lolanalysis_es.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "## Análisis de partidas - League of Legends"
   ],
   "metadata": {
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   },
   "id": "84fd9d6993124817"
  },
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   "cell_type": "markdown",
   "source": [
    "## Configuración de la API\n",
    "Aqui puedes encontrar la version en vivo https://colab.research.google.com/drive/19obBBam7tgXCC4jiLdf4X3XuLjiJ62rC"
   ],
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   "source": [
    "import requests\n",
    "import json\n",
    "from bs4 import BeautifulSoup\n",
    "import cassiopeia as cass\n",
    "\n",
    "# Cambiar RIOT API KEY, este lo puedes obtener en https://developer.riotgames.com\n",
    "RIOT_API_KEY = \"RGAPI\"\n",
    "\n",
    "CPConfig = cass.Settings({'global': {'version_from_match': 'latest'}})\n",
    "cass.apply_settings(CPConfig)\n",
    "cass.set_riot_api_key(RIOT_API_KEY)\n",
    "\n",
    "# Cambiar por los datos del usuario a analizar\n",
    "CONTINENT = \"americas\"\n",
    "RIOT_ID = \"baccaKEGW\"\n",
    "TAG = \"NA1\"\n",
    "REGION = \"NA\"\n",
    "\n",
    "URL = f\"https://{CONTINENT}.api.riotgames.com/riot/account/v1/accounts/by-riot-id/{RIOT_ID}/{TAG}?api_key={RIOT_API_KEY}\"\n",
    "\n",
    "page = requests.get(URL)\n",
    "soup = BeautifulSoup(page.content, \"html.parser\")\n",
    "json_data = soup.get_text()\n",
    "data = json.loads(json_data)\n",
    "puuid = data[\"puuid\"]\n",
    "\n",
    "summoner = cass.Summoner(puuid=puuid, region=REGION)"
   ],
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    "ExecuteTime": {
     "end_time": "2024-05-27T06:07:09.152576Z",
     "start_time": "2024-05-27T06:07:05.941097Z"
    }
   },
   "id": "34f37d2e9983c286",
   "execution_count": 2
  },
  {
   "cell_type": "markdown",
   "source": [
    "Loop para extraer los datos de cada partida, se puede asignar la cantidad en summoner.match_history y creación del DataFrame"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "df8cdd164abf4cf1"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/by-puuid/EKXctjAFCs1bsL8_jMk-oFtSJVZsOGlapFzGD-bMBNbPFk2HxDx-pd5G5YBLi-cND5t0jEO9AjkFoA/ids?start=0&count=100\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5006433554\n",
      "Making call: https://ddragon.leagueoflegends.com/realms/na.json\n",
      "Making call: https://ddragon.leagueoflegends.com/cdn/14.10.1/data/en_US/championFull.json\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5006369543\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5006344365\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5006340848\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5006273266\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005762739\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005596097\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005576113\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005561364\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005545336\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005315353\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005116003\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005090472\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005070276\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005045402\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005027884\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5005011100\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004985576\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004964200\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004466825\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004443838\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004406567\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004392759\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004369049\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004347620\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004327565\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004309249\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004288419\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004286967\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004268982\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004250687\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004241650\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004166395\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004162922\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5004149317\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5003589052\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5003571353\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5003556464\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5003549295\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5003540187\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5003529998\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5003040040\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5003014132\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5002983582\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5002968760\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5002954913\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5002928069\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5002909768\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5002890748\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5002866571\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5002847652\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5002129151\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5002107266\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5002082638\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5001509732\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5001499314\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5000857052\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5000831000\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5000804412\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5000778234\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5000775047\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5000765294\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5000733235\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5000707778\n",
      "Making call: https://americas.api.riotgames.com/lol/match/v5/matches/NA1_5000679608\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from datetime import timedelta\n",
    "\n",
    "df = []\n",
    "win = {False: \"Loss\", True: \"Win\"}\n",
    "bin = {False: 0, True: 1}\n",
    "lanes = {\"top_lane\": \"Top Lane\", \"jungle\": \"Jungle\", \"mid_lane\": \"Mid Lane\", \"bot_lane\": \"Bottom Lane\", \"utility\": \"Utility\"}\n",
    "\n",
    "\n",
    "for match in summoner.match_history[0:65]:\n",
    "    \n",
    "    players = match.participants\n",
    "    if match.is_remake:\n",
    "        pass\n",
    "    elif match.duration < timedelta(minutes=15, seconds=30):\n",
    "        pass\n",
    "    else:\n",
    "        # Cambiar por el tipo de partida, en este análisis utilizaré ranked de solo queue y flexibles\n",
    "        if match.queue.name == \"ranked_solo_fives\" or match.queue.name == \"ranked_flex_fives\":\n",
    "            try:\n",
    "                for x in players:\n",
    "                    is_user = \"user\" if x.summoner.puuid == puuid else \"other\"\n",
    "                    df.append((match.id, x.champion.name, is_user, lanes[x.lane.name], x.stats.kills, x.stats.deaths, x.stats.assists, round(x.stats.kda,2), win[x.stats.win], x.side.name, match.queue.name, bin[x.stats.first_blood_kill], bin[x.stats.first_tower_kill], x.stats.gold_earned, x.stats.total_minions_killed, x.stats.vision_score, x.stats.vision_wards_bought, x.stats.time_played, x.stats.longest_time_spent_living))\n",
    "            except KeyError:\n",
    "                pass\n",
    "        else:\n",
    "            pass\n",
    "        \n",
    "df = pd.DataFrame(df, columns=[\"Match ID\", \"Champion\", \"Is_User\", \"Lane\", \"Kills\", \"Deaths\", \"Assists\", \"KDA\", \"Is_Win\", \"Side\", \"Match Type\", \"First Blood\", \"First Tower\", \"Gold\", \"Minions\", \"Ward Score\",\"Pink Wards\",\"Match Duration\", \"Longest Time Lived\"])\n",
    "df = df.set_index(\"Match ID\")\n",
    "df.Side = df.Side.str.capitalize()"
   ],
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    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:13.237285Z",
     "start_time": "2024-05-27T06:07:09.155586Z"
    }
   },
   "id": "cd467b2a5402c95d",
   "execution_count": 3
  },
  {
   "cell_type": "markdown",
   "source": [
    "Revisión del Dataframe"
   ],
   "metadata": {
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   },
   "id": "c4c8774e67c47880"
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  {
