Kingdom.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "cf0421ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "import IPython\n",
    "import json\n",
    "import numpy as np\n",
    "import scipy as sp\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import bs4\n",
    "import nltk\n",
    "import bson\n",
    "import pymongo\n",
    "from parsita import *\n",
    "from parsita.util import constant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "e73c3f10",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pgn\n",
    "import sys\n",
    "import operator\n",
    "\n",
    "playerList = []\n",
    "playerNameList = []\n",
    "piecesWonList = []\n",
    "piecesAvg = []\n",
    "piecesLostList = []\n",
    "piecesAvgLost = []\n",
    "avgMovesList = []\n",
    "profitList = []\n",
    "\n",
    "class Kingdom :\n",
    "    name: str\n",
    "    total: int\n",
    "    piecesWon: int\n",
    "    piecesLost: int\n",
    "    avgMoves: float\n",
    "    piecesSac: int\n",
    "    avgPieces: float\n",
    "    avgPiecesLost: float\n",
    "    profit: int\n",
    "\n",
    "def parsePGN(fname, total):\n",
    "    color = \"white\"\n",
    "    moveCheck = \"true\"\n",
    "    counter = 0\n",
    "    player = Kingdom()\n",
    "    player.name = fname.replace(\".pgn\", \"\")\n",
    "    player.avgMoves = 0\n",
    "    player.total = total\n",
    "    player.piecesWon = 0;\n",
    "    player.piecesLost = 0;\n",
    "    playerList.append(player)\n",
    "    playerNameList.append(player.name)\n",
    "    \n",
    "    f = open(fname,'r', -1, 'latin1')\n",
    "    pgn_text = f.read()\n",
    "    f.close()\n",
    "    \n",
    "    games = pgn.loads(pgn_text)\n",
    "    for game in games:\n",
    "        if player.name in game.white:\n",
    "            color = \"white\"\n",
    "        if player.name in game.black:\n",
    "            color = \"black\"\n",
    "        for move in game.moves:\n",
    "            if \"x\" in move:\n",
    "                moveCheck = \"false\"\n",
    "                if color == \"white\":\n",
    "                    if counter % 2 == 0:\n",
    "                        player.piecesWon += 1\n",
    "                    if counter % 2 == 1:\n",
    "                        player.piecesLost += 1\n",
    "                if color == \"black\":\n",
    "                    if counter % 2 == 1:\n",
    "                        player.piecesWon += 1\n",
    "                    if counter % 2 == 0:\n",
    "                        player.piecesLost += 1\n",
    "            counter += 1\n",
    "            if moveCheck == \"true\":\n",
    "                player.avgMoves += 1\n",
    "    \n",
    "    print(player.name)\n",
    "    print(\"Pieces Won: \")\n",
    "    print(player.piecesWon)\n",
    "    print(\"Pieces Lost: \") \n",
    "    print(player.piecesLost)\n",
    "    \n",
    "    piecesWonList.append(player.piecesWon)\n",
    "    piecesLostList.append(player.piecesLost)\n",
    "    player.avgPieces = float(player.piecesWon / player.total)\n",
    "    player.avgPiecesLost = float(player.piecesLost / player.total)\n",
    "    piecesAvgLost.append(player.avgPiecesLost)\n",
    "    piecesAvg.append(player.avgPieces)\n",
    "    player.avgMoves = float(player.avgMoves / player.total)\n",
    "    player.profit = player.piecesWon - player.piecesLost\n",
    "    profitList.append(player.profit)\n",
    "    print(\"Profit: \")\n",
    "    print(player.profit)\n",
    "    print(\"\\n\")\n",
    "    avgMovesList.append(player.avgMoves)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "id": "d6588eae",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kasparov\n",
      "Pieces Won: \n",
      "17042\n",
      "Pieces Lost: \n",
      "16977\n",
      "Profit: \n",
      "65\n",
      "\n",
      "\n",
      "Carlsen\n",
      "Pieces Won: \n",
      "36689\n",
      "Pieces Lost: \n",
      "36543\n",
      "Profit: \n",
      "146\n",
      "\n",
      "\n",
      "Alekhine\n",
      "Pieces Won: \n",
      "14250\n",
      "Pieces Lost: \n",
      "14202\n",
      "Profit: \n",
      "48\n",
      "\n",
      "\n",
      "Anand\n",
      "Pieces Won: \n",
      "32277\n",
      "Pieces Lost: \n",
      "32281\n",
      "Profit: \n",
      "-4\n",
      "\n",
      "\n",
      "Aronian\n",
      "Pieces Won: \n",
      "31774\n",
      "Pieces Lost: \n",
      "31779\n",
      "Profit: \n",
      "-5\n",
      "\n",
      "\n",
      "Botvinnik\n",
      "Pieces Won: \n",
      "7349\n",
      "Pieces Lost: \n",
      "7361\n",
      "Profit: \n",
      "-12\n",
      "\n",
      "\n",
      "Capablanca\n",
      "Pieces Won: \n",
      "4937\n",
      "Pieces Lost: \n",
      "4964\n",
      "Profit: \n",
      "-27\n",
      "\n",
      "\n",
      "Caruana\n",
      "Pieces Won: \n",
      "25757\n",
      "Pieces Lost: \n",
      "25651\n",
      "Profit: \n",
      "106\n",
      "\n",
      "\n",
      "Ding\n",
      "Pieces Won: \n",
      "14871\n",
      "Pieces Lost: \n",
      "14828\n",
      "Profit: \n",
      "43\n",
      "\n",
      "\n",
      "Firouzja\n",
      "Pieces Won: \n",
      "16213\n",
      "Pieces Lost: \n",
      "16165\n",
      "Profit: \n",
      "48\n",
      "\n",
      "\n",
      "Fischer\n",
      "Pieces Won: \n",
      "7238\n",
      "Pieces Lost: \n",
      "7183\n",
      "Profit: \n",
      "55\n",
      "\n",
      "\n",
      "Giri\n",
      "Pieces Won: \n",
      "23190\n",
      "Pieces Lost: \n",
      "23169\n",
      "Profit: \n",
      "21\n",
      "\n",
      "\n",
      "Grischuk\n",
      "Pieces Won: \n",
      "33060\n",
      "Pieces Lost: \n",
      "32936\n",
      "Profit: \n",
      "124\n",
      "\n",
      "\n",
      "Mamedyarov\n",
      "Pieces Won: \n",
      "31048\n",
      "Pieces Lost: \n",
      "31092\n",
      "Profit: \n",
      "-44\n",
      "\n",
      "\n",
      "Nakamura\n",
      "Pieces Won: \n",
      "39719\n",
      "Pieces Lost: \n",
      "39621\n",
      "Profit: \n",
      "98\n",
      "\n",
      "\n",
      "Nepomniachtchi\n",
      "Pieces Won: \n",
      "25729\n",
      "Pieces Lost: \n",
      "25728\n",
      "Profit: \n",
      "1\n",
      "\n",
      "\n",
      "PolgarJ\n",
      "Pieces Won: \n",
      "16112\n",
      "Pieces Lost: \n",
      "16143\n",
      "Profit: \n",
      "-31\n",
      "\n",
      "\n",
      "So\n",
      "Pieces Won: \n",
      "22553\n",
      "Pieces Lost: \n",
      "22621\n",
      "Profit: \n",
      "-68\n",
      "\n",
      "\n",
      "Tal\n",
      "Pieces Won: \n",
      "18237\n",
      "Pieces Lost: \n",
      "18176\n",
      "Profit: \n",
      "61\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "parsePGN('Kasparov.pgn', 2110)\n",
    "parsePGN('Carlsen.pgn', 3905)\n",
    "parsePGN('Alekhine.pgn', 1661)\n",
    "parsePGN('Anand.pgn', 3895)\n",
