href=\"https://presagio.pages.dev/markets?id=0x0dd8f21e39747f2e753a42762dad41b0ae2dc532\" target=\"_blank\">Will the Efficiency Commission proposed by Trump and Elon Musk be officially established by 15 September 2024?</a></td>\n",
-       "      <td>14.73</td>\n",
-       "      <td>No</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Finalizing</td>\n",
-       "      <td>08:53</td>\n",
-       "      <td>2024-09-11T02:47:40</td>\n",
-       "      <td>2024-09-16T00:00:00</td>\n",
-       "      <td>2024-09-17T02:52:10</td>\n",
-       "      <td>--</td>\n",
-       "      <td>1</td>\n",
-       "      <td><a href=\"https://gateway.autonolas.tech/ipfs/f01701220bb0ba9a74bd5629bf890478cd20d26d9e1651d6f536320ccb87162b71f856157/21064806733482770901930093558552145888082617270563214360899869092890655038937\" title=\"2024-09-16T02:51:55\" target=\"_blank\">[1]</a></td>\n",
-       "      <td>80</td>\n",
-       "      <td>resp_no</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "def plot_opened_markets(data: Dict[str, Any]) -> None:\n",
@@ -1250,148 +674,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "762\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "- Will there be another attack on Tel Aviv by Hamas by 5 June 2024?\n",
-      "- Will Elon Musk's disputed $58 billion compensation package be approved by institutional investors by 8 June 2024?\n",
-      "- Will Apple TV Plus app be available on Google Pixel 8 Pro or Samsung’s Galaxy Z Fold 5 by 8 June 2024?\n",
-      "- Will Samsung succeed in blocking Oura's smart ring patent claims by 9 June 2024?\n",
-      "- Will Google's adjustments to its AI Overviews significantly improve the search results by 9 June 2024?\n",
-      "- Will Jude Bellingham score a goal in his next match on 10 June 2024?\n",
-      "- Will Meta's v66 update fix the biggest annoyances of Quest 3 by 11 June 2024?\n",
-      "- Will Russian teenager Mirra Andreeva win the French Open 2024?\n",
-      "- Will Australia win the T20 World Cup 2024?\n",
-      "- Will there be a significant drop in the price of iPads on 14 June 2024?\n",
-      "- Will the US economy add more than 272,000 jobs in June 2024?\n",
-      "- Will Apple successfully overtake the leaders in AI technology by 2024?\n",
-      "- Will Lindz McLeod and Z. K. Abraham get engaged by 18 June 2024?\n",
-      "- Will the Philadelphia Phillies win their game on 18 June 2024?\n",
-      "- Will the Ukraine Summit result in a significant diplomatic advancement or agreement on or by 22 June 2024?\n",
-      "- Will the federal bill criminalizing deepfake nudes be passed into law on 28 June 2024?\n",
-      "- Will the term 'flight deck' officially replace 'cockpit' in the Air Line Pilots Association's guidelines on 29 June 2024?\n",
-      "- Will Spotify's new Basic Plan in the United States exceed 1 million subscribers by 29 June 2024?\n",
-      "- Will there be a new Disney Plus movie release on 28 June 2024?\n",
-      "- Will the crisis formed by the Egyptian authorities on 30 June 2024 resolve the issue of the deaths during the annual Muslim pilgrimage to Mecca?\n",
-      "- Will Cameron Young break another PGA Tour record by 1 July 2024?\n",
-      "- Will Noah Lyles win the 100m race at the 2024 Paris Olympics?\n",
-      "- Will the LA Lakers win their first game under the new head coach, JJ Redick, on 1 July 2024?\n",
-      "- Will the Microsoft Surface Laptop 7th Edition be the best-selling laptop on 2 July 2024?\n",
-      "- Will England win their final group match in UEFA Euro 2024 by 2 July 2024?\n",
-      "- Will a significant rise in sea levels occur due to the new Antarctic ice sheet ‘tipping point’ on 2 July 2024?\n",
-      "- Will Donald Trump win Florida's 30 electoral votes in the 2024 election?\n",
-      "- Will US and Vietnam reach an economic agreement on 3 July 2024?\n",
-      "- Will the Toyota and Lexus SUVs recall due to an airbag problem be completed by 3 July 2024?\n",
-      "- Will Phil Foden score a goal in the Euro 2024 finals on 4 July 2024?\n",
-      "- Will a major wildfire occur near Athens by 5 July 2024?\n",
-      "- Will the Detroit Police Department's revised facial recognition policies result in a decrease in wrongful arrests by 6 July 2024?\n",
-      "- Will England win their next match in the Euro 2024 on or by 6 July 2024?\n",
-      "- Will Pro-Ject release a new version of its Configurator by 6 July 2024?\n",
-      "- Will Microsoft's Surface Laptops surpass Apple's MacBooks in performance and repairability by 7 July 2024?\n",
-      "- Will the Supreme Court's ruling on internet speech cases have a significant impact on social media laws in Texas and Florida by 9 July 2024?\n",
-      "- Will Big Green Egg CEO Dan Gertsacov successfully expand the market for grills by 9 July 2024?\n",
-      "- Will the US military send its newest fighter jets to Japan by 11 July 2024?\n",
-      "- Will the southern New Jersey forest fire be completely extinguished by 12 July 2024?\n",
-      "- Will Tadej Pogacar win the Tour de France on 12 July 2024?\n",
-      "- Will Ryan Seacrest receive positive audience reception in the new season of 'Wheel of Fortune' on 13 July 2024?\n",
-      "- Will George Russell win the British Grand Prix in 2024?\n",
-      "- Will the Esports World Cup in Saudi Arabia conclude successfully on 14 July 2024?\n",
-      "- Will Emma Raducanu win a major tennis tournament by 15 July 2024?\n",
-      "- Will Jeffrey Steele release a new song on 16 July 2024?\n",
-      "- Will Marine Le Pen be found guilty of alleged campaign finance violations by 17 July 2024?\n",
-      "- Will the Samsung Galaxy Z Flip 6 be the top-selling phone on 18 July 2024?\n",
-      "- Will the West experience another heatwave resulting in multiple temperature records being broken on 18 July 2024?\n",
-      "- Will the NATO agency complete the $700 mln order for Stinger anti-aircraft missiles by 18 July 2024?\n",
-      "- Will Idaho's Safe Haven Baby Box initiative result in a decrease in infant abandonment by 19 July 2024?\n",
-      "- Will Hakeem Jeffries implement any significant change in policy after his meeting with Joe Biden on 20 July 2024?\n",
-      "- Will Beyonce's 'Cowboy Carter' album remain in the top 10 on Billboard charts on 20 July 2024?\n",
-      "- Will Zelensky hold talks with Russia before the U.S. presidential election on 20 July 2024?\n",
-      "- Will Spain be declared the winner of Euro 2024 on 21 July 2024?\n",
-      "- Will Joe Biden be reelected as President in 2024?\n",
-      "- Will Lionel Messi recover from his injury and participate in the 2024 World Cup?\n",
-      "- Will Goldman Sachs' profits increase in the third quarter of 2024?\n",
-      "- Will the US provide another humanitarian aid package for Sudan by 24 July 2024?\n",
-      "- Will the England football team improve their performance and successfully defend their title in Euro 2025?\n",
-      "- Will Ashok Aliseril Thamarakshan successfully fly the plane he built in his garden on 26 July 2024?\n",
-      "- Will Robert MacIntyre win The Open 2024 on Royal Troon?\n",
-      "- Will a case of Nipah virus be reported in Kerala state on 27 July 2024?\n",
-      "- Will the US Olympic Committee win the lawsuit against Logan Paul's Prime energy drink over copyright violation claims by 28 July 2024?\n",
-      "- Will the polio vaccines be provided to half of Gaza's population by the Israel Defense Forces on 27 July 2024?\n",
-      "- Will Rivian incorporate Apple CarPlay into its autos by 28 July 2024?\n",
-      "- Will the 2024 Paris Olympics be considered the most sustainable Olympic Games ever on 30 July 2024?\n",
-      "- Will Kamala Harris beat Donald Trump in the 2024 Presidential Elections?\n",
-      "- Will Apple's launch of Maps on the web surpass Google Maps in user count by August 1, 2024?\n",
-      "- Will the Kids Online Safety Act be passed by Congress by 1 August 2024?\n",
-      "- Will Microsoft implement the proposed changes to Windows by 1 August 2024?\n",
-      "- Will non-binary athletes win any medals at the Paris Olympics on 1 August 2024?\n",
-      "- Will Harvey Weinstein recover from Covid-19 and double pneumonia by August 1, 2024?\n",
-      "- Will US GDP growth exceed 2.8% in the third quarter of 2024?\n",
-      "- Will the Paris Olympics occur without any major security concerns on 2 August 2024?\n",
-      "- Will the Disney Plus, Hulu, and Max streaming bundle surpass 5 million subscribers by 2nd August 2024?\n",
-      "- Will Kamala Harris win the US Presidential Elections on 3 August 2024?\n",
-      "- Will there be a terrorist attack on French citizens during the Paris Olympics on 3 August 2024?\n",
-      "- Will the sales of smart kettles increase significantly on or before 3 August 2024?\n",
-      "- Will there be a Tropical Hurricane in the Atlantic on 4 August 2024?\n",
-      "- Will Simone Biles win another Olympic medal by 5 August 2024?\n",
-      "- Will Twitch's new app update increase its user base significantly by 5 August 2024?\n",
-      "- Will the Biden administration implement Supreme Court term limits and ethics rules by August 5, 2024?\n",
-      "- Will Simone Biles perform a new move at the Paris 2024 Olympics?\n",
-      "- Will Joaquin Guzman Lopez be found guilty of federal drug trafficking charges on 6 August 2024?\n",
-      "- Will the issue of Online Sexual Harassment rise significantly on 6 August 2024?\n",
-      "- Will the Australian Prime Minister announce the date of the 2025 election on 6 August 2024?\n",
-      "- Will Donald Trump's campaign announce another cryptocurrency fundraiser on 6 August 2024?\n",
-      "- Will the price of the Samsung Galaxy Watch Ultra decrease due to reported issues with peeling paint on or before 6 August 2024?\n",
-      "- Will Samsung's operating profits increase in the third quarter of 2024?\n",
-      "- Will the Paris Olympic Games manage to fill the empty seats by offering discounted ticket prices on or before 8 August 2024?\n",
-      "- Will Jelly Roll hold a concert in memory of the cancer survivor on 9 August 2024?\n",
-      "- Will TikTok increase its usage of Microsoft's AI cloud computing services by 9 August 2024?\n",
-      "- Will the Kids Online Safety Act be passed by the Senate on 9 August 2024?\n",
-      "- Will the US labor market add more than 175,000 jobs by 11 August 2024?\n",
-      "- Will there be a new winner for the Olympic 100m event on 12 August 2024?\n",
-      "- Will the antitrust ruling against Google impact its stock price negatively on 15 August 2024?\n",
-      "- Will the British team win the women's 4x100m relay event at the Paris 2024 Olympics?\n",
-      "- Will the South Korean firm successfully build a solar plant in Georgia by 17 August 2024?\n",
-      "- Will Manchester City be able to fill the void left by Julian Alvarez's exit by 18 August 2024?\n",
-      "- Will the Paris Olympics 2024 closing ceremony viewership surpass that of the opening ceremony by 19 August 2024?\n",
-      "- Will Ethan Holliday join Jackson in the 2025 MLB draft by 24 August 2024?\n",
-      "- Will the AI PC designed for complex tasks & heavy workloads by Giada be released by 23 August 2024?\n",
-      "- Will the real estate rules implemented in the US in August 2024 lead to a significant change in how Americans buy and sell homes by 23 August 2024?\n",
-      "- Will Donald Trump win the 2024 presidential race?\n",
-      "- Will the Google Pixel Watch 3 be available for pre-order by 22 August 2024?\n",
-      "- Will a new electric train be launched in the US on 21 August 2024?\n",
-      "- Will Schlatter Industries AG fully recover from the cyberattack and restore its IT network by 21 August 2024?\n",
-      "- Will the World War II-era bomb in Northern Ireland be successfully removed by 25 August 2024?\n",
-      "- Will the Idaho man arrested for the 51-year-old cold case be convicted on 25 August 2024?\n",
-      "- Will Ethan Holliday be drafted in the 2025 MLB draft by 26 August 2024?\n",
-      "- Will the Biden administration conduct more environmental reviews of new computer chip factories by 26 August 2024?\n",
-      "- Will Google's Essentials app for Windows PC be successful in its launch?\n",
-      "- Will Microsoft Teams' single app for personal and work be the most downloaded app on 30 August 2024?\n",
-      "- Will Lando Norris win the Formula 1 title in 2024?\n",
-      "- Will the number of Chinese migrants encountered at the Southwest Border in August 2024 surpass the number encountered in July 2024?\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "def plot_closed_markets(data: Dict[str, Any], start_timestamp: int, end_timestamp: int) -> None:\n",
     "    markets = data[\"data\"][\"fixedProductMarketMakers\"]\n",

From 557362f94454ec22d3670f72d52abc300c896b27 Mon Sep 17 00:00:00 2001
From: David Vilela <dvilelaf@gmail.com>
Date: Mon, 16 Sep 2024 20:42:00 +0200
Subject: [PATCH 24/36] fix: missing handlers

---
 packages/packages.json                                |  9 +++++----
 packages/valory/agents/market_maker/aea-config.yaml   | 11 +++++++++--
 packages/valory/services/market_maker/service.yaml    |  2 +-
 .../skills/market_creation_manager_abci/handlers.py   |  3 +++
 .../skills/market_creation_manager_abci/skill.yaml    |  6 +++++-
 packages/valory/skills/market_maker_abci/skill.yaml   |  2 +-
 6 files changed, 24 insertions(+), 9 deletions(-)

diff --git a/packages/packages.json b/packages/packages.json
index 8e78ea0..6ab61d3 100644
--- a/packages/packages.json
+++ b/packages/packages.json
@@ -3,10 +3,10 @@
         "contract/valory/fpmm_deterministic_factory/0.1.0": "bafybeigjfuahxhb2y4q5ueayry55boaojcryoamwr6fshgayf5s762vpl4",
         "contract/valory/wxdai/0.1.0": "bafybeidalocwbhmbto6ii6adldtpcughtdt6j3v4tv36utevjk2wrdyqie",
         "contract/valory/fpmm/0.1.0": "bafybeiai2ruj27nnglvn7yc5atojyojo3fkmofw6wrjgz2ybps2uwdizx4",
-        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeibtzxugioeyv7gxfxdrvnzd42sivfwowbvawijq6isjni2rthgqge",
-        "skill/valory/market_maker_abci/0.1.0": "bafybeidmlakgpe7vvy6u5lo64txpdgy2ec4tqg4j4johla2qdhsf75ywwe",
-        "agent/valory/market_maker/0.1.0": "bafybeiclurjy7vwcbdr3alizu7s7bliqb5uwdqdeccyfkcpnawwn76l7ki",
-        "service/valory/market_maker/0.1.0": "bafybeidczigpnsipptof5sl44ttkqzr64pupymdtvz52fq4u7ghwspzw2q"
+        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeibl3buwan7qtzv3aqzuelpmmgydoy25gt4lbdnvxpettab3ltxp4m",
+        "skill/valory/market_maker_abci/0.1.0": "bafybeihbhymviqlx4ux2fhskua7zkpfupqqshy4tc5h2gsinva4idcqlcy",
+        "agent/valory/market_maker/0.1.0": "bafybeibcka3tam3a5e6mr4vwu55cwlolstvca5g54klnni4ijeqeka5jxa",
+        "service/valory/market_maker/0.1.0": "bafybeihowttwk2pzdpwg72tygbgebwyt2bscczcqeja4g3dpkdyp5sez6a"
     },
     "third_party": {
         "protocol/valory/contract_api/1.0.0": "bafybeidgu7o5llh26xp3u3ebq3yluull5lupiyeu6iooi2xyymdrgnzq5i",
@@ -34,6 +34,7 @@
         "connection/valory/p2p_libp2p_client/0.1.0": "bafybeid3xg5k2ol5adflqloy75ibgljmol6xsvzvezebsg7oudxeeolz7e",
         "connection/valory/ledger/0.19.0": "bafybeig7woeog4srdby75hpjkmx4rhpkzncbf4h2pm5r6varsp26pf2uhu",
         "connection/valory/http_client/0.23.0": "bafybeihi772xgzpqeipp3fhmvpct4y6e6tpjp4sogwqrnf3wqspgeilg4u",
+        "connection/valory/http_server/0.22.0": "bafybeihpgu56ovmq4npazdbh6y6ru5i7zuv6wvdglpxavsckyih56smu7m",
         "skill/valory/abstract_abci/0.1.0": "bafybeieh4ei3qdelmacnm7vwq57phoewgumr3udvxt6pybmuggwc3yk65q",
         "skill/valory/abstract_round_abci/0.1.0": "bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui",
         "skill/valory/transaction_settlement_abci/0.1.0": "bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote",
diff --git a/packages/valory/agents/market_maker/aea-config.yaml b/packages/valory/agents/market_maker/aea-config.yaml
index de452e0..01c39ca 100644
--- a/packages/valory/agents/market_maker/aea-config.yaml
+++ b/packages/valory/agents/market_maker/aea-config.yaml
@@ -11,6 +11,7 @@ fingerprint_ignore_patterns: []
 connections:
 - valory/abci:0.1.0:bafybeicksmavx23ralbdw3ajxv5fq5s4c3wzhbc3zdudefm4jqsgrg72ai
 - valory/http_client:0.23.0:bafybeihi772xgzpqeipp3fhmvpct4y6e6tpjp4sogwqrnf3wqspgeilg4u
+- valory/http_server:0.22.0:bafybeihpgu56ovmq4npazdbh6y6ru5i7zuv6wvdglpxavsckyih56smu7m
 - valory/ledger:0.19.0:bafybeig7woeog4srdby75hpjkmx4rhpkzncbf4h2pm5r6varsp26pf2uhu
 - valory/openai:0.1.0:bafybeigyehjbahya5mp7vyp5tjvn36rey4btvzskp3ql3mgxp3zu6gwq5a
 - valory/p2p_libp2p_client:0.1.0:bafybeid3xg5k2ol5adflqloy75ibgljmol6xsvzvezebsg7oudxeeolz7e
@@ -37,9 +38,9 @@ protocols:
 skills:
 - valory/abstract_abci:0.1.0:bafybeieh4ei3qdelmacnm7vwq57phoewgumr3udvxt6pybmuggwc3yk65q
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
-- valory/market_maker_abci:0.1.0:bafybeidmlakgpe7vvy6u5lo64txpdgy2ec4tqg4j4johla2qdhsf75ywwe
+- valory/market_maker_abci:0.1.0:bafybeihbhymviqlx4ux2fhskua7zkpfupqqshy4tc5h2gsinva4idcqlcy
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
-- valory/market_creation_manager_abci:0.1.0:bafybeibtzxugioeyv7gxfxdrvnzd42sivfwowbvawijq6isjni2rthgqge
+- valory/market_creation_manager_abci:0.1.0:bafybeibl3buwan7qtzv3aqzuelpmmgydoy25gt4lbdnvxpettab3ltxp4m
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
@@ -247,3 +248,9 @@ models:
       retries: ${int:5}
       url: ${str:https://api.thegraph.com/subgraphs/name/protofire/omen-xdai}
 is_abstract: false
+---
+public_id: valory/http_server:0.22.0:bafybeicblltx7ha3ulthg7bzfccuqqyjmihhrvfeztlgrlcoxhr7kf6nbq
+type: connection
+config:
+  host: 0.0.0.0
+  target_skill_id: valory/market_maker_abci:0.1.0
diff --git a/packages/valory/services/market_maker/service.yaml b/packages/valory/services/market_maker/service.yaml
index 96d130f..a033b01 100644
--- a/packages/valory/services/market_maker/service.yaml
+++ b/packages/valory/services/market_maker/service.yaml
@@ -7,7 +7,7 @@ license: Apache-2.0
 fingerprint:
   README.md: bafybeibwz3af6326msp4h3kqehijvmyhaytvyfbo3o2npc2w4b6zrg6pfq
 fingerprint_ignore_patterns: []
-agent: valory/market_maker:0.1.0:bafybeiclurjy7vwcbdr3alizu7s7bliqb5uwdqdeccyfkcpnawwn76l7ki
+agent: valory/market_maker:0.1.0:bafybeibcka3tam3a5e6mr4vwu55cwlolstvca5g54klnni4ijeqeka5jxa
 number_of_agents: 1
 deployment:
   agent:
diff --git a/packages/valory/skills/market_creation_manager_abci/handlers.py b/packages/valory/skills/market_creation_manager_abci/handlers.py
index 0e0b745..34f6a3f 100644
--- a/packages/valory/skills/market_creation_manager_abci/handlers.py
+++ b/packages/valory/skills/market_creation_manager_abci/handlers.py
@@ -29,6 +29,9 @@
 from aea.configurations.data_types import PublicId
 from aea.protocols.base import Message
 
+from packages.valory.connections.http_server.connection import (
+    PUBLIC_ID as HTTP_SERVER_PUBLIC_ID,
+)
 from packages.valory.protocols.http import HttpMessage
 from packages.valory.protocols.llm import LlmMessage
 from packages.valory.skills.abstract_round_abci.handlers import (
diff --git a/packages/valory/skills/market_creation_manager_abci/skill.yaml b/packages/valory/skills/market_creation_manager_abci/skill.yaml
index 2657a37..1e4d2bf 100644
--- a/packages/valory/skills/market_creation_manager_abci/skill.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/skill.yaml
@@ -13,7 +13,7 @@ fingerprint:
   behaviours.py: bafybeibaeqww3qnhiqck3pi7t276azxv7jt4tzscex25onaoobtrakqnoi
   dialogues.py: bafybeicmaufkl7vdomnfciv7lw4536ssld7x4uemdapuhsyvfpd4ncibza
   fsm_specification.yaml: bafybeiebwzp5jirrwo475r2hzwrirx45jlxtp5duo4275phypqfkueybtq
-  handlers.py: bafybeibxiuiviykaf3m2ehm7vddb6ymdkekjmq7h4gizfni4f4zvk5gj7a
+  handlers.py: bafybeieqlhdlqv426zt5ji7ckyygachagoql5peacindgqq5oc336lixjq
   models.py: bafybeicfdblqzyj6ex3qvjmbejjdt6qwecblfsgjdrfj7rydqgo6h7xasm
   payloads.py: bafybeibu7sptf43adazxpyzwtfpph7bgfhtwiotg5sdlcwjt6iw3idqn7a
   rounds.py: bafybeifnezj3cw323fj5xnieuucfqarznzlpesaj75huylfkpeyuunqkvy
@@ -21,6 +21,7 @@ fingerprint:
 fingerprint_ignore_patterns: []
 connections:
 - valory/openai:0.1.0:bafybeigyehjbahya5mp7vyp5tjvn36rey4btvzskp3ql3mgxp3zu6gwq5a
+- valory/http_server:0.22.0:bafybeihpgu56ovmq4npazdbh6y6ru5i7zuv6wvdglpxavsckyih56smu7m
 contracts:
 - valory/gnosis_safe:0.1.0:bafybeidcb25wneezfd2iaiqa7ygxlimwwacvycahhenvpw7tdvwdigllzm
 - valory/multisend:0.1.0:bafybeig5byt5urg2d2bsecufxe5ql7f4mezg3mekfleeh32nmuusx66p4y
@@ -64,6 +65,9 @@ handlers:
   llm:
     args: {}
     class_name: LlmHandler
+  http:
+    args: {}
+    class_name: HttpHandler
 models:
   abci_dialogues:
     args: {}
diff --git a/packages/valory/skills/market_maker_abci/skill.yaml b/packages/valory/skills/market_maker_abci/skill.yaml
index c1b77e4..a0ee5fa 100644
--- a/packages/valory/skills/market_maker_abci/skill.yaml
+++ b/packages/valory/skills/market_maker_abci/skill.yaml
@@ -24,7 +24,7 @@ skills:
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
-- valory/market_creation_manager_abci:0.1.0:bafybeibtzxugioeyv7gxfxdrvnzd42sivfwowbvawijq6isjni2rthgqge
+- valory/market_creation_manager_abci:0.1.0:bafybeibl3buwan7qtzv3aqzuelpmmgydoy25gt4lbdnvxpettab3ltxp4m
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
 - valory/mech_interact_abci:0.1.0:bafybeieryw7rk2tspyxx46loqqqimr2l5vvhtshiyg2mmdxijzb7pdoi6a

From 020e7e8e20678e57da8403c38d120ccf8d626cdd Mon Sep 17 00:00:00 2001
From: David Vilela <dvilelaf@gmail.com>
Date: Mon, 16 Sep 2024 21:15:25 +0200
Subject: [PATCH 25/36] fix: packages

---
 poetry.lock    | 2044 +++++++++++++++++++++++++++++-------------------
 pyproject.toml |    2 +
 tox.ini        |    4 +-
 3 files changed, 1259 insertions(+), 791 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 050df1c..6f4e2e1 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,91 +1,118 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
-name = "aiohttp"
-version = "3.9.5"
-description = "Async http client/server framework (asyncio)"
+name = "aiohappyeyeballs"
+version = "2.4.0"
+description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fcde4c397f673fdec23e6b05ebf8d4751314fa7c24f93334bf1f1364c1c69ac7"},
-    {file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d6b3f1fabe465e819aed2c421a6743d8debbde79b6a8600739300630a01bf2c"},
-    {file = "aiohttp-3.9.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6ae79c1bc12c34082d92bf9422764f799aee4746fd7a392db46b7fd357d4a17a"},
-    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d3ebb9e1316ec74277d19c5f482f98cc65a73ccd5430540d6d11682cd857430"},
-    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:84dabd95154f43a2ea80deffec9cb44d2e301e38a0c9d331cc4aa0166fe28ae3"},
-    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c8a02fbeca6f63cb1f0475c799679057fc9268b77075ab7cf3f1c600e81dd46b"},
-    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c26959ca7b75ff768e2776d8055bf9582a6267e24556bb7f7bd29e677932be72"},
-    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:714d4e5231fed4ba2762ed489b4aec07b2b9953cf4ee31e9871caac895a839c0"},
-    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e7a6a8354f1b62e15d48e04350f13e726fa08b62c3d7b8401c0a1314f02e3558"},
-    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:c413016880e03e69d166efb5a1a95d40f83d5a3a648d16486592c49ffb76d0db"},
-    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:ff84aeb864e0fac81f676be9f4685f0527b660f1efdc40dcede3c251ef1e867f"},
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+]
+
+[package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
 async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
@@ -94,7 +121,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -112,13 +139,13 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -126,13 +153,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
 
 [[package]]
 name = "anyio"
-version = "4.3.0"
+version = "4.4.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -170,22 +197,22 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.2.0"
+version = "24.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
-cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
-tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "backoff"
@@ -214,38 +241,38 @@ tests = ["PyHamcrest (>=2.0.2)", "mypy", "pytest (>=4.6)", "pytest-benchmark", "
 
 [[package]]
 name = "bcrypt"
-version = "4.1.3"
+version = "4.2.0"
 description = "Modern password hashing for your software and your servers"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -494,6 +536,100 @@ files = [
 [package.extras]
 unicode-backport = ["unicodedata2"]
 
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 version = "8.1.7"
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 [package.dependencies]
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 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -659,7 +810,7 @@ nox = ["nox"]
 pep8test = ["check-sdist", "click", "mypy", "ruff"]
 sdist = ["build"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test = ["certifi", "cryptography-vectors (==43.0.1)", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
@@ -1047,13 +1198,13 @@ test = ["hypothesis (>=4.43.0)", "mypy (==0.971)", "pytest (>=7.0.0)", "pytest-x
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.1"
+version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -1061,19 +1212,19 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "filelock"
-version = "3.14.0"
+version = "3.16.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "filelock-3.16.0.tar.gz", hash = "sha256:81de9eb8453c769b63369f87f11131a7ab04e367f8d97ad39dc230daa07e3bec"},
 ]
 
 [package.extras]
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-testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
-typing = ["typing-extensions (>=4.8)"]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.1.1)", "pytest (>=8.3.2)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.3)"]
+typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "flask"
@@ -1185,17 +1336,17 @@ files = [
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.63.0"
+version = "1.65.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "googleapis-common-protos-1.63.0.tar.gz", hash = "sha256:17ad01b11d5f1d0171c06d3ba5c04c54474e883b66b949722b4938ee2694ef4e"},
-    {file = "googleapis_common_protos-1.63.0-py2.py3-none-any.whl", hash = "sha256:ae45f75702f7c08b541f750854a678bd8f534a1a6bace6afe975f1d0a82d6632"},
+    {file = "googleapis_common_protos-1.65.0-py2.py3-none-any.whl", hash = "sha256:2972e6c496f435b92590fd54045060867f3fe9be2c82ab148fc8885035479a63"},
+    {file = "googleapis_common_protos-1.65.0.tar.gz", hash = "sha256:334a29d07cddc3aa01dee4988f9afd9b2916ee2ff49d6b757155dc0d197852c0"},
 ]
 
 [package.dependencies]
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
+protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
 
 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
@@ -1230,13 +1381,13 @@ websockets = ["websockets (>=10,<12)"]
 
 [[package]]
 name = "graphql-core"
-version = "3.2.3"
+version = "3.2.4"
 description = "GraphQL implementation for Python, a port of GraphQL.js, the JavaScript reference implementation for GraphQL."
 optional = false
-python-versions = ">=3.6,<4"
+python-versions = "<4,>=3.6"
 files = [
-    {file = "graphql-core-3.2.3.tar.gz", hash = "sha256:06d2aad0ac723e35b1cb47885d3e5c45e956a53bc1b209a9fc5369007fe46676"},
-    {file = "graphql_core-3.2.3-py3-none-any.whl", hash = "sha256:5766780452bd5ec8ba133f8bf287dc92713e3868ddd83aee4faab9fc3e303dc3"},
+    {file = "graphql-core-3.2.4.tar.gz", hash = "sha256:acbe2e800980d0e39b4685dd058c2f4042660b89ebca38af83020fd872ff1264"},
+    {file = "graphql_core-3.2.4-py3-none-any.whl", hash = "sha256:1604f2042edc5f3114f49cac9d77e25863be51b23a54a61a23245cf32f6476f0"},
 ]
 
 [[package]]
@@ -1347,13 +1498,13 @@ trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.0"
+version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5"},
-    {file = "httpx-0.27.0.tar.gz", hash = "sha256:a0cb88a46f32dc874e04ee956e4c2764aba2aa228f650b06788ba6bda2962ab5"},
+    {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
+    {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
 ]
 
 [package.dependencies]
@@ -1368,6 +1519,7 @@ brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "hypothesis"
@@ -1402,51 +1554,62 @@ zoneinfo = ["backports.zoneinfo (>=0.2.1)", "importlib-resources (>=3.3.0)", "tz
 
 [[package]]
 name = "idna"
-version = "3.7"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 files = [
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+    {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
+    {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "importlib-metadata"
-version = "7.1.0"
+version = "8.5.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
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 ]
 
 [package.dependencies]
-zipp = ">=0.5"
+zipp = ">=3.20"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["pytest-mypy"]
 
 [[package]]
 name = "importlib-resources"
-version = "6.4.0"
+version = "6.4.5"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
+type = ["pytest-mypy"]
 
 [[package]]
 name = "iniconfig"
@@ -1474,6 +1637,20 @@ files = [
 multiaddr = ">=0.0.7"
 requests = ">=2.11"
 
+[[package]]
+name = "isodate"
+version = "0.6.1"
+description = "An ISO 8601 date/time/duration parser and formatter"
+optional = false
+python-versions = "*"
+files = [
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+    {file = "isodate-0.6.1.tar.gz", hash = "sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9"},
+]
+
+[package.dependencies]
+six = "*"
+
 [[package]]
 name = "itsdangerous"
 version = "2.2.0"
@@ -1685,6 +1862,17 @@ files = [
     {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"},
 ]
 
+[[package]]
+name = "more-itertools"
+version = "10.5.0"
+description = "More routines for operating on iterables, beyond itertools"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "more-itertools-10.5.0.tar.gz", hash = "sha256:5482bfef7849c25dc3c6dd53a6173ae4795da2a41a80faea6700d9f5846c5da6"},
+    {file = "more_itertools-10.5.0-py3-none-any.whl", hash = "sha256:037b0d3203ce90cca8ab1defbbdac29d5f993fc20131f3664dc8d6acfa872aef"},
+]
+
 [[package]]
 name = "morphys"
 version = "1.0"
@@ -1714,102 +1902,107 @@ varint = "*"
 
 [[package]]
 name = "multidict"
-version = "6.0.5"
+version = "6.1.0"
 description = "multidict implementation"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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+
+[package.dependencies]
+typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "mypy-extensions"
@@ -1824,13 +2017,13 @@ files = [
 
 [[package]]
 name = "netaddr"
-version = "1.2.1"
+version = "1.3.0"
 description = "A network address manipulation library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -2002,6 +2195,72 @@ typing-extensions = ">=4.7,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
+[[package]]
+name = "openapi-core"
+version = "0.15.0"
+description = "client-side and server-side support for the OpenAPI Specification v3"
+optional = false
+python-versions = ">=3.7.0,<4.0.0"
+files = [
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+]
+
+[package.dependencies]
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+more-itertools = "*"
+openapi-schema-validator = ">=0.2.0,<0.3.0"
+openapi-spec-validator = ">=0.4.0,<0.5.0"
+parse = "*"
+pathable = ">=0.4.0,<0.5.0"
+typing-extensions = ">=4.3.0,<5.0.0"
+werkzeug = "*"
+
+[package.extras]
+django = ["django (>=3.0)"]
+falcon = ["falcon (>=3.0)"]
+flask = ["flask"]
+requests = ["requests"]
+
+[[package]]
+name = "openapi-schema-validator"
+version = "0.2.3"
+description = "OpenAPI schema validation for Python"
+optional = false
+python-versions = ">=3.7.0,<4.0.0"
+files = [
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+
+[package.dependencies]
+jsonschema = ">=3.0.0,<5.0.0"
+
+[package.extras]
+isodate = ["isodate"]
+rfc3339-validator = ["rfc3339-validator"]
+strict-rfc3339 = ["strict-rfc3339"]
+
+[[package]]
+name = "openapi-spec-validator"
+version = "0.4.0"
+description = "OpenAPI 2.0 (aka Swagger) and OpenAPI 3.0 spec validator"
+optional = false
+python-versions = ">=3.7.0,<4.0.0"
+files = [
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+]
+
+[package.dependencies]
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+openapi-schema-validator = ">=0.2.0,<0.3.0"
+PyYAML = ">=5.1"
+setuptools = "*"
+
+[package.extras]
+requests = ["requests"]
+
 [[package]]
 name = "packaging"
 version = "23.2"
@@ -2015,13 +2274,13 @@ files = [
 
 [[package]]
 name = "paramiko"
-version = "3.4.0"
+version = "3.5.0"
 description = "SSH2 protocol library"
 optional = false
 python-versions = ">=3.6"
 files = [
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+    {file = "paramiko-3.5.0.tar.gz", hash = "sha256:ad11e540da4f55cedda52931f1a3f812a8238a7af7f62a60de538cd80bb28124"},
 ]
 
 [package.dependencies]
@@ -2034,6 +2293,17 @@ all = ["gssapi (>=1.4.1)", "invoke (>=2.0)", "pyasn1 (>=0.1.7)", "pywin32 (>=2.1
 gssapi = ["gssapi (>=1.4.1)", "pyasn1 (>=0.1.7)", "pywin32 (>=2.1.8)"]
 invoke = ["invoke (>=2.0)"]
 
+[[package]]
+name = "parse"
+version = "1.20.2"
+description = "parse() is the opposite of format()"
+optional = false
+python-versions = "*"
+files = [
+    {file = "parse-1.20.2-py2.py3-none-any.whl", hash = "sha256:967095588cb802add9177d0c0b6133b5ba33b1ea9007ca800e526f42a85af558"},
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+]
+
 [[package]]
 name = "parsimonious"
 version = "0.10.0"
@@ -2048,21 +2318,32 @@ files = [
 [package.dependencies]
 regex = ">=2022.3.15"
 
+[[package]]
+name = "pathable"
+version = "0.4.3"
+description = "Object-oriented paths"
+optional = false
+python-versions = ">=3.7.0,<4.0.0"
+files = [
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+    {file = "pathable-0.4.3.tar.gz", hash = "sha256:5c869d315be50776cc8a993f3af43e0c60dc01506b399643f919034ebf4cdcab"},
+]
+
 [[package]]
 name = "platformdirs"
-version = "4.2.2"
+version = "4.3.3"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"},
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+    {file = "platformdirs-4.3.3-py3-none-any.whl", hash = "sha256:50a5450e2e84f44539718293cbb1da0a0885c9d14adf21b77bae4e66fc99d9b5"},
+    {file = "platformdirs-4.3.3.tar.gz", hash = "sha256:d4e0b7d8ec176b341fb03cb11ca12d0276faa8c485f9cd218f613840463fc2c0"},
 ]
 
