salarySoccerPrediction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Salary Prediction Soccer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kernel version 17 successfully pushed.  Please check progress at https://www.kaggle.com/agewerc/salarysoccerprediction\n"
     ]
    }
   ],
   "source": [
    "!kaggle kernels push -p \"C:/Users/hp/OneDrive/Content/Blog/sport-analytics/Github/kaggle/out\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 444,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Import Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 445,
   "metadata": {},
   "outputs": [],
   "source": [
    "soccer_data = pd.read_csv('input/fifa-20-complete-player-dataset/players_20.csv') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 446,
   "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>sofifa_id</th>\n",
       "      <th>player_url</th>\n",
       "      <th>short_name</th>\n",
       "      <th>long_name</th>\n",
       "      <th>age</th>\n",
       "      <th>dob</th>\n",
       "      <th>height_cm</th>\n",
       "      <th>weight_kg</th>\n",
       "      <th>nationality</th>\n",
       "      <th>club</th>\n",
       "      <th>...</th>\n",
       "      <th>lwb</th>\n",
       "      <th>ldm</th>\n",
       "      <th>cdm</th>\n",
       "      <th>rdm</th>\n",
       "      <th>rwb</th>\n",
       "      <th>lb</th>\n",
       "      <th>lcb</th>\n",
       "      <th>cb</th>\n",
       "      <th>rcb</th>\n",
       "      <th>rb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>158023</td>\n",
       "      <td>https://sofifa.com/player/158023/lionel-messi/...</td>\n",
       "      <td>L. Messi</td>\n",
       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
       "      <td>32</td>\n",
       "      <td>6/24/1987</td>\n",
       "      <td>170</td>\n",
       "      <td>72</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>FC Barcelona</td>\n",
       "      <td>...</td>\n",
       "      <td>68+2</td>\n",
       "      <td>66+2</td>\n",
       "      <td>66+2</td>\n",
       "      <td>66+2</td>\n",
       "      <td>68+2</td>\n",
       "      <td>63+2</td>\n",
       "      <td>52+2</td>\n",
       "      <td>52+2</td>\n",
       "      <td>52+2</td>\n",
       "      <td>63+2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>20801</td>\n",
       "      <td>https://sofifa.com/player/20801/c-ronaldo-dos-...</td>\n",
       "      <td>Cristiano Ronaldo</td>\n",
       "      <td>Cristiano Ronaldo dos Santos Aveiro</td>\n",
       "      <td>34</td>\n",
       "      <td>2/5/1985</td>\n",
       "      <td>187</td>\n",
       "      <td>83</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>...</td>\n",
       "      <td>65+3</td>\n",
       "      <td>61+3</td>\n",
       "      <td>61+3</td>\n",
       "      <td>61+3</td>\n",
       "      <td>65+3</td>\n",
       "      <td>61+3</td>\n",
       "      <td>53+3</td>\n",
       "      <td>53+3</td>\n",
       "      <td>53+3</td>\n",
       "      <td>61+3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>190871</td>\n",
       "      <td>https://sofifa.com/player/190871/neymar-da-sil...</td>\n",
       "      <td>Neymar Jr</td>\n",
       "      <td>Neymar da Silva Santos Junior</td>\n",
       "      <td>27</td>\n",
       "      <td>2/5/1992</td>\n",
       "      <td>175</td>\n",
       "      <td>68</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>Paris Saint-Germain</td>\n",
       "      <td>...</td>\n",
       "      <td>66+3</td>\n",
       "      <td>61+3</td>\n",
       "      <td>61+3</td>\n",
       "      <td>61+3</td>\n",
       "      <td>66+3</td>\n",
       "      <td>61+3</td>\n",
       "      <td>46+3</td>\n",
       "      <td>46+3</td>\n",
       "      <td>46+3</td>\n",
       "      <td>61+3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>200389</td>\n",
       "      <td>https://sofifa.com/player/200389/jan-oblak/20/...</td>\n",
       "      <td>J. Oblak</td>\n",
       "      <td>Jan Oblak</td>\n",
       "      <td>26</td>\n",
       "      <td>1/7/1993</td>\n",
       "      <td>188</td>\n",
       "      <td>87</td>\n",
       "      <td>Slovenia</td>\n",
       "      <td>Atlético Madrid</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>183277</td>\n",
       "      <td>https://sofifa.com/player/183277/eden-hazard/2...</td>\n",
       "      <td>E. Hazard</td>\n",
       "      <td>Eden Hazard</td>\n",
       "      <td>28</td>\n",
       "      <td>1/7/1991</td>\n",
       "      <td>175</td>\n",
       "      <td>74</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>...</td>\n",
       "      <td>66+3</td>\n",
       "      <td>63+3</td>\n",
       "      <td>63+3</td>\n",
       "      <td>63+3</td>\n",
       "      <td>66+3</td>\n",
       "      <td>61+3</td>\n",
       "      <td>49+3</td>\n",
       "      <td>49+3</td>\n",
       "      <td>49+3</td>\n",
       "      <td>61+3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 104 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   sofifa_id                                         player_url  \\\n",
       "0     158023  https://sofifa.com/player/158023/lionel-messi/...   \n",
       "1      20801  https://sofifa.com/player/20801/c-ronaldo-dos-...   \n",
       "2     190871  https://sofifa.com/player/190871/neymar-da-sil...   \n",
       "3     200389  https://sofifa.com/player/200389/jan-oblak/20/...   \n",
       "4     183277  https://sofifa.com/player/183277/eden-hazard/2...   \n",
       "\n",
       "          short_name                            long_name  age        dob  \\\n",
       "0           L. Messi       Lionel Andrés Messi Cuccittini   32  6/24/1987   \n",
       "1  Cristiano Ronaldo  Cristiano Ronaldo dos Santos Aveiro   34   2/5/1985   \n",
       "2          Neymar Jr        Neymar da Silva Santos Junior   27   2/5/1992   \n",
       "3           J. Oblak                            Jan Oblak   26   1/7/1993   \n",
       "4          E. Hazard                          Eden Hazard   28   1/7/1991   \n",
       "\n",
       "   height_cm  weight_kg nationality                 club  ...   lwb   ldm  \\\n",
       "0        170         72   Argentina         FC Barcelona  ...  68+2  66+2   \n",
       "1        187         83    Portugal             Juventus  ...  65+3  61+3   \n",
       "2        175         68      Brazil  Paris Saint-Germain  ...  66+3  61+3   \n",
       "3        188         87    Slovenia      Atlético Madrid  ...   NaN   NaN   \n",
       "4        175         74     Belgium          Real Madrid  ...  66+3  63+3   \n",
       "\n",
       "    cdm   rdm   rwb    lb   lcb    cb   rcb    rb  \n",
       "0  66+2  66+2  68+2  63+2  52+2  52+2  52+2  63+2  \n",
       "1  61+3  61+3  65+3  61+3  53+3  53+3  53+3  61+3  \n",
       "2  61+3  61+3  66+3  61+3  46+3  46+3  46+3  61+3  \n",
       "3   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
       "4  63+3  63+3  66+3  61+3  49+3  49+3  49+3  61+3  \n",
       "\n",
       "[5 rows x 104 columns]"
      ]
     },
     "execution_count": 446,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soccer_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Filter English, Spanish,  German and Italian Teams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 447,
   "metadata": {},
   "outputs": [],
   "source": [
    "EPL_list = ['Arsenal', 'Aston Villa', 'Bournemouth', 'Brighton & Hove Albion', \n",
    "            'Burnley', 'Chelsea', 'Crystal Palace','Everton', 'Leicester City', \n",
    "            'Liverpool', 'Manchester City', 'Manchester United', 'Newcastle United', \n",
    "            'Norwich City', 'Sheffield United', 'Southampton', 'Tottenham Hotspur', \n",
    "            'Watford', 'West Ham United', 'Wolverhampton Wanderers']\n",
    "\n",
    "La_liga_list = ['Real Madrid', 'FC Barcelona', 'Atlético Madrid', 'Sevilla FC', 'Villarreal CF', 'Getafe CF', \n",
    "                'Real Socieda', 'Valencia CF', 'Granada CF', 'Athletic Club de Bilbao', 'CA Osasuna', 'Levante UD','Real Betis', \n",
    "                'Real Valladolid CF', 'SD Eibar', 'RC Celta', 'Deportivo Alavés', 'RCD Mallorca', 'CD Leganes', 'RCD Espanyol']\n",
    "\n",
    "Bundesliga_list = ['FC Bayern München', 'Borussia Dortmund' 'RB Leipzig', 'Bayer 04 Leverkusen', \n",
    "                   'Borussia Mönchengladbach' , 'TSG 1899 Hoffenheim', 'Hertha BSC', 'VfL Wolfsburg',  \n",
    "                   'Eintracht Frankfurt', 'FC Schalke 04', 'SC Freiburg', 'FC Augsburg', 'FSV Mainz 05',\n",
    "                   'SV Werder Bremen', 'FC Köln German', 'Fortuna Düsseldorf', 'FC Union Berlin', 'SC Paderborn 07']\n",
    "\n",
    "Italian_League_list = ['Juventus', 'Lazio', 'Atalanta', 'Internazionale AS', 'Roma', 'Napoli' ,\n",
    "                       'Milan', 'Sassuolo', 'Hellas Verona', 'Bologna', 'Cagliari', 'Parma',\n",
    "                       'Fiorentina', 'Sampdoria', 'Udinese','Torino', 'Genoa','Lecce','Brescia','SPAL']\n",
    "\n",
    "european_league = EPL_list + La_liga_list+ Bundesliga_list + Italian_League_list\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 448,
   "metadata": {},
   "outputs": [],
   "source": [
    "soccer_data['new'] = 0\n",
    "soccer_data['new'] = soccer_data['club'].apply(lambda x: 1 if x in european_league else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 449,
   "metadata": {},
   "outputs": [],
   "source": [
    "soccer_data = soccer_data[soccer_data['new'] == 1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Filter Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 450,
   "metadata": {},
   "outputs": [],
   "source": [
    "soccer_data = soccer_data.dropna(axis='columns') # remove NA's\n",
    "soccer_data = soccer_data[soccer_data['player_positions'] != 'GK'] # remove Goalkeepers\n",
    "soccer_data = soccer_data.loc[:,~soccer_data.columns.str.contains('^goalkeeping', case=False)] # remove Goalkeepers skills \n",
    "soccer_data = soccer_data._get_numeric_data() # remove non-numerical data\n",
    "soccer_data= soccer_data.drop(columns=['sofifa_id', 'new','team_jersey_number', 'value_eur', 'overall', 'potential'])\n",
    "soccer_data = soccer_data.reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 451,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'age', 'height_cm', 'weight_kg', 'wage_eur',\n",
       "       'international_reputation', 'weak_foot', 'skill_moves',\n",
       "       'contract_valid_until', 'attacking_crossing', 'attacking_finishing',\n",
       "       'attacking_heading_accuracy', 'attacking_short_passing',\n",
       "       'attacking_volleys', 'skill_dribbling', 'skill_curve',\n",
       "       'skill_fk_accuracy', 'skill_long_passing', 'skill_ball_control',\n",
       "       'movement_acceleration', 'movement_sprint_speed', 'movement_agility',\n",
       "       'movement_reactions', 'movement_balance', 'power_shot_power',\n",
       "       'power_jumping', 'power_stamina', 'power_strength', 'power_long_shots',\n",
       "       'mentality_aggression', 'mentality_interceptions',\n",
       "       'mentality_positioning', 'mentality_vision', 'mentality_penalties',\n",
       "       'mentality_composure', 'defending_marking', 'defending_standing_tackle',\n",
       "       'defending_sliding_tackle'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 451,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soccer_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 452,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\hp\\Anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\tools.py:307: MatplotlibDeprecationWarning: \n",
      "The rowNum attribute was deprecated in Matplotlib 3.2 and will be removed two minor releases later. Use ax.get_subplotspec().rowspan.start instead.\n",
      "  layout[ax.rowNum, ax.colNum] = ax.get_visible()\n",
      "C:\\Users\\hp\\Anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\tools.py:307: MatplotlibDeprecationWarning: \n",
      "The colNum attribute was deprecated in Matplotlib 3.2 and will be removed two minor releases later. Use ax.get_subplotspec().colspan.start instead.\n",
      "  layout[ax.rowNum, ax.colNum] = ax.get_visible()\n",
      "C:\\Users\\hp\\Anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\tools.py:313: MatplotlibDeprecationWarning: \n",
      "The rowNum attribute was deprecated in Matplotlib 3.2 and will be removed two minor releases later. Use ax.get_subplotspec().rowspan.start instead.\n",
      "  if not layout[ax.rowNum + 1, ax.colNum]:\n",
      "C:\\Users\\hp\\Anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\tools.py:313: MatplotlibDeprecationWarning: \n",
      "The colNum attribute was deprecated in Matplotlib 3.2 and will be removed two minor releases later. Use ax.get_subplotspec().colspan.start instead.\n",
      "  if not layout[ax.rowNum + 1, ax.colNum]:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1524c3c6ec8>"
      ]
     },
