covid19_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# COVID-19 : Exploratory Data Analysis and Exponential Modeling to Predicton of Cases in India"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook contains an exploratory data analysis of the growth of cases of COVID-19 in India, and trying to fit the growth model to an exponential growth curve.\n",
    "\n",
    "The dataset comes from: https://github.com/covid19india/api/blob/master/data.json\n",
    "\n",
    "Thanks to the work of Guillaume Raille for creation of the Growth Modeling API and laying a foundation to analysis of COVID-19 growth data in Switzerland. The original work can be found here: https://github.com/grll/covid19-cases-prediction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Retrieve the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Imports\n",
    "\n",
    "import csv\n",
    "import json\n",
    "import urllib.request\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the URL\n",
    "\n",
    "url = \"https://raw.githubusercontent.com/covid19india/api/master/data.json\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Write the data in a new CSV file named 'data.csv' and amend the format of dates\n",
    "# Thanks to my great friend Sahil Gupte (https://github.com/Ovenoboyo) for helping me out with csv and json\n",
    "\n",
    "with urllib.request.urlopen(url) as f:\n",
    "    data = json.loads(f.read())['cases_time_series']\n",
    "    writer = csv.writer(open('data.csv', 'w+'))\n",
    "    writer.writerow(list(data[0].keys()))\n",
    "    for items in data:\n",
    "        write_list = []\n",
    "        for key,value in items.items():\n",
    "            if key == \"date\":\n",
    "                d = datetime.strptime(\"2020 \" + value, '%Y %d %B ')\n",
    "                write_list.append(d.strftime(\"%Y-%m-%d\"))\n",
    "            else :\n",
    "                write_list.append(value)\n",
    "        writer.writerow(write_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Imports\n",
    "\n",
    "from datetime import date, timedelta\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dailyconfirmed</th>\n",
       "      <th>dailydeceased</th>\n",
       "      <th>dailyrecovered</th>\n",
       "      <th>totalconfirmed</th>\n",
       "      <th>totaldeceased</th>\n",
       "      <th>totalrecovered</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</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",
       "      <td>2020-01-30</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-01-31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-02-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-02-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-02-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            dailyconfirmed  dailydeceased  dailyrecovered  totalconfirmed  \\\n",
       "date                                                                        \n",
       "2020-01-30               1              0               0               1   \n",
       "2020-01-31               0              0               0               1   \n",
       "2020-02-01               0              0               0               1   \n",
       "2020-02-02               1              0               0               2   \n",
       "2020-02-03               1              0               0               3   \n",
       "\n",
       "            totaldeceased  totalrecovered  \n",
       "date                                       \n",
       "2020-01-30              0               0  \n",
       "2020-01-31              0               0  \n",
       "2020-02-01              0               0  \n",
       "2020-02-02              0               0  \n",
       "2020-02-03              0               0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Retrieve the cases from file\n",
    "\n",
    "covid19_cases = pd.read_csv('data.csv', parse_dates=['date'], index_col='date')\n",
    "covid19_cases.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check if the index is_unique\n",
    "\n",
    "covid19_cases.index.is_unique"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(71, 6)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the dimensionality of the data\n",
    "\n",
    "covid19_cases.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dailyconfirmed</th>\n",
       "      <th>dailydeceased</th>\n",
       "      <th>dailyrecovered</th>\n",
       "      <th>totalconfirmed</th>\n",
       "      <th>totaldeceased</th>\n",
       "      <th>totalrecovered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>71.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>94.774648</td>\n",
       "      <td>3.225352</td>\n",
       "      <td>8.943662</td>\n",
       "      <td>695.676056</td>\n",
       "      <td>19.535211</td>\n",
       "      <td>59.450704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>191.665646</td>\n",
       "      <td>7.784962</td>\n",
       "      <td>20.148653</td>\n",
       "      <td>1508.590854</td>\n",
       "      <td>46.434849</td>\n",
       "      <td>132.504532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>73.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>24.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>813.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>6729.000000</td>\n",
       "      <td>229.000000</td>\n",
       "      <td>635.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dailyconfirmed  dailydeceased  dailyrecovered  totalconfirmed  \\\n",
       "count       71.000000      71.000000       71.000000       71.000000   \n",
       "mean        94.774648       3.225352        8.943662      695.676056   \n",
       "std        191.665646       7.784962       20.148653     1508.590854   \n",
       "min          0.000000       0.000000        0.000000        1.000000   \n",
       "25%          0.000000       0.000000        0.000000        3.000000   \n",
       "50%          2.000000       0.000000        0.000000       30.000000   \n",
       "75%         73.500000       1.000000        4.000000      450.000000   \n",
       "max        813.000000      46.000000       96.000000     6729.000000   \n",
       "\n",
       "       totaldeceased  totalrecovered  \n",
       "count      71.000000       71.000000  \n",
       "mean       19.535211       59.450704  \n",
       "std        46.434849      132.504532  \n",
       "min         0.000000        0.000000  \n",
       "25%         0.000000        2.000000  \n",
       "50%         0.000000        3.000000  \n",
       "75%         8.000000       24.000000  \n",
       "max       229.000000      635.000000  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show basic statistics\n",
    "\n",
    "covid19_cases.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**The following observations can be made :**\n",
    "\n",
    "- The dataset consists of various columns and the column 'totalconfirmed' is a cumulative count of confirmed cases\n",
    "- The count is given per day, where each row corrosponds to a single day\n",
    "- The data starts with the first assumed case on 2020-01-30 and continues till date\n",
    "\n",
    "- **The data seemes to be increasing very slowly upto the 75th percentile, and rapidly thereafter; this increase should roughly correspond to the events related to the Tablighi Jamaat in New Delhi, which led to a sudden explosion in the number of cases all over the country**\n",
    "\n",
    "### NOTE : We can expect that the sudden rise in numbers could lead to an uneven graph, which can then lead to inaccurate predctions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the daily cases as a histogram\n",
    "\n",
    "fig = plt.figure(figsize=[30,15])\n",
    "ax = plt.subplot(111)\n",
    "\n",
    "ax.stem(covid19_cases.dailyconfirmed.index, covid19_cases.dailyconfirmed.values, label='dailyconfirmed', use_line_collection=True)\n",
    "\n",
    "plt.title('new cases per day')\n",
    "ax.legend()\n",
    "plt.xticks(covid19_cases['dailyconfirmed'].index, rotation=90)\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d'))\n",
    "plt.grid(True)\n",
    "\n",
    "plt.rc('font', size=20)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**The following obsetvations can be made :**\n",
    "\n",
    "- The graph is almost asymptotic to the x-axis in linear scale upto around 60% of its span\n",
    "- We can conclude that the major rise happened at around 60% of the span of this graph\n",
    "- Due to this 'uneven' curve, any growth model can't be fit because it would be feeding on irrelevant data\n",
    "\n",
    "### Let us now cut down our data to be from 01-03-2020, from where the actual significant increase began"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Write the data in a new CSV file named 'data_new.csv'\n",
    "# We would only be considering the cases from 01-03-2020 onwards\n",
    "\n",
    "with urllib.request.urlopen(url) as f:\n",
    "    data = json.loads(f.read())['cases_time_series']\n",
    "    writer = csv.writer(open('data_new.csv', 'w+'))\n",
    "    writer.writerow(list(data[0].keys()))\n",
    "    for i, items in enumerate(data):\n",
    "        if i not in range(31):\n",
    "            write_list = []\n",
    "            for key,value in items.items():\n",
    "                if key == \"date\":\n",
    "                    d = datetime.strptime(\"2020 \" + value, '%Y %d %B ')\n",
    "                    write_list.append(d.strftime(\"%Y-%m-%d\"))\n",
    "                else :\n",
    "                    write_list.append(value)\n",
    "            writer.writerow(write_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# extract cases data from file\n",
    "path = 'data_new.csv'\n",
    "covid19_cases_new = pd.read_csv(path, parse_dates=['date'], index_col='date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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h/wPAO6Qntnm1NQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 2160x2160 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the cases on a linear and semi-logarithmic graph\n",
    "data_conf = covid19_cases_new['totalconfirmed']\n",
    "\n",
    "fig = plt.figure(figsize=[30,30])\n",
    "\n",
    "ax = plt.subplot(211)\n",
    "ax.plot(data_conf.index, data_conf.values, marker='x', label='# of positive cases in totalconfirmed')\n",
    "ax.legend()\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d'))\n",
    "plt.xticks(data_conf.index, rotation=90)\n",
    "plt.title('# of positive cases in totalconfirmed (linear scale)')\n",
    "plt.grid(True)\n",
    "\n",
    "\n",
    "ax2 = plt.subplot(212)\n",
    "ax2.semilogy(data_conf.index, data_conf.values, marker='x', label='# of positive cases in totalconfirmed')\n",
    "ax2.semilogy(data_conf.index,[1.19 ** i for i in range(1,len(data_conf.index) + 1)], ls='--', c='grey', label='growth rate of R=1.19')\n",
    "ax2.legend()\n",
    "ax2.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d'))\n",
    "plt.xticks(data_conf.index, rotation=90)\n",
    "plt.title('# of positive cases in totalconfirmed (semi-log scale)')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.rc('font', size=20)\n",
    "           \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**The following observations can be made :\"\n",
    "\n",
    "- The trend seems to follow an exponential growth on the linear scale\n",
    "- And thus, it follows a more or less 'linear' growth on the exponential scale"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exponential Modeling Approach to Cases Prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Imports\n",
    "\n",
    "from datetime import timedelta\n",
    "from math import sqrt\n",
    "\n",
    "import pandas as pd\n",
    "from scipy.stats import poisson\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "# Import created Packages by github.com/grll\n",
    "\n",
    "from growth_modeling import ExponentialGrowth\n",
    "from growth_modeling import ExponentialGeneralizedGrowth\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>date</th>\n",
       "      <th>cumulative_cases</th>\n",
       "      <th>t</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2020-03-03</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>28</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2020-03-05</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date  cumulative_cases  t\n",
       "0 2020-03-01                 3  0\n",
       "1 2020-03-02                 5  1\n",
       "2 2020-03-03                 6  2\n",
       "3 2020-03-04                28  3\n",
       "4 2020-03-05                30  4"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dataframe with only the cumulative count of cases (totalconfirmed)\n",
    "conf_df = covid19_cases_new[['totalconfirmed']].reset_index()\n",
    "conf_df.rename({'totalconfirmed': 'cumulative_cases'}, axis=1, inplace=True)\n",
    "\n",
    "# Create time column in days\n",
    "starting_date = conf_df.date.iloc[0]\n",
    "conf_df['t'] = conf_df.date.apply(lambda date: (date - starting_date).days)\n",
    "\n",
    "# print head to visualise data\n",
    "conf_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Helper code 1, or some shit like that\n",
    "\n",
    "def ax_growth_model(data, predictions, fit_up_to=0, subplot=111, asymptote=None):\n",
    "    r\"\"\"create an matplotlib axes object to ease plotting growth models.\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    data : pd.Series\n",
    "        a series with as values the observed cumulative number of cases and as index\n",
    "        the time in days.\n",
    "    predictions : array_like\n",
    "        an array_like object containing predictions `pd.Series` made from a growth models\n",
    "        **warning** the name of the series must be specified and a supplementary attribute\n",
    "        `color` must be set.\n",
    "    fit_up_to : int, optional\n",
    "        the end slice to which the predictions model was fit to.\n",
    "    subplot : int, optional\n",
    "        argument passed to plt.subplot()\n",
    "    asymptote : int, optional\n",
    "        the asymptotic value of the growth model.\n",
    "    \n",
    "    Returns\n",
    "    -------\n",
    "    ax : pyplot.Axes\n",
    "        an axes object with the correspondings plots.\n",
    "    \"\"\"\n",
    "    ax = plt.subplot(subplot)\n",
    "    \n",
    "    days_to_date = lambda x: x.map(lambda item: conf_df.iloc[0].date + timedelta(days=item)).values\n",
    "    \n",
    "    if fit_up_to != 0:\n",
    "        data_fit = data[:fit_up_to]\n",
    "        data_after_fit = data[fit_up_to:]\n",
    "    else:\n",
    "        data_fit = data\n",
    "        data_after_fit = None\n",
    "    \n",
    "    ax.scatter(days_to_date(data_fit.index), data_fit.values, label=\"data used to fit model\", color=\"r\", marker='x')\n",
    "    if data_after_fit is not None:\n",
    "        ax.scatter(days_to_date(data_after_fit.index), data_after_fit.values, label=\"data not used to fit model\", color=\"grey\", marker='x')\n",
    "    \n",
    "    dates_for_axis = conf_df.date.values\n",
    "    for serie in predictions:\n",
    "        d = days_to_date(serie.index)\n",
    "        if max(d) > max(dates_for_axis):\n",
    "            dates_for_axis = d\n",
    "        ax.plot(days_to_date(serie.index), serie.values, label=serie.name, color=serie.color)\n",
    "        \n",
    "     \n",
    "    if asymptote is not None:\n",
    "        ax.hlines(asymptote, dates_for_axis[0], dates_for_axis[-1], color=\"grey\", linestyle=\"--\", label=\"aymptotic value\")\n",
    "    \n",
    "    ax.legend()\n",
    "    ax.set_xlabel('date (month/day)')\n",
    "    ax.set_ylabel('Cumulative Number of Confirmed Cases')\n",
    "    \n",
    "    ax.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d'))\n",
    "    plt.xticks(dates_for_axis, rotation=90)\n",
    "    days_to_date(serie.index)\n",
    "    ax.set_xlim((dates_for_axis[0], dates_for_axis[-1]))\n",
    "    ax.set_ylim((0, 7000))\n",
    "    ax.grid(True)\n",
    "\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Helper code 2, or some shit like that\n",
    "\n",
    "def fit_growth_model(GrowthModel, params, bounds, t, y, name, color, fit_up_to=0, predict_up_to=0):\n",
    "    r\"\"\"Fit a provided GrowthModel and return predicted values series.\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    GrowthModel : Growth\n",
    "        one the Growth class implemented in growth_modeling.\n",
    "    params : dict\n",
    "        a dict of params to initialize the model with\n",
    "    bounds : array_like\n",
    "        bounded for each of the parameter (specified similarly as in scipy.optimize.curve_fit)\n",
    "    t : array_like\n",
    "        time values to fit the growth model on.\n",
    "    y : array_like\n",
    "        response values to fit the growth model on.\n",
    "    name: str\n",
    "        name of the model to fit.\n",
    "    color: str\n",
    "        a matplotlib color to put as attribute of the serie.\n",
    "    fit_up_to : int, optional\n",
    "        the end slice to which the predictions model was fit to.\n",
    "    predict_up_to : int, optional\n",
    "        the number of days to predict up to.\n",
    "    \"\"\"\n",
    "    growth = GrowthModel(params.copy(), bounds)\n",
    "    growth.y_0 = y[0]\n",
    "    \n",
    "    # -- FULL DATASET\n",
    "    growth.fit(t, y)\n",
    "    print(\"[OPTIMISED params (full dataset)]\")\n",
    "    print(growth.params)\n",
    "    \n",
    "    y_pred = growth.compute_y(t)\n",
    "    print(\"R2 SCORE (full dataset): {}\".format(r2_score(y, y_pred)))\n",
    "    \n",
    "    t_predict = np.array(range(predict_up_to)) if predict_up_to != 0 else t\n",
    "    growth_serie = pd.Series(growth.compute_y(t_predict), name=name)\n",
    "    growth_serie.color = color\n",
    "    \n",
    "    # -- REDUCED DATASET\n",
    "    if fit_up_to != 0:\n",
    "        growth.params = params.copy()\n",
    "        growth.fit(t[:fit_up_to], y[:fit_up_to])\n",
    "        print(\"\\n[OPTIMISED params (dataset[:{}])]\".format(fit_up_to))\n",
    "        print(growth.params)\n",
    "    \n",
    "        y_pred = growth.compute_y(t)\n",
    "        print(\"R2 SCORE (full dataset): {}\".format(r2_score(y, y_pred)))\n",
    "        \n",
    "        y_pred = growth.compute_y(t[:fit_up_to])\n",
    "        print(\"R2 SCORE (training dataset): {}\".format(r2_score(y[:fit_up_to], y_pred)))\n",
    "        \n",
    "        y_pred = growth.compute_y(t[fit_up_to:])\n",
    "        print(\"R2 SCORE (testing dataset): {}\".format(r2_score(y[fit_up_to:], y_pred)))\n",
    "    \n",
    "        growth_serie_lim = pd.Series(growth.compute_y(t_predict), name=name)\n",
    "        growth_serie_lim.color = color\n",
    "        \n",
    "        return (growth_serie, growth_serie_lim)\n",
    "    \n",
    "    return (growth_serie,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Fitting Exponential Growth\n",
    "\n",
    "**Simple Exponential Model** can be written as :\n",
    "\n",
    "$\\frac{\\partial y}{\\partial t} = ay \\Leftrightarrow y = y_0 e^{at}$\n",
    "\n",
    "where :\n",
    "\n",
    "- $y$ is the observed response (number of cumulative cases)\n",
    "- $t$ is time step (in days)\n",
    "- $a$ is the growth rate (relative derivative increase compared to the number of total cases)\n",
    "- $y_0$ is the observed response at t=0\n",
    "\n",
    "**Generalised Exponential Model** can be written as :\n",
    "\n",
    "$\\frac{\\partial y}{\\partial t} = ay^p \\Leftrightarrow y = [(1 - p)at + y_0^{1-p}]^{\\frac{1}{1-p}}$\n",
    "\n",
    "where all the parameters are identical and :\n",
    "\n",
    "- $p$ is a parameter allowing sub-exponential regime ($0<p<1$)\n",
    "\n",
    "This 2 models are now fitted to the whole dataset using non-linear least square optimisation to find the optimal parameters :\n",
    "\n",
    "- for the simple case: $a = \\arg\\min_{a} \\sum_{i=0}^{i=k}{(y_i - y_{exp})^2}$\n",
    "- for the generalized case: $a, p = \\arg\\min_{a,p} \\sum_{i=0}^{i=k}{(y_i - y_{exp})^2}$\n",
    "\n",
    "where :\n",
    "\n",
    "- $k$ is the number of values in the dataset\n",
    "- $y_i$ is the real response value from the dataset\n",
    "- $y_{exp}$ is the predicted value from the model using the closed-form solution above for $y$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[OPTIMISED params (full dataset)]\n",
      "{'a': 0.2017137004475822}\n",
      "R2 SCORE (full dataset): 0.9610057021006266\n",
      "\n",
      "[OPTIMISED params (dataset[:-5])]\n",
      "{'a': 0.21038853388597475}\n",
      "R2 SCORE (full dataset): 0.759078614156992\n",
      "R2 SCORE (training dataset): 0.9899830732167241\n",
      "R2 SCORE (testing dataset): -7.678286445353244\n",
      "\n",
      "[OPTIMISED params (full dataset)]\n",
      "{'a': 0.33828419444788993, 'p': 0.8982132912995909}\n",
      "R2 SCORE (full dataset): 0.9958887679025503\n",
      "\n",
      "[OPTIMISED params (dataset[:-5])]\n",
      "{'a': 0.26234453449775985, 'p': 0.9519118279182713}\n",
      "R2 SCORE (full dataset): 0.9521203305827983\n",
      "R2 SCORE (training dataset): 0.9959182552637195\n",
      "R2 SCORE (testing dataset): -0.7078683473793317\n"
     ]
    }
   ],
   "source": [
    "t = conf_df.t.values\n",
    "y = conf_df.cumulative_cases.values\n",
    "fit_up_to = -5\n",
    "\n",
    "# fit normal exponential\n",
    "params = {\"a\": 0.2}\n",
    "bounds = (0.0, 10.0)\n",
    "exponential_predictions = fit_growth_model(ExponentialGrowth, params, bounds, t, y, \"exponential growth\", 'y', fit_up_to=fit_up_to)\n",
    "\n",
    "print(\"\")\n",
    "\n",
    "# fit generalized exponential\n",
    "params = {\"a\": 0.2, \"p\": 0.5}\n",
    "bounds = (0.0, (10.0, 1.0))\n",
