cs2-analysis.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/binisme/cs2-analysis?scriptVersionId=200472916\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"markdown","id":"ca238419","metadata":{"papermill":{"duration":0.016836,"end_time":"2024-10-11T12:56:20.647645","exception":false,"start_time":"2024-10-11T12:56:20.630809","status":"completed"},"tags":[]},"source":["# CS:GO Analytics Project\n","## Introduction\n","In this notebook, we will explore the fascinating world of Counter-Strike: Global Offensive (CS:GO) through a comprehensive analysis of three distinct datasets—maps_statistics, weapons_statistics, and competitive_players_statistics. Each dataset holds a wealth of information, allowing us to gain insights into the dynamics of the game, weapon performance, and the prowess of individual players."]},{"cell_type":"code","execution_count":1,"id":"ea977b94","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:20.678424Z","iopub.status.busy":"2024-10-11T12:56:20.678063Z","iopub.status.idle":"2024-10-11T12:56:24.034539Z","shell.execute_reply":"2024-10-11T12:56:24.033634Z"},"papermill":{"duration":3.374467,"end_time":"2024-10-11T12:56:24.03694","exception":false,"start_time":"2024-10-11T12:56:20.662473","status":"completed"},"tags":[]},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt\n","import seaborn as sns"]},{"cell_type":"code","execution_count":2,"id":"b82598a1","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.06892Z","iopub.status.busy":"2024-10-11T12:56:24.068509Z","iopub.status.idle":"2024-10-11T12:56:24.104553Z","shell.execute_reply":"2024-10-11T12:56:24.103822Z"},"papermill":{"duration":0.05458,"end_time":"2024-10-11T12:56:24.106453","exception":false,"start_time":"2024-10-11T12:56:24.051873","status":"completed"},"tags":[]},"outputs":[],"source":["\n","df_map = pd.read_csv('/kaggle/input/counter-strike-2-statistics/maps_statistics.csv')\n","df_top = pd.read_csv('/kaggle/input/counter-strike-2-statistics/top_100_players.csv')\n","df_weapon = pd.read_csv('/kaggle/input/counter-strike-2-statistics/weapons_statistics.csv')"]},{"cell_type":"markdown","id":"dea2feea","metadata":{"papermill":{"duration":0.014456,"end_time":"2024-10-11T12:56:24.135519","exception":false,"start_time":"2024-10-11T12:56:24.121063","status":"completed"},"tags":[]},"source":["## Data Understanding"]},{"cell_type":"code","execution_count":3,"id":"01c709ed","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.166263Z","iopub.status.busy":"2024-10-11T12:56:24.165884Z","iopub.status.idle":"2024-10-11T12:56:24.186379Z","shell.execute_reply":"2024-10-11T12:56:24.185533Z"},"papermill":{"duration":0.037922,"end_time":"2024-10-11T12:56:24.18835","exception":false,"start_time":"2024-10-11T12:56:24.150428","status":"completed"},"tags":[]},"outputs":[{"data":{"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>Map</th>\n","      <th>Play Rate</th>\n","      <th>T-Win %</th>\n","      <th>CT-Win %</th>\n","      <th>Matches</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Dust II</td>\n","      <td>26.7%</td>\n","      <td>49.2%</td>\n","      <td>50.8%</td>\n","      <td>168,288</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Mirage</td>\n","      <td>23.9%</td>\n","      <td>49.1%</td>\n","      <td>50.9%</td>\n","      <td>150,883</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Inferno</td>\n","      <td>13.1%</td>\n","      <td>50.3%</td>\n","      <td>49.7%</td>\n","      <td>82,737</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Nuke</td>\n","      <td>4.3%</td>\n","      <td>47.0%</td>\n","      <td>53.0%</td>\n","      <td>27,211</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Vertigo</td>\n","      <td>4.0%</td>\n","      <td>47.8%</td>\n","      <td>52.2%</td>\n","      <td>25,390</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       Map Play Rate T-Win % CT-Win %  Matches\n","0  Dust II     26.7%   49.2%    50.8%  168,288\n","1   Mirage     23.9%   49.1%    50.9%  150,883\n","2  Inferno     13.1%   50.3%    49.7%   82,737\n","3     Nuke      4.3%   47.0%    53.0%   27,211\n","4  Vertigo      4.0%   47.8%    52.2%   25,390"]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["df_map.head()"]},{"cell_type":"code","execution_count":4,"id":"af217c67","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.219093Z","iopub.status.busy":"2024-10-11T12:56:24.21881Z","iopub.status.idle":"2024-10-11T12:56:24.229026Z","shell.execute_reply":"2024-10-11T12:56:24.228141Z"},"papermill":{"duration":0.027841,"end_time":"2024-10-11T12:56:24.230958","exception":false,"start_time":"2024-10-11T12:56:24.203117","status":"completed"},"tags":[]},"outputs":[{"data":{"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>Rank</th>\n","      <th>Name</th>\n","      <th>CS Rating</th>\n","      <th>Region</th>\n","      <th>Wins</th>\n","      <th>Ties</th>\n","      <th>Losses</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>sH0oRuk YouTube</td>\n","      <td>31,203</td>\n","      <td>Asia</td>\n","      <td>278</td>\n","      <td>9</td>\n","      <td>98</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>TTpo100Razeb Daniel</td>\n","      <td>29,626</td>\n","      <td>Europe</td>\n","      <td>250</td>\n","      <td>12</td>\n","      <td>174</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>REZPEZTâ¢</td>\n","      <td>29,588</td>\n","      <td>Europe</td>\n","      <td>133</td>\n","      <td>2</td>\n","      <td>58</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>rAdek1ngâ</td>\n","      <td>29,548</td>\n","      <td>South America</td>\n","      <td>75</td>\n","      <td>1</td>\n","      <td>8</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>ð</td>\n","      <td>29,480</td>\n","      <td>Asia</td>\n","      <td>106</td>\n","      <td>0</td>\n","      <td>10</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Rank                 Name CS Rating         Region  Wins  Ties  Losses\n","0     1      sH0oRuk YouTube    31,203           Asia   278     9      98\n","1     2  TTpo100Razeb Daniel    29,626         Europe   250    12     174\n","2     3           REZPEZTâ¢    29,588         Europe   133     2      58\n","3     4          rAdek1ngâ    29,548  South America    75     1       8\n","4     5                 ð    29,480           Asia   106     0      10"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["df_top.head()"]},{"cell_type":"code","execution_count":5,"id":"f06956f2","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.262196Z","iopub.status.busy":"2024-10-11T12:56:24.261889Z","iopub.status.idle":"2024-10-11T12:56:24.274859Z","shell.execute_reply":"2024-10-11T12:56:24.274054Z"},"papermill":{"duration":0.030839,"end_time":"2024-10-11T12:56:24.276738","exception":false,"start_time":"2024-10-11T12:56:24.245899","status":"completed"},"tags":[]},"outputs":[{"data":{"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>Weapon</th>\n","      <th>KPR</th>\n","      <th>HS %</th>\n","      <th>Chest %</th>\n","      <th>Leg %</th>\n","      <th>Total Kills</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>AK-47</td>\n","      <td>1.2</td>\n","      <td>17.8%</td>\n","      <td>59.4%</td>\n","      <td>16.7%</td>\n","      <td>370,567</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>M4A1-S</td>\n","      <td>1.1</td>\n","      <td>14.6%</td>\n","      <td>60.3%</td>\n","      <td>18.3%</td>\n","      <td>181,934</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>AWP</td>\n","      <td>1.6</td>\n","      <td>14.5%</td>\n","      <td>68.7%</td>\n","      <td>10.1%</td>\n","      <td>164,754</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>M4A1</td>\n","      <td>1.2</td>\n","      <td>18.0%</td>\n","      <td>60.6%</td>\n","      <td>15.5%</td>\n","      <td>104,012</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>USP-S</td>\n","      <td>0.9</td>\n","      <td>21.2%</td>\n","      <td>63.5%</td>\n","      <td>10.5%</td>\n","      <td>94,958</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Weapon  KPR   HS % Chest %  Leg % Total Kills\n","0   AK-47  1.2  17.8%   59.4%  16.7%     370,567\n","1  M4A1-S  1.1  14.6%   60.3%  18.3%     181,934\n","2     AWP  1.6  14.5%   68.7%  10.1%     164,754\n","3    M4A1  1.2  18.0%   60.6%  15.5%     104,012\n","4   USP-S  0.9  21.2%   63.5%  10.5%      94,958"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["df_weapon.head()"]},{"cell_type":"code","execution_count":6,"id":"1bc8784a","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.315937Z","iopub.status.busy":"2024-10-11T12:56:24.315603Z","iopub.status.idle":"2024-10-11T12:56:24.344173Z","shell.execute_reply":"2024-10-11T12:56:24.343138Z"},"papermill":{"duration":0.053038,"end_time":"2024-10-11T12:56:24.346565","exception":false,"start_time":"2024-10-11T12:56:24.293527","status":"completed"},"tags":[]},"outputs":[{"data":{"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>Map</th>\n","      <th>Play Rate</th>\n","      <th>T-Win %</th>\n","      <th>CT-Win %</th>\n","      <th>Matches</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>10</td>\n","      <td>10</td>\n","      <td>10</td>\n","      <td>10</td>\n","      <td>10</td>\n","    </tr>\n","    <tr>\n","      <th>unique</th>\n","      <td>10</td>\n","      <td>10</td>\n","      <td>10</td>\n","      <td>10</td>\n","      <td>10</td>\n","    </tr>\n","    <tr>\n","      <th>top</th>\n","      <td>Dust II</td>\n","      <td>26.7%</td>\n","      <td>49.2%</td>\n","      <td>50.8%</td>\n","      <td>168,288</td>\n","    </tr>\n","    <tr>\n","      <th>freq</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["            Map Play Rate T-Win % CT-Win %  Matches\n","count        10        10      10       10       10\n","unique       10        10      10       10       10\n","top     Dust II     26.7%   49.2%    50.8%  168,288\n","freq          1         1       1        1        1"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["df_map.describe()"]},{"cell_type":"code","execution_count":7,"id":"ee362214","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.381482Z","iopub.status.busy":"2024-10-11T12:56:24.381143Z","iopub.status.idle":"2024-10-11T12:56:24.402192Z","shell.execute_reply":"2024-10-11T12:56:24.401314Z"},"papermill":{"duration":0.03955,"end_time":"2024-10-11T12:56:24.404207","exception":false,"start_time":"2024-10-11T12:56:24.364657","status":"completed"},"tags":[]},"outputs":[{"data":{"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>Rank</th>\n","      <th>Wins</th>\n","      <th>Ties</th>\n","      <th>Losses</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>100.000000</td>\n","      <td>100.00000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>50.500000</td>\n","      <td>95.96000</td>\n","      <td>2.170000</td>\n","      <td>35.190000</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>29.011492</td>\n","      <td>73.86432</td>\n","      <td>3.206858</td>\n","      <td>47.761126</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000</td>\n","      <td>21.00000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>25.750000</td>\n","      <td>37.75000</td>\n","      <td>0.000000</td>\n","      <td>7.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>50.500000</td>\n","      <td>79.50000</td>\n","      <td>1.000000</td>\n","      <td>16.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>75.250000</td>\n","      <td>130.25000</td>\n","      <td>2.250000</td>\n","      <td>44.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>100.000000</td>\n","      <td>376.00000</td>\n","      <td>17.000000</td>\n","      <td>305.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             Rank       Wins        Ties      Losses\n","count  100.000000  100.00000  100.000000  100.000000\n","mean    50.500000   95.96000    2.170000   35.190000\n","std     29.011492   73.86432    3.206858   47.761126\n","min      1.000000   21.00000    0.000000    0.000000\n","25%     25.750000   37.75000    0.000000    7.000000\n","50%     50.500000   79.50000    1.000000   16.000000\n","75%     75.250000  130.25000    2.250000   44.000000\n","max    100.000000  376.00000   17.000000  305.000000"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["df_top.describe()"]},{"cell_type":"code","execution_count":8,"id":"a507b300","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.43698Z","iopub.status.busy":"2024-10-11T12:56:24.436693Z","iopub.status.idle":"2024-10-11T12:56:24.447801Z","shell.execute_reply":"2024-10-11T12:56:24.447016Z"},"papermill":{"duration":0.029802,"end_time":"2024-10-11T12:56:24.449838","exception":false,"start_time":"2024-10-11T12:56:24.420036","status":"completed"},"tags":[]},"outputs":[{"data":{"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>KPR</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>20.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>1.060000</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>0.290915</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.700000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>0.875000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1.200000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>1.900000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             KPR\n","count  20.000000\n","mean    1.060000\n","std     0.290915\n","min     0.700000\n","25%     0.875000\n","50%     1.000000\n","75%     1.200000\n","max     1.900000"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["df_weapon.describe()"]},{"cell_type":"markdown","id":"44772b4d","metadata":{"papermill":{"duration":0.015858,"end_time":"2024-10-11T12:56:24.481682","exception":false,"start_time":"2024-10-11T12:56:24.465824","status":"completed"},"tags":[]},"source":["## Data Preparation"]},{"cell_type":"markdown","id":"2ba0a552","metadata":{"papermill":{"duration":0.015634,"end_time":"2024-10-11T12:56:24.513397","exception":false,"start_time":"2024-10-11T12:56:24.497763","status":"completed"},"tags":[]},"source":["### Clean data"]},{"cell_type":"code","execution_count":9,"id":"110acb2a","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.546904Z","iopub.status.busy":"2024-10-11T12:56:24.546563Z","iopub.status.idle":"2024-10-11T12:56:24.554981Z","shell.execute_reply":"2024-10-11T12:56:24.554201Z"},"papermill":{"duration":0.027419,"end_time":"2024-10-11T12:56:24.556936","exception":false,"start_time":"2024-10-11T12:56:24.529517","status":"completed"},"tags":[]},"outputs":[],"source":["# Convert perccentage to decimals\n","df_map['Play Rate'] = df_map['Play Rate'].str.rstrip('%').astype(float)\n","df_map['T-Win %'] = df_map['T-Win %'].str.rstrip('%').astype(float)\n","df_map['CT-Win %'] = df_map['CT-Win %'].str.rstrip('%').astype(float)\n","df_map['Matches'] = df_map['Matches'].str.replace(',','').astype(int)"]},{"cell_type":"code","execution_count":10,"id":"b756a742","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.589844Z","iopub.status.busy":"2024-10-11T12:56:24.589559Z","iopub.status.idle":"2024-10-11T12:56:24.601472Z","shell.execute_reply":"2024-10-11T12:56:24.600625Z"},"papermill":{"duration":0.03053,"end_time":"2024-10-11T12:56:24.603476","exception":false,"start_time":"2024-10-11T12:56:24.572946","status":"completed"},"tags":[]},"outputs":[{"data":{"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>Map</th>\n","      <th>Play Rate</th>\n","      <th>T-Win %</th>\n","      <th>CT-Win %</th>\n","      <th>Matches</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Dust II</td>\n","      <td>26.7</td>\n","      <td>49.2</td>\n","      <td>50.8</td>\n","      <td>168288</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Mirage</td>\n","      <td>23.9</td>\n","      <td>49.1</td>\n","      <td>50.9</td>\n","      <td>150883</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Inferno</td>\n","      <td>13.1</td>\n","      <td>50.3</td>\n","      <td>49.7</td>\n","      <td>82737</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Nuke</td>\n","      <td>4.3</td>\n","      <td>47.0</td>\n","      <td>53.0</td>\n","      <td>27211</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Vertigo</td>\n","      <td>4.0</td>\n","      <td>47.8</td>\n","      <td>52.2</td>\n","      <td>25390</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       Map  Play Rate  T-Win %  CT-Win %  Matches\n","0  Dust II       26.7     49.2      50.8   168288\n","1   Mirage       23.9     49.1      50.9   150883\n","2  Inferno       13.1     50.3      49.7    82737\n","3     Nuke        4.3     47.0      53.0    27211\n","4  Vertigo        4.0     47.8      52.2    