     "execution_count": 452,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Wjfj4eLZs2cKKFSv45JNP2Lp1K0uWLGHPnj1s3LgRvV5f4h2BGjVqaD/fir20eoQQjy9VVY2AcwlfeZay/lxgbqUG9RC0bNmSxMRENm3axOTJk7W7qa6urvz0008MGDCgwofT30vZpeWv0nJBacuLLrs9/93KHVDwuLeHhwdr164lLS0Nd3f3MssNDAzktddeo2bNmvj5+WmNDyHEE89DVdWLRT6HAltUVZ2vKEpo4ecQRVHaAm8ANhSMeI1RFKXl43pDouj1sImJifbZxMSE3NzcEs+BiqLQoUMHTpw4QUZGBuvWrWPatGkA5OfnExcXp92wLakuExOTYm2IW3WpqoqNjQ1xcXFlxnq/bY77yQNl5aJ///vfdOvWrdjyop1dpa0TGxtbLC+Vpx1XVhulpDaNEE+6Sp34+2mVlZVFvXr1sLCw4MiRI+zeXfAyJDMzM613vlatWtqdg1vbNGrUCDMzM7Zt28bp06cB8PT0ZOXKlVy6dAmg2ONq3t7ehIaG4uPjU6ysu3FxcdHuehS9A10SLy8vli5dyrVr1+6o/5bWrVuTlpbGiRMnAPjmm2/o0qUL2dnZZGVl0aNHDxYtWqR1JqWmptK+fXtmz56NlZUVZ8+evae4O3XqxI8//siNGzfIzs7WHjMRQojHTXp6OhYWFgwaNIiJEyeyb98+oOBx4gYNGpT7zaNluZeyS8tfHTp0YPv27Zw6dQr4v1zg5eVV7DGIW4/LNW7cmMOHD5Ofn6/dDS6tvmbNCl4Q+NVXX2nLvby8WLJkiXYxfqu+pk2b0rRpU9577z0CAgLu8wgIIZ4gvYCvC3/+GuhdZPkKVVX/VlX1FHACaFcF8T0Ubm5uREVFAQWdI1ZWVtSuXRtFUejTpw8TJkygTZs22iic28/ZJd3oLU2rVq3IyMjQOplycnI4ePBgmdvc3t4pyf3kgdatW5Oens7evXsBuHLlCrm5uXTr1o3Fixdr7axjx45x9erVYvXcyzq34ikpD0LxtlxRbm5uREdHk5eXR0ZGBjt27KBduyf2z06Iu3ribwFWxStCvb29WbJkCTqdjlatWuHi4gLAyJEj0el0ODo6EhUVhaurK7a2tnTv3p2QkBBee+01nJ2d0ev1tG7dGigYGjt16lS6dOmCqakpDg4OxU7Afn5+XLlyhZ49e97z2xsWLVrEoEGD+OCDD/Dx8aFOnTpl7ovRaMTZ2Znq1avTo0ePO96sULNmTSIjI/Hz89Mm/h41ahSXL1+mV69e2l3wjz76CIBJkyZx/PhxVFXF09MTe3t7tm/ffte4DQYDPXv2xN7enhdeeAFnZ+cyYxdCiHtRFXkiJSWFSZMmaXeMFy9eTP/+/YGCc/SwYcMIDg5mwYIFFVrv3couLX81bNiQiIgI+vbtS35+Po0aNWLz5s1MmzaN0aNHY2tri6mpKTNnzqRv377Mnz8fX19fnn/+eWxtbUuduDw4OJihQ4fy4Ycf0rVrV2358OHDOXbsGDqdDjMzM0aMGMGYMWMAGDhwIBkZGQ/9TapCiCqjAr8oiqIC/yl8uUNjVVXPAxS+JKJR4brNgN1Ftj1XuOyBVEWeuBdhYWEEBgai0+mwsLDg66+/1r7z9/fHYDAUazeEh4czevRodDodubm5uLm53XV+1luqV6/OqlWrGDduHFlZWeTm5jJ+/HhsbGxK3cbDw4P58+ej1+tLnfj7fvNAdHQ0Y8eO1SYKj4mJYfjw4aSlpeHo6IiqqjRs2FCbGqRoeXdbB0rPg3BnW+6WPn36EBcXh729PYqisGDBAp599lmOHDlyT8dWiCeN8jg/guTs7KwmJCQUW3b48GHatGlTRRE9Hq5du4a5uTmKorBixQq+++471q9ff/cNHwHZ2dlYWlpy7do13NzciIiIwNHRsarDqhRP8t+yvHHi4VAUJVFV1ZIeRXtqSJ548owZMwYHBwfeeuut+9pOfu+PF3m7XOV7XHKEoihNVVVNL+xI2kzBXH4/qKpat8g6f6qqWk9RlE+BOFVVvy1c/iWwSVXV1beVORIYCfCPf/zD6dYTBLfI+UJUlYfxt/ekTPwt1/qVr7x54okfySTulJiYyJgxY1BVlbp162pvhXgcjBw5kkOHDnHjxg2GDh36xHYwCSGEuJOTkxPPPPMMH3zwQVWHIoR4SFRVTS/89w9FUdZS8PjbBUVRmhSOYmoC/FG4+jng+SKbPwekl1BmBBABBTcjKjN+IYR42kgn01Ooc+fOJCUlFVuWkpLC4MGDiy2rUaMGe/bseZih3dXy5curOgQhhHhkREZG8vHHHxdb5urqyqefflrmdpcuXcLT88651bds2VLmG3SqWmJiYlWHIIR4iBRFeQYwUVX1SuHPXsBs4AdgKDC/8N9bQ/J/AJYrivIhBRN/twDiH3rg4g7lzVdCiMePdDIJoOD1pPcz+Z8QQoiqFxgYSGBg4H1v16BBAznnCyEeB42BtYVvFKsGLFdV9WdFUfYCKxVFeQs4A/gBqKp6UFGUlcAhIBcY/bi+We5JU958JYR4/EgnkxBCCCGEEOKRo6rqScC+hOWXgDuHYxZ8NxeYW8mhCSGEKIVJVQcghBBCCCGEEEIIIR5/0skkhBBCCCGEEEIIIR6YdDIJIYQQQgghhBBCiAf25M/JdPSnii2vVfdybzpv3jymTJkCQGZmJsuXL+edd94pV1kBAQH4+vrSv3//YsuHDx/OhAkTaNu2bbnjvN2kSZPYtGkTPXr04KWXXsLCwoIhQ4aUun5CQgLLli0jPDy8xO9jY2NZuHAhGzZsuOO7yohfCCHK9IjkCWtraxISErCysiq2vGPHjvz222+kpaXh6+vLgQMHyjyPAnz11VckJCTwySeflCuWR0WPHj1Yvnw5devWrepQhBBPs0ckTzxujEYj6enp9OjRo9LquJe2w7p162jZsuUj0754UnK0EKV58juZHiG3dzJ99tln5e5kKs0XX3xRoeUB/Oc//yEjI4MaNWrc0/rOzs44OzuXq67KiF8IIR5nv/32W1WHUGU2bdpU1SEIIYQoJ6PRSEJCQqV1MuXl5d1T22HdunX4+vo+Mp1MQjzp5HG5StK7d2+cnJywsbEhIiKC0NBQrl+/jl6vZ+DAgYSGhpKamoper2fSpElkZ2fj6emJo6MjdnZ2rF+/Xitr2bJl6HQ67O3tGTx48B11TZ8+nYCAAPLz83F3dychIQEAS0tLpk6dir29PS4uLly4cAGA1NRUXFxcMBgMzJgxA0tLy1L3o2fPnly9epX27dsTHR1NWFgYCxcuBMDd3Z2QkBDatWtHy5Yt+fXXX4GCkUq+vr4AbN++Hb1ej16vx8HBgStXrgCQnZ1N//79ad26NQMHDkRVVa3MioxfCCEeRVevXsXHxwd7e3tsbW2Jjo7Wvrt+/Tre3t58/vnnAA98jjt9+jSenp7odDo8PT05c+YMUDAidty4cXTs2JEXX3yRVatWAZCfn88777yDjY0Nvr6+9OjRQ/uuJNbW1louaNeuHSdOnADgxx9/pH379jg4OPDKK69o5/CS8sL58+dxc3NDr9dja2ur5RNra2suXrxIWloabdq0YcSIEdjY2ODl5cX169cB2Lt3Lzqdjg4dOjBp0iRsbW0f6HgJIcSjIC0tjdatWzN8+HBsbW0ZOHAgMTExuLq60qJFC+Lj47l8+TK9e/dGp9Ph4uJCcnIy+fn5WFtbk5mZqZX18ssvc+HCBTIyMujXrx8GgwGDwcCuXbsACAsLY+jQoXh5eWFtbc2aNWsIDg7Gzs4Ob29vcnJyAEhMTKRLly44OTnRrVs3zp8/D5TcJrh58yYzZswgOjoavV5fLM8VVVJOiI2Nxc3NjT59+tC2bVtGjRpFfn4+UJATZ8yYQfv27YmLi7tr2+G3337jhx9+YNKkSej1elJTU0uMIzw8nLZt26LT6XjjjTe04zJ48GC6du1KixYttLwM8P7772MwGNDpdMycOVNb/u2339KuXTv0ej3//Oc/ycvLAyAyMpKWLVvSpUsX7bgL8aSSTqZKsnTpUhITE0lISCA8PJxJkyZhbm6O0WgkKiqK+fPn89JLL2E0Gnn//fepWbMma9euZd++fWzbto3/+Z//QVVVDh48yNy5c9m6dStJSUl8/PHHxeoJDg7mjz/+IDIyEhOT4r/Oq1ev4uLiQlJSEm5ubtqJMSgoiKCgIPbu3UvTpk3L3I8ffvhBi9vf3/+O73Nzc4mPj2fRokXMmjXrju8XLlzIp59+itFo5Ndff8Xc3ByA/fv3s2jRIg4dOsTJkydLPNlWRPxCCPEo+vnnn2natClJSUkcOHAAb29voKAD/rXXXmPAgAGMGDGiQuoaM2YMQ4YMITk5mYEDBzJu3Djtu/Pnz7Nz5042bNhAaGgoAGvWrCEtLY2UlBS++OIL4uLi7lpH7dq1iY+PZ8yYMYwfPx6ATp06sXv3bvbv388bb7zBggULgJLzwvLly+nWrRtGo5GkpCT0ev0ddRw/fpzRo0dz8OBB6taty+rVqwEIDAxkyZIlxMXFYWpq+sDHSwghHhUnTpwgKCiI5ORkjhw5wvLly9m5cycLFy5k3rx5zJw5EwcHB5KTk5k3bx5DhgzBxMSEXr16sXbtWgD27NmDtbU1jRs3JigoiHfffZe9e/eyevVqhg8frtWVmprKxo0bWb9+PYMGDcLDw4OUlBTMzc3ZuHEjOTk5jB07llWrVpGYmMiwYcOYOnWqtv3tbYLq1asze/Zs/P39S21HQOlthfj4eD744ANSUlJITU1lzZo1QEH7wNbWlj179tCpU6diZZXUdujYsSM9e/bk/fffx2g08tJLL5UYx/z589m/fz/JycksWbJEW56cnMzGjRuJi4tj9uzZpKen88svv3D8+HHi4+MxGo0kJiayY8cODh8+THR0NLt27cJoNGJqakpUVBTnz59n5syZ7Nq1i82bN3Po0KFy/DUI8fiQTqZKEh4ervWinz17luPHj5e5vqqqTJkyBZ1OxyuvvMLvv//OhQsX2Lp1K/3799fm6Khfv762zZw5c8jMzOQ///kPiqLcUWb16tW1EUVOTk6kpaUBEBcXh5+fHwADBgx4oP3s27fvHeUX5erqyoQJEwgPDyczM5Nq1Qqe0GzXrh3PPfccJiYm6PX6Erd9GPELIURVsLOzIyYmhpCQEH799Vfq1KkDQK9evQgMDCxz3rv7FRcXp50rBw8ezM6dO7XvevfujYmJCW3bttVGGu3cuRM/Pz9MTEx49tln8fDwuGsdb775pvbvrU6pc+fO0a1bN+zs7Hj//fc5ePAgUHJeMBgMREZGEhYWRkpKCrVq1bqjjubNm2udT7dyQmZmJleuXKFjx46A5AQhxJOlefPm2NnZYWJigo2NDZ6eniiKgp2dHWlpaezcuVN7yqFr165cunSJrKws/P39tZFDK1as0Dp4YmJiGDNmDHq9np49e/LXX39pTxl0794dMzMz7OzsyMvL025+3Krr6NGjHDhwgFdffRW9Xs97773HuXPntFjv1iYoTVlthRdffBFTU1PefPNNLXeZmprSr1+/Essqre1wL3Q6HQMHDuTbb7/VYoCCvGxubo6VlRUeHh7Ex8fzyy+/8Msvv+Dg4ICjoyNHjhzh+PHjbNmyhcTERAwGA3q9ni1btnDy5En27NmDu7s7DRs2pHr16qV2uAnxpJBOpkoQGxtLTEwMcXFxJCUl4eDgwI0bN8rcJioqioyMDBITEzEajTRu3JgbN26gqmqJHUgABoOBxMRELl++XOL3ZmZm2rampqbk5uY+2I6V4NY8TaWVHxoayhdffMH169dxcXHhyJEjxbYra9uHEb8QQlSFli1bkpiYiJ2dHZMnT2b27NlAwcX2Tz/9pD1CXBmK5pSi5+JbdZan7qJl3vp57NixjBkzhpSUFP7zn/9oebCkvODm5saOHTto1qwZgwcPZtmyZXfUUVLeqMzjJIQQVa3oec/ExET7bGJiUuo5UFEUOnTowIkTJ8jIyGDdunVaB1B+fj5xcXEYjUaMRiO///671qlftOyi1+BF67KxsdG2TUlJ4Zdffrkj1vu9Zi+trXB7++fW55o1a5Y6avVB2g4bN25k9OjRJCYm4uTkpG1bUhyqqjJ58mTtWFhjEokAACAASURBVJw4cYK33noLVVUZOnSotvzo0aOEhYWVWI4QTzLpZKoEWVlZ1KtXDwsLC44cOcLu3buBghPfrWeaa9Wqpd05uLVNo0aNMDMzY9u2bZw+fRoAT09PVq5cyaVLlwCKdSh5e3sTGhqKj49PsbLuxsXFRXvMYMWKFQ+2s3eRmpqKnZ0dISEhODs7a4njQTzM+J9GV7Zuq/T/hHjapaenY2FhwaBBg5g4cSL79u0DYPbs2TRo0KBCXwrRsWNH7VwZFRV1x+MFt+vUqROrV68mPz+fCxcuEBsbe9c6bt0xj46OpkOHDkBBXmvWrBkAX3/9tbZuSXnh9OnTNGrUiBEjRvDWW29px+Nu6tWrR61atbQ8KzlBCPE0cXNzIyoqCii4yW1lZUXt2rVRFIU+ffowYcIE2rRpQ4MGDQDw8vIq9kYzo9F4z3W1atWKjIwMbbRqTk6ONkK1NLe3d0pSWlshPj6eU6dOkZ+fT3R09F1z14PEkZ+fz9mzZ/Hw8GDBggVkZmaSnZ0NwPr167lx4waXLl0iNjYWg8FAt27dWLp0qbbO77//zh9//IGnpyerVq3ijz/+AArabadPn6Z9+/bExsZy6dIlcnJy+P7778u9L0I8Dp78t8tVwStCvb29WbJkCTqdjlatWuHi4gLAyJEj0el0ODo6EhUVhaurK7a2tnTv3p2QkBBee+01nJ2d0ev1tG7dGgAbGxumTp1Kly5dMDU1xcHBga+++kqry8/PjytXrtCzZ897fgvPokWLGDRoEB988AE+Pj7aYxqVYdGiRWzbtg1TU1Patm1L9+7d72l+j7uV+bDiF0I8BaogT6SkpDBp0iTtjvHixYvp378/UHCOGzZsGMHBwdo8Rg8iPDycYcOG8f7779OwYUMiIyPLXL9fv35s2bIFW1tbWrZsSfv27e96nv37779p3749+fn5fPfdd0DBhKl+fn40a9YMFxcXTp06pe3f7XlhxYoVvP/++5iZmWFpaVniSKbSfPnll4wYMYJnnnkGd3d3yQlCiIpXBXniXoSFhREYGIhOp8PCwqJYh76/vz8Gg6FYuyE8PJzRo0ej0+nIzc3Fzc2t2PxDZalevTqrVq1i3LhxZGVlkZuby/jx47GxsSl1Gw8PD+bPn49er2fy5MklPiZWWluhQ4cOhIaGkpKSok0CXl5vvPEGI0aMIDw8nFWrVt0xL1NeXh6DBg0iKysLVVV59913qVu3LlDw2J6Pjw9nzpxh+vTpNG3alKZNm3L48GHtpoqlpSXffvstbdu25b333sPLy4v8/HzMzMz49NNPcXFxISwsjA4dOtCkSRMcHR21CcGFeBIpj/NQc2dnZ/XW2wRuOXz4MG3atKmiiB4P165dw9zcHEVRWLFiBd99912xt9k96h73+O9VVf0tPykjjWp1vfs8Mk86RVESVVV1ruo4qpLkifLJzs7G0tKSS5cu0a5dO3bt2sWzzz5b4rrW1tYkJCRocwc+bLdihYKJW8+fP3/HSzJAfu+Pm9izsZVeh/vz7pVex6NMckQByROPntjYWBYuXMiGDRuqNI6wsDAsLS2ZOHHiQ6vzYfztybW+uFflzRNP/kgmcYfExETGjBmDqqrUrVuXpUuXVnVI9+Vxj18IIR51vr6+ZGZmcvPmTaZPn15qB9OjYOPGjfzv//4vubm5vPDCC8Xu2gshhBBCiIdLOpmeQp07dyYpKanYspSUFO3tFLfUqFGDPXv2PMzQ7klJ8QshxNMoMjLyjlE7rq6ufPrppw9UbknzMPXp00d75O2Wf/3rX/f19p7K4O/vL2/qEUKIR9z95Ct3d3fc3d0rJY7Ro0eza9euYsuCgoIIDAy8Y91bk3YLIe6PdDIJoOD1pPcz+Z8QQoiqFxgYWOKFcWVYu3btQ6lHCCHEk+dh5quyPOhNGCHE3cnb5YQQQgghhBBCCCHEA5NOJiGEEEIIIYQQQgjxwKSTSQghhBBCCCGEEEI8MOlkEkIIIYQQQgghhBAP7Imf+Dv2bGyFluf+vHu5t503bx5TpkwBIDMzk+XLl/POO++Uq6yAgAB8fX3p379/seXDhw9nwoQJtG3bttxxFhUbG8vChQvZsGFDhZRXlKWlJdnZ2aSnpzNu3DhWrVpV4XUIIcTdPCp5wtramoSEBKysrIot79ixI7/99htpaWn4+vpy4MCBu56bw8LCsLS0ZOLEifdc/61zctF6KlNsbCzVq1enY8eO97VdaflPCCEqy6OSJx43RqOR9PR0evToUaHl9ujRg+XLl1O3bt0S2xOVVa8Q4t5UaieToihpwBUgD8hVVdVZUZT6QDRgDaQBr6uq+mfh+pOBtwrXH6eq6n8rM76H7fZOps8++6zcnUyl+eKLLyq0vIehadOmj20Hk6qqqKqKiYkMChRCVI7ffvutqkOoFLGxsVhaWpbYyZSbm0u1ak/8fbDHVkU3uIUQTyaj0UhCQkKFd/Zs2rTpjmVF2xOVVa8Q4t48jJaxh6qqelVVnQs/hwJbVFVtAWwp/IyiKG2BNwAbwBv4TFEU04cQX6Xo3bs3Tk5O2NjYEBERQWhoKNevX0ev1zNw4EBCQ0NJTU1Fr9czadIksrOz8fT0xNHRETs7O9avX6+VtWzZMnQ6Hfb29gwePPiOuqZPn05AQAD5+fm4u7uTkJAAFNyVnjp1Kvb29ri4uHDhwgUAUlNTcXFxwWAwMGPGDCwtLcvcl+zsbPr370/r1q0ZOHAgqqoCkJiYSJcuXXBycqJbt26cP38egM8//xyDwYC9vT39+vXj2rVrAJw6dYoOHTpgMBiYPn26Vn5aWhq2trYAfPXVV/Tt2xdvb29atGhBcHCwtt6XX35Jy5YtcXd3Z8SIEYwZM6bUmH/88Ufat2+Pg4MDr7zyirbv2dnZBAYGYmdnh06nY/Xq1QD8/PPPODo6Ym9vj6enJ1AwEmDhwoVamba2tqSlpZGWlkabNm145513cHR05OzZs7z99ts4OztjY2PDzJkztW327t1Lx44dsbe3p127dly5coXOnTtjNBq1dVxdXUlOTi7zdyCEeLJcvXoVHx8f7O3tsbW1JTo6Wvvu+vXreHt78/nnnwPc9RxdmqSkJLp27UqLFi20ssrKNfcqLy+PiRMnaufRf//73wBs2bIFBwcH7OzsGDZsGH///TdQMEJr5syZWp1HjhwhLS2NJUuW8NFHH6HX6/n1118JCAhgwoQJeHh4EBISgtFoxMXFBZ1OR58+ffjzzz/LdRyEEOJxlJaWRuvWrRk+fDi2trYMHDiQmJgYXF1dadGiBfHx8Vy+fJnevXuj0+lwcXEhOTmZ/Px8rK2tyczM1Mp6+eWXuXDhAhkZGfTr1w+DwYDBYGDXrl1AwTXv0KFD8fLywtramjVr1hAcHIydnR3e3t7k5OQApV/7u7u7ExISQrt27WjZsiW//vorN2/eZMaMGURHR6PX64vluaLi4+Pp2LEjDg4OdOzYkaNHjwJw7do1Xn/9dXQ6Hf7+/rRv315r41hbW3Px4sU7jpetrW2J9bZo0YKMjAwA8vPzefnll+/YXghRcapi+EUv4OvCn78GehdZvkJV1b9VVT0FnADaVUF8FWLp0qUkJiaSkJBAeHg4kyZNwtzcHKPRSFRUFPPnz+ell17CaDTy/vvvU7NmTdauXcu+ffvYtm0b//M//4Oqqhw8eJC5c+eydetWkpKS+Pjjj4vVExwczB9//EFkZOQdo2muXr2Ki4sLSUlJuLm5aY2MoKAggoKC2Lt3L02bNr3rvuzfv59FixZx6NAhTp48ya5du8jJyWHs2LGsWrWKxMREhg0bxtSpUwHo27cve/fuJSkpiTZt2vDll19q9b799tvs3buXZ599ttT6jEYj0dHRpKSkEB0dzdmzZ0lPT2fOnDns3r2bzZs3c+TIkTJj7tSpE7t372b//v288cYbLFiwAIA5c+ZQp04dUlJSSE5OpmvXrmRkZDBixAhWr15NUlIS33///V2PydGjRxkyZAj79+/nhRdeYO7cuSQkJJCcnMz27dtJTk7m5s2b+Pv78/HHH5OUlERMTAzm5uYMHz6cr776CoBjx47x999/o9Pp7lqnEOLJ8fPPP9O0aVOSkpI4cOAA3t7eQEEn0GuvvcaAAQMYMWLEA9WRnJzMxo0biYuLY/bs2aSnp5eaa+5HREQEp06dYv/+/SQnJzNw4EBu3LhBQECAdu7Ozc1l8eLF2jZWVlbs27ePt99+m4ULF2Jtbc2oUaN49913MRqNdO7cGSg4J8bExPDBBx8wZMgQ/vWvf5GcnIydnR2zZs16oOMhhBCPmxMnThAUFERycjJHjhxh+fLl7Ny5k4ULFzJv3jxmzpyJg4MDycnJzJs3jyFDhmBiYkKvXr1Yu3YtAHv27MHa2prGjRsTFBTEu+++y969e1m9ejXDhw/X6kpNTWXjxo2sX7+eQYMG4eHhQUpKCubm5mzcuLHMa38oGIEaHx/PokWLmDVrFtWrV2f27Nn4+/tjNBrx9/cvcR9bt27Njh072L9/P7Nnz9ae+vjss8+oV68eycnJTJ8+ncTExHs6ZiXVO2jQIKKiogCIiYnB3t7+jkfThRAVp7LHoqvAL4qiqMB/VFWNABqrqnoeQFXV84qiNCpctxmwu8i25wqXPZbCw8O1k/vZs2c5fvx4meurqsqUKVPYsWMHJiYm/P7771y4cIGtW7fSv39/7URYv359bZs5c+bQvn17IiIiSiyzevXq+Pr6AuDk5MTmzZsBiIuLY926dQAMGDDgrnN2tGvXjueeew4AvV5PWloadevW5cCBA7z66qtAwZ3tJk2aAHDgwAGmTZtGZmYm2dnZdOvWDYBdu3ZpI4cGDx5MSEhIifV5enpSp04dANq2bcvp06e5ePEiXbp00fbfz8+PY8eOlRrzuXPn8Pf35/z589y8eZPmzZsDBYllxYoV2nr16tXjxx9/xM3NTVun6DEuzQsvvICLi4v2eeXKlURERJCbm8v58+c5dOgQiqLQpEkTDAYDALVr19ZinzNnDu+//z5Lly4lICDgrvUJ8aR6Wh+rtrOzY+LEiYSEhODr66t1svTq1Yvg4GAGDhz4wHX06tULc3NzzM3N8fDwID4+Hh8fnxJzTVkd/7eLiYlh1KhR2uNs9evXJykpiebNm9OyZUsAhg4dyqeffsr48eOBgpsPUJCL1qxZU2rZfn5+mJqakpWVRWZmJl26dNHK8/PzK9dxEEKIx1Xz5s2xs7MDwMbGBk9PTxRFwc7OjrS0NE6fPq1dW3ft2pVLly6RlZWFv78/s2fPJjAwkBUrVmgdPDExMRw6dEgr/6+//uLKlSsAdO/eHTMzM+zs7MjLy9Nuftyq6+jRo6Ve+0Px83xaWto972NWVhZDhw7l+PHjKIqijZrauXMnQUFBQMHTBA9yQ3bYsGH06tWL8ePHs3TpUgIDA8tdlrg3SWcz777SA+pU6TWI8qrsTiZXVVXTCzuSNiuKUtbwE6WEZXfcXlUUZSQwEuAf//hHxURZwWJjY4mJiSEuLg4LCwvc3d25ceNGmdtERUWRkZFBYmIiZmZmWFtbc+PGDVRVRVFKOjRgMBhITEzk8uXLJXaMmJmZaduampqSm5tbrv2pUaOG9vOtclRVxcbGhri4uDvWDwgIYN26ddjb2/PVV18RGxurfVfavtxLffdj7NixTJgwgZ49exIbG0tYWBhAiceztGNcrVo18vPztc9Ff4fPPPOM9vOpU6dYuHAhe/fupV69egQEBJT5u7OwsODVV19l/fr1rFy5Uhv6K8RTzENV1aLj1m89Vj1fUZTQws8htz1W3RSIURSlpaqqeQ8/5AfTsmVLEhMT2bRpE5MnT8bLywsoeHz2p59+YsCAAfd0vizL7dsrilJqrrkfpZ1Hy3LrvH63XFT03CqEEE+7otfEJiYm2mcTE5NS565TFIUOHTpw4sQJMjIyWLduHdOmTQMKHhWLi4vD3Ny81LpMTEyKtSFu1VXWtX/R7e+3zTF9+nQ8PDxYu3YtaWlpuLu7A3fPK/fj+eefp3HjxmzdupU9e/Zoo5qEEJWjUh+XU1U1vfDfP4C1FDz+dkFRlCYAhf/+Ubj6OeD5Ips/B6SXUGaEqqrOqqo6N2zYsDLDL7esrCzq1auHhYUFR44cYffuggFaZmZmWu98rVq1tDsHt7Zp1KgRZmZmbNu2jdOnTwMFo3pWrlzJpUuXALh8+bK2jbe3N6Ghofj4+BQr625cXFy0ux5FR/Xcj1atWpGRkaElmpycHA4ePAjAlStXaNKkCTk5OcVO4q6urlp993tyb9euHdu3b+fPP/8kNzdXi780WVlZNGtWMBDu66+/1pZ7eXnxySefaJ///PNPOnTowPbt2zl16hTwf8fY2tqaffv2AbBv3z7t+9v99ddfPPPMM9SpU4cLFy7w008/AQXDf9PT09m7dy9QcFxuJd3hw4czbtw4DAbDPY2cEuIp88Q/Vp2eno6FhQWDBg1i4sSJ2rlm9uzZNGjQoEJeCrF+/Xpu3LjBpUuXiI2NxWAwlJpr7oeXlxdLlizRzmeXL1+mdevWpKWlceLECQC++eYbbRRSaW7Pg0XVqVOHevXq8euvv95zeUII8bRxc3PTrqljY2OxsrKidu3aKIpCnz59mDBhAm3atKFBgwbAndfBRecIvZuyrv1LU9Z5/pai1+y3ppOAgqkvVq5cCcChQ4dISUm551hLqnf48OEMGjSI119/HVPTx3baXyEeC5U2kklRlGcAE1VVrxT+7AXMBn4AhgLzC/+9NevoD8ByRVE+pOAOdQsg/kHjqIpXhHp7e7NkyRJ0Oh2tWrXSHqsaOXIkOp0OR0dHoqKicHV1xdbWlu7duxMSEsJrr72Gs7Mzer2e1q1bAwVDY6dOnUqXLl0wNTXFwcGh2AnYz8+PK1eu0LNnzxLftFCSRYsWMWjQID744AN8fHy0R9PuR/Xq1Vm1ahXjxo0jKyuL3Nxcxo8fj42NjfYY3wsvvICdnZ12kv/4448ZMGAAH3/8Mf369buv+po1a8aUKVNo3749TZs2pW3btmXGHRYWhp+fH82aNcPFxUXrIJo2bRqjR4/G1tYWU1NTZs6cSd++fYmIiKBv377k5+fTqFEjNm/eTL9+/Vi2bBl6vR6DwaA9BnI7e3t7HBwcsLGx4cUXX8TV1VU7RtHR0YwdO5br169jbm5OTEwMlpaWODk5Ubt2bRmuK8Qj8Fh1VeSJlJQUJk2apN0xXrx4Mf379wcKztHDhg0jODhYm0+uPNq1a4ePjw9nzpxh+vTpNG3alIEDB5aYa+7H8OHDOXbsGDqdDjMzM+1FDJGRkfj5+ZGbm4vBYGDUqFFllvPaa6/Rv39/1q9fr00eXtTXX3/NqFGjuHbtGi+++CKRkZH3HasQQlSEqsgT9yIsLIzAwEB0Oh0WFhbFbqz6+/tjMBiKtRvCw8MZPXo0Op2O3Nxc3NzcWLJkyT3VVda1f2k8PDyYP38+er2eyZMnlzgvU3BwMEOHDuXDDz+ka9eu2vJ33nmHoUOHotPpcHBwQKfT3XObpaR6e/bsSWBgoFx7C/EQKBU5FLFYwYryIgWjl6CgM2u5qqpzFUVpAKwE/gGcAfxUVb1cuM1UYBiQC4xXVfWnsupwdnZWb3/U6PDhw7Rp06ZC9+VJc+3aNczNzVEUhRUrVvDdd9+V6w1DD1t2