    "exponential_generalized_predictions = fit_growth_model(ExponentialGeneralizedGrowth, params, bounds, t, y, \"generalized exponential growth\", 'g', fit_up_to=fit_up_to)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AAKAdlNaW6uP8j/XPtf/Usi+XqbqxWlFBUbpk4CWaMmiKzks9T6EBofaGtCzJ6dy7R15Ozt499JxOirxj4PG4VFn5uUpLF6i0dIGkrSouDlZ8/BXq0eNGOZ1nyrIcdscEAAA+hDIPAAAAAACgDTS6G/VF4Rf6KP8jfZT/kb4p+kZGRtEB0bpm2DWaMugyje97lgL9Au2Our/MTO8MvZbirmUPPYq8I+Z216m8/OPmAu9tuVy7ZVlBiok5V/X1V+j00+9TQIANMy8BAECnQJkHAAAAAABwDIwxWr97fWt5l701WzVNNfJ3+Ot0d6Km15+mc3/1mKo31ejs8RO8y1k6v/SWZx3NgcUdRd5hNTWVaffu91RaOl9lZR/K46mVn1+UYmMvVlzcZMXEnCd//whlZ2dT5AEAgONCmQcAAAAAAHCEdtfu1idbPmkt8AorCyVJ/WP6a+qIqZqYMlHje5+pyLsf8O47V/+KsidP3n9fun1nwcGn1NcXti6fWVGRI8mtwMBE9egxVXFxk+V0nimHo4PNvAQAAD6PMg8AAAAAAOAQGt2N+mrbV63l3bIdy2RkFBUUpXP6naPfn/F7ndvvXPWN7rv/wJZ957KypKSkvUUey1f6FGOMampyWwu86urlkqTQ0MFKTr5LcXGTFRFxCnvgAQCAdkWZBwAAAAAA0MwYo41lG1vLu0VbF6m6sVp+lp9O63WaMsdnamLKRJ2SeIr8HT/wa5WWfeeysvY+RpHnE4xxq7Lyq9YCr65ukyQpMvI09ev3Z8XFTVZo6ECbUwIAgK6EMg8AAAAAAHRp5XXl+y2d+d2e7yRJKdEpum7YdZqYMlFn9TlLUcFRR/6kxniX1txXRgaFXgfldteromJhc4H3tpqadsqyAuR0TlBS0h2Kjb1UQUEJdscEAABdFGUeAAAAAADoUprcTVqyfUlrebd0x1J5jEeRQZE6u+/Zunvc3Tq337lKiUk5thdoKfJaltZMT/ceW2bpUeh1CC7XHu3e/b5KSxeorOx9ud3V8vOLUEzMhYqLm6zY2Avk738UBS4AAEA7ocwDAAAAAACdmjFG+eX5reXdwi0LVdVYJYfl0Kk9T9X9Z9yviSkTNbrn6B9eOvNIWZbkdO7dIy8nZ+8eek4nRZ6NGhp2qLT0bZWWLlBFxUIZ06SAgO7q1u2nioubrOjoCXI4guyOCQAAsB/KPAAAAAAA0OlU1Fdo4ZaFrQXelootkqQ+zj766Uk/1cSUiZrQd4Kcwc72CZCZ6Z2h11LcteyhR5F3wtXWrldp6QLt2jVfVVVLJEkhIanq1es2xcVNVmTkabIsh80pAQAADo0yDwAAAAAA+I59C7J9zl0el77e/nVrebdk+xJ5jEcRgRGa0HeC7hhzhyamTFRKdIqsE1WoHfg6FHknhDEeVVUtU2npfJWWLlBt7TpJUkTEKerb94+Ki5us0NDBJ+7rAAAA4DhR5gEAAAAAAN+QmSlVVLQuWbm5LF8f/fn/9FFokT4J3qHKhko5LIdGJY7SfT+6TxNTJurUnqcqwC/A3txodx5PoyoqslVaukClpW+psXGHJD85nePVs+evFRt7qYKDk+yOCQAAcEwo8wAAAAAAQIdnPB59V1mgxYue1eL7PtE7UWXakbNDCpN6uyN0ZdqVmphynib0naCYkBi74+KEqFVJyesqLV2g3bvfk9u9Rw5HqGJiLlBc3GTFxl6kgIBou0MCAAAcN8o8AAAAAADQ4bg8Lq3euVqLCxZrceFifV7wubZHbZemSJH1azS0aYjueX+HJo69Xv0feVaWgz3POjtjPKqpWa3y8oUqL/+fpI+1dm2TAgLiFB9/ueLiJis6+hz5+YXYHRUAAKBNUeYBAAAAAADbVTdWa8m2Jfq88HMtLlisL7d9qerGaklSUmSSzuh9hsYlj9O4pLFKSxyhz2beqPFf3yF9NYe96DopY4xqa9epomKRyssXqqIiWy7XbklSSEh/SZM0YsStiooaK8vyszcsAABAO6LMAwAAAAAAJ1xRVZE+L/xcnxd8rsWFi7WiaIXcxi1LloZ1H6brh12vccnjNDZ5rJKjkr2DjJEyMiSzzxNlZHj30KPQ83nGGNXXb1Z5+SJVVCxURcUiNTYWS5KCgpIVF3eJnM4JcjrPUnBwL2VnZ8vpPMPm1AAAAO2PMg8AAAAAALQrY4zWla7bb8nM/PJ8SVKIf4hO7XWq7hl3j8Ymj9XpvU5XVHDUwZ7EW9xlZUnTpknp6d5jVpb3OoWeT6qv39Za3JWXL1RDQ4EkKTCwR2txFx09QcHBfWXx+QUAAF0UZR4AAAAAAGhTDa4GLS9a7i3vChbr88LPVVZXJkmKD43XuORxumXULRqXPE4jeoxQoF/g4Z/UsiSn01vgzZol5eR4j5L3cYoen9DYuFMVFdnNy2YuVF3dJkmSv3+snM7xSk7+nZzOCQoNHUh5BwAA0IwyDwAAAACArs6Y/cuwA88Po6yuTF8UftG6ZObS7UvV4G6QJA2MHajJAyd797tLHqfUmNRjL2kyM/fPZlnMyOvgmprKVFGRo4qKhSovX6Ta2lxJkp9fpJzOM5WY+CtFR5+lsLCTZFkOm9MCAAB0TJR5AAAAAAB0ZZmZUkXF3lluLctZOp3eawcwxmhrxdb9Zt3l7vIWNAGOAKUnpuvW0bdqbPJYjU0aq/iw+LbNe2BxR5HXobhcldqz57PWfe+qq7+VZORwhCoq6kfq0eM6OZ0TFB5+shwOfi0FAABwJPipCQAAAACArsoYb5HXsu/c5Mn770tnjFzGrVU7V+1X3u2o2iFJigqK0pikMfrpST/V2KSxGtVzlEIDQm18QzjR3O5a7dnzRfPMu4WqqlomyS3LClJU1Onq0+dBRUdPUETEKDkcR7CcKgAAAL6HMg8AAAAAgK6qZZlKyVvgJSWp+u9Z+ur2y/T5xU4tfmGivtr2laobqyVJvaN6a3yf8RqX5F0yM61bmhwsjdileDwNqqxc0rzn3SJVVn4lYxplWf6KiBit3r3vkdN5liIjT5efX4jdcQEAADoFyjwAAAAAALool8elvF15Wn7DcC3fIH1U+7jy75bcjvmychZoeI/hmjp8auuSmUlRSXZHxgnm8bhUVbVMFRXeZTP37PlcHk+dJEsREenq1WuanM4JiooaJ3//cLvjAgAAdEqUeQAAAAAAdAFN7iat3bVWy4uWa/mO5VpetFwrd65UvatekhQ+Qkq1gnTvZ9LYkZN12kPPKirEaXNqnHgeVVWtaF42c5H27PlUbneVJCks7CQlJNyk6OizFBV1hgICom3OCgAA0DVQ5gEAAAAA0Mk0uhuVW5K7X3G3aucqNbgbJEkRgREamTBSt5zyS438ZK3Sn/1Q/a+5VZ9NnKLxpQukR7MkV2/vEpyWZfO7QXtyufaoqmqZKiuXqrLyK0kLtXy5t7wLCRmo7t2vkdM5QU7neAUGxtsbFgAAoIuizAMAAAAAwIc1uBq0umS1vin6prW4W12yWo3uRklSVFCURiaM1K2jb9XIhJFKT0xXakzq3r3uvsyUrhnkLe5ycvbuoed0UuR1Mm53vWpqVqqycqmqqr5WVdVS1daua70eEpIqaZwGD75GTud4BQX1tC8sAAAAWlHmAQBOnQqNAAAgAElEQVQAAADgI+pd9Vq1c9V+xd2akjVq8jRJkqKDozUyYaRuO/U2pSema2TCSPWL7re3uDuYzEzJmL3FnWUxI68TMMat2tr1qqz8urW4q65eKWO8XyuBgT0UETFa3bpdo8jI0YqIOEUBATHKzs5W9+7j7Q0PAACA/VDmAQAAAADQAdU11WnlzpVavmO5t7wrWq7cXblyeVySpJiQGKUnpOv2029XemK60hPS1cfZR9axlHAHjqHI8ynGGDU0FDYXdy2z7pbJ7a6WJPn5RSgiYpR69fptc3E3WkFBPY/tawUAAAAnHGUeAAAAAADtYd/Zbgc730dtU62+Lf62dbbdN0XfaO2utXIbtyQpLjRO6Qnpuqj/Ra3FXXJUMmVMF9XUtLt5qUxvcVdZ+bWamkokSZYVqPDwEere/Ybm4m6UQkMHyvqh2ZkAAADo0CjzAAAAAABoa5mZUkXF3v3njJEyMiSnU9X33vG94i6vNE8e45EkdQ/rrvTEdE0aOKm1uOsV2Yvirotyu2tVVfXNPsXdUtXX5zdftRQaOlgxMRe0Fnfh4cPkcATZmhkAAABtizIPAAAAAIC2ZIy3yMvK0h41aOX4QVpx9x+0vPAzLY+M1vo/TZeRkSQlhCcoPTFdVwy5QiMTRio9IV2JEYkUd12Ux+NSbW1u6z53lZVLVVOzRpJ3hmZQUJIiIkYrMfEmRUSMUkREuvz9I+0NDQAAgHZHmQcAAAAAwHGqaqjS2l1rlbsrV7kluco9ZZ1y/xCubY5npJWSQqWeQ8OVPuhHurp5tt3IhJFKiEiwOzpsYoxRff3m/Yq76upv5PHUSZL8/aMVETFacXGXNhd3oxQU1MPm1AAAALADZR4AAAAAAEeoprFm/9Jul/ejYE9B6z3B/sEaHDdY44dPVtqsF2Rd/HNNfeg/6l5Vecg989D5NTQUNy+VubS5wFsql6tMkuRwhCg8fKQSE/+fIiJGKzJytIKD+zFDEwAAAJIo8wAAAAAA+J7aplqtK123X2GXW5KrLRVbWu8J8gvSoLhBGpc8Tmnxad6Pbmnq6+wrP8vh3SNvsZQ9ebC618h7PmsWhV4n5/E0qa5uk2pq1jR/rJb0ub78sqT5Dj+FhQ1VfPyU1uIuNDRNDge/ogEAAMDB8ZMiAAAAAKDLqnfVH7S021y+uXVfu0C/QA2MHahTe52qG0++sbW06xfdT/4HK2CM8RZ3WVnStGlSerr3mJXlvU6h1ykY41F9/dZ9SjvvR23tehnT2HyXQyEhqZKGKiXlYkVGjlZ4+Mny8wu1MzoAAAB8DGUeAAAAAMB3GLN/EXbg+SE0uBq0fvf675V2+eX58hiPJMnf4a8BsQM0MmGkrh9+fWtplxqTevDS7lAsS3I6vQXerFlSTo73KHkfp8jzKcYYNTbu+F5pV1OzVh5Pbet9QUG9FRY2VDExFyosbKjCwoYqNHSQ/PyClZ2draSk8fa9CQAAAPg0yjwAAAAAgG/IzJQqKvYWYy0z4JxO7zVJje5Gbdy98Xt72m3cvVFu45Yk+Vl+6h/bX8O6D9PVQ69WWjfvEpn9Y/sr0C+w7bLuWzRaFjPyfEBj4y7V1OQeMNMuVy5XRes9gYEJCgtLU2LiTfuUdkPk7x9hY3IAAAB0ZpR5AAAAAICOzxhvkde8VKXr0ouVd/sNyv34eeVecqpyX1+r3F252rB7g1welyTJYTmUGpOqtPg0XTH4itbSbkDsAAX5B7V/5gOLO4q8DsPlqvxeaVdTs0ZNTSWt9/j7RyssbKi6dbu6tbQLC0tTQECsjckBAADQFVHmAQAAAAA6JLfHrcLKQm0q26RNZZu08QKHNoX106aKLG347G9yRbmln0iWvla/olKldUvTpIGTNLTbUKXFp2lg3EAF+wfb/TZgI7e7TrW1ed8r7RoaClvvcTjCFBY2VLGxF+9T2g1VYGAPWRSwAAAA6AAo8wAAAAAAtnF73CrYU+At68o27i3uyjZqc/lmNbobW+8N9g9Waq9UDcyXhvc8Qxe8ukhpHyzToPjBCg0ItfFdwG4eT6Pq6jZ+r7Srq8uXZCRJlhWksLDBioo6Y7/SLjg4WZblsPcNAAAAAD+AMg8AAAAA0K5cHpcK9hRo4+79y7pNZZu0uXyzmjxNrfeGBoQqNSZVQ+KH6NIBl6p/bH+lxqQqNSZVieEJcvz2dunVNcoedZHGr1ok/fX5vXvoodNzu2tUV5evurpNkt5Tbu4zzaXdehnjar7LT6GhAxQePkLdu1+7T2mXIoeDX4MAAADA9/BTLAAAAADg/7N352FylWX+/993Ve/dSWeHhJCwJBBARWSRTYioiI6sOv4cl9HRGXdFXGb0Oyq4jTqiDKOi4qg4LoMborgiQkDZZBFcAFmTsCQsIQnZOt1ddf/+eE5Vqqqrujvpeur0ST6v66qruk6drnp3pZPTnbvOORM2XBxm+brl24Z1a+7h3rXh4wfWPlA1sOtt72XRjEU8bc7TOG3JaSyeEQZ2i2cuZm7f3PqHNnSHs84K58w780w49NBwnZxDj/PO0znpdhJDQ+sYGAgDu22XcHtwcFXVuhs27ENv79OYNeuU8tCup2d/crkWnBNRRERERKRFNMwTERERERGRcRkqDJUHdrWHxFy+bjnDxeHyur3tvSyeuZhn7PYMXnrAS8t71y2esZjd+3bgXGRmMG1aGOCddx5cffW2PfKmTdMgL0PcnaGhJ8oDutrL8PCaqvU7OubR3b2IGTNeRHf3Irq796W7e19uueUxjjzyRSl9FSIiIiIiraNhnoiIiIiIyK7OvTwMGywMsnztA9yTDOoqB3fL1y2n4IXyp/V19LF4xmIO2f0QXn7gy8t71y2asYjdenfb/oHdWM45p6oVM+2RN0m5O4ODq6r2qqu8FApPVaxtdHYuoLt7EbNnvywZ2JWGdvuQz/c2eJZlLfhKRERERETSp2GeiIiIiIjILmSwMMiD6x9k5fqVrFi/ghWXXsTKwcdZsWQud666k9XXrKboxfL6UzqmsHjmYg6bdxiveNoryofEXDRjEXN65zR/YDeW2ufTIC817gW2bn2o7uEwt2y5j2Jxc3ldsza6uvamu3tf+vuPrhjYLaKray8dFlNEREREZBQa5omIiIiIiOxE1g+sZ8X6FWFYt27Fto/Xr2DFuhWs3rgax7d9gsHcQVhwz5PsP/cAXr92Pot/9QcWPe/vWfyRLzCrd3brB3YyaRSLQwwMrBixZ104p939uA+W1zXrTPamW8T06c+vGth1di4gl9N/QYiIiIiI7Aj9JC0iIiIiIpIRRS+yeuPqhoO6letXsn7r+qrP6ch3sKB/AQv6F3DSopNY2L+QBf0LWDgtXO85ZT6d73s/fPx8lp37XpZ++r3hvHTn6vCVu4LS+eu2bn2QrVsfBC7n7rt/UDG0WwFsO7RqLtdLd/cienoOYubMU2oGdntglkvtaxERERER2VlpmCciIiIiIjJJDAwPVB8Cc90KVj61bXD34PoHGSoOVX3OtK5pLOhfwF7T9uL4hceXB3Wlod1ufbuRG2vAct55cP751bc1yNspDA8/xdatDzIw8GAysFtZ8XG4FIsDVZ/z6KP99PQsZurUI9htt1fS1bVveWDX0RHhXIgiIiIiIjIqDfNERERERERawN1ZN7BuxJ50K9Zv28Nu9cbVVZ9jGPOmzGNB/wKO2OMI/v7Avw/Duv6F5T3rpnZOnWgYnHVW9bKzztJALwOKxa1s3foQAwMry4O5MKhbWf64UFhf81k5Ojvn0dm5J319hzBz5il0dS2gs3NPOjv35NZbH+bYY0/RwE5EREREZBLRME9ERERERGSCCsUCj29+nEc2PMIjGx5h1YZVPLLhYR7ZsIrbl9/Opjs3sWLdCjYMbqj6vM58Z3lPur9b/HcjBnXzp86nI98RL7w0yDv//HBozUMPDdelvfQ00EuNe4GtW1dVDOlWVu1NNzCwkqGhx0Z8Xnv7LDo796Sra1+mTVtaHtKVBnYdHfPGOHfdRg3yREREREQmGQ3zREREREREGih6kcc3hSHdqo2rysO62tuPbnyUghdGfP7sntn05/o5aPZBPHdlnoWdc1j48jeWh3ZzeuekOzgxg2nTwgDvvPPg6qvDNYTlGupEEc5Tt6ZqD7qRh8B8mMpz1QHk8310doah3KxZzyx/3NW1Z/LxfPL57nS+KBERERERiUbDPBERERER2eUUvciazWvqDuYqb6/euJrh4vCIz5/VM4t5U+Yxb8o8nj7n6eWP502Zx9ze3Zn3ua+y2+e/TsfbX8my005j6aWXwvk/CUOzA146uYZk55wT9tArNZlpj7wJKBQGGBp6lMHB1cnlUeD33HXXNysOgfkQxeKWqs8z66Czcz5dXQuYNu34qr3pSpe2tn7tNSciIiIisgvSME9ERERERLKjcuhU57a7s2bLmuQwl/X3oisN6YaKQyMefmb3zDCQmzKXA2cfyLy+8HHlsG73vt3HPvTl554NPiUcrnLPPbcdxnKyDslqmyZjY4rcCwwOPl4e0FUP66ovw8Pr6jxCjiefnEtXV+V56kpDugV0de1Je/tszHIt/9pERERERGTy0zBPREREREQmvS1DW3j8E/+Pxzes5rE3vYarV1/D9b+7jkd+8X0e6Rxk1Z7TykO7wcLgiM+f3jW9PIxbMmsJc/uqB3Rzp8xl977d6Wrrak5wae+20rnnYPIO8nZR7s7w8LqqPegaDeiGhh4HiiMeI5/vo6Njdzo6dqe392lMn/788u3Ky/XX38nRRz+/9V+kiIiIiIjsFDTMExERERGRlhssDPL4psd5bNNjPL45ua65XfnxxsGNYMBU4P8uDg/yN5jmMK84g3nte3DcwuOqB3TJwG7ulLnNG9KNlzucdVb1srPO0kCvBQqFzeMa0A0OrsZ95ODXrL08hOvqWsDUqUfUHdB1dOxGPt87zqp7mvtFioiIiIjILkXDPBERERGRXd0Yh64cj6HCEE9sfmLEYK5qWFdx3/qt6+s+TluujTm9c5jdM5s5vXNYNGNR+ePZPbOYc/FlzL74Mu5/5/s54/99iu63nQmfnGQDstIgr3RozUMPDdelvfQ00NsuxeIww8NPMjT0BENDa8rXcAP33HPJiAFdobChzqMY7e2zy4O4np4lIwZzpY/b2qbrvHQiIiIiIjKpaJgnIiIiIrIrO+ccWLcuDJigPIganjaVNe99W8O95mqXrx1YW/fh85ZnVs8s5vTOYU7vHA6bdxhzeuYwu3d21dCudLu/s3/0Qcqz/hnOzbE1N4vuYSbnYMwMpk3bdo68q6/e9vpOmzb5eluoWBwqD+SGh9eMGNCF6yeq1ql/Drpg9er+8hCur+9ZdYdzHR27094+m1xOv/6KiIiIiEg26bcZEREREZEYmrC3W3MynE1Dm3hyy5MjL5vX8OTWn7H2/lt48oM/497ZvQxd+RCPdzzJGsA/+7ERj2cYs3pmlYdvB+9+cMWec9WDudk9s5nePZ2c5Zr1xWTn0JXnnFP9Z146h95k65yAYnFrMnSrP4SrN6grFJ5q+Hi5XA/t7bNob59Je/ssurv3KX/c1jaz6r729lnccMMdPOc5L2zhVywiIiIiIpIODfNEREREJDsmyYBsTA32dmPatHDfDih6kfUD60cM5NYOrK0/qKu4DBWHGj5uZ28nMw7pZcYT95Hv2psD//Yks/d9OnOOP405vbuN2INuRvcM8rn8Dn0NE5LFQ1fW9ky2voS7UyhsSPaAu5e1awtj7i0XBnMbGz5mPt9XNYTr7l48YhhXPaibST7fvZ3l903o6xYREREREckKDfNEREREJBtDsggDsijcQ2dpyHTaaVVDqKHhQdZuXcfaLaMM4QZGLlu7ZS2ON3zavo4+ZnTPKF8OmnMQM7pmVC2rvEzvns6M7hl0t3VjALkcy859G0u//14o3j75/vx16MqGKodxO3ZZDxTLj3f77dWPn89PLQ/eOjpm09t7QIO95bZd53KdrX0RREREREREdmIa5omIiIjs6rIwJBtjQNaq4aO7MzA8wPqt61k/sL58/dTWp6qXnQTrew5k/X3ns/z3v8AH7uHJD03hye6vs+ET5zd8fMOY1jWtauC2z/R9Rh3KldbryHfs6BelQ1emzL1IobCxacO4enK5XtrappUvHR3z6Ok5sGpZW9s07r77YQ4++PiKvedmkMvt4PeWiIiIiIiINIWGeSIiIiKxZGFvt0kyJBtTaWgDoW3PPbc1jnOY4+5sHto8YhBX73rEcK7ierRDVpb0dfTRP6uf/vVgPsheG+BpLzxt1IHcjO4Z9Hf2t/YQljp05YS4O8XiVgqFDeXL8PCGEbfhdu6996ctGcbVv/STy7WP62u6++5lTJ++dMKvjYiIiIiIiDSPhnkiIiKSLVkYkEE29naDpgzJYivtDbdxcCMbPvwONl58Pn8uPMDmxfDUG57N+lsurB64NRjCPbX1KQpeGPW5DGNK5xT6O/vp7+qnv7Of3ft2Z/+Z+1ct6+/qZ2rn1BHL+jvD8rzlwp/3Beez7Nx3sPS774XZMybNa1q2Cx660r1Qd+A2vttPjbjPfXhcz7tqVV/VgK2zcw96ew9qOIDL5/t3aBgnIiIiIiIiOx8N80REREQDsmbLyt5uJaWB3vkVh3+cwNBpsDAYBm9bN7BxcGP4eLDi40bLG6yzcXBj9RDuLcCWL8KrgEteWV6cs9yI4dqC/gUNh271rvs6+shZbsdex5Ks7e02iQ9d6V6kWNxCobCZQmETxeKm8sdwPY8+umq7B3LF4uZxPnuOfH4KbW1TyOenkM9Ppa1tCh0dc5PblfeNfvvaa2/lOc95fsyXSkRERERERHZiGuaJiIjEogFZc2VpQJaBvd0g7PG2ZXgLmwc3sfmD/8amWfC3woP4XrDxX09l4z++gg0VA7XygG1o9EHdeA5DWdLb3suUzin0dfTR19HHlI4pzO6Zzd7T9mZKR+XyPvp+djl9ly9jyvNfzH1HHc9zrr2F/m99n/5XvYH+T51Hb0cfNhle2yzu7baDh64cbdjWjI/HGrzdeWf17VyuZ8RQraNj3oiB3HgGcLlcdxO/n/Rrl4iIiIiIiOw4/VYpIiLZogFZc2lAFs8E93YrFAth0Da0ueqyaXDTiGXl+4bq39do+eahikHJNODtwJbz4XUAl8Ell1U1dbd1bxuuJQO4/q5+5k+dX15eGsjVrldveU97z/btBffbrXD8wfCf57Hs6qs56tz3QWEu9E+Dzinjf5xWSHlvt2JxiGJxS3IZoFDYUnU7DOCqbxeLW4A7ue++X1AobEqGapsrPt7+YVs9uVwXuVwv+Xwv+XxP+eP29ll0do5c3ujj22+/i8MPX1oxgOvDrIXnGxQRERERERFpEQ3zREREA7Jm04AsniYfDnJ7uDuDhUG2DG9hYHiAgeEBtgxVfDxi+RYGvvcdthwNdwz+hl89Hzb/v0PYfNShbB7aMuagbWB4YLsb85ant6OXnvae8qW3Pdye2ze37vKe9h56rlhGz+Yhel7zeh7423KOPvQo+r5wIX1TZjLl3R+gr6OP3o5e2nIp/+g4iQ8HWZcZ7g4MMjS0rmKYtn0DtrBsYJTPH7kujH5uwNE8/HBzhm31P+7BJnoY020vML29BzTpsUREREREREQmLw3zRGLJynAE1BpLVlo1IGs+Dcii8WKRwXe/k62dsM43srIfBt7zOgb+9d1sSQZp9QdrDZYXGq9Tb9l26wFOBAZ/TccxeXoGbqfnlnvpmTW3apg2s3tm40Fb5fKOBsuT9dvz7Tv2wh77b+W/Q8vWLGPp3kvh3KWT8ntgrMNBujvugxSLWysuA7hvrVpWfXugzrLK2wMNPm/sx3YfBODaa3fsy83lupM92brJ5brJ57fdbmvrJ5fbnVyuK1neeN1tl8p1t91fWva7313Pccc9b8diRURERERERCQKDfPGYGbzgY8CJwEzgVXApcBH3H1tmm0yiWVlOAJqjSUrrRqQxZOhAVn5+7PSWWcx/NnPsLUwyNbCVrYOb2Ww4uMJLyskyyrWGc+ywcIgTAc+AGw6B84C+F/4yv+O+8vtbuumq62L7vZw3dXWVV7W1dbF9O7p5Y+78o3XG3P5579E9/pNdH7yM9x0/c08b+kJ4XXumgbvOKdpf3xNM+aQrECxOJgMyoaS68Gqa/ehEcvCdePlO7ourOWGG9pGDNxKw7PmvCTt5HKdmHUmQ6/O8iUs66StbWqyrKu8rHadFSseZt99D6oamlUP2eoP2MJjtPrfDB2mUkRERERERGSy0TBvFGa2L3AdMAf4CXAXcARwJnCSmR3j7mtSTJTJKEvDEbXGkaVWDcjiqRiQFb3I1jwMnfU2Bv/jYwwVhxksDDJUHArXhaG6t8ezTsPb2/PYj61mMP8UQx/uZtOWsymcnWfQz6f48fPH+CLHry3XRme+k862zvJ1R75jxLK+jr7qZflkvdLt319P58AQHaeczoMPPMQzDng6Xf/3A7p7++l61evGHLR15DtaMhxxL+If/k+8OIRTIG+bGBx6jOKn3oN7Ad98TzKcGsJ9OBmODY2ybDgZco22bLh8X+Nlw1XPU28ZbOC663IjBnRQjPRqWTK0asesg1yuo+a6enl7ex9m7WzcOJWpU+fXDM7qD9y2XRoP3Co/NyzraNrhIFesWMaeey5tymOJiIiIiIiIyK5Hw7zRXUAY5L3T3T9fWmhmnyPsC/AJ4M3jfrTJ9B/4lbJyKEDIRmuWhiNqjSNLrdDyAZm7U/AChWKB4eIwBQ/Xw8XhsZcVhhg+77MUFsAfh+9lcF8Yft9pDP3zPzGcrDdUHArXhaG6t0ddZ3vWHWudLZsYmjLE8NlGYdO/wocAvgSf+VLTX9P2XDvt+XY68h2055LrmtuVy3rae6rXeeIOOjoLtB9+LI+vfoJ9FuxN55XX0NnVS+cLXlQepFUO1cIgrp32fBsduTY6kuvOtjbac3k6cnk68vnkvhyGJ0OjAu4FoJB8XG/ZtuUjlh20P/gwTpG7B2HRnM34O09M7r8trDM8jA8N4z7MsA/zlA+zvvyYjS/huUZfx8fxOKF75ODruuua/kdfIZ8MvdqSoVjp0pYs33Y77G0Wbre19YxYtmXLk8ycuSBZVj1Yq7csXDdePvaAbsf2BFu2bBkHHri0uS+jiIiIiIiIiMgkpGFeA2a2D+EsN8uBL9bcfTbwRuA1ZvYed9805gNO1kPsZeVQgJCt1iztPaTWhtydohfLl4IXqm8XC6Pf98G3Uvz2+SwvrubPc6Dwb6+lsOrW8iCr9HmFYqHhdWvWGaZw440UT4dHBr7DBX8Pwx9cTOFpBzHs24ZplUO2HRrEJcuKPsG9e6YCrwcGvgyvAfgpfO+n2/UQOcvRnmujLZcvX9pzbeQtT3suTz6Xpy2XCx+Xl4XbnZajry1PvqONNuugLZcjbznacsml9PHy5eSHh8nvv4SN69cxZ+ZM2u66i7aOdtqXLKHNcrTnjLYctFuOtpzRljPajfJ13qA9Z+TNaTejLee0mdNW/hjyFDHzioFYseq6+uMhYCD5uEgYXhXx+aV1fsNA3yY6O2/ETykNrm7HB0cO3yqHVUPJZeyNYfPde2/95WFA1Qbkyx83vtRbp4NcrmeMdcbzOKHh/vuXs3jxgXUHavWXbRvKNV7WVrG8OXuQATz22DL2339p0x5PREREREREREQmRsO8xk5Iri93r/6fZ3ffYGbXEoZ9RwK/HfPRJuMh9ibBoQDdHcerroERy9yLsO5x/IILcAbZ/JKX8NRZb8W//GX8LW+muHkNXu/zKq6LXqx7X2l50Qs4xYplxZp1wzAk3C7dHw6lVn4MCuVe//IF+H7wJ7+T4hIofuBU/A2vp1geEBUqGgrbnpdtPcWKZZVNxWJynTxGaYBEef1ty7xqWaHqdvm5r76a4qnwUPHH/PZ0KJ7zDPzoo8LzkwypitWPW3780rJikSJe9Zwj1vFi+WsCp5B8TUWv+byqfqof49HV+FmwafCTdLwHih+fRnH6dJwihXKDUyiWXhtPBlnbnqNQfk5PPs8rntMr7vOJf5O/A9h8LrwVuPBZE3+87ZQDcmbJBfLJx3mDHMmyQoFcd5HcYXlo+wsdz8qTK9xHfuUKch3ttOXC4+TNyCcftxl0JMOmfA5yeScP5CzcZ+bhPiBnTt48eYw8ecuF58XJmZMjub/0eMml8nb4XEask0+er/bjtlzjdcLjFIHmnVerrlmlDx4M53gDOLy07J6KFS3ZMymHeR48XJeXWe3HOSBPwfIUk4/Ncsk6lR9Xfm4buVz14zR67IGBx5k+fY+K4VTpcUuXtjrL8hWDs3zN57XVWZZvyuNff/2NHHPM8XWGZzlaf56x0d1//zL22GNp2hkiIiIiIiIiIpJBGuY1tn9yfXeD++8hDPP2Y4xh3opN97Bk9t3w6Ta8/UL8v74S7nDKowJ3yoODyvFB7fJk1lU1ZPDKx4HyQKzysSqXVz3+buAfN/Dz8ev+G2Z5uG2fxz/5+Yrn9JrHGr29dP/Ir4UdH49MB/4d4Etw7ZfC7Q8AfBk+8+UdfdR4eoBXApu+Bq8AuAy+e1m6TY3kgEOAzdfCwQB/gRv+Ur4LwhDFKq4tGbBUXhvV6zRat9HjVX1uvWUGTIXcVOixNeR6IWdPkeOpcH+++nlyVv3c+Ub3EQY8VfdVXI92X85KH1t5UGZArlgk747lcpDP014okhsukOtoI9/ZSd4sfE4uRy653jZoy9VcGznLJevmkqFaLiwr3Ve6v/LjZEgUhhrhK63+OLm+fzkMD8P+S1i7di0zZszG7rgT2tph/wOS9XLlzy3d3vYYuW2PVXO7cv2mfT4GluPee+9j8eIlye18zedWDqxql2+7Hnudse8f7fFL19deez3HHntcg4Hb5Bo6PfroMpYsWZp2xjjNoL19ZtoRIs7FzrIAACAASURBVCIiIiIiIiIiUWmY11h/cr2+wf2l5dPq3WlmbyQcipNOoO+DcAvDt8BwUyOb5VA49HGc2cAt+C0TGLlFF1pJWrkl7Z565sO8PORXwIOE/XOeWAh7FqDwEDySdl+lsVpLu6VO8MCITTG5X9fqUfW21uKDUKxoHS48xPCk+h7YZiUkr+u2ZY3ezzAp1LROamqNQ61xZKU1K52g1ljUGoda41BrHGqNQ63Nl5VOUGssao1DrXGoNQ61xpGl1v3HXqUxDfN2XGlXirpTL3e/ELgQwMxuvtn9sFaF7Sgzu3lFBjohe62u1qZTaxxqjUOtcag1jqy0ZqUT1BqLWuNQaxxqjUOtcai1+bLSCWqNRa1xqDUOtcah1jiy1jqRz8+Nvcouq7TnXX+D+6fWrCciIiIiIiIiIiIiIiLSVBrmNfa35Hq/BvcvTq4n9THoREREREREREREREREJLs0zGvsquT6RDOrep3MbApwDLAFuGEcj3Vhk9tiyUonqDUWtcah1jjUGoda41Br82WlE9Qai1rjUGscao1DrXGotfmy0glqjUWtcag1DrXGodY4dplWc697yjcBzOzXwInAO9398xXLPwecBXzF3d+cVp+IiIiIiIiIiIiIiIjs3DTMG4WZ7QtcB8wBfgLcCTwbeC7h8JpHu/ua9ApFRERERERERERERERkZ6Zh3hjMbE/go8BJwExgFXAp8BF3fzLNNhEREREREREREREREdm5aZgnIiIiIiIiIiIiIiIiMknl0g4QERERERERERERERERkfo0zBMRERERERERERERERGZpNrSDtjVmNkMoM/dV6bdkmVmNg84EhgGrnb39SknjcrMbgUucfePp93SiJkZcCDQCyx398dSTqor+Tv0L8ARQDewHLjY3a9JsekY4A/uPpRWw/Yys/nAbOAOd9+aLMsBrwYOBQaB37r7r9Kr3MbMpgHHAUuA6UABeAy4yd2vT7OtlpntBTwX2A+YBjiwHrgbuMrdl6fVJukxs07gIMJ2688+iY9zbmaXAL9x9y+l3TIaM+slbLOecPdi2j31mFkb8FKqt1k/dPf7U2zaw90fTuv5d4SZtRN+fl5bs/w4tm2zrnT3O9Poq5X8TPV06m+zVqXZVkvbLKknS9ss0HarmSbbdkvbrPi0zRJpHW1f49D2dYebtI2NKNr21d11aeEF+AYwnOLzzwDOB24HbgE+DvQ3WPfslFtfCPwFGAD+AByRLP9HYFPyl6AArANelvaf7RhfSxG4cBJ07AfMqLP8n4FHK17TYeCXwPwUW98NXAPkK5YdVtFZrLgUgM+l/Of7KPAZYL+0/5zHaDXgKxV/1iuBZwGdwO9qXtsC8AOS86um1DsD+Hry70ChweUe4IxJ8NruBfyioqvIyO/TAvBzYO+0e7fj60p7u9UBnAX8BPhR8u9VvsG6ZwL3p9h6MPAz4G/A94F9k+UnAqsrvgceAI5N+892lK9jsmyzOoBcneUvTH6Gqfw54EvA1BRbXwN8t2abtS9wZ51/V7cCZ6b853s78DYa/Aw4mS7AB4CNyWt3M7B3si27uGZbMAycm3JrJ/BhYNUo26zfAodPgtdV26w4z69tVjpfi7Zb29+aie2WtllRW7XNSv/rSnWblaVWbV9T+1q0fd3+1kxsXyv+fLWNbX5n1O2rJU8iLWJm3wD+0d3zKTx3H3ATYaBjFXetBF7q7rfUrH828OGUWvcD/kT4B3sd4V1XTwAnAdcRNoq/BfYATif8A3Swu/8thdb/HcdqrwbuBW5Ibru7vzZeVX1mVgDOcfePVSx7K/B5wvfEw8DjhHcNdBGaD3H3TSm03gCsc/eTktvthKHNAuAS4MfAWsK7HM4i7GX2anf/vxRaK9/548DVhIHZJT7J9tYzs5cTNnSPATcS3hX0FOGH8/8ALgWuIryebwZmAm9x9wtTaO0n/J3Zn/B9uZzwi9xswg8cvwSOSS4GfMjd/6PVnUnrHoQfJnZLOi8nfL+uT9qmAosJP8DvRfgh/jB3fySF3O2S8narHbgSOJpt2y0H/kjYbq2oWT/N7dYewF8Jf9YlDwAvAG4FtgDXE7ZbhxP+3h3kLX4nnJl9dByrfZDwGv88ue3ufna8qvoabLNeSvg3LE/4IX0D4V1uTvgZ51h3H06hdRmAuy9NbhtwG2EbdTPhPx5K26zXEn7Af5G7X55Ca2mb5YTvy+8Tfkm/ofFnpcPMXkj4t34r4V33iwlv9PoG8EXCL+/XELYLLyO8rq9w9x+k0NoJ/AY4lvDaPgHMIvzb9ZfkchSwkPC9+wZ3/1arO5NWbbPiPLe2WRFouxWtdRlM/u2WtlnRWrXNmgTS3GZtL21fx0fb1zi0fY3Wqm1s8zvjb1/TmlLuqhfCN1khpef+CGHodVnyjXMY4R0LpXcvHFmz/tkptl5I2DX2ecntYwl75twF/Apor1j3JcnX9cWUWkvvqKh9d1jtO8WqbqfY+uGK21MIPwSvA/6uYvlUwrCsALw/pdYngPMrbv9d0v/JOuvOT9a/JsXX9auEYdiqij/zx4D/BBan0dWg9UrCYGxOcntO0rmOmneuAHsSfrj8fUqt5yav5Xug/OYTI+y1WQBenixbQvjBuAAcnVLr15LWt5daG6xnwDtL3zNpfz+M82tLc7v17uS1uhn4B8IPZb9Mlj0ELKpZP83t1meTrjck/4a+mvDD2Q2EwXl/xbpvStb9dAqdWd5mdRD+g2YL4d2Dncny/Qlv9CkAb02p9VHgCxW3T0j6L6qz7tMJRxj4dYqv6w8I7xjdUvFnfjvwVlJ8J2ud1p8TfjHfP7m9X7JdegT4VuW/t8AzCT8rXp5S64eS1/K/CYd+AegjHBFjCDghWXYi4T8jB4GnpdSqbVac59Y2K06rtltxWjOx3dI2K1qrtlmT4JLmNitLrdq+RmvV9jVOaya2rxWvq7axze2Mvn3VnnkTZGbbe+676UCPp/MOkT8R9rY60CvenWBmpxD+4g4BJ7r7TcnyNN/Ncgdht/iXVCy7BDgVOMZr3iVgZtcRNooHtbYUzGwTYeP878Cf661CGKD8nDCcAMDdr25JYGVIeNfFOe7+0eT2qYSh3Xvc/byadXsJ73hb6e5HptC6hXDozH9Pbr8X+DSw0N0fqrP+/xCGO1Nr74ut8nU1szxwGvBG4HlAjvBujGWEIXWqe+uZ2UPAL9z9jRXLvgq8nnD4h+U1638TONXdp7U0NDz3vcAD7v6COvddDkxz9yOS23MIe+xe4e5/39pSMLOHgRvd/Yxxrn8pYZf6PeKW1X3u7T2/5H7A7JS2BTcB8wiHr91UsfztwHmEH+CP9+Q48ylvt/5EOEb/CRXLfg08n7Bt/W3N+rcDRXc/pMWdBcKhKT5JePPBiFUIh7a9GriotNDdv9mKvqqQkduskwiHWPoPd/9gzbqzCNusP7n78Sm0DhDeEPHB5Pa7CYdeXuTuD9RZ/1vAS9x9emtLR2yzZgD/RDhU0f5se1fm9wj/EZbquzLNbAWwzCuOZpAcEeFVwAHufnfN+t8jvBFsVmtLyz+7rnf3o+rcdz0w4O7PTW7vS/iZ8QeezpEatM2KQNusOLTditaaie2WtllxaJsVR8a2WVlq1fY1Am1fo7VmYvuaPLe2sc3vjL59bWtW7C5s/g58TloT1H2Br3vNbsbu/lMzO5HwzpZfmdkL3P3WVAq3WUDYg7BS6S/mX+qsfxvhuMRpOITwLoDPAB8lvKum8rCLhL2qWZXGAG8Miwjfjz+uvcPdN5nZb4BTWl4VPEL4gbGk9H27scH6mwiDs1S5e4FwDPcfmdlCwlDvdYQTdS8F1pjZRYSN4T0pJM4g7MVY6fHkenWd9VcBPVGLGptPeC3ruY3wDiwA3P0xM/sp4d0taZhJ2HN4vO4gHDY4DaXd/W2sFSuktd3aH/iu1xzq192/YGaPAP8HXGlmx3vN4VVSsJBwOIVKfyL84lZvm3oD8IrYUXU8l/DL2HuBd3idQxOb2deBe9L4RW0MBxC+F0d0ufsTZvYLwnkT0vAY4dBOJaW/X4+PXLW8flfMoPFw9ycJ7yD+rIWThr8JOIPwi9zrzOzPhDeifNvdn0ohcQ7hHdeVSrfr/Z1/gOrDGrXS3sAXGtx3LeG1BcDd7zOzywh/H9OgbVYc2mbFoe1WHJnbbmmb1VTaZsWRpW1Wllq1fY1D29c4Mrd9BW1jmyj69jX1//jeCTwK3O7uufFcgPGcXy2WYRoMQtz9OsIPPO3Ar83s4FaG1VFg5PfnFgB3r/c1rCO0t1wy/T+a8G6WjwDXmdn+abTsgNI7lRodT/5h0hvkXA68JHmnAoRd5Y2wd2aV5JjEL2TbwHdScPcVHvYsXAC8lPA1zSD8sHRnSlkPEwb7lfZJrut93y4hHM87DRsJh/qsZz5hd/RKDxH2fk7DKsIx78frCOq/+60V1hLeFLH3OC+NBqqtkAOerHeHu18C/H+Ed2leZWaNvldaJUfYw73SRgB3r/d3aA0p/NDu7tcAzwB+CnzHzH6YvHsxCzqS60a/pK8kHD46DcsI26zZye1bCdusE2pXtPAOn6WEXzAmDXe/xt1fRfg79R7C3s7PIJxXt+Xn8UisZuQb5+Yl1wvrrL+QcPiVNAwQ/sOxnhl1lt1L+KU0DdpmxaFtVgTabkWzjAxvt7TNmjBts+LI0jYrS63avkag7Ws0y8jw9hW0jZ2g6NtXDfMm7o/AAWY23r0c0zyu6UrgwEZ3uvv1hPOSdRHeSdLyQ1ZWeAzYvWbZXwgn46xnD8JGMBXuXkh29z6aMPn/o5m9J/mHebLpN7MFZraAcHxhaPwPxxzCoDQNnyIMda8ws5Pc/Q+EP///NrO3mNlcM+s2s8MJe3EuJhzHfdJJvj9+7O4vIgzOPkH9veBa4Q/AKWZ2LICZHUMYkN4BfMrMyj9ImtkLCOekvDmNUMK71M4ws0MrFya3z2DkO9tmk97360+AE8zsMxYOUVuXmfWa2WcI77y5tGV11f5I2Ct3ZTJwHvVC471hW+HBpLUud7+UcFiFPQmHM96RveWb5Qlgt5plDxH+ztWzGw1+KY3N3Te6++uB04HnAHdYOIH4ZFT5c1Ppl5zRfjhO412CEM6P2ks4wsEB7n4V4Re5L5vZi0orJb/UfZ1wHP+L0wgdi7uvdffz3P1A4DjCodhbfpiixJ+A081sEUByfTrh71btIXWentx3e6sjE38EXprslV+W3H4pIw/FPp30/hNX26w4tM2KRNutKHaK7Za2WTtM26w4srTNylKrtq+RaPsaxU6xfQVtY3dQ/O2rT4KTGGb5QtgbqwAcPM71LyK9E4Z+jfCPWfcY651AOGRhIcXWHwN/3Y71bwauTvv7IWnpIpzYsgD8njBkKgIXToK20slMay8va7D+tcDNKfa+MPmeLRDeXfcbwrucavuLwCVALsXX9cPb+TlptT6NsEdbgfBuvNL1AYQfPFcSToC7rOK1Pjml1uOT599KOE73Jwk/5AzU6yJsFK9IqXU64d1KheR79pfJvwMfTS7nJ8ueSr5f7iKc8y+N1nOTzgPGuX6a263vEA5H0TbGeq8k7H2e5nbr58Ct27H+74Ab0mit6ZhN+A+PAuEQNTMysM16cYP1ryAcLSGt3tdV/Lt5A/DtitubCUdzKG2zrgO6Unxdt3eblda/V8cmvZsIvxhtIhyp4ejkNb2RcJjziwj/yVQA/jGl1tOT1jWENyS9Kbl+Iul6Xc36NwK/S6lV26w4rdpmtaZd263m9U767Za2WdFatc2K05qlbVaWWrV9bU27tq/N653029eK11Xb2OZ2Rt++tvzF39kuhN39zwOeMc719yecmDWN1tI31JvHse6JyV+KtDaA/wT8FugYx7pPS76uj6X9/VDT9TzCLt+lf0QmwwbwGw0ur6uz7r7J6/qllJv3JhyedlPSU3u5FXgDYCk2bvcGMOXX9GTgr8kG7ybg2GT5CwjvCiu9toPAh1Ju/Zeks1jT9f6a9aYkG+66P8y1qHUG8JVRvldLP3h8GZiRYufzCW+YePY41z8GeG1Kra9KXrd/GMe6ryX55S2l1vcRTrQ9nu3W3sl24TNpfR/UaXo9sJ7wxonJss1aBlxV53JmnXXnEX5B+nrKzUcC14zyb8BjwMcY441VkRuzts16C2Gv6yLhF9+XJctfTXizR+Xr+z8pt36MkW82KgIX1Kw3hXC0gdek2KptVvNbtc1q7deg7VZzmif1dkvbrKit2mY1vzNL26wstWr72tqvQdvX5jRP6u1r0qhtbJzOqNtXSz5ZdgHJoUD3BTa4e6NzpFWuvx8w192vjh43AWY2g7A7/Qp3T+sQe3WZWT9h2HsI8CN3/3jKSeNmZrsRzpd2n7vXnmQ0jZ42wuB2DmG37rXA37z+ccdbKtldep27r0+7ZaLMbDrhnS2dwPXuntb5BsqS78UXEw69+wTwa3dfmW5VY2bWAxxFePNGf7J4PeEdpTd4zYm7pbHktXwOsNrdxzxEgpktBRb65DtBd5XkMMeHEN61+WDaPSVmthfhUB+HAN9093elGrQdzGxvwqE/bnH3v0yCnj0Ib/iq2mYBf3L3QsptxwPLPRwyKROSnwFmuPtjNcsXE96A1kl4R+NNafRVMrNnEt5AV9pm/czDoewnJW2zmkfbrNbTdqupPZNyu6VtVlzaZkkWaPvaetq+NrVnUm5fkzZtYyOJuX3VME9ERERERERERERERERkksqlHSAiIiIiIiIiIiIiIiIi9bWlHbCzMLNe4GXACcB+wDTACbv83004/9sl7r4xtciEWuMYR+uVhENtZqE1S6+rWneAvl/TlRzGeHd3vybtlrGoNY6stGalE9Qai1rjyFjrVMLJ7iftIa5L1BqHWuNQa/NlpRPUugMNbcDs2tNAmNmhwPGE86T9yt3vTqOvUpZaoXyovYb/LzCZTr2j1jjUGoda48hKa7TOVpz4b2e/ACcDq6k+qWHtpUA4eehL1KpWtapVrTtf63Z+Xd8gpZNyq3VyXLLSmpVOtapVrdv9/PsCPyH8QrkG+Dawd4N1z1arWtWq1rRas9Kp1qitrweeJPzet5rk9z7gA4TBWOl3xSHgXWl1ZrD1cODPjP279p+Aw9SqVrWqVa3pd2rPvAkys6OASwh/CN8GfgncQ/iByICpwGLgxcDLgUvM7DnufqNa1apWtap152gVERHJCjObA/we2K1i8SuBl5jZq9z95+mUjaTWONQah1qbLyudoNZYkr3ZvgoMArcD+wMXm9npwMeBXwO/AuYDbwLONbNr3f0mtY7augS4CugBfsfov2sfC1xpZke4+11qVata1arWFDvTnKjuDBfg58BTwKHjWPdwYANwmVrVqla1qnWnas1t5+Ui0nt3s1p34dasdKpVrWqN2noe4R2hXwLmAjOBfwM2AVuB02rWT3OPHLWqVa27cGtWOtUatfW7wGbgoOT2foTf+x4GvlWz7uGEN4J+Q61jtn6PMHQ8eRzrnpqse7Fa1apWtao13c6Wv/g724VwOIKvbsf6XwPWqFWtalWrWneq1sKOXNSqVnWqVa1qTaH1LuCPdZYfTjgk2AAVh64m3f/EVata1boLt2alU61RW+8GflCz7LvJdvTgOuv/BrhbrWO2Pgp8ezvW/y7wqFrVqla1qjXdTh1mc+K6CcfDHq8ngK5ILWNRaxxqjUOtcag1DiP80vvoONefRdjtPg1qjSMrrVnpBLXGotY4stS6ELigdqG732RmxxEODfMDMzvD3X/Z8rpqao1DrXGotfmy0glqjWU+8KOaZQ8k13fXWf9O4OioRY1lqXUq8OB2rL8i+Zw0qDUOtcah1jiy0hq9U8O8ibsHONnMPuTug6OtaGadwMnAvS0pG0mtcag1DrXGodY4HgQ2uvtB41nZzL4B/GPcpIbUGkdWWrPSCWqNRa1xZKl1C2EvgRHc/W4zWwpcDfzIzE5pZVgdao1DrXGotfmy0glqjWUA6KhZNgjg7lvqrL+Z8AabNGSpdQVwwnhWNDMDngesjFrUmFrjUGscao0jK63RO3M7ECXVvgEsAa4ws+PMbMRramY5MzseuIJwAtyvt7ixRK1xqDUOtcah1jj+CCxOhoqTnVrjyEprVjpBrbGoNY4sta4ADm50p7vfQ/jFcgNwKXBMi7rqUWscao1Drc2XlU5QayyPAvNqlv0e+M8G688nHLElDVlq/R5wuJldbGYLG62U3HcxcCjhcHBpUGscao1DrXFkpTV+Z6uPHbqzXQgD0R8QTh5cIPywcztwTXK5PVlWSNb5PpBTq1rVqla17lStH0kaDh/n+hcBRbWqVZ1qVataU2j9PGGvjP4x1ns64T8Z0zy/n1rVqtZduDUrnWqN2noxcO92rH8HcLlax3zuLsKgsfS79p3AT4D/TS4/SZaVftf+PdCpVrWqVa1qTbez5S/+znoB/oHwn8tDyR9G5WWIcIiCV6TdqVa1qlWtao3SuAQ4E1g8zvVnAgvVqlZ1qlWtak2h9aRkG/qBcaz7TGAN6f0nrlrVqtZduDUrnWqN2noq4egrHeNY96jk6/p3tY6rtwP4AGFPzdrfs0uX5cD7x/M1qVWtalWrWuN3WvIk0iRm1gEsAvqTResJ78wZ9XxPaVBrHGqNQ61xqFVERGTXkxwOtODuw+NYdxph740V8cvqPr9aI1BrHGptvqx0Js+v1hQlvy92A5vG83WlabK1mtm+hNNWVP6u/Td3vy+9qvrUGoda41BrHFlpjdGpYd4Emdkz3f22tDvGQ61xqDUOtcah1jjUGodamy8rnaDWWNQah1rjUGscao1Drc2XlU5QayxqjcPMZrr7mrQ7xkOtcag1DrXGkZXWVnRqmDdBZlYk7DZ5CeHEwL/3SfqiqjUOtcah1jjUGoda41Br82WlE9Qai1rjUGscao1DrXGotfmy0glqjUWtcZjZMOFUFj8GfuLuK1NOakitcag1DrXGkZXWlnR6isc63RkuwPuAa0lOCAysBr5COAZ5e9p9alWrWtWqVrWqVa1Z61SrWtWqVrWqVa1qzUqnWtWawdYvAg8Szt1UAG4inOPpgLTb1KpWtao1q62t6NSeeU1iZrsDpyeX44E2YAPwc8I09pfuvim9wm3UGoda41BrHGqNQ61xqLX5stIJao1FrXGoNQ61xqHWONTafFnpBLXGotY4zOwI4KXAacBiwIF7gB8Bl7r7TSnmVVFrHGqNQ61xZKU1ZqeGeRGYWT9wMnAGcCLQAwwAVxB2t7/MJ8lxXtUah1rjUGscao1DrXGotfmy0glqjUWtcag1DrXGodY41Np8WekEtcai1jjM7EBC5+nAIYT/fH6EMIC8BLjG3YvpFW6j1jjUGoda48hKa9M7W7274a52AboIU9hvAk8QdrMcAq4C3pF2n1rVqla1qlWtalVr1jrVqla1qlWtalWrWrPSqVa1ZrB1AfAuYFnSWEiavw6cnHafWtWqVrVmsbUZndozr4XMLA88lzCJPQWY5+75dKvqU2scao1DrXGoNQ61xqHW5stKJ6g1FrXGodY41BqHWuNQa/NlpRPUGota4zCzWYQh5OnACUCHWidOrXGoNQ61Nt+OdmqYlyIzO8Ld/5B2x3ioNQ61xqHWONQah1rjUGvzZaUT1BqLWuNQaxxqjUOtcai1+bLSCWqNRa3NZ2Z9wIvd/ftpt4xFrXGoNQ61xpGV1u3p1DBPRERERERERERERAAws3cCf3H3K9NuGYta41BrHGqNIyutE+3MNblnl2RmfWb2XjP7ipm91cw6kuULzOynZvaUmT1pZv9rZrupVa1qVata1apWtapTrWpVq1rVqla1qnXn6FSrWrPWOg7/Bbwi7YhxUmscao1DrXFkpXVCndozb4LMrAe4ETgQMMCBK4FTgVuA/YF1wFTC8PRO4FB3H1CrWtWqVrWqVa1qVada1apWtapVrWpVa3Y71arWDLaeMI7VrgB+AXyutCCNPV7UGoda41BrHFlpbUmnu+sygQtwJlAEvkU4ae3/AAXgIuBh4NnJen3AN5P7zlKrWtWqVrWqVa1qVada1apWtapVrWpVa7Y71arWDLYWk+ffrota1apWtao13U7tmTdBZnYj0OfuB1Us+yPwDOB17v6tiuXtwArgXnc/Tq1qVata1apWtapVnWpVq1rVqla1qlWt2e1Uq1oz2FoENgCXEv7zuZ7XAvcA15UWuPs/xa+rptY41BqHWuPISmtLOnd00qhLeeL6KPD5mmXnEyarc+usfxHwhFrVqla1qlWtalWrOtWqVrWqVa1qVatas92pVrVmsPVDwFbg98CiBusUgQvT6FOrWtWq1iy2tqIzh0zUVGB9zbInAdx9VZ31H0k+Jw1qjUOtcag1DrXGodY41Np8WekEtcai1jjUGoda41BrHGptvqx0glpjUWsE7v4x4ChgOnCbmb09jY7xUGscao1DrXFkpbUVnRrmTdyTwOyaZZZc6plG2N0yDWqNQ61xqDUOtcah1jjU2nxZ6QS1xqLWONQah1rjUGscam2+rHSCWmNRayTufivwLOCrwPlmdqWZLUyrZzRqjUOtcag1jqy0xu7UMG/i7gP2q1n2MaC7wfoLCe++SYNa41BrHGqNQ61xqDUOtTZfVjpBrbGoNQ61xqHWONQah1qbLyudoNZY1BqRu29197OA5wP7An82szel2dSIWuNQaxxqjSMrrTE7NcybuFuBw80sX1rg7gV331q7opn1A0uBG1qXV0Wtcag1DrXGodY41BqHWpsvK52g1ljUGoda41BrHGqNQ63Nl5VOUGssam0Bd78KeDpwKXCBmf0G8HSr6lNrHGqNQ61xZKU1SqenfALDrF+AKYR309g41j0YOA84Sq1qVata1apWtapVnWpVq1rVqla1qlWt2e5Uq1qz1jpG2xnAY0ARuDDtHrWqVa1q3Rlam9VpyYOJeHMABwAAIABJREFUiIiIiIiIiIiIyC7MzKYDC4A17v5Q2j2jUWscao1DrXFkpbUZnW3NTdq1mVk3cCThGNnTCLtNrgfuBm5w9y0p5lVRaxxqjUOtcag1DrXGodbmy0onqDUWtcah1jjUGoda41Br82WlE9Qai1rjGKP17hTTRlBrHGqNQ61xZKU1WmfauxjuDBdgOnABsAEoNLhsBL4ITFerWtWqVrWqVa1qVada1apWtapVrWpV687RqVa1qlWtalWrWtUau1OH2ZwgM5sGXAcsATYB1wL3ECatBkwFFgPHAL3AXcDR7r5OrWpVq1rVqla1qlWdalWrWtWqVrWqVa3Z7VSrWtWqVrWqVa1qbUlnmhPVneFCOGFtEfgs0DfKen3A55J1P6dWtapVrWpVq1rVqk61qlWtalWrWtWq1mx3qlWtalWrWtWqVrW2olN75k2QmT0A3Ofuzx/n+lcCe7v73nHL6j63WiNQaxxqjUOtcag1DrU2X1Y6k+dWawRqjUOtcag1DrXGodbmy0pn8txqjUCtcag1DrXGodY41Np8rejM7WiclM0F/rAd69+QfE4a1BqHWuNQaxxqjUOtcai1+bLSCWqNRa1xqDUOtcah1jjU2nxZ6QS1xqLWONQah1rjUGscam2+6J0a5k3cGmD/7Vj/gORz0qDWONQah1rjUGscao1Drc2XlU5QayxqjUOtcag1DrXGodbmy0onqDUWtcah1jjUGoda41Br80Xv1DBv4n4NnGZmbx1rRTN7O3AK8KvoVfWpNQ61xqHWONQah1rjUGvzZaUT1BqLWuNQaxxqjUOtcai1+bLSCWqNRa1xqDUOtcah1jjU2nzRO3XOvAkysz2AW4FZwHLgcuBuYH2ySj+wH3AisBfwGHCYuz+sVrWqVa1qVata1apOtapVrWpVq1rVqtbsdqpVrWpVq1rVqla1tqTT3XWZ4AXYhzB5LSaXQs2ltPxXwD5qVata1apWtapVrepUq1rVqla1qlWtat05OtWqVrWqVa1qVataY3dqz7wmMrO9gRMIx0btTxavB/4GXOXu96fVVkutcag1DrXGodY41BqHWpsvK52g1ljUGoda41BrHGqNQ63Nl5VOUGssao1DrXGoNQ61xqHW5ovVqWGeiIiIiIiIiIiIiIiIyCSVSztAREREREREREREREREROrTME9ERERERERERERERERkktIwT0REREREZAxmttzMlqfdsb3MrMPM7jGzn6fdEpuZuZkta8HzLE2e65zYz1XzvJ83s7VmNquVzysiIiIiIunTME9ERERERKRFWjVwqvBOYBHw4RY+ZxQxB6pmdnjyZ/PuGI/fJJ8AOoFzUu4QEREREZEW0zBPRERERERkJ2RmvcC/A79x91vS7pnkTk+uL021YhTuvhq4CHiTmS1IOUdERERERFpIwzwREREREZGd0yuBaYQBkIzudOB2d78/7ZAxfBNoA96YdoiIiIiIiLSOhnkiIiIiIiKABW83s7+a2YCZPWxmXzCz/gbr95vZ+8zsSjN7yMwGzexxM/upmR1Zs+7rzMyTm8cnh3QsXc6pWffZZvZDM1udPOaDZvYVM5u3nV/SG4BB6uxtZmbnJM+91Mz+wcxuMbPNZvaImX3OzDqT9U4ws2Vm9lRyvrZvmdnMBq/HoWb2IzN7zMy2mtkKM7vAzObWWfei5Pn3MrM3mdmfk9f8UTO7sPI1L52jDlgILKx57S6q89izksdYlXT81cz+qdGLZGZLgCXAj2uW72ZmX0uatpjZbWb22lEe51AzO9/MbjezJ5Ov5x4z+6yZTa9Z981Jf93Dn5rZ7mY2ZGZ/rlzu7jcCy4HXm5k1ahERERERkZ1LW9oBIiIiIiIik8R/Ec4xtwq4EBgCTgWeDXQQBmOVDiCcx+wa4OfAWmABcArwIjM72d1/lax7G/AR4GxgBdV7yy0rfZAMnb4KbAV+CjwILAb+GTjZzI5095VjfSHJMOww4CZ33zzKqu8AXkQY+C0DTgTOAmaY2U+Ai5Ov7ULgaODVwKzkcyqf7yXAjwADfph8jYcCbwFONbNj3H15nef/T+CFwGXA5cBzgX8hnOfvhGSd5YTX7l3J7f+q+Pzbah5vGnAt4c/qh0AX8DLg62ZWdPdv1mk4I7m+pOLrmQlcB+wD/D65zAW+nHTW8y+EPfyuBq4A8sCzgHcTvh+e7e4bknW/DXwa+Gcz+4S7F2oe6/WE39e/Uud5rgVeBRwE/KVBi4iIiIiI7ETM3cdeS0REREREZCdmZkcThiT3AUe4+5PJ8i7gKuBIYIW771XxOf1Au7s/UfNY84E/AOvd/YCa+xy42t2X1mnYjzCcWQkc7+4PV9x3AvAb4Kfufnrt59Z5rJOAXwJfcPd31Ln/HMJg8SngSHe/M1neCdxK2FNtHXCGu1+d3JcDfg08HzjE3W9LlvcRBm7TgaXu/ruK5/k34FOE8/adWLH8IuC1hGHlsaUBpZm1AVcCzwGe7e5/qPic5QCVfwY1X1Ppl9uvAW8qDcjM7EDgT8Dd7n5gnc+7CZju7osqll1IGM79l7ufVbH8MOB6wqDtI+5+TsV9C4GHagdzZvYG4H+A97v7pyuWfwF4G3Cyu/+sYrkRvg93A+a5+/qaxzuTMNB8m7tfUO+1EBERERGRnYsOsykiIiIiIgKlwzB+ojTIA3D3AeAD9T7B3dfXDvKS5Q8R9gpbYmYLtqPhLUA7cGblIC95zCsJe+qdbGZTxvFYpeddNcZ6/10a5CXPsxX4HuF3xZ+XBnnJfUXCHmUAB1c8xqnATOB7lYO8xGcJg74XNHgtPlq5p6G7DwPfSG4eMUZ7PZuBd1cO1Nz9DsKg9oDa187M9iTswfjjimXthD3fNgDnVK7v7jcD36n3xO6+os4edgBfJwxNX1iz/EvJ9Ztqlp8I7E14Pdcz0urkenu+t0REREREJMN0mE0REREREZFwOEQIh0is9TtguN4nmdkxwJnAUcAcwuE4K+1B2NNuPI5Kro83s8Pr3D+HcOjG/YBbxnis0nnt1o6x3s11lj2SXNd7jtKQcX7FstJrd2Xtyu4+bGbXAHsBhzDytaj3/A8m19Pr3DeWe9z9qVEecxphSFdS2sux8nx5S4Ae4HcNhmnLCHsVVkmGgG8CXgEcCPRT/QbaPSrXd/e/Jq/Ni8xsT3cvNb4xuf5ynecGKA2bZzW4X0REREREdjIa5omIiIiIiITBC8CjtXe4e8HM1tQuN7PTCXvgDRAOgXkfsAkoAkuB44HO7WgoDeDeN8Z6feN4rC3JddcY69UbVg2P4772imWl167RXoCl5dPq3LdulOfIN3i80dR7vNEe83TCnm7XVyxr+L2QWN1g+feSx7sf+Emy3tbkvndR/3vhAuA4wjkRzzaz3QnnXLyt8hCjNbqT6y0N7hcRERERkZ2MhnkiIiIiIiLbBle7EYYxZWaWJwzaHq75nI8Bg8BhlYeqTD7nK4Rh3o409DfYu2x7PJZczxx1reYode/e4P65NetNCmY2k3Buvq969cnkK78X6hnxdSbn0jsduAJ4sbsPVdyXA/61wWNdQhgavsHMPgq8nvB7+ldGSS/9mT42yjoiIiIiIrIT0TnzRERERERE4Nbkut4A7jnUfyPkIuCOOoO8HHBsg+cp0niPsxsqnm+i/pRcL2nCY43lj8n10to7zKyNba/FrbX3b6cCO7a3XiOnJI/345rldxHOvfdMM+sf8Vl1vk7C9wLATysHeYkj2LY3XZVk3f8hHILzZMIeehtpcF6+ROnP9LZR1hERERERkZ2IhnkiIiIiIiJwUXL972Y2o7TQzLqATzb4nOXAYjObV7G+AWcTzplWzxpgzwb3fQEYAs4zs/1q7zSzDjMb76Dvr8DjwJHjXH8iLiWcx+0fzKz2+d4F7ANc4e7jPXdgI2uA2WZWdzC2A84gHJbzqsqFyYDtO8AU4JzK+5I98F5V57GWJ9dLa9afA3xxjI4LCYPKLwB7A9919w2jrH9ksv41YzyuiIiIiIjsJHSYTRERERER2eW5+7Vm9nngHcBfzOyHhMHaqcBa6p8P7jzgy8AfzexHyfrHEAZ5lxH2tKr1W+AVZnYZcAvhXG7XuP//7N15fFTV/f/x1weyASGsIjsBhK8KVBBRi5VdXFBrESsFF9SqrdKCaxFRUFHqvpVqqyIuRPSHiAVRRGStK2IVqAuKFBEVSSABERKS8/vj3kkmk5nJZJ0B38/H4z6Gufecez93mTvhfuac41Y45z41s4uBGcB6M3sN+BxvfLr2eC32fiCG1nbOOWdmLwGXmVk359z6WI9FRTnndvtx/z9guZn9P2Az0BsYijd23OXVsKklQB/gNTNbgTce3UfOufkVXZGZpQNDgDlhWtIBTAQGA+P9BN4qvO5CzwUW4rXqC/Y+8G9guJm95Zc/FDgV+AzYGikW59xmM3slaJ0Ru9j0WwoeCyxxziVUt6UiIiIiIlJz1DJPRERERETEMw4vmZeLl3z6HbAIL+mTH1rYOfcP4CK8RN+FeC22vgaOI3KXkuOA5/ASMjfhjbs3KGidz+IlwWYBvwDGAufhdeM4B7iiAvvzd//1ggrUqRTn3Mt4icyFwMnAtcAReMnO3s65jVGqx2qqv77OwA14x+7sSq7rVCCNsl1sAuCc2463P0/iJU/HAz2BP+IlcUPLF+Il4x4BWgN/xute9HG84xEuYRhshv+62jkXrTvSc/24HylnfSIiIiIichCx0uN8i4iIiIiIyMHCzBYBRwEdnXM/xTueRGFmWcBZQHPn3J4EiGcKXvesv3fOPRGl3GogHejmJxBFRERERORnQC3zREREREREDl7XAs2pWIu+g5qZpQDDgNcTJJHXEPgD3riDz0UpdxZeq81rlcgTEREREfl50Zh5IiIiIiIiBynn3Fp/PLuG8Y4lUTjn8oFG8Y7DzIYBR+ONrXgoXpIuWnKxHnCVc25BbcQnIiIiIiKJQ91sioiIiIiIiNQyM5uJN9bi93hj5k1yzhXFNSgREREREUlISuaJiIiIiIiIiIiIiIiIJCiNmSciIiIiIiIiIiIiIiKSoJTMExEREREREREREREREUlQSuaJiIiIiIiIiIiIiIiIJCgl80REREREREREREREREQSlJJ5IiIiIiIiIiIiIiIiIglKyTwRERERERERERERERGRBKVknoiIiIiIiIiIiIiIiEiCUjJPREREREREREREREREJEEpmSciIiIiIiIiIiIiIiKSoJTMExEREREREREREREREUlQSuaJiIiIiIiIiIiIiIiIJCgl80REREREREREREREREQSlJJ5IiIiIiIiIiIiIiIiIglKyTwRERERERERERERERGRBKVknoiIiIiIiIiIiIiIiEiCUjJPREREREREREREREREJEEpmSciIiIiIiIiIiIiIiKSoJTMExEREREREREREREREUlQSuaJiIiIiIiIiIiIiIiIJCgl80REREREREREREREREQSlJJ5IiIiIiIiIiIiIiIiIglKyTwRERERERERERERERGRBKVknoiIiIiIiIiIiIiIiEiCUjJPREREREREREREREREJEEpmSciIiIiIiIiIiIiIiKSoJTMExEREREREREREREREUlQSuaJiIiIiIiIiIiIiIiIJCgl80REREREREREREREREQSlJJ5IiIiIiIiIiIiIiIiIglKyTwRERERERERERERERGRBKVknoiIiIiIiIiIiIiIiEiCUjJPREREREREREREREREJEEpmSciIiIiIiIiIiIiIiKSoJTMExEREREREREREREREUlQSuaJiIiIiIiIiIiIiIiIJCgl80REREREaoCZbTIzZ2YDqnGdU/x1zqyudYrHP67OzDJraP19zGy+mW03syJ/W1P8Zcv892NqYtu1wcxmBu9TojvQ4v05MrMB/jnaFO9YgtX0veLnpCa+J0VEREQOVknxDkBERERESvMTNRfGWPwq59wDNRiOhDCznsBZwCbn3Mw4h1Mp/j6cBwwA2gNNgD3AVmAN8ArwL+fc7njFWF0S4XyZWRdgGVAfKAK2+69Rj6+ZNQbGAzjnpkQpdxbQE1jmnFtWHTGLSO3xE/mZwDzn3H/iG82BLdb7poiIiMiBRsk8ERERkcRVAOSUU+bH2ghESukJTAaWAzOjlPsS2IuXJEsIZtYQ+CdwLmD+bAfsBNKAw/1pFJBjZtccqAnLILGer5p0GV4ibyVwpnNuZ8jyzcBnQG7I/MZ4sQNMibL+syj5AcCyqgQqInExBugPbAJ+Tsm8mviejPW+KSIiInJAUTJPREREJHG95ZwbEO8gpHKcc4PjHUMwM8sAVgE9gP3ADLzk1mrnXIFfpjnQD+/B8ul4SaKZtR/tQaeb//pCmEQezrkLajkeEZG4S7TvSREREZFEpmSeiIiIiMjPwxN4ibw9eK3DloQWcM5tB+YCc83saLxknlRdPf/1gO+2VERERERERGpfnXgHICIiIiLVw8wuNzNnZnvNrHuEMv/0y2z2x5UJzJ/iz59pZnXM7Coz+8jMfjSzbDP7l5kdW872M/z1fGRmu/3pYzO7xcwaRahTvF3//YVm9q6Z7TKzPDNbamYnlbPdFDMba2YrzSzHzPaZ2f/MbIaZHRGhzkx/u1PMrK6Zjffj3uOvY4GZHROmngOe9N/299cRPA0IKrspdF7QsuPMbJqZvWNm35hZvpltM7PXzGxEtP2tDDPrAwTW+5dwibxQzrk1zrmbw6xrmb9fY8yssZndaWaf+seuTKszMxvu79cP/rnZYmaz/GRhaNl2/rr3+y0JQ5ev85fnmVndMMu/DT7mFTlfIetpb2aP+bHuM7OvzOyecDFFE7gG8MYmBHgyaNubgsoVH9PgecBXQe9DY59iZgP89Qe62JwcWi5MTHXM7HwzW+yfk3wz22pmz5vZceXsz3FmNt//jOw2s/+Y2Tgzq/L/K82sl5k9a2Zf+8d8u5ktMrOzo9Qp/oyZWVMzu88/V/v8z9VjZtaqAjFc4K/vWzOL+MNXMxvol9tjEe5tUerG5T4ZQ1yZZvawmX3m79cuM/vAzP5iZg0i1GllZn80s1fMbINfL8/MPvT3p3GEegOCPwNmdqqZvWrePbDIzMZHibOBvw1nZqdHKWf+teDM7LIKHos6ZvYn/xz95H9O5pvZL8upl2Jmw/zr7iP/Gt5r3vfRLDPrHabOGP9z2t+fFXyPKHWf8MvXyHdH0PYyzay7mc02s+/8+D81s5vMLLWcdQw0s7l+vXz/9SUzGxSlTtjvycBxMe8+iJmd4V/nO/3PzDtm9rsw61tGOffNoGV1/O0sNe/vnAL/XK837++HU2I8fCIiIiK1wzmnSZMmTZo0adKkKYEmvG4NHbCsEnXn+3U/AlJClp3uLysCBoUsm+Ivewp40f93Ad5Yas6f9gPnRtjuYXhj/QTK/uhPgff/A7qEqRfY7kzg8aDt5AbVLQTOjrDdVnjjCwWXzQt6/xMwPMoxngq86v87H9gVUveXIfW+C4ot338fPPUNKhs4HgNC1pEetI3AevJC5v0jwv4WH68KXheBY/tD6HVRiWtsmb+u6/DGO3J4Yx7lATuDytXxr6fg62dHyLn6Y5j1b/SXnxoyv5l/7Qbq9wlZ3jUolrRKnK/Aen8NZPv/zsP7HASWvQ8kV+BYve9vJ9+vnxu07ffDHNMxQfPm+ucrsO3Q2K8F+vr//skvszu0XEg8DYHFQessouxnbWyEfRnpn8NA2R1Bx2ZO0LmeUolr6jJ/28HrDt7WM0DdMPU2+cvPC/r3j/41EKj7FdAkyj1gStC8epTc886IEu8zfplnK7ifcblPxhDX8KBryOG13t0X9P5j4NAw9eYElQmct+Dz+AXQNky9Af7yTcA1Qddi4LyPDy0XUv+f/vwXo+zT4KBjnFGBY5EEzAvahwJK7lsF/rEKLMsMqXs6pY/HjyHHtQA4P6TOuUS+R4TeJyr93RHDfgfqj8K7jwRiCb4O3gbSI9SfGlQucC6D79fTItTbRPjvyTH+/GXATZRc48F/k7jAtRJUr9z7ZlDZWSHr2hmyv+9U5lhq0qRJkyZNmjTV1BT3ADRp0qRJkyZNmjSVnqhaMq8F8L1f/66g+Yf4D7IccG+YelOCHmbtB64C6vnLOgOvU/KQt3NI3RS85KEDNgMnAeZPg/EeUDtgHZAaYbs78B56/gGo7y/rCCz3l28FkkLqJgPv+cuXAyfiJ6qAQ4F7KHmgGhrzzKDtZgO/Dar7C2Ctv/y9MMeq+CFjOeci0kPK+sAreMmR1kAdf35jYCwlCcVzopynmRW8Lr7w62VVw/W5zF/XLv98nxK0D4cFlZtAyYPdSUBDf34b4AVKHs72i3Bu/hoy/zeUJNgcQQ9l/eWX+vNXVPJ8BScklgDd/fmpwMWUJIiuqMIxG1OR5UBmIK5y1h84ZlPKKfeSX+4j4DRKPuONgRvwHmQXAieE1OtMSVJiEdAp6Fq+Gu+esTOWGMLE1JeSBND/w0/+4CUuJlKSEJgU5TO2A/gQP/mOl5A5k5IkzF1h6oY9ZsDf/flzI8SbQUkCblAF9jMu98kY4uqDlxTaD/wVaO/HVBc4DngncN7D1J0G3AgcSUkCPRmvlVng3vxKmHoD/GU/+dudjp8sBNKCroFAuU0h9Y+lJJnVPMJ+PeuXebqCx+NGSu5N14Yc51cpnUzKDLNfM4BBQLOg+e2B+4P2uX1F7xFBn7dKfXfEsN/BCa33gB5B1+0YvO9+B/wzTN2RQfUfDpwTvB9gPBS07Lwon+EBIfPHUHLN78f7DmnsLzsU714ROJ5NQ+pmBrYZZX/7BZ3n8ZR8Pxnej4QuBO6p6HHUpEmTJk2aNGmqySnuAWjSpEmTJk2aNGkqPVHykDlcS6LQqUyLA+CMoIdU/f15gYf4awl5UOwvnxL0wO3GMMvTgE/95Y+HLDufklYH3cPU7UZJq4OLo2x3dJi6rSj5pXxo0uf3/vz3wu2TXybwYP5vEY6xA34Vpl7voOUdQpYFHjIuK+c8hn1IGcP5DxzPpVHO08wKrC85aF8mVMP1uSzo+ixzvv0yDShpNVSmRQZeomAl4ZNvF/nz3w6Z/4A//3b/dX7I8sDD+9sqeb4Cx6hMMsVf/rC//M0qHLMxFVlONSbzgCF+ma8IefgdVOZ6v8yCkPlP+PM/xU/ahCyfFHT8IsYQYZtL/HqrCN/67g5KkscZIcsCn7HvCEqeBC0PtPraGOsxA3oFXd+HhKl3WWCdgFVgP+Nyn4whrlV+vasiLG8CfOOXOaYC620KbPPrdQxZNiBofyL+wIAIyTx/WSAxOi7MskaUJJ8GVCDm4PtWmesYL7G/Pij2zAoe68DnaHKYZcsoJ5lXgWtsaSXqBvbpe8LcHyi5jxYS9J2Il/za4C97LsK6swLnET8BGbQs8BkeEGF7jsh/kwSurwtClmUG6kbZ38C97tXKHm9NmjRp0qRJk6banjRmnoiIiEjiSsb7BXq0qczfc865+XjdkNUBnjazq4Cz8B4Un+ec2xdlm3vwkiah69wL3Ou/PdvMLGhxYJyeec65dWHqrsfrjg28FnDhbMZ74Bda91u8ZB1A6DiAF/qv06PsU2CdkcaTWumcWxVmux8AW/y33SLUrSnz/dfjLcy4cJXQNOjfO8IVMLNUf3yjcFO7COt9Ndz59g3Fa8GUD9wVutA5Vwjc5r890cxaBi1e4b8eEzJWV3//9W/+fpxopcdqCyxfHiGmWN0X4Xqa57+GHY/yABD4vMx0zuVEKBP4vAwMXHv+Z324P/9+/14Q6gG8e0eFmFlTYKD/dpp/XYS6E69VZDpea8Jw/umcyw4zP3DOOkYa9y2Uc+5DYA3e/fe8MEUu8l9nOudcLOv0xes+GZGZdQZOwGvd9Gi4Ms65HXgt0iDyfTRcvRzgLf9ttLHm7o51nSEe918vCrNsJF6XqV9SsftB4L61D68lXSn+feGeioVZSuDefkIV1hHL+qvy3fFohPvD03jfiXXwWkkH9MTrPha8rjbDucV/7YDXqrIi9hL5b5JF/tvK3JPz/NcWVg1jfoqIiIjUBv3RIiIiIpK4ljvnrJxpZ4S6V+P9Wr49cJ8/7ybn3EflbHO1c+7HSPH4r43xuhwLONp/XRplvW+GlA233UgPxr/xX5sEZphZEiUPBe+LlIjCa5EIECkh9X6UmMtst7qYWZKZXWJmr5nZt2a2z8ycmTlKEm5pNbHtSCEROWEc6aHw21HWFzjPH/nJgHBW4HWfFlwe59yXeA+Nk/C6YMTMGuN1f/qpn7hYhdf65ih/eSegLV6rp2hxxSLSNVFj10Mt6eu/XhXl87LaL1Mfr4s8gE54n3mIkBhxzu0GPqhETL3wrj0XZd25QeuOdP8o75xByT7EImyiyMyOAI7H6/pzZgXWB3G4T8YgcE2kAF9FuS5G+uXK3EfN7Fgzm2Fmn5rZ7sB9zL+X/dov1jrC9n/Ca2FXGc/iJXqOMrPQ43Wx//pkBROugfX8x7/uwomaHDSzpmZ2k5m9ZWbZZrY/6HgEvo8iHY9y1cJ3x7JwM51zRXitqaH09Rn49w9+Qjpc3c8ouT4jXduR/DfK3yRVuSe/gfdjk6OBZWZ2nplV+ryIiIiI1IakeAcgIiIiItXPOfejmY2l5Jfr7xBbi4JvYlx2CF43c4F/l1c30MqtmZlZmAesu6LUDbQESg6a1xTvAXTg3+WpF2F+RbdbZWaWjnde+gbN/gn4AS9JAF4SDbxu37ZXcZPBrSzCPvT0WzkUt7Y0s8PwksHR/BBlWbnXhHNur5ll4+3rISGLVwK/w2tttxhvPMQ6lDxoXo7XnWx/vLHSAq3yoiWjYxXpmghcDwfq/6Fa+a+N/Kk89f3X4HOzNUr5aJ//SALrzvUTgpEE7h+h10lA2HPmX2OBtxX5HM/Cu1/2MLPefktdKEkSveGc21yB9UHp6/42AAAgAElEQVR87pPlCVwTdSm550RTP/iNmV2L1/I2cJAL8RJK+f77RniJpUitIrP9JFGFOed2mNlcYBRe0nWNH9OReD/0KAKequBqA+eoUte5v+03KX0sd1Ey3mQK3j04plaiYdZfG98dsfwNEPw5jOW6Bu/abkPkz3AkNfId7Zz7wsz+iNfS+0R/wsw2Aa/htfb9sKLrFREREalJapknIiIicvAKblXShdge1kZj5SxPreL6KyL479ijYmjBWF7stekmvIex2/G6PjzUOVffOdfCOdcS74FnQJXjds4V4HU3B17rtuoSrkvEUJW9JgKtX/qHvC4vZ3mgi04pK/CZ+XUsnxfn3KYKrr8q12pt3jvK5ZzLA/6f//YiKG4NHOh2c0YVVp9I+xq4Jj6M8ZoYE6hoZt3wukA1vIRIN7yxJps651r697JAt6GRro1Y7iHRPOa/jjKzwHENJFxfd85tCVOnJj2J9z27BjgFaOicy3DOHeofj3P8cpX9rNTqd0cY0daZSNd1TJxzM/B6GRgPvAxk44239wfgAzObGL/oRERERMpSMk9ERETkIGRmo/G6RtsPfIbXZV4sD6CjdTPVKujfP4T5d4coddv6r9kV7PYskmxKHgQfWQ3rq02BB7p/cs497ZzbFrK8qknXcJb5r0PMLCVawWpS7jVhZmmUdOUY2sovkKw71szqUTaZ9yHemEf9/DHdqmu8vIPZ9/5rRT8vwecm1vtDRdddz8yitdgJ3D+itQatboGuNgOJotOAlngtXedFrBVZPO6T5QlcE138ZGVFnI33PGGRc+5Pzrn/hhnzsCbuZcWcc8uAL/BaZ59ZDQnXwDmKdp2HXWZm7fFaBBYCZzrnFoVpbVrV41Eb3x2xfMbDff+3L2e98fgMl8s5971z7kHn3Fl4rQaPxesO1YDbzKw6fwAjIiIiUiVK5omIiIgcZMysHV5LCYBbgbPwuuI6xcyuKKd6HzOrH2FZIGGyE/gqaP4a/3VglPUOCilbJX5rs8D4XsOrY50VEOjOrLItHwIPNSN14TWkkuuN5p/+6yHAZTWw/lCB89zFzNpEKNOPki4rS10XzrlPgW143dINxRtb7XN/vDz8pMFbeA/xT8NrTVEI/DvMdqp6vuKpuAtCC+ovMkq5aGUCYwmeXcEYNuJ95sE7Z2WYWQPgmAquF7zPQCBpFfb+YWaNgN7+22q5f8TCObcK+BSvW8SzKGnpnOWc21eJVdb6fTIGgWsiHe9zVhFR72P+NXF8JeOqiCf814uBYXgJrWy8llYVFTjuPc0sI0KZ/hHmFyernHORupyMdm+P5TNcG98dYffPv/+c6L8Nvj4D/25gZscShpl1paTVYG1c27HeN0txnvfxkqZb8J6X/ar6wxMRERGpHCXzRERERA4i/oOrmUBjvHHy7vATI3/xi9ztP1iLpD4wLsx6U4Gr/bdzQlqNBLpSO9XMeoWp2w0Y4b99IcZdicVM//VsM4v2gBwzCztWXCXl+a+NK1k/13/tEbrAHxPpxkquNyLn3HuUnKc7zWxwdW8jxOt4xykZuC50oZnVxesyDmClc+67MOsIdJl5I96YXstClgda4U32Xz/0u0cMVdXzFU/B+xMt/lj2cab/eoyZXRBto8GfF/+z/qL/dnxQd4bB/kzIeGqxcM7lAEv9t38xs3D/P/0L3rhru4GFFd1GFQVa512NlyiCynexGa/7ZET+d8M7/ts7/QRcWGZWL+TcR7yP+W4EGlY9ynLNxGuBPhSY4M971jmXH7FGZIvwPkuphP8eTAGuiVA3cDwONbMWYer2wBvfL5JYPsO18d3xRzMLF8N5QDu8RNncoPn/wWsdCRCpW8op/usm4L2qh1iucu+b0Vqo+z8WKfDfHnDdh4qIiMjBS8k8ERERkYPLVXitO34Ezg/q9uxvwGK8B+7PROlSLReva6lxfveGmFknvFYORwB7gb+G1Hke+Nj/9zwzGxL4NbyfNFqIl9RZD8yq+i4WewLvQXQdYIEfc9PAQjNrYWa/M7NlhHkwWwXr/dcjzey4StRf7L/eZ2b9g45VH2AJ0LwaYgznEmAt3jXwmpn908x+GXwtmFm6mQ0F7q/KhpxzPwJ3+G//bGY3+g+b8VvqPYfX4qEImBRhNYFkXh//NbQLzeXlLA+o6vmKG+fcTmCr//aiKEUD+3iKmYXt7tI59xolD+FnmNktwWXNrImZ/drMXgbuC6k+De+zfwTeZ7yjX6eemY0HbqMk0VBRN+FdB0cDs82srb/udH/MqkCC5q8RkrU16WkgH6/rvWS8hHGkVlHlidd9sjx/AvYB3YGVflxJflx1zKybmU3CG3cz+NoK3MeGmdnEQItuMzvEzO4GbsBrIVej/B8CLMD7Hgi0BKxUwtU5twe4y3872cyuDvoezMTrfrFdhOqf4LXmMuB5MzvMr5dsZsPxjldot5vBAp/h4X5r1HBq47sjDe/7obu/7mQzuxB41F/+hHNuc6Cwn+wP3MN/bWYPm1kzv24zM3sI+J2/fJJzrrjVXE2J8b55h5nNMbOzQv5uONSPuSNeq+HFwZXMbJmZOf/vChEREZFapWSeiIiISOLqa2bflTM9GCjsP3wLJFCucc4Ffi0feOB2EbAD78F0pATKy8C/gAeAXDPbgfcQ92S8bgwvcs59GVzBbwFxNvA/vHFzFgO7zexH4A1/3mZgeCW7pwvL72rz13hdK9b3Y95uZjlmtgtvPKgsvG7Dqm38KefcBrxEUxLwjpllm9kmf4qlW7lJwHa8h8LLgD1mthuvxUIPSh58Vis/EXICMNuP/VK8rir3+cdsJ16LhkXA6Xhjg/0Z+LqSm7wHLxliwFRgp5nl+Os7By+B8yfn3IoI9UOTc8tC3q8G9kQpD1TL+Yq3QOuwe81sd1Ds44PKvIR3vroCW8zs20C5kHVdgDfeW13gZmCrme00s1xKxoI7MzQA/zN/Ed494BRgo39vyMNL/L5M5bo1xDn3FnAF3vVwDrDZv052ArfjXT+zKPsjghrnnPsB734YUNlWeXG7T8YQ12rgN3jJ2F5+XD+a2Xa8BO46vGRtK4Luo8651ylJDt+Oty85ePfda/GO1YJa2o3Hg/79gXPu44gly3cn3rVcF7gXyPOv9a/wWv9dHK6Sn6T6M951PADYYGZ5eAm8F/ESpuPD1fU9g5c4/hXe99g3/md4VVCZ2vjuuMJf11r/O2E3XuvH+ng/nrk6tIJz7nm8awBgLLDNvxa24SWLwUvG12aSurz7ZhLe5/ElINvMcv3z9V1QzJOcc+tqMWYRERGRqOKezDOzMf4vm6JNoQNpY2Z9zWyh/+Bhj5l9bGbjzeuyJ9K2Tvd/SZXr/0H3rv8rs2jxXWhm7/nlc/36p1fHvouIiIiUIxlv/J9oUyMo7jLqWbwuoV5xzv0jdGX+OD5X+m9vtPDj2zi8B+pX47U0SMFLAC4A+jrnZocL1E8cHoU3Rl/ww6/Ag+BfOOc+j3XHY+Wc24aXrBuN17JlG974T4Y33tUTeGOq3RFpHZU0HPg73gPedKCDP6XFEPNGvITqs368dfESF7OAPv5D8hrhnNvlnPsd3kP7+/DGL8rB6w7PgM/xEqDnAW2dcw8Hte6s6LYKnXMX4nUd+DrePqYD3+K1zDvWOff3KKtY68cG8IVzbmvwQj+Z+5b/tggIfugdqtLnKwHcitfV5Md45ygQe3H3cc657Xhjsc0FfsAbGzFQjqByPzrnfoOXrJ0LfAPUw/ucf4F37kfgPdAnpO5svGTwK3jnMgX4L16C4hyqkDD371d9/O1/i3eOcvESS+c4586r7HVYDQIJq31UscVcvO6TMcT1Kl4ieCrePWEv3vWVh/cZuxk4wjn3v5Cq5+K1nPwEr1tCw/txxYXOuUtqJ3oAXqMksV/phCuAc24/XpLnz3ifuf14SexXgP7OublR6r6E1zJ+MbAL7zv8f3g/bOiF13IvUt1PgZP8fckFWuJ9ftsGlamN7463gOPwunrdh/e5/gzvGhjgnAvbutA5NwkYjJcI3Y73Gc7GS4YPcc7dUA2xVUR598378c7xy3jfe4b399PXeK1o+znnqvvvBhEREZEqsdLDncQhALOeeAOKh3Mi3h/DrzjnTg+q82u8X7ftxftDKwc4A/g/vDFczgmznbHAw3h/UD6P96u3EXh/HN/rnLs2TJ178PrE34I3xkEKMBJoivcr4r9VYpdFREREEo6ZTcEbe+wp59yY+EYjIpIYzOwx4PfA8865kfGOR8oysxPwkvl7gVZ+N4tSAWYWeDDU0Tm3KZ6xiIiIiEh4cU/mRWNmb+P1e/9r59y//HkZeL8abQSc4HcLgpmlAW8CvwR+F/yrcb9/+0/xxo7pHfjj1LyB3d8HOuP90vztoDp98X5V+CXer9x2BK3rA6ABcLj+0BUREZGDgZJ5IiKl+WOXbcFrZTTYOfdmnEOSMMzsGbzWxM845y6IdzwHIiXzRERERBJf3LvZjMQf8+V4vK5fXglaNAKv25jZgUQegHNuLyVjv/wxZHUX43WZ8LfgP0z9BF2g64Q/hNQJvL89kMjz62wCpvvrizYIvYiIiIiIiByA/K6L78NL5H0MLI1vRBKOmZ1MyVhxD0YrKyIiIiJyIEvYZB5wuf/6RMj4CIP819fC1FmB11d+XzNLjbHOqyFlqlJHREREREREDlBmNsLMNuEN5XAx3phh17hE7tLmZ8jMNpnZ93j/X6+L1yrvgziHJSIiIiJSYxIymWdm9fC6ySgCHg9Z/H/+a5mBwf3Bqr8CkoBOMdb5Fq/7zbZmVt/ffgOgDbDbXx5qg//aNZb9ERERERERkQNCOtAB7/+UHwLDnXNvxDckCaMDXo89W4B7KfkxsIiIiIjIQSkp3gFE8FugMfCKc+7rkGWN/NfcCHUD8xtXsE4Dv9yeSm5DRERE5IDlnJsCTIlzGCIiceWcmwnMjHMYUg7nnMU7hoOJjqeIiIhI4kvUZN5l/us/KlE38EdoRbpBqUydqOXN7DL8/UhLS+vdvn37Cq669hUVFVGnTkI21ixDsdYMxVozFGvNUKw1Q7HWDMVa/Q6UOEGx1hTFWjMUa81QrDVDsdYMxVr9DpQ4QbHWFMVaMxRrzVCsNSOxYt0IpAGtwy6NV6wOx5e7vyQ9KZ2WaS1jqpNYxzW6zz//fLtz7pBKr8A5l1ATcCRekuxroG6Y5e/7y3tHqL/OX35E0Lwf/HnNItTZ7S+v779v4L/fFaF8c3/597HsU9euXd2BYOnSpfEOIWaKtWYo1pqhWGuGYq0ZirVmKNbqd6DE6ZxirSmKtWYo1pqhWGuGYq0ZirX6HShxOqdYa4pirRmKtWYo1pqRKLHu2vWxW7oUt3Xr4xHLxCvWF9a94JiCe+PLN2KukyjHNRbAaleF3FkipiwDfd0/4ZwrDLP8M/+1zHh1ZpYEdAT246WXY6nTCi95t8U5twfAOfcj8A2Q7i8P1cV/LTMGn4iIiIiIiIiIiIiISKLJzl4AQNOmp8U5krKy1mXRMr0lAzIHxDuUhJRQyTwzSwPOB4qAJyIUe9N/PSXMsn5AfeAt59y+GOucGlKmKnVEREREREREREREREQSTnb2Aho2PIbU1HBtmOJnx087WLhhISO7jaRunbrxDichJVQyDzgHaAIsdM59HaHMHGA7MNLMjgnM9BOBU/23j4TUeRLYB4w1s8ygOk2Aif7bR0PqBN7f6JcL1MkErvTX92QM+yQiIiIiIiIiIiIiIhI3+fnbyct7m2bNTo93KGW8+MmL5BfmM/oXo+MdSsJKincAIS7zX/8ZqYBzLs/MLsVL6i0zs9lADnAm8H/+/OdD6nxlZtcBDwGrzex5IB8YAbQF7nXOvR1S5y0zuw+4GvjYzOYAKcC5QFPgT865TVXcXxERERERERERERERkRqVk/Mq4BIymZe1NosuTbvQu1XveIeSsBKmZZ6ZHQH8CtgCLIxW1jk3D+gPrADOBv4EFOAl3kb6gwmG1nkYL+G3HrgAL3H4HTDGOXdthO1cA4zxy13m11sPnOGc+1uFd1JERERERERERERERKSWZWcvICWlFenpveIdSinf5H3Dsk3LGNVjFGYW73ASVsK0zHPOfQLEfKacc/8GKjRKo3NuPjC/gnWeAp6qSB0REREREREREREREZFEUFRUQE7OaxxyyDmYJUwbLwBmr5uNwzGqx6h4h5LQEuusiYiIiIiIiIiIiIiISLXJzf03hYV5idnF5rosjml9DF2bdY13KAlNyTwREREREREREREREZGDVHb2AsxSaNJkSLxDKeXT7Z+y5ts1jOquVnnlSZhuNsWzb98+cnJy2LVrF4WFhbW67UaNGvHJJ5/U6jYrS7HWDMVaMxRrzTiYY61bty4NGzakadOmpKam1mBkIiIiIiIiIiJysMvOXkDjxgNJSkqPdyilZK3NwjBGdh8Z71ASnpJ5CWTfvn1s3ryZJk2akJmZSXJycq0O+Lhr1y4aNmxYa9urCsVaMxRrzVCsNeNgjdU5R0FBAXl5eWzevJn27dsroSciIiIiIiIiIpWyZ88GfvrpM9q0GRvvUEpxzpG1NotBHQfRqmGreIeT8NTNZgLJycmhSZMmNG/enJSUlFpN5ImISGIwM1JSUmjevDlNmjQhJycn3iGJiIiIiIiIiMgBKjv7FQCaNRsW50hKe3/r+3y540tG9VAXm7FQMi+B7Nq1i4yMjHiHISIiCSIjI4Ndu3bFOwwRERERERERETlAZWcvoH79btSr1zHeoZQy6+NZpNRNYfgRw+MdygFBybwEUlhYSHJycrzDEBGRBJGcnFzr46eKiIiIiIiIiMjBYf/+PHJzlydcq7z9Rft5fv3znN71dBqnNY53OAcEJfMSjLrWFBGRAH0niIiIiIiIiIhIZeXkvI5z+2nW7PR4h1LK0q+W8v2P3zOqu7rYjJWSeSIiIiIiIiIiIiIiIgeZnJxXSEpqQkbGL+MdSimz1s4iIzWDYV0Tq8VgIlMyT0RERERERERERERE5CDiXBHZ2a/QtOmp1KmTFO9wiv1U8BNzP5nL2UecTVpSWrzDOWAomSciAGzatImMjAzGjBlTpfUsW7YMM2PKlCnVEtfBYsCAAeoyUURERERERERERGrFrl3vU1DwQ8J1sfnKhlfYlb+LUT3UxWZFKJkn8jNiZgwYMCDeYRyUxowZg5mxadOmeIciIiIiIiIiIiIiP3PZ2QuAujRtenK8Qyll1tpZtExvycDMgfEO5YCSOG0rRSSu2rRpw+rVq2ndunW8QxERERERERERERGRKsjOXkCjRieQnNw03qEU2/HTDhZuWMgVx1xB3Tp14x3OAUUt80QEgOTkZLp27UqrVq3iHYqIiIiIiIiIiIiIVNLevVvYvfs/CdfF5txP5pJfmK8uNitByTxJSO+++y4jRoygZcuWpKSk0K5dOy6//HK2bt1aqtzcuXMxM44//ngKCgpKLVu3bh3169endevWbNu2rXh+ZmYmmZmZ5ObmMnbsWNq0aUNaWhpHHnkkDz30EM65sDG98MIL9OvXj0aNGlGvXj169OjBtGnT2LdvX5mygW3s2bOHSZMm0b59e1JTUznssMO48847I24j1v2GkjHY9u/fzx133EGXLl1ITU2lXbt2/OUvfyE/P7+47MyZM4vHa1u+fDlmVjwFxraLNGbe559/zoQJEzjmmGM45JBDSE1NpUOHDlx22WVs2bIl7H5UVG5uLuPHj6dt27akpaVx+OGHc99997Fx40bMrExMY8aMISMjg40bN/Lwww/zi1/8gnr16pXqQrSoqIhHH32UPn36kJ6eToMGDejTpw+PPPIIRUVFpdbXunVr2rZtWyauDh06YGbcdtttpeYvXLgQM+Pmm28GvO5Ln3rqKQA6duxYfGwzMzPLrDOW8yUiIiIiIiIiIiJSWTk5rwDQrNmwOEdSWta6LA5rehjHtD4m3qEccNTNpiScJ598kksvvZTU1FTOPPNM2rVrx4YNG3j88ceZP38+77zzDk2aNAFg+PDhXHnllUyfPp0bb7yRu+66C4A9e/Zw7rnnsm/fPp599llatGhRahv5+fkMGTKEnTt3MnLkSPLz83nxxRcZN24cn332GdOnTy9VfuLEiUybNo3mzZszatQo0tPTefXVV5k4cSKLFi1i8eLFJCcnl6pTUFDA0KFD+eabbzj11FNJSkpi3rx5TJgwgb179zJ58uQK73f79u3LHK9Ro0axcuVKTj31VDIyMli4cCF33XUX27Zt48knnwSgZ8+eTJ48mVtuuYUOHTqUSo6VN4be3LlzefTRRxk4cCB9+/YlJSWF9evXF8e1evVq2rRpE3Ud0ezdu5dBgwaxZs0aevXqxejRo8nNzeX2229n5cqVUeuOGzeOlStXMmzYME477TTq1i1pmn3++eeTlZVFu3bt+P3vf4+Z8dJLL3HFFVewatUqZs2aVVx20KBBzJo1i08//ZTDDz8cgC+++ILNmzcDsGTJEm666abi8m+++SYAgwcPBmDy5MnMmzePjz76iHHjxtG4cWOA4tdgsZwvERERERERERERkcrKzl5AWlpH6tc/It6hFPsm7xuWfrWUm/vfXNzwRGKnZJ4klM8//5zLL7+czMxMli9fXipJ9Oabb3LSSScxbtw4nn766eL59957L2+99Rb33HMPgwYN4pRTTuHKK6/kv//9LzfffDODBg0qs51vv/2WTp06sW7dOlJTUwG45ZZb6NOnD3//+98599xz6devHwBvv/0206ZNo127drz33nu0bNkSgGnTpvGb3/yGBQsWcPfddzNx4sRS29i6dStHHXUUc+fOLU4mTp48ma5du3L//fczceLE4gRgrPv90ksvldmXL7/8kvXr19O0qdf38e23385RRx3F008/zbRp02jZsiU9e/akZ8+e3HLLLWRmZha3xovF+eefz1VXXVV8nAJef/11Tj31VKZOncojjzwS8/pC3X333axZs4aRI0eSlZVVfCO/8cYbOfroo6PWXbNmDR9++CEdO3YsNf+5554jKyuLXr16sWLFCtLT0wGYOnUq/fv3Jysri2HDhjFqlNecO5DMW7JkSXEyb8mSJQCcdNJJLF++nD179lC/fv3iZfXq1eOXv/wlAFOmTGHTpk189NFHjB8/PmyLvIBYzpeIiIiIiIiIiIhIZRQW/sSOHUto1er3CZU0e3798zgcv+v+u3iHUqucc9VyHpTMO0Bs2DCe3bv/U6PbKCwsLNWyqaLS03vSpcsDVYrhkUceoaCggAcffLBMa69BgwZx5plnMn/+fHbt2kXDhg0BSE1N5fnnn+foo4/mggsu4Prrr2fmzJn069evuBvEcKZNm1YqQdW0aVNuuukmLrroIp588sniZN6MGTMAmDRpUqlES1JSEvfeey8LFy7k8ccfL5PMA3jooYeoV69e8fsWLVrw61//mqeffprPPvuM7t27V3q/A+68887ixBBAgwYNGD16NLfeeiurV6/m9NOr1i9ypFZ3Q4cOpVu3bixatKhK63/qqaeoU6cO06ZNK3VTa9euHePHj2fSpEkR615//fVlEnlQcs7++te/FifywDs2d955J0OGDOHxxx8vTuYFWtgtWbKEK6+8svjfLVq04M9//jOLFy9m1apVDB06lOzsbD766COGDBlCSkpKhfe3ps+XiIiIiIiIiIiI/Hzt3LmUoqKfEm68vKy1WfRu1Zv/a/5/8Q6l1ixbtoy9e/dy8sknV3ldSuZJQnn77bcBb1y3999/v8zybdu2UVhYyBdffEHr1q2L53fp0oV//OMfjB49muuuu47mzZuTlZUVMTmZlJRE3759y8wPdDn54YcfFs9bs2YNQNgWfl27dqVt27Z89dVX7Ny5s1S3io0aNeKwww5j165dpeq0a9cOgB07dlR4vz///HN69+5datkxx5TtXzjcNirLOcesWbOYOXMmH330ETt27KCwsLB4eWUSWgF5eXl8+eWXtGvXLmxrtl/96ldR6x977LFh569Zs4Y6deqE7UK0f//+1K1bt9Q57tChA506dWLp0qUUFRVhZixbtowhQ4bQv39/kpKSWLJkCUOHDmXp0qU458JeD7Go6fMlIiIiIiIiIiIiP1/Z2QuoU6cBjRv3j3coxT7b/hkffPsB9w69N96h1BrnHHv37uXdd9+tlvUpmXeAqGqLt1iEa/VV27KzswGv68VofvzxxzLzTjrpJDIyMsjLy+Occ86JOo5b8+bNwyb6Ai3vcnNzi+cF/t2qVauw62rVqhWbN28mNze3VDIv3Hhp4CUSgVIJsVj3e/fu3WXmhdtOuG1U1tVXX80DDzxAq1atOPnkk2nTpk1xa8OZM2fyv//9r