san antonio melee tournament data june august.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# San Antonio Melee tournament data June 4th - August-27\n",
    "\n",
    "## 1. Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import xml.etree.cElementTree as et\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Parse SkillKeeper \"Summer PR Draft 1.bcn\" (bacon?) file\n",
    "It's actually just an xml file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "﻿<?xml version=\"1.0\" encoding=\"utf-8\"?>\n",
      "\n",
      "<SK92>\n",
      "\n",
      "  <Settings Multiplier=\"200\" MinMatches=\"4\" Decay=\"3\" DecayValue=\"2\" />\n",
      "\n",
      "  <Players>\n",
      "\n",
      "    <Player Name=\"Arc\" Team=\"\" Invisible=\"false\" Characters=\"\" Alts=\"FX | Arc\" />\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# open the matches file\n",
    "matches_file = \"Summer PR Draft 1.bcn\"\n",
    "with open(matches_file, 'r') as f:\n",
    "    file = f.readlines()\n",
    "\n",
    "# print the first 5 lines\n",
    "for x in range(5):\n",
    "    print(file[x])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Parse Summer PR Draft 1.bcn with the built in xml library's `xml.etree.ElementTree.parse()`\n",
    "* https://docs.python.org/3/library/xml.etree.elementtree.html#xml.etree.ElementTree.parse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# parse bcn file (just xml)\n",
    "parsedXML = et.parse(matches_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SkillKeeper settings\n",
    "* https://docs.python.org/3/library/xml.etree.elementtree.html#xml.etree.ElementTree.ElementTree.getroot\n",
    "* https://docs.python.org/3/library/xml.etree.elementtree.html#xml.etree.ElementTree.ElementTree.find"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Settings: \n",
      " Multiplier: 200 \n",
      " Min Matches: 4 \n",
      " Decay: 3 \n",
      " Decay Value: 2 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# settings\n",
    "multipler = parsedXML.getroot().find(\"Settings\").get('Multiplier')\n",
    "minmatches = parsedXML.getroot().find(\"Settings\").get('MinMatches')\n",
    "decay = parsedXML.getroot().find(\"Settings\").get('Decay')\n",
    "decayValue = parsedXML.getroot().find(\"Settings\").get('DecayValue')\n",
    "print(\"Settings: \\n Multiplier: {} \\n Min Matches: {} \\n Decay: {} \\n Decay Value: {} \\n\". format(multipler, minmatches, decay, decayValue))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Turn matches into list, and turn that list into a Pandas DataFrame\n",
    "* https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "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>description</th>\n",
       "      <th>id</th>\n",
       "      <th>order</th>\n",
       "      <th>player1</th>\n",
       "      <th>player2</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>tournament</th>\n",
       "      <th>winner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>sanantoniomelee - Muramasa Monday Redemption 66</td>\n",
       "      <td>ab707ee35e224f5187754a431cf9a565</td>\n",
       "      <td>None</td>\n",
       "      <td>Mighty</td>\n",
       "      <td>Riff</td>\n",
       "      <td>6/4/2018 9:46:48 PM</td>\n",
       "      <td>Muramasa Monday Redemption 66</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sanantoniomelee - Muramasa Monday Redemption 66</td>\n",
       "      <td>77f18550f24a46f6ae68a3cf95789760</td>\n",
       "      <td>None</td>\n",
       "      <td>Blitz</td>\n",
       "      <td>PopStar</td>\n",
       "      <td>6/4/2018 9:46:48 PM</td>\n",
       "      <td>Muramasa Monday Redemption 66</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>sanantoniomelee - Muramasa Monday Redemption 66</td>\n",
       "      <td>79c81769f81f4c4ea9c6c792790242f6</td>\n",
       "      <td>None</td>\n",
       "      <td>Clipman</td>\n",
       "      <td>Velocity</td>\n",
       "      <td>6/4/2018 9:46:48 PM</td>\n",
       "      <td>Muramasa Monday Redemption 66</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>sanantoniomelee - Muramasa Monday Redemption 66</td>\n",
       "      <td>fa024be387254276aacb5201a1f9b179</td>\n",
       "      <td>None</td>\n",
       "      <td>HS</td>\n",
       "      <td>Deca</td>\n",
       "      <td>6/4/2018 9:46:48 PM</td>\n",
       "      <td>Muramasa Monday Redemption 66</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>sanantoniomelee - Muramasa Monday Redemption 66</td>\n",
       "      <td>9c58853a1af647c6b18791bb81fba8e7</td>\n",
       "      <td>None</td>\n",
       "      <td>Bean</td>\n",
       "      <td>Your Dad's Yoshi</td>\n",
       "      <td>6/4/2018 9:46:48 PM</td>\n",
       "      <td>Muramasa Monday Redemption 66</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       description  \\\n",
       "0  sanantoniomelee - Muramasa Monday Redemption 66   \n",
       "1  sanantoniomelee - Muramasa Monday Redemption 66   \n",
       "2  sanantoniomelee - Muramasa Monday Redemption 66   \n",
       "3  sanantoniomelee - Muramasa Monday Redemption 66   \n",
       "4  sanantoniomelee - Muramasa Monday Redemption 66   \n",
       "\n",
       "                                 id order  player1           player2  \\\n",
       "0  ab707ee35e224f5187754a431cf9a565  None   Mighty              Riff   \n",
       "1  77f18550f24a46f6ae68a3cf95789760  None    Blitz           PopStar   \n",
       "2  79c81769f81f4c4ea9c6c792790242f6  None  Clipman          Velocity   \n",
       "3  fa024be387254276aacb5201a1f9b179  None       HS              Deca   \n",
       "4  9c58853a1af647c6b18791bb81fba8e7  None     Bean  Your Dad's Yoshi   \n",
       "\n",
       "             timestamp                     tournament winner  \n",
       "0  6/4/2018 9:46:48 PM  Muramasa Monday Redemption 66      1  \n",
       "1  6/4/2018 9:46:48 PM  Muramasa Monday Redemption 66      2  \n",
       "2  6/4/2018 9:46:48 PM  Muramasa Monday Redemption 66      1  \n",
       "3  6/4/2018 9:46:48 PM  Muramasa Monday Redemption 66      1  \n",
       "4  6/4/2018 9:46:48 PM  Muramasa Monday Redemption 66      1  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# parse matches into list of dicts\n",
    "matches = []\n",
    "for match in list(parsedXML.getroot().find(\"Matches\")):\n",
    "    matches.append({\n",
    "        \"id\": match.get(\"ID\"),\n",
    "        \"timestamp\": match.get(\"Timestamp\"),\n",
    "        \"order\": match.get(\"order\"),\n",
    "        \"tournament\": match.get(\"Tournament\"),\n",
    "        \"description\": match.get(\"Description\"),\n",
    "        \"player1\": match.get(\"Player1\"),\n",
    "        \"player2\": match.get(\"Player2\"),\n",
    "        \"winner\": match.get(\"Winner\")\n",
    "    })\n",
    "    \n",
    "# pass list of dicts to pandas\n",
    "matches_df = pd.DataFrame(matches)\n",
    "matches_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Turn players into list, turn that list into a Pandas DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# parse players into a list of dicts\n",
    "players = []\n",
    "for player in parsedXML.getroot().find(\"Players\").getchildren():\n",
    "    players.append({\n",
    "        \"name\": player.get(\"Name\"),\n",
    "        \"team\": player.get(\"Team\"),\n",
    "        \"invisible\": player.get(\"Invisible\"),\n",
    "        \"characters\": player.get(\"Characters\"),\n",
    "        \"alts\": player.get(\"Alts\")\n",
    "    })\n",
    "# pass list of dicts into pandas\n",
    "players_df = pd.DataFrame(players)\n",
    "\n",
    "# turn alts in matches_df into primary name ( actually not needed)\n",
    "#todo split alts on ;\n",
    "#for index, player in .iterrows():\n",
    "#    matches_df.loc[matches_df['player2'].isin(player.alts)]\n",
    "#matches_df['player1'].replace(players_df['alts'], player_df['name'])\n",
    "#matches_df['player2'].replace(players_df['alts'], player_df['name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/f00/anaconda/envs/machine_learning_cookbook/lib/python3.6/site-packages/ipykernel/__main__.py:9: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=False'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
      "\n",
      "/Users/f00/anaconda/envs/machine_learning_cookbook/lib/python3.6/site-packages/ipykernel/__main__.py:10: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=False'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
      "\n",
      "/Users/f00/anaconda/envs/machine_learning_cookbook/lib/python3.6/site-packages/ipykernel/__main__.py:11: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=False'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
      "\n",
      "/Users/f00/anaconda/envs/machine_learning_cookbook/lib/python3.6/site-packages/ipykernel/__main__.py:12: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=False'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        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>index</th>\n",
       "      <th>alts</th>\n",
       "      <th>characters</th>\n",
       "      <th>invisible</th>\n",
       "      <th>team</th>\n",
       "      <th>p1wins</th>\n",
       "      <th>p1losses</th>\n",
       "      <th>p2wins</th>\n",
       "      <th>p2losses</th>\n",
       "      <th>player1</th>\n",
       "      <th>player2</th>\n",
       "      <th>total_wins</th>\n",
       "      <th>total_losses</th>\n",
       "      <th>total_matches</th>\n",
       "      <th>win_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4SK</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>false</td>\n",
       "      <td></td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>13</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5ive</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td>false</td>\n",
       "      <td></td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10</td>\n",
       "      <td>16.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abby</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>false</td>\n",
       "      <td></td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Africa</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>false</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Afukasi</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>false</td>\n",
       "      <td></td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     index alts characters invisible team  p1wins  p1losses  p2wins  p2losses  \\\n",
       "0      4SK                     false          6.0       7.0     6.0       1.0   \n",
       "1     5ive    5                false         12.0       6.0     4.0       0.0   \n",
       "2     Abby                     false          2.0       6.0     4.0       2.0   \n",
       "3   Africa                     false          0.0       4.0     0.0       0.0   \n",
       "4  Afukasi                     false          0.0       2.0     0.0       0.0   \n",
       "\n",
       "   player1  player2  total_wins  total_losses  total_matches  win_ratio  \n",
       "0      7.0       13        12.0           8.0           20.0   1.500000  \n",
       "1     12.0       10        16.0           6.0           22.0   2.666667  \n",
       "2      4.0       10         6.0           8.0           14.0   0.750000  \n",
       "3      0.0        4         0.0           4.0            4.0   0.000000  \n",
       "4      0.0        2         0.0           2.0            2.0   0.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set name to index so i can merge \n",
    "players_df = players_df.set_index(\"name\")\n",
    "\n",
    "# getting list of wins for player 1 and player2 of each match\n",
    "player1_wins = matches_df.loc[matches_df['winner'] == \"1\"]\n",
    "player2_wins = matches_df.loc[matches_df['winner'] == \"2\"]\n",
    "\n",
    "# add p1wins, p1losses, p2wins, p2losses to each row\n",
    "players_df = pd.concat((players_df, player1_wins['player1'].value_counts().rename(\"p1wins\")), axis=1)\n",
    "players_df = pd.concat((players_df, player1_wins['player2'].value_counts().rename(\"p1losses\")), axis=1)\n",
    "players_df = pd.concat((players_df, player2_wins['player2'].value_counts().rename(\"p2wins\")), axis=1)\n",
    "players_df = pd.concat((players_df, player2_wins['player1'].value_counts().rename(\"p2losses\")), axis=1)\n",
    "\n",
    "# count matches\n",
    "player2_counts = matches_df['player2'].value_counts()\n",
    "player1_counts = matches_df['player1'].value_counts()\n",
    "\n",
    "# player1 column = # of matches where you are player1\n",
    "players_df = players_df.join(player1_counts)\n",
    "\n",
    "# player2 column = # of matches where you are player2\n",
    "players_df = players_df.join(player2_counts)\n",
    "\n",
    "# fill nulls with 0's\n",
    "players_df = players_df.fillna(0)\n",
    "\n",
    "# total wins = p1wins + p2wins\n",
    "players_df['total_wins'] = players_df['p1wins'] + players_df['p2wins']\n",
    "# total losses = p1losses + ps2losses\n",
    "players_df['total_losses'] = players_df['p1losses'] + players_df['p2losses']\n",
    "# total matches = # of matches where you are player1 + # of matches where you are player2\n",
    "players_df['total_matches'] = players_df['player1'] + players_df['player2']\n",
    "# win ratio = total wins / total losses\n",
    "players_df['win_ratio'] = players_df['total_wins'] / players_df['total_losses']\n",
