business-profit-loss.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import Dependencies\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Retrieve the Stock data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>Symbol</th>\n",
       "      <th>Name</th>\n",
       "      <th>2019-12-31</th>\n",
       "      <th>2020-03-31</th>\n",
       "      <th>2020-06-30</th>\n",
       "      <th>2020-10-09</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>Agilent Technologies, Inc. Common Stock</td>\n",
       "      <td>85.309998</td>\n",
       "      <td>71.620003</td>\n",
       "      <td>88.370003</td>\n",
       "      <td>105.760002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AA</td>\n",
       "      <td>Alcoa Corporation Common Stock</td>\n",
       "      <td>21.510000</td>\n",
       "      <td>6.160000</td>\n",
       "      <td>11.240000</td>\n",
       "      <td>12.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AAA</td>\n",
       "      <td>Listed Funds Trust AAF First Priority CLO Bond...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.895000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AAAU</td>\n",
       "      <td>Perth Mint Physical Gold ETF</td>\n",
       "      <td>15.150000</td>\n",
       "      <td>15.720000</td>\n",
       "      <td>17.780001</td>\n",
       "      <td>19.219999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AACG</td>\n",
       "      <td>ATA Creativity Global - American Depositary Sh...</td>\n",
       "      <td>1.360000</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>1.260000</td>\n",
       "      <td>1.080000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9158</th>\n",
       "      <td>ZUO</td>\n",
       "      <td>Zuora, Inc. Class A Common Stock</td>\n",
       "      <td>14.330000</td>\n",
       "      <td>8.050000</td>\n",
       "      <td>12.750000</td>\n",
       "      <td>11.060000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9159</th>\n",
       "      <td>ZVO</td>\n",
       "      <td>Zovio Inc. - Common Stock</td>\n",
       "      <td>2.060000</td>\n",
       "      <td>1.650000</td>\n",
       "      <td>3.060000</td>\n",
       "      <td>4.530000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9160</th>\n",
       "      <td>ZYME</td>\n",
       "      <td>Zymeworks Inc. Common Shares</td>\n",
       "      <td>45.459999</td>\n",
       "      <td>35.470001</td>\n",
       "      <td>36.070000</td>\n",
       "      <td>47.099998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9161</th>\n",
       "      <td>ZYNE</td>\n",
       "      <td>Zynerba Pharmaceuticals, Inc. - Common Stock</td>\n",
       "      <td>6.040000</td>\n",
       "      <td>3.830000</td>\n",
       "      <td>3.370000</td>\n",
       "      <td>3.680000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9162</th>\n",
       "      <td>ZYXI</td>\n",
       "      <td>Zynex, Inc. - Common Stock</td>\n",
       "      <td>7.870000</td>\n",
       "      <td>11.070000</td>\n",
       "      <td>24.870001</td>\n",
       "      <td>19.730000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9163 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Symbol                                               Name  2019-12-31  \\\n",
       "0         A            Agilent Technologies, Inc. Common Stock   85.309998   \n",
       "1        AA                    Alcoa Corporation Common Stock    21.510000   \n",
       "2       AAA  Listed Funds Trust AAF First Priority CLO Bond...         NaN   \n",
       "3      AAAU                       Perth Mint Physical Gold ETF   15.150000   \n",
       "4      AACG  ATA Creativity Global - American Depositary Sh...    1.360000   \n",
       "...     ...                                                ...         ...   \n",
       "9158    ZUO                   Zuora, Inc. Class A Common Stock   14.330000   \n",
       "9159    ZVO                          Zovio Inc. - Common Stock    2.060000   \n",
       "9160   ZYME                       Zymeworks Inc. Common Shares   45.459999   \n",
       "9161   ZYNE       Zynerba Pharmaceuticals, Inc. - Common Stock    6.040000   \n",
       "9162   ZYXI                         Zynex, Inc. - Common Stock    7.870000   \n",
       "\n",
       "      2020-03-31  2020-06-30  2020-10-09  \n",
       "0      71.620003   88.370003  105.760002  \n",
       "1       6.160000   11.240000   12.520000  \n",
       "2            NaN         NaN   24.895000  \n",
       "3      15.720000   17.780001   19.219999  \n",
       "4       0.950000    1.260000    1.080000  \n",
       "...          ...         ...         ...  \n",
       "9158    8.050000   12.750000   11.060000  \n",
       "9159    1.650000    3.060000    4.530000  \n",
       "9160   35.470001   36.070000   47.099998  \n",
       "9161    3.830000    3.370000    3.680000  \n",
       "9162   11.070000   24.870001   19.730000  \n",
       "\n",
       "[9163 rows x 6 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Set stock data csv file path\n",
    "stock_data_url = os.path.join(\"Resources\",\"stock_data.csv\")\n",
    "\n",
    "# Read the Stock data from CSV file into dataframe\n",
    "stock_data_df = pd.read_csv(stock_data_url)\n",
    "stock_data_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Cleanup\n",
    "\n",
    "* Remove NaNs\n",
    "* Rename Column Names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Doing data cleanup, and dropping the bad record:\n",
    "cleaned_stock_df = stock_data_df.dropna(how='any')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Symbol        7608\n",
       "Name          7608\n",
       "2019-12-31    7608\n",
       "2020-03-31    7608\n",
       "2020-06-30    7608\n",
       "2020-10-09    7608\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking if cleaning dataframe function has produced desired results:\n",
    "cleaned_stock_df.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7608, 6)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Using the (.shape) function to see the shape of dataframe: \n",
    "cleaned_stock_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Name</th>\n",
       "      <th>2019-12-31</th>\n",
       "      <th>2020-03-31</th>\n",
       "      <th>2020-06-30</th>\n",
       "      <th>2020-10-09</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>Agilent Technologies, Inc. Common Stock</td>\n",
       "      <td>85.309998</td>\n",
       "      <td>71.620003</td>\n",
       "      <td>88.370003</td>\n",
       "      <td>105.760002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AA</td>\n",
       "      <td>Alcoa Corporation Common Stock</td>\n",
       "      <td>21.510000</td>\n",
       "      <td>6.160000</td>\n",
       "      <td>11.240000</td>\n",
       "      <td>12.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AAAU</td>\n",
       "      <td>Perth Mint Physical Gold ETF</td>\n",
       "      <td>15.150000</td>\n",
       "      <td>15.720000</td>\n",
       "      <td>17.780001</td>\n",
       "      <td>19.219999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AACG</td>\n",
       "      <td>ATA Creativity Global - American Depositary Sh...</td>\n",
       "      <td>1.360000</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>1.260000</td>\n",
       "      <td>1.080000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AADR</td>\n",
       "      <td>AdvisorShares Dorsey Wright ADR ETF</td>\n",
       "      <td>53.889999</td>\n",
       "      <td>40.340000</td>\n",
       "      <td>52.990002</td>\n",
       "      <td>57.990002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Symbol                                               Name  2019-12-31  \\\n",
       "0      A            Agilent Technologies, Inc. Common Stock   85.309998   \n",
       "1     AA                    Alcoa Corporation Common Stock    21.510000   \n",
       "3   AAAU                       Perth Mint Physical Gold ETF   15.150000   \n",
       "4   AACG  ATA Creativity Global - American Depositary Sh...    1.360000   \n",
       "8   AADR                AdvisorShares Dorsey Wright ADR ETF   53.889999   \n",
       "\n",
       "   2020-03-31  2020-06-30  2020-10-09  \n",
       "0   71.620003   88.370003  105.760002  \n",
       "1    6.160000   11.240000   12.520000  \n",
       "3   15.720000   17.780001   19.219999  \n",
       "4    0.950000    1.260000    1.080000  \n",
       "8   40.340000   52.990002   57.990002  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The stock cleaned dataframe:\n",
    "cleaned_stock_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Name</th>\n",
       "      <th>Pre_COVID</th>\n",
       "      <th>Mar_2020</th>\n",
       "      <th>Jun_2020</th>\n",
       "      <th>Oct_2020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>Agilent Technologies, Inc. Common Stock</td>\n",
       "      <td>85.309998</td>\n",
       "      <td>71.620003</td>\n",
       "      <td>88.370003</td>\n",
       "      <td>105.760002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AA</td>\n",
       "      <td>Alcoa Corporation Common Stock</td>\n",
       "      <td>21.510000</td>\n",
       "      <td>6.160000</td>\n",
       "      <td>11.240000</td>\n",
       "      <td>12.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AAAU</td>\n",
       "      <td>Perth Mint Physical Gold ETF</td>\n",
       "      <td>15.150000</td>\n",
       "      <td>15.720000</td>\n",
       "      <td>17.780001</td>\n",
       "      <td>19.219999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AACG</td>\n",
       "      <td>ATA Creativity Global - American Depositary Sh...</td>\n",
       "      <td>1.360000</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>1.260000</td>\n",
       "      <td>1.080000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AADR</td>\n",
       "      <td>AdvisorShares Dorsey Wright ADR ETF</td>\n",
       "      <td>53.889999</td>\n",
       "      <td>40.340000</td>\n",
       "      <td>52.990002</td>\n",
       "      <td>57.990002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Symbol                                               Name  Pre_COVID  \\\n",
       "0      A            Agilent Technologies, Inc. Common Stock  85.309998   \n",
       "1     AA                    Alcoa Corporation Common Stock   21.510000   \n",
       "3   AAAU                       Perth Mint Physical Gold ETF  15.150000   \n",
       "4   AACG  ATA Creativity Global - American Depositary Sh...   1.360000   \n",
       "8   AADR                AdvisorShares Dorsey Wright ADR ETF  53.889999   \n",
       "\n",
       "    Mar_2020   Jun_2020    Oct_2020  \n",
       "0  71.620003  88.370003  105.760002  \n",
       "1   6.160000  11.240000   12.520000  \n",
       "3  15.720000  17.780001   19.219999  \n",
       "4   0.950000   1.260000    1.080000  \n",
       "8  40.340000  52.990002   57.990002  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Renaming the cleaned stock dataframe columns: \n",
    "renamed_df= cleaned_stock_df.rename(columns={'2019-12-31': 'Pre_COVID',\n",
    "                                             '2020-03-31': 'Mar_2020',\n",
    "                                             '2020-06-30': 'Jun_2020',\n",
    "                                             '2020-10-09': 'Oct_2020'})\n",
    "renamed_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Name</th>\n",
       "      <th>Pre_COVID</th>\n",
       "      <th>Mar_2020</th>\n",
       "      <th>Jun_2020</th>\n",
       "      <th>Oct_2020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>Agilent Technologies, Inc. Common Stock</td>\n",
       "      <td>85.309998</td>\n",
       "      <td>71.620003</td>\n",
       "      <td>88.370003</td>\n",
       "      <td>105.760002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AA</td>\n",
       "      <td>Alcoa Corporation Common Stock</td>\n",
       "      <td>21.510000</td>\n",
       "      <td>6.160000</td>\n",
       "      <td>11.240000</td>\n",
       "      <td>12.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AAAU</td>\n",
       "      <td>Perth Mint Physical Gold ETF</td>\n",
       "      <td>15.150000</td>\n",
       "      <td>15.720000</td>\n",
       "      <td>17.780001</td>\n",
       "      <td>19.219999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AACG</td>\n",
       "      <td>ATA Creativity Global - American Depositary Sh...</td>\n",
       "      <td>1.360000</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>1.260000</td>\n",
       "      <td>1.080000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AADR</td>\n",
       "      <td>AdvisorShares Dorsey Wright ADR ETF</td>\n",
       "      <td>53.889999</td>\n",
       "      <td>40.340000</td>\n",
       "      <td>52.990002</td>\n",
       "      <td>57.990002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7603</th>\n",
       "      <td>ZUO</td>\n",
       "      <td>Zuora, Inc. Class A Common Stock</td>\n",
       "      <td>14.330000</td>\n",
       "      <td>8.050000</td>\n",
       "      <td>12.750000</td>\n",
       "      <td>11.060000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7604</th>\n",
       "      <td>ZVO</td>\n",
       "      <td>Zovio Inc. - Common Stock</td>\n",
       "      <td>2.060000</td>\n",
       "      <td>1.650000</td>\n",
       "      <td>3.060000</td>\n",
       "      <td>4.530000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7605</th>\n",
       "      <td>ZYME</td>\n",
       "      <td>Zymeworks Inc. Common Shares</td>\n",
       "      <td>45.459999</td>\n",
       "      <td>35.470001</td>\n",
       "      <td>36.070000</td>\n",
       "      <td>47.099998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7606</th>\n",
       "      <td>ZYNE</td>\n",
       "      <td>Zynerba Pharmaceuticals, Inc. - Common Stock</td>\n",
       "      <td>6.040000</td>\n",
       "      <td>3.830000</td>\n",
       "      <td>3.370000</td>\n",
       "      <td>3.680000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7607</th>\n",
       "      <td>ZYXI</td>\n",
       "      <td>Zynex, Inc. - Common Stock</td>\n",
       "      <td>7.870000</td>\n",
       "      <td>11.070000</td>\n",
       "      <td>24.870001</td>\n",
