ipl-fods.ipynb

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     "text": [
      "['ipldata', 'ipl2020-players-dataset']\n"
     ]
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.animation as animation\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import folium\n",
    "\n",
    "import os\n",
    "print(os.listdir(\"../input\"))"
   ]
  },
  {
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     "text": [
      "(756, 17)\n",
      "(179078, 20)\n"
     ]
    }
   ],
   "source": [
    "data=pd.read_csv('../input/ipldata/matches.csv',index_col=0)\n",
    "print(data.shape)\n",
    "\n",
    "deliveries=pd.read_csv('../input/ipldata/deliveries.csv',index_col=0)\n",
    "print(deliveries.shape)"
   ]
  },
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></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",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2017-04-05</td>\n",
       "      <td>Sunrisers Hyderabad</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>Sunrisers Hyderabad</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017</td>\n",
       "      <td>Pune</td>\n",
       "      <td>2017-04-06</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>SPD Smith</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017</td>\n",
       "      <td>Rajkot</td>\n",
       "      <td>2017-04-07</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>CA Lynn</td>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017</td>\n",
       "      <td>Indore</td>\n",
       "      <td>2017-04-08</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>GJ Maxwell</td>\n",
       "      <td>Holkar Cricket Stadium</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2017</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2017-04-08</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "    season       city        date                        team1  \\\n",
       "id                                                               \n",
       "1     2017  Hyderabad  2017-04-05          Sunrisers Hyderabad   \n",
       "2     2017       Pune  2017-04-06               Mumbai Indians   \n",
       "3     2017     Rajkot  2017-04-07                Gujarat Lions   \n",
       "4     2017     Indore  2017-04-08       Rising Pune Supergiant   \n",
       "5     2017  Bangalore  2017-04-08  Royal Challengers Bangalore   \n",
       "\n",
       "                          team2                  toss_winner toss_decision  \\\n",
       "id                                                                           \n",
       "1   Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "2        Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
       "3         Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "4               Kings XI Punjab              Kings XI Punjab         field   \n",
       "5              Delhi Daredevils  Royal Challengers Bangalore           bat   \n",
       "\n",
       "    result  dl_applied                       winner  win_by_runs  \\\n",
       "id                                                                 \n",
       "1   normal           0          Sunrisers Hyderabad           35   \n",
       "2   normal           0       Rising Pune Supergiant            0   \n",
       "3   normal           0        Kolkata Knight Riders            0   \n",
       "4   normal           0              Kings XI Punjab            0   \n",
       "5   normal           0  Royal Challengers Bangalore           15   \n",
       "\n",
       "    win_by_wickets player_of_match                                      venue  \\\n",
       "id                                                                              \n",
       "1                0    Yuvraj Singh  Rajiv Gandhi International Stadium, Uppal   \n",
       "2                7       SPD Smith    Maharashtra Cricket Association Stadium   \n",
       "3               10         CA Lynn     Saurashtra Cricket Association Stadium   \n",
       "4                6      GJ Maxwell                     Holkar Cricket Stadium   \n",
       "5                0       KM Jadhav                      M Chinnaswamy Stadium   \n",
       "\n",
       "           umpire1        umpire2 umpire3  \n",
       "id                                         \n",
       "1      AY Dandekar       NJ Llong     NaN  \n",
       "2   A Nand Kishore         S Ravi     NaN  \n",
       "3      Nitin Menon      CK Nandan     NaN  \n",
       "4     AK Chaudhary  C Shamshuddin     NaN  \n",
       "5              NaN            NaN     NaN  "
      ]
     },
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   ],
   "source": [
    "data.head()"
   ]
  },
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    "tags": []
   },
   "source": [
    "**Let's look at cities to have hosted a IPL GAME**"
   ]
  },
  {
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Hyderabad', 'Pune', 'Rajkot', 'Indore', 'Bangalore', 'Mumbai',\n",
       "       'Kolkata', 'Delhi', 'Chandigarh', 'Kanpur', 'Jaipur', 'Chennai',\n",
       "       'Cape Town', 'Port Elizabeth', 'Durban', 'Centurion',\n",
       "       'East London', 'Johannesburg', 'Kimberley', 'Bloemfontein',\n",
       "       'Ahmedabad', 'Cuttack', 'Nagpur', 'Dharamsala', 'Kochi',\n",
       "       'Visakhapatnam', 'Raipur', 'Ranchi', 'Abu Dhabi', 'Sharjah', nan,\n",
       "       'Mohali', 'Bengaluru'], dtype=object)"
      ]
     },
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   ],
   "source": [
    "data['city'].unique()"
   ]
  },
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   "source": [
    "**Two points:**\n",
    "\n",
    "*** 1. There are 7 NaN values. On closer inspection we find all NaN values belong to venue of Dubai International Cricket Stadium ***\n",
    "\n",
    "*** 2. Bangalore underwent a name change to Bengaluru ***"
   ]
  },
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></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",
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       "      <th>player_of_match</th>\n",
       "      <th>venue</th>\n",
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       "      <th>id</th>\n",
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       "      <th>462</th>\n",
       "      <td>2014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-04-19</td>\n",
       "      <td>Mumbai Indians</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>Royal Challengers Bangalore</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>PA Patel</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>Aleem Dar</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>2014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-04-19</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>JP Duminy</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>Aleem Dar</td>\n",
       "      <td>VA Kulkarni</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>2014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-04-23</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>RK Illingworth</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>2014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-04-25</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>2014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-04-25</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>MM Sharma</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>BF Bowden</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>2014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-04-28</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>Sandeep Sharma</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>BF Bowden</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>2014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-04-30</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     season city        date                        team1  \\\n",
       "id                                                          \n",
       "462    2014  NaN  2014-04-19               Mumbai Indians   \n",
       "463    2014  NaN  2014-04-19        Kolkata Knight Riders   \n",
       "467    2014  NaN  2014-04-23          Chennai Super Kings   \n",
       "469    2014  NaN  2014-04-25          Sunrisers Hyderabad   \n",
       "470    2014  NaN  2014-04-25               Mumbai Indians   \n",
       "475    2014  NaN  2014-04-28  Royal Challengers Bangalore   \n",
       "477    2014  NaN  2014-04-30          Sunrisers Hyderabad   \n",
       "\n",
       "                           team2                  toss_winner toss_decision  \\\n",
       "id                                                                            \n",
       "462  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "463             Delhi Daredevils        Kolkata Knight Riders           bat   \n",
       "467             Rajasthan Royals             Rajasthan Royals         field   \n",
       "469             Delhi Daredevils          Sunrisers Hyderabad           bat   \n",
       "470          Chennai Super Kings               Mumbai Indians           bat   \n",
       "475              Kings XI Punjab              Kings XI Punjab         field   \n",
       "477               Mumbai Indians               Mumbai Indians         field   \n",
       "\n",
       "     result  dl_applied                       winner  win_by_runs  \\\n",
       "id                                                                  \n",
       "462  normal           0  Royal Challengers Bangalore            0   \n",
       "463  normal           0             Delhi Daredevils            0   \n",
       "467  normal           0          Chennai Super Kings            7   \n",
       "469  normal           0          Sunrisers Hyderabad            4   \n",
       "470  normal           0          Chennai Super Kings            0   \n",
       "475  normal           0              Kings XI Punjab            0   \n",
       "477  normal           0          Sunrisers Hyderabad           15   \n",
       "\n",
       "     win_by_wickets player_of_match                                venue  \\\n",
       "id                                                                         \n",
       "462               7        PA Patel  Dubai International Cricket Stadium   \n",
       "463               4       JP Duminy  Dubai International Cricket Stadium   \n",
       "467               0       RA Jadeja  Dubai International Cricket Stadium   \n",
       "469               0        AJ Finch  Dubai International Cricket Stadium   \n",
       "470               7       MM Sharma  Dubai International Cricket Stadium   \n",
       "475               5  Sandeep Sharma  Dubai International Cricket Stadium   \n",
       "477               0         B Kumar  Dubai International Cricket Stadium   \n",
       "\n",
       "             umpire1         umpire2 umpire3  \n",
       "id                                            \n",
       "462        Aleem Dar    AK Chaudhary     NaN  \n",
       "463        Aleem Dar     VA Kulkarni     NaN  \n",
       "467  HDPK Dharmasena  RK Illingworth     NaN  \n",
       "469        M Erasmus          S Ravi     NaN  \n",
       "470        BF Bowden       M Erasmus     NaN  \n",
       "475        BF Bowden          S Ravi     NaN  \n",
       "477  HDPK Dharmasena       M Erasmus     NaN  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['city'].isnull()==True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:15.235155Z",
     "iopub.status.busy": "2020-10-27T15:54:15.234217Z",
     "iopub.status.idle": "2020-10-27T15:54:15.237514Z",
     "shell.execute_reply": "2020-10-27T15:54:15.236906Z"
    },
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data['city'].fillna('Dubai',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:15.348500Z",
     "iopub.status.busy": "2020-10-27T15:54:15.347636Z",
     "iopub.status.idle": "2020-10-27T15:54:15.351331Z",
     "shell.execute_reply": "2020-10-27T15:54:15.350521Z"
    },
    "papermill": {
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     "end_time": "2020-10-27T15:54:15.351474",
     "exception": false,
     "start_time": "2020-10-27T15:54:15.288469",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data.at[data['city']=='Bangalore','city']='Bengaluru'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:15.463713Z",
     "iopub.status.busy": "2020-10-27T15:54:15.462639Z",
     "iopub.status.idle": "2020-10-27T15:54:15.473099Z",
     "shell.execute_reply": "2020-10-27T15:54:15.472312Z"
    },
    "papermill": {
     "duration": 0.070459,
     "end_time": "2020-10-27T15:54:15.473249",
     "exception": false,
     "start_time": "2020-10-27T15:54:15.402790",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cities -->  32\n",
      "Venues -->  41\n"
     ]
    }
   ],
   "source": [
    "print(\"Cities --> \",data['city'].nunique())\n",
    "print(\"Venues --> \",data['venue'].nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:15.616047Z",
     "iopub.status.busy": "2020-10-27T15:54:15.611087Z",
     "iopub.status.idle": "2020-10-27T15:54:15.642553Z",
     "shell.execute_reply": "2020-10-27T15:54:15.641860Z"
    },
    "papermill": {
     "duration": 0.105072,
     "end_time": "2020-10-27T15:54:15.642696",
     "exception": false,
     "start_time": "2020-10-27T15:54:15.537624",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>Sheikh Zayed Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Sardar Patel Stadium, Motera</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bengaluru</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bengaluru</td>\n",
       "      <td>M. Chinnaswamy Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bloemfontein</td>\n",
       "      <td>OUTsurance Oval</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Cape Town</td>\n",
       "      <td>Newlands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Centurion</td>\n",
       "      <td>SuperSport Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>Punjab Cricket Association IS Bindra Stadium, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>Punjab Cricket Association Stadium, Mohali</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Chennai</td>\n",
       "      <td>M. A. Chidambaram Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Chennai</td>\n",
       "      <td>MA Chidambaram Stadium, Chepauk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Cuttack</td>\n",
       "      <td>Barabati Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Delhi</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Delhi</td>\n",
       "      <td>Feroz Shah Kotla Ground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Dharamsala</td>\n",
       "      <td>Himachal Pradesh Cricket Association Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Dubai</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Durban</td>\n",
       "      <td>Kingsmead</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>East London</td>\n",
       "      <td>Buffalo Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Rajiv Gandhi Intl. Cricket Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Indore</td>\n",
       "      <td>Holkar Cricket Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Jaipur</td>\n",
       "      <td>Sawai Mansingh Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Johannesburg</td>\n",
       "      <td>New Wanderers Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Kanpur</td>\n",
       "      <td>Green Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Kimberley</td>\n",
       "      <td>De Beers Diamond Oval</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Kochi</td>\n",
       "      <td>Nehru Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Eden Gardens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Mohali</td>\n",
       "      <td>IS Bindra Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Mohali</td>\n",
       "      <td>Punjab Cricket Association IS Bindra Stadium, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Brabourne Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Dr DY Patil Sports Academy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Nagpur</td>\n",
       "      <td>Vidarbha Cricket Association Stadium, Jamtha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Port Elizabeth</td>\n",
       "      <td>St George's Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Pune</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Pune</td>\n",
       "      <td>Subrata Roy Sahara Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Raipur</td>\n",
       "      <td>Shaheed Veer Narayan Singh International Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Rajkot</td>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Ranchi</td>\n",
       "      <td>JSCA International Stadium Complex</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Sharjah</td>\n",
       "      <td>Sharjah Cricket Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>ACA-VDCA Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              city                                              venue\n",
       "0        Abu Dhabi                               Sheikh Zayed Stadium\n",
       "1        Ahmedabad                       Sardar Patel Stadium, Motera\n",
       "2        Bengaluru                              M Chinnaswamy Stadium\n",
       "3        Bengaluru                             M. Chinnaswamy Stadium\n",
       "4     Bloemfontein                                    OUTsurance Oval\n",
       "5        Cape Town                                           Newlands\n",
       "6        Centurion                                    SuperSport Park\n",
       "7       Chandigarh  Punjab Cricket Association IS Bindra Stadium, ...\n",
       "8       Chandigarh         Punjab Cricket Association Stadium, Mohali\n",
       "9          Chennai                          M. A. Chidambaram Stadium\n",
       "10         Chennai                    MA Chidambaram Stadium, Chepauk\n",
       "11         Cuttack                                   Barabati Stadium\n",
       "12           Delhi                                   Feroz Shah Kotla\n",
       "13           Delhi                            Feroz Shah Kotla Ground\n",
       "14      Dharamsala       Himachal Pradesh Cricket Association Stadium\n",
       "15           Dubai                Dubai International Cricket Stadium\n",
       "16          Durban                                          Kingsmead\n",
       "17     East London                                       Buffalo Park\n",
       "18       Hyderabad          Rajiv Gandhi International Stadium, Uppal\n",
       "19       Hyderabad                 Rajiv Gandhi Intl. Cricket Stadium\n",
       "20          Indore                             Holkar Cricket Stadium\n",
       "21          Jaipur                             Sawai Mansingh Stadium\n",
       "22    Johannesburg                              New Wanderers Stadium\n",
       "23          Kanpur                                         Green Park\n",
       "24       Kimberley                              De Beers Diamond Oval\n",
       "25           Kochi                                      Nehru Stadium\n",
       "26         Kolkata                                       Eden Gardens\n",
       "27          Mohali                                  IS Bindra Stadium\n",
       "28          Mohali  Punjab Cricket Association IS Bindra Stadium, ...\n",
       "29          Mumbai                                  Brabourne Stadium\n",
       "30          Mumbai                         Dr DY Patil Sports Academy\n",
       "31          Mumbai                                   Wankhede Stadium\n",
       "32          Nagpur       Vidarbha Cricket Association Stadium, Jamtha\n",
       "33  Port Elizabeth                                   St George's Park\n",
       "34            Pune            Maharashtra Cricket Association Stadium\n",
       "35            Pune                         Subrata Roy Sahara Stadium\n",
       "36          Raipur   Shaheed Veer Narayan Singh International Stadium\n",
       "37          Rajkot             Saurashtra Cricket Association Stadium\n",
       "38          Ranchi                 JSCA International Stadium Complex\n",
       "39         Sharjah                            Sharjah Cricket Stadium\n",
       "40   Visakhapatnam                                   ACA-VDCA Stadium\n",
       "41   Visakhapatnam  Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby(['city','venue']).all().index.to_frame(index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:15.784811Z",
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     "shell.execute_reply": "2020-10-27T15:54:15.788743Z"
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>inning</th>\n",
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       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
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       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>wide_runs</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",
       "    <tr>\n",
       "      <th>match_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</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>0</td>\n",
       "      <td>0</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>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</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>0</td>\n",
       "      <td>0</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>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</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>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</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>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</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>0</td>\n",
       "      <td>0</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>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11415</th>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>SL Malinga</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11415</th>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>SL Malinga</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>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11415</th>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>SL Malinga</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>run out</td>\n",
       "      <td>KH Pandya</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11415</th>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>SN Thakur</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>SL Malinga</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>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11415</th>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>SN Thakur</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>SL Malinga</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SN Thakur</td>\n",
       "      <td>lbw</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>179078 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          inning         batting_team                 bowling_team  over  \\\n",
       "match_id                                                                   \n",
       "1              1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "1              1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "1              1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "1              1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "1              1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "...          ...                  ...                          ...   ...   \n",
       "11415          2  Chennai Super Kings               Mumbai Indians    20   \n",
       "11415          2  Chennai Super Kings               Mumbai Indians    20   \n",
       "11415          2  Chennai Super Kings               Mumbai Indians    20   \n",
       "11415          2  Chennai Super Kings               Mumbai Indians    20   \n",
       "11415          2  Chennai Super Kings               Mumbai Indians    20   \n",
       "\n",
       "          ball    batsman non_striker      bowler  is_super_over  wide_runs  \\\n",
       "match_id                                                                      \n",
       "1            1  DA Warner    S Dhawan    TS Mills              0          0   \n",
       "1            2  DA Warner    S Dhawan    TS Mills              0          0   \n",
       "1            3  DA Warner    S Dhawan    TS Mills              0          0   \n",
       "1            4  DA Warner    S Dhawan    TS Mills              0          0   \n",
       "1            5  DA Warner    S Dhawan    TS Mills              0          2   \n",
       "...        ...        ...         ...         ...            ...        ...   \n",
       "11415        2  RA Jadeja   SR Watson  SL Malinga              0          0   \n",
       "11415        3  SR Watson   RA Jadeja  SL Malinga              0          0   \n",
       "11415        4  SR Watson   RA Jadeja  SL Malinga              0          0   \n",
       "11415        5  SN Thakur   RA Jadeja  SL Malinga              0          0   \n",
       "11415        6  SN Thakur   RA Jadeja  SL Malinga              0          0   \n",
       "\n",
       "          bye_runs  legbye_runs  noball_runs  penalty_runs  batsman_runs  \\\n",
       "match_id                                                                   \n",
       "1                0            0            0             0             0   \n",
       "1                0            0            0             0             0   \n",
       "1                0            0            0             0             4   \n",
       "1                0            0            0             0             0   \n",
       "1                0            0            0             0             0   \n",
       "...            ...          ...          ...           ...           ...   \n",
       "11415            0            0            0             0             1   \n",
       "11415            0            0            0             0             2   \n",
       "11415            0            0            0             0             1   \n",
       "11415            0            0            0             0             2   \n",
       "11415            0            0            0             0             0   \n",
       "\n",
       "          extra_runs  total_runs player_dismissed dismissal_kind    fielder  \n",
       "match_id                                                                     \n",
       "1                  0           0              NaN            NaN        NaN  \n",
       "1                  0           0              NaN            NaN        NaN  \n",
       "1                  0           4              NaN            NaN        NaN  \n",
       "1                  0           0              NaN            NaN        NaN  \n",
       "1                  2           2              NaN            NaN        NaN  \n",
       "...              ...         ...              ...            ...        ...  \n",
       "11415              0           1              NaN            NaN        NaN  \n",
       "11415              0           2              NaN            NaN        NaN  \n",
       "11415              0           1        SR Watson        run out  KH Pandya  \n",
       "11415              0           2              NaN            NaN        NaN  \n",
       "11415              0           0        SN Thakur            lbw        NaN  \n",
       "\n",
       "[179078 rows x 20 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deliveries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:15.926520Z",
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     "shell.execute_reply": "2020-10-27T15:54:15.928822Z"
    },
    "papermill": {
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data.at[data['city']=='Visakhapatnam','venue']='ACA-VDCA Stadium'\n",
    "data.at[data['city']=='Pune','venue']='Maharashtra Cricket Association Stadium'\n",
    "data.at[data['city']=='Chandigarh','city']='Mohali'\n",
    "data.at[data['city']=='Mohali','venue']='IS Bindra Stadium'\n",
    "data.at[data['city']=='Hyderabad','venue']='Rajiv Gandhi International Stadium, Uppal'\n",
    "data.at[data['city']=='Delhi','venue']='Feroz Shah Kotla Ground'\n",
    "data.at[data['city']=='Chennai','venue']='M. A. Chidambaram Stadium'\n",
    "data.at[data['city']=='Bengaluru','venue']='M Chinnaswamy Stadium'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:16.044907Z",
     "iopub.status.busy": "2020-10-27T15:54:16.043855Z",
     "iopub.status.idle": "2020-10-27T15:54:16.049297Z",
     "shell.execute_reply": "2020-10-27T15:54:16.049928Z"
    },
    "papermill": {
     "duration": 0.066812,
     "end_time": "2020-10-27T15:54:16.050080",
     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cities -->  31\n",
      "Venues -->  33\n"
     ]
    }
   ],
   "source": [
    "print(\"Cities --> \",data['city'].nunique())\n",
    "print(\"Venues --> \",data['venue'].nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:16.164571Z",
     "iopub.status.busy": "2020-10-27T15:54:16.163750Z",
     "iopub.status.idle": "2020-10-27T15:54:16.167120Z",
     "shell.execute_reply": "2020-10-27T15:54:16.166484Z"
    },
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     "duration": 0.062645,
     "end_time": "2020-10-27T15:54:16.167261",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "venues = data['venue'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:16.287351Z",
     "iopub.status.busy": "2020-10-27T15:54:16.286359Z",
     "iopub.status.idle": "2020-10-27T15:54:50.769810Z",
     "shell.execute_reply": "2020-10-27T15:54:50.768956Z"
    },
    "papermill": {
     "duration": 34.547775,
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     "start_time": "2020-10-27T15:54:16.222193",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import requests\n",
    "import urllib.parse\n",
    "\n",
    "lat = []\n",
    "long = []\n",
    "\n",
    "for i in range(len(venues)):\n",
    "    address = venues[i]\n",
    "    url = 'https://nominatim.openstreetmap.org/search/' + urllib.parse.quote(address) +'?format=json'\n",
    "    response = requests.get(url).json()\n",
    "    if not len(response)==0:\n",
    "        lat.append(response[0][\"lat\"])\n",
    "        long.append(response[0][\"lon\"])\n",
    "    else:\n",
    "        lat.append('None')\n",
    "        long.append('None')        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:50.910352Z",
     "iopub.status.busy": "2020-10-27T15:54:50.909021Z",
     "iopub.status.idle": "2020-10-27T15:54:50.914894Z",
     "shell.execute_reply": "2020-10-27T15:54:50.914284Z"
    },
    "papermill": {
     "duration": 0.088331,
     "end_time": "2020-10-27T15:54:50.915026",
     "exception": false,
     "start_time": "2020-10-27T15:54:50.826695",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Venues</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>18.6738164</td>\n",
       "      <td>73.7064113964208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "      <td>22.362785549999998</td>\n",
       "      <td>70.71008439911074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Holkar Cricket Stadium</td>\n",
       "      <td>22.72425115</td>\n",
       "      <td>75.87967028307291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>12.97881265</td>\n",
       "      <td>77.59957750299715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>18.9385497</td>\n",
       "      <td>72.82574081674653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>22.564561349999998</td>\n",
       "      <td>88.34424156337812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Feroz Shah Kotla Ground</td>\n",
       "      <td>28.63753095</td>\n",
       "      <td>77.24293445747605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>IS Bindra Stadium</td>\n",
       "      <td>30.69085905</td>\n",
       "      <td>76.7374305321502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Green Park</td>\n",
       "      <td>51.5066192</td>\n",
       "      <td>-0.1429113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Sawai Mansingh Stadium</td>\n",
       "      <td>26.8939911</td>\n",
       "      <td>75.80322693888199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M. A. Chidambaram Stadium</td>\n",
       "      <td>13.062743300000001</td>\n",
       "      <td>80.2784307386784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Dr DY Patil Sports Academy</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Newlands</td>\n",
       "      <td>-33.9742832</td>\n",
       "      <td>18.4572951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>St George's Park</td>\n",
       "      <td>-33.965769550000005</td>\n",
       "      <td>25.60733242183312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Kingsmead</td>\n",
       "      <td>51.3800067</td>\n",
       "      <td>-2.3651236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>SuperSport Park</td>\n",
       "      <td>-25.8598173</td>\n",
       "      <td>28.195561070884782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Buffalo Park</td>\n",
       "      <td>-33.006837149999996</td>\n",
       "      <td>27.91952640427005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>New Wanderers Stadium</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>De Beers Diamond Oval</td>\n",
       "      <td>-28.74264205</td>\n",
       "      <td>24.796774571818183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>OUTsurance Oval</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Brabourne Stadium</td>\n",
       "      <td>18.9320101</td>\n",
       "      <td>72.82501261609113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Sardar Patel Stadium, Motera</td>\n",
       "      <td>23.0917034</td>\n",
       "      <td>72.59748068788556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Barabati Stadium</td>\n",
       "      <td>20.48070435</td>\n",
       "      <td>85.86852541310051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Vidarbha Cricket Association Stadium, Jamtha</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Himachal Pradesh Cricket Association Stadium</td>\n",
       "      <td>32.1975918</td>\n",
       "      <td>76.32503371593408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Nehru Stadium</td>\n",
       "      <td>18.50226505</td>\n",
       "      <td>73.85567153251641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ACA-VDCA Stadium</td>\n",
       "      <td>17.79751345</td>\n",
       "      <td>83.35300264041362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shaheed Veer Narayan Singh International Stadium</td>\n",
       "      <td>21.203402949999997</td>\n",
       "      <td>81.82302432017622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>JSCA International Stadium Complex</td>\n",
       "      <td>23.31045215</td>\n",
       "      <td>85.27487741053811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Sheikh Zayed Stadium</td>\n",
       "      <td>24.416085250000002</td>\n",
       "      <td>54.452600653174294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Sharjah Cricket Stadium</td>\n",
       "      <td>25.33078055</td>\n",
       "      <td>55.42090675730459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>25.046738400000002</td>\n",
       "      <td>55.219006962225635</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Venues             Latitude  \\\n",
       "0          Rajiv Gandhi International Stadium, Uppal                 None   \n",
       "1            Maharashtra Cricket Association Stadium           18.6738164   \n",
       "2             Saurashtra Cricket Association Stadium   22.362785549999998   \n",
       "3                             Holkar Cricket Stadium          22.72425115   \n",
       "4                              M Chinnaswamy Stadium          12.97881265   \n",
       "5                                   Wankhede Stadium           18.9385497   \n",
       "6                                       Eden Gardens   22.564561349999998   \n",
       "7                            Feroz Shah Kotla Ground          28.63753095   \n",
       "8                                  IS Bindra Stadium          30.69085905   \n",
       "9                                         Green Park           51.5066192   \n",
       "10                            Sawai Mansingh Stadium           26.8939911   \n",
       "11                         M. A. Chidambaram Stadium   13.062743300000001   \n",
       "12                        Dr DY Patil Sports Academy                 None   \n",
       "13                                          Newlands          -33.9742832   \n",
       "14                                  St George's Park  -33.965769550000005   \n",
       "15                                         Kingsmead           51.3800067   \n",
       "16                                   SuperSport Park          -25.8598173   \n",
       "17                                      Buffalo Park  -33.006837149999996   \n",
       "18                             New Wanderers Stadium                 None   \n",
       "19                             De Beers Diamond Oval         -28.74264205   \n",
       "20                                   OUTsurance Oval                 None   \n",
       "21                                 Brabourne Stadium           18.9320101   \n",
       "22                      Sardar Patel Stadium, Motera           23.0917034   \n",
       "23                                  Barabati Stadium          20.48070435   \n",
       "24      Vidarbha Cricket Association Stadium, Jamtha                 None   \n",
       "25      Himachal Pradesh Cricket Association Stadium           32.1975918   \n",
       "26                                     Nehru Stadium          18.50226505   \n",
       "27                                  ACA-VDCA Stadium          17.79751345   \n",
       "28  Shaheed Veer Narayan Singh International Stadium   21.203402949999997   \n",
       "29                JSCA International Stadium Complex          23.31045215   \n",
       "30                              Sheikh Zayed Stadium   24.416085250000002   \n",
       "31                           Sharjah Cricket Stadium          25.33078055   \n",
       "32               Dubai International Cricket Stadium   25.046738400000002   \n",
       "\n",
       "             Longitude  \n",
       "0                 None  \n",
       "1     73.7064113964208  \n",
       "2    70.71008439911074  \n",
       "3    75.87967028307291  \n",
       "4    77.59957750299715  \n",
       "5    72.82574081674653  \n",
       "6    88.34424156337812  \n",
       "7    77.24293445747605  \n",
       "8     76.7374305321502  \n",
       "9           -0.1429113  \n",
       "10   75.80322693888199  \n",
       "11    80.2784307386784  \n",
       "12                None  \n",
       "13          18.4572951  \n",
       "14   25.60733242183312  \n",
       "15          -2.3651236  \n",
       "16  28.195561070884782  \n",
       "17   27.91952640427005  \n",
       "18                None  \n",
       "19  24.796774571818183  \n",
       "20                None  \n",
       "21   72.82501261609113  \n",
       "22   72.59748068788556  \n",
       "23   85.86852541310051  \n",
       "24                None  \n",
       "25   76.32503371593408  \n",
       "26   73.85567153251641  \n",
       "27   83.35300264041362  \n",
       "28   81.82302432017622  \n",
       "29   85.27487741053811  \n",
       "30  54.452600653174294  \n",
       "31   55.42090675730459  \n",
       "32  55.219006962225635  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues_map = pd.DataFrame({'Venues':venues,'Latitude':lat,'Longitude':long})\n",
    "venues_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:51.038019Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def val(loc):\n",
    "    address = loc\n",
    "    url = 'https://nominatim.openstreetmap.org/search/' + urllib.parse.quote(address) +'?format=json'\n",
    "    res = requests.get(url).json()\n",
    "    return [res[0][\"lat\"],res[0][\"lon\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:51.175189Z",
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     "start_time": "2020-10-27T15:54:51.105397",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
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       "      <th>0</th>\n",
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       "  Latitude Longitude\n",
       "0     None      None"
      ]
     },
     "execution_count": 17,
     "metadata": {},
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   ],
   "source": [
    "venues_map.loc[venues_map['Venues']=='Rajiv Gandhi International Stadium, Uppal',['Latitude','Longitude']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
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   "outputs": [],
   "source": [
    "venues_map.loc[venues_map['Venues']=='Rajiv Gandhi International Stadium, Uppal',['Latitude','Longitude']] = val('Rajiv Gandhi International Stadium')\n",
    "venues_map.loc[venues_map['Venues']=='Dr DY Patil Sports Academy',['Latitude','Longitude']] = val('Dr DY Patil Sports')\n",
    "venues_map.loc[venues_map['Venues']=='OUTsurance Oval',['Latitude','Longitude']] = val('OUTsurance')\n",
    "venues_map.loc[venues_map['Venues']=='Vidarbha Cricket Association Stadium, Jamtha',['Latitude','Longitude']] = val('Vidarbha Cricket Association Stadium')\n",
    "venues_map.loc[venues_map['Venues']=='New Wanderers Stadium',['Latitude','Longitude']] = val('Johannesburg Stadium')\n",
    "venues_map.loc[venues_map['Venues']=='Kingsmead',['Latitude','Longitude']] = val('Kingsmead Stadium')\n",
    "venues_map.loc[venues_map['Venues']=='Green Park',['Latitude','Longitude']] = val('green park stadium')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
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       "      <th></th>\n",
       "      <th>Venues</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>19.028544850000003</td>\n",
       "      <td>73.04427053955325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>18.6738164</td>\n",
       "      <td>73.7064113964208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "      <td>22.362785549999998</td>\n",
       "      <td>70.71008439911074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Holkar Cricket Stadium</td>\n",
       "      <td>22.72425115</td>\n",
       "      <td>75.87967028307291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>12.97881265</td>\n",
       "      <td>77.59957750299715</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                                      Venues            Latitude  \\\n",
       "0  Rajiv Gandhi International Stadium, Uppal  19.028544850000003   \n",
       "1    Maharashtra Cricket Association Stadium          18.6738164   \n",
       "2     Saurashtra Cricket Association Stadium  22.362785549999998   \n",
       "3                     Holkar Cricket Stadium         22.72425115   \n",
       "4                      M Chinnaswamy Stadium         12.97881265   \n",
       "\n",
       "           Longitude  \n",
       "0  73.04427053955325  \n",
       "1   73.7064113964208  \n",
       "2  70.71008439911074  \n",
       "3  75.87967028307291  \n",
       "4  77.59957750299715  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
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   ],
   "source": [
    "venues_map.head()"
   ]
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    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Venues</th>\n",
       "      <th>Latitude</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>19.02</td>\n",
       "      <td>73.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>18.67</td>\n",
       "      <td>73.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "      <td>22.36</td>\n",
       "      <td>70.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Holkar Cricket Stadium</td>\n",
       "      <td>22.72</td>\n",
       "      <td>75.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>12.97</td>\n",
       "      <td>77.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>18.93</td>\n",
       "      <td>72.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>22.56</td>\n",
       "      <td>88.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Feroz Shah Kotla Ground</td>\n",
       "      <td>28.63</td>\n",
       "      <td>77.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>IS Bindra Stadium</td>\n",
       "      <td>30.69</td>\n",
       "      <td>76.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Green Park</td>\n",
       "      <td>26.48</td>\n",
       "      <td>80.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Sawai Mansingh Stadium</td>\n",
       "      <td>26.89</td>\n",
       "      <td>75.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M. A. Chidambaram Stadium</td>\n",
       "      <td>13.06</td>\n",
       "      <td>80.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Dr DY Patil Sports Academy</td>\n",
       "      <td>19.04</td>\n",
       "      <td>73.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Newlands</td>\n",
       "      <td>-33.90</td>\n",
       "      <td>18.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>St George's Park</td>\n",
       "      <td>-33.90</td>\n",
       "      <td>25.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Kingsmead</td>\n",
       "      <td>-29.80</td>\n",
       "      <td>31.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>SuperSport Park</td>\n",
       "      <td>-25.80</td>\n",
       "      <td>28.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Buffalo Park</td>\n",
       "      <td>-33.00</td>\n",
       "      <td>27.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>New Wanderers Stadium</td>\n",
       "      <td>-26.10</td>\n",
       "      <td>28.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>De Beers Diamond Oval</td>\n",
       "      <td>-28.70</td>\n",
       "      <td>24.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>OUTsurance Oval</td>\n",
       "      <td>-25.80</td>\n",
       "      <td>28.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Brabourne Stadium</td>\n",
       "      <td>18.93</td>\n",
       "      <td>72.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Sardar Patel Stadium, Motera</td>\n",
       "      <td>23.09</td>\n",
       "      <td>72.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Barabati Stadium</td>\n",
       "      <td>20.48</td>\n",
       "      <td>85.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Vidarbha Cricket Association Stadium, Jamtha</td>\n",
       "      <td>21.01</td>\n",
       "      <td>79.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Himachal Pradesh Cricket Association Stadium</td>\n",
       "      <td>32.19</td>\n",
       "      <td>76.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Nehru Stadium</td>\n",
       "      <td>18.50</td>\n",
       "      <td>73.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ACA-VDCA Stadium</td>\n",
       "      <td>17.79</td>\n",
       "      <td>83.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shaheed Veer Narayan Singh International Stadium</td>\n",
       "      <td>21.20</td>\n",
       "      <td>81.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>JSCA International Stadium Complex</td>\n",
       "      <td>23.31</td>\n",
       "      <td>85.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Sheikh Zayed Stadium</td>\n",
       "      <td>24.41</td>\n",
       "      <td>54.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Sharjah Cricket Stadium</td>\n",
       "      <td>25.33</td>\n",
       "      <td>55.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>25.04</td>\n",
       "      <td>55.21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Venues  Latitude  Longitude\n",
       "0          Rajiv Gandhi International Stadium, Uppal     19.02      73.04\n",
       "1            Maharashtra Cricket Association Stadium     18.67      73.70\n",
       "2             Saurashtra Cricket Association Stadium     22.36      70.71\n",
       "3                             Holkar Cricket Stadium     22.72      75.87\n",
       "4                              M Chinnaswamy Stadium     12.97      77.59\n",
       "5                                   Wankhede Stadium     18.93      72.82\n",
       "6                                       Eden Gardens     22.56      88.34\n",
       "7                            Feroz Shah Kotla Ground     28.63      77.24\n",
       "8                                  IS Bindra Stadium     30.69      76.73\n",
       "9                                         Green Park     26.48      80.34\n",
       "10                            Sawai Mansingh Stadium     26.89      75.80\n",
       "11                         M. A. Chidambaram Stadium     13.06      80.27\n",
       "12                        Dr DY Patil Sports Academy     19.04      73.02\n",
       "13                                          Newlands    -33.90      18.45\n",
       "14                                  St George's Park    -33.90      25.60\n",
       "15                                         Kingsmead    -29.80      31.02\n",
       "16                                   SuperSport Park    -25.80      28.19\n",
       "17                                      Buffalo Park    -33.00      27.91\n",
       "18                             New Wanderers Stadium    -26.10      28.06\n",
       "19                             De Beers Diamond Oval    -28.70      24.79\n",
       "20                                   OUTsurance Oval    -25.80      28.18\n",
       "21                                 Brabourne Stadium     18.93      72.82\n",
       "22                      Sardar Patel Stadium, Motera     23.09      72.59\n",
       "23                                  Barabati Stadium     20.48      85.86\n",
       "24      Vidarbha Cricket Association Stadium, Jamtha     21.01      79.03\n",
       "25      Himachal Pradesh Cricket Association Stadium     32.19      76.32\n",
       "26                                     Nehru Stadium     18.50      73.85\n",
       "27                                  ACA-VDCA Stadium     17.79      83.35\n",
       "28  Shaheed Veer Narayan Singh International Stadium     21.20      81.82\n",
       "29                JSCA International Stadium Complex     23.31      85.27\n",
       "30                              Sheikh Zayed Stadium     24.41      54.45\n",
       "31                           Sharjah Cricket Stadium     25.33      55.42\n",
       "32               Dubai International Cricket Stadium     25.04      55.21"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def data_pre(cord):\n",
    "    return float(str(cord)[0:5])\n",
    "\n",
    "venues_map['Latitude']  = venues_map['Latitude'].apply(data_pre).astype('float')\n",
    "venues_map['Longitude'] = venues_map['Longitude'].apply(data_pre).astype('float')\n",
    "venues_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:59.062853Z",
     "iopub.status.busy": "2020-10-27T15:54:59.061934Z",
     "iopub.status.idle": "2020-10-27T15:54:59.087045Z",
     "shell.execute_reply": "2020-10-27T15:54:59.086375Z"
    },
    "papermill": {
     "duration": 0.114868,
     "end_time": "2020-10-27T15:54:59.087173",
     "exception": false,
     "start_time": "2020-10-27T15:54:58.972305",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "stadiums = folium.Map(location = [20.5937,78.9629],zoom_start=4.5)\n",
    "\n",
    "for state,lat,long in zip(list(venues_map['Venues']),list(venues_map['Latitude']),list(venues_map['Longitude'])):\n",
    "#     print(state,lat,long)\n",
    "    folium.CircleMarker(location = [lat,long],\n",
    "                       radius = 5,\n",
    "                       color='red',\n",
    "                       fill = True,\n",
    "                       fill_color=\"red\").add_to(stadiums)\n",
    "    folium.Marker(location = [lat,long],\n",
    "                  popup=folium.Popup(('<strong><b>State  : '+state+'</strong>'),max_width=200)).add_to(stadiums)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:59.291927Z",
     "iopub.status.busy": "2020-10-27T15:54:59.209293Z",
     "iopub.status.idle": "2020-10-27T15:54:59.297717Z",
     "shell.execute_reply": "2020-10-27T15:54:59.297080Z"
    },
    "papermill": {
     "duration": 0.152303,
     "end_time": "2020-10-27T15:54:59.297840",
     "exception": false,
     "start_time": "2020-10-27T15:54:59.145537",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
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            var html_45f8be8be420408d9a3681033b906ace = $(`<div id="html_45f8be8be420408d9a3681033b906ace" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Eden Gardens</strong></div>`)[0];
            popup_8f6e4115a4b34ace84b48ddd0969a0ec.setContent(html_45f8be8be420408d9a3681033b906ace);
        

        marker_98ae97a2cd8947a29a118e889726f059.bindPopup(popup_8f6e4115a4b34ace84b48ddd0969a0ec)
        ;

        
    
    
            var circle_marker_350839b1fe124473bf2babe5b840cc64 = L.circleMarker(
                [28.63, 77.24],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_2f6cf77b4a474257a8f38f79192745db = L.marker(
                [28.63, 77.24],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_b8b74b5ab1a546b797960e32df5d97ac = L.popup({"maxWidth": 200});

        
            var html_d2aa697bd8d1422caacb4c63f7897026 = $(`<div id="html_d2aa697bd8d1422caacb4c63f7897026" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Feroz Shah Kotla Ground</strong></div>`)[0];
            popup_b8b74b5ab1a546b797960e32df5d97ac.setContent(html_d2aa697bd8d1422caacb4c63f7897026);
        

        marker_2f6cf77b4a474257a8f38f79192745db.bindPopup(popup_b8b74b5ab1a546b797960e32df5d97ac)
        ;

        
    
    
            var circle_marker_183b27d0a33e447aa5ddd90ff5f41814 = L.circleMarker(
                [30.69, 76.73],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_4332e1f0ff6348709d830cd9f0cebf97 = L.marker(
                [30.69, 76.73],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_5ea6f32981ee4a8a9632bba5885a070b = L.popup({"maxWidth": 200});

        
            var html_6ba70a4c3588461194c4e7c9c746eb0a = $(`<div id="html_6ba70a4c3588461194c4e7c9c746eb0a" style="width: 100.0%; height: 100.0%;"><strong><b>State  : IS Bindra Stadium</strong></div>`)[0];
            popup_5ea6f32981ee4a8a9632bba5885a070b.setContent(html_6ba70a4c3588461194c4e7c9c746eb0a);
        

        marker_4332e1f0ff6348709d830cd9f0cebf97.bindPopup(popup_5ea6f32981ee4a8a9632bba5885a070b)
        ;

        
    
    
            var circle_marker_d82fab45470244f4b81bd549ac19dbc2 = L.circleMarker(
                [26.48, 80.34],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_9d1d866bb7c0454e8a70f77540f365e3 = L.marker(
                [26.48, 80.34],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_7208f42d82f449e6a45296a05733e330 = L.popup({"maxWidth": 200});

        
            var html_63f926b82fca428aae4ea75e4fdac53b = $(`<div id="html_63f926b82fca428aae4ea75e4fdac53b" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Green Park</strong></div>`)[0];
            popup_7208f42d82f449e6a45296a05733e330.setContent(html_63f926b82fca428aae4ea75e4fdac53b);
        

        marker_9d1d866bb7c0454e8a70f77540f365e3.bindPopup(popup_7208f42d82f449e6a45296a05733e330)
        ;

        
    
    
            var circle_marker_4a66f1268c4541efa1cb38647badd3cd = L.circleMarker(
                [26.89, 75.8],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_cb87390725b54b15869c46c877c3702a = L.marker(
                [26.89, 75.8],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_bc152436e67146f99b53fd44bac0ddbb = L.popup({"maxWidth": 200});

        
            var html_dd82dfc38e41410285882a21380aa77b = $(`<div id="html_dd82dfc38e41410285882a21380aa77b" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Sawai Mansingh Stadium</strong></div>`)[0];
            popup_bc152436e67146f99b53fd44bac0ddbb.setContent(html_dd82dfc38e41410285882a21380aa77b);
        

        marker_cb87390725b54b15869c46c877c3702a.bindPopup(popup_bc152436e67146f99b53fd44bac0ddbb)
        ;

        
    
    
            var circle_marker_57f69dff61cc40d398c7ce086502d7ef = L.circleMarker(
                [13.06, 80.27],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_91e45e8a7fdd48e282544bfb062a430e = L.marker(
                [13.06, 80.27],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_9347ebafb2674e73b3d7ec9489b40e7b = L.popup({"maxWidth": 200});

        
            var html_a18afd9003e74a4492897545792a2e21 = $(`<div id="html_a18afd9003e74a4492897545792a2e21" style="width: 100.0%; height: 100.0%;"><strong><b>State  : M. A. Chidambaram Stadium</strong></div>`)[0];
            popup_9347ebafb2674e73b3d7ec9489b40e7b.setContent(html_a18afd9003e74a4492897545792a2e21);
        

        marker_91e45e8a7fdd48e282544bfb062a430e.bindPopup(popup_9347ebafb2674e73b3d7ec9489b40e7b)
        ;

        
    
    
            var circle_marker_e1ccf34e8ae04ff597eb8580ba03fc6d = L.circleMarker(
                [19.04, 73.02],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_3e52d47dcec74fc791728bac01072774 = L.marker(
                [19.04, 73.02],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_e1d39860f2964355a1d8bbdcd264c69d = L.popup({"maxWidth": 200});

        
            var html_0f2e8d88cd764342a7745aa8c732f504 = $(`<div id="html_0f2e8d88cd764342a7745aa8c732f504" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Dr DY Patil Sports Academy</strong></div>`)[0];
            popup_e1d39860f2964355a1d8bbdcd264c69d.setContent(html_0f2e8d88cd764342a7745aa8c732f504);
        

        marker_3e52d47dcec74fc791728bac01072774.bindPopup(popup_e1d39860f2964355a1d8bbdcd264c69d)
        ;

        
    
    
            var circle_marker_b56cdbf809e342289e62bb7ee0d35b42 = L.circleMarker(
                [-33.9, 18.45],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_b7acf4a066764f959c26ed03a9010712 = L.marker(
                [-33.9, 18.45],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_857fb1b6592041469ee09a430c6dc367 = L.popup({"maxWidth": 200});

        
            var html_40f90f6199e143c984fab2a6d2b833f4 = $(`<div id="html_40f90f6199e143c984fab2a6d2b833f4" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Newlands</strong></div>`)[0];
            popup_857fb1b6592041469ee09a430c6dc367.setContent(html_40f90f6199e143c984fab2a6d2b833f4);
        

        marker_b7acf4a066764f959c26ed03a9010712.bindPopup(popup_857fb1b6592041469ee09a430c6dc367)
        ;

        
    
    
            var circle_marker_8351da84c9ec4374971330dc4a87e828 = L.circleMarker(
                [-33.9, 25.6],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_c75305d1cd8841cb8066bb62e750c360 = L.marker(
                [-33.9, 25.6],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_53a88ce4fcdb40959cacc9d32c3b3987 = L.popup({"maxWidth": 200});

        
            var html_cfda6cb4cf1d41c4a1c759aa974c9562 = $(`<div id="html_cfda6cb4cf1d41c4a1c759aa974c9562" style="width: 100.0%; height: 100.0%;"><strong><b>State  : St George's Park</strong></div>`)[0];
            popup_53a88ce4fcdb40959cacc9d32c3b3987.setContent(html_cfda6cb4cf1d41c4a1c759aa974c9562);
        

        marker_c75305d1cd8841cb8066bb62e750c360.bindPopup(popup_53a88ce4fcdb40959cacc9d32c3b3987)
        ;

        
    
    
            var circle_marker_2fc2918ec7b84039adb01dd1e92223db = L.circleMarker(
                [-29.8, 31.02],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_1f86cf179c5d46e6a556854351448e88 = L.marker(
                [-29.8, 31.02],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_c921c353af594b00b38581619a25015b = L.popup({"maxWidth": 200});

        
            var html_7f2f5e128b1e42c289cbe1c3c44b4381 = $(`<div id="html_7f2f5e128b1e42c289cbe1c3c44b4381" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Kingsmead</strong></div>`)[0];
            popup_c921c353af594b00b38581619a25015b.setContent(html_7f2f5e128b1e42c289cbe1c3c44b4381);
        

        marker_1f86cf179c5d46e6a556854351448e88.bindPopup(popup_c921c353af594b00b38581619a25015b)
        ;

        
    
    
            var circle_marker_579ae46afd9547e58cdbdb871c7c8f6e = L.circleMarker(
                [-25.8, 28.19],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_1270cdf1dbe842949d02482a8087242b = L.marker(
                [-25.8, 28.19],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_da8ed3bb091f4e3ca286dc141bb5c041 = L.popup({"maxWidth": 200});

        
            var html_5a394324c6d747c7bf186e1ec4c06cb2 = $(`<div id="html_5a394324c6d747c7bf186e1ec4c06cb2" style="width: 100.0%; height: 100.0%;"><strong><b>State  : SuperSport Park</strong></div>`)[0];
            popup_da8ed3bb091f4e3ca286dc141bb5c041.setContent(html_5a394324c6d747c7bf186e1ec4c06cb2);
        

        marker_1270cdf1dbe842949d02482a8087242b.bindPopup(popup_da8ed3bb091f4e3ca286dc141bb5c041)
        ;

        
    
    
            var circle_marker_9fb711e6621648aa8ec8e8e1d50be52c = L.circleMarker(
                [-33.0, 27.91],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_da08723e32044ffebc5a5d809d722e66 = L.marker(
                [-33.0, 27.91],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_a2a5be208c774fc6b2de73c4d7c0af6c = L.popup({"maxWidth": 200});

        
            var html_411e3f425fd942c1a55a9abf7884580d = $(`<div id="html_411e3f425fd942c1a55a9abf7884580d" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Buffalo Park</strong></div>`)[0];
            popup_a2a5be208c774fc6b2de73c4d7c0af6c.setContent(html_411e3f425fd942c1a55a9abf7884580d);
        

        marker_da08723e32044ffebc5a5d809d722e66.bindPopup(popup_a2a5be208c774fc6b2de73c4d7c0af6c)
        ;

        
    
    
            var circle_marker_6a2922ba001245d08c1ada0c7f84a8a7 = L.circleMarker(
                [-26.1, 28.06],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_fbcd63933ba84fb89fd23663dc9f5905 = L.marker(
                [-26.1, 28.06],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_a65fd4fb1f5c47e294edfb2b511c6ceb = L.popup({"maxWidth": 200});

        
            var html_61b9a40b25284a2d9dfe6958acad267c = $(`<div id="html_61b9a40b25284a2d9dfe6958acad267c" style="width: 100.0%; height: 100.0%;"><strong><b>State  : New Wanderers Stadium</strong></div>`)[0];
            popup_a65fd4fb1f5c47e294edfb2b511c6ceb.setContent(html_61b9a40b25284a2d9dfe6958acad267c);
        

        marker_fbcd63933ba84fb89fd23663dc9f5905.bindPopup(popup_a65fd4fb1f5c47e294edfb2b511c6ceb)
        ;

        
    
    
            var circle_marker_18fc9a1cc64f407b937adcb318c2092f = L.circleMarker(
                [-28.7, 24.79],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_185ad5288f4e480ba9a652ca577bcc54 = L.marker(
                [-28.7, 24.79],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_a630f627e9dc4f5ea787f7cd16e1add0 = L.popup({"maxWidth": 200});

        
            var html_f636e44c8cca4fb89b86ecfac89e84c5 = $(`<div id="html_f636e44c8cca4fb89b86ecfac89e84c5" style="width: 100.0%; height: 100.0%;"><strong><b>State  : De Beers Diamond Oval</strong></div>`)[0];
            popup_a630f627e9dc4f5ea787f7cd16e1add0.setContent(html_f636e44c8cca4fb89b86ecfac89e84c5);
        

        marker_185ad5288f4e480ba9a652ca577bcc54.bindPopup(popup_a630f627e9dc4f5ea787f7cd16e1add0)
        ;

        
    
    
            var circle_marker_8f19f1c9ee7b4bdf9840e2f4115e592d = L.circleMarker(
                [-25.8, 28.18],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_6a4da999d5ff4807af3853a33fc9c4d5 = L.marker(
                [-25.8, 28.18],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_7dc1acb9c3cd46cda5bf5f7f4531a6b3 = L.popup({"maxWidth": 200});

        
            var html_5f1ce58bb24243aea1117700ae2bf4e1 = $(`<div id="html_5f1ce58bb24243aea1117700ae2bf4e1" style="width: 100.0%; height: 100.0%;"><strong><b>State  : OUTsurance Oval</strong></div>`)[0];
            popup_7dc1acb9c3cd46cda5bf5f7f4531a6b3.setContent(html_5f1ce58bb24243aea1117700ae2bf4e1);
        

        marker_6a4da999d5ff4807af3853a33fc9c4d5.bindPopup(popup_7dc1acb9c3cd46cda5bf5f7f4531a6b3)
        ;

        
    
    
            var circle_marker_f906a75e39694fa1bb15ffcc3aea94e6 = L.circleMarker(
                [18.93, 72.82],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_5e6da89b19504867a5c60dac9409147c = L.marker(
                [18.93, 72.82],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_79359f959639428db7a4d2210f65cca9 = L.popup({"maxWidth": 200});

        
            var html_d645304ed6b849ab99434416e3751de0 = $(`<div id="html_d645304ed6b849ab99434416e3751de0" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Brabourne Stadium</strong></div>`)[0];
            popup_79359f959639428db7a4d2210f65cca9.setContent(html_d645304ed6b849ab99434416e3751de0);
        

        marker_5e6da89b19504867a5c60dac9409147c.bindPopup(popup_79359f959639428db7a4d2210f65cca9)
        ;

        
    
    
            var circle_marker_911784b087034e8dbd6b21f1aa97d5ea = L.circleMarker(
                [23.09, 72.59],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_a870b412290244069716ca5c3346e0ce = L.marker(
                [23.09, 72.59],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_ac83c1e2c612486e9e28f72e7348889a = L.popup({"maxWidth": 200});

        
            var html_87298fa0d58747318cafb0ea5e8df1df = $(`<div id="html_87298fa0d58747318cafb0ea5e8df1df" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Sardar Patel Stadium, Motera</strong></div>`)[0];
            popup_ac83c1e2c612486e9e28f72e7348889a.setContent(html_87298fa0d58747318cafb0ea5e8df1df);
        

        marker_a870b412290244069716ca5c3346e0ce.bindPopup(popup_ac83c1e2c612486e9e28f72e7348889a)
        ;

        
    
    
            var circle_marker_a1c2e82c03994c7fbcf7d0e625f8f9c9 = L.circleMarker(
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            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_c84722cbfdd9489faf4d4e31d8ac0535 = L.marker(
                [20.48, 85.86],
                {}
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        var popup_9e61dc0dbadd4ae888922a147ee42437 = L.popup({"maxWidth": 200});

        
            var html_5329a8ea0fe24030822e465b2304bb35 = $(`<div id="html_5329a8ea0fe24030822e465b2304bb35" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Barabati Stadium</strong></div>`)[0];
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        marker_c84722cbfdd9489faf4d4e31d8ac0535.bindPopup(popup_9e61dc0dbadd4ae888922a147ee42437)
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            var circle_marker_766025f00bcc4dfea38eedc17cac3f9a = L.circleMarker(
                [21.01, 79.03],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_90f5664ca26e4015848bcf0a8f0d59e4 = L.marker(
                [21.01, 79.03],
                {}
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        var popup_ae46e247700b489f8f8f4a614ace8377 = L.popup({"maxWidth": 200});

        
            var html_3942eaa6ea85452aae6b1f472144ce2e = $(`<div id="html_3942eaa6ea85452aae6b1f472144ce2e" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Vidarbha Cricket Association Stadium, Jamtha</strong></div>`)[0];
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        marker_90f5664ca26e4015848bcf0a8f0d59e4.bindPopup(popup_ae46e247700b489f8f8f4a614ace8377)
        ;

        
    
    
            var circle_marker_c2ee47c386ee41d2a7db61b97717e06c = L.circleMarker(
                [32.19, 76.32],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_f4aa2335c77e4a19a30f4b970759419a = L.marker(
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            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_dbe7300fa5c7459daef2e54cf100d9bf = L.popup({"maxWidth": 200});

        
            var html_8373d01317ef4650babda3e8e42eab92 = $(`<div id="html_8373d01317ef4650babda3e8e42eab92" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Himachal Pradesh Cricket Association Stadium</strong></div>`)[0];
            popup_dbe7300fa5c7459daef2e54cf100d9bf.setContent(html_8373d01317ef4650babda3e8e42eab92);
        

        marker_f4aa2335c77e4a19a30f4b970759419a.bindPopup(popup_dbe7300fa5c7459daef2e54cf100d9bf)
        ;

        
    
    
            var circle_marker_b8e7b9c03d1b49898c259b70acb5197e = L.circleMarker(
                [18.5, 73.85],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_4de5cd84e4ea4728a9f7dd2de1d1f93a = L.marker(
                [18.5, 73.85],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_b315b4e6612f4f609f999f385d46a779 = L.popup({"maxWidth": 200});

        
            var html_0231de683d344a99b9a3cc89202c27ad = $(`<div id="html_0231de683d344a99b9a3cc89202c27ad" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Nehru Stadium</strong></div>`)[0];
            popup_b315b4e6612f4f609f999f385d46a779.setContent(html_0231de683d344a99b9a3cc89202c27ad);
        

        marker_4de5cd84e4ea4728a9f7dd2de1d1f93a.bindPopup(popup_b315b4e6612f4f609f999f385d46a779)
        ;

        
    
    
            var circle_marker_304a45f45bdc4d4ba4d87cb9e4d326e4 = L.circleMarker(
                [17.79, 83.35],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_1be23449fb30498d97772d96f3d999b0 = L.marker(
                [17.79, 83.35],
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            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_864e696b4cff4d768fc1bbaa781ea7a6 = L.popup({"maxWidth": 200});

        
            var html_869cdca5d4844be0a9b179f5f9b693e8 = $(`<div id="html_869cdca5d4844be0a9b179f5f9b693e8" style="width: 100.0%; height: 100.0%;"><strong><b>State  : ACA-VDCA Stadium</strong></div>`)[0];
            popup_864e696b4cff4d768fc1bbaa781ea7a6.setContent(html_869cdca5d4844be0a9b179f5f9b693e8);
        

        marker_1be23449fb30498d97772d96f3d999b0.bindPopup(popup_864e696b4cff4d768fc1bbaa781ea7a6)
        ;

        
    
    
            var circle_marker_d5c894005fb34a5188c4dfed009f2c1c = L.circleMarker(
                [21.2, 81.82],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_f5633b6ac7e74ecbae8650cc2b33ef11 = L.marker(
                [21.2, 81.82],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_e39b063b11564e50a48008eeea8b12ea = L.popup({"maxWidth": 200});

        
            var html_683045815def4615b8249678b95b6feb = $(`<div id="html_683045815def4615b8249678b95b6feb" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Shaheed Veer Narayan Singh International Stadium</strong></div>`)[0];
            popup_e39b063b11564e50a48008eeea8b12ea.setContent(html_683045815def4615b8249678b95b6feb);
        

        marker_f5633b6ac7e74ecbae8650cc2b33ef11.bindPopup(popup_e39b063b11564e50a48008eeea8b12ea)
        ;

        
    
    
            var circle_marker_044e684159c64d92a4521827767a533d = L.circleMarker(
                [23.31, 85.27],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_6f6b8befc37f4e57a1126e618742e747 = L.marker(
                [23.31, 85.27],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_4a0c598eca7446d282650b6935f8e4f7 = L.popup({"maxWidth": 200});

        
            var html_4bc715ff0cb34d9694aefbdcaceda31d = $(`<div id="html_4bc715ff0cb34d9694aefbdcaceda31d" style="width: 100.0%; height: 100.0%;"><strong><b>State  : JSCA International Stadium Complex</strong></div>`)[0];
            popup_4a0c598eca7446d282650b6935f8e4f7.setContent(html_4bc715ff0cb34d9694aefbdcaceda31d);
        

        marker_6f6b8befc37f4e57a1126e618742e747.bindPopup(popup_4a0c598eca7446d282650b6935f8e4f7)
        ;