djaWlpbk5ubSp08fhg0bRp8+fao6rHJJT0/H3d2dI0eO3DFh+y1V9bd8Zeu2h15nZajV1aOqQ6hyiqIkFnmz5yNJUZSmRR+rBsYCP6iqWrfIOn+qqlpPUZRPgThVVb8tXP4lsElV1dW3lVn0sWqn20frSJ54OsnvveLEno2t6hAqxKPacfCwPA454mGQ9sSjKS8vj5ycHGrWrElqaiqenp4cO3aM6tWrl6u8hIQE3n33XW2E7KPqYfztPYxr/YcyJ9PQx7Md+Dgpb56otJFMqqqeBOxLWH4J8Cxlm7nA3MqKSRRITExkzJgxqKpK3bp1Wbp0aVWHdE/CwsKIiYnhxo0beHl50bt377tv9AhatmwZU6dO5cMPPyy1g0mIp0XRx6oVRSn2WHXhKKZyPVYNREBB46Ey4xdCCCFExbt27RoeHh7k5OSgqiqLFy8udwfT/PnzWbx4sczFJMRDUtkTf4tHUOfOnUlKSiq2LCUlhcGDBxdbVqNGDfbs2fMwQyvTwoUL71g2d+5cvv/++2LL/Pz8ir1S9VEzZMgQhgwZUtVhCFHlHpXHqh9nkZGRfPzxx8WWubq68umnnz5w2f/973/veAto8+bNtTenCiGEEPfqfvNVrVq1KuzlOKGhoYSGhlZIWUKIu5NOJgEUvJ70fib/e1RMnTr1ke5QEkKUqTGwtvANNrceq/5ZUZS9wEpFUd6i8LFqAFVVDyqKshI4RMFj1aMfxzfLVaTKnF+iW7dudOvWrVLKFkII8XSR+ZCEeHpIJ5MQQogqUZWPVauqqr2eWTz5Kmv+SSGEEELcqfblpLuv9MBkTqZHlUwII4QQ4qlSs2ZNLl26JB0PTwlVVbl06RI1a9as6lCEEEIIIZ54MpJJCCHEU+W5557j3LlzZGRkVHUo4iGpWbMmzz33XFWHIYQQQpQt5zocLfMF6xVAbrqIyiWdTEIIIZ4qZmZmNG/evKrDEEIIIYQQ4onzxHcyXdm6rULLq9XVo9zbzps3jylTpgCQmZnJ8uXLeeedd8pVVkBAAL6+vvTv37/Y8uHDhzNhwgTatm1b7jjvhaWlJdnZ2eXePjY2lurVq9OxY8cKjOrezZgxAzc3N1555ZUqqV8IIYQQQjweHqX2xOPEaDSSnp5Ojx49HnrdixYtYuTIkVhYWADQo0cPli9fTt26dR96LEI8bZ74TqZHye2dTJ999lm5O5lK88UXX1RoeZUhNzeX2NhYLC0tq6yTafbs2VVSrxBCCCGEEE8Do9FIQkLCPXcy5ebmUq1axTRPFy1axKBBg7ROpk2bNlVIueLepN48X+l16Cq9BlFeMvF3JenduzdOTk7Y2NgQERFBaGgo169fR6/XM3DgQEJDQ0lNTUWv1zNp0iSys7Px9PTE0dEROzs71q9fr5W1bNkydDod9vb2DB48+I66pk+fTkBAAPn5+bi7u5OQkAAUjDaaOnUq9vb2uLi4cOHCBQBSU1NxcXHBYDAwY8YMLC0tS92P8+fP4+bmhl6vx9bWll9//VX7rqSyT58+jaenJzqdDk9PT86cOQMUjLyaMGECHh4e+Pv7s2TJEj766CP0en2xMosKCAhg1KhRdO7cmZYtW7JhwwYA0tLS6Ny5M46Ojjg6OvLbb7+VGmteXh4BAQHY2tpiZ2fHRx99pJW9atUqAKytrZk5c6Z27I8cOQJARkYGr776Ko6Ojvzzn//khRde4OLFi3f71QshhBBCiAqiKIqpoij7FUXZUPi5vqIomxVFOV74b70i605WFOWEoihHFUXpVnVRP7i0tDRat27N8OHDsbW1ZeDAgcTExODq6kqLFi2Ij4/n8uXL9O7dG51Oh4uLC8nJyeTn52NtbU1mZqZW1ssvv8yFCxfIyMigX79+GAwGDAYDu3btAiAsLIyhQ4fi5eWFtbU1a9asITg4GDs7O7y9vcnJyQEgMTGRLl264OTkRLdu3Th/vqAjwd3dnZCQENq1a0fLli359ddfuXnzJjNmzCA6Ohq9Xk90dHSJ+xkWFsbIkSPx8vJiyJAhpcYYHx9Px44dcXBwoGPHjhw9ehSAvLw8Jk6ciJ2dHTqdjn//+9+Eh4eTnp6Oh4cHHh4Fo8asra216/gPP/wQW1tbbG1tWbRokXa827Rpw4gRI7CxscHLy4vr168DEB4eTtu2bdHpdLzxxhsV+nsW4kkkI5kqydKlS6lfvz7Xr1/HYDCwfft2PvnkE4xGI1BwIjtw4ID2OTc3l7Vr11K7dm0uXryIi4sLPXv25NChQ8ydO5ddu3ZhZWXF5cuXi9UTHBxMVlYWkZGRd7yO++rVq7i4uDB37lyCg4P5/PPPmTZtGkFBQQQFBfHmm2+yZMmSMvdj+fLldOvWjalTp5KXl8e1a9fKLHvMmDEMGTKEoUOHsnTpUsaNG8e6desAOHbsGDExMZiamhIWFoalpSUTJ04ss/60tDS2b99OamoqHh4enDhxgkaNGrF582Zq1qzJ8ePHefPNN0lISCgxVqPRyO+//86BAwcAiiXcoqysrNi3bx+fffYZCxcu5IsvvmDWrFl07dqVyZMn8/PPPxMREVFmrEIIIYQQosIFAYeB2oWfQ4EtqqrOVxQltPBziKIobYE3ABugKRCjKEpLVVXzqiLoinDixAm+//57IiIiMBgMLF++nJ07d/LDDz8wb948nn/+eRwcHFi3bh1bt25lyJAhGI1GevXqxdq1awkMDGTPnj1YW1vTuHFjBgwYwLvvvkunTp04c+YM3bp14/Dhw0DBTeht27Zx6NAhOnTowOrVq1mwYAF9+vRh48aN+Pj4MHbsWNavX0/Dhg2Jjo5m6tSpLF26FChoy8THx7Np0yZmzZpFTEwMs2fPJiEhgU8++aTM/UxMTGTnzp2Ym5uXGmPr1q3ZsWMH1apVIyYmhilTprB69WoiIiI4deoU+/fvp1q1aly+fJn69evz4Ycfsm3bNqysrO6oKzIykj179qCqKu3bt6dLly7Uq1eP48eP89133/H555/z+uuvs3r1agYNGsT8+fM5deoUNWrUKLUtUVFyc+HUucodB3I+O6VSyxdCOpkqSXh4OGvXrgXg7NmzHD9+vMz1VVVlypQp7NixAxMTE37//XcuXLjA1q1b6d+/v3aCrF+/vrbNnDlzaN++famdH9WrV8fX1xcAJycnNm/eDEBcXJzW8TNgwIAyO3oMBgPDhg0jJyeH3r17o9fr71r2mjVrABg8eDDBwcFaWX5+fpiampZ5HG73+uuvY2JiQosWLXjx62mHBQAAIABJREFUxRc5cuQIzZs3Z8yYMRiNRkxNTTl27Fipsb744oucPHmSsWPH4uPjg5eXV4n19O3bV9uXW/Hv3LlT+x16e3tTr169ErcVQggh/j979x4nRXUmfPz3gCgQcL2gLoou+gZBgeGOKIogETEQ1MRr1ABeSFazanwTRU3UNR+yvpvETdyYuJh4SYIB1HjZxCSKymqyKAGDoiiCEQVhETEiykWB8/7RzewAM8MwMzXdPf37fj7zme4zVXWeLoZ6pp6qc0pS44uITsAoYBJwZb75FGBo/vU9wEzg6nz71JTSRuCNiFgMDARmNWHIjerQQw+lZ8+eAHTv3p3hw4cTEfTs2ZMlS5bw5ptv8sADDwBwwgknsHr1atasWcNZZ53FTTfdxPjx45k6dSpnnXUWADNmzGDBggWV2//ggw9Yu3YtACeffDKtWrWiZ8+ebN68mZEjRwJU9rVw4UJeeuklTjzxRCB3B1HHjh0rt1X1b+klS5bs0uccM2YMbdq0qTXGNWvWMHbsWBYtWkREVN5dNWPGDL7yla9UDrOreq5UnT/+8Y+cdtppfOpTn6qM+5lnnmHMmDEceuihlec6VT9HRUUF5557LqeeeiqnnnrqLn02qRw5XC4DM2fOZMaMGcyaNYsXXniBPn36sGHDhlrXmTJlCqtWrWLu3LnMmzePAw44gA0bNpBS2uEOpa0GDBjA3Llzd7i7aatWrVpVrtuyZUs2bdq0y59lyJAhPP300xx00EGcf/75/PznP9+lbVeNfevBfFds/9kjgn/7t3/jgAMO4IUXXmDOnDl8/PHHNca6995788ILLzB06FBuu+02Lrroomr72WOPPXb4LCmlXY5XkiRJjeYHwFXAliptB6SUVgDkv++fbz8IWFpluWX5tpK19e9TgBYtWlS+b9GiBZs2bar2b9WI4Oijj2bx4sWsWrWKhx56qLIAtGXLFmbNmsW8efMq7/Zv3779Nn21aNFim7/zq/bVvXv3ynXnz5/PY489tkOs9TnnqHqOUFOM3/rWtxg2bBgvvfQS//mf/1l5blXbuVJ1avv7vur+rvo5fvvb33LppZcyd+5c+vXrV69zKqmcWGTKwJo1a9h7771p27Ytr776Ks8++yyQK8xsrbq3b9++8srB1nX2339/WrVqxVNPPcWbb74JwPDhw5k+fTqrV68G2KagNHLkSCZOnMioUaO22dbODBo0qPKqx9SpU2td9s0332T//ffn4osv5sILL+T555+vdfljjjmmcptTpkzh2GOPrXa57T9/Te677z62bNnC66+/zl//+le6du3KmjVr6NixIy1atOAXv/gFmzdvrjHWd999ly1btvCFL3yBb3/72zuNv6pjjz2W6dOnA/DYY4/xt7/9rc7rSpIkqf4iYjTwTkppbl1Xqaat2opCREyIiDkRMWfVqlX1jrHQhgwZwpQpU4DcRe4OHTqw5557EhGcdtppXHnllRxxxBHsu+++AIwYMWKboWtbp+2oi65du7Jq1SpmzcrdGPbJJ5/w8ssv17pOXf/er6qmGNesWcNBB+Vqhnffffc2y99+++2VhZ+t50o19T1kyBAeeugh1q1bx0cffcSDDz7IcccdV2M8W7ZsYenSpQwbNox//dd/5f3332/QE7alctDsh8sV4hGhI0eO5Pbbb6eiooKuXbsyaNAgACZMmEBFRQV9+/ZlypQpDB48mB49enDyySdz9dVX87nPfY7+/fvTu3dvunXrBuRujb3uuus4/vjjadmyJX369NnmwHrGGWewdu1axowZU+enJmx92sL3v/99Ro0axd/93d/VuOzMmTP57ne/S6tWrWjXrl3lnUw1ufXWW7ngggv47ne/y3777cddd91V7XKf+9znOP3003n44Yf593//9xoP7l27duX4449n5cqV3H777bRu3ZpLLrmEL3zhC9x3330MGzas8upHdbG+/fbbjB8/ni1bchfA/uVf/qUuuwiAG264gXPOOYdp06Zx/PHH07Fjx8qrPZIkScrUYGBMRHwWaA3sGRG/BFZGRMeU0oqI6Ai8k19+GXBwlfU7Acur23BKaTIwGaB///47vXW9EOcTdXHjjTcyfvx4KioqaNu2Lffcc0/lz8466ywGDBiwzXnDrbfeyqWXXkpFRQWbNm1iyJAhO52fdavdd9+d+++/n8suu4w1a9awadMmrrjiCrp3717jOsOGDePmm2+md+/eXHPNNZXD9mpTU4xXXXUVY8eO5ZZbbuGEE06oXP6iiy7itddeo6KiglatWnHxxRfz1a9+lQkTJnDyySfTsWNHnnrqqcrl+/bty7hx4xg4cGDl+n369KlxiN/mzZs577zzWLNmDSklvva1r7HXXnvVaZ9J5SpKeUhQ//7909YnqW31yiuvcMQRRxQootKwbt062rRpQ0QwdepUfvWrX23zNLtiMW7cOEaPHs3pp59ekP43btxIy5Yt2W233Zg1axb/+I//uEtXfBqqUL/La598aucLlYBi/YOwKUXE3JRS/0LHUUjV5QlJDTNz6cxCh9Aohh48tNAhFFQp5YiIGAp8PaU0OiK+C6yuMvH3PimlqyKiO3AvuXmYDgSeALrsbOJvzydUTP7y57n87ZUlmfbRuvXbmW4fYOUbtd/l1hhOu/o/Mu+j3NU3TzT7O5m0o7lz5/LVr36VlBJ77bVX5VMhtK233nqLM888ky1btrD77rtzxx13FDokSZKkcnczMD0iLgTeAs4ASCm9HBHTgQXAJuDSUn6ynCSVKotMZei4447jhRde2KZt/vz5nH/++du07bHHHjz33HOZxzNp0iTuu+++bdrOOOOMbW7vLYQuXbrwl7/8paAxSJIklbuU0kxyT5EjpbQaGF7DcpPIPYlOReauu+7ihz/84TZtgwcP5rbbbitQRMXpk7SZ1z9ekWkf3VtnunnJIpNyevbs2aRDwaq67rrruO666wrStyRJkqRsjR8/nvHjxxc6DElNwCKTJEmSJEnlYPXizLvYsO7AzPtQ8WpR6AAkSZIkSZJU+ryTSZIkSXX39tzs+zioX/Z9SFIZWrPm75ugl0+aoA8VK+9kkiRJkiRJUoM1+zuZ3njx3Ubd3qEVHeq97ne+8x2uvfZaAN5//33uvfdeLrnkknpta9y4cYwePZrTTz99m/aLLrqIK6+8kiOPPLLecTbEzJkz+d73vsdvfvMb7r77bubMmcOPfvSjgsQiSZIkNVQxnU+Uknnz5rF8+XI++9nP1rjMjTfeSLt27fj6179e5+22a9eODz/8sDFClJQB72RqQt/5zncqX7///vv8+Mc/bvQ+fvrTnxaswCRJkiRJkCsyPfroo4UOQ1ITs8iUkVNPPZV+/frRvXt3Jk+ezMSJE1m/fj29e/fm3HPPZeLEibz++uv07t2bb3zjG3z44YcMHz6cvn370rNnTx5++OHKbf385z+noqKCXr16cf755+/Q17e+9S3GjRvHli1bGDp0KHPmzAFyVf7rrruOXr16MWjQIFauXAnA66+/zqBBgxgwYADXX3897dq1q/FznHXWWdskh3HjxvHAAw+wYcMGxo8fT8+ePenTpw9PPfVUrftj1apVfOELX2DAgAEMGDCAP/3pT2zZsoUuXbqwatUqALZs2cKnP/1p3n33Xe677z569OhBr169GDJkSN13vCRJklTilixZQrdu3bjooovo0aMH5557LjNmzGDw4MF06dKF2bNn895773HqqadSUVHBoEGDePHFF9myZQudO3fm/fffr9zWpz/9aVauXFnt3+OQu5to7NixjBgxgs6dO/PrX/+aq666ip49ezJy5Eg++SQ3v87cuXM5/vjj6devHyeddBIrVqwAYOjQoVx99dUMHDiQww8/nGeeeYaPP/6Y66+/nmnTptG7d2+mTZtW42d94YUXOOGEE+jSpQt33HEHQK3nRlvVtMySJUs44ogjuPjii+nevTsjRoxg/fr1ACxevJjPfOYz9OrVi759+/L6668D8N3vfpcBAwZQUVHBDTfc0NB/PqmsNfvhcoVy5513ss8++7B+/XoGDBjAf/3Xf/GjH/2IefPmAbmD30svvVT5ftOmTTz44IPsueeevPvuuwwaNIgxY8awYMECJk2axJ/+9Cc6dOjAe++9t00/V111FWvWrOGuu+4iIrb52UcffcSgQYOYNGkSV111FXfccQff/OY3ufzyy7n88ss555xzuP3222v9HGeffTbTpk3js5/9LB9//DFPPPEEP/nJT7jtttsAmD9/Pq+++iojRozgtddeq3E7l19+OV/72tc49thjeeuttzjppJN45ZVXOO+885gyZQpXXHEFM2bMoFevXnTo0IGbbrqJP/zhDxx00EHbJElJkiSpHCxevJj77ruPyZMnM2DAAO69917++Mc/8sgjj/Cd73yHgw8+mD59+vDQQw/x5JNP8qUvfYl58+Zxyimn8OCDDzJ+/Hiee+45OnfuzAEHHMAXv/jFav8eh9xF6KeeeooFCxZw9NFH88ADD/Cv//qvnHbaafz2t79l1KhR/NM//RMPP/ww++23H9OmTeO6667jzjvvBHLnMrNnz+bRRx/ln//5n5kxYwY33XRTnabOePHFF3n22Wf56KOP6NOnD6NGjWL//fev9tyo6vlO69atq10GYNGiRfzqV7/ijjvu4Mwzz+SBBx7gvPPOq7zYf9ppp7Fhwwa2bNnCY489xqJFi5g9ezYpJcaMGcPTTz/thW6pniwyZeTWW2/lwQcfBGDp0qUsWrSo1uVTSlx77bU8/fTTtGjRgrfffpuVK1fy5JNPcvrpp9OhQ27s9j777FO5zre//W2OOuooJk+eXO02d999d0aPHg1Av379ePzxxwGYNWsWDz30EABf/OIXax0DffLJJ3PZZZexceNGfv/73zNkyBDatGnDH//4R/7pn/4JgG7duvEP//APtRaZZsyYwYIFCyrff/DBB6xdu5YLLriAU045hSuuuII777yT8ePHAzB48GDGjRvHmWeeyec///la950kSZLU3Bx66KH07NkTgO7duzN8+HAigp49e7JkyRLefPNNHnjgAQBOOOEEVq9ezZo1azjrrLO46aabGD9+PFOnTuWss84Cav57HHJ/87dq1YqePXuyefNmRo4cCVDZ18KFC3nppZc48cQTAdi8eTMdO3as3NbWv9f79evHkiVLdulznnLKKbRp04Y2bdowbNgwZs+ezahRo6o9N/r7v//fJ6PVdP60dd/17t17m5jWrl3L22+/zWmnnQbkilQAjz32GI899hh9+vQBcndILVq0yCKTVE8WmTIwc+ZMZsyYwaxZs2jbti1Dhw5lw4YNta4zZcoUVq1axdy5c2nVqhWdO3dmw4YNpJR2uENpqwEDBjB37lzee++9bYpPW7Vq1apy3ZYtW7Jp06Zd/iytW7dm6NCh/OEPf2DatGmcc845QO6gviu2bNnCrFmzaNOmzTbt7du354ADDuDJJ5/kueeeY8qUKQDcfvvtPPfcc/z2t7+ld+/ezJs3j3333XeX45ckqaws/F2hI5DUSPbYY4/K1y1atKh836JFCzZt2sRuu+14KhcRHH300SxevJhVq1bx0EMP8c1vfhOo+e/xqn21aNFim3OIrX2llOjevTuzZs2qNdb6nHNsf64TETWeG1VV2zJV913Lli1Zv359jecvKSWuueYavvzlL+9S3JKq55xMGVizZg177703bdu25dVXX+XZZ58FckWfrWOa27dvX3nlYOs6+++/P61ateKpp57izTffBGD48OFMnz6d1atXA2wzXG7kyJFMnDiRUaNGbbOtnRk0aFDlVY+pU6fudPmzzz6bu+66i2eeeYaTTjoJgCFDhlQWhF577TXeeustunbtWuM2RowYsc2tsluHCULuiXjnnXceZ555Ji1btgRyt+weddRR3HTTTXTo0IGlS5fW+fNJkiRJzV3Vv8dnzpxJhw4d2HPPPYkITjvtNK688kqOOOKIygu1tf09vjNdu3Zl1apVlUWmTz75hJdffrnWdbY/36nJww8/zIYNG1i9ejUzZ85kwIABNZ4bVVWXZarac8896dSpU+WIjo0bN7Ju3TpOOukk7rzzzson1r399tu88847O41bUvWa/Z1MhXhE6MiRI7n99tupqKiga9euDBo0CIAJEyZQUVFB3759mTJlCoMHD6ZHjx6cfPLJXH311Xzuc5+jf//+9O7dm27dugG5W2Ovu+46jj/+eFq2bEmfPn24++67K/s644wzWLt2LWPGjKnz0xt+8IMfcN555/H973+fUaNG8Xd/93e1Lj9ixAi+9KUvMWbMGHbffXcALrnkEr7yla/Qs2dPdtttN+6+++5trhhs79Zbb+XSSy+loqKCTZs2MWTIkMr5oMaMGcP48eMrh8oBfOMb32DRokWklBg+fDi9evWq02eTJEmSGlMhzifq4sYbb2T8+PFUVFTQtm1b7rnnnsqfnXXWWQwYMGCb84ba/h7fmd13353777+fyy67jDVr1rBp0yauuOIKunfvXuM6w4YN4+abb6Z3795cc801lcP2tjdw4EBGjRrFW2+9xbe+9S0OPPBAzj333GrPjaqqyzLb+8UvfsGXv/xlrr/+elq1asV9993HiBEjeOWVVzj66KOB3MOTfvnLX7L//vvXad9I2lbs6rCnYtK/f/+09UlqW73yyiscccQRBYqoNKxbt442bdoQEUydOpVf/epX1T6xoanMmTOHr33tazzzzDMFi6EYFep3ee2TtT8psFS0P2FYoUMouIiYm1LqX+g4Cqm6PCE1a00wXG7m3xbsfKGGOqhf5l0MPXho5n0UM3NEjucTKiazZ8/mhRdnZ9pHp3c/yHT7AO+v/yTzPs75Z58CmLX65onM72SKiJbAHODtlNLoiNgHmAZ0BpYAZ6aU/pZf9hrgQmAzcFlK6Q9Zx1eO5s6dy1e/+lVSSuy1116VT4UohJtvvpmf/OQnlbf6SpIkSZKk0tQUw+UuB14B9sy/nwg8kVK6OSIm5t9fHRFHAmcD3YEDgRkRcXhKaXMTxFhWjjvuOF544YVt2ubPn8/555+/Tdsee+zBc889l2ksEydOZOLEiZn2IUmSJKlw7rrrLn74wx9u0zZ48GBuu+22AkVUvpriLiOVt0yLTBHRCRgFTAKuzDefAgzNv74HmAlcnW+fmlLaCLwREYuBgUD1jzBQo+rZs+cuTf6nwpi5dGbmfWQ/QEGSJEnlZPv5V1W9Fps3027p6kKHITVI1k+X+wFwFbClStsBKaUVAPnvW2dUOwio+gixZfm2XVbK80xJ4O+wyktEtIyIv0TEb/Lv94mIxyNiUf773lWWvSYiFkfEwog4qXBRS5KaM/8WU1NLKYG/dmoGMruTKSJGA++klOZGxNC6rFJN2w7/zSJiAjAB4JBDDtlhhdatW7N69Wr23XdfIqrbpFTcUkqsXr2a1q1b7/Cz3We9mHn/L6w/OPM+eh28V+Z9qKQ4rFqSVDQ8n1BT2/r3/4YPsp+UW8palsPlBgNjIuKzQGtgz4j4JbAyIjqmlFZEREfgnfzyy4CqZ7edgOXbbzSlNBmYDLmnQWz/806dOrFs2TJWrVrVuJ9GakKtW7emU6dOhQ5DypzDqiVJxcbzCRVC69atWT73+UKHITVYZkWmlNI1wDUA+TuZvp5SOi8ivguMBW7Of384v8ojwL0RcQu5K9RdgF1+fmOrVq049NBDG/4BJElNYeuw6vZV2rYZVh0RVYdVP1tluXoPq5YkqSaeT6hQnv3440KHIDVY1nMyVedm4MSIWAScmH9PSullYDqwAPg9cKlDICSp+ao6rLquq1TTVu2w6oiYExFzvAotSZIkNZ1Mny63VUppJrnhDqSUVgPDa1huErkhE5Kk5q8gw6olSZIkZaMQdzJJkkRK6ZqUUqeUUmdyE3o/mVI6j9zw6bH5xbYfVn12ROwREYdSz2HVkiRJkrLRJHcySZK0C24GpkfEhcBbwBmQG1YdEVuHVW/CYdWSJElSUbHIJEkqOIdVS5IkSaXP4XKSJEmSJElqMItMkiRJkiRJajCLTJIkSZIkSWowi0ySJEmSJElqMCf+lrSNNz96NfM+ejEo8z4kSZIkSU2rTkWmiOiRUnop62AkSaXJPCHVwcLfFToCqWDME5JUHuo6XO72iJgdEZdExF6ZRiRJKkXmCUlSbcwTklQG6lRkSikdC5wLHAzMiYh7I+LETCOTJJUM84QkqTbmCUkqD3We+DultAj4JnA1cDxwa0S8GhGfzyo4SVLpME9IkmpjnpCk5q+uczJVAOOBUcDjwOdSSs9HxIHALODX2YUoaas33v2o0CFI1TJPSJJqY56QpPJQ16fL/Qi4A7g2pbR+a2NKaXlEfDOTyCRJpcQ8IUmqjXlCkspAXYtMnwXWp5Q2A0REC6B1SmldSukXmUUnSSoV5glJUm12OU9ERGvgaWAPcuct96eUboiIfYBpQGdgCXBmSulv+XWuAS4ENgOXpZT+kOmnkiRto65zMs0A2lR53zbfJkkSmCckSbWrT57YCJyQUuoF9AZGRsQgYCLwREqpC/BE/j0RcSRwNtAdGAn8OCJaNuqnkCTVqq5FptYppQ+3vsm/bptNSJKkEmSekCTVZpfzRMrZuk6r/FcCTgHuybffA5yaf30KMDWltDGl9AawGBjYeB9BkrQzdS0yfRQRfbe+iYh+wPpalpcklRfzhCSpNvXKExHRMiLmAe8Aj6eUngMOSCmtAMh/3z+/+EHA0iqrL8u3SZKaSF3nZLoCuC8iluffdwTOyiYkSTVpu3ZJ5n2sa9858z7ULJknJEm1qVeeyM/h1Dsi9gIejIgetSwe1W1ih4UiJgATAA455JCdhSBJ2gV1KjKllP4cEd2AruQO3q+mlD7JNDJJUskwT0iSatPQPJFSej8iZpKba2llRHRMKa2IiI7k7nKC3J1LB1dZrROwnO2klCYDkwH69++/QxFKklR/dR0uBzAAqAD6AOdExJeyCUmSVKLME5Kk2uxSnoiI/fJ3MBERbYDPAK8CjwBj84uNBR7Ov34EODsi9oiIQ4EuwOxG/xSSpBrV6U6miPgF8H+AeeQeBwq5W09/nlFckqQSYp6QJNWmnnmiI3BP/glxLYDpKaXfRMQsYHpEXAi8BZwBkFJ6OSKmAwuATcCl+eF2kqQmUtc5mfoDR6aUvJ1UklQd84QkqTa7nCdSSi+Su+tp+/bVwPAa1pkETKpvkJKkhqlrkekl4O+BFRnGIkkqXeYJqQjM/NuCQocg1cQ8IUlloK5Fpg7AgoiYDWzc2phSGpNJVJKkUmOekCTVxjwhSWWgrkWmG7MMQlJ5eWHp+5n3cWzmPWg7NxY6AElSUbux0AFIkrJXpyJTSum/IuIfgC4ppRkR0RZomW1okqRSYZ6QJNXGPCFJ5aFFXRaKiIuB+4H/yDcdBDyUVVCSpNJinpAk1cY8IUnloU5FJuBSYDDwAUBKaRGwf1ZBSZJKjnlCklQb84QklYG6zsm0MaX0cUQAEBG7AT6mWqpi5tKZhQ5BKiTzhCSpNuYJSSoDdS0y/VdEXAu0iYgTgUuA/8wuLEnN2ZsfvZp5H0783eTME5Kk2pgnJKkM1LXINBG4EJgPfBl4FPhpbStERGvgaWCPfD/3p5RuiIh9gGlAZ2AJcGZK6W/5da7J97MZuCyl9Idd/DxSwax9zYtxKmu7nCckSWXFPCFJZaCuT5fbAtyR/6qrjcAJKaUPI6IV8MeI+B3weeCJlNLNETGRXMK5OiKOBM4GugMHAjMi4vCU0uZd6FOSVAD1zBOSpDJhnpCk8lCnIlNEvEE1Y6ZTSofVtE5KKQEf5t+2yn8l4BRgaL79HmAmcHW+fWpKaSPwRkQsBgYCs+oSoySpcOqTJ7zjVZLKR33yhCSp9NR1uFz/Kq9bA2cA++xspYhoCcwFPg3cllJ6LiIOSCmtAEgprYiIrU+VOAh4tsrqy/JtkqTiV5884R2vklQ+6nU+IUkqLXUdLrd6u6YfRMQfget3st5moHdE7AU8GBE9alk8qtvEDgtFTAAmABxyyCG1xi1Jahr1yRPe8apyM2/p+9l30i77LqT6qO/5hCSptNR1uFzfKm9bkLsS0b6unaSU3o+ImcBIYGVEdMzfxdQReCe/2DLg4CqrdQKWV7OtycBkgP79+zvTsiQVgfrmCe94laTy0NDzCUlSaajrcLnvV3m9ifwcGbWtEBH7AZ/kC0xtgM8A/w94BBgL3Jz//nB+lUeAeyPiFnLDILoAs+sYnySpsHY5T4B3vEpSGalXnpAklZa6DpcbVo9tdwTuyV+lbgFMTyn9JiJmAdMj4kLgLXLjsUkpvRwR04EF5BLPpc6zIUmloZ55our63vEqSc1YQ/OEJKk01HW43JW1/TyldEs1bS8CfappXw0Mr2E7k4BJdYlJklQ86pMnvONVkspHffKEJKn07MrT5QaQ+wMf4HPkHju9NIugJEklpz55wjteJal8eD4hSWWgrkWmDkDflNJagIi4EbgvpXRRVoFJkkrKLucJ73iVpLLi+YQklYEWdVzuEODjKu8/Bjo3ejSSpFJlnpAk1cY8IUlloK53Mv0CmB0RD5J7ks9pwM8zi0pSwbRduyTzPta175x5H2py5glJjeftudn3cfDQ7PtQVeYJSSoDdX263KSI+B1wXL5pfErpL9mFJUkqJeYJSVJtzBOSVB7qOlwOoC3wQUrph8CyiDg0o5gkSaXJPCFJqo15QpKauToVmSLiBuBq4Jp8Uyvgl1kFJUkqLeYJSVJtzBOSVB7qeifTacAY4COAlNJyoH1WQUmSSo55QpJUG/OEJJWBuk78/XFKKUVEAoiIT2UYk6QC2rDuwOw78U/K5sg8IUmqjXlCkspAXe9kmh4R/wHsFREXAzOAO7ILS5JUYswTkqTamCckqQzs9E6miAhgGtAN+ADoClwlXfKxAAAgAElEQVSfUno849gkSSXAPCFJqo15QpLKx06LTPnbWh9KKfUDTARSTd5bXOgIpIIwT6gpzFiwstAhNFiHQgcgFYh5QpLKR13nZHo2IgaklP6caTSSatUk8yVJ9WOekCTVxjwhSWWgrkWmYcBXImIJuSdCBLmLEhVZBSZJKinmCUlSbcwTklQGai0yRcQhKaW3gJObKB5JUgkxTwiax1A2SdkwT6i5eOPFdwsdglQSdnYn00NA35TSmxHxQErpC00RlCSpZJgnJEm1MU9IUhnZWZEpqrw+LMtApKx59UHKhHlCklQb84QklZEWO/l5quG1JElgnpAk1c48IUllZGd3MvWKiA/IXYFok38N/ztR356ZRidJKnbmCUlSbcwTklRGai0ypZRaNlUgkqTSY56QJNXGPCFJ5WVnw+UkSZIkqclFxMER8VREvBIRL0fE5fn2fSLi8YhYlP++d5V1romIxRGxMCJOKlz0klSedjZcTlId/c+ajZn30S7zHiRJkorGJuD/ppSej4j2wNyIeBwYBzyRUro5IiYCE4GrI+JI4GygO3AgMCMiDk8pbS5Q/JJUdryTSZIkSVLRSSmtSCk9n3+9FngFOAg4Bbgnv9g9wKn516cAU1NKG1NKbwCLgYFNG7UklTfvZFJReOPFdzPv46VV8zPvQ3XTdu2SQocgSaqnv676KPM+DtvvU5n3odISEZ2BPsBzwAEppRWQK0RFxP75xQ4Cnq2y2rJ8m6RmZu2TT2XeR/sThmXeR3NkkUk71RQFIEmSJKk6EdEOeAC4IqX0QUTUuGg1bama7U0AJgAccsghjRWmmrkFT8wqdAhSSXC4nCRJkqSiFBGtyBWYpqSUfp1vXhkRHfM/7wi8k29fBhxcZfVOwPLtt5lSmpxS6p9S6r/ffvtlF7wklSGLTJIkSZKKTuRuWfoZ8EpK6ZYqP3oEGJt/PRZ4uEr72RGxR0QcCnQBZjdVvJIkh8tJkiRJKk6DgfOB+RExL992LXAzMD0iLgTeAs4ASCm9HBHTgQXknkx3qU+Wk6SmZZFJkiRJUtFJKf2R6udZAhhewzqTgEmZBSVJqpVFJkmSJEmSarFq47LM+9gj8x6k7DknkyRJkiRJkhossyJTRBwcEU9FxCsR8XJEXJ5v3yciHo+IRfnve1dZ55qIWBwRCyPipKxikyRJkiRJUuPK8k6mTcD/TSkdAQwCLo2II4GJwBMppS7AE/n35H92NtAdGAn8OCJaZhifJKmAvBghSZIkNS+ZzcmUUloBrMi/XhsRrwAHAacAQ/OL3QPMBK7Ot09NKW0E3oiIxcBAYFZWMUqSCmrrxYjnI6I9MDciHgfGkbsYcXNETCR3MeLq7S5GHAjMiIjDfXKQSsXz6xdl3sdh7T6VeR+SJEk1aZKJvyOiM9AHeA44IF+AIqW0IiL2zy92EPBsldWW5dskSc2QFyOkxvfXVR8VOgRJklTGMi8yRUQ74AHgipTSBxE1PYW02seTpmq2NwGYAHDIIYc0VpgqB+8tLnQEkmrgxQhJkiSp9GX6dLmIaEWuwDQlpfTrfPPKiOiY/3lH4J18+zLg4CqrdwKWb7/NlNLklFL/lFL//fbbL7vgJUlNYvuLEbUtWk1btRcjImJORMxZtWpVY4UpSZIkaSeyfLpcAD8DXkkp3VLlR48AY/OvxwIPV2k/OyL2iIhDgS7A7KzikyQVnhcjJEmSpOYjy+Fyg4HzgfkRMS/fdi1wMzA9Ii4E3gLOAEgpvRwR04EF5CaDvdTJXCWp+arDxYib2fFixL0RcQu5ib+9GCFJkprEHuvf2flCkjJ9utwfqX5oA8DwGtaZBEzKKiZJUlHxYoQkSZLUjDTJ0+UkSdqeFyOaxowFKwsdgiRJksqERSZJkiRJUula+LtCRyApzyKTJEmSys7MpTMz72PowUMz70MS3PnanzPvo03mPUjNg0UmSc3S2iefyryP9icMy7wPSZIkSSoVFplUNv5nzcZChyBJkiRJaqCly1PmfRyZeQ/Nk0UmSZIkSZJUMt784M3M+7DIVD8tCh2AJEmSJEmSSp9FJkmSJEmSJDWYRSZJkiRJkiQ1mHMylbqFv2uCTgY0QR+SJEmSJKmUWWRScVg2t9ARSJIkSZKkBrDIJEmSJEmSSscHKwodgWpgkUlF4Y13Pyx0CJKkMtZh+ZOZ9/FW5j1IkiQVlkUmqZG0W7q60CGUjA3rDix0CJIkSZKkRmaRSTvnfEmSJEmSJGknLDJJkiRJkkrW5pX7NEEvjlooJu+v/6TQIagGLQodgCRJkiRJkkqfdzJJkiRJkiRVMWPBysz7+MyRB2TeR1OzyFTi3ni9edyM9vrHPoJSkiRJkqRSZpFJkiRJReWvqz7KvI/DDsq8C0mSyo5FJkmSJEmSpCo6LH8y+06OPCf7PppY8xhrJUmSJEmSpIKyyCRJkiRJkqQGs8gkSZIkSZKkBnNOJu3UG+9+WOgQJEmSJElSkfNOJkmSJEmSJDWYRSZJkiRJRSci7oyIdyLipSpt+0TE4xGxKP997yo/uyYiFkfEwog4qTBRS1J5c7icJEmSpGJ0N/Aj4OdV2iYCT6SUbo6Iifn3V0fEkcDZQHfgQGBGRByeUtrcxDGrANotXV3oECTlWWSSJElFr8PyJwsdgqQmllJ6OiI6b9d8CjA0//oeYCZwdb59akppI/BGRCwGBgKzmiJWSVKOw+UkSZIklYoDUkorAPLf98+3HwQsrbLcsnybJKkJWWSSJEmSVOqimrZU7YIREyJiTkTMWbVqVcZhSVJ5yazI5ER9kiRJkhrZyojoCJD//k6+fRlwcJXlOgHLq9tASmlySql/Sqn/fvvtl2mwklRuspyT6W6cqE+SVIOIuBMYDbyTUuqRb9sHmAZ0BpYAZ6aU/pb/2TXAhcBm4LKU0h8KELYkqbAeAcYCN+e/P1yl/d6IuIXc+UQXYHZBIpTULDy/flHmffTOvIeml9mdTCmlp4H3tms+hdwEfeS/n1qlfWpKaWNK6Q1g60R9kqTm625g5HZtWy9GdAGeyL9nu4sRI4EfR0TLpgtVktTUIuJX5Cbu7hoRyyLiQnLFpRMjYhFwYv49KaWXgenAAuD3wKVesJakptfUT5fbZqK+iKg6Ud+zVZZzoj5JDTL/3fmZ93EMwzLvoznzqUGSpNqklM6p4UfDa1h+EjApu4gkSTtTLBN/O1GfJAl8apAkSZJUspq6yOREfZKk+vBihCRJklTkmnq4nBP1SWoSb7z7UeZ9HJN5D2VpZUR0zA+prvfFCGAyQP/+/astREmSJEm12bxyn0KHUJIyKzLlJ+obCnSIiGXADeSKS9Pzk/a9BZwBuYn6ImLrRH2bcKI+SSpXXoyQJKmZeePFdwsdgqQmklmRyYn6JEm18WKEJEmS1Lw09XA5SZIAL0ZIkiRJzU2xPF1OkiRJkiRJJcwikyRJkiRJkhrMIpMkSZIkSZIazDmZsrTwd03QiXVCSZIkSZJUeFYoJEmSJEmS1GAWmSRJkiRJktRgFpkkSZIkSZLUYM7JJKlZart2SaFDkCRJEvDSqvmFDkFSE7HIJEmSpPLz9tzs+zh4aPZ9SJJURCwyaade/3hFoUOQJEmSJElFziJTiXvj3Q8LHYIkSZIk1ey9xYWOQFITscgkqVnasO7AQocglY0Oy58sdAiSpCL2P2s2Zrr9dpluXdKusMikstFu6epChyBJKlLPr19U6BAkSZJKnkWmDL3xeotChyBJkiRJktQkLDJJklQgMxasLHQIkiRJUqPxVhtJkiRJkiQ1mHcySZIkSVIReuPFdwsdgiTtEu9kkiRJkiRJUoN5J5MkSZIkFaEX3no/8z56HbJX5n1Ipcink9ePRSZJkiSVnb+u+ijzPoZm3oOauz3feyH7Tg45Pvs+JFUr64fAfObIAzLdfnUsMkmSJElSEXr94xWZ9zH/lWcz76Nt5j1IKhYWmSRJkiSpTLVduyTzPhx2JFXv5fl/znT7nzlydKbbr45FJkmSJCkDM5fOzLyPoQcPzbwPSVI2mqLI29R8upwkSZIkSZIazDuZVBS8hVaSVJvn1y8qdAiSJEnaCYtMkiQ1Yx2WP1noECRJklQmHC4nSZIkSZKkBvNOJkmqp7VPPpV5H+1PGJZ5H5IkSZLUGCwySVJ9vT23CTqxyCRJkiSpNJRtkemNF9/Nvo93P8y8j9c/XpF5H5KqN2N59hMRn5Z5D5IkqT5mLp1Z6BAkqegUXZEpIkYCPwRaAj9NKd2cSUfLmuIOBElSY2qyHCFJKklNmSfWvpay2nST8inPkhpTURWZIqIlcBtwIrAM+HNEPJJSWlDYyCRpRxvWHVjoEMqKOUJSqZm39P3M+xh6cOZdlIwmzxPvLc5ks5LKR3Ms8hZVkQkYCCxOKf0VICKmAqcAnkAUUHP8xZdUkpo0R8xYsDKLzUoqI3uufrEJejm1CfooGU2aJ/5nzcYsNitJJa3YikwHAUurvF8GHJVFR00xX1JTsAAkqYw0WY7Qrnl+ffbzk0lSHZgnJKnAiq3IFNW0bTPYOSImABPybz+MiIWZR5W9DkD2M5GXJvdN9dwv1Wt2++WLN93YkNX/oZHCKBY7zRFgnigj7pPquV921Kz3yYXcUJ/VOtD8cgSUZp4old9P42xcxtm4jLMG9TyX2BpnvfJEsRWZlgFVR5Z3ApZXXSClNBmY3JRBZS0i5qSU+hc6jmLkvqme+6V67pdmb6c5AswT5cJ9Uj33y47cJzvK75POhY4jAyWXJ0rl99M4G5dxNi7jbFwNjbNFYwbTCP4MdImIQyNid+Bs4JECxyRJKg7mCElSbcwTklRgRXUnU0ppU0R8FfgDuceO3plSernAYUmSioA5QpJUG/OEJBVeURWZAFJKjwKPFjqOJlYUt+sWKfdN9dwv1XO/NHNlmiPA3+3quE+q537ZkftkR812n5RgniiVfwvjbFzG2biMs3E1KM5IaYe58CRJkiRJkqRdUmxzMkmSJEmSJKkEWWRqYhFxcEQ8FRGvRMTLEXF5vn2fiHg8Ihblv+9d6FgLISJaRsRfIuI3+fdlv18iYq+IuD8iXs3/3hztfoGI+Fr+/9BLEfGriGjtflGpM0fUzPywI/PDjswNORFxZ0S8ExEvVWmrcT9ExDURsTgiFkbESYWJunnL/y7OjogX8r+j/5xvL8rfz1I45kbEkoiYHxHzImJOEcdZ9MfqiOia349bvz6IiCuKLc58rCVxnI+Iy/MxvhwRV+TbiiLOrHOERaamtwn4vymlI4BBwKURcSQwEXgipdQFeCL/vhxdDrxS5b37BX4I/D6l1A3oRW7/lPV+iYiDgMuA/imlHuQm9zybMt8vahbMETUzP+zI/FCFuWEbdwMjt2urdj/kjzFnA93z6/w4Ilo2XahlYyNwQkqpF9AbGBkRgyje389SOeYOSyn1rvK49WKMs+iP1Smlhfn92BvoB6wDHqTI4iyV43xE9AAuBgaS+zcfHRFdKJ447ybLHJFS8quAX8DDwInAQqBjvq0jsLDQsRVgX3TK/0KfAPwm31bW+wXYE3iD/PxpVdrLfb8cBCwF9iH3AIPfACPKfb/41fy+zBGV+8H8sOM+MT/suE/MDdvuj87ASzv73QCuAa6pstwfgKMLHX9z/gLaAs8DRxXj72epHHOBJUCH7dqKKs5SPFbnj5t/KsY4S+U4D5wB/LTK+28BVxVTnFnmCO9kKqCI6Az0AZ4DDkgprQDIf9+/cJEVzA/I/efbUqWt3PfLYcAq4K78Lcs/jYhPUeb7JaX0NvA94C1gBbAmpfQYZb5f1LyYI7ZhftiR+WE75oadqmk/bD1p22pZvk2NLD8EbR7wDvB4SqlYj++lcsxNwGMRMTciJuTbii3OUjxWnw38Kv+6qOIsoeP8S8CQiNg3ItoCnwUOpvjirKrRcoRFpgKJiHbAA8AVKaUPCh1PoUXEaOCdlNLcQsdSZHYD+gI/SSn1AT6iOG77Laj8GOFTgEOBA4FPRcR5hY1KajzmiP9lfqiR+WE75oZ6i2rafPx0BlJKm1NuOFInYGB+SE1RKbFj7uCUUl/gZHLDy4cUOqBqlNSxOiJ2B8YA9xU6luqUynE+pfQK8P+Ax4HfAy+QmxKhFO1yjrDIVAAR0YrcycOUlNKv880rI6Jj/ucdyV3hKCeDgTERsQSYCpwQEb/E/bIMWJa/0gVwP7lEVe775TPAGymlVSmlT4BfA8fgflEzYI7YgfmheuaHHZkbalfTflhG7gr7Vp2A5U0cW1lJKb0PzCQ3v0mx/X6WzDE3pbQ8//0dcvMHDaT44iy1Y/XJwPMppZX598UWZ8kc51NKP0sp9U0pDQHeAxZRhHFW0Wg5wiJTE4uIAH4GvJJSuqXKjx4BxuZfjyU3D0fZSCldk1LqlFLqTO4WzSdTSufhfvkfYGlEdM03DQcWUOb7hdwtsoMiom3+/9RwcpMolvt+UYkzR+zI/FA980O1zA21q2k/PAKcHRF7RMShQBdgdgHia9YiYr+I2Cv/ug25k+VXKbLfz1I55kbEpyKi/dbX5ObleYkii7MEj9Xn8L9D5aD44iyZ43xE7J//fgjweXL7tejirKLRckTkJ29SE4mIY4FngPn87zjna8nNuTEdOITcf54zUkrvFSTIAouIocDXU0qjI2Jfyny/RERv4KfA7sBfgfHkCsTlvl/+GTiL3K2nfwEuAtpR5vtFpc0cUTvzw7bMDzsyN+RExK+AoUAHYCVwA/AQNeyHiLgOuIDcfrsipfS7AoTdrEVEBXAPuadhtQCmp5RuKuZjWTEfcyPiMHJ3L0FuSNq9KaVJxRYnlM6xOj930FLgsJTSmnxbMe7PkjjOR8QzwL7AJ8CVKaUnimV/Zp0jLDJJkiRJkiSpwRwuJ0mSJEmSpAazyCRJkiRJkqQGs8gkSZIkSZKkBrPIJEmSJEmSpAazyCRJkiRJkqQGs8gkSZIkSZKkBrPIJEmSJEmSpAazyCRJkiRJkqQGs8gkSZIkSZKkBrPIJEmSJEmSpAazyCRJkiRJkqQGs8gkSZIkSZKkBrPIJEmSJEmSpAazyCRJkiRJkqQGs8gkSZIkSZKkBrPIJEmSJEmSpAazyCRJkiRJkqQGs8gkSZIkSZKkBrPIJEmSJEmSpAazyCRJkiRJkqQGs8gkSZIkSZKkBrPIJEmSJEmSpAazyCRJkiRJkqQGs8gkSZIkSZKkBrPIJEmSJEmSpAazyCRJkiRJkqQGs8gkSZIkSZKkBrPIJEmSJEmSpAazyCRJkiRJkqQGs8gkSZIkSZKkBrPIJEmSJEmSpAbLtMgUEUsiYn5EzIuIOfm2fSLi8YhYlP++d5Xlr4mIxRGxMCJOyjI2SZIkSZIkNZ6muJNpWEqpd0qpf/79ROCJlFIX4In8eyLiSOBsoDswEvhxRLRsgvgkSZIkSZLUQIUYLncKcE/+9T3AqVXap6aUNqaU3gAWAwMLEJ8kSZIkSZJ20W4Zbz8Bj0VEAv4jpTQZOCCltAIgpbQiIvbPL3sQ8GyVdZfl22rUoUOH1Llz58aPWpKagblz576bUtqv0HEUknlCkqpnjsgxT0hS9eqbJ7IuMg1OKS3PF5Iej4hXa1k2qmlLOywUMQGYAHDIIYcwZ86cxolUkpqZiHiz0DEUWufOnc0TklQNc0SOeUKSqlffPJHpcLmU0vL893eAB8kNf1sZER0B8t/fyS++DDi4yuqdgOXVbHNySql/Sqn/fvuV/cUXSZIkSZKkopBZkSkiPhUR7be+BkYALwGPAGPzi40FHs6/fgQ4OyL2iIhDgS7A7KzikyRJkiRJUuPJcrjcAcCDEbG1n3tTSr+PiD8D0yPiQuAt4AyAlNLLETEdWABsAi5NKW3OMD5JkiRJkiQ1ksyKTCmlvwK9qmlfDQyvYZ1JwKSG9PvJJ5+wbNkyNmzY0JDNqES0bt2aTp060apVq0KHIqlEmCeUNXOTVNrMEyoF5hoVq6wn/m5yy5Yto3379nTu3Jn8XVRqplJKrF69mmXLlnHooYcWOhxJJcI8oSyZm6TSZ55QsTPXqJhlOvF3IWzYsIF9993XhFAGIoJ9993Xq0ySdol5QlkyN0mlzzyhYmeuUTFrdkUmwIRQRvy3llQfHjuUJX+/pNLn/2MVO39HVayaZZFJkiRJkiRJTavZzcm0vRkLVjbq9j5z5AGNur2sPfLIIyxYsICJEydm1secOXP4+c9/zq233ppZH5KUleaUJ77zne9w7bXX7nS5zp07M2fOHDp06MAxxxzDf//3f7NkyRL++7//my9+8YtNEGnT2voZJak+iiFP3HjjjbRr146vf/3r1f581apVjB49mo8//phbb72V4447rkExVpcnitW4ceMYPXo0p59++jbtF110EVdeeSVHHnlkgSKTylOzLzKVi02bNrHbbjv+c44ZM4YxY8Zk2nf//v3p379/pn2o6TT2H1LVKbVirVQq6lpkqmrricOSJUu49957i6rIVFNu21XFfHJUil6f+1zmffyffkdl3ofUnDzxxBN069aNe+65p9G3XczH0E2bNtX4s5/+9KdNGIma3MLfZd9H15Oz76MZcrhcBpYsWUK3bt0YO3YsFRUVnH766axbt44nnniCPn360LNnTy644AI2btzI7Nmz+fznPw/Aww8/TJs2bfj444/ZsGEDhx12GACvv/46I0eOpF+/fhx33HG8+uqrQK5qf+WVVzJs2DCuvvrqamO5++67+epXv1q5/P3331/5s3bt2gEwc+ZMjj/+eM4880wOP/xwJk6cyJQpUxg4cCA9e/bk9ddfr1z/K1/5CscddxyHH344v/nNbyrXHz16NJC7ynLBBRcwdOhQDjvssG3ubvr2t79Nt27dOPHEEznnnHP43ve+12j7XJJKydY8cdFFF9GjRw/OPfdcZsyYweDBg+nSpQuzZ8/mo48+4oILLmDAgAH06dOHhx9+GMgd1z//+c8zcuRIunTpwlVXXQXAxIkTWb9+Pb179+bcc88F4NRTT6Vfv350796dyZMnVxvL1lwwceJEnnnmGXr37s2//du/cdxxxzFv3rzK5QYPHsyLL75Y7TZmz57NMcccQ58+fTjmmGNYuHAhAOvWrePMM8+koqKCs846i6OOOoo5c+YA8LOf/YzDDz+coUOHcvHFF2+Tq6rmtppy4H333UePHj3o1asXQ4YMAeDll19m4MCB9O7dm4qKChYtWrTNZ0wp8Y1vfIMePXrQs2dPpk2bBuTy2NChQzn99NPp1q0b5557LimlXf53laTGNGnSJLp27cpnPvOZyuNqdcfEefPmcdVVV/Hoo4/Su3dv1q9fz2OPPcbRRx9N3759OeOMM/jwww+B3B1KN9xwA3379qVnz56Vx9TVq1czYsQI+vTpw5e//OVtjoFVzxlqOlY++uijdOvWjWOPPZbLLrus8tygOjfeeCNjx45lxIgRdO7cmV//+tdcddVV9OzZk5EjR/LJJ58AcNNNNzFgwAB69OjBhAkTKvsaOnQo1157Lccffzw//OEPt9n2t771LcaNG8eWLVsYOnRoZc5p164d1113Hb169WLQoEGsXLmycn8OGjSIAQMGcP3111d+Vkn1Z5EpIwsXLmTChAm8+OKL7Lnnntxyyy2MGzeOadOmMX/+fDZt2sRPfvIT+vbty1/+8hcAnnnmGXr06MGf//xnnnvuOY46KncVb8KECfz7v/87c+fO5Xvf+x6XXHJJZT+vvfYaM2bM4Pvf///s3XtcVVX++P/XBkkhr6RlpgVOCHI5HC6HiwiiqFgSeWNMcRQZUjPDyyfNacYybz8rRvEaaRJOecvUsNQZB5MQRQEDzZTw0vEy+jAlNVFQwP37A9lfkIuoIIjv5+PhA84+e6/13hwf+33W2mut/c8HivfAgQMsWLCAn376iS+++ILs7GxSU1OJiIhg0aJF2n5Go5EffviBLVu2MGbMmAqfaJCVlcV//vMfUlNT+eCDDygoKCA9PZ0NGzaQkZHBxo0btQu+EEI8ro4dO8b48eM5ePAgWVlZrF69muTkZKKiopgzZw6zZ8+mR48epKWlsXPnTiZPnsy1a9cAyMzM1PLJunXrOH36NHPnzsXc3JzMzExWrVoFQGxsLPv37yc9PZ2FCxeSk5NTaTxz587VOpYmTpxIREQEcXFxQHGuuXHjBjqdrsJj7ezsSEpKIiMjgxkzZmijqZYuXUqrVq04ePAg06ZNY//+/QCcPXuWmTNnsnfvXv773/9qjZwSpXNbZTlwxowZ/Oc//+HAgQNs3rwZgJiYGMaPH09mZibp6em0b9++TLkbN24kMzOTAwcOkJCQwOTJkzl37hwAGRkZREdHc/jwYU6cOMHu3bur/VkKIURN279/P2vXrtW+O6elpQEVtwv0ej0zZsxg8ODBZGZmcu3aNWbNmkVCQgI//vgj7u7uzJs3Tyu7devW/Pjjj7zxxhvaTd8PPviArl27kpGRQXBwMKdOnaowroqulfn5+YwePZpt27aRnJzMhQsX7np+x48fZ8uWLcTHxzNs2DC6d+/OTz/9hLm5OVu2bAFg3LhxpKWlcejQIfLy8rQb3ACXL1/mhx9+4P/+7/+0bVOmTOG3337j888/x8SkbDP32rVreHl5ceDAAfz8/Fi+fDkA48ePZ/z48aSlpdGuXbvqfDRCiLuQTqZa0qFDB3x8fAAYNmwYO3bswNramk6dOgEwYsQIkpKSaNSoES+++CJHjhwhNTWVSZMmkZSUxK5du/D19SU3N5c9e/YQEhKCXq9n9OjR2hdigJCQEExNTR84XoPBwLPPPkvjxo3505/+RO/evQFwcnLCaDRq+/35z3/GxMQEGxsbOnbsWK5hANC3b18aN25M69atefrppzl//jzJycm8+uqrmJub06xZM1555ZUHjlkIIR5l1tbWODk5YWJigoODAwEBASiKol13t2/fzty5c9Hr9ZDAMQ4AACAASURBVPj7+5Ofn6996Q8ICKBFixY0adIEe3t7Tp48WWEdCxcu1O7anj59WhvZUx0hISF89913FBQUEBsbS1hYWKX7XrlyhZCQEBwdHZk4cSI///wzAMnJybz22msAODo6ap1UqampdOvWDUtLS8zMzAgJCSlXt6mpaZU50MfHh7CwMJYvX05RUREA3t7ezJkzhw8//JCTJ09ibm5eptzk5GSGDBmCqakpzzzzDN26ddMabh4eHrRv3x4TExP0en2Z3CeEEA/brl276N+/PxYWFjRv3pzg4GDy8/OrbBeU2Lt3L4cPH8bHxwe9Xs/KlSvL5ImSWRRubm7atS4pKYlhw4YBxd/lW7VqVWFcFV0rs7Ky6NixI9bW1gAMGTLkruf30ksvYWZmhpOTE0VFRfTp0wco2/bYuXMnnp6eODk58f3332u5BWDw4MFlyps5cyaXL1/m008/rfCpa0888YQ2uqr0eaekpGg5qD5NFxfiUSZrMtWSe3mkpK+vL9u2bcPMzIyePXsSFhZGUVERUVFR3Lp1i5YtW5aZslDak08+We16GjVqxK1bt4DiKQM3b97U3mvcuLH2u4mJifbaxMSkzFznO8+rovMsXZapqSmFhYUy7UAIIe5wt+uuqakpGzZswNbWtsxx+/btq/A6e6fExEQSEhJISUnBwsJC66iqLgsLC3r16kV8fDxfffVVlSNQp02bRvfu3dm0aRNGoxF/f3+ASq/9d8sJJbmtqhwYExPDvn372LJlC3q9nszMTIYOHYqnpydbtmwhMDCQzz77jB49elSr3ur8TYUQ4mG683v23doFJVRVpVevXqxZs6bC90uud3de66rTfqmp7/mlc56ZmZlWd0kOzM/PZ+zYsaSnp9OhQwemT59eJofd2QYyGAzs37+f33//HUtLy3L1la5DrvFC1C4ZyVRLTp06RUpKCgBr1qyhZ8+eGI1Gjh07BsAXX3xBt27dAPDz8yM6Ohpvb2/atGlDTk4OWVlZODg40Lx5c6ytrVm/fj1QnDQOHDhwXzFZWVlpUxXi4+O1+c73Yv369dy6dYvjx49z4sSJco2fynTt2pVvv/2W/Px8cnNztWGw4h79sq32/wkh6oXAwEAWLVqkfXkvmVpdFTMzM+3afuXKFVq1aoWFhQVZWVns3bu3ymObNWvG1atXy2yLiIggMjISg8FQ4Zf2EleuXOG5554D0KbYQfG1/6uvvgLg8OHD/PTTT0DxnfAffviBS5cuUVhYyIYNGyost6ocePz4cTw9PZkxYwatW7fm9OnTnDhxgo4dOxIZGUlwcHC5NaT8/PxYt24dRUVFXLhwgaSkJDw8PKr8uwghRF3w8/Nj06ZN5OXlcfXqVb799lssLCyq1S7w8vJi9+7dWrvj+vXrZGdn37W+kqnW27Zt49KlS9WO1c7OjhMnTmijg0rWu3sQJR1KrVu3Jjc3t8y6shXp06cPU6dOpW/fvuVyWVW8vLy0HLR27dr7D1gIoWnwI5nq6ilWnTt3ZuXKlYwePRobGxsWLFiAl5cXISEhFBYWYjAYGDNmDACenp6cP39eW7hUp9Px9NNPa73tq1at4o033mDWrFkUFBTw2muv4ezsXO1YSsp5/fXXefXVV/Hw8CAgIOCeRkGVsLW1pVu3bpw/f56YmBiaNGlSreMMBgPBwcE4Ozvzwgsv4O7uTosWLe65/sdd5unLtV+JTEcXj5n6+rTDadOmMWHCBHQ6HaqqYmVlVWY9ioqMGjUKnU6Hq6srsbGxxMTEoNPpsLW1xcvLq8pjdTodjRo1wtnZmbCwMCZOnIibmxvNmzdn5MiRVR47ZcoURowYwbx588qMHBo7dqz2EAwXFxd0Oh0tWrTgueee491338XT05N27dphb29faU6oLAdOnjyZo0ePoqoqAQEBODs7M3fuXL788kvMzMxo27Yt7733Xpmy+vfvT0pKCs7OziiKwkcffUTbtm0rnPothBAl6iJPuLq6MnjwYPR6PS+88AK+vr5A9doFbdq0IS4ujiFDhnDjxg0AZs2apS3bUZH333+fIUOG4OrqSrdu3Xj++eerHau5uTlLly6lT58+tG7dukY671u2bMnrr7+Ok5MTVlZWGAyGux4TEhLC1atXCQ4OZuvWrdWqJzo6mmHDhvHPf/6Tvn37SvtEiBqgPMrTmNzd3dU7h+8fOXKEzp0711FExYxGI0FBQRw6dKhO4wD45z//yR9//MEHH3zwwGWFhYURFBTEoEGD7uv43NxcmjZtyvXr1/Hz82PZsmW4uro+cFz14TN/WDITKh72/KjR97z7XH3x4BRF2a+qqntdx1GX6mueeFScPXsWf39/srKyyi2iWh1FRUUUFBTQpEkTjh8/TkBAANnZ2TzxxBNaTigsLKR///6Eh4fTv3//WjiLutGQ/58d37+v1uv4k5tnrdfxuJMcUUzyRM0ouaarqsqbb76JjY0NEydOrOuw7ur69euYm5ujKApr165lzZo12tNcHwWP9f/VhzEDw/al2q+jHrvfPNHgRzI9zmJiYoiLi2Pjxo11HQpQfIf98OHD5OfnM2LEiBrpYBJCCFE7/vWvf/H3v/+defPm3VcHExR/ee/evTsFBQWoqsonn3zCE088ARQ/wjohIYH8/Hx69+5Nv379ajJ8IYQQD9Hy5ctZuXIlN2/exMXFhdGjR9d1SNWyf/9+xo0bh6qqtGzZktjY2LoOSYhHnnQy1QIrK6uHPorp888/Z8GCBWW2+fj4aOtf1ITS62zcj9WrV9dMIEIIIWrd8OHDGT58eJltleWaJUuWVFhGs2bNKl0wvOSx2UIIIR59EydOLDdy6V5zRl3w9fW97/VuhRAVk06mBmLkyJF3XTNDCCGEeBCSa4QQQlSX5AwhHk/ydDkhhBBCCCGEEEII8cCkk0kIIYQQQgghhBBCPDDpZBJCCCGEEEIIIYQQD0w6mYQQQgghhBBCCCHEA2v4C3//sq1my7N9qWbLqwNGo5E9e/YwdOjQGikvJiYGCwuLck8hEo+mH/OO1nod+lqvQYh70IDyxJw5c3j33Xfvup+VlRXp6em0bt2aLl26sGfPngfKDZs3b+bw4cNMnTq10n1qOvfcq8TERJ544gm6dOkCSO4SQtyDepAnpk+fTtOmTXn77bcrfP/ChQsEBQVx8+ZNFi5ciK+v7wOFWFGeqE01nSMSExOJioriu+++q1aOulfR0dGMGjUKCwuLez42Li6O9PR0Fi9eXGb73T5jIR4VMpKpgSgsLKz2vkajkdWrV9dY3WPGjJEv6UIIUQ/MmTPnno8paTg8SG4IDg6+65f3+ym/qKjovuKpSGJiYplGkuQuIURDsmPHDuzs7MjIyHjgDqY71XYHE9R8+6S06uSoexUdHc3169drtEwhGgrpZKoFRqMROzs7RowYgU6nY9CgQVy/fp0dO3bg4uKCk5MT4eHh3Lhxg9TUVAYMGABAfHw85ubm3Lx5k/z8fDp27AjA8ePH6dOnD25ubvj6+pKVlQVAWFgYkyZNonv37rzzzjsVxvLDDz+g1+vR6/W4uLhw9epVpk6dyq5du9Dr9cyfPx+j0Yivry+urq64urpqiSQxMZFu3brx5z//mU6dOjF16lRWrVqFh4cHTk5OHD9+HCjudY+KigLA39+fd955Bw8PDzp16sSuXbu0v0lFdQghxOOoJE9ERETg6OhIaGgoCQkJ+Pj4YGNjQ2pqKteuXSM8PByDwYCLiwvx8fFA8R3QAQMG0KdPH2xsbJgyZQoAU6dOJS8vD71eT2hoKAD9+vXDzc0NBwcHli1bVmEsTZs21Y4vnRt8fX3JzMzU9vPx8eHgwYMVlhEXF8e4ceOA4twUGRlJly5d6NixI19//XWF5RcVFTF58mQMBgM6nY5PP/0UKM493bt3Z+jQoTg5OVFUVMTbb7+Nk5MTOp2ORYsWAbB//366deuGm5sbgYGBnDt3DijOQxMmTKBLly44OjqSmpqK0WgkJiaG+fPno9fr2bVrV5nclZmZiZeXFzqdjv79+3Pp0iWtrIpy2s8//4yHhwd6vR6dTsfRo7U/AlQI8fiZPXs2tra29OzZk19++QWouF2QmZnJlClT2Lp1K3q9nry8PLZv3463tzeurq6EhISQm5sLFI9Qev/993F1dcXJyUlrV+Tk5NC7d29cXFwYPXo0qqpqcZTkicTERPz9/Rk0aBB2dnaEhoZq+23duhU7Ozu6du1KZGQkQUFBlZ7Xg7ZPKovh3//+txbDxo0btfqqk6Nu3brF2LFjcXBwICgoiJdffll7704LFy7k7NmzdO/ene7duwPwxhtv4O7ujoODA++//762b1paGl26dMHZ2RkPDw+uXr1apqwtW7bg7e3NxYsXy2yvrP0nxKOg4U+XqyO//PILK1aswMfHh/DwcObNm8enn37Kjh076NSpE8OHD+eTTz5h3LhxZGRkALBr1y4cHR1JS0ujsLAQT09PAEaNGkVMTAw2Njbs27ePsWPH8v333wOQnZ1NQkICpqamFcYRFRXFkiVL8PHxITc3lyZNmjB37lxt+CjA9evX+e9//0uTJk04evQoQ4YMIT09HYADBw5w5MgRLC0t6dixIxEREaSmprJgwQIWLVpEdHR0uToLCwtJTU1l69atfPDBByQkJPD0009XWocQQjyOjh07xvr161m2bBkGg4HVq1eTnJzM5s2bmTNnDvb29vTo0YPY2FguX76Mh4cHPXv2BIo7RTIyMmjcuDG2tra89dZbzJ07l8WLF5fpGIqNjcXS0pK8vDwMBgMDBw7kqaeeqjCeO3ODpaUlcXFxREdHk52dzY0bN9DpdNU6t3PnzpGcnExWVhbBwcEMGjSoXPnLli2jRYsWpKWlcePGDXx8fOjduzcAqampHDp0CGtraz755BN+/fVXMjIyaNSoEb///jsFBQW89dZbxMfH06ZNG9atW8ff//53YmNjAbh27Rp79uwhKSmJ8PBwDh06xJgxY8pMQ9ixY4cW7/Dhw1m0aBHdunXjvffe44MPPtDyW0U5LSYmhvHjxxMaGsrNmzdrdMSVEEJAcUf62rVrycjIoLCwEFdXV9zc3CptF8yYMUObgnXx4kVmzZpFQkICTz75JB9++CHz5s3jvffeA6B169b8+OOPLF26lKioKD777DM++OADunbtynvvvceWLVsqvTGRkZHBzz//TLt27fDx8WH37t24u7szevRokpKSsLa2ZsiQIVWe24O2TyqL4fXXX+f777/nxRdfZPDgwZXWX1GO2rhxI0ajkZ9++onffvuNzp07Ex4eXuHxkZGRzJs3j507d9K6dWuguEPQ0tKSoqIiAgICOHjwIHZ2dgwePJh169ZhMBj4448/MDc318rZtGkT8+bNY+vWrbRq1apMHVW1/4So76STqZZ06NABHx8fAIYNG8bMmTOxtramU6dOAIwYMYIlS5YwYcIEXnzxRY4cOUJqaiqTJk0iKSmJoqIifH19yc3NZc+ePYSEhGhl37hxQ/s9JCSk0g4mKL7zPGnSJEJDQxkwYADt27cvt09BQQHjxo0jMzMTU1NTsrOztfcMBgPPPvssAH/605+0BoCTkxM7d+6ssM6SkVlubm4Yjca71iGEEI8ja2trnJycAHBwcCAgIABFUXBycsJoNHLmzBk2b96sjbbJz8/n1KlTAAQEBNCiRQsA7O3tOXnyJB06dChXx8KFC9m0aRMAp0+f5ujRo5V2Mt0pJCSEmTNn8vHHHxMbG0tYWFi1z61fv36YmJhgb2/P+fPnK9xn+/btHDx4ULtTfOXKFY4ePcoTTzyBh4cH1tbWACQkJDBmzBgaNSr+ymJpacmhQ4c4dOgQvXr1Aoqn1ZXkKkBr4Pj5+fHHH39w+fLlSmO9cuUKly9fplu3bkBxfi6dcyvKad7e3syePZszZ84wYMAAbGxsqv23EUKI6ti1axf9+/fX1vwJDg4mPz+/ynZBib1793L48GGtLXLz5k28vb2190tf10pG/CQlJWm/9+3bt1ynRwkPDw+tPaHX6zEajTRt2pSOHTtq1+0hQ4ZU2kkFD94+qSwGa2tr7Xo8bNiwSmOoKEclJycTEhKCiYkJbdu21UYoVddXX33FsmXLKCws5Ny5cxw+fBhFUXj22WcxGAwANG/eXNt/586dpKens3379jLbgbu2/4So76STqZYoilLtfX19fdm2bRtmZmb07NmTsLAwioqKiIqK4tatW7Rs2bLMnenSnnzyySrLnjp1Kn379mXr1q14eXmRkJBQbp/58+fzzDPPcODAAW7dukWTJk209xo3bqz9bmJior02MTGpdB2okn1MTU21faqqQwghHkd3u76ampqyYcMGbG1tyxy3b9++MseWvtaWlpiYSEJCAikpKVhYWODv709+fn6147OwsKBXr17Ex8fz1Vdf3dPo09LxlZ5yUZqqqixatIjAwMBycZfObaqqlsupqqri4OBASkpKhWXfuf+95OQ7VZTThg4diqenJ1u2bCEwMJDPPvuMHj163HcdQghRkTuvXXdrF5RQVZVevXqxZs2aCt+v6LpWUX1VHVv6+Mqu85WpyfZJ6XOo7rW+ohx1r+dQ2q+//kpUVBRpaWm0atWKsLAw8vPzK8xfJTp27MiJEyfIzs7G3d29zHvV/ZyFqK9kTaZacurUKe3L75o1a+jZsydGo5Fjx44B8MUXX2h3Tf38/IiOjsbb25s2bdqQk5NDVlYWDg4ONG/eHGtra9avXw8UXwAPHDhQ7TiOHz+Ok5MT77zzDu7u7mRlZdGsWbMy84GvXLnCs88+i4mJCV988UWtDPt/GHUIIURDEhgYyKJFi7QvviVTq6tiZmZGQUEBUHzdbdWqFRYWFmRlZbF3794qj70zNwBEREQQGRmJwWDA0tLyPs+k4vIDAwP55JNPtHizs7O5du1aueN69+5NTEyM1oj4/fffsbW15cKFC1qeLSgo4Oeff9aOWbduHVB8Z7pFixa0aNGiwvMDaNGiBa1atdLWWyqdnytz4sQJOnbsSGRkJMHBwZWuVSWEEPfLz8+PTZs2kZeXx9WrV/n222+xsLCoVrvAy8uL3bt3a+2O69ev33UWgZ+fH6tWrQJg27Zt2tp01WFnZ8eJEye00Z4l1+DK1Eb7xM7Ojl9//VVbM7ayDrbKdO3alQ0bNnDr1i3Onz9PYmJilfuXjvePP/7gySefpEWLFpw/f55t27ZpMZ09e5a0tDQArl69quWyF154gY0bNzJ8+PAy+Qt44PafEHWt4Y9kqqNHSXfu3JmVK1cyevRobGxsWLBgAV5eXoSEhFBYWIjBYGDMmDEAeHp6cv78efz8/ADQ6XQ8/fTTWs/3qlWreOONN5g1axYFBQW89tprODs7VyuO6Ohodu7ciampKfb29rz00kuYmJjQqFEjnJ2dCQsLY+zYsQwcOJD169fTvXv3u46Ouh8Pow4hhLgvdZQn7mbatGlMmDABnU6HqqpYWVlpa1VUZtSoUeh0OlxdXYmNjSUmJgadToetrS1eXl5VHqvT6crkhokTJ+Lm5kbz5s0ZOXLkA5/PneWPHz8eo9GIq6srqqrSpk0bvvnmm3LHRUREkJ2djU6nw8zMjNdff51x48bx9ddfExkZyZUrVygsLGTChAk4ODgA0KpVK7p06cIff/yhrdP0yiuvMGjQIOLj47XFw0usXLmSMWPGcP36dTp27Mjnn39e5bmsW7eOL7/8EjMzM9q2bautcyKEaKDqIE+4uroyePBg9Ho9L7zwgvbEuOq0C9q0aUNcXBxDhgzRplnNmjVLW7ajIu+//z5DhgzB1dWVbt268fzzz1c7VnNzc5YuXUqfPn1o3bo1Hh4eVe5fG+2TJk2asGzZMvr27Uvr1q3p2rUrhw4dqvY5DBw4kB07duDo6EinTp3w9PTUpqVXZNSoUbz00ks8++yz7Ny5ExcXFxwcHOjYsaM2TfGJJ55g3bp1vPXWW+Tl5WFubl5m1JatrS2rVq0iJCSEb7/9tkz5D9L+E6KuKQ8yNLCuubu7q3cO3z9y5AidO3euo4iKGY1GgoKC7unCJu5fffjMH5bMhHu7K3M/fsyr/ackhb8iDbKHQVGU/aqqut99z4arvuaJR8XZs2fx9/cnKysLE5NHY/Czv78/UVFR5aYfPGwN+f/Z8f37ar2OP7l51nodjzvJEcUkT9SM3NxcmjZtiqqqvPnmm9jY2DBx4sS6DuuelJxDTk4OHh4e7N69m7Zt29Z1WFV6rP+v/rKt9uuopzciH5b7zROPxjdGIYQQQjxU//rXv/D09GT27NmPTAeTEEKIurF8+XL0ej0ODg5cuXKF0aNH13VI9ywoKAi9Xo+vry/Tpk2r9x1MQtRXDX+6XB2wsrJ66KOYPv/8cxYsWFBmm4+PD0uWLHmocQghxL1QFMUIXAWKgEJVVd0VRbEE1gFWgBH4s6qql27v/zfgr7f3j1RV9T91EPZjYfjw4QwfPrzMtkch19xtHQ0hhBA1b+LEieVGLj0KOaO0ivJH//79+fXXX8ts+/DDD8s9tEII8f9IJ1MDMXLkyBpZM0MIIepAd1VVL5Z6PRXYoarqXEVRpt5+/Y6iKPbAa4AD0A5IUBSlk6qq8iSBh0RyjRBCiOpqCDlj06ZNdR2CEI8c6WQS4hHyMNZLEqIeeBXwv/37SiAReOf29rWqqt4AflUU5RjgAVT8HHshhBBCCCHEQyWLLAghhKhLKrBdUZT9iqKMur3tGVVVzwHc/vn07e3PAadLHXvm9jYhhBBCCCFEPSCdTEIIIeqSj6qqrsBLwJuKovhVsa9SwbZyj0hVFGWUoijpiqKkX7hwoabiFEIIUQcURTFVFCVDUZTvbr+2VBTlv4qiHL39s1Wpff+mKMoxRVF+URRFFs0RQog6IJ1MjyGj0cjq1asfSl3ffPMNhw8f1l77+/tz52NihRCPL1VVz97++RuwieLpb+cVRXkW4PbP327vfgboUOrw9sDZCspcpqqqu6qq7m3atKnN8OudOXPmVGs/KysrLl4sXgarS5cuwMPNDZV5+eWXuXz5MpcvX2bp0qXa9rNnzzJo0KAHLlcI8UgaDxwp9bpk3T4bYMft19yxbl8fYKmiKKYPOdZaM336dKKioip9/8KFC3h6euLi4sKuXbseuL6K8kRtMhqNODo6ApCenk5kZORDjysxMZE9e/bc9/FNmzYtt630eQnxuGjwazIlnk6s0fL8O/jXaHk1pbCwkEaNqvdxljQkhg4d+kDlVMc333xDUFAQ9vb2NVamEKJhUBTlScBEVdWrt3/vDcwANgMjgLm3f8bfPmQzsFpRlHkUL/xtA6Q+aBwNKU/MmTOHd999956OKflCXVVueFi2bt2qxbJ06VLGjh0LQLt27fj6668fuFwhxKNFUZT2QF9gNjDp9uaHvm7fo5AnduzYgZ2dHStXrqzxsh+k4+V+uLu74+7uftf9ajquxMREmjZt+lA61YRoyGQkUy0wGo3Y2dkxYsQIdDodgwYN4vr16+zYsQMXFxecnJwIDw/nxo0bpKamMmDAAADi4+MxNzfn5s2b5Ofn07FjRwCOHz9Onz59cHNzw9fXl6ysLADCwsKYNGkS3bt355133qkwlh9++AG9Xo9er8fFxYWrV68ydepUdu3ahV6vZ/78+cTFxRESEsIrr7xC7969uXbtGuHh4RgMBlxcXIiPL27fxcXFMWDAAPr06YONjQ1TpkzR6lmxYgWdOnXC39+f119/nXHjxrFnzx42b97M5MmT0ev1HD9+HID169fj4eFBp06dauROixDikfUMkKwoygGKO4u2qKr6b4o7l3opinIU6HX7Naqq/gx8BRwG/g28+ag+Wa4kT0RERODo6EhoaCgJCQn4+PhgY2NDamrqPV+Lp06dSl5eHnq9ntDQUAD69euHm5sbDg4OLFu2rMJYSu683pkbfH19yczM1Pbz8fHh4MGDFZYxffp0/vKXv9CjRw9sbGxYvnw5AKqqMnnyZBwdHXFycmLdunUAnDt3Dj8/P/R6PY6OjlouKLlDPXXqVI4fP45er2fy5Mll7gTn5+czcuRInJyccHFxYefOnVX+XUqXazQa6dy5M6+//joODg707t2bvLw8ANLS0tDpdHh7e2sxCyHqXDQwBbhVattjs27f7NmzsbW1pWfPnvzyyy9Axe2CzMxMpkyZwtatW9Hr9eTl5bF9+3a8vb1xdXUlJCSE3NxcoPh6+P777+Pq6oqTk5PWrsjJyaF37964uLgwevRoVPX/zUYvyROJiYn4+/szaNAg7OzsCA0N1fbbunUrdnZ2dO3alcjISIKCgio9r4raJ6UlJiZqxz+suIxGIzExMcyfPx+9Xs+uXbv49ttvtdFhPXv25Pz58wDk5uZqeUin07Fhw4YyZV28eBFvb2+2bNlSZntRURGTJ0/GYDCg0+n49NNPK/0bCfEoa/AjmerKL7/8wooVK/Dx8SE8PJx58+bx6aefsmPHDjp16sTw4cP55JNPGDduHBkZGQDs2rULR0dH0tLSKCwsxNPTE4BRo0YRExODjY0N+/btY+zYsXz//fcAZGdnk5CQgKlpxaOBo6KiWLJkCT4+PuTm5tKkSRPmzp1LVFQU3333HVD8xTwlJYWDBw9iaWnJu+++S48ePYiNjeXy5ct4eHjQs2dPADIzM8nIyKBx48bY2try1ltvYWpqysyZM/nxxx9p1qwZPXr0wNnZmS5duhAcHExQUFCZaQ6FhYWkpqaydetWPvjgAxISEmrtcxBC1F+qqp4AnCvYngMEVHLMbIrvaD/yjh07xvr161m2bBkGg4HVq1eTnJzM5s2bmTNnDvb29vd0LZ47dy6LFy8u0zEUGxuLpaUleXl5GAwGBg4cyFNPPVVhPHfmBktLS+Li4oiOjiY7O5sbN26g0+kqPZ+DBw+yd+9erl27houLC3379iUlJYXMzEwOHDjAxYsXV55MfQAAIABJREFUMRgM+Pn5sXr1agIDA/n73/9OUVER169fLxfLoUOHtHMxGo3ae0uWLAHgp59+Iisri969e5OdnV3p36VDhw5lyj569Chr1qxh+fLl/PnPf2bDhg0MGzaMkSNHsmzZMrp06cLUqVOr8xEKIWqRoihBwG+qqu5XFMW/OodUsK3cun23yx4FjAJ4/vnn7zvG2rR//37Wrl1LRkYGhYWFuLq64ubmVmm7YMaMGaSnp7N48WIuXrzIrFmzSEhI4Mknn+TDDz9k3rx5vPfeewC0bt2aH3/8kaVLlxIVFcVnn33GBx98QNeuXXnvvffYsmVLpTcmMjIy+Pnnn2nXrh0+Pj7s3r0bd3d3Ro8eTVJSEtbW1gwZMqTKc6uofVKZhxWXlZUVY8aMoWnTprz99tsAXLp0ib1796IoCp999hkfffQR//znP5k5cyYtWrTgp59+0vYrcf78eYKDg5k1axa9evUqk79WrFhBixYtSEtL48aNG/j4+NC7d2+sra2r/HsJ8aiRTqZa0qFDB3x8fAAYNmwYM2fOxNramk6dOgEwYsQIlixZwoQJE3jxxRc5cuQIqampTJo0iaSkJIqKivD19SU3N5c9e/YQEhKilX3jxg3t95CQkEo7mKD4zvOkSZMIDQ1lwIABtG/fvsL9evXqhaWlJQDbt29n8+bN2rzv/Px8Tp06BUBAQAAtWrQAwN7enpMnT3Lx4kW6deumHR8SEqJ94a9IycgtNze3MhdeIYR4nFhbW+Pk5ASAg4MDAQEBKIqCk5MTRqORM2fO3NO1+M7OFICFCxeyadMmAE6fPs3Ro0cr7WS6U0hICDNnzuTjjz8mNjaWsLCwKvd/9dVXMTc3x9zcnO7du5OamkpycjJDhgzB1NSUZ555hm7dupGWlobBYCA8PJyCggL69euHXq+vVkwAycnJvPXWWwDY2dnxwgsvaDmnOn8Xa2trrb6SPHT58mWuXr2qTZEYOnSo1tkmhKgzPkCwoigvA02A5oqifMntdftUVT13P+v2QfHafcAyAHd39wo7ourarl276N+/PxYWFgAEBweTn59fZbugxN69ezl8+LDWFrl58ybe3t7a+6W/i2/cuBGApKQk7fe+ffvSqlUrKuLh4aG1J/R6PUajkaZNm9KxY0ets2TIkCGVdgZB9dsnDzuuO505c4bBgwdz7tw5bt68qZWTkJDA2rVrtf1KYiooKCAgIIAlS5bQrVu3cuVt376dgwcPatO/r1y5wtGjR6WTSTQ4td7JdHvBvXTgf6qqBimKYgmsA6wAI/BnVVUv3d73b8BfgSIgUlXV/9R2fLVFUSq6mVIxX19ftm3bhpmZGT179iQsLIyioiKioqK4desWLVu2LHNnurQnn3yyyrKnTp1K37592bp1K15eXpWOGipdjqqqbNiwAVtb2zL77Nu3j8aNG2uvTU1NKSwsLDNstTpKyig5XgghHkelr6cmJibaaxMTEwoLCzE1Nb2na/GdEhMTSUhIICUlBQsLC/z9/cnPz692fBYWFvTq1Yv4+Hi++uqruz604c68pyhKpfnBz8+PpKQktmzZwl/+8hcmT57M8OHDqxVXVTmnOn+XO/fJy8u75zwmhKh9qqr+DfgbwO2RTG+rqjpMUZSPeYjr9tWlO6+rd2sXlFBVlV69erFmzZoK36/su3h12i810RaoqH1S1WimhxXXnd566y0mTZpEcHAwiYmJTJ8+HSj++1YUU6NGjXBzc+M///lPhZ1MqqqyaNEiAgPlwYc1IfHS4bvv9ID8eanW62iIHsaaTI/lEyFOnTpFSkrxOoNr1qyhZ8+eGI1Gjh07BsAXX3yhXXz8/PyIjo7G29ubNm3akJOTQ1ZWFg4ODjRv3hxra2vWr18PFF+cDhw4UO04jh8/jpOTE++88w7u7u5kZWXRrFmzcnOfSwsMDGTRokXahblkOl9lPDw8+OGHH7h06RKFhYVl5iXfrS4hhBAVu9drMYCZmRkFBQVA8R3SVq1aYWFhQVZWFnv37q3y2Iqu1xEREURGRmIwGLTRqpWJj48nPz+fnJwcEhMTtalx69ato6ioiAsXLpCUlISHhwcnT57k6aef5vXXX+evf/0rP/74411jKeHn58eqVauA4injp06dKtcRd69atWpFs2bNtL9R6TvUQoh6p8Gv2wfF17pNmzaRl5fH1atX+fbbb7GwsKhWu8DLy4vdu3dr7Y7r169XOcugpL6Sa+u2bdvKTAG7Gzs7O06cOKHNUChZf68yFbVP6kNcd+aeK1eu8Nxzxct6lV5QvXfv3ixevFh7XRKToijExsaSlZXF3Llzy5UfGBjIJ598ouXp7Oxsrl27Vu3zEeJRUaudTKWeCPFZqc2vUvwkCG7/7Fdq+1pVVW+oqvorUPJEiEdS586dWblyJTqdjt9//52JEyfy+eefExISgpOTEyYmJowZMwYAT09Pzp8/j5+fHwA6nQ6dTqf1kK9atYoVK1bg7OyMg4ODtvhrdURHR+Po6IizszPm5ua89NJL6HQ6GjVqhLOzM/Pnzy93zLRp0ygoKECn0+Ho6Mi0adOqrOO5557j3XffxdPTk549e2Jvb69NV3jttdf4+OOPcXFx0Rb+FkIIcXf3ei2G4jX8dDodoaGh9OnTh8LCQnQ6HdOmTcPLy6vKYyvKDW5ubjRv3pyRI0fetW4PDw/69u2Ll5cX06ZNo127dvTv3x+dToezszM9evTgo48+om3btiQmJmoLvm7YsIHx48eXKeupp57Cx8cHR0dHJk+eXOa9sWPHUlRUhJOTE4MHDyYuLq7MHez7tWLFCkaNGoW3tzeqqmp5TAhR91RVTVRVNej27zmqqgaoqmpz++fvpfabrarqn1RVtVVVdVvdRfzgXF1dGTx4MHq9noEDB+Lr6wtUr13Qpk0b4uLiGDJkCDqdDi8vryo7cgDef/99kpKScHV1Zfv27fe0VpW5uTlLly6lT58+dO3alWeeeabKa2hF7ZP6ENcrr7zCpk2btIW/p0+fTkhICL6+vrRu3Vrb7x//+AeXLl3SzqHkARRQPIpq7dq17Ny5k6VLl5YpPyIiAnt7e1xdXXF0dGT06NEyq0M0SEptDhFXFOVr4P8DmlE8xDVIUZTLqqq2LLXPJVVVWymKshjYq6rql7e3rwC2qapa6TOL3d3d1TuH7x85coTOnTvXxulUm9FoJCgoiEOHDtVpHA9Tbm4uTZs2pbCwkP79+xMeHk7//v0fSt314TN/WGK/nVHXIdSI8Ffeq+sQHguKouxXVfXuzwBuwOprnnhUnD17Fn9/f7KysjAxqfy+1PTp08sslvooKsljULzw+Llz51iwYMF9l9eQ/58d37+v1uv4k5tnrdfxuJMcUUzyRM0ouYaqqsqbb76JjY0NEydOrOuw6m1cNeVx/r+auPeftV6Hv9f/1Xod9dn95olaG8lU+okQ1T2kgm3lesAURRmlKEq6oijpFy5ceKAYRc2ZPn269ihqa2tr+vXrd/eDhBBC1Fv/+te/8PT0ZPbs2VV2MDUUW7Zs0fLYrl27+Mc//lHXIQkhxCNj+fLl6PV6HBwcuHLlCqNHj67rkID6G5cQDVltLvxdK0+EeBSeBmFlZfXQRzF9/vnn5e64+vj4aI96rm0lTz8SQgjRMAwfPrzcYtx1nWtq0+DBgxk8eHBdhyGEEI+kiRMnlhshVB9yRn2Nq6FLOHy+1uuo9SeYiftWa5+NPBHi4Ro5cmS11swQQggh7pfkGiGEENVVX3NGfY1LiIaiLjoA5wJfKYryV+AUEALFT4RQFKXkiRCFPOJPhBBCCCGEEEI8mip7TL0Q9UVtrq0sxIN4KJ1MqqomAom3f88BAirZbzYw+2HEJIQQQgghhBB3atKkCTk5OTz11FPS0STqJVVVycnJoUmTJnUdihDlyFRGIYQQQgghhLitffv2nDlzBnnIkKjPmjRpQvv27es6DCHKkU4mIYQQQgghhLjNzMwMa2vrug5DCCEeSQ2+k+nq9ztrtLxmPbrXaHm1LS4ujvT0dBYvXlwn9YeFhREUFMSgQYOqtb/RaGTPnj0MHTq0liMTQohiDSlPzJkzh3ffffeu+1lZWZGenk7r1q3p0qULe/bsqZXrb0xMDBYWFuWeUldi8+bNHD58mKlTp9ZYnUIIIYQQou40+E6mx0VhYSGNGj36H6fRaGT16tXSyVSJVof/V+t1XLJ/rtbrEELUjup2MpW2Z88eoHauv2PGjKny/eDgYIKDg2usPiGEEEIIUbdM6jqAhshoNGJnZ8eIESPQ6XQMGjSI69