       "      <td>19.730000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7608 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Symbol                                               Name  Pre_COVID  \\\n",
       "0         A            Agilent Technologies, Inc. Common Stock  85.309998   \n",
       "1        AA                    Alcoa Corporation Common Stock   21.510000   \n",
       "2      AAAU                       Perth Mint Physical Gold ETF  15.150000   \n",
       "3      AACG  ATA Creativity Global - American Depositary Sh...   1.360000   \n",
       "4      AADR                AdvisorShares Dorsey Wright ADR ETF  53.889999   \n",
       "...     ...                                                ...        ...   \n",
       "7603    ZUO                   Zuora, Inc. Class A Common Stock  14.330000   \n",
       "7604    ZVO                          Zovio Inc. - Common Stock   2.060000   \n",
       "7605   ZYME                       Zymeworks Inc. Common Shares  45.459999   \n",
       "7606   ZYNE       Zynerba Pharmaceuticals, Inc. - Common Stock   6.040000   \n",
       "7607   ZYXI                         Zynex, Inc. - Common Stock   7.870000   \n",
       "\n",
       "       Mar_2020   Jun_2020    Oct_2020  \n",
       "0     71.620003  88.370003  105.760002  \n",
       "1      6.160000  11.240000   12.520000  \n",
       "2     15.720000  17.780001   19.219999  \n",
       "3      0.950000   1.260000    1.080000  \n",
       "4     40.340000  52.990002   57.990002  \n",
       "...         ...        ...         ...  \n",
       "7603   8.050000  12.750000   11.060000  \n",
       "7604   1.650000   3.060000    4.530000  \n",
       "7605  35.470001  36.070000   47.099998  \n",
       "7606   3.830000   3.370000    3.680000  \n",
       "7607  11.070000  24.870001   19.730000  \n",
       "\n",
       "[7608 rows x 6 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Setting the index for renamed stock dataframe:\n",
    "renamed_df = renamed_df.reset_index()\n",
    "renamed_df = renamed_df[[\"Symbol\",\"Name\",\"Pre_COVID\",\"Mar_2020\",\"Jun_2020\",\"Oct_2020\"]]\n",
    "renamed_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview table that summarizes key metrics about each business, including:\n",
    "\n",
    "* NASDAQ Symbol\n",
    "* Security Name\n",
    "* Pre-COVID Stock Value\n",
    "* March 2020 Stock Value\n",
    "* June 2020 Stock Value\n",
    "* October 2020 Stock Value\n",
    "* Calculate the percentage of change for each time period being assessed:\n",
    "    - Pre-COVID % Change\n",
    "    - March 2020 % Change\n",
    "    - June 2020 % Change\n",
    "    - October 2020 % Change\n",
    "* Create a dataframe to hold the above results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        23.971404\n",
       "1       -41.794513\n",
       "2        26.864685\n",
       "3       -20.588233\n",
       "4         7.608095\n",
       "           ...    \n",
       "7603    -22.819257\n",
       "7604    119.902929\n",
       "7605      3.607566\n",
       "7606    -39.072846\n",
       "7607    150.698854\n",
       "Name: Oct 2020 % Change, Length: 7608, dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculating the percentage of change for each time period we are assessing:\n",
    "\n",
    "# Setting PreCovid = 0 for plotting purposes:\n",
    "renamed_df[\"Pre COVID % Change\"] = 0\n",
    "\n",
    "# Calculating the percentage change that occured over the period from December 2019 to the end of March 2020:\n",
    "renamed_df[\"Mar 2020 % Change\"] = (renamed_df[\"Mar_2020\"] - renamed_df[\"Pre_COVID\"])/renamed_df[\"Pre_COVID\"]*100\n",
    "renamed_df[\"Mar 2020 % Change\"]\n",
    "\n",
    "# Calculating the percentage change that occured over the period from March 2020 to the end of June 2020:\n",
    "renamed_df[\"June 2020 % Change\"] = (renamed_df[\"Jun_2020\"] - renamed_df[\"Pre_COVID\"])/renamed_df[\"Pre_COVID\"]*100\n",
    "renamed_df[\"June 2020 % Change\"]\n",
    "\n",
    "# Calculating the percentage change that occured over the period from June 2020 to the end of October 2020:\n",
    "renamed_df[\"Oct 2020 % Change\"] = (renamed_df[\"Oct_2020\"] - renamed_df[\"Pre_COVID\"])/renamed_df[\"Pre_COVID\"]*100\n",
    "renamed_df[\"Oct 2020 % Change\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Name</th>\n",
       "      <th>Pre_COVID</th>\n",
       "      <th>Mar_2020</th>\n",
       "      <th>Jun_2020</th>\n",
       "      <th>Oct_2020</th>\n",
       "      <th>Pre COVID % Change</th>\n",
       "      <th>Mar 2020 % Change</th>\n",
       "      <th>June 2020 % Change</th>\n",
       "      <th>Oct 2020 % Change</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>Agilent Technologies, Inc. Common Stock</td>\n",
       "      <td>85.309998</td>\n",
       "      <td>71.620003</td>\n",
       "      <td>88.370003</td>\n",
       "      <td>105.760002</td>\n",
       "      <td>0</td>\n",
       "      <td>-16.047351</td>\n",
       "      <td>3.586924</td>\n",
       "      <td>23.971404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AA</td>\n",
       "      <td>Alcoa Corporation Common Stock</td>\n",
       "      <td>21.510000</td>\n",
       "      <td>6.160000</td>\n",
       "      <td>11.240000</td>\n",
       "      <td>12.520000</td>\n",
       "      <td>0</td>\n",
       "      <td>-71.362158</td>\n",
       "      <td>-47.745236</td>\n",
       "      <td>-41.794513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AAAU</td>\n",
       "      <td>Perth Mint Physical Gold ETF</td>\n",
       "      <td>15.150000</td>\n",
       "      <td>15.720000</td>\n",
       "      <td>17.780001</td>\n",
       "      <td>19.219999</td>\n",
       "      <td>0</td>\n",
       "      <td>3.762381</td>\n",
       "      <td>17.359743</td>\n",
       "      <td>26.864685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AACG</td>\n",
       "      <td>ATA Creativity Global - American Depositary Sh...</td>\n",
       "      <td>1.360000</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>1.260000</td>\n",
       "      <td>1.080000</td>\n",
       "      <td>0</td>\n",
       "      <td>-30.147060</td>\n",
       "      <td>-7.352943</td>\n",
       "      <td>-20.588233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AADR</td>\n",
       "      <td>AdvisorShares Dorsey Wright ADR ETF</td>\n",
       "      <td>53.889999</td>\n",
       "      <td>40.340000</td>\n",
       "      <td>52.990002</td>\n",
       "      <td>57.990002</td>\n",
       "      <td>0</td>\n",
       "      <td>-25.143810</td>\n",
       "      <td>-1.670064</td>\n",
       "      <td>7.608095</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Symbol                                               Name  Pre_COVID  \\\n",
       "0      A            Agilent Technologies, Inc. Common Stock  85.309998   \n",
       "1     AA                    Alcoa Corporation Common Stock   21.510000   \n",
       "2   AAAU                       Perth Mint Physical Gold ETF  15.150000   \n",
       "3   AACG  ATA Creativity Global - American Depositary Sh...   1.360000   \n",
       "4   AADR                AdvisorShares Dorsey Wright ADR ETF  53.889999   \n",
       "\n",
       "    Mar_2020   Jun_2020    Oct_2020  Pre COVID % Change  Mar 2020 % Change  \\\n",
       "0  71.620003  88.370003  105.760002                   0         -16.047351   \n",
       "1   6.160000  11.240000   12.520000                   0         -71.362158   \n",
       "2  15.720000  17.780001   19.219999                   0           3.762381   \n",
       "3   0.950000   1.260000    1.080000                   0         -30.147060   \n",
       "4  40.340000  52.990002   57.990002                   0         -25.143810   \n",
       "\n",
       "   June 2020 % Change  Oct 2020 % Change  \n",
       "0            3.586924          23.971404  \n",
       "1          -47.745236         -41.794513  \n",
       "2           17.359743          26.864685  \n",
       "3           -7.352943         -20.588233  \n",
       "4           -1.670064           7.608095  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# I confirmed that all the columns, which contain the percent changes, were correctly assigned in the dataframe:\n",
    "renamed_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top Performing Businesses (By October 2020 Profit % Change)\n",
    "\n",
    "\n",
    "* Sort and display the top ten performing businesses by October 2020 Profit % Change."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Name</th>\n",
       "      <th>Pre_COVID</th>\n",
       "      <th>Mar_2020</th>\n",
       "      <th>Jun_2020</th>\n",
       "      <th>Oct_2020</th>\n",
       "      <th>Pre COVID % Change</th>\n",
       "      <th>Mar 2020 % Change</th>\n",
       "      <th>June 2020 % Change</th>\n",
       "      <th>Oct 2020 % Change</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4892</th>\n",
       "      <td>NVAX</td>\n",
       "      <td>Novavax, Inc. - Common Stock</td>\n",
       "      <td>3.980000</td>\n",
       "      <td>13.580</td>\n",
       "      <td>83.349998</td>\n",
       "      <td>111.220001</td>\n",
       "      <td>0</td>\n",
       "      <td>241.206027</td>\n",
       "      <td>1994.221057</td>\n",
       "      <td>2694.472379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7276</th>\n",
       "      <td>VXRT</td>\n",
       "      <td>Vaxart, Inc. - Common Stock</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>1.770</td>\n",
       "      <td>8.850000</td>\n",
       "      <td>7.290000</td>\n",
       "      <td>0</td>\n",
       "      <td>405.714289</td>\n",
       "      <td>2428.571581</td>\n",
       "      <td>1982.857167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1357</th>\n",
       "      <td>CODX</td>\n",
       "      <td>Co-Diagnostics, Inc. - Common Stock</td>\n",
       "      <td>0.895000</td>\n",
       "      <td>7.620</td>\n",
       "      <td>19.350000</td>\n",
       "      <td>14.420000</td>\n",
       "      <td>0</td>\n",
       "      <td>751.396653</td>\n",
       "      <td>2062.011262</td>\n",
       "      <td>1511.173227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7270</th>\n",
       "      <td>VVPR</td>\n",
       "      <td>VivoPower International PLC - Ordinary Shares</td>\n",
       "      <td>1.050000</td>\n",
       "      <td>0.740</td>\n",
       "      <td>1.320000</td>\n",
       "      <td>16.280001</td>\n",
       "      <td>0</td>\n",
       "      <td>-29.523805</td>\n",
       "      <td>25.714296</td>\n",
       "      <td>1450.476326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6774</th>\n",
       "      <td>TRIL</td>\n",
       "      <td>Trillium Therapeutics Inc. - Common Shares</td>\n",
       "      <td>1.030000</td>\n",
       "      <td>4.040</td>\n",
       "      <td>8.090000</td>\n",
       "      <td>15.370000</td>\n",
       "      <td>0</td>\n",
       "      <td>292.233017</td>\n",
       "      <td>685.436930</td>\n",
       "      <td>1392.233040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4949</th>\n",
       "      <td>OAS</td>\n",
       "      <td>Oasis Petroleum Inc. - Common Stock</td>\n",
       "      <td>3.260000</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.160000</td>\n",
       "      <td>0</td>\n",
       "      <td>-89.263804</td>\n",
       "      <td>-76.993865</td>\n",
       "      <td>-95.092025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3756</th>\n",
       "      <td>JDST</td>\n",
       "      <td>Direxion Daily Junior Gold Miners Index Bear 2...</td>\n",
       "      <td>244.500000</td>\n",
       "      <td>67.750</td>\n",
       "      <td>16.980000</td>\n",
       "      <td>9.620000</td>\n",
       "      <td>0</td>\n",
       "      <td>-72.290389</td>\n",
       "      <td>-93.055215</td>\n",
       "      <td>-96.065440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4823</th>\n",
       "      <td>NRGU</td>\n",
       "      <td>MicroSectors U.S. Big Oil Index 3X Leveraged ETN</td>\n",
       "      <td>47.147999</td>\n",
       "      <td>2.214</td>\n",
       "      <td>4.080000</td>\n",
       "      <td>1.660000</td>\n",
       "      <td>0</td>\n",
       "      <td>-95.304149</td>\n",
       "      <td>-91.346399</td>\n",
       "      <td>-96.479172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6396</th>\n",
       "      <td>SRRA</td>\n",
       "      <td>Sierra Oncology, Inc. - Common Stock</td>\n",
       "      <td>547.200012</td>\n",
       "      <td>9.820</td>\n",
       "      <td>12.100000</td>\n",
       "      <td>11.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>-98.205409</td>\n",
       "      <td>-97.788743</td>\n",
       "      <td>-97.852705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3044</th>\n",
       "      <td>GUSH</td>\n",
       "      <td>Direxion Daily S&amp;P Oil &amp; Gas Exp. &amp; Prod. Bull...</td>\n",
       "      <td>1462.000000</td>\n",
       "      <td>15.660</td>\n",
       "      <td>34.299999</td>\n",
       "      <td>24.170000</td>\n",
       "      <td>0</td>\n",
       "      <td>-98.928865</td>\n",
       "      <td>-97.653899</td>\n",
       "      <td>-98.346785</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7608 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Symbol                                               Name    Pre_COVID  \\\n",
       "4892   NVAX                       Novavax, Inc. - Common Stock     3.980000   \n",
       "7276   VXRT                        Vaxart, Inc. - Common Stock     0.350000   \n",
       "1357   CODX                Co-Diagnostics, Inc. - Common Stock     0.895000   \n",
       "7270   VVPR      VivoPower International PLC - Ordinary Shares     1.050000   \n",
       "6774   TRIL         Trillium Therapeutics Inc. - Common Shares     1.030000   \n",
       "...     ...                                                ...          ...   \n",
       "4949    OAS                Oasis Petroleum Inc. - Common Stock     3.260000   \n",
       "3756   JDST  Direxion Daily Junior Gold Miners Index Bear 2...   244.500000   \n",
       "4823   NRGU   MicroSectors U.S. Big Oil Index 3X Leveraged ETN    47.147999   \n",
       "6396   SRRA               Sierra Oncology, Inc. - Common Stock   547.200012   \n",
       "3044   GUSH  Direxion Daily S&P Oil & Gas Exp. & Prod. Bull...  1462.000000   \n",