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   "outputs": [
    {
     "data": {
      "text/plain": "             Champion Is_User         Lane  Kills  Deaths  Assists   KDA  \\\nMatch ID                                                                   \n5006433554  Gangplank    user     Top Lane      6       5        5  2.20   \n5006433554  Jarvan IV   other       Jungle      2       1        7  9.00   \n5006433554      Yasuo   other     Mid Lane      3       0        1  4.00   \n5006433554       Jinx   other  Bottom Lane      4       2        8  6.00   \n5006433554     Xerath   other      Utility      7       2        9  8.00   \n...               ...     ...          ...    ...     ...      ...   ...   \n5000679608  Gangplank    user     Top Lane      0       7        4  0.57   \n5000679608     Graves   other       Jungle      5      11        6  1.00   \n5000679608   Katarina   other     Mid Lane      8       9        3  1.22   \n5000679608    Caitlyn   other  Bottom Lane      6       5        3  1.80   \n5000679608        Lux   other      Utility      2       8        7  1.12   \n\n           Is_Win  Side         Match Type  First Blood  First Tower   Gold  \\\nMatch ID                                                                      \n5006433554    Win  Blue  ranked_solo_fives            0            0  12986   \n5006433554    Win  Blue  ranked_solo_fives            0            0   9607   \n5006433554    Win  Blue  ranked_solo_fives            1            0  10864   \n5006433554    Win  Blue  ranked_solo_fives            0            0  11565   \n5006433554    Win  Blue  ranked_solo_fives            0            1   9630   \n...           ...   ...                ...          ...          ...    ...   \n5000679608   Loss   Red  ranked_solo_fives            0            0   9683   \n5000679608   Loss   Red  ranked_solo_fives            1            0  10433   \n5000679608   Loss   Red  ranked_solo_fives            0            0  10256   \n5000679608   Loss   Red  ranked_solo_fives            0            0  11151   \n5000679608   Loss   Red  ranked_solo_fives            0            1   6932   \n\n            Minions  Ward Score  Pink Wards  Match Duration  \\\nMatch ID                                                      \n5006433554      191           8           0            1570   \n5006433554       12          34           2            1570   \n5006433554      236          20           1            1570   \n5006433554      210          24           2            1570   \n5006433554       42          64           5            1570   \n...             ...         ...         ...             ...   \n5000679608      191          16           1            1456   \n5000679608       37          21           2            1456   \n5000679608      137          10           0            1456   \n5000679608      184          18           5            1456   \n5000679608       21          34           0            1456   \n\n            Longest Time Lived  \nMatch ID                        \n5006433554                 672  \n5006433554                1188  \n5006433554                   0  \n5006433554                 845  \n5006433554                 599  \n...                        ...  \n5000679608                 449  \n5000679608                 263  \n5000679608                 331  \n5000679608                 541  \n5000679608                 638  \n\n[590 rows x 18 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Champion</th>\n      <th>Is_User</th>\n      <th>Lane</th>\n      <th>Kills</th>\n      <th>Deaths</th>\n      <th>Assists</th>\n      <th>KDA</th>\n      <th>Is_Win</th>\n      <th>Side</th>\n      <th>Match Type</th>\n      <th>First Blood</th>\n      <th>First Tower</th>\n      <th>Gold</th>\n      <th>Minions</th>\n      <th>Ward Score</th>\n      <th>Pink Wards</th>\n      <th>Match Duration</th>\n      <th>Longest Time Lived</th>\n    </tr>\n    <tr>\n      <th>Match ID</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>5006433554</th>\n      <td>Gangplank</td>\n      <td>user</td>\n      <td>Top Lane</td>\n      <td>6</td>\n      <td>5</td>\n      <td>5</td>\n      <td>2.20</td>\n      <td>Win</td>\n      <td>Blue</td>\n      <td>ranked_solo_fives</td>\n      <td>0</td>\n      <td>0</td>\n      <td>12986</td>\n      <td>191</td>\n      <td>8</td>\n      <td>0</td>\n      <td>1570</td>\n      <td>672</td>\n    </tr>\n    <tr>\n      <th>5006433554</th>\n      <td>Jarvan IV</td>\n      <td>other</td>\n      <td>Jungle</td>\n      <td>2</td>\n      <td>1</td>\n      <td>7</td>\n      <td>9.00</td>\n      <td>Win</td>\n      <td>Blue</td>\n      <td>ranked_solo_fives</td>\n      <td>0</td>\n      <td>0</td>\n      <td>9607</td>\n      <td>12</td>\n      <td>34</td>\n      <td>2</td>\n      <td>1570</td>\n      <td>1188</td>\n    </tr>\n    <tr>\n      <th>5006433554</th>\n      <td>Yasuo</td>\n      <td>other</td>\n      <td>Mid Lane</td>\n      <td>3</td>\n      <td>0</td>\n      <td>1</td>\n      <td>4.00</td>\n      <td>Win</td>\n      <td>Blue</td>\n      <td>ranked_solo_fives</td>\n      <td>1</td>\n      <td>0</td>\n      <td>10864</td>\n      <td>236</td>\n      <td>20</td>\n      <td>1</td>\n      <td>1570</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>5006433554</th>\n      <td>Jinx</td>\n      <td>other</td>\n      <td>Bottom Lane</td>\n      <td>4</td>\n      <td>2</td>\n      <td>8</td>\n      <td>6.00</td>\n      <td>Win</td>\n      <td>Blue</td>\n      <td>ranked_solo_fives</td>\n      <td>0</td>\n      <td>0</td>\n      <td>11565</td>\n      <td>210</td>\n      <td>24</td>\n      <td>2</td>\n      <td>1570</td>\n      <td>845</td>\n    </tr>\n    <tr>\n      <th>5006433554</th>\n      <td>Xerath</td>\n      <td>other</td>\n      <td>Utility</td>\n      <td>7</td>\n      <td>2</td>\n      <td>9</td>\n      <td>8.00</td>\n      <td>Win</td>\n      <td>Blue</td>\n      <td>ranked_solo_fives</td>\n      <td>0</td>\n      <td>1</td>\n      <td>9630</td>\n      <td>42</td>\n      <td>64</td>\n      <td>5</td>\n      <td>1570</td>\n      <td>599</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>5000679608</th>\n      <td>Gangplank</td>\n      <td>user</td>\n      <td>Top Lane</td>\n      <td>0</td>\n      <td>7</td>\n      <td>4</td>\n      <td>0.57</td>\n      <td>Loss</td>\n      <td>Red</td>\n      <td>ranked_solo_fives</td>\n      <td>0</td>\n      <td>0</td>\n      <td>9683</td>\n      <td>191</td>\n      <td>16</td>\n      <td>1</td>\n      <td>1456</td>\n      <td>449</td>\n    </tr>\n    <tr>\n      <th>5000679608</th>\n      <td>Graves</td>\n      <td>other</td>\n      <td>Jungle</td>\n      <td>5</td>\n      <td>11</td>\n      <td>6</td>\n      <td>1.00</td>\n      <td>Loss</td>\n      <td>Red</td>\n      <td>ranked_solo_fives</td>\n      <td>1</td>\n      <td>0</td>\n      <td>10433</td>\n      <td>37</td>\n      <td>21</td>\n      <td>2</td>\n      <td>1456</td>\n      <td>263</td>\n    </tr>\n    <tr>\n      <th>5000679608</th>\n      <td>Katarina</td>\n      <td>other</td>\n      <td>Mid Lane</td>\n      <td>8</td>\n      <td>9</td>\n      <td>3</td>\n      <td>1.22</td>\n      <td>Loss</td>\n      <td>Red</td>\n      <td>ranked_solo_fives</td>\n      <td>0</td>\n      <td>0</td>\n      <td>10256</td>\n      <td>137</td>\n      <td>10</td>\n      <td>0</td>\n      <td>1456</td>\n      <td>331</td>\n    </tr>\n    <tr>\n      <th>5000679608</th>\n      <td>Caitlyn</td>\n      <td>other</td>\n      <td>Bottom Lane</td>\n      <td>6</td>\n      <td>5</td>\n      <td>3</td>\n      <td>1.80</td>\n      <td>Loss</td>\n      <td>Red</td>\n      <td>ranked_solo_fives</td>\n      <td>0</td>\n      <td>0</td>\n      <td>11151</td>\n      <td>184</td>\n      <td>18</td>\n      <td>5</td>\n      <td>1456</td>\n      <td>541</td>\n    </tr>\n    <tr>\n      <th>5000679608</th>\n      <td>Lux</td>\n      <td>other</td>\n      <td>Utility</td>\n      <td>2</td>\n      <td>8</td>\n      <td>7</td>\n      <td>1.12</td>\n      <td>Loss</td>\n      <td>Red</td>\n      <td>ranked_solo_fives</td>\n      <td>0</td>\n      <td>1</td>\n      <td>6932</td>\n      <td>21</td>\n      <td>34</td>\n      <td>0</td>\n      <td>1456</td>\n      <td>638</td>\n    </tr>\n  </tbody>\n</table>\n<p>590 rows × 18 columns</p>\n</div>"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Quitar # para guardar los datos en un csv\n",
    "#df.to_csv(\"leagueoflegendsdata.csv\")\n",
    "\n",
    "# Lectura de CSV anteriormente guardado\n",
    "# pd.read_csv(\"leagueoflegendsdata.csv\")\n",
    "\n",
    "df"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:13.274158Z",
     "start_time": "2024-05-27T06:09:13.238292Z"
    }
   },
   "id": "8fb4c493154ffee3",
   "execution_count": 4
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Análisis del jugador"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "c2774a04a2315f22"
  },
  {
   "cell_type": "markdown",
   "source": [
    "Función para contar winrates de campeones, posición y equipo"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "b968c2d2079b0c92"