evs2PHDlxcXHByciI8PJwbN26QmprKgAEDAIiPj8fc3JybN2+Sn59Px44dATh+/Dh9+vTBzc0NX19fsrKygOJRQpMmTaJ79+688847d43r5MmTBAQEoNPpCAgI4NSpU1o5kZGRdOnShY4dO/L1118DcOvWLcaOHYuDgwNBQUG8/PLL2nsVmTp1Kvb29uh0Ot5++21te1JSUrmyVVVl8uTJODo64uTkxLp167Qydu3ahV6vZ/78+fz88894eHig1+vR6XQcPXr0Xj8OIYSod0ryREREBI6OjoSGhpKQkICPjw82NjakpqZy7do1wsPDMRgMuLi4EB8fDxSPUB0wYAB9+vTBxsaGKVOmAMXXz7y8PPR6PaGhoQD069cPNzc3HBwcWLZsWYWxNG3aVDu+9PXX19eXzMxMbT8fHx8OHjxY7vhbt25hZWXF5cuXtW0vvvgi58+fZ/r06URFRQGwcOFCLUe89tpr2rmMGzcOuPccJYQQQggh6p9Hf+hLPfXLL7+wYsUKfHx8CA8PZ968eXz66afs2LGDTp06MXz4cD755BPGjRtHRkYGALt27cLR0ZG0tDQKCwvx9PQEYNSoUcTExGBjY8O+ffsYO3Ys33//PQDZ2dkkJCRgamp615jGjRvH8OHDGTFiBLGxsURGRvLNN98AcO7cOZKTk8nKyiI4OJhBgwaxceNGjEYjP/30E7/99hudO3cmPDy8wrJ///13Nm3aRFZWFoqilGlsVFZ2ZmYmBw4c4OLFixgMBvz8/Jg7dy5RUVF89913ALz11luMHz+e0NBQbt68SVFR0f1/KEIIUY8cO3aM9evXs2zZMgwGA6tXryY5OZnNmzczZ84c7O3t6dGjB7GxsVy+fBkPDw969uwJQGZmJhkZGTRu3BhbW1veeust5s6dy+LFi8t0DMXGxmJpaUleXh4Gg4GBAwfy1FNPVRjPnddfS0tL4uLiiI6OJjs7mxs3bqDT6codZ2JiwquvvsqmTZsYOXIk+/btw8rKimeeeaZc+b/++iuNGzcukyNK3GuOEkIIIYQQ9Y90MtWSDh064OPjA8CwYcOYOXMm1tbWdOrUCYARI0awZMkSJkyYwIsvvsiRI0dITU1l0qRJJCUlUVRUhK+vL7m5uezZs4eQkBCt7Bs3bmi/h4SEVKuDCSAlJYWNGzcC8Je//EW7+w3Fd7tNTEywt7fn/PnzACQnJxMSEoKJiQlt27ale/fK1xlp3rw5TZo0ISIigr59+xIUFHTXsocMGYKpqSnPPPMM3bp1Iy0tjebNm5cp19vbm9mzZ3PmzBkGDBiAjY1Ntc5VCCHqO2tra5ycnABwcHAgICAARVFwcnLCaDRy5swZNm/erI0Eys/P10b3BAQE0KJFCwDs7e05efIkHTp0KFfHwoUL2bRpEwCnT5/m6NGjlXYy3SkkJISZM2fy8ccfExsbS1hYWKX7Dh48mBkzZjBy5EjWrl3L4MGDy+2j0+kIDQ2lX79+9OvXr9z795qjhBBCCFE/HbqcUut16GVOVr0lH00tURSl2vv6+vqybds2zMzM6NmzJ8nJySQnJ+Pn58etW7do2bIlmZmZ2r8jR45oxz755JM1EmPjxo2131VVLfOzOho1akRqaioDBw7km2++oU+fPjVS9tChQ9m8eTPm5uYEBgZqI7iEEOJRV/raaGJior02MTGhsLAQVVXZsGGDdu0/deoUnTt3LnesqakphYWF5cpPTEwkISGBlJQUDhw4gIuLC/n5+dWOz8LCgl69ehEfH89XX31V5VpN3t7eHDt2jAsXLvDNN99o08BL27JlC2+++Sb79+/Hzc2twphLu1uOEkIIIYQQ9Y90MtWSU6dOkZJS3IO7Zs0aevbsidFo5NixYwB88cUXdOvWDQA/Pz+io6Px9vamTZs25OTkkJWVhYODA82bN8fa2pr169cDxV+uDxw4cF8xdenShbVr1wKwatUqunbtWuX+Xbt2ZcOGDdy6dYvz58+TmJhY6b65ublcuXKFl19+mejo6DLTNSri5+fHunXrKCoq4sKFCyQlJeHh4UGzZs24evWqtt+JEyfo2LEjkZGRBAcHV7geiBBCNESBgYEsWrRI61QpmVpdFTMzMwoKCgC4cuUKrVq1wsLCgqysLPbu3VvlsXdefwEiIiKIjIzEYDBgaWlZ6bGKotC/f38mTZpE586dy42WunXrFqdPn6Z79+589NFHXL58mdzc3DL73GuOEkIIIYQQ9U+Dny5XV4+S7ty5MytXrmT06NHY2NiwYMECvLy8CAkJobCwEIPBoD11x9PTk/Pnz+Pn5wcUTyl4+umntbu4q1at4o033mDWrFkUFBTw2muv4ezsfM8xLVy4kPDwcD7++GPatGnD559/XuX+AwcOZMeOHTg6OtKpUyc8PT216Rl3unr1Kq+++ir5+fmoqsr8+fOrLLt///6kpKTg7OyMoih89NFHtG3blqeeeopGjRrh7OxMWFgY+fn5fPnll5iZmdG2bVvee++9ez5vIYSoSl3libuZNm0aEyZMQKfToaoqVlZW2npJlRk1ahQ6nQ5XV1diY2OJiYlBp9Nha2uLl5dXlcfqdLoy19+JEyfi5uZG8+bNGTly5F3jHTx4MAaDgbi4uHLvFRUVMWzYMK5cuYKqqkycOJGWLVuW2edec5QQQgghhKh/lEd52Lm7u7uanp5eZtuRI0e06QR1xWg0EhQUxKFDh+o0jpqQm5tL06ZNycnJwcPDg927d9O2bdu6DquM+vCZPyybPhxd63Vcsn+u1usIf0U6Cx8GRVH2q6rqXtdx1KX6miceFWfPnsXf35+srCxMTGTw871oyP/Pju/fV+t1/MnNs9breNxJjihWUZ4QQjyY6D3f1HodepPjtV6Hv9f/1Xod9dn95okGP5JJPJigoCAuX77MzZs3mTZtWr3rYBJCCFE7/vWvf/H3v/+defPmSQeTEEIIIeqVExeu1Xod/rVeQ8MknUy1wMrK6qGPYvr8889ZsGBBmW0+Pj4sWbLkgcqtaB2m/v378+uvv5bZ9uGHHxIYGPhAdYn6odXh/9V+Ja/UfhVCiAczfPhwhg8fXmZbbeUaIYQQQgjRMEgnUwMxcuTIaq2ZURNKHocthBDi8fIwc40QQgghhHj0NMjx74/yOlPi3shnLYQQQgghhBBC1A8NrpOpSZMm5OTkSOfDY0BVVXJycmjSpEldhyKEEEIIIYQQQjz2Gtx0ufbt23PmzBkuXLhQ16GIh6BJkya0b9++rsMQQgghhBBCCCEeew2uk8nMzAxra+u6DkMIIYQQQtyn4/v31Xodf3LzrPU6hBBCiMdNg+tkEkIIIe7Frwcv1mh51rrWNVrevZgzZw7vvvvuXfezsrIiPT2d1q1b06VLF/bs2YPRaGTPnj0MHTr0IUR676ZPn07Tpk15++23iYuLo3fv3rRr1w6AiIgIJk2ahL29fR1HKYQQQgjxeJNOJiGEEKKBqG4nU2l79uwBwGg0snr16nrbyVRaXFwcjo6OWifTZ599VscRVU9Nd2hWpC47OYUQQgghGtzC30IIIUR9ZzQasbOzIyIiAkdHR0JDQ0lISMDHxwcbGxtSU1O5du0a4eHhGAwGXFxciI+PB4o7WAYMGECfPn2wsbFhypQpAEydOpW8vDz0ej2hoaEA9OvXDzc3NxwcHFi2bFmFsTRt2lQ7fteuXej1eubPn4+vry+ZmZnafj4+Phw8eLDCMqZPn85f/vIXevTogY2NDcuXL9fe+/jjjzEYDOh0Ot5//33t/Dt37szrr7+Og4MDvXv3Ji8vD4Dly5djMBhwdnZm4MCBXL9+vUxdX3/9Nenp6YSGhqLX68nLy8Pf35/09HQAtm/fjre3N66uroSEhJCbm6udn729PTqdjrfffvsePi0hhBBCCFFd0skkhBBC1IFjx44xfvx4Dh48SFZWFqtXryY5OZmoqCjmzJnD7Nmz6dGjB2lpaezcuZPJkydz7do1ADIzM1m3bh0//fQT69at4/Tp08ydOxdzc3MyMzNZtWoVALGxsezfv5/09HQWLlxITk5OpfHMnTtX61iaOHEiERERxMXFAZCdnc2NGzfQ6XSVHn/w4EG2bNlCSkoKM2bM4OzZs2zfvp2jR4+SmppKZmYm+/fvJykpCYCjR4/y5ptv8vPPP9OyZUs2bNgAwIABA0hLS+PAgQN07tyZFStWlKln0KBBuLu7s2rVKjIzMzE3N9feu3jxIrNmzSIhIYEff/wRd3d35s2bx++//86mTZv4+eefOXjwIP/4xz/u/QMTQgghhBB3JdPlhBBC1ClFUUyBdOB/qqoGKYpiCawDrAAj8GdVVS/d3vdvwF+BIiBSVdX/1EnQNcDa2honJycAHBwcCAgIQFEUnJycMBqNnDlzhs2bNxMVFQVAfn4+p06dAiAgIIAWLVoAYG9vz8mTJ+nQoUO5OhYuXMimTZsAOH36NEePHuWpp56qVnwhISHMnDmTjz/+mNjYWMLCwqrc/9VXX8Xc3Bxzc3O6d+9OamoqycnJbN++HRcXFwByc3M5evQozz//PNbW1uj1egDc3NwwGo0AHDp0iH/84x9cvnyZ3NxcAgMDqxUvwN69ezl8+DA+Pj4A3Lx5E29vb5o3b06TJk2IiIigb9++BAUFVbtMUd7hHXtrvQ77AK9ar0MIIYQQNU86mYQQQtS18cARoPnt11OBHaqqzlUUZert1+8oimIPvAY4AO2ABEVROqmqWlQXQT+oxo0ba7+bmJhor01MTCgsLMTU1JQNGzZga2tb5rh9+/aVOdbU1JTCwsJy5ScmJpKQkEBKSgoWFhb4+/uTn59f7fgsLCzo1asX8fHxfPXVV9p0tMooilLutaqq/O1vf2P06NFl3jMajeXOoWS6XFhYGN988w3Ozs7ExcWRmJhY7ZhVVaVXr16sWbOm3Hupqans2LGDtWvXsnjxYr7//vtqlyuEEEIIIapHpssJIYSoM4qitAf6AqVXbn4VWHn795VAv1Lb16qqekNV1V+BY4DHw4r1YQsMDGTRokWoqgpARkbGXY8xMzOjoKAAgCtXrtCqVSssLCzIyspi796qR580a9aMq1evltkWERFBZGQkBoMBS0vLKo+Pj48nPz+fnJwcEhMTMRgMBAYGEhsbq62L9L///Y/ffvutynKuXr3Ks88+S0FBgTbtrzqxAnh5ebF7926OHTsGwPXr18nOziY3N5crV67w8ssvEx0dXWatKSGEEEIIUXNkJJMQQoi6FA1MAZqV2vaMqqrnAFRVPacoytO3tz8HlO4pOXN72wOpr0/jmjZtGhMmTECn06GqKlZWVnz33XdVHjNq1Ch0Oh2urq7ExsYSExODTqfD1tYWL6+qpx/pdDoaNWqEs7MzYWFhTJw4ETc3N5o3b87IkSPvGq+Hhwd9+/bl1KlTTJs2jXbt2tGuXTuOHDmCt7c3ULzI+JdffompqWml5cycORNPT09eeOEFnJycKuxMCgsLY8yYMZibm5OSkqJtb9OmDXFxcQwZMoQbN24AMGvWLJo1a8arr75Kfn4+qqoyf/78u56PEEIIIYS4d0rJHdJHkbu7u3q34ftCNCSbPhx9950eAa2GDqn1Ovw7+Nd6HfWdoij7VVV1r+s4KqMoShDwsqqqYxVF8Qfevr0m02VVVVuW2u+SqqqtFEVZAqSoqvrl7e0rgK2qqm64o9xRwCiA559/3u3kyZP/f3v3HmdVeR56/PeABCVKAmosXigmB0kQ8QaaBo0T8UJiImqOqdXEezmfczhNzEka0KTRnHww5CQ1mmrjoS1e2qohNSpN47GgEmO9EFADClqJICIWgYAiQQL6nD/2hg7MhWFm1qzZs3/fz4fP7PXOWut99jsDD/tZ73rXDv0uXryYj3zkI4W+t55i5cqVNDQ08Pzzz9OrV8uTn6+55hr23ntvn9rWSHO/Z0sXrCm8364omv7z/7mh8D66Yk2mDx17fOF9dGfdPUd0FT9PSJ3v+sfuLbyP/mubf+JtZ7r0M98svI/urL15wtvlJEllGQOcGRHLgLuAkyPiH4BVETEIoPp12/1VK4DGq1sfDKzc+aSZOS0zR2XmqP3337/I+Hu022+/neOPP54pU6a0WmCSJEmStvF2OUlSKTLzSuBKgEYzmT4fEd8DLgKmVr/eVz1kJnBHRFxHZeHvocDcro67Xlx44YVceOGFO7Tdcsst3HDDjrNYxowZw0033dSVoUmSJKmbssgkSepupgIzIuIyYDlwLkBmPhcRM4BFwFZgYq0+Wa5WXXLJJW1an0k92+tvryi8j+GF9yBJkopgkUmSVLrMnAPMqb5eC4xtYb8pwJQuC0ySJEm7pSvWS1L3ZZFJkiSph/jN/CfLDkGSJNUxV/KUJEmSJElSh1lkkiRJkiRJUod5u5wkqa519u1FHzr2+E493+649tprueqqq3a535AhQ5g3bx777bcfH/vYx3jsscdYtmwZjz32GOeff34XRKpa1nfTqrJDkCRJ3ZRFJqmTbHjo4bJDkFTn2lpkauyxxx4DYNmyZdxxxx11WWTaunUre+zhf4kkSZI6ytvlJEnqYsuWLePDH/4wl19+OSNGjOCCCy5g9uzZjBkzhqFDhzJ37lw2btzIpZdeyujRozn66KO57777ALj11ls555xzGDeEe9SMAAAgAElEQVRuHEOHDuVrX/saAJMnT2bTpk0cddRRXHDBBQCcddZZHHvssRx++OFMmzat2Vj23nvv7cf/8pe/5KijjuIHP/gBJ554Is8888z2/caMGcOCBc0/Leatt97ikksu4YgjjmDkyJHcfffdANx5550cccQRjBgxgkmTJu3Q56RJkzj22GM55ZRTmDt3Lg0NDXzwgx9k5syZ29/n+PHjGTduHMOGDeNb3/rW9uOvu+46RowYwYgRI7j++usB2LhxI2eccQZHHnkkI0aM4Mc//jFQmbW1Zs0aAObNm0dDQwMA11xzDRMmTOC0007jwgsvZPXq1Xz2s59l9OjRjB49mn/7t39r64+zW9n064WF/5G6SkTsGRFzI+LXEfFcRHyr2j4wImZFxIvVrwMaHXNlRCyJiBci4vTyopek+uRlO0mSSrBkyRJ+8pOfMG3aNEaPHs0dd9zBo48+ysyZM7n22msZPnw4J598MtOnT2f9+vUcd9xxnHLKKQA888wzPP300/Tt25dhw4bxZ3/2Z0ydOpUbb7xxh8LQ9OnTGThwIJs2bWL06NF89rOfZd999202nqlTp/L973+fn/3sZwAMHDiQW2+9leuvv55///d/Z/PmzYwcObLZY7/97W/zvve9j4ULKwWIdevWsXLlSiZNmsT8+fMZMGAAp512Gvfeey9nnXUWGzdupKGhge9+97ucffbZfOMb32DWrFksWrSIiy66iDPPPBOAuXPn8uyzz9KvXz9Gjx7NGWecQURwyy238OSTT5KZHH/88Zx00km89NJLHHjggfzLv/wLAG+88cYufwbz58/n0UcfZa+99uL888/ny1/+MieccALLly/n9NNPZ/HixW38aXYfy95cVnYIUmfaDJycmW9FRB/g0Yi4HzgHeDAzp0bEZGAyMCkihgPnAYcDBwKzI+KwzHynrDcgSfXGIpOkrvfq/OL7OKSh+D6kDjj00EM54ogjADj88MMZO3YsEcERRxzBsmXLWLFiBTNnzuT73/8+AG+//TbLly8HYOzYsbzvfe8DYPjw4bz88ssccsghTfr44Q9/yD333APAK6+8wosvvthikWln5557Lt/+9rf53ve+x/Tp07n44otb3Hf27Nncdddd27cHDBjAI488QkNDA/vvvz8AF1xwAY888ghnnXUW73nPexg3bhwARxxxBH379qVPnz7b3/s2p5566vZ4zznnHB599FEigrPPPpv3vve929t/+ctfMm7cOL761a8yadIkPv3pT3PiiSfu8j2eeeaZ7LXXXtvfw6JFi7Z/780332TDhg3ss88+bRovSZ0vMxN4q7rZp/ongfFAQ7X9NmAOMKnafldmbgaWRsQS4Djg8a6LWpLqm0UmSZJK0Ldv3+2ve/XqtX27V69ebN26ld69e3P33XczbNiwHY578skndzi2d+/ebN26tcn558yZw+zZs3n88cfp168fDQ0NvP32222Or1+/fpx66qncd999zJgxg3nz5rW4b2YSEU3aWtKnT5/t+zf33rfZ+ZwR0eJ5DzvsMObPn8/Pf/5zrrzySk477TS++c1vsscee/Duu+8CNHn/2wpVAO+++y6PP/749qKTpO4hInoD84H/AtyUmU9GxAGZ+RpAZr4WER+o7n4Q8ESjw1dU2yRJXaSwNZm8h1pSS15avbHwP1KtO/300/mrv/qr7UWVp59+epfH9OnThy1btgCV28UGDBhAv379eP7553niiSdaPXafffZhw4YNO7RdfvnlfPGLX2T06NEMHDiwxWNPO+00brzxxu3b69at4/jjj+cXv/gFa9as4Z133uHOO+/kpJNO2uV7aGzWrFn89re/ZdOmTdx7772MGTOGj3/849x777387ne/Y+PGjdxzzz2ceOKJrFy5kn79+vH5z3+er371qzz11FNAZU2m+fMrsye3rRXVlvfQ+LZDSeXJzHcy8yjgYOC4iBjRyu7RTFuTynRETIiIeRExb/Xq1Z0VqiSJYmcyeQ+1JKnb+9Cxx5cdQrP+4i/+giuuuIKRI0eSmQwZMmT7ekktmTBhAiNHjuSYY45h+vTp3HzzzYwcOZJhw4bx0Y9+tNVjR44cyR577MGRRx7JxRdfzJe//GWOPfZY+vfvzyWXXNLqsd/4xjeYOHEiI0aMoHfv3lx99dWcc845fOc73+ETn/gEmcmnPvUpxo8fv1tjcMIJJ/CFL3yBJUuWcP755zNq1CgALr74Yo477jigUgg7+uijeeCBB/jzP/9zevXqRZ8+ffjRj34EwNVXX81ll13Gtddey/HHt/yz/uEPf8jEiRMZOXIkW7du5eMf/zg333zzbsUrqTiZuT4i5gDjgFURMag6i2kQ8Hp1txVA43uHDwZWNnOuacA0gFGjRrU87VKStNuitensndZJRD/gUeC/A7cDDY2SwpzMHBYRVwJk5neqxzwAXJOZLd5DPWrUqGxt+r7UlTY89HDhfcz+1V273qkGrBte/Mz1Sz/zzcL76O4iYn5mjio7jjI1lycWL17MRz7ykZIiqi0rV66koaGB559/nl69uvaBtLfeeivz5s3bYXZRLWnu92zpgjWF9/vcQ9cX3sf6VcsL7+OP/uvEwvvorgXmrlILOSIi9ge2VAtMewH/CnwXOAlY2+ii9cDM/FpEHA7cQWUdpgOBB4GhrV209vOE1Pmm//P/LjuETlHvnyfamycKXZPJe6glSapNt99+O1//+te57rrrurzAJL30zCOF91HvRaYaMQi4rfqZohcwIzN/FhGPAzMi4jJgOXAuQGY+FxEzgEXAVmCid0VIUtdqU5EpIkZk5rO7e/LqP+pHRcT7gXs66x5qYALA4MGDdzckSVIB2psn1H1deOGFXHjhhTu03XLLLdxwww07tI0ZM4abbrqp0/u/+OKLW32inaTa0p48kZkLgKObaV8LjG3hmCnAlHYFKUnqsLbOZLo5It4D3ArckZnrd6cT76FWPVi4ZmHZIUhl6lCeUG245JJLdrk+kyS1wDwhSXWgTfPfM/ME4AIqRaB5EXFHRJza2jERsX91BhPVe6hPAZ4HZgIXVXe7CLiv+nomcF5E9I2IQ4GhwNzdfD+SpBK0J0+UqSvWI1T98vdLaqrW8oQkqX3avCZTZr4YEd8A5gE/BI6OiACuysyfNnOI91BLUh1pR54oxZ577snatWvZd999qYQndZ7MZO3atey5555lhyJ1O7WSJyRJ7dfWNZlGApcAZwCzgM9k5lMRcSDwONAkKXgPtSTVj/bkibIcfPDBrFixgtWrV5cdirqRrb/vvOtavejDnry/S54mJ9WKWsoTkqT2a+tMphuBv6FylWHTtsbMXFm9GiFp7ZKyI5DKVDN5ok+fPhx66KFlh6FuxoKQVLiayROSpPZra5HpU8CmbbevRUQvYM/M/F1m/n1h0Uk1ZNWbm8sOQSqTeUKS1BrzhCTVgTYt/A3MBvZqtN2v2iZJEpgnJEmtM09IUh1o60ymPTPzrW0bmflWRPQrKCZJUu0xT0i7sGnBgrJDkMpknpCkOtDWmUwbI+KYbRsRcSywqZX9JUn1xTwhSWqNeUKS6kBbZzJdAfwkIlZWtwcBf1xMSJKkGmSekCS1xjwhSXWgTUWmzPxVRHwYGAYE8Hxmbik0MklSzTBPSJJaY56QpPrQ1plMAKOBIdVjjo4IMvP2QqKSJNUi84QkqTXmCUnq4dpUZIqIvwc+BDwDvFNtTsCkIEkyT0iSWmWekKT60NaZTKOA4ZmZRQYjSapZ5glJUmvME5JUB9r6dLlngT8oMhBJUk0zT0iSWmOekKQ60NaZTPsBiyJiLrB5W2NmnllIVJKkWmOekCS1xjwhSXWgrUWma4oMQpJU864pOwBJUrd2TdkBSJKK16YiU2b+IiL+EBiambMjoh/Qu9jQJEm1wjwhSWqNeULqHmYvWlV2COrh2vp0uT8FJgADqTwV4iDgZmBscaFJkmqFeULqHn735l5lhyA1yzwhSfWhrQt/TwTGAG8CZOaLwAeKCkqSVHN2O09ExJ4RMTcifh0Rz0XEt6rtAyNiVkS8WP06oNExV0bEkoh4ISJOL/D9SJI6l58nJKkOtHVNps2Z+fuIACAi9gB8/KgkaZv25InNwMmZ+VZE9AEejYj7gXOABzNzakRMBiYDkyJiOHAecDhwIDA7Ig7LzHcKek9SzVm/aUvhffQrvAf1UH6ekKQ60NYi0y8i4ipgr4g4FfgfwD8XF5Ykqcbsdp7IzATeqm72qf5JYDzQUG2/DZgDTKq235WZm4GlEbEEOA54vFPfiVSQl998uewQpDL5eUKS6kBbb5ebDKwGFgL/Dfg58I2igpIk1Zx25YmI6B0RzwCvA7My80nggMx8DaD6ddvtFAcBrzQ6fEW1TZLU/fl5QpLqQFufLvcu8DfVP5Ik7aC9eaJ6q9tREfF+4J6IGNHK7tHcKZrsFDGByuKyDB48eHfCkSQVxM8TklQf2vp0uaU08x/5zPxgp0ckSao5Hc0Tmbk+IuYA44BVETEoM1+LiEFUZjlBZebSIY0OOxhY2cy5pgHTAEaNGuV6H5LUDfh5QpLqQ1vXZBrV6PWewLlUHj8qSRK0I09ExP7AlmqBaS/gFOC7wEzgImBq9et91UNmAndExHVUFv4eCsztzDchqXvo9fKrZYegzufnCUmqA229XW7tTk3XR8SjwDc7PyRJUq1pZ54YBNwWEb2prBE4IzN/FhGPAzMi4jJgOZUPImTmcxExA1gEbAUm+mQ51ZINa5pMvJPqhp8nJKk+tPV2uWMabfaiciVin0IikiTVnPbkicxcABzdTPtaYGwLx0wBprQ/UklSGfw8IUn1oa23y/1lo9dbgWXA5zo9GklSrTJPSJJaY56QpDrQ1tvlPlF0IJKk2mWekCS1xjwhSfWhrbfL/a/Wvp+Z13VOOJKkWmSekHZt/aYtZYdQM17b8tuyQ1AnM09IUn3YnafLjabyZB+AzwCPAK8UEZQkqeaYJyRJrTFPSFIdaGuRaT/gmMzcABAR1wA/yczLiwpMklRTzBOSpNaYJySpDvRq436Dgd832v49MKTTo5Ek1SrzhCSpNeYJSaoDbZ3J9PfA3Ii4B0jgbOD2wqKSJNUa84QKtXTBmrJDkNQx5glJqgNtfbrclIi4Hzix2nRJZj5dXFiSpFpinpAktcY8IUn1oa23ywH0A97MzBuAFRFxaEExSZJqk3lCktQa84Qk9XBtKjJFxNXAJODKalMf4B+KCkqSVFvME5Kk1pgnJKk+tHUm09nAmcBGgMxcCexTVFCSpJpjnpAktcY8IUl1oK1Fpt9nZlJZpI+IeG9xIUmSapB5QpLUGvOEJNWBtj5dbkZE/F/g/RHxp8ClwN8UF5YkqcaYJyRJrTFPSN3As+sfL7yP/oX3oO5sl0WmiAjgx8CHgTeBYcA3M3NWwbFJkmqAeUKS1BrzhCTVj10WmTIzI+LezDwWMBFIknZgnpAktaa9eSIiDgFuB/4AeBeYlpk3RMRAKkWrIcAy4HOZua56zJXAZcA7wBcz84HOfC+SpNa19Xa5JyJidGb+qtBoJEm1yjwh1Yktm/ctvI8+fdcW3oe6XHvyxFbgK5n5VETsA8yPiFnAxcCDmTk1IiYDk4FJETEcOA84HDgQmB0Rh2XmO537ViRJLWnrwt+foJIYfhMRCyJiYUQsaO2AiDgkIh6OiMUR8VxEfKnaPjAiZkXEi9WvAxodc2VELImIFyLi9Pa/LUlSF9vtPCFJqiu7nScy87XMfKr6egOwGDgIGA/cVt3tNuCs6uvxwF2ZuTkzlwJLgOMKeC+SpBa0OpMpIgZn5nLgk+04t1ceJKmH62CekCT1cJ2VJyJiCHA08CRwQGa+BpVCVER8oLrbQcATjQ5bUW2TJHWRXd0udy9wTGa+HBF3Z+Zn23ri6j/82/7x3xARja88NFR3uw2YA0yi0ZUHYGlEbLvyUPzy95Kk9mp3npAk1YUO54mI2Bu4G7giM9+srCPe/K7NtGUz55sATAAYPHjw7oYj1bT+a51ormLtqsjU+B/qD7a3E688SGpswKJXi+/kM8V3IaCT8oQkqcfqUJ6IiD5UCkz/mJk/rTaviohB1c8Sg4DXq+0rgEMaHX4wsHLnc2bmNGAawKhRo5oUoSRJ7berIlO28LrNvPIgST1ah/OEpM7TZ/MbZYcg7azdeSIqHxz+Dlicmdc1+tZM4CJgavXrfY3a74iI66gsvzEUmNvOuCVJ7bCrItOREfEmlQLQXtXXVLczM/u3drBXHiSpx+tQnpAk9XgdyRNjgC8ACyPimWrbVVSKSzMi4jJgOXAulZM9FxEzgEVU1oed6PquktS1Wi0yZWbv9p7YKw+S1PN1JE9Iknq+juSJzHyU5u92ABjbwjFTgCnt7VOS1DG7msnUEV55kCRJkiRJqhOFFZm88iBJkiRJklQ/epUdgCRJkiRJkmpfkbfLSZIkSZIk1Z4X7i++j2GfLL6PLuZMJkmSJEmSJHWYRSZJkiRJkiR1mEUmSZIkSZIkdZhrMkmSJEmSVLLZi1aVHYLUYc5kkiRJkiRJUodZZJIklSIiDomIhyNicUQ8FxFfqrYPjIhZEfFi9euARsdcGRFLIuKFiDi9vOglSZIk7czb5VQ3Njz0cNkhSNrRVuArmflUROwDzI+IWcDFwIOZOTUiJgOTgUkRMRw4DzgcOBCYHRGHZeY7JcUvSZIkqRFnMkmSSpGZr2XmU9XXG4DFwEHAeOC26m63AWdVX48H7srMzZm5FFgCHNe1UUuSJElqiTOZJPVML9xffB/DPll8H3UiIoYARwNPAgdk5