       "\n",
       "      Mar_2020   Jun_2020    Oct_2020  Pre COVID % Change  Mar 2020 % Change  \\\n",
       "4892    13.580  83.349998  111.220001                   0         241.206027   \n",
       "7276     1.770   8.850000    7.290000                   0         405.714289   \n",
       "1357     7.620  19.350000   14.420000                   0         751.396653   \n",
       "7270     0.740   1.320000   16.280001                   0         -29.523805   \n",
       "6774     4.040   8.090000   15.370000                   0         292.233017   \n",
       "...        ...        ...         ...                 ...                ...   \n",
       "4949     0.350   0.750000    0.160000                   0         -89.263804   \n",
       "3756    67.750  16.980000    9.620000                   0         -72.290389   \n",
       "4823     2.214   4.080000    1.660000                   0         -95.304149   \n",
       "6396     9.820  12.100000   11.750000                   0         -98.205409   \n",
       "3044    15.660  34.299999   24.170000                   0         -98.928865   \n",
       "\n",
       "      June 2020 % Change  Oct 2020 % Change  \n",
       "4892         1994.221057        2694.472379  \n",
       "7276         2428.571581        1982.857167  \n",
       "1357         2062.011262        1511.173227  \n",
       "7270           25.714296        1450.476326  \n",
       "6774          685.436930        1392.233040  \n",
       "...                  ...                ...  \n",
       "4949          -76.993865         -95.092025  \n",
       "3756          -93.055215         -96.065440  \n",
       "4823          -91.346399         -96.479172  \n",
       "6396          -97.788743         -97.852705  \n",
       "3044          -97.653899         -98.346785  \n",
       "\n",
       "[7608 rows x 10 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sorting the percent change in the value of the stocks from highest to lowest: \n",
    "renamed_df_sorted = renamed_df.sort_values(\"Oct 2020 % Change\", ascending=False)\n",
    "renamed_df_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_e1c1174c_11af_11eb_b966_f40f2432773f\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Symbol</th>        <th class=\"col_heading level0 col1\" >Name</th>        <th class=\"col_heading level0 col2\" >Pre_COVID</th>        <th class=\"col_heading level0 col3\" >Mar_2020</th>        <th class=\"col_heading level0 col4\" >Jun_2020</th>        <th class=\"col_heading level0 col5\" >Oct_2020</th>        <th class=\"col_heading level0 col6\" >Pre COVID % Change</th>        <th class=\"col_heading level0 col7\" >Mar 2020 % Change</th>        <th class=\"col_heading level0 col8\" >June 2020 % Change</th>        <th class=\"col_heading level0 col9\" >Oct 2020 % Change</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_e1c1174c_11af_11eb_b966_f40f2432773flevel0_row0\" class=\"row_heading level0 row0\" >4892</th>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow0_col0\" class=\"data row0 col0\" >NVAX</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow0_col1\" class=\"data row0 col1\" >Novavax, Inc. - Common Stock</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow0_col2\" class=\"data row0 col2\" >3.980000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow0_col3\" class=\"data row0 col3\" >13.580000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow0_col4\" class=\"data row0 col4\" >83.349998</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow0_col5\" class=\"data row0 col5\" >111.220001</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow0_col6\" class=\"data row0 col6\" >0</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow0_col7\" class=\"data row0 col7\" >241%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow0_col8\" class=\"data row0 col8\" >1994%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow0_col9\" class=\"data row0 col9\" >2694%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e1c1174c_11af_11eb_b966_f40f2432773flevel0_row1\" class=\"row_heading level0 row1\" >7276</th>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow1_col0\" class=\"data row1 col0\" >VXRT</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow1_col1\" class=\"data row1 col1\" >Vaxart, Inc. - Common Stock</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow1_col2\" class=\"data row1 col2\" >0.350000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow1_col3\" class=\"data row1 col3\" >1.770000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow1_col4\" class=\"data row1 col4\" >8.850000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow1_col5\" class=\"data row1 col5\" >7.290000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow1_col6\" class=\"data row1 col6\" >0</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow1_col7\" class=\"data row1 col7\" >406%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow1_col8\" class=\"data row1 col8\" >2429%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow1_col9\" class=\"data row1 col9\" >1983%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e1c1174c_11af_11eb_b966_f40f2432773flevel0_row2\" class=\"row_heading level0 row2\" >1357</th>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow2_col0\" class=\"data row2 col0\" >CODX</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow2_col1\" class=\"data row2 col1\" >Co-Diagnostics, Inc. - Common Stock</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow2_col2\" class=\"data row2 col2\" >0.895000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow2_col3\" class=\"data row2 col3\" >7.620000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow2_col4\" class=\"data row2 col4\" >19.350000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow2_col5\" class=\"data row2 col5\" >14.420000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow2_col6\" class=\"data row2 col6\" >0</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow2_col7\" class=\"data row2 col7\" >751%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow2_col8\" class=\"data row2 col8\" >2062%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow2_col9\" class=\"data row2 col9\" >1511%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e1c1174c_11af_11eb_b966_f40f2432773flevel0_row3\" class=\"row_heading level0 row3\" >7270</th>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow3_col0\" class=\"data row3 col0\" >VVPR</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow3_col1\" class=\"data row3 col1\" >VivoPower International PLC - Ordinary Shares</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow3_col2\" class=\"data row3 col2\" >1.050000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow3_col3\" class=\"data row3 col3\" >0.740000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow3_col4\" class=\"data row3 col4\" >1.320000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow3_col5\" class=\"data row3 col5\" >16.280001</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow3_col6\" class=\"data row3 col6\" >0</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow3_col7\" class=\"data row3 col7\" >-30%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow3_col8\" class=\"data row3 col8\" >26%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow3_col9\" class=\"data row3 col9\" >1450%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e1c1174c_11af_11eb_b966_f40f2432773flevel0_row4\" class=\"row_heading level0 row4\" >6774</th>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow4_col0\" class=\"data row4 col0\" >TRIL</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow4_col1\" class=\"data row4 col1\" >Trillium Therapeutics Inc. - Common Shares</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow4_col2\" class=\"data row4 col2\" >1.030000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow4_col3\" class=\"data row4 col3\" >4.040000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow4_col4\" class=\"data row4 col4\" >8.090000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow4_col5\" class=\"data row4 col5\" >15.370000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow4_col6\" class=\"data row4 col6\" >0</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow4_col7\" class=\"data row4 col7\" >292%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow4_col8\" class=\"data row4 col8\" >685%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow4_col9\" class=\"data row4 col9\" >1392%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e1c1174c_11af_11eb_b966_f40f2432773flevel0_row5\" class=\"row_heading level0 row5\" >1432</th>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow5_col0\" class=\"data row5 col0\" >CRDF</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow5_col1\" class=\"data row5 col1\" >Cardiff Oncology, Inc. - Common Stock</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow5_col2\" class=\"data row5 col2\" >1.240000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow5_col3\" class=\"data row5 col3\" >1.010000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow5_col4\" class=\"data row5 col4\" >5.010000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow5_col5\" class=\"data row5 col5\" >17.250000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow5_col6\" class=\"data row5 col6\" >0</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow5_col7\" class=\"data row5 col7\" >-19%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow5_col8\" class=\"data row5 col8\" >304%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow5_col9\" class=\"data row5 col9\" >1291%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e1c1174c_11af_11eb_b966_f40f2432773flevel0_row6\" class=\"row_heading level0 row6\" >5222</th>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow6_col0\" class=\"data row6 col0\" >PEIX</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow6_col1\" class=\"data row6 col1\" >Pacific Ethanol, Inc. - Common Stock</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow6_col2\" class=\"data row6 col2\" >0.650000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow6_col3\" class=\"data row6 col3\" >0.260000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow6_col4\" class=\"data row6 col4\" >0.710000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow6_col5\" class=\"data row6 col5\" >8.830000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow6_col6\" class=\"data row6 col6\" >0</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow6_col7\" class=\"data row6 col7\" >-60%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow6_col8\" class=\"data row6 col8\" >9%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow6_col9\" class=\"data row6 col9\" >1258%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e1c1174c_11af_11eb_b966_f40f2432773flevel0_row7\" class=\"row_heading level0 row7\" >4765</th>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow7_col0\" class=\"data row7 col0\" >NLS</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow7_col1\" class=\"data row7 col1\" >Nautilus, Inc. Common Stock</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow7_col2\" class=\"data row7 col2\" >1.750000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow7_col3\" class=\"data row7 col3\" >2.610000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow7_col4\" class=\"data row7 col4\" >9.270000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow7_col5\" class=\"data row7 col5\" >22.100000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow7_col6\" class=\"data row7 col6\" >0</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow7_col7\" class=\"data row7 col7\" >49%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow7_col8\" class=\"data row7 col8\" >430%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow7_col9\" class=\"data row7 col9\" >1163%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e1c1174c_11af_11eb_b966_f40f2432773flevel0_row8\" class=\"row_heading level0 row8\" >5079</th>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow8_col0\" class=\"data row8 col0\" >OSTK</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow8_col1\" class=\"data row8 col1\" >Overstock.com, Inc. - Common Stock</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow8_col2\" class=\"data row8 col2\" >7.050000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow8_col3\" class=\"data row8 col3\" >4.990000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow8_col4\" class=\"data row8 col4\" >28.430000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow8_col5\" class=\"data row8 col5\" >83.230003</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow8_col6\" class=\"data row8 col6\" >0</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow8_col7\" class=\"data row8 col7\" >-29%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow8_col8\" class=\"data row8 col8\" >303%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow8_col9\" class=\"data row8 col9\" >1081%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e1c1174c_11af_11eb_b966_f40f2432773flevel0_row9\" class=\"row_heading level0 row9\" >2930</th>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow9_col0\" class=\"data row9 col0\" >GNPX</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow9_col1\" class=\"data row9 col1\" >Genprex, Inc. - Common Stock</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow9_col2\" class=\"data row9 col2\" >0.320000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow9_col3\" class=\"data row9 col3\" >2.420000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow9_col4\" class=\"data row9 col4\" >3.140000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow9_col5\" class=\"data row9 col5\" >3.750000</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow9_col6\" class=\"data row9 col6\" >0</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow9_col7\" class=\"data row9 col7\" >656%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow9_col8\" class=\"data row9 col8\" >881%</td>\n",
       "                        <td id=\"T_e1c1174c_11af_11eb_b966_f40f2432773frow9_col9\" class=\"data row9 col9\" >1072%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fe7ac0146a0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Find the Top 10 businesses that has most profit\n",
