google_trends.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pytrends \n",
    "## Allows simple interface for automating downloading of reports from Google Trends\n",
    "https://pypi.org/project/pytrends/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pytrends.request import TrendReq\n",
    "from pytrends import dailydata\n",
    "import pandas as pd\n",
    "import matplotlib \n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ETH Google Trends"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Execute the TrendReq method by passing the host language (hl) and timezone (tz) parameters\n",
    "pytrends = TrendReq(hl='en-US', tz=360)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Build list of keywords\n",
    "kw_list = [\"ethereum\"] \n",
    "\n",
    "# Build the payload; Pull ETH Google trends daily data for the selected time period\n",
    "eth_coin_trends_1Q = pytrends.build_payload(kw_list, timeframe='2021-01-01 2021-03-31')\n",
    "eth_coin_trends_1Q = pytrends.interest_over_time()\n",
    "eth_coin_trends_1Q.to_csv('resources/eth_google_trends/eth_google_trends_1Q.csv')\n",
    "eth_coin_trends_2Q = pytrends.build_payload(kw_list, timeframe='2021-04-01 2021-06-30')\n",
    "eth_coin_trends_2Q = pytrends.interest_over_time()\n",
    "eth_coin_trends_2Q.to_csv('resources/eth_google_trends/eth_google_trends_2Q.csv')\n",
    "eth_coin_trends_3Q = pytrends.build_payload(kw_list, timeframe='2021-07-01 2021-09-30')\n",
    "eth_coin_trends_3Q = pytrends.interest_over_time()\n",
    "eth_coin_trends_3Q.to_csv('resources/eth_google_trends/eth_google_trends_3Q.csv')\n",
    "eth_coin_trends_4Q = pytrends.build_payload(kw_list, timeframe='2021-10-01 2021-12-31')\n",
    "eth_coin_trends_4Q = pytrends.interest_over_time()\n",
    "eth_coin_trends_4Q.to_csv('resources/eth_google_trends/eth_google_trends_4Q.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "eth_trends_1Q = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_1Q.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_2Q = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_2Q.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_3Q = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_3Q.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_4Q = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_4Q.csv', parse_dates=True, index_col='date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>ethereum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-02</th>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-03</th>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-04</th>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-05</th>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ethereum\n",
       "date                \n",
       "2021-01-01        30\n",
       "2021-01-02        41\n",
       "2021-01-03        80\n",
       "2021-01-04        95\n",
       "2021-01-05        76"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eth_trends = pd.concat([eth_coin_trends_1Q, eth_coin_trends_2Q, eth_coin_trends_3Q, eth_coin_trends_4Q], join='inner', axis=0)\n",
    "eth_trends = eth_trends.drop(columns='isPartial')\n",
    "eth_trends = eth_trends.sort_index()\n",
    "eth_trends.to_csv('resources/eth_google_trends/eth_google_trends.csv')\n",
    "eth_trends.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read in daily ETH Google Trends data from 2016-2021\n",
    "eth_trends_2021 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_2020 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_1.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_2020_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_2.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_2019 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_3.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_2019_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_4.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_2018 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_5.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_2018_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_6.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_2017 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_7.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_2017_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_8.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_2016 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_9.csv', parse_dates=True, index_col='date')\n",
    "eth_trends_2016_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_google_trends/eth_google_trends_10.csv', parse_dates=True, index_col='date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "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>ethereum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-12-27</th>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-28</th>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-29</th>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-30</th>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-31</th>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ethereum\n",
       "date                \n",
       "2021-12-27        57\n",
       "2021-12-28        56\n",
       "2021-12-29        59\n",
       "2021-12-30        57\n",
       "2021-12-31        53"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Concat dataframes into one, keep only needed column and sort date index\n",
    "eth_trends_combined = pd.concat([eth_trends_2016,eth_trends_2016_2,eth_trends_2017,eth_trends_2017_2,eth_trends_2018,eth_trends_2018_2,eth_trends_2019,eth_trends_2019_2,eth_trends_2020,eth_trends_2020_2,eth_trends_2021], axis=0)\n",
    "eth_trends_combined = eth_trends_combined.drop(columns='isPartial')\n",
    "eth_trends_combined = eth_trends_combined.sort_index()\n",
    "eth_trends_combined.to_csv('resources/eth_google_trends/eth_trends_combined.csv')\n",
    "eth_trends_combined.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read in eth coin metrics from csv\n",
    "eth_metrics = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/eth_annual_metrics/eth_metrics_1.csv', parse_dates=True, index_col=\"time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "time\n",
       "2021-01-01 00:00:00+00:00     730.914321\n",
       "2021-01-02 00:00:00+00:00     775.296622\n",
       "2021-01-03 00:00:00+00:00     990.365325\n",
       "2021-01-04 00:00:00+00:00    1030.318449\n",
       "2021-01-05 00:00:00+00:00    1101.559814\n",
       "Name: PriceUSD, dtype: float64"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pull ETH prices from csv file\n",
    "eth_price = eth_metrics['PriceUSD']\n",
    "eth_price.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fbc6f55cb90>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot ETH price vs Google trends\n",
    "fig, ax = plt.subplots(figsize=(12,7))\n",
    "plt.plot(eth_metrics['PriceUSD'], label ='ETH Price', color='r')\n",
    "ax.set_ylabel('ETH Price ($)')\n",
    "plt.xticks(rotation=45)\n",
    "ax.legend(loc='upper left')\n",
    "plt.grid()\n",
    "\n",
    "ax2 = ax.twinx()\n",
    "plt.plot(eth_trends['ethereum'], label='ETH Google Trends', color='b')\n",
    "ax.set_title('ETH Price vs Google Trends')\n",
    "ax2.set_ylabel('ETH Google Trends') \n",
    "ax2.legend(loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## BTC Google Trends"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Build list of keywords\n",
    "kw_list = ['bitcoin'] \n",
    "\n",
    "# Build the payload; Pull BTC Google trends daily data for the selected time period\n",
    "btc_coin_trends_1Q = pytrends.build_payload(kw_list, timeframe='2021-01-01 2021-03-31')\n",
    "btc_coin_trends_1Q = pytrends.interest_over_time()\n",
    "btc_coin_trends_1Q.to_csv('resources/btc_google_trends/btc_google_trends_1Q.csv')\n",
    "btc_coin_trends_2Q = pytrends.build_payload(kw_list, timeframe='2021-04-01 2021-06-30')\n",
    "btc_coin_trends_2Q = pytrends.interest_over_time()\n",
    "btc_coin_trends_2Q.to_csv('resources/btc_google_trends/btc_google_trends_2Q.csv')\n",
    "btc_coin_trends_3Q = pytrends.build_payload(kw_list, timeframe='2021-07-01 2021-09-30')\n",
    "btc_coin_trends_3Q = pytrends.interest_over_time()\n",
    "btc_coin_trends_3Q.to_csv('resources/btc_google_trends/btc_google_trends_3Q.csv')\n",
    "btc_coin_trends_4Q = pytrends.build_payload(kw_list, timeframe='2021-10-01 2021-12-31')\n",
    "btc_coin_trends_4Q = pytrends.interest_over_time()\n",
    "btc_coin_trends_4Q.to_csv('resources/btc_google_trends/btc_google_trends_4Q.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "btc_trends_1Q = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_1Q.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2Q = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_2Q.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_3Q = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_3Q.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_4Q = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_4Q.csv', parse_dates=True, index_col='date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>bitcoin</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-02</th>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-03</th>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-04</th>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-05</th>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            bitcoin\n",
       "date               \n",
       "2021-01-01       42\n",
       "2021-01-02       67\n",
       "2021-01-03       78\n",
       "2021-01-04       69\n",
       "2021-01-05       55"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "btc_trends = pd.concat([btc_coin_trends_1Q, btc_coin_trends_2Q, btc_coin_trends_3Q, btc_coin_trends_4Q], join='inner', axis=0)\n",
    "btc_trends = btc_trends.drop(columns='isPartial')\n",
    "btc_trends = btc_trends.sort_index()\n",
    "btc_trends.to_csv('resources/btc_google_trends/btc_google_trends.csv')\n",
    "btc_trends.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read in daily BTC Google Trends data from 2010-2021\n",
    "btc_trends_2021 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2020 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_1.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2020_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_2.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2019 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_3.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2019_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_4.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2018 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_5.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2018_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_6.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2017 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_7.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2017_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_8.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2016= pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_9.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2016_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_10.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2015 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_11.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2015_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_12.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2014 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_13.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2014_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_14.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2013 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_15.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2013_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_16.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2012 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_17.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2012_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_18.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2011 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_19.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2011_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_20.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2010 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_21.csv', parse_dates=True, index_col='date')\n",
    "btc_trends_2010_2 = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_google_trends/btc_google_trends_22.csv', parse_dates=True, index_col='date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>bitcoin</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-12-27</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-28</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-29</th>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-30</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-31</th>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            bitcoin\n",
       "date               \n",
       "2021-12-27       45\n",
       "2021-12-28       45\n",
       "2021-12-29       46\n",
       "2021-12-30       43\n",
       "2021-12-31       41"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Concat dataframes into one, keep only needed column and sort date index\n",
    "btc_trends_combined = pd.concat([btc_trends_2010, btc_trends_2010_2,btc_trends_2011, btc_trends_2011_2, btc_trends_2012, btc_trends_2012_2, btc_trends_2013, btc_trends_2013_2, btc_trends_2014, btc_trends_2014_2, btc_trends_2015, btc_trends_2015_2, btc_trends_2016, btc_trends_2016_2, btc_trends_2017, btc_trends_2017_2, btc_trends_2018, btc_trends_2018_2, btc_trends_2019, btc_trends_2019_2, btc_trends_2020, btc_trends_2020_2, btc_trends_2021], axis=0)\n",
    "\n",
    "btc_trends_combined = btc_trends_combined.drop(columns='isPartial')\n",
    "btc_trends_combined = btc_trends_combined.sort_index()\n",
    "btc_trends_combined.to_csv('resources/btc_google_trends/btc_trends_combined.csv')\n",
    "btc_trends_combined.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>asset</th>\n",
       "      <th>AdrActCnt</th>\n",
       "      <th>CapMVRVCur</th>\n",
       "      <th>CapMrktCurUSD</th>\n",
       "      <th>HashRate</th>\n",
       "      <th>NVTAdj</th>\n",
       "      <th>PriceUSD</th>\n",
       "      <th>SplyCur</th>\n",
       "      <th>TxCnt</th>\n",
       "      <th>TxTfrValAdjUSD</th>\n",
