01-queens_gambit.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How has *The Queen's Gambit* impacted the popularity of online chess?\n",
    "\n",
    "**Author:** David Zhang\n",
    "\n",
    "All code for the analyses run in this jupyter notebook is publicly avaliable on [GitHub](https://github.com/dzhang32/chess). \n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[*The Queen's Gambit*](https://en.wikipedia.org/wiki/The_Queen%27s_Gambit_(miniseries)) TV show depicts Beth Harmon, a chess prodigy who struggles with drug addiction, conquer a male-dominated chess world. It's no secret that the global success of *The Queen's Gambit* has caused a [recent surge in chess interest](https://www.nytimes.com/2020/11/23/arts/television/chess-set-board-sales.html). In fact, I myself am one of the victims, having been re-inspired to pick up online chess. Inevitably, this has snowballed into a bit of an addiction, having played [375 rapid games in the last month](https://www.chess.com/games/archive?gameOwner=my_game&gameType=live&gameTypeslive%5B%5D=rapid&rated=rated&endDate%5Bdate%5D=02/01/2021&startDate%5Bdate%5D=01/01/2021&timeSort=desc) and recieving 4 chess related books for my recent birthday. I've also noticed this chess craze rippling through socierty affecting my colleagues, friends and girlfriend. Conversations regarding chess have shifted from monologues to dialogues, with several friends opening the door to their first online chess games ever. \n",
    "\n",
    "This has lead me to wonder how many other's have been bitten by *The Queen's Gambit* bug and in particular, how this would be reflected in the popularity of online chess. I expect this would be identifiable through the following metrics: \n",
    "   \n",
    "   1. An increase in the **number of new players** joining online chess websites. \n",
    "   2. An increase in the **number of games played by existing users**. \n",
    "    \n",
    "Here, I try to test these hypotheses using the [chess.com](https://www.chess.com/) data, [the internet's largest chess community with over 28 million members](https://www.chessstrategyonline.com/play-chess-online). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing modules and setting plot styles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import datetime\n",
    "from dateutil.relativedelta import relativedelta\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sns.set(rc = {\"figure.figsize\": (11.7,8.27)})\n",
    "sns.set_style(\"ticks\")\n",
    "sns.set_context(\"talk\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Number of new players\n",
    "---\n",
    "\n",
    "*The Queen's Gambit* was released on Netflix in the UK on the **23rd October 2020**. In order to see the impact of this on the number of players joining online chess, I'll use the [chess.com API](https://www.chess.com/news/view/published-data-api) to download UK player profiles that have joined within a 4 month window before or after October 23rd.\n",
    "\n",
    "To begin, let's grab the joining date of players with the UK flag. To save time here (there's >200,000 UK players and it takes ~0.5s to query each player's profile), I've **randomly selected 5000 UK players**. It's worth noting that this approach is limited |by how accurately a user's flag reflects a user's country of residence during the period following *The Queen's Gambit* release. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user</th>\n",
       "      <th>joined</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>thinman8905</td>\n",
       "      <td>2021-01-10 14:12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>johnoriel</td>\n",
       "      <td>2018-01-06 19:13:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>d1tjs</td>\n",
       "      <td>2020-11-16 12:18:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>teasingpenguin</td>\n",
       "      <td>2019-08-05 14:52:43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>69legendlol</td>\n",
       "      <td>2020-07-20 17:29:37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             user              joined\n",
       "0     thinman8905 2021-01-10 14:12:00\n",
       "1       johnoriel 2018-01-06 19:13:16\n",
       "2           d1tjs 2020-11-16 12:18:48\n",
       "3  teasingpenguin 2019-08-05 14:52:43\n",
       "4     69legendlol 2020-07-20 17:29:37"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# parse timestamps as date times\n",
    "dp = lambda x: datetime.fromtimestamp(int(x))\n",
    "\n",
    "gb_join_dates_path = [path for path in os.listdir(\"data/\") if \"GB_players_joined\" in path]\n",
    "\n",
    "gb_join_dates = pd.read_csv(\"data/\" + gb_join_dates_path[0], \n",
    "                            parse_dates = [\"joined\"], \n",
    "                            date_parser = dp)\n",
    "\n",
    "gb_join_dates.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the joining dates downloaded and formatted, I can filter for those who have joined during our window of interest, namely 4 months before and after *The Queen's Gambit* release. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##### Data wrangling #####\n",
    "\n",
    "def filter_dates_qg(join_dates, qg_date, months):\n",
    "    \n",
    "    earliest = qg_date - relativedelta(months = months)\n",
    "    latest = qg_date + relativedelta(months = months)\n",
    "    join_dates_qg = join_dates[(join_dates[\"joined\"] >= earliest) & \n",
    "                               (join_dates[\"joined\"] <= latest)].copy()\n",
    "    \n",
    "    return join_dates_qg\n",
    "\n",
    "# set the QG release date\n",
    "qg_date = datetime.strptime(\"2020-10-23\", \"%Y-%m-%d\")\n",
    "\n",
    "gb_join_dates_qg = filter_dates_qg(gb_join_dates, qg_date, 4)\n",
    "\n",
    "# get number of days between our dates for use as bins for plotting\n",
    "delta_days = (qg_date + relativedelta(months = 4)) - ((qg_date - relativedelta(months = 4)))\n",
    "delta_days = delta_days.days\n",
    "\n",
    "##### Plotting ######\n",
    "\n",
    "fig = sns.displot(data = gb_join_dates_qg, \n",
    "                  x = \"joined\", \n",
    "                  bins = delta_days, \n",
    "                  kde = True, \n",
    "                  color = \"g\")\n",
    "\n",
    "fig = fig.set(xlabel = \"Joining date\", ylabel = \"Number of users\")\n",
    "fig.fig.set_figwidth(16)\n",
    "fig.fig.set_figheight(6)\n",
    "plt.axvline(qg_date, color = 'r', linestyle = \"--\")\n",
    "\n",
    "fig.savefig(\"figs/01-joined_dates_gb.png\", dpi = 600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After *The Queen's Gambit* UK release (marked with a <span style=\"color:red\">red dashed line</span>) there's a dramatic and progressive increase in the number of user's joining chess.com (with the UK flag). Further observation would be needed to be sure, but it looks like this this explosion in user's signing up still growing to this day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##### Data wrangling #####\n",
    "\n",
    "# obtain a relative percentage of players joining before/after QG\n",
    "gb_join_dates_qg.loc[:, (\"qg\")] = [\"before\" if date <= qg_date else \"after\" for date in gb_join_dates_qg[\"joined\"]]\n",
    "gb_join_dates_qg = gb_join_dates_qg.groupby(\"qg\").count().reset_index()\n",
    "gb_join_dates_qg[\"percent\"] = (gb_join_dates_qg[\"joined\"]/gb_join_dates_qg[\"joined\"].min()) * 100\n",
    "\n",
    "##### Plotting #####\n",
    "\n",
    "fig = sns.barplot(data = gb_join_dates_qg,\n",
    "                  x = \"qg\", \n",
    "                  y = \"percent\", \n",
    "                  order = [\"before\", \"after\"],\n",
    "                  palette = \"Set1\")\n",
    "\n",
    "fig.set(xlabel = \"4 months ____ The Queen's Gambit\", \n",
    "        ylabel = \"% increase \")\n",
    "\n",
    "fig.figure.savefig(\"figs/01-joined_percent_increase_gb.png\", dpi = 600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As a consequence, in total there has been **~7x** number of people joining chess.com in the 4 month window after *The Queen's Gambit* release compared to before."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The release date of shows on Netflix varies by country. This allows us to explore whether the increase in user's joining chess.com correlates with *The Queen's Gambit* release date in that specific country. Based off the [unofficial Netflix online global search](http://unogs.com/title/80234304), I selected 3 countries with different release dates and 1 where Netflix is not available: \n",
    "\n",
    "   1. **UK**: 23rd October 2020\n",
    "   2. **Italy**: 28th November 2020\n",