        
    
    
            var circle_marker_4e48fda8afd74b409f4b5059d0f2d21d = L.circleMarker(
                [24.41, 54.45],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_7cb973dbb79d40edb370991e3285f117 = L.marker(
                [24.41, 54.45],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_1e82bad3f8ea4684961ec47bd3b08dd9 = L.popup({"maxWidth": 200});

        
            var html_36408b7559c94d7faef51dc2dcd3b5d2 = $(`<div id="html_36408b7559c94d7faef51dc2dcd3b5d2" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Sheikh Zayed Stadium</strong></div>`)[0];
            popup_1e82bad3f8ea4684961ec47bd3b08dd9.setContent(html_36408b7559c94d7faef51dc2dcd3b5d2);
        

        marker_7cb973dbb79d40edb370991e3285f117.bindPopup(popup_1e82bad3f8ea4684961ec47bd3b08dd9)
        ;

        
    
    
            var circle_marker_32eff61e54ec44db8bbeaaf72198307e = L.circleMarker(
                [25.33, 55.42],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_ede62cfac0124058a51b3cd2ad6d1133 = L.marker(
                [25.33, 55.42],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_5f691c70d0bb46c9b8d3ddf05c6d733d = L.popup({"maxWidth": 200});

        
            var html_91b36e97b9d642b8b11a6252858179c7 = $(`<div id="html_91b36e97b9d642b8b11a6252858179c7" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Sharjah Cricket Stadium</strong></div>`)[0];
            popup_5f691c70d0bb46c9b8d3ddf05c6d733d.setContent(html_91b36e97b9d642b8b11a6252858179c7);
        

        marker_ede62cfac0124058a51b3cd2ad6d1133.bindPopup(popup_5f691c70d0bb46c9b8d3ddf05c6d733d)
        ;

        
    
    
            var circle_marker_cd31c8db52864cc88e9874054f6e21ff = L.circleMarker(
                [25.04, 55.21],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
            var marker_5d26d16a7d394abaa128908d2048de85 = L.marker(
                [25.04, 55.21],
                {}
            ).addTo(map_fcec44aeb8584213ba275251290e14d5);
        
    
        var popup_b4cff9dd687d4b4497560cf935033ae8 = L.popup({"maxWidth": 200});

        
            var html_c988ad3e816a46cdbcae97054a14726f = $(`<div id="html_c988ad3e816a46cdbcae97054a14726f" style="width: 100.0%; height: 100.0%;"><strong><b>State  : Dubai International Cricket Stadium</strong></div>`)[0];
            popup_b4cff9dd687d4b4497560cf935033ae8.setContent(html_c988ad3e816a46cdbcae97054a14726f);
        