       "      <th>VelCur1yr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-12-13 00:00:00+00:00</th>\n",
       "      <td>btc</td>\n",
       "      <td>996713</td>\n",
       "      <td>1.915300</td>\n",
       "      <td>8.842453e+11</td>\n",
       "      <td>1.695883e+08</td>\n",
       "      <td>69.789128</td>\n",
       "      <td>46785.327841</td>\n",
       "      <td>1.890006e+07</td>\n",
       "      <td>281785</td>\n",
       "      <td>1.267024e+10</td>\n",
       "      <td>14.525969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-14 00:00:00+00:00</th>\n",
       "      <td>btc</td>\n",
       "      <td>966596</td>\n",
       "      <td>1.974878</td>\n",
       "      <td>9.127791e+11</td>\n",
       "      <td>1.780076e+08</td>\n",
       "      <td>72.469440</td>\n",
       "      <td>48292.682250</td>\n",
       "      <td>1.890098e+07</td>\n",
       "      <td>281921</td>\n",
       "      <td>1.259537e+10</td>\n",
       "      <td>14.533207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-15 00:00:00+00:00</th>\n",
       "      <td>btc</td>\n",
       "      <td>1058257</td>\n",
       "      <td>1.995927</td>\n",
       "      <td>9.229897e+11</td>\n",
       "      <td>1.695883e+08</td>\n",
       "      <td>62.867727</td>\n",
       "      <td>48830.622386</td>\n",
       "      <td>1.890186e+07</td>\n",
       "      <td>280841</td>\n",
       "      <td>1.468146e+10</td>\n",
       "      <td>14.536127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-16 00:00:00+00:00</th>\n",
       "      <td>btc</td>\n",
       "      <td>873836</td>\n",
       "      <td>1.948720</td>\n",
       "      <td>9.009626e+11</td>\n",
       "      <td>1.383167e+08</td>\n",
       "      <td>56.242508</td>\n",
       "      <td>47663.469108</td>\n",
       "      <td>1.890258e+07</td>\n",
       "      <td>256019</td>\n",
       "      <td>1.601925e+10</td>\n",
       "      <td>14.533316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-17 00:00:00+00:00</th>\n",
       "      <td>btc</td>\n",
       "      <td>979005</td>\n",
       "      <td>1.896527</td>\n",
       "      <td>8.758845e+11</td>\n",
       "      <td>1.792104e+08</td>\n",
       "      <td>48.186258</td>\n",
       "      <td>46334.483749</td>\n",
       "      <td>1.890351e+07</td>\n",
       "      <td>260119</td>\n",
       "      <td>1.817706e+10</td>\n",
       "      <td>14.538415</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          asset  AdrActCnt  CapMVRVCur  CapMrktCurUSD  \\\n",
       "time                                                                    \n",
       "2021-12-13 00:00:00+00:00   btc     996713    1.915300   8.842453e+11   \n",
       "2021-12-14 00:00:00+00:00   btc     966596    1.974878   9.127791e+11   \n",
       "2021-12-15 00:00:00+00:00   btc    1058257    1.995927   9.229897e+11   \n",
       "2021-12-16 00:00:00+00:00   btc     873836    1.948720   9.009626e+11   \n",
       "2021-12-17 00:00:00+00:00   btc     979005    1.896527   8.758845e+11   \n",
       "\n",
       "                               HashRate     NVTAdj      PriceUSD  \\\n",
       "time                                                               \n",
       "2021-12-13 00:00:00+00:00  1.695883e+08  69.789128  46785.327841   \n",
       "2021-12-14 00:00:00+00:00  1.780076e+08  72.469440  48292.682250   \n",
       "2021-12-15 00:00:00+00:00  1.695883e+08  62.867727  48830.622386   \n",
       "2021-12-16 00:00:00+00:00  1.383167e+08  56.242508  47663.469108   \n",
       "2021-12-17 00:00:00+00:00  1.792104e+08  48.186258  46334.483749   \n",
       "\n",
       "                                SplyCur   TxCnt  TxTfrValAdjUSD  VelCur1yr  \n",
       "time                                                                        \n",
       "2021-12-13 00:00:00+00:00  1.890006e+07  281785    1.267024e+10  14.525969  \n",
       "2021-12-14 00:00:00+00:00  1.890098e+07  281921    1.259537e+10  14.533207  \n",
       "2021-12-15 00:00:00+00:00  1.890186e+07  280841    1.468146e+10  14.536127  \n",
       "2021-12-16 00:00:00+00:00  1.890258e+07  256019    1.601925e+10  14.533316  \n",
       "2021-12-17 00:00:00+00:00  1.890351e+07  260119    1.817706e+10  14.538415  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "btc_metrics = pd.read_csv('/Users/draganbogatic/Documents/Fin_Tech/crypto-analysis/resources/btc_annual_metrics/btc_metrics_1.csv', parse_dates=True, index_col='time')\n",
    "btc_metrics.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "time\n",
       "2021-12-13 00:00:00+00:00    46785.327841\n",
       "2021-12-14 00:00:00+00:00    48292.682250\n",
       "2021-12-15 00:00:00+00:00    48830.622386\n",
       "2021-12-16 00:00:00+00:00    47663.469108\n",
       "2021-12-17 00:00:00+00:00    46334.483749\n",
       "Name: PriceUSD, dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read in BTC price from the csv file\n",
    "btc_price = btc_metrics['PriceUSD']\n",
    "btc_price.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fa83a947910>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dWus5zrJRwL3AVGAD8FGt9T4lB/LXwDlAJ3CZ1vqNlBTEAysQwokl0ROlrc33qsceeyx79uxh9+7djB07dsjn06dPZ9OmTbS2tvqKIpgcBDcVFRUUx9G9obXmwQcfZObMmb6/Y7FYLBZLoXHjjdDW1jWs8yCkqh1h1jPzB1x++eVcfvnlzJkzJ2296FprZs+ezauvvhr3d92uBq013/ve9/jCF74wuKytrY2mpqZBWxVIh6mxGEXikksu4eijj+Zf//oX55xzDn/605849dRT4y6fB7cDvwXudC27CnhWa/0TpdRVzvvvAu8HZjiPo4E/OM9pweYgZCHvvPMOAwMDNDQ0eH5eVVXFZz/7Wb72ta/R29sLiDXo/vvvT/q3jznmGF588UXWr18PMGgxOuuss/jNb36D1hqAN998M+nfslgsFovFknpS1Y4w633lK18ZHOd/YGBg8DsnnHAC//znP+ns7KSjo4N//OMfnHDCCRGXH3fccTz66KN0d3fT3t7OY489NqRsM2fOZPfu3YMCoa+vjxUrVsS9D8466yxuvfVW2tvbAdi6dSu7d++OuH59fT319fW89NJLgHSuGtatW8cBBxzAV7/6VS644ALeeuutuMvjhdb6RWBv2OILgDuc13cAF7qW36mF14B6pZS/0EoC2AhClmC8gyCq94477gjp4X/rrXOZOHE8zuAD/PjHP+aaa67hkEMOoaKigurqan74wx8mXY4xY8Zw8803c9FFFxEIBBg7dixPP/001157LV//+teZO3cugUCAadOmeV7YFksu8etfw6RJDF5XFku+0dEBX/gC/PKX4NGRbBlu2tpg3z6YMgWStALFakeE47cdccMNN3DttdcyZ84cystrqa2t5NJLL2XixIlMnTqVyy67jKOOOgqQIdONpSfS8vPPP5+5c+cybtw4Dj30UEaMGBHye2VlZTzwwAN89atfpaWlhf7+fr7+9a8ze/bsuPbHmWeeyapVqzj22GMBGZzlj3/845Dfc3Pbbbfxmc98BqUUZ5555uDy++67j7vuuovS0lLGjx/P97///bjKEifjtNYmK3sHMM55PQnY7Fpvi7MsdgZ3AijTI1woVFdX646OjpBlq1atSruXPtnpvSdOhLPPBh85OsNGJvZjKmhsbOTkk08e7mJYwhiO4zJrFhxyCDz4YEZ/Nqew10t2E+v4LFoERx8N//gHXHhhxopVcITf/3zf8zdvhp074aCDIM6BRzLNwAC8+aZ0qvhMCfCkvb2dmpoaOjs7OfHEE7n55ptZsGBB6goahWTbYtHwagMppXqBt12LbtZa3xy2zlTgMVcOQrPWut71+T6t9Uil1GPAT7TWLznLnwW+q7VenI7/YyMIOcLAAPT1DXcpLJb8Qmt7XVnym0BAnh13iCXbMAdo9+6sFwip4oorrmDlypV0d3dz6aWXZkwcDBP9WusjYq8Wwk6l1ASt9XbHQrTLWb4VmOJab7KzLC1YgZAjDAxAf/9wl8JiyS8CAXtdWfIbk0dqBUKWYgRCczP09kJZ2bAWJxrGcJKs8eRvf/tb8oXJbx4BLgV+4jw/7Fr+FaXU35Hk5BaXFSnl2CTlHMFGECyW1BMI2OvKkt/YCEKWEwhAcbG0uvfsGe7S+KLAnOlpRSl1D/AqMFMptUUp9VlEGJyhlFoDnO68B3gcWAesBW4BvpTOstkIgoPWOqVjBaeabBcIhZbLYskPrMXIku9YgZA5EmpHBAJQXi6VUWdnegpmSTuJtoG01hdH+Og0j3U18OWEfigBbAQBmROgqakpqxu52Wwx0lrT1NQ0OA27xZIrWIuRJd+xFqPMkHA7IhCAoiIoKcn6yihVFqN8I1/bQDaCAEyePJktW7ZEHR83Wbq7u5M6efr7Z9Lc3MmqVZtjrzwMVFRUMHny5OEuhsUSF9ZiZMl3bAQhM4S3I3zf87dvF4uRUpKDkMWt74EBcUH19sY192tWkWxbLBL52AayAgEoLS1l2rRpaf2NxsbGwTGAE0GikDU5MYyoxZIraJ31nXYWS1JYgZAZwtsRvu/5H/6wjLc8fjzccw80NaWxlMmxYwcceih84xsyr0YukmxbrJCwFqMcIdtzEGLxxhtw2mnQ0zPcJbFYgtgIgiXfsRajLKejA6qrYfRomTAti3ssTHDDnFOW/MYKhBxA69xPpnztNXjuOdi1K/a6FkumsALBku/YCEKW09kJVVUiELQWkZClmHMpizWMJYVYgZADGLWeyxeliRzYngdLNmEtRpZ8xwqELMdEEMaMkfdpzIVMFnMu2ft4YWAFQg5gLsZc7uk0NydbsViyCRtBsOQ71mKUxZihTU0EAbJ6LgQrEAoLKxBygHyKIOTyf7DkH3aY0/zg4YelI9YyFBtBiIHW8Morw/PbXV3ybHIQIKsFgs1BKCysQMgBbATBYkkPNoKQ+2zfDhdeCA8+ONwlyU5sBCEGTz4Jxx0Hb72V+d82E6PZCIIlC7ECIQcwF2UuN2RsDoIlG8n15H9LsG4xnbGWUGwEIQbr1snzcHj/TdgrRyIINkm5sLDzIOQA+WQxsgLBkk0EAsGbniU3yYf6MZ1YgRCDrVvleThm/nJHEMrLobY2q5OUrcWosLARhBwgnyxG9iZuySasxSj3sb2a0TH3DxthicBwCgR3BAEkipADEQQrEAoDKxBygHzoIbMRBEs2Yoc5zX2sQIiOjSDEYNs2eR7uCAJYgWDJKqxAyAHyKYJgKxZLNmFGMTKhc0vukQ8dKOnECoQY2AiCb6wYLyysQMgB8kEg2AiCJRuxN7zcxx7D6NhRjGJgBEJ7e+Z/O8ciCDYHobBIq0BQStUrpR5QSr2jlFqllDpWKXW9UmqrUmqp8zjHtf73lFJrlVKrlVJnuZaf7Sxbq5S6yrV8mlJqobP8XqVUWTr/z3CRDz1kNoJgyUbMDS+Xr61Cx9oeomMjCFHo6ICWFnmdDRGEMWOyOknZXmuFRbojCL8GntBaHwzMA1Y5y3+ltZ7vPB4HUEodAnwcmA2cDfxeKVWslCoGfge8HzgEuNhZF+CnzramA/uAz6b5/wwL7ghCrloh7ERplmwkH4YQLnTyoQMlnViBEAWTfwDZk4PQ0ZG1GeVWIBQWaRMISqkRwInAXwC01r1a6+YoX7kA+LvWukdrvR5YCxzlPNZqrddprXuBvwMXKKUUcCrwgPP9O4AL0/Ffhhv3xZirQzJai5ElG7H2lNzHHsPomDq3tzd37x9pw9iLIDsiCGYuhNWr4cUXQ9e9806YNWtYT3RrMSos0jkPwjRgN3CbUmoesAT4mvPZV5RSnwYWA9/SWu8DJgGvub6/xVkGsDls+dFAA9Cste73WD8EpdQVwBUAJSUlNDY2JvfPEqC9vT3h392woQrRSfDssy9SVpZ7tXxT0xFADW+++Rbl5XuHtSzJHAtL+hiO46L1SYCisfFlRo2yYQQvsv16eeedWuBw1q3bRGPjuuEuTsaJdXxWr54EzADg6adfpLw89+4f6WLs009zCNBfWUnLpk28ncLz3M91s/+KFUwDXnj9dXRxMaN37GAO0HvKKZS2tvLSo48y4EQX5t14IyPfeYfX7ruP7okTU1bOeFi9ugY4gqamZhoblw5LGZIl2+uzbCKdAqEEWABcqbVeqJT6NXAV8FvgR4B2nn8BfCaN5UBrfTNwM0B1dbU++eST0/lznjQ2NpLo7779dvD1sceeSG1tasqUSUqcM2327LkMw+4PIZljYUkfw3FcTI/qUUcdx+TJGf3pnCHbr5fKSnmeOHE/Tj55v+EtzDAQ6/i89Vbw9VFHncjIkekvU87w+usAlBxyCA2lpSk9z31dN088AWVlnHTaafK+uBiAsuZmAE6oqoKTT5Y8CachcExDA8N1EzWBjpqa+qyuE6KR7fVZNpHOHIQtwBat9ULn/QPAAq31Tq31gNY6ANyC6RqHrcAU1/cnO8siLW8C6pVSJWHL8w53OC9Xw+jpTlLu7LRhT0t8uPN5cvW6stgchFi460WbhxDG1q1QUwMTJw5fDoLJPwCYORP22w9++1t57wgYnnkmeIKvWZPZMrqwOQiFRdoEgtZ6B7BZKTXTWXQasFIpNcG12geB5c7rR4CPK6XKlVLTkJjoIuB1YIYzYlEZksj8iNZaA88DH3a+fynwcLr+z3DivhhzNZky3UnKM2fCH/6Qnm1b8hO3HztXryuLzUGIhfs8twIhjK1bYdIkqK0dvhwE0y0PMHYsbNwIX/4yTJsGixbJ8scfh/p6WXcYBYLNQSgs0mkxArgSuNtp2K8DLgduUkrNRyxGG4AvAGitVyil7gNWAv3Al7XWAwBKqa8ATwLFwK1a6xXO9r8L/F0p9WPgTZyE6HzDXcHn6k0wnRGEQAC2bIHNm2Ova7EYbAQhP7C9mtGxAiEKwy0QwiMIbo48EhYulAP4+ONw1lnwzjs2gmDJGGkVCFrrpcARYYs/FWX9G4AbPJY/DjzusXwdQYtS3pJPEYR0VCx2CFVLItgIQn5gLUbRsRajKGzbBiecIAJhOCZKC48guDnqKLjvPhm9aMcO+MAH5GAuXZrRIrqx0brCws6knAPkukDQOr0RBCsQLIlgBUJ+YBst0bERhAhoDdu3S/5BTY3MPZDpkyhWBAHgi1+EGTPgYx+T5/Xrh63CshGEwsIKhCzihRfgpz8dujzXk5TddVk6ym8Egm3kWeLBWozyAysQomMjCBFoa5PJIcaMYXBowExHEaJFEBYsgKIiOWi/+hWUlYlAGBiADRsyWkyDzUEoLKxAyCLuvReuu27obMm5HkEwDXiwEQRL9mAjCPmBtRhFx0YQIrB7tzy7BUKm8xCiRRBqauCYY+D88+Gcc2TZDJnPYrjyEGwEobBId5KyJQ76+6Wx29IiAxYYcj2C4L4ppVMg2EaeJR7yIfnfYiMIsbACIQJ79sjz6NFBYZBNEQSA558HpeQBWSMQ7LVWGFiBkEWYxvOOHZEFQi42gm0EwZKNuCN1uXhdWQTbaImOtRhFwB1BMGRTBAHEVuRm7FiJdgyTQLAWo8LCWoyyCLdA8FoOuXkTzFQEIRf3jWX4sBGE/MAKhOjYCEIE3BGEmhp5nWmBECuCEI5SMj/Cpk3pK1MUrMWosLACIYswN7hoAiEXezrdEYR03MR7e+U5F/eNZfiwOQj5gakfbaPFGysQIuAWCNmYgxCJ+vrhmbMBKxAKDSsQsgg/EYRcbMjYCEIO8dOfwrvvDncpMoIVCPmBjSBEx1qMIrB7t1h4amuHRyD09spJG08EAaSsra3pKVMMrEAoLKxAyCLMRbd9u/dyyM2bYKZyEGwjL0laWuCqq+B//3e4S5IR7DCn+YEVCNEJBKC0VF5bgeBizx6JHig1PMOcdnbKc7wRhLq6YRMIps6011phYAVCFpGvFiMbQcgRzE3nkUfkRLvvPvjLX4a3TGnERhDyAzvMaXQCAaiokNdWILjYvTuYoDwcEYSODnmON4IwjALBRhAKCzuKURaRr0nK6c5BsAIhRZib47598I9/wOc/Lz1sn/3s8JYrTdgk5fzARhCiMzAAxcUiEqxAcGEiCCC9+EplViAkE0GwOQiWDGAjCFlEJIGQ6z2d1mKUI7h7pT73OXm/ZcvQmfvyBDvMaX5gBUJ0AoGgQOjqGu7SZBFugaCUjGQUqeF92WVw//1xbb7h1VdlgrO//CUoBtwkGkGorZUDOQyVlhUIhYUVCFmEtRglho0gpAhzc5w4UV5XVkoinRkvPM/IdeFtEazFKDqBABQV2QjCENwWI5CGt5dACATgrrvgiSfi2vzo//wH/v1v6Wz5zneGrmCSDcePj2u71NXJ8zBEEWwOQnpQSn1NKbVcKbVCKfV1Z9kopdTTSqk1zvPITJfLCoQswtzodu8OvQDzyWJkIwhZjLnhfPGLEva+9lp5v2XL8JUpjViLUX5gezWjMzBgBcIQ+vqguTkYQQARCF5Jynv3ykm2d29cP1G2dy8sWABHHgmrVw9dwcxlMGVKXNsdFAjDkIdgr7XUo5SaA3weOAqYB5yrlJoOXAU8q7WeATzrvM8oViBkEeai0zq009ZGEKJjIwgpwtxwLrlEbp5nnCHvN28etiKlE2sxyg+sxSg6bouRFQgOTU3yPGYMAwPw+OOgayJEEMzNOBGBMGFC5InNNm2SAzNhQnxlH8YIgrtTxf3akhSzgIVa606tdT/wAnARcAFwh7POHcCFmS6YFQhZhPsG5x7qNJ8iCDZJOYsxN5y6OhkXcfJkeW8jCJYsxgqE6FiLkQeuSdKeew4+8AFYxjzvRveuXfIcr0BoahL70H77iRgIz+XatEnq2OLi+Mo+jBEE91+wUQTflCilFrseV4R9vhw4QSnVoJSqAs4BpgDjtNamJbgDGJfBMgN2FKOsYmBA8pU6OkLzEPIlglBamp5Kxc6knCLMzdEM+Td2rBy0AhAI9tzJXWwOQnTsKEYeuARCW7O8bCkbA22Lh65rBMK+ff63PzBAWXOzRAfGjpVerN275bVh82YRD/Fi6udhtBiBnFdmfg1LVPq11kdE+lBrvUop9VPgKaADWAoMhK2jlVIZHy3ERhCyiIGBYKdtPgkE08NfVWUtRllNa6vU+OXl8r6oCCZNshYjS1ZjIwjRsREED4xtaMyYwfOmq7w+dRGEPXtQgYBEEPbfX5Zt3Bi6zqZN8ecfQFbkIIC93lKJ1vovWuvDtdYnAvuAd4GdSqkJAM7zrkyXywqELKK/X9pjEFkg5OJF2dMjN6jycisQspq2tuDNxzB5ckFEEOy5k7tYgRAdm6TsgSuCYDoHumrHyo033ApkxERX19BxYjs7ZTCH8Ma68QhPmBCMErjzEAIBqVcTiSBkiUCwFqPUoZQa6zzvh+Qf/A14BLjUWeVS4OFMl8sKhCxiYECGYq6ry68IQne33JxKSuwoRllNW1swfG2YMiVvIwjWYpQfWItRdEyScmWlFQiDmEa/WyDUjZMGf7iVaJer4zb8s+efhx//GG65JXS5uYGbHAQIFQg7d0qlk4xAGMZhTsEKhBTzoFJqJfAo8GWtdTPwE+AMpdQa4HTnfUaxAiGLMF7RmprQeVXyIYJQXi7/zSYpZzGtrUMFgokg5OFkaTaCkB/YoRejYy1GHuzZAyNGQGnpoEDornPyA8JHHHILhHCbkYmu3nZbaB3pjiCMHCk3dfd2zetEBEJNjTzbCELeoLU+QWt9iNZ6ntb6WWdZk9b6NK31DK316Vrr+LLkU4AVCFlEf780oktLQ3s08yWCUFxsIwhZjZfFaMqUvJ0szeYg5AfWYhQdazHyYPVqmRCS4LXfVe3MiRAeMd21S3YgRBYIK1bAYleCs4kgjBsnszSbkYwMic6BAFKWmpphFwj2est/rEDIIgYGxIYTSSAUFeVmQ8YdQbA5CFmMl8Uoj4c6tRaj/MBajKJj50EIY9cuePZZuOACwCUQKp2Jar0EwgEHyOtwgbB5M4waJTv3ttuCy7dvp7+6WkbmABEI7iTlZCIIIB05dphTS5qxAiGLMBajSAKhvDw3b4KZiiDk4r7JKlpbvSMIkJd5CLY3LD+wEYToWItRGPffLzeiSy4BgudNV3Gt9NCF13W7d8PBB8trrwjCQQfBRRfBX/8quQUAO3bQO2pUcL3wCMLmzdIZM2JEYv+hrm7YJ0qzAiH/sQIhi4hlMSovz82eThNBKClJbw5CLu6brKLAIgjWYpQfWIEQHWMxKiuzAgGAv/0NDj1UHrgiCD0ewzr39YkomDlT3nsJhMmT4Qc/kJ37ve/J8nCBsP/+IjTMKEhmiFOlEvsPwxRBsAKhsLACIYuIZDEyPUClpbl5E0x3BMFMlNbfn5e5tJnDSyCMHSsHb/364SlTGrERhPzAHEetQ4+pRTAWo1y9fyTN22+LpQikHnvllcHoAQTvtd3dSE+/WyCY4VAPOEBuzm6BoLWsO2WKCIhvfENsRq++Ctu309PQEFzXWInMtjdtStxeBFJPW4FgSTNWIGQR0SxGXstzhUzlIMAwVVr5oEoCAe8k5aIiOPBAWLt2eMqVRmwOQn6Q66O8pRt3B1NBiqgf/xguvFCGBrznHll28cWDHw9GELqQxr7bCmRGMBo3TnIN3AKhuVm2aaKs11wjic/f+AZs3z40ggCwcqUkMC9bBnPnJv6fsiAHwV5r+Y8VCFlENItRcbF0YORiQyaTAiHjldaJJ0p4Odfp6JDn8AgCwPTpsGZNZsuTAazFKD+wvZrRMRajkhJ5X3DneksLtLfDI4/A3XfD8ccHG+x4CIStW+Xx6U9Lgx4kkjpyZOg8CMZ2aQRCbS388IewcCF0dIQKhKOOEvFw003wl7/Ijeqzn038P9kcBEsGsAIhi3BbjIxtxizP5RBxpiZKg2HYPytXSsg61zE3Gy+BMGMGvPde3nU9WotRfmCPY3TcFiMoQIFgOj+uv17q6098IuTjIQKhrw/+53/grrskKgAiEMIjCEYguIcqvfRSmDULIFQglJfDt74lE6v97Gdw2mmS3JwoNgfBkgGsQMgiYlmM8iGCkM4kZRiG/dPeDuvWZfhH04C52YRbjEAiCD09eZeobC1G+YG1GEXHWIxMBKHg9lF7uzyvXi074cMfDvnY7I/uboKN/dtvl2dTt48ZM1QgmHwCE0EA2f7/+38AdIXPcXDFFbKNlhb44heT+08mByHD9lYrEAoLKxCyiFgWo1yPIOSdxaivT35806bcb2HGiiBA3uUhWD9tfmAjCNExFqOCjSC0t8Ps2fL67LNh9OiQj4dEEMzC735XXpeUQH29dwShqEhmS3Zz7rmwbRuthxwSurymBq67Dg4/HM4/P7n/VFcnB9aMipQh7DwIhYUVCFlEtInSbJJy9O0bMtpAMKHrQCA0sS0X8SMQ8iwPwUYQ8gMrEKITbjEquH3U0QHHHgv/939iHQrDUyDU1kpu2Qc/CFOnihDwEggTJgRDM27CRYPhq1+VGZfNwUgUE+nNsM3IXmuFhceZbRkujBAoK8svi5E7gpCO8vf0BCcByuj+MaFrkFD0gQdm8MdTTDSL0aRJsoPzLIJgbnZK5eZ1ZRGsxSg6BZ+k3N4uvfdXXeX5cYhAaGgQIfChD8ksyHfdJZYgkOWtrfKF0lKxGLntRZnE1NNtbTB+fMZ+1lqMCgsbQcgi8tVilImJ0mpq5HVG949bILz3XgZ/OA1EiyCYoU7zNIKQqzOUWwTbqxmdgk5S1loiCNXVEVcJmQdBKRmF6Fe/koXV1TL6EIhAABneFIKTpA0HwxRBsBajwsIKhCxBa3lEsxjlQwQhXRYjU/8PawQhl4kmECAvhzo1N7vwiJ0lt7ACIToFnaTc3S07wPQgeWD2x6Cdf/p0b0ExcqQ8G5vR1q0SXR0OTD09jBYjKxDyHysQsgRzsUWKIOTqTMoDA/JIVw5CICD7ZFgiCCYHAXJfIESzGEFeDnVqIwj5gW20RKegk5RNJ46PCELMfF8TQWhqkgnSMmzvCcHmIFgyQFoFglKqXin1gFLqHaXUKqXUsUqpUUqpp5VSa5znkc66Sil1k1JqrVLqLaXUAtd2LnXWX6OUutS1/HCl1NvOd25SSql0/p90Yi62fJtJ2SQQpyuCYOaLMPX/sFiMRo/OfYHQ1iYHqKLC+3Mz1OnWrZktVxoxNzsbQchtbA5CdAo6Sdl04kSJIPgWCOPGyfPOnfKA4RMIEyeK6vvlL4M5EhnAivHCIt0RhF8DT2itDwbmAauAq4BntdYzgGed9wDvB2Y4jyuAPwAopUYB1wFHA0cB1xlR4azzedf3zk7z/0kb5mLLN4uREQhlZekRCGb7VVXyPCwWo7lzpXc9w2NSp5S2NumViqSxx46VZ/coHjmOtRjlB7ZXMzrhFqOCOtdNHZ0KgWByEbZtgx075PVwCYTx4yWB+pVX4MwzMxbZtTkIhUXaBIJSagRwIvAXAK11r9a6GbgAuMNZ7Q7gQuf1BcCdWngNqFdKTQDOAp7WWu/VWu8DngbOdj6r01q/prXWwJ2ubeUc0SxG7h6gXLsBuv9XOpKUjUAY1iTlefMk1JvLjefW1sj5BxDcwSZXIQ9wRxBy7bqyBLECITrWYoQvi1FPT4w+njFj5Ea2fXswgmCiCsPBJZfIUKyLFmXMamQjCIVFOoc5nQbsBm5TSs0DlgBfA8Zprbc76+wAzBU2Cdjs+v4WZ1m05Vs8lg9BKXUFEpWgpKSExsbGhP9UorS3t0f93dbWEuB41q1bQ3NzGb29+9HY+AIAO3bMpru7ir17O2hpqaax8fXMFDoF7NtXChzHe++9y549I2hvr6WxcVHKtr9rVzlwLB0du4CxLFr0Jt3d0UOusY6FXya9+SYzgHfKyjgYWHL//bQdfHDS280ktStXcuDNN1O5dSv9NTW8HmG/1L37LguAt155hb1paoWl6rj4ZenSUcBc+vra6egopbHx1Yz9di6R6eMSL1u2zARk3PlFi96gvT2zvuzhJtbxaW8/kqamDpYv3wbM5/XX36S3N3O2lOGkfskS5gNvrllDS4R9tHv3fKAegKeeepHy8si98ceOHMneJUto6+zkIOCVdevojdA4z8R1M761lYOBV598kp4MiJV166YCUwFYtmw5I0bsSftvpppsr8+yiXQKhBJgAXCl1nqhUurXBO1EAGittVIq7b4MrfXNwM0A1dXV+uSTT073Tw6hsbGRaL+7e7c8z5o1g927RamfeOLJg/OztLTApEnVbN1K1O1kGyYSe/DBB7F3r1j1U1l+MzT/AQeM5fnn4dBDDyPW5mMdC9+8/DIAB194Ifz0pxw+YQIxfzyb6OqCK66APXugpobyc86JvF8aGgCYe8ABafuPKTsuPjH25FGjamhry63rKpNk+rjEyx13BF/PnbuA448fvrIMB7GOT0UFjB9fzZFHik1wzpzYdWTe4PjzDzvhBFiwwHMVt/voyCNPHMxF9mTaNCZozQQnSfh9F1wQcdKzjFw3TsPh2NmzYc4cWaa1jN5UWZnyn3v22eDrgw+ek5PnUbbXZ9lEOnMQtgBbtNYLnfcPIIJhp2MPwnne5Xy+FZji+v5kZ1m05ZM9luck4RYjCIY+czkHwYQki4rSm4MwbEnKZWWDjeecs99cd50MXXr//TIT9O9+F3ldYz9yD+2a49gk5fzAWoyiE24xKqh9ZHoBfFiMwGcewrZtYjEaPTr5GZGTxWs0ozvvlOFX02A7sjkIhUXaBILWegewWSk101l0GrASeAQwIxFdCjzsvH4E+LQzmtExQItjRXoSOFMpNdJJTj4TeNL5rFUpdYwzetGnXdvKOcJHMYKhAiEXRzFyC4R05iAM2zwINTXBLqhcajy3tckIGJ/5DJx2Wuz1c/E/xsAKhPzA+qKjY3LYbJKyN+790d0dY3sTJkgOwo4dw5eg7MZLICxbBvv2wYsvpvzn7LVWWKTTYgRwJXC3UqoMWAdcjoiS+5RSnwU2Ah911n0cOAdYC3Q666K13quU+hFgjPc/1FqbbNAvAbcDlcC/nUdOEj6KEXgLhFzr/clUBGHYkpSrq4O967kUQdiwQQ7GWWf5Wz8PBYLpDbPzIOQ2dpjT6JhRjGySsjdxRxD27JGI63AmKBu8BIIZivq55+Dcc1P6c1YgFBZpFQha66XAER4fDemydEYi+nKE7dwK3OqxfDEwJ7lSZgfWYpQY4fMgDEsEwYyxmkuN581O3v+UKdHXM5iZ7nLpP8bARhDyA2sxio6xGBXkTMo+LUbV1bKq76FOly+Hj3wkNWVMhhEj5DmSQEgxbotRQZ1HBYqdSTlLcFuMysrktY0gxGbYcxBqauTP1dTkVgRh0yZ53m8/f+srlXv/MQZugRAI5NUk0QWFFQjRCZ8oraDEcHu7dG5EyRXo6wt2xPsWCL292RtB2OIM7rhsmcz6nEJsBKGwsAIhS/BjMbIRhKFkhUAAec6l3vXNm+WEisdHm2v/MQZugQC2cZmrWItRdMItRgW1jzo6okYPQPZH3AIBsiMHwdx/jEAIBCSJ+oQT5H2Kh/O0AqGwsAIhS/BjMcrFJGXzv/I6SRkkD2G4etdXrIAf/zi+mZw3bZKRLoqL/X8nzwSCOwcBcu/asgiBQIHaZ3wSbjEqqPPcXUdHoK8vmEYWM0k52wRCUZEU3giEPXvkD114ofxv97ikbp57Lmi/igMrEAoLKxCyhFijGJkeoIGB+NqBw03eJykPdwRhyxY480y49tqg99QPmzf7zz8w1NbmlUCwEYT8IBAIijx7DIdS8BYjHwLBdwShoSGotLLBYgRSeCMQzD1g6lSYPx9Wrhy6/vbtMnLdPffE/VN2mNPCwgqELMGvxQhy6yZoGmHFxQVgMcpUBEFrePJJ+O//hlNPlZAyhAoEraGzM/I2Nm3yn39gyLMIQrhAKKiGUx4xMBA8hrbRMpSCT1KOYTFyRxBiCoSiIhnqFLIjggDeAmHSJBEz+/YNXd8MUNHcHPdPGbEJBXYeFShWIGQJfi1GkFsXZqYjCMNqMXI3nrWGv/89OMxSqti9G845B84+G379a+k6/cUv5DO3QLjrLunhMlN0uwkEJPKQqwJh82Y45BAZSSQJwi1GuXRdWYIEAjYKFA0bQUhhBAGCNqNsjiBMmgSjRsHevUPX375dnn392VACgeB5ZMV4/mMFQpbgZ6K0XPSQhk+UpnVqR4sZtghCICC9U5EiCG+8ARdfDPfdl9rf/cMfJHrwy1/K7739NnzqU/KZWyDcdpvcHJ9+eug2du6Ukyhei1G2CISFC2HVKtkHSWAjCPmBFQjRKegkZTNXTRTcAiFmDgKIQCgqkpmUswG3QNiyRco2fnxkgWAizgkIBK2D7RArEPIfKxCyhGgWo/AeoFyq4MMjCJDaimXYkpS7uqS2jBRBML00S5ak9neXL4cDDoBvfCPYKho9Wl4bgbBjB7zwgrx+6qmh2zAh5kQiCNkwzOm6dfJ8zz3eN0Cf2ByE/MAKhOgUdJKyuxPHA63lnPFtMQLx9s+ZE98AD+kkPIIwfrwc7JEjxWYarnpsBMHiEysQsgQvi5Fxp+RLBCETAiFjDQQzAkSkJOVdu+T5jTdS+7srV8Ls2aHLlJJeLTP+9UMPyZ1v3jwRCOFZ7WYOhFyNIKxbJxdJdzfccUfCm7GjGOUH7hwEKxCGYi1GkQWCuRdVV0s16qvNfM01sHhxasqXCsIFwqRJ8nrUKHkOz0OwAsHiEysQsoR4chByqYJPt0Do7ZVtV1TI+4w1EExDOTyCYFqdRiAsXRrcCevWwU03JTS8HCAH/t13xX8fzqRJwQjC/ffDrFnw1a/KzSDcq59MBMH9H4eLdeukF+9974Nbbkl4M9ZilB/YCEJ0jMWoqEgawQW1j2IkKZtrvrQUKit9tpndfq1sIF6BkITFyIjNgjuPChQrELIEc7FFG8XIWoyG0tMjPcDm5pexRl64QKipkT9rKl2THNzaKg3ab3wDpk+Hr30N7rwzsd9cu1b+YHgEAYICoalJ7EUf/rAMfwpDbUabNslNs74+vt+vrRVxkMCNJaWsWyc2q1NPhdWrE05qsRaj/MAOcxodYzGC3JxLJ2G0jhlBMPuipEQEgq8chGzDCAStvQVCuA0ziQiC1ukbcMSSfViBkCX4iSDkusUoHcPsGYEA6ZmILSJGIJjeKWNiNR79XbtEsQDcey/ceCN8/OMy8sXLLyf2mytWyHO0CMLixVKLn3wyTJ4s67ony9m0CV56SaIHpnx+MTfa4bQZ9ffDxo0iEEaPlhMsgeH6IBgIsRGE3MYOcxod99CUpaUFJKK6u+XP+xAIcUUQso26OqnMdu2SujCNAsFEo6xASC1KqW8opVYopZYrpe5RSlUopaYppRYqpdYqpe5VSpVlulxWIGQJboEQ3mCxEYTIuAVCRnvHvCII7uW7d8PcuaJafvxjKdwvfwnHH5+4QFi5Uhr1Bx889LNJkyQh7bnn5P2CBfJ8yCGwfr28fvVViWIsXQpf+EL8v58NAmHLFrkAjEAAmT00Acy5aXufcxtrMYqM1sFeX5DqqGCEsLFyRrEYmfMl5wUCBK2kJrfMSyD098soduD9Z3ftgt/9LqKN1AqE1KOUmgR8FThCaz0HKAY+DvwU+JXWejqwD/hspstmBUKW4MdilIsRBFOJZEIgZCSCsHMnHHtsMPnYnYMAoRGEyZNltIvubvjIR2R0ieOOgw0bgj7QeFi5EqZNg6qqoZ+ZXqOHHxYRYOxDEycGf+u554J5DF/7Wvy/ny6B8I9/wNSpTHroodjrGrEzbVrKBIKNIOQ27sRJKxBCcXfQQIFZjMI7cTxwRxAqKnJcIJjE6YMOkueRI+XZLRB27Qo2/r3+7E03wVe+AsuWef5UICB9VBmN1hcGJUClUqoEqAK2A6cCDzif3wFcmOlCWYGQJeR7krKZSRmSEwhaS/13++3yPjyCkPZK6/XX4bXXZJIyiBxB2LULxo4N9uR/5SvyfNxx8pxIFGHFCu/8AwgKhNWr4fDDg8snThR/anu79L6PHi2N60Qw/zGVQ53+/vdw0UWwcSP1b74Ze30zxGkKIwhWIOQ2pn4sLraNlnDc9S8UWMMu3AbqQd5YjEDuTRAUCHV1ogzdAsHYi4qKvP+syVd79VXPn7I5CKlHa70V+DmwCREGLcASoFlrba7WLcCkTJfNCoQsoVBmUobkKpauLlizRjrTQVw1pkM9I+FzM5Tojh3y7BVB0FosRmPHwpe/LBajY46Rzw87TO5E8QqE/n5p/HvlH0BQIAAccUTwtZn1c/t2KfukJOqYdEQQXnlFIi3nnEOV2bfRWLdOTqQpU6ChQZY1NSX003Ym5fzA2B4KqvHrk4KOIIQPRe1BuEDI2SRlEIEwdmwwelxUJFGEvXvhn/+EqVODN8799hsqEJqaglGICALBWowSokQptdj1uML9oVJqJHABMA2YCFQDZw9DOYdQMtwFsAj5ajFKdZKyaZt27OqAz1xJR9stVFWJ8shIA8E9WzF4RxBaW2X81TFjJIJgogggB/eoo+IXCBs3yoH3yj+AoBCAoREEEJvR1q3SGE8UI4JSKRA6OuQmNmsWFc88E7wDRWLdOth/fznYNoJgwQqEaLgtnlBg+ygOi5EZxSjBvobhxQiETZvghBNCPxs1SoY5feEFuYeYyPcBB8B774Wu++yz0muy335RBYJSViDESb/W+ogon58OrNda7wZQSj0EHAfUK6VKnCjCZGBrlG2kBRtByBJiRRDcQy/nUgWf6giCqfM712yF226jc0/XYAQ5IxajrVul4T9ihNSUlZWy3B1BMHMgjB3rvY2jj4Y334xvR5g8gkgRgIqKYI+6W5C4BcKWLckJhHREEMwwhDNmUNzbO1SAaS37ynT3myFOQawD5eUpEwi5dF1ZgphRegqq8euTcItRwUQQnnsObr1VXheKxQhg5szQz0aNkgjCmjXyfskSuW9Nmzb0zz75pEQfvvhFGVLb3MdcGItRSYkVCClkE3CMUqpKKaWA04CVwPPAh511LgUeznTBrEDIEgphmNNUCoSOZtkJ7nlwMmYxmjYNLrlEko5N15y78WzmQBgzxnsb48fLTojHy28EgjtSEM6kSTBjhogXg1l/3TopV7YJBHMAp0+X92vWiB3K+GkXLxbB8+yzcjK9+y4ceKB8ppREERIUCHaY0/zAdKBYgTAUL4tRXu6jNWvg/POlburokDlg7rtPrJ0zZkT8mnsUo5xPUobIAuHdd4M34NGjpUOrszO4ntaSf3DaaTLSHkiuXRhui1FenkfDgNZ6IZKM/AbwNtIuvxn4LvBNpdRaoAH4S6bLZgVCluDHYmQaMr29mS9foqRNILTKRjo6yXwEYdIk+MUvYOHC4PJ4IgjGIxrP+P0muWzChMjrfP3rcPXVocvq6iRJw3hLs1UgmJv4mjUyqdwFF8h7k+vxwguSg9HcLBEYQ0NDyoY5zaXryhLEbTGyvZqheFmM8lIIv/ACPPqo1MmrV8sf/9vfxCrjbkCHkRc5CObeA8EEZcPIkTLy3vr18KlPyYkwYcLQcMmuXdL5deKJYlEtKRE70imnwIsvDq5mcxDSg9b6Oq31wVrrOVrrT2mte7TW67TWR2mtp2utP6K17sl0uWwOQpYQLYJgQuimIdOT8dMkcdKWg9Ah3b+d3UWZTVLeulV6WSorg+NNg6i30lIpYCyBYHr44xEI27bJCWCGrvPi8suHLlNKogimRz6ZJOWKCjmQqRYINTUweTKB0lKKVq+WniyTYGiiLK+8Ikl2AO97X/D7SUQQwgVCXjacCgBrMYpMwViMzEg9y5cHI7eRBnRw4RYIZWW5dW8dxO2P8oogbN4sr08+WRoaI0bI+gMDsgNKS4P7b9w4+eyII4Jz6vzudyIcsDkIhYYVCFmCWyCYC9D0aJoIQkWFvM+lXo605SB0ySzAHd3FIRajtDYQ2tuhpSVyI7u2Vhq0sSxGiUYQJkyIf/ZjEIFgeoGSiSAoJY35VOcgVFdDURFdEydSff/9klQHcrc2AmHhQhFko0aF9pKNHh1xzO5YGIuRua7ysuFUABiLkbU9DKVgkpRNdvGKFdLILS6Oai0yuJOUy8tzVCCAREn6+oL5WQYzWRrI/rj0Unn985/Lc1dXqEAw699+u0Rv//pXuPfewfHE7TCnhYW1GA0Dpv3oxm0xgtCeHiMQcj2CkFKLUU8pGujoLc2cxcgk0EYSCKbxvGuXVNjmgIVjBEJLi//fNgIhEdx5C8kIBJD/mMp5EFxJJF2TJweHkQX5HfNbHR1w//0SPXCLpBRGEKzFKDexoxhFpuAiCCtWwKpVkqdkPLlRcEcQystzuA6oqxNxYOwHBrdAcHesmME1jM0oXCDMnAknnQQXXih1cGMjYK+1QsMKhAzzxhvSwbFqVehydwQBghW5u4I3PZ25JBBSPZPyoEDQlfRSxkAggxajWALBHUGIFD2AxCII27ZFT1COhvleXV2oXzURamtTF0HQOmgxArrC96tbIIAk1bntRSA5CHv3JnRSWYGQH9hGS2QKJkk5XCDMmuXra+ECoacnGFnMKQ48MDQ3y2Aa/PX1wVHuYKhAMBEYt6AAsdNWV8PDMoCOtRgVFlYgZJgtW6QCCp8TKlwglJVJ5eVebhoyuWgxStVMyoMWI6roRJRBxiMIkXrh3RGESPkHkJzFKBGMQEg2egCptRh1dcnF4BzATiMQzFwPra3yqK0N/odwgTB6tGxj82b46leD9iQfmHPTWoxyG/cob3nZ+E2CgklSNgKhpUUmA/MpENyjGOV0LtI//gG33DJ0uWnwH3RQaOQ1VgTBUFEBZ50FjzwCWtsk5QLDCoQMY65Hk4NpiGQx8hIIuRRBSFuSMtV0IA3LjA1zalRdrAjCzp3RBYIZVcOvQOjqknWTjSAkk6BscAuEnh546KHEu9zMReAcwPaZM+VE+eQnZbmJINTWijAoLg6dJRqCk6Xdeiv85jfwn//4/vnwmZRtBCE3sRGEyBSUxcg9gEOCEQTIrfvrIBUV3pZWs0/C8zFM2N0tEIqLvUd8OvNM6RzbtMnmIBQYViBkmEgCIZLFKF8iCClPUqaa9urxAJlLUt66VXr/TeUaTk0NvPOOhLkPOyzydkpKZF2/OQh+hjiNRqojCMb2c+ut8KEPyf9NBHMROBajtpkzxZ512mmyvLU1KBCuvRbuuGPopEdGINx3nzzHcXGET5RmBUJuYoc5jUy4xShvRVRTU3D8fohbIJgkZchRgRAJExEIFwheEYSRI70HwRg3Tp737bMRhALDCoQMk4xAMGH0XKrAUi0Q3Jb0PZPnAcH2ekYsRtEa2bW1YnGpqoIvfzn6turr/UcQzCRp2SAQpk0Tj29np8y8CRIxSQSj9tyN/lGjQueUMAJh7lz4xCeGbsP4alevlucEBIKZpTwve1YLADvMaWTCLUaZOs9vuQXuuiv9vzPI3r2SWGtyv4xNMQZ5E0GIxNSp0uFy7rmhy70EQri9yGAssY5AUMpea4WCFQgZxlyP7kkMQS62oqKggPcSCCCRRBtBEHaXSYM3YxYjM0laJMxEYl/6UrBnOxLxCAQTQUjUYrTffnDssTLpTbKcf76cxE88Ac8/L8tMglu8hFmMBjFhbrdAiET4fo5jKlQTLgeJItgIQm5ihzmNjJfFKBP76JZbJOCXEbq65DFqFMyZIx0hPgdjyHuBUFEBzzwjk5+5iUcgGJtSc7O1GBUYdh6EDGMa914RBFOJQ2SBkGtjNXvlIKRMIBRn2GK0eTMcemjkzydMkOjBN78Ze1t+BEJHB6xdm7zFqLxcJhpLBSedJBPt/OAHYgGC5AWCEVYGc3M3FqP994+8jXCBEGcEwS3IrUDITWwOQmS8LEaZiCD09WUwImcGJhg1Cm64Ia76yJ2kbKyGuXR/TRgvgWCsROG4BtVwW4xsxDX/sRGEDBPNYuRHIFRU5FYF5hVBSEWSMsAuJBHYbTFKW6XV2SkTx4RPROPm29+WHITx42Nvb8SI2DkIv/2t5DI88oj8OfcwdcNFWRl84AOSd2BaHQnOQ+BpMYKgYPATQaiqkovC7Js4BYI7gmBveLmJtRhFZrgsRr29GbyejCBoaJBIabidJgp5H0GIRCIWozCBYCMI+Y8VCBkmmsWoxBXPCRcIpoIvLy9gi9GiRbS/vQ6FbHR3QCq0jEQQNmyQ52gCobJSZvv1g58Iwttviw/m2WcTn0U5HVx4oTwfeaQ03lNtMSopkYa/O0k5EkpJXsQFF8h7azEqOIzFyAqEoYRbjDK1jzIqECIN0ekDL4FQEPVAPAKhtlbqWZuDUHBYgZBhko0g5LLFKGmB8JOf0L63l4YyyVTe3e8IhCoZrzKt/tp16+Q5mkCIBz8C4Z13gn78RO1F6eDssyUCcsEFYvFJtcUIgkPGxhIIILN83nSTtPKtxajgsBajyHhNlJZ3FqMUCIS8HcUoEm6B0N8v0exIEeqiIqnvbQ5CwWFzEDJMPDkIvb1De4ByLUk5pTMpt7XRXjqScTNGsGcF7OqRxnN1cTdQmV5/7XvvyXMqBUJLi3Rje0UGtJaReS67TEYJOuig1PxuKqitlf0xYoTMg5CoxShSBAFEGO3dKyd7LIFg5pyoqIgrgmAtRvmBHeY0Ml4WIxtBCGItRl3Bjqpo+2/kSGsxKkCsQMgw0SZKC7cYdXXlTwTBeIQhiRtURwftgSoOGicW+F1d0nCsGmjDCIS0RhBqa2OPTuSX+no5uB0d3j3o27eLR//gg2UCsGzD9DY1NCQeQYiUgwCyr01yts8RSaisjEs9W4tRfmBnUo6Ml8UoUzkIGTsWRiAkkKNl9kWuTkSaMGVl0jHV1eVPYNXXh1iMrEAoDKzFKMNEykGIJ0k5lyIIqbQY6fYO2gcqBwdb2N1RRSm9lHaL5SjtFqMDDkhdHsCIEfIcyWZkxvWfOTM1v5cukrUYuYcPcVNbK8PKmtd+iPPisBaj/MBajCKTNxajX/0KrrnG+7OmJqlDIk1gGYX+ftknShWYQFBKOlTiEQjWYlRwpFUgKKU2KKXeVkotVUotdpZdr5Ta6ixbqpQ6x7X+95RSa5VSq5VSZ7mWn+0sW6uUusq1fJpSaqGz/F6llEdLI7uwOQiJVyy97b3065JBR8me9gqq6RgcbjPtFqNU2YsgZGQIT955R559TvgzbCQTQejo8I4egFiMzARx8QgEazEqONy2BysQQgm3GBkRpXV6fzflFqNHH4W77/b+zCTYJtB509cn91ooMIEACQkEK8YLi0xEEE7RWs/XWh/hWvYrZ9l8rfXjAEqpQ4CPA7OBs4HfK6WKlVLFwO+A9wOHABc76wL81NnWdGAf8NkM/J+kiJSDEG4xMg2WfBzmNFGBYBwpJoLQP1AkAqEtzRGEQADWr0+PQIg01Onq1dJ4jjYxWzbQ0CD/IZHWQHt7ZIFQWxvcZposRuECwUYQchM7zGlkvCZKg/T3/qZcILS3S0TR/CE30UbgiUFfX/C+W5ACobMz2METh0CwEYTCIJssRhcAf9da92it1wNrgaOcx1qt9TqtdS/wd+ACpZQCTgUecL5/B3Bh5osdH8lajAp5mNP2DukhMhEEgCo6BwVC2iIIO3bITj/wwNRtM1YEYfVqSUzOlqFNI2F8v6YXKhq7dwetUxA7gmBIk8XInYNgLUa5SfhEjFYghOKVpAzp3U8DA3JcUi4Q+vpkwAZDd7fU/Xv3JjxHjI0g+IwgjBxpcxAKkHQLBA08pZRaopS6wrX8K0qpt5RStyqlnHm8mQRsdq2zxVkWaXkD0Ky17g9bntUUssUoqSRlrWnvlNO1ri44CEO4xUhr706mpEj1EKfgz2KU7fkHEEza9mMz+va3YcECyTCHyAnaECoK4okgxGkxMvrLWoxyEysQouOVpAzpPdfNtlMuEAA2bQou++xn4YgjxIqYRATBCISCmkkZJGfDCASlgnlxXtTXQ0cHOqBtBKGASPcoRsdrrbcqpcYCTyul3gH+APwIEQ8/An4BfCadhXDEyRUAJSUlNDY2pvPnPGlvb6exsZG9e48Cqmht7aex8aXBz7dvP4SenmoaG18HYM+eg+joaGDRouXA4axc+Tb19U3s3XsQra0NNDa+mvH/kAhr1kwBDuSll16kr68IOJ533llDY+PWuLZT1N1NOdLbvG7dW5SWzqKrq5RqOli9eDHbJ0xg8+b9gAN49tkXKC2NbLI1x8Iv4554glnAwt276UrRuVO6bx/HAe8uWsS2MBtRUU8PJ2zcyIaTT2bjMJyr8TByyxbmAW8+/TQtu3ZFXfeIl16iprOTzve/nyV/+ANztmxBBQIsdf6j+7js39TENOd7r61YQfe+fTHLcmhnJ6XNzbzhc59t2XIQAwOjaWx8hdbWOezdW0Fj42Jf3y0k4r1eUsmLL47mmGP2Ulbmrfr7+hRwEhs2rGP37nK6u8fQ2PhKZgs5zEQ7Pm+8UQ/MZ9myN4EWNmyYBMzg+edfoq4uPWqqo6MYOIHe3gEaG/+Tkm0et28fpcCKJ55gt9MJcHRjI5VOntL2adNYncA5unnzTAKBkTQ2vkZnp5R75cr3aGzcHPO7sRjO68YPh/X1MbBtG53FxYyrqeHl/0Q+VpN272YG0Nbcyt7qPgKBXrq6cqcd4ibbj0tWobXOyAO4Hvh22LKpwHLn9feA77k+exI41nk86Vr+PeehgD1AibM8ZL1Ij6qqKj0cPP/881prrSdN0hq0Li7WOhAIfv7BD2p96KHB91/8otajR2v92muy/r/+Jcu/8hWtR47MXLmT5f/+T8rf1aV1S4u8/sUvEtjQrl36GU7VoPV//qP1fvvJts7gSa1//nOttdY//aksa2+PvilzLHzzgx9oXVSkdU9PAgWPQHe3FPaGG4Z+tnq1fHbnnan7vXTxxhtS1oceir5eb6/WZWVan3SS7Mtrr9X6yCO1PvvswVVCjsuNN8p2Qetdu/yV5YMf1Hr2bN9Fv+IKrcePl9cf/rDWs2b5/mpBEff1kiLWrpXD/7e/RV6ns1PW+clPpG4cNSpz5csWoh2fp57Sg3Wm1lr/9rfyfufO9JVn9275jZKSFG0wEJCNgda//KUsa2/XWimty8tl+be+ldCmP/lJrQ84QF739Mimfvzj1BR7uK4b35xyitbHH6/1JZdofeCB0de9806tQR86s1tfeKHW//VfWo8Zk5lipppMHxegQ2eonZ3qR9osRkqpaqVUrXkNnAksV0q5p4T9ILDcef0I8HGlVLlSahowA1gEvA7McEYsKkMSmR9xdvzzwIed718KPJyu/5MqjEV6YCA0BGuHOY1BezvtiB2lpiZoXXdbjNLmr92+HcaM8R6OM1HKy8US09w81PxuEpdHjhzytazDeH9jWYzWrpX/+dnPwqxZsGxZeixGCQ5zapOUsw/jKomW3mItRtGJlKScCYtRykZLck+qYCxGq1bJxn/6U7G/zJiR0KbdScpm3xSMxchYMpuaYlu0HEtsoG/AWowKiHTmIIwDXlJKLUMa+v/SWj8B/D9n6NO3gFOAbwBorVcA9wErgSeAL2utB7TkGHwFiSisAu5z1gX4LvBNpdRaJCfhL2n8PymhqytYIbnzELwmSrM5CC46OmhDGoohAqG4JyRJGdJw80siCS4q9fVw112i+l54IbjcCIRontBswW8OwnKnH2D2bMmtWL06+ihGJknZPcVpLBKYB8EOc5q9mHrO0f+eWIEQHa95ECC9+8kttFPyO0YpAmx2rD+mPnn/+2V0oyuuGPo9H7hzEMxcCLl0f00KIxBWroRp06Kv63RW6YGAFQgFRNpyELTW64B5Hss/FeU7NwA3eCx/HHg8wm8clVxJM4fWcj2OHSuDMXR0BDuJ40lSDgSGCopsJXwUDfeyuOjoCIkgmDlxqsv7hgiElN/8khhGLyrjxsFbb8mJ8dZbcNJJsty0iNwj+WQrVVXSMN+zJ/p6K1bIHXjWLBEIjzwi4iDaMKfm2e9ITnHOg2BHMcpuTEPNubw9cdePdh6EoXjNgwDpFcPu68jdAE8Y9wngFgjl5TKynPvGGSfh5Ss4gbBxozREvvnN6OuaCEK/FQiFRDYNc5r39PZKo8R0urojCLEEgqngKyrkOVdsRimzGIUJBNOurCobCJkHAXJIIPz979JwLimRoVQNJoKQCwIB/E2Wtnw5TJ8uN6WDDpKD1NIS2WJk/rtfexFYi1GeYSMIyTOcFqOU/Y6JINTWBgXCihVwyCFJiQOwAmGwEXLssdHXdQkEpey1VihYgZBBTNvFuFXccyF4WYwgWFm5Iwju5dmO28ahlDySzUGoqnJZjCoGQoY5hTTc/PbtS49AmDlTZkoeNy5UIJgWUS5YjMCfQFixQuxFEDp8q58Igl+Mxcin8dlajLKbRARCIJD+WYJziXCLUdqirC7SZjGaNUvqyd5e6XAw9UkSFLxAAKn85s+Pvq4jEKzFqLCwAiGDGPeDEQixIggQFBXuJGX38mzH3QiDJCoWJ4JQXSUV1KBAqAxkJoKQzoTh8eO9IwjxNI6Hk9Gjo1uMenpgzRqYM0fe+xEIiUYQ4pihyVqMsptEBALYhoubSBOlZdJilDRugaC1dDZs2RKsT5Kgv98KBA4/PHaeV3U1FBcT6LfzIBQSViBkECMQ/FqMIL8iCJBEaNIRCDXV0j1ochCqqklvDkJvr9yg0hFBMIQLhNZW+YNJm3czRENDdIGwerWc4KbHb9So4EUQaxSjeCMI4Fs9h0cQrEDILvwIBHcOQiZ6x3ONSBajdO6jlFuMTA7CrFny/O9/y3MKBIJ7FCOQeiBX7q1JYwTCMcfEXlcpGDmSwEBQINhoXf5jBUIGCRcI0SxGZkRNG0FwcCxGpj05GEGoYrCHKS0WIzNBV6YFQq7kH4Bk3e/eHfnz9evlefr04LKDDpLnVFuMwHeicngOgta2Vyyb8JOknLJR0vKUSBajnIwgHHKIPF93nVzrhx+e9KatxYjY+QeG+noCAY1SwfaIOb8s+YkVCBkkPAchEYtRrkcQkrUY1dRKiy7EYuQ0CI2oSum+MYOwp1sg7NwZrG1bWnIn/wBEIOzbF7kL3ihhtxgwNqNIAqGkRG5g8VqMIKEIgrnebBQhe4jXYmQ6D5qb01qsnCKvLEaHHCL1xfTp8NJLUm8miZdAKJg6YOxYqWff9z5/69fXD+YgWDFeGFiBkEFSkYNQ0AJB1VJTKxsbFAjVDO5YYzuKY6TL2GRKIAwMBBN9czGCAJFtRuaAmAMEQYEQyWIEcMopcPTR/ssRZ3jNnYNgxGXBNA5yAHMs/FqM9t9fXm/cmN5y5RLhFqNMNOzcoiClScrjxsE778Cbb6YkegAFHkG45BJ4+22YNMnf+vX1g/fzpEYktOQMOTCSfv4QLQch0ihG+WYxKilJwmJUVEe9054M5iCowZ2RFoGQKYsRiM1ozJjcjCAA7NoFEycO/dxEEEwPPwTzEaIlf//rX/GVI0mLEdiRjLKJeCMIZq6nDRvguOPSWrScIa8iCFVV0TsUEsArSTmapS2vKCuTUfT8UlMzWGdagVAY2AhCBgmPILhzEAopghBPr1Jnp9MIMBGE8ByEGiU7VuvB9qd7vyaNiSCkexQjCOYh5GoEYdcu78+9IgjnnAOPPZaynkDAWozyDFPHdXZGrjPcAsFEEEzKS6ro60tvh4y7oyjVDPdMyilLUq6uDr2RpIjwJOWCiiDES3U1Aa1sBKGAsAIhg5h2Ul2dVNSFMMzpwEDiFqOBAekV/MtfcHIQggJhzBh5Hj3S2VhPz2D7My0CIVMRBMjtCIIXXhGEoiL4wAf8z5LshzgjCNZilN24G2qmEzkct8WoslJcKBs2pLYcX/gCnHdeardpeOMNudTXrUvP9iNZjHIugpCmIZ8L2mIUL1VVg3WmOZ9sDkJ2o5Q6UClV7rw+WSn1VaVUvd/vW