    "\n",
    "# reset index so we can graph names column\n",
    "players_df = players_df.reset_index()\n",
    "players_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Some numbers and graphs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### number of players, number of matches, and number of tournaments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Players: 134\n",
      "Number of Matches: 1818\n",
      "Number of Tournaments: 52\n"
     ]
    }
   ],
   "source": [
    "# number of players, number of matches, number of tournaments\n",
    "num_players = len(players_df)\n",
    "num_matches = len(matches_df)\n",
    "num_tournaments = len(matches_df['tournament'].unique())\n",
    "print(\"Number of Players: {}\".format(num_players))\n",
    "print(\"Number of Matches: {}\".format(num_matches))\n",
    "print(\"Number of Tournaments: {}\".format(num_tournaments))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### unique player matchups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1221"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# number of unique player1 player 2 matches\n",
    "len(matches_df[['player1', 'player2']].drop_duplicates())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### bar graph of top 10 players by total matches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "players_df = players_df.sort_values('total_matches', ascending=False)\n",
    "total_matches_by_player_plot = players_df[:10].reset_index().plot(x='index', y='total_matches', kind=\"barh\")\n",
    "total_matches_by_player_plot.set_xlabel('Total matches')\n",
    "total_matches_by_player_plot.set_ylabel('Player')\n",
    "#total_matches_by_player_plot.get_figure().savefig('top10totalmatches.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### bar graph of top 10 players by total wins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "players_df = players_df.sort_values('total_wins', ascending=False)\n",
    "total_wins_by_player_plot = players_df[:10].plot(x='index', y='total_wins', kind=\"barh\")\n",
    "total_wins_by_player_plot.set_xlabel('Total wins')\n",
    "total_wins_by_player_plot.set_ylabel('Player')\n",
    "total_wins_by_player_plot.get_figure().savefig('top10totalwins.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### bar graph of top 10 players by total losses (grats to cagliostro)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "players_df = players_df.sort_values('total_losses', ascending=False)\n",
    "total_losses_by_player_plot = players_df[:10].plot(x='index', y='total_losses', kind=\"barh\")\n",
    "total_losses_by_player_plot.set_xlabel('Total losses')\n",
    "total_losses_by_player_plot.set_ylabel('Player')\n",
    "#total_losses_by_player_plot.get_figure().savefig('top10totallosses.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### bar graph of top 10 players by win/loss ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "players_df = players_df.sort_values('win_ratio', ascending=False)\n",
    "win_ratio_by_player_plot = players_df[:10].plot(x='index', y='win_ratio', kind=\"barh\")\n",
    "win_ratio_by_player_plot.set_xlabel('Win Ratio')\n",
    "win_ratio_by_player_plot.set_ylabel('Player')\n",
    "win_ratio_by_player_plot.get_figure().savefig('top10winratio.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## 4. Ranking using TrueSkill\n",
    "#### SkillKeeper uses this java library: https://github.com/moserware/Skills)\n",
    "there is a library that tries to port Moserware's Skills library from Java, just not enough documentation\n",
    "* https://github.com/McLeopold/PythonSkills/\n",
    "\n",
    "\n",
    "this library is a simple implemention of trueskill, nice but same problem\n",
    "* https://github.com/dougz/trueskill\n",
    "\n",
    "\n",
    "and this is the one i actually used\n",
    "* https://github.com/sublee/trueskill\n",
    "* http://trueskill.org/\n",
    "* https://github.com/sublee/trueskill/blob/master/docs/index.rst\n",
    "\n",
    "*shout out to Heungsub Lee for making this easy for me*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from trueskill import Rating, rate_1vs1\n",
    "\n",
    "# convert timestamps from strings to datetime64\n",
    "matches_df['timestamp'] = pd.to_datetime(matches_df['timestamp'])\n",
    "\n",
    "# lets sort by timestamp so we can go through the matches in chronological order\n",
    "matches_df.sort_values(\"timestamp\", ascending=True)\n",
    "\n",
    "# create Rating for every player\n",
    "ratings = dict()\n",
    "for index, player in players_df.iterrows():\n",
    "    ratings[player['index']] = Rating()\n",
    "\n",
    "# go through every match and update winner's and loser's rating\n",
    "for index, match in matches_df.iterrows():\n",
    "    player1 = match['player1']\n",
    "    player2 = match['player2']\n",
    "    \n",
    "    if match['winner'] == \"1\":\n",
    "        ratings[player1], ratings[player2] = rate_1vs1(ratings[player1], ratings[player2])\n",
    "    elif match['winner'] == \"2\":\n",
    "        ratings[player1], ratings[player2] = rate_1vs1(ratings[player1], ratings[player2])\n",
    "    elif match['winner'] == \"0\":\n",
    "        ratings[player1], ratings[player2] = rate_1vs1(ratings[player1], ratings[player2], drawn=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# players sort by mu\n",
    "mu_sorted_ratings = sorted(ratings.items(), key=lambda x: x[1].mu, reverse=True)\n",
    "# players sort by sigma\n",
    "sigma_sorted_ratings = sorted(ratings.items(), key=lambda x: x[1].sigma, reverse=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## list comphrensions to make nice lists for matplotlib\n",
    "* https://docs.python.org/3/tutorial/datastructures.html#list-comprehensions\n",
    "* https://matplotlib.org/api/_as_gen/matplotlib.pyplot.bar.html\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### top 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "players = [player[0] for player in mu_sorted_ratings[:20]]\n",
    "ratings = [player[1].mu for player in mu_sorted_ratings[:20]]\n",
    "plt.barh(players, ratings)\n",
    "plt.savefig('top20trueskill.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### bottom 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "players = [player[0] for player in mu_sorted_ratings[-20:]]\n",
    "ratings = [player[1].mu for player in mu_sorted_ratings[-20:]]\n",
    "plt.barh(players, ratings)\n",
    "plt.savefig('bottom20trueskill.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Tournaments by Attendance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tournaments = matches_df['tournament'].unique()\n",
    "counts = []\n",
    "\n",
    "for tournament in tournaments:\n",
    "    tournament_df = matches_df[matches_df['tournament'] == tournament]\n",
    "    players = tournament_df['player1'].unique().tolist()\n",
    "    players += tournament_df['player2'].unique().tolist()\n",
    "    counts.append(len(players))\n",
    " \n",
    "x = [x for y, x in sorted(zip(counts, tournaments))]\n",
    "y = [y for y, x in sorted(zip(counts, tournaments))]\n",
    "\n",
    "plt.barh(x[0:10], y[-10:])\n",
    "plt.savefig('top10tourniesbyattendance.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Tournaments by new attendance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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S2d+BvXO8jSk+ifBYB+I2MzMzMzMzM7N3SW8+BR6AiHiK4luS1SazbOv0DGB+nf5zJD0APEiRBLu3gyFcClwvqZFiW/UjWb49cK6kpcBi4LiIeFHShRSrQpszrlZFxKQaZc9KOgWYQrFC8qaIuPYdnZf3DeAPebDR5HbET0S8KWkK8GJELKkx5trAz/NTAG8Bf6PYDt9eJwCXSPpPihWatT60eRHFlvlZ+W3SFopPAuwJnCxpMfAKUHMFKEVi9YdVZWcBE/MzBAK+FRELOhC3mZmZmZmZmZm9S7RsZ7FZ58rDj2YBn4+Iv3bB+GsCr0VESBoNjImIAzt7ns7Q0NAQjY2N3R2GmZmZmZmZmVmPIWlmHkzeql6/AtS6hqRtKQ4uurorkp9pGMUBRAJeBL7URfOYmZmZmZmZmdl7lBOg1iUi4iFgyy6e425gcFfOYWZmZmZmZmZm720+BMnMzMzMzMzMzMx6rF6dAJXULOnuqrLZkuZ1V0ydRdJYSSFp71LZwVnW6unxHZijWdJGKznGOvnOK/8tkPSzrPuQpCmSHpA0V9KnavQfWP69JB0taZak969MXDnWmZJG5fUJ+c1RMzMzMzMzMzN7D+nVCdC0jqTNACR9bEUGkNS3c0PqNE3AmNL9aGBON8VSU0S8HBFDKv8BTwBXZfWpwBURsSNF7Oe3NpakLwJfB/aJiBc6IbbTIuL2vD0BcALUzMzMzMzMzOw9xglQuAI4LK/HAJdVKnIV5fjS/Q2S9szrV3KF4HRgV0mnSZohaZ6kCXkwD5KmSvqppLskPSxpuKSrJP1V0vdLY18jaaakByUdk2V9JU3MMZsknZjlR+dccyRNbmVl4t3ATpJWk7Q2sBUwuzTn3rm6sknSxZJWz/JmSWfkSsomSR/N8g0l3ZZ9fgWojfi/LOmnpTZHS/rvej+EpK2BD2TcAAGsm9frAc+00vdQ4NsUyc8FpXffkNcbSWrO67EZ7/WSHpf0NUnfzOeaJmmDbDdR0iGSjgc2AaZImpJ1+0i6L9/Rlfl+zczMzMzMzMxsFeMEKPwR+Gxefwa4vp391gLmRcTOEXEPMD4ihkfEIGANYP9S2zcjYgTwS+Ba4KvAIGCspA2zzZciYhjQAByf5UOATSNiUERsD/wm216Vcw0GHga+XCfGAG4HPgkcCFxXqZDUH5gIHJZj9wOOK/VdEBFDgQuAk7Lse8A9uSLzOuBDpfa14p8EHCBptWxzVOkZahkDXB4RkfenA/8u6SngJorVnbVsDoynSH4+18r4ZYOALwA7AWcDi/K57gOOKDeMiP+hSL6OjIiRue3/VGBUvqNG4JvVE0g6RlKjpMaWlpZ2hmVmZmZmZmZmZp3JCVD4F/CCpNEUycRF7ey3BJhcuh8pabqkJmAvYLtSXSXx2AQ8GBHPRsQbwGPAZll3vKQ5wLQs2zrrt5T0c0n7Ai9l20GS7s65Dq+aq9okiu3joymtbgW2AR6PiPl5/1tgRKm+sg19JjAwr0cAlwBExI1AeZv5O+KPiFeBPwP75yrS1SKiqZVYq2McA0yMiP8DfAr4vaRa/2ZbgL8Dh7YydrUpuf2+BVjIssR3E8uet55dgG2BeyXNBo6kSMIuJyImRERDRDQMGDCgA6GZmZmZmZmZmVln6dfdAawiLgd+AYytKn+L5ZPE/UvXr0fEEnh7NeX5QENEPCnp9Kq2b+TfpaXryn2/3FY/Ctg1IhZJmgr0j4gXJA2mWMH5VYoE35coVm4eFBFzJI0F9qz3YBFxv6RBwGsRMT935kNp+3odlTiXsPy/k6huWC/+rL4I+C/gEVpZ/ZnP2S8iZpaKvwzsm89xX77njYDnq7ovAvYD7pH0fERcmuXl369/VZ/q36H8G7X1/4WAP0XEmDbamZmZmZmZmZlZN/MK0MLVwI+AW6vKm4EhkvrkQUk71elfSa4tyG9BdvSU9fWAFzJ5+FGKFYbkVus+ETEZ+C4wNNuvAzybW8sPb8f4p1AkIcseAQZK2irvvwjc2cY4d1Xmk7QfUDlpvWb8ABExnWJF6BdYfnVntTE16v8O7J3zfYziPdfcS54rOfcFzpH0ySxuBobldUd/k2ovU7x3KFa57lZ5d5LWlPSRlRzfzMzMzMzMzMy6gFeAUpxEDowDKK2QBLgXeJxiW/Q8YFad/i9KujDbNQMzOhjCLcCxkuYCf6FIsAFsCvymtO37lPz7XWA6xYnpTSxLzNUUETfXKHtd0lHAlZL6Zcy/bCPOM4DLJM2iSJb+vY34K64AhrRxMvuhFNvcy/4TuDAPfwpgbOn7oO8QEY9LOgC4SdJngR8DV6g4Hf7PbTxbWyYAN0t6Nr8DOpbiXaye9acC8+v2NjMzMzMzMzOzbqFW8klmnULSDcBPI+KO7o6luzQ0NERjY2N3h2FmZmZmZmZm1mNImhkRDW218xZ46zKS1pc0n+L7o702+WlmZmZmZmZmZt3HW+Cty0TEi4C/jWlmZmZmZmZmZt3GK0DNzMzMzMzMzMysx1plE6CSmiXdXVU2W9K87oqps0gaKykk7V0qOzjLVva08sp4zXmKfGeM0yRprqQ7JW3ewf5jJY1f2TjamOMgSduW7s+UNKoTxj08/81V/lsqaYikdarKF0j62crOZ2ZmZmZmZmZmnW+VTYCmdSRtBiDpYysygKS+nRtSp2kCxpTuRwNzuimWtoyMiB2AqRSnna9qDgLeToBGxGkRcfvKDhoRl0bEkIgYAnwRaI6I2RHxcqU8654ArlrZ+czMzMzMzMzMrPOt6gnQK4DD8noMcFmlonploaQbJO2Z16/kKsDpwK6STpM0Q9I8SRMkKdtNlfRTSXdJeljScElXSfqrpO+Xxr5G0kxJD0o6Jsv6SpqYYzZJOjHLj8655kiaLGnNOs92N7CTpNUkrQ1sBcwuzbm3pAdy7IslrZ7lzZLOkDQr6z6a5RtKui37/ApQG/F/WdJPS22OlvTfbfwe9wGblvr8u6T7cxXkryrJZklHSZov6U5gt1L7AflOZuR/u2X56ZJ+m/E3S/qspB/l890iabXSs4/LOe+XtJWkjwMHAOdmHB/O3+WQFXmPrVju31/pmbYGPkDxe5qZmZmZmZmZ2SpmVU+A/hH4bF5/Bri+nf3WAuZFxM4RcQ8wPiKGR8QgYA1g/1LbNyNiBPBL4Frgq8AgYKykDbPNlyJiGNAAHJ/lQ4BNI2JQRGwP/CbbXpVzDQYeBr5cJ8YAbgc+CRwIXFepkNQfmAgclmP3A44r9V0QEUOBC4CTsux7wD0RsWOO9aFS+1rxTwIOqCQXgaNKz1DPvsA1GePHKJLTu+UqyCXA4ZI+CJxBkfj8BKWVmcB5wE8jYjjwOeCiUt2HgU/nu7gEmJLP/lqWV7wUETsB44GfRcT/5vOenCsyH600XMH3WM9h1EiAUiRGL4+IqK6QdIykRkmNLS0tbQxvZmZmZmZmZmZdYVVPgP4LeEHSaIpk4qJ29lsCTC7dj5Q0XVITsBewXamuknhsAh6MiGcj4g3gMWCzrDte0hxgWpZtnfVbSvq5pH2Bl7LtIEl351yHV81VbRLF1vfRLJ9c2wZ4PCLm5/1vgRGl+sp265nAwLweQZE4JCJuBF4otX9H/BHxKvBnYP9c/bhaRDTViXOKpOeBUcAfsmxvYBgwQ9LsvN8S2BmYGhEtEfEmcHlpnFHA+Gx/HbCupHWy7uaIWEzxO/QFbsnyptIzUnpPlwG71om3YkXe4ztI2hlYFBG1vj9b/du9LSImRERDRDQMGDCgjVDNzMzMzMzMzKwr9OvuANrhcuAXwNiq8rdYPoHbv3T9ekQsgbdXAZ4PNETEk5JOr2r7Rv5dWrqu3PdTsa1+FLBrRCySNBXoHxEvSBpMsYLzq8ChwJcoVhweFBFzJI0F9qz3YBFxv6RBwGsRMT935kNp+3odlTiXsPxvWGsVYs34s/oi4L+AR2h99edI4FWKZzsT+GbG+NuIOKVqvoNqxZH6ZByvVfV5+5kiYqmkxaUVlUtbecZ687w9dBv19d5jtZpJzvz9+0XEzDbmMTMzMzMzMzOzbrKqrwAFuBr4EXBrVXkzMERSHxUHJe1Up38l2bcgv7XZ0VPW1wNeyOThR4FdAFScsN4nIiYD3wWGZvt1gGdza/nh7Rj/FIokZNkjwEBJW+X9F4E72xjnrsp8kvYD3t9a/AARMZ1iRegXqLOKsdT2NeAE4AhJGwB3AIdI+kDOuYGKE+KnA3vmN0lXAz5fGuY24GuVG0lD2nimWg4r/b0vr1+meO/VVuQ9LkdSH4pnmFSjuuZ3Qc3MzMzMzMzMbNWxyq8AjYiXgXHw9krBinuBxym2SM8DZtXp/6KkC7NdMzCjgyHcAhwraS7wF4pt5FAcBvSbTJBBkciEIhk6neJk8CZqJ+bK8d1co+x1SUcBV0rqlzH/so04zwAukzSLIsn39zbir7gCGBIRL9CGiHhW0mXAVyPiLEmnArflO1ic5dNyle19wLMUv0vfHOJ44BcZSz+KpO2xbc1bZXUVh1v1oUhAQpGcvFDS8ZQS3Cv4HquNAJ6KiMdq1B0KfKqD45mZmZmZmZmZ2btINc5usV5E0g0UBxPd0d2xtEVSM8WnDBZ0dywd1dDQEI2Njd0dhpmZmZmZmZlZjyFpZkQ0tNXuvbAF3rqApPUlzaf4/ugqn/w0MzMzMzMzMzNbEav8FnjrGhHxIvCR7o6jIyJiYHfHYGZmZmZmZmZm7y29egWopJD0+9J9P0ktuS38PU3S6fl8W5XKTsyyNpcGt3OOVzphjG0kzS7995KkE7Lu8lJ5s6TZNfoPlDSvdH+0pFmS3l/ddgViO1PSqLw+QdKaKzummZmZmZmZmZm9u3r7CtBXgUGS1shTzj8BPN2RAVSczKSIWNoVAa6kJmA08P28PwR4qPvCeaeI+AswBEBSX4r3f3XWVU58R9JPgIWtjSXpi8DXgb3ac6hTO2I7rXR7AnAJsGhlxzUzMzMzMzMzs3dPr14Bmm4GPp3XY4DLKhW5ivKk0v28XHE4UNLDks6nOOV8M0kXSGqU9KCkM0p9miWdI+m+rB8q6VZJj0o6NtusLemOXLnYJOnALF9L0o2S5uTch2X5aZJmZNmETMLWcg1QGWtLigRiSym2MTnfPEnjSuWvSDo7550maeMs3yKfY4aks0rt68V/lqRvlNqdnSe117M38GhEPFEuzOc7tPzbVJN0KPBtYJ/KIUmSplZWu0raKA9RQtJYSddIul7S45K+Jumbkh7I590g202UdEjGvAkwRdKUrNsn38UsSVdKWruV5zIzMzMzMzMzs27iBChMAkZL6g/sAExvZ79tgN9FxI6ZsPtOnjq1A7CHpB1KbZ+MiF2Bu4GJFCsxdwHOzPrXgYMjYigwEvhJJv32BZ6JiMERMQi4JduPj4jhWbYGsH+dGF8CnpQ0iCK5e3mlQtImwDhgL4oVmMMlHZTVawHTImIwcBdwdJafB1wQEcOB50rz1Iv/18CROV8fitWol9Z/pYymdpJzd+AfEfHXOv02B8ZTJD+fq9Om2iDgC8BOwNnAoojYEbgPOKLcMCL+B3gGGBkRIyVtBJwKjMpnbgS+2c55zczMzMzMzMzsXdTrE6ARMRcYSJEgvKkDXZ+IiGml+0MlzQIeALYDti3VXZd/m4DpEfFyRLQAr0taHxBwjqS5wO3ApsDG2X6UpHGSdo+IyhbwkZKmS2qiSGBu10qckygSiweRW8vTcGBqRLRExFsUickRWfcmUPkO6kyK9wOwG8sSlG9/O7Ve/BHRDPxT0o7APsADEfHPWkFKeh9wAHBljerlVubW0AL8nWKVaHtNKf0OC4Hrs7yJZc9bzy4Uv++9+V3SIymSsMuRdEyu+m1saWmprjYzMzMzMzMzs3dBb/8GaMV1wI+BPYENS+VvsXySuH/p+tXKhaQtgJOA4RHxgqSJVW3fyL9LS9eV+37A4cAAYFhELM6t2v0jYr6kYcCngB9Iug34EXA+0BART0o6vWquatcD5wKNEfFSabd8vW3zAIsjIvJ6Ccv/O4ka7WvGn3UXAWOBfwMubmXO/