    "   3. **Columbia**: 12th January 2021\n",
    "   4. **China**: Netflix unavailable\n",
    "   \n",
    "Again, 5000 players have been randomly chosen for each country and *The Queen's Gambit* release date. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gaV3HeTocr2M42di9e7cSEhJKJBqS1LBhQ91333168803TQ0OAOB/AmvVUnT/fp4OAwBMkefIk8PpkByejsQ7lbmoX3HZ2dmqVavsGqiwsDBduXLFlKAAAACqg9k7Fmn2jkWeDgOwjOFk46abbtLGjRuVm5tbYl9OTo4++OAD3XjjjaYGBwAA4M/yHHnKc+R5OgzAMoaTjQcffFDffvuthg8fri1btujQoUM6dOiQNm3apOHDh+s///mPRo4caWWsAAA/cOWnn7RrSJx2DYnTlZ9+8nQ4AAALGR6z0bNnT82YMUNz587VxIkTC7Y7nU6FhIToqaee0p133mlFjAAAf+KUHPndbp2eDQUAYC2X1tmIi4vT3XffrV27dun48eNyOp1q1KiROnfurDp16lgUIgAAgO9gdqKS8selcD+qH5eSDUmqU6eO+vTpY0UsAAAAPo/ZiUpiXEr15XKyAQAAABRWmdYcWoCqB5INAAAAuKUyrTnVvQVo9o5FstsMz9Xks0g2AAAAgCqW58iT0+b/s2QYTqccjmqadgIAAAAuYsHGqwy3bPTr10+DBg3S/fffb2U8AAA/F1Q7XDc8NrbgNQD4IwbFX2U42Th27Jhq1KhhZSwAgGogoEYNRfXo7ukwAPiR0qbWreoB6HabvaDMoIAgy8vzFYa7Ud1+++3avHmzLly4YGU8AAAAgEvyHHklWhLyB6BXZQuDJ8r0doZbNlq2bKmVK1eqe/fuatu2rSIjI2W3F81VbDabZs+ebXqQAAD/4XQ65czNlSTZAgNls9k8HBEAK1DLD8mFZOOVV14peL1z585S30OyAQCoSNZPp5Xy8BhJUoelryg06hoPRwTACtTyQ3Ih2UhNTbUyDgAAAKjqxhp4+6J63h5fZVTH1p5KrSTicDiUmZmp7Oxss+MBAACo1qqqRcDbWx68Pb7K8MdrqohLi/odO3ZMc+fO1c6dO3XlyhWtWLFCkjRv3jw99dRT6tixoyVBAgAAoPJ8pZWgOtb8+zvDycYPP/ygwYMHy2azqUuXLvr4448lSQEBATp69KhGjhypVatW6eabbzZcuMPh0OrVq/XOO+/o+PHjioyMVI8ePTR+/HiFhYVJknr16qX09PQSx+7atUv16tUzXBYAAP7OV75Q+rqqus/5U6lKcruc/Bp1efkazdWx5t/fGU425s2bp9DQUK1bt042m00fffSRJKlTp05KSkrSfffdp0WLFmnZsmWGC1+2bJleeukljRo1SrfddpvS0tL08ssv67vvvtPy5ct18eJFZWRkaNKkSerUqVORY2vXrm24HAAAqgNf+ULp66ryPvOlG77OcLLxxRdfKCEhQZGRkfr555+L7IuKitKwYcNcSjScTqeWLVumIUOGaNKkSZKkzp07q27dunr88cd18OBBXb58WU6nUz169FBMTIzhcwMA4E1ocYA7Ci8WVx2fobJaeIx2uTKzhQiuM5xsZGdnl9uaEBQUpKysLMMFX7x4Uf369VOfPn2KbL/++uslSenp6crMzFRISIiaNWtm+LwAAHgbWhzgrur+DJXWwuNKlytaiDzHpUX9tm3bpri4uBL7cnNztWHDBrVo0cJwwWFhYZo+fXqJ7Z988okk6YYbblBycrLq1KmjJ554QsnJycrLy1O3bt00bdo0NWjQwHBZAADvEVQnQjf9+emC1/A8K2t9q3ONfFXy5fuc3/Jgt1VqktQS52GAuXcxnGw88sgjevTRRzV58mT16NFDknTixAlt3bpVy5cv14EDB/TSSy+5FczevXu1dOlS9ezZUzExMUpNTVVmZqaaN2+uESNG6OjRo3r55ZcVHx+vdevWKTQ0tMjxFc2Gdf78eYWHh7sVIwDAPQEhIarX6RZPh4FCrKz1re418lXF1+9zniNPTpvTlPMwwNy7GE427rjjDj3//POaPXu2PvzwQ0nSjBkz5HQ6FRISoqeeekq9e/eudCApKSkaPXq0GjVqpFmzZkmSpk+fLqfTqXbt2km6mkzExMRo2LBh2rBhgwYPHlzp8gAAAHydGS0C5Z3bV1tLvAWtLS6uszFgwADFxsYqOTlZGRkZcjgcio6OLhjYXVlJSUl6+umn1axZMy1btqzgXG3bti3x3g4dOig8PLzUFc13795dbjmsAwIAnufMy1P2L79KkoLrRMgWEODhiADfZVaLQFnn9uXWEm9R3VtbXEo2pKtjLWJjY3X27FnZ7Xa3kgxJev3115WYmKhOnTpp8eLFBd2cLl26pE2bNqlVq1Zq2bJlwfudTqdycnLcLhcA4BlZmWeU8vAYSVKHpa8oNOoaD0eEyrBinAc16YD/cSnZ+P7777VgwQLt3LlTly9fliSFh4erR48emjBhgho2bOhS4WvXrtWcOXN01113KTExUcHBwQX7QkJCCpKQRYsWFWzfunWrrly5UmLdDQAAUHWsqKWlJh3wP4aTjW+//Vbx8fHKyclR165d1aRJEzkcDv3www/asGGDduzYoXfffVdNmjQxdL4zZ87o+eefV3R0tOLi4nTgwIEi+5s0aaIxY8Zozpw5mjVrlrp3767Dhw9r4cKF6tGjh2699VbXrhQAgCpkRT9tav7hqsqM6Sh+TPFxBw7n1WzQ1WfQ38YvWDlexp8YTjbmzp2rsLAwvf322yUSisOHDys+Pl6JiYlavHixofN9/vnnunz5sk6cOFHqdLovvPCCEhISFBYWplWrVmnt2rWKiIjQ0KFDNX78eKNhAwDgEe720y7+5c5us1PzX4qqTMB88ctl8TEdRqaZLW0cSOHnOT/ZqGw8/jJ+wcrxMv7EcLKxd+9ejR07ttSWixtvvFH333+/XnvtNcMF9+/fX/3796/wfYMGDdKgQYMMnxcAAH9Q/MsdX2pKV5UJmL98ufSX64BvMJxs1K5dW3l5ZWehNWvWLLHuBQAAMF/h7ije1KXKG2PypPzPSbJmwUTAFxhuC4yLi9Mbb7yh7777rsS+U6dO6c0332TdCwAAqog3dkfxxpg8Lc+Rx/1AtVZmy8bUqVNLbMvKylL//v3VpUsXXXfddbLZbDpx4oR27NihkJAQSwMFAKCqUSttHU/c2/yxCvkJUVW1wFTUEuVvA6f9Bb//5igz2Vi3bl2ZB23fvl3bt28vsu3SpUtasmSJJk6caFpwAAD/E1y3jtrMeb7gtTejRto6nri3+WMVHE5HlQ+0r2hsCa1C3ofPwhxlJhulrdANAIC77MHBqn1Ty4rfCENKm12oMmM6PDEOxKoafW8eO+KNrRjeGJMVzJrCF65xeQVxAADgXcqbqtSV2ntPTK1rRY2+t08R7I2tGN4YkxXMmsIXxrmUbKxfv17Jyck6ffq0HI6SH5DNZtPKlStNCw4A4H8cOTm6fOKkJKlG9G9kD/LfmtTyFK9htaomnhmRYAVPtIZUlxYYf2M42Zg/f76WLFmioKAgRUZGym73rUVtAADeIfvsz/rfCU9IkjosfUWhUdd4OCLPKF7DamVNvL/XVsMzPNEaUl1aYPyJ4WRj3bp1uv3227Vw4ULVqFHDypgAAKiWjKzubBYzaojLqmmuiusoa5xKWWNXqktNeHW8ZneUNo6De2cuw8nGhQsX1Lt3bxINAAAqyciXcKtWdy7+pcqsGuKyzuPOdZTV9at4/KWNUylr7Eplr9PbvrgbSSY8WftflQmzWUprZaTlxDyGn4QuXbroiy++sDIWAAD8nicXefOlLiil3Se67VzljTEVxkKGKMxwy8aMGTOUkJCgSZMmqWfPnoqMjJTNZivxvltuucXUAAEAgGd5aoC5t3cJKq0Lji/V6MN13vw8eivDycbJkyd1/vx5ffjhh0pKSiqx3+l0ymaz6eDBg6YGCAAAPMuTtdS+UItfuAuOFV3g4D28/Xn0RoaTjeeee07nzp3TqFGj1KxZMwUGskQHAMD/GK259OaF4wDAWxjOGI4cOaJx48bpoYcesjIeAAA8ymjNpbcvHAcA3sBwstGwYUPW1gAAuC04sp5+9/eFBa99TUUz7fjaTDxGefv4icoofE2FW6j87ToBTzL81/DBBx/UypUr9d1331kZDwDAz9kDA1Uj+jdXVw/3wS65Fc20488z8fhjf/XSrskfrxPwFMN/5VNTU2W329WvXz81btxY9evXV0BAQJH32Gw2rVy50vQgAQAojbuzJJkxy5K/1/ibdU3efp98cX0IWM/bn1tfYDjZ2L59u+x2uxo2bKicnBz997//tTIuAICfcmRn6/yhw5Kk8BY3yh4cXOlzmbEgnRn8sSbcimvy9vtk1YKK8G3e/tx6O8PJxrZt26yMo1ry1LzlAOBJ2T//ov3Tn5EkdVj6ikKjrvFwRAAAq/heZ1k/QoYMAJ5HNwkAsI7hZCM+Pt7Q+1atWlXpYAAA8AS6SQCANQwnG8ePHy+xzeFw6Oeff1ZWVpaio6PVvHlzU4Orziq7WBRdswCgJBbgAwDPcHvMRl5enrZu3arp06dr1KhRpgVW3VV2sShq5QCgJBbgAwDPcHvMRkBAgGJjY7V3717NnTtXq1evNiMueBi1gAD8QfGpTBmfAQBVy7TJpJs1a6bU1FSzTgcPo/8yAH9Q2gJ7/H0DgKpjymxU2dnZ2rBhgyIjI804HaqAFS0XtIZAYtwQ3Odtf0toDQGAynN7Nqrs7GylpaXp3LlzGj9+vGmBwVpW9F+mTzQkxg2hYiH1I9XpzTckSYG1apbY741/S2gNAYDKcWs2KunqmI3rr79e99xzj4YNG2ZaYABK5221vp7CffBdtoAABdUOd+kYPm8A8E2sIA74GG+s9fUE7kP1wucNAL6JFcT9gJV9ifP7KktF++C7W8toxvF2m72gW0NV1HZSs+obvGXMCM9LSfmfzVOdHtTPe76RJC27/JVyAqSggCA5nI5SZ44qvK00xcdU5P9dYHwFAHhemcnGokWLKnXCceP4T9UVhf+TrOyXkor6Eptx/uL/mVemlrG04+3O0pMZIzE5bU45nI5S4zDrC6e711zeOY18Hv7yhdXK6yjt2fREHMVZURNfWvwVXZPV+12R/9nk/HpOhxLnSpICRnZSVu3ggvvltDlLHFN4W1mDtQv/Hcz/u8D4CgDwPLeTDZvNVuRnkg3XWd09wKzzuztAsqzjrfhCYNY5rRgU6srn4S9dR6rqGa/oc/L1+1la/BVdk9X7PYHB2gDgO8pMNrZu3VrhwRcuXND8+fP16aefKjAwsMwZq9y1ceNGvfLKK8rIyFB0dLQeeeQR9e/f35KyPMlIl4Hi3Ydc6SZgtEuCK8w6p7stPK5OTVle17DSunNUVmWuqbTrKO0+l9Z1pPg1WcHq1gFv6QaFspX1DFT0eyVdfW4Xf7VSv6/akAEAHlJmshEdHV3ugUlJSZozZ45++ukn/e53v9Ozzz6rG2+80fQAN23apMmTJys+Pl5dunTRJ598oqeeekqhoaG68847TS/P04p3GShrf2W7CVR0/sow65zu1qC6UttZ2nuKd8Pw1DWV1wJUWheTwjFXhapopYB3K+sZqOj3Kp/D4UXNJAAAS7k8QDwjI0MzZ85UcnKyIiIiNGvWLA0cONCK2CRJ8+bNU58+fTRt2jRJUpcuXfTrr79qwYIFfplsFFeZxaRcOaa02nEzWykqc05P1dh7mtmtTvnnlMq+d0b2V6YlraxnsHALTeFzFj9/eS1dlblP5bUKVTRWoaxnsLzxE660OFampciVVtDK7nclDgZjAwDKYvh/mpycHC1evFh9+/ZVcnKy7r33Xm3atMnSRCMjI0Pp6emKjY0tsr137946evSoMjIyLCvbm1Smf7Krtfz5783/5y53z2lFTN7Oiuus6JxG95v5DJZ2ztLeW9HxrijtmIquqaJn0JWYK4qtsq2UZny27mL8BACgPIZaNr744gvNnDlTaWlpat68uZ555hl17NjR6th09OhRSdJ1111XZHvTpk0lSWlpaWrcuLHlccA3VTQdZmVrZcubDtiVVoCqqhV2dTyMq61ikv+3OpWnolaG0lpzSvscrB63ZHR/Wc9wZaehBQBUbzan01lmx/SzZ89q9uzZ+vDDDxUaGqpHH31UCQkJCgysmuU5Nm7cqEmTJmnr1q1q1KhRwfZjx44pNjZW8+fP11133VWwvaIE6Pz585Kk8HDXVq61ypXcLNkk5X8A+a9L2+bp/Z6OSZJCA0OUr6x7560xFX7vldwsj8VU2v6ytnnLZ1OZ87tyTPH3Fj6monOacU2llWM0Jl/9XZdTCsjOlSTlBQfKafN8TN54n7yhTGIiJl8v05dikkr/21+VwsPDtX37dlPPWWbW8O6772r+/Pk6f/68unfvrunTp+vaa681tfCK5OdBxafXzd9ut7ve37j4uTzJrAfK25KoqmDFL6O799FoTFX5h6Siskrb7258OZezJVn3PFYmPiuOMetzLHyeip5BT/8nZKqgq9diVdVVdfy7aBbunTm4j+bhXhrjrfepzL/zM2fOLHi9bds2bdu2rcKT2Ww2HThwwJzI9H8368KFC0W2X7x4scj+fLt37zatbF+S36JTXa/fLNxHc3AfK497Zx7uZeVx78zBfTQP99IYb71PZSYb/fv393grQP5YjfT0dLVo0aJg+7Fjx4rsBwAAAOB9ykw25syZU5VxlKpp06Zq1KiRNm/erF69ehVs/+ijj9SsWTP95je/8WB0AAAAAMpTNSO93TB27FhNnTpVERER6tatm7Zt26ZNmzZp/vz5ng4NAAAAQDm8PtkYMGCAsrOztWLFCq1du1aNGzdWYmJikVmoAAAAAHgfr082JGno0KEaOnSop8MAAAAA4ALX544FAAAAAANINgAAAABYotwVxAEAAACgsmjZAAAAAGAJkg0AAAAAliDZAAAAAGAJkg0AAAAAliDZAAAAAGAJkg0AAAAAliDZAAAAAGAJkg0AAAAAliDZAAAAAGAJkg0AAAAAliDZAAAAAGAJkg0AgFv+9a9/qUWLFvrXv/5VsO3MmTO6dOmSy+caMWKEunfvbmZ4AAAPItkAAJjqs88+05133qmzZ896OhQAgIeRbAAATLVv3z6dO3fO02EAALwAyQYAAAAAS5BsAABM8/TTT2vRokWSpB49emjEiBEF+zZv3qzhw4erQ4cOat26tbp3764XXnhB2dnZpZ7rH//4h1q0aKHPPvusxL5BgwZp4MCB1lwEAMA0JBsAANMMGTJEvXr1kiRNnTpVo0ePliStXbtWEyZMUHh4uCZPnqwpU6YoOjpay5cv19KlS0s915133qmgoCBt2rSpyPaMjAzt27dP99xzj7UXAwBwG8kGAMA07du3V4sWLSRJPXv21B/+8AdJ0ooVK9S+fXv9/e9/13333af4+Hi9/vrratiwobZs2VLquerUqaPbb79dW7duLdL6kZSUJLvdrj59+lh/QQAAt5BsAAAst2HDBi1dulQ2m61g25kzZ1S7du1yp8jt27evzp07p+Tk5IJtH374oW655RZFRUVZGjMAwH2Bng4AAOD/goKC9PXXX2vjxo06evSo0tPTdebMGUlSdHR0mcd1795dNWvW1ObNm3XHHXfo+++/16FDhzRr1qyqCh0A4AZaNgAAlvt//+//KSEhQQcPHtRNN92k8ePH6/3331fHjh3LPa5GjRrq2bNnQVeqpKQkBQUFKTY2tooiBwC4g5YNAIClTpw4oaVLl+qPf/yjXnjhhSL7MjMzKzz+nnvu0YYNG/T1119r69at6tKliyIiIqwKFwBgIlo2AACmstuv/tfidDolSb/++qsk6YYbbijyvs8++0w//PCDcnNzyz3fH/7wB9WrV09r165Vamoqs1ABgA+hZQMAYKp69epJkpYtW6auXbuqS5cu+s1vfqNXX31VWVlZatiwofbt26d169YpJCREFy9eLPd8gYGB6tOnj95++23VrFlT3bt3r4rLAACYgJYNAICp7r77bnXu3Fn/+te/NHfuXAUHB2vp0qVq3769Vq1apcTERP3nP//RtGnTNHnyZF24cEH79+8v95x9+/aVdHXAeI0aNariMgAAJrA589u5AQDwUnv37tXgwYO1dOlS/c///I+nwwEAGETLBgDA6/3jH//QNddco9tvv93ToQAAXMCYDQCA15o+fboyMjL0xRdf6Omnn1ZAQICnQwIAuICWDQCA1zpz5oz27dunIUOGKD4+3tPhAABc5NaYjZycHCUnJ8tut6tz584KDPTuhpI77rhDkrR9+3YPRwIAAAD4P8PZQXZ2tmbNmqXjx49rxYoVys7O1pAhQ5SamipJiomJ0cqVKxUZGWlZsO46f/68p0MAAMBjrpz6SSkPj5EkdVj6ikKjrvFwRAD8neFuVIsWLdKaNWt07bXXSpLWr1+vgwcPasSIEZo9e7ZOnz6tBQsWWBYoAAAAAN9iuGVj06ZNGjhwoGbNmiVJ2rJli8LDwzVlyhQFBgYqIyNDa9eutSxQAAAAAL7FcMvGjz/+qJtvvlmSdPnyZX399de67bbbCsZpXHvttTp37pwlQQIAAADwPYaTjfr16yszM1OS9Pnnnys7O1vdunUr2H/o0CFdcw19PwEAAABcZbgb1a233qqVK1cqJCREb7/9tmrUqKGePXvq3Llzeu+997RmzRoNHTrUylgBAAAA+BDDyca0adN06tQpJSYmqmbNmpo1a5Zq166tlJQUJSYm6pZbbtG4ceOsjBUAAACADzGcbOTl5en111/X2bNnFRYWpuDgYEnSTTfdpNWrV6tdu3aWBQkAANxnDw5S7datCl4DgNUML+rXrVs3DRo0SGPHjrU6Jst07NhRkrR7924PRwIAAAD4P8MDxM+ePasGDRpYGQsAAAAAP2I42ejbt69Wr16t48ePWxkPAAAAAD9heMyG3W7X0aNH1bt3bzVp0kSRkZGy24vmKjabTStXrjQ9SAAA4L6cX3/V0WUrJEnXPzhSQRERHo4IgL8znGwkJyerbt26kqSsrCydPHnSsqAAAID58q5kKXPHTklS0+FxCiLXAGAxw8nGtm3brIwDAAAAgJ8xPGajsFOnTmnv3r06f/68srOz5XA4zI4LAAAAgI9zKdlISUnRgAED1K1bNw0dOlT79+/XV199pW7duikpKcmqGAEAAAD4IMPJxr59+5SQkKCLFy/q/vvvL9geERGhwMBATZ48WZ999pklQQIAAADwPYaTjQULFqhRo0Z6//339fDDDyt/LcA2bdpow4YNiomJ0ZIlSywLFAAAAIBvMZxsfPPNNxowYIBCQ0Nls9mK7AsLC9PgwYN15MgR0wMEAAAA4JsMz0YlScHBwWXuy8rKYqA4AABezB4Sosjbbi14DQBWM5xstGvXThs3blR8fHyJfZcuXdLatWvVpk0bU4MDAADmCa4ToZZPT/F0GACqEcPdqB577DEdOHBAw4cP1/r162Wz2bRv3z6tWrVKf/zjH3X8+HGNHj3aylgBAAAA+BCbM3+ktwHJycl65plndPz48SLbGzRooBkzZig2Ntb0AM3UsWNHSdLu3bs9HAkAAADg/1xKNiTJ6XTqwIEDSk9Pl8PhUHR0tFq3bq3AQJeGf3gEyQYAoDrL/vlnHXlpoSSp+cTxCq5b18MRAfB3LmcINptNrVq1UqtWrSRJR44c0bFjxxQTE2N6cAAAwDyO7Bz98r97C14DgNUMj9lwOp1aunSppk6dKklyOBx6+OGH1a9fP91zzz0aOXKkLl68aFmgAAAAAHyL4WRj+fLlmjdvnjIzMyVJmzZt0o4dOxQbG6uxY8cqJSVFixcvtixQAAAAAL7FcDeqdevWqVevXlq48Gpfz6SkJNWoUUOJiYkKDQ3VxYsXtXnzZk2ZwpR6AAAAAFxo2cjIyFDXrl0lSTk5Odq1a5c6deqk0NBQSVJMTExBqwcAAAAAGE42ateurQsXLkiSvvzyS126dKkg+ZCk9PR01a9f3/wIAQAAAPgkw92o2rdvr7feekvR0dF69dVXFRgYqNjYWOXk5Gj79u1699131bNnT5cKz83N1e9+9ztlZWUV2V6zZk198803kqSdO3dq/vz5+u677xQZGanhw4dr5MiRLpUDAAAAoOoZTjamTZumUaNG6bHHHpPNZtOUKVPUoEEDffnll3rsscd0/fXXa8KECS4VnpaWpqysLCUmJqpZs2YF2+32qw0ue/bs0ejRo9WnTx9NmDBBKSkpeuGFF+R0OjVq1CiXygIAoLoLqBGqqNieBa8BwGouLeqXm5urAwcOKCoqSlFRUZKkX3/9VcnJybrjjjtUo0YNlwr/4IMPNGXKFO3Zs6fUYx944AFdunRJa9asKdj24osvas2aNUpOTlZwcLBL5bGoHwAAAFB1DI/ZkKTAwEC1bdu2INGQpIiICN11110uJxqSdPDgQTVp0qTUY7OysrR7927FxsYW2d67d2+dO3dOe/bscbk8AAAAAFXHcDeq/MX8ymOz2TR79mzDhR86dEjBwcEaNWqU9uzZo8DAQPXp00dTpkzRjz/+qJycHF133XVFjmnatKmkq12wfv/73xsuCwAAAEDVcmmdjfJERkaqXr16LhWempqqCxcuaNCgQRo9erT279+vhQsXKi0tTU888YQkKSwsrMgxtWrVkqSCmbEKy+8mVZbz588rPDzcpRgBAPAXWWfO6uDzf5Mk3fTnqQqJdO3/bQBwleFkIzU1tcQ2h8Oh06dPKykpSUuWLNHcuXNdKnz+/PmKiIhQixYtJEm33HKLIiMj9eSTTyo5OVnS1daS0uQPIgcAAMY4c3N18fujBa8BwGqGk43S2O12RUVFKSEhQenp6ZozZ45ef/11w8d36tSpxLZu3boV+bl4C0b+z6W1UFQ08Luilg8AAAAA5jGteeC3v/2t/vd//9fw+8+cOaO1a9cqIyOjyPYrV65IutotKyAgQOnp6UX25/9cfCwHAAAAAO9iWrLx2WefFYynMMJms+kvf/mL3nrrrSLbk5KSFBAQoM6dO6tjx4766KOPVHh23i1btig8PFytW7c2K3QAAAAAFnB7Nqrs7GwdOnRI33//veLj4w0XXK9ePcXFxenNN99UWFiYOnbsqJSUFL366quKi4tT06ZNNWbMGCUkJOjxxx/Xvffeq2+++UbLly/XpEmTKjXVLgAAAICqY3hRv5YtW5a63W63q379+rr77rs1ceJEhYSEGC48JydHb7zxht577z2dOHFCUVFRGjx4sB588MGCAeAff/yxXn75ZaWlpSkqKkpxcXEaOXKk4TIKY1E/AEB1duXUT0p5eIwkqcPSVxQadY2HIwLg71xaQdzXkWwAAKozkg0AVc2t2agAAIDvCKxVU40GDih4DQBWI9kAAKCaCAwLU9MRcZ4OA0A1wsp4AAAAACxBsgEAAADAEmUmG59++qkyMzOrMhYAAGChrMwz2v3QaO1+aLSyMs94OhwA1UCZycbkyZP16aefFvwcHx+vXbt2VUVMAADAAs68PGX9dFpZP52WMy/P0+HAw2bvWKS/frpAs3cs8nQo8GNlJhtOp1MpKSm6fPmyJOmrr77SmTPUggAAAPiDPEeeHE6H8hwknrBOmbNRxcbGat26dVq/fn3BtieffFJPPvlkmSez2Ww6cOCAqQECAAAA/mr2jkXKc+QpwB6gaV3HeToc05WZbMycOVOtWrXS4cOHlZ2drffff18dOnRQ48aNqzI+AAAAwG/ltzDJ4elIrFFmshEcHKzhw4cX/Lx+/XoNGTJEffv2rZLAAAAAPC1/PIM/1jj7IzNbCfjszWF4Ub/U1NSC15mZmTp58qSCgoIUFRWlevXqWRIcAACAJzGewbeY2UrAZ28Ol1YQ379/v/76179q3759Rba3a9dOf/7zn9WmTRtTgwMAAAD8TX4LTFBAkKdDsZzhZOPQoUMaMWKEJGnw4MGKiYmRw+HQ0aNH9cEHHyg+Pl5r1qxR8+bNLQsWAABUXmBYLTVLuL/gNQDPqE4zgRlONl566SXVqlVLq1evVnR0dJF9jz76qAYOHKhFixZpwYIFpgcJAADcF1irlqL79/N0GECZrJiZqXArQv4XfH+d+ckblbnORnG7d+/WsGHDSiQaktSwYUPdd999+vLLL00NDgAAANWHFTX+hc9ZnVoUvIXhZCM7O1u1apXd5BoWFqYrV66YEhQAAAAA32c42bjpppu0ceNG5ebmltiXk5OjDz74QDfeeKOpwQEAAPNc+ekn7RoSp11D4nTlp588HQ5g2OwdiwqmooVvMZxsPPjgg/r22281fPhwbdmyRYcOHdKhQ4e0adMmDR8+XP/5z380cuRIK2MFAADucEqOK1fkuHJFcno6GMC4/C5Q8D2GB4j37NlTM2bM0Ny5czVx4sSC7U6nUyEhIXrqqad05513WhEjAAAAAB/k0jobcXFxuvvuu7Vr1y4dP35cTqdTjRo1UufOnVWnTh2LQgQAAADgi1xKNiSpTp066tOnjxWxAAAAeB27zW7JlKy+ZPaORbLb7EwdWwnFp9612wyPYvALLicbAAAA1U3+lKlyeDoSz8hz5Mlpc8rhdFTr+1AZhafbdTgdctqq14Apkg0AAAAfZHVrS+EaeaCySDYAAAB8kNWtLSyABzMYTjYcDofs9urVxwwAAH8SVDtcNzw2tuA1gKJcac3JX/eDsSvlM5w99OvXTytXrrQyFgAAYKGAGjUU1aO7onp0V0CNGp4OB/A6rrTmsPaHMYZbNo4dO6Ya/GECAAA+ripnlmIWJ2Py75Ovq+6zlpXGcLJx++23a/PmzbrrrrsUFhZmZUwAAMAgV77cOJ1OOXNzJUm2wEDZbDbTys+f1lPy/m4lVTmzFLM4GZN/nyrD3YHsZg6Er+6zlpXGcLLRsmVLrVy5Ut27d1fbtm0VGRlZYgyHzWbT7NmzTQ8SAACUzpUvN1k/nVbKw2MkSR2WvqLQqGtMK78gDqCKuTuQnYHw1jKcbLzyyisFr3fu3Fnqe0g2AAAwhsGl8Cc8zyiL4WQjNTXVyjgAAKhWqEWFP+F5Rlkqtc6Gw+HQ2bNnVbt2bQUHB5sdEwAAqIaoHTdXVQ9WttvsDJBGCS4N+z927JjGjx+vDh06qEuXLkpJSdGuXbs0aNAg7d6926oYAQBANcBUoubyxFgExj+gOMMtGz/88IMGDx4sm82mLl266OOPP5YkBQQE6OjRoxo5cqRWrVqlm2++2XDhDodDq1ev1jvvvKPjx48rMjJSPXr00Pjx4wtmvOrVq5fS09NLHLtr1y7Vq1fPcFkAAMCzPNlyYeaMQ1YorUXAaCtB4RaF/FnByptG1oxpZouXWRXMbDnJP5c/TLfr7QwnG/PmzVNoaKjWrVsnm82mjz76SJLUqVMnJSUl6b777tOiRYu0bNkyw4UvW7ZML730kkaNGqXbbrtNaWlpevnll/Xdd99p+fLlunjxojIyMjRp0iR16tSpyLG1a9c2XA4AAPA8T9Z2e3uNe2mzirky01jxWcHKm0bWnWlmyyqzqpg5taxZ9wHlM5xsfPHFF0pISFBkZKR+/vnnIvuioqI0bNgwlxINp9OpZcuWaciQIZo0aZIkqXPnzqpbt64ef/xxHTx4UJcvX5bT6VSPHj0UExNj+NwAAKCkxV+t1O89HYRFGCvg3fxlPI63t5B5I8PJRnZ2drmtCUFBQcrKyjJc8MWLF9WvXz/16dOnyPbrr79ekpSenq7MzEyFhISoWbNmhs8LAABKdyU0QP/b7ybZZNfv60R4OhxTsZiad/PWFiVXeXsLmTdyaVG/bdu2KS4ursS+3NxcbdiwQS1atDBccFhYmKZPn15i+yeffCJJuuGGG5ScnKw6deroiSeeUHJysvLy8tStWzdNmzZNDRo0KHFsx44dyy3z/PnzCg8PNxwjAADexN3ae0dQgDKvj5TdZldASIgFEfquyoyP8NdWFKvGMlSHe4eSDCcbjzzyiB599FFNnjxZPXr0kCSdOHFCW7du1fLly3XgwAG99NJLbgWzd+9eLV26VD179lRMTIxSU1OVmZmp5s2ba8SIETp69KhefvllxcfHa926dQoNDXWrPAAAfIm31N77Y1eS/Htrd1Y88Ln4eyXj3YPyv3C7ckxVs3Isg9H77O4AdAaAew/DycYdd9yh559/XrNnz9aHH34oSZoxY4acTqdCQkL01FNPqXfv3pUOJCUlRaNHj1ajRo00a9YsSdL06dPldDrVrl07SVdbLmJiYjRs2DBt2LBBgwcPLnKOiqbfrajlAwAAf2ZzOBV8MUt2m13OvDzZAgIqdR5/70riyvVV5h74631zVUX32d3njAHg3sGlRf0GDBig2NhYJScnKyMjQw6HQ9HR0QUDuysrKSlJTz/9tJo1a6Zly5YVnKtt27Yl3tuhQweFh4ezojkAAC4KOZ+lziu+liRl3XJGoVHXmF4GXWXMb/nhnsKXubyCeFhYmGJjY3X27FnZ7Xa3kgxJev3115WYmKhOnTpp8eLFBWMqLl26pE2bNqlVq1Zq2bJlwfudTqdycnLcLhcAAFjDW7p7eYoVLT/V/Z7Cd7mUbHz//fdasGCBdu7cqcuXL0uSwsPD1aNHD02YMEENGzZ0qfC1a9dqzpw5uuuuu5SYmKjg4OCCfSEhIQVJyKJFiwq2b926VVeuXCmx7gYAAIAneGKBO3g3xoz8H8PJxrfffqv4+Hjl5OSoa9euatKkiRwOh3744Qdt2LBBO3bs0LvvvqsmTZoYOt+ZM2f0/PPPKzo6WnFxcTpw4ECR/U2aNNGYMWM0Z84czZo1S927d9fhw4e1cOFC9ejRQ7feeqtrVwoAAGARfx/HAtcxZuQqw8nG3LlzFRYWprfffrtEQnH48GHFx8crMTFRixcvNnS+zz//XJcvX9aJEydKnU73hRdeUEJCgsLCwrRq1SqtXbtWERERGjp0qMaPH280bAAAYFB+TWz+l2bGB1iH1hD/wOdYMcPJxt69ezV27NhSWy5uvPFG3X///XrttdcMF9y/f3/179+/wvcNGjRIgwYNMnxeAABQOfk1sQ6ng/EBVYDWEP/A51g+w8lG7dq1lZdX9k2sWbMm614AAODHqqIPurszL/n7zE2MBYCvMfykxsXF6Y033tB3331XYt+pU6f05ptvllj3AgAA+I88R16V1N6asb6CP9c0V9XnAJihzJaNqVOnltiWlZWl/v37q0uXLrruuutks9l04sQJ7dixQyEhIZYGCgBAdWRmf/DsWsH6enBb2Ww23Va3jvvBVcBIf3ZXrq+yq3XTClA+Xxx3UFWfrS/eG29TZrKxbt26Mg/avn27tm/fXmTbpUuXtGTJEk2cONG04AAAqK7yv0i5W0tf+IuSI9CuX39TW3abXfZC081bqXj8xb+8ubpat6vdpJgRyBizW4Oq4kt6VX22/t5SZrUykw1W6AYAwHPM+iLljV+UzOomxQB27+aNzx6qnssriAMAAO9jpMbfludQrbMXFWgL0N+2vyxngN3vBlD7Oiu6B9EVCJ7kUrKxfv16JScn6/Tp03I4SlYn2Gw2rVy50rTgAACAcRXV+IdcyNZtb30jSfr3yE66EsEskt7Iiu5BtDLAUwwnG/Pnz9eSJUsUFBSkyMhI2e0MtgIA+K/KTJ/q7pSr3lb77O814gwgB6xnONlYt26dbr/9di1cuFA1atSwMiYAADyuMuMC3B1L4I21z94Yk5kYQA5Yy3CyceHCBfXu3ZtEAwCASireSuDvLQcAYLjdsEuXLvriiy+sjAUAAL9WWiuBv7ccAKjeDLdszJgxQwkJCZo0aZJ69uypyMhI2Wy2Eu+75ZZbTA0QAABv5O74DHcw1gCArzCcbJw8eVLnz5/Xhx9+qKSkpBL7nU6nbDabDh48aGqAAAB4I0+v9cBYAwC+wHCy8dxzz+ncuXMaNWqUmjVrpsBAlugAAMAIWiGsQQsP4P0MZwxHjhzRuHHj9NBDD1kZDwAApqiom5M7U9u6OpjbW1ohssKC9e/7OyjAHqCssGC/GKDuLfcWQOkMJxsNGzZkbQ0AgM+oqJuTO1Pb+upgbmeAXZfq1lCgPVBOp0M2+f41AfBuhpONBx98UAsXLtT//M//6IYbbrAyJgAATJNfey+pwhYMX6/lz+cv3Yv8oeUFqO4MJxupqamy2+3q16+fGjdurPr16ysgIKDIe2w2m1auXGl6kAAAuMNorb0/1fKX1r3InutQxMlfFGAP0C8Nw6Ug709G/OkzAaojw8nG9u3bZbfb1bBhQ+Xk5Oi///2vlXEBAOATfKkVIfhitjq8t1+S9O+RnZRdh8leAFjL8F+Zbdu2WRkHAAA+i0HKAFA676+GAQAAAOCTDLdsxMfHG3rfqlWrKh0MAAAAAP9hONk4fvx4iW0Oh0M///yzsrKyFB0drebNm5saHACg+io8C1H+AOHCa2JUZp2M0vjSmAsA8DVuj9nIy8vT1q1bNX36dI0aNcq0wAAA1VvhWYgcTkeJNTEqs05GeWUx5gIAzOf2NBQBAQGKjY3V3r17NXfuXK1evdqMuAAAMFVl12yg5QMAKs+0v5zNmjVTamqqWacDyjR7x6KCBboAwBWVXbMhz5HHOg8AUAmmTLCdnZ2tDRs2KDIy0ozTAeXiP3wAqJwr4SH67JFbFWAPVHawnSkpAVjO7dmosrOzlZaWpnPnzmn8+PGmBQZUR2YNeIVv4zlwTeFuTvmtFq50k6pW7Dbl1AiS0x4oOU0Y7AIAFXBrNirp6piN66+/Xvfcc4+GDRtmWmBAdWTmgFf4Lp4D1+UP8M4fSE4LKAB4B1YQ93Hu1oB6ugY1f+xFdam9Let+Gx186unPyxX+8tmadc996bOD+yo7GN1q9pw81U87I7stQJnN6kjBdKQCYC1TxmzAc9ytAfV0DWp1q30s634bnXbT05+XK/zlszXrnvvSZwdzVHYwupWCL+Wo7YdXJ3P598hOyg72nkQIgH8qM9lYtKhys/2MG0eNXWUV73NMDaj31I67UitdFTEXrjW16jmp6DrcvU5v+WxxladbXjxdPgDAGm4nGzabrcjPJBuVV7zPMTWg3lM77kqtdFXFbHVNeUXX4e51estni6s83fLi6fIBANYoM9nYunVrhQdfuHBB8+fP16effqrAwMAyZ6xy18aNG/XKK68oIyND0dHReuSRR9S/f39Lyqpq5fXpLd7n1+F0lDnbSv57JZUYC1D4+OL7jcRX1jmtquX3RD9nd+9TcVXR8uAub4+vNGaMUZIq9zyX9TtWXpyFf29dicld3v7ZujNzFAvsAYBvKTPZiI6OLvfApKQkzZkzRz/99JN+97vf6dlnn9WNN95oeoCbNm3S5MmTFR8fry5duuiTTz7RU089pdDQUN15552ml1fVKurTW3i/w+kod7aV0s5R/PjKxFfWOa2q5fdEP2d371N55/TWmlpvj680ZoxRcuecRp/J0n5v3T2nK7z9s3V35iijY5wAAJ7n8gDxjIwMzZw5U8nJyYqIiNCsWbM0cOBAK2KTJM2bN099+vTRtGnTJEldunTRr7/+qgULFvhssmFlzX1FM6CUtb+8Wlsjs6qUV5NaWguNu9df3jlLa5koLT537lPxWtnyrqm0mlhXPidXaqdduScVHW/G/oquw4wWoIqOLy8mI59tcWU9e1a0IhhpTXG39bC8lpfynqfyxpdV1Mpq5JppuQAA/2A42cjJydHSpUv12muvKSsrS/fee6+efPJJ1a1b17LgMjIylJ6erieeeKLI9t69e2vTpk3KyMhQ48aNLSvfKlbX3LvSWlJ8e1lfxEo7pvCXgvz9dmfFxxevzazsFJFlnbO0lonSanrduU/Fa2UrqqEtrSbWaPn599TIl6/y7omRL9mVvSfl7Tf6bBTfX163wYruU+FjyovJyGdr9D678jkVV97vQPHfy+Jf7Mv7vS2s8P7yWl7Keh6KP0/ljS+rqJW1IrRcAID/sDmdzgr/on/xxReaOXOm0tLS1Lx5cz3zzDPq2LGj5cF99tlnevjhh/X++++rZcuWBdsPHDige++9V6+99pq6du1asL2imM6fPy9JCg8PtyZgg67kZkmSbJLyb37+69K2eXq/p2OSpNDAEOW7kptVqWNUbHtVfw5W3Serr6m0+2h0vyeu2dPPa0XbCseeH78r53Tl+MLvdfXZcDemsrb54u+YP8UspxSQnStJygsOlGyej8kX7yMxe89+b4ypsjFLRf9uekJ4eLi2b99u6jnLbdk4e/asZs+erQ8//FChoaGaNGmSEhISFBhYNctz5CcHYWFhRbbXqlVL0tUB6q4qPnuWJ5j9IHlLElVVKnP/Sjum+DZ/uI9W/5Gq6PyhgSFVfh89/YfZXYXjr8y9M3r9VXmfjPy+Wc0ffp8tE3T1syjrf3LunTm4j+bhXhrjrfepzKzh3Xff1fz583X+/Hl1795d06dP17XXXluVsSm/0aV4gpC/3W4v2l1h9+7dVROYl8lv0amu128W7qM5uI+Vx70zD/ey8rh35uA+mod7aYy33qcyk42ZM2cWvN62bZu2bdtW4clsNpsOHDhgTmT6v8yseAvGxYsXi+wHAAAA4H3KTDb69+/v8S5H1113nSQpPT1dLVq0KNh+7NixIvsBAAAAeJ8yk405c+ZUZRylatq0qRo1aqTNmzerV69eBds/+ugjNWvWTL/5zW88GB0AAACA8lTNSG83jB07VlOnTlVERIS6deumbdu2adOmTZo/f76nQwMAAABQDq9PNgYMGKDs7GytWLFCa9euVePGjZWYmKi77rrL06EBAAAAKIfXJxuSNHToUA0dOtTTYQAAAABwgetL3QIAAACAAYZWEAcAAAAAV9GyAQAAAMASJBsAAAAALEGyAQAAAMASJBsAAAAALEGyAQAAAMASJBsAAAAALEGyAQAAAMASJBsAAAAALEGyAQAAAMASJBsAAAAALEGyAQAAAMASJBsAUA1duHBBK1as0IABA9ShQwfdfPPNGjhwoFavXi2Hw+Hy+bp3764RI0ZYEGnZWrRooaeffrrC93kiNgDAVYGeDgAAULWOHj2qMWPG6MSJE+rbt6/+9Kc/KSsrS1u3btVf/vIXff3113rxxRdls9k8Haoppk2bpho1ang6DAColkg2AKAaycrK0qOPPqpffvlF//znP9WyZcuCfSNHjtTMmTP1zjvvqG3btoqPj/dgpObp2bOnp0MAgGqLblQAUI288847SktL09SpU4skGvmeeuopRURE6B//+IcHogMA+BuSDQCoRj788EPVrFlTd999d6n7Q0NDtWbNGq1fv75g2+7du/XAAw+offv2at++veLj4/X1119XWJaR47p3767nnntOa9euVe/evdW2bVv96U9/0r59+3T69GlNmDBB7du3V5cuXTR//vxSx5O8+uqr6tKli9q1a6f4+Hjt27evRBmFx2w4nU69++67GjhwoNq3b682bdrozjvv1NKlS+V0Oiu8LgCAcSQbAFBNOJ1OHTx4UK1bt1ZQUFCZ72vWrJmCg4MlSVu3btWIESP03//+V2PGjNGYMWP03//+Vw888IC2bt1a5jlcOW7r1q1asGCBBg4cqHHjxuno0aMaP368EhISZLfb9fTTT+vGG2/Uq6++qvfff7/IsVu2bNHrr7+uoUOHauzYsTp69Kji4+N15MiRMmN76aWX9Oyzz+qGG27Q1KlT9cQTTygkJET/7//9vyJJFgDAfYzZAIBq4ueff1Zubq4aNGhg6P25ubl67rnnFBUVpffee09hYWGSpKFDh+qee+7RzJkz1bVr1xKJi6vHnTp1Su+//75atGghSfrll1+0fPly/e53v9P8+fMlSX379lWnTp20c+dO3XvvvQVlZWVl6R//+EfBsb1799bdd9+tl19+WQsXLixxTTk5OXrrrbd09913a86cOQXbBw0apNtuu01btmwpcn4AgHto2QCAasJuv/onPy8vz9D7Dxw4oB9//FFxcXEFCYMk1a5dW8OHD9epU6e0f/9+t49r0qRJQbIgSdddd50kqVevXgXbatasqcjISJ0+fbpIWV26dClybNOmTdWlSxft3Lmz1OsMCgrSv//9bz333HNFtv/8888KCwvTpUuXKrwvAADjaNkAgGoiIiJCQUFBOnv2rKH3Hz9+XNL/ffkv7Prrr5cknTx5Uu3bt3fruMjIyCLvCQgIkCTVq1evxPbiYyryz1dYkyZNtG3bNp09e7bUVpygoCB9+umn2rp1q9LS0nTs2DH9+uuvksSYDQAwGckGAFQTNptN7du31/79+5Wbm6vAwNL/C5g/f74yMjLUo0ePMs+V/6W8tLEf5X1hL+24suKo7Dof+YPI85OW4uU/+eST2rhxozp06KD27dtryJAhuuWWW3T//fdXqjwAQNlINgCgGunVq5e++uorJSUlqV+/fiX2X7lyRf/85z+Vl5enYcOGSbq6CGBxaWlpkqSGDRuW2BcdHV2p4yrjxIkTJbYdO3ZM4eHhqlu3bol9u3fv1saNG/Xoo49qwoQJBdtzc3P1yy+/qHHjxqbEBQC4ijEbAFCNDBkyRNHR0UpMTNThw4eL7MvLy9Ozzz6rzMxMPfTQQ2rXrp0aNGigd999VxcuXCh434ULF/TOO++oQYMGat26dYkyWrVqVanjKuPzzz/XqVOnCn4+fPiwdu7cqe7du5faMvLLL79Ikm644YYi29esWaPLly8rNzfXlLgAAFfRsgEA1UhISIgWLVqkkSNHauDAgerbt6/atGmjX375RZs3b9bBgwd15513Fkw7O2PGDE2cOFF/+tOfNHDgQEnSP//5T/300096+eWXCwadFxYUFFSp4yojODhYw4YN04gRI3T58mW98cYbql27tiZOnFjq+9u3b6+wsDD97W9/08mTJ1W7dm19+eWXSkpKUkhIiC5evGhKXACAq0g2AKCa+e1vf6v3339fb7zxhnbs2KGkpCQ5nU61aNFCs2fP1oABAwpaBXr37q0VK1bo73//uxYvXqzAwEC1a9dOzz//vDp27FhmGZU9zlVDhgyRzWbTq6++qqysLN166616+umn9Zvf/KbU99evX19Lly7V3Llz9fe//13BwcG67rrrNG/ePO3bt0+rVq1SZmam6tevb1qMAFCd2ZxMvQEAAADAAozZAAAAAGAJkg0AAAAAliDZAAAAAGAJtwaI5+TkKDk5WXa7XZ07dy5zYSYAAAAA1Y/h7CA7O1uzZs3S8ePHtWLFCmVnZ2vIkCFKTU2VJMXExGjlypWKjIy0LFh33XHHHZKk7du3ezgSAAAAwP8Z7ka1aNEirVmzRtdee60kaf369Tp48KBGjBih2bNn6/Tp01qwYIFlgZrh/PnzOn/+vKfDAAAAMNWVUz8p+Y9/UvIf/6Qrp37ydDhAAcMtG5s2bdLAgQM1a9YsSdKWLVsUHh6uKVOmKDAwUBkZGVq7dq1lgQIAAADwLYZbNn788UfdfPPNkqTLly/r66+/1m233VYwTuPaa6/VuXPnLAkSAAAAgO8xnGzUr19fmZmZkqTPP/9c2dnZ6tatW8H+Q4cO6ZprrjE9QAAAAAC+yXA3qltvvVUrV65USEiI3n77bdWoUUM9e/bUuXPn9N5772nNmjUaOnSolbECAAAA8CGGk41p06bp1KlTSkxMVM2aNTVr1izVrl1bKSkpSkxM1C233KJx48ZZGSsAAAAAH2I42cjLy9Prr7+us2fPKiwsTMHBwZKkm266SatXr1a7du0sCxIAAADwJbN3LJIkTetavSvjDY/ZuPfee7V48WLVq1evINGQpJo1a5JoAAAAeJA9OEi1W7dS7datZA8O8nQ4kJTnyFOeI8/TYXic4ZaNs2fPqkGDBlbGAgAAgEoIrltXbZ5/ztNhACUYbtno27evVq9erePHj1sZDwAAAAA/Ybhlw2636+jRo+rdu7eaNGmiyMhI2e1FcxWbzaaVK1eaHiQAAAAA32M42UhOTlbdunUlSVlZWTp58qRlQQEAAMC4nF9/1dFlKyRJ1z84UkERER6OCLjKcLKxbds2K+MAAABAJeVdyVLmjp2SpKbD4xRErgEvYXjMRmGnTp3S3r17df78eWVnZ8vhcJgdFwAAAAAf51KykZKSogEDBqhbt24aOnSo9u/fr6+++krdunVTUlKSVTECAAAA8EGGk419+/YpISFBFy9e1P3331+wPSIiQoGBgZo8ebI+++wzS4IEAAAA/NHsHYv0108XFCwC6G8MJxsLFixQo0aN9P777+vhhx+W0+mUJLVp00YbNmxQTEyMlixZYlmgAAAAgL/Jc+TJ4XT47QKAhpONb775RgMGDFBoaKhsNluRfWFhYRo8eLCOHDlieoAAAAAAfJNLYzaCg4PL3JeVlcVAcQAAAAAFDCcb7dq108aNG0vdd+nSJa1du1Zt2rQxLTAAAAAYYw8JUeRttyrytltlDwnxdDhAAcPrbDz22GMaMWKEhg8frh49eshms2nfvn06cuSI3nzzTZ08eVIzZ860MlYAAACUIrhOhFo+PcXTYQAlGE422rdvryVLluiZZ55RYmKiJGn+/PmSpAYNGmj+/Pn6/e9/b02UAAAAAHyO4WRDkv7whz/o448/1oEDB5Seni6Hw6Ho6Gi1bt1agYEunQoAAACAn3M5Q7DZbGrVqpVatWolSTpy5IiOHTummJgY04MDAABAxbJ//llHXlooSWo+cbyC69b1cETAVYaTDafTqddee01paWn629/+JofDodGjR+vzzz+XJN12221auHChatWqZVmwAAAAKMmRnaNf/ndvwWvAWxiejWr58uWaN2+eMjMzJUmbNm3Sjh07FBsbq7FjxyolJUWLFy+2LFAAAAAAvsVwy8a6devUq1cvLVx4tYkuKSlJNWrUUGJiokJDQ3Xx4kVt3rxZU6YwEwIAAAC82+wdiyRJ07qO83Ak/s1wy0ZGRoa6du0qScrJydGuXbvUqVMnhYaGSpJiYmIKWj0AAAAAb5bnyFOeI8/TYfg9w8lG7dq1deHCBUnSl19+qUuXLhUkH5KUnp6u+vXrmx8hAAAAAJ/k0jobb731lqKjo/Xqq68qMDBQsbGxysnJ0fbt2/Xuu++qZ8+eVsYKAAAAwIcYbtmYNm2aQkJC9Nhjj+ngwYOaNGmSGjRooD179uixxx5TgwYNNGHCBJcKz83NVdu2bdWiRYsi/9q3b1/wnp07d+pPf/qT2rVrp+7du2vFihUulQEAAADAMwy3bFx77bXasGGDDhw4oKioKEVFRUmSWrZsqXnz5umOO+5QjRo1XCo8LS1NWVlZSkxMVLNmzQq22+1Xc6A9e/Zo9OjR6tOnjyZMmKCUlBS98MILcjqdGjVqlEtlAQAA+KuAGqGKiu1Z8BrWMzLA3G6za/aORcpz5CnAHlAtB6O7tKhfYGCg2rZtW2RbRESE7rrrrkoVnpqaKrvdrt69e5eaqLz88sv67W9/qxdffFGS1LVrV+Xm5urVV1/ViBEjFBwcXKlyAQAA/ElQ7dq6YewYT4dRrRgdXJ7nyJPD6ZAcFgfkpQwnG1OnTq3wPTabTbNnzzZc+MGDB9WkSZNSE42srCzt3r1bEydOLLK9d+/eWrZsmfbs2aPf//73hssCAABA9ZbfyhAUEOTpUKoNl9bZKE9kZKTq1avnUuGHDh1ScHCwRo0apT179igwMFB9+vTRlClT9OOPPyonJ0fXXXddkWOaNm0q6WoXrOLJRseOHcst7/z58woPD3cpRgAAAPiH/FYGprytOoaTjdTU1BLbHA6HTp8+raSkJC1ZskRz5851qfDU1FRduHBBgwYN0ujRo7V//34tXLhQaWlpeuKJJyRJYWFhRY6pVauWJBVMwwsAAFDdZZ05q4PP/02SdNOfpyok0rUKYJiDlpOSXBqzUZzdbldUVJQSEhKUnp6uOXPm6PXXXzd8/Pz58xUREaEWLVpIkm655RZFRkbqySefVHJysqSrXbPKKru43bt3l1teRS0fAAAAvsiZm6uL3x8teA3PoOWkJLeSjcJ++9vfav369S4d06lTpxLbunXrVuTn4i0Y+T/THQoAAADwbobX2ajIZ599VtDFyYgzZ85o7dq1ysjIKLL9ypUrkq6OAQkICFB6enqR/fk/Fx/LAQAAAMC7uD0bVXZ2tg4dOqTvv/9e8fHxhgu22Wz6y1/+ovj4+CLnTkpKUkBAgDp37qyOHTvqo48+0v3331/QnWrLli0KDw9X69atDZcFAAAAmK3wOhqM0yid27NR2e121a9fXw888ECJaWrLU69ePcXFxenNN99UWFiYOnbsqJSUFL366quKi4tT06ZNNWbMGCUkJOjxxx/Xvffeq2+++UbLly/XpEmTXF5AEAAAADAb4zTK59ZsVO566qmnFBUVpffee09Lly5VVFSUHnvsMT344IOSpNtuu00LFy7Uyy+/rLFjxyoqKkpTpkzRyJEjTY8FAAAAgLlMGyBeGUFBQXrooYf00EMPlfmeXr16qVevXlUYFQAAAAAzeDTZAAAAgPsCa9VUo4EDCl4D3oJkAwAAwMcFhoWp6Yg4T4cBlGDa1LcAAAAAUFiZLRuffvqpWrdurfr161dlPAAAAIBh+VPPBtgDNK3rOEvPxTS3riuzZWPy5Mn69NNPC36Oj4/Xrl27qiImAAAAuCAr84x2PzRaux8arazMM54Op0qZOfVsRedimlvXldmy4XQ6lZKSorvvvls1atTQV199pcGDB1dlbAAAADDAmZenrJ9OF7yGMSzKZ70yk43Y2FitW7dO69evL9j25JNP6sknnyzzZDabTQcOHDA1QAAAAMAqtFZYq8xkY+bMmWrVqpUOHz6s7Oxsvf/+++rQoYMaN25clfEBAAAAVSq/xUOS2+NAyjJ7xyLZbf4/V1OZyUZwcLCGDx9e8PP69es1ZMgQ9e3bt0oCAwAAADzF6paOPEeenDanpWV4A8PrbKSmpha8zszM1MmTJxUUFKSoqCjVq1fPkuAAAAAAdzAmw7NcWtRv//79+utf/6p9+/YV2d6uXTv9+c9/Vps2bUwNDgAAAHAHYzI8y3CycejQIY0YMUKSNHjwYMXExMjhcOjo0aP64IMPFB8frzVr1qh58+aWBQsAAADAdxhONl566SXVqlVLq1evVnR0dJF9jz76qAYOHKhFixZpwYIFpgcJAACAsgWG1VKzhPsLXqP6DMD2doaTjd27dyshIaFEoiFJDRs21H333ac333zT1OAAAABQscBatRTdv5+nw/Aq1WUAtrcznO5lZ2erVq2yM+WwsDBduXLFlKAAAAAA+D7DycZNN92kjRs3Kjc3t8S+nJwcffDBB7rxxhtNDQ4AAACA7zLcjerBBx/UuHHjNHz4cCUkJKhZs2aSpKNHj+qNN97Qf/7zH82fP9+qOAEAAFCGKz/9pG/GPy5Jar9wvkKvucbDEfmH/MX9mDq38gwnGz179tSMGTM0d+5cTZw4sWC70+lUSEiInnrqKd15551WxAgAAIDyOCVHfnd2himYiqlz3ePSOhtxcXG6++67tWvXLh0/flxOp1ONGjVS586dVadOHYtCBAAAAOCLXEo2JKlOnTrq06ePFbEAAAAA8CNMPgwAAADAEiQbAAAAACxBsgEAAADAEoaTDYfDYWUcAAAAAPyM4WSjX79+WrlypZWxAAAAoBKCaofrhsfG6obHxiqodrinwwEKGJ6N6tixY6pRo4aVsQAAAKASAmrUUFSP7paXk7/AXYA9QNO6jrO8vMLlSqrSMmEOwy0bt99+uzZv3qwLFy5YGQ8AAAC8lKcWuMtz5LGono8y3LLRsmVLrVy5Ut27d1fbtm0VGRkpu71ormKz2TR79mzTgwQAAEDZnE6nnLm5kiRbYKBsNlulzlNWy8XsHYtktzGvkDvsNnvB/Q0KCPJ0OFXGcLLxyiuvFLzeuXNnqe8h2QAAAKh6WT+dVsrDYyRJHZa+otCoayp1nvyWCzlKbnfanO6GWe15qmXIkwwnG6mpqVbGAQAAAB9RuJa+qsdv5KO1xTdU6hNyOBzKzMxUdna22fEAAADAB3i6lp5xHL7BpWTj2LFjGj9+vDp06KAuXbooJSVFu3bt0qBBg7R7926rYgQAAADggwx3o/rhhx80ePBg2Ww2denSRR9//LEkKSAgQEePHtXIkSO1atUq3XzzzVbFCgAAAD9ReLC0w3l1kIg73bGq6wBsb2e4ZWPevHkKDQ1VUlKSnn32WTmdVwcJderUSUlJSapfv74WLVrkUuEOh0Pvvvuu+vbtq/bt26tnz57629/+VmR63V69eqlFixYl/p09e9alsgAAAOA9CnfDMqtLlKe7dqEkwy0bX3zxhRISEhQZGamff/65yL6oqCgNGzZMy5Ytc6nwZcuW6aWXXtKoUaN02223KS0tTS+//LK+++47LV++XBcvXlRGRoYmTZqkTp06FTm2du3aLpUFAAAAz6LlofoxnGxkZ2eX+wU/KChIWVlZhgt2Op1atmyZhgwZokmTJkmSOnfurLp16+rxxx/XwYMHdfnyZTmdTvXo0UMxMTGGzw0AAADvQ8tD9ePSon7btm1TXFxciX25ubnasGGDWrRoYbjgixcvql+/furTp0+R7ddff70kKT09XZmZmQoJCVGzZs0MnxcAAKC6CaoToZv+/HTBa1cxjSysYjjZeOSRR/Too49q8uTJ6tGjhyTpxIkT2rp1q5YvX64DBw7opZdeMlxwWFiYpk+fXmL7J598Ikm64YYblJycrDp16uiJJ55QcnKy8vLy1K1bN02bNk0NGjQocWzHjh3LLfP8+fMKDw83HCMAAIAvCAgJUb1Ot1T6eBbtg1UMJxt33HGHnn/+ec2ePVsffvihJGnGjBlyOp0KCQnRU089pd69e7sVzN69e7V06VL17NlTMTExSk1NVWZmppo3b64RI0bo6NGjevnllxUfH69169YpNDTUrfIAAAAAWMdwsiFJAwYMUGxsrJKTk5WRkSGHw6Ho6OiCsRbuSElJ0ejRo9WoUSPNmjVLkjR9+nQ5nU61a9dO0tWWi5iYGA0bNkwbNmzQ4MGDi5yjorU+Kmr5AAAA8EXOvDxl//KrJCm4ToRsAQEejgi4yqVkQ7ra/Sk2NlZnz56V3W53O8mQpKSkJD399NNq1qyZli1bVnDOtm3blnhvhw4dFB4ertTUVLfLBQAA8FX5MzsF2AP0RIvBSnl4jCSpw9JXFBp1jYejA65yKdn4/vvvtWDBAu3cuVOXL1+WJIWHh6tHjx6aMGGCGjZs6HIAr7/+uhITE9WpUyctXry4YEzFpUuXtGnTJrVq1UotW7YseL/T6VROTo4pSQ4AAICvyp/ZSQ5PRwKUzXCy8e233yo+Pl45OTnq2rWrmjRpIofDoR9++EEbNmzQjh079O6776pJkyaGC1+7dq3mzJmju+66S4mJiQoODi7YFxISUpCEFF4scOvWrbpy5UqJdTcAAADgP4qvycEK4b7JcLIxd+5chYWF6e233y6RUBw+fFjx8fFKTEzU4sWLDZ3vzJkzev755xUdHa24uDgdOHCgyP4mTZpozJgxmjNnjmbNmqXu3bvr8OHDWrhwoXr06KFbb73VaOgAAABep3A3qGldx1leliTLyzFTaWtysE6H7zGcbOzdu1djx44tteXixhtv1P3336/XXnvNcMGff/65Ll++rBMnTpS6dscLL7yghIQEhYWFadWqVVq7dq0iIiI0dOhQjR8/3nA5AAAA3qgqu0Hx5RyeYjjZqF27tvLyyn5Qa9as6dJUtP3791f//v0rfN+gQYM0aNAgw+cFAACwki+2EkhFuyGZ2ZqSf17J9+4JrGd4qci4uDi98cYb+u6770rsO3XqlN58880SU9ECAAD4mzxHns+2FFjVDcmX7wmsVWbLxtSpU0tsy8rKUv/+/dWlSxddd911stlsOnHihHbs2KGQkBBLAwUAAFWPGmtUlqutKAwA909lJhvr1q0r86Dt27dr+/btRbZdunRJS5Ys0cSJE00LDgAAeBa11b4huG4dtZnzfMFrb1CZMSkMAPc/ZSYbLJoHAADgfWbvWCS7rWhPeHtwsGrf1LKMIwDPcXkFcQAAAHhOniNPTpvT02EAhriUbKxfv17Jyck6ffq0HI6SbWI2m00rV640LTgAAFB1zBqf4UpffU+OCakozqpcB6N4uZJr98SRk6PLJ05KkmpE/0b2IO8Z85A/FqN4awyqB8PJxvz587VkyRIFBQUpMjJSdjsPDAAA/sSsfvKu9NX3ZN/8iuKsynUwipfrquyzP+t/JzwhSeqw9BWFRl1jdlhuoTWm+jKcbKxbt0633367Fi5cqBo1algZEwAA8AOsv1A6avlRnRhONi5cuKDevXuTaAAAAMP8dVYhdxbIM1LL78r57Ta7Fn+1Ur///39e/NVK5dSpVTCrU2nTyFY0zSzT0MIshtPqLl266IsvvrAyFgAAAJ9h9TStrpy/8Fhah8NRsMheece7ux8wwnDLxowZM5SQkKBJkyapZ8+eioyMlM1mK/G+W265xdQAAQCAZ7lTi18aq2vMzR7Y7UorQFUPJvcmtIagNIaTjZMnT+r8+fP68MMPlZSUVGK/0+mUzWbTwYMHTQ0QAAB4npmDpauqRcDMgd1GWwGqejC5t6E1BMUZTjaee+45nTt3TqNGjVKzZs0UGMgSHQAAWI0a86uMTlNrpEbd1wZo02IAX2Y4Yzhy5IjGjRunhx56yMp4AABAIdSYX2V0mlojNeq+OA0rLQbwVYaTjYYNG7K2BgAAVcCba7ErMz7BzJp5Xx0fYfVnmhUWrH/f30EB9gBlhQWr5KhawDMMZw8PPvigVq5cqe+++87KeAAAqPa8vRa7MvGZeU3efn9KY3XMzgC7LtWtoct1a8oZQOUwvIfhlo3U1FTZ7Xb169dPjRs3Vv369RUQEFDkPTabTStXrjQ9SAAAYJwv1vwD8E+Gk43t27fLbrerYcOGysnJ0X//+18r4wIAAJXEOI/qx57rUMTJXxRgD9AvDcOlIFo34B0MJxvbtm2zMg4AAHxSZVoRyjrG12ZJqgru3JP88R2SqqyFpzJlmjGmJfhitjq8t1+S9O+RnZRdh1lD4R14EgEAcENlWhHKOsbsWZI8PZjbqOJl5o9tCAoIcvue5DnyqvyaKjMuwxfHoQBGGE424uPjDb1v1apVlQ4GAACYy51kqCq/+BYu0+F0mF4+X+YBzzCcbBw/frzENofDoZ9//llZWVmKjo5W8+bNTQ0OAACr+cpgajO7BJl1zZ7oplRa+WZ3PTPjnCzEB1zl9piNvLw8bd26VdOnT9eoUaNMCwwAgKrgS4OpzaqVN/OaPd1SYMUCfWadk9YUwIQxGwEBAYqNjdXevXs1d+5crV692oy4qgVfqU0DgOqoohr7ytR+Fz+mMrXf5Y1vcDgdDDCvBFohAOuY9hepWbNmSk1NNet01QI1HgDgvfIceeX+fa5ov9Fj3F0gr/hr/k+pHP5PBqxhymxU2dnZ2rBhgyIjI804HSzgyT617qruLUDV/frhv4y0HJS332xGarfL2+/p8QsVsWp8AwCUx+3ZqLKzs5WWlqZz585p/PjxpgUGc/lyTY0v9ae2QnW/fviviv4ueeLvVkW120b2ezMrxjfAO1wJD9Fnj9yqAHugsoPt5nVdAdzk1mxU0tUxG9dff73uueceDRs2zLTA/BV9Qr2bJ2olabkAjKvq3xcz+vJXh7/7jHnwAnabcmoEyWkPlJzUTsF7sIJ4FaNPqHfzZE0qLRdAxTzx++Lu3+3q8ne/ulwnANewgriXqajWripr9bxtPnd4N6s/58qc393fJ1fK5Dk3pjrUflPLD0+w5+SpftoZ2W0BymxWRwqmIxW8Q5nJxqJFiyp1wnHj+E/WVYUH7VVUa1eVtXp5jrwyp1g0+uWrvGsqLZlx9wubGV/4Cl+zq+dxJ0Er/BwUnsrSXVXVNczqZ9OdVZAr+/vkSpmVia+058wbkzZ3ypKKPnvFa7/d+X0zIz6rBktTy4+qFnwpR20/vDor6L9HdlJ2MIkuvIPbyYbNZivyM8lG5XjzoL3C/2k6nA6XvnyVd02l/Sfs7hdWs77wVvY87n6xyL9n+ffZjC8qfNnxXqU9Z96YtLlTltH3eaIroTf/3QUAf1FmsrF169YKD75w4YLmz5+vTz/9VIGBgWXOWOWujRs36pVXXlFGRoaio6P1yCOPqH///paU5S0qqu0ra7/RY1xtpTDKyLSQhfdXRXeD4tcsld6a4kr5ZS2oVd57Pdm9prznqTItH568JiPTi1a0cJpZC595uquMFd0uy3tOCre6VVSm1fekrJZAb4kPAHBVmclGdHR0uQcmJSVpzpw5+umnn/S73/1Ozz77rG688UbTA9y0aZMmT56s+Ph4denSRZ988omeeuophYaG6s477zS9PG9SmS4eRo9xtZXC1ZhdmTbS6u4Gxa/Z1ZiNnNPINXt6AHhZcVTmvnv6moxMmVq8xrr4Z2ZGjbanu8pY0e2yvOekcKubkb8xViutJdCb4gMAVGKAeEZGhmbOnKnk5GRFRERo1qxZGjhwoBWxSZLmzZunPn36aNq0aZKkLl266Ndff9WCBQv8PtkwyhMLNVk1vsBImUZqav198SqrW6iKlyVVfsyH0ePdvSYra6wr8+xJ1oyTqcyic6X9Prjb2mP0nrjSemlm66cn/kb5IgazA7Ca4f9ZcnJytHjxYvXt21fJycm69957tWnTJksTjYyMDKWnpys2NrbI9t69e+vo0aPKyMiwrGxfk+fIq/Kauvwyq7om02hZnrgnVaXwfaiKliF3zm30eHevqSpbyIy811NxlLW/tJiK33NXYzZ6T1y9d2a1fnrib5Qv4v4AsJKhlo0vvvhCM2fOVFpampo3b65nnnlGHTt2tDo2HT16VJJ03XXXFdnetGlTSVJaWpoaN25seRyeVpla+srUJlIDWFJlan/Luvfu3ueKngN3zl/WeJ6KapeN1JhXpLItUGbWyFoxpqOicTKl3bOy7qMnWvKo8QYAmMHmdDrL7Lh89uxZzZ49Wx9++KFCQ0P16KOPKiEhQYGBVbM8x8aNGzVp0iRt3bpVjRo1Kth+7NgxxcbGav78+brrrrsKtleUAJ0/f16SFB4ebk3ABlzJzZIk2STl3/j816Vt8/R+T8UkSaGBIZJKv2eF9xdW/L1lnb/wsUaP8eX95d27K7lZlsdUvMzCyiu/8HHe8jmVF1NZxxe//rKu2cwyveWeeOPvg9X7vTEmrsk7yrRyv5xSQHauJCkvOFCyeT4mPkfX9ktl/19ZVcLDw7V9+3ZTz1lm1vDuu+9q/vz5On/+vLp3767p06fr2muvNbXwiuTnQcWn183fbre7XotX/FxVzYqHyBuSKCu5cs8qc3/zj/H3+1gWs59JV++j0fI9/Qe4NJWNqazjjNw7b7wPhXlLfNX199kM3DtzeOQ+Bl39/fO3FZt5Jo3x1vtU5vM4c+bMgtfbtm3Ttm3bKjyZzWbTgQMHzIlM/3ezLly4UGT7xYsXi+zPt3v3btPK9iX5LTrV9frNwn00B/ex8rh35uFeVh73zhzcR/NwL43x1vtUZrLRv39/j7cC5I/VSE9PV4sWLQq2Hzt2rMh+AAAAAN6nzGRjzpw5VRlHqZo2bapGjRpp8+bN6tWrV8H2jz76SM2aNdNvfvMbD0YHAAAAoDxe361v7Nixmjp1qiIiItStWzdt27ZNmzZt0vz58z0dGgAAAIByeH2yMWDAAGVnZ2vFihVau3atGjdurMTExCKzUAEAAADwPl6fbEjS0KFDNXToUE+HAQAAAMAF5q0ABQAAAACFkGwAAAAAsES5K4gDAAAAQGXRsgEAAADAEiQbAAAAACxBsgEAAADAEiQbAAAAACxBsgEAAADAEiQbAAAAACxBsgEAAADAEiQbAAAAACxBsgEAAADAEiQbAAAAACxBsgEAAADAEiQbAADDLly4oBUrVmjAgAHq0KGDbr75Zg0cOFCrV6+Ww+EoeF/37t01YsSICs83YsQIde/e3cqQAQAeFOjpAAAAvuHo0aMaM2aMTpw4ob59++pPf/qTsrKytHXrVv3lL3/R119/rRdffFE2m83wOUePHq3Lly9bGDUAwJNINgAAFcrKytKjjz6qX375Rf/85z/VsmXLgn0jR47UzJkz9c4776ht27aKj483fN4//OEPVoQLAPASdKMCAFTonXfeUVpamqZOnVok0cj31FNPKSIiQv/4xz88EB0AwFuRbAAAKvThhx+qZs2auvvuu0vdHxoaqjVr1mj9+vVFtn/wwQe6++671bp1a/Xu3Vvvvvtukf3Fx2yMGDFCo0aN0o4dOzRgwAC1adNG3bp108KFC4uMCZGkzZs3a/jw4erQoYNat26t7t2764UXXlB2drY5Fw0AcBvJBgCgXE6nUwcPHlTr1q0VFBRU5vuaNWum4ODggp+//fZbzZo1S3feeaemTp2q4OBgPfvss/rkk0/KLe/w4cOaOHGibr31Vk2fPl2NGzfWokWLiiQqa9eu1YQJExQeHq7JkydrypQpio6O1vLly7V06VL3LxoAYArGbAAAyvXzzz8rNzdXDRo0cOm4K1eu6O2331arVq0kSd26dVOPHj300UcfqWfPnmUe99NPP+mVV14paPHo37+/unTpog8++EBxcXGSpBUrVqh9+/b6+9//XjAgfdiwYerRo4e2bNmicePGVeZSAQAmI9kAAJTLbr/aCJ6Xl+fScc2aNStINCQpOjpa9erVU2ZmZrnH1ahRQ926dSv4OSQkRNddd12R4zZs2KDLly8XmfnqzJkzql27ti5duuRSnAAA65BsAADKFRERoaCgIJ09e9al4yIjI0tsCw0NVU5OTrnH1alTpyDByRccHFxkzEZQUJC+/vprbdy4UUePHlV6errOnDkj6WpSAwDwDozZAACUy2azqX379tq/f79yc3PLfN/8+fP1xBNP6PTp05JUImEwyshx/+///T8lJCTo4MGDuummmzR+/Hi9//776tixY6XKBABYg5YNAECFevXqpa+++kpJSUnq169fif1XrlzRP//5T+Xl5alOnTqWxnLixAktXbpUf/zjH/XCCy8U2VdRFy0AQNWiZQMAUKEhQ4YoOjpaiYmJOnz4cJF9eXl5evbZZ5WZmamHHnqo3BmrzPDrr79Kkm644YYi2z/77DP98MMP5ba+AACqFi0bAIAKhYSEaNGiRRo5cqQGDhyovn37qk2bNvrll1+0efNmHTx4UHfeeacSEhIsj+WGG27Qb37zG7366qvKyspSw4YNtW/fPq1bt04hISG6ePGi5TEAAIwh2QAAGPLb3/5W77//vt544w3t2LFDSUlJcjqdatGihWbPnq0BAwYUmR3KKsHBwVq6dKnmzJmjVatWyel0qkmTJpo2bZpyc3P1/PPPa//+/WrdurXlsQAAymdzOp1OTwcBAAAAwP8wZgMAAACAJUg2AAAAAFiCZAMAAACAJdwaIJ6Tk6Pk5GTZ7XZ17txZgYHePd78jjvukCRt377dw5EAAAAA/s9wdpCdna1Zs2bp+PHjWrFihbKzszVkyBClpqZKkmJiYrRy5UpFRkZaFqy7zp8/7+kQAAAAgGrDcDeqRYsWac2aNbr22mslSevXr9fBgwc1YsQIzZ49W6dPn9aCBQssCxQAAACAbzHcsrFp0yYNHDhQs2bNkiRt2bJF4eHhmjJligIDA5WRkaG1a9daFigAAAAA32K4ZePHH3/UzTffLEm6fPmyvv76a912220F4zSuvfZanTt3zpIgAQAAAPgew8lG/fr1lZmZKUn6/PPPlZ2drW7duhXsP3TokK655hrTAwQAAADgmwx3o7r11lu1cuVKhYSE6O2331aNGjXUs2dPnTt3Tu+9957WrFmjoUOHWhkrAAAAAB9iONmYNm2aTp06pcTERNWsWVOzZs1S7dq1lZKSosTERN1yyy0aN26clbECAAAA8CE2p9PpNPLGn3/+WXXr1tXZs2cVFham4OBgSdKlS5d05MgRtWvXztJAzdCxY0dJ0u7duz0cCQAAAOD/DI/ZuPfee7V48WLVq1evINGQpJo1a/pEogEAAACgahlONs6ePasGDRpYGQsAAAAAP2I42ejbt69Wr16t48ePWxkPAAAAAD9heIC43W7X0aNH1bt3bzVp0kSRkZGy24vmKjabTStXrjQ9SAAAAAC+x3CykZycrLp160qSsrKydPLkScuCAgAAAOD7DCcb27ZtszIOAAAAAH7G8JiNwk6dOqW9e/fq/Pnzys7OlsPhMDsuAAAAAD7OpWQjJSVFAwYMULdu3TR06FDt379fX331lbp166akpCSrYgQAAADggwwnG/v27VNCQoIuXryo+++/v2B7RESEAgMDNXnyZH322WeWBAkAAADA9xhONhYsWKBGjRrp/fff18MPP6z8hcfbtGmjDRs2KCYmRkuWLLEsUAAAAAC+xXCy8c0332jAgAEKDQ2VzWYrsi8sLEyDBw/WkSNHTA8QAAAAgG9yacxGcHBwmfuysrIYKA4AAACggOFko127dtq4cWOp+y5duqS1a9eqTZs2pgUGAAAAwLcZTjYee+wxHThwQMOHD9f69etls9m0b98+rVq1Sn/84x91/PhxjR492spYAQAAAPgQmzN/pLcBycnJeuaZZ3T8+PEi2xs0aKAZM2YoNjbW9ADN1LFjR0nS7t27PRwJAAAA4P9cSjYkyel06sCBA0pPT5fD4VB0dLRat26twEDDi5F7DMkGAAAAUHVcTjaKO3LkiOx2u2JiYsyKyTIkGwAAAEDVMTxmw+l0aunSpZo6daokyeFw6OGHH1a/fv10zz33aOTIkbp48aJlgQIAAADwLYaTjeXLl2vevHnKzMyUJG3atEk7duxQbGysxo4dq5SUFC1evNiyQAEAAAD4FsMDLdatW6devXpp4cKFkqSkpCTVqFFDiYmJCg0N1cWLF7V582ZNmTLFsmABAAAA+A7DLRsZGRnq2rWrJCknJ0e7du1Sp06dFBoaKkmKiYkpaPUAAAAAAMPJRu3atXXhwgVJ0pdffqlLly4VJB+SlJ6ervr165sfIQAAAACfZLgbVfv27fXWW28pOjpar776qgIDAxUbG6ucnBxt375d7777rnr27OlS4bm5ufrd736nrKysIttr1qypb775RpK0c+dOzZ8/X999950iIyM1fPhwjRw50qVyAAAAAFQ9w8nGtGnTNGrUKD322GOy2WyaMmWKGjRooC+//FKPPfaYrr/+ek2YMMGlwtPS0pSVlaXExEQ1a9asYLvdfrXBZc+ePRo9erT69OmjCRMmKCUlRS+88IKcTqdGjRrlUlkAAAAAqpZL62zk5ubqwIEDioqKUlRUlCTp119/VXJysu644w7VqFHDpcI/+OADTZkyRXv27Cn12AceeECXLl3SmjVrCra9+OKLWrNmjZKTkxUcHOxSeayzAQAAAFQdw2M2JCkwMFBt27YtSDQkKSIiQnfddZfLiYYkHTx4UE2aNCn12KysLO3evVuxsbFFtvfu3Vvnzp3Tnj17XC4PAAAAQNUx3I0qfzG/8thsNs2ePdtw4YcOHVJwcLBGjRqlPXv2KDAwUH369NGUKVP0448/KicnR9ddd12RY5o2bSrpahes3//+94bLAgAAAFC1XFpnozyRkZGqV6+eS4WnpqbqwoULGjRokEaPHq39+/dr4cKFSktL0xNPPCFJCgsLK3JMrVq1JKlgZqzC8rtJleX8+fMKDw93KUYAAAAAlWM42UhNTS2xzeFw6PTp00pKStKSJUs0d+5clwqfP3++IiIi1KJFC0nSLbfcosjISD355JNKTk6WdLW1pDT5g8gBAAAAeCfDyUZp7Ha7oqKilJCQoPT0dM2ZM0evv/664eM7depUYlu3bt2K/Fy8BSP/59JaKCoa+F1RywcAAAAA85jWPPDb3/5W//u//2v4/WfOnNHatWuVkZFRZPuVK1ckXe2WFRAQoPT09CL7838uPpYDAAAAgHcxLdn47LPPCsZTGGGz2fSXv/xFb731VpHtSUlJCggIUOfOndWxY0d99NFHKjw775YtWxQeHq7WrVubFToAAAAAC7g9G1V2drYOHTqk77//XvHx8YYLrlevnuLi4vTmm28qLCxMHTt2VEpKil599VXFxcWpadOmGjNmjBISEvT444/r3nvv1TfffKPly5dr0qRJlZpqFwAAAEDVMbyoX8uWLUvdbrfbVb9+fd19992aOHGiQkJCDBeek5OjN954Q++9955OnDihqKgoDR48WA8++GDBAPCPP/5YL7/8stLS0hQVFaW4uDiNHDnScBmFsagfAAAAUHVcWkHc15FsAAAAAFWH+WMBAAAAWIJkAwAAAIAlSDYAAAAAWIJkAwAAAIAlykw2Pv30U2VmZlZlLAAAAAD8SJnJxuTJk/Xpp58W/BwfH69du3ZVRUwAAAAA/ECZyYbT6VRKSoouX74sSfrqq6905syZKgsMAAAAgG8rc52NqVOnat26dbLZbJKuJh/5r8s8mc2mAwcOmB+lSVhnAwAAAKg6gWXtmDlzplq1aqXDhw8rOztb77//vjp06KDGjRtXZXwAAAAAfJThFcRbtmypF198UX379rU6JsvQsgEAAABUnTJbNopLTU0teJ2ZmamTJ08qKChIUVFRqlevniXBAQAAAPBdhpMNSdq/f7/++te/at++fUW2t2vXTn/+85/Vpk0bU4MDAAAA4LsMd6M6dOiQhg4dKknq16+fYmJi5HA4dPToUX3wwQeSpDVr1qh58+bWResmulEBAAAAVcdwsjFmzBh9++23Wr16taKjo4vs+/HHHzVw4EB16NBBCxYssCRQM5BsAAAAAFWnzHU2itu9e7eGDRtWItGQpIYNG+q+++7Tl19+aWpwAAAAAHyX4WQjOztbtWrVKnN/WFiYrly5YkpQAAAAAHyf4WTjpptu0saNG5Wbm1tiX05Ojj744APdeOONpgYHAAAAwHcZTjYefPBBffvttxo+fLi2bNmiQ4cO6dChQ9q0aZOGDx+u//znPxo5cqSVsQIAAADwIYYHiEvS22+/rblz5xbpLuV0OhUSEqLHH39cDzzwgBUxmoYB4gAAAEDVcSnZkKRffvlFu3bt0vHjx+V0OtWoUSN17txZderUsShE85BsAAAAAFXHpUX9JKlOnTrq06ePFbEAAAAA8COGx2wAAAAAgCtINgAAAABYgmQDAAAAgCUMj9lwOByy28lNAAAAAFfN3rFIeY48BdgDNK3rOE+HU2UMZw/9+vXTypUrrYwFAAAA8Et5jjw5nA7lOfI8HUqVMtyycezYMdWoUcPKWAAAAAC/ZrfZq1Urh+GWjdtvv12bN2/WhQsXrIwHAAAA8GvVqZXDcMtGy5YttXLlSnXv3l1t27ZVZGRkiTEcNptNs2fPNj1IAAAAAL7HcLLxyiuvFLzeuXNnqe8h2QAAAACQz3CykZqaamUcAAAAAPxMpeaydTgcyszMVHZ2ttnxAAAAAPATLiUbx44d0/jx49WhQwd16dJFKSkp2rVrlwYNGqTdu3dbFSMAAAAAH2S4G9UPP/ygwYMHy2azqUuXLvr4448lSQEBATp69KhGjhypVatW6eabbzZcuMPh0OrVq/XOO+/o+PHjioyMVI8ePTR+/HiFhYVJknr16qX09PQSx+7atUv16tUzXBYAAL5u9o5FkuT3U2UC/mT2jkWy26rvwtiGk4158+YpNDRU69atk81m00cffSRJ6tSpk5KSknTfffdp0aJFWrZsmeHCly1bppdeekmjRo3SbbfdprS0NL388sv67rvvtHz5cl28eFEZGRmaNGmSOnXqVOTY2rVrGy4HAAB/UB2myQT8TZ4jT06b09NheIzhZOOLL75QQkKCIiMj9fPPPxfZFxUVpWHDhrmUaDidTi1btkxDhgzRpEmTJEmdO3dW3bp19fjjj+vgwYO6fPmynE6nevTooZiYGMPnBgAAAOB5hpON7OzsclsTgoKClJWVZbjgixcvql+/furTp0+R7ddff70kKT09XZmZmQoJCVGzZs0MnxcAAACAd3BpUb9t27YpLi6uxL7c3Fxt2LBBLVq0MFxwWFiYpk+fXmL7J598Ikm64YYblJycrDp16uiJJ55QcnKy8vLy1K1bN02bNk0NGjQocWzHjh3LLfP8+fMKDw83HCMAAACQr7xxU7N3LFKeI08B9gDGVRVieLTKI488on//+9+aPHmyvvjiC0nSiRMntHXrVsXHx+vAgQNKSEhwK5i9e/dq6dKl6tmzp2JiYpSamqrMzEw1b95cr776qqZOnaqvv/5a8fHxunLliltlAQAAwLvM3rGo4Au9N8pz5JU5dirPkSeH08HYqmIMt2zccccdev755zV79mx9+OGHkqQZM2bI6XQqJCRETz31lHr37l3pQFJSUjR69Gg1atRIs2bNkiRNnz5dTqdT7dq1k3S15SImJkbDhg3Thg0bNHjw4CLnqGj63YpaPgAAAOA5fFH3P4aTDUkaMGCAYmNjlZycrIyMDDkcDkVHRxcM7K6spKQkPf3002rWrJmWLVtWcK62bduWeG+HDh0UHh7OiuYAAAAoFV2avIdLyYZ0daxFbGyszp49K7vd7laSIUmvv/66EhMT1alTJy1evLhgTMWlS5e0adMmtWrVSi1btix4v9PpVE5OjtvlAgAAwD/ld2mSw9ORwKVk4/vvv9eCBQu0c+dOXb58WZIUHh6uHj16aMKECWrYsKFLha9du1Zz5szRXXfdpcTERAUHBxfsCwkJKUhCFi36v757W7du1ZUrV0qsuwEAAPwDixdWD578nM1s+ajui/ZVxHCy8e233yo+Pl45OTnq2rWrmjRpIofDoR9++EEbNmzQjh079O6776pJkyaGznfmzBk9//zzio6OVlxcnA4cOFBkf5MmTTRmzBjNmTNHs2bNUvfu3XX48GEtXLhQPXr00K233uralQIAAJ9Av/3qwZOfs5ktH9V90b6KGE425s6dq7CwML399tslEorDhw8rPj5eiYmJWrx4saHzff7557p8+bJOnDhR6nS6L7zwghISEhQWFqZVq1Zp7dq1ioiI0NChQzV+/HijYQMA4FfsNjv90StAywh8Rf7vs+S/z6vhZGPv3r0aO3ZsqS0XN954o+6//3699tprhgvu37+/+vfvX+H7Bg0apEGDBhk+LwAA/o7+6OWjZQS+xN+fV8PJRu3atZWXV/bNqFmzpkJDQ00JCgAAb+HpVoT88oMCgqq8bG/iic/B05+9Fay4porOWd7+wi11vvKM+2LMnmR4NEtcXJzeeOMNfffddyX2nTp1Sm+++WaJdS8AAPB1nl6oy9PlewtP3Ad/vPdWXFNF53R3vzfyxZg9pcyWjalTp5bYlpWVpf79+6tLly667rrrZLPZdOLECe3YsUMhISGWBgoAgC8qXAPqcF7t9+TpWnIrYnK3xtwXa4r9seXDSt7QIlB85ijGQFmvzGRj3bp1ZR60fft2bd++vci2S5cuacmSJZo4caJpwQEA4OsK14Dmf7H3NHdjKu3LmbvjSIzWFOd/ObTb7AXv99SXRF8eO+OpgclWtAi4kiyUNnOU2Z+jNyRV3qTMZIMVugEAQGk8/SU7/wujw+nw2S/73sBfugB5+nksDd2s/o/LK4gDAODvfL1W0pPdQuiW4j/8YUpWWhk8z6VkY/369UpOTtbp06flcJRMH202m1auXGlacAAAeIKv10p6uqbX0+XDHL76/Bfn67/Pvs5wsjF//nwtWbJEQUFBioyMlN3OsuwAAN/ijYO13VFRv3ur++UXHj9Rmfis5E4LS3nX5G/MbIky61zlnacqnufi56dlxD2Gk41169bp9ttv18KFC1WjRg0rYwIAwBLeOFjbXRXV1lpdm1vagNuqLL88lW1hqeia/I2ZLVFmnaus81TF81xWLLSMVI7hZOPChQvq3bs3iQYAAD7G1X7rpdUqV+fa3dJmwPKF++APYy5KwzgM32K4jbBLly764osvrIwFAABYxJXa2dLeW91rd/MceQX/fOU+5Mfrj3zpc6juDLdszJgxQwkJCZo0aZJ69uypyMhI2Wy2Eu+75ZZbTA0QAAB/4qn+6EZjKlxTXNGYDJTETFxXeeLZ4Xn1ToaTjZMnT+r8+fP68MMPlZSUVGK/0+mUzWbTwYMHTQ0QAAB/46n+6OUpq6a4uo1fcBczcf0fTzw7PK/ex3Cy8dxzz+ncuXMaNWqUmjVrpsBAlugAAMAdpbUo+GN/9OLXZPZMYP54z+A5PE/mMpwxHDlyROPGjdNDDz1kZTwAAHg9M7vKVJfxEVbPBOaP96w0rj57fHGunOryPFUFw8lGw4YNWVsDAADRVQaeU5lnjy/O8CTDycaDDz6ohQsX6n/+5390ww03WBkTAABwgT/WXvvjNZXH1ckBrO6a5i2q23PgjwwnG6mpqbLb7erXr58aN26s+vXrKyAgoMh7bDabVq5caXqQAACgfP5Ye+2P11SWylyjPy5SWZrq9Bz4I8PJxvbt22W329WwYUPl5OTov//9r5VxAQBgufKmoa0Mf11EzQreVmNtdiy+2PJQmcUfmWYWFTGcbGzbts3KOAAA8Agzx19Q8+oab6qxtiIWX2x5cHXxR6aZRUWYvxYA4Jcq2wfelZpab6udh2+p6Nkp3jLiiVYEs1v/UP0YTjbi4+MNvW/VqlWVDgYAALNUtg+8qzW13lQ7D99S0bNTvGXEU60IzL4GdxhONo4fP15im8Ph0M8//6ysrCxFR0erefPmpgYHAAC1qjBbfgtW/hd5WqUA67g9ZiMvL09bt27V9OnTNWrUKNMCAwBAolYV5stvwXI4HbRKARZze8xGQECAYmNjtXfvXs2dO1erV682Iy54AWoTAXgSM90ArrF6DBFjlFAZpg0Qb9asmd566y2zTgcvQG1i+ZjisvKqcjrI6vI5+cp1ulKJUZnxE3wRQnVn9RgixijBVaYkG9nZ2dqwYYMiIyPNOB3gE/hDW3lVOR1kdfmcfOU6ra7E4IsQAHgXt2ejys7OVlpams6dO6fx48ebFhisRzcpGOFri1KVxlunbjQ7pvKus/iA2NL2S659tmbFX9nzGBnka2a3D6NT49LVxPtUVfcing2gJLdmo5Kujtm4/vrrdc8992jYsGGmBQbr0U0KRvjiolSl8cbn3YqYyjpn8QGxpe03q6yqOo/RQb5mtnYY7dpFC4v3qYruRTwbQEmsIO5B3ljTKhkflOmt8XuLimqKK1uTXF7ttCvnMfuzK69GXbK+xtzda/KV59nb4ywtPqM1udT6AoD/YQVxD/LGmlbJ9doZb4vfW1RUa+XOgmNl1U67cp6qrFE361xmH2Pm8VXF2+MsLT5XanKp9QUA/1JmsrFo0aJKnXDcOO+raauuive1L/y6cMuFp2oTy6sBrUzfbalyYwk8WVNc/N6XNibC3c/G22vCpap9BvPLkip+XqrqeTT6HLgyDWxF97S0/RWN+XDlmozGZ+Y1Ab6OZxz+yO1kw2azFfmZZMN7FO9rX/h18ZYLT9QmllcDWpm+22bGUZUqGhPh7mfj6eszqiqfQaNlVOXzaOQ5cHUa2IruaWn7zWyhMhKf2dcE+DqecfibMpONrVu3VnjwhQsXNH/+fH366acKDAwsc8Yqd23cuFGvvPKKMjIyFB0drUceeUT9+/e3pKyq4O6YCF+ZT7+qGakddpe31ThVxTWbwZdq61ypcS+r9bC893pzC1Nh7n5mlWm5AAD4nzKTjejo6HIPTEpK0pw5c/TTTz/pd7/7nZ599lndeOONpge4adMmTZ48WfHx8erSpYs++eQTPfXUUwoNDdWdd95penlVwd0xEdR2lM3qmZO8scbJV2aL8sZ7V5bKzCpjdEYkb29hKsyMVjVXWy4AAP7F5QHiGRkZmjlzppKTkxUREaFZs2Zp4MCBVsQmSZo3b5769OmjadOmSZK6dOmiX3/9VQsWLPDZZMMKVtaaFq6hLK32tqw+8MVrfSuaD98IV2qSjZyrrLErlZlJx9X4y2JWjXJZn5O71+ypNSuMjkEyypX7XJlrtupzNOv8leFLLVQAAO9gONnIycnR0qVL9dprrykrK0v33nuvnnzySdWtW9ey4DIyMpSenq4nnniiyPbevXtr06ZNysjIUOPGjS0rv6pU9EWmooGcQQFBBTWQdqc1XReKz4JUvKYzz5FXZkyFx4mUdnxFX4ILf6F0pSa5+HmK39vSal1Lu4/l1e6WFqeRz6mimmKzxmmU9jmVdc2uzB5k9fOWr/CzYXQMkitfiF25z5W55tLO70r3osqMubCau9cEAKheDCUbX3zxhWbOnKm0tDQ1b95czzzzjDp27Gh1bDp69Kgk6brrriuyvWnTppKktLS0IslGRTGdP3/e0PusdiU3SzZJ+V+PCr+WpH8FvlHwvuL781+XdbyV+z1RppkxS/93b6XyPwdvibkq90vS+4FvFtybysZc+Dz55+I+E7M3xUTM3rHfG2MiZu/Y740xWR2zVPT/Tk8JDw/X9u3bTT1nucnG2bNnNXv2bH344YcKDQ3VpEmTlJCQoMDAqlmeIz85CAsLK7K9Vq1a0v/X3p1HRXXdcQD/gsZExai4RhE1JjPogIoFXFAkI4oGgkbjEoXg0ihGOC5JjTSudTxW6ymtYBQLanAhkrgEFReUItG6m9gSrNpgxA1UEIOoiMztH56ZOCzDG5gB5vn9nMM54S33/d7XF2buvHfv4PkAdVOVnj2rNrxW/1WzbqfLqUmTJlWu6WVUOl/m+Bup1155CgoKUIyn+hyr09bLhteg+TDLqmN25sEczYdZSlNXc6qw1xAfH4+IiAgUFBRArVZj/vz5eOONN2qyNgjxvK9XuoOgW25ra3jL/uzZszVTWB2ju1Pzsp6/uTBH82COVcfszIdZVh2zMw/maD7MUpq6mlOFnY0lS5bo/zslJQUpKSmVNmZjY4OMjAzzVIbfemal72AUFhYarCciIiIiorqnws7GiBEjav2RI91YjaysLCiVSv3ya9euGawnIiIiIqK6p8LOxp///OearKNcHTt2hIODAw4cOIDBgwfrlx86dAidOnVCu3btarE6IiIiIiIypmZGelfDjBkzEB4ejqZNm8Lb2xspKSnYv38/IiIiars0IiIiIiIyos53NkaOHImnT59iw4YN+Oabb9ChQwesWLEC7777bm2XRkRERERERtT5zgYAjBs3DuPGjavtMoiIiIiIyAT8ulciIiIiIrIIG6H70goiIiIiIiIz4p0NIiIiIiKyCHY2iIiIiIjIItjZICIiIiIii2BnwwK0Wi3i4+Px3nvvwdXVFT4+Pli+fDkePnyo3+bYsWMYNWoUevToAbVajQ0bNpRp58SJEwgMDIS7uzs8PT0RFhaG69evG2zzyy+/ICQkBG5ubujduzcWLVpkcBxj9u7dCz8/P3Tv3h3Dhg3D7t279etu3LgBpVJZ4U9UVFTVwjGBHHLUOXjwIEaMGIGePXvC19cXmzZtglarNS2QKpJLjiUlJVi3bh3UajVcXFwQEBBQbtbmZi356Vy8eBEqlQrZ2dll1kmp05LklCUApKamQqVSmdRmVckpu/3792PUqFFwdXXFwIEDER4ejtzcXJPar6qazFHn2bNnGDNmDL788kvJdUp5XdHJycmBm5sbzp49K7n96pJTjpa8HuWUU2JiIt577z306NEDvr6+iIuLg+Rh34LMLjo6WnTt2lWsWrVKHD9+XGzZskV4eHiIyZMnCyGEOHfunFCpVOKzzz4TR48eFX/961+FUqkUMTEx+jbOnTsnunbtKkJDQ0VqaqpISkoS/v7+wtPTU+Tl5QkhhMjPzxdeXl5i1KhR4vDhw2L79u3Czc1NTJ06tdIak5KShFKpFMuWLRNpaWli4cKFQqFQiP379wshhCgqKhI//PBDmZ+goCDRq1cvkZmZaYHkDMkhRyGE+P7774VCoRBz584Vx48fF19++aVwcnIS//jHP8ycWPnkkuPixYuFUqkUS5cuFceOHRMbNmwQPXv2FBs3bjRvYKVYQ346P//8sxgwYIBQKBTi9u3bBuuk1GlpcslSV0evXr1E165dq5mKNHLJbt++fUKhUIgFCxaI77//XuzcuVN4e3sLf39/UVRUZIakjKupHHWKiorEnDlzhEKhEGvWrJFUo5S/hzo5OTnC399fKBQKcebMmWokYxq55Gjp61EuOSUmJgqFQiGWL18u/vWvf4m1a9eKrl27ivXr10s6BjsbZqbVaoW7u7tYvHixwXLdBZ2RkSGCg4PF6NGjDdavXLlSuLm56S/u6dOnC39/f1FSUqLfJjs7Wzg5OenfXK1Zs0b07NnT4GJLTU0VCoVC/Pjjj0br9PHxEbNmzTJYNnPmTDF06NAK90lOTq7wD565ySnHOXPmCB8fH4Ma/vCHP4h33nlHQhLVI5ccc3NzhZOTU5nz2Lp1q+jRo4d48OCBhDRMZy35FRcXiy1btghXV1fh4eFR7ps8KXVaklyyfPz4sVizZo1QqVTCw8OjRjobcslOCCECAgLExx9/bLDsxx9/FAqFQiQnJ0sLpIpqMkchhLhw4YIYOXKkPgupb/6kvK5otVqxb98+4enpqW+/pjobcsrRktejnHLy8/MT06ZNM9jm888/F15eXpKOwceozKywsBABAQHw9/c3WP7mm28CAK5cuYKzZ89iyJAhBut9fX3x66+/4vz58wCA7t27Izg4GLa2v/0TtWnTBk2aNNHfOjt+/Djc3d3RvHlz/Tb9+/dH48aNcfTo0QprvH79OrKyssqtITMzs9xbc0+ePMGyZcvg7e2NoUOHSomiWuSUY1FRERo2bGhQQ7NmzZCfny81jiqTS47Xrl2DVquFt7e3wTbu7u54/PgxTp8+LTER01hDfgBw7tw5rFq1CpMnT8Znn31WZn1RUZGkOi1JLlkmJSXhq6++Qnh4OAIDA01IoOrkkp0QAv369cOYMWPKPY+srCyj7VdXTeYIALNmzULz5s3x7bffSq5R6uvKzZs3MXfuXAwdOhQrVqyQ3L45yCVHS1+PcskJACIjI/HFF18YbPPKK6+gqKhI0nGs4hvErYmdnR3mz59fZvnhw4cBAN26dUNxcTE6d+5ssL5jx44AgKtXr6JPnz4ICQkp08bp06fx4MEDvPXWWwCAzMxMBAQEGGxTr149ODg44OrVqxXWmJmZCQBGa+jQoYPBuri4OOTk5GDTpk0VtmtOcspxwoQJ+Pjjj7F582aMGDEC6enp2LlzJ4YPH240A3OQS45KpRIAcOvWLYNtdH8IK3p2tbqsIT8A6NKlCw4fPowWLVpg586dZdZfv35dUp2WJJcse/fujSNHjsDOzg6RkZFG2zIXuWRnY2ODzz//vMLz0NVgKTWZIwCsW7cOCoXCpBqlvq40b94cBw4cgIODA06dOmXSMapLTjla8nqUU04vrs/Pz0dycjJ2796NyZMnSzoOOxs14MKFC1i/fj18fHxQUFAA4PlF+KLGjRsDQIWD8PLy8rBgwQK0bdtW/ya1oKCgTDu6towN5jO1hqdPnyIuLg5+fn76C7A2WGuOffr0weTJk6HRaKDRaAAAnp6eCA8PN37CFmKNObZp0wb9+vXD6tWr0bZtW7i5ueHKlStYtWoVbG1t8ejRIymnbhZ1LT8AaNmypdH1Va3T0qwxy/bt2xtdX1OsMbvyZGVlYcWKFVCpVOjfv7/J+1eXpXIEYPIbP0D6/6uNGzfWL6sLrDXH0ix9PVp7Tunp6Rg1ahQAwNnZGZMmTZJ0HD5GZWHnzp3D73//ezg4OECj0ehH7tvY2JS7/Yu3yXTu3LmD4OBg3LlzB6tXr0ajRo3068prRwihb+fZs2cGP1qttsIadMtL13Dw4EHcvXsXU6ZMkXraZmfNOS5atAgbNmxAaGgoNm/ejEWLFiEjIwMzZ86UPpODmVhzjitXroRKpdLPkhMaGoqwsDDY2NigYcOGpkZRJXUxPymqUqelWWuWdYFcsvv555/x0UcfoX79+vjb3/5W49ehpXOsjDlen+sCueRo6etRDjm1bdsWcXFxWL58Oe7evYvx48dLepSKdzYsKCkpCfPmzUOnTp0QExOD5s2b4969ewDK9hZ1vzdp0sRg+aVLlxASEoLCwkLExMSgR48e+nV2dnbl9nwLCwv1n76VnpYxNDQULi4u5dZQWFhYbg0HDx6EUqmEk5OTtBM3M2vOMScnBwkJCZgxYwbCwsIAAB4eHnB0dMSUKVOQmpqKd955x7RAqsiacwSAVq1aISYmBvfv30dubi46duyIu3fvoqSkBE2bNjUtjCqoq/npritjdHVIrdPSrDnL2iaX7E6dOoWwsDA0atQIX331FRwdHU3av7osnaMU5nh9rm1yydHS16NccmrZsqX+DmaHDh0QGBiI5OTkMuNSSmNnw0I2btyIFStWwMPDA2vWrNH/gzk6OqJevXplBh7pfn/xubjTp09j+vTpaNKkCbZu3Yq3337bYJ/OnTvj2rVrBstKSkpw48YN+Pr6AkCZgUKtW7fGkydP9MfUPQsPQN/WizUUFxfj2LFjmDZtmukhmIG153jr1i0IIdCrVy+D/d3d3QE8HyBWE50Na88RAPbt24e3334bCoVCP3g1IyMDQNk/ouZWl/OTwpQ6Lc3as6xNcskuKSkJc+fORefOnRETE4M2bdqYtH911USOUlT39bm2ySVHS1+P1p5TUVERkpOT0a1bN/3gduD5mBPg+fe8VErSnFVkkoSEBKFQKMSsWbPKnVIyKChIfPjhh0Kr1eqXrVy5Uvzud78Tjx49EkIIcfHiRdGzZ0/h5+cnsrOzyz1OZGSkcHV1Fffv39cv001ReO7cOaM1qtVqMWfOHINlM2fOFEOGDDFYlp6eLhQKhTh16pTR9ixBDjnm5uaKrl27ioiICINtTpw4IRQKhdi3b5/R9s1BDjkKIcSwYcPE3Llz9b+XlJSIoKAgMWjQIIMpAc3NGvJ70Y4dO8qdclRKnZYmlyx1Vq9eXWPfsyGX7NLS0kS3bt1EYGCgKCgokNyeudRUjqWZMhWp1NdnnZMnT9b492zIJUdLX49yyOnZs2fCzc3N4PVXCCEOHjwoFAqFSEtLq/QYvLNhZrm5uVi2bBnat2+PCRMm6D951XF0dMT06dMxadIkzJ49G++//z5++OEHxMbG4tNPP9U/ez5//nwUFxcjNDQUt2/fxu3bt/VttGjRAh06dMD48eOxZcsWTJw4ETNmzEB+fj7+8pe/wMvLq8wn6aXNmDED4eHhaNq0Kby9vZGSkoL9+/cjIiLCYLvLly8DsPwsIaXJJUd7e3sEBgYiJiYGtra26N27N65evYrIyEg4OTnBx8fHzMkZkkuOABAYGAiNRoO33noLzs7OSEhIwJkzZxAZGWmx55itJT8ppNRpSXLKsqbJJbunT5/iiy++QKNGjRASEoL//e9/BuvfeOMNi97lqMkcq0Pq63NtkUuOlr4e5ZJTvXr1EBISgpUrV6JVq1bw9PTEpUuXEBUVBU9PT2kD6SV1e0iyXbt2CYVCUeHP7t27hRBCHDp0SPj7+wuVSiXUarWIjY3Vt3Hz5k2jbfzxj3/Ub3vp0iURHBwsunfvLvr27SsWLFgguXceHx8vBg8eLJydncWwYcPErl27ymyzfv16oVAoRHFxcfWCMZGcciwpKRGxsbFiyJAhQqVSiUGDBolly5bVyKd6cspRq9WK2NhYoVarRc+ePcXo0aNFampq9UMywpry0zH2abyxOi1NblkKUXN3NuSS3enTp43WIPWT2Kqq6RxfZOr5SXl91qnpOxtyydHS16NcctJJSEgQ/v7+wsXFRXh5eYmVK1eKJ0+eSGrfRogang6HiIiIiIheCnVvDjUiIiIiIpIFdjaIiIiIiMgi2NkgIiIiIiKLYGeDiIiIiIgsgp0NIiIiIiKyCHY2iIiIiIjIItjZICKSkRs3bkCpVGLevHkm7xsUFAS1Wm3yfvPmzYNSqTR5P0uIjIyEUqnEjRs3TN5Xq9VWaT8iIqoYv0GciIgAACEhIXj8+LHJ+40dOxZ9+/a1QEU15+HDh5g4cSIGDhyIsLCw2i6HiEg22NkgIiIAgKenZ5X2c3V1haurq5mrqVn5+fn4z3/+g4EDB9Z2KUREssLHqIiIiIiIyCLY2SAiegmcPXsWEydO1N+F+Oijj3DmzBmDbUqP2QgKCsKUKVOQlpaGkSNHwsXFBd7e3oiMjIRWq9VvV3rMxrx58zB06FD8+9//RmBgIHr06IF+/fpBo9HgyZMnBsfMzMzE9OnT4ebmht69e0Oj0SAhIUHSuIusrCyEhYXB3d0dvXv3RkREBIQQZbb76aefEBYWhn79+kGlUqFv37749NNPkZ2dDQA4deoUBg0aBACIiooyOHZRUREiIiKgVqvh7OyMQYMG4e9//zuePn0qJXYiopceH6MiIpK5I0eOIDQ0FI6Ojpg+fToA4JtvvsHEiROxevVq/Rvt8ly+fBmzZs3C2LFjMXbsWOzduxdRUVGwt7fHhAkTKtwvLy8PU6ZMwbBhwxAQEIC0tDRs3rwZDRo0wNy5cwEAt27dwvjx4wEAkydPRv369bF161bs2bOn0nO6d+8exo0bh+LiYgQHB+O1117Dtm3b8Ouvvxpsd+nSJYwfPx4dO3bE1KlT0bBhQ5w/fx7fffcd7ty5g82bN6NLly4IDw/H8uXLMXjwYAwePBj29vYoKSnBtGnTcP78eYwZMwZdunRBeno61q1bh4sXL2Lt2rWwsbGptFYiopcZOxtERDL27Nkz/OlPf0KbNm2wY8cO2NnZAQDGjRsHf39/LFmyBF5eXnjllVfK3f/OnTtYu3at/o7HiBEjMGDAAOzZs8doZ+PBgweYP38+goKCAABjxozBu+++iz179ug7G1FRUSgoKEBiYiK6dOkCABg+fDiGDh1a6XnFxsYiLy8PO3bsgEqlAgC8//778Pf3N9hu27ZtsLGxQVxcHJo1awbg+YD24uJi7Nu3D/n5+WjZsiV8fHywfPlyKJVKDB8+HACwc+dOnDhxAjExMRgwYIC+ze7du2PhwoU4cuQIfHx8Kq2ViOhlxseoiIhkLCMjA9nZ2ZgwYYK+owEAr7/+OgIDA5GTk4P09PQK92/YsCG8vb31v7/66qvo3Lkz7t27V+mxhw0bZvC7k5MTcnNzAQBCCBw5cgQDBgzQdzQAoE2bNggICKi07bS0NLi4uOg7GgDQokUL+Pn5GWy3ePFipKSk6DsawPOZp1599VUAwKNHjyo8xqFDh2Bvbw+VSoW8vDz9z8CBA1GvXj2kpqZWWicR0cuOdzaIiGRMN/agc+fOZda9+eabAJ4/zlTRbFLNmjWDra3h51INGjQwGLNREXt7+zL7lZSUAHg++1N+fj46depUYV3G3Lx5s9zHv0rva2Njg/v37yM6OhqXLl1CVlYWbt26pR/bYew8srKykJeXV+G0vrdv3660TiKilx07G0REViw/Px92dnaoX9/wz3m9evUAoNwB0zq6dRU9QgWgTEfDFMb2ffbsGYDnHZDSdHcdjLGxsUFRUVGZ5aXPNzU1FZ988glat26NPn36wMvLC87Ozjh27Biio6ONHqOkpASdOnXCokWLyl3/+uuvV1onEdHLjp0NIiIrtXnzZmg0GiQlJekfRdLN9qR7I9y+fXsAz2d9Ku3q1asAgLZt29ZEuQZatGiBRo0a4Zdffimz7tq1a5Xu7+DgUO6+169fN/h96dKl6NixI3bs2IFGjRrpl0sZhO7g4ID09HT06dPHoONUXFyM5OTkWsmNiMjacMwGEZGV0nUkMjIy9Mt0/61QKAAAKpUKrVq1Qnx8PB4+fKjf7uHDh9i2bRtatWoFZ2fnGqz6OVtbW6jVaqSlpRl0EB48eIC9e/dWuv+QIUNw5coVpKWl6ZcVFBTgu+++M9guPz8f7dq1M+ho3L59G4cOHQIA/WNdujtBLz5WpVarkZ+fj/j4eIM2v/76a8yePRsnTpyQerpERC8t3tkgIrJS/fv3R4cOHaDRaJCTkwOtVovY2Fi0atUKgwcPBvD8EakFCxZg1qxZGDVqFD744AMAwLfffos7d+5g9erV1XpUqjpmzpyJo0ePYuzYsQgKCkKDBg3w9ddf66evNTat7KRJk5CYmIiwsDAEBwfD3t4e27dvL/MYlZeXF5KSkrBw4UK4uLjgxo0bSEhIwOPHjwEAhYWFAH4bm5KSkoJ27dphyJAhGD16NHbt2oWlS5fip59+Qvfu3XH58mVs374dKpUKI0eOtFAyRETywTsbRERWqkGDBti4cSN69eqFmJgYREdHw9XVFVu3bjWYecrX1xcbNmxA69atsWbNGkRHR8PBwQFxcXG1OnWro6MjtmzZAqVSiejoaKxfvx5qtVo/pW554zl07OzssG3bNvj6+mL79u2IioqCu7s7ZsyYYbDd4sWL8cEHHyAlJQUajQYHDhzAiBEjsGnTJgDAyZMnATyfdWv27NnIzs6GRqPBf//7XzRo0ACbNm3CpEmTcPLkSWg0GqSmpuLDDz9EbGwsGjZsaJlgiIhkxEYYGz1IRERkIbm5ubC3ty9zB2Pp0qWIj4/HhQsXjA5eJyKiuo93NoiIqFbMnDkTfn5+BuMkHj9+jH/+859wcnJiR4OISAY4ZoOIiGrF8OHDMX/+fEydOhWDBg1CUVEREhMTkZ2djSVLltR2eUREZAZ8jIqIiGpNYmIi4uLikJmZCVtbWzg7O+OTTz6Bh4dHbZdGRERmwM4GERERERFZBMdsEBERERGRRbCzQUREREREFsHOBhERERERWQQ7G0REREREZBHsbBARERERkUWws0FERERERBbxf4nIO7qVufYrAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1296x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##### Data wrangling #####\n",
    "\n",
    "join_dates_paths = [path for path in os.listdir(\"data/\") if \"players_joined\" in path]\n",
    "\n",
    "join_dates_all = []\n",
    "\n",
    "# bind together join dates from all countries\n",
    "for i in range(len(join_dates_paths)):\n",
    "\n",
    "    join_dates = pd.read_csv(\"data/\" + join_dates_paths[i], \n",
    "                             parse_dates = [\"joined\"], \n",
    "                             date_parser = dp)\n",
    "    country = re.sub(r\"_players.*\", \"\", join_dates_paths[i])\n",
    "    join_dates['country'] = country\n",
    "    join_dates_all.append(join_dates)\n",
    "    \n",
    "join_dates_all = pd.concat(join_dates_all)\n",
    "\n",
    "join_dates_all_qg = filter_dates_qg(join_dates_all, qg_date, 4)\n",
    "\n",
    "##### Plotting #####\n",
    "\n",
    "fig = sns.FacetGrid(data = join_dates_all_qg, \n",
    "                    row = \"country\",\n",
    "                    row_order= [\"GB\", \"IT\", \"CO\", \"CN\"])\n",
    "\n",
    "fig.map(sns.histplot, \"joined\", \n",
    "        bins = delta_days, \n",
    "        color = \"g\")\n",
    "\n",
    "fig.set(xlabel = \"Joining date\", \n",
    "        ylabel = \"Number of users\")\n",
    "fig.fig.set_figwidth(18)\n",
    "fig.fig.set_figheight(10)\n",
    "\n",
    "axes = fig.axes.flatten()\n",