    "top_10_business_df = renamed_df_sorted.head(10)\n",
    "top_10_business_df.style.format({\"Mar 2020 % Change\": \"{:.0f}%\",\n",
    "                                 \"June 2020 % Change\": \"{:.0f}%\",\n",
    "                                 \"Oct 2020 % Change\": \"{:.0f}%\"})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bottom Performing Businesses (By October 2020 Profit % Change)\n",
    "\n",
    "* Sort and display the ten worst-performing businesses by October 2020 Profit % Change."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Name</th>\n",
       "      <th>Pre_COVID</th>\n",
       "      <th>Mar_2020</th>\n",
       "      <th>Jun_2020</th>\n",
       "      <th>Oct_2020</th>\n",
       "      <th>Pre COVID % Change</th>\n",
       "      <th>Mar 2020 % Change</th>\n",
       "      <th>June 2020 % Change</th>\n",
       "      <th>Oct 2020 % Change</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3044</th>\n",
       "      <td>GUSH</td>\n",
       "      <td>Direxion Daily S&amp;P Oil &amp; Gas Exp. &amp; Prod. Bull...</td>\n",
       "      <td>1462.000000</td>\n",
       "      <td>15.660</td>\n",
       "      <td>34.299999</td>\n",
       "      <td>24.170000</td>\n",
       "      <td>0</td>\n",
       "      <td>-98.928865</td>\n",
       "      <td>-97.653899</td>\n",
       "      <td>-98.346785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6396</th>\n",
       "      <td>SRRA</td>\n",
       "      <td>Sierra Oncology, Inc. - Common Stock</td>\n",
       "      <td>547.200012</td>\n",
       "      <td>9.820</td>\n",
       "      <td>12.100000</td>\n",
       "      <td>11.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>-98.205409</td>\n",
       "      <td>-97.788743</td>\n",
       "      <td>-97.852705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4823</th>\n",
       "      <td>NRGU</td>\n",
       "      <td>MicroSectors U.S. Big Oil Index 3X Leveraged ETN</td>\n",
       "      <td>47.147999</td>\n",
       "      <td>2.214</td>\n",
       "      <td>4.080000</td>\n",
       "      <td>1.660000</td>\n",
       "      <td>0</td>\n",
       "      <td>-95.304149</td>\n",
       "      <td>-91.346399</td>\n",
       "      <td>-96.479172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3756</th>\n",
       "      <td>JDST</td>\n",
       "      <td>Direxion Daily Junior Gold Miners Index Bear 2...</td>\n",
       "      <td>244.500000</td>\n",
       "      <td>67.750</td>\n",
       "      <td>16.980000</td>\n",
       "      <td>9.620000</td>\n",
       "      <td>0</td>\n",
       "      <td>-72.290389</td>\n",
       "      <td>-93.055215</td>\n",
       "      <td>-96.065440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4949</th>\n",
       "      <td>OAS</td>\n",
       "      <td>Oasis Petroleum Inc. - Common Stock</td>\n",
       "      <td>3.260000</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.160000</td>\n",
       "      <td>0</td>\n",
       "      <td>-89.263804</td>\n",
       "      <td>-76.993865</td>\n",
       "      <td>-95.092025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6774</th>\n",
       "      <td>TRIL</td>\n",
       "      <td>Trillium Therapeutics Inc. - Common Shares</td>\n",
       "      <td>1.030000</td>\n",
       "      <td>4.040</td>\n",
       "      <td>8.090000</td>\n",
       "      <td>15.370000</td>\n",
       "      <td>0</td>\n",
       "      <td>292.233017</td>\n",
       "      <td>685.436930</td>\n",
       "      <td>1392.233040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7270</th>\n",
       "      <td>VVPR</td>\n",
       "      <td>VivoPower International PLC - Ordinary Shares</td>\n",
       "      <td>1.050000</td>\n",
       "      <td>0.740</td>\n",
       "      <td>1.320000</td>\n",
       "      <td>16.280001</td>\n",
       "      <td>0</td>\n",
       "      <td>-29.523805</td>\n",
       "      <td>25.714296</td>\n",
       "      <td>1450.476326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1357</th>\n",
       "      <td>CODX</td>\n",
       "      <td>Co-Diagnostics, Inc. - Common Stock</td>\n",
       "      <td>0.895000</td>\n",
       "      <td>7.620</td>\n",
       "      <td>19.350000</td>\n",
       "      <td>14.420000</td>\n",
       "      <td>0</td>\n",
       "      <td>751.396653</td>\n",
       "      <td>2062.011262</td>\n",
       "      <td>1511.173227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7276</th>\n",
       "      <td>VXRT</td>\n",
       "      <td>Vaxart, Inc. - Common Stock</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>1.770</td>\n",
       "      <td>8.850000</td>\n",
       "      <td>7.290000</td>\n",
       "      <td>0</td>\n",
       "      <td>405.714289</td>\n",
       "      <td>2428.571581</td>\n",
       "      <td>1982.857167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4892</th>\n",
       "      <td>NVAX</td>\n",
       "      <td>Novavax, Inc. - Common Stock</td>\n",
       "      <td>3.980000</td>\n",
       "      <td>13.580</td>\n",
       "      <td>83.349998</td>\n",
       "      <td>111.220001</td>\n",
       "      <td>0</td>\n",
       "      <td>241.206027</td>\n",
       "      <td>1994.221057</td>\n",
       "      <td>2694.472379</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7608 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Symbol                                               Name    Pre_COVID  \\\n",
       "3044   GUSH  Direxion Daily S&P Oil & Gas Exp. & Prod. Bull...  1462.000000   \n",
       "6396   SRRA               Sierra Oncology, Inc. - Common Stock   547.200012   \n",
       "4823   NRGU   MicroSectors U.S. Big Oil Index 3X Leveraged ETN    47.147999   \n",
       "3756   JDST  Direxion Daily Junior Gold Miners Index Bear 2...   244.500000   \n",
       "4949    OAS                Oasis Petroleum Inc. - Common Stock     3.260000   \n",
       "...     ...                                                ...          ...   \n",
       "6774   TRIL         Trillium Therapeutics Inc. - Common Shares     1.030000   \n",
       "7270   VVPR      VivoPower International PLC - Ordinary Shares     1.050000   \n",
       "1357   CODX                Co-Diagnostics, Inc. - Common Stock     0.895000   \n",
       "7276   VXRT                        Vaxart, Inc. - Common Stock     0.350000   \n",
       "4892   NVAX                       Novavax, Inc. - Common Stock     3.980000   \n",
       "\n",
       "      Mar_2020   Jun_2020    Oct_2020  Pre COVID % Change  Mar 2020 % Change  \\\n",
       "3044    15.660  34.299999   24.170000                   0         -98.928865   \n",
       "6396     9.820  12.100000   11.750000                   0         -98.205409   \n",
       "4823     2.214   4.080000    1.660000                   0         -95.304149   \n",
       "3756    67.750  16.980000    9.620000                   0         -72.290389   \n",
       "4949     0.350   0.750000    0.160000                   0         -89.263804   \n",
       "...        ...        ...         ...                 ...                ...   \n",
       "6774     4.040   8.090000   15.370000                   0         292.233017   \n",
       "7270     0.740   1.320000   16.280001                   0         -29.523805   \n",
       "1357     7.620  19.350000   14.420000                   0         751.396653   \n",
       "7276     1.770   8.850000    7.290000                   0         405.714289   \n",
       "4892    13.580  83.349998  111.220001                   0         241.206027   \n",
       "\n",
       "      June 2020 % Change  Oct 2020 % Change  \n",
       "3044          -97.653899         -98.346785  \n",
       "6396          -97.788743         -97.852705  \n",
       "4823          -91.346399         -96.479172  \n",
       "3756          -93.055215         -96.065440  \n",
       "4949          -76.993865         -95.092025  \n",
       "...                  ...                ...  \n",
       "6774          685.436930        1392.233040  \n",
       "7270           25.714296        1450.476326  \n",
       "1357         2062.011262        1511.173227  \n",
       "7276         2428.571581        1982.857167  \n",
       "4892         1994.221057        2694.472379  \n",
       "\n",
       "[7608 rows x 10 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sorting the percent change in the value of the stocks from lowest to highest: \n",
    "renamed_df_sorted = renamed_df.sort_values(\"Oct 2020 % Change\")\n",
    "renamed_df_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_e20a2b26_11af_11eb_b570_f40f2432773f\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Symbol</th>        <th class=\"col_heading level0 col1\" >Name</th>        <th class=\"col_heading level0 col2\" >Pre_COVID</th>        <th class=\"col_heading level0 col3\" >Mar_2020</th>        <th class=\"col_heading level0 col4\" >Jun_2020</th>        <th class=\"col_heading level0 col5\" >Oct_2020</th>        <th class=\"col_heading level0 col6\" >Pre COVID % Change</th>        <th class=\"col_heading level0 col7\" >Mar 2020 % Change</th>        <th class=\"col_heading level0 col8\" >June 2020 % Change</th>        <th class=\"col_heading level0 col9\" >Oct 2020 % Change</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_e20a2b26_11af_11eb_b570_f40f2432773flevel0_row0\" class=\"row_heading level0 row0\" >3044</th>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow0_col0\" class=\"data row0 col0\" >GUSH</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow0_col1\" class=\"data row0 col1\" >Direxion Daily S&P Oil & Gas Exp. & Prod. Bull 2X Shares</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow0_col2\" class=\"data row0 col2\" >1462.000000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow0_col3\" class=\"data row0 col3\" >15.660000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow0_col4\" class=\"data row0 col4\" >34.299999</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow0_col5\" class=\"data row0 col5\" >24.170000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow0_col6\" class=\"data row0 col6\" >0</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow0_col7\" class=\"data row0 col7\" >-99%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow0_col8\" class=\"data row0 col8\" >-98%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow0_col9\" class=\"data row0 col9\" >-98%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e20a2b26_11af_11eb_b570_f40f2432773flevel0_row1\" class=\"row_heading level0 row1\" >6396</th>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow1_col0\" class=\"data row1 col0\" >SRRA</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow1_col1\" class=\"data row1 col1\" >Sierra Oncology, Inc. - Common Stock</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow1_col2\" class=\"data row1 col2\" >547.200012</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow1_col3\" class=\"data row1 col3\" >9.820000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow1_col4\" class=\"data row1 col4\" >12.100000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow1_col5\" class=\"data row1 col5\" >11.750000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow1_col6\" class=\"data row1 col6\" >0</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow1_col7\" class=\"data row1 col7\" >-98%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow1_col8\" class=\"data row1 col8\" >-98%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow1_col9\" class=\"data row1 col9\" >-98%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e20a2b26_11af_11eb_b570_f40f2432773flevel0_row2\" class=\"row_heading level0 row2\" >4823</th>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow2_col0\" class=\"data row2 col0\" >NRGU</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow2_col1\" class=\"data row2 col1\" >MicroSectors U.S. Big Oil Index 3X Leveraged ETN</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow2_col2\" class=\"data row2 col2\" >47.147999</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow2_col3\" class=\"data row2 col3\" >2.214000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow2_col4\" class=\"data row2 col4\" >4.080000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow2_col5\" class=\"data row2 col5\" >1.660000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow2_col6\" class=\"data row2 col6\" >0</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow2_col7\" class=\"data row2 col7\" >-95%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow2_col8\" class=\"data row2 col8\" >-91%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow2_col9\" class=\"data row2 col9\" >-96%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e20a2b26_11af_11eb_b570_f40f2432773flevel0_row3\" class=\"row_heading level0 row3\" >3756</th>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow3_col0\" class=\"data row3 col0\" >JDST</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow3_col1\" class=\"data row3 col1\" >Direxion Daily Junior Gold Miners Index Bear 2X Shares</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow3_col2\" class=\"data row3 col2\" >244.500000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow3_col3\" class=\"data row3 col3\" >67.750000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow3_col4\" class=\"data row3 col4\" >16.980000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow3_col5\" class=\"data row3 col5\" >9.620000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow3_col6\" class=\"data row3 col6\" >0</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow3_col7\" class=\"data row3 col7\" >-72%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow3_col8\" class=\"data row3 col8\" >-93%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow3_col9\" class=\"data row3 col9\" >-96%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e20a2b26_11af_11eb_b570_f40f2432773flevel0_row4\" class=\"row_heading level0 row4\" >4949</th>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow4_col0\" class=\"data row4 col0\" >OAS</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow4_col1\" class=\"data row4 col1\" >Oasis Petroleum Inc. - Common Stock</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow4_col2\" class=\"data row4 col2\" >3.260000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow4_col3\" class=\"data row4 