25390"]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["df_map.head()"]},{"cell_type":"code","execution_count":11,"id":"5226902a","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.637906Z","iopub.status.busy":"2024-10-11T12:56:24.637622Z","iopub.status.idle":"2024-10-11T12:56:24.660008Z","shell.execute_reply":"2024-10-11T12:56:24.658969Z"},"papermill":{"duration":0.041362,"end_time":"2024-10-11T12:56:24.661995","exception":false,"start_time":"2024-10-11T12:56:24.620633","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 10 entries, 0 to 9\n","Data columns (total 5 columns):\n"," #   Column     Non-Null Count  Dtype  \n","---  ------     --------------  -----  \n"," 0   Map        10 non-null     object \n"," 1   Play Rate  10 non-null     float64\n"," 2   T-Win %    10 non-null     float64\n"," 3   CT-Win %   10 non-null     float64\n"," 4   Matches    10 non-null     int64  \n","dtypes: float64(3), int64(1), object(1)\n","memory usage: 528.0+ bytes\n"]}],"source":["df_map.info()"]},{"cell_type":"code","execution_count":12,"id":"0cdf4bfe","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.69596Z","iopub.status.busy":"2024-10-11T12:56:24.695677Z","iopub.status.idle":"2024-10-11T12:56:24.703626Z","shell.execute_reply":"2024-10-11T12:56:24.702823Z"},"papermill":{"duration":0.027216,"end_time":"2024-10-11T12:56:24.70552","exception":false,"start_time":"2024-10-11T12:56:24.678304","status":"completed"},"tags":[]},"outputs":[],"source":["df_weapon['HS %'] = df_weapon['HS %'].str.rstrip('%').astype(float)\n","df_weapon['Chest %'] = df_weapon['Chest %'].str.rstrip('%').astype(float)\n","df_weapon['Leg %'] = df_weapon['Leg %'].str.rstrip('%').astype(float)\n","df_weapon['Total Kills'] = df_weapon['Total Kills'].str.replace(',','').astype(int)"]},{"cell_type":"code","execution_count":13,"id":"4fa0c93c","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.739479Z","iopub.status.busy":"2024-10-11T12:56:24.73914Z","iopub.status.idle":"2024-10-11T12:56:24.752535Z","shell.execute_reply":"2024-10-11T12:56:24.751635Z"},"papermill":{"duration":0.032724,"end_time":"2024-10-11T12:56:24.754647","exception":false,"start_time":"2024-10-11T12:56:24.721923","status":"completed"},"tags":[]},"outputs":[{"data":{"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>Weapon</th>\n","      <th>KPR</th>\n","      <th>HS %</th>\n","      <th>Chest %</th>\n","      <th>Leg %</th>\n","      <th>Total Kills</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>AK-47</td>\n","      <td>1.2</td>\n","      <td>17.8</td>\n","      <td>59.4</td>\n","      <td>16.7</td>\n","      <td>370567</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>M4A1-S</td>\n","      <td>1.1</td>\n","      <td>14.6</td>\n","      <td>60.3</td>\n","      <td>18.3</td>\n","      <td>181934</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>AWP</td>\n","      <td>1.6</td>\n","      <td>14.5</td>\n","      <td>68.7</td>\n","      <td>10.1</td>\n","      <td>164754</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>M4A1</td>\n","      <td>1.2</td>\n","      <td>18.0</td>\n","      <td>60.6</td>\n","      <td>15.5</td>\n","      <td>104012</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>USP-S</td>\n","      <td>0.9</td>\n","      <td>21.2</td>\n","      <td>63.5</td>\n","      <td>10.5</td>\n","      <td>94958</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Weapon  KPR  HS %  Chest %  Leg %  Total Kills\n","0   AK-47  1.2  17.8     59.4   16.7       370567\n","1  M4A1-S  1.1  14.6     60.3   18.3       181934\n","2     AWP  1.6  14.5     68.7   10.1       164754\n","3    M4A1  1.2  18.0     60.6   15.5       104012\n","4   USP-S  0.9  21.2     63.5   10.5        94958"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["df_weapon.head()"]},{"cell_type":"code","execution_count":14,"id":"5f23b7d0","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.789623Z","iopub.status.busy":"2024-10-11T12:56:24.789334Z","iopub.status.idle":"2024-10-11T12:56:24.794847Z","shell.execute_reply":"2024-10-11T12:56:24.793946Z"},"papermill":{"duration":0.025604,"end_time":"2024-10-11T12:56:24.797018","exception":false,"start_time":"2024-10-11T12:56:24.771414","status":"completed"},"tags":[]},"outputs":[],"source":["df_top['CS Rating'] = df_top['CS Rating'].str.replace(',','').astype(int)\n"]},{"cell_type":"markdown","id":"e6ef4f77","metadata":{"papermill":{"duration":0.016469,"end_time":"2024-10-11T12:56:24.831879","exception":false,"start_time":"2024-10-11T12:56:24.81541","status":"completed"},"tags":[]},"source":["### Feature Engineering"]},{"cell_type":"code","execution_count":15,"id":"46774839","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.866362Z","iopub.status.busy":"2024-10-11T12:56:24.866057Z","iopub.status.idle":"2024-10-11T12:56:24.871485Z","shell.execute_reply":"2024-10-11T12:56:24.870667Z"},"papermill":{"duration":0.02496,"end_time":"2024-10-11T12:56:24.873394","exception":false,"start_time":"2024-10-11T12:56:24.848434","status":"completed"},"tags":[]},"outputs":[],"source":["# win ratio = win/win+tie+loss\n","df_top['Win_Ratio'] = df_top['Wins'] / (df_top['Wins'] + df_top['Ties'] + df_top['Losses'])"]},{"cell_type":"code","execution_count":16,"id":"ab1a5530","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.908847Z","iopub.status.busy":"2024-10-11T12:56:24.908587Z","iopub.status.idle":"2024-10-11T12:56:24.913006Z","shell.execute_reply":"2024-10-11T12:56:24.912236Z"},"papermill":{"duration":0.024686,"end_time":"2024-10-11T12:56:24.914833","exception":false,"start_time":"2024-10-11T12:56:24.890147","status":"completed"},"tags":[]},"outputs":[],"source":["# total matches of players\n","df_top['Total Matches'] = df_top['Wins'] + df_top['Ties'] + df_top['Losses']"]},{"cell_type":"code","execution_count":17,"id":"84917ae3","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:24.949173Z","iopub.status.busy":"2024-10-11T12:56:24.948623Z","iopub.status.idle":"2024-10-11T12:56:24.953043Z","shell.execute_reply":"2024-10-11T12:56:24.952317Z"},"papermill":{"duration":0.023206,"end_time":"2024-10-11T12:56:24.954803","exception":false,"start_time":"2024-10-11T12:56:24.931597","status":"completed"},"tags":[]},"outputs":[],"source":["# weapon effectiveness\n","df_weapon['Effectiveness'] = df_weapon['KPR'] * df_weapon['HS %'] / 100"]},{"cell_type":"markdown","id":"8a0b6f9a","metadata":{"papermill":{"duration":0.016105,"end_time":"2024-10-11T12:56:24.987884","exception":false,"start_time":"2024-10-11T12:56:24.971779","status":"completed"},"tags":[]},"source":["## EDA"]},{"cell_type":"markdown","id":"c3c2cafc","metadata":{"papermill":{"duration":0.016327,"end_time":"2024-10-11T12:56:25.020642","exception":false,"start_time":"2024-10-11T12:56:25.004315","status":"completed"},"tags":[]},"source":["### Visualization Distribution"]},{"cell_type":"markdown","id":"6a16b645","metadata":{"papermill":{"duration":0.016219,"end_time":"2024-10-11T12:56:25.053631","exception":false,"start_time":"2024-10-11T12:56:25.037412","status":"completed"},"tags":[]},"source":["#### Play Rate by Map"]},{"cell_type":"code","execution_count":18,"id":"cf06917c","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:25.088963Z","iopub.status.busy":"2024-10-11T12:56:25.088139Z","iopub.status.idle":"2024-10-11T12:56:25.521651Z","shell.execute_reply":"2024-10-11T12:56:25.520746Z"},"papermill":{"duration":0.453627,"end_time":"2024-10-11T12:56:25.523825","exception":false,"start_time":"2024-10-11T12:56:25.070198","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Play Rate bar chart\n","# Sort the data by 'Play Rate' to make it easier to see the most and least popular maps\n","df_map_play = df_map.sort_values(by='Play Rate', ascending=False)\n","\n","# Create the bar plot\n","plt.figure(figsize=(10, 6))\n","bar_plot = sns.barplot(x='Map', y='Play Rate', data=df_map_play, palette='viridis')\n","\n","# # Highlight the most and least popular maps\n","# max_play_rate = df_map['Play Rate'].max()\n","# min_play_rate = df_map['Play Rate'].min()\n","\n","# # Iterate through the bars to change the color for the highest and lowest values\n","# for i, bar in enumerate(bar_plot.patches):\n","#     if bar.get_height() == max_play_rate:\n","#         bar.set_color('blue')  # Most popular map (highlighted in blue)\n","#     elif bar.get_height() == min_play_rate:\n","#         bar.set_color('red')  # Least popular map (highlighted in red)\n","\n","# Add labels and title\n","plt.title('Play Rate of Maps in Counter-Strike 2', fontsize=14)\n","plt.xlabel('Map', fontsize=12)\n","plt.ylabel('Play Rate (%)', fontsize=12)\n","plt.xticks(rotation=45)\n","plt.tight_layout()\n","\n","# Show the plot\n","plt.show()"]},{"cell_type":"markdown","id":"7cebaaf1","metadata":{"papermill":{"duration":0.016937,"end_time":"2024-10-11T12:56:25.558452","exception":false,"start_time":"2024-10-11T12:56:25.541515","status":"completed"},"tags":[]},"source":["- Players play Dust II the most\n","- While Italy is dislike by most of players"]},{"cell_type":"markdown","id":"955519cd","metadata":{"papermill":{"duration":0.016752,"end_time":"2024-10-11T12:56:25.591977","exception":false,"start_time":"2024-10-11T12:56:25.575225","status":"completed"},"tags":[]},"source":["#### Compare Win Rate between T & CT sides"]},{"cell_type":"code","execution_count":19,"id":"c8731b08","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:25.62771Z","iopub.status.busy":"2024-10-11T12:56:25.626953Z","iopub.status.idle":"2024-10-11T12:56:26.085072Z","shell.execute_reply":"2024-10-11T12:56:26.084129Z"},"papermill":{"duration":0.478261,"end_time":"2024-10-11T12:56:26.087273","exception":false,"start_time":"2024-10-11T12:56:25.609012","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Compare Win Rate of T and CT sides on different maps\n","# Sort the data by T-Win % for better visual comparison\n","df_win_percentages = df_map.sort_values(by='T-Win %', ascending=False)\n","\n","# Create a stacked bar chart using matplotlib\n","plt.figure(figsize=(12, 6))\n","\n","# Plot the CT-Win % as the bottom part of the bar\n","plt.bar(df_win_percentages['Map'], df_win_percentages['CT-Win %'], label='CT-Win %', color='skyblue')\n","\n","# Plot the T-Win % on top of the CT-Win % bars\n","plt.bar(df_win_percentages['Map'], df_win_percentages['T-Win %'], bottom=df_win_percentages['CT-Win %'], label='T-Win %', color='lightcoral')\n","\n","# Add labels and title\n","plt.xlabel('Maps', fontsize=14)\n","plt.ylabel('Win Percentage (%)', fontsize=14)\n","plt.title('Win Percentages for T and CT Sides on Different Maps in Counter-Strike 2', fontsize=16)\n","plt.legend(fontsize=12)\n","plt.xticks(rotation=45, ha='right', fontsize=12)  \n","plt.yticks(fontsize=12)\n","plt.grid(axis='y', linestyle='--', alpha=0.7)\n","plt.tight_layout()\n","\n","# Show the plot\n","plt.show()"]},{"cell_type":"markdown","id":"df151ee9","metadata":{"papermill":{"duration":0.01798,"end_time":"2024-10-11T12:56:26.123517","exception":false,"start_time":"2024-10-11T12:56:26.105537","status":"completed"},"tags":[]},"source":["From the stacked bar chart:\n","- most map have a fair opportunities between 2 sides\n","- while Italy and Office tend to a little dominant by CT side"]},{"cell_type":"markdown","id":"935bb245","metadata":{"papermill":{"duration":0.017752,"end_time":"2024-10-11T12:56:26.159077","exception":false,"start_time":"2024-10-11T12:56:26.141325","status":"completed"},"tags":[]},"source":["#### Total kills by Weapons"]},{"cell_type":"code","execution_count":20,"id":"edf2d1e3","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:26.197375Z","iopub.status.busy":"2024-10-11T12:56:26.196775Z","iopub.status.idle":"2024-10-11T12:56:26.578457Z","shell.execute_reply":"2024-10-11T12:56:26.577544Z"},"papermill":{"duration":0.403976,"end_time":"2024-10-11T12:56:26.58098","exception":false,"start_time":"2024-10-11T12:56:26.177004","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Top 10 kills by weapons\n","df_weapon_kill = df_weapon.sort_values(by='Total Kills', ascending=False)\n","\n","# Create a bar chart\n","plt.figure(figsize=(10, 6))\n","sns.barplot(x='Weapon', y='Total Kills', data=df_weapon_kill, palette='viridis')\n","plt.xlabel('Weapon', fontsize=14)\n","plt.ylabel('Total Kills', fontsize=14)\n","plt.title('Total Kills by Weapon in Counter-Strike 2', fontsize=16)\n","plt.xticks(rotation=45, ha='right', fontsize=12)\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"fb168004","metadata":{"papermill":{"duration":0.019329,"end_time":"2024-10-11T12:56:26.62291","exception":false,"start_time":"2024-10-11T12:56:26.603581","status":"completed"},"tags":[]},"source":["From the bar chart:\n","- ak-47 have highest chance to get a kill\n","- While p2000 is the hardest weapon to get a kill"]},{"cell_type":"markdown","id":"c5aa74b9","metadata":{"papermill":{"duration":0.018925,"end_time":"2024-10-11T12:56:26.66056","exception":false,"start_time":"2024-10-11T12:56:26.641635","status":"completed"},"tags":[]},"source":["#### Top 10 HS by weapons"]},{"cell_type":"code","execution_count":21,"id":"748644a1","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:26.699977Z","iopub.status.busy":"2024-10-11T12:56:26.699625Z","iopub.status.idle":"2024-10-11T12:56:27.067521Z","shell.execute_reply":"2024-10-11T12:56:27.066547Z"},"papermill":{"duration":0.390729,"end_time":"2024-10-11T12:56:27.070279","exception":false,"start_time":"2024-10-11T12:56:26.67955","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Top 10 HS by weapons\n","df_weapon_hs = df_weapon.sort_values(by='HS %', ascending=False)\n","\n","# Create a bar chart\n","plt.figure(figsize=(10, 6))\n","sns.barplot(x='Weapon', y='HS %', data=df_weapon_hs, palette='viridis')\n","plt.xlabel('Weapon', fontsize=14)\n","plt.ylabel('HS %', fontsize=14)\n","plt.title('HS% by Weapon in Counter-Strike 2', fontsize=16)\n","plt.xticks(rotation=45, ha='right', fontsize=12)\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"b35f430a","metadata":{"papermill":{"duration":0.019607,"end_time":"2024-10-11T12:56:27.111789","exception":false,"start_time":"2024-10-11T12:56:27.092182","status":"completed"},"tags":[]},"source":["As you can see from the bar chart:\n","- DE and USP are the 1 shot pistol, so they have high HS rate\n","- while MP7 and P90, types of run shoot SMG, are quite hard to aim for the head"]},{"cell_type":"markdown","id":"65e21024","metadata":{"papermill":{"duration":0.019502,"end_time":"2024-10-11T12:56:27.150729","exception":false,"start_time":"2024-10-11T12:56:27.131227","status":"completed"},"tags":[]},"source":["Individual Player Profiling:\n","Focus on the top 100 players in competitive CS:GO, examining their rankings, CS Ratings, and regional distributions.\n","Analyze the performance metrics of notable players like sH0oRuk YouTube, TTpo100Razeb Daniel, and REZPEZT™."]