    "axes[0].set_title(\"UK\")\n",
    "axes[1].set_title(\"Italy\")\n",
    "axes[2].set_title(\"Colombia\")\n",
    "axes[3].set_title(\"China\")\n",
    "axes[0].axvline(qg_date, color = 'r', linestyle = \"--\")\n",
    "axes[1].axvline(datetime.strptime(\"2020-11-28\", \"%Y-%m-%d\"), color = 'r', linestyle = \"--\")\n",
    "axes[2].axvline(datetime.strptime(\"2021-01-12\", \"%Y-%m-%d\"), color = 'r', linestyle = \"--\")\n",
    "\n",
    "fig.savefig(\"figs/01-joined_dates_gb_it_co_cn.png\", dpi = 600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It seems unclear whether the exact *The Queen's Gambit* release date marks the point when the number of user's joining starts to increase in that respective country. That being said, we can observe a shift in the peak of user's joining towards later dates in Columbia, the country with the most recent release date. Interestingly, from the 23rd October 2020 there is an increase in the number of players joining chess.com for all 4 countries. It's possible that this may be due to the availibity of VPNs and other *unofficial* methods, which can allow people to access Netflix shows outside of their country of residence. Consistently, the rate of increase in online chess uptake in China is substantially lower and looks to have has platea'd earlier than the other countries, potentially due to the greater online restrictions present there. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Number of games played by existing users\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*The Queen's Gambit* has gained popularity with the general public as an outstanding TV show, but has arguably been an even greater hit amongst chess fans. Even the current world champion [Magnus Carlsen endorsing it's games](https://www.youtube.com/watch?v=_ZfPa-GMxMI). Above, we explored the number of new players joining online chess, and here we focus instead on how existing user's have had their interest in chess re-kindled by *The Queen's Gambit*. \n",
    "\n",
    "To address this, I'll be continuing to use the 5000 random UK users obtained above. To ensure that this analysis is not confounded by the increase number of new players joining, I've only assessed the players that have joined before September 2020 (i.e. they've been part of chess.com for at least a month before the *The Queen's Gambit* release). Then, for the 5 month window between September 2020 - January 2021, I'll obtain the number of games played per month for each of these players."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_games = pd.read_csv(\"data/GB_n_games_27_02_2021.csv\")\n",
    "\n",
    "##### Plotting #####\n",
    "\n",
    "fig = sns.pointplot(data = n_games,\n",
    "                  x = 'month', \n",
    "                  y = 'n_games',\n",
    "                  estimator = np.mean, \n",
    "                  color = \"r\")\n",
    "\n",
    "fig.set(xlabel = \"Month\", \n",
    "        ylabel = \"Number of games\")\n",
    "\n",
    "fig.figure.savefig(\"figs/01-n_games_mean.png\", dpi = 600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From October onwards, we can see an steady rise in the average number of games played per player, suggesting *The Queen's Gambit* has motivated existing players to play more online chess. It's worth mentioning that a caveat for this analysis is that it's not split by time control (e.g. bullet, blitz, rapid etc), so there's a chance that this result could be explained by a shift towards faster time controls played."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##### Data wrangling #####\n",
    "\n",
    "n_games[\"prop_games\"] = n_games.groupby([\"username\"]).n_games.apply(lambda x: x/np.sum(x))\n",
    "\n",
    "# remove completely inactive players as these would have \n",
    "# infinite (NaN) proportions\n",
    "n_games_no_inactive = n_games.loc[np.isfinite(n_games[\"prop_games\"])]\n",
    "\n",
    "##### Plotting #####\n",
    "\n",
    "fig = sns.pointplot(data = n_games_no_inactive,\n",
    "                    x = \"month\", \n",
    "                    y = \"prop_games\", \n",
    "                    estimator = np.mean, \n",
    "                    color = \"r\")\n",
    "\n",
    "fig.set(xlabel = \"Month\", \n",
    "        ylabel = \"Proportion of games played\")\n",
    "\n",
    "fig.figure.savefig(\"figs/01-n_games_prop.png\", dpi = 600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By normalising the number of games played per player to a proportion across the 5 month window, we can investigate how individual players have increased their relative number of games played. Players have progressively increased in the frequency of their chess games played from September to January, suggesting that I am not alone in being influenced by the *The Queen's Gambit* to return to online chess."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##### Data wrangling #####\n",
    "\n",
    "# find which players were not playing in Sep and Oct\n",
    "users_no_sep = n_games.loc[(n_games[\"month\"] == \"2020_09\") & (n_games[\"n_games\"] == 0)][\"username\"]\n",
    "users_no_oct = n_games.loc[(n_games[\"month\"] == \"2020_10\") & (n_games[\"n_games\"] == 0)][\"username\"]\n",
    "users_no_sep_oct = n_games.loc[n_games[\"username\"].isin(users_no_sep) & n_games[\"username\"].isin(users_no_oct)]\n",
    "\n",
    "# find which players have started playing after Oct (at least 10 games)\n",
    "playing_nov = users_no_sep_oct.groupby([\"username\"]).n_games.apply(lambda x: sum(x) >= 10).reset_index()\n",
    "playing_nov = playing_nov.groupby([\"n_games\"]).username.count().reset_index()\n",
    "playing_nov[\"prop\"] = playing_nov[\"username\"] / np.sum(playing_nov[\"username\"])\n",
    "\n",
    "##### Plotting #####\n",
    "\n",
    "fig = sns.barplot(data = playing_nov,                \n",
    "                  x = \"n_games\", \n",
    "                  y = \"prop\", \n",
    "                  palette = \"Set1\")\n",
    "\n",
    "fig.set_xticklabels([\"< 10 games\", \">= 10 games\"])\n",
    "fig.set(xlabel = \"Number of games in Nov - Jan for inactive players\",\n",
    "        ylabel = \"Proportion\")\n",
    "\n",
    "fig.figure.savefig(\"figs/01-n_games_inactive.png\", dpi = 600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Even existing players that have taken a hiatus from chess have been nudged to return. By looking specifically at players who had not played a single game in September or October, we hone in on the population who were going through a chess dry spell. Over 55% of these players came back to play at least 10 games in November to January! This suggests that the majority of inactive players had been driven back to chess.com for at least a few games after watching *The Queen's Gambit*. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*The Queen's Gambit* has seen international success as a Netflix TV show, now being broadcasted in over 25 countries. Here, I demonstrate that the show's release has been followed by a surge in online chess popularity, which consists of both newcomers beginning their chess journey, as well as existing players also being inspired to return to online chess or play more frequently. \n",
    "\n",
    "Despite observing these trends between *The Queen's Gambit* release and online chess statistics, it is important to question the causal relationship between the two. Without a doubt, watching the show alone does not entirely account for the increase in online chess popularity. For example, the current COVID situation has left many working from home, with some suggesting that [online chess has profited as the outlet](https://www.sportingnews.com/us/other-sports/news/how-online-chess-became-a-pandemic-coping-mechanism/5cf4mtnrrp1t1gfhq6sftghd9). Chess is multiplayer game and arguably those lead to chess from *The Queen's Gambit* could have propogated their newfound interest through their own social networks. Also, the first [PogChamps](https://en.wikipedia.org/wiki/PogChamps) tournament involving popular streamers was hosted in May 2020 by chess.com, which is also likely to have spread awareness and garnered appeal for online chess. \n",
    "\n",
    "Regardless of it's origin, I'm really enjoying this recent rise in chess popularity. As well as being reminded of the enjoyment of playing chess, there's been an significant decrease in the number of yawns during my chess related rambles. I believe, to some degree, this is attributed to the *The Queen's Gambit* triggering a wave of chess enthusiasm which has spread globally, amongst both new and existing players."
   ]
  }
 ],
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