col3\" >0.350000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow4_col4\" class=\"data row4 col4\" >0.750000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow4_col5\" class=\"data row4 col5\" >0.160000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow4_col6\" class=\"data row4 col6\" >0</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow4_col7\" class=\"data row4 col7\" >-89%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow4_col8\" class=\"data row4 col8\" >-77%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow4_col9\" class=\"data row4 col9\" >-95%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e20a2b26_11af_11eb_b570_f40f2432773flevel0_row5\" class=\"row_heading level0 row5\" >877</th>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow5_col0\" class=\"data row5 col0\" >BRZU</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow5_col1\" class=\"data row5 col1\" >Direxion Daily Brazil Bull 2X Shares</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow5_col2\" class=\"data row5 col2\" >1358.000000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow5_col3\" class=\"data row5 col3\" >53.200001</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow5_col4\" class=\"data row5 col4\" >74.379997</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow5_col5\" class=\"data row5 col5\" >72.239998</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow5_col6\" class=\"data row5 col6\" >0</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow5_col7\" class=\"data row5 col7\" >-96%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow5_col8\" class=\"data row5 col8\" >-95%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow5_col9\" class=\"data row5 col9\" >-95%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e20a2b26_11af_11eb_b570_f40f2432773flevel0_row6\" class=\"row_heading level0 row6\" >177</th>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow6_col0\" class=\"data row6 col0\" >AHT</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow6_col1\" class=\"data row6 col1\" >Ashford Hospitality Trust Inc Common Stock</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow6_col2\" class=\"data row6 col2\" >27.900000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow6_col3\" class=\"data row6 col3\" >7.400000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow6_col4\" class=\"data row6 col4\" >7.200000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow6_col5\" class=\"data row6 col5\" >1.560000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow6_col6\" class=\"data row6 col6\" >0</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow6_col7\" class=\"data row6 col7\" >-73%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow6_col8\" class=\"data row6 col8\" >-74%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow6_col9\" class=\"data row6 col9\" >-94%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e20a2b26_11af_11eb_b570_f40f2432773flevel0_row7\" class=\"row_heading level0 row7\" >2142</th>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow7_col0\" class=\"data row7 col0\" >ERX</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow7_col1\" class=\"data row7 col1\" >Direxion Energy Bull 2X Shares</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow7_col2\" class=\"data row7 col2\" >175.000000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow7_col3\" class=\"data row7 col3\" >9.740000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow7_col4\" class=\"data row7 col4\" >15.090000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow7_col5\" class=\"data row7 col5\" >9.820000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow7_col6\" class=\"data row7 col6\" >0</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow7_col7\" class=\"data row7 col7\" >-94%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow7_col8\" class=\"data row7 col8\" >-91%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow7_col9\" class=\"data row7 col9\" >-94%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e20a2b26_11af_11eb_b570_f40f2432773flevel0_row8\" class=\"row_heading level0 row8\" >6907</th>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow8_col0\" class=\"data row8 col0\" >UCO</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow8_col1\" class=\"data row8 col1\" >ProShares Ultra Bloomberg Crude Oil</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow8_col2\" class=\"data row8 col2\" >511.500000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow8_col3\" class=\"data row8 col3\" >39.750000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow8_col4\" class=\"data row8 col4\" >28.680000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow8_col5\" class=\"data row8 col5\" >28.740000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow8_col6\" class=\"data row8 col6\" >0</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow8_col7\" class=\"data row8 col7\" >-92%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow8_col8\" class=\"data row8 col8\" >-94%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow8_col9\" class=\"data row8 col9\" >-94%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_e20a2b26_11af_11eb_b570_f40f2432773flevel0_row9\" class=\"row_heading level0 row9\" >6109</th>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow9_col0\" class=\"data row9 col0\" >SHIP</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow9_col1\" class=\"data row9 col1\" >Seanergy Maritime Holdings Corp - Common Stock</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow9_col2\" class=\"data row9 col2\" >8.800000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow9_col3\" class=\"data row9 col3\" >2.400000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow9_col4\" class=\"data row9 col4\" >2.140000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow9_col5\" class=\"data row9 col5\" >0.510000</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow9_col6\" class=\"data row9 col6\" >0</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow9_col7\" class=\"data row9 col7\" >-73%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow9_col8\" class=\"data row9 col8\" >-76%</td>\n",
       "                        <td id=\"T_e20a2b26_11af_11eb_b570_f40f2432773frow9_col9\" class=\"data row9 col9\" >-94%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fe7b109bc18>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Find the Top 10 businesses that has least profit\n",
    "bottom_10_business_df = renamed_df_sorted.head(10)\n",
    "bottom_10_business_df.style.format({\"Mar 2020 % Change\": \"{:.0f}%\",\n",
    "                                    \"June 2020 % Change\": \"{:.0f}%\",\n",
    "                                    \"Oct 2020 % Change\": \"{:.0f}%\"})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualization\n",
    "\n",
    "### Plot the Top 10 Businesses\n",
    "\n",
    "#### Bar Plot\n",
    "* Create a dataframe to hold only the columns needed for plotting.\n",
    "* Create a bar plot for top 10 businesses with Oct 2020 Profit % Change.\n",
    "\n",
    "#### Line Plot\n",
    "* Create and transform the dataframe as required for generating line plot.\n",
    "* Create a line plot for top 10 businesses with Pre COVID, Mar 2020, June 2020 and Oct 2020 Profit % Changes.\n",
    "\n",
    "### Plot the Bottom 10 Businesses\n",
    "\n",
    "#### Bar Plot\n",
    "* Create a dataframe to hold only the columns needed for plotting.\n",
    "* Create a bar plot for bottom 10 businesses with Oct 2020 Profit % Change.\n",
    "\n",
    "#### Line Plot\n",
    "* Create and transform the dataframe as required for generating line plot.\n",
    "* Create a line plot for bottom 10 businesses with Pre COVID, Mar 2020, June 2020 and Oct 2020 Profit % Changes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>Symbol</th>\n",
       "      <th>Name</th>\n",
       "      <th>Pre COVID</th>\n",
       "      <th>Mar 2020</th>\n",
       "      <th>June 2020</th>\n",
       "      <th>Oct 2020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4892</th>\n",
       "      <td>NVAX</td>\n",
       "      <td>Novavax, Inc. - Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>241.206027</td>\n",
       "      <td>1994.221057</td>\n",
       "      <td>2694.472379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7276</th>\n",
       "      <td>VXRT</td>\n",
       "      <td>Vaxart, Inc. - Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>405.714289</td>\n",
       "      <td>2428.571581</td>\n",
       "      <td>1982.857167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1357</th>\n",
       "      <td>CODX</td>\n",
       "      <td>Co-Diagnostics, Inc. - Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>751.396653</td>\n",
       "      <td>2062.011262</td>\n",
       "      <td>1511.173227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7270</th>\n",
       "      <td>VVPR</td>\n",
       "      <td>VivoPower International PLC - Ordinary Shares</td>\n",
       "      <td>0</td>\n",
       "      <td>-29.523805</td>\n",
       "      <td>25.714296</td>\n",
       "      <td>1450.476326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6774</th>\n",
       "      <td>TRIL</td>\n",
       "      <td>Trillium Therapeutics Inc. - Common Shares</td>\n",
       "      <td>0</td>\n",
       "      <td>292.233017</td>\n",
       "      <td>685.436930</td>\n",
       "      <td>1392.233040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1432</th>\n",
       "      <td>CRDF</td>\n",
       "      <td>Cardiff Oncology, Inc. - Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>-18.548388</td>\n",
       "      <td>304.032273</td>\n",
       "      <td>1291.129022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5222</th>\n",
       "      <td>PEIX</td>\n",
       "      <td>Pacific Ethanol, Inc. - Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>-60.000000</td>\n",
       "      <td>9.230770</td>\n",
       "      <td>1258.461577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4765</th>\n",
       "      <td>NLS</td>\n",
       "      <td>Nautilus, Inc. Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>49.142851</td>\n",
       "      <td>429.714312</td>\n",
       "      <td>1162.857165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5079</th>\n",
       "      <td>OSTK</td>\n",
       "      <td>Overstock.com, Inc. - Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>-29.219863</td>\n",
       "      <td>303.262405</td>\n",
       "      <td>1080.567392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2930</th>\n",
       "      <td>GNPX</td>\n",
       "      <td>Genprex, Inc. - Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>656.250041</td>\n",
       "      <td>881.250055</td>\n",
       "      <td>1071.875026</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Symbol                                           Name  Pre COVID  \\\n",
       "4892   NVAX                   Novavax, Inc. - Common Stock          0   \n",
       "7276   VXRT                    Vaxart, Inc. - Common Stock          0   \n",
       "1357   CODX            Co-Diagnostics, Inc. - Common Stock          0   \n",
       "7270   VVPR  VivoPower International PLC - Ordinary Shares          0   \n",
       "6774   TRIL     Trillium Therapeutics Inc. - Common Shares          0   \n",
       "1432   CRDF          Cardiff Oncology, Inc. - Common Stock          0   \n",
       "5222   PEIX           Pacific Ethanol, Inc. - Common Stock          0   \n",
       "4765    NLS                    Nautilus, Inc. Common Stock          0   \n",
       "5079   OSTK             Overstock.com, Inc. - Common Stock          0   \n",
       "2930   GNPX                   Genprex, Inc. - Common Stock          0   \n",
       "\n",
       "        Mar 2020    June 2020     Oct 2020  \n",
       "4892  241.206027  1994.221057  2694.472379  \n",
       "7276  405.714289  2428.571581  1982.857167  \n",
       "1357  751.396653  2062.011262  1511.173227  \n",
       "7270  -29.523805    25.714296  1450.476326  \n",
       "6774  292.233017   685.436930  1392.233040  \n",
       "1432  -18.548388   304.032273  1291.129022  \n",
       "5222  -60.000000     9.230770  1258.461577  \n",
       "4765   49.142851   429.714312  1162.857165  \n",
       "5079  -29.219863   303.262405  1080.567392  \n",
       "2930  656.250041   881.250055  1071.875026  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a dataframe to hold only columns needed for plotting\n",
    "top_10_df = top_10_business_df[[\"Symbol\",\n",
    "                                \"Name\",\n",
    "                                \"Pre COVID % Change\", \n",
    "                                \"Mar 2020 % Change\",\n",
    "                                \"June 2020 % Change\",\n",
    "                                \"Oct 2020 % Change\"]]\n",
    "\n",
    "# Rename columns\n",
    "top_10_df = top_10_df.rename(columns={\n",
    "    \"Pre COVID % Change\" : \"Pre COVID\",\n",
    "    \"Mar 2020 % Change\" : \"Mar 2020\",\n",
    "    \"June 2020 % Change\" : \"June 2020\",\n",
    "    \"Oct 2020 % Change\" : \"Oct 2020\"\n",
    "})\n",
    "\n",
    "top_10_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set x and y axis\n",
    "x_axis = top_10_df[\"Name\"]\n",
    "y_axis = top_10_df[\"Oct 2020\"]\n",
    "\n",
    "# Generate bar plot\n",
    "plt.bar(x_axis, y_axis, color='g', alpha=0.5, align=\"center\")\n",
    "\n",
    "# Set the orientation of the x axis labels\n",
    "plt.xticks(rotation=\"vertical\")\n",
    "\n",
    "# Set the title, x axis and y axis labels\n",
    "plt.xlabel(\"Business Names\")\n",
    "plt.ylabel(\"Profit % in Oct 2020\")\n",
    "plt.title(\"Profit Percentage of Top 10 Businesses as of Oct 2020\")\n",
    "\n",
    "# Save and display the bar plot\n",
    "top_bar_file_path = os.path.join(\"Images\",\"top_10_business_barplot.png\")\n",
    "plt.savefig(top_bar_file_path)\n",
    "plt.show()"
   ]
  },
  {
   "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>Name</th>\n",
       "      <th>index</th>\n",
       "      <th>Novavax, Inc. - Common Stock</th>\n",
       "      <th>Vaxart, Inc. - Common Stock</th>\n",
       "      <th>Co-Diagnostics, Inc. - Common Stock</th>\n",
       "      <th>VivoPower International PLC - Ordinary Shares</th>\n",