},{"cell_type":"markdown","id":"35bcdeee","metadata":{"papermill":{"duration":0.019417,"end_time":"2024-10-11T12:56:27.189647","exception":false,"start_time":"2024-10-11T12:56:27.17023","status":"completed"},"tags":[]},"source":["#### CS Rating by Region"]},{"cell_type":"code","execution_count":22,"id":"36f57927","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:27.230242Z","iopub.status.busy":"2024-10-11T12:56:27.229893Z","iopub.status.idle":"2024-10-11T12:56:27.559981Z","shell.execute_reply":"2024-10-11T12:56:27.559014Z"},"papermill":{"duration":0.35274,"end_time":"2024-10-11T12:56:27.56197","exception":false,"start_time":"2024-10-11T12:56:27.20923","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.set(style = 'whitegrid')\n","\n","num_regions = df_top['Region'].value_counts()\n","\n","plt.figure(figsize=(12,6))\n","sns.barplot(x = num_regions.index, y =num_regions.values)\n","plt.title('Number of players from different Regions')\n","plt.show()"]},{"cell_type":"markdown","id":"4fb4ad03","metadata":{"papermill":{"duration":0.020041,"end_time":"2024-10-11T12:56:27.602773","exception":false,"start_time":"2024-10-11T12:56:27.582732","status":"completed"},"tags":[]},"source":["- Europe has the large number of top CS players\n","- While Africa having the least number of players, maybe due to low access to modern technology"]},{"cell_type":"code","execution_count":23,"id":"e1b5488a","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:27.64559Z","iopub.status.busy":"2024-10-11T12:56:27.645271Z","iopub.status.idle":"2024-10-11T12:56:27.665546Z","shell.execute_reply":"2024-10-11T12:56:27.664686Z"},"papermill":{"duration":0.044622,"end_time":"2024-10-11T12:56:27.667526","exception":false,"start_time":"2024-10-11T12:56:27.622904","status":"completed"},"tags":[]},"outputs":[{"data":{"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>Region</th>\n","      <th>Avg CS Rating</th>\n","      <th>Total Wins</th>\n","      <th>Total Ties</th>\n","      <th>Total Losses</th>\n","      <th>Avg Win Ratio</th>\n","      <th>Total Matches</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Africa</td>\n","      <td>27342.000000</td>\n","      <td>154</td>\n","      <td>2</td>\n","      <td>49</td>\n","      <td>0.751220</td>\n","      <td>205</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Asia</td>\n","      <td>28231.090909</td>\n","      <td>1605</td>\n","      <td>35</td>\n","      <td>707</td>\n","      <td>0.772692</td>\n","      <td>2347</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Australia</td>\n","      <td>27395.400000</td>\n","      <td>476</td>\n","      <td>15</td>\n","      <td>132</td>\n","      <td>0.798327</td>\n","      <td>623</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Europe</td>\n","      <td>27986.428571</td>\n","      <td>4475</td>\n","      <td>103</td>\n","      <td>1775</td>\n","      <td>0.776351</td>\n","      <td>6353</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>North America</td>\n","      <td>27711.750000</td>\n","      <td>1622</td>\n","      <td>31</td>\n","      <td>527</td>\n","      <td>0.779318</td>\n","      <td>2180</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>South America</td>\n","      <td>28236.454545</td>\n","      <td>1264</td>\n","      <td>31</td>\n","      <td>329</td>\n","      <td>0.852283</td>\n","      <td>1624</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["          Region  Avg CS Rating  Total Wins  Total Ties  Total Losses  \\\n","0         Africa   27342.000000         154           2            49   \n","1           Asia   28231.090909        1605          35           707   \n","2      Australia   27395.400000         476          15           132   \n","3         Europe   27986.428571        4475         103          1775   \n","4  North America   27711.750000        1622          31           527   \n","5  South America   28236.454545        1264          31           329   \n","\n","   Avg Win Ratio  Total Matches  \n","0       0.751220            205  \n","1       0.772692           2347  \n","2       0.798327            623  \n","3       0.776351           6353  \n","4       0.779318           2180  \n","5       0.852283           1624  "]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# Group by 'Region' and calculate desired aggregations\n","region_group = df_top.groupby('Region').agg({\n","    'CS Rating': 'mean',     # Average CS Rating per region\n","    'Wins': 'sum',           # Total Wins per region\n","    'Ties': 'sum',           # Total Ties per region\n","    'Losses': 'sum',         # Total Losses per region\n","    'Win_Ratio': 'mean',     # Average Win Ratio per region\n","    'Total Matches': 'sum'   # Total Matches per region\n","}).reset_index()\n","\n","# Rename columns for better readability\n","region_group.columns = ['Region', 'Avg CS Rating', 'Total Wins', 'Total Ties', 'Total Losses', 'Avg Win Ratio', 'Total Matches']\n","\n","# Display the grouped data\n","region_group"]},{"cell_type":"code","execution_count":24,"id":"1d04d0c0","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:27.710152Z","iopub.status.busy":"2024-10-11T12:56:27.709886Z","iopub.status.idle":"2024-10-11T12:56:28.088423Z","shell.execute_reply":"2024-10-11T12:56:28.087494Z"},"papermill":{"duration":0.402407,"end_time":"2024-10-11T12:56:28.090994","exception":false,"start_time":"2024-10-11T12:56:27.688587","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# 2. Stacked Bar Chart for Wins, Ties, and Losses by Region\n","plt.figure(figsize=(12, 6))\n","\n","# Plot total wins as the base bar\n","plt.bar(region_group['Region'], region_group['Total Wins'], label='Total Wins', color='skyblue')\n","\n","# Plot total ties stacked on top of wins\n","plt.bar(region_group['Region'], region_group['Total Ties'], bottom=region_group['Total Wins'], label='Total Ties', color='lightgreen')\n","\n","# Plot total losses stacked on top of wins and ties\n","bottom_values = region_group['Total Wins'] + region_group['Total Ties']\n","plt.bar(region_group['Region'], region_group['Total Losses'], bottom=bottom_values, label='Total Losses', color='salmon')\n","\n","# Add title and labels\n","plt.title('Wins, Ties, and Losses by Region', fontsize=16)\n","plt.xlabel('Region', fontsize=14)\n","plt.ylabel('Total Matches', fontsize=14)\n","plt.xticks(rotation=45, ha='right', fontsize=12)\n","plt.legend(fontsize=12)\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"code","execution_count":25,"id":"31e616ea","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:28.136126Z","iopub.status.busy":"2024-10-11T12:56:28.135825Z","iopub.status.idle":"2024-10-11T12:56:28.476832Z","shell.execute_reply":"2024-10-11T12:56:28.475944Z"},"papermill":{"duration":0.366137,"end_time":"2024-10-11T12:56:28.479277","exception":false,"start_time":"2024-10-11T12:56:28.11314","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Set the aesthetic style of the plots\n","sns.set(style='whitegrid')\n","\n","# Create a figure for the box plot and violin plot\n","plt.figure(figsize=(12, 6))\n","\n","# Create a box plot of CS Rating by Region\n","sns.boxplot(x='Region', y='CS Rating', data=df_top, palette='viridis')\n","\n","# Add title and labels for better readability\n","plt.title('CS Rating Distribution by Region', fontsize=16)\n","plt.xlabel('Region', fontsize=14)\n","plt.ylabel('CS Rating', fontsize=14)\n","plt.xticks(rotation=45, ha='right', fontsize=12)\n","plt.tight_layout()\n","\n","# Show the plot\n","plt.show()"]},{"cell_type":"markdown","id":"9a1aa058","metadata":{"papermill":{"duration":0.022255,"end_time":"2024-10-11T12:56:28.524042","exception":false,"start_time":"2024-10-11T12:56:28.501787","status":"completed"},"tags":[]},"source":["Asia:\n","* has a broader range compared to other region\n","* has an outlier above 31000, indicating 1 person with significant score\n","* median close to bottom line, meaning most players closer to lower 50% rating\n","* imbalance whisker with extreme outlier of highest rating\n","\n","Europe:\n","* has long imbalance whisker, indicate more extreme outliers on top\n","\n","South America:\n","* high median, which closer to top line\n","* whisker more balance, indicate uniform distribution of rating\n","\n","North America:\n","* Rating range quite similar to Europe & South America\n","\n","Australia:\n","* much narrower rating range, indicate less variability\n","* 2 outliers differentiate from the rest\n","\n","Africa:\n","* range almost a flat line, suggest limited data"]},{"cell_type":"markdown","id":"4fd4566c","metadata":{"papermill":{"duration":0.021764,"end_time":"2024-10-11T12:56:28.568135","exception":false,"start_time":"2024-10-11T12:56:28.546371","status":"completed"},"tags":[]},"source":["### Correlations"]},{"cell_type":"markdown","id":"d1218b58","metadata":{"papermill":{"duration":0.022335,"end_time":"2024-10-11T12:56:28.612373","exception":false,"start_time":"2024-10-11T12:56:28.590038","status":"completed"},"tags":[]},"source":["#### Check the relationship between CS Rating and Wins to understand if the rating truly reflects winning tendencies"]},{"cell_type":"code","execution_count":26,"id":"785eaa64","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:28.658213Z","iopub.status.busy":"2024-10-11T12:56:28.657588Z","iopub.status.idle":"2024-10-11T12:56:28.66513Z","shell.execute_reply":"2024-10-11T12:56:28.664225Z"},"papermill":{"duration":0.033476,"end_time":"2024-10-11T12:56:28.667715","exception":false,"start_time":"2024-10-11T12:56:28.634239","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Pearson correlation between CS Rating and Wins: 0.08\n"]}],"source":["# Correlation Calculation\n","from scipy.stats import pearsonr\n","corr, _ = pearsonr(df_top['CS Rating'], df_top['Wins'])\n","print(f\"Pearson correlation between CS Rating and Wins: {corr:.2f}\")"]},{"cell_type":"markdown","id":"6ad0cdfe","metadata":{"papermill":{"duration":0.021753,"end_time":"2024-10-11T12:56:28.712472","exception":false,"start_time":"2024-10-11T12:56:28.690719","status":"completed"},"tags":[]},"source":["-> no relationship between CS Rating & Wins"]},{"cell_type":"code","execution_count":27,"id":"16ce3bd9","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:28.757693Z","iopub.status.busy":"2024-10-11T12:56:28.757381Z","iopub.status.idle":"2024-10-11T12:56:30.088682Z","shell.execute_reply":"2024-10-11T12:56:30.087623Z"},"papermill":{"duration":1.357319,"end_time":"2024-10-11T12:56:30.091736","exception":false,"start_time":"2024-10-11T12:56:28.734417","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["from sklearn.linear_model import LinearRegression\n","# Linear Regression\n","# Reshape the data for scikit-learn\n","X = df_top[['CS Rating']]\n","y = df_top['Wins']\n","\n","# Fit the linear regression model\n","model = LinearRegression()\n","model.fit(X, y)\n","\n","# Get the coefficient and intercept\n","slope = model.coef_[0]\n","intercept = model.intercept_\n","\n","# Create a line of best fit\n","x_range = np.linspace(df_top['CS Rating'].min(), df_top['CS Rating'].max(), 100)\n","y_range = slope * x_range + intercept\n","\n","# Plot the regression line on the scatter plot\n","plt.figure(figsize=(10, 6))\n","sns.scatterplot(x='CS Rating', y='Wins', data=df_top, hue='Region', palette='viridis', s=100)\n","plt.plot(x_range, y_range, color='red', linestyle='--', label=f'Linear Fit (R²={model.score(X, y):.2f})')\n","plt.title('Linear Regression of Wins based on CS Rating', fontsize=16)\n","plt.xlabel('CS Rating', fontsize=14)\n","plt.ylabel('Wins', fontsize=14)\n","plt.legend(fontsize=12)\n","plt.grid(True)\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"8060621a","metadata":{"papermill":{"duration":0.025678,"end_time":"2024-10-11T12:56:30.142102","exception":false,"start_time":"2024-10-11T12:56:30.116424","status":"completed"},"tags":[]},"source":["#### Explore correlations between Play Rate of maps and Win % for teams to see if certain maps favor a specific team side."]},{"cell_type":"code","execution_count":28,"id":"b96ff282","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:30.191412Z","iopub.status.busy":"2024-10-11T12:56:30.190686Z","iopub.status.idle":"2024-10-11T12:56:30.200513Z","shell.execute_reply":"2024-10-11T12:56:30.199445Z"},"papermill":{"duration":0.037512,"end_time":"2024-10-11T12:56:30.203422","exception":false,"start_time":"2024-10-11T12:56:30.16591","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Correlation between Play Rate and T-Win %: -0.30\n","Correlation between Play Rate and CT-Win %: 0.30\n"]}],"source":["# 1. Calculate correlations\n","corr_t = pearsonr(df_map['Play Rate'], df_map['T-Win %'])[0]\n","corr_ct = pearsonr(df_map['Play Rate'], df_map['CT-Win %'])[0]\n","\n","print(f\"Correlation between Play Rate and T-Win %: {corr_t:.2f}\")\n","print(f\"Correlation between Play Rate and CT-Win %: {corr_ct:.2f}\")"]},{"cell_type":"code","execution_count":29,"id":"476d6bc3","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:30.252789Z","iopub.status.busy":"2024-10-11T12:56:30.252448Z","iopub.status.idle":"2024-10-11T12:56:31.183344Z","shell.execute_reply":"2024-10-11T12:56:31.182423Z"},"papermill":{"duration":0.958122,"end_time":"2024-10-11T12:56:31.185884","exception":false,"start_time":"2024-10-11T12:56:30.227762","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABJ8AAAJHCAYAAAA+MPcJAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAADOPklEQVR4nOzdeVxU5f4H8M+ZlR1EBQUsEAN3RVG07Jpa5pqZ6TVTu5W2mi238la22L7cytKsXDNbfmnpzZKsa6bdLMUtNzAVN2QX2QZmn/P74zjjDDPgADPMAJ/36zUv4JxZHo7IHD7n+3wfQRRFEURERERERERERF4g8/UAiIiIiIiIiIio5WL4REREREREREREXsPwiYiIiIiIiIiIvIbhExEREREREREReQ3DJyIiIiIiIiIi8hqGT0RERERERERE5DUMn4iIiIiIiIiIyGsYPhERERERERERkdcwfCIiIiIiIiIiIq9h+ERUw7/+9S8kJyfj3Llzvh5Ki7Rr1y4kJydj0aJFvh5Ki6TVanHttdfi2Wef9fVQqB4ef/xxDBs2DHq93tdDISLyquTkZMyYMcPXw2ixeB7rXVu2bEFycjL27dvn66GQnZMnT6J79+74/PPPfT0UqoPC1wOg1i05Oble9//rr7+ctj333HP46quv8M4772Ds2LEO+ywWCwYNGoTy8nL885//xD333OP0+AkTJuDo0aP473//iyuuuKJ+30ADFBQU4KWXXsLu3bsRGBiI0aNH49FHH4VarXa4nyiKmDZtGoKCgrBixQqvj6sxhg8fjtzcXNvXMpkMYWFh6NGjB6ZNm4brr7/eh6Or3blz5zBixAiHbQqFApGRkejXrx9mzZqFXr16Neo1du3ahZkzZ2LOnDl46KGHGvVc7lixYgVKS0tx//33u9xfXl6Ozz//HNu3b8fp06eh0WgQGhqKrl27YsSIEbjlllsQHBzs9XE2FY1Gg0WLFuGnn35CcXExoqKicOONN2LOnDluf5/nz5/HkiVLcOjQIeTm5qKiogKRkZFISEjA7bffjhtuuAGCIDg9rqioCAsXLsSvv/6K8vJyxMTE4Oabb8asWbOgVCod7vvggw9i7NixWL16tcvfU0RE9g4fPowvvvgCe/bsQVFRESwWC6KiopCSkoKbb74Z11xzDdavX4+nnnrK7eecOHEiXn/9dYdtJpMJAwYMAADs3r0bCoXjnw5btmzBgw8+CAD47bff0L59e4f9WVlZuPnmm9G/f3988cUXDflW6+3nn3/G+++/j7Nnz+KKK67A3Llznd7rAeD48eOYOHEiXnvtNYwfP75JxtYQ1vMIeyqVClFRURg8eDDuu+8+xMXF+Wh0dVu0aBEWL17ssC0gIACdOnXCiBEjMHv2bISEhDTqNf71r39hw4YN+Pnnn71+HIxGI9566y0MGTIE/fr1c3kfd/5vNjf/+9//8PHHH+PIkSMQBAE9evTAAw88gMGDB7v9HBs3bsSPP/6Iv/76CyUlJQCAmJgYXHPNNbj77rsRHR1d6+M+/fRTnDhxAkqlEv369cPcuXPRo0cPh/t17twZY8eOxQcffIAJEyY0+ueKvIPhE/nUnDlznLatXr0alZWVLve5MmjQIHz11VfYtWuXU/h09OhRlJeXQxAE7Nq1y+mPurKyMvz111+IiYmxBU+PPfYYZs+eXesvwcYwm8249957cfbsWdxyyy0oKSnBqlWrYDKZMH/+fIf7fvHFF8jKysJ3333n8XF4g1wutwUeRqMRJ0+exNatW7Fjxw7MmzcPd911l49HWLsrrrgCN910EwCguroaR44cwebNm/Hzzz9j1apVthNvf6fRaLBixQqMGTMGMTExTvv/+OMPPPLIIygrK0NiYiJuvPFGtGnTBqWlpdizZw9efvllrF69Glu2bPHB6D2vuroa06dPR1ZWFoYMGYKxY8ciKysLK1euxO7du/H55587hb6u5Ofn4z//+Q/69u2L66+/HhERESgpKcEvv/yChx56CJMnT8bLL7/s8Jji4mJMmTIFBQUFuOGGG3DllVdi9+7dWLhwIQ4ePIglS5Y4BFYJCQkYMWIEli5diunTpyMoKMjjx4OImj+LxYI33ngDn3zyCRQKBQYNGoThw4dDoVAgJycH27dvx8aNGzF37lwMHz7c6VwqNzcXGzZsQNeuXZ0uDHXr1s3p9RQKBfr374///e9/OHz4MPr27euwf+fOnRAEAaIoIiMjw+k8bNeuXQCkczWr9PR0BAYGNuYw1OrgwYN48MEHkZSUhKlTp+K3337DnDlzsHbtWoeLSRaLBfPnz8fVV1/t18GTvR49emDYsGEAgIqKCmRkZGDdunX46aefsHbtWsTHx/t2gHW48cYbcdVVVwGQLuj8+uuv+Oijj/DLL7/g66+/hkql8vEI3fPtt9/i9OnTeOGFF5z21ef/pjWwbQ6+/fZbPPnkk4iMjMQtt9wCQPo/fOedd2LhwoUYNWqUW8+Tnp6O06dPo0+fPoiKioIoisjKysKnn36KDRs24IsvvrD9jFh9+OGHWLhwIWJjYzF16lRUVVVh06ZNmDp1Kj755BP079/f4f6zZs3Cxo0bsWbNmlovwpKPiUR+ZtiwYWJSUpLb9y8uLhaTkpLEkSNHOu1buXKlmJSUJM6ZM0fs27evaDAYHPb/9NNPYlJSkjhv3rxGj9sd+/btE5OSksRvv/3Wtu2pp54Se/fuLVosFtu2goICsV+/fuLKlSubZFyNNWzYMLFnz55O2//3v/+JycnJYp8+fcTq6mpRFEVx586dYlJSkvj+++839TCd5OTkiElJSeJdd93ltO/jjz8Wk5KSxNtvv71Rr9GU3+9nn30mJiUliTt27HDal5WVJfbu3Vvs3bu3w8+fvZ07d4pTpkzx9jCbzHvvvScmJSWJb731lsP2t956S0xKShI/+ugjt57HYDCIJpPJaXtlZaU4evRoMSkpSTx27JjDvieffFJMSkoSv/jiC9s2i8UiPvroo2JSUpL43XffOT2f9ffR2rVr3RoXEbU+b7/9tpiUlCROmDBBPHPmjNN+rVYrLlu2zOn3npX1Pak+5z1Lly6t9XfmuHHjxOnTp4sDBw4Un332Waf99913n5iUlCTu3LnT7ddrjGeffVYcMGCAqNFoRFGUfk+npqY6jW316tVi3759xdzc3CYZV2NY/81qfg8Wi0V84oknnP49582bJyYlJYk5OTlNPVQn77//vpiUlCR+//33Dtt1Op140003iUlJSeLXX3/dqNdoyu/3lltuEYcOHepwzm7V2P+b/qisrExMTU0V09LSxPz8fNv2/Px8MS0tTUxLSxMrKyvdei6dTudy+9q1a8WkpCTxoYcecth+6tQpsXv37uLIkSPFiooK2/bMzEyxZ8+e4ujRo0Wz2ez0fOPHjxeHDRvmch/5Hns+UbPXrl07dOnSBadPn0ZRUZHDvl27diEuLg4TJkxAdXU1Dh065LQfANLS0mzbXM2Vt+9TdOjQIdx5551ISUlB//798eCDD7o9rz4/Px8AHEpFe/bsCZ1OhwsXLti2vfDCC4iPj3cqs3bHDTfcgJSUFGi1Wpf777vvPiQnJ+PUqVMApCs169atw6233oqBAweid+/e+Nvf/ob77rvPdnwaasiQIUhISIBWq8Xx48frvO/OnTvx1FNP4cYbb0RKSgpSUlJwyy234KuvvnK4X2VlJfr27et0ddXKYrFg+PDhGDBgAHQ6XYPHfuuttwIAjhw54rTv66+/xv3334/hw4ejV69eGDhwIO6++27s3LnT4X6LFi2y/RsuXrwYycnJtpv9z4zBYMCqVaswceJE9O3bFykpKZg2bRp+/vnneo35m2++QUREhMMVZquXX34ZOp0O8+fPt1V51ZSWloY1a9a4fN7Jkyfb/l0mT56M9evXO93P/v/Jvn37cNdddyE1NdU2vXbRokVITk7Grl27sH79ekycOBF9+vTxSu8PURSxbt06BAUF4YEHHnDY98ADDyAoKAjr1q1z67mUSiXkcrnT9pCQEFx77bUAgDNnzti2azQapKeno1OnTpg6daptuyAI+Oc//wkAWLt2rdPzDR06FIGBgdiwYYNb4yKi1uXMmTNYvnw5IiIisHz5cpetAgICAjBr1izMnTvXY69rPUfKyMhw2F5aWorjx48jLS0NqampTucMFosFe/fuhVqtRkpKim27q55P1nOvnJwcfPrppxg1ahR69uyJYcOGYfHixbBYLG6NNT8/H/Hx8bZp1SEhIYiPj7edfwFAXl4e3n33XTz66KMuq4TrsmfPHiQnJ9c6nbGkpAQ9evRw+N1fVFSEl19+GSNHjkTv3r2RmpqK0aNH47nnnkNlZWW9Xt+eIAi4/fbbAcDp/LYmg8GANWvW4O6778bQoUPRs2dPDB48GHPmzEFmZqbDfdetW4fk5GQsW7bM5XP98ccfSE5OxnPPPdfgsavValvFWc3zrMLCQrz//vuYMmUKBg8ejJ49e2L48OF44YUXbNO1rIYPH257zxwxYoTtHKvmz1dOTg6eeeYZXHfddejZsyeGDBmCf/3rXw4tIy7n2LFjOHz4MEaOHOk01b4x/zcvXLiAV155BcOHD7f9uzz88MM4duyY03PY/z9ZuXIlxowZg549e+Jf//qX7XgMHz4cFRUVePHFFzF06FB0797d5TmbOzZv3oyKigpMnz4dHTp0sG3v0KEDpk+fjtLSUrer5WurNB89ejQA4OzZsw7b169fD5PJhPvvvx+hoaG27d26dcO4ceOQnZ2NvXv3uny+3NzcRv8NQ97B8IlaBOuJkf0vGovFgj179mDgwIFITU21Tb2z5yp8qsuhQ4cwffp0KJVKTJ06FT179sSWLVtw5513utUouGPHjgCkHghWmZmZCAgIQGRkJACpLPXXX3/FK6+84vIP3su56aabUF1d7fLN4MKFC/jtt9/Qp08fJCQkAADefvttzJ8/H+Xl5Rg3bhzuuOMODBo0CMePH8fvv/9e79evjaueOPaWLVuGPXv2oFevXrj99tsxfvx4lJWV4bnnnnPoQREaGooxY8bgxIkTLps97tixA7m5uRg/fjwCAgIaPW5X/wYvvvgiSkpKMHjwYPzjH//Addddh/379+POO+90OO4DBw7ExIkTbZ/PmTPHdgsLCwMgnRDefffdeP311yGKIm699VbcdNNNyMvLwwMPPIDPPvvMrXGWl5cjKysLvXr1gkzm+Kv9zJkz2L17Nzp27IhJkybV+Tw1S99ffvllPP300ygsLMSkSZMwadIkFBYW4qmnnnKaama1f/9+zJw5E4IgYMqUKRgzZozD/hUrVmDBggVISEjAjBkzbH0TrOGVJ8Ioaxjdr18/pylsQUFB6NevH3Jychz+IKkvvV5vm3JiXyr+559/wmAw4Oqrr3b6uY+NjUVCQgL27dsHs9nssE+lUqFHjx44cOAAqqurGzwuImqZ1q9fD7PZjKlTp6Jdu3Z13teT05h69OiBkJAQ7Nu3D0aj0bY9IyMDoigiLS0NAwYMwOnTp1FYWGjbn5WVhfLycvTt29ft8bz11ltYsmQJUlJSbAHOokWL8N5777n1+I4dO+LMmTO236FVVVU4c+aM7fwLkC7wXXXVVZg+fbpbz2mvf//+iI2NxU8//eTyvO/777+HyWTChAkTAEiLgNx222347LPP0KlTJ0yfPh0TJ05EfHw8Nm7c6HDhsTEud45VXl6OV199FQaDAUOHDsU//vEPDBw4ENu3b8fUqVNx8OBB233Hjh2LkJAQfP311y6fy3rhZvLkyR4Ze83zrD179mDVqlVo27Ytxo4dixkzZqBTp0748ssv8fe//90hsJs5cya6du1q+9x6jmU99wKAAwcOYOLEifjPf/6DHj16YObMmejfvz++++47TJ48GTk5OW6N848//gAAp6mnQMP/b164cAF///vf8emnnyI2NhZ33nknBg0ahP/+97+YMmUK9uzZ4/I5XnrpJXz88cfo2bMn7rjjDiQlJdn2GQwG3HHHHdixYweGDx+OadOmoW3btgAuhVfuhlHWwHnIkCFO+6zbaobS9bVt2zYAcJpyZ31eVz2y6npt67+P9d+L/At7PlGLkJaWhs8//xwZGRm2KymZmZmorKxEWloaIiIikJSUhF27dtnmAFuv2HXq1MntK1/bt2/Hu+++6/DH9JNPPolvv/0WW7ZsqbUax6p37962q0X79+9HaWkp0tPTMX36dAiCgPLycrzyyiu46667bG+m9XXTTTdh8eLF2Lhxo1Mfg/T0dBiNRttJESBV8URFRWHjxo1OPRjKysoaNAarP/74A6dOnUJQUJDTm0pNL7zwAjp16uSwzWQy4Z577sGnn36KmTNn2v6dpk6dim+++Qbr1q1zavhoPSmaMmVKo8ZufZ6a88kBYNOmTU5jLSoqwqRJk/DWW2/Z+mhYQ80NGzZg4MCBLhuOf/DBB8jIyMADDzyAuXPn2k4gNRoN7rjjDrz++uu44YYbLtuD7M8//4TFYnFqwAjAFtINGDDAKZiqy+7du7FmzRokJibiq6++sl15euihhzBlyhSsWbMGo0aNQmpqqsPjduzYgVdffbXWoGv37t1Yu3ZtvRccqA9rJVJtPTDi4+Px22+/4fTp0w5/lNSlpKQEX3zxBSwWC0pKSvDrr78iPz8fc+bMwZVXXlmv1z516hTy8vKcfo569uyJPXv24ODBgy4r2Iio9bL+Lm/q3w1yuRwDBgzAL7/8gkOHDtnedzMyMhAQEIA+ffrYKo127txpO8ew/mHo7gU+QKqC2bhxI6KiogBIlao33ngj1qxZgwcffPCyIdakSZOwdu1a3Hbbbbj66quxY8cOVFZW2oKS7777Dr///jvWr19fr/dDK0EQcNNNN+HDDz/Ezz//7HRx5dtvv4VSqbRVc/zxxx84d+4c7rjjDjz99NMO962qqnJafKI+RFHEl19+CQCXXRwlPDwc27ZtczqXOH78OKZMmYJ3330Xq1atAiBdoBk/fjy+/PJLZGRkYODAgbb7l5WV4b///S+6devWqAVZ9Hq9radpzfOsQYMG4bfffnNaFOQ///kP5s2bh88++8x2Lv+Pf/wDR48exdGjR3HHHXc4NRw3Go149NFHbVX+3bt3t+3bs2cPZs6ciVdeeQUfffTRZcds/f9X13lWff9vvvXWWzh79izuvfdePPbYY7bt27dvxz333IOnn34amzdvdvpZ/euvv7BhwwaXf78UFxcjOTkZX375ZaMvwp4+fRoAHM5xrKzb7Cu/3ZGeno7s7GxotVqcOHECv/32G+Li4pwqwk6fPo2goCCnRQwu99rWn0uuRuifWPlELcKAAQOcKpusn1vfNAcOHIj9+/fDYDAAkP4Atl6xq8/r1DzRsP6BfbmSZ0A6gfvoo48waNAgbNy4EXv27ME//vEPPPHEEwCA119/HcHBwZgzZw5OnTqFmTNnokePHrj66quxdOlSt8Z45ZVXIiUlBb///rtTeXLNkyKr2qYVRUREuPWagNRMfdGiRVi0aBHeffddzJ07F7NmzYIoinj44Ycv+wZY849wQGp0OnXqVJjNZod/2969e6N79+7YvHkzNBqNbfuFCxewdetW9OrVq17h3dmzZ21jf+ONNzBz5ky88847aNeuHZ588km3xmpdRe306dNul3FbLBZ8+eWXttV47K9choSE4MEHH4TRaMR///vfyz5XQUEBALi84lZcXAwADiXT7rCWss+ZM8eh5Dk8PNzWxNbV1bMePXrUWWE1ZcoUl8FT7969kZ6ejjfeeKNe43TFemW0ttVOrNvtf34up6SkBIsXL8aSJUvw1Vdf4fz583jyySedGvpaX9v+mNmznlC7mm5hvTpp/fckIrI6f/48AHhlQZTLcVVhvmvXLvTp0wcqlQpdu3ZFaGioy/Ow+pxnPfDAA7bgCQAiIyMxYsQIVFVV2doF1KVPnz5YtGgRLBYL/u///g+CIGDx4sXo1asXSktL8eqrr2LWrFlISkrC+vXrMXz4cHTv3h233HKLQ/VPXazh2saNGx22Z2dn48iRIxg6dKjT+ZOrc6Dg4OB6VagdPnzYdq7y6quvYuLEidiwYQMiIiIu21xZpVK5/Lm56qqrkJaWht27dztUtVmrzmpOT//2229hMBjqXfX0448/2sb+wgsvYNSoUTh69ChuuOEGjBw50uG+bdu2dbkarXUFs/pU5W/btg25ubm4++67HYInAEhNTcWIESOwfft2t84FrFV91vdpew35v2kwGLBp0yaX/35Dhw7FNddcgzNnzrgMUe6+++46L5w/8cQTLn/mHnvsMaSnp+OGG25wa4zW4+LqfMZ6HlXfqaObN2/G4sWLsWLFCmzfvh3dunXDqlWrnM6trasxu1LXa4eEhECtVvM8yk+x8omajfXr1zv9UX/99dejW7duiIyMxFVXXYVjx46hoKAAHTp0sPV7sv5yHjBgANasWYMDBw5gwIABDboi5+pqh/UP+oqKCreeIyYmBkuWLHHa/scff2DDhg345JNPoFQq8eCDD0KpVOKjjz7C4cOH8c477yAuLs4p/HLlpptuwv79+/H999/jjjvuACBdQTh48CCGDRtmm+IHAGPGjMEXX3yBcePGYcyYMUhLS0NKSkq9r5aYzWbbcroymQxhYWEYNGgQpk2b5nKJ45o0Gg1WrlyJLVu2ICcnx2naUc1+Xn//+9/x/PPP47vvvsNtt90GQLoqZjQa6131dPbsWaelgNu3b4/PP//c5dWenJwcfPzxx9i5cycKCwttgab9WGNjYy/7uqdOnUJ5eTmioqKcXh+ArRz/5MmTl30ua5VabW/UDWGdHurq/4h129GjR5329ezZs87n7d27t8vtgYGBSExMdHt8df1O8IakpCT89ddfMJvNyM/Px6ZNm/Duu+9i//79WLhwodMS5A1h/YOlsVWHRET1UVFRgdWrVzttt1bsWi/kWSvIL1y4gOPHj9v2y2Qyh75P1n5PgYGB6NOnj9vjcHWeZf2D3t0/cm+44QaXf1y/9tprCA8PxwMPPIB9+/bhqaeewowZMzB8+HAsXboU9957L7Zs2eIy+LCXkJCA3r1747fffsOFCxds51TWMMq+unzAgAFo3749li5diqNHj+K6667DwIEDkZiYeNmpcjUdOXLE1h9JqVQiOjoaU6ZMwX333efWOUdWVhaWL1+OvXv34vz58w5hEyDNCLAGf127dkXfvn3x448/4tlnn7W1Cvj6668RGBhYa+/I2vz444/48ccfHbaNGjUKCxcudHkcfvrpJ3z11Vc4cuQIKioqHKap1zwfrMuff/4JQDrfWrRokdP+4uJiWCwWnDp16rKVXKWlpZDL5bVe1KqvkydPQq/XIy0tzeXqj2lpadixYweysrKcKsxrO48CpN5KtVWWR0VFOYS7vvD+++8DkH7nZGZmYuHChbjllluwaNEiDB482COvER4ejtLSUo88F3kWwydqNjZs2OA0tzc2Ntb2h2ZaWhqOHTuGXbt2Ydy4cdi7d6/D1RT76qgBAwa4XP73cly94VgrhtxthumKTqfDc889h0mTJmHQoEH49ddfkZ2djS+//BL9+vXDtddei4yMDKxevdqt8GnMmDF49dVXsXHjRlv49O233wJwPCkCgGeeeQZxcXFYv349PvzwQ3z44YdQq9UYPXo05s2b5xBU1UWlUrlV/eWKwWDAzJkzceTIEXTv3h033XQTIiIioFAobMtC1wx4xo0bhzfeeAPr1q2zhU9ff/01goKCLjv9saYhQ4ZgxYoVAKTAZ8OGDfj3v/+N+++/H+vWrXM4ET1z5gwmT54MjUaDtLQ0DBs2DCEhIZDJZMjIyEBGRobTWGtjDRiOHz9eZ0P22prH27M2cnT12taSZfteHO7QaDSQyWQufwbatWsHQRBcXi28XL8DV1cNG6Ku3wnWEK62q5nW7Q05iZTL5YiLi8O9994LuVyOt956C2vXrsW0adMAXAoAa/tDqaqqyuF+9qxN8j3Rr4yIWpZ27drh5MmTKCwsROfOnT363BUVFS4vgljDpW7duiEsLMxWQV6zuhyAbWpebm4uSktLUVFRgSFDhtRrapmr38nWYL9mn7z6+O2337Bx40Z89tlnUKlUWLNmDeLj4zF//nwAQOfOnXHdddfhu+++c2gWXpsJEybg4MGD+OGHH3D77bdDFEV89913CA8Px3XXXWe7X2hoKNauXYv3338fv/zyC7Zv3w5A6k01e/ZsW8Nwd/z973/Hiy++WL9v/KJ9+/bZzgevueYaxMfHIygoCIIgYMuWLTh69KjT+cPf//53PPXUU9i4cSOmT5+OAwcO4NixY5g4cWK9L3S98847GDt2LEwmE06dOoU33ngDmzdvxnvvvYdHHnnE4b4rV67EG2+8gcjISFxzzTXo0KGD7T1x9erVTqFZXcrLywHANsWvNu6cZwUEBMBsNsNoNDr9TDfk/6b1PKS2cybruZur85i6zqPatm1b72CzNvYVRm3atHHYV1dVlDusF6mXL1+OUaNGYd68efj5559txzYkJKTW86jLvbZer3cZ6JHvMXyiZsPVKlz2Bg0ahDVr1mDXrl1ISEiARqNxOCmKjIxEly5dsGvXLkybNg3Hjx9HQkKCz68AANJVAK1Wi3nz5gGArbTcvoKjW7dubq/OFRERgaFDh2LLli04efIkOnfujI0bNyI0NBTDhw93uK9CocDdd9+Nu+++G4WFhdi9ezfWr1+P//znPzh//rwtlPGmn3/+GUeOHMGtt96KV155xWHfpk2bXK7+FRISgvHjx+Orr75CVlYWqqurkZ2djcmTJ1/2qmVdIiMjcffdd6OyshIffvghFi5ciGeeeca2/5NPPkF5eTnefPNNpyDvueeeq1fjReub+o033mi7EtSYcQOuK2bs+3NYLBa3+1yEhITAYrHgwoULTic6JSUlEEXR5R8Klzvp8dRJUV2/E6wVa9Z+BTVZt9fWl8ldQ4YMwVtvvYWMjAxb+OTOayuVSpe9pqwnyu6GvkTUevTr1w8ZGRnYuXOnxyoErOLi4vDXX3/Vul8mk2HAgAH4+eefcfDgQezatQtqtdqh+bJ9dZT1vag+1eXeotVq8fzzz2PKlCm2CpJTp045TM/v0KED2rRp41alMSBd5Hv99dexceNG3H777di9ezdyc3Px97//3WkqXUxMDF5//XVYLBb89ddf+O2337BmzRq8+OKLCA8Px7hx4zz3zdbio48+gsFgwOeff+5URWOtDqppzJgxeO2117Bu3TpMnz7dI43GFQoFrrrqKnzwwQcYP348PvroI9xwww22ijeTyYQlS5agffv2+Pbbbx3OPURRxPLly+v1etZzlI8++gjDhg1r8LiBS+/L5eXlToFRQ/5vWsdmnbJXk3V7fc+zPHWOBUjnSIcPH8aZM2ecwidrvyVXMwTqIyQkBH369MGWLVtw9uxZWwV8fHw89u/fj+LiYqe+T3W9tsViQWVlJbp06dKocZF3sOcTtRjWZsoZGRkur8hZ7/Pnn3/it99+q3e/J2/JzMzE6tWrMX/+fFtZs5X9VSiDwVCvNxT7ngR79+7FuXPncOONN9a61CkglbaPGzcOy5cvx5VXXonff//dVonhTdaVRlxNz6ttpQ/gUk+CtWvX2lZlaWyjcav77rsPUVFR+PLLL3Hu3DnbdutSsDXHKooi9u/f7/Q81so4V1dsExMTERISgsOHD9frSp4r1pVOXPXEuPLKKzFgwADk5+e7DPLs2f/MWcNPV8vVWkO2hjbG97b4+HhERUVh3759TlM4q6ursW/fPsTFxbndbLw21moy+yl3ffv2hVKpxO+//w5RFB3un5ubi1OnTqFfv34up+lZ//3sV64hIgKAW265BXK5HF999dVlV0lztwK3Puz7PmVkZNj6PVl1794dwcHBtv32j/GlhQsXwmAw2PprWtU8RvU5z4qMjMSQIUPw559/4syZM7Ypd3VNR5PJZOjWrRtmz56Nd955BwCwdevW+nwrDXb27FlEREQ4BU9arRaZmZkuHxMQEIAJEybg6NGj2LlzJ9LT05GYmOhyIZb6UqvVePLJJyGKIt5++23b9tLSUlRWViIlJcXpotehQ4dcnpNaL6i5moFgnZ5WW8BWH3WdZzXk/2bnzp2hVqtx6NAhl5VX1nMvb7UScMeAAQMASJWDNVm31fxbqyGsUyntz4usr71jx456vfbp06dhsVh4HuWnGD5RixEeHo6uXbsiJycHGzduRGxsrNMc+AEDBsBgMGDZsmUAfH9SZDab8cwzz+Bvf/sbRo0aZdtuTf2t5dkmkwk7duyoV5n9ddddh/DwcHz33Xe1TrkzGAwuGxlWV1ejuroaCoWiQavB1Je1L9fevXsdtmdkZNRZ7dW9e3f06tUL3333HTZv3ozk5OQ658HXR0BAAGbPng2j0ejQo8v6M1VzrEuXLsWxY8ecnic8PByA6wbSCoUCt912G3Jzc/HGG2+4DKCOHTvm1DjeleTkZERERNTaMPWZZ55BQEAAXnrpJaSnp7u8j3XlFyvrUsUffPCBQ9l3ZWWlbXqG/XLGjaXVapGdnY28vLxGP5cgCJg8eTKqq6udeqwtWbIE1dXVTkFlba9/9OhRl/82ZWVlePfddwFIzUGtQkJCMHbsWOTk5OD//u//bNtFUbT9wVFbSHrgwAG0b9++0RVZRNTyXHnllZg1axZKS0sxa9Ysl0vE6/V6rFq1ymV/m8aynjP98MMPyM7OdjqHksvl6N+/P3bu3Ik9e/YgODjYZQ+npnTw4EGsWbMGzz33nMMUncTEROzdu9f23mb9vD59B63nVOvWrcPmzZsRFxfnFMwcP37cZWWLdVtdFwQ9KTY2FuXl5Q5T/M1mM9544406wxLrRb4nnngCVVVVHrvAB0g9Gnv06IEdO3bYLjS2bdsWAQEBOHLkiEMgU15ejpdfftnl81jPs/Lz812+RkxMDFatWoXdu3c77TcajXVe5LRnDUMOHDjgtK8h/zdVKhXGjh2L0tJSfPzxxw73/fXXX/Hbb7/hyiuvdFrVuTGKioqQnZ3tdv+00aNHIzQ0FJ999pnDeWxBQQE+++wztGnTxrbCs1VeXp5tNTsrjUZTa1Xh119/jYMHDyI+Pt6hkumWW26BQqHAhx9+6DDerKwsfP/997UGodbzYE+EYuR5nHZHLUpaWhoyMzNx7Ngx3HLLLU77rW8c1pDA1+HTypUrcfbsWaclXq+++mp06dIFzz//PA4cOICjR4/i5MmT9ZqapVKpMGrUKHz11VdYv349YmNjbd+/lU6nw2233Yb4+Hj07NkTHTt2RHV1NbZt24bi4mLcdddd9VqJpaGGDRuG2NhYLF++HMePH8dVV12FU6dOYdu2bbj++uudmlTamzp1qm1anCdPigCp38GyZcvw7bff4r777sMVV1yBqVOnYv369Zg7dy5Gjx6NiIgI/Pnnn8jMzMR1112Hbdu2OTxH586dERUVhU2bNtlWmxEEATNmzEBoaCjmzp2LzMxMrFmzBtu3b0dqairatm2LwsJCHDt2DEePHsVXX3112T5JgiBg+PDh2LBhg63pvr1u3brho48+wiOPPIJHH30UH3zwAVJTUxEREYGysjLs27cPx44dc3jjHzBgAGbMmIE1a9Zg3LhxGDlyJERRxE8//YSCggLMmDHD6WeqMQ4ePIiZM2di4MCBl51m645Zs2bh559/xrJly5CVlYXu3bsjMzMTv/32G3r16mXrf3G51//kk0/wyy+/oF+/foiJiYFarUZeXh62b9+O6upqjBo1ymnaxD//+U/s2rULCxYswB9//IErrrgCu3fvxp9//olhw4a57Et29uxZnDt3ztbDjIiopkceeQR6vR6ffPIJRo8ejbS0NCQlJUGhUODcuXP4/fffUVZW5tRHxxOsFzmsAYarP+4GDBiAX3/9FYAUyntiIYaGMplMmD9/PkaMGOHUgHzGjBn4/vvvMW3aNKSlpSE9PR3t2rWr1xS44cOHIzQ0FJ988gmMRiNmzJjhVDm1Y8cOvPXWW+jXrx/i4+MRERGBnJwcbN26FWq12jZd29umT5+O3377DdOmTcPo0aOhUqmQkZGBwsJCDBw4sNaWAV26dEFqair27NkDlUrldBGzsebMmYP7778f7733HtasWQOZTIZp06Zh5cqVmDBhAoYNGwaNRoNff/0VsbGxLltlDBo0CCtXrsRzzz2HkSNHIjAwEDExMbj55puhUqnw3nvvYfbs2Zg+fToGDRqEpKQkCIKAvLw87NmzBxEREdi8efNlxzp48GAEBwfj999/x6xZs5z2N+T/5hNPPIHdu3fjww8/xP79+9GnTx/k5uZi8+bNCAwMxKuvvurRi8DvvPMONmzYgNdee83l30k1hYeH49lnn8WTTz6JiRMn2vrOpqen2y7A1ZwWOG/ePGRkZODTTz+1/Z1VVlaGMWPGoGfPnujcuTOio6NRXl6Ow4cP48iRIwgJCcHrr7/u8DwJCQmYM2cOFi5ciAkTJmDkyJGoqqrCpk2bAAAvvfSSy2OzY8cOKBQKh95r5D8YPlGLkpaWhlWrVgFwfVLUvn17JCQk4NSpU7jqqqs81vi4IawrrM2bN89paVaZTIYlS5bg+eefx9q1axEREYF//etfuPHGG+v1GhMmTMBXX30Fo9GIcePGOZ0UBQYG4vHHH7ddpSwpKUF4eDgSEhLw2GOP1btxd0MFBwdj9erVeOutt7B7925kZGSgS5cu+Pe//422bdvWGT6NHTsWCxYsgEwmq/fqK5ejVqtx77334qWXXsLixYvx5ptvonv37lixYgUWLlyIn376CXK5HCkpKfjyyy+xdetWp/BJLpdj8eLF+Pe//43vv//e1mz6pptuQmhoKFQqFZYtW4avv/4a//nPf/DTTz/BYDCgXbt2SExMxNSpU90uHb7tttuwfv16fPfdd5g9e7bT/sGDB+PHH3/EF198ge3bt+OHH35AVVUVQkJCkJSUhPnz52PSpEkOj5k/fz66deuGL7/8EmvXrgUgnYzOnTvX6b7+JigoCJ999hkWLVqEn376Cbt27UL79u1x11134cEHH3S7qfeECRNgsVhw4MAB7Nq1C3q93jZ9wf5kzF5UVBTWrl2LhQsXYvv27di6dStiY2Px8MMPY9asWS6ndlinbbjT7JaIWieZTIannnoK48aNw5dffok9e/Zgz549sFgsaN++PYYMGYJJkybh6quv9vhrC4KAtLQ0/Pjjj079nqzsz718fYFv+fLlyMvLc9knqG/fvnjjjTewePFifPnll+jWrRuef/55BAUFuf38arUao0aNslVouzoHufbaa5Gbm4s9e/bgp59+QnV1NaKjozFmzBjMmjWryfrSDBs2DO+//z4+/vhjbNy4EQEBARg0aBA++OADfPDBB3U+9uabb8aePXtwww03OPX9aazhw4ejZ8+eyMjIwB9//IHBgwfjscceQ3h4ODZs2IAvvvjCFgrOmTMH48ePd3qOoUOH4oknnsC6deuwatUqGI1GDBw4EDfffDMAaerdxo0bsXz5cvz666/Yt2+f7WLg9ddf7/a5bnBwMG666SasXbsWRUVFTkFYQ/5vRkZGYu3atViyZAm2bt2KvXv3IiQkBCNGjMCcOXP8YurYhAkT0KZNG3z88cdYv349AGlV4/vvv9/t3zORkZF44IEHkJGRYQvhlEolYmNj8Y9//AN33nmn00VTALj//vsRGxuL1atX48svv4RSqURqaioefvhhl1WVWq0WW7ZswXXXXef0txX5B0Gs2ZCCiKgZOXToEG699VZMmDABb775pq+H43PTpk3DhQsXkJ6e3iRTJskzTCYTRo4cibi4OHz66ae+Hg4REREA4MUXX8Tnn3+OTz75xOON7pubkydPYvz48baKLfIv69atw/z58/HZZ595tDKfPId/mRBRs2ZdjY9TlSRPPvkkTp06ZStLpuZhw4YNyMvLs614SURE5GsXLlzAhg0bkJCQgEGDBvl6OD7XuXNn3Hrrrfjkk08cemGS75lMJnz00UcYPnw4gyc/xml3RNTs5OXl4fvvv8fx48fxww8/YMiQIUhJSfH1sPxC37598eKLL7pcXY/8lyAIeOmll3zenJeIiGjbtm04cuQIfvzxR1RXV+Ohhx6q14rLLdncuXPRrl075ObmIjk52dfDoYvy8/Nx8803e7wvGXkWp90RUbOza9cuzJw5E0FBQUhLS8NLL72E9u3b+3pYRERERM3ev/71L2zYsAFRUVGYPn067r33Xl8PiYhaAIZPRERERERERETkNez5REREREREREREXsOeTwD2798PURShVCp9PRQiIiLyIaPRCEEQ2EfuMnjuRERERID7506sfAIgiiI8MftQFEUYDAaPPBe5xmPsfTzG3sdj7H08xt7XUo+xp84JWjqeOzUfPMbex2PsfTzG3sdj7H0t9Ri7e07AyifAdtWuV69ejXqe6upqZGVloUuXLggKCvLE0KgGHmPv4zH2Ph5j7+Mx9r6WeowPHTrk6yE0Czx3aj54jL2Px9j7eIy9j8fY+1rqMXb33ImVT0RERERERERE5DUMn4iIiIiIiIiIyGsYPhERERERERERkdcwfCIiIiIiIiIiIq9h+ERERERERERERF7D8ImIiIiIiIiIiLyG4RMREREREREREXkNwyciIiIiIiIiIvIahk9EREREREREROQ1DJ+IiIiIiIiIiMhrGD4REREREREREZHXMHwiIiIiIiIiIiKvYfhERERERERERERew/CJiIiIiIiIiIi8huETERERERERERF5DcOnJmA0mVFZbYDRZPb1UIiIiIiIiIiImpTC1wNoyU7mluOXvTnYk1UIk9kChVyG1G7RGJ7aCQkx4b4eHhERERERERGR1zF88pIdB/KwOj0TWr0JaqUMCrkMRpMZ2/adw64jBbhjbHdc0zvG18MkIiIiIiIiIvIqhk9ecDq/EqvTM2EwmtE2TA1BEGz7QkQRZRoDVm/KREy7YFZAEREREREREVGLxp5PXvC/P/Og1ZsQEaJyCJ4AQBAERISooNWb8Mvecz4aIRERERERERFR02D45GEms4h9x85DrZQ5BU9WgiBArZRhd2YBm5ATERERERERUYvG8MnDDCYRZosIhbzuQ6uQy2AyW6AzMHwiIiIiIiIiIu+4cMHXI2D45HEqhQC5TIDJbKnzftbV7wJU8iYaGRERERERERG1FmYzUFAAlJf7eiQMnzxOIRfQL6kd9EYLRFF0eR9RFKE3WjCgewcoFQyfiIiIiIiIiMhz9HogLw+orAQsddfGNAmGT15wbd8YBKoVKNMYnAIo8eJqd4FqBYb1j/PRCImIiIiIiIioJdJopOBJqwVqqYlpcgyfvCC+YyjuGNsdKqUcJRV6VFYboNWbUFltQEmFHiqlHHeM7Y6EmHBfD5WIiIiIiIiIWogLF4DCQsBo9PVIHCl8PYCW6preMYhpF4xf9p7D7swCmMwWKBVyXN07FsP6xzF4IiIiIiIiIiKPMJuB4mJpmp2/VDvZY/jkRQkx4UiICceM0V2hM5gRoJKzxxMREREREREReYxeDxQVATqdfwZPAMOnJqFUMHQiIiIiIiIiIs/SaKSKJ3+bZlcTwyciIiIiIiIiombmwgWgtFSacufvGD4RERERERERETUT/t7fyRWGT0REREREREREzUBz6O/kCsMnIiIiIiIiIiI/11z6O7nC8ImIiIiIiIiIyI81p/5OrjB8IiIiIiIiIiLyQ82xv5MrDJ+IiIiIiIiIiPxMc+3v5ArDJyIiIiIiIiIiP9Kc+zu5wvCJiIiIiIiIiMhPXLgg3SwWX4/Ecxg+ERERERERERH5WEvp7+QKwyciIiIiIiIiIh9qSf2dXGH4RERERERERETkIy2tv5MrDJ+IiIiIiIiIiHygJfZ3coXhExERERERERFRE2rJ/Z1cYfhERERERERERNREWnp/J1cYPhEREREREREReZlcLkdVlYDKSsBk8vVompbM1wMgIiIiIiIiImrZBGg0ahQWtr7gCWD4RERERERERETkNSYTUFAgoKTEArPZ16PxDU67IyIiIiIiIiLyAq1W6u+k0Ygwm1tJgycXGD4REREREREREXlYaSlw4YK0sl1raSxeG4ZPREREREREREQeYjYDxcWARgNYLL4ejX9g+ERERERERERE5AE6nTTNTq9ntZM9vwqf1q9fj6eeespp++zZs/H4448DAGbMmIGMjAyn+6SnpyMxMdHrYyQiIiIiIiIiqqmsDCgpQattKl4XvwqfrJYvX47Q0FDb19HR0Q77+/Xrh3nz5jlsi4uLa5KxERERERERERFZcZrd5fll+NSjRw9ERkbWuj8sLAx9+/ZtugEREREREREREdXAaXbu8cvwiYiIiIiIiIjIn3Ganfv8MnwaN24cSktLERMTgylTpmDWrFmQy+W2/RkZGejbty/MZjP69OmDhx9+GAMGDGjUa4qiiOrq6kY9h1ardfhInsdj7H08xt7HY+x9PMbe11KPsSiKEATB18MgIiIiP8ZpdvXnV+FT+/bt8dBDD6FPnz4QBAFbt27FwoULUVhYiOeeew4AMGDAAEyYMAHx8fEoKirCihUrcOedd2LNmjVISUlp8GsbjUZkZWV55Ps4ffq0R56Hasdj7H08xt7HY+x9PMbe1xKPsUql8vUQiIiIyE9xml3D+FX4dO211+Laa6+1fT1kyBCo1WqsXr0a9913H6KiojB37lyHx1x33XUYN24clixZgmXLljX4tZVKJbp06dLgxwPS1d/Tp08jPj4egYGBjXouco3H2Pt4jL2Px9j7eIy9r6Ue4xMnTvh6CEREROSnysqACxcAk8nXI2l+/Cp8cmX06NFYuXIlsrKyEBUV5bQ/KCgIQ4cOxY8//tio1xEEAUFBQY16DqvAwECPPRe5xmPsfTzG3sdj7H08xt7X0o4xp9wRERFRTZxm13h+Hz4REREREREREfkCp9l5ht+HT+np6ZDL5ejevbvL/dXV1di2bRt69erVxCPzLaPJDJ3BjACVHEqF/PIPICIiIiIiIiK3cZqd5/hV+HT33XcjLS0NycnJAICff/4Za9euxcyZM9G+fXvs2bMHy5cvxw033IDY2FgUFRVh1apVKC4uxnvvvefj0TeNk7nl+GVvDvZkFcJktkAhlyG1WzSGp3ZCQky4r4dHRERERERE1Kxxmp3n+VX4lJCQgG+++QYFBQWwWCyIj4/H008/jRkzZgCQVsMzGo149913UVZWhsDAQKSkpGDBggXo3bu3j0fvfTsO5GF1eia0ehPUShkUchmMJjO27TuHXUcKcMfY7rimd4yvh0lERERERETULOn1QGEhp9l5ml+FT/Pnz69z/5VXXokVK1Y00Wg8zGgElMoGP/xkbjlWp2fCYDSjbZjaoSFqiCiiTGPA6k2ZiGkXzAooIiIiIiIionoqLwdKSjjNzhtkvh5Aq1FYCFRVNfjhv+zNgVZvQkSIymklHkEQEBGiglZvwi97zzV2pERERERERESthtks/cleXMzgyVsYPjUViwUoKJCi1HoymszYk1UItVJW6xLQgiBArZRhd2YBjCZzY0dLRERERERE1OLp9UBeHlBRwf5O3uRX0+5aPGvXMpMJaNvW7YfpDGZbc/G6KOQymMwW6AxmroBHREREREREVAdOs2s6DJ+amsUirdVoNALh4YBaDcjqDpUCVHJbc/G6mMwWKBVyBKgYPBERERERERG5YrFIdSGVlax2aioMn3xBFKWaPo0GEAQpgFKrgYAA6VajMblSIUdqt2hs23cOIaLocuqdKIrQGy24uncsq56IiIiIiIiIXNDrgaIiQKfjanZNieGTL1kj1upq6SYIUhWUWg0EBUlBVGAgIAgY1r8Tdh0pQJnG4NR0XLy42l2gWoFh/eN89M0QERERERER+S9Os/Mdhk/+RBSlvlDWMEomAxQKIDgYnSNDMGtCT6xJz0JJhR5qpczW40lvtCBQrcAdY7sjISbc198FERERERERkd/gNDvfY/jkzywWwGCQbuXlGBiiQuz4ROw6WY7dJ8tQrTdBJcpxde8oDOsfx+CJiIiIiIiIyA6n2fkHhk/NhcUC6HSIlQm45apAjO8SCINCCVVoCJTBF6foEREREREREREAqdXy+fOcZucPGD41N6IIiCKUAJRGPVBqAMpKpSl61oblKpX0UcF/XiIiIiIiImpdOM3O/zCdaO4uhlGwWKTV8zQaKYgSBEAul1bOUyqlIEqlkj4qldI+IiIiIiIiohaE0+z8E8Onlsga7ZrNUr8oQAqjrB/tgymV6tJHazhFRERERERE1Mxwmp3/YtLQWlgjX+tHazBVVXUpkBIEKXxSq6UgSq2WbgykiIiIiIiIyE9ZLFLoVFHBaXb+iqkCXZq6B0ihlF7vGEhZK6OsYZRazWl7RERERERE5HOcZtc8MHwi12oGUjqdcyClVjtO2VOpfDtmIiIiIiIiajU4za75YPhE7rtcICUIjk3Na3609p0iIiIiIiIiaiBOs2t+GD5R49gHUoBj5GwfSgGXqqQUiks362p8MlnTjpuIiIiIiIiaHU6za54YPpH31AymrNVSgGMoZW10bh9MWUMplYoVU0RERERERMRpds0YwyfyDVfBlF4vfV4zmFKpbEGUIIpQsUqKiIiIiIio1eA0u+aP4RP5n5rBlFYr3QQB0OmgyMuDLCgICA+Xmp5bV+JT8MeZiIiIiIioJdHrgeJi6U9CTrNrvvjXOjUfoghYLDDr9RBdNTuvufIep+0RERERERE1W5WVUvDEaXbNH8Mnat5crcAHOK/AZ111z76nlEIByOW+GzsRERERERE54TS7lofhE7VM9qGUddoe4NxPSi6/FES5CqhYNUVERERERNRkOM2uZWL4RK2Lq0bnBsOlr+0rpgDnUMq6Cp/1ayIiIiIiIvIITrNrufjXM5G9y63CZ/3oqmqqZkhFREREREREl2WxACUlQHk5p9m1VAyfiNxlDaXse0zVVjVl32vK2vicDdCJiIiIiIgccJpd68DwichTalZN2deK2odSarVjGGX9nIiIiIiIqBWprJQaixuNvh4JeRvDJ6KmYB9MVVdLN/tASia7FErZB1NcjY+IiIiIiFoYTrNrfRg+EfmKfSBlNl+K++1DKfvqKE7dIyIiIiKiZs5gAIqKOM2utWH4RORvaoZSOp30ec0qqZrBFFffIyJqtTZs2IDVq1cjOzsbQUFB6NWrFxYvXoyAgAAAwNatW7Fw4UKcOnUKMTExuOeeezBp0iQfj5qIiFobjUbq78Rpdq0P/1olai6soZTFcqmflH2VlELhGEZZK6VkMt+Om4iIvOrDDz/EsmXLcN9996Fv374oLS3FH3/8AbPZDADYs2cP5syZg1tvvRVPP/00du7ciWeeeQbBwcEYNWqUj0dPREStgShKvZ04za71YvjUTBhNZuiNZqiVcigV7ANEF9WsktLrpc9rrrrnauoeERE1eydPnsTixYuxZMkSDB061Lb9xhtvtH3+4Ycfonfv3njxxRcBAIMGDUJOTg7ef/99hk9EROR1nGZHAMMnv5dTWImdh/NxOLsEZosFcpkMPRPbYlDPjugUHerr4ZG/sg+ltFrpVluDc/vpexcbnMtYLUVE1CysX78ecXFxDsGTPYPBgF27duHxxx932D5mzBh8//33OHfuHOLi4ppiqERE1Apxmh1ZMXzyY3uPFmLD9mzoDSaoFDLIZTKYzGZkZBbgwInzmDg0Ef27Rvt6mNRcuNngXGaxIKCqCkJFhVQTq1Ry+h4RkZ86cOAAkpKSsGTJEqxZswaVlZXo2bMnnnrqKfTp0wdnz56F0WhE586dHR6XmJgIQKqcamj4JIoiqqurGzV+rVbr8JE8j8fY+3iMvY/H2Ps8f4wF22p2F2eBt3q6i718rR+bkkJhrTzzfOmZKIoQ3FgQi+GTn8oprMSG7dkwGs2ICFFBgPUfU44giKioMmLD9mxEtQliBRQ1To1QStRqYS4uBsLCpEsVwKWeUkql9LHm5woFV+AjIvKB4uJiHD58GMeOHcPzzz+PwMBAfPTRR7jrrrvw008/oby8HAAQFhbm8Djr19b9DWE0GpGVldXwwds5ffq0R56Hasdj7H08xt7HY+x9jT3GgiBAEFQoLVWistIEs5nz7GrKzc1t8tcMCFDAbDbA6KUSNJUbbV0YPvmpnYfzoTeYagRPEgECwoKVKNMYsOtIAcMn8jz75uZW9j2lAMeKKeDSins1wyml0jadj4iIPMtaffTee++ha9euAIA+ffpg+PDh+OyzzzBkyBCvvbZSqUSXLl0a9RxarRanT59GfHw8AgMDPTQyssdj7H08xt7HY+x9njrGVVUCzp8H2raVbnSJTqdDbm4uYmNjbavRNhWFAujc2TuVTydOnHBvDB