 [package.extras]
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
-type = ["mypy (>=1.8)"]
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+
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 [package.dependencies]
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 [[package]]
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 ]
 
 [package.extras]
@@ -3100,22 +3543,23 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "web3"
-version = "6.19.0"
+version = "6.20.3"
 description = "web3.py"
 optional = false
 python-versions = ">=3.7.2"
 files = [
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 ]
 
 [package.dependencies]
 aiohttp = ">=3.7.4.post0"
+ckzg = "<2"
 eth-abi = ">=4.0.0"
 eth-account = ">=0.8.0,<0.13"
 eth-hash = {version = ">=0.5.1", extras = ["pycryptodome"]}
-eth-typing = ">=3.0.0,<4.2.0 || >4.2.0"
-eth-utils = ">=2.1.0"
+eth-typing = ">=3.0.0,<4.2.0 || >4.2.0,<5.0.0"
+eth-utils = ">=2.1.0,<5"
 hexbytes = ">=0.1.0,<0.4.0"
 jsonschema = ">=4.0.0"
 lru-dict = ">=1.1.6,<1.3.0"
@@ -3127,10 +3571,10 @@ typing-extensions = ">=4.0.1"
 websockets = ">=10.0.0"
 
 [package.extras]
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 ipfs = ["ipfshttpclient (==0.8.0a2)"]
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 [[package]]
 name = "websocket-client"
@@ -3148,83 +3592,97 @@ six = "*"
 
 [[package]]
 name = "websockets"
-version = "12.0"
+version = "13.0.1"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
 python-versions = ">=3.8"
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 [[package]]
@@ -3243,101 +3701,103 @@ watchdog = ["watchdog"]
 
 [[package]]
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 description = "Yet another URL library"
 optional = false
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+    {file = "yarl-1.11.1-py3-none-any.whl", hash = "sha256:72bf26f66456baa0584eff63e44545c9f0eaed9b73cb6601b647c91f14c11f38"},
+    {file = "yarl-1.11.1.tar.gz", hash = "sha256:1bb2d9e212fb7449b8fb73bc461b51eaa17cc8430b4a87d87be7b25052d92f53"},
 ]
 
 [package.dependencies]
@@ -3346,20 +3806,24 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.18.2"
+version = "3.20.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.18.2-py3-none-any.whl", hash = "sha256:dce197b859eb796242b0622af1b8beb0a722d52aa2f57133ead08edd5bf5374e"},
-    {file = "zipp-3.18.2.tar.gz", hash = "sha256:6278d9ddbcfb1f1089a88fde84481528b07b0e10474e09dcfe53dad4069fa059"},
+    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
+    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.8"
-content-hash = "f761f2974353769c711a148ffd335ca74b21a2f356b491a00774ec410f5a05b8"
+content-hash = "0b63604b0684e81ce61daa25b37098b8035594300eb6f7b187db92aaf78b46d5"
diff --git a/pyproject.toml b/pyproject.toml
index 13bc573..b53e56f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -44,3 +44,5 @@ typing_extensions = ">=3.10.0.2"
 hexbytes = "*"
 packaging = "*"
 tomte = {version = "==0.2.17", extras = ["cli", "tests"]}
+openapi-core = "==0.15.0"
+openapi-spec-validator = "<0.5.0,>=0.4.0"
diff --git a/tox.ini b/tox.ini
index 9692074..4a8558c 100644
--- a/tox.ini
+++ b/tox.ini
@@ -48,6 +48,8 @@ deps =
     typing_extensions>=3.10.0.2
     hexbytes
     packaging
+    openapi-core==0.15.0
+    openapi-spec-validator<0.5.0,>=0.4.0
 
 [testenv]
 basepython = python3
@@ -202,7 +204,7 @@ commands =
 [testenv:check-dependencies]
 skipsdist = True
 usedevelop = True
-commands = 
+commands =
     autonomy packages sync
     {toxinidir}/scripts/check_dependencies.py
 

From 17ecd4af14c3eb8f5298e4bdc386b164d7e3018b Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Tue, 17 Sep 2024 12:38:34 +0200
Subject: [PATCH 26/36] feat: roi analyisis notebook

---
 notebooks/generate_roi_analysis_dataset.py | 209 +++++++++++
 notebooks/roi_analysis.ipynb               | 408 +++++++++++++++++++++
 notebooks/sample.env                       |   4 +
 tox.ini                                    |  15 +-
 4 files changed, 630 insertions(+), 6 deletions(-)
 create mode 100644 notebooks/generate_roi_analysis_dataset.py
 create mode 100644 notebooks/roi_analysis.ipynb
 create mode 100644 notebooks/sample.env

diff --git a/notebooks/generate_roi_analysis_dataset.py b/notebooks/generate_roi_analysis_dataset.py
new file mode 100644
index 0000000..97bddce
--- /dev/null
+++ b/notebooks/generate_roi_analysis_dataset.py
@@ -0,0 +1,209 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+# ------------------------------------------------------------------------------
+#
+#   Copyright 2023-2024 Valory AG
+#
+#   Licensed under the Apache License, Version 2.0 (the "License");
+#   you may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+#
+# ------------------------------------------------------------------------------
+
+"""
+Generates dataset for ROI analysis
+"""
+
+# pylint: disable=wrong-import-position
+
+import argparse
+import bisect
+import json
+import os
+import sys
+from pathlib import Path
+from typing import Any, Dict, List
+
+import requests
+from dotenv import dotenv_values
+from web3 import Web3
+
+SCRIPT_PATH = Path(__file__).resolve().parent
+DOTENV_PATH = Path(SCRIPT_PATH, ".env")
+
+env_file_vars = dotenv_values(DOTENV_PATH)
+trader_quickstart_path = env_file_vars.get("TRADER_QUICKSTART_PATH")
+
+sys.path.insert(0, '../scripts')
+sys.path.insert(0, os.path.expanduser(trader_quickstart_path))
+sys.path.insert(0, os.path.expanduser(f"{trader_quickstart_path}/scripts"))
+
+import trades
+from mech_request_utils import get_mech_requests
+from trades import INVALID_ANSWER, MarketState, TradeResult
+
+RPC = env_file_vars.get("RPC")
+SERVICE_REGISTRY_ADDRESS = "0x9338b5153AE39BB89f50468E608eD9d764B755fD"
+
+
+def _get_contract(address: str) -> Any:
+    w3 = Web3(Web3.HTTPProvider(RPC))
+    abi = _get_abi(address)
+    contract = w3.eth.contract(address=Web3.to_checksum_address(address), abi=abi)
+    return contract
+
+
+def _get_abi(address: str) -> List:
+    contract_abi_url = (
+        "https://gnosis.blockscout.com/api/v2/smart-contracts/{contract_address}"
+    )
+    response = requests.get(contract_abi_url.format(contract_address=address)).json()
+
+    if "result" in response:
+        result = response["result"]
+        try:
+            abi = json.loads(result)
+        except json.JSONDecodeError:
+            print("Error: Failed to parse 'result' field as JSON")
+            sys.exit(1)
+    else:
+        abi = response.get("abi")
+
+    return abi if abi else []
+
+
+def _populate_mech_requests(
+    fpmm_trades: Dict[str, Any], mech_requests: Dict[str, Any]
+) -> List[str]:
+    """Populate each trade in trades_json with the corresponding mech_requests"""
+
+    print("Populating mech requests...")
+
+    # Sort mech requests by timestamp
+    dumped_mech_requests = list(mech_requests.values())
+    sorted_mech_requests = sorted(
+        dumped_mech_requests, key=lambda x: int(x["blockTimestamp"])
+    )
+    timestamps = [int(x["blockTimestamp"]) for x in sorted_mech_requests]
+
+    # TODO shallow copy for efficiency, be careful
+    outstanding_mech_requests = mech_requests.copy()
+
+    for trade in fpmm_trades:
+        creation_timestamp = int(trade["creationTimestamp"])
+
+        # Find the mech request immediately before 'creationTimestamp'
+        idx = bisect.bisect_left(timestamps, creation_timestamp) - 1
+        found = False
+
+        if idx < 0:
+            print("ERROR: idx < 0")
+            continue
+
+        N = 3  # Adjust N to the number of indices you want to check
+        for i in range(idx, max(0, idx - N), -1):
+            mech_request = sorted_mech_requests[i]
+            mech_request_id = mech_request["id"]
+
+            if trade["title"] in mech_request["ipfsContents"]["prompt"]:
+                trade["mechRequestId"] = mech_request_id
+                del outstanding_mech_requests[mech_request_id]
+                found = True
+                if i != idx:
+                    print(
+                        f"WARNING: '{trade['title']}' was not found at idx={idx}, used idx={i} instead."
+                    )
+                break
+
+        if not found:
+            print(
+                f"ERROR: '{trade['title']}' is not found in any mech request up to {N} indices before idx={idx}."
+            )
+            print(f"{trade['id']=}")
+
+    return list(outstanding_mech_requests.keys())
+
+
+def _populate_market_states(fpmm_trades: Dict[str, Any]) -> None:
+    print("Populating market states...")
+
+    for trade in fpmm_trades:
+        fpmm = trade["fpmm"]
+        state = trades._get_market_state(fpmm)  # pylint: disable=protected-access
+        fpmm["state"] = state.value
+
+        if state == MarketState.CLOSED:
+            outcome_index = int(trade["outcomeIndex"])
+            current_answer = int(fpmm["currentAnswer"], 16)
+            if current_answer == INVALID_ANSWER:
+                trade["result"] = TradeResult.INVALID.value
+            elif current_answer == outcome_index:
+                trade["result"] = TradeResult.WIN.value
+            else:
+                trade["result"] = TradeResult.LOSE.value
+        else:
+            trade["result"] = TradeResult.UNKNOWN.value
+
+
+def get_service_safe(service_id: int) -> str:
+    """Gets the service Safe"""
+    service_registry = _get_contract(SERVICE_REGISTRY_ADDRESS)
+    service_safe_address = service_registry.functions.getService(service_id).call()[1]
+    return service_safe_address
+
+
+def generate_dataset(service_id: int) -> (Dict[str, Any], Dict[str, Any], List[str]):
+    """Generates the dataset"""
+    dataset_json = f"dataset_{service_id}.json"
+
+    service_safe_address = get_service_safe(service_id)
+
+    print(f"{service_id=}")
+    print(f"{service_safe_address=}")
+    print(service_safe_address.lower())
+
+    mech_requests = get_mech_requests(service_safe_address, dataset_json)
+
+    fpmm_trades = trades._query_omen_xdai_subgraph(service_safe_address.lower())[  # pylint: disable=protected-access
+        "data"
+    ]["fpmmTrades"]
+    outstanding_mech_request_ids = _populate_mech_requests(fpmm_trades, mech_requests)
+    _populate_market_states(fpmm_trades)
+
+    try:
+        with open(dataset_json, "r", encoding="utf-8") as file:
+            data = json.load(file)
+    except (FileNotFoundError, json.JSONDecodeError):
+        data = {}
+
+    data["fpmmTrades"] = fpmm_trades
+    data["outstandingMechRequestIds"] = outstanding_mech_request_ids
+
+    with open(dataset_json, "w", encoding="utf-8") as file:
+        json.dump(data, file, indent=2, sort_keys=True)
+
+    print(f"Finished generating datasets for service {service_id}")
+    print("")
+    print("Finished reading dataset:")
+    print(f"  - {len(fpmm_trades)} trades")
+    print(f"  - {len(mech_requests)} mech requests")
+    print(f"  - {len(outstanding_mech_request_ids)} outstanding mech requests")
+
+    return fpmm_trades, mech_requests, outstanding_mech_request_ids
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(
+        description="Generate dataset for a specific service."
+    )
+    parser.add_argument("service_id", type=int, help="Service ID is required.")
+    args = parser.parse_args()
+    generate_dataset(args.service_id)
diff --git a/notebooks/roi_analysis.ipynb b/notebooks/roi_analysis.ipynb
new file mode 100644
index 0000000..356b19c
--- /dev/null
+++ b/notebooks/roi_analysis.ipynb
@@ -0,0 +1,408 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import ipywidgets as widgets\n",
+    "import json\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import sys\n",
+    "import os\n",
+    "import requests\n",
+    "import pandas as pd\n",
+    "import pytz\n",
+    "from collections import defaultdict, Counter\n",
+    "from datetime import datetime, timedelta, timezone\n",
+    "from dotenv import dotenv_values\n",
+    "from IPython.display import display, HTML\n",
+    "\n",
+    "# Create a local \".env\" file containing the variables\n",
+    "#\n",
+    "#    RPC=<Gnosis RPC endpoint>\n",
+    "#    SUBGRAPH_API_KEY=<Subgraph API key>\n",
+    "#    GNOSISSCAN_API_KEY=<Gnosisscan API key> (optional, just used for the last part of the Notebook)\n",
+    "#    TRADER_QUICKSTART_PATH=<trader-quickstart path>\n",
+    "DOTENV_PATH = \".env\"\n",
+    "\n",
+    "env_file_vars = dotenv_values(DOTENV_PATH)\n",
+    "trader_quickstart_path = env_file_vars.get(\"TRADER_QUICKSTART_PATH\")\n",
+    "\n",
+    "sys.path.insert(0, '../scripts')\n",
+    "sys.path.insert(0, os.path.expanduser(trader_quickstart_path))\n",
+    "sys.path.insert(0, os.path.expanduser(f\"{trader_quickstart_path}/scripts\"))\n",
+    "\n",
+    "import generate_roi_analysis_dataset\n",
+    "from trades import MarketState, TradeResult, INVALID_ANSWER, _compute_roi\n",
+    "\n",
+    "def annotate_bars(ax):\n",
+    "    \"\"\"Annotates each bar in the given axis with its height value.\"\"\"\n",
+    "    for p in ax.patches:\n",
+    "        ax.annotate(f'{int(p.get_height())}', \n",
+    "                    (p.get_x() + p.get_width() / 2., p.get_height()), \n",
+    "                    ha='center', va='center', \n",
+    "                    xytext=(0, 5), \n",
+    "                    textcoords='offset points')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Edit these parameters accordingly\n",
+    "\n",
+    "service_id = 335\n",
+    "start_date_str = \"2024-03-01T00:00:01Z\"\n",
+    "end_date_str = \"2024-09-16T23:59:59Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "service_safe_address = generate_roi_analysis_dataset.get_service_safe(service_id)\n",
+    "\n",
+    "print(f\"{service_id=}\")\n",
+    "print(f\"{service_safe_address=}\")\n",
+    "\n",
+    "dataset_json = f\"dataset_{service_id}.json\"\n",
+    "\n",
+    "generate_roi_analysis_dataset.generate_dataset(service_id)\n",
+    "\n",
+    "with open(dataset_json, 'r') as file:\n",
+    "    data = json.load(file)\n",
+    "    mech_requests = data[\"mechRequests\"]\n",
+    "    fpmm_trades = data[\"fpmmTrades\"]\n",
+    "    outstanding_mech_request_ids = data[\"outstandingMechRequestIds\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Transform to a Dataframe\n",
+    "\n",
+    "df = pd.json_normalize(fpmm_trades)\n",
+    "\n",
+    "df['creationTimestamp'] = pd.to_numeric(df['creationTimestamp'], errors='coerce')\n",
+    "\n",
+    "df['result'] = df['result'].map(TradeResult)\n",
+    "df['result'] = pd.Categorical(df['result'])\n",
+    "\n",
+    "df['fpmm.state'] = df['fpmm.state'].map(lambda x: MarketState(x).name.lower())\n",
+    "df['fpmm.state'] = pd.Categorical(df['fpmm.state'])\n",
+    "\n",
+    "df['mechTool'] = df['mechRequestId'].map(lambda x: mech_requests[x]['ipfsContents']['tool'])\n",
+    "\n",
+    "df['deliver.confidence'] = df['mechRequestId'].map(lambda x: json.loads(mech_requests[x]['deliver']['ipfsContents']['result'])['confidence'])\n",
+    "df['deliver.p_yes'] = df['mechRequestId'].map(lambda x: json.loads(mech_requests[x]['deliver']['ipfsContents']['result'])['p_yes'])\n",
+    "\n",
+    "df['collateralAmount'] = df['collateralAmount'].astype(float) / 1e18\n",
+    "df['outcomeTokensTraded'] = df['outcomeTokensTraded'].astype(float) / 1e18\n",
+    "df['feeAmount'] = df['feeAmount'].astype(float) / 1e18\n",
+    "\n",
+    "# Display a few columns and rows\n",
+    "df_selected = df[['id', 'outcomeTokensTraded', 'fpmm.state', 'result', 'mechTool', 'deliver.confidence', 'deliver.p_yes']]\n",
+    "display(HTML(df_selected.head(5).to_html(index=False)))\n",
+    "print(df.columns)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Filter dataset\n",
+    "\n",
+    "start_timestamp = datetime.fromisoformat(start_date_str.replace(\"Z\", \"+00:00\")).timestamp()\n",
+    "end_timestamp = datetime.fromisoformat(end_date_str.replace(\"Z\", \"+00:00\")).timestamp()\n",
+    "\n",
+    "print(f\"Total trades: {len(df)}\")\n",
+    "\n",
+    "# Filter by selected dates\n",
+    "df = df[(df['creationTimestamp'] >= start_timestamp) & (df['creationTimestamp'] <= end_timestamp)]\n",
+    "print(f\"Start date: {start_date_str}\")\n",
+    "print(f\"End date: {end_date_str}\")\n",
+    "print(f\"Filtered by date: {len(df)}\")\n",
+    "\n",
+    "# Filter by closed state\n",
+    "df = df[df['fpmm.state'] == 'closed']\n",
+    "print(f\"Filtered by state: {len(df)}\")\n",
+    "print(\"\")\n",
+    "\n",
+    "# Filter outstanding mech requests\n",
+    "print(f\"Total outstanding mech requests: {len(outstanding_mech_request_ids)}\")\n",
+    "\n",
+    "outstanding_mech_request_ids = [request_id for request_id in outstanding_mech_request_ids \n",
+    "                          if start_timestamp <= int(mech_requests[request_id]['blockTimestamp']) <= end_timestamp]\n",
+    "print(f\"Filtered by date: {len(outstanding_mech_request_ids)}\")\n",
+    "\n",
+    "print(\"\")\n",
+    "print(f\"Summary of period {start_date_str} - {end_date_str}\")\n",
+    "print(\"-------------------------------------------------------------\")\n",
+    "\n",
+    "investment = df['collateralAmount'].sum()\n",
+    "market_fees = df['feeAmount'].sum()\n",
+    "mech_fees = 0.01 * len(df)\n",
+    "outstanding_mech_fees = 0.01 * len(outstanding_mech_request_ids)\n",
+    "win_earnings = df[df['result'] == TradeResult.WIN]['outcomeTokensTraded'].sum()\n",
+    "invalid_earnings = df[df['result'] == TradeResult.INVALID]['collateralAmount'].sum()\n",
+    "\n",
+    "roi = _compute_roi(\n",
+    "    investment + market_fees + mech_fees + outstanding_mech_fees,\n",
+    "    win_earnings + invalid_earnings\n",
+    ")\n",
+    "\n",
+    "print(f\"Total trades:     {len(df)}\")\n",
+    "\n",
+    "print(\"counts:\")\n",
+    "result_counts = df['result'].value_counts()\n",
+    "print(result_counts)\n",
+    "print(\"\")\n",
+    "\n",
+    "\n",
+    "# Sum the 'outcomeTokensTraded' per result type\n",
+    "print(\"collateralAmount:\")\n",
+    "outcome_sums = df.groupby('result', observed=False)['collateralAmount'].sum()\n",
+    "print(outcome_sums)\n",
+    "\n",
+    "\n",
+    "\n",
+    "print(f\"{investment= }\")\n",
+    "print(f\"{market_fees= }\")\n",
+    "print(f\"{mech_fees= }\")\n",
+    "print(f\"{outstanding_mech_fees= }\")\n",
+    "print(f\"{win_earnings= }\")\n",
+    "print(f\"{invalid_earnings= }\")\n",
+    "print(\"\")\n",
+    "print(f\"{roi=}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Display count by state\n",
+    "result_counts = df['result'].value_counts()\n",
+    "#print(result_counts)\n",
+    "\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "ax = sns.barplot(x=result_counts.index, y=result_counts.values, palette='viridis', hue=result_counts.index)\n",
+    "annotate_bars(ax)\n",
+    "plt.title(\"Distribution of Trades for Closed State\")\n",
+    "plt.xlabel(\"Result\")\n",
+    "plt.ylabel(\"Count\")\n",
+    "plt.show()\n",
+    "\n",
+    "# Count occurrences of each mech_tool\n",
+    "mech_tool_counts = df['mechTool'].value_counts()\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "ax = sns.barplot(x=mech_tool_counts.index, y=mech_tool_counts.values, palette='viridis', hue=mech_tool_counts.index)\n",
+    "annotate_bars(ax)\n",
+    "plt.title(\"Count of Each MechTool Used\")\n",
+    "plt.xlabel(\"MechTool\")\n",
+    "plt.xticks(rotation=90)\n",
+    "plt.ylabel(\"Count\")\n",
+    "plt.show()\n",
+    "\n",
+    "# Count occurrences of each mech_tool per result\n",
+    "mech_tool_counts = df.groupby(['result', 'mechTool'], observed=False).size().reset_index(name='count')\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "ax = sns.barplot(x='result', y='count', hue='mechTool', data=mech_tool_counts, palette='husl')\n",
+    "annotate_bars(ax)\n",
+    "plt.title(\"Count of Each MechTool Used per Market Result\")\n",
+    "plt.xlabel(\"Market Result\")\n",
+    "plt.ylabel(\"Count\")\n",
+    "plt.show()\n",
+    "\n",
+    "# Count the number of trades per market\n",
+    "trades_per_market = df.groupby('fpmm.id').size()\n",
+    "market_counts = trades_per_market.value_counts().sort_index().reset_index()\n",
+    "market_counts.columns = ['Number of Trades', 'Number of Markets']\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "ax = sns.barplot(x='Number of Trades', y='Number of Markets', data=market_counts, palette='husl', hue='Number of Trades')\n",
+    "annotate_bars(ax)\n",
+    "plt.title('Histogram of Number of Markets by Trades Count')\n",
+    "plt.xlabel('Number of Trades')\n",
+    "plt.ylabel('Number of Markets')\n",
+    "plt.grid(axis='y')\n",
+    "plt.show()\n",
+    "\n",
+    "\n",
+    "# Find the market with the maximum number of trades\n",
+    "max_trades_market = trades_per_market.idxmax()  # Get the fpmm_id with the highest count\n",
+    "max_trades_count = trades_per_market.max()  # Get the highest count of trades\n",
+    "\n",
+    "print(f\"Market with the highest number of trades: {max_trades_market} ({max_trades_count} trades)\")\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plot histogram\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.histplot(df['outcomeTokensTraded'], bins=50)\n",
+    "plt.title('Histogram of Outcome Tokens Traded')\n",
+    "plt.xlabel('Outcome Tokens Traded (ETH)')\n",
+    "plt.ylabel('Frequency')\n",
+    "plt.grid(True)\n",
+    "plt.show()\n",
+    "print(\"Market with max. outcomeTokensTraded \")\n",
+    "max_id = df.loc[df['outcomeTokensTraded'].idxmax(), 'id']\n",
+    "print(max_id)\n",
+    "print(df['outcomeTokensTraded'].max())\n",
+    "\n",
+    "# Plot histogram\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.histplot(df['collateralAmount'], bins=50)\n",
+    "plt.title('Histogram of Collateral Amount')\n",
+    "plt.xlabel('Collateral Amount (ETH)')\n",
+    "plt.ylabel('Frequency')\n",
+    "plt.grid(True)\n",
+    "plt.show()\n",
+    "print(\"Market with max. collateralAmount \")\n",
+    "max_id = df.loc[df['collateralAmount'].idxmax(), 'id']\n",
+    "print(max_id)\n",
+    "print(df['collateralAmount'].max())\n",
+    "\n",
+    "\n",
+    "# Create grid for histograms\n",
+    "g = sns.FacetGrid(df, col='result', col_wrap=4, height=4)\n",
+    "g.map(sns.histplot, 'collateralAmount', bins=50)\n",
+    "g.set_axis_labels('Collateral Amount (ETH)', 'Frequency')\n",
+    "plt.show()\n",
+    "\n",
+    "# Create grid for histograms\n",
+    "g = sns.FacetGrid(df, col='result', col_wrap=4, height=4)\n",
+    "g.map(sns.histplot, 'outcomeTokensTraded', bins=50)\n",
+    "g.set_axis_labels('Outcome Tokens Traded (ETH)', 'Frequency')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# Plot histogram of confidence (total)\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.histplot(df['deliver.confidence'], bins=50)\n",
+    "plt.title('Histogram of Confidence (Total)')\n",
+    "plt.xlabel('Confidence')\n",
+    "plt.ylabel('Frequency')\n",
+    "plt.grid(True)\n",
+    "plt.show()\n",
+    "\n",
+    "# Plot histogram of p_yes (total)\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.histplot(df['deliver.p_yes'], bins=50)\n",
+    "plt.title('Histogram of p_yes (Total)')\n",
+    "plt.xlabel('Confidence')\n",
+    "plt.ylabel('Frequency')\n",
+    "plt.grid(True)\n",
+    "plt.show()\n",
+    "\n",
+    "# Create grid for histograms of confidence per market state\n",
+    "g = sns.FacetGrid(df, col='result', col_wrap=4, height=4)\n",
+    "g.map(sns.histplot, 'deliver.confidence', bins=50)\n",
+    "g.set_axis_labels('Confidence', 'Frequency')\n",
+    "plt.show()\n",
+    "\n",
+    "# Create grid for histograms of p_yes per market state\n",
+    "g = sns.FacetGrid(df, col='result', col_wrap=4, height=4)\n",
+    "g.map(sns.histplot, 'deliver.p_yes', bins=50)\n",
+    "g.set_axis_labels('p_yes', 'Frequency')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "# GnosisScan URL to get transaction history\n",
+    "gnosisscan_api_key = env_file_vars.get(\"GNOSISSCAN_API_KEY\")\n",
+    "url = f\"https://api.gnosisscan.io/api?module=account&action=txlist&address={service_safe_address}&startblock=0&endblock=99999999&sort=asc&apikey={gnosisscan_api_key}\"\n",
+    "response = requests.get(url)\n",
+    "data = response.json()\n",
+    "\n",
+    "if data['status'] == '1':\n",
+    "    transactions = data['result']\n",
+    "else:\n",
+    "    print(\"Error fetching data:\", data['message'])\n",
+    "    transactions = []\n",
+    "\n",
+    "# Initialize lists to store balance over time\n",
+    "timestamps = []\n",
+    "balances = []\n",
+    "\n",
+    "# Track the balance over time\n",
+    "balance = 0  # in wei\n",
+    "for tx in transactions:\n",
+    "    timestamp = datetime.utcfromtimestamp(int(tx['timeStamp']))\n",
+    "    timestamps.append(timestamp)\n",
+    "\n",
+    "    value = int(tx['value'])  # value in wei\n",
+    "    if tx['to'].lower() == service_safe_address.lower():\n",
+    "        balance += value  # Incoming transaction\n",
+    "    elif tx['from'].lower() == service_safe_address.lower():\n",
+    "        balance -= value  # Outgoing transaction\n",
+    "    \n",
+    "    # Convert from wei to ether (or native token like xDAI) and store balance\n",
+    "    balances.append(balance / 10**18)\n",
+    "\n",
+    "# Plot the balance over time\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.plot(timestamps, balances)\n",
+    "plt.title(f'Refills Over Time for {service_safe_address} on Gnosis Chain')\n",
+    "plt.xlabel('Time')\n",
+    "plt.ylabel('Balance (xDAI or GNO)')\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "market-creator-nnXotJ75-py3.10",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/sample.env b/notebooks/sample.env
new file mode 100644
index 0000000..c4af800
--- /dev/null
+++ b/notebooks/sample.env
@@ -0,0 +1,4 @@
+RPC=
+SUBGRAPH_API_KEY=
+GNOSISSCAN_API_KEY=
+TRADER_QUICKSTART_PATH=
diff --git a/tox.ini b/tox.ini
index 9692074..b231da8 100644
--- a/tox.ini
+++ b/tox.ini
@@ -155,19 +155,20 @@ deps = tomte[bandit]==0.2.14
 commands =
     bandit -s B101 -r {env:SERVICE_SPECIFIC_PACKAGES}
     bandit -s B101 -r scripts
+    bandit -s B101 -r notebooks
     bandit -s B101 -r market_approval_server
 
 [testenv:black]
 skipsdist = True
 skip_install = True
 deps = tomte[black]==0.2.14
-commands = black {env:SERVICE_SPECIFIC_PACKAGES} scripts market_approval_server
+commands = black {env:SERVICE_SPECIFIC_PACKAGES} scripts notebooks market_approval_server
 
 [testenv:black-check]
 skipsdist = True
 skip_install = True
 deps = tomte[black]==0.2.14
-commands = black --check {env:SERVICE_SPECIFIC_PACKAGES} scripts market_approval_server
+commands = black --check {env:SERVICE_SPECIFIC_PACKAGES} scripts notebooks market_approval_server
 
 [testenv:isort]
 skipsdist = True
@@ -176,13 +177,14 @@ deps = tomte[isort]==0.2.14
 commands =
     isort {env:SERVICE_SPECIFIC_PACKAGES} --gitignore
     isort scripts/
+    isort notebooks/
     isort market_approval_server/
 
 [testenv:isort-check]
 skipsdist = True
 skip_install = True
 deps = tomte[isort]==0.2.14
-commands = isort --check-only --gitignore {env:SERVICE_SPECIFIC_PACKAGES} scripts market_approval_server
+commands = isort --check-only --gitignore {env:SERVICE_SPECIFIC_PACKAGES} scripts notebooks market_approval_server
 
 [testenv:check-hash]
 skipsdist = True
@@ -213,6 +215,7 @@ deps = tomte[flake8]==0.2.14
 commands =
     flake8 {env:SERVICE_SPECIFIC_PACKAGES}
     flake8 scripts
+    flake8 notebooks
     flake8 market_approval_server
 
 [testenv:mypy]
@@ -230,7 +233,7 @@ skipsdist = True
 deps =
     {[deps-packages]deps}
     tomte[pylint]==0.2.15
-commands = pylint --ignore-patterns=".*_pb2.py" --ignore-paths="^packages/valory/.*$" --disable=C0103,R0801,R0912,C0301,C0201,C0204,C0209,W1203,C0302,R1735,R1729,W0511,E0401 {env:SERVICE_SPECIFIC_PACKAGES} scripts market_approval_server
+commands = pylint --ignore-patterns=".*_pb2.py" --ignore-paths="^packages/valory/.*$" --disable=C0103,R0801,R0912,C0301,C0201,C0204,C0209,W1203,C0302,R1735,R1729,W0511,E0401 {env:SERVICE_SPECIFIC_PACKAGES} scripts notebooks market_approval_server
 
 [testenv:safety]
 skipsdist = True
@@ -242,7 +245,7 @@ commands = safety check -i 37524 -i 38038 -i 37776 -i 38039 -i 39621 -i 40291 -i
 skipsdist = True
 skip_install = True
 deps = tomte[darglint]==0.2.14
-commands = darglint scripts market_approval_server {env:SERVICE_SPECIFIC_PACKAGES}/*
+commands = darglint scripts notebooks market_approval_server {env:SERVICE_SPECIFIC_PACKAGES}/*
 
 [testenv:check-generate-all-protocols]
 skipsdist = True
@@ -306,7 +309,7 @@ exclude=.md,
 max-line-length = 88
 select = B,C,D,E,F,I,W,
 ignore = E203,E501,W503,D202,B014,D400,D401,DAR
-application-import-names = packages,tests,scripts,market_approval_server
+application-import-names = packages,tests,scripts,notebooks,market_approval_server
 
 # ignore as too restrictive for our needs:
 # D400: First line should end with a period

From ba25dbc29f1b801fdd5d4d08a519c8fb8a97a325 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Tue, 17 Sep 2024 13:22:29 +0200
Subject: [PATCH 27/36] chore: update instructions

---
 notebooks/generate_roi_analysis_dataset.py |   3 +-
 notebooks/roi_analysis.ipynb               | 468 +++++++++++++++++++--
 2 files changed, 443 insertions(+), 28 deletions(-)

diff --git a/notebooks/generate_roi_analysis_dataset.py b/notebooks/generate_roi_analysis_dataset.py
index 97bddce..35577de 100644
--- a/notebooks/generate_roi_analysis_dataset.py
+++ b/notebooks/generate_roi_analysis_dataset.py
@@ -52,6 +52,7 @@
 