9LrzsvLA+DQQw8NuzzS/IBIXVLm5ubStGnTsInGpKQkmjdvzrZt20rNHzx4MI899hhr1qwhOTmZH374gcGDB9OwYUP69OlT3O1m4DXQmq+iavp8iYiIiIiIiIiIyM+Tc47s7AU0bTqUOnVSy69QS7LWZmEYI7uPjHcotcbMilvkvfvuu7Rq1ap3OVWiUjJPEkqjRo0ALxmTkZERsVxoazfnHBdccAF5eXk0b96cf/7zn4wcObK4q8xQ27dvD9ut6HfffVcqjuB/f/fdd3Tu3LnMur799tsydSoq1v2ubdu2beOhhx6ie/fuvPXWW2WSvc8991yV1h/Y1++//z7s8kjzAyL1NdyoUSNycnIoKCgoHpcwYP/+/Wzfvr3McR40aBCPPfYYb7zxRnESMND6btCgQUybNo2cnByWLFlCo0aNyh3PT0RERERERERERKQ2/fjjWvbt+5rMzCnxDqWYc46sdVkM7DiQ1g1bl1/hIBJI6FVH67w61RCPSLU5/vjjAVi5cmWF6t1999289tprjB49mjfffJPk5GRGjRrF9u3bw5bfv38/b731Vpn5y5YtA6BXr17F8wL/DiwL9rSqsUcAACAASURBVMUXX7BlyxY6duwYsSVeLCq73xVVp06dCrX+2rhxI0VFRQwdOrRMIm/Lli1s3LixSvFkZGTQqVMnvvnmGzZt2lRm+apVqyq13l69elFUVMSKFSvKLFuxYgWFhYVlknGDBg3CzFiyZAlvvvkmnTp1Kh6Pb/DgwRQVFfHMM8+wYcMGBgwYUCYRHHiv1nUiIiIiIiIiIiISD9nZCwBo2vS0OEdS4v2t7/NFzheM6j4q3qHUOuccixYtqpZ1KZknCWXs2LEkJydz1VVX8fnnn5dZnp+fXybh9e677zJp0iQOO+wwHnnkEXr06MH999/PN998w5gxY3DOhd3WDTfcwL59+4rf5+TkMHXqVAAuuuii4vkXX3wxAFOnTuWHH34onl9YWMi1115LUVERl1xySeV3msrtd2U0a9aMr7/+OubygXHsVq1aVSpJtXv3bi699FL2799f5ZguuOACioqKuOGGG0qdq6+//poHHqhc97KBc3bDDTewZ8+e4vl79uxhwoQJAGXOWYsWLejWrRv//ve/WbFiRaluNPv27UtaWhp33HEHEH78xGbNmgGwefPmSsUsIiIiIiIiIiIiUhXZ2Qto2PAYUlPDD08UD1lrs0ipm8LZR54d71BqVSCR9+6773Lcccfx7bffflCV9ambTUkohx9+ODNmzODiiy+mW7dunHLKKXTt2pWCggI2b97MypUrOeSQQ3j//fcB2LlzJyNHjsTMmD17dnHrsT/84Q8sWbKEOXPmcN9993HNNdeU2k6rVq3Yt28f3bt358wzz6SgoIA5c+bw7bffcsUVV5TqnrNv375cf/313HXXXXTv3p0RI0bQoEEDXn31VdatW8evfvUrrrvuulrZ708//bRK2xk8eDCzZ8/mjDPOoHfv3iQlJdGvX7+I3ZG2bNmSkSNHMnv2bHr27MnQoUPJzc1l8eLFpKWl0bNnT/7zn/9UKabrr7+eefPmMXv2bD777LPibbzwwgv069ePefPmUadOxX53MGrUKF5++WVeeOEFunXrxllnnYWZMW/ePL766it++9vfMnr06DL1Bg8ezLp164r/HZCamsoJJ5wQdby8wYMHc/fdd3PppZcyYsQI0tPTady4MWPHjq1Q7CIiIiIiIiIiIiIVlZ+/nby8d8jMnBzvUIoVFhUye91shnUZRuO0yvdsdyAyM9LS0jjuuOOKx86rCiXzJOGcd955HHXUUdx7770sXbqU119/nQYNGtC6dWtGjBjBueeeW1z2kksuYdOmTdx333307l16/MjHH3+cDz74gBtuuIETTzyRY489tnhZSkoKb7zxBhMnTmT27Nls376dTp06MWHCBP70pz+VienOO++kV69e/O1vf+Ppp5+moKCAzp07M3XqVK655priMdZqa78r68EHHyzuSnLhwoUUFRUxefLkiMk8gCeeeIJOnTrx/PPPM336dA455BDOPPNMbr31Vs4+u+q/pqhXrx5Lly7l5ptvZs6cOdx///107NiRiRMncuKJJzJv3rxKjSP43HPP0b9/f2bMmME//vEPAI444giuueYa/vjHP4atM3jw4OJjNHDgwDLLlixZwqGHHkq3bt3K1D355JO59957eeyxx7j//vvJz8+nQ4cOSuaJiIiIiIiIiIhIjcvJeRVwNGt2erxDKbZ001K+//F7RvX4+XWxCTBgwACcc5hZldelZJ4kpB49ejBz5syIy3ft2gXAiy++GLFMo0aNoo7p1qhRI6ZPn8706dNjimnkyJGMHDkyprLhxn8LmDJlClOmTAm7rLz9DhZuDL+AMWPGMGbMmDLzW7RoQVZWVtg6mZmZ5OXllRkbr379+tx+++3cfvvtMcUQuEFVROPGjXnooYd46KGHSs1/7LHHAC8JF2zmzJk8/PDDZWINVqdOHa644gquuOKKmOM444wzonbLesMNN0Stf/XVV3P11VeHXVaZ8yUiIiIiIiIiIiISi+zsBaSktCI9vVe8Qyk2a+0sMlIzGNZlWLxDiZvqSOSBxswTkQSwdevWMvO+/vprbrvtNpKSkjj99MT5NYmIiIiIiIiIiIhIIikqKiAn5zWaNRuGWWKkfX4q+IkX//siw48YTr3kevEO54CnlnkiEndnn302BQUF9O7dm8aNG7Np0yYWLFjAnj17mDZtGm3atIl3iCIiIiIiIiIiIiIJKTd3FYWFeQnVxebCDQvZlb+LUd1/nl1sVjcl80Qk7s4//3yeeeYZXnzxRXJzc0lPT+e4445j7NixDB8+PN7hiYiIiIiIiIiIiCSs7OwFmKXSuPHgeIdSbNbaWRza4FAGdRwU71AOCkrmyc9OtPHsJD4qOradiIiIiIiIiIiIiHiysxfQuPEAkpLS4x0KADv37uSVDa/wx2P+SN06deMdzkEhMTpPFRERERERERERERERkQrZs2cDP/30eUJ1sTn3k7nkF+Yzqoe62KwuSuaJiIiIiIiIiIiIiIgcgLKzXwGgWbNhcY6kxKy1s+jcpDN9WveJdygHDSXzREREREREREREREREDkDZ2QuoX78b9ep1jHcoAGzdtZWlXy1ldI/RmFm8wzloKJknIiIiIiIiIiIiIiJygNm/P4/c3OUJ1cXm8+uex+H4XY/fxTuUg4qSeSIiIiIiIiIiIiIiIgeYnJzXcW5/QiXzstZlcXSrozm8+eHxDuWgomSeiIiIiIiIiIiIiIjIASY7ewFJSU3JyDg+3qEA8Hn256zeuprRPUbHO5SDjpJ5IiIiIiIiIiIiIiIiBxDnCsnJWUjTpqdQp05SvMMBIGttFoZxbrdz4x3KQUfJPBERERERERERERERkQNIXt77FBT8kDBdbDrnyFqbxYDMAbTJaBPvcA46SuaJiIiIiIiIiIiIiIgcQLKzFwB1adr05HiHAsDqravZkLNBXWzWECXzRA4QmzZtwswYM2ZMqfljxozBzNi0aVNc4gplZgwYMCDeYUg5Il1PFbVs2TLMjClTplRLXAeLAQMGYGbxDkNERERERERERA5SOTmv0KjRCSQnN413KIDXxWZK3RSGHzE83qEclJTMExE5SCmxWnMSLYkuIiIiIiIiIiI/H3v3bmH37v8kTBebhUWFzF4/m9O6nEaTek3iHc5BKTFGRRSRSps2bRoTJkygTRv1Qyyxa9OmDZ988gmNGjWKdygiIiIiIiIiIiJSATk5rwAkTDJv6aalfLf7O3WxWYOUzBM5wLVq1YpWrVrFOww5wCQnJ3P44YfHOwwRERERERERERGpoOzsBaSldaJ+/cR4vpe1NouGKQ0Z1mVYvEM5aKmbTUk4zjkefPBBjjzySNLS0mjTpg1jx44lNzeXzMxMMjMzw9Z77rnnGDhwIE2aNCEtLY0jjjiCqVOnsm/fvjJlA90Pbt++ncsuu4xWrVqRmppKt27dePLJJyPGtmjRIk477TSaN29OamoqnTt35rrrrmPnzp1lygZizcvL4+qrryYzM5Pk5OTiscW2bt3KrbfeygknnEDLli1JSUmhdevWjBo1ik8++STm4xWuu7/MzEzMLOIUOk7anj17mDZtGieccAINGjQgPT2dX/7ylzz33HNht5mfn89tt91G586dSU1NpWPHjkyaNCnssY7Fu+++y4gRI4qPQ7t27bj88svZunVrqXJz587FzDj++OMpKCgotWzdunXUr1+f1q1bs23btlLHIjMzk9zcXMaOHUubNm1IS0vjyCOP5KGHHsI5FzamF154gX79+tGoUSPq1atHjx49mDZtWth9DGxjz549XHfddbRv357U1FQOO+ww7rzzzojbiHW/oWQMtv3793PHHXfQpUsXUlNTadeuHX/5y1/Iz88vLjtz5szi8dqWL19e6twHrr9IY+Zt2LCBCRMmcMwxx3DIIYeQmppKhw4duOyyy9iyZUvY/aio3Nxcxo8fT9u2bUlLS+Pwww/nvvvuY+PGjVHHhdy4cSMPP/wwv/jFL6hXrx6nnXZacZmioiIeffRR+vTpQ3p6Og0aNKBPnz488sgjFBUVlVpf69atadu2bZm4OnTogJlx2223lZq/cOFCzIybb74Z8O4fTz31FAAdO3YsPrbh7k2B89WzZ8+I50tERERERERERCRWhYV72LHjDZo1O734GWA87d2/lxc/eZHhRwynXnK9eIdz0FLLPEk4V155JY888gitW7fmsssuIyUlhX/961+89957FBQUkJycXKbOJZdcwowZM2jbti3Dhw+ncePGvPPOO9x0000sWbKExYsXk5RU+nLfuXMnJ5xwAikpKYwYMYK9e/cyZ84cLr74YurUqcOFF15Yqvytt97K5MmTadq0KaeffjotWrTg448/5p577mHhwoW8/fbbZGRklKqTn5/PGWecwc6dOxk6dCgZGRl07NgRgBUrVvDXv/6VgQMHcvbZZ5Oens6GDRuYM2cO//rXv/j3v//NUUcdValjOH78+LAJxvnz57NmzRrq169f6jgMGjSIDz/8kJ49e3LxxRdTVFTEokWLGDVqFOvXr2fq1KnF5Z1z/Pa3v+Xll1+mc+fOjB07lvz8fGbMmMHatWsrHOuTTz7JpZdeSmpqKmeeeSbt2rVjw4YNPP7448yfP5933nmH9u3bAzB8+HCuvPJKpk+fzq233soDDzwAeMnIc889l3379vHss8/SokWLUtvIz89nyJAh7Ny5k5EjR5Kfn8+LL77IuHHj+Oyzz5g+fXqp8hMnTmTatGk0b96cUaNGkZ6ezquvvsrEiRNZtGgRixcvLnMdFhQUMHToULZu3cqpp55KUlIS8+bNY8KECeTm5nLHHXdUer+DjRo1ipUrV3LqqaeSkZHBwoULueuuu9i2bVtxIrpnz55MnjyZW265hQ4dOpRKjpU3ht78+fN59NFHGThwIH379iUlJYX169cXx7V69eoqdem6d+9eBg0axJo1a+jVqxejR48mNzeX22+/nZUrV0atO27cOFauXMmwYcM47bTTKCwsLF52/vnnk5WVRbt27fj973+PmfHSSy9xxRVXsGrVKmbNmlVcdtCgQcyaNYtPP/20uHXiF198webNmwFYsmQJN910U3H5N998E4DBgwcDMHnyZObNm8dHH33EuHHjaNy4MUDxa7DA+RoyZAjNmjULe75ERERERERERERitXPnUoqK9tKsWWK0glu4YSF5+/IY1WNUvEM5uDnnNNXw1LVrVxeL//5/9u48rKpqfeD4dzMJioym4hAoOWvhPIIKOY8F5lSKdTMrx7r1y9RwHm6WQ5aa3cAKh6wUxTEJnDWnLHMecMTpoCgq8/r9AefE4RwUFDh4fT/P4wNnrbX3etfaG30eX9ZaR47kqV1huX37tkX7V0qprVu3KkBVr15d3bx501CenJysfH19FaA8PT2NYg0NDVWAeumll9S9e/eM7hcSEqIANXv2bKNyQAHqjTfeUGlpaYbyv//+W1lbW6tatWoZtf/tt98UoJo3b24UV/b+R44caVTu6empANWmTRuVmJhoMtarV6+anfM//vhDlSpVSnXs2NGo/OzZswpQAwcONCofOHCgAtTZs2dN7pXdpk2blI2NjXruuefU9evXTa6fMWOGUTz3799XHTp0UJqmqYMHDxrKw8PDFaCaNWum7t+/byjX6XSqatWqClCtW7d+YCx6x48fV7a2tsrb21tdvHjRqC4qKkpZWVmpnj17GpUnJSWp+vXrK03T1Pr165VSSgUHBytAffLJJyZ96J9Dy5YtVVJSktl4t2zZYijfuXOnAlTlypVVXFycoTw1NVV17dpVAWrKlClm++jUqZPRO3j16lXl7OysnJ2dVUpKymONu3Xr1gpQDRo0UDqdzlCemJiovL29lZWVlVG8SqkHPovc3qdjx44ZzZPexo0blZWVlRoyZIhReXR0tAJUSEiI2X5ymjhxogJUnz59VEZGhqH8/PnzqkyZMg98xytUqKDOnDljKNe/r0uWLFGAql+/vrpz546hPjExUTVs2FABKjw83FD+3//+VwFq3rx5hrIFCxYoQLVr107Z2dmpu3fvGup8fHyUg4ODSk5ONokpt5+7nM9LH+uDnlduivrfhujo6CLt73FIrIXjSYn1SYlTKYm1sEishUNiLRwSa+GQWAuHxFrwnpQ4lZJYC4vEWjgk1sIhsRaOgoz1+PEhasuWUio93fT/8ApCfmN9efnLqtyn5VRqemqhxPMgT9I7AOxTj5FnkpV5T4iRG0byx5U/CrWP9PR0rK2tH/l6n/I+zO44+7Fi0G9dN2bMGKNVLnZ2dkybNo1WrVqZXDNnzhxsbGz49ttvcXAwXsY7btw45s2bR3h4OCNGjDCqK1myJJ9//rnRmGvXrk3Lli3ZunUrd+7coXTp0gDMnTsXgEWLFpmsvgkODmbOnDmEh4cza9Ysk/imTJlCqVKlTMpzrh7Te+GFF/D392fTpk25rkTMr8OHDxMUFISzszPr1q2jTJkyAOh0On744QcaNWrEhx9+yJ07dwzX2NvbM2PGDDZu3MiSJUvw8fEBMKwmmjp1Kvb29ob2bm5ujBs3jkGDBuU5rvnz55OamsqcOXNMVnv5+/vTvXt31qxZY/QsSpQowfLly2nQoAEDBgzgww8/JCwsDD8/P8M2iOZMmzaNEiVKmI03NDQUPz8/AL799lsAxo4dS/ny5Q3tbWxs+Oyzz1i3bh3ffPMNH3/8sUkfc+fONXoHy5YtS48ePfjuu+84fvw4devWfeRx682YMQM3NzfD51KlStG/f38mTpzIvn376Nr18Q69rVChgtE86bVv3546deqwcePGx7r/4sWLsbKyYtq0aUbbAFSuXJmRI0cyduzYXK/98MMPDStbs9M/s+nTp+Po6GgoL1WqFDNmzODFF1/km2++oV+/zN8O0q+wi4qK4t133zV8X7ZsWYYPH86vv/7K9u3bad++PTqdjkOHDvHiiy9iZ2eX7/Hqn5f+Z6ugn5cQQgghhBBCCCGEeHoopdDpInFza4+Vlen/4RW1W0m3WHtiLW81fAsbK0k3FSaZXVGsHDx4EMBs0q5Zs2YmW2Xeu3ePQ4cOUaZMGcOWizmVKFHC7Bl01apVM9kWEzKTCpC5/aQ+kbJr1y5sbW1ZsWIFK1asMLkmJSWF69evo9PpcHd3N5Tb29sbEjjmrF27lgULFrBv3z5u3LhBWlqaUf2NGzfw8PDI9fq8iIuLo0uXLiQnJxMZGUm1atUMdXv37iU9Pd1wllpycrJRIkd/Ll32+Ttw4ABWVlZmn9HDtnDMadeuXUDmuW579+41qb927Rrp6emcOHGChg0bGsqrVavG7Nmz+de//sUHH3xAmTJlWLJkSa7JaBsbG1q0aJFrvPr3DjLHB5lJtZyqV69OpUqVOHv2LLdu3TJK7Do7O/Pcc8+ZXKN/n27evPnY4wZo1KhRnvp4VEopfvjhB8LCwjh06BA3b9402s7yURJaerdv3+b06dNUrlzZ7Ply5t6p7Jo0aWK2XP9Omnv/WrdujbW1tdEz9vT0pGrVqkRHR5ORkYGmacTExPDiiy/SunVrbGxsiIqKon379kRHR6OUMvs+5EVhPy8hhBBCCCGEEEII8fS4e/cvkpMv4uU1wdKhALDy6EqS05Nli80iIMm8J8TjrnjLC3OrgIpaQkICAOXKlTOps7a2NkqUQeZ/hiuluH79OhMm5O8vMHPnWwGGhGH2BIZOpyMtLe2hfSQmJhrFWLZs2VwPIZ07dy4jRozA1dWVdu3a8eyzz1KyZEk0TTOcx5WcnJyvMeV09+5dunbtyoULFwgPD8fX19eoXqfTAZlJPXNJpezj0ktISMDNzc3sisHsK9nyQt//p59++sB22fvX8/f3x8nJidu3b9OrV68HnuNWpkwZs4k+fbz69y7797klUT08PDh//jwJCQlG71B+3yd4tHGb68dcH49q9OjRfPXVV3h4eNChQwcqVqxoWG0YFhbGuXPnHvnet2/fBsz/fD+oXC+390v/TppLNNrY2FCmTBmuXbtmVB4QEMCiRYs4cOAAtra2XL9+nYCAAEqXLk3jxo2JiooCMHzVr+bLr8J+XkIIIYQQQgghhBDi6aHTRQLg5tbZwpFkCv8rHG9Xb5pUNP9L+KLgSDJPFCv6lXJXr16latWqRnXp6enodDqjpI2zszMA9evXN6yoKgzOzs5kZGQQHx+fr+tyS+SlpaUREhJC+fLlOXDggEniSL9y63FkZGTQt29fDhw4wJQpU+jbt69JG/38jRo1is8//zxPCV1nZ2fi4+PNbgF65cqVfMWo7z8hIcHsKsncKKUYPHgwt2/fpkyZMnz99df06dPHsFVmTjdu3DC7jaw+Xn0c2b+/cuUK3t7eJveKi4szuSa/HnXche3atWssWLCAunXrsnPnTpN3YenSpY91/+w/3+bkVq6X28/Tg97JtLQ0bty4YTLP/v7+LFq0iM2bNxuSgPrVd/7+/kybNo34+HiioqJwdnamQYMGDx+gEEIIIYQQQgghhBCFSKeLpHTpxpQokb9FFYUh7k4cv539jbF+Y3P9fztRcKwsHYAQ2dWvXx+A7du3m9Tt3r3bZBtKR0dH6tSpw99//53vRFt+NGvWjJs3b/L3338XyP1u3LjBrVu3aNGihUkiLzExsUASkyNHjmTNmjW8/vrrZs93g8xtC62srNi2bVue79ugQQMyMjLMPqOYmJh8xdisWTOAfPUPmSvaNm/eTP/+/fntt9+wtbWlX79+3Lhxw2z7tLQ0du7cmWu8+vcu+/fmxnLq1CkuXrxIlSpVcl2JlxePOu78srKyytfqrzNnzpCRkUH79u1NEnkXL17kzJkzjxWPk5MTVatW5dKlS8TGxprUm3un8qJ+/fpkZGSwdetWk7qtW7eSnp5ukozz9/dH0zSioqL47bffqFq1quE8voCAADIyMvj+++85efIkbdq0MUkE6z/L6johhBBCCCGEEEIIURRSUq5z+/Zu3N27WjoUAJb/vRyFki02i4gk80SxMmDAAACmTJlitPVhSkpKrgmp9957j5SUFF5//XVu3bplUn/z5s3HTo6NGjUKgDfffJPLly+b1N+9e5fdu3fn+X5ly5alZMmS7N+/32grxdTUVEaMGJFrUiqvZs+ezRdffEFAQAALFix4YBz9+/dn3759TJo0ySRZCnD69GnOnj1r+Dxo0CAAxowZQ1JSkqE8Pj6eyZMn5yvOoUOHYmtry6hRozhx4oRJfUpKiknCa8+ePYwdO5aqVasyf/586tWrx6xZs7h06RLBwcEopcz2NXr0aKNtS7PHqx8TwOuvvw7A5MmTuX79uqE8PT2df//732RkZPDGG2/ka5w5Pcq4H4W7uzsXLlzIc3v9OXbbt283SlIlJiby5ptvmn0/8mvAgAFkZGQwevRoo2d14cKFXM+9fBj9Mxs9ejT37t0zlN+7d4+PPvoIwOSZlS1bljp16rBjxw62bt1qtI1mixYtsLe3Z+rUqYD58xP12+meP3/+kWIWQgghhBBCCCGEECI/4uPXAwp39y6WDgXI3GKzgUcDapapaelQngqyzaYoVlq3bs3gwYP5+uuvqVOnDoGBgdja2rJmzRqcnZ2pUKECVlbGOejXX3+d/fv389VXX+Ht7U2HDh149tlniY+P5+zZs2zdupVBgwY9MKn1MAEBAUyfPp3Ro0dTrVo1OnfuTJUqVUhMTOTcuXNs2bKFVq1asWHDhjzdz8rKiuHDhzN9+nTq1atHjx49SElJITo6mvj4eNq2bUt0dPQjxXrlyhXef/99NE2jXr16TJkyxaSNj48PPXv2BGDevHmcPHmSTz75hMWLF+Pn50e5cuW4fPkyR48eZe/evSxdutSwaqlv374sX76c1atXU7duXXr06EFqaio//fQTjRs35vTp03mOtWbNmnz77be8/vrr1KlTh44dO1K9enVSU1M5f/4827Zt45lnnuHYsWMA3Lp1iz59+qBpGqGhoYbVY0OGDCEqKoqffvqJzz//nPfff9+oHw8PD5KTk6lbty7du3c3xBsXF8c777xjtD1nixYt+PDDD/nPf/5D3bp1CQoKolSpUqxfv57Dhw/TqlUrPvjgg/w9lMcc96MKCAhg2bJldOvWjYYNG2JjY4Ofn1+u25GWL1+ewMBAfv75Z3x8fGjfvj0JCQn8+uuv2Nvb4+Pjwx9//PFYMX344YesWrWKZcuWcfz4cUMfP/74I35+fqxatcrkZ/xh+vXrR0REBD/++CN16tShZ8+ehrMnz549yyuvvEL//v1NrgsICODw4cOG7/VKlChBy5YtH3heXkBAAJ9++ilvvvkmQUFBODo64uLiwtChQ/MVuxBCCCGEEEIIIYQQeaHTRWJn54GjY/2HNy5kJ3Qn2Hd5HzPbzbR0KE8NSeaJYmf+/PnUrFmThQsXsmDBAtzd3XnppZeYOnUqlSpVMnuO2ZdffkmnTp1YsGABmzdv5tatW7i5ufHss8/ywQcf8Oqrrz52XP/3f/9Hy5YtmTt3Ltu3byciIgJnZ2cqVqzI4MGD6dcvf8uJJ02axDPPPMM333zDwoULcXZ2pl27dkyePJmQkJBHjjMpKYmMjAyAXFc6DRw40JDMc3JyYsuWLXz99dd8//33/PzzzyQlJVGuXDmqVavGrFmzaNeuneFaTdNYsWIF06dPJywsjHnz5uHh4cGgQYP45JNPsLe3z1e8r776Ki+88AKfffYZ0dHRbNq0iVKlSlGhQgWCgoLo3bu3oe0bb7xBbGwsn3/+udHWmADffPMN+/fvZ/To0fj6+tKkyT+HrtrZ2bF582Y+/vhjli1bxo0bN6hatSofffQRw4YNM4lpxowZ1K9fn3nz5vHdd9+RmpqKt7c3kydP5v333zecsfY48jPuRzVnzhzDVpLr1q0jIyODkJCQXJN5kPmzVKNGDZYvX86XX37JM888Q/fu3Zk4cSKBgYGPHZODgwPR0dF88skn/PTT5gLHygAAIABJREFUT8yaNYsqVarw8ccf4+vry6pVqx7pHMGlS5fSunVrvv32WxYuXAhArVq1eP/993n77bfNXhMQEGCYo7Zt25rURUVFUa5cOerUqWNybYcOHfjss89YtGgRs2bNIiUlBU9PT0nmCSGEEEIIIYQQQogCl5GRSnz8RsqWfQVNs/yGi0v/WoqGRp+6fSwdytNDKSV/CvlP9erVVV4cOXIkT+0Ky+3bty3a/8OcOHFCAapPnz7FPtbsJNbCkddYPT09laenZ+EG8xD/i/NaGL7++msFqAULFuSp/dMyr0X9b0N0dHSR9vc4JNbC8aTE+qTEqZTEWlgk1sIhsRYOibVwSKyFQ2IteE9KnEpJrIVFYi0cEmvhkFgLx+PGGh//m4qORl2/vqpgAnqAh8WakZGhqn9RXbUNa1vosTzMk/QOAPvUY+SZLJ/CFSKHK1euGFaW6d27d4+RI0cC8NJLL1kiLCFEATF37uSFCxeYNGkSNjY2dO1aPA7xFUIIIYQQQgghhBCiONDpItG0Eri4mB4HU9T2x+3nhO4E/erlb6c68Xhkm01R7MyePZulS5fSpk0bPDw8uHLlClFRUVy8eJFOnTrRq1cvEhMTLR2mEOIRBQYGkpqaSsOGDXFxcSE2NpbIyEju3bvHtGnTqFixoqVDFEIIIYQQQgghhBCi2NDpInF1bYuNjaOlQ2HJX0uwtbIlsNbjH8kj8k6SeaLYadeuHYcOHWLTpk3Ex8djY2ND9erVGT58OCNHjkTTNEuHKIR4DK+99prhfMaEhAQcHR1p2rQpQ4cO5eWXX7Z0eEIIIYQQQgghhBBCFBv37p3g/v0TVKo03NKhkJ6RzrLDy+hcrTOuDq6WDuepIsk8UewEBAQQEGD55cLif0NsbKylQxA5vPPOO7zzzjuWDkMIIYQQQgghhBBCiGJPp1sLgJtbFwtHAjGxMcQlxtG/Xn9Lh/LUkTPzhBBCCCGEEEIIIYQQQgghiiGdLpKSJevg4OBl6VBY8tcSHO0c6Vq9q6VDeepIMk8IIYQQQgghhBBCCCGEEKKYSUtLICFhK+7ulk+eJaUl8fPRn3m51ss42DpYOpynjiTzhBBCCCGEEEIIIYQQQgghipn4+E0olVYsknnrTq4jITlBtti0EEnmCSGEEEIIIYQQQgghhBBCFDM63VpsbNxwcmpm6VBY8tcSypYqi38Vf0uH8lSSZJ4QQgghhBBCCCGEEEIIIUQxolQ68fHrcHPrhJWVjUVjSUhKIPJEJL3r9MbGwrE8rSSZJ4QQQgghhBBCCCGEEEIIUYzcvr2X1NTrxWKLzZXHVpKcnixbbFqQJPOEEEIIIYQQQgghhBBCCCGKEZ0uErDGza2DpUMh/K9wqrpWpUnFJpYO5aklyTwhhBBCCCGEEEIIIYQQQohiRKeLxNm5Jba2rhaNI+5OHL+d/Y1+dfuhaZpFY3maSTJPCCGEEEIIIYQQQgghhBCimEhKusDdu4eKxRabP/79Ixkqg371+lk6lKeaJPPEE8XLywsvLy9Lh/E/KTg4GCcnJ2JjYy0dionU1FRCQkKoVq0aJUqUQNM0IiMjiY2NRdM0goODLR1ioYuJiUHTNMaPH/9Y9wkLC0PTNMLCwgokLiGEEEIIIYQQQgghRMHS6dYCFItkXvhf4dQvX59az9SydChPNUnmiaeSpmm0adPG0mE80dq0aVNky6o/++wzJk6cSIUKFfj3v/9NSEgI1atXz7V9cHAwmqYVy8SkEEIIIYQQQgghhBBCPIhOF4m9fVVKlqxp0ThO6k6y9/JeWZVXDNhYOgAhhHiYyMhIHB0d+fXXX7GzswPgzp072Nvbc/ToUZydnS0coRBCCCGEEEIIIYQQQjy+9PR73LoVhYfHYIufUbf08FI0NPrU7WPROIQk84QQT4DLly/j7u5uSOTp2draUrOmZX87RQghhBBCCCGEEEIIIQrKrVvRZGQkWXyLTaUU4X+F09qrNZWcKlk0FiHbbIpiSCnFvHnzqFOnDvb29lSsWJGhQ4eSkJBgtn1CQgKffvop/v7+VKpUCTs7O5555hm6d+/O7t27jdrqzwsD2LJlC5qmGf5kP4ssLCyMwMBAqlatioODA05OTrRs2ZIffvghX2MZP348Tk5OxMTEmNTldt7b1atX+fe//02NGjUoVaoULi4u1KhRg+DgYM6cOWNyn40bN9K5c2fKlClDiRIl8Pb25oMPPuDWrVtmY9q8eTO+vr6UKlUKNzc3evbsybFjx/I8Jn3cW7ZsATCaw5xbl+7fv5/AwEDKli1LiRIl8PT05J133iEuLi5Pfem3yzx79iznzp0z9KM/N9HcHGqaxuLFiwGoUqWKyTUPkv08uV9//RVfX18cHR155plnGDRokGFODx48SNeuXXF1dcXR0ZHu3bvnuqXnyZMnGTx4MBUrVsTOzo4KFSowYMAATp48abb91atXeeONNyhXrhwODg74+PgYxpOb+Ph4Ro8eTa1atXBwcMDZ2ZmAgAA2bdr00DELIYQQQgghhBBCCCGKD50uEmtrR1xc/Cwax4G4A5zQnaBfXdlisziQlXlPI6Ug+/LcnJ8tbOTIkcydOxcPDw8GDx6Mra0tERER7Nmzh5SUFJPVWUePHmXMmDH4+fnRpUsXXF1dOX/+PKtXr2b9+vWsWbOGjh07AuDj40NISAgTJkzA09PTKAmUPRH19ttvU7t2bfz8/PDw8ECn07Fu3Tpee+01jh8/zqRJkwpl7Pfu3aNly5acPn2adu3a0a1bN5RSnDt3joiICIKCgqhataqh/cSJEwkJCcHNzY2uXbtStmxZ/vzzT2bOnMm6devYtWsXTk5OhvY//fQTvXv3xs7Ojt69e+Ph4cH27dtp3rw5zz//fJ5idHFxISQkhLCwMM6dO0dISIihLnvCLDIyksDAQJRSBAUF4enpyf79+5k/fz4RERHs2LHjoQm2nj174uXlxezZs4HMd0MfQ25CQkJYtWoVhw4dYsSIEYa2D7omp9WrVxMZGUnXrl0ZMmQIO3fuJCwsjLNnzzJ9+nQCAgLw9fXljTfe4K+//mLNmjWcPn2av/76Cyurf35HYu/evbz44ovcuXOH7t27U7t2bY4dO0Z4eDgRERFERUXRqFEjQ3udTkeLFi04c+YMrVq1olWrVsTFxTFkyBDat29vNtZz587Rpk0bYmNj8fX1pWPHjty9e5fIyEg6duzIwoULefPNN/M8diGEEEIIIYQQQgghhGUopdDpInF1bY+VVQmLxrLkryXYWtkSWDvQonGITJLMe9qMHw+3bsGsWZkJPKVg1ChwcYH337d0dOzcuZO5c+fi7e3N77//jpubGwBTpkyhbdu2xMXF4enpaXRNrVq1uHz5MmXKlDEqv3jxIk2aNGHUqFFGyTwfHx8mTJiAl5eX0Wq87A4fPoy3t7dRWUpKCp06dWL69OkMGTKEihUrFtCo/xEVFcXp06cZOXIks2bNMuk/OTnZ8Dk6OpqQkBCaN2/OunXrjJJVYWFhDBo0iJCQEMN9EhMTeeutt7CysmLbtm1GSaRRo0YZEmYP4+Liwvjx44mJieHcuXNm5zAxMZHg4GDS0tKIiYnB19fXUDdjxgw++ugjBg8e/NCVYz179qRnz56EhYUBGPV1584ds9eMHz+e2NhYDh06xMiRI/O0Ii+n1atXExUVRevWrQHIyMigQ4cObN68mc6dO/P111/Tv39/Q/s33niDb7/9ljVr1tCjRw8g8x/eAQMGcPv2bRYtWsS//vUvQ/vly5fTp08fXn31VY4cOWJIAI4ePZozZ86YPP+hQ4fSvHlzs7EOHDiQc+fOsXTpUvr0+Wfv6lu3btGmTRuGDx9O9+7dKVeuXL7nQQghhBBCCCGEEEIIUXTu3v2T5OSLeHlNsGgc6RnpLPt7GZ2rdcbNwc2isYhMss3m00SpzETenDmZCTx9Im/OnMxypSwdIaGhoQCMGTPGkMgDsLe3Z9q0aWavcXZ2NknkAVSqVImgoCCOHTvG+fPn8xVHzkQegJ2dHe+++y5paWlERUXl63755eDgYLb/0qVLGz7PnTsXgEWLFpmsOgsODsbHx4fw8HBDWUREBPHx8fTr188okQeZCTBnZ+cCiz8iIgKdTkfv3r2NEnkA77//Pl5eXvz666/5fi5FpW/fvoZEHoCVlRWvvfYaAHXr1jVK5AEMGDAAgD/++MNQtnPnTo4dO0bz5s3p3bu3UfvevXvTqlUrjh8/zvbt2wFITU0lPDyc0qVLmyRIGzVqZNInwKFDh9iyZQuBgYFGiTzITLpOmDCBpKQkfv7553zOgBBCCCGEEEIIIYQQoqjpdJEAuLl1tmgcW85t4fKdy/SrJ1tsFheyMu9pommZK/IgM4E3Z07m9yNGZJYnJloutiwHDhwAMEqk6Pn6+mJjY/6V3bFjB3PmzGHXrl1cu3aNlJQUo/pLly7x7LPP5jmO8+fPM2PGDKKiojh//jz37983uV9haN26NRUrVmT69OkcOHCAzp0707JlS3x8fLC2tjZqu2vXLmxtbVmxYgUrVqwwuVdKSgrXr19Hp9Ph7u7+wLl1dnbGx8fHcA7e49L35e/vb1JnY2ODn58fsbGxHDx4MF/PpajkTHYCVKhQAYCGDRua1OlXaV68eNFQ9qA50Jdv376dgwcP4ufnx7Fjx7h37x6+vr5mE6tt2rQxOTtv165dQOa5keZWSF6/fh3I3IpWCCGEEEIIIYQQQghRvOl0kZQu3ZgSJcpbNI4lfy3B0c6RrtW7WjQO8Q9J5j1t9Ak9fSIP/tlysxhISEgAMLsloLW1Ne7u7iblK1euJCgoCHt7e9q1a4e3tzelSpXCysqKmJgYtmzZYrQ95cOcOXOGJk2acPPmTXx9fWnfvj3Ozs5YW1sTGxvL4sWL83W//HBycmL37t2EhISwevVqNm7cCECZMmV45513GDt2LLa2tkDm+WppaWlMmPDgJdeJiYm4u7s/cG4BypcvuH8g9H15eHiYrdeX37p1q8D6LEjmkmn6RPKD6lJTUw1l+Z2DR3k+Op0OgF9//ZVff/3V7HWQ+Q4IIYQQQgghhBBCCCGKr5SU69y+vQcvr/GWjSMjhZ+O/MTLtV6mpG1Ji8Yi/iHJvKeNfmvN7EaN+mfFnoXpEyVXr16latWqRnXp6enodDqTs+rGjRuHnZ0d+/bto1atWkZ1b731Vr5Xm33++efodDpCQ0MJDg42qlu6dKnJ6qgH0Z+FlpaWZlKXWyKrUqVK/Pe//0UpxZEjR/jtt9/48ssvmThxIhkZGUyaNAnInKuMjAzi4+PzFEv2uTXnypUrebpPfvrK7Z5xcXFG7f4X5XcOHuX56K+ZM2cOw4cPf7yAhRBCCCGEEEIIIYQQFhMfvx5QuLtbdjXcnvg9JCQn0K+ubLFZnMiZeU+T7GfkjRgBGRmZX7OfoWdhDRo0ADCbgNu2bZvZpNipU6eoXbu2SSIvIyPDcB5ZTlZWVqSnp5utO3XqFACBgYEmdflNDLq6ugJw4cIFk7p9+/Y98FpN06hTpw7Dhg0zrLpatWqVob5Zs2bcvHmTv//+O0+xPGhuExISjM57ywv9tp/m5rF+/foAxMTEmNSlpaUZnos+poL2oNiKyoPmIHu5fg5q1qxJyZIl+eOPPwyr9My1z65Zs2ZA5s+GEEIIIYQQQgghhBDiyaXTRWJnVwFHx/oWjSPqahRlS5UloGqAReMQxiSZ9zTRNHBx+eeMPP2WmyNGZJYXg6029SvhpkyZYrTiLCkpidGjR5u9xsvLi5MnT3L58mVDmVKKCRMmcOTIEbPXuLu7m02w6e8HpsmTjRs38s033+RxJJmaNGkCQGhoqFEi8sKFC0ycONGk/eHDh4mNjTUp16/WKlnyn2XNo7JWWL755ptGY9e7e/cuu3fvNnzu0aMHrq6uLFmyxCSROH78eLMJpAfRb3l6/vx5k7qePXvi5ubG0qVLjWIAmD17NmfOnOHFF18stPPyHhRbUWnZsiU1atRg+/btRklYgJ9++omtW7dSvXp1WrVqBYCtrS39+/fnzp07Juff7du3j/DwcJM+GjVqhK+vL7/88gvffvut2Tj++usvrl27VjCDEkIIIYQQQgghhBBCFLiMjBTi4zfi7t4FzYL/T387+TY7dTvpXac3NlaysWNxIk/jaTN+fOYKPP1fCPqEnqbBnTsWDQ0yEyDDhg3jiy++oG7dugQFBWFra0tERASurq5mzx8bNWoUQ4YMoX79+gQGBmJra8uOHTs4cuQI3bp1Y82aNSbXBAQEsGzZMrp160bDhg2xsbHBz88PPz8/3nnnHUJDQ+nVqxeBgYFUrFiRw4cPs2HDBl555RWWL1+e5/E0bdqUli1bsm3bNpo0aYK/vz9Xr15lzZo1dOjQwSShuHnzZt577z1atGhBzZo1KVu2LBcvXiQiIgIrKys++OADozFMnz6d0aNHU61aNTp37kyVKlVITEzk3LlzbNmyhVatWrFhwwYAHB0d+frrr+nduze+vr707t0bDw8Ptm/fzuHDh/Hz82Pr1q15HltAQAArVqzg5ZdfpnPnzjg4OODp6clrr72Go6Mj3377Lb169aJ169b06tWLZ599lv3797Np0ybKly/PwoUL89xXfgUEBPDpp5/y5ptvEhQUhKOjIy4uLgwdOrTQ+sxJ0zQWL15Mu3btCA4OZuXKldSsWZPjx4+zatUqSpcuzXfffWfYihVg6tSpREVFMXv2bPbt20erVq2Ii4tj+fLldO7cmdWrV5v0s2TJEvz9/XnjjTeYO3cuTZs2xcXFhYsXL/Lnn39y+PBhdu3aRdmyZYts7EIIIYQQQgghhBBCiLxLSNhOevpt3N27WDSOX47+QqpKpV892WKzuJGVeU+jnJn9YrAiL7s5c+bwxRdf4OzszMKFC1m6dCkdOnRg8+bN2NnZmbR/6623CA0NxcPDg8WLFxMeHk7lypXZs2dPrts4zpkzh759+/L7778zadIkxo0bx2+//QbA888/T3R0NC1atGDdunXMnz+f27dv88svvzBkyJB8j2fp0qX861//4uLFi3zxxRccPHiQ//znP8yYMcOkbYcOHRg5ciRJSUlERETw2WefsXXrVtq1a8e2bdsICgoyav9///d/bN26lS5durBjxw5mz57NihUruHTpEoMHD2by5MlG7YOCgtiwYQMNGzbkxx9/ZMGCBbi5ubFr1y6qVKmSr3H961//YvTo0SQkJPCf//yHcePG8d///tdQ36NHD3bs2EHnzp3ZuHEjM2fO5OjRowwZMoT9+/ebnIlYkDp06MBnn32Gra0ts2bNYty4ccycObPQ+stN06ZN2bt3L7169WLXrl18+umn7Ny5k759+7J3716aNm1q1L5MmTLs2LGDQYMGcezYMWbPns0ff/zB/PnzDSsxc6pUqRL79+9nypQpWFtbEx4ezty5c9m5cyfPPvssCxcupF69ekUxXCGEEEIIIYQQQgghxCPQ6SLRtBK4uFh2a8slfy3Bw96DphWbPryxKFKyMk8UO5qmMXToULOrqPRbUN7JsYowODjYsEVndvXq1TPZshCgbNmyLFmyJNcYWrRoYUju5aTyebagi4sLixYtYtGiRQ+9V61atfj888/zdf9WrVoZtmrMi3bt2tGuXTuT8rCwML744gtKly6dp/tYW1szdepUpk6dmmubxo0bs3LlyjzHlhtzW49C5paouT2P9957j/feey9f/eT2HgG0adMm174eFEeNGjVYtGhRnue1fPnyuW6ZmVsfpUuX5uOPP+bjjz9+6P0fNEYhhBBCCCGEEEIIIUTR0+kicXVti42No8ViuJBwgaizUfSr3M+iW30K82RlnhBCCCGEEEIIIYQQQgghhAXcu3eC+/dP4u7e1aJxfL3/a5RSdPGw7FafwjxJ5gkhhBBCCCGEEEIIIYQQQliATrcWADc3yyXRUtJTWHRgEV2qd6G8fXmLxSFyJ8k8IYQQQgghhBBCCCGEEEIIC9DpIilVqi4ODl4Wi+GXo79w9e5V3m38rsViEA8myTwhhBBCCCGEEEIIIYQQQogilpaWQELCVotvsfnl3i/xdvWmvXd7i8YhcifJPCGEEEIIIYQQQgghhBBCiCIWH78JpdIsmsz78+qfbD+/nbcbvY2VJimj4kqejBBCCCGEEEIIIYQQQgghRBHT6SKxsXHDyamZxWKYv3c+9jb2BPsEWywG8XCSzBNCCCGEEEIIIYQQQgghhChCSqUTH78ON7dOaJq1RWJISErg+z+/p0/dPriXdLdIDCJvilUyT9M0X03TftY0LU7TtOSsr5s0Tetspm0LTdPWaZoWr2naPU3T/tQ0baT2gLde07SumqbFaJqWoGlaoqZpezRNG/iQmAZqmvZ7VvuErOstu4GtEEIIIYQQQgghhBBCCCGeWLdv/05q6g2LbrH5/Z/fczf1Lu82ftdiMYi8KTbJPE3TxgJbAT9gA/AZsAZwBdrkaNsjW9uVwJeAHTALWJbL/Ydm3a8u8AOwCKgAhGmaNjOXa2YCYYBHVvsfgHrAmqz7CSGEEEIIIYQQQgghhBBC5ItOFwlY4+bWwSL9K6X4au9XNK7QmEYVGlkkBpF3NpYOAEDTtF7AJGAz8LJS6k6Oetts3zuRmVhLB9oopfZllY8DfgOCNE3ro5Ralu0aL2AmEA80UkrFZpVPBPYC72ua9rNSale2a1oA7wOngcZKqZtZ5Z8C+4GZmqZF6u8lhBBCCCGEEEIIIYQQQgiRFzrdWpydW2Fr62qR/mNiYzh64yhhPcIs0r/IH4uvzNM0zQqYAdwD+uVM5AEopVKzfQwCngGW6RN5WW2SgLFZH9/OcYvXgRLAvOzJt6wE3dSsj0NyXKP/PEWfyMu6JpbMlYAlgEEPH6EQQgghhBBCCCGEEEIIIUSmpKQL3L17yKJbbH617yvcHNx4pc4rFotB5J3Fk3lAC6AKsA64qWlaF03T/k/TtBGapjU3094/6+sGM3VbyUwKttA0rUQer1mfo83jXCOEEEIIIYQQQgghhBBCCJErnW4tgMWSeZduX2Ll0ZW87vM6DrYOFolB5E9x2GazcdbXq8ABMs+kM9A0bSsQpJS6nlVUI+vriZw3UkqlaZp2FqgDVAWO5uGaOE3T7gKVNE0rqZS6p2laKaAikKiUijMT88msr9XzMkAhhBBCCCGEEEIIIYQQQgjIPC/P3r4qJUvWeHjjQrDowCIyVAZDGuXcsFAUV5pSyrIBaNo04CMyz8A7S+b2lnsAT+AzoAOwRSnVJqv9CaAaUE0pdcrM/XaQudqvhf4MPE3TUgBbwFYplWbmmktABaBCVnKvAnAJuKSUqmSmvS2QAqQopUrkrM9qMxgYDPDMM880/PHHHx86F87Ozjz33HMPbVdY0tPTsba2tlj/eVG3bl0ADh06VOxj1XsS5lWvuMYaHh7O22+/zfz58+nfvz9QvGJdsWIFc+bM4cyZMyQmJvL2228zY8aMp+p9dXJyolWrVqxbt+6R+z537hz16tWjX79+LFiw4KHti9M78DCPE+upU6dISEgo4Ihyl5iYiKOjY5H19zgk1sLxpMT6pMQJEmthkVgLh8RaOCTWwiGxFg6JteA9KXGCxFpYJNbCIbEWDom1cBjHmgT0ALoCw4o8lrSMNPrs6cNzjs8xvd50k/ond16Lt7Zt2+5XSjV65BsopSz6B/gPoMhM5r2Qo84BuJBV3zyr7ETW5+dyud/OrPpm2cpSsspscrnmclZ9+azPFbI+X8ylvW1WfVJexli9enWVF0eOHMlTu8Jy+/Zti/afF56ensrT0/OxYwVU69atCyaohyjseQ0NDVWACg0Nfex7Fdd3wNwYHxRrSEiIAlR0dHShx7Zz506laZry9vZWH3zwgQoJCVHr169XSpl/XwvyeRWGR30HCuJn6uzZswpQAwcOzFP74vq+mvM4sRb1vw1F8XNTUCTWwvGkxPqkxKmUxFpYJNbCIbEWDom1cEishUNiLXhPSpxKSayFRWItHBJr4ZBYC0f2WK9fX6Oio1E63SaLxPLj4R8V41GRxyPN1j+p81rcAfvUY+TSisM2mzezvp5RSh3KXqGUuq9p2kbgDaAJsAvQL09wzuV+Tllfsy9jSADKZF2je8A1t3Ncm1sfzjnaCSGeUmvXrkUpxXfffUeLFi2M6qKioiwUlRBCCCGEEEIIIYQQojjS6SKxtnbExcXPIv1/ufdLvFy86PhcR4v0Lx6NlaUDAI5nfb2VS70+2ac/hVHf3uS8Ok3TbIAqQBpwxkwf5q7xAEqRuQrvHoBS6i6Z22w6ZtXnVC3rq8kZfEKIp8vly5cBqFChgkmdt7c33t7eRR2SEEIIIYQQQgghhBCiGFJKER+/FlfX9lhZmT3Bq1D9fe1vtpzbwtuN3sba6sk4vkZkKg7JvK1kJt+qaZpmZ6a+btbX2Kyvv2V9NZc29gNKAjuVUsnZyh90TaccbR7nGlEAlFLMmzePOnXqYG9vT8WKFRk6dGiuZ0YlJCTw6aef4u/vT6VKlbCzs+OZZ56he/fu7N6926htWFgYmqYBsGXLFjRNM/wZP368UbvAwECqVq2Kg4MDTk5OtGzZkh9++CFfYwkLC8PJyYmwsDCio6Np06YNpUuXxsnJiS5dunD06FGz18XFxfHuu+/i5eVlGM/LL7/M/v37jdq1adOGQYMGATBo0CCj8cTGxj4wtpiYGJNxZ+fl5YWXl5dRWUpKCnPnzqVBgwa4urpSsmRJvLy86NGjB5s3bza5x7FjxwgODqZy5cqUKFGCcuXK0a9fP44fP27SFjLPBuvVqxeurq6UKlWKFi1asHbt2geOw1zcEyZMAKBt27ZGc5JdXuc4N/p3KTQ0FIAqVaqYzH3OOXyc5xUbG4umaQQHB3P69GmCgoJwd3endOnStG/fnsOHDwNw/fp1Bg8ejIeHB/b29jRu3Jjf8dSRAAAgAElEQVTo6Giz90xISGD06NHUqFEDe3t7XF1d6dmzp9lnCZnPf9KkSXh7e1OiRAmqVKnC2LFjSU5ONtseIC0tja+++opmzZrh5OREyZIlqV+/PvPmzSMjI+OBYxZCCCGEEEIIIYQQ4n/J3bt/kpx8EXf3rhbpf/6++ZSwLsHr9V+3SP/i0Vl8m02l1A1N05YD/YFPgLH6Ok3T2gEdyNzOckNW8U/ADKCPpmlfKKX2ZbW1ByZntZmfo5tQ4ENgqKZpoUqp2KxrXIGPs9osyHHNAuA1YIymaauUUjezrvEC3gWSs+77xFFKGSU2cn62tJEjRzJ37lw8PDwYPHgwtra2REREsGfPHlJSUrCzM875Hj16lDFjxuDn50eXLl1wdXXl/PnzrF69mvXr17NmzRo6dszMyfr4+BASEsKECRPw9PQkODjYcJ82bdoYvn/77bepXbs2fn5+eHh4oNPpWLduHa+99hrHjx9n0qRJ+RpTZGQkERERdOrUiSFDhnDkyBHWrVvH3r17OXLkCGXKlDG0PXv2LK1ateLy5cv4+/vTt29fLly4wIoVK1i7di0///