IPL Cricket Data Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
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   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "match = pd.read_csv('matches.csv')\n",
    "score = pd.read_csv('deliveries.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>date</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>result</th>\n",
       "      <th>dl_applied</th>\n",
       "      <th>winner</th>\n",
       "      <th>win_by_runs</th>\n",
       "      <th>win_by_wickets</th>\n",
       "      <th>player_of_match</th>\n",
       "      <th>venue</th>\n",
       "      <th>umpire1</th>\n",
       "      <th>umpire2</th>\n",
       "      <th>umpire3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2008</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2008-04-18</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Asad Rauf</td>\n",
       "      <td>RE Koertzen</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>2008-04-19</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>Punjab Cricket Association Stadium, Mohali</td>\n",
       "      <td>MR Benson</td>\n",
       "      <td>SL Shastri</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2008</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>2008-04-19</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>MF Maharoof</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>Aleem Dar</td>\n",
       "      <td>GA Pratapkumar</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2008</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>2008-04-20</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>MV Boucher</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>SJ Davis</td>\n",
       "      <td>DJ Harper</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>2008-04-20</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>DJ Hussey</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>BF Bowden</td>\n",
       "      <td>K Hariharan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  season        city        date                  team1  \\\n",
       "0   1    2008   Bangalore  2008-04-18  Kolkata Knight Riders   \n",
       "1   2    2008  Chandigarh  2008-04-19    Chennai Super Kings   \n",
       "2   3    2008       Delhi  2008-04-19       Rajasthan Royals   \n",
       "3   4    2008      Mumbai  2008-04-20         Mumbai Indians   \n",
       "4   5    2008     Kolkata  2008-04-20        Deccan Chargers   \n",
       "\n",
       "                         team2                  toss_winner toss_decision  \\\n",
       "0  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "1              Kings XI Punjab          Chennai Super Kings           bat   \n",
       "2             Delhi Daredevils             Rajasthan Royals           bat   \n",
       "3  Royal Challengers Bangalore               Mumbai Indians           bat   \n",
       "4        Kolkata Knight Riders              Deccan Chargers           bat   \n",
       "\n",
       "   result  dl_applied                       winner  win_by_runs  \\\n",
       "0  normal           0        Kolkata Knight Riders          140   \n",
       "1  normal           0          Chennai Super Kings           33   \n",
       "2  normal           0             Delhi Daredevils            0   \n",
       "3  normal           0  Royal Challengers Bangalore            0   \n",
       "4  normal           0        Kolkata Knight Riders            0   \n",
       "\n",
       "   win_by_wickets player_of_match                                       venue  \\\n",
       "0               0     BB McCullum                       M Chinnaswamy Stadium   \n",
       "1               0      MEK Hussey  Punjab Cricket Association Stadium, Mohali   \n",
       "2               9     MF Maharoof                            Feroz Shah Kotla   \n",
       "3               5      MV Boucher                            Wankhede Stadium   \n",
       "4               5       DJ Hussey                                Eden Gardens   \n",
       "\n",
       "     umpire1         umpire2  umpire3  \n",
       "0  Asad Rauf     RE Koertzen      NaN  \n",
       "1  MR Benson      SL Shastri      NaN  \n",
       "2  Aleem Dar  GA Pratapkumar      NaN  \n",
       "3   SJ Davis       DJ Harper      NaN  \n",
       "4  BF Bowden     K Hariharan      NaN  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>P Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>P Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>P Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>P Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>P Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   match_id  inning           batting_team                 bowling_team  over  \\\n",
       "0         1       1  Kolkata Knight Riders  Royal Challengers Bangalore     1   \n",
       "1         1       1  Kolkata Knight Riders  Royal Challengers Bangalore     1   \n",
       "2         1       1  Kolkata Knight Riders  Royal Challengers Bangalore     1   \n",
       "3         1       1  Kolkata Knight Riders  Royal Challengers Bangalore     1   \n",
       "4         1       1  Kolkata Knight Riders  Royal Challengers Bangalore     1   \n",
       "\n",
       "   ball      batsman  non_striker   bowler  is_super_over   ...    bye_runs  \\\n",
       "0     1   SC Ganguly  BB McCullum  P Kumar              0   ...           0   \n",
       "1     2  BB McCullum   SC Ganguly  P Kumar              0   ...           0   \n",
       "2     3  BB McCullum   SC Ganguly  P Kumar              0   ...           0   \n",
       "3     4  BB McCullum   SC Ganguly  P Kumar              0   ...           0   \n",
       "4     5  BB McCullum   SC Ganguly  P Kumar              0   ...           0   \n",
       "\n",
       "   legbye_runs  noball_runs  penalty_runs  batsman_runs  extra_runs  \\\n",
       "0            1            0             0             0           1   \n",
       "1            0            0             0             0           0   \n",
       "2            0            0             0             0           1   \n",
       "3            0            0             0             0           0   \n",
       "4            0            0             0             0           0   \n",
       "\n",
       "   total_runs  player_dismissed dismissal_kind fielder  \n",
       "0           1               NaN            NaN     NaN  \n",
       "1           0               NaN            NaN     NaN  \n",
       "2           1               NaN            NaN     NaN  \n",
       "3           0               NaN            NaN     NaN  \n",
       "4           0               NaN            NaN     NaN  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No of matches played so far 577\n",
      "No of Seasons 9\n"
     ]
    }
   ],
   "source": [
    "# Let us get some basic stats #\n",
    "print('No of matches played so far',match.shape[0])\n",
    "print('No of Seasons', len(match.season.unique()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "577\n"
     ]
    }
   ],
   "source": [
    "print(match.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x218f32bc1d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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tAAAsQWkDAGAJShsAAEtQ2gAAWILSBgDAEpQ2AACWoLQBALAEpQ0AgCUobQAALEFpAwBg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\nNgAAlvj/97Y7D3ChbXMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f317d710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='season', data = match)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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77rgjR3+7K+W9ij9z5owKFy6sbt26+R0ju/vuu0+SNHfuXF+/urp16/rdv9F7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uxYAMDw4cMFFThoo9kmzDQkaVhMmTIFx48fR25uLrp27UrcyqcJNTU19OnTB+/evUNVVRXu37+P\nR48eNeqa9u/fj3PnznFGBMeOHRPMozp79iyysrIExaHtQsVWB5SUlBSShH/5y80LaWlp3KHT1dUV\nEokEQ4YMwYgRI4hds65fv47AwEAukezYsSNxZVJdXV2BdkUKmgYhLKKionDixAksWrQITk5OmDFj\nRpNImGm6NgYEBGDt2rXYsWMHXF1dERoa2mQSZhqKJ6mpqQgNDcXJkyehqamJkpIS+Pr6wtPTk/jg\nePToUZw5cwZ9+/bFwYMHieyUWdTU1MDCwgJ79uxBt27dGt2gYubMmWjfvv3f8vj5ory8HMePH4ev\nry93QCAFbYrmypUr4eDggJSUFHTv3h3+/v68JV1ZhISEcM/HHTt2CFpXUFAQTExMUFxcjPv370NP\nT09Q9Zsmmm3CTDrN+Tn4+/tDS0sLw4cPx/Xr1+Hn50c0LEYLhw4dQkZGBt6/fw8LCwuMGjUK7u7u\nRE48NBEWFobOnTtDSUkJR48e5RzPABArgRgaGipUl0lA24UqISEBiYmJyMvL41qXMpkMEokE7u7u\ngtb6L/53UFNTw9ChQzF06FCUlZXh+vXrOHLkCE6cOMHZ6PLFtm3bcPToUbi4uGDZsmVwcHBo9FY+\nTYMQFsrKylBTU+OGsZqKBjxN10Y1NTWYmppCIpGgX79+je6YKQ8arqUHDhxAfHw8x1ceNGgQjh49\nihUrVhAnzGfOnBFsp8xCXV0dWVlZkMlkuHPnjqCOCA1ERUXB29sb/v7+3LXFKl2RFuPYZ1t1dTVa\ntGghaPDy8uXLOHz4sIJNvRCDtJqaGowZMwbR0dEICQkRNKgnFovx6NEjGBsbc78j6eeZnZ0NX19f\nzJ07FzExMZg/fz7xumij2SbMP/74I/bt26dw8fCVgmNRUFDAJX9WVlaNPvS1e/dujBgxAkuXLsXg\nwYMbPVFmQfr+/h0kEgmmTJnCyfiIRKJGr+Ta2NjAwsICe/fu5XSdlZSUoKur26jr+hf88McffyAj\nI4M79Hz11VdYs2aNoBafkpIS2rRpA5FIBHV19SbB7aVpEMJi4MCBcHd3R0lJCfz9/RWGExsTtF0b\n16xZA0tLS5w9e7bJ7LNA3bU7bNgwAHUD7ps2beI9P6GmpvbJIKO+vr6gSi4NO2UWGzZswJYtW1Be\nXo5Dhw4RUfvs7Ow+SUJJ5Vy9vb0B1BXjaPH3x40bh507d8LMzAyzZs0SdE/SpCMBdc/e6Oho9OnT\nB7m5uYK8LPLz8xU6UCTSvCxkMhn++OMPGBoaQiwW/zv0RwP79+/Hnj17qKhksET6li1boqamptH1\njn/77TfcvHkTmZmZCA8Ph76+PiwtLTFy5EiFQYv/NWgqgbBYvHgx9ZhCoaamBkNDQ/j7++OPP/7g\nBjZu3bpFzD/7F/972NraYuLEiQgLCxOsP8uic+fOCAsLw9u3b7Fv375GvR9Z0DQIYeHm5obMzEz0\n6tUL3bp1E8z9pgVnZ2ekp6cjJycHxsbGsLKyIo4VERGB7OxsWFpa4tq1a9i8eTPFlQrDtm3boKGh\ngdraWvj5+cHa2poozsePHxUS5JqaGkFqCDTtlLOyshAREcF9f+TIkb/V+v8cWPk2mqDJ3589ezb3\n9ciRI7nDLAlo0pGAOqe/tLQ0LF++HKdPn4avry9xrDNnzlBbl42NDf4/9t48nur8/f9/HHsSIdpQ\nKlIZlUaT9qZNC9pEIzVFpqRNi9JQNKhE04pWiVS0TkSLSkmjMtJmIiTZt4RjP78//M7r47S8v53X\n63XmvPC6327v2/s4bq6usZxzPa/ndT0e7u7u8PLygo+Pj9gbmC3h8Ojycf6PWb58OS2yNECzhvLB\ngweho6OD9PR0rFq1ilGFUVxcHAIDA5GUlERqG5nJ8I1G3r59i969e8PBwYGSRW1lZaXArQOVrvDy\n5cu/WNgICgoiHY/lv+Wff/5BXFwcEhIS0LFjR2JUh4plekNDA8LDw/HmzRv07dsX8+fPF/tV8siR\nI2FsbAwej4dHjx4Rj//++2/Ex8cLFauxsRGNjY1wcnLC3r17wePx0NTUBHt7e0rXv3Th6+uLd+/e\nwdDQEE+ePIGmpiacnZ0pxXz//j1CQ0Nx9epVStfSdFJaWgoHBwfU1dXBx8eH1O9sTEwMzpw5gyVL\nlkBTUxN5eXk4duwY5syZQ7oAB0DYKfft2xfjx48X+uuvXbuG2NhY/P3330QXvampCW/evEFkZCSp\nnN69e4fo6GjiMFBYWEjaMdPKygrBwcGwtbVFcHAw5s6dK7SC0+HDh+Hg4PBVTX9paWmMHz9eaHvy\nzZs3Q0ZGhpZxpM+JjY1FaGio0DPMNjY2Xx0z4XA4pJVdWlJaWoqIiAjY29tTjkUHrbbDTKcUnJmZ\nGcaOHYv3799DQ0MDysrKdKYqNM+fP8fTp0/x5MkTZGRkQE9PD7NmzYKPj49Y8xIFLi4uMDIygpmZ\nGRITE7F582bSB6FNmzbh6dOnUFRUJK7lqOhB0rmwwfLfM3ToUAwdOhRr1qxBSUkJ7t+/Dzc3N+Tn\n55O6LiwtLSX0va9evYqGhgZGmF3QaRBy4cIFBAQEoLi4GCYmJuDxeJCUlBS7aRKfx48fE1ftixcv\nxvz580nHunfvHkJCQpCUlAR7e3tcvnyZrjRJ4+vrK6D6dP/+fVy5cgWA8O9vU6dOhYqKCsLDw1FY\nWIiePXvC0dERP/74o9B5NTQ0IDY2FoqKihg/fjzGjx+P4uJirF27Vujl6jFjxkBNTQ3l5eVEwSch\nIQFNTU2h8+Kzfv16TJ48GUlJSVBXV0d1dTXpWHTM7/NvZKZPn/6Fckd9fT18fHyELpjpHEcCmtWg\nwsPDcf78eWhpaWHevHlCx+CP0Rw6dAgTJ07EsGHDkJKSIiD1R4aUlBSEhoYiPj6eUL5iAq22YKZD\nCu5/nQLFOUfr6+uLUaNGYcWKFQKnSXEjiu9XWVkZbGxsAAADBgwQWpy/JZmZmbTOWdO5sMHy38Pj\n8fD69Ws8efIET548QVZWFvr3709qSe/YsWM4d+4cpKWlMWTIEOTl5UFVVRUPHz7Enj17RJD990On\nNvj8+fMxf/58REREkHoDFTUNDQ1oamqChIQEcSgWlhMnTuDSpUvo378/li5diqamJvz2228iyFZ4\n+vTpQzzW1tam/LM1MjJCjx49UFZWhu7du5O+cduwYQMkJSVRVFSE9PR0aGhoYOvWrUKPUACAkpIS\nsYxbUlJC3AhSGYWUl5fHb7/9hqysLHh7e1My9Rg2bBicnJwoze/r6ekBAI4fP46wsLAvPk/mFpWu\ncaQXL14gNDQUSUlJmDZtGrp160ZaHYP/+1pcXIzp06cDACZPnkxKlKGurg6RkZEIDQ2FjIwMKisr\ncevWLcqiAHTS6gpmvjuWmpoa5Vj8UyCTZmQAMPbaXxTfr9raWhQVFUFNTQ3FxcWU5i4NDAyQkZEh\n8KZDhSlTpuDQoUO0LGyw/PeMGTMGAwYMwMiRI7Fy5Ur079+fdKzo6Ghcv34d1dXVmDZtGu7duwcp\nKSmBGcW2hJGREQIDA2m54qaT6dOnY8GCBRg8eDBSUlKIN2lhOHHiBGbMmIE5c+agf//+hJ04E6Dj\nfY1Pbm4u1q1bBx6PBxUVFeTm5qJz586ES6swZGdn4+LFi6irq8PcuXMhLS2N4OBgSuNN7u7uuHfv\nHtTV1Ukv6vHhcDgoKipCVVUVqqurKXWY+fP7AwcORN++fTFhwgTSsZSUlHDq1CkB983Ro0dj0KBB\nQsdqOY50+fJlPH36lNQ4El/Z5K+//oKMjAxte0Th4eEwMDDAP//8Q2oZ9Oeff8bMmTOxZ88e9O7d\nG3Z2dowqloFWWDAnJCTghx9++Oqs0+jRo4WKpaOjg7q6OgQHBzNyXo9p8E/Nurq6ePDggYB7EdlO\nyJo1a2BlZQUFBQVUVVVhx44dpPNTUFDAvHnzBApbYU1QWmJtbU28kI8bN46yfTrLf0tsbCxt88Ud\nOnSAlJQUFBUV0adPH0IpgP//bQ06r7jpZOnSpRg9ejQyMjIwb948Ql1HGGJjYxETEwNPT0/U1NSA\ny+Xi06dPpO2i6eR/zfAK+/7m7e2N9evXC7w2x8XFwcPDQ2itXL7mr4yMDJqamnDixAlKuyYA8OzZ\nM9y6dYsWOT9HR0fcvHkT5ubmmDRpEszNzUnHysnJQVpaGmpqavDy5Uu8fPmStGGYsrIyUlNTBTwU\nhP058qFrHOnMmTMIDw/HzJkzMXnyZFr+tvfs2YOAgABER0ejX79+pG7dFi9ejL/++gsfPnzAvHnz\nwMT1ulb3as8f/vb29kZpaSlqampIx2L6vB5TcXR0RJ8+ffDmzRvIyspS0mgdNWoUbt++jdLS0i8k\nkITl77//RmJiIuUiJjExETt37kTHjh2xY8cO9O7dm1J3kkU80L2MV19fT7yI8x9TuRFhMnRecdNB\neHg4LCwsBGZ8X716BUD42V4ZGRmYmprC1NQU7969Q3h4OMzNzaGvr4/9+/fTnrsweHt7E4/fvHmD\n9PR0aGtrE456wlBSUvJFI2Ps2LGUO+qqqqqUi2UA6NWrF2pra2nR+DYyMiLMiPgucWRZv349xowZ\nQ8pe+3Na/jwBULLGpmMcCWi+iTUwMEB1dTUiIyPx5MkTWFhYwNzcHAsXLiQVU01NDQ4ODsR4DZfL\nFXoXbNmyZVi2bBnhbvzixQv4+PjA3Nyc1MFYFLS6gpmPm5sbEhISoKqqSvo6h+nzekyFx+PBw8MD\nW7ZsgaenJ6k3Uw8PD7i5uX1VR5PstVzv3r1RUlKCrl27kvp6Pnv37oWPjw/Ky8vh5+cn9jdRFvHz\n4cMH4lANgHjcVufa6bzipgO+9uzn41ZUv/+9evXChg0bsHbtWsqLSnRy+vRpwlHvxIkTpBz1vtU4\nIHPIS09Px/r168Hj8YjHfMjur+Tl5WHChAnEzR2VkYzLly8jMDCQsIUHyPsGyMnJke4of86+ffsQ\nFhaG+vp61NTUoHfv3qSVQOgYR2qJvLw8LCwsYGFhgX///Rfh4eGkY23fvh1xcXG0jNcMHz4cw4cP\nR0VFBa5cuYJNmzYxYiEXaMUFc2pqKm7cuEHLGxZT5/WYiqSkJKFdzeFwSC1r8HUtd+3aJTDv9PHj\nR9J5JSUl4eeffxY42ZIZyZCWliZm86jafLKIH1tbW0yZMgWTJ08mfYsRGxtLc1bMhs4rbjrgO3c+\nf/4cbm5uxPObNm0i7WbYEikpKUyePJlyHLqgw1Hv48ePSEhI+OL5iooKofP5lhILFehcrD969CgC\nAgIo+TLwLbG7dOmCa9euCSzca2trk4oZGxuLuLg4eHl5YcmSJaTMWfjQMY70Lfr374/ff/+d9Nen\npKTQNl7DR1FRETY2NoQoABNotQWzuro6qqqqKPupA8yd12Mq1tbWCAoKwqhRozBu3DhSIyw8Hg+Z\nmZlwdnbG7t27iettNzc3REREkMrrxo0bpL7uf9FWr9zbE15eXrh9+zZcXFxQV1eH8ePHk9ruby9U\nVlZCX1+ftituOggNDYW/vz8+fvwo8HdOZemMydDhqKerq/tV/WAdHR2hY9GpxHLu3Llvfo6srrCm\npiblHZOWB7GWOVKxxlZTU4OMjAyqqqrQq1cvUqYxdI4jiQo6x2uYTKsrmPlX+CUlJZgyZQqh3Ujl\nCoBp83pMp2vXrpg6dSoAYNq0aaQOLc+ePcOpU6eQmZkJV1dXAM1anGQXIgAgOTkZFy9eFLgpICOX\nU1BQgHPnzoHH4xGP+dAlFM/y39G1a1f88MMPqKiowK1btxAVFcUWzN8gJCQEJ06cgJSUFFxdXYnO\nrrixtraGtbU1AgICCLt6qvALET5knOZEBR2OeqNGjcL06dPFbqzzOUVFRbTHpMOX4XMptIqKCkhI\nSFBqynXr1g0RERHo0KEDfH19SXX3RTWOxFcc45OYmEj6YETneE1DQ4PAOFFFRcUXWtbiotUVzKKw\nwmTavB7TuXDhAjw8PDB06FBMnjwZw4cPF/oqZtKkSZg0aRLu3btHi6Y20DxHZVlZwZQAACAASURB\nVGdnh5iYGOjq6grMswmDqakp8aLe8jFL62T48OHo0aMH7O3tcfLkScpqCJWVlcjJyYGWllabkxq8\ndu0aoqOjUVlZiU2bNjGmYOZjZWWFa9euCSj0CKuh3NJp7tGjRwCaNYDT0tIYUzA7OzsTjnpz5swh\n5aiXkpKCQ4cOYdy4cbC0tCTVWRYFdM0Ht4SO95CXL19i69atCA8Px927d+Hm5gZFRUU4OzuTtob3\n8PBAfn4+TExMcOnSJVL1C93jSE+ePEF6ejqCgoIIM67GxkacOXOGtMU1HeM1RUVFqKys/OLW2dnZ\nmfStM920uoJZXV0dBw4cwMqVKyErK4s7d+7g6dOnWLt2LemYTJvXYzp86bcnT57Ax8cH2dnZX52V\n+x6UlJTg5uZGuSsMNEv4zJw5E/Hx8Vi1ahXpjV9RvKCziI8jR47g/v37iIiIQHR0NEaOHEl6DjM6\nOhoBAQFobGyEiYkJOBwOMY/fFpCRkYGMjAxUVFRIXR+LGjoUekThNEcXny83qaqqory8HJcvXxa6\nOHJzc0NdXR1u3ryJnTt3oqamBvPmzcP06dMhKytLKj86LajpxNTUFOfOnUN6ejp69+6NBQsWCB1j\n9+7d2LlzJ6SlpbF3714cPXqU0AMmWzDn5uYiJiYGXC4XAHD9+nWh31/oHkdSVFREcXEx6urqiGYQ\nh8PBxo0bhY7Fv6U5e/bsFx1vYTv8orh1pptWVzB7e3tDSkqK+OEMHToU8fHx2LlzJ+mhdToladoD\nQUFBePToEUpLS2FoaIhVq1aRjkVXVxho/uNKS0sDl8tFRkYGpQVClrbDkCFD0L17d6irq+PatWu4\ndOkS6YI5KCgI58+fh62tLRwcHDB37tw2VTC3hIk6qHQo9LR0mktISEB2djYGDx5Mi1QaVd6+fUs8\njoyMxMyZMympscjIyGDGjBmYMWMG8vLyEBISgvHjx5NucDB134ffDR41ahQSExPx+++/Y/fu3ULF\naGpqgp6eHgoKCsDlcqGvrw8AlBbZ6JCoo3scSVdXF7q6urCwsEDHjh0p3ZZ9a1yEDKK4daabVlcw\nv3z5UmCmtHPnzti6dSspu9vVq1dj//79Xz3BUDG8aOs8ePAAFRUVmDJlCkaPHk0YmpCBrq4wAGze\nvBlpaWmwsbHBhg0bMHfuXNKxWNoOs2bNgrKyMiZNmoQ9e/ZQkh2UlJSEjIwMOBwOOBxOm1tyEYV8\nGJ3QodDDx8/PD/n5+Xj79i1kZGRw5MgRkYz8CUPL73dycjItS111dXW4ffs2rly5grKyMkq3sXTu\n+zQ2NuLVq1cCXgr8xpWwvHv3DqGhoQCaCy8yB2L+3Oz9+/dhbGwMoFlvvaqqilROAL0SdXSMI7Uk\nOTkZ/v7+lG7LxowZg9LSUpiYmKBDhw7466+/UF9fD1NTU9J5de/eHb/88gsqKipgZmYGHR0dSm6L\ndNLqCuavXSWRfePi6+s+ePAA1dXVkJeXR0FBAWUd37bOsWPHUFtbi0ePHsHT0xOZmZmkDxh0doUv\nXLiAzZs3A8BXt8O/F19fX6xduxaSkpKkY7Awh6CgIJSVlSE7Oxs8Ho9Sx27YsGFwcnJCQUEB3Nzc\nBJZm2gKikA+jEzoUevg8ffoUoaGhsLGxwezZsxEWFkZjptShutT15MkTXL58GQ8fPsT48eOxZs0a\nUgYon+dE177P6tWrUVFRQdh0czgc0gUz/xDVoUMH1NTUkDpIGRsbw8rKCvn5+fD390d2djY8PDxI\n6R2LQqKOTsMwADh58iTl27Ljx4/j7NmzkJaWxpAhQ5CXlwdVVVU8fPiQlNsfAHh6esLb2xu///47\n5s2bBzs7O7ZgJouKisoX253Pnz+n9Mtz8OBB1NXVwcnJCZ6entDX1yccBVm+5MaNG7h37x5evXoF\nfX19Sl70dHaF09PTadmora+vx4IFC+Dj48PaYbcBrl27hps3b+Ljx4+YNWsWsrOzBZZnhMHJyQlx\ncXEYOHAg+vTpQ3q2kanQKR8mCvjqPAB5hR4+jY2NqK2tJTrVdGrIMgFfX19YWlri999/h5ycHC0x\n6dz3KSsrw5kzZ2jJa9GiRTA3N4eOjg7S09NJjQna29tj4sSJUFBQQNeuXZGdnQ1LS0tS+tyikKij\nYxypJXTcll2/fh3Xr19HdXU1pk+fjrt370JKSgrW1taUcuvVqxc4HA5UVFTQsWNHSrHopNUVzJs3\nb4aDgwO6d+8OTU1N5Obm4sOHD9i3bx/pmLGxsURHcv/+/bCysmIL5v/B06dPMXv2bPzxxx+UuyA6\nOjrE9jaVrjDQPP/3008/QUVFhciLTOd78+bNSEpKgpOTEywtLQWWbZgm0cTy/yYyMhKhoaFYvHgx\nfv31V9KHstTUVMTExKCsrAzdunWjZW6P5fsQhTPo4sWLMWfOHJSWlsLCwgK//vorDZlSw8nJCRwO\nh5aRmM875kePHqXU3ACaFWL4hdrEiRMRFRVFOlaPHj2Ql5dHyWyEj5mZGcaOHYv3799DQ0NDaFtm\nPi0X6bS0tKClpUUqjigk6ugcRwKab8vWr19P6basQ4cOkJKSgqKiIrS1tYmxlm+5TH4PSkpKOHv2\nLLhcLiIjIxkjKQe0woKZr2v49OlTFBYWYurUqRgyZAilwo3D4aCurg4yMjKor69n5LILk1iwYAFi\nYmIISSYqm9IBAQE4duyYQAeE7HgHnda2hoaG8PDwwK+//orAwEDiGp+s3SqL+OD/7PivEWQOPdev\nX8fRo0dhZWUFfX195ObmYvXq1Vi9ejUmTZpEd8piJyMjg1EHAv5VsZ+fH/Hz5L9mk2XatGkYOXIk\n3r17Bw0NDUaMYLUcg6F7JOb+/fukC+Y7d+4gKSkJkZGR+OeffwA0L8ndvn1b6JEF/s5QXV0doqOj\noaSkRLrBcfjwYTg4OBAHjZaIc+ZeFBJ1dI4jAf93WzZgwABKt2Utayb+YyqGX15eXggICICysjJe\nvHgBLy8v0rHoptUVzEDz3CvZWaevYWVlBVNTU+jq6iIjI4PyKbyts2HDBto2paOionD//n1alqfo\nMi5paGjAoUOHEBUVhUOHDjH+mprlfzNz5kxYW1sjNzcXy5YtI1XgBgcHIyQkRGCTfPbs2VixYkWb\nLJi3bt3KqJlevspAfHw84RC6dOlSmJmZoWfPnqRi7tixA66urjAwMMD9+/fxxx9/ICYmhs60hUaU\nrzVUGkF6enooLy+HrKwsMYPL4XAwY8YMoWPRuVDPL/KYNm8vCok6OseRgOZRtZkzZ2Ls2LEoLCyE\nnZ0djh07JlSMDx8+wMTEhPjd4j+m0sDMzc3Fhg0bADQfyo4dO8aYG/9WWTDTjYWFBSZOnIicnBxo\namqSvs5pL9C5Ka2hoUHbfB1dEnVz5syBgYEBLl68yKj5KRZyLFy4EMbGxnjz5g20tbVJqbpISUl9\nIbukoKDAiK6kKJCXl4eXlxe0tbWJ2V4muFyGhYUhPDwcABAYGIiFCxeSMm8Amn9+e/bsQXV1NdLS\n0nD06FE6U2UcfC3fiIgI2NraCvW13bt3x+zZs2Fubi4w611YWEg6n89NYqSlpdGtWzesWLECGhoa\n3xVDR0cHdXV1CA4Oxt69e4nupr29PelZYToQhURdfHw8goKCUFtbSzxH5b/xypUr6NixI+rq6uDn\n54fVq1cLHSM2Npb0v/8ttm7dCj8/P3A4HDg7O6Nfv360/xtkYQtmAP/++y9cXFyQn58PNTU1eHl5\nYeDAgeJOi7HQuSnNl6DR1dUlTqVkr9LokqhzcnIi5azFwiw+N4EAmueQU1NThS6yvtUxoXL1yGT4\nVswlJSVizkQQCQkJYj5SWlqaUidr3bp12LVrF969e/fFzGlb49WrVwgJCcHdu3cp3YgcOHAAYWFh\nqK+vR01NDXr37o3IyEhSsXr27AlDQ0MMGzYMycnJuHPnDoYMGYKtW7fi1KlT3xXjwoULCAgIQHFx\nMdHdlJSUpDyuQBVRSNR5e3vDxcWF0D6myoEDB7B8+XLU1tYiLCwMKioqtMSliq+vL5ycnFBTUwMX\nFxfi+8cEWl3BvGXLlm9+ztvbm1TMP/74A56entDT08Pr16/h7u5OepGkPUDnprSlpSVtQ/10SdSN\nHz8eoaGhiIyMRHl5Obp164bp06dj3rx5tOTJ8t/Q0gQCaL6SvnjxIuTk5IQumD9fwOLH+/zfaCs4\nOjqisLBQQPOVCUycOBG//PILDAwM8PLlS1LX25/r7hcXFxPPtSX9/fr6ely/fp1QoqiqqsKtW7co\n2bnHxsYiLi4OXl5eWLJkCdzd3UnHys3NJd6z+/Tpg7/++gsWFha4cuXKd8eYP38+5s+fj4iICEa9\nPtMpUcene/fuGDlyJOXcWs57y8nJISUlBZ6engDEO/fdUk3E0NAQcXFxyM7OJtRKmECrK5hfvHiB\nmpoamJmZYejQobQt6PGvaQcMGEBpw7M9wHdGrKiowI0bNyjNUh0/fpy2WUm6JOoOHDiAoqIieHl5\noUuXLvjw4QNOnDiBwsLCNuvq1hZpWeBmZ2fD2dkZ48ePh4uLi9CxWuoTt4Rps5N04eLiguTkZHC5\nXNTU1EBTUxPnz58Xd1pwcHDAhAkTkJmZiVmzZpEar2lZFLdl/f1JkyZh6tSp8PT0RN++fWFnZ0ep\nWAYANTU1yMjIoKqqCr169aJkn15fX4/79+9j6NChSEpKQkNDA96/f0/YSAuDkZERAgMDGWPZTadE\nHR9VVVW4ubkJaDqTKSQ/f81aunQp6Zw+h4oaCN+mGwA6deqEGTNmCDzHBFqd8ORff/2FQ4cOoba2\nFkeOHEFycjK0tLQwZswY0jElJCRw584dfPr0CbGxsax02Dd4+fIlZs2ahfr6ety4cQNTp07F3Llz\nKc0xKSkp4dSpU4iLi8ODBw8odXh0dHTQt29fFBcXw8fHh7RM1IMHD+Dh4YHevXtDQUEB/fv3h7e3\nNx4+fEg6NxbxERoaCjs7O9jb28PLy4vUi/nw4cO/+b+2SGpqKiIjIzF69GhERkZ+1TBKHPA7dgcP\nHsSBAweQk5NDOtbBgwcREBAAoNks4ciRI3SlyQgWLFiAhIQEHDhwAPHx8bQ0l/gqVR06dICvry8q\nKipIx9q5cyfOnTsHCwsLXLhwAV5eXkhOTv6ft8jfgn84TkpKQk5ODsrLy0nnRRd9+/YlDmFaWlqU\nimWged9HXV0dxcXFKCoqIl1M8l+3Kisr8ejRIwwfPhyBgYECs9HfC501gaOjIxwdHWFqaorevXvD\n0dERNTU1pHcURAKvlZOYmMhbtWoVz8LCgnSMnJwc3qpVq3gzZszgrV69mpeTk0Njhm2HRYsW8V6/\nfs3j8Xi8adOm8V68eMH79OkTz9LSknTMzZs3f/E/shw6dIhnZWXF8/T05FlaWvJOnjxJKs7ChQu/\n+vyiRYtI58by35Ofn89bsmQJb+3atbzy8nJxp9OqWLp0KY/H4/GcnJx4PN63/yb+a2xtbXm3bt3i\nffz4kXfz5k1Kf5OzZ88W+JjK6xiTefjwIW/dunU8IyMjnp+fHy89PZ10rPLycl5OTg7v06dPvODg\nYF5aWhqNmZLHxsaGx+PxiPePBQsWiDMdkcD/W6SLWbNm8SoqKng8Ho9XUVFB6vdfFDWBpaUl759/\n/uHxeM31HZPed1vt7EFlZSVu3ryJa9eugcvlwszMjHSsnj17Ehu2ycnJhFUniyCfb/4OGjQIALXN\nX29vb2RmZiI7Oxv9+/eHuro66Vj37t1DWFgYJCQk0NDQgF9++YVUl/lbi0Q8Vp+7VTFjxgzIyMhg\nxIgRX1zPinNWrzUwaNAgHD9+HOrq6li3bh2pa3JRUFtbi4kTJwJoHjkICgoiHau96O8bGxvD2NgY\n5eXluHz5MtauXYu//vqLVKzly5cTI3Q2NjaU8qJTg5/ORXSmUl9fj9TUVGhra1PSlOcjJSWFTp06\nAWgegSDzPi6KmgAAhgwZAqB51IZJi9WtrmCOiopCVFQUcnNzMWXKFLi7u3+3BM234M945ebm4uXL\nl+jSpQt27dpFU8ZtB1Fs/oaEhBC2xbNnz8a7d+9I2xarqqqCy+WiY8eOqK+vJ731m5SU9MViEADS\nS4Qs4uHw4cPiTqHV4uTkhMrKSsjJySEuLg4GBgbiTglAs531v//+i/79++Pff/+lFOtz/X07Ozua\nsmQOCQkJGDFiBDgcDgoKCqCjo0O6WAb+b4Supdzg114rvwc6NfjpXERnKpmZmQI7NFSNtAwMDLB+\n/XoMGTIEKSkppJTBRFETKCoq4ty5c0ReTJJ25fBa2bFaT08Pffr0IZY9WnYDyXaNrKyscPbsWdjY\n2OD06dNYvHjxd8vatCeOHDmC2NhYYo6wY8eO8PDwgJGREX777TdSMRcsWEDYFp8+fRpz587FhQsX\nhIrBt8stKSkBl8tF//798fbtW3Tu3Pmr0mIsLCxf5+DBg9/8nKOj43+Yydd59eoVXF1dUVhYiK5d\nu2LHjh0YMGAA6XilpaV4//49NDU1GSOrRRfnzp1DREQETp48CQUFBaSmpuL333+HpaUlLCwsSMX8\n2nwxWXUqBwcHHDp0iJI0YHukrKwMnTt3puX7duvWLWRkZKBfv36kFGe+VRP8+OOPWL58OamcSktL\n4e/vj8zMTPTr1w/29vaM+dtsdR1mUYiRNzU14cWLF9DQ0EBdXR2l01FbRhSbvzwabIv9/PxI//ss\nLCz/B99R79atW9DQ0IChoSGeP3+OvLw8MWfWzMCBA4kDdV5eHrp37y50DKbaKdNNREQETp8+TYw8\n6OnpISgoCIsXLyZdMHt7eyM1NRVZWVnEkjVZWmrwA83NL7Lf/8uXLyMwMFDArIpK95WJPH78GO7u\n7mhsbISJiQl69OhB6ud4584dTJgwgZBxU1JSQlFREc6dOye06gadNUF+fj66deuGjx8/Cpihffz4\nkS2YySKKrXRzc3O4u7vDy8sLPj4+jNH8YyItXyC1tLSgpaVFKd6MGTMo2xbzrXFTUlIQGRkpsO27\nfft2SvmxsLQn+JJTN27cIP52zMzMsGTJEjFm9X8cO3YMioqKqKiowMWLFzFmzBihVRX4nbTp06fT\npgHPROTk5L5wUVVQUKB0xe3v74+4uDj88MMPCAoKgomJCWk1omXLlpHO43OOHj2KgIAAUgeo1sKf\nf/6JkJAQrFq1CsuXL8eCBQtIFcx8BRE6JNsyMzMhISGB6upqZGZmAgD69euHzMxMwkL9ezl58iS2\nbNkCNzc34iDLb6iJ07WxJa2uYBYF1tbWsLa2BtCsSdiW/+iYxoIFCzBy5EjCtrhHjx6kYzk7O2PZ\nsmW0vQlevXqV0jIpC0trpby8HNnZ2dDS0kJGRgY+ffok7pQANBfyISEhsLOzQ1RU1Bf2yt8Df5yP\nTg14JiIlJYXy8nJ07tyZeK6srAwNDQ2kY969e5fyYjW/w8kvsFpCtiGmqamJXr16kfra1oKEhAQx\niiErK0v64DN79mwAzcUu1RuVb+0bkSly+QffcePGMXafgC2YQU/XgkU4ioqKUFlZCWdnZ+zevRt6\nenpoamrC0qVLERERQSpmr169MGfOHNpyPH/+PFsws7RLtm7dipUrV6K0tBRdu3ZlzE2NhIQEiouL\nidGRmpoa0rHoXGBjIitWrMDSpUsxd+5caGhoIC8vD+fPn8e6detIx6RjsZrODicfOTk52NnZYcCA\nAUR30snJibb4TEBLSwu+vr4oLy/HkSNHKDWXAHpUN0RhKR8XF4clS5ZAUlKS9thUaXVLf6Jg/vz5\nRNciODiYWP5jER23bt3CqVOnkJqaSnR8JCQkMHToUKxdu5ZUzEuXLiEuLk5gbITKotL8+fNRV1cn\n8IbalmYcWVi+xfHjx2FrayvuNL5g7969uHbtGnx8fBAdHQ0lJSWsXLmSVCw6F9iYyrt373D58mUU\nFhaiR48eMDMzg6amptBx6F6sLi0tJYrtu3fvQkZGhpLtc0RExBcFFr+T2lZoaGhAeHg43rx5gz59\n+sDKygrS0tKk45mamgrsa1FV3aALU1NTlJSUQENDg9hvOnv2rLjTAsAWzACa5/b8/PywZ88e+Pn5\nYf78+YywgW0P3Lt3D+PGjaMl1rx58zBlyhSBkQwq1sWJiYlfPNdWnd1YWFqyaNEinDx5kpFdHj71\n9fWkC4aWowpFRUWQlJRkzGKRKImLi0NoaCgCAwOF+roPHz5883P8HZLv5a+//sL+/fsRFRWFwMBA\n3L9/H2pqahg0aBBWrFghVCw+S5cuxYkTJ0h9bWvBw8NDYARi06ZN2L17N+W4DQ0NhDwcE/ja75qw\nv2OigjnfJTHy008/wcbGBj4+PvDy8sL48ePFnVK7QV1dHdu3bxdY1CPb5encuTPs7e1pySs1NRUJ\nCQkoKytDt27dYGJigt69e9MSm4WF6ZSVlWHMmDGM6/JcvXoVkpKSqKurg4+PD2xtbYXuhCcmJsLZ\n2RmXL1+GkpIS/v33X7i6usLHxwc//vijiDIXH58+fcKFCxcQFhaGbt26kVoU4xcsX5MdFPYWLzQ0\nFFeuXIG0tDTOnj2LixcvokuXLrCysiJdMCsqKuLWrVsCt4HCLp0xldDQUPj7+6O8vBw3btwgnier\nUJKfn4+1a9ciMDAQSkpKuH79Ok6fPo0DBw4QVt7ioL6+HgcOHMDKlSshKyuLO3fu4OnTp6RvnEUB\nWzADWLduHTHXpa+vj5s3b4o5o/bD5s2bsXDhQnTr1o1yLGVlZbi5uWHgwIHETBYZxZPr16/j6NGj\nsLKygr6+PnJzc7F69WqsXr2alIoHC0trIyAgQNwpfJXg4GAcPXoUTk5OuHv3LpYuXSp0wfznn3/i\n9OnTUFJSAtA8t3zixAls3boVZ86cEUXaYiE1NRUhISFITEzE1KlToaamRtlfgD87zuPx8OrVK1Iu\nbLKyspCXl0d6ejpUVFQId1cq7nAlJSUC/21MUlagCl+UICAggLS2cUu2bdsGOzs74vff1NQUUlJS\n2LZtG+m/+5ayfnxlC2HHO7y9vSElJUW8dw8dOhTx8fHYuXMnfv/9d1J50Q1bMP//FBYW4uzZs7hw\n4QL09PQwY8YMcafULujSpQtpTdDP4W9JFxcXU4oTHByMkJAQyMvLE8/Nnj0bK1asYAtmlnZBQ0MD\noqOjUV9fD6D59fFze3FxwJdJ69ixI2RkZEgpPkhKSn7hDtuyM9lWmDdvHmxtbXHt2jXIyMjQIuP2\n+YgbGTUDDoeDyspKxMTEYOzYsQCaC14q6h2nT5/Gp0+f8OHDB2hqajLKHY4uFi5ciKioKAGt6Vmz\nZgkdp6qq6ov3sWnTplE6YNAh6/fy5UtCGxpovjHeunUrbfUBHbT7gjkxMREhISF4/fo1JCQkcPbs\nWVZW7j+kZ8+eOHLkiMB2M9lNdUdHRxQWFqKhoQE8Hg+FhYWk4khJSQkUy0CzfimT5zlZWOhk/fr1\nmDx5MpKSkqCuro7q6mpxpwSgWT7M0tISW7ZswcGDB9G/f3+hY/B4PDQ1NQkUyI2NjcThoK0QHByM\n8PBwmJqawsTEBFwul3LMllJwRUVFyM3NFTrGkiVLYGpqCkVFRZw4cQIpKSlYu3YtXF1dSecVExMD\nf39/wtSDw+EI2Ei3BRwcHKCurk7UJ2Sd/r61tkZlnY0OWT9ZWdkvnuNwOLRYp9NFuy6Y58yZQ2yb\njhgxAvb29myx/B9TX1+PzMxMgRdisgWzi4sLkpOTweVyUVNTA01NTVLLm996ISJz/cjC0hqRl5fH\nb7/9hqysLHh7ews4b4kTb29vVFVVoWPHjtDX10dOTo7QMczMzODk5ITly5dDQ0MD+fn5OHz4MKZN\nmyaCjMWHoaEhDA0NUVlZiWvXroHL5cLKygrm5uZYsGABqZgtl85kZWXh7OwsdIxx48bhzp07xMfS\n0tI4f/48Me5BhpMnT+L8+fOwtbWFg4MD5s6d2+YKZh6Phz179lCOY2BggODgYAEN89OnT5M6fPKh\nQ9ZPRUUFz58/xw8//EA89/z5c7ZgZgoGBgZISkpCXFwcunbtynraiwE6ZZxSU1MRGRkJNzc3rFu3\nDmvWrCEVJz09HevXrxd4jsfj4e3bt3SkycLCeDgcDoqKilBVVYXq6mrGdJiB5gLrwoULCA0NRV1d\nHa5duybU18+fPx8KCgrw8vJCYWEhevbsiblz52L69Okiyli8KCgowMrKClZWVnj16hXCw8NJx+LL\nrVZUVEBCQgIKCgqU86PDaEpSUhIyMjLEgiqTiiy66N+/P549e4YBAwYQzwmrmww072x5enpizJgx\nUFNTQ0VFBUaPHk3Je4IOpavNmzfDwcEB3bt3h6amJnJzc/Hhwwfs27ePcmy6aPeycjU1Nbh+/TrC\nw8ORlpaGdevWYfr06QLuSCz087+6yA8ePCAV09bWFsePH8f69evh6+tLWk/7a3JyfFhZOZb2wOPH\nj5GWloauXbvC1dUV5ubmpLqJdJKTk4PQ0FBcv34dPB4Pe/fuhaGhoVhzai+8fPkSW7duRXh4OO7e\nvQs3NzcoKirC2dmZsBoXJ35+fvjw4QNevHiBn376CfLy8ti8ebO406IVMzMzVFZWEh9T1U2ur69H\neXk5lJWVKcvKNTQ04Ny5c0hPT0fv3r2xYMECUsV8U1MTnj59SuiGDxkyhFGNzHZfMLfk7du3iIiI\nQGRkJOLi4sSdDouQ+Pn5QUlJCcXFxcjPz8f79+9JuwaysLDQ20mkwvLly1FZWQlzc3NMmzYNa9eu\nxbFjx8SaU3ti8eLF2LJlC/T09DB9+nTs3r0bvXv3hp2dHSPkBoFmjWm+qQcTivj2hIuLCxQVFfHj\njz8iMTER5eXltGhEM412PZLxOX379oWzs3Obs9RsLzg5OaGyshJycnKIi4uDgYGBuFNiYWlVtOwk\n3rlzB9u2bWNMJ1FSUhI1NTVoampiVNeJ6bx+/VrgGp8MTU1N0NPTQ0FB0y/7vgAAIABJREFUAbhc\nLvT19QFQk4KLj4/HyZMnBVQfhFVqaGxsRGNjI5ycnLB3716MGDECTU1NWLRoUZuRlXNycvrm7ztT\nnGffvXuH0NBQAMCkSZMoGYYxGbZg/gpU7CZZ/nu+JqYPAK9evaJkjc3C0t7YvXs3du7cCWlpafz5\n5584duwYevXqBTs7O7EWzAEBAcjLy8OFCxdgYWGB6upqxMXFYfTo0aSLtsbGRrx69Qo1NTXEc0ZG\nRnSlzBj8/f1RWFgIc3NzmJqakrot4F/Z379/H8bGxgCar/RbWisLi7e3N1xcXChp8F+4cAEBAQEo\nLi6GiYkJeDweJCUlMWzYMNIxmcZ/VXxScc6sra0Fl8tFhw4dUFNTg8bGRpqzYwZswczS6uFvV9+6\ndQsaGhowNDTE8+fPkZeXJ+bMWFhaF593EgcNGgSAWieRLrp37w5HR0esXLkS9+/fR0REBNzc3HD3\n7l1S8VavXo2KigqoqakBaJ4JbYsF8/79+1FWVoarV69i5cqVhNufMK6GxsbGsLKyQn5+Pvz9/ZGd\nnQ0PDw9Ki5Ldu3fHyJEjSX890LzAOX/+fERERGDevHmUYjEVUe3NhIWFISgoiJBhlZKSEnASFIZF\nixbB3NwcOjo6SE9Px6pVq0jnlZycjIsXLwpowB8/fpx0PDpp1wXz59c5PB4PPB4Py5YtazPXOUzl\n8OHDcHBw+Op1k7DXTPwT+I0bN7B9+3YAzQsSS5YsoSVXFpb2gig6iXTD4XAwduxYjB07FiUlJaTj\nlJWVtSlnv/9FRUUFSktLUVFRgT59+uDq1asIDw/Hrl27vuvr7e3tMXHiRCgoKKBr167Izs6GpaUl\nJk+eTDonVVVVWpxZAWDUqFE4evQoamtriefY28X/zZkzZ3D69Gn4+/vDxMSEkgukmZkZxo4di/fv\n30NDQwPKysqkY23fvh12dnaIiYmBrq6uwMiOuGnXBXPL65ypU6cCaO6kCHPyZiEH/3qXzuum8vJy\nZGdnQ0tLCxkZGfj06RNtsVlY2gOi6CSKElVVVdJf26NHD+Tl5bV57X0rKytISEhg/vz5WLFiBeGW\nuHjxYqHi9O3bl3ispaUFLS0tSnnx3RapOrMCwJo1a2BsbNzmf5Z0oq6uDnV1dVRVVeGnn3765mjj\n/4LOxhcfZWVlzJw5E/Hx8Vi1ahUWLlxIKo4oaNcFc3u4zmEqenp6AJrftGJiYgRcqMheQbm4uGDl\nypUoKSlBt27diG4zCwvL9yGKTiLT4Eta1tXVITo6WkBClKykJZPx9PQUKHb5UOko0gFdzqxAs1X6\nunXraMyOOdy5cwcTJkwQsI3mQ7YjDwCdOnXCrVu3wOFwcPbsWZSXlwsdQxSNLwkJCaSlpYHL5SIj\nIwMfP36kLTZVWFk5APn5+dizZw9KS0thYmKC/v37Y/DgweJOq11gaWmJMWPGCLg8tdUNWxYWFmp4\neHgIuM1t2rSpTcpX0cGSJUu+qa5w4sSJ/zibL6HLmRUAvLy8MHjwYAGnOW1tbTrTFRuXLl3C7Nmz\nv9oBpjJ2UllZiezsbKiqquLkyZOYMGECfvrpJ6FifG2stampCfb29qTHWtPS0ggNeE9PT5iZmeHX\nX38lFYtu2nWHmY+bmxuWLFmCw4cP48cff8TmzZtJ/+GyCIecnBzlWbPVq1dj//79XzVDaYsdIxaW\n9kZoaCj8/f1RXl5OLCbxeDz069ePdMyHDx8S3c0dO3ZgzZo1MDU1pStlsePi4gKg+dr8559/hqGh\nIVJSUhjjMUCXMyvQLJ33+vVr4mMOh9Nm9pBmz54NgN6OPND8vsk/OJE1eRGFSsmFCxeIfC5evEg6\njihgC2Y0u/0ZGxvD398fffr0gaysrLhTavNkZmYCaFa4uHbtmsDih7Cdgf379wNgi2MWlraKtbU1\nrK2tERAQgOXLl9MSc+/evfD19YW7uzvCwsKwdu3aNlUw6+joAGhebuT/d/Xs2ZMxRiPKysrgcDio\nrq6GiooKpVhkHF1bG3R25IFmS/Jbt25BW1ubUMER9r1XFGOt6enpqKiooMUynW7YghmArKws7t+/\nj6amJiQnJ5OydGQRjpbXqi1ns6h0Bu7evYuwsDCBeei20mVgYWEBFi5ciD///BMFBQWYMGEC+vfv\nj169epGKJScnB1VVVUhJSUFNTa3NmqE0NTXh0qVLMDAwQFJSEiQlJcWdEgBg0KBBOH78ONTV1bFu\n3ToBPezvxdLS8ps/N6YcDOiCzo48AJSUlAjMsVN57zUyMkJgYKCAFJyHhwepWG/fvsWIESOIAxXA\nnGYYWzAD2LFjB3bt2oWysjKcOHEC7u7u4k6pzSOKjsC+ffuwZcsWgXloFhaWtoOLiwvGjh2LxMRE\ndOnSBVu3bkVISAipWAoKCrCzs4OlpSVCQ0MpdzmZio+PDw4fPozLly9DR0cHe/bsEXdKAJpHDOrr\n6yErK0vamdXPz08EmTETOjvyALB06VJMmDCB+DgqKop0rPXr12Py5MlISkqCuro6qqurScc6c+aM\ngNrJ27dvSceiG7Zg/v/Zu3cv8TgyMpKQvGERDT///LNAZ0BKSgoNDQ2QlZUl/YerpKQkMpF3FhYW\n8VNeXo558+bh6tWrMDQ0RFNTE+lY+/btQ3Z2Nvr164c3b97AwsKCxkzFT0FBAfHYwcGBeMzvAoqb\nuXPnYsSIEbCwsCDtItmzZ0+as2IudHTkgWbVjaSkJERGRuKff/4B0HwLcfv2bdLykfLy8vjtt9+Q\nlZUFb29v/PLLL0LHePPmDQoKCrBnzx5s2rSJWCD09fXFlStXSOVFN2zBjGYNx4CAAEhJSWH79u34\n+PEjZsyYIe602jTR0dHg8Xhwd3eHlZUVDAwM8OrVK1JGAvyRDmlpabi6umLQoEGUhfBZWFiYCb/j\nlJ+fT2m8oKysDAEBAYQ6EpfLbVPqSA4ODuBwOPj48SOqqqrQr18/ZGRkQFVVlREFyJUrV3D//n0c\nPHgQZWVlMDMzw/Tp09GxY0dxp8ZInJycUFVVBTk5Ody7d49URx5olnQtLy+HrKwsMbPM4XAo1Twc\nDgdFRUWoqqpCdXU1qQ5zRUUFoqKiUFJSgmvXrhFxyRTfooKVlQOQkpICb29vVFZWYvHixawm83+I\njY2NwHiGtbU1QkNDhYrxvwTXWbcnFpa2w5s3b+Dq6oq3b9+iT58+2L59OwYOHEgqlr29PaGO5O7u\n3mbVkVatWgUvLy906tQJVVVV2LBhA/z9/cWdFoBmpZO4uDhERETg3bt3kJeXx8yZMymbVRQUFKBr\n1640ZckM3r9/j927dyMrKws6OjrYuHEjJaOWpqYmlJeXC3Sqe/ToQSrW48ePCSk4V1dXmJubw9nZ\nmVSsly9fYtCgQaS+VtS06w5zy0FyY2NjPHz4EN26dcODBw++KlHGQj+dOnXCn3/+CQMDA/zzzz9Q\nU1MTOoajoyPevn1LiPNnZ2ejpqYGurq6dKfLwsIiRnr06CGwJJyUlEQ6VntRR8rLy0OnTp0ANBt8\nUJUjo4vdu3fj9u3bGD58OJYtWwYDAwM0NTVhzpw5pAvmR48eITQ0FElJSYiPj6c5Y/Hi4uICOzs7\nGBoa4vHjx3BxccHJkydJx9u+fTsePnyILl26gMfjEQYmZDAyMoKRkREAYOLEiaRzApoL5k2bNgkU\n8rdv36YUky7adcEcGRkp8LG2tjbxHFsw/zfs2bMHZ8+exd27d9GvXz+sWrVK6BgxMTHw8/NDREQE\nOnXqhOLiYmzZsgUbN27EpEmTRJA1CwuLOFi5ciWOHDkCSUlJ7Nu3Dw8ePMClS5dIxWov6kgjRozA\n4sWLoa+vj5SUFIFFL3HSu3dvXLx4UWAEQ0JCQmiL5urqaly6dAlhYWEoKiqCq6sraVtmJiMpKYlx\n48YBaN4BourUmJqaips3b1JShxGFB8LZs2dx5MgRUs0zUcOOZAAoLS3F69evMWrUKISEhMDMzIyR\nGoBtER6Ph+fPn6O2tpZ4jn9S/V4sLS0RGBgoYHFbUlKCFStWtMkrVhaW9kpsbCxCQ0NRUVGB0aNH\nw8HBAdLS0qRi5efnY9euXXjz5g369u2LjRs3QlNTk+aMmcGzZ8+QlZWFvn37Ql9fX9zpAACysrIQ\nExNDSYpsx44dePToESZNmoTZs2fjjz/+wLFjx0SRrtjgF56hoaEwNDSEkZERUlJS8OzZM0oHA0dH\nR+zcuRMKCgq05FldXQ15eXnK4zC2trY4fvw4LTnRTbvuMPNZv349Fi1aBKBZaWHjxo0IDAwUc1bt\ng1WrVqG0tBTdu3cnroWELZhlZGQEimUAUFVVbbNXrCws7Q2+0ZG2tjaGDx+OR48ewczMDDk5OaQt\nkLt16yagjtRWKSwsRFhYGEpKSjBlyhTweDz88MMP4k4LGzZsoCxF9vTpUwwaNAiDBw+GlpZWm9TS\n5t96d+7cGRkZGcjIyAAA0jcifO1q/u8D/5BIZSTj4MGDqKurg5OTEzw9PaGvrw97e3uhYvAlAuvq\n6mBraytgZubk5EQqL7phC2YAXC6XuKYyNTVlu5L/IcXFxZQF5jkcDmpqaiAnJ0c8x+VyGSOfxMLC\nQo2WRkd8tm3bBkB4cyL+9XF9fT24XC66d++OgoICqKioIDY2lnqyDMPV1RU2NjYIDAzE0KFDsXXr\nVoE5cHFBhxTZ5cuXkZSUhPDwcOzcuRM8Hk9gn6Ut4O3tTWs8UWhXx8bGEjbW+/fvh5WVldAFM//g\nS/YA/F/AFsxoliOLj4/H4MGD8fz5c8Y4IbUHtLW1KV/hLFq0CMuWLcPixYuhqamJ/Px8HDt2jPKm\nNQsLCzPgK+nU1tbi7du3GDhwIG7dukXMdAoD/4p7w4YNWL9+PVEw012YMIWamhqMHj0aR44cQb9+\n/UiPsNANHVJkAGBoaAhDQ0NUVlbi6tWr2LhxIwAQBVxboeWccHl5OTQ1NXH9+nWh4/C1q1NTU8Hl\nciEhIQE/Pz8sX76ctK41h8NBXV0dZGRkUF9fDzKTvrNnzwbQPNpRUVEBSUlJnD9/HrNmzSKVkyhg\nC2YAf/zxB3bt2oU//vgD/fr1I23pyCI8SUlJmDBhgoBzkbDLApMmTYKqqirOnz+PwsJC9OzZE+vX\nr8eQIUPoTpeFhUWMbNy4EePGjcPAgQORmZmJ69evk57jzMnJIWS5unbtiry8PDpTZQzS0tJISEgg\n9kWYMqrm6OiIW7duwdzcHJMmTYK5uTmpOI2NjZCUlISCggLMzc1hYWGBtLQ0mrMVPy3fFz98+CD0\ncuTnbN++Ha6urjhw4ADWrVsHHx8fGBsbk4plZWUFU1NT6OrqIiMjA8uWLSOd1+rVq7FgwQLExMSg\nX79+cHNzY8xMc7sumBsaGiAlJYXu3bvjzz//FHc67ZKYmBha4gwdOhRDhw6lJRYLCwszKSgowNy5\ncwEAy5Ytg42NDelY/EU/vqQlU7VfqeLh4YGdO3eisLAQ/v7+2L59u7hTAtDsf2BrawuAvBTZmzdv\nsHLlSkREREBJSQkJCQnYuXMnAgIC6EyVcfTs2ZOYZSaLjIwMdHR0UF9fjyFDhkBCQoJ0LAsLC0yc\nOBE5OTnQ1NSEsrIy6Vg1NTWECsju3bvx8OFD0rHopl0XzM7OzvD19YWJiQkxXM5fPGOK7l9bJzk5\nGRcvXhTYlGbKaZKFhYVZcDgcZGZmQltbG9nZ2ZSssXfs2IGbN28iKysL06dPb7MSlD169MD+/fuJ\nj+Pj4xmhBnLv3j38+uuvlEYgPT094efnByUlJQDNt40qKir4448/EBQURFOmzMDJyYmoUwoLC6Gq\nqkopHofDwaZNmzB27FhERUVRGtX5999/4eLigvz8fKipqcHLy4u0oVB9fT1OnTqFQYMGIT09HVwu\nl3RedMPKyqHZopPsdRALNWbNmgU7OzvExMRAV1cXWVlZbVJDk4WFhTrPnj3Dtm3bUFxcDHV1dbi7\nu5NWfCgvL8eDBw/Q0NAAHo+HwsJC/PbbbzRnLD4uX74MX19fyMvLY9++fdDQ0MC2bduQmpr6hQeB\nODA1NUVJSQk0NDTA4XBIqTR87hTLh4xjLNNJTEwkHsvKykJfX5/SYaO0tBTPnz/H2LFj8ffff0NP\nT+8LtanvxcbGBlu3boWenh5ev34Nd3d30sv8T58+xe3bt7F8+XJcvXoVBgYGpG3A6aZdd5j5hIeH\nswWzmFBWVsbMmTMRHx+PVatW0bKoV1lZSQjZR0VF0ZAlCwsLExg8eDAuX75MSyxHR0f06dMHb968\ngaysLDp06EBLXKZw/PhxXL16FYWFhdizZw+KioowduxYxiw30jE28a0bhoaGBsqxmURqaioSEhJQ\nVlaGbt26wcTEhLI4gYSEBD59+oQrV66Ax+Ph2bNnlA6Menp6AIABAwZASop8aTls2DBoamqisrIS\nEyZMYIwzJcAWzACadf9mzZoFbW1t4qTLdjn/GyQkJJCWlgYul4uMjAx8/PiRdKz09HSEhIQgOjoa\nU6ZMwc6dO2nMlIWFRVyIwlGMx+PBw8MDW7ZsgaenJylZMybTuXNnKCsrQ1lZGenp6XB1dcXPP/8s\n7rQIGhoaEB0dTcm4ZOzYsdi1axccHBzQqVMnVFVV4eDBgxgxYoQoUhYL169fx9GjR2FlZQV9fX3k\n5uZi9erVWL16NaUxIjoPjBISErhz5w5+/PFHPH78mJJrpouLC5KTk8HlcsHlcqGlpcUYqV+2YEaz\nvBCLeNi8eTPS0tJgY2ODDRs2EAs9whATE4PQ0FDU19djzpw5yMzMZJVOWFjaEPwZXCqb/J8jKSmJ\n2tpacLlccDgcNDY20hKXKbQ08ejRowejimWg2TCMqnGJvb09jh49itmzZ6OmpgZKSkowNzeHnZ2d\nCDIWD8HBwQgJCYG8vDzx3OzZs7FixQpKBTOdB0YvLy/s2rULvr6+6Nu3L3bs2EE6Fn9kyM3NDevW\nrcOaNWtIx6Kbdl8wnzt3DnPnzoWUlBSePHmCtLQ0LFiwQNxptRt0dHSgqKiIxsZGHDp0iJB5EgZn\nZ2csWrQIS5YsgbKyMm7cuCGCTFlYWMTNwYMHaSuYra2tcerUKYwaNQrjxo3DsGHDaInLFD5+/IhH\njx6Bx+OhqqoKCQkJxOfo+h5SgQ7jEg6HA3t7e6FNMloTUlJSAsUyACgoKFAeyaDzwNizZ0/s3bsX\nPB4PycnJUFNTIx1LWVkZHA4H1dXVAnKzTKBdF8wHDhxAWloazMzMICUlhW7duiEoKAilpaVYuXKl\nuNNr06Snp8PDwwPBwcFYvHgxlJSUUFBQABcXF0yZMkWoWDdu3MDFixdhbW0NXV1dlJWViShrFhYW\nccLhcLBy5Upoa2sTMlhkbXNra2uJQmvatGlQUFCgLU8moKuriwsXLgBobkzwjTw4HA4jCmY6jEve\nv3+PnTt3Yt++fUhOTsaaNWsgLy+P3bt3txmZ0W/ZfVNRiAHoPTB6enqib9++yM3NxcuXL9GlSxfs\n2rWLVKxBgwbh+PHjUFdXx7p161BTU0M6L7pp1yoZFhYWOH/+vMAvZH19PaysrIgXGhbRsHz5cqxc\nuRI//PADsen87t07/P7771/dev5eEhIScP78eTx79gxTp06Fs7MzjVmzsLCIk0uXLn3xHN8hTFgW\nLlyIkJAQqimxkOTx48dIS0tD165d4erqCnNzc6Ffr+3t7WFpaYmJEydi7ty5cHJyQr9+/bBhwwZK\n7yNMYuTIkV8ccHg8Hv7++2/Ex8eTjnv16lWYmZkBaF6Up3JgtLKywtmzZ4n38sWLF+PUqVOkYmVk\nZEBdXR1ycnKIi4uDgYEBunTpQjo3OmnXHWZ5efkvTm/S0tLo2LGjmDJqP3C5XEIOqlOnTgCAXr16\nUd5uNjY2hrGxMcrKynDlyhXKebKwsDCDBw8eYNasWeBwOHj9+jWh+kCWlsve/G41u+z932FkZAQj\nIyMA5I1LqqurMXHiRJSVlSE/Px+jRo0CQL37yiS+ZapmZWVFKe758+eJgpnq7UpTUxNevHgBDQ0N\n1NXVoaqqinSsrVu3IiwsDAAYN3ffrgtmOTk5vH//XkDE/f3799+8AmGhj9raWuLx4cOHicdk5Gi2\nbNlCS04sLCzM5MyZM7h69SqGDBkCBQUFcDgcHDp0CHl5ebC0tCQVk132Fg82NjZffY/lcDhCdyX5\nNt8JCQmEMgaPx8OnT5+oJ8oQhg8fLpK4dB4Yzc3N4e7uDi8vL/j4+JD+mwSaG5leXl4CeVGJRyft\numDesGEDHBwcYGxsDE1NTeTm5uLBgwekZ29Yvh91dXWkpKQICJKnpKSQWhZ48eIFampqYGZmhqFD\nh6IdTxmxsLRJLl26hJCQEKJA0tPTw4kTJ7Bo0SKh30yLiopw4sQJyMvLw9bW9ouFqrZIaWkpId9W\nUFAgViMId3d3gY9TU1Ph5eWFmTNnCh1LR0cHTk5OePnyJXbs2IHCwkLs37+/TcnKiQo6D4zW1taw\ntrYGACxdupTU8j4f/ux5SUkJLbnRSbueYQaAT58+4fbt2ygsLESPHj0wfvz4Nrf8wUTev38PBwcH\njBgxAr169cL79++RkJCAgIAA9OjRQ+h4b968wdWrV5GSkgIjIyOYmZmhV69eIsichYXlv+Zbjm6L\nFi1CcHCwULFsbW0xadIkfPz4EQUFBdi2bRtdaTISV1dXJCYmoqamBjU1NdDU1ERERIS40wKPx8OR\nI0dw+fJluLu7k+qk8ng8xMXFQUVFBT/88AP+/fdfJCQkwMbGhrKKRFuHTqfLY8eOQVFRERUVFbh4\n8SLGjBlD+uY3Nzf3i+fI1ASioF13mIHm+dlZs2aJO412h6amJsLDwxEbG4ucnBzo6+sTG85k0NXV\nJU7Mjx8/hq+vL/Lz8xkjeM7CwkIeaWlplJaWCshMlZaWkpLCqq+vJ6RDf/31V7pSZCwvX75EdHQ0\ntm3bhrVr1zJC1zYrKwubN2+Grq4uIiIiSO8NZWVlQUtLCwCQmZkJWVlZzJkzhy2WvwM6jUtu3LiB\nkJAQ2NnZISoqCjY2NqRjrVu3DhwOB01NTcjJyUGvXr2ImWZx0+4LZhbxIScnh+nTp9MWr7KyEjdv\n3sS1a9fA5XKJhQYWFpbWjYODA2xtbTFr1ixoamoiLy8PERER2Lhxo9CxWs7PtqXlsG/BNF3b06dP\nIygoCFu2bCGWNuvq6gBAaIc4Nzc3cDgcgTG8srIymJiYwNHRkb6k2yB0GpdISEiguLiYULNouaMk\nLOfOnSMeV1RUwNXVlXQsumELZpZWT1RUFKKiopCbm4spU6bA3d0dGhoa4k6LhYWFJn788Ufs378f\nV65cwd27d9GzZ08cPHgQPXv2FDoWl8tFVlYWmpqaUFNTg6ysLKLg0tbWpjt1saOnp4egoCB06dIF\nGzZsAJfLFWs+J0+eBNDsDuft7Q2guXjjcDi4ffu2ULG+NqbT1NSE+fPnswXz/wM6jUt++ukn2NjY\nwMfHB15eXhg/fjwtOXbq1Anv37+nJRYdtPsZZqB5nnb37t3IysqCjo4ONm7cSGloneX7aWhoIKWM\n0RI9PT306dMHenp6AAQ7SKxMFAsLS0u+dV3M4XCEnoduDbx79w4qKiqQk5PD3bt3MXjwYKirq4s7\nLZHQ2NiIp0+fYteuXayXwv+DmJgYZGVlQUVFBQcOHMCwYcOwd+9eynHr6upw8+ZNzJgxg9TXW1pa\nErcGpaWlMDY2hoeHB+W86IAtmNH8AmpnZwdDQ0M8fvwYp0+fJk7BLKJl2rRpmDBhAiwsLEh3dxIT\nE7/5OVFJ8rCwsLC0BhYsWMCYGVBRU11djc2bN2Pp0qUYMmSIuNNpNVA1LgGAwsJCnD17FhcuXICe\nnh4CAwNJxfnw4QPxWFZWljGmJQBbMANoXvwICgoiPqbiUsMiHHV1dYiNjcWlS5dQW1uLOXPmsLPH\nLCwsLDRha2sLXV1d9OnTh7h9mzdvnpizYhE34eHhCAoKErCeFnYkBmhuWIWEhOD169eQkJBAUFAQ\npRv6d+/eITo6mpBBLCwsZEyHuV3PMD948AAA0KFDBxw9ehRGRkZISUlh1ImmrSMjIwMTExN06dIF\nwcHB8Pf3ZwtmFhaWr0KnFFZ7ge+oyu/cMcWY6/jx47C1tRV3Gu2WsLAwHDlyhJT3AZ85c+agT58+\nsLKywogRI2Bvb095nHX9+vWYPHkykpKSoK6ujurqakrx6KRdF8yRkZEAgM6dOyMjIwMZGRkAhN/U\nZSHPwYMHER0djYEDB8LGxoawSmVhYWH5HDqksPiKDF+jLb72r1279gvjEiZw7949/Prrr6wE3P/X\n3p0HRXWlbQB/mqVBQsAtCG4gKlJqsJKoSbuUghsSRJAoHcEw1mAyKqOfKCouBFwjikvpqDFGzaio\noKJREYeoE9BxzYwaV0QUcGFRUAKyNNDfHxQ9GpUMTeNpbj+/qlQ1feXUQ1ra954+5z2CNGvWTKtN\nsy9ycXHBv//9byQnJ6NVq1Y6uRmzsLDAV199hXv37mHp0qX16t6hawZdMNfs0P293Nzct5zEcFlb\nWyMmJgZWVlaioxCRntNFKyx3d/dXWpEB0KpLQ2OgrweXFBQUoH///mjbti1kMhlkMhl2794tOpbk\nrVy5EkD1jeOf//xndO3aVVPohoSE1GmsiIgIlJaW4ujRo5g/fz5u376NmJgYeHh4oGnTplrlk8lk\nyMvLQ3FxMZ4/f84ZZn2zZs0a7Nq1CyqVCqWlpXBwcNDMPlPDiIuLw+jRo5Gbm4vNmze/dK2uv7RE\nZBh00QrrxIkTDZBMf+njwSUAsHHjRtERDFLN5npdtVA0NzeHj48PfHx8cOfOHezduxdeXl5ITk7W\narzg4GAkJSVh5MiRGDx4MEaOHKmTnLrAghnVb6DJyclYsmQJxo8f/8pZ96R7tra2AABHR0fBSYio\nsfD398e2bdvQt29fDBgwAB999JHWYx0/fhwxMTFQqVRQq9V4+vQokhlnAAAbdklEQVQpDh06pMO0\n+kHfDi6pYWJiguXLlyM/Px/u7u7o0qVLvZcI0B/z8fEBUN3S9ddff31pP0B9dezYEbNmzarXpFev\nXr3Qq1cvFBYW4h//+Ee9u3foEgtmAO+99x7kcjmKi4thb2+vWetFDafm45rXbTg4d+4cunbtinff\nffdtxyIiPTZs2DDN4+HDh9frH9PVq1djwYIF2L17Nz7++GOcPn1aFxH1zu8PLtGXj7jnz5+P8ePH\nY/369ejZsydmz56N2NhY0bEMRnBwMFQqFXJzc1FZWQkbGxt4enrqZGxTU9M6f8+1a9cwd+5cxMXF\n4eTJk/j6669hZWWFWbNmwc3NTSe56osFM6pnO/fu3YsmTZogOjoahYWFoiNJ3tmzZ/H++++/dumL\nSqVCeno69u/fLyAZEekrXbXCAgAbGxt88MEH2L17N0aNGoX4+HhdxdQroaGhKCoqgpmZGf75z3/q\nTX/i0tJSKBQKbNiwAY6OjjAzMxMdyaAUFBRgz549mDt3rubmRaSoqCh88803MDU1xerVq7F582bY\n29sjKCiIBbM+WbBgAR49egR3d3fEx8drFsVTw5kwYQKAVzde5ubmwsbGBps2bRIRi4j0mC5aYdUw\nNTXFhQsXUFFRgZSUFBQUFOggof65du0aDhw4oLnJSE5OxsKFCwWnqj6UIiUlBVVVVbh06ZIkO5To\nM3NzcwDVR8Wbm5tr1eGisrISlZWVCAkJwapVq6BWq6FWqzFhwoQ6n5pZVVUFZ2dn5OTkoKSkBN26\ndQMAGBkZ1TlXQzHogvnkyZNwdXVFXFyc5jm5XI6LFy/i8uXL6NmzJ9q3by8wofS9acPll19+KToa\nEekZXbTCqhEZGYn09HRMnDgRa9aswaRJk3Qyrr4JDw+HUqnUyU2GLi1cuBDLli1DQUEBtmzZgoiI\nCNGRDMrQoUOxbt06ODs7Y8yYMbCwsKjzGPv27cPGjRvx+PFjzXIpIyMj9OzZs85jmZhUl6MpKSlQ\nKBQAqj9tLi4urvNYDcWgC+anT58CAPLy8l65plKpsHXrVkluAtEn3HBJRH9El62warRs2RK5ubko\nKCjAuHHj9OZAD12ztLTE6NGjRcd4ha2tLaZMmYKMjAw4OzujVatWoiMZFH9/f83jAQMGwMHBoc5j\njBkzBmPGjMHevXvrfXqkQqGAUqlEdnY2NmzYgMzMTCxYsAAeHh71GleXDLpgrtktGhwcjCdPnqCs\nrExzrXXr1rC3txcVzWBwwyUR/RFdt8ICgClTpqCwsFAz8yqTySR1cNKZM2cAAFZWVvjuu+/QvXt3\nzbWaGTyRduzYgaSkJDx79gw+Pj7IyMhAeHi46FiSFxYW9sZrbzqb4o/069cPM2bMeKnjSY8ePeo0\nxpdffolBgwbB0tISrVq1QmZmJvz8/DBkyBCtMjUEgy6Ya0RGRuLnn3+GjY0N1Gq1poH6qFGjREeT\nPG64JKI/UjO5UVZWhtjYWNy7dw+dO3eu18xpQUEBYmJidBVR79RsmjY3N0dqaipSU1MBVN8Y6EPB\nfOTIEezcuROBgYEIDAyEr6+v6EgG4erVqygtLYWXlxc++OCDVw7w0UZ4eLhOOp507NhR87h9+/Z6\ntySWBTOAy5cv46efftKrxeWGghsuieh/NXv2bLRp0wYKhQK//PIL5syZg2XLlmk1VuvWrfHo0SPY\n2dnpOKV+WL58OYDqo7BfXO6QmJgoKtJLaianapbCcNPf23Ho0CGkpqbixx9/xKZNm9CrVy94eXnV\n6xN1Q+l4woIZgL29PcrKytCkSRPRUQxGRUUFTpw4ASsrK3zyyScAqo+sXbx4MVavXi04HRHpo8eP\nH2PVqlUAgMGDByMgIKDOY/Tr1w9A9XroxMTEl47wPXXqlG6C6pGpU6fi22+/hbGxMSIjI/HkyRO4\nu7uLjgVPT0/4+/vj4cOHmDBhAgYPHiw6ksFwcnLCjBkzAAAXLlxAdHQ0srOzte6DbSgdT1gwA3j0\n6BFcXV01d1g8077hzZgxA8bGxsjLy0NaWhratm2LuXPn4osvvhAdjYj0THl5OQCgTZs2uHLlClxc\nXHDz5k2tNiq9WBQ/f/4cFhYWr8zCSsns2bMxceJE/PbbbwgICICfn5/QPEVFRbC0tERAQAAUCgVS\nU1PRoUMHODs7C81laIqKipCUlITDhw+jpKQEXl5eWo/1+44nUt28L1PrYgFLI/fgwYNXnuMRnQ1r\n1KhR2L9/P8rLy+Hr6wtTU1MsX778pTVMREQA4ObmBplMpllvKZfLUV5eDjMzMxw9elSrMdetW4fy\n8nKEhIRgypQp6N69u6TaWdZs+gOAixcv4vTp05g6dSoAsZv+3NzcoFAo4OfnBxcXF2E5DFVCQgIS\nEhLw8OFDDB06FJ6enmjbtm29xszOzoatra3m6yNHjuDTTz+tb1S9w4IZ1W+cvxccHCwgieH44osv\nNI3NP/30U+zcufOlj0aJiH7v4MGDGDlypE7Gqrlpr6FUKiX1yWJoaOhrn5fJZIiKinrLaf6rZjne\nvn378PjxY/j6+sLLy6tex5zT/87Z2RmOjo6aGf0X2ylGR0drNaafnx82btwIExMTRERE4NmzZ9i8\nebNO8uoTLslAdT9OoHoTwvXr11FVVSU4kWFp0aIFi2Ui+kNxcXE6K5hlMhnKy8shl8uhUql00i1A\nn9Rs+gOAzMxMZGZmonPnzrCxsRGYqvqAiqFDh2Lo0KHIy8tDfHw8goKC0KlTJyxatEhoNkNQ1xP4\n/hdz587FpEmTUFRUhMDAwHr3ZNZXLJhRPbPwoqCgIEFJDEdaWhqmT58OtVqteVxD27tcIpK28vJy\neHt7o0OHDpquRtq+XyiVSowYMQJOTk5IT0+X7Pv+rl27kJCQgMLCQvj4+OD+/fuYN2+e6FgAAGtr\na7Rp0wbNmjXD/fv3RccxCL1799bZWC/uB1AoFPjXv/4FW1tbnDp1SrO5Vkq4JAPA3bt3NY/z8vIQ\nERGBhIQEgYmk7/z582+8pstfaCKSjte9b9Tn/SI/Px9ZWVlo164dmjdvXp9oekupVCImJgaBgYHY\nvn37K0tRRLhw4QLi4+Nx8eJFDBo0CJ999hn3rzRCDXEIij7jDDPw0ulC5ubmmDVrlsA0hoFFMRHV\nlZOTE06dOoWKigqo1Wrk5uZq/V5y6dIl7N+/X3O6aG5uLr7//ntdxtUbRkZGmrWqonvkDho0CPb2\n9vjss88QGRkJU1NToXlIezVFcX5+Pm7cuIG+fftix44d9eq4oc8MvmAuKirCpk2b2IOZiEjPBQcH\nw9HREampqTAzM6vX+3ZERASCgoJw7NgxODk5aVrXSc3w4cMxbtw43L9/H3/5y1/g6uoqNM+2bdvQ\nrl07oRlIt6ZPn65pCWttbY3Q0FB8++23glPpnkEfbVdzJzRy5EikpKSIjkNERLVQq9VYsGABOnTo\ngK1bt+Lp06daj9WsWTN4enrC0tISf/3rX5GTk6PDpPojMDAQ8+bNw/Tp0zF16lThrfNYLEtPSUmJ\n5kZsxIgReP78ueBEDcOgC+bDhw8jMTERu3fvxg8//CA6DhER1cLY2BhlZWUoKSmBTCZDZWWl1mMZ\nGRnh9u3bKCkpQXp6Op49e6bDpPrj9u3bKC0tRfv27bFixQqcPXtWdCSSGFNTU5w+fRpFRUU4c+YM\njI2NRUdqEAZdMMvlcsjlcjRv3lyzjo2IiPSTv78/tm3bhr59+2LAgAH1OnBh9uzZuH37NsaNG4cZ\nM2bA19dXh0n1x/z582FkZIT169dj4sSJWLt2rdA8Dx8+fON/1DgtWrQIO3fuxOjRoxETE4MFCxaI\njtQgDH4Ncw02CyEi0m/Dhg3TPB4+fHi9Drvo3Lkz7OzsUFZWhk2bNr10gIOUyOVydOnSBSqVCj17\n9hQ++zdt2jQAwNOnT1FcXIzOnTsjLS0NLVu2RHx8vNBsVDcVFRUwMTGBnZ0dVq9eLTpOgzPogpm9\ngImI9N+4cePeWNBqexDDzJkz8csvv8DKygpqtRoymUyyBVtYWBj69++PxMRE4QXznj17AACTJ0/G\nsmXLYGlpiefPnyMkJERoLqq7WbNmITo6Gu7u7prfz5rfpePHjwtOp3sG3YeZvYCJiPRfeno6AOBv\nf/sbBg0ahI8++ghXrlzByZMnsWTJEq3GHD16NOLi4nQZUy89efIEly5dgqurK86dO4cuXbroRc9p\nX19f7Nu3741fU+OhyyPr9ZlBzzCzKCYi0n+Ojo4AgMePH8PDwwMAMGTIEGzfvl3rMV1cXJCenq4Z\nW6pMTU1RXl6OI0eOQK1W49q1a3pxqmG/fv0QEBCA7t2748qVKxg8eLDoSKQlXR5Zr88MumAmIqLG\nJS4uDi4uLvjPf/5Tr0MvLC0t8dlnn8HCwkLz3ItH/UrF5MmT0b59e6SlpUEul8PCwkIvCuZp06bh\n6tWryMjIgLe3N5ydnUVHIi29eGS9TCaDTCaT5LJWFsxERNQorFixAhs3bkRiYiI6deqEFStWaD3W\nuXPncP78eZiYSPufwcrKSixevBhhYWFYtGgR/P39RUcCAOTk5GDbtm3Iz8+Hu7s7ysrK0KNHD9Gx\nSAszZswQHeGtMOi2ckREpP+ys7MBVJ/MGhAQgHnz5kGpVNbr4BIHBwc8efJEVxH1lomJCcrLy1FS\nUgJjY2NUVVWJjgSgut2dr6+vpnvH4sWLRUciLezZswcffvghevfuDSMjI9y5c0eyy12lfWtNRESN\n3tatWxEWFobw8PBXduNr2yXjl19+gZubG5o1a6Z5TopLMpRKJbZs2YI+ffrA1dUV77//vuhIAIDS\n0lIoFAps2LABjo6OMDMzEx2J6mjt2rW4ffs2vLy8YGJiAltbW82nBpMnTxYdT+dYMBMRkV7r1KkT\nSktL67XJ7/eSkpJ0NpY+q9kkCVT3sba2thaY5r/MzMyQkpKCqqoqXLp0CXK5XHQkqqPk5GTExsZq\nbmLbtm2LVatWQalUsmAmIiJ621JTUzFixAj07dsXSqWyXhvE1q9fj0mTJiEkJOSV3s5S2qi0aNEi\nzJs3D2PHjn3l5zQ1NcWQIUOErmdeuHAhli1bhoKCAmzZsgURERHCspB2LCwsXvt365133hGUqGEZ\ndB9mIiJqHFQqFY4fP479+/ejsLAQvr6+8PT0RJMmTeo0zs2bN+Hs7PzaPvxSWnuZk5ODVq1aITMz\n85VrKpUKM2fOFN73+O7du8jIyICzszNatWol2dMWpeqrr77CvHnz0K5dO81zWVlZmDdvHn744QeB\nyRoGC2YiImpUcnJysH37dsTFxeHcuXN1+t4DBw688Zq3t3d9o+mdrKwsHDt2DBUVFVCr1cjNzcXX\nX3+Nhw8fonXr1sJy7dixA0lJSXj27Bl8fHyQkZGB8PBwYXmo7m7fvo2QkBAoFAq0a9cODx8+xKlT\np7Bs2TJ07dpVdDyd45IMIiJqFMrKypCUlIQDBw6guLgYoaGhdR7jzp07msdHjhyBp6enZgOhFIWE\nhGDgwIG4ePEiWrRogbKyMgAQWiwD1f/vd+7cicDAQAQGBsLX11doHqq7zp07IyYmBsePH0dubi66\ndeuGyZMnw9LSUnS0BsGCmYiI9Nq5c+dw4MABnDt3DoMGDcLMmTPh5OSk1VjTp0/XPL506RJCQkJ0\nFVMvmZubY/LkyQgLC8PSpUsxduxY0ZEA/LfLSc2NCjf9NU7vvvuuJD+ZeR0WzEREpNfWrVuHMWPG\nIDIyUqeFlVRnlV9kZGSE/Px8PH/+HKWlpSgpKREdCQDg6ekJf39/PHz4EBMmTODR2KT3WDATEZFe\n02U7OUMzceJEHD16FJ6enhg4cCBGjBghOhIAICAgAAqFAqmpqXB0dESXLl1ERyKqFTf9ERGRwahp\nJ6dWq3H27FkoFArNNSm1lXuTtLQ0dOrUSXQM/Prrr4iPj39pxnvp0qUCE5G2srKyEBUVhXv37qFz\n584IDQ2FnZ2d6Fg6x4KZiIgMxuvaydWQUlu506dPY/ny5bC2tsbixYthZ2eHNWvW4ODBg/j5559F\nx4Ovry8CAgLQsmVLzXP9+/cXmIi0NW7cOAQFBeHDDz/EhQsXsH37dmzdulV0LJ3jkgwiIjIYUiqK\naxMVFYXo6Gg8ePAAK1euRH5+Plq0aFFrW723ydLSEj4+PqJjkA4YGxtjwIABAAA3NzdJ9mAGWDAT\nERFJjpWVFTp16oROnTohPDwcX331lV50yDh16hSA6u4KGzduRLdu3TSbL/v16ycyGtVRzWvZpEkT\nfPfdd+jVqxeuXLny0qcGUsKCmYiISGJe7ABiZ2enF8UyUN1/GagumDMyMpCRkaG5xoK5cal5LZs2\nbYr09HSkp6cDkG6LQBbMREREElNWVoasrCyo1Wqo1WpkZWVprr14lPHb9qaNfbm5uW85CdWXob2W\n3PRHREQkMWPHjtV0A3mRTCbDzp07BaX6rzVr1mDXrl1QqVQoLS2Fg4ODZsaSGhdDeS05w0xERCQx\nMTExoiPU6sSJE0hOTsaSJUswfvx4REZGio5EWjKU19JIdAAiIiIyLO+99x7kcjmKi4thb28PlUol\nOhJpyVBeSxbMRERE9FbZ2tpi7969aNKkCaKjo1FYWCg6EmnJUF5LrmEmIiKit6qqqgrZ2dmwsrJC\nfHw8+vTpg44dO4qORVqoqqrCo0ePYG1tLenXkgUzERGRgfi///s/rF69WnQM3L9/H8eOHXvpaOzg\n4GCBiaiuTp48CVdXV+zZs+eVa6ampujZsyfat28vIFnD4KY/IiIiAxEeHi46AgBg+vTp6N+/v2QP\nuTAET58+BQDk5eW9ck2lUmHr1q04dOjQ247VYFgwExERSVBqaiqcnJxQUVGBvXv3Qi6Xw9vbW3Qs\nAIC5uTlnlBu5mqPNg4OD8eTJE5SVlWmutW7dGvb29qKiNQguySAiIpKYH374AQcPHkRsbCyioqKQ\nmZkJOzs7yOVyhIWFCct19+5dAMC6devg6uqKrl27ak4l7NChg7BcpL3IyEj8/PPPsLGxgVqthkwm\nw+7du0XH0jnOMBMREUlMQkIC4uLiYGRkhEOHDiExMRHW1tbw8/MTmuvFJSEvrn2VyWT4+9//LiIS\n1dPly5fx008/wchI2o3XWDATERFJzDvvvANjY2Ncv34dbdq0gbW1tehIAIDt27e/9HVhYSGMjIxg\naWkpKBHVl729PcrKytCkSRPRURqUtG8HiIiIDJBMJkNWVhYOHDgAV1dXAEBmZqbwWcBr167B29sb\nKpUKSUlJGDZsGHx9fXHixAmhuUh7jx49gqurK/z8/ODn5welUik6UoPgGmYiIiKJuXz5MiIjI9Gy\nZUusXLkSN27cwIwZM7Bq1Sp8+OGHwnIFBgYiLCwMzs7O8PDwQFRUFBwcHBAUFCTJda+G4MGDB688\n16ZNGwFJGhaXZBAREUlMjx49sH//fs3XLi4uSEpKglwuF5iq+pALZ2dn5OTkoKSkBN27dwcA4TPf\npL34+PhXnpNiBxT+DSUiIpI4MzMzyOVy7Nu3T2gOE5PqebqUlBQoFAoA1T17i4uLRcaiemjZsiVa\ntmyJFi1aICcnB48ePRIdqUFwhpmIiMhA1BSsoigUCiiVSmRnZ2PDhg3IzMzEggUL4OHhITQXae/3\na5aDgoIEJWlYXMNMREQkMbdu3UKXLl1Ex3itO3fuwNLSEq1atUJmZiZu3bqFIUOGiI5FWqrprQ1U\nn/oXERGBhIQEgYkaBgtmIiIiiXF3d4dSqcSf/vQn0VFI4saNG6d5bG5ujoCAAAwYMEBgoobBgpmI\niEhiiouLERUVhfv37+Obb77Be++9JzoSSVBRURGMjY0l34MZYMFMREQkWefPn8ecOXPQo0cPzXPR\n0dECE5FU7NixA1u2bIGJiQnmz5+P/v37i47UoLjpj4iISILu3LmDlStXonfv3vD29hYdhyTm8OHD\nSExMRFFREWbOnMmCmYiIiBqXTZs2Yffu3QgPD8fAgQNFxyEJksvlkMvlaN68OVQqleg4DY4FMxER\nkcRcvXoV+/btQ7NmzURHIQNgCKt7uYaZiIiIiOqkT58+UCgUUKvVOHv2rOYgGkCa6+RZMBMRERFR\nnZw/f/6N13r37v0Wk7wdLJiJiIiIiGphJDoAERERvR0nT54UHYGoUWLBTEREZCAyMjJERyBqlLgk\ng4iISKJ+/PFHeHl5iY5B1OhxhpmIiEiiYmNjRUcgkgT2YSYiIpKo8vJyeHt7o0OHDjAyqp4jk2LL\nL6KGxiUZREREEvW61l9SbPlF1NA4w0xERCRBN2/exJkzZ1BQUABbW1u4u7vDwcFBdCyiRolrmImI\niCTm6NGjmDNnDuzs7NC/f3+88847mDJlCn766SfR0YgaJS7JICIikpjPP/8c33//PSwsLDTPFRUV\nYeLEidi+fbvAZESNE2eYiYiIJMbExOSlYhkALC0tYWxsLCgRUePGgpmIiEhiZDLZa5+vqqp6y0mI\npIGb/oiIiCQmLS0N06dPf+k5tVqNO3fuCEpE1LhxDTMREZHEvK6dXA22lSOqOxbMRERERES14Bpm\nIiIiIqJasGAmIiIiIqoFC2YiIiIiolqwYCYiIiIiqgULZiIiPRQcHIzExETN16NGjcKVK1cwfvx4\n+Pj44PPPP8f169cBALNnz8aiRYvw+eefw83NDfv27QMArF27FmvXrtWM4ebmhvv376OyshJLly6F\nj48PvLy8sG3btrf6sxERNTYsmImI9NDIkSORkJAAALh37x7KysqwZMkShIaGIj4+HgsXLsS0adM0\nfz47OxsxMTHYsGEDoqKiah07NjYWABAfH4+9e/fi+PHjuHjxYsP9MEREjRwPLiEi0kMDBgzAwoUL\nUVRUhMOHD2P48OHYuHEjwsLCNH/m+fPnKCgoAAD07dsXMpkMTk5OePr0aa1jnzlzBjdu3MDZs2c1\n49y6dQs9e/ZsuB+IiKgRY8FMRKSH5HI5Bg4ciBMnTiAxMRHffvsttmzZgoMHD2r+THZ2Npo2bQoA\nMDMzA/Dykcgymeylo5BVKhUAoLKyEqGhoRg6dCgAID8/HxYWFg3+MxERNVZckkFEpKdGjhyJrVu3\nwtraGm3atIGDg4OmYD59+jT8/f1r/f5mzZohLS0NAHDlyhXk5eUBAD755BPExsZCpVKhuLgYY8eO\nxeXLlxv2hyEiasQ4w0xEpKc++ugj/Pbbb1AqlQCA5cuXIyIiAps3b4apqSlWrVr10ozy73l4eODY\nsWPw8PBAt27d0LVrVwCAUqlERkYGfHx8UFFRgVGjRuHjjz9+Kz8TEVFjxKOxiYiIiIhqwSUZRERE\nRES1YMFMRERERFQLFsxERERERLVgwUxEREREVAsWzEREREREtWDBTERERERUCxbMRERERES1YMFM\nRERERFSL/wewRv9qDdtctgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f33bff28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='venue', data = match)\n",
    "plt.xticks(rotation = 'vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['match_id', 'inning', 'batting_team', 'bowling_team', 'over', 'ball',\n",
       "       'batsman', 'non_striker', 'bowler', 'is_super_over', 'wide_runs',\n",
       "       'bye_runs', 'legbye_runs', 'noball_runs', 'penalty_runs',\n",
       "       'batsman_runs', 'extra_runs', 'total_runs', 'player_dismissed',\n",
       "       'dismissal_kind', 'fielder'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method DataFrame.info of         match_id  inning                 batting_team  \\\n",
       "0              1       1        Kolkata Knight Riders   \n",
       "1              1       1        Kolkata Knight Riders   \n",
       "2              1       1        Kolkata Knight Riders   \n",
       "3              1       1        Kolkata Knight Riders   \n",
       "4              1       1        Kolkata Knight Riders   \n",
       "5              1       1        Kolkata Knight Riders   \n",
       "6              1       1        Kolkata Knight Riders   \n",
       "7              1       1        Kolkata Knight Riders   \n",
       "8              1       1        Kolkata Knight Riders   \n",
       "9              1       1        Kolkata Knight Riders   \n",
       "10             1       1        Kolkata Knight Riders   \n",
       "11             1       1        Kolkata Knight Riders   \n",
       "12             1       1        Kolkata Knight Riders   \n",
       "13             1       1        Kolkata Knight Riders   \n",
       "14             1       1        Kolkata Knight Riders   \n",
       "15             1       1        Kolkata Knight Riders   \n",
       "16             1       1        Kolkata Knight Riders   \n",
       "17             1       1        Kolkata Knight Riders   \n",
       "18             1       1        Kolkata Knight Riders   \n",
       "19             1       1        Kolkata Knight Riders   \n",
       "20             1       1        Kolkata Knight Riders   \n",
       "21             1       1        Kolkata Knight Riders   \n",
       "22             1       1        Kolkata Knight Riders   \n",
       "23             1       1        Kolkata Knight Riders   \n",
       "24             1       1        Kolkata Knight Riders   \n",
       "25             1       1        Kolkata Knight Riders   \n",
       "26             1       1        Kolkata Knight Riders   \n",
       "27             1       1        Kolkata Knight Riders   \n",
       "28             1       1        Kolkata Knight Riders   \n",
       "29             1       1        Kolkata Knight Riders   \n",
       "...          ...     ...                          ...   \n",
       "136568       577       2  Royal Challengers Bangalore   \n",
       "136569       577       2  Royal Challengers Bangalore   \n",
       "136570       577       2  Royal Challengers Bangalore   \n",
       "136571       577       2  Royal Challengers Bangalore   \n",
       "136572       577       2  Royal Challengers Bangalore   \n",
       "136573       577       2  Royal Challengers Bangalore   \n",
       "136574       577       2  Royal Challengers Bangalore   \n",
       "136575       577       2  Royal Challengers Bangalore   \n",
       "136576       577       2  Royal Challengers Bangalore   \n",
       "136577       577       2  Royal Challengers Bangalore   \n",
       "136578       577       2  Royal Challengers Bangalore   \n",
       "136579       577       2  Royal Challengers Bangalore   \n",
       "136580       577       2  Royal Challengers Bangalore   \n",
       "136581       577       2  Royal Challengers Bangalore   \n",
       "136582       577       2  Royal Challengers Bangalore   \n",
       "136583       577       2  Royal Challengers Bangalore   \n",
       "136584       577       2  Royal Challengers Bangalore   \n",
       "136585       577       2  Royal Challengers Bangalore   \n",
       "136586       577       2  Royal Challengers Bangalore   \n",
       "136587       577       2  Royal Challengers Bangalore   \n",
       "136588       577       2  Royal Challengers Bangalore   \n",
       "136589       577       2  Royal Challengers Bangalore   \n",
       "136590       577       2  Royal Challengers Bangalore   \n",
       "136591       577       2  Royal Challengers Bangalore   \n",
       "136592       577       2  Royal Challengers Bangalore   \n",
       "136593       577       2  Royal Challengers Bangalore   \n",
       "136594       577       2  Royal Challengers Bangalore   \n",
       "136595       577       2  Royal Challengers Bangalore   \n",
       "136596       577       2  Royal Challengers Bangalore   \n",
       "136597       577       2  Royal Challengers Bangalore   \n",
       "\n",
       "                       bowling_team  over  ball        batsman    non_striker  \\\n",
       "0       Royal Challengers Bangalore     1     1     SC Ganguly    BB McCullum   \n",
       "1       Royal Challengers Bangalore     1     2    BB McCullum     SC Ganguly   \n",
       "2       Royal Challengers Bangalore     1     3    BB McCullum     SC Ganguly   \n",
       "3       Royal Challengers Bangalore     1     4    BB McCullum     SC Ganguly   \n",
       "4       Royal Challengers Bangalore     1     5    BB McCullum     SC Ganguly   \n",
       "5       Royal Challengers Bangalore     1     6    BB McCullum     SC Ganguly   \n",
       "6       Royal Challengers Bangalore     1     7    BB McCullum     SC Ganguly   \n",
       "7       Royal Challengers Bangalore     2     1    BB McCullum     SC Ganguly   \n",
       "8       Royal Challengers Bangalore     2     2    BB McCullum     SC Ganguly   \n",
       "9       Royal Challengers Bangalore     2     3    BB McCullum     SC Ganguly   \n",
       "10      Royal Challengers Bangalore     2     4    BB McCullum     SC Ganguly   \n",
       "11      Royal Challengers Bangalore     2     5    BB McCullum     SC Ganguly   \n",
       "12      Royal Challengers Bangalore     2     6    BB McCullum     SC Ganguly   \n",
       "13      Royal Challengers Bangalore     3     1     SC Ganguly    BB McCullum   \n",
       "14      Royal Challengers Bangalore     3     2     SC Ganguly    BB McCullum   \n",
       "15      Royal Challengers Bangalore     3     3     SC Ganguly    BB McCullum   \n",
       "16      Royal Challengers Bangalore     3     4    BB McCullum     SC Ganguly   \n",
       "17      Royal Challengers Bangalore     3     5    BB McCullum     SC Ganguly   \n",
       "18      Royal Challengers Bangalore     3     6     SC Ganguly    BB McCullum   \n",
       "19      Royal Challengers Bangalore     4     1    BB McCullum     SC Ganguly   \n",
       "20      Royal Challengers Bangalore     4     2    BB McCullum     SC Ganguly   \n",
       "21      Royal Challengers Bangalore     4     3    BB McCullum     SC Ganguly   \n",
       "22      Royal Challengers Bangalore     4     4     SC Ganguly    BB McCullum   \n",
       "23      Royal Challengers Bangalore     4     5     SC Ganguly    BB McCullum   \n",
