eventhistory.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "linear-intake",
   "metadata": {},
   "source": [
    "# Обработка итоговых результатов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "indonesian-dover",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "import requests\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import MultipleLocator, NullLocator\n",
    "from matplotlib.colors import Normalize\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sealed-pharmacy",
   "metadata": {},
   "source": [
    "Идентификатор паркрана."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "written-chick",
   "metadata": {},
   "outputs": [],
   "source": [
    "parkrun = 'kuzminki'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "vulnerable-family",
   "metadata": {},
   "source": [
    "Список идентификаторов всех российских паркранов находится в файле `russian_parkruns.csv`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eight-pleasure",
   "metadata": {},
   "outputs": [],
   "source": [
    "page_all_results = requests.get(f'https://www.parkrun.ru/{parkrun}/results/eventhistory/', \n",
    "                                headers={'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:86.0) Gecko/20100101 Firefox/86.0'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "numeric-joining",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_html(page_all_results.text)[0]\n",
    "data = data.drop(columns=data.columns[8:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "spare-manual",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.rename(columns={data.columns[0]: 'n', data.columns[1]: 'date',\n",
    "                           data.columns[2]: 'finishers', data.columns[3]:'volunteers',\n",
    "                           data.columns[4]: 'men_name', data.columns[5]: 'men_time',\n",
    "                           data.columns[6]: 'women_name', data.columns[7]: 'women_time'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "facial-baptist",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_colwidth', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "dated-mistress",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[data.columns[1]] = data[data.columns[1]].transform(lambda s: re.search(r'\\d\\d/\\d\\d/\\d{4}', s)[0])\n",
    "data[data.columns[2]] = data[data.columns[2]].transform(lambda s: s.replace('finishers', ''))\n",
    "data[data.columns[3]] = data[data.columns[3]].transform(lambda s: s.replace('volunteers', ''))\n",
    "data[data.columns[4]] = data[data.columns[4]].transform(lambda s: re.sub(r'(\\d\\d:?){2,3}', '', s))\n",
    "data[data.columns[6]] = data[data.columns[6]].transform(lambda s: re.sub(r'(\\d\\d:?){2,3}', '', s))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "proved-alcohol",
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "       n        date finishers volunteers            men_name men_time  \\\n",
       "0    206  17/04/2021       176         29       Тихон СМИРНОВ    18:00   \n",
       "1    205  10/04/2021       161         25        Герман ЖАРОВ    17:03   \n",
       "2    204  03/04/2021       192         28       Тихон СМИРНОВ    18:51   \n",
       "3    203  14/03/2020       154         27     Виктор НИКОЛАЕВ    15:46   \n",
       "4    202  07/03/2020       176         37     Дмитрий ТИХОНОВ    17:53   \n",
       "..   ...         ...       ...        ...                 ...      ...   \n",
       "201    5  16/07/2016        42         12     Дмитрий БОНДАРЬ    18:36   \n",
       "202    4  09/07/2016        46         13  Ринат АВЗЕЛИТДИНОВ    18:05   \n",
       "203    3  02/07/2016        27         10     Дмитрий БОНДАРЬ    18:52   \n",
       "204    2  25/06/2016        40         15   Алексей КУХАРЕНКО    18:28   \n",
       "205    1  18/06/2016       112         21     Дмитрий БОНДАРЬ    16:39   \n",
       "\n",
       "                women_name women_time  \n",
       "0        Светлана БЕЛАВИНА      21:31  \n",
       "1     Екатерина КАРАМЫШЕВА      21:53  \n",
       "2        Светлана БЕЛАВИНА      24:01  \n",
       "3        Наталья СЕЛЕЗНЕВА      20:13  \n",
       "4        Наталья СЕЛЕЗНЕВА      20:15  \n",
       "..                     ...        ...  \n",
       "201  Светлана КАНТОНИСТОВА      22:32  \n",
       "202          Ольга АКИМОВА      23:14  \n",
       "203    Янчик КРЖИЖАНОВСКАЯ      23:24  \n",
       "204          Olga LAZAREVA      22:15  \n",
       "205           Алсу ШАГИЕВА      18:57  \n",
       "\n",
       "[206 rows x 8 columns]"
      ],
      "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>n</th>\n      <th>date</th>\n      <th>finishers</th>\n      <th>volunteers</th>\n      <th>men_name</th>\n      <th>men_time</th>\n      <th>women_name</th>\n      <th>women_time</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>206</td>\n      <td>17/04/2021</td>\n      <td>176</td>\n      <td>29</td>\n      <td>Тихон СМИРНОВ</td>\n      <td>18:00</td>\n      <td>Светлана БЕЛАВИНА</td>\n      <td>21:31</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>205</td>\n      <td>10/04/2021</td>\n      <td>161</td>\n      <td>25</td>\n      <td>Герман ЖАРОВ</td>\n      <td>17:03</td>\n      <td>Екатерина КАРАМЫШЕВА</td>\n      <td>21:53</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>204</td>\n      <td>03/04/2021</td>\n      <td>192</td>\n      <td>28</td>\n      <td>Тихон СМИРНОВ</td>\n      <td>18:51</td>\n      <td>Светлана БЕЛАВИНА</td>\n      <td>24:01</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>203</td>\n      <td>14/03/2020</td>\n      <td>154</td>\n      <td>27</td>\n      <td>Виктор НИКОЛАЕВ</td>\n      <td>15:46</td>\n      <td>Наталья СЕЛЕЗНЕВА</td>\n      <td>20:13</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>202</td>\n      <td>07/03/2020</td>\n      <td>176</td>\n      <td>37</td>\n      <td>Дмитрий ТИХОНОВ</td>\n      <td>17:53</td>\n      <td>Наталья СЕЛЕЗНЕВА</td>\n      <td>20:15</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>201</th>\n      <td>5</td>\n      <td>16/07/2016</td>\n      <td>42</td>\n      <td>12</td>\n      <td>Дмитрий БОНДАРЬ</td>\n      <td>18:36</td>\n      <td>Светлана КАНТОНИСТОВА</td>\n      <td>22:32</td>\n    </tr>\n    <tr>\n      <th>202</th>\n      <td>4</td>\n      <td>09/07/2016</td>\n      <td>46</td>\n      <td>13</td>\n      <td>Ринат АВЗЕЛИТДИНОВ</td>\n      <td>18:05</td>\n      <td>Ольга АКИМОВА</td>\n      <td>23:14</td>\n    </tr>\n    <tr>\n      <th>203</th>\n      <td>3</td>\n      <td>02/07/2016</td>\n      <td>27</td>\n      <td>10</td>\n      <td>Дмитрий БОНДАРЬ</td>\n      <td>18:52</td>\n      <td>Янчик КРЖИЖАНОВСКАЯ</td>\n      <td>23:24</td>\n    </tr>\n    <tr>\n      <th>204</th>\n      <td>2</td>\n      <td>25/06/2016</td>\n      <td>40</td>\n      <td>15</td>\n      <td>Алексей КУХАРЕНКО</td>\n      <td>18:28</td>\n      <td>Olga LAZAREVA</td>\n      <td>22:15</td>\n    </tr>\n    <tr>\n      <th>205</th>\n      <td>1</td>\n      <td>18/06/2016</td>\n      <td>112</td>\n      <td>21</td>\n      <td>Дмитрий БОНДАРЬ</td>\n      <td>16:39</td>\n      <td>Алсу ШАГИЕВА</td>\n      <td>18:57</td>\n    </tr>\n  </tbody>\n</table>\n<p>206 rows × 8 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 8
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "lyric-failure",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['men_time_m'] = data['men_time'].transform(lambda time: sum(x * int(t) for x, t in zip([1/60, 1, 60], time.split(':')[::-1])))\n",
    "data['women_time_m'] = data['women_time'].transform(lambda time: sum(x * int(t) for x, t in zip([1/60, 1, 60], time.split(':')[::-1])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "human-fluid",
   "metadata": {},
   "outputs": [],
   "source": [
    "# data[data.columns[5]] = ('00:' + data[data.columns[5]]).apply(pd.to_timedelta)\n",
    "# data[data.columns[7]] = ('00:' + data[data.columns[7]]).apply(pd.to_timedelta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def min_to_mmss(m: float) -> str:\n",
    "    mins = int(m)\n",
    "    return f'{mins}:{int((m - mins) * 60)}'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "christian-mention",
   "metadata": {},
   "outputs": [],
   "source": [
    "number_parkruns = len(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "processed-semester",
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 7))\n",
    "ax = data['men_time_m'].hist(bins=30)\n",
    "ax.yaxis.set_major_locator(MultipleLocator(4))\n",
    "ptchs = ax.patches\n",
    "med = data['men_time_m'].median()\n",
    "norm = Normalize(min(2*med-ptchs[-1].get_x(), ptchs[0].get_x()), med)\n",
    "\n",
    "for ptch in ptchs:\n",
    "    ptch_x = ptch.get_x()\n",
    "    color = plt.cm.plasma(norm(med-abs(ptch_x-med)))\n",
    "    ptch.set_facecolor(color)\n",
    "    if ptch_x <= med:\n",
    "        m_height = ptch.get_height() + 0.3\n",
    "    \n",
    "\n",
    "ax.set_xlabel(\"Время победителей (минуты)\", size=14)\n",
    "ax.set_ylabel(\"Количество побед\")\n",
    "\n",
    "ax.annotate(f'Медиана {min_to_mmss(med)}', (med, m_height+0.2))\n",
    "plt.plot([med,med],[0,m_height], 'r')\n",
    "\n",
    "ldr_time = ptchs[0].get_x()\n",
    "ldr_y_mark = ptchs[0].get_height() + 0.4\n",
    "ax.annotate(f'Рекорд {min_to_mmss(ldr_time)}', (ldr_time, ldr_y_mark+0.5), rotation=60)\n",
    "plt.plot([ldr_time,ldr_time],[0,ldr_y_mark], 'r')\n",
    "\n",
    "lst_time = ptchs[-1].get_x() + ptchs[-1].get_width()\n",
    "lst_y_mark = ptchs[-1].get_height() + 0.4\n",
    "ax.annotate(f'Проведено паркранов {number_parkruns}', (lst_time, lst_y_mark+0.5), rotation=90)\n",
    "plt.plot([lst_time,lst_time],[0,lst_y_mark], 'r')\n",
    "plt.title('Распределение времени победы (мужчины)', size=16, fontweight='bold')\n",
    "\n",
    "plt.tight_layout()\n",
    "# plt.savefig('results.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "monthly-situation",
   "metadata": {},
   "source": [
    "## Статистика по мужчинам"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "controversial-fourth",
   "metadata": {},
   "source": [
    "### Топ10 мужчин по числу побед"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "geological-director",
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "Герман ЖАРОВ          45\n",
       "Юрий ВОЛОДИН          38\n",
       "Платон КИСЕЛЕВ        14\n",
       "Дмитрий БОНДАРЬ       13\n",
       "Александр ТАГАНЦЕВ    12\n",
       "Дмитрий ТИХОНОВ        7\n",
       "Максим ПЕТРИЩЕВ        7\n",
       "Сергей СИЛИН           7\n",
       "Владимир ИВАНОВ        6\n",
       "Виктор НИКОЛАЕВ        5\n",
       "Name: men_name, dtype: int64"
      ]
     },
     "metadata": {},
     "execution_count": 14
    }
   ],
   "source": [
    "data['men_name'].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "municipal-composer",
   "metadata": {},
   "source": [
    "### Среднее время мужчины-победителя"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "opponent-chuck",
   "metadata": {},
   "source": [
    "Рассчитывается среднее время на всех паркранах, на которых была одержана победа.\n",
    "\n",
    "Можно видеть чего примерно ждать от того или иного участника."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "behavioral-charlotte",
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "leaders_men_avr_time = data.groupby('men_name')['men_time_m'].mean().sort_values(ascending=False)\n",
    "mm = data['men_time_m'].mean() * 1.02\n",
    "plt.figure(figsize=(7,7))\n",
    "plt.xlim([int(leaders_men_avr_time[-1]), 1.01 * mm])\n",
    "ax = leaders_men_avr_time[leaders_men_avr_time < mm].plot(kind = 'barh', grid=True)\n",
    "for ptch, tick in zip(ax.patches, ax.yaxis.get_major_ticks()):\n",
    "    c = '#2ca02c' if ptch.get_width() < mm / 1.02 else '#1f77b4'\n",
    "    ptch.set_facecolor(c)\n",
    "    ax.annotate(\n",
    "        str(data['men_name'].value_counts()[tick.label.get_text()]), \n",