       "      <th>Trillium Therapeutics Inc. - Common Shares</th>\n",
       "      <th>Cardiff Oncology, Inc. - Common Stock</th>\n",
       "      <th>Pacific Ethanol, Inc. - Common Stock</th>\n",
       "      <th>Nautilus, Inc. Common Stock</th>\n",
       "      <th>Overstock.com, Inc. - Common Stock</th>\n",
       "      <th>Genprex, Inc. - Common Stock</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Pre COVID</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mar 2020</td>\n",
       "      <td>241.206027</td>\n",
       "      <td>405.714289</td>\n",
       "      <td>751.396653</td>\n",
       "      <td>-29.523805</td>\n",
       "      <td>292.233017</td>\n",
       "      <td>-18.548388</td>\n",
       "      <td>-60.000000</td>\n",
       "      <td>49.142851</td>\n",
       "      <td>-29.219863</td>\n",
       "      <td>656.250041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>June 2020</td>\n",
       "      <td>1994.221057</td>\n",
       "      <td>2428.571581</td>\n",
       "      <td>2062.011262</td>\n",
       "      <td>25.714296</td>\n",
       "      <td>685.436930</td>\n",
       "      <td>304.032273</td>\n",
       "      <td>9.230770</td>\n",
       "      <td>429.714312</td>\n",
       "      <td>303.262405</td>\n",
       "      <td>881.250055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Oct 2020</td>\n",
       "      <td>2694.472379</td>\n",
       "      <td>1982.857167</td>\n",
       "      <td>1511.173227</td>\n",
       "      <td>1450.476326</td>\n",
       "      <td>1392.233040</td>\n",
       "      <td>1291.129022</td>\n",
       "      <td>1258.461577</td>\n",
       "      <td>1162.857165</td>\n",
       "      <td>1080.567392</td>\n",
       "      <td>1071.875026</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Name      index  Novavax, Inc. - Common Stock  Vaxart, Inc. - Common Stock  \\\n",
       "0     Pre COVID                      0.000000                     0.000000   \n",
       "1      Mar 2020                    241.206027                   405.714289   \n",
       "2     June 2020                   1994.221057                  2428.571581   \n",
       "3      Oct 2020                   2694.472379                  1982.857167   \n",
       "\n",
       "Name  Co-Diagnostics, Inc. - Common Stock  \\\n",
       "0                                0.000000   \n",
       "1                              751.396653   \n",
       "2                             2062.011262   \n",
       "3                             1511.173227   \n",
       "\n",
       "Name  VivoPower International PLC - Ordinary Shares  \\\n",
       "0                                          0.000000   \n",
       "1                                        -29.523805   \n",
       "2                                         25.714296   \n",
       "3                                       1450.476326   \n",
       "\n",
       "Name  Trillium Therapeutics Inc. - Common Shares  \\\n",
       "0                                       0.000000   \n",
       "1                                     292.233017   \n",
       "2                                     685.436930   \n",
       "3                                    1392.233040   \n",
       "\n",
       "Name  Cardiff Oncology, Inc. - Common Stock  \\\n",
       "0                                  0.000000   \n",
       "1                                -18.548388   \n",
       "2                                304.032273   \n",
       "3                               1291.129022   \n",
       "\n",
       "Name  Pacific Ethanol, Inc. - Common Stock  Nautilus, Inc. Common Stock  \\\n",
       "0                                 0.000000                     0.000000   \n",
       "1                               -60.000000                    49.142851   \n",
       "2                                 9.230770                   429.714312   \n",
       "3                              1258.461577                  1162.857165   \n",
       "\n",
       "Name  Overstock.com, Inc. - Common Stock  Genprex, Inc. - Common Stock  \n",
       "0                               0.000000                      0.000000  \n",
       "1                             -29.219863                    656.250041  \n",
       "2                             303.262405                    881.250055  \n",
       "3                            1080.567392                   1071.875026  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a dataframe as required for generating line plot\n",
    "del top_10_df[\"Symbol\"]\n",
    "top_10_df = top_10_df.set_index(\"Name\")\n",
    "top_10_t_df = top_10_df.transpose()\n",
    "top_10_t_df = top_10_t_df.reset_index()\n",
    "top_10_t_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set plot size\n",
    "plt.figure(figsize=(15,8))\n",
    "\n",
    "# Generate line plot\n",
    "for column_name in top_10_t_df.columns:\n",
    "    if column_name != \"index\":\n",
    "        plt.plot(top_10_t_df[\"index\"], \n",
    "             top_10_t_df[column_name], \n",
    "             marker = \"o\", \n",
    "             markersize=10, \n",
    "             label=column_name)\n",
    "\n",
    "\n",
    "# Draw a horizontal line with 0.25 transparency\n",
    "plt.hlines(0, 0, 3, alpha=0.25)\n",
    "\n",
    "# Adds a legend and sets its location to the lower right\n",
    "plt.legend(loc=\"best\")\n",
    "\n",
    "# Set title, x and y labels \n",
    "plt.xlabel(\"Timeframe\")\n",
    "plt.ylabel(\"Profit/Loss % Change\")\n",
    "plt.title(\"Profit/Loss Percentage Changes of Top 10 Businesses during Pandemic\")\n",
    "\n",
    "plt.ylim(-500,3000)\n",
    "\n",
    "# Add in a grid for the chart\n",
    "plt.grid()\n",
    "\n",
    "# Save and Display the line plot\n",
    "plt.tight_layout()\n",
    "top_line_file_path = os.path.join(\"Images\",\"top_10_business_lineplot.png\")\n",
    "plt.savefig(top_line_file_path)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>Symbol</th>\n",
       "      <th>Name</th>\n",
       "      <th>Pre COVID</th>\n",
       "      <th>Mar 2020</th>\n",
       "      <th>June 2020</th>\n",
       "      <th>Oct 2020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3044</th>\n",
       "      <td>GUSH</td>\n",
       "      <td>Direxion Daily S&amp;P Oil &amp; Gas Exp. &amp; Prod. Bull...</td>\n",
       "      <td>0</td>\n",
       "      <td>-98.928865</td>\n",
       "      <td>-97.653899</td>\n",
       "      <td>-98.346785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6396</th>\n",
       "      <td>SRRA</td>\n",
       "      <td>Sierra Oncology, Inc. - Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>-98.205409</td>\n",
       "      <td>-97.788743</td>\n",
       "      <td>-97.852705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4823</th>\n",
       "      <td>NRGU</td>\n",
       "      <td>MicroSectors U.S. Big Oil Index 3X Leveraged ETN</td>\n",
       "      <td>0</td>\n",
       "      <td>-95.304149</td>\n",
       "      <td>-91.346399</td>\n",
       "      <td>-96.479172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3756</th>\n",
       "      <td>JDST</td>\n",
       "      <td>Direxion Daily Junior Gold Miners Index Bear 2...</td>\n",
       "      <td>0</td>\n",
       "      <td>-72.290389</td>\n",
       "      <td>-93.055215</td>\n",
       "      <td>-96.065440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4949</th>\n",
       "      <td>OAS</td>\n",
       "      <td>Oasis Petroleum Inc. - Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>-89.263804</td>\n",
       "      <td>-76.993865</td>\n",
       "      <td>-95.092025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>BRZU</td>\n",
       "      <td>Direxion Daily Brazil Bull 2X Shares</td>\n",
       "      <td>0</td>\n",
       "      <td>-96.082474</td>\n",
       "      <td>-94.522828</td>\n",
       "      <td>-94.680413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>AHT</td>\n",
       "      <td>Ashford Hospitality Trust Inc Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>-73.476702</td>\n",
       "      <td>-74.193549</td>\n",
       "      <td>-94.408602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2142</th>\n",
       "      <td>ERX</td>\n",
       "      <td>Direxion Energy Bull 2X Shares</td>\n",
       "      <td>0</td>\n",
       "      <td>-94.434286</td>\n",
       "      <td>-91.377143</td>\n",
       "      <td>-94.388572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6907</th>\n",
       "      <td>UCO</td>\n",
       "      <td>ProShares Ultra Bloomberg Crude Oil</td>\n",
       "      <td>0</td>\n",
       "      <td>-92.228739</td>\n",
       "      <td>-94.392962</td>\n",
       "      <td>-94.381232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6109</th>\n",
       "      <td>SHIP</td>\n",
       "      <td>Seanergy Maritime Holdings Corp - Common Stock</td>\n",
       "      <td>0</td>\n",
       "      <td>-72.727272</td>\n",
       "      <td>-75.681818</td>\n",
       "      <td>-94.204546</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Symbol                                               Name  Pre COVID  \\\n",
       "3044   GUSH  Direxion Daily S&P Oil & Gas Exp. & Prod. Bull...          0   \n",
       "6396   SRRA               Sierra Oncology, Inc. - Common Stock          0   \n",
       "4823   NRGU   MicroSectors U.S. Big Oil Index 3X Leveraged ETN          0   \n",
       "3756   JDST  Direxion Daily Junior Gold Miners Index Bear 2...          0   \n",
       "4949    OAS                Oasis Petroleum Inc. - Common Stock          0   \n",
       "877    BRZU               Direxion Daily Brazil Bull 2X Shares          0   \n",
       "177     AHT         Ashford Hospitality Trust Inc Common Stock          0   \n",
       "2142    ERX                     Direxion Energy Bull 2X Shares          0   \n",
       "6907    UCO                ProShares Ultra Bloomberg Crude Oil          0   \n",
       "6109   SHIP     Seanergy Maritime Holdings Corp - Common Stock          0   \n",
       "\n",
       "       Mar 2020  June 2020   Oct 2020  \n",
       "3044 -98.928865 -97.653899 -98.346785  \n",
       "6396 -98.205409 -97.788743 -97.852705  \n",
       "4823 -95.304149 -91.346399 -96.479172  \n",
       "3756 -72.290389 -93.055215 -96.065440  \n",
       "4949 -89.263804 -76.993865 -95.092025  \n",
       "877  -96.082474 -94.522828 -94.680413  \n",
       "177  -73.476702 -74.193549 -94.408602  \n",
       "2142 -94.434286 -91.377143 -94.388572  \n",
       "6907 -92.228739 -94.392962 -94.381232  \n",
       "6109 -72.727272 -75.681818 -94.204546  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating the dataframe to hold the necessary columns needed for plotting:\n",
    "bottom_10_df = bottom_10_business_df[[\"Symbol\",\n",
    "                                      \"Name\",\n",
    "                                      \"Pre COVID % Change\", \n",
    "                                      \"Mar 2020 % Change\",\n",
    "                                      \"June 2020 % Change\",\n",
    "                                      \"Oct 2020 % Change\"]]\n",
    "\n",
    "# Rename columns for plotting:\n",
    "bottom_10_df = bottom_10_df.rename(columns={\n",
    "    \"Pre COVID % Change\" : \"Pre COVID\", \n",
    "    \"Mar 2020 % Change\" : \"Mar 2020\", \n",
    "    \"June 2020 % Change\" : \"June 2020\", \n",
    "    \"Oct 2020 % Change\" : \"Oct 2020\"\n",
    "})\n",
    "\n",
    "bottom_10_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "\n",
    "# Set x and y axis\n",
    "x_axis = bottom_10_df[\"Name\"]\n",
    "y_axis = bottom_10_df[\"Oct 2020\"]\n",
    "\n",
    "# Generate bar plot\n",
    "plt.bar(x_axis, y_axis, color='c', alpha=0.5, align=\"center\")\n",
    "\n",
    "# Set the orientation of the x axis labels\n",
    "plt.xticks(rotation=\"vertical\")\n",
    "\n",
    "# Set the title, x axis and y axis labels\n",
    "plt.xlabel(\"Business Names\")\n",
    "plt.ylabel(\"Loss % in Oct 2020\")\n",
    "plt.title(\"Loss Percentage of Bottom 10 Businesses as of Oct 2020\")\n",
    "\n",
    "# Save and display the bar plot\n",
    "top_bar_file_path = os.path.join(\"Images\",\"bottom_10_business_barplot.png\")\n",
    "plt.savefig(top_bar_file_path)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>Name</th>\n",
       "      <th>index</th>\n",
       "      <th>Direxion Daily S&amp;P Oil &amp; Gas Exp. &amp; Prod. Bull 2X Shares</th>\n",
       "      <th>Sierra Oncology, Inc. - Common Stock</th>\n",
       "      <th>MicroSectors U.S. Big Oil Index 3X Leveraged ETN</th>\n",
       "      <th>Direxion Daily Junior Gold Miners Index Bear 2X Shares</th>\n",
       "      <th>Oasis Petroleum Inc. - Common Stock</th>\n",
       "      <th>Direxion Daily Brazil Bull 2X Shares</th>\n",
       "      <th>Ashford Hospitality Trust Inc Common Stock</th>\n",
       "      <th>Direxion Energy Bull 2X Shares</th>\n",
       "      <th>ProShares Ultra Bloomberg Crude Oil</th>\n",
       "      <th>Seanergy Maritime Holdings Corp - Common Stock</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Pre COVID</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mar 2020</td>\n",
       "      <td>-98.928865</td>\n",
       "      <td>-98.205409</td>\n",
       "      <td>-95.304149</td>\n",
       "      <td>-72.290389</td>\n",
       "      <td>-89.263804</td>\n",
       "      <td>-96.082474</td>\n",
       "      <td>-73.476702</td>\n",
       "      <td>-94.434286</td>\n",
       "      <td>-92.228739</td>\n",
       "      <td>-72.727272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>June 2020</td>\n",
       "      <td>-97.653899</td>\n",
       "      <td>-97.788743</td>\n",
       "      <td>-91.346399</td>\n",
       "      <td>-93.055215</td>\n",
       "      <td>-76.993865</td>\n",
       "      <td>-94.522828</td>\n",
       "      <td>-74.193549</td>\n",
       "      <td>-91.377143</td>\n",
       "      <td>-94.392962</td>\n",
       "      <td>-75.681818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Oct 2020</td>\n",
       "      <td>-98.346785</td>\n",
       "      <td>-97.852705</td>\n",
       "      <td>-96.479172</td>\n",
       "      <td>-96.065440</td>\n",
       "      <td>-95.092025</td>\n",
       "      <td>-94.680413</td>\n",
       "      <td>-94.408602</td>\n",
       "      <td>-94.388572</td>\n",