 RPC = env_file_vars.get("RPC")
 SERVICE_REGISTRY_ADDRESS = "0x9338b5153AE39BB89f50468E608eD9d764B755fD"
+DATASET_PREFIX = "roi_analysis_dataset_"
 
 
 def _get_contract(address: str) -> Any:
@@ -162,7 +163,7 @@ def get_service_safe(service_id: int) -> str:
 
 def generate_dataset(service_id: int) -> (Dict[str, Any], Dict[str, Any], List[str]):
     """Generates the dataset"""
-    dataset_json = f"dataset_{service_id}.json"
+    dataset_json = f"{DATASET_PREFIX}{service_id}.json"
 
     service_safe_address = get_service_safe(service_id)
 
diff --git a/notebooks/roi_analysis.ipynb b/notebooks/roi_analysis.ipynb
index 356b19c..1ad092d 100644
--- a/notebooks/roi_analysis.ipynb
+++ b/notebooks/roi_analysis.ipynb
@@ -1,8 +1,72 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Trader ROI analysis notebook\n",
+    "\n",
+    "## How to run this notebook\n",
+    "1. Clone locally trader quickstart repository https://github.com/valory-xyz/trader-quickstart (branch main)\n",
+    "2. Clone locally market creator repository https://github.com/valory-xyz/market-creator (branch feat/roi_analysis). The rest of the steps occur on the market creator repository.\n",
+    "3. Poetry install\n",
+    "    ```bash\n",
+    "    cd market-creator\n",
+    "    poetry shell\n",
+    "    poetry install\n",
+    "    ```\n",
+    "\n",
+    "4. Copy the file sample.env to .env\n",
+    "\n",
+    "    ```bash\n",
+    "    cd notebooks\n",
+    "    cp sample.env .env\n",
+    "    ```\n",
+    "\n",
+    "5. Populate the variables inside the .env file. The variable `GNOSISSCAN_API_KEY` is only required for the last part of the notebook. Fill to a dummy value if you don’t want to use it.\n",
+    "\n",
+    "    ```bash\n",
+    "    RPC=\n",
+    "    SUBGRAPH_API_KEY=\n",
+    "    GNOSISSCAN_API_KEY=\n",
+    "    TRADER_QUICKSTART_PATH=\n",
+    "    ```\n",
+    "\n",
+    "6. The first time you want to run an analysis for a service, it’s recommended that you create the dataset outside the notebook as follows:\n",
+    "    \n",
+    "    ```bash\n",
+    "    python generate_roi_analysis_dataset.py 327\n",
+    "    ```\n",
+    "\n",
+    "    If you are collecting a lot of data, it might take a while to generate the dataset, and you might need to run the scripts multiple times, due to network errors.\n",
+    "    As a result of this step you should end with a file called `roi_analysis_dataset_<service_id>.json`\n",
+    "\n",
+    "7. Edit the cell of this notebook with the required data\n",
+    "\n",
+    "    ```python\n",
+    "    # Edit these parameters accordingly\n",
+    "    service_id = 335\n",
+    "    start_date_str = \"2024-03-01T00:00:01Z\"\n",
+    "    end_date_str = \"2024-09-16T23:59:59Z\"\n",
+    "    ```\n",
+    "\n",
+    "8. Run the notebook.\n",
+    "\n",
+    "Notes:\n",
+    "\n",
+    "- The dataset collection process collects the whole data for a service.\n",
+    "- The notebook will then filter for the specified date range and closed markets.\n",
+    "- Therefore, re-running the notebook will only update the trades/mech calls made since last running (should be a <1 minute process if less than 100 new trades or mech calls). \n",
+    "- For quickly usage, if you don’t want to re-collect data, simply comment the following line on the notebook:\n",
+    "\n",
+    "    ```python\n",
+    "    generate_dataset(service_id)\n",
+    "    ```"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,12 +84,6 @@
     "from dotenv import dotenv_values\n",
     "from IPython.display import display, HTML\n",
     "\n",
-    "# Create a local \".env\" file containing the variables\n",
-    "#\n",
-    "#    RPC=<Gnosis RPC endpoint>\n",
-    "#    SUBGRAPH_API_KEY=<Subgraph API key>\n",
-    "#    GNOSISSCAN_API_KEY=<Gnosisscan API key> (optional, just used for the last part of the Notebook)\n",
-    "#    TRADER_QUICKSTART_PATH=<trader-quickstart path>\n",
     "DOTENV_PATH = \".env\"\n",
     "\n",
     "env_file_vars = dotenv_values(DOTENV_PATH)\n",
@@ -35,7 +93,7 @@
     "sys.path.insert(0, os.path.expanduser(trader_quickstart_path))\n",
     "sys.path.insert(0, os.path.expanduser(f\"{trader_quickstart_path}/scripts\"))\n",
     "\n",
-    "import generate_roi_analysis_dataset\n",
+    "from generate_roi_analysis_dataset import get_service_safe, generate_dataset, DATASET_PREFIX\n",
     "from trades import MarketState, TradeResult, INVALID_ANSWER, _compute_roi\n",
     "\n",
     "def annotate_bars(ax):\n",
@@ -50,12 +108,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Edit these parameters accordingly\n",
-    "\n",
     "service_id = 335\n",
     "start_date_str = \"2024-03-01T00:00:01Z\"\n",
     "end_date_str = \"2024-09-16T23:59:59Z\""
@@ -63,18 +120,85 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "service_id=335\n",
+      "service_safe_address='0x3c01B79BaD670A37C8784bDf47b973b341064f10'\n",
+      "service_id=335\n",
+      "service_safe_address='0x3c01B79BaD670A37C8784bDf47b973b341064f10'\n",
+      "0x3c01b79bad670a37c8784bdf47b973b341064f10\n",
+      "          Fetching requests...\n",
+      "          16569 requests found\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "             Fetching delivers: 100%|██████████| 1/1 [00:03<00:00,  3.39s/it]\n",
+      "    Finding duplicate delivers: 100%|██████████| 16569/16569 [00:00<00:00, 116791.96it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Duplicate deliver ids found: 0\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      " Processing duplicate delivers: 0it [00:00, ?it/s]\n",
+      "    Finding duplicate delivers: 100%|██████████| 16569/16569 [00:00<00:00, 677019.97it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Duplicate deliver ids found: 0\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "        Fetching IPFS contents: 0it [00:00, ?it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time of execution: 0:00:29.735739\n",
+      "Populating mech requests...\n",
+      "Populating market states...\n",
+      "Finished generating datasets for service 335\n",
+      "\n",
+      "Finished reading dataset:\n",
+      "  - 2775 trades\n",
+      "  - 16569 mech requests\n",
+      "  - 13794 outstanding mech requests\n"
+     ]
+    }
+   ],
    "source": [
-    "service_safe_address = generate_roi_analysis_dataset.get_service_safe(service_id)\n",
+    "service_safe_address = get_service_safe(service_id)\n",
     "\n",
     "print(f\"{service_id=}\")\n",
     "print(f\"{service_safe_address=}\")\n",
     "\n",
-    "dataset_json = f\"dataset_{service_id}.json\"\n",
+    "dataset_json = f\"{DATASET_PREFIX}{service_id}.json\"\n",
     "\n",
-    "generate_roi_analysis_dataset.generate_dataset(service_id)\n",
+    "# Comment this line to avoid updating the dataset\n",
+    "generate_dataset(service_id)\n",
     "\n",
     "with open(dataset_json, 'r') as file:\n",
     "    data = json.load(file)\n",
@@ -85,9 +209,98 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>id</th>\n",
+       "      <th>outcomeTokensTraded</th>\n",
+       "      <th>fpmm.state</th>\n",
+       "      <th>result</th>\n",
+       "      <th>mechTool</th>\n",
+       "      <th>deliver.confidence</th>\n",
+       "      <th>deliver.p_yes</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0x47feda1a124caec341d8f60e5d524c77a76545a10x3c01b79bad670a37c8784bdf47b973b341064f100x1</td>\n",
+       "      <td>0.286803</td>\n",
+       "      <td>closed</td>\n",
+       "      <td>Win</td>\n",
+       "      <td>prediction-online-sme</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>0.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>0x02b29b4025d4bc4a93a24304a5bebaa930cd53e10x3c01b79bad670a37c8784bdf47b973b341064f100x2</td>\n",
+       "      <td>0.203868</td>\n",
+       "      <td>closed</td>\n",
+       "      <td>Win</td>\n",
+       "      <td>prediction-online-sme</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>0.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>0x703667dcd2860823fdcdabe4ed0b337efc17ab100x3c01b79bad670a37c8784bdf47b973b341064f100x3</td>\n",
+       "      <td>0.214452</td>\n",
+       "      <td>closed</td>\n",
+       "      <td>Win</td>\n",
+       "      <td>prediction-online-sme</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>0.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>0x703667dcd2860823fdcdabe4ed0b337efc17ab100x3c01b79bad670a37c8784bdf47b973b341064f100x5d</td>\n",
+       "      <td>0.226488</td>\n",
+       "      <td>closed</td>\n",
+       "      <td>Win</td>\n",
+       "      <td>prediction-online-sme</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>0.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>0x9a2e0a075256fd2f21dfe8bbf1af7fdcd45b70f10x3c01b79bad670a37c8784bdf47b973b341064f100x4</td>\n",
+       "      <td>0.213473</td>\n",
+       "      <td>closed</td>\n",
+       "      <td>Win</td>\n",
+       "      <td>prediction-online-sme</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>0.30</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['collateralAmount', 'collateralAmountUSD', 'collateralToken',\n",
+      "       'creationTimestamp', 'feeAmount', 'id', 'mechRequestId',\n",
+      "       'oldOutcomeTokenMarginalPrice', 'outcomeIndex',\n",
+      "       'outcomeTokenMarginalPrice', 'outcomeTokensTraded', 'result', 'title',\n",
+      "       'transactionHash', 'type', 'creator.id',\n",
+      "       'fpmm.answerFinalizedTimestamp', 'fpmm.arbitrationOccurred',\n",
+      "       'fpmm.condition.id', 'fpmm.currentAnswer', 'fpmm.id',\n",
+      "       'fpmm.isPendingArbitration', 'fpmm.openingTimestamp', 'fpmm.outcomes',\n",
+      "       'fpmm.state', 'fpmm.title', 'mechTool', 'deliver.confidence',\n",
+      "       'deliver.p_yes'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
    "source": [
     "# Transform to a Dataframe\n",
     "\n",
@@ -118,9 +331,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total trades: 2775\n",
+      "Start date: 2024-03-01T00:00:01Z\n",
+      "End date: 2024-09-16T23:59:59Z\n",
+      "Filtered by date: 2775\n",
+      "Filtered by state: 2721\n",
+      "\n",
+      "Total outstanding mech requests: 13794\n",
+      "Filtered by date: 13794\n",
+      "\n",
+      "Summary of period 2024-03-01T00:00:01Z - 2024-09-16T23:59:59Z\n",
+      "-------------------------------------------------------------\n",
+      "Total trades:     2721\n",
+      "counts:\n",
+      "result\n",
+      "Win        1370\n",
+      "Lose       1030\n",
+      "Invalid     321\n",
+      "Unknown       0\n",
+      "Name: count, dtype: int64\n",
+      "\n",
+      "collateralAmount:\n",
+      "result\n",
+      "Win        669.925229\n",
+      "Lose       420.143946\n",
+      "Invalid    115.394206\n",
+      "Unknown      0.000000\n",
+      "Name: collateralAmount, dtype: float64\n",
+      "investment= 1205.4633803753843\n",
+      "market_fees= 24.109267607507682\n",
+      "mech_fees= 27.21\n",
+      "outstanding_mech_fees= 137.94\n",
+      "win_earnings= 1118.4334728628808\n",
+      "invalid_earnings= 115.39420550288135\n",
+      "\n",
+      "roi=-0.1153598314688754\n"
+     ]
+    }
+   ],
    "source": [
     "# Filter dataset\n",
     "\n",
@@ -190,9 +445,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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GDhwo7w14H2lpaVi9erXKZfkTKXz22Wf47bffYGlpCQ8PD0RHR2Pv3r2wtbVVWH/o0KHYtGkTvvjiC3Tr1g01a9ZESkoKtm/fjsWLF8PHx+e9c77N267LydeoUSP07t0bU6ZMQWxsLJo3bw59fX3cvHkTGzduxNy5c/H555/DwsICs2fPRo8ePVC7dm106dIF1tbWOH/+PLKyshAREfHBcpcuXRrh4eEYN24cAgMD0aZNG1y/fh0///wzateuLd//+vr6mDZtGkJDQ9GoUSN89dVX8unPXVxcEBYWpvZnt27dGs2bN0dYWBhOnTqFevXqISsrC9u3b8exY8cwceJE+XDHZ8+ewcnJCZ9//jl8fHxgZmaGvXv3IiYmRt5LqaOjg19//RVBQUHw9PREaGgoypYtiwcPHuDAgQOwsLDAn3/+CQAYN24cIiMj0bBhQ3z//ffIycnB/Pnz4enpWejry4iICkXYfIFERMXUjRs3pJ49e0ouLi6SgYGBZG5uLtWvX1+aP3++lJ2dLV/v1atX0rhx4yRXV1dJX19fcnZ2lsLDwxXWkSRJys3NlYYPHy6VKlVKMjExkVq0aCHdunWrwOnPY2JiFF6fP+V3/rTXkiRJiYmJUqtWrSRzc3MJwDunQn/27JkUFhYmOTo6Svr6+lKlSpWkn376SWGqaUn6cNOfv/nn5++//5ZCQ0OlUqVKSWZmZlKLFi2ka9euKW2/JEnS06dPpb59+0ply5aVDAwMJCcnJykkJER68uSJwr7YuHGjwuvu3LkjAZBWrFjx1swF7eN/+/f05/mWLl0q1axZUzI2NpbMzc2lqlWrSsOGDZMePnyosN727dulevXqScbGxpKFhYVUp04d6ffff1fYd6r2c0hIiFS+fHmVmf49/Xm+BQsWSO7u7pK+vr5kb28vfffdd9Lff/+t9Pr169dL1atXlwwNDSUbGxspODhYun//vsI6hZ3+XJIkKTs7Wxo7dqzk7u4uGRoaSqamptKnn34qrV69WmG9Fy9eSEOHDpV8fHwkc3NzydTUVPLx8ZF+/vlnpfc8d+6c1KFDB8nW1lYyNDSUypcvL3Xq1Enat2+fwnqHDh2SatasKRkYGEhubm7S4sWL1cpORFQYMkkqBletEhERERERaRBeI0VERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGriDXnx+k7rDx8+hLm5OWQymeg4REREREQkiCRJePbsGRwdHaGjU3C/EwspAA8fPoSzs7PoGEREREREpCESEhLg5ORU4HIWUgDMzc0BvN5ZFhYWgtMQEREREZEo6enpcHZ2ltcIBWEhBciH81lYWLCQIiIiIiKid17yw8kmiIiIiIiI1MRCioiIiIiISE0spIiIiIiIiNTEQqoI5ObmYtSoUXB1dYWxsTEqVKiACRMmQJIk+ToymUzl46effpKvk5KSguDgYFhYWMDKygrdu3dHRkaGiE0iIiIiItJqnGyiCEybNg2LFi1CREQEPD09cfr0aYSGhsLS0hL9+/cHADx69EjhNbt27UL37t3RsWNHeVtwcDAePXqEqKgovHr1CqGhoejVqxfWrl1bpNtDRERERKTtZNKb3SJaKj09HZaWlkhLS/sos/Z99tlnsLe3x7Jly+RtHTt2hLGxMVavXq3yNe3atcOzZ8+wb98+AMDVq1fh4eGBmJgY1KpVCwAQGRmJli1b4v79+3B0dPzguYmIiIiItE1hawMO7SsC9erVw759+3Djxg0AwPnz53H06FEEBQWpXD8pKQk7d+5E9+7d5W3R0dGwsrKSF1EAEBAQAB0dHZw8efLjbgARERERESng0L4iMGLECKSnp8Pd3R26urrIzc3FpEmTEBwcrHL9iIgImJubo0OHDvK2xMRE2NnZKaynp6cHGxsbJCYmftT8RERERESkiIVUEdiwYQPWrFmDtWvXwtPTE7GxsRg4cCAcHR0REhKitP7y5csRHBwMIyMjAWmJiIiIiOhdWEgVgaFDh2LEiBHo3LkzAKBq1aq4d+8epkyZolRIHTlyBNevX8f69esV2h0cHJCcnKzQlpOTg5SUFDg4OHzcDSAiIiIiIgW8RqoIZGVlQUdHcVfr6uoiLy9Pad1ly5ahZs2a8PHxUWj39fVFamoqzpw5I2/bv38/8vLyULdu3Y8TnIiIiIiIVGKPVBFo3bo1Jk2ahHLlysHT0xPnzp3DrFmz0K1bN4X10tPTsXHjRsycOVPpPapUqYLAwED07NkTixcvxqtXr9C3b1907tyZM/YRERERERUxFlJFYP78+Rg1ahS+//57JCcnw9HREb1798bo0aMV1lu3bh0kScJXX32l8n3WrFmDvn37wt/fHzo6OujYsSPmzZtXFJtARERERERv4H2k8PHvI0VERERERMUD7yNFRERERET0kXBoXyEEefQWHeGj2nVliegIRERERETFCnukiIiIiIiI1MRCioiIiIiISE0spIiIiIiIiNTEQoqIiIiIiEhNLKSIiIiIiIjUxEKKiIiIiIhITSykiIiIiIiI1MRCioiIiIiISE0spIiIiIiIiNTEQoqIiIiIiEhNLKSIiIiIiIjUxEKKiIiIiIhITSykiIiIiIiI1MRCioiIiIiISE0spIiIiIiIiNTEQoqIiIiIiEhNLKSIiIiIiIjUxEKKiIiIiIhITSykiIiIiIiI1MRCioiIiIiISE0spIiIiIiIiNTEQoqIiIiIiEhNLKSIiIiIiIjUxEKKiIiIiIhITSykiIiIiIiI1CS0kMrNzcWoUaPg6uoKY2NjVKhQARMmTIAkSfJ1JEnC6NGjUaZMGRgbGyMgIAA3b95UeJ+UlBQEBwfDwsICVlZW6N69OzIyMop6c4iIiIiISEsILaSmTZuGRYsWYcGCBbh69SqmTZuG6dOnY/78+fJ1pk+fjnnz5mHx4sU4efIkTE1N0aJFC2RnZ8vXCQ4OxuXLlxEVFYUdO3bg8OHD6NWrl4hNIiIiIiIiLSCT3uz+KWKfffYZ7O3tsWzZMnlbx44dYWxsjNWrV0OSJDg6OmLw4MEYMmQIACAtLQ329vZYuXIlOnfujKtXr8LDwwMxMTGoVasWACAyMhItW7bE/fv34ejo+M4c6enpsLS0RFpaGiwsLJSWB3n0/kBbrJl2XVkiOgIRERERkUZ4V22QT2iPVL169bBv3z7cuHEDAHD+/HkcPXoUQUFBAIA7d+4gMTERAQEB8tdYWlqibt26iI6OBgBER0fDyspKXkQBQEBAAHR0dHDy5EmVn/vixQukp6crPIiIiIiIiApLT+SHjxgxAunp6XB3d4euri5yc3MxadIkBAcHAwASExMBAPb29gqvs7e3ly9LTEyEnZ2dwnI9PT3Y2NjI1/m3KVOmYNy4cR96c4iIiIiISEsI7ZHasGED1qxZg7Vr1+Ls2bOIiIjAjBkzEBER8VE/Nzw8HGlpafJHQkLCR/08IiIiIiIqWYT2SA0dOhQjRoxA586dAQBVq1bFvXv3MGXKFISEhMDBwQEAkJSUhDJlyshfl5SUhGrVqgEAHBwckJycrPC+OTk5SElJkb/+3wwNDWFoaPgRtoiIiIiIiLSB0B6prKws6OgoRtDV1UVeXh4AwNXVFQ4ODti3b598eXp6Ok6ePAlfX18AgK+vL1JTU3HmzBn5Ovv370deXh7q1q1bBFtBRERERETaRmiPVOvWrTFp0iSUK1cOnp6eOHfuHGbNmoVu3boBAGQyGQYOHIiJEyeiUqVKcHV1xahRo+Do6Ih27doBAKpUqYLAwED07NkTixcvxqtXr9C3b1907ty5UDP2ERERERERqUtoITV//nyMGjUK33//PZKTk+Ho6IjevXtj9OjR8nWGDRuGzMxM9OrVC6mpqWjQoAEiIyNhZGQkX2fNmjXo27cv/P39oaOjg44dO2LevHkiNomIiIiIiLSA0PtIaQreR4r3kSIiIiIiAorJfaSIiIiIiIiKIxZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJuGF1IMHD/D111/D1tYWxsbGqFq1Kk6fPi1fLkkSRo8ejTJlysDY2BgBAQG4efOmwnukpKQgODgYFhYWsLKyQvfu3ZGRkVHUm0JERERERFpCaCH1999/o379+tDX18euXbtw5coVzJw5E9bW1vJ1pk+fjnnz5mHx4sU4efIkTE1N0aJFC2RnZ8vXCQ4OxuXLlxEVFYUdO3bg8OHD6NWrl4hNIiIiIiIiLSCTJEkS9eEjRozAsWPHcOTIEZXLJUmCo6MjBg8ejCFDhgAA0tLSYG9vj5UrV6Jz5864evUqPDw8EBMTg1q1agEAIiMj0bJlS9y/fx+Ojo7vzJGeng5LS0ukpaXBwsJCaXmQR+//sJWab9eVJaIjEBERERFphHfVBvmE9kht374dtWrVwhdffAE7OztUr14dv/zyi3z5nTt3kJiYiICAAHmbpaUl6tati+joaABAdHQ0rKys5EUUAAQEBEBHRwcnT55U+bkvXrxAenq6woOIiIiIiKiwhBZSt2/fxqJFi1CpUiXs3r0b3333Hfr374+IiAgAQGJiIgDA3t5e4XX29vbyZYmJibCzs1NYrqenBxsbG/k6/zZlyhRYWlrKH87Ozh9604iIiIiIqAQTWkjl5eWhRo0amDx5MqpXr45evXqhZ8+eWLx48Uf93PDwcKSlpckfCQkJH/XziIiIiIioZBFaSJUpUwYeHh4KbVWqVEF8fDwAwMHBAQCQlJSksE5SUpJ8mYODA5KTkxWW5+TkICUlRb7OvxkaGsLCwkLhQUREREREVFhCC6n69evj+vXrCm03btxA+fLlAQCurq5wcHDAvn375MvT09Nx8uRJ+Pr6AgB8fX2RmpqKM2fOyNfZv38/8vLyULdu3SLYCiIiIiIi0jZ6Ij88LCwM9erVw+TJk9GpUyecOnUKS5cuxdKlSwEAMpkMAwcOxMSJE1GpUiW4urpi1KhRcHR0RLt27QC87sEKDAyUDwl89eoV+vbti86dOxdqxj4iIiIiIiJ1CS2kateujS1btiA8PBzjx4+Hq6sr5syZg+DgYPk6w4YNQ2ZmJnr16oXU1FQ0aNAAkZGRMDIykq+zZs0a9O3bF/7+/tDR0UHHjh0xb948EZtERERERERaQOh9pDQF7yPF+0gREREREQHF5D5SRERERERExRELKSIiIiIiIjWxkCIiIiIiIlITCykiIiIiIiI1sZAiIiIiIiJSEwspIiIiIiIiNbGQIiIiIiIiUhMLKSIiIiIiIjWxkCIiIiIiIlITCykiIiIiIiI1sZAiIiIiIiJSEwspIiIiIiIiNbGQIiIiIiIiUhMLKSIiIiIiIjWxkCIiIiIiIlITCykiIiIiIiI1sZAiIiIiIiJSEwspIiIiIiIiNbGQIiIiIiIiUhMLKSIiIiIiIjWxkCIiIiIiIlITCykiIiIiIiI1sZAiIiIiIiJSEwspIiIiIiIiNbGQIiIiIiIiUhMLKSIiIiIiIjWxkCIiIiIiIlITCykiIiIiIiI1sZAiIiIiIiJSEwsp0hhTp06FTCbDwIED5W2JiYn45ptv4ODgAFNTU9SoUQN//PGHyte/ePEC1apVg0wmQ2xsbNGEJiIiIiKtxEKKNEJMTAyWLFkCb29vhfauXbvi+vXr2L59Oy5evIgOHTqgU6dOOHfunNJ7DBs2DI6OjkUVmYiIiIi0GAspEi4jIwPBwcH45ZdfYG1trbDs+PHj6NevH+rUqQM3NzeMHDkSVlZWOHPmjMJ6u3btwp49ezBjxoyijE5EREREWoqFFAnXp08ftGrVCgEBAUrL6tWrh/Xr1yMlJQV5eXlYt24dsrOz0bhxY/k6SUlJ6NmzJ3777TeYmJgUYXIiIiIi0lZ6ogOQdlu3bh3Onj2LmJgYlcs3bNiAL7/8Era2ttDT04OJiQm2bNmCihUrAgAkScL//vc/fPvtt6hVqxbu3r1bhOmJiIiISFuxkCJhEhISMGDAAERFRcHIyEjlOqNGjUJqair27t2LUqVKYevWrejUqROOHDmCqlWrYv78+Xj27BnCw8OLOD0RERERaTOZJEmSui9yc3NDTEwMbG1tFdpTU1NRo0YN3L59+4MFLArp6emwtLREWloaLCwslJYHefQWkKro7LqyRMjnbt26Fe3bt4eurq68LTc3FzKZDDo6Orh+/ToqVqyIS5cuwdPTU75OQEAAKlasiMWLF6Ndu3b4888/IZPJFN5DV1cXwcHBiIiIKNJtIiIiIqLi7V21Qb736pG6e/cucnNzldpfvHiBBw8evM9bkhby9/fHxYsXFdpCQ0Ph7u6O4cOHIysrCwCgo6N4KZ+uri7y8vIAAPPmzcPEiRPlyx4+fIgWLVpg/fr1qFu37kfeAiIiIiLSVmoVUtu3b5f/e/fu3bC0tJQ/z83Nxb59++Di4vLBwlHJZm5uDi8vL4U2U1NT2NrawsvLC69evULFihXRu3dvzJgxA7a2tti6dSuioqKwY8cOAEC5cuUUXm9mZgYAqFChApycnIpmQ4iIiIhI66hVSLVr1w4AIJPJEBISorBMX18fLi4umDlz5gcLR9pNX18ff/31F0aMGIHWrVsjIyMDFStWREREBFq2bCk6HhERERFpMbUKqfzhVK6uroiJiUGpUqU+SijSXgcPHlR4XqlSJfzxxx+Ffr2Liwve47I/IiIiIiK1vNc1Unfu3PnQOYiIiIiIiIqN957+fN++fdi3bx+Sk5PlPVX5li9f/p+DERERERERaar3KqTGjRuH8ePHo1atWihTpozC1NOkPT7z/0F0hI9ux77JoiMQERERkQZ6r0Jq8eLFWLlyJb755psPnYeIiIiIiEjj6bx7FWUvX75EvXr1PnQWIiIiIiKiYuG9CqkePXpg7dq1HzoLERERERFRsfBeQ/uys7OxdOlS7N27F97e3tDX11dYPmvWrA8SjoiIiIiISBO9VyF14cIFVKtWDQBw6dIlhWWceIKIiIiIiEq69yqkDhw48KFzEBERERERFRvvdY0UERERERGRNnuvHqkmTZq8dQjf/v373zsQERERERGRpnuvQir/+qh8r169QmxsLC5duoSQkJAPkYuIiIiIiEhjvVchNXv2bJXtY8eORUZGxn8KREREREREpOk+6DVSX3/9NZYvX/4h35KIiIiIiEjjfNBCKjo6GkZGRh/yLYmIiIiIiDTOew3t69Chg8JzSZLw6NEjnD59GqNGjfogwYiIiIiIiDTVe/VIWVpaKjxsbGzQuHFj/PXXXxgzZsyHzkik1aZOnQqZTIaBAwcCAFJSUtCvXz9UrlwZxsbGKFeuHPr374+0tDT5a86fP4+vvvoKzs7OMDY2RpUqVTB37lxBW0BERERU8rxXj9SKFSs+dA4iUiEmJgZLliyBt7e3vO3hw4d4+PAhZsyYAQ8PD9y7dw/ffvstHj58iE2bNgEAzpw5Azs7O6xevRrOzs44fvw4evXqBV1dXfTt21fU5hARERGVGO9VSOU7c+YMrl69CgDw9PRE9erVP0goIgIyMjIQHByMX375BRMnTpS3e3l54Y8//pA/r1ChAiZNmoSvv/4aOTk50NPTQ7du3RTey83NDdHR0di8eTMLKSIiIqIP4L2G9iUnJ6Np06aoXbs2+vfvj/79+6NmzZrw9/fH48ePP3RGIq3Up08ftGrVCgEBAe9cNy0tDRYWFtDTK/jcSFpaGmxsbD5kRCIiIiKt9V6FVL9+/fDs2TNcvnwZKSkpSElJwaVLl5Ceno7+/ft/6IxEWmfdunU4e/YspkyZ8s51nzx5ggkTJqBXr14FrnP8+HGsX7/+resQERERUeG919C+yMhI7N27F1WqVJG3eXh4YOHChWjevPkHC0ekjRISEjBgwABERUW983YC6enpaNWqFTw8PDB27FiV61y6dAlt27bFmDFj+PtJRERE9IG8VyGVl5cHfX19pXZ9fX3k5eX951BE2uzMmTNITk5GjRo15G25ubk4fPgwFixYgBcvXkBXVxfPnj1DYGAgzM3NsWXLFpW/k1euXIG/vz969eqFkSNHFuVmEBEREZVo7zW0r2nTphgwYAAePnwob3vw4AHCwsLg7+//wcIRaSN/f39cvHgRsbGx8ketWrUQHByM2NhY6OrqIj09Hc2bN4eBgQG2b9+usufq8uXLaNKkCUJCQjBp0iQBW0JERERUcr1Xj9SCBQvQpk0buLi4wNnZGcDr4UheXl5YvXr1Bw1IpG3Mzc3h5eWl0GZqagpbW1t4eXnJi6isrCysXr0a6enpSE9PBwCULl0aurq6uHTpEpo2bYoWLVpg0KBBSExMBADo6uqidOnSRb5NRERERCXNexVSzs7OOHv2LPbu3Ytr164BAKpUqVKo2cWI6L85e/YsTp48CQCoWLGiwrI7d+7AxcUFmzZtwuPHj7F69WqFkxvly5fH3bt3izIuERERUYkkkyRJKuzK+/fvR9++fXHixAlYWFgoLEtLS0O9evWwePFiNGzY8IMH/ZjS09NhaWkpn0L634I8egtIVXR2XVnyXq/7zP+HD5xE8+zYN1l0BCIiIiIqQu+qDfKpdY3UnDlz0LNnT5VvaGlpid69e2PWrFnqpyUiIiIiIipG1Brad/78eUybNq3A5c2bN8eMGTP+cyii4q75l+NFR/io9qwfLToCERERkVBq9UglJSWpnGI5n56eHh4/fvyfQxEREREREWkytQqpsmXL4tKlSwUuv3DhAsqUKfOfQxEREREREWkytQqpli1bYtSoUcjOzlZa9vz5c4wZMwafffbZBwtHRERERESkidS6RmrkyJHYvHkzPvnkE/Tt2xeVK1cGAFy7dg0LFy5Ebm4ufvzxx48SlIiIiIiISFOo1SNlb2+P48ePw8vLC+Hh4Wjfvj3at2+PH374AV5eXjh69Cjs7e3fK8jUqVMhk8kwcOBAeVt2djb69OkDW1tbmJmZoWPHjkhKSlJ4XXx8PFq1agUTExPY2dlh6NChyMnJea8MREREREREhaH2DXnLly+Pv/76C3///Tdu3boFSZJQqVIlWFtbv3eImJgYLFmyBN7e3grtYWFh2LlzJzZu3AhLS0v07dsXHTp0wLFjxwAAubm5aNWqFRwcHHD8+HE8evQIXbt2hb6+PiZP5v1/iIiIiIjo41CrR+pN1tbWqF27NurUqfOfiqiMjAwEBwfjl19+UXiftLQ0LFu2DLNmzULTpk1Rs2ZNrFixAsePH8eJEycAAHv27MGVK1ewevVqVKtWDUFBQZgwYQIWLlyIly9fvncmIiIiIiKit3nvQupD6dOnD1q1aoWAgACF9jNnzuDVq1cK7e7u7ihXrhyio6MBANHR0ahatarCcMIWLVogPT0dly9fLvAzX7x4gfT0dIUHERERERFRYak9tO9DWrduHc6ePYuYmBilZYmJiTAwMICVlZVCu729PRITE+Xr/PuarPzn+euoMmXKFIwbN+4/piciIiIiIm0lrEcqISEBAwYMwJo1a2BkZFSknx0eHo60tDT5IyEhoUg/n4iIiIiIijdhhdSZM2eQnJyMGjVqQE9PD3p6ejh06BDmzZsHPT092Nvb4+