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "def contar(data, x, user):\n",
    "    df_base = data[(data[\"Is_User\"] == user)][x].value_counts()\n",
    "    df_final = pd.DataFrame(df_base, columns=[\"Winrate\", \"Games\"])\n",
    "    df_final[\"Winrate\"] = (data[(data[\"Is_User\"] == user) & (df[\"Is_Win\"] == \"Win\")][x].value_counts() / df_base)\n",
    "    df_final[\"Games\"] = df[(df[\"Is_User\"] == user)][x].value_counts()\n",
    "    df_final[\"Winrate\"] = df_final[\"Winrate\"].fillna(0)\n",
    "    df_final.sort_values(\"Winrate\", axis=0, ascending=False, inplace=True)\n",
    "    \n",
    "    return df_final"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:13.283238Z",
     "start_time": "2024-05-27T06:09:13.277166Z"
    }
   },
   "id": "5c88c5085e36c14d",
   "execution_count": 5
  },
  {
   "cell_type": "markdown",
   "source": [
    "Función para contar winrate por primera sangre y primera torre"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "8385aae5be0e8ab4"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Partidas en total: 59 Winrate: 0.56 % \n",
      "\n",
      "% de ganar una partida con primera sangre: 0.56 % \n",
      " % de ganar una partida cuando el equipo obtiene primera sangre: 0.47 % \n",
      " % de ganar una partida cuando el equipo enemigo obtiene primera sangre: 0.61 % \n",
      " \n",
      " % de ganar una partida con primera torre: 0.82 % \n",
      " % de ganar una partida cuando el equipo obtiene primera torre: 0.71 % \n",
      " % de ganar una partida cuando el equipo enemigo obtiene primera torre: 0.33 % \n",
      " \n",
      " % de ganar una partida al tener mejor vision que el equipo enemigo: 0.81 %\n"
     ]
    }
   ],
   "source": [
    "def first_count(user_won, allies_won, user, first):\n",
    "    p = {\"u\": \"user\", \"o\": \"other\", \"w\": \"Win\", \"l\": \"Loss\", \"fp\": \"First Blood\", \"ft\": \"First Tower\"}\n",
    "    x = df[(df[\"Is_User\"] == p[user]) & (df[p[first]] == 1) & (df[\"Is_Win\"] == p[allies_won]) & (df.index.isin(user_won.index.unique()))][p[first]].count()\n",
    "    return x\n",
    "\n",
    "wins = df[(df[\"Is_User\"] == \"user\") & (df[\"Is_Win\"] == \"Win\")]\n",
    "losses = df[(df[\"Is_User\"] == \"user\") & (df[\"Is_Win\"] == \"Loss\")]\n",
    "\n",
    "w_ward_team = df[(df[\"Is_Win\"] == \"Win\") & (df.index.isin(wins.index.unique()))].groupby(\"Match ID\").sum(\"Ward Score\")\n",
    "w_ward_enemy = df[(df[\"Is_Win\"] == \"Loss\") & (df.index.isin(wins.index.unique()))].groupby(\"Match ID\").sum(\"Ward Score\")\n",
    "wins_ward = (w_ward_team[\"Ward Score\"] - w_ward_enemy[\"Ward Score\"])\n",
    "\n",
    "l_ward_team = df[(df[\"Is_Win\"] == \"Loss\") & (df.index.isin(losses.index.unique()))].groupby(\"Match ID\").sum(\"Ward Score\")\n",
    "l_ward_enemy = df[(df[\"Is_Win\"] == \"Win\") & (df.index.isin(losses.index.unique()))].groupby(\"Match ID\").sum(\"Ward Score\")\n",
    "losses_ward = (l_ward_team[\"Ward Score\"] - l_ward_enemy[\"Ward Score\"])\n",
    "\n",
    "x = contar(data=df, x=\"Champion\", user=\"user\")\n",
    "\n",
    "print(\"Partidas en total:\", x.Games.sum(), \"Winrate:\", round(sum(x.Games * x.Winrate / x.Games.sum()), 2), \"% \\n\")\n",
    "print(\"% de ganar una partida con primera sangre:\", round(first_count(wins,\"w\",\"u\",\"fp\") / (first_count(wins,\"w\",\"u\",\"fp\") + first_count(losses,\"l\",\"u\",\"fp\")),2),\"% \\n\",\n",
    "      \"% de ganar una partida cuando el equipo obtiene primera sangre:\", round(first_count(wins,\"w\",\"o\",\"fp\") / (first_count(wins,\"w\",\"o\",\"fp\") + first_count(losses,\"l\",\"o\",\"fp\")),2),\"% \\n\",\n",
    "      \"% de ganar una partida cuando el equipo enemigo obtiene primera sangre:\", round(first_count(wins,\"l\",\"o\",\"fp\") / (first_count(wins,\"l\",\"o\",\"fp\") + first_count(losses,\"w\",\"o\",\"fp\")),2),\"% \\n\",\n",
    "      \"\\n\",\n",
    "      \"% de ganar una partida con primera torre:\", round(first_count(wins,\"w\",\"u\",\"ft\") / (first_count(wins,\"w\",\"u\",\"ft\") + first_count(losses,\"l\",\"u\",\"ft\")),2),\"% \\n\", \n",
    "      \"% de ganar una partida cuando el equipo obtiene primera torre:\", round(first_count(wins,\"w\",\"o\",\"ft\") / (first_count(wins,\"w\",\"o\",\"ft\") + first_count(losses,\"l\",\"o\",\"ft\")),2),\"% \\n\",\n",
    "      \"% de ganar una partida cuando el equipo enemigo obtiene primera torre:\", round(first_count(wins,\"l\",\"o\",\"ft\") / (first_count(wins,\"l\",\"o\",\"ft\") + first_count(losses,\"w\",\"o\",\"ft\")),2),\"% \\n\",\n",
    "      \"\\n\",\n",
    "      \"% de ganar una partida al tener mejor vision que el equipo enemigo:\", round(wins_ward[(wins_ward > 0)].count() / (wins_ward[(wins_ward > 0)].count() + losses_ward[(losses_ward > 0)].count()),2),\"%\")\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:13.352599Z",
     "start_time": "2024-05-27T06:09:13.285248Z"
    }
   },
   "id": "bec1a0e2657dab98",
   "execution_count": 6
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Creación de Gráficos"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "c3465340fbb1b2e0"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 1000x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Cambiar el número de min_games_user, desde que cantidad de partidas se considerará el winrate de un Campeón\n",
    "min_games_user = 1\n",
    "\n",
    "x = contar(data=df, x=\"Champion\", user=\"user\")\n",
    "x = x[x.Games > min_games_user].iloc[0:10]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "bars = plt.bar(x.index, x.Winrate, color=\"grey\", label=\"Número de Partidas\")\n",
    "\n",
    "for bar, partidas in zip(bars, x.Games):\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width() / 2, yval, int(partidas), ha=\"center\", va=\"bottom\", color=\"grey\")\n",
    "\n",
    "plt.xlabel(\"Campeón\")\n",
    "plt.ylabel(\"Winrate\")\n",
    "plt.title(\"Winrate por Campeón\")\n",
    "plt.ylim(0, 1.1)\n",
    "plt.legend()\n",
    "\n",
    "plt.savefig(\"graficos/champ_winrate.png\")\n",
    "\n",
    "x = contar(data=df, x=\"Lane\", user=\"user\")\n",
    "colors = [\"C0\", \"C1\", \"C2\", \"C3\", \"C4\"]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "bars = plt.bar(x.index, x.Winrate, color=colors)\n",
    "\n",
    "for bar, partidas in zip(bars, x.Games):\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width() / 2, yval, int(partidas), ha=\"center\", va=\"bottom\")\n",
    "\n",
    "plt.xlabel(\"Posición\")\n",
    "plt.ylabel(\"Winrate\")\n",
    "plt.title('Winrate por Posición, con Número de Partidas Jugadas')\n",
    "plt.ylim(0, 1.1)\n",
    "\n",
    "plt.savefig(\"graficos/lane_winrate.png\");"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:14.136925Z",
     "start_time": "2024-05-27T06:09:13.354611Z"
    }
   },
   "id": "808f97a1e65fb522",
   "execution_count": 7
  },
  {
   "cell_type": "markdown",
   "source": [
    "Función para contar winrate por campeones"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "7d0586604dc23016"
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "def winrate_champs(a,b,c):\n",
    "\n",
    "    wins = df[(df[\"Is_User\"] == \"user\") & (df[\"Is_Win\"] == \"Win\")]\n",
    "    victory_matches = wins.index.unique()\n",
    "    enemy_loss_matches = df[(df.index.isin(victory_matches)) & (df[\"Is_User\"] == \"other\") & (df[\"Is_Win\"] == a)]\n",
    "    enemy_loss_count = enemy_loss_matches[\"Champion\"].value_counts()\n",
    "    \n",
    "    defeats = df[(df[\"Is_User\"] == \"user\") & (df[\"Is_Win\"] == \"Loss\")]\n",
    "    defeats_matches = defeats.index.unique()\n",
    "    enemy_win_matches = df[(df.index.isin(defeats_matches)) & (df[\"Is_User\"] == \"other\") & (df[\"Is_Win\"] == b)]\n",
    "    enemy_win_count = enemy_win_matches[\"Champion\"].value_counts()\n",
    "    \n",
    "    enemy_total = enemy_win_count.add(enemy_loss_count, fill_value=0)\n",
    "    \n",
    "    enemy_win = pd.DataFrame(enemy_win_count)\n",
    "    enemy_win[\"total\"] = enemy_total\n",
    "    enemy_win.fillna(0, inplace=True)\n",
    "    enemy_win[\"winrate\"] = abs(c-(enemy_win[\"count\"] / enemy_win.total))\n",
    "    enemy_win.sort_values(\"winrate\", ascending=True, inplace=True)\n",
    "    return enemy_win"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:14.146119Z",
     "start_time": "2024-05-27T06:09:14.138936Z"
    }
   },
   "id": "184c38cd32ea113e",
   "execution_count": 8
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Cambiar el número de min_games, desde que cantidad de partidas se considerará el winrate del usuario\n",
    "min_games = 2\n",
    "\n",
    "x = winrate_champs(\"Loss\",\"Win\",1)\n",
    "x = x[(x.total > min_games)].iloc[0:10]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "bars = plt.bar(x.index, x.winrate, color=\"C3\", label=\"Número de partidas\")\n",
    "\n",
    "for bar, partidas in zip(bars, x.total):\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width() / 2, yval, int(partidas), ha=\"center\", va=\"bottom\", color=\"C3\")\n",
    "\n",
    "plt.xlabel(\"Campeón\")\n",
    "plt.ylabel(\"Winrate\")\n",
    "plt.title(\"Winrate por Campeón jugado en el equipo enemigo \\n (VS estos campeones tienes menos victorias)\")\n",
    "plt.legend(loc=\"upper right\")\n",
    "plt.ylim(0, 1.1)\n",
    "\n",
    "plt.savefig(\"graficos/vs_champs_negative_winrate.png\");"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:14.840823Z",
     "start_time": "2024-05-27T06:09:14.148127Z"
    }
   },
   "id": "9dcb6aa6460bfee0",
   "execution_count": 9
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x600 with 1 Axes>",
      "image/png": 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5cqSlH5I0fPhwvfnmm7p+/bqWLl2q8PBwSVJ0dPQjf5fQg/a/c+fOat68uTp27KgWLVooc+bMWr58uTZv3qxp06ZJkt599119++23atu2rbp27SoPDw+tXr1a27dv1+jRo62Cd1r5+/tr2bJlGjt2rKpVq6ZLly5p3rx5unz5stU1Wg9ax4OOqwYNGmjx4sXq2rWrevToIXd3d82cOdMqkBUtWlSNGjXStGnTFBMTo7Jly+rIkSMKDQ1VSEiI1dBVAMgICEsA8Ji4u7urZMmS2rdvn+XmDverXLmyfv75Z1WoUOGJ1TB27FiNGDFCI0aMkHTve4eGDRumb7/9Vrt377bU+e6772r58uX69ddftXXrVlWqVEnz5s1TaGiounfvrkyZMsnX11cLFixIdkOBfwsKClK5cuUsd0qrXr26+vTpYzkDUb58eS1YsEDTpk1Tz5495eLioqCgII0bN04vvfTSQ+3nyJEjFRISoq+++kqDBw/W7du3lSdPHjVt2lTt2rWzDOcKCQnR4MGDtWDBAn3//ffy8vJSSEiIQkND1aVLF+3Zs+eR7772oP0vXry4li5dqk8++UR9+vSRYRjy8fHRp59+avnOq9y5c2vZsmWaNGmSRo4cqbt376p48eKaMWOGZZmH1ahRI507d04rV67UF198IW9vb1WpUkUtW7bUoEGDdOLECavbt5tJzXHl4uKiRYsWafTo0Ro1apQcHBzUrFkz5c+fX1euXLGsa9SoUSpYsKBWrlypuXPn6rnnnlObNm3UuXPnRwqFAPAkOBgPuioUAIAUtG7dWpK0ZMkSO1diH8/6/gPAfx1/wgEAAAAAE4QlAAAAADDBMDwAAAAAMMGZJQAAAAAwQVgCgAyOAQCPF/18OvA6AcgICEsAnlp3795V48aNLV8wmuTUqVMaOnSoatSoIX9/f1WtWlU9e/a0fLfO02TGjBmaN2+evcuQJO3YsUPFihWzfEnt9OnTVaxYscey7mLFimn69OmPZV22rFixQuPGjbM8XrVqlYoVK6Zz58498W1nJBMmTJCfn5+2b9/+xLeV1uPk4sWL6tChQ7Iv6H1YT+LY6tOnj+bOnftY1wkgYyIsAXhqzZo1S88//7zV9xZt3LhRjRo10p9//qn3339fc+fOVY8ePXT69Gk1a9ZMW7dutWPFaTd16lTLl35mNE2bNtXy5cvtXUaazJw5U9euXbM8rlq1qpYvX67nnnvOfkWlsytXruiLL77QkCFDVK5cuSe+vbQeJ9u2bdOvv/762La/fPlyNW3a9LGtT7r3Rctz587ViRMnHut6AWQ8fCktgKfSpUuXNGfOHC1btswy7ezZs+rbt68qV66sKVOmyMnJyTKvVq1aatGihfr27auffvrJ8oWheHjPP/+8nn/+eXuX8Uhy5sypnDlz2ruMdJU5c2atXr1aBQsWTJft2fs4edCXKj8Mb29v1atXTxMmTNCsWbMe+/oBZBycWQLwVFqwYIHy5MkjPz8/y7QlS5YoLi5OH3/8sVVQkiQ3Nzf17dtXb775pq5fv26Zvn79ejVu3FiBgYGqWLGiBg8ebDV/+vTpqlmzpn755RfVr19ffn5+eu2117R69eoH1rh79269/fbbCggIUHBwsPr27aurV69a5icmJuqTTz5R9erV5efnp+rVq2vSpEm6e/euJFmGLoWGhloNYzp48KDatWunkJAQlS5dWp06ddKxY8estr1o0SLVrl1bJUuWVOXKlTV06FDdunXLZr27du1Su3btVLZsWUs906dPV2Jiouny/x5elZCQoDlz5qhevXry9/dXqVKl1Lx582RDvXbu3Km33npLAQEBeu2115INo5SkmzdvasyYMapRo4ZKliypevXq6euvv7Za5tChQ3rnnXdUpkwZBQYGqm3bttq/f3+K+1e9enX9/fff+uabbyxD78yG4T3odVu1apVefvllhYWF6a233lLJkiVVrVq1ZMMlY2NjNX78eFWpUkV+fn6qX7++1q9f/0j7IN07LpYtW6Z+/fqpTJkyCg4O1siRI3Xnzh2NGzdO5cqVU0hIiAYOHKjY2FjL865evaphw4apfv36qlu3roKDg9WlSxerfT979qw6deqkkJAQBQQE6K233rJ5lmfQoEGqWLGiEhISrKaPGjVKISEhunv3rukwvNWrV6tRo0YKCAhQ1apVNWnSJMXFxWnVqlXq37+/JOnVV19Vv379JN07tpYuXar69etbhtZOnDjRav/69eund955R0OGDFHp0qVVp04dJSQkJBuGFx4erq5du6pcuXLy9fVV5cqVLf1LsnXrVjVr1kyBgYEqW7as3n///WRnkerXr69ffvlFf/31l83XC8DTjbAE4Km0du1avfbaa1bTtmzZopdfflne3t6mzylfvrx69Oih3LlzS7p3PVDPnj1VqlQpTZs2TV26dNEPP/yg1q1bW31wioyM1PDhw9WmTRvNmTNH+fLlU9++fW0Owdm1a5fatm0rV1dXTZkyRQMGDNDOnTvVpk0by7rnzp2rZcuWqUuXLpo/f75atGihefPmaebMmZJkGbrUpEkTy7+3b9+uFi1aSJJGjx6tkSNH6sKFC2revLmlnu+++04TJkxQq1atNG/ePHXp0kVr1qzRiBEjUqw3PDxcbdu2lYeHhz755BPNnDlTQUFBCg0N1YYNG1J+Ie4zceJEzZgxQ2+99ZY+++wzjRgxQteuXdMHH3xgGUr4559/6n//+5+yZcumadOmqU2bNurZs6fVeu7cuaOWLVtq7dq1at++vWbMmKEyZcpo4MCBlr/i37p1S+3bt5enp6emT5+uTz75RDExMWrXrp1u3rxpWl9oaKhy586tKlWqpDj0LjWvm3Qv6H744YeqU6eO5syZo9KlS2v8+PHasmWLpHs3J+jSpYu+/PJLvfvuu5o5c6YCAwPVo0cPS9B+mH1IMmHCBLm4uCg0NFQNGzbUkiVL1LBhQ124cEETJ05U69at9fXXX2vJkiWWejp27KitW7eqV69emjdvnrp27ao//vhDQ4YMsexTx44dFRMTo/Hjx2vGjBny8PDQ+++/rzNnzpjW0aBBA12+fNlyHVvSejZs2KC6desqU6ZMyZ6zdOlS9e3bV76+vgoNDVWHDh20ZMkSjRw5UlWrVtX7779veb06d+4sSRo8eLAlPM+cOVOtWrXS559/rs6dO1vdCGL37t26cOGCPv30U3300UfJ/mhy6dIltWrVSjExMRo7dqzmzp2runXrasmSJVq8eLEkKSIiQp07d5afn59mzpypUaNG6dSpU+rQoYPVHw4CAwPl7e2t7777zuZrBeApZwDAU+b48eOGj4+PsWnTJqvpAQEBxocffpiqdVy7ds3w8/MzBg0aZDV9165dho+Pj/H5558bhmEY06ZNM3x8fIxt27ZZlvn7778NHx8fY968eSmu/6233jLq1atnxMfHW6adPHnSKFGihGXd//vf/4x3333X6nlLliwxVq9ebXns4+NjTJs2zfK4SZMmRp06dazWe/36dSM4ONjo3r27YRiGMWjQIOO1114zEhISLMusWbPGWLx4cYr1fvPNN0b79u2tnpOQkGCUKVPG0qPt27cbPj4+xvbt2616k6Rnz57GwoULrdb7ww8/GD4+Psa+ffsMwzCMbt26Ga+88ooRFxdnWWbdunVW+7l06VLDx8fH2Lt3r9W6BgwYYJQsWdKIiooy9u3bZ/j4+Bh79uyxzD9z5owxfvx448KFCynuZ7Vq1Yy+fftaHq9cudLw8fExIiIiDMNI3euW9JyvvvrKskxsbKxRsmRJY/jw4YZhGMbvv/9u+Pj4GOvWrbPafq9evYyKFSsad+/efeh98PHxMZo2bWp5HB8fb5QqVcqoXr26cffuXcv0evXqGe+//75hGIZx8eJFo3Xr1sauXbus1jVixAjDz8/PMAzDuHTpkuHj42N8++23lvk3btwwRo8ebfz111+mtSQmJhrVqlUz+vfvb5m2bds2w8fHx9i/f79hGNbHSUJCglG+fHmjc+fOVuv57LPPjEaNGhlxcXHJXpNjx44ZPj4+xuzZs62es3r1asPHx8f45ZdfDMMwjL59+xo+Pj7Jenf/sbVlyxajVatWxs2bN62WqVevnvG///3PMAzD+O677wwfHx/j4sWLlvlhYWHG5MmTkz2vc+fORpMmTUx7A+C/gWuWADx1IiIiJEn58uWzmu7k5JRsOFBK9u/fr7i4ONWrV89qelBQkPLmzaudO3eqVatWlun3X/eQdP1FdHS06bpjYmIUFhamdu3ayTAMxcfHS5Ly58+vIkWKaOvWrWrVqpVCQkI0adIktWzZUtWrV1fVqlX19ttvp1hzdHS0Dh48qK5du1r9xTx79uyqVq2aZbhUuXLltHz5cjVu3Fg1atRQlSpVVL9+fTk4OKS47oYNG6phw4aKjY3VqVOndObMGR05ckQJCQmWYYEPMmnSJEn3hnudPHlSZ86c0c8//yxJiouLkyTt2bNH1apVszrjUKtWLav92blzp/LmzavAwECr9b/xxhv6+uuvFRYWpqCgIOXMmVOdOnVS7dq1VblyZVWsWFG9e/dOVa1mUvu6Jbm/PhcXF+XMmdNyTPzxxx9ycHBQlSpVLOuR7g0F/Pbbb3Xs2DG99NJLD70P92/byclJnp6e8vX1lbPz//1a9/DwsJyh8vb21uLFi2UYhs6dO6czZ87o5MmT2rt3r+W18fLyUtGiRTVo0CD9/vvvqlSpkl555RXLsDgzDg4OeuONN/TFF19o6NChcnFx0bp16/Tiiy8qICAg2fKnTp3SlStXVLNmTavp7dq1U7t27Uy3sXPnTklS3bp1rabXrVtX/fv3144dO1SlShXLPtu6PqpSpUqqVKmS7t69q+PHj+vMmTP666+/dPXqVXl4eEiSAgIClDlzZjVp0kS1a9fWK6+8opCQEPn7+ydbX968ebV3794Utwfg6UdYAvDUSfoA6ObmZjU9T548On/+fIrPu3v3rq5fvy4vLy/LdUleXl7JlvPy8ko2DOr+bTk63hvBbKTwPTA3btxQYmKi5s6da3p74cyZM0uS2rdvr6xZs2rlypWaOHGiJkyYoJdeekkff/yx6V3Kbt68KcMwHlhznTp1lJiYqC+++EIzZszQ9OnTlTdvXvXq1Ut16tQxrfnOnTsaMWKE1qxZo/j4eOXLl0+BgYFydnZO9ffdHDx4UMOGDdPBgwfl5uamokWLKk+ePFa9un79ujw9Pa2e5+zsbDXt+vXrlqGS/95H6V5/s2bNqqVLl2rmzJnasGGDli9fLldXVzVo0EAff/zxQ93AI7WvWxJXV1erx46Ojpb9vHbtmgzDUOnSpU23denSJZUoUeKh98Hd3T3ZtCxZstjcv2+//VaTJ0/WhQsX5OHhoRIlSljtg4ODg+bPn6+ZM2dq06ZNWr16tTJlyqQaNWpo2LBhypEjh+l6GzRooJkzZ2rLli2qXLmyNm7cqHfeecd02aQ7EebKlctmrfdLeq/++5hIOm7uf69mzZrV5roSExM1efJkLV26VNHR0XrhhRfk7+9v9drmy5dPn3/+uebMmaOvv/5aixcvVvbs2dWyZUt9+OGHVn90cHNze+CQSQBPN8ISgKdO0gfrGzduWE2vVKmSFi1apMjISNMP27/++qu6dOmi0NBQywe/y5cvq3DhwlbLRUZGKn/+/A9dX9asWeXg4KC2bdsm+2u49H/By9HRUa1atVKrVq105coV/frrr5o1a5a6deumrVu3JvuwnC1bNjk4OOjy5cvJ1hkZGWn5y7gk1atXT/Xq1dPNmzf1+++/a+7cuerdu7fKlCljek3XqFGj9MMPP2jKlCmqUKGC5YN3+fLlU7XPSdffFCtWTOvWrVPhwoXl6OioX3/9VT/88INlOQ8Pj2T1G4ZhdVONHDlymF4jExkZKen/Xv/ChQtrwoQJSkhI0IEDB7RmzRotW7ZMBQoUUPv27VNV9/1S+7qlRrZs2ZQlSxbLdTD/lnQnuse9DynZvXu3+vbtq9atW6tdu3aWY2D8+PHas2ePZTlvb28NHTpUQ4YMUXh4uL7//nvNnTtXnp6elmub/q1QoULy9/fXhg0b5OjoqBs3buiNN94wXTZ79uySZHXDDEmKiorS4cOHk51NlGR5r0ZGRipv3ryW6Xfv3lVUVFSy8G3LnDlztHDhQg0bNky1atVStmzZJN27LvB+/v7+Cg0NVVxcnPbs2aPly5dr1qxZKl68uF5//XXLcjdu3EjT9gE8fbjBA4CnTtLZiosXL1pNb9WqlTJlyqRRo0YlG44XHR2tadOmydPTU6+88ooCAgLk4uKS7OLs3bt36/z58ymeEUgNd3d3vfzyyzp58qRKlixp+e+ll17S9OnTLRfDN2/eXCNHjpR07y/tjRs3VqtWrXTjxg3LneuSzmJJ984c+Pn5acOGDVb7d/PmTf3yyy8qU6aMJOnDDz9Uly5dJN370P7666+rc+fOio+P16VLl0xr3rNnj0JCQlSjRg1LUDp06JCuXr2a4t3w7nfy5Eldu3ZNbdq0UdGiRS11//bbb5JkWUf58uX122+/WX131JYtW6yG+pUtW1Z///239u3bZ7WNb7/9VpkyZZK/v7++//57lStXTpGRkXJyclJgYKCGDh2q7Nmz2zy7eH8//y21r1tqBAcHKzo6WoZhWK3rr7/+0qeffqr4+PiH3oeHsW/fPiUmJqpbt26WoJSQkGC5E2FiYqL27dunChUq6MCBA3JwcFCJEiXUo0cP+fj4PLCeBg0aaMuWLVq3bp1Kly6d4h8bChcuLE9PT8vwzCRr1qxRhw4ddPfu3WSvUXBwsCRp3bp1VtPXrVunhIQEy3GfGnv27FHRokX15ptvWoLSP//8o7/++styjC5cuFDVqlVTXFycXFxcVL58ecvNUf7dh4sXL1oFOAD/PZxZAvDUKVy4sPLkyaM9e/ZYXfuQL18+DR06VAMHDlSrVq3UvHlzvfDCCzp79qwWLFigiIgIzZs3T5kzZ1bmzJnVoUMHffrpp8qUKZOqVaumc+fOaerUqSpatKgaNWr0SDX27NlTHTp00EcffaQ33nhDCQkJmj9/vsLCwix3+Cpbtqzmz58vLy8vBQYG6p9//tGCBQsUHBxs+e6f7Nmza+/evdq1a5eCgoL00UcfqV27durQoYNatmypu3fvas6cOYqLi7MEpHLlymnIkCEaN26cXnnlFd24cUOhoaF68cUXVbx4cdN6k84MLFu2TEWKFFF4eLhmzpwpBweHVH0pbqFCheTu7q5Zs2bJ2dlZzs7O+uGHHyy3+05aR5cuXbR582a1a9dO7du319WrVzVlyhSra5gaN26sL774Ql26dFH37t2VL18+/fTTT1q5cqW6du2q7Nmzq3Tp0kpMTFSXLl3UoUMHZc2aVRs2bNDNmzdVq1atFOvMnj27Dh8+rJ07d5peg5Ka1y01qlSporJly6pz587q3LmzihQpogMHDmjatGmqXLmycubM+dD78DCS9nX48OGW2+cvXbpU4eHhku79MeHll1+Wq6ur+vTpo27dusnLy0vbtm3TkSNH1KZNG5vrr1OnjsaOHav169eneAZKund9Vbdu3TR8+HDlypVL1atX16lTpzRt2jS1atVKOXLksJx92rRpk1555RXL+3HatGmKiYlR2bJldeTIEYWGhiokJESVK1dOUx9mzJihOXPmqFSpUjpz5oxmz56tuLg4yzFarlw5TZw4UV26dNHbb78tJycnffnll3JxcVG1atUs6zIMQ/v27bN5nSGA/wD73FcCAB7NmDFjjNdff9103p49e4zu3bsbVapUMfz8/Ixq1aoZH330kXH8+PFky37xxRdGnTp1DF9fX6NixYrG0KFDjWvXrlnm//uOb0n+fZc6M9u2bTNatmxp+Pv7G2XKlDHatGljdTeyu3fvGtOmTTNq1Khh+Pn5GeXLlzcGDhxoXL161bLM/PnzjaCgICMgIMD4+++/DcO4d1e6pPUGBQUZnTp1Sna3ssWLFxt16tQx/P39jeDgYOODDz4wzp07l2KtUVFRRs+ePY3g4GCjVKlSRr169YxFixYZgwYNMipWrGjEx8c/8G5427dvNxo3bmz4+/sb5cuXN/73v/8Zu3fvNgIDA41x48ZZljt06JDx9ttvG/7+/ka1atWMb7/91qhQoYJVP69cuWIMGDDAKFeunOHn52e88cYbxooVK6xqDgsLM/73v/8ZwcHBRsmSJY3GjRsbGzdutPmarF271ihfvrzh5+dn7Nq1K9md11Lzupk9xzCS32nv9u3bxujRo41XXnnF8PX1NapXr25MmjTJuHPnziPtg9mx9+9tG4ZhvP3228bbb79tefz5558br776quHn52dUrVrV6Nu3r7Fp0yarO8qdOnXK6Nq1q1G+fHnD19fXqFu3rvHll1/arCdJx44dDT8/P6v3j2GYv4dWrVpl1K1b1/D19TVeffVVY8aMGZY7+d26dcto27at4evra7z33nuGYdy749+MGTOMV1991fD19TWqVatmTJ482aqXffv2NapVq2azX7GxscawYcOMihUrGv7+/sZrr71mTJs2zZg+fbrh5+dnXL9+3TCMe3fNa968uVG6dGkjICDAaNWqlbFz506r9YaFhRk+Pj7GsWPHUtUfAE8nB8NI5ZW7AJCB/PPPP6pRo4bmz5+vsmXL2rscAM+YAQMG6Nq1a5oxY4a9SwHwBHHNEoCnkre3t9q2bWt61zIAeJIuXLigjRs36oMPPrB3KQCeMMISgKdWt27d9M8//+j333+3dykAniGTJk3Se++9p2LFitm7FABPGMPwAAAAAMAEZ5YAAAAAwARhCQAAAABMEJYAAAAAwARhCQAAAABMEJYAAAAAwISzvQtIb1eu3NSzeP8/BwcpV65sz+z+Pwj9SRm9sY3+2EZ/bKM/ttEf2+iPbfTHtme9P0n7/yDPXFgyDD2TB0SSZ33/H4T+pIze2EZ/bKM/ttEf2+iPbfTHNvpjG/2xjWF4AAAAAGCCsAQAAAAAJghLAAAAAGDimbtmCQAAAI8mMTFRCQnx9i7DJgcH6c6dO7p7N45rckz81/vj6OgoR0cnOTg4PNJ6CEsAAABItdjYGEVFRUrK+J+wr151VGJior3LyLD+6/1xcXFV9uw55eyc6aHXQVgCAABAqiQmJioqKlIuLq5yd8/xyH+1f9KcnByUkJDxQ529/Ff7YxiGEhLidevWNV25clHPPZfvoY9VwhIAAABS5d7QO0Pu7jnk4pLZ3uU8kLOzo+Lj/7tnTh7Vf7s/meXk5KSrV/9RfPxdZcrk8lBr4QYPAAAASJOMfkYJkCQHh0ePOoQlAAAAADBBWAIAAMAjcXR0kLOzY7r95+iYtjNblSoFaejQgcmmr1+/Vk2a1E82PSxsv6pUCdGhQwcfuifpbe/e3apUKcjeZUi6d83QqlUrLI9HjRqqUaOGprh8kyb1tX792nSoLO24ZgkAAAAPzdHRQR6ebnJydEq3bSYkJuhaVIwSE1N/c4LNm39Q/foNVaZM2Qcu+9VXS/W//3WQn1/JRynzmbV//15NnjxOjRs3lSR98EEvO1f08AhLAAAAeGiOjg5ycnRSv9/66eT1k098e4VzFNbYV8bK0dEhTWHphRfyaPLkcVq4cJkyZbJ9K+kBA4YoS5asj1rqM8v41xc3ubu726mSR0dYAgAAwCM7ef2kjlw9Yu8yUvTee+9r4sSx+uKLxXrnnXbJ5l+4cF5Nm76hFSu+1Qsv5JEkzZs3W/v27VFo6BytX79W69evVdmyIVq27HO5uLioc+fuypw5s0JDp+j27Vt6443G6ty5uyQpLi5OM2ZM06ZNGyRJISEV9OGHvZQ9ew7Lttq376Qvv1yqWrVqq2fPvtq6dYvmzZul06dPK0+ePHrvvfdVpUp10/25ffuWxo8frW3bfleuXF56442GVvP/+eeiJk8ep927d8rTM6fq1Kmvd95pJyen5GcA582brbNnTytzZlf9+ONGPfect7p0+UCVKlWRJEVGXtLUqRO1e/cuxcbeUaFChfXhh73l718q2b74+wdo27bfJd0b/jht2ixt2PCdJGngwKGSpNWrV2rx4vm6deuWWrZsnWy/pk6dpG3bftetWzeVJ09ederUTa+8UlWS9OOPG/XZZ7P0zz8XlSdPXnXo0MUy70ngmiUAAAD853l55Va7dh20ePF8nT//90Ot488/D+r8+b/12WeLVaNGLU2cOEYrVnypceM+UdeuPfTFF4v111/hkqTZsz9VePhhTZgwVdOmzdatW7c0aFA/q/UdOBCmefOWqGnTFtqzZ5cGDuyt2rXrauHCL1SvXgMNHtxf4eHmAXTChDE6e/a0QkPnqEeP3vryy6WWeYZhaODAPvL0zKkFC5ZqwIAh2rTpey1ZsiDFffv1159lGIbmzftcdeu+oYED++jUqXtnCocPH6SEhETNnr1A8+cvVe7cz2nSpLGm+9K164caNWq8JGnNmu9VsmSA1XI7dvyhadMmqUOHzpo1a77Cww/r4sULlvlTp05SRMQZffJJqJYs+UoBAYEaN26E7t69q6ioqxoxYrBat35XX3yxUnXqvKGhQwfqxo3rD3rpHhphCQAAAM+EJk2aK1++ApoyZeJDPT8xMVEffthb+fLl1xtvNNadO3fUrl1HFS36kurVayBPz5w6c+a07ty5o1WrvlLv3gP08st+KlKkqAYNGq59+/boxInjlvU1a9ZCefPmU/78BbRy5VeqWvVVNWvWUgUKFFTz5m+ratXqWrZsSbI6bt26pZ9/3qwPP+ytYsWKKySkvNq2bW+Zv2fPLl28eEF9+gxUgQIvqnTpIHXp8qG++mpZivuWPXsO9e49QC++WEhvv91WJUsGaN26b2UYhipXrqoePXqrYMEXVahQYTVu3MwSpP69LwUKvKhs2bJLknLl8ko25HHt2tWqWbO2ateuq8KFi6h//8FW39lVqlRp9e49QC+9VEz58xdQixZv6/r167p69YoiIy8pPj5euXM/p+eff0EtWrytsWMnPdHv/GIYHgAAAJ4JTk5O6tWrnzp3bq/ffvslzc/PmTOX3NzcJEmZM9/7gP788y9Y5mfOnFl3797V+fPndPfuXXXq9K7V8xMTExURcUbFipWQJMtwP0k6c+aUGjR402p5P797geXfIiLOKCEhQS+95GOZVqLEy1brunHjul57rYrVtmNjY3X9+jXlyOGRbJ3Fi5eQi8v/fXFrsWIldObMKTk4OKhRoybavPkHHTp0QGfOnNbRo+FKTLT+Mtv798WW06dPqWHDxpbHOXJ4KE+evJbHtWvX1ZYtv+jbb7+xbCup/pdeKqYKFSqpR48uKlCgoCpVqqL69RvK1dU1Vdt+GIQlAAAAPDNKlgxQ3bpvaOrUiWrZso1lutkX7SYkJFg9Nrvex9Ex+UCtpOfNmPGZ3NyyWM3LmTOnrl+/N2zs/nBy/7+TJCYmKDExIdn0JPffSMHZ+f/O4CQkJKhAgRc1duykZM/JmtX8ZgtOTtaxIDExUQ4OjkpMTFSPHl108+ZNvfpqTVWs+Iru3r2rgQN7Wy1vVn/KdVs/zpTp/7Y9cuQQHTx4QLVr11HDhk2UK5eXJXQ6ODho/PgpOnz4kH7//Tf99tvP+uabrzVjxly99FKxVG8/LRiGBwAAgGfK++930507Mfryy88t05LCRnR0tGXaw17blDdvPjk5Oen69evKly+/8uXLr6xZs2ratMm6evWq6XMKFCioP/+0/l6nQ4cOqkCBgqbLOjs768iRw5Zpx44dtfw7f/6C+uefi/Lw8LRs/8KFvzVv3mzTUChJJ04cszpbFB5+WEWKFNXp0ye1f/9eTZkyQ23a/E8VKlTSlSuXJSW/612SlLYhSYULF1F4+J+Wx9HRt3Xu3DlJ927usGnT9xo+fLTateuoKlWq6ebN65ZtnTlzWqGhU/Tyy37q0KGzliz5St7e3tqx448Ut/eoCEsAAAB4puTI4aH33++mCxfOW6blzJlTzz3nrS++WKy//z6n9evX6o8/fn+o9WfJklX16zfUxIljtXfvbp06dVIjRgzR339HpDhcrVmzVvrllx/11VfLFBFxVsuXL9Vvv/2sRo2aJls2a1Z31a5dV1OmTNCffx7S3r27NX/+HMv84OByev755zV8+CCdOHFcYWH7NH78aLm6upqeHZPuBcMZM6bp7NnTWrRono4eDVe9eg3k7p5Njo6O+vHHH3Tx4gX9/PNmzZ8/W9K9O/6ZSRqqGB5+RLGxsVbz3nyzmX76abNlmN24caMUG3tHkuTiklmurm765ZefdOHCee3Y8YcmT54gSbp7967c3d21evXXWrjwM50//7e2bftdFy6cl49PcVsvxyNhGB4AAAAeWeEchZ+q7dSt20Dr1n2ryMhISfeG0/XvP0iffDJBrVs3U5kyZdWmzf/0xx9bH2r9Xbv2UGjoFH38cV/Fx8erVKlATZgwNcWw4uvrp0GDhmv+/DmaOXOaChQoqOHDx6T4Jbo9evTWJ59MUI8eXZQtWzY1adJcn346RdK94YJjx07WlCkT1KHDO3Jzy6Jq1Wqoa9cPUqz35Zf9dO1alNq2baX8+Qto4sSpyps3nyTpo4/6aeHCzzR79qfKn7+gPvigl0aOHKJjx44qVy6vZOsqXLioypYN0fvv/09Dh46ymhcQEKj+/Ydo7tyZmj59surWbaCiRe9de5UpUyYNHjxcoaFT9PXXX+qFF/LqnXf+p7lzZ+qvv8JVs2ZtjRo1QTNnTtfixQvk6empjh27Kji43ANfj4flYKR0/uw/6vLlm8nGST4LHBwkL69sz+z+Pwj9SRm9sY3+2EZ/bKM/ttEf2+zRn7t343TlygXlyvWCMmW6d42Ko6ODPDzd5ORoHgKehITEBF2Linngl9I6OzsqPj7R5jLPsqT+3P99Uv8lZsdrkqT3z4NwZgkAAAAPLTHR0LWoGDk6pnydypPY5oOCEvA4EJYAAADwSAgv+K8iLAEAAADPsHbtOtq7hAyLu+EBAAAAgAnOLP3H/X37nKb+OVGHog7KwzWHGuR/U28VbmXvsjIM+gMAAICUEJb+wxKNRPXf3UvFcxTX3MoLdcPpsvr82kdemXPr1by17F2e3dEfAAAezjN2M2U8pR7HccowvP+wqNirKpr9JX3o11v5subXK/leUelcQToYFWbv0jIE+gMAQNo4Ot776JiQEG/nSoAHi4u794W4Tk4Pf36IM0v/YblcvTQ4cISke8l636V9Cru6Xx/69bJzZRkD/QEAIG0cHZ2UKZOrbt26JicnJzk4ZOy/uycmOighgbNgKfmv9scwDMXFxerWrSi5ublbQv7DICw9I1r83Fj/xPyj8s9VVOXnq9q7nAyH/gAA8GAODg7KkSOnrly5qKtX/7F3OQ/k6OioxES+lDYl//X+uLm5K3v2nI+0DsLSM2JY6dGKzxyjYduGa8bhqerm29PeJWUo9AcAgNRxds6k557Lp/j4u/YuxSYHB8nTM6uiom6LS6yS+6/3x8nJ+ZHOKCUhLD0jinmUkJdXNnV5ubtG7R+mTiW6KZNjJnuXlWHQHwAAUs/BwUGZMrnYuwybHBwkV1dXZcp09z8ZBh4V/UmdjD3QFI/kauxV/X7xV6tpBd0L6W7iXUXH37ZTVRkH/QEAAIAtGSIsxcXFqV69etqxY0eKyxw+fFhNmzZVQECA3nzzTR06dCgdK3w6XYw+ryF7ByjyTqRl2l/Xw+Xh4qEcLh72KyyDoD8AAACwxe5hKTY2Vj179tSxY8dSXCY6OlodOnRQUFCQVq1apcDAQHXs2FHR0dHpWOnTp5hHCfnkKKYJB0bp9M1T+u3cb5oV/qlaFXnH3qVlCPQHAAAAttg1LB0/flzNmjXT2bNnbS63fv16Zc6cWX369FGRIkU0cOBAZc2aVd9//306Vfp0cnJw0ogy4+Tq5Kau2zpo6LahavxiUzV+sZm9S8sQ6A8AAABssesNHnbu3KmQkBD16NFDpUqVSnG5sLAwlSlTRg4ODpLuXVRYunRp7d+/X40bN06nap9OXq65NbzMGDk4SF5e2XT58k0u4rsP/QEAAEBK7BqWWrZsmarlIiMjVbRoUatpuXLlsjl0DwAAAAAexVNx6/CYmBi5uFjfntLFxUVxcXFpXtf/Pzlld46ODpYzZekhaVPOzo7pdubEMAwlJj7cxuhPxpHUm4zy3slo6I9t9Mc2+mMb/bGN/thGf2x71vuT2v1+KsJS5syZkwWjuLg4ubq6pnlduXJle1xlPZKExAQ5OTql+3Y9PLKm27YeZR/pT8aTUd47GRX9sY3+2EZ/bKM/ttEf2+iPbfTHtqciLHl7e+vy5ctW0y5fvqznnnsuzeu6csX+16Q4OTnK0zOr+v3WTyevn7RvMU9I4RyFNfaVsYqKuq2EhMQ0PZf+ZCwODvd+kGaE905GRH9soz+20R/b6I9t9Mc2+mPbs96fpP1/kKciLAUEBGju3LkyDEMODg4yDEN79+5Vp06d0rwuw1CGOSBOXj+pI1eP2LuMJ+5h+01/MpaM9N7JiOiPbfTHNvpjG/2xjf7YRn9soz+22f17llISGRmpO3fuSJJq166tGzduaNSoUTp+/LhGjRqlmJgYvf7663auEgAAAMB/VYYNS5UqVdL69eslSe7u7po9e7b27Nmjxo0bKywsTHPmzFGWLFnsXCUAAACA/6oMMwzv6NGjNh/7+/vrm2++Sc+SAAAAADzDMuyZJQAAAACwJ8ISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJiwa1iKjY3VgAEDFBQUpEqVKmn+/PkpLrtp0ya9/vrrCgwMVIsWLfTnn3+mY6UAAAAAnjV2DUvjx4/XoUOHtGjRIg0ZMkShoaH6/vvvky137NgxffTRR+rYsaPWrFmjEiVKqGPHjoqJibFD1QAAAACeBXYLS9HR0VqxYoUGDhwoX19f1axZU+3bt9fSpUuTLbt161YVLVpUDRs2VIECBdSzZ09FRkbq+PHjdqgcAAAAwLPAbmEpPDxc8fHxCgwMtEwrU6aMwsLClJiYaLWsh4eHjh8/rj179igxMVGrVq2Su7u7ChQokN5lAwAAAHhGONtrw5GRkfL09JSLi4tlmpeXl2JjY3Xt2jXlzJnTMr1OnTr66aef1LJlSzk5OcnR0VGzZ89Wjhw57FE6AAAAgGeA3cJSTEyMVVCSZHkcFxdnNT0qKkqRkZEaPHiwAgICtGzZMvXv31/ffPONcuXKlabtOjg8Wt1IO3puW0bvT1J9Gb1Oe6E/ttEf2+iPbfTHNvpjG/2x7VnvT2r3225hKXPmzMlCUdJjV1dXq+kTJ06Uj4+PWrVqJUkaMWKEXn/9da1cuVIdOnRI03Zz5cr2CFUjrTw9s9q7hAztaeoP7x3b6I9t9Mc2+mMb/bGN/thGf2yjP7bZLSx5e3srKipK8fHxcna+V0ZkZKRcXV2VPXt2q2X//PNPtW7d2vLY0dFRxYsX1/nz59O83StXbsowHq32R+Xk5PhUfUh+FFFRt5WQkPjgBe9DfzIWB4d7P0gzwnsnI6I/ttEf2+iPbfTHNvpjG/2x7VnvT9L+P4jdwlKJEiXk7Oys/fv3KygoSJK0Z88elSxZUo6O1vedeO6553TixAmraadOnVLJkiXTvF3D0DN5QNgT/bbtaekP7x3b6I9t9Mc2+mMb/bGN/thGf2yjP7bZ7W54bm5uatiwoYYOHaoDBw5o8+bNmj9/vtq0aSPp3lmmO3fuSJKaNWumr776SqtXr9aZM2c0ceJEnT9/Xo0aNbJX+QAAAAD+4+x2ZkmS+vfvr6FDh+qdd96Ru7u7unXrplq1akmSKlWqpDFjxqhx48aqU6eObt++rdmzZ+vixYsqUaKEFi1alOabOwAAAABAatk1LLm5uWncuHEaN25csnlHjx61ety0aVM1bdo0vUoDAAAA8Iyz2zA8AAAAAMjICEsAUqXfzo80LmykvcsAAABIN4QlAA+04dQG7Yj8w95lAAAApCvCEgCbbsTd0KTdk1Q8Rwl7lwIAAJCu7HqDBwAZ38wj01W/SH1FRJ2X+B4GAADwDOHMEoAU7b28Wweu7ldH/472LgUAACDdEZYAmIpLiNUnh8brA7+P5Orsau9yAAAA0h1hCYCpRcfmyydHcQXnLmfvUgAAAOyCa5YAmPr5wmZdjb2i179/VQ4OUlxCnCTp14s/a/1rP9q5OgAAgCePsATA1ORyoUpITJCDg+TpmVVj/5ggGVKH4p3tXRoAAEC6ICwBMPW82wuSJAcHySt7NmVxziIZUt6s+excGQAAQPrgmiUAAAAAMMGZJQCp0i/gYxl8zxIAAHiGcGYJAAAAAExwZgl4Cjk6OsjR0SFdt+nklL5/W0lMNJSYyKksAABgP4Ql4Cnj6OggD083OTk6pet2PT2zpuv2EhITdC0qhsAEAADshrAEPGUcHR3k5Oikfr/108nrJ+1dzhNROEdhjX1lrBwdHQhLAADAbghLwFPq5PWTOnL1iL3LAAAA+M/iBg8AAAAAYIKwBAAAAAAmCEsAAAAAYIKwBAAAAAAmCEsAkEZxCXH632+ttP/KXsu0C9Hn1WtHd9X5obre/a2ldkXusGOFAADgcSAsAUAaxCXEauT+ITp965RlmmEY+nh3P+XMnFMzK85XzTy1NWRvf/0Tc9GOlQIAgEdFWAKAVDp985S6bOug89F/W03feXGnzkf/rR5+fVXQ/UW1LNpGL3v4aUPEd3aqFAAAPA6EJQBIpbCr+1QqV2mFVphjNf1A5AH55PCRm7ObZZqfp78OXzuU3iUCAIDHiC+lBYBUalCwsen0yJhI5crsZTXNM3NORd6JTI+yAADAE8KZJQB4RHfi7yiTo4vVNBdHF91NjLNTRQAA4HEgLAHAI3JxSh6M4hLj5OrkaqeKAADA40BYAoBH5J3FW1djr1pNi4q9qpyZc9mpIgAA8DgQlgDgEfnn9texG0cVmxBrmXYwKkwve/jZsSoAAPCoCEsA8IiCvIOU29Vb4w+M1KmbJ/XFicUKv3ZEr+evZ+/SAADAIyAsAcAjcnJ00qigcboSe0Wdtv5Pm//+QcPLjJG32/P2Lg0AADwCbh0OAA/hpzrbrB7nzZpPU8rNsFM1AADgSeDMEgAAAACY4MwSgP8cR0cHOTo6pOs2nZzS929PiYmGEhONdN0mAADPGsISgP8UR0cHeXi6ycnRKV236+mZNV23l5CYoGtRMRk6MP19+5ym/jlRf147qGzO2dXwxSZqXriVvcvKMOiPbfTHNvpjG/1JWVxCnGYemaYfz2+Si3Mm1c5bT+18OsrBIX3/yPi0ICwB+E9xdHSQk6OT+v3WTyevn7R3OU