YBZEfGPcqGkfsBngWGt9F2U/e+R9HxEVFaZln+/6ndU/TuUf6O2/r8Q8KeIGNNao4iYAEwAaGiw3/wLAAAgAElEQVRoqPXezMzMzMzMzMysi/X6FaDpYuDMiGiqKm8GhgJIGgpsUaf/uhQJ0YX5vcz9Ojj/esDzmTwcSa4mzG3qiyLiEooE7VCWJfIW5HcnD2lt4Dzc6VsU27zLplNs1d9IxeFDY4A724jzXorVpFAkPVuNP11NsZV/OHBrK2PXW+U5CngkIp5qLbBcybkvxUrUT2ZxM8sSp62+p3Z4GVgnr6cBu0naCkDSmpI+spLjm5mZmZmZmZlZF/AKUCCTa+fVqJoMHJHbnGcA8+v0nyPpAeBB4DGKRGFHXApcL6kRmA08kuXbA+dKWgosBo6LiBclXUixVbs542pVREyqUfaspFOAKRQrGm+KiGvbGOobwB/yYKPJ7YifiHgzDw56MSKW1BpU0prAJ4D/qFFd77ug7xARj0s6ALhJ0mcpksZXqDgd/s/tGaMVE4CbJT2b3wEdC1wmafWsP5U6/z7MzMzMzMzMzKz7aNlOZ7POl4cfzQI+38ohRj1eQ0NDNDY2dncYZmZmZmZmZmY9hqSZeSh5q7wF3rqMpG2BvwF39Obkp5mZmZmZmZmZdR9vgbcuExEPAVt2dxxmZmZmZmZmZtZ7OQFq9i5oenohA799Y3eHYWZmZu9hzT/8dHeHYGZmZvae1Gu3wEsKSb8v3feT1CLphu6MqzNIOj2fb6tS2YlZ1uZ3Edo5xyudNM53JD0oaa6k2ZJ2zvKLcgv9iow5UNK8Tojt7oxptqRnJF2T5SeXyudJWiJpg5Wdz8zMzMzMzMzMOl9vXgH6KjBI0hoR8RrFKeRPd2QASaI4SGppVwS4kpooTlD/ft4fAjzUfeG8k6Rdgf2BoRHxhqSNgPcBRMRXujW4IobdK9eSJgPXZvm5wLlZ/hngxIj4V7cEaWZmZmZmZmZmreq1K0DTzUBlL9EY4LJKRa6iPKl0Py9XFg6U9LCk8ylON99M0gWSGnMl4xmlPs2SzpF0X9YPlXSrpEclHZtt1pZ0h6RZkpokHZjla0m6UdKcnPuwLD9N0owsm5BJ2FquASpjbQksBFpKsY3J+eZJGlcqf0XS2TnvNEkbZ/kW+RwzJJ1Val8v/rMkfaPU7mxJx1fF+EFgQUS8ARARCyLimWw/tbJatZWYPpz3MySdWWtVqqS+ks7NNnMl/UeWf1DSXaVVnLtX9y2NsQ6wV77Tasv9uzEzMzMzMzMzs1VLb0+ATgJGS+oP7ABMb2e/bYDfRcSOEfEE8J2IaMgx9pC0Q6ntkxGxK3A3MJFiJeYuwJlZ/zpwcEQMBUYCP8mk5r7AMxExOCIGAbdk+/ERMTzL1qBYQVnLS8CTkgZRJOkur1RI2gQYR5HUGwIMl3RQVq8FTIuIwcBdwNFZfh5wQUQMB54rzVMv/l8DR+Z8fShWo15aFeNtFAnk+ZLOl7RHnWdpLabzMqZn6vT9MrAw2wwHjpa0BfAF4NaIGAIMBmbX6Q9wMMVJ9i+VCyWtSfE7TW6lr5mZmZmZmZmZdaNenQCNiLnAQIoE4U0d6PpEREwr3R8qaRbwALAdUP525XX5twmYHhEvR0QL8Lqk9QEB50iaC9wObApsnO1HSRonafeIWJjjjJQ0XVITRQJzu1binESReDwIuLpUPhyYGhEtEfEWRWJyRNa9CVS+gzqT4v0A7MaylY5vfzu1XvwR0Qz8U9KOwD7AAxHxz3JwEfEKMAw4hmJ16uWSxtZ4jnox7Qpcmdd/qPMO9gGOkDSbIsG9IbA1MAM4StLpwPYR8XKd/lB/ledngHvrbX+XdEyu/G1csmhhrSZmZmZmZmZmZtbFevM3QCuuA34M7EmRHKt4i+UTxP1L169WLnI14UnA8Ih4QdLEqrZv5N+lpevKfT/gcGAAMCwiFktqBvpHxHxJw4BPAT+QdBvwI+B8oCEinszkXXmuatdTfKuyMSJeKu2Wr7dtHmBxREReL2H5fyNRo33N+LPuImAs8G/AxbUmi4glwFRgaiZ1j6RYKdvemNoi4OsRces7KqQRFJ9A+L2kcyPidzXabAjsRLEKtNpoWtn+HhETgAkAq39w61rvzszMzMzMzMzMulivXgGaLgbOjIimqvJmYCiApKHAFnX6r0uREF2Y36bcr4Pzrwc8n8nDkcDmOecmwKKIuIQiQTuUZYnFBZLWpthOX1ce7vQt4OyqqukUW/U3ktSXYoXjnW3EeS9Fwg+KpGer8aerKbaIDwdqJSC3kbR1qWgI8EQbcZRNAz6X16PrtLkVOE7SajnnR/L7qptn3BdSbNcfWqf/54EbIuL1qtjXA/YgD0YyMzMzMzMzM7NVU69fARoRT1F8S7LaZJZtnZ4BzK/Tf46kB4AHgccoEoUdcSlwvaRGiu9QPpLl2wPnSloKLAaOi4gXJV1IsT2+OeNqVURMqlH2rKRTgCkUKyRvioi2EnnfAP6QBxuVv3lZL34i4k1JU4AXc6VntbWBn+enAN4C/kaxHb69TgAukfSfwI0UBz1Vu4hiy/ys/DZpC8UnAfYETpa0GHgFOKLOHKOBH9YoPxi4LSJerVFnZmZmZmZmZmarCC3bWWzWufLwo1nA5yPir10w/prAaxERkkYDYyLiwM6epzM0NDREY2Njd4dhZmZmZmZmZtZjSJqZB5O3qtevALWuIWlbioOLru6K5GcaBozPlZ0vAl/qonnMzMzMzMzMzOw9yglQ6xIR8RCwZRfPcTcwuCvnMDMzMzMzMzOz9zYnQM3eBU1PL2Tgt2/s7jDMzMzMzMzMrJdq/uGnuzuEbtNrToGXtKGk2fnfc5KeLt2/r7vj6wyS+kj6dhtthksKSXt30pwfaOW9bpOHSK3o2F+R1FIa7zdZfnaeON/ecfaStEsbczwg6a+SbqnX1szMzMzMzMzM3nt6zQrQiPgnMARA0unAKxHx45UdV1K/iHhrZcfpJH2Ab1P71PKKMcA9+feO6sr8nqYiYml7JoyI51n2Xr8PLIiIn+X9Vh2KvrZLI+KEqjm/U6thK7/FXsACYFpbc0gaBVwrafeImL8ScZuZmZmZmZmZ2Sqg16wAbY2k/ydpXv739Szbqrx6UdK3JZ2a1/fkKsS7gK9JukTSeZL+V9Jjkg7OdutK+rOkWZLmStq/NPY8SRdLelDS7yR9MvvPl9SQ7daWNFHS/blC8TNZ/hVJf5R0a65a/EGG+UNgnVwt+bsaz9kH+BxwJLBfZeVrKZ5fUpza/kFJn86450i6bSVebz9Jv87nvFlS/5xz64x/pqS7JH2kvQPm+z4or5+S9F1J9wIHSzpR0kMZ9yWSPgx8BTg538vHWxs7Im4Hfg0cneMfK2lGjnelpDUkrZ+/c79ss76kxyX1XaE3ZGZmZmZmZmZmXabXrACtR9JOwOHATkBf4H5JdwKL2ui6bkSMyDEuAT4A7AZsD1wBXA28BhwYES9L+gBwL8XJ6ADbAIcCj1AkHd+IiI9L+hzFKs5DgNOAWyJirKT3A9Ml/Sn7DwaGAm8B8yX9PPt9JSKG1Il5BPBIRDyWCcN9geuyblvgqIg4VtK/ARcAu0fEE5I2yOfcudKmjXdTtg0wJiKaJF0FHARMAiZkrI9K2g0YD+xTo//hkvbM6/+OiHckdoFXI2K3jPFZYPOIeFPS+hHxoqSLKK1MbYdZFEligCsj4pc59g+BsRFxQen93QB8AbgiIpa0c3wzMzMzMzMzM3uX9PoEKLA7MDkiFgFIugb4v0Bbqx4nVd1fExEBzJW0aZYJGCfp/wJLgc0kbZR1f8uT0pH0EHB7ljcBp+T1PhQrNSvf9ewPfCivb4+Il7P/I1n+fBsxjynFPSnvKwnQRyNiRl7vCkyJiCcAIuJf+Xc6ML2NOar9LSKa8nomMFDS+sAuwORixz1Q/9/iO7bA13B56fpB4BJJ1wLXdDDWCpWud5B0JrA+sA7LEtgXAcfn/VHAF98xiHQMcAxA33UHrGAoZmZmZmZmZma2MpwAXT7ZVfYWy38ioH+WVbxa1f6NGmMeAawHDI2ItyQ9leNUt19aul/Kst9FwEER8ehyAUsjqvovoY3fUtJqwMHApyR9L59tfUlr1XgeAdHaeB1QK05RrMist1K1o8qxfxLYAzgQOFXSoBUYb0fg4bz+HbBfRMyT9BWKxC0Rcaek8SoOY1ocEY9UDxIREyhWurL6B7furPdpZmZmZmZmZmYd4G+Awl0U345cQ9LaFImzu4HngE0kvT+/W/npFRh7PeD5TH5+Ati0rQ5VbqVYZQiApB1ba1w5AKjybcoq+wAzImKziBgYER8CrgcOqNH2XmAvSZvneBt0MO5WRcQLwLOlb6X2kTR4ZcfNb3D+n4j4M3AyMABYE3iZYvVme8YYCXyJ4jugAGsBz2UC+QtVzS8BLgV+s7Kxm5mZmZmZmZlZ1+j1CdCIuB+4DJhBcUr4BRHRFBGvA+dk+XXAQysw/O+Bj0tqBD4P/LWD/c8A1pTUJOlB4PR29Pk1xTb86m9ljqH4LmnZZN6Z1CMi/gEcR3Ea+hyKJB+Sds6DkjrDaODYHP9BYP9OGLMf8AdJcym+4zkuPxNwLXBoHiRV6xCkw/OApPnAtyhW3f4l604D7gf+xDv/DVxKkeS+HDMzMzMzMzMzWyWp+GylmXWUpNHAJyPiqLbaNjQ0RGNj47sQlZmZmZmZmZlZ7yBpZkQ0tNXO3wA1WwGSLgBGUZwEb2ZmZmZmZmZmqygnQM1WQEQc190xmJmZmZmZmZlZ23r9N0DNzMzMzMzMzMys5+rVCVBJIen3pft+klok3dCdcXUGSafn821VKjsxy9r8NkI753ilE8bYJg8gqvz3kqQTSvVfl/QXSQ9K+lGN/gMlzSvdHy1plqT3d0JsZ0oaldcnSFpzZcc0MzMzMzMzM7N3V2/fAv8qMEjSGhHxGvAJ4OmODCBJFIdJLe2KAFdSE8Vp69/P+0NYsdPsu0yetj4EQFJfivd/dd6PBA4EdoiINyR9oLWxJH0R+DqwV0S80AmxnVa6PQG4BFi0suOamZmZmZmZmdm7p1evAE03A5/O6zHAZZWKXEV5Uul+Xq44HCjpYUnnA7OAzSRdIKkxVyqeUerTLOkcSfdl/VBJt0p6VNKx2WZtSXfkysUmSQdm+VqSbpQ0J+c+LMtPkzQjyyZkEraWaygSiEjaElgItJRiG5PzzZM0rlT+iqSzc95pkjbO8i3yOWZIOqvUvl78Z0n6Rqnd2ZKOb+W32Bt4NCKeyPvjgB9GxBsAEfF8vY6SDgW+DewTEQuybGpltaukjSQ15/VYSddIul7S45K+Jumbkh7I590g202UdEjGvAkwRdKUrNsn38UsSVdKWruV5zIzMzMzMzMzs27iBChMAkZL6g/sAExvZ79tgN9FxI6ZsPtORDTkGHtI2qHU9smI2BW4G5hIsRJzF+DMrH8dODgihgIjgZ9kUnNf4JmIGBwRg4Bbsv34iBieZWsA+9eJ8SXgSUmDKJK7l1cqJG0CjAP2oliBOVzSQVm9FjAtIgYDdwFHZ/l5wAURMRx4rjRPvfh/DRyZ8/WhWI16af1XymhKCWjgI8DukqZLulPS8Dr9NgfGUyQ/n6vTptog4AvATsDZwKKI2BG4Dzii3DAi/gd4BhgZESMlbQScCozKZ24Evlk9gaRjMund2NLSUl1tZmZmZmZmZmbvgl6fAI2IucBAigThTR3o+kRETCvdHyppFvAAsB2wbanuuvzbBEyPiJcjogV4XdL6gIBzJM0Fbgc2BTbO9qMkjZO0e0QszHFGZlKwiSKBuV0rcU6iSCweRG4tT8OBqRHREhFvUSQmR2Tdm0DlO6gzKd4PwG4sS1C+/e3UevFHRDPwT0k7AvsAD0TEP2sFKel9wAHAlaXifsD7KZLFJwNX1Fnt2gL8HTi09iuoaUrpd1gIXJ/lTSx73np2ofh975U0myLJu3l1o4iYEBENEdEwYMCADoRmZmZmZmZmZmadpbd/A7TiOuDHwJ7AhqXyt1g+Sdy/dP1q5ULSFsBJwPCIeEHSxKq2b+TfpaXryn0/4HBgADAsIhbnVu3+ETFf0jDgU8APJN0G/Ag4H2iIiCclnV41V7XrgXOBxoh4qZQ/rLdtHmBxREReL2H5fydRo33N+LPuImAs8G/Axa3MuR8wKyL+USp7CrgqY7lf0lJgI0rb+NOi7H+PpOcjorLKtPz7Vb+j6t+h/Bu19f+FgD9FxJg22pmZmZmZmZmZWTfr9StA08XAmRHRVFXeDAwFkDQU2KJO/3UpEqIL83uZ+3Vw/vWA5zN5OJJcTZjb1BdFxCUUCdqhLEvkLcjvTh7S2sB5uNO3KLZ5l02n2Kq/kYrDh8YAd7YR570Uq0mhSHq2Gn+6mmIr/3Dg1lbGXu77q+kaihWuSPoI8D5gQa3OuZJzX4qVqJ/M4mZgWF63+p7a4WVgnbyeBuwmaauMbc2Mz8zMzMzMzMzMVjFeAQpExFMU37esNhk4Irc5zwDm1+k/R9IDwIPAYxSJwo64FLheUiMwG3gky7cHzs2Vj4uB4yLiRUkXUmzVbs64WhURk2qUPSvpFGAKxYrGmyLi2jaG+gbwhzzYaHI74ici3syDg16MiCW1BpW0JvAJ4D+qqi4GLpY0j2Jb/pGllam1nvNxSQcAN0n6LEXS+AoVp8P/uY1na8sE4GZJz+Z3QMcCl0laPetPpc6/DzMzMzMzMzMz6z5qJZ9kttLy8KNZwOcj4q/dHU93aWhoiMbGxu4Ow8zMzMzMzMysx5A0Mw8lb5W3wFuXkbQt8Dfgjt6c/DQzMzMzMzMzs+7jLfDWZSLiIWDL7o7DzMzMzMzMzMx6L68ANTMzMzMzMzMzsx5rlU2ASgpJvy/d95PUIumG7oyrM0g6PZ9vq1LZiVnW5ncL2jnHK500zhJJsyXNk3S9pPU72P90SSd1RiytzDFW0ial+4ty+/3KjntyPnvl+ZdI2iDr1pf0R0mPSHpY0q4rO5+ZmZmZmZmZmXW+VTYBCrwKDJK0Rt5/Ani6IwOosKo+YxMwunR/CPBQN8XSmtciYkhEDAL+BXy1uwOqYSzwdgI0Ir6S2+9XSkScm88+BDgFuDMi/pXV5wG3RMRHgcHAwys7n5mZmZmZmZmZdb5VNTlYcTPw6bweA1xWqaheWZgr9Abmfw9LOp/i9PHNJF0gqVHSg5LOKPVplnSOpPuyfqikWyU9KunYbLO2pDskzZLUJOnALF9L0o2S5uTch2X5aZJmZNkESarzbNcAlbG2BBYCLaXYxuR88ySNK5W/IunsnHeapI2zfIt8jhmSziq1rxf/WZK+UWp3tqTj2/g97gM2LfU5OeebW/VevyPpL5JuB7YplX9Y0i2SZkq6W9JHs3xi/kZTJD0maQ9JF+fvOLHq2X+Sz3KHpAGSDgEagEtzpeYakqZWVtJ29D224u1/f5LWBUYAvwaIiDcj4sU2+puZmZmZmZmZWTdY1ROgk4DRkvoDOwDT29lvG+B3EbFjRDwBfCciGnKMPSTtUGr7ZETsCtwNTKRYibkLcGbWvw4cHBFDgZHATzKpuS/wTEQMztWRt2T78RExPMvWAPavE+NLwJOSBlEk1y6vVOR27nHAXsAQYLikg7J6LWBaRAwG7gKOzvLzgAsiYjjwXGmeevH/Gjgy5+tDsRr10novVFJfYG/gurzfB9ga2CljHCZphKRhOdaOwGeB4aVhJgBfj4hhwEnA+aW69+fznghcD/wU2A74/+zde7znY73//8eTmYxTKoaN1BBRBmNmjbKLEttWKZQymg7S5qtfRf2+7JKdUEhqq7ZNIU2FRowzOSTnzZg1xzUOsWOJkoYYxjiMmef3j/f1Me/5+HzWmmXWsoZ53m+3ua3P53pf1/t6vd9r+efldV3XVpJG1Z59WnmWG4Bv2z4f6ATGl2rNZ5bxPbZ69tWoft+TStMmVMnqX0iarmrJ/eotxh1YEuudc+bMab4cERERERERERGvgOU6AWp7FjCCKkF4RR+GPmD7ttr3T0qaBkynSqrV94e8pPzsAibbfsr2HOBZVftdCjhO0izg91QVkOuV/rtIOkHSDrbnlvvsJGmypC6qxNuWPcQ5kSpZuCdwYa19LHC97Tm2X6BKTO5Yrj0PNPZBnUr1fgDew+IK2Rf3Tm0Xv+1u4DFJ2wK7AtNtP9YixlUlzQAeA94EXFPad22Mo6q03YIqIboDcKHt+bafZHHCdA3gn4Hzyv1+Bqxfm+dS26Z6r4/Y7rK9CLij9oyLWJwoPgt4b4t4617Oe2zlI8AtteXvQ4DRVAnnbam2a/hG8yDbp9nusN0xfPjwXkKNiIiIiIiIiIiBsFwnQItLgB9QW/5evMCS8Q+rfX668UHSxlTVhjvb3hq4vKnvc+XnotrnxvchwHhgODCm7AX5CDDM9j3AGKqE3fFl6fswqqrGvW1vBZzeNFezS4HPAH8uycIXw+5hzIKSKARYWGJscIv+LeMv186g2j/z88CZbeZ7pox7K/A6Fu8BKuD4xh6Ztje1/fMe4lgJeKLWf5Ttd9Su9/Z7aKXVPHUv9z02G8eSf38PAQ/ZblQkn0+VEI2IiIiIiIiIiOXMqyEBeiZwjO2upvZuStJJ0mhg4zbjX0+VEJ1b9nn8YB/nXwv4u+0FknaiSgQ2llfPt30WVYJ2NIsTi4+Wise9e7pxWa79deDYpkuTqZbqr1OWnu9LteS7J7ew+FCl8b3FX1xItbR7LHBVL7HOBQ4GDpU0tPTfvzwnkjaUtC7VcvK9yl6ca1JVT1ISvPdL+kTpL0nb9PJMzVZi8Tv9FHBz+fwUsGaL/i/nPS5B0lrA+4CLG222/0a1fUFjf9OdWT4PsIqIiIiIiIiIWOH1VPW2XLD9ENX+ls0mAZ8ty6mnAPe0GT9T0nSqpdT3USUK++Js4FJJncAM4O7SvhVwoqRFwALgi7afkHQ6VVVod4mrR7Yntmh7WNLhwHVUVYxX2L74JYOXdAhwTjnYaFKtvV382H5e0nVUlZkLlyLW6ZJmAuNs/1rSO4Bbqy1FmQd82vY0SeeWuR6g2lu1YTxwqqT/AIZSbQEws7d5a54GtpQ0lerQqH1K+wTgp5KeAbavxfty3mOzvYCrbT/d1P4VqoOXXkf1d/X5Pt43IiIiIiIiIiJeAVq8CjhWNOXwo2nAJ2zfO9jx9EbSPNtrDHYcL0dHR4c7OzsHO4yIiIiIiIiIiNcMSVPLwec9ejUsgY8BIOmdwP8C174akp8REREREREREREvx3K/BD4Ghu07gU0GO46+eLVWfwJ0/WUuI75x+WCHERHRZ93f+/BghxAREREREbFMUgEaERERERERERERr1krbAJUUrekm5raZkiaPVgx9RdJ+0mypJ1rbXuVth5Ppu/DHN2S1umH++wvqUvSLEmzJe1R2o+RtMsy3HdeP8R2bvmbmFGed0bt2taSbpV0R4l/2LLOFxERERERERER/W9FXwK/pqSNbD9YTjTvM0krL80J6oOgC9gXuLZ8H0ffTlwfcJLeDBwBjLY9V9IawHAA20cOanBVDI1T5pH0Q6qT55E0BDgL+IztmZLWBhYMTpQREREREREREdGTFbYCtPgt0Ehy7Qv8pnGhVFGeXPt+maT3l8/zSoXiZGB7SUdKmlIqGE+TpNLvekknSbpR0l2Sxkq6QNK9kr5bu/dFkqaWasIDS9vKkiaUe3ZJ+lppP6DMNVPSJEmrtXm2m4DtJA0ticVNgXoF486Sppd7nylpldLeLeloSdPKtS1K+9qSri5jfgaol/i/IOmkWp8DJP1nU4zrAk8B8wBsz7N9f+k/oVGt2kNMwyVdU9p/JumBVlWpkg4r72yWpKNL2+qSLi/vcbakfZrH1cYL+CSL/z52BWbZnlnifmw5TYJHRERERERERKzwVvQE6PnAx8rnjwCXLuW41YHZtt9l+2bgZNtjbY8EVgV2r/V93vaOwE+Bi4EvASOB/UrlIMD+tscAHcDBpX0UsKHtkba3An5R+l5Q5toGuAv4QpsYDfwe+FdgD+CSxoWyXHsCsE+59xDgi7Wxj9oeDZwKHFravg3cbHvbcq+31Pq3in8i8FFJQ0ufz9eeoWEm8Ahwv6RfSPpIm2fpKaY/lPYLm2JqPOuuwGbAdlTvdIykHYHdgL/a3qb83q7sYe4dgEds31u+vx2wpKtK8vXfWw2SdKCkTkmdC+fP7eH2ERERERERERExUFb0BOg/gMcljaNKJs5fynELgUm17ztJmiypC/gAsGXtWiPx2AXcYfth288B9wEblWsHS5oJ3FbaNivXN5H0X5J2A54sfUdKuqnMNb5prmYTqZa+j6NW3QpsDtxv+57y/ZfAjrXrF5SfU4ER5fOOVMu+sX058Hit/0vit/008Adg91KxOdR2Vz24UjW5G7A3cA9wkqSj2jxLq5jeW54R21c2xdSwa/k3HZgGbEH1fruAXSSdIGkH2z1lKJeoDqZKGL+X6v2/F9hLtf1Wa893mu0O2x0rr7ZWD7ePiIiIiIiIiIiBsqInQAHOBf6bJRNcAC+w5PupH3LzbGPJc6mmPAXYu1RTnt7U97nyc1Htc+P7kLKsfhdg+1LVOR0YZvtxYBvgeqqq0TPKuAnAl8tcRzfNtQTbt1NVm65TS3ZCbfl6G404F7LkPrFu7tgu/nL5DGA/Wld/NmK07dttH0+VqP14H2Lq7TkafY63Par829T2z8v7GEOVCD1eUss9R8t+nx+j+jtpeAi4wfajtucDVwCjlyKWiIiIiIiIiIh4hSUBWi2d/j5wVVN7NzBK0kqSNqJaQt1KI9n3aNlrs6+nrK8FPG57fqmUfDdA2ctyJduTgG+xOMG2JvBwWVo+finufzjwzaa2u4ERkjYt3z8D3NDLfW5szCfpg8Abe4ofwPZkqorQT/HSBDOSNpBUTxyOAh5YimdquJlqb87GUvc3tuhzFbB/+d0gaUNJ60raAJhv+yzgB7RPYO4C3G37oaZ7bi1ptZIgfR9wZx/ijoiIiIiIiGaDx3QAACAASURBVIiIV8iKfgo8tp8CTgAoZxc13ALcT1UhOJtq+XSr8U9IOr306wam9DGEK4GDJM0C/ki1jBxgQ+AXkhpJ6sPLz28Bk6kShV1UCdG2bP+uRduzkj4PnFcSeFOo9ijtydHAbyRNo0qW/rmX+Bt+C4wqFa3NhgI/KMnIZ4E5wEG9xNEqpn1KTA9THar0IttXS3oHcGv5/c4DPk11KNSJkhZRneBe3wO1rnn7AGw/Xg50mkJVFXtF2RYgIiIiIiIiIiKWM7Jfsqo5ot9Iugw4yfa1A3DvVYCFtl+QtD1wqu1R/T1Pf+jo6HBnZ+dghxERERERERER8Zohaartjt76rfAVoDEwJL0BuB2YORDJz+ItwG9LlezzwAEDNE9ERERERERERLxKJQEaA8L2E8DbB3iOe4FtB3KOiIiIiIiIiIh4dcshSCswSQslzaj9GyGpQ9JPyvX9JJ1cPu8p6Z21sddL6rXEuIe5t5N0o6Q/Srpb0hmSVlv2p+p13qMkHdrHMW+RNK8xTtIwSbdLminpDklHD0y0ERERERERERGxrFIBumJ7psWemd1Aq80q9wQuox9OO5e0HnAeMM72rapOJ/o41YFO85f1/gPgJKB+mNRzwAdsz5M0FLhZ0u9sNx8AFRERERERERERgywVoLEESe8vBxfV2/4Z+CjVqekzJL2tXPpEqYS8R9IOpe9NkkbVxt4iaeumab4E/NL2rQCunG/7kVIZ+j+Sppefm5f7bFnmmiFplqTNSsXq7Npch0o6qnw+QNKUUqU5qVV1qaSDJd1Z7jexzfvYE7gPuKPRVuKdV74OLf9ymlhERERERERExHIoCdAV26q15e8Xtutk+3+AS4DDbI+y/adyaYjt7YCvAt8ubWcA+wFIejuwiu1ZTbccCUxtM93dwI62twWOBI4r7QcBPy4Vqx3AQ7082wW2x9reBrgL+EKLPt8AtrW9dbn/EiStDnwdeMkSd0krS5oB/B24xvbkXuKJiIiIiIiIiIhBkCXwK7ZWS+D74oLycyowonw+D/iWpMOA/YEJfbznWsAvJW1GVVU5tLTfChwh6c1Uyc17q5XzbY2U9F3gDcAawFUt+swCzpZ0EXBRi+tHAyeVpe5LXLC9EBhVTru/UNJI27PrfSQdCBwI8Ja3vKWnWCMiIiIiIiIiYoCkAjSWxXPl50JKMt32fOAaYA/gk8A5LcbdAYxpc8/vANfZHgl8BBhW7nsO1TL8Z4CrJH0AeIEl/4aH1T5PAL5seyuqRGb9WsOHgf8usUyV1Pw/BN4FfF9SN1WV6zclfbneoZx2fz2wW/PNbZ9mu8N2x/Dhw9s8bkREREREREREDKQkQGNpPUV1SNHSOAP4CTDF9j9aXD8Z+JykdzUaJH1a0j9RVYD+pTTvV7u+CXCf7Z9QLcffGngEWFfS2pJWAXavzbEm8HA5pGh8cwCSVgI2sn0d8O8srhR9ke0dbI+wPQL4EXCc7ZMlDS+Vn0haFdiFaul+REREREREREQsZ5IAjaU1ETisHE70tp462p4KPAn8os31R4BxwA8k/VHSXcAOZcz3geMl3QKsXBu2DzC77Lu5BfAr2wuAY4DJVCfU15OQ3yrt19A6ObkycJakLmA61VL3J3p6rpr1geskzQKmUO0BelkvYyIiIiIiIiIiYhDIzuHV0b8kbUC1LHwL24sGOZzlQkdHhzs7Owc7jIiIiIiIiIiI1wxJU2139NYvFaDRryR9lqry8ogkPyMiIiIiIiIiYrDlFPjoV7Z/BfxqsOOIiIiIiIiIiIiAVIBGRERERERERETEa9gKmwCV1C3ppqa2GZJmD1ZM/UXSfpIsaeda216lbe9+mqNb0jr9cJ/9JXVJmiVptqQ9SvsxknZZhvvO64fYzi1/EzPK884o7SMkPVO79tNlnSsiIiIiIiIiIgbGir4Efk1JG9l+UNI7Xs4NJK1se2F/B9YPuoB9gWvL93HAzMEL56UkvRk4Ahhte66kNYDhALaPHNTgqhj2aXyW9ENgbu3yn2yPeuWjioiIiIiIiIiIvlhhK0CL3wKNJNe+wG8aF0oV5cm175dJen/5PK9UKE4Gtpd0pKQppYLxNEkq/a6XdJKkGyXdJWmspAsk3Svpu7V7XyRpqqQ7JB1Y2laWNKHcs0vS10r7AWWumZImSVqtzbPdBGwnaWhJLG4KzKjNubOk6eXeZ0papbR3Szpa0rRybYvSvrakq8uYnwHqJf4vSDqp1ucASf/ZFOO6wFPAPADb82zfX/pPaFSr9hDTcEnXlPafSXqgVVWqpMPKO5sl6ejStrqky8t7nC1pn+ZxtfECPknt7yMiIiIiIiIiIl4dVvQE6PnAx8rnjwCXLuW41YHZtt9l+2bgZNtjbY8EVgV2r/V93vaOwE+Bi4EvASOB/SStXfrsb3sM0AEcXNpHARvaHml7K+AXpe8FZa5tgLuAL7SJ0cDvgX8F9gAuaVyQNAyYAOxT7j0E+GJt7KO2RwOnAoeWtm8DN9vettzrLbX+reKfCHxU0tDS5/O1Z2iYCTwC3C/pF5I+0uZZeorpD6X9wqaYGs+6K7AZsB3VOx0jaUdgN+Cvtrcpv7cre5h7B+AR2/fW2jYuyeAbJO3Qw9iIiIiIiIiIiBhEK3oC9B/A45LGUSUT5y/luIXApNr3nSRNltQFfADYsnatkXjsAu6w/bDt54D7gI3KtYMlzQRuK22bleubSPovSbsBT5a+IyXdVOYa3zRXs4lUS9/HsWT14ubA/bbvKd9/CexYu35B+TkVGFE+7wicBWD7cuDxWv+XxG/7aeAPwO6lYnOo7a56cGXrgN2AvYF7gJMkHdXmWVrF9N7yjNi+simmhl3Lv+nANGALqvfbBewi6QRJO9ie22JswxLVwcDDwFtKMvj/B86R9PrmQZIOlNQpqXPOnDk93D4iIiIiIiIiIgbKip4ABTgX+G9eurz5BZZ8P8Nqn59t7PtZqilPAfYu1ZSnN/V9rvxcVPvc+D6kLKvfBdi+VHVOB4bZfhzYBrieqmr0jDJuAvDlMtfRTXMtwfbtVNWm69SSnVBbvt5GI86FLLlPrJs7tou/XD4D2I/W1Z+NGG37dtvHUyVqP96HmHp7jkaf422PKv82tf3z8j7GUCVCj5fUcs9RSUOoqoTPrcX8nO3HyuepwJ+At7d4ttNsd9juGD58+FKEGhERERERERER/S0J0Grp9PeBq5rau4FRklaStBHVEupWGsm+R8tem309ZX0t4HHb80ul5LsByl6WK9meBHwLGF36rwk8XJaWj1+K+x8OfLOp7W5ghKRNy/fPADf0cp8bG/NJ+iDwxp7iB7A9maoi9FO02D9T0gaSRteaRgEPLMUzNdxMtTdnY6n7G1v0uQrYv/xukLShpHUlbQDMt30W8AMWv99muwB3236oFvdwSSuXz5uwuGI3IiIiIiIiIiKWMyv6KfDYfgo4AaA66+ZFtwD3U1UIzqZaPt1q/BOSTi/9uoEpfQzhSuAgSbOAP1ItIwfYEPiFpEaS+vDy81vAZKpEYRdVQrQt279r0faspM8D55UKxylUe5T25GjgN5KmUSVL/9xL/A2/BUaVitZmQ4EflGTks8Ac4KBe4mgV0z4lpoepDlV6ke2rJb0DuLX8fucBn6Y6FOpESYuABSy5B2pd8/YBUG0HcIykF6gqUg+y/Y8+xB0REREREREREa8Q2S9Z1RzRbyRdBpxk+9oBuPcqwELbL0jaHjjV9qj+nqc/dHR0uLOzc7DDiIiIiIiIiIh4zZA01XZHb/1W+ArQGBiS3gDcDswciORn8Rbgt6VK9nnggAGaJyIiIiIiIiIiXqWSAI0BYfsJWhwM1M9z3AtsO5BzRERERERERETEq1sSoBGvgK6/zGXENy4f7DBeNbq/9+HBDiEiIiIiIiIiXiOW21PgJVnSr2vfh0iaU/aUfFWTdFR5vk1rbV8rbb3uW7CUc8zrp/sslDRD0mxJl5al7X0Zf5SkQ/sjlh7m2K8cpNT4foakd/bDfQ8rz954/oWS3lSudUvqKteyuWdERERERERExHJquU2AAk8DIyWtWr7/C/CXvtxAleX1GbuoThhv2Bu4c5Bi6ckztkfZHgn8A/jSYAfUwn7AiwlQ2/9me5nfpe0Ty7OPAg4Hbmg67X2ncr1fktYREREREREREdH/ltfkYMPvgMZa2H2B3zQuNFcWlgq9EeXfXZJOAaYBG0k6VVKnpDskHV0b0y3pOEm3luujJV0l6U+SDip91pB0raRppeJvj9K+uqTLJc0sc+9T2o+UNKW0nSZJbZ7tIqBxr02AucCcWmz7lvlmSzqh1j5P0rFl3tskrVfaNy7PMUXSd2r928X/HUmH1PodK+ngXn4ftwIb1sYcVuab1fRej5D0R0m/Bzavtb9N0pWSpkq6SdIWpX1C+R1dJ+k+Se+TdGb5PU5oevYflme5VtJwSXsDHcDZpRpzVUnXNypp+/oee7DE319ERERERERERLw6LO8J0InAOEnDgK2ByUs5bnPgV7a3tf0AcESp0tsaeJ+krWt9H7S9PXATMIGqEvPdwDHl+rPAXrZHAzsBPyxJzd2Av9replRHXln6n2x7bGlbFdi9TYxPAg9KGkmVXDu3caEs5z4B+AAwChgrac9yeXXgNtvbADey+OTzHwOn2h4L/K02T7v4fw58rsy3ElU16tntXqiklYGdgUvK912BzYDtSoxjJO0oaUy517bAx4CxtducBnzF9hjgUOCU2rU3luf9GnApcBKwJbCVpFG1Z59WnuUG4Nu2zwc6gfGlGvOZZXyPrZ59Narf96Ras4GrSzL3wHZjIyIiIiIiIiJicC3XCVDbs4ARVAnCK/ow9AHbt9W+f1LSNGA6VVKtvj/kJeVnFzDZ9lO25wDPqtrvUsBxkmYBv6eqgFyv9N9F0gmSdrA9t9xnJ0mTJXVRJd627CHOiVTJwj2BC2vtY4Hrbc+x/QJVYnLHcu15oLEP6lSq9wPwHhZXKL64d2q7+G13A49J2hbYFZhu+7EWMa4qaQbwGPAm4JrSvmtjHFWl7RZUCdEdgAttz7f9JIsTpmsA/wycV+73M2D92jyX2jbVe33EdpftRcAdtWdcxOJE8VnAe1vEW/dy3mMrHwFuaVr+/p6SiP0g8CVJOzYPknRgqSzuXDh/bvPliIiIiIiIiIh4BSzXCdDiEuAHvHT58QssGf+w2uenGx8kbUxVbbiz7a2By5v6Pld+Lqp9bnwfAowHhgNjyl6QjwDDbN8DjKFK2B1flr4Po6pq3Nv2VsDpTXM1uxT4DPDnkix8MewexiwoiUKAhSXGBrfo3zL+cu0Mqv0zPw+c2Wa+Z8q4twKvY/EeoAKOb+yRaXtT2z/vIY6VgCdq/UfZfkftem+/h1ZazVP3ct9js3E0/f3Z/mv5+Xeq5PV2LwnOPs12h+2OlVdbq5dQIyIiIiIiIiJiILwaEqBnAsfY7mpq7wZGA0gaDWzcZvzrqRKic8s+jx/s4/xrAX+3vUDSTlSJwMby6vm2z6JK0I5mcWLx0VLxuHdPNy7Ltb8OHNt0aTLVUv11ytLzfamWfPfkFhYfqjS+t/iLC6mWdo8Fruol1rnAwcChkoaW/vuX50TShpLWpVpOvlfZi3NNqupJSoL3fkmfKP0laZtenqnZSix+p58Cbi6fnwLWbNH/5bzHJUhaC3gfcHGtbfXybEhanaoSdnZf7hsREREREREREa+Mnqrelgu2H6La37LZJOCzZTn1FOCeNuNnSppOtZT6PqpEYV+cDVwqqROYAdxd2rcCTpS0CFgAfNH2E5JOp6oK7S5x9cj2xBZtD0s6HLiOqorxCtsXv2Twkg4BzikHG9X3qmwXP7afl3QdVWXmwqWIdbqkmcA427+W9A7g1mpLUeYBn7Y9TdK5Za4HqPZWbRgPnCrpP4ChVFsAzOxt3pqngS0lTaU6NGqf0j4B+KmkZ4Dta/G+nPfYbC/gattP19rWAy4szz0EOMf2la0GR0RERERERETE4NLiVcCxoimHH00DPmH73sGOpzeS5tleY7DjeDk6Ojrc2dk52GFERERERERERLxmSJpaDj7v0athCXwMAEnvBP4XuPbVkPyMiIiIiIiIiIh4OZb7JfAxMGzfCWwy2HH0xau1+jMiIiIiIiIiIgZPKkAjIiIiIiIiIiLiNWuFToBK6pZ0U1PbDEmv+hO9Je0nyZJ2rrXtVdp6PJ2+D3N0S1pnGe+xZnnnjX+PSvpRubafpDm1a//W5h7zap8/JOleSW9ZlrjKvQ6S9NlaLBss6z0jIiIiIiIiIuKVlSXwsKakjWw/WE417zNJKy/NKeqDoAvYF7i2fB9H305dH3C2nwJGNb6XE94vqHU51/aXl+ZeJdn7X8Cutv/cD7H9tPZ1P2A28NdlvW9ERERERERERLxyVugK0OK3wD7l877AbxoXStXfybXvl0l6f/k8T9IxkiYD20s6UtIUSbMlnSZJpd/1kk6SdKOkuySNlXRBqVL8bu3eF0maKukOSQeWtpUlTSj37JL0tdJ+QJlrpqRJklZr82w3AdtJGippDWBTYEZtzp0lTS/3PlPSKqW9W9LRkqaVa1uU9rUlXV3G/AxQL/F/QdJJtT4HSPrPdr8ISZsB65a4+0TSDsDpwIdt/6m0TahXuzYqRSW9X9INkn4r6R5J35M0XtLt5XnfVvodJenQco8O4OxSibqqpDHlHlMlXSVp/b7GHBERERERERERAy8JUDgf+Fj5/BHg0qUctzow2/a7bN8MnGx7rO2RwKrA7rW+z9veEfgpcDHwJWAksJ+ktUuf/W2PoUq0HVzaRwEb2h5peyvgF6XvBWWubYC7gC+0idHA74F/BfYALmlckDQMmADsU+49BPhibeyjtkcDpwKHlrZvAzfb3rbcq77MvFX8E4GPShpa+ny+9gyt7EtV8ela28clzZJ0vqSN2oxbheq97mn77h7uX7cNcAiwFfAZ4O22twPOAL5S72j7fKATGG97FPACVaXp3uWZzwSObZ5A0oGSOiV1zpkzZynDioiIiIiIiIiI/pQEKPwDeFzSOKpk4vylHLcQmFT7vpOkyZK6gA8AW9auNRKPXcAdth+2/RxwH9BI6h0saSZwW2nbrFzfRNJ/SdoNeLL0HSnppjLX+Ka5mk2kWvo+jlp1K7A5cL/te8r3XwI71q43lqFPBUaUzzsCZwHYvhx4vNb/JfHbfhr4A7B7qSIdarurh1ibY7wUGGF7a6pE7i/bjFsA/A/tE8GtTKn9Hv4EXF3au1j8vO1sTpXAvkbSDOA/gDc3d7J9mu0O2x3Dhw/vQ2gREREREREREdFfkgCtnAv8N0sm36Cq9Ku/o2G1z8829v0s1ZSnUFUEbkW1FLve97nyc1Htc+P7kLKsfhdg+1LVOR0YZvtxqkrF66mqRs8o4yYAXy5zHd001xJs306VrFunluyE2vL1NhpxLmTJvWLd3LFd/OXyGVT7Z/ZY/SlpG2CI7am12B8rCUqo3umYNsMXAZ8Exkr6Zq39xd9f2ZLgdS2erzG+/jvqbW9cUSWyR5V/W9netZcxERERERERERExCJIArVwIfB+4qqm9GxglaaWy/Hq7NuMbyb5Hy16bfT1lfS3gcdvzS6XkuwFUnbC+ku1JwLeA0aX/msDDZWn5+KW4/+HAN5va7gZGSNq0fP8McEMv97mxMZ+kDwJv7Cl+ANuTqSpCP8VLE8x1+zZfb9pX86NUFbot2Z5Pte3AeEmNStBuFidN9wCGthi6tJ6ieu8AfwSGS9q+xDlUUk9VuBERERERERERMUhyCjwvnkR+AkA5u6jhFuB+qmXRs4FpbcY/Ien00q8bmNLHEK4EDpI0iyq5dltp3xD4haRGovrw8vNbwGTggTLnmvTA9u9atD0r6fPAeZKGlJh/+pLBSzoa+I2kaVTJ0sZJ6+3ib/gtMKpUtLbzSeBDTW0HS/ooVSXnP6gqSduy/Y+yVcCNkh6lqhq9WNLtwLXA0708X08mAD+V9AywPVWS+yeS1qL67+hHwB3LcP+IiIiIiIiIiBgAWvK8mYj+J+ky4CTb1w52LIOlo6PDnZ2dgx1GRERERERERMRrhqSptjt665cl8DFgJL1B0j3AMyty8jMiIiIiIiIiIgZPlsDHgLH9BPD2wY5jedD1l7mM+Mblgx3Gq0b39z482CFERERERERExGtEKkAjIiIiIiIiIiLiNSsJ0BWYpIWSZtT+jZDUIekn5fp+kk4un/eU9M7a2Osl9brHQg9zbyfpRkl/lHS3pDMkrbbsT9XrvEdJOrSPY94iaV5jnKSNJF0n6S5Jd0g6ZGCijYiIiIiIiIiIZZUl8Cu2Z2yPamrrBlqd1rMncBlw57JOKmk94DxgnO1bJQn4ONVp9vOX9f4D4CTgd7XvLwD/1/Y0SWsCUyVdY3uZ301ERERERERERPSvVIDGEiS9v5zaXm/7Z+CjwImlUvRt5dInJN0u6R5JO5S+N0kaVRt7i6Stm6b5EvBL27cCuHK+7UdKZej/SJpefm5e7rNlmWuGpFmSNisVq7Nrcx0q6ajy+QBJUyTNlDSpVXWppIMl3VnuN7HN+9gTuA+4o9Fm+2Hb08rnp4C7gA17f7sREREREREREfFKSwJ0xbZqbfn7he062f4f4BLgMNujbP+pXBpiezvgq8C3S9sZwH4Akt4OrGJ7VtMtRwJT20x3N7Cj7W2BI4HjSvtBwI9LxWoH8FAvz3aB7bG2t6FKUH6hRZ9vANva3rrcfwmSVge+DhzdbhJJI4Btgcktrh0oqVNS58L5c3sJNyIiIiIiIiIiBkKWwK/YWi2B74sLys+pwIjy+TzgW5IOA/YHJvTxnmsBv5S0GWBgaGm/FThC0pupkpv3Vivn2xop6bvAG4A1gKta9JkFnC3pIuCiFtePBk6yPa/VXJLWACYBX7X9ZPN126cBpwGssv5m7inYiIiIiIiIiIgYGKkAjWXxXPm5kJJMtz0fuAbYA/gkcE6LcXcAY9rc8zvAdbZHAh8BhpX7nkO1DP8Z4CpJH6Dai7P+Nzys9nkC8GXbW1ElMuvXGj4M/HeJZaqk5v8h8C7g+5K6qapcvynpywCShlIlP8+2fQEREREREREREbFcSgI0ltZTVIcULY0zgJ8AU2z/o8X1k4HPSXpXo0HSpyX9E1UF6F9K836165sA99n+CdVy/K2BR4B1Ja0taRVg99ocawIPl0Tl+OYAJK0EbGT7OuDfWVwp+iLbO9geYXsE8CPgONsnl0Obfg7cZfs/l/KdRERERERERETEIEgCNJbWROCwcjjR23rqaHsq8CTwizbXHwHGAT+Q9EdJdwE7lDHfB46XdAuwcm3YPsBsSTOALYBf2V4AHEO1/+ZlVPuHNnyrtF/T1N6wMnCWpC5gOtVS9yd6eq6a9wCfAT5Q20P1Q0s5NiIiIiIiIiIiXkGyszVh9C9JGwDXA1vYXjTI4SwXOjo63NnZOdhhRERERERERES8Zkiaarujt36pAI1+JemzVJWXRyT5GRERERERERERgy0VoBGvgFXW38zrf+5Hgx3Gq0b39z482CFERERERERExHIuFaC9kGRJv659HyJpjqTLBjOu/iDpqPJ8m9bavlbaev2jWMo55vXTfY6QdIekWWUvzXeV9jMkvfNl3nOEpNn9ENtNtT0+/yrpoqbrYyUtlLT3ss4VEREREREREREDY8hgBzCIngZGSlrV9jPAv7D49PGlUk4D13K61LuL6qCh75bvewN3Dl44LyVpe6qT20fbfk7SOsDrAGz/26AGV8WwQ+OzpEnAxbXvKwMnAFcNQmgREREREREREbGUVtgK0OJ3QGOt7b7AbxoXShXlobXvs0tl4QhJd0k6BZgGbCTpVEmdpZLx6NqYbknHSbq1XB8t6SpJf5J0UOmzhqRrJU2T1CVpj9K+uqTLJc0sc+9T2o+UNKW0nVaSsK1cBDTutQkwF5hTi23fMt9sSSfU2udJOrbMe5uk9Ur7xuU5pkj6Tq1/u/i/I+mQWr9jJR3cFOP6wKO2nwOw/ajtv5b+1zeqVXuI6W3l+xRJx7SqSpW0sqQTS59Zkv5PaV9f0o2lunO2pB2ax9busSbwgfJOG74CTAL+3m5cREREREREREQMvhU9AToRGCdpGLA11eE9S2Nz4Fe2t7X9ANWBPx3lHu+TtHWt74O2twduAiZQVWK+GzimXH8W2Mv2aGAn4Iclqbkb8Ffb29geCVxZ+p9se2xpW5WqgrKVJ4EHJY2kSu6e27hQTmk/gSqpNwoYK2nPcnl14Dbb2wA3AgeU9h8Dp9oeC/ytNk+7+H8OfK7MtxJVNerZTTFeTZVAvkfSKZLe1+ZZeorpxyWmv7YZ+wVgbukzFjhA0sbAp4CrbI8CtgFmtBkPsBdwre0ny/NsWNp+2sOYiIiIiIiIiIhYDqzQCVDbs4ARVAnCK/ow9AHbt9W+f1LSNGA6sCVQ37vykvKzC5hs+ynbc4BnJb0BEHCcpFnA74ENgfVK/10knSBpB9tzy312kjRZUhdVAnPLHuKcSJV43BO4sNY+Frje9hzbL1AlJncs154HGvugTqV6PwDvYXGF7It7p7aL33Y38JikbYFdgem2H6sHZ3seMAY4kKo69VxJ+7V4jnYxbQ+cVz6f0+Yd7Ap8VtIMqgT32sBmwBTg85KOAray/VSb8dBUHQz8CPi67YU9jEHSgaXyt3Ph/Lk9dY2IiIiIiIiIiAGyIu8B2nAJ8APg/VTJsYYXWDJBPKz2+enGh1JNeCgw1vbjkiY09X2u/FxU+9z4PgQYDwwHxtheIKkbGGb7HkljgA8Bx0u6Gvg+cArQYfvBkryrz9XsUuBEoNP2k7XV8u2WzQMssO3yeSFL/o24Rf+W8ZdrZwD7Af8EnNlqspJEvB64viR1P0dVKbu0MfVGwFdsv2SvTkk7Um2B8GtJJ9r+VYs+awPbUVV8aYauxwAAIABJREFUNnQAE8v7XAf4kKQXbC9xSJLt04DToDoFvg8xR0REREREREREP1mhK0CLM4FjbHc1tXcDowEkjQY2bjP+9VQJ0bllb8oP9nH+tYC/l+ThTsBby5wbAPNtn0WVoB3N4sTio5LWoFpO31Y53OnrwLFNlyZTLdVfR9VhPvsCN/QS5y1U1aRQJT17jL+4kGop/1haHBYkaXNJm9WaRgEP9BJH3W3Ax8vncW36XAV8UdLQMufby/6qby1xn061XH90m/GfAC6z/WyjwfbGtkfYHgGcD/x/zcnPiIiIiIiIiIhYPqzwFaC2H6LaS7LZJBYvnZ4C3NNm/ExJ04E7gPuoEoV9cTZwqaROqn0o7y7tWwEnSloELAC+aPsJSadTLY/vLnH1yPbEFm0PSzocuI6qQvIK2xe/ZPCSDgHOKQcbTVqK+LH9vKTrgCfaLBdfA/ivshXAC8D/Ui2HX1pfBc6S9H+By6kOemp2BtWS+Wllb9I5VFsCvB84TNICYB7w2TZzjAO+14eYIiIiIiIiIiJiOaLFK4sj+lc5/Gga8Anb9w7A/VcDnrFtSeOAfW3v0d/z9IdV1t/M63/uR4MdxqtG9/c+PNghRERERERERMRyTtLUcjB5j1b4CtAYGJLeSXVw0YUDkfwsxgAnl8rOJ4D9B2ieZbbVhmvRmaReRERERERERMQrLgnQGBC27wQ2GeA5bgK2Gcg5IiIiIiIiIiLi1S2HIEVERERERERERMRr1gqdAJVkSb+ufR8iaY6kywYzrv4g6ajyfJvW2r5W2nrdG2Ep55jXD/fYXNKM2r8nJX21qc+hJe51Wox/f/33Jem7kq6StEo/xHZGWcqPpG8u6/0iIiIiIiIiIuKVt0InQIGngZGSVi3f/wX4S19uoMry+h67qE4xb9gbuHOQYmnJ9h9tj7I9impPz/nAhY3rkjai+r38ubd7SToCeA+wp+3n+iG2fytL+QGSAI2IiIiIiIiIeBVaXhN3r6TfAY3TafYFftO4UKooD619ny1pRPl3l6RTqE4530jSqZI6Jd0h6ejamG5Jx0m6tVwfXSoU/yTpoNJnDUnXSpomqUvSHqV9dUmXS5pZ5t6ntB8paUppO60cAtTKRUDjXpsAc4E5tdj2LfPNlnRCrX2epGPLvLdJWq+0b1yeY4qk79T6t4v/O5IOqfU7VtLBPfwudgb+ZPuBWttJwL8D7mEckv4v8CHgI7afqb37dcrnDknXl89HSfqlpKtLn49J+n6J/UpJQ0u/68u47wGrlgrVs8u1T0u6vbT9TNLKPcUXERERERERERGDIwlQmAiMkzQM2BqYvJTjNgd+ZXvbkrA7wnZHucf7JG1d6/ug7e2Bm4AJVJWY7waOKdefBfayPRrYCfhhSWruBvzV9ja2RwJXlv4n2x5b2lYFdm8T45PAg5JGUiV3z21ckLQBcALwAWAUMFbSnuXy6sBttrcBbgQOKO0/Bk61PRb4W22edvH/HPhcmW8lqmrUs9u/UsaxZAL6o8BfbM/sYQxUVZ8HAR+0vbTL8t9GlfjeAzgLuM72VsAzLE6IA2D7G8AzpVJ1vKR3APsA7ymVqwuB8Us5b0REREREREREvIJW+ASo7VnACKoE4RV9GPqA7dtq3z8paRowHdgSeGft2iXlZxcw2fZTtucAz0p6AyDgOEmzgN8DGwLrlf67SDpB0g6255b77CRpsqQuqgTmlj3EOZEqsbgntaXlwFjgettzbL9AlZjcsVx7HmjsqzmV6v1AlWhsJChf3Du1Xfy2u4HHJG0L7ApMt/1YqyAlvQ74KHBe+b4acARwZA/P1vC/JYZdl6Jvw+9sL6B6xyuzOLncxeLnbWdnquX6UyTNKN9fcuK9pANL1W/nnDlzmi9HRERERERERMQrYMhgB7CcuAT4AfB+YO1a+wssmSQeVvv8dOODpI2BQ4Gxth+XNKGpb2M/ykW1z43vQ6iqB4cDY2wvkNQNDLN9j6QxVEu7j5d0NfB94BSgw/aDko5qmqvZpcCJQKftJ2ur5dstmwdYYLux5HwhS/6dtFqK3jL+cu0MYD/gn4Aze5jzg8A024+U728DNgZmlpjfDEyTtJ3tvzWNfaTEcK2kx2xfV9rrv7/md/QcgO1FkurP2/id9ETAL20f3lMn26cBpwF0dHT0uIQ/IiIiIiIiIiIGxgpfAVqcCRxju6upvRsYDSBpNFVCrpXXUyVE55b9Mj/Yx/nXAv5ekoc7AW8tc24AzLd9FlWCdjSLE3mPSlqDajl9W2U/zK8DxzZdmky1VH+dsn/lvsANvcR5C4sPVaov+W4Zf3Eh1VL+scBVPdx7if1XbXfZXtf2CNsjgIeA0S2Sn43+9wAfA86SNKo0d1NVagJ8vJdn682Cxt6gwLXA3pLWBZD0JklvbT80IiIiIiIiIiIGSypAAdsPUe1v2WwS8NmyzHkKcE+b8TMlTQfuAO6jShT2xdnApZI6gRnA3aV9K+BESYuABcAXbT8h6XSqpdrdJa4e2Z7You1hSYcD11FVNF5h++JebnUIcE452GjSUsSP7eclXQc8YXthq5uW5e7/Avyf3p6lJ7anSPo8cElJxB4N/FzSN1n6vV3bOQ2YJWla2Qf0P4Cry96mC4AvAQ/0eIeIiIiIiIiIiHjFafHK34j+VxKE04BP2L53sOMZLB0dHe7s7BzsMCIiIiIiIiIiXjMkTS2HkvcoS+BjwEh6J9UBRdeuyMnPiIiIiIiIiIgYPFkCHwPG9p20OB09IiIiIiIiIiLilZIEaMQroOsvcxnxjcsHO4x4jer+3ocHO4SIiIiIiIiI5dZyuwRekiX9uvZ9iKQ5ki4bzLj6g6SjyvNtWmv7Wmnrdd+CpZxjXj/dZ6GkGZJmS7pU0hv6OP4oSYf2Ryw9zLGfpA1q388oy++X9b6HlWdvPP9CSW+qXV9Z0vTXwt9kRERERERERMRr1XKbAAWeBkZKWrV8/xfgL325gSrL6zN2AeNq3/cG7hykWHryjO1RtkcC/6A67Xx5sx/wYgLU9r+V5ffLxPaJ5dlHAYcDN9j+R63LIcBdyzpPREREREREREQMnOU1OdjwO6CxtnNf4DeNC82VhaVCb0T5d5ekU6hOH99I0qmSOiXdIeno2phuScdJurVcHy3pKkl/knRQ6bOGpGslTZPUJWmP0r66pMslzSxz71Paj5Q0pbSdJkltnu0ioHGvTYC5wJxabPuW+WZLOqHWPk/SsWXe2yStV9o3Ls8xRdJ3av3bxf8dSYfU+h0r6eBefh+3AhvWxhxW5pvV9F6PkPRHSb8HNq+1v03SlZKmSrpJ0halfUL5HV0n6T5J75N0Zvk9Tmh69h+WZ7lW0nBJewMdwNmlUnNVSdc3Kmn7+h570Pz392aqv80zehkXERERERERERGDaHlPgE4ExkkaBmwNTF7KcZsDv7K9re0HgCNsd5R7vE/S1rW+D9reHrgJmEBViflu4Jhy/VlgL9ujgZ2AH5ak5m7AX21vU6ojryz9T7Y9trStCuzeJsYngQcljaRKrp3buFCWc58AfAAYBYyVtGe5vDpwm+1tgBuBA0r7j4FTbY8F/labp138Pwc+V+Zbiaoa9ex2L1TSysDOwCXl+67AZsB2JcYxknaUNKbca1vgY8DY2m1OA75iewxwKHBK7doby/N+DbgUOAnYEthK0qjas08rz3ID8G3b5wOdwPhSrfnMMr7HVs++GtXve1Kt+UfAvwOL2o2LiIiIiIiIiIjBt1wnQG3PAkZQJQiv6MPQB2zfVvv+SUnTgOlUSbX6/pCXlJ9dwGTbT9meAzyrar9LAcdJmgX8nqoCcr3SfxdJJ0jawfbccp+dJE2W1EWVeNuyhzgnUiUL9wQurLWPBa63Pcf2C1SJyR3LteeBxp6TU6neD8B7WFyh+OLeqe3it90NPCZpW2BXYLrtx1rEuKqkGcBjwJuAa0r7ro1xVJW2W1AlRHcALrQ93/aTLE6YrgH8M3Beud/PgPVr81xq21Tv9RHbXbYXAXfUnnERixPFZwHvbRFv3ct5j618BLilsfxd0u7A321P7WlySQeWyuLOhfPn9tQ1IiIiIiIiIiIGyKvhFPhLgB8A7wfWrrW/wJIJ3GG1z083PkjamKracKztx8uS6nrf58rPRbXPje9DgPHAcGCM7QWSuoFhtu8p1Y4fAo6XdDXwfaqqxg7bD0o6qmmuZpcCJwKdtp+srZZvt2weYEFJFAIsZMnfoVv0bxl/uXYG1f6Z/wSc2Wa+Z2yPkrQWVcLwS8BPSozH2/5ZvbOkr7aJYyXgibKfZiu9/R5aaTXPEuH0cK2n99hsHLXl71TJ5o9K+hDVu3y9pLNsf3qJ4OzTqKpeWWX9zXqLNSIiIiIiIiIiBsByXQFanAkcY7urqb0bGA0gaTSwcZvxr6dKiM4t+zx+sI/zr0VV7bdA0k7AW8ucGwDzbZ9FlaAdzeLE4qOl4nHvnm5clmt/HTi26dJkqqX665Sl5/tSLfnuyS0sPlRpfG/xFxdSLe0eC1zVS6xzgYOBQyUNLf33L8+JpA0lrUu1nHyvshfnmlTVk5Rq0PslfaL0l6RtenmmZiux+J1+Cri5fH4KWLNF/5fzHpdQEr/vAy5utNk+3PabbY+geud/aE5+RkRERERERETE8mG5rwC1/RDV/pbNJgGfLcuppwD3tBk/U9J0qqXU91ElCvvibOBSSZ3ADODu0r4VcKKkRcAC4Iu2n5B0OtUy7u4SV49sT2zR9rCkw4HrqKoYr7B98UsGL+kQ4JxysFF9r8p28WP7eUnXUVVmLlyKWKdLmgmMs/1rSe8Abi2Vq/OAT9ueJuncMtcDVHurNowHTpX0H8BQ/h979x6nV1Xfff/zBdRwUKySolhLQCwKIQnJjEIpYBQpqBWwHBJpgVqh+rJyaPFRijdFaEBEn95aHmjD4Uk5hlIaIJyFOwilJM3kOOEgCoaioAwoCYEAIfnef+x1MTuX1zWTIRNmIN/368Ure6+19l6/va/xn5+/tXa1BcCi/uateR7YVdI8qo9GHVHapwH/LGklsGct3tfyHpsdAtxu+/l+R0ZERERERERExLCj3lXAsbEpHz+aDxxm+ydDHU9/JK2wvdVQx/FadHR0uKura6jDiIiIiIiIiIh405A0r3z4vE9vhCXwsQFI2gX4KXDnGyH5GRERERERERER8VoM+yXwsWHYfgDYcajjGIg3avVnREREREREREQMnVSARkRERERERERExJvWRp0AlWRJl9XON5PUI+nGoYxrMEg6vTzfTrW2k0pbv3sjrOMcKwbhHjtLWlj7b7mkE0vfmZIWl/bbJW3X4vqP1X8vSf8g6TZJbxuE2C4qWwUg6e/W934REREREREREfH626gToFRfFR8tafNy/kngFwO5gSrD9T12A5Nq54cCDwxRLC3Z/rHtcbbHAROAF4AZpftc22NK343AaX3dS9KpwF7AwbZfGoTYvli2CgBIAjQiIiIiIiIi4g1ouCbuXk+3AJ8ux5OBqxodpYry5Nr5Ekmjyn8PSjqf6ivq75d0gaQuSfdL+lbtmqWSzpJ0X+kfXyoUH5H0pTJmK0l3SpovqVvSQaV9S0k3SVpU5j6itJ8maW5pmypJbZ7tOqBxrx2BZUBPLbbJZb4lks6pta+QNKXMO1vStqV9h/IccyWdWRvfLv4zJZ1QGzdF0vF9/BafAB6x/RiA7eW1vi0Bt7tQ0t8CnwL+xPbK2rvfphx3SLqrHJ8u6V9LVelSSZ+T9J0S+62S3lLG3VWu+zawealEvaL0/Zmk/y5t/yJp0z6eKyIiIiIiIiIihkgSoDAdmCRpBDAGmLOO1+0MXGp795KwO9V2R7nHvpLG1MY+bntP4B5gGlUl5h7AGaX/ReAQ2+OBicD3SlLzAOAJ22NtjwZuLePPs91Z2jYHPtMmxuXA45JGUyV3r250lOXk5wAfB8YBnZIOLt1bArNtjwXuBo4t7d8HLrDdCfyyNk+7+C8Gji7zbUJVjXpF+1fKJGoJ6HLdFEmPA0fSvgJ0L+BLwIG213VZ/geoEt8HAZcDs2zvBqykNyEOgO1vACtLpeqRkj4MHAHsVapTV5f41iLpuJL07urp6WnujoiIiIiIiIiI18FGnwC1vRgYRZUgvHkAlz5me3bt/HBJ84EFwK7ALrW+G8q/3cAc28/Z7gFelPROQMBZkhYDdwDvA7Yt4/eTdI6kvW0vK/eZKGmOpG6qBOaufcQ5nSqxeDC9S8sBOoG7bPfYfoUqMblP6XuZask5wDyq9wNVorGRoHx179R28dteCjwjaXdgf2CB7WdaBSnprcBngWvq7bZPtf3+Et9ft3nGn5YY9m/T38ottldRveNN6U0ud9P7vO18gmq5/lxJC8v5js2DbE+13WG7Y+TIkQMILSIiIiIiIiIiBstmQx3AMHED8F3gY8C7a+2vsHaSeETt+PnGgaQdgJOBTtu/kTStaWxjP8o1tePG+WZU1YMjgQm2V0laCoyw/bCkCVRLu8+WdDvwHeB8oMP245JOb5qr2UzgXKDL9vLaavl2y+YBVtluLDdfzdp/J62WobeMv/RdBBwDvAe4pI85DwTm2/5Vm/4rgZuAv2/R96sSw52SnrE9q7TXf7/md/QSgO01kurP2/hN+iLgX22f0s+4iIiIiIiIiIgYYht9BWhxCXCG7e6m9qXAeABJ44Ed2lz/DqqE6LKyX+aBA5x/a+CpkjycCGxf5twOeMH25VQJ2vH0JvKelrQV1XL6tsp+mF8HpjR1zaFaqr9N2b9yMvCjfuK8l96PKtWXfLeMv5hBtZS/E7itj3uvtf8qgKQP1k4/CzzU7mLbDwOfAy6XNK40L6Wq1AT40z7mXherGnuDAncCh0r63RLnuyRt3/7SiIiIiIiIiIgYKqkABWz/nGp/y2bXAkeVZc5zgYfbXL9I0gLgfuBRqkThQFwBzJTUBSykN9G3G3CupDXAKuDLtp+VdCHVUu2lJa4+2Z7eou1JSacAs6gqGm+2fX0/tzoBuLJ82OjadYgf2y9LmgU8a3t1q5tK2gL4JPBXTV3flrQzVVXmY1T7fLZle66kvwBuKInYbwEXS/o71n1v13amAoslzS/7gH4TuL3sbboK+EqJMSIiIiIiIiIihhH1rvyNGHwlQTgfOMz2T4Y6nqHS0dHhrq6uoQ4jIiIiIiIiIuJNQ9K88lHyPmUJfGwwknah+kDRnRtz8jMiIiIiIiIiIoZOlsDHBmP7AVp8HT0iIiIiIiIiIuL1kgrQiIiIiIiIiIiIeNPaaBOgkizpstr5ZpJ6JN04lHENBkmnl+fbqdZ2Umnrd1+EdZxjxSDd51RJ90taLGmhpI+W9ovKEvrXcs9RkpYMQmz3lJgWSnpC0nWl/aBavF2S/mh954qIiIiIiIiIiA1jY14C/zwwWtLmtldSfYX8FwO5gSRRfUhqzYYIcD11A5OAfyjnhwIPDF04v03SnsBngPG2X5K0DfBWANtfHNLgqhj2bhxLuha4vpzeCdxg25LGAP8GfGgIQoyIiIiIiIiIiH5stBWgxS3Ap8vxZOCqRkepojy5dr6kVBaOkvSgpPOpvm7+fkkXlErA+yV9q3bNUklnSbqv9I+XdJukRyR9qYzZStKdkuZL6pZ0UGnfUtJNkhaVuY8o7adJmlvappYkbCvXAY177QgsA3pqsU0u8y2RdE6tfYWkKWXe2ZK2Le07lOeYK+nM2vh28Z8p6YTauCmSjm+K8b3A07ZfArD9tO0nyvi7GtWqfcT0gXI+V9IZrapSJW0q6dwyZrGkvyrt75V0d6niXCJp7+Zra/d4O/Dx8k6xvcK2S/eWgNtdGxERERERERERQ2tjT4BOByZJGgGMAeas43U7A5fa3t32Y8CptjvKPfYtVYENj9veE7gHmEZVibkHcEbpfxE4xPZ4YCLwvZLUPAB4wvZY26OBW8v482x3lrbNqSooW1kOPC5pNFVy9+pGh6TtgHOoknrjgE5JB5fuLYHZtscCdwPHlvbvAxfY7gR+WZunXfwXA0eX+Tahqka9oinG26kSyA9LOl/Svm2epa+Yvl9ieqLNtX8JLCtjOoFjJe0AfB64zfY4YCywsM31AIdQfcl+eaNB0iGSHgJuAr7Q6iJJx5XEd1dPT0+rIRERERERERERsYFt1AlQ24uBUVQJwpsHcOljtmfXzg+XNB9YAOwK1PeuvKH82w3Msf2c7R7gRUnvBAScJWkxcAfwPmDbMn4/SedI2tv2snKfiZLmSOqmSmDu2kec06kSjwcDM2rtncBdtntsv0KVmNyn9L0MNPZBnUf1fgD2ordC9tW9U9vFb3sp8Iyk3YH9gQW2n6kHZ3sFMAE4jqo69WpJx7R4jnYx7QlcU46vbPMO9geOkrSQKsH9buCDwFzgLySdDuxm+7k210NTdXCJfYbtD1G92zNbXWR7qu0O2x0jR47s4/YREREREREREbGhbMx7gDbcAHwX+BhVcqzhFdZOEI+oHT/fOCjVhCcDnbZ/I2la09iXyr9raseN882AI4GRwATbqyQtBUbYfljSBOBTwNmSbge+A5wPdNh+vCTv6nM1mwmcC3TZXl5bLd9u2TzAqtry7tWs/TfSaql3y/hL30XAMcB7gEtaTWZ7NXAXcFdJ6h5NVSm7rjH1R8BXbd/2Wx3SPlRbIFwm6Vzbl7YY827gI1RVoK3iv7ssxd/G9tMDiCsiIiIiIiIiIl4HG3UFaHEJcIbt7qb2pcB4AEnjgR3aXP8OqoTosrI35YEDnH9r4KmSPJwIbF/m3A54wfblVAna8fQmFp+WtBXVcvq2ysedvg5MaeqaQ7VUfxtJm1JVOP6onzjvpaomhSrp2Wf8xQyqpfydQKsE5M6SPlhrGgc81k8cdbOBPy3Hk9qMuQ34sqS3lDn/oOyvun2J+0Kq5frj21x/GHCj7Rdrce/U2Hu1/G28FXimzfURERERERERETGENvoKUNs/p9pLstm19C6dngs83Ob6RZIWAPcDj1IlCgfiCmCmpC6qfSgfKu27AedKWgOsAr5s+1lJF1Itj19a4uqT7ekt2p6UdAowi6pC8mbb1//WxWs7AbiyfNjo2nWIH9svS5oFPFsqPZttBfxT2QrgFeCnVMvh19WJwOWS/pZqL85lLcZcRLVkfn5JWvZQLVv/GPA1SauAFcBRbeaYBHy7qe1Pqf42VgErgSNqFaoRERERERERETGMKHmb2FDKx4/mA4fZ/skGuP8WwErbljQJmGz7oMGeZzB0dHS4q6trqMOIiIiIiIiIiHjTkDSvfJi8Txt9BWhsGJJ2ofpw0YwNkfwsJgDnlcrOZ2nzNfaIiIiIiIiIiNh4pQI04nXwtvd+0O89+n8PdRgRERHDytJvf3qoQ4iIiIiIN7B1rQDNR5AiIiIiIiIiIiLiTWvYJkAlWdJltfPNJPVIunEo4xoMkk4vz7dTre2k0tZv1nod51gxSPdZLWmhpCWSZpYPFg3k+tMlnTwYsfQxxzGStqudX1SW4K/vfb9Wnr3x/KslvUvSCEn/LWmRpPslfWt954qIiIiIiIiIiA1j2CZAgeeB0ZI2L+efBH4xkBuoMlyfsZvqC+MNhwIPDFEsfVlpe5zt0cCvga8MdUAtHAO8mgC1/UXb6/0ubZ9bnn0ccArwI9u/Bl4CPm57LDAOOEDSHus7X0REREREREREDL7hmhxsuAVobA41Gbiq0dFcWVgq9EaV/x6UdD7VF8jfL+kCSV3N1XqSlko6S9J9pX+8pNskPSLpS2XMVpLulDRfUrekg0r7lpJuKlWASyQdUdpPkzS3tE0tH+hp5Tqgca8dgWVATy22yWW+JZLOqbWvkDSlzDtb0ralfYfyHHMlnVkb3y7+MyWdUBs3RdLx/fwe9wHvq13ztTLf4qb3eqqkH0u6A9i51v4BSbdKmifpHkkfKu3Tym80S9KjkvaVdEn5Hac1Pfv3yrPcKWmkpEOBDuCKUqm5uaS7GpW0A32PfXj178+VRoXtW8p/2Uw3IiIiIiIiImIYGu4J0OnAJEkjgDHAnHW8bmfgUtu7234MOLVsiDoG2FfSmNrYx23vCdwDTKOqxNwDOKP0vwgcYns8MBH4XklqHgA8YXtsqY68tYw/z3Znadsc+EybGJcDj0saTZVcu7rRUZZznwN8nKrCsFPSwaV7S2B2qT68Gzi2tH8fuMB2J/DL2jzt4r8YOLrMtwlVNeoV7V6opE2BTwA3lPP9gQ8CHykxTpC0j6QJ5V67A58DOmu3mQp81fYE4GTg/Frf75TnPQmYCfwjsCuwm6RxtWefX57lR8Df2/53oAs4slRrrlzP99jq2beg+r2vrb8PSQuBp4Af2v6tv01Jx5XEetfqF5a1u31ERERERERERGxAwzoBansxMIoqQXjzAC59zPbs2vnhkuYDC6iSavX9IW8o/3YDc2w/Z7sHeFHVfpcCzpK0GLiDqgJy2zJ+P0nnSNrbdiPDNVHSHEndVIm3XfuIczpVsvBgYEatvRO4y3aP7VeoEpP7lL6XgcY+qPOo3g/AXvRWyL66d2q7+G0vBZ6RtDuwP7DA9jMtYty8JPqeAd4F/LC079+4jqrS9kNUCdG9gRm2X7C9nN6E6VbAHwLXlPv9C/De2jwzbZvqvf7KdrftNcD9tWdcQ2+i+HLgj1rEW/da3mMrfwLcW5a/A2B7dVka/3vAR0oiey22p9rusN2x6RZb9xNqRERERERERERsCMM6AVrcAHyX2vL34hXWjn9E7fj5xoGkHaiqDT9hewxwU9PYl8q/a2rHjfPNgCOBkcCEkvD6FTDC9sPABKqE3dll6fsIqqrGQ23vBlzYNFezmcCfA/9TkoWvht3HNatKohBgdYmxodUy7Jbxl76LqPbP/AvgkjbzrSzXbQ+8ld49QAWc3dgj0/ZOti/uI45NgGdr48fZ/nCtv7/foZX+lp2/1vfYbBK//fdXBWA9eC1uAAAgAElEQVQ/C9xFVSEaERERERERERHDzBshAXoJcIbt7qb2pcB4AEnjgR3aXP8OqoTosrLP44EDnH9r4CnbqyRNpEoENpZXv2D7cqoE7Xh6E4tPl4rHQ/u6cVmu/XVgSlPXHKql+tuUpeeTqZZ89+Veej+qdGR/8RczqBJ3ncBt/cS6DDgeOFnSW8r4L5TnRNL7JP0u1XLyQ8penG+nqp6kJHh/JumwMl6SxvbzTM02ofedfh74z3L8HPD2FuNfy3tci6StgX2B62ttI0t1MKo+0rUf8NBA7hsREREREREREa+PvqrehgXbP6fa37LZtcBRZTn1XODhNtcvkrSAain1o1SJwoG4ApgpqQtYSG+iazfgXElrgFXAl20/K+lCqqrQpSWuPtme3qLtSUmnALOoqhhvtn39b128thOAK8uHja6ttbeLH9svS5pFVZm5eh1iXSBpETDJ9mWSPgzcV20pygrgz2zPl3R1mesxqr1VG44ELpD0TaoPB00HFvU3b83zwK6S5lF9NOqI0j4N+GdJK4E9a/G+lvfY7BDgdtvP19reC/xrSapuAvyb7RtbXh0REREREREREUNKvauAY2NTPn40HzjM9k+GOp7+SFphe6uhjuO16OjocFdX11CHERERERERERHxpiFpXvnweZ/eCEvgYwOQtAvwU+DON0LyMyIiIiIiIiIi4rUY9kvgY8Ow/QCw41DHMRBv1OrPiIiIiIiIiIgYOqkA3YhJWi1pYe2/UZI6JP2g9B8j6bxyfHCpGm1ce5ekfkuM+5j7I5LulvRjSQ9JukjSFuv/VP3Oe7qkkwd4ze9LWlG/TtIlkp6StGTwo4yIiIiIiIiIiMGSCtCN20rb45ralgKtNqs8GLgReGB9J5W0LXAN1ceU7lP1FaU/pfqS+wvre/8N4B+BW5rapgHnAZe+7tFERERERERERMQ6SwVorEXSxyTd2NT2h8Bnqb56v1DSB0rXYZL+W9LDkvYuY++RNK527b2SxjRN8xXgX23fB+DKv9v+VakM/S9JC8q/O5f77FrmWihpsaQPlorVJbW5TpZ0ejk+VtJcSYskXduqulTS8ZIeKPeb3uZ9HAw8Ctxfb7d9N/Drfl9oREREREREREQMqSRAN26b15a/z2g3yPZ/ATcAX7M9zvYjpWsz2x8BTgT+vrRdBBwDIOkPgLfZXtx0y9HAvDbTPQTsY3t34DTgrNL+JeD7pWK1A/h5P8/2H7Y7bY8FHgT+ssWYbwC72x5T7r8WSVsCXwe+1c9cERERERERERExTGUJ/Mat1RL4gfiP8u88YFQ5vgb4X5K+BnyBaqn4QGwN/KukDwIG3lLa7wNOlfR7VMnNn1Qr59saLekfgHcCWwG3tRizGLhC0nXAdS36vwX8o+0V/czVkqTjgOMAfv/3f3/A10dERERERERExPpLBWisj5fKv6spyXTbLwA/BA4CDgeubHHd/cCENvc8E5hlezTwJ8CIct8rqZbhrwRuk/Rx4BXW/hseUTueBvy17d2oEpn1voZPA/9fiWWepOb/Q+CjwHckLaWqcv07SX/dJu7fYnuq7Q7bHSNHjlzXyyIiIiIiIiIiYhAlARrr6jmqjxSti4uAHwBzbbfaJ/M84GhJH200SPozSe+hqgD9RWk+pta/I/Co7R9QLccfA/wK+F1J75b0NuAztTneDjwp6S3Akc0BSNoEeL/tWcD/Q2+l6Kts7217lO1RwP8GzrJ93jq+g4iIiIiIiIiIGAaSAI11NR34Wvk40Qf6Gmh7HrAc+P/b9P8KmAR8V9KPJT0I7F2u+Q5wtqR7gU1rlx0BLJG0EPgQcKntVcAZwByqL9Q/VBv/v0r7D5vaGzYFLpfUDSygWur+bF/PVSfpKqpl+TtL+rmkVnuMRkRERERERETEEJPtoY4h3mQkbQfcBXzI9pohDmdY6OjocFdX11CHERERERERERHxpiFpnu2O/salAjQGlaSjqCovT03yMyIiIiIiIiIihlq+Ah+DyvalwKVDHUdERERERERERASkAjQiIiIiIiIiIiLexIZtAlSSJV1WO99MUo+kG4cyrsEg6fTyfDvV2k4qbf3uW7COc6wYpPuslrRQ0hJJMyW9c4DXny7p5MGIpY85jin7jjbOL5K0yyDc92vl2RvPv1rSuyS9X9IsSQ9Kul/SCes7V0REREREREREbBjDNgEKPA+MlrR5Of8k8IuB3ECV4fqM3VRfQm84FHhgiGLpy0rb42yPBn4NfGWoA2rhGODVBKjtL9pe73dp+9zy7OOAU4Af2f418Arwt7Y/DOwBfGUwEq4RERERERERETH4hmtysOEW4NPleDJwVaOjubKwVOiNKv89KOl8YD7wfkkXSOoq1Xrfql2zVNJZku4r/eMl3SbpEUlfKmO2knSnpPmSuiUdVNq3lHSTpEVl7iNK+2mS5pa2qZLU5tmuAxr32hFYBvTUYptc5lsi6Zxa+wpJU8q8syVtW9p3KM8xV9KZtfHt4j+zXrlY7nl8P7/HfcD7atd8rcy3uOm9nirpx5LuAHautX9A0q2S5km6R9KHSvu08hvNkvSopH0lXVJ+x2lNz/698ix3Shop6VCgA7iiVGpuLumuRiXtQN9jH179+7P9pO355fg54MH6e4mIiIiIiIiIiOFjuCdApwOTJI0AxlB9XXxd7Axcant3249RfZG8o9xjX0ljamMft70ncA8wjaoScw/gjNL/InCI7fHAROB7Jal5APCE7bGlOvLWMv48252lbXPgM21iXA48Lmk0VXLt6kZHWc59DvBxYBzQKeng0r0lMNv2WOBu4NjS/n3gAtudwC9r87SL/2Lg6DLfJlTVqFe0e6GSNgU+AdxQzvcHPgh8pMQ4QdI+kiaUe+0OfA7orN1mKvBV2xOAk4Hza32/U573JGAm8I/ArsBuksbVnn1+eZYfAX9v+9+BLuDIUq25cj3fY6tn34Lq9762Rd+o8qzr+rcZERERERERERGvo2GdALW9GBhFlSC8eQCXPmZ7du38cEnzgQVUSbX6cuUbyr/dwBzbz9nuAV5Utd+lgLMkLQbuoKr027aM30/SOZL2tr2s3GeipDmSuqkSb7v2Eed0qmThwcCMWnsncJftHtuvUCUm9yl9LwONfVDnUb0fgL3orZB9de/UdvHbXgo8I2l3YH9gge1nWsS4uaSFwDPAu4Aflvb9G9dRVdp+iCohujcww/YLtpfTmzDdCvhD4Jpyv38B3lubZ6ZtU73XX9nutr0GuL/2jGvoTRRfDvxRi3jrXst7bOVPgHvL8vdXlWe6FjixPCtN/ceVyuKunp6e5u6IiIiIiIiIiHgdDOsEaHED8F1qy9+LV1g7/hG14+cbB5J2oKo2/ITtMcBNTWNfKv+uqR03zjcDjgRGAhPKXpC/AkbYfhiYQJWwO7ssfR9BVdV4qO3dgAub5mo2E/hz4H+aEmjtls0DrCqJQoDVJcYGtxjfMv7SdxHV/pl/AVzSZr6V5brtgbfSuweogLMbe2Ta3sn2xX3EsQnwbG38uLKHZkN/v0Mrreape63vsdkkmv7+JL2FKvl5he3/aBmcPdV2h+2OkSNH9hNqRERERERERERsCG+EBOglwBm2u5valwLjASSNB3Zoc/07qBKiy8o+jwcOcP6tgadsr5I0kSoR2Fhe/YLty6kStOPpTSw+XaoDD+3rxmW59teBKU1dc6iW6m9Tlp5Pplry3Zd76f2o0pH9xV/MoFra3Qnc1k+sy4DjgZNL8u824AvlOZH0Pkm/S7Wc/JCyF+fbqaonKQnen0k6rIyXpLH9PFOzTeh9p58H/rMcPwe8vcX41/Ie1yJpa2Bf4PpaW2MLgQdt/78DeoKIiIiIiIiIiHhd9VX1NizY/jnV/pbNrgWOKsup5wIPt7l+kaQFVEupH6VKFA7EFcBMSV3AQuCh0r4bcK6kNcAq4Mu2n5V0IVVV6NISV59sT2/R9qSkU4BZVFWMN9u+/rcuXtsJwJXlw0b1vSrbxY/tlyXNoqrMXL0OsS6QtAiYZPsySR8G7qvygawA/sz2fElXl7keo9pbteFI4AJJ3wTeQrUFwKL+5q15HthV0jyqj0YdUdqnAf8saSWwZy3e1/Iemx0C3G77+VrbXlSVu93l7w/g72wPZJuGiIiIiIiIiIh4Hah3FXBsbMrHj+YDh9n+yVDH0x9JK2xvNdRxvBYdHR3u6uoa6jAiIiIiIiIiIt40JM0rHz7v0xthCXxsAJJ2AX4K3PlGSH5GRERERERERES8FsN+CXxsGLYfAHYc6jgG4o1a/RkREREREREREUMnFaARERERERERERHxprVRJ0AlWdJltfPNJPVIunEo4xoMkk4vz7dTre2k0tbv3gjrOMeKQbjHzpIW1v5bLunE0neupIckLZY0Q9I7W1w/StKS2vmxkuZL+p1BiO0MSfuV4xMlbbG+94yIiIiIiIiIiNfXRp0Apfqq+GhJm5fzTwK/GMgNVBmu77EbmFQ7PxR4YIhiacn2j22Psz0OmAC8AMwo3T8ERtseAzwMnNLXvST9OfBVYH/bvxmE2E6zfUc5PRFIAjQiIiIiIiIi4g1muCbuXk+3AJ8ux5OBqxodpYry5Nr5klJxOErSg5LOp/qK+vslXSCpS9L9kr5Vu2appLMk3Vf6x0u6TdIjkr5Uxmwl6c5Sudgt6aDSvqWkmyQtKnMfUdpPkzS3tE2VpDbPdh3QuNeOwDKgpxbb5DLfEknn1NpXSJpS5p0tadvSvkN5jrmSzqyNbxf/mZJOqI2bIun4Pn6LTwCP2H4MwPbttl8pfbOB32t3oaTDgW9QJT+fLm13NapdJW0jaWk5PkbSdZJmSvqZpL+W9DeSFpTnfVcZN03SoSXm7YBZkmaVvv3Lu5gv6RpJ2Z80IiIiIiIiImIYSgIUpgOTJI0AxgBz1vG6nYFLbe9eEnan2u4o99hX0pja2Mdt7wncA0yjqsTcAzij9L8IHGJ7PDAR+F5Jah4APGF7rO3RwK1l/Hm2O0vb5sBn2sS4HHhc0miq5O7VjQ5J2wHnAB8HxgGdkg4u3VsCs22PBe4Gji3t3wcusN0J/LI2T7v4LwaOLvNtQlWNekX7V8okagnoJl+gSla3sj1wHlXy85dtxjQbDXwe+AgwBXjB9u7AfcBR9YG2fwA8AUy0PVHSNsA3gf3KM3cBf7OO80ZERERERERExOtoo0+A2l4MjKJKEN48gEsfsz27dn64pPnAAmBXYJda3w3l325gju3nbPcAL5Z9LQWcJWkxcAfwPmDbMn4/SedI2tv2snKfiZLmSOqmSmDu2kec06kSiwfTu7QcoBO4y3ZPqbK8Atin9L0MNPZBnUf1fgD2ojdB+ereqe3it70UeEbS7sD+wALbz7QKUtJbgc8C17ToOxVoxNhKD/A/wOFt+luZVfsdlgEzS3s3vc/bzh5Uv++9khZSJXm3bxH3caXqt6unp6e5OyIiIiIiIiIiXgebDXUAw8QNwHeBjwHvrrW/wtpJ4hG14+cbB5J2AE4GOm3/RtK0prEvlX/X1I4b55sBRwIjgQm2V5Wl2iNsPyxpAvAp4GxJtwPfAc4HOmw/Lun0prmazQTOBbpsL6+tlm+3bB5glW2X49Ws/XfiFuNbxl/6LgKOAd4DXNLHnAcC823/qt4o6WiqCtdP1GJq9kK5/j8lPWW7kSit/37N76j5d6j/Rv3970LAD21P7muQ7anAVICOjo52sUdERERERERExAa00VeAFpcAZ9jubmpfCowHkDQe2KHN9e+gSoguK/tlHjjA+bcGnirJw4mUasKyTP0F25dTJWjH05vIe7rsO3loXze2vRL4OtUy77o5VEv1t5G0KVUF7I/6ifNeej+qdGR/8RczqJbydwK39XHvtfZfBZB0QIn9s7Zf6CuwUsl5AFUl6h+X5qVUH1aCft7TOngOeHs5ng3sJWmnEucWkv5gPe8fEREREREREREbQCpAAds/p9rfstm1wFFlmfNcqi+Rt7p+kaQFwP3Ao1SJwoG4ApgpqQtYCDxU2ncDzpW0BlgFfNn2s5IupFqqvbTE1Sfb01u0PSnpFGAWVUXjzbav7+dWJwBXlg8bXbsO8WP75fLhoGdtr251U0lbAJ8E/qqp6zzgbcAPS+XqbNtf6uM5fybps8DNkj5HlTT+N1Vfh/8//Txbf6YCt0h6suwDegxwlaS3lf5v0ubvIyIiIiIiIiIiho7aryqOWH/l40fzgcNs/2So4xkqHR0d7urqGuowIiIiIiIiIiLeNCTNKx8l71OWwMcGI2kX4KfAnRtz8jMiIiIiIiIiIoZOlsDHBmP7AWDHoY4jIiIiIiIiIiI2XkmARrwOun+xjFHfuGmow3jDWPrtTw91CBERERERERHxJrHRLoGXZEmX1c43k9Qj6cahjGswSDq9PN9OtbaTSlu/+yKs4xwrBuk+p0q6X9JiSQslfbS0X1SW0L+We46StGQQYrunxLRQ0hOSrivtR5Z4F0v6L0lj13euiIiIiIiIiIjYMDbmCtDngdGSNre9kuor5L8YyA1UfZpcttdsiADXUzcwCfiHcn4o8MDQhfPbJO0JfAYYb/slSdsAbwWw/cUhDa6KYe/GsaRrgevL6c+AfW3/RtKBVF+I/+gQhBgREREREREREf3YaCtAi1uAxlrbycBVjY5SRXly7XxJqSwcJelBSedTfd38/ZIukNRVKhm/VbtmqaSzJN1X+sdLuk3SI5K+VMZsJelOSfMldUs6qLRvKekmSYvK3EeU9tMkzS1tU0sStpXrgMa9dgSWAT212CaX+ZZIOqfWvkLSlDLvbEnblvYdynPMlXRmbXy7+M+UdEJt3BRJxzfF+F7gadsvAdh+2vYTZfxdjWrVPmL6QDmfK+mMVlWpkjaVdG4Zs1jSX5X290q6u1R3LpG0d/O1tXu8Hfh4eafY/i/bvynds4Hfa3dtREREREREREQMrY09ATodmCRpBDAGmLOO1+0MXGp7d9uPAafa7ij32FfSmNrYx23vCdwDTKOqxNwDOKP0vwgcYns8MBH4XklqHgA8YXus7dHArWX8ebY7S9vmVBWUrSwHHpc0miq5e3WjQ9J2wDlUSb1xQKekg0v3lsBs22OBu4FjS/v3gQtsdwK/rM3TLv6LgaPLfJtQVaNe0RTj7VQJ5IclnS9p3zbP0ldM3y8xPdHm2r8ElpUxncCxknYAPg/cZnscMBZY2OZ6gEOovmS/vM39b2l1kaTjSuK7a/ULy/q4fUREREREREREbCgbdQLU9mJgFFWC8OYBXPqY7dm188MlzQcWALsC9b0rbyj/dgNzbD9nuwd4UdI7AQFnSVoM3AG8D9i2jN9P0jmS9rbdyKBNlDRHUjdVAnPXPuKcTpV4PBiYUWvvBO6y3WP7FarE5D6l72WgsQ/qPKr3A7AXvRWyr+6d2i5+20uBZyTtDuwPLLD9TD042yuACcBxVNWpV0s6psVztItpT+Cacnxlm3ewP3CUpIVUCe53Ax8E5gJ/Iel0YDfbz7W5Hpqqg199cGkiVQL0660usj3Vdoftjk232LqP20dERERERERExIayMe8B2nAD8F3gY1TJsYZXWDtBPKJ2/HzjoFQTngx0lj0hpzWNfan8u6Z23DjfDDgSGAlMsL1K0lJghO2HJU0APgWcLel24DvA+UCH7cdL8q4+V7OZwLlAl+3ltdXy7ZbNA6yy7XK8mrX/RtxifMv4S99FwDHAe4BLWk1mezVwF3BXSeoeTVUpu64x9UfAV23f9lsd0j5UWyBcJulc25e2GPNu4CNUVaD19jFUz3dgc2I3IiIiIiIiIiKGj426ArS4BDjDdndT+1JgPICk8cAOba5/B1VCdFnZm/LAAc6/NfBUSR5OBLYvc24HvGD7cqoE7Xh6E4tPS9qKajl9W+XjTl8HpjR1zaFaqr+NpE2pKhx/1E+c91JVk0KV9Owz/mIG1VL+TqBVAnJnSR+sNY0DHusnjrrZwJ+W40ltxtwGfFnSW8qcf1D2V92+xH0h1XL98W2uPwy40faLtbh/H/gP4M9tPzyAeCMiIiIiIiIi4nW20VeA2v451V6Sza6ld+n0XKBlosv2IkkLgPuBR6kShQNxBTBTUhfVPpQPlfbdgHMlrQFWAV+2/aykC6mWxy8tcfXJ9vQWbU9KOgWYRVUhebPt63/r4rWdAFxZPmx07TrEj+2XJc0Cni2Vns22Av6pbAXwCvBTquXw6+pE4HJJfwvcRPWhp2YXUS2Zn1/2Ju2h2hLgY8DXJK0CVgBHtZljEvDtprbTqKqFzy9Vta+UPWAjIiIiIiIiImKYUe/K4ojBVT5+NB84zPZPNsD9twBW2rakScBk2wcN9jyDoaOjw11dXUMdRkRERERERETEm4akeetSlLbRV4DGhiFpF6oPF83YEMnPYgJwXqnsfBb4wgaaJyIiIiIiIiIi3qCSAI0NwvYDwI4beI57gLEbco6IiIiIiIiIiHhjy0eQIiIiIiIiIiIi4k1r2CZAJVnSZbXzzST1SLpxKOMaDJJOL8+3U63tpNI2KB/TkbRikO6zWtJCSUskzSwfLBrI9adLOnkwYuljjmMkbVc7v6gswV/f+36tPHvj+VdLelfpu0TSU5KWrO88ERERERERERGx4QzbBCjwPDBa0ubl/JPALwZyA1WG6zN2U31hvOFQ4IEhiqUvK22Psz0a+DXwlaEOqIVjgFcToLa/WJbgrxfb55ZnHwecAvzI9q9L9zTggPWdIyIiIiIiIiIiNqzhmhxsuAX4dDmeDFzV6GiuLCwVeqPKfw9KOp/qC+Tvl3SBpC5J90v6Vu2apZLOknRf6R8v6TZJj0j6UhmzlaQ7Jc2X1C3poNK+paSbJC0qcx9R2k+TNLe0TS0f6GnlOqBxrx2BZUBPLbbJZb4lks6pta+QNKXMO1vStqV9h/IccyWdWRvfLv4zJZ1QGzdF0vH9/B73Ae+rXfO1Mt/ipvd6qqQfS7oD2LnW/gFJt0qaJ+keSR8q7dPKbzRL0qOS9i0Vlg9Kmtb07N8rz3KnpJGSDgU6gCtKpebmku5qVNIO9D32Ya2/P9t3UyWEIyIiIiIiIiJiGBvuCdDpwCRJI4AxwJx1vG5n4FLbu9t+DDjVdke5x76SxtTGPm57T+Aeqqq+Q4E9gDNK/4vAIbbHAxOB75Wk5gHAE7bHlurIW8v482x3lrbNgc+0iXE58Lik0VTJtasbHWU59znAx4FxQKekg0v3lsBs22OBu4FjS/v3gQtsdwK/rM3TLv6LgaPLfJtQVaNe0e6FStoU+ARwQznfH/gg8JES4wRJ+0iaUO61O/A5oLN2m6nAV21PAE4Gzq/1/U553pOAmcA/ArsCu0kaV3v2+eVZfgT8ve1/B7qAI0u15sr1fI+tnn0Lqt/72nZj2lx3XEmsd/X09PR/QUREREREREREDLphnQC1vRgYRZUgvHkAlz5me3bt/HBJ84EFVEm1+v6QN5R/u4E5tp+z3QO8qGq/SwFnSVoM3EFVAbltGb+fpHMk7W17WbnPRElzJHVTJd527SPO6VTJwoOBGbX2TuAu2z22X6FKTO5T+l4GGvugzqN6PwB70Vuh+Oreqe3it70UeEbS7sD+wALbz7SIcXNJC4FngHcBPyzt+zeuo6q0/RBVQnRvYIbtF2wvpzdhuhXwh8A15X7/Ary3Ns9M26Z6r7+y3W17DXB/7RnX0Jsovhz4oxbx1r2W99jKnwD31pa/rxPbU2132O4YOXLkQC6NiIiIiIiIiIhBstlQB7AObgC+C3wMeHet/RXWTuCOqB0/3ziQtANVtWGn7d+UJdX1sS+Vf9fUjhvnmwFHAiOBCbZXSVoKjLD9cKl2/BRwtqTbge9QVTV22H5c0ulNczWbCZwLdNleXlst327ZPMCqkigEWM3av6FbjG8Zf+m7iGr/zPcAl7SZb6XtcZK2pkoYfgX4QYnxbNv/Uh8s6cQ2cWwCPFv202ylv9+hlVbzrBVOH319vcdmk6gtf4+IiIiIiIiIiDeOYV0BWlwCnGG7u6l9KTAeQNJ4YIc217+DKiG6rOzzeOAA598aeKokDycC25c5twNesH05VYJ2PL2JxadLxeOhfd24LNf+OjClqWsO1VL9bcrS88lUS777ci+9H1U6sr/4ixlUS7s7gdv6iXUZcDxwsqS3lPFfKM+JpPdJ+l2q5eSHlL04305VPUmpBv2ZpMPKeEka288zNduE3nf6eeA/y/FzwNtbjH8t73EtJfG7L3D9AGONiIiIiIiIiIhhYNhXgNr+OdX+ls2uBY4qy6nnAg+3uX6RpAVUS6kfpUoUDsQVwExJXcBC4KHSvhtwrqQ1wCrgy7aflXQh1TLupSWuPtme3qLtSUmnALOoqhhvtt1fAu4E4MryYaP6XpXt4sf2y5JmUVVmrl6HWBdIWgRMsn2ZpA8D95XK1RXAn9meL+nqMtdjVHurNhwJXCDpm8BbqLYAWNTfvDXPA7tKmkf10agjSvs04J8lrQT2rMX7Wt5js0OA220/X2+UdBVVVfI2kn5OtR/pxQO8d0REREREREREbGDqXQUcG5vy8aP5wGG2fzLU8fRH0grbWw11HK9FR0eHu7q6hjqMiIiIiIiIiIg3DUnzyofP+/RGWAIfG4CkXYCfAne+EZKfERERERERERERr8WwXwIfG4btB4AdhzqOgXijVn9GRERERERERMTQSQVoREREREREREREvGlt1AlQSZZ0We18M0k9km4cyrgGg6TTy/PtVGs7qbT1uzfCOs6xYhDusbOkhbX/lks6sfQdJul+SWvaxSxplKQltfNjJc2X9DuDENsZkvYrxydK2mJ97xkREREREREREa+vjToBSvVV8dGSNi/nnwR+MZAbqDJc32M3MKl2fijwwBDF0pLtH9seZ3scMAF4AZhRupcAnwPuXpd7Sfpz4KvA/rZ/MwixnWb7jnJ6IpAEaLBd3moAACAASURBVERERERERETEG8xwTdy9nm4BPl2OJwNXNTpKFeXJtfMlpeJwlKQHJZ1P9RX190u6QFJXqVj8Vu2apZLOknRf6R8v6TZJj0j6UhmzlaQ7S+Vit6SDSvuWkm6StKjMfURpP03S3NI2VZLaPNt1QONeOwLLgJ5abJPLfEsknVNrXyFpSpl3tqRtS/sO5TnmSjqzNr5d/GdKOqE2boqk4/v4LT4BPGL7MQDbD9r+cR/jXyXpcOAbVMnPp0vbXY3KUUnbSFpajo+RdJ2kmZJ+JumvJf2NpAXled9Vxk2TdGiJeTtglqRZpW//8i7mS7pGUvYnjYiIiIiIiIgYhpIAhenAJEkjgDHAnHW8bmfgUtu7l4TdqbY7yj32lTSmNvZx23sC9wDTqCox9wDOKP0vAofYHg9MBL5XkpoHAE/YHmt7NHBrGX+e7c7StjnwmTYxLgcelzSaKrl7daND0nbAOcDHgXFAp6SDS/eWwGzbY6mqL48t7d8HLrDdCfyyNk+7+C8Gji7zbUJVjXpF+1fKJGoJ6AHYHjiPKvn5y/4GF6OBzwMfAaYAL9jeHbgPOKo+0PYPgCeAibYnStoG+CawX3nmLuBvmieQdFxJenf19PQ0d0dERERERERExOtgo0+A2l4MjKJKEN48gEsfsz27dn64pPnAAmBXYJda3w3l325gju3nbPcAL0p6JyDgLEmLgTuA9wHblvH7STpH0t62l5X7TJQ0R1I3VQJz1z7inE6VWDyY3qXlAJ3AXbZ7bL9ClZjcp/S9DDT2QZ1H9X4A9qI3Qfnq3qnt4re9FHhG0u7A/sAC28+0ClLSW4HPAtf08Szt9AD/Axw+gGtm1X6HZcDM0t5N7/O2swfV73uvpIVUSd7tmwfZnmq7w3bHyJEjBxBaREREREREREQMls2GOoBh4gbgu8DHgHfX2l9h7STxiNrx840DSTsAJwOdtn8jaVrT2JfKv2tqx43zzYAjgZHABNurylLtEbYfljQB+BRwtqTbge8A5wMdth+XdHrTXM1mAucCXbaX11bLt1s2D7DKtsvxatb+O3GL8S3jL30XAccA7wEu6WPOA4H5tn/Vx5h2XijX/6ekp2w3qkzrv1/zO2r+Heq/UX//uxDwQ9uTX0OsERERERERERHxOtroK0CLS4AzbHc3tS8FxgNIGg/s0Ob6d1AlRJeV/TIPHOD8WwNPleThREo1YVmm/oLty6kStOPpTeQ9XfadPLSvG9teCXydapl33RyqpfrbSNqUqgL2R/3EeS+9H1U6sr/4ixlUS/k7gdv6uPda+68OVKnkPICqEvWPS/NSqg8rQT/vaR08B7y9HM8G9pK0E4CkLST9wXrePyIiIiIiIiIiNoBUgAK2f061v2Wza4GjyjLnucDDba5fJGkBcD/wKFWicCCuAGZK6gIWAg+V9t2AcyWtAVYBX7b9rKQLqZZqLy1x9cn29BZtT0o6BZhFVdF4s+3r+7nVCcCV5cNG165D/Nh+uXw46Fnbq1vdVNIWwCeBv2pqPwT4J6rq0pskLbT9xy1u0ZjrZ5I+C9ws6XNUSeN/U/V1+P/Tz7P1Zypwi6Qnyz6gxwBXSXpb6f8mbf4+IiIiIiIiIiJi6Kh3pXPE4CsfP5oPHGb7J0Mdz1Dp6OhwV1fXUIcREREREREREfGmIWle+Sh5n7IEPjYYSbsAPwXu3JiTnxERERERERERMXSyBD42GNsPADsOdRzDQfcvljHqGzcNdRgRERHDytJvf3qoQ4iIiIiIjcBGWwEqyZIuq51vJqlH0o1DGddgkHR6eb6dam0nlbZ+y4LXcY4Vg3SfUyXdL2mxpIWSPlraLyoVpK/lnqMkLRmE2O4pMS2U9ISk60r7hyTdJ+klSSev7zwRERERERER8X/Zu/cwvar67v/vDwQJJ9ECIiAPAUUUQhKSGZRaTh54RK2AgiTiA3iA4k8FbOERS2sRBEH0slgKLQQaETAUMcg5KE8iFEmayXHCQUQM5SQElEAgQA6f3x973WTnZu6ZDMwwA/N5XRfXvfdaa+/13XvSP/r1u9aO6D9DuQL0WWCkpA3Kl9I/AjzcmxtIEtU+qqv6I8BXqZPqi+3fKecHA3cNXDgvJ2kP4BPAWNsvSNoceBOA7S8NaHBVDHs2jiVdBTQ+EvUn4FjgwIGIKyIiIiIiIiIi1t6QrQAtbgQaa68mAD9tdJQqyhNq5wtLZeEISXdLOo/q4z7bSjpfUkepZPx27ZpFks4o1YIdksZKmirp95KOKWM2lnSLpDmSOiUdUNo3knS9pPll7kNL+7ckzSptF5QkbFeuBhr32gFYAiyuxTahzLdQ0lm19qWSTi/zzpC0ZWnfvjzHLEmn1ca3iv+08rX4xrjTJR3bFONWwBO2XwCw/YTtR8r46Y1q1W5iemc5nyXp1K6qUiWtK+nsMmaBpL8p7VtJurVUdy6UtGfztbV7bAJ8sLxTbD9uexawvNU1ERERERERERExOAz1BOhkYLyk4cAoYOZaXrcTcInt3Ww/AJxcvjg1Cthb0qja2Adt7wHcBkyiqsR8P3Bq6X8eOMj2WGBf4AclqflR4BHbo22PBG4q48+13V7aNqCqoOzK08CDkkZSJXevaHRI2ho4iyqpNwZol9SoZtwImGF7NHArcFRpPwc433Y78MfaPK3ivwg4osy3DlU16mVNMd5MlUC+V9J5kvZu8SzdxXROiemRFtd+EVhSxrQDR0naHvgsMNX2GGA0MK/F9QAHUX3I6eluxkRERERERERExCA0pBOgthcAI6gShDf04tIHbM+onX9G0hxgLrALUN+78pry2wnMtP2M7cXA85LeAgg4Q9IC4FfANsCWZfyHJZ0laU/bS8p99pU0U1InVQJzl27inEyVeDwQmFJrbwem215sewVVYnKv0vci0NgHdTbV+wH4AKsrZF/aO7VV/LYXAU9K2g3YD5hr+8l6cLaXAuOAo6mqU6+QdGQXz9Eqpj2AK8vx5S3ewX7A4ZLmUSW4NwN2BGYBn5d0CrCr7WdaXA9N1cFrS9LRpfK3Y+VzS3q+ICIiIiIiIiIi+txQ3gO04Rrg+8A+VMmxhhWsmSAeXjt+tnFQqglPANpt/1nSpKaxL5TfVbXjxvkw4DBgC2Cc7eWSFgHDbd8raRzwMeC7km4GvgecB7TZfrAk7+pzNbsWOBvosP10bbV8q2XzAMttuxyvZM1/I+5ifJfxl76JwJHA24GLu5rM9kpgOjC9JHWPoKqUXduYeiLga7anvqxD2otqC4SfSDrb9iVdjNkM2J2qCrRXbF8AXACw/lY7dvXuIiIiIiIiIiKinw3pCtDiYuBU251N7YuAsQCSxgLbt7j+zVQJ0SVlb8r9ezn/psDjJXm4L7BdmXNr4Dnbl1IlaMeyOrH4hKSNqZbTt1Q+7vQN4PSmrplUS/U3l7QuVYXjr3uI83aqalKokp7dxl9MoVrK3w50lYDcSdKOtaYxwAM9xFE3A/h0OR7fYsxU4MuS1itzvrvsr7pdiftCquX6Y1tcfwhwne3nexFXREREREREREQMEkO+AtT2Q1R7STa7itVLp2cB97a4fr6kucCdwP1UicLeuAy4VlIH1T6U95T2XYGzJa2i+tjOl20/JelCquXxi0pc3bI9uYu2RyV9E5hGVSF5g+1fvOziNR0HXF4+bHTVWsSP7RclTQOeKpWezTYG/qVsBbACuI9qOfzaOh64VNLfAddTfeip2USqJfNzyt6ki6m2BNgHOFHScmApcHiLOcYDZ9YbJL0d6KBKfq+SdDywc/YIjYiIiIiIiIgYfLR6ZXFE3yofP5oDHGL7d/1w/w2BZbYtaTwwwfYBfT1PX1h/qx291RH/PNBhREREDCqLzvz4QIcQEREREa9jkmaXD5N3a8hXgEb/kLQz1YeLpvRH8rMYB5xbKjufAr7QT/O8artusykd+X/yIiIiIiIiIiJec0mARr+wfRewQz/PcRswuj/niIiIiIiIiIiI17ckQCNeA50PL2HESdcPdBivG1kSGRERERERERF9JV+BH8IkrZQ0r/bfCEltkn5U+o+UdG45PrAsa29cO11Sj3ssdDP37pJulfRbSfdImlj29OxXkk6RdEIvr/lfkpbWr5P00RL7fZJO6vtIIyIiIiIiIiKiL6QCdGhbZntMU9siqi+cNzuQak/Pu17tpJK2BK4Extu+o+zh+WlgE+C5V3v/fvBD4MbGiaR1gX8FPgI8BMySdE1Z9h8REREREREREYNIKkBjDZL2kXRdU9tfAp8Ezi6Vou8sXYdI+m9J90ras4y9TdKY2rW3SxrVNM1XgB/bvgPAlZ/ZfqxUhv5G0tzyu1O5zy5lrnmSFkjasVSsLqzNdYKkU8rxUZJmSZov6aquqkslHSvprnK/yS3ex4HA/cCdtebdgfts32/7RWAyMCi/Ph8RERERERERMdQlATq0bVBb/j6l1SDbvwGuAU60Pcb270vXMNu7A8cD/1TaJgJHAkh6N7C+7QVNtxwJzG4x3T3AXrZ3A74FnFHajwHOKRWrbVSVl935ue1226OBu4EvdjHmJGA326PK/dcgaSPgG8C3m7q2AR6snT9U2iIiIiIiIiIiYpDJEvihrasl8L3x8/I7GxhRjq8E/lHSicAXgEm9vOemwI8l7QgYWK+03wGcLOkdVMnN31Ur51saKek7wFuAjYGpXYxZAFwm6Wrg6i76vw380PbSprm6mtjNDZKOBo4GWPfNW3QXa0RERERERERE9JNUgMar8UL5XUlJptt+Dvgl1ZLwzwCXd3HdncC4Fvc8DZhmeyTw18Dwct/LqZbhLwOmSvogsII1/w0Prx1PAr5qe1eqRGa9r+HjVHt5jgNmS2r+HwTeB3xP0iKqKte/l/RVqorPbWvj3gE80nxz2xfYbrPdtu6Gm7Z43IiIiIiIiIiI6E9JgMbaeobqI0VrYyLwI2CW7T910X8ucISk9zUaJH1O0tupKkAfLs1H1vp3AO63/SOq5fijgMeAt0naTNL6wCdqc2wCPCppPeCw5gAkrQNsa3sa8H9ZXSn6Ett72h5hewTwz8AZts8FZgE7Stpe0puA8SWmiIiIiIiIiIgYZJIAjbU1GTixfJzond0NtD0beBr4jxb9j1ElDb8v6beS7gb2LNd8D/iupNuBdWuXHQoslDQPeA9wie3lwKnATKov1N9TG/+Ppf2XTe0N6wKXSuoE5lItdX+qu+eqxb8C+CrVsvq7gf+0fWf3V0VERERERERExECQ/bKtCyNeFUlbA9OB99heNcDhDAptbW3u6OgY6DAiIiIiIiIiIt4wJM223dbTuFSARp+SdDhV5eXJSX5GRERERERERMRAy1fgo0/ZvgS4ZKDjiIiIiIiIiIiIgFSARkRERERERERExBvYoE2ASrKkn9TOh0laLOm6gYyrL0g6pTzfu2ptXy9tPe5bsJZzLO2j+6yUNE/SQknXSnpLL68/RdIJfRFLN3McWfYdbZxPlLRzH9z3xPLsjedfKekvSt9Hywec7pN00qudKyIiIiIiIiIi+segTYACzwIjJW1Qzj8CPNybG6gyWJ+xk+pL6A0HA3cNUCzdWWZ7jO2RwJ+Arwx0QF04EngpAWr7S7Zf9bu0fXZ59jHAN4Ff2/6TpHWBfwX2B3YGJvRFwjUiIiIiIiIiIvreYE0ONtwIfLwcTwB+2uhoriwsFXojyn93SzoPmANsK+l8SR2S7pT07do1iySdIemO0j9W0lRJv5d0TBmzsaRbJM2R1CnpgNK+kaTrJc0vcx9a2r8laVZpu0CSWjzb1UDjXjsAS4DFtdgmlPkWSjqr1r5U0ull3hmStizt25fnmCXptNr4VvGfJum42rjTJR3bw9/jDmCb2jUnlvkWNL3Xk0t15K+AnWrt75R0k6TZkm6T9J7SPqn8jaZJul/S3pIuLn/HSU3P/oPyLLdI2kLSwUAbcFmp1NxA0vRGJW1v32M36v/+dgfus32/7ReByZS/ZUREREREREREDC6DPQE6GRgvaTgwiurr4mtjJ+AS27vZfoDqi+Rt5R57SxpVG/ug7T2A24BJVJWY7wdOLf3PAwfZHgvsC/ygJDU/Cjxie3SpjrypjD/Xdntp2wD4RIsYnwYelDSSKrl2RaOjLOc+C/ggMAZol3Rg6d4ImGF7NHArcFRpPwc433Y78MfaPK3ivwg4osy3DlU16mWtXmipevwQcE053w/YkSoZOAYYJ2kvSePKvXYDPgW0125zAfA12+OAE4Dzan1vLc/7deBa4IfALsCuksbUnn1OeZZfA/9k+2dAB3BYqdZc9irfY1fPviHV3/uq0rQN8GBtyEPUEsO1644uifWOxYsXN3dHRERERERERMRrYFAnQG0vAEZQJQhv6MWlD9ieUTv/jKQ5wFyqpFp9ufI15bcTmGn7GduLgedV7Xcp4AxJC4BfUSW6tizjPyzpLEl72l5S7rOvpJmSOqkSb7t0E+dkqmThgcCUWns7MN32YtsrqBKTe5W+F4HGPqizqd4PwAdYXaH40t6preK3vQh4UtJuwH7AXNtPdhHjBpLmAU8CfwH8srTv17iOqtL2PVQJ0T2BKbafs/00qxOmGwN/CVxZ7vfvwFa1ea61bar3+pjtTturgDtrz7iK1YniS4G/6iLeulfyHrvy18Dttv9Uzruq6vXLGuwLbLfZbttiiy16CDUiIiIiIiIiIvrDsIEOYC1cA3wf2AfYrNa+gjUTuMNrx882DiRtT1Vt2G77z2VJdX3sC+V3Ve24cT4MOAzYAhhne7mkRcBw2/eWasePAd+VdDPwPaqqxjbbD0o6pWmuZtcCZwMdtp+urZZvtWweYHlJFAKsZM2/4cuScK3iL30TqfbPfDtwcYv5ltkeI2lTqoThV4AflRi/a/vf64MlHd8ijnWAp8p+ml3p6e/Qla7mWSOcbvq6e4/NxlPbfoGq4nPb2vk7gEd6iCUiIiIiIiIiIgbAoK4ALS4GTrXd2dS+CBgLIGkssH2L699MlRBdUvZ53L+X828KPF6Sh/sC25U5twaes30pVYJ2LKsTi0+UiseDu7txWa79DeD0pq6ZVEv1Ny9LzydQLfnuzu2s/qjSYT3FX0yhWtrdDkztIdYlwLHACZLWK+O/UJ4TSdtIehvVcvKDyl6cm1BVT1KqQf8g6ZAyXpJG9/BMzdZh9Tv9LPBf5fgZYJMuxr+S97iGkvjdG/hFrXkWsGPZd/VNVO/9mq6uj4iIiIiIiIiIgTXoK0BtP0S1v2Wzq4DDy3LqWcC9La6fL2ku1VLq+6kShb1xGXCtpA5gHnBPad8VOFvSKmA58GXbT0m6kGoZ96ISV7dsT+6i7VFJ3wSmUVUx3mD7Fy+7eE3HAZeXDxtdVWtvFT+2X5Q0jaoyc+VaxDpX0nxgvO2fSHovcEepXF0KfM72HElXlLkeoNpbteEw4HxJ/wCsR7UFwPye5q15FthF0myqj0YdWtonAf8maRmwRy3eV/Iemx0E3Gz7papi2yskfZUqCbwucLHtO3t534iIiIiIiIiIeA1o9SrgGGrKx4/mAIfY/t1Ax9MTSUttbzzQcbwSbW1t7ujoGOgwIiIiIiIiIiLeMCTNLh8+79brYQl89ANJOwP3Abe8HpKfERERERERERERr8SgXwIf/cP2XcAOAx1Hb7xeqz8jIiIiIiIiImLgpAI0IiIiIiIiIiIi3rCGdAJUkiX9pHY+TNJiSdcNZFx9QdIp5fneVWv7emnrcW+EtZxjaR/cYydJ82r/PS3p+NL3F5J+Kel35fetXVy/T/3vJek7kqZKWr8PYptYtgpA0t+/2vtFRERERERERMRrb0gnQKm+Kj5S0gbl/CPAw725gSqD9T12AuNr5wcDdw1QLF2y/VvbY2yPAcYBzwFTSvdJVHuU7gjcUs5bknQy8AHgQNsv9EFsXypbBQAkARoRERERERER8To0WBN3r6UbgY+X4wnATxsdpYryhNr5Qkkjyn93SzqP6ivq20o6X1KHpDslfbt2zSJJZ0i6o/SPLRWKv5d0TBmzsaRbJM2R1CnpgNK+kaTrJc0vcx9a2r8laVZpu0CSWjzb1UDjXjsAS4DFtdgmlPkWSjqr1r5U0ull3hmStizt25fnmCXptNr4VvGfJum42rjTJR3bzd/iQ8DvbT9Qzg8AflyOfwwc2OpCSX8HfAz4a9vLau9+83LcJml6OT5F0o8l3VzGfErS90rsN0lar4ybXq47E9igVKheVvo+J+m/S9u/S1q3m+eKiIiIiIiIiIgBkgQoTAbGSxoOjAJmruV1OwGX2N6tJOxOtt1W7rG3pFG1sQ/a3gO4DZhEVYn5fuDU0v88cJDtscC+wA9KUvOjwCO2R9seCdxUxp9ru720bQB8okWMTwMPShpJldy9otEhaWvgLOCDwBigXVIjwbgRMMP2aOBW4KjSfg5wvu124I+1eVrFfxFwRJlvHapq1Mtav1LGU0tAA1vafhSg/L6txXUfAI4B9re9tsvy30mV+D4AuBSYZntXYBmrE+KUuU8ClpVK1cMkvRc4FPhAqVxdCRzWPIGko0vSu2Px4sXN3RERERERERER8RoY8glQ2wuAEVQJwht6cekDtmfUzj8jaQ4wF9gF2LnWd0357QRm2n7G9mLgeUlvAQScIWkB8CtgG2DLMv7Dks6StKftJeU++0qaKamTKoG5SzdxTqZKLB7I6qXlAO3AdNuLba+gSkzuVfpeBBr7as6mej9QJRobCcqX9k5tFb/tRcCTknYD9gPm2n6yqyAlvQn4JHBlN8/Syn0lhv16cc2NtpdTveN1WZ1c7mT187byIarl+rMkzSvnOzQPsn2B7TbbbVtssUUvQouIiIiIiIiIiL4ybKADGCSuAb4P7ANsVmtfwZpJ4uG142cbB5K2B04A2m3/WdKkprGN/ShX1Y4b58Ooqge3AMbZXi5pETDc9r2SxlEt7f6upJuB7wHnAW22H5R0StNcza4FzgY6bD9dWy3fatk8wHLbLscrWfPfibsY32X8pW8icCTwduDibubcH5hj+7Fa22OStrL9qKStgMdbXPtYieEWSU/anlba63+/5nf0AoDtVZLqz9v4m3RHwI9tf7OHcRERERERERERMcCGfAVocTFwqu3OpvZFwFgASWOB7Vtc/2aqhOiSsl/m/r2cf1Pg8ZI83BfYrsy5NfCc7UupErRjWZ3Ie0LSxlTL6Vsq+2F+Azi9qWsm1VL9zcv+lROAX/cQ5+2s/qhSfcl3l/EXU6iW8rcDU7u59xr7rxbXUJbQl99ftLrY9r3Ap4BLJY0pzYuoKjUBPt3N3GtjeWNvUKoPMh0s6W3w0tfqt2t9aUREREREREREDJRUgAK2H6La37LZVcDhZZnzLODeFtfPlzQXuBO4nypR2BuXAddK6gDmAfeU9l2BsyWtApYDX7b9lKQLqZZqLypxdcv25C7aHpX0TWAaVUXjDbZbJhiL44DLy4eNrlqL+LH9oqRpwFO2V3Z1U0kbAh8B/qap60zgPyV9Efgf4JDugrM9S9LngWtKIvbbwEWS/p6139u1lQuABZLmlH1A/wG4uextuhz4CvBAt3eIiIiIiIiIiIjXnFav/I3oeyVBOAc4xPbvBjqegdLW1uaOjo6BDiMiIiIiIiIi4g1D0uzyUfJuZQl89BtJO1N9oOiWoZz8jIiIiIiIiIiIgZMl8NFvbN9FF19HH4o6H17CiJOuH+gwIiKiny068+MDHUJERERERDRJBWhERERERERERES8YQ3ZBKgkS/pJ7XyYpMWSrhvIuPqCpFPK872r1vb10tbjvghrOcfSPrrPyZLulLRA0jxJ7yvtE8sS+ldyzxGSFvZBbLeVmOZJekTS1aVdkn4k6b4S99hXO1dERERERERERPSPobwE/llgpKQNbC+j+gr5w725gSRRfUhqVX8E+Cp1AuOB75Tzg4G7Bi6cl5O0B/AJYKztFyRtDrwJwPaXBjS4KoY9G8eSrgJ+UU73B3Ys/70POL/8RkRERERERETEIDNkK0CLG4HGZl0TgJ82OkoV5Qm184WlsnCEpLslnUf1dfNtJZ0vqaNUMn67ds0iSWdIuqP0j5U0VdLvJR1Txmws6RZJcyR1SjqgtG8k6XpJ88vch5b2b0maVdouKEnYrlwNNO61A7AEWFyLbUKZb6Gks2rtSyWdXuadIWnL0r59eY5Zkk6rjW8V/2mSjquNO13SsU0xbgU8YfsFANtP2H