        marker_5d26d16a7d394abaa128908d2048de85.bindPopup(popup_b4cff9dd687d4b4497560cf935033ae8)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f77a9cfab50>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stadiums"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.059359,
     "end_time": "2020-10-27T15:54:59.417268",
     "exception": false,
     "start_time": "2020-10-27T15:54:59.357909",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<center><font size=4><b>Total no. of wins by each team</b></font></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:59.543099Z",
     "iopub.status.busy": "2020-10-27T15:54:59.542250Z",
     "iopub.status.idle": "2020-10-27T15:54:59.546379Z",
     "shell.execute_reply": "2020-10-27T15:54:59.546969Z"
    },
    "papermill": {
     "duration": 0.070224,
     "end_time": "2020-10-27T15:54:59.547122",
     "exception": false,
     "start_time": "2020-10-27T15:54:59.476898",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Sunrisers Hyderabad', 'Mumbai Indians', 'Gujarat Lions',\n",
       "       'Rising Pune Supergiant', 'Royal Challengers Bangalore',\n",
       "       'Kolkata Knight Riders', 'Delhi Daredevils', 'Kings XI Punjab',\n",
       "       'Chennai Super Kings', 'Rajasthan Royals', 'Deccan Chargers',\n",
       "       'Kochi Tuskers Kerala', 'Pune Warriors', 'Rising Pune Supergiants',\n",
       "       'Delhi Capitals'], dtype=object)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['team1'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:59.675811Z",
     "iopub.status.busy": "2020-10-27T15:54:59.674721Z",
     "iopub.status.idle": "2020-10-27T15:54:59.679325Z",
     "shell.execute_reply": "2020-10-27T15:54:59.678574Z"
    },
    "papermill": {
     "duration": 0.071551,
     "end_time": "2020-10-27T15:54:59.679456",
     "exception": false,
     "start_time": "2020-10-27T15:54:59.607905",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['team1'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:54:59.810633Z",
     "iopub.status.busy": "2020-10-27T15:54:59.809509Z",
     "iopub.status.idle": "2020-10-27T15:54:59.813674Z",
     "shell.execute_reply": "2020-10-27T15:54:59.814253Z"
    },
    "papermill": {
     "duration": 0.073932,
     "end_time": "2020-10-27T15:54:59.814414",
     "exception": false,
     "start_time": "2020-10-27T15:54:59.740482",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(14, 17)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[(data['team1']=='Kochi Tuskers Kerala') | (data['team2']=='Kochi Tuskers Kerala')].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.061243,
     "end_time": "2020-10-27T15:54:59.937217",
     "exception": false,
     "start_time": "2020-10-27T15:54:59.875974",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "- 'Rising Pune Supergiant' and 'Rising Pune Supergiants' is the same team\n",
    "- 'Delhi Capitals' and 'Delhi Daredevils' is the same team\n",
    "- 'Deccan Chargers' and 'Sunrisers Hyderabad' are of based in same city. And players were retained even though management changed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:00.094400Z",
     "iopub.status.busy": "2020-10-27T15:55:00.093396Z",
     "iopub.status.idle": "2020-10-27T15:55:00.096667Z",
     "shell.execute_reply": "2020-10-27T15:55:00.095945Z"
    },
    "papermill": {
     "duration": 0.095274,
     "end_time": "2020-10-27T15:55:00.096834",
     "exception": false,
     "start_time": "2020-10-27T15:55:00.001560",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data.at[data['team1']=='Rising Pune Supergiant','team1']='Rising Pune Supergiants'\n",
    "data.at[data['team2']=='Rising Pune Supergiant','team2']='Rising Pune Supergiants'\n",
    "data.at[data['winner']=='Rising Pune Supergiant','winner']='Rising Pune Supergiants'\n",
    "\n",
    "data.at[data['team1']=='Delhi Daredevils','team1']='Delhi Capitals'\n",
    "data.at[data['team2']=='Delhi Daredevils','team2']='Delhi Capitals'\n",
    "data.at[data['winner']=='Delhi Daredevils','winner']='Delhi Capitals'\n",
    "\n",
    "\n",
    "data.at[data['team1']=='Deccan Chargers','team1']='Sunrisers Hyderabad'\n",
    "data.at[data['team2']=='Deccan Chargers','team2']='Sunrisers Hyderabad'\n",
    "data.at[data['winner']=='Deccan Chargers','winner']='Sunrisers Hyderabad'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:00.259860Z",
     "iopub.status.busy": "2020-10-27T15:55:00.258698Z",
     "iopub.status.idle": "2020-10-27T15:55:00.451882Z",
     "shell.execute_reply": "2020-10-27T15:55:00.451063Z"
    },
    "papermill": {
     "duration": 0.292448,
     "end_time": "2020-10-27T15:55:00.452010",
     "exception": false,
     "start_time": "2020-10-27T15:55:00.159562",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "deliveries.loc[deliveries['bowling_team']=='Rising Pune Supergiant','bowling_team']='Rising Pune Supergiants'\n",
    "deliveries.loc[deliveries['batting_team']=='Rising Pune Supergiant','batting_team']='Rising Pune Supergiants'\n",
    "\n",
    "deliveries.loc[deliveries['batting_team']=='Delhi Daredevils','batting_team']='Delhi Capitals'\n",
    "deliveries.loc[deliveries['bowling_team']=='Delhi Daredevils','bowling_team']='Delhi Capitals'\n",
    "\n",
    "deliveries.loc[deliveries['bowling_team']=='Deccan Chargers','bowling_team']='Sunrisers Hyderabad'\n",
    "deliveries.loc[deliveries['batting_team']=='Deccan Chargers','batting_team']='Sunrisers Hyderabad'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:00.581880Z",
     "iopub.status.busy": "2020-10-27T15:55:00.580808Z",
     "iopub.status.idle": "2020-10-27T15:55:00.584296Z",
     "shell.execute_reply": "2020-10-27T15:55:00.583543Z"
    },
    "papermill": {
     "duration": 0.06991,
     "end_time": "2020-10-27T15:55:00.584425",
     "exception": false,
     "start_time": "2020-10-27T15:55:00.514515",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# deliveries['batting_team'].isin(['Sunrisers Hyderabad', 'Royal Challengers Bangalore',\n",
    "#        'Mumbai Indians','Kolkata Knight Riders', 'Kings XI Punjab', 'Delhi Capitals',\n",
    "#        'Chennai Super Kings', 'Rajasthan Royals'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:00.716601Z",
     "iopub.status.busy": "2020-10-27T15:55:00.715460Z",
     "iopub.status.idle": "2020-10-27T15:55:00.720369Z",
     "shell.execute_reply": "2020-10-27T15:55:00.719750Z"
    },
    "papermill": {
     "duration": 0.073772,
     "end_time": "2020-10-27T15:55:00.720495",
     "exception": false,
     "start_time": "2020-10-27T15:55:00.646723",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Sunrisers Hyderabad', 'Rising Pune Supergiants',\n",
       "       'Kolkata Knight Riders', 'Kings XI Punjab',\n",
       "       'Royal Challengers Bangalore', 'Mumbai Indians', 'Delhi Capitals',\n",
       "       'Gujarat Lions', 'Chennai Super Kings', 'Rajasthan Royals',\n",
       "       'Pune Warriors', 'Kochi Tuskers Kerala', nan], dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['winner'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:00.859262Z",
     "iopub.status.busy": "2020-10-27T15:55:00.858477Z",
     "iopub.status.idle": "2020-10-27T15:55:01.209963Z",
     "shell.execute_reply": "2020-10-27T15:55:01.210564Z"
    },
    "papermill": {
     "duration": 0.427406,
     "end_time": "2020-10-27T15:55:01.210719",
     "exception": false,
     "start_time": "2020-10-27T15:55:00.783313",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1332x756 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.gcf()\n",
    "fig.set_size_inches(18.5,10.5)\n",
    "wins=pd.DataFrame(data['winner'].value_counts())\n",
    "wins['name']=wins.index\n",
    "plt.xticks(rotation=45,fontsize=12)\n",
    "plt.yticks(fontsize=16)\n",
    "plt.bar(wins['name'],\n",
    "        wins['winner'],\n",
    "        color=['#15244C','#FFFF48','#292734','#EF2920','#CD202D','#ECC5F2',\n",
    "               '#294A73','#D4480B','#242307','#FD511F','#158EA6','#E82865',\n",
    "               '#005DB7','#C23E25','#E82865']\n",
    "        ,alpha=0.8)\n",
    "count=0\n",
    "for i in wins['winner']:\n",
    "    plt.text(count-0.15,i-4,str(i),size=15,color='black',rotation=0)\n",
    "    count+=1\n",
    "plt.title('Total wins by each team',fontsize=20)\n",
    "plt.xlabel('Teams',fontsize=15)\n",
    "plt.ylabel('Total no. of matches won(2008-2019)',fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.064414,
     "end_time": "2020-10-27T15:55:01.340326",
     "exception": false,
     "start_time": "2020-10-27T15:55:01.275912",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<center><font size=4><b>Top 20 players with most MOM awards</b></font></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:01.577606Z",
     "iopub.status.busy": "2020-10-27T15:55:01.562580Z",
     "iopub.status.idle": "2020-10-27T15:55:01.932555Z",
     "shell.execute_reply": "2020-10-27T15:55:01.933146Z"
    },
    "papermill": {
     "duration": 0.528217,
     "end_time": "2020-10-27T15:55:01.933359",
     "exception": false,
     "start_time": "2020-10-27T15:55:01.405142",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Players')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QVFBH5UcFNBXXt8kXd8NI0h45sU2aK8TdZdkBycFUfVJAfVYVQRnhLenFf9xJ4LCwo267t6EZV2DXbegtOfeuoeTF3aT/4RSCx0dR8U4eOy//iHGfnUfo1Ng+aYOIiPQPBXYyKDSVNVD1SQGj35tD5Byndy4oPZywk+Pb5XWFuvEkh/So/IC4IMJPS6B44U5SHzgBgJp1pdRtqSD+5tFUvJPbkrd+ZyV7f5BJ9fIivJWNBI2NJPXBE4i+aEhLnvUZrxE3bwQNe2oo++ceIs5NYeTfzyL3wXUUP7+Txvxa3DGBRM5NYfifzjjYEC/k3LOawmd3YFwQ980RpD02DeMy3b6Wkhd3k/TjiURd6LQn4dYIKt7PY/8Tmxj+5y/16L6IiMjgosUTMii4wwNwhQdQ9sY+vHXNx6SO+G+NpPiFXVivBaD4+R3EfCUdd0Tb/3+aq5qIuiCVMe/NYfzai4i5chi7rviYui3lbfLt/+UWgsdFMm7ll0l75ERK/7GH/Y9vZthvT2bS9ksZ9eZswma0DUyLX9qNCXAx7rPzGPr0DPY/uYXSV7JajucuWEum+XOX1+Gtb8YV3PZP2xXipurTwp7eEhERGWTUYyeDgglwkbHodLJv+pyiZ7cTOjWW8DMSiLk6nbBT2gZHRc/uoHjRrjZpaY9NJfE7Y7usI/L8VGyjl8rF+YSflUjxS1mMen0mFe/ntckXekIMoSfEtDxO+clkyv+dQ+mre0i5d3JLesTMRJLvnNjyuPzf+/CkBBM5NxXjcRE4LIyw6XFtyg6ZEEXqg06PYfCYSIr+sJ2KxfnEfn04AAHxwQSNjez6Os5LpeDJLUTMSiJodCSVi/Mp/edeaLZdniciIoOfAjsZNGKuHEbUhWlUfVJA1bJCKt7OZf8Tm0l9+ERS7pl0MN9X00m5f0qbcz0JQYct37hdxF0/gqI/7qCppJ6AuEDCv5TYLrBrrm4i74F1lL/pLOKwjV68dc2ETIluky/0kKAt5up0Cp7ayvrhrxN5XgpR56cSdckQXEEH594dWoYnNZSmgrqWx4m3jSXxtq4D1KFPTSf7ps/ZOOFNMBA0Mpz4G0ZStHDnYe+BiIgMbgrsZFBxBbuJPDeFyHNTSL1vClnfXkbegnUk3TG+ZXGCO8pD8KiIIyo/7sZRbJryJg1Z1cTfOKrDPPvuyKTi7VyGPH4SQaMjcIUGkPXNpdgGb9u2hrX98wocGsbErZdQuTiPivfz2fvDTHIfWMe45Rfg9uU1nrZDqMYAbYs9LE9CMKNen4W3rpmm4no8qSHk3LWaoOHhhz9ZREQGNc2xk0EtZEIUtsmL7aV5d8GjIgg7OY7qlcXEfXN4h3mqPi0k7psjiLlyGKFTYggcEkr9zqpule8KdhN14RCG/t90xn9xAXUby6le2n57lt7gCnYTmBYKTZayf+wh+tIhhz9JREQGNfXYyaDQVFzPrqs/Ju7GkYRMicEd4aFmZTH5j20iYk4y7sjAlrzemmYa82vbnG8CXQTEHn44FmD0f8/GW99MQEzH+YPHRFD22l6iLx2C8bjIfWB9txZ0FC3aCU1ewk6JxxXuofSVLIzHRdDorufMtVbw9FYKnt7KpC2XdJqnenkRDTk1hJ4YQ0NOLXkL1mG9kNRqvp+IiPinARPYGWPmA/OBXtk3TPyLKzyAsFPjKXhqC/U7qvDWNxOYFkrsNRltFiwAFC/cSfEh88nCzkhg3Kfnda+u0ABcoZ3/aQz55Ulkf+tztp75Lu6YIBJvH9etHsOA6EDyH93IvjtWYRu9BE+IYsQ/z+rREGlTUR31Wyu6zOOtayb33rXU76rEFe4h6supZLx4OgHRgV2eJyIig5+xtm9XyhljzrDWLu0qT9j0ODt+5Zf7qkki0ov0kWIiIseWMSbTWju9o2P9Mceub7bfFxERETnOaPGEiIiIiJ/oj8Cu9vBZRERERKSn+iOwGzALNkRERET8SZ8HdtbaZX1dp4iIiMjxQHPsRERERPyEAjsRERERP6HATkRERMRPKLATERER8RMDcoXqeIZr93oRERGRHlKPnYiIiIifUGAnIiIi4icU2ImIiIj4CQV2IiIiIn5iQC6e2Mw2pjO3v5sh0mvWZ3xCwm1DSb4jo7+bcsyt5N3+boKIyHFrQAZ2Ih1pLGwg7/6dlL9VRGNePe5oDyGTwkm+K4PIc+MA2DprJVUflQJgAg2B6SHEzUsl+ccZGLfpsNwD52S8OIm4b6S0pBctymXvbVuYWnX2Ubd93Ben4A5zH3U5R6JicTG5P91J7foqXOFu4r6ZStrDIzEB6rAXEfE3Cuxk0Nh15Vq8Nc2kPz+BoFGhNBU0UPlRKU3FjW3yxd2QStojo/DWeSl/s5C9392KcUPyj4d3WrYJdpF77w5irk7CFdR7AY+3wYsr0IUnIbDXyuyJmnWV7PjyapLvHk7GnybRmFPHnlu2QLNlyONj+qVNIiJy7OhfdhkUmsoaqfqkjLRfjCZyThxB6SGEnRxF8h0ZxH4tuU1eV6gbT3IQQRkhJN42jIg5sZS9Xthl+bFfTcJb56XwN3s7b0NxA7u+vo51Qz5mVchiNk78jKKFOW3ybJ21kuxbN7Pvjm2sTVjC1jO+AJyh2PzHs1ryZZr3KHx2HzuvXsvqsMWsH/EpxX/Oa1NWQ04du762jjUxH7Im5kO2X7iauu3V3bldLUr/mk/whHBSF4wkeFQoETNjSXtsNAW/2UtzZVOPyhIRkYFPgZ0MCu5wN65wN2VvFOKta+7Rua4QF7bR23We8ABS7htB3sO7aSpr7DCPt85L6LRIRr05lYkbTyPxe8PYc/NmKhYXt8lX8uc8rLWM/eRkMv40sdM68x7cRfSliYxfexqxX00i+8aN1GfXOnXVNLNtdiauYBdjPprOuGUz8KQEsv2cVXhrnOuvz6ol07xH0aLcTuvw1ntxBbf9M3eFuLB1XmoyK7q8JyIiMvgosJNBwQS4yFg0kZI/57EmeglbTlvBvju2Ub28vNNzrNdS/nYRFe8UEzEn7rB1JMxPIyDOQ/4vsjo8HpgWTPKPMgg9MYKgEaEkzB9C9BWJlLyc3yZf0PAQhj4xluBxYYSMD++0vrjrUoj7RgrBo0JJ/dlICDBUfVIGQMlf88Fa0hdOJHRKBMHjwkh/ZgLNVc2Uven0PhqPIWhsKO6ozmdURJ0XT/XycopfzMU2eWnIqSPvwV0ANObVH/aeiIjI4KI5djJoxFyZRNSF8VR9UkbVsjIq3i5m/xPZpD48ipR7Ds6fK3p2H8WLcrENTi9d7HUppN4/4rDlmwAXaQ+PYvf1G0i8bWi747bZkv+L3ZS+sp+GnHpsvRfb4CV8VkybfKEnRXbrekKmHAz6TIAzD6+poAGAmswK6nfXsSbiwzbneGuaqd/p9OoFpgUzacsZXdYROTeOIY+PYc9tW8m6YROuIEPKT0c4AWQni0lERGTwUmAng4or2E3kuXFEnhtH6n0jyfr2RvIW7CTpjnRcgU4HdMxXk0m5fwSuIBee1KBOV8N2JObqJPIfzyL3/p2En9k2YNv/eBb7n8hm6FNjCZkcgSvcTe49O2j0BWMtbezm6lfjOaTD3Di9jADWC6EnhjP8r1PanRcQ6+n29QAk/SCdxO8PozGvnoAYD/VZteTcvYOg4SE9KkdERAY+BXYyqIVMCMc2WWydF3yBnTsqgOBRoUdc5pDHRrNtzqp2AVTVp2VEXZxA3HWpAFhrqdtWjTu6Z4FWd4ROi6D05XwC4j0E9EL5xhgCU4MBKH05H8/QYEKnda9nUUREBg/NsZNBoam4gW1nr6T4z3nUrKukfnctpX/fT/5jWUTMicUd2Xv/o0TMjCXq/DgKnm67QjZoTCiVi0uo+rSUui3V7L1tC/W763qt3tbirk0hICmQnZeuofKjEup311L5cSl7f7i1ZWVsQ04dG8YtpfS1gi7Lyv/fLGrXV1K7sYq8n+0i/xdZDPvV2B71ZIqIyOCgHjsZFFzhAYSdGkXBU3uo31GDt95LYFoQsdckk3Lv4efP9VTaL0ZTfsIyTMjBYdWUe0fQsLuO7ResxhXiIm5eKnHXJlO7qWdbkHSHK9TN2I+nk3PXDnZdvY7m8iY8qUFEzI4lIMbpwbONlvqtNTSXd71tScV/i8h/eDfeei+hJ0Qw8l8nEnVBfK+3WURE+p+x1vZthcacZq1d1kH6fGA+QOCw4JMmZ5/Zp+0Skd6hjxQTETm2jDGZ1trpHR3rj6HYnI4SrbXPWmunW2unByT0/pwlEREREX/XH4Fd+30kREREROSo9Udg1/sTkkRERESkXwI7rcQVEREROQb6PMiy1q7q6zpFREREjgfqPRMRERHxEwrsRERERPyEAjsRERERP6HATkRERMRPDMiPFBvPGO1eLyIiItJD6rETERER8RMK7ERERET8hAI7ERERET+hwE5ERETETwzIxRNb2MwZTO/vZogc1mcmkzF/H0H8VTHdeiy9Zykr+7sJIiIDjnrsZFDZPi+LzRftAGDPglxWT9rYLk9jUROfmUzKl1R2Wk5H51auqGZF/Bq2z8vCNtleae/0vCnEXhzVK2UBNOQ1su2aXawet4HP3Jlsn5fVYb7if5SyesJGlgWtYvWEjRS/VtprbRARkYFLgZ0IUPZ+BRvnbCPh+jhGLUzHBJheKTcw2YMrqPf+zLz1XgLiA0i7K5mIU8I6zFO5rIqtX91FwrWxnLBmPAnXxrL16l1ULq/utXaIiMjApMBOjntFfy9l80U7GHJPMsOfGIoxTlBX+nY568/cyvKYNayIXcOm87ZTs7m2R2V/ZjIpevVgb9neB3NZmb6eZUGr+CJ5Ldu/ubtH5QVnBDHiV8NInBdPQGzHMylynywganYEQ36SQuj4EIb8JIWoWRHkPbm/R3WJiMjgo8BOjmv5zxSy/drdjHh6GEPuTmlzzFvtJfX2RKasGMfEJWNwR7nZcvFOvA3eI6qr+B+l5D6+nxG/Hca07ZMY/+Yowmcc7HUrWFTEZyaTuqz6o7qmymVVRM+NbJMWfV4kFZ+px05ExN8NyMUTIt1Vu7mOz8NXH9G5ddvr2XXLHoY/PZSkb8e3Ox53ZdsFD6MWprM8cg1VK2qI/FJ4j+urz27Ak+Ihem4kLo8haFgg4dMPBnbuKDchY4MwnqMbBm7Mb8KT5GmT5kny0JjfeFTliojIwKfATga14JFBjH9rVJu0ptJm1s/YcthzA1M8eBIDyPu/AmIvjiZoWGCb43U769nz0xwql1fTVNiE9QJeqN/TcERtjbs6htynClg1fD3R50USfX4UsZdEtczBi7s8hrjLe2n17KGxoe0gTURE/I6GYmVQM4GGkFHBbb6Chwd161xXuIsJ74/BkxjAhllbqctuOwS6+eIdNBY2MfKZdCYvH8cJq8djAsAe4VBs0NBApm2dyIhn0nFHusn64V7WnrSZ5urmIyqvM57kgHa9c40Fje168URExP8osJPjWkCkmwnvjCYwLZCNM7dRt9sJ7hqLm6jdXMeQe1KIPieS0PEhNFd6sU1HV58r2EXshVEM/7+hTPliPLUb66hc2rtz3yJOC6fsvYo2aWXvVRB5eseraEVExH8osJPjnjvCzYS3RxGUEciGmVup21lPQIybgPgA9v+hkNoddZR/VMmuW7IxRzF5oWBREfufK6J6fS11u+spWFiM8RiCRzs9jMWvlbJ63Abqc7oe6q1eU0P1mhqaK5ppKmmiek0NNZsOrtZN+V4i5R9Usu/nedRsqWPfz/Oo+LCSlNuTjrzxIiIyKGiOnQwuXntUwVVn3GFuxr81mi2X7GDDzK1M/HAMY18Zzq7v7mXNpE0Ejwoi44khbL1y15HXER1AzqP5ZN2xD9toCZkQzNh/jmgZOm4ub6Z2az22sevNkddO3dzmcem/ywlKD+SkrMkARJ4ezpi/jmDvvTnsvT+P4JFBjHllRKf73omIiP8w1vbODvvdrtCYBGttYQfp84H5AIHDAk+anj25T9slg8PGudsIHhnEyN+l93dTpJ/pI8VE5HhljMm01nb42av9MRTb4Qxua+2z1trp1trpngR1JEpbjUVNlPyrjIqPqog+N/LwJ4iIiByH+iOCGgHk9kO9Moht/cou6rbXkQUdeu0AACAASURBVHZnErGXR/d3c0RERAak/gjstGBDemzSB2P6uwkiIiIDXn8EWcX9UKeIiIiI3+vzwM5au7Gv6xQRERE5HmhYVERERMRPKLATERER8RMK7ERERET8hAI7ERERET8xIHcCHsd47SovIiIi0kPqsRMRERHxEwrsRERERPyEAjsRERERP6HATkRERMRPKLAT6QVZWVkYY1i5cmWHj3tTUVERxhiWLFnS62WLiMjgNiBXxe5kM1cwvb+bIQNM5rws6ouaOP3NUS1peW+W8cVXdjHy+0lMfDitJT3nn6WsuHoXQ74Wy8kvDe9W2XtecD7G2ARAyNBAUq+IYfwDKQSEuQ97fjX1APyI64ghrN3j3lRPEwA/5WYSiOj2ebufLWTfyyWUr66lsbyZubsnEZYR1CZPQ2kT6767l7w3ygBIuSSaKb8eSmD0wHup+KdWzouItKMeOxm09rxYzIordzHh52ltgjqA7OeKGHNnMnmvl9FQ2tSt8hLOieCCvCnM3TWZCQ+lsfu3BWy4Y9+xaHq3eBu8vVpec42XxLmRjFuQ0mmeldfspmxVDaf/dzSnvz2aslU1ZF6X1avtEBGRY2fg/Rsu0g07ntrPxjtzmPpcOsOui2tzrHZfA4UfVnLSi8MpXVHN3pdKGHlb4mHLdAW5CE72ABB6TSyFH1aS+3oZJ/4uneZ6Lxt/nMO+l0toLG8m6sRQJj0+hPgvhXervbbZsnp+NoUfVFKX30jIkEAybopn9B1JGJcBDvZIxp8Zzs5fF+BtsFxYcAKlX1Sz5pY9VGysJWJ8MBMeSjtMbR0bdXsSAKUrqzs8XrG5lv1vV3DWp2OJO925rhOfSeeTM7dSubWOiLHBR1SviIj0HQV2Muhs+mkOO57Yzyn/HEnyhVHtjmcvLCZxbiRBcQEMvS6WnU8WdCuwO5Q7xGAbLQAb78xh399KmPbHDEJHBLLjlwV8dv525m6fRHCK57BlWS8EpwUy428jCEwIoHRFNWvm7yEwLoCMb8W35Cv+qBJPlJsz3h6NtdBU3cxnF+4gfmY4J72QQW1OA+tub9+L+E7GeuJnRXDSooweX+cBJcuqCQh3EXv6waHjuDPCcIe5KPmsSoGdiMggoKFYGVQK36tg60P5zPh7x0GdtZbshUUtvXhpV8VQtb2e0syOe6k6U7Kimn1/KSFhTiRN1c3s+l0hkx4dQvKFUUSOD2Hq74cRnBTArt8UdKs8l8cw4cFUYk4OIywjiCFfiSXjlnj2vVzSNl+wi2l/TCdyUghRk0PY+1IJtsFy0sIMIieFkHReFGN/ktyu/LCRQd0KMLtSn99IYEIAxpiWNGMMQYkB1OU3HlXZIiLSN9RjJ4NK5KQQGsub2fJALrFnhLWb1F+4uJLG0maSL3aCvoBwNymXRZP9XBExJ3W9iKHg7XLeCF+NbbJ4Gy0pl0Zzwq+HUr2zHttoiT3j4LCrcRtiTwunYlNdt9u++/eFZD1XRE12A821XmyjJSQ98JDrC8YddPD/rcrNdUROCSEg/OACjtjT2g//fmnxmG63oyutYrqDbGcHRERkoFFgJ4NKUIqHU98Yyadnb2PpOds5473RBMYc/DXOeq6IxrJm/h22uiXNWvBEuJn0xFACQjvvpI47K4Kpzw7D5TEEpwbi8jjBTF2e01vVUWzT3Xhn3yslrLt9L5MeH0Lc6eEERLrY9ZtC8l4ra5PPfegKXNu98ntDULKH+oImrLUtvXbWWuoLmwhO0kuFiMhgoKFYGXRC0gI5c8lYmqq9fDpnG/XFzqrXhpIm8l4v46QXMjh7zYSWrzlrJ+AKMuS+Wtplue5QF+GjgglND2oJ6gDCRgXhCjQUf1rVkmabLSXLqoiY0L15Z8WfVhFzShgjb0skeloo4aOCqd5Zf9jzIiYEU7G+lqbq5pa00s+rujjjyMWeFkZTlZeSZQeHrUuWVdNc7SX29O4tEhERkf6lwE4GpeAUD2cuGYO3wfLp2duoL2piz4vFBES4GXptLJGTQtp8pV4RTdZzRUdUV0CYm+G3JrDxrhzy3yqnYnMta27dQ93+JkZ8p3uLMsLHBFO+qob8/5ZTtb2OLT/Lo+ijysOeN/SaWEyAYdWN2VRsrKXgvQq2PpzfLt+nc7ax8e6cLsuqy2+kbE0NVducgLJyUx1la2poKHEC48jxISSdH8mam7Mp+byK4mVVrLk5m+SLorRwQkRkkND4igxawUkezvxwDJ+es51PZ2/FNkPq5dEYd/vx0bSrY9j9++1UbqsjYkzPg5SJjzpbjKy6IYvGsmaipoZy+tuju71gYfjN8ZSvqWHlNbvBQuqV0Yz+YRLZfyzu8ryAcDenvTmKNbdm8+G0zYSPC2bio2l8fsnONvmqd9YTMjSwk1Icu39fyJYH8loeL7twBwDTFqaTPs9ZmTv9peGs++5els7dDvg2KH56aLeuUURE+p+xtg8n8QDGmHhrbbuuE2PMfGA+QMiwwJPOz57cp+0SkcFFnzwhIscrY0ymtbbDj+jqj6HY8R0lWmuftdZOt9ZOD0pQR6KIiIhIT/VHYJfdD3WKiIiI+L3+COziDp9FRERERHpKq2JFRERE/ESfBnbG2fU0pC/rFBERETle9OkqBesswf2sL+sUEREROV5oKFZERETETyiwExEREfETCuxERERE/IQCOxERERE/MSA/4mEk4/VxQSIiIiI9pB47ERERET+hwE5ERETETyiwExEREfETCuxEuiErKwtjDCtXau6niIgMXANy8cQeNvMdpvd3M2QAeeviHTTVernk/THtjpVuruWvEzZx0bujGXpuZLvjjTVeMh/KY+ffSqne14An3EX02GAm3ZbI6K/Hdqv+CuoB+AXXkUjY0V1MP9j0bCHbXy6haHUtDeXNXLt7EpEZQW3yZD6cx563yilaU0tTjZdb7Un91NqB57dazCUig4R67GRQGP/teHI+qKQiq77dsc3PFxORHsiQOREdnvvxLdnsfKWEM54cwte2TOSid8cw+htx1Jc0HetmDxiNNV6Gzo1k+oKUTvM011uGXxHDlNsT+7BlIiLSmwZkj53IodIvjCI0KYAtC4uZ8UBqS3pzo2Xbi8VM+n8JGJfp8NysN8o57fEhZFwU7SRkQMK00DZ5rLWs+d/9bHqmkOrcRqJGBTH1x8mM+UZcm3yV2Q0svzuH/KVVRGQEccZTQ1t6Cf9xymZGXBHD1B8nA/D+tbvZ/pcSrs+bQmiyh8YaL3+MXsMlH44h5Yxw9rxdTubD+ZRsqMUYSDw5jDOeHELM+JCW+vYvr+bjW7Mp3VRHzPhgZjycxlsX7uCSD8eQNqvjQLYjJ9yeBEDByupO88x40LmvO18t7Xa5IiIysKjHTgYFV4Bh7PVxbF1UjPXalvTsf5dRV9TEuBviOz03NDmAvW+XU1/e3GmeFffmsvn5Is78zTC+tmkiU+9O4aOb95D9n/K2+X6Sw+TvJnL12gkknBzKe1/bRWOVU27qrAhyPqxsyZv7USXB8QHkLHHS8pdW4fIYEmc4Q7mN1V6m3J7IlSvGcemSMQRGuXnr4p00N3id41XNvHXRDqLHBXNV5nhOfWwIy360r13b/5yxng/mZR3mDoqIyPFAgZ0MGuO+FU/Vngb2vX8weNr8fBFD5kYSPjSw0/NmPpvO/uXVLIpfw9+nbeKT2/aw972KluON1c2s/eV+Zj2XzrDzo4gcHsSYa2IZf1M8G35T0KasKd9PIuPiaKJHB3PKI2nUlzRTtKYWcAK7vE+r8DZZyrbX0VDezIT58eT6gr3cJZUknx6G2+P0LI68MoaRV8YQPTqYuCmhzF6YTuXuegpW1ACw7aUSbLNl9vMZxE4MYei5kUz7Sfuh1MiRQYSmeI7wroqIiD/RUKwMGtGjg0k5K5wtfyxi6NxIqnMb2PtOBee+MqLL81LPiuDaXZPZ/3kV+UuryfmggjfnbmfC/HhmPpNO6aY6muss/zl/B7QazfU2WiIy2gaMcVMODpOGpTrBVG1Bo1PPmeF4670UfFFNyYZaUs4MZ8g5kXx0SzbgBHbDvhzVcn75znpW/DSHguXV1BY2Yb1gvVC5p4EUoGxLHbGTQggIOfj/V9Ip7RduXLK4/YISERE5Pimwk0Fl/Lfj+eimbOpKmtiyqJig2AAyLok+7HlujyH1zAhSz4xg2l3JZD6Ux4qf5jL17mSsM/LJBf8eScSwtoGcy2M6fWyM8/OB8z3hbuKnhZLzYSWlG+tInR1B0mlhVGU3ULa9joIvajj1sSEt5//34h2EpXmY+Uw6YWkeTIDhlQkb8fqGYq2lTaApIiJyOBqKlUFl5FUxuINdbPtzCVv+WMzYb8a1DG32RMyEYAAaq7zETAjGHWSoym4galRwm6+I9KDDlNRW6qwIcj+sJPejStJmRRAQ7CLxlDBWPZzfZn5dXXETpZvrmHZPCkPOiSRmfAiNlV68rRbqxowPpmR9LU213pa0ghWdL34QERFRj50MKgEhLkZfE8vKBbnUlzYz/ltxhz3nX7O2MurrsSRODyUoLoDSTXUsvyeH6LFBxIwPxuU2nHBHEp/dsQ9rIfWscBqrvOz/vBrjggnzE7rdvtRZEax9Yj+eMBfxvpW3qbMiWPVwHmmzI1qC0KAYN8HxAWz6QyHhQz1U5zSy7Ef7cLX6ixxzbSwr7s1lyU3ZTLsnmZrcRlY9kgeAaRXLvjFnG4kzwjj152mdtqsmv5Ga/EbKtjnbxZRuqqOhrJnwYYEExzqVVu5poL6kiUrfljJFa5y5flGjgvCEu7t9D0REpP8osJNBZ/y349n4u0KSTw9rszVIZ4aeF8m2F4tZ8ZMcGqu8hCZ7GHJuJNPvS8HldiKkGT9LJTTJw9rH9/PxrXsIjHQTf2IIJ96Z3KO2pZ4ZjjGQcmZES9lpsyPIfDCP1FbbkxiX4dxXhvPpd/fyyqRNRI4K4vQnhvDOlbta8njC3Vzw75F8cuse/j51M7ETgpm+IJV3r9qFO/hgZ3vFzvouF48AbPx9ISsfyGt5/NaFOwCYvTCdcfOcFcVf3JfL1heKW/L8fepmgB5vrSIiIv3HWGsPn6sPGGPmA/MBwocFnnRd9uR+bpHIwLP7X2W8fflO5hWcQEi8/i/rK/rkCREZSIwxmdbaDj+iq8/n2Bljbugo3Vr7rLV2urV2ekiC3rBEALa8UEzuJ84nbmS9WcbS2/eScXGUgjoREelQf7w7dL5LrIi0Ubu/kZX351Kd10hosof0C6M49dHO59KJiMjxrT8Cu039UKfIoDT1zmSm9nCen4iIHL+03YmIiIiIn+iPwK7p8FlEREREpKf6PLCz1q7p6zpFREREjgcaihURERHxEwrsRERERPyEAjsRERERP6HATkRERMRPDMjt64cxXh/hIyIiItJD6rETERER8RMK7ERERET8hAI7ERERET+hwE5ERETETwzIxRO5bOYBpvd3M0R61QKTydV/H8HEq2I6zfPavCxqipq49s1RfdgyOZz7tZhLRAaJARnYiXTktXlZrH2hGABXAATHBJA4MZgJV8Vw0vwE3B7TknfhrK1kf1Tl5PUYooZ6mPiVWGYtSCEgqPOO6oYaLx8/lMfGv5VSsa+BwHAX8WODmXFbIpO/HntU7f9h3hRCYtwAlGbV89TwDdz0xTjSpocdVbkdqcxr5J0f7iVvVQ0l2+uZcl0cly/KaJOnYGMtH96fS96qGsp2NzDz/hRmL0jt9baIiEjfUWAng8qIcyK4/MXh2GZLdWETuz+o5MP7c1n7YgnXLx5NYJi7Je+JN8Qx55E0mhssuV9U8/oNWQCc8/O0Tst/85Zs9i6t4vynhpI4KYTakmZylldTW9J01G2PSPYcdRnd1VTvJTQ+gC/dlUzms0Ud5mms8RKdEcT4K2L44N6cPmubiIgcOwrsZFBxB7laAqTItEBSTgxl5NxInpm2maWP7Wf2Awd7nDyhB/NGDwtk/V9K2PluRZeB3dY3ypn7+BDGXhQNQEwGpE4LbZNn4aytJIwPxhPqYvXCYlxuw1n3JjP9lgTe+cE+1r1UQlCkizkPp3HCdXEt57Uein1q+AYA/nDyFgDSZ4Zzw5KxLXk/f2o/Sx/bT2ONl3GXRfPl3wwjMLT7U2JjMoL48q+GAbDp1bIO86SdHEbayU5v4SeP5HW7bBERGbi0eEIGvaRJIYw6P5JN/yjtNE/+2hr2LK3C1Wq4tiPhyQHseLucuvLmLvOte6mEwAg3Ny0fx5fuSubt2/fx18t2EjcmiPkrx3Hi9XG88e1sKnIbOjz/phXjAPjG26P4Yd4UvvrPkS3H9nxSScGGOr75/miuemUEm18rY/lT+1uOr15UxAKTSWlWfZdtFBGR448CO/ELCROCKd3VNtDJfLaIh8NX87OgVfz+xM3UFDZxxo+Suizn4mfTyVlezWPxa/j9tE3857Y97Hyvol2+xIkhzF6QStzoYE77QSKh8QG4PIZTv5dE3KhgZt6XirWw97PqDusJTXA6y0PiAohI9hAae7DzPCjSzYW/G0bC+BBGzY1k4tUx7Fpc2XI8OMpN3NigNnMKRUREQEOx4i8sGNM20Jn01Rhm3p9CfYWXpY/mExzjZsKVna9IBcg4K4Lv7ZrMvs+r2LO0mt0fVPDi3O2cND+ei59Jb8mXNCWk5WdjDGGJASRNPpjm9hhCYtxUFzT2+FISJoTgDjh4LRGpHvYtPxggjr88hvGXd30dIiJyfFKPnfiFwk11xIwIbJMWFOUmblQwqdNCueLPw9n9QSWrF3W8kKA1t8eQfmYEZ96VzDffHcPsn6WS+WxRm6HPdkO6puM06+35tXRcju15QSIictxRYCeD3v4Ntex4u5wJXewP5/YYzrwnmcV359BQ07NoK2FCMAANVUcQpXXWnkAneLNdT+UTERHpEQV2Mqg013upzG+kIreB/LU1fPbL/SyatZWUk8I4/Y6u589NviYWjGHF0wWd5lk4aysrnykkN7Oa0qx6tr1VzuJ7cogbG0TC+OBeu46wRA8BIYYd75RTtb/xsIs1Wtv8Wim/HreBipyOF2YckLemhrw1NdRXNFNb0kTemhoKNtW2HG9q8LbkaaqzVOU3kremhuIddUd8XSIi0r8GzBw7Y8x8YD5A1LDAw+SW49Wu9yt5ImUdxg3B0W4SJ4Uw6/5UTro5noDArv9PCQh0MeO2BJY+ls/JtyYQFOFul2fUeZGsfbGYxT/JoaHKS3iyh5HnRjLzvhRc7t5brOAOMFzwq2F89GAuHz2Qx7Az22530pW68maKt9bT3Nj18OwzUze3ebzt3+VEpQfy/azJAFTmNrbJk7mznsxnitptvSIiIoOHsbZv5+4YY0631n7WVZ7U6WH25pXj+6pJIiJd0keKichAYozJtNZ2+NmrfToUa4zx9HWdIiIiIseLPg2yrLWNQPtNwURERETkqPVH71nHO7aKiIiIyFHpj8Du9H6oU0RERMTv9XlgZ619sa/rFBERETkeaCGDiIiIiJ9QYCciIiLiJxTYiYiIiPgJBXYiIiIifmLAfKRYa6mM107vIiIiIj2kHjsRERERP6HATkRERMRPKLATERER8RMK7ERERET8xIBcPFHIZp5hen83Q2RAKsqq597hG7j7i3GkTw9r91h6381azCUig8SADOxEurJndQ0/n76Z4aeGcefSce2O32IyW372hBiikj0MPzWMmd9JZNSXwrsse9G8LD5/oRgAlxuiUj1MvjCKSx9JIyzGv/5cPnm2kC9eLmHv6lpqy5t5aPck4jOC2uR56+E8NrxVzr41tTTUePm9PamfWisiIt2hoVgZdD79QxEzv5NA7oZa8jbXdpjnG39I59G8KSzYPJHrns/AHejiibO28u7/5h+2/HHnRPBo3hQezprMdc9lsO7f5bz8nT29fRn9rqHGy4S5kVy0IKXTPE31lqlXxHD27Yl92DIRETlS/tUFIX6vodbLF38p4Ycfj6GhxsvS54u56vEh7fKFRLuJSvYAEJcexNjZEUSnenj97hxOvDyaxFHBndbhCXK1nBszJJDpX41h2aLiluOL5mVRXdTE/3tzVEvavxfksvrVUu7bMBGAnPW1/O32vWR/UY21ED8iiK88OZSxsyNobrS8+sO9rHq1jOriJiISA5hxbSyX/8K5jqYGL2/8NJcVL5VQU9pMyoRgLnkolYnnRR39DWxlzu1JAGSvrO40zyUPpgKQ+Wppr9YtIiLHhnrsZFBZ9WopsemBDJkSyinXxbH8T8U0N9punXvOD5OwXljzelm36yvcVc/Gtytwe0yP2vn8NbuISvFw14rx/GT1eC5akIIn2Cnjg18VsOa1Mr791+E8uH0S335lBEljDwaaL9yQzfaPqvjWX4bz0/UTOPX6OH578U72ra3pdv33ZKxn0bysHrVZREQGP/XYyaCy9LkiTrkuFoAxM8PxhLpY+0YZ066MOey54XEBRCQGULSroct8G98u53vhq/E2WxrrnKDxql+27xXsSkl2A+fekUzyOCdga91DWJJdT+KYYEadGY4xhthhgYw83Zn7V7iznpUvl/Bw1mRihwUCMPu2RLa8X8HHzxRxzW+Hdav+hJFBRKV4etRmEREZ/BTYyaBRsKOOnUur+NbLwwEwxjDj2liWPlfUrcAOwFowh+l8G31WBNc+O4zGWsunfyikcGc9Z3+3Z3PM5vwgiRe/7SzEGDsngmlXxrQEeafNi+epc7dx35iNTJgbyaQvRzHxgkhcLsOeVTVYCw9M2NimvMZ6L+POjux2/d9fPKZH7RUREf+gwE4GjaXPFeFthnuGrW9Js75R2JK9DcQODezy/KqiJqoKm4gfEdRlvsBQV0sP21d/NYxfzt7Kf36Wx8ULnPlmLhdY23b499Dh4IsXpDLj2lg2/reCTe+U858H8rjm98M448Z4hk0L5eGsyWx8u4KtH1Sw6PrdDDkhlO+9NxrrtRgDd30xrt3wrydEMydERKRrCuxkUGhusix7oZjLfp7G5IvaLiJYdN1uli0s4sL7Urss470n9mNccMKlPVuEcOH9qTx9wXbOnB9PdGog4QkB7F3Tdr7bvjXt578ljQ4maXQwZ383kb/cms3S54o448Z4AIIj3Jx0dQwnXR3DafPiefTULRTuqGfo1FCshYr8JsbOjuhRO0VERBTYyaCw/j/lVBU18aWb4gmPa/trO/1rsXz0u0IuuDcFl8vp5aota6Y8v5HmBkvhznqWvVDM8j8Vc/ljaV2uiO3I2FkRpEwM4a2H8rnmt8MYe3YE7z62n6V/LGL0WeGs/mcZO5dWEzPEmdPWUOvlH3fsY9rVMcRlBFK5v4kdn1Yx/BRn8+D3f7mfqBQPQ04Mwe0xrPhLCcGRLmKGBBIY6mLGtbG8MC+LK58YwrBpodSUNLF1SSUJI4KYekX3hpz/b842MmaEcfnP0zrNU57fSEV+I/u31QOQt6mO2rJmYocFEhbr3OOSPQ1UlzRRnOXkORDQJowKIjjc3aP7KCIix54COxkUPnu+iLGzI9oFdQDTro7htbty2PJ+JRPmOvPQ/nxTNgABQYaoFGeD4h8sGcPos46sF+ycHyTxpxuyOO/HSUw8L4oL70/hXz/JoaHGy4xr45j5nQTWveGstnW5oaa0iReuz6Iiv5GwuAAmXxTFlb5tWYIiXLz7v/kUbK/HGBg6NZT/+e9oAkOdodbrF2bw1sN5vHbnPkr3NRIW6yZjRliPevAKd9YTc5ih6Y9/X8h/HshrefybC3cA8M2F6Zw+z+lZfOO+3JYNmwEenroZgO9/OIaxs9SjKCIy0JhD5wod8wqNSbTWFnSQPh+YDxA7LPCkR7In92m7REQ6o48UE5GBxBiTaa3t8LNX+2M29siOEq21z1prp1trp4cnqCNRREREpKf6I7DrfJt7ERERETli/RHYdfzhniIiIiJyVPojsEvqhzpFRERE/F6fBnbGGAPk9mWdIiIiIseLPl2lYJ0luLv6sk4RERGR44U+o0hERETETyiwExEREfETCuxERERE/MSA3Ak4gfHa6V1ERESkh9RjJyIiIuInFNiJiIiI+AkFdiIiIiJ+QoGdiIiIiJ8YkIsnytjMv5je382Q49TiRUX84ba9/LVq6mHz7s+q5+bhG3j8i3GMmh7WB62T/nCpFnOJyCChHjsZdHatruEKdyZ3nbGlW/lfXpDLZSaT+87Z1u7YW78t4DKTyXcnbWxJ+9JXY/n9rkm91t5jbc/GWh69aic3j1jPZSaTlxe0/9S+jR9X8vAlO7gxbR2XmUwWLyrqh5aKiMixpsBOBp13/1DE+d9JYM+GWvZuru3WOTHJAWz6pIr9WfVt0hf/sZiEYYFt0oJCXEQnenqtvR1parS9VlZ9jZfEjCCueSiNpOGBHeaprfIybFII335qKIEhptfqFhGRgUWBnQwq9bVePv5LCXNviue0q2J4//nibp0XERfA9Auj+GDhwfxZ62rI2VLHaVdFt8m7eFERXwtf3fK4cG8Dj1y6g2/EruEroav4f+M28MlfS9qcU5DdwP3nbuMroau4bcJG1rxX0XJs/ZJKLjOZrHyrnB/N2MxVgatY/U45eTvreeTSHcxLXstXw1bzg2mb+OLNsh7fk9Enh3HD40OYeU0sQaEd/0lP/3IU1z2SxulXxeByKbATEfFXCuxkUPns1VIS0wPJmBLKrOviWPKn4m73fp3zrXg+eKEYr9fJ//7zxZzxlRhCItxdnvfMd/ZQX+PlZx+O4dcbJ/KtJ4cSFt32nJd+ksOF303kybUTGH1yKE98bRe1Vc1t8vzpx/u45qE0nt4ykTGnhFFX1cy0C6JY8N4Ynlw7ntOujOHRK3axb0tdyzkHhpFFRES6Q4GdDCrvP1fErOtiAZg0M5zAUBcr3uheL9fU8yNpbrSsW1xJY72Xj14qZs6N8Yc9rzC7gfFfCmf4CaEkDQ9i2vlRTDs/qk2eS76fzSd6uwAAIABJREFUxIyLo0kdHcw3HkmjsqSZ3WvaDhN/bUEqU+dGkjwiiKgED8NPCOX8WxLImBxCyqhgrv5JCiOmhfLZq6Ut50TGB5A2Nuj/s3ffYVXWfRzH3zd7b1CGgIoirtRoD1dbbdkuU3NUZtPW09SW7Z1lWdpeNp4ysydLy6aJ4BZFBVFAliBw2Od+/jiGntiIIPR5Xde55Pzu37q5AL/nt+4m3Z+IiMgRuStWpC6ZKWVs+rWYGR92B8AwDIZeGcDSebmcONa/0fKOjgbDxwfyw1u5FOdX4R3oRN+TvVizdF+D5UbfHMJr16WRuGQfA0d6c9wFfsQcbb8DNmqge83XAWG29XmF2ZV2eWLiPezel5VU89GsTFYtKmRvZiXVlSYVZVa7ukZND2HU9JBG701ERAQU2EkH8v28XKzVMDly3YHE/bOwOekVBHere+PAwU67JpCbB24kO7WC05owWgdw+qQgBp/pQ8LiQtYsLeLuE5MZ+5+uXD4zrCaPk/OBdWuGYfvatNrX4+ZpP3274PZdrF6yjwlPRxDWyxVXDweevzqVqorW21ghIiL/LgrspEOorjJZ9nYe42aHEz/afhr0+XE7+HF+Lpc+EFZP6QNCY9zodYwnm38r5q7Peza5/aAIF86cGsyZU4P5/Iksvn4h2y6wa4mNvxQz/OrAmtHGijIrWdvKCevtdkj1iojIv5cCO+kQVn1TyL7cKk6fEoRPoP2P7SmXBfDtqzlcfF9ok3Z8PvBtLyrLrXj5N+3Hf97N6Qw524ew3m5Y9lWzekkh3foeevAV1tuNP74o4Njz/HB0Nvh4VgaVZfbDfN+8nM3il7N5ZXP95+pVVlhJ32jbcFFRZlKQVcn2JAvuXg6Extj6WVpcTWaK7agXq9Ukd2cF25MseAc41TruRUREOi4FdtIhLH0zl/7DvWsFdQAnXuzPO3fvZs3SIgaf4dNoXa4eDvUeC1IXq9XkjRvTyU2vwN3bkYEjvZn4TESz+l+Xa56N4OVJadxzSjJe/o6MuSWEyjL7adh9uVXsTi6vpwab/IxKbhu8qeZ91rZyvpubS7+hXjy6PBaAlFUW7h9+4IDmDx/M5MMHMxk+PpCbF0Qf8r2IiMiRwTDNtl3PYxhGd9M0d9SRPhWYChAc6XL0G2kD2rRfIiL10SPFRORIYhhGgmmadT57tT2OO6mqK9E0zddN04w3TTPeJ1gDiSIiIiLN1R6BXWQ7tCkiIiLS6bVHYBfaDm2KiIiIdHptGtgZtgO+VrdlmyIiIiL/Fm26mM207dTY3pZtioiIiPxb6FmxIiIiIp2EAjsRERGRTkKBnYiIiEgnocBOREREpJM4Ik8C9iNOJ72LiIiINJNG7EREREQ6CQV2IiIiIp2EAjsRERGRTkKBnYiIiEgnocBOREREpJM4InfFlrCJP4hv727IEebhCaksfjuPMZMCuWdetN21l+/cxftP7eHEUb48sygGgHkzM3hzVmategK6OPFN1lEATBuWTI/+7tz+cmTN9f++kcPTN6Rz20vduODa4FrlM1PLubD7et76qw9x8Z5212aMTsEvyIn7F0TXKtdRLf98L1/OzSV5tYWC3CpeWdabIcO8a64X5lcx78EMVn6/j6y0CvyCnDhptC/XPhKOb+AR+SfmiHW8TgMQkUOkv7rSoXTp5swPH+/l1he64e7pCEBVlcmSd/PoGulSK39krCtzlsfapTk41l//27MzeWtWJjPf787Ii/1bte8dVWmJlQEnenLmVQE8dHVqreu5GZXk7K5k+pMRRPd1I2d3JU9P28kDl2/nhf/1bvsOi4j8i2kqVjqUngM9iOjlyg+f7K1J++2bQlzcHBg8zKtWficng8CuznYv/2DnWvlM0+TFGem881gWTy2KabWgbtqwZJ6evtMu7eEJqcwYnVLzPvHnIiYfv5kRXomc5pvIpOM2sW19KQDFhdXMGreDc0LWMNRtNWN7rOOj5/fUlC0urObxqWmcE7KGkd6JXD80mU2rSgAoLalmpE8iPy7ca9f+yu/3cbJzAvl7Kpt0D2ePC2TSg2GccLZvndd79nfn8c97csq5fnSLcWPIUG+mPxXBX0uLKNlX3aQ2RESkdWjETjqcMZOCWPRWHqMnBgGw6K1cRk0MJGN7RYvqq64yeWRiGr8uKuClH3vT9xjPxgu1kqoqk7vO28boSUHMfL87VZUmyastOO4fVZx73262rSvlqUUxBIQ4kZlawd6cKsAWjM4YtRUvX0eeWhSDT4Aji9/OY/qILXyc3J+gUGdOvzyARW/lMuKiA4HqordyOWm0HwFdnJk2LBmg1qjmoSrZV42zq4Grhz47ioi0JQV20uGccUUAL92+i/StZXh4O/LHkn3c9lIkbzyQUStv6qYyRngl2qWdPMaXhz7sUfP+m/l5WKtNFqyOI2agR5P7cf2pyTg4GHZpFWVWzrwqsMl1lOyrpqigmpPH+BLR0xWA6D5uNdez0iroPdiDfsfags3QaNeaawnLitiaVMrinKNwc7cFUNc+HM6vXxey5N08rrqzK+dNCWLK8ZvJ3l1BSLgL+/ZW8dOXBTz6qe3+u9QxfX2oigqqeP3+DM6bEoSTk9F4ARERaTUK7KTD8fF3YugFfnz9Vh7efo4MGeZd5/o6gPCerjyzOMYuzcPLfpHdwJO82LaulNfuzeCxhT1wcW3aKNOsD3rQo7+bXdoTU3fWk7tuvgFOjJoQyK1nbiV+pDfxI30YcbE/XbrZ7ufC64O556LtJK+2cMzpPpw8xpchQ20bFzYnWCizWDkneI1dnRVlVnZtKwcgLt6THgPcWfx2HhPuCeV/H+Tj4+9UM6364Dvdm9XfxpSWVHPHmG0Ehztzw5MRrVq3iIg0ToGddEijrwni4fGpeHg5MOWhsHrzObsYdItxq/c6QHRfN259sRs3jtzC3Rds4/EvejYpuAuJcK5V9z+nHh0cDEzTvlxVpX3CffOjufSWEP5Yso8VXxXw2r27eeLLnhx/pi8nnO3LF2kD+P3bQlb9UMTto1IYcbE/982PxrTadvi+uqL2NKqnz4Hg9dzJQXz8fDYT7gll0Vt5nDMhEEfH1h9JsxRXM+Mc29rBpxfF4OqmaVgRkbamv7zSIR0z0htnF4OC3CpOPd/vkOvr2d+dOct7syXRwp3nbqO8zNoKvQS/YCfyMu03KaSssdTK1+soD8bd1ZU5y2MZMsybxW/nHagjyImzxwVy/4Jo7nkzisVv51FRbiV2iAf5e6pwcLAFrwe/AkIObBA566pAcnZX8OnL2SSvtjB6YtOnipuqpKiaW8/aSnW1yTOLY2qNioqISNvQiJ10SIZh8O7avmDS4OhaVZVJXlbt3Z+BXWvvjI2Oc2fOT7HcMHwLt49O4amvY2rWrrXU0SO8ef6WdFZ8VUBkrBtfzs1hT3oFXfevlcvYUc6Xc3M4+Vw/gsOdydheQcraUi683nZ+3usPZBA7xIMe/dyorjJZ/nkBYT1ccXF14JjTvBl4khd3npfC9CcjiOrjRl5WJX8s2ccxp3kz6BTblK2XryMjLvbnpRm7GHSqF916HRhlnHX1DqDhKdnC/Cr27KyguMC2w3VXSjlefo41u4xLiqq55YytlOyr5okve1JWYqWsxBYY+wQ44uyiz48iIm1FgZ10WJ7ejY8K7UwuZ3To2lrpKyqH1LmwP7K3G3N+6s2NI7Zw+6gUnl4Ug9sh7Owcc00QKWtLefSaVAAunBbC0Av8Kci17Wx183Bg55Zy7r14O4W5VQR0ceLMKwMYd1dXAFxcDebeu5uMHeW4uDnQ/3hPnv66J2ALbp9ZHMPr92Uwe0oae7Nt5Qee5MXZV9uPyo2ZFMS37+QzZlKQXfqenY3vJP7lqwIemZhW8372FNvXkx4MZfLMMJITLKz/w3bEyiW9N9iV/edhxiIicngZ5j8XAB3uBg3D3TTN0jrSpwJTAbpGuhz9RdqANu2XSGe29ON8nrh2J19nDDykQFUOLz15QkSawjCMBNM063xEV3v8hT+qrkTTNF83TTPeNM14v2ANJIq0hjKLlR0bS3n7sSzOnRKkoE5EpJNrj7/y+9qhTZF/pfeezGLcURvxCXDkmvtD27s7IiJymLXH0FhQ41lEpDVMnhnG5Jn1HwcjIiKdS3uM2G1vhzZFREREOr32COyi26FNERERkU6vPQK7ru3QpoiIiEin1+aBnWmaC9u6TREREZF/A519ICIiItJJKLATERER6SSaHdgZhhFjGMZZ/0g7zjCMrw3D+HX/EyREREREpI215By7J4AAYAmAYRhBwLeAF1AKvGoYRrZpml+2tFOexOnROiIiIiLN1JKp2Hhg6UHvLwd8gCFAMPAncPOhd01EREREmqMlgV0wkHHQ+7OAX03TXG+aZgXwEdC3NTonIiIiIk3XksCuBPADMAzDETgZ+Pmg66XYRvBEREREpA21JLDbAIwzDCMQmIJtbd33B12PAnJaoW8iR4xhw4Yxffr0ZuVpShkREZHW1JLNE08B/wWy979PBFYcdP0MYPWhdKqCTaQSfyhVSCczaUwK5aVW3lvau9a1lE2lnN53I+/8rxennF57sPj5mRl8u3Av363vV5OWtLKEa87ZyojRfjw+LwonJ6PB9stIZh8bSeWPJud5/vMqnJx/bdbP8pYNpTz3YAYbVltI31HBzQ+GcsvMMLs8c2Zn8t3nBWxPLsPF1YFBx3ty5+xwYvu7N7kdOTJFa9OYiByiZo/Ymab5DTACeB6YBZxhmqYJsH8UbxewoBX7KMKlk4P47ccidqWW17r28Zt5hEe5cNJI7ybV9cvSfVw1cgsXjg/kqfmNB3Ut5RfghJe3Y7PKlFqsRES7MuORcLp1d6kzzx/Li7lqWjALf+vD+z/2xsnJ4KrTtlCQX9Ua3RYRkQ6sWYGdYRiuhmGcCmSapjnDNM2HTNPM//u6aZp5pmleeChHnYjUZcQoX4K6OPHp/Dy79MpKky/ezeOSawJxcGg8QPvm071MGp3CtHu6ct8z3TAMW5k/fy7i/OM2Eeu2mvgua3j41nQqKqx2ZU0rPHXPboYEJREfsoZHb9+F1WrW29Zlw5J5YPrOZt3nUcd4cu/TEZx3RQDuHnX/er7zXS8unhhEbH93+gxw59l3o8nPqWLVr8XNaktERDqf5o7YVQM/AGcfhr6I1MvJyWDs+EAWLsizC6Z++LqAvblVXDQxqNE6Ppibw61X7mDWy5FM+09oTXrW7gomnp1Cv8EefJMYxxNvRvHVh/k8+Z/dduX/+34ejk4GC3/rw8yXuzH/+T0s+nhvk+/h+ZkZdDcSmpy/qUqKrFit4OvfkpUVIiLSmTQrsDNNswrIAg7P3JVIAy6ZFETGzgp+WVpUk/bJm7mccoYPYd3qnrb8W+rWcu69bif3PRfBZZPtg8B35+QQEurMw3MiiYlzZ+RoP+56PJx3X86h1HJg1C6mrzu3PRRGj95ujL4kgOOHe/PrD/ua3H//ICd6xLo2OX9Tzbo5nb6D3Blygmer1y0iIh1LS3bFfgpcYhiGnjMrbap7LzeOPdWLT9/KBWBPRgU/f7ePSyc3PloXHOrMwGM8eOu5bHbvrLC7tm1TGYNP8LSbyo0/2YuKCpPUlLKatD4D7TcndAlzJi+76evaxk8P4YfN/ZucvykeuS2dVb8U8+pnPXF01OctEZF/u5YEZ/MAD+B7wzDGGIbRxzCMyH++WrmfIoBtE8X/viygIL+KhQvy8Atw4rRz/Rot5+nlwHtLexMY4sTlw5LZlXZgE4ZpglFPTGQcdMHJ2ah1zbT+s0TbefjWdL76MJ8PfuxNZI/WHwkUEZGOpyWB3XpgIDAc+BLbuXY76niJtLpzLvLH1c2BL97L59O38rjg6kCcnZs2UuXt48jb3/WiS7gLlw3dQvoOW3AX09eNxN9L7NburfqlGBcXg6ieR2bANOvmdP77gS2o69nHrb27IyIiR4iWrLZ+CKh/K6DIYeTm7sB5VwTwwswMCvdWc+mkwGaV9/J25O0lMVwzKoXLhibzwbJYxk0LZv7z2dw/bScTbw5h5/YKnrh7N+OmB9e7M7Ul3n45m3dezm5wOraiwkrKRtv0b3mZSU5WJRuTLHh4ORAdYwvg7r9hJ1++m8fcL3vi6+9ETlYlAB5eDnh6Ne94FRER6VyaHdiZpjnzMPRDpMkunRzEe6/mcPSJnsTENf9QXg9PR+Yv7sWUc/8O7noz/9sYZt+xi1GDNuHt58h5VwRwx2PhrdrvvblVbE+ufQ7fwbIzKhk1eFPN+7Rt5XwwN5fjhnrx0fJYAN6bY3uwy5Ujt9qVreswYxER+Xcx9p8t3HYNGkaYaZoZdaRPBaYChEW6HP1r2oA27ZeISHvTkydEpCkMw0gwTbPOxxq1aJ7JMAxvwzAeMAzjF8MwthqGccL+9KD96X0aKN61rkTTNF83TTPeNM34wGCdxyUiIiLSXM2OoAzDCAZ+AXoAKfv/dQcwTTPXMIzxgB9wWz1V6IGWIiIiIodBS4bGHsE26nYcsBPI/sf1/wIjGyhf0oI2RURERKQRLZmKHQ3MMU1zNXXvjt0OdKuvsGmaSS1oU0REREQa0ZLALgjbFGx9rIAO1hIRERFpYy0J7LKAng1cH4xtilZERERE2lBLArvFwCTDMEL/ecEwjOOAq7GtsxMRERGRNtSSwG4WUAUkArOxrbMbbxjGh8DPQAbwRKv1UERERESapNmBnWmaWcDxwJ/ANYABjAMuAf4HnGKaZn5rdlJEREREGteik4BN00wHzjMMwweIxRbcpSigExEREWk/LTmg2N00zVIA0zT3AX+1dqdciNOjdURERESaqSVr7DINw3jVMIw6n1EmIiIiIu2jJYHdb8Bk4E/DMJIMw5huGIZfK/dLRERERJqpJZsnzgGigAcAT+BFIMMwjPcNwxjeyv0TERERkSZqyYgdpmlmmKb5qGmavbA9F/Zz4HxgqWEY2wzDuMcwjLDW7KiIiIiINMwwzboe99qCigzDF3gJuArb2XbVwDfAbNM0VzanriHxnuavq+JapV8i7eXdBbncNj2dnOLB7d0V6SDctWlMRJrAMIwE0zTr3OvQohG7f1QeZBjGrcCv2IK6EmA+8AYwAvjNMIwph9qOyN+SEi14OSYw4qTNdV73MBLwMBL47Zdiu/TqapMeYWvxMBL4YuHeeut/d0FuTR0eRgLRXdYwdkwKGzeUtup9HImeeDSTESdtJsgzEQ8jodb1tWssjL98O726rSXAfTVHxa7nuaeysFpb5wOiiIgcmhYFdobNWYZhfArsAp4ByoFpQJhpmpNN07wBiASWA/e3Un9FmP9GLlOnBbNxfSmbN9UdbEV0c2bBm7l2ad99W4hTEw/48fBwYHvmQLZlDOSzb2KwlFi5cFQKFRXWQ+3+Ea283OS8C/254ZaQOq8nJlgICnbizXe7k7ChH/fNCmP2Q5k8/XhWG/dURETq0uzAzjCMh4A0bNOsZwJvA8eYpnm0aZqvmaZZ9Hde0zQL918Pb6X+yr9caamVTz7IZ+KUIM6/yJ+338yrM99VE4L44tO9FBdX16S9/WYe4yYGNakdw4CuXZ0JDXXm6HhPpt8aws60CrYkl9fkefHZPRw7cCNBnon0DF/L9ZNTKSioqlXXsh/2Ed9/A0GeiZw1PJnUHQfq2L6tnIvPSyG66xqCPBM5YchGFi8qsCvfJ3odjz+SyfRr0+jik0hMxFqee8o+kCosrOaGqWlEhawhxDuRM4Ymk7CqpEn3erAHHgrj5hldGDTYo87r468J4pkXIzl1mDfde7hy8WUBTLk+mC8/K6gzv4iItK2WjNjdB+wBrgNCTdO81jTN2nM2B6wGHmpJ50T+6YuFe4mMcmHAQA+uGBfIB+/kUVlZexpwwEB3YuPcWPixbco1O7uS7xYXcvXEwGa3WVBQxScf2B6q4uxs1KQ7OMCTz0eQsKEvCz7oTsJKCzNuTLcrW15u5enZWbz6VjTLfo+loKCam67bWXO9uLiaM872ZdH3vflzTRznj/Xn8gu3k7y5zK6el5/bQ78B7vy2Oo4Zd3Xl3jt38+fvtqlm0zS5cNRWMnZXsHBRDL8nxnHSqV6cM2ILmZmVNXV4GAk8MjOj2fffmH37qvH3d2z1ekVEpPlaEtgNMU3zGNM03zBNs9EhAdM0N5imOasF7YjUsmBeLpePCwDglKFeuHs48M1XdY8WXX1NEO+8ZZuO/eCdPE46xYuoaNcmtVNSYiXYK5Egz0TC/Nfw6Ud7GXWuL7F93GryTL+lC8NG+BAV7copQ7155MlwPvtkr916s6oqeO6VSI451pMBAz245fYu/LSsqCbPwKM8mHJdMP0HuNMzxo277g1l0BCPWmsAR57hw/XTQ+gZ48b1N4bQM8aVZT/YBsd/WlbE2qRSPljYk2OO9aRnjBsPPhxOdA9XPnz3wIhm71hXAoNa9BTBeiWutvDegjymXB/cqvWKiEjLNPuvvGmaSYejIyKN2ZZSxu+/FrPgw+4AGIbBpVcGMH9eLueP9a+V/9IrAvjPjHS2JJfxzlt53H1/aJPb8vBw4I+kOKqq4Jefi3jh6T28NDfKLs/yH/fx9OwsNm8qY19hNdXVJhUVJllZlYSFuQDg6mrQO/ZAMBga5kJlpUlBQTUBAU6UlFTz2KxMvl1USFZmJZWVJmVlVvoPdLdr65/vQ8Ocycm2jcYlJliwWKxEBq+xy1NWZmX7tgPTvkmb+zf5/ptiS3IZF47ayvRbQur8/ouISNtr8cf3/Y8UOw7wp/bIn2ma5sOH0jGRf1owL5fqaoiNXFeT9vdpPbvSK4jo5mKX39fXkfMu9Oem69LIyqzk3Aua/oAUw4CeMbaALLaPG1mZlUy4fDtLlsUCsDOtnAtHpTBxShD3PxRGQKATSastjL98B5UVB0bsnJyMWvUCWPfvwfjP7bv4fsk+Zj8dQc9ernh4ODD56lS7OsB+Cvjvev6uw2qFkC5OLF0RW+s+vH0OzxRp8uYyzhqezMWXBfDw4xGHpQ0REWm+Zgd2hmG4YzuQ+AzAwHZm3d//65gHpSmwk1ZTVWXy3tt5PDQ7nLNH+9pdmzRuB+/Mz+WeB2qfiT1+UhBnj9jCtTcE4+bW8tN9bry1Cy89u4cvP9/L+Rf6s3qVhYoKkyef64ajo+3H/9tFhc2u9/dfirni6sCaEa+yMis7tpXTq7dbIyUPGDTEg+w9VTg4GHTv0bSp5kOxaWMpZ4/YwthL/HnyuW6HvT0REWm6lvxP9wC2oO5RYDi2QG48cDawAvgL6NtaHRQB+PabQvJyq5g4JYh+/d3tXhdfFsA7b+XVeZba0OHe7Mw5isefObRRJR8fRyZMDuLRBzOwWk169nLFaoWXn88mdUc5n3yYz8vP72l2vTG93fj6iwISV1tYv66Ua67aQVlZ845UGXGaNyec5MUl56Xw3beFpO4o58/fi3n4wQx+XVGzSZ1Bfdbz6svZDdaVvrOCNUkW0lJtU7hrkiysSbLU7C7euKGUs4dv4dRh3txxTyhZWZU1LxERaX8tCewuAj41TfMBYP3+tN2maX4HnAa4ABNap3siNm+/mcvQ4d4EBtYeZL7wYn92plXw49KiOkpCUJATrq6HfBY3N9zcheTNZXz60V4GDPTg6Re68eKzexjSdwML5uUy++nmB49PPBtBcIgTp5+SzPlnb+XY4z058RTvZtVhGAZfLI5h6AgfbpiSxlGxG7jqku1sTS4jNOzA9PSW5HLycmsfx3Kwhx/I4ITBm7jnjt0AnDB4EycM3sTqVRYAPv90L9nZVSz8eC89QtfavUREpP01+5FihmGUAbeapvmqYRh+QD5wjmmaS/ZfvxO43jTN7vWUP8U0zRV1pE8FpgJ0i3Q5OjltQPPuRESkg9MjxUSkKVr7kWJFHFibVwRYgYMXNxUCXZtbqWmar5umGW+aZnxQcOseySAiIiLyb9CSwG4b0BvANM1qYAO26VkMwzCAC4H0ektDWQPXRERERKSFWhLYLQXGGobx9zkKc4GzDMPYBmzFts7uzQbKN327n4iIiIg0WUvmPB8H3mX/ESemac4xDMMNuAqoBt4AnmygvKUFbYqIiIhII1ry5IliIPkfac8CzzZWdv9U7d7G8omIiIhI87XpLgXTtgV3e1u2KSIiIvJv0WhgZxjGqS2p2DTNn1tSTkRERERapikjdsuxPSKsqf5+pNjheUiliIiIiNSpKYHdxMPeCxERERE5ZI0GdqZpvv3314ZhBAM9gFzTNLcdrk45EKcT2EVERESaqUnn2BmG4WAYxmtAJvAbsMUwjF/2B3oiIiIicgRo6gHF07E9xzUL+BxYB5yI7XBiERERETkCNPW4k6uBTcDxpmkWARiG8QYwwTAMP9M0Cw5XB0VERESkaZo6YhcLLPg7qNvvJWw7X3u3eq9EREREpNmaOmLnCWT8Iy3joGutq3oTFMS3erUi7Wnm4xks/O9e1v/er948E6alkptXxaKPYw4pj0ij/LRBTaQzas6TJ/55lt3f741W6otIo/ZkV/L481ks+q6Q9N0V+Hg7EtPdlcsvCmDiFYF4edV/fGJlpcmLc7P5YGE+ySllODhAdDdXzjndhxsmh9AtwqUN76TlXpjdDbNZR0vW7/UFOXz4WT6Ja0sp3FfNjjX9iY50rblutZqcf+U2ktZZyM6twt/PkZGn+vDEzHDCwzrG90tE5N+kOYHdOYZhdD3ovQe24O5iwzAG/SOvaZrmc4fcO5GDpO4s56SzkvHxduThe8IY2M8dqxW2bCvjnY/yCPR34oqLA+osW1Fh5cyxW0laV8qDd4Vy8vFe+Pk6sm1HOd/8r5BnXtnD87O7tfEdtYyvb8Nnf1dUWHFxadoqC0uplTOG+3DeOX7ces+uOvOMONWbe27rSmgXZ3ZnVnL7/bu4YNw2Vv4Q1+y+i4jI4dWcwO6K/a9/uraONBNmMbXHAAAgAElEQVRQYCet6vrbduJgwKof++DpeSC46d/XnQvH+GN7FHHdnpuTzc+/FbNqWRyDB3rUpMf0cOPMkb52ZZcsLeTRZ7JYv6kUw4Bjhnjy/GMRxMW6A7YAs/tR6/lwXndefSuHlatL6NPLjbfnROPgYDD1ljTWbChl8AB33p3bne5RrnZ9mfdOLg89mUFOXhVnjvBh3ovRBAXa/yq+8NoennxxDxaLlfNH+fHKU5F4eNiCtX9OxQ4bnUxcbzc8PR15+8M8oiNd+OvHpgVdt1zfBYBViSV1XndwMGryAERFunL3LV0578ptlJVZcXNr6jJdERFpC00N7IYf1l6INCJ/bxXf/biPx+4PtwvqDmYY9a8K+GBhPqcP97EL6uorW2Kxcsv1IQzs505pqZVHnslizOXb2PhHX7uRsAcfz+C5R7vRI9qV62ekccWUHQQHOfHo/eGEBDkxfloqN92VztcfHVgLl5pewXuf5PHfD2KwWKxMvTWNa6an8tWHB/Ks+L2I0K7OLP2iF+m7K7lk4nZ693TlP7eF1nt/732az9TxQaxYHFsTpEYPXMewk71ZMCe63nLNlb+3ivcX5nNcvKeCOhGRI1CTAjvTNH863B0RacjWbeWYJsT2sh/9iui3loLCagCuujiA156LqrP8lm1lDDvZ2y7t8knb+fq7QgCiurmwYf+mhrHn+tvlm/9yFD6RSaxMsHDyCV416bdN68I5Z/gCMOOGLoy5fBufvdOD4afY2pk+JZjpd6bb1VVaauWdV7sT2c22Pm3us1Gcck4yW7eV0aunGwA+3o68+kwkTk4GcbHuXHy+Pz/8XNRgYNc90pVnHrGfSu7Z3ZXQLs71lmmOux7cxcvzcrBYrBx/jCeLPtLGDRGRI5E+ckuHtmJxLEk/x3HsEE/Kypu3oeC5x7qR9HMcN04JoaTEWpO+bUc5V0zeTs/B6/CJTKRL7FqsVti5q8Ku/MB+7jVfdwmxBVAD+h6UFuxMSYkVi+VA3eGhzjVBHcBx8Z44OMCm5LKatL593HFyOjCCGNbVmeycqgbv5ehBtUcif/hvb2Y/GN5guaa646auJP4Ux/8+74WjA1x17Y4Gp75FRKR9NGeNnUi7ienhimHA5i1ldul/r1/zcG/4M0rvnm5s3mpftmsXZ8CZwAD7qd0xl6cQHurM3OeiCA91xsnJoO/xG6iotNrlc3Y+EHz9PZNbV5rV2rwAyNnJfkrZMBqvw9Pj8H5GCwp0IijQid4xbsT1dqNb/3X88nsxp5zo3XhhERFpMxqxkw4hMMCJM0b48PK8HIqLq5td/vKxAXy/bF+9mwT+lpdfxabkMu65LZTThvkQF+tOUbGVqoYHzJpsd2Yl6QeN/K1MKMFqhbhYt9ZpoA1Y98e35RUasRMROdIosJMOY87TkVitJkcP38SHC/PZuLmULSllfLgwnzXrLTg2cArIrdNCOPl4L047fyvPzdnDqsQSdqSV8/2yffx3cWFNWX8/R4ICnXjj7RxStpfx069FXHdbGk6tNLbt7u7A+GmpJK2z8PvKYq67LY1RZ/jWrK9rTSPP28J/Zu1uME/WnkqS1lnYklIOwMbNZSSts5C/1xbJ/r6ymFfeyGbNOgtpO8v58ed9XD55O9GRLpx8vFdDVYuISDvQVKx0GD2iXUn8qS+zn8vi/scySN9dgbOzQVxvN6ZNCmb6lJB6y7q6OrD0y1688Fo273yUx72P7Ka6GqIjXThzhA9vvxoN2I73+Pit7tx0Vzr9T9xITHdXnnkkgrHjt7fKPUR3c+GyC/0Zc1kKuflVnDHch3kv1r3h41Bt21FOt/CGDxF+bX4Os57IrHk/6tIUAOa/EsWEK4Jwd3dg4Vd7eWB2BsUlVsK6OnPWSB8+fquHdsWKiByBjLZeAG0YRjfTNNPrSJ8KTAWIjHA5Om3dgDbtl4jIv4oeKSbSYRmGkWCaZp3PXm2Pj9zRdSWapvm6aZrxpmnGBwdpIFFERESkudojsCtthzZFREREOr32COw6zvY/ERERkQ5Eq59FREREOon2COzqf6CniIiIiLRYmwd2pmmuaOs2RURERP4NNBUrIiIi0kkosBMRERHpJBTYiYiIiHQSR+ZJwI5xOhVdREREpJk0YiciIiLSSSiwExEREekkFNiJiIiIdBIK7EREREQ6iSNz80TZJkiOb+9eiDSb0SeBT5/vwUVn+bd3V0SODLHaCCfSljRiJx1GTn4l02btJHrEOlwHrKbLSWsYOWEL3/+6rybPsHHJTH9op125Nz7JwWXAauZ+lFNnvam7yjH6JNS8fOMTOf7SzXz9Y0Gz+5i5YiBjRvg2u9yhKiu3MuHuVAaeuxHn/gkMG5fcYP5fEopx6pdA/zEb2qiHIiLSFo7METuROoy9aTuWUitvPhpFTKQr2flV/LSyiLyCqnrLzJ6byaxXMnn/qe5c3Mgo2pI3YjiqjwcFRdXM+SCbsTdvZ/VncfTv7d7kPnYNdm5y3tZUXW3i5mow/cpgFv9cSMG+6nrz7i2s4uq7djDyeB92Z1e0YS9FRORw04iddAgF+6pYsaqYx2eEM/IEH6LCXTlmgCe3T+rKZaMCauU3TZMZj6fz2NwsFr0W02hQBxDo50TXYGf69HDj0VvCqaw0WfZnUc31JSsKOeXKZPyPTSLguCTOnLSVTdtK7eow+iSwcMle4MBI4Gff7eX0a7bgMWg1fUdtsBthrK42mXRvKt1HrsP9qNX0OnM9T87Lwmo1m/X98fRw5LVZUUy9NJiILi4N5p10Xxrjzw/khEGezWpDRESOfArspEPw8nDEy8OBr34soKzc2mDeqmqTif9J4+0v8/jx7d6cdqJPs9qqrDR549NcAJydjZr0EouVW64OYeUnfVj+Tm98vR0Zc/02Kioa7s+9z+/mpqtCWPNlX47p78Flt22nuMQ2oma1QngXFz55vgebvunHo7eE8djcLOZ/nldTfvmfRRh9Elh+UJDZUnM+yCYrp5L7rg895LpEROTIo6lY6RCcnAwWzI5mygNpvP5JLoPjPDhpiBcXn+XPcUfZjzzN/zyPaqvJ6s/jGBjr0eQ2Th2XjIODQWmZFasVuke4cMlBI31jz7Qf9Zv/WBQ+8UmsXGfh5KO96q331vFdGDPCD4DHbgvnnf/mk7S5lJOP9sLZ2eChm8Jq8kZHuLJ6o4UPv8ln0kVBAHi4OxDb3RUP90P7HLYuuZRZr2Tyx8d9cHQ0Gi8gIiIdjgI76TDGnunPqGG+rFhVzO9JxSxZsY9n5u/h0VvCuOe6AyNQJw3xYt2WUu59LoOFL/bA1aVpAdEHT/egX4wbW1LLuXV2Oq8/FEWA34FfkW07y7n/hd38ubaEnPwqrKZtxG1nRgUcXX+9A2MPrNELC7GtwcvOq6xJe+2jHOZ9mktaRgWl5VYqK02iwg5Mpx470JPN3/Zv0j3Up7zCymUztvP0nRF0j3A9pLpEROTIpalY6VDcXB04/SQfHrghjN8+6sOkiwKZ+Uqm3XRo355uLHu7NyvXlXDB9G2UNzJV+reILs70inZj1DBf3ng4iktu3U7u3gMbM8Zcn0LO3irmzoriz0/6kPh5HE5OUFHZcP3OTgdGxwzD9rV1f5GPF+dzy2PpTLggkO/m9SLpizimXRFMRWXz1tg1JjO7ko0pZUy8JxWnfgk49UvgoTmZbNhahlO/BP73y77GKxERkSOeRuykQ+vb052qKpOyChOXg/YM9O/tzvJ3ejNiwhbOvX4b/53TEzfXpn+OGXqsN317uvHQKxm8eF8keXur2LStjFfuj2T48d4ArN5goar+DblN8ktCMccN9GT6VSE1adt2lh9apXUI7+LCuq/62qXN+TCH73/bxxcv9SQ6vOENFyIi0jFoxE46hLy9VYwYv4X3vspjbbKFHbvK+XTJXp58M4uRJ3jj4+VYq0xcT3d+eieW9VtLGX1dCqVlTRu5+9uMiV14/ZNc0jMr8Pd1JMjfiTc+zSElrYyfVhZx3cw0nA7xo1HvaDdWb7Tw7c+FbE0t4+E5mfz0l/0miZVrS+hz9npWri1psK6NKaUkbbKQW1BFscVK0iYLSZssgG0TSP/e7navkAAnXF1s6V6etb9/IiLS8WjETjoEL08Hjj/KkxfeySZlZznlFVbCu7hwxaiABnd49u7uxk/v2kbuRl2bwqLXYpq8CWH0cF+iw114eE4mrz8cxcfPdeemR9PpP2YjMVGuPHNnBGNv3n5I93XtpUEkbbZwxe07ME0Ye4YfMyZ24a3PDuyKtZRaSd5RjqW04cD0nKkppGUcOJdu8AWbADA3N7AAUEREOhXDNFt3LU+jDRrGINM0k+pInwpMBYgMczk67ccBbdovERE5DPRIMZFWZxhGgmmadT57tT2mYus8FdU0zddN04w3TTM+2F8DiSIiIiLN1R6Bndb1iYiIiBwG7RFklbVDmyIiIiKdXnsEdod4QISIiIiI1KXNAzvTNBPbuk0RERGRfwOtdxMRERHpJBTYiYiIiHQSCuxEREREOgkFdiIiIiKdxJF5ErBbnE4rFxEREWkmjdiJiIiIdBIK7EREREQ6CQV2IiIiIp2EAjsRERGRTkKBnYiIiEgncWTuii3aBD/Ft3cv5AiTU1DJg/MzWfxHIZn5lfh5OdK/uzt3X9GV0+N9ABh2czI/rSkGwNnJoFuIM5cMC2DmhFBcXer+HLPkz0LOviuF9E8GEBHiUpPe84p15BVWk/fVUTg6GgBYyqz4jU7itdsiueacoEb7bAxL4NOZPbhomP+h3n6ry8yrZMacdFZvsbB1dznjTg9kwX+i7fIs+DaXiU+k1Spb+t1g3Fz1uVCOMEN1moLIkRnYidRh7APbsZRZefPOKGLCXckuqOKnpCLyCqvs8k08O5DHJodTUWXy1+YSJj6RCsDsqeF11nvKQC+cnQyWJxVx1RmBAKRnV7ArpxJ/L0cSt1qI7+MJwK/ri6msMhk+2Pvw3WgbKa+wEuTrxN1XdOX1Rbn15vNwc2Db+/3t0hTUiYgcmRTYSYdQUFTFirXFfP90L0YebRudi+rqyjH7A66Debg60DXQGYDILi588EM+/1u1r97AztPdkWP6eLDsoMBuWWIRx/bxJLKLC8uSimoCu2WJRUR1caF7qCt/bS7h3nm7Wb3FQkWVycAe7jx1fQQn9PMCIPrSdQBcPHO7rb9dXEj9eADp2RVMf2EnK9YWU1ZhJTLEhZkTwrhsZAAA67aXcuvL6fy6vhh3VwfOPdGPF27shq+XIwATZqeSW1jF6fHePPnRHixlVs4/2Y9XbonEw63pAVd0qCsv3hQJwMKfCurNZ0DN91NERI5s+tgtHYKXuyNe7g589VsBZeXWJpdbk2Lh13XFOO+fSq3P8EHeLEssqnm/LLGIYYO8GDbIq1b6iCG20boiSzXjzghkxUuxrHw1jkExHpxzVwq5BbYRxL/m9gHgjdujyPxsYM37ac/txFJmZdlzvdmwoB/PT++G3/6gzVJm5aw7t+Ll7sDK1+L44uGe/LahmGueTLXr74p1RazfUcbSZ3rx8YM9+GJFAS98tqfm+oJvczGGJZCaWd7k71V9SiusRF26joiL1jL67hQSt1oOuU4RETk8FNhJh+DkZLDg7mje+z4fv9FJnDBtM7fP2cWfG0tq5X19US5eZyXievpqBk3eRE5hFXdc1qXB+ocP9mZHZgVpWbZAyBbYeTP0KG9WrC2mqsqk2FLNquQSRuyfhh0xxIdxZwQSF+VOnyg3Xrq5G24uBktWFgIQ7Gcb5fLzcqRroHPN+7Q9FZw8wIujYjzoHurKWcf5ctZxvgC8vzSP4tJq3r23OwN6uDN0kDevz4ji858LSNlVVtNfHw9HXr01krgod844xoeLh/nzQ8KBANTXy5HYbq44OzUc0DYmNtKNt+6M5r+P9OTDB7rj5mJw0vTNbD2oLyIicuTQVKx0GGOH+jPqeF9WrCvm9w3FLFm5j2c+2cOjk8O456rQmnyXDvfnwfGh7LNYeeLDLPy9HBk7tOHNCyf298LV2WBZYhFDB0FmfiUn9vfC3dUBbw9HViWXsLe4mqpqatbXZe+t5P63MliWWMSevZVUV9tGt3ZmVzTY1s1jQ7ju2TSWrNzHyCHeXHCKH0fH2qZ6N6WVMbCHB94ejgf1zRMHB9iYVkZMhBsAfaPdcTooaAsLcubPTQeC3AtO8eeCUw59w8YJ/bxqppYBTuznxaDJG3np8+yaaVwRETlyaMROOhQ3VwdOj/fhgfFh/PZKHyadE8jMBZlUVB6YnvX1dCQmwo0hvT14797u/JhYxIJv698cAODu6sDxfT1ZnlTM8iTb+jr3/RsEhh7lVZPeu5sr4cG2nbPjZ6fy1+YSnruhG7+93IekeXFEBLtQUWk22NakUUHs+HAAE88OZMuuck6cnszM+RkAmCYY9QyyHZz+z6llA7BaG263NTg6GsTHerJ116FP8YqISOtTYCcdWt9od6qqTcoq6g5qnJ0M7rmyK/95YzeWsobX5g0f7M2ypKKa9XV/GzboQPqIg3bD/rKumBsvDGHUCb706+6Ot4cjmXmVtdqvriPgighxYeqYYD6Z2YOHJobV7ErtG+3Gmm0WiizVNXl/W1+C1QpxkW6Nf0MOM9M0Wbu9lFBtphAROSIpsJMOIa+wihG3buG9/+WxdpuFHZnlfLp8L09+mMXIId74eDrWW/aK0wIwDIOXv8husI3hg73ZuaeCL38pYNigAwGcbZ1dEau3WOyOOendzY33vs9nY2opf20u4bKHtuPyjzVt0V1d+GF1EVl5lewtsm2quPmldJb8Wcj2jHKStlpYsrKQvlG2oO3K0wLxdHPk6sdSWbe9lJ/XFHHts2lceKpfzTRsU3yxYi99xq1nd07D08JJWy0kbbWwz1JNflEVSVstbEwtrbk+a0EG36080NdJT6axdpuF684NbnJfRESk7WiNnXQIXu62qdIXPssmZXc55ZVWwoNcuOK0AO4bF9pgWRdnB6ZfEMyTH2Zx/XnBduvXDnZ8X0/cXQ3KK01O7H9gxK5PlBu+no7s2VtlF9i9dWcUU59J4+ipmwgLcmbmhDByCrLs6nxmWgS3vbKLbt+uJTzIdtyJ1Wpy44vppGdX4O3hyMgh3jwzLQKwnRn33VO9uOXldI69bhNuLg6cd5LtuJPmKCyuJjm9nMqqhqdnB0/ZZPf+698Ka45lASgormbqMzvJyq/E19ORwb08+PnFWI6Nq33MjIiItD/DNA//uhy7Bg2jn2maG+pInwpMBYjs4nJ02v7/WERERJpET56QfwnDMBJM06zzEV3tMRUbWFeiaZqvm6YZb5pmfLCvBhJFREREmqtNAzvDMJyB0kYzioiIiEiztWlgZ5pmJdC8xUIiIiIi0iTtMRX7Vzu0KSIiItLptUdgF9QObYqIiIh0em0e2JmmmdjWbYqIiIj8G+iAYhEREZFOQoGdiIiISCehwE5ERESkk1BgJyIiItJJHJmPePCO06NhRERERJpJI3YiIiIinYQCOxEREZFOQoGdiIiISCehwE5ERESkkzgyN0/s3QSfxLd3L0QOyYQ5qeQWVbHorpj27oqItLZLtMFPjkwasZMO4aqXdjDozo1UVFnt0n9Ytw/nKxL4LbmY1OxyjEsTWLWtpOa6pdzKWY9tpfv0dWzNLKuz7pmfZmBcmoBxaQKOlyXQbdpaJr+WSs6+yib1ra52j0SvL81h+Kxk/CYmYVyaQGp2eZ35vksq5IT7NuMxbjV+E5MY+fCWNu6piIi0lAI76RBevqYbecVVzFqYWZO2z1LNNa+lcceYrpwY61WrzN7iKk57ZAu78yv49aFYeoW61Vt/bJgrmXMHsnPOAF6dFMnXqwu5+pXUw3Er7cZSbuWMgT7MvCi03jxf/lXAZS/uYNwpASQ+0ZffH47lmmGBbdhLERE5FEfmVKzIP/h5OjH/umjOfnwr58X7cWyMJ7e+k46/pyMzL64dqGTkV3DmY1vxdnfk55mx+Hs1/KPu5GDQ1c8ZgPAAF246q5QHPsmgtMLKTxuLePSLLNanl2IAx/T05PnxEcRFuAPQ/cb1ABxzz2YAhvb1YvmDsTV1v7B4D09+tQdLhZXz4/14ZVIkHq62z1RLkgobrDs1u5zuN65n4W09eO37HH5NLiY62JUXJnTj9IE+zfoe3jKqC0C9I4vVVpOb5u/kySvDmTIyuCb9776IiMiRTyN20mGcNtCH608P5upXdrDwj728/0s+707vjouT/Y9xSlY5Jz2QTESgC0vv691oUFcXdxcHrCZUVZuUlFu55ZwQVj7ah+UP9sbXw5ExT26rmRZe+WgfAJb8J4bMuQP5fEbPmnpWbCpifXoZS+/rxcc39+CLvwp4YfGemuuN1f23ez/azU1nh7Dmyb4c09ODy17YTnFZdc316OnrmDAntdn3ebCE7RbS8ypxdXJgyF0b6Tp1DWc8uoXEHZZDqldERNqOAjvpUJ64MgKAS5/fzsOXhDEgsvZo0vg5qYT6O/PVHTE1I2PNsXl3Ga9+n8OxMR54uzsy9jh/xh7nT69QNwZGeTD/+ih2ZJezMsUW8AT72ALHQG8nuvo5E3BQIOnj4cirkyOJi3DnjKN8uPh4f35YX1RzvbG6/3brOV0Yc7QfvULdeOzycPKLq0lKLa253rOLK6H7Rxxbavse25q7+z/J4J4LQvnm7hgiAlwYOiuZjPyKQ6pbRETahqZipUNxd3Hg9tFduWnBTmaM7lJnnvPi/fh85V4++i2fcac2bX3Ypt1leF2dSLXVpLzKZFhfb16fGgnAtqxy7v9kN3+mlJCzrwqrFawm7MxtPNjpG+6Ok6NR8z7M35k/Uw5MhTa17oFR7nZ1AGQXHtjc8cP9vZt0nw2xmrZ/772gKxcd7w/A61M9WLpuH++uyOeu87oechsiInJ4KbCTDsfJERwMAwcHo87rd57bhfgeHkyYk0q11WTCsKBG6+zZ1ZXFd8fg6GAQ5u+Mq/OBkb4xT6YQHuDM3MlRhAc44+Ro0HfGhlrTpXVxdrLvo2GA9e8Iqhl1Ox8UHBqG7euDqmkVf4/49T1oTZ2To0GvULcmBbEiItL+FNhJp3TneV1xdjKY9FoaVdUweWTDwZ2Lo0FM19q7ZvOKqti0u4xXrolkeH9vAFZvt1BVfVDZ/cFbdeNxXrPrbktH9/DA1dkgOaOMk/vYdhlbrSbb9pRzZjM3aoiISPtQYCed1q2juuDsaHDtG2lUW02uPT248UL/4O/pSJC3E2/8mEO3IGd251dyx3u7cHI8kCfE1xl3F4Pv1hQSHeyCm4sDvh6O9VfajLqbauTDWzi2pyezrwivN09WQSVZBZVsybStpdu4u4wCSzWRQS4EeDnh4+HIdacF8+CnGUQEOBMd4srLS7LZW1zFVacENL9TIiLS5to8sDMMw8U0zVrzOoZhTAWmAkQGubR1t6STmn5WCE6OBtPe3Em11WTamSHNKu/gYPDxLd25aX46/W/fSEwXV54ZF8HYZ7fX5HFyNHhxQiQPfZbBrIWZnBJnf9zJodTdVNv2lNMtsOHfm9e+z7E7B3DU4ykAzL8+qma6+qmrInBxMhg/JxVLhZUh3T1Y9kAsYQH6nRQR6QgM02zlhTqNNWgYJ5um+UtDeeJ7epqrZse1VZdERESaR48Uk3ZkGEaCaZp1Pnu1TY87MQzDEWjbSFJERETkX6Ktz7GztkObIiIiIv8KbRpkmbZ537qfPC4iIiIih6Q9Rs+KGs8iIiIiIs3V5oGdaZqb2rpNERERkX8DrXcTERER6SQU2ImIiIh0EgrsRERERDoJBXYiIiIincSR+axY/zid6i0iIiLSTBqxExEREekkFNiJiIiIdBIK7EREREQ6CQV2IiIiIp3Ekbl5InsTvBjf3r0QERFpXzdpI6E0z5EZ2InUYcL7qby9Mg8AJwfw93CiX1c3Lhrkz9QTg3F2NGqVuemznbyyIofXLolkyonBDdZ/2YLt5JVU8f0NvWvSVmwr4tQXtzD9lGBeuiiyJv2N33KYvjCdgscH4e7SMQe+N2SW8uC3GazeZWFHXgUPnhXKzLPD7PJEz1pHWn5FrbLn9PXhm2t7tVVXRUSkiRTYSYdyWm9v3h3XnWqrSU5xFT9uLeLBbzN49698frihF56ujjV5y6usvL8qn7tP68q8P3IbDexG9Pbmls/Tqaiy4uJkC9aWpxQT6e/Csq1FdnmXpxRzfLRni4I6q9XEBBwdageih6o5dVsqrEQHuHLhQH/uW7y7zjx/zehDtfXA+8x9lRz99CYuGRzQSj0WEZHW1DGHGuRfy9XJga4+zoT7uTAowoPbhndh+fRYVu+y8OQPe+zyfr6mgOgAV+49I5RNWWWszyhtsO7hMd6UVpr8mVZSk7ZsaxG3j+jC1pxysosqa9KXpxQxopc3AM8u28PAxzfieUci4Q+sZfKHqRRYqmryLvgzF687Elm8oZD+szfgMmM1m7LKiJ61jke+y+Taj9PwuTORiAfW8tQPWXZ9KiytZupHaYTcuwbvOxMZ+mIyq3aWNFp3UxwT5cnT50dwRXwAHs51/ykI9nKmq8+B1+KNhfi4OXLxIP8mtSEiIm1LgZ10eP3D3DkrzofP1uy1S5/3ey5XxQfg4eLAhUf5M++P3Abr6RXiRrivc83oXHmVld9Tizmnry/xkR4sT7GlJ+8pI6OwkuH7AzsHA56/MIINd/flg6u7szLNwo2fpdvVXVZl5ZH/ZTL30ig2/qcfUQEuADy3fA8DQt1ZfUccd53WlTu/2s3vO4oBME2TUXO3sruwgkVTY0i8I45Te3ox4uUtZBZWNlj3zG8zMG5OOITvam3/b+++w+Oozr6Pf2/13t1kW5Z7AUyxCS3Y9IQSCAEeSAgJPbx5SCANSCfUEAiBJyGhGocUWgKEOOCE4JhqINgYGyx3Sy7qsiSrtz3vH7OWV/JKltoCXOAAACAASURBVCxZq11+n+vaa7Vnzsw5ZyXN3nvKjHOOx97Z856KiMjwo7OzRIRZoxLYXNXS+XpzZQtvbK7ni3O8IcOvHJnFH9+voqXd19MhADhxampnYLdsSwM5yTFMzoln/uQ96f/ZUEdSXBRH5ycDcP0JozhpWhr52fHMn5LKL84ZyzMfVOPzuc7jdvjg1+eP57hJKUwbmUBqgjdkfNqMNK6dN5IpIxL4xryRTMmJ59X1e8pZuaOJv1w2mU9NSGbKiARuPXMsk3Li+cP7Vb0eOyc5hukj4wf6tnbxyro6tlS1cuXROYN6XBERGTyaYycRwQFme+aVLXi3kpOnpTI6LRaAE6akkhQbxQurarjwiJ7nh504NZWvP7uV5jYf/9lQxwlTvF65E6am8s2/bgXgPxvrOG5icuc8vCXrd3HnK6UUlDVT29xBh8/R2uEorWsjN93rmYuJgsPGJu1V3uzcxC6vc9NjKa/3euOWb2uksc3HiB9+2CVPc7uPTZV7gthgx7523kiunTey5zdsPzyyrIIj85I4bNze7RARkeFBgZ1EhDWlzUzK9oKoDp9j4btVFO9qI+Zbe4Yjfc4bnu0tsDtpaiot7Y53ChtYurGOrxyZDcBxE5PZXNVKcW0rr22s47r5XtBUtLOFMx/eyFXH5HDLGblkJ8ewYnsjX/z9Flrb9/TYxcdEBV3Q0H0lr5lXz931HZUawxvfnL7XfmkJexaJ9HTswVRe18bfVtfywPnjD2g5IiIyMArsJOx9VNzE4oJafnTaGAAWF+yiqrGd978zk7iAwGlrdStnPbKRwqoW8rODD1PmZ8eTnxXHS2tqebeogQVfygcgOT6aOeOT+O2bFZTVtXPS1DQA3t/aSGu741fnju8MrhZ9XDso7TpiXBJlde1EmTEpZ3CHVftr4XtVxMcYF/USFIuISOgpsJOw0tLuo3RXGz7nXe7k1fV13PFKCXPGJ/Pdk0YBXq/c6TPTOWJ81yHDg3MTmT4ygQXvVnHLGbnBDg94w7EPvlXBiBRvft1u8yen8H+vlZMaH8Uc/7GnjojH5+C+peV84dAM3ils4L6lZT0dul9OmZ7KcRNTOOfRjfzi7HHMGJVA6a42Fhfs4pTpqRw/ObXHfX/zejm/eaOctT88uMc8re0+1vhX0Da3O0p3tbFyeyMp8VFMGZHQmc85x6PLKrnoiKzOuYEiIjI8DfniCTPTWI7st3+vr2PMj1eRd/NqTn5gPS9+VMNPP5vL69+cRnJ8NGW72lj0cQ3nHxr8chwXHJbJ4+9WdlnY0N2JU1Opa/F1zq/b7QR/+rzJqcT4ewJnj03i/i+M596lZcy682MeXVbJPZ8fNyhtNTNe+toUTpqaxlVPFTH99o/5n4WbWVfe3Dl3ryeVDe2sK2/pNU9xbRuH313A4XcXsKmyhYferuTwuwu48qmiLvmWbqxnQ0ULVx2jRRMiIsOdOdfzB9wBKdDsGOfcsiDpVwNXA+Rlxs0puvmQIa2XiIjIsKNbikkQZrbcORf03quhuNxJ0OFf59zDzrm5zrm5I1I0QiwiIiLSX6EI7Hq/r5OIiIiI7JchDezMu9DYG0NZpoiIiMgnxZAGds6b0Hf0UJYpIiIi8kkx5EOxzrm/D3WZIiIiIp8EulesiIiISIRQYCciIiISIRTYiYiIiEQIBXYiIiIiEWJ4Xgl45ExdbVtERESkn9RjJyIiIhIhFNiJiIiIRAgFdiIiIiIRQoGdiIiISIQYnosndhTAD+eGuhYiQeU/sJpr54zgu0ePDnVVRCTS3a6FhNI/wzOwEwni0r8X8vvVVQBEG+SmxnLm5HTuOGEsmYld/5RXljVy17JSXttaT1VTO6OSYzh4RCJXHZbDOdMyiDILWkZFQxs/faOElzbVUlLfRkZ8NAePSOSmY0dz6sS0A97GUGpu93HNy1tZUdpIQVUTx41LYemXp3fJE/g7CJQUG0XD9w4fqqqKiEgPFNhJWDklP5U/nD2Rdp9jTWUzl/+jkJqWDp78/KTOPIs21HDec5s5OT+Vx8+awJTMBHY2tbO6oonb3yrlyDHJjEuLC3r8857bTGObj8fOmMCUrHjKG9p5bWsdVY3tB7RdPudwDqKjggecQ6HD50iIMa6dO4KXNtVS09yxV577Tx3Pz08c2yXtuCfWMi8vdaiqKSIivVBgJ2ElPiaK0SmxAIxLi+PCmZksDOhBamjt4LJFRZw5OZ3nzp/cmT45M54jc5O5/NAcnHNBj13T3M4b2+p55YtTOdnfOzch3duvu+Z2x9deKuLJNTtJi4/muiNH8r2Aodl73y1j4aoqNtW0kBEfzemT07jn5HFkJHj/cgtXVXLtP7fxzLmTuGHJdtZWNbPyilmc9exGLp+dzeaaVv66rpqM+GjuOXkcn5mUxjUvb2XRxlrGpMTywGfyOG2SV8cOn+Pql4tYUlhHaUMb41LjuOqwHL579KgeeyaDSY6L5sHTJwCwqryJmuamvfKkJ0STTnTn67e21bO5ppU/nJ3T53JEROTA0eIJCVubq1tYvHkXsQG9XP/asovKpnZuOGZUj/tZD8FOSlw0KXFRvLihhuZ2X69l/+q/ZRwyMpEVl8/kxqNHc8OSHSzbXt+5PcrgvlPH8fFVs/jzORN5r7iRb/xrW5djNLf7uO2tEh46fQJrrj6ICeleL+J9/y3nU7lJrLh8Jv8zM5Ov/r2QL/1tC2dMSWflFTOZl5fCl1/c0llHn4OxKXE8c+4kCq4+iNvn53LH26U8/uGegHdpUR12x3KWFtX12q7+emRlJQflJHDsuJRBPa6IiOwf9dhJWFm8qZaUuz+gwzma272et3tPGde5ff3OFgCmZyV0pq0ub+KY36/tfP3Q6XlcfHD2XseOiTIWnpXPVS8V8fAHlRw+OonjxqVwwYxMjhrbtdfutIlpXDt3JADfyErg/94v59XCOo7xBzjXf2pPYJmfEc8vThrLOX/ZxO8/l9/Zi9bh4NenjWfOmK7H/sykNL4+xzv2z+blcu975UzJjOcrh3h1/vFxY1jwYRUfVTQxd0wysdHGLfNzu5S3oqyRJ9fs5IrDvJ60pNgopmfFkxQ7eN/laps7eHZtNXcElC0iIqGlwE7Cyry8VB4+PY+mdscjKyvYVN3CN/0BVk+mZ8ez8oqZABz6WAFtvuBDsQDnzcjkzCnpvLGtnmXb61m8eRe/fLeM2+fn8oPjxnTmmz0ysct+uSmxlDe2db5eUriLO98upaCqmdqWDjp8jtYOR2l9G7mpXs9cTBQcNipprzoEHjslLpqk2CgOGbEnbVSyNxRd3rBn3t+DKyp4dGUlRbWtNLX7aPO5zh5AgE/lJrP2moN7fZ/6648fVdHhc1xyyN5BsoiIhIaGYiWsJMVGMSUrgUNGJvJ/p+XR2Obj1jdLOrdPy4oHYG1Vc2daXLS3z5SsBPoy4ywhJopTJ6bxk+NzefurM7ji0GxufqOE1o49w7Ox3RY5mHlDogBFtS2c+cxGZuYk8Oy5k1h+2UwWnJkPQGvHnqAyPjoq6GKJvY4NxEbvSds9kuzzzxV8es1Orn9lG5fOzuafX5zKyitm8vUjRnQp60B4ZGUl583IJCtR3w9FRIYLBXYS1n56fC53vVNKcV0r4A2RZidGc+ey0kErY1ZOIu2+PUO/+/J+SSOtHY5fnTKeY8alMC07geL6tn3vuJ/e3FbPUbnJXDt3JEeMTmJKVgKbaloOWHkA7xU38GF5E1cdpkUTIiLDiQI7CWsnTEjloJxEbnvLC+SS46J57Mx8Fm/axWef2sDiTbVsqm5hdXkT975bRnO7j+geFk9UNbZz0p/W88ePqlhV3siWmhaeLajmF++UcnJ+Kmnx0UH3625qVjw+5y2C2FLTwpMf7+S+/5YNWpu7m5aVwIqyRl7eVMuGnc3c+mYJr23tukjiveIGZjz4Ee8VN/R6rDUVTawsa6SysZ36Vh8ryxpZWda4V76HP6hgalY88/O0aEJEZDjRGIqEvW8fNYrLFhVy4zGjmJAezznTMnjn0hnctayUyxYVUtnUTlp8NEeMSuLxs/K5+OCsoMdJiYvi6LHJ3P/fcjZWt9DS7mNsahxfOiiLHwXMr9uX2SOTuP/U8dy1rJQfvbaDY8emcM9J47jwhS2D1eQuvnZEDivLG/nS37bgHJw3I4PvfGoUC1btWRXb2OZj3c4WGtt6X+17xjMbKapt7Xx9+GMFALgfzOlMq2vp4Kk11fzk02N6XGEsIiKhYT1d0+uAFWg21zm31z1SzOxq4GqAvLS4OUXXHjKk9RIRERl2dEsxCcLMljvngt57NRRDsROCJTrnHnbOzXXOzR2RpI5EERERkf4KRWBXHoIyRURERCJeKAK76hCUKSIiIhLxQhHYaba1iIiIyAEQisAuMwRlioiIiES8IQ/snHOvD3WZIiIiIp8EukCxiIiISIRQYCciIiISIRTYiYiIiESI4Xkl4LEzdbVtERERkX5Sj52IiIhIhFBgJyIiIhIhFNiJiIiIRAgFdiIiIiIRYngunigsgCvmhroWIr1auKGSa5dto/4rhx/wsmzBcp49cRLnT9SNW0Q+UR7TQkLpn+EZ2IkEcenrhfx+YxVXTMvm0U/nd9l2w3+3c/fqMs4cn86iU6cA0Nju47aVJTyzpZrtja2kxEQxPT2Ba2eO5IuTs4KWUVjXwsRnP+p8nRwTxdikWI4fncI3Z41kdlbSAWtfb0oumk1mfHS/9nmusJqH1lWyoqqRyuZ2/nP6NE4Yk9q5vXtbA/3iyLF875DRA6qziIgMPQV2ElbGJ8fy9OZq7j9qPMmxXqDT7nP8YWMVeclxXfJe81YRb5XXc/9R4zk4M5GdLR28W9HAzpb2fZaz+LQpHJqVRFOHj4KaZh5cW8GcvxXwh/kTuWhS8KDwQBqdFNvvfRrafRw7MpkvT87iK68X7rV9fHIcJRfN7pL2fFEN/7tsK+fnq2dQRCQcKbCTsDI7K4nixlae2VLNZdNyAPjHtloSoqOYNzqFqpaOzrwvbqvlniPHcVZeBgD5qXBETt963LITYjqDqYmp8ZwxPp0vLd3MNW9v5bNj08iI3/Ov82rxLq57Zxtb6lv5VE4SC47PZ2JqfOf2h9ZWcPfqMrY2tJKXHMeNs0dx1fQRndttwXIeOjaPV4p38dL2XYxKiOGWI3L58pTsLnn6OxR7iX//yubggWx0lO0VMD5XVM0puald6i8iIuFDiyck7FwxNYcFG6o6Xy/YUMllU7MxrEu+0YkxLN5RS21rR/dD7JfvHjya2tYO/l1c15nW0uHjzg9LWXB8PsvOmk5NawfXvL21c/vzhdVcu2wr1x80ko/OncV1B43k629v5e9ba7oc+5aVJZyTl8GHn5/JhZOyuPzNIorqW3qsywkvreOEl9YNSrt221LXwqvFdVwdEHSKiEh4UWAnYedLk7N4v7KBDbXNlDa2sXj7Li6dmrNXvoePm8C7FQ3k/GklR/xtDdcu28orO3btd7mzMhIA2Fy3J+Bqd/DAsXl8akQys7OS+O4ho/hPSR0+5wC456MyLpmSzbWzRjItPYFvzBrJxZOzuWtVaZdjXzIlmy9PyWZKWgK3HpFLjMEbpfU91iUvOW6voeeBemRdJTkJMZwzIWNQjysiIkNHQ7ESdjLjYzh3QgYLNlSRERfNCWNSyUvZO8iZNzqVzRccwjvl9bxV1sCSkl2c9s8NXD09h4eOm9Dvcp3/2QI6BuOjjenpCZ2vc5PiaPM5alo7yIqPoaCmmcundQ06Pz0qhRe79djNzkzs/DkmyhiREEt5D0OoAE/Mn9jv+vem3edYuKGKS6dmExtl+95BRESGJfXYSVi6fGoOT2ysYsH6Si6fmt1jvtgo4/jRqdx06Gj+9dlp3HpELg+vq6Swrudhzp6sqWkCYFLA/LMY6xoE7X7lc3undcnXLbF7MGVGZ6/fUPj71hpKmtq4ctrePZ8iIhI+FNhJWDo5N5W4KKOypZ3P92PocPdwan27r99l3rO6jPS4aE7JTevzPjMzEnizrOuQ6ptl9czKSOxhj9B4ZH0l80enMC2g91FERMKPhmIlLJkZq86dhXMQHx38+8kJL63ji5OymJuTRHZ8DGtqmvnB8h1MT49n5j4CmKrmdkob22jq8LG2ppnfra3g5e21/GH+RNLj+n49ue8dMpoLlmxiTnYSp41NY/GOXfxpUxXPnTy5X+3t7iuvbQF6H5Ld2dLO1vpWavyLRzbuaiEjLprRibFdVsNurW/lnzt28cS8/AHVSUREQk+BnYSt1NjeA6zPjE3jDxur+OHyHdS3+xidGMupuWn85LAxRO9jHtln/7URgMRoY1xyHMePSuH9s2dyaHb/LlD8+QkZ/PqYPO5ZXcb1725jQko8vz02j8/lDWyBwtaG1n3meXFrDZe9UdT5+qq3vJ9/etgYbj4itzP9sfWVpMdGc94EXbtORCTcmRvCeTy9MbOrgasB8pLj5hRdeEiIayQiIhJiuqWYBGFmy51zQe+9OuRz7MzsuGDpzrmHnXNznXNzRySoI1FERESkv0KxeGJwrhYrIiIiIl2EIrCbFoIyRURERCJeKAK71SEoU0RERCTihSKwG9h1HkREREQkqCEP7JxzfxnqMkVEREQ+CXTnCREREZEIocBOREREJEIosBMRERGJEMPzSsD5M3W1bREREZF+Uo+diIiISIRQYCciIiISIRTYiYiIiEQIBXYiIiIiEUKBnUgvUlJSWLhw4QEv5+abb+bggw/e79ciIiIA5pwLdR32Mjcj2b3/6ZmhroYMUx/UNjL3zQKOzkzmrWNn7LXd/rG88+cYg7EJcVyUm8lt08YSE2X9Kitl8Qf85qDxXDo+p9/1bPX5GPvqaq7LH8mPpo7Za/tvC8v5bsF2Sk45lGiDFp8jO85bqH7z+mL+UlLNR/MPCvq6vr2jS/5QemRrBU9s38nH9U34HByelsit08fy6ayULvl+W1jO3ZvLKGlp46CURO47aBzHZ6WGqNYi8omwKDKvsGFmy51zc4NtU4+dhJ1Htlby9Qkj+KiuiYK6puB5DplAycmz2XziIdw3azy/K6rgl1vKhrSecVFRfHlsFo9vryTYF6gF26s4f0wm6bHRpMRE9ytI62/+YFp9vgHtv9vSqnouzM3k1aOm8e5xM5ieksBn3tvAhobmzjxPF+/kujXb+MGU0Xzw6Zkcm5nM6e9tZGtT66DUQUREPArsJKw0dfj4c/FOrsrL4fzRmTy2rSpovozYaEYnxDI+MY7Pj87g1Jw0VtQ29nrsjQ3NnLBsHQkvr2D60o9YVFazV54dza1ctGIzmf9cSeY/V3JmtwCmuyvH57C5sZWlVfVd0j/c1cjy2kau9PcE3ry+mINf+3hfze8ULP/j2yqZ9drHJLy8gmlLP+JXm8vwBQSU9o/lPFBYzhfe30Ty4g/4wdpi2nyOb368ldx/ryL+5RWMf3UVN63d3ud6APzp8Ilcmz+Sw9OTmJ6SwO8OziM1JorF5bs689y7pYxLx+VwVd4IZqYm8uuD8xgTH8vviir6VZaIiPROgZ2Elb+UVDMhMY7ZaUlcMi6bJ3ZU0ebrfTrBmrom3q5u4KiM5B7z+Jzj3OWb8AHLjp3Bgtn53LyhhJaAXq3GDh8nvrOehOgoXjtmGsuOm8GYhFhOeXcDjR3Be78OSk3kqIxkFmyv7JL+2LZKpibHMy97cIYiH9lawQ/W7eCWabkUzD+IX84cx12bS/ltt8DpZxtKOGNkOqvnzeJ/80fwf4XlPF9aw1OHT2TDCQfz9OGTmJ6c0Jn/5vXFXYa2+6LV52jucGTGRvtf+1he28hpI9K65DttRBpvV9cHO4SIiOwnBXYSVh7dVsklY7MAmJ+VQlJ0FC8G6Vm7ZOUWUhZ/QMLLKzjo9TUcl5nMdRNH9njcf1fWsaaumT8eNpHD05M4LiuF+2aNpz0gZnyqeCfOweOzJzA7LYkZKQk8dMgE6ts7gvbu7Xbl+Bz+WlJNbVsHAC0dPv60YydX7Me8vZ7cuqGEX8wYx/ljMpmYFM/nRmVw0+TRewV2F47J5Mq8HCYlxTMxKZ6iphamJSdwfFYKeYlxHJuVwmUB9cqJi2F6cny/6vKj9cWkxERx9qgMACpb2+lwMKrb0PGo+BhKW9r2s8UiIhJM6Gdei/TRxoZm3qqu58nDJwJgZlycm8Wj2yo5b0xml7x3zxzHZ0ek0eFgY0ML3y7YxldXFvJH/77dFdQ3MTYhlrzEuM60ozKSu3zzWV7byJamFlL/ubLLvo0dPjY1tvRY74tyM/nWmm08WbyTayaM4IWyGna1d/DVsdn9fAeCq2hpY1tzG19bXcT/+2hrZ3q7c3Tvy5zbrdfy0nE5nPrueqYt/ZjTRqRxxoh0Th+ZRpR5i0yuzR/Jtfk9B8Td3b+ljIe2VvDvo6aR5u+x2826rVtxDvq3lEVERPZFgZ2EjUe3VdLhIG/J6s603VPItjW1Mj4gKBsdH8sU/5Di9JQE6jo6+OIHW/jZtFwmB+mB6svacJ9zHJaWxFNBgsOs2J7/lVJiovmfMZks2FbJNRNG8Ni2Ss4cmc7ohNg+lNqHevmfHzxkAsdm9jzcDJAc3bWT/oj0JApPOoTFFbtYUrmLr364hUPTknjlqKmdwV1f3b+ljB+tK+blT03lUwEBZE5cDNEGpS3tXfKXt7YzKn5w3gMREfEosJOw0O5z/H57FXdOH8tZo9K7bLtk5RYe317JT6bm9rh/tD9I6Wku3KyURHY0t3UJEN+raSAw9xHpSTxZXE1OXAwZvQRywVyZl8Oxb69jUVkNr1bW8be5k/u1f29GxccyNiGWTY0tfGVc/3sBU2OiuWBMJheMyeTScTkc/fZaNja0MC0lYd87+927uYyfrC/mpSOn7HWZk7ioKOakJ/FKxS4uCOhZfaVyF+eNzux+KBERGQAFdhIW/lFeS2VrO1fl5ex1mY+LcrP4XVEFP5oyprOXqaatg9LmNnw4NjS0cMuGYqYlxzOzh2DllJxUZqQk8JWVW/jVrPE0+Xx8a802YgI6rS4em809m8s45/1N3DItl7zEOLY1tfK3shqumTCCqck9B0LHZKYwKyWBr3xYyOj4WE4fmd5j3v1x89RcvvHxVjJiojljZDptzrGitpEdza18f8re19Db7d7NZYyJj+WwtERio4w/F+8kLSaKcf7g9jeF5fymsJy1J/R8MeS7N5Xyw3XF/PGwfKYlJ1Da7M2bS4yOIt0/HPvtiaO4ZGUhn8pI5rjMZB7cWklxcxvX5A3ePEMREVFgJ2HisW2VnJidGvTabReMyeSmtTv4d2Vd58rLq1YXAd4crtHxsczLSuGOGT1foDjKjOfnTOaq1UUc9fZa8hLi+OWscXzpgy2deZKio3j9mOnctHYHF6zYTG17B7nxsZyYnUpmH3rwrhifw3cKtvP/Jo/o7EEcLFfm5ZAcHcXdm0v5/rodJEZFcVBqwj7nx6XGePtsaGjBDA5PS+LlI6eS5B+yrWxtZ11Dz/MHAR4oqqDNOS4MeK8Avjoum4WH5gNwYW4WVa3t3LaxhJKWNg5OSeSlI6cwIal/CzNERKR3Q37nCTOb5ZxbEyT9auBqgLzEuDlFJx0ypPUSERGRCKM7TwyJjGCJzrmHnXNznXNzRwyD2ySJiIiIhJtQBHaFIShTREREJOKFIrAbH4IyRURERCJeKAK7uH1nEREREZH+CkVgp7t+i4iIiBwAQxrYmZkNdZkiIiIinxRDuvzUeddW2etSJyIiIiIycOo9ExEREYkQCuxEREREIoQCOxEREZEIMTxv8TBlZsTeBkRERETkQFGPnYiIiEiEUGAnIiIiEiEU2ImIiIhECAV2IiIiIhFieC6eKCiAuXNDXQuRA2ppXR0nrl9PxaGHkhMzPP8VRUSkD94fPgs+1WMnYaWsrY3rtm1j8urVxK9YwdhVqzh9wwZeqq3tzJO/ejX3lJbute89paXkr169zzJWNjbyxc2byV21ivgVK8hbtYozNmzg+epqfM4NansOhOeqqzlt/XpGfPghqR98wFEFBbxYU9Mlz8dNTZy/aROTVq/Gli/n5uLiENVWREQGk7oJJGwUtrRw3Lp1pEZFcefYsRyalITPOV6tq+OaoiK2zp494DIW1dRw3ubNnJyayuMTJjAlIYGd7e2sbmri9tJSjkxOZlxc3CC05sB5rb6ek9LSuG3sWLKio/nTzp2cu2kTS6dN4/jUVAAafT7y4+P5QmYmP9qxI8Q1FhGRwaLATsLG17duxQHvz5xJSnR0Z/rMxEQuzsoa8PEbOjq4rKiIM9PTeW7y5M70yfHxHJmczOU5OTh/j12Hc1xdVMSSujpK29oYFxfHVTk5fHfUKKLMeL2ujpPXr2fb7NmMjo3tPNYPd+zg77W1rJo1K2gd3q6v5/s7dvDfhgYyY2I4Oz2du8aNIy2gvfty//jxXV7/NDeXf9TW8kJNTWdgd2RyMkcmJwNwR0lJn48tIiLDm4ZiJSzsbG9n8a5dXDtiRJegbrfMQZij9q9du6hsb+eGUaN6zGNmAPiAsXFxPDNpEgUHHcTtubncUVrK41VVAMxLTWVyfDxP+F8D+JzjiaoqrsjODnrs1U1NnLZhA2dnZPDhrFk8N3kyK5uauLywsDPPwspKbPlyClta+tW2Op9vUN4jEREZ3nSml7CwsaUFB8xMSOhT/h8WF3Nzt56oNucYE9B71t16f7A0PaCM1U1NHLN2befrh/LyuDg7m1gzbsnN7UzPj49nRWMjT+7cyRU5OQBcmZPDY1VV3DB6NAD/3LWL8vZ2vtxDYHd3aSkXZmbynYDA8nd5eRxeUEB5WxsjY2NJj45menw8sf4Asy8eKC9ne2srlwxCr6aIiAxvCuwkLPR3ycK3R43aq2fssaoqnty5s1/HmR4fz8qZMwE4tKCAtoDFEw9WVPBoZSVFra00+Xy0FgM8MAAAFFdJREFUOceEgPl3X83O5ofFxbxdX8+xKSksqKzk8xkZZPfQc7a8sZGNLS08XV3dmba7tE0tLYyMjeXczEzOzczsc/3/Wl3N97Zv56lJk5gQH9+PlouISDhSYCdhYWp8PAYUNDdzbh/yZ0dHM6Vb7172PuapTfMHPmubmzkmJQWAuKiozuME9pE9vXMn12/bxj3jxnFsSgppUVE8UFHB8wGrT0fExnJ2ejoLKiuZnpDAi7W1/H3KlB7L9+H18n1r5Mi9to3djwUbf62u5pItW3hi4kTOzsjo9/4iIhJ+FNhJWMiKieEzaWn8pqKCb44cudc8u5r2djIGOIfstLQ0sqOjubO0lBd7CcAA3qyv56jkZK4NCMI2BZn3dtWIEd5lReLjGRUTwyn+xQvBHJGUxMdNTXsFpPvjmZ07+WphIb/Pz+f8fvTwiYhIeNPiCQkbv83LwznH3IICnq2uZl1zM2ubm/ldRQWz16wZ8PGTo6N5LD+fxbt28dkNG1hcW8umlhZWNzVxb1kZzT4f0f65bdMSEljR2MjLtbVsaG7m1pISXqur2+uYp6amkh0Tw89KSrgsJ4eoXubG3ThqFO81NHBNUREfNDaysbmZRTU1fK2oqDPP89XVzPjoI3a0tvZ4nKd27uTiLVv4+dixzEtNpbStjdK2Nna2t3fmafX5WNnYyMrGRpqdo7StjZX+MkVEJHwNmx47M7sauBogb5hfJ0xCY2J8PCtmzeKOkhJu3L6dHW1tZMfEcGhiIg9NmDAoZZyTkcE7M2ZwV2kplxUWUtneTlp0NEckJfF4fn7nZVW+lpPDysZGvrRlCw44LyOD74waxYKAVbDgraK9LDubm0tKuKyHRRO7zU5K4vXp0/lRcTHz162jA5gUF9dlTl1tRwfrWlq6zPXr7sGKCtqB67dv5/rt2zvT56eksHT6dACK29o4vKCgc9umlhYeqqzskkdERMKPuSG+kr6ZHe2ce6e3PHOTk937/gnrIuHu/xUVsbGlhVemTQt1VURE5EAY4luKmdly51zQe6+GosdO3XHyiVDb0cHyhgae2LmTZyZNCnV1RETkE2DYDMWKRJpzNm7kvYYGrsjJ4cz09FBXR0REPgFCEdjp/kXyiaC5aiIiMtRCsSp2TAjKFBEREYl4Qx7YOedeH+oyRURERD4JdB07ERERkQihwE5EREQkQiiwExEREYkQCuxEREREIsTwvI7dzJlDfhVnERERkXCnHjsRERGRCKHATkRERCRCKLATERERiRAK7EREREQihAI7ERERkQihwE5EREQkQiiwExEREYkQCuxEREREIoQCOxEREZEIocBOREREJEIosBMRERGJEArsRERERCKEAjsRERGRCKHATkRERCRCKLATERERiRAK7EREREQihAI7ERERkQihwE5EREQkQiiwExEREYkQCuxEREREIoQCOxEREZEIocBOREREJEIosBMRERGJEArsRERERCKEAjsRERGRCGHOuVDXYS9mVgesC3U9DoAcoDLUlRhkalN4UJvCg9oUPiKxXWpT+JjgnBsRbEPMUNekj9Y55+aGuhKDzczej7R2qU3hQW0KD2pT+IjEdqlNkUFDsSIiIiIRQoGdiIiISIQYroHdw6GuwAESie1Sm8KD2hQe1KbwEYntUpsiwLBcPCEiIiIi/Tdce+xEREREpJ+GVWBnZrPM7FUzazSzYjO7xcyiQ12v/WVmF5jZi2a2w8zqzWy5mX0x1PUaTGY21t82Z2Ypoa7P/jKzGDO7ycw2mFmLmW03s1+Ful4DYWYXmdkK/+9nh5k9YWa5oa5XX5nZFDN7yMw+NLMOM1saJI+Z2Q/MbJuZNZnZ62Z2WAiq2yf7apOZjTGzu/3b6/3t+v1w/7315XfVLf99/nPGPUNUxX7ra5vM7BAzW2RmtWZWZ2bvmdmcIa5un/Txf2qMmT0e8Ln1gZldHILq9klfPmfD7TwxUMMmsDOzTODfgAPOAW4BvgP8LJT1GqBvA/XAt4Czgf8Afzazb4S0VoPrbrw2hrvHgW8C9wCnATcBTSGt0QCY2dnAk8DbeP9PNwLzgEVmNmz+7/fhIOAMYL3/EcxNwI+Bu4DP4f0t/tvMRg9JDftvX22aA5yL97v7HPA94Cjg7WH+xakvvyvA+wIPXA7sGoJ6DcQ+2+QPDt4GaoALgQuAvwOJQ1TH/uq1Tf5zw4vAfOAGvHPHO8AfzezcIaxnf/TlczbczhMD45wbFg/g+0A1kBaQdgPQGJgWTg8gJ0jan4Etoa7bILXveGAn8F28gDwl1HXaz3Z8FmgDZoW6LoPYpqeA5d3Szvb/nmaGun59bENUwM9/AZZ2254A1AI/CUhLBiqA20Jd//1sUwYQ0y1tmv/39tVQ139/29Ut77+BW4FC4J5Q130gbcILev4c6roOVpuAGf6/tc91S18BPB3q+vfQpl4/Z8PxPDHQx3D65n468E/nXOC3uKfwvvnMD02VBsY5F+xq1x8AI4e6LoPNP0T+a7ye1XC/qvflwBLn3JpQV2QQxeKdzALV+J9tiOuyX5xzvn1kORZIA54J2KcBr8fk9ANYtf22rzY552qcc+3d0tbjfcEdtueNPvyuADCz84GZwM8PbI0Gbl9t8vc8HoV3HgwLffg9xfqfg507huV5ow+fs2F3nhio4RTYzQDWBiY457bindBmhKRGB8axQCQEENfgfRN6INQVGQRHAevN7Ddmtss/x/O54T6vaR8WAMeb2VfMLM3MpgG3Af+JoAB2BtABbOiWXkAEnTPMbDaQRJifN8wsEfglcJP/gzXcHeV/zvTPWWs3s01mdkVIazUwHwHvAreY2VT/ueNS4DjgwZDWrH8CP2c/EeeJQMMpsMtkT49CoGr/trBnZifjzVkI62DIzLLxhlK+7ZxrC3V9BsFo4FLgMOAi4DK8uU7Pm9mw/Ja6L865f+C16WG8b9/rgGjgCyGs1mDLBOqdcx3d0quBJDOLC0GdBpV/ztP9eB9K/wpxdQbq+0AJ8MdQV2SQ7J6f9QTwJ+BUYDHwqJmdEbJaDYDzxilPx4sN1uOdOx4GLnfOLQll3foqyOdsxJ8nuhtu94oNdlE96yE9rJhZPt64/9+ccwtDWpmBux141zn3UqgrMkjM/zjHOVcFYGYlwGvAScCrIazbfjGzE/G+Yd8PvAyMAm7GC1ZPCXKSC1c9nTN62hZu7gSOAeaH85coM5uINxf3JH/wEAl2d4w86pz7hf/n/5jZTLwgNuzOj/4vEn8AsvEWg5TjLbZ4zMyqnHOLQ1m/fenlczbSzxNdDKfArhpv4nB36QTvyQsbZpaF9+G6FfhyiKszIGZ2EN6ctHlmtvv3leR/TjezDudcuK0mrQY27w7q/N4EWoFZhGFghzfk9aJz7sbdCWa2Em+6wznAc6Gq2CCqBlLNLLpboJoBNIZzIARgZl/HWxX7Refcu6GuzwD9HO8cuDbgvBEFxPtf14ZhwLfT//yfbulL8FZohqOzgDOBac653UOXS81sPPALvB7JYamXz9mIPk8EM5yGYtfSbbzb/8eUTLe5d+HEzJKARUAccGYEzC2ZijfBdhneP0w1e7q8txNGE4kDFPSQbkCfJoUPQzOAlYEJzrl1eJdwmRySGg2+tXjDy1O6pe81XzfcmNl5eP9LNzjnng51fQbBdLxpANUBj/HAtf6fx4auavstUs8bjQFB3W4fMIzPG/v4nI3Y80RPhlNg9zLwGTNLDUi7EO+D6LXQVGlgzCwGeBYvGDrdOVce4ioNhjeBE7s97vJvOwPvunbhZhEw28xyAtLm4QWwH4amSgNWBBwRmOAfIkrEu8xEJHgb71poF+xO8J/gP4d3PglLZnYC3pyt3zjnhu0FfPvpSvY+b5ThrVQ8Ee/SE+Hmbbyg9ORu6ScT3ueNJDOb3i19DsP0vNGHz9mIPE/0ZjgNxT6Id4HY58zsLmAS3pyge7tdAiWc/BYv2LkOyDKzowO2feCcawlNtfaff2n50sA0/7wGgDecc+F4seKH8f72/m5mdwCpeMHqv51zb4a0ZvvvQeBXZlbMnjl2P8E7OYfF3B//yXf3JPSxQJr/chkALznnGs3s58CPzawa79v3t/G+sA7LnuN9tQmYALyA15anu50zKpxzm4assv3Qh9/V+0H2aQa2OeeWDk0t+6ePf3+3AL8wsxrgv8B5eF8Kh+Uluvrw9/cS3lDmC/62VeANzf4P8L9DXN2+2tfnbHO4nScGLNQX0gt84M1nWoLXS1eCt/IyOtT1GkB7CvEmZgZ75Ie6foPYzksJ4wsU+9swBe+k1oD3LXwhkBnqeg2gPQb8P2CVv007gKeBSaGuWz/akL+v/x9/O3+INw2gCXgDODzUdd/fNgX8LwV7LAx1/QfyuwqyTyHD+wLFfWoTXpCwBW9O7mrgC6Gu+0Da5D8XPgsU492h4UPga4CFuv69/B1F1HlioA/zN1pEREREwtxwmmMnIiIiIgOgwE5EREQkQiiwExEREYkQCuxEREREIoQCOxEREZEIocBOREREJEIosBORsGVm55vZh2bWZGbOf9eG/TnOQjPTtZ9EJOwpsBP5BDOzE/wBkTOzK3vI48xs0VDXbV/MbBrwJFCLd8/RS+j5/p2Y2aVmdv0QVU9EJCR0gWKRTzB/D9d//C+LgSnOuaZueRzwD+fcWUNcvV6Z2dXAQ8Ac59yKPuRfincl+vwg22Lx7nLTPNj1FBEZSuqxExGA94FcIJx6tEb7n3cO9EDOuTYFdSISCRTYiQjAM8By4EYzy+7LDmb2eTN7y8zq/Y+3zOycgVbEzOaZ2StmVuufO7fCzK7olscBP/O/3OIfLi7s5ZiFeDdmnxAw9Nw5Jy/YHLvdaWaW7f+50szqzOwFMxvtz3O1mRWYWbOZre2p/WZ2oZm96d+/0czeDbj5emC+M83sNX9ZTWa21cye8w879/aeLfTXISEg7Vh//XeaWVRA+un+9P8JSIsxsxvNbI3/OFVm9ryZHdKtnHz/vjeb2Vlm9l9//hIzu9vMYnqrp4gceArsRAS8G2bfCKTj3Sy7V2b2deB5IAu4DbjV//ML/iHS/WJmnwOWADOBXwI/ANqAR83s9oCsl/jLB/iW/3VvvY3XA2uBSn/e3Y8e5+QFWIz3vvwEeAQ4C3jezL4HfA/4PXATEAf8xcwmdmvTbcBTQB3wY3/eRuBZM/vfgHzzgRf9Zd2JN2/wESAb78bsvVkCxAPHBaSdBPiATODwbumOPUPwAH8Cfo53k/TvAQ8CJwLLzCxw393OABYAL+O9/x8C3wVu2Ec9ReRAc87poYcen9AHcALeh/x3/a//BTQDEwLyOGBRwOtMoB7YCKQFpKcBm/ACmIz9qEs0UATUALkB6XHAW0AHMDUg/WZ/3fL7ePylQGEP2xZ6p8O904AHuqXf60/f2q39s/3pdwakHeFPuyNImS8Au4DUbscduR/v3Vj/vrcHpC3xl1EL3BCQvhxYFfD6VP++T+Ofdx3QnnbgjYC0fH/ehsD3HTDgI6Ak1H/TeujxSX+ox05EAt2IF0jd2kueU4Fk4P+cc7t2J/p//jWQApyyH2XPAfKABc654oDjtgJ3440wDHiodz/c1+31G/7nJ7q1fxVeoDY1IO/FeIHQ780sJ/CB1zuXChzjz1vrfz6vv0OazrkdwAa83jj8Q7LH4AXqrwMn+9MzgMPwgr7dzvU/3+6ccwHHXAUsAj5tZiO6FfmCc64wIO/uHsDRZpbSn7qLyOBSYCcinZxzH+BdQuRiM5vdQ7bdQ40fB9n2kf950n4Uf6COO1Cbu72u9j9vCZK3Gm/odLeZeL1Za4GKbo/H/HlG+Z9/A3wA/BbYaWYvmdk3gwRVPVkCzDWzVOBYIMGftgQvOIvD66GNomtgNxFvyDbYsPRHAXkCdX9PAKr8z32aoykiB4YmuopIdz8CzgfuAk4Pst0OULkH6rgD4pzr6GFTT+nW7WeH9z72lP9jfzlVZnYkcDxer+g84FfAz8zsDOfcsn1UdQnwNf9+xwDFzrm1ZhYPJAFH4/XodQCv9VDfvuqpLft7PBEZJArsRKQL59wWM/sdcJ2ZnRgkyyb/80HAq922zfI/B+vR2ZfA43Y3kOPuFoqLdm4APgtsdc7tc6GGP4hc6n/g7zVdjhdsn7mP3ZfgtfFkvMBud6/cKrwewpPxFkSscM7VBuy3CfgMXu/iqm7H3P2+B+udFJFhSEOxIhLMbXjzxe4Ksu0VvMnz3/AP+wHg//kbeAsrXglIn2Fmk/tQ5gq8BQmX7b6ciH//WLyVmg74W/+b0qkeyDSzoexR+oP/+Q4zi+6+0cxGBvycE2T/tUAT3orjXjnnKvGGTs8C5uIP7Pzz35YCF+AFzUu67fqC//n7ge+NmR0MnA286Zyr2Ff5IjI8qMdORPbinKs0s7sJsojCOVdjZjcADwDvmtlC/6ZL8S7L8bVuPUIFeKtd8/dRZoeZXYt3GZP/mtnDeCtsL8QbRrzDObdhAM16By/o+Y2ZvY03nLjEOVc+gGP2yjn3XzP7Kd4191aa2bN4d/gYg7dY5Ay8xSoAj5jZOLwFD0VAIl7bU4En+ljkEuC6gJ8D0y8Iko5z7hUzewa4CC/wXYR38ef/xVsh/c0+li0iw4ACOxHpyb3A1/GCkC6cc781sxK8nrSf+pM/BM51zr3QPX9fOef+bmYn4w09fg8v6CkArnLOPbq/x/W7D2/xxfnANXgjFicCByywA3DO3WJmy/ECpOvxVhSX4/WuXReQ9Q94wfFXgRF4PaZrgPOdc3/tY3Gv+o+52TlX1C0dvGsCvhlkv4vxekwvxbt+YAPePLwfO+dW97FsERkGdK9YERERkQihOXYiIiIiEUKBnYiIiEiEUGAnIiIiEiEU2ImIiIhECAV2IiIiIhFCgZ2IiIhIhFBgJyIiIhIhFNiJiIiIRAgFdiIiIiIRQoGdiIiISIT4/5cofA7nBACRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 756x756 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "players=pd.DataFrame(data['player_of_match'].value_counts())\n",
    "players['name']=players.index\n",
    "players=players.head(20)\n",
    "fig=plt.gcf()\n",
    "fig.set_size_inches(10.5,10.5)\n",
    "plt.yticks(rotation=90,fontsize=0)\n",
    "plt.xticks([0,2,4,6,8,10,12,14,16,18,20],[0,2,4,6,8,10,12,14,16,18,20],fontsize=15)\n",
    "plt.barh(players['name'], players['player_of_match'],color=plt.cm.hsv(np.arange(0,len(players)*5,5)),alpha=0.8)\n",
    "count=0\n",
    "for i in players['player_of_match']:\n",
    "    plt.text(5,count,players['name'][count]+': '+str(i),size=14)\n",
    "    count+=1\n",
    "plt.title('Most \"Man of the match\" awards',fontsize=18)\n",
    "plt.xlabel('No. of times won',fontsize=18)\n",
    "plt.ylabel('Players',fontsize=18)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.068227,
     "end_time": "2020-10-27T15:55:02.072134",
     "exception": false,
     "start_time": "2020-10-27T15:55:02.003907",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<center><font size=4><b>Matches hosted in each city</b></font></center>\n",
    "* Mumbai has hosted most no. of matches by far(101).\n",
    "* As expected, top 8 cities are home grounds for the teams."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:02.245683Z",
     "iopub.status.busy": "2020-10-27T15:55:02.218044Z",
     "iopub.status.idle": "2020-10-27T15:55:02.706385Z",
     "shell.execute_reply": "2020-10-27T15:55:02.705650Z"
    },
    "papermill": {
     "duration": 0.566191,
     "end_time": "2020-10-27T15:55:02.706527",
     "exception": false,
     "start_time": "2020-10-27T15:55:02.140336",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1332x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.gcf()\n",
    "fig.set_size_inches(18.5,9)\n",
    "sns.countplot(data['city'],order=data['city'].value_counts().index,palette='Set2')\n",
    "plt.xticks(rotation=90,fontsize=14)\n",
    "plt.yticks(fontsize=16)\n",
    "plt.xlabel('City',fontsize=20)\n",
    "plt.ylabel('Count',fontsize=20)\n",
    "plt.title('No. of games hosted in each city',fontsize=15)\n",
    "count=0\n",
    "cities=pd.DataFrame(data['city'].value_counts())\n",
    "cities['name']=data['city'].value_counts().index\n",
    "for i in cities['city']:\n",
    "    plt.text(count-0.2,i-2,str(i),rotation=90,color='black',size=12)\n",
    "    count+=1\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.069483,
     "end_time": "2020-10-27T15:55:02.845786",
     "exception": false,
     "start_time": "2020-10-27T15:55:02.776303",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<center><font size=4><b>No. of matches hosted at each stadium</b></font></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:02.996601Z",
     "iopub.status.busy": "2020-10-27T15:55:02.995740Z",
     "iopub.status.idle": "2020-10-27T15:55:03.000296Z",
     "shell.execute_reply": "2020-10-27T15:55:02.999571Z"
    },
    "papermill": {
     "duration": 0.082696,
     "end_time": "2020-10-27T15:55:03.000424",
     "exception": false,
     "start_time": "2020-10-27T15:55:02.917728",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['M Chinnaswamy Stadium', 'Eden Gardens', 'Feroz Shah Kotla Ground',\n",
       "       'Wankhede Stadium', 'Rajiv Gandhi International Stadium, Uppal',\n",
       "       'M. A. Chidambaram Stadium', 'IS Bindra Stadium',\n",
       "       'Sawai Mansingh Stadium', 'Maharashtra Cricket Association Stadium',\n",
       "       'Dr DY Patil Sports Academy', 'Kingsmead', 'ACA-VDCA Stadium',\n",
       "       'SuperSport Park', 'Sardar Patel Stadium, Motera', 'Brabourne Stadium',\n",
       "       'Saurashtra Cricket Association Stadium', 'Holkar Cricket Stadium',\n",
       "       'Himachal Pradesh Cricket Association Stadium', 'New Wanderers Stadium',\n",
       "       'Sheikh Zayed Stadium', 'Barabati Stadium',\n",
       "       'Dubai International Cricket Stadium', 'Newlands', 'St George's Park',\n",
       "       'JSCA International Stadium Complex', 'Sharjah Cricket Stadium',\n",
       "       'Shaheed Veer Narayan Singh International Stadium', 'Nehru Stadium',\n",
       "       'Green Park', 'Vidarbha Cricket Association Stadium, Jamtha',\n",
       "       'De Beers Diamond Oval', 'Buffalo Park', 'OUTsurance Oval'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['venue'].value_counts().index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:03.162818Z",
     "iopub.status.busy": "2020-10-27T15:55:03.161704Z",
     "iopub.status.idle": "2020-10-27T15:55:03.725499Z",
     "shell.execute_reply": "2020-10-27T15:55:03.726083Z"
    },
    "papermill": {
     "duration": 0.652896,
     "end_time": "2020-10-27T15:55:03.726254",
     "exception": false,
     "start_time": "2020-10-27T15:55:03.073358",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+nwf+1sAxDwX+B+gOLCAlrHXZG9gOOBy4rDYhzI4gVQW3JVVni9XVnwM9gC8A35V0YN5+PvB3oEve7/68fSzQvzDmZOC/Cq/H5ucvkhLC7sAjwF9K4v0K8Fngi/kcz8z77wtcJKkHqTLcVlI/SEtrgaMon9Q/keP/gaRP1ybYABHxlfx0y7xk9qn6zl3SwcB/A58D9gSOLDNeYx0BfBfYHNgH+CdwOrAZ0A/4WukOOakfJ2ncgrnzVmJoMzMzs9Vv33335YUXXmD99ddnk002oV+/fhx66KHU1NTQpUuX5fp26dKFefNW/b93nHza2m4JKbE4jFQBra/qCSkpm9ZAnwci4pGI+BAYAexUT9/BEbEgIsYAM4GtC23XR8RbEfEuMKr2OBHxakQ8HBFLIuJl4BZSAgiwmJQg9YqIuRHxdN5eTD73AC4D+kvqDmwMPJePfXtEzIiIxcCvgc9KaleI6fcRMScinszzcEtEzIqI54E3gO0jIoCbgGPyPnsD8yPimdKTj4ihwE+BAcCTwJuSvl7XZDVw7ocD1+bq6Qzg8rqO0wi3RMTLEfEeMBp4IiImRsQc4EHKvKcRcV1E9IuIfh3X77wSQ5uZmZmtXkuXLuXLX/4yAwYMYP78+cycOZP333+fM888k6qqKubOnbtc/7lz59K586r/946TT2sNbiIttz2ahpPP94CGboBTvKnNAqDTCvYt25ZvinSXpGmS5gAnk5JiSJXITsBESU9Iql16OpZU4d0MmAOMJCWjewGPR8RH+djfzcto5wBvkv4b0K2OmD4o87o2/mHA0bmSWe9S5ogYEhH75XEGAzfnpPgTGjj3auCtQvcpdY3ZCI09TzMzM7M13qxZs5gyZQqnnnoq6623Ht27d+eEE07gnnvuYccdd+TZZ59d1nf+/Pm8/vrr7Ljjjqs8Dief1hqMAXYAZkXE5Ab6/ou0FLY5XURKhraJiC7A1YAAIuLtiBgEbAhcR0qsyRW8t4BTgbER8SqwCekGP2MhXZMKXAp8C+hKWnJK7bGbIiJeJFVy9yVVJBtK6omIhRHxR1Ki3beObnWeO6kSu0mh76b1DDcf6FB4vWFD8ZmZmZmtrXr06EHfvn25+uqrWbJkCbNnz2bIkCHsvPPOHHbYYUycOJHbb7+dhQsXcsEFF7DTTjux3XbbrfI4nHzaWi8vE/0a6c6rDbkM6C3pakkbAUjaSdKfKxljic7APGCepJ1JlUVyLIdLqo6IpaQ78n5U2G8scBIp2QZ4Cjiej6/3rAKWku4A3I50/ejKGAZcCbwVEf8u10HSIEkHSuokqY2kbwFtgVdyl+lAn8IudZ47cAfpGtA+knoCP6gntueBo/KYA4BPrcD5mZmZma017rjjDu6991569uzJVlttRdu2bbnsssvo2bMnt99+Oz//+c/p1q0bTzzxBMOHD69IDG0rclSzFiZfs9iYftMl7QX8FnghLyv9N6liuLpcQErs5gGPk5Ku2i+K9gCulNSZ9JMxxxf2GwN8h4+TzTGkmyM9ARAREyX9CZgI1ADnrWScN5OW0f60nj7z8jjbkxLfl4BDI6L2CvZfAX9T+i3WA6jn3CPi7/kmR+OA2cD1pGW55ZwLDAfez3/+3wqdoZmZmdlaYpdddmH06NFl2w444ICK/LRKKaWikJlZ00hqD7wL7BgRbzXUf21SvXXfGPiHlS0cm5mZmVXeJV85brWOJ2l8RPQr1+Zlt2a2or4NPNbaEk8zMzMzWzFedmtmTSZpHOkmPs19cyYzMzMzW0M4+TSzJqtrKYWZmZmZWV2cfJqZNdEmXbqv9usnzMzMzNZ0vubTzMzMzMzMKs7Jp5mZmZmZmVWck08zMzMzMzOrOCefZmZmZmZmVnG+4ZCZWRMtmfEW06/+aXOHYWZmZmuZXidf3NwhVJQrn2ZmZmZmZlZxTj7NzMzMzMys4px8mpmZmZmZWcU5+TQzMzMzM7OKc/JpZgBIukbSec0dR1NJelnSfs0dh5mZmZnVz8mn2VpM0iRJCyTVFB4DV3MMm0saJmmGpLmSXpJ0kaQuqzMOMzMzszVBVVXVco82bdpw2mmnATBs2LDl2jp27Igkxo8f38xRN46TT7O13+cjoqrwGLa6BpbUC3gMmA/sGhHrAwcAHwE7rMDx2qzaCM3MzMxalpqammWPd999lw4dOnDkkUcCMHDgwOXar7rqKrbYYgs+85nPNHPUjePk06yVkrShpPslzZP0D6BzSfsPJL2WK5Z/ltQhbz8+73d9rmQ+LWnrOoY5A3g7Ik6MiLcAImJqRJwbEY/l4+0paVw+1iRJ3yvEcF6umt4laT6wp6Q9JL0gaY6kwSUxd5R0laS3JU2RdEah7UZJl0t6KI91p6SOuW1bSY/m7e9I+tnKz7CZmZnZyhkxYgS9evWif//+ZduHDBnCcccdh6TVHNmKcfJp1npdBbwJ9ASuBI6obZB0DPBt4PPA5kAX4JzCvvsDI4ENgHHABXWMsT9wdwNxLAZOBLoCxwC/k1Ssig4AriAlx08BtwO/y3EvBLYq9L0099sa2BM4SdIXC+1HAicDGwN9gGPz9vOBv+fz3Ba4vzRISSfmJHncezUfNHBKZmZmZiuvvuTyzTff5OGHH+a4445rhshWjJNPs7XfA5JmFx67SGoLHAKcGxELI+JeYExhnxOAX0XE5IhYAPyWQnIKPB8Rd0TEEmA4sFMdY3cHptW+kHR6jmG+pJ8ARMS4iHg6IpZGxOPAg8B/FY7xr4gYFRFLSQnlgoi4ISI+BH4NLMrHXgcYBPw4IubnSut1JXHfEhEvRsQ8UlJcG/diYDOgV0TMjYinS08kIq6LiH4R0a97VYc6TtfMzMxs1Zg8eTIPPfQQgwYNKts+dOhQ+vfvT9++fVdzZCvOyafZ2u+LEdG18JgA9CD9/X+n0G9K4fmmwJ9rE1ZgVN6n1vTC8wVApzrGngVU176IiMsjoitwG9AWQNKOkh7Iy3vnAF8lJa213io8ry7GGRGLCrH0ANoD/y7EfS7QqxFxn5mfT5T0hKR96zgfMzMzs9Vi6NCh7L333nUml0OHDq0zMW2pnHyatU4zgQA2KmzbtPB8KjCwkLB2iYjuNN1o4OAG+lwJjAU2i4guwD+B4tqSKDyfBmxS+0JSOz5OLmeSluFuXoi7c0Qc1lCQEfF2RAwCNiRVS29qaB8zMzOzSqovuXzkkUd4++23OeKII8q2t1ROPs1aobxc9u/AuZLWy9dFFq9k/zPwc0l9AST1Lrl2srEuBTaWdJ2kTfOxqoHiV3idgfeBhZL2B75Uz/EeA6okDZK0LnAWsF4+p6XAENI1o10krSNpB0m7NRSkpMMlVedjzCXdjdfMzMysWTz66KNMnTp12V1uSw0ZMoTDDz+czp07l21vqZx8mq39/lXyO58/zdtPAbYkVQxPB0bU7hARw4EbgZGS5gL/It2Ip0kiYhrp+s3OwDOFY40lVRghLXn9ISnp+z6p8lnX8RaRruE8M8fdEXit0OUM0s+6TCQt+b0BWL8Roe6R46sh3Vjp+EadoJmZmVkFDBkyhAEDBpRNLhcuXMitt966xi25BVBENNzLzMyW2WXz6rj/Z2vOneXMzMxszdDr5IubO4SVJml8RPQr1+bKp5mZmZmZmVWck08zMzMzMzOrOCefZmZmZmZmVnFtmzsAM7M1Tduem6wV12SYmZmZrU6ufJqZmZmZmVnFOfk0MzMzMzOzinPyaWZmZmZmZhXn5NPMzMzMzMwqzjccMjNrohmzarjqf8c2dxhmZmbWjL7/rb2bO4Q1jiufZmZmZmZmVnFOPs3MzMzMzKzinHyamZmZmZlZxTn5NDMzMzMzs4pz8mlmZmZmZmYV5+TTrAWRdJ6ka1Zgvz6SFlYipgbGvVHSz1b3uJUk6V5Jxzd3HGZmZmZrGyef1mpImiRpgaSa/Hi9meLoI+luSbMkvS/pKUn9V/P4Cwuv20u6X9IISXX+/JKk/SS9vArj6C9plKR5kmZKelLSSavq+GZmZmaVVlVVtdyjTZs2nHbaaZ/od/755yOJBx98sBmibDmcfFpr8/mIqMqPLZuyY32JWRMNBZ4FNgKqgZ8AC1bRsZtEUnvgLmA+8I2IWLKaxt0fGAncCWwWET2A7wD71NHfv0lsZmZmLU5NTc2yx7vvvkuHDh048sgjl+vz+uuvM2LECDbaaKNmirLlcPJprV6uBI7MlcgXJH2h0DZJ0k8lvQJMzNt+KOkNSdMlXSupQ95+d6GqWiMpJO1SZsjdgBsjYlF+PBQR4wvtnSTdlSuCoyX1ysdfR9KdedxZkm6W1KXkXE7O7W9JOqSB816PlPwtAo6KiMX1nR8pWdwmn9vMMsfbWtIYSbMlTZV0fj3D/wa4NiKujIj3ASLiuYj4ZuF4TZn74yXdW9h3D0mT8vM+khbWNTeStpH0RJ7vIUCb+ubNzMzMrJwRI0bQq1cv+vdffkHbqaeeyuDBg2nXrl0zRdZyOPm0Vk1SG+Af+dELOAkYLql7oduhwN7ArpK+TKpUfgnYGtgS+AVARBxcW1UFfgo8B7xSZtgngGskDahNLEscCvwP0J1UEf1Roe12oE8ed0PgrEJbO2ALYJO8vb5rRwXcASwBjiwknnWeH/AV4N/5HHvUcdyfAz2ALwDflXTgJwaWOgG7A3+vJ75ajZr7Rqhvbm4C/kma7zHA/uUOIOlESeMkjauZO7uRw5qZmVlrMWTIEI477jgkLdt222230a5dOw466KBmjKzlcPJprc0DuTI3W9KFpCRonYj4Y0QsiYgxpOTwS4V9LouIGRHxAXA0qWL3akTMAS4AjikOIGkP4FxgQN6n1JHABOC3wDuS7pPUuxhjRDwSER8CI4CdACJiaUT8b0QsyNXC35MSs2VDAxfm/W4GNpTUs455aAvsBwzL/Ws1eH51yfs8nOfxZeCWkvhqdcuxTlsWeLredLakDyTtXujbpLmvR9m5kdQH2A74bUR8GBF/AibVcX7XRUS/iOhXtX7XRg5rZmZmrcHkyZN56KGHGDRo0LJtNTU1nH322Vx++eXNGFnL4uTTWpsvRkTX/PgFsCmwdSEhnU2qfFUX9nmr8Lw3MKXw+k3StZsA5ErmrcC3I6LsDY0i4r2I+ElEbANsBiwFiv9Vml54vgDolI/dVtLlkt6UNBcYRqrW1VoUEXPzGEuAxbX7lrEYOAK4vrjMuKHzq4+kjfNy4WmS5gAnl8RX630gKMxxRBwREV2Bd1n+v0uNnvsG1DU31cD0kgR8Spn9zczMzOo0dOhQ9t57b/r27bts27nnnsuxxx673LbWzsmntXZTgecLCWnXiOgUEZcV+kTh+dukhLXWZsA7sGwJ7y3ADRHxj8YMHhFTgT8COzSi+0CgP7BnRKyfX6v+XeodeyTwXeCOQrWxzvNj+Xko5yJS4rxNRHQBri4XX0TMB8YB9V6TWmbM+mKbD3QotG3YiGNDqr72krRuYdumdXU2MzMzK2fo0KHLVT0BRo0axR/+8Aeqq6uprq5mypQpHHXUUQwePLiZomx+Tj6ttXsCWFfSdyWtK2k9SfuULIMtug04UdJWktYnXXN4a277LbAQqO9GO0j6jaTt8g2ENgCOB55qRKyd8/HfzxXWMxqxT70iYjjwM+AeSTtQ//lNJyVqHcofjc7APGCepJ2Bb9Qz9FnASZJOk9RNyY75GHWpL7aJwG65rRvww4bOHSAiJpGuyz0zv/8nkK6pNTMzM2uURx99lKlTp37iLrejRo1i4sSJTJgwgQkTJtC7d2+uvfZaTjnllGaKtPk5+bRWLS/B/BrwVVIV7S1SMlb270auFl4GjAJeIy39vCA3H0m6jnJu4Y63ny5zmPWBe4C5wAtADfDjRoQ7lJTczQBGk+4+u9Ii4mrSOd0PvEQd5xcRL+Uxp0qaVuZQF5CulZ0HXEK6oVFdY44izfsA0jLXGcANpLkfV8c+dc59ju0y4EngcdINpBprIKkKO4v0/v1fE/Y1MzOzVm7IkCEMGDCAzp2X/w69e/fuy6qe1dXVtGnThm7dulFVVdVMkTY/RTS0ks7MzIo232K7OPOCPzV3GGZmZtaMvv+tcvdVNEnjI6JfuTZXPs3MzMzMzKzinHyamZmZmZlZxbDmMEAAACAASURBVDn5NDMzMzMzs4pr29wBmJmtaXpuUOXrPMzMzMyayJVPMzMzMzMzqzgnn2ZmZmZmZlZxTj7NzMzMzMys4px8mpmZmZmZWcX5hkNmZk20aMY8Xrv6oeYOw8zMzCpsq5P3be4Q1iqufJqZmZmZmVnFOfk0MzMzMzOzinPyaWZmZmZmZhXn5NPMzMzMzMwqzsmnmZmZmZmZVZyTT7M1nKSQVF1m+