5/ZWo0o8mMw9klUClkTsGTlQABKoUMh06cx4S/dWYTcmp69hVTgFTHaWUNpOx7TFnDKes0PvuAioiIGiQsLAwRERG24AkAIiIi0L17d5w4cQJjx44FAFRWVjo8rqKiAgAQHh7e4NcWBAFBQUENfry9wMBAjz0XucZj7H08xt7HY+x9DT3GogjbNDu5HGBGWLuAgIAmD1G9+W/izpQ7gOGTX9Ibzbbm4nWRy2QwWyzQG80Mn8i/WEMpVz2mAOfm59ZAquZUPqWS0/mIiOrQpUsXnD171uU+vV6PK664AkqlEidPnsS1115r23fy5EkAcOoFRUREVF8Gg9RUvLqaq9lR7dhB2Ns0GuDbb4H0dGDXLuDoUaCgAKijyZhaKbcFS3WxBlRqJYMnamasU/qsoVR1tXSZ5Px5oLAQyMsDcnKAkyeBs2eB/HzpHa20VPo/pdMBJpOvvwsiIp8bNmwYysrKHHovlZaW4siRI+jRowdUKhXS0tLw448/OjwuPT0diYmJXOmOiIgaRaORTt2rqhg8Ud1Y+eRt06dL4ZMrajUQHg5EREgfL36uDA/HpPNG/FUhQggPhz4wBNqAEGgDQ6ANDIZJoYIoAAaTBSnJ0ax6opal5nQ+s/lSWOtqOl/NKXz2VVNcoY+IWrjrr78evXr1wty5c/Hoo49CrVZj6dKlUKlUmDZtGgDg/vvvx8yZM/HCCy9g9OjR2LVrF77//nu8++67Ph49ERE1V9ZpdmVljm1iiWrD8Mnb6mq+pdcDRUXSrYbeF2+umORKVAUEQxsQjIi4aOCbyEvhVZs2DkGWQ7AVGMgpTNS8uTudz/q5XH4plJLLHb9mI3QiagFkMhmWLl2K1157Dc899xyMRiNSU1Px+eefo3379gCA1NRULFq0CAsXLsTXX3+NmJgYvPzyyxg9erSPR09ERM0Rp9lRQzB88rZly4BXX5WmD5WWStGwfWPmBlCYjQivKkN4VRlQUo9lGlUq50or+69r+xgUxNCKmgdXVVMGw6Wva1ZOKRTS/wv7qilr7ylWTRFRMxEZGYm33nqrzvuMGDECI0aMaKIRERFRS6XRSJ0y7E+xidzB8MnbBg8GvvtO6ltjnTqk10shVEWF1OemrEy6lZdf+vriR0PJBRhLSqGorITaWHufKLdYI+ri4vo9Tql0mhrosrKq5ucMrcjfuKqc0uulz2tWTdkHUzVvREREREStCKfZUWMxfPIFtRqIjpZul6G6eDOazNBUaaGu1kBZpak1rLLdKioufV5d3bjxGo0ND61qVli5E2IFBzO0oqbnqmqqZjBl7TNVWyjFaikiIiIiamE4zY48geFTM6FUyKEMDwHCQ+r/YIPBMYxyFVq52lZV1bhBG41STeb58/V7nFIJhIW5DKoUwcGINBgg79IFaN/esdcVQyvyFvtgyr7PVM1qKfsgyn4an7XnFBERERFRM8JpduQpDJ9aA5UKaNdOutWH0egcStUVWlm/1mgaN16jUarpLClx2qUEEFPb4xQKKbSqWU1VM8Sq+XVICEOrVsJoMkNvNEOtlHtmlcjLrcxXS/NzwWRCoNkMQafjVD4iIiIi8jucZkeexvCJaqdUNjy0slZauQqnXE0V9ERoZTIBFy5It/qQyy9VWrlqxl5zm3VFwdBQhlbNRE5hJXYezsfh7BKYLRbIZTL0TGyLQT07olN0qHdetK7m5zodxPx8aQVKa2+0mlP47Cun+HNGRERERE3EaJQWZOc0O/Ikhk/keUol0LatdKsPoxGorJRWBbSGVNaAqrQUqKiA6cIFaPPzEWw0QlZZKe2rrGzceM1m6flLS+v3OGto5aq6qq4eV6Gh7A3UhPYeLcSG7dnQG0xQKWSQy2Qwmc3IyCzAgRPnMXFoIvp3vXz/NY8SRYhms3QZyWyWtplMl1bCtO8xBTiGUdZASi5nOEVEREREHiOXy1FdLUCj4TQ78jyGT+Q/lEogMlK61cKo1eJMdjYSExMRGBgobTSZaq+0crWqoHVbRUXjxtvQ0Eomq7WnlcvAiqFVg+UUVmLD9mwYjWZEhKggwBrSyBEEERVVRmzYno2oNkHeq4BqCFdVU/YuF07VDKoYThERERFRnQRUValRUCB1bSHyNIZP1PwpFJcNrVwym12HVpdrxl5R0bj6U4vlUghWH4LgHFbVNjXQfltYWKsNrXYezofeYKoRPEkECAgLVqJMY8CuIwX+FT5dTkPCKVdN0K03IiIiImq1jEagoEDA+fMWhDRgfSsid/jVXx3r16/HU0895bR99uzZePzxx21fr1u3DsuXL0deXh4SEhLw6KOPYtiwYU05VGoJ5HKpf1ObNvV7nDW0qhlO1exhZf/Rev/GhFaieOn5z5xx/3H2oZWr3lU1AitBrYa8stI50GhmjCYzDmeXQKWQOQVPVgIEqBQyHDpxHhP+1tkzTcj9weUaoVs/CoIUTKpUl0KpmsEUq6aIiIiIWizranaVlSLMZjZ4Iu/xq/DJavny5QgNvVSFEB19qR/Lpk2b8Oyzz+K+++7DoEGDkJ6ejjlz5uDzzz9H3759fTBaanUaGlpZLM6hlTtN2SsqGrfEhH1o5YYAAN0AiIJwqadVzamBda0eGBYmHSMf0xvNtubidZHLZDBbLNAbzS0nfKqLNZSyfjSbpctdVvZVU64aodsHVERERETULImitE5TWVmzv+ZMzYRf/vXQo0cPRNYyher999/H2LFj8cgjjwAABg0ahGPHjuGDDz7AsmXLmnCURPUkk10Ka6680v3HWSxSU/UazdcvG2I1MrQSRPHSc9ZXzdCqtv5WNUMrDwYaaqXc1lwcqD1UMlssUMjlUCtbQfDkjppVU7U1QpfJnMMoaxN0uVy6sWqKiIiIyO8YjUBxMVBVxdXsqOn4ZfhUm5ycHJw+fRpPPPGEw/YxY8bgzTffhMFggIrd0ailkckuhTRXXOH+4ywWqY62ZkVVebkUYNlPB7TbJlZUQGhMpRVwqaF7Tk79Hhca6l4fK/uvawmtlAo5eia2RUZmAYIgupx6J0KEwWRBSnJ066h6aiz7YKq2iinr54DzynzWYMp+GxERERE1maoqKXjianbU1PzyzH/cuHEoLS1FTEwMpkyZglmzZkEul+PkyZMAgISEBIf7JyYmwmg0IicnB4mJiQ16TVEUUV1d3ahxay9WB1g/2pPpdBBdbKf60V3sW2P9SJehVALt20s3N+mqq5F/4gRig4Oh1ukglJdDuBhQCRUVEC6GVg7brJ83NrSqrJRu587V62FiSAjEi9VW4sUbwsIwQhWE4BwdKpVBEMPDoQsMhjYwGNrAEFSrg1Ghs0CtkKFvlzYu/996S6v9Oa45pU8QIFysnBLl8ku9pxQKKXSVy9HQi3F1/T4mz2ipx1gURQis2iMiohZGFC8t1M1pduQLfhU+tW/fHg899BD69OkDQRCwdetWLFy4EIWFhXjuuedQfnH6T1hYmMPjrF+XN2R60EVGoxFZWVkNH7yd06dPO3ytUCigLiyESaPxyPMTkJub6+shtGzBwcgBgIAA6WbXd61WFgtkWi3kGg3kGg0UlZW2z+UaDeTWr+22KyorIa+qgtDId0BBo4Gg0QB5eQ7bIwGMqeNxWlUALKGhkG0MhTkkBKZQ6aM5JARmF5+bLn7tqYod/hzbEQQIggBBJoMgk9m+tgVRCoUUUMnlEC9us8jlsMhkECEFBvY3q5q/j8nzWuIxZhU1ERG1JJxmR/7Ar8Kna6+9Ftdee63t6yFDhkCtVmP16tW47777vPraSqUSXbp0adRzaLVanD59GvHx8QgMDHTYJwsMZOWTB+h0OuTm5iI2NhYBAQG+Hk6L1FTHWARgBGAURaCqSqqeulhZJVycDuhym331lcnUqDEEGnRAiQ4oKa7f2IODpUqriAiIYWFSpVV4uHP1VY1KLCiVAPhz3Cg1p/fZV0/ZrdKnM5lwrqAAcfHxUKvVvh1zC1XXe15zduLECV8PgYiIyGM4zY78hV+FT66MHj0aK1euRFZWFsLDwwEAlZWVaG83jaiiogIAbPsbQhAEBAUFNW6wFwUGBjo/F//A9KiAgIAW9ceOP2rSYxwUVK+pgQCkyzZVVXWvFlijIbt48WNjQyuhqgpCVRWQn1+/BwYFARERUIeGQqlSIaBDBygiI6WVE2v2t7L/yCqMyzMapZs1mNLrocjLQ4BKhcDgYKnHlEx26WbfIN1ump8/rNTY3Lh8z2vGOOWOiIhaAk6zI3/j9+GTvc6dOwMATp48afvc+rVSqUSnTp18NTQiamqCAISESLfYWPceAjiHVtZm6/Zfu2rSXlbm2GC7IaqrgepqyACEAMChQ+497mJoddkG7DU/tsbQyq4hulmvl1brq+1SX40KKtvn9qv2WUMp68eaTdXtAy2GV0REROQHOM2O/JHfh0/p6emQy+Xo3r072rdvj/j4eGzevBnXX3+9w30GDx7MHg1EdHkNCK0ASO/c1dWOYVRp6aUVA2tUWTmEWB4KrWr2tLqswMC6A6rwcNdVV61lmpr1bKzmWZnJBOj1jttcVcPYb7P/3BpCWW/WcEoQHMMqa9Blv70ursKyVspoMkNnMCNAJedKlURERHaqqoDz551PZYh8za/Cp7vvvhtpaWlITk4GAPz8889Yu3YtZs6caZtm99BDD+Hxxx/HFVdcgbS0NKSnp+PgwYP47LPPfDl0ImrpBAEIDpZuMTHuP04UAa3WIZDSFxXh/IkTiFKrodRoLgVV1iCrtNQzoZVWK93qOz0wIKD2gMpVgGWtwmrJoZWry4a1XUqsrba9ZmBUW3jlLmsIZR9o2QdbNW8yGYwWEXqzCLVaCaVKeanKq4FhVqOmqInipWNYW6BmHxCKIs7kV2DnoVwcyS5BucECg9GC1G7RGJ7aCQkxDZ96T0RE1Nxxmh35O78KnxISEvDNN9+goKAAFosF8fHxePrppzFjxgzbfcaNGwetVotly5Zh6dKlSEhIwOLFi5GSkuLDkRMR1UIQpGlzQUFAx44AAItWi9LOnRGZmAhlbX21rKFVRcWlCiprQFWzn1XN+zS2o6ROBxQUSLf6CAiofQpgzcDKPrRqLT3xaoZVTVgHn1OkQUZmAbJOXYAFIhRyObontMWAHh0Q2/7iCo5K5aVKLWuoBThPS7xI0OkQqNdLiwEYDIDFIu2wWKTvzf6j/c0aOrn6/q2v5aIq7cCJYqT/fhp6gwlhQSoY2nRElVaLbfvOYdeRAtwxtjuu6V2PYJiIiKiFMJmAoiJOsyP/5lfh0/z589263+TJkzF58mQvj4aIyIfsQ6sOHer3WGulVW0N2GubJqjTNW7MOp10Kyys3+PU6sv3sXK1PSCg1U8/c8feo4XYsD0beoMJKoUMcpkMeosRO/7MwZ7MfEwcmoj+XaNd1+fXdXy1WlgKC6VqQGuI6qUz3pzCSqz76SiMRjPCgpVQyWUIUMkRGqRCiCiiTGPA6k2ZiGkXzAooIiJqVaqrpf5OnGZH/s6vwiciIvKAwEDpVt/QSqe7fGjlqkG7Vtu48er10uW6oqL6PU6lcgym7AIqRXAw2uj1kHXpAkRFOd6nFYVWOYWV2LA9G0ajGREhKgiwft9yBEFERZURG7ZnI6pNEDpFhzo/QV1hkihCtK9k8qKdh/OhN5hqfA8SQRAQEaJCSYUev+w9x/CJiIhaBU6zo+aG4RMREUkCAqRbdHT9HmcNrVxVVNkHV9YG7dZtjQ2tDIZaQyslgFrbyatUrvtW1VVlFR4uVaE1s9CqztAGAsKClSjTGLDrSIHr8MkPGE1mHM4ugUohc/oerARBgFopw+7MAswY3ZVNyImIqEXjNDtqjhg++RGjyQy90Qy1kqv3EFEz0tDQSq937FnlKqByVXlVXd248RoMUn16cXH9HqdU1t5wvWYfK/uvfRRauRXaQIBKIcOhE+cx4W+d/fK9R280w2yxQH6Z1QAVchlMZgt0BrNffh9ERESewGl21FwxfPIDOYWV2Hk4H4ezS2wn2D0T22JQz45+eyWaiKjR1GopsKpvaGUwXLaflenCBegKChBkMEBWWSntb2xoZTQ2PLS6XEjlaltwcKNCK3dDG7lMBrPFAr3RP0MbtVIOuUwGk9kMoPbxmcwWKBVyBKj873sgIiJqLE6zo+aO4ZOPuWoEazKbkZFZgAMnzl9qBEtERBKVSurjFBVV612MWi1OZ2cjMTERgdZm2NbQyr6yquYUQftVBa3bqqoaN16jETh/XrrVhzW0qiugcvX1xdDK3dDGbLFAIZdDrfTP0EapkKNnYltkZBYgCKLLKi5RFKE3WnB171i/DNCIiIgaw2SSrn1pNJxmR80XwycfanQjWCIicp8boZVLBoNjGOWqn5Wrfb4KrRQKIDwcyvBwPCSoUWhWwRQSCl1gMLSBodAFBEMbGAxtQAi0gcEotKjQvW8ilPK6K6R8aVDPjjhw4jwqqowIC1Y67BMvrnYXqFZgWP84H42QiIjIOzjNjloKhk8+1BIawRIRtXgqFdCunXSrD6PROZyqrRm7fXCl0TRuvCYTUFIClJSgHQC3Rv0pgCfkdVdU1fgoBARA1kSdTjtFh2Li0ERs2J6NMo0BcpUSOoMZldUG6I0WBKoVuGNsd650R0RELcqFC5xmRy0HwycfaSmNYImIqBZKZcNDq5pTA2vpbeUwTbCysnHjNZuls9wLF9y6ewCA7gBEuRwIC5NCqTZt6gysHD6GhACX6Udlr3/XaES1CcKuIwU4XVQFs0WEUiHH1b1jMax/HIMnIiJqMTjNjloihk8+0lIawbqDq/gREdWDUgm0bSvd6sNkcpweaBdQlecWofhMAbQF5xGg0yBIV4Vwsw5BuirINI0LrQSz+VIH1NOn3X+gfWhVW5VVje2dwsPR6bpEGGVy6DtdyfcVIiJqcTjNjloqhk8+0lIawdaFq/gRETUhhQKIjJRuNYRfvLm8GGANrWprwl7btoqKxo3XPrSqD5kMyrZtoZw/H5g7t3FjICIi8iOcZkctGcMnH3Fr9R6IMJgsSEmObnZXdrmKHxGR/1EqXFQK1RFa1UWr0eD0oUNIaNMGAXq962bsrsKriorGzSGwWKRLwo8/DsyZU6+pe0RERP6I0+yoNWD45EM1V++xD6DEi6vdqVUKpPXo0LQDE1z3oHJSy29GruJHRNQKyOUwh4ZCvPJKIDDQ/ceZzVJ/qtp6WNVWhVVe7vi+c/31DJ6IiKjZ02qBoiJOs6OWj+GTD1lX7/nPr9moqDZCrZRDIZfDIlpgMIsIDlFj/JDO6NTRrolqzWBIEKSTb0FwvFn31fzcnX01t9W8LyBdedZopN+WFovDHwRcxY+IiGoll1/q51QfFosUWllDqBEjvDE6IiKiJsNpdtSaMHxqKjIZoFZLH61hkUyG/mnh6HhVHPYeLUbmmVKYREApl6FvYnukdu+AuKhQp8fYwiBfX/ENCwMMBimEqqwEjEYYDUaXq/iJACyiCJkgcBU/IiKqP5nsUvNxudz374FEREQNZJ1mV1UlXVshag0YPjWVuLhad8VEAzHdEjDKZIbOYEaAqhmt3qNSSX1C2rQBKithyCsABNhW8TOYLKjSGlGtN0kJlAAEqRVQKJr/Kn5ERERERET1wWl21FoxfPIjLhvBNheCAISFQaVWI6TjcehLylCtNaC0Ug/RIkqz9QQBEEVUaY0AgNBgVbNcxY+IiIiIiKi+SkulqXacZketEWvWyaOUajU6dusMTXg7iGo1FEo55HIBMpkMMuHiR5k0Bc9gMKOgpNrXQyYiIiIiIvIakwkoKABKShg8UevF8Ik87ureMcjRmFEQFInADu0RGh4MmUzq/ySKIiwWQC4TIMgE7DpS4OPREhEREREReYdWC+TmSou5sr8TtWYMn8jjOkWHQCGXo6TCgDMGFcoj2iMkqi0CApWwWEQIgoA2oQEIVMtx6MR5GE2M/4mIiIiIqGUpLQXy8tjfiQhgzyfyAp3BDJVShrbhahiMFhRUGqEJDEHb9gGIaVMFUauHXCbdj03HiYiIiIioJTGbpdXsNBpWOxFZMXwijwtQyaGQy2AURbSLCJSm2okiBLkalqBwRGgrob9QhiqdEQq5nE3HiYiIiIioRdBqpeBJp/P1SIj8C6fdkccpFXKkdouG3miBKErT7OQyGSwiUFplQklAGBTtIiFXKtCrSztWPRERERERUbNnnWbH4InIGcMn8oph/TshUK1AmcYAURQd9pVXGZCtU0Id0wGD+8b5aIRERERERESNZzZzNTuiy2H4RF7ROTYcd4ztDpVSjpIKPSqrDdDqTaisNqCkQg+DyYIR1/dCVPfOqDKLbDpORERERETNjk4nrWZXWcn+TkR1Yc8n8pprescgpl0wftl7DrszC2AyW6BUyHF171hc1SkCR06W4IsfjyJcBYRXV6BzpBIDukajU3Sor4dORERERERUp7IyVjsRuYvhE3lVQkw4EmLCMWN0V+gMZgSo5Mg4UojV6ZnQ6k1QK2UwmeTQBYSjqkSDo/89hhtT49C/a7Svh05EREREROSEq9kR1R/DJ2oSSoUcSoUcJ3PLsTo9EwajGW3D1BAEAQBgsgD6sHCYVWr8fKAAUW2CWAFFRERERER+RacDiooAvR6o0dqWiOrAnk/UpH7ZmwOt3oSIEJUteLLS6s3QKlQoDm6LAwU6oMZ+IiIiIiIiXykrk/o76XQMnojqi+ETNRmjyYw9WYVQK2VOwZOVySyiTGfCb4VmGMMjALm8aQdJRERERERkx7qa3fnz7O9E1FCcdkdNRmcww2S2QCGvO/OUy2QoqdBDFxIOZUiwNKFar2+iURIREREREUk4zY7IM1j5RE0mQCWHQi6DyVx3Vz5rQBWgkgNBQUBsLBAWxml4RERERETUZMrKgLw8TrMj8gSGT9RklAo5UrtFQ2+0QKzlt7coitAbLRjQvQOUiotT7hQKoEMHoE0bTsMjIiIiIiKvsp9mZzL5ejRELQPDJ2pSw/p3QqBagTKNwSmAEkURZRoDAtUKDOsf5/zgdu2Atm0hV6maaLRERERERNSa6HRSU/HKSsBS94QNIqoHhk/UpDrHhuOOsd2hUspRUqFHZbUBWr0JldUGlFTooVLKccfY7kiICXf5eDE8HGJUlFQNRURERERE5CGcZkfkPfwLnprcNb1jENMuGL/sPYfdmQUwmS1QKuS4uncshvWPqzV4stIrlUDHjkB5OWA0NtGoiYiIiIioJTKbpTWONBpWOxF5C8Mn8omEmHAkxIRjxuiu0BnMCFDJL/V4ugyLxQIxIAAIDpYmY3MlPCIiIiIiagCuZkfUNBg+kU8pFe6HTk7UaqkReWGh9K5BRERERETkpvJyoKSETcWJmgJ7PlHzplZLU/ACA309EiIiIiIiagasq9kVFzN4ImoqDJ+o+bP2gAoOBgTB16MhIiIiIiI/pddzNTsiX2D4RC2DQiFNwQsJYQBFREREREROysul4Imr2RE1PYZP1HLI5VIA1aYNIOOPNhERERERSdPsCgs5zY7Il9hwnFoWQQDatQNUKuD8eb67EBERERG1Ynq9tJodq52IfIvhE7VMYWFSAFVYKL3jEBERERFRq8LV7Ij8B+cmUcsVEADExrIPFBERERFRK2KxcJodkb9h+EQtm0IhrYTHPlBERERERC2edTW7igquZkfkTzjtjlo+ax8otZqXP4iIiIiIWqiKCrZ9JfJXDJ+o9QgNdewDxY6DRERERETNnsUiXWOurGS1E5G/4jwkal3UaqkPVGgo+0ARERERETVznGZH1Dyw8olaH7kc6NBBqoIqLQXMZl+PiIiIiIiI6onT7IiaD7+tfKqqqsLf/vY3JCcn49ChQ7btM2bMQHJystMtOzvbh6OlZikyEoiOBpRKX4+EiIiIiIjcZLEARUXSjcETUfPgt5VPS5YsgbmWipR+/fph3rx5Dtvi4uKaYljU0oSESBVQRUWAVss+UEREREREfkyvl07ddTqeuhM1J34ZPmVnZ+OLL77AvHnz8PzzzzvtDwsLQ9++fZt+YNQyqVRATAy7FBIRERER+Sm5XI7KSgFVVax2ImqO/DJ8evnllzF16lQkJCT4eijUWshk0hQ8tRooKWEfKCIiIiIiPyGKAior1VAopOvGRNT8+F34tHnzZhw7dgyLFi3CkSNHXN4nIyMDffv2hdlsRp8+ffDwww9jwIABjXpdURRRXV3dqOfQarUOH8nzvH6MVSoIbdpAKC6GqNN55zX8nO7i961rpd9/U+Ax9j4eY+/z6TFWKACtFqIX5luIogiBq6ESEfkNvR7IyxNQUmJBWJivR0NEDeVX4ZNWq8Xrr7+ORx99FCEhIS7vM2DAAEyYMAHx8fEoKirCihUrcOedd2LNmjVISUlp8GsbjUZkZWU1+PH2Tp8+7ZHnodp58xgLggClTAbVhQswVVZCbKVVULm5ub4eQovHY+x9PMbe54tjrAgIgMFshtFo9Mrzq3hZnYjIL1hXs6uuFmGxsMETUXPmV+HThx9+iLZt22LSpEm13mfu3LkOX1933XUYN24clixZgmXLljX4tZVKJbp06dLgxwNSeHb69GnEx8cjMDCwUc9FrjXlMRYAaQpeeXmrmoan0+mQm5uL2NhYBAQE+Ho4LRKPsffxGHufT4+xQgF07uyVyqcTJ054/DmJiKh+LBYpdKqoYDtWopbCb8Kn3NxcrFy5Eh988AEqKysBwDYNrrq6GlVVVQgODnZ6XFBQEIYOHYoff/yxUa8vCAKCgoIa9RxWgYGBHnsucq3JjnFQEBAeLr37tbLOhgEBAQxRvYzH2Pt4jL3PJ8dYLge89JqcckdE5Ft6vbQOEBeiJmpZ/CZ8OnfuHIxGI+655x6nfTNnzkSfPn2wdu1aH4yMWr2wMKmzoXVNVyIiIiIi8rjKSil4amXXfIlaBb8Jn7p164ZPP/3UYVtWVhZee+01LFiwAL169XL5uOrqamzbtq3W/UQeERAAxMRI74YaDS/DEBERERF5CKfZEbV8fhM+hYWFIS0tzeW+Hj16oEePHtizZw+WL1+OG264AbGxsSgqKsKqVatQXFyM9957r4lHTK2OQgF06ACUlgIXLvCdkYiIiIiokTjNjqh18JvwyR3t27eH0WjEu+++i7KyMgQGBiIlJQULFixA7969fT08ag0EAYiMlKbhFRcDXlppiYiIiIiopeM0O6LWw6/Dp7S0NPz111+2r6+88kqsWLHChyMiuigkBFAqL/WB4mUaIiIiIiK3WCyXFpXmZAKi1kHm6wEQNVtqNRAbC4SGAjL+VyIiIiIiuhy9HsjLA8rKGDwRtSb8i5moMWQyqQ9U27bS0t9ERERERORSZaUUPFVXc+IAUWvj19PuiJqNNm2kSqiiIsBg8PVoiIiIiIj8BqfZERErn4g8JShImoYXHCw1JiciIiIiauUMBk6zIyKGT0SepVQCMTFAeDj7QBERERFRq6bRALm5nGZHRJx2R+R5ggBERUnT8EpKuHYsEREREbUqogicP89pdkR0CcMnIm8JD7/UB0qn8/VoiIiIiIi8zmCQTn+1WlY7EdElDJ+IvCkgQJqGV1ws1R3zHZiIiDxo/fr1eOqpp5y2z549G48//jgAYMaMGcjIyHC6T3p6OhITE70+RiJqPTQa6bTXaPT1SIjI3zB8IvI2hQLo0AG4cAEoLWXtMRERedzy5csRGhpq+zo6Otphf79+/TBv3jyHbXFxcU0yNiJq+TjNjoguh+ETUVMQBKBtW2kaHi8HERGRh/Xo0QORkZG17g8LC0Pfvn2bbkBE1Gpwmh0RuYPhE1FTCgmRVsSz9oHiOzQRERERNVOcZkdE7mL4RNTU1GrHPlCsTSYiokYaN24cSktLERMTgylTpmDWrFmQy+W2/RkZGejbty/MZjP69OmDhx9+GAMGDGjUa4qiiOrq6kY9h1ardfhInsdj7H2t8xgLKCmRptmZzd5/Nd3FxXt0XMTHa3iMvc+Xx1ihsFYner74QRRFCIJw+TF4/JWJ6PLkcsc+UE3xrk1ERC1O+/bt8dBDD6FPnz4QBAFbt27FwoULUVhYiOeeew4AMGDAAEyYMAHx8fEoKirCihUrcOedd2LNmjVISUlp8GsbjUZkZWV55Ps4ffq0R56Hasdj7H2t4RgLggBBUKG0VInKShPM5qat4s/NzW3S12uNeIy9zxfHOCBAAbPZAKOXyhRVKtVl78PwiciXIiMv9YEyGHw9GiIiamauvfZaXHvttbavhwwZArVajdWrV+O+++5DVFQU5s6d6/CY6667DuPGjcOSJUuwbNmyBr+2UqlEly5dGvx4QKoUOX36NOLj4xEYGNio5yLXeIy9rzUd46oqASUlAmQyEW3bNt3r6nQ65ObmIjY2FgEBAU33wq0Ij7H3+fIYKxRA587eqXw6ceKEe2Pw+CsTUf0EB1/qA8VOjURE1EijR4/GypUrkZWVhaioKKf9QUFBGDp0KH788cdGvY4gCAgKCmrUc1gFBgZ67LnINR5j72vJx1gUYZtmJ5MBvsrYAgICWnzA52s8xt7ni2Msl3vv/607U+4AQOadlyeielGppD5Q4eHSOzoRERERkR8wGIC8PKlTBFuVElFDsfKJyF/IZEBUlDQNr6QEMJl8PSIiImqG0tPTIZfL0b17d5f7q6ursW3bNvTq1auJR0ZEzY1GA5w/z+4QRNR4DJ+I/E14uFQJVVQE6PW+Hg0REfmxu+++G2lpaUhOTgYA/Pzzz1i7di1mzpyJ9u3bY8+ePVi+fDluuOEGxMbGoqioCKtWrUJxcTHee+89H4+eiPyVdZpdWRmrnYjIMxg+EfmjwEAgNlYKoKqq2AeKiKiFycjIwHfffYfCwkK0a9cOY8aMwZAhQ+r9PAkJCfjmm29QUFAAi8WC+Ph4PP3005gxYwYAaTU8o9GId999F2VlZQgMDERKSgoWLFiA3r17e/rbIqIWwGCQ1sKpruYpKBF5DsMnIn+lUAAdO/KyExFRC/N///d/eOONN3DjjTeia9euyM7Oxr333ot//vOfuOuuu+r1XPPnz69z/5VXXokVK1Y0ZrhE1Ipwmh0ReQvDJyJ/JghAu3ZSH6jiYvaBIiJqRjQaDUJCQpy2r169Gm+//TaGDx9u2/bOO+/gk08+qXf4RETkCZxmR0TexmW1iJqD0FBpGl5AgBRIERGR3xs5ciTWrVvn1n0FQXB7qWIiIk8yGrmaHRF5HyufiJoLtVoKoIqLgcpKTsInIvJzL7zwAt588018+eWXeOaZZ9C/f38AwIwZM/DPf/4To0aNQlRUFE6dOoUtW7bg0Ucf9fGIiai14TQ7ImoqHqt8KiwsxMGDB5Gfn++ppySimuRyoEMHoG1b6XMiIvJbI0eORHp6Oq6//nrMmjULjz76KAoKCjBt2jR88MEHkMlkyMzMRHBwMJYsWYLZs2f7eshE1IqUlgKFhQyeiKhpNLryqaioCP/85z+xe/duAFLZeJ8+ffDvf/8bcXFxjR4gEbkQGXmpDxTPGIiI/JZKpcIDDzyASZMm4c0338To0aNx1113Yfbs2bj66qt9PTwiaoVEUTqFrKjgNDsiajqNrnx6/vnnERkZiS1btuDgwYNYv3499Ho9nn76aU+Mj4hqExwMxMQAQUHsA0VE5Oeio6Px9ttvY8WKFdi2bRtGjRqF77//3tfDIqJWxmQC8vOB8nIGT0TUtNwOn5YuXQqj0ei0/fDhw7j33nsRFxcHlUqFbt264dZbb8WRI0c8OlAickGlkgKosDBAxvUDiIj8TV5eHtauXYvVq1fjzz//RL9+/fD111/jwQcfxOuvv46pU6fi8OHDvh4mEbUCer3UWFyjYetQImp6bv+1+sMPP2DMmDHYsmWLw/YePXpg2bJlyM/Ph8lkwrFjx/DNN9+ge/fuHh8sEbkgkwHR0UC7duwDRUTkR3755ReMHj0aS5cuxbfffotp06bhjTfegCAImDx5MjZv3oyUlBRMmzYNTz31FEpKSnw9ZCJqoaqrpYonnc7XIyGi1srt8Gn9+vW4++678eyzz+If//gHjh8/DgBYsGABCgsLMWzYMPTq1Qs33XQTZDIZXn31Va8NmohciIiQqqDUal+PhIiIAPz73//GjTfeiC1btmD9+vV4/fXX8cknn6CwsBAAEBISgnnz5uHbb79FSUkJRo4c6eMRE1FLVFkJFBSwTSgR+ZbbDccFQcDUqVMxduxYvP/++5g0aRJuvfVWPPzww/jiiy+Qn5+P4uJitG3bFrGxsd4cMxHVJjAQiI0FioqAqirWVBMR+VBBQQFmzJhh+7pfv34QRRGFhYWIjo62bU9ISMDSpUuxfft2XwyTiFqwCxekG/s7EZGv1btJTGhoKJ555hmsX78eZ86cwciRI7FmzRpER0ejd+/eDJ6IfE2hADp2BNq0YR8oIiIf6t+/P9asWYO9e/fi+PHjePfddxEeHo6rrrrK5f2HDh3axCMkopbKuqIdgyci8hcN/su0S5cuWLFiBV599VV89tlnGD9+PHbs2OHJsRFRQwmC1AMqOloKo4iIqMm99NJLaN++PaZPn47x48fj0KFDeO+99xAYGOjroRFRC2axAIWFQFkZgyci8h9u/1VaVVWFN998E1u3boVOp0Pv3r3x1FNPYcSIEfjb3/6GVatW4aGHHsLAgQPx9NNP44orrvDmuInIHaGh0op4hYXSEiechkdE1GSio6PxySefQK/XQ6/XIywszNdDIqIWzmSSTvuqq3naR0T+xe3KpwULFmDr1q147LHH8Prrr0Ov1+Oee+6BwWCAUqnEPffcg82bNyM8PBzjx4/Hm2++6c1xE5G71GqpD1RoqFQRRURETUqtVjN4IiKv0+uBvDy2/SQi/+R2+LR9+3bce++9mDhxIkaMGIGXX34ZeXl5OHHihO0+UVFReOONN2z9DYjIT8jlQIcOQNu20udERERE1GJotUB+PqDT+XokRESuuT3tLiQkBOfOnbN9nZubC0EQEBoa6nTf3r1746uvvvLMCInIcyIjpWl4589zvV0iIiKiFkCjkRY6Npl8PRIiotq5HT7Nnj0bCxYswNGjRxEWFob//e9/uOGGG9CpUydvjo+IPC0kRAqgioqky2SsyyYiIiJqlkpLpRXtzGZfj4SIqG5uh09Tp05Fly5dsH37duh0OixYsADjxo3z5tiIyFtUKiAmRlqDt7KSS6EQERERNSOiCJSUcEU7Imo+6rUGe2pqKlJTU701FiJqSjIZEB0tNSQvKeElMyIiIqJmwGKRCtgrK1nATkTNR73CJyJqgSIipEqo4mJpmRQiIvKaEydOICcnB+Xl5S7333zzzU07ICJqVkwmoLAQqK5m8EREzQvDJyICgoKkaXhFRVwmhYjIC86ePYsnnngCBw8ehFjLX4yCIDB8IqJaGQxAQQFP1YioeWL4REQSpVIKoCwWyJVKX4+GiKhFee6553Ds2DE8/fTTSE1NRVhYmK+HRETNiFYrVTxxsWIiaq4YPhHRJYIAsW1bICpKCqOIiMgj9u3bh3vvvRczZszw9VCIqJnRaKTidJPJ1yMhImo4ma8HQET+R6dSAR07AgEBvh4KEVGL0KZNG4SGhvp6GETUzJSVSRVPDJ6IqLlj+ERETiwWC0S1GoiNBUJDAUHw9ZCIiJq1qVOnYuPGjTBzZVEictP589KNvzaIqCVo8LS7//3vf/j666+Rk5ODiooKp+aZgiBgy5YtjR4gEfmQXA506ACUlgIXLkhr+xIRUb3Fx8fDYrFgwoQJmDRpEjp06AC5XO50v5EjR/pgdETkTywWaZpdZSVXtCOilqNB4dPy5cvx9ttvo23btujduzeSk5M9PS4i8heCAERGAioVUFwMGI2+HhERUbPz6KOP2j5/4403XN5HEARkZWU11ZCIyA+ZTFLwVFXF4ImIWpYGhU+ffvopBg0ahKVLl0LJpsRErUNIiNSEvKhIWuOXZ0RERG779NNPfT0EIvJzBoPU30mr9fVIiIg8r0HhU0VFBW688UYGT0StjbUPVFGRtPQKp+EREbll4MCBvh4CtRBGkxk6gxkBKjmUCuepm9Q86XRS8KTX+3okRETe0aDwqVevXjh16pSnx0JEzYFM5tgHil0wiYiIvO5kbjl+2ZuDPVmFMJktUMhlSO0WjeGpnZAQE+7r4VEjaDTSdT2uaEdELVmDwqcXXngBs2fPRs+ePTF+/HhPjwkAUFVVhdGjR6OwsBBff/01evXqZdu3bt06LF++HHl5eUhISMCjjz6KYcOGeWUcRFSLNm2kSqiiIqlOnIiIbGbMmAGZTIYVK1ZAoVBg5syZl32MIAhYvXp1E4yOmpsdB/KwOj0TWr0JaqUMCrkMRpMZ2/adw64jBbhjbHdc0zvG18OkBigrA0pKeC2PiFq+BoVPjzzyCEwmE5588km88MIL6NChA2QymcN9BEHAxo0bGzywJUuWuFyOeNOmTXj22Wdx3333YdCgQUhPT8ecOXPw+eefo2/fvg1+PSJqgKCgS9PwqqvZB4qIyI7FbmpyzVWBXXHnPtT6nMwtx+r0TBiMZrQNU0MQBNu+EFFEmcaA1ZsyEdMumBVQzUxJiVRIzi4GRNQaNCh8ioiIQEREBK688kpPjwcAkJ2djS+++ALz5s3D888/77Dv/fffx9ixY/HII48AAAYNGoRjx47hgw8+wLJly7wyHiKqg1IJxMRIK+FVVPAMiogIwJo1a+r8mshdv+zNgVZvcgqeAOlib0SICiUVevyy9xzDp2ZCFKXrdhUVvG5HRK1Hg8Inb59Avfzyy5g6dSoSEhIctufk5OD06dN44oknHLaPGTMGb775