    "        (ptch.get_width()+0.03, ptch.get_y()+ptch.get_height()/5), size=8, color='r'\n",
    "        )\n",
    "ax.minorticks_on()\n",
    "ax.grid(b=False, which='major', axis='y')\n",
    "ax.grid(which='minor', axis='x', lw=0.5, ls=':')\n",
    "ax.xaxis.set_major_locator(MultipleLocator(1))\n",
    "ax.xaxis.set_minor_locator(MultipleLocator(1/6))\n",
    "ax.xaxis.tick_top()\n",
    "ax.yaxis.set_minor_locator(NullLocator())\n",
    "ax.set_ylabel(f'Участники со средним временем победы до {min_to_mmss(mm)}')\n",
    "plt.title('Среднее время и суммарное число побед', size=16, fontweight='bold')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "round-justice",
   "metadata": {},
   "source": [
    "### Среднее время победителя (мужчины)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "latest-color",
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "17:49\n"
     ]
    }
   ],
   "source": [
    "mean_men_time = data['men_time_m'].mean()\n",
    "print(min_to_mmss(mean_men_time))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "english-madness",
   "metadata": {},
   "source": [
    "### Топ10 мужских результатов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "equal-confidentiality",
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "     n        date          men_name men_time\n",
       "0  107  09/06/2018       Иван БУБНОВ    15:43\n",
       "1  203  14/03/2020   Виктор НИКОЛАЕВ    15:46\n",
       "2   54  17/06/2017   Виктор НИКОЛАЕВ    15:51\n",
       "3  100  21/04/2018   Виктор НИКОЛАЕВ    15:59\n",
       "4  162  15/06/2019      Герман ЖАРОВ    16:07\n",
       "5  179  12/10/2019      Герман ЖАРОВ    16:09\n",
       "6   67  16/09/2017        Дима СИЗОВ    16:10\n",
       "7   19  22/10/2016      Герман ЖАРОВ    16:24\n",
       "8  172  24/08/2019      Герман ЖАРОВ    16:31\n",
       "9  130  17/11/2018  Александр БОСКИН    16:33"
      ],
      "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>n</th>\n      <th>date</th>\n      <th>men_name</th>\n      <th>men_time</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>107</td>\n      <td>09/06/2018</td>\n      <td>Иван БУБНОВ</td>\n      <td>15:43</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>203</td>\n      <td>14/03/2020</td>\n      <td>Виктор НИКОЛАЕВ</td>\n      <td>15:46</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>54</td>\n      <td>17/06/2017</td>\n      <td>Виктор НИКОЛАЕВ</td>\n      <td>15:51</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>100</td>\n      <td>21/04/2018</td>\n      <td>Виктор НИКОЛАЕВ</td>\n      <td>15:59</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>162</td>\n      <td>15/06/2019</td>\n      <td>Герман ЖАРОВ</td>\n      <td>16:07</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>179</td>\n      <td>12/10/2019</td>\n      <td>Герман ЖАРОВ</td>\n      <td>16:09</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>67</td>\n      <td>16/09/2017</td>\n      <td>Дима СИЗОВ</td>\n      <td>16:10</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>19</td>\n      <td>22/10/2016</td>\n      <td>Герман ЖАРОВ</td>\n      <td>16:24</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>172</td>\n      <td>24/08/2019</td>\n      <td>Герман ЖАРОВ</td>\n      <td>16:31</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>130</td>\n      <td>17/11/2018</td>\n      <td>Александр БОСКИН</td>\n      <td>16:33</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 17
    }
   ],
   "source": [
    "data.sort_values(by=['men_time_m']).drop(data.iloc[:,[2,3,6,7,8,9]], axis=1).reset_index(drop=True).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cooked-boutique",
   "metadata": {},
   "source": [
    "## Статистика по женщинам"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "acute-silicon",
   "metadata": {},
   "source": [
    "### Топ10 женщин по числу побед"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "funny-employer",
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "Светлана БЕЛАВИНА        19\n",
       "Светлана КИРЕЕВА         15\n",
       "Ирина ЕРМАКОВА           10\n",
       "Диана ГАБИТОВА           10\n",
       "Янчик КРЖИЖАНОВСКАЯ      10\n",
       "Алсу ШАГИЕВА              9\n",
       "Марина ХЛОПКОВА           7\n",
       "Кристина ЖУРАВЛЕВА        6\n",
       "Ольга ХМЕЛЕВСКАЯ          6\n",
       "Светлана КАНТОНИСТОВА     4\n",
       "Name: women_name, dtype: int64"
      ]
     },
     "metadata": {},
     "execution_count": 18
    }
   ],
   "source": [
    "data['women_name'].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "functional-lotus",
   "metadata": {},
   "source": [
    "### Среднее время победителя (женщины)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "progressive-interference",
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "22:59\n"
     ]
    }
   ],
   "source": [
    "print(min_to_mmss(data['women_time_m'].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fourth-block",
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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8kiRJkiRJVc4pWpIkSZIkSVWuc94FlKJPnz5p4MCBFT3HZ599xrLLLlvRc0h5so+rvbOPqyOwn6u9s4+rvbOPqxwmTJjwYUqpb+P2qgh4Bg4cyPjx4yt6jnHjxjF8+PCKnkPKk31c7Z19XB2B/VztnX1c7Z19XOUQEW811e4ULUmSJEmSpCpXsYAnIlaNiIci4qWIeDEiji20946Iv0XEpMLX5StVgyRJkiRJUkdQyRE884ATUkqDgS2BH0bEYOBU4B8ppbWBfxQeS5IkSZIkqYUqFvCklN5NKT1duD8DeBlYBfgOcF1ht+uAXStVgyRJkiRJUkcQKaXKnyRiIPAIsAEwJaW0XKE9gE/qHzd6zmHAYQD9+vXbdMyYMRWtcebMmXTv3r2i55DyZB9Xe2cfV0dgP1d7Zx9Xe2cfVzmMGDFiQkppWOP2igc8EdEdeBgYlVK6MyI+LQ50IuKTlNJC1+EZNmxY8ipaUuvYx9Xe2cfVEdjP1d7Zx9Xe2cdVDhHRZMBT0atoRUQX4A7gppTSnYXm9yNi5cL2lYEPKlmDJEmSJElSe1fJq2gFcBXwckrpoqJNdwMHFu4fCNxVqRokSVL+IoL999+/4fG8efPo27cvO+20U45VLZ63336bESNGMHjwYNZff31+85vfNGw744wz2GijjRgyZAjf+ta3+O9//9vkMWpqahgyZAhDhgxhl112aavSJUlSB1HJETxfBb4PbBsREwu3kcC5wP9ExCTgm4XHkiSpnVp22WV54YUXmDVrFgB/+9vfWGWVVXKuavF07tyZCy+8kJdeeonHH3+c//u//+Oll14C4KSTTuK5555j4sSJ7LTTTpxzzjlNHqNbt25MnDiRiRMncvfdd7dl+ZIkqQOo5FW0Hk0pRUppo5TSkMLtLymlj1JK26WU1k4pfTOl9HGlapAkSUuGkSNHcu+99wJwyy23sM8++zRs++yzzzj44IPZfPPNGTp0KHfdNX9w7x//+Ed69+7NkCFDWGmllbjgggsAOOussxru//3vfyciqF+v78gjj2TYsGGsv/76nHnmmQ3HGjhwIB9++CEAH374IQMHDgTgzTff5Otf/zqbbLIJm2yyCf/85z+/VP/KK6/MJptsAkCPHj1Yb731eOeddwDo2bPnAq8lG8QsSZLUtiq6Bo8kSRLA3nvvzZgxY5g9ezbPPfccW2yxRcO2UaNGse222/Lkk0/y0EMPcdJJJ/HZZ58BUFtby6677srEiRM54ogjmjz2Oeecw1prrbXA8caPH89zzz3Hww8/zHPPPbfQ2lZccUX+9re/8fTTT3PrrbdyzDHHLHT/N998k2eeeWaB13D66aez6qqrctNNNzWM4Bk/fjyHHnpowz6zZ89m2LBhbLnllvz5z39e6DkkSZIWlwGPJEmquI022og333yTW265hZEjRy6w7YEHHuDcc89lyJAhDB8+nNmzZzNlyhQgu5xs7969mz3uHXfcwWabbbbAlK/bbruNTTbZhKFDh/Liiy82TKUCGDFiBEOGDGHEiBENbXPnzuUHP/gBG264IXvssccC+zc2c+ZMdtttNy6++OIFRu6MGjWKt99+m/3224/LLrsMgGHDhnHllVc27PPWW28xfvx4br75Zo477jhef/31Rb1tkiRJJeucdwGSJKlj2GWXXTjxxBMZN24cH330UUN7Sok77riDQYMGfek5b7zxBv3792/yeLW1tZx//vncc8897L777g37X3DBBTz11FMsv/zyHHTQQcyePbvhOQ899BB9+vThww8/ZNiw7Oqio0ePpl+/fjz77LPU1dWx9NJLN3m+uXPnsttuu7Hffvvxve99r8l99ttvP0aOHMnZZ5/9pW31IdQaa6zB8OHDeeaZZ1hzzTWbPI4kSdLicgSPJElqEwcffDBnnnkmG2644QLt3/72t7n00ktJKQHwzDPPADBnzhzGjh3Ljjvu2OTxbrzxRkaOHEmfPn0a2qZPn86yyy5Lr169eP/997nvvvsWWde0adNYeeWV6dSpEzfccAO1tbVf2ielxCGHHMJ6663H8ccfv8C2SZMmNdy/6667WHfddb/0/E8++YQvvvgCyNb/eeyxxxg8ePAia5MkSSqVI3gkSVKb6N+/f5Pr25xxxhkcd9xxbLTRRtTV1bH66qtzzz33sP/++/Piiy+yxx57APDee+9RU1PDvvvuC8D777//pbBl4403ZujQoay77rqsuuqqfPWrX11kXUcddRS77bYb119/Pdtvvz3LLrvsl/Z57LHHuOGGG9hwww0ZMmQIAL/85S8ZOXIkp556Kv/+97/p1KkTq622GpdffjmQrcFz+eWXc+WVV/Lyyy9z+OGH06lTJ+rq6jj11FMNeCRJUllF/V/LlmTDhg1L9VfGqJRx48YxfPjwip5DypN9XO2dfbz9GT58OOPGjVug7cQTT+Too49uuAJWR2M/V3tnH1d7Zx9XOUTEhJTSsMbtTtGSJElLpJ/97Gdfatt///3p27dvDtVIkiQt2ZyiJUmSlkjbbrvtl9rqp0dJkiRpQY7gkSRJlXHccdlNkiRJFecIHkmSVBkTJ+ZdgSRJUofhCB5JkiRJkqQqZ8AjSZIkSZJU5Qx4JEmSJEmSqpwBjyRJkiRJUpUz4JEkSZIkSapyXkVLkiQt1Gcfr9ui5y09bwoAs1v4/GLL9n6l1ceQJElqzxzBI0mSJEmSVOUMeCRJkiRJkqqcAY8kSZIkSVKVM+CRJEmSJEmqcgY8kiRJkiRJVc6AR5IkSZIkqcoZ8EiSJEmSJFU5Ax5JkiRJkqQqZ8AjSZIkSZJU5Qx4JEmSJEmSqpwBjyRJkiRJUpUz4JEkSZIkSapyBjySJEmSJElVzoBHkiRJkiSpyhnwSJIkSZIkVTkDHkmSJEmSpCpnwCNJkiRJklTlDHgkSZIkSZKqnAGPJEmSJElSlTPgkSRJkiRJqnIGPJIkSZIkSVXOgEeSJEmSJKnKGfBIkiRJkiRVOQMeSZIkSZKkKmfAI0mSJEmSVOUMeCRJkiRJkqqcAY8kSZIkSVKVM+CRJEmSJEmqcgY8kiRJkiRJVc6AR5IkSZIkqcoZ8EiSJEmSJFU5Ax5JkiRJkqQqZ8AjSZIkSZJU5Qx4JEmSJEmSqpwBjyRJkiRJUpUz4JEkSZIkSapyBjySJEmSJElVzoBHkiRJkiSpyhnwSJIkSZIkVTkDHkmSJEmSpCpnwCNJkiRJklTlDHgkSZIkSZKqnAGPJEmSJElSlTPgkSRJkiRJqnIGPJIkSZIkSVXOgEeSJEmSJKnKGfBIkiRJkiRVOQMeSZIkSZKkKmfAI0mSJEmSVOUMeCRJkiRJkqqcAY8kSZIkSVKVM+CRJEmSJEmqcgY8kiRJkiRJVc6AR5IkSZIkqcoZ8EiSJEmSJFU5Ax5JkiRJkqQqZ8AjSZIkSZJU5Qx4JEmSJEmSqpwBjyRJkiRJUpWrWMATEVdHxAcR8UKj9h9FxCsR8WJEnFep80uSJEmSJHUUlRzBcy2wfXFDRIwAvgNsnFJaH7iggueXJEmSJEnqECoW8KSUHgE+btR8JHBuSumLwj4fVOr8kiRJkiRJHUWklCp38IiBwD0ppQ0KjycCd5GN7JkNnJhSeqqZ5x4GHAbQr1+/TceMGVOxOgFmzpxJ9+7dK3oOKU/2cbV39vHKqat9sUXPG3r8xQA8c9Fxra6hU836rT5GezBz5ky6107JuwzoNTjvCtRO+btc7Z19XOUwYsSICSmlYY3bO7dxHZ2B3sCWwGbAbRGxRmoiZUopXQFcATBs2LA0fPjwihY2btw4Kn0OKU/2cbV39vHK+ezjI1r0vKV7vAPAFkMvbXUNy/Z+pdXHaA/GjRvHNp9dkXcZdBo+Me8S1E75u1ztnX1cldTWV9H6D3BnyjwJ1AF92rgGSZIkSZKkdqWtA54/AyMAImIdYCngwzauQZIkSZIkqV2p2BStiLgFGA70iYj/AGcCVwNXFy6dPgc4sKnpWZIkSZIkSSpdxQKelNI+zWzav1LnlCRJkiRJ6ojaeoqWJEmSJEmSysyAR5IkSZIkqcoZ8EiSJEmSJFU5Ax5JkiRJkqQqZ8AjSZIkSZJU5Qx4JEmSJEmSqpwBjyRJkiRJUpUz4JEkSZIkSapyBjySJEmSJElVzoBHkiRJkiSpyhnwSJIkSZIkVTkDHkmSJEmSpCpnwCNJkiRJklTlDHgkSZIkSZKqnAGPJEmSJElSlTPgkSRJkiRJqnIGPJIkSZIkSVXOgEeSJEmSJKnKGfBIkiRJkiRVOQMeSZIkSZKkKmfAI0mSJEmSVOUMeCRJkiRJkqqcAY8kSZIkSVKVM+CRJEmSJEmqcgY8kiRJkiRJVc6AR5IkSZIkqcoZ8EiSJEmSJFU5Ax5JkiRJkqQqZ8AjSZIkSZJU5Qx4JEmSJEmSqpwBjyRJkiRJUpUz4JEkSZIkSapyBjySJEmSJElVzoBHkiRJkiSpyhnwSJIkSZIkVTkDHkmSJEmSpCpnwCNJkiRJklTlOuddgCRJS6J0/0Z5lwBAbP9c3iVIkiSpCjiCR5IkSZIkqcoZ8EiSJEmSJFU5Ax5JkiRJkqQqZ8AjSZIkSZJU5Qx4JEmSJEmSqpwBjyRJkiRJUpUz4JEkSZIkSapyBjySJEmSJElVzoBHkiRJkiSpyhnwSJIkSZIkVTkDHkmSJEmSpCpnwCNJkiRJklTlDHgkSZIkSZKqnAGPJEmSJElSlTPgkSRJkiRJqnIGPJIkSZIkSVXOgEeSJEmSJKnKGfBIkiRJkiRVOQMeSZIkSZKkKmfAI0mSJEmSVOU6512AJEmStLhmnrtj3iXQ/dR78y5BkqQGjuCRJEmSJEmqcgY8kiRJkiRJVc6AR5IkSZIkqcoZ8EiSJEmSJFU5Ax5JkiRJkqQqZ8AjSZIkSZJU5Qx4JEmSJEmSqpwBjyRJkiRJUpUz4JEkSZIkSapyBjySJEmSJElVzoBHkiRJkiSpyhnwSJIkSZIkVTkDHkmSJEmSpCrX4oAnIs6KiKsjYrNyFiRJkiRJkqTF07mUnSJiBpCKm4ClgV7AFxWoS5IkSZIkSSUqKeABXkspDS1uiIhnUkqfV6AmSZIkSZIkLYZSp2h1iYhVImKZorbU7N6SJEmSJElqM4uzBs/fgFci4v2IuB7os7CdC+vzfBARLxS1nR8Rr0TEcxHxp4hYrmVlS5IkSZIkqV5JAU9KaYOU0uCU0gBgAHAfsEJE/CwiBjfztGuB7Ru1/Q3YIKW0EfAqcFrLypYkSZIkSVK9UtfgaZBS+gK4JSJeBboDHzSz3yMRMbBR2wNFDx8Hdl/c80uSJEmSJGlBkdKil9IprL1zAjAgpfSDiFgbGJRSumcRzxsI3JNS2qCJbWOBW1NKNzbz3MOAwwD69eu36ZgxYxZZZ2vMnDmT7t27V/QcUp7s49Vh3n8m510CnfuvkXcJLVL2Pj79pfIdqzV6NjdQtu3U1b7YoucNPf5iAJ656LhW19CpZv1WH6M9mDlzJt1rp+RdBvRaAvrle6/lXQKdVlor7xLaHf+/ovbOPq5yGDFixISU0rDG7aUGPLcCE4ADUkobFAKff6aUhizieQNpIuCJiNOBYcD3UgkFDBs2LI0fP36RdbbGuHHjGD58eEXPIeXJPl4dpp60d94l0Pf8ygbqlVLuPp7u36hsx2qN2P65vEvgs4/XbdHzlt4lCyJm3z2g1TUs2/uVVh+jPRg3bhzbfHZc3mXQaceJeZfAzHN3zLsEup96b94ltDv+f0XtnX1c5RARTQY8pS6yvGZK6TxgLkDh8ujRwkIOAnYC9isl3JEkSZIkSdLClboGz5yI6Ebh0ugRsSbwxeKeLCK2B04GvlEIiSRJkiRJktRKpQY8ZwL3A6tGxE3AV4GDFvaEiLgFGA70iYj/FI5xGtAV+FtEADyeUjqiRZVLkiRJkiQJKDHgSSn9LSKeBrYkm5p1bErpw0U8Z58mmq9a/BIlSZIkSZK0MAsNeCKid0rp48LDrwLbFG1e6BW0JEmSJEmS1DYWtcjyOICIOBc4FnipcDs2IkZVtjRJkiRJkiSVYlFTtOoXQh4JDEkp1QFExHXA08DpFaxNkiRJkiRJJVjUCJ5XI6J+WtZyRe29KH2BZkmSJEmSJFXQokKa04FbgLnAixHxV7JFlkcAZ1W2NEmSJEmSJJVioQFPSuntiNgO2BboSxbuTAfOSClNaYP6JEmSJEmStAiLmqJFSumLlNJ9wLNAD2AVYPlKFyZJkiRJkqTSLDLgAYiIY4GbyEbxrAjcGBE/qmRhkiRJkiRJKk2pCyUfAmyRUvoMICJ+DfwLuLRShUmSJEmSJKk0JY3gIVt7p7bocW2hTZIkSZIkSTkrdQTPNcATEfGnwuNdgasqUpEkSZIkSZIWS0kBT0rpoogYB3yt0PS/KaVnKlaVJEmSJEmSSlZSwBMRA4APgT8Xt3mpdEmSJEmSpPyVOkXrFeA1snV3UtHXjSpUlyRJkiRJkkpUasDz75TS0IpWIkmSJEmSpBYpNeBJFa1CkrTE+OzXI/MugWVP+UveJUiSJElVpdSAZ7mI+F7jxpTSnWWuR5IkSZIkSYup1IDnYWDnRm0JMOCRJEmSJEnKWamXSf/fShciSZIkSZKklumUdwGSJEmSJElqHQMeSZIkSZKkKmfAI0mSJEmSVOVKCngioldEjI6I8YXbhRHRq9LFSZIkSZIkadFKHcFzNTAd2LNwmw5cU6miJEmSJEmSVLpSL5O+Zkppt6LHZ0fExArUI0mSJEmSpMVU6gieWRHxtfoHEfFVYFZlSpIkSZIkSdLiKHUEz5HAdYV1dwL4GDioUkVJkiRJkiSpdCUFPCmlicDGEdGz8Hh6JYuSJEmSJElS6Uq9itbgiDga6AacHxF/jIihlS1NkiRJkiRJpSh1DZ6bgUHAE8CTwG3AlZUqSpIkSZIkSaUrNeDplFL6ETAnpXRVSum2xXiuJEmSJEmSKqjURZa7R8T3gM4R8V2ycKdn5cqSJEmSJElSqUoNeB4Gdi583aXQ9khFKpIkSZIkSdJiKTXguTSl9HRFK5EkSZIkSVKLlLqOjgsqS5IkSZIkLaFKHcHTOSKWB6K4MaX0cflLkiRJkiRJ0uIoNeAZBExgwYAnAWuUvSJJkiQt0eZe9fW8S8DrfUiStKBSA56XUkpDK1qJJEmSJEmSWqTUNXgkSZIkSZK0hCo14NmqolVIkiRJkiSpxUoNeMZGxHL1DyJi+Yj4a2VKkiRJkiRJ0uIoNeDpm1L6tP5BSukTYMWKVCRJkiRJkqTFUmrAUxsRA+ofRMRqZFfRkiRJkiRJUs5KvYrW6cCjEfEw2aXSvw4cVrGqJEmSJEmSVLKSAp6U0v0RsQmwZaHpuJTSh5UrS5IkSZIkSaUqaYpWRASwPbBJSukeYJmI2LyilUmSJEmSJKkkpa7B81uyS6XvU3g8A/i/ilQkSZIkSZKkxVLqGjxbpJQ2iYhnILuKVkQsVcG6JEmSJEmSVKJSR/DMjYgaClfOioi+QF3FqpIkSZIkSVLJSg14LgH+BKwYEaOAR4FfVqwqSZIkSZIklazUq2jdFBETgO3ILpO+a0rp5YpWJkmSJEmSpJKUFPBERG/gA+CW4raU0seVKkySJEmSJEmlKXWR5Qlk6+8EsDLwbuHxGhWqS5IkSZIkSSUqdYrW6vX3I+KZlNLQypUkSZIkSZKkxVHqIssAFC6N7uXRJUmSJEmSliClrsEztnB3PeDmypUjSZIkSZKkxVXqGjwXAHXAf1JKb1SwHkmSJEmSJC2mUgOe5+vvFK6oBYBX0VJL/GKpMXmXwE/n7J13CUuMR77287xLoFfvaXmXwMZ3X5B3CSoy79qvLv6TehzAvGtPL1sNNSuV7VCtUvv8OnmXAKss1ozudqv2mSXgezHrmLwrkCRJS6hSA54PgfeBWWRX0gKvoiVJkiRJkrREKPVPcocB/wEuBNZOKa2eUjLckSRJkiRJWgKUFPCklK4EvgZ0BR6LiP0qWpUkSZIkSZJKVlLAExHfA3YE3gQuB06JiGcrWJckSZIkSZJKVOoaPDs3ejyh3IVIkiRJkiSpZUoKeFJK/1vpQiRJkiRJktQyJQU8EXF3U+0ppV3KW44kSZIkSZIWV6lTtNYDDq1kIZIkSZIkSWqZUgOeGSmlhytaiSRJkiRJklqkpKtoARtHxKcR8V5EPB0Rl0ZEn4pWJkmSJEmSpJKUFPCklGqA3sCawF7Ae8B1FaxLkiRJkiRJJSp1BA8ppbqU0mcppUkppVHA/RWsS5IkSZIkSSUqdQ0eImIXYJvCw4dTSpdWpiRJkiRJkiQtjpJG8ETEr4BjgZcKt2Mi4peVLEySJEmSJEmlKXUEz47AkJRSHUBEXAc8A/ykUoVJkiRJkiSpNCVP0QKWAz4u3O9V/lIkSZIkSZLKb86cOXTp0oWIAOChhx7i6aefZvDgweywww45V1cepS6y/CvgmYi4tjB6ZwLgFC1JkiRJkrTE22yzzfj0008BOP/88zn99NOZNWsWF110Eaeddlq+xZVJqZdJvwXYErgTuAPYKqU0pqUnjYgfR8SLEfFCRNwSEUu39FiSJEmSJEkLU1tby/LLLw/Arbfeyj/+8Q9++tOfct9993HvvffmXF15LDTgiYgd6++nlN5NKd2dUrob+CwiWnQVrYhYBTgGGJZS2gCoAfZuybEkSZIkSZIWpWfPnrzwwgsA9OnTh9mzZwMwb9486urq8iytbBa1Bs/FEdEvpXR1fUNE7AuMAq5u/mklnbdbRMwFlgH+24pjSZIkSZIkNevyyy9nv/32Y+ONN2bFFVdk2LBhbLPNNjz//PP85Cft4/pRiwp4tgHujYj+wBjgt8Bc4JsppddbcsKU0jsRcQEwBZgFPJBSeqAlx5IkSZIkSVqUjTbaiKeffpoHHniAV199lY033pj+/fszevRolltuubzLK4tIKS18h4geZGvvfB04qDVr7xSOtzzZOj57AZ8CtwN/TCnd2Gi/w4DDAPr167fpmDGtOu0izZw5k+7du1f0HMq8+/QneZfAypssn3cJba65Pj7z3+/mUM2Campq8y6Bbmv1z7sEAOb9Z3LeJdCpc/5DVDt1Wfw+MbNmBbrXflS+IlpQQ0V0yf/7UbdUtOh5Q4+/GIBnLjqu9UUs/L8rbaLT3PyLmDm3H93T1LzLIM2tybsE0rz8a+i00lp5l9Du+H9ytXf28SXD9OnTgWzaVjUaMWLEhJTSsMbtiwx4ACKiM9mUrOWBPVJKs1taSETsAWyfUjqk8PgAYMuU0lHNPWfYsGFp/PjxLT1lScaNG8fw4cMreg5lfrFUZcO6Uvx0Tsdb9qm5Pv7I137e9sU00qv3tLxLYOO7L8i7BACmnpR/31ymz/S8S6Brv8XvE4/2OICvzbi+bDXUrDSjbMdqjbpVWvxPbtnMXqXUi24uaOldpmTPv3tAq2uIefmHK13fyb+G//feMWxTd2XeZVD7Xo+8S+CLqfn/p7z7qe1jUc4lif8nV3tnH8/PlClTOPnkk3nwwQfp1asXKSWmT5/Otttuy7nnnsvAgQPzLrFkEdFkwLOoRZZnRMR04GPgu8COwMdF7S0xBdgyIpaJ7AL02wEvt/BYkiRJkiRJC7XXXnvx3e9+l3fffZdJkybx2muv8e6777Lrrruy9975/5G1HBYa8KSUeqSUehZuPVJKnVJKy9S3t+SEKaUngD8CTwPPF2q4oiXHkiRJkiRJWpQPP/yQvfbai5qa+VN8a2pq2HvvvfnoozJO88/RohZZroiU0pnAmXmcW5IkSZIkdSybbropRx11FAceeCCrrroqAG+//TbXXXcdQ4cOzbm68sgl4JEkSZIkSWor119/PVdddRVnnnkm77zzDgD9+/dn55135pBDDsm5uvIw4JEkSZIkSe3aUkstxZFHHsmRRx6ZdykV07LLYkiSJEmSJFWRv/71r1x11VW89dZbC7RfffXVOVVUXgY8kiRJkiSpXfvJT37CqFGjeP7559l222259NJLG7ZddtllOVZWPgY8kiRJkiSpXRs7diwPPvggF198MRMmTOC+++7jxz/+MQAppZyrKw8DHkmSJEmS1K7NmzePzp2zZYiXW245xo4dy/Tp09ljjz2YM2dOztWVhwGPJEmSJElq19Zcc00efvjhhsc1NTVcddVVDBo0iJdffjnHysrHgEeSJEmSJLVrt99+O5tvvvmX2n/xi1/w9ttv51BR+XmZdEmSJEmS1K5169at2W2rrLJKG1ZSOY7gkSRJkiRJqnIGPJIkSZIkSVXOgEeSJEmSJHUY06ZNA+Dxxx/nnnvuYd68eTlXVB6uwSNJkiRJkjqEfffdl3HjxrHTTjvx2muvscwyy3DjjTcyZsyYvEtrNQMeSZIkSZLUIYwfP57Jkyez6qqr8v7779OpUyc22GCDvMsqC6doSZIkSZKkDqF79+4svfTSrLrqqnTqlEUiSy21VM5VlYcjeCRJkiRJUofw7LPP0rNnTz7//HN69uxJSonZs2fnXVZZGPBIkiRJLfDB8fvkXQIrXnRL3iUA8MxOJ5flOLN23ZhnLmjZsYbec15ZapDUvtXW1uZdQsUY8EiSJEmSpA7j7rvv5pFHHgFg+PDh7LTTTjlXVB6uwSNJkiRJkjqEU089ld/85jcMHjyYwYMH85vf/IbTTjst77LKwhE8kiRJkiSpQ/jLX/7CxIkTGxZYPvDAAxk6dCi/+tWvcq6s9RzBI0mSJEmSOoxPP/204f60adPyK6TMHMEjSZIkSZI6hNNOO42hQ4cyYsQIUko88sgjnHvuuXmXVRYGPJIkSZIkqUPYZ599GD58OE899RQAv/71r1lppZVyrqo8DHgkSZIkSVKHUH/1rOWWWw6AV199lVdffZVtttkmx6rKw4BHkiRJkiR1COeffz4Ajz76KF//+tdJKRERBjySJEmSJEnVYuzYsQAMHTqUu+++O+dqysuraEmSJEmSpA4lIvIuoewcwSNJkiRJkjqEiy66CIAPPvig4T7A8ccfn1dJZWPAI0mSJEmSOoQZM2YA8IMf/KDhfnthwCNJkiRJkjqEM888M+8SKsaAR5IkSZIkdQhTp07lvPPO48UXX2T27NkN7Q8++GCOVZWHiyxLkiRJkqQOYb/99mPdddfljTfe4Mwzz2TgwIFsttlmeZdVFgY8kiRJkiSpQ/joo4845JBD6NKlC9/4xje4+uqr28XoHXCKliRJkiRJ6iC6dOkCwMorr8y9997LV77yFT7++OOcqyoPAx5JkiRJktQh/PSnP2XatGlceOGF/OhHP2L69OmMHj0677LKwoBHkiRJkiR1CDvttBMAvXr14qGHHsq5mvJyDR5JkiRJktQhTJ48mZ133pk+ffqw4oor8p3vfIfJkyfnXVZZOIJHkoA3Djos7xIA6N437wokSZKk9mvfffflhz/8IX/6058AGDNmDPvssw9PPPFEzpW1niN4JEmSJElSh/D555/z/e9/n86dO9O5c2f2339/Zs+enXdZZeEIHkmSJEmS1CHssMMOnHvuuey9995EBLfeeisjR45suJJW7969c66w5Qx4JEmSJElSh3DbbbcB8Pvf/36B9jFjxhARVb0ejwGPJEmSJEnqEN544428S6gY1+CRJEmSJEkdwt///vcFHk+dOpW99947p2rKy4BHkiRJkiR1CGeddRZjxowB4JprrmGbbbZh1113zbeoMnGKliRJkiRJ6hDuv/9+9txzT8477zw23nhjHnvssapeWLmYI3gkSZIkSVKHMGfOHK6++mpWWWUVevfuTUQ0XEGr2jmCR5IkSZIkdQibbropEUFKiRdeeIE777yz6q+eVc+AR5IkSZIkdQjt+SpaBjySJEmSJKlDmD17Nr/97W959NFHiQi+/vWvc8QRR7D00kvnXVqrGfBIkiRJkqQO4YADDqBHjx786Ec/AuDmm2/m+9//PrfffnvOlbWeAY8kSZIkSeoQXnjhBV566aWGxyNGjGDw4ME5VlQ+XkVLkiRJkiR1CJtssgmPP/54w+MnnniCYcOG5VhR+TiCR5IkSZIkdQgTJkxg6623ZsCAAQBMmTKFQYMGseGGGxIRPPfcczlX2HIGPJIkSZIkqUO4//778y6hYgx4JEmSJElSh7DaaqsB8MEHHzB79uyG9voRPdXMNXgkSZIkSVKHcPfdd7P22muz+uqr841vfIOBAweyww475F1WWRjwSJIkSZKkDuGMM87g8ccfZ5111uGNN97gH//4B1tuuWXeZZWFAY8kSZIkSeoQunTpwgorrEBdXR11dXWMGDGC8ePH511WWbgGjyRJkiRJ6hCWW245Zs6cyTbbbMN+++3HiiuuyLLLLpt3WWXhCB5JkiRJktQh3HXXXXTr1o3Ro0ez/fbbs+aaazJ27Ni8yyoLR/BIkiRJkqQOoXi0zoEHHphjJeVnwCNJkiRJkjqEzp07s8wyyzQ8TikREUyfPj3HqsrDKVodyNSpU/MuQZIkSZKk3Gy44YZMnz694TZjxox2Ee6AAU+H8fHHH/OTn/yEGTNmLNBeV1eXU0WSJEmSJLWtiMi7hIpxilYHcfrpp7PiiivSo0cP5s2bx7Rp00gp0adPH2D+sDRJkiRJktqrzz//nGeeeYaU0gLtm2yySU4VlY8BTwcwYcIExowZw0cffQTAiSeeyIcffsgDDzzAfvvtx+jRow13JEmSJEnt3sorr8zxxx+/QFtE8OCDD+ZUUfkY8HQAn3zyCUOHDuXkk0+mc+fOPP/889xxxx1MmzaN/fffn+uuu67drR4uSZIkSVJjDz30UN4lVIxr8HQA3/jGN/j973/PwIEDueOOOzjhhBNYbrnlWG211Tj00EMZP3