       "24      Royal Challengers Bangalore     4     6     SC Ganguly    BB McCullum   \n",
       "25      Royal Challengers Bangalore     4     7    BB McCullum     SC Ganguly   \n",
       "26      Royal Challengers Bangalore     5     1     SC Ganguly    BB McCullum   \n",
       "27      Royal Challengers Bangalore     5     2     SC Ganguly    BB McCullum   \n",
       "28      Royal Challengers Bangalore     5     3    BB McCullum     SC Ganguly   \n",
       "29      Royal Challengers Bangalore     5     4    BB McCullum     SC Ganguly   \n",
       "...                             ...   ...   ...            ...            ...   \n",
       "136568          Sunrisers Hyderabad    16     1       KL Rahul      SR Watson   \n",
       "136569          Sunrisers Hyderabad    16     2      SR Watson       KL Rahul   \n",
       "136570          Sunrisers Hyderabad    16     3       KL Rahul      SR Watson   \n",
       "136571          Sunrisers Hyderabad    16     4    Sachin Baby      SR Watson   \n",
       "136572          Sunrisers Hyderabad    16     5    Sachin Baby      SR Watson   \n",
       "136573          Sunrisers Hyderabad    16     6      SR Watson    Sachin Baby   \n",
       "136574          Sunrisers Hyderabad    17     1      SR Watson    Sachin Baby   \n",
       "136575          Sunrisers Hyderabad    17     2      SR Watson    Sachin Baby   \n",
       "136576          Sunrisers Hyderabad    17     3      SR Watson    Sachin Baby   \n",
       "136577          Sunrisers Hyderabad    17     4    Sachin Baby      STR Binny   \n",
       "136578          Sunrisers Hyderabad    17     5      STR Binny    Sachin Baby   \n",
       "136579          Sunrisers Hyderabad    17     6      STR Binny    Sachin Baby   \n",
       "136580          Sunrisers Hyderabad    18     1      STR Binny    Sachin Baby   \n",
       "136581          Sunrisers Hyderabad    18     2      STR Binny    Sachin Baby   \n",
       "136582          Sunrisers Hyderabad    18     3    Sachin Baby      STR Binny   \n",
       "136583          Sunrisers Hyderabad    18     4      STR Binny    Sachin Baby   \n",
       "136584          Sunrisers Hyderabad    18     5      STR Binny    Sachin Baby   \n",
       "136585          Sunrisers Hyderabad    18     6    Sachin Baby      STR Binny   \n",
       "136586          Sunrisers Hyderabad    19     1      STR Binny    Sachin Baby   \n",
       "136587          Sunrisers Hyderabad    19     2      CJ Jordan    Sachin Baby   \n",
       "136588          Sunrisers Hyderabad    19     3      CJ Jordan    Sachin Baby   \n",
       "136589          Sunrisers Hyderabad    19     4      CJ Jordan    Sachin Baby   \n",
       "136590          Sunrisers Hyderabad    19     5    Sachin Baby      CJ Jordan   \n",
       "136591          Sunrisers Hyderabad    19     6    Sachin Baby      CJ Jordan   \n",
       "136592          Sunrisers Hyderabad    20     1      CJ Jordan    Sachin Baby   \n",
       "136593          Sunrisers Hyderabad    20     2    Sachin Baby      CJ Jordan   \n",
       "136594          Sunrisers Hyderabad    20     3    Sachin Baby      CJ Jordan   \n",
       "136595          Sunrisers Hyderabad    20     4  Iqbal Abdulla    Sachin Baby   \n",
       "136596          Sunrisers Hyderabad    20     5    Sachin Baby  Iqbal Abdulla   \n",
       "136597          Sunrisers Hyderabad    20     6  Iqbal Abdulla    Sachin Baby   \n",
       "\n",
       "                   bowler  is_super_over      ...       bye_runs  legbye_runs  \\\n",
       "0                 P Kumar              0      ...              0            1   \n",
       "1                 P Kumar              0      ...              0            0   \n",
       "2                 P Kumar              0      ...              0            0   \n",
       "3                 P Kumar              0      ...              0            0   \n",
       "4                 P Kumar              0      ...              0            0   \n",
       "5                 P Kumar              0      ...              0            0   \n",
       "6                 P Kumar              0      ...              0            1   \n",
       "7                  Z Khan              0      ...              0            0   \n",
       "8                  Z Khan              0      ...              0            0   \n",
       "9                  Z Khan              0      ...              0            0   \n",
       "10                 Z Khan              0      ...              0            0   \n",
       "11                 Z Khan              0      ...              0            0   \n",
       "12                 Z Khan              0      ...              0            0   \n",
       "13                P Kumar              0      ...              0            0   \n",
       "14                P Kumar              0      ...              0            0   \n",
       "15                P Kumar              0      ...              0            1   \n",
       "16                P Kumar              0      ...              0            0   \n",
       "17                P Kumar              0      ...              0            0   \n",
       "18                P Kumar              0      ...              0            0   \n",
       "19              AA Noffke              0      ...              0            0   \n",
       "20              AA Noffke              0      ...              0            0   \n",
       "21              AA Noffke              0      ...              0            1   \n",
       "22              AA Noffke              0      ...              0            0   \n",
       "23              AA Noffke              0      ...              0            0   \n",
       "24              AA Noffke              0      ...              0            0   \n",
       "25              AA Noffke              0      ...              0            0   \n",
       "26                P Kumar              0      ...              0            0   \n",
       "27                P Kumar              0      ...              0            0   \n",
       "28                P Kumar              0      ...              0            0   \n",
       "29                P Kumar              0      ...              0            0   \n",
       "...                   ...            ...      ...            ...          ...   \n",
       "136568        BCJ Cutting              0      ...              0            0   \n",
       "136569        BCJ Cutting              0      ...              0            0   \n",
       "136570        BCJ Cutting              0      ...              0            0   \n",
       "136571        BCJ Cutting              0      ...              0            0   \n",
       "136572        BCJ Cutting              0      ...              0            0   \n",
       "136573        BCJ Cutting              0      ...              0            0   \n",
       "136574  Mustafizur Rahman              0      ...              0            0   \n",
       "136575  Mustafizur Rahman              0      ...              0            0   \n",
       "136576  Mustafizur Rahman              0      ...              0            0   \n",
       "136577  Mustafizur Rahman              0      ...              0            0   \n",
       "136578  Mustafizur Rahman              0      ...              0            0   \n",
       "136579  Mustafizur Rahman              0      ...              0            0   \n",
       "136580            B Kumar              0      ...              0            0   \n",
       "136581            B Kumar              0      ...              0            0   \n",
       "136582            B Kumar              0      ...              0            0   \n",
       "136583            B Kumar              0      ...              0            0   \n",
       "136584            B Kumar              0      ...              0            1   \n",
       "136585            B Kumar              0      ...              0            0   \n",
       "136586  Mustafizur Rahman              0      ...              0            0   \n",
       "136587  Mustafizur Rahman              0      ...              0            0   \n",
       "136588  Mustafizur Rahman              0      ...              0            0   \n",
       "136589  Mustafizur Rahman              0      ...              0            1   \n",
       "136590  Mustafizur Rahman              0      ...              0            0   \n",
       "136591  Mustafizur Rahman              0      ...              0            0   \n",
       "136592            B Kumar              0      ...              0            0   \n",
       "136593            B Kumar              0      ...              0            0   \n",
       "136594            B Kumar              0      ...              0            0   \n",
       "136595            B Kumar              0      ...              0            1   \n",
       "136596            B Kumar              0      ...              0            0   \n",
       "136597            B Kumar              0      ...              0            0   \n",
       "\n",
       "        noball_runs  penalty_runs  batsman_runs  extra_runs  total_runs  \\\n",
       "0                 0             0             0           1           1   \n",
       "1                 0             0             0           0           0   \n",
       "2                 0             0             0           1           1   \n",
       "3                 0             0             0           0           0   \n",
       "4                 0             0             0           0           0   \n",
       "5                 0             0             0           0           0   \n",
       "6                 0             0             0           1           1   \n",
       "7                 0             0             0           0           0   \n",
       "8                 0             0             4           0           4   \n",
       "9                 0             0             4           0           4   \n",
       "10                0             0             6           0           6   \n",
       "11                0             0             4           0           4   \n",
       "12                0             0             0           0           0   \n",
       "13                0             0             0           0           0   \n",
       "14                0             0             0           0           0   \n",
       "15                0             0             0           1           1   \n",
       "16                0             0             4           0           4   \n",
       "17                0             0             1           0           1   \n",
       "18                0             0             0           0           0   \n",
       "19                0             0             0           5           5   \n",
       "20                0             0             6           0           6   \n",
       "21                0             0             0           1           1   \n",
       "22                0             0             4           0           4   \n",
       "23                0             0             0           0           0   \n",
       "24                0             0             1           0           1   \n",
       "25                0             0             6           0           6   \n",
       "26                0             0             4           0           4   \n",
       "27                0             0             1           0           1   \n",
       "28                0             0             4           0           4   \n",
       "29                0             0             0           0           0   \n",
       "...             ...           ...           ...         ...         ...   \n",
       "136568            0             0             1           0           1   \n",
       "136569            0             0             1           0           1   \n",
       "136570            0             0             0           0           0   \n",
       "136571            0             0             0           0           0   \n",
       "136572            0             0             1           0           1   \n",
       "136573            0             0             1           0           1   \n",
       "136574            0             0             0           0           0   \n",
       "136575            0             0             2           0           2   \n",
       "136576            0             0             0           0           0   \n",
       "136577            0             0             1           0           1   \n",
       "136578            0             0             6           0           6   \n",
       "136579            0             0             1           0           1   \n",
       "136580            0             0             0           0           0   \n",
       "136581            0             0             1           0           1   \n",
       "136582            0             0             1           0           1   \n",