JgwGA1QqlVfHRkQuCAIQFSVNwyspYdMCIiIAv//+O/r27YugoCBfD4WaKaPJjD1ZhVArZU7Bk5UgCFArZdidWYAZo7uyCbmfM5ulxuJVVQyeiKh1aVD45E2bN2/GsWPHsGjRIhw5csRh38mTJwHAKZRKTEyE0WhETk4OEhMTG/S6oiiiurq6YYO+SHtxXVQt10f1Gh5j72vUMVYqIbRpA6GoCKJez7OqWuh0OoeP5Hk8xt7n02OsUABarVemqYmiWOsf+fV11113QaFQICkpCf3797fd2rdv75Hnp5ZPZzDbmovXRSGXwWS2QGcwM3zyYwaDFDzxNJaIWiO3wqfdu3cDAAYMGODw9eVY7+8urVaL119/HY8++ihCQkKc9peXlwMAwsLCHLZbv7bubwij0YisrKwGP97e6dOnPfI8VDseY+9r6DEWBAFKQYCyrAyWigpY2EGzVrm5ub4eQovHY+x9vjjGioAAGMxmGI1Grzy/p6qoX375Zezfvx979+7FmjVrsGbNGgiCgLi4OFsQ1a9fvwZfOKOWL0AltzUXr4vJbIFSIUeAisGTv9LppOBJr/f1SIiIfMOt8GnGjBkQBAEHDhyASqWyfV0b61XD+oY5H374Idq2bYtJkybV63GeoFQq0aVLl0Y9h1arxenTpxEfH4/AwEAPjYzs8Rh7n6eOsQAAFy5Iy7gwgHKg0+mQm5uL2NhYBAQE+Ho4LRKPsff59BgrFEDnzl6pfDpx4oTHnuvWW2/FrbfeCgC4cOEC9u/fjz179mD//v3YtGkT/vOf/0g9eyIikJKSgtTUVNx1110ee31q/pQKOVK7RWPbvnMIqaUqTxRF6I0WXN07llVPfkqjkXo8sSsBEbVmboVPn376KYBLVwKtX3tSbm4uVq5ciQ8++ACVlZUAYJsGV11djaqqKoSHS00UKysrHUrWKyoqAMC2vyEEQfBYT4bAwED2d/AyHmPv88gxDgoCIiJ4xlWLgIAAhqhexmPsfT45xnI54KXX9NSUu5oiIyMxYsQIjBgxAgBgMBhw8OBB7Nu3D1u3bsXWrVvxyy+/MHwiJ8P6d8KuIwUo0xgQEaJy+BkVL652F6hWYFj/OB+OkmpTXg6cP8/rcEREboVPAwcOrPNrTzh37hyMRiPuuecep30zZ85Enz598PbbbwOQej917tzZtv/kyZNQKpXo1KmTx8dFRI0UEiKtiFdUJNWcsw8UEbVyZ8+exb59+7B3717s27cPJ0+ehEwmw1VXXeXroZEf6hwbjjvGdsfqTZkoqdBDrZTZejzpjRYEqhW4Y2x3rnTnhy5ckG5cCJiIqB4Nx2+77TakpqaiX79+6NevX6OqjFzp1q2bU0VVVlYWXnvtNSxYsAC9evVCp06dEB8fj82bN+P666+33S89PR2DBw/mSndE/kqtBmJigOJiqfacZ2FE1EqYzWYcOXIE+/bts91KSkoQHByMPn36YPTo0UhJSUGfPn1c9rskAoBrescgpl0wftl7DrszC2w9nq7uHYth/eMYPPkZUZSuuVVW8pSHiMjK7fApPz8fy5YtgyAIEAQBnTt3Rr9+/WwNM+PiGlfqGxYWhrS0NJf7evTogR49egAAHnroITz++OO44oorkJaWhvT0dBw8eBCfffZZo16fiLxMLgc6dJAuAZaWsv6ciFq8GTNm4PDhw9DpdIiLi0NKSgoefPBB9OvXD0lJSV6b4kctU0JMOBJiwjFjdFfoDGYEqOTs8eSH9HrpWptWy2JvIiJ7bodP27ZtQ0FBAfbu3Yu9e/di//79+Oabb7B27VoIgoCoqCiHMKpr165eOakaN24ctFotli1bhqVLlyIhIQGLFy9GSkqKx1+LiLwgMlKqhCoultYcJiJqoXbv3g2FQoFx48Zh5MiRSElJQbt27Xw9LGrmlAqGTv5IoVCitFSATsfra0RErrgdPgFAhw4dMHbsWIwdOxYAUFVVhf3799vKyLdt24bNmzcDAEJCQrB79+5GDS4tLQ1//fWX0/bJkydj8uTJjXpuIvKh4OBLfaB4aZCIWqjFixfbLtg99thjMJlMtgqofv36ISUlBcnJyb4eJhE1ksEg4Px5FWQy6foaERE5q1f4VFNwcDCGDBmCIUOGoKioCLt27cLnn3+OP//8ExqNxlNjJKKWSKWS+kCdPw9UVLApAhG1ONdff72tR6X96nb79u3Du+++i/LycoSGhqJ37962npqDBw/28aiJyF0WC1BWBuTnA+XlJrCwkYiodg0On44dO2ZbpWXfvn3Iy8uDSqVCt27dcOedd6J///6eHCcRtUQyGRAVJV0m5DrERNSCqVQqpKamIjU11bYtOzsb+/btwzfffIPFixdDEARkZmb6cJTkT4wmM3s7+TGtVjp10ekAk8nXoyEi8n9uh08ZGRm2ZYEPHDiAiooKtGvXDikpKbj99tuRkpKCHj16cMU5Iqq/8HCpEqqoSOrUSUTUQtmvfme9iFdSUgIAkMsZMBBwMrccv+zNwZ6sQpjMFijkMqR2i8bw1E5c1c4PmM3S2ikVFbxmRkRUH26HTzNnzoRCocCoUaMwf/58pKSkoFOnTt4cGxG1JoGBQGysFEBVVbEPFBG1CBqNxtYfc+/evTh06BB0Oh1EUURwcDD69u1rW7Clb9++vh4u+diOA3lYnZ4Jrd4EtVIGhVwGo8mMbfvOYdeRAtwxtjuu6R3j62G2SmYzUFkJlJdL66XwNIWIqH7cDp+SkpJw4sQJbNq0CceOHUNKSgr69+/PEIqIPEehADp2BEpKpCYK7ANFRM3YzTffjOPHj8NisUAURURFRWHo0KEOKwPLZDJfD5P8xMnccqxOz4TBaEbbMLXDqtEhoogyjQGrN2Uipl0wK6CakNEoVTlVVEjT6xg6ERE1jNvh08aNG6HRaPDnn3/a+jxt3LgROp0Obdu2dVi5pUePHlAqld4cNxG1VIIAtGsn9YEqLmYjBSJqtgwGAyZNmmSrbOLFOqrLL3tzoNWbnIInABAEAW1CVNAaLdh5sAihqnCYzdI1GusNAORy6SaTXfrcYBAgioEwGAQolZf2U910OqnKSaORji9DJyKixqlXw/GQkBDb6naA1LcgKysL+/btw/79+/HJJ5/gzTffhEqlQs+ePfH55597ZdBE1AqEhkp9oAoLpT5QPOsjomYmPT291n16vR4//PADhgwZgnZcIqvVM5rM2JNVCLVS5hw8AQhUK6BSKoFSAdt2lqH3FWa3mpALghSi5OUBAQHSDHfAMZyyv1m3y2RSMbL9162BKEoz/8vLpYbiLMAmIvKcBq92B0iNMXv27ImePXsiLS0Ne/bswXfffWerjiIiahS1WuoDVVwsNVpgAEVELURlZSWeeuoprFy5kuETQWcw25qL25PLBYQFBkCvVaKkVMT5Mj1MZhF6o3vhkyhKAYrJZIHZfKlBttksTSeryZp7ufqoULgXUlnv05yYTNJpRkWFdFwYOhEReV6DwieDwYADBw5g7969ttXvKisrAVxaSrh///4eHSgRtVJyOdChg1QFVVrKpWWIqMUQGajTRQEqua25uJVcLiA0MADlpUqUlZtgtogwmqSASq30Trpj/ZF09aPpahZ8XWHV5SqraoZXNQq+moReLwVOlZXS6QX/SxIReY/b4dOWLVtsSwJnZmbCZDJBFEVERETYGmf2798fPXv2ZL8nIvK8yMhLfaAMBl+Phoio0WpOr6LWS6mQI7VbNLbtO4cQUYRcJiBYrUJFqQIXyowQRUCECIPJgpTkaLeqnppCY8Mq+8/l8kvVVa4qqWp+3dD/PmYzUF0t9XKqruY1LSKipuJ2+DRnzhwAQFxcHMaMGWMLmxITE702OCIiB8HBgFIJFBVJzRh4iZKI/NjMmTNx//33Y/DgwS73s/KJ7A3r3wm/HchF4YVqhAUFojDfguLScgSo5AgKUEJnMEOtUiCtRwdfD7XB6gqrzGbna0uuQir7sKq2yqqaAZYoSqcN1dXSjQ3EiYiantvh07vvvov+/fsjKirKm+MhIqqbSgXExFzqA8XGDETkpzIyMjB58mSX+9q1a4ejR4828YjIn+WfrwJEIDggAJXlSpwv0cIiCtBUG6GpNiIkWIWJQxPRKTrU10NtMvYBUc2wqLaKpdqmAjJwIiLyLbfXrhg9enStwdOFCxcwYsQI7N+/32MDIyKqlUwGREcD7do1v66mRERENZzMLcdnm7MQGRaEYHk4tFoRoiCtfCeTCVAq5ZDLZIhqE+Trofo9UbzUaN1iga3ROoMnIiLfatRqd1YWiwW5ubnQ6XSeeDoiIvdEREh9oIqKpK6hREREzdC2fTlQK5WQmYJRqTEiPFiNsGA1LKIImSAAEFGmMWDXkYJWVflEREQth0fCJyIinwkMBGJjpQCqqoqXNonIr/z3v//FmTNn3LqvIAh48MEHvTwi8jdGkxknzlbAWB2ACq3RNptcACC3NT0SoFLIcOhEMSb8rbPfNBwnIiJyl9vh0+7du5GYmIjIyEhvjoeIqP4UCqBjR+D8eaC8nH2giMhv/PTTT/jpp5/cui/Dp9ZJU21GRZkSpeVGqOoIleQyGcwWEXqjmeETERE1O26HTzNnzsSbb76J8ePHO+0LCgrCnDlz0KlTJ48OjojIbYIAtG8PBARIzchdrfFMRNTEFixYgJEjR/p6GOSnDAbgwnk5SsuNMJosdYZPZosFCrkMaiWDJyIian7cDp/qWg7YGj4REflcaKi0Il5hIcA+dETkY0FBQWjTpo2vh9Es6fXSdQVBkNaZkMkurVzW3BkMQHW1VKxrNsnRPaEdMjILEAQRApy/SREiDCYLUpKjWfVERETNEns+EVHLo1Zf6gOl0bAPFBFRM1RYKIU09oFTzTDKGkhZP9rvA9zbb38fbxFFKUyrrpZuer00Q9z69jSoZ0ccOHEeFVVGhAUrHQIoESIqqoxQqxRI69HBe4MkIiLyonqFT0JLudxERC2fXA506ACUlko3s9nXIyIionpqTAs/V6etNbfVFWzVDK3cudlXZxmNUnhmvYnipVtNnaJDMXFoIjZsz0aZxgCVQnaxx5MFBpMFapUCE4cmcqU7IiJyi8UitcPNzwfy8qQJITNnSm1yfaVe4dMTTzyBJ554wq37CoKAzMzMBg2KiMgjBAGIjJSm4RUXS38JEBE1kTlz5iA5OdnXw2jRjCYz9EYz1Eq503Q0VyGPNwph67o2W5/X6981GlFtgrDrSAEOnSiG2SJCIZchJTkaaT06MHgiIiIbjeZSsFRQIH3Mz790Kyhw/tPnk0+ArCyfDBdAPcOnq6++GvHx8V4aChGRl4SESAFUURGg1XIaHhE1idmzZ+OVV17BVVddhRkzZtR6v08//RTZ2dmYP38+lEplE46w+coprMTOw/k4nH0eZosIuUxAz8R2GNSzY5OHNJ58S+kUHYpO0aGY8LfOtYZqRETUsplM0nVza6BkHyxZP6+oqP/zFhZKFVHenGZel3qFTzfffLPL1e6IiPyeSgXExEi/ySsrGzeXg4jIDV999RU2bNiA9PT0Ou933XXX4a233kJycjKmTZvWRKNrvvYeLcSG7dnQG0y26WkmswUZmQU4cOI8Jg5NRP+u0b4eZqMoFQydiIhaIlGUgqMzZ2oPlqwhkSeEh0tT7Tp1Ap5+2nfBE8CG40TUmshkQHS01JC8pIR9oIjIq3744QeMHDkSnTp1qvN+V1xxBUaNGoVNmzYxfLqMnMJKbNieDaPRjIgQlV1jbjmCLjbm3rA9G1FtgjhNjYiImpzBIIVHNYOl/HwgN1eNvLxu0Go9c3FBqZRa3HbseOkWEyNti42VPoaESPeVy4HERI+8bIMxfCKi1ici4lIfKL3e16Mhohbq2LFjbleMp6Sk4JdffvHyiJq/nYfzoTeYagRPEgECwoKVKNMYsOtIAcMnIiLyKFGU1jGq2WfJ/uP583VNx65f2VGbNlKY5CpY6tgRaNfOt5VM9cXwiYhap6Ag6Td4UZG07jX7QBGRhxmNRrd7OCmVShgMBi+PqHkzmsw4nH0eKoXMKXiyEiBApZDh0IliTPhbZ05dIyIit+l0UqhUM1Cy/+ip69ZqtWPFkjVcsoZNHToAgYGeeS1/4Xb4dPToUW+Og4io6SmV0m/48+eB8nL2gSIij4qKisLx48fduu/x48cRFRXl5RE1b3qj+WJz8bov88plMpgtIvRGM8MnIiICIJ3mnz/veoU469clJZ57vfbtnauW2rbVw2TKQWpqLGJiAutcLbUlYuUTEbVugiC9O6jV0juSyeTrERFRC3H11Vfj22+/xb333ou2bdvWer+SkhJ8++23uPHGG5twdM2PWimHXCbAZLYAqD1UMlssUMhlUCsZPBERtRZVVbUHS/n50jaj0TOvZZ1A0aHDpYDJPmjq0EHq8FGTVmtBdrYOkZFodcETwPCJiEgSFia9SxQVSTW3RESNNHv2bGzcuBF33HEHXnnlFfTp08fpPgcOHMD8+fOh1+sxa9YsH4yy+VAq5OiZ2A4ZmQUIguhy6p0IEQaTBSnJ0ax6IiJqIcxmqVVrbVPh8vOlSQyeYF2fyNpbKSrKgvZRFnSKExAXJ0dMjPRnQ2sMjxqL4RMRkVVAgHTZorgY0GjYB4qIGqVTp05YuHAhHnvsMUydOhWdOnVCUlISgoODUVVVhePHj+Ps2bMICAjAO++8gyuuuMLXQ/Z7g3p2xIET51FRZURYsNIhgBIvrnanVimQ1qODD0dJRETuEkWgsrL2iqX8fGn1OE8tUh0a6thbqWbPpagoQKGQVlfdeTgfh7PP46RexJlTAnrK2iEksiPCw7mgRUMwfCIisqdQSJc6SkuBCxfYB4qIGuW6667Dxo0bsWzZMmzbtg1btmyx7YuKisLkyZMxe/ZsdOrUyYejbD46RYdi4tBEbNiejTKNASqF7GKPJwsMJgvUKgUmDk3kSndERH7CYJDCI1dT4qzbqqo881rW03j7KXHWj9awKSTk8s+z92ghNmzPht5gsr3PmMwWZGQW4MCJ85g4NBH9u0Z7ZtBNxGQ2Q6M1Q62U+6wymOETEVFNggBERkrT8IqLPTdBnIhapbi4OCxYsAAAoNFoUFVVheDgYIS4cwZMTvp3jUZUmyDsOlKAQyeKYbaIUMhlSEmORlqPDgyeiIiaiCgCZWW1T4XLy5NOpT01maBNG+cm3vZ9l9q1A+SNzFVyCiuxYXs2jEYzIkJUdhW2cgRdrLDdsD0bUW2CmsX7jbWCK7e4HMERWmi0RqR2i8bw1E5IiAlv0rEwfCIiqk1IiLQinrUPFKfhEVEjhYSEMHTygE7RoegUHYoJf+sMvdG3V3KJiFoqvd4xSLJ+bv+1p1qlqlTOwZJ9wNSxIxAY6JnXqsvOw/nQG0w1gieJAAFhwUqUaQzYdaTA78Mn+wqu6MgAyGUCjCYztu07h11HCnDH2O64pndMk42H4RMRUV3UaqnbYFGR1AeK0/CIiPyGUsHQiYioISwWoKTkUpB09qwCR492gE6nsk2TKynx3Ou1b+9YpWQfLMXGwi9WgDOazDicfR4qhczlohaAFECpFDIcOlGMCX/r7LfvQTUruILUCgSoTAgNUiFEFFGmMWD1pkzEtAtusgoohk9ERJcjkzn2gfJUx0MiIiIiIi+ornaeDlez35JjZwklgHYNeq2gIMfeSvb9lmJjpY8qlSe+K+/SG80wW0TIZbI67yf1GhShN5r9Nnyqs4JLEBARokJJhR6/7D3H8ImIyO+0aSNVQhUVSd0TiYiIiIiamNks9VJy1WfJeisr88xryWTSCnD2U+Gsn1u/DgvzfdWSJ6iVcshlAkxmC4DaQyWzxQKFXAa10j+DJ7cquAQBaqUMuzMLMGN01yYJ0Rg+ERHVR1DQpWl41dXsA0VEREREHlVZWXewVFDguUL80FApQIqONiMoqAxJSWG48kqlLWSKipJaoLYGSoUcPRPbISOzAEEQXQY3IkQYTBakJEf7bdWTuxVcCrm0ip/O0DQVXAyfiIjqS6mULvUUFwMVFewDRURERERuMRph66nkaipcXp7UZtQTFAogOtpxCpw1VLLeQi/2zNZqDcjOzkdiYhACA1tJ2uTCoJ4dceDEeVRUGREWrHQIoMSLq92pVQqk9ejgw1HWzd0KLpPZAqVCjgBV04RoDJ+IiBpCEKRLQQEBwPnzgMnk6xERERERkQ+JojTdrbaKpbw8qXjeU4XzERG1B0sxMUC7doDcP4tz/Fan6FBMHJqIDduzUaYxQKWQXezxZIHBZIFapcDEoYl+vdKdWxVcogi90YKre8c2WQUXwyciosYIC5M6KBYVeW6tWSIiIiLyO3q9Y6WSq4BJq/XMa6lUjk28awZLHTsCgYGeeS1y1L9rNKLaBGHXkQIcOlEMs0WEQi5DSnI00np08OvgyapmBZc98eJqd4FqBYb1j2uyMTF8IiJqrIAA6SygqAioqmIfKCIiIqJmxmKRFjWurWIpP18qdveUdu1qD5U6dgQiI6Vm3+QbnaJD0Sk6FBP+1hl6oxlqpdxvezy5UrOCS62SIcBgRmW1AXqjBYFqBe4Y273JVroDGD4REXmGQiGdKVy4AJSWsg8UERERkR+prnYOlWpWL3lqMePAQMcwyX5anHWanErlmdeixqltlT7rdrVKDnUdPZFE0b2V/kRRChPlcuH/27vz8CjLe//jn9lnsidkIwFNAI0oW7SKtKIgLnVpaW1dL8Hjwe0oUrW2Yn/Fox5q1dpjAXFjsdauWuUca1NtC9aeUxUq7kArhIOyZWEJScg2mZnfH4+TzGRhSeaZZ2byfl1XrmQmz8x8vR0y93zmvr9P3M4MGLmCa0ddgwLBkFxOh744oVTTTxkR1+BJInwCgNix2aRhwySPx1gFRR8oAAAA0wUCxqqkyO1wPbfHNTTE5rHCbT/DIVLktrjwdTk5RxZIIDbCY22zRf9shD3G9/Dl8DF2e9/X97yvntdLxmfMoVD0Z809jwtvhIj83tIiHTxoV2FhdPjY89jDCYW6vyIv9zxGkk5Iz1RFeab8nQEVFFm7govwCQBiLSPDOCNeuA8U2/AAAAAGrLlZ+uwzj3btsmvv3t4rl2prY/eZX2Zm/1vhiouNL9fQPRlcXEUGQZHf7XZj00Hkl8tlfA+HTYnYaN1uD8nlalFWVkhpafF+dIcOdea7eCB8AgAzeDzGbKW+3pgxsQ0PAACgF7/fCI/6WrEU/mpq8kk6btCP5XB0B0g9G3mHf85M/F7SKaHnqqJwcBQZIEWuXAp/dzrphZWsCJ8AwCzhGU64D1QgYHVFAAAAcRMKSQcORPdWigyWdu0yForHapF4Tk7fK5bClwsKEnNFTCqLDJgcDuPzWZer+8vtNgIlpD7+NwOA2fLyjFfa+vrYdbIEAACwWEdH795KPRt6t7TE5rGczqCGD5dKS+1R/ZYiA6b4b2VCWGTIZLcboZLb3R0wETKB//0AEA/p6dF9oAAgBl566SXdfffdva6//vrrdeedd3ZdfuGFF7R8+XLt2rVL5eXluv322zV9+vR4lgogyYRC0t69/W+F273b+FwtVvLzo3srhc8ON3y4lJvbqv37q3XccaPl8/li96A4aj23yoUDpsif6YmFvhA+AUC8uN3GR3TBoOy8KgOIoeXLlyszolFJUVFR18+///3vtWDBAt100006/fTTVVVVpblz5+oXv/iFJk2aZEG1ABJBS4sRIPUMliJ/jtWCbZ8vevtbX6uWPJ7+b9/aamzfQ/xEhkyRq5fCP7tc9F7C0SF8AoB4stsVys+XraCAtccAYuakk05SXl5en79bvHixLrroIt12222SpNNPP12ffPKJli5dqmXLlsWxSgDxEghIe/b0Xq0UuT2uoSE2j2WzSYWF/QdLJSVGL6bIU9UjcUT3Y3LK67UpK8sIA8Nf9MlCLCTUO5833nhDy5Yt05YtW9Tc3KyioiKdc845mjt3btenefPnz9eqVat63XbZsmU688wz410yAAxIm8djzMiamqT2dqvLAZCitm/frm3btuk73/lO1PUXXnihHn74YXV0dMjtdltUHYCBam7uv8/Srl3G2eM6O2PzWOnp3VvgwsFS5La4oiK2WSWLyNVM4WApvGWus1Pq7OzQyJFBemfBFAkVPjU0NGjChAmaNWuWcnJytHnzZi1ZskSbN2/WypUru44bOXKkHnnkkajbjh49Ot7lAsCABYNBhbxeKSvL6AN18GDsTvUCYMi5+OKLtX//fpWUlOiyyy7TddddJ4fDoa1bt0qSysvLo44fPXq0/H6/tm/fPuA5VCgUUssgOwm3trZGfY/U1mZXayt/Fwer7fM+g230GzRNrMfY75fq622qrbVp926bamq6v4d/bm6OzTIihyOkwsKQhg8PqbjY+CoqMi6Hr4vY0dsnI7SISTn94nl8dCJDJiNosn2+bS4kt9sInWy26L+vgUCrAgF/n3+PERuHes1LZqFQSLYjWNqYUOHTzJkzoy5PnjxZbrdbCxYsUG1tbVf/Aq/XS48CAKnB6TQ+Nty711j/HgxaXRGAJFJQUKBbb71VEydOlM1m05o1a/STn/xEtbW1uueee3Tg8yYpWVlZUbcLXz4wiCYqfr9fmzZtGnjxEbZt2xZ12el0qrbWo+Zmk9/RDiE7d+60uoSUdyRjHApJzc0O7d3rUn29S3v2GF/dP7u1f79TwWBswqWMjE4VFPiVn+/XsGH+rp/z8ztUUOBXTk7nIbdU1dUZX4mC53FvdrtNDoddDoctoh9TSC5XSA5HUA5HUJ2dITU1BRUKhRQ6zIedPf8eI/ZScYyPZBV1QoVPfcnJyZFkTHAAICXZbMYpXjwe47QxZn98CCBlTJ06VVOnTu26fMYZZ8jj8ejZZ5/VTTfdZOpju1wujRkzZlD30draqm3btqmsrKzXGax8PlY+xUJbW5t27typ0tJSeb1eq8tJSZFjbLd7VVsbvVop/D28kqm1NTbBksvV90qlyK/u7VOuz7+OTmcgqA5/UG6XXU6Hdd2leR53s9mMRt8Oh+Tz2eT1huTxGKFTz9VMR+NQf48RG6k6xlu2bDmi4xIyfAoEAurs7NSWLVu0dOlSnX322RoxYkTX7z/99FOdcsopam9v1/HHH6+bb75Z55xzzqAe0+yl44gNxth8jLH5+h1jh0O2vDzZ6uoUamtjG94gsDzffJaOsdMptbYe9tPbgTjSpeOJ7IILLtDKlSu1adMmZWdnS5KamppUUFDQdUxjY6Mkdf1+IGw2m9Ji1BjE5/P1uq8h/v4y5rxeb0q92bFCKCTt22f0VIo8Q9z27W59+qlH+/f7tGdP7P5+DBsW3by7ZxPvYcNsstvN+Xu1vbZJb3+8Wx9X71EgGJLDbtO40fk6fdxwjSw6zD48Ew2153Hk1rnw2eY8HuPvo7F1LvaP2dffY8RWqo3xkc6bEjJ8mj59umprayUZn+j9+Mc/7vrd2LFjNX78eI0ZM0ZNTU361a9+pVtuuUWLFi3Sl7/85QE/pplLxxF7jLH5GGPz9TfGbodDroYGBRsbFWQV1KCwPN98Voyx0+tVRyBg2qroVGrAPWrUKEnS1q1bu34OX3a5XBo5cqRVpQEJp62t77PCRTbz7vscIQ5JR/dG0uuNbtodbuYd2djbqgB2/T9qteqNarV3dMrttMtht6szENS6jTX6YMseff2s0TrlhCJrikthkUGTy9UdMIVXNdmtW3gGxERChk9PP/20WltbtWXLFj3xxBO66aab9Mwzz8jhcOiaa66JOvbss8/WFVdcocWLFw8qfDJ76ThigzE2H2NsviMdY1tDg7R/P9vwBoDl+eazdIydTmnUKFNWPh3p0vFEVlVVJYfDoRNPPFEFBQUqKyvTq6++GrVKvKqqSlOmTEmpoA04lGDQ2NneV6AUvm7//tg8ls0mFRREr1QKr1YKX5eTY86qlcHaXtukVW9Uy+8PKCfDLZvCRTqUppAaD/q16o1qFeamWboCKtn1taLJ5eoOm5wJ+S4dGJyEfFqfcMIJkqTKykqNHz9eM2fO1J/+9Kc+wyW73a7zzjtPP/rRj9TW1jbgCbDZS8cRW4yx+Rhj8x12jNPSpOxsY7bc0RG/wlLIUFuebwVLxthodGHKXSfblrs5c+Zo8uTJqqiokCStXr1azz//vGbPnt21ze7WW2/VnXfeqWOOOUaTJ09WVVWVPvzwQ/385z+3snQgppqbDx0s1dYaZ5GLhbS06BVL+fl+2e21mjixQGVlHhUVGWFCMnr7491q7+jsETwZbLIpK92lhuYOrd1QQ/h0hMIhk93eHS6FVzMZfZqsrhCIj4QMnyJVVFTI5XLps88+s7oUAIi/9HTjo7C6Oqm1lT5QAKKUl5frxRdfVE1NjYLBoMrKyvS9731Ps2bN6jrm4osvVmtrq5YtW6ann35a5eXleuyxx1RZWWlh5cCR6+w0XgZ7bomL/PnzNmaD5nBIRUXRK5Z69lvKyooODFpbO1Vd3aDRo4eZlYvHhb8zoI+r98jttPcKnsJsssnttOujLfWaeeYouZyHOFXeEBS5oikyaOpuCG51hYB1Ej58+uCDD+T3+6MajkcKBoN69dVXddxxx7G1AkBqcruNWW99vdTUZOwdAABJ3//+94/ouEsvvVSXXnqpydUARy8UMoKjvlYthS/X1sbupS87u7uJd2Qj7/B1BQVDd8tTuz/weXPxQzcXctjtCgRDavcHCJ9krGiy2YweTT6f8eXx0KMJ6Cmh/rTOnTtX48aNU0VFhbxer/7xj39oxYoVqqio0DnnnKOdO3dq/vz5uuiii3TsscfqwIED+tWvfqWPP/5YS5Yssbp8ADCP3W58FOvxSHv3SoGA1RUBAHBYHR1GeBTZwDvyTHG7dkmDPOF0F5fLeKmMDJYiVy4VF0sZGbF5rFTkcTnksNvUGQjKaKLet0AwKKfDLo9raAZP4bDJ7Y4OnBxDcziAI5ZQ4dOECRNUVVWlp59+WqFQSKWlpbr00ks1Z84cud1upaenKyMjQ0888YT27t0rl8ulcePGadmyZZo6darV5QOA+XJyjACqrq6/U+4AABAXoZDRpLuvQCn8fc+e2O0Yz8vrvQUu8nJ+PqtNBsPldGjc6Hyt21ijNIX63HoXUkgdnUFVVhQNmVVPkWGTz2cETl7v0F0hBwxUQv2TueGGG3TDDTf0+/ucnBw98cQTcawIABKQz2d0Oq2rkw4epA8UAMAUbW1991mKvByrz0E8nugVSj3PDjd8uPGGH+Y6fdxwfbBljxoP+pWV7ooKoEKfn+3O43Zq8knFFlZpnp49m8JBE2ETMHj8EwKAZOR0GjPxvXulhgb6QAEAjkowaKxK6rlSKTJc2r8/No9lsxmrksLBUvhMcZHBUm4uzZgTwciiTH39rNFa9Ua1Gpo75HbaP+/xFFRHZ1Aet1NfP2t0ypzpLryqyeXq3RycbXRAbBE+AUCyCs/mPR6jGXlnp9UVAQASxMGDRoi0bZtdH36Yq0DAqT17ugOmmhrJ74/NY6WlRTfv7rklrqjIeDOP5HDKCUUqzE3T2g01+mhLvQLBkJwOuyorijT5pOKkDZ7CK5rs9u7VTG63MY1yuayuDkh9hE8AkOwyM43ZU22tsUcCAJDSOjuNzxz62wq3e7d04ED4aI+k0gE/lt0uFRb238S7pMR4GWLVUmoZWZSpkUWZmnnmKLX7A/K4HEnX4ylyC124VxNnogOsQ/gEAKnA4+nuA9XcTB8oAEhSoZDU1NT/Vrjdu40/9bE66WlWVu8VS5GrmAoK6HUzlLmcyRE6RQZNPbfQETYBiYGXEgBIFQ6H8W5h3z6jUUes3pkAAGKmo8NYqNpXE+/wdQcPxuaxXC6pqCio7OwWlZd7NWKEs9fqpYyM2DwWEC+RQZPT2d2jKRw0EZYCiYl/mgCQavLyjFlYfX3sGnoAAA4rFDKy/54rlSK/79kTu8Wpubn9r1gqLjZWLbW3t6u6eptGjx4tn4+pP5JLZMiUkeFUdrZNWVkETUAy4p8rAKSijAwjgKqrk1pb2YYHADHQ3n7oYGn3buOYWHC7u0Oknv2Wwtf7fLF5LCBRhBuCOxzdDcHdbuPsjJ2d7SosDCotzeoqAQwE4RMApKrwO5f6eqOBSDBodUUAkLCCQWnv3t6BUk1N9+W9e2P3eAUFvVcqRTbxzs2liTdSW8+zz4VXM4UDp0gtLSF1clZfIKkRPgFAKrPbjXNcezzGuyb6QAEYog4e7DtQCl/evTt2O5XT0npvhYsMloqKer+5BlJdz7ApfPY5r5egFRgKCJ8AYCjIyenuAxWrPSEAkCA6O40/b30FS+FtcgcOxOaxwpl+eDtccbFxstHIoCkrizfTGNo4+xyAngifAGCoSEsz3hnV1UktLfSBApA0mpr677G0e7dx9rhYLezMyoreChderRTeFldURJNjoKeeZ5+L/OLfCwCJ8AkAhhaXy3gXtWePsQyAPlAAEszWrdLixdIHH0g7dxoh08GDsblvp7M7ROq5JS58OSMjNo8FpLJw2ORwGFvnwtvnPB6rKwOQqAifAGCosdmMTrcejxFC0cATQAK58kpp3bqB3TY3tztEKiwKqqAwqJEj7BpRaldJiZSfb7xZBnB0eoZNHk/3d7aYAjgShE8AMFRlZRl9oOrqpLY2q6sBAEn9r5wIn8AzcpVSeFtc+DqfT9pe26S3P96tj6v3aFcwpNpdNrX58pVfMlwOR2Z8/2OAJBTZryl85jmPp3tlE2ETgIEgfAKAoczrNd651ddLzc30gQJguV//WvrlL40+TwUF3UFTXt7h3/Su/0etVr1RrfaOTrmddjnsdnUGglq3sUYfbNmjr581WqecUBSf/xAgSYTPQOdydZ+FLhw60RgcQKwQPgHAUBdugrJvn7R/P32gAFiqpES6807ps8+OblHm9tomrXqjWn5/QDkZbtkUTqocSlNIjQf9WvVGtQpz0zSyiBVQGJoiVzWFG4KHAyeXy+rqAKQywicAgDELHTbMmIXW10t+v9UVAcBRefvj3Wrv6OwRPBlssikr3aWG5g6t3VBD+IQhoWfQFN4+F/6ZVU0A4onwCQDQLSPD+Ogz3AeKbXgAkoC/M6CPq/fI7bT3Cp7CbLLJ7bTroy31mnnmKLmcdB5H6ujZpykyZPJ4CJoAWI/wCQAQzeOJ7gPFNjwACa7dH1AgGJLjMO+wHXa7AsGQ2v0BwickrcigKdyniaAJQKIjfAIA9OZwGH2g9u83ekEFAlZXBAD98rgcctht6gwEJfUfKgWCQTkddnlcBE9ILna7ETb5fN1hk8djtG0EgGTAnysAQP9yc43ZbV2d1NFhdTUA0CeX06Fxo/O1bmON0hTqc+tdSCF1dAZVWVHEqicktJ5b6MKBk89nfDYEAMmI8AkAcGhpaVJpqRFAtbTQBwpAQjp93HB9sGWPGg/6lZXuigqgQp+f7c7jdmryScUWVgn0Fg6aHI7oVU1eL2ETgNRB+AQAODyXq7sPVGMjfaAAJJyRRZn6+lmjteqNajU0d8jttH/e4ymojs6gPG6nvn7WaM50B0v1PANdOGRyu40vW9/98gEg6RE+AQCOjM0mFRYaM+W9e6XOTqsrAoAop5xQpMLcNK3dUKOPttQrEAzJ6bCrsqJIk08qJnhC3IWDJrvd2DYXDps8HlY1ARhaCJ8AAEcnO9uYNdfWSu3tVlcDAFFGFmVqZFGmZp45Su3+gDwuBz2eEDfhsMnpNEKm8JfHw6omAEMb4RMA4Oh5vd19oA4epA8UgITjchI6wXzhoCkjw6ncXCknp3s7HQCgG+ETAGBgnE5p+HBp3z5p/376QAEAUp7d3t2vKbyqKRiUOjvblZ8fUlqa1RUCQGIifAIADJzNJg0bZszC6+roAwUASBmR/Zoit8/1PAtdS0tInbz+AcAhET4BAAYvI8M4I15dndTWxjY8AEBSCq9s8vmMr3DoRL8mABgcwicAQGx4PFJJiVRfLzU3sw0PAJDwwqubXC4jbEpLM75zJjoAiC3CJwBA7DgcUnFxdx+oQMDqigAAiBLeSufxGGFTWpqxugkAYB7CJwBA7OXlGbP6+nqpo8PqagAAQ5zdbnyFwyafz1jtBACID8InAIA50tO7+0C1ttIHCgAQN+HVTS5Xd9jk8xnXAQDij/AJAGAet9voA7Vnj9TYSB8oAIApwr2bHI7uoMnnM16GAADWI3wCAJjLbpcKC41teHv20AcKADAo4aDJZjPCJa/XeInxeIzLnJkOABIP4RMAID6ys413BXV1Unu71dUAAJJE5KqmcNAU/s5Z6QAgORA+AQDix+eTSkuNAOrgQfpAAQB6sduNsMnlMkKmcNDEqiYASF6ETwCA+HI6peHDpb17pYYG+kABwBAXbg7udhufUYQDJyfvVAAgZfAnHQAQfzablJ9vfJRdXy91dlpdEQAgTgibAGDo4U88AMA6mZnGu4/aWqMPFNvwACDlhLfRhZuD+3zGZw8ul9WVAQDihfAJAGAtj8foA1VfLzU1EUABQBILNwe326P7NXm9NAcHgKGM8AkAYD2HQyouNj4W379fCgSsrggAcAQiz0QXXtEUDpzsdqurAwAkCsInAEDiyMvr7gPV0WF1NQCAPtjtxle4X1M4dOJMdACA/hA+AQASS3q60Qikrk5qbWUbHgBYLLJBeFqaETb5fIRNAIAjR/gEAEg8brdUUtLdByoYtLoiABhSIvs2pacboZPbbXVVAIBkRfgEAEhMdrtUVGTs5di7lz5QAGCycODk8RiBU3o6gRMAIDYInwAAiS0nx3gnVFcntbdbXQ0ApJTILXXhwMnjsboqAECqIXwCACQ+n697G97Bg/SBAoBBiFzhlJZG4AQAMB/hEwAgObhc0vDh0p490oED9IECgCNkt9vkcPRuGO7knQAAIE54yQEAJA+bTSooMDrg1tdLnZ1WVwQACcluN/5kZmbaVFhoV2mplJtrdVUAgKHKbnUBkd544w1dffXVOv300zVu3DjNmDFDP/zhD9XU1BR13Jo1a/TVr35V48eP1/nnn68XX3zRoooBAJbIzJRKS40QCgAQdXa63FypuFgqK5OKi4Pyelvl8bBdGQBgnYRa+dTQ0KAJEyZo1qxZysnJ0ebNm7VkyRJt3rxZK1eulCS98847mjt3rr75zW/qe9/7nt5++239v//3/5Senq4vf/nLFv8XAADixuMxAqi6Oqm5mT5QAIYcu934Cm+j8/n67t0U4u8jAMBiCRU+zZw5M+ry5MmT5Xa7tWDBAtXW1qqoqEhPPPGEJkyYoPvvv1+SdPrpp2v79u1avHgx4RMADDUOh/Hx/v79xlcgYHVFAGCayDPTpaUZq5x8PuM6AAASWcK/VOXk5EiS/H6/Ojo6tHbt2l4h04UXXqjq6mrt2LHDggoBAJay2aS8PKmoyGhKDgApIhw2uVxSVpbxZ+6YY6SRI6Vhw4yz1BE8AQCSQUKtfAoLBALq7OzUli1btHTpUp199tkaMWKEtmzZIr/fr1GjRkUdP3r0aEnS1q1bNWLEiAE9ZigUUktLy6Dqbm1tjfqO2GOMzccYm48xNondLtuwYbLV1amtvV2S1NbWZnFRqSs8tpaMsdMptbaaspUoFArJZrPF/H6BIxVuFB5e1eTzGT/ztAQAJLOEDJ+mT5+u2tpaSdLUqVP14x//WJJ04MABSVJWVlbU8eHL4d8PhN/v16ZNmwZ8+0jbtm2Lyf2gf4yx+Rhj8zHG5nA5nXK3tcnudGrnzp1Wl5PyrBhjp9erjkBAfr/flPt3u92m3C/QF5vN+HK5jK104cDJ4bC6MgAAYichw6enn35ara2t2rJli5544gnddNNNeuaZZ0x9TJfLpTFjxgzqPlpbW7Vt2zaVlZXJ5/PFqDJEYozNxxibjzE2X1tbm2r/+U+NcLvlcSbkS13Sa2tr086dO1VaWipvvM866HRKo0aZsvJpy5YtMb9PoKcjbRQOAECqSMgZ+QknnCBJqqys1Pjx4zVz5kz96U9/6gqHmpqaoo5vbGyUJGVnZw/4MW02m9LS0gZ8+0g+ny9m94W+McbmY4zNxxibq83rlefYY+VrapI+34aH2PN6vfEPUR0O4926CdhyBzOEezd5PNFb6ejXBAAYKhL+Ja+iokIul0ufffaZjjnmGLlcLm3dujXqmPDlnr2gAABDVzAYVMjrlUpKjK68hAoA4iTyrHTZ2cZJOY85RhoxwmgUnpZG8AQAGFoS/mXvgw8+kN/v14gRI+R2uzV58mS99tprUcdUVVVp9OjRA242DgBIYS6XEUDl5PBuD4Bp7HZjUV5GhhEwjRghHXuscYa6zExOxgkAGNoSatvd3LlzNW7cOFVUVMjr9eof//iHVqxYoYqKCp1zzjmSpH/7t3/T7Nmzde+99+qCCy7Q2rVr9corr+jRRx+1uHoAQMKy2aSCAmPPy549Umen1RUBSHI9t9KFz05Hxg0AQG8JFT5NmDBBVVVVevrppxUKhVRaWqpLL71Uc+bM6TrzzBe+8AUtWbJEP/nJT/Tb3/5WJSUlWrhwoS644AKLqwcAJLysLGMfTF2d1NZmdTUAkky4UXjkWek4OSIAAIeXUOHTDTfcoBtuuOGwx82YMUMzZsyIQ0UAgJQT7gNVXy81N0smnDENQOoIb6dLTzdCJ/o1AQBw9BIqfAIAIC6cTqMD8L590v79UjBodUUAEojdbvyZSEvrDp04ZwEAAANH+AQAGJpsNqMrsMdjrILy+62uCIBFwv2bXK7usMnrJXACACBWCJ8AAENbRobxjjPcB4pteMCQEQ6cMjON0MnjsboiAABSE+ETAAAeT3QfKLbhASnJZjO+wj2cMjKMpuGscAIAwFyETwAASMa70eJiowfUvn1SIGB1RQBiIBw2+XzGVjqfz8ibCZwAAIgfwicAACLl5hrvTOvqpI4Oq6sBMAgOh/FPOjeXsAkAACtxolgAAHpKS5NKS419ObxjBZKOzWasciopkfLy+GcMAIDVCJ8AAOiLy2W8c83ONroSA0gKdrvxz3bECGOLXZi/M6Cmlg75O9lSCwBAvLHtDgCA/thsUmGhsQ1v716ps9PqigAcgtst5ecbjcTDtu48oNfXb9c7m2rVGQjK6bDrC2OLdPYXRqq8JNu6YgEAGEIInwAAOJzsbCOAqq2V2tutrgZAD3a7ETjl50vOiNnt3z7YpWerNqq1vVMel11Oh13+zoD+8u4Ord1Qo2suOlFfmlBiXeEAAAwRhE8AABwJr9foA1VXJx08KIVCVlcEQMZqp2HDpMzM6Ou37jygZ6s2qsMf0LAsj2wRjZ8yQiE1NHfo2d9vVEl+OiugAAAwGU0sAAA4Uk6nNHy40cGYPlCApex2KSvL6O3UM3iSpNfXb1dre6dyMtxRwZMk2Ww25WS41dreqdfX74hTxQAADF3MnAEAOBo2m7HMorg4en8PgLiw2YxdsMXF/f8z9HcG9M6mWnlc9l7BU/f92ORx2fX3jTU0IQcAwGTMmgEAGIiMDOOMeHV1Ulsb2/CAOHA4jNVOeXnGz/1p6wh0NRc/FKfDrs5AUG0dAbmch7hDAAAwKIRPAAAMlMcjlZRI9fVSc7MUDFpdEZCS7HbJ5zNCJ5/v8Md73Y6u5uKH0hkIyuV0yOsmeAIAwExsuwMAYDAcDmPvz+GWYgA4auGVTqWlxteRBE+S5HI69IWxRWr3BxXqZ1ViKBRSuz+oU08sZtUTAAAmI3wCACAW8vKMEMrttroSICVkZUkjRxr/rI40dIo0/ZSR8nmcamju6BVAhT4/253P49T0U0bEqGIAANAfwicAAGIlPd3YhpeWZnRFBjBgOTmDy3JHlWbrmotOlNvl0N7GdjW1dKi1vVNNLR3a29gut8uhay46UeUl2TGrGQAA9I2eTwAAxJLbbQRQe/ZIjY30gQIs9KUJJSrJT9fr63fo7xtruno8fXFCqaafMoLgCQCAOCF8AgAg1ux2qbDQaEi+Z48U4DTugFXKS7JVXpKtWRecoLaOgLxuBz2eAACIM8InAADMkp1trISqq5Pa262uBhjSXE5CJwAArELPJwAAzOTzGafpysigDxQAAACGJMInAADM5nRKw4dLubnGljwAAABgCGEGDABAPNhsUn6+VFRkhFEAAADAEEH4BABAPGVmGtvwvF624SGmDh48qDPPPFMVFRX66KOPuq6fNWuWKioqen1VV1dbWC0AABhK+OgVAIB483iMAKq+XmpqkkIhqytCCnj88ccV6OfMiieffLLuuuuuqOtGjBgRj7IAAAAInwAAsITDIRUXG2fD279f6ic0AI5EdXW1fvnLX+quu+7Sv//7v/f6fVZWliZNmhT/wgAAAMS2OwAArJWXZ/SBcrutrgRJbOHChbriiitUXl5udSkAAAC9sPIJAACrZWQY4VNdndTayjY8HJVXX31Vn3zyiZYsWaINGzb0ecy6des0adIkBQIBTZw4Ud/61rd06qmnDupxQ6GQWlpaBnUfra2tUd8Re4yx+Rhj8zHG5mOMzZeqYxwKhWQ7gj6mhE8AACQCt1sqKenuAxUMWl0RkkBra6sefPBB3X777crIyOjzmFNPPVUzZ85UWVmZ6urqtGLFCl177bV67rnnVFlZOeDH9vv92rRp04BvH2nbtm0xuR/0jzE2H2NsPsbYfIyx+VJxjN1HsIKf8AkAgERhtxtb8Dweae9e+kDhsJ544gkNGzZM3/jGN/o9Zt68eVGXp02bposvvliPP/64li1bNuDHdrlcGjNmzIBvLxnh2bZt21RWViafzzeo+0LfGGPzMcbmY4zNxxibL1XHeMuWLUd0HOETAACJJifHCKDq6qT2dqurQYLauXOnVq5cqaVLl6qpqUmSurbBtbS06ODBg0pPT+91u7S0NJ111ll67bXXBvX4NptNaWlpg7qPMJ/PF7P7Qt8YY/MxxuZjjM3HGJsv1cb4SLbcSYRPAAAkJp+vexvewYP0gUIvO3bskN/v1w033NDrd7Nnz9bEiRP1/PPPW1AZAABANMInAAASlcslDR8u7dkjHThAHyhEGTt2rH72s59FXbdp0yb98Ic/1H333afx48f3ebuWlhb95S9/6ff3AAAAsUb4BABAIrPZpIICyes1VkF1dlpdERJEVlaWJk+e3OfvTjrpJJ100kl65513tHz5cp177rkqLS1VXV2dnnnmGdXX12vRokVxrhgAAAxVhE8AACSDzEzjjHi1tVJbm9XVIEkUFBTI7/fr0UcfVUNDg3w+nyorK3XfffdpwoQJVpcHAACGCMInAACShccjlZYajcibm+kDhV4mT56sf/7zn12Xjz32WK1YscLCigAAACS71QUAAICj4HBIxcXSsGHGzwAAAECCI3wCACDZ2GxSXp5UVGQ0JQcAAAASGNvuAABIVhkZRvhUXy+1trINDwAAAAmJlU8AACQzj0cqKZGysiQ7L+sAAABIPMxSAQBIdna7sQWPPlAAAABIQIRPAACkitxcafhwYzUUAAAAkCAInwAASCVpacY2vPR0ozE5AAAAYDHCJwAAUo3LZQRQOTn0gQIAAIDlmJECAJCKbDapoEAqLJScnNwWAAAA1iF8AgAglWVlGaugvF6rKwEAAMAQRfgEAECq83qNACozkz5QAAAAiDvCJwAAhgKnUyoulvLy6AMFAACAuGL2CQDAUGGzScOGGSGUy2V1NQAAABgiEqoD6R/+8Ae9/PLL2rBhgxobG3Xsscdq1qxZ+sY3viHb59sEZs2apXXr1vW6bVVVlUaPHh3vkgEASD4ZGUb4VFcntbVJoZDVFQEAACCFJVT49NOf/lSlpaWaP3++cnNz9eabb2rBggWqqanR3Llzu447+eSTddddd0XddsSIEfEuFwCA5OXxGH2g6uul5mYpGLS6IgAAAKSohAqfnnjiCeXl5XVdnjJlihoaGvTMM8/o5ptvlv3zHhVZWVmaNGmSRVUCAJAiHA5jC97+/dK+fVIgYHVFAAAASEEJ1fMpMngKGzt2rJqbm9XS0mJBRQAADAG5udLw4ZLbbXUlAAAASEEJtfKpL+vXr1dRUZEyMjK6rlu3bp0mTZqkQCCgiRMn6lvf+pZOPfXUQT1OKBQadMDV2toa9R2xxxibjzE2H2NsPsZ4YGx5ebLV1yt08OBh+0C1tbVFfY8rp1NqbVXIhF5VoVCoq88kAAAAYiOhw6d33nlHVVVVUf2dTj31VM2cOVNlZWWqq6vTihUrdO211+q5555TZWXlgB/L7/dr06ZNsShb27Zti8n9oH+MsfkYY/MxxuZjjI+ey+mUq7FRoYYGBf3+wx6/c+fOOFQVzen1qiMQkP8I6hsINyvAAAAAYiphw6eamhrdfvvtmjx5smbPnt11/bx586KOmzZtmi6++GI9/vjjWrZs2YAfz+VyacyYMQO+vWR8wr5t2zaVlZXJ5/MN6r7QN8bYfIyx+Rhj8zHGg2drapL27pX6CXja2tq0c+dOlZaWyuv1xrc4p1MaNcqUlU9btmyJ+X0CAAAMdQkZPjU2Nur6669XTk6OlixZ0tVovC9paWk666yz9Nprrw3qMW02m9LS0gZ1H2E+ny9m94W+McbmY4zNxxibjzEehLQ0KTtbqq2V2tv7Pczr9cY/4HM4JJMeky13AAAAsZdQDccl45PUG2+8UU1NTVq+fLkyMzOtLgkAgKHJ65VKS6WMDIlQBgAAAAOUUOFTZ2enbrvtNm3dulXLly9XUVHRYW/T0tKiv/zlLxo/fnwcKgQAYIhxOo0z4eXlSYdYiQwAAAD0J6G23d133316/fXXNX/+fDU3N+v999/v+t2JJ56oDz/8UMuXL9e5556r0tJS1dXV6ZlnnlF9fb0WLVpkXeEAAKQym00aNkzyeKS6Oqmz0+qKAAAAkEQSKnz629/+Jkl68MEHe/1u9erVKigokN/v16OPPqqGhgb5fD5VVlbqvvvu04QJE+JdLgAAQ0tGhuRyGQFUW5vV1QAAACBJJFT4tGbNmsMes2LFijhUAgAA+uTxSCUlsgUCsjsTahoBAACABEXzBgAAcHQcDgULC2XLzzd6QgEAAACHQPgEAAAGpM3nk4qLJbfb6lIAAACQwAifAADAgASDQYV8PqmkREpLMxqTAwAAAD0QPgEAgMFxu40AKjtbsjO1AAAAQDRmiAAAYPDsdqmwUCookBwOq6sBAABAAiF8AgAAsZOdbayC8nisrgQAAAAJgvAJAADEls8nlZZKGRn0gQIAAADhEwAAMIHTKQ0fLuXm0gcKAABgiGM2CAAAzGGzSfn5UlGREUYBAABgSCJ8AgAA5srMNLbheb1swwMAABiCCJ8AAID5PB4jgMrMJIACAAAYYgifAABAfDgcUnGxNGyY8TMAAACGBMInAAAQX3l5Rh8ot9vqSgAAABAHhE8AACD+MjKkkhIpLY1teAAAACmO8AkAAFjD7TYCqKwsyc6UBAAAIFUx0wMAANax240tePn59IECAABIUYRPAADAejk5xiooj8fqSgAAABBjhE8AACAx+HxGAJWeTh8oAACAFEL4BAAAEofLZQRQOTn0gRrC/J0BNbV0yN8ZsLoUAAAQA06rCwAAAIhis0kFBZLXK9XXS52dVleEONm684BeX79d72yqVWcgKKfDri+MLdLZXxip8pJsq8sDAAADRPgEAAASU2amcUa82lqprc3qamCyv32wS89WbVRre6c8LrucDrv8nQH95d0dWruhRtdcdKK+NKHE6jIBAMAAsJ4dAAAkLo9HKi01gij6QKWsbbub9GzVRnX4AxqW5VFmmls+j1OZaW4Ny/Kowx/Qs7/fqP/bdcDqUgEAwAAQPgEAgMTmcEjFxdKwYcbPhFAp53/e36XW9k7lZLhl6/H/12azKSfDrdb2Tr2+fodFFQIAgMEgfAIAAInPZpPy8qSiIiOAQsroDIT07id75HHZewVPYTabTR6XXX/fWEMTcgAAkhA9nwAAQPLIyDDOiIeU0dEZUiAYktNx6M9EnQ67OgNBtXUE5HISQAIAkExY+QQAAJKLx2N1BYght9Mmh92mzkDwkMeFz37ndRM8AQCQbAifAAAAYBmnw6aTj89Xuz+oUCjU5zGhUEjt/qBOPbGYVU8AACQhwicAAABYauqkEvk8TjU0d/QKoEKhkBqaO+TzODX9lBEWVQgAAAaD8AkAAACWKhueqWsuOlFul0N7G9vV1NKh1vZONbV0aG9ju9wuh6656ESVl2RbXSoAABgAGo4DAADAcl+aUKKS/HS9vn6H/r6xRp2BoFxOh744oVTTTxlB8AQAQBIjfAIAAEBCKC/JVnlJtmZdcILaOgLyuh30eAIAIAUQPgEAACChuJyETgAApBJ6PgEAAAAAAMA0hE8AAAAAAAAwDeETAAAAAAAATEP4BAAAAAAAANMQPgEAAAAAAMA0hE8AAAAAAAAwDeETAAAAAAAATEP4BAAAAAAAANMQPgEAAAAAAMA0hE8AAAAAAAAwDeETAAAAAAAATEP4BAAAAAAAANMQPgEAAAAAAMA0tlAoFLK6CKu9++67CoVCcrvdg7qfUCgkv98vl8slm80Wo+oQiTE2H2NsPsbYfIyx+VJ1jDs6OmSz2XTyySdbXUpCY+6UPBhj8zHG5mOMzccYmy9Vx/hI507OONWT0GL1P95msw16EoZDY4zNxxibjzE2H2NsvlQdY5vNllITQrMwd0oejLH5GGPzMcbmY4zNl6pjfKRzJ1Y+AQAAAAAAwDT0fAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKZxWl1AKqiurtbChQv13nvvKT09XTNnztRtt90mt9ttdWkp46WXXtLdd9/d6/rrr79ed955pwUVJbdPP/1UK1as0AcffKDNmzdr1KhReuWVV3od98ILL2j58uXatWuXysvLdfvtt2v69OkWVJx8jmSMZ82apXXr1vW6bVVVlUaPHh2vUpPWH/7wB7388svasGGDGhsbdeyxx2rWrFn6xje+IZvN1nUcz+OBO5Ix5nmMgWDuZD7mTrHF3Ml8zJ3Mx9zJfMyd+kf4NEgHDhzQNddco7KyMi1ZskS1tbV68MEH1dbWpnvuucfq8lLO8uXLlZmZ2XW5qKjIwmqS1+bNm/XGG29o4sSJCgaDCoVCvY75/e9/rwULFuimm27S6aefrqqqKs2dO1e/+MUvNGnSpPgXnWSOZI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","text/plain":["<Figure size 1200x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# 2. Create scatter plots with regression lines\n","plt.figure(figsize=(12, 6))\n","\n","# T-Win % vs. Play Rate\n","plt.subplot(1, 2, 1)\n","sns.regplot(x='Play Rate', y='T-Win %', data=df_map, scatter_kws={'s': 50}, line_kws={'color': 'red'})\n","plt.title(f'T-Win % vs Play Rate (Corr: {corr_t:.2f})', fontsize=14)\n","plt.xlabel('Play Rate (%)', fontsize=12)\n","plt.ylabel('T-Win %', fontsize=12)\n","plt.grid(True)\n","\n","# CT-Win % vs. Play Rate\n","plt.subplot(1, 2, 2)\n","sns.regplot(x='Play Rate', y='CT-Win %', data=df_map, scatter_kws={'s': 50}, line_kws={'color': 'blue'})\n","plt.title(f'CT-Win % vs Play Rate (Corr: {corr_ct:.2f})', fontsize=14)\n","plt.xlabel('Play Rate (%)', fontsize=12)\n","plt.ylabel('CT-Win %', fontsize=12)\n","plt.grid(True)\n","\n","# Adjust layout and show the plots\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"d94a3e73","metadata":{"papermill":{"duration":0.024446,"end_time":"2024-10-11T12:56:31.23578","exception":false,"start_time":"2024-10-11T12:56:31.211334","status":"completed"},"tags":[]},"source":["-> a slight positive correlation between Play Rate and CT Wins, and conversely for T Wins, indicate that CT side is more favorable"]},{"cell_type":"markdown","id":"5e31c3ec","metadata":{"papermill":{"duration":0.023881,"end_time":"2024-10-11T12:56:31.284152","exception":false,"start_time":"2024-10-11T12:56:31.260271","status":"completed"},"tags":[]},"source":["#### Analyze HS % vs. KPR to determine if headshot-heavy weapons also tend to result in more kills."]},{"cell_type":"code","execution_count":30,"id":"c0cd3af6","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:31.334281Z","iopub.status.busy":"2024-10-11T12:56:31.333883Z","iopub.status.idle":"2024-10-11T12:56:31.932145Z","shell.execute_reply":"2024-10-11T12:56:31.931276Z"},"papermill":{"duration":0.625975,"end_time":"2024-10-11T12:56:31.934403","exception":false,"start_time":"2024-10-11T12:56:31.308428","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Correlation between HS % and KPR: -0.09\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Calculate the correlation between HS % and KPR\n","corr_hs_kpr = pearsonr(df_weapon['HS %'], df_weapon['KPR'])[0]\n","print(f\"Correlation between HS % and KPR: {corr_hs_kpr:.2f}\")\n","\n","# Create a scatter plot with a regression line\n","plt.figure(figsize=(10, 6))\n","sns.regplot(x='HS %', y='KPR', data=df_weapon, scatter_kws={'s': 100}, line_kws={'color': 'red'})\n","plt.title(f'HS % vs KPR for Weapons (Corr: {corr_hs_kpr:.2f})', fontsize=16)\n","plt.xlabel('Headshot Percentage (HS %)', fontsize=14)\n","plt.ylabel('Kills Per Round (KPR)', fontsize=14)\n","plt.grid(True)\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"95deee95","metadata":{"papermill":{"duration":0.025683,"end_time":"2024-10-11T12:56:31.98594","exception":false,"start_time":"2024-10-11T12:56:31.960257","status":"completed"},"tags":[]},"source":["- no correlation btw HS % and KPR"]},{"cell_type":"code","execution_count":31,"id":"3248dc94","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:32.037125Z","iopub.status.busy":"2024-10-11T12:56:32.036781Z","iopub.status.idle":"2024-10-11T12:56:32.049504Z","shell.execute_reply":"2024-10-11T12:56:32.048628Z"},"papermill":{"duration":0.040529,"end_time":"2024-10-11T12:56:32.051312","exception":false,"start_time":"2024-10-11T12:56:32.010783","status":"completed"},"tags":[]},"outputs":[{"data":{"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>Rank</th>\n","      <th>Name</th>\n","      <th>CS Rating</th>\n","      <th>Region</th>\n","      <th>Wins</th>\n","      <th>Ties</th>\n","      <th>Losses</th>\n","      <th>Win_Ratio</th>\n","      <th>Total Matches</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>sH0oRuk YouTube</td>\n","      <td>31203</td>\n","      <td>Asia</td>\n","      <td>278</td>\n","      <td>9</td>\n","      <td>98</td>\n","      <td>0.722078</td>\n","      <td>385</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>TTpo100Razeb Daniel</td>\n","      <td>29626</td>\n","      <td>Europe</td>\n","      <td>250</td>\n","      <td>12</td>\n","      <td>174</td>\n","      <td>0.573394</td>\n","      <td>436</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>REZPEZTâ¢</td>\n","      <td>29588</td>\n","      <td>Europe</td>\n","      <td>133</td>\n","      <td>2</td>\n","      <td>58</td>\n","      <td>0.689119</td>\n","      <td>193</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>rAdek1ngâ</td>\n","      <td>29548</td>\n","      <td>South America</td>\n","      <td>75</td>\n","      <td>1</td>\n","      <td>8</td>\n","      <td>0.892857</td>\n","      <td>84</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>ð</td>\n","      <td>29480</td>\n","      <td>Asia</td>\n","      <td>106</td>\n","      <td>0</td>\n","      <td>10</td>\n","      <td>0.913793</td>\n","      <td>116</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Rank                 Name  CS Rating         Region  Wins  Ties  Losses  \\\n","0     1      sH0oRuk YouTube      31203           Asia   278     9      98   \n","1     2  TTpo100Razeb Daniel      29626         Europe   250    12     174   \n","2     3           REZPEZTâ¢      29588         Europe   133     2      58   \n","3     4          rAdek1ngâ      29548  South America    75     1       8   \n","4     5                 ð      29480           Asia   106     0      10   \n","\n","   Win_Ratio  Total Matches  \n","0   0.722078            385  \n","1   0.573394            436  \n","2   0.689119            193  \n","3   0.892857             84  \n","4   0.913793            116  "]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["df_top.head()"]},{"cell_type":"code","execution_count":32,"id":"071da679","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:32.103938Z","iopub.status.busy":"2024-10-11T12:56:32.103645Z","iopub.status.idle":"2024-10-11T12:56:34.202224Z","shell.execute_reply":"2024-10-11T12:56:34.201Z"},"papermill":{"duration":2.127596,"end_time":"2024-10-11T12:56:34.2044","exception":false,"start_time":"2024-10-11T12:56:32.076804","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["ANOVA Result: F-statistic = 1.0694, p-value = 0.3824\n","Fail to reject the null hypothesis: There is no significant difference in win ratios between regions.\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":["\n","Detailed ANOVA table:\n","              sum_sq    df         F  PR(>F)\n","C(Region)  0.058159   5.0  1.069362  0.3824\n","Residual   1.022473  94.0       NaN     NaN\n"]}],"source":["from scipy.stats import f_oneway\n","import statsmodels.api as sm\n","from statsmodels.formula.api import ols\n","\n","# 1. Perform ANOVA using scipy\n","asia_win_ratio = df_top[df_top['Region'] == 'Asia']['Win_Ratio']\n","europe_win_ratio = df_top[df_top['Region'] == 'Europe']['Win_Ratio']\n","south_america_win_ratio = df_top[df_top['Region'] == 'South America']['Win_Ratio']\n","north_america_win_ratio = df_top[df_top['Region'] == 'North America']['Win_Ratio']\n","australia_win_ratio = df_top[df_top['Region'] == 'Australia']['Win_Ratio']\n","africa_win_ratio = df_top[df_top['Region'] == 'Africa']['Win_Ratio']\n","\n","# Perform the ANOVA test\n","anova_result = f_oneway(asia_win_ratio, europe_win_ratio, south_america_win_ratio, north_america_win_ratio, australia_win_ratio, africa_win_ratio)\n","print(f\"ANOVA Result: F-statistic = {anova_result.statistic:.4f}, p-value = {anova_result.pvalue:.4f}\")\n","\n","# 2. Interpretation\n","alpha = 0.05\n","if anova_result.pvalue < alpha:\n","    print(\"Reject the null hypothesis: There is a significant difference in win ratios between regions.\")\n","else:\n","    print(\"Fail to reject the null hypothesis: There is no significant difference in win ratios between regions.