583iVKkiRJkqRWcARPB9ClSxfWXnttvvKVr/DNb36TddZZp2Hbtddey49//GMgW3C5UyczP0mSJEmSqo2f5tuxhx9+mJkzZzY8XnbZZVl33XUbQpw//OEP9OzZk1122QXAcEeSJEmSpCrlJ/p2asqUKYwYMYLNNtuMG264oaG9/rLotbW1bLjhhlx++eUNjyVJkiRJas/mzp3LJZdcwu67787uu+/OpZdeyty5c/MuqywMeNqpe+65hzPOOIPLLruM0aNH881vfpPHHnusYZTOww8/zJAhQ1h55ZUBqKmpybNcSZIkSZIq7sgjj2TChAkcddRRHHXUUTz99NMceeSReZdVFq7B005tt912zJ49m4033pinn36a888/nwMOOICRI0ey0047ceqpp/Kvf/0r7zIlSZIkSWozTz31FM8++2zD42233ZaNN944x4rKxxE87dSgQYPYaKONSCkBcNJJJzFhwgQ6d+7MDjvswEEHHcTSSy/t1CxJkiRJUodRU1PD66+/3vB48uTJ7WZGiyN42qH6q2FFBAApJWpra1luueXYfffdue+++zj22GMBp2ZJkiRJkjqO888/nxEjRrDGGmuQUuKtt97immuuybussjDgaYfqg52bbrqJzTffnLXXXpvOnTuTUuLdd9/lxhtvBGDevHl07mwXkCRJkiR1DNtttx2TJk3i3//+N5DNfunatWvOVZVHbp/uI6IGGA+8k1LaKa862pNPPvmEzp0706NHDwBmzJjB8ssv37A9Ith9990bHhvuSJIkSZI6kuuvv36BxxMnTgTggAMOyKGa8spzDZ5jgZdzPH+7MnnyZA4//HC22morfvWrXwFwxBFH0KdPHyALf6688so8S5QkSZIkKVdPPfUUTz31FCeddFLD/fHjx+ddVlnkMoQjIvoDOwKjgOPzqKG9+fGPf8x2223HWWedxamnnsp9993HZ599xmqrrcbQoUP56KOP8i5RkiRJkqRcXXrppQA8+uijDffbi6i/ylKbnjTij8CvgB7AiU1N0YqIw4DDAPr167fpmDFjKlrTzJkz6d69e0XPUSlvv/02v/71r7noootYaqml2GOPPdhyyy2ZOnUqPXr0YI899mCdddYBYMqET0gpNazTk4cu+Z26wcqbLL/ondrApy9+0HYnW7ELfDD3S82dO+d/JbWamiWghiXgfQDotATU0alzXd4l0KnL4r8PM2tWoHttGcPsFtRQEV3y/37ULdWyX9xDj78YgGcuOq71RbT9f1e+pNPc/IuYObcf3dPUvMsgzc3/Ig1pXv411FlDg9oy1TF3uW50+XRWi57bba1VylJDtfvw2SXjD7t9Nl4h7xKWSNX8ubO9Oeyww7jiiivyLqNFRowYMSGlNKxxe5uP4ImInYAPUkoTImJ4c/ullK4ArgAYNmxYGj682V3LYty4cVT6HJX0wgsvcNVVV9GrVy/WWGMNxo4dS0qJc845h4kTJ/L973+fbt268cMRt+ZdKit3yf8/yPvMGZ53CQD86ci2S4zj6H6ky97/UnvPFT5tsxqa06v3tLxLoGfv6XmXAED3vvnXsUyf/Gvo2m/x+8SjPQ7gazOuX/SOJapZaUbZjtUadavMzrsEZq/SshndS/d4B4Athrb+d13My//fjq7v5F/D/3vvGLapy3/Kde2HPfIugS+m9sy7BD7/IP8aZn6Ufw0A0z7qVZbjvLfrxqz052db9Nyh9+xXlhqq3e/3uC7vEgDYfepueZewRKr2z53twY9+9CMigk8//ZQ777yzof2SSy7JsaryyGOK1leBXSJiJLA00DMibkwp7Z9DLe3Gd7/7XSZMmEBtbS0zZszgvffeY6WVVmKzzTbjiiuuoFu3bnmXKEmSJElSroYNywa+bLrppjlXUn5tHvCklE4DTgMojOA50XCn9bbccku22GILIoLPPvuM66+/nrq6Om6//XZGjx4NQF1d/sP8JUmSJEnKy4EHHsisWbOYMmUKgwYNyrucssrzKlpqpd/+9rc88MADzJiRTSOoX1dn+PDhfPTRR3zxxRccccQRbLPNNqSU6NTJb7ckSZIkqeMaO3YsQ4YMYfvttweyy6TvsssuOVdVHrlcRateSmkcMC7PGqrVc889x9FHH81Xv/pVhg8fzt57780666xDly5d2Gqrrdhyyy1zXUhZkiRJkqQlzVlnncWTTz7ZsBbSkCFDmDx5cr5FlYlDOqrUyy+/zO9+9ztuuukmpk6dyo9//GOuuOIKpkyZAsDo0aN5++23qb9KmmGPJEmSJKmj69KlC716LbgwfHuZ7ZLrCB613Le+9S0+/fRTBgwYwOWXX86DDz7IJZdcwhNPPMGAAQO4/fbbOf744/MuU5IkSZKkJcb666/PzTffTG1tLZMmTeKSSy5h6623zrussmgfMVUHtPzyy7P66qs3PN52223585//zMiRI/nlL3/JOeecA0BtbW1eJUqSJEmStES59NJLefHFF+natSv77LMPPXv25OKLL867rLJwBE87UVtbS01NDSussAJbbLEFe+21FwA1NTU5VyZJkiRJ0pJhmWWWYdSoUYwaNaqh7b333mPOnDn07duXbt265Vhd6xjwtBM1NTWklOjXrx933HEHMD/0kSRJkiRJcNFFF32pbfTo0eyzzz7sv//+bLTRRjlUVR4GPFWkrq5ugcWfUkoLLJ4cEQt0RsMdSZIkSZLmO//88zniiCMWaKutreW8887LqaLyMeCpEimlhnBn1KhRHH744fTp0weYH/w4YkeSJEmSpOatvPLKnHnmmQu0/fnPf86nmDIz4KkSdXV11NTUcO655/Kzn/2MW265hcMPP5yjjz66Ifgx3JEkSZIkqXlvvfUWhx56KL1796Z///7suOOOC8yMqWYGPFUgpURNTQ1Tp07lpptuYtq0aUyePJnDDz+cO++8k912242pU6ey9957s9566+VdriRJkiRJS6QrrriC2tpaZs6cyRtvvMFuu+3GSy+9lHdZZeFl0qtAfZr4pz/9iZQSL774IhtttBH/+te/2H///TnmmGOYN28ef//735k2bVrO1UqSJEmStGTabbfd2HPPPTn44IP5+c9/zpNPPsmuu+7Ktttuy7hx4/Iur1UcwVNFDjnkEGbNmsVPfvIT1l9/fS655BL69evHHnvswahRo7606LIkSZIkSVrQrFmzmDJlCoMGDWKppZbitttuy7uksnAETxWpqanh2GOP5Q9/+ANvvfUW22+/PaecckrDAlEppZwrlCRJkiRpyXX33XczZMgQtt9+ewAmTpzILrvsknNV5eEIniVY/VWxnn32Wf7zn//w/PPPs/POO7P++utz1113se6667L11lszePBggAUuoS5JkiRJkhZ09tln8+STTzJ8+HAAhgwZwuTJk/MtqkxMBJZgNTU11NXVsddee3H33Xfz3nvvsddee3HOOecwd+5c9ttvP2bPns3LL79MXV1d3uVKkiRJkrRE69KlC7169Vqgrb0MlnAEzxKqfvTOX/7yF/baay/OPvtsAF544QV+8Ytf8Nprr3HGGWfw9ttv07Vr13bTISVJkiRJqpT111+fm2++mdraWiZNmsQll1zC1ltvnXdZZWHAs4Sqvyz6nnvuyciRIxvaN9hgA1ZYYQVuueUWzjnnHFZdddUcq5QkSZKWDOO2HpV3CQz/5+l5lyBpES699FJGjRpF165d2Wefffj2t7/NGWeckXdZZeGwjyVUXV0dffv25YorruDJJ59kq622Yvz48bz77rtMmjSpIWF0YWVJkiRJkkqzzDLLMGrUKJ566inGjx/PqFGjWHrppfMuqywMeJYw9WvpzJ49m88//5z999+fKVOmMHLkSLbccku22mor9thjj4YVv70suiRJkiRJpbn11lvZfffd+cc//sG6667LiiuuyI033ph3WWXhFK0lTP1aOqeccgovv/wy/fv35ytf+QqnnHIKRx11FMcccwynn346n376KSeddBIpJUMeSZIkSZJKcMYZZ/DLX/6S3XbbjfHjx9O9e3e222479t9//7xLazVH8CxB6qdbXXrppbzxxhtcffXV7LfffvTq1Yuf//znrLDCCtx0003ceuutPP7444AjeCRJkiRJKtWyyy7L7rvvzmqrrcZaa63FSiutRNeuXfMuqywcwbMEqQ9rPvzwQw444AAGDBjAgAEDWH311TnyyCN54IEH+J//+R9GjBjBiBEjcq5WkiRJkqTq8s4773DMMcfw7rvvcswxx5BS4p133sm7rLIw4FkCbbTRRpx88sl06dKF7373u6y11lpERMN0rPpLqEuSJEmSpNKdf/75AGy66aYNbcOGDcurnLIy4FkC1NXV0alTJ6ZOncq8efPYbbfd+OKLL3jwwQe5+OKLWW+99ZgzZw7f/va3AQx3JEmSJElqgQMPPJA5c+bw6quvAjBo0CC6dOmSc1XlYcCzBKhfWPncc89lueWW44wzzuDb3/42m2yyCRMnTqR3794MGTIEwNE7kiRJkiS10Lhx4zjwwAMZOHAgKSXefvttrrvuOrbZZpu8S2s1A56c1Y/eAfjhD3/IiSeeyGeffcYKK6xA79696dGjByuttFJDqGO4I0mSJElSy5xwwgk88MADDBo0CIBXX32VffbZhwkTJuRcWet5Fa2c1Yc7F1xwAWussQbdunVj991355BDDmGDDTbgrLPO4vPPP8+5SkmSJEmSqt/cuXMbwh2AddZZh7lz5+ZYUfk4gidntbW1fPrpp/z+97/nsssuIyI49NBD+eEPf8j06dPp1KkTPXr0aFhgWZIkSZIktcywYcM49NBD2X///QG46aab2s0iy47gyUlKCcimXK2wwgpMmjSJG264gaWWWooxY8bw7rvvMmDAAPr37w9guCNJkiRJUiv97ne/Y/DgwVxyySVccsklDB48mN/97nd5l1UWjuDJ2dVXX81HH33EjBkzOOyww/j3v//NL37xC9Zff32eeOIJNttss7xLlCRJkiSpXejatStHH3002223HZ06dWLQoEEstdRSeZdVFo7gyUFdXR0RwVNPPcWVV15Jv379uPHGG3nnnXcA+OlPf8qMGTMMdyRJkiRJKqN7772XNddck2OPPZajjz6atdZai/vuuy/vssrCETw5qF9Y+ZprruG8885j7ty5bLzxxmyxxRZMnjyZBx54gMMOOyznKiVJkiRJal9OOOEEHnroIdZaay0AXn/9dXbccUd22GGHnCtrPQOeHNRfGv1rX/sat956Kw8//DD33nsvABdeeCGdOnVqCIEkSZIkSVJ59OjRoyHcAVhjjTXo0aNHjhWVjwFPG5o0aRIPPvggn332Geuuuy7f/OY3GTt2LAMGDOCVV17htdde48EHH+SJJ54A5gdBkiRJkiSp9YYNG8bIkSPZc889iQhuv/12NttsM+68804Avve97+VcYcsZ8LSho48+mj59+jBgwAAmTpxI165dOeWUU7jvvvv4zW9+w4ABAzjvvPPo2bMntbW11NTU5F2yJEmSJEntxuzZs+nXrx8PP/wwAH379mXWrFmMHTuWiDDg0aJdffXV9O3blxtvvJGpU6dy8cUX89e//pXzzjuPtdZai9NOO22BUMdwR5IkSZKk8rrmmmvyLqFiDHjayIUXXkhEMGPGDPr27cvWW2/d0LG6d+8OGOpIkiRJklQJxxxzzEK3X3LJJW1USeUY8LSR559/nmOOOYZVVlmFQw89lCeffJI//OEPQDZEbOmll865QkmSJEmtcceg/8u7BKB73gUAcHaXW/MugTPn7pV3Cexcc/0Cj79z3rJcuN31zexdGWNrD2jT8y2p7rrrLs4555y8y6goA5420qlTJy677DKOO+44jj32WP75z3/y6quvst566xnuSJIkSZJUQb179+bAAw/Mu4yK8hJNbWyttdbi3nvv5Z577uGUU06hf//+vP3229TV1eVdmiRJkiRJ7VJE5F1CxRnw5GTkyJG88sornHzyyfTr18