Analysis of Players Stats in the English Premier League (2018-2019).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project: Analysis of Players Stats in the Premier League (2018-2019)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table of Contents\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- [Introduction](#intro)\n",
    "- [Download and Load Dataset](#load)\n",
    "- [Data Assessment](#assess)\n",
    "- [Issues to be Addressed](#address)\n",
    "- [Data Cleaning](#clean)\n",
    "- [Exploratory Analysis and Visualization](#explore)\n",
    "- [Inferences and Conclusion](#conclusion)\n",
    "- [Simple Dashboard](#dashboard)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='intro'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Thus far I have reached this milestone in the [Data-Analysis with Python: Zero to Pandas](zerotopandas.com) course. This notebook is the final project required to be completed before earning a certificate of accomplishment. \n",
    ">\n",
    "> The data source. This data used for this project was downloaded from [footystats](footystats.org). This particular data is the free sample data provided by footystats and can be downloaded [here](https://footystats.org/c-dl.php?type=players&comp=1625).\n",
    ">\n",
    "> The data. The dataset contains the basic statistics of football players in the 2018/2019 English Premier League session. Some of these statistics include number of goals and assists, overall minutes played, number of yellow and red cards etc. The objective of this project is to demonstrate the understanding of the data analysis process which include data gathering, exploration, cleaning, visualization etc. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import requests\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='load'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Download and Load Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://footystats.org/c-dl.php?type=players&comp=1625'\n",
    "response = requests.get(url)\n",
    "\n",
    "with open(os.path.join('england-premier-league-players-2018-to-2019-stats.csv'), mode='wb') as file:\n",
    "    file.write(response.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "football_stats_df = pd.read_csv('england-premier-league-players-2018-to-2019-stats.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='assess'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Data Assessment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we access our data both programmatically and virtually for any missing value, duplicates, inconsistent values and so on.   \n",
    "**Note:   \n",
    "Semicolons are added to suppress large output of some cells   \n",
    "Remove semicolon to show output**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>full_name</th>\n",
       "      <th>age</th>\n",
       "      <th>birthday</th>\n",
       "      <th>birthday_GMT</th>\n",
       "      <th>league</th>\n",
       "      <th>season</th>\n",
       "      <th>position</th>\n",
       "      <th>Current Club</th>\n",
       "      <th>minutes_played_overall</th>\n",
       "      <th>minutes_played_home</th>\n",
       "      <th>...</th>\n",
       "      <th>conceded_per_90_overall</th>\n",
       "      <th>min_per_conceded_overall</th>\n",
       "      <th>min_per_match</th>\n",
       "      <th>min_per_card_overall</th>\n",
       "      <th>min_per_assist_overall</th>\n",
       "      <th>cards_per_90_overall</th>\n",
       "      <th>rank_in_league_top_attackers</th>\n",
       "      <th>rank_in_league_top_midfielders</th>\n",
       "      <th>rank_in_league_top_defenders</th>\n",
       "      <th>rank_in_club_top_scorer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aaron Cresswell</td>\n",
       "      <td>32</td>\n",
       "      <td>629683200</td>\n",
       "      <td>1989/12/15</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>Defender</td>\n",
       "      <td>West Ham United</td>\n",
       "      <td>1589</td>\n",
       "      <td>888</td>\n",
       "      <td>...</td>\n",
       "      <td>1.25</td>\n",
       "      <td>72</td>\n",
       "      <td>79</td>\n",
       "      <td>1589</td>\n",
       "      <td>1589</td>\n",
       "      <td>0.06</td>\n",
       "      <td>290</td>\n",
       "      <td>191</td>\n",
       "      <td>80</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aaron Lennon</td>\n",
       "      <td>34</td>\n",
       "      <td>545529600</td>\n",
       "      <td>1987/04/16</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>Burnley</td>\n",
       "      <td>1217</td>\n",
       "      <td>487</td>\n",
       "      <td>...</td>\n",
       "      <td>1.48</td>\n",
       "      <td>61</td>\n",
       "      <td>76</td>\n",
       "      <td>1217</td>\n",
       "      <td>1217</td>\n",
       "      <td>0.07</td>\n",
       "      <td>196</td>\n",
       "      <td>187</td>\n",
       "      <td>-1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Aaron Mooy</td>\n",
       "      <td>31</td>\n",
       "      <td>653356800</td>\n",
       "      <td>1990/09/15</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>Huddersfield Town</td>\n",
       "      <td>2327</td>\n",
       "      <td>1190</td>\n",
       "      <td>...</td>\n",
       "      <td>1.78</td>\n",
       "      <td>51</td>\n",
       "      <td>80</td>\n",
       "      <td>582</td>\n",
       "      <td>2327</td>\n",
       "      <td>0.15</td>\n",
       "      <td>144</td>\n",
       "      <td>233</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aaron Ramsey</td>\n",
       "      <td>31</td>\n",
       "      <td>662169600</td>\n",
       "      <td>1990/12/26</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>1327</td>\n",
       "      <td>689</td>\n",
       "      <td>...</td>\n",
       "      <td>0.81</td>\n",
       "      <td>111</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>221</td>\n",
       "      <td>0.00</td>\n",
       "      <td>69</td>\n",
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       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aaron Rowe</td>\n",
       "      <td>21</td>\n",
       "      <td>968284800</td>\n",
       "      <td>2000/09/07</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>Forward</td>\n",
       "      <td>Huddersfield Town</td>\n",
       "      <td>69</td>\n",
       "      <td>14</td>\n",
       "      <td>...</td>\n",
       "      <td>1.30</td>\n",
       "      <td>69</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "<p>5 rows × 47 columns</p>\n",
       "</div>"
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      "text/plain": [
       "         full_name  age   birthday birthday_GMT          league     season  \\\n",
       "0  Aaron Cresswell   32  629683200   1989/12/15  Premier League  2018/2019   \n",
       "1     Aaron Lennon   34  545529600   1987/04/16  Premier League  2018/2019   \n",
       "2       Aaron Mooy   31  653356800   1990/09/15  Premier League  2018/2019   \n",
       "3     Aaron Ramsey   31  662169600   1990/12/26  Premier League  2018/2019   \n",
       "4       Aaron Rowe   21  968284800   2000/09/07  Premier League  2018/2019   \n",
       "\n",
       "     position       Current Club  minutes_played_overall  minutes_played_home  \\\n",
       "0    Defender    West Ham United                    1589                  888   \n",
       "1  Midfielder            Burnley                    1217                  487   \n",
       "2  Midfielder  Huddersfield Town                    2327                 1190   \n",
       "3  Midfielder            Arsenal                    1327                  689   \n",
       "4     Forward  Huddersfield Town                      69                   14   \n",
       "\n",
       "   ...  conceded_per_90_overall min_per_conceded_overall  min_per_match  \\\n",
       "0  ...                     1.25                       72             79   \n",
       "1  ...                     1.48                       61             76   \n",
       "2  ...                     1.78                       51             80   \n",
       "3  ...                     0.81                      111             47   \n",
       "4  ...                     1.30                       69             35   \n",
       "\n",
       "   min_per_card_overall  min_per_assist_overall  cards_per_90_overall  \\\n",
       "0                  1589                    1589                  0.06   \n",
       "1                  1217                    1217                  0.07   \n",
       "2                   582                    2327                  0.15   \n",
       "3                     0                     221                  0.00   \n",
       "4                     0                       0                  0.00   \n",
       "\n",
       "   rank_in_league_top_attackers  rank_in_league_top_midfielders  \\\n",
       "0                           290                             191   \n",
       "1                           196                             187   \n",
       "2                           144                             233   \n",
       "3                            69                               8   \n",
       "4                            -1                              -1   \n",
       "\n",
       "   rank_in_league_top_defenders  rank_in_club_top_scorer  \n",
       "0                            80                       20  \n",
       "1                            -1                       10  \n",
       "2                            -1                        3  \n",
       "3                            -1                        5  \n",
       "4                            -1                       31  \n",
       "\n",
       "[5 rows x 47 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "football_stats_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "football_stats_df.columns;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 570 entries, 0 to 569\n",
      "Data columns (total 47 columns):\n",
      " #   Column                          Non-Null Count  Dtype  \n",
      "---  ------                          --------------  -----  \n",
      " 0   full_name                       570 non-null    object \n",
      " 1   age                             570 non-null    int64  \n",
      " 2   birthday                        570 non-null    int64  \n",
      " 3   birthday_GMT                    570 non-null    object \n",
      " 4   league                          570 non-null    object \n",
      " 5   season                          570 non-null    object \n",
      " 6   position                        570 non-null    object \n",
      " 7   Current Club                    570 non-null    object \n",
      " 8   minutes_played_overall          570 non-null    int64  \n",
      " 9   minutes_played_home             570 non-null    int64  \n",
      " 10  minutes_played_away             570 non-null    int64  \n",
      " 11  nationality                     570 non-null    object \n",
      " 12  appearances_overall             570 non-null    int64  \n",
      " 13  appearances_home                570 non-null    int64  \n",
      " 14  appearances_away                570 non-null    int64  \n",
      " 15  goals_overall                   570 non-null    int64  \n",
      " 16  goals_home                      570 non-null    int64  \n",
      " 17  goals_away                      570 non-null    int64  \n",
      " 18  assists_overall                 570 non-null    int64  \n",
      " 19  assists_home                    570 non-null    int64  \n",
      " 20  assists_away                    570 non-null    int64  \n",
      " 21  penalty_goals                   570 non-null    int64  \n",
      " 22  penalty_misses                  570 non-null    int64  \n",
      " 23  clean_sheets_overall            570 non-null    int64  \n",
      " 24  clean_sheets_home               570 non-null    int64  \n",
      " 25  clean_sheets_away               570 non-null    int64  \n",
      " 26  conceded_overall                570 non-null    int64  \n",
      " 27  conceded_home                   570 non-null    int64  \n",
      " 28  conceded_away                   570 non-null    int64  \n",
      " 29  yellow_cards_overall            570 non-null    int64  \n",
      " 30  red_cards_overall               570 non-null    int64  \n",
      " 31  goals_involved_per_90_overall   570 non-null    float64\n",
      " 32  assists_per_90_overall          570 non-null    float64\n",
      " 33  goals_per_90_overall            570 non-null    float64\n",
      " 34  goals_per_90_home               570 non-null    float64\n",
      " 35  goals_per_90_away               570 non-null    float64\n",
      " 36  min_per_goal_overall            570 non-null    int64  \n",
      " 37  conceded_per_90_overall         570 non-null    float64\n",
      " 38  min_per_conceded_overall        570 non-null    int64  \n",
      " 39  min_per_match                   570 non-null    int64  \n",
      " 40  min_per_card_overall            570 non-null    int64  \n",
      " 41  min_per_assist_overall          570 non-null    int64  \n",
      " 42  cards_per_90_overall            570 non-null    float64\n",
      " 43  rank_in_league_top_attackers    570 non-null    int64  \n",
      " 44  rank_in_league_top_midfielders  570 non-null    int64  \n",
      " 45  rank_in_league_top_defenders    570 non-null    int64  \n",
      " 46  rank_in_club_top_scorer         570 non-null    int64  \n",
      "dtypes: float64(7), int64(33), object(7)\n",
      "memory usage: 209.4+ KB\n"
     ]
    }
   ],
   "source": [
    "football_stats_df.info();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>birthday</th>\n",
       "      <th>minutes_played_overall</th>\n",
       "      <th>minutes_played_home</th>\n",
       "      <th>minutes_played_away</th>\n",
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       "      <th>count</th>\n",
       "      <td>570.000000</td>\n",
       "      <td>5.700000e+02</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.00000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "      <td>570.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>28.952632</td>\n",
       "      <td>7.123348e+08</td>\n",
       "      <td>1317.577193</td>\n",
       "      <td>658.95614</td>\n",
       "      <td>658.621053</td>\n",
       "      <td>18.380702</td>\n",
       "      <td>9.184211</td>\n",
       "      <td>9.196491</td>\n",
       "      <td>1.824561</td>\n",
       "      <td>1.008772</td>\n",
       "      <td>...</td>\n",
       "      <td>1.210386</td>\n",
       "      <td>63.638596</td>\n",
       "      <td>56.487719</td>\n",
       "      <td>475.163158</td>\n",
       "      <td>464.422807</td>\n",
       "      <td>0.140263</td>\n",
       "      <td>154.103509</td>\n",
       "      <td>154.103509</td>\n",
       "      <td>26.324561</td>\n",
       "      <td>11.277193</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.359851</td>\n",
       "      <td>1.380632e+08</td>\n",
       "      <td>1096.272614</td>\n",
       "      <td>557.48134</td>\n",
       "      <td>549.122038</td>\n",
       "      <td>12.863375</td>\n",
       "      <td>6.525286</td>\n",
       "      <td>6.491307</td>\n",
       "      <td>3.478899</td>\n",
       "      <td>2.151942</td>\n",
       "      <td>...</td>\n",
       "      <td>0.952720</td>\n",
       "      <td>48.089868</td>\n",
       "      <td>30.684299</td>\n",
       "      <td>610.579856</td>\n",
       "      <td>733.732082</td>\n",
       "      <td>0.232726</td>\n",
       "      <td>139.492697</td>\n",
       "      <td>139.492697</td>\n",
       "      <td>49.730291</td>\n",
       "      <td>8.456464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>2.958336e+08</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>26.000000</td>\n",
       "      <td>6.190992e+08</td>\n",
       "      <td>212.250000</td>\n",
       "      <td>90.00000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.682500</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>7.074432e+08</td>\n",
       "      <td>1115.500000</td>\n",
       "      <td>540.00000</td>\n",
       "      <td>565.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.210000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>67.000000</td>\n",
       "      <td>332.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>134.500000</td>\n",
       "      <td>134.500000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>32.000000</td>\n",
       "      <td>8.168040e+08</td>\n",
       "      <td>2185.500000</td>\n",
       "      <td>1126.75000</td>\n",
       "      <td>1121.500000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.580000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>83.000000</td>\n",
       "      <td>676.250000</td>\n",
       "      <td>682.500000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>276.750000</td>\n",
       "      <td>276.750000</td>\n",
       "      <td>32.750000</td>\n",
       "      <td>18.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>42.000000</td>\n",
       "      <td>1.001894e+09</td>\n",
       "      <td>3420.000000</td>\n",
       "      <td>1710.00000</td>\n",
       "      <td>1710.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>8.570000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>3420.000000</td>\n",
       "      <td>3420.000000</td>\n",
       "      <td>4.090000</td>\n",
       "      <td>419.000000</td>\n",
       "      <td>419.000000</td>\n",
       "      <td>175.000000</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              age      birthday  minutes_played_overall  minutes_played_home  \\\n",
       "count  570.000000  5.700000e+02              570.000000            570.00000   \n",
       "mean    28.952632  7.123348e+08             1317.577193            658.95614   \n",
       "std      4.359851  1.380632e+08             1096.272614            557.48134   \n",
       "min     20.000000  2.958336e+08                0.000000              0.00000   \n",
       "25%     26.000000  6.190992e+08              212.250000             90.00000   \n",
       "50%     29.000000  7.074432e+08             1115.500000            540.00000   \n",
       "75%     32.000000  8.168040e+08             2185.500000           1126.75000   \n",
       "max     42.000000  1.001894e+09             3420.000000           1710.00000   \n",
       "\n",
       "       minutes_played_away  appearances_overall  appearances_home  \\\n",
       "count           570.000000           570.000000        570.000000   \n",
       "mean            658.621053            18.380702          9.184211   \n",
       "std             549.122038            12.863375          6.525286   \n",
       "min               0.000000             0.000000          0.000000   \n",
       "25%             102.000000             6.000000          3.000000   \n",
       "50%             565.000000            19.000000         10.000000   \n",
       "75%            1121.500000            30.000000         15.000000   \n",
       "max            1710.000000            38.000000         19.000000   \n",
       "\n",
       "       appearances_away  goals_overall  goals_home  ...  \\\n",
       "count        570.000000     570.000000  570.000000  ...   \n",
       "mean           9.196491       1.824561    1.008772  ...   \n",
       "std            6.491307       3.478899    2.151942  ...   \n",
       "min            0.000000       0.000000    0.000000  ...   \n",
       "25%            3.000000       0.000000    0.000000  ...   \n",
       "50%            9.500000       0.000000    0.000000  ...   \n",
       "75%           15.000000       2.000000    1.000000  ...   \n",
       "max           19.000000      22.000000   18.000000  ...   \n",
       "\n",
       "       conceded_per_90_overall  min_per_conceded_overall  min_per_match  \\\n",
       "count               570.000000                570.000000     570.000000   \n",
       "mean                  1.210386                 63.638596      56.487719   \n",
       "std                   0.952720                 48.089868      30.684299   \n",
       "min                   0.000000                  0.000000       0.000000   \n",
       "25%                   0.682500                 40.000000      35.000000   \n",
       "50%                   1.210000                 63.000000      67.000000   \n",
       "75%                   1.580000                 80.000000      83.000000   \n",
       "max                   8.570000                353.000000      90.000000   \n",
       "\n",
       "       min_per_card_overall  min_per_assist_overall  cards_per_90_overall  \\\n",
       "count            570.000000              570.000000            570.000000   \n",
       "mean             475.163158              464.422807              0.140263   \n",
       "std              610.579856              733.732082              0.232726   \n",
       "min                0.000000                0.000000              0.000000   \n",
       "25%                0.000000                0.000000              0.000000   \n",
       "50%              332.000000                0.000000              0.100000   \n",
       "75%              676.250000              682.500000              0.200000   \n",
       "max             3420.000000             3420.000000              4.090000   \n",
       "\n",
       "       rank_in_league_top_attackers  rank_in_league_top_midfielders  \\\n",
       "count                    570.000000                      570.000000   \n",
       "mean                     154.103509                      154.103509   \n",
       "std                      139.492697                      139.492697   \n",
       "min                       -1.000000                       -1.000000   \n",
       "25%                       -1.000000                       -1.000000   \n",
       "50%                      134.500000                      134.500000   \n",
       "75%                      276.750000                      276.750000   \n",
       "max                      419.000000                      419.000000   \n",
       "\n",
       "       rank_in_league_top_defenders  rank_in_club_top_scorer  \n",
       "count                    570.000000               570.000000  \n",
       "mean                      26.324561                11.277193  \n",
       "std                       49.730291                 8.456464  \n",
       "min                       -1.000000                -1.000000  \n",
       "25%                       -1.000000                 4.000000  \n",
       "50%                       -1.000000                11.000000  \n",
       "75%                       32.750000                18.000000  \n",
       "max                      175.000000                31.000000  \n",
       "\n",
       "[8 rows x 40 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "football_stats_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(football_stats_df.full_name.str.islower())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Defender', 'Midfielder', 'Forward', 'Goalkeeper'], dtype=object)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "football_stats_df.position.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['West Ham United', 'Burnley', 'Huddersfield Town', 'Arsenal',\n",
       "       'Crystal Palace', 'Watford', 'Fulham', 'Liverpool',\n",
       "       'AFC Bournemouth', 'Wolverhampton Wanderers', 'Everton',\n",
       "       'Leicester City', 'Southampton', 'Cardiff City',\n",
       "       'Manchester United', 'Tottenham Hotspur', 'Brighton & Hove Albion',\n",
       "       'Chelsea', 'Newcastle United', 'Manchester City'], dtype=object)"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "teams = football_stats_df['Current Club'].unique()\n",
    "teams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(teams)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "country = football_stats_df['nationality'].unique()\n",
    "country;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "67"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(country)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='address'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Issues to be addressed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following are the issues detected from the programmatic and visual assessment of the data. These issues will be addressed in the next section, 'Data Cleaning', before analysis is done."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">- inconsistent column header names (```Current Club```)\n",
    ">- multiple values in a single column (```birthday_GMT```)\n",
    ">- drop irrelevant columns\n",
    ">- add new column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='clean'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Data Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All data quality issues detected in the previous section are cleaned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "football_stats_df_clean = football_stats_df.copy() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1 inconsistent column header names"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change ```Current Club``` to lowercase characters. Also, use underscore where appropriate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "football_stats_df_clean.rename(columns={'Current Club': 'current_club'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "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>full_name</th>\n",
       "      <th>age</th>\n",
       "      <th>birthday</th>\n",
       "      <th>birthday_GMT</th>\n",
       "      <th>league</th>\n",
       "      <th>season</th>\n",
       "      <th>position</th>\n",
       "      <th>current_club</th>\n",
       "      <th>minutes_played_overall</th>\n",
       "      <th>minutes_played_home</th>\n",
       "      <th>...</th>\n",
       "      <th>conceded_per_90_overall</th>\n",
       "      <th>min_per_conceded_overall</th>\n",
       "      <th>min_per_match</th>\n",
       "      <th>min_per_card_overall</th>\n",
       "      <th>min_per_assist_overall</th>\n",
       "      <th>cards_per_90_overall</th>\n",
       "      <th>rank_in_league_top_attackers</th>\n",
       "      <th>rank_in_league_top_midfielders</th>\n",
       "      <th>rank_in_league_top_defenders</th>\n",
       "      <th>rank_in_club_top_scorer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aaron Cresswell</td>\n",
       "      <td>32</td>\n",
       "      <td>629683200</td>\n",
       "      <td>1989/12/15</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>Defender</td>\n",
       "      <td>West Ham United</td>\n",
       "      <td>1589</td>\n",
       "      <td>888</td>\n",
       "      <td>...</td>\n",
       "      <td>1.25</td>\n",
       "      <td>72</td>\n",
       "      <td>79</td>\n",
       "      <td>1589</td>\n",
       "      <td>1589</td>\n",
       "      <td>0.06</td>\n",
       "      <td>290</td>\n",
       "      <td>191</td>\n",
       "      <td>80</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         full_name  age   birthday birthday_GMT          league     season  \\\n",
       "0  Aaron Cresswell   32  629683200   1989/12/15  Premier League  2018/2019   \n",
       "\n",
       "   position     current_club  minutes_played_overall  minutes_played_home  \\\n",
       "0  Defender  West Ham United                    1589                  888   \n",
       "\n",
       "   ...  conceded_per_90_overall min_per_conceded_overall  min_per_match  \\\n",
       "0  ...                     1.25                       72             79   \n",
       "\n",
       "   min_per_card_overall  min_per_assist_overall  cards_per_90_overall  \\\n",
       "0                  1589                    1589                  0.06   \n",
       "\n",
       "   rank_in_league_top_attackers  rank_in_league_top_midfielders  \\\n",
       "0                           290                             191   \n",
       "\n",
       "   rank_in_league_top_defenders  rank_in_club_top_scorer  \n",
       "0                            80                       20  \n",
       "\n",
       "[1 rows x 47 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "football_stats_df_clean.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2 multiple values in a single column (```birthday_GMT```)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Extract birthday year, month, and day into a new column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "football_stats_df_clean[['birth_year', 'birth_month', 'birth_date']] = (\n",
    "football_stats_df_clean['birthday_GMT'].str.split('/', expand=True)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "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>full_name</th>\n",
       "      <th>age</th>\n",
       "      <th>birthday</th>\n",
       "      <th>birthday_GMT</th>\n",
       "      <th>league</th>\n",
       "      <th>season</th>\n",
       "      <th>position</th>\n",
       "      <th>current_club</th>\n",
       "      <th>minutes_played_overall</th>\n",
       "      <th>minutes_played_home</th>\n",
       "      <th>...</th>\n",
       "      <th>min_per_card_overall</th>\n",
       "      <th>min_per_assist_overall</th>\n",
       "      <th>cards_per_90_overall</th>\n",
       "      <th>rank_in_league_top_attackers</th>\n",
       "      <th>rank_in_league_top_midfielders</th>\n",
       "      <th>rank_in_league_top_defenders</th>\n",
       "      <th>rank_in_club_top_scorer</th>\n",
       "      <th>birth_year</th>\n",
       "      <th>birth_month</th>\n",
       "      <th>birth_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aaron Cresswell</td>\n",
       "      <td>32</td>\n",
       "      <td>629683200</td>\n",
       "      <td>1989/12/15</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>Defender</td>\n",
       "      <td>West Ham United</td>\n",
       "      <td>1589</td>\n",
       "      <td>888</td>\n",
       "      <td>...</td>\n",
       "      <td>1589</td>\n",
       "      <td>1589</td>\n",
       "      <td>0.06</td>\n",
       "      <td>290</td>\n",
       "      <td>191</td>\n",
       "      <td>80</td>\n",
       "      <td>20</td>\n",
       "      <td>1989</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aaron Lennon</td>\n",
       "      <td>34</td>\n",
       "      <td>545529600</td>\n",
       "      <td>1987/04/16</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>Burnley</td>\n",
       "      <td>1217</td>\n",
       "      <td>487</td>\n",
       "      <td>...</td>\n",
       "      <td>1217</td>\n",
       "      <td>1217</td>\n",
       "      <td>0.07</td>\n",
       "      <td>196</td>\n",
       "      <td>187</td>\n",
       "      <td>-1</td>\n",
       "      <td>10</td>\n",
       "      <td>1987</td>\n",
       "      <td>04</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Aaron Mooy</td>\n",
       "      <td>31</td>\n",
       "      <td>653356800</td>\n",
       "      <td>1990/09/15</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>Huddersfield Town</td>\n",
       "      <td>2327</td>\n",
       "      <td>1190</td>\n",
       "      <td>...</td>\n",
       "      <td>582</td>\n",
       "      <td>2327</td>\n",
       "      <td>0.15</td>\n",
       "      <td>144</td>\n",
       "      <td>233</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "      <td>1990</td>\n",
       "      <td>09</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 50 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         full_name  age   birthday birthday_GMT          league     season  \\\n",
       "0  Aaron Cresswell   32  629683200   1989/12/15  Premier League  2018/2019   \n",
       "1     Aaron Lennon   34  545529600   1987/04/16  Premier League  2018/2019   \n",
       "2       Aaron Mooy   31  653356800   1990/09/15  Premier League  2018/2019   \n",
       "\n",
       "     position       current_club  minutes_played_overall  minutes_played_home  \\\n",
       "0    Defender    West Ham United                    1589                  888   \n",
       "1  Midfielder            Burnley                    1217                  487   \n",
       "2  Midfielder  Huddersfield Town                    2327                 1190   \n",
       "\n",
       "   ...  min_per_card_overall min_per_assist_overall  cards_per_90_overall  \\\n",
       "0  ...                  1589                   1589                  0.06   \n",
       "1  ...                  1217                   1217                  0.07   \n",
       "2  ...                   582                   2327                  0.15   \n",
       "\n",
       "   rank_in_league_top_attackers  rank_in_league_top_midfielders  \\\n",
       "0                           290                             191   \n",
       "1                           196                             187   \n",
       "2                           144                             233   \n",
       "\n",
       "   rank_in_league_top_defenders  rank_in_club_top_scorer  birth_year  \\\n",
       "0                            80                       20        1989   \n",
       "1                            -1                       10        1987   \n",
       "2                            -1                        3        1990   \n",
       "\n",
       "   birth_month  birth_date  \n",
       "0           12          15  \n",
       "1           04          16  \n",
       "2           09          15  \n",
       "\n",
       "[3 rows x 50 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "football_stats_df_clean.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.3 drop ```birthday``` column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The ```birthday``` column is not relevant to our analysis. Hence, we drop it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "football_stats_df_clean.drop('birthday', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "scrolled": true
   },
   "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>full_name</th>\n",
       "      <th>age</th>\n",
       "      <th>birthday_GMT</th>\n",
       "      <th>league</th>\n",
       "      <th>season</th>\n",
       "      <th>position</th>\n",
       "      <th>current_club</th>\n",
       "      <th>minutes_played_overall</th>\n",
       "      <th>minutes_played_home</th>\n",
       "      <th>minutes_played_away</th>\n",
       "      <th>...</th>\n",
       "      <th>min_per_card_overall</th>\n",
       "      <th>min_per_assist_overall</th>\n",
       "      <th>cards_per_90_overall</th>\n",
       "      <th>rank_in_league_top_attackers</th>\n",
       "      <th>rank_in_league_top_midfielders</th>\n",
       "      <th>rank_in_league_top_defenders</th>\n",
       "      <th>rank_in_club_top_scorer</th>\n",
       "      <th>birth_year</th>\n",
       "      <th>birth_month</th>\n",
       "      <th>birth_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aaron Cresswell</td>\n",
       "      <td>32</td>\n",
       "      <td>1989/12/15</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>Defender</td>\n",
       "      <td>West Ham United</td>\n",
       "      <td>1589</td>\n",
       "      <td>888</td>\n",
       "      <td>701</td>\n",
       "      <td>...</td>\n",
       "      <td>1589</td>\n",
       "      <td>1589</td>\n",
       "      <td>0.06</td>\n",
       "      <td>290</td>\n",
       "      <td>191</td>\n",
       "      <td>80</td>\n",
       "      <td>20</td>\n",
       "      <td>1989</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aaron Lennon</td>\n",
       "      <td>34</td>\n",
       "      <td>1987/04/16</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>Burnley</td>\n",
       "      <td>1217</td>\n",
       "      <td>487</td>\n",
       "      <td>730</td>\n",
       "      <td>...</td>\n",
       "      <td>1217</td>\n",
       "      <td>1217</td>\n",
       "      <td>0.07</td>\n",
       "      <td>196</td>\n",
       "      <td>187</td>\n",
       "      <td>-1</td>\n",
       "      <td>10</td>\n",
       "      <td>1987</td>\n",
       "      <td>04</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         full_name  age birthday_GMT          league     season    position  \\\n",
       "0  Aaron Cresswell   32   1989/12/15  Premier League  2018/2019    Defender   \n",
       "1     Aaron Lennon   34   1987/04/16  Premier League  2018/2019  Midfielder   \n",
       "\n",
       "      current_club  minutes_played_overall  minutes_played_home  \\\n",
       "0  West Ham United                    1589                  888   \n",
       "1          Burnley                    1217                  487   \n",
       "\n",
       "   minutes_played_away  ... min_per_card_overall  min_per_assist_overall  \\\n",
       "0                  701  ...                 1589                    1589   \n",
       "1                  730  ...                 1217                    1217   \n",
       "\n",
       "   cards_per_90_overall  rank_in_league_top_attackers  \\\n",
       "0                  0.06                           290   \n",
       "1                  0.07                           196   \n",
       "\n",
       "   rank_in_league_top_midfielders  rank_in_league_top_defenders  \\\n",
       "0                             191                            80   \n",
       "1                             187                            -1   \n",
       "\n",
       "   rank_in_club_top_scorer  birth_year  birth_month  birth_date  \n",
       "0                       20        1989           12          15  \n",
       "1                       10        1987           04          16  \n",
       "\n",
       "[2 rows x 49 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "football_stats_df_clean.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.4 add new column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We might want to analyze the number of players from different continents playing in the premier league (2018/2019). To do this, we need to add another column which will contain the corresponding continent of each player's country. The data to be used is gotten from a Github repository. Also, this file is available in this project repository.    \n",
    "Before, we merge merge both dataframes however, we first need to check for countries with missing continents in our file. This countries, if any exist, are added manually."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "continents = pd.read_csv('https://raw.githubusercontent.com/dbouquin/IS_608/master/NanosatDB_munging/Countries-Continents.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "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>Continent</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Algeria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Angola</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Benin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Botswana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Burkina</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Continent   Country\n",
       "0    Africa   Algeria\n",
       "1    Africa    Angola\n",
       "2    Africa     Benin\n",
       "3    Africa  Botswana\n",
       "4    Africa   Burkina"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "continents.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rename column headers\n",
    "continents.rename(columns={'Country': 'nationality', 'Continent': 'continent'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "nationality_football = football_stats_df.nationality\n",
    "nationality_football;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "nationality_continents = continents.nationality\n",
    "nationality_continents;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['England', 'Wales', 'Scotland', 'Republic of Ireland',\n",
       "       'Northern Ireland', 'USA', 'Congo DR', \"Côte d'Ivoire\",\n",
       "       'South Korea', 'Curaçao', 'Czech Republic'], dtype=object)"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing = nationality_football[~nationality_football.isin(nationality_continents)].unique()\n",
    "missing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "additional_continents = {'England': 'Europe', 'Wales': 'Europe', 'Scotland': 'Europe', \n",
    "                         'Republic of Ireland': 'Europe', 'Northern Ireland': 'Europe',\n",
    "                         'USA': 'North America', 'Congo DR': 'Africa', \n",
    "                         \"Côte d'Ivoire\": 'Africa', 'South Korea': 'Asia',\n",
    "                         'Curaçao': 'South America', 'Czech Republic': 'Europe'\n",
    "                        }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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",
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       "    }\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>nationality</th>\n",
       "      <th>continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>England</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Wales</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Scotland</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Republic of Ireland</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Northern Ireland</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>USA</td>\n",
       "      <td>North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Congo DR</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Côte d'Ivoire</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>South Korea</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Curaçao</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            nationality      continent\n",
       "0               England         Europe\n",
       "1                 Wales         Europe\n",
       "2              Scotland         Europe\n",
       "3   Republic of Ireland         Europe\n",
       "4      Northern Ireland         Europe\n",
       "5                   USA  North America\n",
       "6              Congo DR         Africa\n",
       "7         Côte d'Ivoire         Africa\n",
       "8           South Korea           Asia\n",
       "9               Curaçao  South America\n",
       "10       Czech Republic         Europe"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert additional_contents to dataframe\n",
    "additional_continents_df = pd.DataFrame(additional_continents.items(), columns=['nationality', 'continent'])\n",
    "additional_continents_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "# append 'additional_continents_df' to 'continents'\n",
    "continents = continents.append(additional_continents_df)\n",
    "continents;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "scrolled": false
   },
   "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>nationality</th>\n",
       "      <th>continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>England</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>England</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>England</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>England</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>England</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  nationality continent\n",
       "0     England    Europe\n",
       "1     England    Europe\n",
       "2     England    Europe\n",
       "3     England    Europe\n",
       "4     England    Europe"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "football_stats_df_clean = football_stats_df_clean.merge(continents)\n",
    "football_stats_df_clean[['nationality', 'continent']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check if everything worked fine\n",
    "football_stats_df.shape[0] == football_stats_df_clean.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "continents.to_csv('countries_continents.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='explore'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Exploratory Analysis and Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This section combines \"asking questions\", \"exploration\" and \"visualization\".   \n",
    "**Note: All questions asked and answered were in-line with player data in the 2018/2019 premier league season and should not be considered 'valid' for any other seasons.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "# configure visualization workspace\n",
    "sns.set_style('darkgrid')\n",
    "matplotlib.rcParams['font.size'] = 14\n",
    "matplotlib.rcParams['figure.figsize'] = (9, 5)\n",
    "matplotlib.rcParams['figure.facecolor'] = '#00000000'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q1: How many Africans play in the 2018/2019 Premier League"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "continent\n",
       "Africa            44\n",
       "Asia              10\n",
       "Europe           453\n",
       "North America     10\n",
       "Oceania            3\n",
       "South America     50\n",
       "Name: nationality, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "continents_data = football_stats_df_clean.groupby('continent').count()['nationality']\n",
    "display(continents_data)\n",
    "sns.barplot(continents_data.index, continents_data)\n",
    "plt.title('Number of players in the 2018/2019 EPL season across various continents');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 44,  10, 453,  10,   3,  50], dtype=int64)"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "continents_data.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Q2: List the top 5 Midfielders with the highest number of assists "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "scrolled": false
   },
   "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>full_name</th>\n",
       "      <th>position</th>\n",
       "      <th>assists_overall</th>\n",
       "      <th>current_club</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>Eden Hazard</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>15</td>\n",
       "      <td>Chelsea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>Ryan Fraser</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>14</td>\n",
       "      <td>AFC Bournemouth</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>Christian Eriksen</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>12</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>Leroy Sané</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>10</td>\n",
       "      <td>Manchester City</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>Paul Pogba</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>9</td>\n",
       "      <td>Manchester United</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             full_name    position  assists_overall       current_club\n",
       "457        Eden Hazard  Midfielder               15            Chelsea\n",
       "393        Ryan Fraser  Midfielder               14    AFC Bournemouth\n",
       "378  Christian Eriksen  Midfielder               12  Tottenham Hotspur\n",
       "368         Leroy Sané  Midfielder               10    Manchester City\n",
       "255         Paul Pogba  Midfielder                9  Manchester United"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_assists_midfielders = (football_stats_df_clean.query('position == \"Midfielder\"')\n",
    "                           .sort_values(by ='assists_overall', ascending=False)\n",
    "                          [['full_name', 'position', 'assists_overall', 'current_club']]\n",
    "                          .head(5))\n",
    "display(top_assists_midfielders)\n",
    "sns.barplot('assists_overall', 'full_name', data=top_assists_midfielders)\n",
    "plt.title('Top 5 Midfielders with most assists');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q3: Top 5 Africa players with the highest number of goals"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='scatter1'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q4: What is the distribution of minutes played to number of yellow cards?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=football_stats_df_clean, x='minutes_played_overall', y='yellow_cards_overall', hue='current_club')\n",
    "matplotlib.rcParams['figure.figsize'] = (10, 10)\n",
    "plt.title('Distribution of yellow cards to the number of minutes played');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q5: Which team has the most 'aggressive'  defenders (yellow cards)?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "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>full_name</th>\n",
       "      <th>position</th>\n",
       "      <th>yellow_cards_overall</th>\n",
       "      <th>current_club</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>545</th>\n",
       "      <td>José Holebas</td>\n",
       "      <td>Defender</td>\n",
       "      <td>13</td>\n",
       "      <td>Watford</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>Fabian Schär</td>\n",
       "      <td>Defender</td>\n",
       "      <td>12</td>\n",
       "      <td>Newcastle United</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>Sokratis Papastathopoulos</td>\n",
       "      <td>Defender</td>\n",
       "      <td>12</td>\n",
       "      <td>Arsenal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>Ryan Bennett</td>\n",
       "      <td>Defender</td>\n",
       "      <td>12</td>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Luke Shaw</td>\n",
       "      <td>Defender</td>\n",
       "      <td>11</td>\n",
       "      <td>Manchester United</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     full_name  position  yellow_cards_overall  \\\n",
       "545               José Holebas  Defender                    13   \n",
       "532               Fabian Schär  Defender                    12   \n",
       "547  Sokratis Papastathopoulos  Defender                    12   \n",
       "183               Ryan Bennett  Defender                    12   \n",
       "146                  Luke Shaw  Defender                    11   \n",
       "\n",
       "                current_club  \n",
       "545                  Watford  \n",
       "532         Newcastle United  \n",
       "547                  Arsenal  \n",
       "183  Wolverhampton Wanderers  \n",
       "146        Manchester United  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Ga70VeNEKjmthejDfxuRmj0tesNY6TCm1HhNYRGPW6bcOo9zpdjtnlZWcv8PficvdiNRP5I6nUXaG9rEMOgv4p7JvONYzo8fcVGlzU+kATBpLcUy6ySDMFY4qaUx2DhOQJi8r3LpC8QLmBvJYIPEG7SzV05LYgZDatiti1Qut9VWl1ErM8f4QsMG6eW+5NWyvVdbt0tUucetE1E4p1RxzktXQWpZ3MTni56zP52N60W8nI9s1s9smP5k7togcID3UIttYeYzbgQpa682JP5jLjEOA5tao9YA9WutvHYKEYsBD5FybTMx9exLTO431Ox/mi3+9dnjqQzLJexLuGiudYR3QSiV91mgrMr+u1mG+5IKSbZ8YzM1K5ZVSPkqpg1bvC1rr01rrGZiXV/hj8j7BBPnZITE32H4p1cpD9M6m8gGaW0F0oucx6y4xZ3Ylpu1td1gnWzA99S9lcl6JKTf/Szb8ZUzPVWYeh5iR/WQNpn0+m2xax+c5R2KC+9uNk5Y9mC/qUsnaTCQmJ7aWVa+NSqlPAbTWF7V5Ys1HmJvHiiil3lVKHVZKeWitbVrrdZge7WuYJ92kZSYm3/VlYJvWerfDZyu5s+22FHhCOdwIp8yNio6X81davwOSLbcfptcwtaAOMrCP3aZeqdXTFYftZB0Dnk78PxPH3BSUUqWVUseUUq2tsiK11hMwT3ApcZt6RQBBKvVnH3+JSZdpB/xkBYVZqqfDsl7GPJv/eXXrZliUUg9gUjgc963fMCdDj5D0eF8Jc8/BonQ6Bv4GHreuXibOpzymp/sRzL4ZpbUe6xBM+2Hu30jvuJzuds3MtrE6Pdwx+6TIRdJDLbJbH8xNUT9gHjnnjLlLuS63bjbcCPRVSvW1/i5rTedGzr085S/gBuZu6XYAWuu9yjyerR4p80vttNbxSqnLmJy5ujr9G/Gy20DMl8E8pdQMTK7cYOuzDAf7WuuzSqnRwDDrS2gF5kkhgzDrfrOVx7kNGGod5HdY8+uOyeFL7IGLAqoopRoDy5Pld2fGQkxgNl0pNQoTqAziVk9vdiiI6V2fgMlx/BDzpZaYizsYWA8sVkpNxqSpvIq54S55YHxbWuudSqnZwBArYFuNuVN/AGZ9p/VkkNSku59YvbjfACOsXvCdmMA5MZ803mq/gzA3xU3D5JCHYk4k4TZtyMrt7AtMtdrDQszVgz6YdvGGNepqTP5sFKbnrxBmO+7FBE1OmKcf/KqUmoR5wkZbTE/m7Z5l/D2m9/oVoFeyzwZzZ9ttCCZ4+UspNdJanmE49JJqrXcopeYAXyrzyMRNmPU/FHNpfneKUsnYPnabeiUva5lS6k9Mr39hzI13r2LasKOMHHNTK/+QMjdLTrJSNA5i8oBfIfX88ESLMVcsKpIyJ3s+5ik4D3OrfWWpnqmU8TuwxGpHHtYwV5LeD7DQqoc/t/KSV2M6Auri8Mi/NAzFtOPFyjxy0w3T3nZZy+gJvKaUGmvVJwjTPgNIPRXPLiPbNZPbpp71e3E6yyRymPRQi2yltf4T82VeCHNp72vro2Za67+tv0dgejzfxtwY8g4m124o8JB1yTi763WdWwHUCoePEnsv0sufHoS5qfFXlfGbFrOFNs+ifg7zhT4P85SDxCcIRKcxWVpl9cMExy0x634ksAF4RGt93hqtE7cexbYI80U1j6RPUhmO+RL5hYzlP6ZVn/2YwKqIVVYvoAfp3/yXGZ9jcui/x5yczMThiSlWjn1dzAnXDMzjqoKANtrhiQiZ0AHTll/k1nPTxwEtUsmbvJ2M7idvYm547InZTv7cenRXtLWMM63xGmFuymqNeeykfZy0aK2/wFzGr4EJJhLX56P61vOe+2BOVF7B9A6Ow5wENLV6pLdhrg55Y9b/fMzjzlrq27xESZubjxdiUjjmJPvsjrabNk+nqI9J5Uh8vvrHmODfUXvMyV4nTNDUD7N+G+ukN8ImLz8j+1hGtbaWrQ/mRuTrJHssWwaPuWl5CrOPD7B+dwfGY9pcWlZh0qWeSP6BNjd6LsWkWqzOxnomlrEYeAzTIzsL0xbDgVpa6z0O4x3BHEOuYdoh2twY+A/mCsJtT2yt3vOGmJPNWZgAfBPwmDbPf5+BaTfPYdr7AMz3SxfggXRy0CED25WMb5vHgX+01tJDncucEhKyK0VVCJETlFLPAhHa4ZF9yrzwYxvm0V+Z6fUU/yLKvPzhCcxjDs87DB8HvKi1DrT+b4f50t3vMM4zmOC6guNwIdKjlHoXc4JWxvHqlJUicQT4RGs9Mq3pRfaw0kyOA//TWt/uqSXiLpCUDyHufU0xd873xbx1KwjTW7aLW73u4r/pKvAp0E4p9RkmV7cuJtgZ4DDe/4DBVurHMczVjsHAnxJMizvwOeY53y8Ac5VSJTCpdE0w6RFf5F7V/lPeBrZKMH1vkB5qIe5xyjyL+kPMZcLCmPzihZjXNsud3f9x1g11H2JuEPTGnHR9rrWe4jBOACatoTkmJeQUJkVikE756DYh0qWUehiTMlMRkzu8DZM+9LqVmiFykFKqCCYn/2Gd9suhxF0kAbUQQgghhBBZIDclCiGEEEIIkQUSUAshhBBCCJEF9/1NifHx8Qk2m6StCCGEEEKInOXm5nKOVN6ked8H1DZbAlFRck+NEEIIIYTIWQEBeVN95rekfAghhBBCCJEFElALIYQQQgiRBRJQCyGEEEIIkQUSUAshhBBCCJEFElALIYQQQgiRBff9Uz6EEEKIf7tr12KIjo7CZovL7aoI8a/l4uKKj08+vLzyZHpaCaiFEEKIe9i1azFcuXKRfPkCcHNzx8nJKberJMS/TkJCArGxN4mKOguQ6aBaUj6EEEKIe1h0dBT58gXg7u4hwbQQOcTJyQl3dw/y5QsgOjoq09NLQC2EEELcw2y2ONzc3HO7GkL8J7i5ud9RapUE1EIIIcQ9Tnqmhbg77nRfk4BaCCGEEEKILJCAWgghhBAih8TGxrJgwbxsKateveps2rQx3fFOnjxBvXrVOXbsaLbMV6RPAmohhBBCiByybNlivvlmem5XQ+QwCaiFEEIIIXJIQkJCbldB3AUSUAshhBDivnfixHHee687TZs+QqtWLZg5c0aqqQ/Tp0+lS5dXAVi0aCGvv96B/v3f47HHHmXhwgV07fo6Y8eO5IUXnuGZZx4nKiqKM2dO06fPuzRpUo/WrZ9g8uQJxMbG2svo0uVVvvrqC558sglPP/0Y48d/Qnx8PFu3bmbEiCGcPXuGevWqc/LkiXSX49KlKIYM6c9jjz3Kk082Zfz4T4iLS/nUiTZtWrJw4QL7/1u3bqZevepJxl21ajmtWz9Bs2aPMm7cmFTLEdlDXuwihBBCiPvazZs36dmzKyVLlmbq1BmcPXuWQYP6ZKh3eO/e3VSt2oHXX38TH5+8LF68iEWLFvLJJxPx8HDHz8+P115rT6lSpZk+fRZRURcZM+Yj4uLi6NatBwD79u2hYMGCTJr0Jbt27WDUqOHUrFmb6tVr8vbb7zJ79jfMmDGLfPnyp1ufvn17Ex9vY/z4KcTG3mTw4H7ky5eP9u1fzfR6WbhwAYMHD8dmszFs2EC8vb15/fU3M12OSN9/MqD28fXEy8Mt28u9diOW6MvXs71cIYQQQqRt8+Z/OHfuLF9++S0+Pj6UKlWGnj3fJyrqYoamb9euI97et96MV7v2w4SEVLGXfeLEcaZO/QoXFxeKFy9Bz57v07NnV7p06QaAzWajd+9++Pj4ULx4CebP/4H9+/dSp05dfHx8cHZ2pkAB/3TrcfjwIXbs2MbcuT8TFBQMQK9efTh//lxmVwkAXbv2oHJlsxyvvdaFiRM/lYA6h/wnA2ovDzeq9Z6Z7eVuGd2OaCSgFkIIIe6miIjDFC0ajI+Pj31Ys2aPc/LkCT77bOxtp/Xz80sSTAMEBhax/x0ZGU509BWaN29gH2ZeUx3L6dOnrDLyJZm3t3eeO0qviIgIJ0+ePPZgGqBOnbqZLidRhQoP2v8uV648ly5d4uLFi+TPn35Pucic/2RALYQQQoh/D1fX1K86p/aSDpvNluR/d3ePFOO4u996M6XNZiMoKJhRo8alGK9gwUIAuLmlnP+d3Izo5pbxsCz5siVfLgBn51u3ysXHx1vzyP4r9EJuShRCCCHEfS44OJgTJ44RExNtHzZ9+lRGjRoOQExMjH34iRPHM1l2cc6cOY2vrx9BQcEEBQVz/vx5pkyZaA9Sbyczb94LCipGTEwMx48fsw/77bcFvP32GynGdXV1TbK8qS3XoUMH7X/v27eHAgX8k/Ski+wjAbUQQggh7ms1a9ahYMFCjBw5nIiIcNavX8uPP87liSeeomDBQnz77QyOHz/Gn3/+zvr1azJZdm2KFCnK0KH9CQs7wO7dOxk5chjOzs54eKTs3U7Oy8uL6OhojhyJTDcNpGTJUlSvXpOPPx5GWNgBduzYztdfT6dmzdopxq1Q4SEWLJjP4cMH2bZtC99/PzvFOOPGjWH37l1s2rSR6dOn8OKLr2R8wUWmSEAthBBCiPuai4sLH330CZcvX6JTp1cYM+YjOnbsTOPGzejTZwCHDx+ibdvnWbp0Me3bd8502R9/PBZnZxe6dOnE++/3ICQklA8+6J+h6atWrUHx4iXo0OElDh4MS3f8AQOG4uvrS5cunRgw4H2aNHmMl15qm2K8117rgr+/P6++2pZx40bz2mtdUozTps3z9O3biwEDPuCxx1rwwgv/y1CdReY53e8PHI+NtSVERV3N1DQBAXlz7KbEs2evZHu5Qggh/rtOnYokMLB4bldDiP+M2+1zAQF5twDVkw+XHmohhBBCCCGyQJ7yIYQQQghxF3Tq9ApHj0am+fngwSOoW7f+XayRyC4SUAshhBBC3AUjRowhLi42zc8z8vIXcW+SgFoIIYQQ4i4IDAzM7SqIHCI51EIIIYQQQmSBBNRCCCGEEEJkgQTUQgghhBBCZIEE1EIIIYQQQmSBBNRCCCGEEEJkgQTUQgghhMhWvXq9zbBhA5MMW79+LfXqVWf8+E+SDP/1159p0aIx6b25OSxMs2PHNvv/Gzeu5+mnm9O0aX0OHz6Y5Tpv2rSRevVSvABPiAyRx+YJIYQQ9yEfX0+8PNzu2vyu3Ygl+vL1DI0bElKVRYt+TTJs69bN+PsHsHXrpiTD9+zZRUhIKE5OTrcts2/f3rRr14mQkFAAJk+eQK1adejY8TUCAgpmYkmEyH4SUAshhBD3IS8PN6r1nnnX5rdldDuiyVhAXaVKKNOmTeLKlSvkzZsXMAH1Sy+9wsSJ47h48SL58+cHTED91FOt0y0zeQ92TEw0FStWpnDhIplcEiGyn6R8CCGEECJbVajwEO7u7uzfvweAK1eucPDgAZo1e5yiRYPYunUzANHR0URGRhAaWo1z587Rv//7NG/ekIYN69Cx4//Yvn0rAF27vs6pUycZOfJDhg8fTL161Tl58gSjRg2na9fXAYiICKdnz240a/YoTz/dnOnTpxIfHw/A9OlTef/9HnTr9n80b96QDRvWERMTzaBBfWna9BFeeqk1Bw7sz4U1Jf4tJKAWQgghRLZydXXloYcqsWfPbgC2bdtCsWLFyZ//AUJDq9nTPvbs2UXevL6UKVOWYcMGYrPFMWXKDGbMmE3BgoUYM+YjAEaMGE3BgoXo2rU777zTi19++dP+/4gRo4mKiuKttzrj7+/PtGlf06vXB/z884/MnTvLXqe1a/+mQYNGTJw4jcqVQxg9+iOOHIlg4sRpdO/em++/n3P3V5T415CAWgghhBDZLiQklH37TA/11q2bCQ2tBkBoaHW2bDE91I7503Xr1qd7996UKFGSkiVL0br180REhJOQkICvrx/Ozs7kyeODj48PBQr42//39fVj6dI/cXf34L33+lGiREnq129A585vMGfOrZQYPz8/nn32BcqUKUt8fAIrViyjW7eeKFWeWrXq0L59p7u/ksS/huRQCyGEECLbhYSE8ssv8wHYunUTnTqZ1IyqVasxdOgRLl68wO7du6hd+2EAWrVqw7Jli9m9eyeRkRFobVIwbDYbrq63D1ciI8MpV04lGa9ixRCioqKIiooCIDDwVq710aOR2Gw2ypQpZx+m1IPZsNxPmE4AACAASURBVNTivypXAmqllAewBeiutV5mDasKjAWqAeeAacBIrXV8btRRCCGEEHeuYsXKXL58Ca33ExERTpUqpofa3z+AoKBi7Ny5nX379tClSzfi4+Pp0eMtLl++ROPGzahb9xFiY2Pp1693hubl7u6eYlh8vC3J79TGgVs3OqYXtAtxO3e99SilPIE5wEMOwx4A/gB+AF4HygFfA9HAhLtdRyGEEEJkjaenJ0pVYMGCnyhZsjT58uWzf1a1ajVWrlyOk5MTZcqUJTz8ENu3b2XBgj/x9/cHYP78H5OUd7vH6hUvXpIVK/4iLi7OHhjv3r0LX18/8uXLn2L8YsWK4+rqyr59e6lVqw5gnnMtxJ26qznUylxP2QCUTvZRCyAWeEdrfUBr/Rumt/rlu1k/IYQQQmSfkJBQli1bTNWqSV+YEhpajb//XmnPn/bxyYuzszPLly/h1KmTrFixjBkzpgJw8+ZNALy8vIiMjODy5Usp5tO0aXPi422MGjWciIhw1qxZxYwZU3nmmWdxdk4Z6uTJ48Njj7Vg/Pgx7N69i61bN/P111/mwBoQ/xV3+6bE+sASoE6y4auAF5OldyQAnnerYkIIIYTIXlWqVOXatWv2GxIThYZW5/r16/bhBQsW4t13P2Du3Nm88spzfPvtV7zzTi9cXV3tPcetWz/PL7/MZ+TID1PMx9vbmzFjJnDixHE6dXqZsWNH0abNi3Tu/EaadevZ8z0qV65Cz55dGTFiCM8++0I2Lrn4r3FK71WfOUUplQA0TcyhTvaZF7AH+E1r/fbtyomNtSVERV3N1LwDAvLmyMPwt4xux9mzV7K9XCGEEP9dp05FEhhYPMXwe/lNiULcz9La5wACAvJuAVK8o/6ey8BXSrkAs4A8wIj0xndxcSJfPu8cr1dG3Ut1EfcGF+JwdvPI1jLjY29gu/d2X5HL4p3i8HDN3rZ2I+4GzgnS1nLT6dNOuLikvKB8LeYm12Ju3tW62OuRkICT8+1fFX4nEuITIJ1XkAuR05ycMh9b3lNHSaWUO+aGxWZAE631qfSmsdkSuJMe6pyS2bqIf7+AgLwcGVopW8ssNnAX5+VqiEgmICAvdSfUzdYy13ZbK1fecllCQgI22731wCtXV2eu7M/+m/jyllfExd1byyr+exIS0o4t04oh75mA2krz+BmTX91ca70xl6skhBBCCCFEuu6ZgBqYDdTC9Exvyu3KCCGEEEIIkRH3RECtlHoBaAW8AhxVSgVaH9m01mdzr2ZCCCGEEELc3j0RUAPPWb9nJRt+HAi6y3URQgghhBAiw3ItoNZaOzn83Sa36iGEEEIIIURW3O0XuwghhBBCCPGvIgG1EEIIIYQQWSABtRBCCCGy3SvvduPtYQNJ/kbmHfv20rTDS9hstlyqWeasWLGM8+fPATB9+lS6dHn1jsq53bStWrVg0aKFGSqnTZuWLFy4AICrV69meLrUTJv2OV27vn7H04tb7pWbEoUQQgiRCQ/4ueHi7nnX5me7eZ0Ll2IzNc2+Q2H8sWo5LRo0zqFa5axTp04yYMAHzJ37c25Xxe6LL2bi7e0FwNy5s9i0aSMtWrTM5VoJCaiFEEKI+5CLu2e2v4X1dooN3AVkLqAuVMCfL3+cS91qNfDL65szFctByXvX7wX58+e3/30v1u+/SgJqIYQQQuSIZ5s/wbw/f+eLH+bQ69U3Uh0n5upVJs3+mrVbN+Pp5U3duo/QrVt3PD29eOKJJvTtO5D69RsA0KHD/wgMDOTjj8cC8N13s9i4cR3jxn3OiRPHGTduNNu2bcXHx4dWrdrQrl0nAHbv3snnn3+G1vtwcnKicuVQ+vQZQEBAQeLi4hg3bjQrVy7n2rWrVKoUQs+e71GsWAmee+4pAF58sRV9+w5KUfcdO7YzceJYDh06RJEiRXnllfY0b/5EltbZ8OGDyZPHh4sXL7B27Wr8/QvSrl1Hey90mzYtad/+VVxcXPjqqy8AqFevOmvWbObmzZtMnjyBpUv/ID4+gWrVatCjR28eeKAAAOHhhxk1ajgHDuynUqUQgoKCs1RXcYvkUAshhBAiR3i4u/Pmy+1ZsmY1u8N0quOMmT6VS1eu8GnfQYwdO56jRyMZPnwwzs7OVK9ek61btwBw+fJlwsMPsXv3Tvu0mzf/Q+3aD3Pz5k169uyKi4srU6fO4IMPBjBnzkyWLPmDq1dj6N27O9Wr1+Tbb39g7NiJnDhxnG++mQHAvHnf888/Gxg9ehzffDMXb+88DB8+BIAvvvgGgClTvqJx46ZJ6n3+/Dl6936Hpk0fZ+bMuXTs2Jlx40azZs3qLK+3BQt+olw5xYwZs6hVqzZjxnzM5cuXkozTuHFTXnzxFSpUeIhffvkTgKlTJ7F7905GjhzHxIlTSUiI5733epCQkMDNmzd5773uFClShBkzZvPIIw3tudgi66SHWgghhBA55uGq1akVEsqEmTP4fPCIJJ+dOHOatVs38dOEafj6+JC3vKJ//yG0adOS06dPUatWbX766QcAdu7cRuXKVdi3bw9HjkRQuHBRduzYSteu3dm8+R/OnTvLl19+i4+PD6VKlaFnz/fx9PTi2rVrtG3bkZdeegUnJyeKFClKgwaN7IH5yZMn8fDwIDCwCPnz56dXrw84evQoAPny5bd+58PDI2m++vz5P1K1ajWef/4lAIKCgomMjODHH7+jXr1HsrTOSpUqw8svtwfg9dffZN68Hzh8+BBVqlS1j+Ph4YmXlxeurq4UKODP9evXmT//B6ZO/Ypy5coDMGDAUFq0aMzOnduJiYkhKuoi777bB29vb4oXL8HWrZuIiorKUl2FIQG1EEIIIXLUWy93oHO/Xvy89E/KFi9pH37kxHESEhJ4+d2uADg537pwfvToEWrWrMOoUSO4fPkS27ZtpWrV6iQkJLBz53bOnTuHn18+SpYsxfr1ayhaNBgfHx/79M2aPW7/u0WLlnz//WzCwg4QERHOwYMHePDBigA8++zzrF69gmeeaU7lylWoX/9RWrR4Kt1liowMZ8OGdTRtWt8+zGaz2YPw5FxdXdPMeY6Pj8fV9VZIVrTorZdE58ljlikuLu629Tlx4hixsbG89dZrSYbfvHmTo0cjuXz5MkWKBOHt7W3/TKkH2bhx3W3LFRkjAbUQQgghclRgQAAvPfkM3y6Yx9tWXjOYANTTw4MpQz8GIE+pkthsJugsUMAfLy8vihUrwfbt29i+fStvvfUOsbGx7Ny5g+PHj1OrVh0AXF3d0pz32bNn6Ny5LWXLKmrWrMNTT7Vi3bo17Ny5HYDg4GJ89918NmxYx/r1a5g5cwa//voz06d/e9tlstlsNGnyGB06dE4y3Nk59WxaH5+8xMREpxiekJBAdPQVfHzy2oe5uaVcnvRuQEx8DOGECdOSnFiA6Wn/9df5QNIyHIN4kTWSQy2EEEKIHPd8i5YUyJefr+f/YB8WVLgI12/cID4+nqKFAgkOLgbAhAljiYmJAaBWrdqsWbOK8PDDPPhgRUJCQtm5cwcbN66ndu26AAQHB3PixLEkAev06VMZPnwwq1evwNs7D2PGfMbzz79ESEgoJ04cJzG4/OOP3/j775U8+mhDPvhgADNmzLZ6sQ/i5OSU5vIEBxfn6NEjBAUF2382blyfZl5ymTJlOXr0CJcuJU2xOHjwADdu3KBs2XKZXqeO9StaNAgXFxcuXYqy1ydfvvxMmDCWU6dOUrJkaY4dO8rly5ft04SlkdcuMk8CaiGEEELkODdXV7q268ipc2ftw4oXKUqNSiGMnPY5+w4dJCzsAB9+OIgLFy7g7+8PQM2adVi69E/Kli2Hp6cnlSqFcPLkccLDD1G9eg37OAULFmLkyOFERISzfv1afvxxLrVrP4yvrx/nzp1l06YNHD9+jFmzvmbVquXcvGkeARgTE8348Z/wzz8bOHnyBIsWLcTLy5vg4GJ4eZnnPR88eICrV68mWZ7WrZ8jLOwAU6ZM5OjRI6xYsYzJkz+jYMFCqS5/pUohlClTjn793mPXrh2cOHGc9evXMHToAJo1e5yAgIKZXqdeXt6cP3+OEyeO4+2dh5Ytn+HTT0exZcsmIiMjGD58EIcOHSQ4OJgaNWoRGFiYjz4aSnj4YX777RdWrvwr0/MUqZO+fiGEEELcFVUfrEjD2g+zYsOtvN33X3+Tz2fP5IMxI3B2caF69Vr06NHb/nmVKlVxdnYmJKQKAN7e3pQtq/D09MTbOw8ALi4ufPTRJ4wdO5JOnV4hf/78dOzYmcaNm2Gz2dixYxsDBvQBoEKFB+nWrSfTpn3OjRvXad36ec6ePcuIEUO4fPkSJUuWZtSoT/H1Nc/NbtGiJUOG9KdLl7eTLEtgYGFGjfqUKVMm8v33s3nggQJ06vR/tGrVJtVld3Z25pNPPmPy5AkMGPABly5F4e8fQJMmj9Gp0529rbBBg0b88ss82rZ9np9+Wki3bj2YNGk8gwb14caNm1SqVJmxYyfab6gcPXo8I0d+yKuvtqVMmbK0atUGrfff0bxFUk73+0PBY2NtCVFRV9Mf0UFAQF6q9Z6Z7XXZMrodZ89eyfZyxf0tICBvtr98odjAXdLWRAoBAXmpO6Futpa5tttaaWu57NSpSAIDi6cYnptvSnR1debK/uxPF8hbXhEXF5/t5QqRGWntcwABAXm3ANWTD5ceaiGEEOI+ZILbzL25UAiRMySHWgghhBBCiCyQgFoIIYQQQogskIBaCCGEEEKILJCAWgghhBBCiCyQgFoIIYQQQogskIBaCCGEEEKILJDH5gkhhBBCiHuWi7MTTs5pvwb+TiTEJ2CLz753sUhALYQQQggh7llOzk6cOXopW8ssGOwH2RhQS8qHEEIIIXLU8g1radrhJX7847fcrkqa2rRpycKFC3K7GuI+JT3UQgghxH3Ix88Nr7v46vFrN68TfenO3sy4YsM6ihQKZOna1Tz3+JPZXDMhcp8E1EIIIcR9yMvdk7oT6t61+a3ttpboO3jV+ZWYaLbs3sm7nf6Pj6dN4mBkOGWKl8yBGgqReySgFkIIIUSO+XvTRtxc3WhQqw6zfp3P4jWr7QH1ux8NpURQMJt37eDGzZvMnvsTS5Ys4bvvZnH+/FmCg4vx+utvUbdufQDOnDnNp5+OYtOmjfj6+tG0aXM6d34DNzc3Fi1ayMKFC6hZszbz5n2Pi4sLjRo1o1u3Hjg7OxMXF8fUqZNYtmwxFy6cx98/gFde6UCrVm1yc/WIfwnJoRZCCCFEjlm+YR01Kofg4uLCw6HVWLFhLXFxcfbPl/y9it6d32DIO+9y+vRpPvvsE95+uwdz5syjUaOmDBz4AVeuXCEhIYG+fXuTN68v06fPYtCgD1m37m+mTJloL2vfvj1ERBxm0qQvee21N5k373s2blwPwKxZX7NmzSqGDRvJnDnzaNGiJePGjebcubN3fZ2Ifx8JqIUQQgiRI85dvMAuvY+Hq1YHoG61mly6coV/dm63j1OjcggVy5VHlSzNyZMncHJyIjCwMIGBhWnbtiMfffQJbm5ubNmyiRMnjvP++/0pXrwEISGh9Oz5PvPn/2AP0G02G71796N48RI8+eTTlClTlv379wJQqlQZPvhgABUrVqJo0SDatu2IzWbjyJHIu79ixL+OpHwIIYQQIkes3LgeZ2dnalUOBaBC6TIUyJefJWtX24PsQv4B9vFr165D5cpV6NjxZUqVKk3duo/w5JNP4+npSWRkONHRV2jevIF9/ISEBGJjYzl9+hQAfn758PHxsX/u7Z3HHmw/8kgDNm3awIQJn3LkSAQHDuwHTBAuRFZJQC2EEEKIHLFi4zribDZad33NPiwhIYGN27dy6cplANzd3OyfeXp6MW7c5+zcuZ21a/9m5cq/mD//ByZN+hKbzUZQUDCjRo1LMZ+CBQsB4OZQluP8AKZN+5xff51PixZP8dhjLXj33Q9o06Zlti6v+O+SgFoIIYQQ2e7YqZMcCD9Ml5faEvpQJfvwM+fP0f/TUazYsC7FNLt27WDjxo106NCZkJBQ3nijK//7Xxs2bFhL6dJlOXPmNL6+fvj6+gKwY8d2fvzxOwYMGJpufX75ZR7du/emadPmAISHH7Y+yb6Xe4j/LgmohRBCCJHtVmxch493Hp5s2AR3d3f78JJBwTxYphxL1q7GyyPpc7Q9PDz56qsvyJcvP7Vq1SEs7ABnzpxGqQpUrVqdIkWKMnRof/7v/7py48Z1Ro4cRpky5fDw8Ei3Pr6+fqxbt4YHH6zI+fPnGDduDAA3b97Zs7WFcCQ3JQohhBAi263YsI6GtR9OEkwnatmoCWER4UQcP5pkeLlyin79BvPjj9/x8sttmDDhU7p27U6NGrVwcXHh44/H4uzsQpcunXj//R6EhITywQf9M1SfPn0GcvjwQdq2fYEPPxxEw4ZNeOihSoSF6WxZXvHf5pSYW3S/io21JURFXc3UNAEBeanWe2a212XL6HacPXsl28sV97eAgLwcGVop/REzodjAXdLWRAoBAXmz/UUfa7utlbaWy06diiQwsHiK4bn5pkRXV2eu7M/+QDRveUVcXHy2lyvub66uzpw5eilbyywY7JdmW0trnwMICMi7Baieoo7ZWjshhBBC3BXRl2Lv6M2FQojsJykfQgghhBBCZIEE1EIIIYQQQmSBBNRCCCGEEEJkgQTUQgghhBBCZIEE1EIIIYQQQmSBBNRCCCGEEEJkgQTUQgghhBBCZIEE1EIIIYQQQmRBrgTUSikPpdRupVQTh2EPKKV+VEpdVkpFKKXa50bdhBBCCJE1fceOZOS0z5MM+2fndpp2eInPZ3+TZPiilX/R+q3XSO/NzSdPnqBeveocO3b0tuPdieHDBzN06IBsL/dOXLx4gb/+WpLt5e7du5t69apz/PixJMNfe609jzxSk8uXk76JsFWrFvzww3fZXo9NmzZSr16KFw3e9+76mxKVUp7AHOChZB99DfgAdYEawFSlVJjWet3draEQQghx78vv44ar19179XjctetcjM7YmxkrlyvP4jWrkgzbvncPBfLlZ/u+PUmG7zt0kMqqPE5OTtlW1/vZ5MkTiIuLo3HjZtlabrly5fHy8mbv3t0ULRoEQExMNAcO7Cd//gfYtm0Ljz7aCIDTp09x9uwZQkOrZWsd/s3uakCtlHoQE0w7JRteGmgJlNVaHwR2KaUeBt4EJKAWQgghknH18mTVI4/etfk9unoVZDCgrqQqMGPe90THxOCTJw8A2/fv4bnHn2Tq3FlEXb5MPl9fAPYeCuOJBo1zrN73m/R66u+Uq6srFStWYt++PTRt2hyA7du3ERxcnEqVKrNlyyZ7QL179y58ff0oU6ZsjtTl3+hu91DXB5YAg4EYh+G1gJNWMJ1oDXBvXH8RQgghRIapkqVwd3NDhx+iWsXKRMfEcOhIJMN7vs+vy5eyY/8eHq1Zh5irVzl68gQh5R8E4MaNG0ybNoWlS//k8uVLVK1ag5493yMwsHCS8idPnsDOnduZPHm6fdisWV+zcuVyvvxyJtHR0YwbN5q//16Jh4cndes+Qrdu3fH2zsPWrZsZNmwg9es/yuLFi3j++f8BcPVqDEOG9Ofvv1fi6+vH66+/SfPmTwBw7tw5xo0bzebN/3DjxnVKlCjJO+/0okqVqpw8eYLnnnuKjz/+hHHjxnDpUhRPPdWaFi1aMnz4YI4ciaBatRoMHjwCLy8vhg8fjKenF2fPnuaffzZSrFhxevR4j5CQKkyfPpU//vgNgJ07t/PTTwu5fPkykydPYM2aVdy4cYO6devTo0dvfH397MvSoUNnvv76S27cuEGdOg/z3nv98PBIefUiJCSUjRtv9VNu3bqJ0NBqVKpUmZkzZ9iH7927i5CQUPtVg99//5U5c2Zy/Pgx8uTJQ8OGTejevTeurq4MHz6YPHl8uHjxAmvXrsbfvyDt2nWkRYuWgOkFHzVqBOvWrcHf358nn3w6SZ3OnDnNp5+OYtOmjfj6+tG0aXM6d34DNzc3Fi1ayIIF8yhUqBAbN2ygU/suNG3Ugh/mz+KPxb9y/fo1VLkH+b9X36ZIYdPr/tRzDXn+2bb8ueRXSpYozaC+I5k2YwLrN67m2vVrVFAV+b9X36ZgcKU7aNlpu6s51FrrqVrr97TWV5N9VBg4kWzYaSDo7tRMCCGEENnF1dWVCqXLsP+w6SfbsX8vxQoXIb+vHyGqAtv2mrSPvYfC8PHOQ6ngYgCMHDmCVauW07//EKZO/Rqbzcb77/fEZrMlKb9Jk2bs3r2Tc+fO2YetWPGXPU3io4+GcOlSFJMmfcmoUeM4ejSS4cMH28c9e/YMMTExzJgx2x74rVmzmlKlSvPNN3Np3LgZI0d+aM8rHjZsIDZbHFOmzGDGjNkULFiIMWM+SlKnWbO+4eOPx9KrVx++/342/fu/x5tvvs2YMZ+xfftWfv/9F/u4Cxf+TPHiJfnqq9lUrVqN3r3f4cKF87z0UlsaNWpKgwaN+OKLmQD07duLgwc1I0eOZfz4zzlyJJJhwwbay7pw4TzLly9l9Ojx9OkzgJUrl7No0W+pbpcqVaqitSYuLg6ALVs2ExpajapVqxMREc7582Z97t69y57usWPHdj75ZCSvv/4mc+f+TK9efVi0aCGrVq2wl7tgwU+UK6eYMWMWtWrVZsyYj+3rbvTojzhyJIKJE6fRvXtvvv9+jn26hIQE+vbtTd68vkyfPotBgz5k3bq/mTJlon2cvXt3ExxcjDEffU6NanX4/c+fWbFqCT269WHMR59TOLAo/Ye8y40b1+3TbNy0lo+HfcZrHbvy+58/s33nZgb2+YjPxkzHy8ub8ZNGprp+suKu51CnwRu4kWzYDcBdKeWktU7z+oeLixP58nnnaOUy416qi/h3k7Ym7hZpa7nr9GknXFzujYdyZaYelcpVYP/hQwBs37+XylYvdJUKDzFzwU8A7D8UZs+fvhITzZ9//s6YMeOpUaMmAEOGDOeZZx5n06YNlCpVGgBnZyfKl69A8eIlWLNmJc8++zwnThwnLEwzcuQnnDx5nNWrV/LHH8vx8/MDYODAobRu/STnzp2xL0Pbth0oVswE8k5OTlSo8BAdOrwKQKdOnfnuu285ciSSkJAq1K//CA0aNKJQoUAA2rR5gR49uuLsfGvbdOzYGaUUSinGj/+Epk0fo1at2gBUrVqdI0cicXFxxsnJiRIlStK16zsAvPPOu6xZs5q//lrCiy++jKenJzZbHP7+BTh48ADbt2/lu+9+okSJUvZ18uKLrYmMDMfFxRmbzUb37r0oU6YsSilq136Y/fv3prqtKlWqDCQQEXGIwMAiHD58kOrVa5A/f36Cg4uxbdsWGjVqQliY5v33++Hi4oy3tyd9+w6kUSPzHImiRYvy/feziYw8bF+e0qXL0K5dRwC6dOnKvHk/EBFxmLJly7FixTI++2wyDz5otn+HDq8yduwoXFyc2bRpIydOHOfLL7/BxcUFgF69+tC9+5t07foOzs6mh7x9+07EXDAnAfN/mctrHbsRUqkqAP/36tts2baRdRtW0/BRc0L1WJMnCSpqtu3ipb/h7u5OwYBA/Pzy0eW17pw8efy27dnJKfOx5b0SUF8HPJIN8wCu3S6YBrDZEoiKSt7hfXsBAXkzV7tMyGxdxL9fTrU3aWsiOWlr/04JCQnYbPG5XQ0Aez1cXdMPrCuq8vy2YhkA2/ftod3TzwJQuXwFjp8+xcXLl9h7MIwalasAcOzUKeLj4ylf/kH7fHx88lKsWHEOHz5M8eIlAYiPN+ujUaOmrFixnGeeacOyZUuoWLEy/v4FWbv2bxISEmjVqkWKOkVERODsbOpesGCgfT4JCQkUKVLU/r+Xl8n7vn79OjZbPE8//SzLli1m9+6dREZGoPV+AG7ejLVPExhYxP63h4dHkvLd3d25efMmNls8CQkJVKxYOck2LVu2HOHhh+2fJySYdX348GG8vfMQHFzCPn5QUDHy5vXl8OFD+PnlA6Bw4Vt19/bOQ1xcbKptxsXFlfLlH2T37l0cO3aMEiVK4uvrh80WT5Uq1di+fRuBgUXw9PSiZMnS2GzxlC1bHldXd6ZNm0x4+CEOHTrIsWNHqVq1hr2+RYoE2efn6eltXzcRERHYbDZKlixj/7xcuQqAWb7w8MNER1+hadNH7HVMSEggNjaWEydOEB+fgJ+fH3ny5CHmwiWuXbvGufNn+eSz4Tg73MR6M/Ymx0/eenpJoYKB9r+feLwV6/9ZQ4f/a8OD5StRs0ZdmjRobq9DahIS0o4t0zrO3isB9XEgMNmwQOBkLtRFCCGEEFn0YOmyXImJJiwinCPHj1G5vAmk/PM/QNFCgew+oNHhh+hs5TC7u7mlWo7NFk98vC3F8CZNHuObb6Zz6VIUK1b8xeOPP2mNb8PLy4uvvpqTYpoCBfzZZz1lxN3dPclniT2kjhISEoiPj6dHj7e4fPkSjRs3o27dR4iNjaVfv963nT4xcE9N8nHj4+NTHT95HW+NbyM+/lYw6OqaNJy73X2NISGh7Nu3F09PT6pWvfX4utDQasyZM5NixYonyZ/euHE9ffq8y2OPPUGtWg/TsePrfPLJx0nKdEtl2yW9ufLW3451tdlsBAUFM2rUuBTTFyxYCAB391v9rTarHfTuPoDgoBJJxvfJ4+NQn1vrrUjhIKZ89i1btm1k89YN/DhvFkuW/sa3s7/D1TX19Xsn7o1rSLABKKqUKuEwrJ41XAghhBD3GU8PD8qWKMXC5UspERSMX15f+2dVKjzEms3/AE72/OkihQrh4uLKnj277eNduhTFsWNHKFasRIryixUrTunSZVi4cAFhYZqGDRvbh1+7do34eBOsBQUFAzBhwlhiYmJSlJOeiIjDbN++lbFjJ9G+/as8/HA9e67xnQoLO2D/22azERZ2gNKlzRM1HB8fWLx4Ca5ejSEiItw+LDz861LWCgAAIABJREFUMDExMRQrVvyO5l2lSlXCwg6wa9cOQkNvBdRVq1YnMjKcnTu3J3lc3sKFP9O8+RO8/34/WrZ8huLFS3D8+LEMPY2kWLHiuLq6sm/fXodl1/a/g4OLc+bMaXx9/ezb6vz580yZMjHJCUMinzw++Pnl52LUeYoULkqRwkUpVDCQb7/7gvDIgynGB1i+ajEbNq2hTq36dOvSm3Gjv+Do8UgOHgzL0PrKqHsioNZaHwYWAzOVUpWVUh2Bl4GJt59SCCGEEPeqSqo8Kzausz/FI1Hl8hVYt3VzkudPe3l40qrVs4wfP4atWzdz6NBBhg0bSEBAQWrVqpNq+aaXegahodV44IECAJQoUZJatR5m2LCB7Nmzm7CwA3z44SAuXLiAv79/ppfBxycvzs7OLF++hFOnTrJixTJmzJgKwM2bNzNdHpgneMyZM5MjRyL47LNPuH79mv2GSi8vL06dOsnZs2coVqwEDz9cn+HDB7Fv3x727dvD8OGDqVy5CmXLqjuad6VKIRw9Gkl4+GFCQ6vah/v7+xMYWJgNG9YmCah9ff3Ys2cXBw+GcfjwIUaMGML58+eIjU3/EYp58vjw2GMtGD9+DLt372Lr1s18/fWX9s9r1qxNkSJFGTq0P2FhB9i9eycjRw7D2dkZD4/kmcDGM08+x+y5X7HhnzWcOHmcKV+OY/vOLQQVTf0E4+rVGL74aiLbdmzi9JlTLFvxB16eXnd8QpKWeyKgtrQDooCNwECgs9Z6fe5WSQghhBB3qnK58ly/8f/s3XeYXGX1wPFvCp1AKKFIaAoeEFG6CKhIr1IEBESqoGAIRfxJr9JrAJHeQRBQUESQKoKgSLXAoSMECBAIAqEkIb8/3rtxSN1hdndmd7+f5+HZnTt37h6yd2fOfe95z/vhJAn1l5f4Ah989OGEiYpthgzZi5VWWpmDD/4pP/zhzkw33fQMG/aLKSZXa665Dh988D5rrfXJRVAOOeRIBg9eiH33/RF77rkbc889iOOOO/lT/T/MM8+8/PjH+3PVVVew3XZbctllF7HXXvvRv3//T4y21mOVVVbjkUceZscdv8uTTz7BqaeexWxVX+711tuQ4cNfYscdt2H8+PEcfPDhDB68EHvttQf77DOERRf9LMcdd8qn+rkAM888MwsvvCgLL1zqp2stt9wKTDfd9J/oP73zzj9grrnm5oc/3Il99tmD/v37s/nmW7b7/33fff+PL31pGfbddwjHHHME3/72dyY8169fP4477hT69u3H7rvvzE9/ug9f/vKy7L//wVM83qYbb8V6a2/M2ecPY+h+u/DCi89xxEEnMNeck79Y2mDdTVlr9fUY9vMT2GPv7fnbA/dyyP7HTPj37ih9OquBeFcZM2bc+E8zKXH5n1za4bE8eOL2vP76Ox1+XHVvgwYN4D9Hdmy/y4UO/YfnmiYxaNAAVj1j1Q495r173uu51mSvvvoC88036WhaM1dK7N+/L+888emSyakZsEQwdmxrTMDsLEcffTjjxo3j0EOPanYo3Ub//n157cW3p71jHeZZcPYpnmtT+psDGDRowIPAJGunt8qkREmSVIe33h3T7pULJXWuVir5kCRJkrodR6glSZK6yEEHHd7sENQJHKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUlSh1t7x21Ye8dteOW1EZM897s7bmXtHbfhouuu7vQ4VlttBR544K8dftzx48dz/fXX8vHHHbOy4yuvvMxqq63ASy+9OMlz5557FkOG7Nau41xwwTnsvvsuEx7feedtjBz5xqeK6aWXXmS11VbglVde/lSv703sQy1JUjc0+2wzMf0MXfcx/tGHY3n7v+/X9Zr+/fpx3yMPsfk6639i+18e+jt9+vTpyPC63COPPMRJJx3HRhttSt++rTM+uc0232PLLbcG4NVXX+GQQ/bnqqt+0+Soej4TakmSuqHpZ+jPmT/+XZf9vCEnb1z3a5aOJbnv4Qc/kVC/9/5o/v30Uyy20CIdGF3XGz9+fLNDmKyZZ555wvetGmNP1DqXVJIkqUdZZdnl+eeTT/De6NETtv3t0Uf44ueDmWac8RP7XvX737L55huz+uors8km63L++WdPeG7IkN24+OLz2XffPVlzzVXZfvvvcN9990x4/u23R3HEEQez7rrfYKON1mbYsJMZO3bshOf/+c/H2GGHbVhjjVXYY4/v8/LLwyc89+yzzzB06A9ZY41V+c53NuWXv7x8QiL63nvvcuihB7D++muwzjrf4MADf8LIkW/wyisvM3ToDwFYffWVeeihvwNwww2/ZsstN2Httb/G7rvvwuOP/2vCz9lii40566xhbLLJemy33ZafiK8eDz30dzbbbANuuOHXbLbZBmywwZocddQhfPjhB8AnSz623PJbAGy99WbcdFO5+Lr77rvYbrutWHPNVdl55+9y//1/mXDssWPHcsopx7Peequz+eYb8te//gW1jwm1JEnqFAt9ZgHmnXsQf3vskQnb/vLw31l1uRU+sd9tf/kz1958IwcccDC//OWv2WmnXbn44vP597//OWGfyy67iLXWWocLLrichRZahOOO+xnjxo0D4MADf8Krr77MsGFnc+yxJ3H33XdyxRWXTHjtb3/7G4YO3ZfzzruU9957l7POGgbAhx9+wH77DWWppZbmkkt+yd57/4Rrrvkl11W13eeddzavvPIyZ555LueccxFvvfUmp59+CvPMMy9HH30CAL/5zU0svfSXueeeuzn//LMZOnQfLrzwClZeeRWGDt2dN974X/3yLbfcxMknn8Fhh/2M/v0/fZHAm2+O5I47buXEE4dxwAGHcNddd3DTTTdOst9555V/g7PPvog111ybp556kqOOOpTtttuBSy+9mm99azMOPPAnPPVUAiUZ/8tf7uG4407hyCOP5dprO7/GvacwoZYkSZ1mlWVX4P5HHgLKCOiD/3yMry67/Cf2mXuOOdlvlx+y4opfYf75P8Omm27BXHPNxXPPPTthn5VXXoUNNtiYRRZZlB13/D4jR77B66+/zrPPPsOjjz7MQQcdwRJLLMnSS3+Z/fY7gLnmmnvCa7/3vZ1YfvkV+dznFmPDDTfh6aefAuDWW29mwIDZ+MEPfsSCCy7EV7+6Krvuuju/+tUvAXj11ZeZeeaZmX/+z7Doop/lkEOOZNttt6dfv34MGDAbAHPMMSfTTTcdV155KdtttwNf+9rqLLjgQuywwy4sscSS3Hjj9RPiWHvt9VlsscVZfPFo6N903LhxDB36YxZbbHG+9rXV+cpXVvnEaHibgQPnqL4OZIYZZuSqqy5jww2/xXrrbcgCCwxm0023YK211uHaa69m/Pjx/O5317PzzruxzDLL8cUvfokhQ/ZpKM7exBpqSZLUaVZZbnkOHXYS48aN4+HH/8XCCwxmjtkHfmKfZZZcisefeZqzzjqD5557liefTEaOHPmJDhoLLDB4wvezzDILAOPGjeX5559jlllmYfDgBSc8/9WvrvqJ49e+dtZZZ+Wjjz4C4Pnnn+f5559l7bW/NuH5jz/+mDFjxjBmzBi2225H9ttvLzbaaG2WW255vv71b7LeehtO9v/zhRee45xzHv9EqcpHH33EPPPMM+Hx/PPPP8V/p7YR68l1DRk/fvwkI9oT/3uMGzftEpLnn3+eZ599mt///oYJ28aOHcuSSy7FqFGjGDXqLRZbbPEJzy2xxJLTPKYKE2pJktRpvrDY5+nXtx//fDK57+G/s+pyK06yzx/+dCdnXXkJm2y6OV//+jf50Y/2nlCj3KZ//+kmed348eOZbrpppzITd+Foq5EeN24cyyyzPD/5yQGTvKZfv3588Ytf4rrrfse99/6Z++67lzPPPI1bb72ZM844Z5L9x40bx5Ahe7PSSit/YvtMM8004fvpp59hijHOOusAAEaPfm+S5955578Tnm8zcYLdnvmH48aNY+utt2PDDb/1ie3TTfe/f9va4zRSltLbWPIhSZI6Td++ffnKMsty3yMPcv8jD01SPw3wuztvZduNN2WffX7C+utvxOyzD+TNN0e2q0vF4MEL8d577zF8+EsTtt144/WTJOSTs9BCC/Piiy8w33zzM3jwggwevCBPPZVcccUl9O3bl1/96kr+/e9/ss4663PYYT/jxBOH8fDDD/LmmyMnafu34IIL89prIyYcZ/DgBbnqqst5+OEH2/GvVBLvz3xmAf7xj8cmee5f//oHn/98/WUiE8e40EIL8/LLwz8R4y233MTdd9/FwIEDmXPOuT5ROvLkk1n3z+ytTKglSVKnWmXZFfjDn+5kwCwDmH+eeSd5frZZB/Dwv//FCy88zxNPPM5hhx3A2LFjGTPmo2kee9FFP8sKK6zEcccdxVNPPcmjjz7CxRdfMMlI8eSsu+76jBkzhuOP/xnPP/8cDzxwP6eccsKE+ugRI0Zw6qkn8o9/PMrw4S9x661/YN5552P22Qcy00ylPd2TTz7Bhx9+yNZbf5drr72KP/zhRoYPf4kLLzyX3//+tyy88CLt/nfaaqttuOCCc7jllpt45ZWXeeKJxzn++KMZMWIEG220SbuP06ZtdPzpp59k9OjRbLXVttx11+1cffUVvPTSi1x//bVceumFLLDAYPr06cPmm2/JRRedywMP3M/jj/+LM888re6f2VtNdSw/Ii5t74Eyc/vGw5EkST3N8l/8Eh9//PFkR6cB9th2e06+8By2335bZp99dtZYY21mnnnmdo+QHnLIkZxyyvHsvvvOzDzzLGywwcZss833pvm6mWeehZNPPp3TTz+FnXfejgEDBrD++hux2257ALDrrrszevR7HHDAfowePZovfGEpTjjhNPr168fnPrcYK630VX70o105/PBjWHPNdXjrrTe58MLzGDnydRZaaBGOOeakuiYgbrHF1vTv358rr7yUE044mhlmmJGll/4SP//5ecw551ztPk6b2WcfyAYbbMwRRxzM7rsPZauttuHQQ4/ioovO4+yzz2S++ebngAMOZZVVVgNg++135oMPPuCwww6iX79+7Ljj9zn11BPq/rm9UZ+p3U6JiIvae6DM3KlDIqrTmDHjxo8aNXraO9YYNGgAy/+k3dcK7fbgidvz+uvvdPhx1b0NGjSA/xy5dIcec6FD/+G5pkkMGjSAVc9Yddo71uHePe/1XGuyV199gfnmW3iS7c1cKbF//76880THlwMMWCIYO7ZjlvJWz9G/f19ee/HtDj3mPAvOPsVzbUp/cwCDBg14EJjkynCqf4nNSpIlSdLU1bsMuKTOM62SjyPbeZzxmXlYB8QjSZIkdSvTulf0tWk8L0mSJPVq0yr5+GZXBSJJkiR1R3XNZoiIFYClgH7Vpj7ADMCymblrB8cmSZIktbx2J9QRcQRwCPAqMC8wvPraH7iuU6KTJEmMHz9+kkU6JHW89iwmNDn1LOyyK/DDzPwM8CKwOiWhvhV4/lP9dEmSNFX9+vVv1wInkho3ZsxH9OtXfzvKehLquYCbq+8fBlbJzFHAQcBWdf9kSZI0TbPOOpBRo17no48+/NSjZ5Kmbvz48Xz00YeMGvU6s846sO7X15OCvwR8FvgP8DiwHHA58A4wd90/WZIkTdNMM80CwNtvv8G4cWObHE3Rt29fPnh/VIcf952XX+Djj13YRZ/Ut29f3vlvfYv4TcvYl0dNcq7169efAQPmmPA3V496EupzgasjYifgeuD2iBgBrAk8UvdPliRJ7TLTTLN8qg/5zjJo0AD+tPvuHX7c5e/+kytzahKDBg3gzB//rkOPOeTkjTv0XGt3yUdmHg/sC7yXmX8D9ga2AD4GdumwiCRJkqRupJ4uH+cDx2Xm0wCZeQFwQWcFJkmSJHUH9UxK3BxojeItSZIkqUXUU0N9CnBORJwGvAB8UPtkZj7bkYFJkiRJ3UE9CfWR1de1q69tvXv6VN/3m+QVkiRJUg9XT0K9aKdFIUmSJHVT9XT5eCEzXwAGA2sAbwIDgFer7ZIkSVKv0+6EOiLmiYi/AX8EzgMGAUcDj0fEYp0UnyRJktTS6unycQbwPGVVxPerbd8DHgNO79iwJEmSpO6hnoR6TeDwzGxLpsnM/wL7A6t2dGCSJElSd1BPQv0xMPNkts/PRC30JEmSpN6inoT6SuCMiPgypU3ebBGxNnAOcHVnBCdJkiS1unra5v0fcCzwV2B64CHKyonnV881LCLmoNRqb0Cp074MOCgzx3XE8SVJkqSOVk9CPSYzfxwRBwOfrV77TGa+24HxnEUpIfk6pYvIlcBI4MQO/BmSJElSh6knoX45Iq4GrsrM+zspng2AHTLznwARcSWl57UJtSRJklpSPQn13sAWwG0R8QalbvqqzHy4A+MZCXw3Iv4IDATWA37TgceXJEmSOlQ9KyVenZlbAvNQaqYXBe6KiIyIwzsonj2A1YF3gOHAq0BHHVuSJEnqcPV0+QAgM0dn5q+Ao4BhlJrnfToonsWAhyk11BsAiwAnddCxJUmSpA5XT8kHEbEi8G1gc2AB4A/AzsCNjQYSEZ8DTgMWycyXqm3fB26NiGMzc8TkXtevXx8GDpxce+zmaKVY1LN5rqmreK6pK3m+qat05LnW7oQ6Iv4DzAvcDvwM+E1mvtNhkcDywDttyXTlQaAfsDAw2YR63LjxjBo1uq4fNGjQgE8b4zTVG4t6vs463zzXNDHPNXUVP0fVlVrpvW1KsdQzQn00cG1mjqz7p7fPy8DAiFgwM1+sti1ZfX22k36mJEmS1JB2J9SZeU5EDI6I4ymJbj8ggfMy8/EOiOV+4BHgoojYl7LM+TnAZZn5RgccX5IkSepw7Z6UGBHfoCTQXwOeqv5bBXgoIlZtNJDMHAtsCLwJ3AH8GvgT8INGjy1JkiR1lnpKPk4ChmXmgbUbI+JYysIrqzQaTGa+DGzV6HEkSZKkrlJP27ylgAsns/1CYJmOCUeSJEnqXupJqJ8DvjKZ7SszhQ4ckiRJUk9XT8nHicA5EbEU8Ldq21eAHwH7d3RgkiRJUndQT5ePiyMCYE9gb+B94Algx8z8deeEJ0mSJLW2ulZKzMyLgYuntk9EXAHsk5mvffqwJEmSpO6hnhrq9voWMGsnHFeSJElqOZ2RUEuSJEm9hgm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNqKsPda2ImAH4EvBkZr5d89ShwBuNBiZJkiR1B+1OqCPi88BFwE+AfwJ/Ab4AvBMRG2bmPQCZeWpnBCpJkiS1onpKPs4EXgGeAnYCBgELAicBp3R8aJIkSVLrqyehXhX4v8x8HdgEuCEzhwOXAl/sjOAkSZKkVldPQv0uMDAi5gZWA35fbf88MLKjA5MkSZK6g3omJf4auBp4H3gZ+ENEfAcYBlzYCbFJkiRJLa+eEeo9gbOAO4C1MvMjYHrgZ8BBnRCbJEmS1PLaPUKdmWOBUyfadlmHRyRJkiR1I1NNqCPiTmB8ew6UmWt0SESSJElSNzKtEep7ar6fC9gVuB74OzAGWBbYAvh5p0QnSZIktbipJtSZeUjb9xHxR2BoZv6idp9qFPv7nROeJEmS1Nrq7UN9+2S23wd8uWPCkSRJkrqXehLqh4EDI2Kmtg0RMTuly8d9HR2YJEmS1B3U04d6N+BGYEREPAP0ARYDXgA26ITYJEmSpJZXT0L9KrAEsDawZLXtn8BtVUs9SZIkqdepJ6F+FNgkM3/P/5YdlyRJknq1emqoPwBm6KxAJEmSpO6onhHqm4E/RsQfgOcpCfYEmXloB8YlSZIkdQv1JNRfpCzoMqj6r1a7VlOUJEmSepp2J9SZ+c3ODESSJEnqjuoZoSYiVgCWAvpVm/pQ6qqXzcxdOzg2SZIkqeW1O6GOiCOAQyjt8+YFhldf+wPXdUp0kiRJUourp8vHrsAPM/MzwIvA6pSE+lbKJEVJkiSp16knoZ6L0ukDyjLkq2TmKOAgYKuODkySJEnqDupJqF8CPlt9/ziwXPX9O8DcHRmUJEmS1F3UMynxXODqiNgJuB64PSJGAGsCj3RGcJIkSVKra/cIdWYeD+wLvJeZfwP2BrYAPgZ26ZzwJEmSpNZWV9s8ysj0HACZeUFEvAjcl5nvdHhkkiRJUjfQ7hHqiFgZeAEYUrP5VCAjYpmODkySJEnqDuqZlHgacD5wQNuGzFwKuAw4o4PjkiRJkrqFehLqpYFzM3P8RNvP5X8dPyRJkqRepZ6E+jlg7clsXx14pUOikSRJkrqZeiYl/gy4NCJWBR6sti0LfAfYrSOCiYjpgOOB7YE+wK+AvTPzw444viRJktTR6mmbdxWwPjAjZRnyHYCZgDUz87IOiudEYHNgE2Dj6ucd0kHHliRJkjpcXW3zMvN24Pap7RMR9wDfyczh9Rw7IgYCuwMbZea91bbDKSPgkiRJUkuqtw91e3wZmOFTvG414H3gtrYNmXkxcHGHRCVJkiR1gs5IqD+tzwHPA9tExEHArMA1wIGZ+VEzA5MkSZKmpJUS6gHAosCewA+qx7+gxLh3E+OSJEmSpqiVEuqxwGzAdpn5DEBE7AdcFhH7ZubHk3tRv359GDhw5i4Mc+paKRb1bJ5r6iqea+pKnm/qKh15rrVSQv0yMLYtma4kpavIIGDE5F40btx4Ro0aXdcPGjRowKeNcZrqjUU9X2edb55rmpjnmrqKn6PqSq303jalWOpZ2KWz3Qf0j4ila7Z9AXgHGNmckCRJkqSpa5mEOjOfAm4ALoqI5SPia8BxwHmZOba50UmSJEmT1+6Sj4g4B7gJuD0z353KrjsAr37KeL4HDAPuoNRUXwLs/ymPJUmSJHW6emqoPwSOBT4XEX8Bbgb+kJmP1e6Umb/+tMFk5jvAztV/kiRJUsurZ+nxoZn5BUq/6EuALwG3RsTwiLigswKUJEmSWtmnqaEeCbwAPAE8BswHbNiRQUmSJEndRT011KcCq1KWFn8ZuIeykuGemflE54QnSZIktbZ6aqh3AGanTEy8GvhzZr7QKVFJkiRJ3UQ9NdRzAssCfwQ2BR6IiP9ExBUR8YPOClCSJElqZXWtlFh19HgMOCMilgF2p4xcbw2c0/HhSZIkSa2tnhrqpYFvAqsDX6eMbt8JDAVu6YzgJEmSpFZXzwj1w8CDlOT5ZOD+zBzXKVFJkiRJ3UQ9bfPmycyvACcC7wPLRcQcnROWJEmS1D3Uk1C/GxFnUPpQ/x34KzAiIi6JiOk7JTpJkiSpxdWTUJ8MrA9sTGmfNyel28cqwDEdH5okSZLU+uqpod4a2CIz/1Sz7aaIGA1cBezXoZFJkiRJ3UA9I9R9gTcms30kMGvHhCNJkiR1L/Uk1LcDx0fE7G0bImIgcCxwR0cHJkmSJHUH9ZR87EPpOz08Ip6uti0GPEmppZYkSZJ6nXYn1Jk5PCKWokxMXAL4AHgcuC0zx3dSfJIkSVJLm2pCHRETl4SMA26s/mvTJyL6ZObHHR2cJEmS1OqmNUI9Fmjv6HO/BmORJEmSup1pJdRr0P6EWpIkSep1pppQZ+ZdXRSHJEmS1C1Nq4b6Rdo5Qp2ZC3VIRJIkSVI3Mq2Sj4O7JApJkiSpm5pWycclE2+rOn8sDLwI9M3MjzopNkmSJKnltXulxIjoHxEnAqOBp4CFgMsj4sqImKWzApQkSZJaWT1Ljx8FrAusQ1nUBeB0YFng5A6OS5IkSeoW6kmotwF2z8y7qSYqZuY9wM7A5p0QmyRJktTy6kmo5wZem8z294CZOiYcSZIkqXupJ6G+DfhpRPSpHo+PiNmBY4E7OjwySZIkqRuoJ6H+EfAlyij1TMDvgZeAwcDQjg9NkiRJan3T6kNd6+eUyYfvAItWr03gj5n5cSfEJkmSJLW8ekaonwCOBq4GVgGeAW4zmZYkSVJv1u6EOjP3z8zFgDWAl4EzgBERcU5ErF5TWy1JkiT1GvWMUAOQmQ9k5k8o/afPAr5HmZT4YkQc4SIvkiRJ6k3qqaGm6uqxKbAVsCbwNHAMcBXwGeBEYLXqOUmSJKnHa3dCHRG/pyTKIygJ9IGZ+WjNLk9XS5Nf2LEhSpIkSa2rnhHq/wBrZ+afp7LP3cByjYUkSZIkdR/tTqgzc/d27PMak19NUZIkSeqR6p6UKEmSJOl/TKglSZKkBphQS5IkSQ0woZYkSZIaYEItSZIkNcCEWpIkSWqACbUkSZLUgJZMqCPi/Ii4q9lxSJIkSdPScgl1RKwJ7NLsOCRJkqT2aKmEOiJmAc4F7m12LJIkSVJ7tFRCDRwN3FX9J0mSJLW8lkmoI+KrwJbAfs2ORZIkSWqv/s0OACAiZgAuAPbOzLciot2v7devDwMHztxpsdWrlWJRz+a5pq7iuaau5PmmrtKR51pLJNTAocBTmXlNvS8cN248o0aNrus1gwYNqPfHtFu9sajn66zzzXNNE/NcU1fxc1RdqZXe26YUS6sk1NsC80fEu9Xj6YF+EfFuZs7axLgkSZKkqWqVhHp1YLqax/sAKwDfbUo0kiRJUju1REKdmS/UPo6It4D3M/PpJoUkSZIktUvLdPmQJEmSuqOWGKGeWGYe3OwYJEmSpPZwhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUnGkdaGAAAgAElEQVSSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA/o3O4BaEfE54DRgNeA94GrgoMz8oKmBSZIkSVPQMgl1REwP/A74N7AKMA9wYfX0j5sVlyRJkjQ1rVTysRKwGLBjZj6emX8CDgG+29ywJEmSpClrpYQ6gQ0y892abeOBGZoUjyRJkjRNLVPykZmvA7e1PY6IvsAQ4M9NC0qSJEmahpZJqCfjFGBZYMWp7dSvXx8GDpy5ayJqh1aKRT2b55q6iueaupLnm7pKR55rLZdQR0QfSqePPYAtMvNfU9t/3LjxjBo1uq6fMWjQgE8f4DTUG4t6vs463zzXNDHPNXUVP0fVlVrpvW1KsbRUQl2VeVxAmYj4ncy8ockhSZIkSVPVUgk1cDKwLbB5Zt7Y7GAkSZKkaWmZhDoiVgb2Bg4A/h4R87U9l5mvNi0wSZIkaSpaqW3eFtXXY4FXav+LiJZJ/CVJkqRaLZOoZuZ+wH7NjkOSJEmqRyuNUEuSJEndjgm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkB/ZsdQK2ImAE4A9gS+BA4JTNPaG5UkiRJ0pS12gj1icAqwFrAD4CDI2Lr5oYkSZIkTVnLJNQRMQuwK7B3Zj6YmTcAJwBDmhuZJEmSNGUtk1ADXwZmAO6p2XYPsGJEtFRpiiRJktSmlRLq+YE3M/ODmm0jgOmBQc0JSZIkSZq6VkqoZ6ZMRKzV9niGLo5FkiRJapc+48ePb3YMAETElsAvMnPumm1LAv8G5s3M16bw0teBF7ogREmSJPVuCzOZyolWqk0eDswREdNn5kfVtvkoo9RvTuV1loNIkiSpaVqp5OMR4CNK27w2qwEPZubY5oQkSZIkTV3LlHwARMTZwNeBHSmj05cBu2Xm1c2MS5IkSZqSVir5ANgX+AVwB/Bf4EiTaUmSJLWylhqhliRJkrqbVqqhliRJkrodE2pJ7RIRfZodgySp9bV9XkREr8kze83/qKT6RET/6uuiETFHZlofJmkSETF7RMxTfd8nImxn20vVJNCzAWTmx00Mp0uZUEuarJp2lbcCuztCLWkKvgTcFhHfBk4FtmxyPGqSmgR6WERcFhFzQO+4w2lC3ctFRL/q66wRsWREbFg97lP7Vb1LzXmxAvAKcHZmjvd8UEeqOc9mioivRsQabXdG1K3cC/wauBQYSllTQr1UNUr9G2AA8G2A6vOjR+ecdvkQABFxDbAMcBPwY2B8Zo6rnuvj7f7ep0p2rgI2AI4Fjs/MMdVznhPqMBFxObAiMBLYCHgbGJCZo5oamKYqIqYDZsvMkdXjh4B5gPmBa4EDMvPZJoaoLjLxZ0I1+LIbcAJwZmYe1LTguogJdS8WEf0yc1xEDKWMKmwHPE95MzwAWAg4LDNvaV6U6irVyOCgzHylZiRhX+BbwBzAb4HrMvOhZsWoniMi+mbmxxGxKXAhZZXc54DPA4cBMwF/A07KzPeaF6mmJCIWArYHzgMWBtYDjgG+CpwGLAEcD5wMLAvMn5nXNCdadaaav+fNgD6Z+etq+0qUfOJ+4ExgNJQR66YF20lMqHu5KnH6M/CrzBwWEdsBQ4DpgMeAjYFlM/PFJoapLhARFwBPZ+axE22fC9iLMlL9EvAH4ObMfKHro1RPExEXA69m5v5VydnBwOyUBb42BTbKzEeaGKKmICIWAO6j3NqfDfhxZp5W8/yuwFGUz5NZgT0z89xmxKrOFxEzUhLnLwG3U86N0cCcwGeAazLzhuZF2Ll6dD2Lpq2aQPA3YMOI2Ac4G3gE+A5ldPJp4HPNi1BdobqwOhW4rHq8U0RcHhH7A/Nk5qHALsAoYCfKhJOlmxawepIngW0i4vuUEqMngc0ycwjwBLByM4PTlGXm8MxciJI4AewaEVtHxMDq+fOARYD9gCEm0z1XVfLxAeUC6jlgKUoSvQDwXWBb4DcRsUnzouxcJtSCciU5L7A7cBHw08x8GpiP8kfhSGTPdwvlduxL1RveSZRzYg/gkojYE3gxM3ek3NL9EHi8WcGqRzkHSMrI9JXAbpmZEbEwsALlTpkTpFtQRExffXsX5Q7WPZTf4VURsWpEzEDJM+6qkute1Ze4N6j5ffYHyMzrgE2AaygDcj+nlHMdRJmoeFfXR9k1LPnoxSJiVsptuhHAQEqSNBpYFdiC8kfwcGbu1rQg1ekiYjbge8B5mflRRDwLXJCZR0fEbsAw4C3gmer7RzPzqeZFrO6sdvJSRHyW0kVmXuClzBwbEVsCXweWA17PzE2dBNt9REQA5wMrUbp+LE55z9irqYGpU0XEwZSLpz9n5p3V3/EWwK2ZeX61z8yZObqZcXYm2xP1MhHRv/rQ+jplssjswKPALym1sf0pIw1fAG4GjmhWrOoamfnfiDi7mqC6AvAOcFY18rAe5VbdQ5Tz5DRKe6yhTQtY3VbNROgADqR09Pgv8AClj/EfKe9BK1OSscuql/YFxjUhZE1Gze9xAcrF+JrAXMDFmXk68LWqJ/UBwKuUzxq7A/VA1Z2jeYGvUT47hkTEy5SJxn2BcyNieeDgtm4wPZUj1L1URLxAKfV4hPKGOAtwN3BWZj7WzNjUPBExL+WcOLL6uhdl5Pr2iLik2u2QzPxPs2JU9xcRDwAvAudS3ns2BAK4LTMPm2hfk7AWFRG3V99eCOxA6dDyNaBfZj5f7TMgM99p6wLRnEjV0ab0d1mtmLkLpcPL65Q5N3MAy/X0ycXWMvUiNYu17AG8n5k7V6MJs1AmJi4FXFatbrRSE0NV87wG7E+ZGAawNKW+FcpM/SdNpvVptNVaRsRXKSVmO2XmzVXN5RBKzeUBEbF17etMpltTRKxP+cxYLzOvoPSf/jllItrvI2I1gMx8p/pqMt2ztP097xwRN0bEMxGxT2a+VnWK+iFlovvylL/1Hp1MgyUfvUrNB9N0VLOyqw+vR4EfAOsAVwNvAH6I9QI1t277UX7ns2XmJdVzy1PeNNeOiEGUFmb7Ny9adUdtZWY1CdU4yrm2BPDX6hwcDZwWEWsBizUrVtVlLkqbzTFV/ez0wBn8L69YgjJJUT1MdbdhXEQsQukt/SvgYuDkat7NAZl5PTC8esnzzYizqzlC3Tu9AqwXEUtRJoyMoCyi8BfKErKnZOYDTYxPXaBayKXtwukY4K/A5RHx04j4bGY+SCkLOgLYHDjU0Wl9CvtGxIo1HSGeBN6ltOqcsW1F1spITKi7i4eA2aqR6D2B/8vMDzLzXcpdrSWbGp06Tc3F8UnA1VX3pxspucRfgV9HxFURsUk16b1XMKHuhTLzV8BmlK4NiwLzVUv8LkKZjGgy3cNFxLxto4YRsRNlidjbKAnNOsApEbF11Qv4q8CamXlSE0NWN1SVdxxCWSlvl4hYvHqvOYUyYe23EfGNqsXatpSuAL+oXuvnUwvLzH9TFgW7G/gYuCkiZo6Ib1DeQ64Bf489VdUlbAClXBRga8od7t0po9VbARdQuof1Cp7oPVxt79aImK364FouM++vmrDfC3wuIn5HWVThmsx8rVnxqvNFxJrAKxFxYrVpMGWJ+QMycwfgdOBtymztC4HlM/M9+wCrXpl5H2VJ6kcpXT1OiohNMvNyympqH1BGti6hLP5xTGb+1QlsradmDs6giFgWIDN/RJmA9jrlrsNfKRNNL8zM+/099lzVnYgXgaWryezzAf/IzPcpnaCGAUtnpgm1eoaafq/foizleznwl4h4NCI2oyTRvwXeBK7MzL2bFqy6ygOUCSObRsRbwNrUrIZZLQ27F2WUYVFgrWq7dfWqS0RMn5lvZuaelHacfYEzI+IcYEBmfosy8fXblPPw2CkfTc1S1bmPj4jlgOuAuyPiPxGxA2VUci1gO8qI5OaUiyP1fMMopaIfUi6Qn6+2LwWsmpmvNCmuprBtXg8VEWtQJofcWU0aeYUyeeCPlBrqQ4HvA4dn5pHNi1TNUI02DaacAztQbt1tkpn3TLTf54H/ZuarXR+leoqI+FZm/rb6fjNKGchMlAv6y4H/VO9TtshrYRHxIPAUZRLal4H/o9RSH5CZd9fs5++xh2m721B9dnwWGNM2p6aaH3E/pQ/1ncCPgW0z83dNC7gJTKh7qIj4FaUe8RzKcp9DgV0yc0TNPutSbs9tl5l/bkqgaqqImI4ysjCU0o/8OmCPzHy9qYGpx6i6xTxAqbc9IjPvqLb/lHJB9y5wdGZe27woNSU1idQXKCOS320rC4yy0uUJwMbALcDumTl8ykdTd1XTEepwyh2lpSi/82My88/V4MtpwMzAjb1xzo0lHz1UZm4FrA+sC1xLud26CZQ/jGq3e4HngG82I0Z1vbbffUQsGBF7AmcDswJ7U1atmw/4T0R4610douoW81ngPcpqiJdWkxOPB1YDnqCUnKkF1dRAf5dSArZmzXPPZuYWlM+ZpSkX5+pBImLziFi5SqbnBw6i3O1ej9KC986IOBcgMzegTEg9uWkBN5Ej1D1QlTR9XFM/vSdl5btRlBm4t2Xm2Oq5PwBp7XTvEhF/o/QbHw0Mq0YYpqPcxl2GcudiSGae1cQw1U1NZRW1tSldPOYCfgZckplvdHV8ar/qFv8ClB7TX6GUfJwP3FS7lLRlHj1PterhtcD7wM2UMtLFMvMHNftsRFnQZ3rgPOC4qq98r2NC3UtExAyUVYt+CNwAPE5ZDnQDYEU7e/QeEbEF5dZctHXvqCYcfQ9YiTJaPZ+3bvVp1JxPcwHfovSpHT3RPpdQSoz+BGxcdQxQC5lcglzNzdkHGERZHOxG4O7MHNOEENUFImIdYENKiUc/yoqYq2XmWxPtdyil/epCvbWziyUfPVhELBURR1W1iutl5h7AFymJ9P6UUo91TaZ7h5q2dzNSFl54v3o8XfX1bcob4som0/q0apKwbSmTk06rPpRrXUNplffzzHzXloytKyJWi4jdImIFSh38psBFwIrAT4GjImKBZsaozpOZfwT2pdy1HEFJqM+tVjWt3e9IYOHemkyDCXWPU61+RzXaeA2wPGXCyBURsTLweGauTplU8FZmPtGsWNW1ahKd/1Aupr5Tbf+o+vpbym29aEqA6hFqkuOrKWUC8wMHRcQJ1eqsbRanTJhWi6lpk7cG5cLnZErb1Yso7dDOobTHe5Sy8JNlOz1MRHw5Ik6JiNOARasF4YZQVs6dBTgwIo6JiAkrYk606mmvY8lHDxURIyhLRZ8TEftSVjH6DqVd3rGZ+WRTA1SXiIgBlNUvB1Mupv5dbT+CMkn1ZuDizHyiGnH4HbBSZv6jWTGr+6vmcYyn1FzOSCk1W59yy3gmSk3uzzPzaBf/aF0RcS9lJcTjKPMrjqWMUP4auCAzn4yIuTJzZFsXiCaGqw4SET+m9BWH8je8be1nQkQsBOwEfINyp/Mu4JTe/vs3oe6Boiz3+wtKPewcwJOUVkc3Vn1EH8nMXZoZozpfRCxC+QDcmDKCdDhlEtj4arb2TsDXgc9Tkp5XKfWQTlBV3SKif2aOrS7MdqAkYOOBP1D6Ti9CWY54YeDfmXla9Tons7WQmjZ5y1P6TJ+amffXPD8E2IOSaB2Wmb9sUqjqBBExH/AMJaG+vqa5waKUz4sFKCsi/i4iVgP2rB7/rFkxt4r+zQ5AjYuIzwFvZObb1aanqq9fobzx3ZmZN1bbrgNWqlYw+6iLQ1XXuhh4CVidssTzE1UyPYjS/uoM4EpKicfnKKMM2YxA1b1VSfHYiJiJUupxOXAZpYvMbsCOlIv6oyd6naPTLaZKpvsCu1LuKrxIWbSj7fkzI+JSShnIf5oTpTrRYZQOLr+JiD5VCdfnKXcllqScD29ExGKZeWpEPAT4N4wj1N1eRAym1LZdSalHfCIzP4yI4yh9Q+cDls3Mf1b730xZlWy3ZsWszhcR61MS6i+0tbaq6usPpowozEFZUGPvzLywWXGqZ6kWffhmZn6jetyPMiL9U8qH8Wa1rdbUeqoEalbKPJt1KUvC3wackJkPNTM2da6qderpwKuZeUS1bT3gKMrf8SHAb4HNKI0N1szMp6ZwuF7HSYndXGa+BPwS2IYy4rh9RMyXmftTFu3oS5llf35E3AMsRpmxq55tOeCGmmR6PsrIw6GUdlebAfsBP61m70sd4U1KJ4A2H2fms8CllFr+LzQlKk1T22TSzByfme9k5sXA9pT3iVkonR2OrnoTqweq2h8+C6weEctGxJrAWZRFe7am1M2/QulN/Qwwe9OCbUEm1D1AZh7G/1YcOxQ4pxqhPJ5yO/95Smu0m4Ct7PnaKwwH1oqI2arHRwAHUGbp75yZN1DuavyXcpEldYQRwGYRsWVbp4hq+/2UD+r5mheapqamVnbNiDgxIi6k3NG6gjIyeT2wCvDniFipeZGqk91MuYC6DrgVeAfYJTPvANrKgWYEFgRmm+JReiFLPrq56uTuW7Py4UqUN79lKB0bzs7Mx5oYopogIuYAfkXp7gHlwurX1TLBtftdC9yXmb1yqVg1buJJhRFxDmUk+ibgFkrN5Q6UJYvn7u2dAFpRW4eOiNgUOAZ4mtJz+nhgC8o8nLeqEcs1gEOsfe+5ImJeSr/xt4A/ZeaIiZ4/GVgjM5dtRnytyoS6G6v9IIuIuSlXi+9l5ohqIYXjKFeSlwI3Z+YjzYtWXaVmpbpvUuofPw9cBdyRmW/W7LcSZSLi0pn5TFOCVbc10fvP7JQa6ZGUUeoDKKOZg4DPAn8HzsrMK9u6gTQpbE1FRDxFGYQ5OSL2pExMXJfyWXJ3Zl4QETNl5vtOKO2ZJvd7jYgvUdolzkhZXXlDYIvMfKAJIbYsE+purGZUYV9Ka7SvA49QZl6fmpl3R8T+lDKQkzLz0CaGqyaYKOmZgbKYxnBgVcrt3IeqFTSlutS0yduV0md6HmAgcCdlEuLbwGeAuYEHM/P1pgWraaomuF8N7ELpFDUC2Cszr4iIi4HBmbnWVA6hHmIyd52+DVwAfAg8DFyUmVc3K75WZULdTdX0Cl0CeAjYB/gbpffrasCylFnZV0fEwpSRa1ez6iUm19u36g+8L7ACMJbSH3g3b8Hr06pGpt+ktOd8krLIw0GUdms/qlbUUzcQEdMDf6G0R5sL+BKwTnW3a33gSGDDzHytiWGqSSJiLmABS0inzIS6G5po1PEkYN7M/F7N84tQPtQ2oCwT+7yLJ6hqm/ddyiSTFykL/IxpblTqjia6oD8Y2LFmHkc/YHfgB8AmVZcPtZiImJXSn37mzPxvtW114FTKwMxumXl+RMxJWShs5szcuFnxqmvUlAxO6PoymRFr84nJMKHu5iLi/yiTB9bMzPdrtn+G0jt0x8z8W7PiU/PUviE2Oxb1PBHxBcqI5vTABpl5V00ZyKKUSYmHZuY1TQ1Uk4iIHwHfAr5ImTh6eWbeEREDKC01v0upfwcYR2mP9s3MHG7tdM9S+/uMiFkz892ImK3tIkvtZ9u8biQiVomI7aoZuG3+TqlR3KymRRpUIw+UW3fq4dqS55rH/at+suOrTjCT7CM16EXK4kHvA8dFxOJto9SZ+RzwEfapbTkR8Q3gaEoXqJMoS8IfHhEzZuY7lHaauwLDKMn2BZRSj+HVvB2T6R6iGmn+uFoRcT/ggYi4Bbg0IlZpdnzdjSPU3UhEnEtprv5LSteGBykfZqcD3wMupIwKDQDWpIwoRHOiVVequQW/DaW7wruUi63r22qkHVlSZ4iIoCRom1Leg16ijG6ul5mLV/t4i7hFRMTTwJVtk9QjYiCl3/CdlLrpAC5zEnvPV9PY4DRKU4NjKL//Q4EVKbnEY9WFlqbBhLqbiYgNKJNDBlBmZF+amU9HxEbVdii9h+8Ejnep2J6vJplekTLR8DnKbOwxwL+AX2bmvc2MUd3fRHM3VqAk0KMoF27/pNTdnkjpgX87MCQz0zZ5rSMihgD7ZeYiVa37DJk5OiLuptzR/CulS9SBlIVcvu88i56tuuP9D2DTzPxL1dFlAPAjyt2KazLzF00Msdswoe4m2q4kax7vRGm6n8DlwMWZ+WFELE6ZdPZOZr7XnGjVDBFxJvBRZu4bZanx7YHVKatk3k15Y3yiiSGqG6sZzToU2I6STM8BjKbUUg+jdPrYDfgZ8BpwQLUqp1pARDxDSZg3qZmIuALwJ2D1tr7CEXEc8A3K3JzRzYpXnS8iFqMsJb455c7SLcBXqovh8yhlo9/2DtO0WUPdfbSNDE0HkJkXUeqkZwIOA66rRq9HZuarJtO9Q1tddLVIyxhKEkN1DpxA1Wsa2Aj4v2bFqe6tGp0eFxHzAD8BhgJfrUo6TqLcLr6A0gnibMpKiXcAv4mInzQrbv1P9bu7ilLbfktEDK2eOhk4LzMfqJlncTMwKy4t3Rs8S1kZc0vgXOCczMzquccoveTNFdvBf6QWFxEzAVS39PsCbQnUIcCbmbkCZdWi/sDPgdMjYsFmxauuVTNqsB2wF7BtNVO/7fmHMvOnlJXOzmpCiOoBas6z1Sgfsn8GPq6euwz4GmVFzq2rba9l5hBgOeC8Lg9Yk6j6Rx9BeS+4D9g6Iv4BLE+58Ib/5QT7AP/OzFedzNxzRcRXqnk1VwFDKF1f7omIz1clhHsB17lWQftY8tHiIuIiyq3Vo9sWZomyzPhTwM6Z+ZuafbcFdsrMtZsSrJqm6hW7DqWOfh5g/2qkUOowVau8W4BtMvOeajGQj6tWeVcDz2Tmgc2NUpMzUQ38nMBalBV2VwTuBc7MzIer7g5/AubLzJFOZu5Zakq3dgS2a1v9Msry4mcCC/G/u9/3ZOZ3mxZsN2NC3cKqN739KSvbTQdckZlnV3VN8wPfqkau+3kF2bvUTETsS7k1O0tmvlLN2P8xZYTpOcpqdXc3M1b1HNUEpuuAOSlJ9aPV9n7Ao5TSgWF29egeqn7h6wPrUW7t30iZe3FVZh7ohNKeIyK+CLyYmW9XjzcBTgNWyMyRNfutTVlJdyTwbGa+24x4uyNLPlpYZr5JqY8+DngE2DEi/gzsDOzV1j+S/9VX+/vsPdqSlcMpnT3+FBGnU0YLD6FchD0G3FXN7JfqVtPDvF91ETeCknw9Dvw9In4XET+ndBUan5nDwMWEWl3Nok/PZeZZlFKQ6ymLunxcc5fBgZoeoCodPQU4JyI2rDbfRGm72zZCPQAgM2+ltMp7zGS6Po5Qt7CJbtHNA6xNuUW3EmXSyOltXRu8Ldd71Nyy+ybwe8oow0uUfuQvAGdk5mnVvmsB9/vGqHrF/1Y97EvpS7sBpa3aL4CXKe3x9qRc3P0VuDEzH3dUs/VFzfLSNZ8xMwFrAM9n5r/8PfYcETEj8APKHIi5KQN0p1MmF29MKSv9iFLu8QawALB4Zo5qSsDdlAl1i5v41mnVFm8DYF3KH8b1wFme+L1PRNwD3J6Zh0XExsCplBaKPwSeoLRCOtsPRdUjIvoDn8nM/1SPz6NczN9O+UCehzLa9fPMfNPEq7VNqfwmPrnktCU6vUDVIm8Lynyb/1JKt5YB9qZ0dBlNKSH8V2be0qw4u6v+zQ5AU1czetAny1LST1W39v9GqX3bDPhGRGxkA/7eo7o99y7w72rT+pS2ZT8HlgS+DcyemWc2J0J1Yz8EtoqI84G7gMWBrTPzfpiwOMgxwPYR8TPKEtZvNilWTUXN3aw5KJ8VA4DhwE1t/aVr5mOYVPdQETF9Zn4EvJCZx0XETcD3KYvA9at2O8O5WI2x5rabmExifR9wAmVxlxNMpnu2iNim6rAAQJalYMcAq0fEYGBe4KVqsYarKP1Ev9GUYNXdvUpZ/GMX4ChgRmD6tieri7Q5KN0+LqL0r1ULqkmQzqPUSe9HKdM5IyLWrfZpa39oMt1DVck0wMURcRTwdmYOpfSUv4Hyt/6LiNgU/ldjr/qYULeYqi52Ss/1myixfjczr83M27suQnW16s3te0BUj2epntoO+A3l1t3S/H97dx53+Vz/f/wxYwaDyFcSsrY8KWUSX7so2siSKaTF2mLLNyFbESORLCVL2ctSpFKINIiyhGzxRGPpZ0uLLctg/P54fU6d72T6NjPXdX3Oda7n/XZz6zqfz+dc17vbnNs5r/P6vN6vVw1wgbo9v3hnElrEjLB9DtWT9hzq9u94YB9Jy3dd82LTZ/p1wEmQD+Fe0zX0aTw1eOcdwMrAmVS54J6SDpH0tvZWGUOl+dx4kvp8+KakbYEbqUz1icAyVClIvlzNpNRQ95Bm0uHpwKK2n20yj0tQdU6/sP1Mc92/bCiJkUHSIlSZx0TbhzXH5qKm0i1A9ZOdAKxm++bWFhrDTtNycTuq9+zVTV3+A1RXj3dTHQEmAd+1/WDX8/I+1MMkTaCCqN39z3HjywBbUAH2/MD2eb8YGVRTdXehEjR3AKfYvlTS4sCLth9odYHDWALqHtJsGLicmi62GXUrdWFqB+48VJCUWsURTDV6/kvAZ4CHgD1sXyDpjcDngPmA822f0eIyY5iSdDjVw/wu4BW2F2mOr0N9UXsT8Ai1QfHUrlvJ0YMkrUl9CZoKrGH72mnOrwusbHtiG+uLwdVVH/8vG4clbQbsR9XVXwQcZvvuNh2L9EAAABkhSURBVNbZLxJQ9xhJC1Av8N9TY3wvBi6h+r4eRXX4OK6poY0R4OUygJIWpmoit6WGMexh222sL/pH0+FjY+D7VA/i/TvBlqQ5gA8CG1AbFT9q+8621hr/N0nzAWtTtdMrAQfb/vJ0rk3r1T7UdAa7DDjA9gnTnFueKhucRM22SHvVWZCAuod0fZvcD1jF9vrNGNgLqUEdCwOnAVvavqrNtcbQmKa11duBd1GBzgXUJMTlqC9a44EzgB2AF3ILPmZWM4J4e+BW6kvbVOBzts9qzq8OvNr2ee2tMqZnmt7Sr7D9pGpE/E7AXtRY6Z1s/7jNdcbQkCSqxGNd4FFgX9uXNefmofZAHG37ytYW2SeyKbGHdGUHbqcaq0MFS8fYvgu4jhrg8dYWlhdDTNJcXcH0rtRu7AnULv3LgIOAO22vTr1hLm77+QTTMaO6JiKOamppd7d9PDVE6hzgVEnXSNqDmtz6i871ba05/lVn47qkJSWdAPxM0inAgra/DryNanN4nqSrmjsS0ceaO5f7UJ8b9wLfk3S6asT4fsA6CaYHRgLq3nQF8JikScBi1HhpqIlkC1HN16OPSfoYsJ+kZZvd2bsCuwFr216SqpfeErhQ0ittn0j1oo6YYV1f5neX9H3gCEmbUK0Yd6EGujxC9ai+vMl6js6Xt97S1Sbvu8DbqU3KKwDXSToAeMj2DsA6wAnNJMx8Kepzth+zfTGwJ7AHFVf8nNps/Mk219ZPElD3gE52qPl5Ptt/Ao4H5qJu6+8p6bPAKcBU26e2stAYSosAW1GDWrah7lq4M4zB9veoXdqvAjZsjqX+MWZYJ0spaXPqA3cs9fr7CnC0pFVtX2d7Q+Cttvdtb7UxPV1t8tanatxXtb0XNVL6aqo2/jpJ2wA35HOk/0zvjkPntdF08DiT2gexFLBRSrcGTgLqlnXVTc8uaXcq47iR7TOpTg43AqtSt2weAj7c4nJjiNj+KpVZuo8Kct4DbCVp3q5rnqA+KNfs/lIWMSO6dv8fQm1c2gT4FfBKYEngKEl7S1rD9lOd11q+wPWWrrsFbwGusD1F0rupOwv7AodTey2+Q7VCnPZ5MYxJ2h84RNJi09516LTZbX6eSiViHrN9/9CvtH+lfqp3HEftwj4HuLnZnb0Qlam+jfryk/rYEaB54xtt+yFga0krA3tT48Qfl3QuMLm5/A3AVQluYlZIWo4KvM5sWjOuQnWG+B3Vaehz1PvTlXmt9Z5pOgH9HthO0oLA8lTd7ANUQuZHwFdtX9PKQmMwPUqVc2wATJT0U9t/65zs2qi6GNUm73Qg7RIHULJaLWuy068DNgE2sH0AlUX4BbUJ7Xpgc9tTEkyPGKNsvyhpXLMx8RrbG1FB9QSq9Oci6vXxNJXBjviPSZp3mizWndTUw42p959RwMO2b6VG2Z9BtWhE0mxDvNz4PzQZyFdI2tH2T4DDgNmoTCS2H6cGhK1M9uD0JdvHAHNTscOpwA8krS1pzs41TUnIBGBp4NhWFtrHElD3htdTWYRxktYGvkplFBYEvgW8MxtHRoYm09TJAH4RuFrSjyWtbvt0Ktg5j5qguRQ14SwZw5hRb6epvZf0cWpa3mZUYD2FGkN8XXPta4EnO0Oluja+RW9ZFdhJ0sq2j7f9MLWRfYKkvajx0jfYviWfJ/3J9ku2d6JiilHUDIujms3to5vjewIHZUjcwEtA3Rt+BfwF+Ak1QvoKYNcmq3A/sEyy0yNGp33ZAdSmxHOp0p9zJR0NLGz7QOqW/Gm272lroTGsrQCcIOkHwJHA3LYvpd57XqIms+7XvA7XB46G/72BOnrOddS/39mSVmyO7U/dXdiKStps1RxPQN3HbE+2/S5gI6qTxxVUIL0nMGV6w31i1mSwS49ohnasRbU1OqsZJT0W+BlwqO1vtbrAGFRNxmhUUwI0H9XdZXPbFzebTTalxooDHEFlmi5vZ7XRDyRtSt0afo4KvH5JdZJ5oek3vWlz7gzbxzU9jpOd7nGSjgXeSE1PvV7SOGoY1Gjbz2Yi4sgj6fPAl6iSkE0y1GdwJKBuQeeDSdKyVKP9twPXAJNsP9pMIjuI2mF/te0t2lttDDVJ61A78t9BvQGeSDXgvwl4kBpNf5Dtg1tbZAxbXZ2FFqJeW7cCWwB3UZNYL7D9Z0kr2v5t1/NG5U5Z75A01vbzkhaz/ceuf9e5qC9KT9neuu11Rm9oXhdbNDMLYhAkoB5iXW96/0WVeoymOjasBfyN2qX7E2BNatf95KY9WvQpSUcB37V9XfN4Aarp/oHUBqJPAEfZvk7St6k612M6Pakj/lPTC4olLUV9iV+LGgbyS2qy2tbdQXX0HkmXU4mZs4C/UxuWn6E6Rl0IfL5J1OQLUcQgStu8odd5Q/s6YOoD6/GmNvFgqt5tF9vfhIz27XeS1qX6jU9sHo8GngS+BtxNbT5cFfhs85S3ANclmI6ZNBp4sSn32AoYR2Wt7gG2lLQqNdDlM8AdCaZ7T1MOuDrwO9s3UpuXl6SmH85FBdbXA3cAH6NmGRyZYDpicCVDPQQ6mYGuUo95qJZnZ9s+QdKYznAFSROBd9lepdVFx5CQ9Adqc+EBL1ejKmk14CRqutWywFq2F2lhqTHMdd0dW4wq8ziWukt2KbAeVV50VVM+sDTVNu/p1E73Dkn7ANtT+ynmo94bdrT9XHO+UwbyPmoPzgrURrQDbB+SLHXE4MmO7aExD1S7qebD6SmqCfs6zfEXukaGXgLM2WQhoo9J+h9gdurORPfxbSTND2D719Rdi09QG8Q+PtTrjP7QtRHtYOBntr9ATdr8CjXw41DgVEmvaLoEdMbcJ5juAc1nwr5UKdh7qA4OHwQ+2XXZSwC2LwTOt70/sCXVenW+BNMRgycB9dA4Q9IPJb2268PpPGBDScdKWrRr/O/rgPlt39nOUmMoNF+gDqTKe56XNEfzhWsVajTwQp1rmxZHywHb2v5FOyuOfiBpduApan8G1Je1NakvamvyzxKj6D0nA2faPtH2tdQEy4upMjDgn2Pkp8lEPw6sS/37RsQgSQ31IGt21l5AZRKulHQS1aHhbElzA1sDl0r6DdW9YVXgC60tOIbKgdQt2T9Kmrdr4+lRwOG274B/1FSPSs10DATbUyRdCZwuaQL1GtzC9iQASc9R70PRQyRtRAXO6zePZ7f9XFMy9m5JnYz1M1QpyIKSDmo2Ov+VKuX5aUvLjxgRUkM9BJpspIAPUO2pRgFftn1OcxvvfdQtvHuAi2yf39piY0g0H5ATqTKO84ATqNfHl4DxmWIVA+Xl6mabGtvXUXs5nqImJW4NfMz2kkO+yPi3JE0GfmB7z65ji1CtDp8G/kzdcR5FBdVP2E5GOmIIJaAeZN0fZk1GegXgw1TwdBOwt+3bWlxitKTp4LIvsC3VOnE8cJjtr3Rfk7rHmFldGxFnozazrQlcbvuE5vw8wD7A56kNihNtX9q9UTraJWll4DdUG7wzgd/YfljSj6g9GF+mpiROBcY1G0k7/+5jgKkZ5BIx+BJQt0DSglTbo49RE60OpwYqjMoGoJGn6bqwL/VF6yLgu9SHZrLUMUu6OgsdA2wC3EBthr4d2Mv2JU1Q/Tbgdtt/bnG5MR2SVgIOoDr9fB94oHn8ZtsPNtd0OnxkEmJECxJQD6Fps41Na6rdqVuv709GaGRrJmROBF4LnAucT/Wcfq7VhcWw1NWu8/XAzcA7muFAPwWWB15DlRt9EbjP9jMtLjf+A5I2B/YClqEG8HwG+MN0NiNGxBBKl48h1FX6Mbp5PBn4NrAU1cUhRjDbV9lem2prtgE1Pvg1rS4qhq2uwGpD6o7HdZKWBeYFNgY+CkwAfk/dLYseZ/ssqjTsC8DSVC/xj0pavDmfYDqiJclQt0DSvNRu7XuBNYCdbS/e6qKip0gaB2xm+5S21xLDm6R3AYdRm58/AKxIlQtADQY5GTg35WbDS1Mq1hkXfwNwvO2L211VxMiVDHU7FgF2oCaUbUptFor4B9vPJJiOAfIHasPhgsCrgQVsP0R1hlgMeKSpsx7V4hpjBtn+o+1PUD3E3wi8suUlRYxoyVC3RNKiVL/Xp23f3/Z6IqI/dG9Ka/oVT+k69yVq8+vWwDbA2raXaWelERH9IwF1RESf6GqXNg7YiaqNfgi4nhowdTPVJWI9Kmu9j+2r0iZv+MuGxIh2ZVJiRET/6ARUJ1IbnX8MvApYCVgZ+I7t90p6AzX84xH458jqGL4STEe0KxnqiIg+0NUmb2EqkN7J9rXNueWB/6EGu2xs+5YWlxoR0XeyKTEiog90ZSjfB8xJbX7unLvJ9lbAX6g2ehERMYASUEdE9ImmH/EHqe4de0tadZpLrgTePOQLi4jocyn5iIjoI5IWAt4PfAR4DPgt1aJzfuCbwOG2T8iI6oiIgZMMdUTEMCZptuZ/l5L0dmA+2ydTY6nvooa5/Ao4BjjP9gnNU9N3OiJigCRDHRExTHW1yXsV1RbvTcAdwCXAqbbvkLQysB01/ON+4AzgknT2iIgYOMlQR0QMX52MyElUecdKwNXAZ4EjJe0M3GV7e+BYYA5gH+AISWNbWG9ERF9KQB0RMQx1tckTsCLwadu3U0HzOcC9wKHAeZIOt30WsDtwGXCN7efbWXlERP/JYJeIiGGoCaZHA2Op7PSoJrheEDjQ9vVN/2mAy5vn3Afs28qCIyL6WALqiIhhRNIYagribbafl3QvlY1eDfgj8Dzw9+by3wKP2f5J57mpnY6IGHgp+YiIGCYkfRD4OdUG72FJO9p+CtgGuBAYB7wXmCrplcCmQGda4ugE0xERgyNdPiIihgFJcwL/D/gOcBvwBmA3YBfbJzbXLNycn58q/bjf9rvaWXFExMiRko+IiOHheOAW218AkDQvMB54h6STgZdsPyTpG8DqVA/qS5prZ7P9Ykvrjojoe8lQR0T0OElvBm4EVrB9q6SxTf3014CVba/Z8hIjIka01FBHRPS+Y4BJtm8FaILp0cC21Djx7omJmYAYETHEElBHRPQwSYsAU4FXSfqapKWbU1+lpiKeA9Ap6bCd244REUMsJR8RET1O0nhgPeA91OCWy4FdgVVt35Ia6YiIdiVDHRHR42z/DjgSOAi4BtgQeApYsjn/IlRrvJaWGBExoiVDHRHR4zpjxpuf5wfWoYLq5YDfA0fYvrHFJUZEjGgJqCMihiFJS1FDXN5DZaovAva2PbXNdUVEjEQJqCMihpHubHXz+G3AFsBdtr/d3soiIkauBNQREcPQNGUgc9h+btrjERExNLKBJSKix3T3kpa0gKT1mtrpzrHR3dd2gmlI27yIiDZk9HhERO8ZDbwoaXtgF+BJ4BPA3yTNbnsKJBsdEdErUvIREdFDOkGypPmAB4CdgWuBx4EJwAeBy2x/scVlRkREl5R8RET0kK6M8w7A72yfDDwIHALsB9wMfFrSh1paYkRETCMBdURED5C0lqS5u+qnbwdGS9oKuBgQ8GnbOwG/AJZvZ6URETGtBNQRES2TtDwwEZitKfcYA/wGGAvsDcwJfBw4t/MU4JnmuaP+9TdGRMRQyqbEiIj23Q7sY/sJSWtRw1qOAVYFFgPuBxYFPiVpdWAB2xNbW21ERPwvyVBHRLRI0ly2p9i+ommHtyqwKfBNYEvgedsvAusC2wBTqGw1ksaky0dERPvS5SMiokWSNgY2BD5FdfC4lspK7wC8DrgJ+KHtCyTNY/up1hYbEREvKxnqiIh23QIsBdwHnAksbfsK25sDRwOLA/tIOhRYEVI3HRHRaxJQR0S06x5gC+Bp4FngG81AF2yfDnwYOB/YBHhrczy3FiMiekhKPiIieoCkHYA7gfcCH6I2Iu5j+4rm/GrADbafzYTEiIjekoA6IqJlkmYD5m66fMwOrA1sB6wBXA+sAuxq+3vtrTIiIqYnAXVERAuaDh0vSHo/sBswjhrg8kPbN0uaH9iAKvWY0tRUR0RED0pAHRExxDolG02bvEeoGukngY2pso+fAOfYfqi5fqzt5yXN1rTQi4iIHpLBLhER7TkYuMv2NgCSNqMmIO4GrC3pNuBEqp6aBNMREb0pXT4iIoZYV3Z6ASo7jaTPAj+1vSFwPNWbehXgpWxAjIjobQmoIyJaYHsqNXJ8M0lLUL2oJ0saC1wCXAkcbPv+JviOiIgelTfpiIgh0gmMJa0n6TjgPGBP4E/AeGCs7eeBhYAFgV/DP4LviIjoUQmoIyKGSFdgvBsw2fY9wCTbzwA3AuMlHQMcB5xue0rTUi8iInpYAuqIiCHQGRcuaRNq4+GUptvHlOaS7wFTgUWBs2x/FbIRMSJiOEjbvIiIIdRkoD8DPAh8ArjK9rPNudmBUbafax6nTV5ExDCQgDoiYpBJGm17qqSFbT8k6c1UO7zxwDepEo/7mvrpiIgYZhJQR0QMAUkCLgBWtP235tgWwFFUCcihwPdtP9reKiMiYmakhjoiYhBImkfS3F2H/k695y7YOWD7TNuvBs4AvgFMGNpVRkTEQEhAHRExOM4HzpK0vKQxwEPAvcC6Ta9pJM0JYHsvYB6q9OMfGxgjImJ4SMlHRMQgkLQOVc6xJHA0VSu9JbAflZFejdqYuDgwF/BR279uZbERETFLxrS9gIiIftO0w5sEvFXSJ4HDqHKOU4F5gdmBc5qfrweeTzAdETF8JUMdETEIJI2x/ULX4yOBXZqHu9k+4mWeMzpTESMihp8E1BERA6zJUL/U1EIvA9xr+xlJ8wPHAJsD3waOB25Ju7yIiOEtmxIjIgZQM4zlJUlvoqYfXgXcLek8YCPbHwHeCawP/JyU3kVEDHvJUEdEDAJJNwB3U1noccDGwFuBS5uuHkj6b9vXZiJiRMTwloA6ImKASVoNOIUa4vJEc2xOYFuq88c2tk9rb4URETGQUvIRETFAJHXeU5+n3l/f3Byfzfazto8BfgYs0dISIyJiECSgjogYIF0dOv4A/BXYQNK4aco5HgeWHvLFRUTEoMlmmIiIWSBpCWCN5r+zgctt/1XScdTkw9UkTaSy1ktS/ajXap6bNnkREX0gNdQRETNJ0pJUJ4/5qGEtp9k+qOv8G4ADgA8ADwOPAT+wfWiC6YiI/pEMdUTEzDsZMHCg7Xs6B5ux4wL+BGwH/BfwaqoU5IkW1hkREYMoGeqIiJkgaQ3g+8AKth9ujs1LZaR3pvao3AlcYfuTXc8bZTtvvBERfSSbEiMiZs5iwG3AFABJiwAHUePFTweWBXYE3i3p050nJZiOiOg/KfmIiJg5twILA8tJmgwcAWwKfAvYw/bTgCX9iKqxjoiIPpWAOiJiBkkaBdwP3AFcBPwNWAA42vauzTVjbL8AvAYY29ZaIyJi8KWGOiJiFkjanBrUcgVwU5OZ7pxbqTm+gu3b09kjIqI/JaCOiBggkuYG1qFqqz8CvB/4ne0dm2mJL/7bXxAREcNSNiVGRAycRYHPAXcDWwO/BD7bnEv2IiKiT6WGOiJi4NwFbAK8Hnigq51eSj0iIvpYSj4iIgZB+k1HRIwcCagjIiIiImZBaqgjIiIiImZBAuqIiIiIiFmQgDoiIiIiYhYkoI6IiIiImAVpmxcR0TJJ44EfUmPKN7V94XSu2wo4yPZrJa0NTALGNiPOIyKiJQmoIyLatz/Vw/qdwCPtLiUiImZUAuqIiPbNB/za9r1tLyQiImZcAuqIiBZJuhdYAlhb0pbNz2+wfXdzfn9gXdtrzMLf2ArYDrgY2Bl4ATgb+JztqZLGAgcDWwALAQ8Ch9g+tmuNBwPbA8sBVwCfBI4A3gsY+Ijt25vr1wC+DrwFmNz8rtNndv0REb0umxIjItq1EvAb4EjgQ4P4d/4beBOwJrAPFVi/pzm3J7AhMAEQcArwDUmLdD3/y83z1gRWBG4ELmp+74vAQQCSXgNcAHyPCqi/3PyuDwze/7WIiHYloI6IaJHtR4EpwN+BRwfxT40BPmX7DtsnATdRwTzArcB2tq+2PZnKRs9GBdcdp9m+2PZvgcuAW2yfYPtWKnheprluR2CS7aNs3237bCqTvesg/n+LiGhVSj4iIkaGP9t+vOvxE8BYANs/krSepMOpwHiF5prZuq6f3PXzM8B90zyeo/l5WeB9kp7qOj+Gwf2yEBHRqmSoIyJ6x0svc2ygEh9TXubYKABJBwFnULXVpwOrvMy107bmmzqdvzMGOBMY3/XfcsBaM77kiIjhIRnqiIje0Ql65+06tvQQ/N1PAzvbPhNA0pua46Nm4ncZWKuzqbL5fTsCi1A12BERfScBdURE73gE+COwt6Q9gNWB9YFbBvnv/gXYQNI1wMLA0c3xOab/lOn6FrCLpK8AJwHLA4cCnx+IhUZE9KKUfERE9AjbU4FtqRKJ3wMfAQ4cgj+9DdWR4zbgNOAHwNXA22b0F9m+D9gAWJfa7Hg48KVOC76IiH406qWXXq5kLyIiIiIi/hPJUEdEREREzILUUEdEDGOSVgIm/ZtLHrP92qFaT0TESJSAOiJieLuZak03PS8O1UIiIkaq1FBHRERERMyC1FBHRERERMyCBNQREREREbMgAXVERERExCxIQB0RERERMQsSUEdEREREzIL/D0lqxEk++DWuAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "aggressive_defenders_yellow = (football_stats_df_clean.query('position == \"Defender\"')\n",
    "                       .sort_values(by='yellow_cards_overall', ascending=False)\n",
    "                      [['full_name', 'position', 'yellow_cards_overall', 'current_club']]\n",
    "                      .head(5))\n",
    "display(aggressive_defenders_yellow)\n",
    "matplotlib.rcParams['figure.figsize'] = (12, 7)\n",
    "plot = sns.barplot('full_name', 'yellow_cards_overall', data=aggressive_defenders_yellow, hue='current_club')\n",
    "plt.title('Team with highest number of aggressive defenders (yellow cards)')\n",
    "plot.set_xticklabels(labels=list(aggressive_defenders_yellow.full_name), rotation=60);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q6: Highest scoring attackers from different continents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "# show indices of top attackers\n",
    "(football_stats_df_clean\n",
    " .sort_values(by='goals_overall', ascending=False)\n",
    " .groupby('continent').groups\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "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>full_name</th>\n",
       "      <th>position</th>\n",
       "      <th>goals_overall</th>\n",
       "      <th>current_club</th>\n",
       "      <th>continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>Mohamed Salah</td>\n",
       "      <td>Forward</td>\n",
       "      <td>22</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540</th>\n",
       "      <td>Heung-Min Son</td>\n",
       "      <td>Forward</td>\n",
       "      <td>12</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Jamie Vardy</td>\n",
       "      <td>Forward</td>\n",
       "      <td>18</td>\n",
       "      <td>Leicester City</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>Raúl Alonso Jiménez Rodríguez</td>\n",
       "      <td>Forward</td>\n",
       "      <td>13</td>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>Chris Wood</td>\n",
       "      <td>Forward</td>\n",
       "      <td>10</td>\n",
       "      <td>Burnley</td>\n",
       "      <td>Oceania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>Sergio Aguero</td>\n",
       "      <td>Forward</td>\n",
       "      <td>21</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         full_name position  goals_overall  \\\n",
       "561                  Mohamed Salah  Forward             22   \n",
       "540                  Heung-Min Son  Forward             12   \n",
       "98                     Jamie Vardy  Forward             18   \n",
       "543  Raúl Alonso Jiménez Rodríguez  Forward             13   \n",
       "448                     Chris Wood  Forward             10   \n",
       "493                  Sergio Aguero  Forward             21   \n",
       "\n",
       "                current_club      continent  \n",
       "561                Liverpool         Africa  \n",
       "540        Tottenham Hotspur           Asia  \n",
       "98            Leicester City         Europe  \n",
       "543  Wolverhampton Wanderers  North America  \n",
       "448                  Burnley        Oceania  \n",
       "493          Manchester City  South America  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_attackers_continents = football_stats_df_clean.iloc[[561, 540, 98, 543, 448, 493]][['full_name', 'position', 'goals_overall', 'current_club', 'continent']]\n",
    "display(top_attackers_continents)\n",
    "sns.barplot('goals_overall', 'full_name', data=top_attackers_continents)\n",
    "plt.title('Highest scoring attackers in each continent');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q7: Players with highest number of minutes played in each continent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "# show indices of top attackers\n",
    "(football_stats_df_clean\n",
    " .sort_values(by='minutes_played_overall', ascending=False)\n",
    " .groupby('continent').groups\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "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>full_name</th>\n",
       "      <th>position</th>\n",
       "      <th>current_club</th>\n",
       "      <th>continent</th>\n",
       "      <th>appearances_overall</th>\n",
       "      <th>minutes_played_home</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>Bruno Écuélé Manga</td>\n",
       "      <td>Defender</td>\n",
       "      <td>Cardiff City</td>\n",
       "      <td>Africa</td>\n",
       "      <td>38</td>\n",
       "      <td>1710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>Neil Leonard Dula Etheridge</td>\n",
       "      <td>Goalkeeper</td>\n",
       "      <td>Cardiff City</td>\n",
       "      <td>Asia</td>\n",
       "      <td>38</td>\n",
       "      <td>1710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Ben Mee</td>\n",
       "      <td>Defender</td>\n",
       "      <td>Burnley</td>\n",
       "      <td>Europe</td>\n",
       "      <td>38</td>\n",
       "      <td>1710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>Raúl Alonso Jiménez Rodríguez</td>\n",
       "      <td>Forward</td>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>North America</td>\n",
       "      <td>38</td>\n",
       "      <td>1648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>Mathew Ryan</td>\n",
       "      <td>Goalkeeper</td>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>34</td>\n",
       "      <td>1530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>Ederson</td>\n",
       "      <td>Goalkeeper</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>South America</td>\n",
       "      <td>38</td>\n",
       "      <td>1710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         full_name    position             current_club  \\\n",
       "432             Bruno Écuélé Manga    Defender             Cardiff City   \n",
       "564    Neil Leonard Dula Etheridge  Goalkeeper             Cardiff City   \n",
       "30                         Ben Mee    Defender                  Burnley   \n",
       "543  Raúl Alonso Jiménez Rodríguez     Forward  Wolverhampton Wanderers   \n",
       "216                    Mathew Ryan  Goalkeeper   Brighton & Hove Albion   \n",
       "347                        Ederson  Goalkeeper          Manchester City   \n",
       "\n",
       "         continent  appearances_overall  minutes_played_home  \n",
       "432         Africa                   38                 1710  \n",
       "564           Asia                   38                 1710  \n",
       "30          Europe                   38                 1710  \n",
       "543  North America                   38                 1648  \n",
       "216        Oceania                   34                 1530  \n",
       "347  South America                   38                 1710  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "highest_minutes_played_continents = (football_stats_df_clean.iloc[[432, 564, 30, 543, 216, 347]]\n",
    " [['full_name', 'position', 'current_club', 'continent', 'appearances_overall', 'minutes_played_home']]\n",
    ")\n",
    "display(highest_minutes_played_continents)\n",
    "sns.barplot('minutes_played_home', 'full_name', data=highest_minutes_played_continents)\n",
    "plt.title('Players with most minutes played in each continent');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q8: Goalkeepers with highest number of cleansheet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "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>full_name</th>\n",
       "      <th>position</th>\n",
       "      <th>current_club</th>\n",
       "      <th>clean_sheets_overall</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>Alisson Becker</td>\n",
       "      <td>Goalkeeper</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>Ederson</td>\n",
       "      <td>Goalkeeper</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>Kepa Arrizabalaga</td>\n",
       "      <td>Goalkeeper</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Jordan Pickford</td>\n",
       "      <td>Goalkeeper</td>\n",
       "      <td>Everton</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>Hugo Lloris</td>\n",
       "      <td>Goalkeeper</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             full_name    position       current_club  clean_sheets_overall\n",
       "341     Alisson Becker  Goalkeeper          Liverpool                    21\n",
       "347            Ederson  Goalkeeper    Manchester City                    20\n",
       "292  Kepa Arrizabalaga  Goalkeeper            Chelsea                    14\n",
       "118    Jordan Pickford  Goalkeeper            Everton                    14\n",
       "240        Hugo Lloris  Goalkeeper  Tottenham Hotspur                    12"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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HK0v9+5kKrNJxHddQXpOt18vawHWZeVJbsHkhZbaxUd2fRcT7I2JaRCyXmYOZ+cfM3IfyHrNiD4e6hLk/J92+b83xWh3Fe5Y0IltuJM1XmfnXiNiSMvbkmoj4NmUA+wCl/3ZrStmT2rY/CTggyoxml1A+hTyAMmvPeZn5RJTpUj8WZbD/PZSbqN3qabu9KTqE0i3omxHx6sycHmXa2in1pugiylSoB1L+w2+1Nh1ECUI/jzKN9QOU1p/389SWo00i4hhKi8m6lOmtD8zMmQARsQ/w7dqH/+xa9k9TpsDeZYSyX13Pe0qUaV1vA95Y62HYL6HMzME67mEH4NK2Adu/BPalDP69boTzzgCWiYiNax2MxgxgjYhYu4dxJSdS6uXCiGgNIF+XUmcn1pvcsXJqPe6ZEbFfLe/HKeH61pF2HEI3r5kL6/FPi4iTKTe8H6N8kt4KnK1WhQ9ExMWZ+a95ubA6FuUyYJcoE3HcTnlNLDcvxxvGo5TxFa2625sypu3JiUIof99nRsTBlNap11Faqq7IzF7reB/KOI5fRMSRlHD1acrsaVO6PUhm3hURRwB7RcQjlOfldZRWkEPq+KWhzv2ziPgRs8fZ7U4J3V+tj38LbFjr40rK3/inKWMER/tltpdTXi/nRsSXKe+JG1ICdS/fH9bVc9Ll+9a99d+3RMTVzON7ljQ3ttxImu8y81zgvymDi7emzKr0Y0qwOA9YNTO3a9vlI5RAsRnlpu7/KFPObpizv2NiE8og229RbkJXp0wJ/VdmT/c6t3I9Qvlk/CXUKV4z80BKSHpHPfehlFaNN9UuFWTmnymfwj5AGS/0Q0pA2zwzO7ul7F/X/biWeffMfHJWpMw8oV7nqnWbYyk3mutm5lBd41r7PUzpv3415dPS8yjd6fZlzlmXhtKaUezitmUXdawbzjcoM9H9iKdOntCrKZTn7ZzaDWuuanh5M6W8n6OExtZUtDuPsGvPaovg2ynjs46kTMN8NWVw9f09Hmuur5nM/BmlK9HLKOMRTqPcmK9XWxqpy6+ivO63GcXlQZk+/XLKtZ1M6Ya37yiP2e4eypTI+1PK/RiwTmb+FaB2V9uonnsvymt4F2ZPQdyTLN+x05oQ43uUrk63Uma7u2akfYewNyXMbEJ5H9i+LjtomHNfWM+9DOX96CRKS/OGmdn6O/siZQa9XSh/Z3tSrv0AYOWIeG6PZWw//+2U94M7gaPr8dcDts/MzklNRjpOV89JN+9btRvylyh1ePIo37OkYQ0MDjrbniSNtxjmSxK18IiIV1O6Iv6gDoZuLb8KuDnbpsGVJPWH3dIkSerO4pRP4d8SEWdQ/g/dgtJNZ6gpdiVJ85nd0iRJ6kKdmnlzSpj5EfB9ysDnDTLz0j4WTZJU2S1NkiRJUiPYciNJkiSpEQw3kiRJkhrBCQU0ZgYHBwcff3wsvy+v2SZOHOCJJ+wW2i3rqzfWV2+sr95YX72xvnpjfXXv6VxXiy468S5gcudyw43GzOAgzJjxYL+LsdCYNGkJ66sH1ldvrK/eWF+9sb56Y331xvrq3tO5riZPXvKWoZbbLU2SJElSIxhuJEmSJDWC4UaSJElSIxhuJEmSJDWC4UaSJElSIxhuJEmSJDXCwODg03NubI29WbMGBydMGOh3MSRJkjTOHnrkMe6/7+G+nX/y5CWnAqt1Lvd7bjRmJkwY4PWfPLnfxZAkSdI4m3roB7mf/oWb4dgtTZIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjLNLvAoy1iPgAcCrwicw8rG35JcBlmblfRJwILJKZ2/SnlE8VEYMdi6YDZwN7ZObMMTr++pl54WiPJUmSJC2Imthy8wHgBuBDI2zz/4Bd5k9xerI5sBzwQmBjYDXgq30tkSRJkrSQaFS4iYilgbcDU4BXR8TrhtouM+/NzHvnZ9m6dE9m3pGZ/87M3wBfA7bod6EkSZKkhUHTuqW9H3gE+D5wALAdcHXnRu3d0iJiKeB4YH1KfVwIfCwz7xhpXT3OxsBngZWBm4EDMvOHdd0lwEXAWsCbgRuBvTPzpz1cz7SOcg8A+wL/BzwLuBLYLTOvr+ufC3yd0urzCLO75z3ecZx3AmcAW2bmWRHx7LrfJsBDwDnAXpk5MyLWBb4HnAVsCxyemVN6uAZJkiRpvmhUyw2wFXB+vZk/G9gqIhadyz6fA1YE1gHWAJ4HHD63dRHxVkpAOBl4LfBN4NSIeEPbsfcBTgdeD1wHfCsiJnZzIRGxDLA7JVi07Ap8kBIy3kjpfndRRCxR159Zy/tWSlB5L7B3x3HfQAl/O2XmWXXxd4BlgDcBGwEBnNi22/LAUsD/dCyXJEmSFhiNabmJiBdQWkhakwScAXwSeCcl6AxnReB+4KbMvD8itgWW7mLdrsCZmXlEffz3iHhjPedmddn5mXliLd/ngD9RgsKtw5Tl3Ih4AhgAlgDupgSclk8Bu2fmL+sxd6vX976I+AMlnKyUmTfU9TtTxvC0rAQcBOyXmSfVbV5GCUHLZObdddkHgZsj4kVt+345M28cptySJElS3zUm3ABbAk8ArW5fvwVuo0wsMFK4+WLdZ1pEXExp/Ti5i3UrU7qstbsC+Gjb4/YwcF/9d6SWpJ3qMaCEqK2BK2try22UiQZOiYhZbfs8E3gF8DBwXyvYAGTm+R3HPxx4BnOGq5UpYerWiOgszysodQql250kSZK0wGpSuPkAJThMb7tJnwBsXLt4DSkzr4yIFwPvorSCHEbp3vaWkdZRwkSnifWn5dEhthkY4Rpuaw8nwO8j4h3AjsAX6rItgb927DeDMrZnbr5DmWL6iIi4IDMfpLwGHgBWHWL724HV6+9DXa8kSZK0wGjEmJuIWIkybfKelJv01s/GlMDzgRH23QN4Y2aekplbU0LMuhHx/JHWAX+jjHtptyaQY3t1DFAmP5gB3Aksl5k31BB0E3AwZczP9cBStZtZ69o+EhG/bDvWGcAhlOd9/7osgf8CJrYdF8oU1EuN8bVIkiRJ46YpLTcfoLReHJeZ7S0Mf46IKyhd0+4fZt8XATtHxPbAHZSuYLcCd81l3VcpXcb2AM6jDMTfFHjHKK5j6YhYtv6+OLA98HLgh3XZV4HPRcR/gD9TxvesT/miz9si4kLKpAV7AEtSAsyx7SfIzAcj4pPAyRFxUmb+LSJ+Bny3juF5uO4zMTNvjyH6qkmSJEkLoka03FDCzakdwablWMpsZf89zL77A7+mTHX8F8oYlI0z84mR1mXmVZQuajtRgsb2wOaZ+YtRXMcPKF3Bbqd0PVsfeF9mtsbhfAU4DjgauKZe09sz87a6flvKJARXAD8CTqv7zCEzTwd+U4/T2u964OfAr4B/A+8ZxXVIkiRJ893A4OBgv8ug5hh8/SdPnvtWkiRJWqhNPfSDTJs2s2/nnzx5yamUYSlzaErLjSRJkqSnOcONJEmSpEYw3EiSJElqBMONJEmSpEYw3EiSJElqBMONJEmSpEYw3EiSJElqBMONJEmSpEYw3EiSJElqBMONJEmSpEYw3EiSJElqBMONJEmSpEYw3EiSJElqBMONJEmSpEYw3EiSJElqBMONJEmSpEYw3EiSJElqBMONJEmSpEYw3EiSJElqBMONJEmSpEYw3EiSJElqBMONJEmSpEYw3EiSJElqBMONJEmSpEYYGBwc7HcZ1BCzZg0OTpgw0O9iSJIkaZw99Mhj3H/fw307/+TJS04FVutcvkgfyqIGmzZtZr+LsNCYNGkJZsx4sN/FWGhYX72xvnpjffXG+uqN9dUb66t71tVT2S1NkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMMDA4O9rsMaojBWbMGByaYlyVJkuaHWY89wvQZj/a7GH0xefKSU4HVOpcv0oeyqKEGJkzg1s++ut/FkCRJelpY4YBrgadnuBmOH7NLkiRJagTDjSRJkqRGMNxIkiRJagTDjSRJkqRGMNxIkiRJagTDjSRJkqRGMNxIkiRJagTDjSRJkqRGMNxIkiRJagTDjSRJkqRGMNxIkiRJagTDjSRJkqRGMNxIkiRJagTDjSRJkqRGMNxIkiRJagTDjSRJkqRGMNxIkiRJagTDjSRJkqRGMNxIkiRJagTDjSRJkqRGMNxIkiRJagTDjSRJkqRGMNxIkiRJaoRF+l2Ap4OIuBl48TCr35uZZ3Vsvx7wi8wcGOeiSZIkSY1huJl/9gJOHWL5PfO7IJIkSVITGW7mn/sy845+F0KSJElqKsPNAiAilgK+AWwM3AZ8u2P9C4GjgPWB6ZQWoAMy89GI2A7YGfhXXb8X8FvgaOD1wEzgFGDvzHw8IibUbXYGXgD8Dtg9M/9UzzUIfAj4BPBS4PfADpl543hdvyRJkjQWnFBgwXAc8EpgHWB34OOtFRExAJxJ6b72emBrSgg6pG3/NwLXA28AzgW+B1wHvBrYHNgW+Ejd9gBKcNkT+B/gJuBnEbFk2/EOrOvXBZYFDh6rC5UkSZLGiy03889REXFEx7IZwKsoAWS9zPwDQER8HjiybvNWSgvKGpn5BHBdROwC/Dwi9m471sGZObPuvyJwHnBLZv4jIt4BTK9BaTdgv8w8p267I3Aj8EFKaw/AEZl5UV1/LLDHWFWCJEmSNF4MN/PPQcAPO5Y9AbwCmAj8qW35VW2/rwxMAu6NiNayAeAZzJ6BbXor2FT7UMLRRyPifOD0zJwaEc8HnkPptgZAZj4WEVfV87S0d0G7D1i024uUJEmS+sVwM/9My8wbOhdGxDL11/Zpnx9r+30RSpezjYc45j/rvw+3L8zMYyLiJ8B7gI2As2tr0OHDlG1i/Wl5tGO9U1JLkiRpgeeYm/5LSphZvW3Z6zrWv4jSOnNDDUjLUsbcPOX5i4hnRsTXgMHMPDIzNwSmAFtk5r3A7ZQxOq3tF6WM5ckxvSpJkiRpPrPlZv5ZKiKWHWL5A8B3ga/Vmc8WB/ZvW/9z4B/AKRGxD7AE8C3gT5n5cFtXNQDqsrWBF9ftFwHeAUytmxwGTImIfwN/B/au5zxtTK5SkiRJ6hNbbuafwyitJp0/BwK7ApdRgswJzJ5MgDqJwLsp43OuoMyG9mtghxHOtQXwTOA39bg3USYSgNI17TjK1NN/AFYA1snM/4zBNUqSJEl9MzA4ONjvMqg5Bm/97Kv7XQZJkqSnhRUOuJZp02bOfcMGmjx5yanAap3LbbmRJEmS1AiGG0mSJEmNYLiRJEmS1AiGG0mSJEmNYLiRJEmS1AiGG0mSJEmNYLiRJEmS1AiGG0mSJEmNYLiRJEmS1AiGG0mSJEmNYLiRJEmS1AiGG0mSJEmNYLiRJEmS1AiGG0mSJEmNYLiRJEmS1AiGG0mSJEmNYLiRJEmS1AiGG0mSJEmNYLiRJEmS1AiGG0mSJEmNYLiRJEmS1AiGG0mSJEmNYLiRJEmS1AiGG0mSJEmNsEi/C6DmGJw1ixUOuLbfxZAkSXpamPXYI/0uwgLHcKMxM8gAd02b2e9iLDQmTVqCGTMe7HcxFhrWV2+sr95YX72xvnpjffXG+urepElLAI/2uxgLFLulSZIkSWoEw40kSZKkRjDcSJIkSWoEw40kSZKkRjDcSJIkSWoEw40kSZKkRjDcSJIkSWoEw40kSZKkRjDcSJIkSWoEw40kSZKkRjDcSJIkSWoEw40kSZKkRjDcSJIkSWqERfpdADXIwCCTJy/Z71IsVKyv3lhfvbG+emN99WZhq6+HHn2Y++99rN/FkDTODDcaMxMGJrDWkWv1uxiSJD3F5btdzv0YbqSms1uaJEmSpEbouuUmIjYC9gReDqwD7AjcmpnfHKeySZIkSVLXumq5iXoGTFkAACAASURBVIhtgO8ClwLPAyYCtwNfjYg9x694kiRJktSdbrul7Q3slJmfBZ4AyMyjge2A3cenaJIkSZLUvW7DzcuAq4ZY/kdg2bErjiRJkiTNm27DzbXARm2PB+u/2wPXjGmJJEmSJGkedDuhwF7AeRHxNuAZwAER8QpgVWDj8SqcJEmSJHWrq5abzLwMCEoLzjnAJODXwMqZefH4FU+SJEmSutP1VNCZeQdwwDiWRZIkSZLmWVfhJiIC+DzwSmCxzvWZ+YoxLpckSZIk9aTblpvTKFNAfxt4aPyKI0mSJEnzpttwE8DqmfnX8SyMJEmSJM2rbqeC/hmw5ngWRJIkSZJGo9uWmz2BqyNiG+AWYFb7yszcfqwLJkmSJEm96DbcfIPyxZ3TgYn1R5IkSZIWGN2Gm3WAtTPzD+NZGEmSJEmaV92OufkzsPR4FkSSJEmSRqPblpvjge9GxEnATcDj7Ssz8ztjXTBJkiRJ6kW34eYzwCPAlkOsGwQMN5IkSZL6qqtwk5kvGe+CSJIkSdJodNtyQ0QsS/kyz9ZMaQPAYsDrMvML41A2SZIkSepaV+EmInYGjqQEm0FKsKH+/hvAcCNJkiSpr7qdLe3TwOeBxYH/AC8G/hu4Gjh7fIomSZIkSd3rNty8ADgpMx8B/gCsmZl/Bf4fsGM3B4iIwYhYr2PZmyLioYj4ei+FHksRsVhE3BsR18zj/ivWa3v5KMuxXUT8axT73xwRO4ymDJIkSdLCrNtw8x9gcv39OuB19ffbKMGnZxHxGuBc4HRKSOqXjYC7gVUi4n/mYf9/AstRpsiWJEmS1CfdTihwOnBybRn4GXBKRPwR2Bi4vteTRsRL6nEuBHbIzMFejzGGtgLOB14LfIjSMtW1zHwCuGMcyiVJkiSpB92Gm32AGcBzM/OciDgeOAqYDmzfywkj4nnAz4FrgK1qOGitWwz4ErA1pVXpImC3zPxPRKxIaR3Zpm7zLOB7wJ6Z+Vjd/8PAp4CXAfcBP6z7z/Glo23nW5LScvMhSgvMxyPiE23H2w7YGfgXsD6wVz3/n4ENKWOQ3gP8HlgJWBs4YYhTTcnMgyJiTeDLwOspkzH8GvhIZv67rUyfB3YH7gf2z8xv1+WLAgcDHwCeT2k1+2JmHjvMdR0OvBuYVOvtM5n547r+uZQvZt0AuLOW6djMHKjr51pOSZIkaUHTVbe0zHw8M7+QmefUx/tl5uTMfGVmXtHD+ZaitNi8iBJsHu1YfzCwJqVFaJ1avp9ExEDbNgdQbvA3qT+fB4iItYFjgH0pQWNn4MPApiOUZ1PKDHAXUCZGWIYSdtq9kdI69QZKNzrqcbejBJu72rb9PqWLWutnH0qXtxNq4DiP0lr1KkqweGktb8vywKq1DvYBjmkbp7Q3Jay8nzIl94nAkRExVLfAw4GV6zleBVwKHF/DI5SWuOdTwtiuwIGtHbsspyRJkrTA6eV7bt4OrA4syuypoAHIzAO6PMzRwO3AI5QZ2D7VdvwlKDfaa2Tm1XXZtpTWobUpLSsAn87MX9f1+wNfiYh9gIcorQtn1O1uiYi9KDfow/kAcHFm3gvcGxHXUVpxzurY7uDMnFnPCXB+Zl5WH6/YVg8P1XIQEasC+wObZ+at9XuCDgYOq93wboqIHwP/23aeR4HtMvMu4C8RsS4lpF1IaS3aITN/U49/MCXoBaUVp91lwNcy89q67VeAHYAX1Bag9YDIzL8Df4yIKcBxdd//6qKckiRJ0gKn2++5ORzYDfgTpbtXu17Gy9xN6d61BaXV4YzWzTqldeAZwK9rgGh5JvAKZoeb9paiq4DnAM/PzKl15rWDKIHm1ZQWnIuGuabJwNsoXcBazgQ+ERHL1IABML0VbNrcPNJFRsQk4MfA1zPzPIDMvCMiTgT2rMFnFco4n9+27XpT23mhjP/Zue5/VkSsHxGHAa8EWpMfTOSpTgY2iYgd67avb9v2NcB9Ndi0XNn6pctySpIkSQucbltutgB2zMyhxpP0Yq/MnB4Rx1IG8p8YEatm5sNtZVkHuLdjv2nA0vX39vEzrRv7WbVl6WzKjf3PgIMo3dSGs3k951ERcWRdNkDpCrcV0Jqe+uEh9h1qGQC1C913KeN09mtbvjwljF1N6QZ3PKUL3Nptu8/qONwESmtOayzOTsB36vE/xvAh62RgrbrdsZTWslaAeZyOlrf2x12WU5IkSVrgdBtuFgEuH4PzPQ6QmYO1VeFq4HPAJ4EbgSeAZTJzKkBEPJtyg74fs1uMVmV2a8xqlGmq76R8385JmblT3XcRysQClw5Tlq2AX1G6wrX7LqVr2rx+986+lPE5q7ZPlgC8l9Ji8s7WgojYjTmDxksi4lmZeX99/Abgb/X3nSmTI5xW912lLp8jqETEUvXa1srMK+uyd7Zt+1dgyYhYKTNbM929vu0Q3ZRTkiRJWuB0G26OBKZExEfbbrxHJTP/VseNHFi7p13ZmoUtInaizgZG6UZ1PWUAPMDhEbE98GxK68zRNSxNB9as35/zBGVA/nLAYnSIiBdTBu1vlZl/7lh3DPDNiPjvXq8pItanjIN5P/BEHWcDpfVlOrB83eZGYDPgfZSA1/IM4KSIOJDS8rIZs8e6TAc2jojf1utqha/O63sIeADYNCJup3TpO6q1bWb+OSIuAL4VEbtTvr/os237d1NOSZIkaYHT7Zd4bkC5wZ0REXdExK3tP6M4/yGUlokTImJx4OOUrlDfp0yvvDiwQR2o33I68JP673eAL9TlU5jd/epCSqA4mtlfONpuS+AeyhibTqdSWom2m4fr2Zoy4cLZlBal2+vPGcAPKK1CPwCmUsb77AlEvXaAPwK3AL8BPgN8ODOvquu2p4wj+gul29kP63ZzXF+dxnobSgvM34AjKHX077ZtPwzMrPt/gzJ9dWvmum7KKUmSJC1wBgYH5z4fQER8aKT1mXnSmJVo+DKsSPm+lpUy84bxPl9T1Vnp1qPM+Nb6Pp/NgEMzc8VRHn5wrSPXGuUhJEkae5fvdjnTpnXODzR/TJq0BDNmPNiXcy+MrK/uPZ3ravLkJadShqjMoatuad2Gl9qK86bMvKW34mk+epjS4nVcRHwbWJbyPTc/7GupJEmSpFHqtltat5Zm6KmJtYDIzFmULz9dj9LF7UzK7HL7jbSfJEmStKDr+ks8+y0zb8YZu8ZE/QLSNfpdDkmSJGksjXXLjSRJkiT1heFGkiRJUiMYbiRJkiQ1wliHm7nPKy1JkiRJ42Csw40D/iVJkiT1xbCzpUVE18GnTi8M8Bbgn6MtlCRJkiT1aqSpoB+n+25mEwEy86pRl0iSJEmS5sFI4eatOIZGkiRJ0kJi2HCTmZfMx3JIkiRJ0qiMNObmn3TZcpOZK4xZiSRJkiRpHozULW2/+VYKSZIkSRqlkbqlnTQ/CyJJkiRJozFSy82TIuLXjNBFLTPfPGYlkiRJkqR50FW4AS4cYr+XAhsBnx3TEkmSJEnSPOgq3GTmQUMtj4htgS2Br45loSRJkiSpVxNGuf9lwFvGoiCSJEmSNBrdjrl56RCLlwI+A9w8lgWSJEmSpHkx0vfcvB24JDMfAW6gTCgw0LHZP4GPjF/xJEmSJKk7I7Xc/BhYmRJgbgHeD9xV1w0CjwL/ycyuvuhTkiRJksbTSOHmTuCbEXEVsAKwFfBA50YRQWYeME7lkyRJkqSujBRu3gtMAdaqj9egtNZ0suVGkiRJUt8NDA7OPZtExE3Aapk5ffyLpIXVrMFZgxMGRjsBnyRJY++hRx/m/nsf68u5J01aghkzHuzLuRdG1lf3ns51NXnyklOB1TqXd/s9Ny8Z8xKpeQYHmHbXzH6XYqHxdH5DmhfWV2+sr95YX72xviQtqPyYXZIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjLNLvAqg5Bhhk8uQl+12MhYr11RvrqzfWV2+sr94sbPX1+EMPc8/9j/W7GJLGmeFGY2ZgwgR+9eZ1+l0MSZKeYp1LfwWGG6nx7JYmSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREW6XcBRiMidgD2y8wVx+h4LweuB16SmTePxTHbjr0dcELbokHgfuAKYI/MvC4i1gUuBhbNzMdHONaKwE3ASpl5wxDrVwXOAJYF3peZ54+y7ONWL5IkSdJYseVm/rodWK7+LA/8L7AYcG5ETKAEneVGCjZdmkIJI6sAl4zyWJIkSdJCYaFuuVkIzcrMO9oe3x4R+wBXAq/JzD8Cdwy9a0+eDVxhK4skSZKeThoVbiLihcBXgfWAWcDpwCcy8+HaLWxn4F/A+sBewEnA4cA2wEzgSx3He2VdvzawKHAVsFNm/qV2Ifse8FngAGBx4KfARzPzoR6K3WqleaSzW1pEvAQ4ElgHuBc4JjMPHuK6P9p23acDLwbWjYitM3PFsa4XSZIkaUHUmG5pEfEM4JfAs4B1gc2AdwCHtW32Rkp3rTcA5wIHARsD7wY2B3ZrO94AcA5wC7AqpQvZRODQtuM9H9gCeCewPfA+YLseyrw88Dkggb93rFsM+DnwGLAm8BHgUxGxdcd276YEkU0y8zfA6pSWoCOA1ce6XiRJkqQFVWPCDbAh8EJgm8y8JjMvBnYBdoqIZ7dtd3BmJnAnsAMwJTMvzcwrKa0WLUsA36K0cNyYmX8ATgRe1bbNIpTJAK7JzLOBn1HCxXBeEBH315+HKK0lywJbZuYTHduuB7wA2C4z/5yZF9TreaBtmzWBU4APZuaFAJk5DXgUeKD+Ptb1IkmSJC2QmtQtbWXghsy8u23ZFZTWlpXq4+mZObP+vgwwGfhT2/ZXtX7JzAci4hhg24hYDXgl8D/A9I7z3tj2+32U7mvD+Q/wpvr7LODuzJwxzLar1Ou5t61Mp8CTs6UBHE95Dm8Z4ZxjWi+SJEnSgmqhCjcR8XxgUm1hABhg9piVh4fYZWLHv0NtM9D2+2Nt53oW8HvgbuAs4DRKwPl0x/6PjnC8Tk8MNXXzMDqPO5QDgf8GjomINTJz1hDbjGm9SJIkSQuqha1b2ieBr7U9fjZwV/39b8DLI+I5bevXBJ4AhgoUd1FaUtq7kb2u7fd1gRcB62bmobXb1wqMHF7G0vXAyyJiqdaCiDgoIk5s2+bHwN6U1pkdhznOWNeLJEmStEBaqFpugEuBXSJifcrsYTtTWlQALqQMyv9unV75OcDXgdMzc3pEzHGgzByMiKOBKRHxD2AGcw6yn04Zd7NpRPyWMgZmV+DB8bq4DhcA/wSOj4gpwIrA7pRrflJm3hYRXwAOjogfZ+ZdHccZ63qRJEmSFkgLVctNZp4DfAU4mXLT/mvgkLpuFrAJMAj8BvgBZeavHUY45BcokwScDvwE+Gbbua6kzBp2JHAN8GHgY8BzI2KFMbysIdUJBt5DCSN/AI4DPpuZ3x9i88Mp3ee+PMRxxrReJEmSpAXVwODgYL/LoOYY/NWb1+l3GSRJeop1Lv0V06bNnPuG42DSpCWYMWN+dfxY+Flf3Xs619XkyUtOBVbrXL5QtdxIkiRJ0nAMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIawXAjSZIkqREMN5IkSZIaYZF+F0DNMThrFutc+qt+F0OSpKd4/KGH+10ESfOB4UZjZpAB7po2s9/FWGhMmrQEM2Y82O9iLDSsr95YX72xvnpjfUlaUNktTZIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjGG4kSZIkNYLhRpIkSVIjLNLvAqg5BoDJk5fsdzEWKtZXb6yv3lhfvXk61dejjzzOvfc91O9iSNKYM9xozAxMGOCovc7tdzEkSXOx62Hv6ncRJGlc2C1NkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYbiRJkiQ1guFGkiRJUiMYboYRETdHxA5DLF8vIgb7VKYTI+J7I6wfjIj15vHYUyLisnkvnSRJktRfhhu1fAV4d78LIUmSJM2rRfpdAC0YMvP+fpdBkiRJGg3DzSjVLmrrZ+aF9fF2wOcz84X18euBo4HXAlcDFwJvzsx16/o1gUOB1wHTgEMz8+gxKNczgSnA1sBzgF8Cu2bmLRGxInATcADwceBM4FZgvcxcOyIWBb4OvA94FnB53TdHWy5JkiRpvNgtbRxFxLOBn1FCzeuAU4F92tavTAkdl9b1BwJfjojNxuD0x1HCyQeBNShB9pyImNi2zZuB1YAvduy7K7ABsBHwGmAmcOIYlEmSJEkaN7bcjOyoiDiiY9nEIbcc2hbAQ8Bumfk4cF1ErAUsV9fvCFyTmZ+pj/9eA8+ngB/Oa6EjYmlgW2DjzLy4Ltsa+CewIfCXuunXMvPGur79ECvWct+cmdMi4v+Alea1PJIkSdL8YMvNyA4CVu342amH/V8DXF2DTcuVbb+vDPy2Y58rgFf2XtQ5vILy3D557My8G8h6zpabh9n/KGAp4LaIuBj4AHDtKMskSZIkjSvDzcimZeYN7T/AbXPZp7017HFgoGN9++OHh9h/IqNvURvquK1jT5zbdpl5PSUgbQ7cCOwLXBkRi4+yXJIkSdK4MdyM3qOUVo6Wl7b9/hfgtR3jXF7f9vvfgDd2HG9NSgvLaNxACVZPHjsinkvpWjbXY0fEB4FNMvPMzNyBMh5oZUpLlCRJkrRAcszN6P0e+HhEXAsEsB0wq647DTgEOCIijgLeBGxJmX0M4Bhgj4g4mDJgfw1gF+D/jXC+5SJiw45lt2Tm31oPMvOBiDgO+HpEfBS4C/gS8G/KBAfLzuWang3sFxF3A3+njN+5v/4uSZIkLZBsuRm93YDFgT8DnwH2b62o3x3zLmBt4BpK8PkepbWHzPwXZUayt1PGtOwP7JWZ3xrhfG8Fzu/42WWI7T4FXAD8iDKO5xHgrZk5XJe1dkcDJ9Sf64D3UCYnuKeLfSVJkqS+GBgcHOx3GRorIl4CLJ+Zl7UtOxr4r8zcrm8FGz+DR+11br/LIEmai10PexfTps2c5/0nTVqCGTMeHMMSNZv11Rvrq3tP57qaPHnJqZSvNJmD3dLG17OBi+o0zL+njLfZljL7mCRJkqQxZLe0cZSZf6R0GTuEMpD/i8DHM/O8vhZMkiRJaiBbbsZZHT8z0hgaSZIkSWPAlhtJkiRJjWC4kSRJktQIhhtJkiRJjWC4kSRJktQIhhtJkiRJjWC4kSRJktQIhhtJkiRJjWC4kSRJktQIhhtJkiRJjWC4kSRJktQIhhtJkiRJjWC4kSRJktQIhhtJkiRJjWC4kSRJktQIhhtJkiRJjWC4kSRJktQIhhtJkiRJjWC4kSRJktQIhhtJkiRJjWC4kSRJktQIhhtJkiRJjbBIvwug5hicNciuh72r38WQJM3Fo4883u8iSNK4MNxozAwCd02b2e9iLDQmTVqCGTMe7HcxFhrWV2+sr95YX5LUDHZLkyRJktQIhhtJkiRJjWC4kSRJktQIhhtJkiRJjWC4kSRJktQIhhtJkiRJjTAwODjY7zKoOaYBt/S7EJIkSWq8FwOTOxcabiRJkiQ1gt3SJEmSJDWC4UaSJElSIxhuJEmSJDWC4UaSJElSIxhuJEmSJDXCIv0ugBYeEbEYcCSwGfAI8NXM/PIw274WOA54LfA3YOfM/P38KuuCICJeBhwBrA08AHwf2DczHx5i258D63csfm9mnjXuBV1ARMRWwCkdi8/OzE2G2PZp/fqKiO2AE4ZZ/eLMvLVj+6ft66u+b00F9sjMC+uy5wDfAN4O/P/27jxMqurM4/iXoLiOTlwyuBBBwTc0BHdERhJNGHcfhWB0YnTiECSPSlTQOK4YMoIRwUEeIRI0qKjMROPjgqgxZhwhAu7i9roFJAwwChF3Rez54z2lty9V1UWwu5qq3+d5eLrr1rm3zz28deuce5a7Ehjp7jeUOcbBwASgKzAf+LG7v9rSea+GEuW1NzAe2Ad4C5gC/NLdPytxjJeBbrnNe7n70y2W8SopUV4XAJflkk5w97NKHKMu4itfVmZ2KTCySNJGdy96870eYqtc3cHMdgF+Dfwj8AYw3N1nlTnW94HRwI7A74Eh7v5/LXwKVaeeG1kXY4G+QH9gKHCRmZ2QT2RmWwCzgLnEl+EjwEwz+7tWzGtVmVkH4G6iEdgXOBE4lrW/8AoagBOAHTL/Sl6walQDcAdNy+BH+USKLyC+7LLltBPwJHB7vmGT1GV8mdmmwK1Aj9xb04BtiQrCKOBaM+tb4hidgLuA6cC+wDLgTjOrue/PYuWVGoKzgAXE520YMAI4vcQxNgF2Jco2G2/PtWTeq6FMfDUAV9P0/C8ucYy6iK8SZXUlTctoV+AvREO62DFqPrbK1R3MrB1wJ7AC2A+4AbjdzLqUOFYhzb8DfYCtgBtb+hzaAvXcSEVShXIIcLS7PwE8YWZXAGcAM3LJjwdWAyPc/TMzOxs4Mm2f2orZrqbexF243u7+HvCimV1MXLRHZBOa2VZE5XSeuy9r9Zy2HQ3AsxWUQd3Hl7t/CHxYeG1mZwBfJ248NFGv8WVmDcAtQLvc9t2Ao4Fu6e74gtSwOQ34U5FDDQGeKfRSm9m/EhXQ7wAPttwZtK5S5QUcQXzezkw9NS+b2Xii0jWx2KGARuAxd1/dglmuqjLlBalxU+Hnrebjq1RZpe/G9zLprgTeBc4vdShqP7bK1R1mEmXQz93fBV4ws/7AYOCiIscaRtzwmgZgZicDb5hZ11rsGcyqqTsD0qL2ADYBZme2zQb2M7N8I7kPMKcwZMHdG4E5wAGtkdE2woEj0sWpoJEow7wG4COii7meNRDl1hzFV0bqsRoJXOLufy2SpF7jqx/wAGvHxf7A0tyX++wi6Qr6AP9TeOHuHxC9ZLUWb6XK62HghNwQtEZg0xLHaQBer+HKZ0HR8kp3143KrmVQH/FVKrY+l4ZbDSNuWpWKnXqIrXJ1hz7AU6lhU7Au167FwKIy6WuGem6kUjsAK3PzRZYDHYDtgaW5tPkL+3JgzxbNYRvi7m+SueuWhhicQQyhymsA3gZmmFk/YDFwqbvf2xp5bQtSV/xuwFFmNoq48fJbYi7Ex7nkdR9fOUOJIQyleq3qMr7c/drC72aWfWsH4H9zyZcDO5c41Lqm3yCVKq9UIVqceW8zorfhnhKHagDWmNksYC/is/ozd5/XAtmumjLx1QXYHBhiZjOAD4DrgXEl5ijVfHyVKausc4Gny80foQ5iq5m6g65dFVLPjVRqc6IClVV4ne+NKJW2WK9FvRhPXIyLdbd3B7Ykxl0fBtwL3G1m+7de9qquG3Gz5X1gEPFFdyLFx14rvpJ0l3goMLHM3UzFV1Ol4qdDKs9K09djvLUn5oZsQUxSLqY78FVgEjGk7QXgITPr3Bp5bAO6p59LgKOAy4ELyQ1Hzqj7+ErD3k+ixFybjHqMrWzdYV1jpW5jSz03UqmPWPsDUXj9QYVp8+lqXqos/Qcxnn+Quz9fJNm/AZe5+9vp9TNmtg9Raa2ZO1LluPvzZradu69Im55JZXermZ3p7p9mkiu+vrA30eN1U5k0dR9fOaXi58M0xLHS9CuKpK1ZqXf1FuAQoH+Z+SQ/ADZz93fSfqcRE8BPJhZvqGnuPjN3LVtgZtsRCzCMLbKL4ituurQDmlu9sW5iq1jdwcw+ArbOJS333Ve335Vq3EillgBfNbMO7v5J2taRuAuwskjajrltHWk6dK3mpe7k64geiOPd/c5i6dx9DTFsKOtFYp5T3chUBgpeBDZm7WGPiq8vHE4sFJAfevA5xdda1jV+SqWvmRWampOGot1BjNU/rNwwoNSDuDrzutHMXiIWtagLJa5lO5ZIXvfxRVzHZhYZgtxEvcRWmbrDEta+bv8t166a/67UsDSp1NPAJ8TShAUHAk/k7qpDLNHbtzDEI/3sm7bXk3HEnaaB7v67UonM7DYzm5TbvBfwUktmri0xs4FmtjzdHS7Yi6iU5+8QK76+0IeY8F2S4mstc4GdckNZDqR0/MxN7wNgZpsT5VdP8XYzsRBDf3efUy6hmc03s/Myr78C9KJO4s3MzjSzZ3ObC/NDilF8VXAdg7qKrVJ1h7nAnmkYX8G6XLs6Eatq1nxsqedGKuLuH5jZDcAkiwcIdgTOAU4FMLOOwKq0RO1txDjjialSNYRYXz2/ZHTNMrM+wFnEONnHU/kA4O7LcuV1FzDFzGYDjwE/JC5IP2n9nFfNw8SwhClmNpqYgzMWGJvuzim+iutJPPOmCcVXae7+upndD9yYltDeh7hDejB8eBvJfgAACKVJREFUPq9ke2IBlU+IyeDnmtmFRO/FxcTKc3+oRv5bm5kdDwwg4mZx5lq2xt3fLFJe9xDltQB4DRgObEOUYz24DxhjZmOIu++9gfNInzfFV1NptVUD1hqyXY+xVa7uQHxPLgKmWTwA9SiiYTg47duBKI83U4/9ZOBhM5tDNGgmALPc/ZVWOp2qUc+NrIvhROXoIeLp8KPcvVCxWko8Z4Q0HvZI4m76k8SY2CNyyxfWukHp5xiibD7/ly7m2fK6kWgojiIelHcEcKi7v9bama6WNIzjUGAXImamEDE2JiVRfBX3D6w9LBQUX805megVnAdcQjwR/tH0Xiei/PoCuPtCYCAx4flxosyPKbHyVS06Lv2cTtNr2VNpe5PyIh5UfA3x+X0a2B34rruvaq0MV5O7O/Ecpf7As8QDFM9z91tSEsVXU9sSN9qLXcfqMbZK1h2IG4DHAF8DniCuYwNSDEGU01Ki3EjXtCHEM3AeBVYB/9IaJ1Ft7Robi82fFBERERER2bCo50ZERERERGqCGjciIiIiIlIT1LgREREREZGaoMaNiIiIiIjUBDVuRERERESkJqhxIyIiIiIiNUEP8RQRkTbHzDoDfwa6ufurVc5OSWbWCPyTuz/YAsfeEhjk7tO+7GNXi5kdBPwR2BjYmQ3g/1hENizquREREWmbRgA/rnYmREQ2JGrciIiItE3tqp0BEZENjYaliYhIVZlZF2Ai8G1gFTAJuCWXZmvgauBY4EPgLmCEu7+b3j8KGAU0AB8D9wFD3P0dM7sU+AbwFnAS8DbwK3cfU2H+BqVj7wosBka7+28ySfqa2TjAgMeAk939z2nfHuncDgCWAJOB8e7emN4/FrgM6AK8BFzg7veZ2Y+AkSlNo7u3S0O6xqVzfBOYvA7nsDMwHugPfAbMAM4BPknnNNLdp2bSvwBc4+7XmNmBad9vAq8Dl7v7TSndNKIR1gvoBBwMrAauAg4khp89Dgx19+cryauIyPpQz42IiFSNmW0CPEBUiA8ABgM/A07MJb0e2A7oBxxJNCSmpWN0AW4HfkU0Yo4DvgP8JLP/QOBToDdwLTDazBoqyN/XiIbWVelvjgammtk3MslOBc4G9gO2BsamfTcjGllzicr/MOAs4Iz0/h7ATcDlRMNhCnCHme0J/CfRkJkP7GBm7dM53g10B04HLjGzQys4hw7AQ8CWwEGpfA4Hxrn7Z8Bvge9l0vcEdgduM7OOwL3AzSmPo4CJZnZ05k/8MG0/HHiBaHguAvYE+gLtC2UiItLS1HMjIiLV1B/YEdjX3VcBz5nZ6cD2hQRmthswANjO3VembScDC82sE/Fddqa7T0m7LDSzB4Eemb/zNtHTs4Zo2IwA9iUq4+XsRPQ+LHH3RcBvzGwRsDyTZrS7P5TydR2p8QL8AFjp7hek16+Y2UXAJURvzjnA9YVeEOA1M9sfGObug83sPWC1uy8zs22AbYDl7r4wneN3iZ6U5hxGTN7vkym/04F7zOwC4FbgETPbOv0fHAf80d2Xm9kv0u8T0rFeTQ27s4iGFsBT7n5HOu4WwFRgkru/l7ZNAwplICLSotS4ERGRamoAXk2VagDc/ea0WtpVaVN3YujTG2aW3393d/+DmX1sZhcCPYlGTQ+i0l6wMDVsCt4lGi3NeZrouZlpZq8RFfpp7v7XTJrXMr+vAjbN5LtHaqQUfAXYJPWmdAe+aWaDM+9vTPTWNOHuK83scmBSaiDdA9zk7ssqOIfuRBmvzGz7E9Gj0s3d55nZX4CjgelE42ZcZt/Dc+ewETEsrmBhJp/vm9kk4CQz25foSdsbWFFBPkVE1puGpYmISDV9UkGajYD3iWFO2X/dgLlpeNcLRMPmEWJo24wK/k6zE/bdvdHdTwT2ISr+3wbmm9khmWRrcrsVjrsR8N+5PPcihrd9mt6/Mvd+D6LHp1hezicaCxOIRuHDZnZKc+cAfFRkW/vczxnA99Icoa7A7zLncGsujz2BbxU7flq++jFiqNpLxLyhcyvIo4jIl0I9NyIiUk2vALuZ2Vbu/g6Amf0c2CWTxoEtgPbu7ilNV2KS+1BikYA57v7PhR3MrFs69npJQ7BOdffhwJPApWnI2wBirlA5Tsz1Wejun6bjDQIOdfchZubArtlnvKRzX0EsntCY2d6RGM423N2vAK4ws6nA94Hs4gbFvAh0NbNtMr03BxCNssLfnkH05iwA7s/0TDnwrVweTyeGEl5Y5G8dRCws0MvdV6f0h6CV30SklahxIyIi1XQ/sVrXr9OqZp2BnxKT7AFw9xfN7D7gJjMbRvQUTCYaO0vNbAXQM81XWUksJLAf8MaXkL+3gaFm9g5wQ8pfL9buGSpmOnApsQDBL4l5L9eQFkIght3NNrP5xHC3/kSD4Zj0/nvEYgJdiJXWBgDtzWwsMf+mH7EYQHMeBF4myu/8tO/VwAx3XwHg7s+muURn03QhhknAT81sDLGowx7AFcR8oWJWAJsDA81sXjqnM4APKsiniMh607A0ERGpmjQP5hiiwv0kseLZKGK1sKyTiJ6YB4CHicp+oRFwNTAH+D3R+9AZ+DkxhGp987eM6H05hhj6Np1oWF1Xwb7vEpP5OxPndgPRsLkwvT+XWBVuCPA80bA4xd1npkPcTizb/Dzw98ScmB7EPKCZxPn+ooJ8fEYsod1IrNz2X0RjKv+A0FuJYWp3ZvZdBBxFNFKeI+bijHT3ySX+1qNE2U8EngVOAU4DtjWzrzeXVxGR9dWusbGx+VQiIiIiIiJtnHpuRERERESkJmjOjYiI1C0ze4JYvayUE9z9ntbKz9/CzN7ii+WniznA3Re0Vn5ERKpJjRsREalnA4AOZd5f2loZWQ+9KT8S48tYWEFEZIOgOTciIiIiIlITNOdGRERERERqgho3IiIiIiJSE9S4ERERERGRmqDGjYiIiIiI1AQ1bkREREREpCb8P8X3wt1/fQRAAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "goalkeepers_cleansheet = (football_stats_df_clean.query('position == \"Goalkeeper\"')\n",
    "                          .sort_values(by='clean_sheets_overall', ascending=False)\n",
    "                         [['full_name', 'position', 'current_club', 'clean_sheets_overall']]\n",
    "                          .head(5)\n",
    "                         )\n",
    "display(goalkeepers_cleansheet)\n",
    "sns.barplot('clean_sheets_overall', 'full_name', data=goalkeepers_cleansheet)\n",
    "plt.title('Goalkeepers with the highest number of clean sheets');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q9: What is distribution of midfielders home to away assist?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='scatter2'></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wwJSMxrrm62fDMN52rjMaq2cpvu0dzvNphnPilE1YvThjsJLMtHq7VmNNwrPCMIwPsIb4PQX4YM2cmSmmacY593euYRhfYV2DGX8rkUisiUJuxDysY/aT87gcxOoxGwrMc/4wkZpIoJZhGMHO6yEzE+ce4BzWbThisYaTtuPabVUSzvj6nTMuuPbjy2qsW6dUJvFrvwloahjGG1jXv5V1ruudpE1M09zsnPSnPtYMtGnZCsQCbxuGMdnZXheuJXx5TNO8YhjGFuBNwzDisGZGLYU1zHO1aZpnDMNIz2dYQuk5v+I/f9oYhrEsQW+niORw6uETkeysIta1K+uwvsB9iDUBwrPOfykyTfMHrCFYZbCGYy3CSpJCnBMv4Cz/E+vX+6czGNd3WJM2zMG6H9cvQMP4CT9M0zyP1TMVg3UN0His2xMk/aI2AziENdtg4xT242esHgt3rGnbP8a61cDDSSZIyTDTNE9gDfvahPVlewnWZCdtTdOcdSNt30BMX2LNolkB67YHz5Dx1wbTNOc626nibGc61kQb9eNnzUxhnTCsnqBIrMT9LWASySeu6Yr1ej6HNdnGcKyJQRrFz6aYSvvbsCbu8MJKopZhTejROsHsl5ni7B1qh5U0fIE1G+bvQI34GRtvoO1LWL15P2Mltt9x7VYXL6WxKlg/StTAmv3VKzNxJngvxWG9j+diXTf4KFZPet0E1TdgDQ09ZJrmQef6+7HeM2ecy+O9jTXB0stYwy0HYCWhI4DyCXvwnVZg/YjzRVo77Nzek1jXiy7D+syKw0oWHQnifRHr/d8b6/YvY7DuJdjO2U56PsMSbjc959fPWD8gjcW6flBE7hJuDseNXnYhIiIiknM5e+S2mqbZLatjERHJKA3pFBEREUnCee+8V7BueF6JTPQ2i4hkB0r4RERERJK7gnW9sDfQI7XhwCIi2Z2GdIqIiIiIiORQmrRFREREREQkh1LCJyIiIiIikkPd8dfwxcXFOez27Dcs1WZzIzvGJRJP56hkdzpHJbvTOSrZnc7Ru4enp+0MUCilZXd8wme3O4iMvJzVYSTj7++TLeMSiadzVLI7naOS3ekclexO5+jdo1ChvIdSW6YhnSIiIiIiIjmUEj4REREREZEcSgmfiIiIiIhIDqWET0REREREJIdSwiciIiIiIpJD3fGzdIqIiIhI1rly5RIXL0Zit8dmdSiSxMmTbjgcui3Dnc5m88DX15/cufNkan0lfCIiIiKSKVeuXOLChf/w9y+Ep6cXbm5uWR2SJGCzuWO3x2V1GHIDHA4HMTHRREaeBshU0qchnSIiIiKSKRcvRuLvXwgvL28leyK3gJubG15e3vj7F+LixchMtaGET0REREQyxW6PxdPTK6vDEMnxPD29Mj1sWgmfiIiIiGSaevZEbr0beZ8p4RMREREREcmhlPCJiIiIiGQDMTExLF++9Ka0FRxcnT/+2HTdesePRxAcXJ2jR4/clO1K9qOET0REREQkG/jppx+ZP392VochOYwSPhERERGRbED3zJNbQQmfiIiIiNxVIiKO8eqr/QkNfZQ2bZrz6adzUhzaOHv2DHr2fAGAlStX0L17F95441WaNKnHihXL6d27O5MnT6Bjx9a0bt2MyMhITp06ybBhrxASEkzbti2YPn0aMTExrjZ69nyBuXNn0rJlCI8/3oSpUycRFxfH1q1/8tZbozh9+hTBwdU5fjziuvtx7lwko0a9QZMm9WjZMpSpUycRG5t8Jsd27VqxYsVy1/OtW/8kOLh6orpr166mbdsWNG5cjylTJqbYjtyZdON1EREREblrREdHM3Bgb+69twwzZszh9OnTvPnmsHT1ru3atYOqVbvQvXsvfH3z8uOPK1m5cgWTJn2At7cX+fLlo1u35yhdugyzZy8gMvI/Jk4cT2xsLH36DABg9+6dFC5cmA8/nMX27f/wzjvjqFmzFtWr16Rv31dYuHA+c+YswN8//3Xjee21wcTF2Zk69WNiYqIZOfJ1/P39ee65FzJ8XFasWM7IkeOw2+2MGTMCHx8funfvleF2JPtRwiciIiIid40///yDM2dOM2vWZ/j6+lK6dFkGDhxCZOR/6Vr/2Wefx8cnj+t5rVqPULlyFVfbERHHmDFjLjabjZIlSzFw4BAGDuxNz559ALDb7Qwe/Dq+vr6ULFmKZcu+YM+eXdSuXQdfX1/c3d0pUKDgdeMICzvAP//8xeLFXxMYGATAoEHDOHv2TEYPCQC9ew+gUiVrP7p168kHH7ynhC+HUMInIiIiIneN8PAwihcPwtfX11XWuHEzjh+P4P33J6e5br58+RIlewABAcVcjw8dOsjFixdo2rS+q8zhcBATE8PJkyecbfgn2raPT55MDZ8MDz9Injx5XMkeQO3adTLcTrzy5R9wPb7//nKcO3eO//77j/z5r9/TKNlbliR8hmF4A1uA/qZp/uQsuweYATQB/gXeNE1zflbEJyIiIiI5k4eHZ4rlKd3Y2m63J3ru5eWdrI6Xl1ei+oGBQbzzzpRk9QoXLgKAp2fy7WdmshZPz/R/jU+6b0n3C8Dd/drUHnFxcc5tpHys5M5y2ydtMQwjF7AIqJBk0TygAFAHGA3MMAzjkdsbnYiISM7j5uaGl5cNm01ztYkEBQUREXGUS5cuuspmz57BO++MA+DSpUuu8oiIYxlsuySnTp3Ezy8fgYFBBAYGcfbsWT7++ANXEpWWlJLO1AQGluDSpUscO3bUVfbdd8vp2/elZHU9PDwS7W9K+3XgwH7X4927d1KgQMFEPZFy57qtn/yGYTwAbATKJCkvA7QCupumud00zTnAAkADh0VERG6Aj5sX/pdzkesXG74HPPG35c7Ql0qRnKZmzdoULlyECRPGER5+kA0b1vPll4tp0eIxChcuwmefzeHYsaP88MP/2LDhtwy2XYtixYozevQb7Nu3lx07tjFhwhjc3d3x9k7eO5hU7ty5uXjxIocPH7ruMM977y1N9eo1efvtMezbt5d//vmbefNmU7NmrWR1y5evwPLlywgL289ff21hyZKFyepMmTKRHTu2s3nzJmbP/phOnZ5O/45Ltna7f+qrC/wfUDtJ+cPAcdM09yco+y2FeiIiIpJOnh42vA65E/X6FWKXRhPzfhQx06PJ63b9L54iOZXNZmP8+EmcP3+Orl2fZuLE8Tz//Is0atSYYcOGExZ2gGee6cCqVT/y3HMvZrjtt9+ejLu7jZ49uzJkyAAqV36IoUPfSNf6VavWoGTJUnTp8iT79++7bv3hw0fj5+dHz55dGT58CCEhTXjyyWeS1evWrScFCxbkhReeYcqUd+nWrWeyOu3adeC11wYxfPhQmjRpTseOT6UrZsn+3LLqBo+GYTiAUNM0fzIM4xXgSdM0qydY3gxYbppmmv8rxcTYHZGRl29xtBnn7+9DdoxLJJ7OUcnudI7euLx4Ezc5BsfRxEPJvMfn5j/vK1kUVc6hcxROnDhEQEDJrA5DUmGzuWO3X38oqdwZ0nq/FSqUdwtQPaVl2WWWTh8gKklZFOBlGIabaZqpZqU2mxv+/j63NLjMsNncs2VcIvF0jkp2p3P0xrlfgqjo6GTlbnHZ8//OO43OUTh50k3XhmZzen1yDje3zH12Z5eE7yqQtCfPG7iSVrIHYLc7suWva/rVT7I7naOS3ekcvXFeHh7kbu5FzLxrv6m6FXPHnsfBuUj18N0onaPW7JLqQbo1unZ9miNHDqW6fOTIt6hTp26abaiHL2dxOFLPewoVypvqetkl4TsGBCQpCwCOZ0EsIiIiOUJ0bCxeVWx4DspF3K+xuAW5Y6vrwTmU7Ilkd2+9NZHY2JhUl6fn5uwikH0Svo1AccMwSpmmGe4sC3aWi4iISCZdjIvCFuSO59M24tziiI65u3ukRO4UAQFJ+0JEMidbJHymaYYZhvEj8KlhGL2BakBnoEHWRiYiInLns9vjsKNhXSIid6NskfA5PQvMAjYBJ4AXTdPckLUhiYiIiIiI3LmyLOEzTdMtyfNTwGNZFI6IiIiIiEiOo3laRUREREREciglfCIiIiIiIjmUEj4RERERuWsMGtSXMWNGJCrbsGE9wcHVmTp1UqLyb7/9mubNG+FwpHlb6Ovat8/kn3/+SnHZ8eMRBAdX5+jRI8mWffLJR/Tu3f2Gtp1e7dq1YsWK5cnKN2/eRHBw9XS1sXXrnwQHVyc2NhZIe7/To02b5qxcuSLT64tFCZ+IiIiI3DUqV67Krl07EpVt3fonBQsWYuvWzYnKd+7cTuXKD+HmlmjqiQx77bXBHD6c+k3Uc4qKFSvzzTc/4OFhTRNyt+x3dqeET0RERETuGlWqPMTRo0e4cOGCq2zr1j958smnCQs7wH///ecq37lzOw89VO2Gt3mjPYR3Ck9Pz0Q3hL9b9ju7U8InIiIiIneN8uUr4OXlxZ49OwG4cOEC+/fvpXHjZhQvHsjWrX8CcPHiRQ4dCnclfNHR0UydOomWLUNo3rwRw4cP5d9/z7raXbbsS9q3f5yGDR/huec6sX79OgB69+7OiRPHmTBhLOPGjbyh2NevX0fXrp1p2PARmjSpx4gRw7h06SIAs2fPYOTI15ky5V1CQ+vSvv1jbN68ia++WkyrVo1p2TKUpUu/uKHtAwQHV+f777/juec6ERpalz59enDs2FEg8ZDOlPY7LOwAffu+RMOGdejYsTWLFi1IlBQuX76Utm1b0KRJPT77bO4NxyoWJXwiIiIikmU8du4lz4ef4Tt+Onk+/AyPnXtv7fY8PKhQoSI7d1rDOv/6awslSpQkf/57eOihaq5hnTt3bidvXj/Klr0PgBkzPmTHjm1MmDCFDz6YgcMRx6uvDsDhcLB37x7ef38SffsO4PPPl9KwYSgjRgzlwoULvPXWuxQuXITevfvTr9+gTMcdEXGMN954lccff4KFC79izJgJbN26meXLl7rqrF27mty5fZg3bxGGUY7XX3+VLVs2M23aDB5/vC3Tpk3m3LnIGzh6lrlzZ9Knz0CmTZvBv/+eZcaMD5PVSbrfUVFXGTSoLxUqVGT+/EX07z+YL79cxNKlSwDYtGkD778/ie7dezF9+hx27tzO6dOnbjhWyV43XhcRERGRu4jHzr3kWrkWN+ckH27nL5Jr5VquArEV7r9l261c+SF277Z6+LZu/dPVi/fQQ9WZM+cTIPH1e1evXmXZsi+YMWMu999fDoDhw0fTvHkjtm37m8jISNzc3AgIKEpAQFGeeeZ5ypevgKenJ7ly5cLd3Z08eXzx9fVNNaYuXZ5Mdq1gTEwMDz5YCQC73U6/fq/w+ONtAShatBjVqtXk4MEwV/28ef3o3r0Xbm5uNG3akjVrVtOnz0CKFStOx46dmT9/NhERx8iXz/+Gjl+HDk9SvXpNAFq3bscXXyxKVsfPL1+i/f7uu+XkzetHjx4vAxAUVIJu3Xoyd+5M2rXrxIoVy2nUqDFNm7YAYOjQEbRt2/yG4hSLEj4RERERyRLeaza5kr14brGxeK/ZdMsTvm++WQbA1q2b6drVmgmzatVqjB59mP/++5cdO7ZTq9YjAEREHCUmJoaXX+6WqJ3o6GiOHDlESEhTKlWqwvPPd6Z06TLUqfMoLVs+Tq5cudId04QJ71GkSECisiVLPufgwQOAlSB5enoxf/5swsIOEB4exsGDYYSENHHVDwgo6koavb29XWUJn0dHx6S4fQ8PD+Li4pKVOxwObDZborLixQNdj/PkyYPdHpt0tWTCw8MJDw8jNLSuqywuLo6YmBhiYmIIDz9Iq1aPu5b5+/u7Ypcbo4RPRERERLKE2/mLGSq/WR58sBLnz5/DNPcQHn6QKlWsHr6CBQsRGFiCbdv+ZvfunfTs2QewetcApk37JFkvnb9/fnLlysWUKR+xbdvfrF+/jjVrfmbZsi/48MNZriGh11OkSACBgUGJyvLmzet6vG/fXnr1eoFHHqlL5coP0alT52Q9a0kTMwB39/RdweXrm5dLly4lK79w4XyiOAA8PDwTPU/P5Cx2u50qVaoxePCwZMvi407aTvxsn3JjdA2fiIiIiGQJh1/KQxxTK79ZcuXKhWGUZ/nyr7j33jL4+18b4li1ajXWrFmNm5ubK1krXrdaDesAACAASURBVDwQm83GuXORBAYGERgYhL9/fqZNm8yJE8fZsWMb8+fPpnLlh+jVqy8LF35F/vwF2LhxPcAN39YB4McfV1KxYmVGjXqLtm3bU758BY4ePXzTZsIsU6YsO3ZsS1a+Y8d27rvPyFSbCfe7RImSHDlyiICAoq5juG+fycKF83F3d6d06TLs3r3LVf/SpYtERBzL1HYlMSV8IiIiIpIlouo/jCNJL47Dw4Oo+g/f8m1XrvwQP/30I1WrJr6p+EMPVWPdujWJ7r/n45OHVq1a895777Bly2YOHQpn3Lg3OXBgP0FBQXh7ezN37kyWL1/K8eMR/Pbbr5w6dRLDKA9A7ty5OXQonPPnz2U63nz58hEWdoCdO3dw5Mhhpk17j927dxETE535g5BA27Yd+P33dcyePYPDhw8RFnaAxYsXsGLF13Tq9HSm2ky4302aNCMmJoYJE8YSHn6QzZs3MnnyO+TN6+fcfnvWrl3N8uVLOXQonAkTxhEdfXP27W6nhE9EREREskRshfu52rwecX6+OIA4P1+uNq93S6/fi1elSlWuXLmS7D57Dz1UnatXryYr79NnADVr1uLNN4fx4ovPEhUVxeTJH+DtnYv77jN4/fWRfPnlIjp3bse0ae/Ru3d/atSwEte2bTvwzTfLmDBhbKbjbdeuExUrVmbAgJfp2bMrJ05E8Pzz3di37+bMamoY5Zg8+QP++msL3bo9S48eXVi9+idGjRrPww/XzlSbCffbxycPkya9z/HjEXTt+jRjx46kWbOWdO/eC7Bej9deG8nChZ/y4ovPUKhQIUqXLntT9u1u53an3xAxJsbuiIy8nNVhJOPv70N2jEskns5Rye50jkp2p3MUTpw4REBAyawOQ1Jhs7ljtyefiEXuTGm93woVyrsFqJ7SMvXwiYiIiIiI5FBK+ERERERERHIoJXwiIiIiIiI5lBI+ERERERGRHEoJn4iIiIiISA6lhE9ERERERCSHUsInIiIiIiKSQynhExERERERyaGU8ImIiIiIiORQHlkdgIiIiIjI7RQcXD3R83z58hEcXI9+/V7BxyfPLdnmuHEjsdvtjBgx5pa0L5IaJXwiIiIictcZPfptKleuQlxcHCdPnuTdd99i2rT3GDLkjawOTeSm0pBOEREREbnr5M2blwIFClKoUGEefLAi7dt34uefV2V1WCI3nRI+EREREbnr+fvnT/S8d+/ufPLJR67nx49HEBxcnaNHjwDWsNCZM6fTsmUI/fr1YuXKFfTs+QJz586kZcsQHn+8CVOnTiIuLi7F7f366xqefroDjRrVoWvXzmzc+DsAO3Zs59FHa3L27BlX3cOHw6lX72H+++/fm73bchfQkE4RERERyTIeu9bjve5L3M6fxeFXgKi67Yl9oM5tjSEyMpKvvlpM48bNMrTeb7+t5aOPZhEba2fPnl3s3r2TwoUL8+GHs9i+/R/eeWccNWvWonbtxPuzb99exowZwSuvDKFixcps3ryR114bzIwZc3jwwYoEBBRlzZqfeeKJjgD8/PMqqlWrQf7899y0fZa7hxI+EREREckSHrvWk+vHObjFRgPgdv4suX6cw1W45UnfkCEDsdnccTgcXL16FT+/fPTvPzhDbTz2WBtKlCgFwJ49u7Db7Qwe/Dq+vr6ULFmKZcu+YM+eXckSvsWLP6NFi8do2rQFAMWLt2PXrp189dUShg0bQUhIE375JXHC99RTz9z4TstdSQmfiIiIiGQJ73VfupK9eG6x0Xiv+/KWJ3yDBw+jYsXKAFy4cJ7/+78feOml5/nkk/mUKFEyXW0EBBRL9DxfPn98fX1dz3188hAbG5tsvfDwcMLC9vO//33jKouNjaV8+QoAhIY2ZcGCeZw5c4bz5yOJiDjKo482yPA+ioASPhERERHJIm7nz2ao/GYqWLAQgYFBrufly1dg48b1rFixnJdf7oebm1ui+na7PVkbXl5eiZ57enomq+NwOJKV2e12OnV6mhYtHktx/XvvLU3p0mVZu3Y1kZH/UatWnUSJpEhGaNIWEREREckSDr8CGSq/1RwOsNutHjlPT08uX77kWhYRceymbadEiZJERBwjMDDI9e/HH1fy669rXHVCQhqzfv06fv/9N0JCmty0bcvdRwmfiIiIiGSJqLrtcXgk7iVzeHgRVbf9Ld/2hQsXOHv2DGfPniEi4hgzZ07n2LEjNGgQAkC5cg/wf//3A7t27WDPnt3Mnj0jWa9fZnXo8BRr1vzMkiULOXr0CMuXf8Wnn86hePFAV52QkKb8/fdWjh49TJ06wTdlu3J30pBOEREREckSsQ/U4SpkySydI0YMdT328vKmbNn7GDv2Hdd1fZ06dSYsbD+9e/egUKFC9OkzkNdfz9ikLql58MGKjBgxhrlzZ/Lxxx8QEFCUYcNG8Mgj1xK7gIAADMOgWLHieHvnuinblbuTW0rjiu8kMTF2R2Tk5awOIxl/fx+yY1wi8XSOSnanc1SyO52jcOLEIQIC0jfBiWRchw6PM2DAq8lm+Uwvm80duz3l+wDKnSet91uhQnm3ANVTWqYePhERERGRbGTDht/488/NxMXFUbNmrawOR+5wSvhERERERLKRJUs+JyzsACNGjMFms2V1OHKHU8InIiIiIpKNTJnyUVaHIDmIZukUERERERHJodTDJ3KX8fKwY/OIIurKOXJ5exETm0cXdIuIiIjkUEr4RO4iXp4xnD2+mu1/TCTOHo2vX0lqhX6Aw5GPuLg7e8ZeEREREUlOQzpF7iI296v8s2E8cfZoAC6eP8SOPybi6RGdxZGJiIiIyK2ghE/kLuHmBlcvnwYS9+RFnt0NKOETERERyYmU8IncJRwOyJ0nAHd3z0TlhYvVwkGuLIpKRERERG4lJXwid5Ho2FzUCnmf3HkCADeKBNalXNVexMToHj8iInL3aNeuFStWLE9WvnnzJoKDq2e63dGjhzNu3MhUl7dp05yVK1dkuv20fP/9dzRv3ogmTerxxReLaNOmebrWmz17Bj17vpDq8p49X2D27BnJyrdu/ZPg4Oqp/uvdu3um90VuLk3aInIXiY11xytPBeo0m4eHzY2YWBtXrnrhcGjCFhERkTvZ1KkTadeuEy1aPMY999xDaGjTW7q9ihUr8803P7ied+36NJ07P0ejRqEAeHp6praq3GZK+ETuMrGxDmJjc+Pv78PFy5dJek2fiIiI3HkuXrxI5cpVKFq0GADe3rf2cg1PT08KFCjoeu7u7o6vr2+iMskeNKRTRERERCQFwcHV2bx5k+v5ypUrEg2V/Oefv+jS5SkaNqzDm28OIyrqaqL1ly9fStu2LWjSpB6ffTY30TKHw8G8ebNo3boZTZrUY+DAPhw5cjjRtmfOnE7LliH069eL2NhYJk4cT8uWoTRqVIf+/Xtx+HA4x49HuIahDhjQm3HjRiaLMyzsAH37vkTDhnXo2LE1ixYtSHV0z9q1v9CpU1tCQoKZMmXiDY8COnnyBG+8MYRmzRrSokUjpkx5l+joaP7771/q1q1BWNgBAOx2O02b1mfatPdc606cOJ6JE8ezefMm2rVrxddff0Xr1s1o0aIRY8e+SXS0Jp1LDyV8IiIiIpJlog+s4sIXHTk/twEXvuhI9IFVWR1Suvz333+8+mp/atZ8mHnzFlKiRCnWrv3FtXzTpg28//4kunfvxfTpc9i5czunT59yLV+6dAk//LCS4cNH88kn8wkMDKRfv55cvXotafztt7V89NEs+vV7haVLl/DHHxt5990pzJ+/GB+fPIwbN4rChYu4hlaOHv02/foNShRnVNRVBg3qS4UKFZk/fxH9+w/myy8XsXTpkmT7dPBgGCNGDKVNmyeYPXsB0dFR7NixLdPHKDo6mr59XyI6OpoPPviEUaPGs379Oj766H3y57+H++67n7/++hOAffv2cunSJbZv/8e1/p9//kGtWo8AcObMadauXc2kSdN49dU3WL36J3744X+Zju1uooRPRERERLJE9IFVXF0/Ecelk4ADx6WTXF0/8bYkfe+99w6hoXUT/RsyZGC611+9ehV+fv707NmXEiVK8cILPTCM8q7lK1Ysp1GjxjRt2oLSpcswdOgIvLy8XMs///wzevbsQ7VqNShZshQDBryKzebBmjU/u+o89lgbSpQoRenSZTh+/Dje3t4EBBQjMDCIQYOG0qtXP2w2m2sYZd68efH19U0U56pVP5A3rx89erxMUFAJateuQ7duPfnii0XJ9mnlyhVUrFiZjh07U7JkKQYOHEKBAgXSfUyS2rDhN/799yzDh4+mTJmyVK9ek/79B/P1119y+fJlataszV9/bQHg77+3UKvWI+zdu4eoqKscPx7ByZMnqFq1BgCxsbH07z+YMmXKUq9eA2rUqMnu3bsyHdvdRNfwiYiIiEiWiNoyC+xRiQvtUURtmYVXmdBbuu3nn+9GgwYhicq2b/8nzVk2EwoPP0iZMmVwc3NzlZUrV941zDA8/CCtWj3uWubv709AQFEALl++zKlTJxk9+g3c3a/1v0RHRyca1hkQUMz1+IknOvDrr7/QunVTKlWqQt269Wje/LF0xBlOeHgYoaF1XWVxcXHExMQQExOTpG4YZcve73ru4eFBmTL3k1nh4QcJCipB3rx5XWUVK1bCbrdz7NgRatasxXffLcfhcPD331sJDW3Gvn172bVrJ0eOHKZSpSr4+Pi41i1ePND1OE8eX+z22EzHdjdRwiciIiIiWcJx6VSGym8mf//8BAYGJSo7fjwizXXsdnui50mvb/Pw8Eh0XVlKyxO2M2rUW5QqVTpRHV/fa8lRwh7BoKASLFq0jI0bf2fDht/49NM5fPvt18ye/VmaE7TY7XaqVKnG4MHDki2z2VK6LVPKMWeGl5d3CvHEuf5WqlSFqKhoDhzYzz///M2AAa9SuXIVtm//h3379vLww7UTrZt05k/NMp4+GtIpIiIiIlnCLU/hDJXfbp6enly+fMn1PCLimOtx6dJl2LdvL7Gx13qZ9u41Ey1POOTw0qWLrvXz5s1L/vz3cObMGQIDgwgMDKJo0WLMmPEh+/fvTTGW77//jnXr1lCvXgOGDh3OnDkLCQ8/yP79+9PchxIlSnLkyCECAoq6trVvn8nChfMT9S4C3Htv4pjtdjsHDuxLs/20lCpViiNHDnPhwgVX2c6d27DZbBQvHoiHhwdVq1Zj6dIvyJMnD0WKBFCp0kP8/ffWRNfvyY1RwiciIiIiWcK72otgS9ILZPO2yrOBcuUeYPHihRw5cpj169cluml6o0aNiY6OYsqUdzl8OJwFC+axc+d21/K2bduzdu1qli9fyqFD4UyYMC5R71/Hjk8xa9bH/PrrGo4ePcKkSW+zefMmSpW6N8VYLl26yNSpk/jjj40cPx7BypUryJ3bh6CgEmnuQ5MmzYiJiWHChLGEhx9k8+aNTJ78Dnnz+iWr26pVa/btM5k7dyaHD4czbdp7iSaayaiaNWtTtGgxxo4dwYED+9myZTNTp06mceNmrmGeNWvW5ocfvqNy5SoAVKlSlc2bN5ErVy5Kly6b6W3LNUr4RERERCRLeJUJJVedQbjlKQK44ZanCLnqDLrl1++l14ABg4mKiuLZZzvy2Wdz6dbtJdcyPz8/Jk36ANPcQ5cundm6dQtNmly7FUKVKlV57bWRLFz4KS+++AyFChVKlMA8+eQztG79BJMnT+C55zpx8OABJk+eRsGChVKMpW3bDjRv3oq33hpF587tWLduLe+88x5+fskTt4R8fPIwadL7HD8eQdeuTzN27EiaNWtJ9+69ktUNCirBhAmTWb16FV26dObcuchkwyozwmaz8fbbk4mLi6N79+cYOfJ16tVrwODBr7nqPPxwbWJiYqhU6SHA6hnNm9fvhrYribnd6WNfY2LsjsjIy1kdRjL+/j5kx7hE4ukclexO56hkdzpH4cSJQwQElMzqMCQVNpu765o5ufOl9X4rVCjvFqB6SsvUwyciIiIiIpJDKeETERERERHJoZTwiYiIiIiI5FBK+ERERERERHIoJXwiIiIiIiI5lBI+ERERERGRHEoJn4iIiIiISA6lhE9ERERERCSHUsInIiIiIiKSQ3lkdQAiIiIiIrfbhQsX+PTTOaxZs5p//z1D4cJFaN78MZ588mk8PG7+V+RffvmJSpWqUKBAwevW7d27O5UqVaF7917Jls2ePYO5c2e6nru7u5Mnjy/VqlWnf/9XKVjw+u2PGzcSu93OiBFjMrYTckdSwiciIiIid5Xz58/Ro8fz5M9/D0OGvE6xYsXZu3cPU6ZM5ODBAzc9ETpx4jjDhw9l8eKvb0p75ctX4O23JwHgcMCZM6cYN24kY8YMZ+rU6TdlG5JzKOETERERkbvK9OnT8PDw4L33PsTb2xuAYsWKky+fP3369OCJJzpSocKDN217DofjprUF4OHhkainsGDBgjz33AuMHPk658+fx8/P76ZuT+5suoZPRERERO4a0dHR/PTT//HEEx1cyV68hx6qxvvvf0yZMmUBCA6uzsyZ02nZMoR+/XrRuXM7Fi6cn2id7t27sHjxAmJjY5k4cTwtW4bSqFEd+vfvxeHD4QC0b/8YAJ06tWHlyhUALFgwj/btH6d+/Vo8/ngTZs36+Ib2y2az4ebmhqenJwD/+9+3dOrUlvr1a9GiRSMmThxPbGxsiuumFYvdbmf27Bm0bt2Mxo3rMXToQM6cOQNYiey8ebNo3boZTZrUY+DAPhw5cviG9kNuPiV8IiIiIpJlzh1axYH/dcT8sgEH/teRc4dW3dLtHTt2lCtXLlOuXIUUl1etWp1cuXK5nv/221o++mgW/fq9QkhIE1av/sm17MSJ4+zZs4uGDUNZunQJf/yxkXffncL8+Yvx8cnDuHGjAJg500oSP/54Lo0ahfLjjytZvHgBQ4a8zqJFy3j++W7MmzeLXbt2ZGqfjhw5zIIF86lWrQa5c+fmn3/+ZtKkCbz00sssXvw1gwYNY+XKFaxd+0uyda8Xy5w5n/Dtt18zZMjrzJw5n6ioKMaOHQHA0qVL+OGHlQwfPppPPplPYGAg/fr15OrVq5naD7k1lPCJiIiISJY4d2gVJ7dMJPbyScBB7OWTnNwy8ZYmfRcvXgDA19c3XfUfe6wNJUqUonTpMoSGNsU0dxMRcQyA1atXUalSFQoXLsLx48fx9vYmIKAYgYFBDBo0lF69+gHg75/f+dcfb+9cFCpUmGHD3qR69ZoULVqM1q3bUaBAAQ4eDEtXTDt3bic0tC6hoXVp0KA2Tz31BLlz52bo0OEAeHt7M3TocOrXb0RAQFEaNAjhvvsMwsOTt59WLA6Hg2++WcaLL75E7drBlCxZikGDhlG+fAXi4uL4/PPP6NmzD9Wq1aBkyVIMGPAqNpsHa9b8nK79kNtD1/CJiIiISJY4s2MWDntUojKHPYozO2aRr2ToLdlmvnz+AFy4cD5d9QMCirkeBwYGUb78A6xevYqnn+7Czz+volWr1gA88UQHfv31F1q3bkqlSlWoW7cezZs/lmKbVatWZ+fOHXz88QccOnSQvXtNzp49S1xcXLpiuu8+g1Gj3gKsWTr9/fPj4+PjWl6uXHm8vb2ZOXM6YWEHOHBgP0ePHqFatRoZiiUyMpLIyP8wjHKu+sWLB9Kjx8tcvnyZU6dOMnr0G7i7X+tDio6O1rDObEY9fCIiIiKSJWIvn8pQ+c1QvHggfn752LVrZ4rLR4wYxq+/rnE99/LySrQ8NLQpa9asJiLiGAcO7KNBg0YABAWVYNGiZYwe/TbFiwfy6adzeOml54mKSj688bvvltO/f0+ioqJ49NEGTJ06ncKFi6R7H7y8vAgMDCIwMIhixYonSvYANm3awAsvPM3Zs2d4+OFHGDv2HSpWrJxiW2nFEn89YErsdjsAo0a9xdy5n7v+LVz4Fe3bP5nufZFbTwmfiIiIiGQJD5/CGSq/GWw2GyEhjVm27Auio6MTLdu69U9Wr16Fv79/qus3bNiYfftMVqxYTo0aD7t6DL///jvWrVtDvXoNGDp0OHPmLCQ8/CD79+/Hzc0tURtff72UZ5/tSr9+r9CsWUvy5fPn33/P3rTZPFes+JqmTVswdOhwWrVqTcmSpTh27GiK7acVi6+vL/7++dm713TVP3LkMK1aNcbhiCN//ns4c+aMK/ksWrQYM2Z8yP79e2/KfsjNoSGdIiIiIpIlCj74Iie3TEw0rNPN5k3BB1+8pdt9/vnubNiwngEDXuaFF3pQpEgA27b9zYcfTqF581ZUqlQl9ZgLFqRKlaosWfI5Q4a87iq/dOki8+fPwc8vH0FBJfjxx5Xkzu1DUFAJHA5rqOb+/Xu5554C5MuXjz//3Ey9eg24fPkKn3zyIbGxscTERKe22Qzx88vHzp3b2b9/Lw6HGwsWzOPs2TPExMQkq3u9WNq378ScOZ9QpEgRChUqwtSpE7n//nL4+eWjY8enmDXrY+65pwClS5fh888/ZfPmTfTr98pN2Q+5OZTwiYiIiEiWiL9O78yOWcRePoWHT2EKPvjiLbt+L17+/PmZPn02c+Z8wtixbxIZGUmxYsXo3LkL7dt3uu76jRo1ZseObdStW89V1rZtB06fPs1bb43i/Plz3HtvGd555z3XPfGaN2/FqFFv0LNnX/r1G8T48aN5/vnO5MvnT8OGofj4+CTqSbsRXbv24K23RtKtWxfy5MnDww8/Qtu27dm3L3n714ulc+fnuHjxIqNGvUFMTAw1a9Zm4MBXAXjyyWe4evUqkydP4MKF89x/v8HkydMoWLDQTdkPuTncbvaNIG+3mBi7IzLyclaHkYy/vw/ZMS6ReDpHJbvTOSrZnc5ROHHiEAEBJbM6jNtu7tyZHDwYxujR47M6lDTZbO7Y7embCEayv7Teb4UK5d0CVE9pma7hExERERFJhwMH9vPDD//jq68Wu2bnFMnulPCJiIiIiKTD3r17mDhxPKGhzahR4+GsDkckXXQNn4iIiIhIOjRr1pJmzVpmdRgiGaIePhERERERkRxKCZ+IiIiIiEgOpYRPREREREQkh1LCJyIiIiIikkMp4RMREREREcmhlPCJiIiIiIjkUEr4REREROSuEhxcnc2bN6W4bOXKFbRp0/w2R3Tjxo0byejRw7M6DMmGstV9+AzDyA9MA5oDV4DPgNdN07RnaWAiIiIicldo1CiU2rWDszoMkZsmWyV8wEdAUeBRoBDwOXAWeDcrgxIRkdvHw8Mdh0cc56Iv453bRtQV/eYnIrePt3cuvL1zZXUYIjdNdhvS2RyYYprmDtM0f8FK+BpmcUwiInKbeHq5cc49lvHbdvPKhr/58fgx3PNkt/+qRCQnSziks3v3LnzyyUeJlr/ySl8+/HAqAGFhB+jb9yUaNqxDx46tWbRoAQ6HA4DZs2cwZMgA+vTpQdOmDdi48XfatWvFkiUL6dLlKUJCgnnllb6cOXPa1fapUycZPnwozZo1pEWLRkyePIGoqCjX8h07ttGz5wuEhATTrl0rli794lYfDskBstv/omeBzoZh+BiGUQxoCmzJ4phEROQ2ifF044VfNrLu+GnMyPNM+mcvPx+NwDt3dhuQIiI3y6mjq9j8Uwd+W1GfzT914NTRVVkdkktISGPWrl3ten7+/Hm2bPmDRo0aExV1lUGD+lKhQkXmz19E//6D+fLLRSxdusRVf/36ddSv35APPviESpUqAzBnzid06tSZTz6ZR3R0FK+9NhiAmJgY+vbtyZUrl5k2bQZjxkxg48bf+eCDKQCEhx+kb9+eVKlSlTlzFvLCCz2YPv19Vq/+6TYeEbkTZbeErxdQH7gAHANOACOzMB4REblNPDzcCTt3jkuxsYnKvz10nKuOmCyKSkRupVNHV7F/27tEXTkJOIi6cpL9297NNklfw4aNOXLkMAcPhgGwbt0aAgKKUq5ceVat+oG8ef3o0eNlgoJKULt2Hbp168kXXyxyrZ8vXz6eeKIjZcveh49PHgCaNWtF06YtKF26LMOGjWDXrh3s22eyadPvnD59khEjxlC27H1UrVqdgQOH8O23y7h48SIrVnxNmTJl6dHjZUqUKEmzZi154omOfP75p1lybOTOkd1+Mi0L/AWMAvyAD4CJQP/UVrDZ3PD397k90WWAzeaeLeMSiadzVLKj/I6oZGWFcnvj7WHDx1/X1Ej2os9ROHnSDZst8/0Hh/bMJM6e+H0fZ4/i0J6ZFC3Z5EbDS5O7u3uKsbu7uwHW61ukSGGqVKnKunVrKFu2LGvW/ExISBNsNncOHTpEeHgYoaF1r8Ue5yAmJpq4ODvu7m4ULVos2TYqV67sKgsKCsLPLx+HDx/i5MkTBAYGkT9/flfdKlWqYLfbiYg4yqFD4Tz4YMVE7VWuXIWvv/4Sm80dNzc33NxItr0beX0ke3Fzy1zek20SPsMwygBTgFKmaR51lr0IrDIMY7xpmidTWs9udxAZefk2Rpo+/v4+2TIukXg6RyU7usfHi+CAgvx24gwAPh42ej9oEHcVImN1vkr2os9RcDgc2O1xmV4/6sqpVMtvpN30iIuLS3EbcXHWNXjxyxo1aszy5V/Rpk17Nm/eRM+efbHb44iNjaVKlWoMHjwshdbdiItz4OnplWwbbm7uicri4qyJqTw8PBNtFyA62hrxEBMTi6enV7LjHRMTS2ysHbs9DofDgcOReH2bzf2WH0e5fRyO1POeQoXyprpedkr5qwEX4pM9py2ADSiZNSGJiMjt5HbVwdCHHmBew9pMql2FxaF1KeDuSWysvrCI5ETeuQtnqDwrNGjQiIMHw/jmm6WUKFGS0qXLAFCiREmOHDlEQEBRAgODCAwMYt8+k4UL5+PunvpX7H379roeHz16hIsXL1KmzH2UKnUvR48e4fz5c67lO3duw2azERgYSKlS97Jz545Ebe3cuY0SJfQ1WdKWnRK+CMDfs94clwAAIABJREFUMIygBGXlnX/DsiAeERG5zeLiwHEZCjk8qVk4ALfLccREKdkTyalKluuGu807UZm7zZuS5brd8m3v2bObjRt/T/Tv0qWLyer5+eWjRo2HmT9/Do0aNXaVN2nSjJiYGCZMGEt4+EE2b97I5MnvkDevX5rbXbp0CevWrWH//n2MHz+aatVqUKrUvVSvXpOgoJKMGTOC/fv3sXXrn0yZMpFGjRqTL58/bdq0IyxsPzNmfMjhw4f4/vvvWLbsS554osNNPzaSs2SbIZ3ARuBvYK5hGAMBH2AG8JlpmmeyNDIREbmt4pTjidwVCgeGAta1fFFXTuGduzAly3Vzld9KM2Z8kKxs1qyUJ0AJCWnChg3rCQm5dl2hj08eJk16///Zu+/4mu4/juOvm5shREQlxAqCHiMo1dLaxGhq1C61W6oVSku1NVpVarRFjRo1itJqtdSvQanRQRXpMI+ZxCaILePe+/sjdStNjJBIxPv5eOThnu855/v9nONE8vEdh48//ohu3TqQM2dOnnqqMT16vHzTdp96qgkzZnzCsWNHeeKJ6vTv/waQOKfw/fc/YNy4Mbz4Yhc8PbPToEEjXnwxFIC8efMxduwEJk0azxdfzCdfPn9CQ/vSpMkzd3oL5AFhufaukMzgn1cxjCfx3XtxwNfAQNM0r9zonPh4myMzjp/XuH7J7PSMSmanZ1QyOz2jcPx4JP7+GlJ4u1q1akLnzs/fsyRNc/iylpt9v/n55dwKVE5pX2bq4cM0zaOA+qVFRERERETSQGaawyciIiIiIiJpKFP18ImIiIiIZFVff70so0OQB5B6+ERERERERLIoJXwiIiIiIiJZlBI+ERERERGRLEoJn4iIiIiISBalhE9ERERERCSLUsInIiIiIiKSRem1DCIiIiLywFq1agXDhg2mV6++tGvXwVk+c+Y0Zs+ekeI5n346l1KlygBw6tRJ5sz5lI0bf+XcuRgKFSpMixZtaNasRYrnHjt2lNatmzq3XVxcyJ37IRo0eIoXX+yFq6t+PQ8P34KPjw+BgSUIC1vGjBmf8O23YRkd1n1LT5SIiIiIPLBWr15JoUKFWbHif0kSPoDSpcsyatSHyc7JlcsHgCNHDvPSS89TtmwQ77wzgjx5fPnzz3AmTPiQEyeO06PHyzdsd+rU2eTPnx+bzcahQ1GMGPEOXl5edO78fNpe4H2oT5+ejBs3mcDAEhkdSpaghE9EREREHkjnz5/n999/4803h/Luu0PYs2c3Dz9cyrnf1dWVPHl8b3j+2LEjCQwszogRY3FxSZwpVbBgIVxcXBg1ajjPPNOSvHnzpXiuj4+Ps+68efMREtKENWtWKeGTNKc5fCIiIiLyQFq37kfc3NypW7c+hQsHEBb2v9s+9+TJE2zduplnn+3gTPauCQ5uyPjxU8id+6Hbrs/HxyfJdmxsLJ98MpEWLZ4mOLg6r7/ej+PHjwGJw0KrV6/M4cOHnMfPnDmNl15KTBbDwpbRo0cX3nprAA0b1mLZsiWEhvZgzpxPefXV3tSrV41OndqyceMvzvMvXrzIe++9TcOGtWjatCGjR4/g8uVLQOIQy+bNQ/j+++9o2rQhjRrVYeHC+YSHb6F9+5bUr1+TkSOHYbfbAbDb7SxYMJc2bZpRt241QkN7sHfvHmdb1atXZvPmTc7tsLBlNG8eAkCrVk0A6NevFzNnTnMeM2fOpzRuHEyjRrWZOHEcDofjtu/tg04Jn4iIiIhkmKijqwj7qQ2Lf6hN2E9tiDq66p61vWrVCqpWfRJXV1dq1KjF6tUrSEhIuK1z9+/fi8PhoHTpMsn2ubm5UbHio7i5ud1WXSdOHGfZsqU0aPCUs+yDD95n/fo1DB48jGnT5mCz2Rg48FVsNttt1blz53YKFQpgxozPqFatBgDz5s0mOLgBM2fOJyCgKKNGvees7/33h3HuXAyTJ3/KmDHjOXQokhEj3nHWd+bMadat+5GJE6fRoUNnpk6dyOTJExg0aBiDBw9j5cowNmxITCBnz57BwoXz6dPnVWbNmk/+/AXo37+3M4G8mRkz5gLw7rujaNeuI5A4T/LAgf1MmfIpAwa8xaJFC5xtya0p4RMRERGRDBF1dBXhO8dy5eoJwMGVqycI3zn2niR90dGn+OuvP6hRoxYANWvWJSYmJkmv144d26hfv0aSry++mA/AhQsXAciRw+uO2u/SpR3169egXr1qtGzZmCtXLtOw4dNA4lDTlSvDeOWV/lSqVJnixUvw9tvDOXLkEJs2bbztNjp37kZAQFEeeigPAFWrPklISBOKFi1Gly4vcPp0NKdOneLIkcP89NM6hgx5lxIlSlKqVGkGDx7G+vVrOXHiOAA2m42XX36FIkWK0qJFa2w2Gy1atKZs2SBq1apD0aKBREVF4HA4WLx4Ed269aB69VoULVqMgQMHY7W6snz597eMOXfu3ADkzJmT7NmzA2C1Whk4cBABAUWpV68BJUqUZN++PTerRq6jOXwiIiIikiG275uBzR6bpMxmj2X7vhkEFKifrm2vXr0SFxcXnniiOgBlywbh6+vH8uXfU6NGbQBKljQYNmxkkvOuLdhybQjmhQsXnElKaowePY58+fxxOBzExJxl8eJF9OjRmdmzP+fw4cPY7XbKlg1yHu/tnYuAgCJERBykWLHAW9afK1cucuTIgc1md5YVLFjI+TlHjhwA2GwJREQcxOFw0LJl42T1HDoU5RyyWqBAQQDc3T0A8PfP7zzOw8ODuLg4zp49w/nz5yhT5t/YXV1dKVWqDJGRB2/r3vyXj49PksQ6Rw4v4uLi7qiuB5ESPhERERHJEFeunkxVeVpavfoHEhISePrpes4yu93Ohg0/ExMTA4C7uzuFChVO8XzDKIWLiwu7du3gySerJ9mXkJDA66/3o0uX5ylf/pEUz8+Xz99Zd+HCAZQqVYaQkHqsXv3DDc+x2ezY7TYsFksK+5IO9byWlF3P1TX5EFOHw4HNZsPT05PZsxck258njy+7du0AEnvarpdSHCm1C2C325xz/G4V+3+5uFiTlWkO3+3TkE4RERERyRCe2fKmqjytHDoUxe7dO+nT51Vmz/7c+TVmzDgSEhJYvXrFLevIlcuHqlWf5MsvFyRLPlauDGPLlk3ky+d/2zFZLBYcDjs2m41ChQpjtVrZsWO7c/+5czEcPhxFQEBRZ+J26dK/c+KOHj1y2239V0BAEa5cuYLdntj2tUR04sSPkrRxO7y8vMiTx5edO/+NPSEhAdPcTUBAESBxjuP18/nuJna5NfXwiYiIiEiGCCrRnfCdY5MM67S6eBBUonu6trt69Uq8vHLSrFlLPDz+7ZEKDCxBuXLlWb78+2S9dikJDe1Lz57P89ZbA3juuc7kypWL337bwLRpk+jatftNE76YmBg8PT2BxMRt4cJ52O12atSohaenJ88805IJEz7Aw8ODXLl8+OSTj/Hzy0uVKk/g5uZG3rz5mDdvFi+91Idt2/5i48Zf7vi9dUWLFqNKlScZPnwoffu+jru7Ox9+OAqbzYavry9RURGpqu/ZZzswa9Z0/Pz8KFy4CJ9//hmxsbEEBzcEoFSpMnzxxecEBpYgKiqSsLBlSVY69fTMzsGDByhduuwdXY8kpYRPRERERDLEtXl62/fN4MrVk3hmy0tQie73ZP5e/fqNkiR71zzzTCuGDx9K/vz5UzgzqYCAokydOpOZM6czaNAALl68QOHCRejX73WefrrpTc/t2bOr87OnpyelS5flww8nkj9/AQBefrkPDoeDwYMHEh8fT+XKjzNhwifOmN98cwjjxo2lY8c2VKxYmc6dX+Dnn9el4i4kNWTIu0yY8AGvvtoLi8VC5cpV6NdvwB3V1bZtey5fvsTYsSO5ePEiQUHlmTRpmnPxmH79BjBq1Ht06tQWwyhN9+49mTlzepLzp06dxIkTxyhevOQdX5Mkstzv41/j422OmJjLGR1GMj4+2cmMcYlco2dUMjs9o5LZ6RmF48cj8fcvktFhyA1YrS5JFm2R+9vNvt/8/HJuBSqntE9z+ERERERERLIoJXwiIiIiIiJZlBI+ERERERGRLEoJn4iIiIiISBalhE9ERERERCSLUsInIiIiIiKSRSnhExERERERyaKU8ImIiIiIiGRRSvhERERERESyKNeMDkBERERE5F5q1aoJx48fS3HfyJEfULNm7TRry+FwsHTpYpo2bYGLi/pa5N5TwiciIiIiD5zQ0L7Ur98oWXnOnN5p2s6ff4bzwQejaNz4GSV8kiGU8ImIiIjIAydHDi/y5PFN93YcDke6tyFyM/pvBhERERGRfyxZ8jUtWjydJFH78ccfaNq0ITabjbi4OCZM+JDGjYMJCanHkCFvcObMaQCOHTtK9eqVmTPnUxo1qkOfPj3p06cnALVrVyU8fAsAYWHL6NChNXXrVqNbtw7Ockgcbrp48Zf07NmNevWq0b17J3bt2nEP74BkNUr4RERERCTD7Dqxium/teHD9bWZ/lsbdp1YlaHx1K4dzOnT0ezc+W+StXbtaurUqYfVamXatMls3/43o0ePZ9KkaTgcdl5/vV+SBPHPP8OZOXMe/fu/wYgRYwD49tswypWrQFjYMj76aDTPPdeZOXMW8PjjVRkw4BWOHz/uPH/27Bm0b9+JadPm4O7uwUcfjbl3N0CyHCV8IiIiIpIhdp1YxQ97xnIh9gTg4ELsCX7YM/aeJH3jxo2hfv0aSb6aNw/Bx8eHypWrsH79jwBcuXKF337bQL16Dbh69SrffLOIAQPepGzZIAIDSzBkyLscPLifv//+01l369btKFiwEAEBRZ1zAnPnfgg3Nze+/voLWrRow1NPNSYgoAg9e4ZSosTDLF78pfP8hg2fpmbN2pQoUZJ27TpgmrvS/X5I1qU5fCIiIiKSIX4+OIMEe2ySsgR7LD8fnEHpfPXTte2uXbtTp05wkrJri6oEBzdgzpxPefnlV9iw4Re8vXNRrlwFDh7cT3x8PL16dU9yXlxcHIcORZI3bz4A8ufPf8N2IyIi6Nz5+SRlQUHliIw86NwuWLCQ83P27Dmw2+3YbDasVuudXaw80JTwiYiIiEiGuBB7MlXlacnHJzeFChVOcV/NmrUZO/Z99u7dw9q1q6lXrwEWiwWbzQbAxInT8fLySlbfhQvnAXB397hhux4eyffZbHZsNrtz283NLdkxWvxF7pSGdIqIiIhIhsjpkTdV5fdKjhxeVK36JOvW/cimTRupV68BkNjzZrVaOXcuhkKFClOoUGF8fHIzceJHN3yvn8ViSbJdpEhRduzYnqRsx45tBAQUSZ+LkQeeEj4RERERyRA1inXH1SVpj5eriwc1inW/wRlp59Kli5w+HZ3s6/LlSwAEBzdk0aKF5MmTh1KlSgOJwyubNHmGcePGsHXrZiIjIxgx4m32799H4cIp9xZ6emYHYM+e3cTGxvLss8/x7bdfsXz5/4iKimTq1Ens27eHJk2eSfdrlgeThnSKiIiISIa4Nk/v54MzuBB7kpweealRrHu6z98DmDRpPJMmjU9W/uyzHQgN7Uu1atUBnL171/Tu3Y/Jkyfw9ttvEhsbR7ly5fnoo0l4eGRLsZ3ixUvw+ONP0KtXd955ZyS1a9fj9OloZs6cxpkzpylR4mHGjZtMYGDxtL9IEcByv48Hjo+3OWJiLmd0GMn4+GQnM8Ylco2eUcns9IxKZqdnFI4fj8TfX0MRMyur1SXJ3EC5v93s+83PL+dWoHJK+zSkU0REREREJItSwiciIiIiIpJFKeETERERERHJopTwiYiIiIiIZFFK+ERERERERLIoJXwiIiIiIiJZlBI+ERERERGRLEoJn4iIiIiISBalhE9ERERERCSLUsInIiIiIg+sVatWUL16ZRYunJ/RodxQq1ZNWLZsSUaHIfcpJXwiIiIi8sBavXolhQoVZsWK/2V0KCLpQgmfiIiIiDyQzp8/z++//0a3bj3Yv38fe/bszuiQRNKca0YHICIiIiKSEdat+xE3N3fq1q3P7NkzCAv7Hw8/XAqA0NAeBAYWZ9OmjcTGxjJnzkLWrFnFwoXzOX36FIULB9CjRy+qVasBwMmTJxg3bgybN2/C2zsX9es34oUXeuLm5kZY2DKWLVvC449XZfHiL7FardSt24Devfvh4uJCQkIC06ZNZvXqlZw5cxpfXz86dOhC8+atMvL2SBahhE9EREREMsya6LXMPjSXU3HR+Ln70rVwJ+r61rknba9atYKqVZ/E1dWVGjVqERa2jNDQvri6Jv6KHBa2jA8/nISHhzsnTx7n448/ZPjwUZQsabByZRhDh77BkiUr8PLy4q23BhAYWJyZM+cTE3OWDz54n4SEBHr37gfArl07yJs3L5Mnf8q2bX8xZswIHn+8Kk88UY358+fwyy/rGT58NLlz52bFiu8ZP34sNWrUwtfX757cC8m6NKRTRERERDLEmui1jD84iZNxp3Dg4GTcKcYfnMSa6LXp3nZ09Cn++usPatSoBUDNmnWJiYlh48ZfnMdUrfokFSo8QqlSZTh27BgWiwV///z4++enY8euvP/+h7i5ubF162aOHj3CwIGDKVKkKBUqVOTVVwfyzTeLSEhIAMBmszFgwCCKFClK48bNKFGiJLt37wQgMLAEb7wxhKCgchQsWIiOHbtis9mIiopM9/sgWZ96+EREREQkQ8w+NJdYe2ySslh7LLMPzU33Xr7Vq1fi4uLCE09UB6Bs2SB8ff1Yvvx7atSoDYC/fwHn8VWqPEH58o/QtetzBAYWp1q1mjRu3Ixs2bIRGXmQixcv0KhRbefxDoeD+Ph4Tpw4DkCuXD54eXk592fPnsOZDNasWZvNm39j4sRxREVFOOcS2my29LwF8oBQwiciIiIiGeJUXHSqytPS6tU/kJCQwNNP13OW2e12Nmz4mZiYGADc3d2d+7Jly8b48VP4++8/+fXXn1m37ke++WYRkyd/is1mo1ChwowZMz5ZO3nz5gPAzc0t2T6HwwHA9OlT+O67bwgJaUrDhiG89tobtGrVJE2vVx5cSvhEREREJEP4uftyMu5UiuXp6dChKHbv3kmfPq9SufLjzvITJ44zYEBfVq9ekeyc7dv/ZsuW3+nS5QUqVKhIz56htG/fit9++5XixUty8uQJvL1z4e3tDcBff/3JV18tZMiQd28Zz9Kli+nbdwD16zcC4ODBA//scdz9xcoDTwmfiIiIiGSIroU7Mf7gpCTDOj1cPOhauFO6trt69Uq8vHLSrFlLPDw8nOWBgSUoV648y5d/j6enZ5JzPDw8mD17Bj4+ualS5Qn27t3DyZMnMIzSVKpUmQIFCvLuu4N58cVQYmOvMnr0cEqUeDhJ/Tfi7Z2LDRt+oUyZIE6fjmb8+A8AiIuLT9sLlweSFm0RERERkQxR17cOfYuFktfdDwsW8rr70bdY6D2Zv1e/fqMUk7FnnmmFae7i4MH9ScpLljQYNOgdvvpqIc8914qJE8cRGtqXxx6rgtVqZdSoj3BxsfLSS90YOLAfFSpU5I03Bt9WPG++OZQDB/bRsWNb3nvvberUCaZs2XLs3WumyfXKg81ybezw/So+3uaIibmc0WEk4+OTncwYl8g1ekYls9MzKpmdnlE4fjwSf/8iGR2G3IDV6oLNZs/oMCSN3Oz7zc8v51agckr71MMnIiIiIiKSRSnhExERERERyaKU8ImIiIiIiGRRSvhERERERESyKCV8IiIiIiIiWZQSPhERERERkSxKCZ+IiIiIiEgWpYRPREREREQki1LCJyIiIiIikkUp4RMRERGRB0pCQgJz5nxK27bPUKfOEzzzzFOMHj2Cs2fPpEn94eFbOHBgHwBhYcto3jwkTeq9W/Hx8SxZsjijw5B7TAmfiIiIiDxQpk2bzOrVP9C//xssXPgNw4aN5MCBfbz2Wh8cDsdd19+nT09Onz6dBpGmrdWrV/LZZzMzOgy5x5TwiYiIiMgD5fvvv+P553vw2GNV8ffPT4UKFRk6dDh79uxmx47tGR1eukmLZFbuP0r4REREROSBYrHA1q1bsNlszrKCBQsxb94iSpYsid1uZ8GCubRp04y6dasRGtqDvXv3OI+tXr0ymzdvcm5fP2yzVasmAPTr14uZM6c5j5kz51MaNw6mUaPaTJw4zpl8JSQkMHnyBJo3D6FWrSq0bNmYb7/92nleq1ZNWLr0G154oRN161bj1VdDOX78GG+9NYB69arRtWt7IiIOOuPo0aML06ZNpkGDWjRr9pRzCGd4+BZGjhzGqVMnqV69MseOHb2t61y+/H907vws9evXoHfvFzly5HCa/T3IvaGET0REREQyzJpTO+i8dQohG0bReesU1pzake5ttm7djiVLvqZVqyaMHv0eq1ev5MKFCxQrFoiHRzZmz57BwoXz6dPnVWbNmk/+/AXo3783ly9fumXdM2bMBeDdd0fRrl1HAE6dOsmBA/uZMuVTBgx4i0WLFrBhwy8AzJ8/h19+Wc/w4aNZsGAxISFNGD9+LNHRp5x1zpw5jR49XmbKlBns3r2Lrl2fo0qVJ5gx4zNcXKzMmDHFeeyePbsxzd1MnTqT7t17Mn78WDZu/IVy5SrQp89r5Mnjy9KlK8ibN99tXefs2TPo3ftVJk6cxpkzp5k2bXKa/B3IvaOET0REREQyxJpTO/h4/3JOxp7HAZyMPc/H+5ene9LXpcsLDBs2koIFCxEWtox33hlEs2aNWLBgLg6Hg8WLF9GtWw+qV69F0aLFGDhwMFarK8uXf3/LunPnzg1Azpw5yZ49OwBWq5WBAwcREFCUevUaUKJESfbtS+xJCwwswRtvDCEoqBwFCxaiY8eu2Gw2oqIinXU2ahTC449XpVSpMlSsWInixUvQrFkLAgNL0KBBIyIj/z3WYrEwePA7BAaWoHHjZgQHN+S7777Fzc0NLy8vXFxcyJPHFxcXl9u6zjZt2lG58uOUKlWGZ55pxa5dO9Pk70DuHdeMDkBEREREHkyfRa0n1p6QpCzWnsBnUeup61c2XduuV68B9eo14MKFC2zZsomlS79hypSPyZ37Ic6fP0eZMkHOY11dXSlVqgyRkQfvqC0fHx9y5PBybufI4UVcXBwANWvWZvPm35g4cRxRURHs2bMbIMlw0wIFCjo/e3hkI18+z+u2PYiPj0ty7EMP5XFulypVmsWLFyWL6ezZM7d1nQULFrou7hzYbEn/viTzUw+fiIiIiGSIU7HnU1WeFvbt28v48R84t3PmzEmdOsGMGzeZUqXK8McfW1M8z263YbfbU9x3fXKWEhcXa7Kya3P4pk+fwrBhg7FarTRsGMK0aXOSHWu1Ju2jcXG58a/wVmvStux2e4rHu7t7pHj+f6/T1dUtxbjl/qGET0REREQyhJ+Hd6rK04LNZuPrr79g+/ZtScotFgs5cnjh75+fPHl82bnz39U6ExISMM3dBAQUAcDNzS3JPLejR4/ccTxLly7mlVf68/LLfQgObsiVK1f+2XNnidXRo0e4dOmic3v37l0UL14SSLzGa7y8vG55nZI1aEiniIiIiGSIzgG1+Hj/8iTDOj1cXOkcUCvd2jSMUjz5ZA0GDRpAz56hVKhQkfPnz7F+/Vr27TMZNOhtPD2zM2vWdPz8/ChcuAiff/4ZsbGxBAc3BKBUqTJ88cXnBAaWICoqkrCwZUl60Tw9s3Pw4AFKl771sFRv71xs2PALZcoEcfp0tLP3MS4u/o6u7+rVq4wZM5Ju3XqwbdufrFmzivHjp/wTlycXL14kKiqSAgUK8uyzHW56nZI1KOETERERkQxxbZ7eZ1HrORV7Hj8PbzoH1Er3+XvDh7/P/PmfMW/ebMaOfR93dzceeaQSkybNIG/efLRt257Lly8xduxILl68SFBQeSZNmuacG9ev3wBGjXqPTp3aYhil6d69JzNnTnfW37Zte6ZOncSJE8ecvWs38uabQ/nww1F07NgWX19fmjRpjpubG3v3mlSrViPV1+br60f+/AV44YWO5Mnjy5Ahw3nkkUoAVKr0GEWKFKVLl3ZMmTLzltcpWYPlfh+HGx9vc8TEXM7oMJLx8clOZoxL5Bo9o5LZ6RmVzE7PKBw/Hom/v4b/ZRZhYcuYMeMTvv02DACr1QWbLeV5h3L/udn3m59fzq1A5ZT2aQ6fiIiIiIhIFqWET0REREREJIvSHD4RERERkSwgJKQJISFNMjoMyWQyVcJnGIYbMBroBFiARUBf0zRjMzQwERERERGR+1CmSviAscAzQDMSXz6yADgNDM7IoERERERERO5HmSbhMwzDB3gJaGya5q//lL0DtM3IuERE5N7ycrPiYQfOXSW31cp5HFplTkRE5A5lmoQPqA5cAVZfKzBNcw4wJ4PiERGReyyX1YrL9hPELtkGVxNwKemLT6fKnHUBu3I+ERGRVMtMq3QWByKAdoZh7DAMI9IwjA8Mw3DP4LhEROQecU2wE//FH3A1AQD73mgSlu8mh6s1gyMTERG5P2WmHr6cQDGgN/DiP9ufkBhj3wyMS0RE7gFXVxfsUTHJyu0HTuMar+49ERGRO5GZEr4EwBvoYJrmfgDDMPoD8wzDeNU0zRR/2lutFnx8st/DMG+P1eqSKeMSuUbPqGRGLgVyJS8LzIPF0x0fd/XySeaif0fhxAkLVmtmGjB2+y5cuMCcOZ+ybt0aTp8+Tb58+Xj66aa0b98BV1e3NGkjISGBGjUeZ/Lk6VSqVJnmzZ+ma9cXaNq0OQkJCQwePJCNG3+lbt1gBg16J8n222+/l6w+u93O4sWLWLZsCYcOReHtnYsnnqhGjx4v8dBDeQB4+eXuVKjwCC++2Iv4+Hj+97+lNG/eKk2uRzKWxXJneU9mSviOAgnXkr1/mEA2wA84kdJJNpuDmJjL9yC81PHxyZ4p4xK5Rs+oZEa5rFbcnq1I/HVz+FyfKsXZq7HY9bhKJqPEAWzkAAAgAElEQVR/R8HhuD8XVTp//hwvvtiV3Lkf4vXXB1GgQEH27NnN+PEfsH//PoYOHZ4m7Vy7NzabHZvNzowZc8me3RObzc7PP//Er7/+zLRpc8ibN1+y7ZTu6+DBA9m1awc9e4ZSpkwQ0dHRTJ36Mb16vci0abPIkcOLESPG4Orqhs1m54cfVjB79qc0bdoiTa5HMpbDceO8x88v5w3Py0wJ30bA1TCMcqZpbvunrAxwgcRXM4iISBZ3zmbDKygfHmXygcOB3WLhHA4t2CIiaeqTTybi6urKuHGT8fDwAKBAgYLkyuVD794v0rJlW8qWDUrzdnPnzu38fOnSRXx8cmMYpVLc/q8ffljOr7/+xLx5iyhUqDAABQsWYsyYCbRu3ZRvv/2aDh264O19/UgJR5pfg9x/Mk0fvGmae4GlwGzDMB41DKMGMAqYYZpmQsZGJyIi98rFeBunbTZs3tk4a7ORkKBsT0TSTlxcHKtX/0DLlm2cyd41FSs+yscfT6V48RIAREZG8NprfahfvyZ16z7JSy89z4EDiYPRwsO30Lx5CB99NJqGDWsxc+Y0AGbPnkHjxvVp3DiY5cv/l6T+Vq2asGzZEmbOnMaIEe8QHX2K6tUrExraI8l2ePiWZHGHhS2jZs3azmTvmpw5czJu3CSefropAKGhPZg+fQrh4Vt47713OHXqJNWrV2b79m3UrPk4p09HO8+NioqgVq0qnD175q7uqWRumSbh+0dH4G9gDbAE+BZ4I0MjEhEREZF0s/bkAbps/prGv3xGl81fs/bkgXRt78iRw1y5cplSpcqmuL9Spcpky5YNh8PBwIGv4u/vz5w5C/jkk1nY7XamTJngPPbUqZNcunSJWbM+JySkCUuXfsOiRQt5882hjBs3me+//y7FNtq160ifPq+RJ48vS5euYPToj5JslytXIdk5+/btvWHMpUuXJXfuh5KUlStXgb59+zvrLF26DP7++Vm37kfnMT/+uIpHH30s2bmStWSmIZ2YpnkB6PbPl4iIiIhkYWtPHmDivg3E2m0AnIq9xMR9GwCokzcwXdq8ePECAF5eXjc97urVqzRp0ozmzVuTPXviQhlPPdWYefNmJznuuec6UbBgIQCWLVtCq1ZtqVatBgCvv/4WnTo9m6zu7Nmz4+XlhYuLC3ny+DrjuX47pbhvFfP13NzcktUZHNyQtWt/pGXLtkBiwte+fcfbrlPuT5kq4RMRERGRB8dnkeHOZO+aWLuNzyLD0y3hy5XLB4ALF87f9DhPT0+aN2/NypVh7N69k6ioCEzTJFeupKsJ+/sXcH6OiDhAx45dnduBgSVwd086bPRu4r5VzLdSv34j5s+fQ3R0NOfPx3D06GFq1qyTJvFJ5qWET0REREQyRHTspVSVp4WCBQvh7Z2LnTt3ULp08iGSQ4e+SXBwQypXfpzu3Tvh7e1NjRq1CQ5uSFRUBPPnf5bkeHd39//UkHShFKs1bV4pU7p0GXbu3JHivjlzPgWgS5cXblpHsWKBBAaWYP36NcTEnKVq1Wqp6jWU+1Nmm8MnIiIiIg8IX48cqSpPC1arleDgBnzzzSLi4uKS7AsP38KaNavw8fHhjz+2cvLkCSZOnE779p147LEqnDhxHIfjxitfFitWnF27djq3Dx8+xJUrafPqjoYNQ/j11584dCgqSfnZs2f4+usvsFgsKZyVvCw4uAG//vozGzb8QnBwwzSJTTK3VCV8hmHkMwxjkGEYnxmGkdcwjDaGYZRPr+BEREREJOvqXKQSHi5Je8A8XKx0LlIpXdvt2rUHcXFx9OvXi/DwLRw5cpjly//H0KFvEBLShPLlHyFXrlxcvXqV9evXcOzYUZYtW8LixYuIj4+7Yb0tW7Zh8eJFrFmzmgMH9jF69Hu4uKRN/0qdOsE89lhV+vZ9mR9/XMWRI4f5/fff6NcvlDx5fGndul2yc7Jnz87FixeJiookISFx0fvg4Eb8+Wc4hw9HUa1a9TSJTTK32x7SaRhGZeBHYCtQDRgG1AY+MwyjmWmaP6RLhCIiIiKSJV2bp/dZZDjRsZfw9chB5yKV0m3+3jW5c+fmk09mMmvWdN57721iYmIoUKAAzz3XhdatExdZCQoqT9eu3Rk3bixxcXEUL16c1157g5Ejh3H8+PEU623U6GnOnYthwoQPiI2NpVOnbuzda6ZZ3CNGjOHzzz9j5sypnDhxHB+f3Dz5ZA2ef/5F58Iy13v00ccoUqQoXbq0Y8qUmZQqVRp/f38Mw6BAgYJ4eGRLs9gk87LcrFv6eoZh/AQsN03zfcMwLgAVTNM8YBjG20Az0zTT979ibiA+3ua40RvnM5KPT3YyY1wi1+gZlcxOz6hkdnpG4fjxSPz9i2R0GHIDVqsLNlvyd5m2adOMfv1e54knqmVAVHKnbvb95ueXcytQOaV9qVm0pSLQNYXyecDAVNQjIiIiIiL32MaNv7Bly2bsdjuPP141o8OReyQ1Cd9JoDSw/z/l1YGjaRaRiIiIiIikuS+/XMCBA/sZOnR4mq0eKplfahK+0cAMwzBGkbjYS33DMAKAPsAb6RGciIiIiIikjfHjp2R0CJIBbnvZINM0pwM9gJbAZWAUUA943jTNyekTnoiIiIiIiNypVL143TTNZcCydIpFRERERERE0lBqXsvgCXQDSgEe/91vmmaPNIxLRERERERE7lJqevi+AGoB64Ar6RKNiIiIiIiIpJnUJHz1gEamaf6SXsGIiIiIiIhI2rntRVuA3aRyzp+IiIiIiIhknNQkcF2ArwzDWAhEAfbrd5qmOTcN4xIRERERSRetWjXh+PFjycqLFQtk3rxFtzy3c+fnadLkGUJDe1C+/CP06PFyeoUqctdSm/AZJL53779z+ByAEj4RERERuS+Ehvalfv1GScpcXTWYTbKe1DzVLwIdTNNckF7BiIiIiIjcCzlyeJEnj29GhyGS7lIzhy8a+Du9AhERERERyWgjRrzDu+8OSVJWvXplNm/elOLxp09H079/H+rWfZJnn23Bpk0bnfsiIyN47bU+1K9fk7p1n+Sll57nwIH9AISHb6F58xC+//47mjZtSKNGdVi4cD7h4Vto374l9evXZOTIYdjt9hTbFbldqUn4+gBTDcNoaBjGw4ZhBF7/lV4BioiIiEjWtfbkYbr+voomP39H199Xsfbk4YwOKVVWrgyjdu26zJu3iNKlyzB8+FDsdjsOh4OBA1/F39+fOXMW8Mkns7Db7UyZMsF57pkzp1m37kcmTpxGhw6dmTp1IpMnT2DQoGEMHjyMlSvD2LBBC+TL3UnNkM6l//y5/LoyB2D5509rWgUlIiIiIlnf2pOHmbT3L2LtNgBOxV5h0t6/AKiTt1C6tj1u3Bg+/vjDJGWLFi29wdE3VqNGbRo3fgaA9u07sWrVCk6fjsbLKydNmjSjefPWZM+eHYCnnmrMvHmznefabDZefvkVihQpip9fa6ZOnUSLFq0pWzYIgKJFA4mKigBq3tlFipC6hK9YukUhIiIiIg+cuRG7nMneNbF2G3MjdqV7wte1a3fq1AlOUubtnSvV9RQs+G+cXl5eAMTFxeHp6Unz5q1ZuTKM3bt3EhUVgWma5MqVtI0CBQoC4O7uAYC/f37nPg8PD+Li4lIdk8j1bjvhM00z0jAMC9AIKE1ij95uYKVpmnoSRURERCRVomP/u/D7zcvTko9PbgoVKpys3GKxJNlOSEi4aT0uLslnSDkcDi5fvkz37p3w9vamRo3aBAc3JCoqgvnzP0tyrNWadJDcf9sXuVu3nfAZhhEAfAeUAEwSE76SwCHDMOqZpnkkfUIUERERkazI18OTUykkd74enhkQTSJXV1fOnYtxbh89eme/4v7xx1ZOnjzBZ5994Xzdw+bNv+FwONIkTpHblZpFWyYBR4HCpmk+aprmI0AAcACYcNMzRURERET+o1PR0ni4JO3h8nCx0qlo6QyKCEqXLsvvv//G77//xoED+xk/fizu7u6pridXrlxcvXqV9evXcOzYUZYtW8LixYuIj9fAOLm3UjOHry5QxTTNs9cKTNM8bRjGQEDLB4mIiIhIqlybpzc3YhfRsVfw9fCkU9HS6T5/72YaNgxh27a/GDRoADlyePH88y9y5EjqVw4NCipP167dGTduLHFxcRQvXpzXXnuDkSOHcfz48XSIXCRlltvtVjYMI4rEF6//9J/y2sBXpmn6pX14txYfb3PExFzOiKZvyscnO5kxLpFr9IxKZqdnVDI7PaNw/Hgk/v5FMjoMuQGr1QWbTe/xyypu9v3m55dzK1A5pX2p6eFbAMwwDKM38Ps/ZVWAj4GFqahHRERERERE7oHUJHxvA/5AGInv3gOwAVOB19M4LhEREREREblLqXktQyzQxTCMvsDDwFVgn2maD/ZYBhERERERkUwqNT18GIbhQ+I7+LIBXoCvYRgAmKa5Js2jExERERERkTuWmvfwdQA+BVJal9ZB4nv5REREREREJJNITQ/fCBIXaHnPNM3z6RSPiIiIiIiIpJHUvHg9DzBFyZ6IiIiIiMj9ITUJ3xKgTXoFIiIiIiIiImnrpkM6DcOYe92mF/C+YRgtgP0kvpLByTTNTmkfnoiIiIiIiNypW/Xw2a77OgvMBXYBcf/ZZ7tRBSIiIiIimcWIEe9QvXrlG36FhS27ZR2XLl1k+fL/ObfPnDnNmjWr0yS+6dOnEBraI03qSq1ly5bQqlWTFPf16NGFOXM+va16/nt/JGPdtIfPNM2uqa3QMIzPgX6maZ6846hERERERNLBK6/0p2fPUAD++utPhg59g6VLVzj3e3l53bKOBQvm8ddff/DUU40BmDx5PC4uVurWDU6foO8z/70/krFS9R6+29QUGAIo4RMRERGRTMXLy8uZ1OXMmROAPHl8U1WHw+H4z3baxJZV/Pf+SMZKzaItIhkiRw533D2teOZww9VVj+zdslggm6srLrF23Nz0+sy0kD27O14eCeT0dMGqWyoikiX88st6unZtT9261ejQoTXr168BEoc9zp07iz//DKdWrSpMnz6FH35YzvLl/6Nt22cAOH/+PMOHD6Fhw1o0a9aQsWNHcvnyZQA2b95Eq1ZN+Pbbr3nmmad4+ul6vPfe28TFxTnbttkS+PDD0TRoUIsmTRrwxRfznfsuXbrIyJHDaNy4PrVrV6V9+5b89NM6ABISEqhevTI//vgD7du3pHbtJxk+fChHjhwmNLQH9epVIzS0B2fOnL5n9wdg69bNdOv2HHXrVqNly8Z8/vlnznqaNw9h0aIFdO78LMHB1Rkw4BVOn44G4PDhQ1SvXpljx446j79+yOuyZUt46aVuvPlmfxo2rMX3339319d1IxYLWCx2LJZ0ayLd6LdnydTcslsJP32Ot7dGMP7vSC5bLWTzTI+O6QeD1eqCD264h50kfsZBsu+6jLfVLaPDuq/l9Ezg7NF1bN3wFrv++AgP1wtk89AzKiJyu9adOEG33zbRdP1PdPttE+tOnMjokPj9998YPHggISFNmTNnASEhTRk69E12795FgwaNaNOmHUFB5fn22zA6dOhC7dp1qVu3PtOmzQFg5Mh3uHjxIlOmzGT06HEcPHiAUaOGO+uPjj7F+vVr+PDDibz++mDWrFnNihXfO/dv2/Y3bm6uzJ79Oe3adWTSpPFERBwEYPz4Dzh8+BDjxk1m3rxFBAWVZ/To4cTHxzvPnzVrOoMHD2P06A9ZvXolvXp1p02b9kye/ClHjx7hiy8+v2f3JyEhgUGDXqdmzTp8/vlX9O3bn5kzp7Fly+9J4n3uuc5MmzaHy5cvM3jw67cdy7Ztf1OsWCDTp3/Gk09Wv6vruhGLxU5sXAwXLh3hSmw0Fos9XdpJL/qtRDItLy8PNp08y5ub9jvLfjoWw+cNymdgVPe3nA4r8R/swXEm8YeCfdcFXFsXxOMxb2LjtfZSauXI4cbxyNX8sTHxh/gp4Nih9dRpugDwzNDYRETuB+tOnGDSnr3E2hN/gT4VG8ukPXsBqJ0vX4bFtXjxl9SpE0zr1s8C0L59R3bu3MbChfMYNmwk2bJ54urqykMP5QHA3d0Dq9WKj48PUVERbNjwC2Fha5xDRwcNeoe2bZ+hT59XgcSeuL59B1C0aDGKFy/BY489zq5dO2natDkAfn556d37VSwWC+3bd2T27Bns37+XokWLUaFCRdq160hgYHEAnn22A2Fhyzhz5rRzaGqbNu0pUyYIq9WFokUDKVWqNDVr1gagWrWaREVF3PDaT5w4Tv36NZKVx8bGOhOq1Nyfs2fPcPHiBR56KA/58xcgf/4CjBs3hcKFCzvrfvrpZjRo8BQAb7wxhHbtWnDgwD7c3T1u+XdlsVjo3LkbHh7ZbnnsnbBYHFy+eoqrV88CEB9/ifj4S3h7FcbhuD/6zpTwSaZ1NSGeL/efSlJ2Id7GrujzVMqTiytX4m9wpqTEYgEuJDiTvWts607hUTEXsRkT1n3NEn+B/eYXScpir57hUkwUbl5liFcSLSJyU3MPRjiTvWti7XbmHozI0IQvMjKCli3bJikLCirPihVhtzw3IiICu91O8+ZPJdt36FCU83PBgoWcn3Pk8MJmS3Bu589fAMt1Ywe9vLycQz5DQpqwfv0ali5dTGRkBKa5GwD7dfexQIGCzs8eHh74++dPsh0Xd+PfoXx9/Zg4cVqy8iFDBjo/p+b+5M79EO3adWTMmBHMnj2DJ5+sTqNGTzuTZYBy5f79z/zChQPIkSMHERERPPywccM4r68/vZK9RHauxsYkKUlIuALYuV8GSyrhk0zLarHgncIcM28PN2w2TQZOLYcDLO7J/2GyZHdFd/MOWay4uedMVuzq7oXdrmRPRORWomNT/u/GG5XfK+7u7snK7Hb7bf3bbrMl4OXlxaefzku2z9fXj23b/gLAzS3plIrrFzpxcUn+8/ra/mHDBrFz504aNQqhefPW5M6dm5dffiHJsdb/TCi3pGLimdVqpVChwsnK3dz+vSepvT+9er3C00835Zdf1vPrrz/Tq1d33nxzqHMVz//Ga7c7cHGxpBi3zZa0jZRiSWsWixWHI+H6AuD+mcx3f6Sl8mCyW+gZVAgP67+PaancOSic05O4uISbnCg3kuDhgkuQ978FLmBtVZAr1vtrLHpmkWDxpNyj/bC4/Pt/Z3nyPUo2T19syvdERG7J1yPlIXs3Kr9XihQpxs6d25OUbd++jYCAIkDyBOr6zYCAoly8eBGLxUKhQoUpVKgwdruNSZPGcfnypbuK6/z58/z44yrefXckzz//IrVq1eH8+XPAvV0ZMzX3Jzr6FB9+OJqCBQvRoUMXPvlkJg0bhrB27Y/OY/bu3eP8HBkZwZUrlylevCSurok/Xy9d+ve+HT16JF2u6caseGVP2tvs6fEQ91PCd8c9fIZheADlgT2maZ67btdQIPpuAxOJjU3A19PKlw0rsPX4GXw9PSjukwOXOAdKT+7MRUc8OTsUxu1UHETHYSnpxRWrnYQEZSd34urVBHJkC6BBiyWcOvw72XMWIKdPIJfjM/YXFRGR+0WnYkWTzOED8HBxoVOxohkVEgBt2z5Hr14vULZsEFWqPMmvv/7Er7/+xLhxkwHw9PQkOjqaY8eOkj9/ATw9sxMRcZDo6FP/zMmrwrBhg+nbtz9ubm6MHfs+VqsLDz2Uh/37991xXB4eHmTLlo1169bg45ObyMgIJkz4ECDJoi3pLTX3J08eX9at+xGHw8Gzzz7HuXPn2LbtL+rXb+Ss76uvvuDhh0uRL58/H300iscfr0rhwgHY7XZ8ff2YO3cWPXuG8uef4WzatPG2hnqmFYcD3FxzkNunOPHxV3B19cDF4nbfzN+DVPTwGYbxsGEYvxqG8aRhGN7AVmATEGUYhnNJHNM0x5mmeT4dYpUH0NUrNlyuJFC7gC9lcuXAfjlBycldcDjgvC2e874uWKrk5qwlnqsaenhXLsXBpdic+BZphLt3EBeueqh3T0TkNtXOl4/Qh0vi5+GBBfDz8CD04ZIZOn8PICioHEOGvMs333xFp05tWb78e957bzSVKlUGoE6dYBwOOx06tOb8+XM89VQTDh2KpFu3DgAMHfoe+fMXoF+/XvTu3RN///yMGDH2ruPy8PBgyJB3Wbt2NR06tGbSpPF06fICDz2Uhz17dt91/bcrNffn6tUrjBr1Efv376FLl3YMHNiXqlWr0alTN2d9ISGNmTp1Ei+//Dx58/ozbNj7QOLQ1jffHMrevSYdOrRm7drVdO7cLcWY0pPD4QION9xcvbHgcV8lewCW2+3+NQzjB+A88BLQHngLqAR0A5qYpvl4egV5M/HxNkdMzOWMaPqmfHyykxnjErlGz6hkdnpGJbPTMwrHj0fi718ko8OQG7BaXbDZMve4qObNQ+je/SVCQppkdCiZ3s2+3/z8cm4FKqe0LzXpaTXgddM0TwHNgKWmaR4B5gJBqQtXRERERERE0ltqEr6LgI9hGL5AdeDa2yEfBk6ndWAiIiIiIiJyd1KzaMs3wJfAFeAosNwwjLbABGBWOsQmIiIiIiJZ2Lff3vrdhnJ3UtPD1xuYAqwBgk3TjAPcgfdM03wrPYITERERERGRO5eahO8tYJppmn1N09wHYJrmPGCuYRgfpEt0IiIiIiIicsduOqTTMIwygP8/m28D2w3DiPnPYWVJXLmzf9qHJyIiIiIiInfqVnP48gKrr9v+OoVjLgLq4RMREREREclkbprwmaa5jn+GfRqGcRB4zDTN6HsQl4iIiIiIiNyl216l0zTNYgCGYbiYpmk3DMMfqAH8cW1On4iIiIiIiGQet71oi2EYVQ3DOATUMgwjH7AVmAnsMAyjeXoFKCIiIiKSVvr378Pw4UOTlG3c+CvVq1dmwoQPk5R/9923hITUw+Fw3LTOvXtN/vrrD+f2pk0badasEfXr1+DAgbvvF9m8eRPVq1e+63rkwZSaVTo/ApYCm4HngXgS5/i9DAxP+9BERERERNJWhQqV2Llze5Ky8PAt+Pr6ER6+OUn5jh3bqFChIhaL5aZ1vvXWAKKiIp3bn3wykSpVnmDu3C8JCCiaZrGL3InUJHwVgbGmaV4EmgJLTNO8SuKiLsXTIzgRERERkbT0yCMVOXz4EBcuXHCWhYdvoV27Dhw4sJ+zZ886y3fs2EbFio/ess7/9gBeunSRoKDy5M9fAFfX255BJZIuUpPwnQYCDMMoCjwGfP9PeWXgWBrHJSIiIiKS5kqXLou7uzu7d+8A4MKFC+zbt4cGDZ6iYMFChIdvAeDixYtERkZQseKjREdHM3jwQBo1qkOdOk/QtWt7/vwzHIDQ0B4cP36M0aPfY8SId6hevTLHjh1lzJgRhIb2ACAi4iCvvtqbBg1q0axZI2bOnIbdbgdg5sxpDBzYj969X6RRozr89tsGLl26yNtvv0X9+jVp164Fe/bszoA7JVlFahK+WcASYCPwN/CjYRgvA3OBj9MhNhERERHJ4tYdP8vzG3bTbO02nt+wm3XHz976pLvg6upK2bLl2LEjcVjnH39sJSCgCLlzP0TFio86h3Xu2LGNnDm9KVGiJMOHD8VmS2Dq1FnMmvU5efPm44MP3gdg5Mix5M2bj9DQvrzySn+WLl3h3B45ciwxMTH06vUCvr6+TJ8+h/793+Dbb7/iiy/mO2P69defqV27LpMmTad8+QqMHfs+UVERTJo0nb59B/DllwvS9Z5I1nbbCZ9pmkOBF4DRQAPTNO1ABNDWNM3x6ROeiIiIiGRV646fZbJ5hFOx8TiAU7HxTDaPpHvSV6FCRXbtSuzhCw/f4hy2WbFiZbZuTezhu37+XrVqNejbdwBFixajWLFAWrRoQ0TEQRwOB97euXBxcSFHDi+8vLzIk8fXue3tnYtVq1bg7u7B668PomjRYtSoUZsXXujJggVznfHkypWLli3bUqJESex2B2vXrqZ371cxjFJUqfIEnTt3S9f7IVlbqgYVm6b57X+2w9I2HBERERF5UMw7cIJYe9L5b7F2B/MOnKC2f+50a7dChYosXfoNAOHhm+nWLXHoZaVKj/Luu1GcPXuG7du3UbXqkwA0b96K1atXsn3730RGRmCaiUMsbTbbLefoRUYe5OGHjSTHBQVVICYmhpiYGAD8/Qs49x06FInNZqNEiYedZYZRJg2uWh5UN31CDcOIAiqapnn6n1cy3HBNWtM0A9I6OBERERHJuqJj41NVnlaCgspz/vw5THM3EREHeeSRxB4+X18/ChUK4O+//2TXrh289FJv7HY7/fr14vz5c9Sr14Bq1WoSHx/PoEEDbqstd3f3ZGV2uy3Jnykdc/2v3Vr4Re7GrZ6eIcDFfz4PTudYREREROQB4uvhxqkUkjtfD7d0bTdbtmwYRmmWLPmaYsWK4+Pj49xXqdKjrFu3BovFQokSJTl4cD9//hnOkiUr8PX1BeCbb75KUt/NXttQpEgx1q79kYSEBGfitn37Nry9c+Hjk7wXMyCgCK6uruzatZMq/2fvzsNjut4Ajn9nJvsegiCbpR07QUsJSmKLfad2LUrtpbWrJWovRe373qJUq/Wz77uqxjISJCIJJSSRPZmZ3x+pYTqhEtFEvJ/nyWPm3HvPfe/JTMw759xzqn0ApK/zJ0RWvfAePo1Gs0aj0SQ/89jwA2wGrpC+PMOa/yBWIYQQQgiRh3QtXghLpXGyZKlU0LV4odd+7ooVvdm3bw+VKxsvaO7tXYWjRw8Z7t+zs7NHqVRy4MD/uHs3koMH97Fy5RIAUlJSALC2tiY0NITY2BiT89Sv3widTsuMGQGEhNzi2LHDrFy5hJYt26BUmn4Ut7W1o2FDf+bNm0Vg4J9cuHCO1auXv4YWEG+Ll560Ra1Wv6tWq4+r1eoaarXaATgPnAZuq9Vqn9cWoRBCCCGEyJM+dHXmM3VRCliaowAKWJrzmbroa71/74lKlSqTmAHXjvoAACAASURBVJhoss6et3dVkpKSDOUFCxbi889HsnnzBrp0ace6dasYPHg4ZmZmhp631q3bs3PndqZPn2JyHhsbG2bNmk9ERDi9enVmzpwZtG3bkU8++fS5sQ0b9gUVKlRi2LABTJ06kTZtOmTjlYu3jeKfC0U+j1qt/h8QC/QDPgJGA5WBXkAzjUbz/usK8kVSU7X66OiEnDj1Czk52ZAb4xLiCXmNitxOXqMit5PXKNy9G4qrq2dOhyGeQ6VSotXqcjoMkU1e9H4rUMD+POnro5vIzDp8NYEvNBrNfaAFsFOj0YSTvg5fucyFK4QQQgghhBDidctMwhcHOKnVahfAB/jl7/J3gajsDkwIIYQQQgghxKvJzByv24EtQCIQAfyqVqs7APOAla8hNiGEEEIIIYQQryAzPXwDge+AA4CfRqNJASyAKcCY1xCbEEIIIYQQQohX8NI9fBqNJg345slztVptCVwDrms0mpeb+UUIIYQQQgghxH/mpRM+tVr9LrAKGAEEAieAMsBjtVrdRKPRHHs9IQohhBBCCCGEyIrMDOlcANwFgoCeQAHAHZgFzMn+0IQQQgghhBBCvIrMLsswQpZlEEIIIYQQQog3gyzLIIQQQgghhBB5VGYSvifLMhwAInm6LMO6v3+EEEIIIYTI9Xx8quLjU5Xw8Dsm23bs2IqPT1WWLv3uP4nj7NnT2V6vXq9nx46t6HS6bKkvMjICH5+q3LkTZrJt6dLvGDCgz0vVs2LFEvr1+9jw/ODBfURFPchSTHfuhOHjU5XIyIgsHf82yeyyDAuB/UC9Z5ZlmPz3jxBCCCGEEG8EMzMzjh8/alJ+5MhhFApFDkSUfS5evMCsWdOyLeHLLp06dWX69PSpP+7ejWTcuJEkJibmcFR5X2YSvgJASaASsEqtVh8B+gDdSZ/MRQghhBBCiDdCxYqVOX78iFFZfHwcgYGXeOcddQ5FlT30+ty5YpqNjQ0ODo5A7o0xL8pMwrcS8ANOAtWB40AEUBlZeF0IIYQQQrxBatWqzR9//E5cXJyh7OTJ41SsWAkbGxujfdevX027di348MPqtGjRkOXLFxu2DRjQh9WrlzNs2EB8fWvSrVsHTp58ulpZTEw0EyeOpWHDOjRtWp9582aTlpZm2B4YeInu3TtRr14N+vf/hIiIcMO2mzdvMGjQp9SrV5MOHVqyadN6Q6IUHx/H+PGjaNy4Hg0a1GH06BFERT0gMjKCQYM+/fsa3+fChXMA7Ny5nXbtWlC/fi369fuYq1cvG87Ttm0zvvtuHi1aNKJLl3ZG8WXGhQvnaNXKn507t9OqlT/+/r5MnjyO5OQkwHhIZ7t2zQHo2LEVu3fvAuDIkUN06dIeX9+a9OrVmVOnThjqTktLY86c6TRq9CGtWzfh9OkTiJeTmYSvFtBTo9GMBv4AftZoNB1IT/aavo7ghBBCCCFE3nY4MoneRx/Ram8UvY8+4nBk0n9yXk/PYri6FuHUqeOGsqNHD1Or1odG++3Zs5vNm9fz5Zdj2LRpOz179mb16uVcuRJo2GfdulX4+TVgxYr1eHh4MW3aFLRaLQCjR4/g7t0I5s1bzNdfz+LIkYNs2LDGcOxPP/3IoEHDWLZsLfHxcXz33TwAkpOTGD58EGXLlmfNmk0MGTKCH37YxLZtWwBYtmwxkZERLFiwlCVLVvHo0UO+/XYOBQsWIiBgBgA7d/5G+fIVOXbsCMuXL2bQoKGsXLmB6tVrMGhQPx48eHr/3J49u5k9ez4TJkzBzOyll+o28fBhFAcO7GXmzHmMGjWOQ4cOsHv3zyb7LVuW3gaLF6/C17c+QUHXmTx5PF26dGft2i00b96K0aNHEBSkAdKTxRMnjjFt2hwmTfqarVu3ZDnGt01mEj4F8OQrhyuk9+wBfA+8l51BCSGEEEKIvO9wZBLfXYnnfpIOPXA/Scd3V+L/s6SvVq06hvv40tLSOHPmFD4+tY32KVCgIKNGTaBq1fcpXLgILVu2JX/+/Ny6ddOwT/XqNfD3b4aXVzF69PiEqKgH3L9/n5s3b/DHH78zZsxESpUqTfnyFRk+fBT587sYju3atSdVqrxHiRIladKkBcHBQQDs3fsb9vYO9O37Ge7uHnzwQU169+7H999vAuDu3QhsbGwoXLgIxYoVZ9y4SXz0UTdUKhX29g4A5MuXD3NzczZuXEuXLt2pVetD3N096N79Y0qVKs3PP+8wxFG/fmNKlnznlYezarVaBg36nJIl36FWrQ+pVq2GUW/iE05Ozn//64SlpRWbN6+jSZPmNGrUhKJF3WjZsi1+fg3YunULer2eXbt20KtXHypVqky5chUYMGDoK8X5NslM+n4e6AZMAS4CDYH5QInXEJcQQgghhMjj1gcnkvyPeUWSdenldQpbvfbz+/jUYeTIYaSlpXH+/FmKFStOvnz5jfapXLkqly8HsnjxAkJDb3H9uoaoqCijCVGKFnUzPLa1tQVAq00jJOQWtra2uLm5G7Z/8EFNo/qfPdbOzo6UlBQAQkJCCAm5Sf36tQzbdTodqamppKam0qVLD4YPH0zTpvWpXLkKtWvXpVGjJhleZ2joLZYsuWo0FDUlJYWCBQsanhcuXPi57fSkxy+jSWD0er1Jj+A/20Or/fchoiEhIdy8Gcwvv+w0lKWlpVG6dFmio6OJjn5EyZLvGLaVKlX6X+sU6TKT8H0J/KxWqxOANcAItVp9FSiKLMsghBBCCCEy6UFSxrNIPq88u5UvXwGVSsWlSxc5evQwtWt/aLLPzz/vYN682TRt2pLatevy2WdDDPfIPWFmZm5ynF6vx9z83z9qK5XGA+6e3KOn1WqpVKkKI0aMMjlGpVJRrlwFtm3bxfHjRzl58jgLFsxl797fmD9/icn+Wq2WAQOG8P771Y3Kra2tDY8tLCyfG6OdnT0ACQnxJtseP441bH/inwngy8zPotVq6dixC02aNDcqNzd/2rbP1vMqw07fNi89pFOj0ZwEPIENGo0mCqgKLCB9ps6Bryc8IYQQQgiRV7lYZfxR9Hnl2U2pVFKjhg/Hjx/hxImjJvfvAfz44za6devF4MGf07hxUxwdnXj4MOqlZpl0c/MgPj7eaL2/n3/eYZIwZsTDw5OwsFBcXQvj5uaOm5s7QUEaNmxYg1Kp5PvvN3LlSiANGjRmwoQpzJw5j99/P8/Dh1Emy0q4u3vy11/3DPW4ubmzefN6fv/9/L83EumJYZEiRfnzz0sm2y5f/pN33838MNB/xujh4UlERLhRjHv27ObIkUM4OTmRL19+o6Gh169rMn3Ot1Wm3k0ajSZOo9Hc+/txhEajWajRaDZrNJps/RpGrVYvV6vVh7KzTiGEEEIIkbt0KWmN5T8+jVoq08v/K7Vq1WHXrp04ODgaDUV8wtHRkXPnznL7dgjXrl1lwoRRpKWlkZqa8q91FytWnKpV32fatMkEBV3njz8usnr1CpOetow0bNiY1NRUpk+fQkjILc6ePcWcOTMM9+fdu3ePb76ZyZ9//kF4+B327v2VQoVccXR0wto6fZZRjeYaycnJdOzYma1bN/Prrz8THn6HlSuX8ssvP+Hp6fXS7dS+fSdWrFjCnj27iYyM4Nq1q0yfHsC9e/do2rTFS9fzxJPexeDg6yQkJNC+/UccOrSfLVs2cOdOGDt2bGXt2pUULeqGQqGgdet2rFq1lLNnT3H16mUWLJib6XO+rXJdX6harfYFPgYO53QsWaVS5XQEeY+VlTlabRqpqbJmi8idLCxUaLVa/p6UTbyiN3zN41zJzEyJTqcjl63DLN5yT+7TWx+cyIMkHS5WSrqUtP5P7t974v33q6PTaalVq06G2wcPHs7XX0+iZ8/OODo6Ua9efWxsbF66h2ncuEnMmTOdfv16YWNji79/Mzp16vqvx9nY2DJ79rd8++0cevXqgr29PY0bN6VPn/4A9O7dj4SEeEaNGk5CQgJlypRlxoy5qFQqSpQoyfvvf0C/fh/z1VdT8fVtwKNHD1m5chlRUffx8PBi6tRZmZqgpW3bjpiZmbFx41pmzAjA0tKK8uUrsHDhMpP7Hl+Go6MT/v7NmDhxLP36DaJ9+06MHz+ZVauWsXjxAlxdCzNq1Hhq1PABoFu3XiQlJTFhwhhUKhU9enzCN9/MyPR530aK3LTooVqttgUuAZFAmkaj+fDfjklN1eqjoxNed2gvz0ZFTFoyYXGPUTvlw1qnIi0pa2uZCLCxMSNBEU9QzC2cLB0oZFUQVYoZqak5Hdmbz8nJhlz13nlD2ViaY64zJyFCi4WDEpUdxKYm5nRYbyyFAnSWKUSlRfEw9RElbItjnmKFTv6MZpmZpZIUlTlBDxNwtbXAyUKBPlEaNDvI31G4ezcUV1fPnA5DPIdKpUSrlW958ooXvd8KFLA/T/otdyZyWw9fAHCI9ITPJ2dDyQJrFauvB7L1Vvp0umYKJXNr1qWMrTMJCf/e7S+MWVqaEaWLosvxvsSlpS+K+n6+KgRUHAuppjdHC/Ffs7RUoYg34/LSJHR/v8WdSilwa2YtSV8W6axS+PrqbA7fS18Xy0Zlzeoai3BWFkCnyz1fUL4pLCzMuJOsY8D+SFL+br/GXlZ8WsEBfaJ0RwshxNvgv7kj9iWo1eoPgHbA8JyOJatSFTpDsgeQptcx+49zPNbLN6lZoVClsVCzzJDsAZx5eJ7wxEgsLHLbdxXibWShM+fOr6mGZA8g+poebYIM7c4KhQIepj00JHsACdpE5l1bhNZcvjTLimSljm8uxBiSPYBfQ5JI1OWa//6FEEK8ZrniU7NarbYEVgBDNBrNI7X65ccTq1QKnJxsXltsmXE74bFJWVRSIijINTG+SR4nx/BX8gOT8vuJUZR2LIWNjUUORJV3qFRKeV2+Il2cjtTHpr1OaXF67AtI22bFjegYk7K/kh6gNFfgaC1tmlmPklOIyqAnLy5Fi6u8/1+Z/B2Fe/cUqFTyBUJuJr+fvEOhyFrekysSPmA8EKTRaH7I7IFarT7XjJ+3szXH1dqWu4lP1yhp4O6FNcpcE+ObxN7ejtZFm/PHo0BDmZXKinL5Skt7ZgO59+TV2dlY4OKt4s6ep734KiuwKijv+azysvHEzsyWuLSnf0dbuTdFlWxOdJy0aWZZWZvR2MuKNVeetmc+KxX5rc3kNZoN5O9o+ppxco9Y7iX38OUtev3z854CBewzLIdcMmmLWq2+BRQGnnxqsgBUQKJGo7F70bG5adIWKytzYhSpLL78ByFxMdQu7E7rYiXRx8l9ElllZqvl0L3jbL2zg/wW+RhUqi+u5q4kxkubvir5oJI9HC1siP4zjQcXdVg4QtEGFmitU0lMlpmFskJpBjGqh8y/toR7SX/Rwr0JdQvURpEoPfpZpbQ1Z/fNOPbdTsbdXkXfik446HWkpMjf0Vclf0dl0pbcThK+vCWrk7bkloTPE3h2Fo6hpAfcWaPRBL/o2NyU8MHf3eaWSlL0OmyVKpLi5UPfq7K3tyA+NQ4zpRkqvSWJidKm2UE+qGQfOxtLFMkKUEEyqfJB+hUplQp05qkozfUoky1Ik+VYXpmllRmJ6DBXACnIB8BsIn9HJeHL7SThy1ve6Fk6NRpN6LPP1Wr1I9J7916Y7OVGWq0OEnTkl/8Ess3jxymABelTNkiyJ3KfuITk9AeS52ULnU4PyWY4WNvIMM5skpyUhhJ5iQohxNtI7uIUQgghhBBCiDwqV/Tw/ZNGoxmb0zEIIYQQQgghxJtOeviEEEIIIcRbxcenKmfPns7SsQEBXzFp0rhsjshYQkICu3fvyvZ6T506weDB/WjU6EOaNPHliy+GcP36NcP2FSuW0K/fx4bnBw/uIyrKdIks8WaRhE8IIYQQQoiXNHjwcIYN+/K1nmPz5vXs2rUjW+vcunUzY8aMoFq1D1i8eBXffrsEZ+d8fPZZH0PS16lTV6ZPnwPA3buRjBs3ksTExGyNQ/z3cuWQTiGEEEIIIXIjO7sXrhiWLbJ7Fv3w8DssXDiPL78cS6NGTQzlo0aNJzIygiVLvmP27G+xsXm6qHdumMlfZA/p4RNCCCGEEOIZf/xxkd69u1GvXk26dGnPb7/9Ytj2zyGd+/btoUuX9vj61qR3724EBl4ybDty5JBhW69enTl16oRh240bwXz2WW/8/Hxo3rwh8+d/Q1paGrt372LVqmX8+ecf+Pikz7KfkpLCvHmzadrUD39/X8aNG8nDh1EAREZG4ONTldWrl9OoUV2mTp1ocj379u3BwcGRBg0am2wbMWI0gwd/DhgP6WzXrjkAHTu2YseObTRq9CH79+81HKfT6WjZsjGHDx/IfAOL/5QkfEIIIYQQIscEhsH8/ymYslPB/P8pCAzL2Xiioh4wYsRg6tdvzNq1m+nZ8xPmzp3JsWNHTPY9d+4MkyePp3XrdqxZsxlv76qMGDGEhIR4goKuM3nyeLp06c7atVto3rwVo0ePIChIA8CkSePw8PBizZrNTJr0NXv27Obnn3fi61ufjh27ULp0WXbu/A2AJUsWEhh4ienT57JgwRL0eh1ffDHUqBfu4sULrFixji5depjEGRwchFpdGqXS9KO/u7sHHh6ma7stW7YGgMWLV9G4cRNq167LwYNPE75Lly6SmJhA9eo1M9fA4j8nQzqFEEIIIUSOCAyDX/5QkKpVABCTCL/8AaCnnHvOxLR9+w9UrlyF9u07AeDm5k5oaAg//LAJH5/aRvvu2LENX98GtG7dDoBPPx0A6ImNfczmzeto0qS5YQhl0aJtuXLlMlu3bmHUqPHcvRtBjRo+uLoWpmhRN2bN+hZHR0csLa2wtrbGzMyM/PldSEpKYvv271myZBXvvlsKgHHjJuHv78ulSxcpWLAQAO3adaJoUbcMryku7jHOzvky1Q5OTs5//+uEpaUV9es3YuTIYSQmJmJtbc3+/XupXbsulpaWmapX/Pck4RNCCCGEEDni4NWnyd4TqVoFB69COfecuYcsNPQWp06doH79WoYyrVZrSICeFRJyi2bNWhieK5VK+vcf/Pe2EG7eDOaXX3YatqelpVG6dFkA+vYdwNy5M/npp+1Ur14DX9+GlCpV2uQcERF3SE1N5bPPehuVp6SkEBYWakj4Chcu/NxrcnR04vHj2Je5/OeqUuU97OzsOHHiKB9+6MvhwwcYM+arV6pT/Dck4RNCCCGEEDki5jkTQD6v/L+g1Wrx82tIjx6fGJVnNBzS3Pz5H6W1Wi0dO3ahSZPm/zjGHIDWrdtRo0Ytjh07xIkTxxk16nO6devFxx/3NakHYP78pSYTxjg5ORsSOQuL5/e0lS5dhvXr16DX61EojBPsEyeOsWfPL4wbN/m5x0P69der14CDB/fj7JwPnU5HlSrvvfAYkTvIPXxCCCGEECJHOFpnrvy/4O7uSVjYbdzc3A0/p0+fzHCZBDc3D65f1xie6/V6unRpx6lTJ/Dw8CQiItyonj17dnPkyCGSk5OZO3cWCgW0bduROXPm07Nnbw4cSL9H7tmkrGhRN1QqFTEx0YZ6nJycmT9/DnfvRr7UNdWt60d8fLzR5DOQPvHKpk3riImJwczMOHn9Z2II4OfXkDNnTnHkyEHq1vUzOUbkTpLwCSGEEEKIHFG3tB5zlfHQTXOVnrqlX/9wzmvXrnLq1Amjn/j4OFq3bkdQ0HUWL15AWNhtDh7cx6JF3xqGTj6rXbuOHDiwl127dnDnThiLFs0nNjaWcuUq0L79Rxw6tJ8tWzZw504YO3ZsZe3alRQt6oalpSWXLl1k7tyZhITc4saNYE6fPoFanT6k09rahqioB0REhGNjY0uzZi355psZnD9/ltDQEAICJnDjRjDu7i93o2PBgoX45JNPmTlzKps2rScs7DbXrl1hwoTRaDTXGDRomMkx1tbpWXdw8HUSEhIAKFu2HM7Ozvz00w78/BpmtenFf0zSciGEEEIIkSPSJ2bRc/Bq+jBOR+v0JPC/mLBlyZIFJmXLl6+lVKkyzJjxDYsXL2DLlg3ky5efXr360qpVW5P9K1SoxBdfjGHVqmV8881M1Go1M2bMxc7OjnLlyjN+/GRWrVrG4sULcHUtzKhR46lRwweASZO+Zs6cGfTt2wOAmjVrM2TICAA+/LAeO3duo2vX9mzduouBA4eycOE8JkwYRXJyCuXLV2DOnAVYWlq99PV+9FFXChQowA8/bGb16mWYm5tTrlwFFi9eQfHiJU32d3R0wt+/GRMnjqVfv0GGSWzq1avPnj27qVCh4kufW+QsxZu+qGJqqlYfHZ2Q02GYcHKyITfGJcQT8hoVuZ28RkVuJ69RuHs3FFdX0yn9Re6gUinRanXZWufUqRNxcnKmf/9B2Vqv+Hcver8VKGB/Hqia0Tbp4RNCCCGEEEK80JUrgVy/fo2DB/exYsW6nA5HZIIkfEIIIYQQQogXOnPmFBs2rKVnz954eHjldDgiEyThE0IIIYQQQrxQjx6fmCxVId4MMkunEEIIIYQQQuRRkvAJIYQQQgghRB4lCZ8QQgghhBBC5FGS8AkhhBBCCCFEHiUJnxBCCCGEEELkUZLwCSGEEEIIIUQeJQmfEEIIIYR4q/j4VDX6adLEl6+/nkRCQvxzj4mMjMDHpyp37oT9a/0vs+/Bg/uIinqQpfhfhkZzjZ49O1O/fm1Gjfqcx48fv3D/gICvmDRpnEl5WloaPj5VuXDh3OsK9V/NmBGAj09Vrl27arLNx6cqZ8+eBqBt22bs2rUjwzoy8/vLayThE0IIIYQQb51Jk6axc+dv/PjjbqZPn8u1a1eZP/+b5+5fsGAhdu78jcKFi7zyue/ejWTcuJEkJia+cl0Z0ev1jB49nOrVa7B8+VoiIyNZvXrZaznX65aWlsbhwwdwc3Pnt99+znI92fn7e9NIwieEEEIIId469vb25M/vQoECBSlXrjzt2nVk//69z91fpVKRP78LKpXqlc+t1+tfuY4Xefz4Mffu3cXHpw6enl6UK1fhje3ZOn36JKmpaXTo0Jl9+/aQlpaWpXqy8/f3ppGETwghhBBCvPWcnJyNng8Y0Ic5c6bToUNLWrZszLVrV4yGBMbERDN69Ajq169Fu3Yt2LFjKz4+VY3qOHbsMB06tKRevZp88cUQYmKiAWjXrjkAHTu2YvfuXQAcP36UXr06U69eTTp3bsuBA/uMYlm9ejnDhg3E17cm3bp14OTJY8+9FgcHB0qWfJdlyxYRFHSdQ4f2U69e/VdvJECn07Fx41rat29BvXo1GTCgD0FB1wFYtGg+/fp9bLT/+vWr+eSTbgDExcUxZcoEGjasQ/PmDZk+PeCFw2gB9u3bQ4UKFalVqw4xMTEcP370hfuHhNw0tOOwYQN5+DAKMB3SGRsby/TpATRr1oAGDeowceJYYmNjALhw4RytWvmzc+d2WrXyx9/fl8mTx5GcnJT5BssFJOETQgghhBA5JuImHNmm4H9rFRzZpiDi5n8fQ3R0NFu3bqZBg8ZG5bt372L06K+YNm02jo5ORtsmTBjNo0dRfPfdcoYNG8GqVaZDJnfv3sWECVOYP38J169rWLduNQDLlq0BYPHiVfj61uf8+bOMGTOCRo2asHr1Rpo3b8XEiWO4ciXQUNe6davw82vAihXr8fDwYtq0KWi12ude08CBQzl9+iR9+nSnW7deNGzon9XmMbJq1TI2bVrPoEHDWLlyPYULF2H48IEkJMTj59eAwMBLPHjw9N7Egwf34+vbAICvv55ITEw0CxcuZ8aMuYSFhRIQ8NVzz5WUlMSxY4epWbM2Li4FKFWq9L8O69y5czudOnVl+fI1aLVpjBnzRYb7jR49nOBgDdOnz2HevO+4fTuUyZPHG7Y/fBjFgQN7mTlzHqNGjePQoQPs3p31IaU5ySynAxBCCCGEEG+niJtw5aQCnVYBQFI8XDkJoKdI8dd77i+/HIZKpUSv15OUlISDgyNDhoww2qd69RpUrFgJSO8heuL27VDOnTvDxo3b8PDw5J131PTs2YdZs742Or5fv4GUKVMOgHr1/AgOTu8Je9Kb6OTkhKWlFdu2fU/t2nVp3/4jADw8PLlyJZCNG9cxZcp0Qyz+/s0A6NHjE3r06MT9+/dxdXU1ubarVy8TEPAVxYoVJyTkFu7u7gAkJCRgY2Pz3DbZv/9/HD166Lnb9Xo927Z9T+/e/fDxqfN3O46lffsW/PrrL7Rp0x5PTy+OHDlI69btiIgIJyhIw9SpMwkPv8ORI4f45Zd9ODg4AjB27ETatm3GvXt3KVTI9DqOHTtMUlIStWqln6t27XqsWLGY6OhonJycTPYHaNGiDfXrNwJg5MhxtGvXnJs3g7G2fnrdwcFBXLx4gfXrf8DLqxgAEyZM5qOP2nLz5g0AtFotgwZ9TokSJSlZ8h2qVavB1auXadWq7XPbJ7eSHj4hhBBCCJEjgn9/muw9odMqCP5d8Zwjss+IEaNYtWojq1dvYtmyNTRs6M+nn/bk9u1Qwz6urhlP8HHjRhC2trZ4eHgaysqVq2CyX9GibobHtrZ2pKSkZFhfaOgtypQpa1RWrlxFQkNvPacuWwC0WtP72RIS4hkxYgi+vg3YsOEH6tSpR0DAVwQFafD3r/fC2TZr1PBh1aqNRj8rVqwzbH/06CGxsTGGJBbAzMyMUqXKGGKtV68+hw8fBNJnIi1XrgKFCrkSEnILvV5PmzZNqV+/FvXr16Jr1/YAhIXdzjCevXt/o1SpMri4FACgTp26pKWlsXfvb8+9htKlyxgeFy5cBAcHR0JCQoz2CQ29hY2NrSHZA/Dw8MLe3uGFbZ5Re78JpIdPCCGEEELkiKTn3L71vPLs5OJSADc3d8Pz0qXLcurUcXbt2sFnnw0GwMLCIsNjVSoz/jnvSkYTsSiVqn/d53nn0em06HQ6w3MzM3OTfTKq7/z5syQnJ9O372coFApGjRrHxx93ZeDAT7GxsaVs2fIZxgBgm1rpnQAAIABJREFUbW1j1CaA0SQpFhaWGR73bKx+fg1Zs2YFMTHRHDy4n8aNmwLpPWbW1tasWrXR5Pj8+V1MymJjYzlz5hRpaWnUqVPNaNuvv+6iXbuOGcaiUBj3Z+l0OszNjVOe5/1eTdvc+LjXPNfOayM9fEIIIYQQIkdY2Wau/HXT6zPuNfsnL69iJCTEG/VMaTSma8Q9j0Jh3IPp6VmMK1cuG5UFBv5p1IP4sqysrEhJSTZMhmJra8dnnw0mLu4xFStWwtIy46TtZdjZ2ZE/v4vRvYVpaWloNNcMsXp4eFKiREl27dpBUJCGunV9DeWJiYnodFrc3NwNieX8+XOIjzfN8A8d2o9Wq2X+/CWsWrXB8NOrVx+uX9dw40ZwhjHevPm0PCzsNnFxj/H09DLax9PTi4SEeEJCnvbm3bp1k/j4+Cy1eW4nCZ8QQgghhMgRJb31KFXG3SZKlZ6S3q+/K+Xx48dERT0gKuoBERHhLFu2iPDwMOrW9fvXYz08PHn//Q+YPn0KQUHXOXv2NCtWLHnpc1tbWwMQHHydhIQEOnbszOHDB/j++42Ehd3m++83Gu6Dy6xKlapQpEhRpkyZwM2bNzh37gzz5s3m3XdLcfz4UTZuXPfvlbxAx45dWLlyKceOHSY0NIQZMwJITk7Gz6+hYZ/0Xr6VeHtXIV++/EB6klytWg0mTx7P5cuBBAVdZ8qUCTx8+BAXF9Mevn379lC1ajUqVapM8eIlDT/t23+ElZUVv/6a8QQqP/ywmUOH9hMcHMTUqROpUaMWHh5eRvt4eHhRo0YtAgImcPXqZcM9jxUqVOKdd9Sv1D65kSR8QgghhBAiRxQpDmU+0GNlqwfS/y3zweufsAVg/PiRtGjRiBYtGtGlS3vOnj3NlCkzKF++4ksdP3r0BGxsbOjbtyczZ07F378Z5uamwy4z4ujohL9/MyZOHMvPP++kVKkyTJgQwM6d2+nWrQO//PITkyZ9zXvvVc/0dZmbmzNz5jzS0tLo2bMLkyaNo169+ixevJIRI0bz++/njIYtZlaHDh/RsmUbZs6cSq9enbl37y4LFiwxJHYAvr4NSEpKxM+vgdGx48ZNws3Ng2HDPmPgwD64uBRg2rTZJud48OABFy9eoGnTFibb7Ozs8PNryN69v2a4Jt9HH3VlxYol9OnTAycnZ0aPnpDhdYwd+xVubh4MHtyfoUMHUKxYcaZNm5PZ5ngjKF73wo+vW2qqVh8dnZDTYZhwcrIhN8YlxBPyGhW5nbxGRW4nr1G4ezcUV9e8NwTu3yQlJXHu3GmqV69puM/rwIF9fPfdPLZu3ZXD0T2lUinRao2TO71ebzKkVLwZXvR+K1DA/jxQNaNt0sMnhBBCCCFEJlhYWPD115NYuXIpERHhBAZeYtWqpS81HDSnSbL39pFZOoUQQgghhMgEpVLJ1KmzWbhwLlu2bMDW1o4GDRrTu3e/nA5NCBOS8AkhhBBCCJFJFStWYunS1TkdhhD/SoZ0CiGEEEIIIUQeJQmfEEIIIYQQQuRRkvAJIYQQQgghRB4l9/BlMwcHCx6nphKdkoSZtQILhYqEBNM1QsTLUanA3EJBkiIJhV6BrdKOuPiUnA7rjWZvb442NZrUpHhsrM3R6a1ISsr6ejxvOwsLsEKFmdYcHTq01noex6XmdFhCGCgUCmyUCswBvR4SlJCaJu95IYR4W0jCl42sbVVoYqL56vdThMfH8V4BV8ZXro61lVI+UGeVVRrTry5kz90DOJjb82WpwVR3ep/k5Dd7/cicYmOjJ+6vC9w6FEBy3D2cPGtSos4YLCysSZE8OkvsdFakrE0h6XwSCkcFZj1V2JZUEp8s73mR8xQKcFIqSdv8O2lX76FwssaucxUSCtqQrJW/o0II8TaQIZ3ZKFGvZ/CpQ4THxwFw9v5dZv1xFp20cpbY25qzLWQnuyP3otVreZQSzahLk4hVxOZ0aG8spS4Bze5hJMfdBfREhx4j5PQCzM0lOckKextzUnclozunAz3oo/WkzkvDMsUip0MTAgArpRLtrsvor9xLf40+SiR18Qls5L9/IYR4a8hf/Gz0OCWFhDTj4ZtnH9wjRS/fomZFYloSRx6eNCrTo+fKw2vY2soH6syysoLExxHodcbDDR/fOYsuLSGHonqzKZN06P78R6EOtOGpWFmZ50hMQjzLXKdHp7lvXJimg5hEZO1l8bYaPnwQkyePNyo7efI4Pj5VmTdvtlH5Tz/9iL+/L/p/+SwXGRmBj09V7twJy/Z4AwK+YtKkcdleb1Y8evSQ/fv/l+31XrkSiI9PVcLD7xiV9+7dndq13yc2NsaovFUrf77/flO2x3H27Gl8fKpme705TRK+bGRnYYGZwrhJ33XMhyqH4nnTWamsKG9fxqS8hGMxUmT8YaYlJYGVXSHA+FOerYsahcoyZ4J6w+ktFCiKmZarCpmTlCT38Ymcp1UqULg7GhcqAAcr5LtI8baqWLEyV64EGpVduHAOF5cCXLhw1qj88uU/qVjRG4V8QwLAokXzOX78aLbX++67pbC2tjH6vcTHx3H9+jWcnfPx++/nDeX37t3l/v2/8Pauku1x5FWS8GUjK2C8dzWsVOkpXmEbW8Z6v4+1Sr7pz4qEpFR6vtOZ0o7vAmCmUNGneHfym+UjVT5LZ4lOaY1HrREoVOk9pFaOHnj5DAesczawN1SSTotFe0sUbn//KVWBqoOSVGt5gYrcIVGvx6xtRRQFbNMLzJWYdahEEpLtibdXpUre3LkTxuPHjw1lFy6co1OnLty8eYNHjx4Zyi9f/lMSi2f8W09nVpmZmVGuXHmuXr1sKLt48Xfc3T2pUcOH8+efJuKBgX/i4OBIyZLvvJZY8iKZtCUbJSfoqFnQla1+TUnWarFSqrBVqYiLk96orNDpwEprx3zvGSTqkzBTmmGjtyYpUT6oZFViojn5izfCxas2Om0KCpUVZhb5iI1NyunQ3kgpKXqSbXWYj1ChSLFAYQ6pFmk8TpKZeUXuoNPpiVUpsRvogzJVB2ZKEhWQpJX7dsXbq3TpslhYWHDt2mXee686jx8/Jjj4OrNmzePHH7dy4cI5fH3rExcXR2hoiCHhS05OZuXKpezd+xuxsTFUrvwew4Z9gatrYaP6Fy2az6VLF1m0aIWhbP361Rw6dIDly9cSFxfH3LkzOXr0EJaWVtSsWZuBA4dgY2PLhQvnmDx5PLVq1WHPnt20b/8RAAkJ8UycOJajRw/h4OBInz79adSoCQAPHjxg7tyZnDt3huTkJLy8ijF48HAqVapMZGQErVs3Zdq02cydO4uYmGiaN2+Nv38zAgK+4vbtEKpUeY+vvpqKtbU1AQFfYWVlzf379zhz5jQeHp4MHfoFFStWYsWKJfz6688AXLp0ka1bdxEbG8uiRfM5duwwycnJ1KxZi6FDR+Dg4Gi4lh49PmH16uUkJyfzwQc1+OKLMVhaWpn8XipW9Ob06ROG5xcunMXbuwrly1dg7dqVhvIrV4x7XX/55Sc2blxLePgdbG1tqVvXjyFDRmBmZkZAwFfY2trx6NFDjh8/gotLQbp164m/fzMgvRdxxoypnDhxDBcXF5o2bWEU019/3eObb2Zw9uxpHBwcqV+/EZ988inm5ubs3r2LHTu2UbBgQc6ePc2AAUNp2rQFa9asYMeObSQmJlC2bAWGDh2Bu7sHAD4+Vene/WN27txGiRLvMnv2t8ydO5NDhw6QmJhA+fIVGTbsCzw8vDL/wn4B6eHLZonxWkjQU8jaDn2inrg4+eD3KpKSUtEmmmGRZIcywUqSvWyQkKAkPskOS1s3EpJsJNl7RfHxKURrU3mkSuKhLkmSPZHraLU6YrQ6HinhkU4nyZ7IdeKuQfgKBbfnKghfoSDu2us9n5mZGWXLlufy5fThg7//fh4PD0+cnfPh7V3FMKzz8uU/sbd3MPQkzZr1NYcPH2Ds2IksWbIarVbLl18OQ6vVGtXv59eAwMBLPHjwwFB28OB+fH0bAPD11xOJiYlm4cLlzJgxl7CwUAICvjLse//+X8THx7Ny5QZDYnLs2BGKFy/BmjWb8fVtwPTpUwz3tU2ePB6tNo3Fi1eycuUGChYsxKxZXxvFtH79GqZNm8Pw4aPYsmUDY8d+Qf/+g5g161suXrzAL7/sNOy7a9ePeHoWY9WqDVSuXIURIwbz8GEUnTp1pV69+nz4YT2WLVsLwOjRwwkO1jB9+hzmzfuO27dDje6PfPgwigMH9jJz5jxGjRrHoUMH2L375wx/L5UqVUaj0ZD293wY58+fw9u7CpUrVyUk5BZRUentGRj4tNf1jz8uMnv2dPr06c/mzT8yfPgodu/exeHDBw317tixlXffVbNy5XqqVavOrFnTDG03c+bX3L4dwoIFSxkyZARbtmw0HKfX6xk9egT29g6sWLGeCROmcOLEURYvXmDY58qVQNzcPFi2bA01a9Zi27Yt/PbbbsaNm8TSpWtwc3Nj8OB+JCU9/ax17NhhvvtuOYMHf862bVs4c+YUM2fOZc2azdjY2BIQMDHD9nkVkvAJIYQQQogcEXcNHu1ToH2sANL/fbTv9Sd9FSt6G4YPXrhwzpBAeHtX5fz5c4Dx/XuxsbHs2bObwYOHU7lyVUqUKMmECZMJDw/j9GnjCebeeUeNp6cXR46kJx0REeEEBWmoV8+P8PA7HDlyiHHjJlGy5DuUKlWasWMncvjwQe7du2uoo3PnbhQt6kbhwkUAKF26DF279qRoUTe6d/+Y1NRUQkJuAVCzZi2GDBmBl1cxihUrTuvW7QkJuWU0/LJ7916ULPkODRv64+DgiJ9fQ6pWfZ9KlSrj7V2F0NBQw76ensXo128gnp5eDBgwFEdHJ/bt24ONjQ2WlpZYWFji7OxMcHAQFy9eYMyYiZQpU47SpcsyYcJkTp48zs2bNwDQarUMGvQ5JUu+Q61aH1KtWg2jYZvPKlOmHKDnxo1gYmNjuHkzGG/vKri4FMDNzYPz58+RmppKUJDG8PuytLRk5Mhx1KlTD1fXwtSt68c776gJCblpqLd48ZJ07twdDw8v+vTpT0pKMjdv3iAuLo6DB/cxcOAw1OpSVKv2Ad279zIcd/78WSIiwvnyy7F4enpRsaI3w4Z9yfbt3xuSUoBu3Xri4eFFvnz52bhxHf36DaRKlffw9PRi6NAvUKnMOHRov2H/5s1b4eHhRfHiJYiMjMTS0hJX1yK4ubkzfPhI+vcf/PwXbhbJkE4hhBBCCJEjYo4r0KcZT4iiT1MQcxzsSr2+UT0VK3qzc+d2IH3oYK9efQCoXLkKkybd5tGjhwQG/kn16jUACAu7jU6no2zZcoY6HBwc8fDwJCTkFsWKFTeqv169+hw+fJDWrdtx8OA+ypWrQKFCrhw/fhS9Xk+bNk1NYgoLu41Smd4X4+paxGhbkSJuhsd2dnYAhgnsWrVqy759ewgMvERoaAgaTXq2/GzP47PHW1paUqiQq9Hz1NSntx+VL1/B8FipVPLuu+8akstnhYbewsbGFi+vp7OXeXh4YW/vQGjoLRwdnQAoWvTpuW1tbdFqMx4JY2FhQalSZbh6NZDIyHC8vIrh7OwMgLd3FS5dukiRIkWxsrI29LqWKlUaS0tLVqxYwq1bN7hxI5g7d8KoUuU9Q73G509vu7S0NMLCQtFqtZQs+a5hu1r9dLLA0NBbxMU9plGjDw1ler2e1NRUQ3Lu6OiIjU36PdIJCQn89dc9Jk0aa/g9QvrvKSzstuH5s7/bNm3ac+TIQVq2bESFCpWoVasO/v7NM2yfVyEJnxBCCCGEyBHax5krzy7lylUgNjYGjeYaISG3qFQpvcfoSW/SpUsXuXr1Mv36DQTSk5EM49Tq0Om0JuV+fg1Zs2YFMTHRHDy4n8aNm/69vxZra2tWrdpockz+/C6G3q9/nk+lMp3zXa/Xo9PpGDr0M2JjY/D1bUDNmrVJTU1lzJgRLzz+2YTkn/65r06ny3D/57WJTqdFp3s6dNzMzDjdeNG8L+k9r1ewsrKicuWnyyN4e1dh48a1eHh4Gt2/d/r0SUaN+pyGDZtQrVoNevbsw+zZ04zqNDc3nTzRePKZp4+fjVWr1eLm5s6MGXNNji9YsBAAFhaWRvsDTJw4FS8v4y8A7OzsDY+fbTd3dw82bdrOqVMnOHnyGGvXruSnn35kxYp1Gd7nmFUypFMIIYQQQuQIlX3myrOLlZUVanVpduzYSrFiJXBycjJsq1y5CocOHUChUBh6ktzc3FGpVIb7/gBiYqK5c+d2hhNseHh4UqJESXbt2kFQkIa6dX0N5YmJieh06cmEm5s7APPnzyE+Pj7T1xEScpOLFy8wZ85Cunf/mBo1fAz3umVVUNB1w2OtVktQ0HVKlEhvh2eXp/D09CIhId6o9+/WrZvEx8fj4eGZpXNXqlSZoKDr/PnnH3h7P034KleuSmjoLS5dumg0a+quXT/SqFETvvxyDM2atcTT04vw8DsvNZuoh4cnZmZmXL165Zlr1xgeu7t78tdf93BwcDT8rqKioli8eIFRQvuEvb09zs75ePDggWH/woWLsGTJQoKDr5vsD/Drrz9z9Ogh6tSpy8iR41i5cgMhIbcIDg5+qfZ6WZLwCSGEEEKIHOFYU4/CzPjDucJMj2PN1z9JW8WK3uzbt8eoJwnSe5OOHj1k1JNkbW1Ny5ZtmDdvFhcunOPGjWAmTx5PgQIFqVbtgwzrT+/lW4m3dxXy5csPgJdXMapVq8HkyeO5fDmQoKDrTJkygYcPH+Li4pLpa7Czs0epVHLgwP+4ezeSgwf3sXLlEoAsr1l86dJFNm5cy+3bIXz77WySkhINE85YW1tz924k9+//hYeHFzVq1CIgYAJXr17m6tXLBAR8RYUKlXjnHXWWzl2+fEXCwkK5desm3t6VDeUuLi64uhbm1KnjRgmfg4Mjly//SXBwEDdv3mDq1IlERT0g9SXW77K1taNhQ3/mzZtFYOCfXLhwjtWrlxu2v/9+dYoUKcqkSWMJCrpOYOAlpk+fjFKpxNIy4/WLO3T4iOXLF3PkyCHu3Alj9uxpnD172mjY67Pi4+OYN282Z86cIjIygt27d2FtbWOY1TO7SMInhBBCCCFyhF0pcPbTo7LXA+n/OvvpsSv1+s9dqVJlEhMTTdbZ8/auSlJSkkl5//6DeP/96owd+yWfftoLc3ML5s1b9NwP/76+DUhKSsTPr4FR+bhxk3Bz82DYsM8YOLAPLi4FmDZtdpauoWDBQnz++Ug2b95Aly7tWLduFYMHD8fMzMyotyozatTw4eLF3+nRozPXr1/jm2++w8HBAYBGjZoQHn6HHj06odfrGTv2K9zcPBg8uD9Dhw6gWLHiTJs2J0vnBbCxscHTsxiensVwcHA02la5clXMzS2M1t/r1asv+fO78OmnPRk6tD9mZma0bt3upa992LAvqFChEsOGDWDq1Im0adPBsE2lUjFt2hyUShX9+vXiyy+HUrGiNyNHjn1ufZ06daVlyzbMmTOd7t07cuvWDebMmY+LS4EM92/duj3+/s2YOnUinTu35ejRw8yY8Y2hvbOL4nUtoPhfSU3V6qOjE3I6DBNOTjbkxriEeEJeoyK3k9eoyO3kNQp374bi6pq14Xvi9VOplGgzsRRLQMBXaLVaxo+f/BqjEln1ovdbgQL254GqGW2THj4hhBBCCCGEyKMk4RNCCCGEEEKIPEqWZRBCCCGEEEIwZsxXOR2CeA2kh08IIYQQQggh8ihJ+IQQQgghhBAij5KETwghhBBCCCHyKEn4hBBCCCGEECKPkoRPCCGEEEIIIfIoSfiEEEIIIYQQIo+ShE8IIYQQQrx1Hj9+zMKF82jXrgW+vjXp1Kk169atJi0tDQAfn6qcPXs6S3WvWLGEfv0+zs5whcgyWYdPCCGEEEK8VWJjY+jbtyfOzvn48ssxFClSlOvXrzF37ixu3brB+PGTczpEIbKNJHxCCCGEEOKtsmjRfMzMzPjmm4VYWloCUKRIURwdnRg4sC9t2nTI4QiFyD4ypFMIIYQQQrw1UlJS2Lfvf7Rp096Q7D3h7V2Fb79dTIkSJQEIDLxE9+6dqFevBv37f0JERLhh35s3bzBo0KfUq1eTDh1asmnTevR6vcn50tLSmDXra5o2rY+vb02GDOnP7dshhu1//HGR3r27Ua9eTbp0ac9vv/1idOzChfNo1cqfOnWq0aZNU378cWs2t4jI6yThE0IIIYQQOUZ1Hqwmg/Ww9H9V51/v+cLD75CYmECpUmUz3F65clWsrKwA+OmnHxk0aBjLlq0lPj6O776bB0BychLDhw+ibNnyrFmziSFDRvDDD5vYtm2LSX3btm3hzJlTzJw5lzVrNmNjY0tAwEQAoqIeMGLEYOrXb8zatZvp2fMT5s6dybFjRwBYv341x44dZvLk6WzcuA1//2bMnTuTBw/uv46mEXmUDOkUQgghhBA5QnUeLL4HRWr6c8Wj9OcpgLbK6zlnXNxjAOzs7P51365de1KlynsANGnSgu3bvwdg797fsLd3oG/fzwBwd/egd+9+rFq1jLZtOxrVERkZiaWlJa6uRXB2dmb48JGEhYUBsH37D1SuXIX27TsB4ObmTmhoCD/8sAkfn9oUL16SkSPHUa5ceUM8q1Yt4/btUFxcCmRDa4i3gSR8QgghhBAiR5jvfprsPaFITS9/XQmfo6MTAI8fx/7rvkWLuhke29nZkZKSAkBISAghITepX7+WYbtOpyM1NZXUVOMLatOmPUeOHKRly0ZUqFCJWrXq4O/fHIDQ0FucOnXCqB6tVouTkzMAtWt/yNmzp5g//xtu3w7h+vVrhn2EeFmS8AkhhBBCiByheJS58uxQtKgbDg6OXLlymdKlTYd1jh8/Cj+/hgAolcZ3Pz25R0+r1VKpUhVGjBhlcrxKpTJ67u7uwaZN2zl16gQnTx5j7dqV/PTTj6xYsQ6tVoufX0N69PjE6Jgn51269Dt++mk7/v7NadjQn88/H0nbts2yfvHirST38AkhhBBCiByhd85ceXZQqVT4+TVg+/bvDT12T1y4cI4DB/bi5OT0wjo8PDwJCwvF1bUwbm7uuLm5ExSkYcOGNSZJ4q+//szRo4eoU6cuI0eOY+XKDYSE3CI4OBh3d0/Cwm4b6nBzc+f06ZPs2rUDgJ07tzF48HD69x+En19DEhMT/67VdHIYIZ5HEj4hhBBCCJEjUv1Bb25cpjdPL3+devbsQ0pKCkOHfsaFC+cID7/Dr7/+zPjxI/H3b0aFCpVeeHzDho1JTU1l+vQphITc4uzZU8yZMwN7eweTfePj45g3bzZnzpwiMjKC3bt3YW1tg7u7B61btyMo6DqLFy8gLOw2Bw/uY9GibylYsBAADg6OnDhxjPDwO1y6dJHJk8cDkJKSanIeIZ5HhnQKIYQQQogcoa2SPkGL+e70YZx65/Rk73Xdv/eEs7MzixatYOXKpUyZMoHo6GiKFClC5849aNeu478eb2Njy+zZ3/Ltt3Po1asL9vb2NG7clD59+pvs27p1e+7fv8/UqROJjY2hWLESzJjxDQ4ODjg4ODBjxjcsXryALVs2kC9ffnr16kurVm0BGDVqPLNnT6Nr1w64uLjQrFkrzM3NCQrSULNmLZNzCZERRUbrhbxJUlO1+ujohJwOw4STkw25MS4hnpDXqMjt5DUqcjt5jcLdu6G4unrmdBjiOVQqJVqtLqfDENnkRe+3AgXszwNVM9omQzqFEEIIIYQQIo+ShE8IIYQQQggh8ihJ+IQQQgghhBAij5KETwghhBBCCCHyKEn4hBBCCCGEECKPkoRPCCGEEEIIIfIoSfiEEEIIIYQQIo+ShE8IIYQQQggh8ihJ+IQQQgghhBAij5KETwghhBBCvFXatm1G37490ev1RuUXLpzDx6cqaWlpORRZ5hw8uI+oqAcArFixhH79Ps5SPS86tlUrf3bv3vVS9bRt24xdu3YAkJCQ8NLHZWTp0u8YMKBPlo8XT0nCJ4QQQggh3jqXL/9pSE7eRHfvRjJu3EgSExNzOhSDZcvW0qBBIwA2b17/RrdvXiIJnxBCCCGEeOu4uhZm8eIFREdH53QoWfLP3sncwNnZGUtLKyB3xve2MsvpAJ6lVqtLAHMBHyAe2AKM0Wg0STkamBBCCCGEyFM6dOj8//buOz6qKu/j+Gd6MqlI70XgIAg2BESwARYsq7usq2tn7aIiwoqFx/KICgiiYkEUxYrYyz7qWpeqqyIglgNIEektvUx9/pghJgYQQmQmw/f9euWV5Nwyv7m5SeZ7zzl3ePnlF3j00Qe55Zbbd7hOUVEREyeOY9asz/D50jj66GO49tqhpKWlc+qp/bnllv+hb9/jALj44r/TpEkT7rtvAgAvvfQ8X3wxl4kTH2Xt2jVMnDiOb76ZT2ZmJmedNYgLLxwMwOLFi3j00Yew9gccDgfduh3GzTePomHDRoRCISZOHMdnn31CaWkJXbsewrBh/6RVqzb89a9nAHDOOWftsP6FCxcwadID/PTTMpo1a87551/EySefulfHbPToO8jIyGTbtq3MmTOTBg0aceGFlzBw4OlAbEjnRRf9A5fLxdNPTwGgT5/uzJ79FYFAgMcee5gPP3yPSCTKEUccyQ03jOCAA+oDsGLFcsaOHc2SJT/SteshtGjRcq9qlV8lTQ+fMcYLvAOUA72B84AzgdGJrKsmcnPTKIuUk5ubluhSUkJ2tpecbB85OTqetSU3Nw1CYZ2jtcTlcpLm8eDzJNU1tDotI8NDMBrG59MxrQ2xcxS8nqT5t1/n+TwuHBFwOh2JLqXOcy0oIH3ccvy3LiF93HJcCwr2yeOmpaVx/fU38t5777Jo0YIdrnPvvXeSn5/HI488ydixE1m9ehWjR9+B0+mke/cezJ//NQAFBQWsWPETixcvqtj2q6/+S69evQkEAgwbNgSXy83kyVMZOXIUL74MmF3/AAAgAElEQVT4LP/+93uUlBQzYsRQunfvwXPPzWDChEmsXbuGadOmAvDaay/z3/9+zrhxE5k2bTp+fwajR98JwJQp0wB4/PGn6ddvQJW6t2zZzIgR13PSSafw7LPTueSSS5k4cRyzZ8/c6+P25puv0rGjYerU5+nZsxf3338fBQX5Vdbp128A55xzPgcd1IW33nofgMmTH2Hx4kWMGTORSZMmE41G+Oc/byAajRIIBPjnP4fSrFkzpk59gWOOOV7DQWtRMv0n7QG0B3pYa4uAH4wxo4AJwI0JrWw3ZWV5KIgWM23l2ywpWMKJTQfQrV5nHEWeRJdWZ2X4nDjWFBCduYJIro96x7QnlO6ksKhuTKZONtnZXtylEYL/XoZzQwH0akNO82zyAzqeNZXh9OFZ7yD8aQhHYwf+4/0UOMoIhyOJLq1OSktzU+KKMO2nn1hTXM5ZbZvTOjODaImGBtVUliuIe+NKIl99DE1ak9G9H/lhH5GIjmlNuF0OsiIewh9tIpwXIPv4RgRyXZREwokurU5yLSjA9+YGHMHY+ejIC+F7cwPlQPjQ7D/88fv2PY7evfswfvwYnnrquSrL1qz5hZkzP+Nf//qI7OwcAG677U4GDTqdDRvW07NnL159dQYAixZ9Q7duh/LDD9/x888radq0OQsXzmfIkKF89dV/2bx5E08++RyZmZm0a9eeYcNuIi0tndLSUi644BLOPfd8HA4HzZo157jjTqgIjuvWrcPn89GkSTPq1avH8OEjWb16NQC5ufXin3MrhlFu9/rrr3D44Ufwt7/9nXA4QosWLVm1aiWvvPISffocs1fHrF279px33kUAXH751bz22gyWL/+JQw89vGIdny+N9PR03G439es3oKysjNdfn8HkyU/TsWMnAEaNuouBA/uxaNECiouLycvbxo033ozf76d16zbMn/9lnR1um2ySKfBZYGA87G0XBXwJqmeP5UWLGfblTfxYsBSAj9Z9xhBzJWe3OovSgmCCq6t76tVLJ7xkE+FH51W0Bb/4Bc9NxyewqrrNWRoh+NAsohuLCAPMX4PjnMPI7dmCvDyNnN5THrcLt4XAI78eu/DsEFmj0sgjeSbR1yWlrgiXf/o5G0pjx/SjX9Yxumc3jqrfiOLiQIKrq3u8HieuH74k9MZjsYZFc4gumEnWP+4kP+JNbHF1VBYeAvf+CIWxC2Xh/27De0N7Ak3chEK60LOnvB9urgh72zmCUbwfbqZ0HwQ+gKFDR3D++X/l1VenV4QRgJUrVxCNRvnLX06rts3q1T/To8dRjB17DwUF+XzzzXwOP7w70WiURYsWsHnzZnJycmnbth3z5s2mefOWZGZmVmx/4omnVHw9cODpvPzyCyxduoSVK1ewbNkSOnc+GIC//OVsZs78lDPPPJlu3Q6lb99jGTjwjN99TqtWreDzz+dywglHV7SFw+GKkPhbbrd7p3PuIpEIbvevkaF58xYVX2dkxJ7T793VdO3aXwgGg1xzzWVV2gOBAKtXr6KgoIBmzVrg9/srlhnTmS++mLvL/cruSZrAZ63dBHy0/XtjjBMYAsxKWFF7qDRUUhH2tpu+cgYnN++PBw2d21OB4nJcH1Y9nhSWE1y9jRzTkPz88sQUVke5XEBBOdGNRVUXfLKUaOfGCamprvOF3ITfrXoxJ7olCpujOOo7NGF9D3k8LpYVFlaEve1eWLKKg3vmJs8chDokLVxKZOYbVdqiG3/BVVII3voJqqrucrmcRFaVVIS97cLvb8B3YUtCKPDtKUfejoPCztr/CE2bNuPCCwczdeoUhg8fWdEeDodJT0/n6adfrLZN/foNSE9Pp1WrNixY8A0LFsznmmuuJxgMsmjRQtasWUPPnkcB4HbvfKTXpk0bufTSC+jQwdCjx1GcccZZzJ07u2KIacuWrXjppdf5/PO5zJs3m2efncrbb79RrTfyt8LhMP37n8TgwZdV6c13Onf8lzQzM4vi4qJq7dFolKKiQjIzsyraPJ7qz+f3/t+Fw7Ee8IcffqJK8IVYT+Xbb79OrJ/nV5VDpuydZD6SE4DDgCN3tZLL5SA317+rVfaZ0vLCam1eZ+wKarLUWJeEygLgcVVrd3icOBwuHdMacJRW/2OOxwUOnaM14SyBgLd6773T4yQnJz0BFdV93lBx9TaXC6fDQW6ujumecpaGCe3gxabT49bvfA05fNWDiMPrxJvmxuPd/3pNN2xw4HLV/HJMNNe9w3AXzXXv1X53h9P5a+0XXHAxH3zwHlOmxHrDXS4nbdu2ib/lQZTWrdsAsZ69hx6awE033UpmZga9eh3FnDkzWbFiOV27diUcDjFhwlj8fj+XXHIZLpeT1q1bs3btL5SVlVT0iE2Z8hjr16+nU6eDyMjI5IEHJlXU9dprMypq+L//exePx8OAASdxwgn92LhxA3/60ymsWPFTxc1Otj8Pp9OBw+GIP2YbFiyYT8uWrSr2++qrL7N58yauvHJItWPRsWNHVq/+maKiAnJycivalyyxlJeXY0wnXC4nDocDh4NqPxun01nRtr2e7eu7XE5atmyFy+WisDCfLl26AFBUVMidd47iiiuupn37Djz11C8UFxeRnR3r2V22zFZsLzEOR81yT9IFPmOMg9idOq8GBllrv9vV+uFwlLy8kn1S2+/xZfjo3bAnczd9UdF2ZcdLqe/JSZoa65KcHB+c2gl+3Ajxq1OOxlm4muh41lRuhhdHuwOILt8aa3CA87TOOLO8bNumY7qn3G4nmYO8BO4rq7gw6WztJJwTJT9PQzprommGnw452SzNj920wQlc3vlA0qNu/d7XgMftIfPkCwhNu6eizdGuC0GPnwIdzxrJbZKGo7GP6Ib4KBOXA9dpTSkoLye8H841jUajezVnOTCgQZU5fABRj4PAgAZ/+FzoSOTX2p1OF8OG/ZOhQ68GIByO0LJlG3r27M2dd97G0KH/xOv1Mn78fYTDYerVq084HOHII3sxcuQwOnbshMfjo0uXbqxduwan08nhh3cnHI7QvXtPGjVqzD33/C+DB1/OunVrmTFjOiNG3EwkEmHTpo18/vlcmjVrwaeffsRnn31Mhw6GcDhCYWEB06ZNJTMzi5YtW/HBB/9HerqfZs1aEo3Gal+yxJKbewCRSLTi53HmmYOYMWM6jz76MAMHns6yZUt45JEHueaaoTs8rl26dKN9+46MHDmcK664hvr1G7Bq1QoeffQhTjzxFOrXj/08otEo0SjV9hGJRCrath9Xny+dzZs3sXr1apo1a87pp5/J+PFjGDHiFho0aMjjjz/MsmVLadasBS1btqFJkybcffcdXH751Xz33bd8+unHdO58sObEVxKN7jz3NGyYtcN2SLLAFx/G+RSxO3T+zVr7VoJL2iNpQS//0+0mFuf9iM1fynFN+lDfW5+CPA09rIn8/HL89f14b+tPcP5qqJeGu1MTImkuCGpyfE2Uu8OkDe5FePkWousLcB/anFCmh/xtCic1EQpFKGscJv3edMJfhXE0duDo6KQgqvmQNeUJOJhw9BF8vWkTa4pK6NeyOVlOJ6WlmgddE8FQhPKmHfHd8CCR777A0bgVtOhIftjLb4dPye4piAbJuaEDkR8LoSCI87BcSjx7F3r2Z+FDsyknPpcvL0Q01x0Le/to/l5l3bv3oH//k/joow8q2kaNuosHH7yfYcOuweFw0L17T264YUTF8kMPPRyn08khhxwKgN/vp0MHQ1paGn5/BgAul4t77x3PhAljGDz4fOrVq8cll1xKv34nEg6HWbjwG0aNuhmAgw7qzLXXDuOJJx6lvLyMP//5bDZt2sQ999xJQUE+bdseyNixD1T0gg0ceDp33nkbV111XZXn0qRJU8aOfYDJkycxffrzHHBAfQYPvoKzzhq0w+fudDoZP/4hHnvsYUaNGkl+fh4NGjSMDwu9vEbH87jjTuCtt17jggvO5tVX3+Haa2/gkUce5Pbbb6a8PEDXrt2YMGFSxQ1nxo17kDFj7uYf/7iA9u07cNZZg7D2xxo9tlTlSKY5JsaYB4j17P3FWvvu7mwTDIajyXbVNzc3DafTSXl5OcXFCiZ7y+WCnBw/0WiUbQomtWL7OVpaWkppafL8DairHI7Y/LNIJKqbNtSS9HQP6eke8vNLCOvP6F5zOBx4PE6do7XI7XaSlZVGXl4JSfRSap9bv34VTZq0TnQZshMul1MXI1LIrn7fGjbM+hrovqNlSdPDZ4zpBQwFbga+MsY02b7MWrs+YYXVQF5eGbm5foW9WhIOw9atyRXq67rt56jCXu2IRiEQ0O97bSotDeLzeRT2aknsfa50MGtTKBQhGmW/DnsiUjck0yzI7X3M9wLrKn8YY5ImmIqIiIiIiNQVSROkrLXDgeGJrkNERERERCRVJFMPn4iIiIiIiNQiBT4REREREZEUpcAnIiIiIiKSohT4REREREREUpQCn4iIiIiISIpS4BMREREREUlRCnwiIiIisl/p06c7ffp0Z82aX6ote/PNV+nTpztPPPHoPqnjyy+/qPX9RqNR3nzzVSKRSK3ud+XKFdxxx62cccZJDBhwDJdddhGfffZxxfL587+iT5/uhEIhAJYutSxc+E2t1iB7ToFPRERERPY7brebOXNmVWufOfM/OByOBFRUexYsmM/9999Xq4Fv8eJFXH75xaSlpTF27ESefvoF+vc/kdtvv4W3334DgK5dD+Gtt97H7Y691fctt4zg559X1VoNUjNJ88brIiIiIiL7yiGHHM6cOTM5++xzK9qKi4tYvHgRHTqYBFa296LRaK3vb/ToOzj++H6MHDmqov1vfzuP4uJiHn98EieeeAppaWnUr9/gD6tDakaBT0RERET2O337HsOkSRMpKioiMzMTgHnz5nDIIYdSWlpaZd3nn3+Gt956g02bNpCTk8Ppp5/FpZdeCcCQIZfTvXsPFi1ayMKF82nevAVXXXUtRx3VB4D8/DwmTryfuXNn4fF4GTDgZK655vqKXrDFixcxadJEVq9eRadOnbnttjtp1qw5AMuX/8TEieNYvPhbGjZsyJlnDuKcc87D4XBQXFzEmDGj+fLLLwiHw3Tv3oMbb7yJQCDAddddGX+OPXjoocc5/PDuvPXW6zz//DTy8rbSvn1HrrtuGAcd1AWAQYNO54QT+vPBB++RlZXFM8+8VFEfwLffLmT16p+5774J1Y7joEHn0LNnb7xeL/Pnf8V1113JZ599ztChV7N+/TrGjLmbRYsWsGXLFpo1a87w4SMrtr399pupV+8Ahg4dUSs/U9kxDekUERERkYRxf7sO/8RZZNz5If6Js3B/u26fPG7r1m1p0qQZn38+p6Jt1qz/0LfvcVXW++CD/2P69Oe56aZbeeml17nkkst45pkn+f77xRXrPPfc0/TvfyJPPfU8rVq14b777iYcDgOxYY3r16/lwQcf595772fmzE954YVpFdu+/fYbXHfdMKZMeZbi4iIeffRBAMrLyxg+/Dq6dOnKtGkvMXToCF555SVee+1lAKZMeZx169YyadITTJ78NNu2beWhhybQqFFjRo8eC8Bbb71P166HMHv2TJ588nGuu+4Gpk59gV69enPddVexefPmKs9z/PiHuf32u6uEPYBly5bi92fQunWbascxOzubLl0OxumsGivuuWccjRo1ZsiQoVx//XAGDDiJmTM/rTguZWVlzJ07m/79T9qtn5fUnAKfiIiIiCSE+9t1+N75Hmd+GQ7AmV+G753v91no69v32Ip5fKFQiP/+93P69DmmyjoNGzbi5ptvp3v3HjRt2owzzxxE/fr1WbFiecU6vXr1ZuDA02nTpi0XX3wpW7ZsZtOmTSxf/hMLF37DrbfeSadOB9G16yEMH35zlWGPF1xwCUcccSQHHtieU0/9E8uWLQXgww/fJysrmyuuuIaWLVtx1FFHc9llVzFjxksArF+/Fr/fT9OmzWjbth2jRt3F3/9+IS6Xi6ysbAAOOOAAPB4PL774LOeffxF9+x5Hy5atuOiif9Cp00G8++6bFXUMGHAK7dt32OFw1qKiQjIyMvbo2GZn5+B0OsnIyCQzM5Njjz2e4uKiipu4zJ07m5ycXLp06bpH+5U9pyGdIiIiIpIQ3o+X4QhWvbGIIxjB+/EyQl2b/uGP36fPsYwcOYxQKMTXX39J27btOOCA+lXWOfzw7nz33WIef3wSq1atYMkSy5YtW6rcEKV58xYVX28PRuFwiJUrV5CRkUGLFi0rlh911NFV9l9528zMTAKBAAArV65k5crlDBjQt2J5JBIhGAwSDAY5//yLGT78ek47bQCHH34ExxxzPCeffOoOn+eqVSuYPPkHnnzy8Yq2QCBAo0aNKr5v2nTnxzsnJ5eiosKdLt8dfn8GvXv35ZNPPuTww7vzySf/pn//k+r8DXLqAgU+EREREUkIR37ZHrXXtq5du+FyuVi0aAGzZv2HY445rto67777Jg8+OJ7TTjuTY445nmuuGVoxR247t9tTbbtoNIrH8/svtX87FHL7jU7C4TCHHnoEI0bcXG0bl8vFwQd347XX3mHOnFnMmzeHSZMm8uGH7/Pww5OrrR8OhxkyZCg9evSq0p6enl7xtdfr22mNBx3UmdLSUpYv/4l27Q6ssmzbtq3ceedtDBv2z999rgMGnMy4cfdw9dXXMW/eHCZPvux3t5G9pyGdIiIiIpIQ0Zy0PWqvbU6nk969+zBnzkzmzp1Vbf4ewBtvvMaFFw7m+utv5JRTTiMnJ5etW7fs1h0oW7RoRXFxcZX3+3v33TerBcYdadWqNatXr6JJk6a0aNGSFi1asnSp5YUXpuF0Opkx40W+/34xJ554Crfffjfjxj3IN998zdatW6r1mrVs2ZqNGzdU7KdFi5ZMn/4833zz9e8fJKBjx060a3cg06c/X23Z66+/wg8/fEejRk2qLfttHb169SYYDPL889No2rQZ7dt32K3Hl72jwCciIiIiCRHo156o5zc9XB4ngX7t91kNffseyzvvvEV2dk6V4ZXb5eTk8NVXX/Lzzyv58ccfuP32mwmFQgSDgd/dd9u27ejevQf33fe/LF26hIULF/DMM09V62nbkZNOOoVgMMiYMXezcuUKvvzycyZMGFsxP2/Dhg088MA4vv12IWvW/MKHH75H48ZNyMnJJT3dD4C1P1JeXs4555zHq69O57333mXNml+YOvUJ/vWvt3d4E5adufHGkXz00b8ZM2Y0S5daVq5cwVNPTebZZ6cydOgI0tKqh/T09HRWrVpJQUE+AF6vl2OPPZ7p01/QzVr2IQ3pFBEREZGE2D5Pz/vxMhz5ZURz0gj0a79P5u9t16NHLyKRMH37HrvD5ddfP5x7772LSy45j5ycXE44YQB+v58lS+xu7X/UqLuYMGEMV101GL8/g4EDT+fccy/43e38/gzGj3+Ihx6awODB55OVlcUpp5zG5ZdfDcBll11FSUkxN988nJKSEjp37sLYsRNxuVwceGB7evQ4iquu+gd33HEP/fqdyLZtW5k6dQpbtmyiVas23HPP/Xv0foOHHHIYkyZN5plnnuKGG4ZQXl5Ou3YHMnr0WPr02fGx+/Ofz+aRRx5k3bo1jB49DoD+/U/kX/96W4FvH3LU9TdEDAbD0by8kkSXUU1urp9krEtkO52jkux0jkqy0zkK69evokmT1okuQ3bC5XISDkd+f8V96L333uX1119hypRpv7+yVLGr37eGDbO+BrrvaJl6+ERERERE5A+1Zs0v/Pjj9zzzzJOcf/7FiS5nv6I5fCIiIiIi8odav34d9957Fx06GAYOPD3R5exX1MMnIiIiIiJ/qCOOOJKPPpqd6DL2S+rhExERERERSVEKfCIiIiIiIilKgU9EREREashBNJpcd4EUSUWx3zPH7663Iwp8IiIiIlIjXm8aeXmbCYWC1PW3+hJJRtFolFAoSF7eZrze6m9uvzt00xYRERERqZF69RpSVJTP1q0biETCiS5HfsPhcCiIpwCn00V6eiaZmTk12l6BT0RERERqxOFwkJWVS1ZWbqJLkR3IzfWTl1eS6DIkwTSkU0REREREJEUp8ImIiIiIiKQoBT4REREREZEUpcAnIiIiIiKSohT4REREREREUpQCn4iIiIiISIpS4BMREREREUlRCnwiIiIiIiIpSoFPREREREQkRSnwiYiIiIiIpCgFPhERERERkRSlwCd1gtud6ApEds3lSnQFIrvmcCS6AhERSQQFvlqWnh4gzVfAti2L8aeXkJGh/7B7IzPTjSPdy4YQlHndeNI9iS6pzstKKyfbvY3AxsXkpJWQ6defgb3hS3OR64XMwgJyCZLpTXRFdZ8z3UuZz82S/BLwe/F4lab3htsNmb5SPMGVZHjySfMEEl2SiIjsQ+o3qUVp6UFWLnmVpQsmA+Byp9P75CfIrdeRvLyyBFdX9/j9TvJCDi7/dBGby4IA9G9enxsOaUO4VC9YaiIzrYz8/z5D0dfTAXD6Mmly7hQys9pQVFSe4OrqHq/XRXppKeGHX4Ti0lhjz65kndyXwkA0scXVUY50L49/t5p3V20EINfn5onju5LpdhIKRRJcXd3jcjlxh9ay4LVLCQeKAGh26EU07HweZUFdnRAR2R/o0n4tckTLWbrgiYrvw6FSFs0bTVn5tgRWVZe5efK71RVhD+CjNVvYWBrAr16pGnEGSyvCHkCkvIitH98PofwEVlV3eRwRwm9/9mvYAxxffIurtAynTtE95nRCfjBUEfYA8spDTFq0kqjGddeIx1nKitn3VYQ9gLULpuGidBdbiYhIKtFLkloUDBYDVa/qlxT+Uq1Ndk95OMqqouovStYWluH16sr0nvL5IFSypVp7KG8NjkgoARXVfY5wGMfm6hd0wvkFuDSpb485nU42lFTvvV9TXE5Qf0ZrxEmYsoI11dqDZfma0ycisp9Q4KtFHm82vrQDqrQ1bn0CLmd6giqq27LSXZzSomGVNrfTQedGWRoiWwPl5eDJborTm1mlPb1TP/Bk7mQr2ZWo10fksE5VG70e3I0bEAyGE1NUHRYKRTgw14/PVfVf04AWDUh3KvHVRIg06h84oEqby5eF19+AqA6piMh+wXXHHXckuoa9EolE7yirNOQvkfz+DJq1PZ7C/JVEwkGaHziQgw67kvJyj/6x1kBZWYj2DbLIdLtYU1JOq6x0/rdHRxp7XJrLU0OetDQyzbEEt6wgGo2Q2e1P5Pa4kIISDZeriWAwgr9NUyIuJ45tBTiaNMR14RmUp6cTCuuXviY8DifHtWzA8oISnA4Hg9o15cwDGxPaQc+f/L5wxEH9FgfjcEB50XoyG3bCnDiGAPWI6M/oXktL85Asr0FEdkTn6P4jI8O3DnhiR8sc0TqeRILBcDQvryTRZVTIzvYSCBYSjYZwuzMoLvr9bWTXMrO8FAeiOIn1+ql3b+9kZvoglIcjEsbhzaRA5+hey0h34wwGiDqdhJxuyso0RHZveL0uAk4XUQekAeW6SdNe83miOCkliotgJI2wLkjUitxcP8n0GkTkt3SO7j8aNsz6Gui+o2W6rF/LCgoCgI/c3Hr6BaslRYWxF3thIK9cV6n2VuxunOn6J1CLiktD/DpCXmFvbwUCYSBMPZ2jtaY86AD88e8U9kRE9ieawyciIiIiIpKiFPhERERERERSlAKfiIiIiIhIilLgExERERERSVEKfCIiIiIiIilKgU9ERERERCRFKfCJiIiIiIikKAU+ERERERGRFKXAJyIiIiIikqIU+ERERERERFKUAp+IiIiIiEiKUuATERERERFJUQp8IiIiIiIiKUqBT0REREREJEUp8ImIiIiIiKQoBT4REREREZEUpcAnIiIiIiKSohT4REREREREUpQCn4iIiIiISIpS4BMREREREUlRCnwiIiIiIiIpSoFPREREREQkRSnwiYiIiIiIpCgFPhERERERkRSlwCciIiIiIpKiFPhERERERERSlAKfiIiIiIhIilLgExERERERSVEKfCIiIiIiIilKgU9ERERERCRFKfCJiIiIiIikKAU+ERERERGRFKXAJyIiIiIikqIU+ERERERERFKUAp+IiIiIiEiKUuATERERERFJUQp8IiIiIiIiKUqBT0REREREJEUp8ImIiIiIiKQod6ILqMwY4wMeBv4KlAMTrLVjE1uViIiIiIhI3ZRsPXzjgN5Af+AK4DZjzDmJLUlERERERKRuSprAZ4zJAC4Dhlprv7bWvgWMBYYktrI9k5ubRsTvZksggDvTg8+X6Irqvhy/m3puyHFDdrY30eXUebm5aYQyStgc3IwrM4zLleiK6r5MP2T4SsnwlZGdnZbockREREQqJNOQzkMAHzC7UttsYJQxxm2tDSWmrN2XkelhRVEp985fxKrCIno3acT13TrjI0h5eaKrq5vq+ZyEP5xH6MtvcWRm4DirP9nNGlFQHk50aXWSNwO+L7Tc8+0E1pau44TGxzCk02VQpCsTNZXlD/DDN5P5ZcX7pGc04tBet5KefSClpY5ElyYiIiKSPD18QFNgq7W2rFLbBsALNExMSXumMApDZn7OD9vyKQmF+eiXdTy86AfCHk+iS6uTcrLTCH35HdGZX0FpOdFNW4k8+QruYDDRpdVZpZRw1Rc3srTwJ4pDJbyz5n2mLJ2GNzvRldVNmZkufvruRVYueZVQsIjCvOXM+feVOKMliS5NREREBEiuwOcndqOWyrZ/Xye6HwoDQQp+E0Zmr99IeSSaoIrqtmhJGY5vbdXGSJTgyrXk5mrY3J7y+WBt6XrKwmVV2mdtnEdRqChBVdVtkUARa1d/WrUtEqRw6wp8Pl3oERERkcRLpiGdZVQPdtu/3+nlcpfLQW6u/w8rak+EAwFcDgfh6K8Br212Jk5ImhrrkmggSLRJA/h5XZV2V+MDAKeOaQ00dDWo1tYmszVup6NSchAAAAwGSURBVEfHswZCgQjZOe0oyl9Zpd2f3ZS0dA/p6Qp9e8Pl0u+5JDedo5LsdI4KJFfgWwPUM8Z4rbWBeFsTYr18W3e2UTgcJS8vOYZPeTLcDDn4ICYt/oFwNEqO18NNh3WlntedNDXWJT4fZJx4NKGfVhPdkhdr7HkI0awM8nU8a8SX4eOyDhfx1NLniBChge8ARnS5llxnls7RGvB6vXQ5cijbtnxHafEGwEGHzhfgcmfreNaC3Fy/jqMkNZ2jkux0ju4/GjbM2ukyRzSaHMMNjTF+YAtwirX2s3jbKOBka+3RO9suGAxHk+lEdma4CUahOBgi0+Mh2wlFRZpzVlM5OT6cJQEoL8fhcRN2uckPRBJdVt2WGSAYDVISKiHTnUGuM4fCQp2jNeVPd+OMFhIMFuP2pAFpFJcl07W0uksvVCTZ6RyVZKdzdP/RsGHW10D3HS1Lmlcl1toSY8w04FFjzMXEeveGA5cntLA9FCkO4QJaxX/BNDNq7+Tnx6dxOr0QBsIKe3utyIsHL61zG5KXV0IhCnt7o6Q0BKQD6ejmsSIiIpJskibwxQ0DHgM+AQqAu6y1Lye2JBERERERkbopqQKftbYEuCj+ISIiIiIiInshmd6WQURERERERGqRAp+IiIiIiEiKUuATERERERFJUQp8IiIiIiIiKUqBT0REREREJEUp8ImIiIiIiKQoBT4REREREZEUpcAnIiIiIiKSohT4REREREREUpQCn4iIiIiISIpS4BMREREREUlRCnwiIiIiIiIpSoFPREREREQkRSnwiYiIiIiIpCgFPhERERERkRSlwCciIiIiIpKiFPhERERERERSlAKfiIiIiIhIilLgExERERERSVGOaDSa6Br21iZgVaKLEBERERERSZDWQMMdLUiFwCciIiIiIiI7oCGdIiIiIiIiKUqBT0REREREJEUp8ImIiIiIiKQoBT4REREREZEUpcAnIiIiIiKSotyJLiDVGGN8wMPAX4FyYIK1dmxiqxL5lTHmQGAi0AcoBl4GbrXWliW0MJEdMMY8CbS31h6X6FpEtjPGeIAxwIWAA5gBDLXWlie0MJE4Y0w9Yq9HBwKlwHPE/teHE1qYJIQCX+0bB/QG+gMtgOeMMT9ba6cntiwRMMZ4gXeA74mdp42AqfHFNyaqLpEdMcb0A/4B/CfRtYj8xjjgTOBPQBR4EdgC3JbIokQqeRRoChxD7L3Ztp+j4xJZlCSGhnTWImNMBnAZsat8X1tr3wLGAkMSW5lIhR5Ae+Bia+0P1tr/AKOA8xJblkhV8b+nTwBzEl2LSGXGmFzgKuAya+0ca+1c4A7giIQWJlLVQGCitXaxtfZTYoHvhATXJAmiwFe7DgF8wOxKbbOBI40x6k2VZGCBgdbaokptUWLnrUgyGQ18Fv8QSSZ9iA2R+2h7g7X2GWvtKYkrSaSaLcB5xhi/MaYZcDLwdYJrkgRRCKldTYGtv5kLtQHwEutOX5eQqkTirLWbqPQixRjjJNYDPSthRYn8hjHmKGLzoA9GQ40l+RwIrATONcbcCmQCrwC3WGsDiSxMpJKric3bKyTWwfMJsZ5o2Q+ph692+YndqKWy7d+rB0WS0QTgMODmRBciAhU3vnqK2ND4bYmuR2QHsoC2wLXAFcCVwCBiUzhEkkV74Btic/gGAm2A+xNZkCSOAl/tKqN6sNv+fck+rkVkp4wxDmPMg8A1wLnW2u8SXZNI3P8AS621ryS6EJGdCAHZwPnW2tnW2veA4cAV8VETIglV6W7cg+PzTN8DLgWGGGMaJ7Y6SQQN6axda4B6xhhvpWEdTYj18m1NXFkiv4q/IHmK2I1a/ha/uZBIsvg70NQYs32eqRdwGWOKrLWZCaxLZLu1QMha+1OlNgukEZu+sSEhVYn86gig0Fr7S6W2rwEX0Bqdo/sdXYmqXQuAALHb3W/XB/jaWhtKTEki1Ywn9qL6z9ba1xNdjMhvHEds7t6h8Y8pwFfxr0WSwTzAbYzpWqmtM7G5UlsSU5JIFWuBXGNMy0ptB8U/L09APZJgjmg0mugaUoox5nFi46UvJta79xxwubX25UTWJQJgjOlF7MXKzcAzlZdZa9cnoiaRXTHG3A300RuvSzIxxrxJ7L12ryA2f/9Z4HVrrW4yJAkXvzP8l8QuQAwjdo5OBhZaay9MZG2SGOrhq33DiP2SfQI8DtylsCdJZFD8873E7hpb8aG3DhER2W0XAIuI/a9/E3gDGJnQikTi4qPKTiU2negT4HXgP8QuUMh+SD18IiIiIiIiKUo9fCIiIiIiIilKgU9ERERERCRFKfCJiIiIiIikKAU+ERERERGRFKXAJyIiIiIikqIU+ERERERERFKUAp+IiOxXjDEXG2N+2c11jzfGHPxH1yQiIvJHUeATEZH9zcvAYbu57idAkz+wFhERkT+UO9EFiIiI7EvW2lKgNNF1iIiI7AuOaDSa6BpERER2yhhzFDAWOAKIArOAfwAbgYeAvwCZwBxgiLXWGmM8u1h2MXC3tbZFfP93xfdXH/gGGGatnWeMWQm0jpdxJzB6Z/vcjefgAe4BzgUaA2uB+6y1jxljHgRaWWvPiq87FJgANLDWbjXGNAA2AK2AAuAB4AwgF1gB3GKtfc0YMxK40FrbudLjXglcba3ttjvHWkREUo+GdIqISNIyxmQB/wI+AroAJwLtgFuBIfHvTwW6AYXAM/FNd7Ws8v7Piq97HnAQMB941RjjBI6Mr3Y2cP/u7nMnbiIW0gYBJr7dw8aYZsAHwLHxxwQ4Nv65d/xzP+A7a+0aYmHvoHgdXYCZwBRjjA94Cej0mzmHZ8fbRURkP6XAJyIiySyDWM/YXdbaFdbaOcBrxMJOG2JDM1daa5cBVwEj4tvtalllbYAgsMpauwIYCVwIOK21m+LrbLPWFu3BPndkMXCptfZza+3y+HNyEQt/nwF+oJsxxgH0Bd4Djo5vOwB4P/71bOBKa+0Ca+1SYkG0HtDMWrsKmAv8FcAY0xg4Bpi+mzWKiEgKUuATEZGkZa1dT6w37AZjzLPGmK+A4cTC0iQgG1hrjPmU2HDJb+Ob7mpZZS8A64GfjDFfANcR600L7WDd3d3njp7Hm0CaMWa8MeZfwMr4Ipe1toRYkDsOOJjYsM1XgT7xdQYQC4AAzwIdjDEPGWP+TSzgET8eAC8S69WDWPD7Mh5kRURkP6XAJyIiScsY05xYqOoPfA3cAIwHiPdwdSQWcH4iNsxznjEmfVfLKu/fWruR2NzAU4AvgCuA+fGhlvxm3d3a506ex93EwlgIeA7o9ZtVPiAW+I4lNkdxFtDdGNMVOIDYfEGIBb7xQB7wGLHhpZXNANobY7oQC3wazikisp/TXTpFRCSZnQUUWGsHbm8wxlwLOIwxFwIBa+104A1jzB3AamJDI83OllXeuTHmVKCNtfYR4ANjzE3EbgbTl9jbN1Red6ePRyws7sqVwLXW2pfi+9p+YxVH/PMHwC3Ehpd+YK1dZozZFm/72FobMMZkA38HjrbWzovvZ2Dl/VhrNxtjPgIuIBYq//Y7dYmISIpT4BMRkWS2BWhujBlArFftr8TukvkNkAPcZozZCiwhFnKK4l/32MWygyrt3wmMM8ZsAL4idoOUNGBBfHkR0MUY8+XvPN7uPI/T4sNGmxK72yeAD8Bau8gYU0rsxi63xZfNIhbYro5/XwoUA382xqwj1ts4qfJ+4l4EngBmxYfEiojIfkxDOkVEJJnNIDYEcgaxIZ39iA3rNMBU4On4x4/An4DTrLXbgEd2sayCtfYdYgFrHGCBG4FzK73VwgPAfcDtu7vPnRgMdAW+IzYs8xXgc6q+Afy/gbxKjz2TWM/d+/Fag8D5xHo9fwAmEnuriDW/2c8b8e00nFNERPQ+fCIiIqnEGNOaWCBtaq3NS3Q9IiKSWBrSKSIikgKMMRnEbj4zGHhNYU9ERECBT0REZK8YY4YBd+1ilXestefug1KiwBRgFXDZPng8ERGpAzSkU0REZC8YY3KBBrtYpUg3TxERkURR4BMREREREUlRukuniIiIiIhIilLgExERERERSVEKfCIiIiIiIilKgU9ERERERCRFKfCJiIiIiIikqP8H7VEJ3Kq1I5kAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=football_stats_df_clean, x='assists_away', y='assists_home', hue='current_club')\n",
    "matplotlib.rcParams['figure.figsize'] = (15, 10)\n",
    "plt.title('Distribution of midfielders home to away assist');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q10: What is distribution of attackers home to away goals?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='scatter3'></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=football_stats_df_clean, x='goals_away', y='goals_home', hue='current_club')\n",
    "matplotlib.rcParams['figure.figsize'] = (15, 10)\n",
    "plt.title('Distribution of attackers home to away goals');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='conclusion'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. Inferences and Conclusion\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Using simple Exploratory Data Analysis and Visualization, we were able to answer the following questions:**\n",
    "- The number of Africans playing in the 2018/2019 English Premier League is 44, Europe 453, North America 10 etc.\n",
    "- Eden Hazard is the midfielder with the highest number of assists, 15.\n",
    "- Sadio Mané, Mohamed Salah and Pierre-Emerick Aubameyang are top scorers from Africa.\n",
    "- José Holebas has the highest number of yellow cards,\t13.\t\n",
    "- The top scoring attacker from Europe is Jamie Vardy, Heung-Min Son from Asia, Sergio Aguero from South America, Mohamed Salah and Sadio Mané from Africa, and so on.\n",
    "- Bruno Écuélé Manga from Africa, Neil Leonard Dula Etheridge from Asia, and Ben Mee from Europe have the highest number of minutes played with each of them having played a total of 1710 minutes across 38 matches.\n",
    "- Alisson Becker kept the highest number of clean sheets. \t\n",
    "\n",
    "**Inferences:**\n",
    "- In the first [scatterplot](#scatter1), **Distribution of minutes played to number of yellow cards**, the top right corner represents player with high number of minutes played and high number of yellow cards, the top left corners show players with few minutes played but received many yellow cards and so.\n",
    "- In the second [scatterplot](#scatter2), **Distribution of midfielders home to away assist**, the top right corner shows exceptional midfielders with both high number of home and away assist, the bottom left corner however shows midfielders with only high number of home assist but low number of away assist and so on.\n",
    "- Similar to the above inferences, the third [scatterplot](#scatter3), **Distribution of attackers home to away goals**, the top right corner shows exceptional attackers with both high number of home and away goals, the bottom left corner however shows attackers with only high number of home goals but low number of away goals and so on."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Conclusion:**  \n",
    "This notebook obviously does not provide exhaustive analysis. An interesting motivation would be to delve deeper by answering more questions and use this dataset to predict the performance of players in subsequent seasons  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='dashboard'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8. Simple Dashboard"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we create a simple dashboard with few of the charts we drew in the [Exploratory Data Analysis and Visualization](#explore) section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7R4HnxkDrlh3U5jLq4n0gfZlrv6UqR+3eRwVEBirn26hj6LzM/H1bOfvLtnuUtqBXdu9+SWb+tTm+9mq+j1806x8DPEO1xHWzJH2tZJ0OpuOi3hHgfDFVyfwuVUmfbgDhYZhIZf98spXhFRG/BO4BWhk4O1AtsK/PpjtfRFxAVRIPoFq/FweeBrbMzF82610eld3WOiahKjb7trKegF9ExMP0fSc7UgGA17ZlIZ3XlOmgiDi1LcPzjsx8roLV/A72iIhFWplGHYZaxm9QNybvb2tBfQA4sqkMthyTmac28+cCDqLOw8+ds6K6Mf+Juulq3VTcmJlHt23/EaAV7FiFOifsmX1djP9MBUYWpBpJOp3dTP84VWGGykJdkL7gy/JUdlVrPhHxN6qivRbVsj3dfjXL0fb3a6lK/96Z2TqPXhQR91A3Xx9g+kDjQNYAnqBa4Z9u3v9u6ne9wAD7+h7qAT6bZGYrW/SSJgi4XkRcT527f5SZ27SV+w9UQ9RWVOMH1G9042y6JUVftuwHabpURcTTwP2DXMMGO4cP5ffT0u2YvjsiWtkgtzSvN2H4x4ukIYjKtj2QOh9s3Db9GipwsTN1bm/5XitTJyIuBP5ABUouoH+trOGXUwHzXirAcEpUt8wfDbBeuzOAXSNivuwb3uITDK0+txfwm8zcqHl9QUS0erCQmU8B10TEM8B9rfNg+zWhcSBVb35vW1bY1VRg/wvUtbHT9sC8wHrZPIwqIm6grr00r19CfX7HttVtL4yIf1NjUB+SmTc10+ehHlp1WbPuGlTg61vZ9KKJiJup72ug+tkFVCBvVeBa6hx+D3UvuTbwu4h4HdXoPl0ALTNvau4Dnu3ns9otM49qpl1OXefWoQJrA5mLenjW95v1Fqau6Udk5gHNtN9QAbLVqcbHnalGmBUys1UnP6+pi3wnIk6n6o8vAPZoNUpHxF+ohpsFm2tLq/51cyvTsh8rUlnrn2irK11MXUfXpo7NrtuiGirXoh6I1bqmXxYRDzHw9Wst4ILMbNVvWvWo/wA01+7WMXvtUNaRNK0RDaABZOYvI+Jo4AsRcdZAqcHD0F5Rb/2wr2vb3tTmxPKSjvU6L5Y/o6L5q1MZNy+nbkDbP5Mbm22s17H+YH361wbuaQuetZxIBddWY+g3UVCtVs/dsGXmkxHxc/qyh6bRZENdEhETmhva5akuUxOBSW2LHk9lB746M/9K3VT8hxrsHurieCXwaNvn8j/q5me9js12fiaXUQHKJaggziWZOZRBXzv9uXXj1WhdqGYko7Hz+2i1KkJ1ORzOMdCvqJT7i6ngz0fbUp/noi/g0mmg6QM5mrpJP4D6nJelgp2XRMS7MvN/UdkVazFA0DoqrfwcKsD02bZZs7KcH6OycVpdNB6lWj73oAID3dxHX1fbTp1dHgYKtt0AbJNNt7kZdB9VyT82Kk3+EuAXmdk+ruO7qeP/H23HTi9Vgdyhqej/m+pK0uqutjzVLW51YEJETGiOlcuAb0R1wb4YuDQz92zb1trAr3P6LnwnUZX61zblhenHxGj/7UwXQBtKGakK/VuoIPzUtnUvogmwNr95mPacEFRGU/u+kJl3RMR1zX7R7P/BEXEVdXxe2nGTdD11DroxIn5MfR9XZ2b7TVrnfj0RET9j2gDaJ6mK75+bZXZoyv6ipqzLU98rVKZuu27n/1Zr7mkd00+lzrdrM/Rz/xVURu0fIuJMal9vGCRY9XYqi2CaBp7MbDUUrE/tz2kd86+KiLua8n2vbdY1bcs80dw8DvfcO9g5fCi/n9b4RcM6ppmB40XSkL2Wqld2nk8yIm6k77zeclLbMlOb8/KeEfHCAa7T51MBmkvbgl8XR8QVwP4RcUJOO1RLf35MnUffS42/ugIV2NiQviz16URlhq1M3zWj5XQq23VImvd5KxUk6207x91FNRKsR/8BtLWp4TSeG0utuV7e1LbM6lQDwTkd9dZzqXPoelTQqKX92vUHqn5zYUS0Mp2vyMwdGdj1VO+CdagA2jpUlvwC1AOyDqUCX/dT9a/heK5+nplTmutR531cf7reE9LXG6L1XmsD17cFz1pOooJ1K1D79gRw88xcNzLzh1Qm9LwRsTxVr1iJqme36hVD2dZlwH4R8Wb66oW7M7DLgM839bifN8sP1g16RtaRxq2R7sLZ8lUq++aH0c8TB4epv4j7/zpe93dB7bzpbqUOv4S+p4h9j7oRb/+3OE2f/S7v1WnhAZZpTRuo++FA7m+1WrW5jwEuLhExV1Qf/Yeo4ODRVPrvk0z7dLIzqaDG5s3FdzPgpLagz6L0pUW3/9uUwT+TnaiWnqWo1OC/RcRvozLThqMz0NK6aZ+RY7fzOJlK3+cx3GNgOs3N6bVUhtXaHRfoSbRlmrV5Mf1nfA20jSWp7rQHZ+bumXllVmbi+lQlrTVg/7rAv/rLFIu+Lhd/A97VcXM7S8oJNSBvZn6YOk5fT2WZHEd9ntM9eKDD5My8eYB//+pY9j4qqNP690Zg4cxcLWdyANumcr4ulTn3bqrF8L8RcUFT0YA6dlZm+uNmVyrgtChARHw8Iv5B3fT/lOoO2jq+W8fhJ6jxFd9MBcT+FRG/agKzMLxzy7B/O0Mo48LN/0MZILm9nAv3M619uVa5D6GyoOahbipui4jbI2JDeG6Q+jWpSvOWVFeP+yPi8IiYt0tZTgReFRFviRqf8n203cxFxCualuFHqN9w67tr7fdA+9Wp3/1ssgIfYBjn/iYrYB3qHL4j1W3j3ojYOwbuCroo8FA/14uu5Wub1lm+/o6h4Z57BzsOh/T7GeJ7TWMmjhdJgxvu+eTfHa/vo86v/Z4Xs4aeOD+nfTAS1A3+4lQ2dldZWf0309eN8+P0H0Dp1LrWTdNroinLYPWXdos07/NVpj/HrcLAdctFOrfdaP8MW+fGn3e876Rmm9O8d7aNt5aZj1FZzudSn815wAMRcdJA92lNo9nFVJ0Iqk50BdXQ/vaoTPP1gZ/nAGOXddFf/Xwo15rB7gk77wcHrUNljVu3FhWI25pm6ImIOCwi5hlCmYAazicijqHqFbdSvVyWob6jHoAhbmsTqtfJylQm+z0RcWVUxnt/tqeun8tQw638PSJuabIOBzIj60jj1ohnoAE0GTGtwdz7y0LqpcYWazdQoG24WTAtC3e8bo25cx99WVlfo8Yp6DTcbh4PMe14US2tzIwH+pnXzcIRMVfHBWkxph0/oN3XqBPhVsA52fcQhGkedtBkFJxBnZyvaN6zPdtjUjP9QIapuYE7mMomeSl94yqdGxGL5fRPRBprM3UMRMTWVKDyd1TXts4AQ1Jp752Wpy0lfwiWpi6817ZPzMw/N9khr2sm9dt9MyK+QbWoXgxslJmP91PO5Qco57Ce8hMRmwJ/yczf0Xy+Ud1m56KfsQNnwuTMvHnwxWZMk1a/A5UNE9Q4FntSlYwNqH27hoGfNvxA1HhWp1AB2u9k5j0AEXEgdYPf2tbj1PezV9Q4JB9sXp9BBSEfou/c1W5Gzy3PGWIZH6HOwRM71p1AtfC3t3a3a91wDFT2B+C5gOXxwPFRY2StR3Uz/nFELJ2Z/2mOp48323wr1dXhS1SL/kAtplc18zehurdPoOniH33jhj1DBWB/n9X1+7XUmD7D0b6fz2UJNhXhRen7foZ0zcvMK6mxyealvoNtqWzTP9KX2dluEvCSiJg7p31AzhuoLK328t3Wse4SDD9rYFYY9PczM28+g8eLpMEN6bzeZhGmbXxZjOph0W9AKmq8zUUz85SOWS9s1nt4+rX6dQawd0S8gGoAPmKQ5aEyWnvp2LfmPLLgELcLfQ2P36X/XgxPDbDe/Z3bbrQ3KLTqrZ8E/jrAewyoyWTfsmmQWZH6bHamvo/tB1jtAqoL7cpUgO4KKgPtMOoatSZD+3xnleHeEw6pDpX1wK9Nm+97VaqnxpepZJBDh7itI6n64kbUU1qfAIjqJfWcwbbVBDv3pLI1l6HqhXtTmZ/TPBypeb9nqAbIg6LGzX1/s/45EbF49vMgtxlZRxrPRisDjayncH6PagV+Q8fsR4GlOlrV157FRfhgx+uPUxeuG6hxCP4LLNee6UKdvA6kulwOx1XAklEDh7bbjBpTbLg3KfPS1p0taqDn99F/oAfqAvaXzDyxLXi2FPW5d37nx1FPituDShdvH0D+Siog8/uOz+XLVKZMv5pWl79GxC5QAYgmS+poKhtpZrMQBzMjT4yZ4WOgCRT9gMrqens/wTOogNXyEbFi23pLUi2AF/ez/EDuoPbvHe0TowZIX4TqkgnVCnhhxzK7UsGY44EN+gmetcq5ZvQN6k5TUVpumOWEGox0z45pO1AVyiuH+V5jIiJWi4j/RsRbobqmZI3BeAV9D0i4kuoKckfHsbMJtb+Tqa4Wc1FdH1uBqbnp6wo9V0QsExH/jHqYBZl5d9aTo85s29ZV1NOqWg9jaNmMqiz39wCIoRq0jM0x8zvgwx3n63dSFev+Gg5oynUvHeeNZj/eRhOcjYjrIuJwgMyclDXmx/5UY8+SEbF9RNwVES/IzCmZeT01hszjTP/Air6NV2DuFCqjbiPqgRutm4tFqe/vxMy8pa2i+L7Wfg/0vv1odUPpPD9+nAqYtYLQjwKLxLSD9q/dvkJEfCciboqInsx8Jmtcus83s5cdYPtXN9vpvN4dRWU23kiNc9f5Pbyd6sI+rCA5M3au7XQlg/9+Zqg8M3q8SBqSP1HXnc7zyaupxojO88mGbcvM1by+pp8Ms5b1qZ4rS7atN4E6h183jIbYM6kgz65UXabzaeTTyXrq83XARjHtg4s+wDCSD7LGIf4d8JqO89ut1Hii7x1g1cuA1aNtQP+o4RHe2rbMddT5camO9/4f1TiwwkDliohNI+L+iHhpZvZm5m8zc1fq4WzLdtmlVj1wD+rJ8ndm5m1U/Xl/KnPs0oFWZtZcM2bGVcBqUWO7ttuMqqPcERE7RcTfo8bNm5KZ11E9P56k77MZyn6sSY2rfEFb8Oxt1H3QXM3rrtuKiOUi4l9tWfh3ZebhVAPasp0bjIgFoh64sUOz/H+zupL+gKrrtB5aMWUG1pHUGJUMtDa7URfEV3dMP4+q8B8VNSbCSlQL8Yxmm/Vng4g4hMo0eA91gvpGZj4Mzz3J5vhKMOFcqrX+a1RwabgPPzihWeesiNiHCmp8kGpV2D+n7TI3VMdHxJ7URWrnpnz7DrDsjcB7o562dj21D1+j+txPM35N1qCef6Bu3rbqeJ9vUMG+SyPiSOqivAU1ttWAmRlZY7TdQrX4TaUqD8tS3Tp/mZkzlVEwBK1WuY9HjZUxqKwxF4Z9DEQN4vp9qhJ5CLBSTDuA7N1NN6Izm/e6MCJ2py6O+1BZhEczRJl5f0QcCmzffLaXUSnXe1Ld7n4QNU7CS6ggT6ucy1NP2/sL1Z1ttY5y3t4E/o6ifntXNNlqL6TGWvsN8JOhlrNxKHBc8z7XUN0EPgF8oRXY7WLeJiNqILdl3wMyhuvLzWfX7unsG7i+3W+p4/7UiNiX6j6xKnUOaQ0S/13q93BFRBxMfacfpm7U98zM3ujL/jwiIn5IfT9fpO/JVf+XmXdFxD+pJ0YtTFVkX0tlzPy4Y1uXR8Q3qeNucyqAtXXO3OPGBy0jlaW1F3XOPjsijqcCt/tSY6FcTTOOWrus8W52o8Zc/CnVfXJhqhV1En2ZQFcBuzQttFdTXXT2pgJwv2u2/23qiZZH0BcMmp/Bj8+TqKDusrQ9fTgz74uIO4FtI+JfVFbDe6hBq1v7PSSZ+aeIOJHKIJyfCg69ifrMfkVfVuh5VEPEyRHxfeocszsV2Gn5BdV18/SIOImqcG9LnTsGGkft59Q5//jmpvN26mZzNeA9mflQRHybOjdPps5zr6DO9ckwxvZpTKKecNrqyjMjBv39DLM8AB+JiLOoY3JGjxdJXTT1pq9TY4SeCZxM3XDvQ2VwdfY4+X/NefGvVB381fQ1CvTnEOr6dklz/Z1MXZNeTUcj4iDl/GfUWJu7U3XQoQxBAHXP8kvqwWNHUT0A9mJ4Qf3W+1zQfEanUOfyr1ANqN8eYJ3vUvcMv4iIvamAx5603Rc19cGDgH2bOsMVVNfWvalhEBdxAYsAACAASURBVLpl5l9N3QNe0LzHJKqhPqjrQb8y85Goh0R8mGmvF1dSjR4XD9A42zIJWCXqac7XdllupHyHythr1aEepD7ntYAtmrrKL6l673nNvc8z1DVqPvoyv1vXmg0j4pzM/DvTuxH4aNRTvpPKFvs69R226hVdt5WZf4t6KMSRETGRakR/PRXwO5UOmfl4RPwW+GbTyPl76hq/PTWuWavck4AVm2v3L6m67mDrSGqMWgYaVGCFGkS/8+b1BKrl4kPUoKHrUyfy4fah72Z76mb0PGpcr50y87mLRNZA1RtRJ7ifUUGN/1BjWQ2nix1NS8M7qIGc96Qeg70aNaD5HjNY/q2oR1ifSt1ArdWRLdbu21Qg5Is0AzFTN497Aa+JiEU6lj+fChJM0yrXtCqt2cz7IXXDsQz1ZLbOlPr+yvsDKhhzIXWDfQ4VfBtpZ1AVh+Ooi8yQzOAxsC6Vzv9SKph1dce/bZr3nkzdlF9DBZa+T11Q3zWEYFKnXahg5AeorJ89mm2/pQnOvo8aDLa9a8BHqMrSCtSNfGc5P9CU82EqGHMnlal2EHUjv/5wgzOZeTx92YrnUuN9fCKbJyYNYmI/ZWz/97bhlKXDwVTFvP3ftwbYh6eo7/i3VCbiz6kK/e5UQJLM/A/1+06qG8M5VGVs22yeOJbVFe+LVOvx+dTneif1vdAsD1UpPZ/6Ti+kvucjmnVbY5isTlXMvkMF1l5OPXH3uBn/SIZexsy8gDo/L0adE/anOa9ml3FPmizUj1EBrDOb97+OOm5b47rsQd18fbwpw2HUb3mdzHw2M//QbHte6rpxFnUz9eGc/qEtndv/K9Ug8BjTPyHsw1QA+jiqW8RbqOvRn+j7boZqS+oGZiPqc/kCcDj1BLYpTVkup65JKzVl2YKq1LcPGH0xdUOyHHVOO516Wtc6zb70t49TqIyG06hj9GdUZXuDZptk5j5NmdakrlG7U9/j6oPc+PTnAOo4OJe6uRy2ofx+huFyKhN4P2DnmTleJA2uue60zlM/pa6Tv6LO651jTW1D3QP8mGpAWTczr+7y3ndSQaa/UdfBk6khLN6ZmTcOs6hnUEGlzge8DKgp23uoMdrOpM7Z21IZxEPWnMvXo8aBPZ06F0E9YbPf/W/qcmtS3fV/QO3/WVQSQPtyuzflaj3h+f9R17m3Z/9P226tdw9Vt3mIquueTzWkfyYzB3tgVuv62d5ocnnHvIG0GsvOpRqXRlVT11gduIWq+51BXcM+1NwDkJm/pYbnmJ+6dzqLekjSB7LvIT6XUnXjbzHw8AM7UNezbzb/b07Vb46nGrEnDHFbH6Tqg3s2/29PXSu/PMB2t6DqMl9ulv8GVRfYuG2Z/akxqs+luuIOZR1JjZ7e3lmZ5KVZrclg2xuYJ0eoD3qTLfabzNx60IUlSZKkIYiIragnHL6iCYpJkjTbGu0unHqeiHq09k5UBsQbGUamliRJkiRJ0nhiAG38epJ6ZPJ8wOeG201VkiRJkiRpvLALpyRJkiRJktTFqD5EQJIkSZIkSZrdGECTJEmSJEmSupjjx0CbOnVq75QpdlOVJGmszTPPhAeAiWNdDo2c3t7e3mefnTrWxRhVEyb0MB7rmu73+DEe9xnc7/FkTt1n612z3hwfQJsypZdJk54Y62JIkjTuTZz4orvGugwaWb29jLt610ILzT/u9hnc7/FkPO4zuN/jyZy6z9a7Zj27cEqSJEmSJEldGECTJEmSJEmSujCAJkmSJEmSJHVhAE2SJEmSJEnqoqe3d8572kS7yZOn9M6JAwJKkjS7mTjxRbcAq4x1OTRypk7t7Z1rrp6xLoYkSbOFJ5+ezOOPPjUi7229a9ab45/CKUmSpNEx11w9rLzLSWNdDEmSZgu3HLQ5jzMyATTNenbhlCRJkiRJkrowgCZJkiRJkiR1YQBNkiRJkiRJ6sIAmiRJkiRJktSFATRJkiRJkiSpCwNokiRJkiRJUhcG0CRJkiRJkqQu5h7rAkiCBRachxfO+4KxLsaYefKZp3j8kcljXQxJkiRJkvplAE16HnjhvC9gjcPXGOtijJlrt7uWxzGAJkmSJEl6frILpyRJkiRJktSFATRJkiRJkiSpCwNokiRJkiRJUhcG0CRJkiRJkqQuDKBJkiRJkiRJXRhAkyRJkiRJkrowgCZJkiRJkiR1YQBNkiRJkiRJ6sIAmiRJkiRJktTF3GNdAEmSpNESEXcCywww+yOZeU4/66wDXJaZPSNQnn2AdTJzzX7m/QvYIzNPmNXbHY6ImBuYDLwzM68cy7JIkiSNFQNokiRpvNkJOK2f6Q+PdkEkSZI0ezCAJkmSxptHM/PesS6EJEmSZh8G0CRJktpExIuBHwAbAP8Gju+YvxRwBLAu8CCVzbZXZj4TEZ8BtgIuBbYDngV+DOyYmVNnokzzAAcAHwde1pTr25l5dESsDVzRz2onZOZnI2IF4BBgTWAe4Gbgc5n5x2bdU4BzgE8Bh2TmPhGxF/AloAfYbUbLLUmSNKfwIQKSJEnT+j6wAvAO4MvAjq0ZEdEDnE1191wZ+CQVaPtW2/pvBV4LrAXsTgXS3jOTZdoV+CDwMSCAE4DDI2IJ4Dpg8bZ/mwFPA0c05T0PuAtYEVgdmAAc1PbeSwIvBlYCToiIbYDtgS2oIOEWM1l2SZKk2Z4ZaJIkabw5IiIO7Zg2KTOXiogFgY2pgf1/AxAR+wGHN8u9C3gl8LbMnAL8JSK+CFwaEbs2y8xNZXg90sz/EvAW4KIByrNaRDzez/T52/6+DdgqM29oynQAsBcQmflv4N5m+lJUttmOmXlLRPwfcBxwVGY+3ixzAvD1jm0dmJl/a+ZvDXwvMy9oXm8D3DpA2SVJksYFA2iSJGm8+Qbwk45pU5r/X01laP2+bd7NbX+/BlgIeCQiWtN6gHnpe7rnA03wrOVRquvkQH4LbNrP9Ktbf2TmORGxbkQcTGXHrdTMmtBaJiLmBX4KXJ6ZRzXr/S8ijgI+FRGrtK37YMe27mz7+7VUd9HWtm+LiKe6lF+SJGmOZwBNkiSNN/dn5h2DLNPT9vfktr/nBm6num12+mfz/zODvF+np/orT0RMaft7P+BzwA+Bk4FtmTboBZV5thCwddt6CwA3AQ9R45ydTgXRvtZZhkHK+2yX8kuSJM3xDKBJkiT1SSpg9hbgkmbamzvmvxx4MDMfBoiINYGvUIPwj5TPA9tl5unNNl/bTO9pXm8GfBZYtdVVs7F2U943ZubkZtn16B7Qu43a/7Oa5V8FLDDL9kSSJGk2ZABNkiSNNy+OiMX6mf6/zHw0Ik4GDmueqPlCYM+2ZS4F/g6cGhG7UeOUHQf8PjOfauvWOas9CGwQETdSDwr4XjN9voh4A/XU0J2A/7bt25RmvfmBDZt116GervlEl20dARwVEb8B/kyN/zbDTxCVJEmaE/gUTkmSNN4cDPynn397N/O/BFxDBct+RN8DBGgeHPBBKjh1HXA+NVbZViNc5i2ANwB/BE6ixnC7gcqO+ygVJDsK+G/b/tyUmddTY74dDvyBylLbFlgkIpbub0OZeTL1gILDqH37OfDYSO2YJEnS7KCnt7d3rMswoiZPntI7aVK3RlZp7E2c+CLWOHyNsS7GmLl2u2u5/37vzaQ53cSJL7oFWGWsy6ER1bvyLieNdRkkSZot3HLQ5iN2H2S9a9YzA02SJEmSJEnqwgCaJEmSJEmS1IUBNEmSJEmSJKkLA2iSJEmSJElSFwbQJEmSJEmSpC4MoEmSJEmSJEldGECTJEmSJEmSuph7rDYcEccBr8rMtZvXbwK+D7wJ+DPw+cy8qW35jYEDgCWAy4CtM/O+0S63JEmSJEmSxpcxyUCLiHcDW7a9/j/gIuAGYGXgauDnEfGiZv5bgBOB/YC3AS8GThrlYkuSJEmSJGkcGvUAWhMsOwa4tm3yJsBkYKfM/DOwA/BIMx1gO+BnmXlCZv4B2Bx4T0S8avRKLkmSJEmSpPFoLDLQ9geubP61vA24NjOnAmRmLxVgW61t/q9aC2fmP4G72uZLkiRJkiRJI2JUA2gRsRqwEbBzx6zFgX93TPsvsNQQ50uSJEmSJEkjYtQeIhAR8wHHA9tn5sMR0T57fuDpjlWeBuYb4vwBTZjQw0ILzT9DZZY0evydSpIkSZKer0bzKZx7Abdn5k/6mfcU0wfD5gOeGOL8AU2Z0sukSYMuJo2piRNfNNZFGHP+TqU5n+c6SZIkza5GM4D2CWDxiHi8eT0vMKF5fRqwWMfyiwH/af6+Z5D5kiRJkiRJ0ogYzTHQ1gZeD6zY/DsWuLn5+wZg9YjoAWj+X72ZTvP/mq03ioiXA0u3zZckSZIkSZJGxKhloGXmXe2vI+Jh4MnMvCMi7gO+DRweEUcBWwMvBs5oFj8auCoirqWCZocBF2Xm7aNVfkmSJEmSJI1Po/oUzoFk5qPA+6mss98AawDvy8zHmvnXU0G1PYDrgUeAT49NaSVJkiRJkjSejOYYaNPIzD06Xt8ErNRl+ROBE0e6XJIkSZIkSVK7MQugSZIkac4ydWovtxy0+VgXQ5Kk2cKTT08e6yJoGAygSZIkaZa5//7HxroIo2qhheZn0qQnxroYo879Hj/G4z6D+z2ejMd91ox5XoyBJkmSJEmSJD1fGUCTJEmSJEmSujCAJkmSJEmSJHVhAE2SJEmSJEnqwgCaJEmSJEmS1IUBNEmSJEmSJKkLA2iSJEmSJElSFwbQJEmSJEmSpC4MoEmSJEmSJEldGECTJEmSJEmSuph7rAsgSZKkOUMPvUyc+KKxLsaoG4/7DO73eDIe9xnc7/Fi6uSnx7oImk0YQJMkSdIs0TPXXNz9zTeMdTEkSRqypfe6FXhmrIuh2YBdOCVJkiRJkqQuDKBJkiRJkiRJXRhAkyRJkiRJkrowgCZJkiRJkiR1YQBNkiRJkiRJ6sIAmiRJkiRJktSFATRJkiRJkiSpCwNokiRJkiRJUhcG0CRJkiRJkqQuDKBJkiRJkiRJXRhAkyRJkiRJkrowgCZJkiRJkiR1YQBNkiRJkiRJ6sIAmiRJkiRJktSFATRJkiRJkiSpCwNokiRJkiRJUhcG0CRJkiRJkqQuDKBJkiRJkiRJXcw91gWQJEkaSxFxJ7BM26ReYBJwNfClzPznKJfnM8CPBpi9UWb+dBSLI0mSJAygSZIkAewEnNb8PQF4LfB94ETgXWNQnv8AK/Uz/eHRLogkSZIMoEmSJAE8mpn3tr2+JyL2Ak6JiAUz85FRLs/UjvJIkiRpDBlAkyRJ6t/Tzf9TIuJrwOaZ+drWzIj4PLBtZr4xIlYADgHWBOYBbgY+l5l/jIi1gVOAbwJ7AS8ELgS2ycwnh1uoiFgW+EfzXjsCZ2fmFhGxK/A5YCngQeDYzNyrWecNwJHAysBjwKnArpn5bET0ALsDXwAWAK4HtsvM25t1e4H9gM8Dv8/MdYZbZkmSpNmdDxGQJEnqEBHLUwGvizPzceB0YIWIeH3bYhsDpzcBqPOAu4AVgdWpbqAHtS37MmAT4H3AFsBHgc/MZDHfDqwCfDsiNgN2BrYGXg18A9gzIt7aLHsK8BfgDU25PwVs2cz7ErB5M21V4A7g8oiYv21bH6KCg1+ZyTJLkiTNlsxAkyRJgiMi4tDm77mBZ4Bzge0BMvOuiLgO2Ai4LSJeRgWwtgTmB44DjmqCbUTECcDX295/bmD7zLwV+ENEXAy8BTh6gPIsERGPd0w7LjO3b3t9WGb+rdneksBnM/PyZt73I2Jv4HXAr4FlgZ8Dd2Xm3yNifSpLDeCrwJcz85fNe21HBfo+CpzcLHNMZuYAZZUkSZrjGUCTJEmqjK2fUF0Y96aeyrl7Zj7YtsxpwHbN/I2AmzLzHwARcRTwqYhYBViBegBA+7oAf2v7+1Gqq+dA/gus1TGtcxy2O1t/ZOYVEbFqRHwLeA3wZmAxKhMOYDfgcGCbiLgIOCMzb4mIBagun6dGxNS2934Blck23bYkSZLGIwNokiRJcH9m3gEQEZsANwHnRMSqmTm5WeZM4LCIeB0VQDu9WX6BZvmHgHOa6SsAX+vYxjMdr3u6lGdKqzxdPNX6IyK2BA6jMuHOorpzXtGan5lHRcQFVFfM9wPnRsR+QCvrblPgTx3vP6m/bUmSJI1HjoEmSZLUJjOfAbYC3kQN0t+a/gDwC2qssLdRATWAtYGXA2tn5kGZ+QtgaboHyGa1LwD7Z+b2mXkS8AA17lpPRLwgIg4DejPz8Mx8L7APsElmTgLuAxbPzDuaoN0/gAOo/ZckSRJmoEmSJE0nM2+KiOOBPSLilMy8p5l1GnAMcHVm3ttMe5AaB23DiLgRWIcamP+JUSzyg8C7I+IsqhvqAVQX0fky86mIWBNYJiJ2o+p/6wO3NOt+F9g3Iv4L3AbsAqxLM/6bJEmSzECTJEkayNeBycB32qadTWWWnd6akJnXU2OoHQ78AfgssC2wSEQsPUpl/QoVxPttU8ZbgZ9RY6FBPQH0BcANwDVUltl2zbzvAN8HjmzK/3rgPZn571EquyRJ0vNeT29v71iXYURNnjyld9Kk0WwAloZv4sQXscbha4x1McbMtdtdy/33PzbWxZA0wiZOfNEtwCpjXY6ZERHLAH+hujxOGmz5caj37m++YazLIEnSkC29161z5L3InFDver6xC6ckSdIgIuL/qG6PWwA/M3gmSZI0vhhAkyRJGlwvcCxwF7D1GJdFkiRJo8wAmiRJ0iAy8wngJWNdDkmSJI0NHyIgSZIkSZIkdWEATZIkSZIkSerCAJokSZIkSZLUhQE0SZIkSZIkqQsDaJIkSZIkSVIXBtAkSZIkSZKkLgygSZIkSZIkSV3MPZobi4gVgCOAtwEPAkdk5kHNvGWAY4E1gLuBHTPzorZ13wkcBrwK+DWwVWbeMZrllyRJkiRJ0vgzahloETEPcBEVHFsR+CKwZ0R8MiJ6gHOpoNpbgBOBn0XEK5p1Xw6cB5wCrALcC5wbEWbQSZIkSZIkaUSNZgbaklTm2Bcz80ngjoj4BfAO4D9AAGtl5mPAnyJiHWBLYA9ga+D3mXkgQERsQQXR3gX8YhT3QZIkSZIkSePMqAXQMvNOYBOAJuNsdeDtVCba24DfNsGzlmuAtZq/3wb8qu29noiI3wCrYQBNkiRJkiRJI2isukD+iwqQXQ/8FFgc+HfHMv8Flmr+Hmy+JEmSJEmSNCLGKoD2oebfSsAhwPzA0x3LPA3M1/w92HxJkiRJkiRpRIzqUzhbMvNmgIiYn3pgwA+BBTsWmw94ovn7KaYPls1HPXSgqwkTelhooflnqrySRp6/U0mSJEnS89WoBdAiYklg5cw8r23yn4B5qYcIvKFjlcWa6QD3NK8759822HanTOll0qQnBltMGlMTJ75orIsw5vydSnM+z3WSJEmaXY1mF87XAGdFxEvbpq0M3E+Nh7ZiRPxf27w1gRuav29oXgPPZa69uW2+JEmSJEmSNCJGswvnVVTG2QkRsROwHPBtYP9m3l3NvH2ADagnb27ZrPtDYJeI2B04G9gTuBu4fBTLL0mSpC56p05l6b1uHetiSJI0ZFMndw63LvVv1AJomTk5IjYAjgBuBB4DDgW+l5m9EfEh4HjgFuBvwEcy885m3TsjYkPqgQO7U5lnH8rMqaNVfkmSJHXXSw8P3P/YWBdjVC200PzjchgC93v8GI/7DO73eFJjMT8z1sXQbGBUHyKQmXcDHxxg3h3AO7qsexFw0QgVTZIkSZIkSerXaI6BJkmSJEmSJM12DKBJkiRJkiRJXRhAkyRJkiRJkrowgCZJkiRJkiR1YQBNkiRJkiRJ6mLIAbSIODQi3jqShZEkSZIkSZKeb+YexrKLAZdHxP3A6cDpmXnbyBRLkiRJkiRJen4YcgZaZm4KvBTYFXg1cGNE3BYRu0XEK0eqgJIkafZx3XXX8JWvbMvHPvYB7r33PxxzzFGce+5ZY10sSZIkaaYMawy0zHwyM3+SmRsBLwPOBvYEbo+I6yPisxHRMxIFlSRJz2+XXHIh++67Fyuu+GYefvghpkyZwiKLLMoRRxzCj3986lgXT5IkSZphw+nCSRMcezuwMbAhMB9wGnAGsAQVTHsPsOmsLaYkSXq+O/XUE9lll6/zrnetw2mnnQzARz+6MQsvvDBHHfU9vvSlz49xCSVJkqQZM+QAWkQcCXwEWBC4APg8cFFmPtO2zNPA8bO6kJIk6fnvnnv+xQorvGa66csvHzz44INjUCKNup5eJk580ViXYtSNx30G93s8GY/7DONzv59+9umxLoL0vDWcDLRXUuOfnZ2Zjw+wzK+BD8x0qSRJ0mznla98Fddffw0f/egmAPT01KgOP//5eSy33KvGsmgaJXP1zMUah68x1sWQJM2ga7e7Fnhm0OWk8Wg4AbT/AOd0Bs8i4iXAMZm5UWb+A/jHrCygJEmaPXzpSzvw1a9+hZtvvolnn53MCSccxz//eRe33/5XDjzw0LEuniRJkjTDugbQImJN6ombAJ8Gfh8Rj3UstgKw3giUTZIkzUbe9KYVOe20n3H22T9lwoQJPPbYY7zxjW9m770PYLHFFhvr4kmSJEkzbLAMtMeAPYCe5t9OwJS2+b3A48AuI1I6SZI0W1lkkUXZaisfFiBJkqQ5S9cAWmb+nhr7jIi4AtgwMx8ejYJJkqTZy91338kxxxzN3XffyTPPTJ5u/uWXXzYGpZIkSZJm3mBdOOfKzKnNy3e3pvW3bNtykiRpHNpnn92Za64JbLDBh5h33vnGujiSJEnSLDNYF87JEbF4Zt4HPEt12RzIhFlXLEmSNLu5++67OPbYk3jFK1451kWRJEmSZqnBAmjvAh5q+7tbAE2SJI1jq666Gn/84x8MoEmSJGmOM9gYaFe1/X3liJdGkiTNtrbbbie22OKTXHLJRSy22OL09PRMM/+QQ74zRiWTJEmSZs5gY6D9kyFmnWXm0rOkRJIkabZ00EEH0NMDCy64IFOnThl8BUmSJGk2MVgXzj1GpRSSJGm297vf3cJRRx1PxApjXRRJkiRplhqsC+eJQ3mTiPBRW5IkjXOvfOVyPPbYo2NdDEmSJGmWGywD7TkRsTiwO/A6+p642QPMBwSw4CwvnSRJmm184AMfYd9992L99Tdg8cWXYMKEaR/Q/dnPbjZGJZMkSZJmzpADaMAPgVcAZwE7AwcDywEbAtvP+qJJkqTZyckn/4h5552Xyy+/tJ+5PQbQJEmSNNsaTgBtLWDdzLw+ItYFLsjMayNiV2AD4IgRKaEkSZot/OQn5411ESRJkqQRMZwAWg9wT/P3n4CVgGuBM4GvzuJySZKk2dCDDz7A3XffxdSpUwHo7e1l8uRn+Otfk513NmFdkiRJs6fhBNBuATYH9gN+B7wHOJzqxilJksa5c875KYccchBTp06lp6eH3t5eAHp6enjd616PIz5IkiRpdjXXMJbdFdghInYETgJWiog/U2OinTEShZMkSbOPU045kU9/eksuv/xaXvKShfnpT8/npJN+zPLLB2uu+Y6xLp4kSZI0w4YcQMvM64FlgFMz80FgFWrcs22A7UameJIkaXbxwAP3s/76GzDvvPMSsQK33XYrr3jFK/nKV3bi/PPPGeviSZIkSTNsOF04yczHgccjoge4Fzh6REolSZJmOwsvvAiTJj3M4osvwdJLL8vttyfvfve6LLroRB544P4hv09ELATsDnwUWAz4J/Aj4ODMnNws00s93OgXQ3zPE4C5M7Pro0CbOs7ngGMyc+pQ15sREXEn1TjZn49k5nRRx4hYG7gCmAdYCvgHsHxm3jGryydJkqQ+Qw6gRcQq1Jhnq9B/5tqEWVUoSZI0+3n3u9djv/32Ztdd92DVVVfjm9/ck+WXfzXXXXc1Sy219JDeIyIWBq4H7gO2Bv5OPbjoe8DrgRkNZH1liMu9nWogPA6YOoz1ZtROwGn9TH94gOWvAxbPzGcjYuRKJUmSpGkMJwPtSOApYEPg0ZEpjiRJml197nNfZIEFFuDRRx9hzTXfwQc+8GEOOeRAXvziBdltt72G+jb/D5hMZZc91Uz7R0Q8AFwZEYdn5o3DLVtmPjLERXtmcL0Z9Whm3jvUhTPzGaoXgCRJkkbRcAJorwdWzczbRqowkiRp9jX33HPz6U9v+dzrbbbZlm222XbI60fEfMCmwC5twTMAMvOqiHgXcGvb5NUj4mAggJuAzTPzH003x1OAc4BPAYcAy9J0xYyIFwPHAutSdaFfANsCL6C6RwJMjoh3Ap+hrQtnROxKdfFcCngQODYz92rmXQlcDqxBZbL9Ddg1My8c8ocw/WdyJ3AmlXk3CfgycBnVhbNz2W2A7wLrZOYNEbEtsDOwBPBX4OuZeUGz7FLUWLbrNvtxGrBXZj4TEZ8BtgIupca5fRb4MbBjZk6d0X2RJEmanQ0ngPY74BWAATRJktSvG2+8nj//+Y9MmTKF3t7eaebtttsug62+HLAAFQybTmZe0TFpG2Bz4H7gVOAg4GPNvCWBF1PdP6cA+7Stty8VUHtHM+8YKsi2GTXu2s+oANn9VAANgIjYjApIbUoFx94LHB0RF2Tmr1u7SQXjdgC+CRwXES/PzCmD7XwXnwLeQw2hsVB/C0TEB5t9+FATPHszcCiwEVWH2+z/s3ffYZJUVQPG32ETmUVdAUFAUQ7hQ0CiZBQDSQVBRBCRHBUBQSSDBEFABMk5SBJQgigSJAdFlHyUjCQXiUvYhd35/ri3sRl2Z2fZmekJ7+955pmZqurqWz093dWnzj0HuDAiPga8AlxKOadbAhhFmbY6jDKlFGBp4N/AisBylIDjH4GrpuI4JEmS+q0pCaD9mnISeCalHsm45pWZeVp3DkySJPUvv/zlEVx88YXMN9+nmWGGGd6zrq2tbRK3eo9GcKir0yYPzszrACLiVGCHDusPy8xH6vrm5fMCY4DHMnNM93NgGgAAIABJREFURHwHmDUzx0fEi3Wb5ydSZ+xp4HuZeW39/YSI2BdYGGgE0K7KzDPqfR4I/IMSzHtyEsdwbET8osOylzNzrqbfz83Me+o+V5nIPj4HHEfJwGs0VZgXaAeeyMwnIuIQSmByHPB54JPAsjWw91BEbA9cXTPsoJwjbl2nsD4UETsAS2EATZIkDVJTEkDbFXiDciWzo3bAAJokSYPYtdf+id1225M11/zqB93FC/X7rF3c/pGmn1+hTMFs9vgkbnco8HtgdERcT8nGOmtyd5aZ10fEMjUYtSCwOKVLaHMjpeYxNWrGvm+6ZZP9gYs6LOuYrfb4ZIZ2MuWc7ommZX8Ebgbujoj7gMuAUzPzjYhYkBKsfKUpQNgGDOd/XUFf6FD/7dXJHIckSdKA1uUAWmZ+oicHIkmS+rfx48ezyCKLTs0uHgFepEwffN80zoi4ADgvM3/buMsOm3RMc3uLicjM2yJiHmBtYA3gCODbwKqdDS4iNgeOpnTovIRycbHjtNJxHW83kXE1G52ZD3d2v0ziOJrsS6lVe1xELJuZE2qgbDVgBWAtytTWHSJiRcr537/q8o6eqt+n9DgkSZIGtGmmZOOImCsifhYRl0XElRFxREQs0FODkyRJ/cd6623AaaedxBtvvPGBbl+nE55HCfSMaF5XC/p/k1KXbKpExE6UxkjnZuZGlCDaKhExGyWrflK2BQ7KzJ0y8yxKxtxstD6wdDGwOyUrbkuAiPgcsFdm3pSZjXXPA6sDCXwc+G9mPlwDeLMDhzCF54aSJEmDRZcz0CJiZcp0h38At1GmKywPbBcRq2XmLT0zREmS1B/ceeftPPjg/Vx//TXMMstIhg5972nGTTfd2JXd7A+sCfyp1hd7kpJF9XPg9G463/g4sE1EbAY8B2xU7+cFSm00gM9GxD0dbvdf4AsRcQml2cHBlGmNI/jgZo6I2Sey/PXMfK2rO8nMZyLiIODgiLgYeBPYJyL+Q5nOuRjluO+iZM09CpwbEXsA01Oy6v6RmW91qPsmSZIkpqwG2s+BozPzJ80Lax2QwykdmiRJ0iC19tpfZ+21vz5V+8jM0RGxPGVa4lnAR4DHKHXLfjnVgyz2pnTo/C0wE3AHsFZtInAvJeB0E6XbZrMfUGq+3k0Jtl0IvEaphfZBHVG/JrZ81ync11HA5pTmCZtFxKbAXpRpp88AuzSaDNSunb8EbqUE2y4Fdv4gByBJkjQYtHVsMT8pEfEG8JmOdToi4tOUK5bT98D4ptrbb49vf/nlDzaVROoto0bNxPLHLN/qYbTMLTvewujRXU60kNRPjRo1013AkhHxJLBiZj4xuduo32kfzO9nktTfDcbz8pEjp2cgxgwa512tHsdAMiV1Lh4DlpnI8mUpNTUkSZK6Ylbe27lSkiRJ6tOmZArn4cCJEbEwcGddtgywPfDj7h6YJEmSJEmS1Bd0OYCWmWfUorI7AjtR6mU8BGyamZf0zPAkSZIkSZKk1pqSDDQy8wzgjB4ZiSRJkiRJktQHdRpAi4gDgEMz84368yRl5j7dOjJJkiRJkiSpD5hcBtqKwJHAG/XnSelaK09JkiTPGyRJktTPdBpAy8xVm379LvDvzJzQvE1EDAE+0wNjkyRJA1NbqwcgSZIkTYkpqYH2GDA7MLrD8k8AtwDTd9egJElS/zBhwoTJb/R+qwJPdfNQJEmSpB4zuRpoWwF71V/bgLsjouOZ8izAfT0wNkmS1MetvPIytLV1LaHswQcfBCAz/9qTY5IkSZK62+Qy0E4H3gKmAU4DDgNeaVrfDowBruuR0UmSpD7t6KOP73IATZIkSeqvJlcD7W3gLICIeAy4JTPf6Y2BSZKkvu+zn12y1UOQJEmSetyU1EC7CVg3IhYGhtRlbcAIYPHM/GJ3D06SJPVt6667Zpe3vemmG3twJJIkSVLPmZIA2rHA94C7gaWBW4H5KI0FftX9Q5MkSX3dlltu2+ohSJIkST1uSgJo6wMbZeYlEfEQsC3wEHAmXezAGRHzAb8AVgBeBy4A9szMtyJiHuBkYHngSWDnzLyq6barAkcDnwLuBLbIzIenYPySJKmbrb76Wq0egiRJktTjpiSANjPwl/rzvcAymXl/RBwCXD25G0fEcOBy4AFgOeCjlMYERMSuwO+AB4GlgK8CF0fEwpn5WER8HLgMOBC4AtgH+F1ELJKZHbuCSpKkFthuuy06bShw4YXn9+JoJEmSpO4zJQG0R4DPAk8B91OmcZ5G6dA5cxduvzQle2zpzBwDPBgRewNHAlcCAayYma8BD0TEasDmwF7AlsA/MvMwgIjYDHgO+DxwzRQcgyRJ6iFLLrn0e34fP348zzzzNLfddjObbrpFi0YlSZIkTb0pCaAdDpxXg1cXAH+LiHZKNtktXbh9AmvU4FlDO6UJwbLA3TV41nAzsGL9eVng3crDmflGRPwN+BwG0CRJ6hM222yriS7/wx+u5Nprr6ZUf5AkSZL6n2m6umFmng58sfyYDwJfAz5CaSbw3S7cfnRmvhvsiohpgB0o3T3nAJ7pcJPngbnqz5NbL0mS+qjPfGYx/va3v7Z6GJIkSdIH1uUMtIj4ELAWsFREDAPa6tfswEXASlN430cCi1Nqnu0MjO2wfiwlOw1Kk4LO1k/SkCFtjBzZpR4HklrI/1Op/3vqqafet+z118dw6qknMeecc7ZgROptE9oncMuOXZmYIEnqi8a+0/Fjt6SGKZnCeTqwDHAu8OoHvcOIaKN04twOWK82IngLmKXDpiOAN+rPb/H+YNkI4L+Tu7/x49t5+eU3JreZ1FKjRs3U6iG0nP+nUv90xx23sfjiSzB8+HDWWOMrtLW10d7e/p5tPvrR2fjxj/du0QjVq9rbGP3Ca5PfbgAZOXL6Qfke5nEPHoPxmGFwHzeMa/UwpD5pSgJoKwNrZebNH/TO6rTNU4GNgA0y83d11dPAoh02nx14tmn97BNZf98HHYskSZp6e+21G+eccxGzzTY7s88+Bwce+DNGjhxZ17YxbNhQPvShD3fanVOSJEnq66YkgDaakgk2NY4Avg2sm5lXNC2/HfhJRMyQma/XZSvU5Y31704RjYjpKdM/fzqV45EkSVNh5MgPcdhhB7PAAgvy/PPP8ac//YHppptuotvuscePenl0kiRJUveYkgDa7sBxEbEf8Cgd8joz89HObhwRywI7AXsAf42I5oyyG4AngDPq/teidN7cvK4/DfhRROwJXArsDTwJXDsF45ckSd3s4IMP57TTTuLee/8BwAMP3MvQocPet50ZaJIkSerPpiSA9pv6vZE51ihw0lZ/HjKZ269Xvx9Sv5oNo3T1PBW4C3gEWCczHwfIzMcjYl3gKGBPSkba1zJzwhSMX5IkdbNPf3p+Djnk5wCsv/5XOfTQI5lllpGTuZUkSZLUv0xJAO0TU3NHmbkrsGsnmzxMqbM2qdtfBVw1NWOQJEk956KLLmv1ECRJkqQe0eUAWmY+0ZMDkSRJkiRJkvqiaVo9AEmSJEmSJKkvM4AmSZIkSZIkdcIAmiRJkiRJktQJA2iSJEmSJElSJwygSZIkSZIkSZ3ochdOSZIkqTNttDNq1EytHkavG4zHDB73YDIYj3n82LGtHoKkPsYAmiRJkrpF2zTTcMNKK7d6GJI01Va+8QZgXKuHIakPcQqnJEmSJEmS1AkDaJIkSZIkSVInDKBJkiRJkiRJnTCAJkmSJEmSJHXCAJokSZIkSZLUCQNokiRJkiRJUicMoEmSJEmSJEmdMIAmSZIkSZIkdcIAmiRJkiRJktQJA2iSJEmSJElSJwygSZIkSZIkSZ0wgCZJkiRJkiR1wgCaJEmSJEmS1AkDaJIkSZIkSVInDKBJkiRJkiRJnTCAJkmSJEmSJHXCAJokSZIkSZLUCQNokiRJkiRJUieGtnoAkiRJfU1EtANfzMxrWj2WjiJiFHAwsDYwK/AYcDZwWGa+3c33dQTwDWCxzHy5O/ctSZLUnxhAkyRJ6l+uBJ4G1gJeAJYAjgU+Avywu+4kImYEvgusbfBMkiQNdgbQJEmS+omIWARYClgjM1+oix+PiFmAYyNil8yc0E139ybwicx8rZv2J0mS1G8ZQJMkSZpCEbECcCSwCPAocGhmnl3XnQG0AZ8BPg6sCvwb+BnwNWA64HJgx8x8MSL+ADyamds17f984D+Z+f0Od91ev38ROK9p+fnALY31EbEAcBSwAjAM+CuwdWbeHxGrAOcABwD71PH8HtgqM9+st/86cBDwiYh4CPhJZv7hgz5ekiRJ/Z1NBCRJkqZARMxOCTidSwmgHQAcExFrN222cV2+OnA/cCmwGKVu2ReAoNQtA/g1sG5EDKn7n54yPbM5QAZAZt4HXAv8OiL+ERGHRcSXgLezaI+INuAy4Il6n8sBQ4DDm3Y1G7ABsAawGaXO2ab1/hetYzu0Ht9JwKURsdgHebwkSZIGAjPQJEmSpsz2wPWZeXT9/eGa8bUTJbMM4O7MvBQgIj4DrAwslJkP1mUbAQ9FxMKU4NoJwErA9cCalNpmt0/i/tek1Dr7DvCj+vVsRGyamVcD0wOnAMdl5ph6f2cAP2nax1Bgp8y8F7inZsEtBRwP7Aqc1sioAx6JiGWAHYHNp/TBkiRJGggMoEmSJE2ZBYHVI2JM07KhwOim3x/vsP1rjeAZQGZmRLwELFinVV4BfJMSQNsAOC8z25mIzBxLyQ47NCLmpmSR/RD4bUR8MjOfi4jjgO9ExJLAAsBngf922NUjTT+/Spnq2RjvIhHRHCwbBtw58YdDkiRp4DOAJkmSNGWGUqZXHthh+fimn9+axM/NhtQvKNM4T4yI3SgBsWUndoOIWBeYMzOPAcjMJ4ETIuI3lDprK9Rssr8ALwK/rWNdAPhxh92N6/B7W9Px/Rw4vcP6sZM4DkmSpAHPGmiSJElTJoH5M/PhxhfwZWCLSWz/EDBTRCzYWBARCwEz130BXAUMB3YHHs/Meyaxr3mBfSJixg7LxwDvULLgVqE0L1glMw/PzGuAuflfgKwrx/fJDsf3HWCdLt5ekiRpwDEDTZIkaeKWjIiO50q3AscB34+IQ4DTgEWBwyi1w96nTte8AjgzIravi48Dbs7Mv9dtxkbEJcAulO6Xk3IG8APgmojYlxKcmxfYGbgXuJGSvTY9pTHBHcBqwA7AG1087qOAmyPiTkpNt9WAPSkdRCVJkgYlM9AkSZIm7hBKZljz1/yZ+QSlS+ZqwH3AEcC+mXl8J/v6LvAvSgfNqymdOb/aYZvzgWnr94nKzBeB5YEHgFPrPs+jTN9cIzPbM/M2YH/gGOAe4HvAdsCHa820TmXm7cBGwJZ1nD8EvpeZV07utpIkSQNVW3v7ROvTDhhvvz2+/eWXu3rBVWqNUaNmYvljlm/1MFrmlh1vYfTo11o9DEk9bNSome4Clmz1OPqqiNgE2D4zl2n1WKZC+w0rrdzqMUjSVFv5xhsG5fnpyJHTM9g+Pw/UY/a8q/s5hVOSJKmFIuKTwFLAPpTumpIkSepjnMIpSZLUWvNSaqndzfs7X0qSJKkPMANNkiSphTLzOmCGVo9DkiRJk2YGmiRJkiRJktQJA2iSJEmSJElSJwygSZIkSZIkSZ0wgCZJkiRJkiR1wgCaJEmSJEmS1AkDaJIkSZIkSVInDKBJkiRJkiRJnTCAJkmSJEmSJHXCAJokSZIkSZLUCQNokiRJkiRJUicMoEmSJEmSJEmdMIAmSZIkSZIkdcIAmiRJkiRJktSJoa2404gYAdwF7JSZ19RlHwJOBL4MvAjsm5lnNt1mUeAEYFHgQWCbzPxLb49dkiRJkiRJg0uvZ6BFxLTAecDCHVadAXwYWB44ADgxIpart5kBuAq4HVgCuAm4MiJm6qVhS5IkSZIkaZDq1Qy0iFgI+DXQ1mH5fMDawKcz82Hg3ho82w64FdgAeBvYJTMnRMQPgTXr8lN68RAkSZI0Ce0TJrDyjTe0ehiSNNXGjx3b6iFI6mN6ewrnisDVwH7A603LlwGercGzhpuBvevPywK3ZOYEgMxsj4hbgM9hAE2SJKlPaKeNF0a/1uph9KqRI6fn5ZffaPUwep3HPXgMxmOGctwwrtXDkNSH9GoALTNPbPwcEc2r5gCe6bD588BcTetzIusX6+YhSpIkSZIkSe/RkiYCEzE90DFHdiwwPCLaOlk/YnI7HjKkrV49kNSX+X8qSZIkSeqr+koA7S3eHwwbAbxZp2tOav1kc4nHj28flCnH6l9GjbIfhv+n0sDna50kSZL6q17vwjkJTwOzd1g2O/BsF9dLkiRJkiRJPaKvBNBuB+aMiHmblq1QlzfWL1enc1K/L9e0XpIkSZIkSeoRfSKAlpmPAn8EzoqIz0TE94CNgGPrJr8BZgSOiYiFgCOBmYHzWzFeSZIkSZIkDR59IoBWbQK8DNwB7ANskZm3AWTmq8CalKyzvwHLA2tk5uDqky5JkiRJkqRe17ImApnZ1uH3/wBf7WT7vwCf7elxSZIkSZIkSc36UgaaJEmSJEmS1OcYQJMkSZIkSZI6YQBNkiRJkiRJ6kTLaqBJkiRpYGkDRo2aqdXD6HWD8ZjB4x5MWnXM48a+wyuvvtmS+5akjgygSZIkqVu0TdPGsbtc3uphSBogdjhi7VYPQZLe5RROSZIkSZIkqRMG0CRJkiRJkqROGECTJEmSJEmSOmEATZIkSZIkSeqEATRJkiRJkiSpEwbQJEmSJEmSpE4YQJMkSZIkSZI6YQBNkiRJkiRJ6oQBNEmSJEmSJKkTBtAkSZIkSZKkThhAkyRJkiRJkjphAE2SJEmSJEnqhAE0SZIkSZIkqRMG0CRJkiRJkqROGECTJEmSJEmSOmEATZIkSZIkSeqEATRJkiRJkiSpEwbQJEmSJEmSpE4MbfUAJEmS+pKIeByYp2nRO8BTwEmZeWg37H8V4HpgWGa+M5H17R0WjQMeBQ7PzNN6+v4lSZL0fmagSZIkvd8uwBz165PA/sBPI+I7vXT/32y6//mB04FTI2KlXrp/SZIkNTEDTZIk6f1ezcznmn4/MyI2BL4BnN0L9/9Sh/s/LCI2A9YFbuyF+5ckSVITA2iSJHWDWWYazvBpR7R6GC017q2xvPLauFYPoye9A4wFiIiZgKOArwIjgceAn2TmxXV9O/DFzLym/r4p8NPMnKub7n9aYD9gI+BDwHXADpn5RF3/SeAkYDngEeDMun7epv1tHxF7AW3AUZl5UGNFROwObA3MBfwXODkz95mKsUuSJPVrBtAkSeoGw6cdwUEbr9fqYbTUnuf8BgZgAC0ihgFrA18CvlcXHwUsWJe9DuwGnBwRV2Tm2G6+/2mBzYCFgG3q4hOA5YFNgBeAw4DLIuKzlIDYFUACSwKLASdSAmHNvl3H/3FKht3zmXlKRGwM7Ap8ixJ8+wpwfD22O7vz2CRJkvoLA2iSJEnvd2xE/KL+PB3wBiVL69y67Gbg6My8FyAifg5sAXyMko02tS6PiPH15+mBl4BdMvPmiJgV+A6wVmZeX+9/I0qjg68Ab1OaICyXmS8DD0TEIsCGHe5jizr+u+uxbgOcAjwNfC8zr63bnRAR+wILAwbQJEnSoGQATZIk6f32By6qP78FPJuZ45vWnwV8PSK2BBYAlqjLh3TT/W8N3Aq0A2/W+29055yf0gjqjsbGmfliRCQlKw7g4Ro8a7iN9wbQxjaCf9XfgB/VfV0fEctExCF1f4sDs3fjsUmSJPU7gz6ANuPM0zLdiGGtHkbLvDn2bca8+larhyFJUl8zOjMf7mT9WZQplGcDxwPPUoJUkzKl51zPdHL/k3rjHlK/xlKmcTbr+PuEDr9PQ8lcIyI2B46mZKNdQpnOeX3Xhi1JkjQwDfoA2nQjhrHEj85q9TBa5q7DN2HMJM/DJUlSRxExM6V+2PKZeVtdtkZd3QhUjQNmbrrZJ7txCA9TGgosA1xV7//DwKcpdc9eB+aLiFky85V6myU67GO6iJgvMx+pvy8NPFh/3hY4KDMPqfseCczG+4NwkiRJg8agD6BJkiRNoTcpQap1I+JZypTKY+u6RivWvwA7R8S9QACb8v6srw8kM1+PiBOAX0bEVpQmAj+j1C77AyV49wRwSkTsQ2k+8APgxabdTADOiIjvA/MB369jhNJs4AsRcQkwI3AwMKzp2CRJkgadaVo9AEmSpP4kM98GNgbWoWRt/QI4iBLAWrxutiOl+cB9wE+Avbt5GLsBfwR+Q6mVNhb4fGa+lZkTgHUpdcv+DuwDnEYJrDW8BFwGXAf8CtgvMy+u635AaVxwN3ApcC9wcdOxSZIkDTpmoEmSJDXJzHm7sM3vgN91WHxq0/q7ef+0yVPruj/TyXTIzJzsVMnMfBPYoX69R0R8FJgnM1dsWvYjSp22xv1/pK46fCL7fghYbnJjkCRJGkwMoEmSJA08l0XED4ErKbXRdqJMxZQkSdIH4BROSZKkASQz/wN8E9iG0lTgVEqNtuNaOS5JkqT+zAw0SZKkAWYSU0wlSZL0AZmBJkmSJEmSJHXCAJokSZIkSZLUCQNokiRJkiRJUicMoEmSJEmSJEmdMIAmSZIkSZIkdcIAmiRJkiRJktQJA2iSJEmSJElSJwygSZIkSZIkSZ0wgCZJkiRJkiR1wgCaJEmSJEmS1AkDaJIkSZIkSVInDKBJkiRJkiRJnTCAJkmSJEmSJHXCAJokSZIkSZLUCQNokiRJkiRJUieGtnoA6v8+NMswhgyfttXDaJnx497ixVfebvUwBr1ZZxzG0OkG7/PwnTff4qUxPg8ltVb7hHZ2OGLtVg9D0gAxbuw7rR6CJL2r3wTQImIEcAywPjAWODIzD2vtqAQwZPi0PHnAIq0eRsvMvc+9gIGLVhs63bTcsNLKrR5Gy6x84w1gAE1Si7UDL4x+rdXD6FUjR07Pyy+/0eph9DqPe/AYjMcsSRPTn6ZwHg4sB6wGbA3sFRHfau2QJEmSJEmSNND1iwBaRMwAbAnslJl3ZebvgMOAHVo7MkmSJEmSJA10/SKABiwKjABublp2M7BURPSbaaiSJEmSJEnqf/pL8GkO4MXMfKtp2fPAcGAU8GxLRiVJA8gsM0/H8BH95W2h+40b+w6vvPpmq4chSZIkqQ/qL5+Upqc0DmjW+H1EL49Fkgak4SOGcuwul7d6GC1j50BJkiRJk9LW3t7e6jFMVkSsDxyfmR9pWrYg8AAwW2b+p5Objwae6OEhSpKkyZuHkjmugcvzLkmS+gbPu7pZf8lAexqYNSKGZ+a4umx2Shbai5O5rU8YSZKk3uF5lyRJGpD6SxOBvwPjgOWalq0A3JWZ77RmSJIkSZIkSRoM+sUUToCIOAFYCdiUkn12NrBVZl7QynFJkiRJkiRpYOsvUzgBdgaOB64DXgUOMHgmSZIkSZKkntZvMtAkSZIkSZKkVugvNdAkSZIkSZKkluhPUzglSZLUx0TECOAYYH1Kh/QjM/Ow1o6q50XEfMAvKI2tXgcuAPbMzLdaOrBeEhGnAJ/KzFVaPZaeFhHDgJ8BmwBtwIXATpk5tqUD62ERMSvlf3sN4E1KDeo9M3N8SwfWQ+pr2V2Uv+01ddmHgBOBLwMvAvtm5pmtG2X3msQxfxY4ElgCeAE4CfhZZk5o2UC72cSOu8P6q4FnMnPT3h6b+jYz0PqJiGhr9RgkSZIm4nBKp/TVgK2BvSLiW60dUs+KiOHA5ZSA4XLARsDXgYNaOa7eEhFfADZv9Th60eHAusDXgLWB1YG9Wzqi3nEcMBelkdvGwHcpdakHnIiYFjgPWLjDqjOADwPLAwcAJ0bEcr07up4xsWOuAcOrgHspAbQdgV2A7Vsxxp7Qyd+6sX4z4Iu9Oij1GwbQ+oGIGJqZFqubAhFhdqUGjYiYJiIG9et5RLRFxJBWj2Ow828w+ETEDMCWlKv4d2Xm74DDgB1aO7IetzTwKWDTzHwwM2+gBFQ2au2wel79m58E3NLqsfSGiBgJbAtsmZm3ZOatwH6U4MJAtwbwi8y8LzOvB34NfL7FY+p2EbEQcDswX4fl81ECpltl5r2ZeRpwDrBd74+ye03qmCl/87eBH2TmPzPzCko22oB4bevkuBvr5wAOBv7Sm+NS/zGoP3D1dY2ss8x8JyKGRcS2EfGFiPhoXe/fr0n9AD0NlMesLls4ImZq7cgGFj8g9y0RMSQzJ2TmhIj4cH3jH1TqY9CemeMjYsb6YUe9LCKmaUzriYjPRsTnWj0m9YpFgRHAzU3LbgaWGuAXsxJYIzPHNC1rpzwWA91BwJ/r12CwAmX64rvTvDLzjMxcvXVD6jX/BTaKiOkj4mPAVyjT3gaaFYGrgY7vW8sAz2bmw03Lbp7Idv3RpI75BuBbHaZrtgPT9tbAetikjrvheOBXwD97bUTqVwbyiU2/18g6i4itgZ8DL1OuCNwLfG0gzUP/oCLia8Dbmfn7+ng1HrOtgP2B14BnImLdzHyxhUMdECKirekD8heBWYB7MzNbO7LBqwaNpqG82a8DPB0R52fm4S0eWo+JiHWA3zdqzzQ9Jw8FNgT+GRG/z8yjanBtQNZq6WtqEHde4HRgEaAtIs6gZC881cqxqUfNAbzYoe7X88BwYBTwbEtG1cMyczRNAZX6OrwDcFPLBtULamB8feD/KNO6BoP5gMeBDSNiT2BG4CLgJ5k5rpUD6wXbUeqevUZJvLiOkn03oGTmiY2fI6J51RzAMx02f54yrbVfm9Qx1/frp5rWTUfJMr6iN8fXUzr5WxMRG1D+39ennMtI72MGUx9SM6jaOixbFvg+sHlmfpxycrZURHynrh+0f8OImBnYlBJYbExjGxIRBwC7AQdS6nPMD/zUTLSpl5ntETF3RNwKnALsDvw2Ig5p8dAGjYm8Rnyc8oFtQUpdkkuAn0XEUi0YXo+LiDUpwfERTcs+FhE3UeovHQLcAxwREQvUAKM1JHtAx/etdy1PAAAgAElEQVSfiJgTOJdy4r0ksBPwBUpgVwPX9JQ6YM0avw+GbKyGI4HFgT1aPZCeUotun0qZrvtSq8fTi2YCPkGpBbU1sA2wHmWq8kD3KeBuSg20NYB5KRf1B4tJvb4NHwznFnXWyTnADJRpjQNWRHyY0hRmi8x8u9XjUd81aIMvfU3TFKT22umnYSPgX5l5YQ0YfQP4KKVA7/T1iv+AfwHvqE4VejUz18nMWyNieM3IG0op7HpgZh6XmTdRUnDXp3yg0xSYxHNrE0q3sfkycylgV2D3iPj6YA7o9rRGja+J1EP8DOUEb+3M/DVwZV3+44H42pCZV2bmZzLz1abn22LAMODLmXkCpTAslKLPTOQx01SoFyvaJpIFvRIwd2ZukpmPA69QslRWj4hlenuc6jVv8f5AWeP3N3p5LL2uvjYfTSmwvWFm3t/qMfWgfSjnpBe1eiC97B1gZmDjzLw5M6+inPtsPZDPe5q6zG5Wa79dBWwB7BARs7V2dL1mUq9vbw70c4vaKOUC4EvAVzPzuRYPqaf9ErgwM+9o9UDUtzmFs0UiYqXMvLHxe4cpSPNFxD2UAq2XA5+OiE9Srmq2Ua7m7005kflxXTagX8Sb1eDZhPoBrr1O4/xWRBxMaS99L3B/RKwA/JASQBsC7BMR92Tmf1s3+v6h8Rh3PDmoQdyVgCNqbb49KVdkL6HUxBg0z8OeVjsEja3P8bb6txhfT1q/DPwV+BfwMUodmqF1uvdGlJOAbYFvUzKC+r2m//dpKM+zXwG3UaaWLEb5v389IjalTDU4G9ggItbLzN80ntMtGn6/FhHzZ+a7tUAaj2NErEjJ+nucMp3pMeD8Wifnu8DKlI5lawFrRcTfG9NuNaA8DcxaL2Q1prPNTsnSGNClE+rr0amU190NagOFgezbwBwR0aj7NhwYEhFjMnPGFo6rpz0DvJOZjzQtS0pNqFGUKX0D0RLAa5n576Zld1HOqedh4B53s6cpr2fNZmeATk1vqNM2L6XUCfvKIAkqfRt4MyIa3YVHAETEUpk50W6dGpwG7FWTviwidgX2by7GHhFzRcTtlODE/ZQPJesDN2XmryhXfGYFjgKupXyA3CYilh4sHwobTQKajrfx/H2DUm/nS5n5NLAv5Y1tc8oJzs6UIM/KwFecyjlpjWnETR+Q14qI/SLia1G6wb4KzAZsXoO8GwPbZeZ6lOnFq9Tb+doyFSLiu8BvKcGx5nqIuwKPAD+gBNd3A84EjgCWpbxunJaZO1GCmrv296vE8b/GII3gbHv9eXZgvygNA46mZJutTOmWdQolgHg5Zbong+V1srtFxDeAc+pFnMayoRHxC0o9lE9RpjHtSPmQuQ9lGttngTMz8wDgScr72Vq9PHz1jr8D44DlmpatANzVaOgzgB1B+dC1bmZe0urB9IJVKFmli9WvkykXcxZr4Zh6w22Ui1SLNC1biFIXbCBflH0GGFlLRTQsWL8/2oLxtMLtwJy1vmfDCnX5QHYupYHCapk5KLrtAp+mzOpovL5dCVxGmbosvcsMtF5Wp1QdlZkd6wcsSpmGtXpmPh0Rx1OK478ZEZ+gfGBeOTPvjYjZgTGUKz8/johvDPQ0Ynj3A3R7RCxKCRyMi1Io/KKI+AMlOPbXzLwhIranvMGtnZljajYalCy+McBAv0r8gTQFamakBB42Af5GqcP3l4jYjpLOfyqwb2YeWLefmfIG8yZwvcGKqfZn4KEaEAYgIhakZjlQivguBMxNCaa/QqlHdw9wQZ0GPg/ldeXIiPhhZv6nV49gKsX/uhA3grmrU47nIUpw8VvAC5RpU4dRsqBOA+6kBA/fohT5XTAiLqBMQXm9d49iQLiTMjW2ud7RfJRgydcz8/oonV/nzMwna8DzQOCOzDyv/j4d5YLHzhFxa2YO6Cv3g01mvhERZwLH1QzQ2SnT27Zq6cB6WJQatTtRziv+Ws/NABioU50y84nm3yPiJcpUtocncZMBITP/FRG/A06vmd7TA4cCJw/wIPHtlAD56RGxM+W4TwTOzswXWjqyXpKZj0bEH4GzImIHSlbeRsCqrR1Zz4lSSH8dykXyp5pe28bX5ikDUsfXsZpp+07H1z3JAFoPq9lO4zJzbM3geYcyDWsYtU1uZt5NmV8+pgbP2jLz+Xr7kcBIyhvYbhFxMmXa5qvA8gPxDSwipqcUnr49M0dHUxe9iNiFkmF2DjAn5QP1RcAJlEyctaIUuP845QP1OzUA+SVKEPLhWsNBVcepbRGxISUYNjewVmbeERFzA3+iZJn9HrgFmD8ihtVCmwtRpnIMhivwPao+pk8AT0TEp4DpMvNeSlbPSOD+zHyTMo3irnqbaYEFgLMomSBfB56gTOV8rL8Fz+A9wdyZKAGyb1GueC8WETtn5tERsQ+lG9gldd38wLGZ+UpErEXJfPo55QOewbMpUAOYbVm7Z0bEypQg2a8p/++foWSeUANijaDYwpSpnBMiYh5KwHc6ykWPGwZZ4fHBZGfKOc11lPOTAzLzgtYOqcetV78fUr/eVV/HB3JgZTD6DiXb+TpKTbQzKefjA1Yt1bEm5cLpdZTzi99QLtgNJptQMtvvAJ6jFJm/rbVD6lHr1+/ndFj+NAOg+6g0tdra2wd84lLLRMTulCuwW2XmtU3L96cEIPanfLD7fESsS0mX/VhmvlSndw6lfPgbQpkqcwCl1sIfge1zAHYIqYGAc4B1KYGxjRonoRExA6Wl8C31w3Mb8BHgxSyd9nak1N3ZDXgYuJVyIj8v5Q1/ixz47ca7rFFLaiJ1zpai/A1GAv/XuNpUawJsS5mi9TIli+85SqBmFUr2z66UzElfWKZQcyCzZvR9gpI6fhVlety3gT2BzzXX8YuIvYDRlC5hjenLHwV2y8yTevUgplK8v77hVkBQ/od/SMke3ZzyHJw/M5+NiH9RXk+3An5KyZa8nxJM2zczj2zBofRrHS5aLEbJNluU0ojlC5QpXEcDe2Tm1Y3ta0DzLUpdzvUoQfjXKdl/f+79I5EkSZK6jwG0HhIRc1Kuzu+cmefVZQtT2l9/gfIh7zlKa+hvUDJJfgvcl5mb1e2nodRduCgzf15rGb0zkIvg18DhsZTgQVA+CB+UmbfV40/KVb+/AJ8HZqFkm/0mMw+LiCso07p+QCn+uCzwSA7srlhTJSJWo6SjPwVcmpl312DkVsAPM/Oapm0fBM7JzIMi4rOUTJRFgEsGSYHRHleD6adTXitGUjI7tqVMpXgW+HFmHte0/fHAHJn59ShF3ecDLqhZav1Cx2BuUyBtS0r22b8yc+m6bgjldfOezNw4Ir5IucCwRmZeWzPPPgn8eiBm6PaWmvm3JPBrSmDyP5TpsldSGtxcRpneeUBmvlZvcy4wS2auFRGjgIUy84ZWjF+SJEnqbgbQekDNjJobuJGS1n8O5er9yZQMsq9l5q112xMotbo+B3yRknW1C3A9JYvkCOBHmfnHXj6MXteUdbILZd79+pSg4ghg88y8sRZR/x6l0OM1lAKnYymFw79FabRwPCXI8OsWHEaf1pQp0kapSXQQsA2lTfVSlMf6POBnwNXADcDRjWlXEXEVMDozN5nIvhvF3q1/1gXxv86ajd9HUerpfI2SjXp4nT5xPSV4sSWwGSX7ai1KgP5tytTaS7M0G+nXajB3E8r/9eGZ+d+IOJ0SEPt+Zv6jbvdlylTiFTPz1oi4mfK/v2R/Chz2Fc0ZZ/X3xsWbBYBDMvPQmgG8G+W5tzblQtB2lNeJw4CZKe9xl/W3zEdJkiSpK+yU1w0iYvqIWLt+ACYz22sNo7MoHyxepUyxOpnymC/adPO9KbW8ts7SwWknyjTE8ynBtLMHQ/AM3tNl70+U6VfTABsC/wYuiYhNszRfWIIydXPdzNwCOJjyGE+bmVdSukIaPGtSs3Zo+pA8EyV77/PAepm5NSWAdjLl+bcEpebFWpRurx+KiPkpz9WzJ7L/aTJzgsGzrqn1EBvZVo1uvK9S6ossBDzTVD9nH2B5YJ3M/AUluH4GJevqHkpX1Ot6b/TdLyJmjIjzKQHzaSnBwtMiYhbgV8CMwBpNz+M/UtqrH1t38U1gf4NnUyb+19m4MV1zBng3CH4A5XEfW5e9Tgla/ocydfNsyrTtnSkXM+6t29ugRZIkSQOSGWhTaVI1uyJiAcpUl1HAdXV61ayUWlz/BvbMzH/XfexECaT9X63pMyPlQ/T9g7HwdUQsTnlMf9WYqhYRVwOrUYIJp1Dq6yQlgLAzJXtv3cx8vBVj7i+idCM9n/LhOClBmEUz89G6/uN13WyZuUZE/JqS2XcNJevvbmCTzBzTivEPJPW1Y19gGHAf5fWinfIaMTYzv9y07RmULKxvA/8FlqbUnXsxM4/p1YFPpY51zuqyb1Kmta+Xmc9FxJKUzKafZOYJEXE4pYnCQZl5fb3NQpTn4zKZ+ffWHM3AUB/LQyj1Np+mZJ0+EBEXA3MAqzTqR0bpQrYZJcv36lqaYG5K7cNrJn4PkiRJUv9nBtrUe5uSXXY15UPt7yJi8cx8iNJ9bFtg6YhYvk6DO4cyLeZLTfv4FaU49jEAmTkmM+8cjMEzgCxdSYdRprBSP0wHpf7TAZRpRI2pbHcDawLbGDx7r0a2TkRMUzPI/kyZHndwnWI1K/BP4FON22TpuPdX4CNRuqEeRwlS/p0SoFzX4NnUi4hlgUcoNfqmp0xZvpzyOnAS8NEo3VAb9qJ0PtoGGJaZN2Tm/v0peFafh+82SujQaGIJ4KUaPFsFaBT+3yQi5gOOonR5XSMiPlRv/wDwEYNnU6dOm72aMm32cso07isjYjngJ5S/zTpNN/kD8CBwQA2C3p+ZVxk8kyRJ0kBnAG0q1A8P4ykdH2ejZEHNA1xYA2Z/pUytugM4ECAzTweeBL5Sr9yTpZvmdylTPge1Rh0t4Fpg89oU4CbgEsrU14Mo9XfmpdRI+2Zm/l9m3tmC4fZptdbZrMDIzHwRmAHYAnigbnI1pdPrahHx0aabDqM8j4dn5s2U4vWLNFZGxLDeGP9AUKfIDZnIqi8Bf8jMVTNzO8q02KUpU5avpwQxt2iaUvdv4ELgY8D4ieyvz2tM8Y2I5SLi+Ig4MCJWrf/zFwL71yYIW1OmAX6KMpV7s8x8BriYEshZvGmfr/X+kfRPETGk1j7saHng9szcNjNPpDz/5gE+nZlJmSZ7aM2MJjMfpgTRfgcMm8Q+JUmSpAHHKZzdICI+Qym4vDjl6v0vgYUp049OqQWvTwb2ycwzIuLzlNpoVwH7NRdvVhERewP7UaYY7l4z+hrrvkyZtnVAi4bXp0TE5sCNmfmvDstHUGoWzZiZy0TEMsAtwAaZeXHdZlNgR8oUzUY9qWMp3U/3rkG4oHSF/Bul9pFBiy7oMEVxVkoH3Ua3wjuBEykdDi+h1J87lBIkeprSWOQASpDtpy0Yfo+IiH0oGaRnUqb9zUjpPLxjRExHCcokcERmPh4R91ECv0dTXle/kJl/as3oB4aIWASYJjP/ERHDKaUHzqeUFjiFElT/MSXQPgZ4pf58Rmb+pO5jiO9bktQ69fztp5k5Vxe2XZXSAOq+Hh9YL6mzKm7OzL1qmYuhmblxa0claTAwA617DAEeB1bLzHszc1XKlLeTatfIeykfUHatU5iuq+tfBrx636Qpm+FOSj2onzaCZ411mflHg2cQERtHxEvArsDrTcsbmSJjKXWNFo2IL2TmHZTn4b41uEZmnkHpWroOJdj2d0o3vWNr8KytZqFcC7wGNArbaxKaCt03gmdHUqZrXliDnQB/oQSI/wO8ACxdG2TsQJn2fSPlb7FWDb71KxPLuqsNAVYENs3M7SndRl8Ctq+19z5BqRn52xo8W5ry2NwBjKkZbAbPpkBEDG36eYaa0XszcHVE7FTrmj1K6fraCKQtlpkXUerzbZmZL1O6QX+jTuvG4JkktdwFNGVkT8Z1wOw9OBZJGjSGTn4TTU5m3l2ntXWs2fUcJdPsk5RpiKtSsnu2A7avAQ41aaqL9HfgRWAx4C/NtZMGu9pk4TTKNNYf12lXjamVpwEPRsTRtYberZQPxcdRnpO7UzJ8tqDU3qNmSV5BmTLXnpm31P21UQK87Zgp2SVN07obGYDLAv8H/ABYAzgiIi6hBCS/CJyZmXvV7WelBJVOqI1IjgWeqwGMPq1Dtl3zYzA/pbbZaEpwbDFKR911KHXN/kN5HKYBngCmA/aIiHUpU7SPo2SjmfU4BeJ/XXHfqb/PR3kfeoYyVXhTyuN8D6Xm3reBQ7N0eW0E4eelXPwhM4+gBNEkSX1Alq7Tdp6WpF5mAG0qNQV2GjW7lgS+AJxAqde1AyVY8U1gD8oHRgyeTdYISq2n2Q2eFTVAdgKlXt4vgX2bpgROm5lvRcQYSkfY6yh1jd6oHQxviYgdM/OYiDgM2DMiLsrMxvPxOUrAt3FfjSla7XW9wbNONAUs2mvm1EmUE9u3gN9k5tkRcR2lttQxmblxRKwNrB2lw+w/gc8DYynBdpqnLfdVjeddc0OA+hgEpabjzMAMEbE/pZZeUgJlQ4HDKRcUZqNMcf8eJftuDUrh+q0y87e9eTwDReP1MiK+BpxHmYI5F3BizSjdIyKWp7w37UZpYHNgfY25ntKY5SPAZS0YviQNOBHxOcpF9SUo51Y3AZtTPhf8EvgGpazBLcAOmZn1NXlS6zalaQpnRBxQ9/dhSoOtnTPztoh4vA7hT/W9+KBJ7bOLx7Ep5X3jE5T3ll0y888RsQ2wJzB30wW1DSglGOakvO//DNiIctHsWmDHzHw+IuYFHqM0B9sZuDQzN4uI3Sl1UeeidCA/OTP36co4JamnGECbSk2BnWcoBb7/Bize9OF3v4i4vS47uRVj7I8y88mI2A043+DZu4ZRggz7ZuaB8G6W07jMfKtusyPlxGn9iHg4M18A/kU5gTkwIk7IzAMi4kfA/pSAxfsYMJu0WjfqnVoQvxE4mxARM1GaLexHqd33IUqA4uZ60+eAgymdeo8EdqFkWP2Gkm35UWDXOtW2T6sZSgdRAtxtlK6MZ2TmYxExLeXkPCkn0xsA4yjTf++jnNxvmLV7ZpSOpItTavVdTwngqAsiYq4sDSY6Lp+H0nF3dspFHCgZZM1FT/cALgVWzcyf1r/bepQPYO8A383Mf/Tk+CVpMKjnB1dSzsU2oXxeOJ3yHvkvSmOhNSllDQ4DzgA+R3n9ntS65v2vU7ddl3KRalfgN7U8wlKUIN03KbWXu7TPSRzHppTZC9tSLop9D/h9RCxAOZc5hpLl3DiPWR+4qJYEOazex1qUsiP7AVfUi44NKwFLAkMiYuN6HN+ilMH4CnB8RFyRNg6T1ELWQJtKXazZ9YfMPKRFQ+y3MvPsLB1KBWTmG5SAzKoRsURdNrZm/KwREc8Dy1CK0X+VMn2QWufoCUo20NF1d2tTTnQ0BSJiK+AGypVbOgR3D6N003y7TsvcmzJNcbWI+FQNSt5C6Th5cma+mJnfojQM2AkYlZmn9d7RfDAR8W3K82l+SvOUZylTAi+rGU+fopwAH5qZT9XabufVq9uXA08BP46I+SJiDspJ8S11n+qimln6ZERsVRswNLq+tgErA9tTMh1Or8+rnwA7R8ScAHWq9u+BLSPiE/U5uxKwbpbOxje14LAkaSCagXIB7YDMfKy+/l5MaTg2LyVj/fEsXY63BX5Ub9fZumbzAm8DT2TmY5RGMJtQGsaMrtu8lJljpmCfE/N9So3cszLzn5m5B/APSibZC5SGVN+AUncTWB04v9bP3AHYJjPvyNLM4Dv1+Fdo2v/RmflIZv6T0lDpe5l5bWY+npknUC5ELtzFsUpSjzCANpUmUbOrMaXLFqfqbmdQprx9CSAi5o6IP1GuZP4K+GtmnkvpqLdBRCxWbzdr3ebLETFjZv45Mx9oCgBrMmq235LAgsCJEbFhI3BRHU55DRgRETNk5n+BqynNF3YEyMyXKJlAi0fE9+uyf9Yge5/P+qt12rYC9s/M1TPzF5n5A+DLlHp7p1CmaoynnMwTEcNqTbdGHa4jKFfEr6BkSy5KqeU3rtcPqB9q+p99qX7fHfhpRMyame31fec64A/AHE3vQ2dQmt0c1LS73YHlgG9FxIgakH+gp49BkgaTWibjDOCHEXFWRPyVkl01hFLKYGbgmYi4HtiQWn9yMuuanUsJLj0SEXdQAl33Z62D2UFX9zkxC/K/7LKG2+pyKDV3160/r0mZdnkr5b1/OHBTRIyp5UZGA9NSLsY1PN74oWakj46IQyLitxHxBCWr+n1NiiSpNxlA6z7W7FKPq8+rrYCNI+JSypS4p4ClsnQmbZws7UkJUlxQa2/9CDg8M+erVyAb+zPI20VZ6ha+SKlbchTlJPTgpvWPUqYwzEi56golW+06YNmIWLEue4jSVODu3hl5t9qCUsft3Ih49/2jZt3uQQnc7kfJyN2srmtkke4IrJ6Zf6QEbTYE1s/MJevVZnVB0//s85Q6c7+lNKi5KCLmrtv8GzgHaIuIHeqyNyl1azZsTJnJzOcp02POTOtySlKPqJm/9wKrAXcBP6Q2ZsnMf1GCSN+kTFXcE7gtIqbrbF3z/rPUs12Ccu5xB6Vu2N8i4mMdx9LVfU7CxJoWDOF/Qa1LgTkjYlHK9M0L6ntWo2TQypREg8bX/JTzpoZGORKidC2/ltJc6BJKfen3lSyQpN5mAK2bZOaTlA8nhxo8U0+qqf8PUYIQ387MzWrNuHe7H2bmrZTskpPqtos2TS229uEUagoWXU6Zcnh4/fpuRJwbEZ+q60+gZJx9JSLmqVd/r6JMRdgHIDPHZOYx/XSK3GzAPZn5346vc5n5IrAvZRrx28AiEfHFpk1eB16t2z6fmX/vp49BSzVloD0PrEhpEvADyoenc+L/2bvvODnq+o/jr+RSqaEKGCDUD0VF6S0YqoCg9CZNBEL1R0d6KCItSIdISzRUaZJAgFBC7yCIwkeQ3ltCgPTkfn98vpObbHb3dq/t3eX9fDzucXe7M7PfmZ35znc+32a2ZXr/BSKIdmQafwd3v48I6P4125673+buH7dR8kVE5kTbA+PdfWt3vzjd+5YlKjn2BrZz9zvdfX9iTNCVgZ+Uey+/cTP7JTDQ3e93998Ts67PS9wjKFi2om2W8AZxj89blxjzFHcfT5R5diLKSjenZf5HNDJY2N3fSl1HvwAuJCrlijkY+KO7H+HufwW+JMog6jkhIjWlB+kW5O5/q3UaZI5xONEsvltuIPts1qN9iAHqL3T3wdkKlmbWLNGkX8rIBYu+Icbq2pGoPX6fGEtucTM71t1fNLNria4ZmwPXuPsrFjNtzm1mdcDM76oDWpJUeE0B28L9eJU4L6cSXTH+bmaXEt1FfkO0npRmyI65u480s+HAmu5+lZntQgTNb05/PwwMIx5iBhF5AkSwbeM2T7iIyJzrK6Jl1uZEMGlnohzxMjA/cLKZfU3MyL0X8F36e+0y762c235X4Pw0Fu4LRGutXsTwMqR1VjWz5xv5vMYMBoaZ2b9pmETgp6QW58lNwHXAp+7+IoC7f2tmVwOXmdlAYuK1c4ig3ZtEYKzYMdvUzO4gWvafTUym1bOCdIqItBq1QBPpgFKLkZuIQstSAGa2tsWMr5cSgZuh2fIpyNbux9jqAD4FZgAruvtUd78RuBsYANxuZpu6+83EoLq75maXutrdB6cAZkcNnkF0o9jSzBbxmLyisCb4YyJY9oK7H0lMWrEkMejv9u5+R9smt/Mys/mJYOUmAO4+mqihnw8YApzi7g5cDRxuZj9Jy/3X3YfUJtUiInOkW4lJhm4lunBuSnTjNCLYdH36eQP4NbBNGjP18jLvzeTuI4CTiZbxTlSY7J7uARDDTpxDtBKvaJvFuPvtxAQFZxAVZhsDm7v7v3OLjUy/by5Y/SjgfuAW4Hmia+YWaXiBYv4PmIsIMt5JdIG9nWgxJyJSM13q6zvys5zInCuNV/Ea0U3zp8R4Fn9x94NzyxRrJSRF5GbNLXq8spZ+aey5GcQgvTcBqwPnArsCCxKDtP+LmFnzuNRVoVNI46k8Doxx99+VWOY94M/uflH6v07B28rlugvXN3btmtktxEPIPcQYdJOJ829bYDsikPYQMc7MDWlsNBERERERaQIF0EQ6MDPbgxjn6CFi/Iu30+vd1FWzvNSdcmeitVTRIFexAKSZnQScSYzncSsxI+V/zWyZ9PougHlMJd+ppCDjQOAKYj9HuPvkLEhmZrsRgcVt0phoUgEz60OMBXNyfjwyM+vhRWYnzQVz9yTGMxtLtDAY4u5fpNZpBwD7EK0QXmuTHRERERER6cQ0BppIx3YT8B93/yfMDArVK3hWkS2ILg0XpR/MbH9i4N0X3f0xYryvwlqGj4mZqA5x92FpvS7u/o6ZHQwc5LmZTjuT1G3zGmAVYhbSX5jZ9cAEM9sKOIzotjlOrR+rsjgxMPNZwH5m1os4Nxczs7uJQOW32THNjcn3NTEm3wXufnmuFeU3wAXpR0REpCwzO4romlnKCHffva3SIyLSXimAJtKBpQDFP9ODs8Y5a0TqHrexuz/k7qPM7CFgEzN7kxjgfl1ixszBZraBuz+dWzcLCI0mBrH9IttmFtBw92/beJfaXArO/t7MXiMGEB5KDPbbC9jP3e+vYfI6jBTsXhP4hBi8+VzgXDPbkWjdtxQxScVVwIJmdmWR6/ttYoyY2caQUQBTRESqcB0xpmspnbJiUESkWurCKSJzjBRA+wfwsLv/2czWJCZdeA+YRHRP7EMMxLsaMcPh1IJtLErMcHifux/Tlulvb9I4fHXAku7+eq3T05GYWXdicORh7n6+ma1KdH/dmhhnbl93n2JmlwArAX9090ezwFju91vE+awZTkVEREREWpFm4RSROUJqpTcP8CwxK+HfiCnR7ybGQsPdJ7v7Z8QsU8sABxXZ1FdETfWmZicAACAASURBVOxzbZHudm6yu3+n4Fl10hiFU4FLgBPN7BFiJrR7iXNycm7ssz8Trcy2NbM+BcGzuYgZzUYW+RgREREREWlBaoEmIp1aanU2c0ZDMzuBGGtqOrAQ0R3zNqLr5lEpgIaZHQccD6zs7p+n17q5+zQz6+Xuk9p+b6QzMbMjgcHEuHo/Bb4nxi3bBlg267KZxqbZERjs7nfUKLkiIiIiInM0tUATkU7N3Wek1jormdlTwEbEzIVfAH3d/UtiMoblgF/kVr0E+Aw4O7etaem3gmfSZGa2jZn9GrgTOIaYRGBld59IjCn3DTAot8oVxEybe5jZsm2bWhERERERAQXQRKSTM7MeZvYnojXZ08AOwKnAC6TZN919CDGY+9ZmtnJ6bRIxI9W2ZrZgLdIuHV+aLCD//9zApsDVwHh3vxB4DDjTzOYFXiUCvL81s6Vh5rl4MzCBaKUmIiIiIiJtTAE0Eek0CoMVyQ+ATYhxzm5z94nu/gFwPbCKme2alrsaWJoIonUBcPebgSXc/evWT710Ru4+3cz6mFm/9P/3wDBi5s0/pcV+R7SM3NHdJwN3Af8hundm2xnu7ntnXYxFRERERKRtKYAmIh1aFjRLA6tnY0YNMLONzWyxFCw7C+iVfjJPEjNyngjg7vcSQY3tgZWzhbJtilSiRBD3AeBaM5sv/f86MJxo3biGu78NXAWcYmZLEOPx3QpsYGbLt0W6RURERESkPE0iICIdjpn1AW4A9nX3L8ysLrX0WSq9vgIwHugGnEwEyq4HlnP3NXLb2ZBoDfQuMTvnnQDu/nwb7o50EmbW1d1npL8XJLpoTjOzdYlumjsBI9KYfMsRM2z2dPdfpHW+AD4gxjv7E/CSWj+KiIiIiLQPaoEmIh1RN8CAy9P/WU3AMcTA/ysA2xLdMi8HNiRmN1zJzPbIbec54GCgDpjs7s8reCZN5e4zzOzHZjYGGAGMNLP+7v4McCMxpt4P0rL/A+4A1jazbdImfk20VrvQ3R9U8ExEREREpP1QCzQR6TDMrFs2E6aZbQXcA6zv7s+k2QkfAM529+ty6zxADLx+EBFg293d+6b3uqagR526akol0iQAOwHvAx+6+5up+3C9ma1JTADwEPAMMe7ej4FTiNaNXwN/AC5PLdP2Ba4DPnH3H7b93oiIiIiISKUUQBORds3MBgDrAYPdfUru9bmBa4GV3X219P+nwG7ufo+ZzeXuE8xsDaKl2arAN8CbwDXufkRb74t0bGZ2PHACMcD/IsBywFbufn96/8T0f//cOkOAfsA+wG5p/WOAUcAg4A2gCzEG2jR3101ZRERERKQdUhdOEWnvLgH+CNxrZgfnZsj8HjgXWN7Mfpf+vw84Kb0/Ia3/MRE4W8XdPwEGAg+38T5IB2dmxxEBsH2BzYANgHOAbOKKHsBqRECM7DwlWpgtQsyweRHwEnAm8B6wOnCnu1/q7lMVPBMRERERab/UAk1E2jUz2wy4m2hdtjQR/LoSuCt1vzwX2N/dFzKzjYDbgbPc/eK0/k7ETJubaUwpaQoz6wncC9ydnVcllrsI2BxYG5iYm1DgCeA/7n6gmS0ELAvM7e5jWj3xIiIiIiLSIhRAE5F2z8zuACYQMxmuCeyV/j4emEgEze5x9+PN7HDgbOAFopXPjsRsh6cDM9TKR6plZisCdwGHuvsj6bWVgF7AOsTEFaOBeYkuwqek1mZZy7QHgYfc/fQaJF9ERERERFqAAmgi0u6Z2WpEK7Tz3P3yNGvhcURLnqeJbnMnAEu5+8dmti0x5pkB17n74zVKunQSZvY8ETB7BugLLEOcf93SIvcARxPj9Z0P3ALcBmwF7AJs5+6vtnGyRURERESkhSiAJiIdgpldDKxPdNd8JbXs2YkYiH0eYDHgZnffo3aplM7KzIwYi28totXjR8ANRNfi+Yjg2SPufpyZHUScmwun1Q9x96faPtUiIiIiItJSFEATkQ7BzOYjumX+nZiR8+v0+g+IcafOI4Joy7j7ezVLqHRaaabXOmCBwnPMzP4MLOHuu6b/uwJLu/s7bZ9SERERERFpad0aX0REpPbcfbyZXQIcBjwKPJDe+sLdh5vZc8A37v5ZzRIpnVqa6RUzy37Xpbe6AXMDn6fXu6QJBBQ8ExERERHpJNQCTUQ6lDSj4RvAIHf/0My6ZrMdirSm1KpsN2ATIpDbA5hOTGaxI7Cfuz9buxSKiIiIiEhrUQBNRDoUM9uSmFBgD3e/rdbpkTmLmf0IGANMAf5DTCjQDTjQ3R+uYdJERERERKQVKYAmIh2Ome0N3Oju02qdFpnzmNmKwDrAEsD77n5TjZMkIiIiIiKtTAE0ERERERERERGRMrrWOgEiIiIiIiIiIiLtmQJoIiIiIiIiIiIiZSiAJiIiIiIiIiIiUoYCaCIiIiIiIiIiImUogCYiIiIiIiIiIlKGAmgiIiIiIiIiIiJlKIAmIiIiIiIiIiJShgJoItKumFkPMxuY+3+MmZ3VRp+9k5kt1hafJSIiIiIiIh2HAmgi0t7sDpyS+38H4JzW/lAzWxr4OzBPa3+WiIiIiIiIdCzdap0AEZECXfL/uPvXtfhcERERERERkUyX+vr6WqdBRDooM1sGuBT4OfANcIW7n21mfYELgc2AGcDNwDHuPsnM9gX2Bx4ADgemAbcARwEbAY/kPmIZYCjwhLufbGZD0+csCvwK+Ag4292HpvT0BM4FfkO0sH0IONzdPzOzfsA7wE5pmUWAR4H93P1LM8tnhr/NtikiIiIiIiKiLpwi0iQpWPUAMBVYD/gdcJyZ7QM8THSFHADsDGwFDM6tvjawCtAfOIkIpP0CeAo4AvgEWBz4oMhHHwy8DKwO3A9caWYLpvfOTmnZhgjqdQVGmlm+ddkJRIBtW2Ad4Nhcmkjr31LNsRAREREREZHOTV04RaSpNgOWANZ092+A18zsUKAO6Ausm3W/TK+PNLMT07rdgIFpvTfM7DBgLXcfZWbfADPc/dO0buHn/svdz0vvnQQcBvzIzF5If6/r7i+n9/cCvgI2pCEYd7q7P5vevwFYK73+Rfr9pbtPbIHjIyIiIiIiIp2EWqCJSFOtAryVgmAAuPsNRMuxtwrGLnuKCKytkP7/Mr8eMB7oXuHn/i/3eePTn92BZYEewONm9p2ZfUcExXoBKxZbv8rPFRERERERkTmUWqCJSFNNKfH6pCKv1RX8LrZupYP4l1o3y8+y8djyvgAWKLG+Jg8QERERERGRstQCTUSa6k1gOTObL3vBzE4HjgeWz41LBjGu2HTgrQq229SZTf6XPmNhd3/L3d8iAmcXAku34ueKiIiIiIhIJ6cAmog01f3EuGJXm9nKZrYV8HvgSOC/wN/M7CdmNgC4BLjZ3b+qYLvfAfOb2YpmVnErWXf/FrgauMzMNjGzlYBhwE+IYF8lnwuwmpnNU+nnioiIiIiISOenAJqINIm7Twd+DSwIvARcBZzh7rcA2xEtup4BbgVGAPtXuOmHgTeAV4HVqkzWUURg7xbgeaA3sEUlkwKk4N5Q4EZiRlERERERERERALrU16vXkoiIiIiIiIiISClqgSYiIiIiIiIiIlKGAmgiIiIiIiIiIiJlKIAmIiIiIiIiIiJShgJoIiIiIiIiIiIiZSiAJiIiIiIiIiIiUoYCaCIiIiIiIiIiImUogCYiIiIiIiIiIlKGAmgiIiIiIiIiIiJlKIAmIiIiIiIiIiJShgJoIiIiIiIiIiIiZSiAJq3KzLooDSKtR+d3+6PvROZkneX876j70VHTLVIL7e16acv0tLd9F+koutU6AVI7ZjYG+HnupRnA98B/gL8CQ9x9em75d4En3H3PCre/CnC1mf3c3aeVWW4QcBrQ3d2npXR1c/cNq9mfEtveADgV+EX6fwDwCLC5uz/Y3O23BDP7EXA98GNgPNDP3Se00LYHkTu2JZbpB7wDHODu16TXdgbOBX5IHK9nGttOke3uS+zXCu7+Vpnl3qWK86qlmVk98Ed3P7kWn98cZnYScd3+qdZp6YyqzYvMrC9wJXAE8L9WTJq0gSL3SIApwMfAKOBkd/86t2yL3Lc6ksL8szBPMrOhwGbu3rdmiWyCwrJDC297EFXeT6vYdquluylac1+bqtZljjlBeyxrF9Pe8qtKnpta6poq/KxizwItzcz2BI4EVgTGAg8CJ7j7Z7llFgUuALYCehHn0ZHuXrRMZWa/BEZS5HiY2XbAKYABnwHDgbPdfXLBclsDV7v7D82sDjgUOBBYBvgU+Adwmrt/m1tnOWAwDWWEkcDR7v55iXQemva1b8HrXYGDgIOBZYH3gcvd/bJi28mtNxTYp9wy7t6lzLLTiGPyCHCSu7+flh1EO8uz2yO1QJN/Af3TzybA3sA/gUuBGwtqJ3YCzqhi27sA61ew3HVA/1a6UA8AVs39/zKxr8+3wmc11enEzWQPYOeWCp4lTT22VxE3t22APzRjO9K6zgLmrnUiOrHDiUJNpTYjrhnV6nYe+Xtkf6JQfzmwHzBSNfj0B/6S+7+z5EmFZYeW1JZlHhEprTC/+iOwfY3SApU9N7VU/lHpM1qLMLOBwN+AZ9NnnwFsDjxtZvOkZeqA+4CNgaOIINaKwCNmNl+RbQ4AbirxeVsAdwBvAzsTlZvHAxcXWXxrolIM4py4gAia7QBcAuwLPJCCXZjZ/ETgadmUxqPTvoxK+1CYll2Bi0ocmouIMsUzKZ2XA4PMbHCJ5fO+YNbySeFPuWW3SPu6NXF8e1fweZKoBZqMd/cnCl67y8zeAP4M3A3cAODuL7RGAlLU+/3W2HaRz/oGKNzfWlsQeM3d72jpDTfj2C4IXOXuo3Ovtcl3JNJeuPu/ap0Gqbli98iHU2HzDGAdouA7RypybKQRbVnmEZHKufubtU5DYzpw/nEycKu7H5K9YGb/Bp4iAmrXEQGknwFruPtLaZnHgLeIVlrnpdfmJYJhxxM9d4r5HfABsFvqTTXKzBYBjjKz/ytohbYVcIyZzUUEw/7s7iel9+43s8+BG4EBwMNExeqiwLru/nFK0yvAC8COwK3ptUWAM4GBwNeFCTSzhYnWbte7+wG5198F/mFmV7v7GyX2D2BKFffgYss+YmbfE73Ofg3cXOG25ngKoEkplwDHEhnWDTB7s/fUze8EYCVgIjAGON7d3ypoLjrVzH6b3n8H+D+ilnQ5onXTghRpLmpmJ6Rl5wUeAo7KugKW6h5oZk8A09x9QL77TepmsnFabJZm5Wa2BhGFXwvoATwO/CF7eM41RR8AHJd+TwL+ntJUssWYmS2etr05sAjwb+Asd78rly5yf5/u7oOKbGco0JfIwE8kula+DPwWWJrobrkS8CbR1PmhtN6gwmNrZvsR320/4FVyrQpz+wpwopmdmI7bgCLb2ZZoGv1j4Fvg9nTcvilzPDYAzgFWJ5pFH1dkma7EDexAYCngQ6LmaLC71+eOx5LAa0TN0FfAKkRt2pnAT4hm+c8AJ7r7i6XSlMxtZlcQN/FewGPAYe7+di5dmxFdY1YDpgMPEOf7e+n9fYFriJqdi9JyHwDHpHReBmyU0jrY3S/ObXsB4Gyi5rNPWv5Ud7+3xHHsR1xLACeZ2Z7u3q+SdJbYXl1K517EdTkDeAU4xd0fMrNfA3cBa7v782mdHYjv/Bh3H5xeW5T4Xvdw95vN7CfAoHRM+gCfEzWCx7v7BDM7n2jltbi7j82l52CilnAJd/+ySHp7p33ciThHJhO1mse5+8tpmV7EdbE98APiu7gBODN3DpfMw9L7Y8h1yzOzTShxfuWuNYA3zazotSydRlahtDRFAmiNnaNmtipxnR/q7lfk1usDfEKch5eYWU+ilfIexHn8FnCeuw/LrTOGeKDqBvwK+Je7r9fY+V2Q3gWJ6/MEdz8/vbYQUWt9j7tvm1v238Dj7n5Q1oWTyPuK5klpnT2I+8WyRIuAM939xlIHt6n3vLRu2Xt6WuYQ4DCii843RKuH4939s2JlB3cf01JpLLwvp897iygfHA4sQQyl8Qd3fyCtsy9NKPO4+5hK7i9m9lPi4TQ7Zi8BZxRUohXu/7tE648eaZ8B7gX+z92/KrPe/kTZcmWiJ4wDf3L3W8ysG3EuP+HuuxSs9yzwkbvvkP7/LdFKZUXiPP0b0c1qSm6dRsscJdK4EXASsDbRQukj4iHzjPQwjpl1J773vYjv/j3gYne/Mr0/lOLlFIj77Z5EOexD4Frius62vQzRPaw/MA/wOnC+u9+U3u9C5C97pc/4HLiTuH6/L7NffYnzckugN9Eb43h3fya3zMJEnrMNsDjwHfAo0T0tXybaggiKrJ6WGUXkb1/kPnJ5MzuCKEdOJMrNRzdSbv4B0aXyl8Sxf5XoYvZIer+OKB8eDCyfjuvNxDk9MS0zlLg2r09pXJbIn8509xtKlaGsoAtnOseHAt2J73BBIu8/Il+utOgOeS5x/XUl8tqj3d3T+9nn7UgEibYmWqrfCxzu7l8Ue25y96FFjs8gqsw/imxjts9KaQZY1MxuTMefXBq/zK1fVfk/BabuTj95/06/l0i/twTeyYJnAO7+UcrntiEF0Ijg2IFE8GkJGspeeb2B7zw3FBGRT3QD5ieuGcxsZeIaehBYgDhnbq0gnU9lwbOUzhfN7K2Uzmz9k9KyOxABqs0Ktrsicb6MKHj9kfT6lkC5AFpLyJdlmqyxPCst0yL5TyqbXEi0oluAKFNc5e6X5LZT9vk7LVNP5CM/IZ7/5iKug8O9RJfhjLpwSlHuPoPITNZJBZpZmNmGxA3rfqLAfjhxE7033dj/SGRCEMGXfCDgPKKL4N4Fr+etQ3SROZKI3K8GPJQeiit1OHFDz5qtvlxkPzYGniaCJgPTz1LAU+mGmHcrEVTYnmhiO5DIHItKhYDngU2JIMKuRMHwTjPLblz9iS6zWTeh68rsz1pEoesEYH+iIDYSGEJ0ud2TKMjeYmZFu9BYNKG+lnig2JE4PrfkFsm6uEIUFksdt12I5s3vE5nOaen3qGLnS1rnJ0QgdAbwG6JQezlR8My7lCg83U4c65uJDPfcguX6E+fcLumY/DAdjzfSvv2WqCEabVFbVc7hRAa7JxG825Bcs3CLcRtGE+fSXsT3sD7R9Hyx3Ha6EgXEocQNcwIx5sJ9wJMprf8ELjKzddO2e6bjsjOR2e9M3AxGpEJKMZ8w6/e0U5XpLPQn4hy9jrhpHQQsDNxm0bR+NBE03jy3TlYQ2Dj32pZE0O6+dPN6nHhgOyBt9zbiofWotPw1QE9gt4L07AuMKBY8S4YRhacLiILosURB7hZr6FJ3CXEenJKWGZ7+Ph4qysNmYTHeRbnz6zriIZW0P+WuZen4LP0uNb5j2XPU3f9NBN4KxyXZnchHbkj/306cm1cS+eFjwNAUAMrbjbiP7QCcXe357TGW29PMeo1vSjzkbZQeWjGzpYh7T2GBv2ielCxGBJ7/lNL3NfC3FEQsp+p7XiX39BTMu4jIp7chHrC3JfIIqKDs0Jw0lrADkWefQJQVugF3pIBqpWZLdyX3F4uuUaOJAMeexH1qCnBPeigqZyBRxjuACCb9kmixUfT5Ip23fyHKfr8mzv+pwA1mtnSq3BgG/Cq/7+khd21SudLMjiXy2KeI6+ISosJ1eG6dSsschWlcLa03Pq23PXFOnUpcn5lhaZ9vALYjKpmuMLODcssUllMmE9fOCcR1sj1xjZ8JXJ0+v2s6PosSx3U7Ip+5MV3XpPWPIh5Yt06/D6B0N7HsofMpYAPinP0NMQ7SIynonAXm7knbPIVomXMWcb//S25bWxLn2vfEeXss8TBbGCC5iCjzbJf27yCKBzuy7c5F9BLZKi23ExEgG5WCvNBwbY0i7sVXEuWKEQV52xrEg3hWkfYZke+sSPn8qtDvgXWBQ4j7fj/i2szyxOWJ47oUkefvT5xjT5rZkgXbuoYYHmXXtH/b0/CdlXtuaky1+Ue5zzqDqFTI8oydiOsGaFr5390nuPuh7n5/wVu/Tr+zyo2ViYB6obfSe5kRxHjRfymybOYyYEUzO9bM+qQy9xHAfT7rOGVbExVC37r7R+4+sEile1PTeRVR6XFniTRmZdx+Ba8vl34vW2K9mcysW4mfSmM8jZVlGt9ABXlWS+Y/xPPZmsT3uQ3RKvBiM/tN2k4lz9+Zs4GFiHvR4cB6RJ5QllqgSTmfErUuCxE3nrwNiODAoKwZrJm9T5z087j7m+l/gCe9YYBKgH+4ez4zLvbZM4hWYu+mZf5N1IjuB1xRbIVC7v4vi2a3M5utFvmsc4haoc1zrVLuIy78s4ibUmaYu5+Y/n4gFdR/Rekg2lFEZrJKrsb4bjN7GDjfzG5w9yfM7BuilUtjzXDnI8Y9eDWlcyPiZr21u49Kr3UlAn0rAbPcAFLGdBpwt7sfmF6+18ymEYW3mV1c03H6oNhxS9u5ABjj7jvlXn+VKPjsTPExCU4AxgFb5moJXyeCLNk2ViBqAwa5e9Yy7l6LJsZnmNml7v5Ber07cKC7v57W3ZWo0TjFG5pUv04UeOYnaslKeQXYJdfCbVnguBQY+R44H3jE3XfMpfUxopbvOBoCQl2IWuSsBnp+onXCHe5+VnrtOaLmawPiAXovosn6AHd/NG1nhJndn45z4YMq6ZrLf08vpO++0nQWWoqovb0wt94EIuD103SejiEerrMg0aZEzVV/M6tLtXxbEQWRcWa2DlHjs4O7j0vr3G/RimsAURPkFjWLexOF4Kwmd21KjLdoZj2IGqf/c/fsYemhFOi7gCi4fkgUju/NtdR5yMzGEw+X0Egexuzny5qUOb/c/X0zy7p/vOhpQFbp+AoeChYkWpKeTBQGXyqyfKXn6DXANWZmWUsF4ny6292/smhN+ktgH3fPCnT3pge3P5rZ9VleSuQ9+7r7+JSG46nu/IYI/Awys17uPomGa3xNIo96gbjGJxABhpmK5Um5t+uA7XP3rreJPGkTGmr2i2nKPa+Se3p/Ioh0fi7P/xxYPQU3Zys7tHAai+lNtHzJJqX4jqjE3JQIsDSqRJlnfxq/v6xMVJic6+5PpfWeI+7ZczXysV2ATbM8Pn3+7cR5O9u9C1iBaKV1avaCmf2PdC8hWnFdS1R07EoESyCui0+Jh/T5iIei6919YHr/XjP7kAjErefuT1NBmaOEnxItHrKuX5jZKOLaGQAMTwG93YnWE1mrmPstKqo2Jx6cYfZyylbEw2D+mh6V7reDzOwiory9EvAbb+it8DDRCi7rtdAfeDYraxD5yzdEj41SjiRasf7IU1dFMxtJBLjOJiaeWJwI8v3O3R/ObXsZZh0P9HSihckvU4U7ZvYlcHkKUGWu8IYJmkan+39hK5y8fYhWZeu6+7Npuw8R183mZjaFaH10Wq6MOMrMPiIC4tvSEMTrA2zg7v9J23EiH9jWo9V8qfyq0ATiHJqatjM3kXf/NKVrEBEI2Dh3/Y5Kn3UyEWTOPOgNXRjvM7PViWADxZ6byqSpUFX5RyPPaHe7e/ZdP2Bma5K+s2aU/2djEXgcTFRQjEwvz09Dy8C88URem6W/kkmaRhPB0/NoaLn2MrMGwSGu63vKpHNdIi+5291fyaWzWGu78eSCXl6++yXu/t9UBj41fR8PpvX/QlRiNDae6A+JCohiBhOBqvy+5Msy8xEVQBcS98NqAraFFqHxPKsl85/+RGvSrAHIg2Y2lobvpJLn7+z6esvdd802nK6Dk81sIS/TkloBNKlEfZHXHiFqMF41s1uJWu5nKihsQkMEv5xnsuAZgEeXl7eJTLyiAFpj0k1wLWJGlpk3Kncfa2YjiOBYXuG+fUD5mswBwHM+e3eZvxI1P6sQTdMr9W1WSE8+Sb+fyr2W1WYsUGT9FYnMqbAm5EZSAK1CKxLNnc8vyIyfTWnaguI30AFEzU/2wEcKzHyQW2YTokB+V8G27yTOt02IWl+Im0u+BuhpItj1rJndQpyTj7t7JV02HssepJLs5rwA0Q1gMaI2ZCaPrspPpf3Ky58nlXxHm6bXniyyz1da1MqX7H6ZY1WmM7/MbgAW3bhWTD9ZjVvP9HskcKFFDfFCaZntUzpXN7OXiO8+C8beTzxQ1KUC9QpES9JFiIeazLXA9Wa2orv/l3hQ+oRotVcsrVNIrWQsaplWTPuedTfI0jsaONzMliAKR/fnA4RUn4c15/ySjmsDZi+gziDOrwMK8g2gqnP0FqL1wd5EN6JViXvSoPT+pun33UXyhgOIQHMWFHkvC54lTblHjyQCUBsQAbLNiAePpYiWpi8QDxujU4CtUuMK7l35/LWcqu55VdzTRxMtYV4ws9uJYzPC3Qtbz1SiufflzOvZw2+S3RebOyFDo/cXoovhp0RgLWu1+Ii7l6pwyRuRqyCBaIU1jejKVqzy50iAVDllxH0hO897pmXeShU/ewNDUsB4L+Bv6UF/PSKwV1hOGEFcm1sQ+fUAGi9zzCZVugwzsx4WEZYViFZk3Wi4djdKv28rWHffgs0VllMGpDQWjjU0jLjuBxCtq14lZkjcjPg+HsyOXTIaGGxmjxLH/AF3v57yNiXK3+/kjls9cdyONLMeqXJoI5jZ3WoFGobHqEvfRQ/iOjsrC56lfR9FCh6k+y405E+Z/xGtuUrZiAhoPZvb7lSiixUWwztAlFvzbiDKEgNoCKCNzYJnSVOvqeey4FmJ7WxKdPsanzuu3xPBkC0KtlXsOaIlJl1pyfyj2He2c/q7qeX/WZjZj4gy3lRgR2/oZtmV4s+clHm9lCuJYOvZxPXSj7jG7jezTdz9+5QP9Se6ghZL5wDi+nqbhm7qLZ3OnYiKgiwvGU9UIJxMBG/L+ZyGckWhTwv+LxVse4YI8k8s8l6lPqfxPKtF8p90rowGTrdoZXwfkf/ln30GUPnzd7FrEuLaKRlAUxdOKeeHRJP+2U4gd3+OKFw7Eel9HPjUzE6zxmclc9Kz9AAAIABJREFUK7yoK13mcxovcFejDxGsKfZZnxI1DHmFGdkMyl9DC5bZdvb51SjVgio/3kW5jHuh9PuLgtc/LlywEQun35cQmXH+Z3FKBxWz8XQK5T8/2/YrBdvNCkH5bX9RUHh7n+h6+QRx03wA+MLMLrVoEVJO4Zgh2Xa7Et8jlP4uC7/HYt/TzO0XeeBeOP0UHsusZrlsd5OcatM5k5mtnoJsXxFNoQ+l4VzKrucRRMF5I+La/5hoxv8ZcbNaJ6VhRNpmVzM7i+iu5Wl/fkbkKfk84laiwLB3uqnuCfzVZx23ojC9m5nZv9J+jSQetLIBYbNtH03UvvUluh/8z8xeNrP+UH0e1szzSzquV4iHxbWIllg/IlocbukNrWFnU8k56u7fEUG0vdI591viusq6uWT54VhmzRuymuJ83jDLdd+Ue7RHt9J3iJYe/YiH4YeJB6oB6TzfhOIti8opl7+WU+09r6J7useEPTsQx/U0IjD4gc3a9a5Szb0vZ4qVL6D55fRG7y8eY2ZtQIxPuRORr39hZjdYtKIu56P8P+me/CUlympmtoxFi8BviGENjifuKzDrfeEaYP3USmUronIo6xafXRf/KNin8cTxyq6LSsocxdLYy8yuSml8jWjJsUz6jCyNWRoKe2cUmqWcQtwjx3punLZkZrkwlRE2J1qhbEoE2z4zs5HpoRJikq/9iRZu5wOvmdmbFmOTlrIw0a2x8FzIvoOF0/7vbmbvEA+StxEtpLLzs0vahy4V7DsUv/bLndMLN7LdouWcFDD/klnLOS11TTW2nYWJrqSFx3U3Zi+/FdtWS8zk3JL5R7HvrPC8r7b8P5NFK8wnieDyAHfPtzgbR66lWc58FG/xVeozfki0BB7s7ie5+xiP8eS2IiqesgH7Nwc+LNZSzGLcyfuJAOImBQHKFkkngLt/5u7bEXnmj4hWWtcQx3O2iQcKTHX3F0r8fFiw7Oc0lGXWIoLSC7r7et7MCbMqzLNaKv+BGBP2T8QzxfXAh2b2WArMQnXP3026dtQCTYpKtUw/J5r2Fn2Q9RhUd0wqVG9IjA8wiOiScVuxdaqwYJHXFgOeS39nBdLC6YLno/EMJzMubafY2FBLUCbyXKGvy2wbGmqlK1VtrUahrCBZmKaFCxdsRFbb/AcKuvEkpR4ovijy2dnnZ7UE2bY3Z9ZWSpmyBV93/yewezp/1ya6AxxGdAu5oNy6ZWTnU6nvsvB7rPZ7GkfUbu1a4v1i4ywUU206gZnj3zxA1MasAri7zzCzrYlCYSQiuii+RsOAnI+4e71F184BxLX3eq5p/R+IG+P+wF2eBpe16BpEbrsTUquHXYlWM4vRMDZHsfQuRzzA30W0knsnpeMQYgy2bLtTiQefwRaTG2RjKvzDzBZz9ynV5mGtdH5J+/adVzkDdaXnaHItEZDdgBhHZljunjuOCDhvRHHFurrM1MR79D3ENf5fYsD2Ny26PZxHXOdzU6a7SwtrSl5a0T3dY0yaO1OL2k2IIOOVZvZCld93c+/L1X5OtWWeiu4vHoMzH2BmBxIthXclxrUaS+RxpcxSfkh548KkAboL3utKjFs1hXiAeyW1KFuFaGGWdzvREmtXomvQ07mH3KxssDfRjbBQdq+rpMxRzCXpc3cFHkoBxqx7aiZLwyLkAg7p2u9L6W6iXxOtJXsUBNFmKRd6jNF0JNEyw4jW3qcQXUO3SQ+s1wLXWoxztQXRzewWM1vK3T9hduOICqAji7wH8KXFeEXD0zG4wN0/Svt1HpGHQAQI6tO+z5S++y2JsYeaahzR6mQWZrY2UQGRL+fkJ9PoTnyv1ZarW8I4ouxyXmMLdgJNLf8DYGYHEMH7fxLdfwuDpU5UxhZageLXeilLEcGWJ2fZuPvrZvYVkI2/WbT7ppmdTox5eB+wc6rsKkznbOdpeq2qmanNbDfgjVS+zLrCr0kEcGYbIqIZplZblqlGY3kWLZf/ZJWPpxJdX5ciWpefSgTufkTLP3/PRi3QpJSBRCHgymJvmtkFZva8xXghUzz6Kme1t/3S75ItSCqwvsWAg9nnrZu2m80QmXVVWSq3zGJEQSuvZBpSoegFYOd8U+RUGNmGKjPBIh4F1k4Fqrw9iYJdpYGRFuHR5/xdZh+wfbsqN/UGUUO4XL62g3iYO48YgLGY0cDWKWADzBzkNz9IZtZ0fNGCbc9DjGWwBCWY2RFm9p7F+D3TPcZAOZiYwaVflfuY56SZJQs+bzmiK0Jzz5MxxLX2VcE+b0S0jphRZt38e01N50pETf3l7v56rrZ86/Q7f58YSbRq2ZBomUL63Z9Zxx4hLfOGuw/LBc/6EgOpF957riHGPTmZmNmo3LWxBjFA+AXu/nauRd/M9JpZbzP7r8VA07j756n28Uqilm++CvOwmSo8v5qT50nn0eg5mi2YzqN/E12flyTG8cmMIca26VGQN6xAdM8s2T2n2vM7ZyQxts+vmfUan5coDD/n7uVakZfLr1pVpfd0M7vFzO5K60xw95E0zM7YL/1ub9dyU8s8Y2jk/mJmO5nZF2a2uLvXu/s/3f0E4l7fr5F0bWWzTu60PVE5X+zhemGi2+Ywd3/RG7rZFrsuJhLd9HZJ7+crVZ4hgilLFuzTeKLSJJsAqpIyRzEbEsM63J0Lnq1JBIyyNGYBssIWX6cTY7OVug4eTdsoLIftmX4/YWbrmdlnKWiEh3OI8m+/lJ6nzOzS9P44d7+VyBO6UboV0Bji+L9VcNx2JR5qpxJdpboS3TOzh9duNHRF7JoeXv8JbFfQmnVjIv/ID6JerceBpS3GBiN9fnfiwfgIGsqIexSstzsRXK62PNYS+dUYIiDzSsFx/T2zp7MxbZnvNOWzmlr+zwJFQ4hWXRsVCZ5BBKxWsIYJI7LWZBtQYliPEt4i9u/nBWlYmSjvZrPJbkXB2F8W44eeSgSotykSPMvSuaHlJueyGAh/uSrTCTGO9ikFrx1JBKrHVLmtmqgkz6KF8h8zW9rMPrCYzAJ3f9/dLyN6s2Sf1erP32qBJvNZw6w+XYkCzhZE89bhHl0dinmQqLG9ycz+mtY9hKgtzx6is5qK3c3skdk30ahRFl3AFiL6sP+HhvGvHiJq/Qab2SnEuBQnMnurpXHAwma2DVHoKnQCkZmPToWRHkTNSi8axqFpqguJWtWHzOwM4qLdmyhkHFCqZV8rO46oobyRGDNiVSqc1j3j7tPN7ASi5hOiG8XcxHFbnhJjCRCDwm9PHI9z0jpnELM7Ztt+LZ1PQywG8n+WuCGdSdy0yzUzfpgYv2eEmV1GFLD3IMZK+Xs1+5iXWmOdQIzTdRvRh35B4uFjHM1veTSUOGYPpuPyDtHS4w/AUC8zJX36/HXNbEOPsV2aks43iBv1iRYTSkwluvFkM9XkH9JHpnRBQzA7e7hejVm/+2eBLc3sZGI8muXTuj0Ltom7P28xCO0AosVaOS8RY+ycY2YXpu3tS8ND2NzuPtHMXgROM7MZRGG/H9Gt82F3/9LMKsnD8io5v7L8Z3szu8MrG+hWOp9Gz9GC5a8l7hdPeIwDmBlFFDrvNLOziUDbz4h701NefqKKas/vzCNEl4ZfEZP2ZAMdf0gEFk4usy4U5EmNLNsaKrmnPwxcld4fSXwfxxG10lngZ5ayg5eeEbitNLXMM5RG7i9m9iRxfoxINf1jiZZEqzL77NeFFicG8L+ICAD/kRj75sHCBd39czN7FzgknU9jiYGjD0+LFF4X1xDn7ARys4V7TLBxLjHofp90bH5A3Ot6E0FUqKDMUcKzwG5mdhjR6mU14ryqz9Lo7q+a2d+JyTyyz9yYmFnut0W3GkYR19iVKTDwMvGQfyxwY9puL+K7vsHMziRa3q+TjlU2cP6jwLFm9jURdFo07b8T97tisjLpI2Y2mGgluB1REXSKRyvZrIX4ZWZ2HVHhdChpDLK0/1OIAMPdRN50LVFOP5O4th6ndKvZxlxPBJ7+YWanEZWCA9P+XeDu/zGzYUTLk7mI/HG1lJ7HqL51bEvkV6cT19oDZnY58d3tR5SjCltWVpIeSM9NPns3vJZU9TNaU8v/ZrYA0RLpC6L78eo266Ru76f72a1pW/ea2UnE/WoQca4WbdBRIp1fpDzpiFQGHA0sTQSqPiCeMX5GnN8z991iIrOziHLxMGC9gnS+mQJ/VxAtcx+xaK3Wm3hOfYnqnzcuIiYTOp0IAO9ClC0Pziqfy+iRe4Yv5jWfdYzKavw+Hbu8yd4wcUneyzSeZ7VI/uPu71mMY3mpxbjNbxKVJvvQcJ9o9edvtUCTHxM3u8eJTORyIkK8d/opyt3vI6LGyxE1QzcRBdTNcg8ANxOFimtoqF2r1Egiin8dcHFK2yapVhKPwZK3Ix72byX6Qg9h9geDIUT3qtuYfTBP3D0bKLkr0Wz0KmKq23V81oGBq5Zq6dcnCmMXEBf2ksSshNc0Z9vNSNPficFAVyW6SOxF9d8NHoPV7ky0VLiduLF9QoxnULSZtUcXkf7ETXsYcbMZzOwTKexHfJ/7EIWhU4gBjzf1NJtcie2/Sgym2YN4aLiDGPB0O2+YfaxJUuulnYggzK3EmCNPAWt5mpGxGdv+nihsPkQUQEfSMDV4Y2PyDCK6wtxt0SWk6nTmrqUZxHV8PVGDvRFRo98/t/jTxEPme57GrfAYpPP99PrTuWXPIQoZh5IGCSWCeqcCK1uuhWkygrgB31puh9Pn7U48uN1B5FkziIfC+lx69yeu/8OIGsYziS51O6XtVJKH5T+3kvPrIeLh/SwKZj+SOUcV52gmG1PsuvyLqRXLL4nr5mgiPzyUyG+3byQNVZ3fufWmEA8bkHuwoKE1WmPjnw0ilyc1smyLq+Se7u5DiOM4gPh+riMK8z9397FpU2XLDm2tqWWeSu4vHt39NieOweXEd7wZsJ+7/62RpP2dCNgMJ+7VQ2mYgKaY7YgH2GuIFmZrpeX/Q8F14e4vE2Os3eazTpCBu59GBN62SsfgfKLrYH+PrkTVlDkKHU2cF4OIe8a+RGBwCBFsyRof7Ek8qA0kAgm/BPZK9+GiPFqjbkNcw4ek9XYgWqHsnZaZRHwfLxOteu5J751E3FsgAtmDiHxmBFFOfoG4vovO3pi+5/WIINvFad/6A4d4miXco9v3ocQQBSOI4/ouDflNNoboyLS/ixHnwB+J72HHMq3vGuXu3xLn66Pps28huilv4jFGI6RZOIky6N3EA/ilxEyZ1T4YD6KZ+ZW7v0ZULnxP5CV/J4I1u3jDLMyVas5zU7Wa9FlNKf8T5/P8RCB0NA3PndnPgWnbU4mgyxNEYOkq4nzdpIJgUqFjiWt5WyLfOzl99loe45ltTQxFkg+oZy1oVyICsoXp3DalcywRjHmXqAA7n6i02qrac9Ddr6WhteI/iLFW93D3q8quGBYpksb8T7kJOxozmAh25n/+VGIfGs2zWjL/Ie4jI4jv9F7ie74srdsmz99d6uvbavgGERGR4lKLsZfc/YBGFxbpRMzs90RwY4lGWpyKtBupNdkT7t4qD/qpu+UrwIbu/mRjy4uIiLQFdeEUEZGaMLN5iJqj1Ykm2q1d4yrSbpjZ3kRr4EOBixU8EwEzG0C0DtyT6Kqs4JmIiLQbCqCJiEitTCTGW+wJDCzT/F+kM/oxETwbSbRAE5EY9+YYYhyiaseQEhERaVXqwikiIiIiIiIiIlKGJhEQEREREREREREpQwE0ERERERERERGRMjr9GGgzZsyonz695bup1tV1oTW2K9XR99A+6HtoH/Q9tA/6Hkrr3r3uS2LqdemkWqvcJSIiItVRuavldfoA2vTp9YwbN6HFt9unz1ytsl2pjr6H9kHfQ/ug76F90PdQ2iKLzPterdMgrau1yl0iIiJSHZW7Wp66cIqIiIiIiIiIiJShAJqIiIiIiIiIiEgZCqCJiIiIiIiIiIiUoQCaiIiIiIiIiIhIGQqgiYiIiIiIiIiIlKEAmoiIiIiIiIiISBkKoImIiIiIiIiIiJTRrdYJKMbMegIvAke4+4PptQWBIcAvgK+B09x9WO1SKSIiIiIiIiIic4J21wLNzHoBNwGrFrw1FFgI2AA4AxhiZuu3bepERERERERERGRO065aoJnZKsCNQJeC15cDtgVWcPe3gH+l4NkhwFNtnlAREREREREREZljtLcWaP2BB4D1Cl5fB/gkBc8yTxRZTkSkKnV1XZlaV8fErvG7rq69ZYsiIiIiIiJSa+2qBZq7D8n+NrP8W4sDHxcs/hnQtw2SJSKdVF1dVz6ZOI2Bw1/kw7ET6btAb4bsuQaL9+7G9Okzap08ERERERERaSc6SlOLuYDJBa9NBnqYWZciy4uINGoSXWYGzwA+HDuRgcNfZBLKVkRERERERKRBu2qBVsYkoGfBaz2Bie5eX27Furou9OkzV4snqK6ua6tsV6qj76F96Kjfw2ffTZ4ZPMt8OHYiM7rQIfeno34PnY2+B5HS5pmvF717dq91Mmpm4uSpfDd+UrO2seD83anr0auFUtTxTJ8yia+/mdqsbcwzf3d6z8HHcOKUSXzXzGMoUmvzz9uDHr0KQwRzlimTJvPNt1NqnYw5SkcJoH0ELFbw2mLAJ42tOH16PePGTWjxBPXpM1erbFeqo++hfeio30PXujr6LtB7liBa3wV607WeDrk/HfV76Gz0PZS2yCLz1joJUmO9e3ZnjWP/Wutk1MyL5+/NdzQvgFbXoxfvn/HjFkpRx7PUqf8Cmhf86d2jFxtcukHLJKgDevLwJ/mumcdQpNZ69OrJH/fcqdbJqKmTht8GCqC1qY7ShfMZ4Idm1i/32obpdRGRJulFPUP2XIO+C/QGmDkGWi/KNmwVERERERGROUyHaIHm7m+b2f3AX83sMGAN4DfAxrVNmYh0ZNOnz2Dx3t249YB1mVZfT7cuXehFvSYQEBERERERkVl0iABasjdwDfAs8Cmwv7s/XdskiUhHN336DLoD2Yg802uZGBEREREREWmX2m0Azd27FPz/OfCrGiVHRERERERERETmUB1lDDQREREREREREZGaUABNRERERERERESkDAXQREREREREREREylAATUREREREREREpAwF0ERERERERERERMpot7NwioiIiIiISPuzwDzd6da7V62TUTPTJk5i7HdTa50MEWljCqCJiIiIiIhIxbr17sWjG/281smomZ8/9igogCYyx1EXThERERERERERkTLUAk1ERESkAzOznsCLwBHu/mB6bT7gEmB7YCJwNXCqu9en91cDrgJWA14HDnL353Pb3AU4G1gCGA0c4O6ft9lOiYiIiLQzaoEmIiIi0kGZWS/gJmDVgrf+CvwY+DmwL3Ao8Lu0ztzAKOAZYA3gceAeM5s3vb8WMAw4C1gXmC9tT0RERGSOpQCaiIiISAdkZqsQQbDliry+LbCHu//T3e8DLgTWSYvsCkwFjnb314EjgW/S6wCHA7e7+1B3fxXYG/iFmS3f2vskIiIi0l4pgCYiIiLSMfUHHgDWK3h9E+A1d/fsBXc/y90PSP+uCzzp7jPSe/XAk7ntrAs8llv3A+C9Ip8jIiIiMsfQGGgiIiIiHZC7D8n+NrP8W8sB75jZEcBh6bVrgHNTsGxxwJnVZ8BP09+LAx8Xeb9vy6RcREREpONRAE1ERESkc5kXGECU83YH+hETBkwCLgLmAiYXrDMZ6Jn+buz9kurqutCnz1xNTPacQcen+XQMm0/HsPl0DKU90HnYthRAExEREelcpgE9gN3d/VvgeTNbGjiYCKBNYvZgWE9gQvq7sfdLmj69nnHjSi+2yCLzVpL+Tq3c8amEjqGOYUvQMWy+5h5DaR6dg0H33LalMdBEREREOpePgY9S8CzjwFLp74+AxQrWWQz4pML3RUREROY4CqCJiIiIdC5PA0ub2UK511YB3k1/PwOsb2ZdANLv9dPr2fsbZiua2ZJE8C17X0RERGSOoy6cIiIiIp3Lw8C/gOFmdgywDHAcMCi9fxtwDnCpmV0BHADMB9yc3r8SeNTMniSCZhcDo9z9zTbbAxEREZF2Ri3QRERERDoRd58ObANMBJ4DrgYGA5el98cDvyRanb0EbABsnXX5dPeniaDayURrtm+Afdp2L0RERETaF7VAkw6prq4rk+jCZ99NpmtdHb2oZ/r0GbVOloiISE24e5eC/z8Bdiiz/PPA6mXeHwYMa7EEioiIiHRwCqBJh1NX15VPJk5j4PAX+XDsRPou0Jshe67B4r27KYgmIiIiIiIiIi1OXTilw5lEl5nBM4APx05k4PAXmUSXRtYUEREREREREameAmjS4Uyrr58ZPMt8OHYi0+rra5QiEREREREREenMFECTDqdbly70XaD3LK/1XaA33bqoBZqIiIiIiIiItDwF0KTD6UU9Q/ZcY2YQLRsDrRdqgSYiIiIiIiIiLU+TCEiHM336DBbv3Y1bD1iXGV2gaz2ahVNEREREREREWo0CaNIhTZ8+g+5Anz5zMW7cBKbXOkEiIiIiIiIVmn++3vToOec+jk+ZPI1vxk9sfEGRdmTOvWJFREREREREaqBHz25cdvSIWiejZg4bvG2tkyBSNY2BJiIiIiIiIiIiUoYCaCIiIiIiIiIiImUogCYiIiIiIiIiIlKGAmgiIiIiIiIiIiJlKIAmIiIiIiIiIiJShgJoIiIiIiIiIiIiZSiAJiIiIiIiIiIiUoYCaCIiIiIiIiIiImUogCYiIiIiIiIiIlKGAmgiIiIiIiIiIiJlKIAmIiIiIiIiIiJShgJoIiIiIiIiIiIiZSiAJiIiIiIiIiIiUoYCaCIiIiIiIiIiImUogCYiIiIiIiIiIlJGt1onQERERESazsx6Ai8CR7j7g0XefwD42N33zb22MXAxsDzwHLC/u7+Ve/9w4HhgfuA24DB3/74190NERESkPVMLNBEREZEOysx6ATcBq5Z4fz9g84LXlgTuBoYDawKfAv8ws67p/R2As4BDgI2BtYDBrbQLIiIiIh2CAmgiIiIiHZCZrQI8AyxX4v3FgbOB5wveOgB4xd3Pc/f/APsBSwKbpPePAC5197vd/QXgIGBfM5unFXZDREREpEPoMAE0M1vAzIab2ddm9pGZnWNmdbVOl4iIiEiN9AceANYr8f6VwOXAfwteXxd4LPvH3ScALwHrpbLVWvn3iSBdN+BnLZNsERERkY6nI42BdgWwOLARsAhwI/AVcH4tEyUiIiJSC+4+JPvbzGZ5z8x2JVqm7QxcX7Dq4sDHBa99BvQF+gC98u+7+zQz+yq9LyIiIjJH6jAt0ICtgYvc/TV3f4QIoG3SyDoi0oq696hjSrc6Ph4/iSnd6ujeQ41CRURqzcwWAi4iJgaYWmSRuYDJBa9NBnqm9yjzvoiIiMgcqSO1QPsK+E2aSaoPsCVwZ22TJDLn6t6jjg++m8rBw1/kw7ET6btAb67ccw2WnKc7U6dMr3XyRETmZJcAt7r7syXen8TswbCeRFlrUu7/wvcnNPbBdXVd6NNnrsYWm6Pp+DSfjmHz6Rg2n45h8+kYNp+OYdvqSAG0Q4C/Ad8SLeceBgbVMkEic7LvZzAzeAbw4diJHDz8RW45cF161DhtIiJzuD2AiWb2u/R/TwAzW8vdVwU+AhYrWGcx4DUagmjZ/5hZN2Ah4JPGPnj69HrGjSsdZ1tkkXmr2pHOqNzxqYSOoY5hS9AxbD4dw+ZrzjHU8Qu657atjhRAWx54GTgdmA+4DLiAmCmqpNaqCa2r66pobzug76F2Ph4/aWbwLPPh2IlMm1HPovpOakLXQ/ug70HagRUK/r8AmA4clf5/hhhTFgAzm4uYIOAsd59hZs8DGwIPpkXWA6YR5TARERGROVKHCKCZ2XLEWB793P3D9Nr+wGgz+5O7f1Zq3cZqQpuqT5+5WmW7Uh19D7XTrVvd/7N353F2luXh/z8zZ5ZMNifFINiAsvy8XGoR4xIR69rqF2upVEVLRIsCxoriVtsC1rrUraIUSoxYZIkLLrVULd9a9acWCq1GrbXipagsIQiKCdlmMpnl+8fzTDiZTCYzOWfOmXPm8369zuuc89zPct33PZmcc8393DcrlvXtlURbsayPrs4O+6RJ/PcwN9gP++dfQhsjM2+pfh8R24HhzLyt3HQ58OaIOI9iOowLgNuBr5bllwKXRcT3y+2XApdn5vZGxC9JkjQXtcoiAiuBbePJs9IGoAI8pDkhSfPbok5Yu3olK5b1AeyZA21Rq/xWkaR5KjNvBU4BXgp8G3gQcHJmjpblnwLeCaylGIX2beCNTQlWkiRpjmiJEWgUS6n3R8QRmXlHue0R5fPPmhSTNK/tHhrhiMXdXHPWKoZHx+jq7GBRJy4gIElNkJkdU5StnmTbdcB1UxzzXuC99YlOkiSp9bVKAu0m4HvAxyLiDRRLrK8Drs7MXzU1Mmke2z00Qg9waHnL2u5mByRJkiRJ0ixoiZutMnMYeC7wa4rVN/8R+AZwdjPjkiRJkiRJUvtrlRFoZOYm4EXNjkOSJEmSJEnzS0uMQJMkSZIkSZKaxQSaJEmSJEmSNAUTaJIkSZIkSdIUTKBJkiRJkiRJUzCBJkmSJEmSJE3BBJokSZIkSZI0BRNokiRJkiRJ0hRMoEmSJEmSJElTMIEmSZIkSZIkTcEEmiRJkiRJkjQFE2iSJEmSJEnSFLqaHYAkSdJ8FBELgD8CHgZcBBwH3JyZv2hqYJIkSdqHI9AkSZIaLCKOBX4EvB34C6AfeBXwvxGxspmxSZIkaV8m0CRJkhrv74B/Bo4FdpXbXgJ8FvhQs4KSJEnS5EygSZIkNd4JwCWZOTa+ITNHgfcBxzctKkmSJE3KBJokSVLjbQcOn2T7bwGbGxyLJEmSDsAEmiRJUuN9GFgXEScDHcAjIuJM4CPAPzQ1MkmSJO3DVTglSZIaLDPfGRH3ARcDC4EvAPcAHwD+tpkgugRFAAAgAElEQVSxSZIkaV8m0CRJkpogMy8GLo6IRUBXZt7X7JgkSZI0ORNokiRJTRARzwUeDvSW7/eUZebfNCksSZIkTcIEmiRJUoNFxOXAauCHwMCE4jFg2gm0iOgFNgDnZuZXym2PBS4EVgK/ophb7b3lSp9ExHEU87AdB9wMvCozv1V1zheVMTwY+DfgzMy8Z+Y1lSRJag8m0CRJkhrvBcALM/PaWk4SEQuATwCPqtr2G8B1wKeBs4CHAVdQrPw5fsvodcA1wBnA2cCXIuKYzNwWEY8HrgTWAN8BLgKuAp5TS6ySJEmtzFU4JUmSGu/O8nHQIuKRwE3AMROKTgJ2A6/LzB9n5hcpRqOdVpafWpa/MTNvBl4P3FduBzgH+FxmXpGZ3wdOB54dEcfWEq8kSVIrcwSaJElS470KuDQiLgFuB0arCzPzm9M4x1OALwNvA3ZUbf8G8OLx2zVLY8CC8vUq4Ibx8swci4gbgCcBHy3L96wEmpl3RMRtZfkt062gJElSOzGBJkmS1HgrgeMpbq2caAyoHOgEmblu/PWEBQjuAO6oKusDzgS+WG46HMgJp7sbeExV+aZJylccKCZJkqR25S2ckiRJjXc+8JfAUqB7wqOnXheJiAqwHljE/QsTLAR2Tdh1F+VqoNMolyRJmnccgSZJktR4u4BrM3P7bF0gInooFhj4PeBZmfmLsmiQfZNhvcDOaZbvV6XSQX//woOOeT6wfWpnG9bONqydbVg727B2tmFjmUCTJElqvL8APhARbwJ+DgxXF06Yv2zGyts2P08xb9lzMvM/q4rvBA6bcMhhwF3TLN+vkZExtmzZf55t+fIlBzpF25uqfabDNrQN68E2rJ1tWLta2tD2K/h/bmN5C6ckSVLjvQN4NvBDYIBiVczqR60+DjyRYuTZDRPKbgJOiIgOgPL5hHL7ePmJ4ztHxBHAkVXlkiRJ844j0CRJkhpv9WydOCJOBZ5fXuOOiBgfTTaSmb8EPgu8B7g4Ii6lWGBgKfCpcr+1wDfKlTlvAi4CrsvMn8xWzJIkSXOdI9AkSZIaLDO/kZnfAO4BDgEOBTZXba/FC8vn9RS3XY4/vlteeyvwXIpRZ98BngyclJnbyvIbKZJq5wM3AvcBL6sxJkmSpJbmCDRJkqQGi4hlwFUUiazNQAVYEhH/DpycmffN5HyZ2VH1+gXT2P9bwGOnKL8SuHImMUiSJLUzR6BJkiQ13sUUE/M/PDMPycx+4NHAQuDCpkYmSZKkfZhAkyRJarznAa/KzB+Pb8jMHwJ/Cvxh06KSJEnSpEygSZIkNd7AfraPUdzOKUmSpDnEBJokSVLj/TPw9xHxsPENERHAJcAXmhaVJEmSJuUiApIkSY33Z8A/AT+KiK3ltiXAl4BzmhaVJEmSJmUCTZIkqcEycwvwtIj4beDhwCDwo+o50SRJkjR3mECTJElqnl8C24AOgIg4GiAzf9bMoCRJkrS3uiXQIuJBwCuBhwFvBp5G8ZfU79frGpIkSe0gIn4PuApYPqGoAxcSkCRJmnPqsohARDwO+DHwTODFwGKKBNp/lh8QJUmSdL+Lga8AxwNHVz2OKp8lSZI0h9RrBNqFwHsy890RsQ0gM18dEXcD7wG+XKfrSJIktYMjgedk5s+bHYgkSZIOrC4j0Cj+evrpSbZfTTExriRJku73NeCpzQ5CkiRJ01OvEWj3AI8Afjph+4nApjpdQ5IkqWVFxNur3t4FfDginkPx+Wmket/MfGsjY5MkSdLU6pVAey9wWUS8h2JU2+9GxJHAa4E/r9M1JEmSWtlTJry/EXhQ+ag21phwJEmSNF11SaBl5kci4i6K1Td3Usx7lsArMnOyWztnLCK6KRJ1p1OsUPVp4NzM3FWP80uSJM2mzHz6TI+JiHcD78/MX89CSJIkSZqmeo1AIzO/AHyhXuebxPuBPwROpvjL7CeAe4HzZ/GakiRJzfSnwGWACTRJkqQmqksCLSL6gDMoFgzonViemWfVeP5+YA3w+5l5Q7ntbcCptZxXUm26eyrsGIVNWwfp6qqwqBN2D40c+EBJ0nR1NDsASZIk1W8E2qcoVpL6OjBQp3NWO7E871fGN2TmFcAVs3AtSdPQ3VPhju27WbN+Axs3D7BiWR9rV6/kiMXdJtEkSZIkSW2lXgm0ZwLPyczr63S+iY4BbgVeEhHnAYuBzwB/mZlDs3RNSVPYMcqe5BnAxs0DrFm/gWvOWkVPk2OTJEmSJKme6pVA+1EdzzWZJcBRwDnA2eX7teU1z53qwEqlg/7+hXUPqFLpnJXzambsh+bZtHVwT/Js3MbNAwyPjnGofdIU/nuYG+wHSZIkqf3UK+n1cuAzEfFJ4HZgtLowM6+q8fzDwFJgdWb+FCAi3gRcHRFvyMzR/R04MjLGli07a7z8vvr7F87KeTUz9kPzdHVVWLGsb68k2oplfXR1dtgnTeK/h7nBfti/5cuXNDsESZIk6aDUM4EWwGvZdw60MaDWBNomYHg8eVZKYAGwHLi7xvNLmqFFnbB29cp95kBb1Am7mx2cJEmSJEl1VK8E2tkUo8M+UafzTXQj0BURj87M/ym3PRLYBtw7S9eUNIXdQyMcsbiba85axfDoGF2dHa7CKUn191HgvmYHIUmSNN/VK4H2K+D7dTrXPjLzJxFxLfCxiDgbWAi8B7gsM4dn67qSprZ7aIQe4NDyljVHnknS/kXE5dPdNzPPKJ9fP3sRSZIkabrqlUB7LfDhiHgH8HOKOcv2yMyf1eEaLwUuAr5Wnv9K4M/rcF5JkqRG6K563QecAmwAvk1x9/vxwJOofeoLSZIk1Vm9EmjXls/XVW0bAzrK50qtF8jMbcAZ5UOSJKmlZOZLx1+XCy/9dWb+dfU+EfEW4KkzOW9E9FIk4s7NzK+U234DWAc8G/g18FeZeWXVMccBHwaOA24GXpWZ36oqfxHwN8CDgX8DzszMe2YSlyRJUjvprNN5jprkcXTVsyRJku73B8Bkc8d+nhkk0CJiAfBJ4FETiq4ADgGeDLwdWBcRJ5THLKL4o+dNwErg34EvRcSSsvzxFCP93wmsolgJ3VFxkiRpXqtLAi0zbwNup5jY/4+AFwG/DdxVlkmSJOl+P2bCqPqI6AReB/zPpEdMEBGPpEiCHTNh+zHA84CzMvN/MvNyYD3w6nKXUyluGX1jZt4MvJ5ioYJTy/JzgM9l5hWZ+X3gdODZEXHsjGspSZLUJuqSQIuII4HvAp8BTisfnwK+HxG/WY9rSJIktZHXAmsi4paI+HxE/BPFPLIvAF41zXM8Bfgyxbxp1Z5I8UfMW6q2XV+13yrghswcBcjMMeCGCeXfHD8wM+8AbpvkOpIkSfNGveZAuwTYBDw9MzcDRMQhwNUUE/+/oE7XkSRJanmZ+e/liK5TgUeUm/8v8KnM3DLNc6wbfx0R1UWHU3wuq3Y3sKKqPCcpf8w0j5ckSZp36pVAewbwxPHkGUBm3ltOhHt9na4hSZLUNjLzV+XIsx8C/wksmW7y7AAWArsmbNsF9ERExxTlvQc4vpcDqFQ66O9fOOOA5xPbp3a2Ye1sw9rZhrWzDWtnGzZWvRJov6aYqHaiQ4ChOl1DkiSpLUTEYoqJ/k8BRoGHAR+MiEOBk2tc8XKQfZNdvcBAZo5FxP7Kdx7g+J0cwMjIGFu27H+35cuXHOgUbW+q9pkO29A2rAfbsHa2Ye1qaUPbr+D/uY1VrwTaJ4DLIuIc4L/KbU8E/o5iZShJkiTd7wMUf2g8CvhBue2NFKtf/h3w4hrOfSdw2IRthwF31alckiRp3qnLIgLAXwE3Av8C3Fs+vgD8K/BndbqGJElSu/gD4A3Vq5WXk/6/Gvi9Gs99E/CbEfHQqm0nltvHy08ob+ekfD5hQvmJ4wdGxBHAkVXlkiRJ805dRqBl5i7g5RFxLsUtCIPALZlZ27hWSZKk9tTH5NNc9AIdtZw4M38WEf8KXBURrwFWUqyQ/vRyl88C7wEujohLgTOBpRQrqAOsBb4RETdQJM0uAq7LzJ/UEpckSVIrq9cINCKin2IVqUXAA4FVEfGMiHhGva4hSZLUJq4F3l1+fgIYi4j/D7gY+GIdzn86sIVicYK3Aq/MzBsBMnMr8FyKUWffAZ4MnJSZ28ryGymSaudT3GFwH/CyOsQkSZLUsuoyAi0iVgMfBXomKR4DKvW4jiRJUps4B/gYxbQXHcB/U/wR8l+B1830ZJnZMeH9PRS3ie5v/28Bj52i/EqK+dgkSZJE/RYReBfFhLfvLP+qKUmSpP0oPy/9UUQcTTGCv6vYnD9qbmSSJEmaTL0SaIcAl5o8kyRJOrCI+G/g48CnMvNLzY5HkiRJU6vXHGj/BLyoTueSJElqd2uBZwM/jYgbIuI1EXFos4OSJEnS5A56BFpEXFX1djHFRLinAD8FRqr3zczTD/Y6kiRJ7SYzPwx8OCIeBLwQeAHw/oj4JvBJ4B8d2S9JkjR31DICbaTqsRm4CriZYkn2kQkPSZIkTZCZd2fmJcCrgQ8BT6EYnXZXRFwZEYc3NUBJkiQBNYxAy8w/mekxEfFx4PXlylCSJEnzVkQ8kmL02YuAY4GvAGcBnwceCFwKfBFY2awYJUmSVKjXIgLT9QfABYAJNEmSNG9FxP8CAdwIXAJ8OjPvrdplR0R8DPhIM+KTJEnS3hqdQJMkSVIx9cUnM/P2Kfb5F+A3GxSPJEmSpmACbR7qXdjNtqFRhkfH6OrsYElPJ7t27m52WDNSqXQySAd3b99FZ6XCAsYYGRltdlgz0rOgi+3DY3v6YXFXB0ODw80OS9I8Nv67dXhsjK6Ojpb83doqMvO9EdEdEQ8BKuXmDqAXOD4zP56ZO5sXoSRJkqqZQJtnehd2c9uWXaxZv4GNmwdYsayPtatX8pD+3pZJolUqndw1MMzZVXVYt3olh/d1tcwXvZ4FXdy+dWiffjhyaY9JNElN0Q6/W1tJRDwfuAxYNknxncDHGxuRJEmSplLLKpxqQduGRvckbQA2bh5gzfoNbBtqnS9Hg3Ts+YIHRR3OXr+BQTqaHNn0bR8em7Qftg+PNTkySfNVO/xubTHvBj4HPJJiNfMTgOcBtwJ/1bywJEmSNBkTaPPM8OjYni9H4zZuHmB4tHUSN8Nj+6nDWAvVoQ36QVJ7aYffrS3mKOB9mZnABuCwzPwXYA3wxqZGJkmSpH2YQJtnujo7WLGsb69tK5b10dXZOiMMujr2U4eOFqpDG/SDpPbSDr9bW8wWYGH5+kfA8eXrpEiuSZIkaQ6ZlQRaRPRGxOMj4gETit4K/Go2rqnpWdLTydrVK/d8SRqfe2tJT+vkUhcwxroJdVi3eiULaJ1REou7Oibth8VdflGV1Bzt8Lu1xXwBuDQiHgV8HXhpRDwBeDXFHGiSJEmaQ+qyiEBEPAz4GPBm4AfAf1DM6bEtIp6bmdcDZOYH63E9HbxdO3fzkP5erjlrVcuuwjkyMsrhfV18+sxVjHZA5xgtt1Lc0OAwRy7t2asfXIVTUjNV/251Fc6GOBf4ILASuBr4I+BGYAdwWhPjkiRJ0iTqtQrnJcBdwE+APwGWA0cAZwAXAk+o03VUB7t27qYH6AEYhV3DI02OaOZGRkbpBvr7F7Jly05arwZFEq26H4bMnUlqsvHfrd3j75sZTJvLzO3AmVWbVkfEGmAgM/0fQZIkaY6pVwLtycCjM/OXEXEycG1m3hkRVwF/UadrSJIktayIOGOa+5GZl892PJIkSZq+eiXQtgP9EfFA4ETgonL7w4B763QNSZKkVnbBNPcbA0ygSZIkzSH1SqD9I3ANMABsAq6LiFMpEml+AJQkSfNeZrq6piRJUouqVwLtnPLxEOCSzByKiB7gnZl5SZ2uIUmS1DYiYjnwEuARwCjw38A1mXlfUwOTJEnSPjrrdJ6/BNZl5rmZeQtAZl4NXBURf1una0iSJLWFiHgycAvwOorFlx5MMW/sjyPi0c2MTZIkSfs66BFoEfFI4LDy7V8BP4iILRN2exSwBnjTwV5HkiSpDV0M/APwxswcA4iITorpLy4FntLE2CRJkjRBLbdwHgp8per9ZyfZZzvgCDRJkqS9PRx48XjyDCAzRyPiYuC7zQtLkiRJkznoBFpmfp3yFtCI+Dnw+Mz8VZ3ikiRJamdfBl4GnDdh+/PY+w+UBy0illGMdDuJYqGnq4HzMnMkIn4DWAc8G/g18FeZeWXVsccBHwaOA24GXpWZ36pHXJIkSa2oLosIjK8qFRGd5V9PD6O49eC743OiSZIkaY+NwJsi4iTgP4Bh4DHAicCXIuKq8R0z8/SDvMalwOHA71DMs/YJ4F7g/cAVwGLgycDjgXUR8ZPM/I+IWARcR7HC+hnA2WVMx2TmtoOMRZIkqaXVZRGBiFgVEXcAT42IBwEbKOb1+N+IeH49riFJktRGFlEktL4HLASWAj8DrqJIco2Uj+EarnES8KHM/EFm/v/l9Z4REcdQjHQ7KzP/JzMvB9YDry6POxXYTTE/283A64H7yu2SJEnzUl1GoAEXAtcC3wJeS/Gh61DgNOAdwOfrdB1JkqSWl5l/Mp39IuLjEXFoZt5zEJe5FzgtIr4M9APPofhM9kTgrgl3CVwPXFC+XgXckJmjZaxjEXED8CTgowcRhyRJUsurywg04Hjg/Zm5HfgD4J8yc5BiDo9j6nQNSZKk+eZ5FLdaHoxXA08DtgF3Ar8A3kZxW+emCfveDawoXx+oXJIkad6p1wi0e4EjI6KDYh6N8b9gPg64q07XkCRJmm86ajj2WIoVPf+a4hbRSyhWR78X2DVh311AT/lZbuF+ynsPdMFKpYP+/oU1hNz+bJ/a2Ya1sw1rZxvWzjasnW3YWPVKoF0O/BMwBHwf+GpEvJpiktqJq0tJkiRpFpXznH0IeGhmbiy3vRL4N4rPZhOTYb3AQHm75uB+ynce6LojI2Ns2bL/3ZYvXzLtOrSrqdpnOmxD27AebMPa2Ya1q6UNbb+C/+c2Vl1u4czMtwKvBN4L/F45Z8atwKmZ+aF6XEOSJEnTthLYNp48K20AKhTJsMMm7H8Y9981cOcByiVJkuades2BRmZ+PjM/lJm/LN//S2Z+sV7nlyRJ0rRtAvoj4oiqbY8on/8v8JsR8dCqshOBm8rXNwEnlLdzUj6fUFUuSZI07xz0LZwRcTtwfGbeGxF3AGP72zczjzzY60iSJGnGbgK+B3wsIt5AMa/ZOuDqzPyviPhX4KqIeA3FaLXTgKeXx34WeA9wcURcCpxJMYfapxpcB0mSpDmjljnQLgC2l6/Pr0MskiRJqoPMHI6I51LMg/Y1inlqPwu8pdzldOCjwH9SrM75ysy8sTx2a3nsOoopOr4PnJSZ2xpbC0mSpLnjoBNomXnlZK8BIqIX+G3gx5l538GHN7mI+ChwbGY+rd7nliRJarQpPju9FfjVwZwzMzcBL9pP2T3AH0xx7LeAxx7MdSVJktpRXVbhjIiHAR8D3gz8APgP4JHAtoh4bmZeX4/rlNd6JvAK4Bv1OqckSVIjTfezU2Z+sHlRSpIkaVy9FhG4hGJlpp8AfwIsB44A/ha4sE7XICIWAR8BbqjXOWeqZ0EXQ10VNm0dZKirQs+CuuQgG2rBom6Guirs7OxkqKvCgkXdzQ5pXhr/WRrvh1b8WapUOtldqXD39l3srlSoVOq2LknDdPdU9uqH7p5Ks0OSND805LOTJEmS6qNe39ifDDw6M38ZEScD12bmnRFxFfAXdboGwLuAr1N84Dyxjuedlp4FXdy+dYg16zewcfMAK5b1sXb1So5c2sPQ4HCjwzkoCxZ1c+vmXfvU4aHLehncsbvZ4c0b7fCzVKl0ctfAMGdX1WHd6pUc3tfFyMhos8Oblu6eCnds371PPxyxuJvdQyPNDk9Se2vUZydJkiTVQb2Gi2ynWCr9gRSJrS+V2x8G3FuPC0TEk4AXAm+qx/kOxvbhsT1ftAE