mtQKURFxAequx0EPNHosBXVNkmSeqQ5r8wpvI+GQxoK70NS/bDIJEkqVUTsDdwNXJGZb0ZEi7s205bNnG8CMAFg8ODBnRWmpB6mK57idMrwAwrvQ5Kk7sQikySpNBHRh0qB6R8z86fV5lURMag6i2kQ8Hq1fQVwSKPDDwZW7nzOzJwGTAMYNWpUkyKUJEn6T3Oe+MvC+2j46FcK70NS9+CaTJKkUkRlytLfAYsz87pG35oJXFR9fRFwX6P28yKib0QcCgwF5nZVvJIkSZJa50wmSVJZxgBfABZGxDPVtquAqcCMiLgMWA6cC5CZz0XEDGARlSfTTfTJcpIkSVL3YZFJklSKzHyU5tdZAhjbwjFTgCmFBaW6tWnBgrJDkCRJqnkWmSRJkiRJakVXPCxA6glck0mSJEmSJEkd5kwmSZIkSVJxXri/2PMP+2Sx55fUZhaZ1C1seOjhskOQJEmSJEkdYJFJUo80Z92iwvtowKtmktquz+Y3yg5Bkpp4afXGwvtoGFB4F5K6CddkkiRJkiRJUodZZJIkSZIkSVKHWWSSJEmSJElSh7kmkyRJkiSpZs1etKrsECRVWWSSJEmSJBXmmVfWF9vBgcWeXlLbWWRS3Vi4ZmHZIagLdcmTUgrvQZIkSfXi2fWPF95H/8J7UL2zyCRJUk/2wv3F9zHsk8X3IUmSpG7PIpMkSWXpigKQ2uTlN18uOwRJ6rGe2vRioecfzMmFnl9S21lkUt1YuqbY26f6FXp2SZIkSZK6t15lByBJkiRJkqTa50wmSZIkSZJK1n/tgrJDkDrMIpMkSZIkSVIjc9YtKryPBnrew1O8XU6SJEmSJEkd5kwm7dKGhx4uO4RO0W/DsrJDkCS106+Xry/0/H0LPbskSVJ9sMgkSZI6ZOmCNWWHIEk906vzy45AknaLRaYa11NmGUmSJEmSpNrmmkySJEmSJEnqMItMkiRJkiRJ6jBvl5MkSd1e/9/+utDzby707JLaIyKmA58GXs/MEdW2gcCPgSHAMuBzmbmu+r0rgcuAd4AvZuYDJYStEuy38qHC+1hz4MmF9yH1BM5kkiRJktQd3QqM26ltMvBgZg4FHqxuExHDgfOAw6vH/HVE9O66UCVJUOBMJq88SJIkqbt644Vniu9k+OnF99GDZeYjETFkp+bxQEP19W3AHGBStf2uzNwMLI2IJcBxwONdEaskqaLI2+VuBW4Ebm/Utu3Kw9SImFzdnrTTlYcDgdkRcVhmvlNgfJIkqUbEy68Wev5VffoUen5JneaAzHwNIDNfi4gPVNsPAp5otN+KapsktctLqzcW3kdD4T10vcKKTF55kCRJUnts2bxv4X3sVXgP6mLRTFs2u2PEBGACwODBg4uMSZLqTlcv/O2VB0mSJEnttSoiBlU/SwwCXq+2rwAOabTfwcDK5k6QmdOAaQCjRo1qthAl7ezZ9cXPf+hfeA9S8brLwt+7deUhIuZFxLzVq1cXHJYkSZKkbmQmcFH19UXAfY3az4uIvhFxKDAUmFtCfJJU17p6JpNXHiRJkiTtUkTcSWWpjf0iYgVwNTAVmBERlwHLgXMBMvO5iJgBLAK2AhNd37V+PLXpxeI76Tey+D6kHqCri0zbrjxMpemVhzsi4joqC3975UGSpFqxYn7ZEUjqgTLzT1r41tgW9p8CTCkuIknSrhRWZPLKgySpNRExHfg08Hpmjqi2DQR+DAwBlgGfy8x11e9dCVwGvAN8MTMfKCHsmjNn3aLC+/hDRhTeR9F+/8aqwvvw+XWSJKmnK/Lpcl55kCS15lbgRuD2Rm2TgQczc2pETK5uT4qI4cB5wOFUZrzOjojDvCAhSZIkdR9dfbucJEkAZOYjETFkp+bxVGbBAtwGzAEmVdvvyszNwNKIWAIcBxT/qBdJPdLyjc93QS+nd0EfkiR1HxaZJEndyQGZ+RpA9SERH6i2HwQ80Wi/FdU2SZKkwvVfu6DsEKSa0KvsACRJaoNopq3ZJ4xGxISImBcR81avXl1wWJIkSZK2cSaTJKk7WRURg6qzmAYBr1fbVwCHNNrvYGBlcyfIzGnANIBRo0Y1W4iSdtZn8xtlhyBJklTzLDJJkrqTmcBFVJ5GehFwX6P2OyLiOioLfw8F5pYSoUrxH1vXlR2CJEmSdsEikySpFBFxJ5VFvveLiBXA1VSKSzMi4jJgOXAuQGY+FxEzgEXAVmCiT5aTJJVpzitzCu/jpdUbC+9DkjqTRSZJUiky809a+NbYFvafAkwpLiJJkiRJHWGRSZIkSXWn/0sryg5BkqQexyKTJEnqkE0vLi87BEmSJHUDFpkkSVKHvLxpddkhSLut76ZVZYcgSVKPY5FJ3cLCNQvLDkGSJEmSJHWARaYCbXjo4bJDqBlL1xT/5Ix+hfcgSfVp/aYtZYcgSZKkbqBX2QFIkiRJkiSp9llkkiRJkiRJUodZZJIkSZIkSVKHuSaTJLXXC/cX38ewTxbfhyRJkiR1AmcySZIkSZIkqcMsMkmSJEmSJKnDLDJJkiRJkiSpwywySZIkSZIkqcMsMkmSJEmSJKnDfLqcJLXTnHWLCu+jAZ8uV5queHqgJEmS1INYZJLUIw1Y9GrxnZx0WPF9SJIkSVKNsMgkSe300uqNhffRUHgPkiRJktQ5LDJpl379yvrC++i3YVnhfUiSJEmSpOJYZNIuvbzx+cL76Fd4D5IkSZIkqUgWmSRJ6sE2vNK/C3p5q/Ae3t5Q/KxaSZIkdYxFJkmSStIVTyiErigySVIdenV+2RFIUrdjkUmSpB5sj9+sLjsEqVvasnnfskOQJKnHscikXXJRbkmSJEmStCu9yg5AkiRJkiRJtc+ZTJIk9WDrN20pOwRJkiTVCWcySZIkSZIkqcOcySRJkiQVYPaiVYX3ccrwAwrvQ5KktrLIJEmSJEm76aXVG8sOQVKNe2b2nYWe/6hT/qTQ8zfHIlONW7hmYdkhSJIkSZIk1W+RacNDD5cdgiRJkiRJUo9Rt0UmSZIkqUgLn7qr8D5OGf6lwvuQJKmtfLqcJEmSJEmSOsyZTDVu1dLnyg5BktROG17p3wW9vNUFfUiSJGl3PbXpxULPf1ShZ29etysyRcQ44AagN/C3mTm15JAkSd1ET8sRe/xmddkhSCrQ+59aVnwnny++i1rS0/KEJNWablVkiojewE3AqcAK4FcRMTMzF5UbmSQ1NWDRq8V38pniu6gV5ghJUmvME5JUvm5VZAKOA5Zk5ksAEXEXMB4wMUiSujRHzFln6pGkGuNnCUkqWXcrMh0EvNJoewVwfEmxSJK6ly7NEZvmbC7q1Nut37Sl8D66wtsb1pcdgiSBnyUkqXTdrcgUzbTlDjtETAAmVDffiogXCo+q8+0HrCk7iG7IcWnKMWle/YzL5Glt3bO5MfnDzg2mdLvMEdBj8sTO6ud3vu0ck+Y5Lk316DG59AfXt+ew/eh5OQLqO09AD/9d7yDHpmWOTctqfmwu4+qOHN6uPNHdikwrgEMabR8MrGy8Q2ZOA9r8qas7ioh5mTmq7Di6G8elKcekeY5LU3UyJrvMEdAz8sTO6uTnu1sck+Y5Lk05Jk1Vx2RI2XEUoG7zBPi73hrHpmWOTcscm/bpVXYAO/kVMDQiDo2I9wDnATNLjkmS1D2YIyRJrTFPSFLJutVMpszcGhH/E3iAymNHp2fmcyWHJUnqBswRkqTWmCckqXzdqsgEkJk/B35edhwF63HTczuJ49KUY9I8x6WpuhiTOskRzamLn+9uckya57g05Zg01WPHpI7zBPTgn2sncGxa5ti0zLFph8hsshaeJEmSJEmStFu625pMkiRJkiRJqkEWmQoWEYdExMMRsTginouIL1XbB0bErIh4sfp1QNmxdrWI6B0RT0fEz6rbjknE+yPinyLi+ervzB/V+7hExJerf3eejYg7I2LPehyTiJgeEa9HxLON2loch4i4MiKWRMQLEXF6OVFrd5kzWmbOaMqc0ZQ5o8Kc0bOZK3bNnNE880bLzB+dxyJT8bYCX8nMjwAfBSZGxHBgMvBgZg4FHqxu15svAYsbbTsmcAPw/zLzw8CRVManbsclIg4CvgiMyswRVBbxPI/6HJNbgXE7tTU7DtV/Y84DDq8e89cR0bvrQlUHmPJUDPwAAANcSURBVDNaZs5oypzRiDljB7dizujJzBW7Zs5onnmjGeaPzmWRqWCZ+VpmPlV9vYHKX+SDgPHAbdXdbgPOKifCckTEwcAZwN82aq73MekPfBz4O4DM/H1mrqfOx4XKAwr2iog9gH7ASupwTDLzEeC3OzW3NA7jgbsyc3NmLgWWAMd1SaDqEHNG88wZTZkzWmTOwJzR05krWmfOaJ55Y5fMH53EIlMXioghwNHAk8ABmfkaVBIF8IHyIivF9cDXgHcbtdX7mHwQWA3cUp3e+7cR8V7qeFwy81Xg+8By4DXgjcz8V+p4THbS0jgcBLzSaL8V1TbVEHPGDswZTZkzdmLO2CVzRg9krmiWOaN55o0WmD86l0WmLhIRewN3A1dk5ptlx1OmiPg08Hpmzi87lm5mD+AY4EeZeTSwkTqfklm973k8cChwIPDeiPh8uVHVhGimzUeJ1hBzxn8yZ7TInLETc0a7mTNqlLmiKXNGq8wbLTB/dC6LTF0gIvpQSQD/mJk/rTaviohB1e8PAl4vK74SjAHOjIhlwF3AyRHxD9T3mEDlyuGKzHyyuv1PVBJBPY/LKcDSzFydmVuAnwIfo77HpLGWxmEFcEij/Q6mMuVXNcCc0YQ5o3nmjKbMGa0zZ/Qg5ooWmTNaZt5omfmjE1lkKlhEBJX7Xhdn5nWNvjUTuKj6+iLgvq6OrSyZeWVmHpyZQ6gsqPZQZn6eOh4TgMz8D+CViBhWbRoLLKK+x2U58NGI6Ff9uzSWyroD9TwmjbU0DjOB8yKib0QcCgwF5pYQn3aTOaMpc0bzzBnNMme0zpzRQ5grWmbOaJl5o1Xmj04Umc6GLVJEnAD8EljIf94XfBWV+6ZnAIOp/FKfm5k7L9DY40VEA/DVzPx0ROxLnY9JRBxFZZHC9wAvAZdQKQbX7bhExLeAP6byJJWngcuBvamzMYmIO4EGYD9gFXA1cC8tjENEfB24lMq4XZGZ95cQtnaTOaN15owdmTOaMmdUmDN6NnNF25gzmjJvtMz80XksMkmSJEmSJKnDvF1OkiRJkiRJHWaRSZIkSZIkSR1mkUmSJEmSJEkdZpFJkiRJkiRJHWaRSZIkSZIkSR1mkUmSJEmSJEkdZpFJkiRJkiRJHWaRSZIkSZIkSR32/wENnWty7VcijAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.pyplot import figure\n",
    "\n",
    "fig, axes = plt.subplots(2, 3, figsize=(20, 10))\n",
    "\n",
    "soccer_data.loc[:, ['attacking_crossing', 'attacking_finishing', \n",
    "                 'attacking_heading_accuracy', 'attacking_short_passing',\n",
    "                 'attacking_volleys']].plot.hist(bins=12, alpha=0.3, ax=axes[0,0])\n",
    "\n",
    "soccer_data.loc[:, ['skill_fk_accuracy', 'skill_long_passing', \n",
    "                 'skill_ball_control']].plot.hist(bins=12, alpha=0.3, ax=axes[0,1])\n",
    "\n",
    "soccer_data.loc[:, ['movement_acceleration', 'movement_sprint_speed', \n",
    "                 'movement_agility', 'movement_reactions', \n",
    "                 'movement_balance']].plot.hist(bins=12, alpha=0.3, ax=axes[0,2])\n",
    "\n",
    "soccer_data.loc[:, ['power_jumping', 'power_stamina', 'power_strength',\n",
    "                 'power_long_shots']].plot.hist(bins=12, alpha=0.3, ax=axes[1,0])\n",
    "\n",
    "soccer_data.loc[:, ['mentality_aggression', 'mentality_interceptions',\n",
    "                 'mentality_positioning', 'mentality_vision', 'mentality_penalties',\n",
    "                 'mentality_composure']].plot.hist(bins=12, alpha=0.3, ax=axes[1,1])\n",
    "\n",
    "soccer_data.loc[:, ['defending_marking', 'defending_standing_tackle',\n",
    "                 'defending_sliding_tackle']].plot.hist(bins=12, alpha=0.3, ax=axes[1,2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Salary Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 453,
   "metadata": {},
   "outputs": [],
   "source": [
    "soccer_data['log_wage_eur'] = soccer_data['wage_eur'].apply(np.log)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 454,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1524d34b948>"
      ]
     },
     "execution_count": 454,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1,2, figsize=(12, 5))\n",
    "\n",
    "soccer_data.loc[:, 'wage_eur'].plot.hist(bins=12, ax=axes[0], alpha = 0.5)\n",
    "soccer_data.loc[:, 'log_wage_eur'].plot.hist(bins=12, ax=axes[1], alpha = 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 455,
   "metadata": {},
   "outputs": [],
   "source": [
    "soccer_data['t'] = soccer_data['wage_eur'].apply(lambda x: 'more' if x > 25000 else 'less')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 456,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'age', 'height_cm', 'weight_kg', 'wage_eur',\n",
       "       'international_reputation', 'weak_foot', 'skill_moves',\n",
       "       'contract_valid_until', 'attacking_crossing', 'attacking_finishing',\n",
       "       'attacking_heading_accuracy', 'attacking_short_passing',\n",
       "       'attacking_volleys', 'skill_dribbling', 'skill_curve',\n",
       "       'skill_fk_accuracy', 'skill_long_passing', 'skill_ball_control',\n",
       "       'movement_acceleration', 'movement_sprint_speed', 'movement_agility',\n",
       "       'movement_reactions', 'movement_balance', 'power_shot_power',\n",
       "       'power_jumping', 'power_stamina', 'power_strength', 'power_long_shots',\n",
       "       'mentality_aggression', 'mentality_interceptions',\n",
       "       'mentality_positioning', 'mentality_vision', 'mentality_penalties',\n",
       "       'mentality_composure', 'defending_marking', 'defending_standing_tackle',\n",
       "       'defending_sliding_tackle', 'log_wage_eur', 't'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 456,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soccer_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 457,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = ['age', 'height_cm', 'weight_kg','attacking_crossing', 'attacking_finishing', 'attacking_heading_accuracy', \n",
    "           'attacking_short_passing', 'attacking_volleys', 'skill_dribbling', 'skill_curve',\n",
    "           'skill_fk_accuracy', 'skill_long_passing', 'skill_ball_control',\n",
    "           'movement_acceleration', 'movement_sprint_speed', 'movement_agility',\n",
    "           'movement_reactions', 'movement_balance', 'power_shot_power',\n",
    "           'power_jumping', 'power_stamina', 'power_strength', 'power_long_shots',\n",
    "           'mentality_aggression', 'mentality_interceptions',\n",
    "           'mentality_positioning', 'mentality_vision', 'mentality_penalties',\n",
    "           'mentality_composure', 'defending_marking', 'defending_standing_tackle',\n",
    "           'defending_sliding_tackle']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 458,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "x = soccer_data.loc[:, columns].values\n",
    "x = StandardScaler().fit_transform(x) # normalizing the features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 459,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "pca_breast = PCA(n_components=2)\n",
    "principalComponents_breast = pca_breast.fit_transform(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 460,
   "metadata": {},
   "outputs": [],
   "source": [
    "soccer_df = pd.DataFrame(data = principalComponents_breast\n",
    "             , columns = ['principal component 1', 'principal component 2'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 461,
   "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>principal component 1</th>\n",
       "      <th>principal component 2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1963</td>\n",
       "      <td>4.062870</td>\n",
       "      <td>4.382211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1964</td>\n",
       "      <td>3.672098</td>\n",
       "      <td>7.142527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1965</td>\n",
       "      <td>4.341033</td>\n",
       "      <td>3.753522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1966</td>\n",
       "      <td>3.396759</td>\n",
       "      <td>6.486814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1967</td>\n",
       "      <td>6.112884</td>\n",
       "      <td>7.093219</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      principal component 1  principal component 2\n",
       "1963               4.062870               4.382211\n",
       "1964               3.672098               7.142527\n",
       "1965               4.341033               3.753522\n",
       "1966               3.396759               6.486814\n",
       "1967               6.112884               7.093219"
      ]
     },
     "execution_count": 461,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soccer_df.tail()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 462,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1524d7f8448>"
      ]
     },
     "execution_count": 462,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=14)\n",
    "plt.xlabel('Principal Component - 1',fontsize=20)\n",
    "plt.ylabel('Principal Component - 2',fontsize=20)\n",
    "plt.title(\"Principal Component Analysis of Breast Cancer Dataset\",fontsize=20)\n",
    "targets = ['more', 'less']\n",
    "colors = ['r', 'g']\n",
    "for target, color in zip(targets, colors):\n",
    "    indicesToKeep = soccer_data['t'] == target\n",
    "    plt.scatter(soccer_df.loc[indicesToKeep, 'principal component 1'], \n",
    "                soccer_df.loc[indicesToKeep, 'principal component 2'], c = color, s = 50, alpha = 0.5)\n",
    "\n",
    "plt.legend(targets,prop={'size': 15})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Machine Learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 463,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>age</th>\n",
       "      <th>height_cm</th>\n",
       "      <th>weight_kg</th>\n",
       "      <th>wage_eur</th>\n",
       "      <th>international_reputation</th>\n",
       "      <th>weak_foot</th>\n",
       "      <th>skill_moves</th>\n",
       "      <th>contract_valid_until</th>\n",
       "      <th>attacking_crossing</th>\n",
       "      <th>...</th>\n",
       "      <th>mentality_interceptions</th>\n",
       "      <th>mentality_positioning</th>\n",
       "      <th>mentality_vision</th>\n",