XLl0hNTVV4XVJSEhwcHAAADg4OSrP45T/PX0cVQ0NDWFhYKDyIiIiIiIgKS1gh5e/vj4sXLyI2Nlb+qFWrFoKDg+X/1tfXx759++SvuX79OuLj4+Hr6wsA8PX1xcWLF5GcnCxfJyoqChYWFvDw8CjybSIiIiIiIu0g7Bopc3NzeHl5KbSZmprC1tZW3t69e3cMGjQINjY2sLCwQL9+/eDr64tPP/0UANC8eXN4eHjgm2++wfTp05GYmIiRI0eiT58+MDQ0LPJtIiIiIiIi7SB0sol3mT17NnR0dNCxY0e8ePECLVq0wM8//yxfrqurix07duC7776Dr68vTE1NERISgvHjxwtMTUREREREJZ1GFVIHDx5UeG5kZISFCxdi4cKFBb4m/wbBRERERERERUX4faSIiIiIiIiKGxZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVERERERKQmFlJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVExcaUKVNQu3ZtmJubw87ODu3atcP169cV1lm6dCkaN24MCwsLyGQypKamKr3PjRs30LZtW5QqVQoWFhZo0KABDhw4UERbQURERCUBCykiKjYOHTqEPn364MSJE4iKisKrV6/QvHlzZGZmytfJyspCYGAgfvjhhwLf57PPPkNOTg7279+PM2fOwMfHB5999hkSExOLYjOIiIioBNATHYCIqLAiIyMVnq9cuRJ2dnY4c+YM/Pz8AAADBw4EABw8eFDlezx58gQ3b97EsmXL4O3tDQCYOnUqfv75Z1y6dAkODg4fLT8RERGVHOyRIqJiKy0tDQBgY2NT6NfY2tqicuXKWLVqFTIzM5GTk4MlS5bAzs4ONWvW/FhRiYiIqIRhjxQRFUt5eXkYOHAg6tevDy8vr0K/TiaTYe/evWjXrh3Mzc2ho6MDOzs7REZGwtra+iMmJiIiopKEPVJEVCz16dMHly5dwrp169R6nSRJ6NOnD+zs7HDkyBGcOnUK7dq1Q+vWrfHo0aOPlJaIiIhKGhZSRFTs9O3bFzt27MCBAwfg5OSk1mv379+PHTt2YN26dahfvz5q1KiBn3/+GcbGxoiIiPhIiYmIiKik4dA+Iio2JElCv379sGXLFhw8eBCurq5qv0dWVhYAQEdH8TySjo4O8vLyPkhOIiIiKvnYI0VExUafPn2wevVqrF27Fubm5khMTERiYiKeP38uXycxMRGxsbG4desWAODixYuIjY1FSkoKAMDX1xfW1tYICQnB+fPncePGDQwdOhR37txBq1athGzXh3D48GG0bt0ajo6OkMlk2Lp1q8LypKQk/O9//4OjoyNMTEwQGBiImzdvKqwTFxeH9u3bo3Tp0rCwsECnTp2QlJRUhFtBRERUfLCQIqJiY9GiRUhLS0Pjxo1RpkwZ+WP9+vXydRYvXozq1aujZ8+eAAA/Pz9Ur14d27dvBwCUKlUKkZGRyMjIQNOmTVGrVi0cPXoU27Ztg4+Pj5Dt+hAyMzPh4+ODhQsXKi2TJAnt2rXD7du3sW3bNpw7dw7ly5dHQECA/B5cmZmZaN68OWQyGfbv349jx47h5cuXaN26NXvqiIiIVODQPiIqNiRJeuc6Y8eOxdixY9+6Tq1atbB79+4PlEozBAUFISgoSOWymzdv4sSJE7h06RI8PT0BvC5KHRwc8Pvvv6NHjx44duwY7t69i3PnzsHCwgIAEBERAWtra+zfvx8BAQFFti1ERETFAXukiIhKuBcvXgAAjIyM5G06OjowNDTE0aNH5evIZDIYGhrK1zEyMoKOjo58HSIiIvoHe6SIqMg07D1BdISP6siSUaIjqOTu7o5y5cohPDwcS5YsgampKWbPno379+/Lp3z/9NNPYWpqiuHDh2Py5MmQJAkjRoxAbm4up4UnIiJSgT1SREQlnL6+PjZv3owbN27AxsYGJiYmOHDgAIKCguSzF5YuXRobN27En3/+CTMzM1haWiI1NRU1atRQmuGwOHnXJBwZGRno27cvnJycYGxsDA8PDyxevFhhncaNG0Mmkyk8vv322yLcCiIi0kTskSIi0gI1a9ZEbGws0tLS8PLlS5QuXRp169ZFrVq15Os0b94ccXFxePLkCfT09GBlZQUHBwe4ubkJTP7f5E/C0a1bN3To0EFp+aBBg7B//36sXr0aLi4u2LNnD77//ns4OjqiTZs28vV69uyJ8ePHy5+bmJgUSX4iItJcLKSIiLSIpaUlgNcTUJw+fRoTJigPtyxVqhSA1zcvTk5OVigoipu3TcIBAMePH0dISAgaN24MAOjVqxeWLFmCU6dOKWy3iYkJHBwcPnZcIiIqRoSO15gyZQpq164Nc3Nz2NnZoV27drh+/brCOtnZ2ejTpw9sbW1hZmaGjh07Kt3XJD4+Hq1atYKJiQns7OwwdOhQ5OTkFOWmEBEJlZGRgdjYWMTGxgIA7ty5g9jYWMTHxwMANm7ciIMHD8qnQG/WrBnatWuH5s2by99jxYoVOHHiBOLi4rB69Wp88cUXCAsLQ+XKlUVsUpGoV68etm/fjgcPHkCSJBw4cAA3btxQ2C8AsGbNGpQqVQpeXl4IDw+X39iZiIi0l9AeqUOHDqFPnz6oXbs2cnJy8MMPP6B58+a4cuUKTE1NAQBhYWHYuXMnNm7cCEtLS/Tt2xcdOnTAsWPHAAC5ublo1aoVHBwccPz4cTx69Ahdu3aFvr4+Jk+eLHLziIiKzOnTp9GkSRP580GDBgEAQkJCsHLlSjx69AiDBg1CUlISypQpg65du2LUKMXJMa5fv47w8HCkpKTAxcUFP/74I8LCwop0O4ra/Pnz0atXLzg5OUFPTw86Ojr45Zdf4OfnJ1+nS5cuKF++PBwdHXHhwgUMHz4c169fx+bNmwUmJyIi0YQWUpGRkQrPV65cCTs7O5w5cwZ+fn5IS0vDsmXLsHbtWjRt2hTA6zOmVapUwYkTJ/Dpp59iz549uHLlCvbu3Qt7e3tUq1YNEyZMwPDhwzF27FgYGBgofe6LFy/k0wEDQHp6+sfdUCKij6xx48Zvvc9W//790b9//7e+x9SpUzF16tQPHU2jzZ8/HydOnMD27dtRvnx5HD58GH369IGjo6P83lm9evWSr1+1alWUKVMG/v7+iIuLQ4UKFURFJyIiwTRqKqa0tDQAgI2NDQDgzJkzePXqlcKNIPOn8Y2OjgYAREdHo2rVqrC3t5ev06JFC6Snp+Py5csqP2fKlCmwtLSUP5ydnT/WJhERkYZ6/vw5fvjhB8yaNQutW7eGt7c3+vbtiy+//BIzZswo8HV169YFANy6dauoohIRkQbSmMkm8vLyMHDgQNSvXx9eXl4AgMTERBgYGMDKykphXXt7eyQmJsrXebOIyl+ev0yV8PBw+bAX4HWPFIspIhKpztCSfY+tUz9p3j22Xr16hVevXilN766rq4u8vLwCX5d/HVqZMmU+ZjwiItJwGtMj1adPH1y6dAnr1q376J9laGgICwsLhQcREZU8b5uEw8LCAo0aNcLQoUNx8OBB3LlzBytXrsSqVavQvn17AEBcXBwmTJiAM2fO4O7du9i+fTu6du0KPz8/eHt7C9yy/+5d99gCgKtXr6JNmzawtLSEqakpateuLZ/AJF90dDSaNm0KU1NTWFhYwM/PD8+fPy+irSAiEkcjCqm+fftix44dOHDgAJycnOTtDg4OePnyJVJTUxXWT0pKkk9D6+DgoDSLX/5zTlVLRKTdTp8+jerVq6N69eoAXk/CUb16dYwePRoAsG7dOtSuXRvBwcHw8PDA1KlTMWnSJPkNdw0MDLB37140b94c7u7uGDx4MDp27Ig///xT2DZ9KPn32Fq4cKHK5XFxcWjQoAHc3d1x8OBBXLhwAaNGjYKRkZF8nejoaAQGBqJ58+Y4deoUYmJi0Ldv32J9E2ciosISOrRPkiT069cPW7ZswcGDB+Hq6qqwvGbNmtDX18e+ffvQsWNHAK9nlYqPj4evry8AwNfXF5MmTUJycjLs7OwAAFFRUbCwsICHh0fRbhAREWmUd03C4eDggBUrVhS43NnZGYcOHfoY0YR71z22fvzxR7Rs2RLTp0+Xt/17co2wsDD0798fI0aMkLeV5OnyiYjeJPSUUZ8+fbB69WqsXbsW5ubmSExMRGJionxIgKWlJbp3745BgwbhwIEDOHPmDEJDQ+Hr64tPP/0UANC8eXN4eHjgm2++wfnz57F7926MHDkSffr0gaGhocjNIyIiKpby8vKwc+dOfPLJJ2jRogXs7OxQt25dheF/ycnJOHnyJOzs7FCvXj3Y29ujUaNGOHr0qLjgRERFSGghtWjRIqSlpaFx48YoU6aM/LF+/Xr5OrNnz8Znn32Gjh07ws/PDw4ODgr37tDV1cWOHTugq6sLX19ffP311+jatSvGjx8vYpOIiIiKveTkZGRkZGDq1KkIDAzEnj170L59e3To0EHeQ3f79m0AwNixY9GzZ09ERkaiRo0a8Pf3x82bN0XGJyIqEsKH9r2LkZERFi5cWOAYbgAoX748/vrrrw8ZjYiINEC1iWNFR/ioYkeOFR1BpfxZC9u2bSu/KXO1atVw/PhxLF68GI0aNZKv07t3b4SGhgIAqlevjn379mH58uWYMmWKmPBEREWEV4MSERGRglKlSkFPT0/pWuMqVarIZ+3Ln/79besQEZVkLKSIiIhIgYGBAWrXro3r168rtN+4cQPly5cHALi4uMDR0fGt6xARlWQac0NeIiIiKjoZGRm4deuW/Hn+PbZsbGxQrlw5DB06FF9++SX8/PzQpEkTREZG4s8//8TBgwcBADKZDEOHDsWYMWPg4+ODatWqISIiAteuXcOmTZsEbRURUdFhIUVERKSFTp8+jSZNmsifDxo0CAAQEhKClStXon379li8eDGmTJmC/v37o3Llyvjjjz/QoEED+WsGDhyI7OxshIWFISUlBT4+PoiKilKaJp2IqCRiIUVERKSF3nWPLQDo1q0bunXr9tZ1RowYoXAfKSIibcFrpIiIiIiIiNTEQoqIiIiIiEhNHNpHRERUzNRYOFp0hI/ubJ/xoiMQEb0Ve6SIiIiIiIjUxEKKiIiIiIhITSykiIiIiIiI1MRCioiIiIiISE0spIiIiIj+3+HDh9G6dWs4OjpCJpNh69at8mWvXr3C8OHDUbVqVZiamsLR0RFdu3bFw4cPVb7XixcvUK1aNchkMsTGxhbNBhBRkWEhRURERPT/MjMz4ePjg4ULFyoty8rKwtmzZzFq1CicPXsWmzdvxvXr19GmTRuV7zVs2DA4Ojp+7MhEJAinPyciIiL6f0FBQQgKClK5zNLSElFRUQptCxYsQJ06dRAfH49y5crJ23ft2oU9e/bgjz/+wK5duz5qZiISg4UUERER0XtKS0uDTCaDlZWVvC0pKQk9e/bE1q1bYWJiIi4cEX1UHNpHRERE9B6ys7MxfPhwfPXVV7CwsAAASJKE//3vf/j2229Rq1YtwQmJ6GNiIUVERESkplevXqFTp06QJAmLFi2St8+fPx/Pnj1DeHi4wHREVBRYSBERERGpIb+IunfvHqKiouS9UQCwf/9+REdHw9DQEHp6eqhYsSIAoFatWggJCREVmYg+Al4jRURERFRI+UXUzZs3ceDAAdja2iosnzdvHiZOnCh//vDhQ7Ro0QLr169H3bp1izouEX1ELKSIiIiI/l9GRgZu3bolf37nzh3ExsbCxsYGZcqUweeff46zZ89ix44dyM3NRWJiIgDAxsYGBgYGCjP3AYCZmRkAoEKFCnByciq6DSGij46FFBEREdH/O336NJo0aSJ/PmjQIABASEgIxo4di+3btwMAqlWrpvC6AwcOoHHjxkUVk4g0AAspIiIiov/XuHFjSJJU4PK3LVPFxcVF7dcQUfHAySaIiIiIiIjUxB4pIiIiKjGaryvZ047v6TxFdAQi+n/skSIiIiIiIlITCykiIiIiIiI1sZAiIiIiIiJSEwspIiIiIiIiNbGQIiIiIiIiUhMLKSIiIiIiIjWxkCIiIiIiIlITCykiIiIiIiI1sZAiIiIiIiJSEwspIiIiIiIiNbGQIiIiIiIiUhMLKSIiIiIiIjWxkCIiIiIiIlITCykiIiIiIiI1sZAiIiIiIiJSEwspIiIiIiIiNbGQIiIiIiIiUhMLKSIiIiIiIjWxkCIiIiIiIlITCykiIiIiIiI1sZAiIiIiov9k6tSpkMlkGDhwoEJ7dHQ0mjZtClNTU1hYWMDPzw/Pnz8XE5LoA9MTHYCIiIiIiq+YmBgsWbIE3t7eCu3R0dEIDAxEeHg45s+fDz09PZw/fx46OjyPTyUDCykiIiIiei8ZGRkIDg7GL7/8gokTJyosCwsLQ//+/TFixAh5W+XKlYs6ItFHw1MCRERERPRe+vTpg1atWiEgIEChPTk5GSdPnoSdnR3q1asHe3t7NGrUCEePHhWUlOjDYyFFRERERGpbt24dzp49iylTpigtu337NgBg7Nix6NmzJyIjI1GjRg34+/vj5s2bRR2V6KNgIUVEREREaklISMCAAQOwZs0aGBkZKS3Py8sDAPTu3RuhoaGoXr06Zs+ejcqVK2P58uVFHZfoo2AhRURERERqOXPmDJKTk1GjRg3o6elBT08Phw4dwrx586Cnpwd7e3sAgIeHh8LrqlSpgvj4eBGRiT44TjZBRERERGrx9/fHxYsXFdpCQ0Ph7u6O4cOHw83NDY6Ojrh+/brCOjdu3EBQUFBRRiX6aFhIEREREZFazM3N4eXlpdBmamoKW1tbefvQoUMxZswY+Pj4oFq1aoiIiMC1a9ewadMmEZGJPjgWUkRERET0wQ0cOBDZ2dkICwtDSkoKfHx8EBUVhQoVKoiORvRBsJAiIiIiov/s4MGDSm0jRoxQuI8UUUnCySaIiIiIiIjUxB4pIiIiohKu374BoiN8dPP954qOQFqGPVJERERERERqYiFFRERERESkJhZSREREREREamIhRUREREREpCYWUkRERERERGpiIUVEREREVESmTp0KmUyGgQMHio4i3KJFi+Dt7Q0LCwtYWFjA19cXu3btEh2r0FhIEREREREVgZiYGCxZsgTe3t6io2gEJycnTJ06FWfOnMHp06fRtGlTtG3bFpcvXxYdrVBYSBERERERfWQZGRkIDg7GL7/8Amtra9FxNELr1q3RsmVLVKpUCZ988gkmTZoEMzMznDhxQnS0QmEhRURERET0kfXp0wetWrVCQECA6CgaKTc3F+vWrUNmZiZ8fX1FxykUPdEBiIiIiIhKsnXr1uHs2bOIiYkRHUXjXLx4Eb6+vsjOzoaZmRm2bNkCDw8P0bEKhYUUEREREdFHkpCQgAEDBiAqKgpGRkai42icypUrIzY2Fmlpadi0aRNCQkJw6NChYlFMsZAiIiIiIvpIzpw5g+TkZNSoUUPelpubi8OHD2PBggV48eIFdHV1BSYUy8DAABUrVgQA1KxZEzExMZg7dy6WLFkiONm7sZAiIiIiIvpI/P39cfHiRYW20NBQuLu7Y/jw4VpdRKmSl5eHFy9eiI5RKCykiIiIiIg+EnNzc3h5eSm0mZqawtbWVqld24SHhyMoKAjlypXDs2fPsHbtWhw8eBC7d+8WHa1QWEgREREREVGRS05ORteuXfHo0SNYWlrC29sbu3fvRrNmzURHK5QSU0gtXLgQP/30ExITE+Hj44P58+ejTp06omMRERERESk4ePCg6AgaYdmyZaIj/Ccl4j5S69evx6BBgzBmzBicPXsWPj4+aNGiBZKTk0VHIyIiIiKiEqhE9EjNmjULPXv2RGhoKABg8eLF2LlzJ5YvX44RI0YITkdEREREmmrOsS9FR/ioBtZf/16v23WyeNwU978Iqhv9n15f7Auply9f4syZMwgPD5e36ejoICAgANHRqnfOixcvFGYDSUtLAwCkp6erXD8n9+UHTKx5Ctrud3mVUzxmVPkv3nff5LzK/sBJNMt775eX3C8FyX3BfaNKbnbJPs689355XrL3C/AfjjNZJXvfvO9+eZlZsvcL8P77Jjvz1QdOolned79kZeZ84CSap6B9k98uSdJbXy+T3rWGhnv48CHKli2L48ePw9f3n8p52LBhOHToEE6ePKn0mrFjx2LcuHFFGZOIiIiIiIqRhIQEODk5Fbi82PdIvY/w8HAMGjRI/jwvLw8pKSmwtbWFTCYTmOx1Bezs7IyEhARYWFgIzaJJuF8Kxn2jGvdLwbhvVON+KRj3jWrcLwXjvlGN+0U1TdsvkiTh2bNncHR0fOt6xb6QKlWqFHR1dZGUlKTQnpSUBAcHB5WvMTQ0hKGhoUKblZXVx4r4XiwsLDTiB0nTcL8UjPtGNe6XgnHfqMb9UjDuG9W4XwrGfaMa94tqmrRfLC0t37lOsZ+1z8DAADVr1sS+ffvkbXl5edi3b5/CUD8iIiIiIqIPpdj3SAHAoEGDEBISglq1aqFOnTqYM2cOMjMz5bP4ERERERERfUglopD68ssv8fjxY4wePRqJiYmoVq0aIiMjYW9vLzqa2gwNDTFmzBiloYfajvulYNw3qnG/FIz7RjXul4Jx36jG/VIw7hvVuF9UK677pdjP2kdERERERFTUiv01UkREREREREWNhRQREREREZGaWEgRERERERGpiYUUERERERGRmlhIERERERERqYmFFBGVKHFxcRg5ciS++uorJCcnAwB27dqFy5cvC05GREREJQkLKaJiKjU1Fb/++ivCw8ORkpICADh79iwePHggOJk4hw4dQtWqVXHy5Els3rwZGRkZAIDz589jzJgxgtNpjuzsbNERqJjgcaZgt27dwu7du/H8+XMAAO8mo4jHGSqM3377DfXr14ejoyPu3bsHAJgzZw62bdsmOFnhlIgb8hZ3gwYNUtkuk8lgZGSEihUrom3btrCxsSniZOJt375dZfub+8bV1bWIU4l34cIFBAQEwNLSEnfv3kXPnj1hY2ODzZs3Iz4+HqtWrRIdUYgRI0Zg4sSJGDRoEMzNzeXtTZs2xYIFCwQmEy8vLw+TJk3C4sWLkZSUhBs3bsDNzQ2jRo2Ci4sLunfvLjqiMEeOHMGSJUsQFxeHTZs2oWzZsvjtt9/g6uqKBg0aiI4nDI8zqj19+hRffvkl9u/fD5lMhps3b8LNzQ3du3eHtbU1Zs6cKTqiMDzOFIzHGWWLFi3C6NGjMXDgQEyaNAm5ubkAACsrK8yZMwdt27YVnLAQJBKucePGkoWFhWRqairVqFFDqlGjhmRmZiZZWlpKdevWlaysrCRra2vp8uXLoqMWOZlMJuno6EgymUzhkd+mo6Mj+fn5SSkpKaKjFil/f39p6NChkiRJkpmZmRQXFydJkiQdO3ZMKl++vMBkYpmamkq3b9+WJElxv9y5c0cyNDQUGU24cePGSW5ubtLq1aslY2Nj+b5Zt26d9OmnnwpOJ86mTZskY2NjqUePHpKhoaF8v8yfP18KCgoSnE4sHmdU++abb6QWLVpICQkJCvslMjJS8vDwEJxOLB5nVONxRrUqVapIW7ZskSRJ8Rhz8eJFydbWVmCywuPQPg3Qtm1bBAQE4OHDhzhz5gzOnDmD+/fvo1mzZvjqq6/w4MED+Pn5ISwsTHTUIhcVFYXatWsjKioKaWlpSEtLQ1RUFOrWrYsdO3bg8OHDePr0KYYMGSI6apGKiYlB7969ldrLli2LxMREAYk0g5WVFR49eqTUfu7cOZQtW1ZAIs2xatUqLF26FMHBwdDV1ZW3+/j44Nq1awKTiTVx4kQsXrwYv/zyC/T19eXt9evXx9mzZwUmE4/HGdX27NmDadOmwcnJSaG9UqVK8qFJ2orHGdV4nFHtzp07qF69ulK7oaEhMjMzBSRSH4f2aYCffvoJUVFRsLCwkLdZWlpi7NixaN68OQYMGIDRo0ejefPmAlOKMWDAACxduhT16tWTt/n7+8PIyAi9evXC5cuXMWfOHHTr1k1gyqJnaGiI9PR0pfYbN26gdOnSAhJphs6dO2P48OHYuHEjZDIZ8vLycOzYMQwZMgRdu3YVHU+oBw8eoGLFikrteXl5ePXqlYBEmuH69evw8/NTare0tERqamrRB9IgPM6olpmZCRMTE6X2lJQUGBoaCkikOXicUY3HGdVcXV0RGxuL8uXLK7RHRkaiSpUqglKphz1SGiAtLU0+u9ibHj9+LP8jZmVlhZcvXxZ1NOHi4uIUCsx8FhYWuH37NoDXZwGfPHlS1NGEatOmDcaPHy//wySTyRAfH4/hw4ejY8eOgtOJM3nyZLi7u8PZ2RkZGRnw8PCAn58f6tWrh5EjR4qOJ5SHhweOHDmi1L5p0yaVZwS1hYODA27duqXUfvToUbi5uQlIpDl4nFGtYcOGCteH5Z+0mT59Opo0aSIwmXg8zqjG44xqgwYNQp8+fbB+/XpIkoRTp05h0qRJCA8Px7Bhw0THKxzRYwtJkrp06SK5urpKmzdvlhISEqSEhARp8+bNkpubm/T1119LkiRJv//+u1SzZk3BSYte/fr1pcDAQCk5OVnelpycLAUGBkoNGzaUJEmSoqKipE8++URURCFSU1OlgIAAycrKStLV1ZWcnZ0lfX19yc/PT8rIyBAdT7h79+5JO3fulNavXy/duHFDdByNsHXrVsnS0lKaOnWqZGJiIv30009Sjx49JAMDA2nPnj2i4wkzefJkycPDQzpx4oRkbm4uHTlyRFq9erVUunRpad68eaLjCcXjjGoXL16U7OzspMDAQMnAwED6/PPPpSpVqkj29vbSrVu3RMcTiscZ1XicKdjq1aulihUryq+BL1u2rPTrr7+KjlVoMknifJ2iZWRkICwsDKtWrUJOTg4AQE9PDyEhIZg9ezZMTU0RGxsLAKhWrZq4oAJcv34dbdu2xZ07d+Ds7AwASEhIgJubG7Zt24ZPPvkEW7duxbNnz/DNN98ITlv0jh49igsXLiAjIwM1atRAQECA6EikwY4cOYLx48fj/Pnz8p8ZbR02nE+SJEyePBlTpkxBVlYWgNdD2oYMGYIJEyYITqcZeJxRlpaWhgULFij8LvXp0wdlypQRHU04HmeU8TjzbllZWcjIyICdnZ3oKGphIaVBMjIy5MPV3NzcYGZmJjiRZsjLy8OePXtw48YNAEDlypXRrFkz6OhwZCopys3NxcqVK7Fv3z4kJycjLy9PYfn+/fsFJSNN9/LlS9y6dUs+JJTHXyL60HicKXlYSBEVUzExMThw4IDKgmHWrFmCUonVt29frFy5Eq1atUKZMmUgk8kUls+ePVtQMqLiad++fQWemFi+fLmgVEXvwoULhV7X29v7IyYhKjmSkpIwZMgQ+THm3yVJ/n2lNBln7dMAmZmZmDp1aoF/rPJ7qbRVZmYmDh06hPj4eKUJN/r37y8olViTJ0/GyJEjUblyZdjb2ysUDP8uHrTJunXrsGHDBrRs2VJ0FI1gbW1d6J+HlJSUj5xGM/H4W7Bx48Zh/PjxqFWrlsoTE9qkWrVqkMlkkCRJYT/kf/F7s604fPn7kHicebfs7GzMnz+/wJOf2joF+v/+9z/Ex8dj1KhRxfYYw0JKA/To0QOHDh3CN998U2x/kD6Wc+fOoWXLlsjKykJmZiZsbGzw5MkTmJiYwM7OTmsLqblz52L58uX43//+JzqKRjEwMFA59a62mjNnjvzfT58+xcSJE9GiRQv4+voCAKKjo7F7926MGjVKUELxePwt2OLFi7Fy5UqtvP703+7cuSP/97lz5zBkyBAMHTpU4Xdp5syZmD59uqiIwvA4827du3fHnj178Pnnn6NOnTo8zvy/o0eP4siRI8X7+n9Bk1zQGywtLaWjR4+KjqGRGjVqJPXs2VPKzc2V3/U6Pj5e8vPzk/744w/R8YRxcHDgbHQqzJgxQ/r++++lvLw80VE0TocOHaT58+crtc+fP19q27Zt0QfSEDz+FszGxkbrZ6FTpXbt2tLOnTuV2nfu3CnVqFFDQCLNweOMahYWFjzOqFClShXp7NmzomP8J7xaXwNYW1vDxsZGdAyNFBsbi8GDB0NHRwe6urp48eIFnJ2dMX36dPzwww+i4wkTFhaGhQsXio6hcY4ePYo1a9agQoUKaN26NTp06KDw0Ga7d+9GYGCgUntgYCD27t0rIJFm4PG3YD169MDatWtFx9A4Fy9ehKurq1K7q6srrly5IiCR5uBxRrWyZcvC3NxcdAyNM2fOHIwYMQJ3794VHeW9cWifBpgwYQJGjx6NiIgIlXdL12b6+vry2fns7OwQHx+PKlWqwNLSEgkJCYLTiTNkyBC0atUKFSpUgIeHB/T19RWWb968WVAysaysrNC+fXvRMTSSra0ttm3bhsGDByu0b9u2Dba2toJSicfjb8Gys7OxdOlS7N27F97e3krHGW2d1KZKlSqYMmUKfv31VxgYGAB4PRvblClTUKVKFcHpxOJxRrWZM2di+PDhWLx4McqXLy86jsb48ssvkZWVhQoVKsDExETpGFMcrqljIaUBZs6cibi4ONjb28PFxUXpB0lbL0IEgOrVqyMmJgaVKlVCo0aNMHr0aDx58gS//fYbvLy8RMcTpn///jhw4ACaNGkCW1tbjrf+fytWrBAdQWONGzcOPXr0wMGDB1G3bl0AwMmTJxEZGYlffvlFcDpxePwt2IULF+TXLly6dElhmTYfcxYvXozWrVvDyclJPkPfhQsXIJPJ8OeffwpOJxaPM6rVqlUL2dnZcHNzK7YFw8fw5vV1xRWnP9cA48aNe+vyMWPGFFESzXP69Gk8e/YMTZo0QXJyMrp27Yrjx4+jUqVKWL58OXx8fERHFMLc3Bzr1q1Dq1atREehYuTkyZOYN28erl69CuD1mfX+/fvLv/BoIx5/6X1kZmZizZo1uHbtGoDXv0tdunSBqamp4GTi8TijLCAgAPHx8ejevbvSTLsAEBISIigZ/VcspEhjSZKEhIQE2NnZwcjISHQcjVK+fHns3r0b7u7uoqMIV6NGDezbtw/W1taoXr36W8+Ua3PvAhERiWFiYoLo6GitPfn7pvT0dFhYWMj//Tb562kyDu0jjSVJEipWrIjLly+jUqVKouNolLFjx2LMmDFYsWKF1l/X0bZtWxgaGgIA2rVrJzaMBouPj3/r8nLlyhVREtJkHTp0wMqVK2FhYfHOCVq09VrMVatWvXV5165diyiJ5uFxRjV3d3c8f/5cdAyNYG1tjUePHsHOzg5WVlYqT35K/3+/tuJwTzb2SAliY2ODGzduoFSpUu+8mZ22jp0FAE9PTyxbtgyffvqp6CgapXr16oiLi4MkSbyugwpFR0fnrceZ4vAH60Ph8bdgoaGhmDdvHszNzREaGvrWdbX1mkRra2uF569evUJWVhYMDAxgYmKidT8zb+JxRrU9e/Zg3LhxmDRpEqpWrar0N7s49Lx8KIcOHUL9+vWhp6eHQ4cOvXXdRo0aFVGq98ceKUFmz54tnwqzJFxs97FMnToVQ4cOxaJFi7R6col/Y88LqevcuXMKz1+9eoVz585h1qxZmDRpkqBUYvD4W7A3iyNtLZTe5e+//1Zqu3nzJr777jsMHTpUQCLNweOMavlTwvv7+yu0F6eelw/lzeKoOBRK78IeKdJo1tbWyMrKQk5ODgwMDGBsbKywXJvP/NFr7+pReBN/XpTt3LkTP/30Ew4ePCg6ClGxdvr0aXz99dfyCSjoH9p+nCkJPS8fyoULFwq9bv6smJqMPVIaIi8vD7du3UJycjLy8vIUlvn5+QlKJR7PFquWkJAAmUwGJycnAMCpU6ewdu1aeHh4oFevXoLTFS3+jPw3lStXRkxMjOgYRepdFzi/SZuG3AB454Qtb+IQYkV6enp4+PCh6BgaSRuPM2/SpkLpXapVqwaZTIZ39eMUl546FlIa4MSJE+jSpQvu3bun9INVXH6QPhZOCapaly5d0KtXL3zzzTdITExEQEAAvLy8sGbNGiQmJmL06NGiIxYZ/owUzr+LB0mS8OjRI4wdO1brJnMp6ALnN2njkBuAw4YLY/v27QrP83+XFixYgPr16wtKpRl4nFEtMjISZmZmaNCgAQBg4cKF+OWXX+Dh4YGFCxcqXXdXkt25c0d0hA+KQ/s0QLVq1fDJJ59g3LhxKFOmjNIfeEtLS0HJNEurVq3w66+/okyZMqKjCGdtbY0TJ06gcuXKmDdvHtavX49jx45hz549+Pbbb3H79m3REYVh765qqi4ClyQJzs7OWLduHXx9fQUlK3rvGmbzJp5Jpn/T0dFReC6TyVC6dGk0bdoUM2fO1Oq/UTzOqFa1alVMmzYNLVu2xMWLF1GrVi0MHjwYBw4cgLu7u1Zdj/jmLUvGjx+PIUOGFOvZh1lIaQBTU1OcP38eFStWFB1Fo5mbm+P8+fNwc3MTHUU4MzMzXLp0CS4uLmjTpg3q16+P4cOHIz4+HpUrV9baaVbZu1uwfxcPOjo6KF26NCpWrAg9Pe0anPDmFN+rVq3Cl19+KZ9Cn5S9fPlS5YkJbZ3KmgrG44xqb/7NHjt2LC5duoRNmzbh7NmzaNmyJRITE0VHLDLGxsa4efMmnJycoKurK58KvbjS3p9qDVK3bl3cunWLhRQVmqenJxYvXoxWrVohKioKEyZMAAA8fPgQtra2gtOJ8+2336JWrVrYuXOnyt5dbcaelX/s2LEDmZmZsLCwQGhoKAIDA4v1H/KP5caNG+jevTuOHz+u0K6twx7p3XicUc3AwABZWVkAgL1798rvNWZjY6PWNZslQbVq1RAaGooGDRpAkiTMmDEDZmZmKtctDpcpsJDSAP369cPgwYORmJio8v4CxWHWkqJQvnx5pX2jraZNm4b27dvjp59+QkhIiPxu6du3b0edOnUEpxPn5s2b2LRpE09KvMWVK1cQHx+Ply9fKrS3adNGUKKi5+7ujvDwcDRp0gSSJGHDhg0FTiqhzTdXDQ0NhZ6eHnbs2METE/9y//59bN++XeXv0qxZswSl0hw8zihq0KABBg0ahPr16+PUqVNYv349gNcnK/InjdIWK1euxJgxY7Bjxw7IZDLs2rVLZW+lTCYrFoUUh/ZpgH+PtwYgn9FE28/6xcfHw9nZWeWY64SEBK0eWpKbm4v09HSFi1Tv3r0LExMTrT273rRpUwwbNkx+zw76x+3bt9G+fXtcvHhRYcak/N8tbTrOHDt2DIMHD0ZcXBxSUlJgbm6uskiQyWRaPWW+qakpzpw5A3d3d9FRNMq+ffvQpk0buLm54dq1a/Dy8sLdu3chSRJq1KiB/fv3i44oDI8zqsXHx+P7779HQkIC+vfvj+7duwMAwsLCkJubi3nz5glOKIaOjg4SExOL9XcWFlIa4N69e29dXr58+SJKonkKGj/79OlT2NnZae1B+U1Tp07Ft99+CysrK9FRhNuyZQtGjhyJoUOHsnf3X1q3bg1dXV38+uuvcHV1xalTp/D06VMMHjwYM2bMQMOGDUVHFKIk/CH/WGrXro3Zs2fLZxqj1+rUqYOgoCCMGzdOfu2unZ0dgoODERgYiO+++050RGF4nKF3eXOyiXHjxmHo0KHFerIJSEQaTCaTScnJyUrtd+/elUxMTAQk0jzm5uZSXFyc6BgaQSaTKT10dHTk/9Vmtra20vnz5yVJkiQLCwvp2rVrkiRJ0r59+6Rq1aqJjFbk2rdvL6WlpUmSJEkrV66UsrKyBCfSTPv27ZN8fX2lAwcOSE+ePJHS0tIUHtrKzMxMunXrliRJkmRlZSVdunRJkiRJio2NlcqXLy8wmXg8zrxby5YtpYcPH4qOIYyRkZGUkJAgSZIk6ejoSElJSYIT/Te8RkpDxMXFYc6cObh69SoAwMPDAwMGDECFChUEJxNj0KBBAF4PBxg1apTC2Yrc3FycPHkS1apVE5ROs0jsVJYrafen+JByc3Nhbm4OAChVqhQePnyIypUro3z58rh+/brgdEXrzckmunXrhqCgIBgbG4uOpXECAgIAAP7+/grtkpYPOzc1NZVf+1OmTBnExcXB09MTAPDkyROR0YTjcebdDh8+rLUz6wKcbII+gt27d6NNmzaoVq2a/GZ+x44dg6enJ/788080a9ZMcMKid+7cOQCv/2BfvHgRBgYG8mUGBgbw8fHBkCFDRMUjDaXNw2DfxcvLC+fPn4erqyvq1q2L6dOnw8DAAEuXLtW6WwpwsonCOXDggOgIGunTTz/F0aNHUaVKFbRs2RKDBw/GxYsXsXnzZnz66aei4wnF4wy9CyeboA+uevXqaNGiBaZOnarQPmLECOzZswdnz54VlEy80NBQzJ07t8AvOQQkJCSgbNmyKict0Ubs3VVt9+7dyMzMRIcOHXDr1i189tlnuHHjBmxtbbF+/Xo0bdpUdMQic/z4cQwaNIiTTdB7uX37NjIyMuDt7Y3MzEwMHjwYx48fR6VKlTBr1iytPqHD48y7eXl5YdeuXXB2dhYdRbiScI0qCykNYGRkhIsXL6JSpUoK7Tdu3IC3tzeys7MFJdM86enp2L9/P9zd3bV+JqnU1FRs2rQJcXFxGDp0KGxsbHD27FnY29ujbNmyouMJUVDv7vnz57W2d/dtUlJSYG1trdXTWpeEP+QfU2pqKpYtWyY/MeHp6Ylu3brB0tJScDIqLnicoZKMhZQGcHZ2xqxZs/DFF18otG/YsAFDhgxBfHy8oGTiderUCX5+fujbty+eP38OHx8f+TSz69atQ8eOHUVHFOLChQsICAiApaUl7t69i+vXr8PNzQ0jR45EfHw8Vq1aJTqiEOzdJXXdu3cP5cqV45c8FU6fPo0WLVrA2NhYfn+6mJgYPH/+HHv27EGNGjUEJyQqPo4cOYIlS5bg9u3b2LhxI8qWLYvffvsNrq6uWj0zZnEfRcJrpDRAz5490atXL9y+fRv16tUD8Pos+rRp0+STLmirw4cP48cffwTwemprSZKQmpqKiIgITJw4UWsLqUGDBuF///sfpk+fLr+wFwBatmyJLl26CEwm1tWrV7Fhwwal9m7dumHOnDlFH0iwDh06FHrdzZs3f8Qkmqt8+fJKvS4eHh7o3r271ve6hIWFoU2bNvjll1/k1zDk5OSgR48eGDhwIA4fPiw4YdFRp0dF24aD8jjzbn/88Qe++eYbBAcH4+zZs3jx4gUAIC0tDZMnT8Zff/0lOKEYJWGOABZSGmDUqFEwNzfHzJkzER4eDgBwdHTE2LFj0b9/f8HpxEpLS4ONjQ0AIDIyEh07doSJiQlatWqFoUOHCk4nTkxMDJYsWaLUXrZsWSQmJgpIpBlKly6N2NhYpWGysbGxWjl0S9sLgcJQ1esye/ZsTJ48Wet7XU6fPq1QRAGAnp4ehg0bhlq1aglMVvS08URMYfE4824TJ07E4sWL0bVrV6xbt07eXr9+fUycOFFgMrFGjBiBsLAwlaNIhg8fzkKKCkcmkyEsLAxhYWF49uwZACj0MmgzZ2dnREdHw8bGBpGRkfID0N9//w0jIyPB6cQxNDREenq6UvuNGzdQunRpAYk0A3t3Fa1YsUJ0BI3HXpeCWVhYID4+Xul61ISEBK37GxUSEiI6gsbicebdrl+/Dj8/P6V2S0tLpKamFn0gDVESRpGwkNIAz58/hyRJMDExgbm5Oe7du4dly5bBw8MDzZs3Fx1PqIEDByI4OBhmZmYoV64cGjduDOD1kL+qVauKDSdQmzZtMH78ePkBSCaTIT4+HsOHD9fa4Y4Ae3ff5s6dO8jJyVHqrbt58yb09fXh4uIiJphg7HUp2Jdffonu3btjxowZCicmhg4diq+++kpwOnH++usv6OrqokWLFgrte/bsQW5uLoKCggQlE4/HGdUcHBxw69Ytpe0/evSoVk8LXyJGkYi4CzApatasmbRo0SJJkiTp77//luzs7CQnJyfJyMhI+vnnnwWnEy8mJkbavHmz9OzZM3nbjh07pKNHjwpMJVZqaqoUEBAgWVlZSbq6upKzs7Okr68v+fn5SRkZGaLjaYT09HQpPT1ddAyN4efnJ61cuVKp/bfffpMaNWpU9IE0hJ2dnbR7926l9sjISMnOzk5AIs3x4sULqX///pKBgYGko6Mj6ejoSIaGhtLAgQOl7Oxs0fGEqVq1qrRz506l9l27dkne3t4CEmkOHmdUmzx5suTh4SGdOHFCMjc3l44cOSKtXr1aKl26tDRv3jzR8YQZN26cZGVlJU2dOlU6fPiwdPjwYWnKlCmSlZWVNH78eNHxCoWFlAawtbWVLl26JEmSJP3yyy+St7e3lJubK23YsEFyd3cXnE4zvHjxQrp27Zr06tUr0VE0ypEjR6SFCxdK06ZNk6KiokTH0ShHjx7V6i97/2Zubi7dvHlTqf3mzZuSpaVl0QfSEP369ZOcnJykdevWSfHx8VJ8fLz0+++/S05OTtKAAQNEx9MImZmZ0oULF6QLFy5ImZmZouMIZ2RkJN25c0ep/c6dO5KJiUnRB9IgPM6olpeXJ02cOFEyNTWVZDKZJJPJJCMjI2nkyJGiowmVl5cnzZo1Sypbtqx8v5QtW1aaM2eOlJeXJzpeoXBonwbIysqSjzffs2cPOnToAB0dHXz66ae4d++e4HRiZWVloV+/foiIiADw+hogNzc39OvXD2XLlsWIESMEJxSrQYMGWj1t6tsEBQUhNjZWq4dNvEkmk8mvwXxTWloacnNzBSTSDDNmzIBMJkPXrl2Rk5MDANDX18d3332ndAG0tjIxMYG1tTUcHR1542+8vq7l9u3bSsO0bt26BVNTUzGhNASPM6rJZDL8+OOPGDp0KG7duoWMjAx4eHjAzMxMdDShSsIcAbyPlAbw9vZGjx490L59e3h5eSEyMhK+vr44c+YMWrVqpdWzsA0YMADHjh3DnDlzEBgYiAsXLsDNzQ3btm3D2LFjce7cOdERhdm3bx/27duH5ORk5OXlKSxbvny5oFSaw9zcHOfPn2ch9f9at24NY2Nj/P7779DV1QUA5Obm4ssvv0RmZiZ27dolOKFYWVlZiIuLAwBUqFABJiYmghNpFgsLC56Y+H+9e/dGdHQ0tmzZIr/Xza1bt9CxY0fUrl0bv/76q+CE4vA4Q+/r2LFjqFWrFgwNDUVHUQt7pDTA6NGj0aVLF4SFhcHf3x++vr4AXvdOVa9eXXA6sbZu3Yr169fj008/VbiHh6enp/xLjzYaN24cxo8fj1q1aqFMmTK8mSi907Rp0+Dn54fKlSujYcOGAF7fIDI9PR379+8XnE489rq8Hc+5/mP69OkIDAyEu7s7nJycAAD3799Hw4YNMWPGDMHpxOJxRrXMzExMnTq1wJOft2/fFpRMcxTXUSQspDTA559/jgYNGuDRo0fw8fGRt/v7+6N9+/YCk4n3+PFjlTO3ZGZmanXxsHjxYqxcuRLffPON6Cgaa8mSJbC3txcdQ2N4eHjgwoULWLBgAc6fPw9jY2N07doVffv2ld+rTdt5eHgUyz/kVLQsLS1x/PhxREVFyX+XvL29VU5vrW14nFGtR48eOHToEL755hue/CxAcT1Zw6F9pNH8/PzwxRdfoF+/fjA3N8eFCxfg6uqKfv364ebNm4iMjBQdUQhbW1ucOnVKPqyEiP47Dgct2JQpU/Ddd9/ByspKdBSNcv/+ffZi0jtZWVlh586dqF+/vugoGqu4Hn/ZI6UhTp8+jQ0bNiA+Ph4vX75UWLZ582ZBqcSbPHkygoKCcOXKFeTk5GDu3Lm4cuUKjh8/jkOHDomOJ0yPHj2wdu1ajBo1SnQUjcLhE4VTtWpV/PXXX3B2dhYdhYqJ/PuykSL2YhaMx5l/WFtba3WPXGEU11EkLKQ0wLp169C1a1e0aNECe/bsQfPmzXHjxg0kJSVp/dC+Bg0aIDY2FlOnTkXVqlWxZ88e1KhRA9HR0Vp9Q97s7GwsXboUe/fuhbe3N/T19RWWz5o1S1AysTh8onDu3r2LV69eiY6hcX744Qd+2XlDbm4uVq5cWeCJCW2+5iUfB/UUjMeZf0yYMAGjR49GREQEJ7IpQJcuXURHeC8c2qcBvL290bt3b/Tp00fetenq6orevXujTJkyGDdunOiIpGGaNGlS4DKZTKa1X3A4fKJwiusQCipaffv2xcqVK9GqVSuVJyZmz54tKJnm4O9Swbhv/lG9enXExcVBkiS4uLgonfw8e/asoGRilYRRJOyR0gBxcXFo1aoVAMDAwEA+kUJYWBiaNm2q1YVUfHz8W5eXK1euiJJolgMHDoiOoJE4fKJwGjZsCGNjY9ExNAJ7XQq2bt06bNiwAS1bthQdRWOxF7NgPM78o127dqIjaKSSMIqEPVIawMnJCbt27ULVqlXh7e2N8PBwfPXVV4iOjkZgYCDS0tJERxRGR0fnrb9Y2nyDP1K2evVqbNu2jcMnqNDY61IwR0dHHDx4EJ988onoKFRMHD58GPXq1YOenuJ5+pycHBw/fpwzG5KCkjCKhD1SGsDPzw9RUVGoWrUqvvjiCwwYMAD79+9HVFQU/P39RccT6t833H316hXOnTuHWbNmYdKkSYJSidGhQwesXLkSFhYW6NChw1vX1dYJSmbOnIm4uDjY29tz+MS/bN++XWW7TCaDkZERKlasCFdX1yJOJR57XQo2ePBgzJ07FwsWLCiWZ4o/lkGDBqlsf/N3qW3btlrZU9WkSRM8evRI6bYlaWlpaNKkCU9+koKSMIqEhZQGWLBgAbKzswEAP/74I/T19XH8+HF07NgRI0eOFJxOrDfvq5WvVq1acHR0xE8//fTOgqIksbS0lH+ZsbS0FJxGM3H4RMHatWsHmUymdHF8fptMJkODBg2wdetWWFtbC0pZ9AwMDFCxYkXRMTTS0aNHceDAAezatQuenp5KJya09YTNuXPncPbsWeTm5qJy5coAgBs3bkBXVxfu7u74+eefMXjwYBw9ehQeHh6C0xat/GPJvz19+hSmpqYCEoljY2ODGzduoFSpUrC2tn7ryYiUlJQiTKY5SsIkHBzaR8XSrVu34OPjg8