/LoUuSJEmSpBZzilbO6hd6qqurM+SRJEmSJKkCnn32WXr27Pml9pQSEcH06dNzqKq8DHiWEIY7kiRJkiRVRm1tbd4lVJypgiRJkiRJUpUz4JEkSZIkSapyBjySJEmSJElVzoBHkiRJkiSpyhnwSJIkSZIkVTkDHkmSJEmSpCpnwNNWjjsuu0mSJEmSpLbVAT6Td867gA5j4sS8K5AkSZIkqWPqAJ/JHcEjSZIkSZJU5Qx4JEmSJEmSqpwBjyRJkiRJUpUz4JEkSZIkSapyBjySJEmSJElVzoBHkiRJkiSpyhnwSJIkSZIkVTkDHkmSJEmSpCrXOe8COpIXHn6fM2puyLWGr7BUrudfUvyh37V5lwBAn955VyBJkiS1T0fErXmX4JCKIj27nZvr+e/9Ygpf32ZArjVUmt1NkiRJkiSpyhnwSJIkSZIkVTkDHkmSJEmSpCpnwCNJkiRJklTlDHgkSZIkSZKqnAGPJEmSJElSlTPgkSRJkiRJqnIGPJIkSZIkSVXOgEeSJEmSJKnKGfBIkiRJkiRVOQMeSZIkSZKkKmfAI0mSJEmSVOUMeCRJkiRJkqqcAY8kSZIkSVKVM+CRJEmSJEmqcgY8kiRJkiRJVc6AR5IkSZIkqcrlEvBExPYR8e+IeC0iTs2jBkmSJEmSpPaizQOeiKgB/g/YARgM7BMRg9u6DkmSJEmSpPYijxE8mwOvpZQmp5TmAGOA7+RQhyRJkiRJUrsQKaW2PWHE7sD2KaVDC4+/D2yRUjq60X6HAYcVHg4C/l3h0voAH1b4HFKe7ONq7+zj6gjs52rv7ONq7+zjKofVUkp9Gzd2zqOSUqSUrgCuaKvzRcT4lNKwtjqf1Nbs42rv7OPqCOznau/s42rv7OOqpDymaL0DrFr0uH+hTZIkSZIkSS2QR8DzFLB2RKweEUsBewN351CHJEmSJElSu9DmU7RSSvMi4mjgr0ANcHVK6cW2rqMJbTYdTMqJfVztnX1cHYH9XO2dfVztnX1cFdPmiyxLkiRJkiSpvPKYoiVJkiRJkqQyMuCRJEmSJEmqch0y4ImIqyPig4h4oahtSEQ8HhETI2J8RGyeZ41Sa0TEqhHxUES8FBEvRsSxhfbeEfG3iJhU+Lp83rVKLbGQPn5+RLwSEc9FxJ8iYrmcS5VapLk+XrT9hIhIEdEnrxql1lhYH4+IHxV+l78YEeflWafUGgv5/4qfPVURHXINnojYBpgJXJ9S2qDQ9gAwOqV0X0SMBE5OKQ3PsUypxSJiZWDllNLTEdEDmADsChwEfJxSOjciTgWWTymdkl+lUssspI/3Bx4sLOj/awD7uKpRc308pfRSRKwKXAmsC2yaUvowz1qllljI7/F+wOnAjimlLyJixZTSBzmWKrXYQvr5xfjZUxXQIUfwpJQeAT5u3Az0LNzvBfy3TYuSyiil9G5K6enC/RnAy8AqwHeA6wq7XUf2D4xUdZrr4ymlB1JK8wq7PU4W+EhVZyG/xwFGAyeT/d9FqkoL6eNHAuemlL4obDPcUdVaSD/3s6cqos0vk74EOw74a0RcQBZ8bZ1vOVJ5RMRAYCjwBNAvpfRuYdN7ZH8lk6paoz5e7GDg1jYvSCqz4j4eEd8B3kkpPRsR+RYmlUmj3+PnA1+PiFHAbODElNJTOZYnlUWjfn4cfvZUBXTIETzNOBL4cUppVeDHwFU51yO1WkR0B+4AjkspTS/elrL5mf71V1WtuT4eEacD84Cb8qpNKofiPk7Wp38C/CzPmqRyauL3eGegN7AlcBJwW5hmqso10c/97KmKMOCZ70DgzsL92wEXulJVi4guZP+Q3JRSqu/b7xfmAtfPCXbYs6pWM32ciDgI2AnYL3XEhebUbjTRx9cEVgeejYg3yaYgPh0RK+VXpdRyzfwe/w9wZ8o8CdQBLiauqtVMP/ezpyrCgGe+/wLfKNzfFpiUYy1SqxT+0nUV8HJK6aKiTXeT/YNC4etdbV2bVA7N9fGI2J5sbZJdUkqf51Wf1FpN9fGU0vMppRVTSgNTSgPJPghvklJ6L8dSpRZZyP9V/gyMKOyzDrAU4ELiqkoL6ed+9lRFdNSraN0CDCf7a8D7wJnAv4HfkA0LnQ0clVKakFeNUmtExNeA/wc8T/aXL8iG9T8B3AYMAN4C9kwpNV5wXFriLaSPXwJ0BT4qtD2eUjqi7SuUWqe5Pp5S+kvRPm8Cw7yKlqrRQn6P/x24GhgCzCFbg+fBPGqUWmsh/Xw6fvZUBXTIgEeSJEmSJKk9cYqWJEmSJElSlTPgkSRJkiRJqnIGPJIkSZIkSVXOgEeSJEmSJKnKGfBIkqQlVkR0ybsGSZKkamDAI0mSlggR0Tkijo+IxyLinYiYDZyTd11Lgoi4IyIOKtw/LyKOLvF5Z0bE1RUtbgkSETtGxMSI8P+4kqQOx8ukS5KUg4i4FjiwqOkj4HHgxJTSK7kUlaOICOAvwCrAmcCLQB3wTkppVp61LQki4hvAXcCywOvA11JKHy7iOSsCrwFDUkqTK1/lkiEiJgAXp5RuyLsWSZLakn/dkCQpP38HVi7cvgV0A/6Ua0X52R9YHfhqSulPKaVXU0qvGe5kUkoPAysCqwGDFxXuFBwKPNmRwp2Ca4Bj8i5CkqS2ZsAjSVJ+vkgpvVe4PQ2MBtaNiG4AETEwIlJE7BsRj0bE7Ih4JSK+VXyQiBgcEfdGxIyI+CAibomIlYq2X1s4zimNnndNof3EorZ1I+KBiPi0sC1FxEKH+xbv1+h2bdE+y0fEdRHxSUTMioi/R8T6RYfZCXgZGFt4He9HxOiIWKroGBERJ0fE64VjPB8R+zdRz7WLqOWgiJjZ6DmPFPYbVvS+N3cbXnjOKhExpvCaPil8D9ZudNzmjtWnaJ+dI2JC4fv7RkSMavS634yIE1NKc1JK/wVGFI5xz8K+L8C+wNhG9YwrPHevRu0PFdp3b1T3sKJ9ft5Ef2l4TlHbPfXvd0T8LCJeaFxYZNPwLomIsxbyPr9Z2Pespo5R2Da88fsJ3A0Mi4i1FvH+SJLUrhjwSJK0BIiIHsBewPNNjFo5D7gEGAL8DbgrIlYpPG9l4BHgBWBz4JtA98I+xf/OvwP8ICKi8LzlgJ2Bjxud62qykURfJxtZ9IMSX8IPmD8aaWWy0UnFrgW2AL5TqPNz4P4ohFlAX2BX4JXC9kOAfYBfFR3jF4X2HwKDC9t+HxE7NlFP8eioxrUsICK+Bwwtanq76LmbF9o2L2r7Z0QsAzwEzAa+AWwFvAv8vbCt4fCFr9sXnrtbo3N/G7gJuAxYHzgY2B34ZTO1dgIuAGY2tb1ov95k79H4Jja/AxxWtO8gYKFhSKG/HQcs7oiqq8lCy/r3sf58WwNXkb2W+vf1QuBfRY83W8xzAZBSmgK8T/Z9kSSpwzDgkSQpP9tHxMzCaJLpZB9I921iv9+llG4rrM1zLFkAcWRh25HAsymlU1JKL6eUngMOIAskhhUdYyIwDdiu8Pj7wD3AjEbnGgL8IaX0fErpPeDTEl/Lp0Wjkd4DvqjfUBjVsgtwWErpkZTS84Xz9wT2K+zWiWy9mKMKr+Me4FTg6IhYJiKWBY4HDk0p3Z9SeiOldDPwB7LAp1hXYGZTtTQW2VW6zgV+Xd+WUqoteu7UQvPUotc3B9ibLLz535TSc4XvzeFk4dpORaeovwpY/fEaB2qnA+enlK5JKb2eUnoIOAU4oj6Ma+QAYGmy9XgWZkChvv82se1eYHDRaKPDyMKWhRkF3Ap8sIj9FpBS+g9wP1lwVe9gYEJK6dmUUvH3aSYwp+h9ntrUMUv0X2BgK54vSVLVMeCRJCk/j5AFKkPIApl/AA9ExKqN9vtX/Z2UUh3wBNnoDIBNgW3qg6JCWPR2YduajY7ze7IQgsLX3zdR0xvAroVApVzWI1swufh1TAOeZ/7rAHi88PrqPQosRTa6ZDBZsHF/o9d6JF9+nSuQBWalOKqw702lvxwge99XB2YU1TINWL5RPb0KXz9byHFOb/SabiZbTHml4h0LI4N+AZwMzFtEffUjo2Y3sW0u2To1h0VEV7L1j65s7kARMQT4HnBGM7vc0Kj+7Rtt/wOwd0R0i4gasnBvUYFSY+sVjj8tsmmKZzUTgNWbxfz3QJKkDqFz3gVIktSBfZ5Seq3+QUQcShYSHEbzH6Yb60Q2IuPEJra93+jxzcCvImI3oC6l9K8mPiMfDFwHTI+IWUBNiXW0VP36Pp8sYp/6P0rtDExptH1uo8drAP9c1IkL09TOIAsvFveyop3IRkXt3cS24lE6Xykc+92FHOds4PYmtjUewXIC8GpKaWzhe7gw9YswL9/Muf9AdtW2l4EnUkr/WUhecgFwQUrp3Wb2OYlslE69Kxptv5dsSt5uZP17ObK+uDheB0aSvV+bkk39ervQ3pTefPn9kySpXTPgkSRpyZHIRros06h9S+BBaLic+ObAHwvbngb2BN5KKTUOOhY8eEozI+J2stEbpzWzzxMRcQewA1l48S3g0ha9mvleJvtgvhXZqCUioiewYaEWyNbe2T0iOhWN4vkaMIfsQ3wN2VSr1VJKDzZ3oojoTxbw/L8S6jodeDSl9EhEDFzM1/Q02RpBH6aUPl3IflsAk1JKzY3geRpYtzjoa0Y/suBveIn1vU42Mmkw8FLjjSmlNyLiGeBistfRnB3JRmDtspB93msUVH7e6FzzCosuH0wW8NxZGMG1OOYUnePViDiMbN2kLwU8EbE02SiqpxfzHJIkVTUDHkmS8tM15l/tanngaLI1XMY22u/IiHiVbErTUWSXyv5dYdv/kS1wfGtE/Jps1MIaZKHPCSmlxmvsnA+8CdzYVEER8R2y6VvDUkpvRsRGLX95mZTSpIi4i2xB5MPI1vUZRRZA1I/k+B3wY+C3EfGbwms4F7gspfR5obYLgAsKIdcjZO/VlmSjka6IiOXJ1tL5D/By0XvbFegWEb2KgoWuwBFko0Fa4iayUVN3RcTPyEYVrUq2iPTlhcd7ky1MfPZCjnMOcE9EvAXcRjb1agNg85TSyUX7HQnckVJ6ppTiUkp1EfF3spDsj83s9hOyNZnuW8ihTgJ+VP89aIUrydYWqiMLDRdXFIKb+hE8m5CtCdSULcnCwMdacB5JkqqWAY8kSfn5JvOnz8wgG8WyR0ppXKP9TiVbYHgT4C3gu4XFa0kp/Tcivkp2Ran7ydapmQI8QBOLC6eUXicLTr4kItYhG1GzT0rpzda8sCb8L9lokbsLNT4GbF9/xbCU0pSI2KlQ27NkU7ZuYsGRRmeQTTs7kSwQmk42Teq8wvbRzF+k+p0mapgFHFS43xm4NqX0akteTErp84jYplDv7WRr7fyX7MpanwAbF+o9hyxUa+44fy1cBeyMwuuaB7xKdtWxYp3IRhwtjiuAayPihJRSbRPnfppFj3J5jWzKXquklCZHxMNk4eS4FhxiMNn3r47sZ+YKsmlmX29i332Am8oQSkmSVFUipcWdci5JktpCYdrQG8BmKaWmLnetIoVpQONSStc2se0gYHhK6aC2rSpfEfEv4LcppRuWgFpeIgteRlXwHCuSTQkcllJ6o1LnkSRpSeRVtCRJUnsxjWyUR1NmFbZ3NIeT8//3IqJvRBxJdtnypq7cVk4DgaMMdyRJHZEjeCRJWkI5gkftQUQksqt6Hb8kjCSSJKm9MuCRJEmSJEmqck7RkiRJkiRJqnIGPJIkSZIkSVXOgEeSJEmSJKnKGfBIkiRJkiRVOQMeSZIkSZKkKvf/AcNtD9+AZbt9AAAAAElFTkSuQmCC\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 7))\n",
    "ax = data['women_time_m'].hist(bins=30)\n",
    "ax.yaxis.set_major_locator(MultipleLocator(4))\n",
    "ptchs = ax.patches\n",