    "parsePGN('Aronian.pgn', 3536)\n",
    "parsePGN('Botvinnik.pgn', 891)\n",
    "parsePGN('Capablanca.pgn', 597)\n",
    "parsePGN('Caruana.pgn', 2811)\n",
    "parsePGN('Ding.pgn', 1622)\n",
    "parsePGN('Firouzja.pgn', 1748)\n",
    "parsePGN('Fischer.pgn', 827)\n",
    "parsePGN('Giri.pgn', 2556)\n",
    "parsePGN('Grischuk.pgn', 3754)\n",
    "parsePGN('Mamedyarov.pgn', 3540)\n",
    "parsePGN('Nakamura.pgn', 4308)\n",
    "parsePGN('Nepomniachtchi.pgn', 2818)\n",
    "parsePGN('PolgarJ.pgn', 1825)\n",
    "parsePGN('So.pgn', 2512)\n",
    "parsePGN('Tal.pgn', 2431)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "id": "543cd46e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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LtavqyKo6YkzfOMl3J/mnMRZ2qqoyjYF94Vjl9CQPr8ndknyyuz+c5Iwk96mqm1XVzZLcJ8kZY96nqupuY1sPT/KqzdofAAAAAAC23o5N3Patkzy/qg7LFJ6/rLtfXVWvr6ojk1SS85I8eiz/miT3T7I7yWeTPDJJuvuKqvrVJGeP5Z7a3VeM6Z9MclqSGyd57bgBAAAAAHCIqu7e6jocVDt37uxdu3ZtdTXYJqq2ugaT69hhCAAAsKn8rwdwaKiqc7p75/LygzKmNgAAAAAAbAShNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNnZsdQUAAABgf1RtdQ0m3VtdAwC4btJTGwAAAACA2RBqAwAAAAAwG0JtAAAAAABmQ6gNAAAAAMBsCLUBAAAAAJgNoTYAAAAAALMh1AYAAAAAYDaE2gAAAAAAzIZQGwAAAACA2dix1RUA2M6qtroGk+6trgEAAADA9qCnNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZjx1ZXAID5qNrqGlyje6trAAAAAGwFPbUBAAAAAJgNoTYAAAAAALMh1AYAAAAAYDaE2gAAAAAAzIZQGwAAAACA2RBqAwAAAAAwG0JtAAAAAABmQ6gNAAAAAMBs7NjqCgAAAAAHrmqra3CN7q2uAQDXBXpqAwAAAAAwG0JtAAAAAABmQ6gNAAAAAMBsCLUBAAAAAJgNoTYAAAAAALMh1AYAAAAAYDaE2gAAAAAAzIZQGwAAAACA2RBqAwAAAAAwG0JtAAAAAABmY9NC7aq6UVWdVVXvrqqLqupXRvlxVfXOqtpdVS+tqhuM8huO+7vH/GMXtvWkUf6+qrrvQvlJo2x3VT1xs/YFAAAAAIDtYTN7al+V5F7d/U1JTkxyUlXdLcnTkzyzu2+X5MokjxrLPyrJlaP8mWO5VNUJSR6S5PZJTkry7Ko6rKoOS/IHSe6X5IQkDx3LAgAAAABwiNq0ULsnnxl3rz9uneReSV4+yp+f5AFj+uRxP2P+vauqRvlLuvuq7v5gkt1J7jJuu7v7A939+SQvGcsCAAAAAHCI2tQxtUeP6vOSfDTJmUn+JcknuvvqscilSY4a00cluSRJxvxPJrnFYvmydVYrX6kep1bVrqradfnll2/AngEAAAAAsBU2NdTu7i9294lJjs7Us/obN/Px1qjHc7p7Z3fvPPLII7eiCgAAAAAAbIBNDbWXdPcnkrwhybcmOaKqdoxZRye5bExfluSYJBnzb5rk44vly9ZZrRwAAAAAgEPUpoXaVXVkVR0xpm+c5LuTvDdTuP3AsdgpSV41pk8f9zPmv767e5Q/pKpuWFXHJTk+yVlJzk5yfFUdV1U3yPRjkqdv1v4AAAAAALD1dux7kQN26yTPr6rDMoXnL+vuV1fVe5K8pKqeluTcJM8dyz83yQuraneSKzKF1Onui6rqZUnek+TqJI/p7i8mSVU9NskZSQ5L8rzuvmgT9wcAAAAAgC1WU2fo646dO3f2rl27troabBNVW12DyXXsMJwVr5E9bZf2SLZPmwAAB992uSbZLtcj26U9Em2y3HZpD4C5qqpzunvn8vKDMqY2AAAAAABsBKE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYjR1bXQEAgENZ1VbXYNK91TUAALbKdrkeSVyTABtDT20AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMxqaF2lV1TFW9oareU1UXVdXjRvlTquqyqjpv3O6/sM6Tqmp3Vb2vqu67UH7SKNtdVU9cKD+uqt45yl9aVTfYrP0BAAAAAGDrbWZP7auT/Fx3n5DkbkkeU1UnjHnP7O4Tx+01STLmPSTJ7ZOclOTZVXVYVR2W5A+S3C/JCUkeurCdp49t3S7JlUketYn7AwAAAADAFtu0ULu7P9zd7xrTn07y3iRHrbHKyUle0t1XdfcHk+xOcpdx293dH+juzyd5SZKTq6qS3CvJy8f6z0/ygE3ZGQAAAAAAtoWDMqZ2VR2b5JuTvHMUPbaqzq+q51XVzUbZUUkuWVjt0lG2Wvktknyiu69eVr7S459aVbuqatfll1++EbsEAAAAAMAW2PRQu6oOT/JXSR7f3Z9K8odJbpvkxCQfTvKMza5Ddz+nu3d2984jjzxysx8OAAAAAIBNsmMzN15V188UaL+ou1+RJN39kYX5f5Lk1ePuZUmOWVj96FGWVco/nuSIqtoxemsvLg8AAAAAwCFo03pqjzGvn5vkvd392wvlt15Y7AeSXDimT0/ykKq6YVUdl+T4JGclOTvJ8VV1XFXdINOPSZ7e3Z3kDUkeONY/JcmrNmt/AAAAAADYepvZU/vbk/xokguq6rxR9r+SPLSqTkzSSS5O8hNJ0t0XVdXLkrwnydVJHtPdX0ySqnpskjOSHJbked190djeE5K8pKqeluTcTCE6AAAAAACHqJo6PF937Ny5s3ft2rXV1WCbqNrqGkyuY4fhrHiN7Gm7tEeyfdoE9mW7HDeOGeBQ4ty6p+3SHok2WU577G27tAkwD1V1TnfvXF6+6T8UCQAAAAAAG0WoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbOzY6goAAACwuqqtrsGke6trAAAw0VMbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZjn2NqV9UNk/xgkmMXl+/up25etQAAAAAAYG/r+aHIVyX5ZJJzkly1udUBAAAAAIDVrSfUPrq7T9r0mgAAAAAAwD6sZ0ztf6yq/7bpNQEAAAAAgH1YT0/tuyd5RFV9MNPwI5Wku/uOm1ozAAAAAGDTVW11Da7RvdU1YA7WE2rfb9NrAQAAAAAA67DP4Ue6+0NJjkjyfeN2xCgDAAAAAICDap+hdlU9LsmLknz1uP15Vf3UZlcMAAAAAACWW8/wI49Kctfu/o8kqaqnJ3l7kt/bzIoBAAAAAMBy++ypnemHIb+4cP+LowwAAAAAAA6q9fTU/rMk76yqV477D0jy3E2rEQAAAAAArGLVULuqTkzy7u7+7ap6Y5K7j1mP7O5zD0LdAAAAAABgD2v11P7TJF9XVeck+cckb0vy9u7+9EGpGQAAAAAALLPqmNrdvTPJ0Ul+LclVSX46ye6qendVPfsg1Q8AAAAAAL5szTG1u/uzSd5YVWcneWeSb0/y8CQnHYS6AQAAAADAHtYaU/uHk3xbkhMz9dReCrbv3t3/flBqBwAAAAAAC9bqqf3HSd6X5I+SvLm7//ngVAkAAAAAAFa2Vqh9RJJvytRb+ylV9Q1JPpzk7Zl+MPL1m189AAAAAAC4xqqhdnd/Mcm7xu33q+pWSR6U5PFJnprksINRQQAAAAAAWLLWmNp3zNRLe+l2gyT/mOT3krztoNQOAAAAAAAWrDX8yGlJ3prktUl+qbv/9aDUCAAAAAAAVrHW8CN3OpgVAQAAAACAfbneVlcAAAAAAADWS6gNAAAAAMBs7FeoXVXXq6qbbFZlAAAAAABgLfsMtavqL6rqJlX1lUkuTPKeqvqFza8aAAAAAADsaT09tU/o7k8leUCS1yY5LsmPbmalAAAAAABgJesJta9fVdfPFGqf3t1fSNKbWisAAAAAAFjBekLtP05ycZKvTPLmqrpNkk9tZqUAAAAAAGAlO/a1QHc/K8mzFoo+VFXfuXlVAgAAAACAla3nhyJvVVXPrarXjvsnJDll02sGAAAAAADLrGf4kdOSnJHka8f9f07y+E2qDwAAAAAArGo9ofYtu/tlSb6UJN19dZIvbmqtAAAAAABgBesJtf+jqm6RpJOkqu6W5JObWisAAAAAAFjBekLtn01yepLbVtXbkrwgyU/ta6WqOqaq3lBV76mqi6rqcaP85lV1ZlW9f/y92SivqnpWVe2uqvOr6k4L2zplLP/+qjplofzOVXXBWOdZVVX7uf8AAAAAAMzIPkPt7n5Xkv+e5NuS/ESS23f3+evY9tVJfq67T0hytySPGT8y+cQkr+vu45O8btxPkvslOX7cTk3yh8kUgid5cpK7JrlLkicvBeFjmR9fWO+kddQLAAAAAICZ2meoXVWPSXJ4d1/U3RcmObyqfnJf63X3h0cgnu7+dJL3JjkqyclJnj8We36SB4zpk5O8oCfvSHJEVd06yX2TnNndV3T3lUnOTHLSmHeT7n5Hd3emHuRL2wIAAAAA4BC0nuFHfry7P7F0ZwTLP74/D1JVxyb55iTvTHKr7v7wmPXvSW41po9KcsnCapeOsrXKL12hfKXHP7WqdlXVrssvv3x/qg4AAAAAwDaynlD7sMWxqqvqsCQ3WO8DVNXhSf4qyeO7+1OL80YP617vtg5Udz+nu3d2984jjzxysx8OAAAAAIBNsp5Q+++SvLSq7l1V907y4lG2T1V1/UyB9ou6+xWj+CNj6JCMvx8d5ZclOWZh9aNH2VrlR69QDgAAAADAIWo9ofYTkrwhyf8ct9cl+cV9rTR6dz83yXu7+7cXZp2e5JQxfUqSVy2UP7wmd0vyyTFMyRlJ7lNVNxs/EHmfJGeMeZ+qqruNx3r4wrYAAAAAADgE7djXAt39pao6Lcnru/t9+7Htb0/yo0kuqKrzRtn/SvIbSV5WVY9K8qEkDx7zXpPk/kl2J/lskkeOx7+iqn41ydljuad29xVj+ieTnJbkxkleO24AAAAAAByiahrWeo0Fqr4/yW8luUF3H1dVJ2YKlr//INRvw+3cubN37dq11dVgm7hmtPittY/DkC3kNbKn7dIeyfZpE9iX7XLcOGZgvpxH9qZN9rRd2iPRJstpj71tlzZhT14jbFdVdU5371xevp7hR56c5C5JPpEk3X1ekuM2snIAAAAAALAe6wm1v9Ddn1xW5jMTAAAAAAAOun2OqZ3koqr64SSHVdXxSX46yT9ubrUAAAAAAGBv6+mp/VNJbp/kqiQvTvKpJI/fxDoBAAAAAMCK9tlTu7s/m+R/jxsAAAAAAGyZVUPtqvqd7n58Vf1NVhhDu7u/f1NrBgAAAAAAy6zVU/uF4+//OxgVAQAAAACAfVkr1L6oqh6f5HZJLkjy3O6++qDUCgAAAAAAVrDWD0U+P8nOTIH2/ZI846DUCAAAAAAAVrFWT+0Tuvu/JUlVPTfJWQenSgAAAAAAsLK1emp/YWnCsCMAAAAAAGwHa/XU/qaq+tSYriQ3HvcrSXf3TTa9dgAAAAAAsGDVULu7DzuYFQEAAAAAgH1Za/gRAAAAAADYVoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbq/5QJAAAAADAdVHVVtdg0r3VNdie9NQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYjR1bXQEOnqqtrsGke6trAAAAAADMlZ7aAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMxo6trgAAAFyXVW11DSbdW10DAABYHz21AQAAAACYDT21AQAAALhO8U0pmDc9tQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAs7FpoXZVPa+qPlpVFy6UPaWqLquq88bt/gvznlRVu6vqfVV134Xyk0bZ7qp64kL5cVX1zlH+0qq6wWbtCwAAAAAA28Nm9tQ+LclJK5Q/s7tPHLfXJElVnZDkIUluP9Z5dlUdVlWHJfmDJPdLckKSh45lk+TpY1u3S3Jlkkdt4r4AAAAAALANbFqo3d1vTnLFOhc/OclLuvuq7v5gkt1J7jJuu7v7A939+SQvSXJyVVWSeyV5+Vj/+UkesJH1BwAAAABg+9mKMbUfW1Xnj+FJbjbKjkpyycIyl46y1cpvkeQT3X31svIVVdWpVbWrqnZdfvnlG7UfAAAAAAAcZAc71P7DJLdNcmKSDyd5xsF40O5+Tnfv7O6dRx555MF4SAAAAAAANsGOg/lg3f2Rpemq+pMkrx53L0tyzMKiR4+yrFL+8SRHVNWO0Vt7cXkAALaxqq2uwaR7q2sAAAAciIPaU7uqbr1w9weSXDimT0/ykKq6YVUdl+T4JGclOTvJ8VV1XFXdINOPSZ7e3Z3kDUkeONY/JcmrDsY+AAAAAACwdTatp3ZVvTjJPZPcsqouTfLkJPesqhOTdJKLk/xEknT3RVX1siTvSXJ1ksd09xfHdh6b5IwkhyV5XndfNB7iCUleUlVPS3Jukudu1r4AAAAAALA9VF/Hvne5c+fO3rVr11ZXY0v4qu/etAn74jWyp+3SHsn2aRPYl+1y3GynY0ab7El7sC9eI3vTJnvaLu2RaJPltMfetMmetMfetMmetkt7bJWqOqe7dy4vP9g/FAkAAAAAAAdMqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAs7FjqysAbB9+BAEAAACA7U5PbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYjU0LtavqeVX10aq6cKHs5lV1ZlW9f/y92SivqnpWVe2uqvOr6k4L65wyln9/VZ2yUH7nqrpgrPOsqqrN2hcAAAAAALaHzeypfVqSk5aVPTHJ67r7+CSvG/eT5H5Jjh+3U5P8YTKF4EmenOSuSe6S5MlLQfhY5scX1lv+WAAAAAAAHGI2LdTu7jcnuWJZ8clJnj+mn5/kAQvlL+jJO5IcUVW3TnLfJGd29xXdfWWSM5OcNObdpLvf0d2d5AUL2wIAAAAA4BB1sMfUvlV3f3hM/3uSW43po5JcsrDcpaNsrfJLVyhfUVWdWlW7qmrX5Zdffu32AAAAAACALbNlPxQ5elj3QXqs53T3zu7eeeSRRx6MhwQAAAAAYBMc7FD7I2PokIy/Hx3llyU5ZmG5o0fZWuVHr1AOAAAAAMAh7GCH2qcnOWVMn5LkVQvlD6/J3ZJ8cgxTckaS+1TVzcYPRN4nyRlj3qeq6m5VVUkevrAtAAAAAAAOUTs2a8NV9eIk90xyy6q6NMmTk/xGkpdV1aOSfCjJg8fir0ly/yS7k3w2ySOTpLuvqKpfTXL2WO6p3b3045M/meS0JDdO8tpxAwAAAADgEFbT0NbXHTt37uxdu3ZtdTW2RNVW12CynV5y2mRP2mNv2mRP26U9ku3TJrAv2+W42U7HjDbZk/ZgX7xG9qZN9rRd2iPRJstpj71pkz1pj71pkz1tl/bYKlV1TnfvXF6+ZT8UCQAAAAAA+0uoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2dmx1BQBgzqq2ugaT7q2uAQAAABwcQm0AAGBb8YEhAABrMfwIAAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2hNoAAAAAAMyGUBsAAAAAgNkQagMAAAAAMBtCbQAAAAAAZkOoDQAAAADAbAi1AQAAAACYDaE2AAAAAACzIdQGAAAAAGA2tiTUrqqLq+qCqjqvqnaNsptX1ZlV9f7x92ajvKrqWVW1u6rOr6o7LWznlLH8+6vqlK3YFwAAAAAADp6t7Kn9nd19YnfvHPefmOR13X18kteN+0lyvyTHj9upSf4wmULwJE9Octckd0ny5KUgHAAAAACAQ9N2Gn7k5CTPH9PPT/KAhfIX9OQdSY6oqlsnuW+SM7v7iu6+MsmZSU46yHUGAAAAAOAg2qpQu5P8fVWdU1WnjrJbdfeHx/S/J7nVmD4qySUL6146ylYr30tVnVpVu6pq1+WXX75R+wAALFO1fW4AAAAcmnZs0ePevbsvq6qvTnJmVf3T4szu7qrqjXqw7n5Okuckyc6dOzdsuwAAAAAAHFxb0lO7uy8bfz+a5JWZxsT+yBhWJOPvR8filyU5ZmH1o0fZauUAAAAAAByiDnqoXVVfWVVftTSd5D5JLkxyepJTxmKnJHnVmD49ycNrcrcknxzDlJyR5D5VdbPxA5H3GWUAAAAAAByitmL4kVsleWVNg13uSPIX3f13VXV2kpdV1aOSfCjJg8fyr0ly/yS7k3w2ySOTpLuvqKpfTXL2WO6p3X3FwdsNAAAAAAAOtoMeanf3B5J80wrlH09y7xXKO8ljVtnW85I8b6PrCAAAAADA9rQlY2oDAAAAAMCBEGoDAAAAADAbQm0AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGZDqA0AAAAAwGwItQEAAAAAmA2hNgAAAAAAsyHUBgAAAABgNoTaAAAAAADMxuxD7ao6qareV1W7q+qJW10fAAAAAAA2z6xD7ao6LMkfJLlfkhOSPLSqTtjaWgEAAAAAsFlmHWonuUuS3d39ge7+fJKXJDl5i+sEAAAAAMAm2bHVFbiWjkpyycL9S5PcdflCVXVqklPH3c9U1fsOQt0OVbdM8rFrs4GqDarJ9qFN9qQ99qZN9nSt2yPRJssdYu2RaJPltMfetMmetMfetMmetMfetMmeXKPtzWtkb9pkT9pjb9pkT9rj2rvNSoVzD7XXpbufk+Q5W12PQ0FV7erunVtdj+1Em+xJe+xNm+xJe+xNm+xNm+xJe+xNm+xJe+xNm+xJe+xNm+xJe+xNm+xNm+xJe+xNm+xJe2yeuQ8/clmSYxbuHz3KAAAAAAA4BM091D47yfFVdVxV3SDJQ5KcvsV1AgAAAABgk8x6+JHuvrqqHpvkjCSHJXled1+0xdU61BnGZW/aZE/aY2/aZE/aY2/aZG/aZE/aY2/aZE/aY2/aZE/aY2/aZE/aY2/aZG/aZE/aY2/aZE/aY5NUd291HQAAAAAAYF3mPvwIAAAAAADXIUJtAAAAAABmQ6h9iKqqzyxM37+q/rmqbrOVddpuquprquolVfUvVXVOVb2mqr5+P9a/uKpuuZl1PFiq6gFV1VX1jeP+sVV14T7WuWdVvXqF8qdU1c+vss4/bkyNt8bydtrkx3pjVe3c7MfZX5vRBuPYO2KjtreZquqLVXVeVb27qt5VVd+2j+WPraofXsd2v7+qnngt6vWnVXXCmP7MvpY/wMe4VufMdWx/xdd8VT2iqn5/ox7nYNrsNjsULRxjF43j7Oeq6npj3s6qetZW13GjLezz0u3YzX6/XDxnbFcb1S5rXZcciqrqVlX1F1X1gXHeeXtV/cBax89cjq3V9m2F5b62ql5+ANs/raoeuJ/rbPj/A+M6688X7u+oqstXuu7eTJt1PbGRRls9Y+H+z1fVU/axzrY/JxzIfh1sB3qcjXVXu+Y7saruv471V3xtVtWjq+rhB1CfpfebC6vqL6vqK9ZYdkOvSzfjHHKwVdX/Htdt5492vOtW12krVNUtFq5Z/r2qLlu4f4Nly27789BcCLUPcVV17yTPSnK/7v7QQX7sww7m4+2Pqqokr0zyxu6+bXffOcmTktxqPesu/YN9CHlokreOv5umu9cMAGfgoLTTNrdqG1TVAf34cHffv7s/cS3rdbB8rrtP7O5vynTO+L/7WP7YJPsMtbv79O7+jQOtVHf/j+5+z4Guvy/X5px5XeV95oAtHWO3T/LdSe