zMTNFRiIqFffv24ccff8SkSZNQp04dAMCpU6cwatQojBw5EpaWlujduzfq1q2LZcuWCU5bdGbOnInbt2+z10WF0NDQty5fsWJFESXRLHPmzMGRI0ewYsUKWFhYAHjd49KjRw80aNAAPXv2RJcuXfD8+XPs3r1bcNqikX9Sc9u2bQgMDIShoaF8WW5uLi5cuIDKlStr1b0fIyIi0LlzZxgaGiIiIuKt64aEhBRRKs1SEibhYCGlIeLi4rBixQrExcVh7ty5sLOzw65du1CuXDl4enqKjidMenq6wnNJkvDo0SOMHTsW165dQ2xsrJhgpNHOnDmDq1evAgA8PT1RvXp1wYnE8/LywtKlS1GvXj2F9mPHjqFXr164fPky9u7di27dur1zkpeSpH379jhw4ABsbGzY60KFUrZsWURFRSn1Nl2+fBnNmzfHgwcPcPbsWTRv3hxPnjwRlLJo5RfdERER6NSpk8IkEwYGBnBxcUHPnj1RqlQpURFJA71rMrUxY8YUUZL3x6F9GuDQoUMICgpC/fr1cfjwYUyaNAl2dnY4f/48li1bhk2bNomOKIyVlZXSWWJJkuDs7Ix169YJSiVG9erVC33GvDicxfkYkpOT0blzZxw8eBBWVlYAgNTUVDRp0gTr1q1D6dKlxQYUKC4uTn72/E0WFhbyKWYrVaqkNV/88llZWWn9/fre5fHjx7h+/ToAoHLlylr9ewS87n1KTk5WKqQeP34sP/lnZWWFly9fiognRH7vpIuLC4YMGaJ1w/hU+feJ4LdRdWzWBsWhUHoXFlIaYMSIEZg4cSIGDRoEc3NzeXvTpk2xYMECgcnE+/c03zo6OihdujQqVqyoNCtQScfrf96tX79+ePbsGS5fvowqVaoAAK5cuYKQkBD0798fv//+u+CE4tSsWRNDhw7FqlWr5F+EHz9+jGHDhqF27doAgJs3b8LZ2VlkzCKnrcPTCiMzMxP9+vXDqlWr5NPC6+rqomvXrpg/f36xvabhv2rbti26deuGmTNnyn93YmJiMGTIEPlx+tSpU1o522H+F2MW36pPBP9b/jVl2j4JR3EeRcKhfRrAzMwMFy9ehKurq8IN7O7evQt3d3f5RBRE9HaWlpbYu3ev/MtNvlOnTqF58+ZITU0VE0wDXL9+HW3btsWdO3fkxVJCQgLc3Nywbds2fPLJJ9i6dSuePXuGb775RnDaoscvfsp69+6NvXv3YsGCBfLpiY8ePYr+/fujWbNmWLRokeCEYmRkZCAsLAyrVq1CTk4OAEBPTw8hISGYPXs2TE1N5cPOq1WrJi6oAFlZWejbty+Lb7webVRYjRo1+ohJNFdJGEXCQkoDODk5YcOGDahXr55CIbVlyxYMGTIEcXFxoiMKU9CUzaq0adPmIybRTC9fvlR5E1FtvVGxubk5jhw5ovTl5dy5c2jUqJFaQy1Kory8POzZswc3btwA8LpgaNasGXR0dAQnE4e9LgUrVaoUNm3ahMaNGyu0HzhwAJ06dcLjx4/FBNMQGRkZ8mGxbm5uMDMzE5xIPBbf/3jzliWrVq3Cl19+qTAJBwFffvklbt++jVWrVimNIqlYsWLxGEUikXCDBw+WGjRoID169EgyNzeXbt68KR09elRyc3OTxo4dKzqeUDKZTNLR0ZFkMpnC499tOjo6oqMWqevXr0sNGjSQdHR0FB7auC/e1KZNG8nPz0968OCBvO3+/ftSo0aNpHbt2glMRpqqV69ekpubm/TXX39JaWlpUlpamrRz506pQoUK0rfffis6nlDGxsbSlStXlNovXbokmZiYCEhEms7W1lY6cOCAUvv+/fulUqVKFX0ggfT19aWHDx9KkiRJOjo6UlJSkuBEmsfCwkI6deqUUvvJkyclS0vLog/0HrTrIhMNNXnyZPTp0wfOzs7Izc2Fh4cHcnNz0aVLF62/j9SePXswfPhwTJ48Gb6+vgCA6OhojBw5EpMnT0azZs0EJxQjNDQUenp62LFjB8qUKcNpm//fggUL0KZNG7i4uCgMX/Py8sLq1asFpxMvMzMThw4dQnx8vNKF8P379xeUSqw//vhDqdelZcuWMDY2RqdOnbTqDPq/+fr6YsyYMVi1ahWMjIwAAM+fP8e4cePkx2NtlJmZialTp2Lfvn0qRwTk91Jpo6ysLNjb2yu129nZISsrS0Aicdzd3REeHo4mTZpAkiRs2LChwEklunbtWsTpNENeXp7STKkAoK+vr/R7pak4tE8wSZKQkJCA0qVL48mTJ7h48SIyMjJQvXp1VKpUSXQ84by8vLB48WI0aNBAof3IkSPo1auX/OJEbWNqaoozZ87A3d1ddBSNI0kS9u7di2vXrgEAqlSpgoCAAMGpxDt37hxatmyJrKwsZGZmwsbGBk+ePIGJiQns7Oy09sufiYkJzpw5Ix9Wku/y5cuoU6eOVt+r7tKlS2jRogVevHghvzn6+fPnYWRkhN27d2vtrTm++uorHDp0CN98843KE1kDBgwQlEw8f39/2NraKhXfISEhSElJwd69ewUnLDrHjh3D4MGDERcXh5SUFJibm6s86SmTybT2hrxt27ZFamoqfv/9dzg6OgIAHjx4gODgYFhbW2PLli2CE74bCynB8vLyYGRkhMuXL7NwUsHY2BgxMTHw8vJSaL9w4QLq1q2L58+fC0omVu3atTF79mylApOoII0bN8Ynn3yCxYsXw9LSEufPn4e+vj6+/vprDBgwQH5DTW3DL35vl5WVhTVr1iicmAgODla4T5C2sbKyws6dO+XXANE/WHyrpqOjg8TERNjZ2YmOolESEhLQpk0bXL58WWkUyfbt2+Hk5CQ44buxkNIAnp6eWLZsGT799FPRUTSOn58fjIyM8Ntvv8mHCyQlJaFr167Izs5Wa1ackmT//v3y4Y1Vq1ZV6hrXpntSzJs3D7169YKRkRHmzZv31nW1dfga8PrL38mTJ1G5cmVYWVkhOjoaVapUwcmTJxESEiL/oqxt+MWP1OXq6oq//vpLqReTXmPx/dqbk02oulExvVbcR5GwkNIAf/75J6ZPn45FixYp9bxou1u3bqF9+/a4ceOGwtmKSpUqYevWrahYsaLghGLkz7Km6mbF2nZPCldXV5w+fRq2trZwdXUtcD2ZTKa1w9cAoHTp0jh+/DgqVaqETz75BPPnz0eLFi1w7do11KxZU6uHsPGL3z+2b9+OoKAg6Ovrv3PWVG2cKRUAVq9ejW3btiEiIkKrZ3WktzMwMMC9e/dQpkwZ6Orq4tGjR+yRKoFYSGkAa2trZGVlIScnBwYGBkp/vLV17Gw+SZIQFRWldLZCmydYeFdPnLbek4IK1rx5c/zvf/9Dly5d0LNnT1y4cAH9+/fHb7/9hr///hsnT54UHZE0wJtDkN42Lb62nbB5U/Xq1REXFwdJkuDi4qI0IuDs2bOCkok3ZcoU2Nvbo1u3bgrty5cvx+PHjzF8+HBByYqet7c3atSogSZNmiA0NBTz5s3jZBMoeaNIWEhpgIiIiLcuDwkJKaIkmi07OxuGhoZaXUDR240fPx5DhgxROkv8/Plz/PTTTxg9erSgZOKdPn0az549Q5MmTZCcnIyuXbvKe6iWL18uH9amDdjrQv/FuHHj3rp8zJgxRZRE87i4uGDt2rWoV6+eQvvJkyfRuXNn3LlzR1Cyonf8+HEMGjSIk038S0kbRcJCijRaXl4eJk2ahMWLFyMpKQk3btyAm5sbRo0aBRcXF3Tv3l10RGFSU1OxbNky+cyFnp6e6NatGywtLQUnE6eg4RNPnz6FnZ2d1p5Bz58d1M7OTj6hgjZjr0vhFHQT0ZcvX2LdunVadRadCsfIyAhXr15V+oJ8+/ZteHh4IDs7W1AysTjZRMmlvbez11CtWrXCo0ePRMfQGBMnTsTKlSsxffp0GBgYyNu9vLzw66+/Ckwm1unTp1GhQgXMnj0bKSkpSElJwaxZs1ChQgWtHlaSf43Yv50/fx42NjYCEmkGSZJQsWJFJCQkiI6iEfLy8uRfaPLy8gp8aHMRBby+X11aWppS+7NnzxAaGiogEWk6Z2dnHDt2TKn92LFj8umttdGdO3dQunRp0TE0zvjx41XeX+z58+cYP368gETqYyGlYQ4fPqy1U3qrsmrVKixduhTBwcHQ1dWVt/v4+GjtLGMAEBYWhjZt2uDu3bvYvHkzNm/ejDt37uCzzz7DwIEDRccrctbW1rCxsYFMJsMnn3wCGxsb+cPS0hLNmjVDp06dRMcURkdHB5UqVcLTp09FR9E4q1atwosXL5TaX758iVWrVglIpDkKOjFx//59rev5zr/vGvDP8aaghzbr2bMnBg4ciBUrVuDevXu4d+8eli9fjrCwMPTs2VN0PGHKly+PtLQ0zJw5Ez169ECPHj0wa9YslScqtMm4ceOQkZGh1J6VlfXOIbSaQk90AKK3efDggcqZ+fLy8vDq1SsBiTTD6dOn8csvv0BP759fYT09PQwbNgy1atUSmEyMOXPmQJIkdOvWDePGjVP4kmdgYAAXFxf4+voKTCje1KlTMXToUM4O+i+hoaEIDAxUGnKT3+uijcPXqlevDplMBplMBn9/f4XjTG5uLu7cuYPAwECBCYve7NmzYW5uDuD18YZUGzp0KJ4+fYrvv/8eL1++BPB6uN/w4cMRHh4uOJ04p0+fRosWLWBsbIw6deoAeP0zNXnyZOzZswc1atQQnFCMkjCKhIWUhilfvrzSDEDazMPDA0eOHEH58uUV2jdt2oTq1asLSiWehYUF4uPj4e7urtCekJAg/2OvTfInZHF1dUX9+vUVvvjRa127dkVWVhZ8fHw4O+gb2OuirF27dgCA2NhYtGjRAmZmZvJl+ScmOnbsKCidGG9O+sQJoAomk8kwbdo0jBo1ClevXoWxsTEqVaqkdJ2dtskfRfLmCdCcnBz06NEDAwcOxOHDhwUnLFrW1tbykzWffPKJwjE4NzcXGRkZ+PbbbwUmLDx+29AA8fHxcHZ2hkwmw6VLl+Tt+ReIlytXTmA6sUaPHo2QkBA8ePAAeXl52Lx5M65fv45Vq1Zhx44douMJ8+WXX6J79+6YMWOGfHakY8eOYejQofjqq68EpxMnMzMT+/btQ4sWLRTad+/ejby8PAQFBQlKJh7Poitir0vB8medc3FxQefOnbX+S7AqeXl5uHXrFpKTk5GXl6ewzM/PT1AqzWFmZoZbt26hTZs2/PkBR5H8W0kaRcJCSgO4urqqnGksJSUFrq6uWn3Bc9u2bfHnn39i/PjxMDU1xejRo1GjRg38+eefaNasmeh4wsyYMQMymQxdu3ZFTk4OAEBfXx/fffcdpk6dKjidOCNGjFC5/ZIkYcSIEVpdSPEsuiL2urybh4cHYmNjUbduXYX2kydPQldXVyu/AALAiRMn0KVLF9y7dw//nvhY22d6fFPv3r1Rt25duLm5iY4iHEeRKCpJo0iKb/ISpKChJRkZGVo9VXFOTg4mT56Mbt26ISoqSnQcjWJgYIC5c+diypQpiIuLAwBUqFBB6f5J2ubmzZvw8PBQand3d8etW7cEJNJMrVq1wq+//ooyZcqIjiIMe13erU+fPhg2bJhSIfXgwQNMmzZNa2/i/O2336JWrVrYuXMnypQpw3sbFoB31/kHR5GoVhJGkbCQEmjQoEEAXp/BGjVqlMKX4NzcXJw8eRLVqlUTlE48PT09TJ8+XSsv9i4sExMTWFtbw9HR8a33w9EWlpaWuH37NlxcXBTab926BVNTUzGhNBBnB/0He10KduXKFZUXwVevXh1XrlwRkEgz3Lx5E5s2bVI5ERKRKhxFolpJGEXCb14CnTt3DufOnYMkSbh48aL8+blz53Dt2jX4+Phg5cqVomMK5e/vj0OHDomOodE8PDxw9+5d0TE0Qtu2bTFw4EB5Lx3wuogaPHgw2rRpIzAZaao+ffqovL/WgwcP0KdPHwGJNIehoSGSkpKU2h89elSsh+L8V3Xr1mUPdyHs2rVLq+8d9ab8USR///03YmNjERsbi5SUFMyePVure8NLwigS7T0SaoADBw4AeD397ty5c2FhYSE4keYJCgrCiBEjcPHiRdSsWVOpV4Ffjjl84k3Tp09HYGAg3N3d4eTkBOD17GsNGzbEjBkzBKfTHJwd9B/sdSlY8+bNER4ejm3btskvBk9NTcUPP/yg1deo9uvXD4MHD0ZiYiKqVq2q9Lvk7e0tKJlmadCggegIGoejSBSVhFEkMonfwjROeno69u/fD3d3d6ULE7XN2w40vKj3NXNzc5w/f54X9P4/SZIQFRWF8+fPw9jYGN7e3pxFC4qzg75J22cHtbW1xY4dO5RmiDp+/DhatWqFv//+W1Ay8R48eAA/Pz88ffpUfruJ2NhY2NvbIyoqCs7OzoITiqHq75JMJpNf76xtf5fyZ8AsjLNnz37kNJrPwsICsbGx/JuN1xOSREdHY8uWLahQoQKA10VUx44dUbt2bfz666+CE74bCykN0KlTJ/j5+aFv3754/vw5fHx8cPfuXUiShHXr1mn9zFH0dlOmTMF3330HKysr0VFIg+nq6qqcHfTp06ews7PTui9/+b766is8evRIqdelXbt2sLOzw4YNGwQnFCszMxNr1qxRODHx1VdfaXWP5r179966/N/3PSzpxo0bV+h18yd50WY8+fmPtLQ0BAYG4vTp00qjSDZv3lwsvtewkNIADg4O2L17N3x8fLB27VqMGTMG58+fR0REBJYuXYpz586JjqgR7t+/z+5wUjJv3jz06tULRkZGmDdv3lvX7d+/fxGl0jw6OjpISkpC6dKlFdrv3bsHDw8PZGZmCkomFntdiD6M3NxcHDt2DN7e3sXiC7AoLKQUFfdRJCykNICxsTFu3LgBZ2dndO3aFY6Ojpg6dSri4+Ph4eGBjIwM0RE1ArvD/5Gbm4uVK1di3759Km8IuX//fkHJip6rqytOnz4NW1tbuLq6FrieTCbD7du3izCZZsifHXTu3Lno2bOnytlBdXV1cezYMVERhWOvyz+2b9+OoKAg6OvrY/v27W9dV5uvUY2Li8OcOXNw9epVAK8n/RkwYIB8eJK2MjIywtWrV996LNZ2HEVSsnCyCQ3g7OyM6Oho2NjYIDIyEuvWrQMA/P3331p9H6l/Y83/jwEDBmDlypVo1aoVvLy8tPo+Jnfu3FH5b3otv0c7f3ZQAwMD+TIDAwP4+PhgyJAhouJpBFNTU/Tq1Ut0DI3Qrl07JCYmws7OTn7TYlW08VqgfLt370abNm1QrVo11K9fH8DrewJ5enpq/c3ivby8cPv2bRZSbxEeHi46glAlbRQJe6Q0wM8//4wBAwbAzMwM5cqVw7lz56Cjo4P58+dj8+bN8tn9tB27w/9RqlQprFq1Ci1bthQdhYoJzg76D/a60H9RvXp1tGjRQun+NyNGjMCePXu0ekKFyMhIhIeHY8KECSpn2tXW4w9HkfyjpI0iYSGlIU6fPo2EhAQ0a9YMZmZmAICdO3fCyspKfsZL27E7/B+Ojo44ePAgPvnkE9FRhMsfulYYs2bN+ohJihdtnh1UR0dH3uvCmUFJXUZGRrh48SIqVaqk0H7jxg14e3sjOztbUDLx3vx9enOkhLbOaJivb9++8lEkZcqUURpFMnv2bEHJ6L9iIaVBXr58iTt37qBChQpafbNDereZM2fi9u3bWLBggVYP6wOAJk2aKDw/e/YscnJyULlyZQCvv9zo6uqiZs2aWnXW7984OygVxruG2rypOAy7+RicnZ0xa9YsfPHFFwrtGzZswJAhQxAfHy8omXiHDh166/JGjRoVURLNwlEkJRe/rWuArKws9OvXDxEREQBef/Fzc3NDv379ULZsWYwYMUJwQnHYHa7a0aNHceDAAezatQuenp5KF8Vv3rxZULKi9+bQ11mzZsHc3BwRERGwtrYG8Ppaw9DQUDRs2FBURI1w+PBh/PjjjwCALVu2QJIkpKamIiIiAhMnTmQhRQCUz4w/fvwYWVlZ8pEAqampMDExgZ2dndYWUj179kSvXr1w+/Zt1KtXD8Dra6SmTZumVg95SaSthdK7GBgYoGLFiqJjaISSNoqEPVIaYMCAATh27BjmzJmDwMBAXLhwAW5ubti2bRvGjh2r1dOfsztctdDQ0LcuX7FiRREl0Sxly5bFnj174OnpqdB+6dIlNG/eHA8fPhSUTDzODvp/7d15XJRlvz/wz4DIIiouDCmiLOIGLiyR/DI0URF9MvQxkzDIlUzHxDV9EhXXLBdc0gwM6GhY5FFLc0skt0OIMoTgElKoBwlFTBaV5f794WFyHFQo5LphPu/Xi9dxrpnz+HkZDPO9r+/9vf7CXZfq2bFjBz799FNERkZqdngvXryIiRMnIjg4GAEBAYITiiFJEtatW4fVq1dr3lPatm2L2bNnY9q0aXrdJfDTTz899fn6NNa6NrGL5C8NrYuEhZQMdOjQATt37kTv3r21Bir8+uuvcHV1xZ9//ik6ojDcDqeaaNq0Kb777jv069dPaz0+Ph7Dhg3D3bt3xQSTgU6dOmHp0qUYOnQo7OzsEBsbi/79+0OtVsPb2xs3b94UHbHOPH6D89N2XerDzc7Pi4ODA+Li4jTna1VKTk7GyJEjOSUT0LynNG3aVHASeajqnsNHCwd9vUdq+PDhiI+PR8uWLfW+i+RRa9aswbFjx57YRTJz5kzBCZ+NrX0ykJeXB6VSqbNeVFSk91cuuB3+dHl5ebh48SIAoHPnzjqHreqb4cOHY+zYsVi9ejU8PDwAAImJiZg9ezZGjBghOJ1Y06dPR0BAgGY6aGWx+dNPP6F79+5iw9WxRwuAZ+266LOcnByUlZXprJeXlyM3N1dAInkoKSmBJEkwMzND06ZN8fvvvyMyMhLdunXDoEGDRMcT6vbt21qPS0tLce7cOSxYsADLli0TlEo8CwsLDB8+XHQM2Vm9ejUOHTqkKaIAoEWLFli6dCkGDRpULwopSCTcK6+8Iq1fv16SJEkyNzeXrly5IkmSJE2dOlXy8fERGU24Tz75RHrvvfekiooK0VFkpbCwUBo7dqxkaGgoKRQKSaFQSI0aNZLGjRsnFRUViY4nTFFRkTR58mTJ2NhYMjAwkAwMDKTGjRtLkydPlgoLC0XHEy4pKUnatWuXdPfuXc3a999/L504cUJgKrHs7e2ls2fP6qyfOXNGsrW1FZBIPv71r39JLi4uUnJysmbtzJkzkqurq/Taa68JTCbWwIEDpc2bN0uSJEm3b9+WlEql1K5dO8nExET69NNPBaeTp2PHjkmurq6iY5DMmJubS/Hx8TrrR48elczNzes+0N/A1j4ZOHHiBHx9fTFmzBhERUUhODgY6enpOHXqFBISEuDm5iY6ojDcDq9acHAwjhw5go0bN2rG4584cQLTpk3DwIEDsXnzZsEJxSoqKkJmZiaAh+1Jj59los84HVSbmZkZEhIS8OKLL2qt//zzz+jXrx+Ki4sFJRMvLy8PQUFBOHDggOa9t6ysDD4+PoiKiqqyk0IftG7dGgkJCXByckJERAQ2bNiAc+fO4dtvv0VoaCgyMjJER5SdCxcuwN3dXa/uxawKu0i0BQYG4vjx41V2kbzyyiuaIWxyxkJKJjIzM7Fy5Uqo1WoUFhbC1dUVc+fO1buWm8dxqELVWrdujbi4uCrvBRo1ahTy8vLEBJOJX3/9FZmZmfDy8oKpqanmDBN9xumgVXvttddw/fp1REREwNXVFcDDe4AmTZoEa2vrZx7Yqw8uXbqECxcuAAC6dOmi9+fXmZmZ4cKFC2jfvj1GjRoFJycnLFy4EFevXkXnzp31uvhOTU3VeixJEnJycrBy5UqUlZXhxIkTgpKJVVRUBJVKhZiYGM30YUNDQwQGBmLDhg0wMzMTnFCM4uJizJo1C9u2bUNpaSkAoFGjRhg/fjw+/vjj+nERVOR2GBH9PaamplJ6errOelpammRmZiYgkTzcvHlT6t+/v6RQKCQDAwMpMzNTkiRJGjt2rDRjxgzB6cSaNm2a5ObmJh0/flxq0qSJ5t9m9+7dUq9evQSnE+ePP/6QfH19JYVCITVu3Fhq3LixZGBgIPn6+kq5ubmi48nC/fv3pQsXLkilpaWio8hC9+7dpfDwcCk7O1tq1qyZdOrUKUmSHrY9WllZCU4nVuV7b2XLeeWXp6enlJGRITqeMJMmTZLs7e2l/fv3S3fu3JHu3Lkj7du3T3JwcJDeffdd0fGEKywslNRqtaRWq+tdGz53pGTgWYf3tW/fvo6SyBe3w7V5e3ujVatWiImJgYmJCYCHN0AHBQUhPz8fR44cEZxQjMDAQPzxxx+IiIhA165dNRMwDx48iBkzZuD8+fOiIwrD6aBPx10XXdzFrFpcXBzeeustlJeXw9vbG4cOHQIArFixAj/99BN++OEHwQnF+f3337UeGxgYwNLSUvN7Sl+xi+Tp6nMXCRvkZcDW1vap3zD6Oi4U4Hb4k4SHh8PHxwft2rVDz549AQBqtRomJiY4ePCg4HTiHDp0CAcPHkS7du201h0dHXV+wesbTgd9OltbW0iSxHvHHjFv3jyo1WocO3YMgwcP1qwPGDAAixYt0ttCauTIkejTpw9ycnI077/Awwtc+j6ZrUOHDpo/X7t2DW3btq1yJLq+KS4uhpWVlc66UqnU61bQW7duYdSoUYiPj4dCocDly5dhb2+P8ePHo0WLFli9erXoiM/E724ZOHfuHM6ePav5SkxMxJYtW9CpUyd88803ouMJNWPGDCQkJOC7775DQUEBCgoKsGfPHiQkJNSPsZjPibOzMy5fvowVK1agV69e6NWrF1auXInLly/rHEarT4qKiqosrvPz82FsbCwgkXy4u7tj3759mseVxVNERAQ8PT1FxRKuuLgY48ePh5mZGZycnDQdAiqVCitXrhScTqzdu3dj48aN6NOnj1ax7eTkpBnmoq9eeOEFuLi4aBUJHh4e6NKli8BU8tKtWzf89ttvomPIgqenJxYuXIh79+5p1kpKSrB48WK9fv8NCQmBkZERsrOztX53v/nmmzhw4IDAZNXHy24y8OgVrUru7u5o27YtPv74Y70+/+bbb7/V2Q4fMmQITE1NMWrUKL2eTmdmZoaJEyeKjiErr7zyCmJiYrBkyRIAD4uFiooKrFq1Suc0dX2zfPly+Pr6Ij09HWVlZQgPD9eaDqqvuOvyZNzFfLIzZ87g66+/RnZ2Nh48eKD1nL5Ok30c7xz5C7tIqtYQukhYSMlY586dkZSUJDqGUNwO/8vevXvh6+sLIyOjZ04SGzZsWB2lkpdVq1bB29sbZ86cwYMHDzBnzhycP38e+fn5OHnypOh4QvXp0wcpKSlYuXIlunfvjkOHDsHV1RWnT5/W6+mgu3fv1tw7xl0XbZW7mCqVCgB3MSvFxsYiMDAQPj4+OHToEAYNGoRLly4hNzdX71v7qGqVXSTbt2/X3Ivp7++PgIAAmJqaCk4nTkPoIuGwCRl4/CZv6f/GhS5atAgXLlxASkqKmGAywKEKfzEwMMCNGzegVCqf2nOuUCj0+r66O3fuYOPGjVpHCUyZMgVt2rQRHY1kyMzMDGlpabC3t9cawqFWq+Hl5YU7d+6IjigMzzisWo8ePRAcHIwpU6Zovmfs7OwQHByMNm3aYPHixaIjysKKFSswefJkWFhYiI5CMjVkyBC4ublhyZIlaNq0KVJTU9GhQweMHj0aFRUViIuLEx3xmVhIyYCBgYFOm4QkSbCxsUFsbKxeX/lLS0uDj48P7t+/X+V2uD7fD0TaSktLMXjwYGzZsgWOjo6i48gOp4NWzcvLC2+88QZUKpXmF7mdnR1UKhUuX75cb/r0n5crV65gxYoVPOPwEU2aNMH58+dha2uLVq1a4dixY+jevTsyMjLQv39/5OTkiI5IMsAukmdLS0uDt7c3XF1dcfToUQwbNkyri8TBwUF0xGdia58MxMfHaz2uHBfasWNHvZ8exe3wqsXExODNN9/U2fp+8OCBpu1E3xgZGekcBkl/4XTQqvHesaqVlpYiODgYCxYswOeffy46jqy0aNECd+/eBQBYW1sjLS0N3bt3R0FBgd61nD+uvLwcUVFR+PHHH/HHH39opu1WOnr0qKBkdc/Pz0/TReLn5/fE1+lzF4mzszMuXbqEjRs3omnTpigsLMSIESPqVRcJd6SI6iFDQ0Pk5OTo3Ah+69YtKJVKvX1TDgkJgbGxsd5PW6uKWq3WelxaWopz585hzZo1WLZsmV4PteGuS9WaN2+OlJQU2NnZiY4iK2+99Rbc3d0xY8YMLFmyBBs2bMDrr7+Ow4cPw9XVVa+HTUydOhVRUVEYOnQo2rRpo3PxZu3atYKSkdw0lC4SFlIy8Kwt30fpw/Yvt8OfzcDAALm5uToHE6vVarz66qvIz88XlEysyjPHHB0d4ebmhiZNmmg9v2bNGkHJ5Gvfvn34+OOPcezYMdFR6tyjuy4sFnQFBQWhV69eCAkJER1FVvLz83Hv3j20bdtWMxX01KlTcHR0xIcffogWLVqIjihM69atERMTgyFDhoiOIivsIqmapaWl5menvmIhJQOV90g9/p/i8TV92f7lUIUnc3FxgUKhgFqthpOTk1brZ3l5ObKysjB48GB8/fXXAlOK87QR5wqFQq/aSqrr119/Rc+ePVFUVCQ6ihDcdXmypUuXYvXq1fD29q7ywsS0adMEJSO5atu2LY4dO4ZOnTqJjiIr7CKpWkPoItHvG3Bk4tChQ5g7dy6WL1+uGSxx+vRpfPjhh1i+fDkGDhwoOGHderSn+vH+an1X2WedkpICHx8fmJuba55r3LgxbG1t8e9//1tQOvEev9+Q/vK06aD1+WrgP+Xn54fdu3dz16UKkZGRsLCwQHJyMpKTk7WeUygUel1IZWZm4osvvkBmZibCw8OhVCrxww8/oH379no9BGnmzJkIDw/Hxo0b9f6ssUdJklTlv8e1a9fQvHlzAYnkoaysDNu2bcORI0fqbRcJd6RkwNnZGVu2bEGfPn201o8fP45JkyYhIyNDUDLxuB1etejoaIwePbrenLMgwtWrVwEANjY2gpPIA6eDVo27LtVT+VGBH46BhIQE+Pr64uWXX8ZPP/2EjIwM2NvbY+XKlThz5ky9GNn8vAwfPhzx8fFo2bIlnJycYGRkpPW8vt0/xi6Sp2sIXSQspGTA1NQUSUlJcHZ21lpPTU3FSy+9hJKSEkHJxON2eNWSkpJQUVGBl156SWs9MTERhoaGcHd3F5RMrLKyMixevBjr169HYWEhAMDc3BwqlQoLFy7U+aWuTx6fQMfpoA89raVPoVDgypUrdZhGfiIjI7F27VpcvnwZAODo6Ijp06djwoQJgpOJ4+npiTfeeAMzZszQOnvs559/xogRI3Dt2jXREYUZO3bsU5//4osv6iiJPFSeKbZ48WLMnDnziV0kjRs3FhWR/iH9/e0pIy+++CJmzJiBL7/8ElZWVgCA3NxczJ49Gx4eHoLTicXt8KpNmTIFc+bM0Smkrl+/jo8++giJiYmCkomlUqmwa9curFq1SqtNdtGiRbh16xY2b94sOKE4ffv2FR1BlrKysjR/5q6LttDQUKxZswYqlUrr5ykkJATZ2dkICwsTnFCMX375BTt27NBZVyqVuHnzpoBE8qFvhdKzLFy4EMDD4yfYRfJ09bWLhIWUDGzbtg3Dhw9H+/btNd9AV69ehaOjI3bv3i02nCCV2+EKhQLe3t5P3A7XV+np6XB1ddVZd3FxQXp6uoBE8rBjxw7ExsbC19dXs9ajRw/Y2NjA399frwspTgd9Mu66VG3z5s34/PPP4e/vr1kbNmwYevToAZVKpbeFlIWFBXJycnR2M8+dOwdra2tBqeQlLy8PFy9eBAB07txZZ8KsvunWrRtSUlLYRfKYhtBFwkJKBjp27IjU1FQcPnxYc+hs165dMWDAAL29MsqhCk9nbGyM3Nxc2Nvba63n5OTodZuWsbExbG1tddbt7Oz0vnXCz8+P00GrwF2XJystLa3yA56bmxvKysoEJJKH0aNHY+7cufjmm2+gUChQUVGBkydPYtasWXp7326loqIizTEUlcOiDA0NERgYiA0bNsDMzExwQjHYRVK1BtFFIpGslJSUSBUVFaJjyEZUVJR079490TFkZ/To0VLfvn2lgoICzdrt27elvn37Sm+88YbAZGItXrxY8vf31/qeuXfvnhQQECAtWrRIYDLxDh8+LLm6ukoHDhyQ7ty5I925c0c6cOCA5O7uLh06dEh0PGFat24t7dixQ2d9x44dUqtWrQQkko+pU6dKISEhOuszZ86U3nvvPQGJ5OH+/fvShAkTpEaNGkkKhUIyMjKSDAwMpDFjxkhlZWWi4wk1adIkyd7eXtq/f7/mfWbfvn2Sg4OD9O6774qOJ0yTJk2kzMxMnfUrV65I5ubmAhLJQ7NmzaT9+/frrO/bt09q1qyZgEQ1x2ETMlBRUYFly5Zhy5YtyM3NxaVLl2Bvb48FCxbA1tYW48ePFx1RGA5VqNr169fh5eWFW7duwcXFBcDD3TsrKyscPny43vUY15bhw4fjxx9/hLGxMXr27Ang4SHFDx48gLe3t9Zr9W16FKeDVs3CwgJJSUk6I+AvXboEDw8PFBQUiAkmA5U7CzY2NujduzeAh++92dnZCAwM1Gq7qQ9jimuDJEm4evUqLC0tcfPmTfzyyy8oLCyEi4uLXh8jUKl169aIi4tDv379tNbj4+MxatQo5OXliQkmWKtWrfD999/rTEc9deoUhg4ditu3bwtKJpZSqURCQgK6du2qtZ6RkQEvL6968f2ivz1AMrJ06VJER0dj1apVmDhxombd2dkZ69at0+tCitvhVbO2tkZqaiq2b98OtVoNU1NTjB07Fv7+/vWip/h5sbCw0Gn51Nei8nGZmZmwsLDQWW/evDl+++23Os8jF2+//TY2b96sUwhs3boVAQEBglLJQ1pamuZezMzMTAAPPyi3bt0aaWlpmtfpUwu6JEno2LEjzp8/D0dHR76/PKa4uFgzNOtRSqUSxcXFAhLJw6BBgzBv3jzs2bNHMyiroKAA8+fP17uzQh81depULFmyBF988YVmEMf9+/exbNkyTJ06VXC66uGOlAx07NgRn332Gby9vbVGqV64cAGenp56e6UCeHjTYWpqqs69QFlZWejRowfu3r0rKBlR/eLl5QUTExOd6aCBgYG4d++eznh0fcFdF6opJycnREZGar5f6C/e3t5o1aoVYmJiYGJiAgAoKSlBUFAQ8vPzceTIEcEJxWAXSdUaQhcJd6Rk4Pr16+jYsaPOekVFBUpLSwUkkg8OVfjL3r174evrCyMjo2dOYNO3qWtVWblyJd59990qd2H0EaeDVo27LlRTK1euxOzZs7F582ad8x/1XXh4OHx8fNCuXTutD8YmJiY4ePCg4HTisIukag2hi4Q7UjLg5uaGkJAQjBkzRmtHKiwsDIcPH8bx48dFRxTG398fOTk5Otvhfn5+UCqVenUauIGBAW7cuAGlUgkDA4Mnvk7fpq49SbNmzZCSkqJThOszSZI4HZToH2rRogWKi4tRVlaGxo0bw9TUVOv5/Px8Qcnkobi4GNu3b9d6nwkICND5dyJqCPTrkr5MhYaGIigoCNevX0dFRQV27dqFixcvIiYmBt9//73oeEJ98skn8PLyQocOHXS2w7/88kvB6epW5SjZx/9MVeM1Il0KhQKDBg2Cl5cXjI2NWUAR/Q3r1q0THUHWzMzMtO731lfsIqmZ+tpFwh0pmTh+/DjCwsKgVqtRWFgIV1dXhIaGYtCgQaKjCVdUVKS1Hd6jRw+93w6nZ3t0d5c4HZSIng8WDFVjF0nN1NcuEhZSgpWVlWH58uUYN24c2rVrJzoOydj69eur/dpp06Y9xyT1w9WrV2Ftbf3UX2D6JCwsDNHR0QgLC8PEiRORlpYGe3t77Ny5E+vWrcPp06dFRySqd4YOHYqIiAi0adNGdBRhWDBQbaivFz9ZSMmAubk50tLSYGtrKzqKLPDqVtXs7Oy0Hufl5aG4uFizDV5QUAAzMzMolUpcuXJFQEJ5KCgoQFxcHDIzMzF79my0bNkSZ8+ehZWVFaytrUXHE4bTQYlqX3398EckN/X1Z4n3SMmAt7c3EhISWEj9Hz8/P83VLT8/vye+Tt+ubmVlZWn+vGPHDnz66aeIjIxE586dAQAXL17ExIkTERwcLCqicKmpqRgwYIDmbKSJEyeiZcuW2LVrF7KzsxETEyM6ojCcDkpEz1tMTAzefPNNzZlAlR48eIDY2FgEBgYKSlb32EVSM+np6fXyYid3pGRgy5YtWLx4MQICAuDm5oYmTZpoPa9Puy5UPQ4ODoiLi9MM4KiUnJyMkSNHahVd+mTAgAFwdXXFqlWrtK5unTp1Cm+99ZZeHzzL6aBEtc/Z2Rk//PBDvRvZ/LwYGhoiJycHSqVSa/3WrVtQKpV6dfGTXSTVU9+7SLgjJQPvvfcegKoPe9S3XReqnpycHJSVlemsl5eXIzc3V0AieUhKSsJnn32ms25tbY0bN24ISCQfnA5KVDuys7NhY2MDhUKhddaYJEm4evUq2rdvLzCdWJIkVTkN9Nq1a5ojTPQFu0ierSF0kbCQkgGOstbG7fBn8/b2RnBwMCIiIjSHiSYnJ2Py5MkYMGCA4HTiGBsb488//9RZv3TpEiwtLQUkko/XX38d3333HcLCwtCkSROEhobC1dUV3333HQYOHCg6HlG9YWdnV+WuS35+Puzs7PTy4qeLiwsUCgUUCgW8vb3RqNFfHy/Ly8uRlZWFwYMHC0wo1oIFCxAXF6cpogCgc+fOWLt2LUaOHImAgACB6cSZMWMG3nnnHU0XSaUhQ4bgrbfeEpis+lhIycy1a9fQtm1bvZ40tnbtWq3HT9sO19dCatu2bQgKCoK7u7tmDHxZWRl8fHwQEREhOJ04w4YNQ1hYmOagZoVCgezsbMydO1fn9HR98uh00MOHD4uOQ1SvPWnXpbCwECYmJgISiVd5P3NKSgp8fHxgbm6uea5x48awtbXV6/dgdpFUrSF0kbCQkplu3brVyzn6tYnb4c9maWmJ/fv349KlS5rT47t06YJOnToJTibW6tWrMXLkSCiVSpSUlKBv3764ceMGPD09sWzZMtHxhGnUqBFWrVqlVzd6E9W2GTNmAHh4gWbBggUwMzPTPFdeXo7ExET06tVLUDqxFi5cCACwtbXF6NGjdYZN6Dt2kVStIXSRcNiEzNTX8Y/PC4cqPN2DBw+QlZUFBwcHrVYKfXfixAmkpqZqDrfW519UlV5//XWMGDECQUFBoqMQ1UuvvvoqACAhIQGenp5o3Lix5rnKXZdZs2bB0dFRVEThkpKSUFFRgZdeeklrPTExEYaGhnB3dxeUTKy8vDwEBQXhwIEDOl0kUVFROm2i+mLChAm4desWvv76a7Rs2RKpqakwNDSEn58fvLy8sG7dOtERn4mFlMywkNJmZmaGhIQEvPjii1rrP//8M/r164fi4mJBycQqLi6GSqVCdHQ0gIdXb+zt7aFSqWBtbY0PPvhAcEKSG04HJaodY8eORXh4OJo1ayY6iux4eHhgzpw5GDlypNb6rl278NFHHyExMVFQMnlgF4m2O3fuYOTIkThz5gzu3r2Ltm3barpI9u/fr/N7So5YSMnMihUrMHnyZM39QPrutddew/Xr13W2wydNmgRra+tnHtjbUL3//vs4efIk1q1bh8GDByM1NRX29vbYs2cPFi1ahHPnzomOWGc4nKR6nnbfJaeDEv19f/75J44ePYouXbqgS5cuouMIZW5urvl99KisrCz06NEDd+/eFZRMHthFUrX63EXCQopkjdvhVevQoQN27tyJ3r17a+1i/vrrr3B1da2y57ih4lkdRFSXRo0aBS8vL0ydOhUlJSXo2bMnfvvtN0iShNjYWL0eqtCqVSt8//338PT01Fo/deoUhg4ditu3bwtKJha7SBoulsMyUF5ejqioKPz444/4448/dMahHz16VFAy8ThUoWp5eXlVFpFFRUVVTpNqyDicpOY4HZTo7/vpp5/wn//8BwDw3//935AkCQUFBYiOjsbSpUv1upAaNGgQ5s2bhz179mjOjSooKMD8+fP1+piFefPmQa1W49ixY1pj4AcMGIBFixbpVSHV0LpIuCMlA1OnTkVUVBSGDh2KNm3a6HwQfnwcuD7idrg2Ly8vvPHGG1CpVGjatClSU1NhZ2cHlUqFy5cv48CBA6IjCsHhJNXTrFkzvZ8OSvR3mZqa4tKlS7CxsUFgYCDatm2LlStXIjs7G926dUNhYaHoiMJcv34dXl5euHXrluZ9OCUlBVZWVjh8+DBsbGwEJxSDXSR/aWhdJPxEKgOxsbH4+uuvMWTIENFRZIfb4VVbvnw5fH19kZ6ejrKyMoSHhyM9PR2nTp1CQkKC6HjC8KyO6uH1M6K/z8bGBqdPn0bLli1x4MABxMbGAgBu376tt+dIVbK2tkZqaiq2b98OtVoNU1NTjB07Fv7+/pr2fH3ELpK/NLQuEvZ1yEDjxo3RsWNH0TFk6dHt8Ed/QQ0YMAA7d+4UmEysPn36QK1Wo6ysDN27d8ehQ4egVCpx+vRpuLm5iY4nTOVZHWfPntWs8awOIqpN06dPR0BAANq1a4c2bdqgX79+AB62/HXv3l1sOBlo0qQJJk2ahE2bNuGTTz5BYGCgXhdRAODu7o59+/ZpHlcWTxERETr3k+mTBQsWYMOGDZoiCgA6d+6MtWvX4sMPPxSYrPq4IyUDM2fORHh4ODZu3Kh3VyaeZffu3Zrt8Ef/bZycnJCZmSkwmTilpaUIDg7GggUL8Pnnn4uOIyvbtm1DUFAQ3N3ddYaTRERECE4nH/Pnz0fLli1FxyCql9577z14eHjg6tWrGDhwoOZeQ3t7eyxdulRwurq3d+9e+Pr6wsjI6JmTdPX1mAV2kVStIXSR8B4pGRg+fDji4+PRsmVLODk56Vy52bVrl6Bk4pmZmSEtLQ329vZafcVqtRpeXl64c+eO6IhCNG/eHCkpKTq9xvQQh5MQ0fPGe3cfMjAwwI0bN6BUKnnMwlNcuXIFK1asgFqt1oz5njt3rl7vYjaEI2709ydfRiwsLDB8+HDRMWSpcjtcpVIB4HZ4JT8/P+zevRshISGio8hSp06dWDw9htNBiWoH793V9uh7yePvK8QukqdpCF0kLKRk4IsvvhAdQba4HV41R0dHhIWF4eTJk3Bzc9M5/bs+jAx9HsaNG/fU57dt21ZHSeTn/fff10wHdXZ2Zhsx0d/EUdZUE0ZGRvj222+xYMEC0VFkpyEcccPWPhnJy8vDxYsXATy82c7S0lJwInngdriup7X0KRSKejEy9Hl4fGe3tLQUaWlpKCgoQP/+/fW6TbZ169aIiYnhdFCif4ijrLU1tHOBnoegoCD06tWLXSQNEHekZKCoqAgqlQoxMTGabXFDQ0MEBgZiw4YNMDMzE5xQDG6HP9mj40Mrr4Vwh+Hh4ZiPq6iowOTJk+Hg4CAgkXxwOihR7eAoa22Pn3X5tHOB9LWQYhdJ1RpCFwnHn8vAjBkzkJCQgO+++w4FBQUoKCjAnj17kJCQgJkzZ4qOJ0zldjhVLTIyEs7OzjAxMYGJiQmcnZ3rTU9xXTIwMMCMGTP0/mDryumgbEIg+mc4ylpbVlaW5mvZsmXo1asXMjIykJ+fj/z8fGRkZMDV1RVLliwRHVWYyMhIWFhYIDk5GVu3bsXatWs1X+vWrRMdT5jbt29rff3xxx84evQodu3ahYKCAtHxqoWtfTLQunVrxMXFac6iqBQfH49Ro0YhLy9PTDAZ4HZ41UJDQ7FmzRqoVCrNL+7Tp09j48aNCAkJQVhYmOCE8rJ//34EBQXp9c8Sp4MS1Y4TJ07A19cXY8aMQVRUFIKDg7Xu3dXns/wcHBwQFxcHFxcXrfXk5GSMHDlSq5tCX7GL5Oke7SKZM2eO6DjPxNY+GSguLoaVlZXOulKpRHFxsYBE8sHt8Kpt3rwZn3/+Ofz9/TVrw4YNQ48ePaBSqfS2kJoxY4bWY0mSkJOTg3379iEoKEhQKnngdFCi2tGnTx+kpKRg5cqVmgPRXV1dcfr0ab2+dxdoGOcCPS+RkZFYu3YtLl++DODh55vp06djwoQJgpPJS2UXSb9+/epFIcUdKRnw9vZGq1atEBMTAxMTEwBASUkJgoKCkJ+fjyNHjghOKA6HKlTNwsICSUlJcHR01Fq/dOkSPDw86s2WeG179dVXtR4bGBjA0tIS/fv3x7hx4/T6rBciouetIZwL9Dywi6Rm6lMXCQspGUhLS4OPjw/u37+Pnj17AgDUajVMTExw8OBBODk5CU4oD9wO/4tKpYKRkRHWrFmjtT5r1iyUlJRg06ZNgpKR3HE6KNE/k52d/dTn27dvX0dJ5CcvLw9BQUE4cOCAzrlAUVFRVQ7p0AeWlpZYv369VhcJAHz11VdQqVS4efOmoGRiPauLZOPGjYKSVR8LKZkoLi7G9u3bNXP0u3btioCAAJiamgpOJh63w3VVTnm0sbFB7969AQCJiYnIzs5GYGCg1v0vjxdbpJ84HZSodhgYGDz1gl55eXkdppGn+nwu0PPALpKqNYQuEhZSJGvcDq/a428+T6JQKHD06NHnnEZe4uLi8PXXXyM7OxsPHjzQeu7s2bOCUokXHByMI0eOYOPGjXj55ZcBPLxpftq0aRg4cCA2b94sOCFR/aBWq7Uel5aW4ty5c1izZg2WLVuGESNGCEomHw8ePEBWVhYcHBzqxYfh541dJA0XCylB9u7dC19fXxgZGT2zZ3jYsGF1lEp+uB1ONbF+/Xr85z//wTvvvIOtW7di7NixyMzMRFJSEqZMmYJly5aJjigMp4MSPV/79u3Dxx9/jGPHjomOIkxxcTFUKhWio6MBPNxxsbe3h0qlgrW1NT744APBCcVgF0nDxUJKEAMDA9y4cQNKpRIGBk8+zkuhUOh1mwC3w6kmunTpgoULF8Lf3x9NmzaFWq2Gvb09QkNDkZ+fXy/6rZ8