9E4RyFNfaVsXJ0dMiwYSnRSFT/3b1UPEdxrai/QgfPhWvkviHKnTm3Xs1by97l2R39sY3+2EZ/bKM/tn16eIr2Xdmj8SGfKFNWQ71+6S1vt+dVv0BDe5eWIRGWAPwnnbx+UkeuHrF3Gc+sqNirKpr9JfUo2VsFsj+vrM/lVGCuIB2MCuPDiujPg9Af2+iPbfQnZTfibmj9ubWaGDxNJTxelpdXNjUr1FxHrv1JWEoBN3gAADx2uVy9NDhwhLI4Z5VhGDp49YAOXN2vUrlK27u0DIH+2EZ/bKM/ttGflB2MClNWZ3cF5Aq0TGtZtI36+A+0Y1UZG2eWAABP1GsrX9OF2xdU7rmKqvx8VXuXk+HQH9voj230xzb6Y+1C9Hk97/aCNp7boKUnFinRIUG18tRRqyLvyNGBcyhm6AoA4In6pOonGh00QSduHNOMw1PtXU6GQ39soz+20R/b6I+1mIRo/R0dobURq9U3YKB6BfXSqtMr9PWpL+1dWoZFWAIAPFG+Xr4q711RnUt013cRa3Q38a69S8pQ6I9t9Mc2+mMb/bHm5OCk2/G3NbDUUPl6llSNgjX0dtF39N3ZNfYuLcMiLAEAHrursVf1+8VfraYVdC+ku4l3FR1/205VZRz0xzb6Yxv9sY3+pCxXZi+5OLroebcXLNPyZy2gS3f+sWNVGRthCQDw2F2MPq8hewco8k6kZdpfN8Ll4eKhHC4e9issg6A/ttEf2+iPbfQnZSU8fBWXGKeIW2ct087cOm0VnmCNsAQAeOyKeZSQT45iGh82SieundD2S9s0+8inalXkHXuXliHQH9voj230xzb6k7IC7gVVLncFjTswUsdvHNPWv7dq2YkleqNgI3uXlmFxNzwAwGPn5OCkEWXGafqfk/X2+reV2dFVjV9sqsYvNrN3aRkC/bGN/thGf2yjP7YNKDVU0w9PVvdt78stk6savthEjQo2tXdZGRZhCQDwRHi55tbwoDHy8sqmy5dvyjDsXVHGQn9soz+20R/b6E/K3DO5q3/AYDmUEv1JBYbhAQAAAIAJziwBwDPE0dFBjo4O6b5dJ6f0/dtcYqKhxMS0/6mU/thGf2yjP7bRH9uehf48bG/sibAEAM8IR0cHeXi6ycnRKd237emZNV23l5CYoGtRMWn6pUx/bKM/ttEf2+iPbc9Kfx6mN/ZGWAKAZ4Sjo4OcHJ3U77d+Onn9pL3LeWIK5yissa+MlaOjQ5o/rNCflNEf2+iPbfTHtmehPw/bG3sjLAHAM+bk9ZM6cvWIvcvIsOiPbfTHNvpjG/2xjf5kPNzgAQAAAABMEJYAAAAAwARhCQAAAABMEJYAAAAAwARhCQAAAABMEJYAAAAAwARhCQAAAABMEJYAAAAAwARhCQAAAABMEJYAAAAAwARhCQAAAABMEJYAAAAAwARhCQAAAABMEJYAAAAAwARhCQAAAABMEJYAAAAAwARhCQAAAABMEJYAAAAAwARhCQAAAABM2DUsxcbGasCAAQoKClKlSpU0f/78FJc9evSoWrRoIX9/f9WvX1/bt29Px0oBAAAAPGvsGpbGjx+vQ4cOadGiRRoyZIhCQ0P1/fffJ1vu5s2b+t///qeiRYtq7dq1qlmzprp27aorV67YoWoAAAAAzwK7haXo6GitWLFCAwcOlK+vr2rWrKn27dtr6dKlyZb95ptvlCVLFg0dOlQFCxZU9+7dVbBgQR06dMgOlQMAAAB4Fjjba8Ph4eGKj49XYGCgZVqZMmU0a9YsJSYmytHx/3Lczp079eqrr8rJyckybeXKlelaLwAAAIBni93OLEVGRsrT01MuLi6WaV5eXoqNjdW1a9eslo2IiFDOnDk1aNAgVaxYUc2aNdOePXvSuWIAAAAAz5KHDkvHjh3Tpk2bFB0drYiICBmGkabnx8TEWAUlSZbHcXFxVtOjo6M1Z84c5c6dW3PnzlXZsmXVrl07XbhwIc11OzjY/79nDf2xjf7YRn9soze20R/b6I9t9Mc2+mMb/UlZen3mfhx9T/MwvOvXr+uDDz7Qzp07JUk//PCDRo0apYiICM2ZM0d58+ZN1XoyZ86cLBQlPXZ1dbWa7uTkpBIlSqh79+6SpJdffllbt27VmjVr1KlTpzTVnytXtjQtj0fj6ZnV3iVkaPTHNvpjG/2xjf7YRn9soz+20R/b6E/KnrbepDksjRw5Um5ubtq+fbuqVKkiSRo9erR69+6tkSNHaubMmalaj7e3t6KiohQfHy9n53tlREZGytXVVdmzZ7daNnfu3CpcuLDVtBdffPGhzixduXJTaTwJ9tg5OTk+dQfKw4qKuq2EhMQ0PYf+2EZ/bKM/KXuWeiPRnwehP7bRH9voj230J2UP87v9SXBwSN1JlDQPw9uyZYt69uxpFWhy5syp/v37a9euXaleT4kSJeTs7Kz9+/dbpu3Zs0clS5a0urmDJJUqVUpHjx61mnby5MlUn8W6n2HY/79nDf2xjf7YRn9soze20R/b6I9t9Mc2+mMb/UlZen3mfhx9f6hrlmJjY5NNu3r1quUMUWq4ubmpYcOGGjp0qA4cOKDNmzdr/vz5atOmjaR7Z5nu3LkjSWrevLmOHj2q6dOn68yZM5o6daoiIiLUoEGDhykfAAAAAB4ozWGpXr16GjVqlI4dOyYHBwdFR0dr+/btGjRokOrUqZOmdfXv31++vr565513NGzYMHXr1k21atWSJFWqVEnr16+XJOXNm1efffaZfv75Z9WrV08///yz5syZI29v77SWDwAAAACpkuZrlvr06aPJkyercePGunv3rho2bCgnJyc1adJEffr0SdO63NzcNG7cOI0bNy7ZvH8PuytTpoxWrVqV1nIBAAAA4KGkOSy5uLioX79++vDDDxUREaGEhATlz59fWbNm1dWrV5PdyQ4AAAAAnkZpHoZXokQJSyh66aWXVLx4cWXNmlV///23Xn311SdRIwAAAACku1SdWVq9erVlCJxhGOrSpYsyZcpktcylS5eUO3fux18hAAAAANhBqsJSzZo1de7cOUnSzp07VapUKWXNan0v+CxZsqhmzZqPv0IAAAAAsINUhaWsWbOqa9euku7dma5u3bpycXF5ooUBAAAAgD2l+QYPjRo10pEjR3Ts2DElJt779l3DMBQXF6fDhw9r2LBhj71IAAAAAEhvaQ5LoaGhCg0NlZeXl65cuSJvb29dvnxZCQkJDMMDAAAA8J+R5rvhLV++XMOGDdPvv/+uF154QUuWLNG2bdtUoUIFFShQ4EnUCAAAAADpLs1hKSoqSpUrV5Z07zbi+/btU/bs2dWjRw+tX7/+sRcIAAAAAPaQ5rDk7e2tiIgISVKRIkV0+PBhSZK7u7uuXr36eKsDAAAAADtJ8zVLTZs2Vc+ePTV69GjVqFFDbdu21XPPPadt27apePHiT6JGAAAAAEh3aQ5LnTp10vPPPy83Nzf5+/urf//++vLLL+Xh4aHRo0c/iRoBAAAAIN2lOSyNHDlSbdq0sdzMoWnTpmratOljLwwAAAAA7CnN1yx9++23cnRM89MAAAAA4KmS5jNLbdu21bBhw9S2bVvlyZNHmTNntpqfJ0+ex1YcAAAAANhLmsPStGnTJElbtmyRJDk4OEiSDMOQg4ODjhw58hjLAwAAAAD7SHNY+vHHH59EHQAAAACQoaQ5LOXNm/dJ1AEAAAAAGUqaw9Lhw4c1cuRIHTx4UPHx8cnmMwwPAAAAwH9BmsPSgAEDlC1bNk2dOlXu7u5PoiYAAAAAsLs0h6WTJ09q7dq1Kliw4JOoBwAAAAAyhDR/YVKJEiV04sSJJ1ELAAAAAGQYaT6z1KBBA3388cdq3LixChYsqEyZMlnNb9iw4eOqDQAAAADsJs1h6bPPPpOrq6vWr1+fbJ6DgwNhCQAAAMB/QprD0k8//fQk6gAAAACADCVVYWnXrl0KDAyUs7Ozdu3aleJyDg4OCgoKemzFAQAAAIC9pCostWnTRlu3blXOnDnVunXrFJdzcHDge5YAAAAA/CekKiwVK1ZMs2fPVtmyZbVjxw7lyJHjSdcFAAAAAHaVqrD02muvaf/+/Vq9erVu3rypl156SWXLllVISIjKli0rDw+PJ1wmAAAAAKSvVIWl999/3/LvU6dOKSwsTPv379enn36q48ePq1ChQipbtqyCg4NVu3btJ1YsAAAAAKSXNN8Nr1ChQipUqJAaNmyouLg47d69WytXrtQ333yjZcuWEZYAAAAA/CekKSzFxcVpz5492rFjh3bs2KE///xT2bJlU5kyZdSrVy8FBwc/qToBAAAAIF2lKiyFhoZqx44dCgsLk7u7u4KCglSvXj0NHz5cL7300pOuEQAAAADSXarDkre3tz766CM1a9ZMbm5uT7ouAAAAALCrVIWliRMnaufOnfriiy80ceJE+fn5KSQkRCEhISpdurQyZ878pOsEAAAAgHSVqrBUr1491atXT5J08eJFyzVLH3/8sS5duiR/f38FBwcrODhY5cuXf6IFAwAAAEB6SPPd8J5//nk1aNBADRo0kCQdOnRIy5cv18KFCzVr1iwdOXLksRcJAAAAAOktTWEpJiZGf/75pw4cOGD579KlSypRooSaN2+uoKCgJ1UnAAAAAKSrVIWlgQMH6sCBAzp58qScnZ3l7++vsmXLqlmzZgoMDOSGDwAAAAD+c1IVli5fvqz69esrKChIJUuWVKZMmZ50XQAAAABgV6kKS7Nnz37SdQAAAABAhuJo7wIAAAAAICMiLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJiwa1iKjY3VgAEDFBQUpEqVKmn+/PkPfM65c+cUGBioHTt2pEOFAAAAAJ5Vzvbc+Pjx43Xo0CEtWrRI58+fV9++fZUnTx7Vrl07xecMHTpU0dHR6VglAAAAgGeR3cJSdHS0VqxYoblz58rX11e+vr46duyYli5dmmJY+vbbb3X79u10rhQAAADAs8huw/DCw8MVHx+vwMBAy7QyZcooLCxMiYmJyZaPiorShAkTNHz48PQsEwAAAMAzym5hKTIyUp6ennJxcbFM8/LyUmxsrK5du5Zs+bFjx6pRo0Z66aWX0rFKAAAAAM8quw3Di4mJsQpKkiyP4+LirKZv27ZNe/bs0XfffffI23VweORVII3ouW30xzb6Yxv9sY3+2EZ/bKM/ttEf2+hPyjJCb1Jbg93CUubMmZOFoqTHrq6ulml37tzR4MGDNWTIEKvpDytXrmyPvA6knqdnVnuXkKHRH9voj230xzb6Yxv9sY3+2EZ/bKM/KXvaemO3sOTt7a2oqCjFx8fL2fleGZGRkXJ1dVX27Nktyx04cEARERHq3r271fPfe+89NWzYMM3XMF25clOG8ej1PwonJ8en7kB5WFFRt5WQkPwaNFvoj230xzb6k7JnqTcS/XkQ+mMb/bGN/thGf1L2ML/bnwQHh9SdRLFbWCpRooScnZ21f/9+BQUFSZL27NmjkiVLytHx/y6l8vf318aNG62eW6tWLY0cOVIVK1ZM83YNQ3YPS88a+m0b/bGN/thGf2yjP7bRH9voj230xzb6k7KnqTd2C0tubm5q2LChhg4dqtGjR+vSpUuaP3++xowZI+neWaZs2bLJ1dVVBQsWTPZ8b29v5cqVK73LBgAAAPCMsNvd8CSpf//+8vX11TvvvKNhw4apW7duqlWrliSpUqVKWr9+vT3LAwAAAPAMs9uZJene2aVx48Zp3LhxyeYdPXo0xefZmgcAAAAAj4NdzywBAAAAQEZFWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE4QlAAAAADBBWAIAAAAAE3YNS7GxsRowYICCgoJUqVIlzZ8/P8Vlf/nlFzVo0ECBgYGqX7++fvzxx3SsFAAAAMCzxq5hafz48Tp06JAWLVqkIUOGKDQ0VN9//32y5cLDw9W1a1e9+eabWr16tZo3b64PPvhA4eHhdqgaAAAAwLPA2V4bjo6O1ooVKzR37lz5+vrK19dXx44d09KlS1W7dm2rZb/77juVK1dObdq0kSQVLFhQP/30kzZs2KDixYvbo3wAAAAA/3F2C0vh4eGKj49XYGCgZVqZMmU0a9YsJSYmytHx/056NWrUSHfv3k22jps3b6ZLrQAAAACePXYbhhcZGSlPT0+5uLhYpnl5eSk2NlbXrl2zWrZIkSJWZ5COHTumP/74Q+XLl0+vcgEAAAA8Y+x2ZikmJsYqKEmyPI6Li0vxeVevXlW3bt1UunRpvfrqq2neroNDmp+CR0TPbaM/ttEf2+iPbfTHNvpjG/2xjf7YRn9SlhF6k9oa7BaWMmfOnCwUJT12dXU1fc7ly5f17rvvyjAMTZs2zWqoXmrlypUt7cXioXl6ZrV3CRka/bGN/thGf2yjP7bRH9voj230xzb6k7KnrTd2C0ve3t6KiopSfHy8nJ3vlREZGSlXV1dlz5492fL//POP5QYPixcvVs6cOR9qu1eu3JRhPHzdj4OTk+NTd6A8rKio20pISEzTc+iPbfTHNvqTsmepNxL9eRD6Yxv9sY3+2EZ/UvYwv9ufBAeH1J1EsVtYKlGihJydnbV//34FBQVJkvbs2aOSJUsmO2MUHR2t9u3by9HRUYsXL1bu3LkferuGIbuHpWcN/baN/thGf2yjP7bRH9voj230xzb6Yxv9SdnT1Bu73eDBzc1NDRs21NChQ3XgwAFt3rxZ8+fPt5w9ioyM1J07dyRJs2fP1tmzZzVu3DjLvMjISO6GBwAAAOCJsduZJUnq37+/hg4dqnfeeUfu7u7q1q2batWqJUmqVKmSxowZo8aNG+uHH37QnTt31LRpU6vnN2rUSGPHjrVH6QAAAAD+4+waltzc3DRu3DjLGaP7HT161PLv77//Pj3LAgAAAAD7DcMDAAAAgIyMsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJghLAAAAAGCCsAQAAAAAJuwalmJjYzVgwAAFBQWpUqVKmj9/forLHj58WE2bNlVAQIDefPNNHTp0KB0rBQAAAPCssWtYGj9+vA4dOqRFixZpyJAhCg0N1ffff59suejoaHXo0EFBQUFatWqVAgMD1bFjR0VHR9uhagAAAADPAruFpejoaK1YsUIDBw6Ur6+vatasqfbt22vp0qXJll2/fr0yZ86sPn36qEiRIho4cKCyZs1qGqwAAAAA4HGwW1gKDw9XfHy8AgMDLdPKlCmjsLAwJSYmWi0bFhamMmXKyMHBQZLk4OCg0qVLa//+/elZMgAAAIBniN3CUmRkpDw9PeXi4mKZ5uXlpdjYWF27di3Zss8995zVtFy5cunixYvpUSoAAACAZ5CzvTYcExNjFZQkWR7HxcWlatl/L5cajo6SYaT5aU9EiZwl5ObsZu8ynogXs79o+bfjQ0Zy+mMb/bGN/qTsv9wbif48CP2xjf7YRn9soz8pexy/2x+n/z9g7cHLGYZ9osOGDRs0cuRIbd261TLtxIkTqlOnjnbs2CEPDw/L9A4dOsjHx0e9evWyTJswYYJOnDihWbNmpWfZAAAAAJ4Rdst13t7eioqKUnx8vGVaZGSkXF1dlT179mTLXr582Wra5cuXkw3NAwAAAIDHxW5hqUSJEnJ2dra6ScOePXtUsmRJOf7r3FxAQID27dunpJNghmFo7969CggISM+SAQAAADxD7BaW3Nzc1LBhQw0dOlQHDhzQ5s2bNX/+fLVp00bSvbNMd+7ckSTVrl1bN27c0KhRo3T8+HGNGjVKMTExev311+1VPgAAAID/OLtdsyTdu3HD0KFDtXHjRrm7u6tdu3Zq27atJKlYsWIaM2aMGjduLEk6cOCAhgwZohMnTqhYsWIaNmyYXn75ZXuVDgAAAOA/zq5hCQAAAAAyqgxw4z4AAAAAyHgISwAAAABggrAEAAAAACYISwAAAABggrCUwRUrVkw7duywmvbbb7/J19dX06dPf+Dzd+zYoWLFikmSVq1aZfm3JJ05c0bdunVT2bJlFRAQoDfffFPffffd492Bx+RR+yBJf/zxh06cOPFYa8jIoqOjNWXKFNWuXVv+/v4KCQlR9+7ddezYMXuXlmFcv35dY8eOVfXq1RUQEKDXX39dCxcuVGJi4gOfe/97S5KOHDmivXv3ms77r7h7966mT5+uV199VX5+fqpatarGjBmjW7du2bu0dFesWDGr/8qVK6ePP/5Yt2/ftndpGUL16tWT9Sjpv/T+OVq9enWtWrUqXbf5b+m536l5n2aEnqTVg44pW/v0tP3+flT/7lXx4sUVHBys999/XxcuXHjg8+//HXbu3DkVK1ZM586de9JlZ1jO9i4AaRMWFqYPPvhALVu2VLdu3R64fGBgoH7//XdJkoODg2V6TEyM2rRpo2rVqmnp0qXKnDmzfv/9d/Xt21eZMmXSa6+99sT24XFIax8kqW3btlq8eLGKFCnyUNv8/ffflSNHjod6bnq7ffu2WrZsqejoaPXr10/FixdXVFSUli5dqubNm2v16tXKnz+/vcu0q6ioKL311lt67rnnNGrUKOXLl08HDx7UiBEjFBERoUGDBtl8/v3vLUnq0qWLunbtqtKlSz/p0u1m4sSJ2rZtm0aOHKn8+fMrIiJCo0aN0pkzZzRr1ix7l5fupk+frsDAQCUmJurChQsaPHiwxo8fr2HDhtm7tAxhwIABqlOnTrLpT8vP0adVat6nX3/9tbJkyWLnStOOYyr17u9VYmKijh8/riFDhqhv375avHixnat7uhCWniInT55Uhw4dVLt2bQ0YMCBVz3FxcVHu3LklSTlz5rT8e9u2bYqOjtbQoUMtyxYsWFCHDx/WV199laHD0sP04XFI6t3T4NNPP9WVK1e0fv16Zc+eXZKUN29ejRkzRhcuXNDChQsfGAb+6yZNmiQXFxfNmzdPmTNnliTlz59frq6u6ty5s95++20VKlQoxeff/956VnzzzTcaPXq0ypcvL0nKly+fhg4dqlatWunSpUt67rnn7Fxh+sqRI4flGPD29lbHjh01bNgwwtL/ly1btmfuPZIRpOZ9mjNnTjtX+XA4plLv373y9vZW9+7d1bt3b928eVPZsmWzY3VPF4bhPSX++ecftW/fXiEhIRo5cqTVWaLjx4+rXbt2CgwMVMmSJdWyZUvLcLP7T6UWKlTI8uHP0dFRt2/f1v79+62289FHH2nkyJGWxz/++KMaNmyokiVLKigoSD179rTrMJOH7UP16tUlSW3atLEM21uxYoVq164tPz8/hYSEaNiwYUpISJAk9evXT/369dMbb7yh8uXL6/Tp01an8atXr66lS5eqWbNmKlmypBo0aKBDhw5ZatmzZ49atGihgIAAlSpVSu+9954uXbqULj1KTEzUN998o3fffdcSlO43fvx49e7dW6tWrVLz5s3VpUsXlSlTRt9++61u3bql/v37q3z58vLz81Pt2rW1efNmSff+Wvn2229brWvy5MmWL5K+ceOGevfurdKlS6tSpUoaMWKE7ty5Y7VspUqV5O/vr9atW9t1OGBcXJzWrVunVq1aWYJSkmrVqmnhwoXKmzdvqt9brVu31t9//63+/furX79+Vuv7+OOP1alTJ6tpI0aMUO/evS3DGzZu3KgaNWqoZMmS6tixo65du/bkdv4RODg4aPv27VbDFAMDA7Vu3Tp5enoqNjZWEyZMUJUqVVSqVCl16tTJMuQjNftq6z35NHBzc7N6XL16dU2YMEGVKlVSw4YNZRiGzZ+p06dPV+vWrZOtI2loUevWrTVv3jy9++678vf3V5MmTXTmzBkNGjRIgYGBqlWrlnbu3Jk+O/sIkt47//6vf//+ku4NmZo6dapCQkIs753du3ercePG8vf3V/369fXDDz9Y1hcXF6cxY8aocuXK8vX1VfXq1bV8+XK77NvD2rRpk+rUqaOAgAA1adLE6nU0DEOffvqpKlWqpKCgIHXq1Ennz59PcV0Pep9KyY+rmTNnql27dvL399drr72mLVu2PKE9TR9hYWEKDAzU119/nWze5s2b5e/vb9nHixcv6oMPPlBwcLDls0VcXFx6l5wuXFxcJN37DPig39m4j4EMzcfHx9i0aZNRr149IzAw0Lh9+7bV/ISEBOPVV181Bg0aZJw5c8Y4dOiQ0axZM6Njx46GYRjG9u3bDR8fn2TrvXPnjlGnTh2jWLFiRvPmzY3p06cb+/fvt1rmzJkzhq+vr7F8+XIjIiLC2LJlixESEmLMnz//ye1wCh61D1euXDF8fHyMH374wbh165axY8cOw9/f3/jhhx+MiIgIY8OGDYafn5/xww8/GIZhGH379jWKFy9u/Pjjj0ZYWJilhu3btxuGYRjVqlUzQkJCjE2bNhknT540WrVqZbz11luGYRjGjRs3jDJlyhjTp083zp49a+zevduoVauWMWLEiHTp1alTpwwfH59kr+e/rVy50vDx8TEmT55sHD9+3Lhy5YrRr18/46233jIOHz5snDp1yhg4cKARHBxsxMbGGocPHzaKFy9uXL582bKOWrVqGV999ZVhGIbRtWtXo2PHjkZ4eLgRFhZmNG3a1Ojfv79hGIaxceNGIzg42Ni1a5dx5swZ48MPPzTefPPNJ9eEBzh27Jjh4+NjHDx4MMVl0vLeioqKMl555RVj4cKFxo0bN6zmbdu2zfDz8zNu3rxpWW/FihWNn3/+2YiIiDB8fHyMRo0aGWFhYcb+/fuN8uXLG5MnT37CHXg4oaGhho+Pj1GlShVj8ODBxvfff2/cunXLMr9v375GzZo1jT/++MM4cuSI0a5dO6Nhw4ZGQkLCA/f1Qe/JjOb+nweGce9nTNu2ba3e59WqVTMqV65shIeHG0eOHHngz9Rp06YZb7/9ttV2qlWrZqxcudIwDMN4++23jcDAQGP9+vXGsWPHjFq1ahlBQUHGlClTjOPHjxudO3c26tevnw57/2D31/1vsbGxxqVLlyz/rVmzxvDz87O8H318fIwGDRoYJ06cMI4dO2ZcunTJKF26tLFkyRLj9OnTxurVq41SpUoZu3btMgzDMKZPn27UqlXL2Ldvn3H27Flj6tSphq+vrxEZGfnAWtLLv4+X+x05csQIDAw0vv32W+P06dPGokWLDH9/f+P06dOGYRjG4sWLjddee83Yvn27cfz4cWPAgAHGa6+9ZsTFxZmu70HvU8NIflz5+/sbK1euNM6cOWN0797dqFKlipGQkPAYO/DoHvQ6Js0/efKkERISYsybN88yL6n/e/bsMUqVKmWsW7fOMIx7x2KtWrWM9957zwgPDze2bdtmvPrqq+n2+/pJMevVmTNnjEaNGhnt2rUzDMP27+z7f4cl/eyOiIhI353IQAhLGZyPj49RoUIFo3HjxkZAQIAxffp0q/m3b9825s6daxUeli1bZrz66quGYaQclgzDMK5du2aMHTvWqFq1quHj42P4+PgYDRs2NE6dOmUYxr0P3cuWLbN6To8ePSxvpvT0qH1IWkfSL6uDBw8aa9eutVpHs2bNjNDQUMMw7n3oa9q0abIa7g9LY8eOtczbvHmz4evraxiGYVy6dMmYN2+ekZiYaJk/ceJEo02bNg+9/2mxd+9ew8fHx/I6GoZhbN261ShVqpTlvzp16hgrV640ihUrZsTExFiWW7lypXH06FHL4xMnThg+Pj7G+fPnDcMwjNq1axtffvmlYRiGER4ebvj6+hpRUVHGmTNnjOLFixs3btywPDc8PNwybcGCBUbFihWNv//+2zCMex8skz7o2MOePXsMHx8fy4cRM2l9b93/y+n+eUnhaM2aNYZh3AsFwcHBRlxcnOWX0M8//2xZz+jRo4133333se3r47ZmzRrjrbfeMooXL274+PgYgYGBxtdff21cu3bNKF68uLFlyxbLslFRUUZAQIDx22+/PXBfH/SezGh8fHyMkiVLGqVKlTICAgIMHx8fIzg42OqYqlatmjFhwgTL4wf9TE1NWOrZs6dl3vjx442qVataftb88ssvlp9D9latWjXDz8/P6udO0s+e+124cMEICQkxPv/8c8s0Hx8f44svvrA8/uSTT4yuXbtaPW/MmDGWaZs2bbL6eRIbG2v4+PhYpmX0sNSrVy9jzJgxVtO6du1qmfbKK68YP/74o2VefHy8Ua5cOatp/5bS+zTJv4+rbt26WeYdOXLE8PHxMS5evJj2HX2CHnRMVatWzZg9e7ZRvXp1Y9KkSVbPTTqmgoODrd6DmzdvNgICAoxr165Zpv3666/Gyy+/nCxgPk3+3Ss/Pz8jMDDQ6NWrl3H16tUH/s4mLFnjmqWnQM6cOTV//nytXLlSkydPVo0aNVS8eHFJUpYsWdSiRQutXr1ahw4d0smTJ3X48GF5eXk9cL05cuRQ37591bdvX/3111/68ccftWDBAnXv3l3ffvutXnzxRbm4uGjmzJk6duyYjh07puPHj6tBgwZPepdNPc4++Pn5ydXVVdOmTdPx48d19OhRnTlzRpUqVbIskzdvXpv1vPjii5Z/u7u76+7du5LuXdvUsGFDLVy4UEeOHLGsP70u/E8aenfjxg3LtMDAQK1evVqStHHjRi1btkySlCtXLrm6ulqWa9iwoTZv3qyvvvpKJ0+e1J9//ilJlqFQderU0caNG/XWW29p48aNqlChgjw8PLRv3z4lJibqlVdesaolMTFRZ86cUd26dfX555/r1VdfValSpVSjRg01adLkifXgQTw8PCTduxteSh7lvXU/R0dHvf766/r+++/1xhtvaMOGDapZs6YyZcpkWaZgwYKWf99/LGVEb7zxht544w1FRUXp999/1+eff66BAweqaNGiSkxMVEBAgGVZDw8PFSpUSCdOnLAMAU5pX1PznsxoRo4cqYCAABmGoaioKH3++edq0aKF1q5dq1y5ckmy/jnyOH6m5suXz/JvV1dX5cmTxzIc2dXVNUMdO927d1etWrWspjk7/9/Hjri4OHXv3l0VKlRQq1atrJa7v28nT57Uzz//rMDAQMu0u3fvWo6pGjVqaOvWrRo7dqzlfSrpqRnCeeLECW3YsMFq6ODdu3dVqVIl3b59WxcvXlSPHj3k6Ph/V07cuXNHp0+fTnGdKb1PixUrJj8/v2TL//v3mSTFx8c/+s49Zg86pqZNm6b4+Hg9//zzyZ47atQoxcfH64UXXrBMO3HihF588UWrG0SULl1a8fHxOnv2rEqUKPEE9iJ9JPXq9u3bmj59uv7++2999NFH8vT01P79+23+zoY1wtJToH///sqRI4feeecdfffdd+rfv79WrFghZ2dn3b59W02aNJGnp6eqV6+uevXq6eTJk5o/f77NdX711Vdyd3e33CnFx8dHPj4+8vX11XvvvaerV6/q0qVLatGihapXr66goCC1bdtWixYtSo9dNvU4+7BlyxZ16dJFDRs2VOXKldWlS5dkF2X/+1qWf7v/w+79/vnnH7355pvy9fVVhQoV1KxZM/3yyy8KCwt7uB1Po4IFC1oCjL+/v6R711IkfUhN+hAnJd/HPn36aN++fWrQoIFatGih3Llz66233rLMr1OnjmbPnq0bN25o48aNateunaR7H0qyZcumlStXJqvH29tbrq6u2rBhg7Zu3aqff/5Z8+bN01dffaXVq1cnu84jPRQoUEDZsmXTn3/+aenR/d5//301a9ZM48ePT/N7y0y9evXUunVr3bp1S5s2bdKECROs5qd0LGUk4eHhWr16teWaLE9PT9WvX1+vvfaaatWqleI1DgkJCVbXTqS0r6l5T2Y03t7elvfViy++KF9fX4WEhGjDhg2W6/vuf4+Fh4fb/Jl6/zWYSf79gfX+D4aSrD5AZzS5cuWyCsf/NmbMGN24cUMjRoxINu/+vsXHx6t+/frJrv1L6sUnn3yiFStWqHHjxmrYsKGGDBliuU71aZCQkKD33ntPDRs2tJru6upqCXxTp05NdsMZszvAPeh9un37dtOwZPa+NAzjYXfpiXnQMVW1alUFBwdbvjbj/htZNG/eXJkyZdLIkSNVvnx5ubi4mP6eT+r50xK2U3J/r6ZOnaomTZqoc+fOWr58+QN/Z6fX55WnRcb9KQsLJycny/9HjRqlv/76S7Nnz5Yk7dy5U5cuXdLixYvVvn17VahQQefPn3/gD7m//vpLc+fOTfZ9MtmzZ5eLi4vc3d21Zs0alS1bVpMmTVLLli3l7++vM2fO2O0H6OPsw4oVK/Tmm29q+PDhatq0qYoUKaKzZ88+ln3btGmTcuTIodmzZ+udd95RUFCQIiIi0q1vzs7OevPNN7Vo0SLT77/5559/TJ9369Ytfffdd/rkk0/UvXt31axZ03LmJan2IkWKqEiRIvryyy91+vRp1ahRQ9K9m4fcvHlTDg4OKliwoAoWLKg7d+5o/PjxiouL0y+//KIVK1aoatWqGjZsmNasWaPTp0/rr7/+ekJdsM3Z2Vl16tTR0qVLk13I+9NPP+mnn35SRETEQ723zAQEBMjb21tz586VYRgKDg5+XLuSbhISErRgwQLLX+2TuLi4yNXVVR4eHnJ2dra6aUxUVJTOnDlj866CSZ7kezK9ODo6yjCMFD9kPehnaqZMmaxuoHP79m1dvXo1XWpPb2vWrNGqVas0depUZc2a1eayhQoV0pkzZyw/WwoWLKgff/xRa9eulSR9+eWXGjRokHr16qU6deooJiZGUsb8sG+mUKFCOnfunNX+LV++XL/99puyZ8+uXLlyKTIy0jLvhRde0IQJE3Tq1Klk63rQ+/RpvQtealWvXl2tWrWSt7d3sj9K1axZU126dFFMTIzmzJkj6V7vT58+bXWjmf3798vZ2VkFChRIz9KfKBcXF40cOVJHjhzRwoULH/g7G9YIS0+ZEiVKqG3btpo5c6aOHj0qDw8PRUdHa/PmzTp37pxWrFhh+gHw39q0aaOIiAh17dpVe/bsUUREhH7++WcNGjRIrVq1kouLizw8PHT06FEdOHBAp06d0tixY3Xw4MEM8UZ6mD5kyZJFx44d082bNy1nXo4ePapjx46pX79+ioyMfCz75uHhofPnz+uPP/5QRESE5syZo40bN6Zr37p166bcuXOrefPm+v777xUREaEDBw5o0KBBmjZtmsqUKZPsOS4uLnJzc9PGjRt17tw5bdmyRcOHD5ckq9rr1q2rmTNn6pVXXrEM1yhSpIgqV66sXr166cCBA/rzzz/Vv39/RUdHK3v27EpMTNT48eO1adMmnTt3TqtWrZKbm5vV0I/01q1bN926dUvt2rXTzp07dfbsWa1YsUL9+vVTmzZtVLJkyTS9t7JkyaKTJ0+meCe7OnXqaMGCBapdu7Yl+D9NfH19VbVqVXXu3Flr167VuXPntH//fg0ZMkRxcXFq2LChmjZtqhEjRmjHjh0KDw9X79699fzzz6tixYoPXP+TfE8+KdevX1dkZKQiIyN1+vRpDR8+XAkJCSme1XjQz9SSJUsqPDxcGzZs0KlTpzR48OAMfeboQW7evGnpz/3/hYeHW77vxcvLyzI9pWDYsmVLHTp0SJ988olOnz6ttWvXavLkycqTJ4+ke339+eefFRERod27d6tPnz6SlOGOnQMHDui3336z+i8mJkZt27bV+vXrtXjxYp09e1YLFy7UwoULLT8f27ZtqylTpuinn37S6dOn9fHHH2vv3r0qXLhwsm086H367yFsT5uUjqno6GjLMk5OTvr444/1zTffaN++fVbPd3d3V8+ePTV37lydO3dOFStWVP78+dWnTx8dPXpU27dv14gRI1SvXj3Tu8k+zZLuoDljxgy5u7vb/J0NawzDewp169ZNGzduVP/+/fXVV19ZhqvExsaqWLFiGjx4sAYOHJjiGQTp3jCkZcuWaerUqeratatu3rypPHnyqEmTJpahVa1bt9bhw4fVtm1bZc6cWWXLllWXLl20bt269NpVm9LSB29vb7Vu3Vrjx4/X2bNn1bVrV/Xv319vvfWW3N3dVaVKFbVo0UJHjhx55Lpef/117dq1S927d5eDg4NKliypvn37avr06YqLi7PcuvNJcnNz05IlS7Ro0SLNmDFDZ86ckYuLi/z9/TV9+nTVqFEj2Tedu7i4aMKECRo3bpyWLFmifPny6f3339eUKVN05MgRy5f51qlTR5MmTVLdunWtnj9+/HiNHDlSbdu2lbOzsypXrqyPP/5Y0r2/9nXv3l1jxoxRZGSkChcurBkzZtj1iwRz586tZcuWafr06erVq5euXbumAgUKqHv37mrRooWcnJzS9N5q0aKFJk6cqNOnTye7/bN0r2+zZs0y/ULFp8WUKVM0a9YshYaG6vz588qSJYsqVaqkzz//XO7u7urbt6/GjRun7t27Ky4uThUqVNDChQtTdcw/yffkk3L/F2K7ubnJz89Pc+fOTfELnx/0M7V8+fJq27atJSS9++676faVA0/C6NGjNXr06GTTnZyclJCQkOw7qfLmzauffvop2fJ58+bVrFmzNHHiRM2bN0/e3t6Wr3ZI2s7QoUNVt25deXt7q2nTpnJyctKRI0eSXZNhTxMnTkw2bePGjSpVqpTGjx+v6dOna/z48SpQoIAmTZqksmXLSpLatWun27dva/Dgwbp165b8/Pw0b968FH9+Puh9+jRL6Zj64IMPrB6HhISoVq1aGj58eLLbhzdq1EjLli3TyJEjNWvWLM2YMUMjRoxQs2bNlDVrVtWvX189e/Z8ovthLz169NAPP/ygCRMm2PydDWsOxtNynhoAnmJbt27VoEGD9OOPP5pemwIAADIeziwBwBN06dIl7dmzR7Nnz1aTJk0ISgAAPEWe3sHQAPAUuHnzpgYMGCBPT0+9++679i4HAACkAcPwAAAAAMAEZ5YAAAAAwARhCQAAAABMEJYAAAAAwARhCQAAAABMEJYAAHZ3/fp1jR07VtWrV1dAQIBef/11LVy4UImJifYuLUVr1qxRYGCgzpw5Y+9SAABPCN+zBACwq6ioKL311lt67rnnNGrUKOXLl08HDx7UiBEjFBERoUGDBtm7RFOLFi3S4MGDVbBgQXuXAgB4Qrh1OADArj7++GPt379fK1euVObMmS3Tf/rpJ3Xu3FkbNmxQoUKF7FihuZs3bypbtmz2LgMA8AQxDA8AYDdxcXFat26dWrVqZRWUJKlatWpauHCh8ubNq+PHj6tdu3YKDAxUyZIl1bJlS504cUKStGPHDlWvXl1ff/21KlasqLJly2ru3LnatWuXateurcDAQPXp08cypK9169YKDQ1VixYtFBAQYLUuSbpw4YI6deqkgIAAVa9eXaGhoUpISLDM37dvn1q0aKHKlSurevXqWrZsmWVev379NGbMGH344YcKCAhQlSpVtHr16ifYQQDAk0RYAgDYzdmzZxUdHa2SJUsmm+fg4KBy5crJ2dlZnTp1Ut68ebVmzRp9+eWXSkhI0IQJEyzLXrp0SZs3b9aSJUvUqVMnTZ48WaNHj9bYsWM1efJkrV+/Xj/++KNl+dmzZ+u1117TqlWr5O3trQ4dOiguLk6GYahr167KlSuXvvnmG40ZM0Zr167VrFmzJEknTpzQO++8o7Jly2rVqlXq1q2bxo0bp02bNlnWvXTpUvn6+uq7775TrVq1NGTIEN28efMJdhEA8KRwzRIAwG5u3LghSTaHs925c0fNmzdXy5YtlSVLFklSo0aN9Nlnn1mWuXv3rvr27atChQopT548Gj9+vFq1aqVSpUpJkkqUKKGTJ09aln/llVfUtm1bSdKIESNUuXJlbd26Va6urjp//rxWrFghR0dHFS5cWH379lX//v3VpUsXffXVV3r55ZfVs2dPSVLhwoV14sQJffbZZ6pZs6YkqVixYnrvvfckSR988IEWL16sY8eOqXTp0o+naQCAdENYAgDYjYeHh6R7d8NLSZYsWdSiRQutXr1ahw4d0smTJ3X48GF5eXlZLZc/f35JkqurqyQpb968lnmurq6Ki4uzPL4/uLi7u6tQoUI6ceKEXF1dde3aNZUpU8YyPzExUXfu3FFUVJROnDghf39/q+0GBgbqyy+/tDx+8cUXrdYtSfHx8Tb7AADImAhLAAC7KVCggLJly6Y///wzWQiRpPfff1/NmjXT+PHj5enpqerVq6tevXo6efKk5s+fb7Wss7P1rzRHx5RHmv972YSEBDk6Oio+Pl6FCxfWjBkzkj0nW7Zsya6rku6FqfuvacqUKVOyZbiXEgA8nbhmCQBgN87OzqpTp46WLl1qdeZHunc3vJ9++kkRERG6dOmSFi9erPbt26tChQo6f/78IwWQ8PBwy79v3ryps2fPqlixYipUqJDOnz+vnDlzqmDBgipYsKDOnTunadOmycHBQYUKFVJYWJjVuvbt25ch79YHAHh0hCUAgF1169ZNt27dUrt27bRz506dPXtWK1asUL9+/dSmTRuVLFlS0dHR2rx5s86dO6cVK1aYhqu0WLt2rVavXq0TJ05o4MCBypMnj0JCQlSpUiXlzZtXvXv31tGjR7V7924NGjRIbm5ucnJyUsuWLXXkyBFNnjxZp06d0jfffKMvvvhCrVq1eowdAQBkFAzDAwDYVe7cubVs2TJNnz5dvXr10rVr11SgQAF1795dLVq0kJOTk7p06aJhw4YpNjZWxYoV0+DBgzVw4ED9888/D7XN+vXr68svv9SQIUMUFBSkuXPnWobmzZw5UyNGjFCzZs2UJUsW1a5dW3379pUk5cmTR7Nnz9b48eM1f/585cmTR/369dObb7752PoBAMg4+FJaAMAzpXXr1goODla3bt3sXQoAIINjGB4AAAAAmCAsAQAAAIAJhuEBAAAAgAnOLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLAEAAACACcISAAAAAJggLP2/9utAAAAAAECQv/UCI5RFAAAAQ5YAAACGLAEAAIwA14CsLB3UoZcAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = winrate_champs(\"Win\",\"Loss\",0).sort_values(\"winrate\", ascending=False)\n",