6kjJ/eqFbtJqZ3lvNZkk7tqipV0rqSzi5jFkj6m9K+laRbS3XnQkl7Nl9bu8cmwAfLO6W810tcmQG8RdJWra6PiIiIiIiIiIiBM9QToJOB8ZKGA6OAmWt53U5UCbDdbD8AnGy7rdxjb0mjamMftL0HcBswiaoS8/3AqaX/eeAg22OBfYEflKTmR4FHbI+2PRK4qYw/13Z7aduAqoKyK08DD0oaSZXcvaLRIWlr4CyqpN4YoF3SgaV7I2CG7dHArcBRpf0c4Hzb7cAfa/O0iv8i4Igy3zpU1aiXNcV4M1UC+V5J50nau8WzdBfTOSWmR1pc+0VgSRnTDhwlaXvgs8BU22OA0cC8FtcDHET1Jfuny/k2wIO1/odK2xokHV0S3x0rn1vSze0jIiIiIiIiIqK/DOkEqO0FwAiqBOENvbj0gVL51/AZSXOAucAuQH3vymvKbycw0/YzthcDz0t6CyDgDEkLgF9RJdK2LOM/LOksSXvabmTQ9pU0U1InVQJzl27inEyVeDwQmFJrbwem215sewVVYnKv0vci0NgHdTbV+wH4AKsrZF/aO7VV/LYXAU9K2g3YD5hr+8l6cLaXAuOAo6mqU6+QdGQXz9Eqpj2AK8vx5S3ewX7A4ZLmUSW4N6Nauj4L+LykU4BdbT/T4npoqg4uz9zML2uwL7DdZrtt3Q037eb2ERERERERERHRX4byHqAN1wDfB/ahSo41rGDNBPHwD6qmrwAAIABJREFU2vGzjYNSTXgC0G77z5ImNY19ofyuqh03zocBhwFbAONsL5e0CBhu+15J44CPAd+VdDPwPeA8oM32gyV5V5+r2bXA2UCH7adrq+VbLZsHWG67kcxbyZr/Rl6W5GsVf+mbCBwJvB24uKvJbK8EpgPTS1L3CKpK2bWNqScCvmZ76ss6pL2otkD4iaSzbV/SxZjNgN2pqkAbHgK2rZ2/g9YVqBERERERERERMYCGdAVocTFwqu3OpvZFwFgAVV/53r7F9W+mSoguKXtT7t/L+TcFHi/Jw32B7cqcWwPP2b6UKkE7ltWJxSckbUy1nL6l8nGnbwCnN3XNpFqqv7mkdakqHH/dQ5y3U1WTQpX07Db+YgrVUv52oKsE5E6Sdqw1jQEe6CGOuhnAp8vx+BZjpgJflrRemfPdZX/V7UrcF1It12/1JfdDgOtsP19ru4aqqlSS3k+1xP7RXsQdERERERERERGvkSFfAWr7Iaq9JJtdxeql07OAe1tcP1/SXOBO4H6qRGFvXAZcK6mDah/Ke0r7rsDZklYBy4Ev235K0oVUy+MXlbi6ZXtyF22PSvomMI2qQvIG27942cVrOg64vHzY6Kq1iB/bL0qaBjxVKj2bbQz8S9kKYAVwH9Vy+LV1PHCppL8Drqf60FOziVRL5ueUvUkXU20JsA9woqTlwFLg8BZzjAfObGq7gaoy9z7gOeDzvYg5IiIiIiIiIiJeQ1q9sjiib5WPH80BDrH9u364/4bAMtuWNB6YYPuAvp6nL7S1tbmjo2Ogw4iIiIiIiIiIeMOQNLt8mLxbQ74CNPqHpJ2pPlw0pT+Sn8U44NxS2fkU8IV+miciIiIiIiIiIl6nUgEa8RpYf6sdvdUR/zzQYbxuLDrz4wMdQkREREREREQMcmtbAZqPIA1hklZKmlf7b4SkNkk/Kv1HSjq3HB9Yqjob106X1OM/sG7m3l3SrZJ+K+keSRPLkvZ+JekUSSf0IsbGu5kv6aBa33GSFkq6U9Lx/RdxRERERERERES8GlkCP7Qtsz2mqW0R0NVmlQdSLWm/69VOKmlL4EpgvO07yhL2TwObUH1UaLBYCLTZXiFpK2C+pGuB9wBHAbsDLwI3Sbq+H5f6R0RERERERETEK5QK0FiDpH0kXdfU9pfAJ6m+Sj9P0jtL1yGS/lvSvZL2LGNvkzSmdu3tkkY1TfMV4Me27wBw5We2HytVl7+RNLf87lTus0uZa56kBZJ2LBWrC2tznSDplHJ8lKRZpXLzqq6qSyUdK+mucr/Jzf22n7O9opwOBxr7RbwXmFHr/zVwUPP1EREREREREREx8JIAHdo2qC3xntJqkO3fANcAJ9oeY/v3pWuY7d2B44F/Km0TgSMBJL0bWN/2gqZbjgRmt5juHmAv27sB3wLOKO3HAOeUitU24KEenu3nttttjwbuBr7YxZiTgN1sjyr3fxlJ75N0J9AJHFMSnguBvSRtVhKrHwO27SGeiIiIiIiIiIgYAFkCP7R1tQS+N35efmcDI8rxlcA/SjqR6qvsk3p5z02BH0vakaricr3SfgdwsqR3UCU3f1etnG9ppKTvAG8BNgamdjFmAXCZpKuBq7u6ie2ZwC6S3lviutH23ZLOAn4JLAXmAyuar5V0NHA0wLpv3qKHx46IiIiIiIiIiP6QCtB4NV4ovyspyXTbz1ElBg8APgNc3sV1dwLjWtzzNGCa7ZHAX1MtPcf25VTL8JcBUyV9kCrpWP83PLx2PAn4qu1dgW839TV8HPjXEstsSS3/BwHbdwPPUlWvYvsi22Nt7wX8CXjZ/p+2L7DdZrtt3Q03bXXriIiIiIiIiIjoR0mAxtp6huojRWtjIvAjYJbtP3XRfy5whKT3NRokfU7S26kqQB8uzUfW+ncA7rf9I6rl+KOAx4C3laXo6wOfqM2xCfCopPWAw5oDkLQOsK3tacD/ZXWlaH3M9o2kqKTtgJ2oPhKFpLeV3/8FfAr4ac+vJSIiIiIiIiIiXmtZAh9razJwoaRjgYO7G2h7tqSngf9o0f+YpPHA90sicRVwK9WS+u9RLTX/W+D/1S47FPicpOXAH4FTbS+XdCowE/gD1f6hDf9Y2h+g2r+zOXm7LnCppE0BAT+0/VTTmL8CTipzrgL+P9tPlL6rJG0GLAe+YvvP3b2TiIiIiIiIiIgYGLLd86iIXpC0NTAdeI/tVQMczqCw/lY7eqsj/nmgw3jdWHTmxwc6hIiIiIiIiIgY5CTNtt3W07hUgEafknQ4cDrwt0l+rrbrNpvSkaReRERERERERMRrLgnQ6FO2LwEuGeg4IiIiIiIiIiIiIB9BioiIiIiIiIiIiDewIZsAlWRJP6mdD5O0WNJ1AxlXX5B0Snm+d9Xavl7aetwXYS3nWNpH9zlZ0p2SFkia1/gyvKSJknZ+hfccIWlhH8QmSadLulfS3eUDUEh6q6QpJeb/ljTy1c4VERERERERERH9YygvgX8WGClpA9vLgI8AD/fmBpJE9SGpwbjXZScwHvhOOT8YuGvgwnk5SXsAnwDG2n5B0ubAmwBsf2lAg6scCWxL+ZhT+WI9wN8D82wfJOk9wL8CHxqgGCMiIiIiIiIiohtDtgK0uBFofJlmAvDTRkepojyhdr6wVBaOKNWA5wFzgG0lnS+po1Qyfrt2zSJJZ0i6o/SPlTRV0u8lHVPGbCzpFklzJHVKOqC0byTpeknzy9yHlvZvSZpV2i4oSdiuXA007rUDsARYXIttQplvoaSzau1LS9XjfEkzJG1Z2rcvzzFL0mm18a3iP03ScbVxpzcqKGu2Ap6w/QKA7SdsP1LGT29Uq3YT0zvL+SxJp3ZVlSppXUlnlzELJP1Nad9K0q2l6nShpD27eIdfBk5tJLhtP17adwZuKW33ACMaMUVERERERERExOAy1BOgk4HxkoYDo4CZa3ndTsAltnez/QBwsu22co+9JY2qjX3Q9h7AbcAkqkrM9wOnlv7ngYNsjwX2BX5QkpofBR6xPdr2SOCmMv5c2+2lbQOqCsquPA08WJZnTwCuaHRI2ho4C/ggMAZol3Rg6d4ImGF7NHArcFRpPwc433Y78MfaPK3ivwg4osy3DlU16mVNMd5MlUC+V9J5kvZu8SzdxXROiemRFtd+EVhSxrQDR0naHvgsMNX2GGA0MK+La98JHFqS1zdK2rG0zwc+VZ5td2A74B0t5o+IiIiIiIiIiAE0pBOgthcAI6gShDf04tIHbM+onX9G0hxgLrALVYVgwzXltxOYafsZ24uB5yW9BRBwhqQFwK+AbYAty/gPSzpL0p62l5T77CtppqROqgTmLt3EOZkq8XggMKXW3g5Mt73Y9gqqxORepe9FoLEP6myq9wPwAVZXyL60d2qr+G0vAp6UtBuwHzDX9pP14GwvBcYBR1NVp14h6cgunqNVTHsAV5bjy1u8g/2AwyXNo0pwbwbsCMwCPi/pFGBX2890ce36wPMluX0hcHFpPxN4a7nn16j+7iuaL5Z0dEmedixevLi5OyIiIiIiIiIiXgNDeQ/QhmuA7wP7UCXHGlawZoJ4eO342cZBqSY8AWi3/WdJk5rGvlB+V9WOG+fDgMOALYBxtpdLWgQMt32vpHHAx4DvSroZ+B5wHtBm+8GSvKvP1exa4Gygw/bTtdXyrZbNAyy37XK8kjX/jbiL8V3GX/omUu2j+XZWJw/XYHslMB2YXpK6R1BVyq5tTD0R8DXbU1/WIe1FtQXCTySdbfuSpiEPAVeV4ynAf5SYnwY+X+4h4A/lv+ZnuwC4AKCtra2rdxcREREREREREf1sSFeAFhdT7fPY2dS+CBgLIGkssH2L699MlRBdUvaB3L+X828KPF6Sh/tSLaduLFN/zvalVAnasaxOLD4haWOq5fQtlY87fQM4valrJtVS/c0lrUtVAfvrHuK8naqaFKqkZ7fxF1OolvK3A10lIHeqLSuHajn+Az3EUTcD+HQ5Ht9izFTgy5LWK3O+u+yvul2J+0Kq5fpju7j2aqoqW4C9gXvLPd4i6U2l/UvArSUpGhERERERERERg8yQrwC1/RDVXpLNrmL10ulZlORXF9fPlzQXuBO4nypR2BuXAddK6qDah/Ke0r4rcLakVcBy4Mu2n5J0IdXy+EUlrm7ZntxF26OSvglMo6qQvMH2L3q41XHA5eXDRlfV2lvFj+0XJU0DniqVns02Bv6lbAWwAriPajn82joeuFTS3wHXU33oqdlEqiXzc0q15mKqLQH2AU6UtBxYChzexbVnApdJ+noZ0/gy/XuBSyStBO6i2mc0IiIiIiIiIiIGIa1eWRzRt8rHj+YAh9j+XT/cf0NgmW1LGg9MsH1AX8/TF9ra2tzR0THQYUREREREREREvGFIml2+3dKtIV8BGv1D0s5UHy6a0h/Jz2IccG6p7HwK+EI/zRMREREREREREa9TSYBGv7B9F7BDP89xGzC6P+eIiIiIiIiIiIjXtyRAI14DnQ8vYcRJ1w90GBEBLDrz4wMdQkRERERERLyGBu1X4CVZ0k9q58MkLZZ03UDG1RcknVKe7121tq+Xth73LVjLOZb20X1WSponaaGka8sHi3pz/SmSTuiLWLqZ40hJW9fOJ5Yl+H1x733K898p6de19uPKO7lT0vF9MVdERERERERERPS9QZsABZ4FRkraoJx/BHi4NzdQZbA+YycwvnZ+MNUXxQebZbbH2B4J/An4ykAH1IUjgZcSoLa/VJbgvyol2Xse8EnbuwCHlPaRwFHA7lRL8D8hacdXO19ERERERERERPS9wZocbLgRaKxVnAD8tNHRXFlYqvFGlP/ulnQe1RfIt5V0vqSOUq337do1iySdIemO0j9W0lRJv5d0TBmzsaRbJM2R1CnpgNK+kaTrJc0vcx9a2r8laVZpu6B8oKcrVwONe+0ALAEW12KbUOZbKOmsWvtSSaeXeWdI2rK0b1+eY5ak02rjW8V/mqTjauNOl3RsD3+PO4BtatecWOZb0PReT5b0W0m/Anaqtb9T0k2SZku6TdJ7Svuk8jeaJul+SXtLurj8HSc1PfsPyrPcImkLSQcDbcBlpVJzA0nTG5W0vX2PTT4L/Nz2/wDYfry0vxeYYfs52yuAXwMH9fDuIiIiIiIiIiJiAAz2BOhkYLyk4cAoYOZaXrcTcInt3Ww/AJxsu63cY29Jo2pjH7S9B3AbMImqEvP9wKml/3ngINtjgX2BH5Sk5keBR2yPLtWRN5Xx59puL20bAJ9oEePTwIOlmnACcEWjoyznPgv4IDAGaJd0YOneiCr5Nhq4laoSEeAc4Hzb7cAfa/O0iv8i4Igy3zpU1aiXtXqhktYFPgRcU873A3akqoIcA4yTtJekceVeuwGfAtprt7kA+JrtccAJVNWVDW8tz/t14Frgh8AuwK6SxtSefU55ll8D/2T7Z0AHcFipVF32Kt9j3buBt5aE6mxJh5f2hcBekjaTtCHwMWDbVu8uIiIiIiIiIiIGzqBOgNpeAIygShDe0ItLH7A9o3b+GUlzgLlUSbX6/pDXlN9OYKbtZ2wvBp4vS6AFnCFpAfArqgrILcv4D0s6S9KetpeU++wraaakTqrE2y7dxDmZKll4IDCl1t4OTLe9uFQYXgbsVfpeBBr7oM6mej8AH2B1hexLe6e2it/2IuBJSbsB+wFzbT/ZRYwbSJoHPAn8BfDL0r5f4zqqStv3UCVE9wSmlOrIp1mdMN0Y+EvgynK/fwe2qs1zrW1TvdfHbHfaXgXcWXvGVaxOFF8K/FUX8da9kvdYNwwYR1WF/L+Bf5T0btt3UyVWf0mV+J4PrGi+WNLRpbK4Y+VzS5q7IyIiIiIiIiLiNTCoE6DFNcD3qS1/L1awZvzDa8fPNg4kbU9Vbfgh26OA65vGvlB+V9WOG+fDgMOALYBxtscAjwHDbd9LlRzrBL5blr4Pp6pqPNj2rsCFTXM1uxb4P8D/lGThS2F3c83ykigEWFlibHAX47uMv/RNpNo/8/PAxS3mW1au2w54E6v3ABXw3VJ1Ocb2u2xf1E0c6wBP1caPsf3eWn9Pf4eudDVP3St9jw0PATfZftb2E1SVoqMBbF9ke6ztvaj2Rv3dy4KzL7DdZrtt3Q037SHUiIiIiIiIiIjoD6+HBOjFwKm2O5vaFwFjASSNBbZvcf2bqRKiS8o+j/v3cv5NgcdtL5e0L1UisLG8+jnbl1IlaMeyOrH4RKl4PLi7G5fl2t8ATm/qmkm1VH/zsvR8AtWS7+7czuqPKh3WU/zFFKql/O3A1B5iXQIcC5wgab0y/gvlOZG0jaS3USUJDyp7cW4C/HW5/mngD5IaHxKSpNE9PFOzdVj9Tj8L/Fc5fgbYpIvxr+Q91v0C2FPSsLLU/X3A3SX+t5Xf/0W11L85QR8REREREREREYNAq8q6QcP2Q1T7Wza7Cji8LKeeBdzb4vr5kuZSLaW+nypR2BuXAddK6gDmAfeU9l2BsyWtApYDX7b9lKQLqapCF5W4umV7chdtj0r6JjCNqorxBtu/6OFWxwGXlw8bXbUW8WP7RUnTqCozV65FrHMlzQfG2/6JpPcCd1RbirIU+JztOZKuKHM9QLW3asNhwPmS/gFYj2oLgPk9zVvzLLCLpNlUH406tLRPAv5N0jJgj1q8r+Q91p/3bkk3AQuoKlEn2l5Yuq+StBnV3/4rtv/ci+eIiIiIiIiIiIjXiFavAo6hpnz8aA5wiO2XLeEebCQttb3xQMfxSrS1tbmjo2Ogw4iIiIiIiIiIeMOQNLt8+Lxbr4cl8NEPJO0M3Afc8npIfkZERERERERERLwSg34JfPQP23cBOwx0HL3xeq3+jIiIiIiIiIiIgZMK0IiIiIiIiIiIiHjDGtIJUEmW9JPa+TBJiyVdN5Bx9QVJp5Tne1et7eulrce9EdZyjqV9dJ+3SPqZpHsk3S1pj9I+WtIdkjolXSvpzV1cO0LSwtr5UZLmSHprH8R1qqQPl+Pjy5fgIyIiIiIiIiLidWRIJ0Cpvio+UtIG5fwjwMO9uYEqg/U9dgLja+cHA3cNUCzdOQe4yfZ7gNHA3aV9InCS7V2BKcCJ3d1E0v8Bvgbs1xdfZbf9Ldu/KqfHA0mARkRERERERES8zgzWxN1r6Ubg4+V4AvDTRkepojyhdr6wVByOKJWK51F9RX1bSedL6pB0p6Rv165ZJOmMUsnYIWmspKmSfi/pmDJmY0m3lMrFTkkHlPaNJF0vaX6Z+9DS/i1Js0rbBZLU4tmuBhr32gFYAiyuxTahzLdQ0lm19qWSTi/zzpC0ZWnfvjzHLEmn1ca3iv80ScfVxp0u6dh6gKWqcy/gIgDbL9p+qnTvBNxajn8JfLrFcyLpM8BJVMnPJ0rb9Ea1q6TNJS0qx0dKurpUlf5B0lcl/a2kueV5/6KMmyTp4BLz1sA0SdNK337lXcyRdKWk7E8aERERERERETEIJQEKk4HxkoYDo4CZa3ndTsAltnez/QBwsu22co+9JY2qjX3Q9h7AbcAkqkrM9wOnlv7ngYNsjwX2BX5QkpofBR6xPdr2SOCmMv5c2+2lbQPgEy1ifBp4UNJIquTuFY0OSVsDZwEfBMYA7ZIOLN0bATNsj6ZKQB5V2s8BzrfdDvyxNk+r+C8CjijzrUNVjXpZU4w7UCVl/6MkICdK2qj0LQQ+WY4PAbZt8ZzbAedSJT//2GJMs5HAZ4HdgdOB52zvBtwBHF4faPtHwCPAvrb3lbQ58A/Ah8szdwB/2zyBpKNL0rtj8eLFzd0REREREREREfEaGPIJUNsLgBFUCcIbenHpA7Zn1M4/I2kOMBfYBdi51ndN+e0EZtp+xvZi4HlJbwEEnCFpAfArYBtgyzL+w5LOkrSn7SXlPvtKmimpkyqBuUs3cU6mSjweSLWMvKEdmG57se0VVInJvUrfi0BjH9TZVO8H4AOsrpB9ae/UVvHbXgQ8KWk3YD9gru0nm+IbBoylSqzuRrUtwUml7wvAVyTNBjYpcXVlMfA/wGdav4aXmVb7OywBri3tnbXnbeX9VH/f2yXNo0rybtc8yPYFtttst22xxRa9CC0iIiIiIiIiIvrKsIEOYJC4Bvg+sA+wWa19BWsmiYfXjp9tHEjaHjgBaLf9Z0mTmsa+UH5X1Y4b58OAw4AtgHG2l5el2sNt3ytpHPAx4LuSbga+B5wHtNl+UNIpTXM1uxY4G+iw/XRttXyrZfMAy227HK9kzX8n7mJ8l/GXvonAkcDbgYu7uPYh4CHbjcrbn1ESoLbvoUqcIundrN6qoNlzwP7Af0l63HajyrT+92t+R81/h/rfqKf/uxDwS9sTehgXEREREREREREDbMhXgBYXA6fa7mxqX0RVnYikscD2La5/M1VCdEnZL3P/Xs6/KfB4SR7uS6kmLMvUn7N9KVWCdiyrE3lPlH0nD+7uxraXAd+gWuZdN5Nqqf7mktalqoD9dQ9x3s7qjyod1lP8xRSqpfztwNQu4vsj1TL9nUrThygfapL0tvK7DtWS83/r5jkXl3nOkPS/S/MiYFw57vY9rYVnqKpQAWYAH5D0rhLfhiVBGxERERERERERg0wqQAHbD1Htb9nsKuDwssx5FnBvi+vnS5oL3AncT5Uo7I3LgGsldQDzgHtK+67A2ZJWAcuBL9t+StKFVEu1F5W4umV7chdtj0r6JjCNqqLxBtu/6OFWxwGXlw8bXbUW8WP7xfLhoKdsr2xx368Bl0l6E9X7+3xpnyDpK+X458B/9PCcf5D0SeAGSZ+iShr/p6qvw/+/Hp6tJxcAN0p6tOwDeiTwU0nrl/5/oMW/j4iIiIiIiIiIGDhavdI5ou+V6s05wCG2fzfQ8QyUtrY2d3R0DHQYERERERERERFvGJJml4+SdytL4KPfSNoZuA+4ZSgnPyMiIiIiIiIiYuBkCXz0G9t3ATsMdBwRERERERERETF0JQEa8RrofHgJI066fqDDiAhg0ZkfH+gQIiIiIiIi4jWUJfBDmKSVkubV/hshqU3Sj0r/kZLOLccHliXtjWunS+pxj4Vu5t5d0q2SfivpHkkTJW346p+qx3lPkXRCL2JsvJv5kg6q9X1d0p2SFkr6qaTh/Rd1RERERERERES8UqkAHdqW2R7T1LYI6OprPQcC1wF3vdpJJW0JXAmMt32HJAGfBjYBnnu19+9DC4E22yskbQXMl3QtsCVwLLCz7WWS/hMYD0wauFAjIiIiIiIiIqIrqQCNNUjaR9J1TW1/CXwSOLtUQ76zdB0i6b8l3StpzzL2NkljatfeLmlU0zRfAX5s+w4AV35m+7FSdfkbSXPL707lPruUueZJWiBpx1KxurA21wmSTinHR0maVSo3r+qqulTSsZLuKveb3Nxv+znbK8rpcMC17mHABpKGARsCj/T0biMiIiIiIiIi4rWXBOjQtkFtifeUVoNs/wa4BjjR9hjbvy9dw2zvDhwP/FNpmwgcCSDp3cD6thc03XIkMLvFdPcAe9neDfgWcEZpPwY4p1SstgEP9fBsP7fdbns0cDfwxS7GnATsZntUuf/LSHqfpDuBTuAY2ytsPwx8H/gf4FFgie2bu7j2aEkdkjpWPrekh3AjIiIiIiIiIqI/JAE6tC0rCc0xtg/qefjL/Lz8zgZGlOMrgU9IWg/4Ar1fFr4pcGWp7PwhsEtpvwP4e0nfALazvayH+4ws1aidwGG1+/z/7d15uF5Vef7x7w1RAwQCyqAgAgpFmRLCCYMICiiioEBFgUJFWuQnTkhrK5aWMhSEgrVYCxoBEQigBREQJAwyCCUxJyHkhHkwQBgDlhAGIcP9+2OvYzaH9z1DPCdv8ub+XBdX9l577b2fvd99QXx81lp104Hxkg4G5jc4ju1JtjcHxgLfljRc0hrA3sBGwLrAKuUaPc8dZ7vDdseKK4/s67kjIiIiIiIiImIIJAEaf47Xyp8LKPPJ2n4FuJ4qQfg54KIG590NbNPkmicCN9neAvgU1dBzbF9ENQz/VWCCpF2pkpb1b7i+ENF5wFdtbwkc3+NYtz2B/y6xTCnD2RuyfS/wMlX16keB39uebXseVSL4g83OjYiIiIiIiIiI1kkCNPprLtUiRf1xNvB9YLLtPzQ4/gPgEEnbdTdIOljSO6kqQJ8ozV+oHX8v8Ijt71MNx98KeAZYW9I7JL0N2Kt2j1WBp0ol6kE9A5C0ArC+7ZuAfwRWB0b06LNRd1JU0gbAplSLRD0GbC9p5bKA025Uw+wjIiIiIiIiImIpkwRo9NclwD+UxYne11tH21OAF4GfNDn+DNWq6adLul/SvcBO5Zx/B74j6XZgxdpp+wMzJE0D3g+cX6ovTwAmUa1Qf1+t/7+U9ut7tHdbEbiwDJG/E/ie7Rd69PkQ1crv04DLgS/bfs72JOBSYCrV3KArAON6eycREREREREREdEast13r4gBkLQucDPwftsLWxzOUqGjo8OdnZ2tDiMiIiIiIiIiom1ImmK7o69+qQCNQSXp81SVl8ck+RkREREREREREa3WdNGXiMVh+3zg/FbHERERERERERERAakAjYiIiIiIiIiIiDa21CZAJVnSBbX9YZJmS/pVK+MaDJKOK8+3ca3tqNLW57wF/bzHS4N0nQWSpkmaIekqSasP8PzjJH1zMGLp5R5fKPOOdu+fLWmzQbr2R8rz3y3pllr7UaVthqSLJQ0fjPtFRERERERERMTgWmoToMDLwBaSVir7HwOeGMgFVFlan7GLaiX0bvsB97Qolt68anu07S2APwBfaXVADXwB+FMC1PZhtv/sd1mSvWcCn7a9OfDZ0r4e8HWgo7yXFXnjbxkREREREREREUuJpTU52O3XwJ5l+0Dg4u4DPSsLSyXehuWfeyWdCUwF1pd0lqTOUrF3fO2cmZJOlnRHOT5G0gRJD0v6UukzQtKNkqZK6pK0d2lfRdLVku4q996/tB8raXJpGydJTZ7tl0D3td6HXtKFAAAgAElEQVQLzAFm12I7sNxvhqRTa+0vSTqp3HeipHVK+0blOSZLOrHWv1n8J0o6stbvJElf7+P3uANYr3bOP5T7Te/xXo+RdL+kG4BNa+3vk3StpCmSfivp/aX9vPIb3STpEUkflnRu+R3P6/Hs3y3PcqOktSTtB3QA40ul5kqSbu6upB3oe+zhr4Bf2H4MwPaztWPDgJUkDQNWBp7s491FREREREREREQLLO0J0EuAA8rw4q2oVhfvj02B821vbftRqhXJO8o1Pixpq1rfx23vAPwWOI+qEnN74IRy/I/AvrbHALsA3y1JzT2AJ22PKlWA15b+P7A9trStBOzVJMYXgcclbUGV3P1Z94EynPtUYFdgNDBW0j7l8CrARNujgFuBL5b2M4CzbI8Fnq7dp1n85wCHlPutQFXBOL7ZC5W0IrAbcGXZ3x3YBNi2xLiNpJ0lbVOutTXwl8DY2mXGAV+zvQ3wTarqym5rlOc9CrgK+B6wObClpNG1Z59anuUW4F9tXwp0AgeVStVX/8z3WPcXwBoloTpF1Qr32H4COB14DHgKmGP7ugbv7PCSWO+cPXt2z8MREREREREREbEELNUJUNvTgQ2pEoTXDODUR21PrO1/TtJU4E6qpFp9fsgry59dwCTbc23PBv5YhkALOFnSdOAGqgrIdUr/j0o6VdJOtueU6+wiaZKkLqrE2+a9xHkJVbJwH+DyWvtY4Gbbs23Pp0pM7lyOvQ50z4M6her9AOzIogrZP82d2ix+2zOB5yVtDewO3Gn7+QYxriRpGvA88Hbg+tK+e/d5VJW276dKiO4EXG77FdsvsihhOgL4IPA/5Xo/At5Vu89Vtk31Xp+x3WV7IXB37RkXsihRfCHwoQbx1i3Oe6wbBmxDVYX8ceBfJP2FpDWoqnc3ohp6v4qkg3uebHuc7Q7bHWuttVYfoUZERERERERExFAY1uoA+uFKqmq7jwDvqLXP540J3PoiNC93b0jaiKracKzt/ytDqut9Xyt/Lqxtd+8PAw4C1gK2sT1P0kxguO0HSrXjJ4HvSLoO+HeqqsYO249LOq7HvXq6CjgN6LT9Ym20fLNh8wDzSqIQYAFv/A3doH/D+Muxs6nmz3wncG6T+71qe7SkkVQJw68A3y8xfsf2j+qdJX2jSRwrAC/YHt3gGPT9OzTS6D5vCKeXY729x26zgOdsvwy8LOlWYFQ59vuSKEfSL6iSuxf2EU9ERERERERERCxhS3UFaHEucILtrh7tM4ExAJLGUFXjNbIaVUJ0Tpnn8RMDvP9I4NmSPNwF2KDcc13gFdsXUiVox7AosfhcqXjcr7cLl+Ha3wJO6nFoEtVQ/TXL0PMDqYZ89+Z2Fi3Ec1Bf8ReXUw3lHwtM6CPWOVQL/3xT0ltK/78pz4mk9SStTTWcfN8yF+eqwKfK+S8Cv5fUvZCQJI1qdK9erMCid/pXwG1ley6waoP+i/Me664AdpI0TNLKwHbAvVRD37eXtHKZTmC30h4REREREREREUuZpb4C1PYsqvkte7oM+HwZTj0ZeKDJ+XdJupNqKPUjVInCgRgPXCWpE5gG3FfatwROk7QQmAccYfsFST+mGsY9s8TVK9uXNGh7StK3gZuoqhivsX1FH5c6ErioLGx0WT/ix/brkm6iqsxc0I9Y75R0F3CA7QskfQC4o1SuvgQcbHuqpJ+Vez1KNbdqt4OAsyT9M/AWqikA7urrvjUvA5tLmkK1aNT+pf084IeSXgV2qMW7OO+x/rz3SroWmE5ViXq27RkAki6lGvo/n2oagHEDeI6IiIiIiIiIiFhCtGgUcCxvyuJHU4HP2n6w1fH0RdJLtke0Oo7F0dHR4c7OzlaHERERERERERHRNiRNKQuf92pZGAIfQ0DSZsBDwI3LQvIzIiIiIiIiIiJicSz1Q+BjaNi+B3hvq+MYiGW1+jMiIiIiIiIiIlpnua4AlWRJF9T2h0maLelXrYxrMEg6rjzfxrW2o0pbn6XB/bzHS4N0ndUlXSrpPkn3StqhtI+WNFHSNEmdkrZtcO5H6r+XpH+TNEHS2wYhrrNLpSyS/unPvV5ERERERERERCx5y3UClGpRnS0krVT2PwY8MZALlNXMl9b32MWileGhWkH9nhbF0pszgGttvx8YxaIV1f8dON72aODYst+UpGOAHYF9bL/25wZl+7BSKQuQBGhERERERERExDJoaU3cLUm/BvYs2wcCF3cfKFWU36ztz5C0YfnnXklnUi0itL6ks0qV4t2Sjq+dM1PSyZLuKMfHlArFhyV9qfQZIelGSVMldUnau7SvIulqSXeVe+9f2o+VNLm0jVNZhr2BXwLd13ov1crps2uxHVjuN0PSqbX2lySdVO47UdI6pX2j8hyTJZ1Y698s/hPLqvTd/U6S9PV6gJJWA3YGzoFqZXrbL5TDBlYr2yOBJ5s8J5L+Hvgk8Cnbr9be/Zplu0PSzWX7OEk/lXRd6fOXkv69xH6tpLeUfjeX804BViqVqOPLsYMl/a60/UjSis1ii4iIiIiIiIiI1kkCFC4BDpA0HNgKmNTP8zYFzre9te1HgWPKqlNbAR+WtFWt7+O2dwB+C5xHVYm5PXBCOf5HYF/bY4BdgO+WpOYewJO2R9neAri29P+B7bGlbSVgryYxvgg8LmkLquTuz7oPSFoXOBXYFRgNjJW0Tzm8CjDR9ijgVuCLpf0M4CzbY4Gna/dpFv85wCHlfitQVaOO7xHje6mSsj+RdGcZdr5KOfYN4DRJjwOnA99u8pw7Al8CPmG7v8Py30eV+N4buBC4yfaWwKssSogDYPto4FXbo20fJOkDwP7AjqU6dQFwUD/vGxERERERERERS9BynwC1PR3YkCpBeM0ATn3U9sTa/uckTQXuBDYHNqsdu7L82QVMsj3X9mzgj5JWBwScLGk6cAOwHrBO6f9RSadK2sn2nHKdXSRNktRFlcDcvJc4L6FKPO4DXF5rHwvcbHu27flUicmdy7HXge55NadQvR+oEo3dFbJ/mju1Wfy2ZwLPS9oa2B240/bzPeIbBoyhSqxuTTUtwdHl2BHAUbbXB46iVIk28FCJYffmr+FNfm17HtU7XpFFyeWu2vM2sxuwDTBZ0rSy/6YFpSQdXqp+O2fPnt3zcERERERERERELAHLfQK0uJKqwvDiHu3zeeM7Gl7bfrl7Q9JGwDeB3WxvBVzdo2/3fJQLa9vd+8OoqgfXArYpFYXPAMNtP0CVaOsCvlOGvg8HzgT2KxWLP+5xr56uAv4aeMz2i7X2ZsPmAebZdtleUGLs5gb9G8Zfjp0NfAE4FDi3wbmzgFm2uytvL6VKiEJVPfqLsv0/wJsWQSqeoRr+/j1Ju9Ta679fz3f0GoDthbzxebt/k94I+GmpCB1te1Pbx/XsZHuc7Q7bHWuttVYfl4yIiIiIiIiIiKGQBGjlXOAE21092mdSknGSxgAbNTl/NaqE6JwyX+YnBnj/kcCztueVBN4G5Z7rAq/YvpAqQTuGRYm85ySNoBpO31SZD/NbwEk9Dk2iGqq/Zpm/8kDglj7ivJ1FiyrVh3w3jL+4nGoo/1hgQoP4nqYapr9padqNRQs1PQl8uGzvCjzYLLCSLP5L4EJJo0vzTKoEMsBn+ni2vszrnhsUuBHYT9LaAJLeLmmD5qdGRERERERERESr9FXptlywPYtqfsueLgM+X4Y5TwYeaHL+XZLuBO4GHqFKFA7EeOAqSZ3ANOC+0r4l1RyYC4F5wBG2X5D0Y6qq0Jklrl7ZvqRB21OSvg3cRFXReI3tK/q41JHARWVho8v6ET+2X5d0E/CC7QVNrvs1YLykt1K9v0NL+xeBMyQNo5pn9PA+nnOypEOBK0si9njgHEn/RP/ndm1mHDBd0tQyD+g/A9eVuU3nAV8BHv0z7xEREREREREREYNMi0b+Rgy+kiCcCnzWdtMKznbX0dHhzs7OVocREREREREREdE2JE0pi5L3KkPgY8hI2oxqgaIbl+fkZ0REREREREREtE6GwMeQsX0PDVZHj4iIiIiIiIiIWFKSAI1YArqemMOGR1/d6jAiIiIiIiIiYjk185Q9Wx1Cyyy3Q+AlWdIFtf1hkmZL+lUr4xoMko4rz7dxre2o0tbnvAj9vMdLg3SdYyTdLWm6pGmStivtZ5ch9ItzzQ0lzRiE2CTpJEkPSLpX0tdL+0hJV0m6q8R+aF/XioiIiIiIiIiI1lieK0BfBraQtJLtV4GPAU8M5AKSRLWQ1MKhCPDP1AUcAPxb2d8PuKd14byZpB2AvYAxtl+TtCbwVgDbh7U0uMoXgPWB99teKGnt0v4V4B7bn5K0FnC/pPG2X29VoBERERERERER0dhyWwFa/Brorv89ELi4+0CpovxmbX9GqSzcsFQDnkm1uvn6ks6S1FmqAY+vnTNT0smS7ijHx0iaIOlhSV8qfUZIulHSVEldkvYu7atIurpUGc6QtH9pP1bS5NI2riRhG/kl0H2t9wJzgNm12A4s95sh6dRa+0ul6vEuSRMlrVPaNyrPMVnSibX+zeI/UdKRtX4ndVdQ1rwLeM72awC2n7P9ZOl/c3e1ai8xva/sT5Z0QqOqVEkrSjqt9Jku6f+V9ndJurVUnc6QtFODd3gEcEJ3gtv2s6XdwKrl3Y8A/gDMb/I7RERERERERERECy3vCdBLgAMkDQe2Aib187xNgfNtb237UeAY2x3lGh+WtFWt7+O2dwB+C5xHVYm5PXBCOf5HYF/bY4BdgO+WxNoewJO2R9neAri29P+B7bGlbSWqCspGXgQel7QFVXL3Z90HJK0LnArsCowGxkrapxxeBZhoexRwK/DF0n4GcJbtscDTtfs0i/8c4JByvxWoqlHH94jxOqoE8gOSzpT04SbP0ltMZ5SYnmxy7t8Cc0qfscAXJW0E/BUwwfZoYBQwrcG57wP2L8nrX0vapLT/APhAuWcXcORSWgUcEREREREREbHcW64ToLanAxtSJQivGcCpj9qeWNv/nKSpwJ3A5kB97sory59dwCTbc23PBv4oaXVAwMmSpgM3AOsB65T+H5V0qqSdbM8p19lF0iRJXVQJzM17ifMSqsTjPsDltfaxwM22Z9ueT5WY3Lkcex3ongd1CtX7AdiRRRWyf5o7tVn8tmcCz0vaGtgduNP28/XgbL8EbAMcTlWd+jNJX2jwHM1i2gH4n7J9UZN3sDvweUnTqBLc7wA2ASYDh0o6DtjS9twG574N+GNJbv8YOLe0f5wqYbouVQL5B5JW63mypMNL8rRzwStzeh6OiIiIiIiIiIglYLlOgBZXAqdTG/5ezOeN72d4bfvl7o1STfhNYDfbWwFX9+j7WvlzYW27e38YcBCwFrBNqUZ8Bhhu+wGq5GAX8J0y9H04cCawn+0tqZJy9Xv1dBXw18Bjtl+stTcbNg8wz7bL9gLeOE+sG/RvGH85djbVPJqHsih5+Aa2F9i+2fa/Al8FPjPAmPoi4Gu2R5d/NrJ9ne1bqZK+TwAXSPp8g3NnAZeV7cupKnwpz/MLVx4Cfg+8v8GzjbPdYbtjxZVHDiDkiIiIiIiIiIgYLEmAVom5E2x39WifCYwBkDQG2KjJ+atRJUTnlLkpPzHA+48EnrU9T9IuwAblnusCr9i+kCpBO4ZFicXnJI2gGk7fVFnc6VvAST0OTaIaqr+mpBWpKmBv6SPO26mqSaFKevYaf3E51VD+scCEnheUtGltWDlU1ZSP9hFH3UQWJUwPaNJnAnCEpLeUe/5FmV91gxL3j6mG649pcO4vqapsAT4MPFC2HwN2K9dbh2pKhEcGEHdERERERERERCwhy/Mq8ADYnkU1l2RPl7Fo6PRkFiW/ep5/l6Q7gbupkmC3DzCE8cBVkjqphlXfV9q3BE6TtBCYBxxh+wVJP6aqCp1Z4uqV7UsatD0l6dvATVQVktfYvqKPSx0JXFQWNrqs1t4sfmy/Lukm4AXbCxpccwTwX2UqgPnAQ1TD4fvrG8CFkv6eqvK20Tjzs6mGzE8tc5POppoS4CPAP0iaB7wENKoAPQUYL+mo0qd7ZfoTgfPKNAQCvmX7uQHEHRERERERERERS4gWjSyOGFxl8aOpwGdtPzgE118ZeNW2JR0AHGh778G+z2Do6OhwZ2dnq8OIiIiIiIiIiGgbkqaUtVt6tdxXgMbQkLQZ1cJFlw9F8rPYhmoBIgEvAH8zRPeJiIiIiIiIiIhlVBKgMSRs3wO8d4jv8Vtg1FDeIyIiIiIiIiIilm1ZBCkiIiIiIiIiIiLaVq8JUEnvkDSt/PO0pCdq+29dUkEOJUkrSDq6jz5jJVnSboN432GSFpR3OUPSzyStNMBrzCoLCC1RDWK/QtJqf8b1fiJp0wH0P0zS7HL/uyX9fKDvrpdr9/ud9ufbiYiIiIiIiIiI1uo1AWr7edujbY8Gfgh8r3vf9uuLe1NJS9PQ+xWAvpJYBwK3lT/fRJXFqaadW97tlmX/i4N03SVhbvkOtqBaIf2Ixb2Q7UNt3z/A08aX+29e9vfr2WEJfGf9+XYiIiIiIiIiIqKFFju5JukfS/XfDElfK20bS5pW63O0pH8u27dJOknSrcBXJV0o6QxJ/yvpEUn7ln6rSfqNpKmSpkvaq3btGZLOLVV/50v6eDn/AUkdpd8ISedJ+p2kOyV9qrQfJulSSRMkPSjpOyXMU4BVSzXh+Q2ecwXgM8AhwCe6K19r8fyQaqXzd0nas8R9l6Tr+vsubRv4LbBxk+seLKmrtJ/c39+jtB8v6T5J15cq02/Ufo/RZfudkh4q28Mk/Ud5f9MlHdaPR7gDWK/7fZXzZ5SY9yvtH5V0o6RfSLq//q67Yyn3fkHSKeUd3iFp7d5uXJKcKwP/V/YvlPRdSTcBJ0vavlznTkm3S9qk9pzfK3FOl/TlHtddWdJ1kg4t+4eUdzJN0pnlu+j124mIiIiIiIiIiNZbrAo5SdsCBwHbAisCv5N0C/BKH6euZnvnco0LgbWBHakqIH8OXA68Cuxte25Jft1OtZo4wKbA54D7qJKDr9n+oKTPUFXi7QccC1xr+wuS1gAmSbq+nD8KGAPMBx6Q9F/lvMNKJWYjOwP32X5E0u3AHsCV5dhmwKG2vyTpncBZwE62H5X09vKc23X36eV9vqVc94oG13038G9ABzAHuEHSXrZ/VTu/2e+xMrBXee63AdOokpW9ORx41va2kt4GTJR0ne3HmsS+IrArcGZp+myJfxSwFjBZVdIbqne/GfBsue72tif2uORI4BbbR0v6D6qV3U9pcOuDJH0EWBe4G7imdux9wG62F0oaCXzI9gJJe1C9y/2pKlbXBUaVY2+vnb8q8FPgHNvjJW0B7At80PZ8SeOAA+j724mIiIiIiIiIiBZb3ArQnYDLbL9iey7wS+BD/Tjvkh77v3RlOqWCEBBwqqTpwHXA+pLWLMcesn2P7YXAPcANpb0L2LBs7w4co6oS9SZgOPCecuwG23Ntv0qVRO1u782Btbgv4Y3D4B+2Pbls7wDcZPtRANt/KH9O6iX5uWqJczLwMHBeg+tuB/zG9nO25wEXUSVl65r9Hh+iesev2X6RRYnk3uwOHFrimgSsDmzSS+zPA6tQvWvKPS+yvcD201RTB3SUYxNtP2V7AVUydsMG133V9q/L9pQmfaAMgQfeCTwA/F3t2P+Ub4QS/y8kzQBOB7qHzH8U+GGJ5U+/V/Er4Ee2x9f6jgU6yzN/mCrJ2itJh0vqlNQ5e/bsvrpHRERERERERMQQWNw5EtWkfT5vTKoOL23dXu7R/7UG1/w8VRXgmFJtN6tcp2f/hbX9hSx6FgH72H74DQFLO/c4fwF9PH+pzNwX+KSkfy3PtrqkVRo8jwD3dr0GuucArd+z0XX70qxPb+fWf6vhtXYBX7Z9Yx/3nGt7tKoFg64B/h9VFWhv9+zP+3+9H33+pFR5/opq/tTTS3P9/Z0ETLB9pqSNgWtLe2+/1+1U0x38vExPIOBc2/9S76Q+5hi1PQ4YB9DR0THQbyMiIiIiIiIiIgbB4laA3grsK2klSSOAvanmsHwaWFfSGpKGA3suxrVHUg3Bni/pYyyqDO2vCcDXu3ckbd1bZ9vzS79Gyazdgcm217e9oe33AFcBn27Q93ZgV0kblOu9vUGfxTER2EXSO0qMBwC39OjT7Pe4Dfi0pLdJWhX4ZO2cmcA2Zbu+gNAE4Mvd70PSpuplhXXbLwBHAv9QhsPfChwgaUVJ61BNcdC5OA8+AB+iqqBtZCTwRNn+Qq39OuCIEnPP3+ufqJKo3y/7NwCf665ELr/Fe/r4diIiIiIiIiIiYimwWAlQ278DLqYauj0ROMt2l+0/AieX9iuphqkP1AXAByV1Us0n+eAAzz8eWLkswHM3cFw/zjkHmN5gIZsDqeYlrbsM+KueF7D9DNW8kldIugsYD9UcoKoWNFostmdRzWt6M9Ww8Ym2r+7Rp9nvcQdVxeN04NJyfE457TTgSEn/C6xRu9yPqN75tDJs/Cz6rsKcTDWlwOfKfe4D7qJKHP6d7WcX6+F7d1BZfKiLalj7SU36nQqcVuZvrfsRVcJ+evm9Ptfj+FeBkZJOtt1F9V3dUJuaYZ3Sr9m3ExERERERERERSwFVI3yjXUkaYfulMmz/NuCQMudqLEEdHR3u7BzqQtiIiIiIiIiIiOWHpCm2O/rql6G77e8cSZtSzfN5bpKfERERERERERGxPEkCtM3Z3r/VMURERERERERERLRKEqARS0DXE3PY8Oir++4YsRhmnrI4681FRERERERELB8WdxX4Jaqsuj2t/PO0pCdq+29tdXyDQdIKko7uo89YSZa02yDed5ikBeVdzpD0s95WfW9yjVmSVh+smAZ472Ml3S1puqQ7JY0t7T8pQ/8X55obS5o2uJFGREREREREREQrLBMJUNvP2x5tezTwQ+B73fu2X1/c60pamipgVwB6TYBSrUp/W/nzTVRZnN90bnm3W5b9Lw7SdYeUpJ2A3YGtbW9VtmcB2D7U9v2tjC8iIiIiIiIiIlpvqUtqDZSkfyyVizMkfa20vaGCT9LRkv65bN8m6SRJtwJflXShpDMk/a+kRyTtW/qtJuk3kqaW6sK9ateeIencUnl4vqSPl/MfkNRR+o2QdJ6k35XKxE+V9sMkXSppgqQHJX2nhHkKsGqpxDy/wXOuAHwGOAT4RHflay2eHwJTgXdJ2rPEfZek6/r7Lm0b+C2wcZPrHiypq7Sf3N/fo7QfL+k+SdeXKtNv1H6P0WX7nZIeKtvDJP1HeX/TJR3W4HbvAmZ3J8Ftz7b9VP265TovSDqlvI87JK1d+mwiaVK5x4mSXmjwPA3jkLReuUd35ewH+/ueIyIiIiIiIiJiyVmmE6CStgUOArYFdgC+LGmrfpy6mu2dbf9n2V8b2BHYB+hOSL4K7G17DPBR4Hu18zcFTqeqmNwK2M/2B4Fvs6iK81jgWtvbArsC35U0vBwbBexXzj1Y0rrlvLmlqvXzDWLeGbjP9iPA7cAetWObAefY3hpYAJwF7Gt7FHBAeVfblWRmU5LeUq7b1eC6Av4N2AXYGtixOylcO7/h7yFpe2Cv8tyfAcb2FkdxOPBseX9jga9Iek+PPtcC75N0v6T/LhWhjYwEbinv4w7gb0r7fwGnl3s8M8A4DgauKpWzo4DpPU+UdLikTkmdC16Z049HjoiIiIiIiIiIwbZMJ0CBnYDLbL9iey7wS+BD/Tjvkh77v3RlOrBeaRNwqqTpwHXA+pLWLMcesn2P7YXAPcANpb0L2LBs7w4cUypRbwKGA90JvBtsz7X9KnBfrb03B9bivoQ3DoN/2Pbksr0DcJPtRwFs/6H8Ocn2l5pce9US52TgYeC8BtfdDviN7edszwMuokrK1jX7PT5E9Y5fs/0i8Kt+PO/uwKElrknA6sAm9Q7lWmOALwHPA5dK+usG13rV9q/L9hQW/UbbAZeV7YsGGMdk4DBJ/wpsYfulnifaHme7w3bHiiuP7McjR0RERERERETEYFua5sBcHGrSPp83JneHl7ZuL/fo/1qDa36eqnJwjO35kmaV6/Tsv7C2v5BF71TAPrYffkPA0s49zl9AH79DqczcF/hkSbitAKwuaZUGzyPAvV2vge45QOv3bHTdvjTr09u59d9qeK1dwJdt39jbDW3Pp0ow3yTpHmB/4IIe3erzxPb5vntoGoekjwB7AuMlfcf2+AFcNyIiIiIiIiIiloBlvQL0VmBfSStJGgHsTTWH5dPAupLWKMPO91yMa4+kGvo8X9LHWFQZ2l8TgK9370jaurfOJZHXbGGm3YHJtte3vaHt9wBXAZ9u0Pd2YFdJG5TrvX2AcTczEdhF0jtKjAcAt/To0+z3uA34tKS3SVoV+GTtnJnANmV7v1r7BKoh9MPKc2yqHqvTS/qApI1rTaOARwfwTL+jSixTnqeRhnGU9/u07XFUFbO9/r4REREREREREdEay3QFqO3fSbqYajgywFm2uwDKIj2TgUeohqkP1AXAVZI6qRYBenCA5x8P/KekLqpE80NUCcHenANMl9TZYx7QA4HLe/S9DDiURc8OgO1nJB0BXKGqjPNJqkWTtgMO7WUYfK9sz5J0LHAzVVXkVbav7tGnt9/jWqp5MmeW492TYp4G/EzSoVSVnN1+RDU1wLRSjfosb35/I4DvSxpJVdl5P9Wcnf31deACSd8CrqnFVNcsjt2Av5M0D3iJak7QiIiIiIiIiIhYyqha+DtiaEkaYfulMmz/NuCQMudqK2NaBXjFtiUdTLVw1GeG4l4dHR3u7OwciktHRERERERERCyXJE2x3dFXv2W6AjSWKedI2pRqns9zW538LMZSVemuAPwfVUVtRERERERERES0kSRAY4mwvX+rY+jJ9s3A6L76RURERERERETEsmtZXwQpIiIiIiIiIiIioqkkQCMiIiIiIiIiIqJtJQEaERERERERERERbawZrCgAAAYESURBVCsJ0IiIiIiIiIiIiGhbSYBGRERERERERERE20oCNCIiIiIiIiIiItpWEqARERERERERERHRtpIAjYiIiIiIiIiIiLaVBGhERERERERERES0rSRAIyIiIiIiIiIiom0lARoRERERERERERFtKwnQiIiIiIiIiIiIaFtJgEZERERERERERETbSgI0IiIiIiIiIiIi2lYSoBEREREREREREdG2kgCNiIiIiIiIiIiItpUEaERERERERERERLStJEAjIiIiIiIiIiKibSUBGhEREREREREREW0rCdCIiIiIiIiIiIhoW0mARkRERERERERERNtKAjQiIiIiIiIiIiLalmy3OoaItidpLnB/q+OItrUm8Fyrg4i2le8rhlK+rxhK+b5iqOTbiqGU7yuGUjt+XxvYXquvTsOWRCQRwf22O1odRLQnSZ35vmKo5PuKoZTvK4ZSvq8YKvm2Yijl+4qhtDx/XxkCHxEREREREREREW0rCdCIiIiIiIiIiIhoW0mARiwZ41odQLS1fF8xlPJ9xVDK9xVDKd9XDJV8WzGU8n3FUFpuv68sghQRERERERERERFtKxWgERERERERERER0baSAI0YYpL2kHS/pIckHd3qeKJ9SFpf0k2S7pV0t6QjWx1TtBdJK0q6U9KvWh1LtBdJq0u6VNJ95d9hO7Q6pmgfko4q/12cIeliScNbHVMsuySdK+lZSTNqbW+XdL2kB8ufa7Qyxlh2Nfm+Tiv/fZwu6XJJq7cyxlh2Nfq+ase+KcmS1mxFbK2QBGjEEJK0IvDfwCeAzYADJW3W2qiijcwH/t72B4Dtga/k+4pBdiRwb6uDiLZ0BnCt7fcDo8h3FoNE0nrA14EO21sAKwIHtDaqWMadB+zRo+1o4EbbmwA3lv2IxXEeb/6+rge2sL0V8ADw7SUdVLSN83jz94Wk9YGPAY8t6YBaKQnQiKG1LfCQ7Udsvw5cAuzd4piiTdh+yvbUsj2XKoGwXmujinYh6d3AnsDZrY4l2ouk1YCdgXMAbL9u+4XWRhVtZhiwkqRhwMrAky2OJ5Zhtm8F/tCjeW/gp2X7p8A+SzSoaBuNvi/b19meX3YnAu9e4oFFW2jy7y+A7wH/CCxXiwIlARoxtNYDHq/tzyIJqhgCkjYEtgYmtTaSaCP/SfUXo4WtDiTaznuB2cBPyhQLZ0tapdVBRXuw/QRwOlVVy1PAHNvXtTaqaEPr2H4Kqv9DGli7xfFE+/ob4NetDiLah6RPA0/YvqvVsSxpSYBGDC01aFuu/l+WGHqSRgCXAd+w/WKr44lln6S9gGdtT2l1LNGWhgFjgLNsbw28TIaPxiApczHuDWwErAusIung1kYVETFwko6hmvJqfKtjifYgaWXgGODYVsfSCkmARgytWcD6tf13k2FYMYgkvYUq+Tne9i9aHU+0jR2BT0uaSTV1x66SLmxtSNFGZgGzbHdXrF9KlRCNGAwfBX5ve7btecAvgA+2OKZoP89IehdA+fPZFscTbUbSIcBewEG2U0ATg+V9VP8H4V3l7/nvBqZKemdLo1pCkgCNGFqTgU0kbSTprVST8F/Z4piiTUgS1Rx699r+j1bHE+3D9rdtv9v2hlT/3vqN7VRQxaCw/TTwuKRNS9NuwD0tDCnay2PA9pJWLv+d3I0sshWD70rgkLJ9CHBFC2OJNiNpD+BbwKdtv9LqeKJ92O6yvbbtDcvf82cBY8rfzdpeEqARQ6hMXv1VYALVX75/bvvu1kYVbWRH4K+pqvOmlX8+2eqgIiL64WvAeEnTgdHAyS2OJ9pEqSy+FJgKdFH9751xLQ0qlmmSLgbuADaVNEvS3wKnAB+T9CDVSsqntDLGWHY1+b5+AKwKXF/+fv/DlgYZy6wm39dyS6mmjoiIiIiIiIiIiHaVCtCIiIiIiIiIiIhoW0mARkRERERERERERNtKAjQiIiIiIiIiIiLaVhKgERERERERERER0baSAI2IiIiIiIiIiIi2lQRoREREREREREREtK0kQCMiIiIiIiIiIqJtJQEaERERERERERERbev/A62iqDrw7ok/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# convert timestamps from strings to datetime64\n",
    "matches_df['timestamp'] = pd.to_datetime(matches_df['timestamp'])\n",
    "\n",
    "# lets sort by timestamp so we can go through the matches in chronological order\n",
    "matches_df.sort_values(\"timestamp\", ascending=True)\n",
    "\n",
    "tournaments = {}\n",
    "for index, match in matches_df.iterrows():\n",
    "    # check if tournament exists yet, make it if not\n",
    "    if match['tournament'] not in tournaments:\n",
    "        tournaments[match['tournament']] = []\n",
    "    \n",
    "    # check player1 \n",
    "    if match['player1'] not in tournaments[match['tournament']]:\n",
    "        tournaments[match['tournament']].append(match['player1'])\n",
    "    \n",
    "    # check player 2\n",
    "    if match['player2'] not in tournaments[match['tournament']]:\n",
    "        tournaments[match['tournament']].append(match['player2'])\n",
    "\n",
    "existing_players = []\n",
    "new_players_per_tournament = {}\n",
    "for tournament in tournaments:\n",
    "    new_players_per_tournament[tournament] = 0\n",
    "    for player in tournaments[tournament]:\n",
    "        if player not in existing_players:\n",
    "            existing_players.append(player)\n",
    "            new_players_per_tournament[tournament] += 1\n",
    "\n",
    "            \n",
    "x = []\n",
    "y = []\n",
    "for tournament in new_players_per_tournament:\n",
    "    x.append(tournament)\n",
    "    y.append(new_players_per_tournament[tournament])\n",
    "\n",
    "#x = [x for y, x in sorted(zip(y, x))]\n",
    "#y = [y for y, x in sorted(zip(y, x))]\n",
    "plt.rcParams[\"figure.figsize\"] = (20,10)\n",
    "new_players_by_tournament = plt.barh(x[10:], y[10:])\n",
    "plt.savefig('tourniesbynewattendies.png')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [x for y, x in sorted(zip(y, x))]\n",
    "y = [y for y, x in sorted(zip(y, x))]\n",
    "new_players_by_tournament = plt.barh(x[10:], y[10:])\n",
    "plt.savefig('tournies sorted by new attendies.png')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:machine_learning_cookbook]",
   "language": "python",
   "name": "conda-env-machine_learning_cookbook-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}