wzXbtm/mUfHByMi4sLERER9OjRAx8fH8N9XFxc8hVjXgQHB7N06VLq1q3LgAEDcHBw4PLly2zfvp0NGzbw4osvGtpu2LCBl19+mdTUVLp168Zzzz3HxYsX+eWXX1i7di3R0dE0aNDA0P7kyZM0b94cnU5Hp06d8PHx4dSpU/Ts2ZNOnTqZC8eskSNHsmrVKrZs2cLAgQNNEpKQvznOjf5dWrVqFYcOHWLEiBGGOc9t7gviecXGxtK0aVNq1apFcHAwsbGxrFy5kjZt2rBr1y46duyIk5MTvXv3Jj4+nmXLltGpUydOnDjBs88+a7jPrVu3aNmyJUeOHKFx48aMHDmSGzdu8OOPP9K+fXvmz5/PW2+9ZWivlOKVV14hIiICb29vhg4dSkpKCt9++y1//fWX2Vj1z37jxo3UqFGDfv36YW9vT3R0NMOGDWPPnj18//33eRq3EEIIIYQQQgghhBBPOp0uEgB3985F3ved5Dt8d+g7XqnzCmVKlnn4BcVYcc9xFIrHOXCvoP4AZYGTgCJzpd5MYAWZK/ZSgV452vfMqksEvgH+AxzLun4FoJnpY1hW/Q3gS2AWcCGrbGYucX2WVX8hq/2XWdcrYGhex1e9evU8HYB45MiRPLV7HNHR0Wr9+vUqIyNDKaVURkaGWr9+vYqOjla3b98u9P4fZseOHQpQ3t7eSqfTGcrv37+vmjVrpgDl6elpFOutW7fU9evXTe514cIF5eHhoWrWrGlSB6jWrVvnGsepU6dMypKTk5W/v7+ysbFRFy9ezNN4QkNDFaCsra3V5s2bjeo++ugjBagZM2YYlbdv314BavLkyUblO3bsUNbW1srNzU3duXPHpI/Q0NA8xaQXHR2tABUSEmIoyz6vnp6eytPT0/D51q1bStM01bBhQ5WWlmZyvxs3bhi+j4+PVy4uLsrd3V39/fffRu0OHz6sSpUqperXr29U3q5dOwWo2bNnG5WvWrVKZf3MGY3xQe9rSEiIAnI9ADW/c/wgAwcOVIA6e/asSZ1+DrPH+qjP6+zZs4Z5yBn3xIkTFaBcXV3VW2+9pdLT0w113333nQLUyJEjja4ZPHiwAtTgwYMNfx8opdSBAweUk5OTsrOzMxpTeHi4AlSzZs3U/fv3DeU6nU5VrVrV7M+U/jkMHTrU6J1JS0tTr7/+ugLUqlWrTMY4cODAPM1Jcfg7K68eJ9ai+Lchuyfp4GCJtXA8KbE+KXEqJbEWFom1cEishUNiLRwSa+GQWAvekxKnUhJrYZFYC4fEWjgk1sKhj3X//mZq374mFonhq9+/UoxH7b6w+4Htivu8Zs9xREdHG+U4ijNgn3qMPFpx2GYTpdQ1oCmZCbPKwHDAH1gL+CqlVuRovwpoTWbiL5DMRF0q8B7QJ2ticvbxBdAd+BsYAAwGrgDBSql/5xLX+0BwVrvBWdf9DXRTSs17rEFbgFKKpKQk9uzZw8aNG1FKsXHjRvbs2UNSUhJmpq3I6bcsHDNmDG5uboZye3t7pk2bZvYaZ2dno5VtepUqVSIoKIhjx45x/vz5fMVh7pwzOzs73n33XdLS0oiKisrX/fr06UNAQIBR2eDBgwH4/fffDWUXL15k06ZNPPvss3z44YdG7Vu0aEHfvn2Jj4/nl19+yVf/BUHTNJRSlChRAisr07863N3dDd9/99133Lp1iwkTJlC7dm2jdnXq1OHNN9/k4MGDHDlyBMgc96+//kqVKlUYOnSoUfsePXrQunXrAhtHcZ7jvPDy8uKjjz4yKhs4cCAAycnJfPrpp0bPp1+/ftjY2PDHH38YylJTU/nhhx9wdHRk2rRpRr+18txzzzF8+HBSUlL47rvvDOX6n82pU6dib29vKHdzc2PcuHEmcWZkZDBv3jzKly/PrFmzsLb+Zw9ua2trPvvsMzRNIzw8/FGnQgghhBBCCCGEEEKIJ0ZKyjVu396Du3uXIu9bKcWXe7+kgUcDmlRsUuT9F5ScOQ6g2OU4CovFt9nUU0rFk5mMey+P7XcA+VqLqpRaA6zJ5zWLgcX5uaa40jSNDh06ALBnzx727NkDQNOmTenQoQOJiYmWDA+AAwcOAJhN3vj6+mJjY/6V3bFjB3PmzGHXrl1cu3aNlJQUo/pLly4ZbTH4MOfPn2fGjBlERUVx/vx57t+/b3K//GjUqJFJWeXKlQG4efOmoezgwYNA5lhtbW1NrvH39+eHH37g4MGDDBgwIF8xPC4nJye6devGmjVr8PHxITAwEF9fX5o2bUrJkiWN2u7atQuAQ4cOmT2T78SJE0DmFqm1a9c2jLtVq1ZGSR+9Nm3asGXLlgIZR3Ge47zw8fExmaMKFSoAUL16dUqXLm1UZ21tTbly5bh48aKh7NixY9y7d4+WLVsaJc31/P39mTx5smGuIPNn08rKilatWpm0z75Frd6JEyfQ6XRUq1aNyZMnm9QDODg45HpupBBCCCGEEEIIIYQQ/0vi49cDyiLn5W07v42/r//Nf7v/94nejjJnjqN69eqcOHHCkON4ksf2MMUmmSeKhv5l1yfygGL1kickJABQrlw5kzpra2uj1V96K1euJCgoCHt7e9q1a4e3tzelSpXCysqKmJgYtmzZQnJycp5jOHPmDE2aNOHmzZv4+vrSvn17nJ2dsba2JjY2lsWLF+frfmD+PDR9YjI9Pd1Qph+/h4eH2fvoy2/dupWv/gvK8uXLmTFjBkuWLCEkJATIXDUZFBTEzJkzDc9Np9MBsGjRogfeT59AftBzByhfvnyBxJ+9r+I6xw/j7OxsUqZ/l8zV6etTU1MNnx9lDhISEnBzczObADX3fPTvwMmTJ5kwYYLZfoBi8UsEQgghhBBCCCGEEEIUNp0uEju7Cjg61i/yvr/a+xUu9i70qdunyPsuaMU9x1FYJJn3lNFvrZndxo0bDdlsS9MnI65evUrVqlWN6tLT09HpdFSsWNGofNy4cdjZ2bFv3z5q1aplVPfWW2/le0XX559/jk6nIzQ0lODgYKO6pUuXsnhx4S3U1I//ypUrZuvj4uKM2j0O/VaMaWlpZusTEhJM+nFwcGD8+PGMHz+eCxcusHXrVsLCwvjhhx+IjY1l27ZtRvEdOnSI559//qGxZH/u5uQ2H4+iKOe4uHqUOXB2diY+Pp7U1FSThJ65++ivfemll4rtlqVCCCGEEEIIIYQQQhSNVOLjN1K2bJ8iTzrF3Ynj56M/M6zJMEralnz4BcXcg3Ic/8sJvWJxZp4oGtnPyGvatCmffPIJTZs2NTpDz9IaNGgAYDYBt23bNrOJp1OnTlG7dm2TRF5GRgbbt28324+VlZXRiric9wMIDAw0qSuorR5zU79+5m9lbN++3exYo6OjgX/mCTBsuZjbeHLj6uoKwIULF0zqTp069dCVaZUrV6Z///5s3LiRatWqsX37dsNqrGbNmgEYknsPk33c5sYRExOTp/voPWhOHmWOC9KjPq+CVKNGDUqWLMkff/xhtM2rnrk5aNCgQa4/U+aeT82aNXFxcWH37t1GqwKFEEIIIYQQQgghhHj6/El6+h2LbLH5zYFvSMtI4+1Gbxd53wUtZ47Dw8Oj2OU4Cosk854imqZhb29vtH9shw4daNq0Kfb29sUia61fCTdlyhTi4+MN5UlJSYwePdrsNV5eXpw8eZLLly8bypRSTJgwgSNHjpi9xt3d3WwSS38/ME1QbNy4kW+++SaPI3k0lSpVol27dsTGxjJ79myjuj179rBkyRJcXV156aWXDOX6rUfPnz+fr75q1qyJk5MTERERXLt2zVB+//59hg8fbtL++vXrRkuX9e7evcudO3ewsbHBzs4OgEGDBuHi4sKECRP4/fffTa7JyMgwml/9uM+ePcu8efOM2kZEROQ7ifqgOXmUOS5Ij/q8CpKdnR39+/cnMTGRTz75xKjuzJkzzJ07F1tbW1577TVD+aBBgwAYM2YMSUlJhvL4+HizZ+LZ2NgwbNgw4uLiGD58uMm5k5C5AjC3n1EhhBBCCCGEEEIIIf537EbTSuDqGlCkvaZlpLFw/0Lae7enmnu1Iu27MOTMcQDFLsdRWGSbzadMmzZtUEoZXmp9Qk/TNO7cuWPh6KBly5YMGzaML774grp16xIUFIStrS0RERG4urqaPeNr1KhRDBkyhPr16xMYGIitrS07duzgyJEjdOvWjTVr1phcExAQwLJly+jWrRsNGzbExsYGPz8//Pz8eOeddwgNDaVXr14EBgZSsWJFDh8+zIYNG3jllVdYvnx5oc7BggULaNmyJR988AGbNm2iUaNGXLhwgRUrVmBlZUVoaCilS5c2tG/evDklS5Zk9uzZxMfHG86dGzZs2AO3irS1tWXEiBFMmjSJ+vXr89JLL3H//n1iYmKoUKECFSpUMGp/6dIlmjVrRq1atWjQoAGVK1fm9u3bREZGcuXKFYYPH26Iy93dnZ9++omXXnqJZs2aERAQQJ06dbCysuL8+fPs2rULnU5nlBT68ssvad68OSNHjmTTpk288MILnDp1ipUrV+b6HHPTtm1brKysGD16NIcPHzasQhw7duwjzXFBetTnVdCmT5/Otm3bmDdvHnv37qVt27bcuHGDH3/8kTt37jBv3jyqVKliaN+3b1+WL1/O6tWrqVu3Lj169CA1NZWffvqJxo0bc/r0aZM+xo0bx6FDh1iwYAFr1qzB39+fihUrcu3aNU6ePMmOHTuYMmUKtWvXLrJxCyGEEEIIIYQQQghR9Hbj6uqPtXWpIu119fHVXLpzia+6fFWk/RamB+U4/pdJMu8plPOlLm4v+Zw5c6hevTpffvklCxcuxN3dnZdeeompU6fywgsvmLR/6623KFGiBLNnz2bx4sU4ODjg6+tLaGgoP//8s9kk0Jw5c9A0jaioKNatW0dGRgYhISH4+fnx/PPPEx0dzdixY1m3bh1paWm88MIL/PLLL7i4uBR6Mq9q1ars27ePyZMns27dOmJiYnBycqJjx46MGTOGxo0bG7V3dXXl559/ZsKECYSGhnL37l0AXn311YcmhyZMmEDJkiVZtGgRX3/9NeXKlaNv376MHz/eJMHi5eXFhAkTiImJITo6mhs3buDm5kaNGjWYPn06ffoYH54aEBDAn3/+ycyZM9m4cSPbtm3Dzs6OChUq4O/vb7KNabVq1di9ezcfffQRmzdvJiYmhueff55Vq1Zx/fr1fCXzatWqxeLFi5k5cyZfffWVIWmoT+bld44L0uM8r4Lk5ubGrl27mDZtGr/88guff/45Dg4ONGzYkI8++oj27dsbtdc0jRUrVjB9+nTCwsKYN28eHh4e/D97dx5dV1nvf/z9ZGjSuWnapEMKZWplHkuliBbwWkRQuKCiUAZRFIoogziAXiyDqEVlaAEHqC0yCRe8KFBBKLOxZZbBMhXTIafz3DRN8vz+yCm/WJI2Jzn7NEnfr7WyDnvvZ3+/n9MGWcvv2s8+44wz+NGPfkRxcfGHehQWFnL//fdz2223MXXqVP785z+zZs0aBg4cyE477cTll1/OySefnKuvLEmSJEmSJOXcunVzgHmUln4v572nzJrCDn134DO7fSbnvZPU0WccSXCYpw4nhMC5557Lueee+6Frc+fOBfjQU4Snn376B1t0NrX33ntz2WWXfeh8WVkZt99+e4sZxowZw2OPPdbstUz23T399NM54YQTWnzKq6VaQ4cO5cYbb2x1n6OOOoqjjjqq1es3CSHwve99j+99r/E/JKtXr/4g66Y/60369evHj370ow9ty7glw4cP/9C2mVuy6667cs899zR7rbm/3y055ZRTOOWUU1q8numfcUumTp3K1KlTm73W0u9rW/6+hg8fvsXfvS1d2/zvcpN+/frx05/+lJ/+9KcfnGv6O7C5bt26tfg70FL/EALjx4//jy07W7K17yhJkiRJkiR1NkuX/hmA/v1zO1B7c8mb/O29v3HVEVeRn5ef097KPt+ZJ0mSJEmSJEmSlIDGYd5OdO8+PKd9b5x1I4V5hZx5wJk57atkOMyTJEmSJEmSJEnKstraRaxY8SRwSE77rqldw9SXp/L5PT9PWc+ynPZWMhzmSZIkSZIkSZIkZdmiRXcA9cAnc9r39ldvZ9WGVUwYNSGnfZUch3mSJEmSJEmSJElZVl09jV69DgR2ylnPGCOTZ01m3/J9OaQit08EKjkO8yRJkiRJkiRJkrJo7drXWLPmBQYNGp/Tvs9WPcsrqVeYMGoCIYSc9lZyHOZJkiRJkiRJkiRlUXX1dCCfsrIv5bTvlNlT6FPUhy/v/eWc9lWyHOZJkiRJkiRJkiRlSYz1pFK3UVr6abp1K8tZ39SaFH987Y+cvu/p9OzWM2d9lTyHeR1MjHFbR5AkdRD+N0GSJEmSJKnzWbFiJrW18ykvz+0Wm7978XdsbNjIOaPOyWlfJc9hXgeSn5/Pxo0bt3UMSVIHsXHjRvLz87d1DEmSJEmSJGWgunoa+fl9KS09Nmc96xrquGn2TRy505GMHDAyZ32VGw7zOpDevXuzatWqbR1DktRBrFq1it69e2/rGJIkSZIkSWql+vq1LF58L2VlXyA/v3vO+v5lzl+oWlXFhFETctZTueMwrwPp378/y5cvZ8mSJdTW1rq9miRth2KM1NbWsmTJEpYvX07//v23dSRJkiRJkiS10uLF99HQsDbnW2xOmT2Fob2HcuzI3D0NqNwp2NYB9P8VFRWxww47sGzZMubOnUt9fX1O+9fU1FBcXJzTnm1l1mSYNRlmTUZXzpqfn0/v3r3ZYYcdKCoqSjCZJEmSJEmSsimVmkZx8U707XtoznrOWTqHv77zVyaOnUhBnmOfrsi/1Q6mqKiIwYMHM3jw4Jz3njlzJvvvv3/O+7aFWZNh1mSYNRlmlSRJkiRJUkeyYcN8li9/lB13vJQQcrcx4k2zb6Igr4CvHfi1nPVUbrnNpiRJkiRJkiRJUjulUrcDMadbbK7buI5bX7qVE3Y/gUG9BuWsr3LLYZ4kSZIkSZIkSVI7xBiprv49ffocQo8eu+Ws7x2v3sGKmhVMGDUhZz2Vew7zJEmSJEmSJEmS2mHNmpdYt+61nD6VF2Nk8qzJ7FW2Fx/b4WM566vcc5gnSZIkSZIkSZLUDqnUdEIopKzsiznrWTm/kherX2TCqAmEEHLWV7nnME+SJEmSJEmSJKmNGhrqSKX+QGnpsRQW9s9Z3ymzptC7W29O3vvknPXUtuEwT5IkSZIkSZIkqY2WL/8rGzcuyukWm4vXLuau1+7i1H1PpXdR75z11bbhME+SJEmSJEmSJKmNUqnpFBT0p7T06Jz1vOXFW6itr+WcUefkrKe2HYd5kiRJkiRJkiRJbVBXt5IlS+6nrOxL5OV1y0nP+oZ6bpx9I2OHj2WPgXvkpKe2LYd5kiRJkiRJkiRJbbB48b00NNQwaFDutth86O2HeH/l+0wYNSFnPbVtOcyTJEmSJEmSJElqg+rqaXTvPoLevQ/OWc8ps6YwuNdgPjfycznrqW3LYZ4kSZIkSZIkSVKG1q+fy8qVT1BePp4QQk56vrPsHR5++2HOOvAsCvMLc9JT257DPEmSJEmSJEmSpAwtWvQHAMrLT8lZz5tm30ReyOOsA8/KWU9tew7zJEmSJEmSJEmSMhBjpLp6Gn37foLu3YfnpOf6jeu55aVbOH734xnSe0hOeqpjcJgnSZIkSZIkSZKUgdWr/8H69XMYNGh8znre9dpdLFu/jAmjJuSspzoGh3mSJEmSJEmSJEkZqK6eTl5eMQMHnpiznpNnTWb3AbvziR0/kbOe6hgc5kmSJEmSJEmSJLVSQ0MtixbdwYABx1FQ0DcnPWfNn8XsBbM5Z9Q5hBBy0lMdh8M8SZIkSZIkSZKkVlq69EHq6pZRXp67LTanzJ5Cz8KenLrvqTnrqY7DYZ4kSZIkSZIkSVIrpVLTKSwso6TkUznpt3TdUu78552M32c8fYr65KSnOhaHeZIkSZIkSZIkSa2wceMyli59gPLyk8nLK8hJz1tfupWauhrOGXVOTvqp43GYJ0mSJEmSJEmS1AqLFt1NjBtztsVmQ2zgxtk3ctgOh7F3+d456amOx2GeJEmSJEmSJElSK6RS0+jZcy969dovJ/1mvD2Dd5e/y4RRE3LSTx2TwzxJkiRJkiRJkqStWLfuLVateo7y8vGEEHLSc8rsKZT3LOf43Y/PST91TA7zJEmSJEmSJEmStiKVug0IlJefnJN+7y1/j7/M+QtfO+BrdMvvlpOe6pgc5kmSJEmSJEmSJG1BjA2kUtMoKfkkRUVDc9Lz5udvJi/k8fWDvp6Tfuq4HOZJkiRJkiRJkiRtwcqVz1BTM5fy8vE56VdTV8NvX/gtnx35WSr6VOSkpzouh3mSJEmSJEmSJElbkEpNJy+vJwMG5ObddX987Y8sXb+UCaMm5KSfOjaHeZIkSZIkSZIkSS2or1/PokV3M3DgCRQU9MpJz8mzJjOydCRH7HRETvqpY3OYJ0mSJEmSJEmS1IKlSx+gvn5lzrbYfH7B81TOr+Tsg84mhJCTnurYHOZJkiRJkiRJkiS1IJWaTrduQykpOTwn/W6cfSM9Cntw2n6n5aSfOj6HeZIkSZIkSZIkSc2orV3E0qUPUV5+CiHkJ95v+frl3P7q7Zy898n0K+6XeD91Dg7zJEmSJEmSJEmSmrFo0R1APYMG5WaLzakvTWV93XrOGXVOTvqpc3CYJ0mSJEmSJEmS1Izq6un06nUAPXvumXivhtjAlNlTGDNsDPsN2i/xfuo8HOZJkiRJkiRJkiRtZu3a11mz5nnKy3PzVN6j7z7K28veZsKoCTnpp87DYZ4kSZIkSZIkSdJmUqnpQD7l5V/KSb8ps6YwsMdATtj9hJz0U+fhME+SJEmSJEmSJKmJGOtJpW6jf/+j6NatPPF+/175bx6Y8wBfPeCrFBUUJd5PnYvDPEmSJEmSJEmSpCZWrJjJhg3zGDQoN1ts3jz7ZgC+fuDXc9JPnUtBaxeGEPKBohjjus3OHwF8DlgH/DrG+F52I0qSJEmSJEmSJOVOdfV08vP7UFr62cR7bajbwG9e+A3HjDiGHfvtmHi/5sQYCSG0eKxtK5Mn8yYBy0IIfTedCCGcBDwCfBP4LvCPEMKw7EaUJEmSJEmSJEnKjfr6tSxefA9lZV8gP7974v3ufeNeFq9bzIRRExLv1ZyZM2cyY8YMYoxA4yBvxowZzJw5c5vk0YdlMsz7OPB4jHFlk3P/A6wATgUuBvoBF2QvniRJkiRJkiRJUu4sXnwfDQ1rKS/PzRabU2ZNYdf+u/LJnT+Zk35NxRipqamhsrKSGTNmADBjxgwqKyupqan5YMCnbavV22wCw4BnNx2EEHYGRgITY4y3pc99HDgKOD+bISVJkiRJkiRJknIhlZpOcfFw+vb9WOK9Xq5+mWeqnuGaT11DXsjk+avsCCEwbtw4ACorKxkxYgRz5sxh9OjRjBs3zq02O4hMfjP6AKuaHB8KRODhJudeAyqykEuSJEmSJEmSJCmnNmyYz/Llj1JePp6Qg+HalFlT6F7QnTP2OyPxXi1pOtDbxEFex5LJb+JCYKcmx58E1gPPNznXC6jLQi5JkiRJkiRJkqScSqVuBxpyssXmipoV3PbqbXxpry9R0r0k8X4t2fSOvKaavkNP214m22z+HfhsCOEYoAY4EfhbjHFjkzU7A/OzmE+SJEmSJEmSJClxMUZSqWn06fNRevTYLfF+016exrqN65hw8ITEe7Vk0yCvsrKS0aNHU1xcTElJCZWVlYBP6HUUmTyZd1V6/Z+AGUA34MpNF0MIfYCxQGUW80mSJEmSJEmSJCVuzZqXWbv2n5SXn5p4rxgjU2ZNYfTQ0Rww+IDE+7UkhEBxcfEH78iDxgHepsGeg7yOodVP5sUYXw0hjAZOS5+6K8Y4q8mSfYC/AndkMZ8kSZIkSZIkSVLiUqnphFBIWdkXEu/12HuP8a+l/+L3x/0+8V5bM3bsWGKMHwzuNr1Dz0Fex5HJNpvEGF8FLmrh2tPA09kIJUmSJEmSJEmSlCsNDXWkUn+gtPQYCgtLE+83ZfYUSruX8oU9kx8ctsbmgzsHeR1LJtts/ocQQkkIYVg2w0iSJEmSJEmSJOXa8uWPsHFjivLy8Yn3mrdqHn9680+cuf+ZFBcUJ95PnV9Gw7wQQq8QwjUhhGpgCfBek2ujQwgPhhC23eaukiRJkiRJkiRJGUqlplNQ0J/S0qMT7/Xr539NQ2zgGwd9I/Fe6hpaPcwLIfQFngPOBxYAbwBNn7N8FTgM+FI2A0qSJEmSJEmSJCWlrm4VS5bcR1nZSeTlFSXaq7a+ll8//2uO3u1odirZKdFe6joyeTLvEmBP4PQY4wHAH5tejDGuA3xwkxcAACAASURBVJ4AjsxePEmSJEmSJEmSpOQsXnwPDQ01Odli87437iO1NsWEURMS76WuI5Nh3n8DM2KM07aw5n1gaPsiSZIkSZIkSZIk5UYqNZ3u3XejT5/RifeaMnsKO/XbiXG7jku8l7qOTIZ5FcArW1mzBujb9jiSJEmSJEmSJEm5UVPzPitWzKS8/FRCCFu/oR1eTb3Kk+8/ydkHnU1eyGQ8o+1dJr8tq4GyrazZCVjS9jiSJEmSJEmSJEm5kUrdBkB5+SmJ97px9o0U5Rfxlf2/kngvdS2ZDPNmAceEEHo3dzGEMBg4Gng6G8EkSZIkSZIkSZKSEmOkuno6fft+nO7dhyfaa9WGVUx/ZTon7XUSpT1KE+2lrieTYd61QCnwYAhh96YX0sd/BIqB67IXT5IkSZIkSZIkKftWr57F+vX/YtCgUxPvNf3l6aypXcOEURMS76Wup6C1C2OMM0IIlwGXAf8ENgKEEJYAJUAAvhtjfDb7MSVJkiRJkiRJkrKnunoaeXnFDBx4YqJ9YoxMnjWZg4YcxKihoxLtpa4pozcsxhgnAkcC/wcsB+qBCDwIfDLG+POsJ5QkSZIkSZIkScqihoZaFi26k9LSz1FQ0DfRXi+vfJk3lrzBOQedk2gfdV2tfjJvkxjj48DjCWSRJEmSJEmSJElK3LJlD1FXt5RBg8Yn3uv+BfdTUlzCSXudlHgvdU0ZPZknSZIkSZIkSZLU2VVXT6ewsIySkk8l2mfB6gU8veRpvrL/V+he2D3RXuq6Wj3MCyEMDyEcHULo2eRcQQjhxyGEl0MIz4YQjk8mpiRJkiRJkiRJUvtt3LiMpUsfoLz8y+TlFSba6zfP/4b6WM/ZB52daB91bZlss/k/wGeB8ibnLgV+2OT47hDCYTHGv2cjnCRJkiRJkiRJUjYtWnQ3MdZSXp7sFpsb6jZw8/M3c3DJwezSf5dEe6lry2SbzUOAv8UY6wBCCHnAOcCbwA7AwcBa4Pxsh5QkSZIkSZIkScqGVGo6PXrsSa9e+yfa55YXb2HhmoV8YdgXEu2jri+TYV458H6T4/2AAcDkGOO8GONs4E/AqCzmkyRJkiRJkiRJyop1695m1apnGTToVEIIifWpra/l6meu5pCKQzig3wGJ9dH2IZNtNguB2OT40PTxY03OzQMGZyGXJEmSJEmSJElSVqVS04FAWdmXE+0z7eVp/Hvlv7npMzcR5ic3NNT2IZMn8+YB+zQ5PhpYEmN8o8m5MmBVNoJJkiRJkiRJkiRlS4yRVGo6JSVHUlxckVifjfUbueqpqzhoyEEctetRifXR9iOTJ/P+DJwfQpgE1AD/Bdy62ZqP8J9bcUqSJEmSJEmSJG1zK1c+Q03Newwf/uNE+9z+6u28t+I9fnXUrxLdylPbj0yGeT8DjgMuSB/PB/5n08UQwo7AGOCXWUsnSZIkSZIkSZKUBanUNPLyejBgwPGJ9ahvqOfKp65k3/J9OXbEsYn10fal1cO8GOOiEMLewJHpU0/EGFc3WdKLxkHfjCzmkyRJkiRJkiRJapf6+hoWLbqbgQNPoKCgV2J97nrtLt5a9hb3fuFen8pT1mTyZB4xxvU0brfZ3LXXgNeyEUqSJEmSJEmSJClbli59gPr6lZSXj0+sR0Ns4Ionr2Cvsr047iPHJdZH25+MhnmSJEmSJEmSJEmdTSo1nW7dhlBSckRiPe59/V7eWPIGd55wJ3khL7E+2v5kPMwLIYwCxgFDgaJmlsQY45ntDSZJkiRJkiRJktRetbWLWLbsISoqLiCE/ER6NMQGLn/yckaWjuTEPU5MpIe2X60e5oXGzV2nAqcAAYjpz01ik/MZDfNCCHOBHVu4nIoxDmrmnjHApcBHgWLgbeAW4PoYY30LfY4BLgL2B/Jp3BZ0Sozx91vIdhowAdgDqAdeBCbFGJvdblSSJEmSJEmSJHUcixbdSYx1iW6x+X//+j9eXfQq04+fTn5eMgNDbb8yeTLvXGA8MA24DpgN/Aq4GxgLfA94EPh+G7OsTNfb3JrNT4QQPgfcC9QAdwHLgGOBXwKHAp9v5p5zgeuBpcBtQC1wIjA1hLB3jPGiZu6ZBFwIzAN+A3QDTgIeCCF8M8Z4Q+ZfU5IkSZIkSZIk5UoqNZ1evfanV6+9EqkfY2TiExPZpWQXTtrrpER6aPuWyTDvNOBfMcbTARof1GNFjPHvwN9DCDOAvwOPALe2IcuKGONlW1sUQuhD42CtHhgbY5ydPv9D4DHgxBDCSTHGO5vcMxyYROPQ76AY49z0+YnALODCEMK9McbnmtwzhsZB3jvAqBjj8vT5nwPPA5NCCH/eVEuSJEmSJEmSJHUsa9e+zurVs9lll18m1uPBtx7kxeoXueWzt1CQl/HbzaStyuQNjCNpHJY19cFvZYzxReDPwDlZyLUlJwIDgTs3DfLS/Wto3HYT4OzN7vkKje/3u6Hp8C09oLsqffiNze7ZdHzlpkFe+p65wOR0vTPa80UkSZIkSZIkSVJyUqnpQD7l5V9KpH6MkYlPTmR4v+Gcss8pifSQMhnmBRq3wtxkLdB/szVvAR9pY5aiEMIpIYQfhBC+FUI4PDT/Jsoj0p8PN3PtSWAdMCaEUNTKex7abE177pEkSZIkSZIkSR1AjA2kUrfRv/84unUrT6THI+8+wj/m/4Pvf+z7FOYXJtJDyuR5z/nA0CbH7wIHbrZmNxqHfG0xCJi+2bn3QghnxBifaHJuZPpzzuYFYox1IYT3gD2BnYE3WnHPwhDCWqAihNAjxrguhNCTxu+6Jsa4sJmsb6U/R7Tmi0mSJEmSJEmSpNxasWImGzbMY5ddJiVSP8bIj5/4McP6DOO0fU9LpIcEEGKMrVsYwnRg/xjjXunjq4HvAJcB/wuMBa4F/hxjPC6jECH8D/AU8BqwmsZB3LnAWUANcEiM8eX02jk0Dg13izG+3UytZ4AxwJhN78ALIdQChUBhjLGumXvmA0OAIenh3hAah5fzY4wVzawvBGqB2hhj0ebX02vOSudn4MCBB959990Z/IlsG2vWrKFXr17bOkarmDUZZk2GWZNh1mSYNRlmzb7OkhPMmhSzJsOsyTBrMsyaDLNmX2fJCWZNilmTYdZkdL2sVwNPA/fS+Oas7Hph+Qtc+MqFnLfreRw/9PgW13W9P9eOoTNlPfzww5+PMR7U5gIxxlb9AMfR+KTbTunj/jQ+ndcA1Kc/lwAfaW3NVvScBETgvibn5qTP7drCPc+mr3+0ybna9LmCFu5ZkL4+KH08JH08r4X1henrNa35HiNGjIidweOPP76tI7SaWZNh1mSYNRlmTYZZk2HW7OssOWM0a1LMmgyzJsOsyTBrMsyafZ0lZ4xmTYpZk2HWZHSlrHV1a+KTT/aKb7xxZmIZxk4dGwdPGhzXb1y/xXVd6c+1I+lMWYHZsR3zsla/My/GeH+McfcY43vp42XA/sDFwK+B7wN7xxjfzGSYuBU3pT8/3uTcpvf29W3hnj6brcvknlWtXN93s3WSJEmSJEmSJKmDWLLkfurr1zBo0PhE6j/1/lPMnDuTiw+9mOKC4kR6SJtk8s68D4kxrqTx6bmkLEp/9mxy7l/AQTS+r+75potDCAXATkAdjU8NNr1nQPqe5za7Z3C6/rwY4zqAGOPa9NabQ0MIg+OH35u3W/rzQ+/gkyRJkiRJkiRJ21Z19XSKinakb9/DEql/+ZOXU9azjLMOPCuR+lJTrX4ybxs5JP3ZdDD3WPrzqGbWfxzoATwbY9zQyns+vdma9twjSZIkSZIkSZK2oQ0bFrB8+SMMGjSeELI/Bvn7vL/zyLuP8J0x36FHYY+s15c2t8Xf4hBCnxDCohDCCyGEwi2s6xZCeD6EUB1CyOhtgyGEPUMI/Zs5vyNwQ/rwtiaX7qHx3XwnhRAOarK+GLgifXjjZuVuBTYA54YQhje5pwT4Qfrwps3u2XR8SXrdpnuGAxPS9W7d4peTJEmSJEmSJEk5lUrdDjRQXp7MFpuXP3k5pd1L+cZB30ikvrS5rW2zeTqN21N+Lsa4saVFMcbaEMIE4FngDOD6DDJ8HvheCOFx4D1gNbAL8BmgGHiQJlt5xhhXhRC+RuNQb2YI4U5gGfBZYGT6/F2b5XsvhPAd4DpgdgjhLqAWOBGoAK6JMT632T3PhhB+AVwAvBJCuAfoBnwR6A98M8Y4N4PvKUmSJEmSJEmSEpZKTad379H06DEi67VnL5jNg289yFVHXEWvbhk92yS12daGeccC/9x80NWcGOPfQwgvA8eR2TDvcRqHcPvTuK1mT2AF8DQwHZgeY4yb9bo/hPAJ4BLgBBqHfm/TOHi7bvP16XuuDyHMBS4CTqXxqcTXgUtjjL9v4TtdGEJ4BTgXOAtoAF4Afh5j/HMG31GSJEmSJEmSJCVszZqXWbv2FXbbbXIi9a948gpKikuYcPCEROpLzdnaMG8f4N4M6j1H43Ct1WKMTwBPZHJP+r5ngKMzvOcB4IEM7/k90OywT5IkSZIkSZIkdRzV1dMIoZCysi9mvfZL1S/xp3/9iR+P/TF9ivpkvb7Ukq29+bEEWJpBvaVAv7bHkSRJkiRJkiRJylxDQx2LFt1OaelnKCwszXr9K568gj5FfThv9HlZry1tydaGeWtoHOi1Vgmwtu1xJEmSJEmSJEmSMrd8+aPU1lZTXn5q1mv/c9E/ufeNeznv4PPoV+wzTcqtrQ3z3gXGZFBvTPoeSZIkSZIkSZKknEmlplFQUEJpaUZv6GqVK5+6kl7devHtj34767WlrdnaMO9RYN8QwlFbKxRC+BSwH/BINoJJkiRJkiRJkiS1Rl3dKpYsuZ+yspPIyyvKau03l7zJXf+8iwmjJlDaI/vbd0pbs7Vh3g1ALXBbCOHIlhaFEI4Abgdq0vdIkiRJkiRJkiTlxOLF99LQsD6RLTaveuoquhd254JDLsh6bak1CrZ0McY4L4TwTeDXwF9DCH8H/gbMAyJQARwJHAIE4KsxxvnJRpYkSZIkSZIkSfr/UqlpdO++G336jM5q3beXvc3tr97Ot0Z/i7KeZVmtLbXWFod5ADHG34YQ1gHX0zi0++hmSwKwDDgvxnh79iNKkiRJkiRJkiQ1r6bmfVasmMnw4RMJIWS19k+e+gmF+YVcNOairNaVMrHVYR5AjPH2EML/AScCHwMG0zjEWwA8DdwTY1yTWEpJkiRJkiRJkqRmpFJ/AKC8/JSs1p27Yi7TXpnGOQedw+Deg7NaW8pEq4Z5AOlh3dT0jyRJkiRJkiRJ0jYVYySVmk7fvofRvftOWa199dNXkxfyuPjQi7NaV8pU3rYOIEmSJEmSJEmS1BarV89m3bo3KS8/Nat1q1ZWccuLt3Dm/mcytM/QrNaWMuUwT5IkSZIkSZIkdUqp1DRCKGLgwBOzWvdnz/yMSOS7h343q3WltnCYJ0mSJEmSJEmSOp2GhloWLbqTAQM+R2Fhv6zVXbh6Ib954Tecvu/p7NhvxzbXiTFu8VhqLYd5kiRJkiRJkiSp01m27GE2blzCoEHZ3WLz58/+nLqGOr5/2PfbXGPmzJnMmDHjgwFejJEZM2Ywc+bMLKXU9qRgWweQJEmSJEmSJEnKVHX1NAoLB1JS8qms1Vy0dhE3zb6JU/Y5hZ1Ldm5TjRgjNTU1VFZWAlBcXMyMGTOorKxk9OjRxBgJIWQts7o+h3mSJEmSJEmSJKmTWc3SpQ8wZMjZ5OUVZq3qNc9ew4b6DfzgsB+0uUYIgXHjxgFQWVnJiBEjmDNnDqNHj2bcuHEO8pQxt9mUJEmSJEmSJEmdzOPEWJvVLTaXrFvC5FmTOWmvkxhROqJdtZoO9DZxkKe2cpgnSZIkSZIkSZI6mb/So8ce9Oq1f9Yq/vK5X7Ju4zouOeySdtfa9I68ppq+Q0/KRIvbbIYQ3m1jzRhj3KWN90qSJEmSJEmSJLVo/fp3gNcYNOjqrD3ptnz9cq7/x/WcuMeJ7DFwj3bV2jTI2/SOvOLiYkpKSj54h55P6ClTW3pnXh6w+Yi4GzA4/c91wFKgtEmdhUBtNgNKkiRJkiRJkiRtUl09HQiUlZ2ctZrXVl7L6trVXPrxS9tdK4RAcXHxB+/Ie+KJJz7YcrO4uNhBnjLW4jAvxji86XEIoQ/wKPA+8H3gqRhjQwghD/g48BMaB4CfTCytJEmSJEmSJEnabsVYTyr1e2A/iosrslJzZc1Krq28luM+chz7lO+TlZpjx44lxvjB4G7TO/Qc5KktMnln3pVAP2BsjPGJGGMDQIyxIcY4Ezgc6J9eJ0mSJEmSJEmSlFWLF99HTc1c4Lis1bzhHzewomYFP/z4D7NWE/jQ4M5Bntoqk2He8cCfYozNbqMZY6wB/gT8dzaCSZIkSZIkSZIkbRJjpKpqEsXFuwCHZqXm6g2r+cXff8ExI47hgMEHZKWmlG2ZDPNKgcKtrClMr5MkSZIkSZIkScqaVaueZfXqSoYNOx/Iz0rNG2ffyLL1y7L+VJ6UTZkM894BTgwh9G3uYgihBDgReDcbwSRJkiRJkiRJkjapqppEQUF/Bg06PSv11m1cx6RnJzFul3EcPPTgrNSUkpDJMO8mYAjwjxDCqSGE4SGE7unP04BKYBAwOYmgkiRJkiRJkiRp+7Ru3VssWfInhgw5m/z8nlmpefPsm1m8brFP5anDK2jtwhjjDSGE3YBvArc2syQA18cYp2QrnCRJkiRJkiRJ0rx5vySEQoYOPTcr9dZvXM/Pnv0ZR+x0BIfukJ3370lJafUwDyDG+K0Qwp3AV4D9gb7ASuAFYGqM8dnsR5QkSZIkSZIkSdur2tolVFdPpbx8PEVFg7JS83cv/o7qNdXcccIdWaknJSmjYR5AjPE54LkEskiSJEmSJEmSJP2HBQtupKFhPcOGXZCVehvqNnD101dz2A6H8YkdP5GVmlKSMh7mSZIkSZIkSZIk5UJ9fQ3z599A//5H07PnHlmpOfWlqcxfPZ+px00lhJCVmlKS8jK9IYRwbAjhzhDCyyGEt5uc3z2EcHEIYWh2I0qSJEmSJEmSpO1RKnUbGzcuYtiwC7NSb2P9Rn7y9E/4aMVHOXKnI7NSU0paq5/MC43j6anAKelT64HuTZYsB64CAvDTLOWTJEmSJEmSJEnboRgbmDfvGnr12p9+/Q7PSs3pr0zn/ZXvc+NnbvSpPHUamTyZdw4wHrgV6A9ManoxxlgNPAN8JmvpJEmSJEmSJEnSdmnZsodYt+5Nhg27MCuDt7qGOq586koOGnIQR+16VBYSSrmRyTDvTOBl4GsxxpVAbGbNW8BO2QgmSZIkSZIkSZK2X1VVkygqqmDgwC9kpd4dr97Bu8vf5Ycf/6FP5alTyWSYNxJ4PMbY3BBvk0XAwPZFkiRJkiRJkiRJ27PVq59nxYqZVFR8m7y8wnbXq2+o54qnrmDf8n05dsSxWUgo5U6r35kH1AHFW1kzFFjT9jiSJEmSJEmSJGl7V1V1Dfn5vRk8+KtZqXf3a3czZ+kc7vn8PT6Vp04nkyfzXgfGhhZ+y0MIxcARwIvZCCZJkiRJkiRJkrY/NTX/ZtGiuxk8+CwKCvq2u15DbOCKp65gz4F7cvzux2choZRbmQzzpgMfAX4ZQviP+0II+cAvgCHA1KylkyRJkiRJkiRJ25V5864FoKLivKzU+983/pfXF7/OpR+/lLyQyVhE6hgy2WbzZuCzwHnA54HVACGEe4CP0jjI+1OM8Q/ZDilJkiRJkiRJkrq+urqVLFz4G8rKvkhx8Q7trtcQG7j8ycsZWTqSz+/x+SwklHKv1SPoGGM9cAwwEegGjAAC8N9AD+ByGod8kiRJkiRJkiRJGVuw4DfU169m2LALs1LvgX89wCupV7jksEvIz8vPSk0p1zJ5Mo8YYx1wWQjhxzQO80qBlcCb6WGfJEmSJEmSJElSxhoaNjJ//rX063c4vXsf0O56MUYuf/JydinZhS/t/aUsJJS2jYyGeZvEGCPwryxnkSRJkiRJkiRJ26nFi+9mw4Z5jBhxc1bqPfT2Qzy/8Hl+99nfUZDXpnGI1CH4pkdJkiRJkiRJkrRNxRipqppEjx6707//UVmpN/GJiezYd0fG7zM+CwmlbSejUXQIoQI4H9gPqAAKm1kWY4y7ZCGbJEmSJEmSJEnaDqxY8Rhr1rzEyJG/JYT2P4f06LuPUjm/kpuPuZnC/OZGGVLn0ephXghhLPAgUAzUAan054eWZiWZJEmSJEmSJEnaLlRVXUNhYRllZSe3u1aMkYlPTqSiTwWn7XtaFtJJ21YmT+b9DMgHTgVujzE2JBNJkiRJkiRJkiRtL9aufY1lyx5i+PDLyc8vbne9J95/gqf//TQ3fPoGigqKspBQ2rYyGebtDdwRY7wtqTCSJEmSJEmSJGn7UlX1C/LyujN06NlZqTfxiYkM7jWYMw84Myv1pG0tk41nlwPLkgoiSZIkSZIkSZK2Lxs2VJNK3cagQWdQWFja7npP//tpHp/7OBcfejHFBe1/yk/qCDIZ5v0Z+ERSQSRJkiRJkiRJ0vZl/vwbiHEjFRXnZ6Xe5U9eTlnPMs468Kys1JM6gkyGeT8A+oYQJocQeiYVSJIkSZIkSZIkdX319WtZsGAKAwYcR48eu7a7XuW8Sv76zl+56JCL6FHYIwsJpY6h1e/MizEuCSEcBVQCp4YQ5gArm18aj8xWQEmSJEmSJEmS1PUsXHgrdXXLGTbsoqzUu/zJyyntXsrZo7Lz7j2po2j1MC+EsCfwOFCSPrV/C0tje0NJkiRJkiRJkqSuK8Z65s37JX36fJS+fce0u97zC57nL2/9hSuPuJJe3XplIaHUcWSyzeYvgFLgR8COQGGMMa+Zn/xEkkqSJEmSJEmSpC5hyZL7qal5N2tP5V3x1BX0K+7HuQefm5V6UkeSyTDvEOB/Y4xXxBirYoz1SYWSJEmSJEmSJEldV1XVNRQX78yAAce1u9YrqVe4/837+fbob9OnqE8W0kkdSybDvFpgbkI5JEmSJEmSJEnSdmDlymdZteo5KirOJ4T2b/Z3xZNX0KeoD+eNPi8L6aSOJ5Nh3kzg4IRySJIkSZIkSZKk7UBV1TUUFJQwePAZ7a71+uLXuef1e/jmwd+kpHtJFtJJHU8mw7yLgT1CCN8LIYSkAkmSJEmSJEmSpK5p3bq3WbLkPoYMOZv8/J7trnflU1fSo7AH53/0/CykkzqmggzWXgr8E7gS+FoI4SVgZTPrYozxzGyEkyRJkiRJkiRJXce8eb8ihEKGDj233bXmLJ3Dnf+8k++M+Q6lPUqzkE7qmDIZ5p3e5J93Sv80JwIO8yRJkiRJkiRJ0gc2blxKdfUtlJefTFHR4HbXu+qpqyjKL+KCQy7IQjqp48pkmNfS8E6SJEmSJEmSJGmL5s+/kYaG9QwbdmH7a62fz22v3Ma3Rn+Lsp5lWUgndVytHubFGN9PMogkSZIkSZIkSeqa6utrmD//Bvr3P4qePfdsd73b/307BXkFXDTmoiykkzq2vNYuDCG8G0KYnGQYSZIkSZIkSZLU9Sxa9Ac2bkwxbFj7h2/vr3ifGakZnHXgWQzu3f7tOqWOrtXDPGAgsDKpIJIkSZIkSZIkqeuJsYGqqmvo1Ws/+vU7ot31rn76avLI4+JDL85COqnjy2SY9xqwS1JBJEmSJEmSJElS17Ns2cOsW/cGFRUXEkJoV603l7zJb1/8LZ8e/Gkq+lRkKaHUsWUyzLsOODaEsE9SYSRJkiRJkiRJUtdSVXUN3boNpazsi+2qE2Pk/IfPp2dhT87Y8YwPzkldXUEGa+cBjwLPhBBuBmYB1cCH/k2JMT6ZnXiSJEmSJEmSJKmzWr36BVaseIydd/4ZeXmF7ap19f9ezcPvPMwvPvUL+m3oR4yRGTNmUFxczNixY7MTWOqAMhnmzaRxcBeAC2hmiNdEfjsySZIkSZIkSZKkLqCq6hry83szZMhZ7aqzoW4Dk9+ezAAGsNvy3aAHzJgxg8rKSkaPHk2Msd1beEodVSbDvIlseYAnSZIkSZIkSZIEQE1NFYsW3UVFxXkUFPRtV63r/3E982vmc/nIy3l+1vOMGDGCOXPmMHr0aMaNG+cgT11aq4d5McbLEswhSZIkSZIkSZK6kHnzrgWgouJb7aqTWpNi4hMTOWbEMVzyxUuYOHHiB9cc5Gl7kLetA0iSJEmSJEmSpK6lrm4lCxf+mrKyL1BcvGO7av3gbz+gpq6GSf81iRkzZvzHtRkzZhCjmwqqa8tkm01JkiRJkiRJkqStWrjwt9TXr2bYsAvbVWf2gtnc+tKtXHDIBbw3+70P3pFXXFxMSUkJlZWVgE/oqWtrcZgXQniMxnfknRZjnJc+bo0YYzwyK+kkSZIkSZIkSVKn0tCwkXnzrqVfv7H07n1gm+vEGPnWw99iYM+B/OgTP+KF51744B15TzzxBOPGjQOguLjYQZ66tC09mTc2/dljs+Ot8XlWSZIkSZIkSZK2U4sX/5ENG6rYbbcp7apzxz/v4NmqZ/ndZ39Hn6I+jB07lhjjB4O7EIJP5Gm70OIwL8aYt6VjSZIkSZIkSZKkpmKMVFVNokePj1BaenSb66ytXcvFj1zMgYMP5PT9Tv/g/OaDOwd52h60OKALIZwXQjg4l2EkSZIkSZIkSVLntWLFTNaseZGKigsIoe3PCF399NXMXz2f6z59HXntqCN1BVv6N+BXwFGbDkII9SGEHyYfSZIkSZIkSZIkdUZVVZMoLCyjvHx8m2vMXTGXnz/7c76895cZM2xMFtNJndOWhnk1QFGT45D+kSRJkiRJkiRJ+g9r177OsmUPMnToueTnF7e5znce+Q75efn89JM/zWI6qfPa0jDvPWBcCKG8ybmYcB5JkiRJkiRJktQJVVX9gry87gwZcnabazz+3uPc8/o9fP9j36eiT0UW00md15aGeTcDBwALQgj16XOXpbfb3NJPXfKxJUmSwx313AAAIABJREFUJEmSJElSR7FhQzWp1HQGDTqdbt0GtKlGXUMd357xbYb3G86Fh1yY5YRS51XQ0oUY43UhhEXAZ4AhwOHAv4G5uYkmSZIkSZIkSZI6gwULJhPjRioqzm9zjd++8FteSb3CPZ+/h+6F3bOYTurcWhzmAcQY7wTuBAghNAC3xhgn5iKYJEmSJEmSJEnq+Orr1zJ//hQGDPgcPXrs1qYay9cv59LHLmXs8LH89+7/neWEUue2pW02N/djYGZCOSRJkiRJkiRJUidUXf176uqWUVHR9q0xL5t5GctrlnPtUdcSQshiOqnz2+KTeU3FGH+cZBBJkiRJkiRJktS5xFhPVdUv6N17NH37HtqmGq8teo3Jsybz9QO/zj7l+2Q5odT5tXqYt0kIIR8YCZQA+c2tiTE+2c5ckiRJkiRJkiSpg1uy5P+oqXmHnXe+uk1P1MUYOX/G+fQu6s3Ew33Ll9ScjIZ5IYQfAucDfbeytNkhnyRJkiRJkiRJ6jqqqiZRXLwTAwce36b7H5jzAI+8+wjXHXUdA3oMyHI6qWto9TAvhHAxje/NWwlMB6qAuoRySZIkSZIkSZKkDmzlyudYtepZdt31Oho39cvMhroNXDDjAvYYuAffOOgbCSSUuoZMnsz7GjAfOCDGuDihPJIkSZIkSZIkqROoqrqGgoJ+DBp0Rpvu/9Xff8U7y9/hkfGPUJhfmOV0UteRl8HaYcD9DvIkSZIkSZIkSdq+rV//DkuW3MeQIWdTUNAr4/sXrl7IFU9dwedGfo5P7vzJBBJKXUcmw7wUGb5jT5IkSZIkSZIkdT3z5v2KEPIZOvTcNt3//b99n9r6Wq751DVZTiZ1PZkM8+4G/iuEUJRUGEmSJEmSJEmS1LFt3LiMhQtvobz8ZIqKhmR8/z/m/4Pfv/x7LvjoBezSf5cEEkpdSybDvB8BC4F7Qgg7JZRHkiRJkiRJkiR1YAsW3ERDwzoqKi7M+N6G2MB5D53HoF6D+MFhP0ggndT1ZLJt5mtAITAEODqEsBJY0cy6GGN0lC5JkiRJkiRJUhfT0LCB+fOvp6RkHL167ZXx/X945Q9Uzq9k6uem0ruodwIJpa4nkyfz8oA64N/pn5VAaOYnk5rNCiGMDyHE9M9XW1hzTAhhZghhZQhhTQihMoRw2lbqnhZC+Ed6/cr0/cdsYX1+COHbIYRXQgjrQwjLQggPhhDGtPc7SpIkSZIkSZLU2aRSt1NbW82wYRdlfO/qDav57qPf5eChBzN+3/EJpJO6plY/mRdjHJ5gjg+EEIYB1wNrgF4trDk3vWYpcBtQC5wITA0h7B1j/ND/ioQQJgEXAvOA3wDdgJOAB0II34wx3rDZ+gDcma77L+AGoD/wReDJEMIJMcY/tf8bS5IkSZIkSZLU8cUYqaq6hp4996Gk5MiM7//J0z9h4ZqF3PfF+8gL7X4uSNpudKh/W9IDtFtpHNLd1MKa4cAkYBlwUIxxQozxfGAf4B3gwhDCIZvdM4bGQd47wD4xxvNjjBOAA9N1JqXrNnUSjYO8Z4H9YozfiTGeCRwO1AO/CSH4DLAkSZIkSZIkabuwbNkM1q17jWHDLqLx/85vvXeXv8s1z13DqfueyuiK0QkllLqmNg/zQgh9QgjDQgh9spjnPOAI4AxgbQtrvgIUATfEGOduOhljXA5clT78xmb3bDq+Mr1u0z1zgcnpemdsds/Z6c9LY4w1Te6ZBdwFDKRx2CdJkiRJkiRJUpdXVTWJbt2GUFb2xYzvvfCvF1KYV8hPjvxJAsmkri2jYV76HXLfCyG8DSwH5gLLQwhvp8+3etvOZmrvDlwNXBtjfHILS49Ifz7czLWHNlvTpntCCEXAGGAd8FQGfSRJkiRJkiRJ6nJWr36JFSv+RkXFt8jL65bRvY+++yj3v3k/lxx2CUN6D0koodR1tXr4FkLoRuMw7BNABKqAhcBgYDhwJXBUCOFTMcbaTEKkh4DTgX8DP9jK8pHpzzmbX4gxLgwhrAUqQgg9YozrQgg9gaHAmhjjwmbqvZX+HNHk3K5APvBujLGulfdIkiRJkiRJktQlzZt3Dfn5vRg8+KyM7qtrqOPbD3+bnUt25vxDzk8ondS1hRhj6xaG8D0at7H8M3BhjPGtJtd2Aa4BjgUuiTFenVGIECYClwAfizE+lz53GfA/wNdijL9tsrYWKAQKmxu0hRDmA0OAIenh3hBgPjA/xljRzPpCoBaojTEWpc+NAZ4BnokxfqyZe3ajcZg4J8Y4cvPr6TVnAWcBDBw48MC77767tX8c28yaNWvo1avXto7RKmZNhlmTYdZkmDUZZk2GWbOvs+QEsybFrMkwazLMmgyzJsOs2ddZcoJZk2LWZJg1GS1nXQx8CTgemJBRzfvm38d1b1/H5XtezscGfOj/bm+zrvHn2vGYNRmHH3748zHGg9pcIMbYqh/glfRPXgvX89LXX21tzfR9BwN1wM82O38ZjU8AfnWz87Xp8wUt1FuQvj4ofTwkfTyvhfWF6es1Tc6NSZ97uoV7RqSvv9ma7/j/2LvvKKuqs4/j3z0w9F6lV0FALLEkamJviaLYookBu4lRg4jdiMTeEY0lJhZswY6CsaBiRWPs2FAYehOkSZ223z/m6os45V64dy4z8/2sddfxnP3sc3/jWoxr8bj37tWrV6wKJk6cmO0ISTNrZpg1M8yaGWbNDLNmhlnTr6rkjNGsmWLWzDBrZpg1M8yaGWZNv6qSM0azZopZM8OsmVFW1qlTz40TJ9aKq1dPT+l9i1ctjs2vaR73Gb1PLC4u3vSA66kO/143R2bNDOC9mELvbMNPKmfm9QSeizEWl9EULKbkLLkeyb5wve01vwIuSXLa8sS1aRnjTRLXFUnWN92gLpXvWF7GuCRJkiRJkiRJVV5h4QrmzfsHrVsfSf36XVOaO3zicFasW8HNB95MCCEzAaUaIJVmXj5Q0XrFhkBBCu9sRMkqtz7A2hBC/P5DyRabAP9MPLs5cT8lcf3JeXUhhHaJDHNijKsBYoyrKNlms1FifENbJq7rn8E3FSgCuicajsnMkSRJkiRJkiSpWpk//26KilbQqdM5Kc2bvHAyd75/J6fteBpbt9k6Q+mkmiGVZt4nwJEhhNalDYYQWgFHAh+n8M51wN1lfD5M1LyZuH87cf9K4npgKe/79QY1bHCf1JwY4zpgEtAA+FUK3yNJkiRJkiRJUrVQXFzAnDk307Tp7jRpkvxxXzFGhjw/hGb1mvG3vf6WwYRSzZBKM+/vQGvg3RDCSSGE7iGE+iGEbiGEE4D/Jsb/nuwLY4xrYownl/YBnkmUjU48eyRxfy8lTcAzQghdv39XCKE5cFHi9s4Nvur7+4sTdd/P6UrJaZ3rEu9d3x2J6xUhhHrrzdkJOJqSEz+fSPZnlSRJkiRJkiSpKlm06HHWrZuV8qq8p758iokzJnL5XpfTon6LDKWTao7StpAsVYzx0RDCdsAFwF2llATguhjjo+kKV0aO6SGEc4FbgPdCCI9QsgXokUBH4MYY49sbzJkUQrgJOBv4JITwOFCHkqZcC+DMGOOMDb5qDHB44r0fhhDGAS0Tc2oBp8QYVyBJkiRJkiRJUjUTY2T27BuoX783LVselPS8tYVrGfbiMPq36c+pO5yawYRSzZF0Mw8gxnhRCOEZ4CRge6ApsJySLTHv2bCJlikxxltDCDOAc4DBlKww/Bz4a4xxdBlzhoUQPgHOAE4FioEPgOtjjONLqY8hhN9Rst3micCZwFrgdeCKGOOktP9gkiRJkiRJkiRtBpYte42VKz+gV69/EELym/zdOOlGZiybwcuDX6Z2TkotCEllSPlPUozxHeCdDGTZ8HtGACPKGR8HjEvxnaOBUpt9ZdQXAiMTH0mSJEmSJEmSaoQ5c24kN7c1bdsOSnrO3BVzuerNqzi8z+Hs3W3vDKaTapZUzsyTJEmSJEmSJEnV3KpVX/Dtt+Pp0OF0atWqn/S88186n6LiIm7Y74YMppNqnnKbeSGEuiGEd0MIL4cQcsupq5Ooeae8OkmSJEmSJEmStHmbM2ckOTn1aN/+z0nPmTR7Eg9Nfohzdj2Hbs27ZTCdVPNUtDLvWGAH4MYYY0FZRTHGfOB6YOfEHEmSJEmSJEmSVMXk5y9kwYL7adv2OOrUaZ3UnOJYzJDnh9C+cXsu+OUFGU4o1TwVNfMOB/JijP+p6EUxxueBr4Gj0hFMkiRJkiRJkiRVrrlzbyPGfDp1Gpr0nNEfjea9ee9x3b7X0ahOowymk2qmipp52wOvpvC+14HtNjqNJEmSJEmSJEnKkrXMnXs7LVseQoMGvZOasWLdCi58+UJ26bgLv+//+wznk2qm2hWMtwIWpvC+hUDLjY8jSZIkSZIkSZKy4wUKC7+lU6dhSc+44vUrWLhqIeN+N44QQgazSTVXRSvz1gCprIltBKzd+DiSJEmSJEmSJKmyxVgEPE7jxjvTtOkvk5rz9bdfc/M7N3PCdiewU4edMhtQqsEqaubNBlL5E7gjMGvj40iSJEmSJEmSpMq2ePE4YA6dOg1LeoXdsBeHUbd2Xa7a56rMhpNquIqaea8Cvwgh7FjRi0IIOwC7AhPTkEuSJEmSJEmSJFWCGCOzZl0DbEGrVocnNeeFqS8w7qtxXLL7JWzRaIvMBpRquIqaeX8HIvBYCKFPWUUhhK2Ax4Ai4Pb0xZMkSZIkSZIkSZm0aNHjfPfdf4E/kJNTu8L6gqICznrhLHq26MmQnw/JfECphiv3T2WMcUoI4TJgBPBhCOFx4BVgDiVNvo7APsARQF1geIxxSkYTS5IkSZIkSZKktCguXkde3vk0bNifVasOTGrObf+7jS8Xf8kzxzxD3dp1M5xQUoUt9hjjZSGEQuBS4PfA7zYoCUABcHGM8er0R5QkSZIkSZIkSZkwd+5trF07nW22eYFPPqlVYf2iVYsY8eoIDuhxAAf3OrgSEkqqeL0sEGO8KoTwEHAisBvQjpIm3jzgTeDeGOPMjKWUJEmSJEmSJElpVVDwLTNnXk6LFgfSosX+wKsVzrlk4iWszF/JyANGEkLIeEZJSTbzABLNukszmEWSJEmSJEmSJFWSGTMup7BwBd27X59U/UcLPuKu9+/iLz//C31a98lwOknfy8l2AEmSJEmSJEmSVLlWr/6aefNuo127k2jUaOsK62OMDHl+CC0btOTSPVz3I1WmpFfmSZIkSZIkSZKk6iEv7wJCqEvXrpclVf/Y54/x+szXufOgO2lev3mG00lanyvzJEmSJEmSJEmqQZYte5PFi5+kc+fzqVt3iwrrVxes5twJ57Jt2205+WcnV0JCSetzZZ4kSZIkSZIkSTVEjMVMmzaMOnU60KnTsKTm3DDpBmYtn8X9A++nVk6tDCeUtCGbeZIkSZIkSZIk1RDffPMI3333LlttdR+1ajWosH7W8llc8+Y1HNX3KPboukclJJS0IbfZlCRJkiRJkiSpBigqWkte3oU0arQdbdsOSmrO+S+dTyRy/X7XZzidpLKU2cwLISwJIZy33v3wEMLulRNLkiRJkiRJkiSl09y5t7Bu3Ux69LiRECpe6/PGzDcY8+kYztv1PLo061IJCSWVprw/rc2AeuvdjwD2zGQYSZIkSZIkSZKUfvn5i5k580patDiI5s33/vFgjD+5LyouYsjzQ+jYpCPn7XYekrKnvDPzFgIdKyuIJEmSJEmSJEnKjJkz/0ZR0Sp69Nhgu8wRI2DZMhg5suQ+Rhg6lHub5fFh+JB/H/FvGtZpWOl5Jf2/8pp57wCDQghFwPzEsz1DCBW9M8YYL09HOEmSJEmSJEmStGlWr57CvHl30r79qTRs2Of/B2IsaeSNGlVyP3AgDB3Ksn+M4qLz6rNb5904ut/R2Qkt6QflNfPOBXoBf1zv2Z5UvNVmBGzmSZIkSZIkSZK0GZg27XxycurTteuIHw+E8P8r8kaNgk6dYNQoLr9gexbnfMTzv76FJBb4SMqwMpt5McapIYT+QDegA/AqcB8wulKSSZIkSZIkSZKkTbJs2Wt8++3TdOt2FXXqtPlpwfcNvcTqvC9bwS0NJnPStifxs3Y/q+S0kkpT3so8YozFwDRgWqL7PiPG+FplBJMkSZIkSZIkSRsvxmKmTj2bunU70bHjWWUVwdChP9yefQA0KMrhyr2vqKSUkipSbjNvfTHGnEwGkSRJkiRJkiRJ6bNw4cOsXPkBW231ALVq1f9pwfeNvFGjYMgQ3ulawHMr4cYX8mmz7OqSFXtusyllXdLNvPWFEDoC2wPNgOXABzHGOekMJkmSJEmSJEmSNk5R0RqmT7+IRo12oG3b35deFAI0awZDhpB/w7XcftOW9GrZizN23r/kuY08abOQUjMvhNAZuAvYr5SxCcCfYowz0hNNkiRJkiRJkiRtjDlzbmbdutn06fMAIZSz8d6IERAjt759E7PXzObZw56lzum/tpEnbUaSbuaFELYA3gI6ADOA14H5QDvgl8D+wJshhB1jjAvSH1WSJEmSJEmSJFUkP/8bZs26mpYtD6VZsz0qrJ+6dBrDXx3Oz1v8nN9s+ZtKSCgpFamszLuEkkbe+cBNMcai7wdCCLWAocB1wF+BM9IZUpIkSZIkSZIkJWfGjEspLl5Djx7XVVhbVFzEcWOPIzcnl2G9hlVCOkmpKmdt7U8cBLwYY7x+/UYeQIyxKMZ4A/AicHA6A0qSJEmSJEmSpOSsWvU58+b9k/bt/0SDBr0qrL9h0g1Mmj2J235zG63rtq6EhJJSlUozbwvg/Qpq3k/USZIkSZIkSZKkSjZt2nnUqtWQLl0urbD2k4WfcMnESziizxH8vv/vKyGdpI2RSjNvOdClgprOiTpJkiRJkiRJklSJli59mSVLnqVLl4upU6dVubXrCtcx6KlBtKjfgjsOuoMQQiWllJSqVJp5bwJHhhB2LW0whPBz4KhEnSRJkiRJkiRJqiQxFjF16jDq1u1Chw5/qbD+b6/9jU8WfsI/B/yT1g3dXlPanNVOofZKSs7Ney2EMAaYCMynZFvNPYHfAcXAVWnOKEmSJEmSJEmSyrFgwQOsWvUxffr8m1q16pVbO2n2JK5961pO3O5EBvQeUEkJJW2spJt5McYPQghHAvcBxwLrb6AbgCXAiTHGis7VkyRJkiRJkiRJaVJUtJrp0y+mceOdadPm6HJrV+Wv4rixx9GpSSdGHjiykhJK2hSprMwjxjg+hNAFOBT4GdCUkjPyPgTGxhhXpT+iJEmSJEmSJEkqy+zZN5KfP49+/R6t8Oy78yacx9QlU5l43ESa1G1SSQklbYqUmnkAiYbdw4mPJEmSJEmSJEnKknXr5jNr1rW0anUETZvuVm7ti9Ne5Pb3bmfoL4ayZ9c9KyegpE2Wk+0AkiRJkiRJkiRp48yYcSkx5tO9+zXl1i1ds5QTnz6RPq36cOXeV1ZSOknpkPLKPEmSJEmSJEmSlH0rV37K/Pl307HjX2jQoGe5tWc+dyYLVi5g7DFjqZ9bv5ISSkoHV+ZJkiRJkiRJklQF5eWdS+3aTejS5ZJy6x7//HEemvwQl+x+CTu237GS0klKF1fmSZIkSZIkSZJUxSxZ8iJLljxPjx43kpvbosy6BSsX8Kfxf2KHdjtw0a8uqsSEktLFlXmSJEmSJEmSJFUhMRYxbdo51KvXnQ4dTi+nLnLquFNZmb+SBw57gNxauZWYUlK6uDJPkiRJkiRJkqQqZMGC+1i1ajJ9+z5KTk7dMuvu/ehexn01jpv2v4k+rftUYkJJ6ZT0yrwQwishhMszGUaSJEmSJEmSJJWtsHAl06f/lSZNdqF16yPLrJuxbAZnPX8We3TZgyG/GFKJCSWlWyrbbP4CqJWpIJIkSZIkSZIkqXyzZ19Pfv4CevS4kRBCqTXFsZjjxx4PwH0D7yMneOKWVJWlss3m10CnTAWRJEmSJEmSJEllW7duLrNnX0/r1r+ladNdyqwb9c4oXpv5Gncfcjddm3WtvICSMiKVdvy/gINCCJ0zFUaSJEmSJEmSJJVu+vRLiLGI7t2vKbPm80Wfc+HLFzKg1wBO2O6ESkwnKVNSWZk3DtgPeCuEcC3wP2ABEDcsjDHOSk88SZIkSZIkSZK0cuXHLFhwHx07nk39+t1KrSkoKmDwU4NpVKcRdw24q8xtOCVVLak08/IoadwFYFQ5dTHF90qSJEmSJEmSpDLEGJk27Rxq125Oly4Xl1l31RtX8f7893n8qMfZotEWlZhQUial0nS7n1JW4UmSJEmSJEmSpMxZsuQ5li59iZ49R5Gb27zUmvfmvcflr1/OH7b5A0f0PaKSE0rKpKSbeTHG4zOYQ5IkSZIkSZIkbaC4uJBp086lfv2etG//p1Jr1hSsYdBTg9ii0Rbc+utbKzmhpExzO0xJkiRJkiRJkjZTCxbczerVn9Ov35Pk5NQptebiVy7my8Vf8uIfXqRZvWaVnFBSpm1UMy+EsBXQB2gUY3wgvZEkSZIkSZIkSVJh4QqmTx9O06a/olWrgaXWvDrjVUa+M5I/7/hn9uuxXyUnlFQZclIpDiFsF0J4D/gMeBy4b72xPUIIq0MIA9IbUZIkSZIkSZKkmmfWrOsoKPiGHj1uJITwk/EV61Zw/Njj6dmiJ9ftd10WEkqqDEk380IIvYBXgd7AKOC5DUpeB5YAR6YrnCRJkiRJkiRJNdHatbOZM+dG2rT5PU2a7FRqzdDnhzJ7xWzuH3g/Des0rOSEkipLKivzLgXqADvHGM8G/rf+YIwxAm8Dpf9WkSRJkiRJkiRJSZk+/a/EGOne/apSx8dNGcc9H93D+budzy6ddqnkdJIqUyrNvH2AJ2OMX5RTMwtov2mRJEmSJEmSJEmqub777gMWLryfjh3Pol69Lj8ZX7RqESePO5lt227LiD1HVH5ASZWqdgq1zYA5FdTkULJ6T5IkSZIkSZIkpSjGyLRpw8jNbUWXLheWOn7as6exdM1SJgyaQJ1a/pW8VN2l0sz7BuhZQU0/YPbGx5EkSZIkSZIkqeb69tvxLFv2Kltu+Xdq1276k/GHJz/ME188wTX7XMM2bbfJQkJJlS2VbTZfAQaEEHqXNhhC2ImSrThfSEcwSZIkSZIkSZJqkuLiAqZNO5f69XvTrt2pPxmfs2IOp//ndHbttCvn7HpOFhJKyoZUmnlXA4XA6yGE00icjRdC6Je4Hwd8B9yQ9pSSJEmSJEmSJFVz8+f/kzVrptCjx3Xk5OT+aCzGyIlPn0hBcQGjB46mVk6tLKWUVNmS3mYzxjglhHAE8G/g74nHAfgkcV0GHB5jnJX2lJIkSZIkSZIkVWOFhcuZMeNSmjXbk5YtB/xk/I737mBC3gTuOOgOerao6EQsSdVJKmfmEWN8PoTQDTgO+AXQElgOvAPcG2Nckv6IkiRJkiRJkiRVbzNnXk1BwWJ69LiREMKPxr7+9mvOefEcDuhxAH/c4Y9ZSigpW1Jq5gHEGJcBoxIfSZIkSZIkSZK0CdauncmcOTfTtu0gGjf+2Y/GCosLOW7scdStXZe7D7n7J40+SdVfys08SZIkSZIkSZKUPnl5FxFCoFu3K38ydv1b1/P2nLd5+PCH6dCkQxbSScq2nFQnhBCODSG8HEJYEkIoTFxfDiEcm4mAkiRJkiRJkiRVVytWvMs33zxMx45nU69epx+NfbzgYy599VKO6nsUx2x9TJYSSsq2pFfmhRBygceBg4EAFAKLKDk3by9gzxDCb4EjY4wFGcgqSZIkSZIkSVK1EWNk2rRzyM1tQ+fOF/xobF3hOgY9NYiWDVpy+0G3u72mVIOlsjLvQmAA8F9Kmnf1YoztgHrA3sC7lDT6zk93SEmSJEmSJEmSqpvFi8eyfPkbdOt2GbVrN/7R2KWvXsrkbybzrwH/olWDVllKKGlzkEozbzAwFdgzxvhajLEYIMZYHGN8FdgTyAOOT3NGSZIkSZIkSZKqleLifPLyzqNBg75sscVJPxp7a9ZbXD/pek7e/mQO6nVQlhJK2lyk0szrCDwdY8wvbTDGuA54GvAETkmSJEmSJEmSyjFv3p2sWTOVHj2uJyfn/0/EWpm/kuPGHkfnpp256YCbsphQ0uYi6TPzgHlAbgU1uYk6SZIkSZIkSZJUioKCpcyY8TeaNduHFi1+/aOx8yacR97SPF49/lUa121cxhsk1SSprMx7GDgyhNCktMEQQjPgSOChdASTJEmSJEmSJKk6mjXrKgoLl9Kz542EEH54/sLUF7jjvTs4e5ez2b3L7llMKGlzkkoz7zLgPeDdEMLvQwgdQwi5ieuxwDvAu8DlmQgqSZIkSZIkSVJVt2bNdObMuYUttjieRo22/eH50jVLOfGZE+nbui9X7H1FFhNK2tyUuc1mCKEYiKUNAQ+U8XxLYE1575UkSZIkSZIkqabKy7uAEGrTrduP18Wc8dwZfLPqG5455hnq1a6XpXSSNkflNd1ep/RmniRJkiRJkiRJStHy5W+zaNGjdOkynLp1O/zw/LHPHuPhyQ9z2Z6XsUP7HbKYUNLmqMxmXoxxz0rMIUmSJEmSJElStRVjZNq0YdSpswWdOp37w/P5383ntGdPY6f2O3Hhry7MYkJJmyu3w5QkSZIkSZIkKcMWLXqCFSveplevf1K7diOgpMF3yrhTWFWwivsPu5/aOf6VvaSf8jeDJEmSJEmSJEkZVFy8jry882nYcGvatTvhh+d3f3g3z379LDcfcDNbtdoqiwklbc5SbuaFEAYA2wEdgdxSSmKM8aRNDSZJkiRJkiRJUnUwd+5trF2bxzbbPE8ItQCYvnQ6Q18Yyl5d9+LMn5+Z5YSSNmdJN/NCCF2A8UBfIJRTGgGbeZIkSZIkSZKkmitGCAFYwcyZl9O8+QG0aHEAAMWxmOOfPp6ckMN9A+8jJ+RkN6ukzVoqvyFuAfoB9wJ7AlsC3Ur5dE9vREmSJEmSJEmSqpARI2Do0JIyikmMAAAgAElEQVSGHg9QWLiCHo+3KnkO3PzOzbw+83VGHTiKzk07ZzOppCoglW029wZeiDGenKkwkiRJkiRJkiRVaTHCsmUwahSrGy6D/cbSbkYfGl3xEAwZwmcLP+Wily/i0N6Hcty2x2U7raQqIJVmXgEwOVNBJEmSJEmSJEmq8kKAkSOJRKY1uAWK6tB12GcwZAgFN1zH4Ht2oXHdxtw14C5CKO9EK0kqkco2m28BW2cqiCRJkiRJkiRJ1UIILDh/O77dDZi3P3WXACNHcsUbV/LB/A+46+C7aNOwTbZTSqoiUmnmDQd2DyEck6kwkiRJkiRJkiRVdWvXzGDqp3+i6cfAN7sD8L9zfseVb1zJ4G0Hc1ifw7IbUFKVkvQ2mzHGD0MI+wDPhhD+CHwALC+9NF6eroCSJEmSJEmSJFUVsbiIL8f/Chrms9XC4/nv/juxZsjpDMq/jXZFjRh1wM3Zjiipikm6mRdCaApcDbQA9kh8ShMBm3mSJEmSJEmSpBpnztxbWdZ6Dr0/2Jf6V94Dr73GhQfWYsp/YUI8jGb1m2c7oqQqJulmHjAS2BN4CXgAmAcUZiCTJEmSJEmSJElVzqpVn5OXdwEtWw5gi7PGQgh8sPQDRn1yC2fsdDr7/ubv2Y4oqQpKpZl3MDApxrh/ukOEEK4FdgR6Aa2ANcBMYCzw9xjjt6XM2RX4K/ALoB4wFbgHuDXGWFTG9xwMnANsD9QCPgNujzGOLifbccDpQF+gCPgQuCHGOH6jflhJkiRJkiRJUrVTXFzAF18MpnbtxvTu/U9CTg7L1y7nuinX0atlL67d77psR5RUReWkUFsfmJShHEOBhsAEYBTwECWr/kYAn4QQOq1fHEI4FHgd2B14CrgNqEPJ6sExpX1BCOEMYBywNfAg8E+gPXBfCOGGMubcANwHtEvUPwj0B8Yl3idJkiRJkiRJEjNnXsnKle/Tq9ed1KnTlhgjp//ndBatW8T9A++nQW6DbEeUVEWlsjLvQ6B7hnI0iTGu3fBhCOFK4CLgQuDPiWdNKGmsFQF7xhjfSzy/BHgFODKEcEyMccx67+kK3AAsAXaMMc5IPL8M+B8wLITwRIzx7fXm7AoMA6YBO8UYlyaeXw+8D9wQQhj//bskSZIkSZIkSTXTihX/Y+bMK2jbdhCtWx8BwM3v3MxDkx/ihK4n8POOP89yQklVWSor8y4HBoQQfpnuEKU18hIeTVy3XO/ZkUBrYMz3jbz13vHXxO1pG7znRKAuJVt2zlhvzlLgqsTtnzaY8/39ld838hJzZlCyErAucEKZP5QkSZIkSZIkqdorKlrDF18Mom7ddvTseQsAE6ZN4JwJ53B4n8P5Q+c/ZDmhpKoulZV57YDxwCshhIcpWZ22vLTCGOP9acgGMCBx/WS9Z3snrs+XUv86sBrYNYRQN8a4Lok5z21Qk8z3PAdckqi5tPTokiRJkiRJkqTqLi/vQtasmcI220wgN7cZU5dM5ejHj6Zv676MHjia9ya9V/FLJKkcqTTz7gMiEIDBiU/coCYknm1UMy+EcA7QCGgK7Aj8kpJG3jXrlfVOXL/acH6MsTCEMB3oR8mWoF8kMWd+CGEV0DGE0CDGuDqE0BDoAKyMMc4vJerXiWuvVH4+SZIkSZIkSVL1sXTpK8ydO4oOHc6kRYt9+W7ddxw65lBCCDx9zNM0qtMo2xElVQMhxg37cWUUhnBcsi+NMY7eqDAhLADarvfoeeD4GOPC9Wq+omTbzS1jjFNLecdbwK7Art+fgRdCyAdygdwYY2Epc+YC7YH2ieZee2AuMDfG2LGU+lwgH8iPMdYt42c5FTgVoHXr1js8+uijpZVtVlauXEmjRlXjPy5mzQyzZoZZM8OsmWHWzDBr+lWVnGDWTDFrZpg1M8yaGWbNDLOmX1XJCWbNFLNmxuaRdSVwEiUnMt1FcazD8M+G8/a3b3PdNtexQ/MdSqo2i6zJMWtmmDUzqlLWvfba6/0Y444b/YIY42b3oaShdxgwBZgH/Gy9sa8oWf3Xs4y5kxLjv1jvWX7iWe0y5sxLjG+RuG+fuJ9TRn1uYnxtMj9Pr169YlUwceLEbEdImlkzw6yZYdbMMGtmmDUzzJp+VSVnjGbNFLNmhlkzw6yZYdbMMGv6VZWcMZo1U8yaGZtD1s8/Py5OnFgrLl/+3xhjjMNfGR4ZQRz1zqgf1W0OWZNl1swwa2ZUpazAe3ET+mY5G90FzKAY48IY41PA/kBLfrxt5/fn9DUtY3qTDepSmbMiyfqmG9RJkiRJkiRJkmqIRYueYuHC0XTpchFNmuzME58/wWWvX8YJ253AmTufme14kqqZzbKZ970Y40zgc6BfCKFV4vGUxPUn59WFEGoD3YBCIG+9ofLmtAMaUrIKb3Xie1dRss1mo8T4hrZMXH9yBp8kSZIkSZIkqfrKz/+Gr776I40a/YwuXf7KJws/YfDYwfyi4y+446A7CCFkO6KkaibpZl4IIS/Jz7Q0Z2yfuBYlrq8krgeWUrs70ACYFGNct97z8ub8eoOaTZkjSZIkSZIkSaqmYoxMmXIqhYUr6NPnfpasXcGhYw6lWb1mPPnbJ6lbu262I0qqhlJZmZcDhFI+zYCuiU+dFN9JCGGrEMIWpTzPCSFcCbShpDm3NDH0OLAYOCaEsON69fWAKxK3d2zwunuBdcAZIYSu681pDlyUuL1zgznf31+cqPt+Tlfg9MT77k3qh5QkSZIkSZIkVXkLFozm22+fpnv3q6hTrxe/fey3zP9uPk8d/RTtGpe2yZskbbrayRbGGLuWNRZC6AncQsl2lQekmOFA4PoQwuvANOBboC2wB9AdWACcsl6OFSGEUyhp6r0aQhgDLAEOAXonnj+yQfbpIYRzExnfCyE8AuQDRwIdgRtjjG9vMGdSCOEm4GzgkxDC45Q0K48GWgBnxhhnpPizSpIkSZIkSZKqoLVrZzJ16l9o2nQPOnY8iyHPn8XEGRMZPXA0O3fYOdvxJFVjSTfzyhNjnBpCOBz4FLgUuDCF6S8BdwG7AdtSstJvFSXn0T0A3BJjXLLB940NIewBXAwcAdQDplLSeLslxhhLyXhrCGEGcA4wmJIVhJ8Df40xji7j5xoWQvgEOAM4FSgGPgCujzGOT+FnlCRJkiRJkiRVUTEW8+WXxwORrba6j3s+vJdb372Vs39xNoO3HZzteJKqubQ08wBijGtDCBOA35FCMy/G+Ckl21am+n1vAb9Jcc44YFyKc0YDpTb7JEmSJEmSJEnV35w5t7Bs2av07n03Hy6ex2nPnsZ+3ffj2v2uzXY0STVA2pp5CYXAT86/kyRJkiRJkiSpKlq16nPy8i6gZcsBFDbYj8P/uROdm3ZmzJFjqJ2T7r9il6SfSttvmhBCK+AwYHa63ilJkiRJkiRJUrYUFxfwxReDqF27MZ2738K+Dx/OqoJVvDz4ZVrUb5HteJJqiKSbeSGE4eW8oxNwKNCU1M7LkyRJkiRJkiRpszRz5hWsXPkBffs+xhkvXsJ7895j7NFj6demX7ajSapBUlmZN6KC8RXAFTHG6zY+jiRJkiRJkiRJ2bdixbvMnHklbdsO4sFps3jwkwe5bM/LOHSrQ7MdTVINk0ozb68ynhcDS4EvY4yFmx5JkiRJkiRJkqTsKSpazRdfDKZu3XZMzxnIuROO4og+R3Dx7hdnO5qkGijpZl6M8bVMBpEkSZIkSZIkaXOQl3cha9ZMoWHnezn2sZPo17of9w28j5yQk+1okmqgVFbmSZIkSZIkSZJUrS1d+jJz595C0zZ/5NjnrqNWqMXTxzxNozqNsh1NUg1VbjMvhI373wxijMUbF0eSJEmSJEmSpOwoKFjGl18eT916WzL8o9l89e1XTBg0gW7Nu2U7mqQarKKVeQUb8c6YxHslSZIkSZIkSdqsTJ06hHXr5vOftYMZ//W93PrrW9mr217ZjiWphquo6TabkuZcMhoBLTctjiRJkiRJkiRJlW/RoidZuPB+PotHcP1/7+Wk7U/i9J1Oz3YsSSq/mRdj7FrRC0IIucCZwMWJRzM2OZUkSZIkSZIkSZUkP38hX331R+YVb8V57zzHLh134bbf3EYIIdvRJImNOhPveyGEo4AvgOuBAJwH9ElDLkmSJEmSJEmSMi7GyJQpp7B49Qou/HgFzes154nfPkHd2nWzHU2SgI082y6EsCtwI7AzUAjcAlwWY1yaxmySJEmSJEmSJGXUggX3sXDROK7N68HCVXN444Q3aNe4XbZjSdIPUmrmhRB6AtcAh1GyEu9x4IIYY14GskmSJEmSJEmSlDFr1sxg6tQh/GtOe95eMI37B97PTh12ynYsSfqRpJp5IYQWwKXAH4E6wNvAsBjjOxnMJkmSJEmSJElSRsRYzJdfHs/4efk8Mn0ew3YZxqBtB2U7liT9RLnNvBBCHeAs4EKgKTCNkpV4T1RCNkmSJEmSJEmSMmLOnFG8Nes1Rn5Vi/177M81+16T7UiSVKqKVuZNAToDSyhp6t0WYyzKeCpJkiRJkiRJkjJk1arPeefzCxjxRV26NOvEmCPGUDsnpVOpJKnSVPTbqQsQKTkf7xzgnBBCRe+MMcYuacgmSZIkSZIkSVJaFRcX8OGnx3LJZ8Wsi3V5+pinaV6/ebZjSVKZkvlfDQLQIvGRJEmSJEmSJKnKmjHjcv72wUdM+Q6ePuYJ+rbum+1IklSucpt5McacygoiSZIkSZIkSVImrVjxLte/dQUvfQOX73U5h/Q+JNuRJKlCNuskSZIkSZIkSdVeUdFq7nn9CO7Kixyx1UAu/tXF2Y4kSUmxmSdJkiRJkiRJqvZe/uhP/PWjOfRp1Z3Rhz1ICCHbkSQpKTbzJEmSJEmSJEnV2swFz3DKKw+QW7se4499mYZ1GmY7kiQlrdwz8yRJkiRJkiRJqsrW5S/h2CeOZu4aeOHYp+jarGu2I0lSSmzmSZIkSZIkSZKqrSFj9+StxWu5Ya9z2KfHgdmOI0kpc5tNSZIkSZIkSVK19K+3h/GPLyZzdM/tOftX12U7jiRtFJt5kiRJkiRJkqRq53+zX+bMl25im+YNufeo1wkhZDuSJG0Um3mSJEmSJEmSpGrlm5XfMHDMABrVhqeOeZb6dRplO5IkbbSUz8wLIeQC+wB9gEYxxssTz+sBTYDFMcbitKaUJEmSJEmSJCkJBUUFDHx4dxavXcMTBw+le5s9sh1JkjZJSivzQggHAjOAZ4EbgRHrDW8HzAeOTlM2SZIkSZIkSZJScsazJ/L2/Clcsu1WHLTdDdmOI0mbLOlmXghhR2AsEIGhwMPrj8cY3wGmA4elM6AkSZIkSZIkScn4x3t3cteHD3JM51yG7fccIXjSlKSqL5XfZJcAq4EdY4y3AF+XUvM/YNt0BJMkSZIkSZIkKVlvznqTM587gx2bw/X730H9+l2zHUmS0iKVZt5uwNgY44JyamYD7TYtkiRJkiRJkiRJyZu9fDaHP3IobesWc/NuB9Kh/YnZjiRJaVM7hdpGwOIKahqQ4jl8kiRJkiRJkiRtrNUFqxk45lBW5y9j5E5N2an/fYQQsh1LktImlcbbXKBfBTXbAXkbH0eSJEmSJEmSpOTEGDll3Cl8uOBDLupdzP7b30OdOm2zHUuS0iqVZt5zwAEhhF+WNhhC+DWwKzA+HcEkSZIkSZIkSfqRGH90e8Ok63l48sOc2DVwWL/BtG59WJaCSVLmpNLMuxpYBrwYQrgW6AsQQjgocf8YMB+4Ke0pJUmSJEmSJEk124gRMHToDw29579+jvMnnM8+zetw4pYd6NlzVHbzSVKGJH1mXoxxbghhf+BR4Nz1hp4BAjANODzGWNG5epIkSZIkSZIkJS9GWLYMRpU07GbvvwNnPngyvYthWL98+mx1L7m5zbIcUpIyI+lmHkCM8YMQQm/gIGAXoCWwHHgHeDrGWJj+iJIkSZIkSZKkGi0EGDkSgOV3juKvLdpQuyCfS3eHnp3PpHmLfbMcUJIyJ6VmHkCMsYiS1XjPpD+OJEmSJEmSJEmlCIG111/NkUtGMTcu5pYtoVvz3nTvfk22k0lSRiV9Zl4I4bQQQvNMhpEkSZIkSZIkqTT5hes4ckRfXuoB53ToTN/O0Oe57aiVUz/b0SQpo5Ju5gG3AfNCCI+GEA4KIaQyV5IkSZIkSZKkjVJYVMDvL92aZ+vM4LrcfhzYcwZdvt6ZJn97BIYOLTlTT5KqqVQachcB04EjKdlic14I4YYQwjYZSSZJkiRJkiRJqvGKios47unjeaLOVK4p/hk//+UMYCu6nPIGDBkCzZqVnKknSdVU0s28GOM1Mca+wM7AHUAt4GzgwxDCByGEv4QQWmcopyRJkiRJkiSphimOxZw67lQenvwwl+1xIbsf+A21azcDLienVh0YORJGjMh2TEnKqJS3yowxvhdjPANoT8kqvfFAP+BmYE4IYWx6I0qSJEmSJEmSapoYI2f+50zu+egeLv7lBfym8QQKCpbSv/84oFVJkSvyJNUAG33uXYyxIMb4ZIzxUEoae8MTQwPSkkySJEmSJEmSVCPFGDl3wrnc/t7tDNtlGEe3+Yrvvnufvn3/TePG22c7niRVqtqbMjmEEID9gOOAQ4FcoCgNuSRJkiRJkiRJNdTwicO58e0bOWOnMzitRy6zZz9Jjx430qqVa0kk1Twb1cwLIfShpIH3B6AdEICvgfsTH0mSJEmSJEmSUnbVG1dxxRtXcPL2J3PBdtvx9Vcn067dqXTsODTb0SQpK5Ju5oUQWgC/o6SJtwMlDbwVwN3AfTHGSRlJKEmSJEmSJEmqEUa+PZKLX7mYY/sfyzW//B2fTj6Q5s33Zcst/07wfDxJNVQqK/PmJ+oj8BJwH/BUjHFtBnJJkiRJkiRJkmqQO/53B2e/eDZH9j2S2/e/mE8++iX16/ekb9/HyMnJzXY8ScqaVJp50ylp4N0fY5yXmTiSJEmSJEmSpJrm3g/v5c//+TMDeg3gvgG38unHuxNCDv37jyc3t1m240lSViXdzIsxbpXJIJIkSZIkSZKkmuffk//NSc+cxH7d92PMEQ8y5bNDWLt2Jttt9wr163fPdjxJyrpUVuZJkiRJkiRJkpQ2T37xJIOeGsTuXXbnqaOfYlbemSxf/hp9+jxI06a7ZTueJG0WymzmhRCGU3I+3m0xxiWJ+2TEGOPlaUknSZIkSZIkSaqW/vP1fzjm8WPYucPOjPvdOL5d8HcWLLiXLl2G07btsdmOJ0mbjfJW5o2gpJn3CLAkcZ+MCNjMkyRJkiRJkiSV6uW8lzn8kcPp37Y//zn2P6xdMYG8vAto0+YYunYdke14krRZKa+Zt1fiOmuDe0mSJEmSJEmSNsobM9/gkDGH0KtlL178w4vk5E/liy/+QJMmv6B373sJIWQ7oiRtVsps5sUYXyvvXpIkSZIkSZKkVLw7910OevggOjftzIRBE2iYs5oPPh1Abm4btt56LLVq1ct2REna7OQkWxhCGBxC2KaCmq1DCIM3PZYkSZIkSZIkqTr5cP6HHPDgAbRu2JqXBr1Ey3oNmTx5AEVFq+jffzx16rTNdkRJ2iwl3cwD7gMGVlBzKHDvRqeRJEmSJEmSJFU7n33zGfs9sB9N6jbhlcGv0L7xFnzxxe9YtepT+vV7jEaNts52REnabJV3Zt7GqAXENL9TkiRJkiRJklRFffXtV+xz/z7UqVWHlwe/TJdmXZg69Wy+/XY8W255Gy1aHJDtiJK0WUt3M68XsDTN75QkSZIkSZIkVUHTl05nn/v3oTgWM/G4ifRs0ZO5c+9kzpyRdOjwFzp0+HO2I0rSZq/cZl4I4Z4NHg0MIXQtpbQW0Bn4FfBsWpJJkiRJkiRJkqqs2ctns/f9e7O6YDUTj5tIn9Z9WLLkRb7++gxatPgNPXvelO2IklQlVLQy7/j1/jkC2yU+pYnAf4Ghmx5LkiRJkiRJklRVzf9uPvvcvw9L1izhlcGvsE3bbVi16nM+++woGjbsS9++YwihVrZjSlKVUFEzr1viGoA84GZgVCl1RcDSGOOqNGaTJEmSJEmSJFUxi1YtYt8H9mXed/N4cdCL7NB+B/LzFzF58sHk5NSnf//x1K7dONsxJanKKLeZF2Oc+f0/hxD+Bkxc/5kkSZIkSZIkSd9bumYp+z+4P3lL83ju2OfYtdOuFBWt5dNPB5KfP5/ttnuNevU6ZzumJFUpFa3M+0GM8W+ZDCJJkiRJkiRJqrpWrFvBgQ8dyOeLPueZY55hz657EmNkypQTWbFiEn37PkaTJjtnO6YkVTlJN/PWF0o2M24F1C1tPMY4a1NCSZIkSZIkSZKqjlX5qzjo4YP4YP4HPPHbJzig5wEAzJx5Gd9882+6dbuSNm2OzHJKSaqaUmrmhRD6A9cAe1FGIw+Iqb5XkiRJkiRJklQ1rSlYwyFjDmHS7EmMOWIMh/Q+BICFC//NjBkjaNv2ODp3vjDLKSWp6kq66RZC2AqYlLidAAwAPgYWAj+jZKXeRMBVeZIkSZIkSZJUA6wrXMcRjx7BxOkTGT1wNEf1OwqA5csn8eWXJ9C06e707n0XIYQsJ5WkqisnhdpLgFxg1xjjoYlnT8UYDwS6AfcCfYHh6Y0oSZIkSZIkSdrcFBQVcMwTx/Dc1Of4x8H/YNC2gwBYs2Y6n346kHr1OrH11k+Sk1Mny0klqWpLpZm3JzA+xjh5vWcBIMa4CvgjsBS4PG3pJEmSJEmSJEmbnaLiIgaPHczYL8dyy4G3cMoOpwBQWLicyZMPJsYC+vcfT25uyywnlaSqL5VmXivg6/XuC4EG39/EGAsp2WZz//REkyRJkiRJkiRtbopjMSc9cxJjPh3Dtftey5k/P7PkeXEhn332W9as+Yp+/Z6kQYPeWU4qSdVD0mfmAUuARuvdLwY6b1CTDzTd1FCSJEmSJEmSpM1PjJHTnz2d0R+PZsQeIzhvt/N+eD516pksXfoivXv/i+bN98pyUkmqPlJZmTcN6Lre/fvAfiGENgAhhIbAocD0tKWTJEmSJEmSJG0WYoyc/cLZ3Pn+nZy/2/kM32P4D2Nz5oxi3rw76dTpPNq1OymLKSWp+kmlmfcisFeiaQdwJ9AC+DCE8BgwGegC/Cu9ESVJkiRJkiRJ2RRj5OJXLubm/97MX3b+C1fvczUhBAAWLx7PtGln06rVYXTvfnWWk0pS9ZNKM++fwElAfYAY47PAWYn7I4A2wLXALWnOKEmSJEmSJEnKoitev4Kr37yaU392KjcfePMPjbyVKz/m88+PoVGj7enT5wFCSOWvnCVJyUj6zLwY43zgkQ2e3RJCuA1oBXwTY4xpzidJkiRJkiRJyqIbJt3A8FeHM3jbwdxx8B0/NPLWrZvP5MkHU7t2M/r3H0etWg0reJMkaWMk3cwrS4yxCFiYhiySJEmSJEmSpM3Ibe/exrkTzuW3/X7L3YfcTU5i5V1R0Wo+/fQQCgqWsv32b1K3bvssJ5Wk6muTm3mSJEmSJEmSpOrn7g/u5oznzuDQ3ofy4GEPUjun5K+TYyzmiy8G8d1377P11k/TuPF2WU4qSdVbmc28EMIrG/nOGGPcZyPnSpIkSZL+j737ju+qOvw//jpZ7L1XGTJlKm4tYvVnq+KoaMXxdVTrVkSttXWhVm3riAEVtVbRgoO6wT0AFxVxsfeGgKywSUhyfn8kKEVGAvkEAq/n45HHh3vvOee+P/yDj7y950qSJO1mg8cO5g9D/8BvWv6Gl854idTk1B+vzZp1C0uXvsp++z1I7don78aUkrRv2N6Ted13ck3fmydJkiRJkiRJZdQrE1/hgtcvoHuz7rz6u1cpl1Lux2uZmc8wd+7faNDgUho37rMbU0rSvmObZV6MMak0g0iSJEmSJEmSdq9hU4fR65VeHNb4MN48+00qpFb48dqKFSOYOvUyatQ4jlatHiGEsBuTStK+w8JOkiRJkiRJksSY5WPoOaQnXep34a1z3qJyWuUfr61bN5UJE06nQoWW7L//f0hKSt3OSpKkkmSZJ0mSJEmSJEn7uI9nfcytE26lXe12vHfee1QrX+3Haxs3LmfcuB6EkEzHjsNITa2+G5NK0r5ne+/M+x8hhG5FHRtj/GTn4kiSJEmSJEmSStPgsYO56I2LaFS+Ee//3/vUrFDzx2v5+TmMH386GzbMoUuXj6lQocVuTCpJ+6Yil3nACCAWcWxy8aNIkiRJkiRJkkpLjJH7PruPWz6+he7NunN9w+upW6nu/1yfOvVyVq4cSbt2g6hW7cjdmFaS9l3FKfPuYutlXnXgYOAIYCjwTQnkkiRJkiRJkiQlyMa8jVz51pU89e1TnNvxXP51yr8Y9dmo/xkzb94/WLToGZo2vZ169c7dTUklSUUu82KMfbd3PYRwIdAfuGXXIkmSJEmSJEmSEmV19mrO/M+ZvDfjPW795a3c1f1OQlLSTwNiZMnSV5k582bq1u1Fs2Z9d1tWSRIk7XhI0cQYBwKjgHtLak1JkiRJkiRJUslZsGoB3QZ248OZH/LUyU9x9yfJhOuvh1i4KVuMrLrzHCaN7UXVqofRps0zhBB2b2hJ2seVWJlX6HugWwmvKUmSJEmSJEnaReMWj+Owfx3G9OXTeeuct7j4gN9DVhZkZECfPgBs+MsljO/4IqnZFejQ/jWSk8vv5tSSpOK8M68omiRgTUmSJEmSJEnSLvhw5of0HNKTymmV+fSiT+lSv0vBhfT0gs+MDGhah3H7PU1e1TQOPPwL0srV332BJUk/KpEn80IIySGES4AzgDHFnFsrhHBJCOG1EML0EML6EMLKEMJnIYSLQwhbzRhCOCKE8HYIYXkIYV0IYWwI4boQQvJ27tUjhDCicP01IYQvQwgX7CDfBSGE0YXjVxbO71Gc7yhJkiRJkiRJu8vA7wZywuATaFqtKf+9+L8/FXkAIUB6OjEJaD6Ytc2h/YFvUKlyh92WV5L0vzxzsvoAACAASURBVIr8FF0IYeZ21qhX+JkD/KWYGc4EBgCZwHBgbuF6pwNPASeEEM6McdOmzRBCOBV4BdgAvAQsB04G0oEjC9fcMv/VQH9gGTCoMOsZwMAQQscY441bmfMAcAMwH/gnkAb0AoaGEK6JMT5SzO8qSZIkSZIkSaUixsidI+/kzpF3clyL43j5zJepVr7aloOIfa5jah+g+iRaPQw1m70L6b8uKPokSbtdcbbETALiVs5vBMYBo4H+McZJxcwwFTgFeCvGmL/pZAjhL4Vr9qSg2Hul8HxVCoq1PKB7jHFM4fnbgI+BM0IIvWKML262VjPgAQpKv4NijLMLz98FfAXcEEJ4JcY4arM5R1BQ5M0ADo4xrig8fz/wNfBACGHYprUkSZIkSZIkaU+Rk5fDpUMv5dnvn+XCLhfyZI8nSU1O/d9BMZJ/fW+mVOzP4uMBzqNRs1oFW25CwRacFnqStNsVucyLMTZLRIAY48fbOL8ohPA4cA/QncIyj4Kn6eoAz20q8grHbwgh3Ap8BFwBvLjZcr8HygF/37x8izGuCCHcC/wLuBwYtdmcyws/79lU5BXOmR1CeBS4DbgIuKO431mSJEmSJEmSEmXlhpWcPuR0Pp71MXd1v4tbu91K2Eoplx9zmHjEhyytA82b/ZVZs4+E9KMLLlavbpEnSXuIEnlnXgJtLPzM3ezcrwo/393K+E+AdcARIYRyRZzzzhZjdmWOJEmSJEmSJO02c1fO5cinj+STOZ/w7GnPctvRt221yMvLW8/48aextM4kWu6XTtNmtxRcKHyHHn37lm5wSdI2FWebzVIVQkgBzi883LxQa1P4OXXLOTHG3BDCLKA90AKYVIQ5mSGEtUDjEELFGOO6EEIloBGwJsaYuZV40wo/WxfnO0mSJEmSJElSonyb+S0nPX8S6zau473z3uNXzbf+LEJu7mrGjz+FrKyRtG79Txo2vOR/B/hEniTtUUKMW3sN3nYmhHAy0AVoDKRuZUiMMV68y8FCeICCd9a9HWM8abPzU4FWQKsY4/StzPscOAI4YtM78EIIOYVZU2OMuVuZswBoCDQsLPcaAguABTHGxlsZnwrkADkxxnJbXi8ccylwKUCdOnW6DhkypFjff3dYs2YNlStX3t0xisSsiWHWxDBrYpg1McyaGGYteWUlJ5g1UcyaGGZNDLMmhlkTw6wlr6zkBLMmSmll/XLZl9w56U6qpFThbx3/RvNKzbcxcjVwMzAZ+DNwXKlnLQlmTQyzJoZZE6MsZT3mmGO+jjEetNMLxBiL9AM0BcYBeUD+dn7yirrmdu51LRApeLKu5hbXphZea7mNuV8UXj9ss3M5hedStjFnYeH1+oXHDQuP529jfGrh9Q1F+T6tW7eOZcHw4cN3d4QiM2timDUxzJoYZk0MsyaGWUteWckZo1kTxayJYdbEMGtimDUxzFryykrOGM2aKKWR9YkxT8TkO5PjAY8fEBesWrDNcdnZP8SvvuoSR4xIiz/88NrPrvv3mhhmTQyzJoZZEwMYE3ehNyvONpv9KNi+8mngOQqeXPvZU267KoRwFZABTASOjTEu32LIysLPattYouoW4zb9uXbhnGXbmbOqiPeotsU4SZIkSZIkSSpV+TGfWz++lfs+u48TWp7AkDOHUDlt60+pZGcv5Pvvj2PDhll07PgmNWv+upTTSpJ2VnHKvF8B78UYL9nhyJ0UQrgOSAfGU1Dk/bCVYVOAgyh4X93XW8xPAZpTUDLO3GJO7cI5o7aY0wCoRMFTeOsAYoxrC7febBRCaBB//t68VoWfP3sHnyRJkiRJkiQlWnZuNhe9cREvjH+By7pexiMnPkJK0tZ/3bt+/Wy+//5YNm78gU6d3qV69aNLOa0kaVckFWPsRgq22UyIEMKfKCjyvgOO2UaRB/Bx4edvtnKtG1AR+CLGmF3EOSdsMWZX5kiSJEmSJElSQi1fv5zjBx3PC+Nf4G/H/o0BJw3YZpG3bt1UvvuuG7m5y+nc+UOLPEkqg4pT5n0OdEhEiBDCbcDfKHjS7tgY49LtDH8ZWAr0CiH8+LLAEEJ54K+FhwO2mPMMkA1cHUJottmcGsBfCg8f32LOpuNbCsdtmtMMuKpwvWe2/80kSZIkSZIkqeTMWjGLI58+kv/O/y/Pn/48fzrqT4QQtjp2zZrxfPttN/LzN9ClywiqVj20lNNKkkpCcbbZvB34NITQK8b4YkkFCCFcANwF5AGfAtdu5R+f2THGgQAxxlUhhD9QUOqNCCG8CCwHTgHaFJ5/afPJMcZZIYQ/UvDevzEhhJeAHOAMoDHwYIxx1BZzvgghPARcD4wNIbwMpAFnATWBa2KMs0vkL0GSJEmSJEmSduCrBV/R44UebMzbyAf/9wHdmnbb5tjVq7/m+++PJympPJ07j6BSpbalmFSSVJKKXObFGL8NIRwLvBVCuAz4Bli59aHx7mJkaF74mQxct40xI4GBm93g9RDC0cAtQE+gPDCdguKtX4wxbiVU/xDCbOBG4HwKnkqcCNwaY3x2azeNMd4QQhgLXA1cCuRT8L3vjzEOK8Z3lCRJkiRJkqSd9uaUNzn7lbOpW6ku71z4Dm1rb7ucW7nyc8aOPZHU1Jp07vwRFSq0KMWkkqSSVuQyL4RQDbiPgqfSji782ZoIFLnMizH2BfoWdfxm8z4HTizmnKHA0GLOeRbYatknSZIkSZIkSYn26OhHufbda+naoCtDzx5Kvcr1tjl2+fIPGT/+VMqVa0znzh9RvnzjUkwqSUqE4myzmQ50Bz4E/g0sBHITkEmSJEmSJEmS9nn5MZ+bPriJB0c9yCltTuH505+nUlqlbY5funQoEyacScWKrenc+QPS0rZd+kmSyo7ilHk9gC9ijMcnKowkSZIkSZIkCdZvXM/5r5/PyxNf5ppDriH91+kkJyVvc/wPPwxh0qRzqVz5ADp1epfU1JqlmFaSlEjFKfMqAF8kKogkSZIkSZIkCZauW8qpL57KqHmjeOj4h7jusOsIIWxzfGbmQKZMuZhq1Y6gY8e3SEmpWoppJUmJVpwy71vAN6VKkiRJkiRJUoJMXz6dEwafwPxV8/nPmf+h5/49tzt+wYLHmDbtKmrU+H906PAaycnb3oZTklQ2FafMuxsYFkI4Ksb4WaICSZIkSZIkSdK+aNS8UZz8wskAfHz+xxze5PDtjp87935mzryJWrVOYf/9XyI5uXxpxJQklbLilHkNgGHAxyGE54GvgZVbGxhjfK4EskmSJEmSJEnSPuGVia9w3mvn0bhqY94+521a1Wq1zbExRmbP7sucOXdRt24v2rZ9jqSk1FJMK0kqTcUp8wYCEQjA+YU/cYsxofCcZZ4kSZIkSZIk7UCMkYf/+zA3vH8DhzU+jDfPfpPaFWtvd/yMGX9k/vwHqV//97Rp8yQhJJdiYklSaStOmXdRwlJIkiRJkiRJ0j4mLz+PPu/1of/o/vRs15N///bfVEitsM3xMeYzbdpVLFz4OI0aXUPLlg8TQlIpJpYk7Q5FLvNijM8mMogkSZIkSZIk7SvWbVzHOa+cwxtT3uCGw2/gH//vHyRtp5jLz89lypTfs3jxv/nFL26mefN7CSGUYmJJ0u5SnCfzJEmSJEmSJEm7aPGaxZz8wsl8nfk1/U/oz9WHXL3d8fn5OUyceA5Ll75C8+Z/pWnTW0opqSRpT2CZJ0mSJEmSJEmlZMrSKZww+AQWrVnEa2e9xiltTtnu+Ly89UyYcAbLl7/Nfvul06TJdaWUVJK0pyhymRdCmFnEoTHGuN9O5pEkSZIkSZKkvdKncz7l1BdPJTU5lREXjuCQRodsd3xu7hrGjz+FrKwRtG79BA0bXlpKSSVJe5LiPJmXBMStnK8GVC/880Jg466GkiRJkiRJkqS9yYvjX+SC1y+gefXmvHPuOzSv0Xy74zduzGLcuBNZtWo0bds+R/3655VSUknSnqbIZV6Msdm2roUQWgL9gErAr3c9liRJkiRJkiSVfTFG/v7Z37n5o5vp1rQbr531GjUr1NzunJycpYwdezxr146nffsh1KlzeimllSTtiZJKYpEY43TgdKARcEdJrClJkiRJkiRJZVlufi7p09K5+aObObvD2bx/3vs7LPKyszP57rujWbduEh06vGGRJ0kqmTIPIMa4AfgAOLuk1pQkSZIkSZKksmj+qvkc99xxDM0cyp+P+jODTh9EuZRy252zYcMcvv32l2Rnz6Vjx3eoVeuEUkorSdqTFeedeUWRC9Qv4TUlSZIkSZIkqcwYOmUoF75xIdm52fy57Z+599h7dzhn3bppfP/9seTlraZTpw+oVu2wUkgqSSoLSuzJvBBCbeC3wLySWlOSJEmSJEmSyors3Gx6v9ObU148habVmvLNZd9wfL3jdzhv7doJfPddN/Lz19O583CLPEnS/yjyk3khhNu3s0YT4FSgGvDnEsglSZIkSZIkSWXG1GVT6fVyL75d9C29D+3N34/7O+VSyrGQhdudt3r1N3z//fEkJaXRpcsnVKrUrpQSS5LKiuJss9l3B9dXAX+NMf5j5+NIkiRJkiRJUtny3PfPceVbV1I+pTxv9nqTk9ucXKR5K1d+wdixJ5CSUoMuXT6iQoX9EpxUklQWFafMO2Yb5/OBFcDkGGPurkeSJEmSJEmSpD3f6uzVXPn2lQwaO4huTbsx+PTBNK7auEhzV6z4mHHjTqFcuYZ07vwR5cs3SXBaSVJZVeQyL8Y4MpFBJEmSJEmSJKms+CbzG856+SxmrpjJnd3v5JZf3kJyUnKR5i5b9hbjx/ekYsVWdOr0AeXK1U9wWklSWVacJ/MkSZIkSZIkaZ8WYyTjywxu+uAm6lWux/ALhtOtabciz//hh/8wadI5VKrUmc6d3yM1tVYC00qS9gbbLfNCCOWAT4HVwG9ijBu3MS4NeAeoBPxyW+MkSZIkSZIkqaxaum4pF71xEcOmDuOUNqfw9ClPU6ti0cu4RYueY/Lki6ha9XA6dXqLlJRqCUwrSdpbJO3g+rlAV+DB7RV0McYc4H7gkMI5kiRJkiRJkrTXGDF7BJ0f78z7M96n/wn9ef2s14tV5C1YMIDJky+gRo1f0bnzexZ5kqQi21GZdzowM8b49o4WijG+C0wDziyJYJIkSZIkSZK0u+Xm53L78Nv51bO/onJaZb685EuuPuRqQghFXmPevAeZNu1KatU6mQ4dhpKcXCmBiSVJe5sdvTPvAGCHRd5mPgFO3Pk4kiRJkiRJkrRnmLdyHue8eg6fzf2MC7tcSP8T+lM5rXLRJsdIBOBZZswYSJ06Z9Gu3b9JSkpNYGJJ0t5oR2VebWBxMdZbDPjGVkmSJEmSJEll2huT3+CiNy5iY/5GBv12EOd2Ksbbhfr2JX/VUqZdthEYSP16F9LmiSqE6vdA376JiixJ2kvtaJvN9UAR/1cTKBy7YefjSJIkSZIkSdLusyF3A9e8fQ2nvXQaLWq04JtLvylekRcjG7Ln8m2rR8nMfBI4mzZPVCVk9IesLIgxYdklSXunHT2ZNw84uBjrHQTM3fk4kiRJkiRJkrR7TF46mV4v9+L7xd9z/WHXc99x95GWnFasNZaveJ+JJ71BXJ9G+1tzmPDbroSMG6F3b0hPh2K8a0+SJNjxk3kjgMNCCAftaKEQQlfgCGB4CeSSJEmSJEmSpFIRY+SZb5+h65NdWbB6AcPOHsaDv36wWEVejPnMnn0nY8eeQLlyjel6xDjqfL7ZAIs8SdJO2lGZ9wgQgf+EENpta1AIoS3wHyAPeKzk4kmSJEmSJElS4qzKXsV5r53H79/8PYc2OpTvL/+ek1qfVKw1Nm5cxrhxJzF7dl/q1fs/DjzgCyressWvSfv0cYtNSdJO2e42mzHGKSGEu4C+wLchhJeBj4H5FJR8jYFjgZ5AOeD2GOOUhCaWJEmSJEmSpBIwZuEYer3ci1lZs7j7mLv581F/JjkpuVhrrFr1FRMmnEFOziJat36CBvUvIVx/PWRkFGyt2bVrwWdGRsEEn9CTJBXTjt6ZR4zxrhBCLnAHcA5w9hZDArARuCXGeF/JR5QkSZIkSZKkkpMf83n4vw9z84c3U79yfUZeOJKjfnFUsdaIMZKZ+STTpl1LWloDDjjgc6pWLXxbUfXqP70jb+TIgs9N5y3yJEnFtMMyDyDGeG8IYTDwe+BIoAEFJd5C4DPgmRjjnISllCRJkiRJkqQSsGTtEi54/QLemf4Ov237W5465SlqVqhZrDXy8tYxdeoVLF78HDVr/oZ27QaRmlrrpwF9+xZsqbmpuAvBJ/IkSTutSGUeQGFZd0cCs0iSJEmSJElSwnw862POe/U8lq9fzqMnPsoVB11BKGbBtm7dNCZMOIO1a8fRrFlfmja9jRCSfj5wy3Ut8iRJO6nIZZ4kSZIkSZIklUW5+bn0HdGXez+9lza12/DOue/QuX7nYq+zZMnrTJ58ASGk0LHj29Sq9ZsEpJUk6X9Z5kmSJEmSJEnaa83JmsM5r57DF/O+4Pddfk+/E/pRKa1SsdbIz89l1qxbmDfvH1SpchDt279M+fJNE5RYkqT/ZZknSZIkSZIkaa/06qRXufjNi8nLz+P505/n7I5nF3uNnJzFTJzYi6ysETRseDktWz5MUlK5BKSVJGnrLPMkSZIkSZIk7VXWb1zPDe/fwIAxAzi44cG80PMF9qu5X7HXWbnycyZMOJPc3Czatn2W+vXPT0BaSZK2zzJPkiRJkiRJ0l5j0pJJnPXyWYz7YRw3Hn4j9xx7D2nJacVaI8bI/PkZzJz5R8qXb0anTu9SuXKnBCWWJGn7LPMkSZIkSZIklXkxRp7+9mmueecaKqdV5p1z3+E3LX9T7HVyc1czZcrFLFnyH2rXPo22bQeSklItAYklSSoayzxJkiRJkiRJZdrKDSu5bNhlvDThJY5tfiz//u2/aVClQbHXWbt2IuPHn8769dNo0eLvNGnyR0IICUgsSVLRWeZJkiRJkiRJKrNGLxhNr5d7MXflXO791b3cdORNJCclF3udxYtfYMqUP5CcXInOnT+iRo3uJR9WkqSdYJknSZIkSZIkqczJj/k8+MWD/OXjv9CoSiM+uegTjmhyRPHXyc9hxowbWbCgP1WrHkn79kMoV65hAhJLkrRzLPMkSZIkSZIklSnLc5Zz4uATeW/Ge/Rs15N/nvxPalSoUex1NmyYz8SJZ7Jq1X9p3LgPLVr8naSk1AQkliRp51nmSZIkSZIkSSoz3pj8Bn/4+g+sy1/H4yc9zqVdL92p99qtWPEREyf2Ij9/A/vvP4S6dc9MQFpJknadZZ4kSZIkSZKkPd6crDlc8841DJ06lBaVWjDi/0bQsV7HYq8TYz5z5/6NWbNuo2LFtrRv/wqVKrVNQGJJkkqGZZ4kSZIkSZKkPVZOXg7po9K5c+SdhBC4///dT5cNXXaqyNu4cQWTJ5/PsmXDqFv3bFq3fpKUlMoJSC1JUsmxzJMkSZIkSZK0R/pkzidc8dYVTFwykdPankbGbzL4RbVfMGLEiGKvtXr1t0yY0JPs7Hm0bNmfRo2u2qntOSVJKm2WeZIkSZIkSZL2KEvWLuGmD29i4HcDaVqtKUPPHkqP1j12er3MzGeYNu1KUlJq0aXLJ1SrdngJppUkKbEs8yRJkiRJkiTtEfJjPk9/+zQ3fXATq3NWc/ORN3Pb0bdRMbXiTq2Xl7eB6dOvITPzKapX/xX77/8CaWl1Szi1JEmJZZknSZIkSZIkabcbu3gslw+7nFHzR9GtaTcGnDSA/evsv9PrrV8/iwkTzmDNmm/4xS/+QvPmdxFCcgkmliSpdFjmSZIkSZIkSdptVmevpu+IvmR8mUGNCjUYeOpAzu98/i69z27ZsreYNOk8Yox06PAmtWufXIKJJUkqXZZ5kiRJkiRJkkpdjJHXJr9G73d7M3/VfC498FLuO+4+alaouQtr5jF7dl/mzPkrlSt3oX37V6hQoUUJppYkqfRZ5kmSJEmSJEkqVbNWzOLqd67m7Wlv06leJ4acMYTDmxy+S2vm5Cxh0qRzWLHiQ+rX/z2tWj1CcnKFEkosSdLuY5knSZIkSZIkqVTk5OXwwBcPcPcnd5OSlMJDxz/ENYdeQ0rSrv2acuXK/zJx4pnk5CyhTZunaNDg4hJKLEnS7meZJ0mSJEmSJCnhRswewRVvXcHkpZPp2a4nD//mYRpXbbxLa8YYWbjwMaZP70O5co048MAvqFLlwBJKLEnSnsEyT5IkSZIkSVLC/LD2B258/0b+PfbfNK/enLfOeYsTW524c4vFCCEAkJe3lilTLuWHH56nZs2TaNfuOVJTd/59e5Ik7aks8yRJkiRJkiSVuPyYzz+//ic3f3Qza3PWcssvb+Evv/wLFVMr7tyCfftCVhakpwNz+frrq1m3dgLNZx3DL45+kxCSSjK+JEl7DMs8SZIkSZIkSSXq28xvueKtK/hywZd0b9adx058jHZ12u38gjFCVhYxI4NFTcfDAV+wcQV0ugVqHtUJCCWWXZKkPY1lniRJkiRJkqQSsTp7NbcPv51+o/tRu2Jt/v3bf3Nux3MJYRfLthBYe89lTD3qZVbW/ghWN6frxbMof07vgif1dnV9SZL2YD57LkmSJEmSJGmXxBj5z4T/0PbRtmR8mcGlB17K5Ksmc16n83a5yMvL28CsWXcwZkxn1tZfS+v7galXUH4JFnmSpH2CZZ4kSZIkSZKknTZj+QxOfP5Efvfy76hXqR6jLh7FgB4DqFGhxi6vvWLFcMaM6cycOXdRp86ZHDL0DBq+DT/+WrNPn4ItOCVJ2ou5zaYkSZIkSZKkYsvOzeYfn/+Dez+7l9SkVB7+9cNcdchVpCTt+q8cc3KWMmPGjSxe/Czly7egU8d3qXn3O5CRAb17Q9euBZ8ZGQUTfEJPkrQXs8yTJEmSJEmSVCwfzfyIK9++kqnLpvK79r/joeMfolHVRru8boyRxYufY/r0G8jLW8kvfvFnmja9jeTkClB9VEGBl54OI0cWfAJUr26RJ0naq1nmSZIkSZIkSSqSRWsWccP7N/D8uOfZr8Z+vHvuu/y65a9LZO1166YyderlZGUNp2rVw2nd+gkqV+7404C+fQu21NxU3IXgE3mSpH2CZZ4kSZIkSZKk7crLz+PxMY9zy8e3sD53Pbd3u52bj7qZCqkVdnnt/Pxs5s79B3Pm3ENSUnlatRpAw4aXEkLSzwdvWdxZ5EmS9gGWeZIkSZIkSZK26euFX3P5W5czZuEYjm1+LI+d9Bita7UukbWzsj5l6tRLWbduMnXq/I6WLR+mXLkGJbK2JEl7C8s8SZIkSZIkST+zcsNKbht+G49+9Sh1KtZh8OmDObvD2YQSeBpu48blzJhxE4sW/Yty5ZrSseNb1Kp1YgmkliRp72OZJ0mSJEmSJOlHMUaGTBjCde9dx+I1i7ny4Cv566/+SvXy1Utk7R9+eJ7p0/uwceNymjT5I82a3UFycqUSSC5J0t7JMk+SJEmSJEkSANOWTeOqt6/ig5kf0LVBV97s9SYHNzq4RNZev34GU6dewYoVH1ClyiF07vwBlSt3LpG1JUnam1nmSZIkSZIkSfu4dRvXMXD2QF787EXKpZSj/wn9ueKgK0hOSt7ltfPzc5g370HmzLmLEFJp1eoRGja8nBB2fW1JkvYFlnmSJEmSJEnSPio7N5snv36Sez+7l0VrFtGrQy8eOv4hGlRpUCLrr1z5BVOnXsbateOpXbsnrVplUK5coxJZW5KkfYVlniRJkiRJkrSP2Zi3kYHfDeTuT+5m3qp5dGvajT/v92euPe3akll/YxYzZ95MZuYTlCvXhA4d3qR27ZNLZG1JkvY1lnmSJEmSJEnSPiIvP4/B4wZz58g7mbliJoc2OpSnT32aY5sfy8iRI3d5/RgjS5YMYdq03mzcuITGjfvQrNldpKRULoH0kiTtmyzzJEmSJEmSpL1cfszn5Ykvc8eIO5i8dDJd6ndh2NnDOLHViYQQSuQe69fPYtq0q1i+/B0qV+5Kp05vU6XKgSWytiRJ+zLLPEmSJEmSJGkvFWPkzSlvcvuI2xm7eCz719mfl898md+2+y1JIalE7pGfv5H589OZPbsvISTTsuXDNGx4FUlJ/upRkqSS4L+okiRJkiRJ0l4mxsj7M97n1uG3MmbhGFrWbMng0wdzVvuzSE5K3nIwbP503pbH27Fq1ZdMmXIpa9eOpVatU2jV6hHKl29Sgt9EkiRZ5kmSJEmSJEl7kZGzR3Lr8Fv5bO5nNK3WlH+d8i/O73w+KVt7Uq5vX8jKgvT0guMYoU8fqF694No25OauZObMW1i48DHS0hrSvv2r1Knz24R8H0mS9nWWeZIkSZIkSdJeYNS8Udw2/DY+mvURDas05LETH+PiAy8mLTlt6xNiLCjyMjIKjk87raDIy8iA3r23+oRejJGlS19l2rRrycnJpFGja2je/G5SUqom+NtJkrTvssyTJEmSJEmSyrBvMr/h9uG389a0t6hTsQ4PHf8Qlx90ORVSK2x/Ygg/PZGXkQFNmvxU5KWn/6zI27BhLtOmXc2yZUOpXLkLHTq8TtWqByfoW0mSpE0s8yRJkiRJkqQyaPwP47ljxB28OulVapSvwX3H3sfVh1xN5bTKRV9kU6G36ek8+FmRl5+fy4IF/Zg163Ygst9+D9CoUW+StrZtpyRJKnH+iytJkiRJkiSVIVOXTeXOkXfywrgXqJxWmTuOvoM+h/WhWvlqxV9s0zvyNtenz4+F3urVXzNlyqWsWfMNNWueSKtWj1KhQrMS+R6SJKloLPMkSZIkSZKkMmB21mzuGnkXz33/HOVSyvGnI//EjUfcSK2KtXZuwU1F3qatNbt2LfjMyCA3JYdZl6WyYMEjpKXVZf/9h1CnzhmELbbelCRJiWeZJ0mSJEmSJO3BFqxawD2f3sNT3zxFUkjimkOu4eajbqZeJJ7bEAAAIABJREFU5Xq7tnAIUL36T+/IGzkS0tNZWn8G07oMJnvBaho2vIIWLe4lJWUnnvqTJEklwjJPkiRJkiRJ2gMtXrOYv332NwaMGUB+zOeSAy/hll/eQqOqjUruJn37FjyhFwKwhPETTmfpYcOoVKkj+7d+gmrVDi+5e0mSpJ1imSdJkiRJkiTtQZatW8b9X9xP/9H9yc7N5vzO53Nbt9toXqN5Qu6Xm7eK+fMzgL+xfDm0aPE3Gje+nqSk1ITcT5IkFY9lniRJkiRJkrQHWLlhJen/TeehUQ+xJmcNZ3c8mzuOvoPWtVon5H65uatZsKA/8+Y9QG7uCuAoDj74WSpUaJGQ+0mSpJ1jmSdJkiRJkiTtRmty1tD/y/7c/8X9rNiwgp7tetK3e1861O2QkPvl5a1lwYJHmTv3H+TmLqNWrR40a9aXr79ebZEnSdIeyDJPkiRJkiRJKmk/voduG8fA+o3reXzM49z32X0sWbeEk1qdxF3H3MWBDQ5MSKS8vHUsXPg4c+f+nY0bf6Bmzd/QrNmdVK16SOGIEQm5ryRJ2jVJuztACOGMEEL/EMKnIYRVIYQYQhi0gzlHhBDeDiEsDyGsCyGMDSFcF0JI3s6cHiGEESGElSGENSGEL0MIF+zgPheEEEYXjl9ZOL/Hzn5XSZIkSZIk7QP69oU+fQoKPCj47NOn4DyQk5fDY189Rsv+Lbn+/evpXL8zX/z+C4adMywhRV5e3gbmz+/Hl1/ux4wZN1C5cicOOOBzOnV6Z7MiT5Ik7an2hCfzbgU6A2uA+UDb7Q0OIZwKvAJsAF4ClgMnA+nAkcCZW5lzNdAfWAYMAnKAM4CBIYSOMcYbtzLnAeCGwkz/BNKAXsDQEMI1McZHdubLSpIkSZIkaS8WI2RlQUZGwfFppxUUeRkZ5Pa+hue++Rd3fXI3c1bO4ahfHMXg0wfTvVn3hETJz88mM/NfzJlzLzk5C6hW7Wj23/8lqlfvlpD7SZKkxNgTyrw+FBRm04GjgeHbGhhCqEpBsZYHdI8xjik8fxvwMXBGCKFXjPHFzeY0Ax6goPQ7KMY4u/D8XcBXwA0hhFdijKM2m3MEBUXeDODgGOOKwvP3A18DD4QQhm1aS5IkSZIkSQIKttJMTy/4c0YGNGlCXr8MXvzjr7mzybtMG9qfgxoexBM9nuD4/Y4nbLH1ZknIz89h0aKBzJnzV7Kz51G16pG0a/cc1asfk5D7SZKkxNrt22zGGIfHGKfFuGnfge06A6gDvLipyCtcYwMFT/gBXLHFnN8D5YBHNi/fCgu6ewsPL99izqbjezYVeYVzZgOPFq53URHySpIkSZIkaV9TWOjlBxiZO5ZOV8B5ld6jQmoF3uj1BqMvGc2vW/66xIu1/PxcMjOfZvToNkydehlpaQ3p1Ok9DjjgU2rU+JVFniRJZdRuL/OK6VeFn+9u5donwDrgiBBCuSLOeWeLMbsyR5IkSZIkSWLl+iwevrk7ra+BvhueIz/AS2tO4NtLv+GUNqckpMRbtOjfjB7dlilTLiYlpRYdO77FgQeOombNxDz9J0mSSs+esM1mcbQp/Jy65YUYY24IYRbQHmgBTCrCnMwQwlqgcQihYoxxXQihEtAIWBNjzNxKhmmFn6134XtIkiRJkiRpLzNl6RQeGd2fgaOfZE3FjRyZ1oBz2l3CHSuySH6gP2y8oWALzhIq12LM44cfhjB79p2sXz+FSpU606HDG9SqdbIFniRJe5FQtN0tS0cIoTsF78wbHGM8byvXpwKtgFYxxulbuf45cARwxKZ34IUQcoBUIDXGmLuVOQuAhkDDwnKvIbAAWBBjbLyV8alADpATYyy35fXNxl0KXApQp06drkOGDNnR19/t1qxZQ+XKlXd3jCIxa2KYNTHMmhhmTQyzJoZZS15ZyQlmTRSzJoZZE8OsiWHWxDBr8eXHfL5a/hWvLniV0StGkxpSOabKYZxe5TjatOz2U8558yAlBRo0KIm7UrBJ1UBgDtAcuBA4il3ZiGtP+TstCrMmhlkTw6yJYdbEMGtiHHPMMV/HGA/a6QVijHvMD9AdiMCgbVyfWni95Tauf1F4/bDNzuUUnkvZxpyFhdfrFx43LDyev43xqYXXNxT1e7Vu3TqWBcOHD9/dEYrMrIlh1sQwa2KYNTHMmhhmLXllJWeMZk0UsyaGWRPDrIlh1sQwa9Gt2rAq9vtvv9iqX6tIX2L9B+rHu0bcFRetXlQwID8/xrhZzsLjXZGfnx9/+OHVOHp0xzh8OPHLL9vFxYtfivn5ebu8doy7/++0OMyaGGZNDLMmhlkTw6yJAYyJu9CflbVtNlcWflbbxvWqW4zb9OfahXOWbWfOqiLeo9oW4yRJkiRJkrSPmL58Oo+MfoSnv32a1TmrObTRoTx/+vP03L8naclpPw3ccpvLXdj2MsbIsmXDmD37Dtas+ZYKFVrTrt1g6tY9ixCSd3pdSZJUNpS1Mm8KcBAF76v7evMLIYQUCvYUyAVmbjGnduGcUVvMaQBUouApvHUAMca1hVtvNgohNIg/f29eq8LPn72DT5IkSZIkSXufGCMfzPyAfl/24+1pb5OSlMLv2v+Oaw65hkMbH5rQ+y5f/i6zZ9/O6tVjKF++BW3bPkvduueQlFTWfq0nSZJ2Vln7V/9j4FzgN8ALW1zrBlQEPokxZm8x58jCOaO2mHPCZmO2vM//Fc55pohzJEmSJEmStBdZk7OG575/jv6j+zN56WTqVqrL7UffzmVdL6NBlZJ4993WxRhZseJDZs++nVWr/kv58s1o0+Zf1Kv3fyQlpSbsvpIkac9U1sq8l4G/A71CCP1jjGMAQgjlgb8WjhmwxZxngJuAq0MIz8QYZxfOqQH8pXDM41vMeZyCMu+WEMLrMcYVhXOaAVcB2fy85JMkSZIkSdJeYOaKmTw6+lH+9e2/WJm9kq4NuvLcac/xu/a/o1xKuYTee8WK4cyefTsrV35GuXJNaN36CerXv5CkpLQdT5YkSXul3V7mhRBOA04rPKxf+Hl4CGFg4Z+XxhhvBIgxrgoh/IGCUm9ECOFFYDlwCtCm8PxLm68fY5wVQvgj0A8YE0J4CcgBzgAaAw/GGEdtMeeLEMJDwPXA2BDCy0AacBZQE7hmUykoSZIkSZKksi/GyMezPqbf6H4MnTKU5KRkztj/DK495FoOa3wYYRfeeVcUWVmfMnv27WRljSAtrSGtWj1KgwYXk5SU2PJQkiTt+XZ7mQd0AS7Y4lyLwh+AOcCNmy7EGF8PIRwN3AL0BMoD0yko3vrFGOOWN4gx9g8hzC5c53wgCZgI3BpjfHZroWKMN4QQxgJXA5cC+cA3wP0xxmE791UlSZIkSZK0J1mbs5ZBYwfRf3R/JiyZQJ2Kdbjll7dw+UGX06hqo4Tff+XKUcyefTsrVnxIamo9WrbMoEGDS0lOLp/we0uSpLJht5d5Mca+QN9izvkcOLGYc4YCQ4s551lgq2WfJEmSJEmSdoMYYfOn5LY8LqLZWbN57KvHeOqbp1ixYQUH1D+AZ059hl4delE+JfFF2qpVo5k9+w6WL3+X1NQ67LffgzRseDnJyRUTfm9JklS27PYyT5IkSZIkSSqSvn0hKwvS0wuOY4Q+faB69YJrOxBjZOSckfT7sh9vTHmDQOD0dqdz7aHXcmSTIxO+lSbA6tXfMHv2HSxbNoyUlFq0aPF3GjW6iuTkSgm/tyRJKpss8yRJkiRJkrTni7GgyMvIKDg+7bSCIi8jA3r33u4Teus3rmfwuMH0+7If434YR60KtfjTkX/iioOuoEm1JqUSf82a75k9uy9Ll75OSkoNmje/h0aNriElpUqp3F+SJJVdlnmSJEmSJEna84Xw0xN5GRnQpMlPRV56+laLvHkr5/HYV4/x5DdPsnz9cjrV68RTJz/FOR3PoUJqhVIKPosJEx5lyZKXSU6uSrNmfWnc+DpSUqqV0v0lSVJZZ5knSZIkSZKksmFTobfp6Tz4WZEXY+SzuZ/Rb3Q/Xpv0GpHIaW1P49pDrqVb026lspVmfn4uy5e/xYIFA4D3WL68Mk2b3krjxteTmloj4feXJEl7F8s8SZIkSZIklQ2b3pG3uT59ID2dDXnZvDDuBfqN7sd3i76jevnqXH/49Vx18FU0rd60VOJlZy8iM/MpMjOfJDt7HmlpDYELOPTQB0hLq10qGSRJ0t7HMk+SJEmSJEl7vk1F3qatNbt2hd69WfB0BgPKf8ETtWaxdN1S2tdpzxM9nuDcjudSKa1SKcSKZGWNZOHCASxd+iox5lKjxnG0bPkwtWqdzCeffG6RJ0mSdollniRJkiRJkvZ8IUD16tC7N/Ghhxg/9DEeP2oRr1RPIo+vOKXJqVx76LUc0+yYUtlKMzd3JYsWPcfChQNYt24SKSnVadToGho2vJyKFVsn/P6SJGnfYZknSZIkSZKkMmHJH6/ipfEvMvCpQ/g682uqlavGtYf35qpDrqZFjRalkmH16m9ZuHAAixcPJj9/HVWqHEybNk9Tt+5ZJCdXLJUMkiRp32KZJ0mSJEmSpD3Wuo3reHPKmwwaO4h3p79LXsyjU71OXNfqOu4+424qp1VOeIa8vA0sWTKEhQsHsGrVf0lKqkDdumfTsOEVVK16UMLvL0mS9m2WeZIkSZIkSdqj5OXnMXz2cAaNHcQrk15hTc4aGlVpxA2H38C5nc6lU71OjBgxIuFF3vr1M1i48HEyM58hN3cZFSq0Zr/90qlf/wJSU2sk9N6SJEmbWOZJkiRJkiRpt4sx8t2i7xg0dhAvjH+BzDWZVC1XlbPan8W5Hc/l6GZHkxSSEp4jPz+X5cvfYsGCAaxY8R6QTO3ap9Go0ZVUr1467+OTJEnanGWeJEmSJEmSdps5WXN4ftzzDBo3iIlLJpKalMqJrU7kvE7ncVKrk6iQWqFUcmRnLyIz8ykyM58gO3s+aWkNadasLw0aXEK5co1KJYMkSdLWWOZJkiRJkiSpVK1Yv4KXJ77MoHGD+GTOJwAc2eRIBpw0gDP3P5NaFWuVSo4YI1lZI1m48DGWLn2NGHOpUeM4WrbsR61aJ5OU5K/OJEnS7ud/kUiSJEmSJCnhsnOzeXva2wwaN4hhU4eRk5dDm1ptuPuYuzmn4zm0qNGi1LLk5q5k0aLnWLhwAOvWTSIlpQaNGl1Lw4aXUbFi61LLIUmSVBSWeZIkSZIkSUqI/JjP53M/Z9DYQQyZOISsDVnUq1SPKw66gvM6nUfXBl1L9R10q1d/y8KFA1i8eDD5+euoUuUQ2rR5hrp1zyI5uXS285QkSSouyzxJkiRJkqR9XYyweam25XExTVoyiUFjBzF43GDmrJxDxdSKnN7udM7reB7HtjiWlFLcvjIvbwNLlgxhwYLHWL36S5KSKlC37jk0anQFVap0LbUckiRJO8syT5IkSZIkaV/Wty9kZUF6esFxjNCnD1SvXnCtiDJXZ/Li+BcZNG4Q32R+Q1JI4vj9jueeX93DqW1PpXJa5YTE35Z166azcOHjLFr0DLm5y6lQoQ0tWz5MvXrnk5pao1SzSJIk7QrLPEmSJEmSpH1VjAVFXkZGwfFppxUUeRkZ0Lv3Dp/QW529mtcmv8bgcYP5cOaH5Md8Dmp4EA//+mHO6nAW9SvXL6UvUiA/P5fly99iwYLHWLHifUJIoXbt02jY8AqqVz+mVLf0lCRJKimWeZIkSZIkSfuqEH56Ii8jA5o0+anIS0/fapG3MW8jH8z8gEFjB/H65NdZn7ueZtWb8Zej/sK5nc6lbe22pfwlIDs7k8zMp8jMfJLs7PmkpTWiWbM7adDgEsqVa1jqeSRJkkqSZZ4kSZIkSdK+bFOht+npPPhZkRdj5KuFXzFo7CBeHP8iS9YtoUb5GlzQ+QLO63QeRzQ5Yjc89RZZsWI4CxcOYOnS14gxlxo1/h8tW/anVq0eJJXie/kkSZISyf+qkSRJkiRJ2pdtekfe5vr0gfR0ZqyYyeBxgxk0dhDTlk+jXHI5TmlzCud2PJcTWp1AWnJaqcfNzl7EkiUvAel8//0cUlJq0KjRtTRseDkVK7Yq9TySJEmJZpknSZIkSZK0r9pU5G3aWrNrV5ZedylDPs9g0O1DGJWSSSDQvVl3bj7qZnq260m18tVKPWZ29iKWLn2VJUv+Q1bWJ0A+0Ja2bQdSp87vSE6uUOqZJEmSSotlniRJkiRJ0r4qBKhenZW9L+ediw+l/8hbGF1zNLknQYeYx9+P+ztndzibJtWalHq0rRV4FSu2o2nTW6lT50zGjFlK/frdSz2XJElSabPMkyRJkiRJSoQY/+e9cz873s1mLJ/BsKnDGNriM0bOGUnuq49TO602fQ7rw3kdz6VT/c6lnmlHBV6lSu03ezffiFLPJ0mStDtY5kmSJEmSJJW0vn0hKwvS0wuON21nWb16wbXdIDc/l1HzRhUUeFOHMmnpJADa1W7H9YddT4/WPciZmcOxxxxbqrmKV+BJkiTteyzzJEmSJEmSSlKMBUVeRkbB8Wmn/e976UrxCb2VG1by7vR3GTp1KO9Mf4fl65eTkpTC0U2P5rKul9GjdQ/2q7nfj+NHzBpRKrlychazZMkrWxR4bS3wJEmStsIyT5IkSZIkqSSF8NMTeRkZ0KTJT0VeenrCi7zpy6czdMpQhk4dyqdzPyU3P5daFWrRo3UPerTqwfH7HU+18tUSmmFrCgq8V1myZIgFniRJUjFY5kmSJEmSJJW0TYXepqfzIGFFXm5+Lp/P/fzH7TOnLJsCQPs67bnx8Bvp0boHhzU+jOSk5BK/945Y4EmSJO06yzxJkiRJkqSStukdeZvr06fECr0V61f8z/aZWRuySE1KpXuz7lx18FX0aN2D5jWa7/J9doYF3v9n787D5Ljqc49/T/Uy+6p9l63FsiV5QZaxsY1lg43j2GCbJQsECAQD2YwhuUDYxBKSXEK4IgsBbgwkhEtCMBBDDMZgyWB5kffdlmzL2iVrGc0+01197h+nepmeHs1I6prqkt7P85Sqq/p099s9rTnd86tzSkRERKS6VMwTEREREREREammfCEvP7XmqlVunR+ld4wFvecOPFeYPvPX236Nb32mNk7lDae9gWuWXsMVi66gpa6lyk9mYlTAExEREQmPinkiIiIiIiIiItVkDLS3F8+Rt2FD8Rx67e0TLuRl/Ax3b7+7UMDbfHAzACunr+TDF36Yq5dezXlzzotk+kw4UgHvY0yb9hYV8ERERESqRMU8EREREREREZFqW7vWjdDLF7Py59Abp7h1cOAgt22+jR9v/jE/3fJTuga7SCfSXLrwUm585Y385tLfZGH7wtDjj6VYwPseXV0bUAFPREREJHwq5omIiIiIiIhIfJQWyCpt15LyXBVyWmt59sCz3Prsrfx484+5e9vd+NZnetN0rlt2HdcsvYbXnvrayKbPBBXwRERERKKmYp6IiIiIiIiIxMPatdDVVZyyMn9uuvZ2d11MZPwMv9r2q0IBb8vBLQCcOeNMPnLRR7hm6TWsnrMaz3iRZTxyAe/NNDWtUAFPREREZJKomCciIiIiIiIitc9aV8hbt85tX3utK+StW+fOTVfLI/SAA/0HuG3Lbdz63K38dMtP6R7qpi5Rx2WnXMZN59/E1UuvZn7b/EgzDg/vBX7EI498RgU8ERERkRqiYp6IiIiIiIiI1L78OefAFfDmzSsW8iZwLrrJlvEzPLT7Ie7ceiffefg7PHnXk+RsjhlNM3jzGW/mmqXX8JpTX0NzujmyjL4/SHf33Rw8+HMOHbqd3t6HARgeVgFPREREpJaomCciIiIiIiIi8ZAv6OVH50HNFPIyfoYHdz/I+q3rWb91PXdvv5ve4V4AFjcv5mMXf4xrll7DqtmrIps+01pLX9/jHDx4O4cO/ZzDh39FLjeAMUlaW1/FwoWfZevW2axe/fsq4ImIiIjUEBXzRERERERERCQe8ufIK3XTTZEU9DJ+hgd2PeCKdy+t5+5td9OX6QPgjGln8PYz386ahWt49YJX8/QDT7NmzZpJzZc3NLSLQ4d+Hoy+u4NMZi8AjY2nM2vWe+jouJz29ktIJlsA2Lp1vQp5IiIiIjVGxTwRERERERERqX35Ql5+as1Vq9w6P0ov5ILesD9cLN4FI+/6M/0ALJ+2nHee/c5C8W560/QRt32ap0PLVc73++jq2lAo4PX3PwlAKjWNjo7X0tFxBR0dr6W+fu6kZRIRERGR46NinoiIiIiIiIjUPmOgvb14jrwNG4rn0Gtvr3ohb9gfZtPOTYWRdxu3bywU71ZMX8G7zn5XoXg3rWlaVR/7aFjr09PzUFC8u53u7o1Ym8GYOtrbX83Mme+go+NympvPxEQ0vaeIiIiIHB8V80REREREREROdtaOLIaVb9eKtWtHZsufQ68KWYeyQ2zatakw8m7j9o0MZAcAWDl9Je8+592F4t3UxqnH/XjHY2DgRQ4d+nmw/IJs9hAAzc1nM3fuB+jouJy2totIJBoizSkiIiIi1aFinoiIiIiIiMjJbO1a6OoqjnLLT2fZ3u6uqzXlhbtjLOQNZYe4f+f9hZF392y/p1C8O3PGmbznFe9hzcI1XLzg4siLd5lMF11ddxYKeAMDWwBIp+cwdeobgqkzX0M6PX2cexIRERGROFIxT0RERERERORkZa0r5OXPO3fttSPPS1erI/SOwVB2iPt23lcYeXfPjnsYzA5iMJw540xuWHWDK97Nv5gpjVMizZrLZejuvi8o3t1Od/f9QI5Eopn29jXMmfMndHRcTmPjMswJ8vMRERERkbGpmCciIiIiIiJysspPUwmugDdvXrGQV6XpK6MymB3kvh33FUbe3bvj3kLx7qyZZ/G+Ve8rjLzrbOiMNKu1loGB5zh40BXvurrW4/s9gEdLy2oWLPgLOjoup7X1fDwvHWlWEREREZl8KuaJiIiIiIiInMzyBb386DyIZSFvMDvIvTvuLYy8u3fHvQz5QxgMZ888m/ef+/7CyLuOho6o4zI8/DKHDv2iMHXm0NB2AOrrT2X69N+ls/MK2tsvJZWKPquIiIiIREvFPBEREREREZGTWf4ceaVuuqnmC3pD/hB3vnjniJF3w/4wnvE4e+bZ/NHqP2LNwjVcNP+imije+f4g3d13F0bf9fY+DEAy2U57+2tYsOBjdHRcTkPDqREnFREREZFao2KeiIiIiIiIyMkqX8jLT625apVb50fp1UhBz1rLloNb2LRrE5t2bmLTrk3cv+N+Mr/O4BmPc2aew5+c9yeF4l17fXvUkfH9AXp6HqS7+x7gP7n77ifJ5QYwJklr66tYuPCzdHZeTkvLuRiTiDquiIiIiNQwFfNERERERERETlbGQHt78Rx5GzYUz6HX3h5JIc9ay86enYWi3aZdm3hg1wN0DXYBUJ+s55yZ53D9nOv5vYt/j4vmX0Rbfduk5yzPPDDwPN3d9xaWvr5HsTYbtFjArFnvobPzCtraLiGZbI40r4iIiIjEi4p5IiIiIiIiIieztWvdCL184S5/Dr1JKuTt79/PA7seGFG829O7B4CESbByxkrefMabWT17NavnrGb5tOWkEinWr1/PmqVrJiVjuWy2m56eTSOKd5nMfpc50UxLy3nMm/e/aG09n9bWV7Jx41MsWRJNVhERERGJPxXzRERERERERE525YW7kAp5PUM9PLj7QTbt3MQDu10B78WuFwvXL5u6jMtPvbxQuDtrxlk0pBpCyTJR1ubo73+6bNTdk4AFoLHxdKZMuSYo3J1PU9PyCtNmPjXpuUVERETkxKFinoiIiIiIiEgYSke7Vdo+wQ1mB3l0z6OF0Xabdm7imf3PYIMi2IK2Bayes5r3nfs+Vs9ezarZq2ita404NQwP76en576S4t39+H43AMlkB62t5zNt2ptpbT2flpbzSKWiPz+fiIiIiJzYVMwTERERERERqba1a6Grq3j+OWvhppvceejWro0yWSiyuSxPvfzUiKkyH9/7OJlcBoDpTdNZPXs1v7X8t1g9ZzXnzj6X6U3TI04NuVyGvr7HRoy6GxjYElyboLn5TGbMeGth1F1DwxLMSVSQFREREZHaoGKeiIiIiIiISDVZ6wp569a57WuvdYW8devgxhtjP0IvZ3NsObjFTZW56wE27drEQ7sfYiA7AEBrXSvnzj6XD17wwcJ0mfNa59VEEWxoaFdJ4e4eenoeIJcbBCCdnklr6/nMmvWeYNTdKhKJpogTi4iIiIiomCciIiIiIiJSXcYUR+StWwfz5hULeV/6UqwKedZadnTvKEyTuWmXK+AdHjoMQEOygXNmncMNq24oFO4Wdy7GM17EycH3B+ntfWjEqLuhoe0AGJOmpeUVzJ79vsKou7q6+TVRcBQRERERKadinoiIiIiIiEi15Qt6+dF5EItC3uHMYW7bfNuI89zt7dsLQNJLsnL6ysJUmatnr2b59OUkvej/tGCtZXDwxRGFu97eR7DWTfNZX7+QtrYLC4W75uaz8by6iFOLiIiIiExM9J+4RURERERERE40+XPklbrpppop6A1kBnhm/zM8se8Jt7zs1tsOb4ONYDCcNvU0rlh0RWHE3VkzzqIh1RB1dACy2W7gIV56aWOheJfJvAyA5zXS2noe8+Z9KJgu85XU1c2MNrCIiIiIyHFQMU9ERERERESkmvKFvPzUmqtWuXV+lN4kFvQyfobNBzcXi3bB8vyh58nZHAApL8Xp007nwnkXcmXnlfz2xb/NqtmraK1rnZSMR5LLZRkY2Exf3+P09T1Ob+9j9PU9zuDgiwC8+CI0NJxGZ+dVtLaeT1vbBTQ2LsergdGCIiIiIiLVok+3IiIiIiIiEh/WjiyElW/XAmOgvb14jrwNG4rn0GtvDyVvzuZ48dCLPLHvCZ58+clC0e6Z/c+QybmpJj3jsaRzCStnrOR3VvwOK6avYMX0FSzuXEwqkQJg/fr1rDnHGZqTAAAgAElEQVRlTdXzjcday/Dw3qBo9xi9vW7d1/cU1g4FrTwaG0+jpWU1M2e+i61b01x44R+QSnVOel4RERERkcmkYp6IiIiIiIjEw9q10NVVLIzlR8C1t7vrasnatSMLjflz6B1nIc9ay66eXaOmx3zq5afoz/QX2i1oW8CK6Su4aslVhaLdsqnLqE/WH9fjV4Pv99PX9+SIkXZ9fY+RyewvtEmnZ9HUtJI5c/6Y5uYzaWpaSWPj6SQSxfxbt65XIU9ERERETgoq5omIiIiIiEjts9YV8vJTVV577cipLGt1hN6Rtsexv3//qOkxn3z5SboGuwptZjbPZMX0FdzwihsKRbszpp1BS11LNZ7BcbE2x8DAC8EIu2LhbmBgC2ABd367pqblTJnyBpqbV9LU5Ap36fTUaMOLiIiIiNQQFfNERERERESk9uVHtoEr4M2bVyzkTeI56MLQPdTNUy8/Napwt7dvb6FNe307K6cXp8dcPm05y6cvZ2pjbRS9hof3V5gi80lyufxoQUNDw2Kams5kxoy30tTkCncNDadijBdpdhERERGRWqdinoiIiIiIiMRDvqCXH50HsSrkDWQGeGb/M6OmyNx2eFuhTVOqieXTl4+YHnPF9BXMap6FqYHn6fuD9Pc/PWqKzOHhPYU2qdRUmprOZPbsG4Ki3UqampaTSDRGmFxEREREJL5UzBMREREREZF4yJ8jr9RNN9VUQc9ay76+fWw+uJktB7ew5eAW7nr6LvY+sZctB7eQszkA0ok0y6Yu46L5F7FiWrFot6B9AV4NjFSz1jI4uDUo1hULd/39zwE+AMbU0dS0nI6O1xXOa+emyJxRE4VHEREREZEThYp5IiIiIiIiUvvyhbz81JqrVrl1fpTeJBb0rLXs6d3DloNbRhTt8pd7h3sLbRMmwez62Zy38LzCFJkrpq9gcedikl70X8lzuSyDg1sZGNjCwMBm4Oc89NBf0Nf3BL7fU2hXX38KTU1nMm3aGwvntWtoWIxXA89BREREROREp0/dIiIiIiIiUvuMgfb24jnyNmwonkOvvb3qhbyczbG7Z/eogl1+6cv0FdomvSSndpzK4s7FvHr+q1ncuZglU5awuHMxC9oWcPev7mbNmjVVzXc0rPUZHHyJgYHN9PdvLhTuBgY2Mzj4ItZmS1q3YMw5zJz5jsJ57ZqalpNMtkSWX0RERETkZKdinoiIiIiIyMnO2pHFsPLtWrF27chs+XPoHWPWnM2xs3vnqJF1+WUgO1Bom/JSnNpxKkumLOHShZeOKNjNb5sf+Sg7V7DbXijSlRbuBgdfwNpMoa3nNdHYuITm5rOYNu1NNDQsoaFhCY2NS9i48SnOOefSCJ+JiIiIiIiUUzFPRERERETkZLZ2LXR1FUe55aezbG9319Wa8sLdOIW8nM2xo3sHmw+Mng7z+UPPM5gdLLRNJ9Is6ljE4s7FXH7q5SzuXFwo2s1rnUfCS4TxjCbM2hxDQ9sZGNgSFOpKlxewdrjQ1vMaaWhYTFPTCqZNu46GhsWFol06PfMI57R7enKejIiIiIiITJiKeSIiIiIiIicra10hL3/euWuvHXleulodoVfGz/ls795esWD3wqEXGPKHCm3rEnWFIt2Vi69kSeeSwvbc1rk1UrDbWVKkKy3cPY+1xefiefU0NCymsfF0pkx5fWF0XUPDYtLp2Uco2ImIiIiISJyomCciIiIiInKyyk9TCa6AN29esZB3HNNXVpu1loMDB9l2eFthuWvLXXxx9xfZfGAzLxx6gUyuOI1kfbKexZ2LWTZ1GVcvvdqNrguKdnNa5+AZL8Jn4wp2w8O7K4yu28LAwBZyueJoQWPqCqPqpky5qjC6rqFhCXV1szERPxcREREREQmfinkiIiIiIiIns3xBLz86Dya9kDeUHWJH944Rxbpth7exrbt4uT/TP+I29V49S6ctZfn05Vy77NrilJidS5jVMivygl0uN8TQ0A4GB7cB/8Pzz/90RNEulyuej8+YNA0Ni2hoWEJHx+uC0Xb5gt1cFexERERERE5yKuaJiIiIiIiczPLnyCt1001VK+hZa9nfv/+Ihbo9vXtG3W5m80zmt81nxfQVXLX4Kua3zR+xPHH/E1x66aXHne9YWGvJZPYxOLiNoaHtwXpbYT00tJ3h4ZHPaceOFPX1p9LYuISOjtcGo+vciLv6+nkYE+30niIiIiIiUrtUzBMRERERETlZ5Qt5+ak1V61y6/wovQkU9Aazg2w/vP2IxbrB7OCI2zQkG1jQvoD5bfM5c/qZowp1c1vnUpesO+Ljhnk+ON/vY3Bw+4gCXb5w5y5vH3HuOgDPa6S+fj51dfNpajqzcLm+fj6PPrqHiy9+C56nr+AiIiIiInL09E1CREREREQkDNaOLISVb9cCY6C9vXiOvA0biufQa2/HAvt69x6xULevb9/Iu8Qwq2UW89vmc/bMs3n90tePKtZ1NnSGWow7Emt9hoZ2VyjQFYt22ezBslt51NXNpq5uHs3Nq5g69bpCoa6ubh719fNJJo/0nNarkCciIiIiIsdM3yZERERERESqbe1a6OoqFsbyI+Da2911NSDjZ9jXt4/dN1zN7u5d7H7o62zcupFvHf4W285xBbvtf/nXDPkjR6A1pZoKo+peMfMVowp1c1rnkE6kI3lO1lqy2cOFqS7Lp790o+12AP6I2yUSbYWRdK2tFwSFunmFgl06PRvPS0XynERERERERFTMExERERERqSZrXSEvP1XltdeOnMoy5BF6fcN97O7dze6e3ezu3c2e3j2Fy6Xb+/v3Y7EjbuvhMfvQbOa3zefc2edy/bLrRxXr2uvbIxlV5wp1XQwP72F4eDdwBy+9dPeo6TB9v2fE7YxJUlfnCnPt7ReXjKgrjqxLJlsn/fmIiIiIiIhMlIp5IiIiIiISH3GZujI/Im/dOpg3r1jIm8A56CrJ2RwHBw6OW6Db3bub3uHeUbdPeSlmNs9kVsssTmk/hQvmXsCs5lnMapnFrOZZheueeeAZXnvZa4/3FTgqvj8YFOgqLbtHbFs7POK2L74IqdQ06urm0di4hI6O1xQKdfnpL9PpGRiTmNTnJCIiIiIiUk0q5omIiIiISDzEYOrKgnxBLz86DyoW8ob9Yfb27h1doOvZzZ6+4vbe3r1kcplRD9OSbikU4l4x6xUjCnP5Yt3M5pl0NnTiGW/c2Fu8Lcf91AGszZHJ7B+3ODc8vIdstqvCPRhSqWmk0zNJp2fS2LiscNkts3j00W1cfPGbSCQaq5JZRERERESkVqmYJyIiIiJysovDaLeIp648Ghk/w4H+/bz8qT9n/0K4M/MIj5wPu/9iNXvOW14YTbe7ZzcHBg5UvI9pjdMKBbkzpp1RcRTdrOZZNKWbJvW5ZbO94xbn3LKX8vPSASQSzYWCXFPTCjo6Li8r0rkllZo2gXPUrVchT0RERERETgoq5omIiIiInMziMtothKkrJ8JaS/dQNy/3v8z+/v283OfW+/v3F/aVX+4aDEaatQHvBIa+DVdCyn+QmY88y6y5Z7CoYxEXzbuoMHKutFg3vWk6qcR4hazqPT/f7yGTOUAmsx+4l927n69YoBsa2k0u11fhXhKk0zNIp2eRTs+iufmcEYW5urpZQYFuBslk86Q8LxERERERkROJinkiIiIiImHQaLfqm+DUlUcylB0aVYAbr0CXzWUr3lc6kWZa4zSmNk5lWtM0FrYvZGqDuzz1zvuY1gdT3/8htj79Eq9fcw2dH/sspr0D3rP2OF+IylxhrptMZn+wHBhjvZ9strjP2pHTdz77rFsnkx2FglxLy2qmTJkZFOzKR9FNwUxgCk8RERERERE5NirmiYiIiIhUm0a7hSP/OgZyBro++H5e/osPsH/gwJjFuNJiXc9wz5h339nQWSjOLepcxCvnvLJQqJvaONVdbixebk43Y8Z6jS6hUAxdv209U5qmwpf+z4RfU2tzZLOHxyzAVSrYZbMHsLZy4RESpFJTSKWmkkpNpaFhCa2tFxT2JZNu/cQT2zj//N8klZpBIlE/oawiIiIiIiISLhXzRERERCQeo8ggHjlPwtFuxyNnc/QM9XBo8BCHBg5