4GQQUyjvqJCOlMTsRjlYgTBLXziEQgdHdLmXLsWsRjp6kGB8P73w6uvwozJTmOwqyt9OQhKpbfBXggRhLKypGc9jUkCEQRrMcpe3HVcJJtReA/51KmpFwhr1sB//pOextDGjVIfpitvYjgsRmmZSTnF1iKDFQhxUFU1GEGwc47kDA8CA0qp6cDNwBTgb36/bAVCBjEN18pKiZgmYjHKtQhCMknKRkC1tcmb9kDl4H2iqMgZvtnVKEybxWjkyLSEtwepqZETYscO2WFtbbklEEaMkBM2WgTBHT1IF0nMg2AtRtlHtgiE5mYpy+rVqd0uBM+3SBGSZBmOJOW0RBCsQBh+HIuRQluLUQpRSs1USi11PVqVUl9XSo1SSj2tlFrjPCficw5orfuBDwK/0Vp/B5jg98tWIGSQcIHgx2JkvpPLEYREJ0ozDf3WVuhr66ZHlw+NNJuGpyuCkHKBkE57kcHMhdDeLt6XXLIYKSVRhGgRBHf+QbqwFqO8IhGBMG0abNqU2oaLGTb1zTdTt02D+Y/pFgjDlaScEiHS1pYxgVBQE6XFS1UVGkURASsQUojWerXWer7Wej5wONAJ/AO4CnhWaz0DeNZ5Hy99SqmLgUuBx5xlvmdgtQIhg0QTCJEsRuY7poLPdYGQSAShtRU62uRON+Q+4RIIcbYP/bFvX+YEwvbtkn8AuRVBgNgCIRMRBGsxyiv8CAR3DgJIBKGvTy6lVGEEwtKlqdumId0RhHCLUaaHOc32CEL4fddGEKJQXU2AIooG+mwOQvo4DXhPa70RuAC4w1l+B3BhAtu7HDgWuEFrvV4pNQ24y++XrUDIIKbdUl4+NAchPIJgBs0xE9QWssWotRXa2qUlN+Q+4VIFSkkbMS0Wo3RjIgimJZRLEQSILhCsxciSAO6GWqShJ70sRpA6m1F/f7DxnosCIdxilLPDnKYpSbmnJ9jpBgU2UVq8VFUNCgQzSMjWrcNbpByhRCm12PW4Isq6HwfucV6P01qbro4dwLh4f1hrvVJr/VWt9T3O+/Va65/6/b4VCBmkq0vaMErFzkEwQ/aZ0S3yxWKUqEBo74ggEMJ6jauqctxiZARCvkUQMmExckWT/GAtRtlNb29wOON4chAgdUOdmoBecbEIBK1Ts11D2i1GL74E5ME8CGmIIPT1yb3I3XdhIgipPs55gRNBUAP9zJ8vi9IhmvOQfq31Ea7HzV4rKaXKgPOB+8M/01prwPdZqZR6Wyn1VqSH3+1YgZBB3E6LWBaj+np5bNki7909QEoVRgTBNPTb2qC9UzYSzWIE0g5N+ShGmRAIEyeKnWnbNnmfqxEErztrDkQQrMUo++jpCQ5n7NdiZDpWUhVBMPMkHnmkTHRu6uNUkdYIQl8fA4/IZIM5bTFKUw6C2/JrKC+XKsxaZzwwOQgDfUyaJBO+WoGQUt4PvKG13um836mUmgDgPEfogfPkXOA84Ann8Qnn8W/gcb8bsQIhg7gFQiyLEUhvmGlvmc+UCvZybNkS7OHKVpJJUg5GEDTtfdKCiyUQUmoxCgQyl4Mwa5Y8v/qqPOdiBKGry3vWp0xFEIx67upi27bY14Y7B8FajLKPnp7grPN+IwgVFTBhQuoEgsk/OPlkeb7zTnj99dRsG9IcQVi+nEC/KKictRhpnbYIgnvYcUOuRegzymAOQi9Kwfz56UncL2AuJmgvAngESS7GeX7Y74a01hudPIYztNb/rbV+23l8FzjT73asQMgg4RGEaBYjCIbLIfSzigqp3E4/Ha6+Om3FTQkpsxghN4iIOQjpsBi1tMgNKhMC4dBD5fnll+U5FyMI4G0zylQEwSShdHfzgQ/ANddEX90rgmAFQvbQ0yPXc3W1/xwEgP32k5GMUoERCCeeKKfWNdfAUUelbvtpjSC8/joB5xafyQhCSkcx6umRG0YachAiRRDMz1rCcHIQVL+ovvnzYflyG3VNBUqpauAM4CHX4p8AZyil1gCnO+8T2LQ6zvXmfcTR7rcCIYN0dwfbs+GjJYRbjCCyQCgvlxvmu+8G59bKVpISCO1y9+/uVuxFGul+IggpsxgZf0EmBMIBB0hraMkSeZ+LEQTwFgiZiiDAoHreu1csIdHwykGwN7vswSSQ1tbGthi565ixY2HPntSUwQiEyZNh5Uq48UZ5n6rkzLRGEF5/nQHkxpGzE6WZHZNBixFYgeBJdbVYjByBcNhhIgbfeWeYy5UHaK07tNYNWusW17ImrfVpWusZWuvTtdZ7E9j0Z4HfK6U2KKU2Ar8HPuP3y1YgZBB3BCFcIMQTQSgvl9mFTfQ1mwn/X3HlIOwLdkVtd+b28JODkLIIwl7neszEKEZFRTB7ttxRlUrbsH5pIxsiCCACoauLgYHY55nXMKc2gpA9GIFQVxfbYuSuYxoaUi8Q6uulPn7f++R9LPHpF3O+RYqQJIUrguC2qBYXp99iZC53KxDyiMFRjOSktYnK2Y/WeonWeh4wD5jrzLfwht/vW4GQQSIJhEBAGvvhAmHatODrcIuRUe1pubGkkKRyEPYGa+ltTAQyLBDMEFKTJ6dogzEwNqPa2vTO3JwOsiWC4FiMAoHY55kd5jS7iUcguC+XhobUNeDdAsFsG1InQNJmMerslByEMIsRxFcHJ0Jvb/ByT1ogmBucFQjDj8lB6JeT9qCDpC1i8xCyF6VUuVLqEuDLwNeUUj9QSv3A7/dzrBWS24QLBNPLaXo6I1mMlAr2dJrvmhtUuiMI//d/8PvfJ/59L4uRb4HQHLy7mAiCGfZwkLAchJRajJYtk4NyyCEp2mAMjEDINXsRBAXCzp1DP8vURGkwaDEaGIh9nlmLUXaTqEAYPVpOuVTUA83Nsm3TPjUCoalJzp9LLoHGxsS3nzaL0bJlMDDAQInUj+77R2lpas/zq6+G3/wm+L6vL4UCweyYNOQgeCUpm3rACgQPqqoIUIxyDmpJCcydayMIWc7DyIRr/UCH6+ELKxAySHgOAgRzsGBoBMEM2Re+3F2hpVsgPPAAPOw7d34o4QIhnvB/R0vw7rKNiVSUDQwRUZSXD45cAymOICxbBgcfHDqTTjoxAiHXEpRBTsqJE2HVqtDlAwOhXYrpxlGIfiMI1mKUvfT0yHGpq4scKfWqO92N+GRpbpbogTlP6uqkYdTUJA7Ee+6BZ55JfPtpiyA4Qy0FJk6mmNALIZURhJ074ac/hYdcqZXu+SusxSh/0FVyUE0EAWRAgGzPgyxwJmutP6a1/n9a61+Yh98v+xIISqkipdRhSqkPKKVOVUqNTby8hYu7I9XdUxFJIIwYIfb38OXu9mq6BYKfnthohAuEqVNh40Z/eQidbcGVtjGRmmqPMfaVGvSdQxoEwrx5KdqYD3I5ggBw+OHBJGuD1104ncQRQbAWo+zGT5JyJIsRpMYGZASCQamghck0jJKpb9IWQXjnHRg1ioH6URQRCPkolRGEu++WutxYsSA0ByFpITJMAsHWA0PRpdJocQuEaNE9S1bwilLq0ES/HFUgKKUOVErdDKxFhli6GPgS8IxS6jWl1OVKKRuF8Em4xQjkBmEq0SG940iDejgFQn9/cjcTL4HQ1wfbt0f8yiAdbZpSpDLaVjSZmroIp5rLV5Qyi9HevTLRRCYFwtix8sjFCAKIQFi9OrS717SeMjmKkc8IgrUYZTe9vYnnIEBqIgj79oUKBLP9PXuCAsFr6g+/pC2CsG0bTJpEoLjMUyCkIoKgNdx2m7wOFwhlZSkSIjYHIWsIaAmjqb7gzrECIes5HliilFrtzKL8djwzKXs0SUP4MfAH4AvOVM+DOFGES4BPAXfEWeiCJJJAMI2TcCEAkqi8dm3oMrfFqLPTewSkVNHfn/oIAshERrFyfzs6NOPYyRam0BsopSaSDdVMDEEwgqB1qO82bpYtk+dMCgSA//mfoJ8/1zj8cNnxS5fCCSfIskxHECorYc8eG0HIA0wEoaREGiFe17TXMKdmcrVUWYzCBzELjyAkIxBMQ7SrK8X1+LZtMHEigaZSigkN15aUpEYIv/GGjIM/cmSoQOjrS6FASMFIchs3ypQ2c+eGLjc5CFYg+GNQjPeFRhDa2obe5y1Zw/uT+XLUQ6q1vlhr/WK4OHA+26W1vlFrbcWBT8wND0JDmZEsRgDHHCND5Lsx3zV5Wymz1HgwMJD6CAL4m+m0o1MxgWCoIWKemitsYDqqTeWfMMMlEP7rv+CiizL7m6ni8MPl2W0zMidnhi1GgUB8w5wqJQ0nKxCyA62D9WV9vYg9r4Z4pGFOIT0WIxABkiqLkft8S0ZoDMERCANFpRJBcN3Cw4fYTpRnn5Xniy+WBrg5Fr29Ig5SIkR275aDm4RAuPZaSSYPx/Rd2JmU/WFOoXCLEWT/cOuFijOb8hTgVOd1J+mcKE0pdZxS6mylkuqfLUj6+4M9lV5Jyl4Wo29/e+gwYqZCmzNHntN5cabaYmQSr9evj/3dzu4ixhXtHnwfMcocZjGCFNiMli6F8eNh3LgkN1RATJggD7dAMAciwxajeEcxAun1tAIhO+jvl+NTXh68BL0GyPKyGJl5DVOZpOzGWIyMTTIVFiNIYT0+MCDqZeJEAsUlEkFwXQy1takZHts0oqdOlWNltplSi9GePbLDk+iebmvzFovWYhQfwQhCcOeYTrtsH269UFFKXQd8F/ies6gU+Kvf78e86pRSdyqlZjuv/wv4LXAl8Je4S1vguGdL9spB8IoghA9x6v5uJgRCqpOUKyqkDekrgtBTQk1p72Al5EcgmHZo0lGVTCco5wvhicqZjiAkOA8CSKPG5iBkB6aBVl4uOh28R0vxshiZkY/SKRCamlIjENwN0ZTV47t3y46ZOJGAiSC4Qqqp8o2b68tEbIzNyG0xSjrXYfduGDMmqU309Xn/XxtBiA8jEMJzEMDmIWQxHwTOxxnaVGu9DfA9ZnCsJOX9gSOANuf1FxBx8GXgGKXUfkqpHB1yJfNEEgjRLEZemArNDHqTzRGESDNE+xIIvaVUl/cPVkIRBUJYDgKkQCCsXStDnFri4/DDZQQVc1IORwQhjlGMwseHtxGE7MCvQPCyGEFqZlPu7ZV6xMti1NcXzA1LNoJgxE3K6vFt2+R54kQGikpEILhCqqkUCG73jxEIxmKUkgjC7t3BpJIE6e2Vvx9elq4uOb/c4tIKhMgMWox6rUDIIXqdFAENoJQKn0kqKrEiCCcDNcBpyGQL9cABwEnOd08Gpsbzg4VK+GzJfi1GXlRVSeV70EHyPpciCBCHQOgro7piIK4IQkosRp2dslOtvSh+jjpKTvSFC+V9piMII0ZAW1vCEQQrELIDt0CYIHMkRhUI4XVMKmZTbmmRZ68IAsCKFfKc7DCnxhKVsnrchDacCEIxAyERhFRZjEyHl9k/+/bJc0otRimKIMDQ/9zdPbRashOlRcbLYmQFQtZzn1LqT0C9UurzwDPALX6/HCtJ+Q7gcWS0oo8Cf9Ra3wk8AOzSWt+ptfY9ZFIhMzAgXZXxWoy8+PKXZQIzUzFncwQhkkDYtCl2EmnnQDnVVTp2BCHVFqPdTt6DFQjxc8IJcpI//bS8z3QEYfJktHMnSyQHwVqMsgO3QGhokLoxHoFgEomTwfSIRxIIJnKQbAQh5QLBFUEImAhCmixGboHgZTHKBoFgRH+4QOjqCrUXgY0gRGPwWusNPZfACoRsxMkTvhdprz8IzAR+oLX+TdQvuvCT+fMl4JfAdVrrnzrLGoDvxFfcwiYQiCwQ4rUYTZsG558fbDDnokDo74etWyN/r68P+nQpVdWkTyD86lfwfo9RwEw2ZK4ONzqc1NbC+94HTz0l7zM9zOl++zGAXEjWYpS7mAZaWZnUi2PHes+dEqnuTEUEwfSIRxIIhmRzENIiEJSCceOCFqM0CIS+PrlmwgVCykYx6u+Xg5CiCEL4f3YPO26wE6VFJpiDENw5Nkk5e3GsRY9rrZ/WWn9Ha/1trfXT8WwjpkDQWge01v/WWj/rWrZJa70wgTIXLOERBK+ZlP1ajAyZEAjpshhBdJuRuelW1xTFlYMQl8Xo1VfhhRdChgAEYNcuebYCITHOPFOG3tq9O/MTpU2ZQsCp1qzFKHcxx8E02MaPj99ilGwOQqQIgtsSP2pU8sOcGsGRUoEwZgyUlhJQJUMsRnV18rvJ9pJHiiCkzGK0d6/UzRkUCNZiFJlgDoLrXFr0DACtX70GzjkH/vWv4SiaJTJvKKWOTPTLsZKUH1VKnaeUKvX47ACl1A+VUp9J9McLiVRajAy5HEEAnwKh1odASDSCsGePfC+8C9AKhOQ46yx5fuaZzEcQpkwZjCDEsrBZi1H24rYYQfwCYfRoaRAmczxjWYwADjxQGsRuMXrvvWKh9IPbYpSyXlhnDgSAQFGxZwQBko8iGIFgtpfyUYyM1TMFScow9P965SAoJWUfDoHw1FPB6XeyES+LUe1NNwDQOm2eFP7cc2HduuEonsWFUuorzsujgVeVUu8lMpNyrAjC54ETgHeUUq8rpR5XSj2nlFoH/AlYorW+NaF/UGBEEgixJkqLRq5GEMwMytEsRp0tcmevGlGakEDwFUEwHgRzIzJYi1FyHHaYtKKeeirzScp1dQTqZFgVazHKXfwKBK9hTiHYiDcT8SbC4sVSX0+aFLp85MjgeWMmsTR9DH19MnHYn//s7zd6etIUQXAEwoAaajFKlS3ECITiYhEJKR/FyNTLaUpS9spBgJCAdEb50pfghhsy/7t+GbQY9QcbLWVrVlBR3EvrWR+BW52moNeFask0puP+LOBA4FTgPOBc59kXsZKUd2it/1trfSDwEeBHwDeBOVrrM7TWD0f7vlJqg6NYliqlFjvLRimlnlZKrXGeRzrLlVLqJqXUWkfpLHBt51Jn/TVKqUtdyw93tr/W+W7WTt4WLYKQqMWorEy+k07/XzoiCJWVUnZzQ/GiY5fccatHlPgfxUjrwXao7wgCDBUIu3bJj2XKFpNvFBfDKaeIfaurK2hIzhADk2U2Pmsxyl28BMLOncFGiiHaMKeQuM2ovx/uuktcE+GT+BYXB6MKBx4oz0YgtLSEThoWDa3lfKutlUskHQJh0GIUNswppC6CALI/Um4xSrFA8GMxAhEIwxFBaG4OjpyVjQxGEMywufv2we7d1FX2yb41obBkVLklpWitN3o9/H7f9/SEWusNWutXtdZLtdbxuC5P0VrP11of4by/CnhWaz0DeNZ5D/B+YIbzuAL4A4igAK5DQiVHAdcZUeGs83nX986Oo1wZxQgEr2FOE7UYKSXt2HRFEEyFkGqBoFToDcWLQYEwqtxfDoIzrqVvi5HWwdaDsRQZdu2y0YNkOeQQ2LhRDnKGhVZg0hTAjmKUy3gJhP7+oW2PaBYjSDxR+cknpSP08su9PzfbNxEEU9+YOs1P4rJ7tuiU1eP9/aKkBgVCei1GpY75eORI+e8DA3JMUiIQTP2colGM4hEImY4gaC3ly+bRgAZzEAjICb56NQC1NY4gNqrc66K7/nr4xCcyUk4LAHOVUq0ejzallO+zLPH5yxPnAuAO5/UdwIWu5Xdq4TVk3NYJSIjkaa31Xq31PuBp4Gznszqt9WtOtvadrm1lHX4iCPEKBEivQDANLK2H9tz5xUsggA+BsFvuuL4Egisz2XeScnt78M7hFUGwQ5wmx4EHysFftSpz9iKHgYlGIGj4/OeDlrEwws9NazHKHsIFQqS5EKIlKUOwrRIIxFeH3X67iIBzzvH+vKFBOkxNdMEIglgCwZ0XY861srIU1uO7dkmFPWgxSp9A6OsbGkEwgiAloxilKAchkQhCpgVCT0/kGZ+zhZAIQmfnoECoG1UcO4Jwzz3wn/9kpqAWgLe11nUej1qtte/JjdMd99fAU0opDfxJa30zME5rbQas2wGYltgkYLPru1ucZdGWb/FYPgSl1BVIVIKSkhIaGxuT+EuJ0dYmV9eaNatobNzpXGwns3r1esrLW4D5vP32mxQXxxdjLCo6knXrOmhsXJnyMnd3FwEnAvDMMy9QVqajf8GD1tYj2bt3aPmKihawbl0/jY3e+TIrlrQCM9jctJmdvcuBOaxZ8xqdnUNr7ombN3MQ8PIzz9A3ahTFxSeyatVmGhvXe267vb2d1x57jGOc9++99hqbp00b/PyIdevonjCB5cNwnuQLdS0tLAD63nyT/upqFvrYl+3t7Sm5Nqv7pBXW19UPf/4zKyZOZPcppwxZr6vrWHbs2Etjo9zoWlvnsHdvBY2Ni5MuQz6RquMSD2++ORY4hGXLFtHc3Mn27SOAw3jyyWXs2bNvcL133pkEzODVV1+iri4YMtq1qxw4lpdfXs3Ikdv50Y9mUVQEV1+9KuZv9/YW8fDDx3Peedt45ZW1nuuUls5m1KgK1q5dD8zlP/95g337WlmyZCQwj02bdtPYuCLkO6tX13LllYdx550LGT++h9bWEuB4Nm5cQ1HRRNavT6weN8en4ZVXmHLvvdQDb+/dS1NjI7ubplPMAKuXLWO7cww3baoEjmbhwpXU1OyKsuXo7Ngxm56eShobF9PfP4cdOyp49tk3gRPYvHktra317NuX+PU0felSxldX89LLLydcRoCuruOAUlas2Exj43uDy5ubj6GlpZnGxndC1u/vP4ItW7qGHL94iee6aW4uBY5jz55uGhtfS+p308XOnXJNKTSLGhsZ98wzTCkuJlDSxaZN3TS+8QYnFRWx6Y03WO/636UtLRz37rv0V1fzUhbcU4ejPstZtNa+HkAlMNPv+s53JjnPY4FlSGuzOWydfc7zY8DxruXPAkcA3waucS2/1ll2BPCMa/kJwGOxylRVVaWHgzvuWKhB63vuCS4rKdH6e9/T+l//0hq0Xrgw/u0eeaTW739/6srpprVVygVat7cnto2DD9b6ox8duvyss7Q+6qjI3/vr1xZp0Hr1P1bo3l6tn302yo/ceqsUcv16rbXWdXVaf+1rkVd//vnntX799eCf+9a3QlcYN07rz38+yg9aYrJjR3D/zp7t6yvPP/98Sn56+033adC6hF75/T/9yXO9CRO0/tzngu8//GGtDzkkJUXIK1J1XOLh9tvl0L33nrx/9115f9ddoev96leyfN++0OUdHbL8//5P3s+Zo/W8ef5+e9Mm+e4tt0ReZ+NGrVet0vrFF2Xdp5+W5ffdJ+/POGPod/72N/nsiSfk/fbt8v4Pf5B6/Oyz/ZUvnOeff17rvXu1Li/XeupUra++WuvOTq211hee06MPZZnWN944uP7WrfK7f/xjYr9nOPdcrQ87TF5feqnW+++v9Z49su2bbtL6oot8X/refOxjWk+fnlwhtdZVVVIm97WutdZjx2r9hS8MXf+ooxI/Fm7iuW7WrpUyjhiR/O+miw0bpIy3cpk0Vi66SOuZM/V552k9f76z0ujRWn/xi6FffOQR+aJSWgcCGS93OJmuz4AOHUe7ORUP4Pup2I4vi5FS6jxgKfCE836+UuoRH+Jjq/O8C/gHkkOw07EH4TybLoytwBTX1yc7y6Itn+yxPCsJtxiBhM97elxDelbHv91MWIwg8VBxwhajZvnB6rHVlJbCqadG+RETJ3bNhRDRYvTSS5Q1NYVmL7otRoGAvLcWo+QYOzZ4QmfYYhSYKNWCGe400okWnoNgLUbZg3uiNJAcBBg6WVoki1FVlZx2xmIUfslHw6wXPiGam/32g4MPDp7ifixGpp42NqlBi1FJIPl6/O9/l5320EPw4x8PXnPpzkEItxiZ/5SyUYySzD+A3LAYmbK1tg6dlidb8LQYzZwZOvHeqFFDLUavvCLPWic3q6DFN1rr/03FdvzmIFyPNO6bnR9fCkyLvDoopaqVUrXmNXAmsBx4BDAjEV0KmJGQHgE+7YxmdAzQosWK9CRwplJqpJOcfCbwpPNZq1LqGGf0ok+7tpV1eAkEM95ytgoEt1824wKhRdRJ1XgfdjkzVt2qVXDOOVRVBCInKZ93Hvv/9a/BVkBdXahAaGqSQtsk5eRQCqZPl9cZTlIeGCf+a00RAVTEEy18mFM7ilH2EJ6DYAYVC89BiDTMKQQnS9NaLmu/CctmvWgCwRBJIHjVP+ECYfA/fvUL1BR1JleP33YbzJ0L8+eHLA5QNGQUo+pqOe9TmaRcXy/bMw3rlI1ilKRA0Dq3BEI2t6EHhznFyaheuxZmzqS21jVql9cU5kYgQHYnWViG4Fcg9Gmtw83xsXTuOOAlpdQyYBHwL631E8BPgDOUUmuA0533AI8D64C1wC3AlwC01nuR4VVfdx4/dJbhrPNn5zvvAf/2+X8yjp8IQiLtqExFEBKdCyGWQIjUW9LZKj9YPb429o+YWv7ee+Hf/6ZKdXkLhEAAmpup3LIlKBAOOSR0FCM7SVrqMGNAZjqCMHb84Ov+6vqoAiHSKEYDA/Dd70bMb7akmfCZlJXyngsh0jCnEGyrmPEIurv9DX9s2jd+cmNNne0ngmAaUYMRhGWSD1HW1UxN396E6/Gq9evh9ddlyKWwkb4HAooipUNavEoR2uubIOFJyu6B4VI2ilGSAsF933L/3/5+eWSLQHAPi5utbeiQCMKqVdJ4iRVB6OuDRYuCIcBs/XMWT/wKhBVKqUuAYqXUDKXUb4BXon1Ba71Oaz3PeczWWt/gLG/SWp+mtZ6htT7dNPYdu9aXtdYHaq0P1Vovdm3rVq31dOdxm2v5Yq31HOc7X3H8XllJ+DCnEBQI5qZVaBEEc9P2oqMtQAl9lFX5yKM3tfzChfK2qMfbYuTs6Mpt2+TmU1wMM2aERhCsQEgdRiBkOoJQUj74un/cpIQsRu++C//v/8E//5m+cloiEx5BAGnw+x3mFKSBHx458GMz8mMxMpg6288wp6ae3r4daGuj58pvA1BGL3WBlqgR1WiMe+YZaalfcsmQzwIBKC7SQyraurrUTZQGwXkhTPWZ9ChGRm2kaAQjCG2bmt2RLQLBXbZ0zmuUDCHDnJrEcUcg9PQ412x4BGHpUtmZZ50l761AyChKqXFKqb8opf7tvD9EKfVZv9/3KxCuBGYDPcDfgBbg63GWtaCJFEHo7Q3eTBLpaM3lCAJEthl1dEC18jndhtlxGzYARI4gODu6YscO6cZraBAhsHt3sPYzdzibg5A8xmKU6QiCazjL/hENCVmMzPljJwUdHsJzEEAa4+EN71gWo3CB4MdmZNYxozZGI64chC3y4Y53W+Haa+ndIWqnvKif0YFd7N2b2HDSoxYtguOP9+zUCASgSDGkxVtbm/ocBAhWn0lHEJqa5MtJ1sNuy6C74W06kCLNpBxzmOwU4z4W2dqGDokgPPooTJkC8+cP5rS0tTE0grDSGZXrRBkNMWv/XP5yO2LTn+i8f5c42u6+BILWulNrfbXW+kjncY3WehgmI89dvGZLdluMKiu9b3KxMAIhHbGTdCcpg0zG6EVHB1QV+5zOMqyWr9LtUQWCCgRgyZKgQOjqCt7RjafERhCSZ7giCK7IV3/dqIQsRqaBYAXC8NDTI8fDLeCqq4dahGJZjPbsCY0a+BUIdXVBf300ysrkHPKVg7BZGk47lm6H3/yGngs+KtsYXUdDzzbjgAwSCMRuqe7aRe3atXDGGZ4fDwxAUTGeEYRU5yA4xQGCAiHRjqXBhuWsWckUcfB6LioK/b9mt2ZjBCFb29CDOQhKSYb+Sy9BTU1o0vuoUaIUzI7ftk2ezXHM1j+Xv4zWWt8HBAC01v3AQPSvBPE7itHTSql61/uRSqkn4yxoQRMrByERexGIQNA6PT0e6bYYQeQIQmdzD9XlPu8uYbV8ZX+79/5wd+u99ZaEr43H1diMdu2S1oaf7kNLdLIhglA7MiGLkY0gCLt2QU9P5ufT7OkJtReB6Mzwnvlgo2XoNkaPlg4It4PQr8XIr7NFqVDhYk61vr6hdWZ7q/Ti7FATYNIkei+7AoDycfU0dGwCoOnHfwjaN66+GqZNk9FitIbNmxnCM8/IcwSBIBYj0iYQwiMIZl8nPYrR8uXyPHs2IGWN1JkUDfP7o0aFjhCUjEDo7AxNW0sFuSAQBi1G/3MdvPqqDOWFRKMgbDZlE0XYvl1ONjPTYbb+ufylQynVgJMzbAYA8vtlvzX/aK11s3mjZUZj28UaB9EEQmdncgIB0mMzyrjFqKNDaqGeHjpaBqiq9rjre+Gu5auqqA80sX27R5ndrYtAYKhAWLQI/vhH6R1JJJxjCWXyZBgxIuPRGLewHaiLLBC8LEaBgJw3ViAIxx0Hd965f8Z/10sgeFmMzDH0EggNDfL5e8G5sXxHEPzkH3iVy32qhZfV1NEtgTq6Xl9Ob6lU+mXjRzG6RQrZ9Ks7ZBpngBUrJKJ5+ulw5JHSIHvzzdCNPv00fXV1sGCBZ9kG69805CC4k5TN/triTF2atMVoxQop5GQZsvhLX4KPfjT+zRjB39Ag9YIRBsnkIFx/vVwXqcR9LLI1B2HQYnTIwcEbOAyNIECoQJgwwXts3d7ezHu5Co9vIiOEHqiUehm4E0kZ8IXfVlBAKbWfeaOU2p/YoxhZXKQzggDpEQgZjSD09MgN8A9/gFWraKea2pE+J/o2tXxpKbzvfZxX9hRNTfD002Hrhd+xR48ONl6ff14mW6irg4ezdrTc3KK4GN54A77xjYz+bEgEoabet8XIOKE6O63FyLBnD6xbV5Px3/UrEAYGImt502hdvTq4LBMCwYiVIQKhM1jQnV11wUTsiQ00NL0rv01D0Jaxfbt0VnR0wCaJMPCOa9ZfreHpp9l32GHeHitcFqOwhliqIwiTJklP8pIl8t5tMUrI/rp8OcyZM7gzt28Pio94MPctczxN4ztWBKGnJ3K5330X1q9Pra23tTXolM3WTvZIAwKEtP3NjjYXmhEIJszQ4uq8/uIX4aST0lZeC2it3wBOAt4HfAGYrbV+y+/3/QqEq5EhS+9SSv0VeBH4XryFLWRiCYREbdrZHkEYGPC+d40cKc+DbbfNm6XX4eGH4e23aaeGmjE+rSmmZp01C6ZM4QPdDzJ6tAwNHoJzx9amhnNHEK6/Xu5qL70U9M5bkueAAxJXvwkSkoNQUy+tAdMacxFuMXKPSOOOIGTv2GjpZ2AAtm/3yORMMyYHwU1VlXcOQoS28aBN6N13pb6pq/MvEOIZPMdtfWpuDubVhpe1vbuYCiVd0zt2uCZKmziahl4RBXsYHRQI27bBscfK4AsrVsgy90xxq1fD1q3sO+KIiGUb3D9pTlIuKpIpGNaulfdmFCOzXlxoLf/XsReBFD+Re1y4QDD/OVaSMnhWGYAcu4GB0LZusrS2DgZLsl4ghEfrfEUQSktFjZk/19Ehk/u98YadfCYNKKUuMg/gfGAmcBBwnrPMF36TlJ8AFgD3An8HDtda2xyEOIg1UVqibSgjzHMtgjBihDwPCgTTQ/bSS7B4Me2qlpqxPlWTqdHnzYPx4ynbtYVPXKJ5+OGwYRGdu3jnFGdi7oaGoEDo7obrroOJE7HkNkMiCOB5Nw8/N90j0pjGXXd39t6wM0EgADt3VmRcJEWKIHR3h9ZLkeoXCI0gNDRIo99vDkK8EYTOTmnndHZKbzp4RBB6SjmwfCsgjczBkZomj2U0UrDBCMLAgNiLjD1j9GhpYBnxAIOJvG0zZ0Ysm+wfFdFilMioSQZ3kjKEztFmIghmvbjYuVNU2pw5g4t6ehK7x5m2pxF84QIhUgQBItuMTFTR78zcfmhtlVtRWVn21jeDOQgRIgiDoxiBHD+tgwLBrGj+3GOPycUyMBBUlZZUcl6Ux7l+NxJVICilDnaeFwD7Aducx37OMotPYs2DkKzFKB2+xXTmIFRUyCMkggCyM+6+m/bSkdTU+gxwFRXBl78Ml10mE7L093P5B5vp7ZW50wZx7tgdBxwg70ePlh1fWSnzIXzxiwn8Q0u2ESIQqsOVaOh64aPkgJwmbkdGIduMBgagu7s4pY0hP/T2egsECO2Z92Mxam+XS91rklev321rS8xiZE6xiAKhr5zptTJK2vbtrsng9hvHCFoopl8Ewq5dssLAQLDDQil57RYI69cD0G0aYB4MDEBRibdASHbWXncEASILhLg7l0y0xCOCEK9QjRRBiJWD4F7HjdbB+sDvzNx+aGuTY+LX+tXdDR/7WGh+TbqJZDEynZQhFqO9e2VBV5e3QPj734Mnz6pVaS13IaK1vjzK4zN+txPL5P1N4ArgF15lAE6No8wFTbosRm7fdKpJ5zCnEJxNGQgKBKWgqYn28tpB8eOL3/5Wnp1hNOaN2UZNzUjWrHGt49wN2w88kLHPPy+tBqXgd7+T6EO4p8GSk4RYjGIIBK8cBHcEAaRBEKWTNq8xjYING5Ke1DYuIkUQQI6NaZREsxi5G/kmSTWW0DERx3gsRtXVsl1zipk2/RCL0UAl00Y2o/bIOWX2Z9n+E1DAKPayp2isDEj4xhvyobvxHy4QNmyAESPoj1JRRrIYuXt9zb6MF3eSMoQKBDOKkVkvLswIRmERhP5+b+EYq4wQ2WIUr0BoaQlGflIpEFpbZVqB2lp/nX3r18N990naXKYcsZEsRtXVsqy1FfkDJSVyIRk7XLhAaGmBf/9bOvT+/OfQvBpLSlFKfdNjcQuwRGu9NNb3o3bRaq2vUEoVAddorU8Je1hxEAeBQHqSlNMpENJpMQIPgTB69OBdpr2/Ij6BYDBTuu/YQWVlWG6eIxD2HXaY3L1Mq+/yyyOOAmLJPUIiCFVOS8hDIPjJQQAbQYDBOQgzRqRhTmHoYGSR6pe6utBRdvxYjOKZRdldrs7O6BGEgQHo0pXUj9CMGROag1A+eQyUlDCaPTSNOkgWmmxft+XRSyBMnRq1bJKkXBRRIETtre7uHuoPX7hwsIc/PIIwe3bwfdIRBDNHjYNplMdrM3KPYgT+k5TBWyC464JUC4R4IwipLkMsIkUQiopcOS1Kic2oqSl4roYLhOeekwN62WWiimwEAaVUvVLqAaXUO0qpVUqpY5VSo5wpBtY4zyMT2PQRwH8Bk5zHF4CzgVuUUv8d68sxPRxa6wDw2wQKZnERayblbBQI6bQYgYdAmDIFTj2VXkrpHShJTCCYDMFIAqG4mLZZs+ROY8bpt+QVIcOcVjndowlYjEzPtBUIg26WjBEtghDe8I5UvygVbBg2NPizGJnPU20x6miT1lXtiCLGjw9LUq4shokTaaCJptqpstAIBK8IgvHZ+BAIgQAUFashoxiF2EIiccYZ4mNx84lPwJUySmK4QCgvh0MOcf5TvAJh8WJp9fb3w5NPwhFHhFycpkEcr0BIJknZSyC4c8RTnYOQ7QIhUg4ChJXbzKZsdpYRuWaldevk/ezZMrCIjSAA/Bp4Qmt9MDAPWAVcBTyrtZ4BPOu8j5fJwAKt9be01t8CDkemKDgRuCzWl/2OYvSsUupDSnmNNm3xQ7rmQTA9ILk2URqIQBic/MYIhE9+ko5jZdKfpCIIO3dSWRlWyRslppS1E+UxIRGESm+B4HWzC09SHjdOGjnuRkEh4fZ7Z0MEwUsgRLMYQbBhaHIQ2tqiD5piGlzxWoxiCYT2bdJ6qhlZOigQBpOUy4DJk2mgiT1Fju9o8WJ5NvUZSEOro0P+hNa+BUJxhBwEiNIY7e+H11+Hf/5T5ocBsYa8957MxaD1kCRlCNqM3KMYxbx3tLbCMcfAF74ADzwgA1Z86Ushq6QqgpCsxSgdEYRAILEcBEitSIlFpAgChM2rYSIIkSxGGzfK6/p6Gcb3nXcKeqg4pdQIpMH+FwCtda8z79gFwB3OancAFyaw+bGAezyuPmCc1rorbLknfgXCF4D7gR6lVKtSqk0plaW59tlJJIHQ3S2VVbbnIKQ0gqA1/PCH1Be1hEYQ9tsP5s+n/d5/AQkKhBEjZMdGiiBkeMhNS+YJyUGIQyC4ryUj2k1jrhBx78dsEgjuui5aBwQEG/rGYgRhI5uFkajFyC0QvHIQBgVCQzkTJgQjCCUlTvmnTGF0aStNnZWieHbulEK4d4LZ8LZt8ifa22Wm5ShES1KGKI3R9euDrfIf/lCe33KGT29uhk2bhkQQQDzxI0dK3e17FKPmZinonXfCt74FBx0E54YOtJJsBMFY4/0kKZtl0QRCeXnqBIIRkrW12R1BiDZreciwuaNHw9atIhAqK4Mnm/lzGzbA/s7ki7NmyQ5IZJKL3KFEKbXY9bgi7PNpwG7gNqXUm0qpPyulqpGGvOme2gGMS+C37wYWKqWuU0pdD7wM/M3Z/sqYBffzC1rrBNOYLIZIAsHchBNtt5aXywWbUzkITU1w3XXUT5xPc+/50vXQ0iIRBII3gYSS55SSrl8rEAqWkAhCSYVcdGECwetmFx5BqKqSTq5CFQju/ZhpgWD2v5t4cxAg1GJk/s+ePaEd827ithhpTXUV9PcrMz6CdwRhu3Sv1oyuYHyfnFPd3a5A5tVX09BXSdNjCj1+AmrrllB7EYQKBFNJ+rEYlRVJBe6alCZkaEovjC/8vPPg0UfF8rR0afBvL11GX9/+QwTCpz8trqTy8jgsRmZHFRXJf/vDH0IOqtbBSECiAqGsLDgcLch9oaws8gh7EFkglJfLbk9V771pWJsIgp8k5ay2GJ16KjzyiOyoCROClaw7gmDO24MPlud33hm8/+ch/VrryJOVSDt8AXCl1nqhUurXhNmJtNZaKRV3mEVr/SOl1L8BM/f3f2mtnfAkn4j1/VjDnM5QSj2slFqulPqbUmpSvAW0CJGGOTUk2m5ViqEN4RSRtlGMHF/RyG3Lad4XQG9yRjByKghTQSYUQQC5++/cSUWFFQiFSEgEYUBJl2YEgRDJYtTVJdeV6e0tRMx+VEqzYUNmXQBeUdV4cxBgaA4CRG9UNTXJcffqWR7CwAAccADVb78GSKdpSYmIypKS0HK2bZeWbc3YSsaPlwbvrl2ue8ChhzL6mOn09kL7eCc3KnxOFiMYtm0LKjZfFiNnB7lm/ooZQTAC4be/lZb03XfDsmXy55Qi8OYyYGgEQalgAztugXD99XDFFXDppSEfuy1h8Q7nPZjnURY6oV1Xl3f+AcQWCOPHSyd5qhrnboHgdwK7bLQYDZb74ovlxHjrrVCRW1cnjYp33w1GEIxAKOxE5S3AFq31Quf9A4hg2KmUmgDgPO9KcPt9yNhoA85r38SyGN0KPAZ8CHgT+E0ipbNEjiAYErUYme9mo8VIa3kM8Qg7AqGeZvoHiuhc64x2EBZBSFggjBsH27dHzkGw5DUhEYR+wrLhBa/eMBONc0cQCtliZPbjmDE9dHVJgzZTdHYObaRHshhFy0EwtqLRo4OvYwkE3/kHbW2wYQPVS14ERCCMHCnnkLsxCtC+W3oqasbVDEYvNm4MTYUaFDCjZsiLaBEEIxBMQysCYjFyTnJXZRgzSXnVKvm9/faD00+Hf/xDIghHHAEzZtD/5tvAUIHgJm6BcPzx8Kc/DTnw7jo80QhCaWkwVwSCHQBe+BEIfhLe/RIeQejqir3Pss1iFCIQxo6F979fXocLBJDCm/N23DixBa9enZYy5wJa6x3AZqWUGUz7NMT+8whg1PKlwMPxblsp9TXEZjQayUf4q1LqSr/fjyUQarXWt2itV2utfwZMjbeAFsFrmFP3zSGZdmu6BEKyFqOIPQ5GIBwuPWX7/nSfLE+VQJg8GTZvthajAiUkghBBIHidm0oFbQhugbBrV+g2CwXznydOlIsols1o505JUjWDlCRDqixGboFgGuDGCuRFXLMoOy2imnXizf/Xv+RUg1A7C0D7HmnR1UyoDREI7k6iQYEwwpnIMTyCUFsrlaIRCPX1wR+MQCDgLRDKyuS3IwqElSvFHw7wwQ/K7y1ZIgd4/nz6l8lQp+FJym7iFggR6mZX4CNpgeCeIT0ZgZDKCIKJihiB4F4WCXNfa25OPD/wpZdEk0VL2nfjO0kZglEgL4EAwciXUjKRQyZnfMtOrgTuVkq9BcwH/hf4CXCGUmoNcLrzPl4+Cxyttb5Oa/0D4Bjg836/HCsHoUIpdRhgNGOl+73W+o0EClyQxIogJNNuzYTFKJFKKGKF4jTWaj50JiyB9n+/GJwplBQIhOnTobmZyqIeurpcO7m9fWivnCXvcEcQBgaIKhC8Jv1xW4zMjLNdXUmcjzmK2UcTJ3azdKm0EY8+OvL6y5eLC2XxYjCTlSdCX5/UN5EiCPFYjD7xCTluEybIulVV0UdVbG6WQVh84bSuz+IJ/vusZXTPnMdJJwXLGhJB2CutsJpJIyhyGmRbt4bmGBsxs6fa6V31qqsmTpTkz46OmPYikEbuoJUm7CYR0e+utewk08g7/3wZYSgQkAklR42i/74ngOgRBN+jGMUQCMlEENwWI/cxidZXFEsgHHus7Ls9e2RXJTu2oxFpJknZLIt2HpqyaS39bYlMYvjaa/DyyyKYTd5MNKLlIBhr1OD+OPdcmVvo+OODK40YEXztjnxNnx6cGLBAcSYt88pTOC3JTSvEWmQYINiej0ksgbAd+KXr/Q7XezuTchwYgRBuaTAUYgSherzUhp1Uyc3Q6XJKWiA4U0tW9LbQ1RWcbMdGEAoDzwhC2CgZkW52phFherDdjYVCEwhmP06Y4C+CYDRYsj2rph0bHkGoqAhawAyxLEbjx0vbFmS9uXNllM5INDfLIDq+cFp2Dezlp8Xfh1//a/CjIRajZulhqakvoc455wYGIkQQyp3IQXgEwSx77z0p6Ny5MYsoVZ5zsnuMZOQZQdi6VZSDmdRg7Fg47jj4z38kgtDQQB9SV/uxGMXsXMpQBMF9TNrbI1/PkQRCf780psePF/Ga7BDlhnCLEcSOILjL1tSUmEBwJ2z7IVYEQWvZvzU1yIlt5vJwr2QIFwgPPTR0Yg1LKrgNGcXoH4gwuABnOFU/RD0aWutTkiubxTAwoCgpCe1tSFUOQmVl+nMQ0iIQxkrN2nHSB6AhOOJWqgRCZfc+urutQCg0/OQgRDo3TSPCSyAUGmYfVVf3M3q0f4GQbOKkqcvC60S3BcxdxmgRhHDmz4d77onc87tvX0zXTpCWFnk+9lh45hlJ6P3gB2HSpKEWoxZRW2b4TzMHjmcOQs1+8sLM9O5m4kT429/k9be+FbV4psFWXe38Ub8CwSSMGosRSPJwU5OUqaqKfqfpkNIchAxYjEweTSICYfdu2afjxwf/W1NTegRCrETlcIGQCO58DD/EykEAKXfE+7ZZqbIyVNEceKBU1Js2JRd6tAxBa/1LpVQjcDzSqX+51jpKF0kocVStlmQwAsFNKiMI6Z4oLaUWo337oLycqpGyAzq++0OZIMfB3AQS3idOJVPZ0WRzEAoQzwjC3r0hw/BEsxh1dgYtRqaxkI7rK9sx+7GoSNwssWZTTnUEwcsjHt4zH8tiFM78+dKu37jR+/Pm5jgEgmnFffe7ksx75ZVwzjlAMBK1YgU0NkJ7m6ZM9VJWJueccQ+5BYJJcG6qnSYRrzlzhv7mxz8OH/0ovPoqfPGLAGzfXsGTTw5dtbtbTvmqCAIh4og5K53OGrdA+OQn5c+UlkJNTUYFQiotRka0tbdHHkbb3JfDBYIZrMAkKUNqRhFyW4x8zXAdVrY9eySfILzDPhZmt/vt/IgVQYAY5TYr7b9/aMU73Rm1a+1afwWxxMsAIg40MpqRb6xAyBADA2pIKDzbLUZpiyA0N8PIkcFRSbpUSIXR3i4Ns4SjjVVVMHEilW27Bm+SaJ2aeLAl6xkSQTjwQOmG3LRpyDrxWIwKjeA+0kydGjuCYGZFT1YgRIogwFBvf7wRhMMOk2cvm1Ffn2w7boFwxBEydON3viON6J6ewXL+939Lm769Q1FTEjyJTKKy+x5QUiI6Y/FiIpvCzzsP7r1XZh52uO++KXz4w0OHoTX7sbp2aJIyRIkgbNokO3/sWI8PgerqQYGQ0iTlCFnDqYwg+LEYKRWcxNTN1q3yPGGCvyFz/dLRIeUrKwva9MMCnkMIjyBcfjlcckl8QxHHazGKNQ8CxLBGuQWCGyfibxOVU0+6RzGypIh0RhByLkl5374QgeC+4UP0yts306dT0SxdPt3dyA7S2gqEAmBIBMF4tc1MsES+2VVVBYMNhS4QwiMIGzdGb4Ck22IE3hajaDkI4cyZI//HNefXIMYxFLdAqKuTVuVhh8lOe/fdwUjHG2/I6E5r2sZTUxps6RqB4I4ggAwh/8QT8Q2tu29fKe3tQxvPgx3z9U5LPezARExS3rlThp+MlH1bWZn6CEJVVcTfS3aY0+LioUPPxrrHVFQMveaNQJ42zd+QufGU0ewrv8LDnRO1fr10vr/7rgSW/JKoxShSkjLEEUFwM2GCNGJsBCEdJDWKUayJ0s5SSn3YY/mHlVJnxF3UAiYQiC4QsnEehLQmKY8c6TlsIaRIIBx4IJV7pcunq4uYYWxL/jAkgmCsGi6BEM1iZNpRbotRYQsEiSB0d0vbMRKZsBglG0GoqhIbvZdAMOWPKwfBJEZA8DxbvpzqanEJmYb+K13zqSkPVqJeEQSAyy6T/f7Xv/osA9DaKq3L7dtDlw9WeTMmSgvuuedCPo8YQTACIRJFRfRVSGMvZaMYRamXTQShpCQxi5ERYebc0VqEUSyBEN5wXr8+aJ9PpcXILRDMyEV+BMLo0fLf3If19tv9/266chAiUl4OF10kUTA3RUV2qNP0kdQoRrGq1h8AL3gsbwR+6PdHLNEjCGY25ERJt8WopCQFAqG1NZhn4GQCek18BCkUCG3SmunuxgqEAsItbAcGkMbRAQd4CgQvi5G5ORd6BCHYINCDI2pu2CB1QXPz0Os2VQIhWgQh2RwEkDyEN9+U8rrFZNwCobVVWkamAAcdJN3VK1ZQXR1qjWnTtdRUBk/MSBGEmTMl5/m22/yPcd/SIq3L8KiD2U9VdSVw2mnw5JMhIaCIAmHHjugCAeivkAo6ZaMYRamXzbU3enRiEQRTjupqOV+6u+UcSySCMHWq3K/9NuTjLaOZiduPQKisFKGy0Jl/9/TT4e9/998WiFcg+LEYxZwF+sEHZQjUcA480EYQ0oMZxeh6pdT1wGvEMYpRrKq1XGs9ZFoZrfUewLa04sBLIJibQ5Toqi/isRjddZfcx/x4FU1Dq6IiOYtRcTFw/fXwkY/ILEphOQjpshhVIjvFRhAKiyERBBCb0bJlg8ujDXNqvl/oAsFc/8XFwfH633tPduXIkaK73JaGVFmMIg1zCt4RhHgsRiDDs2/eLP/hkkuCyxMWCIbycqlcV6wIKfuYBmcEo9pgJR9JIID4yVeulPIdd5yfYngLhMEchGrgzDPFI/buu3DffbB4MbW1cl6bzp8dO+S/v7ZlcrCAEeivFE9JNIFg/lvMibh8RhAaGpKLIJhjYibKS1QggPzvESNSJxDc+7GhIfY1ZOa3GD1artMxY+D735fIyBNP+Ptd96Rxfkg6SdlhyRI5t7dtcy2cPl0qF3flbUkarfUvgcuBvc7jcq31jX6/H0sg1CmlhlQBSqlSIIk+78IjWgQhGXuR+X5np79G/7JlsGaNvwa/WaeiIrEIwqBFobcb/uKI1nXrBi1GJSVSeafNYmQFQkHiOfrW3Lly4jt3xUjhcve1WOgWI3cEwdiGb71V5tD60pfkGv3Tn4LrmwZ2a2ti9YXBNFwiWYySGeYU4HOfkxFJFywItRolLRAAZs8etBiBNCiPnyPJDTX1wRtAJIsRyPxkf/wjnHxy9EndQOr81lbZbqQIQnU1cNZZ8ubqqyVr+v/+b0hi6Zo14pp6rflg3xGEaEnKfhNu/QqEVEQQIGiTS0YggJwnfhrEsejvD92PDQ3+IggVFUGr0/z5wUGnotkA3aTSYmRyEGLN3wAyoWJzc3A0XUAiCN3dQ31ylqRxJjR+EPgn0OTVpo9ErKr1IeAWpdTg1auUqgH+6Hxm8Uk0gZBsm9U0avw0Ykxl7Wd69VRFEIoWvhqsSV0RBBhqGYDUCYQKZIdYgVBYRIwgBAKDQzhGsxgZbARBnouKNNXV0kv53HPSMPrFL+BjHxPXoGm0uRuCe/cm/rvxjGKUiMWovh6+/GXpnXc3qk35naopyM9+5j3nQEuLt0B47z2qy6SCnT8fDhsvjZ6aUcFwgdcwp4ayMpnc7cQTpcEVrVO1sxN6eyWEElUgHHCA9NI++KCois2bQ3t9e3tp2iUHfAP7p8RiVF0t97iYESWfFqNEIgipEgitrXJOuwVCRItWnLjLCCKEEhEIkSLykUhlknJ5uZy3fvaHuc5Cztfp02UjZqgoS1Iopb6nlPqBa9ErwGPAU8B3/G4nVtV6DbAT2KiUWqKUWgKsB3Y7n1l8Em2Y02TbrKanzc+FboYi9CMQ+vulMigtTTIH4fln4PDDxQvw1ltyg3LuwuE9gpAigTByJJUT5De6u7QVCAVERIEAg3kI0SxGhkIXCCEWQYKNo4svlv1y2WVyWd1/vyxvbg6OzpmMzSiaxSi8QyGRCIJh/Hhp45vfixhBePRR6dIPrwRbW4Pd5IY5c0BrqlpEFBx2GMyvleTLmjHBkEi0CILBPTttJNwNyUgWo8H9+IEPSIv+yCNhy5ZQgXDqqTT97u8AbGBqTIHQVx5bICjlrzc8UxYj8xNmsrR4BIJ7BCNDugRCvBYjEIFgjrPfHIRUDnMK/veHp0A49VQp0FFH+SuMJRYfAX7her9Xaz0XmA18wO9GYlWtj2utrwKmAJc5j/201ldprZMIIhcemYgg+KkYzMXpp8Hf3y+Ng6QFws7tYvadPDkY03fuwu4ewV/+UvKU2toiT2ITD5UfvwCArteXD/7I7x6ezNq1yaqPIHfeKZPUWITWVvif/0ks4pQqPC1GBx4oF4qTh+AnglDoFiOzH5WSloERCJdfLs/HHiuW+9tvD84hYOY8itYo7OmBr31NrDQ//vHQz2NZjDo6xA7zk59IGePNQTCYRrrpUW5ulm0NqY9375ZChU+eEMliBFQ3bQak4Ta/SERp7eiKwdVM+9srgmDw4+t27+eIoxiZ//OjH4lAfv/7YccO6qrk4mjd0wuvvcae1bKxDUyNnYNQLhuNNVdNKgSCO0m5pye+e5G78W3uk4lEEIxAcEcQIk40FydeAiHeCMJhh8m5W14efwQhFTkI4F8gmE7KEIFQXJy40rd4orV2nwm/dpYNEEd6QKwjMsbZaJfW+m3nUYBziiZPIDC0Mk1lDgLEJxD8WoxKSqTySspiREBq46lTg4miYRajlhaJ4v/hDymKIACVHxah3PX3h6Gjg3eZwVdumMDjj0e/+cXD978vdoV4JqjJZ555RvLRXQMGZRzPCEJRkdgsnMnS/OQg2AiCPBcVycn9wQ+Kzj/iCFmulCx75ZVgg8bMeRStgbNoEdx0EzzyCFx7bUjuOBCsxyoqhn63ulrqrt//Hr73PUl4TLRdYWw+pmHtDK421GNtslr/85/Q5V4CYfp0KC3laP0ap5wCJ5wAk1tW8NHqf3HKqcENl5fDpz4Fp5wSuXx+xpY3Pc0jRsSwGJkNzpolHTVaU9sjX259ZxsMDLgsRlNjW4zK5EKJJRD82GXiiSBAfFGEVFmMvARCOiMI7e3R79FGIJx+Opx/vgh1GGrBi4SZNxRSk4MA8UcQbLpBWqlxcoUB0FrfDqCUKgfqIn0pnFhV6wil1EWRHgkVu0BJZwQhHotRPALBRBCSHuaUgPzZadOCtXuYxciUa/Hi0ElgkqFipOyYrsXLYfFi7uBSed+VYJejB52d0hj2Gle9EDHnlXuIx0zjGUGAkK45vxYjc40WokBwT5QGYi26++7QBsKBB8o+dlI7fEUQTGPr8celBz187PaursgjuxkB9/LL8tzWlpzFCIIN6+ZmD3vRwEAwoSI8VOglEEpL4YADmL7nNZ57Tqo5tXUL9x7xMz4QFti/886hQ8K78TM7rdnPc+ZEGeY0vANq8mTZfoe00NreEd93U7/8YAv1NJfHEAhOBCFakjL4s8v4EQhm1CCITyB4WYwSFQhVVUFLD0SZaC5Owkcx8jMJmxEIp5wCDz8cjKL5FQhm3lDz2g+xLEa1tf72h6fFyJJqHgD+pJQavPqdXOI/Op/5IqZAAM4FzvN4eAxma4mEl0AoLo4Q0o6TdFmMUhpBKCsL7X5xCYSOjmDYcdEieU5JBMERTt3F1QzcfldaBIKpXG+7LWWbzGnMeeJHgKYLdwTBLRbcAsGvxaikRB6FKBDCIwhemEvaCGQTQYjWKDQC4bDDpPfzr38NPV86OyPPC2OOj9vtk6zFKKpAMNNql5SIQNi8WTK0+/qkpRqegwAwY4Z4oAxbtgw2yuMhHovR7NnirXef752dInCH7B8jEFq3yPbXiil/D8HW74Y90StgvxGEVFmMysuDEZVEIwjmPplIDsL69cE5EAypiiB4jWIE0a8hIxDC8crp88K9TiqSlCHJHARLqrkW2AVscuUPb0Byiq/1u5FYAmGj1vozWuvLPR6fSbjoBYiXQACp+DJlMdI6/giCaSClJIIQPkYcQYFgymUq5VQKhK5Dj+bZrmPZymSU0ikTCFoHy3v33cPba54tmPMkGyIISnlEEJzeYL8WI/Ae8rAQCI8geBEuECZOlP0VK4IwYYKsd/nl0hB6/PHg552dketE047s75dRlGKVLxpjxsjxjyoQTCvt5JPl9ZFHwre/HbQbhUcQICgQAgF5bN2aNoFginfIIfJT7kZlxHa3EQh7N8j2NzXD6NE00UA90lOzfoOipSXyPaW/TCpXPwJh714pW0eHx/b6+uQRI4JQURG8J8QrEFIVQXDfvkAES3t7WCdEAnhZjMBfBCEcr1EBvXCvM1wWIysQ0ofWeiBK/rDv7t5YVWsS03dZ3EQSCKNHx7R7xsSvxai9PXiR+81BSEmSspdAcOUguC1GhpQKhCNP5CEuoo4Wjj1WpUwgmBvI8cfLTfDFF1Oy2ZzGnCfZEEEoLw8TCKNGyV1Xa9/DnIIVCNEiCPvtJw0G06NfXx/bd256Y0Hm7xozRkbfNBiLkRfu43PlleK99mqj+6GkRH47qkAw+QcXOY5a88cWL5bnSAKhq0tmgtqzRy6KBASCnxyEpiaoru4f3Lzb1x1RINTXQ1UV1bs3oBS0bmuHU06hqWgMC3gDkGP0vvfBJz/p/bt9pU4EQUVvHZuJvFpaxKL26U+HreBjdDkTQUhEIPT2piYHYdMmOdfdmEMf78hK4XgNcwqJCQS/FiP3OplOUnbPuD6c94lCINn84VgC4VPhC5RSo5VKZt7fwiSSQGhslETXZPAbQXA3wv2OYmQiCEnNpMxAqMWouHiwdg6PIBhSKhCmHMS2igOZVrKZhobUWYxMxWqSNjdvTslmc5psEAimYVtW5hFBcKwhsXIQjDCGwhUI7onSIlFeLlEDM+lRfX1s33n4jLTTp4c2bKNZjExdpxTMmyfzMvz2t37+jTfjx/sUCO97n1iLnn1W3i9ZIs+RBAJIFGGL2HjSaTEaMaJviF0KoggEpWDyZIq2bqamRtO6bwDmzKGpaAwzWENtSSd33y15JY884p1M2l/qRBD6orc53L3hS5eGOq8GCwkxIwiJCgQvi1FTE4OTdEbCfc2byPuoUaHrxDN7sN8yQuwIwsCAfCcZi1EiEYRUDnNqrm9j97JkJ7EEQo1SqlEp9ZBS6jCl1HJgObBTKXW2nx9QShUrpd5USj3mvL9dKbVeKbXUecx3liul1E1KqbVKqbeUUgtc27hUKbXGeVzqWn64Uupt5zs3ZbNw8ZoHASRvN9EeMIO52OIRCPEkKScaQRjsgTQRhEmTZIMjRw7GKcMFwtix8pwKgVBSIpVZV08RTVPm0TCpgpqa1AkEU7GasbFtyDQ7LEYRIwjmzrt3b8RwuWmnuHuwC1UgmOs3lsd/6tTgukYgRGrc9PeLkHaPJx++vh+L0YwZUkdMmpRcBDamQDBKZ8wY+OY3ZfayyZODAiFSDgIkLRD8zE67Zw/U1fUNjsjkroOi7UcmT5a5ECr7aKOGwCFzaBqoZzR7mFq3lzfekPN+YEByRMLpL5GbTmm/P4Gwfbs4rYacFz4jCKmwGJWWykNr2bfRWgsVFXKPDASkng8Eht6n/SSR+y1jPDkIpm5NxmJk2gpKpS4HobZWjlW0tkIgICJi5kx5b0cyym5iCYTfAv8L3AM8B3xOaz0eOBH4P5+/8TVgVdiy72it5zuPpc6y9wMznMcVwB8AlFKjgOuAo4GjgOuUUmauyz8An3d9z5doGQ4CAe8IQiowN4FYF3q8AiHlScolJRKndU1VGp6kfOKJ8pwKgaCUiKfubtijxjL66OlpEQj19fKwAiHLIwimC7CpKeLNzlxLViD4iyBAaGCwujq6xWjbNjkmbrfh6NGhjaGurthJyvPnxyq9PyZMkEZKb680miJGEEyrDUQAvCeTn3n27kyZIuo0SYFQVibnnp8IghFJviIIpjxbtlBX0kkrdbTsdygBXUQDTUxtkBb4xRdL4OT224cO49xfIq3Tkp7orVFjl1m6NJgjEbKtNEcQ3BYj98/Eur+YxndPT3D/RxIIqYgguNsGFRVS/0S6hkxdlAqL0ciRqc1BgOiCqbVVjv/BB8t7e89MD0qps5RSH/ZY/mGl1Bl+txNLIJRorZ/SWt8P7NBavwagtX7HZyEnI7O2/dnH6hcAd2rhNaBeKTUBOAt4Wmu9V2u9D3gaONv5rE5r/ZrWWgN3Ahf6KddwEMlilAoSsRgNyzCnIKZh1yQ8VVVSYezcKRXM4YfL8lQIBJCGRleXVLYNDaRFIFRWhvZE5jMPPAC/+U3kz02DfLgjCEp5WOMaGuimnEu/O55t22RRJIuRu4FqRGah4ScHAYKNfTOHQDSLkdd48olEEFIlEMx1G3EWZemiD53y2EQIwFsgFBXJcE5GIJSUBEOjcRLLttHUJBGE6mrpwfWVgwAiELZto65rJ63FI2mqk5DOaPYwbZLcHC6/XGbLXrkymHJhGBQIvdFvOkZXmYBLT0/YfcqnQHBHEOLpsQ/vnfcrEAZHwOuOLBD85Ij4IXwUI4guss19JxUCoaEhtTkIMNQu7MZ8NmuWPBfCPXOY+AHwgsfyRuCHfjcSq8nqGjCQcJ3pZ2qoG4H/BsLnxb1BKfUD4FngKq11DzAJcLu4tzjLoi3f4rF8CEqpK5CoBCUlJTQ2Nvooemrp61tAc/NuGhtXpHzbAwMKOIkVK9bT2Lgx4nqvvjoOkCvzjTfepqoq+vhz27cfQm9vNc3NHbS0VNPY+Hpc5Vq9ugY4giICLFq2jM6WFsovvxw1MEC3cwy2bZsEzOCtt/ZQWVnD1KlLOeec/dm69V127Up+9rGiomN4771m9u0bR3v7Rtrbobt7f557rjHpiRtXr64FDmfNmreprJzMO+8oGhuXJl3mbObGG+ewaVMVhx66yPPzd9/dH5jGihVraGzcGte229vbU3Jtrls3DaX2o6+vm23bWmlslABm1YYNlDKLO5+ZSN+YTcB+rFy5nFGjgq1ZraGo6CS07hw833t65rN9u6axcZnXz+UtS5eOAubS09MZ9bj09EwAZlJR0Ulj4yLa26eyb9/+PPfcC0OusSeflDpo586FNDbKLaWlZT+6ug7giSdepKIiQFPTUYwc2U5j48ohv9Xfr/jAB2YwdeomGhuTV23t7ZPp65vOAw8sAQ5n+/aVNDYGjdGzli+nrqaGha7/P6WoCGc0V15Zvpxek/XqYs7IkVQuXUrv5s1UNjTwWoIjGJSUHM2aNcFzOJxdu45n7lw5PrW1R7N8eXDdXbuOpLKy0/OeM7Gzk4MGBqjbt5HdYw7gqefeAhYwsqiZBfNW8qGGUfT3r6WmpgI4hgcffIeOjmBrbsNO6TFa+fqrrC52GckDAYo7OxlwWuBtbSXA8bzwQgcgrfPHHnuVceOkB2HkokXMA95YvZrWCJMq7NgxH6Vg8eKlwMm8/Xb0+5ybtrZj2Lu3mcZG6dMsKjoKqELrVhob34j4vY0b5Zx+7rlX2LOnHDicjRvfprExeM9ct64aOJJXX11BWdnuIdvwW5+1tR3N3r0tg2UEKC8/nNWre2lsfHvI+lu3yjFZv34VjY2h597evQfS1jaRxsb/DPmemyVL5DosK2th794yGhsXxizn6tUTgYN49dWXqa8f2mPY0yP3w9//fjXnnuvtHVq7VtoE/f0rgNm8+up6ZszwdyxTRaruM1lOudZ6yEmptd7jzIfgD611xAcwALQCbUC/89q874vx3XOB3zuvTwYec15PQEZHKgfuAH7gLH8MON71/WeBI4BvA9e4ll/rLDsCeMa1/ATzG9EeVVVVejjYf/92/ZGPpG/7paVaf+970df59a+1liaQ1vfdF3ubH/yg1oceqvXHP671jBnxl2nRIvmtxzhH6zVrPNf5859lncMO03ru3Ph/IxYzZmh95pnyGzfeqPVPfyqv29uT3/aLL8q2nn5a64sv1nr69OS3me184ANa779/5M+vuUb2yc9/Hv+2n3/++USLFcJVV2ldVqb1zJlaf+xjrg+2b9evcZQGra+8Usr5z38O/X5trdZHHBF8f8YZWr/vfSkpWk7x2GOyj37/+8VR13v6aVnP7LMbb5T3TU1D173+evmsuzu47OabZdmmTfJ+yhStL7ssRX8iBvfcI799221OXfVY2ApnnKH10UeHLvvnP4MVaVub94a/853gOj/7WcLlO+wwrc891/uznh7Z/Gc+s05rrfVRR0ldZ5g6VetPfSrChh99VGvQF5U/pucc0j94rF97riNktX37ZPkvfxn69V99Za0Grfc+9HzoB7feqnVdndYdsp2BAa2Li7UuKgrujiVLXOs/+KAsXLo04j44+mitzzpLXtfVaf31r0dcdQgTJmj9uc8F38+fLz93yinRv3f77bLeunVaP/usvA6vnjZskOW33uq9Db/12eTJWl9+eeiy00/X+phjvNdfvlx+9957h3527bVaK6V1IBD9N3/3O9nGuedqPXGir2Lqm26S7+zZ4/15IKD1rFnR68rnnw/uy1GjtP7Sl/z9dipJ1X3GL0CHjtEuTfUDeBdxAIUvLwXW+N1O1D5UrXWx1rpOa12rtS5xXpv3MeZQ5DjgfKXUBuDvwKlKqb9qrbc7+60HuA3JKwDYiozZapjsLIu2fLLH8qwknRYjCA4XGo1EchBSOsypB8ZKsG2bR3g/BVRWBm3ADQ2JTbYTiUK0GPX1RfesZksOQlGRh8Vo1Ch6kYxFc614RZGqq0MtRoWegxCPxQiiJ1lu2CCjHrmrg/BRW6Im16YY43Z8x+m89bQYuafPBbFJgvipIlljjA3pggvgW99KuHzRLEZmf9XVyUUXbtWKajFyskTrjjiI1vbiwe81TAnd8XV18jfDbSP9xXIAS3vCKtJFi6TAjoevqEhSf9yTF4ZYZ+IY5hTk+Jh8NT8kajEy9p3u7qClKZ05CPFYjExd5JWnU10tMixWXoHbYpSqHASlxJb2yivw7rve67itfOPH2yTlNPIQcIs7WqCUqkFmUn7I70aSNFlERmv9Pa31ZK31VODjwHNa6086uQM4Iw5diIyKBPAI8GlnNKNjgBat9XbgSeBMpdRIJzn5TOBJ57NWpdQxzrY+DTycrv+TLOkWCJWV6RvmNCVJyhEEgqmwd+3KjEBIJNEtEuECob39/7d33uFxlNf+/76rXixLlmxLrrJxAVeZbqrppFBuCCUhlIRfIDfJvaQRQnJTbwjpJLkhlIQQAgklJJQECBBAhOoCljvgblyELMlqlmS19/fHmaOZnZ3ZnW2zs9L5PI+e1e7O7r6775TzfU9LzfsGmYEBbwIh0zkInDsTtt/m56OvqByAeYF0EwiSpOytURpg9kKwCwSrgdPeDjz6KPDWW+EVjJy2z4RA4AggxyTl8ePDH5s5k34Utp6dOO884ItfpAzfJIrrlZU5x9yvXQs8/DBvQwedPdk7qkCYPZtyEI6ajY4O83V2LcRfM1IgkNCOSFLmOqaWsCueX07DiFcgcJIyQPPjFOM+MED7lp2+vvBypokIhHTnINiTlIHolcBiJSkD7nkI771H1aQSEQixypwC1DcjJ4d2eyfsAmE0LKpliP8BdU3eaemkvB3AfuM5T6RNIEThT0qpdQDWAagC8H3j8acAbAOwBcBvAXwWALTWrQD+F8BK4+97xmMwtvmd8ZqtAJ726TvEjVuZ01RRXOytihGPwfckZZei03xC0zp9AoFP4FVV6REIhYWmoeEQjjyi8CoQAulBANA3hqwVa5k/OzNmANOnm/dHq0Dw6kHIzwcWLKC8XMBZIPz859RrbO1aYP788NezUcoVbqJVMUo1U6bQ/L7+Ou0v1dWgL37ddZSZ6+RBKCggVeRU4pSprqYvneRJbcyYSAP04EFqzviFL9D9mhraOa1Gpda0j0exu4GaGowfT+Lt7bfpXO/0lZyM8oEQWey5vbYT6ZYtdGspcM8/HxegSEQgsDHsJhCeeoref5MtVcO+Os/C02uS8sGD7gIhNzf8+pIoTh6E8eOp+abTedSLQHBaLNQaOOcc4FOfoucLC2n73t7IKlVOxEpSBqgq2JlnAn9zWaNm748IhLTzlHbvpOzZmkvjmraJ1roelD0NrfXpLttoAJ9zee73AH7v8PgqAAtSNc50EpQQI+4cGm+Z03SFGFmvC+kSCExlpXlxSYVAsLp6rY2K2FAaifT3k9HN3iU7bJBnupOyowcBQF/pOKApeojR44+H1/4frQLBqwcBoLACXgNw6gTb1EQlFV96yYzQYayCgn9nvzwIpaXAtm2kA8aNM8ayey9w113UTri3N9KDAFCdRh+sG6cQo0ceIa/CAw8Axx4L7NpFLobKSjqvHTpkzl2s3/EjHwG++U3qdTBunLNgdjLK+xVNdk6P5UTa20sthwFHD8KRRwJPP20LPUsgxGinQ04r72srV5oVcoDwPgjWj4klELgicmuru0Dgx9JRxYi7Nr/3XuT1JJpA4Pl28iC88QYJqO5uak5oDaW0ijA3YoUYMSecADz7LO2L9t+5rY1eX1YWu+O6kBTjAeqkDFqMTwhfBIKQ3j4IgPcQowkT6LrmNcTIzdDyQkQnZQesFzBLe4SUYT3pVVaa1610hBgBIz+mkveD3l7ni2wQQozYg5CT4yAQSmgnixZiZDeqCgu9u+FHEl49CED4vuCUg9DRQUbXwoWRr7W0pxg+h/klEABa9eRGYwDMmMTnnqNbuwcBAG691Zd4QicD9A9/IAPv0kvJ2GKb3CrM2OCM6kEAMG8eiYwVK8JLz1qpqHDwIKg85GAAqttiiW7bZi5FOwiE2bPJQxHhQSgoiNqNz+5BWONQTIyN5tWrgSuvpP+1jjS+vQoE6z7c0UHXQKc1LrcQsHhw8iBwGN6OHfEJhGghRhz2s3s3eY2Ki02B0NPjXSDEWjBYsoR++3XrgKVLw59ra6PfLBSi37ijw/n7C0kzVin1Ebcntdae8hBEIPiEHx4ELyFGvBjm1YOQn5+CTsoh5XoB8MuDkJtLJ6Z05iAAI99lyvtBT090gZBpDwKHGPE+yPQVlwMwL6BewsNHuwchVqM0O2Vl9NtbDcHOTjNm205+Pr2muTn8mMoYLBAYNw+CD5SVkYHMsfTbtgH19cD3vx+571o9MfxbxxIIAPU6WLEivBeclfJy+lwrAzoHeegNt0Q5/wAIEwgsXGbMcIitj5ooQVg9CE5ihbcBqCEbw+eiRASCVWx1drqnmyTrQXASMYAp1rhviJVEQoy6u4EHH6T9orMTeOedcA9CT0/sBTovOQiA2aNk9WpngWDPVWptTa4buuDIWFAlUacrnIbHROVM5CCMSoISYsSJYl5zEFKSpJznvjrkl0CorKQTfLpyEKqqSAONdIHA+4GbGA2CByFqiJEhEKKFGNlhgeAlTnckwQIh3twpbpZmNQQ7OpxDNBjePhMehAjs3Y+dBIJP2LvT/ulP9PvyKrkVq0Dg39GLQLjsMjLAowmECA/CoEIuBsIvOiwQamocBcL06YkJBLsHoaMjvCoSYJ6PGhrM45TPRVbntdcchNJSuu61tETfd51yROKBz092gTBlCh138QoEtxCjv/+dxsl5Kxs30s/O7+HFQ+rVgzBlCnkFrWKNsQoEa+6RkHJ2aq0/pbX+pMPfp7y+iQgEnwhKFaOqKjrAvXgEuMwpJynHayAFTSAAqRUIvb10sc7Pp9904kQRCEHwIERNUi6kK313N+3MXgWC1ol50bIZM+Y4fmVk76bsVSDwfpVRgbBnD036Zz9L98Pij/zFXinn1VeBxYuBqVMjt7UaXGwgevkdKyqAe+4BvvIV5+edSosODAC5ajDSg1BZSSVULQLhssuAn/2M4urtlZZiCYSBATqerTkIWkca5Ww0t7WZOQp8DkrEg2AVudH23WQ9CHxOsdsGublkaCfqQbALhDVr6D2vuILucwK7tWN0LLzmIChFYUaxBIJTMQMhZSReOs2CCASfyHSI0dAQxR2Wl9MJM14PAhAZrhELLwLBegFLh0Dgk6hdICQbNwqY1Vb4hDkaqjLwBc3tghJ4D4IhEA52kdHrNcQIGH1hRmaIYGICIV4PQnOzuciR8RCjKVOAL30J+Ne/wkta+Yy91n5DAxlfTlgNLg+5v2F87GNUGcmJ8nI6X1qPpf5+IFcNRQqE2bNppcQiEKZOpZ/SybMUSyDwecQqEIBIj4b12GTDNJkQI8AUM+kUCG4eBIBCsrZvj3w8EYGwYwcJtOnTzUURew5CLLx6EAAKM1q3LvL8KwLBN66wP6CUqjJaAnhGBIJPpLvMaSwPQlcXHeDl5bTiHW+ZU74fD8MnlHx3ZZSTE3nyTyV8AuTVtcJCMnhSFWJkNWRGg0CI5UEIQhWj6B4EWpLt7qHzpFcPAjD6BEI8BoEde4USjuOOtX1gQoymTKET0xlnZHAg4QKhsZHsbo7xtpOMQIgGn5ethvDAAJAbsnkQtmyh7GmbQLASUbmmszOqtc4CwRpiBDgLhKIi2lftAiGRKkZAuAfBLX8m2SRlJxHD1NamLgdhxw56v/x8YPJkc9t4BILXHASA9tHeXsp1sOIkECTEKC2UKqXqlVJ/U0otUUqtB/Uce18pda7XNxGB4ANap7+KUSwPgrVBSX6+9xAjqwch3hALLx4EwDyp+RFipBRQVDQoAiFBrEnK0Z7PdJKyqwchjyyD/n4RCLFI1oNgDzFyM7J4+8CEGO3ebVpRGcYqEFavpv/dBEJhIf1uVk9MKgWC1SgfGADyrAKhp4dqcrIHobPT8SRRWUlPDZ8fWlqAqir8/e/OHZL5mPPiQSgvpxK6/Ds5hRh5zUHgsVqTlJ1IVYiRm0DYuzfSG9vbay6A2HHLQdi+3ayMxAnQieYgeFmD5n3UHmbklIMgHoS08GsAPwDwAIAXAPw/rXU1gFMA3OL1TUQg+ABfaNMpELg6gVsYEJ9Qy8riCzHKyTFPXunwIADmSc0PgUCPpU4gWFdxqqtp4cyeQDeSyIYk5ahlTvPDLSYRCO4k40Fg40prOtf09sYOMeroMM9TGQsxGhqiHAROUM4wVoHAxtbixe7b8wp9PDkIsXATCLk52vygPXvodvp0sySNgxchIqxk/368iaNw/vnAffdFfnY8HoTCQiqju2EDPebkQZg3j36jmTOdv6sV/i1jJSn39SV+voslELQm3WWFv6uToe4kEHp6aOGKhQHfWkOMUpmDAFCRL6XCPQiDg/Rb8hwWF9P3EIGQFnK11s9qrf8CoFFr/QYAaK3fjudNRCD4ABsp6RQIEyfSAex2sLFBPGaM9xAj9iDwuBP2IMQQCCUlZvOUVGMPMaLHUiMQ2K3NVFfTXI/kE561D4ITQfMgRJQ5HRNeqkVyENxJxoNQVUX7QleXGYIRK8QIMO3MjHkQ9u+ngQdEILDXpbOTBMLMmdEbOLMwS0eIUYRACA2Zrgp+sqIiqkAIWzU2Llh/2HkaAOdQEzcPgt3bwEbzzJnUF2Jw0NmDsHgxTTGXpY4G/5bt7dE9CEDiXoRoAsHaC8EKf1cnQiG6JlkFAvfJYGHA75tIiJHXxYLcXNpPrfsM/0bWhUC7p3G0opTaoZRap5RqUEqtMh4bp5R6Tim12biNp1OUdZnSPrueT+giEHzAD4EQqw6/XSB4bZTmV4gRN09JNfYkZXosfSFGwMgOM/IaYhQED4JjiFFOuOUpHgR34mmUZscaX+xFIPD2vFqaMYFgL3GaYeweBLfwIsYvgdDfb/MgtLfT7dix3j0IbW04NJSLP29cHPH+TLwehNpaGtu+fdGNby9UVtL5o6cntkBINA/BrYoR4N4LIZpAAGjOrTkI/Hq7ByFegcD9ZbxiL49r1ZCMdFMO4zStdZ3W+mjj/tcAPK+1ng3geeO+VxYrpTqUUp0AFhn/832HdpXOiEDwAT8EAlfiiyUQuL6zVw9CSpKUC6KfoUtK0hNeBKQ/xGi0CYRsSFKOmoNgG5cIBHdMD0L8r7UagrxyGCsHATBLVGYsxIhdGAERCOxd3b2bigTFEghceSeV1aDcQ4xgCgRrkptdIOzfD/z5zwDMeX7/faB/7348hgvR2l0U8f6MvYoRNyxzEwjWVXenEKN4sHqdoyUpA4l7EKJVMZo0ic5h9kpGsQRCcXG4ByGaQIg3ByGeGjhuAsHuQRCB4MoFAO41/r8XwIVeX6i1ztFal2mtx2itc43/+b5nySwCwQeC5EEoLY2vilEqPAg5edF3s7Iy9yY9ycIndm4QB6Q3BwEY3QIh8B4E234vIUbuJONBsIaSsPEUzYPAx+c//sGFBOL+yNQQMA9CKESL8r/8JYV4ePUgtLaSoZgKr6xrknKeiweBJ5MFwle/Clx+ObBhw/BTl14K5C+ci8vwECZX9WLhwugdklkghEK0H0XzIABkVDuFGMWD9ZoUy4PAX9/KE0/U4Pjjo/cPiublyM2lErGJeBCsAmH7dnp/XkTk/IuysvR6EOxdr0UgREUDeFYp9aZS6lrjsYla633G/40AfO83nUaTVWDYSElnmVNetPEqELyGGCWTpDy8AhnDg/DDH3o7QSXCmWcC998PHHec+VhR0SD27XN/jVfsHoRYXpxsx9osLGurGIkHwTN8/CbaKA2g1Wx+n2gCYeFC4De/IcN21qzEjbqk2b2bdhzrikKG+eMfgbVryfA755zo21ZWUnz+o48Cp56ams8fM4ZEmzXunxePcPAgnRis1l9hIQmF99+nmLE//Ymee+op1NwwH/fcYzhqNm0C/nQ/lv3oSvzPfXM9hRjxRzgJhKoqqvUPkFHNGi+dAoHzQZwEwqZNZVi+nMKdJk1yfn2sMKjJkxFxrbLnvtlxCjGaNs20P6ZPBx55hK6N8Zzb4slBAGietmwx7/P+YxUIEY3zRia5nFdgcJfW+i7bNidprfcopSYAeE4pFZZMrLXWKpETcZKIQPABPzwIpaX052b4Jhpi5EeS8oIF8b1vPOTl0eKVlXQlKZeW0sl5pAoEa3WmICcpx+NBEIHgzrAHMIGFDWuIEZ8/ogkEpYD//M/4PyflcInTdCREJch559GfF9hzs3s3dS9OBaFQpFE+LBA4G5gtZHbZTpwIbNwI/OAHtCNNmwY8+SRwww24+mrjTe5+DfjTD4Azr0P534GtWyM/2+5BACJXpnm7wkI6H1dXk1HMi0KpCDFy23fdciIAoKODrP7VqxMXCNXVZlUmJpEQI/asMBddRLda07HnZw6C3YNw4ED8751lDFjyChzRWu8xbpuUUo8COBbUs6BGa71PKVUDoMmHsYYxcqckQPhR5hSIXoe/q8t03ScaYpSuMqd+k64cBIDmIBXeiSBiFYhBDjFiD4JjmVN7iJGOXZN2tAqEZDwIFRV0vvEaYhQY9uxxt+ayABZmFRXA+een7n3txl5/P5CbbyjH1laz1A+ryWOPBV54AbjjDmrTfPnlwCuvhC+1799Pt1VVjl4BID4PAm/DDcb8CDHyIhDsvQCseBEI9mt6vCFGO3aYuRl2lKL3ymQOwtCQ8+83WlBKlSilxvD/AM4GNTV7AsBVxmZXAXjc77GJQPABPzwIQGyBUFpKB3g8ZU6tScoJexBihBj5TXExCYRosaFesOcgAMk3S3vqKeC115IbV7qwGttBDjGyehAiypzaPQj9sZXMaBcIieQg5OSQkeo1STkw7N0bmCZpicBG7cc+Ft2IjBdHD0KhcWFobqYnrfVX//hHEgQ33URehA99iHaoZ581t2lupuXu4mJHrwAQmaTsNBbAWSAkm6RcXm6uarvtu/yVncbe3u5dILjZBtXVtMJuPfc4XXesWAVCTw9Fetk9CFaKiiLP5889Bzz9dPhjiYQYdXaa1422NrI/rL8le2m2bQNuuSV+G2OEMBHAK0qpNQBWAHhSa/1PAD8EcJZSajOAM437viICwQf8Egg1NbEFAkCrFb6WOQ2YQCgqGsTgYPKr3G4ehGQEwhe/SCfKIOJFIPA2QfAgOIUY2cflRSDE00xoJJFMozSAokz27jUFgpfutRln714zmSgLWbwYWLIE+PznU/u+TgIhr8giENrbw5eGlQJOPJHEwdSpFO9TUUErIExz87CFaDcmGfbGjhvnPhYgPNxzxgyq/b9qFQ3DS88DJ0Ih83PdPAi5ubRfO3sQ6PeJJhCiVTECzLFbK8Z2dEQ/lqw5CPz7RdO8RUXh57bBQeDqq4EvfCF8u0RCjHi8gKkhre/Bgva73wW+/nVg+XLv7z9S0Fpv01ovNv7ma61vNh5v0VqfobWerbU+U2vd6vfYRCD4QJA8CEDiHoSRFGIEIKkwI62dk8WSFQiNjYnX1E43VoEYKwehvz95D02ixFXF6FBsq380exCUii+swEptLZUt7eykVcPAxxgfPEjWTBaHGFVXA2+9BRxxRGrf19GDUBTFg2AnN5cEw5tvmo/t3x8mEIDIcqENDaQvvAgEqwdhYAC47Tbg7LPNAh6JwAZstPA4J+/H0BDQ2ZmHwkJK1HUrg+olxAgIv6Y0NkYXPdYcBKfeA3bsHoRnnyWdvHlz+DUykRAjwExObmuLLGfOv+8//kG3IzV/L1sJ+il7ROCnQGhrczZk4hUIWptJyiPRgwAkJxD6+ug3chIIBw4ktoLe3U0XklTkR6SDeEKMgMyFGVk9CEND4cnVESFGfbGtfg5vGG0CIdnEQQ716OjIkvwDXm7NYg9CunAWCEbszv79kR4EJ2bPJmuZD8jmZmD8+OH3ByI7JDs1hysvp33KGj5oFwgADWk4ITpB2ICNFh7nJFja2oChIYWTTqL7a9c6vzaWQLBXxjt4kAR3tF3UGmLkFPdvx56D8Ic/0K3WwLp15uOJehB4DE4CwZoIDohACBoiEHzAjzKngLM7kunsjC/EiE++yZQ5HSkCYWiIVlM2bzZ/Fz6hOgkEwHkOYsEnx6AKBK9JynwRyZRAsHoQ+D6TiEAIhUhUjzaBwB7ERKmtpfzV3buzJP+ABUIWexDShWOScrEhELx4EAASCD09tDzNr7N5EKyf0d0NvP02hUzZxwKYq/KDgzQeu0AYOxa44AIv386dqioyuKMdB04CgWv7n3EG3bqFGcXrQeDrSjQPQkkJ/czW5N9oAqGoiMb77rs0zsceA/7jPyLHnUgOAhBdILAA49/YXuBj924al92rzh2uhfQiAsEH/PQgAM5VdOL1IFgrLyWcpDxACiF4AoEmxL5a5cb//i8wZw79fc1ods4nJ6ckZSCxSkZBFwhePQglJfR/pvIQeKXLKTSury884dGLQABonkebQGBPTKKwobZ2bZZ4ENhwFYEQQUUFnZf4uB8YAHLzjfqnTjkITsyeTbebN9NtDIGwfj3tg04eBMA8f9srHU2bRte4j388+YZ7U6bEbokRTSAsWkRfMZZAcLMNxo+nsB6+NvBtLIEAkBfBi0AoLwdefhmYO5fEWF8f8K1vUViXddzp8CCUldF4L72UfmerB2H5cgovmzsXOOGE8Nd961vhvY2E9BCs4PARip9lTgFnN11Xl1nqzItAsIqahEOM+gYA5COnMFgCYdo0yuDasAE4+eTY2+/aRSfLykrTVezmQUimWVq2CwQOSyspoRWfTHoQuMwpECkQxo4FmoyK0qrX2zLUaBQI7IlJFD7f7NsHzJ+fmjGlFQkxcoVzGjZuBI46ijspg6xfDjGK5UGYM4duN28mi6+jI6pAYOPUTSDwtnxcskAoLKRKcPxxyfDd7wL//d/RtykvDw/FAczmX1VVZHSvXu382lgehLw8eg++NvAuGk0gcL7GgQPeBMIddwBvvGHenzCBfvO6uvBxJ5qDEE0gKEXFrmbMoPm2Xjffe49ujzqKrrvcswEAXnzR1JlC+hCB4AN+exDcBILVgxBPiFGiScqDhkAIWpLyxImHUF7uftK209VFKzkLF5oCgS9KbiFGyQoE68kwKMRKUub9g/ezTOYgRPMgWAWCeBDcSZUHAcigB6GnB3jmGYpXOfZYatPsxt695F6KltE5SmEjffVqUyDk5oKs1x076IIRy4MwZQodSO++ay6x23IQrAJh9Wo6Vu0lOmMJBIDGmAqqqiLj5O1E8yBUVtJv98tf0vnTLgRiVTECwgtfePEgWJsUOpUWtTNzJv3Zqauj7uY81+nwIPDnAJEFPnihjHPbDxwg8TM4SNfh3t7YPSGE5JAQIx/wSyBMmBDujrRiL3PqjweBVEaoMMFC1GlCKTopRSs/Z4V/uxkzqCrL0JC7B4Hd0ckIhFSUYE0H1lwaJw8C7x9BCDGyClt7DoLVWBWB4E6yHoSqKqqoAmRQIPz+9xRQffnlwLXXRt+WS5wGTZkHgJkzycjkc+awQBg/3myBHMuDEAoBhx1GS7/WJXa4exDq6iKnw76tW7inX5SXkwPFWgzBLhD6+iifwk4sDwIQ3nyzsZF+xmiihQWCNTUkkeO4ro7Oee++S/fjzUEoLaXt29pof+nsjK4h3QQCa3p+bvNms4yrte+ekHpEIPiAXwIhN5fO1/b4d63pYONVhHhyEJJKUu6nFwRNIADk9l271tt3YoFQW0tG7/vvu1+U2CXMc7BiBfCd73gbk/XkGMRSp/xblZV5EwhBSVJ28iAw8YQYjbakuGQ9CEqZq78ZS1Leto1U/Ic/TLGC0di3T/IPXAiFqMcCC4T+fosHgTsix/IgAJSHsHlzWBdlINyYBMxVYnt4kfVjonkQ/KS8nK6x1nN2Sws1GBw71vwOTgtSXgWC1YMwYUL045LFQ0sLrbp7mRYnODmcPe3xehBCIdO7wgnl0Zxz1dV0bWWhxQKBU1f4N7D+jqO5A7MfiEDwAb8EAkAXZHtsXl8fjcEeYhStTr11zHzijddAGvYgBCxJGYhcHYkGiys2dnbscPcgAORp4Dm4/XaKY7V39HXCafUkSPDFbMyY7PIgRBMIXj0IJSXBnJN0kqwHATCPmYx5EPbsodCWuXPJQxDtpJflTdLSTV0dsGYNHV9hIUZMLA8CQNbe1q1mOR4jxCgUopezwdfSQqvEThFhbGQGSSAA4cZqczMwdmw/lKJdr6jIOaQ1HoGgdeweCEBkiFGiEXOcw7FtG93Gm4MAmALBSy5EdTWdc9j70tVF53E+h4hA8B8RCD7gp0Dg0BnrdZANG2uIkXVcTljDSfh1XFvZK0P9wQwxAqKv6tixehAAEghuOQj83jwH/P5ejMugCwRrjoFTuA1f7DKdgxCPByF0yJvqdYozHukkW+YUMBOVMyYQdu+mNrKTJpGqjRaTIB6EqNTV0Xlp61ZLkrJh4APw7kHo6wPuvJMOUosgsx5j0Rp82b0NQRQILS1AWRmdEHNyKH8tmgchmm1QXU2LLe3t3gQCJylziFGiHoT8fHov9obHG2IEmHPKFadiCQQgPBevtDSy8EdDg3leGm3nZL8RgeADfvVBAMgteOCAWQEAiBQI+Ya9Hs2As1Ze4jjieMNegiwQjjiCfod4BML06XR/+/boHoQlS6j++9atVCkJcO+kaWXfPvMkGUSBwBczryFG2eBBUD3dnt7TqVvqSCfZRmlAADwIu3eTB4ENfy5laqe7myww8SC4Yl1UScqDAAD//jdw881hCsB6jEVbcbZ7G4IuEADnhTvAuwcBIAPZi0DIzaXfhz0IiQoE/mw2zBM5H5SXe6+mZC8RztfdsjKaW/airF4NHH00bTPazsl+IwLBB/wqcwqEV5tg3ARCtKRjq9cjJ4dEQrxGK5U5DWaIUV4esGBBfAKhpIQWzKwhRk4XJZ6DBx4wf+NYAmFoiLzu7FIPokDgfWLMGDK07WFT/HxQchDsZU61pjFZ4+HFg+BOKjwIGc1BGBoiQeBFIEiTtJjMn0/XA1eB4MUSPeIIOjgvvhi48cawp5w8CG5vad02iAKBQ4yYurrIhTvA2+IhG85793oTCABNSyoEQk1NuEBId4gREOlBUMpM1G5spAp0p51G20Q7J2/YED2iUIiNCAQf8DPEaOFCOqCshq9biJEXDwKfuEpLExAI3CitqCDGlpnhqKOoGUu06jSc4M2/3YwZsXMQeA64ZT0QWyAcOEBighfYgi4QgMjfLShJym4ehMFBms+CAtOYiFcgjKYLTio8CAsW0LHA3jdf2b+fdkoOMQLcBYI0SYtJYSHZ90l5ECZOpJqV998fYW3yajOQXQLBnhMBsAfBdF0uXky39n4JXPo0muE9dSrdvvwy/e5enFyVlcHxIHgVCPZQos5O87rL42C7ZtkyunUTCE8/Teeel1+Ob7xCOCIQfMBPgVBSQslF0QSClxAj+5gTEggcYhRADwJAi1gdHcATT7hvwy3r+berrY0tEEpLydDn5C4gtkDgk2KQPQjWJGUgMswoKCFG9hwEFru8v+fnm/MW6vUWYlReTsdEt7fNRwSp8CAcfjitmp50UmrGFBe7d9PtlCmm9RFLIEiIUVTq6si+19pS5hSgg8qrhV5XZ16ELIwUD4LWkSFGU6bQrb3CoFNvBDuzZpGxe9ttdN+LB6Gykq4pXV2pEQhaJ5eD4EUgsJfe7kGwjoMjI447jnYhN4Fw9910u2lTfOMVwhGB4ANxC4TeXm9lb1yw1/jn3IF4QoxS4kFggRBQD8Lpp9PqzD33uG9jF1e1tdQLgQ1FJ4EAmGFGHHsdK38jGwSCVw9CppOU3TwITgJBHTK+xBtvRD3mnMIIRjqp8CAAtICfEfbsodspU8jyKCtzFwg7dtDttGm+DC1bWbLELEA03EkZIO9Bkv0jslUg8DmevR9dXZzrZF5gJ06kW3t/HC8CQSngk580K8N6DTHiBapkBUJPD12/EvUgHDxIYw+FzGtDtM9zEggc6tTQQF788vJwj5OV5mZz0Y8PayExRCD4QNwC4aijgOuvT/jzliyhA8N6wgLiCzFKlQchhEGK6QggOTnAlVcCzz5r2hJ2nARCXx8lKgPuX41rSPPK6UjyIPAFMVs8CNEEQqi3m7LJly4F/v531/ccjQIhFR6EjGL1IAAUPuQmEDZtouczlk2dHVj7EuTmgoRBTk5yVqgBG5P9/XScWQtkOG3L17dMC4ScHNptrCVagXAPAjfodhIIXuyCyy83j0WvHgRelEpWIAA07kRzEABaVPPSsM1NIFRXk+G/cqV5bXXLC+Pcv+JiEQjJIgLBB+ISCIcOARs3Ar/9baQ/0iN8En/rLbpNJsQoGQ/CYP8QQhhydCcHhauvphPfffc5P+8kEAA6CRUWup8weQ5OPZVuvQqEGTPoPYMoEOweBDeBkA0ehOEchJ6D5o/f1OT6ntksEP7f/yMRHC/JNkrLOLt3007A7c2jCYS336Z4KCEqHEsPGMeXUrRc7SX/IAbWY4wbfLmdX4PkQQDCx8OnEatAACI7BQPePAgAeSA++EHz/1hwLwQeW6LYBUIiHgSAVvS97CLWrtF2gQCQwc/XVrtAeOghypH5xjeAI4+kNR8RCMkhAsEH4ipzyqtefX3A//1fQp+3dCmtkD7yCN1PpIqRvfLSmDGJJSmHMBRYDwJAK/YnnUQJxU4JqPbf7uSTyeA677zoHZKXLQNuuIEECBBbIDQ10YWivDy4TbliCQR7FaNs8CCoXktt/ChxYIEQCENDpuvKI1pTPO5zz8X/calolJZRdu8mUcBfYtIk50UXrUUgeGTcODMKa3jBa/z4lHgQOFrJS/3+8nI6Rw4MBE8gPPkkCZs5c8JP4k4CYbifhAduvhn4/ve9GdqpEgickrNvX2I5CGeeCVx1FV0vv/712NuPH2+GUjkJBMBdIPz97xQJ8MEPAj/5CS3mxXm6FGz4kDYrxOVB2LmTbqdMoTa8N90Ud43AsjLgIx+hVe5bbzWNTXbX+htiFGyBAFB85zXXUBj60qXhz9kFQmkpOXdiUVgI/PjH9H9xcewchJYWukAqldhv7Qf2JOWgVzGylzl1DTGKQyA4xbz6xmOPARddBNxxB3DddZ5ewiIt3i7owAjwIHAXZYY9CFqHL003NtI+cMQR/o8xC1myBNi1y3I9u/lm86BPAmsVm1gdgPl4bG+n85B1QSATsLE6NATcey8ZxhMmhK+QVFdT1TwrXj0IAFXHW7jQ27bW4lKJdlIGkg8xqqkJr+YXi6oqOscODroLBGuIEZtLPMYFC4AHH6T7r79O+TI9Pe65gkJ00r4+pJTKUUqtVkr9w7g/Qym1XCm1RSn1kFIq33i8wLi/xXi+1vIeNxmPv6OUOsfy+LnGY1uUUl9L93dJlLj6IOzaRbff/CadcV55JaHP/OQn6eT52GN0oBUXmxf7eBqlJVvmNOghRgBVMyoudj6R2QVCIpSVxfYgtLSYqz5BFQheQ4wyLRDizkHIFg8Cl+T4z/8E/vpXTy/hOYpWyteNEeFBsGZIT5pEO0Fra/h2b79Nt+JB8ASv4A4btuefD5xxRtLvazVGvXgQANqutzd6uKcfsECoryej9ZOfjNyGE22tnup4BEI8pMqDUFFB40s0xCheKivpc/jz7AKhstI8pO0eBHuPCA4HtooIIT78OP1fD8BabOpHAG7VWs8CcADANcbj1wA4YDx+q7EdlFLzAFwGYD6AcwH8xhAdOQBuA/ABAPMAfMzYNnDE5UFggXDKKXRr90l65LTTyBV8zz3hShxIf5nTgweBF17IjhAjgAzej36UVh7sZSz5OyfT6CkRgeBmq3Z0UBPSTMD7RKwkZfZUBaWTcrQyp6rHm0Bgt35GBcLOnXTFXrQI+Pa3Pb0kGYGQ1R4Erc0uyoxbLwQWCOJB8AQLhFSv2McjEKy9B1ggZJLyctrdOATowgsjt6mupuuL9ToadIEQClHOAwsbPwQCYBr1fN3lvIu6OlMIehUIkoeQOGmdbqXUFAAfAvA7474CcDoAIzoe9wK40Pj/AuM+jOfPMLa/AMCDWutDWuvtALYAONb426K13qa17gPwoLFt4Ig7xKi62gz05JpycRIKUezfc8/R9c8qEPiEFG+Z00OHor+Guf9+WlDa11aUFQIBAC65hIzvlSvDH/fLg9DcbLqFo4mxu+8m8ceVMvzEax+E/HzaxzLtQeD9nIWKY5KyRw9Cfj4Jn4wLhJkzKWnGLdnWBguDUedBeOMNssbsHgQg8rfbtIkOOmmS5onjj6dzABtgqWLsWLpU7NsXvwch0yEkc+fSOfnFFynvzGk89k7BgPcqRvHC1xIvpUVjwYnDO3akJBc9KjxuNup57AUFwLx5FLrFVFTQub23l87tLS3OAkHyEBIn3af/XwD4KoAh434lgDatNbcY3A2Az+CTAbwHAMbz7cb2w4/bXuP2eOCIK0l51y4SB8XFdHQkKBAAEghaAy+9lBoPAkDegVhwFYd97cUkENKxRJJieIXCbiOmQiCMGZO6EKOmpoRyVVOC1yTlvDw6oWfSg2C9MPI+6xhi1N3lSSAA7mX1fGPnTmpJXF1NgboefuBkQ4yy0oPwl7+Qiq6tpfhBhoPcuRAEwwnKmYxRySKqq+k44G62qUIpM5E3kRCjTHLTTXSpbmykvD8n3ARCOj0I0SpBeaW6Gnj1VSqueMklSQ8tKnYPgvW6u349cOON5n3rPsA2h1Ug1NTQbysehMRJW1qPUurDAJq01m8qpZal63M8juVaANcCQG5uLurr6339/K1bZyAUmoqXXoodG3LsO++ga+ZMbKyvx3FlZehYuxabkhjvokV1WLu2HEND7aivpzaE27cXAzgWq1dvwNix+x1ft3p1JYCFWL16FQ4e7MKePTUA5uK5517H+PHRDZN16w4DMBV723IRwhDqX3op4fGng66uroh9YNcu+k1WrNiI0lKz3OX69bVQajqWL38p4RNtX98CNDYWor5+lePzWgPNzaeiq2sX6uu3o6dnHpqaSlBfvzJi240bZwOYjCef3ICuLue5SxfvvDMNwEysX/86gKVYu/Zd1Nebq7Fr104EcATeems5QqEjsX17E+rrN3t+f6d5SYT+/pOxZ88erF27G8AJeOutdzFlyl6sXFkBYDHWr38Lra0TAUzGQGcHmjdvRjWAtvfeQ0OUz8/LOwabN3ejvn5D0mOMG61x8o4d2LtwIbrb2zEXwOuPP45DXMLThXfeGQPgKOzbdwD19Wvi+siWlsXo7w+lbF784rgvfAED06ZhzU9+goFt24Y7RqnBQZxYUoKmRx/Fu4cdNrz98Q0NaKurw9tZ9B2tZNv8RKO4+EisWTOE3t5ytLZuQ339LsftmpoKACzFG2+8jffeG4fBQefzZSbgVCH7vLz3XgmAY/D88xswOEjn7v37F+PQodDwtTmVFBaejMLCPtTXL4+9cRS0noOurknIzx/EpEmvo75+IPaLEmTPnkIAx+P11/cCmIStW9egvt65MsTevRMAzMOzz65AT08OgKOwf/861Neb7vUJE47FihVdqK/fOPzYSDpe0k068/5PBHC+UuqDAAoBlAH4JYBypVSu4SWYAoBbVO0BMBXAbqVULoCxAFosjzPW17g9HobW+i4AdwFASUmJXpbqpY8Y/POfQE7OEGJ+rtbA/v0ovuQSTFi2DKitRRGAiUmM9wtfAD71KWDy5LHDn8+e9Dlz5ruuAnEe3/HHH41Fi8xVjwULlsYM1eWeAgf6ypGjemN/b5+pr6+PGBMvKk6bNg/LlpmpLE88QasYp50Wvn08zJxJUQ1uvwNXvzjqqOlYtmw6Zswgm8Zp+zvvpNuSEve5Sxec+3D22VTqaerUOVi2bM7w8+zVOPHE41BSAlRVTcayZd6dek7zkii1tdNw9tkUpjdpEo2TvTLHH3+k2eiu/xCqjeXH8pycqJ8/ZQqQl1eSmf15/37g0CFMPekk2qF++lMsnTEDOOaYqC9jD0BRUUXc4y4ro1NSaWlp4I5hV95/nw62n/wEJ13gEHF6zjmYtGIFJp16Ki2tGm1eq089FdXZ8h1tpPK4yTRz5lD1GQA48siZWLZspuN27Oyrrj4cY8bQynPQfgP7vMyfT7eVlea5u7SUPLLpGPv48cD48UVJv/cLL1Dp1osuysGHP3xSagbnAjtz+/rISDnxxMU48UTnbdkrOmfOsWhupv/POmshjj3W3GbePKC9vRjLlpkLKSPpeEk3aQsx0lrfpLWeorWuBSUZv6C1vhzAiwA+amx2FYDHjf+fMO7DeP4FrbU2Hr/MqHI0A8BsACsArAQw26iKlG98xhPp+j7JMDAA5OQ4FNm3s38/7fWcfzBxYlIhRgB52EtKwpNskwkx8pKoPNxRsreEQoyyALfv19mZfAxnrBwEzidg92q0nhP822bCbTowQDYVVymyJ3RzDkJeHu1jmcxByMkxx8m/pTXEqKQEyFFDUH2HzB81yCFG7HPnECPAUwGDZHIQ/KhaknLYujzhBOfnzzmHVgN4mZcPJG5hLmSUmhozXCRaiFFpKe2bQQkx8kJlJV1P/QgxAqg/4Lhxyb8PR+Y5VWZKNWVl9BvZcxCcsIYYcXsTe5fp2tphB6KQAJmoHHwjgAeVUt8HsBrA3cbjdwO4Tym1BUAryOCH1nqDUuphABsBDAD4nNZ6EACUUp8H8AyAHAC/11pnwPcfGzJYPAgErmA0fTrdTpwIvPxyUp9dWkoVEa0HTqJlToH4BMKQDiEU8vC9A4DdmGTsFaASgXMQ7OXXGbtAiJaDwL9tJnIQOKEuN5eS1eyJ0laBEIQchFAovOkcjyc/H7j2WqBu++PA/TCv2B4EAhe88R2rQOBMPg8CIdkchIBXKI7ktddo0Ece6fz8OUaV7GeeoeVFtkT4nCtkFOt1KppAUMoU7D092SEQrBWBmHQlKQPAL36Rmvogl15K5/QUVLKNiVIkatgU8ioQ+De1d5meN4/6FtkrHAne8EUgaK3rAdQb/28DVSCyb9ML4GL748ZzNwO42eHxpwA8lcKhpgXPHgQ+KqwehJYWeoMkziJ8TWS8VDFKzoOgAZAlHFLZIRDYqE2HQCgro9/60CHnCxm7R60Cob+fBJzdQMu0B4H3HaeuoEHwIGhNf079O6wehClTgCnHvBe3QAiEB4HVrAfvYrJlTrPOg/Daa8BRR7lbjNOnU8mZZ54BvvhF80BKdUkeISGsRlysBl/l5ZSr39ubkkbOvsAVgZh0ehBOSlE00LhxwP/7f6l5Ly9UVppeJC8C4cABOoWPGxcpiLgk75o1IhASIdtO/1mJZ4HARoBVIBh5CakkEQ8Chyh5Egi7zVJH2SIQAOeV+1QJBMDd/uSVeGuZU/5sO1aBoH3+aa061X6h4+eBzAqEISOijQ1bN4EAwGzYwBPT3W3u+A6wQPD7dwdA54bSUrKaCgro1gcPQlZVMTp0CFi1yj28iDnnHCrt1ttLB1JhYeTSo5ARvHoQ+PlsCjECIhdW0ikQshVrF+h4PAhOAmDxYrptaEjR4EYZIhB8IC4PQnGxGTjIF60Em6W5kfYchA4zjkYEgikQ3PIQnEKM+LPttLVRic7ubtPz4BfWi1k0D0JubuZCjFggxPIgAAgvVs7/R9nBy4v7MDgIdK3c5LqNI2+9Bbz5puvTra3A734XQ3hwiVOOUXOaAAdGVaO01atpp4slEE45hX6Q9etJIFh/VyGjjDaBYPXKCgRfB5WK3t+isJCuM9EEQkUFHd6rU18kalQgAsEHcnKAwkL3lclhmptJFPDFigWCWyjBG28kFIzOBpKXEKN4cxCGhoC2XvNsHcqi626mBEJzM6148wXR7bfu7aW/RYvovt9hRnYPQhBDjNgB4MmDYL36cMfdKGFG5S1bAQBtv3vEdRtHPvc54PrrXZ/+29+AT38aWLcuynuwQGCqqz2FGI2qRmkrVtDt8cdH344PoLVr6SCS8KLAEI9AmDGDNF57e3YJhKYm8zwlHoRIWCCUlMQ+/8yYQc1No+UYLFkiHoREyabTf9Zyxx3AffetiL1ha2t42QHe490MgYsvBr7znbjHk5NDGsRLiBEbhG5JvHa6uoAhmMuO2WRgpEsgcHhWNA/CuHHhRi1/thUOL+K4Sr8Tla0JddXVZEtbG+f199N+lZOThR4ELwKh6V0AQFt9Q3yD2r49qjHP44t6Edu1K1IgiAchnJ07aU657Iobhx1GJ7Q1a0QgBAy+5Fm7nbvx8Y+TOGhuzi6BMDhoeo1FIERiD7WNxsc/Tt2rd+1yFwh1dcC773pr8iqEk0Xm2yiALUUmmgehvx/Ysyfh8KNYK7z2EKPcXDoJxxIIba1koRXl0puHJlRF2zxQlJY6d1K2lohNBC8hRrxqwuPgz7bCAoHjKjPhQbCGGAHhu6b1YhckDwLPadIC4T1a4m/b3OT9uOvtpR8pSh4Rl4t1dYP39NDiAY8RiCyHEuWlAP0ufEx7Jes8CLt3028UK1woFAIWLqSSqM3NUsEoQHB6jZcOwMuWmVOXLQKBtSsfuumsYpStWMt9x+Kqq2g/GRiILhC0juGhFRzJptP/yMfuQSgtpZwEJ4HQ2MgteBP6qPx89xCjjg6qDACEryDyauzgoLlSywwMGOFF71L5gcMmkKEVKkpBnTWfsHsQtPYnSbm5OT6BMH06XUTTKRCccnWtIUb2Cx0QLhCC6kFgDweA+AXCVsojaEM58K9/eRsQVyZrb3c94FgguHoQuHuQNeaiupq+WIxlMRYIQPxehKzzILBA8MKiRRSbAIgHIWBUV3urShQKkYEIZI9AsLcwEQ9CJPZcvGhMmwacfjr9Hy3ECJAwo0QQgRAk7AIBcG+WtsdoGp2gQMjLc17h3b+fGqx897t0AraW2WRj66MfBa6+Ovx1F15I7r62jXsBAIfVkqWWTQaGXSD09ZFR7EeSsrVyA6+csF3IsEAoLyebhotepZrnn3fvc2D3ILgl3BUUJBbWkiyxchDy8y0rk1zFCHAXCOvWATfdBBw4gPLdtAR1oHQq8Nxz3gZknSSXY5WN+IYGl0Rl3nHGjjUfixV+aGCdg3jnI2s9CF5gNxwgAiFgTJtG1yAvXH01Hc98jg06IhBiE0+IEQB86lN0O3Wq8/NTp9KCmiQqx484t4LC0BAt28crEBIsgeoWArJ1K638Xn898IEPhK/MlJaSrfL888DkyeGvefJJakbaVknjmTW/AHgtuwwMewdj/t+PHISjjjLvT6Iu89i9O3w7FggVFbSbpKsmf0MDLUzv2BHu2bAnKQPuTX8y1TMglgchrK+EFw/Co48CP/whcOAAKkGKqXXWccBzN7l3vrNiFQj79zvGx7MHoa2NNo+wV1kpWq0g6wTMnOn68cl4ELKqzOngILB3r7uVYIcTlQERCAHjN7/xHg43Ywb1Ep03L71jShX2woRSxSiSeDwIAHDZZXRNPOUU5+eVAn71q6inScEFEQhBoaODrBurRQbQGcWpVzgLhJ4esjCsq6EecAsx4hPXlVdGNiMtLaUF1c5Osw6/UsC999LzO3cCrdvaAACHLaajO5sEgt2DkCqBUFxMv4OTQNA6MgehpAQYPz4yhMjqQSgr81TEJiF4H7AveFsFQFUVfSe3pj+VlaR3/TYynTwIfX3mX9wCge/feSfGQiEU0miumgs07HMW9HbsAsEBFggAibMIe9XJg+CxBHKyIUZZc/w2NZG15dWDsHAh3RYUSA+EgBGvIXfiiekZRzooLaU/Pm+KByGSeAVCKESLmdH4xCeSG5MfKKVyAKwCsEdr/WGl1AwADwKoBPAmgCu01r5m9mXL6X/k09pKt04eBCcjgAUCkFCYkVuIEX+UUzxfaSl5CwAz93JoiARCTg6d7DZtpbPdrDm0a2WNgQH6ftZeWakSCOwCdxII3d30W1pDjAAyEu1ViuwCwc0jkSy8D9hDjKyrXTk5FAbgloNQVUXih3NZ/MLuQWDvzcGDCQoEi2IMTZ2CceMUWgbL6QF7DJgTO3eaXoYoIUbTptGx4hgnG8uDEIVR40Fgd5tXgTB2LB1k06dn10lKyHq4AJnW4kFwIt4QoxHE9QCsTXZ+BOBWrfUsAAcAXOP3gOTMGBTcBMK4cWRl2YOTkxQIbiFG+/aRPTN+fORz9gN2xw6zxNgVV9Bjq/eS4cKrQNl07eXv190N/OQnZun6VJyoysoibc/f/Ibco0Ck46i21tmDwOX/MiUQrBU3onUF5e9jf4904+RBAMjO7+ujBeNhWCCEQqZLxEkgzJhBy5RnnonKSqDlkKE6vKifnTuBuXPp/ygehKoq2swxTtbJgzB+PN3/85+jxmOMGg9CvAIBoAzXiy9Oz3gEwQU+b9orBQpERQXZIKNJICilpgD4EIDfGfcVgNMBcNOdewFc6Pe4suX0P/JhS8ouEMrL6UxivdIDJBDYGksgD6GqKlxjMI2N9JzTqgYfsGxX7dgBvPACneDYmG44OAuleb3DXvusMTBgfr/OTmovsWYNcOyx4eHKiVJREa7jWluBL34RWLWKQrnszV9nzCDb0lotqq3NLP83ZgyNM2r33QRh93e0ECMgmALBKQcBMAVCmAeBE2zKymhH5R/VSmcnPf7SS8Ddd6OqCmjuMcL5vCRZ7NxJZTSUiioQioqAOXNcels4eRBycoDbbgNefRX41rdcPz7ZJOUR60EA6CD//vfTMhxBcKOmhs6b1saSgklODnDddbHDhrKIXKXUKsvftQ7b/ALAVwHwFb8SQJvWmld/dgOY7PC6tJJF5tsIx82DwKuG9nCGPXuA+fPp/wQ8CHV1ZADby5U2Nrr3GeJwjXPOodsdO2jFc948yyIpJqC8dAAlJbRam40CobGRjLYbbwSWLw9PyE4Ue+PbBx4gg/Xpp4E334xMsqutpeetBjgLBIBsxcHBSN2YCryEGAGRAsHqYWA3cYJFthImlgchTCAoRZY5H2NjxkS6ZbjOrdFdsLISaDloCItYAmFggAzXmTPpuHYRCD09lKdSVeUiqHhM9lItl18OXHMNcMstriWtenrM3yDefSWrypy+9x5Nrj1WTxACBp83RSC4c/vtI0ogDGitj7b83WV9Uin1YQBNWus3MzQ+V7LIfBvhuAkEtgitxojWJBC4VF+CAuHgQTOngInWspwNjZNOouvwjh0UM11XR3ZWdTlZIOXjQlCKVpGzUSBs3ky3br9DIvCqEXPPPTR93BXZDieqWsOM7AIBSH2YUV+faaR6CTHiPBQgCz0IQKRAcAoxsvi6KyuBlg7jS8YSCHv2kGKZPp1CgqJ4EIqL6b2bmx28Qu3ttIGTJXHppXTL/RZs9PSY+8yILnPqtUmaIGSY6mo6dXB6kwiEUc+JAM5XSu0AJSWfDuCXAMqVUnzFnQLAIeYjvWTL6X/kwwKhoiL8cScPQns7WRXz59MVPAGBYG0eMjBAC3CAN4FQV0cG7PLlFI7C71VbTAZQ+URaYc1WgbBlC92mUiBYE9PWrSOvwSc/6b49CwRryIkfAqGpyfyfd6t9+8i4tlfcqKmhxzgUPwgCIS4PAuBNIFhaelZVAc0HcqCB2DkIvKo/fbrxQvck5aIi+s36+hx6n3V0uBd65xXzKN4JPqWM6EZp8fRAEIQMwtcVjooTgTC60VrfpLWeorWuBXAZgBe01pcDeBHAR43NrgLwuN9jyyLzbYTT2kqGiN2CcfIgcPLA1KnmsmOczJtHq8ENDcD3vgcccQQZJtEEwqRJFDa0ZAkZsFxxpW4O1WmsHSR3RPk42q1mzIhdBTJIpFsg9PfTND/6KC10fvzj7ttPn063fnsQ2MuRm0vGfW8vhY/99reRHgR7pU2rQBgzhv7PlAchKYFw663Aww/TY52dER6EQ4cUulVpbA8CC4TaWs8eBMDhN2tvD09QtsLVBFzOAb29iQuErPQgCELA4esKL8qJQBBcuBHAl5RSW0A5CXf7PQDJnw8KTl2UAWcPAguEyZNpBTGBJOWCAhIJq1YB69eTOPj3v8mIcjOMr7wSOOMMGuaMGebjiy+eA7zzBmrbGwCcNmzE/v73cQ8ro6RbIABkTG/dSraMU6UopriYDHCrQDhwwBQIvKhtX/BOFjb2Z88mm3PXLvqMXbsik5TZ8GQ72SoQOMQsUzkIbiFGEe1CPvtZ07AcMwbYuBH46ldpR7/kEscQIwBoKatFSSyB8Pbb9INxiNGrrzpuxgLBmrfBAhGAeBBiMTRE50SvTdIEIYPYBYJUMRIYrXU9gHrj/20Ajs3keGTXDAotLc4CIZoHgQVCglZYXR1w331mzPPTT9Otm2Gcn28KAw6BmT72ACra9wBf/zpm9BaGDdleujPoWAVCbm5qvR9WgbB9u7fmrdZSp1r760FYsIC6Y/Pnd3ZGJinbd83+/vAyopWVwfMg8JiH+eIXzf/HjDFLOPGXsgmEYSO+pBbTYgkEzuAvKCCB0NLiWDt0OMQodABARXwehMJCGl+U8KURn4PQ3EyTm4pqAoKQZsSDIGQL2XD6Hx0k4kGYNIkMjwQFwpIlZHiOG0dGxD//SY+7VTGywgbukvId9M9996EW9H+EEZYlWKsYTZyYWuPIKhB27Aj3wLhhbZbW2xtu4KZLILB9PG8erWxv2mR+jj3EyO5BsAsI16o8acSepFxSQreuIUZWLLkGaGsz2y9bHh/2IBRNcQ4x+u1vTdcZZ/AD9GMMDka8ZmiI5ra4GKj8v+/QezfbspSjeRD4vR3OAVon50HImjKnnDiTSpefIKSJCRPIwyoCQQg6IhCCgptAKC6mq7TVsNi/nwyGwsKkPQgAVUtcsiS+6j0sEOoKNg5bjbV5ewFkv0AAvImkeOD327WL9J1XD8KuXeF2pR8ehHHjSHsCFILGn2NPUnbyIFif5xCj3buB//gPb20DksWepJybS4dJZydw6FCMizELgcpKiudyaKXNAqG5YDJ+uv5c3HGH7T1++UvgG9+g8k7WDH6OJ7OFAnHp0eJioKqdcnha1u+jifjhD0lBdHS4exD4vR1CjPr6SCQkE2KUNR4EQEqcCllBbi4dsrwgJwJBCCrZcPofHbgJBKXIErN6EDo7TQuRBYK9oYEHli6lEOwvfzm83KYXgTB3LkVnXFHwF+C004Bp03DY4lLccANwwQVxDyUQFBSYJ+tUL0aOGUNhJKtW0VR5EQhz55LRvWWLKd6mTTPfD0iPQKiuNg3hN980P8fuQWCb1amKEWCGGD3xBPDYY1T1Kt3YPQgA2fft7SS2WPg4UldH2fqXX05qhhM8nHIQ8qrxs92X4Fe/sr3He+/Rj3jvveZ7AjEFQlERUNFL7pvmV94GbrgBuOkmYMMGGnwCHgQWBGPG0O8xYj0I/JtGS+oRhABxww3AqadSI++lSzM9GkFwRnIQgoDWJBDcgvbHjg0XCB0dpoXIoQvt7ZElUmNQUEDNWAFzobOgIPpiJZOTA/z85wCmvQUceTpw663IUQo/nhfzpYGmtJQM3lQLBKXoPV9/ne57EQjWUrTcZI0fKywkYz0dScrV1eZi7Ntv0y17EKwCIT+fVr7dPAgcYrR6Nd23JlynC7sHAaBDZfVqMsb593Pkssvo70c/ouV3NjwtAoE1/IZDh6FxYDya3jGTjNHRYSq2n/+cbrlXiYtA6KYCYCguBnIPtqMcB9Cyajvwyp/oie3baZJjeRA2bIh4mMVHYSH9iQdBEILBV75Cf4IQZLLh9D/y6ewky8YtK7a8PDw+o7MzXCAASZeL4YXO6uo4eg1pTZZrdTX1ZLC3A85C2BZMRzhzdbUZ4+8lB2HePDK4Gxrob8IEM1RJKVpUTrcHgRPYnZKUgfBd08mDMDBA1bEAfwSCmwfhrbfo/6gCgeHYKQ4StuQg5OWRrf5844Lhz1u/3niSc4MAOi6mTzdFu0u1IatAQFcXqlQLWnqKzGSJDRtoEhLwIFi9E/EKBKffMbDwd8+2qgiCIAgBRgRCEHDroszYPQjWEKMYddC9cvjhZJPEZRhzIucISg5Mt0AAyOjyUrI9P59EAguEurpw8ZZqgaA1CYSamkhbyynECAgXCPbn+T3efZdurU3f0oWTB6G0lB7Pz6f9PCZs1LNAsCangL7X5jYznIU9JMPbn3gi3VrVCGe9c3ckA6sRj64uVFYqNIcmUnhRYSGwdi1tEMuD0N1tqg2H905UIGSFB2H/fvp9JJhbEAQhZWTD6X/kw6VeEvEg8JIyB6kz27aZy78eyMsDTj6Zylt6hmticsesEYAfAmHKFO+1r+vqKG9hw4bwPBEg9QKhp4dszPHjwwXCpEnOIUZAdA+CPeIjkx4EgJxcUasYMexBYGPeJhD4e03DTowtGxpuGDi8/ac/TbfWCcvPpzKcth9h2INQOAQcPIjKikG0LDgV+Na3KOFk3TraIJYHAYhYJGBBkIhAsPeTCDTNzZJ/IAiCkGJEIASBRDwILBAWLiSL8y9/MZ9fsQI47DAquRgHTz2FyKos0eDA+BHoQUh1FSPA/Jm85B8wdXVmmXe7QODGv6ni4EG6LS0le5Z3sUWLzDKr8YYYMccfn7kcBJ5T++/nSgyBwN/rSLyFusN7TYHAHoSLLwa+/nXqLGjF2tjCYFgghMh6rxzTj5b2XHIVTZ9uJoHE8iAArgnQieQgZFWI0f79kn8gCIKQYkQgBIFYAiGaByEUAi69FHjmGfN97ruPbr/9bdPq80B+fpxdHcWDEBcsOrzkHzDWKBV7/HyqPQhsrBYV0S0bwosWmdvE40Hg1xcUAOeeS3qSjdZ0Ec2D4Cn/AIgMMbL2R4D5verQgLqZHVi71hAmu3fTsVBcDNx8c+REOwiE4TAgTT9+VcWA6QiYPt1UPAl4EJIJMXISWoGluVkEgiAIQorJhtP/yIcN+2hVjDiRWevwKkYA8LGPkXX2t79RIPhDD1E8RWMj1WVPFyPYg5AOzZOIB4GL4BQVAbNnhz+XjhAjwEiYBdlc+flUbpWJx4PANtvChcCsWfT/zp2pG68TKfUguOQg8PeqQwPqJjeju9uI8Nu9O3pySW0tJTL39Q0/NOxBGKKeC5UVGgcPUs8GTJ9uvjYJD8KoSFKWECNBEISUIgIhCLBAcCtTygYLd3saGAhfUTzySLLA/vhH4NlnyVC4+Wbg/POBH/84zCBJKY2NZBHGWV41yIwZQ3/cgTeVsAchHoFQXk7bL1oUaayly4NgFQjTp4fbpm4eBK0jcxTKy2nMdXXmd053mJGTYWsNlfIEH29clYh/EIMwgTCBmgM2NIAExdSp7u9bW0sDtCQqRwgE7rPQgnCBEM2D4FKoIBU5CIH3IGgtIUaCIAhpQPogBIHWVrJICwqcn2cLra3NtFytHgSlgGuvBb76VepGVV5OMR2Dg9SlatUq4IQTUj/uxkZaavdcFzX4/Pd/A2edlZ73PvJI4Gc/Az7ykfhed/vtzoIlXR4EDjH61rfo/a1Gol0gVFTQbrZzJ91aPS+hEPCHPwDHHmuOP92VjJwM209/mpLvvfT3AECit6SEwvO4k7mFq64CxucewLSv7UJN6a7hUrSX7d5NTQPdsKqkmTMBWH7zQRIIVRPps5qbgUlePQhjx9IYXUKMOAeBG9p5IWs8COxuEYEgCIKQUkQgBAG3LsoMr2i2t5tXbltcNL7yFTJAvv51skALCoBTTqHn6uvTIxDef39E5R8AFJk1f3563jsUAr70pfhfd+65zo+PGUMr0KnqeGv3IHCHT2sHZKcQI8As9Wn3jnziE3Q7NEThSpnwIMyaZYY4eaaigoxP+3EGiiK69vP5wNeA/K5WzJ8PNKwaoOMzlgcBCPsRhn/zAVJ6lRPplNzSAmCmIRCUiu7SCoXIQE5ViNH27RgsmTH81oGGRZGEGAmCIKSUoJ/+RwctLdEFgtWDwGVr7IaLUlQ9ZfNm6gQLkNGwcCEJhHTAXbWEjMBRJ6mqZGQXCPbPAZxDjAAMV/JxS8AOhShiJt0CIWWhMfzFbPkHwxQX04/R1oa6OmB1A6CB6DkIU6bQwCw/wrAR309VyiqrSYG1tIDKoubk0ATE+kIOzdKsAqGoyKNAeO01YOZMDK6kznKB9yCwKBIPgiAIQkoRgRAEYnkQWCC0t7sLBDdOOw149dX05CGMQA9CNsGGe6rCjOwhRox1V3PzILBAsEbF2HEo4pNyUhYaw3k1bgJBKfryBw6grg5oaslFI6qjehD+8ng+Wqvn0Y+wdy+weze6u8mzktNt5CBMLgRgCITcXBIV0fIPmPHjU+NB2LgRADD0OrmNssaDIAJBEAQhpQT99D868Bpi1NZmWoNeBcKyZbQ0vHJlEgN0YGiIBIJ4EDJGqgVCsh6EioroofKzZlFX5Tj698VNyj0I0Y4zI0ObqyM1oM7Vg7B7N3DJJcC9hddSb4NTTgGuuALd3cbv3WUIhCmkzsJKnXpJnpg+nXKNnnySJnL79mFBUFAQh0AwykwNvrUGQBZ4ECTESBAEIS2IQAgCra3uJU4BZw+Cl1VFIDwPIZW0tJA1JgIhY7DtmmqBYPcgWBfR3QTCrl2xqzMtXkwad9euJAYZA/YgJC0QYnkQADpmm5pMgZBzlKtA4OTsvYWHkVjfuhXYuRM9PYZAMI7rwqpSlJSYzdVx003AN78Ze7y33AIccQRVLhs7Fpg5Ez2NbSgsJGeHZ4FgTM5Qw1oAWeBBkBAjQRCEtBD00//IR2vvIUbRchDcqKykAvpr1iQ1zAi4B4KEGGWMVOcg2PsgMKGQubu5hRgBsQXCsCHdkNj4vMAehKRXvmPlIABUGmnNGowt05hRtA+rx5wa+QMZsEBozJlE/4RCQGMjurs1CbKuLlJf+fmorLQIhHPPJddDLGpqgH//m4oVXHABAKCnpWdY7BUW0vzG9N4YAmFwHx3fWeFByM2No0SVIAiC4IW0CQSlVKFSaoVSao1SaoNS6rvG439QSm1XSjUYf3XG40op9Sul1Bal1Fql1JGW97pKKbXZ+LvK8vhRSql1xmt+pVQW1ts8eJAKyEcTCHl5ZLUlkoMA0MXTCGFIGdxFWTwIGSNdIUZ2DwJg7m52D4LVLoslEBYuJLuYKx6lA189CEcfTZb8jh2oG3wTDUMLh586dIgO10OH6D7nXjTmTgGmTQM+9zmgpwfdHQNmiFFpKaCUU76xN0pKqECBUSqr5+AgCimlAYWFZq+KqOzcCdTWYsi4NDgKhDPOAH7xiwQGmAa4i3IWnvoFQRCCTDo9CIcAnK61XgygDsC5Sqnjjedu0FrXGX8NxmMfADDb+LsWwO0AoJQaB+DbAI4DcCyAbyuluDPX7QA+bXmdS0HIAMNN0qIJBIAMltZWUyBEM1zsFBeb1l+qEA9CxmGBwJ2Mk6W7m+LVnYxr/iz7Ajm3DADcKxgxxcXAnDlZ5kGIJsSPOopun3gCS/qWY3NHNVpa6NCYMIHeoqaGBBwLhH19VWSEH3MMAKCnvc8UCMZnhXkQLLz2GtnCTs+FYZwbeg4OhXkQgBhhRoODlCxxwQUYzKGeLBH7wu7dwAsvAM8/H2MQPiFN0gRBENJC2gSCJnjZOs/4i+bgvgDAH43XvQGgXClVA+AcAM9prVu11gcAPAcSGzUAyrTWb2itNYA/ArgwXd8nbfDVPpZAmDKFLs4dHbTEa1/KjQY3fUol4kHIONXVtHBqacybFMPx8A6wQHDa7diW9tIhesmS9AoEXz0IixaRQvrd73A+ngAAPPggcN99dJhefTU1J1u92uJBMA4bPm662wfMECPjs9wEwvr19PjWrTHGzgKhWw/PpyeB8P775GKYOxdDcw4H4CC0Xn2VbtNdjsorIhAEQRDSQlpzEJRSOUqpBgBNICOfWy7dbIQR3aqU4vbBkwG8Z3n5buOxaI/vdng8u/DqQZg2jVYeOzu9Jygz6fIgFBTEPxYhZeTnk25Mla02XFHHgVQJhLo62o15t081KStz6iUHoaCA8hDWr8ditQ51iwZxzz3UPfr444Ef/IA2a2gw56ilxag4zAKhazA8xAiOLQ0AmKFknj0IFsHnSSAYFYwwbRoG51G4VITQeuUVut2+Pb3lqLygNVWEOuywzI5DEARhBJLWTspa60EAdUqpcgCPKqUWALgJQCOAfAB3AbgRwPfSOQ6l1LWgsCXk5uaiPl2Nw6LQ1dXl+LnjX34Z8wGs3LYNB6NccA9TCpN27EDzli0Yk5uLFXF8h8M7O1He0oI3Uvi9D29oQHl5Od546aWUvadfuM1FNlJRUYeGBqC+viHp99q+/QgAY1BfvyLiuUOH5gMYjw0bGpCf3xb2XChUB6Acu3a9jJaWwaifQdGBi3HvvQ1YsiT8fVIxLxs31gCYizfeeA1btybe+2Ps9u1YAmDzvn3YE2VMcyZNwqTVq9E9eTJOOmUbfv3r2QCAL33pHbzzzj5UVJyAJ59sxa5dE1BePoC2tnw8/vjrmJTbiBMBtLcdQunBJrQd2AOdk4M19fXo7KxFW1stnn/+JeTkmOeEtWtrAdTilVc2oajofdcxhQ4dwikAWg4cQl9eG+rrG7Bt2wQA8/DSS8sxdWqP4+vGv/ACnYuamtCkKab/7TVvoe44c16O+uc/MQYADh7Eq48/jn5rlrrPFLz/Ppa2tODd0lLsHSHHcyKMpPPZSELmJZjIvMSB1tqXPwDfAvAV22PLAPzD+P9OAB+zPPcOgBoAHwNwp+XxO43HagC8bXk8bDu3v+LiYp0JXnzxRecn7rhDa0DrPXuiv8GvfkXbHXec1kuWxPfhn/mM1uPHx/eaWJx1ltbHHpva9/QJ17nIQq64Qutp01LzXhdeqPWiRc7PXXUV7X7//nfkcx/+sNbjxnn7jMZGep+f/SzyuVTMy+230/vv25fkG61ZQ2/0+99H3+7OO2m7iy/W+/drnZendWGh1m1t9PQ552hdVUWbnHce3a5cqfWTTwzov4Yu0rVjW/UVV2g6ps87T2ttHupNTeEfdf319PgvfhFj7ENDWodC+uia9/QH9hGZsAAAKuxJREFUPkAPPfIIvXbNmiiv+/GPaaP2dv3m95/SgNaP/d8uc17a2rQOhWisgNYrVsQYSJp57DEax+uvZ3YcGWYknc9GEjIvwcTveQFwUPtkZ6f6L51VjMYbngMopYoAnAXgbSN3AEbFoQsBrDde8gSAK41qRscDaNda7wPwDICzlVIVRnLy2QCeMZ7rUEodb7zXlQAeT9f3SRsca8Exz25Mm0a3GzbEV8EISE8OgjRJCwS1tZSDELM6jQcSDTE67zyKt/fCxIkUTbd5c0JDjEnKGqXNnQtceSV1Io8GJyovWYKqKuDLXwa++lWzulNdnRkudLxRoqGxEbjpf3Jwjf4d2nryzT4IlhwEIDKUiOsTxKxwpBRQWoqevpzh+eRIqc4XVgJ33OH8ul27KLSqrAxDE2sAADmtlu7Mb7xBMVxXXEH3uXZrpnjrLZroRYsyOw5BEIQRSDpDjGoA3KuUygHlOjystf6HUuoFpdR4AApAA4DPGNs/BeCDALYA6AbwSQDQWrcqpf4XALcC/p7WmiOYPwvgDwCKADxt/GUXra2UdOxUW9IKCwRLtRPPcA6C1qkrB9jYaFo8QsaorSWbbffu2FWEYtHd7b4bulUxAoBrr43vc2pqzCJYqSZlOQgFBcC998bebskSalJmKKRbbol8muHDZedOYONGYECXA32ISFLmnFu7EPCcgwAApaXo7swdns9h0fHHJ4F9dwKf+Yy5bVsbnYd27hw+zwyOJ/Efam4CYCQwvPIK/bCXXUalVDMtEFavBg4/3F3VCoIgCAmTNoGgtV4LYInD46e7bK8BfM7lud8D