       "      <th>mentality_penalties</th>\n",
       "      <th>mentality_composure</th>\n",
       "      <th>defending_marking</th>\n",
       "      <th>defending_standing_tackle</th>\n",
       "      <th>defending_sliding_tackle</th>\n",
       "      <th>log_wage_eur</th>\n",
       "      <th>t</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>88</td>\n",
       "      <td>...</td>\n",
       "      <td>40</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>75</td>\n",
       "      <td>96</td>\n",
       "      <td>33</td>\n",
       "      <td>37</td>\n",
       "      <td>26</td>\n",
       "      <td>13.244581</td>\n",
       "      <td>more</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>34</td>\n",
       "      <td>187</td>\n",
       "      <td>83</td>\n",
       "      <td>405000</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>84</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>95</td>\n",
       "      <td>82</td>\n",
       "      <td>85</td>\n",
       "      <td>95</td>\n",
       "      <td>28</td>\n",
       "      <td>32</td>\n",
       "      <td>24</td>\n",
       "      <td>12.911642</td>\n",
       "      <td>more</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>28</td>\n",
       "      <td>175</td>\n",
       "      <td>74</td>\n",
       "      <td>470000</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2024.0</td>\n",
       "      <td>81</td>\n",
       "      <td>...</td>\n",
       "      <td>41</td>\n",
       "      <td>87</td>\n",
       "      <td>89</td>\n",
       "      <td>88</td>\n",
       "      <td>91</td>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>22</td>\n",
       "      <td>13.060488</td>\n",
       "      <td>more</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>181</td>\n",
       "      <td>70</td>\n",
       "      <td>370000</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>2023.0</td>\n",
       "      <td>93</td>\n",
       "      <td>...</td>\n",
       "      <td>61</td>\n",
       "      <td>88</td>\n",
       "      <td>94</td>\n",
       "      <td>79</td>\n",
       "      <td>91</td>\n",
       "      <td>68</td>\n",
       "      <td>58</td>\n",
       "      <td>51</td>\n",
       "      <td>12.821258</td>\n",
       "      <td>more</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "      <td>193</td>\n",
       "      <td>92</td>\n",
       "      <td>200000</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2023.0</td>\n",
       "      <td>53</td>\n",
       "      <td>...</td>\n",
       "      <td>89</td>\n",
       "      <td>47</td>\n",
       "      <td>65</td>\n",
       "      <td>62</td>\n",
       "      <td>89</td>\n",
       "      <td>91</td>\n",
       "      <td>92</td>\n",
       "      <td>85</td>\n",
       "      <td>12.206073</td>\n",
       "      <td>more</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1963</td>\n",
       "      <td>17585</td>\n",
       "      <td>18</td>\n",
       "      <td>180</td>\n",
       "      <td>70</td>\n",
       "      <td>3000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>42</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>46</td>\n",
       "      <td>55</td>\n",
       "      <td>45</td>\n",
       "      <td>62</td>\n",
       "      <td>36</td>\n",
       "      <td>48</td>\n",
       "      <td>51</td>\n",
       "      <td>8.006368</td>\n",
       "      <td>less</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1964</td>\n",
       "      <td>17645</td>\n",
       "      <td>20</td>\n",
       "      <td>176</td>\n",
       "      <td>68</td>\n",
       "      <td>5000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>46</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>48</td>\n",
       "      <td>47</td>\n",
       "      <td>55</td>\n",
       "      <td>48</td>\n",
       "      <td>20</td>\n",
       "      <td>25</td>\n",
       "      <td>22</td>\n",
       "      <td>8.517193</td>\n",
       "      <td>less</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1965</td>\n",
       "      <td>17852</td>\n",
       "      <td>19</td>\n",
       "      <td>180</td>\n",
       "      <td>70</td>\n",
       "      <td>4000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>43</td>\n",
       "      <td>...</td>\n",
       "      <td>38</td>\n",
       "      <td>55</td>\n",
       "      <td>49</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "      <td>52</td>\n",
       "      <td>8.294050</td>\n",
       "      <td>less</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1966</td>\n",
       "      <td>17934</td>\n",
       "      <td>20</td>\n",
       "      <td>182</td>\n",
       "      <td>77</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>42</td>\n",
       "      <td>...</td>\n",
       "      <td>15</td>\n",
       "      <td>44</td>\n",
       "      <td>50</td>\n",
       "      <td>64</td>\n",
       "      <td>43</td>\n",
       "      <td>24</td>\n",
       "      <td>20</td>\n",
       "      <td>16</td>\n",
       "      <td>7.600902</td>\n",
       "      <td>less</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1967</td>\n",
       "      <td>18023</td>\n",
       "      <td>17</td>\n",
       "      <td>186</td>\n",
       "      <td>77</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>28</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>45</td>\n",
       "      <td>33</td>\n",
       "      <td>59</td>\n",
       "      <td>39</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>6.907755</td>\n",
       "      <td>less</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1968 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      index  age  height_cm  weight_kg  wage_eur  international_reputation  \\\n",
       "0         0   32        170         72    565000                         5   \n",
       "1         1   34        187         83    405000                         5   \n",
       "2         4   28        175         74    470000                         4   \n",
       "3         5   28        181         70    370000                         4   \n",
       "4         7   27        193         92    200000                         3   \n",
       "...     ...  ...        ...        ...       ...                       ...   \n",
       "1963  17585   18        180         70      3000                         1   \n",
       "1964  17645   20        176         68      5000                         1   \n",
       "1965  17852   19        180         70      4000                         1   \n",
       "1966  17934   20        182         77      2000                         1   \n",
       "1967  18023   17        186         77      1000                         1   \n",
       "\n",
       "      weak_foot  skill_moves  contract_valid_until  attacking_crossing  ...  \\\n",
       "0             4            4                2021.0                  88  ...   \n",
       "1             4            5                2022.0                  84  ...   \n",
       "2             4            4                2024.0                  81  ...   \n",
       "3             5            4                2023.0                  93  ...   \n",
       "4             3            2                2023.0                  53  ...   \n",
       "...         ...          ...                   ...                 ...  ...   \n",
       "1963          3            2                2022.0                  42  ...   \n",
       "1964          3            3                2022.0                  46  ...   \n",
       "1965          3            2                2020.0                  43  ...   \n",
       "1966          2            2                2021.0                  42  ...   \n",
       "1967          2            2                2021.0                  28  ...   \n",
       "\n",
       "      mentality_interceptions  mentality_positioning  mentality_vision  \\\n",
       "0                          40                     94                94   \n",
       "1                          29                     95                82   \n",
       "2                          41                     87                89   \n",
       "3                          61                     88                94   \n",
       "4                          89                     47                65   \n",
       "...                       ...                    ...               ...   \n",
       "1963                       29                     46                55   \n",
       "1964                       21                     48                47   \n",
       "1965                       38                     55                49   \n",
       "1966                       15                     44                50   \n",
       "1967                       12                     45                33   \n",
       "\n",
       "      mentality_penalties  mentality_composure  defending_marking  \\\n",
       "0                      75                   96                 33   \n",
       "1                      85                   95                 28   \n",
       "2                      88                   91                 34   \n",
       "3                      79                   91                 68   \n",
       "4                      62                   89                 91   \n",
       "...                   ...                  ...                ...   \n",
       "1963                   45                   62                 36   \n",
       "1964                   55                   48                 20   \n",
       "1965                   46                   46                 44   \n",
       "1966                   64                   43                 24   \n",
       "1967                   59                   39                 13   \n",
       "\n",
       "      defending_standing_tackle  defending_sliding_tackle  log_wage_eur     t  \n",
       "0                            37                        26     13.244581  more  \n",
       "1                            32                        24     12.911642  more  \n",
       "2                            27                        22     13.060488  more  \n",
       "3                            58                        51     12.821258  more  \n",
       "4                            92                        85     12.206073  more  \n",
       "...                         ...                       ...           ...   ...  \n",
       "1963                         48                        51      8.006368  less  \n",
       "1964                         25                        22      8.517193  less  \n",
       "1965                         41                        52      8.294050  less  \n",
       "1966                         20                        16      7.600902  less  \n",
       "1967                         17                        13      6.907755  less  \n",
       "\n",
       "[1968 rows x 40 columns]"
      ]
     },
     "execution_count": 463,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soccer_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 464,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use numpy to convert to arrays\n",
    "import numpy as np\n",
    "# Labels are the values we want to predict\n",
    "labels = np.log(soccer_data['wage_eur'])\n",
    "# Remove the labels from the features\n",
    "# axis 1 refers to the columns\n",
    "soccer_data = soccer_data.drop('wage_eur', axis = 1)\n",
    "soccer_data = soccer_data.drop('log_wage_eur', axis = 1)\n",
    "features = soccer_data.drop('t', axis = 1)\n",
    "\n",
    "# Saving feature names for later use\n",
    "feature_list = list(features.columns)\n",
    "# Convert to numpy array\n",
    "features = np.array(features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 465,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Using Skicit-learn to split data into training and testing sets\n",
    "from sklearn.model_selection import train_test_split\n",
    "# Split the data into training and testing sets\n",
    "train_features, test_features, train_labels, test_labels = train_test_split(features, labels, test_size = 0.2, random_state = 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 466,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the model we are using\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "# Instantiate model with 1000 decision trees\n",
    "rf = RandomForestRegressor(n_estimators = 1000, random_state = 0)\n",
    "# Train the model on training data\n",
    "rf.fit(train_features, train_labels);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 467,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 0.37 degrees.\n"
     ]
    }
   ],
   "source": [
    "# Use the forest's predict method on the test data\n",
    "predictions = rf.predict(test_features)\n",
    "# Calculate the absolute errors\n",
    "errors = abs(predictions - test_labels)\n",
    "# Print out the mean absolute error (mae)\n",
    "print('Mean Absolute Error:', round(np.mean(errors), 2), 'degrees.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 468,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot(predictions, test_labels, 'o', color='black');"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}