/GS7l1FY7wsab9VcaxVpRiTpGskndHMIZmZmZlZPZx8mlWIpHMlDSu83kDSUkk/Kmz7kqQ3myfCypO0v6SnJM2VNFPS/ZJ65LYbJf1sVYwTESdFxKWr4lhmZmZmRVVVVcs92rRpw2mnnQbAiy++SL9+/ejWrRvdunXjgAMO4MUXX2zmiFsuJ59mlTMW2Kvw+r+AV8tsG7s6g1pdJHUB7gAuALoCfYG/NGtQZmZmZk1UU1Oz7PHuu+/SoUMHjjzySAB69+7NiBEjmDVrFjNnzuSQQw7hmGOOaeaIWy4nn2aV8ziwsaRN8uu9gCuA3Qt99gLGSuou6T5J70maLumPktYFkLRfXmJ6oaT3Jf1b0h7lBpT0zdy+ed60jqTrc+XxaUlbF/ruLGlMPuaTknYptO0h6QVJcyQNLhmjo6SrJL0taUo9y123AeZHxN0RsTQi5kXE8IiYKWkgMBA4X1KNpMvzsa+S9I6k2ZJGStq4kTEtq6JKOk/SNYW2YySNLpnLX+UxXpa0vaRzJM2S9JKkHes4HzMzM2vlRowYQa9evejfvz8AXbt2pU+fPkgiImjTpg2vvfZaM0fZcjn5NKuQiJgPPMvHlc69gAeBdyRtKakN8DlS5XMdUmLaG9gV2Af4duFwWwHvAT2BIcBlpeNJOg74JfCFiKhdyrs/MBLYABhHqkIiqXPefgnQA/gdcIekdpLWA27P23oCC/P4tS4FOgNbA3sCJ0n6Ypkp+DfQUdLVkr4gqVNhboYBw4BzI6IqIk7PTWOBbYGNgFk5PhoRU1NsBbybz/uBPA8fAr2AvwEXldtJ0omSxkkaN6tmzgoObWZmZmuyIUOGcNxxxyFpue1du3alffv2nHbaaZx99tnNFF3L5+TTrLLGAntLagdsAbwCPArsDewEfAS8EBEzIuIfEbEoIqYCf8p9as0Bfh8RS4Cb875F3wbOAj4fEVMK25+PiDvyfsML+30NmBARd0XERxFxK7AA2I2UUC6IiBsi4kPg18AiAEnrAIOAH0fE/Ih4C7gOOKL0xCNiDimJriIlmjOLFd1yIuKmiJgbER8AFxfmoM6YVsAc4Io8J3eQk+/8+nY+Obe1sV0XEf0iot8GVV1WcGgzMzNbU02ePJmHHnqIQYMGfaJt9uzZzJkzhyuvvJJdd921GaJbM7Rt7gDM1nKPkJLCz5CSvZD0KPBFUvXw0YhYmiuRfwS+kLe3BR4qHGdGRER+vgDoWDLOD4FfR8TbJdunF54vAGqrj5sCX5A0u9DejlRxbAcsS2AjYpGk2uP0ANoD/y5849eGVNH9hIiYCBwLIGk34DbgBeCqcv0lnQMcT6pCAtQmqtX1xNRUxbn8AJgZEUsLrzuV383MzMxas6FDh7L33nvTt2/fsu2dOnXipJNOomfPnrz00kv06tWrbL/WzJVPs8oaS6qkHUhKRMl/7pUftTcbOoO0NHaniFiflLAuv56jfgOAn0g6tJH9pwL/jIiuhUfHiLgDmAbUXqdKrtrW/tdzJmnJ6+aF/TpHxGENDRgR40mVxh1qNxXbJe0LnEiaqy5Afz6eg/piKjUf6FB4vWFDsZmZmZk1ZOjQoWWrnkVLly5lwYIFTJ06dTVFtWZx8mlWQRHxDjAZ+D5puS25OtkBOICPk8/OpMrkHEl9ge81cajXgIOAqyV9oRH9/wH0k3SwpDb5JkIH5esyHwOqJA3KS2TPAtbLsS8lXXP6O0ldJK0jaYdc1VyOpO0k/UhS7/x6G+Bg4KncZTrQp7BLZ2Ax6drWKqB4wUSdMZXxPPB5Sb3yDYu+04j5MDMzM6vTo48+ytSpU5fd5bbWAw88wDPPPMNHH33E3LlzOeOMM+jWrRvbb799M0Xasjn5NKu8sUA3Pk66ICVT6xe2/Z60FHY2cCtwZ1MHiYjngMOBm+q6G26h7xzSdZ+nAzOA/wD/ndsWka7hPJNU6exISm5rnUGqLk4k3RTohnwupeaRrtl8WlINcC/p2s+huf1G0vWw70u6NLc/TkrWn6PwEzSNiKnoPuB+0s/a3A2MqG8uzMzMzBoyZMgQBgwYQOfOnZfbPnv2bL7xjW/QpUsXttxyS1577TXuvfde2rdv30yRtmz6+NInMzNrjE9vvm3c+bPrmjsMMzMzq7CtTt63uUNY40gaHxH9yrW58mlmZmZmZmYV5+TTzMzMzMzMKs7Jp5mZmZmZmVWcf+fTzKyJ1uvZ2deAmJmZmTWRK59mZmZmZmZWcU4+zczMzMzMrOKcfJqZmZmZmVnFOfk0MzMzMzOzivMNh8zMmui9+W/y1ydObO4wzMzMVptjP3ddc4dgawFXPs3MzMzMzKzinHyamZmZmZlZxTn5NDMzMzMzs4pz8mlmZmZmZmYV5+SzBZL0gqTP5ufXSDqjuWOqj6R7JR2fn98o6Wd19OsvafxqDa7CJJ0t6fIKjzFJ0h6VHKOOcRdK6pOfj5R0+OqOoTk013ybmZmZre2cfFZI/gfsAkk1kt6R9AdJbRqzb0TsGBFP5ecnRcSlKzB+G0lnSnpF0nxJUySNkLRbU4+1qkTEmIgoO76k4yXd25jjSBot6ZhVG12jxu0jaWFxW0T8OiJOX92xFGI6QtJESfMkTZP0d0nr5LZVNk8R8ZWIuH1VHKuxJIWk6pJty77oMDMzs+YxfPhwtt9+ezp16sSWW27JmDFjlms///zzkcSDDz7YTBFaS+WfWqmsz0fE45K2BMYAE4HVdZ/q64A9gf8GngLaAF8BvgysVdXHppDUNiKWNHccq4KkbYBrga8BjwMbAIc1a1BmZma2VnvggQc488wzueWWW9h999155513lmt//fXXGTFiBBtttFEzRWgtmSufq0FEvA6MBXap3SbpqlwRnZ2XNG5caFu27K92GaukDpLmStqk0O+rksaVjidpe+B44JiIeCQiPoyIDyLijoj4de6zjqQ7JU2XNEvSzZK65LY+ecnlybn9LUmHFI6/jaQncrVtCCmxLaqW9FCO905JHfN++0l6uaH5qm98SWcD/YEbc1X5jLx9f0lP5/kcVVguWnusUyW9A1yd5/TyOmLsLuk+Se/lsf8oad0c2khgvTxujaReks6TdE0h9h9KeiPve62kDnn78ZLul3R9HvNpSVs35vNQj52BlyLisUjei4g/RcTScvNU33ueYzhE0n8kzZT0g5L3ZFkVVSVLq/Pn88bCeT4g6c/58/GkpN55Hufkz03vRpxbg3IcV0h6LB97uKROhTgelDQ0x/G4pK0K+67IfJuZmbV65557Lr/85S/ZY489WGedddh4443ZeOOP/zd66qmnMnjwYNq1a9eMUVpL5eRzNZC0LSkReL2weSywLbARMAu4pL5jRMQHwD+BIwqbjwJuLdN9P2ByRDzXQGi3A32ALYENgbMKbe2ALYBN8vZrCm035Vi6kyq6+5cc90jgZGDjfPxjG4ijnLLj5+R5DHB8RFRFxKWSNifNw2k5ppHA/5Yca/scS21SVVeM6wBXAL2BXYF9gG/ntq8Ai/K4VRExvRiwpC8DPwG+BGxNmtdfFLrsn2PbABgHXFBoa9LnIXsa2E3SryXtJWnZf+XLzVNuKvueS+pFmrOTSHO+E2neVsR+wD9I5/k28GiOpTvp78D/W8HjlvNN4BTS+9gN+GVJHP+Xx70PGFZoW5H5NjMza9U++ugjxo0bx4wZM9hqq63YZJNNOPXUU/nggw8AuO2222jXrh0HHXRQM0dqLZWTz8p6QFIN8DLwGPDH2oaIuCki5uak8mJg70Yc71ZSwklONA6hfPLZHZhW+yJX6GbnituzefylEfG/EbEgIt4Hfl8Sg4ALI+JD4GZgQ0k9c0VxO+C3uaL6J2BSyfi3RMSLETEPuJuUyDRV2fHr6PtN4LZc5f2IlEjsJGmjwrHOi4hFeb7rjDEiZkTEP3LfqcCfaNx7A3A0cG1EvBoRc0jJZfGay+dz9XkJMJzCvKzI5yFX1A8gvR93AzMknVdP//re84OAxyPi/ohYCJxHmrcV8XxE3BkRi4G/AQsiYng+7ztZsc9DXW6PiKcjoga4kPSlQq03IuKG/Bn6NfApSZvBis23pBMljZM0bt7shQ11NzMzW+u8++67LF68mBEjRjBmzBgmTJjAM888w0UXXURNTQ1nn302l19e0fsw2hrOyWdlfRHoDBwK9MvPAZB0jqTXJM3l46pQQ0YCO0jalHTt5r8jYlKZfrOAZTdqiYjpEdGVlKyul8dvm5eevpljGFYSw6KImJv3XwIsBjrl407P/6CvNaVk/GJFcEHer6nqGr+cTYETcoI9G3gfWJdUvQT4MCJmNCZGSZ3zUs2peV5+Q+PeG/J4xbl4k1RZq3fMPO6KfB7ICfeA3P8w4AeSyn7d2MB7Xg28Veg+FVjamBjKKJ7nB2VeN/bz8BGfvC59XdJnoVYx5iksP9/L3ouIWJTj2AhWbL4j4rqI6BcR/Tp3bd/IUzAzM1t7dOjQAYDTTjuNjTbaiB49enDGGWdwzz33cO6553LsscfSt2/fZo7SWjInnxWWr8X7G/AA8HMASfsCJwIHAl1IS3IbrDLlitQ/SEtvj6R81RNgNLCZpPoqTAPzuHtGxPr5dWMqXdOAXoXrICElf6tTlLyeClwdEV0Ljw4RMb6O/vU5g7RcdKc8L2fx8bw0dJy3WX4uNgPeqaPvMiv6eSjKn7N/Af8Cdqgj3vre82mk5ba1Nqbu/z7MBzoUXm/YlFibYAqwecm2zVk+wS/GvCmFin+xLa8U6AVMWxXzbWZm1hp169aNTTbZBOmT/9scNWoUf/jDH6iurqa6upopU6Zw1FFHMXjw4GaI1FoqJ5+rz/8A35HUg1QBXQy8B1QBZzfhOLcC3wIOBm4r1yEiXgT+CgyvvRYw/+O7+DMnnYGFwPv5er9G/ZZorrS+ApwpaV1JJ5CuIVydppeMeRNwdD5XSVpf0oAVPHZnUlVyjqS+wPcKbTOBdir5+Y+C24ATJW0laX3S9Z51fUFQOmaTPw+S9pb03/kzhdLP6OxDursxfHKe6nvPRwJ7SjpA0nqkayfrSrafB74mqUrp5lZHNSbeOs5hkqT96mgeAZwjqUf+rJ1MqoQ+WegzQNIukqpIX+4U/05sIWlQ/qLkLOCFiHiTlfv7Z2Zm1qqdcMIJXHHFFUyfPp3333+fyy+/nK997WuMGjWKiRMnMmHCBCZMmEDv3r259tprOeWUU5o7ZGtBnHyuJhHxMvAQ8EPgXtJPY0wGniPd/KSx7iXdLObliJhcT7/vkG4gcyMwG3gN2IuPb6wzFJgHzCBVSkc2IYaBpCW8s/j4pi6r0x9JSd5sSadHxBuk6z4vIS25fZF0DeOK+D2pgjablDjeWdsQEfNJXyJMzGP3Ku4YESOBy4BRpPl+k+VvKlSXFf08zCZVwF+WNI+0jPaXEfFQbl9unqjnPY+Id0mfjetJleQXgOLS6qKhpOrj28DVNC7B/oScFFaRfoKonPNI8ziBlEgfBRySVwDUujnHMJV0bsX5Hk26JnYW8FXSlzawcn//zMzMWrVf/OIXfPazn2WbbbZh++23Z9ddd+XnP/853bt3X1b1rK6upk2bNnTr1o2qqqrmDtlaEEU0ZUWirQ6SJgOHFZaNmq11JO0OfDsivtdg5/L730j6Eua3ZdqOJ/3U0IErFWQd+m7fMy640T+pamZmrcexn1tdP1VvazpJ4yOiX7m20pt5WDOT1B3owSdv4mO2VomIJ1l+Ca2ZmZmZrcW87LYFydfPvQr8vvQ3JM3MzMzMzNZkrny2IBHxEulOq2bWgIg4vp62G0nXO5uZmZlZC+Hk08ysibp32tzXvpiZmZk1kZfdmpmZmZmZWcU5+TQzMzMzM7OKc/JpZmZmZmZmFefk08zMzMzMzCrONxwyM2uixfNf5e0nD2ruMMzMbA3Re/d7mjsEsxbBlU8zMzMzMzOrOCefZmZmZmZmVnFOPs3MzMzMzKzinHyamZmZmZlZxTn5NDMzMzMzs4pz8mnWSJJCUnUdbddIOqOOtmMkjV6d8bQGkl6WtF9+Xuf8m5mZmVnL4OTTWgxJkyTNlrReYdvGkj5qavIm6WFJb0hSE/c7UdJESfMlvSnpT5J6N7RfRJwUEZc2ZazWQNL+kp6SNFfSTEn3S+qR226U9LNVMY7n38zM1gT77bcf7du3p6qqiqqqKrbddlsAhg0btmxbVVUVHTt2RBLjx49v5ojNVi0nn9bSzACKP6B4NPB6Uw4gaTNgT2AD4L+asN85wLnAj/O+nwKeBfZuyvhrEknrSKrIfwckdQHuAC4AugJ9gb9UYiwzM7M1xZVXXklNTQ01NTW88sorAAwcOHDZtpqaGq666iq22GILPvOZzzRztGarlpNPa2luBr5ZeP2NvK0pvgk8BNwODGzMDpK6AmcDJ0fEfRGxKCLmRcQVEXFroethkiZLmi7pe4X9l1XxJLWV9EdJsyQ9D+xY6LeOpDvz/rMk3ZyTNCT1kbRQ0im5fbKkfSR9W9I7+fW+JaEfLWlqfnynMM7XcwV3nqRXJB1aEusfJD0EzAd6S/qupFdz/wmS9i70Hy3p/Ly9RtJgSVvliuZsSZfUMa3bAPMj4u6IWJrnc3hEzJQ0ML835+djXp7Huiqf62xJIyVtXIhjD0kvSJojaXDJ+1ec//MkXVNoW7bsWdJ+ebnur/IYL0vaXtI5+f14SdKOmJmZNaMhQ4Zw3HHH0cQFXGYtnpNPa2nuB/aQ1FnS1sC6wEtNPMZA4BbgVuBISes2Yp8981j/bKDf3sB2wOHAZTlpLXUysAewLfB14Fsl7bcDfYAtgQ2Bswpt7YDNgI2BPwDDgE8DmwO/AS4vOdYBeZxDgN8VEqc5OcYuwE+BoZK6F/Y7BjgdWB+YBrwNfJ5UofwTcLOktoX+A0gV6U8BpwDX5G07AsdL2rnMPPwb6CjpaklfkNSptiEihuVzOzciqiLi9Nw0Np/PRsAs4BKAvBT7duB3QE9gIbBVmTEbYyvgXaAH8AAwEvgQ6AX8Dbio3E55SfY4SePem/3hCg5tZmat3VlnnUWPHj3Ya6+9GD169Cfa33zzTR5++GGOO+641R+cWYU5+bSWZgkpATyMVMFsUtVT0k6k5PAO4EFAwJcasWt3YGZEfNRAv8ERsSAixgAzga3L9DkcuCQiZkTEf4A/1zbkCuD/5mO8D/ye5Zf1CvhVRCwmJVubAL+OiA+BEcCOJctkfxMRNRExPrcfnscZHRGv5PH+Rlq6vGthv9si4pmIWBwRSyLinxExJSI+iogrgU6kBLnW9RHxdkRMAsYD9+f+U4HHgZ1KJyEi5gD7AFWkRHNmrgjX+WVARNwUEXMj4gPg4sLc7AksiIgb8lz8GlhU13EaMAe4IiKWkD4nPYDf5de3lzuXHNt1EdEvIvp179puBYc2M7PWbPDgwfznP/9h6tSpnHjiiRx88MG8/vryVxcNHTqU/v3707dv32aK0qxynHxaS3QTabnt0TR9ye1A4MGIeC8nE3fRuKW37wE9JLVpoN/0wvMFpCStVDXwVuH1lNoneUnu5flmRnNJSVmxIrkoIubm5x8ARMT0wut1SdXRWqXjbJTH2VvSo3kp6WxS9bR7Hfsh6VBJT+elqLNJFdBi/+J5f1Dmdbl5ICImRsSxEVFNSiS/Any3XN8cxzmSXstzM6YQQzWFeYyIRSUxNMWMiIhC7DMjYmlD52JmZrayPve5z9G5c2fWW289Bg0axF577cU999yzXJ+hQ4cyaNCgZorQrLKcfFpLNAbYAZgVEZMbu5PShRHfAPpLmiZpGnAU8PXiks86PEaquh7UQL/GmEaqWNbatPB8INAf2DMi1s+vV+aCjtJxpuXnfyVVXDeMiK7A8yXj1CZftUtabwbOBLrn/rNXMq5PyNXZO0jv7XIx5Dj2BU4EDiQtF+5fiGG5OZXUjrRMtpz5QIfC6w1XNnYzM7NKkMTH34fCI488wttvv80RRxzRjFGZVY6TT2txclXqa8AJTdx1H9Jdaj8N7JIf25DuoHtoPfsREbOBXwFXSfqipHaSOkk6WdJRTYzjDuAMST0k9QX+u9DWmXS94vuSegEr+9uUZ0qqkrQrcARp2WjtODOBjyR9g3StZl3WI1VTZ5By+J+Skr+VImk7ST9S/qkaSdsABwNP5S7TWX5pb2dgMakKXUW6AVStx4AqSYPyst2zctzlPA98XlKvfMOi79TRz8zMbLWZPXs29913HwsXLmTJkiUMGzaMhx9+mC9/+cvL+gwZMoTDDz+czp07N2OkZpXj5NNapIh4PiJeLdeW73jav0zTQODmiHgjIqbVPoDrcxv5zqqb1THmRaSbzVwOvE+60dGupEpsU1wNjANeBf5OWlpbaygwj5TojSbd7GZl/At4hXSd7JkRMTFvPy3HMYuUlD9W1wHyMt//B4wC3gHaU1jiuhLmkZbaPi2pBriXNBdDc/uNwN6S3pd0aW5/HJgMPEe6+VBtjItIyfWZpKS6I/BaHePeR7px1avA3aRrYc3MzJrV4sWLOeecc+jZsyc9evTgiiuu4K677lr2W58LFy7k1ltv9ZJbW6upWOo3M7OG7bx9lxg5ZK/mDsPMzNYQvXe/p+FOZmsJSeMjol+5Nlc+zczMzMzMrOKcfJqZmZmZmVnFOfk0MzMzMzOzimvb3AGYma1p1u20ta/fMTMzM2siVz7NzMzMzMys4px8mpmZmZmZWcU5+TQzMzMzM7OKc/JpZmZmZmZmFecbDpmZNdGimpm8NuaG5g7DzMxakK36n9DcIZi1eK58mpmZmZmZWcU5+TQzMzMzM7OKc/JpZmZmZvb/2bv3OKuq+v/jr7eow2WGi4AiXoAy75fSMc0ralaYJoGmgiFqkpla+u1XapSXyLTy9hXF1PoKiZiFt0pFrS9Jliao3zQVRQMFJO6XEUed4fP7Y6/B7XjOXJAzh8v7+XicB3P2Wnutz94zIp/5rL2OmZWck08zMzMzMzMrOSefZmZmZmZmVnJOPs02UJJuknT+GpzXS1KUIqa1SdKJkianr7eXtLDMIZmZmZlZE5x8mpWZpJmS9k9fbyHpdknzJS2T9E9Jg4ucd5ukdyTVSFou6TFJuza0R8SZEXF1W11HkRgrJI2W9KakFZKmSzortfWVVLs25omI1yOix9oYy8zM7KPo378/7du3p7KyksrKSnbaaafVbStXruSss86iR48edOnShUMOOaSMkZq1PSefZuuWa4F3gY8D3YHTgMVN9L84IiqBbsBk4NZSBieptZ8N/H2ya9kD6AJ8GXh9bcdlZma2Lhk9ejQ1NTXU1NQwffr01cdHjBjB4sWLefHFF1m8eDHXXHNNGaM0a3tOPs3WLfsAd0TEioioi4ipEfG/zZ0UEfXAncAuDcdSZfSC9PUlkn4t6d5UgZwsactc3xGS5kqaDXwlP7akkHS2pJnAA5I2kXRPqs4uljRBUpcmrmdiRCyMiFUR8UJE/CG1PQhUpMptjaQtJX1G0tRUyZ0p6eu5ODaVdEOa8zlgt1zbB6qoKeZeufcvSeqfvp4s6VJJz6Z5r5S0g6SnJC2VdFVz99vMzKy1pk+fzv3338/NN99Mz549adeuHfvss0+5wzJrU04+zdYtTwJXShoiabuWniRpM+CkdH4xA4GfkVVUVwLnpXP3AK4EjgZ2Bj5f4NzDyaqXx6b3E4G+ZFXNrYALm7ieCySdLukTjdoGAO9ERGV6zQfeA0YAXYETgZ/nlhJ/A9gf2CnFcXIT19qcQcBRwO7AN4Gb0rHdgOGS9mp8QkrQp0qaunhpzUeY2szMNnQXXnghPXr04MADD2Ty5MkAPPnkk/Tp04eLL76YHj16sMceezBx4sTyBmrWxpx8mq1bzgbuA74HzJT0hKRdmuh/saSlQA1wDvCjJvo+EhGPR8S7wO+APdPxwcBvI+LpiKgBflLg3J+kauzbqYJ5e0SsjIglwHXAQUXmvBy4niyhfEHSi5IOKBZgqvQ+neZ4AngUaOg/GLgqIhZExGvAL5u41ubcEhFzI2ImMA14OCLeiIg5wBO8f2/ysd0cEdURUb1F18qPMLWZmW3IrrzySl577TXmzJnDiBEjOOaYY3j11VeZPXs2zz//PF26dGHu3LmMHj2aU045hRdffLHcIZu1GSefZuuQlNBdFhF7AVsCLwJjmzjl0ojoCnQAhpEti+1dpO/83NcrgU7p617A7FzbGwXOXd2elr9eK2mWpOXAeLJqaqHrqYuI6yJiP2AL4G7gbkkF/+6RtJukRyQtkLQM+GJu7JbE2VL5e/F2gfedMDMzWwP77bcfVVVVVFRUcMopp3DggQfywAMP0KFDBzbbbDNGjhzJ5ptvzqGHHsphhx3Gww8/XO6QzdqMk0+zdVRELAKuAnZtQd9VEXE/2WZFRSuLRcwDts29L7TcN//RK0OBg4HPRETn9F4tiHEFWVV1K7JEtNDHuYwG/gpsHxFdgD/mxm5JnA1WkiXkSBJZIm9mZtbmJBER7LnnhxbVmG10nHyarUMkjZS0t6TNJHUCvg481YLzJOmLZEnd9Ob6N3IPcLykT0qqJFvy25QqoBZYkjYtKvpZopK+JekgSe0lbU62rHhmRCwEFgKb5zcGSmMvAWolHQZ8Ltd2N3C+pB6S+pHtBFzMc8CJktoB3wI6N3NNZmZmH9nSpUuZNGkStbW11NXVMX78eB577DE+//nPc8ghh7D99tvzk5/8hLq6Oh5//HEmqd7YHQAAIABJREFUT57M5z9faKsFsw2Tk0+zdcsmZMtYFwP/BrYBhjfR/1JJNcAKsirp6RHxXGsmjIj/Ay4i2332JeCRZk4Zl+ZbQPbxLg820beWrJo5H3gTOIJs4yMi4i2yDZCeT7vMbkmW+H4LWA6cRVb5bDAGmAq8AtxPdp+KOY8sOV1I9jE0M5q5JjMzs4/svffeY+TIkfTs2ZMePXpw/fXXc++997LTTjux2Wabcd999/HAAw/QpUsXzjjjDMaNG8fOO+9c7rDN2owiCq18MzOzYvbYuW/cc8vF5Q7DzMzWITscfGq5QzBbJ0iaFhHVhdpc+TQzMzMzM7OSc/JpZmZmZmZmJefk08zMzMzMzEpu03IHYGa2vqmo7OFne8zMzMxayZVPMzMzMzMzKzknn2ZmZmZmZlZyTj7NzMzMzMys5Jx8mpmZmZmZWcl5wyEzs1ZatmwZf/jDH8odhpnZOufoo48udwhmtg5z5dPMzMzMzMxKzsmnmZmZmZmZlZyTTzMzMzMzMys5J59mZmZmZmZWck4+zczMzMzMrOScfJqViKQaSVuWO448Sf+StO9HHKO/pJfWVkwfIY79Jc3MvV/n7reZ2cbulVdeoX379px88skAjB8/nsrKytWvjh07Iolp06aVOVIzawtOPm2DJukwSU9JWi5poaSHJfVoi7kjojIi5heIqa+kkPRQo+MnpeOXlDCm3SLiqVKN35gyl0p6Q9IKSa9JujTXHpJ6rY25it1vMzMrn29+85vsu+/7v/McOnQoNTU1q1833ngjH/vYx9h7773LGKWZtRUnn7bBktQFuBu4DOgK9AN+Vdag3vcusKOknrljJwGvlCmeUjkVOAY4EOgMfBZ4oawRmZlZm7jzzjvp2rUrRxxxRNE+Y8eOZdiwYUhqw8jMrFycfNqGbEfgrYj4fUSsiogVEXFnRCwEkHSspOdTRW66pIHpeKe0hLN9en+HpNXrgSS9LGkPSZtIukfSfEmLJU1ICW9Dv6aqegH8DvhK6tsN2AuYnDu/u6RJkhalOW6QtFlq6y/pJUk/krQkxbR/atsk9V2Y2v6WO29mrt9kSRdLekbSUkm3KP3fX9Jmkm5K5z8n6TJJk8kpNHcB+wAPRMTrkXktIn6Tzn8w9Xk13e99JX1C0pQUz5x8lTSdc7GkBZJmAIc2alt9v/PXmd4/JGl4+vo2SdeleWok/VpSL0mPSlomabykdkWux8zMWmD58uX88Ic/5KqrriraZ9asWTz22GMMGzasDSMzs3Jy8mkbspeBjpLGSDpCUqdG7cuAwUAX4LvAOEndI+It4EXg06nfp4EekqrSM4U9gX+ltolAX+DjwFbAha2IbwJZtRPgOOAeYFWufRPgeqA38CngEOD0XPsOwKIUz1jgmnT8cynmfkAP4PxG4+YdR1aZ3Ak4Kp0L8A2gGvhEaj+p0XnF5m7sSeAMSeemhH31r7YjYkD68uNpyWzDcuDvp7iPSOd+AUDSMcBpwH7AZ4Dji8zZEscBZwB9yO7rH4FvA9uTXffRjU+QNELSVElTly1b9hGmNjPb8P3gBz/g9NNPZ7vttivaZ9y4cRx88MH069evDSMzs3Jy8mkbrIhYRpZYVALjgYX56mFETI6I6akqeh/wKlmSB/BX4GBJ2wELySqSBwAHAX9L56yKiNsjYmVELAGuS+0tje8ZYAtJfYAhZMlovn1BRPwhIt6JiDnArY3GXwZcFxF16dw90/H3gCqyyu+qiHgiIuqLhHFLRMyOiP8Af8qNMQi4OiIWRsRM4H8anVds7sbXOI4ssR8E/AOYJenYJu7JKxHxWETURcRLwG9y1zwY+EWqni4Ari02Tgv8JiJeiohFZN/bJyPi+fQz82ih64mImyOiOiKqu3Tp0rjZzMySZ599lkcffZTzzjuvyX7jxo3jlFNOaaOozGxdsGm5AzArpYh4HvgqgKR9gN+SVS1vlHQQ8FNgZ7JfxFQC3dOpfyWrjP07fT0dOBjomN4jaVPg58CXgW5pjDdaGeKdZJXJbSLiSUmnNjRIqgJuIKsAVpH99/qX3LkLIiLS1ytTbETEnyTdQlaR3ELSzRFxSZH58xv0rAQaqsO9gNm5tjmNzis4dyERMRYYm5Yxnw5MkLRdSvw+QNI2ZNe8P9ABqOD9xLcX8Odc99be67z8db9d4H3jKrmZmbXQ5MmTmTlzJttvvz0ANTU11NfX88ILL/D0008D8PjjjzN37lyOO+64coZqZm3MlU/baETENLINiHZNh34N/BLYKiK6As8BDctCp5At7Tw0fT2FrAJ3ECn5BIaSJaSfiYjO6X1rd0yYAJwD3FWg7XxgC2DPNP6FLR0/Iq6KiN1TfKdJOrKVcc0Dtsm936ZYx5aKiNqIuIEsWS22xmoUWSK4Y0R0Acbw/jXPA7bN9S2+lgveIkteG2y1RkGbmVmrjRgxgldffZVnn32WZ599ljPPPJMvfvGLTJo0aXWfsWPHMnjwYKqqqsoYqZm1NSeftsGStLOk8yT1Tu93JHt+seHZwiqyJbX1kk4Cdm84N31kx3zgRODxtAS0H1nimj+/FliSngU9v7UxRsQrQH8KLyGtIkvUlknqB3y9JWNKqpa0T9o0ZwVQn16tcTdwXtr0qA8wvJXnN8RyiqQvpE2c2kk6mayCOz11mU/2zGyDqhTzCkl78cFnTe8mewa0r7Jdgs9tYurngK+kOQeR+96amVlpdezYkV69eq1+VVZW0r59e3r2zDZ4r62t5a677vKSW7ONkJfd2oZsBVml8nuSKskSnduAcan9HLLK2liyCuTfG50/Bdi/YXdcYBpZlbQ2vR9HtjHNAuD19H54a4OMiMeKNF1HVhFdSrYB0j1ku8c2p0s6ty9QA/wqIv7c5BkfNoYs0Z5Btvx2IrAmH8K2ArgE2IVs06MXgYERsSK1/xi4T1IF2cewXEb2fO4K4AmyhHMTgIi4X1I1MJXsntxCtjFSIReTLWlekv783zWI3czM1oJLLrnkA+/bt2/P0qVLyxOMmZWV3n9sy8ysMEk/BPpFxKnNdt4IfOITn4hrrim2wa+Z2cbr6KM/tFm4mW1kJE2LiOpCbV52a2Yfkj5W5oj0maG7kS35vb/ccZmZmZnZ+svLbs2skE2Aq8g+53MJ2RLXe8sakZmZmZmt15x8mtmHpM+7/GS54zAzMzOzDYeTTzOzVurSpYufazIzMzNrJT/zaWZmZmZmZiXn5NPMzMzMzMxKzsmnmZmZmZmZlZyTTzMzMzMzMys5bzhkZtZKs5ct4r8eHFfuMMxsHXXVgGHlDsHMbJ3kyqeZmZmZmZmVnJNPMzMzMzMzKzknn2ZmZmZmZlZyTj7NzMzMzMys5Jx8rkckhaReZZx/sqQTyzV/cyRdJOnaFvQr630sJUk1krZs63PLQdJLkvqnr2+SdH6ZQzIzMzOzJjj5bCOSZkpaKqkid2wbSfWSJpcxtLVC0nBJD63lMXtIulnSPEnLJf1T0jnF+kfE5RHx7bUZQy6WSyTd1IJ+h6fkdngp4mhORFRGxPzm+km6TdIFa3Jua0g6TNJT6fu3UNLDknoUi2FNRcSZEXH12hjLzGxtOfnkk9l6663p3LkzO+64I7feeuvqtrvuuotddtmFqqoqdt11V+69994yRmpm1jacfLatBcBRufcnAK+2ZQCSNpHU5t93Sa36WB9JHYD/BbYCDoiIzsBg4JC1MX4JDQWWpD83apK6AHcDlwFdgX7Ar8oalJlZG7rwwguZOXMmy5cv5/7772fkyJFMmzaNOXPmcPLJJ3P11VezfPlyfvaznzFkyBDmz1+rv/8zM1vnOPlsWxOAIbn3J6Vjq0m6UdKbqUr6oKRtGo3xZUmvS5ov6eu5846V9LykFZKmSxqYa7tN0n9L+gvwFtBb0hmSXkn9n5V0UK7/GZLeSNWqf0naKzf/TpKeSfHdosz2wE3AZ9PSzWlpnJmSvitpOvB8C6+vwTCgO3BCRLwGEBGvRMTxaZzhkh6R9EtJy4ETG1cnJZ2QuyfPSdqp8SSShkh6WVIfSR1TfHPT9Z+f+hwMXAScnq7vnkIBp6r2YOAc4LD80l5JB0j6vxTL65JOaeZ4O0k/ljRb0pz0dbvceOem799ySf+Q1D0dX72kuNj3WNJQsuT40nQ91xY4t4+kSen79H+SDsvNPVPSf6X7tljSZUW+hzsCb0XE7yNiVUSsiIg7I2JhEzEU/fmQtH/6eVwm6cpG9351FbXAz8GJSqsLJPVXtlz3x2mOlyTtImlkupYXJe1W5HrMzFplt912o6IiW/AkCUm8+uqrzJ49m65duzJgwAAk8cUvfpFOnTrx6qtt+vtoM7M25+SzbT0M7C+pStIngM2AFxv1+SuwE7A1sBi4qlH7QcDOZEnONZK6puPL0rEuwHeBcQ0JSXIi8G2gMzAPmAscTlaRuhWYIGlTSZVpzv6p2ngsWcW2wXHAMSnGo4DPRcTrwJnAo2np5j65/gNTzJ9q4fU1OByYFBG1RdoBDgMmp2v4Xb5B0oHA9cAZ6ZqPB5Y36jMM+CFwRETMAq4GqoBPAJ8BzpR0ZERMAS4Hfpmu78tF4jkaqAHuAKaS3fMGVwNXREQVsHdqb+r414AvAtXpdQxweop7KHA22femK9m9f7dAPAW/xxExHhgPXJyup9BS5QnAP4AtgZHAPUrLZZOjgP2A/YH/krRzgTFeBjpKGiPpCEmdGhqaiKHgz0dK7CcCPwd6ArXADgXmbIkdgP8APYBHgAfJ7t+WwH3AqEInSRohaaqkqSuXr1jDqc1sY3PWWWfRsWNHdt55Z7beemuOOuooqqur2WWXXbj//vupr6/n3nvvpaKigj333LPc4ZqZlZSTz7ZVB/wR+DJZBXRC4w4RcUdELI+It4GfkiVueVdGxMqUEC0kS5SIiMkRMT1VmO4jW877qdx5v42IZyLivYioi4g/RsQbEVEfEaOBTkBfINJrV0mbR8SMiJibG+eWiJgdEf8B/gQ093/KayJiQbqellxfg+5kSXJTpkfEr9M1N05ShwNjIuLvkXkpIt7MtZ8OXAgcHhFvKFuKfArwXxHxVkTMBm4mS7ZbaihwV0QEcBcfXHr7HvBxSV0jYmFE/KuZ4ycAP4+IeSnun/N+Mjsc+ElEvJCu/emI+FA21MT3uEnKKtl7AT+KiHcj4vfA03xwyfh1EbEkIl4GpgF7FJh/Gdky6UqyRHOhpBskbVZs7iZ+Pj4DrIyI/4mId8l+GfBOc9dSxDLg+oioI1sW3IPsXteRJbgFf6Yj4uaIqI6I6o6dq9ZwajPb2Nx4442sWLGCKVOmMGjQICoqKmjXrh3Dhg1jyJAhVFRUMGTIEH7xi1/QqVOn5gc0M1uPOflse3eQLbc9gQLJZ1r+NyMtJZ1CloTl5R8IWUmWUCDpIEl/S0sHl5IlA/lzZzeaZ6Ckp9PSw6Vk1bHuEfEWWWL8HeA/ksZJ6tbc/E1oPG9z19dgEdDcjrSzm2jbFvh3E+3fAn6RS6x7AO2Bl3P35GKyalizUgX6KOA36dBdwD6SdkzvzyD7ZcC/Jf1Z0h7NHO8NvJGbYhZZNbAl19YQU8HvcQsupzcwPyV5heaHFv4cRMTzEfHViOhFlkgOILvmYjEX+/noRe5+RMQ7jWJojQXpFwQAbwMLI2JV7r3/9Wdma1W7du046KCDmD17NmPGjOHRRx/lu9/9LpMnT+bdd9/lL3/5C1/72td49tlnyx2qmVlJOflse1OAXYHFabnqapIOBUYAXyBbPnswoBaO+2vgl8BWEdEVeK7RuQ3/2G5YwjgB+B5ZwtkVWNrQP1XMDiXbIKY7WSLanGjueCuv78/A55TbHbgVc0KWqPRton0Q8B29/2zsQrKlnH0iomt6VeWW2DY1F2QV0grgPknzeH/57BCAVHkdTJbMPkb2jGzR42RLZrfLjb890FC5be7amv0eN3M9c4EtJW1eZP41EhHTyCqNuxaKoZmfj3lkSXdD380p/ouBt4AOufdbfZS4zczWlrq6Ol599VWeffZZDjnkEKqrq9lkk03Yd9992W+//Xj00UfLHaKZWUk5+WxjqeJyNHBqgeYqsmWYi8iWKl7UiqGryBKoekknAbs30bcC2JzsWU5J+i7ZP/aRtJWkL0pqT1YFqgXqWzD/fGBb5TbFKRJjS69vHNkzfxMk9UuxfUzSb5o4J+824BuS9lNmJ0n5yt0MskrlGElHpMrXWODnkroo2xV4V0kNz6/OB/o0Md9QsmWin8y9zk3HGzY26ka29LqGdE+LHQd+S/Ys5VbKNgH6Dlk1teHaLpS0c7q2vSU1Xgda9Hucu56+hS4k/VLkOeD7kjaTdBTZc6cPNHH9H5LiO09S7/R+R7JnV58qEkNTPx9/ByolnZKW7V6YrrGQ54DDJW2pbMOir7UmbjOztWH+/Pnceeed1NTUUF9fz6RJk5gwYQKHH344++67L1OmTFld6XzmmWeYMmWKn/k0sw2ek88yiIjnIuKVAk0PAU8ArwP/JNt8paXOAcaQJWyHkP1jvdj8y4H/R/bM5ptky00bljRuAlxAlhg0VLqKbQqU92eyitlCSf8o0qfF15ee+TuMLBF5Ii3DvIesctysiPgbcB5ZoracLJnr3KjPP8k2abpD0v7A+WRVs+fJ7uP/5M65G9hC0hJJjTc32pZsSekN6RnNeRExj+xjRXpK+jTZ5kGv8P7GUA2fV1rs+M1k9+sZsuctHwBuSXHfQfa9fiBd241km1flr62p7zHpvhyUrqfQ52OeBBxAlrxeAQyKiIUF+jVlRbovT0uqSdcznuwXC4ViKPrzkZbZHkdWyV0IdCT7BUIhk8g293oF+D2NNqMyM2sLkhgzZgzbbrst3bp14zvf+Q7XXnstxx57LIceeiiXXHIJxx13HFVVVQwePJiLLrqIz33uc+UO28yspPT+o09mZtYSvT7RL4b+96XlDsPM1lFXDRhW7hDMzMpG0rSIqC7U5sqnmZmZmZmZlZyTTzMzMzMzMys5J59mZmZmZmZWcpuWOwAzs/XNtl26+5kuMzMzs1Zy5dPMzMzMzMxKzsmnmZmZmZmZlZyTTzMzMzMzMys5J59mZmZmZmZWct5wyMysleoWzGb+mO+WOwwrgS2/8dNyh2BmZrbBcuXTzMzMzMzMSs7Jp5mZmZmZmZWck08zMzMzMzMrOSefZmZmZmZmVnJOPs3MzMzMzKzknHyalZGkiyRdm77uL+mlcse0LpP0kKTh5Y7DzMzMzFrPyaetFyTNlLRSUo2kRZIelfSlVo5xm6R3JK2QtFzSVEnnS9pU0h5p3G1y/btImivp0AJjTZZUm+KZL+nXkjo3M39fSbX5YxFxeUR8uwWxV0gaLenNFP90SWe15vpbolCMrTxf6Xs1eS2GZdamRo8eTXV1NRUVFQwfPnz18fHjx1NZWbn61bFjRyQxbdq08gVrZma2HnHyaeuTwyOiEtgZ+C1wu6QzC3WUVOwzbC+OiCqgN/B94BvA7RHxHPAL4L9zfX8CPBgRfyky1vAUzyeBT6XxSuX7wMeBPYAuwJeB19fmBE3cs9Y4COgGHChpu7Uwnlmb6927NyNHjuS00077wPGhQ4dSU1Oz+nXjjTfysY99jL333rtMkZqZma1fnHzaeiciFkTEL4AfAqMktWuo2Ek6W9KbwJhmxqiJiEnACcBXJO0F/AjYS9LRkvYDBgH/rwXxzAUeBHaT1F3SpFRFnS/pBkmbpa4PAhWpWlojaUtJl0i6qQWXvQ8wMSIWRsSqiHghIv4A7y/XlfRTScskPS/p0w0nStpT0t8kLU1/7plri3TPZgIPFInxS5JeSRXXGZI+10ScQ8l+MTAFOCnfIOmEFNsKSc9J2ikd/4Gk11M1+q+Sds2ds6OkJ9M5Y4F2ubZNJf1I0qxUEb5SUrvUdomk2yXdn65jkqSeku5K80ySVJX6vizpwNy4u6fxVs9lG5dBgwYxcOBAunfv3mS/sWPHMmzYMCS1UWRmZmbrNyeftj67D+gO7JTebw7sAvQFzm3JABHxNPAGcGBEvA2cCYwmq4L+V0Qsbm4MSdsCRwHPkv03dT1ZZfVTwCHA6anrAOCdiKhMr/ktiTF5ErhA0umSPlGgfQegBugJXAtMlLS5pM2B+4HbUtuvgfvT8QaHk1VUjy0S483AsFQx7g+8WuQ+bAYcD/wGuAsYkms7MN2XM4DOqd/y1PwCWXLdHXgc+FVu2DuAP6a2KcBhubbvAPsDewO7klVd86WqgWTV6y2BLdLYo9N9aJ/rewcfTJRPAu6KiPpG1zciLdWeuqjm7UK3wDYis2bN4rHHHmPYsGHlDsXMzGy94eTT1mdvpj+7pT8FXBIR76REsjXjdAOIiEfJEr1lETG+mfN+KWkp8Dfgr8DlqSr7hxTDHOBWsqToo7qcLHkbAbwg6UVJB+Taa4ErIuLdiLgVeIcsMdsfqIuImyPivYgYA9Sn4w1+EhErmrhn7wG7SOoYEbMjomDySZa41gN/BiYCu0vaLbUNB8ZExN8j81JEvAkQERPTfXsvXee+KXHuS7bEOn9dM3PznQp8PyIWRcQS4BrguFz7w2m+lWRV3RkR8VhEvAP8AWioAI8HjstVOk8AJjS+uHQPqyOiuntlhyK3wDYW48aN4+CDD6Zfv37lDsXMzGy94eTT1mdbpz+XpD/fjYgFazjOktz7F9OrOadHRNeI2D4ivh4RKyVVSRonaY6k5WSVt6bX7rVARNRFxHURsR9ZFe9u4G5JDf8Nz4+Id3OnvJGuq3f6Ou913r93ALObmf749Jor6b4mnuUcSrY0uD59HyanYwDbAv8udJKkMyS9IGkZMIvs76VuQK8i19VgO+CRtJx4KVnFtGeuPV9ZfrvA+04AEfEK2T05PC1X3iQinihyjWZAlnyecsop5Q7DzMxsveLk09ZnXwIWAdPT+2jtAJI+RZbE/G0txXQ+WXK4Z0R0Bi4kq8iuUXyFRMQKsqR2qzQXwJa5Z0shu6Z5wFyyxC9ve96vGjeO60MxRsQTETGALJGdD1zRuE96fvIYYIikeZLmAZ8BTlL2QNwbZMuhG5/XF7gaOBnoCvRpaErxF7quBnOAg9MvALpGROeIWNOdX8YDJ6bXnWs4hm0kHn/8cebOnctxxx3XfGczMzNbzcmnrXfSpj5fAy4j2722vrlzCozRSdKRZInGxIh4di2FVwWsBJZJ6gd8Pde2ENhcUq/WDirpW5IOktQ+Pa95NjAzIhamLu2B70naTNKp6f3fgSfSnF9LG/R8Hdg0HS/kAzGm5a8nSqokW8q7kmxpbWODgP+QPX/7yfTanawSeQDZM6ffkLSfMjtJ2hqoBFYBC8ie2b20YcCImEn2i4X8dfXNzflL4MeStkpj9pN0cEvuZwF3kv0y4ysUWHJrG5e6ujpqa2upr6+nvr6e2tpa6urqVrePHTuWwYMHU1VVVcYozczM1j9OPm198mdJNcArZJvCDI+IG1o5xqWSVpAlSlcAt5DbGGctuI6sOreUbNOdexoaIuIt4GfA82mp6JatGLeWbLOc+WRVyyPINtRpMINsI5+FZDv0Hpeek3yXbCOhr5FViU8Fjm20lHW1xjGSVSNPI1uau4hsY5+RBU4dCtwaEfNyr3+TJXJDI+JvwHlkSehysh1xO0fE82TPxT4PvAb8q8C4XwIWk2129L+5tp8DT5El2cuAe/ngcuIWi4j/AE8DS9PH7thGbNSoUXTo0IErrriC22+/nQ4dOjBq1CgAamtrueuuu7zk1szMbA0oYq2sBDSzMpHUH7gpInYudyzrM0m3AP+OiMub6/vJPr3i4Qu8y+mGaMtv/LTcIZiZma3XJE2LiOpCbWvjQ+XNzNZrkrYBvky2XNjMzMzMSsDLbs1soybp22TPll4TEc3t/GtmZmZma8iVT7P1XERMJvs8TFsDEXEtcG254zAzMzPb0Dn5NDNrpU17butnA83MzMxayctuzczMzMzMrOScfJqZmZmZmVnJOfk0MzMzMzOzknPyaWZmZmZmZiXnDYfMzFppweIabrz9r+UOw5pw1skHlTsEMzMza8SVTzMzMzMzMys5J59mZmZmZmZWck4+zczMzMzMrOScfJqZmZmZmVnJOfk0MzMzMzOzknPyaWZrRNJQSfeUO461SdL+kmaWOw4zMzOzDZGTTzNrkqSZkvbPvb9M0kvAnyLiy2UMzaxJo0ePprq6moqKCoYPH776+MyZM5FEZWXl6tePfvSj8gVqZma2kfDnfJpZi0m6FDgR6B8R88odj1lTevfuzciRI5k0aRJvv/32h9qXLl3Kppv6f4NmZmZtxZVPM2sRST8EhgCHRcRcScMlPZTa+kt6SdKPJC2R9HKjaukBkl6QtFTSFalv/9R2hqQ3JC2X9C9Je6XjkyVdKulZSTWSrpS0g6Sn0jhX5cbfNM09S9KbqW+71PYJSVPSOXNSAp2/roslLZA0Azi01PfR2s6gQYMYOHAg3bt3L3coZmZmhpNPM2uZ7wGnkCWec4r02QFYBPQExgLXAEiqAH4HXJHaaoCPp7ZK4CqySmpn4FhgQW7MQcBRwO7AN4Gb0rHdgOENiSrwHWB/YG9gV+Ag4LTcON8HegBHAGdI+kKa/5jUbz/gM8DxxW6ApBGSpkqaWrN8abFuth7p06cP2267LaeeeioLFy4sdzhmZmYbPCefZtYSnwUeiYjZTfRZBlwXEXXABGDPdPwzQE1EjIuI94ArgXdSW6TXrpI2j4gZETE3N+YtETE3ImYC04CHI+KNlAA/kZvjVOD7EbEoIpaQJb7HAUTEKxHxWETURcRLwG/IklOAwcAvIuK1iFgAXFvs4iLi5oiojojqys5dm7ldti7r0aMHTz31FLNmzWLatGmsWLGCoUOHljssMzOzDZ6TTzNria8BR0sa2USfBRER6euVQMf0dS9gddKaEtAF6eu3yJbyfgf4j6RxkrqdMTqtAAAgAElEQVTlxpyf+/rtAu87pa+3Ax5JS2uXAr8iq7IiaRtJ90qaJ2kZ8A2gYR3mB2ID3mji+mwDUVlZSXV1NZtuuilbbbUVo0eP5uGHH2b58uXlDs3MzGyD5uTTzFpiFnAk8G1J32jlufOAbRreSNqMlBgCRMQfI+JQoB9ZUvidNYhvDnBwRHRNr84RsXdqG0WWtO4YEV2AMYBysW2bG2e7NZjb1nNS9uPw/u9OzMzMrBScfJpZi0TEi8AA4ApJJ7Xi1L8DVZJOTonn/wMqACRtJemLktqTVTJrgfo1CO+XwI/TeJLUT9LBqa0KWAGsSM+I5mO/m+wZ0L6SegLnrsHcto6qq6ujtraW+vp66uvrqa2tpa6ujieffJLp06ezatUqFi1axLnnnkv//v3p0qVLuUM2MzPboDn5NLMWi4ingC8DN/P+strmznmHbCOfi4CFQGeySuo7ZH8HXUBWmXwznXJVgWGa83PgKbJEdxlwL7B1arsM+BxZAnoVWcLZENv9wK+BqenciWswt62jRo0aRYcOHbjiiiu4/fbb6dChA6NGjeK1117jC1/4AlVVVey+++5UVFQwYcKEcodrZma2wZOXGZlZW0q73y4BdomIWeWOZ030+djO8b3Lbi13GNaEs04+qPlOZmZmttZJmhYR1YXaXPk0s5JLnwPaPSWelwEvr6+Jp5mZmZmtGSefZtYW9gBeItvl9gCyHW7NzMzMbCOyabkDMLMNX0RcD1xf7jjMzMzMrHycfJqZtVLPLSr9TKGZmZlZK3nZrZmZmZmZmZWck08zMzMzMzMrOSefZmZmZmZmVnJOPs3MzMzMzKzkvOGQmVkrvbNgBTPG/KXcYWwUdvjGoeUOwczMzNYSVz7NzMzMzMys5Jx8mpmZmZmZWck5+TQzMzMzM7OSc/JpZmZmZmZmJefk08zWS5JektQ/fX2TpPPLHJKZmZmZNcHJp1kbUGampMkF2npIulnSPEnLJf1T0jmN+hwuKSQNLzJ+B0nLJFUXaPuXpK9I6i9plaSa9Pq3pFsl9WnUv6+kOyUtkrRE0j8kndSoz2kpnv7NXPdhkp5K17VQ0sOSeqS22yRd0NT5LRURZ0bE1WtjLFv3jB49murqaioqKhg+fPjq4y+88ALV1dV069aNbt268dnPfpYXXnihfIGamZlZk5x8mrWNg4BuwIGStms4KKkD8L/AVsABEdEZGAwc0uj8ocCS9OeHRMTbwN3AkPxxSXsB2wG/T4dejohKoAvwOaADMLUhJklbAn8DlgN7REQ34Oupb4vjSWN1STFdBnQF+gG/KtbfrJjevXszcuRITjvttA8d/93vfsfixYtZuHAhX/rSlzjxxBPLFKWZmZk1x8mnWdsYCvwWmALkq4jDgO7ACRHxGkBEvBIRxzd0kFRBlpCeAxwmqVeROcYDJ0jK/3c9BLg7JaerRUR9RLwCfBV4A2hYsnoeMC8iRkTE3NT3mYg4NRdPb+BQ4FzgOEmbF4lnR+CtiPh9RKyKiBURcWdELJQ0NN2TS1MV9to09o2S3pS0VNKDkrbJzbt/quIuk3RlfqJ8FVXSJZJuyrWd2FBxTtXflyT9OM3xkqRdJI2UtFjSi5J2K3I9ViaDBg1i4MCBdO/e/QPHu3btSt++fZFERNCuXTtmzJhRpijNzMysOU4+zUpM0mbA8cBvgLv4YHXycGBSRNQ2McTRQA1wBzAVKFba+TMgssQQSUp97yg2cESsIquKHpiL576mr4iTgCfTuCuBo4r0exnoKGmMpCMkdcrNO54sWb44Iioj4tup6a/ATsDWwGLgqnQtFcBE4OdAT6AW2KGZOIvZAfgP0AN4BHgQeBfYkuzaR63huFYmXbt2pX379pxzzjlcdNFF5Q7HzMzMinDyaVZ6A4B6suRwIrB7rrrWHZjXzPlDgbsiIsiS12JLb1cBd/J+cnsgUAH8qZnx3yRbEtyaeH6T5pvYRDzLyJYPV5Ilmgsl3ZCS8YIi4o6IWJ4qtT8lW64M8BlgZUT8T0S8C1wOvNNMnMUsA66PiDqyZcE9gJ+n9xOBPQudJGmEpKmSpi6uWbaGU1spLF26lGXLljF69Gg+9alPlTscMzMzK8LJp1npDQUmpqWuC4DJvJ+wLQKKLaNFUleyyuJv0qG7gH0k7Sjp4NzmQQ+m9vHA4LQUdghwZ0TUNxPf1mTPb7Yknl2AvciWEDfEc7SkzoX6R8TzEfHViOhFlkgOAM5oYvyRkmZIWk62RLlhnWUvsuXBDeO+A8xv5rqKWZASeYC3gYUpkW5436nQSRFxc0RUR0T1FpVd1nBqK5VOnTpx5plnMmzYMObPX9MfDTMzMyslJ59mJSSpCjgGGJJ2s51HVsU7KS2L/TPwubSstJDjyKqX96Vzp6bjQyJiSlqyWhkRAwAiYhrZktJjyJb6Fl1ym+IT2bLex9OhP6dzi2lImp9J8UwE2gODmponF9vdwK4NhxrFcigwAvgC2YZIB5MtI4asGrttru/mZMtkC3mLbCOlBls1F5ttGFatWsXKlSuZM2dOuUMxMzOzApx8mpXWILJkcCfgk+m1O9lziwcA48iebZwgqR+ApI9Jaqh0DiVbfvrJ3OtcmthllizhvAZYGhH/KNRBUjtJOwBjgT6pP+nP3uk5za1T3z0l/TK1DwG+lYtlrxTfh+KRtLOk89IGRUjakSyxfSp1mQ/0zZ1SBbxHVn2tBPIP7/0dqJR0Slq2eyFZUl7Ic8DhkrZMGxZ9rUg/W0/U1dVRW1tLfX099fX11NbWUldXxyOPPMIzzzxDfX09y5cv5/zzz6dbt27ssssu5Q7ZzMzMCnDyaVZaQ4FbI2Je7vVvYAIwND3beBhZwvVEWm56DzBF0rZkS1VvyJ9P9nElPSV9usic48k+XqVQ1XNHSTVkH6XyKFAH7BsRrwNExHyyZ0W3AP4laQlwC/CwpAPS8V81iucG4NCGZDVnRYr/6TTnQym2can9NuCg9FmiV6f2J4DXgX+SbT5Eiusdsirw94CFQEeg2Lamk4CHgVfINlP6XZF+tp4YNWoUHTp04IorruD222+nQ4cOjBo1iqVLl3LSSSfRpUsXPv7xjzNjxgweeugh2rdvX+6QzczMrAC9/+iTmZm1xB59dop7Lri53GFsFHb4xqHlDsHMzMxaQdK0iKgu1ObKp5mZmZmZmZWck08zMzMzMzMrOSefZmZmZmZmVnKbljsAM7P1TUXPKj+LaGZmZtZKrnyamZmZmZlZyTn5NDMzMzMzs5Jz8mlmZmZmZmYl5+TTzMzMzMzMSs4bDpmZtdKit2bx6ydHlDuMDcZX97u53CGYmZlZG3Dl08zMzMzMzErOyaeZmZmZmZmVnJNPMzMzMzMzKzknn2ZmZmZmZlZyTj7NzMzMzMys5Jx8mtlGTdIlkm4qdxxmZmZmGzonn2brCUmHSXpK0nJJCyU9LKlHG8cgSZdKekPSCkmvSbq0RHOFpF5NtE+WVCupRtJ8Sb+W1LkUsVjpjR49murqaioqKhg+fPjq40888QRHHnkkW2yxBT179uT444/nzTffLF+gZmZmtsacfJqtByR1Ae4GLgO6Av2AX7VxDJsCpwLHAAcCnYHPAi+UYJ6WGh4RlcAngU8B3y/hXFZCvXv3ZuTIkZx22mkfOL5kyRJGjBjBzJkzmTVrFlVVVZx66qllitLMzMw+CiefZuuHHYG3IuL3EbEqIlZExJ0RsRBWVwFPbOgs6SZJl6SvL5E0XtIDqWr6sKQtc30Pk/S0pKWS/iSpbzreN1UWz5b0JjAG2Ad4ICJej8xrEfGbRv2/nSqzr0k6OjdPH0mT0jz/J+mwXNtMSd+VNB14XtKDqenVVNnct6mbExFzgQeB3SR1T/MsShXRGyRtlubpL+klSZdLWgRckB9HUhdJf5f0g9Z8c+yjGzRoEAMHDqR79+4fOD5gwACOP/54OnfuTMeOHTn77LN5/PHHyxSlmZmZfRROPs3WDy8DHSWNkXSEpE6tPP844FpgS2A2cD1kCSFwF3AO0J0sgbs9d97mwC5AX+Bc4EngDEnnStpDkhrN09B/W+As4I7c0uAJwD9SDCOBexotGx4IHAR8KiIGpGMfj4jKiHiqqYuTtC1wFPAs2d9r1wO9yaqhhwCn57rvANQAWwFX5cboBjwC3B8RPyowxwhJUyVNXbG0tqlwrIQee+wxdtttt3KHYWZmZmvAyafZeiAilpElUZXAeGBhvqLXAn+JiIcjohb4ITBIUjtgCPDbiHg8IurJkrE9JW2dzhNwSUS8ExFvR8Q44LvAILJEcpakY3PzCLg0Imoj4qHU5yhJ2wN7AT+KiHcj4vfA02QJY4NrImJBRLzdilvzS0lLgb8BfwUuT2P8IcU8B7iVLKltsBK4MiLqcnNtATwK3BURPyk0UUTcHBHVEVFd1bV9K0K0teWf//wnl112GT/72c/KHYqZmZmtAT/vZLaeiIjnga8CSNoH+C3wL+DGFpw+O/f1HLJfPPUAtgNOlTQk174ZWdVwEfBuRCxoFMdYYKyk9mQVxQmStkvNq4D8bjBvAFun8eZHxLu5tlmprVCMLXV6RNyZPyCpCrgBOAKoIvt77i+5Lm+mRDuvP/A2cPMaxGBtYMaMGQwYMIDrrruOgw8+uNzhmJmZ2Rpw5dNsPRQR08g2INo1HXoL6JDrslWjU7bNfb0NWZK4kCwRHRMRXXOvDml8gGgihtqIuIGsktgvHd6EDyaU2wHzgLnAlpI2z7VtzwcT1aJztdL5ZJXMPSOiM3AhWUW2qXnuJkvm/yCpQ4F2K6NZs2bx2c9+lh/84Ad89atfLXc4ZmZmtoacfJqtByTtLOk8Sb3T+x3Jdp1teBbyOWCwpM0lHQAc2WiIQyR9VlIFcAlwT6r+3QGcIOnA9DEqnSUNaiKOUyR9QVInSe0knUxWWZyeugTwA0kVko4EPk3aoCjF+H1Jm0k6CqgGHmjisueTPWvaWlVkCfEySf2Ar7fkpIj4DvAKMLEVy5ltLamrq6O2tpb6+nrq6+upra2lrq6OOXPmcPjhh/PNb36TM888s9xhmpmZ2Ufg5NNs/bCC7LnFpyXVAA+RPfs5LrVfQ5Z0LQL+H3BPo/MnklUEFwJ9yDYYIiL+Tfbc51XAErKPTTmK4laQJa9z01hnAQMjYkVqf5csEZ1DtoT15Nyy3ZOAA4AFwBXAoIbdeov4MXBf2h23uol+jV1HVnFdSraZUuN70ZQRZInr7ZL892MbGjVqFB06dOCKK67g9ttvp0OHDowaNYpbb72V1157jUsvvZTKysrVLzMzM1v/KGJtrXQzs3VR+siVXhFR0rJR+oiWlyJig9+Np98uPeOy275c7jA2GF/dz4/ampmZbSgkTYuIgoUD/2bfzMzMzMzMSs7Jp5mZmZmZmZWcP2rFbAMXEZe00TwzgQ1+ya2ZmZmZrRknn2ZmrdS9Ux8/p2hmZmbWSl52a2ZmZmZmZiXn5NPMzMzMzMxKzsmnmZmZmZmZlZyTTzMzMzMzMys5bzhkZtZK7731CnP/cVS5w9hg9P70A+UOwczMzNqAK59mZmZmZmZWck4+zczMzMzMrOScfJqZmZmZmVnJOfk0MzMzMzOzknPyaWZmZmZmZiXn5NM2SJJqJfUtdxwtJWmmpP3LMO/q+yTpQUmD2zoGMzMzM9s4OPm0spF0mKSnJC2XtFDSw5J6lDuuPEn9Ja2SVCNphaTnJB3bgvNuk3TBWorhOEnPp/nnSbpf0iapbbKkE9fGPBExICImro2xWiol3UslVeSObSOpXtLkFo4RknqVLEhrE6NHj6a6upqKigqGDx+++vgTTzzBkUceyRZbbEHPnj05/vjjefPNN8sXqJmZma0xJ59WFpK6AHcDlwFdgX7Ar9ZgnE0aErG1EFOxz719OSIqgS7AL4A7JW2xNuZsQUw7pjnPADoDuwH3t8XcbWgBkP/QzBOAV9ti4ia+59bGevfuzciRIznttNM+cHzJkiWMGDGCmTNnMmvWLKqqqjj11FPLFKWZmZl9FE4+rVx2BN6KiN9HxKqIWBERd0bEQgBJx+aqfdMlDWw4MVUV/1vSX4C3gN6SviTptVRBPTc/kaQzJL2SxnpW0kG5tsmSLpP0NLCsqYAjYhXwP0B74GPFxpU0FBgKXJoqptem43tJmiJpiaR/SPpkC+7TXsCLEfH3yCyKiFsjYpWki4CDgdvSPOenZPweSfMlLZY0ISX6Ddfb1H1aXUVtXLmVdIGk29LXwyU9IumX6dr/Iam3pBskLZP0pKTeLbi2BhOAIbn3J6Vj+dgOk/R/6d5NktQnHX8wdXk13YN90/FzJc2QtCDF2aFA7MuBEyV9RtLUVIGfKenrrYjd1pJBgwYxcOBAunfv/oHjAwYM4Pjjj6dz58507NiRs88+m8cff7xMUZqZmdlH4eTTyuVloKOkMZKOkNSpUfsyYDBZtfG7wDhJ+X+Vngh8m6wa+C5wO3AmsC2wJ7B5ru9c4HCyCuutwIRGFa8T01xNLvmV1A44nSzhnVFs3IgYD4wHLo6Iyoj4tqQq4EHgqjTPz4G7JW1eYKq8p4F9JF0u6cB8/4i4HJgCDE/zXJ2aJgJ9gf/P3p2HW1mV/x9/f0REFARFAREVc4gkNZOvOWAJWQ5ZIg5pTqi/zMyx+qo55JhRalZfS7MsZy0HNAdU0sAxFTUVEmdAEWOS2aMcuH9/rLXlYbPPyDlshs/ruvbFfuZ7PXsfrnOfe631bA50A36S4+/awH1qit2B+4D18n14KsfShVS1/N8mnOthYCdJHSVtCbQFXi1tVOqKPRQ4K7fneXJyGhF75902z/fguZxAH0v6bDYlfYfOKVyvPzCC9LndAcwHjsvLhwCXSdq6PEhJx+UkddS0GZ80oXnWkh577DH69OlT7TDMzMysGZx8WlVExEzgy0AHUqI2NVfO2ubtIyLitVwVvYeU0GxfOMXtEfFiRMwnddn8V0Q8HBE1wPmACte6PyLejYgFEXElsDYpOSv5Y0S8ExEf1RHulpJmAJOBw4EDImJGI85btC/w74i4O+//N2AesEMD9+ktYA+gN3AvMEXS+fXsvzAiboqIeRHxIfAboFTprfc+NdErETE03/97gHm5cl1LShS3bcK5aoH7gf1JFdBby7bvA4zK9/sT4ALgC5I2qeN8RwM/i4gJETEPGAIcWNj+WkTcmO9VTUSMiogX8vK/gH8Au5SfNCKuiYi+EdG3S+fm5uy2NF5++WUuvPBCLr300mqHYmZmZs3g5NOqJiJGR8QREdGdlCDtTRrbiKR+kp7KXUdnANuQqmol7xXedy9bnggsLC1IGijpBaWJbWaQKlx1nauSNyKic0R0iYgdI+KhRp63aGPgq6V98/6fATZs4NpExJMRMSife3/gZEn7VNpX0uqSfi1pfO5WenMhpnrvUxNNLrz/qMJyeSW7IbeQutt+myWTzx7Au6WFiPgY+C9137uNgWsL9/kRFq9qL/Z5S+qTu+JOkTQT+AZ1f45WJW+++SZ77703v/nNb9htt92qHY6ZmZk1g5NPWy5ExPOkCYhK3R1vBK4FukVEZ+AVFq/SReH9B6RupCUbkb/bSrOo3gqcAXTJ55pRz7kapRHnLT/nROD+nMSWXmtFxF2NvWYe8/ko8CiL7lP5dQ4jjQPdOSLWyculmOq8TxXMBdoXlrs1Ns5mepzUpukRMaFs2/ukhBL49N53A+qa8nQicFjhPneKiGIyWX7PrgSeADaJiE6kKmxzK8LWCsaPH88ee+zBueeeyxFHHFHtcMzMzKyZnHxaVUjqLem00sQ0SrO6fhN4Lu/SEZgKLJB0KPD5ek43DNhZ0h45MfkpixKMdqRxjVPSZXQ6aQzg0mrovJNZvAvufUBfSd+U1EbSWpL2qTDWdTG5AnxMHveIpB1I3ZVL96n8Oh2BGuDDPMbzh4Vt9d2ncq8A+0rqIOlzwMH1xdlAG8ZJ2r2+fSIiSF2TK01jOox07/bK3bLPBV4uJKnl9+Ba4GxJm+Xr95D0tXou3xH4EKiR1B/4esOtspZWW1tLTU0NCxYsYMGCBdTU1FBbW8vEiRMZMGAAP/jBDzj++OOrHaaZmZktBSefVi2zSV1tX5A0B3iQ1EX0hrz9JOAqYDop2Xq6rhNFxH+BI4A/kqpeY0iTEBERs0iT3zxCqpStSaELZ3M14rzXAf3y7Ky/ymNc9yVNkjQFeBtY/JkSlc0ADgLGSppNukc/jYiRefvvgONyF9NTSfdvdr7GCFLiVoq5zvtUwQ25Pe+TPoe/NSLWJeRksQMwuqF9I+KViHijwvoppAmhfklq15dIXXRLfgbck+9B34i4jXT/h+Wux48Cn63n0mcApwCzgBNIlU9bxi6++GLat2/PkCFDuOmmm2jfvj0XX3wxf/rTn3j77be54IIL6NChw6cvMzMzW/EoFRzMzFqepB2BYyNipXp8yXaf6xTDrt+12mGsNHrs+EC1QzAzM7MWIun5iOhbaZsfsG5mrSYingWerXYcZmZmZlZ97nZrZmZmZmZmrc7Jp5mZmZmZmbU6d7s1M2uitmtv6XGKZmZmZk3kyqeZmZmZmZm1OiefZmZmZmZm1uqcfJqZmZmZmVmrc/JpZmZmZmZmrc4TDpmZNdHHc6by5uN/qXYYK5Qtdju62iGYmZlZlbnyaWZmZmZmZq3OyaeZmZmZmZm1OiefZmZmZmZm1uqcfJqZmZmZmVmrc/JptgKR1EtSTbXjWF5IqpHUK78fJumA6kZkZmZmZnVx8mnWyiSNkzRP0hxJ0yTdKmmdase1rEg6UNJoSbMlfSDp75JWy9tGSDqkJa4TEXtHxJ0tcS5rHVdeeSV9+/alXbt2DB48+NP1n3zyCQceeCC9evVCEiNGjKhajGZmZtZ6nHyaLRsDIqID0AtYFziz0k6Sqv74I0mrlZLDFjjXVsAfgO8C6wB9gL+3xLltxdOjRw/OOeccjjnmmCW29evXj5tuuonu3btXITIzMzNbFpx8mi1DETGblHx9rrROUkg6UdI44IGc/A2VNFnS9Fwp7VQ8j6RTJU2V9LakfQvrN5X0kKQZkl6S1L+wbZyknQrLD0oanN9fJ+m3kkYCc4FdcpfW7+c43pP0rcKx60u6TdIUSW9JOrSOJm8HvBoRT0cyLSL+FBELJZ0F7AZcl6vCP2yo7ZK+lds8VdLJZffk0ypqbs+ZhW1nSrouvx8sabika3M19llJPST9TtJMSc9I6lH/J2nNMWjQIAYOHEiXLl0WW7/GGmtw6qmn0q9fP9q0aVOl6MzMzKy1Ofk0W4ZyIvUt4JmyTQOAbYD98vKdpCrp5kA34CeFfdcgJa89gROAWyStn7fdCjwLdAXOAYYWtjXkEOBUUoXyg3ydz+Tr/AS4urDvTcA4YKPcnisk9a5wzheAHSRdImlXSWuUNkTEJcDjwOCI6BARv6qv7ZK65usen2PaNsfYHLsD9wHrAe8DT+VYugBvAf/bzPOamZmZWR2cfJotG8MlzQCmA5sA15Zt/3lEzI6IjyJiYUTcFBHzIuJD4DdAv8K+Ai6IiJqIeJCUbO4jaRNSpfGiiPgkIu4lJX/7NDLG2yPixYiYD9Tm61wUEZ+QktpukjaQtCGwC3B2vs4Y4A5g//ITRsRbwB5Ab+BeYIqk8+sKoIG27wP8KyIejoga4PwcY3O8EhFDc1vvAeZFxG0RUQsMJSW2i5F0nKRRkkZNnzGnmZc1MzMzW3U5+TRbNr4WEZ2BtUjdboeVbX+v9EbS6pJ+LWm8pFnAzaSKXMlCYFJh+V1gQ6AHMDkniyXj87bGeK9s+eOImAWQk7L5wNrAxvnfabl77wxgMKlKuYSIeDIiBuU27A+cLKliQtxA27uXxTiRdC+aY3Lh/UcVlteu0I5rIqJvRPRdr3OHZl7WzMzMbNXl5NNsGYqIj4EbSV1Ri91ho/D+MNJYyJ0jYp28XKzwrcbiCeXGpG6y7wNdi11bSVXWUqI6F2hf2FaeLAaNMxGYERGdC68OEXFqfQflMZ+PAo8CW9dxzfra/gGpu23JRtT9f1hDbTUzMzOzZczJp9kyJKkt8B1SpW1aHbt1BGqAD/M4xx+WbQ/gXEntJH0N2BF4ICImAK8AZ0tqm6uLfYEH8nGvAAdLaiNpEPD55rQhIiYCz0m6QFL7XK3sK+mzFdrbT9IxpURb0g7Al4Hn8i6TSeM7G9P2YcDOkvaQ1A74KXUnzK8A+0rqIOlzwMHNaau1rNraWmpqaliwYAELFiygpqaG2tpaAD7++GNqatIjbD/55BNqamqIaOzfQ8zMzGxF4OTTbNl4VNIcYCrQHxgYdf9mfQMwG5gCjGDJLrqfAK+RKpDXAIdHxJS87VDSeMwpwBBgUERMzdvOA3YCPgT2Av65FO05jJQ0vkNKIC8D2lXYbwZwEDBW0mxSN9qfRsTIvP13wHG5++6p1NP2iPgvcATwx9z2MaR7UckNpO7I7wNXAX9rZjutBV188cW0b9+eIUOGcNNNN9G+fXsuvvhiAD772c/Svn17Jk6cyJ577kn79u0ZP358lSM2MzOzliT/ZdnMrGm26d0rhv7xvGqHsULZYrejqx2CmZmZLQOSno+IvpW2ufJpZmZmZmZmrc7Jp5mZmZmZmbU6J59mZmZmZmbW6px8mpmZmZmZWatbvdoBmJmtaNp1WN8T6JiZmZk1kSufZmZmZmZm1uqcfJqZmZmZmVmra1a3W0k9gdOALwA9gbYVdouI2HwpYjMzMzMzM7OVRJOTT0m7Aw8AawK1wH/zv0vsulSRmZmZmZmZ2UqjOZXPXwJtgCOBWyJiYcuGZGa2fJs5cyb33XdftcNY7uy7777VDsHMzMyWY81JPrcBbo2Im1o6GDMzMzMzM1s5NWfCoQ+B6S0diJmZmZmZma28mpN83gd8paUDMTMzMzMzs5VXc5LPs4BOkn4nae2WDsjMzMzMzMxWPk1OPiSmvckAACAASURBVCNiKrAXcAjwgaTnJT1a4fVIi0drVSXpfElXVzuOukjaTdLzjdhvhKRDlkVMy5qkYZIOWNbHVoOkqyWdn98fJmlolUMyMzMzs3o0OfmU1Ad4ClgXWBvYHti9jpc1kaT+kp6TNEvSVEkPS1q/2nE1RFIvSTUtfM42ks6S9IakOZLeknS5pE6V9o+IxyNih5aMoRDL7pLGNmK/DpLmSrquNeJoSETsHRF3NrSfpMGSHmzOsU2Rvxf3Spou6cP83d6trhiaKyJujoj9W+JctnSuvPJK+vbtS7t27Rg8ePBi2x555BF69+7NWmutRf/+/Rk/fnx1gjQzM7OqaE63218BXYCfApsCbSNitQqvNi0a6SogJ1V3ARcCnYHNgD+3wnWaM8vx0l5zNUlN/b79ATiC9FifzsCXgNmkGZfLz7/M21SH/YGPgUGS2lc7mOXADcBLwIZAd+DHwLyqRmStqkePHpxzzjkcc8wxi62fOnUqgwYN4qKLLmL69On07duXb3/721WK0szMzKqhOcnnzsBdEXFxRLwbEQtaOqhV2FbA3Ii4NyIWRsTsiLgtd3VG0n6SRkuaLek1SQNLB0q6TtKZheUzS9W3XGEaLulaSbOAQyTtLGlUrrCOk/S9wrG7SHopX2eCpKMKMa4t6e68bYSkrnn9MKBdrlDOkdQ1x/RbSSOBuUAPSd/NlczZkv4tqV+lGyGpN3A0cEhEPB0RtRExNSLOj4gnSpVWSSdKmgRcVV6dlPQFSSMlzcjtOKjCdbbJ7f96Xj5Z0puSpuT7VUoghwFb5bZNreczPIz0B5opwDcL1+mWq9gz87l/W9/6vO1gSa9Lmibpb5LWK2wbUPj83ihUEz/tUlzXZyxpE+BqYI/cnucrHNte0h8kTZb0jqRTCte+TtKv872dJWmopLXquB87ANdFxMf5NTIinq8nhjq/H4V7NVvSfUDHwrZPq6gVvgfdJUVhOST9QNK7+Z4fJGlfSW/n9jojWgqDBg1i4MCBdOnSZbH1d911F3369OGggw5izTXX5Pzzz+ell15i7NgGOxSYmZnZSqI5yecnwLgWjsOS14G1JF0l6atackKnmcABQCfgdOAGSV3KT1KH/sAIUgXxDmA+cFxePgS4TNLWed9fAUMioiPwRWBU4TwDgUtJ1e95wGl5/d7AxxHRIb8m5/WHAKcC6wAfAO8DA/J1/wTcqspVy/7AhIh4qZ42rQF8DugFnFzcoFRFfhj4C7ABKQl6tWyfL5Bmbz42Ih7OidexOb5NSff5nEL7Xs9tq9gNOifiewB/BW4HvlPYfBrwBum+bQLcXN96SZ8jVX4PB3qSqqlX5m2fIVXIf0rq/v5VYFKFkCp+xhExATge+EduT6Wuyj8lVd63APYETi8l6NlBwPeBjUj3/4hK9wR4Brha0qDCHyqoJ4b6vh+/B8aTPs8rgQPruGZj7AxsCZxASoIPBj4PHAVcKWmJnhuSjsvJ/KiZM2cuxaVXTWPGjGG77bb7dHnttddm8803Z8yYMVWMyszMzJal5iSfI4AdWzgOAyJiJvBloAMpCZmqNKtw27x9RES8lqui9wBvkcbcNsZrEXFjPrYmIkZFxAt5+V/AP4Bd8r7zgc0ldc7VxuJvh8Mj4smI+ISUxG7bwHVvj4gXI2J+rl7eX6qYR8SVpHHDvSoc14WUrNZHwPm5ovZR2bZ9gVcj4rp87SkRMbqwfQfgHuDIiChNjnU08LOImBAR84AhNC3BOQR4OSLeAP4G7C1p3bxtPqnr6UYR8VFEPNPA+oOAOyPi2dy2s4EDc1J0KHBPRDyQ7+OEiHizPJgGPuOGfBu4MCJmRcTrpES4OEnTXyPiPxExG7iXur8HBwH/Jt3LSZIektSjrovW9f3ICei3gPPy9/dB4PFGtqWSX0ZEDSmJ7wxcGRHzImIYsBawRIwRcU1E9I2Ivp06VRx2bPWYM2cO5fetU6dOzJ49u0oRmZmZ2bLWnOTzdGBrpW6daumAVnURMToijoiI7kA/UsXtuwCS+kl6SmnylhmksY+NrXy+V1yQ1EepK+4USTOBbxTO9V1SUvuO0szFxTGWkwvv55GSg6Zcd6CkF3JX2BmkX/wrtWEaaYxgfT6JiCl1bOsJvFPPsUcBL0TEyMK6jYFrC7E9AjRlsqfDSFVPIuIFYAIp+YJULZ4IPKXUdfqABtb3AN4tnPtdoE2Op6G2AQ1+xg0pv/54UpJc0qjvQURMi4gfR8RWpMruQuDX9cRc1/djfdL/V8UK77uVztFIk3N8C0h/ACi256O62mPN16FDB2bNmrXYulmzZtGxY8c6jjAzM7OVTXOSz3OA0cDPgDcl3SnpzxVe17ZsqKueiHieVJkpdYe9EbgW6BYRnYFXSNU/SGMqixPcdCs/XdnylcATwCYR0Qm4v3SuiBgbEQcAXYHHSN0SGwy3ofWS2gG3AmcAXXIbZhTaUPRPYBNJ9VVW67ompMSkVz3bzwC6SLq0sG4icFhEdM6vThFRStbquxaStiD1CDhD0geSPiAls98ByBXEkyJiI1JX21skdahrPan76caFS/QEFgBTG9G2kjo/44baU+H6m1C5a2+jRcRE4Hcs+j4vFkMD34+pef9iAlyMr6ihnwWrgj59+vDSS4t60c+dO5e33nqLPn36VDEqMzMzW5aak3wOBr5C+oVwM9LsnoPreFkTSOot6bRSt0RJW5EmrXku79KR9Ev4AkmHksaolbwC7Kv0qI/Pkcaw1acj8CFQI6k/8Ol4Pknfyd1Fa4E5pKSnIVOBNSTVV61sRxqnOSVdRqeTxlUuISLGksZr3irpS5JWl7SupHNVxyRFZe4HPifpyHzsBpKK9+sj0r39qqTSuM5rgbMlbUYKsIekr+Vtk4GuqnsG28NIid7WwBfyqx/QT9LGkvaR1CvvO5OUSC2oaz1wJ3CApL6S1gQuIk30tYCUoA2UtJfSLMIbS9q8Qkx1fsa5PT0rjW3MbgfOkbSOpC2B75G6EjeJpJ/n7/VqShMmDWbR97k8hjq/HxFRC/wdOE9Su/y57FbHZd8ANpC0a/68Tm9q3NZ8tbW11NTUsGDBAhYsWEBNTQ21tbXsv//+jB49mjvvvJOamhouvPBCtt12W3r37l3tkM3MzGwZaU7yuVkjX59poRhXJbNJCcsLkuYAD5LGft6Qt58EXAVMJ40Nfbpw7A2kitj7eZ+GEoUzgFOAWaRJV+4vbPsG6Rf40gRHJzUUeETMJXUhHZ27THatsM8s4H9J3VknAWtSf9fJ7wG3kO7BTNLER+uQEu2G4plJ6rJ8HKkL7yjgsxX22Qs4QtKJEXEbcB0wTGlW4EdLx0TEq6QZbyfmqma5w4CrI+KDwmsUqYJ7KNAbeCx/rjcDR+WxnBXX53G2J5ASzfdJ44BPzLG8QxqL+vN8Xx5h8YpgSX2f8aP5vFMlPVvh2AtIn82bpLGil+dxlk21DvBAjmEM6Y8ZP6oUQyO+Hz8ANif9oeNU0pjjJUTEDOCHwN3Aayzd2FBroosvvpj27dszZMgQbrrpJtq3b8/FF1/MBhtswJ133snZZ5/NuuuuyzPPPMNtt91W7XDNzMxsGVJEQ73vzMysaMstt4wrrrii2mEsd/bdd99qh2BmZmZVJun5iOhbaVtzKp9mZmZmZmZmTVLp+Yr1Uno4fKPkZ/mZmZmZmZnZKq7JyScwjoZnyiTv05zzm5mZmZmZ2UqmOcnhDVROPjuTZvjcFBhBei6gmdlKp1OnTh7faGZmZtZETU4+I2JwXdskrQacCxwPHNX8sMzMzMzMzGxl0qITDkXEwoi4gNQ1d0hLntvMzMzMzMxWXK012+1TLP5AezMzMzMzM1uFtVbyuR6wdiud28zMzMzMzFYwLT4braQ9gG8Do1v63GZmy4P3Zk7jR8NuqHYYVXH53kdWOwQzMzNbQTXnOZ+P1nOujYHSc0AvbG5QZmZmZmZmtnJpTuVz9zrWB/Ah8BBwWUTUlaSamZmZmZnZKqY5j1pprXGiZmZmZmZmtpJyImlmZmZmZmatzsmnmZmZmZmZtboGu91KKk1tODQiZheWGxQRq+Z0kLZKkrQ7cHVE9JbUCxgbEWtWNShA0mHAgRGxfwP7jQMOiYh/LZPAlpKk7sCkiFBeHgMMjojnqhuZmZmZmVXSmMrndcBfgA3Llut7lfYxW6FIGidpp7J1V0s6v0ohLUHSWpIukzRB0mxJr0k6V9IalfaPiJsbSjyXIpbBkh5sYJ8TJL0paY6kdyVdU9i2xP1urojo48Rz2Xn11VcZMGAAnTp1YosttmDo0KHVDsnMzMyWc42ZcOgY0ky2k/Ly0a0XjpmVSFoNICIWFtYJuBvoAOwD/If0h6Gz87/jy86xekTULquYy0kaAJwJ7BkRr0rqAXytWvFYy6itrWW//fbj+OOPZ/jw4YwcOZJvfvObvPjii2y11VbVDs/MzMyWUw1WPiPiuoi4PiJm5+XrG/tq/fDNlj1Jp0h6R9JkSX+Q1L4Rx5wh6TlJ60raT9LoQtVyYGG/6yT9VtJIYC7Qo+xUXwf6AYMiYnRELIyIiRFxQkSMl7S7pLGSLpE0DTizvDopaYCkUZJmSXpD0m4V4u0vabyk7SWtLumivDxJ0i8ktZG0CXA1sEeuaj5foek7AI9FxKsAEfF+6f8GSVeTngv8aD7+AEldJD0kaVq+v7+T1LYQ13GS3pf0HnBwWcyfVlEljZB0SGHbp9VrSedLuknS3/N1H5K0gaS/5XvykKSODX2mq7KxY8fy/vvvc9ppp9GmTRsGDBjArrvuyo033ljt0MzMzGw55gmHzJpA0p7Aj0lJ4JbA5sC5DRxzDrA/sEdEfAjMBA4AOgGnAzdI6lI45BDgVGAd4IOy0w0AnomI8vVFWwBzgG7A5WWxfAa4C/gpsC7wVRb1aijt8zVS1/lvRsSLub07AV8EtiYlv8dExATgeOAfEdEhInaoEMszwH6SfiKpr6Q2pQ0RcTwwARiQj7+T9H/S/5GS7u2BLwPH5ri2AX4B7Av0Bvas5x40ZCDwc6ArsB7wJHAlsAGwJqnHx2Jy4jtK0qh5s2YvxaVXfBFRcd3o0aOrEI2ZmZmtKJx8mi1puKQZpReLdzX/NvCHiHgjImYCF5KSxYpytW1v4Ot5fyJiRES8lquW9wBvkRKtktsj4sWImF+hy2wXlkxIy80DfhERtRHxUdm2Q4F7IuKBiFgQERMi4s3C9r2BPwL7RMTLed3RwNkRMS0nz1cABzYQA7mtjwHfISWRI4APJB1Xz/5TIuK+iPg4IiYCfyIlu5AS9tsj4oWImENKHpvr4Yh4OiLmAQ8Ab0bEYxHxMXAfsG2F2K6JiL4R0XetdVbtwmjv3r3p2rUrl156KfPnz+fhhx9m5MiRzJs3r9qhmZmZ2XKsMbPdvt3Mc0dEbN7MY82q6WvFGV9z99CSHsDIwvJ4Fk3GVW514GRSlXBW4Xz9gF+SqnerkcZvFiuf79UT2zRStbU+kyJiQR3begLv1HPs94FbImJMYd3GpIS8VO5aDXhziSPrEBH3AvdKWp1UcbxJ0pNl1wAgd3f9Haki25F0D0v3uzuL35t3GxtDBZML7z+qsLz2Upx7pde2bVvuvvtuTjrpJH7xi1/Qt29fDj74YNq1a1ft0MzMzGw51pjK52qAyl7tgF751RNon/8trWvXyHObrWjeJyVjJZtQ1m21oJY0KdDVZTO63ghcC3SLiM7AK6Sfq5Il+zQu8ijwJUnd6tmnvuPfJf2M1uUYYE9JJxbWTQR2i4jO+bVORHyxEddaPKhUib0DGA18ro7jf0jqBrttRKwD/IRF9+YD0v8zJRtTt7mk/5dK6rtf1gzbbrstI0eOZNq0aTz00EO8/fbb7LjjjtUOy8zMzJZjjZlwqFdEbFZ6AduRfhn9F9AfWDMiNiSNkxpAGuP1HhW6rZmtBG4HjpO0haR1SOM9/1bXzrmCejgwNI9ZhFTRmwoskHQo8PkmXP9h0vjEOyT1UbJhnqRo00YcfyswUNJeklaTtLGkYiV1Kmk22h9JOiKvuxb4maRu+XqbFSYpmgz0LI7lLMqTKx0kqVM+9uvAVsC/C8f3KhzSkdRteKakzYDvFbYNBQ6S9AVJHYAz6mnnK8ABktaQtAueYbfFvfzyy9TU1DBv3jwuu+wyJk2axODBg6sdlpmZmS3HmlOd/BnQGdg9IkaWHgORx6+NICWk6+X9zFYqETGMNObxEVLX0/GkcZ/1HfMP4ERgmKQtgJOAq4DppLGQTzfh+gHsR/ojz4PAbOCfwH+puwJbPP4d0njNn5MmPnqEsm7DEfEeaTKfIXkm3suA53KcM0mPeikd8yipGjxV0rMVLjkDOAEYl9//Aji6MM70MuDyPL52EPAbUkVzBimp//ThkRHxEnAWMAwYCwyvp6lXkBLZacD/Fs9jLePGG29kww03pGvXrjzyyCMMHz7c3W7NzMysXqo0a2G9B6RHHNwaEf9bzz6XAYdERM+69jEzW1F133KzOOy3F1Q7jKq4fO8jqx2CmZmZLcckPR8RfStta07lswvQtoF92rL4BCpmZmZmZma2CmtO8vkWcKCkTpU2SlqX1K2vubPkmpmZmZmZ2UqmOcnn1aTHTTwr6UhJvSS1z/8eRRqL1p30uAQzMzMzMzOzpo/5BJD0G9KkKZUOFvB/EXHKUsZmZrZc6tu3b4waNaraYZiZmZktd+ob87l6c04YEadIuo30TMDtgU6kWTBfAK6LiKeaG6yZmZmZmZmtfJqVfAJExNM04RERZmZmZmZmtupqzphPMzMzMzMzsyZpduUTQFIbYH2g4pPFI2LC0pzfzMzMzMzMVg7NSj4lbQMMAfpTR+JJmoxoqZJbM7PlUe2U95h81enVDqMqun7/l9UOwczMzFZQTU4OJfUGShMKDQe+CbwE/Bf4IqkS+k/AVU8zMzMzMzMDmjfm81ygLbBLROyX1w2NiL2AzYC/AFsDP22ZEM3MzMzMzGxF15zkc3fgvoh4pbBOABExF/ge8CFw0VJHZ2ZmZmZmZiuF5iSf6wNvFJZrgbVKCxFRS+p2+/WlC83MzMzMzMxWFs1JPqcDHQrLU4FNyvb5BOjU3KDMzMzMzMxs5dKc5PMtoFdh+Xnga5K6AkhaG9gPeGepo1vGJO0m6flleL3zJV3dzGNDUveWjqmBa54p6bqlOH53SWNbMKTy858l6deN2G+Z37tlRdKc0s/isjy2GiSNlbR7fn+1pB9WOSQzMzMzq0dzks+Hgf45yQS4GlgPeFHS7cArwKbAn1omxJYjaZykncrWXS3pfICIeDwidqhKcC1EUq+cXM3JrzckfbfacTWHpPUlXSPpA0mzJL0s6aS69o+ISyLi1FaKpVF/KJA0IN//wa0RR0MiokNETG5oP0nXSTqzOcc2haT+kp7Ln99USQ9LWr+uGJorIo6PiF+1xLmscV599VUGDBhAp06d2GKLLRg6dGi1QzIzM7PlXHOSzz8CxwLtASLifuDUvHwA0BX4BfDbForRmu7jiOgAdAR+DFwtqU/5TpLaLPPIGklSe9LY4W6kmZXXIX2/vlzH/svLM2UPI024dVi1A6k2SZ2Au4ALgc6k2bD/XNWgrEXU1tay3377se+++zJ9+nSuueYaDj/8cF5//fVqh2ZmZmbLsSYnnxExKSL+GhFTC+t+C2wAbAh0jIizImJhC8a5TBS7heYKYo2kH0iaLGmCpC9LOlbSpLz8lcKx5+Z1syQ9IWnrwrYNJN2SzzNV0pDCZdeWdLek2ZJGFLovryZpaD5muqRb8y/zjRbJPaRxup/L1bub8/XmAjtL2k/S6Hz91yQNLMTdQdJfJc2U9CTQo+x+fVvSf3J8d0nqktd3yxWumZKmSPpt2XEXSfpQ0uvlleiCI4EuwLcj4u3cnjci4qB8jsGShku6VtIs4JDy6mSOr9S2VyR9tvwikr6T49hU0lqSfi/pfUnvlrpxStoNOAs4NleTK5Z4JLUjJcgnkXoHdC9s20XSSzmWCZKOamB9G0k/k/SepIn5fZvC+U5WqmrPkvRs4d5/2qVY0nfzPrMl/VtSv7z+MFJyfEFuz68rHLuppIckzcjx9S9ce5ykH+X7Nl3ShXV8hlsBcyPi3ohYGBGzI+K2iJhaTwy/zz9fMyQNk7RR4bo7SRqTv1e/KLv3n1ZRK3wPDpE0Ir/fXam77s/yNcZK+pykc3JbXlWFP9TY4saOHcv777/PaaedRps2bRgwYAC77rorN954Y7VDMzMzs+VYk5NPSZtIWqd8fUQsiIj/RkRI6iipfBKiFdEapMmUNiJVcm8GtiF1K/45UBxf+B9gB1LC9CSLV3huBmYBnwE2Bu4pbBsIXJqPmwecVth2J2l87eakCuBPmhK8UgK7P7AuqTs0wCDg/0hV0eeAmaSEqRNwOnBDKZEBLsj7bQScDBxeOPdOOe6DcmzvsqjafRppRuQupPt3cyGsLYBppD9WXA9cUUf4A4CHIqKmnib2B0aQqmp3lLV919zO7wLr5Dhnle1zJOl5tF+NiPHAr3J7twR2Bo6X9LWIeBy4BLg2d03dv4549gXmALcAo4BDCtt+BQyJiI7AF/P2+tb/P+AbQN/8+iapx0EpeTyRNLa6M3A8aZKvcu+T7mNnUjf4WyWtHhE3kz6T83J7KnVVvhV4ltST4RxgqHJ32Wwf4EvATsCPJPWucI7XgbUkXSXpq1rUVZ96YngC+CzpD1nTgctzm9uRfh4uI313akjfpebYAvgvaebu4cAw0v3rSvrZvLjSQZKOkzRK0qhpcz5q5qVXDhFRcd3o0aOrEI2ZmZmtKJrT7fYd4JQG9jmZ5XfCoeG54jFD0gzg6Hr2FfCziJhP+sW3J3BJRHxCSnb6SFoNICLujIgped9LgP+RtEau3OwGnBYRcyLio4h4uhhPRDxZOOe2+XwLI+KmiJgXER8CvwH6NbKN7XLbppISyKMi4rW87dGIeCSf/+OIGBERr+Xle0gTSm2f9z0AuDjH/TypC2XJ0cCVETEmt/kiYJAkAfNJycNGub3PFI6bCfwmP5Ln1lJ7K+gCfNBAO1+LiBtz7OVJ6mDgqoh4OleAx0bEpML2Y0nJ/ICIeDd/jkcBP4qIuRHxHnANcGADMRQdBvwt0m/mf2Pxrrfzgc0ldY6IqRExpoH13wYui4gPctyXsSiZHQz8PCL+k9v+QkTMLg8mIu6PiHfzH4auBNZm8cnCKsp/ONoOuCgiPomIe4EXSAlnyW8i4sOIeJ006dg2Fa4/k9RNugMp0Zwq6XeS2tZ17Yi4JSJmRcRHwC9Z9J3fGZgXEX/JPyuXAB831JY6zAT+L38H7yIloZfl5Tup4zsZEddERN+I6NulQ/tmXnrl0Lt3b7p27cqll17K/Pnzefjhhxk5ciTz5s2rdmhmZma2HGtO8qn8WlF9LSI6l17AX+rZ9+OIKFXLPgIoTMjyEdCWVB0tdXH8j6SZwHjSvV2XlLD+N/8yXUlxgpd5pAQBSatL+rWk8UrdSm8mJWSN8XFu33oRsW2uMpW8V9xRUj9JT+UuhzNISUTpOt3L9n+38H5j4LxCEv8m6XvRhVQRnQg8pdTt9YDCcVNiUdlkHoVnxJaZlq9fn/fq2daT+v8Acgrwh4h4Py+vD6wJvF5o03mkaliDJHUmJWd/zav+Buwgaau8/F1SUv+OpEclbdPA+h4sfr/HkxL6xrStFNNASS8U2tOZxn2HegCTc5JX6fpQx/e2XESMjogjIqI7KZHcm9TmumI+R9Kb+Tv/OIt/Fz+9HxHxcVkMTVH8Dn4ETI1FwwQ+qqsttkjbtm25++67uf/+++nevTuXX345Bx98MD179qx2aGZmZrYca07y2RjdgLmtdO7ljqRepO6Th5N+wd+0tIn0C3M3pQl0muIwUsV050iT7RxGyyT95f3lbgSuBbrlZPyVwnU+ICU6JRsX3k8EflJM5CNizVy9mxURJ0XERqQuuLdIKj4btjEeBb6eu1s2ti1F71J/lW8Q8GMtGuM6ldSVc9NCezoWutjWdy1IFdJ2wD2SPmBR99nvAOTKa2lCrsdIs0TXuZ7UZbZ4vzcBSpXbhtpW6qZ6K3AG0CV/tjNY9NnW1573ga6S1qjj+s1SqJ6XxkMvFoPSGOrjgL1I3cB3o47vYo6trj8MzCVPiJZ1W5q4rbJtt92WkSNHMm3aNB566CHefvttdtxxx2qHZWZmZsuxRiWfko4svfKqLxTXFV5HSzoPOIJFYwxXBR2AhcAUUiX0gtKGXFl7HLhcaQKf9qp7kp2ijqRk6EOlSYha6xmGHUmJ1wJJhwKfL2y7Czgrx709KWEr+TNwUqlSJ6mLpH3z+31yQg6pi2MAC5oY1w2kMX+3Stosn/czkv5a/2Gfug74vqQvKfmspGLl7k1SpfIqSV/Nla/rgcskdcrjZbeWVHr0zmQW/VGhksNI3US/UHidnNeXJjZaF6gljQtdUN964HbSWMpuSpMA/ZhUTS217SeSeue2fVFSx7J42pG+i1PSZXQ6KaErmUwdCWxETCD9/J4tqa2kfUjjTh+op/1LyPGdJqlHXt6KNHb1uTpi6EjqhjyN9DN1VmHb00AHSUflbrs/yW2s5BVggKSuudv7/2tK3NY4L7/8MjU1NcybN4/LLruMSZMmMXjw4GqHZWZmZsuxxlY+ryN1T/0LKZHYr7BcfF1L6qrYlkICtrKLiNGkCV1GA28DY8p2OYzUfXAcMAH4ViNOewMwm5Q8jCBNitIaTgKuIiV6Xyb9kl9yHqkb4kTgSuCm0oY8bvVM4ObcRXIUafIZgN7AY5LmkLoLH1VPt+OK8v79SYnIv/I1hpIS+cYc/xSp6nodaaKh20kTDxX3eZk0rvWW/AeBH5KqZqNJ9+MvhWPuAtZTmqW3fHKjnqQupb/LYzQ/iIgPSAn6BpJ2JE0e9AaLJngqPa+0rvXXAA8CL5LGQWxZiAAAIABJREFUWz5AeswREXEL6TN7ILft96SfuWLbZgH/CzxCqliuyeLdeK8D+uX2VHo+5qHALqTv3xBgUBRmuG6k2fm+vJC/Cw+Svg831BHDg8C/SD8jL5MmHyq152NSdfkM0h9L1iL9AaGSh0jPI34DuJeyyaisZdx4441suOGGdO3alUceeYThw4fTrl19HRXMzMxsVaeoMGvhEjvlxz+QusD9GbibxWdsLVlAShaejogZLRWkmdny5Aubdo+Hzzyy4R1XQl2//8tqh2BmZmbLMUnPR0TfSttWb8wJIuL6wsmOAu6OiBvqOcTMzMzMzMzsU41KPosion/5OknfIj1PUMDIiLhriQPNzMzMzMxsldXYCYe+KemxPBtl+bbrSGPxTiaNV7td0p0tGqWZmZmZmZmt0Bpb+fwW8EXgmeLKPLvpkaRJWq4gTTByHDBQ0qERcWsLxmpmtlxYfYOeHvtoZmZm1kSNTT53JE0iVFO2/hjS7LdHR8QdAJJuBN4izfDq5NPMzMzMzMwa/aiV7qSEstyXSQ+u/7SbbX7ExP3A9ksdnZmZmZmZma0UGpt8rkt67uGnJG0CrAc8EUs+r+Ud0nMtzczMzMzMzBqdfM4Gepat2yH/+2Idx5R30TUzMzMzM7NVVGPHfL4CfENSh4iYk9ftTxrv+USF/TcDJrVAfGZmy50p0+fw+5sq/de3cjjh8H7VDsHMzMxWQo2tfN5M6no7UtLJkq4kTSj0AfDP4o6SBPQD/tOSgZqZmZmZmdmKq7GVz2uBQcCewBcAAfOBUyJiQdm+XyVNUPSPlgrSzMzMzMzMVmyNSj4jYqGkbwCHArsA04C7IuLfFXZfH/gN8PcWi9LMzMzMzMxWaI2tfBIRC0ndb29uYL/bgNuWMi4zMzMzMzNbiTR2zKeZLeckdZdU/tijlZakByUNzu/PkvTrKodkZmZmZvVw8mmrBEnjJL0tafXCuuskndlK1/unpO8WlgdJCknbF9ZdIun61rj+8kLSdvlezJA0XdLjknrnbedLurolrhMRl0TEqS1xLltk3Lhx7LPPPqy77rp0796dE088kdra2mqHZWZmZisoJ5+2KukMHLGMrvUEsGtheRfg9Qrrqv68jmJC3gr7/x34K2kseE9gCODsZQVxwgkn0LVrVyZNmsS///1vRo4cye9///tqh2VmZmYrKCeftiq5Aji7ruRJ0rcl/SdX6O6S1CWvv1XS0fn913MFc5u8fJakyyuc7gnSI4dKdgV+VVonqS2wI/CEpJ0ljZI0K1dov1eI6XxJN0q6W9JsSSMkdS1sP07S+5LeAw4ua08vScNye8ZI+mph2zhJp0t6DRjdQPt3lzQ2V2qnAWdK2kXSSzmmCZKOqnA/NwA2Bq6NiNqImBcR90fEm5J2A84CjpU0R9LQfMy5+XyzJD0haevC+baS9Ey+5vVAm7L7dHV+P1jSg4VtO0kaV7gnNZJ+IGlyvtaXJR0raVJe/kqFz3OV9M4773DwwQez5ppr0r17d/baay/GjBlT7bDMzMxsBeXk01Ylw4HJpGfULkbSTsClwEFAN+Bd4Ld58xPAbvl9P2Bc2XKl6uXTQC9J3SStCWwE3ALslLdvD8wDxpIeW3QcqTJ7CHBZMekCBubYuuRjTssxbwP8AtgX6E16FFKpPW2A+/KrK3A8cFspoSyctx+wfQPtB9gCmJO3XU5KpIdEREfgi8CoCvdgKvA2cLOkfSR1Lm2IiMeBS0iJaYeI2D9v+g+wQ27rk8CfC+e7Bbg/b3sc6F/hmo2xBrAJ6TP5LWkStW2ATYGfAx47mp1yyincdtttzJs3j4kTJzJs2DD22muvaodlZmZmKygnn7aquQA4JydnRUcDV0bEmIiYD1wEDJIklkw+LwV2k7QasDMpSVpMRMwiVRT7Af8DjIqI2cCHkjYlVUKfjGRURLwQEQsj4l+kZ+TuUjjd8Ih4MiI+Ae4Ats3rDwBuz8fOISVOJTsCq0XE73LV8XHgGeDrhX2uiIgpEfFRA+2HlPT+Ip/rI1LCvLmkzhExNSKWKIdFRAADgOnAVcAUSbdJWqd838Ixd+aY5pOS0/+RtIakXqQEe0hEfBIRfyL9EaA5BPwsX+NOUnfgSwr3t0/+bBc/KFWZR0kaNWfWjGZeesXyla98hTFjxrDOOuvQs2dP+vbty8CBA6sdlpmZma2gnHzaKiUiHiI9p/Y7ZZs2Bs7LE+PMAN4kJSldgFeADSRtDHwGuA74EvB5YHJETK7jck+SksxdgafyuqcK654AkNRH0nBJUyTNBL6Rr1tSPP88YO38vjvwXmHbu2Xt2bLUntym/vmYkvfK9q+r/QCTImJBYf/vkqq370h6tNQNuVxETIiI4yNiU6APqYJ6TqV9ASR9N3f9nQmMJ/0ftW6Oe3JOECu1tyk+zn8cAPgoxzm5sNyWVB0tb8s1EdE3Ivp2WKdz+eaVzsKFC9lzzz0ZNGgQc+fOZerUqXz44YecccYZ1Q7NzMzMVlBOPm1VdAEpASpWPycCP4mIzoXXmrmqt5DUjfYk4MWImEdKCA+n/gmDSpMO7cqi6mgpIS1ONnRlfr9JRHQidS0VDfuAVLUr2bisPa+UtWftiLiisE+U7V+x/RX2JSLGRsQBpC69jwENzlobEa+TEvdSl+LFzpmrm78i3dfOpG6wkO7FB0DXPFa2UnuL5gLtC8vdGorNljR9+nTeffddTjzxRNq1a0eXLl04+uijeeCBB6odmpmZma2gnHzaKicihgEzgX0Kq/8MnFSYSKiLpH0L258gjZt8PC8/npcbSj63B/oCz+d1T5HGVa5bWNcR+BCokdSfxbvG1mcocJCkL0jqABRLUs8AbXMlsa2kdnlinR51nKuh9i9G0nckrUuauXYOsKDCPutKOi9P8iNJG5HGtD6Xd5nMogQToAOwEJhCqjxeUNoQEeOA14AzcnuOBnrVEd5oYAdJW+QYT6mrHVa39ddfn80224yrrrqK2tpaZsyYwfXXX892221X7dDMzMxsBeXk01ZVFwDrlRYi4mngTNLkOLNIE+jsVNj/cVKS+EQdy0uIiHdJFbu3S91FcxI1H3i20IX0DFKCNAs4gVT5bFBEvESaMXYYaeKi4YVttaSJiL4BTCJ1sT2TOn7mG9H+ct8A3iAl8QeQqsLlPiF1s32clKD+i5RwD8nb7wLWk/ShpDsiYjTwJ1Ly+DZQPo70MOBbpDGkuwP/rKMtr5JmNn42X/O+etph9bjrrrt48MEH2WCDDdhiiy1YffXVueKKKxo+0MzMzKwCpTlBzMyssTb9TO8448I/VTuMVnPC4f0a3snMzMysAknPR0TfSttc+TQzMzMzM7NW5+TTzMzMzMzMWp2TTzMzMzMzM2t1q1c7ADOzFc0G63XwuEgzMzOzJnLl08zMzMzMzFqdk08zMzMzMzNrdU4+zczMzMzMrNU5+TQzMzMzM7NW5wmHzMya6OMps3nzqpHVDmOpbPH9r1Q7BDMzM1vFuPJpZmZmZmZmrc7Jp5mZmZmZmbU6J59mZmZmZmbW6px8mpmZmZmZWatz8mlmZmZmZmatzsmnWRNJGiHpkGYct5uk5/P7XpJq6tjvfElXL22cy4qkqyWdX4XrPihpcH5/lqRfL+sYzMzMzKzxnHyaVSCpv6TnJM2SNFXSw5LWX5pzRsTjEbFDS8UIIGlOhdcCSX9uyes0l6TtJP1T0gxJ0yU9Lql33tZiSXZEXBIRp7bEuVYlHTp0WOzVpk0bTjrppGqHZWZmZispP+fTrIykTsBdwJHA/cDawDeqGlQdIqJDcVnSTsDDwPJSBfw78HPga8AaQH+gtqoR2afmzJnz6fu5c+fSrVs3DjrooCpGZGZmZiszVz7NlrQVMDci7o2IhRExOyJui4iphX0+K+nFXNH7oySVNkg6WdKbkqZIulZS+7x+d0ljK11Q0hm50rpuXrW2pLslzc7dfLs2FHQ+9jbg9Ih4Oa/bT9LofJ7XJA3M63vm2NsXjj9J0t/y+/Ul3Zbb8JakQwv7dcuV4NmS7gM61hHPBsDGwLURURsR8yLi/oh4U9JuwFnAsblaOzQfc66kCbni/ISkrQvn20rSM/m61wNtCts+raJKGizpwcK2nSSNy+97SaqR9ANJk/O1vizpWEmT8vJXGrrXK6M77riDrl27sttuu1U7FDMzM1tJOfk0W9LrwFqSrpL0VUlrV9jnQOCbwGeBfYCvA+SxoMcCA4BNgU7AOfVdTNI5wP7AHhHxYV49ELgU6ALMA05rRNzXAs9GRLEr60zggBzH6cANkrpExHvAv1m8onsIcGt+fxMwDtgI+BZwRam7LPB7YDywAXBlvheVTAXeBm6WtI+kzqUNEfE4cAkpMe0QEfvnTf8BdsjtfhIodh++hVSJ7gI8TqqiNscawCa5bb8Fbga2IX1eP6eOqrGk4ySNkjRq+pyZzbz08uv666/nyCOPpPB3FDMzM7MW5eTTrExEzAS+DHQgJSZTJf1OUtvCbn+MiPci4r/AI8C2ef3RwM8iYkJEzAOGUHdyRp6oZ2/g6/m6JcMj4smI+AS4o3D+us5zErAd8N2ytoyIiNdyBfce4C1g+7z5ZlLCiaRNgK2BByRtCOwCnB0Rn0TEmBzD/pJWJyWj50VETUQ8SEoElxARQUrCpwNXAVNyNXWdutoREXdGxJSImE9KTv9H0hqSegG9gSE5pj+RkuPmEOkzmg/cCfQELinc6z6Slvi/MSKuiYi+EdF3vQ6dmnnp5dOECRMYOXIkRx11VLVDMTMzs5WYk0+zCiJidEQcERHdgX6kBLGY2E0uvJ9HGhcKuZtp7tI6g5SY1jVR0erw/9m783grq3qP458vOCEgKIgoqOCAU1om3rCg65DdNErFSM0SrZxKzKybU4ZTg6VpqWlOyTHTDFHLHMJMxVATh5tDTpkiRxllFAfE3/1jra0Pm33O2QfOdsM53/frtV/u/az1POv3rGfj6/zOGg7HAj+LiPllZU1dfxmSdgR+CBxYlsAiaaikSXmzn7mkEb5euXgc8ClJ3UlJ6E0R8Va+h67A7MJ9HApskO+lE/BqoZmXm4otJ+FHRcSmwHbAFjQzEizpcElPSZpHGl3tBKwL9AVm5ASxxXZb8Fahv9/Icc4ofF6dNDraYTQ0NDB06FAGDhxY71DMzMysHXPyadaCiHiYtAHRti3VBRqBgyOiZ371iIheTdR9hzRl95K8UVCr5cTxetJI5EMVqlxNmo67QUT0BB4njfyRp/j+jTTFtzjlthGYW7iHnnlq7HGkqbQBbFhoY+NqYo2IZ4GreL8fo+xeBgA/B74M9CRNgyXHOw3oUzb63FS7rwNdCp83qCa+jqyhocGjnmZmZlZzTj7NykjaWtK3JW2UPw8ire+slNyVuwI4RdLAfO5GkvZsqnJEPEBKtm6UtP1yhPtr4F8RcV4T5d1JCeOSvGnQh8rKrwFOIK1//GuOqRF4SNLpkrpIWk3SYElbRcQ7pB1sx0haM99bxR1qJK0raUze5EeS+pGS3FI/zuD9BBPSNOd3gZmkkcfTSwUR8SLwDHCCpNUlHQYMaOKenwB2krRF3oTpW03UM2DSpEk0NjZ6l1szMzOrOSefZstaQJpq+4ikhcDtpCStoaUTI+I60ujebZLmA3eRNiVq7pw7gWPyOVtUG2Rep3kQsKeW/Vuft+Vqo0nrLV8jrWO9v+wyt5BGEK+PiCWF4weTkrv/kJLEc4A1c9k3gc1JSe1xpOm7lbxNmmY7EVgIPAA8TFoHC2k0eT1JcySNi4gngMtJyeMLwJNl1zuYtN70NWBX0qjtMiLiX8B5wD9ym7c0EZ+RNhoaMWIE3btX3LTYzMzMrM0o7QliZh2VpOeAURExqd6xrCq233SruPHES+sdxgrZ4ugO+RdlzMzMrMYkPRwRgyuVeeTTrAOT9FlgiRNPMzMzM6u11eodgJnVh6RxpOmrX6pzKGZmZmbWATj5NOugIqLJvz9qZmZmZtbWnHyambXSmut395pJMzMzs1bymk8zMzMzMzOrOSefZmZmZmZmVnNOPs3MzMzMzKzmnHyamZmZmZlZzXnDITOzVpr9+ktc/eAR9Q5jhXzlY5fWOwQzMzPrYDzyaWZmZmZmZjXn5NPMzMzMzMxqzsmnmZmZmZmZ1ZyTTzMzMzMzM6s5J59mZmZmZmZWc04+zTooSSGpbxtd60lJO7fFtVrZ7puSBuT3t0na/4OOwczMzMyq4+TTbCUi6UVJiyQtlDRb0rWS1ql3XEWSTpN0SfFYRGwXEQ81Uf8Lkp6QtEDSNEl/lNQpl90t6cC2iCsi9oqIG9riWh1Ft27dlnp17tyZ0aNH1zssMzMza6ecfJqtfHaPiG7AAGBd4MTWXkDSSvE3fCUNAn4NHA6sA2wH/LGuQdl7Fi5c+N5r+vTpdOnShZEjR9Y7LDMzM2unnHyaraQiYgEpUdumdEzSqZKmSJov6T5J2xbKXpT0PUnPAE/kY7+S9KqkuXlaar+yZg6Q1JhfXy9ca5/CaOUzkvbNx4cBJwNfy6OzNxbaHlLhNj4M/Csi7o9kdkRcHhHvSjoZGAZcla91vKROkm6UNEPSa3nkt0chrs9LekHSLEnHFhsqjqJKukrSiYWyEyVdld8fKmmCpCvy/f1D0kaSLpI0T9KDkjaq+kG1E+PGjaNPnz4MGzas3qGYmZlZO+Xk02wllZOuzwMPFg4/BewE9AL+DlxZdtq+wFBgx/z5PmArYEPgNeDcsvqfyuWfB86RtF0+Pg/YH+gBfA9okNQrIiYCPwKuiIhuEbFfC7fxCLCTpB9J+oSkNUoFEfEjYCJwaL7Wz3PRDaRR382BDYCTcn/0AX4LHAX0B3YA3rteK+0K3AKsB7wCTMqx9AL+Dfxv+QmSjpA0WdLkBXPfXM5mV15jx47lkEMOQVK9QzEzM7N2ysmn2cpngqS5pGRxE+CKUkFE3BARMyNiMSkJ3LmY0AHn5fI3cv3fRcT8/PmnpMS06McRsTAiHgbGkRJOIuLuiHgmIt6NiJtJCdmOtFJE/JuU4G4N/AmYKem0Zuq/GxG/jYhFETEH+EUh5r2BByLiLxHxJnAasLyZ0uMRcWPux5uBRRFxXUS8A9xISmzLY7s0IgZHxODuPddazmZXTlOmTOGee+5h1KhR9Q7FzMzM2jEnn2Yrnz0joiewNmna7W2lAkmHS3pK0jzgJdK/4XUL504tXkjS9yU9L2k+74/s0UT9l0kjpEgaKmlSnvo6F9i+wrlViYi/R8SIfP5+wLGS9q5UV9Jqks6X9FKO+ZpCu33L4m0E3l2emIAZhfdvVPjcdTmvu0pqaGhg6NChDBw4sN6hmJmZWTvm5NNsJRURbwFXk6at9s5/UuTnwJeBnsCmuWpx9C9KbyT9N3AE8BnS9NlhLDtS2L/wfmNgWn5/NWnEdYOcCD9eODdYDnnN513AXUBprWr5tQ7Oce4SEevkz6V2p5XF24+m/x/2OtCl8HmD5Ym5o2hoaPCop5mZmdWck0+zlZSk1YEvkUblZgPdSCN9M0lrHU9v4RLdgcWFc0+uUOcESd0k7Qh8gbTesnTuLGCJpIOADxXOmcH7iW9L9zBU0lcl9c6fdwI+CZT+LMsM0vrOYsxvAnPyGs/jC2W3AbtI+pSkNYEf0HQi/DgwPN/bNsAXq4m3I5o0aRKNjY3e5dbMzMxqzsmn2crnLkkLScnfbsC+edTwCeBy0k62LwBPtnCd24EHgCnAP0mbDy3TFvAM8GfghNwGwGjgYtK6008C9xfOGQ+sJ2mOpHEtxDAXGAk8LWkBaRrtDyLinlx+EXBE3o33OKABWEBKsO+mMOU4IqYDXwEuI025fRJ4u4l2G0jTiF/J93F9C3F2WGPHjmXEiBF079693qGYmZlZO6eI5ZpBZ2bWYQ3cZv0446qWNvpduX3lY5fWOwQzMzNrhyQ9HBGDK5V55NPMzMzMzMxqzsmnmZmZmZmZ1ZyTTzMzMzMzM6u51eodgJnZqqZX1029ZtLMzMyslTzyaWZmZmZmZjXn5NPMzMzMzMxqzsmnmZmZmZmZ1ZyTTzMzMzMzM6s5bzhkZtZKi19/jlf+sXe9w1ghG/3XrfUOwczMzDoYj3yamZmZmZlZzTn5NDMzMzMzs5pz8mlmZmZmZmY15+TTzMzMzMzMas7Jp1VF0ouShizHeQdLurEWMdWLpEskHV/jNkJS3za6VlXPYHmfcb1I6ispCp+flLRzPWMyMzMzs6Y5+ewgcmKxSNJCSbMl3Snp87VuNyKuiYj9mojpNEmXVHOdeiVGknaV9HTxWEQcFRE//6BjKcS0tqRzJE2RtEDSM5JOlbRGpfrNPYM2iOVQSbe3UOcbkp7P372XJV1aKGuz5xoR20XEQ21xrY6iW7duS706d+7M6NGj6x2WmZmZtVNOPjuW3SOiG7A18Afgt5KOqnNMNSep3fxJIUkCbgI+DuwN9AB2BzbMr/L6db13SbsDJwKfy9+9jwF/r2dM9r6FCxe+95o+fTpdunRh5MiR9Q7LzMzM2iknnx1QRMyMiF8DPwDOktRZ0gBJbxbrSXpT0oDCoV0l/VvSTEmnFurtImmypPl5JOvIQlmLI2O53q6SnpZ0pqQ5kp4tjYjl0dFNgLvy6Nn++fgBkp6S9Jqk8ZJ6lV3rR5JmAydKulvSGEmPSpor6bKcyCFpS0kT8/FGSacXQrsNGJTbnZXrXyXpxPy+s6QfSpqaz/2hpM657DRJV0u6KY9Q3i2pTy7rJOlGSTNy/NdK6lHF4/s0MBQYERFPRMS7EdEYEd+IiJeauPelnoGk3QvP6zlJwyo8j90kvSRpR0mr5efykqRXJZ2d73sT4BLgU7l/Hq4Q707AvRHxL4CIeCUixjb1XCX1knSH0uj8DEkXSVq9ENcRkl6RNBX4YlnM742i5r4+sFB2iaTTCs/lt5L+mNu9Q9L6kq7PfXKHpO5VPIt2Zdy4cfTp04dhw5b5OpiZmZm1CSefHdvNQC9gqyrrjwCGkEavjpC0Vz6+GDgC6AkcCJwjadvliGcLYDawPjAWOA/SNFdgCnnkNiJuyEnGz4CRwAbAy8Avy661MJedm499Afgc6X73JiVyJacAvYE9gMMlfSYf3wt4Nrfbu0LMXwc+CwzOr88BXyuU75vj7AUsAr5dKLsBGABsnuM8qdneSXYHHoyIac3UqXTvAEjaDBhP+sXDuqT7fbWszp7AVaTRykeB75Ke+0eBbUnJ71cjYgpwFHBn7p+dKsTyILCPpJMkDS4l5lD5uZL+n3QBsBGwI/BJcn9K2h44GxhOGr3/n2b6oCX7Aj8G+gDrkUZjLyR999YCvroC114ljR07lkMOOYT8OxkzMzOzNufks2MrJR3rVln//Dxq+gLwa1LiR0RMjohH8ijcA8CdpGmhrTUP+EVEvANcC+zQTN3DgAsj4smIWAycCYzQ+z85LwLOjoh3IuKNfOyyiJgaEdOBv5auHxHPRcS9ue7TwO9JCVY1DgDOiYhpEfEqcA4pAS+ZEBF/j4i3gXGFNt+NiN9GxKKImAP8oso2ewHNJZ5Q+d5LDgJujohbI2JJREyJiOcL5XsBlwF7R8Q/87HDgFMiYnaO9TxSIt+iiLgX+BIpibwbmCbpiGbqz4yIWyLirYhoBC7n/X7ZH/hD/q4tJCWPy+svEXF/RCwCbgWez9+Bt4BbqPDdy6OukyVNnj337RVoeuUzZcoU7rnnHkaNGlXvUMzMzKwdc/LZsZXWCM6psv7UwvuXS+dL2k7SBKXpuPNII4G9liOemRFR2r10EbB2M3U3BsbkqbJzgecBFdp9NSKWlJ0zo/B+EdA1x98vT42dluM/uhXxb0Tqi5KXWHrtZVNtribp/DyVdT5wTZVtzgZa2gW30r2X9Af+08y5RwM3RcSThWMbAxMKfX0laYSwKhHxp4jYizQyfjTwS0nbVaorqbukhjyFeT4pwSz1S1+W/Q4ur+JzeaPC567lJ0TEpRExOCIG9+pZcW+nVVZDQwNDhw5l4MCB9Q7FzMzM2jEnnx3b50nJzDPA68DqyhvU5PWHa5bV7194vzHvj8BdCNwHbBIRPYA/kxLBthRlnxuBkyKiZ+G1VkTMaqJ+c84iJR+DcvwX8378LV3nFVJflGxC2TTWJhwMDAN2iYh18udq+uwu4GOSNmimTnMxv0ya6tuUrwL/I+mYwrFGYFihn9eJiI9W0dbSQaWR2HHAE8A2TZx/PGka7A65X07i/X6ZxrLfwaa8DnQpfG6uvzq8hoYGj3qamZlZzTn57IDypi5fB84AxuRRslmkBOyLeYOX77NsYnCspN6SBpLWeP4hH+9OGj19U9JuLL2Wsq3MYOmk6UpgdF4HWLqn4ct57e7AAmCBpA+TpqYW2+0jqUvFM1MffEfSBkp/l/O7wPVVtvkmMCdvQlTt3w39C2l94rg84ixJG0r6paRNqzj/WmBfSZ/Jmx5tLGnzQvksYM98T1/Jx64AfpjvUZIGFjYpmgH0L67lLJK0j6SRknrkcz8NDAIeK5w/oHBKd9II8bz8PTuyUHYjMFLSRyR1A05o5j4fB/aXtIakj+d7sgomTZpEY2Ojd7k1MzOzmnPy2bHcJWkh8BwpwTo0Ii4CyNNdjwZ+Shrp+jdQvrDtJtIGMg8BV0bErfn4CcC3gPnAN0gjn23tHODcPPVzRETcT/oTHtfk6ZmTSZviLI8zSAnzAtIGPeNLBXmX1tuARkmV1lpeCtwOPAo8Qlo/eFkVbTbk9maS1kLeVk2g+TntQ3oOt+dr/A2YThUjrhHxH9J6zR+T1tj+lbI/0RIRU0mb+fxE0r6kvn8IuD+fc1PhnLtIo7+zJP2jQpNzSd+JF/P7s4HDCutMl3qupLWvG+e615MSzlJc/wecTOqrp4EJzdzqeaREdjbwv8Xr2NLGjh3LiBEj6N69w23wa2ZmZh8wvb/EzszMqvHhbXrEbWOAEwpJAAAgAElEQVQ/Ue8wVshG/3Vry5XMzMzMWknSwxExuFKZRz7NzMzMzMys5px8mpmZmZmZWc05+TQzMzMzM7Oac/JpZmZmZmZmNbdavQMwM1vVrN51S2/YY2ZmZtZKHvk0MzMzMzOzmnPyaWZmZmZmZjXn5NPMzMzMzMxqzms+zcxa6a2Fs3h+4m/qHcYK2WLYYfUOwczMzDoYj3yamZmZmZlZzTn5NDMzMzMzs5pz8mlmZmZmZmY15+TTzMzMzMzMas7Jp5mZmZmZmdWck08zW2lJulvSgW18zb6Soi2vaWZmZmYtc/JpZstN0ouSXpC0WuHYVZJOrGdcVp1u3bot9ercuTOjR4+ud1hmZmbWTjn5NLMV1RP4Sr2DsNZbuHDhe6/p06fTpUsXRo4cWe+wzMzMrJ1y8mlmK+o84JTi6GeJpAMkPSXpNUnjJfXKx6+VdFh+/2lJIWn7/PlkSedWuNYukiZLmp9HXI8slJ0m6WpJN0lakKfr9imUHyHpFUlTgS8WjneSdJGkWZLmSJokafW27JxVxbhx4+jTpw/Dhg2rdyhmZmbWTjn5NLMVNQGYARxcPChpCPAzYCSwAfAy8MtcfB9QynKGAi+Wfb6vQjuLgSNII60HAudI2rZQvm9urxewCPh2jmN74GxgOLA18D+Fcz4N/BcwEOgNHA+8W+kmcwI7WdLk1+YurNgRq7KxY8dyyCGHIKneoZiZmVk75eTTzNrC6cD3JXUuHDsMuDAinoyIxcCZwAil7KY8+fwZMExSJ2AX4O/lDUTE5Ih4JCLejYgHgDuBjxeqTIiIv0fE28A4YId8fH/gD/nchcCPC+csBroDg4B3I+KBiFhS6QYj4tKIGBwRg9fr2a36nlkFTJkyhXvuuYdRo0bVOxQzMzNrx5x8mtkKi4g7gNnAlwqHNwbGSJoraS7wPCDSyOTjwPqSNgY2A64CPgZ8CJgRETPK25C0naQJkmZKmgd8Nl+rpHjOIqBrft8XmFooe7kQ91+By4CxQKOk01p56+1CQ0MDQ4cOZeDAgfUOxczMzNoxJ59m1lZOB74PlEY/G4GTIqJn4bVWRMyKiHeB+4HRwKMRsYiUPH6ZylNuAS7MZZtERA/gz6RktiXTgP6FzxsXCyPi3Ij4EGkk9quS9qzmZtuThoYGj3qamZlZzTn5NLM2ERG3AfOAvfOhK4HRhY2EekkaXjjlPuAoYGL+PDF/bir57A7MAd6UtBtpvWY1bgRGSvqIpG7ACaUCSYMl7ZSnCy8AluRXhzFp0iQaGxu9y62ZmZnVnJNPM2tLpwPrAUTE/cCJwDWS5gOTgSGFuhNJCeV9TXwudwLwLWA+8A3SyGeLIuL/gJOB24CnSRsklfQgTbmdB/wTuDYi7qrmuu3F2LFjGTFiBN27d693KGZmZtbOKSLqHYOZ2Spl+60HxI2Xjal3GCtki2GH1TsEMzMza4ckPRwRgyuVeeTTzMzMzMzMas7Jp5mZmZmZmdWck08zMzMzMzOrudXqHYCZ2apmzW69vWbSzMzMrJU88mlmZmZmZmY15+TTzMzMzMzMas7Jp5mZmZmZmdWck08zMzMzMzOrOW84ZGbWSvPmzeOWW26pdxgrZPjw4fUOwczMzDoYj3yamZmZmZlZzTn5NDMzMzMzs5pz8mlmZmZmZmY15+TTzMzMzMzMas7Jp5mZmZmZmdWck08z69AkHSrp9nrHYWZmZtbeOfk0W8lJ2k3SQ5LmS5ol6S+SeueyqySd2ML5m0q6RtLMfI1/STpLUo8P5g5aJuk0Sae18pyrJL0laaGk2ZJultSvRiG2S926dVvq1blzZ0aPHl3vsMzMzKydcvJpthLLCeJ44AygJzAQuLIV5/cB7gdeB3aMiHWATwFLgG3bONbObXm9Ko2JiG7AFkB34OetOVlSh/5bxwsXLnzvNX36dLp06cLIkSPrHZaZmZm1U04+zVZug4DXI+JPEfFuRCyIiOsiYpakg4GDgdPz6N/5Fc4/HnglIo6IiKkAEdEYEWMi4n5ICZikMyW9JOlVSWeXEklJnSX9UNJUSY35fanstDyiepOk14FdJH1c0lOS5kr6iaSnJe2a668t6VeSXpH0sqTjK92wpK0kTcqjtK+2NLKb72kOcAOwnaROkm6UNEPSa5KuLY3yShog6U1Jx0h6Fbi4rO018v1cJkktP572Y9y4cfTp04dhw4bVOxQzMzNrp5x8mq3cngXWlnSxpD0kdS0VRMQ1wDXk0b+IOK7C+bsBf2qhje8CQ4CPkkZDhwJfzWVfBz4LDM6vzwFfK5w7AriANOr4EDAO+AmwPrAQ2LxQ9+e53pbALsBRkvbM93JaRJyW650O/BHoAWwF/KWF+JHUC9gfeCwfugEYkNvfADipUH0NYJtcfmzhGmuSRplfBY6IiChr4whJkyVNnjdvXkshrXLGjh3LIYccQgfLuc3MzOwD5OTTbCUWEfOATwLdSInmLEkXSVq9ykv0AqaVPkg6Lo9Kvi7pu/nwYcApETE7jyCeB3whlx0AnBMR0yLiVeAc4MDC9e+KiL9GxLukhHJhRDRExGLgbOCt3G4nYBTwnYh4PY/CXlpop2gxsAnQJyLmR8QjzdzfGElzgceBGcDxeYT4txGxKN/PL0gJ9XvdAJwWEW9FxBv52FrAzcALEXF0eeIJEBGXRsTgiBjco8dKs1y2TUyZMoV77rmHUaNG1TsUMzMza8c69Hons1VBRDwBfAVA0k7AH4AngV9VcfprQN/Ctc4Hzpd0Fe//+98YmCCplHB1Ap7P7zcCXi5c7yVgw8LnqYX3fYufI2KxpJn5Y29SgvdsYWStM3BnhZhPAH4MPCHpBeB7EXFPE/d3ekT8pHggr+M8B9gPWDffT/Ee3o6ImSztQ8DqpJHeDqehoYGhQ4cycODAeodiZmZm7ZhHPs1WIRHxMGlqaGmzoGVG6MrcTZoq25xGYFhE9MyvdSLio7nsFVJyWrIJaVrqeyEV3k8D3tttNo/Orp8/zgLeBDYttNM9IvYrDyYiXomIUaTpspcCv2sh/nIHA8OAXfIGSweTRjsrxVwyGfg+KQnv3cr2VnkNDQ0e9TQzM7Oac/JpthKTtLWkb0vaKH8eREomH8pVZpDWLjbl50A/SZdK2jhfoy9p19ySK4AfStpAyUBJpV1n/gB8J5f1Ja0Pvb6Jtu4Hukv6ck48/xdYEyBPyx0LnCOpR94UaNs8klt+z/tL6pvPmU/ambc1upMS3Tl5t9+KGxuVi4gLgGuBOySt08o2V1mTJk2isbHRu9yamZlZzTn5NFu5LSCtV3xE0kLgdtLaz4ZcfhUwVNIcScv8mZGImAZ8nJSQPSppPnAXcB9pVBHSFNWHSMnjPOAm3p9ae2lu81HgEeBW4LJKgUbEW8BI4GTSSOc6pGm6b+Uqx5P+5MsTpOnAv8l1yg3JsS4kjUYe2kTfNKWB1G8zSSO/t1V7YkScAdwL3CKpSyvbXSWNHTuWESNG0L1793qHYmZmZu2cKuyrYWa2wvLusXOAbSLipXrH05a23HLLOO+88+odxgoZPnx4vUMwMzOzdkjSwxExuFKZRz7NrM1I2lVSr5x4ngE8294STzMzMzNbPk4+zawtbQ88TZry+nHgS/UNx8zMzMxWFv5TK2bWZvKmPRfUOw4zMzMzW/k4+TQza6UePXp4zaSZmZlZK3narZmZmZmZmdWck08zMzMzMzOrOSefZmZmZmZmVnNOPs3MzMzMzKzmvOGQmVkrTZ03m+/c1lDvMFbIuXsdUu8QzMzMrIPxyKeZmZmZmZnVnJNPMzMzMzMzqzknn2ZmZmZmZlZzTj7NzMzMzMys5px8mpmZmZmZWc05+TQDJD0paecaXn9XSU/X6vrNtHugpLvz+00kzfqgY6gHSadJuqTecZiZmZnZ+5x8tmOSXpQ0RNJ6kn4raYakeZL+KWn/Qr3eki6VNE3S/Fw+uuxau0sKSYe20Obdkg6sIrYBkt5c7ptbAZUSk4jYLiIeqlM8a0q6UNKrkhZIekbSN3JZm/VTREyJiN5tca2WSDpC0hOSXpf0kqTLJW30QbRt1evWrdtSr86dOzN69OiWTzQzMzNbDk4+O4bzgbeBzYFewFeB1wAkdQH+BmwAfDwi1gH2Bz5Zdo2DgTn5v3UnqXO9Y2hDp5CezfZAD2A/YEpdI1oBkr4PjAG+A6wHfAj4P2BoPeOyZS1cuPC91/Tp0+nSpQsjR46sd1hmZmbWTjn57Bh2An4XEQsi4p2ImBwRf8tlh5AS0gMi4gWAiHguIt77CVTSmqSEdDSwm6S+1TSaRxivlnRTHtG7W1KfXHwbsKakhfnVR9Jqks7MI2WvSjq7lGTma12Tr/U6sEseiT1a0pQ8qntkoe198shbaSRx33x8GHAy8LXc7o35+IuShuT360m6XtJsSc9K+mLhundLGiPpUUlzJV0mSblsS0kT8/FGSae34vncEBGzIuLdiHgqIm5ppp92kTQ5j1K/WHbfq0m6SNJrkh4HtiuULTWKmvuvb+Hz05J2Ldzn6ZIey+2eLWkLSQ/l+zu3iWfeM/fv0RFxR0S8lb93F0TE9bnODpIm5etMkrRDWUzflPSypJmSRkoaLumF/IwPKNR9UdKJkv6d657aVAdLOkDSU7lfxkvqlY//pjQKruROSSdV8czanXHjxtGnTx+GDRtW71DMzMysnXLy2TE8CJwt6UuSNi4r2x24IyKam9o5HFgI/A6YDLQ4rbZgX+BnpAR3EfDtfHwv4K2I6JZfM4DvAkOAjwLbkkbKvlq41gjgAqA7UJoiOxTYmpQcn5eTH4B5+VgP4HtAg6ReETER+BFwRW53vwoxX5Rj7Qd8BbhM0jaF8i8AnwO2AvYGPl0oOwXoDewBHC7pM1X00YPAiZK+JmnLsrJK/bQYOALoSXoW50jaNtc/mtSHWwH7AF+uov2mjCDd34eAbwKX5GPbAYdK+nCFc3YBVgf+XOmCktYA/ghcBawPXA38MR8vXmNL4Bu5zS/mGEYBF2rpUe8RpPv9GHCEpL0qtDmE9B0cSRrhfxn4ZS4+DvispD2Ao0jfl582EfsROemfvGj+gkpVVmljx47lkEMOIf8uxczMzKzNOfnsGI4BbgZOAF6U9EAhmeoFTGvh/IOB6yMigOtp3dTbCRHx94h4GxgH7NBM3cOAUyJidkTMAc4jJXold0XEX/Po4Fv52NkRsSgnlbNISQsRcXdEPJPr3gz8G9ixpWBzYrM/8P2IeDMiHgRuICUuJZdFxNSImA78tXRPecT43jy6/DTwe6qbavojUlJ9BPCUpH9J+nhTlfPI9SP53h4A7gRK9fcHzo2ImXkk+4oq2m/KZRHxSkS8CDwM/CUiXo6IRuABKj/LXsCsiFjSxDWHAO9ExKURsTgiLgaW5OMlP82/DBlPSrAvzM/4NmBtoLh29PzCvf6apZ9TyWH5Gk9GxGLgTGCEJEXEPFK/XwmcAYxqKvYc8+CIGLz2Ot2buL1V05QpU7jnnnsYNWpUvUMxMzOzdszJZweQf3A/IyI+DPQB/gWMzcWzgSan0eaRxL1JiRSk5HMnSYOqbH5G4f0ioGszdTcGJuTpmHNJCcH6hfKp1V5f0tA8pfO1fK3tSYlRS9YHOgONhWMvARtW0WY/pWnB0yTNI41CtthmTlZ/EREfI62RHA+Ml1Tx36ek7SRNyFNN5wGfLbTTl6X76eWW2m9G8T7fqPC50rOcDfRW02tyN6oQ0xQq9G9OAhe30G75vRavU7IxMKbwvXoeEO/32YT8+cGIeKqJuNu1hoYGhg4dysCBA+sdipmZmbVjTj47mIiYDZxLmtYKcBfwaaV1nZV8AVgTuFnSNNK0W4AvrWgoFY41AsMiomd+rRMRH23hnKZcTRr12yAiegKPkxKMlq4zE3iXNOW2ZBPg1SraPIuUKA2KiB7AxYU2qxIRC4Afk6aHrtdErBcC9wGb5Hb+XGhnGtC/ULd8mnXRIqALpPWOpF9MrKj7gXdIv7Co5JWy+KD6/q2k/F4rjeI3AicVvlc9I2KtiCj92ZlTgGeAD0v61HLGsUpraGjwqKeZmZnVnJPPDkDS9yV9VNLqkroCR/L+mskG0s6310oamOtvJqk00nkwaQ3cRwqvY1nxXW9nAWto6c2LrgB+KGmDvPnLQKUNgpZH99zGEkkHkdYMlswANq10Uh5tGw+cIWktSf9Fmso6rso2FwAL8nrIg6oJVNK38kjtWnnt4zHAizk5qtRP3Uk7D78paTeWXnM6Hjhe6c/nDGTpNbPlHgcOzKOU3wLWqSbe5kTEXOCHwK8k7SlpDUldlTaG+iJpuu4akr6utDnSkcBq+fjyOLZwr0cAf6hQ50pgtKTtAST1kjQ8v/8IaT3roaR/F5dLal9zalswadIkGhsbvcutmZmZ1ZyTz/YvSM/5GlKS+R/SqN6hABHxBrAbabrkA5LmAzcCEyX1J61ZvCgippVe5OmwOTFbvqAiXidtAvNEng7ZBziHlBTfT9ow6CYqT6OsxmjSyONrpD8bc3+hbDywnqQ5kiolld8kJWKvkPrt6CqnY55BSgQXkEaXx1cZ65uk0cwZpBHAPUgbNTXVTyeQksX5pE15ipv7XEwanX6OtLHPNc20+21ScjoLWJc0HXWFRcRZpFHg80lJ8r9I620n5rW/+wBfJ33nDgP2yceXx02kDZseAq6MiFsrxHM/cCJwTf5+TwaGSFqdtPHRCRHRmM+9i/TsOoyxY8cyYsQIunfvUDm3mZmZ1YHSHjLWHkmaBQyJiDZJKsxWJpJeBA7Mmy59oPpuOTAO/mW1f0ln5XTuXofUOwQzMzNrhyQ9HBGDK5V55LOdytMxg7SZi5mZmZmZWV2tVu8ArO1J+jVp+ueRKzCd0czMzMzMrM04+WyHIuLIesdgVmsRMaDeMZiZmZlZ9Zx8mpm1Uv8evbxm0szMzKyVvObTzMzMzMzMas7Jp5mZmZmZmdWck08zMzMzMzOrOSefZmZmZmZmVnPecMjMrJXemTmVGRd/r95htKjP0T+tdwhmZmZm7/HIp5mZmZmZmdWck08zMzMzMzOrOSefZmZmZmZmVnNOPs3MzMzMzKzmnHyaFUi6W9KBbXStkyWdX0W9XSU93RZtrmAcIalvreJoa5KGSHqx8HmhpD51DMnMzMzMmuHk0zocSbtJekjSfEmzJP1FUu+2bicifhQRx7X1dSX1lnSppGn5Hv4pafQHHUeO5TRJlzRTLkmnS3pZ0gJJL0g6vVDeZglvRHSLiBltca326LrrrmObbbaha9eubL755kycOLHeIZmZmVkH4+TTOhRJPYDxwBlAT2AgcGUN2qnJnzGS1AX4G7AB8PGIWAfYH/jkBxlHKxwGfA74BLAO8CngqbpG1AFNmDCBE044gd/85jcsWLCAe++9l80226zeYZmZmVkH4+TTOppBwOsR8aeIeDciFkTEdRExq1BnK0mPSpor6TJJApC0paSJ+Xhj2QjeoZImSLpC0nzgwOKooKReku6QNFvSDEkXSVq9GJikMyXNkfSspCFNxH8I0As4ICJeAIiI5yJiZDVx5DoHSHoij0Q+Lmmr8kYkfSnHsamktSX9StIreQTz+FxnGHAy8LU85fXGCvHuBNwaEVMieSEifp/Pvy3X+Xc+f+fm+jifM0bSTEnPA/9dVvbeKKqkF4t9KOl2SYfm91dJ+kVuZ6GkqyX1lXSnpHmSrpHUuYn+XyWNGTOGH/zgBwwZMoROnTrRr18/+vXrV++wzMzMrINx8mkdzbPA2pIulrSHpK4V6nyBNFq3FbA38OlC2SlAb2AP4HBJnymU7QbcTRpRHVd2zU7ABcBGwI6kkcqvFcq3AGYD6wNjgfOaiH934I6IeLOZe2wyDkmfyHEcThqJHAnML6tzCPADYI+IeAn4OdAd2BLYBThK0p4RMRH4EXBFnvK6X4VYHiT107GSti8l8gARsVd+u3k+/6H8uWIfS/oc8FXgYzmOkc30QUu+kPtgU9Kz+DNwHLAJMBgYXn6CpCMkTZY0efbCN1ag6Q/WkiVLmDx5MjNnzmSLLbagf//+HHPMMbzxxqpzD2ZmZtY+OPm0DiUi5pGSjW7ANcCsCqOQl0XE1IiYDvwV2CGf+1xE3BsR70TE08DvgaGF856JiKvziOpSyWFEzIyIWyLirYhoBC4vO3ce8IuIeAe4ttRmBb2AaS3cZpNxAIcCF0fE/Xkk8umIeLVQ/jXgJGD3iHhZUidgFPCdiHg9IqYCl5KStxZFRAPwPWAE8A/gJUn7NFO/uT7eH/h1Hj2dCbS4iVIzfp/vfTYpUX8wIp7I3487qdD/EXFpRAyOiMG9unVZgaY/WNOnT2fx4sWMGzeOiRMn8thjj/Hoo49y1lln1Ts0MzMz62CcfFqHk5OMr0REX1JisxdpFKykuGnNIqArgKR+km7KG/3MA44mJYMlU5tqU1J3SQ15Kul84Mdl586MiCi0uXYTl5oNtLRBT5NxAP2B/zRT/i1SgvdK/twbWAt4Nk+FnQuMAareVTYixkbErsC6wNnAtZJ6VarbQh/3Zel7e7naGCooPuM3KnyuNCK+SurSJSXKo0ePZsMNN6R3794cf/zx3HrrrXWOzMzMzDoaJ5/WoUXEw6QNiLatovpZpCRlUET0AC4GVCiPimclxwPrATvkTYJOKju3WncBn5a0ZjN1movjZWBAM+UjgO9K2jd/ngW8CWwaET3zq3thim1zbS0dVMSbEXERKbke2ES15vp4Gil5Ltm4meZeB4rDkxtUG2d7s+6669K/f38KM57NzMzM6sLJp3UokraW9G1JG+XPg0jrOx9q/kwgrXtcACyQ9GHgoFY03Z2UdM2TNBA4snWRv6cBeI00ejgQQNJmkn5f5flXAUdL+piSrSRtWCh/nrTO9WJJe0TEu6Q1qOdI6iGpk6RtJe2U688grZusSNIoSZ+R1FVSZ0lfBlYDnimcP6BwSnN9PJ60BnSApPWBY5u5z8eBL+Y2RwAfaq5T2rvDDjuMCy64gBkzZjBnzhzOP/98hg9fZlmrmZmZWU05+bSOZgFpqu0jkhYCt5PWfjZUce4ZpM2HFgDnkpKhav2CNFI3F7geqLQzbIsi4g3ShkKzgQfyFN4bgar+aGNETAK+TUpC5wN/IG08VKzzT9L6yt/lHWOPJ40kPkFKfH9TOGc8sF7epbd8kyVIfXUa8AppFPUbwL4RsSCX/xC4OU/pHUwzfRwRfwSuBiYD9wM3NHOrY4AhwBzgM6Q/T9NhnXrqqey8884MGjSIbbbZhh133JFTTjml3mGZmZlZB6P3l5mZWVuSdAawbkSMrncs1rY+smnf+MuJh9Q7jBb1Ofqn9Q7BzMzMOhhJD0fE4EplHvk0q51tgZfqHYSZmZmZ2cpgtXoHYNYeSboHWJPqpvOamZmZmbV7Tj7NaiAi/rveMZiZmZmZrUycfJqZtdJq6/f3ekozMzOzVvKaTzMzMzMzM6s5J59mZmZmZmZWc04+zczMzMzMrOacfJqZmZmZmVnNecMhM7NWmvnaQn712/vqHUaLvvHlofUOwczMzOw9Hvk0MzMzMzOzmnPyaWZmZmZmZjXn5NPMzMzMzMxqzsmnmZmZmZmZ1ZyTTzMzMzMzM6u5lTb5lHS3pAOX47xDJd1ei5jK2rld0qG1bscqk3SJpOPb4DohqW9bxLQykrSJpFk1buM0SZfUso0m2r1E0mn5/cGSbvygYzAzMzOz6tU1+ZS0m6SHJM2XNEvSXyT1rmdMK0rSBEnfrXD8Ikm/qmG7u+ZE6oyy46tsctXc9yMijoqIn3/A8VTVlx/UL0CaaHupX9pExJSIqNu/KUkDJP1J0muS5uTnOSyXtVk/RcQ1EbFfW1yrvbruuuvYZptt6Nq1K5tvvjkTJ06sd0hmZmbWwdQt+ZTUAxgPnAH0BAYCV9Yrnjb0W+BLxQOSVgNGAte0RQP5epXMB46R1HMFr99JUr1/MdFevx/NaubZrqoagP8DNgT6At8FFtU1og5owoQJnHDCCfzmN79hwYIF3HvvvWy22Wb1DsvMzMw6mHomGIOA1yPiTxHxbkQsiIjrIqI4RXArSY9KmivpMkkCkLSlpIn5eKOk08uu3SnXny/pEUlblgokfTifO0fSPyR9pFA2QNJteZTmSUl7FMoGSXpQ0gJJY4HOTdzXeGBrSVsXju0JvA5MaqGN3pKukzRT0r8lHVQou1vSGZIeAeY10farwG3AcZUKJe0j6Yl8D89I2rdQdpWkX0q6J8e6kaTDJT2X6z8maWiu+wlJz5Vd+1xJP83vT5U0Jff/fZK2LdR7UdJ3JD2b+2CpkdqCZr8fOd4T8/vTJF0t6aYc692S+hTaPFrSK5KmShotKcra2i/HO0PSkU3EU96Xd0saU/79lLQJcAnwKUkLJT2c61f9bJVGsZ+WdGb+nj4raUihfsX+lXQyMAy4Krd9fP6+vVk4dwdJk3LMkyTtUCiL3FfL9EVz350W7ARcFRFv5dc9EfFwM/1U8TuXyzZQGv1eIOkWoHuh7L1R1FL/Fcr6Fp95vs9vSno5P4+RkoZLeiHf9wFV3tsqY8yYMfzgBz9gyJAhdOrUiX79+tGvX796h2VmZmYdTD2Tz2eBtSVdLGkPSV0r1PkC8DlgK2Bv4NOFslOA3sAewOGSPlMo242UhK0HTCaNniGpez5+bj73HGC8pDUkdQZuya8+wFHAdZJ65Wv+Dvgz0AuYmNtYRkQsAP4EHFQ4fBBwLam/m2vjt8CLQD/g88B5WjqJPRDYP8felDOB0Uojh+Xm5fN7AN8DGgptl65/HLAOMA14BdidNPJ4OXCt0sjcJGA1SYMBJAn4Yr5HgKdISUcv4O8sO2K5N/AxYAjwnbJ7LKnm+1G0L/Cz3OYi4Ns5tg8DP8ptbkX6vpQbCmyd++Y8VT9yvMz3MyKmkJ7rnRHRLSJ2ynVb+2y3AGYD6wNjgfMKdR2Ww8cAACAASURBVCv2b0T8iPTdPDS3vdS0ZElrAH8ErsrXvRr4Yz7eUl+09N1pyoPAJZJGFH8h0Ew/NfWdA/gV8FKO/UJS/y+vXYAtgW+QkuAvAh8CRgEX5v8fLEXSEZImS5q8cP7cFWj6g7VkyRImT57MzJkz2WKLLejfvz/HHHMMb7zxRr1DMzMzsw6mbslnRMwDPgl0I01HnaW0LnL1QrXLImJqREwH/grskM99LiLujYh3IuJp4PekH5pLHo+I8RHxDnBd6TxgOPBYRNwUEUsi4npSorIT8F9Ap4i4KF93IukH509LGkD6gfwnEfF2RFxOSiSacg05+ZTUhZQYXdNCGxsCHwdOyW08CYwDiuvYLouI/0REkz815v74C/CtCmV3R8QzeSTxZuDfwI6FKn+IiEcjYnGO788R8XLuqwuBrsCAiAhSMl5aWziUNEr5aG7nhoiYGRGLSYnfzmUJzi8iYk5EPAs8DGxfIdZqvh9FEyLi7xHxdu630jPfL9/XYxHxOvDTCueeHRGL8vOYRUpKqlHx+1luOZ/tPFI/vUNK6t+7dhX925QhwDsRcWl+xhcDS/Lxkop9UcV3pykjgceAnwCvSrpD0kZNVW7qO5cT0M8DYyLizYi4nZRoL6+fRsSbpJkKPYEL833fBqwNLBNj7rfBETG42zorNLP9AzV9+nQWL17MuHHjmDhxIo899hiPPvooZ511Vr1DMzMzsw6mruv6IuKJiPhKRPQlJTB7AYcXqswovF9E+kEUSf2UplhOkzQPOJo0CtTsecDGwB55yuFcSXOBzUjr0TYGtiwr2420Tq0vMCMnNiUvN3NrtwG9JO1MGhl7IScczbWxcY5zdqHsUGCDwnWnNtNm0ZnAsZLWKR6UNDRPtXwtX397lu63qWX191WatlyKp2eh/jXAAXnUszSyWzrvcElP5WfzEul7tm7h0k09n6VU8f0oauqafcvuq7EV57ak2vOW59nOzEl+6dprlwqq6N+mbMSy39sppO9/SVP/5lr67lQUEbMj4rsRMQjYBHgXOL+p+s1853qT7vPVQvXm/g22ZEaObwmwmKXv+w2q/w6s9Lp06QLA6NGj2XDDDenduzfHH388t956a50jMzMzs45mpdncJK8DGw9s22JlOIv0w+KgiJgv6TygSxXnNQJ/jogR5QWSPkEaMf1ohbIBQB9Jq+fRJkgJRUURsVjSH0gbDw0kjRKW2m+qjX7A3Iho7gf68rWKTbX/lKS/AseWFV1N6ruGHOOjgCpdX9KapITy88BdEbFE0mul+rmNWcB/k6ZjlnYwHQD8PB9/lDSFd25ZO63Wyu9H0TTSVNeSD2KhW/lzaqSNnm0V/dvcdV4B+pcd24SlE7qmtPTdaVFENEq6iDQKukysLXznZuX6G+b7gPRv8KUKTb3O0v8/2KBCnQ5j3XXXpX///qTfE5mZmZnVTz13u91a0rdLU/AkDSKNEj5UxendgQXAgrym76AW6pfcAgyW9DlJnSWtLWnvvJ7wQWD1PKq0uqQ1JX1S0kYR8SLwDHBCLjsMGNBCW9eQks//4f1RwebaaAQeknS6pC6SVpM0WNJWVd5buTNZduOh7qQf4pcobXjzoWbOXxNYA5hJWtb5PdJ6v/J7vBCYmqfQQpom+24+bw2gfDOoqqzg96PoRmCk0kY7XUm7rdbaDKB/ad1gGz/blvp3Bk1/Nx8A1pD09RzDkaRfQD1QRbut+e68R9KP87PsJGk90ohv6Rku1U80853L04//CIzJ/272JP/Co4LngPWVNsbqQlqj2qEddthhXHDBBcyYMYM5c+Zw/vnnM3z48HqHZWZmZh1MPafdLiBNpXxE0kLgdlIy01DFuWeQNh9aQNo8aHw1DeZ1hMNJSdlM4AXgq7nsnVz2WdJI0FTgRN7vo4NJIzKvAbsCf2uhuftI0/f+EREvt6KNAcB/SD+Yn0P6gbzVIuKJCjGOBi7O9/BJ4P5mzp8P/C9pLeOrwFosO83xWmAb3h/ZLbV7OfAEqX+fXJ74WbHvx3si4v9Im1PdQfoFwn3A282etOLuIo3OzZL0j3ysTZ5tFf17EXBEnrZ6XNm5bwP7AF8nbWZ0GLBP2XTyplT93SmzDnAr6c8APQksBL6Ty5bqpyq+c98ENiclwceR1s0uIyLmAscDN5GeeYf/g5annnoqO++8M4MGDWKbbbZhxx135JRTTql3WGZmZtbB6P1lZWatI2ktYDqwXURUux61riR9EhgbEQPrHYutujbdbOs44YzL6x1Gi77x5aEtVzIzMzNrQ5IejojBlcrquuGQrfK+Bty/sieekj6bp2r2AsaQpm+amZmZmdkHaKXZcMhWLZImkzZy+Vy9Y6nCQaSpwe+Qpt+OqW84ZmZmZmYdj5NPWy5NDaWvjCLiy/WOwczMzMyso3PyaWbWSuuv183rKc3MzMxayWs+zczMzMzMrOacfJqZmZmZmVnNOfk0MzMzMzOzmnPyaWZmZmZmZjXnDYfMzFrprZkLeP7ie+odBgBbHP3f9Q7BzMzMrCoe+TQzMzMzM7Oac/JpZmZmZmZmNefk08zMzMzMzGrOyaeZmZmZmZnVnJNPMzMzMzMzqzknn2YdnKRdJf1/e3ceb+d073H88xWEyCiCEBG9hpCiKqaKK0KLNIaGKkVNpahqb69bUikxtloubVVK6aWaJtqaUkQMLdLWlJDWUFM0JCGDyHRESOJ3/1jrsO3sfYbk7LOP7O/79dqvffZ61rOe3/M75yTnt9d6nv1CteNoLkm7S5pa8LpO0oZVDMnMzMzMGuDi02w1IGmqpFclrVnQdqOkc6oclyRdIGmapEU5xgsKtoekjVviWBHRMSJmt8RYn0QDBw5knXXWoWPHjnTs2JFtttmm2iGZmZmZfYyLT7PVR1fg2EoeoLC4baITgIOAPYHOwH7A8y0dlyVXX301dXV11NXV8eKLL1Y7HDMzM7OPcfFptvq4Eji3XIEo6SuSnpf0tqTbJHUv2n6RpHmSXpK0e0F7SDojL3G9p3iZrqSNJUWZmHYG7omI1yN5NSJuyfuNy32m5CWzu0jaStIESfMlzSicJc37nC9pjqRXgL2Ltn04i5pnggvP4V5Jx+evb5T003ycOkk353N4QNICSaMktSufZjMzMzNbGS4+zVYf9wOzgaOLN+RC7CfAl4GNgGnAzwq6bAnMBXoAN5EK2UKDgO2BQ5oZ0+PAyZLOlLS9JNVviIgD85f/kZfMPplfnwtsAOyb9z0gn8NBwInAbsAe+VxW1uHAycDmwH8CdwPfAXoD/YEhxTtIOkXSREkT365bsAqHrpxhw4axwQYbsOeee/LQQw9VOxwzMzOzj3HxabZ6uQAYXmLm7gTg6oh4LiKWAhcBQwuKwQXATyNiGTAa2KFo/x9GxKKIeLc5wUTEb4DvAUOBJ4DXJJUtYCPi5Yh4JCKWRcQLwC3AgLz5MODaPHs6B7iqObEUuSUiXoiIucBDwOMR8WxELAAeYMXzJyKui4j+EdF//Y5dVuHQlXHZZZfx6quvMmPGDE455RQOOuggpkyZUu2wzMzMzD7k4tNsNRIR40kzmF8t2rQZcH5ezjofeAUQUL/0dk5E1C+dXQx0KNp/+irEdFNEDAS6AZcBo4uX/NaTtKmkOyTNlLQAOK0gxo2L4pi2sjGRZojrvVvi9XqrMHZV7LbbbnTq1In27dtz3HHHseeee3LPPfdUOywzMzOzD7n4NFv9XAAMBwpnP2cAwyKia8FjnYh4q4ljFl7T+Q6wbsHrjZo0QMSSiPgFqbjdoky3i0mF4NYR0QUYSSqSAWYCvQr6btbA4VYqxtWJJD56P8HMzMys+lx8mq1mImIcaRnt4ILmXwPfkrQ9gKTukla4rrGJXgZ6SNpT0rqkZbUlSTpO0gGS1pPUTtIxwJpA/a1YZwN9CnbpBCwCFknaETiqYNttpGtA+0jqAZzZQIzPAEfkYw4FPt3Mc/xEmT9/PuPHj2fJkiUsW7aMUaNG8cgjj7D//vtXOzQzMzOzD7n4NFs9XQCsX/8iIh4FzgFGSVoITAR2L7NvgyJiPvBd4A5SETmhge6LgBHAG8BbwOnAoRGxKG+/BLgzLwfuD1wIfCHvdwWp4Kw/7ljg5hz7o8CtDRz3fNL5zQMOAP7SrJP8hFm6dCnDhw+nR48ebLDBBvz85z/njjvu8Gd9mpmZWZsiL8syM2ue7TffJm4/57pqhwHAlqft3XgnMzMzs1YiaVJE9C+1zTOfZmZmZmZmVnEuPs3MzMzMzKziXHyamZmZmZlZxa1Z7QDMzD5p2vfo5GstzczMzJrJM59mZmZmZmZWcS4+zczMzMzMrOJcfJqZmZmZmVnFufg0MzMzMzOzivMNh8zMmmnuO69x8+OntNrxjt3tulY7lpmZmVmleObTzMzMzMzMKs7Fp5mZmZmZmVWci08zMzMzMzOrOBefZmZmZmZmVnEuPs2spknqI2lJteMwMzMzW925+DSzRkn6uqR/SFos6Q1J90rat8oxHS9pmaQ6SQslPS5pQDVjai0vv/wy66yzDsccc0y1QzEzMzNrMhefZtYgST8ARgDnAN2BzYErgAPK9G/Nj3B6ICI65rgeBv4oSU3duZVjbTHf/OY32WWXXaodhpmZmVmzuPg0s7IkdQO+D5wWEeMi4t2IWBoR90fE/+Q+fSQtkXSGpDeBkZLWlHSRpNckvSnpMkntCsY9U9IrkuZIukHSurn9eEn3SfpVns18StJWjcUZEUuBm4CNgO6SfiDp9TzGXyVtV3DsqZK+J+lF4NkS53y2pCfzubc5Y8aMoWvXruy7b1Unns3MzMyazcWnmTVkd2BN4J5G+q0NbAv0Ac4Ezsr7fhbYDhgAnAgg6UjgJGAQaRa1CzC8YKx9gHHA+sBE4MLGgpS0NnA8MCMi3gKeB3YmzYj+Dfh10S6H5ph2KhpnOPAlYL+ImNfYcVvbwoULOe+887jiiiuqHYqZmZlZs7n4NLOGdAfeiojl9Q2SZkpaIGl+QT8BIyLivYh4FzgBODci5uYi7krg8Nz3BOCSiHg9IhYDPyrYBvBMRNwWEcuAMcAODcS3b45jBrALqXAkIm6NiDl5RvRSYJdcoNa7Mm9/t+C8RgAHAl+IiAXFB5J0iqSJkiYuml+d+xP94Ac/4KSTTmKzzTaryvHNzMzMVsUn8nonM2s1bwMbSGpXX4BGxMaS+gAvFPR7PyLmFLzeDLhfUuTXawCvFGy7QdJ1+bWAZQX7zi74ejGwXgPxPRgRK1x7Kulk4L+ATYHIx+8GzMpdphftsiZpxvbEiFhY6kARcR1wHcAW2/aIUn0qafLkyTzwwAM8/fTTrX1oMzMzsxbh4tPMGvIosBwYDPypgX7FxdgM4LCI+GeJvjOAcyJibMuE+HG5MP5fYG/gaaAzMJ9U5NYrjncZ6RzvkDQzIh6rRGyr4qGHHmLq1Kn07t0bgLq6OpYvX87zzz/PU089VeXozMzMzBrnZbdmVlZeMvsj0k2EBktaN98hdtdGdr0BuETSRkq2kLRXwbZzJW0BIGkTSZ9vwbA7Ah8Ac0jXol7QlJ1ywXkMcLuk7VswnhZxyimnMGXKFCZPnszkyZM59dRT+eIXv8j48eOrHZqZmZlZk3jm08waFBEj8l1sLwO2BOYBzwBDGtjtclLh9yiwAfBv4JI83ph8J9lxkjYB3gCuBu5voXiflXQ96U62daSPiWnqvg9IOiPHNjAiXml0p1bSoUMHOnTo8OHrjh07ss4669CjR48qRmVmZmbWdIpo9UuXzMw+0bbYtkdceOOXWu14x+52XeOdzMzMzNoASZMion+pbV52a2ZmZmZmZhXn4tPMzMzMzMwqzsWnmZmZmZmZVZxvOGRm1kzd19vc12GamZmZNZNnPs3MzMzMzKziXHyamZmZmZlZxbn4NDMzMzMzs4pz8WlmZmZmZmYV5xsOmZk109J3XuaNJwa36Jib7HpPi45nZmZm1tZ45tPMzMzMzMwqzsWnmZmZmZmZVZyLTzMzMzMzM6s4F59mZmZmZmZWcS4+zczMzMzMrOJcfDZA0l6SJjWwfYmkPis5dkjauMy2hyQduTLjripJz0napZE+x0u6t7Viak2SjpZ0e2vvWw2Sdpc0teB1naQNqxhSxTT0+2ZmZmZmraOmi09J90s6q0T7LyRdExETImLnasTWUiTtLenhXFjMlHS3pF3L9Y+IfhHxZIVimSpp9yb0+42kdyStV4k4GhIRoyLiS03pW1zQNGffplJygaRpkhZJelXSBeViWBUR0TEiZrfEWE0hqY+kJRUYd4SkX7b0uK3lmGOOoWfPnnTu3Jmtt96a66+/vtohmZmZmbWImi4+gd8CXy1skLQm8GVgVCUOmMdvFZIGAvcAfwA2BXoBI4EVPqCwNeNqiKR1gS8B7wGHVjmctuAE4CBgT6AzsB/wfFUjsooaNmwYU6dOZeHChYwdO5bhw4czaVLZBRhmZmZmnxi1XnzeBvSV1Leg7fPAO8DfJQ2U9EL9BkkH55mntySdWTiQpJMlvZxnpyZLGlCw7SFJF0p6ClhQsNtXJM3Ij68XxbaNpKclzZf0K0nKY20laUJun1E4C1bCD4FrI+LqiFgQEcsi4q6IGFEursLZSUnrSbomH2eepJuLDyBpbUl31Mcoaccc3zxJT0j6TO73S6A38Oc8C3tYmZgPAWYBVwFHFx3rvDx7u0DSU5J6NtK+uaTxOVf/kLRPwVg9JP1O0uz8/fxRbv9wSbGkNSTdnvu8LWm0pC5527g81JR8PruoaDmypCMkvSRprqTfS1o/tw+U9IKki3KeXmpgRnhn4J6IeD2SVyPilgZiaPDnQ9L5kuZIegXYu2jbh7OoKpqllnSvpOPz1zdK+mk+Tp2kmyVtLOmB/D0YJaldmfMpqwm/Qxfk9jpJl0naUtKT+VyvyP32Ar4PnJT7FS6D/pKk1/P38xsFYx8i6dl83BclVfVNj379+tG+ffv62JDElClTqhmSmZmZWYuo6eIzIhYBfwKOKmg+ChgdEVHYV+lauN8Cp5JmEHcA1i7o8gYwCOgKXA+M1sdnE48EDgM2KGjbD9gGOBi4XFK/gm2Hk2a8tiHNVH6hYNu5eZx9gZMlHVB8bkpLVncD7iyfgbJx1buKNGO6A7AhcG3RMdqTCvg3gVOAjsA44Io83uXAbZLWjohTgdeBQXl5561l4jkauCU/Pi+pRz5WX+DrOZZuwPHA4nLteazRwBM59uHA7ZLqz3MUsBD4FLAZ5fN0K9AH+A9gI2AYQEQcmLf/Rz6fjy1VlrRtztcxpJ+X94CrC7psCcwFegA3AVeWOf7jpO/xmZK2l9KbEI3EUPLnQ9JBwImkn4s9SDP8K+tw4GRgc+A/gbuB75DeYOgPDFmJMRv7HRpK+l34NPBN4Je5rR9wvKQdI2ICcClwQ85J4TLoAUBf0s/7lZK65vYFua0L8D3gN5K6Fwcn6RRJEyVNnDv//ZU4vaY7/fTT6dChA3379qVnz54MHrzCYgUzMzOzT5yaLj6zUeTiU2nJ56GUXnI7GHgsIu6LiCXACKCwELg7IqZFxPKIuBpYj1S01PtVRPw7It4taPthRNRFxCTgj6Q/gAv7T4+IWcCDpOKKiHg5Ih7Js5gvkIq0AayoW45vZiPnXyouJK0BHAt8JyLmRsTSiPhrQZd1SAXbqxFxWi7WhwCTI+KOnIffkwrBJl03m//g3x+4JSJeBP4FHJE3LwPaA9sCioh/RsSCcu2SegM7AhdFxPsR8SfgKWCwpE2BvYD/yvl/NyIeLY4nIj6IiN9GxOKImAf8lNK5LuXLwK0R8UTO7bnA4QUzgguAn0bEMlKRvEOpQSLiN6SCaCipkH5N0iHlDtrIz8dhpJnwVyNiDunNhZV1S0S8EBFzgYeAxyPi2fw9eaDc+TSkib9Db0TEVGAScF/uPwN4rAnHvCx/LycAbwFb5eM+FBEv5u/3ncAUYKcS8V0XEf0jon/3rmsXb25R11xzDYsWLWLChAkMHTr0w5lQMzMzs08yF59ppq670h1eDyIVU8+V6LcxML3g9Qzgg/oXkg7NSz7nS5pPmr0pnD0p3LdU2zSgZ8Hrwhu/LCb9IY6kTZWWuc6UtAA4reg49eYBkeNuSKm4IM3IrQ28Vmb7p0mzZz8uaNsM2Lc+BzkPn+Lj59WQI4ApEfHP/Pr35KW3EfEKqQj7CTBT0s8ktS/XDmwCzI6Iwimq13IsvYBZxQV3MUlrSrpK0muSFpLelCiV61I2IX1P600D2vHRDPOcgtn1xUCHcgNFxE0RMZD0hsJlpBnBknE08vNR/DM8bYUBmq7w5/PdEq+bfbOoJvwOreoxy/1ODZD0d6Wl1fOB7Wn697li2rVrx4ABA5g+fTojR46sdjhmZmZmq6zmi8+IWEq6Ic9X8+N3ZbrOJBUt9TYl5y8XO6OBs4HuEdEVmE/BzCipECxWON5mND5LCXAx6Y/orSOiC+kGQiruFBHvkJZsHtzIeKXiApgDvE9aRlnKRNJS1vsLlrLOAO6OiK4Fjw4RcVsjx6p3NNAnF04zgf8G9pC0RT6nmyJiV1JxsCfwtQba3wA2lFQ4RdWbtER4GrBRnuluLJ69gD0ionN+vUKuy3iD9D2t1wtYTppxWykRsSQifkEqnLYo062hn4/in+HNKO8doDA/G61U0E3UxN+hpmrs56zYzcANwEb5uM+s5HErYtmyZb7m08zMzFYLNV98ZqNIhef+pD+ASxlHKoT2y38on8dHf+S2J80SziF9Osb3SNePNeZsSR0l7US6hq7cdZCFOgGLgEWSduTj16sW+z7wDUmnSeosqZ2kAyWd39hBIuID4Deka+PWl7SWpD2L+vyclK/xkjoDdwH9JR2Uj9VB0mB99JEps/n4MsoPKX1e6h6kYu8z+bEt8Ffgq5K2kfSfuZh8h1QYLy/XHhGvk4qIc3Psg0nXIt4TEW8AE4Arcv7XVekb/nQClgDz8jW/3y3aXvZ8SN/LwyT1l7QOcBFwW0QsL9O/JEnHSTpA6eZP7SQdA6wJvFgmhoZ+Pm4jXQPaJ19L+7GbZhV5BjgiH3Moaaa72fKxmlIMruzvUCmzSdeiNlUn0psCyyUdxUqea0uYPXs2Y8aMoa6ujuXLlzN+/HhGjx7NoEGDqhWSmZmZWYtx8Zn8lbRs74mIKLkUMV97eSzwK9IM33OkQoeIWAj8D+nazDdJ10M2ZUnjn0lFxN3A2RHxbBP2uZB086FFpBv73FauY0T8hXQd5lE5rhmkG7Xc3YTjQCq2ZpE+2mMW6aZCxce4EHiEVHi+n4/3HVIR8SrpBjf1LicVfPNzQVPoq8CfI2JiRMysf5BuKnM0qTj5X9JNev4NPEuasSrXTj7vz+VYfgQMjYj6mcejSUsrp5JuhFRqhvg3pDzPIV3XOK5o+yXAnfl8+hfl5TngdFJx/gbpZkxnlDhGYxaRri9+g1QgnQ4cGulmWaViKPvzERFjSbmZCDxKw292nA/sTlq+fQDwl5WIHdIKgYkNbI8c28r+DpVyG7C+0p2E/9iE/t8izRC/Tbp50grX/7YWSYwcOZJevXrRrVs3zjrrLK666ioOOaTsZb5mZmZmnxiKaO4KNTOzpskzmNMiYoUVBZI+DdwbEb1W3LNt23HbLjHupj0b79gMm+x6T4uOZ2ZmZlYNkiZFRP9S29Ys1Whm1hIi4sel2vNHxhxGugOxmZmZmdUAF59mVg3Pkpa6H1vtQMzMzMysdbj4NLNWFxH9qh2DmZmZmbUuF59mZs201npb+RpNMzMzs2by3W7NzMzMzMys4lx8mpmZmZmZWcW5+DQzMzMzM7OKc/FpZmZmZmZmFecbDpmZNdN7dW/xyoT/a9Ext9zrhBYdz8zMzKyt8cynmZmZmZmZVZyLTzMzMzMzM6s4F59mZmZmZmZWcS4+zczMzMzMrOJcfJqZmZmZmVnFufg0q1GSxkk6rNpxlCNpiaQ+rXzMgZJeaM1jmpmZmdUKF59WkyRNlbRYUp2kuZIekHTwSo41UNIHeaw6Sf+WdEpLx9zMmG6U9J6kRZIWSpoo6buSPvx4pYg4MCJurWacK0tSJ0lXS5ol6R1JT0j6fLXjagnHHHMMPXv2pHPnzmy99dZcf/311Q7JzMzMrEW4+LRaNigiOgJ9gT8Av5V06kqO9VJEdMzjDQUul9S3pQIFKCwcm+j8iOgEbAKcC5wG/LYlY6oGSQLuBLYDdgO6Az8HbpM0sIqhtYhhw4YxdepUFi5cyNixYxk+fDiTJk2qdlhmZmZmq8zFp9W8iJgTEdcC5wEXS2oHIGlHSRMkzcsza59p4nhPAy8A29S3SfqKpOclvS3pNkndC7btI+kpSfMlPVi/1FRSn7z09AxJbwIjJW0j6e95NvNNSec0IZ66iBgPfAU4QtKOefyHJB2Zv94jz44uzLPC3yiIb4Sk30oam2d2x0vqIen3uf94SZ0K+n87z/7OlnStpHVz+/GS7pP0q7zfU5K2KtjvYEmvSnpL0pkNnNL+wO7AVyJiakQsiYibgeuAS/NYD0r6asHYXXPs3SRtlb+v8yXNkHRBYzlsTf369aN9+/YASEISU6ZMqXJUZmZmZqvOxafZR+4kzaJtk4upccAVwAbA5aSZtbUbG0TSzsCWwOT8enfgJ8CXgY2AacDP8rbNgd8D38rHHsfHZyfXBrYF+gBnAhcAY4EupOL2vqaeXEQ8lY+9Z4nNS4FTgK7AkaSZ2+0Kth8K/BDYEFgf+BtwNdADWAc4MZ/P/sBZwBeArYD/AH5QMM4++RzXByYCF+b9NsznfSrQC9ghn3sp+wCPRcScovaxwG6SOpByekTBti8Bj0TEvPz6XNL3dV/gZEkHlDnWhySdkgv0iW/Pr2us+yo5/fTT6dChA3379qVnz54MHjy4osczMzMzaw0uPs0+8mZ+7gYMASZHxB0RsTwifg8sBnYus+9Wm+JbKgAAGyJJREFUeSZtEamouiEiXsvbTgCujojnImIpcBEwNC8f/Srwh4j4W0QsJxW7O0jqmfcVMCIi3ouId0lFYm9gw4hYmAvK5p5jt+LGiJgYEU9FxAcR8RjwAPC5gi73RcSjEbEYuAd4JSIeiYj3gLtIxSKk2dVrI+LliFhAKi6PLBjnmYi4LSKWAWMK9htMKijvi4glwIh87qV0B2aVaJ9F+jetG3ArsJ+kznnbEaSClBzbIxGxLCJeAG4BBpQ5VmGOrouI/hHRf/2uHRvrvkquueYaFi1axIQJExg6dOiHM6FmZmZmn2QuPs0+Ul/wzQM2A/bNBeV8SfOBTxX0KfZyRHTN11j2BvaX9K28bTPg/IJxXiEVVt3zthMKts0D1iJdpwnwftEM39nAesCzkh6XtPdKnOO84kZJ/STdL2mOpAXAF3N89WYXfP1uidfr5a83Ic2u1nuNj+escL/FBfttDEwv2DYD+KDMObxNmkEutlHeZ35EvAX8HThYUjdgL+AOAEmbSrpD0sx8rqfx8XNtE9q1a8eAAQOYPn06I0eOrHY4ZmZmZqvMxafZRw4G5gIvkoqfu3NBWf/oEBG3NTZIREwDxpOuTSSPNaxorHVygTQDGFm0bd2IqL/DTBSN/UZEHEcqtK4DftfUk5O0E6nY/XuJzVcDfwV6R0QX4G7Kzzw25I18jHq9+WhGuSEzSctt621K+X+fHgJ2l9SjqP1g4MmIeCe//j1pqfOXgL9ExPzcfjGpCN46n+tIVu5cW8WyZct8zaeZmZmtFlx8Ws2T1F3S10lLRM/Py1/vAvpLOkhSO0kdJA2WtF7Do0FeMvsF4F+56dfAtyRtX3C8IXnb74CvSNpTSWdJQxsY+zBJG0fEB8BCYHkT4llP6WNIxgC3RsTkEt06kWZEl0jaJ8e/Mv4AnCJpy7zk9Qfk5a6NGAfsIWk/Se1JN3+KMn3vBZ4ExuSbMrWXdCzwDdK1nPVuAwYBJxXF0AlYBCzKN186qumnV1mzZ89mzJgx1NXVsXz5csaPH8/o0aMZNGhQtUMzMzMzW2UuPq2W/VlSHfAyqQA5PiJ+AZCvVxwCfAeYA7xKvqlOGVvnu6nWAf8AJpFuDkREPAqcA4yStJB0Tejuedu/Sdd9XkEq/p4nXf9Yzu7A0/k4w4HjG+h7Qb4GdRbwI+BX+VilnA18m1TQnk6a+Wy2iBgHXAk8SFpe/Br5pkKN7DcLODbHOAN4Dni/TN8PgINIM9RPkPJ2JnBYRDxY0O9t0mzuzqSbSdW7kFRcLyLlvdHZ7NYiiZEjR9KrVy+6devGWWedxVVXXcUhhxxS7dDMzMzMVpkiyk0umJlZKdv37RO3/+r8Fh1zy71OaNHxzMzMzKpB0qSI6F9qm2c+zczMzMzMrOJcfJqZmZmZmVnFufg0MzMzMzOziluz2gGYmX3StO+4ga/RNDMzM2smz3yamZmZmZlZxbn4NDMzMzMzs4pz8WlmZmZmZmYV5+LTzMzMzMzMKs43HDIza6YFCxZw1113teiYQ4YMadHxzMzMzNoaz3yamZmZmZlZxbn4NDMzMzMzs4pz8WlmZmZmZmYV5+LTzMzMzMzMKs7Fp5mZmZmZmVWci08zW2WSOkgaJ2mhpMuU3CxpvqTRjew7UNILrRVrieP3kbSkWscvdswxx9CzZ086d+7M1ltvzfXXX1/tkMzMzMxahItPMwNA0lRJiyXVSZorabSkzk3c/XCgPdA1Is4G9gJ2BTaKiKMqFO/xkpbleBdKelzSgEocqzUNGzaMqVOnsnDhQsaOHcvw4cOZNGlStcMyMzMzW2UuPs2s0KCI6Aj0AboB5zRxv97ASxHxQcHrf0fEey0f4sc8kOPtDjwM/FGSmrqzpDb3Wcf9+vWjffv2AEhCElOmTKlyVGZmZmarzsWnma0gIhYBY4Ft69skhaSNC16/kJfMfg84Dzgpz0IeB1wP7JdfnyJpK0kT8jLcGZIuKHdsSftI+oekeZLGS9q8CfEuBW4CNgK6S/qBpNfzjOhfJW1XMP5USd+T9CLwbInjny3pSUndmpKrSjj99NPp0KEDffv2pWfPngwePLhaoZiZmZm1GBefZrYCSV2Ag4HHG+sbET8GLgVuiIiOEXETcCp5VjIirstdzwU2APYFTpZ0QInjbgDcDnyfVEhOAhq8ZjTvtzZwPDAjIt4Cngd2Js2I/g34ddEuhwIDgJ2KxhkOfAnYLyLmFW07RdJESRMXLFjQWEir5JprrmHRokVMmDCBoUOHfjgTamZmZvZJ5uLTzArdL2k+8DZp6ewNLTFoRLwcEY9ExLKIeAG4hVT8FRsMTIyIuyPifeAC4DOSepcZet8c7wxgF1LhSETcGhFz8ozopcAuuUCtd2Xe/m59g6QRwIHAFyJiheoyIq6LiP4R0b9Lly7NTUGztWvXjgEDBjB9+nRGjhxZ8eOZmZmZVZqLTzMr9PmI6Ap0IC27HdcSg0raVNIdkmZKWgCcRpqVLLYJMK3+Rb5mdBbQs8zQD0ZE14joEREDI+LJfLyTJT2fj/Ua6d+6wmW004vGWRM4E/hJRCxcmXOslGXLlvmaTzMzM1stuPg0sxXkou9mYOe8FBZgMbAuQL6pz4bNGPJiYDawdUR0AUYCpW4M9AawWf0LSe1Jy2/fbOqBJPUB/hc4BugK1F8zWni8KNptGWnW9ZeSdm/qsVra7NmzGTNmDHV1dSxfvpzx48czevRoBg0aVK2QzMzMzFqMi08zW4GktYCvkgrGubn5GeBISe2AbwNN/RgWgE7AImCRpB2Bch+/Mg7oL+mAHMMPgH9GxOvNOFZH4ANgDrA2aeluoyLiMVLBeruk7ZtxvBYjiZEjR9KrVy+6devGWWedxVVXXcUhhxxSjXDMzMzMWlSb+5gBM6uqP0v6AFgOPAccGhH1s4T/BfwG+B7wM+CVZox7ITCKVIA+BtxGiTe/ImKOpMOAK0nXnD5J+UK1pIh4VtL1pDvZ1gEjmrHvA5LOAMZJGhgRzTnHVdajRw8efvjh1jykmZmZWavRR39XmplZU2y11VZx5ZVXtuiYQ4YMadHxzMzMzKpB0qSI6F9qm5fdmpmZmZmZWcW5+DQzMzMzM7OKc/FpZmZmZmZmFecbDpmZNVOXLl18jaaZmZlZM3nm08zMzMzMzCrOxaeZmZmZmZlVnItPMzMzMzMzqzgXn2ZmZmZmZlZxvuGQmVkzTV8wl/8e95tm73fFgV+rQDRmZmZmnwye+TQzMzMzM7OKc/FpZmZmZmZmFefi08zMzMzMzCrOxaeZmZmZmZlVnItPM7MCkqZK2r3acZiZmZmtblx8mrVRkr4j6RVJ70p6WdK3i7aHpI2L2u6VdLykX0qqy4+lkt4reP391j2TypB0tKRnc35el3ShpDZ/B+/33nuPk046ic0335xOnTqx0047MW7cuGqHZWZmZlZxbf4PNbNaJGkEcCJwJPAEsAswRlKniLi4sf0j4lTg1DzWjcALEfGjFoptzYhY1hJjrUIMxwP/CxwL3AdsDfwO2AT4evUia9yyZcvYbLPNePjhh+nduzf33HMPRxxxBM888wx9+vSpdnhmZmZmFeOZT7M2RlI34Gzg9Ij4e0Qsi4hHgTOA70vqugpjbyPp75IWSnpT0jm5/XhJ9xb0213S1Px1H0lLJJ0h6U1gpKTuksZLmitptqRfSFor9x8o6QVJF0maJ+mlwmWskraQdHfe901JZ+b2NfM+r+X2yyS1K3EOawCXAudFxN0RsTQingOOAU7M53ispPuK9vuDpDPy19fkY8yXNE7Spiub0+Zab731GDFiBH369GGNNdZgyJAhbLHFFkyaNKm1QjAzMzOrChefZm3P7qRVCcVrMe8B1srbV9YFwFigC7ANadawKdYGtgX6AGeS/u34OWmmcSfgP4GTCvpvCcwFegA3AVdCKjCBu4FHgU1zDH/L+5xFOrfPAtsBA0izv8W2AXrm8/hQRDwDvAbsA9wJfE7SBvm46wEHAH/M3f9aMM7bwBWNJUDSKZImSpq4eOGixro32axZs3jppZfo169fi41pZmZm1ha5+DRre7oDb0XE8sLG/Hpu3r6ylgK9gQ0jYmFEPNXE/QSMiIj3IuLdiJgTEXfl1zOA60nFYr0FwE/z8tzRwA65fTdgXeCSiFiSY6if8jsBODci5kbEPFLBeniJWOrPf1aJbbOA7hGxEHgQGJrbhwCTImImQET8Lh/7XeDHRbGXFBHXRUT/iOjfoXOnxro3ydKlSzn66KM57rjj6Nu3b4uMaWZmZtZWufg0a3veBjYoXnKaX3cnFaAAy1nxuu21SAVmOWcD6wHPSnpc0t5NjOn9iJhTEEsnSb+RNEPSQuCHfLwonhMRkb9eDHTIX/cCXivYVmgz4P68FHY+8GvSzGmxt/PzRiW2bcRH+bkFOCJ/fUR+XR//8Hwzp4XABFatoF8pH3zwAcceeyxrr702V199dWsf3szMzKzVufg0a3seJRWWBxa1DwaWAY/l19OAzYv6bJ7bS4qINyLiOFKRdh3pJj0A75BmJOsVF3bFxeJ3gfWBHSKiMzCMNDvamGnA5pJK9Z0B7BURXfOjc0R8tkS/F4CZwMGFjZK2J53/w7lpLLCbpD7AF4Bbc7+9gVNIy3C7AHs1MfYWExGcdNJJzJo1i1tvvZW11lqrNQ9vZmZmVhUuPs3amLzk9CfALyR9Lt+IZw/gauBHETE/d/0jMFzSBpLWknQaaSb0iXJjSzpM0sYR8QGwkFTkAjwL7Cxpy3zDo2+XGyPrRJrRXCBpC+AbTTy9J4B3gWGS2kvqLGnnvO0G4BJJGynZQtJexQPk2IcDF0r6Yj73fsBvgZsi4l+5Xx1wfx73iYiYXRD7UtIMaUeg1T965rTTTuNf//oXf/rTn1h33XUb38HMzMxsNeDi06xtOg/4GXAzsIhUWF0VERcU9BkBvAJMBmaTlpYeHBFLGhh3d+BpSXWkAu54gFywXUkqDh8D7mokvp+SlsnOB34P3N6Uk8rXgA4h3aBoJvAisEfefDnwJGnmdwFwB+mGQKXGuYFUIP+YVESPzzGfUtT1FmBQjrHevaRzfB34J+nmQ63mtdde49prr2Xy5MlsvPHGdOzYkY4dOzJq1KjWDMPMzMys1an0pVdmZlbOxlttEUf/7ILGOxa54sCvVSAaMzMzs7ZD0qSI6F9qm2c+zczMzMzMrOJcfJqZmZmZmVnFufg0MzMzMzOziiv+jEAzM2tEry7dff2mmZmZWTN55tPMzMzMzMwqzsWnmZmZmZmZVZw/asXMrJkkLSJ9Rql93AbAW9UOog1yXkpzXlbknJTmvJTmvJTmvKyotXOyeUT0KLXB13yamTXfi+U+v6qWSZrovKzIeSnNeVmRc1Ka81Ka81Ka87KitpQTL7s1MzMzMzOzinPxaWZmZmZmZhXn4tPMrPmuq3YAbZTzUprzUprzsiLnpDTnpTTnpTTnZUVtJie+4ZCZmZmZmZlVnGc+zczMzMzMrOJcfJqZmZmZmVnFufg0M2sCSZtJ+qOkBZIWSrpNUu9qx9WaJPWS9HNJj0paLCkk9SnRr5uk6yW9JekdSQ9I2r71I648SYdLulXSa5LelfSipB9K6lTUr2ZyAiBpf0l/ljRT0nuSpkv6vaTtivrVVF6KSbo3/x5dXNReM3mRNDDnoPgxv6hfzeSkkKTBkh6RVJf/75koaVDB9prKi6SHyvy8hKR7C/rVWl72lHSfpNn55+QpSScW9WkTOXHxaWbWCEkdgD8DfYHjgGOBrYC/SFqvmrG1si2BI4B5wIRSHSQJGAscAHwLOAxYi5SrXq0UZ2s6C1gOfJ90ziOB04D7Ja0BNZkTgPWBScAZwBeAYUA/4DFJm0PN5uVDko4CdizRXqt5ORPYo+CxX/2GWs2JpG8Ad5J+l74EfBn4A9Ahb6/FvJzOx39O9gC+m7eNhdrLi6QdgAdI53gy6XyfBG6QdFru03ZyEhF++OGHH3408AC+TSowtixo2wJYBny32vG1Yh7WKPj660AAfYr6HJLb9ylo6wK8Dfys2udQgZz0KNH2tZyDQbWYkwZytU3Ow3/Xel6ArsBM4Kicg4sLttVUXoCB+Xz3a6BPTeUkn18f4F3gO85Lo7m6AXgPWL8W8wJcCrwPdCxqfwx4tK3lxDOfZmaNOxh4LCJeqW+IiH8DfyP9g14TIuKDJnQ7GHgjIv5SsN8C4E+shrmKiDklmp/Mz5vm55rKSQPm5uel+bmW8/Jj4LmIGF1iWy3npZxazMmJwAfALxvoU4t5+RhJ65JmhP8UEW/n5lrLy9qkf1ffLWqfz0erXNtMTlx8mpk1rh/wbIn254DtSrTXsoZy1VtSx1aOpxr2zs//ys81mxNJ7SStLWkr4FrSbN+YvLkm8yJpAGl2/PQyXWoyL8AoScslzZX0O338mvpazMkA4AXgSElTJC2T9Iqkbxb0qcW8FBsKdAJuKmirtbzcmJ9/JmkTSV0lnQzsC1yZt7WZnLj4NDNr3Pqk6xyLvQ10a+VY2rqGcgWreb4kbQpcCDwQERNzcy3n5HHScriXgB1IS5Fn5201lxdJa5GK8Msj4sUy3WotLwuAK0hL+QcBF5Gu93xU0oa5T63lBGAT0r0FfgL8iHTt9P3A1ZK+nfvUYl6KfQ2YDYwraKupvETEs6Tl64cAM0jn/gvg1Iiof7OvzeRkzdY6kJnZJ1yUaFOrR9H2iRrNVX7n+E7StcAnFG6iRnNCujlXZ+BTpJsz3S9pQERMpTbzcjawLnBJA31qKi8R8TTwdEHTw5IeAZ4g3YRoODWWk2wN0oze8RFxW277s9IdxodJ+hm1mZcPSdqE9EbFTyNiWeEmaigveWXJraRZzFNJy28PAX4paUlEjKIN5cTFp5lZ4+aR3jUs1o3S7yTWsrcpnytYTfMlaR3SnQQ/BewdEdMLNtdkTgAion7p8eOSxgFTgXNIfyDVVF7yMtJzSTN87SW1L9jcXlJXYBE1lpdSIuIpSS8Bu+SmWszJXNLM5/1F7feR7ljak9rMS6FjSEX6TUXttZaXS0nXfA6JiPpr6h+U1B34qaTRtKGceNmtmVnjniNdL1FsO+D5Vo6lrWsoV69HRF0rx1NxeSnlrcCuwOCIeKaoS83lpJSImA+8QvrIHqi9vHwKWAf4LekPvfoHpFnhecD21F5eyimcqanFnDxXpr1+puoDajMvhb4G/CMi/lHUXmt52Z6Uh6VF7U8A3YENaUM5cfFpZta4scDukj5V35CXPu2Zt9lHxgKbSqq/6Q6SOgMHsRrmKn+W5yjSjR0OiYjHSnSrqZyUI2kj0mflTslNtZaXycA+JR6QCtJ9SMV5reVlBZL6A1uTrhmG2szJ7fl5/6L2/YHpETGT2swL8OHPSD9WnPWE2svLTOAzktYuat8NWEKa9WwzOVH+nBczMytD0nrAP0jXUQwnvRt/Eel6nB1Ww3dRy5J0eP5yX9LSydOBOcCciHg4F2N/BTYD/oc0mzOMdLOZHSNiWutHXTmSRpLycAlwV9Hm6RExvdZyAiDpduAp4J/AQlIh8V/AxsCuEfFSLealFEkBXBIRw/PrmsqLpFHAv0k/L/OBnUjnuxj4bES8VWs5AZAk4EFgR9Jy7VeBw4GTgRMi4sZazEu9fM3raUCviJhVtK2m8pL/X/4DaUn2NaS/VQ4GvglcGRHfbVM5ac0PFfXDDz/8+KQ+gN6kpZULSddl3QH0qXZcVchDlHk8VNBnfeDXpHdbF5P/gKp27BXKx9QGcjKiFnOSz/dsYBKpmFgMvEi6y2ufon41lZcyuQrg4lrNC+kP4H+S7nq7FJgGXAf0rNWcFJxzZ9JdS2cB7+c8fdV5YS3Sm55/aqBPTeUFOBB4KOdlEWmlxelAu7aWE898mpmZmZmZWcX5mk8zMzMzMzOrOBefZmZmZmZmVnEuPs3MzMzMzKziXHyamZmZmZlZxbn4NDMzMzMzs4pz8WlmZmZmZmYV5+LTzMzMzMzMKs7Fp5mZmVmFSOor6eeSnpW0QNL7kt6QdLekkyStU+0YGyLpeEkh6fhqx2Jmn3xrVjsAMzMzs9WRpPOA80lv9j8G3ATUARsBA4HrgdOA/lUK0cysVbn4NDMzM2thkr4PXABMA74cEY+X6DME+O/Wjs3MrFq87NbMzMysBUnqA4wAlgKDSxWeABFxF3BA0b5HSHokL9F9V9IzkoZJal/iOCHpoTIx3Ji39ymMK7fdmL8eI+ktSUskTczFcOEYDwH/l1/+X943isc1M2sqz3yamZmZtawTgLWAMRHxbEMdI+K9+q8lXQoMA94CfkdaonsgcCmwv6TPR8TSFohvc+AJ4FXgZmB94CvAnZL2i4i/5H43AvOBQ4A7gckFY8xvgTjMrMa4+DQzMzNrWQPy84NN3UHSHqTCcxqwa0TMzO3DgNuBIcD/kArRVTUQGBERFxQc/3fAvfkYfwGIiBslQSo+74iIG1vg2GZWw7zs1szMzKxl9czP05uxz4n5+eL6whMgIpaRrgv9APh6y4THa8DFhQ0RMR54Hdi1hY5hZrYCF59mZmZmLUv5OZqxz2fz85+LN0TES6RCdgtJXVcxNoDJEbG8RPs0oFsLjG9mVpKLTzMzM7OW9UZ+7tWMfbrk5zfLbH+zqN+qKHe95jL8t6GZVZD/gTEzMzNrWX/Nz/s2Y58F+XnjMtt7FvWDNLNa7v4dLTFDambWolx8mpmZmbWs/yN9zMphkrZrqGPBR6g8nZ8HluizJWkW9d8RUThrOQ/YrET/dsBnmh92SfXLc9u10HhmVsNcfJqZmZm1oIiYSvqcz7WBuyX1L9VP0gHAuPzy1/l5uKQeBX3aAZeT/ma7oWiIJ4Dekr5Q1D6c9HEqLWFufu7dQuOZWQ3zR62YmZmZtbCIuFTSmsD5wJOS/g5MJH1250bAfwJb5TYi4u+Sfgx8D3hW0h+Bd0if8/lp0lLenxQd5nJgf9Lnc94CvA18DtgCeIgSs6gr4VFgMfAdSesDs3L7zyNiQfndzMxW5JlPMzMzswqIiAtJhePVpBsFnUD6HM0vAlNIH50yoKD/2cBRwMvA14AzSX+rDQc+HxHvF43/IHAo8BxwJHAcMJX0cSmvtdA5zAMOA57P8V+UH74rrpk1myKacxdwMzMzMzMzs+bzzKeZmZmZmZlVnItPMzMzMzMzqzgXn2ZmZmZmZlZxLj7NzMzMzMys4lx8mpmZmZmZWcW5+DQzMzMzM7OKc/FpZmZmZmZmFefi08zMzMzMzCrOxaeZmZmZmZlV3P8DChvwSOxGMFkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 756x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.gcf()\n",
    "fig.set_size_inches(10.5,15)\n",
    "\n",
    "sns.countplot(y=data['venue'],order=data['venue'].value_counts().index,orient='v',palette='Set2')\n",
    "plt.xticks(fontsize=16)\n",
    "plt.yticks(fontsize=11.5)\n",
    "\n",
    "plt.xlabel('Count',fontsize=20)\n",
    "plt.ylabel('Stadium',fontsize=20)\n",
    "\n",
    "plt.title('Games hosted in each stadium',fontsize=15)\n",
    "\n",
    "count=0\n",
    "venues=pd.DataFrame(data['venue'].value_counts())\n",
    "venues['name']=data['venue'].value_counts().index\n",
    "for i in venues['venue']:\n",
    "    plt.text(i,count+0.2,str(i),size=12)\n",
    "    count+=1\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:03.896625Z",
     "iopub.status.busy": "2020-10-27T15:55:03.895572Z",
     "iopub.status.idle": "2020-10-27T15:55:03.900713Z",
     "shell.execute_reply": "2020-10-27T15:55:03.900094Z"
    },
    "papermill": {
     "duration": 0.101299,
     "end_time": "2020-10-27T15:55:03.900850",
     "exception": false,
     "start_time": "2020-10-27T15:55:03.799551",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>wide_runs</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",
       "    <tr>\n",
       "      <th>match_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</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>0</td>\n",
       "      <td>0</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>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</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>0</td>\n",
       "      <td>0</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>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</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>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</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>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</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>0</td>\n",
       "      <td>0</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>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          inning         batting_team                 bowling_team  over  \\\n",
       "match_id                                                                   \n",
       "1              1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "1              1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "1              1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "1              1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "1              1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "\n",
       "          ball    batsman non_striker    bowler  is_super_over  wide_runs  \\\n",
       "match_id                                                                    \n",
       "1            1  DA Warner    S Dhawan  TS Mills              0          0   \n",
       "1            2  DA Warner    S Dhawan  TS Mills              0          0   \n",
       "1            3  DA Warner    S Dhawan  TS Mills              0          0   \n",
       "1            4  DA Warner    S Dhawan  TS Mills              0          0   \n",
       "1            5  DA Warner    S Dhawan  TS Mills              0          2   \n",
       "\n",
       "          bye_runs  legbye_runs  noball_runs  penalty_runs  batsman_runs  \\\n",
       "match_id                                                                   \n",
       "1                0            0            0             0             0   \n",
       "1                0            0            0             0             0   \n",
       "1                0            0            0             0             4   \n",
       "1                0            0            0             0             0   \n",
       "1                0            0            0             0             0   \n",
       "\n",
       "          extra_runs  total_runs player_dismissed dismissal_kind fielder  \n",
       "match_id                                                                  \n",
       "1                  0           0              NaN            NaN     NaN  \n",
       "1                  0           0              NaN            NaN     NaN  \n",
       "1                  0           4              NaN            NaN     NaN  \n",
       "1                  0           0              NaN            NaN     NaN  \n",
       "1                  2           2              NaN            NaN     NaN  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deliveries.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:04.063449Z",
     "iopub.status.busy": "2020-10-27T15:55:04.062247Z",
     "iopub.status.idle": "2020-10-27T15:55:04.409313Z",
     "shell.execute_reply": "2020-10-27T15:55:04.407860Z"
    },
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "stadium_stats = deliveries.loc[:,[\"batsman_runs\"]].reset_index()\n",
    "stadium_stats[(stadium_stats[\"batsman_runs\"]==4)|(stadium_stats[\"batsman_runs\"]==6)]\n",
    "stadium_stats['boundary'] = stadium_stats[\"batsman_runs\"].apply(lambda x: x if (x==4 or x==6) else 0)\n",
    "stadium_stats['not_boundary'] = stadium_stats[\"batsman_runs\"].apply(lambda x: x if not (x==4 or x==6) else 0)\n",
    "stadium_stats = stadium_stats.groupby('match_id').sum().drop('batsman_runs',axis=1).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:04.610555Z",
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     "shell.execute_reply": "2020-10-27T15:55:04.613954Z"
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     "status": "completed"
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   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>boundary</th>\n",
       "      <th>not_boundary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>230</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>222</td>\n",
       "      <td>137</td>\n",
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       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>236</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>184</td>\n",
       "      <td>127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>168</td>\n",
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      "text/plain": [
       "   match_id  boundary  not_boundary\n",
       "0         1       230           136\n",
       "1         2       222           137\n",
       "2         3       236           112\n",
       "3         4       184           127\n",
       "4         5       168           120"
      ]
     },
     "execution_count": 37,
     "metadata": {},
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   ],
   "source": [
    "stadium_stats.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:04.832488Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "stadium_stats = stadium_stats.merge(data.reset_index()[['id','venue']], how = 'inner',left_on='match_id', right_on = 'id').drop(['id','match_id'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:05.015449Z",
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   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>boundary</th>\n",
       "      <th>not_boundary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>venue</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>M Chinnaswamy Stadium</th>\n",
       "      <td>15308</td>\n",
       "      <td>8948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eden Gardens</th>\n",
       "      <td>13890</td>\n",
       "      <td>8752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wankhede Stadium</th>\n",
       "      <td>13784</td>\n",
       "      <td>8635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feroz Shah Kotla Ground</th>\n",
       "      <td>13150</td>\n",
       "      <td>8893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rajiv Gandhi International Stadium, Uppal</th>\n",
       "      <td>10636</td>\n",
       "      <td>8178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS Bindra Stadium</th>\n",
       "      <td>9852</td>\n",
       "      <td>7466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M. A. Chidambaram Stadium</th>\n",
       "      <td>9422</td>\n",
       "      <td>7614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sawai Mansingh Stadium</th>\n",
       "      <td>7602</td>\n",
       "      <td>6048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maharashtra Cricket Association Stadium</th>\n",
       "      <td>6152</td>\n",
       "      <td>4922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dr DY Patil Sports Academy</th>\n",
       "      <td>2598</td>\n",
       "      <td>1892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kingsmead</th>\n",
       "      <td>2224</td>\n",
       "      <td>1852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brabourne Stadium</th>\n",
       "      <td>2128</td>\n",
       "      <td>1468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACA-VDCA Stadium</th>\n",
       "      <td>2090</td>\n",
       "      <td>1530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sardar Patel Stadium, Motera</th>\n",
       "      <td>2004</td>\n",
       "      <td>1585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SuperSport Park</th>\n",
       "      <td>1992</td>\n",
       "      <td>1448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saurashtra Cricket Association Stadium</th>\n",
       "      <td>1848</td>\n",
       "      <td>1350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Himachal Pradesh Cricket Association Stadium</th>\n",
       "      <td>1844</td>\n",
       "      <td>876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Holkar Cricket Stadium</th>\n",
       "      <td>1830</td>\n",
       "      <td>953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barabati Stadium</th>\n",
       "      <td>1268</td>\n",
       "      <td>927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Wanderers Stadium</th>\n",
       "      <td>1124</td>\n",
       "      <td>1060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JSCA International Stadium Complex</th>\n",
       "      <td>1072</td>\n",
       "      <td>884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dubai International Cricket Stadium</th>\n",
       "      <td>1016</td>\n",
       "      <td>926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sharjah Cricket Stadium</th>\n",
       "      <td>980</td>\n",
       "      <td>748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St George's Park</th>\n",
       "      <td>976</td>\n",
       "      <td>928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Newlands</th>\n",
       "      <td>962</td>\n",
       "      <td>722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shaheed Veer Narayan Singh International Stadium</th>\n",
       "      <td>908</td>\n",
       "      <td>756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sheikh Zayed Stadium</th>\n",
       "      <td>908</td>\n",
       "      <td>925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Green Park</th>\n",
       "      <td>820</td>\n",
       "      <td>416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nehru Stadium</th>\n",
       "      <td>726</td>\n",
       "      <td>560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>De Beers Diamond Oval</th>\n",
       "      <td>452</td>\n",
       "      <td>406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vidarbha Cricket Association Stadium, Jamtha</th>\n",
       "      <td>420</td>\n",
       "      <td>402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Buffalo Park</th>\n",
       "      <td>386</td>\n",
       "      <td>356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OUTsurance Oval</th>\n",
       "      <td>216</td>\n",
       "      <td>272</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  boundary  not_boundary\n",
       "venue                                                                   \n",
       "M Chinnaswamy Stadium                                15308          8948\n",
       "Eden Gardens                                         13890          8752\n",
       "Wankhede Stadium                                     13784          8635\n",
       "Feroz Shah Kotla Ground                              13150          8893\n",
       "Rajiv Gandhi International Stadium, Uppal            10636          8178\n",
       "IS Bindra Stadium                                     9852          7466\n",
       "M. A. Chidambaram Stadium                             9422          7614\n",
       "Sawai Mansingh Stadium                                7602          6048\n",
       "Maharashtra Cricket Association Stadium               6152          4922\n",
       "Dr DY Patil Sports Academy                            2598          1892\n",
       "Kingsmead                                             2224          1852\n",
       "Brabourne Stadium                                     2128          1468\n",
       "ACA-VDCA Stadium                                      2090          1530\n",
       "Sardar Patel Stadium, Motera                          2004          1585\n",
       "SuperSport Park                                       1992          1448\n",
       "Saurashtra Cricket Association Stadium                1848          1350\n",
       "Himachal Pradesh Cricket Association Stadium          1844           876\n",
       "Holkar Cricket Stadium                                1830           953\n",
       "Barabati Stadium                                      1268           927\n",
       "New Wanderers Stadium                                 1124          1060\n",
       "JSCA International Stadium Complex                    1072           884\n",
       "Dubai International Cricket Stadium                   1016           926\n",
       "Sharjah Cricket Stadium                                980           748\n",
       "St George's Park                                       976           928\n",
       "Newlands                                               962           722\n",
       "Shaheed Veer Narayan Singh International Stadium       908           756\n",
       "Sheikh Zayed Stadium                                   908           925\n",
       "Green Park                                             820           416\n",
       "Nehru Stadium                                          726           560\n",
       "De Beers Diamond Oval                                  452           406\n",
       "Vidarbha Cricket Association Stadium, Jamtha           420           402\n",
       "Buffalo Park                                           386           356\n",
       "OUTsurance Oval                                        216           272"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stadium_stats = stadium_stats.groupby('venue').sum().sort_values(\"boundary\",axis=0,ascending=False)\n",
    "stadium_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "execution_count": 40,
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    {
     "data": {
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       "      <th>Himachal Pradesh Cricket Association Stadium</th>\n",
       "      <td>67.794118</td>\n",
       "      <td>32.205882</td>\n",
       "      <td>9</td>\n",
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       "      <th>Green Park</th>\n",
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       "      <td>4</td>\n",
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       "      <th>Holkar Cricket Stadium</th>\n",
       "      <td>65.756378</td>\n",
       "      <td>34.243622</td>\n",
       "      <td>9</td>\n",
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       "      <th>M Chinnaswamy Stadium</th>\n",
       "      <td>63.110158</td>\n",
       "      <td>36.889842</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wankhede Stadium</th>\n",
       "      <td>61.483563</td>\n",
       "      <td>38.516437</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eden Gardens</th>\n",
       "      <td>61.346171</td>\n",
       "      <td>38.653829</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feroz Shah Kotla Ground</th>\n",
       "      <td>59.656127</td>\n",
       "      <td>40.343873</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brabourne Stadium</th>\n",
       "      <td>59.176863</td>\n",
       "      <td>40.823137</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SuperSport Park</th>\n",
       "      <td>57.906977</td>\n",
       "      <td>42.093023</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dr DY Patil Sports Academy</th>\n",
       "      <td>57.861915</td>\n",
       "      <td>42.138085</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saurashtra Cricket Association Stadium</th>\n",
       "      <td>57.786116</td>\n",
       "      <td>42.213884</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barabati Stadium</th>\n",
       "      <td>57.767654</td>\n",
       "      <td>42.232346</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACA-VDCA Stadium</th>\n",
       "      <td>57.734807</td>\n",
       "      <td>42.265193</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Newlands</th>\n",
       "      <td>57.125891</td>\n",
       "      <td>42.874109</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS Bindra Stadium</th>\n",
       "      <td>56.888786</td>\n",
       "      <td>43.111214</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sharjah Cricket Stadium</th>\n",
       "      <td>56.712963</td>\n",
       "      <td>43.287037</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rajiv Gandhi International Stadium, Uppal</th>\n",
       "      <td>56.532370</td>\n",
       "      <td>43.467630</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nehru Stadium</th>\n",
       "      <td>56.454121</td>\n",
       "      <td>43.545879</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sardar Patel Stadium, Motera</th>\n",
       "      <td>55.837281</td>\n",
       "      <td>44.162719</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sawai Mansingh Stadium</th>\n",
       "      <td>55.692308</td>\n",
       "      <td>44.307692</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maharashtra Cricket Association Stadium</th>\n",
       "      <td>55.553549</td>\n",
       "      <td>44.446451</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M. A. Chidambaram Stadium</th>\n",
       "      <td>55.306410</td>\n",
       "      <td>44.693590</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JSCA International Stadium Complex</th>\n",
       "      <td>54.805726</td>\n",
       "      <td>45.194274</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shaheed Veer Narayan Singh International Stadium</th>\n",
       "      <td>54.567308</td>\n",
       "      <td>45.432692</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kingsmead</th>\n",
       "      <td>54.563297</td>\n",
       "      <td>45.436703</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>De Beers Diamond Oval</th>\n",
       "      <td>52.680653</td>\n",
       "      <td>47.319347</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dubai International Cricket Stadium</th>\n",
       "      <td>52.317199</td>\n",
       "      <td>47.682801</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Buffalo Park</th>\n",
       "      <td>52.021563</td>\n",
       "      <td>47.978437</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Wanderers Stadium</th>\n",
       "      <td>51.465201</td>\n",
       "      <td>48.534799</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St George's Park</th>\n",
       "      <td>51.260504</td>\n",
       "      <td>48.739496</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vidarbha Cricket Association Stadium, Jamtha</th>\n",
       "      <td>51.094891</td>\n",
       "      <td>48.905109</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sheikh Zayed Stadium</th>\n",
       "      <td>49.536279</td>\n",
       "      <td>50.463721</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OUTsurance Oval</th>\n",
       "      <td>44.262295</td>\n",
       "      <td>55.737705</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   boundary  not_boundary  \\\n",
       "venue                                                                       \n",
       "Himachal Pradesh Cricket Association Stadium      67.794118     32.205882   \n",
       "Green Park                                        66.343042     33.656958   \n",
       "Holkar Cricket Stadium                            65.756378     34.243622   \n",
       "M Chinnaswamy Stadium                             63.110158     36.889842   \n",
       "Wankhede Stadium                                  61.483563     38.516437   \n",
       "Eden Gardens                                      61.346171     38.653829   \n",
       "Feroz Shah Kotla Ground                           59.656127     40.343873   \n",
       "Brabourne Stadium                                 59.176863     40.823137   \n",
       "SuperSport Park                                   57.906977     42.093023   \n",
       "Dr DY Patil Sports Academy                        57.861915     42.138085   \n",
       "Saurashtra Cricket Association Stadium            57.786116     42.213884   \n",
       "Barabati Stadium                                  57.767654     42.232346   \n",
       "ACA-VDCA Stadium                                  57.734807     42.265193   \n",
       "Newlands                                          57.125891     42.874109   \n",
       "IS Bindra Stadium                                 56.888786     43.111214   \n",
       "Sharjah Cricket Stadium                           56.712963     43.287037   \n",
       "Rajiv Gandhi International Stadium, Uppal         56.532370     43.467630   \n",
       "Nehru Stadium                                     56.454121     43.545879   \n",
       "Sardar Patel Stadium, Motera                      55.837281     44.162719   \n",
       "Sawai Mansingh Stadium                            55.692308     44.307692   \n",
       "Maharashtra Cricket Association Stadium           55.553549     44.446451   \n",
       "M. A. Chidambaram Stadium                         55.306410     44.693590   \n",
       "JSCA International Stadium Complex                54.805726     45.194274   \n",
       "Shaheed Veer Narayan Singh International Stadium  54.567308     45.432692   \n",
       "Kingsmead                                         54.563297     45.436703   \n",
       "De Beers Diamond Oval                             52.680653     47.319347   \n",
       "Dubai International Cricket Stadium               52.317199     47.682801   \n",
       "Buffalo Park                                      52.021563     47.978437   \n",
       "New Wanderers Stadium                             51.465201     48.534799   \n",
       "St George's Park                                  51.260504     48.739496   \n",
       "Vidarbha Cricket Association Stadium, Jamtha      51.094891     48.905109   \n",
       "Sheikh Zayed Stadium                              49.536279     50.463721   \n",
       "OUTsurance Oval                                   44.262295     55.737705   \n",
       "\n",
       "                                                  no_of_matches  \n",
       "venue                                                            \n",
       "Himachal Pradesh Cricket Association Stadium                  9  \n",
       "Green Park                                                    4  \n",
       "Holkar Cricket Stadium                                        9  \n",
       "M Chinnaswamy Stadium                                        80  \n",
       "Wankhede Stadium                                             73  \n",
       "Eden Gardens                                                 77  \n",
       "Feroz Shah Kotla Ground                                      74  \n",
       "Brabourne Stadium                                            11  \n",
       "SuperSport Park                                              12  \n",
       "Dr DY Patil Sports Academy                                   17  \n",
       "Saurashtra Cricket Association Stadium                       10  \n",
       "Barabati Stadium                                              7  \n",
       "ACA-VDCA Stadium                                             13  \n",
       "Newlands                                                      7  \n",
       "IS Bindra Stadium                                            56  \n",
       "Sharjah Cricket Stadium                                       6  \n",
       "Rajiv Gandhi International Stadium, Uppal                    64  \n",
       "Nehru Stadium                                                 5  \n",
       "Sardar Patel Stadium, Motera                                 12  \n",
       "Sawai Mansingh Stadium                                       47  \n",
       "Maharashtra Cricket Association Stadium                      38  \n",
       "M. A. Chidambaram Stadium                                    57  \n",
       "JSCA International Stadium Complex                            7  \n",
       "Shaheed Veer Narayan Singh International Stadium              6  \n",
       "Kingsmead                                                    15  \n",
       "De Beers Diamond Oval                                         3  \n",
       "Dubai International Cricket Stadium                           7  \n",
       "Buffalo Park                                                  3  \n",
       "New Wanderers Stadium                                         8  \n",
       "St George's Park                                              7  \n",
       "Vidarbha Cricket Association Stadium, Jamtha                  3  \n",
       "Sheikh Zayed Stadium                                          7  \n",
       "OUTsurance Oval                                               2  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['boundary','not_boundary']\n",
    "tmp = stadium_stats.copy()\n",
    "tmp[cols] = tmp[cols].div(tmp[cols].sum(axis=1), axis=0).multiply(100)\n",
    "tmp[\"no_of_matches\"] = venues['venue'][tmp.index]\n",
    "tmp=tmp.sort_values('boundary',axis=0,ascending=False)\n",
    "tmp"
   ]
  },
  {
   "cell_type": "code",
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    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>boundary</th>\n",
       "      <th>not_boundary</th>\n",
       "      <th>no_of_matches</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>venue</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>M Chinnaswamy Stadium</th>\n",
       "      <td>63.110158</td>\n",
       "      <td>36.889842</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wankhede Stadium</th>\n",
       "      <td>61.483563</td>\n",
       "      <td>38.516437</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eden Gardens</th>\n",
       "      <td>61.346171</td>\n",
       "      <td>38.653829</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feroz Shah Kotla Ground</th>\n",
       "      <td>59.656127</td>\n",
       "      <td>40.343873</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS Bindra Stadium</th>\n",
       "      <td>56.888786</td>\n",
       "      <td>43.111214</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rajiv Gandhi International Stadium, Uppal</th>\n",
       "      <td>56.532370</td>\n",
       "      <td>43.467630</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sawai Mansingh Stadium</th>\n",
       "      <td>55.692308</td>\n",
       "      <td>44.307692</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maharashtra Cricket Association Stadium</th>\n",
       "      <td>55.553549</td>\n",
       "      <td>44.446451</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M. A. Chidambaram Stadium</th>\n",
       "      <td>55.306410</td>\n",
       "      <td>44.693590</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            boundary  not_boundary  \\\n",
       "venue                                                                \n",
       "M Chinnaswamy Stadium                      63.110158     36.889842   \n",
       "Wankhede Stadium                           61.483563     38.516437   \n",
       "Eden Gardens                               61.346171     38.653829   \n",
       "Feroz Shah Kotla Ground                    59.656127     40.343873   \n",
       "IS Bindra Stadium                          56.888786     43.111214   \n",
       "Rajiv Gandhi International Stadium, Uppal  56.532370     43.467630   \n",
       "Sawai Mansingh Stadium                     55.692308     44.307692   \n",
       "Maharashtra Cricket Association Stadium    55.553549     44.446451   \n",
       "M. A. Chidambaram Stadium                  55.306410     44.693590   \n",
       "\n",
       "                                           no_of_matches  \n",
       "venue                                                     \n",
       "M Chinnaswamy Stadium                                 80  \n",
       "Wankhede Stadium                                      73  \n",
       "Eden Gardens                                          77  \n",
       "Feroz Shah Kotla Ground                               74  \n",
       "IS Bindra Stadium                                     56  \n",
       "Rajiv Gandhi International Stadium, Uppal             64  \n",
       "Sawai Mansingh Stadium                                47  \n",
       "Maharashtra Cricket Association Stadium               38  \n",
       "M. A. Chidambaram Stadium                             57  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmp[tmp[\"no_of_matches\"]>20]"
   ]
  },
  {
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   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"12\" halign=\"left\">season</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>winner</th>\n",
       "      <th>Chennai Super Kings</th>\n",
       "      <th>Delhi Capitals</th>\n",
       "      <th>Gujarat Lions</th>\n",