+L3D46sALEhupBkmVpM0Zvp08/9EPAhA9DI18TA4SNaLlDjNOCwKduxIXiD09Lj3m3Lrg5AI1dWWaj4pJmUeBK+EQsDXvub6NDeHU2q4simefx4YGDC3sScpu3kQ4hYIrXnDh/vwe25rB/raw7f91reA224jpWJ4TAYrSKXkNL8PwDj3vPIKKZ6aGjpnZVogvPUWsGxZZscgCIIwQpFOypmmpcWbQKioMA39RKoYAYlXMtq4EVi6FFhuFKHav5+WaiXEKONw5aBU2GpeQoxcGgXHRXU1sG9f8u/jRMo8CCli1iz6TSdNIpE1bhzwr3/Rc5fW0vFUXDREIYAeBYKnJmqlpegZMAXCsFeiPZeUIHdwA8hzEArRGGZTkvVQiJRgqMlQcn19dPyfdBLdnzEjs6VOm5qAPXuAI4+Mva0gCIIQNyIQMo1XD4JSphchUQ9CInkIGzcCp59O8cfPPkuP8fKveBAyzpQpZNulwlbr6XEPMZo0iXZBNw9DPLAHIR1VMn33IMQgJ4c8B4dTWwFUV1MuQUkJ8L2zX0EIg6gq66Mfwziu3UKMOAfBswdhsGB4PktLgbzcIbTAUB/tFi9Caytw8skkAL7xDQCWhnP7jWN99WraQawCwYsq3byZdppVqzwMOg64HfeSCCe1IAiCkAICchkdxbS2mkuGseA8hERyEIDEPAhXXkmWYVUV1RwHzABy8SBknLy81PVCiOZBOO88quc/ZUryn1NTQ/X4eUU8lQTNgwAADzxAzdMA85BZvBiYc0QO1mIRrjplBz1oeBBKSqjHRTIhRv0l5RjQucPzqRRQWdxjCgRr+21epDj22OFz0XDDOfYgcP+DE0+k29pa2unuvBO4+GJTvdj5299o4C+/HHvQ8bDSSEnjGC5BEAQhpaS1D4LggdbW2BWMmEQFQqIehL17gTffBH74Q+DFF02BIB6EQMG2WrJEEwipLBbDRnJjY2o8ElaC5kEASBAx/N3r6ujOfGwE3jNKOhkCQSnnbsrxhBj1FJFX0jqfVTlt7h4EmxfT9CDsw+DgIAmEWbPMLzBjBoUdcbJzUxPw9NORO9A//0m3GzfGHnQ81NfTDun13CkIgiDERYAuo6MQrelqzzEFsUg0xChRDwKHFJ17LpV9fOcdGrN4EAJFKsLBtY4eYpRKrAIh1QTRg2DFLhAAAFu30q2la3NlZbgQ0JoEQn4+eV9iHcrdBWQ4W+ezcuB9NIcm0B32IGjtKBCGf8fBPhS0tpJA4PAiwMyIP+EEah39yivAt79Nj917L4UsNTWZnocNG6IPOB4OHQJefTV2CVpBEAQhYUQgZJL2dipgP2GCt+399iD8859kxCxaREHUBw9SYmBjI4kOi0EjZA7uhdCXeONg9PfTqrEfFSO9CoRvfAP4xz/ie+8gehCssDdhyRKYHrgtW+jWcjxVVYV7EA4eJFuek9JjhRmxQBiez6EhVHa/h5ZCI0aMBUJ3N+04Lh6EEIYwbvlyUitWgbBsGfC97wGPPw5cdRUJhTfeoOeeeIKEwfnnU7mm+fPJg5CqpJPly0kliUAQBEFIGwG9jI4S9htNiMaP97b9rFl069XjwCTiQRgcJA/CuedSzANnWb79tjRJCxhTp5LtlcyKPO8aQREIBw9ST4GbborPrhyOnQ/ome2884DrrqMcBEyeTAN95hl60uZBsIoADvHnhftYYUY9+RS7VVxk/Hg7d6JqsBEtypaDwI0a3TwIGMRhd9xBY/vAB8wNioqAb37TPBfNn09eAq1Nb8Hy5bSYcc01tBiSqtJVL75I56RTTknN+wmCIAgRBPQyOkpoaqJbrwLhuOPImDjdsZWEO4l4EFauBA4cMI2CuXPp9p13yIsg+QeBIRUhOz09dOtHiFFFBSVXRxvvunVka65fT+XuvTI4GFxxANBhdMcdRrnYsjJqu+zgQbCHGHH+AQuEmB6EXKpLW5RjuJXWr0clWtDSWwINxBQIVg9C7sGDwE9+QqWs3Jg3j84Xu3bR97nmGvp+55xjqCGkLg/hxRcpRkvyDwRByHKUUoVKqRVKqTVKqQ1Kqe8aj89QSi1XSm1RSj2klMr3e2wBvpSOAtiD4DXESCng7LPjt4AS8SBw7DCLkZoaWg189ll6jquZCBknFQLBTw9CKET6Mtp4GxroNicHuOce7+89NBRsgRDB975HPUaAsNDBqiqy3dl7ErdAyDM8CMpQfm+/jUq0YGAwhI5QhXcPQtU4HFiyJHa77Hnz6PbRR0ldnHkmFTi4/XbyLgCpEQg9PcDrr0t4kSAII4VDAE7XWi8GUAfgXKXU8QB+BOBWrfUsAAcAXOP3wKSKUSZoawPKy+MPMUqURDwILS20zMklWDnM6IknyGr7r/9K/TiFhMg2gQDE7qbc0ECHyLnnAn/+M9mDc+YACxea27S10WKy1hRtUlVFtmlQE5QdycsD/vpX+rN0S6+spO/S3k6/g10gxAwxyiFvRDG6AZQD77yDqjFFQCfQUjYDY716EO69B+vUOpwSS3WxCPjLX8z7HBKpNb1/KgTC+vWUMyELFIIgjAC01hpAl3E3z/jTAE4H8HHj8XsBfAfA7X6OLZvW2kYGK1fS1X/9+vhDjBIlEQ9CezvVoFTKfIzDjC6+2EyYFjIOO6CyJcQIiC0QVq+mKJJrr6XIlY9+lESCNR/hf/8X+MhHgIsuAr78ZXrs4EGgoCCtQ089NTXA5z8fdqxxaD+vIXAOguck5RAJhKIhY1Hg3XdROZXOAy0l08wypzEEQs70KRjyslNUV5OSee01Umhz5pjPKUUehlQIBH4PFiSCIAjBJlcptcryF+GOVUrlKKUaADQBeA7AVgBtWusBY5PdACb7NmIDEQh+s3Il+e/XrqWr/5gxQGFhej8zN5fqI8bjQWhvpxhiK3xR/tKXUjc2IWny8sigzCYPQk2Ne87qwAAdHkuWkCjYvBm44QYyiq39vd59l5xap59uNupdu3Zk2I7sFeKKwuxBGDeOdHtMgaDIa1g8aCiLd95B5UwKO2oumuo5xMhzuJZS5g8/e3akSps3jxZF+I0TZdMm2uEPOyy59xEEQfCHAa310Za/u+wbaK0HtdZ1AKYAOBbA4X4P0gkRCH7z7rt0u2MHeRDS7T1giovJCnzvPeDhh2Nvzx4EK5/5DCVJH3NMesYoJEx1dXJFYjIRYrR/v7lSbWXzZqpiyU1yZ80Cjj+e/rf2e9ixg5xaJ55IxbW6uyk0aSQ017WHjbFAKCuLTGB2okfRRBYPdpIYaGpC1RF0rmnJrwkXCAUFEa6jYQ9CPOFanIfgpNCWLSNXUH19HG/owMaN5J3IlehYQRBGFlrrNgAvAlgKoFwpxSe6KQD2+D0eEQh+YxUI+/f7JxBKSsiDcMcdwKWXxl6CdBII5eWUJC0EjlghO7HIRIjR0JAZQmOFE5Sthj6H1rBA0Jr+r62l7YaGgL//nUJxlixJ06B9JJZAiOlB0DSRRf0dVHkMQOUi8lC35E40BUJLC3kPrKGESLBcLAsDJ4Fw4YU0+HvvjeMNHdi40RQigiAIWY5SarxSqtz4vwjAWQA2gYTCR43NrgLwuN9jE4HgN5s30y0LBK8VjJKFPQh799L91aujb+8kEITAkqxAyIQHASBj/pJLwp9raKCIuCOOMB9jgbB9O922tABdXaZAAKihLzAyPAiVlbR6bxUI+fm02F9VFduD0D1EYYvF/e3DixLlR85EKATsVxPwH1t/So5Ehy7KQIIeBBYGCxZEPldURAsTjzwC/Pvf1ERt58443hykYrdvF4EgCMJIogbAi0qptQBWAnhOa/0PADcC+JJSaguASgB3+z0w8dP6SX+/aeHs3EnLnUcd5c9nsweBVw7feotKEVpZs4ZqsR92mAiELIMFgtYRi8GeYA+CXwLh9NMpL3fTJip8s2aN+dzOnVTQJy/PfKyigtJ12IPAt7W1VNmnrIwq8IZCzvZptpGTQ2sHLBA6O80qqJMmxdb3PboQCkMoONQB7NgL5OQgNGsmxo0DHt19NDb2ViP0EHCJi0BIyINw+umk0i64wPn5q68Gfvtb4NRT6f5ZZ8VXDe3dd2lgVuUoCIKQxWit1wKI8HtrrbeB8hEyhngQ/GT7dlqaq64mC6e52X8PAlscdgtj+XIK9OYEZBEIWUV1NcXtcyhKvLAHwa8Qo/Jy4P/+D3joIVoZ59V/gHZRe6NupUgI2AXCjBn0HIcZHX64f98h3VgTuTs6zJoBM2bQb8SizonugXwUoQfqYBeFGM2cCeTno7IS2NhCP25Dg06tByEUAq66iibUiaVLgaOPptuxY82Oy17ZtIluxYMgCIKQdkQg+AnnH5x1FtXy7u/3PweBBYK1Pe22bcB555GFuW8fWVodHSIQsoiaGrpNNMzI7xAjprKSok3uvx/o7yfXh5NAAMhbYBcI3DqAw4pGQv4BYw0bswoEDreKFqHT3ZdLPRA6O0kgGGVHua1JIXqwbZtCe3N/VA9CSntKKEVNzl59lRpaxCsQNm4kEWItoSoIgiCkBREIfsICwZro62cVo85OqpxUWEhj6eykFcQPfpCWDE84gbwaXV0UqyICIWuwJ7W2twOPx5HS1NNDtpc1rMcvrr6adrvly8l6bWw0BY8VFgicoFxeTn+AKRBGQv4BE0sgWCs62enpVdRFuaWF8p4Op6p53F/hK/gpAGBNy5SoHoSUd6XOzTVLoq5fH97YIhYbN1L4Y9Y1uhAEQcg+RCD4yebNdDG25h34FWJUUkJLjkNDVFweAN54g6qLbN8OPPYYcOyxlDjNTZREIGQNdoFw5500tStWeHt9dzdpyETyF5LlnHPI0F+xYhx6emj3c/MgdHZStUyuYMSccgrtrmec4c+Y/aC6mvogDA2F5yB4EQjd3UBRqA947jnyDJ5yCgDgyCOB4+YcwH8aDTkb+o7wz4NgZf58yofyWpv3+eeBJ5+UEsuCIAg+IQLBT959l5oIcVwE4K8Hocvo5v3BD9LtJZcAr7xCpQdPPpnG0tVldmcSgZA1sEHN9hZHkN1zj7fXs0DIBLm51OugsbFweNdzEwgA6dnt28MFwmGHkb050kKMBgfJCWD1INTUkKcnlkAozj0EbNlCVv6yZQCAb38beP2361GDfZhQ1oMG1JlxRxbS5kFgOJPcS5jRm29SCOTs2cAvf5mmAQmCIAhWRCD4yebNFD9bXGx6DvzMQWCWLCHro6MD+OMfgcsuCx/L1q10KwIha6ioIKORPQjcS+CBB2gBORY9PZlN7q2tJYHA448lEOwehJGI1StkFQihEK0xcEE0J3p6gOLcPrqzdGlYV3RVUQ4FoG78HhIImfIgAN4EwmOPAYcOAf/6lxkjJQiCIKQVEQh+oTX1IJgyhe6zdeOnB4GprgZ+9zvqivyJT5iP88VXBELWoZQZs37wIDmrTjmFwnX+9jfnjsVDQ8DAAP0dPJg5DwJgCgRu0+EkEGbMoNsVK2iFnO+PVKyJ51aBAIQnbDvR3Q0U5RmTftZZ4U8ax3VdwdvYgPnoG5MBD8KECXS+Wb8+9rbNzeTl8CscUxAEQRCB4Bc53d101eXVutpaCiouLPRnAFYPwsSJwIc+FNkHgcXKli10KwIhq6ipoTSTtWtJj37xi8C0acDll1PlyQcfNLft7aXn8vLo75FHqAVGppgxA+jvDw33Q3ASCJyU/JOfmK8ZyfBvsHUreQSsAsFa8tWJ7m6gOH+A7ti7nxuZ3Us2/Rl9KMCmnAXQmmoU/PrXtElCZU7jZcECbx6E5mbxHAiCIPiMNErzidzOTvqHBcJ11wHHHeffAHh5uLTU3RIUgZDVnHEG8OMfA//8J90/8kgSBc8/D9x9N/Ud4GiyHTuAPXuouS2Hg3P/qkzADrXXXydviJtj7f77qYVHSUnkwvhIgwXCb35Dt0YaAQD6vZqa3HNHenqA4sIhOoaPPjr8ydJSIBRCHdYAGmjYOwETGum3HzuWGtgl1CgtXubPp/ynAwcoRm5oCPjud4HXXqOdmNWJCARBEATfEYHgE3l2gXD66fTnF+xBcFqaZUQgZDVXXQXccgvw05+SvTV1KnkJli4lD8KNN1Lo0Zw5Zvz6f/0XcOKJmR03YAqE5ctpN8x1OTN96EP0NxooLaXDdt06SsI+6STzOWsvBKfGwt3dQNExRwD//VjkjxkKAZ/5DGafcDKKr6V8FT70OXfFFw/C1VdTua1Pfxq4/XbaGR96iJ7buJF6JQAkEKT3gSAIgq9IiJFP5HKLW4eEQF/gZUanAvNMeTlZBPv20W0mg9KFuJk7l8RAdzfloVtLll5xBU0pdyzm8JSgJPpyYa+OjugadrTBv8XVV4fPpzVh24nubqB4UkW428HKbbch5/LLsGgRiQIWBo2N9OeLB+Hoo4Ef/AD4618pN+vhh8l9AZAXgdm/XzwIgiAIPiMCwSciPAh+48WDEAqZJQ/Hjs1MUXwhKT75Sbq1NwyrqQHOPZeKVg0OkkDIz4+uF/2kpAQoL6eqO0EZUxCorqbD8Morwx+P1Quhp8ebvq+rI3GwerV5uDc0+JCkzHz5y8CnPkUllzdsAH71K3JnvP46Pa+1hBgJgiBkABEIPhEYD0Ks5VmONZDwoqzk0kuB448Hzj/f+bk9e8gO27GDVu3TbgDGQXV1r3Gb4YEEiA99CLj2WgoVs1JdTaLq7bcjXzM05L1sbV0d9Y949lkz4rGhgd4jFPJhjSAUogSZ++6jWCmlyA3GHoT2dlIrIhAEQRB8RXIQfGLYg1BRkZkBePEgAOaFWARCVlJWZi6+2uFc1TVrgtlHoLq6F2+/XSYCwcJNNzk/HgoBixZhuOqTFe574cWDwI3lOjooSX3bNvImHHZYBsXj0qXAE0+Q56CtjR4TgSAIguArAVo/HNnkdnbSkl6mulGJB2HUM2cO7X4NDZGdiIOAeBDig8ODOF+A6emhWy8CYcECUwgsWRL+nmlNUI7GCSfQ7RtvkEgARCAIgiD4jAgEn8jr6MhceBFA7vvLL49dG1IEwoglJ4cKw7zyCuV9ikDIbpYsoZX/HTuAvj7Tc9DdTbde1iKKiym5HSBxUFdHDd87OjLoQTj6aKq89NprIhAEQRAyhAgEn8jt6spceBFA1sL991Pty2iwQLB2ZRJGDHV11IkYCJ5AmDqVLFuuaCREhxPRGxqAa64x+x6yQPBahOyYY0iUTZ5MvTO0Jts8Yx6E4mJSsqtWiUAQBEHIECIQfCLjHgSvSA7CiIZjzoHgdSJesqQNL79MSdZCbBYsICP+X/+i9gENDWTcxxNiBFBn6hdeoPzg006jBu9r1mQ4gX3BAuqFIAJBEAQhI4hA8Inczs7sEAgSYjSisZY/DZoHQSlqBibVdb1RVAQcfjjw298C/f3AwYNAS0t8IUYAMGGC2WytpIQqjgIZ9CAAwLx5VHJr61aqx+vW/V0QBEFICyIQfCJrPAgiEEY0CxeSAV5QAEycmOnRCMlSVwcMDJjNknfsiD/EyA730sioB2HePLp9+WXyHohqFARB8BURCD4hHgQhCJSUUFJq0HogCInBHiE26rdvjz/EyM4JJwCzZ2fYgzB/Pt1u2CDhRYIgCBkgbSaCUqpQKbVCKbVGKbVBKfVd4/EZSqnlSqktSqmHlFL5xuMFxv0txvO1lve6yXj8HaXUOZbHzzUe26KU+lq6vkvS9PQg59Ch7BAIc+cCl10GnHFGpkcipIkvfAH47GczPQohFXzkI8BFFwH/8z90f8cOYOdO+j/RalBKAbfcQg2OM0ZtLVBYSP/zooUgCILgG+lslHYIwOla6y6lVB6AV5RSTwP4EoBbtdYPKqXuAHANgNuN2wNa61lKqcsA/AjApUqpeQAuAzAfwCQA/1JKzTE+4zYAZwHYDWClUuoJrfXGNH6nxDhwgG6zQSAUFAAPPJDpUQhp5LrrMj0CIVXMnAk88gj9X1FBAuHQIVp0nzQp8fe96CL6yxg5OZRg0dAgHgRBEIQMkDYPgia6jLt5xp8GcDoA45KGewFcaPx/gXEfxvNnKKWU8fiDWutDWuvtALYAONb426K13qa17gPwoLFt8GhtpdtsEAiCIGQltbUkEBoaKPQo68P2OcxIBIIgCILvpNODAKVUDoA3AcwCrfZvBdCmtR4wNtkNYLLx/2QA7wGA1npAKdUOoNJ4/A3L21pf857t8eNcxnEtgGsBIDc3F/X19Ul9r3gZu3YtlgBYs2sXDvj82UIkXV1dvu8DQmxkXpKjtHQ+1q4twfvvF+IjH9mN+vptKXnfTM3LtMJCzASwo6sLO2S/cEWOm2Ai8xJMZF68k1aBoLUeBFCnlCoH8CiAw9P5eVHGcReAuwCgpKREL1u2zN8BtLcDABafdhp1IhIySn19PXzfB4SYyLwkxzHHUNEfADj//GlYtmxaSt43Y/PS1gbcfTdqjz4atbJfuCLHTTCReQkmMi/e8aWOida6DcCLAJYCKFdKsTCZAmCP8f8eAFMBwHh+LIAW6+O217g9HjwkxEgQhDRj7Wth7XeRtRx1FPVAmDs30yMRBEEYdaSzitF4w3MApVQRKJl4E0gofNTY7CoAjxv/P2Hch/H8C1prbTx+mVHlaAaA2QBWAFgJYLZRFSkflMj8RLq+T1KIQBAEIc2wQCgsBObMibppdjB1KtDUBJx5ZqZHIgiCMOpIZ4hRDYB7jTyEEICHtdb/UEptBPCgUur7AFYDuNvY/m4A9ymltgBoBRn80FpvUEo9DGAjgAEAnzNCl6CU+jyAZwDkAPi91npDGr9P4rS2QodCUGPGZHokgiCMUFggLFpkNk7LeqQfiyAIQkZI22VEa70WwBKHx7eBKhDZH+8FcLHLe90M4GaHx58C8FTSg003ra3oLytDftaXFREEIahMn063IyK8SBAEQcgoI2WdKdgsXoz9e/cOl14SBEFINWVlwI9/DJx9dqZHIgiCIGQ7IhD84DOfwebDDxeBIAhCWrnhhkyPQBAEQRgJ+FLFSBAEQRAEQRCE7EAEgiAIgiAIgiAIw4hAEARBEARBEARhGBEIgiAIgiAIguAzSqmpSqkXlVIblVIblFLXG4+PU0o9p5TabNxW+D02EQiCIAiCIAiC4D8DAL6stZ4H4HgAn1NKzQPwNQDPa61nA3jeuO8rIhAEQRAEQRAEwWe01vu01m8Z/3cC2ARgMoALANxrbHYvgAv9HpsIBEEQBEEQBEHIIEqpWlCD4eUAJmqt9xlPNQKY6Pd4pA+CIAiCIAiCIKSeXKXUKsv9u7TWd9k3UkqVAvgrgC9orTuUUsPPaa21Ukqnf6jhiEAQBEEQBEEQhNQzoLU+OtoGSqk8kDj4k9b6b8bD7yularTW+5RSNQCa0j1QOxJiJAiCIAiCIAg+o8hVcDeATVrrn1ueegLAVcb/VwF43O+xiQdBEARBEARBEPznRABXAFinlGowHvs6gB8CeFgpdQ2AnQAu8XtgIhAEQRAEQRAEwWe01q8AUC5Pn+HnWOxIiJEgCIIgCIIgCMOIQBAEQRAEQRAEYRgRCIIgCIIgCIIgDKO09r20akZRSg0B6MnAR+eCWmoLmUfmIpjIvAQTmZdgI/MTTGRegonf81Kktc7KxfhRJxAyhVJqVaxauII/yFwEE5mXYCLzEmxkfoKJzEswkXnxTlaqGkEQBEEQBEEQ0oMIBEEQBEEQBEEQhhGB4B93ZXoAwjAyF8FE5iWYyLwEG5mfYCLzEkxkXjwiOQiCIAiCIAiCIAwjHgRBEARBEARBEIYRgSAIgiAIgiAIwjAiEARBEISUoJSSa4ogCMIIQE7mghADpZTK9BgEQilVkukxCJEopeqUUtVa66FMj0WIjpzPBEHwggiEgKCUqs70GARCKXWyUuq/lFIXKqWqtGTyBwKl1IcB/FQpVZTpsQgmSqmzAfwdwCeM+3JdCRBKqROUUp9USi1VSk3QWmuZo8yjlKqVc1nwEFvMRE4SAUApdSGAvUqpqzM8lFGPUuoDAH4NYAqASwGcbXlOVt4yhFLqXADfA/Cw1rrH9pzMS4YwxMEPATwL4EgA0FoPyZwEA0NU3wlgNoBzAdytlJphzJFc/zOEUup8ANsA/KdSakymxyMQYouFIyeIDKOUmgTgCgC/AHCDUuqKzI5o9KKUWgjgWwD+U2t9I4CNAKYqpSYrpcbJyltmUErNBvBTAL/XWr+olBqnlDpTKXWcZUVUDFKfUUqdCOA2ANdqra8BMEsp9U0AEK9b5jHOVR8GcL3W+usAfg9gLIA/KaUOk3CwzKCUqgRwAYCfAFgG4GqlVGlGByWILeZAbqYHIKANwG1a6xeUUqeBVnigtb4vw+MajewG8Hmt9ZtKqSoAVwPYBGAqgAlKqS9qrfdkcoCjlBYALwMoUkpdAOAmADsBDAHIUUpdr7Xel8kBjlK2ALhUa/2Wcf97AD6glCrXWrdlbliCQQhADYClAF7QWu9USr0GEgnfUUp9Rmt9MKMjHJ10ALhda71KKXU0gB8D0EqpP2qtO3gjpVRIRJyvtEFssTBkNTRDKKWqjaS+bq31CwCgtX4RwKcAfFcpdaWx3SmGsSqkCctcHNBav2k8fDKA72mtPwzgFgDtAJZkbJCjEGNearTWrSBRMAnADwDco7W+FMBXQfNSl7lRjj4s8/K+RRwAwAYAx4JCWYQMYczPRK31AICvAbhMKfVrpdRvABwB8sZpAIWZHOdoRWvdD+At4/9VAG4E8BEAVwEU5mocXyIOfEBsMXfEg5ABlFIXAfgCgDyl1KMAGrTWzwCA1rpeKXUNgNuMuOt5IDexkAZsc/E3AGu01s9orR/lbbTWe4wQlooMDXPUYZuXJwA8D7qQPq21fhYAtNbvKaVyAIzL2EBHGQ7HS4NlPrYrpX4E4L+UUq9prXdlcKijEofj5kVQHtXHAPSBPKRDSqkykGe0JVNjHU0YuW0f0Fr/Nz9kPB7SWq9USt0I4JvGynUdgDMzM9LRhdhi0VESKuovRvzhv0DqtB/AWQDmAnhRa/2QZbtfg5JkT9dar8vEWEc6UebiJa31A5btLgLwPwAu0lpvy8RYRxMu8zIfwD+01o9ZtvsogG9A5sUXohwv9VrrB41txgO4A8CvjVU4wSds8zMAMjLnA3hUa/2kZbsrQd63M7TW72dirKMJpdQJAB4BsBfA21prrvaVo7UeVEopI4/q56BKYKdrrddncMijArHFYiMeBP/JAcUgbtdatymlWkAn8mVKqf1G/NsRAGYCOHO07ZA+4zYXpyil3jfm4loAXwTwUTFCfcNtXs5RSnUY8/IJUPjEpTIvvuE2L6cqpZq01i9orfcbce4yJ/5jn59m0Pycp5TqMY6bM0GJmB8XceAbJQC+A+BeAPcrpf6stf64IQ5YJEwGMBnA2SIOfENssRiIByEDKKV+CTppXK+1Pmhkz18JoE9r/XOlVDGAAq31gYwOdBTgYS6qARSLEeovHuZlAoASrfX2jA50lBFrXjI7OsHDcVMGoEjEgb8opcq01h1KqXEgD9ug1vpjxnPjtNatSqkSSRr3F7HFoiNJyj6izBKZt4GU643GSWEvgGcAXKCUqjSSZUblDukXHueiSmvdKOLAP+KYlyYRB/7hcV4kRydDxHFt6RBx4D9cncgouPBZALlKqTsU1du/QSmVL+LAP8QW84YIBB+xVCXYCuBvAIoA3GFkxs8BxY32Z2h4owqPc9GXoeGNWmRegonHeRnM0PBGPXJtyR601s1a64sBnAbgVgAPaK3lnOYDRrEROV48IiFGPsBxhtb/lVJTQNVXrgJlx48DNeh6K8pbCUkicxFMZF6CicxLsJH5CSa2eQkZlaNqAHRprTsVdez9OYDztNYbMjnW0YBSqhwUNtRteSxXaz0gx4s7IhDShFLqbABHaa1vMe4PNz0xSpl9FsCXtda7lFJjAQyIizE9yFwEE5mXYCLzEmxkfoJJjHk5FcD1oHnZrpT6IICtWut3Mjfi0YFS6jwA1wEYA+BOAH8HCTUtx0t0pIpRGlBKnQLgfgCtRhzbV4wVhBxQF8sfAviRNuqEa63bMzjcEY3MRTCReQkmMi/BRuYnmHiYlx+D5mU7AGitn8rgcEcNSqmzQI1OrwYwA8AnQcJsuaIyp3K8REE8CGlAKfUxAKWg2LaHQc03vmx5vkZrvU9JK/W0I3MRTGRegonMS7CR+Qkm8cwLAK3F8Eo7hjj7FqiM6R+Mx74GoEpr/RXjvhwvURCBkCaUUuM11QSvBfA7AOu11l8wnivXWrdlcHijCpmLYCLzEkxkXoKNzE8wkXkJHorKyioArcZDV4B6GlxpPF+ote7N1PiCjgiEFKGUOhHARACFWus/G49xh8SZAO4C8G8AGwEcBuDnWutRnyWfDmQugonMSzCReQk2Mj/BROYlmFjmJVdr/bDxGM/LcQCu1VpfY3h98gD8SRsJ5UI4IhBSgJFw9BMAD4Facj+ptf6qbZt8ANsBFAM4RY/Crnx+IHMRTGRegonMS7CR+QkmMi/BJNa8KKWOBiUsvwrgRgD/obV+OxNjzQq01vKXxB+A2QBWATjJuF8L4HEA42EIMOPxjwLYAWB+psc8Uv9kLoL5J/MSzD+Zl2D/yfwE80/mJZh/MeYlBAo1WgygE8BrAA7P9JiD/ieN0lLDj7XWrxhJMZ0AJgCYoLXWSlFjDlAC0we01DxONzIXwUTmJZjIvAQbmZ9gIvMSTNzmZUiTangXwMsArtPiOYiJlDlNEKXUNAD7AOzQWm82Hh7SWrcopbYC4IYci0EVDf6QgWGOCmQugonMSzCReQk2Mj/BROYlmHidF6VUnda6QSn1H1rrQ5kabzYhHoQEUEp9CMBTAH4D4H6l1OHGUyy4xgEoUUp9AsBflFITLKsKQgqRuQgmMi/BROYl2Mj8BBOZl2AS57w8YlSaEnHgEfEgxIFxwE8BNdf4PIBNAD4B4EWl1JkWV2IjgO8AqAZwoda6KQPDHdHIXAQTmZdgIvMSbGR+gonMSzBJcF4u0Frvz8BwsxYRCHFgxBfuBfA6gM0AmrTWP1NKDQB4Vil1uqbW6QcAnALgwxLnlh5kLoKJzEswkXkJNjI/wUTmJZjIvPiDhBh5RCk1Syl1DIByUOv0y42kF2itfwnglwC+biTH/AvA2bJDpgeZi2Ai8xJMZF6CjcxPMJF5CSYyL/4hHgQPKKU+DOAHIDW6DsCfAPxKKZWjtb7F2OxhAN/Q1HDj6cyMdOQjcxFMZF6CicxLsJH5CSYyL8FE5sVfRCDEQCl1Aqjxxse11quVUncBOBbACQDeMFTqgwBOArBEKTVOa93q/o5CoshcBBOZl2Ai8xJsZH6CicxLMJF58R/ppBwDY6ecwyXLlFLjAfxBa/0hRe3U/wdAL4DjAFytpVti2pC5CCYyL8FE5iXYyPwEE5mXYCLz4j8iEGJgqNISrXWH8X8NgL8D+KDWep9SajqAPcY27Zkc60hH5iKYyLwEE5mXYCPzE0xkXoKJzIv/SJJyDLTWg1rrDuOuAtAGoNXYIT8B4OsA8mSHTD8yF8FE5iWYyLwEG5mfYCLzEkxkXvxHPAgJoJT6A6hz39kQV1ZGkbkIJjIvwUTmJdjI/AQTmZdgIvOSXkQgxIFSSgHIAzXlyANwhjZbews+InMRTGRegonMS7CR+QkmMi/BRObFH0QgJIBS6moAK7XZrU/IEDIXwUTmJZjIvAQbmZ9gIvMSTGRe0osIhARQSiktP1wgkLkIJjIvwUTmJdjI/AQTmZdgIvOSXkQgCIIgCIIgCIIwjFQxEgRBEARBEARhGBEIgiAIgiAIgiAMIwJBEARBEARBEIRhRCAIgiAIgiAIgjCMCARBEARBEARBEIYRgSAIgiAIgiAIwjD/H1Nk8bqE5RxWAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 864x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot BTC price vs Google trends\n",
    "fig, ax = plt.subplots(figsize=(12,7))\n",
    "plt.plot(btc_metrics['PriceUSD'], label ='BTC Price', color='r')\n",
    "ax.set_ylabel('BTC Price ($)')\n",
    "plt.xticks(rotation=45)\n",
    "ax.legend(loc='upper left')\n",
    "plt.grid()\n",
    "\n",
    "ax2 = ax.twinx()\n",
    "plt.plot(btc_trends['bitcoin'], label='BTC Google Trends', color='b')\n",
    "ax.set_title('BTC Price vs Google Trends')\n",
    "ax2.set_ylabel('BTC Google Trends') \n",
    "ax2.legend(loc='upper right')"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "1d1365bc7bea9ca53bbaaff2a498c5cc15b63a6fcc47bade387e2edfe7e7b068"
  },
  "kernelspec": {
   "display_name": "Python 3.7.9 64-bit ('algotrading': conda)",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}