xaPAQXYNdFS8fengjXb0vcegTHewd+hzdnzTkzFfhn7466n4bU40jim9LpywdUYgrL9B1NHSQ9Kr89ajwGubIZA6OOWKuWKQrve4glc455+42OaIA19i4rFCkKxbsioW7ZHIKyWTb2IXHEdZTX7+gWq+AiIiIiIiIVIGKeSIiIiInu7iMIotLzpiPdgPc9lFkzfgZV3Q7UiFu4BBdQ6OvOzx0mJzNjXnfCZOgvb6d9vp2OpIZOmbOZ97KVzJwaICzFp3JtNt/zdSGKUx923tHFOgaU43H86qM4EbJdZPNduH7h8lmuyosY++HLu6+u/JzNCY1ohDX1LS8UKQbqziXSLRMsDAnIiIiIiIiJwIV80RERETColFk1ROXnHkRj3absKCQZ9eto+/G97N/xQKevOltHPr+OrpSL3DobW/i0GDXyKJchYJd73DvER+mLlFHR0MHHfUddDR0MLN5JqdPPZ2O+g5XpAuuK73c0eC2W9Jlhav81JXr17NmzRq4bPyffS6Xxfe7J1h8G32d73cD9oiPkUi0kEy2kUy2k0y2U1c3JyjMtbNz52EWL141YjRdvjiXSBxhqk4RERERERERVMwTERGRuIlDgQw0iqza4pIzrwqj3SZiKDtE91A33UPd9Az3FC53D3XTM9Qz9nUl2z3tL9PzKUPOfAXu/Qq0Ae8CuBV+eGvhsVrSLYUCW0d9B4s6FxUulxbfKl2uTx77uddyuWGy2R6y2R58v7jAvezatWWc0XKuMOfaH1kikS/EuXV9/QKSybMKxbnS68qXRKIV7whTdO7cuZ65c9cc82sgIiIiIiIiJzcV80REREQFsmrTKLJwxCVn/n2Z/3mvWuXWQe7sF79Az3DvhItvR2qXyWXGjWMwtNa10lLXQmtda2GZ0zKncLkl3UxrXRu7X9rN+WedT3tdGx0NnYVRcm31bRM+n1wulykU3LLZAwz1baXf7y3ZN7Io5/u9o/YVt3uxdnjMx3ruufwlb1ShraFhccXCmyu+lRflWjAmMaHnJyIiIiIiIjLZVMwTEREJiwpk1RWnAplGkYVjknP6OZ++TB99w32Fde9w7/j7Mn30tt9P38cW0LfoYXY/+D+wCLo/2UiP+Sf6P7du/AcHGlONQaGtWIQ7pf0UV5RLt1Ys0JW2zV/flGoacxpHa3PkcoP4fh+5XD/3Zu7kFfMWBMW0HfjDTzM40ENv1hXWKhfcitdlsz1YOzTBVzhBMtlCItFCItEcrFtIp2cULuevK7ZrCaazbOHhh5/h/PMvD4pzzRjjTfBxRUREREREROJFxTwREZEwqEBWfXErkJ0go8hqJvMYOXNfXkc/w/R99pP0ZftdYa2k0NaX6Rt73zhFucHs4FFFTCfSNKebaUo10TStiabUVJoMdKY7OWX2KbQsvITWuraKhbfyolxzupmESWBtBt/vJ5frw/f7C0W34jp/uQvf3+n2DfTj9/bRlevnQEl7dz/l9zEw6nk89NBYz9CrWFxLpaZVLMqVF+DKb+d59cd5rrgM9fXzj+P2IiIiIiIiIvGgYp6IiMRLHEa7qUAWnrgUyCA+o92McUXm/M98w4bie6K9/ZiyZvwMA9kB+jP9DGQGGMgOjFj3Z/pH7Rt1XaX97S8y8IkOBjp/QPfGbzE8fZj+TwF8Bf7uKxPKlvSSxYJbuommVBPN6WamNE5hftt8mtJNNKeaC9eVtslfbkjW0ZBM0phM0ZDwaEh6NCTAIxuMchsglxskl3PrZ599lFNPnVsoyOVyL+P7W4tFut5+/MN9DOT66fX72VFSuAP/KF99g+c1kkg0kUg04nn5dWMw4m3kvvJ2zz67lZUrXzlqFJwrvjUcZ/FNRERERERERI6FinkiImGJQ9EpLy5Z4zLaTQWy8MSlQFYDo92stQz7wwz5QwxmBxnKBusK20O/dRaD2QEGH/kmj+58lAfveZCB66YwkB1k4GcfdMW0bOXCXKWinW+PtgDlJEyChlQDDckGGlONhcsNKbc95bRzaUy6/Yf2HWTxgkU0JFM0JutoTKVoTKRoSCZoSCSCtaEhYajzoD5hqfdyJE12RKEtvy4W4PaSy20d2SY7QG64pA0+fUDfUTy3F15wa2PqSCRcES1fTPO8RpLJNhKJWSP2FQttE93XhOfVHVfB7dln1zNlyppjvr2IiIiIiIiIVJ+KeeMwxswFPgNcCUwBdgM/BD5trT0UZTapcXEpjoCyhiEuRSeIT9Y4jXYDFcjCUAMFsvHkbI6Mn3FFtPY0wx94N8OfvJFt9/yKRz/8ToYSexhsOczQC3cUC2lHKLIVtn23nkhhLr895E/0vGUVbHGr0uJaQ7KehlQ9Dcl66pNp6hN1tDW2Up+cQl0iRUMyRX0iSV0iQV0iQX3Co84z1CU86hOGOs+Q9ix1HtR5OdKeJW0sdQmftPFJmSwJMlg7RC43TC43FFweJJc7XLIdXNde8vwsMFz5qQwFS3fZfmOSeF49ntdQcZ1KdQbbY7fxvHoSibGvy1++776HuOiiy0kkGjEmcew/FxERERERERE5KamYdwTGmEXARmA68CPgGeA84EbgSmPMhdbaAxFGlFoVl+IIKGsY4lR0ilPWuI12U4GsavIFskwuQ6a9jswH3kNm7Z+x555f89zH38+Qt5/h1n6Gd9zLsD88oWXIH5pw26Npn81li8EN0A58+V/c9iagNbju298c93mnEynqEmnqEinqEinSiSR1iWRx7SVo8TymNiRIe42kE82kPC8omhlSniHtQdqDlIGUZ0l5kDY5d9n4bo1PyvNJGZ8kWWyml5Z6jxTDeAxj7SDW9h7nDzFYAPDwvLpgBFkdnpfGenVkTB1+sN/z6kgm28raubb5y9u37+aUU04fVTgbXVwbq9A2mR+Dt5JMtkzi44mIiIiIiIjIiUTFvCP7J1wh70+ttX+f32mM+TvgJuAvgfdN+N5q6Y/ipeIy0gnikTVOxRFlDUecik5xygrxGe02yQUyay2+9cnmske9+DmfbHsX2Q9dR+a9r+Phx+7h0HtfTSb1HJmmbWQe/VaxkFZhnc1lK193tO3HWGdzWXI2V3yy+QLZ//m6274PaAuuu/nrR/3apb0EKS9BOuHWKc8LFkPK80gaU9iuN9DiGVJJSBlD0oOU8Uh69SRNHUljSRlL0liSXo6kKS5eLkN90pIgS9rLjSiypT1cka1knTTgmQyQOernZEwKY1JB4SuFMWk8z61L93te46h9xqR4+eVDzJqxYMwiWnkhbmS7uuDxytuV3kd1Pn5u376eBQvWVOW+RERERERERERqmYp5YzDGnApcAWwF/rHs6k8BNwC/Z4z5kLV2/FOm1OoIoriMdIL4ZI1TcURZwxOXohPUbNZ8gcrP+eRsDt/65HI+/kc/jN8IB3M97GoB/4N/gP/Jj5MN2vol63yx6kj7srnsiOsnuq/S/WRzmWA7g99xP9m/OJ3sufvZ/cxn+OqFHWRbTiGb+gnZ7zxVKFSNLKyVbucfx6+w7Y/Y9kuLXcfCAC3Ad37gtp8AmoPrfvSDI940aQxJz5Stg/0GEoZg211OGEvSQMpYGox120lLIuX2Jw0kStoX9pXdT9K4wtdY61TQ/kjrhAFjfMAHvKCYlcTzPIxJFLbL164wNnr/2Ncn2bVrH/PmnRIUusYrspVeX2nfWLdJB493fP93169fz2mnrTmu+xARERERERERkepRMW9slwXr260d+VdSa22PMeZuXLHvfOAX495bLY4gitNIpzhlhZotjlQUo6wWsH/3ReyX1+Fbn+EE5L7wV9jsIDmbI2dzWGzxsrVV2+8KSj6+zQbtfPxcNmjnrrM2F1zOkcv55L55M7mz4KncQxx4BeQ+dgX+b72FHLnC/eUKt3EFofx9+CX349uRbf2cy5XDJ5creczCUlr8ypEjF7TLX/bJ2XzuYL1lM7n3wcHcP/ClP4TcX87Cnzc3yJortPVLHt/PvzbWFZNyhdfP4tvgdtgggy3mthbfWiw5fGvxcxaLLbkPd/2Y2oH/BfR/Gj4EcDN8+eZJeQ9W4gFeUBjyjNtOGPBSkEiD9+zTrojVDYnWoKC1Z4tbky9wFW9fn9/2Rl5XrSWftfjYHknPI+F5JLwEXg7qUmmSXjIYqZYklUgG2+5yykuRSiRJBIWq4pKocLm4Dypdf+xtn3rqWVasOLsqxTZjvFDfJ7t2rWfRojWhPoaIiIiIiIiIiJyYVMwb22nB+rkxrt+MK+YtZZxiXt/AHv7ruXXw2QuwV03FPvyXWFeWwP292gbbbiTKiHVwgpniti3+a+2o/cW2JW0q7HfbOXgT2BlnwqPr2Pn4Jp7YuxE+vxJ74SD2V+8r3K70cUqzl+YsPpdi7pxrVLxtyeVc4Y/1Zfdvi49Caf7Lc9jZC+HFdex/7HZuG34a+zcLsMuehR9fVbxt4fZ2xOtZSG7tiMdh1L6y1w0b5AieT8W8jM69exf2f0Fv4gv8/YfB/u0U7IwZ7nUredzciLyMkW2s50BZO7cvV5armJVR94EF29+PXQsZ/+Mk1kLub+qx9fXuJ2nLbmuLP7/CT3/EdcXMxTbFy7a8bcnlXCFr+W0pXAbc2Ni+D8MngM83UrMagOuA/u/A6wHugB/eEdrDmWDxTHGdLy6Z8dYp8BaCsVvxFoBn9uK9vLdQqMrfT+n9JUoKV+nS/d7ox3drExSSDMYYEsbgBUvCeBgSJDyDwV2XMN7I640hMTCAZy1eSyt+JktDfT3e4W4SnkeyvdMVpIyHZzySXgLPuAJV0iSCfR4JkywUrhImEbRLlGwnSXoenkmW7EsV2iW9JJ5JkPJSJLxEUFxK4EZ2JYKikFeyz+P5519g8eJlhbbuukq3HX1d9ba9CteNLmCtX7+eNWvWhPMmrbKnnlrP1Klroo4hIiIiIiIiIiISKhXzxpY/A8/hMa7P728f7452Zrt58ysB/x649Z5qZKu+04GDG2EZMPw43Pl41InGNhM49DTMAAZegodfOmLzfIGjsG1G7ssPQCvfd9y3s2DagcG9mDYw2UOYXYfAGNfGGLwRt8vvL7nffNtCu+J2fho1M+r2pmQfwd7ifi/f1gSPNTSMIYNpSZFLeaSSaRgexrNgGhqCtiWZC4/liiz5+/by91lo764v3efhQnnlbYIXIWHyifO3LX0cQ2LPHth/ADN1Cv1tbbQc7sbbtx9v+nTM/PnB/XrBbb2geFS6z+DhCj0mX0giUbxsvEJbj+JlQ7DPSwR5Su4Dz03JF9xv4T7uu5/E0BCsuZSdO3aycP5CvF/8Eq+ugcSay/BMAs/z3Np4JILCSsJL4OH2eWVFJq9kSQSFKi8oTJlCsSZfSDIE5bVgnylcN2rfV/4ZunswH/4Imx54gPNWnw+f/ytMSxvceFPJfVZel9535bXheKf9GyEYiVsoOtXayNwKnn9+PXPnrok6hoiIiIiIiIiIiMSQinnHLv+X44pzwRljbsCdV486YMVa2A/7XoLtkxNv4hbAvKkw/WVgGrWbE44ta3HM4uSZC7MTkAiyTQX2L4B5Pvg7sLuKyaJXzJrZDpmSrMP+DoZ3RZ2vVDHrge1woCTrPn8H+2oqa9EjELwHivt+FVGWcXzu36E860f/Pqo0E1H2utY0ZQ2HsoYjLlnjkhOUNSzKGg5lDYeyhkNZw6Gs1ReXnKCsYVHWcChrOJQ1HMoajjhlPW38JmNTMW9s+ZF3bWNc31rWbgRr7deArwEYYx54wNpzqxuv+owxD7wUg5wQv6xWWatOWcOhrOFQ1nAoazjikjUuOUFZw6Ks4VDWcChrOJQ1HMpafXHJCcoaFmUNh7KGQ1nDoazhiFvW47n96JPlSN6zwXrpGNcvCdZjnVNPRERERERERERERERE5LiomDe2O4P1Fcad9KnAGNMCXAgMAPdOdjARERERERERERERERE5OaiYNwZr7fPA7cBC4I/Krv400AT8q7W2bwJ397XqpgtNXHKCsoZFWcOhrOFQ1nAoaziUtfrikhOUNSzKGg5lDYeyhkNZw6Gs1ReXnKCsYVHWcChrOJQ1HMoajpMmq7HWVivICccYswjYCEwHfgQ8DbwSuBQ3vearrLUHoksoIiIiIiIiIiIiIiIiJzIV88ZhjJkHfAa4EpgC7AZ+CHzaWnswymwiIiIiIiIiIiIiIiJyYlMxT0RERERERERERERERKRG6Zx5IiIiIiIiIiIiIiIiIjVKxTwRERERERERERERERGRGqVinoiIiIiIiIiIiIiIiEiNSkYd4GRjjOkEmq2126LOEmfGmNnA+UAW2GCtPRxxpCMyxjwE3GKt/VzUWcZijDHAGUATsNVauy/iSBUF/4feA5wHNABbge9aa++KMNOFwP3W2kxUGY6WMWYuMA14ylo7FOzzgLcBq4Bh4BfW2p9Gl7LIGNMOvBpYBnQAPrAP2GStvSfKbOWMMQuBS4GlQDtggcPAc8Cd1tqtUWWT6Bhj6oDluH7rcVvDJy02xtwC/Nxa+5WosxyJMaYJ12ftt9bmos5TiTEmCbyRkX3Wf1lrX4gw0xxr7c6oHv9YGGNSuM/Ph8r2v5pin/VLa+3TUeQrF3ymWknlPmt3lNnKqc+SSuLUZ4H6rWqqtX5LfVb41GeJTB71r+FQ/3rMmdTHhii0/tVaq2USF+AbQDbCx+8E1gGPAg8CnwPaxmj7qYizvg54AhgE7gfOC/a/HegL/hP4QBfwpqh/tuM8lxzwtRrIsRTorLD/D4C9Ja9pFrgNmBth1g8CdwGJkn3nluTMlSw+8HcR/3z3Al8Alkb9cx4nqwG+WvKz3ga8AqgDflX22vrA9wATYd5O4Obg94A/xrIZuL4GXtuFwNaz8CoAACAASURBVP+U5Mox+n3qAz8BTok671E8r6j7rTRwE/Aj4PvB76vEGG1vBF6IMOtZwI+BZ4H/BBYF+68A9pS8B14ELor6Z3uE51ErfVYa8Crsf13wGab0c8BXgNYIs/4e8J2yPmsR8HSF36tDwI0R/3wfBf6IMT4D1tICfBToDV67B4BTgr7su2V9QRb424iz1gGfBHYfoc/6BbC6Bl5X9VnhPL76rGiei/qto88ai35LfVaoWdVnRf+8Iu2z4pRV/Wtkz0X969FnjUX/WvLzVR9b/Zyh9q8meBCZJMaYbwBvt9YmInjsZmATrqBjSq7aBrzRWvtgWftPAZ+MKOtS4DHcL+wu3FFX+4ErgY24TvEXwBzgOtwvoLOstc9GkPVfJ9DsbcAW4N5g21pr3xFeqsqMMT6w1lr72ZJ9fwj8Pe49sRN4GXfUQD0u8znW2r4Ist4LdFlrrwy2U7iizXzgFuAHwCHcUQ434UaZvc1a+/8iyFp65I8FNuAKZrfYGhutZ4x5C66j2wfchzsqqBv34fzzwA+BO3Gv5/uAKcD7rbVfiyBrG+7/zGm49+VW3Be5abgPHLcBFwaLAT5hrf38ZOcMss7BfZiYEeS8Hfd+PRxkawWW4D7AL8R9iD/XWrsrgrhHJeJ+KwX8EngVxX7LAg/j+q2XytpH2W/NAZ7E/azzXgQuBx4CBoB7cP3Watz/u+V2ko+EM8Z8ZgLNPo57jX8SbFtr7afCS1XZGH3WG3G/wxK4D+k9uKPcLO4zzkXW2mwEWdcDWGvXBNsGeATXRz2A+8NDvs96B+4D/m9Ya2+PIGu+z7K49+V/4r6k3zv2raJhjHkd7nf9EO6o+yW4A72+Afwj7sv7Xbh+4U241/W3rbXfiyBrHfBz4CLca7sfmIr73fVEsFwALMC9d99trf23yc4ZZFWfFc5jq88Kgfqt0LKuh9rvt9RnhZZVfVYNiLLPOlrqXydG/Ws41L+GllV9bPVzht+/RlWlPFkX3JvMj+ixP40ret0avHHOxR2xkD964fyy9p+KMOvXcENjXxNsX4QbmfMM8FMgVdL26uB5/WNEWfNHVJQfHVZ+pNiI7QizfrJkuwX3IbgL+M2S/a24YpkPfCSirPuBdSXbvxnk/6sKbecG7e+K8HX9Oq4YtrvkZ74P+N/AkihyjZH1l7jC2PRge3qQs4uyI1eAebgPl7+OKOvfBq/lh6Bw8InBjdr0gbcE+5bhPhj7wKsiyvovQdY/zmcdo50B/jT/non6/TDB5xZlv/XB4LV6APgd3Iey24J9O4DFZe2j7Le+GOR6d/A79G24D2f34grnbSVt3xu0/ZsIcsa5z0rj/kAzgDt6sC7YfxruQB8f+MOIsu4F/qFk+7Ig/zcrtF2Jm2HgZxG+rt/DHTE6UPIzfxT4QyI8krVC1p/gvpifFmwvDfqlXcC/lf6+Bc7GfVa8PaKsnwheyy/jpn4BaMbNiJEBLgv2XYH7Y+QwsCKirOqzwnls9VnhZFW/FU7WWPRb6rNCy6o+qwaWKPusOGVV/xpaVvWv4WSNRf9a8rqqj61uztD7V43MO07GmKM9910H0GijOULkMdxoqzNsydEJxpjX4/7jZoArrLWbgv1RHs3yFG5Y/NUl+24B3gBcaMuOEjDGbMR1issnNykYY/pwnfPHgMcrNcEVUH6CK04AYK3dMCkBS4O4oy7WWms/E2y/AVe0+5C19ktlbZtwR7xts9aeH0HWAdzUmR8Ltv8M+BtggbV2R4X2/xdX3Gktvy5spa+rMSYBXAvcALwG8HBHY6zHFakjHa1njNkB/I+19oaSfV8H3oWb/mFrWftvAW+w1rZPalD32FuAF621l1e47nag3Vp7XrA9HTdi9w5r7ZsnNykYY3YC91lrr59g+x/ihtTPCTdZxcc+2vNLLgWmRdQXbAJm46av7SvZ/8fAl3Af4C+xwTzzEfdbj+Hm6L+sZN/PgNfi+tZflLV/FMhZa8+Z5Jw+bmqKv8IdfDCqCW5q2w3AN/M7rbXfmox8I4KM7rOuxE2x9Hlr7cfL2k7F9VmPWWsviSDrIO6AiI8H2x/ETb282Fr7YoX2/wZcba3tmNyko/qsTuD3cVMVnUbxqMz/wP0hLNKjMo0xLwHrbclsBsGMCG8FTrfWPlfW/j9wB4JNndykhc+uh621F1S47h5g0Fp7abC9CPeZ8Xs2mpka1GeFQH1WONRvhZY1Fv2W+qxwqM8KR8z6rDhlVf8aAvWvoWWNRf8aPLb62OrnDL1/TVYr7Els7jHcJqoK6iLgZls2zNha+9/GmCtwR7b81BhzubX2oUgSFs3HjSAslf+P+USF9o/g5iWOwjm4owC+AHwGd1RN6bSLuFHV7I6igDeOxbj34w/Kr7DW9hljfg68ftJTObtwHxjz8u/b3jHa9+EKZ5Gy1vq4Ody/b4xZgCvqvRN3ou41wAFjzDdxneHmCCJ24kYxlno5WO+p0H430BhqorHNxb2WlTyCOwILAGvtPmPMf+OObonCFNzI4Yl6CjdtcBTyw/3NeA1LRNVvnQZ8x5ZN9Wut/QdjzC7g/wG/NMZcYsumV4nAAtx0CqUew31xq9Sn3gv8dtihKrgU92Xsz4A/sRWmJjbG3AxsjuKL2jhOx70XR+Wy1u43xvwP7rwJUdiHm9opL///6+XRTQvt68MMNBHW2oO4I4i/aNxJw98LXI/7IvdOY8zjuANRvm2t7Y4g4nTcEdel8tuV/s+/yMhpjSbTKcA/jHHd3bjXFgBr7fPGmFtx/x+joD4rHOqzwqF+Kxyx67fUZ1WV+qxwxKnPilNW9a/hUP8ajtj1r6A+topC718j/8P3CWAv8Ki11pvIAkzk/GphyTJGIcRauxH3gScF/MwYc9ZkBqvAZ/T7cwDAWlvpOXThsk+6oPr/KtzRLJ8GNhpjTosiyzHIH6k01nzyO4mukHM7cHVwpAK4ofIGNzpzhGBO4tdRLPjWBGvtS9aNLJwPvBH3nDpxH5aejijWTlxhv9SpwbrS+3YZbj7vKPTipvqsZC5uOHqpHbjRz1HYjZvzfqLOo/LRb5PhEO6giFMmuIxVUJ0MHnCw0hXW2luA38IdpXmnMWas98pk8XAj3Ev1AlhrK/0fOkAEH9qttXcBZwL/Dfy7Mea/gqMX4yAdrMf6kr4NN310FNbj+qxpwfZDuD7rsvKGxh3hswb3BaNmWGvvsta+Ffd/6kO40c5n4s6rO+nn8QjsYfSBc7OD9YIK7Rfgpl+JwiDuD46VdFbYtwX3pTQK6rPCoT4rBOq3QrOeGPdb6rOOm/qscMSpz4pTVvWvIVD/Gpr1xLh/BfWxxyn0/lXFvOP3MHC6MWaioxyjnNd0G3DGWFdaa+/BnZesHnckyaRPWVliHzCzbN8TuJNxVjIH1wlGwlrrB8O9X4Wr/D9sjPlQ8Iu51rQZY+YbY+bj5heGsX9xTMcVSqPw17ii7h3GmCuttffjfv5fNsa83xgzyxjTYIxZjRvFuQQ3j3vNCd4fP7DW/gaucPaXVB4FNxnuB15vjLkIwBhzIa5A+hTw18aYwgdJY8zluHNSPhBFUNxRatcbY1aV7gy2r2f0kW3TiO79+iPgMmPMF4yborYiY0yTMeYLuCNvfjhp6UZ6GDcqd1tQcD7iwtijYSfD9iBrRdbaH+KmVZiHm874WEbLV8t+YEbZvh24/3OVzGCML6Vhs9b2WmvfBVwHXAw8ZdwJxGtR6eem/JecI304juIoQXDnR23CzXBwurX2TtwXuX82xvxGvlHwpe5m3Dz+340i6HistYestV+y1p4BvBo3FfukT1MUeAy4zhizGCBYX4f7v1U+pc7K4LpHJztk4GHgjcGo/IJg+42Mnoq9g+j+iKs+Kxzqs0KifisUJ0S/pT7rmKnPCkec+qw4ZVX/GhL1r6E4IfpXUB97jMLvX20NnMQwzgtuNJYPnDXB9t8kuhOG/gvul1nDOO0uw01Z6EeY9QfAk0fR/gFgQ9TvhyBLPe7Elj7wa1yRKQd8rQay5U9mWr68aYz2dwMPRJj3dcF71scdXfdz3FFO5flzwC2AF+Hr+smjvE1UWVfgRrT5uKPx8uvTcR88t+FOgLu+5LW+JqKslwSPP4Sbp/uvcB9yBivlwnWKd0SUtQN3tJIfvGdvC34PfCZY1gX7uoP3yzO4c/5FkfVvg5ynT7B9lP3Wv+Omo0iO0+53caPPo+y3fgI8dBTtfwXcG0XWshzTcH/w8HFT1HTGoM+6aoz2d+BmS4gq7ztLfm/eC3y7ZLsfN5tDvs/aCNRH+LoebZ8V1e+ri4K8fbgvRn24mRpeFbym9+GmOf8m7o9MPvD2iLJeF2Q9gDsg6b3Ben+Q651l7e8DfhVRVvVZ4WRVnzU52dVvVS9vzfdb6rNCy6o+K5ysceqz4pRV/evkZFf/Wr28Nd+/lryu6mOrmzP0/nXSX/wTbcEN9/8ScOYE25+GOzFrFFnzb6j3TaDtFcF/iqg6wN8HfgGkJ9B2RfC8Phv1+6Es12twQ77zv0RqoQP8xhjLOyu0XRS8rl+JOPMpuOlp+4I85ctDwLsBE2HGo+4AI35NrwGeDDq8TcBFwf7LcUeF5V/bYeATEWd9T5AzV5brI2XtWoKOu+KHuUnK2gl89Qjv1fwHj38GOiPM+VrcAROvnGD7C4F3RJT1rcHr9jsTaPsOgi9vEWX9c9yJtifSb50S9AtfiOp9UCHTu4DDuAMnaqXPWg/cWWG5sULb2bgvSDdHnPl84K4j/A7YB3yWcQ6sCjlj3Pqs9+NGXedwX3zfFOx/G+5gj9LX9/9GnPWzjD7YKAf8U1m7FtxsA78XYVb1WdXPqj5rcp+D+q3qZK7pfkt9VqhZ1WdVP2ec+qw4ZVX/OrnPQf1rdTLXdP8aZFQfG07OUPtXE9xYTgLBVKCLgB5r7VjnSCttvxSYZa3dEHq442CM6cQNp3/JWhvVFHsVGWPacMXec4DvW2s/F3GkCTPGzMCdL+15a235SUajyJPEFW6n44Z1HwKetZXnHZ9UwXDpLmvt4aizHC9jTAfuyJY64B5rbVTnGygI3otX4abe3Q/8zFq7LdpUYzPGNAIX4A7eaAt2H8YdUXqvLTtxt4wteC0vBvZYa8edIsEYswZYYGvvBN0jBNMcn4M7anN71HnyjDELcVN9nAN8y1r7gUgDHQVjzCm4qT8etNY+UQN55uAO+BrRZwGPWWv9iLNdAmy1bsqkWAg+A3Raa/eV7V+COwCtDndE46Yo8pUyxpyNO4Au32f92Lqp7GuS+qzqUZ81+dRvVTVPTfZb6rPCpT5L4kD96+RT/1rVPDXZvwbZ1MeGJMz+VcU8ERERERERERERERERkRrlRR1ARERERERERERERERERCpLRh3gRGGMaQLeBFwGLAXaAYsb8v8c7vxvt1hreyMLGVDWcEwg6y9xU23GIWucXldlPQZ6v0YrmMZ4prX2rqizjEdZwxGXrHHJCcoaFmUNR8yytuJOdl+zU1znKWs4lDUcylp9cckJynoMGZLAtPLTQBhjVgGX4M6T9lNr7XNR5CsVp6xQmGpvzL8L1NKpd5Q1HMoaDmUNR1yyhpZzMk78d6IvwDXAHkae1LB88XEnD71aWZVVWZVVWU+8rEf5vL5BRCflVtbaWOKSNS45lVVZlfWoH38R8CPcF8oDwLeBU8Zo+yllVVZlVdaossYlp7KGmvVdwEHc9749BN/7gI/iCmP574oZ4ANR5Yxh1tXA44z/Xfsx4FxlVVZlVVZljT6nRuYdJ2PMBcAtuB/Ct4HbgM24D0QGaAWWAFcBbwFuMcZcbK29T1mVVVmVVVlPjKwiIiJxYYyZDvwamFGy+3eBq40xb7XW/iSaZKMpaziUNRzKWn1xyQnKGpZgNNvXgWHgUeA04LvGmOuAzwE/A34KzAXeC/ytMeZua+0mZT1i1mXAnUAj8CuO/F37IuCXxpjzrLXPKKuyKquyKmuEOaOsqJ4IC/AToBtYNYG2q4Ee4FZlVVZlVVZlPaGyeke5fJPojm5W1pM4a1xyKquyKmuoWb+EOyL0K8AsYArwYaAPGAKuLWsf5YgcZVVWZT2Js8Ylp7KGmvU7QD+wPNheivvetxP4t7K2q3EHgn5DWcfN+h+4ouM1E2j7hqDtd5VVWZVVWZU12pyT/uKfaAtuOoKvH0X7fwEOKKuyKquyKusJldU/lkVZlVU5lVVZlTWCrM8AD1fYvxo3JdggJVNXE+0fcZVVWZX1JM4al5zKGmrW54Dvle37TtCPnlWh/c+B55R13Kx7gW8fRfvvAHuVVVmVVVmVNdqcmmbz+DXg5sOeqP1AfUhZxqOs4VDWcChrOJQ1HAb3pXfvBNtPxQ27j4KyhiMuWeOSE5Q1LMoajjhlXQD8U/lOa+0mY8yrcVPDfM8Yc7219rZJTzeSsoZDWcOhrNUXl5ygrGGZC3y/bN+Lwfq5Cu2fBl4VaqKxxSlrK7D9KNq/FNwmCsoaDmUNh7KGIy5ZQ8+pYt7x2wxcY4z5hLV2+EgNjTF1wDXAlklJNpqyhkNZw6Gs4VDWcGwHeq21yyfS2BjzDeDt4UYak7KGIy5Z45ITlDUsyhqOOGUdwI0SGMVa+5wxZg2wAfi+Meb1kxmsAmUNh7KGQ1mrLy45QVnDMgiky/YNA1hrByq078cdYBOFOGV9CbhsIg2NMQZ4DbAt1ERjU9ZwKGs4lDUccckaek7vGELJSN8AlgF3GGNebYwZ9ZoaYzxjzCXAHbgT4N48yRnzlDUcyhoOZQ2HsobjYWBJUFSsdcoajrhkjUtOUNawKGs44pT1JeCssa601m7GfbHsAX4IXDhJuSpR1nAoaziUtfrikhOUNSx7gdll+34N/O8x2s/FzdgShThl/Q9gtTHmu8aYBWM1Cq77LrAKNx1cFJQ1HMoaDmUNR1yyhp9zsucOPdEWXEH0e7iTB/u4DzuPAncFy6PBPj9o85+Ap6zKqqzKqqwnVNZPBxlWT7D9N4GcsiqrciqrsiprBFn/Hjcqo22cditxf2SM8vx+yqqsynoSZ41LTmUNNet3gS1H0f4p4HZlHfex63GFxvx37aeBHwH/Giw/Cvblv2v/GqhTVmVVVmVV1mhzTvqLf6IuwO/g/ricCX4YpUsGN0XBb0edU1mVVVmVVVlDybgMuBFYMsH2U4AFyqqsyqmsyqqsEWS9MuhDPzqBtmcDB4juj7jKqqzKehJnjUtOZQ016xtws6+kJ9D2guB5fUxZJ5Q3DXwUN1Kz/Ht2ftkKfGQiz0lZlVVZlVVZw89pggeRKjHGpIHFQFuw6zDuyJwjnu8pCsoaDmUNh7KGQ1lFREROPsF0oL61NjuBtu240RsvhZ+s4uMrawiUNRzKWn1xyRk8vrJGKPi+2AD0TeR5RanWshpjFuFOW1H6XftZa+3z0aWqTFnDoazhUNZwxCVrGDlVzDtOxpizrbWPRJ1jIpQ1HMoaDmUNh7KGQ1nDoazVF5ecoKxhUdZwKGs4lDUcyhoOZa2+uOQEZQ2LsobDGDPFWnsg6hwToazhUNZwKGs44pJ1MnKqmHecjDE53LDJW3AnBv61rdEXVVnDoazhUNZwKGs4lDUcylp9cckJyhoWZQ2HsoZDWcOhrOFQ1uqLS05Q1rAoaziMMVncqSx+APzIWrst4khjUtZwKGs4lDUccck6KTlthHOdnggL8OfA3QQnBAb2AF/FzUGeijqfsiqrsiqrsiqrsipr3HIqq7Iqq7Iqq7Iqq7LGJaeyKmsMs/4jsB137iYf2IQ7x9PpUWdTVmVVVmWNa9bJyKmReVVijJkJXBcslwBJoAf4Ca4ae5u1ti+6hEXKGg5lDYeyhkNZw6Gs4VDW6otLTlDWsChrOJQ1HMoaDmUNh7JWX1xygrKGRVnDYYw5D3gjcC2wBLDAZuD7wA+ttZsijDeCsoZDWcOhrOGIS9Ywc6qYFwJjTBtwDXA9cAXQCAwCd+CG299qa2SeV2UNh7KGQ1nDoazhUNZwKGv1xSUnKGtYlDUcyhoOZQ2HsoZDWasvLjlBWcOirOEwxpyBy3kdcA7uj8+7cAXIW4C7rLW56BIWKWs4lDUcyhqOuGStes7JHm54si1APa4K+y1gP26YZQa4E/iTqPMpq7Iqq7Iqq7Iqq7LGLaeyKquyKquyKquyKmtcciqrssYw63zgA8D6IKMfZL4ZuCbqfMqqrMqqrHHMWo2cGpk3iYwxCeBSXCX29cBsa20i2lSVKWs4lDUcyhoOZQ2HsoZDWasvLjlBWcOirOFQ1nAoaziUNRzKWn1xyQnKGhZlDYcxZiquCHkdcBmQVtbjp6zhUNZwKGv1HWtOFfMiZIw5z1p7f9Q5JkJZw6Gs4VDWcChrOJQ1HMpafXHJCcoaFmUNh7KGQ1nDoazhUNbqi0tOUNawKGv1GWOagaustf8ZdZbxKGs4lDUcyhqOuGQ9mpwq5omIiIiIiIiIiIgIAMaYPwWesNb+Muos41HWcCjr/2/vzoMlK8sDjD/vsOvgzMgIgrKKyFIRlW0QlQkhEGIQIalSoxUE1HFBAQuTGGMcNVZiqkQMiDIsjnGLJQqCGFAcFgHZHUVcIJBhX5RlAIEBZt788Z3Wnqb7LnP7u3378vyqulrO+fqc5/bcf8Z3zjl12FrHsLROtHNGn3uelSJiZkQcGxEnR8R7I2LdZvsWEXF2RDwcEQ9ExH9FxCa22mqrrbbaaqutdtpqq6222mqrrbZOj05bbR221jE4HnjzoCPGyNY6bK3D1jqGpXVCnV6ZN0ER8RzgSmBHIIAElgAHAdcCLwMeAp5HGZ7+CtglM5+w1VZbbbXVVltttdNWW2211VZbbbV1eDtttXUIW/cZw7ILgO8Dx7U2DOKKF1vrsLUOW+sYltZJ6cxMXxN4AUcBq4CvUB5aeyqwElgM3Ans0aybCXy52XeMrbbaaqutttpqq5222mqrrbbaaqutw91pq61D2LqqOf+4Xrbaaquttg620yvzJigirgRmZuZObdt+CrwceHtmfqVt+zrArcD/ZubrbLXVVltttdVWW+201VZbbbXVVlttHd5OW20dwtZVwCPAWZT/87mbQ4GbgMtbGzLzsPp1q7O1DlvrsLWOYWmdlM41nTT6+sPE9V7ghI5tn6NMVjftsn4x8DtbbbXVVltttdVWO2211VZbbbXVVluHu9NWW4ew9aPACuBSYNsea1YBiwbRZ6uttto6jK2T0TkDTdTzgOUd2x4AyMy7u6y/q/nMINhah6112FqHrXXYWoet/TcsnWBrLbbWYWsdttZhax229t+wdIKttdhaQWZ+EtgTmAMsjYgjB9ExFrbWYWsdttYxLK2T0ekwb+IeAF7QsS2aVzezKZdbDoKtddhah6112FqHrXXY2n/D0gm21mJrHbbWYWsdttZha/8NSyfYWoutlWTmdcCrgFOAz0XEkojYclA9I7G1DlvrsLWOYWmt3ekwb+JuBrbr2PZJYIMe67ek/OubQbC1DlvrsLUOW+uwtQ5b+29YOsHWWmytw9Y6bK3D1jps7b9h6QRba7G1osxckZnHAPsCLwGuj4gFg2zqxdY6bK3D1jqGpbVmp8O8ibsO2C0i1mptyMyVmbmic2FEzALmA1dMXt5qbK3D1jpsrcPWOmytw9b+G5ZOsLUWW+uwtQ5b67C1Dlv7b1g6wdZabJ0EmXkh8CfAWcBJEfFDIAdb1Z2tddhah611DEtrlc4c8AMMh/0FbEj51zQxhrU7A58F9rTVVltttdVWW22101ZbbbXVVltttXW4O221ddhaR2k7BLgPWAUsGnSPrbbaaut0aO1XZzQHkyRJkiRJkiQ9i0XEHGAL4P7MvGPQPSOxtQ5b67C1jmFp7Ufn2v1NenaLiA2AeZR7ZM+mXDa5HLgRuCIzHx9g3mpsrcPWOmytw9Y6bK3D1v4blk6wtRZb67C1DlvrsLUOW/tvWDrB1lpsrWOU1hsHmPYMttZhax221jEsrdU6B32J4XR4AXOAk4BHgJU9Xo8Cnwfm2Gqrrbbaaqutttppq6222mqrrbbaOj06bbXVVltttdVWW2t3epvNCYqI2cDlwPbA74HLgJsok9YAnge8FNgLeC7wa+DVmfmQrbbaaqutttpqq5222mqrrbbaaqutw9tpq6222mqrrbbaOimdg5yoTocX5YG1q4DPADNHWDcTOK5Ze5ytttpqq6222mqrnbbaaqutttpqq63D3Wmrrbbaaquttto6GZ1emTdBEfF/wM2Zue8Y1y8Bts7MreuWdT23rRXYWoetddhah6112Np/w9LZnNvWCmytw9Y6bK3D1jps7b9h6WzObWsFttZhax221mFrHbb232R0zljTOP3BpsBV41h/RfOZQbC1DlvrsLUOW+uwtQ5b+29YOsHWWmytw9Y6bK3D1jps7b9h6QRba7G1DlvrsLUOW+uwtf+qdzrMm7j7gZeNY/0OzWcGwdY6bK3D1jpsrcPWOmztv2HpBFtrsbUOW+uwtQ5b67C1/4alE2ytxdY6bK3D1jpsrcPW/qve6TBv4s4H3hgR7x1tYUQcCbwBOK96VXe21mFrHbbWYWsdttZha/8NSyfYWoutddhah6112FqHrf03LJ1gay221mFrHbbWYWsdtvZf9U6fmTdBEfEi4DpgLrAM+AFwI7C8WTIL2A7YD9gKuA/YNTPvtNVWW2211VZbbbXTVltttdVWW221dXg7bbXVVltttdVWWyelMzN9TfAFbEOZvK5qXis7Xq3t5wHb2Gqrrbbaaqutttppq6222mqrrbbaOj06bbXVVltttdVWW2t3emVeH0XE1sA+lHujzmo2Lwd+A1yYmbcMqq2TrXXYWoetddhah6112Np/w9IJttZiax221mFrHbbWYWv/DUsn2FqLrXXYWoetddhah639V6vTYZ4kSZIkSZIkSZI0Rc0YdIAkSZIkSZIkSZKk7hzmSZIkSZIkSZIkm1NJ9wAACvtJREFUSVOUwzxJkiRJGkVELIuIZYPuGK+IWDciboqIcwfdUltEZERcNAnnmd+ca2Htc3Wc94SIeDAi5k7meSVJkiQNnsM8SZIkSZokkzVwavMBYFvgXybxnFXUHKhGxG7Nn80Haxy/Tz4FrAcsHHCHJEmSpEnmME+SJEmSpqGIeC7wEeCHmXntoHumuIOb97MGWjGCzLwHWAwsiIgtBpwjSZIkaRI5zJMkSZKk6elvgdmUAZBGdjDws8y8ZdAho/gysDbwrkGHSJIkSZo8DvMkSZIkCYjiyIi4ISKeiIg7I+LEiJjVY/2siPhQRCyJiDsi4smI+G1EnB0R8zrWvj0isvnPvZtbOrZeCzvW7hERZ0TEPc0xb4+IkyNis3H+SEcAT9LlarOIWNice35EvCUiro2IxyLirog4LiLWa9btExEXRcTDzfPavhIRG/X4PnaJiG9HxH0RsSIibo2IkyJi0y5rFzfn3yoiFkTE9c13fm9ELGr/zlvPqAO2BLbs+O4Wdzn23OYYdzcdN0TEYb2+pIjYHtgeOLNj+yYRcVrT9HhELI2IQ0c4zi4R8bmI+FlEPND8PDdFxGciYk7H2nc3/V1vfxoRL4yIpyLi+vbtmXklsAw4PCKiV4skSZKk6WXtQQdIkiRJ0hRxPOUZc3cDi4CngIOAPYB1KYOxdjtQnmN2CXAu8CCwBfAG4ICIODAzz2vWLgU+DnwMuJXVr5a7qPU/mqHTKcAK4GzgduClwDuAAyNiXmbeNtoP0gzDdgWuzszHRlj6fuAAysDvImA/4Bjg+RHxXeC/m59tEfBq4G3A3OYz7ef7K+DbQABnND/jLsB7gIMiYq/MXNbl/P8B7A+cA/wA+FPgnZTn/O3TrFlG+e6Obv77+LbPL+043mzgMsqf1RnA+sDfAKdHxKrM/HKXhkOa9++0/TwbAZcD2wCXNq9NgS82nd28k3KF38XABcBawKuAD1J+H/bIzEeatV8FPg28IyI+lZkrO451OOXv6yd3Oc9lwFuBnYBf9GiRJEmSNI1EZo6+SpIkSZKmsYh4NWVIcjOwe2Y+0GxfH7gQmAfcmplbtX1mFrBOZv6u41gvBq4ClmfmDh37Erg4M+d3adiOMpy5Ddg7M+9s27cP8EPg7Mw8uPOzXY71F8D/ACdm5vu77F9IGSw+DMzLzF8129cDrqNcqfYQcEhmXtzsmwGcD+wLvDIzlzbbZ1IGbnOA+Zn547bz/APw75Tn9u3Xtn0xcChlWPma1oAyItYGlgCvBfbIzKvaPrMMoP3PoONnav3l9jRgQWtAFhE7Aj8HbszMHbt87mpgTmZu27ZtEWU4d3xmHtO2fVfgJ5RB28czc2Hbvi2BOzoHcxFxBHAq8I+Z+em27ScC7wMOzMzvtW0Pyu/hJsBmmbm843hHUQaa78vMk7p9F5IkSZKmF2+zKUmSJEnQug3jp1qDPIDMfAL4cLcPZObyzkFes/0OylVh20fEFuNoeA+wDnBU+yCvOeYSypV6B0bEhmM4Vuu8d4+y7j9bg7zmPCuAb1L+rnhua5DX7FtFuaIMYOe2YxwEbAR8s32Q1/gMZdD35z2+i0+0X2mYmU8DX2r+c/dR2rt5DPhg+0AtM39JGdTu0PndRcTmlCsYz2zbtg7lyrdHgIXt6zPzGuBr3U6cmbd2ucIO4HTK0HT/ju1faN4XdGzfD9ia8n0u55nuad7H87slSZIkaYh5m01JkiRJKrdDhHKLxE4/Bp7u9qGI2As4CtgT2JhyO852L6JcaTcWezbve0fEbl32b0y5deN2wLWjHKv1XLsHR1l3TZdtdzXv3c7RGjK+uG1b67tb0rk4M5+OiEuArYBX8szvotv5b2/e53TZN5qbMvPhEY45mzKka2ld5dj+vLztgecAP+4xTLuIclXhapoh4ALgzcCOwCxW/we0L2pfn5k3NN/NARGxeWa2Gt/VvH+xy7kBWsPmuT32S5IkSZpmHOZJkiRJUhm8ANzbuSMzV0bE/Z3bI+JgyhV4T1BugXkz8HtgFTAf2BtYbxwNrQHch0ZZN3MMx3q8eV9/lHXdhlVPj2HfOm3bWt9dr6sAW9tnd9n30AjnWKvH8UbS7XgjHfNgypVuP2nb1vN3oXFPj+3fbI53C/DdZt2KZt/RdP9dOAl4HeWZiB+LiBdSnrm4tP0Wox02aN4f77FfkiRJ0jTjME+SJEmS/ji42oQyjPmDiFiLMmi7s+MznwSeBHZtv1Vl85mTKcO8NWmY1ePqsvG4r3nfaMRV/dHqfmGP/Zt2rJsSImIjyrP5TsnVHybf/rvQzTN+zuZZegcDFwB/mZlPte2bAfx9j2N9hzI0PCIiPgEcTvl7+skjpLf+TO8bYY0kSZKkacRn5kmSJEkSXNe8dxvAvZbu/xByW+CXXQZ5M4DX9DjPKnpfcXZF2/km6ufN+/Z9ONZoftq8z+/cERFr88fv4rrO/eO0kjW7Wq+XNzTHO7Nj+68pz957RUTMesanuvyclN8FgLPbB3mN3fnj1XSradaeSrkF54GUK/Qepcdz+RqtP9OlI6yRJEmSNI04zJMkSZIkWNy8fyQint/aGBHrA//W4zPLgJdGxGZt6wP4GOWZad3cD2zeY9+JwFPAZyNiu86dEbFuRIx10HcD8Ftg3hjXT8RZlOe4vSUiOs93NLANcEFmjvXZgb3cD7wgIroOxtbAIZTbcl7YvrEZsH0N2BBY2L6vuQLvrV2Otax5n9+xfmPg86N0LKIMKk8Etga+npmPjLB+XrP+klGOK0mSJGma8DabkiRJkp71MvOyiDgBeD/wi4g4gzJYOwh4kO7Pg/ss8EXgpxHx7Wb9XpRB3jmUK606/Qh4c0ScA1xLeZbbJZl5SWb+OiIOB04HboiI84AbKc+n24Jyxd5vGcPVdpmZEXEm8K6I2CkzbxjrdzFemflo0/0t4OKI+BZwG7ALsB/l2XEL+nCqHwG7AedFxCWU59H9LDPPGe+BImImsC9wRpcr6QD+Cfgz4OhmgHcp5XahbwK+T7mqr93VwGXAIRFxebN+E+AA4DfAXb1aMvO2iDi37Zg9b7HZXCm4O/CjzJxSty2VJEmSVI9X5kmSJElScRRlmLecMnx6C3A+ZejzZOfizDwZOIwy6DuUcsXW7cAe9L6l5FHANygDmY9Snru3T9sxv0oZgn0NeDlwJPA2ym0czwDeO46f56Tm/e/G8Zk1kpnfpQwyvw/sDxwL7EAZdu6SmbeM8PGx+tfmeC8BPkz57v56DY91ALA+z7zFJgCZ+TvKz/MlyvD0aOAVwHsoQ9zO9Sspw7gvAJsBH6DcXvRUyvfRbWDY7vTm/ZrMHOl2pG9qur8wyvEkSZIkTSOx+nO+JUmSJEnTRUScD+wMbJ2Zjw+6Z6qIiK8DbwTmZuZjU6BnIeX2rO/IzNNGWHcNMBPYqRkgSpIkSXoW8Mo8SZIkSZq+jgXmMr4r+qa1iFgXeD3wgykyyNsQeDfluYPfGGHdGylXbR7rIE+SJEl6dvGZeZIkSZI0TWXm9c3z7DYcdMtUkZlPArMG3RERrwdeRXm24iaUId1Iw8UNgGMy83uT0SdJkiRp6vA2m5IkSZIkTbKIWEx51uK9lGfm/XNmrhpolCRJkqQpyWGeJEmSJEmSJEmSNEX5zDxJkiRJkiRJkiRpinKYJ0mSJEmSJEmSJE1RDvMkSZIkSZIkSZKkKcphniRJkiRJkiRJkjRFOcyTJEmSJEmSJEmSpiiHeZIkSZIkSZIkSdIU9f+QjdgpoMhk5wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 2160x2160 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the results\n",
    "plt.figure(figsize=[30,30])\n",
    "\n",
    "ax = ax_growth_model(conf_df.cumulative_cases, (exponential_predictions[0], exponential_generalized_predictions[0]), subplot=211)\n",
    "ax.set_title('Exponential Growth Fitted on all dataset.')\n",
    "\n",
    "ax = ax_growth_model(conf_df.cumulative_cases, (exponential_predictions[1], exponential_generalized_predictions[1]), fit_up_to=fit_up_to, subplot=212)\n",
    "ax.set_title('Exponential Growth fitted only on early data points.')\n",
    "\n",
    "plt.rc('font', size=20)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**The following observations can be made :**\n",
    "\n",
    "- When the full data is used to fit the models, the generalised exponential growth seems to better fit the data\n",
    "- When fitted on only the first part of the data, both models seem to fail to accurately predict the growth\n",
    "\n",
    "**Conclusion :**\n",
    "\n",
    "- The inability of the models to predict the growth on behalf of early data points indicate **a fall in the rate of growth** of this pandemic\n",
    "- Logistic models may do better than exponential models in the days that are yet to come"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ...to be continued, subject to the availability of data in the days to come"
   ]
  }
 ],
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