XMzMzJCcno2vXrlrr58+fh4eHB4qKigQlI2oYfv31V/Ts2VOvf5bef/99nDx5EuvWrcPgwYORmpoKe3t77NmzB4sWLcK5c+dERxSCXSRPVt+7SLjfKkjlPQqP/5m0vf3229i8ebPOFZqtW7ciICBAUCqSq+zsbPy///f/AACmpqa4e/cugIffR71799brQsrT0xMLFy7UmQ66ePFivTxElOjv+vPPP7UeV94gv2jRIp2Lfvpm9+7d2LlzJ3r37q11H5mTkxMyMzMFJhMrPj5edARZerSLZM+ePTpdJPUBCykZiImJwZtvvgljY2Ot9QcPHiA2NhaBgYGCkslDZGQkDh06VOV2+KMTX7gdTi+88ALy8/PRoUMHtG/fHv/zP/+Dnj17IisrC/q++R4eHg4fHx+0a9euyumgRFQ9FhYWOsMmJEmCjY0NYmNjBaWSh7y8vCon8xUVFXHiLun49NNPsXXrVvj7+yMqKgpz5szR6iKpD9jaJwOGhobIycnRefO5desWlEqlXrf2cTucamLChAmwsbHBwoULsWnTJsyePRsvv/wyzpw5gxEjRiAyMlJ0RKE4HZTon0tISNB6XDlprGPHjno/WMHLywtvvPEGVCoVmjZtitTUVNjZ2UGlUuHy5cs4cOCA6IgkI2ZmZsjIyECHDh2gVCpx+PBh9OzZE5cvX0bv3r1x69Yt0RGfSb9/4mVCkqQqr9Rcu3YNzZs3F5BIPrgdTjWxdetWTavslClT0KpVK5w6dQrDhg1DcHCw4HTimZmZYeLEiaJjENVrffv2FR1BtpYvXw5fX1+kp6ejrKwM4eHhSE9Px6lTp3QKUKKG0EXCQkogFxcXKBQKKBQKeHt7a13JKi8vR1ZWFgYPHiwwIVH9YmBgoDW8ZfTo0Rg9erTARGJxOihR7XvWz9Kj9O3nqk+fPlCr1VixYgW6d++OQ4cOwdXVFadPn0b37t1FxyOZ6d+/P/bu3QsXFxeMHTsWISEhiIuL03SR1Ads7RNo8eLFmv87c+ZMmJuba55r3LgxbG1t8e9//xuNGzcWFZFI9lJTU6v92h49ejzHJPLD6aBEta/yQN7HPz49vqZvP1elpaUIDg7GggULYGdnJzoO1QMVFRWoqKjQbCTExsbi1KlTcHR0RHBwcL34/MtCSgaio6MxevRonWETRPRsT/pQ8zh9+1BDRM/HkSNHMHfuXCxfvlzroPgPP/wQy5cvx8CBAwUnFKd58+ZISUlhIUV6g4WUDCQlJaGiogIvvfSS1npiYiIMDQ3h7u4uKBmR/P3+++/Vfm2HDh2eYxJ543RQotrh7OyMLVu2oE+fPlrrx48fx6RJk5CRkSEomXhBQUHo1asXQkJCREchmWpoXSQspGTAw8MDc+bMwciRI7XWd+3ahY8++giJiYmCkhHVLytWrICVlRXGjRuntb5t2zbk5eVh7ty5gpKJx+mgRLXD1NQUSUlJcHZ21lpPTU3FSy+9hJKSEkHJxFu6dClWr14Nb29vuLm5oUmTJlrPT5s2TVAykouG1kXCQkoGzM3NNad/PyorKws9evTQHCpKRE9na2uLHTt2aA7lrZSYmIjRo0cjKytLUDLxDAwMkJubC0tLS611tVqNV199td6c2UEkmpeXF0xMTPDll1/CysoKAJCbm4vAwEDcu3dPr6fTPa2lT6FQ4MqVK3WYhuSooXWRcGqfDBgbGyM3N1enkMrJydH7MymIauLGjRto06aNzrqlpSVycnIEJBKP00GJate2bdswfPhwtG/fHjY2NgCAq1evwtHREbt37xYbTrBHL1ZVXqfnQbz0qEeLo4bQRcJP6TIwaNAgzJs3D3v27NGcG1VQUID58+fr9U2rRDVlY2ODkydP6lwVPXnyJNq2bSsolVh+fn4AgJSUFPj4+DxxOigRVU/Hjh2RmpqKw4cPax1uPWDAABYNACIjI7F27VpcvnwZAODo6Ijp06djwoQJgpOR3Hz22WfYsWOHzrqTkxNGjx7NQoqq55NPPoGXlxc6dOgAFxcXAA8/9FhZWeHLL78UnI6o/pg4cSKmT5+O0tJS9O/fHwDw448/Ys6cOZg5c6bgdGIsXLgQwMO2R04HJaodCoUCgwYNgpeXF4yNjVlA/Z/Q0FCsWbMGKpVKa6JhSEgIsrOzERYWJjghyUlD6CLhPVIyUVRUhO3bt0OtVsPU1BQ9evSAv78/jIyMREcjqjckScIHH3yA9evX48GDBwAAExMTzJ07F6GhoYLTicXpoES1o6KiAsuWLcOWLVuQm5uLS5cuwd7eHgsWLICtrS3Gjx8vOqIwlpaWWL9+Pfz9/bXWv/rqK6hUKty8eVNQMpIjR0dHLFy4EGPGjNFa//LLL7Fw4cJ6cU8dd6RkokmTJpg0aZLoGET1mkKhwEcffYQFCxYgIyMDpqamcHR05C4MgClTpmDOnDk6hdT169c5HZSoBpYuXYro6GisWrUKEydO1Kw7Oztj3bp1el1IlZaWVnlRxs3NDWVlZQISkZw1hC4S7kgJsnfvXvj6+sLIyAh79+596muHDRtWR6mIqKHidFCi2tGxY0d89tln8Pb2RtOmTaFWq2Fvb48LFy7A09MTt2/fFh1RGJVKBSMjI6xZs0ZrfdasWSgpKcGmTZsEJSM5aghdJCykBDEwMMCNGzegVCphYGDwxNfVlzn6RCRvrVq1wvfff6+5b6HSqVOnMHToUL3+8EdUE6amprhw4QI6dOigVUilp6fDw8MDhYWFoiMKo1KpEBMTAxsbG/Tu3RvAw/bh7OxsBAYGat2u8HixRfqrsLCw3naRsLVPkIqKiir/TET0PHA6KFHt6NatG44fP65zxk1cXJxmYJS+SktLg6urKwAgMzMTANC6dWu0bt0aaWlpmtdxOAc9ytzcHC+++KLoGH8LCykiIj3A6aBEtSM0NBRBQUG4fv06KioqsGvXLly8eBExMTH4/vvvRccTKj4+XnQEojrF1j5B1q9fX+3XTps27TkmISJ9wemgRLXj+PHjCAsLg1qtRmFhIVxdXREaGopBgwaJjkZEdYiFlCCPHxial5eH4uJiWFhYAHjYcmNmZgalUlkvxj8SERE1dGVlZVi+fDnGjRuHdu3aiY5DRIKxkJKBHTt24NNPP0VkZCQ6d+4MALh48SImTpyI4OBgBAQECE5IRPURp4MS1T5zc3OkpaXB1tZWdBQiEoyFlAw4ODhUeZNqcnIyRo4ciaysLEHJiKg+43RQotr3+uuvY8SIEQgKChIdhYgE47AJGcjJyanyoLry8nLk5uYKSEREDQGngxLVPl9fX3zwwQf45Zdf4ObmhiZNmmg9z91dIv3BHSkZeO2113D9+nVERERoxoYmJydj0qRJsLa2fmZLDhEREdUN7u4SUSUWUjKQl5eHoKAgHDhwQDM9q6ysDD4+PoiKioJSqRSckIjqI04HJSIien5YSMnIpUuXcOHCBQBAly5d0KlTJ8GJiKg+43RQoufr2rVraNu27VN3qYio4eI9UjJia2sLSZLg4OCARo34n4aI/plHB9U8azooEdVct27dkJKSAnt7e9FRiEgAXkKRgeLiYowfPx5mZmZwcnJCdnY2AEClUmHlypWC0xFRQ7BgwQJs2LBBU0QBQOfOnbF27Vp8+OGHApMR1V9s6iHSbyykZGDevHlQq9U4duwYTExMNOsDBgzAzp07BSYjooaC00GJiIhqFwspGdi9ezc2btyIPn36QKFQaNadnJyQmZkpMBkRNRTe3t4IDg7G2bNnNWvJycmYPHkyBgwYIDAZUf01f/58tGzZUnQMIhKEhZQM5OXlVTmZr6ioSKuwIiL6u7Zt24YXXngB7u7uMDY2hrGxMTw8PGBlZYWIiAjR8YjqpXnz5mmGtxCR/uFEAxlwd3fHvn37oFKpAEBTPEVERMDT01NkNCJqICwtLbF//35OByX6h8rLyxEVFYUff/wRf/zxh85h10ePHhWUjIjqGgspGVi+fDl8fX2Rnp6OsrIyhIeHIz09HadOnUJCQoLoeETUgHA6KNE/8/777yMqKgpDhw6Fs7MzO0eI9BjPkZKJK1euYMWKFVCr1SgsLISrqyvmzp2L7t27i45GRA1AcXExVCoVoqOjATw8t87e3h4qlQrW1tb44IMPBCckqh9at26NmJgYDBkyRHQUIhKM90gJVlpainHjxkGhUODzzz/Hzz//jPT0dPzXf/0XiygiqjWcDkpUOxo3boyOHTuKjkFEMsBCSjAjIyN8++23omMQUQPH6aBEtWPmzJkIDw/nGVJExHuk5MDPzw+7d+9GSEiI6ChE1EBxOihR7Thx4gTi4+Pxww8/wMnJCUZGRlrP79q1S1AyIqprLKRkwNHREWFhYTh58iTc3NzQpEkTreenTZsmKBkRNRScDkpUOywsLDB8+HDRMYhIBjhsQgbs7Oye+JxCocCVK1fqMA0RNUQnTpyAr68vxowZg6ioKAQHB2tNB3VzcxMdkYiIqF5hISUzlf852GpDRLWN00GJak9eXh4uXrwIAOjcuTMsLS0FJyKiusZhEzIRGRkJZ2dnmJiYwMTEBM7OzoiIiBAdi4gaAE4HJao9RUVFGDduHNq0aQMvLy94eXmhbdu2GD9+PIqLi0XHI6I6xEJKBkJDQ/H+++/jtddewzfffINvvvkGr732GkJCQhAaGio6HhHVc5wOSlR7ZsyYgYSEBHz33XcoKChAQUEB9uzZg4SEBMycOVN0PCKqQ2ztkwFLS0usX78e/v7+WutfffUVVCoVbt68KSgZETUUQUFB6NWrF6eDEv1DrVu3RlxcHPr166e1Hh8fj1GjRiEvL09MMCKqc5zaJwOlpaVwd3fXWXdzc0NZWZmARETU0HA6KFHtKC4uhpWVlc66Uqlkax+RnuGOlAyoVCoYGRlhzZo1WuuzZs1CSUkJNm3aJCgZETUUnA5KVDu8vb3RqlUrxMTEwMTEBABQUlKCoKAg5Ofn48iRI4ITElFdYSElAyqVCjExMbCxsUHv3r0BAImJicjOzkZgYKDWYX+PF1tERDXF6aBEf19aWhp8fHxw//599OzZEwCgVqthYmKCgwcPwsnJSXBCIqorLKRk4NVXX63W6xQKBY4ePfqc0xBRQxUZGYm1a9fi8uXLAB62+02fPh0TJkwQnIyofikuLsb27dtx4cIFAEDXrl0REBAAU1NTwcmIqC6xkCIi0gOhoaFYs2YNVCoVPD09AQCnT5/Gxo0bERISgrCwMMEJiYiI6hcWUkREeoDTQYn+vr1798LX1xdGRkbYu3fvU187bNiwOkpFRKKxkCIi0gMWFhZISkqCo6Oj1vqlS5fg4eGBgoICMcGI6gEDAwPcuHEDSqUSBgZPPoJToVCgvLy8DpMRkUg8kJeISA+8/fbb2Lx5s8761q1bERAQICARUf1RUVEBpVKp+fOTvlhEEekX7kgREekBTgclqh0xMTF48803YWxsrLX+4MEDxMbGIjAwUFAyIqprLKSIiPQAp4MS1Q5DQ0Pk5ORodqgq3bp1C0qlkrtSRHqkkegARET0/MXHx4uOQNQgSJJU5Rls165dQ/PmzQUkIiJRWEgRERERPYOLiwsUCgUUCgW8vb3RqNFfH6HKy8uRlZWFwYMHC0xIRHWNhRQRERHRM/j5+QEAUlJS4OPjA3Nzc81zjRs3hq2tLf79738LSkdEIvAeKSIiIqJqio6OxujRo3WGTRCR/uH4cyIiIqJq6tatG1JSUnTWExMTcebMmboPRETCsJAiIiIiqqYpU6bg6tWrOuvXr1/HlClTBCQiIlFYSBERERFVU3p6OlxdXXXWXVxckJ6eLiAREYnCQoqIiIiomoyNjZGbm6uznpOTozXJj4gaPhZSRERERNU0aNAgzJs3D3fu3NGsFRQUYP78+Rg4cKDAZERU1zi1j4iIiKiarl+/Di8vL9y6dQsuLi4AHo5Et7KywuHDh2FjYyM4IRHVFRZSRERERDVQVFSE7du3Q61Ww9TUFD169IC/vz+MjIxERyOiOsRCioiIiIiIqIZ4VyQRERHRU+zduxe+vr4wMjLC3r17n/raYcOG1VEqIhKNO1JERERET2FgYIAbN25AqVTCwODJc7oUCgXKy8vrMBkRicRCioiIiIiIqIY4/pyIiIiIiKiGeI8UERER0VOsX7++2q+dNm3ac0xCRHLC1j4iIiKip7Czs9N6nJeXh+LiYlhYWAB4eCCvmZkZlEolrly5IiAhEYnA1j4iIiKip8jKytJ8LVu2DL169UJGRgby8/ORn5+PjIwMuLq6YsmSJaKjElEd4o4UERERUTU5ODggLi4OLi4uWuvJyckYOXIksrKyBCUjorrGHSkiIiKiasrJyUFZWZnOenl5OXJzcwUkIiJRWEgRERERVZO3tzeCg4Nx9uxZzVpycjImT56MAQMGCExGRHWNhRQRERFRNW3btg0vvPAC3N3dYWxsDGNjY3h4eMDKygoRERGi4xFRHeI9UkREREQ1dOnSJVy4cAEA0KVLF3Tq1ElwIiKqazxHioiIiKiGbG1tIUkSHBwc0KgRP04R6SO29hERERFVU3FxMcaPHw8zMzM4OTkhOzsbAKBSqbBy5UrB6YioLrGQIiIiIqqmefPmQa1W49ixYzAxMdGsDxgwADt37hSYjIjqGveiiYiIiKpp9+7d2LlzJ3r37g2FQqFZd3JyQmZmpsBkRFTXuCNFREREVE15eXlQKpU660VFRVqFFRE1fCykiIiIiKrJ3d0d+/bt0zyuLJ4iIiLg6ekpKhYRCcDWPiIiIqJqWr58OXx9fZGeno6ysjKEh4cjPT0dp06dQkJCguh4RFSHuCNFREREVE19+vSBWq1GWVkZunfvjkOHDkGpVOL06dNwc3MTHY+I6hAP5CUiIiKqhtLSUgQHB2PBggWws7MTHYeIBOOOFBEREVE1GBkZ4dtvvxUdg4hkgoUUERERUTX5+flh9+7domMQkQxw2AQRERFRNTk6OiIsLAwnT56Em5sbmjRpovX8tGnTBCUjorrGe6SIiIiIqulp90YpFApcuXKlDtMQkUgspIiIiIj+hsqPUDyIl0g/8R4pIiIiohqIjIyEs7MzTExMYGJiAmdnZ0RERIiORUR1jPdIEREREVVTaGgo1qxZA5VKBU9PTwDA6dOnERISguzsbISFhQlOSER1ha19RERERNVkaWmJ9evXw9/fX2v9q6++gkqlws2bNwUlI6K6xtY+IiIiomoqLS2Fu7u7zrqbmxvKysoEJCIiUVhIEREREVXT22+/jc2bN+usb926FQEBAQISEZEobO0jIiIiqiaVSoWYmBjY2Nigd+/eAIDExERkZ2cjMDAQRkZGmteuWbNGVEwiqgMspIiIiIiq6dVXX63W6xQKBY4ePfqc0xCRSCykiIiIiIiIaoj3SBEREREREdUQCykiIiIiIqIaYiFFRERERERUQyykiIiIiIiIaoiFFBER6bV33nkHfn5+wv7+fv36Yfr06cL+fiIi+ntYSBERkey88847UCgUePfdd3WemzJlChQKBd55553nnuO3336DQqF46ldUVNRzz0FERPLDQoqIiGTJxsYGsbGxKCkp0azdu3cPO3bsQPv27essQ05OjuZr5syZcHJy0lp788036yQLERHJCwspIiKSJVdXV9jY2GDXrl2atV27dqF9+/ZwcXHRrFVUVGDFihWws7ODqakpevbsibi4OK3/rfPnz+Nf//oXmjVrhqZNm+KVV15BZmam1ms++eQTtGnTBq1atcKUKVNQWloKQ0NDvPDCC5ovc3NzNGrUSPO4RYsWmDt3LpRKJUxMTNCnTx8kJSVp/e8mJCTAw8MDxsbGaNOmDT744AOUlZU9h38xIiKqSyykiIhItsaNG4cvvvhC83jbtm0YO3as1mtWrFiBmJgYbNmyBefPn0dISAjGjBmDhIQEAMD169fh5eUFY2NjHD16FMnJyRg3bpxWMRMfH4/MzEzEx8cjOjoaUVFR1WrZmzNnDr799ltER0fj7Nmz6NixI3x8fJCfn6/5u4cMGYIXX3wRarUamzdvRmRkJJYuXVoL/zpERCRSI9EBiIiInmTMmDGYN28efv/9dwDAyZMnERsbi2PHjgEA7t+/j+XLl+PIkSPw9PQEANjb2+PEiRP47LPP0LdvX2zatAnNmzdHbGwsjIyMAACdOnXS+ntatGiBjRs3wtDQEF26dMHQoUPx448/YuLEiU/MVlRUhM2bNyMqKgq+vr4AgM8//xyHDx9GZGQkZs+ejU8//RQ2NjbYuHEjFAoFunTpgv/93//F3LlzERoaCgMDXs8kIqqvWEgREZFsWVpaYujQoYiKioIkSRg6dChat26tef7XX39FcXExBg4cqPX/9+DBA037X0pKCl555RVNEVUVJycnGBoaah63adMGv/zyy1OzZWZmorS0FC+//LJmzcjICB4eHsjIyAAAZGRkwNPTEwqFQvOal19+GYWFhbh27Vqd3etFRES1j4UUERHJ2rhx4zB16lQAwKZNm7SeKywsBADs27cP1tbWWs8ZGxsDAExNTZ/5dzxeZCkUClRUVPztzERE1PCxp4CIiGRt8ODBePDgAUpLS+Hj46P1XLdu3WBsbIzs7Gx07NhR68vGxgYA0KNHDxw/fhylpaW1msvBwQGNGzfGyZMnNWulpaVISkpCt27dAABdu3bF6dOnIUmS5jUnT55E06ZN0a5du1rNQ0REdYuFFBERyZqhoSEyMjKQnp6u1X4HAE2bNsWsWbMQEhKC6OhoZGZm4uzZs9iwYQOio6MBAFOnTsWff/6J0aNH48yZM7h8+TK+/PJLXLx48R/latKkCSZPnozZs2fjwIEDSE9Px8SJE1FcXIzx48cDAN577z1cvXoVKpUKFy5cwJ49e7Bw4ULMmDGD90cREdVzbO0jIiLZa9as2ROfW7JkCSwtLbFixQpcuXIFFhYWcHV1xfz58wEArVq1wtGjRzF79mz07dsXhoaG6NWrl9a9TX/XypUrUVFRgbfffht3796Fu7s7Dh48iBYtWgAArK2tsX//fsyePRs9e/ZEy5YtMX78eHz44Yf/+O8mIiKxFNKj/QZERERERET0TOwrICIiIiIiqiEWUkRERERERDXEQoqIiIiIiKiGWEgRERERERHVEAspIiIiIiKiGmIhRUREREREVEMspIiIiIiIiGqIhRQREREREVENsZAiIiIiIiKqIRZSRERERERENcRCioiIiIiIqIb+PwQ693zaw3EwAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Market with the highest number of trades: 0xd86896e9c34582737dc6c910ada3b6df0a5f8301 (7 trades)\n"
+     ]
+    }
+   ],
    "source": [
     "# Display count by state\n",
     "result_counts = df['result'].value_counts()\n",
@@ -251,9 +554,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Market with max. outcomeTokensTraded \n",
+      "0xe7192c9e0c013b1a355b780959c30c399a5c6ff30x3c01b79bad670a37c8784bdf47b973b341064f100x2e1\n",
+      "14.75095504900555\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Market with max. collateralAmount \n",
+      "0xce500294704e1243b5cb69a258196c0b1c65a7530x3c01b79bad670a37c8784bdf47b973b341064f100x29f\n",
+      "10.0\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1600x400 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1600x400 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Plot histogram\n",
     "plt.figure(figsize=(10, 6))\n",
@@ -297,9 +659,50 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1600x400 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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Ds9VWW+XZZ5/N2WefnQMOOCC77rprg9QKAAA1NXfhonQ+bPTal00eX6+1AAAANEYb1NRoKA888EDefPPNfOUrX6kyv7y8PA888EDGjx+fpUuXpnv37jnmmGPy7W9/u4EqBQAAAAAA6kpJNDUOOeSQFAqFNeZ3794906dPb4CKAAAAAACA+taioQsAAAAAAABYH5oaAAAAAABASSiJy08BQGM1fNRpmbtw0Rrzu3Vsn4k3/7j+CwIAAABowjQ1AGAjzF24KJ0PG73m/Mnj670WAAAAgKbO5acAAAAAAICSoKkBAAAAAACUBE0NAAAAAACgJGhqAAAAAAAAJUFTAwAAAAAAKAmtGroAAICmYvio0zJ34aK1LuvWsX0m3vzj+i0IAAAAmhhNDQCAWjJ34aJ0Pmz02pdNHl+vtQAAAEBT5PJTAAAAAABASdDUAAAAAAAASoKmBgAAAAAAUBI0NQAAAAAAgJLgRuEA9WD4qNMyd+GiNeZ369g+E2/+cf0XBAAAAAAlSFMDoB7MXbgonQ8bveb8yePrvRYAAAAAKFUuPwUAAAAAAJQETQ0AAAAAAKAkaGoAAAAAAAAlwT01AKDEuRE91I7qfpYSP08AAACNhaYGAJQ4N6KH2lHdz1Li5wkAAKCxcPkpAAAAAACgJDhTAwCAWuUyTgAAANQVTQ0AAGqVyzgBAABQVzQ1gEbHTY8BoGF5LwYAABorTQ2g0XHTYwBoWN6LAQCAxsqNwgEAAAAAgJLgTA0AAGii3LQdAABoahr1mRqXXHJJysrKqkw77rhj5fIPPvggZ5xxRrbaaqtsscUWOeaYY7JgwYIGrBgAABqP1ZeRWttUXbMDAACgMWvUTY0k2XnnnTNv3rzK6c9//nPlsrPPPjv/8z//kzvuuCPTp0/P3Llzc/TRRzdgtQAAAAAAQF1p9JefatWqVbp06bLG/HfeeSc333xzbr/99hx00EFJkltvvTU77bRTHnvssXzuc5+r71IBAAAAAIA61OibGq+88kq6deuWTTfdNH379s3YsWPz6U9/Ok899VSWL1+eQYMGVa6744475tOf/nRmzJixzqbGsmXLsmzZssrHixcvrtNjAKDhyX6A5kn+AzQ/sh+gaWvUTY0+ffpkwoQJ2WGHHTJv3rxceuml2X///fP8889n/vz5KS8vT/v27ats07lz58yfP3+d+x07dmwuvfTSOqwcgMZG9kPTVN2NsN0Em9XkP0DzI/sBmrZG3dQYMmRI5b933XXX9OnTJ9tss01+/etfZ7PNNqvxfi+44IKMGTOm8vHixYvTvXv3jaoVaFr8kazpkf3QNK2+EfYa8yePr/daaJzkP0DzI/sBmrZG3dT4uPbt26dXr16ZPXt2Dj744Hz44YdZtGhRlbM1FixYsNZ7cPxfFRUVqaioqONqgVLmj2RNj+wHaJ7kP0DzI/sBmraSamosWbIkc+bMyYknnpi99torm2yySR588MEcc8wxSZJZs2blzTffTN++fRu4UgBoXpzdBAAAANSHRt3UOPfcc3P44Ydnm222ydy5c3PxxRenZcuWOeGEE9KuXbuMGjUqY8aMSYcOHdK2bdt8/etfT9++fdd5k3AAoPY5uwkAAACoD426qfGPf/wjJ5xwQv71r3+lY8eO2W+//fLYY4+lY8eOSZLvf//7adGiRY455pgsW7Yshx56aG688cYGrhoAAAAAAKgLjbqpMWnSpHUu33TTTXPDDTfkhhtuqKeKAAAAAACAhtKioQsAAAAAAABYH5oaAAAAAABASdDUAAAAAAAASoKmBgAAAAAAUBI0NQAAAAAAgJKgqQEAAAAAAJQETQ0AAAAAAKAkaGoAAAAAAAAlQVMDAAAAAAAoCZoaAAAAAABASdDUAAAAAAAASoKmBgAAAAAAUBI0NQAAAAAAgJKgqQEAAAAAAJQETQ0AAAAAAKAkaGoAAAAAAAAlQVMDAAAAAAAoCa0augAAAACgeRo+6rTMXbhorcu6dWyfiTf/uH4LAgAaPU0NAAAAoEHMXbgonQ8bvfZlk8fXay0AQGlw+SkAAAAAAKAkaGoAAAAAAAAlQVMDAAAAAAAoCZoaAAAAAABASdDUAAAAAAAASoKmBgAAAAAAUBI0NQAAAAAAgJLQqqELAACgYQ0fdVrmLly01mXdOrbPxJt/XL8FAQAAQDU0NQAAmrm5Cxel82Gj175s8vh6rQUAAADWRVMDAACgxDjDCgCA5qpR31Nj7Nix2WeffdKmTZt06tQpRx11VGbNmlVlnf79+6esrKzK9LWvfa2BKgYAAKh7q8+wWttUXbMDAACagkbd1Jg+fXrOOOOMPPbYY7n//vuzfPnyHHLIIVm6dGmV9U455ZTMmzevcho3blwDVQwAAAAAANSVRn35qSlTplR5PGHChHTq1ClPPfVUDjjggMr5rVu3TpcuXeq7PKARcQkGSonXKwAAAEDNNOqmxse98847SZIOHTpUmT9x4sTcdttt6dKlSw4//PBcdNFFad26dbX7WbZsWZYtW1b5ePHixXVTMFBv3OSWT9KYst/rFaD+NKb8B6B+yH6Apq1kmhqrVq3K6NGj069fv+yyyy6V87/0pS9lm222Sbdu3fLss8/mm9/8ZmbNmpU777yz2n2NHTs2l156aX2UDUAjIfsB6lZ1Z6E19Blo8h+g+ZH9AE1byTQ1zjjjjDz//PP585//XGX+qaeeWvnv3r17p2vXrhk4cGDmzJmT7bfffq37uuCCCzJmzJjKx4sXL0737t3rpnAAGgXZD1C3qjsLraHPQJP/AM2P7Ado2kqiqXHmmWdm8uTJefjhh/OpT31qnev26dMnSTJ79uxqmxoVFRWpqKio9ToBaLxkP0DzJP8Bmh/ZD9C0NeqmRqFQyNe//vXcddddmTZtWrbddttP3GbmzJlJkq5du9ZxdTQ1jfWSCQAAwNpV9xk+8TkeAKCpatRNjTPOOCO33357fve736VNmzaZP39+kqRdu3bZbLPNMmfOnNx+++0ZOnRottpqqzz77LM5++yzc8ABB2TXXXdt4OopNY31kgkAAMDaVfcZPvE5HgCgqWrUTY0f/ehHSZL+/ftXmX/rrbdm5MiRKS8vzwMPPJDx48dn6dKl6d69e4455ph8+9vfboBqAQAAAACAutSomxqFQmGdy7t3757p06fXUzUAAACs5tJPNBVeywBQWhp1UwMAAIDGyaWfaCq8lgGgtGhqAAAAANSS6s78cNYHANQOTQ0AAACAWlLdmR/rOuvDJbAAYP1pagAAAAA0IJfAAoD1p6kBjYjTlAHqV2P4VmRjqAGAjeNzPABA/dHUgEakJqcpA1BzjeFbkY2hBgA2js/xAAD1R1MDAABgAzjDCgAAGo6mBgAAwAZwhhUAADScFg1dAAAAAAAAwPpwpgZQp9w0EQAAoH75PQyApkxTA6hTbpoIAABQv/weBkBT5vJTAAAAAABASXCmRjNX3SmpidNSAQAA6kpjuDxQbddQX8fk99i6YVwBKBWaGs1cdaekJk5LBQAAqCuN4fJAtV1DfR2T32PrhnEFoFS4/BQAAAAAAFASnKkBAABAs9IYLv0EAEDNaGoAAADQrDSGSz8BAFAzLj8FAAAAAACUBGdqAFU4FR+oL9XlTSJzgKbJ5ywAANh4mhpAFU7FB+pLdXmTyBygafI5CwAANp7LTwEAAAAAACVBUwMAAAAAACgJmhoAAAAAAEBJcE8NAGiG3KQbAICN5TMlAA1BUwMAmiE36QYAYGP5TAlAQ9DUoFGo7tsdvtkBAPztpRcz4Ihha10265XZ6VzP9UAp87kbAIBSp6lBo1Ddtzt8swMAWF5oUe23QJ8b97X6LQZKXGP43K2xAgDAxtDUAAAAoN40hsYKAAClS1MDAOqAy+UAAAAA1L4m09S44YYbctVVV2X+/PnZbbfdcv3112ffffdt6LIAaKZcLgcAAACg9jWJpsavfvWrjBkzJjfddFP69OmT8ePH59BDD82sWbPSqVOnhi6v2m/r+qZu6avuesD+b6lr1eWKa1FD81Dd+08iBwAAAGjamkRT49prr80pp5ySk08+OUly00035d57780tt9ySb33rWw1cXfXf1vVN3Y3TGBoK1V0P2P9t3XA5n49UlyuuRd10reuP2LX9+tc0a/yqe/9J1p0DjeG9s76s6z2jtl/LNRlXX3qhqavJ57b6/LltTurzM0Rtk5UAwNqUfFPjww8/zFNPPZULLrigcl6LFi0yaNCgzJgxY63bLFu2LMuWLat8/M477yRJFi9eXOM6VixfnuXvL13rslWrVq51WXXzV+9vQ+tZVw3V7a8m29R2Devabl3bvDl3YToNPn2N+R88P7reaqhum5r+39akhtpW2zXU5rguW1lIh4GnrHWbmv6/V6cxj0NS/Wusvl7j69qutnPl49q0aZOysrIN3q4usj+pWQ7UJCOqy7yk+td/Tf9vq/tZe3PKjQ3++lqXxvB6ra8aalp3bb93Vqe2j6kmP0/res+o7rVcn+NaXX2N4f9iXds15OeYxpT/9TmupVpDTT631efPbWP+rFfbn/1r+zPEutT254HGnpUbur/G8LnIZ//6+b0agI3ziflfKHH//Oc/C0kKjz76aJX55513XmHfffdd6zYXX3xxIYnJZDKZSnB65513avR+IftNJpOptCf5bzKZTM1vkv0mk8nUPKdPyv+yQqFQSAmbO3du/uM//iOPPvpo+vbtWzn//PPPz/Tp0/P444+vsc3HO/arVq3K22+/na222qpG3wBYvHhxunfvnr///e9p27ZtzQ6kCTAORcbhI8aiyDgU1dY41Na3tTY2+xP/t6sZhyLjUGQcioxDUW2OQ2PJf/+3RcbhI8aiyDgUGYcin/2bLuNQZByKjEORcSiqz8/+JX/5qa233jotW7bMggULqsxfsGBBunTpstZtKioqUlFRUWVe+/btN7qWtm3bNusX7mrGocg4fMRYFBmHooYah7rK/sT/7WrGocg4FBmHIuNQ1JDj4LN/3TIOHzEWRcahyDgU+ezfdBmHIuNQZByKjENRfYxDizrdez0oLy/PXnvtlQcffLBy3qpVq/Lggw9WOXMDAAAAAAAobSV/pkaSjBkzJiNGjMjee++dfffdN+PHj8/SpUtz8sknN3RpAAAAAABALWkSTY1hw4Zl4cKF+c53vpP58+dn9913z5QpU9K5c+d6ef6KiopcfPHFa5za2NwYhyLj8BFjUWQcipriODTFY6oJ41BkHIqMQ5FxKGqK49AUj6kmjMNHjEWRcSgyDkVNcRya4jHVhHEoMg5FxqHIOBTV5ziU/I3CAQAAAACA5qHk76kBAAAAAAA0D5oaAAAAAABASdDUAAAAAAAASoKmBgAAAAAAUBI0NdbTDTfckB49emTTTTdNnz598sQTT6xz/TvuuCM77rhjNt100/Tu3Tv33XdfPVVatzZkHH76059m//33z5Zbbpktt9wygwYN+sRxKxUb+npYbdKkSSkrK8tRRx1VtwXWkw0dh0WLFuWMM85I165dU1FRkV69ejXLn40kGT9+fHbYYYdsttlm6d69e84+++x88MEH9VRt7Xv44Ydz+OGHp1u3bikrK8vdd9/9idtMmzYte+65ZyoqKvKZz3wmEyZMqPM6a0L+F8n/IvlfJP+Lmnv2J003/2V/kewvkv0fkf9FzT3/m2r2J/J/NflfJP+LZH9Rc8/+pJHlf4FPNGnSpEJ5eXnhlltuKbzwwguFU045pdC+ffvCggUL1rr+I488UmjZsmVh3LhxhRdffLHw7W9/u7DJJpsUnnvuuXquvHZt6Dh86UtfKtxwww2FZ555pvDSSy8VRo4cWWjXrl3hH//4Rz1XXrs2dBxWe+211wr/8R//Udh///0LRx55ZP0UW4c2dByWLVtW2HvvvQtDhw4t/PnPfy689tprhWnTphVmzpxZz5XXvg0di4kTJxYqKioKEydOLLz22muFP/zhD4WuXbsWzj777HquvPbcd999hQsvvLBw5513FpIU7rrrrnWu/+qrrxZat25dGDNmTOHFF18sXH/99YWWLVsWpkyZUj8Fryf5XyT/i+R/kfwvkv1FTTH/ZX+R7C+S/R+R/0Xyv2lmf6Eg/1eT/0Xyv0j2F8n+osaU/5oa62HfffctnHHGGZWPV65cWejWrVth7Nixa13/uOOOK3zhC1+oMq9Pnz6F0047rU7rrGsbOg4ft2LFikKbNm0KP//5z+uqxHpRk3FYsWJF4fOf/3zhZz/7WWHEiBFN4o1tQ8fhRz/6UWG77bYrfPjhh/VVYr3Z0LE444wzCgcddFCVeWPGjCn069evTuusL+vzxnb++ecXdt555yrzhg0bVjj00EPrsLINJ/+L5H+R/C+S/0Wyf01NJf9lf5HsL5L9H5H/RfK/qqaS/YWC/F9N/hfJ/yLZXyT719TQ+e/yU5/gww8/zFNPPZVBgwZVzmvRokUGDRqUGTNmrHWbGTNmVFk/SQ499NBq1y8FNRmHj3vvvfeyfPnydOjQoa7KrHM1HYfLLrssnTp1yqhRo+qjzDpXk3G455570rdv35xxxhnp3Llzdtlll1xxxRVZuXJlfZVdJ2oyFp///Ofz1FNPVZ6q+Oqrr+a+++7L0KFD66XmxqAUclL+F8n/IvlfJP+LZH/NNfaclP1Fsr9I9n9E/hfJ/5ophZyU/0Xyv0j+F8n+Itlfc3WZk602eg9N3P/+7/9m5cqV6dy5c5X5nTt3zt/+9re1bjN//vy1rj9//vw6q7Ou1WQcPu6b3/xmunXrtsaLuZTUZBz+/Oc/5+abb87MmTProcL6UZNxePXVV/PQQw9l+PDhue+++zJ79uycfvrpWb58eS6++OL6KLtO1GQsvvSlL+V///d/s99++6VQKGTFihX52te+lv/v//v/6qPkRqG6nFy8eHHef//9bLbZZg1U2Ufkf5H8L5L/RfK/SPbXXGPPf9lfJPuLZP9H5H+R/K+Zxp79ifxfTf4Xyf8i2V8k+2uuLvPfmRrUiyuvvDKTJk3KXXfdlU033bShy6k37777bk488cT89Kc/zdZbb93Q5TSoVatWpVOnTvnJT36SvfbaK8OGDcuFF16Ym266qaFLq3fTpk3LFVdckRtvvDFPP/107rzzztx77725/PLLG7o0qHXyX/7L/yLZT3Mi+2V/Iv9Xk/80J/Jf/sv+Itlf95yp8Qm23nrrtGzZMgsWLKgyf8GCBenSpctat+nSpcsGrV8KajIOq1199dW58sor88ADD2TXXXetyzLr3IaOw5w5c/L666/n8MMPr5y3atWqJEmrVq0ya9asbL/99nVbdB2oyeuha9eu2WSTTdKyZcvKeTvttFPmz5+fDz/8MOXl5XVac12pyVhcdNFFOfHEE/PVr341SdK7d+8sXbo0p556ai688MK0aNH0+83V5WTbtm0bxTe1Evm/mvwvkv9F8r9I9tdcY89/2V8k+4tk/0fkf5H8r5nGnv2J/F9N/hfJ/yLZXyT7a64u8795jOBGKC8vz1577ZUHH3ywct6qVavy4IMPpm/fvmvdpm/fvlXWT5L777+/2vVLQU3GIUnGjRuXyy+/PFOmTMnee+9dH6XWqQ0dhx133DHPPfdcZs6cWTkdccQRGTBgQGbOnJnu3bvXZ/m1piavh379+mX27NmVb+xJ8vLLL6dr164l+aa2Wk3G4r333lvjDWz1G37xXktNXynkpPwvkv9F8r9I/hfJ/ppr7Dkp+4tkf5Hs/4j8L5L/NVMKOSn/i+R/kfwvkv1Fsr/m6jQnN/pW483ApEmTChUVFYUJEyYUXnzxxcKpp55aaN++fWH+/PmFQqFQOPHEEwvf+ta3Ktd/5JFHCq1atSpcffXVhZdeeqlw8cUXFzbZZJPCc88911CHUCs2dByuvPLKQnl5eeE3v/lNYd68eZXTu+++21CHUCs2dBw+bsSIEYUjjzyynqqtOxs6Dm+++WahTZs2hTPPPLMwa9aswuTJkwudOnUqfPe7322oQ6g1GzoWF198caFNmzaFX/7yl4VXX3218Mc//rGw/fbbF4477riGOoSN9u677xaeeeaZwjPPPFNIUrj22msLzzzzTOGNN94oFAqFwre+9a3CiSeeWLn+q6++WmjdunXhvPPOK7z00kuFG264odCyZcvClClTGuoQ1kr+F8n/IvlfJP+LZH9RU8x/2V8k+4tk/0fkf5H8b5rZXyjI/9Xkf5H8L5L9RbK/qDHlv6bGerr++usLn/70pwvl5eWFfffdt/DYY49VLjvwwAMLI0aMqLL+r3/960KvXr0K5eXlhZ133rlw77331nPFdWNDxmGbbbYpJFljuvjii+u/8Fq2oa+H/6upvLEVChs+Do8++mihT58+hYqKisJ2221X+K//+q/CihUr6rnqurEhY7F8+fLCJZdcUth+++0Lm266aaF79+6F008/vfDvf/+7/guvJVOnTl3rz/vq4x4xYkThwAMPXGOb3XffvVBeXl7YbrvtCrfeemu9170+5H+R/C+S/0Xyv6i5Z3+h0HTzX/YXyf4i2f8R+V/U3PO/qWZ/oSD/V5P/RfK/SPYXNffsLxQaV/6XFQrN6JwXAAAAAACgZLmnBgAAAAAAUBI0NQAAAAAAgJKgqQEAAAAAAJQETQ0AAAAAAKAkaGoAAAAAAAAlQVMDAAAAAAAoCZoaAAAAAABASdDUAAAAAAAASoKmBgAAAAAAUBI0NQAAAAAAgJKgqQEAAAAAAJQETQ1oZPr3758zzzwzZ555Ztq1a5ett946F110UQqFwjq3u+yyy7LLLrusMX/33XfPRRddVPn4Zz/7WXbaaadsuumm2XHHHXPjjTdWLvvwww9z5plnpmvXrtl0002zzTbbZOzYsbV3cACslewHaJ7kP0DzJP9hIxWARuXAAw8sbLHFFoVvfOMbhb/97W+F2267rdC6devCT37yk3Vu9/e//73QokWLwhNPPFE57+mnny6UlZUV5syZUygUCoXbbrut0LVr18Jvf/vbwquvvlr47W9/W+jQoUNhwoQJhUKhULjqqqsK3bt3Lzz88MOF119/vfCnP/2pcPvtt9fdwQJQKBRkP0BzJf8Bmif5DxunrFD4hBYgUK/69++ft956Ky+88ELKysqSJN/61rdyzz335MUXX1zntkOHDk2PHj0qO/BnnXVWnnvuuUydOjVJ8pnPfCaXX355TjjhhMptvvvd7+a+++7Lo48+mrPOOisvvPBCHnjggcrnBqDuyX6A5kn+AzRP8h82jqYGNDL9+/fPdtttl1tuuaVy3u9+97sce+yx+eCDD9KyZctqt73rrrvyla98JfPmzUuLFi3SrVu3fP/738+JJ56YpUuXZosttshmm22WFi0+uvLcihUr0q5duyxYsCBPP/10Dj744Gy11VYZPHhwDjvssBxyyCF1erwAyH6A5kr+AzRP8h82TquGLgCoPYcffngqKipy1113pby8PMuXL8+xxx6bJFmyZEmS5Kc//Wn69OlTZbvVb5Z77rlnXnvttfz+97/PAw88kOOOOy6DBg3Kb37zm/o9EADWm+wHaJ7kP0DzJP9BUwMapccff7zK48ceeyw9e/ZcZ6c+SVq1apURI0bk1ltvTXl5eY4//vhsttlmSZLOnTunW7duefXVVzN8+PBq99G2bdsMGzYsw4YNy7HHHpvBgwfn7bffTocOHTb+wAColuwHaJ7kP0DzJP+h5jQ1oBF68803M2bMmJx22ml5+umnc/311+eaa65Zr22/+tWvZqeddkqSPPLII1WWXXrppTnrrLPSrl27DB48OMuWLcuTTz6Zf//73xkzZkyuvfbadO3aNXvssUdatGiRO+64I126dEn79u1r+xAB+BjZD9A8yX+A5kn+Q81pakAjdNJJJ+X999/Pvvvum5YtW+Yb3/hGTj311PXatmfPnvn85z+ft99+e41TDb/61a+mdevWueqqq3Leeedl8803T+/evTN69OgkSZs2bTJu3Li88soradmyZfbZZ5/cd999Va7DCEDdkP0AzZP8B2ie5D/UnBuFQyPTv3//7L777hk/fnyNti8UCunZs2dOP/30jBkzpnaLA6BOyH6A5kn+AzRP8h82jjM1oAlZuHBhJk2alPnz5+fkk09u6HIAqAeyH6B5kv8AzZP8B00NKBl/+tOfMmTIkGqXL1myJJ06dcrWW2+dn/zkJ9lyyy3rsToA6oLsB2ie5D9A8yT/Yf24/BSUiPfffz///Oc/q13+mc98ph6rAaA+yH6A5kn+AzRP8h/Wj6YGAAAAAABQEtzWHgAAAAAAKAmaGgAAAAAAQEnQ1AAAAAAAAEqCpgYAAAAAAFASNDUAAAAAAICSoKkBAAAAAACUBE0NAAAAAACgJPz/AAyjg2MiJCESAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1600x400 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "\n",
     "# Plot histogram of confidence (total)\n",
@@ -335,9 +738,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "\n",
     "\n",