\")\n","\n","# 3. Visualize the data with a box plot for better understanding\n","plt.figure(figsize=(10, 6))\n","sns.boxplot(x='Region', y='Win_Ratio', data=df_top, palette='viridis')\n","plt.title('Win Ratio by Region', fontsize=16)\n","plt.xlabel('Region', fontsize=14)\n","plt.ylabel('Win Ratios', fontsize=14)\n","plt.grid(True)\n","plt.tight_layout()\n","plt.show()\n","\n","# 4. Detailed ANOVA table using statsmodels (optional, for deeper analysis)\n","model = ols('Win_Ratio ~ C(Region)', data=df_top).fit()\n","anova_table = sm.stats.anova_lm(model, typ=2)\n","print(\"\\nDetailed ANOVA table:\\n\", anova_table)"]},{"cell_type":"code","execution_count":33,"id":"86721741","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:34.2615Z","iopub.status.busy":"2024-10-11T12:56:34.261036Z","iopub.status.idle":"2024-10-11T12:56:34.920761Z","shell.execute_reply":"2024-10-11T12:56:34.919819Z"},"papermill":{"duration":0.689338,"end_time":"2024-10-11T12:56:34.92282","exception":false,"start_time":"2024-10-11T12:56:34.233482","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Paired t-test result: t-statistic = 0.3521, p-value = 0.7329\n","Fail to reject the null hypothesis: There is no significant difference between T-Win % and CT-Win % across maps.\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["from scipy.stats import ttest_rel\n","# Perform paired t-test between T-Win % and CT-Win % for each map\n","t_statistic, p_value = ttest_rel(df_map['T-Win %'], df_map['CT-Win %'])\n","\n","print(f\"Paired t-test result: t-statistic = {t_statistic:.4f}, p-value = {p_value:.4f}\")\n","\n","# Interpretation of the result\n","alpha = 0.05\n","if p_value < alpha:\n","    print(\"Reject the null hypothesis: There is a significant difference between T-Win % and CT-Win % across maps.\")\n","else:\n","    print(\"Fail to reject the null hypothesis: There is no significant difference between T-Win % and CT-Win % across maps.\")\n","\n","# Visualize the T-Win % and CT-Win % for each map to see the differences\n","plt.figure(figsize=(10, 6))\n","df_map_melted = df_map.melt(id_vars='Map', value_vars=['T-Win %', 'CT-Win %'], var_name='Side', value_name='Win %')\n","\n","sns.barplot(x='Map', y='Win %', hue='Side', data=df_map_melted, palette='viridis')\n","plt.title('T-Win % vs CT-Win % Across Maps', fontsize=16)\n","plt.xlabel('Map', fontsize=14)\n","plt.ylabel('Win Percentage (%)', fontsize=14)\n","plt.xticks(rotation=45, ha='right', fontsize=12)\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"code","execution_count":34,"id":"b5c27dfc","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:34.98204Z","iopub.status.busy":"2024-10-11T12:56:34.981702Z","iopub.status.idle":"2024-10-11T12:56:36.053105Z","shell.execute_reply":"2024-10-11T12:56:36.05223Z"},"papermill":{"duration":1.102572,"end_time":"2024-10-11T12:56:36.055391","exception":false,"start_time":"2024-10-11T12:56:34.952819","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<Figure size 800x500 with 0 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["from sklearn.cluster import KMeans\n","from sklearn.preprocessing import StandardScaler\n","from sklearn.metrics import silhouette_score\n","\n","# Create a new feature for Win % Balance\n","df_map['Win % Balance'] = df_map['T-Win %'] - df_map['CT-Win %']\n","\n","# Select the features for clustering\n","X = df_map[['Play Rate', 'Win % Balance']]\n","\n","# Standardize the features\n","scaler = StandardScaler()\n","X_scaled = scaler.fit_transform(X)\n","\n","# Determine the optimal number of clusters using the Elbow Method\n","inertia = []\n","range_n_clusters = range(1, 10)\n","for n_clusters in range_n_clusters:\n","    kmeans = KMeans(n_clusters=n_clusters, n_init=10, random_state=42)\n","    kmeans.fit(X_scaled)\n","    inertia.append(kmeans.inertia_)\n","\n","# Plot the Elbow Method to find the optimal number of clusters\n","plt.figure(figsize=(8, 5))\n","plt.show()\n","plt.plot(range_n_clusters, inertia, marker='o')\n","plt.title('Elbow Method for Optimal k', fontsize=16)\n","plt.xlabel('Number of Clusters', fontsize=14)\n","plt.ylabel('Inertia', fontsize=14)\n","plt.grid(True)\n","plt.tight_layout()"]},{"cell_type":"code","execution_count":35,"id":"aacc6dcb","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:36.113845Z","iopub.status.busy":"2024-10-11T12:56:36.113494Z","iopub.status.idle":"2024-10-11T12:56:36.717406Z","shell.execute_reply":"2024-10-11T12:56:36.716536Z"},"papermill":{"duration":0.636068,"end_time":"2024-10-11T12:56:36.720074","exception":false,"start_time":"2024-10-11T12:56:36.084006","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["        Map  Play Rate  Win % Balance  Cluster\n","0   Dust II       26.7           -1.6        1\n","1    Mirage       23.9           -1.8        1\n","2   Inferno       13.1            0.6        1\n","3      Nuke        4.3           -6.0        0\n","4   Vertigo        4.0           -4.4        0\n","5  Overpass        3.9           -3.6        0\n","6    Office        1.5            8.4        2\n","7    Anubis        1.3            2.8        0\n","8   Ancient        0.9           -2.6        0\n","9     Italy        0.3           15.6        2\n","         Play Rate  Win % Balance  Number of Maps\n","Cluster                                          \n","0         2.880000      -2.760000               5\n","1        21.233333      -0.933333               3\n","2         0.900000      12.000000               2\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Fit K-means with k=3\n","kmeans = KMeans(n_clusters=3, n_init=10, random_state=42)\n","df_map['Cluster'] = kmeans.fit_predict(X_scaled)\n","\n","# Display the first few rows to see the cluster assignments\n","print(df_map[['Map', 'Play Rate', 'Win % Balance', 'Cluster']])\n","\n","# Analyze the characteristics of each cluster\n","cluster_summary = df_map.groupby('Cluster').agg({\n","    'Play Rate': 'mean',\n","    'Win % Balance': 'mean',\n","    'Map': 'count'\n","}).rename(columns={'Map': 'Number of Maps'})\n","\n","print(cluster_summary)\n","\n","# Visualize the clusters\n","plt.figure(figsize=(10, 6))\n","sns.scatterplot(x='Play Rate', y='Win % Balance', hue='Cluster', data=df_map, palette='viridis', s=100)\n","for i, row in df_map.iterrows():\n","    plt.text(row['Play Rate'], row['Win % Balance'], row['Map'], fontsize=9, ha='right')\n","\n","plt.title('Clustering of Maps Based on Play Rate and Win % Balance', fontsize=16)\n","plt.xlabel('Play Rate (%)', fontsize=14)\n","plt.ylabel('Win % Balance (T-Win % - CT-Win %)', fontsize=14)\n","plt.grid(True)\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","id":"2a6ebdeb","metadata":{"papermill":{"duration":0.028777,"end_time":"2024-10-11T12:56:36.779181","exception":false,"start_time":"2024-10-11T12:56:36.750404","status":"completed"},"tags":[]},"source":["### Regression Analysis"]},{"cell_type":"markdown","id":"1564d6ed","metadata":{"papermill":{"duration":0.029513,"end_time":"2024-10-11T12:56:36.837518","exception":false,"start_time":"2024-10-11T12:56:36.808005","status":"completed"},"tags":[]},"source":["#### Predict CS Rating based on Wins, Losses, and Ties using linear regression."]},{"cell_type":"code","execution_count":36,"id":"3c169353","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:36.898153Z","iopub.status.busy":"2024-10-11T12:56:36.897422Z","iopub.status.idle":"2024-10-11T12:56:36.93291Z","shell.execute_reply":"2024-10-11T12:56:36.931855Z"},"papermill":{"duration":0.067998,"end_time":"2024-10-11T12:56:36.935059","exception":false,"start_time":"2024-10-11T12:56:36.867061","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Linear Regression for CS Rating Prediction:\n","Coefficients: [ 0.80317408 -1.52156991 -5.35373846]\n","Intercept: 27905.270773419546\n","Mean Squared Error: 979881.20\n","R^2 Score: -0.05\n","\n","                            OLS Regression Results                            \n","==============================================================================\n","Dep. Variable:              CS Rating   R-squared:                       0.004\n","Model:                            OLS   Adj. R-squared:                 -0.036\n","Method:                 Least Squares   F-statistic:                   0.09391\n","Date:                Fri, 11 Oct 2024   Prob (F-statistic):              0.963\n","Time:                        12:56:36   Log-Likelihood:                -640.74\n","No. Observations:                  80   AIC:                             1289.\n","Df Residuals:                      76   BIC:                             1299.\n","Df Model:                           3                                         \n","Covariance Type:            nonrobust                                         \n","==============================================================================\n","                 coef    std err          t      P>|t|      [0.025      0.975]\n","------------------------------------------------------------------------------\n","const       2.791e+04    165.468    168.644      0.000    2.76e+04    2.82e+04\n","Wins           0.8032      2.771      0.290      0.773      -4.716       6.322\n","Losses        -1.5216      4.265     -0.357      0.722     -10.016       6.972\n","Ties          -5.3537     54.359     -0.098      0.922    -113.618     102.911\n","==============================================================================\n","Omnibus:                        8.026   Durbin-Watson:                   2.137\n","Prob(Omnibus):                  0.018   Jarque-Bera (JB):                8.534\n","Skew:                           0.780   Prob(JB):                       0.0140\n","Kurtosis:                       2.642   Cond. No.                         268.\n","==============================================================================\n","\n","Notes:\n","[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"]}],"source":["from sklearn.model_selection import train_test_split\n","from sklearn.linear_model import LinearRegression\n","from sklearn.metrics import mean_squared_error, r2_score\n","import statsmodels.api as sm\n","\n","# 1. Predict CS Rating using Wins, Losses, and Ties (Linear Regression)\n","# Prepare the data\n","X_players = df_top[['Wins', 'Losses', 'Ties']]\n","y_players = df_top['CS Rating']\n","\n","# Split data into training and testing sets\n","X_train_players, X_test_players, y_train_players, y_test_players = train_test_split(X_players, y_players, test_size=0.2, random_state=42)\n","\n","# Create and fit the model\n","model_players = LinearRegression()\n","model_players.fit(X_train_players, y_train_players)\n","\n","# Make predictions\n","y_pred_players = model_players.predict(X_test_players)\n","\n","# Print results\n","print(\"Linear Regression for CS Rating Prediction:\")\n","print(f\"Coefficients: {model_players.coef_}\")\n","print(f\"Intercept: {model_players.intercept_}\")\n","print(f\"Mean Squared Error: {mean_squared_error(y_test_players, y_pred_players):.2f}\")\n","print(f\"R^2 Score: {r2_score(y_test_players, y_pred_players):.2f}\\n\")\n","\n","# Detailed regression summary using statsmodels\n","X_train_players_sm = sm.add_constant(X_train_players)  # Add intercept term\n","model_players_sm = sm.OLS(y_train_players, X_train_players_sm).fit()\n","print(model_players_sm.summary())"]},{"cell_type":"markdown","id":"55efe41f","metadata":{"papermill":{"duration":0.028443,"end_time":"2024-10-11T12:56:36.994032","exception":false,"start_time":"2024-10-11T12:56:36.965589","status":"completed"},"tags":[]},"source":["- model is not accurate with large MSE since insufficient data"]},{"cell_type":"code","execution_count":37,"id":"73f3ad21","metadata":{"execution":{"iopub.execute_input":"2024-10-11T12:56:37.052364Z","iopub.status.busy":"2024-10-11T12:56:37.052025Z","iopub.status.idle":"2024-10-11T12:56:37.083569Z","shell.execute_reply":"2024-10-11T12:56:37.082537Z"},"papermill":{"duration":0.063939,"end_time":"2024-10-11T12:56:37.086397","exception":false,"start_time":"2024-10-11T12:56:37.022458","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","Multiple Regression for Total Kills Prediction:\n","Coefficients: [38060.98119089  4808.71560769]\n","Intercept: -65033.1495680761\n","Mean Squared Error: 28093879422.07\n","R^2 Score: -0.28\n","\n","                            OLS Regression Results                            \n","==============================================================================\n","Dep. Variable:            Total Kills   R-squared:                       0.317\n","Model:                            OLS   Adj. R-squared:                  0.212\n","Method:                 Least Squares   F-statistic:                     3.012\n","Date:                Fri, 11 Oct 2024   Prob (F-statistic):             0.0842\n","Time:                        12:56:37   Log-Likelihood:                -190.39\n","No. Observations:                  16   AIC:                             386.8\n","Df Residuals:                      13   BIC:                             389.1\n","Df Model:                           2                                         \n","Covariance Type:            nonrobust                                         \n","==============================================================================\n","                 coef    std err          t      P>|t|      [0.025      0.975]\n","------------------------------------------------------------------------------\n","const      -6.503e+04   5.15e+04     -1.262      0.229   -1.76e+05    4.63e+04\n","KPR         3.806e+04   3.29e+04      1.156      0.268    -3.3e+04    1.09e+05\n","HS %        4808.7156   2136.410      2.251      0.042     193.283    9424.148\n","==============================================================================\n","Omnibus:                        7.654   Durbin-Watson:                   2.052\n","Prob(Omnibus):                  0.022   Jarque-Bera (JB):                4.554\n","Skew:                           0.904   Prob(JB):                        0.103\n","Kurtosis:                       4.887   Cond. No.                         96.0\n","==============================================================================\n","\n","Notes:\n","[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"]},{"name":"stderr","output_type":"stream","text":["/opt/conda/lib/python3.10/site-packages/scipy/stats/_axis_nan_policy.py:418: UserWarning: `kurtosistest` p-value may be inaccurate with fewer than 20 observations; only n=16 observations were given.\n","  return hypotest_fun_in(*args, **kwds)\n"]}],"source":["# 2. Analyze the impact of KPR and HS % on Total Kills (Multiple Regression)\n","# Prepare the data\n","X_weapons = df_weapon[['KPR', 'HS %']]\n","y_weapons = df_weapon['Total Kills']\n","\n","# Split data into training and testing sets\n","X_train_weapons, X_test_weapons, y_train_weapons, y_test_weapons = train_test_split(X_weapons, y_weapons, test_size=0.2, random_state=42)\n","\n","# Create and fit the model\n","model_weapons = LinearRegression()\n","model_weapons.fit(X_train_weapons, y_train_weapons)\n","\n","# Make predictions\n","y_pred_weapons = model_weapons.predict(X_test_weapons)\n","\n","# Print results\n","print(\"\\nMultiple Regression for Total Kills Prediction:\")\n","print(f\"Coefficients: {model_weapons.coef_}\")\n","print(f\"Intercept: {model_weapons.intercept_}\")\n","print(f\"Mean Squared Error: {mean_squared_error(y_test_weapons, y_pred_weapons):.2f}\")\n","print(f\"R^2 Score: {r2_score(y_test_weapons, y_pred_weapons):.2f}\\n\")\n","\n","# Detailed regression summary using statsmodels\n","X_train_weapons_sm = sm.add_constant(X_train_weapons)  # Add intercept term\n","model_weapons_sm = sm.OLS(y_train_weapons, X_train_weapons_sm).fit()\n","print(model_weapons_sm.summary())"]},{"cell_type":"markdown","id":"27b5c497","metadata":{"papermill":{"duration":0.03038,"end_time":"2024-10-11T12:56:37.147076","exception":false,"start_time":"2024-10-11T12:56:37.116696","status":"completed"},"tags":[]},"source":["Top Regions:\n","* regions with higher average CS Ratings generally have high number of total wins and win ratio, Europe and South America for example. Some factors might be training and infrastructure or volume of competitions\n","\n","Balanced Maps:\n","* Map with Win % Balance close to 0 indicate equal chances of Win Rate and vice versa\n","\n","Weapon effectiveness:\n","* Weapon with high HS % like Desert Eagle and high KPR like AK-47 and M4A1-S are more considered by skilled players\n","* Weapon like AWP with slightly high Total Kills with its high damage come with instant kills makes it also a favorable choice among players\n"]}],"metadata":{"kaggle":{"accelerator":"none","dataSources":[{"datasetId":4328031,"sourceId":7436495,"sourceType":"datasetVersion"}],"dockerImageVersionId":30786,"isGpuEnabled":false,"isInternetEnabled":true,"language":"python","sourceType":"notebook"},"kernelspec":{"display_name":"Python 3","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":"3.10.14"},"papermill":{"default_parameters":{},"duration":20.715424,"end_time":"2024-10-11T12:56:37.731474","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2024-10-11T12:56:17.01605","version":"2.6.0"}},"nbformat":4,"nbformat_minor":5}