       "136583            0             0             0           0           0   \n",
       "136584            0             0             0           1           1   \n",
       "136585            0             0             4           0           4   \n",
       "136586            0             0             1           0           1   \n",
       "136587            0             0             2           0           2   \n",
       "136588            0             0             0           0           0   \n",
       "136589            0             0             0           1           1   \n",
       "136590            0             0             2           0           2   \n",
       "136591            0             0             6           0           6   \n",
       "136592            0             0             1           0           1   \n",
       "136593            0             0             2           0           2   \n",
       "136594            0             0             0           0           0   \n",
       "136595            0             0             0           1           1   \n",
       "136596            0             0             1           0           1   \n",
       "136597            0             0             4           0           4   \n",
       "\n",
       "        player_dismissed dismissal_kind       fielder  \n",
       "0                    NaN            NaN           NaN  \n",
       "1                    NaN            NaN           NaN  \n",
       "2                    NaN            NaN           NaN  \n",
       "3                    NaN            NaN           NaN  \n",
       "4                    NaN            NaN           NaN  \n",
       "5                    NaN            NaN           NaN  \n",
       "6                    NaN            NaN           NaN  \n",
       "7                    NaN            NaN           NaN  \n",
       "8                    NaN            NaN           NaN  \n",
       "9                    NaN            NaN           NaN  \n",
       "10                   NaN            NaN           NaN  \n",
       "11                   NaN            NaN           NaN  \n",
       "12                   NaN            NaN           NaN  \n",
       "13                   NaN            NaN           NaN  \n",
       "14                   NaN            NaN           NaN  \n",
       "15                   NaN            NaN           NaN  \n",
       "16                   NaN            NaN           NaN  \n",
       "17                   NaN            NaN           NaN  \n",
       "18                   NaN            NaN           NaN  \n",
       "19                   NaN            NaN           NaN  \n",
       "20                   NaN            NaN           NaN  \n",
       "21                   NaN            NaN           NaN  \n",
       "22                   NaN            NaN           NaN  \n",
       "23                   NaN            NaN           NaN  \n",
       "24                   NaN            NaN           NaN  \n",
       "25                   NaN            NaN           NaN  \n",
       "26                   NaN            NaN           NaN  \n",
       "27                   NaN            NaN           NaN  \n",
       "28                   NaN            NaN           NaN  \n",
       "29                   NaN            NaN           NaN  \n",
       "...                  ...            ...           ...  \n",
       "136568               NaN            NaN           NaN  \n",
       "136569               NaN            NaN           NaN  \n",
       "136570          KL Rahul         bowled           NaN  \n",
       "136571               NaN            NaN           NaN  \n",
       "136572               NaN            NaN           NaN  \n",
       "136573               NaN            NaN           NaN  \n",
       "136574               NaN            NaN           NaN  \n",
       "136575               NaN            NaN           NaN  \n",
       "136576         SR Watson         caught  MC Henriques  \n",
       "136577               NaN            NaN           NaN  \n",
       "136578               NaN            NaN           NaN  \n",
       "136579               NaN            NaN           NaN  \n",
       "136580               NaN            NaN           NaN  \n",
       "136581               NaN            NaN           NaN  \n",
       "136582               NaN            NaN           NaN  \n",
       "136583               NaN            NaN           NaN  \n",
       "136584               NaN            NaN           NaN  \n",
       "136585               NaN            NaN           NaN  \n",
       "136586         STR Binny        run out      DJ Hooda  \n",
       "136587               NaN            NaN           NaN  \n",
       "136588               NaN            NaN           NaN  \n",
       "136589               NaN            NaN           NaN  \n",
       "136590               NaN            NaN           NaN  \n",
       "136591               NaN            NaN           NaN  \n",
       "136592               NaN            NaN           NaN  \n",
       "136593               NaN            NaN           NaN  \n",
       "136594         CJ Jordan        run out       NV Ojha  \n",
       "136595               NaN            NaN           NaN  \n",
       "136596               NaN            NaN           NaN  \n",
       "136597               NaN            NaN           NaN  \n",
       "\n",
       "[136598 rows x 21 columns]>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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mRo4cqaZNm5qYLH/uvffev/3c1q1br2GSwtOvXz8tXrzY7BgF1rZt21xvI2ef\nNhwOh+Li4syKVagSExNVrVo1s2N4LDw8XDNnzlRAQIDZUQps4sSJio+PV7Vq1eRyueRwOCw977dX\nr16Wv3/BThfNRqx4Hti1a5d+/vlnvf3223ryySclXZrauGLFCn344Ycmp/NcUTsP+Jr2zCZLT09X\nly5dVL9+ffn4XJqZMmPGDJNTeeauu+5SaGiomjdvrt27d2v16tXq2rWrXnzxRUudpK1aio0EBAQo\nLi5O9erVc/+c1a9f3+RU+bd582azIxS62bNna9WqVXI6nfrrr79Ur149ffTRR2bH8tjhw4cVHBys\nypUruy9urPo79f3332vTpk3u3xmrK1OmjKKionL9vbHaVLPQ0FA5HA797xib1S+aX331VcXGxlr6\nPBAQEKDTp08rPT1dSUlJki69LiNHjjQ5WcEUtfNAsS3Mzz//vNkRCs3Ro0d19913S7o0h2nu3Llq\n2bKlXn/9dZOT5c/cuXM1aNAgDR8+/LKbYqx6MfPHH3/o7bffdn/scDi0bNky8wIVUFxcnFauXCmn\n0ymXy6WUlBR98MEHZsfyyObNmxUfH6+oqCg9+eSTmjRpktmRCuTzzz83O0KhqVu3ri5evKjSpUub\nHaVQNGvWTNKl84FV2fGiWbr0e2P180CjRo3UqFEjde/eXdWrVzc7TqEpaueBYluYmzRpokWLFikx\nMVFt2rTRjTfeaHYkj/n5+WnVqlVq1qyZdu/eLT8/P+3bt8/0JVjyq23btpKksLAwk5MUnpiYGCUn\nJ+u3335T7dq1LX2zj3RpNGby5MmKjY1VcHCwvvrqK7Mjeaxq1ary8/NTWlqa6tat615X1qoOHTqk\nCRMm6OzZs+rUqZOCgoLUpk0bs2N55OTJk2rTpo3q1q0rSaa/FVtQgwcP1hdffKFDhw6pfv36uv/+\n+82O5DE7XTRL9joPfP3111qwYIHS09PdUxisPPpf1M4DxbYwjxkzRiEhIdq5c6eqVKmisWPHWnZO\n8yuvvKL58+crLi5OjRo10ssvv6zvv/9eU6dONTtavjRu3FjSpZuXunbtqs6dO6tcuXImpyqYjz/+\nWK+++qoaNGigQ4cOafDgwercubPZsTxWrVo1NWvWTLGxsXrkkUe0bt06syN5rEaNGlqzZo1Kly6t\nGTNm6OzZs2ZHKpAXX3xR0dHRGjdunLp166bw8HDLFmarvqP0d2bMmKFffvlFt99+u9avX6///ve/\nioiIMDtBxZqhAAAgAElEQVSWR+x00SzZ6zywaNEizZ8/39IbMOVU1M4DxbYwp6SkqFu3bnr//fd1\n++23W3oN1kqVKunf//63+07SCxcuWHo5mYULF+o///mP+vTpo6CgIHXv3l133HGH2bE88vbbb2vt\n2rUqW7asUlNT1adPH0sX5pIlS2rnzp3KyMjQli1blJycbHYkj02ePFknT55UaGio1q1bp5kzZ5od\nqcDq1q0rh8OhypUrW3rN74yMDH3yySe5dpObPHmyyak8t3PnTvfIWJ8+fdSjRw+TE3nOThfN0qXz\nQEJCgvs8UNRKWn7UqVPHPRprByVKlFBUVJQOHz6sevXqmb5rYbEtzNKlm2QkKSEhQSVKlDA5jeeK\n2p2kBVWlShX1799fDz30kKZPn66BAwdqx44dZsfyiMPhcBeXcuXKyd/f3+REBTNp0iQdOXJEAwcO\n1OzZszVw4ECzI+Xb559/rjZt2mj16tXux/z8/LRr1y599913at68uW644QYTE3qmQoUKio2N1YUL\nF/TRRx9ZerWMESNG6IEHHtC3336ratWq6fz582ZHKpCMjAxlZWXJx8fHfY62KjtdNEvSn3/+qWXL\nlunYsWMKCgqy9BzgUqVKKTw8XDfddJP7Z2z48OEmp/LcuHHj1KtXL915553asWOHxo4dq6VLl5qW\np9gW5rFjx2rMmDE6fPiwhgwZogkTJpgdyWNF7U7Sglq/fr3WrVunrKwsde3a1dJr49apU0cvvfSS\nmjdvrl27dlmyiOW0YMECde/eXQ0bNtScOXPMjuORlJQUSXLfTZ6T0+nUkiVLLDknMyoqSvPnz1el\nSpW0b98+y03JyqlMmTJ6+umndezYMUVHR+vRRx81O1KBdOjQQb169dI//vEPff/99+rQoYPZkTxm\nh4vmnCIiInTfffepS5cu2rVrlyIiIjR37lyzY3nEyu8sX8nFixfVrl07SdL999+vJUuWmJqn2Bbm\nG2+8Ue+8847ZMQpFUbuTtKB+/PFHRUZGqkGDBmZHKbDo6Gi988472rZtmxo0aKARI0aYHalA7rvv\nPs2fP1+nTp1Sp06d1KlTJ8vNM3/44YclXboR60qL4lv1Lc0ffvhBrVu3dv/RPHr0qGrWrKkaNWqY\nnCz/HA6HkpKSlJaWpvPnz1t+hLlfv3669957deTIEXXr1k2NGjUyO5LHXn75Zfe0BateNOd08eJF\n9wVZ48aNtXHjRpMTea5jx47au3evMjIy5HK5lJiYaHakAsnMzNTBgwd144036uDBg6a/M1PsNi75\n3w0YfH19lZGRIT8/P3388ccmJvNcWFiYjh07VmTuJC2o1NTUy1YwsVqJMVr/1miDFqs4c+aMpk6d\nqs2bN6t9+/YaNGiQ5UbPJ02apC+//NI2U5kee+wxnT59Wk2bNtWBAwdUsmRJpaenq3v37goPDzc7\nXr7s3LnTvZvc+PHj1blzZ0veJLd69Wp1795dM2bMuOyPvVXfKn/22Wf1zDPPqH79+u5jsuLGJUeP\nHpV0aT329u3bq3nz5u53a636ruaAAQPkdDqVmJiozMxMVatWLdeyplZz4MABjR8/XomJiapevbqm\nTJmim266ybQ8xW6E+ZNPPpHL5dKkSZMUFhamW2+9VQcOHNDKlSvNjuYxK9+kcCV2WMHEaOF7Kxfm\nw4cPa+3atfr888/VokULrVixQhkZGRo2bJjWrl1rdrx8+e6772w1lalUqVJ6//335e/vr/T0dD37\n7LOaM2eOHn/8ccsV5jvvvFN33nmnJLnfkrWi7NH9unXrWvo+mZyOHTumQYMGuT+26tJlkZGR7n+v\nXLnS3QHMHsUsiOTkZL3zzjsaO3asxo8f7971z6qaNGmi9957z+wYbsWuMGdfCf/222+69dZbJV16\nUbKvNq0ke/QiNjbWNqMXkj1WMPm7EQqrv0U2btw49ejRQ4MHD841Bahr164mpvKM3aYyJScnu28q\n9fPzU3Jysvz8/Cz1+zNkyBC99tprV7yotOKuha1atZIkbdiwQYsXLzY5TeHInt+fnJysihUrWrZg\nxsTEXPFxK6/DXKpUKUmXVsoqVaqUZV+bonoeKHaFOVv58uX16quv6tZbb9Xu3btVtWpVsyPlW/bo\nRWBgYK7HrfpLkpNdVjCx2/bLq1at0pdffqkVK1aoXr167g0YHnvsMZOT5V9RWxS/oNq1a6devXrp\n1ltv1d69e9W2bVutXLlSQUFBZkfLs9dee02SNcuxkYCAAMXFxalevXrudzTq169vcirP7Ny5U5Mm\nTVJmZqZCQ0NVq1Ytde/e3exYHouNjdWSJUvc835Llixp2XnMDz74oF5//XU1btxYPXr0UJkyZcyO\n5JG/Ow+YfS9DsZvDnO38+fOKjY3VsWPH1LBhQ4WFhVluHtYHH3ygjh075nrs4sWLmjRpkqKiokxK\nVXAHDx5UZGSkDh8+rMDAQE2YMEFNmzY1O5ZHOnfurNWrV+fadtXKI005N2DYtWuXateurVGjRpkd\nyyMnTpy47LHrr7/ehCSF48iRI0pPT9eRI0fUsGFDNWrUSGfOnFGlSpUscxFttM6qVeeVSlLv3r1z\nfexwOLRs2TKT0hTMY489pjfeeEPPPvus3nzzTfXq1cty07Fy6tixo9566y3NmzdPoaGhWrp0qWVX\nycjp4MGDqlevnuWXMs2pW7duWrNmjWnPX+xGmPfu3atbbrlF3377rXv/dUnasWOH5eaWvvnmmypb\ntqx7S+mjR49qyJAhuu2220xOVjB2WsHETtuuSvbagOFKGy4MHjzYhCSFY+zYsVq1apV7x0xJltuK\nPXu5tVWrVqlZs2a6/fbbtXfvXu3du9fkZAXTunVry80j/zs+Pj7uqRj+/v6W3iBHurQRS7Vq1ZSW\nlqbg4GC9/vrrZkfKt7lz52rQoEEaPnz4ZRfHdrrHyezx3WJXmL/++mvdcsstV3xb3IqFuX///ipT\npoxOnz6tGTNmaNSoUWrfvr3Z0TxixxVM7LTtqmSvDRiqVKki6dJJ+MCBA5aa63slZcqUUVRUlOrX\nr+9+279nz54mp8qf7Dm/S5Ys0VNPPSVJuuOOOyx/81J8fLyefPJJS08vy3bDDTdoxowZSklJ0cKF\nC1WrVi2zIxVI+fLltWnTJveUrOx12q0ke9AsLCzM5CTeZfbfm2I7JeN/ffnll5Zc9PvUqVN68skn\nVbp0ab3xxhuWXHM1W3p6+t+uYPLiiy+aHc8jWVlZSkhIUEBAgNatW6e7777b0utLL168WBs3bnRv\nwBAaGqq+ffuaHatQhIeH68033zQ7hseuNDJm1RHzsLAwDR06VLfccot2796tefPmWXolo44dO+qP\nP/5Q7dq15XA4LD1fPiMjQ6tXr9ZPP/2kwMBAhYWFqWTJkmbH8lhqaqp+/fVXXXfddVqyZInatGmj\n4OBgs2N55H/PASVLllSNGjXUoUMHS71GV1qG0eVyaf369dqyZYtJqYphYc7eK75UqVJ67bXXVKdO\nHY0bN05Hjhyx3O5e6enpkqTff/9dQ4cOVXR0tBo2bCjJmutiZuvdu3euO5gfe+wxrVixwsREnrPL\nCSynn376SUeOHFFgYKClN2DIuTJOUlKSJk6cqA0bNpiYqOASExNzbVrQrFkzsyN55PDhw5o+fbqO\nHj2qoKAgRUREqE6dOmbH8pgd5svb9Z6Zfv36Wfq+kpyeffZZ+fv7q3nz5vruu+908uRJ94IG06dP\nNzld3l1puly27I2nzFDspmQsXrxYH330kZKSkvTSSy8pMTFR7dq10yuvvGJ2tHwLDQ11X4W5XC73\naJJV18XMZocVTLIdPHjwiiewrVu3WuoEdu7cOa1Zs0YBAQF6+OGH1ahRIx08eFBhYWGWHSnLuQ5r\nqVKlLLkxRk5jxozRnj17dOHCBf3111+qU6eO3n33XbNjeaRBgwaaP3++2TEKTUZGhj755BP3PQyJ\niYmaPHmyyanyx673zAQEBGjTpk25pjJZdQWTs2fPaunSpZIuvUvTr18/TZ8+Xb169TI5Wf6YWYqN\nFLvCXLFiRVWoUEEVKlTQ4cOHNXHiREtOxZCkzZs3mx3BK1555RXFxsbqiy++UMOGDfXss8+aHclj\ndjmBDR06VDfffLMOHDigkydPqkqVKnr99dctWzJTU1O1cOFC26zBLF3aUv6jjz5SZGSknnvuOQ0d\nOtTsSB6bP3++3nzzTfe6spK1l5obMWKEHnjgAX377beqVq2a6ctjecJu98xk++OPP9znaMnaK5ic\nO3dOZ86cUeXKlZWcnKxz5865lzRFwRW7wpxzXkytWrUsW5btzN/fX+XLl9d1112nG2+8UampqZa7\n2z+bXU5gaWlpGj58uFwul0JDQ3X99dfrP//5j6677jqzo+Xb8uXLtXjxYvn6+mr8+PHuG82sLnv5\nuPPnz1v29yXbhg0btGXLFttc0JQpU0ZPP/20jh07pujoaD366KNmR8q3qlWratGiRe57ZlatWmXp\ne2ayxcTE6Ny5czpx4oTq1Klj6VU/hgwZoh49eqh8+fJKS0vTuHHjtGTJEnXr1s3saLZQ7ApzSkqK\nvvrqK2VlZSk1NTXXqIXVVsmwq8jISFWrVk3btm3TLbfcooiICC1atMjsWB559tln1aNHD5UrV07n\nz5+37Akse0589lJS8+bNs+z6nh9++KE++eQTpaam6oUXXrBNYW7atKneeustVatWTc8995wuXLhg\ndiSP1a5dO9fostU5HA4lJSUpLS1N58+ft+QIc3p6uipVqqS5c+dq6NCh7oEAydr3zGzcuFHz5s1z\nb8TicDhybf1tJWfPntWnn36qM2fO6LrrrpPD4VBISIjZsfItMzNTmZmZGj58uGbNmiWXyyWXy6Wn\nnnrK1NH/YleYmzZtqg8//FDSpS2xcy4vZ9XC/NZbb6l///5mxyg0v/76q6ZOnapdu3apbdu2Wrhw\nodmRPNamTRu1bt3a8iewnO/MVKxY0bJlWbr0x93Pz0+VK1e2/LrYOQ0fPlxpaWny9/dXfHy8/vGP\nf5gdyWNOp1MdO3ZUo0aN3D97Vl5PdvDgwfrss8/UuXNn3X///ercubPZkfLNrvfMLFmyRO+++676\n9++vQYMGqWvXrpYtzO+++646derkXjLTqt577z3Nnz9fp0+fVmhoqFwul3x8fNS8eXNTcxW7wmzl\n3aL+zpdffqm+ffvaYo1P6dLV5ZkzZ+RwOJSamuq+EcOKvvrqK7399tu6ePGi+zErzo/bv3+/wsLC\n5HK59PPPP7v/beXlsSTzF8IvTHv37tW6devcI8ufffaZZc932WswW11cXJxatmypO++8U3feeaek\nS1uYW5Fd75kpUaKE/Pz83Mv9WXkaUHp6urp06ZLrBkYrXmj26NFDPXr00Jo1a4rUu7HFblk5O7LT\nGp/Spd3kxo0bp6SkJNWsWVNjx47V3XffbXYsj/zrX//SmDFjcs31CwwMNDGRZ660LFY2qy2Pdffd\nd6tly5ZyuVz65ptv1LJlS/fnrPjHJVvXrl31+OOP5xpdstp0E6Mb+6z4DuDo0aP17bffqnr16mrV\nqpVatWqVaydGmG/mzJk6fvy49u/fr+DgYJUpU0ajRo0yO5ZHduzYcdljLVq0MCFJ4fjll1+K1Ooy\nxW6E2Y7stPySJJ08eVIbN27UmTNn3DcyWVXNmjUtW/ZzslopNvLqq6+6/22nnbHKlStXZJdjyqsr\n7cCazYqFOXuE//jx49qxY4eWLl2qX3/9VXXr1rX02sV2Mnz4cMXHx6tJkyZq0KCB2rRpY3YkjzVp\n0kSLFi1SYmKi2rRpoxtvvNHsSAVS1FaXKbaFOXvv9WwzZszQiBEjTEzkOV9fX02fPl1nzpxRaGio\nbrzxRksXnOx5WFa/01+SrrvuOkVGRqpJkybu4m+17YrtxsojLleSPSpbvnx5zZ8/X02bNnX/rFmt\nZFp1CsnVXLx4UX/++afS0tJUokQJlStXzuxIheLkyZOqWbOm2TE8sn79+lwfV6lSRX/++afWr1+v\nLl26mJSqYMaMGaOQkBDt3LlTVapU0dixY7V8+XKzY3msqK0uU+wK8+rVq7VmzRodPnxY8fHxki7N\nmc3IyLBsYR4/fryefPJJzZ07V82bN9eoUaMsu2GBZJ95WNKlu/0l6fTp0yYngV1lj8qWL19ev/zy\ni3755Rf356xWmO1mypQp2rFjh66//nqFhIRo5MiRlt6xULq0HnNAQIDOnj2rtWvXqlWrVho9erTZ\nsfLt8OHDkqQ9e/aodOnSatasmfbu3auMjAzLFuaUlBR169ZN77//vm6//XZlZWWZHalAitrqMsWu\nMHfu3FktW7bUggULNGDAAEmSj4+PJdeTzfbXX3+pZcuWmjdvngIDAy29goEkPf/882ZHKDSDBw++\nbLtiK/vhhx/0zjvv5LqJ0a6jglYRHR2tlJQUVaxYUdKlbb5LlChhi3dorO7rr7/WDTfcoHbt2ikk\nJETVq1c3O1KBffrpp1q+fLnCw8O1YcMGPfHEE2ZH8kj2AFn//v1zrcTUr18/syIViuwLgYSEBMsv\nBDB48GBt2rSpyKwuU+wKs5+fn2rXrq2RI0dq27ZtuTaQsOpVpb+/v7Zs2aKsrCzt2bPH0mtiSlKj\nRo20devWXCXTqm+j22m7YkkaNWqUHn/8cUtvWPDOO+/87eesOF1mx44dioiI0Pr161WhQgUdPHhQ\n48eP1/Tp001fhim/MjIy5Ovrq/T09Ms+Z8Xz2oYNG/Tbb7/pyy+/1Pjx45WSkqIWLVqodevW7lUz\nrMbHx0enT59231xqtU2Y/teZM2d09uxZBQQEKDk5WSkpKWZH8ti4ceM0ZswYHT58WEOGDNGECRPM\njlQg33//vXvJ3KKwukyxK8zZBg8erOuvv979S2/lG8umTJmiadOmKTk5WYsXL9bEiRPNjlQggwcP\nVmBgoH766Sf5+/tbepkfO21XLF2a59e9e3ezYxRIUlKS2REK1auvvqqYmBhVqFBB0qVpGIsXL9bY\nsWO1cuVKk9PlT0REhGbMmOFe8zd7EScrr/Vbp04dPf744+rSpYu2bdumpUuXasWKFdq9e7fZ0TwS\nHBys3r17a/r06YqKirL8brkDBgxQly5dVLFiRZ09e1bjx483O5LHGjVqpHnz5unXX39VvXr13O86\nWVVRWzK32BZml8tlm7eSa9SooaeeekpHjx5Vw4YNLT9HzuVyafLkyRo9erSmTp1q+kT/grDTdsXS\npdUyFi5cqJtuusmyN5b16NFD1apVu+zxnTt3mpCm4EqUKOGeK58t5/x/K8m+V8Eua/5+8skn2rVr\nl7799lv5+PioZcuWGjx4sO644w6zo3msQYMG7ouXm2++2ZIj/znVqlUr1+54RaWceWLFihVatmyZ\nGjZsqJ9//lmDBg0yfRpDQSQnJ6tVq1ZFZsncYleYs9/qq1Onjnbv3q2mTZu6P2fVX/xZs2Zp+/bt\nuvXWWxUTE6P7779f4eHhZsfyWIkSJXTx4kVduHBBDodDmZmZZkfy2P9uV2z1ty+dTqeOHj2qo0eP\nuh+zWmHu37+/xowZ415/2eVyac6cOfroo4+0ceNGk9Pln8vlUlZWVq6CnJmZaeldDOPi4rRy5Uo5\nnU65XC6lpKTogw8+MDtWvm3ZskX33HOPBg0aZIsLZun/r2IkWfdvZk6LFy/WiRMn1KlTJ3Xq1EkB\nAQFmR/LY6tWr9f7778vf318XLlzQ448/bunCXNSWzC12G5e0bds211t92az8lt8jjzyiNWvWyMfH\nR5mZmerZs6fWrFljdiyPbdy4UceOHVPlypU1Z84c3XHHHZo1a5bZsTyWmpqqUqVKKT4+Xrfeeqvl\nty3NKTEx8YqjtUXZqVOnNHz4cN1zzz165JFH9Pzzz6tWrVqKjIy05HJf7777rrZt26YBAwaodu3a\nSkhI0Ny5c3Xrrbeqb9++ZsfzSMeOHTV58mTFxsYqODhYX331lWVXyrGbHj16KD093RarGGX7888/\n9eGHH2rTpk2qXLmyevTooeDgYLNj5Vv//v21YMEC+fr6yuVyKTw8XG+99ZbZsTzGxiUms8tbfTnV\nqFFDaWlpKl++vDIyMixfyNq3b+/+90MPPWTJEpOZmam4uDhVrlxZjRs31qRJk+R0OtWoUSOzoxXI\n7NmztWrVKjmdTv3111+qV6+e4WYTRVH16tW1dOlSDRw4UHPnztXIkSPVp08fs2N5rEePHipXrpyi\noqKUmJio66+/Xl27dlWHDh3MjuaxatWqqVmzZoqNjdUjjzyidevWmR0J/8dOqxhlO336tH7//Xcl\nJyerQYMG2rhxo1avXq1XXnnF7Gj54nK51KVLFzVr1kwHDhzItVyuFS9q2LikiHjwwQdzvdXv6+ur\nmjVrauTIkbmmaVhBYmKi2rdvr8aNG+vnn39WyZIl3TuYWWmL7PT0dM2aNUsbN25Uenq6ypYtq3/+\n858aNGiQfH2t9aMaEREhl8ultLQ0JSQkqG3btqpZs6bGjBmjZcuWmR3PY5s3b1Z8fLyioqL05JNP\natKkSWZHyrf09HRFRUUpJSVFEyZM0FtvvaXAwEDLbSOdU4cOHSxdkP9XyZIltXPnTmVkZGjLli1K\nTk42OxL+j912k+vevbtKlSql7t27a+jQoe5pJtmrM1hJ9lK50qV3aayOjUuKiLvuukuhoaFq3ry5\ndu/erdWrV6tr16568cUXtWrVKrPj5cvs2bPNjlAopk2bpqpVq+rjjz+Wv7+/UlNT9eabb2ratGka\nO3as2fHy5fjx44qNjVVmZqY6dOigIUOGSDLe+tcKqlatKj8/P6Wlpalu3bqWnCfbrVs3hYSEaNWq\nVfL19VXLli01fPhwff3113rhhRfMjgdJkyZN0pEjRzRw4EDNnj1bAwcONDtSgfz000+aOHGizp49\nq06dOikoKMiyWzDbbTe56dOnq169epc9bsWpDL///vtlj1l1uVyJjUuKjKNHj+ruu++WdGmZnLlz\n56ply5Z6/fXXTU6Wf1d6u3Lw4MEmJCmY/fv35xoRL1eunIYNG6bevXubmMoz2aMUJUqUyLVZgdV3\nXqpRo4bWrFmj0qVLa8aMGTp79qzZkfJt1KhR7t996dJujMuXL9fLL79sYirkVL16dR04cEDx8fHq\n0aOHpUf/JWnq1KmKjo7WuHHj1K1bN4WHh1u2MNtlN7nevXtftpysy+WSw+Gw7LuA2ZuWuFwu/fDD\nD6pYsaKlC/PgwYP12WefsXGJ2fz8/LRq1So1a9ZMu3fvlp+fn/bt22fJFRmy5yy7XC4dOHDAsiew\nkiVLXvFxK66RnZKSoq1bt8rlcunPP//M9W8rmzx5shISEhQaGqp169Zp5syZZkfKt5xlOZufn5/G\njRtnQprC9ccff+TahbFWrVompvHcpEmTlJKSottuu02rV6+2xeh/3bp15XA4VLlyZZUtW9bsOAVi\nh93ksqeTuVwujRo1StOmTTM5UcFlz1eWLh3X008/bWKagrvzzjvdG/ywcYmJXnnlFc2fP19xcXFq\n1KiRXn75ZX3//feaOnWq2dHyLXu+cjYrLymXvYxUTlZcyKVp06bu6RdNmjTJ9W8r+/3337Vx40Zd\nuHBBkvTxxx9b8t0MO5o4caLi4+NVrVo190iZle5hyOnHH390T43r06fPZec4q6lQoYJiY2N14cIF\nffTRR5Zeuux/d5Oz6kZZgYGB7n+XLl0618dWlXOHzKSkJB0/ftzENJ4bMmSIXnvttSsuWern56f2\n7dsrIiLimucqdoU5ISFBNWrUUEpKSq6TcEpKimV3LMq5Jm5SUtIV5zFZwYkTJxQaGprrsew//FZj\nl01x/teIESPUqlUry6/EYkfff/+9Nm3aZMkNS/5XrVq13Ofq06dPW3ordkmKiorS/PnzValSJe3b\nt8+SAzPZatWqlWt7+W+//dbENMgp5w6ZpUqVsuSNi5L02muvSZK2bt162eecTqdpqxoVu8K8ZMkS\njR49WpGRkbket/K8pZzH4u/vb8qVV2Gw45J/dlOqVCnbjCj/+OOPunDhgnx8fDRz5kwNGDDAvZmJ\nFdWtW1cXL1609Fby2SNK6enp+uyzz1SzZk2dOnVKlSpVMjlZwZQrV05PPvmke7rM+fPnLbtt8TPP\nPKOFCxeqRIkSmj17trZu3WrJZf9yjsa6XK5c725adUMWu/0NHT169GWPRUdH6+233772YVQMNy6x\ns7Nnz8rHx8eS6xajaMt+F+P1119XmzZt1KRJE/fIf/369c2M5rGwsDCNHz9ec+bM0YABAzR9+nSt\nWLHC7FgeCwsL07Fjx1S3bl1JsvSUDLux03SZzZs3a8WKFTp79qzuvfdeDRo06G/vPynKsjcxk/7/\nO5nZ/7XaJma//fabXnrpJc2ePVt79uzR0KFDVaZMGU2fPl233Xab2fE8tmXLFkn///6sxMTEywY7\nr6ViN8Kcbf369Vq4cGGuG2Ss9kuyf/9+jR07VqtXr9YXX3yhyMhIBQQEKCIiQm3btjU7Hv5Pamqq\nHA6HPvvsM7Vp00YVKlQwO1K+5TxJ5Xw71srvzPj5+SkoKEhOp1O33Xab5acyWHFjgr+zefNmrV27\nNtf5edGiRSYmKhg7TJfJvmiuX7++WrRooW+++UadOnXS8ePHLXnRbKfR2ClTpqhnz57y9fVVdHS0\nXn75ZTVs2FDPP/+8YmJizI7nsZyr44SEhKhfv34mpinGhXnRokWaN2+eatasaXYUj7388st66aWX\nVLJkSc2aNUuLFi1SvXr1FB4eTmEuIp577jndd9992r17t7KysvTZZ5/pjTfeMDtWvmWfdD///PNc\ny2Ft2LDBrEgF5nA49MILLygkJEQbNmyw5ChZThkZGUVqG9mCmDZtmiZPnmzJi8srscN0mSuN7EVG\nRlr6otkuzp8/r3bt2ik5OVkJCQm65557JFl/GdOcc5iTkpJ0+vRpE9MU48Jcp04d91uXVpWVlaXG\njWsZMvMAACAASURBVBvr1KlTunDhgm6++WZJsuwohtGdsVea/G8FiYmJ6ty5s9asWaOYmBj17dvX\n7Ege+fzzz7V79259+OGH2r17t6RLP39xcXGW3WFu1qxZ2rt3r1q3bq1vvvnGkkvk5VTUtpEtiKCg\nIAUHB5sdo9CcPHlSbdq0sfR0mSuNVJ48edLSg0524e/vL0n6+uuvddddd0m6NI3h3LlzZsYqsJwb\nffn5+SkqKsrENMW4MJcqVUrh4eG66aab3POYhg8fbnKq/MneLnrLli3um5WcTqfS0tLMjOUxoztj\nrcrpdOrTTz9Vw4YNdebMGcu+No0bN1ZKSor8/f3db786HA7985//NDmZ51auXClJ2rt3ryTpu+++\nU40aNdShQwdLjjYXtW1kC6Jdu3bq2bNnrqW+rLzyjJ2my7z55psKCAjQ2bNntXbtWrVq1eqKN2dZ\nkVUvAIKCgjRixAjt27dPU6ZMUWJiol577TV3ebaq6OhonTp1SpmZmXI4HKa/NsW2MP/vEnJWXLqs\nZcuWCgsLU0JCgubNm6dff/1VkydPtuyIX7YvvvhCq1atcq/1K8myb/k99dRT+vDDDzV69GjFxMRo\n0KBBZkfySM2aNfXwww+7d1rKysrSnj171KBBA5OTee7gwYPy9/dX8+bN9d133+nkyZOqWrWqtm7d\nqunTp5sdL9+K2jayBRETE6Pw8HCVL1/e7CiFwi67sUrSp59+quXLlys8PFwbNmyw5E6sOdnhAiAi\nIkLx8fHq27evbrnlFh08eFANGza07Gvz888/a/LkyVq2bJn69OmjihUrKiEhQWPGjNGDDz5oWq5i\nV5g/+OADdezYUQ8//LD7sYsXL2rSpEmW20Ly3//+t9q1a6dy5cqpevXq+vXXX9WzZ0898MADZkcr\nkNmzZ2v06NG2WOv3v//9r2bPni1JGjp0qMlpCi46OloNGjTQ7/+vvXuPirLO/wD+5jIjCmrKRU1Q\nlLwAXo65opiKkrnWEazFC6jgmtjFWyZeAXH1KGYsZZtHSFMUNAWLLe+63jLNjerUeonkImexFAGV\nUENmBub3BzvPgoa/ZWD68n3m/fqLnul03pwY+MzzfL6fz/XruHz5MlxcXKTdkFVeXo4dO3YAqJkw\n8fLLLyMhIQFhYWGCk5ln7ty5OH78eLNZI9sYLi4u0n/wr00t21iBmpa/0tJS5XuqfTBTRg9/AIiI\niBAdqcFsbGzq3ATs1asXevXqJTBR4/z1r3/F4sWLAQCurq5IS0vDv//9b8TGxrJg/j19+OGHcHR0\nVA7FFRQUYP78+dKOXql9h69Lly7o0qWLwDRNo23btvDz8xMdo0nk5eWhvLxc6s1etV28eBExMTEI\nDw9HWlqasAHyTeHu3bu4ffs22rdvjzt37uDu3bvQ6/V48OCB6Ghm6d+/P5ycnODt7Q2j0SjtIiYA\nytKF2uMLZWuZq01N21gHDx6M8PBwJCQkID4+XuqfM+DRDwCyvv/VpKKiAn379gUA5SlT165dYTAY\nRMayzoJ55syZaNWqFUpLS5GYmIhly5bhj3/8o+hoVs80rkyj0WDFihXw9fVV/lhOnjxZZDSz5efn\nY/DgwWjfvr3yvcjco11dXY1Lly7B3d0dOp1O2p5sAJg3bx4mTZoEJycn/Prrr4iNjUVKSgomTJgg\nOppZFi1ahICAAHh7e6OgoACHDx+Wtne29iQWNVDLNlagZvLPm2++CQDo27evlP3+tantA4Aa1H5q\nsWnTJuVr07ktUayuYHZ1dcWWLVswY8YMtGzZErt375Z+7apalJSUAKi5UwZA+AiZpnDq1CnREZrU\n+PHjsWrVKsTHxyMhIUHaDzJATVEWEBCA27dvw9nZGTY2NhgxYoToWGa7efMmQkJCANT0zsvavwgA\n7u7uoiM0qdoj2RwcHKTdxgoA4eHhj5z5kfWMCVDzlNa0g6FPnz7SbvkDamb+b9myBcXFxRg1ahR6\n9eol5TQwNzc3XLhwAf369VOuXbhwAa6urgJTWWHBrNPp0K5dO2zatAlvvPGG8kgWkG8d5t69ezFx\n4kQkJiY+8gtMxseXMk9cqE9ubi5WrlyJ8vJyBAcHo0ePHlLfPZs6dSqmTp0KAIiJiVFm/sro3Llz\n2L59e527GTL/4bexsUFBQQG6deuGwsJCqftkd+/eDaCm5zcvLw+dO3fGoEGDBKcyz71797B582ap\nZzDXtmrVKgA1/28uX76M7OxswYkaJyMjA8HBwQDkqwEeFh0djREjRuDrr7+Gi4sLYmJisHPnTtGx\nGmzx4sWYPXs2hgwZgq5du+LatWs4f/48kpOTheayuoJ57NixddZhmk4qy7gO03RnvPboJZmZhuCb\ntrXXXlUqayGzZs0arFu3DrGxsZgwYQIiIyOlLpj37NmDlJQUGAwGGI1GaDQaHD16VHQss6xbtw7R\n0dGqecK0fPlyvPnmmygtLYWbm5tS2Mio9kxsnU6HBQsWCExjvp07d2Lbtm2wt7fHihUr6mwuk1Xt\nvzdeXl74+OOPBaZpPJ1OhxdffBHdunVTdhjI2spUVlaGCRMmYN++fXj66ael/dDs4eGBvXv34uTJ\nk/jpp5/Qp08fZd23SFZXMKtpHabpl29QUBAuXryoFDHFxcWCk5mn9mD8u3fv4ueff4aHhwccHR0F\npmq8rl27wsbGBu3bt5f+e9m1axfS0tKQlJSEsWPHKlMmZNSpUycMHTpUdIwm4+3tjfj4ePj4+OD4\n8ePo3bu36EhNoqqqCteuXRMdwywHDhzAkSNHcO/ePSxZskQVBbPprAlQ00Yn8/hCoKb3X03y8/MB\nAEVFRbCzsxOcxnwODg7NblKO1RXMajR37lzo9XoUFxejqqoKbm5uGDdunOhYZjt69CiSkpJQVVWl\nPBGQdX5x27ZtsWfPHlRUVODgwYPST8twc3ODm5sb7t+/j8GDB2Pjxo2iI5nN2dkZcXFxdSYxyNyT\nbTr05+PjI/2hv9rbPg0Gg5SjvoCaR/xarRbt27eXun2pNtNZE6Dm+9uwYYPANI3n4+PzSN+vrGJj\nYxEdHY38/HzMnz8fK1euFB1JVVgwq8CdO3eQnp6OmJgYrFixAjNmzBAdqVFSUlKQkZGBmTNnYvbs\n2QgJCZG2YI6Pj0dycjLatWuHS5cuYe3ataIjNUrr1q1x/PhxZbVvWVmZ6EhmMx0sU8PhUkBdh/5k\nniRTH1Ormaw++OADvPrqq9IuXKmPWvp+AaBnz551ngBQ02LB/B96vV7a8TgODg4AamYXOjg4SLm1\nsDY7OztotVrY2NjAxsZG6sMy2dnZCAgIUEYVFRQUoFOnTtL2za5ZswaFhYVYuHAhUlJSEBsbKzpS\ngxUVFaFjx46qO2SqhkN/j9uwJuNq7Ly8PERFRSmHF6OiopTXZLv7f+7cObz66quiYzQ5tfT9AsCn\nn36KzZs31znILNvZrObMagvm3bt3Y/v27Urfr729PY4dOyY6llnGjBmDjRs3onfv3pg0aZLwxvjG\nGjhwIBYuXIibN28iLi5OGWAuow0bNqC0tBS+vr744YcfoNFooNPpMHHiRKmWF1y8eBF9+/bF999/\nDwC4ffs2hg0bBr1ej6+++go+Pj7SrDFOSUnB8uXLlUOmAKQ/XAqo49DfpUuX8ODBAwQHB2PAgAHS\n35Wt3a7w8PIS2ZSVldV75792C42M1NL3u2XLFiQlJaFTp06io6iSjVH230hmCgoKwtatW+scXqo9\nIFtWV65cgaenJ1q0aCE6SqOcOXMGOTk56N69u7KVUUYzZ87Epk2b0KJFC+h0OsybNw/vv/8+pk2b\nhoyMDNHx/mebN2/GK6+88pt3APV6Pa5evYrMzEwByRrOdIf5YVlZWdJvmFTDYdmcnBzs27cPFy5c\nwKBBgxAcHCzlLFm1GTZsWL2HFmW8+2+Sk5ODFStWID8/H927d8fKlSvh6+srOpZZXnvtNeGj19TM\nau8wq+nwUnZ2NtLT0+s8hpH1F9iPP/6Io0eP4s6dO+jYsaP0I/Pu3LmjfHjRarW4c+cOtFqtdI/9\nXnnlFQCP/lwVFxfDzc0NmzdvFhHLLLNmzcKOHTuU+etAzTapjIwMnD59WlywRlLLYdmePXsqkwu+\n/vprJCYmoqioSKoPmGrUrVs3af+uPE7tvt8bN25IfXfWwcEBkZGR8Pb2VsVK+ebGagtmNR1eWrZs\nGaZNmyZtX6zJ4cOHsWXLFoSGhqJPnz64fv065s+fj/nz52P06NGi45nl2WefRVhYGPr164eLFy8i\nMDAQH330EXr06CE6mlnee+897N69G3q9Hg8ePICnpycOHjyoFNQymDNnjlI06/V6LFq0CFqtVpo7\n5PVR02HZe/fu4R//+AcOHDiAiooKZbEEiSNzq8LjfPjhh2jTpg3Ky8uRmZmJ4cOHP7aXvjnjWm/L\nstqC+eHDSytWrBAdyWwuLi6YOHGi6BiNlpqaip07d9bpwX7ppZfw+uuvS1swz5kzB88++yyuXr2K\nkJAQ9OzZE7dv30ZYWJjoaGY5efIkzpw5g/j4eMyYMUPKPtmxY8fCYDBgxowZKC8vR0REhLK9UGZq\nOCx76NAhHDp0CNevX8eYMWOwatUq1a3JltX27dtFR7CIY8eOYefOnYiMjMShQ4ekHWEIqG+lfHNj\ntQXzO++8g7i4OAA1d2iXLFkibf9i586dsXnz5jqPYWQ8hGFvb//IgUUnJyep72zcuHEDX3zxBSor\nK3H16lUcO3ZM6rFMrq6u0Gq1uH//Prp27SrtbNlx48ahqqpKWS+vBmo4LLtw4UJ0794dvXv3Rk5O\nDt59913lNdmmSpAcbG1tUVpaChcXFwDAgwcPBCcyn5pWyjdHVlcw79q1C0lJSSgrK6szFcPLy0tg\nqsbR6/UoKChAQUGBck3Ggrm+cXiy9fvW9sYbb8Df31/qvrjaOnbsiI8//hgtW7ZEYmIiysvLRUdq\nsIULFypr1wsLCzFlyhTlUJnMRdnChQtx5swZ+Pj4SHtYVuYpJSSnwYMHIzw8HAkJCYiPj5e6rUEt\nK+WbK6udkpGcnIzXXntNdAyqZejQofD3969zzWg04quvvsK5c+cEpWqcGTNmICUlRXSMJlNdXY0b\nN26gbdu2+Pvf/46hQ4dK92EzKyur3tdkfcr08GHZsWPHwtPTU3QsUhHTaMnfGi0n4w2a3yLzPoaH\nVVRUYNKkSdi/f7/oKKphdXeYTUJDQ3HgwAFlDnNxcbG0Q9k/+OADbNmyRVlgAsi5Kau+Fasyzy/t\n0aMHDh48WKddplu3boJTNZzBYMDJkyfRpk0bDBkyBEBNL/DatWulW40ra1FcHzUelqXm5/z58+jb\nty8OHjz4yGsyFsyrV69GXFwcJk+e/MjTzT179ghK1TgPr5SfPn26wDTqY7V3mKdNm4bu3bsjJycH\nLVq0QMuWLaWdXxgcHIz09HQpD/mo3cPriWVdjrFgwQLY2dmhpKQEY8aMgbu7O2JiYhARESHtB021\nCAsLw9atW+v0/9+7dw+vv/460tLSBCYjtbp9+3adXt8nn3xSYBrzmPqW8/Pz69xsAmrOBRE9zGrv\nMBuNRqxevRrLly/H2rVrMWXKFNGRzObu7v7IG56ah7S0NFUskygsLERmZiZ0Oh1CQkKg0WiQmpoq\nXTuGGqnxsCw1X3FxcTh//jycnZ2VDZky3pE1HfKLjY1VDsvJKisrC2+99RYcHR2xZs0aLvqxEKst\nmO3s7FBZWYmKigrY2NigqqpKdCSz6fV6BAUFoWfPnsqjJZkPL6mJWpZJODk5AYCydGXbtm144okn\nBKciQJ2HZan5+vHHH3Hs2LF6f+5k06pVK8THx6Nbt26wtbUFAEyePFlwqoZ59913kZCQgLKyMiQm\nJuJvf/ub6EiqZLUF89SpU7Fjxw4888wzCAgIwMCBA0VHMtusWbNER6B6qGmZhImzszOL5WYkLy8P\nUVFRda4ZjUbk5+cLSkRqZtqQa/oQLbsBAwYAAG7duiU4ifk0Go3ytO/9998XnEa9rLZgDgwMVE7D\nPv/887h9+7bgRObz8fHBli1bUFxcjFGjRqFXr16iI9F/qGGZBPDfosw037N2gcanGWKp8bAsNT+m\nw3G3bt3CmDFj4OHhAQDStmSYzJ07F7du3UJlZaXoKE2CT5Ysx2oL5qioKOWxxYEDB5CSkoKjR48K\nTmWe6OhojBgxAl9//TVcXFwQExODnTt3io5FUMcyCaBuUcZCrHlR29QPap5qz/g19S7rdDpotVqB\nqRpv1apV+Pzzz+Hm5iZtT/bNmzeRnp4Oo9GofG0iW3tJc2a1BbO/vz8WL16Mu3fvonXr1sjIyBAd\nyWxlZWWYMGEC9u3bh6effpqfMJuR2sskvLy8MGrUKNGRzMKijMi6mSZHZGRkoKCgAEuXLsXLL7+M\n4OBgqadK/Otf/8Lx48eV/mUZBQUFoaSk5JGvqWlZXcGs0+kAACEhIfj1119x/vx5rF27VnCqxjP1\nKxYVFfF0fDNQ+xM+ALRu3RrFxcVIT0/nJ34iktbu3buxd+9eADU7AKZNm4YXX3xRcCrzde3aFZWV\nldK2ywE1bSVkeVZXMJsmFdQeP226duLECYHJzBcbG4vo6Gjk5+dj/vz5WLlypehIVo+f8IlIjWxt\nbWFvX1M6aDQa6adl3LhxA6NGjVJGscnYkkG/D6tdXEJkSQUFBfW+JuOmPyIiANi0aRPOnj2Lfv36\n4fLlyxg+fDheeeUV0bHM9vPPPz9yTeYWE7IcqyuYf2sNpomsnyo3btyIXbt21WnFkHE1tpqEh4c/\n8iQDkHfTHxGRSXZ2NgoKCtC9e3f07t1bdJxG2bhx4yPXZG1x+PTTT+v8s729PTp27Ig//OEPghKp\ni9W1ZNQ+6asWp06dwqlTp7jtrxmpbyWxqYeeiEhGRUVFSEpKQl5eHrp164bly5fD3d1ddCyzmTb+\nGY1G/PDDD1Ifmj948CAqKiowYMAAXLhwAZWVlbCzs4Ovry+io6NFx5Oe1RXMpkctRUVFiI+PR35+\nPjw9PbF8+XLByczn7Oys9JRR87Jnzx6kpKTAYDDAaDRCo9FIO76QiCg2NhZhYWEYNGgQsrKyEBMT\ngx07doiOZbaHx2RGRkYKStJ4BoMBqampsLW1RXV1NWbNmoWtW7dyFGgTsdoqSw1v+oULF8LGxgal\npaV46aWX0KNHDwA1j/25TKJ52LVrF9LS0pCUlISxY8dK9zNGRFRbZWUlnn32WQDA6NGjsX37drGB\nGqn2eZOSkhJcv35dYJrGKSsrg8FggFarhcFgwC+//AKATzabitUWzA+/6VNSUgQnajh+amz+3Nzc\nlFWygwcP/s1+OSIiWVRVVeHKlSvo1asXrly5IjpOo8XFxSlft2jRAkuXLhWYpnGmTJmCoKAg9OjR\nA1evXkVkZCSSk5MxfPhw0dFUwWoL5off9DKOxvHz80N6ejpCQkJgb2+Pb775Brm5uQgLCxMdjf6j\ndevWOH78uDKqqKysTHQkIiKzrVixAtHR0SgpKYGbmxvWrFkjOlKjmM6blJeXw9bWFk5OToITmW/i\nxIkYPXo0CgsL0aVLF7Rr1w5VVVXczdBErG5Khkl2djZiY2PrvOllO+27ceNG5OTkYP369WjZsiV+\n+uknvPXWW/D29sacOXNExyMA9+7dQ2FhIZydnZGSkoLAwEBuzSMi6RQVFaFjx46PXM/KypLyd9rl\ny5cRExODvXv34vTp04iLi0ObNm2wdOlSBAYGio5nluzsbKSnp6OyslK5tm7dOoGJ1MXqCmY1vekn\nTpyIjIyMOnfH9Xo9QkND8cknnwhMRiZ3797FuXPn8ODBAxiNRtjY2Ei9FYuIrFNQUBB27NiB9u3b\nK9c2bdqEjIwMnD59WlwwM02fPh3Lly9H79698cILL+Dtt9+Gp6cnIiMjpR0xO378eEybNq1OjcN2\njKZjdS0Zs2bNUs2bvlWrVo+0kmg0Gjg6OgpKRA+bM2cOOnfurIwukrH1h4hozpw5yt9PvV6PRYsW\nQavVIjMzU3Q0s1RXV6N37964efMmKioq0KdPHwA1mwxl5eLigokTJ4qOoVpWVzCr6U3v4OCAa9eu\nwcPDQ7l27do1FmXNiNFo5CMxIpLe2LFjYTAYMGPGDJSXlyMiIgJTp04VHctsplGsX3zxBfz9/QHU\nPKG9f/++yFiN0rlzZ2zevBne3t5KHTBs2DDBqdTD6gpmNb3pFy1ahNmzZ8Pf3x8eHh64fv06zp49\ni/Xr14uOZvVMY3w8PDzw3XffwdfXV3lNq9WKikVEZLZx48ahqqoKe/fulf5Opr+/P0JDQ5VFLIWF\nhVi9ejVeeOEF0dHMptfrUVBQUGdUHgvmpmN1Pcwmn332Gfbu3Ytt27ZJXcDcvXsXJ06cQHFxMZ58\n8kmMHDlS6lO+ahEYGFjvauwTJ04ISkVEZB7T3H+j0YhvvvkGbm5u6Nq1KwBIO/c/Pz8fTk5O6NCh\nAwoLC3HlyhU899xzomM1mMFggL29/W/OW5a5vmlurK5gVuObnpo/0y80IiIZZWVl1fuabAfm1SYq\nKgqJiYnKjRoAyiFz3qBpOlZXMPNNT7+HoqIiLFiwAB988AHatm2L/fv3Iy0tDe+//z46dOggOh4R\nEakY5y83PasrmIl+D6+++qoyRN7k8OHD+Oyzz5CcnCwwGRERqdG+fftgZ2cHnU6HhIQEzJw5EzNn\nzhQdSzXknZ9C1Izdv3+/TrEMAM8//zx++eUXQYmIiEjNUlNTMXToUOzbtw+nT5/GqVOnREdSFRbM\nRBZQ34MbPtAhIiJLcHBwAAA4OjpCq9XCYDAITqQuLJiJLKBfv35ITU2tcy0tLQ29evUSlIiIiNTM\nw8MDkydPRkhICDZu3Mi/N02MPcxEFqDT6bB27VqcPHkSrq6uKC8vx7Bhw7Bs2TLlLgAREVFTun//\nPhwdHVFaWqpsmKWmwYKZyIL0ej3KysrQrl07jpUjIqImt2nTJsyePVsZm1sbx+U2Hf4FJ7IgjUYD\nV1dX0TGIiEilAgMDAQChoaF1rj9cPFPjsIeZiIiISFJPPfUUjh07hurqavj5+cHPzw/du3fHrl27\nREdTFd5hJiIiIpLUokWLYGdnh5KSEuTl5cHd3R0xMTGIiIgQHU1VWDATWcCwYcPqfe3s2bO/YxIi\nIlKzwsJCZGZmQqfTISQkBBqNBqmpqfDy8hIdTVVYMBNZAItiIiL6PTg5OQEAtFotqqursW3bNjzx\nxBOCU6kPC2YiC/r++++RmZkJvV4PACguLsbWrVsFpyIiIjVydnZmsWwhLJiJLOgvf/kLIiMjcfTo\nUfTs2RM6nU50JCIiUpG8vDxERUXBaDQqX5twrFzTYcFMZEHt2rXDuHHjcO7cOcybNw/Tpk0THYmI\niFRkw4YNytcPj5ajpsOCmciCbG1tkZubi4qKCly9ehW//PKL6EhERKQifn5+oiNYBW76I7Kg3Nxc\n5ObmokOHDli7di2Cg4Px5z//WXQsIiIiagAWzEQWtHXrVrz00kto37696ChERERkJrZkEFlQq1at\nMGfOHLi6uiIkJAQjRozgulIiIiLJ8A4z0e8gNzcXycnJ+PbbbxESEoKIiAi0bdtWdCwiIiL6H7Bg\nJrKg8vJyHDx4EJ999hlat26NSZMmoaqqCtu3b8eePXtExyMiIqL/AVsyiCxowoQJCA4OxjvvvIMn\nn3xSuZ6dnS0wFRERETUE7zATWZBpkHxeXh48PT3h7e0tOhIRERE1EAtmIgtKS0vDgQMH0K9fP3z3\n3Xd4/vnnMXPmTNGxiIiIqAFYMBNZ0OTJk7Fr1y7Y29tDr9cjNDQUn3zyiehYRERE1AC2ogMQqZnR\naIS9fc1RAY1GA41GIzgRERERNRQP/RFZ0MCBAzF//nwMHDgQ3377LQYMGCA6EhERETUQWzKILOz0\n6dPIz8+Hl5cXRo4cKToOERERNRALZiILMBgMOHnyJNq0aYMhQ4YAAEpLS7FmzRps2LBBcDoiIiJq\nCLZkEFnAokWLYGdnh5KSEuTl5cHd3R0xMTGIiIgQHY2IiIgaiAUzkQUUFhYiMzMTOp0OISEh0Gg0\nSE1NhZeXl+hoRERE1EAsmIkswMnJCQCg1WpRXV2Nbdu24YknnhCcioiIiMzBsXJEFubs7MximYiI\nSGI89EdkAUOHDoW/vz+MRiP++c9/wt/fX3ktMTFRYDIiIiJqKBbMRBaQlZVV72t+fn6/YxIiIiJq\nLBbMRERERESPwR5mIiIiIqLHYMFMRERERPQYLJiJiCRy8eJFxMTEiI5BRGRV2MNMRERERPQYvMNM\nRNTMBAUFIT8/HwAQFRWFlStXAgC+//579O/fH+Hh4QCA8PBwvP3225g8eTKee+45fP755wCAZcuW\nYc2aNQgLC0NgYCA++eQTAMD9+/exdOlS/OlPf8L48eNx4MABAEBmZibCw8MRFBSEd9555/f+domI\nmj1u+iMiamYCAgJw/vx5eHl5IScnR7l+5swZLFmyBEeOHFGu6fV6pKen4+TJk3jvvfcQEBAAACgq\nKsJHH32EnJwcREREICQkBElJSfD19cX69etx7949hIaGon///gCAmzdv4tChQ7C3558FIqKH8Q4z\nEVEzM3LkSJw/fx55eXl46qmnYGtri1u3buHMmTNwdHSs8+8OHz4cANCjRw+UlZUp15955hnY2Nig\nZ8+eyvUvv/wSe/bswfjx4zF16lT8+uuvyM3NBQD4+PiwWCYiqgd/OxIRNTMDBgzAkiVL8OWXX8LP\nzw/Ozs44cuQI9Ho9OnXqVOffbdGiBQDAxsbm/71eXV2NhIQE+Pr6AgBKS0vRtm1b7N+/Hw4ODpb8\nloiIpMY7zEREzYydnR369++PtLQ0+Pn5YciQIUhOTlbaLcw1ZMgQ7N69GwBQXFyM4OBg3Lhxoyki\nExGpGgtmIqJmKCAgABUVFfDy8oKfnx9u3bqFkSNHNuq/OXfuXDx48ADjxo3D9OnTsXjxYnTpUJk5\nlwAAAFxJREFU0qVpAhMRqRjHyhERERERPQbvMBMRERERPQYLZiIiIiKix2DBTERERET0GCyYiYiI\niIgegwUzEREREdFjsGAmIiIiInoMFsxERERERI/BgpmIiIiI6DH+D5ZxYzTx0bSbAAAAAElFTkSu\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f367c9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Number og wins per team\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='winner', data=match)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>winner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2009</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2013</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2014</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2015</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2016</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   season                 winner\n",
       "0    2008       Rajasthan Royals\n",
       "1    2009        Deccan Chargers\n",
       "2    2010    Chennai Super Kings\n",
       "3    2011    Chennai Super Kings\n",
       "4    2012  Kolkata Knight Riders\n",
       "5    2013         Mumbai Indians\n",
       "6    2014  Kolkata Knight Riders\n",
       "7    2015         Mumbai Indians\n",
       "8    2016    Sunrisers Hyderabad"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Champions each season\n",
    "temp_df = match.drop_duplicates(subset=['season'], keep='last')[['season', 'winner']].reset_index(drop=True)\n",
    "temp_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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k2BrO8Cii6MaFC8gIxmXLmNZH0TtGt4n5EabX62orSwCwmznCJCKKBp5QTI/H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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f3736198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Toss Decison\n",
    "temp_series = match.toss_decision.value_counts()\n",
    "labels = (np.array(temp_series.index))\n",
    "sizes = (np.array((temp_series / temp_series.sum())*100))\n",
    "colors = ['gold', 'lightskyblue']\n",
    "plt.pie(sizes, labels=labels, colors=colors,\n",
    "        autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "plt.title(\"Toss decision percentage\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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KpSRJly5dsmrVqsLP79Gjczp0aF/JEf8hvXp1rfYIFPD1KU9bzKktzvx+4utTnraYU1uc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\nFPg/x1COJo5ldhkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f36f2d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='season', hue='toss_decision', data=match)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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R36nUfixMah+hAq6vIRreBpz/hQQ/S5IiQo0X+LZCxfoKFf0TJIxOldEvQeKpKhQyFiaF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\na4fsrofOXQfZUw/ZY4cSDECv0yMjPQW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      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f37f02e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_of_wins = (match.win_by_wickets>0).sum()\n",
    "num_of_loss = (match.win_by_wickets==0).sum()\n",
    "labels = [\"Wins\", \"Loss\"]\n",
    "total = float(num_of_wins + num_of_loss)\n",
    "sizes = [(num_of_wins/total)*100, (num_of_loss/total)*100]\n",
    "colors = ['gold', 'lightskyblue']\n",
    "plt.pie(sizes, labels=labels, colors=colors,\n",
    "        autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "plt.title(\"Win percentage batting second\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Niranjan\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:141: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "image/png": 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MHz9e9957r2JjYxUaGqri4mJt375dr7/+ul5++WW3xwsoU6ZMueTXFi1a5MdJ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f3bc1cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "match[\"field_win\"] = \"win\"\n",
    "match[\"field_win\"].ix[match['win_by_wickets']==0] = \"loss\"\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='season', hue='field_win', data=match)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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lTUREJAmWNhERkSRY2kRERJJgaRMREUmCpU1ERCQJljYREZEkWNpERESSYGkTERFJgqVN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\nXyE+Ph4rVqzQ3UI1S5cuxbl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WrVrp+g2Gk5MTXn/9da1j5Ourr75CeHg4/Pz88MILL+DG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\n2kRERJL4PyAgdbqVJnVKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f37f1518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Top players of the match\n",
    "temp_series = match.player_of_match.value_counts()[:10]\n",
    "labels = np.array(temp_series.index)\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_series), width=width, color='y')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Top player of the match awardees\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VzZ8/31sZAQCArlLaFSpUUExMjHbu3Kn9+/fLx8dHTz/9tB544AFv5QMAAP/nqvO0HQ6H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\nAAA2QWkDAGATlDYAADbx/wFZWAlTzoDfuwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f3422668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Top Umpiers\n",
    "temp_df = pd.melt(match, id_vars=['id'], value_vars=['umpire1', 'umpire2'])\n",
    "\n",
    "temp_series = temp_df.value.value_counts()[:10]\n",
    "labels = np.array(temp_series.index)\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_series), width=width, color='r')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Top Umpires\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Niranjan\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:141: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "image/png": 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BdT6Yt8tkaZXJWUUdA4TU4ox9CsxYZ/kJVD2NUfswLodX3a4iPajJD2+WhfisCs7p42SQ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\nBaaIiEgYFJgiIiJh+P/uycXnPCNPKAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f3678e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#How lucky are the toss winning teams? \n",
    "match['toss_winner_is_winner'] = 'no'\n",
    "match['toss_winner_is_winner'].ix[match.toss_winner == match.winner] = 'yes'\n",
    "temp_series = match.toss_winner_is_winner.value_counts()\n",
    "\n",
    "labels = (np.array(temp_series.index))\n",
    "sizes = (np.array((temp_series / temp_series.sum())*100))\n",
    "colors = ['gold', 'lightskyblue']\n",
    "plt.pie(sizes, labels=labels, colors=colors,\n",
    "        autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "plt.title(\"Toss winner is match winner\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ADFAwAwAAAAYomAEAAAADvmYHAICsIHhDmEePF/7kBI8eDwBgHmaYAQAAAAMUzAAAAIAB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\nXOHll18mOTlZYTJhMWLECNq0acOZM2dwdXWlVq1aNjXDVO8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o0KFs3bqVFStW4OTkRIsW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\nCyGEEEIIcQf/DwXVnoqN9yoQAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f3b532e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='toss_winner', hue='toss_winner_is_winner', data=match)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# From scores "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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j+E2bNgGQlJREREQEL7zwAtOnTyciIoKEhAScTicbNmwgPT2d+Ph4kpKSWLx4MbNmzSIn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\nuukm+vXrp4L/G3r16oXNZuPRRx/ljz/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      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f3bbf828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Little Batsman Analysis\n",
    "temp_df = score.groupby('batsman')['batsman_runs'].agg('sum').reset_index().sort_values(by='batsman_runs', ascending=False).reset_index(drop=True)\n",
    "temp_df = temp_df.iloc[:10,:]\n",
    "\n",
    "labels = np.array(temp_df['batsman'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_df['batsman_runs']), width=width, color='blue')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Top run scorers in IPL\")\n",
    "#autolabel(rects)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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aBzNaBzNaR21ltEnBb9u2DSqVCllZWfj1118RGxtr8T26wWCAm5sbXF1dYTAYLJZrNBqL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\nGPQPbqO5TUneIbkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f3a64fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp = score.groupby('batsman')['batsman_runs'].agg(lambda x: (x==4).sum()).reset_index().sort_values(by='batsman_runs', ascending=False).reset_index(drop=True)\n",
    "temp = temp.iloc[:10,:]\n",
    "\n",
    "labels = np.array(temp['batsman'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_df['batsman_runs']), width=width, color='green')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Batsman with most number of boundaries.!\")\n",
    "#autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CfH19ERwcDF9fX5ibmyMiIqKsYhIREcmC0Qs+Ojpa/++NGzcW+bqPjw98fHwKbbO0tMTy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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x218f3aa6160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp = score.groupby('batsman')['batsman_runs'].agg(lambda x: (x==6).sum()).reset_index().sort_values(by='batsman_runs', ascending=False).reset_index(drop=True)\n",
    "temp = temp.iloc[:10,:]\n",
    "\n",
    "labels = np.array(temp_df['batsman'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_df['batsman_runs']), width=width, color='m')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Batsman with most number of sixes.!\")\n",
    "#autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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gLi4Orq6ucHJyQkJCArKyspCRkYHU1FSoVCq4uLjg6NGj+nWbNm1a/LskIiIi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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x277832bb438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp = score.groupby('batsman')['batsman_runs'].agg(lambda x: (x==0).sum()).reset_index().sort_values(by='batsman_runs', ascending=False).reset_index(drop=True)\n",
    "temp = temp_df.iloc[:10,:]\n",
    "\n",
    "labels = np.array(temp_df['batsman'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_df['batsman_runs']), width=width, color='c')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Batsman with most number of dot balls.!\")\n",
    "#autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}