From 87dd2de87353b33250bf99834dcb634fc51809c5 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Tue, 17 Sep 2024 13:24:44 +0200
Subject: [PATCH 28/36] chore: update notebook

---
 notebooks/roi_analysis.ipynb | 390 ++---------------------------------
 1 file changed, 17 insertions(+), 373 deletions(-)

diff --git a/notebooks/roi_analysis.ipynb b/notebooks/roi_analysis.ipynb
index 1ad092d..3b3f07b 100644
--- a/notebooks/roi_analysis.ipynb
+++ b/notebooks/roi_analysis.ipynb
@@ -7,8 +7,8 @@
     "# Trader ROI analysis notebook\n",
     "\n",
     "## How to run this notebook\n",
-    "1. Clone locally trader quickstart repository https://github.com/valory-xyz/trader-quickstart (branch main)\n",
-    "2. Clone locally market creator repository https://github.com/valory-xyz/market-creator (branch feat/roi_analysis). The rest of the steps occur on the market creator repository.\n",
+    "1. Clone locally trader quickstart repository https://github.com/valory-xyz/trader-quickstart.\n",
+    "2. Clone locally market creator repository https://github.com/valory-xyz/market-creator. The rest of the steps occur on the market creator repository.\n",
     "3. Poetry install\n",
     "    ```bash\n",
     "    cd market-creator\n",
@@ -41,7 +41,7 @@
     "    If you are collecting a lot of data, it might take a while to generate the dataset, and you might need to run the scripts multiple times, due to network errors.\n",
     "    As a result of this step you should end with a file called `roi_analysis_dataset_<service_id>.json`\n",
     "\n",
-    "7. Edit the cell of this notebook with the required data\n",
+    "7. Edit the cell of this notebook with the required data:\n",
     "\n",
     "    ```python\n",
     "    # Edit these parameters accordingly\n",
@@ -120,75 +120,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "service_id=335\n",
-      "service_safe_address='0x3c01B79BaD670A37C8784bDf47b973b341064f10'\n",
-      "service_id=335\n",
-      "service_safe_address='0x3c01B79BaD670A37C8784bDf47b973b341064f10'\n",
-      "0x3c01b79bad670a37c8784bdf47b973b341064f10\n",
-      "          Fetching requests...\n",
-      "          16569 requests found\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "             Fetching delivers: 100%|██████████| 1/1 [00:03<00:00,  3.39s/it]\n",
-      "    Finding duplicate delivers: 100%|██████████| 16569/16569 [00:00<00:00, 116791.96it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Duplicate deliver ids found: 0\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      " Processing duplicate delivers: 0it [00:00, ?it/s]\n",
-      "    Finding duplicate delivers: 100%|██████████| 16569/16569 [00:00<00:00, 677019.97it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Duplicate deliver ids found: 0\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "        Fetching IPFS contents: 0it [00:00, ?it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Time of execution: 0:00:29.735739\n",
-      "Populating mech requests...\n",
-      "Populating market states...\n",
-      "Finished generating datasets for service 335\n",
-      "\n",
-      "Finished reading dataset:\n",
-      "  - 2775 trades\n",
-      "  - 16569 mech requests\n",
-      "  - 13794 outstanding mech requests\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "service_safe_address = get_service_safe(service_id)\n",
     "\n",
@@ -209,98 +143,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>id</th>\n",
-       "      <th>outcomeTokensTraded</th>\n",
-       "      <th>fpmm.state</th>\n",
-       "      <th>result</th>\n",
-       "      <th>mechTool</th>\n",
-       "      <th>deliver.confidence</th>\n",
-       "      <th>deliver.p_yes</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <td>0x47feda1a124caec341d8f60e5d524c77a76545a10x3c01b79bad670a37c8784bdf47b973b341064f100x1</td>\n",
-       "      <td>0.286803</td>\n",
-       "      <td>closed</td>\n",
-       "      <td>Win</td>\n",
-       "      <td>prediction-online-sme</td>\n",
-       "      <td>0.8</td>\n",
-       "      <td>0.15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>0x02b29b4025d4bc4a93a24304a5bebaa930cd53e10x3c01b79bad670a37c8784bdf47b973b341064f100x2</td>\n",
-       "      <td>0.203868</td>\n",
-       "      <td>closed</td>\n",
-       "      <td>Win</td>\n",
-       "      <td>prediction-online-sme</td>\n",
-       "      <td>0.8</td>\n",
-       "      <td>0.30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>0x703667dcd2860823fdcdabe4ed0b337efc17ab100x3c01b79bad670a37c8784bdf47b973b341064f100x3</td>\n",
-       "      <td>0.214452</td>\n",
-       "      <td>closed</td>\n",
-       "      <td>Win</td>\n",
-       "      <td>prediction-online-sme</td>\n",
-       "      <td>0.8</td>\n",
-       "      <td>0.30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>0x703667dcd2860823fdcdabe4ed0b337efc17ab100x3c01b79bad670a37c8784bdf47b973b341064f100x5d</td>\n",
-       "      <td>0.226488</td>\n",
-       "      <td>closed</td>\n",
-       "      <td>Win</td>\n",
-       "      <td>prediction-online-sme</td>\n",
-       "      <td>0.8</td>\n",
-       "      <td>0.30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>0x9a2e0a075256fd2f21dfe8bbf1af7fdcd45b70f10x3c01b79bad670a37c8784bdf47b973b341064f100x4</td>\n",
-       "      <td>0.213473</td>\n",
-       "      <td>closed</td>\n",
-       "      <td>Win</td>\n",
-       "      <td>prediction-online-sme</td>\n",
-       "      <td>0.8</td>\n",
-       "      <td>0.30</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Index(['collateralAmount', 'collateralAmountUSD', 'collateralToken',\n",
-      "       'creationTimestamp', 'feeAmount', 'id', 'mechRequestId',\n",
-      "       'oldOutcomeTokenMarginalPrice', 'outcomeIndex',\n",
-      "       'outcomeTokenMarginalPrice', 'outcomeTokensTraded', 'result', 'title',\n",
-      "       'transactionHash', 'type', 'creator.id',\n",
-      "       'fpmm.answerFinalizedTimestamp', 'fpmm.arbitrationOccurred',\n",
-      "       'fpmm.condition.id', 'fpmm.currentAnswer', 'fpmm.id',\n",
-      "       'fpmm.isPendingArbitration', 'fpmm.openingTimestamp', 'fpmm.outcomes',\n",
-      "       'fpmm.state', 'fpmm.title', 'mechTool', 'deliver.confidence',\n",
-      "       'deliver.p_yes'],\n",
-      "      dtype='object')\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Transform to a Dataframe\n",
     "\n",
@@ -331,51 +176,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Total trades: 2775\n",
-      "Start date: 2024-03-01T00:00:01Z\n",
-      "End date: 2024-09-16T23:59:59Z\n",
-      "Filtered by date: 2775\n",
-      "Filtered by state: 2721\n",
-      "\n",
-      "Total outstanding mech requests: 13794\n",
-      "Filtered by date: 13794\n",
-      "\n",
-      "Summary of period 2024-03-01T00:00:01Z - 2024-09-16T23:59:59Z\n",
-      "-------------------------------------------------------------\n",
-      "Total trades:     2721\n",
-      "counts:\n",
-      "result\n",
-      "Win        1370\n",
-      "Lose       1030\n",
-      "Invalid     321\n",
-      "Unknown       0\n",
-      "Name: count, dtype: int64\n",
-      "\n",
-      "collateralAmount:\n",
-      "result\n",
-      "Win        669.925229\n",
-      "Lose       420.143946\n",
-      "Invalid    115.394206\n",
-      "Unknown      0.000000\n",
-      "Name: collateralAmount, dtype: float64\n",
-      "investment= 1205.4633803753843\n",
-      "market_fees= 24.109267607507682\n",
-      "mech_fees= 27.21\n",
-      "outstanding_mech_fees= 137.94\n",
-      "win_earnings= 1118.4334728628808\n",
-      "invalid_earnings= 115.39420550288135\n",
-      "\n",
-      "roi=-0.1153598314688754\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Filter dataset\n",
     "\n",
@@ -445,57 +248,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Market with the highest number of trades: 0xd86896e9c34582737dc6c910ada3b6df0a5f8301 (7 trades)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Display count by state\n",
     "result_counts = df['result'].value_counts()\n",
@@ -554,68 +309,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Market with max. outcomeTokensTraded \n",
-      "0xe7192c9e0c013b1a355b780959c30c399a5c6ff30x3c01b79bad670a37c8784bdf47b973b341064f100x2e1\n",
-      "14.75095504900555\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Market with max. collateralAmount \n",
-      "0xce500294704e1243b5cb69a258196c0b1c65a7530x3c01b79bad670a37c8784bdf47b973b341064f100x29f\n",
-      "10.0\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1600x400 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
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-      "text/plain": [
-       "<Figure size 1600x400 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Plot histogram\n",
     "plt.figure(figsize=(10, 6))\n",
@@ -659,50 +355,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1600x400 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1600x400 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "# Plot histogram of confidence (total)\n",
@@ -738,20 +393,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "\n",

From eeee99dc1582a9137ce87f68c4cacf5f8e589f1e Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Tue, 17 Sep 2024 13:30:44 +0200
Subject: [PATCH 29/36] chore: update notebook

---
 notebooks/roi_analysis.ipynb | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/notebooks/roi_analysis.ipynb b/notebooks/roi_analysis.ipynb
index 3b3f07b..eaffbfe 100644
--- a/notebooks/roi_analysis.ipynb
+++ b/notebooks/roi_analysis.ipynb
@@ -35,7 +35,7 @@
     "6. The first time you want to run an analysis for a service, it’s recommended that you create the dataset outside the notebook as follows:\n",
     "    \n",
     "    ```bash\n",
-    "    python generate_roi_analysis_dataset.py 327\n",
+    "    python generate_roi_analysis_dataset.py 219\n",
     "    ```\n",
     "\n",
     "    If you are collecting a lot of data, it might take a while to generate the dataset, and you might need to run the scripts multiple times, due to network errors.\n",
@@ -45,7 +45,7 @@
     "\n",
     "    ```python\n",
     "    # Edit these parameters accordingly\n",
-    "    service_id = 335\n",
+    "    service_id = 219\n",
     "    start_date_str = \"2024-03-01T00:00:01Z\"\n",
     "    end_date_str = \"2024-09-16T23:59:59Z\"\n",
     "    ```\n",
@@ -113,7 +113,7 @@
    "outputs": [],
    "source": [
     "# Edit these parameters accordingly\n",
-    "service_id = 335\n",
+    "service_id = 219\n",
     "start_date_str = \"2024-03-01T00:00:01Z\"\n",
     "end_date_str = \"2024-09-16T23:59:59Z\""
    ]

From 27f54e68f75912f7cc63b9b454a1968973f45ab0 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Tue, 17 Sep 2024 13:46:09 +0200
Subject: [PATCH 30/36] fix: linters

---
 notebooks/generate_roi_analysis_dataset.py | 12 +++++++++---
 1 file changed, 9 insertions(+), 3 deletions(-)

diff --git a/notebooks/generate_roi_analysis_dataset.py b/notebooks/generate_roi_analysis_dataset.py
index 35577de..f96f497 100644
--- a/notebooks/generate_roi_analysis_dataset.py
+++ b/notebooks/generate_roi_analysis_dataset.py
@@ -36,13 +36,14 @@
 from dotenv import dotenv_values
 from web3 import Web3
 
+
 SCRIPT_PATH = Path(__file__).resolve().parent
 DOTENV_PATH = Path(SCRIPT_PATH, ".env")
 
 env_file_vars = dotenv_values(DOTENV_PATH)
 trader_quickstart_path = env_file_vars.get("TRADER_QUICKSTART_PATH")
 
-sys.path.insert(0, '../scripts')
+sys.path.insert(0, "../scripts")
 sys.path.insert(0, os.path.expanduser(trader_quickstart_path))
 sys.path.insert(0, os.path.expanduser(f"{trader_quickstart_path}/scripts"))
 
@@ -50,6 +51,7 @@
 from mech_request_utils import get_mech_requests
 from trades import INVALID_ANSWER, MarketState, TradeResult
 
+
 RPC = env_file_vars.get("RPC")
 SERVICE_REGISTRY_ADDRESS = "0x9338b5153AE39BB89f50468E608eD9d764B755fD"
 DATASET_PREFIX = "roi_analysis_dataset_"
@@ -173,9 +175,13 @@ def generate_dataset(service_id: int) -> (Dict[str, Any], Dict[str, Any], List[s
 
     mech_requests = get_mech_requests(service_safe_address, dataset_json)
 
-    fpmm_trades = trades._query_omen_xdai_subgraph(service_safe_address.lower())[  # pylint: disable=protected-access
+    fpmm_trades = trades._query_omen_xdai_subgraph(
+        service_safe_address.lower()
+    )[  # pylint: disable=protected-access
         "data"
-    ]["fpmmTrades"]
+    ][
+        "fpmmTrades"
+    ]
     outstanding_mech_request_ids = _populate_mech_requests(fpmm_trades, mech_requests)
     _populate_market_states(fpmm_trades)
 

From e9c020bbc9112d16f4990c048143adfcecedfe97 Mon Sep 17 00:00:00 2001
From: David Vilela <dvilelaf@gmail.com>
Date: Tue, 17 Sep 2024 14:22:07 +0200
Subject: [PATCH 31/36] fix: move http handler to composed skill

---
 packages/packages.json                        |   8 +-
 .../agents/market_maker/aea-config.yaml       |   4 +-
 .../valory/services/market_maker/service.yaml |   2 +-
 .../market_creation_manager_abci/handlers.py  | 259 +----------------
 .../market_creation_manager_abci/skill.yaml   |   7 +-
 .../skills/market_maker_abci/handlers.py      | 261 +++++++++++++++++-
 .../skills/market_maker_abci/skill.yaml       |  10 +-
 7 files changed, 274 insertions(+), 277 deletions(-)

diff --git a/packages/packages.json b/packages/packages.json
index 6ab61d3..ff7ed02 100644
--- a/packages/packages.json
+++ b/packages/packages.json
@@ -3,10 +3,10 @@
         "contract/valory/fpmm_deterministic_factory/0.1.0": "bafybeigjfuahxhb2y4q5ueayry55boaojcryoamwr6fshgayf5s762vpl4",
         "contract/valory/wxdai/0.1.0": "bafybeidalocwbhmbto6ii6adldtpcughtdt6j3v4tv36utevjk2wrdyqie",
         "contract/valory/fpmm/0.1.0": "bafybeiai2ruj27nnglvn7yc5atojyojo3fkmofw6wrjgz2ybps2uwdizx4",
-        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeibl3buwan7qtzv3aqzuelpmmgydoy25gt4lbdnvxpettab3ltxp4m",
-        "skill/valory/market_maker_abci/0.1.0": "bafybeihbhymviqlx4ux2fhskua7zkpfupqqshy4tc5h2gsinva4idcqlcy",
-        "agent/valory/market_maker/0.1.0": "bafybeibcka3tam3a5e6mr4vwu55cwlolstvca5g54klnni4ijeqeka5jxa",
-        "service/valory/market_maker/0.1.0": "bafybeihowttwk2pzdpwg72tygbgebwyt2bscczcqeja4g3dpkdyp5sez6a"
+        "skill/valory/market_creation_manager_abci/0.1.0": "bafybeidgpctdcbxubjdlqzcrzr2qwtuocv236ngtjduabkmja7qvqr3fri",
+        "skill/valory/market_maker_abci/0.1.0": "bafybeietyfyi6qphajffab37bueo4seb2fdtptak6sneszk7ww7fjhwr5y",
+        "agent/valory/market_maker/0.1.0": "bafybeibbnx4azoeyuh2zsd6ebxvv2k2y3yvmuhfl4776p5pz4tzjb5uyuu",
+        "service/valory/market_maker/0.1.0": "bafybeiftf5j3vu7tab5uxfsidxrneayacfjbrgwejt5wk3qoyn4llgpkji"
     },
     "third_party": {
         "protocol/valory/contract_api/1.0.0": "bafybeidgu7o5llh26xp3u3ebq3yluull5lupiyeu6iooi2xyymdrgnzq5i",
diff --git a/packages/valory/agents/market_maker/aea-config.yaml b/packages/valory/agents/market_maker/aea-config.yaml
index 01c39ca..83036b1 100644
--- a/packages/valory/agents/market_maker/aea-config.yaml
+++ b/packages/valory/agents/market_maker/aea-config.yaml
@@ -38,9 +38,9 @@ protocols:
 skills:
 - valory/abstract_abci:0.1.0:bafybeieh4ei3qdelmacnm7vwq57phoewgumr3udvxt6pybmuggwc3yk65q
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
-- valory/market_maker_abci:0.1.0:bafybeihbhymviqlx4ux2fhskua7zkpfupqqshy4tc5h2gsinva4idcqlcy
+- valory/market_maker_abci:0.1.0:bafybeietyfyi6qphajffab37bueo4seb2fdtptak6sneszk7ww7fjhwr5y
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
-- valory/market_creation_manager_abci:0.1.0:bafybeibl3buwan7qtzv3aqzuelpmmgydoy25gt4lbdnvxpettab3ltxp4m
+- valory/market_creation_manager_abci:0.1.0:bafybeidgpctdcbxubjdlqzcrzr2qwtuocv236ngtjduabkmja7qvqr3fri
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
diff --git a/packages/valory/services/market_maker/service.yaml b/packages/valory/services/market_maker/service.yaml
index a033b01..2fb585f 100644
--- a/packages/valory/services/market_maker/service.yaml
+++ b/packages/valory/services/market_maker/service.yaml
@@ -7,7 +7,7 @@ license: Apache-2.0
 fingerprint:
   README.md: bafybeibwz3af6326msp4h3kqehijvmyhaytvyfbo3o2npc2w4b6zrg6pfq
 fingerprint_ignore_patterns: []
-agent: valory/market_maker:0.1.0:bafybeibcka3tam3a5e6mr4vwu55cwlolstvca5g54klnni4ijeqeka5jxa
+agent: valory/market_maker:0.1.0:bafybeibbnx4azoeyuh2zsd6ebxvv2k2y3yvmuhfl4776p5pz4tzjb5uyuu
 number_of_agents: 1
 deployment:
   agent:
diff --git a/packages/valory/skills/market_creation_manager_abci/handlers.py b/packages/valory/skills/market_creation_manager_abci/handlers.py
index 34f6a3f..cc910e1 100644
--- a/packages/valory/skills/market_creation_manager_abci/handlers.py
+++ b/packages/valory/skills/market_creation_manager_abci/handlers.py
@@ -19,20 +19,11 @@
 
 """This module contains the handlers for the skill of MarketCreationManagerAbciApp."""
 