2bh5gzfoNbB/e7wKkc87WXaOT1mHrrtZIeLSLdvhZGqRjT/IMijqcvX4Dg3Q0ObLp2zHKpP2ww38OkmbfrH92kiRJUv3UawTaPwLXAAPAJuC6iDgVuAi4vNaTlxPr/gNwbmZujohpH1updNDfv7DWEADYtHVwzxftcRs3DzA8OsahdbrGbGuHOlSrVDrr1r+N1A79cPf2XZPWYbSDlumTduiHaq3676Hd2A+apln97CRJkqT6qlcC7Zzy8RDgkswcioge4J3A39fh/G8FfpKZn5npgSMjY2zZsrMOIUBXV4UVy/r2+sK9YlkfXZ0ddbvGbGuHOlTr71/YknG3Qz90ViavQ+cYLVOHduiHaq3676Hd2A/7t3z5kmaHMJfM9mcnSZIk1VFdbuHMzOHM/GBmnpuZt5Qjxn4EXJ2Z9bgn7Y+BZ0fE9ojYDvwZ8JTydcMs7upg7eqVrFjWB7BnvqTFXa1zy9rS3s5J67C0t/Umf29l7fCztIAx1k2ow7rVK1lA69yGuqiTSfthkf8cJM2y8c9OwBuAkYjoAq7JzEvq9NlJkiRJdVSXEWjTXYq9Bk8DqpeKfD3wOOC0Gs87I0ODwxy5tIdrzlrF8OgYXZ0dLO7qaJlJ3wEGd+zmoct696rD0t5OFxBosHb4WRoZGeXwvi4+feYqRjugc6xIqrXKAgIAu4dGOGJx9179sKgTFxCQNOsiohv4G4pRaF0Uc5+9JyKGgTMzc0cz45MkSdLe6nUL5yXAL9h3KfYzKJZif0ItJ8/M26rfR8RmYCAzb6nlvAdjaHCYHuDQ8hadodbJd+wxuGM3PUAPwCgMDpssaIbxn6XxfmjFn6WRkVG6uf+WtVb8Sdo9NLJXP5hKltQgbweeXT7GFxD4O+Ay4APAq5oUlyRJkiZRrxuVngy8OTN/CexZih24CvitOl1DkiSpXbwEWJOZ34Di3vdyxP4ZwCnNDEySJEn7qtcItIlLsV9Ubp+Vpdgz8/x6n1OSJKmBHgjcM8n2HUBfg2ORJEnSAdRrBNr4UuxfA+7i/qXYry4fkiRJut9XgLdExPjqMWMR8QDg3RSfpyRJkjSH1CuBdg7FkutfBZ6RmUMUUwq9o3xIkiTpfn8K/DbFKLQ+innQNlLMIfu6JsYlSZKkSdTrFs7lwLHAo4CPRQRAB9BLscLUA+p0HUmSpJZXzhX7hIh4JvBwis9kCXw5M1tnOWNJkqR5ol4JtMuBoyhu5XwTxepRRwN/BJxbp2tIkiS1hYj4GvD8zPwqxQj+8e3LI+JfMvPxzYtOkiRJE9UrgfYU4Hcz88aI+F3gi5l5Q0S8Bfh94JI6XUeSJKklRcRJwKry7VOBt0bEjgm7HUvxR0lJkiTNIfVKoHUAd5avfwg8FrgB+DTwZ3W6hiRJUiv7IcVI/Y7ysQoYqiofo1jZ/GWND02SJElTqVcCbQNwOvBO4HvAs4GLgWPqdH5JkqSWlpm3As8AiIiPAa/LzK1NDUqSJEnTUq8E2luAL0bETuBK4M0RcTPwm8DVdbqGJElSu3gH8MCIeOBkhZn5swbHI0mSpCnUJYFWzn32EGBRZt4bEY8Dng/cS3EbpyRJku53C8Utmx1V28bKxyjQ04ygJEmSNLl6jUAjM7dTzNtBZm4C/r5e55YkSWozExcK6KKY+uJtwLsaHo0kSZKmVLcEmiRJkqYnM2+bZPNPI+Je4JPAlxockiRJkqbQ2ewAJEmStEcnxRyykiRJmkMcgSZJktRgEfH2STYvBU4Dvlyna3QD76VYKb2DYl7aczNzVzl37WXAk4HbgTdk5nVVxz4duAg4Fvgv4JWZeUs94pIkSWpFjkCTJElqvKdMeJwIPBz4MHBGna7xfuAU4GTgecD/AS6IiA7gWorFnh5PsYL65yLiKICIOAL4Z2A98DjgF8C1EeHnRkmSNG85Ak2SJKnBMvPps3n+iOgH1gC/n5k3lNveBpwKPB0I4CmZuQ34YUQ8C3gFcD5wJvDfmfm+8rgzKJJozwC+MptxS5IkzVUm0CRJkpogIh5OMcKrm+IWyz0y8/IaT38iMEBVwiszrwCuiIi/BL5bJs/GXU8xEg5gFfDNquN2RsR3gCdhAk2SJM1TJtAkSZIaLCL+HPgb4NfAtgnFY0CtCbRjgFuBl0TEecBi4DPAXwKHA5sm7H83sKJ8faBySZKkeccEmiRJUuO9CjgvM989S+dfAhwFnAOcXb5fS/HZbyGwa8L+u4De8vWByverUumgv3/hwUc9D9g+tbMNa2cb1s42rJ1tWDvbsLFMoEmSJDVeP/DZWTz/MMWqnqsz86cAEfEm4GrgCuABE/bvBXaWrwfZN1nWS7HowJRGRsbYsmXnfsuXL18yjdDb21TtMx22oW1YD7Zh7WzD2tXShrZfwf9zG8vVlGZo4ZJuhroqbNo6yFBXhYVLupsd0owtWFTUYWdnJ0NdFRYsar06tEM/9C3eux/6FrdeHdpBpdLJ7kqFgc7iuVLx16KkhrgaeFW5IuZs2AQMjyfPSgksoFgQ4LAJ+x8G3FW+vvMA5ZIkSfOOI9BmYOGSbn527y7WrN/Axs0DrFjWx9rVKzn6kF52btvd7PCmZcGibm7dvG8dHrqsl8EdrVGHduiHvsXd/PzX+9bhqN/oZWB7a9ShHVQqndw1MMzZVf2wbvVKDu/rYmRktNnhSWpvDwROAU6LiFuBoerCzPydGs9/I9AVEY/OzP8ptz2SYr61G4E3R8SizNxRlp0I3FS+vgnYc/2IWAgcD7yzxpgkSZJalkMtZmDLwOiehAfAxs0DrFm/gS0DrfNFe+uuyeuwdVfr1KEd+uG+wcnrcN9g69ShHQzSsSd5BkU/nL1+A4PM1oAQSdrjRxSLCKwFrgO+OuFRk8z8CXAt8LGIWBkRTwHeA1xWnv82ihU5HxURb6FYefOy8vDLgSdGxHkR8UjgH4Db6xGXJElSq3IE2gwMj47t+aI9buPmAYZHx+hpUkwzZR3mhighqRQAACAASURBVHaoQzsYHttPP4yN4Q21kmZTZv51Ay7zUuAi4GsUc6JdCfx5Zo5ExMkUibENwE+B52fmrWVst0bEKcAHgfMoRqSdnJn+lUeSJM1bJtBmoKuzgxXL+vb6wr1iWR9dnR3QIh8prcPc0A51aAddHfvphw5HoEmqv4i4CvjTzNxWvt6vzDy91utl5jbgjPIxsewW4KlTHHsdxcg4SZIk4S2cM9Lf18na1StZsawPYM+8Vf19rdOMS3snr8PS3tapQzv0wwMWTF6HByxonTq0gwWMsW5CP6xbvZIFjDU5MkltamTC6/09hhsfmiRJkqbiCLQZ2LltN0cf0ss1Z61ieHSMrs4O+vs6W2bieoDBHbt56LK967C0t7NlFhCA9uiHge27Oeo39q7DAxZ0uoBAg42MjHJ4XxefPnMVw2NjdHV0sIAxFxCQNCsy80+q3v4pxciwAHqbE5EkSZKmywTaDO3ctpse4ND+hWzZspOd20YOeMxcM7ijqEMPwCgMDrdeHdqhHwa2790PA9tbrw7tYGRklG7YM+eZvSCpQT5BcQvlN4CBCWUOg5UkSZpjTKBJkiQ13rOA52Tm9c0ORJIkSQfmhEuSJEmN9yP8Q6YkSVLL8IObJElS470c+ExEfBK4nQlrMGfmlKt0SpIkqbFMoEmSJDXeyykWEHgtk8+BZgJNkiRpDjGBJkmS1HhnA6sz8xPNDkSSJEkH5hxokiRJjfcr4PvNDkKSJEnT4wg0SZKkxnst8OGIeAfwc2C4ujAzf9aUqCRJkjQpE2iSJEmNd235fF35PFY+d5SvKw2PSJIkSftlAk2SJKnxjmp2AJIkSZo+E2iSJEkNlpm3NTsGSZIkTZ+LCEiSJEmSJElTMIEmSZIkSZIkTcEEmiRJkiRJkjQFE2iSJEmSJEnSFEygSZIkSZIkSVMwgSZJkiRJkiRNwQSaJEmSJEmSNAUTaJIkSZIkSdIUupodwHRFxDHAh4ATgR3ANcB5mTnY1MAkSZIkSZLU1loigRYRPcAXgB8CJwCHApeXxW9sVlySJEmSJElqfy2RQAOeABwLPCEztwM3R8QFwIWYQJMkSZpSRHwUODYzn1a+Pw74MHAccDPwqsz8VtX+LwL+Bngw8G/AmZl5T6PjliRJmitaZQ60BE4qk2fjxoDeRgeycEk3Q10VNm0dZKirwsIl3Y0OoWbjddjZ2dnydWjlfqhUOtldqTDQWTxXKq3yz/F+PQu69uqHngWtkpO/Xzv0w3gd7t6+q2XrIGn2RMQzgVdUvV8EXAfcBKwE/h34UkQsKcsfD1wJvBNYBSwFrmpw2JIkSXNKS3zbzcxfAl8Zfx8RncBrKD7wNczCJd387N5drFm/gY2bB1ixrI+1q1dy9CG97Ny2u5GhHDTrMDdUKp3cNTDM2VV1WLd6JYf3dTEyMtrs8KalZ0EXt28d2qcfjlzaw9DgcLPDm5Z26Id2qIOk2VMmyz4C3FC1+VRgN/DGzByNiNcDzy23fxQ4B/hcZl5RnuN04PaIODYzb2lk/JIkSXNFqw5TuBA4HviLRl50y8DonmQBwMbNA6xZv4EtA63zJdU6zA2DdOxJeEBRh7PXb2CQjiZHNn3bh8cm7Yftw2NNjmz62qEf2qEOkmbVu4Cvl49xq4AbMnMUIDPHKBJsT6oq/+b4zpl5B3BbVbkkSdK80xIj0MZFRAfFSpyvBl6Qmf97oGMqlQ76+xfW5fqbtg7u+ZI6buPmAYZHxzi0TteYbdZhbrh7+65J6zDaQd1+Xmeb/TA3tEMd2k2l0mnba06IiCcBLwR+i73njD2cYnqMancDj6kq3zRJ+YpZCFOSJKkltEwCrbxt8x+A04BTM/Pa6Rw3MjLGli076xJDV1eFFcv69vqyumJZH12dHXW7xmyzDnNDZ2XyOnSO0TJ1sB/mhnaoQ7vp719o2+/H8uVLmh3CvBERvRSfm87NzM0RUV28ENg14ZBd3D+37IHK96uef7hsV7ZP7WzD2tmGtbMNa2cb1s42bKyWSaABHwD+GDglM7/YjAD6+zpZu3rlPnM+9fd1snPbSDNCmjHrMDcsYIx1q1fuM2/VAsZojRrA4q6OSfthcVcHQ60xBVpb9EM71EHSrHgr8JPM/MwkZYPsmwzrBXZOs3y/DvSHS5Ootf9xwza0DevBNqydbVi7WtrQ9iv4f25jtUQCLSJWAedSzHn27Yg4bLwsM3/RqDh2btvN0Yf0cs1ZqxgeHaOrs6NM2rTGxPVgHeaKkZFRDu/r4tNnrmJ4bIyujo4i4dFCk74PDQ5z5NKevfphcVdHyywgAO3RD9V1GO2AzjFarg6SZsUfA4dHxPgK5j1ApXz/CeCwCfsfBtxVvr7zAOWSJEnzTqssIvCC8vndFB/e9jwioqFJwJ3bdtMzPMKDly6gZ3ikpZI248brsHB0tOXr0Mr9MDIySvfICH2jxXMrJjyGBof36odWSp6Na4d+GK/Dgxb3tmwdJNXd0yjmPntM+bgM+Hb5+ibghHJu2fE5Zk8ot1M+nzh+oog4AjiyqlySJGneaYkRaJn5JuBNzY5DkiSpFWTmbdXvI2IzMJCZt0TEPcB7gIsj4lLgTGAp8Kly97XANyLiBoqk2UXAdZn5k4ZVQJIkaY5plRFokiRJqoPM3Ao8l2LU2XeAJwMnZea2svxGiqTa+cCNwH3Ay5oTrSRJ0tzQEiPQJEmSdPAy8/wJ778FPHaK/a8ErpztuCRJklqFI9AkSZIkSZKkKZhAkyRJkiRJkqZgAk2SJEmSJEmaggk0SZIkSZIkaQom0CRJkiRJkqQpmECTJEmSJEmSpmACTZIkSZIkSZqCCTRJkiRJkiRpCibQJEmSJEmSpCmYQJMkSZIkSZKmYAJNkiRJkiRJmoIJNEmSJEmSJGkKJtAkSZIkSZKkKZhAkyRJkiRJkqZgAk2SJEmSJEmaggk0SZIkSZIkaQom0CRJkiRJkqQpmECboYVLuhnqqrBp6yBDXRUWLuludkgzNl6HnZ2dLV+HVu6HngVde/VDz4KuZoc0Y909lb36obun0uyQZqxS6WR3pcJAZ/FcqfhrUZIkSZK0t9b7xt5EC5d087N7d7Fm/QY2bh5gxbI+1q5eydGH9LJz2+5mhzct1mFu6FnQxe1bh/apw5FLexgaHG52eNPS3VPhju2796nDEYu72T000uzwpqVS6eSugWHOrqrDutUrObyvi5GR0WaHJ0mSJEmaIxxqMQNbBkb3JAsANm4eYM36DWwZaJ0v2tZhbtg+PDZpHbYPjzU5sunbMcqkddjROt3AIB17kmdQ1OHs9RsYpKPJkUmSJEmS5hITaDMwPDq254v2uI2bBxgebZ2kh3WYG6zD3DA8tp86jLVOHSRJkiRJs88E2gx0dXawYlnfXttWLOujq7N1RqtYh7nBOswNXR37qUNH69RBkiRJkjT7TKDNQH9fJ2tXr9zzhXt8zqf+vtZpRuswNyzu6pi0Dou7Widxs6iTSeuwqHW6gQWMsW5CHdatXskCHIEmSZIkSbqfiwjMwM5tuzn6kF6uOWsVw6NjdHV20N/X2TIT14N1mCuGBoc5cmnPXnVY3NXRMgsIAOweGuGIxd171WFRJy2zgADAyMgoh/d18ekzVzE8NkZXRwcLGHMBAUltISKOAT4EnAjsAK4BzsvMwYh4CHAZ8GTgduANmXld1bFPBy4CjgX+C3hlZt7S4CpIkiTNGS00VmRu2LltNz3DIzx46QJ6hkdaKmkzbrwOC0dHW74OrdwPQ4PDe/VDKyXPxu0eGtmrH1opeTZuZGSU7pER+kaLZ5NnktpBRPQAXwB2AScApwF/CLwrIjqAa4F7gccDVwKfi4ijymOPAP4ZWA88DvgFcG1E+LlRkiTNW45AkyRJaj9PoBg99oTM3A7cHBEXABcCXwICeEpmbgN+GBHPAl4BnA+cCfx3Zr4PICLOoEiiPQP4SsNrIkmSNAf4l0RJkqT2k8BJZfJs3BjQC6wCvlsmz8ZdDzypfL0K+OaeE2XuBL5TVS5JkjTvOAJNkiSpzWTmL6kaLVbefvka4N+Bw4FNEw65G1hRvj5QuSRJ0rxjAk2SJKn9XQgcTzHn2Rso5kartotidBrAwgOU71el0kF//8LaIm1ztk/tbMPa2Ya1sw1rZxvWzjZsLBNokiRJbapcMOBDwKuBF2Tm/0bEIPCACbv2AjvL14PsmyzrpVh0YEojI2Ns2bJzv+XLly+ZZuTta6r2mQ7b0DasB9uwdrZh7WppQ9uv4P+5jeUcaJIkSW2ovG3zcmANcGpmXlsW3QkcNmH3w4C7plkuSZI075hAkyRJak8fAP4YOCUz/7Fq+03AYyJiUdW2E8vt4+UnjhdExEKK2z9vQpIkaZ7yFk5JkqQ2ExGrgHOBvwC+HRHVI8q+AdwGXBERbwN+n2LlzVeU5ZcDb46I84DPAxcAtwNfbUz0kiRJc48j0CRJktrPC8rnd1Pceln96ABOBg4FNgCnA8/PzFsByudTgJcC3wYeBJycmaONC1+SJGlucQSaJElSm8nMNwFvmmKXW4CnTnH8dcB19Y5LkiSpVTkCTZIkSZIkSZqCCTRJkiRJkiRpCibQJEmSJEmSpCmYQJMkSZIkSZKmYAJNkiRJkiRJmoIJNEmSJEmSJGkKJtAkSZIkSZKkKZhAkyRJkiRJkqZgAk2SJEmSJEmaQlezA5iuiOgFLgZeCOwCLszM9zU3KkmSJEmSJLW7VhqB9n7gBOBZwNnA+RHx4uaGJEmSJEmSpHbXEgm0iFgEnAmcm5kbMvNa4H3Aaxody8Il3Qx1Vdi0dZChrgoLl3Q3OoSajddhZ2dny9ehlfthwaK9+2HBotargyRJkiRJ80Gr3MJ5HNALXF+17XrggojoyszhRgSxcEk3P7t3F2vWb2Dj5gFWLOtj7eqVHH1ILzu37W5ECDWzDnPDgkXd3Lp53zo8dFkvgztaow6SJEmSJM0XLTECDTgc+HVmDlZtuxvoAZY3KogtA6N7Eh4AGzcPsGb9BrYMjDYqhJpZh7lh667J67B1V+vUQZIkSZKk+aJVRqAtpFg4oNr4+96pDqxUOujvX1iXIDZtHdyT8Bi3cfMAw6NjHFqna8w26zA3tEMdqlUqnXX7d6aDZz/MDfaDJEmS1H5aJYE2yL6JsvH3O6c6cGRkjC1bptxl2rq6KqxY1rdX4mPFsj66Ojvqdo3ZZh3mhnaoQ7X+/oUtGXe7sR/mBvth/5YvX9LsECRJkqSD0iq3cN4JLIuInqpth1GMQvt1o4Lo7+tk7eqVrFjWB7Bn3qr+vlZpRuswVyztnbwOS3tbpw6SJEmSJM0XrTIC7XvAEHAC8PVy24nAhkYtIACwc9tujj6kl2vOWsXw6BhdnR3093W2zMT1YB3misEdu3nosr3rsLS30wUEJEmSJEmag1oigZaZOyPiSuDSiHg5xeizNwFnNTqWndt20wMcWt6is3PbSKNDqNl4HXoARmnpOrRyPwzu2LsfBodbrw6SJEmSJM0HLZFAK70BWAt8DdgKvD0zr2luSJIkSZIkSWp3LZNAy8ydwMvKhyRJkiRJktQQzlguSZIkSZIkTcEEmiRJkiRJkjSFlrmFU5IkSY0REb3AxcALgV3AhZn5vuZGJUmS1DyOQJMkSdJE7wdOAJ4FnA2cHxEvbm5IkiRJzWMCTZIkSXtExCLgTODczNyQmdcC7wNe09zIJEmSmscEmiRJkqodB/QC11dtux54fEQ4/YckSZqXTKBJkiSp2uHArzNzsGrb3UAPsLw5IUmSJDWXCTRJkiRVW0ixcEC18fe9DY5FkiRpTugYGxtrdgyz7ZfAbc0OQpIk8RAcwTTnRcQLgbWZ+cCqbY8Afgg8KDPvmeJwP3dJkjQ3+LmrzubDPBb+wEiSJE3fncCyiOjJzKFy22EUo9B+fYBj/dwlSZLakrdwSpIkqdr3gCHghKptJwIbMnO4OSFJkiQ113y4hVOSJEkzEBEfBn4HeDnF6LOrgbMy85pmxiVJktQs8+EWTkmSJM3MG4C1wNeArcDbTZ5JkqT5zBFokiRJkiRJ0hScA02SJEmSJEmagrdwzlBE9AIXAy+kWI3qwsx8X3Ojml8i4hjgQxQTGu8ArgHOy8zBpgY2j0XER4FjM/NpzY5lPoqIbuC9wOlAB/Bp4NzM3NXUwOaZiFhG8f/DScAAxZxR52XmSFMDkyRJdRERHZnpLVzSPOUItJl7P8WqVM8CzgbOj4gXNzek+SMieoAvUCQvTwBOA/4QeFcz45rPIuKZwCuaHcc8937gFOBk4HnA/wEuaGpE89OlwAqKiddXAy+jmEdKkqT9ioiOZsegqUVEJ8B8TJ758yndzxFoMxARi4Azgedl5gZgQ0S8D3gN8KmmBjd/PAE4FnhCZm4Hbo6IC4ALgTc2NbJ5qPw38RHghmbHMl9FRD+wBvj9zLyh3PY24NRmxjVPnQS8LDN/ABARnwCeQZHglCRNU/kH0+OBoPiD/6fa+U6DzByLiAcD28pNg5m529FOzRcRXZk5DJwTEU8DXtLOP4uT8Wdw5vy3275MoM3McUAvcH3VtuuBC6p+uWp2JXBSmTwbN0bRL2q8dwFfB+6iuKVWjXcixe2CXxnfkJlXAFc0KZ757F7gtIj4MtAPPAf4fHNDkjRbImIhsJAiwfP/2LvrMDnrq43j3yQQSJDgbgXCjUOLO0VbKA6lUFyKQ9FCKVIotFihL27FoQSXYsGKBQlaoNy4uydACIG8f5zfwNMUCWF3n52Z87muXLs78+xyZpjZnefMkbdtf1FzSE1NUk/bX0iajqii3gi4BVgKGCRpBuAB2+/UGWdHaZxgSxof2Kz8mwd4GFhT0hDbQ77lR6Su0RjDsDkwL/G4PK3Vz/0qj89fAL8E3gfuAx4EXsjH5rdrJM9K5eLITKa1jmzh/H6mBt4d5V2HN4DewOT1hNRebL9l+8tEQfmltCNwe31RtSdJixGzAPeoO5Y2NwvwPLCBpMckvSDpyPLufepa2wPLEhUErwCvAwfWGE9KqYNJ6lU+rkK8cfEoMftwK0kLlqrgNGYa5yX7AjMRr7uvB54DPiC6QFrpNUev8nEnYAvgz8AuxO0eB7hI0mb1hJbgy6TuSEnzAbMR/692kjSZ7RGNtk5Jf5fUv9ZgO1AleTYdcBwwO7AIcChwOnCApNUUMp9QIWkaSRtJWgHA9heVZFqvb//u1AzyAf/99CVmb1U1vs4KqHr8lSjx36fuQNpJWaZxOjGo/r2642lzEwA/Il7UbQNsC6wL5HKTrjcr8c7s0kQ750zAkXUGlFLqcI0qs2OIqvidgOWJ5McFwGGSDmicPKXRV6nm+Rlwsu0PgXWAf9p+HbgXWF3SjHXF2JEqt3cb4C+2LwFWAq60/RzwJLC5pLFzBlVtGufKOwADbR9PJHOPg0iOSJqfqB58ppYIO0fj8bYR8SbtIrYXIapBryBe55wIHE/mE6pvrCwNDCT+Hpwi6UlJx0paECCXSrWGtn/Af0/D+N9EWePrj7s4lrYmqYekvxF/0Daw/VjdMbWZ/YGnbF9UdyCJEcCEwEa277B9LfEO/Tb5rmDXqWwH3sL2neX/w1bAjpKmrDe6lFJHqFRl/BiYAtil/B18iWhxOoGoklqHMssqEx/fj6Q+wN3ALKW18SfEG3YAZwD9gIlrCq/DSZoceBP4rPzNXoHY4Axxe6cD5sr2r3pUkpxbEc9viJnLK0javHy9DXBNSaa1xHikSjv6F8CDjcef7edtH2p7YeLN2n9UK/ESfwDuJxKPmxDP4TmBSyU9IWmHOoNLHaMlnuRd6BVgYkm9bQ8vl01FVKG9W19Y7aX8kj6d2MC5vu0rag6pHW0ITC2pMYuuN9BL0lDb49cYVzt6FRhhu/rOp4FxidbyN2qJqv0sAAyx/XLlsvuJFp0Zyf8PKTW9ShJjLmCw7Q8lLURUaLxu+yZJSwEP2b5nlO9Jo8H2J5IGEkmJJYiqnpfK1WsCvW0/VFd8HakkZN+SdCWRjJgKeNL23eWQvsDkrXJ7m5WkHwGDgBvKOeB9kg4lWjmvIh6XW5TDW+b5LmlaYqv7jyU9CAyojjEqj9O7y+dtPf/R9ufl/HQ4cIrtOwAkDQYuJJahrEEU46Qml9ni7+ch4omxeOWyJYH7W3mIZDd0FJHAWdv2pXUH06aWBeYG5i//TgUGl89T1xoEjCVpnsplcxLVDy0xaLlJvApMJGn6ymVzlI/P1hBPSqnzDAZml7QF8WbFSL5q7XyP0p2Q1WdjxvbfgcuJER29gWMlPUnMvD0EYjNifRF2jEpy9WJiFMPxQD9Ja5UN8ycBZ9UVX/oyyfmc7SVsj6wUUJxLvM66COhVqs5brUVvMiJBdi9wMHCjpMPKDORUVOaaLUIsWthe0sTlsTPM9rPl8bEX+XxuCT1GjmyZRHmXkHQS0fe9GfFO0TnAb2xfWGdc7ULSokTCYB9G2TJY5mOkGkj6E7Ck7WXrjqUdSbqcaPPYhnjH+mzgUtu71xpYGyknc/cRScvdiP8PJwMP296kzthSSh1P0lrELKTniNmHWxPP/wHAurZvbWyVrDHMplBpjV2EWE50ru2HJE1DtEKJqPK7Bbi7tIz1aKXqPkmTAssRlWhLAW8TLYMX2367ztjaXRmkvwCwEPA4cEF5vP4MuAY41vYurbqVU1I/onhkWSKpPTHxpsG+tgfWGFq3IulwvlpyMoB4Lf4A8I7tz2oLLHW4pn/3pga7EUMTbwY+BA7K5FmXWrd8/HP59yVJY7fiH66URsPGwN+I30sjiHe49q41ojZTTuhWJeag3UxUK18M/K7WwFJKHaKRDCuJsxdtX1a57nTiNckI4A7bt0K2NY2B2Ym/Z6uW1qdbgLO/7g3SZk6eVR5LUxPnFbMBHwHnEduc3wf62h5SY5htTVKv0pa3FPGm/axEsnw74HZJSxJ/41cCHi7f1vTP98pjczJgYeI5+Qxwq+1rJc1AdF+tArxQvqelktljyvZewF7lb8ROwNVE4v8fkq4jkv/Dv+VHpCaRFWgppZRSSil9hzLj5mRgUeAOYs7hLUSb9grEQqmHbH+U1Wejp1J9NgmxxbQH8FS5ehpgEiJBcTeRnHyxnkg7lqRxgVuJqsVBwEFEBdo0wPu2r8nERH0qiaRBwJ2295B0MrH5fA+iA2mg7b/UGmgHqyQOTySWobxEtKm/TLSuXw48avuTGsPslkql4kiiA+FpYDyiMvm3wPRAH9uf1hdh6ig5Ay2llFJKKaVvUJlxsxRRiTIxMeOwUXV6CNHOadsfQVaffQ+Nc5GdiRPOtWzvAOwJ/IU4cd+RmH27f9l43LQqj6WtiRPqVYFTiMfP48AMwEWSZsvkWX1K8mxi4vl+Rrl4VWI8xqvEyIY1Wm3Ldkme9QE2J5a1LU8kDT8l3iS4FHhW0q/qi7L7kbQlcAPwH+B84ApgI9tH254RmCGTZ60jE2gppZRSSil9s0Yi43CiWmhuonXraKI6ahuieuqvktarJcImVRm6PiXwRCUB+XHZZLozcD3wCDAT0Q7VtNu+K7d3HuBf5fPDiGqmN4lxDIOJx1eq1xdEomx2SfMT581Xl+vOAGamhbYqlgpbgF8S22AHEkntZ4gqql2I++B84LryPW27KKVxf5VNzH8hxqcsQDyH3wD+IOl4SeOMsqE9NblMoKWUUkoppfQNKtUoMwBX2H7f9nDbt9n+A1GF9ibRwnm4pDXrjLeZSOpZTsKvAjaVtLGkvpVDPiTu96uAtYlKmHm7PtIOdyOwoqQZgZUpi7FKa9yExDy9VK8PiYT53kTS6D7bwyRNQMy4etb2B5XEU1OrVM2+Cwwtt3NO4ndbP9t3EwnEobbfL9+TVZKwJXCd7cNsP2X7XNtbE1W0axPtm6mFtMQTPqWUUkoppU70CXAPUYUxquuIxVw7EomeVST17sLYmo6k5SRNYvsL2yNtX0MsYtgJOEzSDpI2Iqr8prI9qHzrPMQJflOR1E/S2JWLriQ29N1GtAS/IGlhSQcC0wLndn2UqVFR1Zg/Z/tgYlnA58DkkgYSg+HnBv5Qvq3VqrBuAPoAmxEz+mYiWqkB5gdegf+qWGtLlYTj+wCSxikfG23alxLVez/v+uhSZ8olAimllFJKKX0HSasDRxALBG4gEiAjgT8Cs9heVNLGwN6256ov0u5N0oTEAP2PifvwGqKF8fMyS2hNoB8wHWCiPepxYgPihrZnryPuMVVmSv2TSJrdDjxn+11JExFbN7cGpia2Gn4IHGv77LribWeV5QHbEVsoT7V9VxkQvwax1OI94Grbz9cYaoeqLA9Yibh9DxKJ3BFEG+tAoBfwM2Am20NrC7abkfRTokJxJ+By2yPK5RMRC2ZWrbwBkFpAJtBSSimllFIaDZJWIyrNJgDGJmbe/BM42Pa9kq4GXiiD8NPXKK1hqwKzA3MRs6TeISr5LrX9vKQpbL9ZqjmmJlocJwAOsH1dPZGPGUnLES2bELfzPiKZdpXtRjXPfMBkwD2ZnKifpN8RQ/MnIf6fXQVc1uqzrCSdQLRIb2P7sXLZ6sBWwHDgSttnNxJuNYbabZSNuocBOxAtv5cBExFzDIfZXra+6FJnyARaSqnDSdoM+JPt6Ubj2J8Cb9l+tNMDSymllEZTpRplIqJlazqicuot4MfA5MDrRHvTj4B/AK8S29eeryPmZiPpt8AmxH37JJGUfJlof7qzJNMmI+agPWP7g9qCHUOS+gG/AdYF3iaG0y8N9AauJdo1b8jEWfdRWrBnI57nC5WPkxIVkw8Df7M9vL4IO0eZyXcosARwqO1TyuXTAG82qqvSVyRNa/sVSQsTv8tWJNpcbwYutP1UrQGmDpcJtJRShyvtCuPbfms0jh0JrGj7xu86NqWUUupqkq4h2rleJpIfjxEJnn/ZfrccswgxH+gG28/VFWszqCQmexAzgg4AbiESFAJWI9o4nm2MFwAAIABJREFU3wN2t31RbcF2IElLAWsRj58zgSWB3xOVTq8QydmD84S7eykJ0LmI+YerAOfa3q7eqDqXpJ2AzYmWxIPKZT0rc7/aVqXddUHi+Quwpe33Sqvva1md19rGqjuAlFLrKVukPqk7jpRSSmlMVJI8awDzAb8mWpjmISpS9gb2kvQicfJ0D7FkIH23xrv3qxMVZ5fa/ohIUD4saRBRkfYspfWxMdS9jmB/qDJsfaTt2yUBHEK0xO1se2VJ45Wvf0dsdE01KUndpYC7GxVmperxLkmvlMPOKMe2bELJ9rGSHgSOkjQLsI/tV+uOq5to/B46FniOmH82nqQ/E9VnX0jawfYNdQWYOldWoKWUkLQYcDgxy2UkMeR2S2J19f8B6wDjA3cCO9p22Sb1TddtRqWFU9JB5edNSgwm3c32IEnPAzOWMP5IvKj82p85GrdhbKLsfANgSqKN5i+2T5T0N2AG22uVY38L/BWYrAzynQx4g2gR+ZDY+rU6McPgOeD3ti+RtDewie05K//dbYHtbc87Ovd1Siml5iFpE2AB27tULpuGSKQtDkxpe9u64ms21aSDpP7EhsMDbV82ynF7AAvZXr+GMDtdee2wEnCe7UvqjieFyry6Z4jH5rmVWWBTEi2cS9t+pr4oO07ljYIFgH2Ic4CniS2cHxOvxX8F/Jt47f5wbcF2A41EvqTpicUmU9seKulY4rzhz8BPiXOJHW1/WmO4qZO09frZlNKXw3z/SbxgmIt4QTczsC8xKHklYtjvvMAQou2A77iu+vPXKsf+GpiDePFxcXlHdqFy2C+BI0f3Z36D3xF/vNYlWkDOBI4tJzrXA8tUVm4vUz4uXj4uDzxWhvkeXeJcqdwftwGnlvXUFwCzS5q78t/9Zbk8pZRSCylvzMwFLFGGvANg+1Xb1xNv/Py+HJuvqb+DpLFGqdh5ERgMnCfplJK8aCQxtiBeL1AWCTSd8vhBUt/yRl3j8t62TwLOAv4i6aRyQp5qVJJJNxPzDP9OtBE/ImmwpJOBq4G3bT9TKtWaXuX5ODeRPPsAWBAYB5iFeC1+LVF9e0LjOdquKlWwMxEJtHnK5uBfEW/anwScBLT1/dTqsoUzpTQeUbl1VPnD8JykS4jk0mdEK+bztt8qa737l++b6Vuuq5qp/JwXbD9XqrguBXqW7wN4r7yDM7o/8+s8Cmxl+24ASYcC+xPJtFuBvsC8kh4myvOvJYakXk2UXDe2et1BDIf9d/k5RxKtFdOU+O8C1gMeLe9GLk1U16WUUmotcxCJnEmBsySdAlxs+0348uTz3crn6dsNlHSF7WMASnXGlqVlc13glPJ3dQjxxt5x5fua9b49StI6xG0ZV9I8xKKEFyVNTFT1nAHsDEwh6VetOJi+u6u0B48vaVnbVxKVRH+W9BNgM6Kq6CYisQZRhNK0c67Km8L9ide/I4AzbZ9Vub5PGcdCaTEeCfwJOEjS07ZfrCHs7uRxonPlauL+O7d0vPQEfga8nNVnrSsTaCm1OduvSzoT2FXS/MCcxLyXe4gXr2sBr0q6A7iCMvvhO66rOo948fGMpMbq9tO/YZPP6P7Mr7sdl0taUdJRwOzAT8pVvWx/XH7essQLng+J0vwtyjErlhgBzgbWlLR1+TkLNH5O+Xg+sBMx9Hg94L4cGJ1SSq3H9iPA5JIWIrYoHgQcKelaovL4n42TzDRajiA2GFLmK71JDM0/TdIA4m/uRMBw27c2vqlZZ58R1fRTAxsT4ykuIap7+gHvExVOnxOvt4Zm8qx2CwKXS3oVuAE43vb9fFUJOQ6RLKEFhsTvAOxePv8A2EDS9rYfgphl3EgslvmESDoH+C2ReGu7BFql3XVuYtTMnsRz2MAVklYjziXmIc4TUovKcvOU2pykaYl3QVcA7gd2BY4CKJugZiPaFJ8h2joHlXemvvG66s8v79QvAPyceJG4DfBAaa1klGNH62d+w+34E5HcGgGcAyw6yiHXEwm0ZYgZb7cDC5Z3hCch5q1BJNCOIl7cnki8AK4aAMwqaS4igZbtmyml1IIkTSlpBtv32d7a9mTAhsQb0AOIqqk0+q61/UqpaDmSqE6/uSQs9iLa426oJs+alaSxiMTZrkQCZg8iYXEPMUtqD9s/tb0CcdK9xTf9rNRl5gXuBp4g5vPeJellSb+XNJXtT1sgcdbwe2L28crA9kSV7Q6jHNNXUn9J85aW1WHAobZv6tpQu52NgbkcDrN9ObEMRY3rS4t/alG5RCClNidpR2An26pcNgCYFjiZeCf4H+Xy6YCXiOSUvuW6OShLBCStCsxk+/hyXB/iXeetbF8oaSSwou0by7Dmr/2ZZcPZt92Ot8vtuKB8PSexKn4l2wMlzQv8i5j1dn15x/vVclkf22tKmpBInC1he1D5OasQ7RezlQQfpfrgYeKF8Yy2X//+93xKKaXupszpGqHYvrkjsCTxd+g44ELbb5TjJgPeL8c27YbIriSpl+3PJR1DDCg/jNi2uSqRmJyHqGz5W6PNs9mVRNokxIypDYgq+wmBgcDJpV0w1aRSVTQf8UbqEsCTpQJrBmAX4rUexEzc/W3f1szPeUm/Ip57MzVuQ3mtexCwOdGuuhwxC24eYnnWuaU9sec3dJC0DUnnAV/Y3rjuWFI9soUzpfQOMK2kFYmqr/WI0uQHiTaDP0h6l5jbsTEwtHy+8LdcN0fl5/cEjpD0BjEseHlgXOChcv1QYK7S3vlt/73RuR2/kHQP0TLxf+XycSBacSR9Qiwa+EO57nZgfeLdN4j5ax8Ba0t6jaiGO676c4rzgVOA2zN5llJKraNycngUUTn0M2IUwZHAMZKuJ954ucb22+V7mvJEuqtVqneWB/aw/QHwgaQniL+psxMn8FPDf2/sbFbl8fQmUWl3G3AgkaTZEDi7vHG3o+0T6ouyPY2yCGBZYq7V47Y/kzS27RfLHNzZiMq0GYADJK1l+8Ouj7jD7Exsfx1ZmXU2HjH65CS+GuPyEPAXYuRJY85jUz8ffyhJswKzAguVBOvRpQIttZFs4UwpDSBaHgcQLZzLE++2iRiWekb59wSwBvAL2+8Bx3/LdV+yfRWRsDqCmBOwO7CBbZdDjib+QB8wuj/zG2xBvFP2GNGGeRHxgufHlWNuICoGGv/t24AelAUCtj8DNiLeIf4PcAxwCPDKKD/nsvJ92b6ZUkotonFCXQaHT2z7l8RimdeJKqmNiZanQ4nKqVFPwtM3KNUrSOpPvBb4laQZIRJrtt8vS4B2JMY3QAwubxm2R9h+xfYA4s27hYC9iddeqYuVxHfjMXYLMX/vp+W6z8rH14jn/6TE69SJiNemTUnSBMRYlUbC9rPycSfgEWJ5wky2l7e9qe0LGvdFAmJpzE7EOJqPgL9JelrScZJGHR2TWlS2cKaU0vdUXvQ/AUxt+/2640kppfTDNdqyJG0GbEtUpcxLzOf6E5H4OR64wvYVdcXZzCTtRiQgexBD9f9JVLy/aHtonbGl9iFpXeA123eWr8clxpZsSLwJeyoxH3gj4vG6fhk1cidwge3jvv4nd2+Stic6K1YklmB9KGlS4Dlggcqokqav/uwskiYs91s/4u/DEkTL6/LANrZPqzXA1OmyAi2llEaTpPHKi64TgUsyeZZSSq2j0op5LdCHaN/sTVSdjCytTr2IE6WsPhsDtv8KTAVsCkxMzGI6Hdhb0jqSJqozvs4iqVejCi91C1sBhzSew7aH2d6UaCGeFbiJaL3dltjGeWMZdTIfcGFNMXeE+4BrgMuBZyQdTnSBPFBJnvXI5NlXKtWzP5K0D3CNpI+I8S932v4LsfxsTaKbJ7W4nIGWUur2yjvWB33LIVfZ3qALQhlJvCv5ArB1F/z3UkopdZLKwoBZgXdtv1uuepuYozkW8BQxm2t8SQtRRguU43rQYm2GnU3SxMDnxAn7PyTNQpx8rgdsB8xZZ3wdrSxOGlbd3iipFzGEPB879dmF2ETZW9KZxFzDy8qw/AHAFMQmzjeANySdTFQanWz7rZpi/sFs30fMC54MWBvYEpgfGFaSQxc3Emnpf/yVWAjyZ2K8y8zATyVtDOxbRtakNpAtnCmlbq+8Iz3ZtxwyNIf5p5RSGhOSXiESYecSb8jcWblubKJtcytiWc01pVIljabKpsNViTlS4xFVfQcS7XBDy3Hz236omTccwn9tG12TSFLMQQxkP9v27fVGlyqt2v2I2WbHENWQ4xCLQ64AbrE9rBw/DtHODTCw1aqzJM1MtKpuTGzeHERUUp1QTfy2o8pjZUZiycQMtt8pi8Y2Ax4GbgVOKdW1qQ1kAi2llFJKKbWlUhF1AzFYu+FVYknMGbYfL8f1ByYHHi3zb3JG0GionIBORQzLPxK4kZh7thyx+a8/8DvbQ5s9edYgqS9Rrf4I0TY3N9H+9wGxiOgfth9rldvbrCTNDnxMbNpcGFiQ2LY5FHiUSIw8Ul+EXUvSIpRKUNsL1x1PdyFpDeBg2/OWz48F5rD9kaT9gaWAn7V7wrFdZC9+SimllFJqS2XL88LAzsApwAZEa9cywL8lPShpB+BD23fZ/rB8XybPRk9jTtzWwHO2jwbGB94C7iUGtW8MLA7/NYeuKVXm4q0PPG97eWB/YrvolkTy7KfAXZImb/bb28wkTUlsYx9p+0aiNW8vYibYncTvhdnLsS019khSj6+b4Wj7HtubUZ6P7T63T9JYpeX6ZuAjSWsT1Xrn2f6oHDYuxDbhmsJMXaytnxQppZRSSql9lUqykcA/gFeIOTdzAGsRVWmDgH2B1yQdU1ugTaqSaPyMqOwD2JOYNzXM9k3AdcRWwFbyJDC4JMmG237e9g1EcuY3wBrNPEurmVWSQssQCdw3IZK3tp+2fTFwMJH0vaxcN6KOWDtSI2EmaZxyW78xedu4ve36RoGkaSHuB9uf2x4CnEW0868DTChpHkl/JN4AOLa+aFNXywRaSimllFJqVyMBbL9t+2CirXByoo3pUdvbA9MSs6yuhC+HwKfv5zrgx5I2ISqwzgeQNC7Rxvlg+bqp79vSrjotcAuwDbCtpJkk9S7Xf2T7cdu31hlnm2skjuYE5gX2lTR59YCS3H3Y9mddHl3n20/SOo0v2r3K7BucL+kLSSdImhvA9knAakSybCHizZW1gP1sX1lfqKmr5Qy0lFJKKaWUinLCtB8xD2lf4JIWPZHuUpK2IZYITEVUoU1AJNPGt73At31vs6jMfNuASLquTWxyvAi4hBhE/l62e3U9SZMCI2x/UKqxjiaSt9MAzwL3EAPhB9n+uLZAO1FZiHAM0Z56FnBsthH/r/I3YDmipX9hYh7eOcDptt8rMw57AX1tv1FfpKkOmUBLKaWUUkptpcw0WpVIaExMJHMeJgaKT2D7jTIsehPgQtsDagu2BUgay/YISbMC2wK/AF4EDJxs+9FWXMxQKuy2ALYnBtW/DvzW9qW1BtaGJB0FTAj8i0iSPVO2vC9DtBDPDoxFzOe7w/bfagu2E1QXVkjaGtid+J13jO1B5fKWew6OiUoifB6iGnlbIhE+JZFo/T9iEUgmUtpQJtBSSimllFJbkNTL9ueStgBOKxdfDXwC/JyYh/QksRnyM2AiomJqMdv31BByU2qciEuagZglNSfwHyJ5cZvtTyWN3SqVfZUT7l7E7LytiU2OLq1fSJqJqGi8wPbNtQXbhsr/l/2AJYmE+fPAE8RG2AdKVdrMwLLA6sBdtg9vtYSSpClsv1k+nwXYAZiM2DZ6R63BdROlOrFn+TtxHfAccC7wFLGhdQsioQZwqu1t6ok01SUTaCmllFJKqa1I2pOYUdWXSJ6dUf5NRlQZfAbMAvQjNnCeWlOoTUnSuLaHSRpAVPa8TVT39CGWCdxNzD17sBVaoCqJ2X2JBMyzwPJEwnA/YCHb59QZYwplk+LuwGLE4pA7gfuJTYsPA18A49r+uFq11awqyd05gTOJCrungfuA6YjfgzMCJwC/b2wabneS+hDJszWqb56UeYZ/A+YCjrJ9RU0hpprk0MCUUkoppdRuzgB+DRxInEBvBgwkhkK/bPsW26fZPgo4va4gm42k8SCGsJeLlgc2tr0csBJwKFHltwpxErp4HXF2tMpMs12Bo21vQFQ43QeMCxwn6Xd1xdfuJPUo878gZhs+A2wK7EwkdNcCBgDnAb9uzEBr9uQZ/NdtmBGYn6iyW41oTexPLLz4FFir3ZNnkiYr7f0AYwP3EtWkX7I9nPjd1Ye471KbyQq0lFJKKaXUlsrJ0pTEieQSRJKnPzGr6hLgPNvP1xZgk5F0APBb4BRiIPu6wJm2bx/luKmBNYGLbb/VIpU+iwFn2Z5N0ozAv4F5bT8v6RBgDmCjVh1Q3wzK8/0jYNnG3K9y+cTE831OYGfbA1qtfRNA0lTAb4gimquJGZA9iKq76Ww/1aimrDHM2ki6Eti6URVbloGcCFwBHGn735LmJ5KvK9qeu75oU12yAi2llFJKKbUl2yNsv2L7VuBIohLtN8RspA2Bf9QXXVMaSFRnLEIM2t4I2LdsQPyS7ddsn2j7rfJ1UyfPijeAjyWtSsxJGlxJvj4FzJHJs9pNCgwC5qleaPs94AhiQPxN5eKmf0yWeV6Nz8e2/Trxe24ocA1wLDC97U9K8qxHGyfPNgaWLgtkegDYvoDYFDwz8KCk14FLgR8TbcCpDY313YeklFJKKaXUmhrVT7Y/JWbePCfpVqKda0Q5pm2rMkZXqdi5C7hLUn/iJHNBYG3gCUkPAOcTW02HfcuPajrl8fGspNOAfYjbvXeZo7Q0sCVwZZ0xJijJkUHAIZLGB26y/XC5ej5Att9phYrIogcwUtIxQF9JHxAzH28gNsMeDJwtaX/b17XIbR5T2xFJf4j2zeGSNiMqkn9OLBCYm2jJvrD8vUhtKCvQUkoppZRS2ytzkhqVB0NtP2z7sfJ1Js++23SSflE+XwKYkNg6uSrR1vk68HvgaUkDymbEptR4nJQEWfXx8XfgKiIReyRwF3AWsfXx8C4PNP0P2/sQA/PXBg6WdIWkp8vXfy6HNe1js6rSgjoUGB+YgGhTPZ94Tj5LJHvng/+uWGsnkiYEFiWWLAA0ns/bAiPK34PHbQ8o1/2666NM3UXOQEsppZRSSm2jhapLuhVJ8xDtcUOBKYiFAQfablTxTUwMMl8OGGn76GaeMyXp50Sb73zEMPHDbL9auX5uYGFiztTgxv2Qulb1+V5aiaclFgcsTvz/6QMMAy4AHmvV3w2SepcB+I2vpyMSaq8Cn9ge3q6/GyXtDaxje6HKRt2pAQMLVNpbR0p6B9jG9sX1Rp3qki2cKaWUUkqpZVVOiOYH+tn+V7l8bGBFYAjwaJmDlAm2MWT738D4kg4D9iSqzdaSNIAYwv247YckLV2+hiadM1Uq7Y4kkmOXAysTbYG7EK1xkwMP2v57fVEm+Gq+nqTfAJsQyxwmBK4FTrJ9TY3hdZpKwmdlYibfQpImJzaO3mX75VG/p41/721CLJGAr34nbUk8h6vJsyWAPpk8a29ZgZZSSimllFqepL8DS9nuL2kFYDdgEqIK5Rpgc6Cv7RdqDLMpSdqL2ED5hqQFiLlfZxJJtA2JirS7gWeAVWxPUVesHUHSXcAttvctXy9ILJx4CZiNaFedFjje9sG1BdrmGhWOkuYFrgPOJh6XExKJzl8D5wDbtdJMq0rCZwbidt9FtK0OJp6bPwd6A/vb/qS+SOsnaRLgTeBeYoHEIOAO4H7gT7bPqhx7HjC27V/WEWvqHnIGWkoppZRSage7A49K6s1X1UMrEyeYjxHDoq+U9LP6Qmw+5ST9L5S5Qbbvt3207fds72l7WqJd7gVgamCv8n1NOWeqMi/ptPJ1D9uDgeHETKnZbS9AJGvWlzR9bcGmhi2A22zvbfsJ2/fa3oxI7q5AJD1bSeMcf0fgJdtbEQnd54H7gAeA9Yntkm3N9rvAeMAfid9TxxFvqEwLvCtpSkmN+3M14JhaAk3dRibQUkoppZRSyystmhsDImZx7QV8CiwJXERUHLwDrNmsyZ2a7ATcbPttSWMBlJPOzStD9u+zvZHtlYnEEkBTzj4DtgYetv1cqXAaKWlKYkvfYcBH5bjjiG1+U9YUZ9urzNf7nNhICYCkccrA/KuAp4Bluz66zlNZajERURUJ8Ty9qlTaXQ88TSz4aHu2P7V9ve3lgQWAU4jHxRHA0cAGZU7aJ2XTcGpjmUBLKaWUUkotrVFBYLuxje5poC+wOlEZ9Ug5sTwVWDi3bn4vmxInnPBVkmJfYLlqe5ikWSXN2khqNPG8pU2BeSXtSmwwBPgNsSjgyUrSZjpg6lKdlmrQSOgSM/d+IWlD+DJhMpL4XTAv8Eg5vtXOjc8DFpO0GNGqflS5fDhRfWZoyds9xkrl7Nm25yMqlJ8CDiSWopxaZ2ype8gZaCmllFJKqS2UE+rPiRadT4A5gTNt/0VSP2JO0Ni2f9lYPlBjuN2epEWBG4EpbH9cufwV4Le2L6rMY7oDuNf2bnXF2xHK9sIdgc2IGXo3AosR1WeHAT3K3K1zicfS+nXFmr4i6U9E8vNZYhbYS8RA/XFsL1pnbJ2hJMXGJloONyQKZ/YBniMSvrI9e30RNo9yX84NvGD7g7rjSfXKBFpKKaWUUmo5le2b6wOf2b60ct20wPHAIsDLxEygOYmWp43LtsielWqi9DUkXQC8Z3t7Sb1tD5e0HFH5ItsfluP6Aa8BP7H9RKvctyWBuD3RCjcOcDWxTOCh8m+VbPnqWpL6EgnNXxHJ8tNt3ydpHGJ4/mJEm96MxP+rc2w/2coJc0mrA2sQv++mIzZOnmz73la+3Sl1hkygpZRSSimlliXpRGAb4D3gMuBE2/eX69YkZqDNCbwIHGn76bpibTaSPiJmx+1i+8Fy2fnErKAtK0nMbYC9bf+oUZFWZ9ydQdI6wA7E42ksYIjtfvVG1X4k7UtUCL4NfAxMD+xq+8Jy/QTA8FbautlQeb5NCfyMGHp/LXCe7WFlgcoXQO9qxWhKafRlAi2llFJKKbWsUpEyLTHPZgNig+JLwMnAqbbfrjG8plXu142BdYFlgLeAc4hh5QvZfrxy7APARbb/LGks2yPqiLkrSBqPWDTwlu3z6o6n3Uh6B9iTSBz1Ip7nPYHVGo87STMDPwLGt31FXbF2tEZlp6RLgJ8QWzf7A1MBNxBVZy1ze1OqQybQUkoppZRSyytzbMYhtnCuA6wHzEbMQzodOMP28PoibD5lk2EfYFai2mU1Yij7s5QEZTl0CDCZ7Q9atQIt1U/SWsQcw2kajzFJcwKXA7sSVVnLAlMAkwM72D6x2R+TZdttH9vvljmPbxJvGDxJPD8XI+agLQdMTCQT/1lXvCk1s7G++5CUUkoppZSaj6TlbN8MUCoz+gHPENvoTiBaN9cHjgU2ApaqK9ZmVJIOHxNbDB+RdAowO/BLYC/gCGAk8GBJnuW8pdSZdgHOLUsr+pQtsLOWfwcB/YDrgVeJCrVHaou0Y+0B9Jd0KfAZcAfwShl4/wFwmaRriUrclYBBEAnwZk4cplSHrEBLKaWUUkotR9LPgQuJk+dhxAa+zYG5iKUBawIf2x5SlgqMbfv5TPL8cJJ6ERU+ixDD3E+2fWurt2+m+pT5Xh8AC4zSPnwT0AP4ne376oqvM0nagfj9NiUxy3EuYlHAIcBr1XlvmTRL6YfJBFpKKaWUUmoppbWwN3AFcCCwELAlUYUyBbAvMbfrBKJi5dx6Im19kvrmwPLU2SRtCpwB7A3cAjwMjAe8QGx/fbocNxbweSsmkUq76vLAJsSW0cHAQOA+4CngzVa83Sl1pZ51B5BSSimllFJHsj2yVF38jjh53AU4xPalxGygy20/S7Rz/kbSWCXplsZQmTH3PzJ5lrrIlcDhxAbOQeXrM4nE0cuNg2yPaKUkkqQFyjZhgPmAG2wvRFR+vkncH6cCRwOb1RJkSi0kK9BSSimllFLLkjQF8E+inekq4D1gRdv3SPoJcBGwtu2HawyzZTQSaba/qDuW1J4kLQjsDKwCTAIMIJ7ndxNVWJ/VGF6HkjQXcBox+2xJ4DDb+1Su701syt0SeNL2dtnGmdKYyyUCKaWUUkqpJUnqaftNSVcTJ5HTALZ9TzmkL7EdMpNn30O5X7+QNDex1XB64Gbg5mpyonFcTWGmNlIqSHuVCrPBRBsjklYjkmkDgFeAWyTtaHtIfdF2qGeBw4C1iQTayiWBeBtwhe1HgPMl3Qm8Xr6nB7HcI6X0PWUFWkoppZRSammS+gPnAwsQLV17A/MA6xFJn11ywP33UypbHiZmzT0OLAgYuBO4wPajNYaX2lipguxZfT5LGhfYBljV9kq1BddJJK1FtHA+RiS15yZmwL0MfAqsZzvHN6X0A2UCLaWUUkoptZTGJk1JMwAjbb9ULt+AqNRYmqjGOBG4yPY7WS01eir37Q7ATsSmzUWBC4DTgV8QGzjHBmax/XZtwaa2VzbCMupm3VZpY2zMbqzeFkl9gDmJ5+bixPPxWtvH5BsFKf0w2cKZUkoppZRaSuVkeT9gS0nXEcmd64ALS/vh+LaHVr4nk2ejp3E/rUHclx9ImonYeHoQ8BawBXCA7bdbJVGRuq/GY0zSOLY/rT7mqomzavKoFR6TlVbqmSVtAQi4B7gdeNT2/ZLOGaVd9fOv/WEppdGSZZwppZRSSqlV7QD8HBgCnEW0b54iaQlgWJ2BNaOSgBhZql7uA6YtV00FvAuMIBKVbxLzplLqCo0NurtLmvtbkmOtljxq3O4jiIR2X2Bf4GzgLEmbAQtLUuMbWiFxmFKdsoUzpZRSSim1PEkTA2sBuwNzAK8Cc9r+sNbAmlQZzn4ksDGwGLCE7V9Kmhl4AJi+hQa1p26qUn02FfGcfhBY3vb7NYfWJSRNSFR9LmF7sKQHiQUCcwArAP8hqkEvrjHMlFpGVqCllFIzP+N6AAAgAElEQVRKKaWWI2nGxvwjANvv2f47kUC7BtjD9odl4Hj6FpLGkfSUpN9LmgzA9lXAQsQJ+pvASpIuIqpf7rI9pHr/p9RJGo+xnYllFm8A20FUTJaPU5bHbss81xuzz4AVgYdK8mxmYrbj4WVRwr3AIKJ1vfo9KaUx1DK/RFJKKaWUUgKQNDlwCrC/pNXLMgEAbF9HbI58rnyds8++2/jAQKLa7E1Jd5f2sKG2h9i+ANinHPcAsFttkaZ202jL3Aw4BDge2FzS7JVh+dsDPy/zwlri/LfSivkSMLWkNYiW6vf4qrX6FuCtxqzHbN9M6YfLFs6UUkoppdRSJM1KzAKahUiWPQvcD7xAbKQ7BpjE9ke1BdlkSvXK5MBPgI2AVYE+wLXA32zfWl90qR1VhugvQlRa9SlLBK4EJgCWK+2dzwP72z67sUW2xrB/EEn9gC+q7dGSDgKeAO4G7gQ2Af5FVKCdYvuEZr/dKXUXmUBLKaWUUkotR9LYRHvX6uXfrMAkwLjAWbb3y5PKMSdpEmA14NfAssQcpoFEJdrrWe2SuoqkXYl5hluXr2cA7iAq0u4D7rbdu8YQO4ykE4AJiefao8C/ieUd4wLDgQuJxPZEwNTA7LY/rSfalFpPS5SwppRSSiml9tZozZI0taT9iWHiW9oeYHsjYB0i2bM48Mfybdm+ORoas5MkLS3peUl7AX1tn1VmLc1BVPUtA0ybybPUxS4Ddm18YftF4HDgl8ABRJXklzPRmpWk3sDywIZEO/Vvid9lqwFTlpbVPYn29BuAdUpFXp7zp9RBmvqXSEoppZRSSkVPIiF2IDAvMQvpSgBJixEJnk1tv9z4hkz0jJ7K/TSUSEasA+wq6VHgXOBC20cAR9QUYmpv7wBTSloAeM32k8DficfpasAS5bhmf75/QSQKDyFu013A9MQigRck3U9Upu1crazNOY8pdZxs4UwppZRSSi1D0pvAGrYHla97Ecm164FHbP9WUo9Mno0ZSRMQJ+3zESfuPy1XPQbsavupumJL7aPRfi1pPWBbYC6ijfFPwDnAp8AUwC62d6gv0o4naXxgJ6AfcBWRGNwAWJhYqvAicLPtU2oLMqUWleWcKaWUUkqpqVVaDKcFngHmaVxn+3PbnwFHAitImiaTZ99f4z4uWzcfL5s3fwfsTQxs/xQY8i0/IqUOU5JnvYnK0ptsT0Ukkp4H1gYuBt4nEk1fPn6bmaQeJXE4FDiLuL1nEsnsnYE1yuWTExtxyfbNlDpWPqFSSimllFJTK5v2eth+BbgN2ErSPKMc1gfoZ/vVro+weVVOwH8jaUlJE5eqPmy/ZftC4DTgn7Zfry3Q1DYqj8kNgPdsHyppTiKhdAuRPJsFWL3RvtgKSXPbI0visKftV23vA2xNzEXb1/brtk+2vTzRwg7N37aaUreSM9BSSimllFJTqbRv9QcWtn1e5QT5TGBJ4F5JNwLXAUsRVWnHle8fqwzcTt/B9heSJiKGsU8F3A+cL+kG4CVi0+lywCsQyY2cuZQ6U+Xx1QP4sHy+I3CL7XcAJF0NrEwkd5teSRpODgyx/XHZMtzT9q2S3gCOkHQt8CfbdzY2b7ZC4jCl7iQr0FJKKaWUUtOQtCKRtIFo31qyer3t/9heAlgT+IhobRoBHAT8Xznsc9Jos/2+7WmA2YnB5fsB9wFXALcD0xKJyxxYnrrS1cBwSdsRz/fTACT1ARYB7ilf9/rGn9AEyhKU/xBVZQMlDSZ+lx0v6RLgZ8DNxG2+WNJ8tQWbUovLCrSUUkoppdQUJE1FDM1egqiEWq78Q9LYtj+TtDZRiXI9sTjgf6qisirju0maDFgaWJXYvjkYuMv2LsAuklYGfgXcAVxie0hWn6WuZPttSScQlaWTAeuUTZzrAcOBk8qhzf6Y3BzoD/yI2C76HjAJMe/tA+AX5fMBRLVttlKn1ElyC2dKKaWUUmoKksYhKp3uB54GjrM9XWOrZqk0+QxY3PbdlaTa+sCNjfau9O0kLUksCFgJuJVITsxDJCWuBA60/WRtAaZUUdoZ1yW2cUI8Zi+y/WgrJHXL771fAdsAi1JuHzDY9n3lmD62P6ktyJTaRCbQUkoppZRS05F0KzDI9j6SxrH9qaTNgd8CP7H9eTmuP9F2OL3tYfVF3Dwk3Um0jB0BPGd7uKTxiZP43YCZiO2bxzV7ciI1j0YyTNKUwJ7AssAjRKXp7bZfbYWE2beRNCOwC7AR0A+4GzifuA/esv1RjeGl1PJyBlpKKaWUUmoKjVlGkiYg2gtPBGgMzCYqNC4uCwZ6lMu2Ap62PazZZyF1BUkzAQsSVWYuybOetofaPg1YgJg9tx0wd42hpvbTOHfdn5j79R9gRiLRe4WkI4FVJM1cU3ydzvYLtnezPQWwDPAycBTwGHBa5fdeSqkT5Ay0lFJKKaXULBqVJeuUz1eR9AQwCBgXmAPYoBzTk1gW8Gtg1y6Os5ntQsyQe7ls/vtyMUBplf1E0qHA2sBPiQqglDpdZXPucsCetq8GkDQr8bz/BbADUR35t1qC7EK27yYq0JC0ITBro5W9UYGbUupYmUBLKaWUUkpNoTL8/yVimcAmxFyuwcBswLPAK+XYzyUtDkxq+6LGZV0edPNZH/gTfPNGTdtDJV1EzGNq+URFql9lzuGPgIeAvo3rbD8NHAwcLGkJ4vfD/ywPaWW2z698nr/nUuokmUBLKaWUUkpNxfZNwE2SBKxGVELNDgwBDpL0MHATsD2RaEPSWJUKlvQ1yry4qYDVSpvs3cCTwBu2vxhle+mPgQfL92XFS+oqKxOtiwtK+gi4qTrb0Padlc/bInmWUuo6uUQgpZRSSik1la9L2EhagGjtXIyoTnkZWAtY1Pa97VSNMiYqFT6LAxsSGzh7EBtPbykfn7X9rqS+wAfAHLafbnxvbcGntiFpTWBeoo1zKuAN4E7gssZGypRS6iyZQEsppZRSSk2pDMzuUU2MSRoXWIFInk1ie6264mtm5b5dk9j2tyDwPlGRdjXRurme7dkyMZk6k6Q+Ze7efyVpJfUmnufLEtWQkwIfAqvZHlJLsCmllpctnCmllFJKqSmVE+qREPOOymXDiCTP1SWZ1lazkH6ocj/2KBV+lwGXSZqYGNK+HjHzbCZi2QDEsoa8b1NnuUrSdrafkjQDsCpRZfoRsA8wkKhEWwWYyPaQrIhMKXWWTKCllFJKKaWmVGk77AH/tS2yJzCyMRspk2ejb5Rqvl7E/fgecAJwQtl4uAZwajksZ5+lTiFpEmByYFlJbwMnA9MDA4ADgQuI5SGP2j65kTBPKaXOki2cKaWUUkqpaY06Dy2rTzpeSVD2BEZdJJBSp5K0HtE+vCCwiu2lJK1MJHR/AvyOWCKyvO2P64s0pdQOsgItpZRSSik1hUrFWU9ikPjqwKSShhJbN2/NarPvrywOGMv2bV93fUmafV6OzXbY1GVsXwQgaW/g+nLxTsANtj+QdDkx73BlouU4pZQ6Tc+6A0gppZRSSmk09SoftyFaCDchWrrmBg4F9qsprma3KXCrpCckHSBplm86MJNnqSuVNmKAK4GFSvJ8ceB4ANv3EkUhn5Xj8/w2pdRpsoUzpZRSSik1FUkvA4fb/r/y9XzEEPE/AH+wfXSd8TWjMttsQ2BzYBrgTuAfwKW2364ztpQkzQOcC/QF+hGLBN4AdgV2tj15jeGllNpEZuhTSimllFLTkDQbMIwYJA6A7Ydt/xn4P2AxSX3riq8ZSRrL9tPAhcDlwEtEcuJA4GVJl0paUdJ4NYaZ2pjtfwNrA/8CniMq0t4Cfg7sCf9VrZZSSp0iZ6CllFJKKaVm8j7wDjEHad9RrrsH2CCHiX9vjZaUU4AHgcVsvwUgaTngJGL+1GBg4VoiTG2lMWtP0gREtdlcwADbW0maAxDwMfCM7WfKt2V7cUqpU2UCLaWUUkopNQ3bb0q6FNhQ0mvAQOBdYGpgC+B2+LKqakR9kTYP259LGguYCLi/kjzraftmSYcCKxEVfnnfpq7Qo3w8BliOmH94mKR/Exs4Lxg1UZ4bYlNKnS1bOFNKKaWUUrM5AbiGWBwwkJiNdAexKfLAckxWo3wPJSF2KbBrY4lAZWHANcDywDOVY1PqNCWpOw6wDjHnbDlgBeAu4ADgbUmPlWq0lFLqErlEIKWUUkopdWuSetgeKWliYEpgbOA/RMJsZWA24CHg37bfqy/S5lO5b2cjKtCOByYGzgJuAOYl7uMZbC/caK2rL+LULiRNQ1Sg7dNo0yzzDScHFgA2Bnay/XJ9UaaU2kkm0FJKKaWUUrcnaVxiccBKRCXUf4hqlIHEHKSPy3E9spVr9FSSZzMAVwCLE/PQ9iC2cU4JvEDcz8fbfkhSL9uf1xZ0anmVx+W0REK3F7Cb7acqx/QExs15hymlrpQJtJRSSiml1G01EjaSdge2AvYC+gKrAHMAnwFPAI8QSZ5sLxxNlft2PeK+XcP2sMr1UwMT2f5PbUGmtjJK8uwhosr0fWJhwNPAjcDVtl+tMcyUUpvKJQIppZRSSqnbqlQ7TQGcbvuq8vWFkmYEVgXWBj63PSIr0EZf5b5di0hGrgRcWbn+NeC1vE9TF+pBVEFuSiTQNgZmJra//rh8vaWkR4HfZDVkSqkrZQItpZRSSil1a5ImBaYD5gaObFxu+wViocAJkiYpFzdOwNNokDQh8DyRQLtc0j3AGcA/bH8Iud0wdZ3KfL1PgcG2XwdeB+4qM9HmBZYGPijVkzmTL6XUZbKFM6WUUkopdWuSlgP+SiTQ7gBOBC7KE+cfptIu1wcYH1iGaI1dnGiTfRA42fY1NYaZ2oykmYDjiM2b+xEtmx7lmL62P87qyJRSV8oEWkoppZRS6vYk9QeWANYA5i8X3wBcaPvmPJEeM5ImI9rj3rB9f7msP7AssCFwh+39stIndSZJ8wK2/amkHwE7Ec/zyYjZZw8A9wOP2H6lvkhTSu0sE2gppZRSSqnbqVRH9SfmHp1v+4ly3XzACpV/S9seVF+0zaWyPGBJotJnPGJI+0vAzcBltp8rmw7Hsf1JJihTZ5E0PfBPYNFSVTaV7dcljU1Uoa1FJNOGEwsFjrF9c30Rp5TaVc+6A0gppZRSSmlUlWTN/MDqwDmSLpO0FfC67aOAdYFlMnk2xv4IPAVsVD7OCfwCuF7SzcDutj+BnIOWOoekHsBbwH4lebYsMEjS4UTybJDtbYnH5SnEDO9XK9+bUkpdJivQUkoppZRStyVpfGL22fzAQsSw+3GB24HbgCttf1ZfhM2pzD17HVjYtiVdwv+3d+9xn891/scfczBGqxIWOUQnr1intCo5RCUk2ZBCicIWy1bbLW3tr1os3bRF+kmplaiQTn4KkVAOkUPRwdMgx4p2hzaHcZr5/fH+XN2+pjEN5ro+3+u6Hvfb7br5fj+H63rN3D5mbt/nvN7vV9tf7nLgZFqnzyeSnDTSsdZjuZokqmol4L3AlsCzacHuecC5wNX+vy6pTwZokiRJGheqagVgfWAnYF/gZ8CbktzYa2HjUFWtBRwP7E1bunkc8JUk362q/Whh5buTzOmxTE1w3XLsq4HPASckuXzg3Ma05duvoU3W/R3wviRX9VGrJE3vuwBJkiRp0MAeXWsAt4wsH0xyF3BuVf2Utm/X2YZnT9p1wBzgQ8CHab+fI0vilgTWSDLHvc80ym4E3gfsSFu6eQvwVeDL3dLsSwGqakdgL1rXpCT1wg40SZIkDZ1uieF9wC9pnVLfSHLbwPnTgXOSHGPI8+RU1dNpk01/QFu6OQv4OnAo8PkkR7l8U2OlqtYEdqXtyfc84Ke05/BLvRYmSR0DNEmSJA2Nge6z1YFVaJuHvw1YEbgA+DZtT7R9gecluc0AbdEM/j5V1QpdR9/IuU2B/wDWBM4H9kryYD+VajLrpr++jNZx9ibgN8AuSW7otTBJk55TOCVJkjRM5nb/PQvYIMmHaN0oWwN3AQfT9ufavwvPphqeLZqB8OyfgG9X1R1V9YWq2jDJRbSwcl3g7UkedMqh+pBkbpJLk+wLvBR4GHhtz2VJkgGaJEmShkeSeVW1PPAgbfIeSR5Ocn6Styb5W2DrJMd1txieLYKuq4eqehnwcdoeaEcCawM/raobgXcBM5M8bDCpYZBkFnANsBm0Lsp+K5I0mRmgSZIkaShU1bTu5SuAmcCnq+olVbXE4HVJ7h54bcizaEZ+n3YBTkvyTuCTwOtoXT5fBfYHroXWBdRHkRJAVa1RVbtU1e7AtsA3u1N+fpXUG/dAkyRJ0tDoOkzeD2wPrEab0ncZbUPxq5Lc2mN5415V7QX8PfD+JA8MHJ8GLAcsk+R6hweoT1W1GfBd4F7gmCSH9VySJBmgSZIkqX9VNSPJQwPvpwKvBHagBT4zgBu6ryMHu9C0aKrqlcC3gGcBH6HtM3dDkj/2Wpg0n6qaCSxJ65y8N8lch4VI6psBmiRJknox8oG4ql4F7AxsTgvIDkly5cB1SwKvAXYHlkuydS8Fj2NdZ98MYDdgK1o4+QfgQtrUzeuAm5PM6a1ITWrdvnsuHZY0tAzQJEmSNOZGPixX1fNpnVDXAT8BNqF1nrwZ2ANYHfgdcFQ3GXLZJLP9sP3UVNUzaaHlnsCqwJ+Adye5uM+6pK77dIpLiCUNm+l9FyBJkqRJaSowl7bfWZK8AaCqVgNOpYVqK9DCs9WB9apqnySzwU3uF9VAULkMsCut+2wKbW+5U5NsVlUbAHsDs3osVZNQVT0bWBfYCLgdOD3JPf1WJUkL5hQTSZIkjbkkj3QvdwU+D1BV05PcBtwMPABskmRj4EPAFsA6Y1/phPFFYC/anlK300LJz1fVvyT5WZJ/SnJXrxVqUhiZtltVWwEnAd+hdZ4eCFxaVR+qqhk9lihJC2SAJkmSpDE18AF6C1oX2rnwmFBtK+CIJHd0779GC33W7O6bMpb1jlfdHnNzq2oNYFtg7yQ7JTmAFkqeBnyiqnbus05NOiN7CH0C+DnwQtpS4v1pz+RewC69VCZJC2GAJkmSpDE1sLfRbsAywEer6tUAVfV6WvfZDwZueQawPnDBGJY5kbwMuAL45ciBJLOSHA4cT+v+kcZEF+quCDwbODbJHUnuSvKTJB8BLgXeWFVL9VupJD2WAZokSZL6ciDwHmB74Nyquhw4BvgxMG+kUw14K3BTktu7Pb2cgrUIBn6ffga8ANiv26B90P3Ac+HPm7dLY+VXwGsXcPyLwIa07lRJGhoOEZAkSVIvkswBjgaOrqrVaUu43kjbF21F4OtV9T3gncCx3W0jwwe0iJKkqk6iDQpYuqrOBeYAGwA7AO/tLnVprMZEkjur6mfAgVV1L20C7yxgKeAtwM3d1N1pTuOUNCymzJvnP+BJkiRpeFTVy4EDaOHODNo/+i6V5MFeCxvHquppwLtoU0/n0aabrgp8NsnBfdamyamqlgCOAzYFbgDuBl4NXA/8W5ILDdAkDRMDNEmSJA2tqtoJWC3JUd2Uzkf+6k36s6pajrYH2trA5Ul+VFUb0faVu25kUEM3cMAPBho1g89YVW1N6zJLF5i/GngWcCvwvSQ39liqJC2QAZokSZI0gYx07XRB2b8B6wHXAa+iTTxcC7gkyZ96LFOTVFWdQBtc8e9JvtI9p0+nPZNzei1OkhbCjUIlSZKkielw4LdJngv8GjgbeAh4H214gzQmRgaCdB2lW9KWE3+/qvYDfgR8G/hVVa3aX5WStHAGaJIkSdIE0nWfLQWsCxzfHd4B+HaS3wOXATtU1Sp91ahJZ2TZ0y7AN5OcB2wF7EMbEFK05Zub91OeJP11BmiSJEnSxDOdNtnwhVX1AtoSuW915/4LWA14uKfaNMkkmVtVU4DbgHW6TrRPAVcCH++C3anAGgBV5edUSUPHP5gkSZKkCabb3+xC2tTNbwA/T/K/XWfa/sDvk9xlUKGx0g0QOA5YBjgMuIW2nHhKVW0GrA+c3F3uRt2Sho5/YUqSJEkTUJJPAacAc4GnVdVZtNDiFcD/6S6b0lN5moSSXA+8ibaUc2NgOeA/gROAE5P8pqqmOhFW0jByCqckSZI0gVXVhsA2wAzgD8BZSW7qtypNBlU1Jcm8qloS2AhYB5hN64hMVT0T2AmYBVyZ5P4uQJvbY9mStEAGaJIkSdIENBJeDLw3mNCYqqrpSR6pqgOAD9OWZs4CHgBupE2GvSjJ7B7LlKRFYoAmSZIkTWAjwVk3TOAg4KNJftt3XZo8qur3wMHA6bSJm1vSpsQuQxt4cVySE/urUJL+uul9FyBJkiTpyauqtwHXArOS3DffuSkDExBfB7wzyT591KnJZWD55jOBM4ALk9wB3AH8sKpWpu3Htx3wy+4euyQlDS0DNEmSJGmcqqpnAV+gLY27sKpOoU3fvCPJQwNLOJ8B7Ah8ubtvepJH+qhZk8YU2nO5D/Ba4FHgXSMnuy7Ib3RfI8cMzyQNLQM0SZIkaZxKcjcws6o2A/4Z+BxwH/C9qjoVuII2OGBNYBPgA92tBhUaVQNh2MPAb4F3VtVLgWOALxvgShpv3ANNkiRJGqeqalqSR+c7thuwH2153M3At4DlgC2TrDHWNWpyq6qpwExgY+CNtE7I5YEzgf9KckaP5UnSIpvadwGSJEmSnpyR8KyqplbV9O7Y15JsCixL60jbFng7cEp3ratQNJbWBzYFZgOfpgW7e9CWFR/WY12S9IT4l6ckSZI0znXL5eZC60rrjt0DHAEcUVXPBe7qLn90gd9EWoyqagbwCeANtDB3HvBz2vLN44FTqmq57tq/6KSUpGHjEk5JkiRpAuomb04D5o5M4hwYKiCNipEwrKoOBN4NfCzJqVW1DrA/8A7ghCT/2GuhkvQEGaBJkiRJ40xVbUMLJ44ELk7ycM8lSUALbpPMq6ofAv8vyVHznX87cBCwTZJbeylSkp4E90CTJEmSxp+HgefQNmK/oaqO6Dp8pF514dkM4Fbgz89kVc3sBgqc3h36u+74lLGvUpKeODvQJEmSpHGqqlYF3tZ9FXANcALwzSS391iaJqmBDrRdaEMs9k9y8sD5jYELgGclub+nMiXpCTNAkyRJksaRqvog8Pwk+8x3fAPa/lJvom3afh7wdeAkN2jXaKqqmcDetOD2d92xacChtKXG9wA/Bh4BNgZ+mGQ/hwdIGk8M0CRJkqRxpKq2BqYmOauqjgaeCxyS5PL5rtkPeHGS5/RUqiaJrqvsYuA+4EfAl4AzkjxYVRsBr+y+ptC60n6c5I9VNbWbICtJQ88ATZIkSRqnqmpPWofPi4H/Br4MfC7JLd35JZI8bKePRltVLQlsAewDbAM8BHwDOB64KslD/VUnSU+dAZokSZI0zozsMzXwfl1ge2A3YG3aXmhfBf4T2sbufdSpyamqlgV2oC3rfDnwG+AU4NQk1/ZZmyQ9WQZokiRJ0jgyGJ5V1ebA6rSAYhbwILAesBfwgiSb9VaoJoX5nse/6HSsqjVoQy52BtYFKsmsMS9Ukp4iAzRJkiRpnOk2bf80MBKQvQhYH1giyVXdNUsnudd9pjTaqmqZJPd0r5+Z5I/d62WTzO5erwAsneSmHkuVpCfNAE2SJEkaJ0Y6fKrqPbSunj1pXWeX0AK0zwAzgO1dtqnRVlUbAofTOiA3oj2L9wCrAncDc4CVgdnAGsAHk5zcS7GS9BRN7bsASZIkSYtspJNsJ+Dkbj+pjwDfT3IH8EVgLWDDnurT5LIlsBXtmTsJ+Gl3/GJgGm2owK3AXcDVwLnQln2OdaGS9FRN77sASZIkSYsmybyqmg5cCzy/O7w1rRsN4GxaF9BzgCvnHzYgLWZfApYH3gisAnwgyYMAVXUs8CfgzUnuHbzJZ1LSeGQHmiRJkjTEBrt1qmp6kkeArwOvqqqvAQ8kObuqpgLb0pbKnQkGFRpdSWYn+VfgGNoU2K9U1fLd6R1pUzfv7Z5NSRrX3ANNkiRJGmJV9TfAu4EvjGzO3h3fFziQNoXzCuB+4AXAd5IctKCJiNLiNN8EztcDR9O6zs4DdqdNhP2DQywkTQQGaJIkSdIQq6qNgfO7t5cBxyY5pTu3PLANbRrnTOALwJVJHnD6psZaVa0HHEnbG+3cJFv3XJIkLTYGaJIkSdIQ65Zwrgi8BNgV2A5YEjgd+EySS3osT3qMqloW+CCwP22oxYfn3wNNksYjAzRJkiRpnKiqmcBKwKuBnWmdZ7OBY4HTktzg4AD1ZeTZq6qlgX8BPgB8Ocl+PZcmSU+ZAZokSZI0pEYGCCwoEKuqlwDrAEcAf9sdXjPJDWNXoSarkcEAC1smXFXvAFZMcrh78kka7wzQJEmSpCFWVU8HpgMbdl9rApsAM2gTN68Frgd+neRj/VSpyaKq1gZuS/KngWOPCdPmGy4wLcmjdkZKGu8M0CRJkqQh1AUVHwaWAbYA7gbuA24HLgJuA74PPJTkzoH7DCo0aqrqO8BzgAuAM5KcP9/5acBcn0FJE40BmiRJkjSEqupw4KDu7XeA7wLfGwzLBq51eZxGXVXNAP4B+DtaN+SqwP8AFwKnJ7lm4NrHXX4sSeORAZokSZI0hKpqSeB1wJuBjYGbgWuA84AAtyS5v7cCNWlV1RLA6sD6wCuBdWmdkrfQuiLPSHJ7fxVK0uJngCZJkiQNuapaBdgd2BFYBZhF6/q5CLgxyc39VafJqKo2BK5Pcm9VrUkL0l4BvBBYATghyWF91ihJi5MBmiRJkjSOVNV6wB7ANsDTgauAnRY2DVF6qqpqe2DTJAdV1QrAmbR9+C4HzgGupg272ADYDvhhkguraqrPpqSJwABNkiRJGqeqajtgjSTHuA+aRlNVvQX4CLA1baDFHrS90ApYgjbc4jzgB0lu7atOSRotBmiSJEmSpIWqqqWBQ4CjktwycPzFtOWbrwY2oQVpxyT5fC+FStIoMUCTJEmSJD0l3YTOrwEPAwcludXlm3ugHj0AAAZ3SURBVJImkql9FyBJkiRJGm7d5E2q6tNVdXpVbTR4PslDwFeAeSNLOA3PJE0k0/suQJIkSZI03JI83L28GngZcHFV3QWcCBxDG2hxIHAHgHvySZpo7ECTJEmSJC2SJCckeTnwYuCLwBtp0zh/ATwNOKy71L2CJE0o7oEmSZIkSXpcVTUlybyqWg7YnLbP2ZkjSzSrah3gecC1SX7TY6mSNGoM0CRJkiRJC1VVTwO+D6wCzAWmAOcAX01yUZ+1SdJYcAmnJEmSJGmBqmpa93I/YEVgd+CQ7vVqwHer6tqqOqOqluypTEkadQZokiRJkqTHMzJJcxfg6CSXAisApwHvBs4Cng38KsmDVeVnTEkTkn+4SZIkSZIWqNv7bCZtUMDTusMrAdcluY02NOAS4LPdOfcIkjQhGaBJkiRJkhaoqqYlmQNcDOxeVc+l7X+2YnfJVGBj4HfQArdeCpWkUWaAJkmSJEn6C1W1RJJHAZJ8CjgQ+C0wG9ihqt4K/DtwRZKHBvZLk6QJxwBNkiRJkvRnVbVWVf0HcF1VXVZVbwFIcmGSB4HP0JZtfqa75aCeSpWkMTNl3jw7bCVJkiRJTVWdQ5uweR6wDPAPwD5JTp7vumWTzO6hREkacwZokiRJkiQAqupFwJXABsCNwFLAl4CpSXauqqVo4do6wJbA+Um+1Ve9kjRWXMIpSZIkSRrxz8AFSWYBJLkP+L/A5lX1XuDXwDXAicA+wCyAqprST7mSNDam912AJEmSJGlo7Aq8uXs9A5hDW8K5PLANcCZwLm2YwJVJHgGnb0qa+FzCKUmSJEmiqjYHzgaeB9yVZG53/E7gSOCIkWMD90wxPJM0GdiBJkmSJEkC2BaYCXwUuKKqzgVeDsxJ8vGRi6pqWpJHwc4zSZOHHWiSJEmSJKpqBrAL8BZgfeA2YBXgWmB/WlfaA/1VKEn9MUCTJEmSJD1GVa0M7Aa8DngRcB1wIXARcGOSm/urTpLGngGaJEmSJOlxVdV6wB60IQJPB64Cdpp/PzRJmsgM0CRJkiRJi6SqtgPWSHLM4F5okjTRGaBJkiRJkiRJCzG17wIkSZIkSZKkYWaAJkmSJEmSJC2EAZokSZIkSZK0EAZokiRJkiRJ0kJM77sASZIkSdJfqqoNgG8BKwE7JTnrca7bEzg0yapVtQVwPrBEkkfGqlZJmugM0CRJkiRpOH0MmAW8Criz31IkaXIzQJMkSZKk4fRM4JIkN/ddiCRNdgZokiRJkjRkqupmYHVgi6ravXv9wiQ3dOc/BrwmyaZP4WfsCewNnAMcADwCnAq8L8ncqloCOAzYFVgR+C3w8STHDtR4GLAPsA7wI2Bf4EhgGyDAbkl+3V2/KfApYF3gpu57nfRk65ekseQQAUmSJEkaPhsBlwJHAW8axZ/zUmBtYDPgw7Qgbevu3EHAG4CdgQJOAD5TVSsP3H9wd99mwN8DVwNnd9/3UeBQgKpaCTgT+CotQDu4+17bj94vTZIWHwM0SZIkSRoySf4APATcB/xhFH/UdOAfk1yX5Hjg57TwDuAXwN5JfpLkJlq32TRamDbixCTnJLkCuAC4NslxSX5BC8te1F23P3B+kk8nuSHJqbROtfeM4q9NkhYbl3BKkiRJ0uT130n+OPD+f4ElAJJ8p6q2qqpP0oKwDbtrpg1cf9PA6weAW+Z7v2T3ei1g26q6d+D8dEY3HJSkxcYONEmSJEkabvMWcGxxNUM8tIBjUwCq6lDga7S90U4CXr6Aax+Z7/3cx/k504GTgQ0GvtYBNn/iJUvS2LMDTZIkSZKG20jI9YyBY88bg5/7LuCAJCcDVNXa3fEpT+J7Bdh8ZAhC9/32B1am7aEmSUPNAE2SJEmShtudwG3Ah6rqA8AmwHbAtaP8c/8HeH1VXQY8Gzi6O77k49/yuD4LHFhVhwPHA+sDRwDvXxyFStJocwmnJEmSJA2xJHOBd9KWPP4K2A04ZAx+9DtoEzN/CZwInAb8BHjxE/1GSW4BXg+8hjac4JPAR5Mcu9iqlaRRNGXevAUtp5ckSZIkSZIEdqBJkiRJkiRJC+UeaJIkSZI0wVTVRsD5C7nkniSrjlU9kjTeGaBJkiRJ0sRzDbDBQs4/OlaFSNJE4B5okiRJkiRJ0kK4B5okSZIkSZK0EAZokiRJkiRJ0kIYoEmSJEmSJEkLYYAmSZIkSZIkLYQBmiRJkiRJkrQQ/x9OgRB4bpZdhgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1296x936 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 2, figsize=(18, 13))\n",
    "plt.tight_layout(6)\n",
    "\n",
    "axes[0, 0].set_title('Number of players in the 2018/2019 EPL season across various continents')\n",
    "sns.barplot(continents_data.index, continents_data, ax=axes[0,0])\n",
    "axes[0, 0].set_xticklabels(labels=list(continents_data.index), rotation=30)\n",
    "\n",
    "sns.barplot('assists_overall', 'full_name', data=top_assists_midfielders, ax=axes[0, 1])\n",
    "axes[0, 1].set_title('Top 5 Midfielders with most assists')\n",
    "\n",
    "sns.scatterplot(data=football_stats_df_clean, x='assists_away', y='assists_home', ax=axes[1,0])\n",
    "axes[1, 0].set_title('Distribution of midfielders home to away assist')\n",
    "\n",
    "sns.barplot('full_name', 'minutes_played_home', data=highest_minutes_played_continents, ax=axes[1,1])\n",
    "axes[1, 1].set_xticklabels(labels=list(highest_minutes_played_continents.full_name), rotation=70)\n",
    "axes[1, 1].set_title('Players with most minutes played across each continent in the 2018/2019 EPL season');"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:root] *",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}