       "      <th>Kings XI Punjab</th>\n",
       "      <th>Kochi Tuskers Kerala</th>\n",
       "      <th>Kolkata Knight Riders</th>\n",
       "      <th>Mumbai Indians</th>\n",
       "      <th>Pune Warriors</th>\n",
       "      <th>Rajasthan Royals</th>\n",
       "      <th>Rising Pune Supergiants</th>\n",
       "      <th>Royal Challengers Bangalore</th>\n",
       "      <th>Sunrisers Hyderabad</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>venue</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Eden Gardens</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feroz Shah Kotla Ground</th>\n",
       "      <td>6.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS Bindra Stadium</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M Chinnaswamy Stadium</th>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M. A. Chidambaram Stadium</th>\n",
       "      <td>40.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maharashtra Cricket Association Stadium</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rajiv Gandhi International Stadium, Uppal</th>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sawai Mansingh Stadium</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wankhede Stadium</th>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       season                 \\\n",
       "winner                                    Chennai Super Kings Delhi Capitals   \n",
       "venue                                                                          \n",
       "Eden Gardens                                              5.0            2.0   \n",
       "Feroz Shah Kotla Ground                                   6.0           31.0   \n",
       "IS Bindra Stadium                                         3.0            1.0   \n",
       "M Chinnaswamy Stadium                                     5.0            4.0   \n",
       "M. A. Chidambaram Stadium                                40.0            2.0   \n",
       "Maharashtra Cricket Association Stadium                   6.0            3.0   \n",
       "Rajiv Gandhi International Stadium, Uppal                 3.0            5.0   \n",
       "Sawai Mansingh Stadium                                    3.0            2.0   \n",
       "Wankhede Stadium                                          7.0            3.0   \n",
       "\n",
       "                                                                         \\\n",
       "winner                                    Gujarat Lions Kings XI Punjab   \n",
       "venue                                                                     \n",
       "Eden Gardens                                        2.0             3.0   \n",
       "Feroz Shah Kotla Ground                             1.0             5.0   \n",
       "IS Bindra Stadium                                   2.0            30.0   \n",
       "M Chinnaswamy Stadium                               1.0             5.0   \n",
       "M. A. Chidambaram Stadium                           NaN             2.0   \n",
       "Maharashtra Cricket Association Stadium             1.0             1.0   \n",
       "Rajiv Gandhi International Stadium, Uppal           NaN             4.0   \n",
       "Sawai Mansingh Stadium                              NaN             1.0   \n",
       "Wankhede Stadium                                    1.0             5.0   \n",
       "\n",
       "                                                                \\\n",
       "winner                                    Kochi Tuskers Kerala   \n",
       "venue                                                            \n",
       "Eden Gardens                                               1.0   \n",
       "Feroz Shah Kotla Ground                                    1.0   \n",
       "IS Bindra Stadium                                          NaN   \n",
       "M Chinnaswamy Stadium                                      NaN   \n",
       "M. A. Chidambaram Stadium                                  NaN   \n",
       "Maharashtra Cricket Association Stadium                    NaN   \n",
       "Rajiv Gandhi International Stadium, Uppal                  NaN   \n",
       "Sawai Mansingh Stadium                                     NaN   \n",
       "Wankhede Stadium                                           1.0   \n",
       "\n",
       "                                                                 \\\n",
       "winner                                    Kolkata Knight Riders   \n",
       "venue                                                             \n",
       "Eden Gardens                                               45.0   \n",
       "Feroz Shah Kotla Ground                                     5.0   \n",
       "IS Bindra Stadium                                           4.0   \n",
       "M Chinnaswamy Stadium                                       8.0   \n",
       "M. A. Chidambaram Stadium                                   2.0   \n",
       "Maharashtra Cricket Association Stadium                     6.0   \n",
       "Rajiv Gandhi International Stadium, Uppal                   5.0   \n",
       "Sawai Mansingh Stadium                                      3.0   \n",
       "Wankhede Stadium                                            1.0   \n",
       "\n",
       "                                                                        \\\n",
       "winner                                    Mumbai Indians Pune Warriors   \n",
       "venue                                                                    \n",
       "Eden Gardens                                        10.0           NaN   \n",
       "Feroz Shah Kotla Ground                              4.0           1.0   \n",
       "IS Bindra Stadium                                    4.0           1.0   \n",
       "M Chinnaswamy Stadium                                9.0           NaN   \n",
       "M. A. Chidambaram Stadium                            5.0           1.0   \n",
       "Maharashtra Cricket Association Stadium              4.0           4.0   \n",
       "Rajiv Gandhi International Stadium, Uppal            7.0           1.0   \n",
       "Sawai Mansingh Stadium                               2.0           NaN   \n",
       "Wankhede Stadium                                    42.0           1.0   \n",
       "\n",
       "                                                            \\\n",
       "winner                                    Rajasthan Royals   \n",
       "venue                                                        \n",
       "Eden Gardens                                           2.0   \n",
       "Feroz Shah Kotla Ground                                4.0   \n",
       "IS Bindra Stadium                                      3.0   \n",
       "M Chinnaswamy Stadium                                  4.0   \n",
       "M. A. Chidambaram Stadium                              1.0   \n",
       "Maharashtra Cricket Association Stadium                2.0   \n",
       "Rajiv Gandhi International Stadium, Uppal              2.0   \n",
       "Sawai Mansingh Stadium                                32.0   \n",
       "Wankhede Stadium                                       4.0   \n",
       "\n",
       "                                                                   \\\n",
       "winner                                    Rising Pune Supergiants   \n",
       "venue                                                               \n",
       "Eden Gardens                                                  1.0   \n",
       "Feroz Shah Kotla Ground                                       1.0   \n",
       "IS Bindra Stadium                                             NaN   \n",
       "M Chinnaswamy Stadium                                         1.0   \n",
       "M. A. Chidambaram Stadium                                     NaN   \n",
       "Maharashtra Cricket Association Stadium                       5.0   \n",
       "Rajiv Gandhi International Stadium, Uppal                     2.0   \n",
       "Sawai Mansingh Stadium                                        NaN   \n",
       "Wankhede Stadium                                              3.0   \n",
       "\n",
       "                                                                       \\\n",
       "winner                                    Royal Challengers Bangalore   \n",
       "venue                                                                   \n",
       "Eden Gardens                                                      4.0   \n",
       "Feroz Shah Kotla Ground                                           6.0   \n",
       "IS Bindra Stadium                                                 4.0   \n",
       "M Chinnaswamy Stadium                                            37.0   \n",
       "M. A. Chidambaram Stadium                                         2.0   \n",
       "Maharashtra Cricket Association Stadium                           4.0   \n",
       "Rajiv Gandhi International Stadium, Uppal                         2.0   \n",
       "Sawai Mansingh Stadium                                            3.0   \n",
       "Wankhede Stadium                                                  3.0   \n",
       "\n",
       "                                                               \n",
       "winner                                    Sunrisers Hyderabad  \n",
       "venue                                                          \n",
       "Eden Gardens                                              2.0  \n",
       "Feroz Shah Kotla Ground                                   8.0  \n",
       "IS Bindra Stadium                                         4.0  \n",
       "M Chinnaswamy Stadium                                     3.0  \n",
       "M. A. Chidambaram Stadium                                 2.0  \n",
       "Maharashtra Cricket Association Stadium                   2.0  \n",
       "Rajiv Gandhi International Stadium, Uppal                33.0  \n",
       "Sawai Mansingh Stadium                                    1.0  \n",
       "Wankhede Stadium                                          2.0  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stadiums=['M Chinnaswamy Stadium', 'Wankhede Stadium', 'Eden Gardens',\n",
    "       'Feroz Shah Kotla Ground', 'IS Bindra Stadium',\n",
    "       'Rajiv Gandhi International Stadium, Uppal', 'Sawai Mansingh Stadium',\n",
    "       'Maharashtra Cricket Association Stadium', 'M. A. Chidambaram Stadium']\n",
    "\n",
    "sample = data[data[\"venue\"].isin(stadiums)]\n",
    "sample.groupby([\"venue\",\"winner\"]).count()[\"season\"].to_frame().reset_index().pivot(index='venue',columns=\"winner\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:05.949180Z",
     "iopub.status.busy": "2020-10-27T15:55:05.939826Z",
     "iopub.status.idle": "2020-10-27T15:55:05.954709Z",
     "shell.execute_reply": "2020-10-27T15:55:05.953943Z"
    },
    "papermill": {
     "duration": 0.131404,
     "end_time": "2020-10-27T15:55:05.954838",
     "exception": false,
     "start_time": "2020-10-27T15:55:05.823434",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['A Ashish Reddy',\n",
       " 'A Chopra',\n",
       " 'A Choudhary',\n",
       " 'A Flintoff',\n",
       " 'A Hales',\n",
       " 'A Kumble',\n",
       " 'A Mishra',\n",
       " 'A Mithun',\n",
       " 'A Mukund',\n",
       " 'A Nehra',\n",
       " 'A Nel',\n",
       " 'A Singh',\n",
       " 'A Symonds',\n",
       " 'A Turner',\n",
       " 'A Uniyal',\n",
       " 'A Zampa',\n",
       " 'AA Bilakhia',\n",
       " 'AA Chavan',\n",
       " 'AA Jhunjhunwala',\n",
       " 'AA Noffke',\n",
       " 'AB Agarkar',\n",
       " 'AB Barath',\n",
       " 'AB Dinda',\n",
       " 'AB McDonald',\n",
       " 'AB de Villiers',\n",
       " 'AC Blizzard',\n",
       " 'AC Gilchrist',\n",
       " 'AC Thomas',\n",
       " 'AC Voges',\n",
       " 'AD Mascarenhas',\n",
       " 'AD Mathews',\n",
       " 'AD Nath',\n",
       " 'AD Russell',\n",
       " 'AF Milne',\n",
       " 'AG Murtaza',\n",
       " 'AG Paunikar',\n",
       " 'AJ Finch',\n",
       " 'AJ Tye',\n",
       " 'AL Menaria',\n",
       " 'AM Nayar',\n",
       " 'AM Rahane',\n",
       " 'AN Ahmed',\n",
       " 'AN Ghosh',\n",
       " 'AP Dole',\n",
       " 'AP Majumdar',\n",
       " 'AP Tare',\n",
       " 'AR Patel',\n",
       " 'AS Rajpoot',\n",
       " 'AS Raut',\n",
       " 'AS Yadav',\n",
       " 'AT Rayudu',\n",
       " 'AUK Pathan',\n",
       " 'Anirudh Singh',\n",
       " 'Ankit Sharma',\n",
       " 'Ankit Soni',\n",
       " 'Anureet Singh',\n",
       " 'Azhar Mahmood',\n",
       " 'B Akhil',\n",
       " 'B Chipli',\n",
       " 'B Kumar',\n",
       " 'B Laughlin',\n",
       " 'B Lee',\n",
       " 'B Sumanth',\n",
       " 'BA Bhatt',\n",
       " 'BA Stokes',\n",
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       " 'BB McCullum',\n",
       " 'BB Samantray',\n",
       " 'BB Sran',\n",
       " 'BCJ Cutting',\n",
       " 'BE Hendricks',\n",
       " 'BJ Haddin',\n",
       " 'BJ Hodge',\n",
       " 'BJ Rohrer',\n",
       " 'BMAJ Mendis',\n",
       " 'BR Dunk',\n",
       " 'Basil Thampi',\n",
       " 'Bipul Sharma',\n",
       " 'C Ingram',\n",
       " 'C Madan',\n",
       " 'C Munro',\n",
       " 'C Nanda',\n",
       " 'C de Grandhomme',\n",
       " 'CA Ingram',\n",
       " 'CA Lynn',\n",
       " 'CA Pujara',\n",
       " 'CH Gayle',\n",
       " 'CH Morris',\n",
       " 'CJ Anderson',\n",
       " 'CJ Ferguson',\n",
       " 'CJ Jordan',\n",
       " 'CJ McKay',\n",
       " 'CK Kapugedera',\n",
       " 'CK Langeveldt',\n",
       " 'CL White',\n",
       " 'CM Gautam',\n",
       " 'CR Brathwaite',\n",
       " 'CR Woakes',\n",
       " 'D Kalyankrishna',\n",
       " 'D Salunkhe',\n",
       " 'D Shorey',\n",
       " 'D Short',\n",
       " 'D Wiese',\n",
       " 'D du Preez',\n",
       " 'DA Miller',\n",
       " 'DA Warner',\n",
       " 'DB Das',\n",
       " 'DB Ravi Teja',\n",
       " 'DE Bollinger',\n",
       " 'DH Yagnik',\n",
       " 'DJ Bravo',\n",
       " 'DJ Harris',\n",
       " 'DJ Hooda',\n",
       " 'DJ Hussey',\n",
       " 'DJ Jacobs',\n",
       " 'DJ Muthuswami',\n",
       " 'DJ Thornely',\n",
       " 'DJG Sammy',\n",
       " 'DL Chahar',\n",
       " 'DL Vettori',\n",
       " 'DNT Zoysa',\n",
       " 'DP Nannes',\n",
       " 'DPMD Jayawardene',\n",
       " 'DR Martyn',\n",
       " 'DR Smith',\n",
       " 'DS Kulkarni',\n",
       " 'DS Lehmann',\n",
       " 'DT Christian',\n",
       " 'DT Patil',\n",
       " 'DW Steyn',\n",
       " 'E Lewis',\n",
       " 'EJG Morgan',\n",
       " 'ER Dwivedi',\n",
       " 'F Behardien',\n",
       " 'F du Plessis',\n",
       " 'FH Edwards',\n",
       " 'FY Fazal',\n",
       " 'G Gambhir',\n",
       " 'GB Hogg',\n",
       " 'GC Smith',\n",
       " 'GD McGrath',\n",
       " 'GH Vihari',\n",
       " 'GJ Bailey',\n",
       " 'GJ Maxwell',\n",
       " 'GR Napier',\n",
       " 'Gurkeerat Singh',\n",
       " 'H Das',\n",
       " 'H Klaasen',\n",
       " 'H Vihari',\n",
       " 'H Viljoen',\n",
       " 'HH Gibbs',\n",
       " 'HH Pandya',\n",
       " 'HM Amla',\n",
       " 'HV Patel',\n",
       " 'Harbhajan Singh',\n",
       " 'Harmeet Singh',\n",
       " 'Harpreet Singh',\n",
       " 'I Sharma',\n",
       " 'I Sodhi',\n",
       " 'IC Pandey',\n",
       " 'IK Pathan',\n",
       " 'IR Jaggi',\n",
       " 'Imran Tahir',\n",
       " 'Iqbal Abdulla',\n",
       " 'Ishan Kishan',\n",
       " 'J Archer',\n",
       " 'J Arunkumar',\n",
       " 'J Bairstow',\n",
       " 'J Botha',\n",
       " 'J Denly',\n",
       " 'J Searles',\n",
       " 'J Suchith',\n",
       " 'J Syed Mohammad',\n",
       " 'J Theron',\n",
       " 'J Yadav',\n",
       " 'JA Morkel',\n",
       " 'JC Buttler',\n",
       " 'JD Ryder',\n",
       " 'JD Unadkat',\n",
       " 'JDP Oram',\n",
       " 'JDS Neesham',\n",
       " 'JE Taylor',\n",
       " 'JEC Franklin',\n",
       " 'JH Kallis',\n",
       " 'JJ Bumrah',\n",
       " 'JJ Roy',\n",
       " 'JJ van der Wath',\n",
       " 'JM Kemp',\n",
       " 'JO Holder',\n",
       " 'JP Duminy',\n",
       " 'JP Faulkner',\n",
       " 'JR Hopes',\n",
       " 'Jaskaran Singh',\n",
       " 'Joginder Sharma',\n",
       " 'K Ahmed',\n",
       " 'K Goel',\n",
       " 'K Gowtham',\n",
       " 'K Paul',\n",
       " 'K Rabada',\n",
       " 'KA Pollard',\n",
       " 'KAJ Roach',\n",
       " 'KB Arun Karthik',\n",
       " 'KC Cariappa',\n",
       " 'KC Sangakkara',\n",
       " 'KD Karthik',\n",
       " 'KH Pandya',\n",
       " 'KJ Abbott',\n",
       " 'KK Cooper',\n",
       " 'KK Nair',\n",
       " 'KL Rahul',\n",
       " 'KM Jadhav',\n",
       " 'KP Appanna',\n",
       " 'KP Pietersen',\n",
       " 'KS Williamson',\n",
       " 'KV Sharma',\n",
       " 'KW Richardson',\n",
       " 'Kamran Akmal',\n",
       " 'Kamran Khan',\n",
       " 'Karanveer Singh',\n",
       " 'Kuldeep Yadav',\n",
       " 'L Balaji',\n",
       " 'L Livingstone',\n",
       " 'L Plunkett',\n",
       " 'L Ronchi',\n",
       " 'LA Carseldine',\n",
       " 'LA Pomersbach',\n",
       " 'LJ Wright',\n",
       " 'LMP Simmons',\n",
       " 'LPC Silva',\n",
       " 'LR Shukla',\n",
       " 'LRPL Taylor',\n",
       " 'M Ali',\n",
       " 'M Ashwin',\n",
       " 'M Kaif',\n",
       " 'M Kartik',\n",
       " 'M Klinger',\n",
       " 'M Lomror',\n",
       " 'M Manhas',\n",
       " 'M Markande',\n",
       " 'M Morkel',\n",
       " 'M Muralitharan',\n",
       " 'M Ntini',\n",
       " 'M Rawat',\n",
       " 'M Santner',\n",
       " 'M Ur Rahman',\n",
       " 'M Vijay',\n",
       " 'M Vohra',\n",
       " 'M Wood',\n",
       " 'M de Lange',\n",
       " 'MA Agarwal',\n",
       " 'MA Khote',\n",
       " 'MA Starc',\n",
       " 'MC Henriques',\n",
       " 'MC Juneja',\n",
       " 'MD Mishra',\n",
       " 'MDKJ Perera',\n",
       " 'MEK Hussey',\n",
       " 'MF Maharoof',\n",
       " 'MG Johnson',\n",
       " 'MJ Clarke',\n",
       " 'MJ Guptill',\n",
       " 'MJ Lumb',\n",
       " 'MJ McClenaghan',\n",
       " 'MK Pandey',\n",
       " 'MK Tiwary',\n",
       " 'ML Hayden',\n",
       " 'MM Patel',\n",
       " 'MM Sharma',\n",
       " 'MN Samuels',\n",
       " 'MN van Wyk',\n",
       " 'MP Stoinis',\n",
       " 'MR Marsh',\n",
       " 'MS Bisla',\n",
       " 'MS Dhoni',\n",
       " 'MS Gony',\n",
       " 'MS Wade',\n",
       " 'MV Boucher',\n",
       " 'Mandeep Singh',\n",
       " 'Misbah-ul-Haq',\n",
       " 'Mohammad Ashraful',\n",
       " 'Mohammad Asif',\n",
       " 'Mohammad Hafeez',\n",
       " 'Mohammad Nabi',\n",
       " 'Mohammed Shami',\n",
       " 'Mohammed Siraj',\n",
       " 'Mustafizur Rahman',\n",
       " 'N Naik',\n",
       " 'N Pooran',\n",
       " 'N Rana',\n",
       " 'N Saini',\n",
       " 'ND Doshi',\n",
       " 'NJ Maddinson',\n",
       " 'NL McCullum',\n",
       " 'NLTC Perera',\n",
       " 'NM Coulter-Nile',\n",
       " 'NS Naik',\n",
       " 'NV Ojha',\n",
       " 'Niraj Patel',\n",
       " 'OA Shah',\n",
       " 'P Awana',\n",
       " 'P Chopra',\n",
       " 'P Dogra',\n",
       " 'P Krishna',\n",
       " 'P Kumar',\n",
       " 'P Negi',\n",
       " 'P R Barman',\n",
       " 'P Sahu',\n",
       " 'P Shaw',\n",
       " 'PA Patel',\n",
       " 'PA Reddy',\n",
       " 'PC Valthaty',\n",
       " 'PD Collingwood',\n",
       " 'PJ Cummins',\n",
       " 'PJ Sangwan',\n",
       " 'PP Chawla',\n",
       " 'PP Ojha',\n",
       " 'PR Shah',\n",
       " 'PSP Handscomb',\n",
       " 'PV Tambe',\n",
       " 'Pankaj Singh',\n",
       " 'Parvez Rasool',\n",
       " 'Q de Kock',\n",
       " 'R Ashwin',\n",
       " 'R Bhatia',\n",
       " 'R Bhui',\n",
       " 'R Bishnoi',\n",
       " 'R Dhawan',\n",
       " 'R Dravid',\n",
       " 'R McLaren',\n",
       " 'R Ninan',\n",
       " 'R Parag',\n",
       " 'R Rampaul',\n",
       " 'R Sathish',\n",
       " 'R Sharma',\n",
       " 'R Shukla',\n",
       " 'R Singh',\n",
       " 'R Tewatia',\n",
       " 'R Vinay Kumar',\n",
       " 'RA Jadeja',\n",
       " 'RA Tripathi',\n",
       " 'RD Chahar',\n",
       " 'RE Levi',\n",
       " 'RE van der Merwe',\n",
       " 'RG Sharma',\n",
       " 'RJ Harris',\n",
       " 'RJ Peterson',\n",
       " 'RJ Quiney',\n",
       " 'RN ten Doeschate',\n",
       " 'RP Singh',\n",
       " 'RR Bhatkal',\n",
       " 'RR Pant',\n",
       " 'RR Powar',\n",
       " 'RR Raje',\n",
       " 'RR Rossouw',\n",
       " 'RR Sarwan',\n",
       " 'RS Bopara',\n",
       " 'RS Gavaskar',\n",
       " 'RT Ponting',\n",
       " 'RV Gomez',\n",
       " 'RV Uthappa',\n",
       " 'Rashid Khan',\n",
       " 'S Anirudha',\n",
       " 'S Aravind',\n",
       " 'S Badree',\n",
       " 'S Badrinath',\n",
       " 'S Chanderpaul',\n",
       " 'S Curran',\n",
       " 'S Dhawan',\n",
       " 'S Dube',\n",
       " 'S Gill',\n",
       " 'S Gopal',\n",
       " 'S Hetmyer',\n",
       " 'S Kaul',\n",
       " 'S Kaushik',\n",
       " 'S Ladda',\n",
       " 'S Lamichhane',\n",
       " 'S Mavi',\n",
       " 'S Nadeem',\n",
       " 'S Narwal',\n",
       " 'S Rana',\n",
       " 'S Randiv',\n",
       " 'S Rutherford',\n",
       " 'S Singh',\n",
       " 'S Sohal',\n",
       " 'S Sreesanth',\n",
       " 'S Sriram',\n",
       " 'S Tyagi',\n",
       " 'S Vidyut',\n",
       " 'SA Abbott',\n",
       " 'SA Asnodkar',\n",
       " 'SA Yadav',\n",
       " 'SB Bangar',\n",
       " 'SB Jakati',\n",
       " 'SB Joshi',\n",
       " 'SB Styris',\n",
       " 'SB Wagh',\n",
       " 'SC Ganguly',\n",
       " 'SD Chitnis',\n",
       " 'SD Lad',\n",
       " 'SE Bond',\n",
       " 'SE Marsh',\n",
       " 'SJ Srivastava',\n",
       " 'SK Raina',\n",
       " 'SK Trivedi',\n",
       " 'SK Warne',\n",
       " 'SL Malinga',\n",
       " 'SM Katich',\n",
       " 'SM Pollock',\n",
       " 'SMSM Senanayake',\n",
       " 'SN Khan',\n",
       " 'SN Thakur',\n",
       " 'SP Fleming',\n",
       " 'SP Goswami',\n",
       " 'SP Jackson',\n",
       " 'SP Narine',\n",
       " 'SPD Smith',\n",
       " 'SR Tendulkar',\n",
       " 'SR Watson',\n",
       " 'SS Iyer',\n",
       " 'SS Shaikh',\n",
       " 'SS Tiwary',\n",
       " 'ST Jayasuriya',\n",
       " 'STR Binny',\n",
       " 'SV Samson',\n",
       " 'SW Billings',\n",
       " 'SW Tait',\n",
       " 'Sachin Baby',\n",
       " 'Salman Butt',\n",
       " 'Sandeep Sharma',\n",
       " 'Shahid Afridi',\n",
       " 'Shakib Al Hasan',\n",
       " 'Shivam Sharma',\n",
       " 'Shoaib Ahmed',\n",
       " 'Shoaib Akhtar',\n",
       " 'Shoaib Malik',\n",
       " 'Sohail Tanvir',\n",
       " 'Sunny Gupta',\n",
       " 'Sunny Singh',\n",
       " 'Swapnil Singh',\n",
       " 'T Curran',\n",
       " 'T Henderson',\n",
       " 'T Kohli',\n",
       " 'T Taibu',\n",
       " 'T Thushara',\n",
       " 'TA Boult',\n",
       " 'TD Paine',\n",
       " 'TG Southee',\n",
       " 'TL Suman',\n",
       " 'TM Dilshan',\n",
       " 'TM Head',\n",
       " 'TM Srivastava',\n",
       " 'TR Birt',\n",
       " 'TS Mills',\n",
       " 'UA Birla',\n",
       " 'UBT Chand',\n",
       " 'UT Khawaja',\n",
       " 'UT Yadav',\n",
       " 'Umar Gul',\n",
       " 'V Kohli',\n",
       " 'V Pratap Singh',\n",
       " 'V Sehwag',\n",
       " 'V Shankar',\n",
       " 'VH Zol',\n",
       " 'VR Aaron',\n",
       " 'VRV Singh',\n",
       " 'VS Malik',\n",
       " 'VS Yeligati',\n",
       " 'VVS Laxman',\n",
       " 'VY Mahesh',\n",
       " 'Vishnu Vinod',\n",
       " 'W Jaffer',\n",
       " 'WA Mota',\n",
       " 'WD Parnell',\n",
       " 'WP Saha',\n",
       " 'WPUJC Vaas',\n",
       " 'Washington Sundar',\n",
       " 'X Thalaivan Sargunam',\n",
       " 'Y Gnaneswara Rao',\n",
       " 'Y Nagar',\n",
       " 'Y Venugopal Rao',\n",
       " 'YK Pathan',\n",
       " 'YS Chahal',\n",
       " 'YV Takawale',\n",
       " 'Yashpal Singh',\n",
       " 'Younis Khan',\n",
       " 'Yuvraj Singh',\n",
       " 'Z Khan',\n",
       " 'nan']"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(deliveries[\"player_dismissed\"].unique().astype(str))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:06.128973Z",
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     "shell.execute_reply": "2020-10-27T15:55:06.157047Z"
    },
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>winner</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bowler</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>batting_team</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BAW Mendis</th>\n",
       "      <th>Kolkata Knight Riders</th>\n",
       "      <th>Rajasthan Royals</th>\n",
       "      <td>Rajasthan Royals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CH Morris</th>\n",
       "      <th>Rajasthan Royals</th>\n",
       "      <th>Kings XI Punjab</th>\n",
       "      <td>Kings XI Punjab</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DW Steyn</th>\n",
       "      <th>Sunrisers Hyderabad</th>\n",
       "      <th>Royal Challengers Bangalore</th>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J Theron</th>\n",
       "      <th>Kings XI Punjab</th>\n",
       "      <th>Chennai Super Kings</th>\n",
       "      <td>Kings XI Punjab</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JJ Bumrah</th>\n",
       "      <th>Mumbai Indians</th>\n",
       "      <th>Gujarat Lions</th>\n",
       "      <td>Mumbai Indians</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">JP Faulkner</th>\n",
       "      <th>Gujarat Lions</th>\n",
       "      <th>Mumbai Indians</th>\n",
       "      <td>Mumbai Indians</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rajasthan Royals</th>\n",
       "      <th>Kolkata Knight Riders</th>\n",
       "      <td>Rajasthan Royals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kamran Khan</th>\n",
       "      <th>Rajasthan Royals</th>\n",
       "      <th>Kolkata Knight Riders</th>\n",
       "      <td>Rajasthan Royals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M Muralitharan</th>\n",
       "      <th>Chennai Super Kings</th>\n",
       "      <th>Kings XI Punjab</th>\n",
       "      <td>Kings XI Punjab</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MG Johnson</th>\n",
       "      <th>Kings XI Punjab</th>\n",
       "      <th>Rajasthan Royals</th>\n",
       "      <td>Kings XI Punjab</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R Rampaul</th>\n",
       "      <th>Royal Challengers Bangalore</th>\n",
       "      <th>Delhi Capitals</th>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R Vinay Kumar</th>\n",
       "      <th>Royal Challengers Bangalore</th>\n",
       "      <th>Sunrisers Hyderabad</th>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SP Narine</th>\n",
       "      <th>Kolkata Knight Riders</th>\n",
       "      <th>Rajasthan Royals</th>\n",
       "      <td>Rajasthan Royals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UT Yadav</th>\n",
       "      <th>Delhi Capitals</th>\n",
       "      <th>Royal Challengers Bangalore</th>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                             winner\n",
       "bowler         bowling_team                batting_team                                            \n",
       "BAW Mendis     Kolkata Knight Riders       Rajasthan Royals                        Rajasthan Royals\n",
       "CH Morris      Rajasthan Royals            Kings XI Punjab                          Kings XI Punjab\n",
       "DW Steyn       Sunrisers Hyderabad         Royal Challengers Bangalore          Sunrisers Hyderabad\n",
       "J Theron       Kings XI Punjab             Chennai Super Kings                      Kings XI Punjab\n",
       "JJ Bumrah      Mumbai Indians              Gujarat Lions                             Mumbai Indians\n",
       "JP Faulkner    Gujarat Lions               Mumbai Indians                            Mumbai Indians\n",
       "               Rajasthan Royals            Kolkata Knight Riders                   Rajasthan Royals\n",
       "Kamran Khan    Rajasthan Royals            Kolkata Knight Riders                   Rajasthan Royals\n",
       "M Muralitharan Chennai Super Kings         Kings XI Punjab                          Kings XI Punjab\n",
       "MG Johnson     Kings XI Punjab             Rajasthan Royals                         Kings XI Punjab\n",
       "R Rampaul      Royal Challengers Bangalore Delhi Capitals               Royal Challengers Bangalore\n",
       "R Vinay Kumar  Royal Challengers Bangalore Sunrisers Hyderabad                  Sunrisers Hyderabad\n",
       "SP Narine      Kolkata Knight Riders       Rajasthan Royals                        Rajasthan Royals\n",
       "UT Yadav       Delhi Capitals              Royal Challengers Bangalore  Royal Challengers Bangalore"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmp = deliveries[deliveries[\"is_super_over\"]==1].reset_index().merge(data.reset_index()[[\"id\",\"winner\"]], how = 'inner',left_on='match_id', right_on = 'id').drop(['id','match_id'],axis=1)\n",
    "tmp.groupby([\"bowler\",\"bowling_team\",\"batting_team\"]).first()[\"winner\"].to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:06.331998Z",
     "iopub.status.busy": "2020-10-27T15:55:06.330906Z",
     "iopub.status.idle": "2020-10-27T15:55:06.334316Z",
     "shell.execute_reply": "2020-10-27T15:55:06.333732Z"
    },
    "papermill": {
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     "exception": false,
     "start_time": "2020-10-27T15:55:06.240031",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "board = tmp[tmp[\"is_super_over\"]==1][\"bowler\"].value_counts().to_frame(\"Balls Bowled in Super Over\")\n",
    "board[\"Winner\"] = tmp[\"winner\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:06.508980Z",
     "iopub.status.busy": "2020-10-27T15:55:06.508107Z",
     "iopub.status.idle": "2020-10-27T15:55:06.549596Z",
     "shell.execute_reply": "2020-10-27T15:55:06.550332Z"
    },
    "papermill": {
     "duration": 0.135195,
     "end_time": "2020-10-27T15:55:06.550491",
     "exception": false,
     "start_time": "2020-10-27T15:55:06.415296",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Wickets</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bowler</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SL Malinga</th>\n",
       "      <td>188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJ Bravo</th>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A Mishra</th>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbhajan Singh</th>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PP Chawla</th>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CK Kapugedera</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NL McCullum</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K Upadhyay</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NJ Rimmington</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K Goel</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>405 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Wickets\n",
       "bowler                  \n",
       "SL Malinga           188\n",
       "DJ Bravo             168\n",
       "A Mishra             165\n",
       "Harbhajan Singh      161\n",
       "PP Chawla            156\n",
       "...                  ...\n",
       "CK Kapugedera          0\n",
       "NL McCullum            0\n",
       "K Upadhyay             0\n",
       "NJ Rimmington          0\n",
       "K Goel                 0\n",
       "\n",
       "[405 rows x 1 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deliveries.groupby(\"bowler\")[\"player_dismissed\"].count().sort_values(ascending=False).to_frame(\"Wickets\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:06.720997Z",
     "iopub.status.busy": "2020-10-27T15:55:06.720243Z",
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    },
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def rowIndex(row):\n",
    "    return data.loc[row.name]['venue']\n",
    "\n",
    "deliveries['venue'] = deliveries.apply(rowIndex, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:45.106538Z",
     "iopub.status.busy": "2020-10-27T15:55:45.105563Z",
     "iopub.status.idle": "2020-10-27T15:55:45.110611Z",
     "shell.execute_reply": "2020-10-27T15:55:45.109977Z"
    },
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     "duration": 0.093255,
     "end_time": "2020-10-27T15:55:45.110771",
     "exception": false,
     "start_time": "2020-10-27T15:55:45.017516",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['inning', 'batting_team', 'bowling_team', 'over', 'ball', 'batsman',\n",
       "       'non_striker', 'bowler', 'is_super_over', 'wide_runs', 'bye_runs',\n",
       "       'legbye_runs', 'noball_runs', 'penalty_runs', 'batsman_runs',\n",
       "       'extra_runs', 'total_runs', 'player_dismissed', 'dismissal_kind',\n",
       "       'fielder', 'venue'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deliveries.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:45.286677Z",
     "iopub.status.busy": "2020-10-27T15:55:45.285839Z",
     "iopub.status.idle": "2020-10-27T15:55:45.433197Z",
     "shell.execute_reply": "2020-10-27T15:55:45.433773Z"
    },
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     "end_time": "2020-10-27T15:55:45.433937",
     "exception": false,
     "start_time": "2020-10-27T15:55:45.196125",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>total_runs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   match_id  inning  total_runs\n",
       "0         1       1         207\n",
       "1         1       2         172\n",
       "2         2       1         184\n",
       "3         2       2         187\n",
       "4         3       1         183"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "runs = deliveries.reset_index().groupby(['match_id','inning']).sum()['total_runs'].to_frame().reset_index()\n",
    "runs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:45.619747Z",
     "iopub.status.busy": "2020-10-27T15:55:45.618690Z",
     "iopub.status.idle": "2020-10-27T15:55:45.773211Z",
     "shell.execute_reply": "2020-10-27T15:55:45.772536Z"
    },
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     "exception": false,
     "start_time": "2020-10-27T15:55:45.517940",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "deliveries['player_dismissed'] = deliveries['player_dismissed'].fillna(\"0\")\n",
    "deliveries['player_dismissed'] = deliveries['player_dismissed'].apply(lambda x:0 if x==\"0\" else 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:45.952219Z",
     "iopub.status.busy": "2020-10-27T15:55:45.951435Z",
     "iopub.status.idle": "2020-10-27T15:55:45.977571Z",
     "shell.execute_reply": "2020-10-27T15:55:45.976908Z"
    },
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     "end_time": "2020-10-27T15:55:45.977721",
     "exception": false,
     "start_time": "2020-10-27T15:55:45.858429",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "deliveries['runs_last_5'] = deliveries['total_runs'].rolling(min_periods=1, window=30).sum()\n",
    "deliveries['wickets_last_5'] = deliveries['player_dismissed'].rolling(min_periods=1, window=30).sum()\n",
    "deliveries['runs'] = deliveries['total_runs'].cumsum(axis = 0)\n",
    "deliveries['wickets'] = deliveries['player_dismissed'].cumsum(axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:46.156927Z",
     "iopub.status.busy": "2020-10-27T15:55:46.156029Z",
     "iopub.status.idle": "2020-10-27T15:55:46.374316Z",
     "shell.execute_reply": "2020-10-27T15:55:46.373306Z"
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     "exception": false,
     "start_time": "2020-10-27T15:55:46.063422",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "deliveries['over'] = deliveries['over']-1\n",
    "deliveries['overs'] = deliveries['over'].astype(str) +\".\"+deliveries['ball'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:46.553507Z",
     "iopub.status.busy": "2020-10-27T15:55:46.552206Z",
     "iopub.status.idle": "2020-10-27T15:55:46.690991Z",
     "shell.execute_reply": "2020-10-27T15:55:46.690318Z"
    },
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     "exception": false,
     "start_time": "2020-10-27T15:55:46.460030",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "final = pd.merge(deliveries, runs, left_on=['match_id','inning'], right_on=['match_id','inning'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:46.870423Z",
     "iopub.status.busy": "2020-10-27T15:55:46.869205Z",
     "iopub.status.idle": "2020-10-27T15:55:46.968432Z",
     "shell.execute_reply": "2020-10-27T15:55:46.967638Z"
    },
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     "exception": false,
     "start_time": "2020-10-27T15:55:46.777915",
     "status": "completed"
    },
    "tags": []
   },
   "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_x', 'player_dismissed',\n",
       "       'dismissal_kind', 'fielder', 'venue', 'runs_last_5', 'wickets_last_5',\n",
       "       'runs', 'wickets', 'overs', 'total_runs_y'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final=final[final['inning']==1]\n",
    "final.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:47.148866Z",
     "iopub.status.busy": "2020-10-27T15:55:47.148048Z",
     "iopub.status.idle": "2020-10-27T15:55:47.159478Z",
     "shell.execute_reply": "2020-10-27T15:55:47.158682Z"
    },
    "papermill": {
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     "end_time": "2020-10-27T15:55:47.159612",
     "exception": false,
     "start_time": "2020-10-27T15:55:47.055040",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "final = final.loc[:,['match_id','inning', 'batting_team', 'bowling_team', 'overs','runs', 'wickets','venue','total_runs_y','runs_last_5', 'wickets_last_5']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-27T15:55:47.340371Z",
     "iopub.status.busy": "2020-10-27T15:55:47.339499Z",
     "iopub.status.idle": "2020-10-27T15:55:48.524894Z",
     "shell.execute_reply": "2020-10-27T15:55:48.524120Z"
    },
    "papermill": {
     "duration": 1.278288,
     "end_time": "2020-10-27T15:55:48.525027",
     "exception": false,
     "start_time": "2020-10-27T15:55:47.246739",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "final.to_csv(\"final.csv\",index=False)"
   ]
  }
 ],
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