-import json
-import re
-from datetime import datetime
-from enum import Enum
-from typing import Callable, Dict, List, Optional, Tuple, Union, cast
-from urllib.parse import urlparse
+
+from typing import Optional
 
 from aea.configurations.data_types import PublicId
-from aea.protocols.base import Message
 
-from packages.valory.connections.http_server.connection import (
-    PUBLIC_ID as HTTP_SERVER_PUBLIC_ID,
-)
-from packages.valory.protocols.http import HttpMessage
 from packages.valory.protocols.llm import LlmMessage
 from packages.valory.skills.abstract_round_abci.handlers import (
     ABCIRoundHandler as BaseABCIRoundHandler,
@@ -41,9 +32,6 @@
 from packages.valory.skills.abstract_round_abci.handlers import (
     ContractApiHandler as BaseContractApiHandler,
 )
-from packages.valory.skills.abstract_round_abci.handlers import (
-    HttpHandler as BaseHttpHandler,
-)
 from packages.valory.skills.abstract_round_abci.handlers import (
     IpfsHandler as BaseIpfsHandler,
 )
@@ -56,12 +44,6 @@
 from packages.valory.skills.abstract_round_abci.handlers import (
     TendermintHandler as BaseTendermintHandler,
 )
-from packages.valory.skills.market_creation_manager_abci.dialogues import (
-    HttpDialogue,
-    HttpDialogues,
-)
-from packages.valory.skills.market_creation_manager_abci.models import SharedState
-from packages.valory.skills.market_creation_manager_abci.rounds import SynchronizedData
 
 
 ABCIHandler = BaseABCIRoundHandler
@@ -82,240 +64,3 @@ class LlmHandler(AbstractResponseHandler):
             LlmMessage.Performative.RESPONSE,
         }
     )
-
-
-class HttpCode(Enum):
-    """Http codes"""
-
-    OK_CODE = 200
-    NOT_FOUND_CODE = 404
-    BAD_REQUEST_CODE = 400
-    NOT_READY = 503
-
-
-class HttpMethod(Enum):
-    """Http methods"""
-
-    GET = "get"
-    HEAD = "head"
-    POST = "post"
-
-
-class HttpHandler(BaseHttpHandler):
-    """This implements the HTTP handler."""
-
-    SUPPORTED_PROTOCOL = HttpMessage.protocol_id
-
-    def setup(self) -> None:
-        """Implement the setup."""
-
-        # Custom hostname (set via params)
-        service_endpoint_base = urlparse(
-            self.context.params.service_endpoint_base
-        ).hostname
-
-        # Propel hostname regex
-        propel_uri_base_hostname = (
-            r"https?:\/\/[a-zA-Z0-9]{16}.agent\.propel\.(staging\.)?autonolas\.tech"
-        )
-
-        # Route regexes
-        hostname_regex = rf".*({service_endpoint_base}|{propel_uri_base_hostname}|localhost|127.0.0.1|0.0.0.0)(:\d+)?"
-        self.handler_url_regex = rf"{hostname_regex}\/.*"
-        health_url_regex = rf"{hostname_regex}\/healthcheck"
-
-        # Routes
-        self.routes = {
-            (HttpMethod.POST.value,): [],
-            (HttpMethod.GET.value, HttpMethod.HEAD.value): [
-                (health_url_regex, self._handle_get_health),
-            ],
-        }
-
-        self.json_content_header = "Content-Type: application/json\n"
-
-    @property
-    def synchronized_data(self) -> SynchronizedData:
-        """Return the synchronized data."""
-        return SynchronizedData(
-            db=self.context.state.round_sequence.latest_synchronized_data.db
-        )
-
-    def _get_handler(self, url: str, method: str) -> Tuple[Optional[Callable], Dict]:
-        """Check if an url is meant to be handled in this handler
-
-        We expect url to match the pattern {hostname}/.*,
-        where hostname is allowed to be localhost, 127.0.0.1 or the token_uri_base's hostname.
-        Examples:
-            localhost:8000/0
-            127.0.0.1:8000/100
-            https://pfp.staging.autonolas.tech/45
-            http://pfp.staging.autonolas.tech/120
-
-        :param url: the url to check
-        :param method: the http method
-        :returns: the handling method if the message is intended to be handled by this handler, None otherwise, and the regex captures
-        """
-        # Check base url
-        if not re.match(self.handler_url_regex, url):
-            self.context.logger.info(
-                f"The url {url} does not match the HttpHandler's pattern"
-            )
-            return None, {}
-
-        # Check if there is a route for this request
-        for methods, routes in self.routes.items():
-            if method not in methods:
-                continue
-
-            for route in routes:  # type: ignore
-                # Routes are tuples like (route_regex, handle_method)
-                m = re.match(route[0], url)
-                if m:
-                    return route[1], m.groupdict()
-
-        # No route found
-        self.context.logger.info(
-            f"The message [{method}] {url} is intended for the HttpHandler but did not match any valid pattern"
-        )
-        return self._handle_bad_request, {}
-
-    def handle(self, message: Message) -> None:
-        """
-        Implement the reaction to an envelope.
-
-        :param message: the message
-        """
-        http_msg = cast(HttpMessage, message)
-
-        # Check if this is a request sent from the http_server skill
-        if (
-            http_msg.performative != HttpMessage.Performative.REQUEST
-            or message.sender != str(HTTP_SERVER_PUBLIC_ID.without_hash())
-        ):
-            super().handle(message)
-            return
-
-        # Check if this message is for this skill. If not, send to super()
-        handler, kwargs = self._get_handler(http_msg.url, http_msg.method)
-        if not handler:
-            super().handle(message)
-            return
-
-        # Retrieve dialogues
-        http_dialogues = cast(HttpDialogues, self.context.http_dialogues)
-        http_dialogue = cast(HttpDialogue, http_dialogues.update(http_msg))
-
-        # Invalid message
-        if http_dialogue is None:
-            self.context.logger.info(
-                "Received invalid http message={}, unidentified dialogue.".format(
-                    http_msg
-                )
-            )
-            return
-
-        # Handle message
-        self.context.logger.info(
-            "Received http request with method={}, url={} and body={!r}".format(
-                http_msg.method,
-                http_msg.url,
-                http_msg.body,
-            )
-        )
-        handler(http_msg, http_dialogue, **kwargs)
-
-    def _handle_bad_request(
-        self, http_msg: HttpMessage, http_dialogue: HttpDialogue
-    ) -> None:
-        """
-        Handle a Http bad request.
-
-        :param http_msg: the http message
-        :param http_dialogue: the http dialogue
-        """
-        http_response = http_dialogue.reply(
-            performative=HttpMessage.Performative.RESPONSE,
-            target_message=http_msg,
-            version=http_msg.version,
-            status_code=HttpCode.BAD_REQUEST_CODE.value,
-            status_text="Bad request",
-            headers=http_msg.headers,
-            body=b"",
-        )
-
-        # Send response
-        self.context.logger.info("Responding with: {}".format(http_response))
-        self.context.outbox.put_message(message=http_response)
-
-    def _send_ok_response(
-        self,
-        http_msg: HttpMessage,
-        http_dialogue: HttpDialogue,
-        data: Union[Dict, List],
-    ) -> None:
-        """Send an OK response with the provided data"""
-        http_response = http_dialogue.reply(
-            performative=HttpMessage.Performative.RESPONSE,
-            target_message=http_msg,
-            version=http_msg.version,
-            status_code=HttpCode.OK_CODE.value,
-            status_text="Success",
-            headers=f"{self.json_content_header}{http_msg.headers}",
-            body=json.dumps(data).encode("utf-8"),
-        )
-
-        # Send response
-        self.context.logger.info("Responding with: {}".format(http_response))
-        self.context.outbox.put_message(message=http_response)
-
-    def _handle_get_health(
-        self, http_msg: HttpMessage, http_dialogue: HttpDialogue
-    ) -> None:
-        """
-        Handle a Http request of verb GET.
-
-        :param http_msg: the http message
-        :param http_dialogue: the http dialogue
-        """
-        seconds_since_last_transition = None
-        is_tm_unhealthy = None
-        is_transitioning_fast = None
-        current_round = None
-        rounds = None
-
-        round_sequence = cast(SharedState, self.context.state).round_sequence
-
-        if round_sequence._last_round_transition_timestamp:
-            is_tm_unhealthy = cast(
-                SharedState, self.context.state
-            ).round_sequence.block_stall_deadline_expired
-
-            current_time = datetime.now().timestamp()
-            seconds_since_last_transition = current_time - datetime.timestamp(
-                round_sequence._last_round_transition_timestamp
-            )
-
-            is_transitioning_fast = (
-                not is_tm_unhealthy
-                and seconds_since_last_transition
-                < 2 * self.context.params.reset_pause_duration
-            )
-
-        if round_sequence._abci_app:
-            current_round = round_sequence._abci_app.current_round.round_id
-            rounds = [
-                r.round_id for r in round_sequence._abci_app._previous_rounds[-25:]
-            ]
-            rounds.append(current_round)
-
-        data = {
-            "seconds_since_last_transition": seconds_since_last_transition,
-            "is_tm_healthy": not is_tm_unhealthy,
-            "period": self.synchronized_data.period_count,
-            "reset_pause_duration": self.context.params.reset_pause_duration,
-            "rounds": rounds,
-            "is_transitioning_fast": is_transitioning_fast,
-        }
-
-        self._send_ok_response(http_msg, http_dialogue, data)
diff --git a/packages/valory/skills/market_creation_manager_abci/skill.yaml b/packages/valory/skills/market_creation_manager_abci/skill.yaml
index 1e4d2bf..25e451d 100644
--- a/packages/valory/skills/market_creation_manager_abci/skill.yaml
+++ b/packages/valory/skills/market_creation_manager_abci/skill.yaml
@@ -13,7 +13,7 @@ fingerprint:
   behaviours.py: bafybeibaeqww3qnhiqck3pi7t276azxv7jt4tzscex25onaoobtrakqnoi
   dialogues.py: bafybeicmaufkl7vdomnfciv7lw4536ssld7x4uemdapuhsyvfpd4ncibza
   fsm_specification.yaml: bafybeiebwzp5jirrwo475r2hzwrirx45jlxtp5duo4275phypqfkueybtq
-  handlers.py: bafybeieqlhdlqv426zt5ji7ckyygachagoql5peacindgqq5oc336lixjq
+  handlers.py: bafybeicj2skzmias5pqvbctiidwgioreaabspsppxn5ytl6e356is4lgga
   models.py: bafybeicfdblqzyj6ex3qvjmbejjdt6qwecblfsgjdrfj7rydqgo6h7xasm
   payloads.py: bafybeibu7sptf43adazxpyzwtfpph7bgfhtwiotg5sdlcwjt6iw3idqn7a
   rounds.py: bafybeifnezj3cw323fj5xnieuucfqarznzlpesaj75huylfkpeyuunqkvy
@@ -21,7 +21,6 @@ fingerprint:
 fingerprint_ignore_patterns: []
 connections:
 - valory/openai:0.1.0:bafybeigyehjbahya5mp7vyp5tjvn36rey4btvzskp3ql3mgxp3zu6gwq5a
-- valory/http_server:0.22.0:bafybeihpgu56ovmq4npazdbh6y6ru5i7zuv6wvdglpxavsckyih56smu7m
 contracts:
 - valory/gnosis_safe:0.1.0:bafybeidcb25wneezfd2iaiqa7ygxlimwwacvycahhenvpw7tdvwdigllzm
 - valory/multisend:0.1.0:bafybeig5byt5urg2d2bsecufxe5ql7f4mezg3mekfleeh32nmuusx66p4y
@@ -34,7 +33,6 @@ protocols:
 - valory/llm:1.0.0:bafybeihj2orqapokafg7co3wlogwgf6cckaaj2bz3nuv4rm3opkoyhrlp4
 - valory/contract_api:1.0.0:bafybeidgu7o5llh26xp3u3ebq3yluull5lupiyeu6iooi2xyymdrgnzq5i
 - valory/ledger_api:1.0.0:bafybeihdk6psr4guxmbcrc26jr2cbgzpd5aljkqvpwo64bvaz7tdti2oni
-- valory/http:1.0.0:bafybeifugzl63kfdmwrxwphrnrhj7bn6iruxieme3a4ntzejf6kmtuwmae
 skills:
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
@@ -65,9 +63,6 @@ handlers:
   llm:
     args: {}
     class_name: LlmHandler
-  http:
-    args: {}
-    class_name: HttpHandler
 models:
   abci_dialogues:
     args: {}
diff --git a/packages/valory/skills/market_maker_abci/handlers.py b/packages/valory/skills/market_maker_abci/handlers.py
index 6d14d61..6e23bee 100644
--- a/packages/valory/skills/market_maker_abci/handlers.py
+++ b/packages/valory/skills/market_maker_abci/handlers.py
@@ -20,10 +20,26 @@
 """This module contains the handler for the 'price_estimation_abci' skill."""
 
 
+import json
+import re
+from datetime import datetime
+from enum import Enum
+from typing import Callable, Dict, List, Optional, Tuple, Union, cast
+from urllib.parse import urlparse
+
+from aea.protocols.base import Message
+
+from packages.valory.connections.http_server.connection import (
+    PUBLIC_ID as HTTP_SERVER_PUBLIC_ID,
+)
+from packages.valory.protocols.http import HttpMessage
 from packages.valory.skills.abstract_round_abci.handlers import ABCIRoundHandler
 from packages.valory.skills.abstract_round_abci.handlers import (
     ContractApiHandler as BaseContractApiHandler,
 )
+from packages.valory.skills.abstract_round_abci.handlers import (
+    HttpHandler as BaseHttpHandler,
+)
 from packages.valory.skills.abstract_round_abci.handlers import (
     IpfsHandler as BaseIpfsHandler,
 )
@@ -36,19 +52,258 @@
 from packages.valory.skills.abstract_round_abci.handlers import (
     TendermintHandler as BaseTendermintHandler,
 )
-from packages.valory.skills.market_creation_manager_abci.handlers import (
-    HttpHandler as BaseHttpHandler,
+from packages.valory.skills.market_creation_manager_abci.dialogues import (
+    HttpDialogue,
+    HttpDialogues,
 )
 from packages.valory.skills.market_creation_manager_abci.handlers import (
     LlmHandler as BaseLlmHandler,
 )
+from packages.valory.skills.market_creation_manager_abci.rounds import SynchronizedData
+from packages.valory.skills.market_maker_abci.models import SharedState
 
 
 MarketCreatorABCIRoundHandler = ABCIRoundHandler
-HttpHandler = BaseHttpHandler
 SigningHandler = BaseSigningHandler
 LedgerApiHandler = BaseLedgerApiHandler
 ContractApiHandler = BaseContractApiHandler
 TendermintHandler = BaseTendermintHandler
 IpfsHandler = BaseIpfsHandler
 LlmHandler = BaseLlmHandler
+
+
+class HttpCode(Enum):
+    """Http codes"""
+
+    OK_CODE = 200
+    NOT_FOUND_CODE = 404
+    BAD_REQUEST_CODE = 400
+    NOT_READY = 503
+
+
+class HttpMethod(Enum):
+    """Http methods"""
+
+    GET = "get"
+    HEAD = "head"
+    POST = "post"
+
+
+class HttpHandler(BaseHttpHandler):
+    """This implements the HTTP handler."""
+
+    SUPPORTED_PROTOCOL = HttpMessage.protocol_id
+
+    def setup(self) -> None:
+        """Implement the setup."""
+
+        # Custom hostname (set via params)
+        service_endpoint_base = urlparse(
+            self.context.params.service_endpoint_base
+        ).hostname
+
+        # Propel hostname regex
+        propel_uri_base_hostname = (
+            r"https?:\/\/[a-zA-Z0-9]{16}.agent\.propel\.(staging\.)?autonolas\.tech"
+        )
+
+        # Route regexes
+        hostname_regex = rf".*({service_endpoint_base}|{propel_uri_base_hostname}|localhost|127.0.0.1|0.0.0.0)(:\d+)?"
+        self.handler_url_regex = rf"{hostname_regex}\/.*"
+        health_url_regex = rf"{hostname_regex}\/healthcheck"
+
+        # Routes
+        self.routes = {
+            (HttpMethod.POST.value,): [],
+            (HttpMethod.GET.value, HttpMethod.HEAD.value): [
+                (health_url_regex, self._handle_get_health),
+            ],
+        }
+
+        self.json_content_header = "Content-Type: application/json\n"
+
+    @property
+    def synchronized_data(self) -> SynchronizedData:
+        """Return the synchronized data."""
+        return SynchronizedData(
+            db=self.context.state.round_sequence.latest_synchronized_data.db
+        )
+
+    def _get_handler(self, url: str, method: str) -> Tuple[Optional[Callable], Dict]:
+        """Check if an url is meant to be handled in this handler
+
+        We expect url to match the pattern {hostname}/.*,
+        where hostname is allowed to be localhost, 127.0.0.1 or the token_uri_base's hostname.
+        Examples:
+            localhost:8000/0
+            127.0.0.1:8000/100
+            https://pfp.staging.autonolas.tech/45
+            http://pfp.staging.autonolas.tech/120
+
+        :param url: the url to check
+        :param method: the http method
+        :returns: the handling method if the message is intended to be handled by this handler, None otherwise, and the regex captures
+        """
+        # Check base url
+        if not re.match(self.handler_url_regex, url):
+            self.context.logger.info(
+                f"The url {url} does not match the HttpHandler's pattern"
+            )
+            return None, {}
+
+        # Check if there is a route for this request
+        for methods, routes in self.routes.items():
+            if method not in methods:
+                continue
+
+            for route in routes:  # type: ignore
+                # Routes are tuples like (route_regex, handle_method)
+                m = re.match(route[0], url)
+                if m:
+                    return route[1], m.groupdict()
+
+        # No route found
+        self.context.logger.info(
+            f"The message [{method}] {url} is intended for the HttpHandler but did not match any valid pattern"
+        )
+        return self._handle_bad_request, {}
+
+    def handle(self, message: Message) -> None:
+        """
+        Implement the reaction to an envelope.
+
+        :param message: the message
+        """
+        http_msg = cast(HttpMessage, message)
+
+        # Check if this is a request sent from the http_server skill
+        if (
+            http_msg.performative != HttpMessage.Performative.REQUEST
+            or message.sender != str(HTTP_SERVER_PUBLIC_ID.without_hash())
+        ):
+            super().handle(message)
+            return
+
+        # Check if this message is for this skill. If not, send to super()
+        handler, kwargs = self._get_handler(http_msg.url, http_msg.method)
+        if not handler:
+            super().handle(message)
+            return
+
+        # Retrieve dialogues
+        http_dialogues = cast(HttpDialogues, self.context.http_dialogues)
+        http_dialogue = cast(HttpDialogue, http_dialogues.update(http_msg))
+
+        # Invalid message
+        if http_dialogue is None:
+            self.context.logger.info(
+                "Received invalid http message={}, unidentified dialogue.".format(
+                    http_msg
+                )
+            )
+            return
+
+        # Handle message
+        self.context.logger.info(
+            "Received http request with method={}, url={} and body={!r}".format(
+                http_msg.method,
+                http_msg.url,
+                http_msg.body,
+            )
+        )
+        handler(http_msg, http_dialogue, **kwargs)
+
+    def _handle_bad_request(
+        self, http_msg: HttpMessage, http_dialogue: HttpDialogue
+    ) -> None:
+        """
+        Handle a Http bad request.
+
+        :param http_msg: the http message
+        :param http_dialogue: the http dialogue
+        """
+        http_response = http_dialogue.reply(
+            performative=HttpMessage.Performative.RESPONSE,
+            target_message=http_msg,
+            version=http_msg.version,
+            status_code=HttpCode.BAD_REQUEST_CODE.value,
+            status_text="Bad request",
+            headers=http_msg.headers,
+            body=b"",
+        )
+
+        # Send response
+        self.context.logger.info("Responding with: {}".format(http_response))
+        self.context.outbox.put_message(message=http_response)
+
+    def _send_ok_response(
+        self,
+        http_msg: HttpMessage,
+        http_dialogue: HttpDialogue,
+        data: Union[Dict, List],
+    ) -> None:
+        """Send an OK response with the provided data"""
+        http_response = http_dialogue.reply(
+            performative=HttpMessage.Performative.RESPONSE,
+            target_message=http_msg,
+            version=http_msg.version,
+            status_code=HttpCode.OK_CODE.value,
+            status_text="Success",
+            headers=f"{self.json_content_header}{http_msg.headers}",
+            body=json.dumps(data).encode("utf-8"),
+        )
+
+        # Send response
+        self.context.logger.info("Responding with: {}".format(http_response))
+        self.context.outbox.put_message(message=http_response)
+
+    def _handle_get_health(
+        self, http_msg: HttpMessage, http_dialogue: HttpDialogue
+    ) -> None:
+        """
+        Handle a Http request of verb GET.
+
+        :param http_msg: the http message
+        :param http_dialogue: the http dialogue
+        """
+        seconds_since_last_transition = None
+        is_tm_unhealthy = None
+        is_transitioning_fast = None
+        current_round = None
+        rounds = None
+
+        round_sequence = cast(SharedState, self.context.state).round_sequence
+
+        if round_sequence._last_round_transition_timestamp:
+            is_tm_unhealthy = cast(
+                SharedState, self.context.state
+            ).round_sequence.block_stall_deadline_expired
+
+            current_time = datetime.now().timestamp()
+            seconds_since_last_transition = current_time - datetime.timestamp(
+                round_sequence._last_round_transition_timestamp
+            )
+
+            is_transitioning_fast = (
+                not is_tm_unhealthy
+                and seconds_since_last_transition
+                < 2 * self.context.params.reset_pause_duration
+            )
+
+        if round_sequence._abci_app:
+            current_round = round_sequence._abci_app.current_round.round_id
+            rounds = [
+                r.round_id for r in round_sequence._abci_app._previous_rounds[-25:]
+            ]
+            rounds.append(current_round)
+
+        data = {
+            "seconds_since_last_transition": seconds_since_last_transition,
+            "is_tm_healthy": not is_tm_unhealthy,
+            "period": self.synchronized_data.period_count,
+            "reset_pause_duration": self.context.params.reset_pause_duration,
+            "rounds": rounds,
+            "is_transitioning_fast": is_transitioning_fast,
+        }
+
+        self._send_ok_response(http_msg, http_dialogue, data)
diff --git a/packages/valory/skills/market_maker_abci/skill.yaml b/packages/valory/skills/market_maker_abci/skill.yaml
index a0ee5fa..9641c58 100644
--- a/packages/valory/skills/market_maker_abci/skill.yaml
+++ b/packages/valory/skills/market_maker_abci/skill.yaml
@@ -13,18 +13,20 @@ fingerprint:
   composition.py: bafybeibags3bapzxlvsbjsxhlyxpd6ypnvwggu6jijktm4qfe4sn5ugfky
   dialogues.py: bafybeicintyylxt4nd5gcufh3rehbxr5jvdn6un7wvaoel7hvj3dmurlpy
   fsm_specification.yaml: bafybeicsotlxzvvpw2jk7assimkvrsgtogfvlirkmpg2rxqseg3j6qqbem
-  handlers.py: bafybeig2srdonivh5nyiwxs7jr3n5ihtro22m6pp3bzi3ves6xtaaqa3ai
+  handlers.py: bafybeidl5pzel4ui7m3kipu4tavx6blcxd6yy46jaraqqcpjgh2qtprkra
   models.py: bafybeigyrb6tcpebn7gecgnkcerqmbembat4xdg2wvfybwg6op3rsee2sq
   tests/__init__.py: bafybeig7noiiz2y2b2scjeaalby56ft24eqj4o433blm2oze2pu3lljp44
 fingerprint_ignore_patterns: []
-connections: []
+connections:
+- valory/http_server:0.22.0:bafybeihpgu56ovmq4npazdbh6y6ru5i7zuv6wvdglpxavsckyih56smu7m
 contracts: []
-protocols: []
+protocols:
+- valory/http:1.0.0:bafybeifugzl63kfdmwrxwphrnrhj7bn6iruxieme3a4ntzejf6kmtuwmae
 skills:
 - valory/abstract_round_abci:0.1.0:bafybeiar2yhzxacfe3qqamqhaihtlcimquwedffctw55sowx6rac3cm3ui
 - valory/registration_abci:0.1.0:bafybeieu7vq3pyns4t5ty6u3sbmpkd7yznpg3rmqifoz3jhy7pmqyg3w6q
 - valory/reset_pause_abci:0.1.0:bafybeiameewywqigpupy3u2iwnkfczeiiucue74x2l5lbge74rmw6bgaie
-- valory/market_creation_manager_abci:0.1.0:bafybeibl3buwan7qtzv3aqzuelpmmgydoy25gt4lbdnvxpettab3ltxp4m
+- valory/market_creation_manager_abci:0.1.0:bafybeidgpctdcbxubjdlqzcrzr2qwtuocv236ngtjduabkmja7qvqr3fri
 - valory/termination_abci:0.1.0:bafybeif2zim2de356eo3sipkmoev5emwadpqqzk3huwqarywh4tmqt3vzq
 - valory/transaction_settlement_abci:0.1.0:bafybeic3tccdjypuge2lewtlgprwkbb53lhgsgn7oiwzyrcrrptrbeyote
 - valory/mech_interact_abci:0.1.0:bafybeieryw7rk2tspyxx46loqqqimr2l5vvhtshiyg2mmdxijzb7pdoi6a

From 7c327f5829443b758b706b9a7b6e299b47fbc33a Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Tue, 17 Sep 2024 17:06:15 +0200
Subject: [PATCH 32/36] fix: linters

---
 notebooks/generate_roi_analysis_dataset.py | 16 +++++-----------
 1 file changed, 5 insertions(+), 11 deletions(-)

diff --git a/notebooks/generate_roi_analysis_dataset.py b/notebooks/generate_roi_analysis_dataset.py
index f96f497..f307fd6 100644
--- a/notebooks/generate_roi_analysis_dataset.py
+++ b/notebooks/generate_roi_analysis_dataset.py
@@ -18,9 +18,7 @@
 #
 # ------------------------------------------------------------------------------
 
-"""
-Generates dataset for ROI analysis
-"""
+"""Generates dataset for trader analysis"""
 
 # pylint: disable=wrong-import-position
 
@@ -122,13 +120,13 @@ def _populate_mech_requests(
                 found = True
                 if i != idx:
                     print(
-                        f"WARNING: '{trade['title']}' was not found at idx={idx}, used idx={i} instead."
+                        f"WARNING: {trade['title']} was not found at idx={idx}, used idx={i} instead."
                     )
                 break
 
         if not found:
             print(
-                f"ERROR: '{trade['title']}' is not found in any mech request up to {N} indices before idx={idx}."
+                f"ERROR: {trade['title']} is not found in any mech request up to {N} indices before idx={idx}."
             )
             print(f"{trade['id']=}")
 
@@ -175,13 +173,9 @@ def generate_dataset(service_id: int) -> (Dict[str, Any], Dict[str, Any], List[s
 
     mech_requests = get_mech_requests(service_safe_address, dataset_json)
 
-    fpmm_trades = trades._query_omen_xdai_subgraph(
+    fpmm_trades = trades._query_omen_xdai_subgraph(  # pylint: disable=protected-access
         service_safe_address.lower()
-    )[  # pylint: disable=protected-access
-        "data"
-    ][
-        "fpmmTrades"
-    ]
+    )["data"]["fpmmTrades"]
     outstanding_mech_request_ids = _populate_mech_requests(fpmm_trades, mech_requests)
     _populate_market_states(fpmm_trades)
 

From 060e56843ce7acd05b735a7567a80617054398f3 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Tue, 17 Sep 2024 17:12:49 +0200
Subject: [PATCH 33/36] fix: linters

---
 notebooks/generate_roi_analysis_dataset.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/notebooks/generate_roi_analysis_dataset.py b/notebooks/generate_roi_analysis_dataset.py
index f307fd6..e9d859a 100644
--- a/notebooks/generate_roi_analysis_dataset.py
+++ b/notebooks/generate_roi_analysis_dataset.py
@@ -21,6 +21,7 @@
 """Generates dataset for trader analysis"""
 
 # pylint: disable=wrong-import-position
+# noqa: E402
 
 import argparse
 import bisect

From ba039dd3261597d7a81ff97fe2e36913e542476a Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Tue, 17 Sep 2024 17:17:51 +0200
Subject: [PATCH 34/36] fix: linters

---
 notebooks/generate_roi_analysis_dataset.py | 19 +++++++++++++------
 1 file changed, 13 insertions(+), 6 deletions(-)

diff --git a/notebooks/generate_roi_analysis_dataset.py b/notebooks/generate_roi_analysis_dataset.py
index e9d859a..08fd886 100644
--- a/notebooks/generate_roi_analysis_dataset.py
+++ b/notebooks/generate_roi_analysis_dataset.py
@@ -20,7 +20,7 @@
 
 """Generates dataset for trader analysis"""
 
-# pylint: disable=wrong-import-position
+# pylint: disable=wrong-import-position,protected-access
 # noqa: E402
 
 import argparse
@@ -110,7 +110,14 @@ def _populate_mech_requests(
             print("ERROR: idx < 0")
             continue
 
-        N = 3  # Adjust N to the number of indices you want to check
+        # Almost always, the corresponding mech request should be the mech
+        # request immediately before the trade 'creationTimestamp', which is
+        # at position 'idx'. Under some exceptional circumstances, it might
+        # be a few positions before (e.g., if the trader was crashed and
+        # the mech responded 2 requests on the same block). For this reason,
+        # this part of the code searches up to N mech requests before the
+        # expected one.
+        N = 3
         for i in range(idx, max(0, idx - N), -1):
             mech_request = sorted_mech_requests[i]
             mech_request_id = mech_request["id"]
@@ -139,7 +146,7 @@ def _populate_market_states(fpmm_trades: Dict[str, Any]) -> None:
 
     for trade in fpmm_trades:
         fpmm = trade["fpmm"]
-        state = trades._get_market_state(fpmm)  # pylint: disable=protected-access
+        state = trades._get_market_state(fpmm)
         fpmm["state"] = state.value
 
         if state == MarketState.CLOSED:
@@ -174,9 +181,9 @@ def generate_dataset(service_id: int) -> (Dict[str, Any], Dict[str, Any], List[s
 
     mech_requests = get_mech_requests(service_safe_address, dataset_json)
 
-    fpmm_trades = trades._query_omen_xdai_subgraph(  # pylint: disable=protected-access
-        service_safe_address.lower()
-    )["data"]["fpmmTrades"]
+    fpmm_trades = trades._query_omen_xdai_subgraph(service_safe_address.lower())[
+        "data"
+    ]["fpmmTrades"]
     outstanding_mech_request_ids = _populate_mech_requests(fpmm_trades, mech_requests)
     _populate_market_states(fpmm_trades)
 

From 383798592eda66f79e1cd8956b2ed2a55fd3dfc6 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Tue, 17 Sep 2024 17:29:36 +0200
Subject: [PATCH 35/36] chore: rename file

---
 ..._analysis_dataset.py => generate_trader_dataset.py} |  2 +-
 notebooks/roi_analysis.ipynb                           | 10 +++++-----
 2 files changed, 6 insertions(+), 6 deletions(-)
 rename notebooks/{generate_roi_analysis_dataset.py => generate_trader_dataset.py} (99%)

diff --git a/notebooks/generate_roi_analysis_dataset.py b/notebooks/generate_trader_dataset.py
similarity index 99%
rename from notebooks/generate_roi_analysis_dataset.py
rename to notebooks/generate_trader_dataset.py
index 08fd886..2809dc5 100644
--- a/notebooks/generate_roi_analysis_dataset.py
+++ b/notebooks/generate_trader_dataset.py
@@ -53,7 +53,7 @@
 
 RPC = env_file_vars.get("RPC")
 SERVICE_REGISTRY_ADDRESS = "0x9338b5153AE39BB89f50468E608eD9d764B755fD"
-DATASET_PREFIX = "roi_analysis_dataset_"
+DATASET_PREFIX = "trader_dataset_"
 
 
 def _get_contract(address: str) -> Any:
diff --git a/notebooks/roi_analysis.ipynb b/notebooks/roi_analysis.ipynb
index eaffbfe..13f1793 100644
--- a/notebooks/roi_analysis.ipynb
+++ b/notebooks/roi_analysis.ipynb
@@ -35,11 +35,11 @@
     "6. The first time you want to run an analysis for a service, it’s recommended that you create the dataset outside the notebook as follows:\n",
     "    \n",
     "    ```bash\n",
-    "    python generate_roi_analysis_dataset.py 219\n",
+    "    python generate_trader_dataset.py 219\n",
     "    ```\n",
     "\n",
     "    If you are collecting a lot of data, it might take a while to generate the dataset, and you might need to run the scripts multiple times, due to network errors.\n",
-    "    As a result of this step you should end with a file called `roi_analysis_dataset_<service_id>.json`\n",
+    "    As a result of this step you should end with a file called `trader_dataset_<service_id>.json`\n",
     "\n",
     "7. Edit the cell of this notebook with the required data:\n",
     "\n",
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -93,7 +93,7 @@
     "sys.path.insert(0, os.path.expanduser(trader_quickstart_path))\n",
     "sys.path.insert(0, os.path.expanduser(f\"{trader_quickstart_path}/scripts\"))\n",
     "\n",
-    "from generate_roi_analysis_dataset import get_service_safe, generate_dataset, DATASET_PREFIX\n",
+    "from generate_trader_dataset import get_service_safe, generate_dataset, DATASET_PREFIX\n",
     "from trades import MarketState, TradeResult, INVALID_ANSWER, _compute_roi\n",
     "\n",
     "def annotate_bars(ax):\n",
@@ -108,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [

From 55066ac98c8fd4ed959a20e1fb097ef6c9ac3170 Mon Sep 17 00:00:00 2001
From: jmoreira-valory <jose.moreira.sanchez@valory.xyz>
Date: Tue, 17 Sep 2024 17:36:23 +0200
Subject: [PATCH 36/36] fix: linters

---
 notebooks/generate_trader_dataset.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/notebooks/generate_trader_dataset.py b/notebooks/generate_trader_dataset.py
index 2809dc5..c810444 100644
--- a/notebooks/generate_trader_dataset.py
+++ b/notebooks/generate_trader_dataset.py
@@ -21,7 +21,6 @@
 """Generates dataset for trader analysis"""
 
 # pylint: disable=wrong-import-position,protected-access
-# noqa: E402
 
 import argparse
 import bisect
@@ -46,9 +45,9 @@
 sys.path.insert(0, os.path.expanduser(trader_quickstart_path))
 sys.path.insert(0, os.path.expanduser(f"{trader_quickstart_path}/scripts"))
 
-import trades
-from mech_request_utils import get_mech_requests
-from trades import INVALID_ANSWER, MarketState, TradeResult
+import trades  # noqa: E402
+from mech_request_utils import get_mech_requests  # noqa: E402
+from trades import INVALID_ANSWER, MarketState, TradeResult  # noqa: E402
 
 
 RPC = env_file_vars.get("RPC")