    "med = data['women_time_m'].median()\n",
    "norm = Normalize(min(2*med-ptchs[-1].get_x(), ptchs[0].get_x()), med)\n",
    "\n",
    "for ptch in ptchs:\n",
    "    ptch_x = ptch.get_x()\n",
    "    color = plt.cm.plasma(norm(med-abs(ptch_x-med)))\n",
    "    ptch.set_facecolor(color)\n",
    "    if ptch_x <= med:\n",
    "        m_height = ptch.get_height() + 0.3\n",
    "    \n",
    "\n",
    "ax.set_xlabel(\"Время победителей (минуты)\", size=14)\n",
    "ax.set_ylabel(\"Количество побед\")\n",
    "\n",
    "ax.annotate(f'Медиана {min_to_mmss(med)}', (med, m_height+0.2))\n",
    "plt.plot([med,med],[0,m_height], 'r')\n",
    "\n",
    "ldr_time = ptchs[0].get_x()\n",
    "ldr_y_mark = ptchs[0].get_height() + 0.4\n",
    "ax.annotate(f'Рекорд {min_to_mmss(ldr_time)}', (ldr_time, ldr_y_mark+0.5), rotation=60)\n",
    "plt.plot([ldr_time, ldr_time], [0, ldr_y_mark], 'r')\n",
    "\n",
    "lst_time = ptchs[-1].get_x() + ptchs[-1].get_width()\n",
    "lst_y_mark = ptchs[-1].get_height() + 0.4\n",
    "ax.annotate(f'Проведено паркранов {number_parkruns}', (lst_time, lst_y_mark+0.5), rotation=90)\n",
    "plt.plot([lst_time, lst_time], [0, lst_y_mark], 'r')\n",
    "plt.title('Распределение времени победы (женщины)', size=16, fontweight='bold')\n",
    "\n",
    "plt.tight_layout()\n",
    "# plt.savefig('results.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cooked-investment",
   "metadata": {},
   "source": [
    "### Топ10 женских результатов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "essential-amsterdam",
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "     n        date           women_name women_time\n",
       "0   68  23/09/2017          Тома СИЗОВА      18:16\n",
       "1   67  16/09/2017          Тома СИЗОВА      18:44\n",
       "2   50  20/05/2017         Алсу ШАГИЕВА      18:47\n",
       "3   14  17/09/2016         Алсу ШАГИЕВА      18:53\n",
       "4    1  18/06/2016         Алсу ШАГИЕВА      18:57\n",
       "5   48  06/05/2017         Алсу ШАГИЕВА      19:02\n",
       "6   72  21/10/2017     Светлана КИРЕЕВА      19:08\n",
       "7   20  29/10/2016          Nina ZARINA      19:08\n",
       "8  175  14/09/2019  Екатерина БАШМАКОВА      19:13\n",
       "9  100  21/04/2018         Алсу ШАГИЕВА      19:13"
      ],
      "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>n</th>\n      <th>date</th>\n      <th>women_name</th>\n      <th>women_time</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>68</td>\n      <td>23/09/2017</td>\n      <td>Тома СИЗОВА</td>\n      <td>18:16</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>67</td>\n      <td>16/09/2017</td>\n      <td>Тома СИЗОВА</td>\n      <td>18:44</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>50</td>\n      <td>20/05/2017</td>\n      <td>Алсу ШАГИЕВА</td>\n      <td>18:47</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>14</td>\n      <td>17/09/2016</td>\n      <td>Алсу ШАГИЕВА</td>\n      <td>18:53</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1</td>\n      <td>18/06/2016</td>\n      <td>Алсу ШАГИЕВА</td>\n      <td>18:57</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>48</td>\n      <td>06/05/2017</td>\n      <td>Алсу ШАГИЕВА</td>\n      <td>19:02</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>72</td>\n      <td>21/10/2017</td>\n      <td>Светлана КИРЕЕВА</td>\n      <td>19:08</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>20</td>\n      <td>29/10/2016</td>\n      <td>Nina ZARINA</td>\n      <td>19:08</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>175</td>\n      <td>14/09/2019</td>\n      <td>Екатерина БАШМАКОВА</td>\n      <td>19:13</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>100</td>\n      <td>21/04/2018</td>\n      <td>Алсу ШАГИЕВА</td>\n      <td>19:13</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 21
    }
   ],
   "source": [
    "data.sort_values(by=['women_time_m']).drop(data.iloc[:,[2,3,4,5,8,9]], axis=1).reset_index(drop=True).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "chronic-safety",
   "metadata": {},
   "source": [
    "Среди женщин нет явных постоянных лидеров (участниц, которые регулярно выигрывают).\n",
    "А сильный разброс времени победительницы говорит также об очень слабой конкуренции и соревновательности."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "happy-grove",
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "leaders_avr_time = data.groupby('women_name')['women_time_m'].mean().sort_values(ascending=False)\n",
    "mm = data['women_time_m'].mean() * 1.02\n",
    "plt.figure(figsize=(7,7))\n",
    "plt.xlim([int(leaders_avr_time[-1]), 1.01 * mm])\n",
    "ax = leaders_avr_time[leaders_avr_time < mm][:30].plot(kind = 'barh', grid=True)\n",
    "for ptch, tick in zip(ax.patches, ax.yaxis.get_major_ticks()):\n",
    "    c = '#2ca02c' if ptch.get_width() < mm / 1.02 else '#1f77b4'\n",
    "    ptch.set_facecolor(c)\n",
    "    ax.annotate(\n",
    "        str(data['women_name'].value_counts()[tick.label.get_text()]), \n",
    "        (ptch.get_width()+0.03, ptch.get_y()+ptch.get_height()/5), size=8, color='r'\n",
    "        )\n",
    "ax.minorticks_on()\n",
    "ax.grid(b=False, which='major', axis='y')\n",
    "ax.grid(which='minor', axis='x', lw=0.5, ls=':')\n",
    "ax.xaxis.set_major_locator(MultipleLocator(1))\n",
    "ax.xaxis.set_minor_locator(MultipleLocator(1/6))\n",
    "ax.xaxis.tick_top()\n",
    "ax.yaxis.set_minor_locator(NullLocator())\n",
    "ax.set_ylabel(f'Участницы со средним временем победы до {min_to_mmss(mm)}')\n",
    "plt.title('Среднее время и суммарное число побед', size=16, fontweight='bold')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "determined-observation",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.6 64-bit",
   "language": "python",
   "name": "python38664bit1abcd6f326aa42be8eacd70a48930446"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6-final"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}