    "x = x[(x.total > min_games)].iloc[0:10]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "bars = plt.bar(x.index, x.winrate, color=\"C2\", label=\"Número de partidas\")\n",
    "\n",
    "for bar, partidas in zip(bars, x.total):\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width() / 2, yval, int(partidas), ha=\"center\", va=\"bottom\", color=\"C2\")\n",
    "\n",
    "plt.xlabel(\"Campeón\")\n",
    "plt.ylabel(\"Winrate\")\n",
    "plt.title(\"Winrate por Campeón aliado \\n (Con estos aliados tienes más victorias)\")\n",
    "plt.legend(loc=\"upper right\")\n",
    "plt.ylim(0, 1.1)\n",
    "\n",
    "plt.savefig(\"graficos/with_allies_positive_winrate.png\");"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:15.443481Z",
     "start_time": "2024-05-27T06:09:14.842840Z"
    }
   },
   "id": "6c4dea0e9aded214",
   "execution_count": 10
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 900x400 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "creep_score = df[df[\"Is_User\"] == \"user\"][[\"Champion\", \"Minions\", \"Match Duration\"]]\n",
    "creep_score[\"Minions per Minute\"] = creep_score.Minions / ((creep_score[\"Match Duration\"]-120) / 60)\n",
    "creep_score.set_index(\"Champion\", inplace=True)\n",
    "\n",
    "plt.figure(figsize=(9, 4))\n",
    "\n",
    "creep_score[\"Minions per Minute\"].groupby(\"Champion\").mean().sort_values(ascending=False).iloc[0:8].plot.bar()\n",
    "\n",
    "plt.xlabel(\"Campeón\")\n",
    "plt.ylabel(\"Súbditos por Minuto\")\n",
    "plt.title(\"Súbditos por Minuto por Campeón \\n (Los jugadores de High Elo tienen aproximadamente 7-9+)\")\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "plt.savefig(\"graficos/minions_per_min.png\", bbox_inches=\"tight\");"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:15.895056Z",
     "start_time": "2024-05-27T06:09:15.447489Z"
    }
   },
   "id": "2af43c8aec258a16",
   "execution_count": 11
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Otro tipo de datos"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "a5c09b1bd7f9bfa6"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Cambiar LOW_KDA por el score que considera el usuario como \"bajo\"\n",
    "LOW_KDA = 0.8\n",
    "\n",
    "low_kda_users_w = df[(df[\"Is_User\"] == \"other\") & (df[\"KDA\"] < LOW_KDA) & (df[\"Is_Win\"] == \"Win\") & (df.index.isin(wins.index.unique()))]\n",
    "low_kda_users_l = df[(df[\"Is_User\"] == \"other\") & (df[\"KDA\"] < LOW_KDA) & (df[\"Is_Win\"] == \"Loss\") & (df.index.isin(losses.index.unique()))]\n",
    "\n",
    "# Cambiar HIGH_KDA por el score que considera el usuario como \"alto\"\n",
    "HIGH_KDA = 6\n",
    "\n",
    "high_kda_users_w = df[(df[\"Is_User\"] == \"other\") & (df[\"KDA\"] > HIGH_KDA) & (df[\"Is_Win\"] == \"Win\") & (df.index.isin(wins.index.unique()))]\n",
    "high_kda_users_l = df[(df[\"Is_User\"] == \"other\") & (df[\"KDA\"] > HIGH_KDA) & (df[\"Is_Win\"] == \"Loss\") & (df.index.isin(losses.index.unique()))]\n",
    "\n",
    "end_kda_df = [(\"Win\",high_kda_users_w.index.nunique()/wins.index.nunique(),low_kda_users_w.index.nunique()/wins.index.nunique()),\n",
    "              (\"Loss\",high_kda_users_l.index.nunique()/losses.index.nunique(),low_kda_users_l.index.nunique()/losses.index.nunique())]\n",
    "end_kda_df = pd.DataFrame(end_kda_df, columns=[\"Match\",\"High KDA\",\"Low KDA\"])\n",
    "end_kda_df.set_index(\"Match\", inplace=True)\n",
    "\n",
    "end_kda_df.plot.bar(color=[\"C0\",\"C3\"])\n",
    "\n",
    "plt.xlabel(\"Resultado de Partida\")\n",
    "plt.ylabel(\"% de partidas\")\n",
    "plt.title(\"% de partidas, en las que hay jugadores con High KDA y Low KDA\")\n",
    "plt.ylim(0, 1.1)\n",
    "\n",
    "plt.savefig(\"graficos/players_high_low_kda.png\", bbox_inches=\"tight\");"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:16.352549Z",
     "start_time": "2024-05-27T06:09:15.897068Z"
    }
   },
   "id": "d0cf2d63fe02065a",
   "execution_count": 12
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = contar(data=df, x=\"Side\", user=\"user\")\n",
    "sort = [\"Blue\", \"Red\"]\n",
    "x.index = pd.CategoricalIndex(x.index, categories=sort, ordered=True)\n",
    "x.sort_index(inplace=True)\n",
    "\n",
    "bars = plt.bar(x.index, x.Winrate, color=['C0', \"C3\"])\n",
    "\n",
    "for bar, partidas in zip(bars, x.Games):\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width() / 2, yval, int(partidas), ha=\"center\", va=\"bottom\")\n",
    "\n",
    "plt.xlabel(\"Equipo\")\n",
    "plt.ylabel(\"Winrate\")\n",
    "plt.title(\"Winrate por Equipo, con el número de partidas jugadas\")\n",
    "plt.ylim(0, 1.1)\n",
    "\n",
    "plt.savefig(\"graficos/side_winrate.png\");"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:16.626929Z",
     "start_time": "2024-05-27T06:09:16.355548Z"
    }
   },
   "id": "a92f3aa6c55c17c0",
   "execution_count": 13
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = winrate_champs(\"Loss\",\"Win\",1).sort_values(\"winrate\",ascending=False)\n",
    "x = x[(x.total > min_games)].iloc[0:10]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "bars = plt.bar(x.index, x.winrate, color=\"C5\", label=\"Número de partidas\")\n",
    "\n",
    "for bar, partidas in zip(bars, x.total):\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width() / 2, yval, int(partidas), ha=\"center\", va=\"bottom\", color=\"C5\")\n",
    "\n",
    "plt.xlabel(\"Campeón\")\n",
    "plt.ylabel(\"Winrate\")\n",
    "plt.title(\"Winrate por Campeón jugado en el equipo enemigo \\n (VS estos campeones tienes más victorias)\")\n",
    "plt.legend(loc=\"upper right\")\n",
    "plt.ylim(0, 1.1)\n",
    "\n",
    "plt.savefig(\"graficos/vs_champs_positive_winrate.png\");"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:17.177917Z",
     "start_time": "2024-05-27T06:09:16.628937Z"
    }
   },
   "id": "8126fccb9e73c66d",
   "execution_count": 14
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = winrate_champs(\"Win\",\"Loss\",0).sort_values(\"winrate\",ascending=True)\n",
    "x = x[(x.total > min_games)].iloc[0:10]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "bars = plt.bar(x.index, x.winrate, color=\"C1\", label=\"Número de partidas\")\n",
    "\n",
    "for bar, partidas in zip(bars, x.total):\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width() / 2, yval, int(partidas), ha=\"center\", va=\"bottom\", color=\"C1\")\n",
    "\n",
    "plt.xlabel(\"Campeón\")\n",
    "plt.ylabel(\"Winrate\")\n",
    "plt.title(\"Winrate por Campeón aliado \\n (Con estos aliados tienes menos victorias)\")\n",
    "plt.legend(loc=\"upper right\")\n",
    "plt.ylim(0, 1.1)\n",
    "\n",
    "plt.savefig(\"graficos/with_allies_negative_winrate.png\");"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:17.714132Z",
     "start_time": "2024-05-27T06:09:17.179927Z"
    }
   },
   "id": "5f3654be0d4259e2",
   "execution_count": 15
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x600 with 2 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "user_games = df[df[\"Is_User\"] == \"user\"]\n",
    "user_kda = user_games.groupby(\"Champion\")[\"KDA\"].mean()\n",
    "user_kda1 = user_kda.sort_values(ascending=True).nlargest(8)\n",
    "\n",
    "fig, axs = plt.subplots(nrows=2, figsize=[10,6])\n",
    "sns.lineplot(data=user_kda1, color=\"C0\", ax=axs[0])\n",
    "\n",
    "user_kda2 = user_kda.sort_values(ascending=False).nsmallest(8)\n",
    "\n",
    "sns.lineplot(data=user_kda2, color=\"C3\", ax=axs[1])\n",
    "\n",
    "axs[0].set(xlabel=None, ylabel=None)\n",
    "axs[1].set(xlabel=None, ylabel=None)\n",
    "fig.supylabel(\"KDA Promedio\", x=0.07)\n",
    "fig.supxlabel(\"Campeón\")\n",
    "fig.suptitle(\"KDA Promedio con los campeones\", y=0.92)\n",
    "fig.savefig(\"graficos/user_kdamean.png\");"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-05-27T06:09:18.190984Z",
     "start_time": "2024-05-27T06:09:17.716143Z"
    }
   },
   "id": "752f679c71961aa8",
   "execution_count": 16
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}