6X5MlJ0t27uvunt7R2m2Npn5duF6/0fnmg59iVbPY5Y4Osq10223a+nl1unHf+Osmbu/vrxnnnIUmOXu34qaodczi21tq3Zcvt6O5/6+79Cqe3mf9IcoequvG4/91JLtvC+hywjTxvreKqJP/fXELB/WiPbb9fm3ScnZhkn6H2arr7j7r7BQew6tL7zR2SfD7Jow+0Dut1qFzrVdW3JvneJHfq7jsm+a4kl2xtrbZGd3986ZolyR8leebCNcznt7h6h6zZH0SsrqrukeRPknxvd//LKPvxqjq7pt5Pf7X0KWRVPWh8MvnuqnrzKHtEVb1qfJL6/qp68sK2/3r0kLioqk5dKP9MVT2jqt6d5Fur6mfHdi+sqsePZX6jqh6zsM5WfEr1nUm+0N1/tFTQ3e9Ocm5Vva6mHpgXVNXJo47HVtX7quoFSS5McsxC/b+yqv52tN2FVfVDo/zOVfWm0U5nVNWtR/kbq+rpVXVWTT3ov+Ng7vhyVXV4krsneVSmfw6Wzz+sqn5rvG7Or6qfWGGZb6mqc6vqtqPohLGfH6iqn15Y7jPj7z3H/JdX1T9V1YvGPyurtttWW6md9rEfvzza7MKqes5C+YrPf1XduKYene+tqlcmufHKNdk6a7TBW6rq9CTvqaobVdWfjePn3Kr6zrHcI6rqFVX1d+N88psL2/1yD4V9nFt+bRxn76iq7RCm3iTJlcmXL0x/azzfFyydB5L8RpLvqOkT+p8Zdb/90gbG62FnLfT6qKmn2LOq6h/HMfTAUb7W622vHi9VdcuaerF9zwbs64GcM5fq+N5R56X3mxWPjeFH65qeMndZXomq+r6qeud4bf3D0uugpveR561y3nl4Teeud1fVC9fazga71u8ztee3rh5YVaddi3ZY8djazrr7o0lOTfLYcYzds0ZPxX3s6/8ZbfnWqnpxzbAnTO35frnec+zvL6z/6rHu99c1vYTeV1UfHPO/fM6oqj+sql3jtfErW7C767bQLreuqjcvnC+W3ktPGsfWu6vqdQurrnZd8iM1vR+fV1V/XCPArmXXswdzH6+leyX5/LLzzoe6+/dWOH5eWFVvS/LCWuXbd9vMWvv2iKo6vapen+R1tfCNw6q6/cJzfH5VHT/K93pvGO5RK7//frl9qur3q+oRi5Wr6TrutVX14xu0v69JsvT+/dAkL154rLvU9P5+7qjrN4zyR4xz/Zk1XVs9tqb/xc6t6frj5mO529Z0PXbOOL8sfVPzuLHdC6rqaQuP94KqesDC/RdV1cmjnd8yjrkvf3ttP85bK14T7Wc7XZ3kOUl+ZvmMWsd7fU3/G792PH9rXbs/c5wn31vT/z2vqOl69mljmS+/5sb9L/esHuv/TlXtSvK49dRrH/t1ZE3/x589bt8+ypeO67ePuv34KK9a4Rp1PE9vqun//Q/U9D/6w8bxckGN/+tq9evSxeNsxdfCmPeEsb13V9ViB44H1cL/QzX1ZH1qkh+q6Xj9oao6fOG1c35V/eDCdvf6v6A2Jld4S5LbVdXNazqezh+PcccVnovbjnkXVNXT6pr3qMNrPzOFGbt1ko9191VJ0t0f6+5/q6p7j9f4BTVdr91wi+u5JWqV/I0N1N1uh+AtyReSXJHkjsvKb7Ew/bQkPzWmL0hy1Jg+Yvx9RJIPJ7lFpoDtwiQ7x7ybj79L5bcY9zvJg8f0ncd2vzLJ4UkuSvLN4/amhXq8J8kxB7l9fjrTJ2fLy3ckucmYvmWS3UkqU2/LLyW528KyF49lfjDJnyyU3zTJ9ZP8Y5IjR9kPJXnemH5jkmeM6fsn+Yctfq08LMlzx/Q/juft2CQXjrJTk/zSmL5hkl1JjktyzySvTvJtSc5J8l/GMk8Z27nhaJ+PJ7n+mPeZ8feeST6ZqXfN9ZK8PVNYumq7bfVtlXZacT8Wj5Ex/cIk37fW85/kZxdeI3fMdDG7c6v3e51t8B9JjhvlP7ewH9+Y5F+T3CjT+eQD4/i4UZIPZRz3S8fSYrtl5XPLUhv+5tJrcgva4ItJzkvyT+O5v/Mo/8EkZyY5LFNP3H/NdJF3zySvXlj/Z5L8ypi+dZL3jelHJPn9MX1akr8cr6kTkuxe67hZeF0tnZ8/M+rwziTfvUH7fSDnzE7y7WPe85L8/DqOjT8Z0/fINeegxba5WZIa0/8j1xxLT8kK550kt0/yzyu8vlbczga/VjbifeYzC9MPTHLagbTDWsfWdrst7vNC2SfGa/qeGcfTGs/5t2Q6Rm+U5KuSvH/ptbddb7nmvHJeklcutkP27xz7+wvbfHWSey57nJclecyYfmP2vqY7bJTfcSP3b5Pa5eeS/O+Fen9VkiMz9Q5baqul/VrttfJfk/zNwjHy7CQPH9Nfvp6d0y2rnHcWXkuLx885SW68fN52ve1j3x6R5NKF5/zYXPMe8ntJHjamb5DpHLjae8NpWf39d/G9/PeTPGJMXzwe7x+WXj8bsK+fyXQt+PJxfJ+37Pm7SZIdY/q7kvzVQjvsXjgePpnk0WPeM5M8fky/LsnxY/quSV4/pk9fOAYes3C8/fckfz2mb5rkg5ney74iyY1G+fFJdi2013rOWyteEx1AW91kPA83TfLzSZ4y5q31XvnzSR6b5FVJbrj4OhjTy69Pnj6mH5fk30Z9b5jpdXeLLLzmxnKL9XhjkmcvzNvnNcg+9usvcs31339J8t6F/Xp3ptf4LTOdD782a1+jfmJhXy5beD4el+R39nFcfHmf13gt3C/T+fcrlh1rb8zK/w89Inu+lz19qR5LbTf+rvh/wdJzeyCvo/F3x3hN/M9M544nj/J7JTlveR0zvdc+dEw/etl29itT2Ihzx1bcMuU852U6pz470/niRuP19/VjmRdknH+uK7dcc55ZLX87oNeq2963zf46EFvnC5neQB6V6U1pyR3GJ8pHZDoBnTHK35bktKp6WZJXLCx/Znd/PEmq6hWZgsddSX66rhnD7phMb14fz/QPyF+N8rtn+ifkPxbW/47uflZVfXVVfW2mC64ru3u7fEWlkvx6Tb3cv5TkqFzzVfEPdfc7VljngiTPqKqnZ7rYfEtV3SHJHZKcOT7kPyzTBwRLltr4nExvblvpoUl+d0y/ZNxfHCfsPknuWNeMMXjTTM/35zP9Q/icJPfp7n9bWOdve/q09qqq+mimNrx02eOe1d2XJklVnZepHT6RtdttK63UTq/Oyvvx1iTfWVW/mOki7+aZPtT5m7H+Ss//PTINFZTuPr+qzt+8XTlga7XBB0f53TNdBKa7/6mqPpRkaQzh13X3J5Okqt6T5DbZ++tpq51bPj8eK5na7bs3cL/2x+d6+kpZavq63QvG8X73JC/u7i8m+UhVvSlTuPapZeu/LMnfZxpO4cGZ/mFdyV9395cy9XBa7MGz2utt0fUz/cP6mO5+04Hs5H5Y65x5SXe/bUz/eaZA4v9l7WPjxUnS3W+uqpvU3mOtH53kpTV9g+MGmf6xXrLSeedeSf6yuz82tnvFOraz2Q7kfWa5/W2HS7P6sTVnK+3rtyd5VXf/Z5L/rKq/WXML28OXzyurWO85dlXjmPtcd//BCrMfXFPv/R2Zwo0TkmyH96C12uXsJM+rqutnOl+eV1X3zDQ0xQeTPY73ZOXXyr0zfTh79rjmuHGSj47lF69nZ6uq/iDTa+bzSX5h2ezTu/tzB79WG2PZvv1Bpv9Zrlhh0bcn+d9VdXSSV3T3+6tqtfeGZPX337W8KslvdveLDnR/lhvXgsdmutZ6zbLZN03y/Jp6nXem9/0lb+juTyf5dFV9Mte8v16Q6Xr+8EwdUv6yrvmi1FIPym/PFIAmU6j79FGXN1XVs6vqyDH/r7r76qr6yiS/X1UnZjpmFs9F6zlvrfeaaE3d/anR8/Wnkyy+ptd6r3x4pmvQB3T3F0bZWtcnp4+/FyS5qLs/nCRV9YFM76mf2Ec1X7rOeq1nv74r07dPlu7fZDyvyfT+97kkn6uqNyS5S9a+Rj17YV/+JdPzsbSf37nwmPs6Lq6flV8L35Xkz7r7s2OfFo+19fw//F1Z+CZxd185Jjf6/4Ibj+vqZOqp/dxMnUN+cDzu62saL/kmy9b71iQPGNN/kek6N9mYa71Z6O7PVNWdk3xHptfMSzMNz/jB7v7nsdjzM31Q9jtbUsmttVr+xgYRah+6vpTp4uB1VfW/uvvXR/lpmd68313T1+bumSTd/eiaBvT/niTnjBNTMl0oLerxT8N3JfnW7v5sVb0x06dxSfKf4w1zX/4yU6+zr8meb/IHy0Xj8Zd7WKag/c7d/YWqujjX7Nt/rLSh7v7nqrpTpk+Zn1bT111fmemCZ7WvrF41/n4xW3gc1vQ1xHsl+W9V1ZlC5M70z8GXF8v0ieIZy9a9Z6bA+UaZet8vhtpXLUyvto8rLVNZu922xBrt9LdZYT+q6kaZPqne2d2X1PT1wxstLLctnv/9sY82WPHYWMGar4t9nFu+0N292rpbobvfXtOwKUfuxzqXVdXHa/oK4w9l9TH7FtuqVilfrR2uznSBf98kGxVqH8g5c6X3j30dG3uts+z+7yX57e4+fbxenrIwbz1ts57tbJSNeJ9Z3P/FdtqvdtjHsbWtVdXXZdqPj2b6IHXR/jznc7aec+zV2XNYwS8/v1X1XUkelOnD0z1U1XGZehJ9S3dfWdMQN9v+tTE++LpHpuvW06rqtzOGg1rFatccz+/uJ62w/HqvZ7ebi3JNKJnufsx4n9q1wrLrfe/eLva1b6tdp/9FVb0z02vlNbXCMHrLrPT+u+rxNbwtyUlV9RcL1yob4fRMIdk9M/UGXvKrmcLrHxjB9xsX5i3W/0sL97+U6XV/vSSfWOMDo9Xq/4IkP5IpYHzkKPuZJB9J8k1ju/+5sPw+X1/7cU20Hr+T5F1J/myhbK33ygsyjd98dJIP7se1+2KbLt3fkX2/RhbbY3+uQVbar+tl6um72N4ZIfe+rqOW29frZaXlFq9Ll6z1WtjXYx/I+/dG/1+w14eoVSvt5rrtd6YwZ+P98o1J3lhVF2QKsJmclhXyNzaOMbUPYeMT0e9J8rCqetQo/qokHx49Wx62tGxV3ba739ndv5zk8lwzvtN31zSe1I0zfQr5tky9A64c/xh/Y5K7rVKFtyR5QFV9xfgk/wdGWTIF2Q/J9A//X27MHu+X1ye5Ye05Zu8dM/Uc/eh48/nOcX9NNfU4/2x3/3mS30pypyTvS3JkTT05U1XXr4Ux47aRByZ5YXffpruP7e5jMvUWWBzf64wk/3O8ZlJVXz+ez2TqlfA9Sf7vuCi7trZru63WTquNh7500fKx0XNipWBruTdn/KBgTT1/9xq3bYuttw3eknFuqaqvz/S1yPet8zHWe27ZFkYdD8vU2/UtmcYAPGz0ZLpHkrOSfDrTeXfRS5P8YpKbdvdm9IbsJD+W5Bur6gkbtM0DOWf+l6VjOdNr+63Z97GxNM7j3ZN8cqln/4Kb5pofyzplnfV+UFXdYmz35ge4nQOxEe8zH6mq/1rTDwn9wEL5/tZ/VsfWknEs/VGmr/muNyh6W5Lvq2kM18Mz/XjRoWS1c+zFSU6squtV1TGZeuelqm6T6YPqB63SK/cmmf7B/uTofXe/Td+DDTD26yPd/SdJ/jTTtdc7Mo2HfNxY5uZrbCKZvtHywKr66qXlx3bn7PVJblRV/3Oh7FAZv/OA9m18MPaB7n5Wph7Vd8zq7w2r+VCmnrE3rOkbRPdeNv+XM32ostI3Ia6N52UaDuKCZeWL7wGP2J8NdvenMoW4D0q+PN7yN43Zb8s1vWIftmzV05I8fmxj6Udmb5rkw6MH749muiZayVrXhhtyTTR6AL8s07eUl6z1Xnlukp9Icvr4X+5Art0XfSTJV9fUm/eGWfu9Z93v4avs198n+amlOzX1jl5y8nj/u0Wm8OzsrH6NupFWey2cmeSRdc3vquzrWFt+3XxmFgLSqrrZhtV43xZft/fMNG708m9gviPXfNi2+NtUN81+ZgpzVVXfUOO3CoYTk/xLkmOr6naj7EezcR1t5mbF/I2NI9Q+xI03wpOS/FJVfX+S/5PpqzRvyzQm7JLfqmkQ/wszDVvy7lF+VqavX56f6atmu5L8XaaeX+/N9CNoK359prvflekC6KzxmH/a3eeOeRdlOsAvW/rK08E0/jn+gSTfVVX/UlUXZfqazGuS7ByfMD48e7bRav5bkrNq+srSk5M8radft31gkqfX9CND52X6qt9289BMvcoX/VWSxV5Lf5pp3PN3jdfHH2fh0/Du/kimC7c/qKm3/wHbxu22Wjs9dKWFu/sTmX6k9cJMHwqcvY7H+MMkh4/j6qmZetpuJ+ttg2cnud44hl6aaczJq7I+6zq3bLEb1/jRtUz7d8ronfDKTOfJd2f6Z/kXu/vfR9kXa/pxkKUf+3l5pgvfl21WJUedHprkXlX1kxuwvQM5Z74vyWPG83mzJH+4jmPjP6vq3ExB5qOyt6dk+sr0OUk+to56X5Tk15K8aZxTfvtAtnMgNuh95omZvl77j9lzKKanZP/qP4dja8nSMXZRpjFq/z7Jun+8sLvPztS78fwkr83UG2/5hyNztto59m2ZPmh8T6ahrN41ln9Eph6efz3adXEYg+7x46WZXod/MbYzB/dM8u5xvvihJL/b3Zdn+h2QV4zjfc1vAo5g7peS/H1NQ36dmWn4ldka550HJPnvVfXBqjor09e+N+oDzi1zLfbtwUkuHO/bd0jygjXeG1Z77EsyvWdfOP6eu8Jij8t0/vrNFeYdkO6+dITxy/1mpg4l5+bAeqg+LMmjxr5flOTkUf64TO/bF2QaLmGxLh9J8t7s2WP42UlOGdv5xqzeA3Wta8ONvCZ6Rqbxi5c8JWu8V3b3WzN9U+VvM7Xj/l67L27rC5mu38/KdC5Z6719zXqtYPl+/XSm64jzaxrOb7GH+/lJ3pDpff5XexoecrVr1I204muhu/8u03vyrnEM7utHHN+Q6QOk82r6QcunJblZTT9y+e7sOSTKZntKkjuP94ffyMofQDw+yc+OZW6Xa643XpT1X+vtyJ494efm8EzDIb1ntMMJma5fH5npdX5Bpp7/f7TGNg5lq+VvbJClHyiAvdT09Yid3f3Yra4LAPNR09ehX93dd9jqunDdU1WH9zTG41dk+hbMqeODdobxT+b39zVj3gKsapxPL0hypxW+RcU2UNOQKZ/p7v+3r2XZGOO4+Fx3d1U9JNOPRp68r/UW1j8y0w9QHrXPhYEVHapjDwIAcN30nKo6IdPXyZ8v0N5TVZ2Z5AKBNrAeNY3L/9wkzxRowx7unOkHMivTsJw/tt4Vx7fofzN7fkMa2E96agMAAAAAMBvG1AYAAAAAYDaE2gAAAAAAzIZQGwAAAACA2RBqAwDAFqqqL1bVeVV1YVX9ZVV9xSj/zFbXDQAAtiOhNgAAbK3PdfeJ3X2HJJ9P8ujNfsCa+F8AAIBZciELAADbx1uS3G6xoKoOr6rXVdW7quqCqjp5lD+1qh6/sNyvVdXjxvQvVNXZVXV+Vf3KKDu2qt5XVS9IcmGSY6rqtNFD/IKq+pmDtZMAAHBt7NjqCgAAAElV7UhyvyR/t2zWfyb5ge7+VFXdMsk7qur0JM9L8ookvzN6XT8kyV2q6j5Jjk9ylySV5PSqukeSfx3lp3T3O6rqzkmOGj3EU1VHbPpOAgDABhBqAwDA1rpxVZ03pt+S5LnL5leSXx/B9JeSHJXkVt19cVV9vKq+Ocmtkpzb3R8fofZ9kpw71j88U5j9r0k+1N3vGOUfSPJ1VfV7Sf42yd9vzu4BAMDGEmoDAMDW+lx3n7jG/IclOTLJnbv7C1V1cZIbjXl/muQRSb4mU8/tZArB/293//HiRqrq2CT/sXS/u6+sqm9Kct9M43g/OMmPXct9AQCATWdMbQAA2N5umuSjI9D+ziS3WZj3yiQnJfmWJGeMsjOS/FhVHZ4kVXVUVX318o2OoUyu191/leSXktxpE/cBAAA2jJ7aAACwvb0oyd9U1QVJdiX5p6UZ3f35qnpDkk909xdH2d9X1X9N8vaqSpLPJPmRJF9ctt2jkvzZGI87SZ60ubsBAAAbo7p7q+sAAAAcgBFIvyvJg7r7/VtdHwAAOBgMPwIAADNUVSck2Z3kdQJtAACuS/TUBgAAAABgNvTUBgAAAABgNoTaAAAAAADMhlAbAAAAAIDZEGoDAAAAADAbQm0AAAAAAGbj/wfj01tpiaF9ygAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (25, 10))\n",
    "\n",
    "plt.bar(playerNameList, piecesWonList, color = 'blue', width = 0.5)\n",
    "plt.xlabel(\"Players\")\n",
    "plt.ylabel(\"Pieces Won\")\n",
    "plt.title(\"Pieces Won in their Career\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "id": "88ab43ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (25, 10))\n",
    "\n",
    "plt.bar(playerNameList, piecesAvg, color = 'green', width = 0.5)\n",
    "plt.xlabel(\"Players\")\n",
    "plt.ylabel(\"Average Pieces Won\")\n",
    "plt.title(\"Average Pieces Won in their Career\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "id": "331457b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (25, 10))\n",
    "\n",
    "plt.bar(playerNameList, piecesLostList, color = 'red', width = 0.5)\n",
    "plt.xlabel(\"Players\")\n",
    "plt.ylabel(\"Pieces Lost\")\n",
    "plt.title(\"Pieces Lost in their Career\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "id": "66e62d84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (25, 10))\n",
    "\n",
    "plt.bar(playerNameList, piecesAvgLost, color = 'maroon', width = 0.5)\n",
    "plt.xlabel(\"Players\")\n",
    "plt.ylabel(\"Average Pieces Lost\")\n",
    "plt.title(\"Average Pieces Lost in their Career\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "id": "fa752316",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (25, 10))\n",
    "\n",
    "plt.bar(playerNameList, avgMovesList, color = 'pink', width = 0.5)\n",
    "plt.xlabel(\"Players\")\n",
    "plt.ylabel(\"Average Moves before Bloodshed\")\n",
    "plt.title(\"Average Moves before Capturing a Piece\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "id": "9ae9ed76",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (25, 10))\n",
    "\n",
    "plt.bar(playerNameList, profitList, color = 'purple', width = 0.5)\n",
    "plt.xlabel(\"Players\")\n",
    "plt.ylabel(\"Piece Profit\")\n",
    "plt.title(\"Overal Piece Net Gain\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "748b6786",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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