       "      <td>-94.381232</td>\n",
       "      <td>-94.204546</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Name      index  Direxion Daily S&P Oil & Gas Exp. & Prod. Bull 2X Shares  \\\n",
       "0     Pre COVID                                           0.000000          \n",
       "1      Mar 2020                                         -98.928865          \n",
       "2     June 2020                                         -97.653899          \n",
       "3      Oct 2020                                         -98.346785          \n",
       "\n",
       "Name  Sierra Oncology, Inc. - Common Stock  \\\n",
       "0                                 0.000000   \n",
       "1                               -98.205409   \n",
       "2                               -97.788743   \n",
       "3                               -97.852705   \n",
       "\n",
       "Name  MicroSectors U.S. Big Oil Index 3X Leveraged ETN  \\\n",
       "0                                             0.000000   \n",
       "1                                           -95.304149   \n",
       "2                                           -91.346399   \n",
       "3                                           -96.479172   \n",
       "\n",
       "Name  Direxion Daily Junior Gold Miners Index Bear 2X Shares  \\\n",
       "0                                              0.000000        \n",
       "1                                            -72.290389        \n",
       "2                                            -93.055215        \n",
       "3                                            -96.065440        \n",
       "\n",
       "Name  Oasis Petroleum Inc. - Common Stock  \\\n",
       "0                                0.000000   \n",
       "1                              -89.263804   \n",
       "2                              -76.993865   \n",
       "3                              -95.092025   \n",
       "\n",
       "Name  Direxion Daily Brazil Bull 2X Shares  \\\n",
       "0                                 0.000000   \n",
       "1                               -96.082474   \n",
       "2                               -94.522828   \n",
       "3                               -94.680413   \n",
       "\n",
       "Name  Ashford Hospitality Trust Inc Common Stock  \\\n",
       "0                                       0.000000   \n",
       "1                                     -73.476702   \n",
       "2                                     -74.193549   \n",
       "3                                     -94.408602   \n",
       "\n",
       "Name  Direxion Energy Bull 2X Shares  ProShares Ultra Bloomberg Crude Oil  \\\n",
       "0                           0.000000                             0.000000   \n",
       "1                         -94.434286                           -92.228739   \n",
       "2                         -91.377143                           -94.392962   \n",
       "3                         -94.388572                           -94.381232   \n",
       "\n",
       "Name  Seanergy Maritime Holdings Corp - Common Stock  \n",
       "0                                           0.000000  \n",
       "1                                         -72.727272  \n",
       "2                                         -75.681818  \n",
       "3                                         -94.204546  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating the required dataframe for genterating bottom 10 line plot:\n",
    "del bottom_10_df[\"Symbol\"]\n",
    "bottom_10_df = bottom_10_df.set_index(\"Name\")\n",
    "bottom_10_df = bottom_10_df.transpose()\n",
    "bottom_10_df = bottom_10_df.reset_index()\n",
    "bottom_10_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XZ0+0b8NvAQfQrsv3jP3mZ2xD6houj5/XzLatBVopitLUeJ2/a2zT3iepY2Z1VhTFyvhrIWM/pj6UrkAbSKigaGtavIs2KJGrcknfF6CtQ9LdeL5aYJz2ZEzfWtEWxVT4+/Oap88s2tSIe4q24KW18ThOiqJ4Go/xP0VRyhg/23eMeZIVRWmsKIpO0SKY7qFNhUhWteloW4BZiqIUUxTFTFGUqoqipE7X6pTmc/MX2rWeWZ3XAa0VRWlovKdNJP3fsQbgVUVRSiqK8hLaeifPyj5jnQYr2uKfr5F+ClduFQIKYxyMULTFdv1zk9E4zeNbtM9yEUVbE6RXmiRPe3/MTlb3ZCGEeO5kAEMIIZ4jVVW3oc3dXo/2rV5V0q8HkZ3taN/c/qloq/U7oYWiX3ws3ftoD+apP9tzOG4xtEGGv9BCkm+hfUMI2sNTtKJNsRiAtmZCXo1EC2vfbywnDC3yISuz0R44t6A9CC0BrFVtnQp/Y71j0B7qpqE9EOTGeGC5ooVXd0Z7rak1WpTIfjKG6fdAW4DzFtoil6FoD72oqnoJ7RWoo9AeRi6hRa1k+v9VVVVnoy2ENyZN+sFoUS3ZUlX1JNqbK/ahPZjr0KYV5NaTtsMM7WE7BriN9qA8KItjfIQ2UBIFHENbGDDHNzQ85o6iKHFobawHBBrn2z9CW1yxJdq5+gIIUlX1tDHfErR1Wu4oirLRuG0K2oDKHUVRhquqegbt2v3MWEYbtEU+H+Wxjlk5g/ZZq4A2jSKevyM+vkRbFPMYWuTMZuO27GTaF8Z9bxnrfwft3G5Mk6862ucrDu16+UJV1fC8NMT4oNwGbf2YP9D6azHawpIALYATxvp9CnQ1TgF7CW2Q4R5wCm1dntRBrCC0h/eTaPeZdfw93coTOGAs73vgLVVV/8ikXifQXie7Gu0e9hfagqWpvkJbeDQa7d6R5dtM8sp4nbRHmz5zB+1a+gHj5ygP5cSiLQa7Fq3+3Um/Jk1OBqNN8/gTbRAs5LGyn+b+mJ1M78nPoFwhhMgzJfspmEIIIV5UivZ6yNKqqr6X33X5L1C01zueVlV1XI6JX2D/lnYIkZ8URTkALFBVNSTHxEIIIZ4ZicAQQoiCK5o038CJZ8sYfl3VGPLeAi1SYWM+VyvP/i3tECI/KYrSSFGUl4xTSHoBzuR+cVUhhBDPSE4roucLRVFeRpsz+hLaK7IWqqr6qXGOcihQGe0P986qqv6VX/UUQoj8pKpqXhfUFHnzEtqc81JooeoDVVU9kr9VeiL/lnYIkZ9qok2jsEF7I0dH9e/XTQshhHhOXsgpJIqi2KO9wi1SURRbIAJt9fZgtNfBTVW0V4OVUFV1ZP7VVAghhBBCCCGEEM/DCzmFRFXVq6qqRhr/HYu2GFQFtLDX5cZky3nCV9IJIYQQQgghhBCiYHkhIzDSUhSlMrAT7ZVxF43vzE7d95eqqiUyydMf6A9gbW3t/vLLeX5Vd75LSUnBzOyFHF8SQohckfuYEKKgk/uYEKKgK6j3sbNnz95UVbXM49tfyDUwUimKYoP2yr+3VVW99/cr1bOnqupCYCGAh4eHevjw4X+ukv+Q8PBw/Pz88rsaQgjxxOQ+JoQo6OQ+JoQo6ArqfUxRlAuZbX9hh2IURbFEG7xYparqt8bN14zrY6Suk3E9v+onhBBCCCGEEEKI5+eFHMBQtFCLJcApVVVnp9n1PdDL+O9ewHfPu25CCCGEEEIIIYR4/l7UKSQNgJ7AMUVRDMZto4CpwFpFUV4HLgKd8qd6QgghhBBCCCGEeJ5eyAEMVVV3A1kteNH0edZFCCGEEEKIf1piYiKXL18mISEhv6sihPgXsbOz49SpU/ldjSxZWVlRsWJFLC0tc5X+hRzAEEIIIYQQ4r/k8uXL2NraUrlyZXK7cL0QQuQkNjYWW1vb/K5GplRV5datW1y+fBkHB4dc5Xkh18AQQgghhBDivyQhIYFSpUrJ4IUQ4j9DURRKlSqVp8gzGcAQQgghhBDiBSCDF0KI/5q83vdkCokQQgghhBAFyIVb91m063c2Honh/sMkiha2oK1refr5VKFSqaL5XT0hhPjHSASGEEIIIYQQBcSOM9dpMWcXXx+8RNzDJFQg7mESXx+8RIs5u9hx5voTl21ubo5er8fR0REXFxdmz55NSkoKAIcPH2bo0KHPpA1jx44lLCzsqcsJDw/Hzs4OV1dXatasia+vLz/88EOO+b7//numTp0KwPjx45k5c2auj7l//368vb3R6/XUrl2b8ePHm/Zt2rSJOnXq4OTkxOjRo9PlGz9+PBUqVECv1+Pk5MT333+fafkbN27E2dmZWrVqodPp2Lhxo2lf2n7z8/Pj8OHDGfKrqkr//v2pU6cOOp2Offv2ZdmWpKQkRo0aRfXq1dHr9ej1ej7++ONc90VW0rY19efOnTtPXW5aeWmnn58fNWvWxMXFhQYNGnDmzJknPm5urpfU61Kv1+Ps7EyzZs24fj3nz6WNjQ0A0dHRODk5ZdhvMBioV68ejo6OODs7ExoaCkBycjLu7u7s3LnTlNbf359vvvkmQxk//PADrq6uuLi4UKdOHb788ksAgoODWbduXY51fBFIBIYQQgghhBAFwIVb9xm0MpL4xOQM+5JSVJJSkhm0MpKf3/Z5okgMa2trDAYDANevX6d79+7cvXuXCRMm4OHhgYeHR8bjJiVhYZG3R4qJEyfmuW5Z8fHxMQ1aGAwG2rZti7W1NU2bZv3iwsDAQAIDA5/oeL169WLt2rW4uLiQnJyc7mH47bffJiwsDAcHB/74448MeYcNG8bw4cM5deoUPj4+XL9+HTOzv79PPnr0KMOHD2fr1q2mMpo3b06VKlVwdnbOVb/t3r2bc+fOceLECeLj44mNjc0y7ZgxY/jzzz85duwYVlZWxMbGMmvWrDz2SOZS2/pPyUs7AVatWoWHhwcLFy5kxIgRGQaQkpOTMTc3f2b1S3tdfvDBB3z++edMmDDhqcosUqQIK1asoHr16sTExODu7k5AQADFixfniy++oG/fvkRGRrJu3ToURaFTp07p8icmJtK/f38OHjxIxYoVefjwIdHR0U9VJ9AGk1RVTXct/5MkAkMIIYQQQogCYNGu30lMTsk2TWJyCot3ZXx4zquyZcuycOFC5s2bh6qqhIeH07p1a0D7Frp///74+/sTFBTEjRs36NChA56ennh6erJnzx4AXnvtNVasWAHAl19+SY8ePYD03/Zu27YNV1dXdDodffr04eHDhwBUrlyZcePG4ebmhk6n4/Tp0znWWa/XM3bsWObNmwdoERHe3t64urrSrFkzrl27BsCyZcsYPHhwury//fYbbm5upt/PnTuHu7t7hmNcv34de3t7QItYqVOnjmlfoUKFuHz5MkC2b1SoXbs2FhYW3Lx5M932mTNnMmrUKFNeBwcHPvjgA2bMmAHk7lvyQoUKce3aNRITEylSpAjlypXLNN2DBw9YtGgRn332GVZWVgDY2tqmiyhp27Yt7u7uODo6snDhQkB70A8ODsbJyQmdTscnn3ySbX3Smj17Nn369AHg2LFjODk58eDBA8aPH0/Pnj1p0qQJ1atXZ9GiRTmWldt2Ps7X15fz588DWsTD2LFj8fb2Zt++fcyePRsnJyecnJyYM2eOKc/HH39MzZo1adasWZ6jN1RVJTY2lhIlSgAZIzicnJxyPYhQo0YNqlevDkD58uUpW7YsN27cAMDb25v69eszfvx4Ro0axeeff54hf2xsLElJSZQqVQqAwoULU7NmTdP+nTt3Ur9+fapUqWK6zuLi4mjatKnpc/jdd98BWpRI7dq1GTRoEG5ubly6dIkZM2bg6emJs7Mz48aNA+D+/fu0atUKFxcXnJycTFEjT0MiMIQQQgghhHiBTNh0gpMx9zJsPxR9mxQ1+7xJKSqrD1zk7LX030jXKV+McW0c81SPKlWqkJKSkmn4e0REBLt378ba2pru3bszbNgwGjZsyMWLFwkICODUqVMsXLiQBg0a4ODgwKxZs9i/f3+6MhISEggODmbbtm3UqFGDoKAg5s+fz9tvvw1A6dKliYyM5IsvvmDmzJksXrw4xzq7ubmZHvgbNmzI/v37URSFxYsXM3369CwjDKpWrYqdnR0GgwG9Xk9ISAjBwcEZ0g0bNoyaNWvi5+dHixYt6NWrF1ZWVqSkpFC7dm369OnDli1bsh3AOHDgAGZmZpQpUybd9hMnTmSIWvDw8Mj0YTQr5cqV4969ewQHB7Nq1aosF0g8f/48r7zySrav11y6dCklS5YkPj4eT09POnToQHR0NFeuXOH48eMAWU4N+eSTT1i5ciUAJUqUYMeOHbz99tv4+fmxYcMGPv74Y7788kuKFCkCQFRUFPv37+f+/fu4urrSqlUrypcv/9TtfNymTZvQ6XSA9nDt5OTExIkTiYiIICQkhAMHDqCqKt7e3jRq1IiUlBS+/vprjhw5QlJSEm5ubpkObD1u165d6PV6bt26RdGiRZk8eXKu6pdbBw8e5NGjR1StWtW0bcqUKbz88su8/fbbVKtWLUOekiVLEhgYSKVKlWjatCmtW7emW7dupsiJq1evsnv3bk6fPk1gYCAdO3bEysqKDRs2UKxYMW7evEndunVN0UtnzpwhJCSEL774gi1btnDu3DkOHjyIqqoEBgayc+dObty4Qfny5dm8eTMAd+/efeq2SwSGEEIIIYQQBUBOgxepktVcJswFNYuyAgMDsba2BiAsLIzBgwej1+sJDAzk3r17xMbGUq5cOSZOnEjjxo2ZNWsWJUuWTFfGmTNncHBwoEaNGoA2PSPtPP727dsD4O7unutvqdPW9/LlywQEBKDT6ZgxYwYnTpzINm/fvn0JCQkhOTmZ0NBQunfvniHN2LFjOXz4MP7+/qxevZoWLVoA8Nlnn+Ho6Mj8+fNp06YNN27c4ODBg+nC+D/55BP0ej3Dhw8nNDQ0w0O3qqq52padjh07sm3bNooUKcKwYcMAGDRokOkBMishISHo9XpefvllLl26BMDcuXNxcXGhbt26XLp0iXPnzlGlShV+//13hgwZws8//0yxYsUyLW/YsGEYDAYMBgM7duwAwMzMjGXLltGzZ08aNWpEgwYNTOlfe+01rK2tKV26NI0bN+bgwYPPtJ09evRAr9ezZ88eUwSEubk5HTp0ALQpKe3ataNo0aLY2NjQvn17du3axa5du2jXrh1FihShWLFiuZ565OPjg8Fg4NKlS/Tu3Zv33nsvV/ly4+rVq/Ts2ZOQkJB00zZ27tyJnZ2daXApM4sXL2bbtm14eXkxc+ZMU0QMaBE3ZmZm1KlTxxStpKoqo0aNMq3lceXKFdO+SpUqUbduXQC2bNnCli1bcHV1xc3NjdOnT3Pu3Dl0Oh1hYWGMHDmSXbt2YWdn99TtlwgMIYQQQgghXiBZRUo4jfuFuIdJOea3KWxB6Bv1nroev//+O+bm5pQtW5ZTp06l21e06N9rbKSkpLBv3z7TgEZax44do1SpUsTExGTYl9XgSKrChQsD2oNmUlLO7QY4cuQItWvXBmDIkCG88847BAYGEh4enm56RGY6dOjAhAkTaNKkCe7u7qZQ+8dVrVqVgQMH0q9fP8qUKcOtW7f45ZdfeO+99/Dz82Ps2LG0atUKLy8vunTpYsqX07oQjo6OHD58GGdnZ9O2yMjIdNNUsnP9+nVu3rxJzZo1+fLLL03tOXz4sCkqJVW1atW4ePEisbGx2Nra0rt3b3r37o2TkxPJycmEh4cTFhbGvn37KFKkCH5+fiQkJFCiRAmOHj3KL7/8wueff87atWtZunRpruoH2tQcGxubDNfD44M02Q3a5KWdqVLXwEjLysrKtO5Fdtfi077eODAw0DRQYmFhYVoYF7QopLy4d+8erVq14qOPPjINHoAWTfLee++xfft2+vTpw48//sirr76aaRk6nQ6dTkfPnj1xcHBg2bJlwN+fN/i7P1atWsWNGzeIiIjA0tKSypUrm+qc9h6gqioffPABb7zxRobjRURE8OOPP/LBBx/g7+/P2LFj89Tmx0kEhhBCCCGEEAVAW9fyWJhl/zBlYabQzrXCUx/rxo0bDBgwgMGDB+f4AOfv729adwIwLQR68OBBfvrpJ44cOcLMmTMzLGxZq1YtoqOjTWsSfPXVVzRq1OiJ6xwVFcWkSZN48803AS1cvUIFrS+WL1+eY34rKysCAgIYOHAgvXv3zjTN5s2bTQ93586dw9zcnOLFi+Pq6srKlStJSUmhc+fOVK9endWrV9OqVatc13/48OFMmTLFFG0SHR3N5MmTeffdd3OVv0yZMqiqyo4dOzA3N2fhwoV8+umnuLm5pXvYBG1ByNdff53BgwebHkiTk5N59OgRoPVdiRIlKFKkCKdPnzZN/7l58yYpKSl06NCBSZMmERkZmev23b17l7feeoudO3dy69atdOt5fPfddyQkJHDr1i3Cw8Px9PR8Ju3MLV9fXzZu3MiDBw+4f/8+GzZswMfHB19fXzZs2GBaKHTTpk15Lnv37t2mqR6VK1c29VlkZGSmi71m5dGjR7Rr146goKAMC3ROnDiRzp07U6tWLb744guGDRuWYXAkLi6O8PBw0+8Gg4FKlSple8y7d+9StmxZLC0t2bFjBxcuXMg0XUBAAEuXLiUuLg6AK1eucP36dWJiYihSpAj/+9//GD58eJ6ul6xIBIYQQgghhBAFQD+fKqyPuEJSSsa3kKSyNDejr0/W6y9kJz4+Hr1eT2JiIhYWFvTs2ZN33nknx3xz587lzTffxNnZmaSkJHx9ffn000/p168fISEhlC9fnlmzZtGnTx+2b99uymdlZUVISAidOnUiKSkJT09PBgwYkKc679q1C1dXVx48eEDZsmWZO3eu6Q0k48ePp1OnTlSoUIG6devm6mGxR48efPvtt/j7+2e6/6uvvmLYsGEUKVIECwsLVq1ahbm5OaNHj2bIkCE4OTlhbW1No0aNeOONN+jevTvr16/PVVv0ej3Tpk2jTZs2JCYmYmlpyfTp09Hr9bnKrygK69evZ+jQoTx48IAiRYowb948pk+fzrp16+jYsWO69B9//DEffvghTk5O2NraYm1tTa9evShfvjz29vYsWLAAZ2dnatasafq2/8qVK/Tu3dsURTBlypRM65J2DQzQXg87ceJEBg0aRI0aNViyZAmNGzfG19cXAC8vL1q1asXFixf58MMPTetf6PV604DYk7YzN9zc3AgODsbLywvQphO5uroC0KVLF/R6PZUqVcLHx8eUZ8GCBQCZXrOpa2CoqoqdnZ1p/ZYOHTqwYsUK9Ho9np6epulTubF27VrT4E9q1MSyZcsoVKgQGzZs4OjRo4DWZwEBAUybNs20mCZoURLTp0/njTfewNramqJFi5rKyUqPHj1o06YNHh4e6PV6atWqlWk6f39/Tp06Rb16WuSXjY0NK1eu5Pz584wYMQIzMzMsLS2ZP39+rtubFSWn0K2CzsPDQ83sHckvuvDwcPz8/PK7GkII8cTkPiaEKOie533s1KlTpqkP2dlx5jqDVkaSmJxCUppFMSzMFCzNzfjif240rln2n6zqv9rMmTO5e/cukyZNyu+q/GeMHz8eGxubf/S1q/9lqdOEXmSZ3f8URYlQVTXDu5slAkMIIYQQQogConHNsvz8tg+Ld/3BhiNXuP8oiaKFLGjnWoG+Pg5UKvVkIfQC2rVrx2+//ZYuSkQI8WKRAQwhhBBCCCEKkEqlijKprROT2jrld1X+VTZs2JDfVfhPymlxVSHSkkU8hRBCCCGEEEII8cKTAQwhhBBCCCGEEEK88GQAQwghhBBCCCGEEC88WQNDCCGEEEKIguT277B3HkSthUdxUMgGnDtD/cFQskp+104IIf4xEoEhhBBCCCFEQXFuK8xvAJEr4FEsoGr/jVyhbT+39YmL/vjjj3F0dMTZ2Rm9Xs+BAwcA6Nu3LydPnnxGDcjexo0bcXZ2platWuh0OjZu3PjMj+Hn58fhw4efebmZWbZsGYMHD34ux0q1YsUKnJyccHR0pE6dOsycOfO5Hv9pLF26FJ1Oh7OzM05OTnz33XeA1o8xMTFPVGZ+nAPxz5EIDCGEEEIIIQqC27/D2iBIfJBxX0qi9rM2CAbuyXMkxr59+/jhhx+IjIykcOHC3Lx5k0ePHgGwePHiPJWVnJyMubl5lr9n5ejRowwfPpytW7fi4ODAH3/8QfPmzalSpQrOzs55qsN/1U8//cScOXPYsmUL5cuXJyEhga+++iq/q5Urly9f5uOPPyYyMhI7Ozvi4uK4ceMGoA1CODk5Ub58+XyupchvEoEhhBBCCCFEQbB3HiQnZp8mORH2fZ7noq9evUrp0qUpXLgwAKVLlzY9LKaNWNiyZQv16tXDzc2NTp06ERcXB0DlypWZOHEiDRs25Jtvvsnw+6JFi/D09MTFxYUOHTrw4EHGQZiZM2cyatQoHBwcAHBwcOCDDz5gxowZpnqMHDkSLy8vatSowa5du7QmJyczfPhw0zf3n332GQDbtm3D1dUVnU5Hnz59ePjwYYZjrlmzBp1Oh5OTEyNHjjRtX7JkCTVq1MDPz49+/foxePBgYmNjcXBwIDFROwf37t2jcuXKpt9zEhwczNChQ6lfvz5VqlRh3bp1pn3Tp09Hp9Ph4uLC+++/n6vyMjNlyhRmzpxpOndWVlb069cPAIPBQN26dXF2dqZdu3b89ddfgNavw4YNw9fXl9q1a3Po0CHat29P9erVGTNmDADR0dHUqlWLvn374uTkRI8ePQgLC6NBgwZUr16dgwcPAnD79m3atm2Ls7MzdevWJSoqCtBeldqnTx/8/PyoUqUKc+fOzVD369evY2tri42NDQA2NjY4ODiwbt06Dh8+TI8ePdDr9cTHx2d5bg8dOkT9+vVxcXHBy8uL2NjYdMfYvHkz9erV4+bNm0/cxyJ/yQCGEEIIIYQQL5Kf3oeQVhl/IpZpURbZSUmEwyEZ8/6U/UOxv78/ly5dokaNGgwaNIhff/01Q5qbN2/y0UcfERYWRmRkJB4eHsyePdu038rKit27d9O1a9cMv7dv355Dhw5x9OhRateuzZIlSzKUf+LECdzd3dNt8/Dw4MSJE6bfk5KSOHjwIHPmzGHChAkALFy4kD/++IMjR44QFRVFjx49SEhIIDg4mNDQUI4dO0ZSUhLz589PV3ZMTAwjR45k+/btGAwGDh06xMaNG4mJiWHSpEns37+frVu3cvr0aQBsbW3x8/Nj8+bNAHz99dd06NABS0vLbPs2ratXr7J7925++OEH00DFTz/9xMaNGzlw4ABHjx7lvffey3V5jzt+/HiGPkwVFBTEtGnTiIqKQqfTmfoPoFChQuzcuZMBAwbw2muv8fnnn3P8+HGWLVvGrVu3ADh//jxvvfUWUVFRnD59mtWrV7N7925mzpzJ5MmTARg3bhyurq5ERUUxefJkgoKCTMc4ffo0v/zyCwcPHmTChAkZBn5cXFwoV64cDg4O9O7dm02bNgHQsWNHPDw8WLVqFQaDAUVRMj23jx49okuXLnz66accPXqUsLAwrK2tTeVv2LCBqVOn8uOPP1K6dOkn7mORv2QAQwghhBBCiIJATX626dKwsbEhIiKChQsXUqZMGbp06cKyZcvSpdm/fz8nT56kQYMG6PV6li9fzoULF0z7u3Tpki592t+PHz+Oj48POp2OVatWpRuUMFVbVVEUJdtt7du3B8Dd3Z3o6GgAwsLCGDBgABYW2uz4kiVLcubMGRwcHKhRowYAvXr1YufOnenKPnToEH5+fpQpUwYLCwt69OjBzp07OXjwII0aNaJkyZJYWlrSqVMnU56+ffsSEhICQEhICL179866UzPRtm1bzMzMqFOnDteuXTPVv3fv3hQpUsRU/2ft7t273Llzh0aNGgEZ+yMwMBAAnU6Ho6Mj9vb2FC5cmCpVqnDp0iVAi4jR6XSYmZnh6OhI06ZNURQFnU5nOhe7d++mZ8+eADRp0oRbt25x9+5dAFq1akXhwoUpXbo0ZcuWNbU/lbm5OT///DPr1q2jRo0aDBs2jPHjx2doS1bn9syZM9jb2+Pp6QlAsWLFTNfEjh07mDZtGps3b6ZEiRLPoktFPpE1MIQQQgghhHiRtJya+fbJFY0Ld+agsC303pznw5qbm+Pn54efnx86nY7ly5cTHBxs2q+qKs2bN2fNmjWZ5i9atGiWvwcHB7Nx40ZcXFxYtmwZ4eHhGfI7Ojpy+PDhdOtdREZGUqdOnb+bZpziYm5uTlJSkqlemQ185CSrNNnlbdCgAdHR0fz6668kJyfj5OSU43HSSq1/2uNkVv/s9O7dmyNHjlC+fHl+/PHHdPscHR2JiIigSZMmT1QvMzOzdHU0MzMz9fPj29PmSXsuHpfatrT5056/x9N6eXnh5eVF8+bN6d27d4ZBjOzOW1b9WKVKFX7//XfOnj2Lh4dHpmlEwSARGEIIIYQQQhQEzp3BLIfpCmaW4Nwl+zSZOHPmDOfOnTP9bjAYqFSpUro0devWZc+ePZw/fx6ABw8ecPbs2VyVHxsbi729PYmJiaxatSrTNMOHD2fKlCmmb/Ojo6OZPHky7777brZl+/v7s2DBAtMD8e3bt6lVqxbR0dGmun711Vem6INU3t7e/Prrr9y8eZPk5GTWrFlDo0aN8PLy4tdff+Wvv/4iKSmJ9evXp8sXFBREt27d0kVfzJs3j3nz5uWqLzKr/9KlS03rgty+fTvb9CEhIRgMhgyDFwAffPAB7733Hn/++ScADx8+ZO7cudjZ2VGiRAnTuiGZ9cez4Ovrazq/4eHhlC5dmmLFiuUqb0xMDJGRkabf016Dtra2pvUssjq3tWrVIiYmhkOHDgHaNZd6TVSqVIlvv/2WoKCgTKN/RMEhERhCCCGEEEIUBPUHw9E12a+DYW4J9d7Mc9FxcXEMGTKEO3fuYGFhQbVq1Vi4cGG6NGXKlGHZsmV069bNtGjiRx99ZArlz86kSZPw9vamUqVK6HS6DIsrAuj1eqZNm0abNm1ITEzE0tKS6dOno9frsy27b9++nD17FmdnZywtLU2LboaEhNCpUyeSkpLw9PRkwIAB6fLZ29szZcoUGjdujKqqvPrqq7z22msAjBo1Cm9vb8qXL0+dOnWws7Mz5evRowdjxoyhW7dupm2nT5+mQYMGOfZDZlq0aIHBYMDDw4NChQrx6quvMnnyZBYsWACQod7ZefXVV7l27RrNmjUzRST06dMHgOXLlzNgwAAePHhAlSpVTFNhnqXx48fTu3dvnJ2dKVKkCMuXL8913sTERIYPH05MTAxWVlaUKVPG1AfBwcEMGDAAa2tr9u3bl+m5LVSoEKGhoQwZMoT4+Hisra0JCwszlV+zZk1WrVpFp06d2LRpE1WrVn3m7Rf/PCU34VUFmYeHh/q83vP8LIWHh+Pn55ff1RBCiCcm9zEhREH3PO9jp06donbt2jknPLdVe1VqcmL6gQwzS23wovMKqN78n6vof0RcXBw2NjYkJSXRrl07+vTpQ7t27QBYt24d3333XbrXk7Zu3Zpvv/2WQoUK5VeVhchUbGwstra2+V2NbGV2/1MUJUJV1QzzfSQCQwghhBBCiIKienMYuEd7VWpUKDyKg0I22rSRem9CySr5XcN/hfHjxxMWFkZCQgL+/v60bdsWgCFDhvDTTz9lmL7xww8/5EMthfjvkQEMIYQQQgghCpKSVaDVLO1H/CNmzpyZ6fbPPvvsOddECJGWLOIphBBCCCGEEEKIF54MYAghhBBCCCGEEOKFJwMYQgghhBBCCCGEeOHJGhhCCCGEEEIUIJfuXWL5yeX88PsPPEh8QBHLIrSu0ppedXrxcrGX87t6Qgjxj5EIDCGEEEIIIQqIXZd30X5Te9afXc/9xPuoqNxPvM/6s+tpv6k9uy7veuKyFUWhZ8+ept+TkpIoU6YMrVu3BuD7779n6tSpT92GlJQUhg4dipOTEzqdDk9PT/744488l2MwGDK8DeRZsbGxSff7smXLGDx4cIZ0Dx48oEePHuh0OpycnGjYsCFxcXHZlh0cHIyDgwN6vZ5atWoxYcIE076+ffty8uTJPNV148aNODs7U6tWLXQ6HRs3bjTtGzt2LGFhYQD4+flx+PDhDPmz2p6dx/vnSVy4cAF3d3f0ej2Ojo4sWLAAgOTkZNzd3dm5c6cprb+/P998802GMp6k7i+irPrT3NwcvV5v+pk6dSrt2rVDr9dTrVo17OzsTPv27t2Ln58fHh5/v3n08OHDvPrqq8+rGc+FRGAIIYQQQghRAFy6d4l3fn2HhKSEDPuS1CSSkpJ459d3+LbNt08UiVG0aFGOHz9OfHw81tbWbN26lQoVKpj2BwYGEhgYmKuyVFVFVVXMzDJ+XxoaGkpMTAxRUVGYmZlx+fJlihYtmuf6GgyGPD+gJSUlYWHx7B6BPv30U8qVK8exY8cAOHPmDJaWljnmmzFjBh07diQhIYE6deoQFBSEg4MDixcvztPxjx49yvDhw9m6dSsODg788ccfNG/enCpVquDs7MzEiROfqF3Pg729PXv37qVw4cLExcXh5OREYGAg5cuX54svvqBv375ERkaybt06FEWhU6dO+VbXZ33d5Ja1tTUGgyHTfeHh4cycOTPDK3yvX7/OTz/9RMuWLZ9DDZ8/icAQQgghhBCiAFh+cjlJyUnZpklKTmLFyRVPfIyWLVuyefNmANasWUO3bt1M+9JGIVy7do127drh4uKCi4sLe/fuJTo6mtq1azNo0CDc3Ny4dOkSI0aMMEVahIaGAnD16lXs7e1NgxsVK1akRIkSAGzZsoV69erh5uZGp06dTNEMhw4don79+ri4uODl5cXdu3cZO3YsoaGh6PV6QkNDuX37Nm3btsXZ2Zm6desSFRUFwPjx4+nfvz/+/v4EBQVx4sQJvLy80Ov1ODs7c+7cuSfur6tXr6Yb5KlZsyaFCxfOdf6EBG0wKnUAJ21EwZIlS6hRowZ+fn7069cv0wiQmTNnMmrUKBwcHABwcHDggw8+YMaMGYAW7bFu3bpc18fGxobRo0fj4uJC3bp1uXbtGgB//PEH9erVw9PTkw8//DBdnhkzZuDp6YmzszPjxo0DYMOGDTRr1gxVVbl69So1atTgzz//TJevUKFCpr56+PAhKSkppn3e3t7Ur1+f8ePHM2rUKD7//PNct+H+/fv06dMHT09PXF1d+e6770xlnjhxwpTOz8+PiIiILNMvW7aMTp060aZNG/z9/YmLi6Np06a4ubmh0+lM6QAmTZpErVq1aN68Od26dTO9hve3336jRYsWuLu74+Pjw+nTp3Psz6c1YsQIPvroo2da5otEBjCEEEIIIYR4gUw7OI3eP/fO8PPN2W9IUnMYwFCTWHt2bYa80w5Oy9Wxu3btytdff01CQgJRUVF4e3tnmm7o0KE0atSIo0ePEhkZiaOjI6BFIAQFBXHkyBEOHz6MwWDg6NGjhIWFMWLECK5evUrnzp3ZtGkTer2ed999lyNHjgBw8+ZNPvroI8LCwoiMjMTDw4PZs2fz6NEjunTpwqeffmoqq2jRokycOJEuXbpgMBjo0qUL48aNw9XVlaioKCZPnkxQUJCpvhEREXz33XesXr2aBQsW8NZbb5kiOCpWrJirvslMnz59mDZtGvXq1WPMmDG5HgwZMWIEer2eihUr0rVrV8qWLZtuf0xMDJMmTWL//v1s3brV9OD7uBMnTuDu7p5um4eHR7oH9by4f/8+devW5ejRo/j6+rJo0SIA3nrrLQYOHMihQ4d46aWXTOm3bNnCuXPnOHjwIAaDgYiICHbu3Em7du146aWX+Pzzz+nXrx8TJkxIly/VpUuXcHZ25uWXX2bkyJGUL1/etG/KlCnMmTOH7t27U61atVy34eOPP6ZJkyYcOnSIHTt2MGLECO7fv0/Xrl1Zu3YtoA08xcTE4O7unmV6gH379rF8+XK2b9+OlZUVGzZsIDIykh07dvDuu++iqiqHDx9m/fr1HDlyhG+//TbdlJb+/fvz2WefERERwcyZMxk0aFC2/fm4+Pj4dFNIUgcBs1OvXj0KFy7Mjh07ct1nBYkMYAghhBBCCFEApKgpOSfKQ7rMODs7Ex0dzZo1a7KdmrF9+3YGDhwIaPP07ezsAKhUqRJ169YFYPfu3XTr1g1zc3PKlStHo0aNOHToEBUrVuTMmTNMmTIFMzMzmjZtyrZt29i/fz8nT56kQYMG6PV6li9fzoULFzhz5gz29vZ4enoCUKxYsUzD+Xfv3m1aw6NJkybcunWLu3fvAtr0F2tra0B7wJs8eTLTpk3jwoULpu05URQlwza9Xs/vv//OiBEjuH37Np6enpw6dSrHsmbMmIHBYODPP/9k27Zt7N27N93+gwcP0qhRI0qWLImlpWWW0ydUVc1Qr8y25VahQoVMa564u7sTHR0NwJ49e0zROGnXSdmyZQtbtmzB1dUVNzc3Tp8+bRrE+eyzz5gyZQqFCxdOF8mT1ssvv0xUVBTnz59n+fLlpogPgJ07d2JnZ8fx48fz1IYtW7YwdepU9Ho9fn5+JCQkcPHiRTp37mxaR2Pt2rWmPs0qPUDz5s0pWbIkoPXrqFGjcHZ2plmzZly5coVr166xe/duXnvtNaytrbG1taVNmzYAxMXFsXfvXjp16oRer+eNN97g6tWr2fbn41KnkKT+dOnSJVd9MGbMmH9tFIasgSGEEEIIIcQLZKTXyEy3111dl/uJ93PMb2NpQ0iLkCc+fmBgIMOHDyc8PJxbt27lKW/atSxUVc0yXeHChWnZsiUtW7akXLlybNy4EX9/f5o3b86aNWvSpY2KisrVA3lmx0vNl7Ze3bt3x9vbm82bNxMQEMDixYtp0qRJunzW1tY8evSIQoUKAXD79m1Kly6d6XFtbGxo37497du3x8zMjB9//JHatWvnWN/UvH5+fuzevZv69etn25bMODo6cvjwYZydnU3bIiMjqVOnTq7yP87S0tLUZ+bm5iQl/R3xk9k5UFWVDz74gDfeeCPDvitXrmBmZsa1a9dISUnJdD2UVOXLl8fR0ZFdu3bRsWNH7t+/z3vvvcf27dvp06cPP/74Y67XOlFVlfXr11OzZs0M+0qVKkVUVBShoaF8+eWX2aY/cOBAuutm1apV3Lhxg4iICCwtLalcuTIJCQlZnquUlBSKFy+e5RoWTzrIlBtNmjThww8/ZP/+/f/YMfKLRGAIIYQQQghRALSu0hoLJfvvHy0UC1pXaf1Ux+nTpw9jx45Fp9NlmaZp06bMnz8f0N4ace/evQxpfH19CQ0NJTk5mRs3brBz5068vLyIjIwkJiYG0B7yoqKiTJEbe/bs4fz584D2ho+zZ89Sq1YtYmJiOHToEACxsbEkJSVha2tLbGxsuuOtWrUK0BY4LF26NMWKFctQr99//50qVaowdOhQAgMDTWtlpNWoUSNWrlwJaGH8a9eupXHjxhnS7dmzh7/++guAR48ecfLkSSpVqpRlvz0uKSmJAwcOULVq1XTbvby8+PXXX/nrr79ISkpi/fr1meYfPnw4U6ZMMUVKREdHM3nyZN59991c1yE3GjRowNdffw1g6mOAgIAAli5dalqr5MqVK1y/fp2kpCR69+7N6tWrqV27NrNnz85Q5uXLl4mPjwfgr7/+Ys+ePaZBhIkTJ9K5c2dq1arFF198wbBhw0zrheQkICCAzz77zDSwkDpFCbQpUtOnT+fu3bum6zu79GndvXuXsmXLYmlpyY4dO7hw4QIADRs2ZNOmTSQkJBAXF2daQ6ZYsWI4ODiYoj5UVeXo0aPZ9uezNHr0aKZPn/6PlJ2fZABDCCGEEEKIAqBXnV5YmOcwgGFuQVCdoGzT5KRixYq89dZb2ab59NNP2bFjBzqdDnd390zXXGjXrh3Ozs64uLjQpEkTpk+fzksvvcT169dp06YNTk5OODs7Y2FhweDBgylTpgzLli2jW7dupoU4T58+TaFChQgNDWXIkCG4uLjQvHlzEhISaNy4MSdPnjStDTB+/HhTNML777/P8uXLM617aGgoTk5O6PV6Tp8+nW6tjLTt+/bbb9Hr9dStW5dOnTrh6+sLaK+THTt2LKAt0tioUSN0Oh2urq54eHjQoUMHAF599VXTQM3jUtfAcHZ2RqfT0b59+3T7K1SowKhRo/D29qZZs2bUqVPHNE0nLb1ez7Rp02jTpg21atWiTZs2TJ8+Hb1en/XJewKffvopn3/+OZ6enqZpOaC93rR79+7Uq1cPnU5Hx44diY2NZfLkyfj4+ODj48Ps2bNZvHhxhqk1p06dwtvbGxcXFxo1asTw4cPR6XScPHmSDRs2MHr0aFMbAwICmDYt83VcWrVqRcWKFalYsSKdOnXiww8/JDExEWdnZ5ycnNItktmxY0e+/vprOnfubNqWXfq0evToweHDh/Hw8GDVqlXUqlULAE9PTwIDA3FxcaF9+/Z4eHiYztWqVatYsmQJLi4uODo6mhb+zKo/H/f4Ghjvv/9+lmkf9+qrr1KmTJlcpy8olNyGJxVUHh4eakF8N3B4eDh+fn75XQ0hhHhich8TQhR0z/M+durUqVxNO9h1eRfv/PoOSclJ6Rb0tFAssDC3YHaj2fhU9Pknqyqek7i4OGxsbEhKSqJdu3b06dOHdu3a5Xe1RCZSz9WDBw/w9fVl4cKFuLm55Xe1AC1iydbWNr+rka3M7n+KokSoqurxeFqJwBBCCCGEEKKA8Know7dtvqVjjY7YWNqgoGBjaUPHGh35ts23MnjxLzJ+/Hj0ej1OTk44ODjQtm3b/K6SyEL//v3R6/W4ubnRoUOHF2bw4t9IFvEUQgghhBCiAHm52MuMrjua0XVH53dVxD9o5syZ+V0FkUurV6/O7yr8Z0gEhhBCCCGEEEIIIV54MoAhhBBCCCGEEEKIF54MYAghhBBCCCGEEOKFJ2tgCCGEEEIIUYA8uniRWyEh3Pt+EykPHmBWpAjFAttQqndvCr3ySn5XTwgh/jESgSGEEEIIIUQBEbdzJ7+/1pY736wj5f59UFVS7t/nzjfr+P21tsTt3PnEZZubm6PX63F0dMTFxYXZs2eTkpICwOHDhxk6dOgzacPYsWMJCwt76nLCw8Oxs7PD1dWVmjVr4uvryw8//JBjvu+//56pU6cC2ps+8rJYZnBwMOvWrXviOtevX/+J84L2us6BAwdStWpVXF1dcXd3Z9GiRdnmiY6OxsnJKdN9fn5+HD58ONPtr7zyCqqqmra1bdsWGxsbAGJiYujYseNTtCRvwsPDad26dZ7y5PXcZiU4OBgHBwf0ej21atViwoQJT11mZrZu3Yq7uzs6nQ53d3e2b98OaK9BrVq1KufOnQMgMTERnU7HgQMHMpSxdOlSdDodzs7OODk58d133wFZn+eCSCIwhBBCCCGEKAAeXbzI5bfeRo2Pz7gzKQk1KYnLb71Nle82PlEkhrW1NQaDAYDr16/TvXt37t69y4QJE/Dw8MDDwyOTwyZhYZG3R4qJEyfmuW5Z8fHxMQ1aGAwG2rZti7W1NU2bNs0yT2BgIIGBgc+sDnmxd+/eXKdNTk7G3Nw83ba+fftSpUoVzp07h5mZGTdu3GDp0qXPupoAFC9enD179tCwYUPu3LnD1atXTfvKly//VAM5aWXWzhfNjBkz6NixIwkJCdSpU4egoCAcHByeqszHPzulS5dm06ZNlC9fnuPHjxMQEMCVK1ewtbVlypQpvPnmm2zZsoWZM2dSv359vL2905V3+fJlPv74YyIjI7GzsyMuLo4bN248VR3hxTs/EoEhhBBCCCFEAXArJAQ1MTHbNGpiIreWLX/qY5UtW5aFCxcyb948VFVN9w34+PHj6d+/P/7+/gQFBXHjxg06dOiAp6cnnp6e7NmzB4DXXnuNFStWAPDll1/So0cPIH0Uw7Zt23B1dUWn09GnTx8ePnwIQOXKlRk3bhxubm7odDpOnz6dY531ej1jx45l3rx5AGzatAlvb29cXV1p1qwZ165dA2DZsmUMHjw4Xd7ffvsNNzc30+/nzp3D3d092+NVrlyZmzdvAlqEip+fn6l/+vTpg5+fH1WqVGHu3LmmPKkRDKqqMmLECJycnNDpdISGhgJapEHjxo3p3r07Op0uQx0PHjzIRx99hJmZ9hhXpkwZRo4cmW2ZacXHx9O1a1ecnZ3p0qUL8ZkNhhl17dqVr7/+GoBvv/2W9u3bm/aljepYtmwZ7du3p0WLFlSvXp333nvPlG7Lli3Uq1cPNzc3OnXqRFxcnKnvJk6cSMOGDfnmm2+YO3cuderUwdnZma5du2bb79n178cff0zNmjVp1qwZZ86cSdd3LVq0wN3dHR8fH06fPk1SUhKenp6Eh4cD8MEHHzB6dPavJk5ISACgaNGiAERERNCoUSPc3d0JCAgwDfIsWrQIT09PXFxc6NChAw8ePAC0a/+dd96hcePGpvOWytXVlfLlywPg6OhIQkKC6fPQuXNnzMzMmD59OgsWLGDKlCkZ6nb9+nVsbW1N15iNjU26QZZvvvkGLy8vatSowa5duwDtPPr4+ODm5oabm5tpgO3x6zA5OZkRI0bg6emJs7MzX375JQBXr17F19cXvV6Pk5OTqdx/kkRgCCGEEEII8QL5c/JkHp7K+MD+ICICjFM6spSUxJ2vv+aRMdw8VeHatXhp1Kg81aNKlSqkpKRw/fr1DPsiIiLYvXs31tbWdO/enWHDhtGwYUMuXrxIQEAAp06dYuHChTRo0AAHBwdmzZrF/v3705WRkJBAcHAw27Zto0aNGgQFBTF//nzefvttQPtGOjIyki+++IKZM2eyePHiHOvs5ubGjBkzAGjYsCH79+9HURQWL17M9OnTmTVrVqb5qlatip2dHQaDAb1eT0hICMHBwXnqr7ROnz7Njh07iI2NpWbNmgwcOBBLS0vT/m+//RaDwcDRo0e5efMmnp6e+Pr6AnDw4EGOHz+e4Rv+EydO4OLiYhq8eFx2ZaaaP38+RYoUISoqiqioqHSDNo9r2rQp/fr1Izk5ma+//pqFCxcyadKkTNMaDAaOHDlC4cKFqVmzJkOGDMHa2pqPPvqIsLAwihYtyrRp05g9ezZjx44FwMrKit27dwNaRMcff/xB4cKFuXPnTvadS+b9GxUVxddff82RI0dISkrCzc3NNAjVv39/FixYQPXq1Tlw4ACDBg1i+/btLFu2jI4dOzJ37lx+/vnnTKdlAIwYMYKPPvqI8+fPM3ToUMqWLUtiYiJDhgzhu+++o0yZMoSGhjJ69GiWLl1K+/bt6devHwBjxoxhyZIlDBkyBICzZ88SFhaWbVTD+vXrcXV1pXDhwqZtc+bMoXbt2ixcuJCSJUtmyOPi4kK5cuVwcHCgadOmtG/fnjZt2pj2JyUlcfDgQX788UcmTJhAWFgYZcuWZevWrVhZWXHu3Dm6detmmmqS9jpcuHAhdnZ2HDp0iIcPH9KgQQP8/f359ttvCQgIYPTo0SQnJ5sGav5JMoAhhBBCCCFEQZDT4EVe0+VC2jUQ0goMDMTa2hqAsLAwTp48adp37949YmNjKVeuHBMnTqRx48Zs2LAhw0PXmTNncHBwoEaNGgD06tWLzz//3DSAkfqNv7u7O99++22e63v58mW6dOnC1atXefToUY4h/3379iUkJITZs2cTGhrKwYMHc3XMzLRq1YrChQtTuHBhypYty7Vr16hYsaJp/+7du+nWrRvm5uaUK1eORo0acejQIYoVK4aXl1eupid8/PHHfPPNN1y/fp2YmJgsy3R2djbl2blzp2ktE2dn53T7Hmdubk7Dhg0JDQ0lPj6eypUrZ5m2adOm2NnZAVCnTh0uXLjAnTt3OHnyJA0aNADg0aNH1KtXz5SnS5cupn87OzvTo0cP2rZtS9u2bXNse2b9u2vXLtq1a0eRIkUATNOE4uLi2Lt3L506dTLlT41scHR0pGfPnrRp04Z9+/ZRqFChTI+XOoUkLi6Opk2bsnfvXooVK8bx48dp3rw5oE21sLe3B+D48eOMGTOGO3fuEBcXR0BAgKmsTp06ZTt4ceLECUaOHMmWLVvSbf/555+xt7fn+PHjmeYzNzfn559/5tChQ2zbto1hw4YRERHBu+++C6T/PEVHRwPaehqDBw/GYDBgbm7O2bNnTeWlvQ63bNlCVFSUKXLq7t27nDt3Dk9PT/r06UNiYiJt27ZFr9dn2a5nRQYwhBBCCCGEeIFkFSlxxt1DW7gzB2Y2NlT6asVT1+P333/H3NycsmXLcurUqXT7UkPoAVJSUti3b59pQCOtY8eOUapUKWJiYjLsy2pwJFXqt8/m5uYkJSXlqs5Hjhyhdu3aAAwZMoR33nmHwMBAwsPDGT9+fLZ5O3TowIQJE2jSpAnu7u6UKlUq2/QWFhamRU5TpxY8Xves6p9d29P2bVp16tTh6NGjpKSkYGZmxujRoxk9enS6aSm5oShKrtKBNo2kXbt2OfZdZu1VVZXmzZuzZs2aTPOkbefmzZvZuXMn33//PZMmTeLEiRPZrq2SVf9m1raUlBSKFy9uWt/lcceOHaN48eKmKUbZsbGxwc/Pj927d9OyZUscHR3Zt29fhnTBwcFs3LgRFxcXli1bZpqmAlmfX9AG3dq1a8eKFSuoWrWqaXtMTAxz587l4MGDNG7cmNdffz3TwSdFUfDy8sLLy4vmzZvTu3dv0wBGZp+nTz75hHLlypmuKysrq0zrqaoqn332WbqBmFQ7d+5k8+bN9OzZkxEjRhAUFJRl+54FWQNDCCGEEEKIAqBYYBvIacFMCwuKPYMFKm/cuMGAAQMYPHhwjg+8/v7+pnUnANOD4sGDB/npp584cuQIM2fO5I8//kiXr1atWkRHR3P+/HkAvvrqKxo1avTEdY6KimLSpEm8+eabgPYtcYUKFQBYvjzndUGsrKwICAhg4MCB9O7dO8f0lStXJiIiAtBC/vPC19eX0NBQkpOTuXHjBjt37sTLyyvbPNWqVcPDw4MxY8aQnJwMaAMnqQMXuSnT19eXVatWAVqUQFRUVLbH9PHx4YMPPqBbt255ah9A3bp12bNnj+n8PnjwIN03/KlSUlK4dOkSjRs3Zvr06aaohbzy9fVlw4YNxMfHExsby6ZNmwAoVqwYDg4OfPPNN4D2MH706FFAm3Zz69YtU2RKTtNXkpKSOHDgAFWrVqVmzZrcuHHDNICRmJjIiRMnAO3NIfb29iQmJpr6Oyd37tyhVatWTJkyxRS1kmrYsGGMGjWKihUrMnv2bN58880MA1YxMTFERkaafjcYDFSqVCnbY969exd7e3vMzMz46quvTNfV4wICApg/fz6JxjV4zp49y/3797lw4QJly5alX79+vP766+mO/0+RAQwhhBBCCCEKgFK9e6OkWUchM4qlJaWCez1R+fHx8abXqDZr1gx/f3/GjRuXY765c+dy+PBhnJ2dqVOnDgsWLODhw4f069ePpUuXUr58eWbNmkWfPn3SPXRZWVkREhJCp06d0Ol0mJmZMWDAgDzVedeuXabXqL755pvMnTvX9AaS8ePH06lTJ3x8fChdunSuyuvRoweKouDv75/p/qSkJNM32ePGjeOtt97Cx8cnz29paNeuHc7Ozri4uNCkSROmT5/OSy+9lGO+xYsXc+vWLapVq4a7uzvNmjVj2rRpuS5z4MCBxMXF4ezszPTp03McNFEUheHDh+e6/9IqU6YMy5Yto1u3bjg7O1O3bt1MF2NNTk7mf//7HzqdDldXV4YNG0bx4sXzfDw3Nze6dOmCXq+nQ4cO+Pj4mPatWrWKJUuW4OLigqOjI9999x03b97k/fffZ8mSJdSoUYPBgwfz1ltvZVr2iBEj0Ov1ODs7o9PpaN++PYUKFWLdunWMHDkSFxcX9Hq9aRHMSZMm4e3tTfPmzalVq1au6j9v3jzOnz/PpEmT0Ov16PV6rl+/ztatW7l48SKvv/46AG3atKFEiRKmBXJTJSYmMnz4cGrVqoVeryc0NJRPP/0022MOGjSI5cuXU7duXc6ePZtldEjfvn2pU6cObm5uODk58cYbb5CUlER4eDh6vR5XV1fWr1+fZf89S0puQ40KKg8PD7UgvvM2PDzctJKxEEIURHIfE0IUdM/zPnbq1CnT1IfsxO3cqb1KNTER0k5LsLBAsbSk4qdzsHls4UaRezNnzuTu3buZLlaZkpKCp6cnK1aswNHRMR9qJ0TexcbGYmtrm9/VyFZm9z9FUSJUVc3w7mZZA0MIIYQQQogCwsbXlyrfbeTWsuXc+/57Uu7fx6xoUYoFBlIquBeFXnklv6tYYLVr147ffvuN7du3Z9gXExNDs2bNaNy4sQxeCJGPZABDCCGEEEKIAqTQK69gP/ZD7Md+mN9V+VfZsGFDlvvKly+f7k0rQoj8IWtgCCGEEEIIIYQQ4oUnAxhCCCGEEEIIIYR44ckAhhBCCCGEEEIIIV54sgaGEEIIIYQQBcjdGw8wbL3EmYN/kpiQjKWVOTW9XkLf/GXsyhTJ7+oJIcQ/RiIwhBBCCCGEKCAuHL/F15MOcmJPDIkJyQAkJiRzYk8MX086yIXjt5647MuXL/Paa69RvXp1qlatyltvvcWjR4+eqKxXX32VO3fu5CptcHAwDg4O6PV63Nzc2LdvX7bpJ0+enOf6REdH4+TklOd8T8PGxua5Hu/s2bO8+uqrVKtWjdq1a9O5c2euXbv2XOvwpM6cOYOfnx96vZ7atWvTv39/AAwGAz/++OMTl/u8z4H458kAhhBCCCGEEAXA3RsP+HnhMZIepaAmq+n2qckqSY9S+HnhMe7eeJDnslVVpX379rRt25Zz585x9uxZ4uLiGD169BPV9ccff6R48eK5Tj9jxgwMBgNTp07ljTfeyDZtVgMYqqqSkpKSl2r+ayQkJNCqVSsGDhzI+fPnOXXqFAMHDuTGjRv5XbVcGTp0KMOGDcNgMHDq1CmGDBkCPP0Ahvj3kQEMIYQQQgghCgDD1kskPzZw8bjkZBVD2KU8l719+3asrKzo3bs3AObm5nzyyScsXbqUBw8eEB0djY+PD25ubri5ubF3714Arl69iq+vL3q9HicnJ3bt2gVA5cqVuXnzJvfv36dVq1a4uLjg5OREaGhotvXw9fXl/PnzAKxcuRIvLy/0ej1vvPEGycnJvP/++8THx6PX6+nRowfR0dHUrl2bQYMG4ebmxqVLlxgxYgROTk7odLpMj5ecnMyIESPw9PTE2dmZL7/8EoDw8HBat25tSjd48GCWLVtmas+oUaOoV68eHh4eREZGEhAQQNWqVVmwYEG2bQoPD8fPz4+OHTtSq1YtevTogapq5/HQoUPUr18fFxcXvLy8iI2NzelUZWr16tXUq1ePNm3amLY1btwYJycnEhIS6N27NzqdDldXV3bs2AHAsmXLaNu2LW3atMHBwYF58+Yxe/ZsXF1dqVu3Lrdv3wbAz8+PYcOG4evrS+3atTl06BDt27enevXqjBkzxnS82bNn4+TkhJOTE3PmzAEwnZ9+/frh6OiIv78/8fHxGep/9epVKlasaPpdp9Px6NEjxo4dS2hoKHq9ntDQUG7fvk3btm1xdnambt26REVFARAXF2dqo7OzM+vXr09X/s2bN6lXrx6bN29+ov4VLw5ZA+MFsmLF5/xgZ8FBWx0JFMNq+168Yo/R+m4SQUFv5nf1hBBCCCHEc7Br7VluXorLsP3q+Tuo2Y9foCarnNh1hdsx99NtL/2yDT6da2SZ78SJE7i7u6fbVqxYMV555RXOnz9PtWrV2Lp1K1ZWVpw7d45u3bpx+PBhVq9eTUBAAKNHjyY5OZkHD9JHf/z888+UL1/e9OB49+7dbOu/adMmdDodp06dIjQ0lD179mBpacmgQYNYtWoVU6dOZd68eRgMBkB7QD5z5gwhISF88cUXrF+/HoPBwNGjR7l58yaenp74+vqmO8aSJUuws7Pj0KFDPHz4kAYNGuDv759tvQBefvll9u3bx7BhwwgODmbPnj0kJCTg6OjIgAEDss175MgRTpw4Qfny5WnQoAF79uzBy8uLLl26EBoaiqenJ/fu3cPa2jrHemTm+PHjGc5fqs8//xyAY8eOcfr0afz9/Tl79qwp35EjR0hISKBatWpMmzaNI0eOMGzYMFasWMHbb78NQKFChdi5cyeffvopr732GhEREZQsWZKqVasybNgwoqOjCQkJ4cCBA6iqire3N40aNaJEiRKcO3eONWvWsGjRIjp37sz69ev53//+l66Ow4YNo0mTJtSvXx9/f3969+5N8eLFmThxIocPH2bevHkADBkyBFdXVzZu3Mj27dsJCgrCYDAwadIk7OzsOHbsGAB//fWXqexr164RGBjIRx99RPPmzZ+of8WLQwYwXhDjF05mabUmJGNOsmIJQAJF2GPrxn7bZH5fOJnx/Uflcy2FEEIIIUR+yWnwwpTuCWZRqKqKoihZbk9MTGTw4MEYDAbMzc1ND8Cenp706dOHxMRE2rZti16vT5dfp9MxfPhwRo4cSevWrfHx8cn0+CNGjOCjjz6iTJkyLFmyhG3bthEREYGnpycA8fHxlC1bNtO8lSpVom7dugDs3r2bbt26YW5uTrly5WjUqBGHDh3C2dnZlH7Lli1ERUWxbt06QBtUOXfuHIUKFcq2jwIDA01tiouLw9bWFltbW6ysrLhz5062U2a8vLxMEQZ6vZ7o6Gjs7Oywt7c3tbFYsWLZHv9J7d692zQlo1atWlSqVMl0/ho3bmxqh52dnSmCQ6fTmaIbIH3bHR0dsbe3B6BKlSpcunSJ3bt3065dO4oWLQpA+/bt2bVrF4GBgab1TQDc3d2Jjo7OUMfevXsTEBDAzz//zHfffceXX37J0aNHM21LanRFkyZNuHXrFnfv3iUsLIyvv/7alK5EiRIAJCYm0rRpUz7//HMaNWr0xH0oXhwFbgBDUZQWwKeAObBYVdWp+Vylp7ZixecsrdaER4pVhn3JiiXJWLK0WhOqrPhcIjGEEEIIIf7lsoqUWPj2r6aFO7NTyMqcdu+65emYjo6OGcLu7927x6VLl6hatSrTp0+nXLlyHD16lJSUFKystL9bfX192blzJ5s3b6Znz56MGDGCoKAgUxk1atQgIiKCH3/8kQ8++AB/f3/Gjh2b4fgzZsygY8eOpt937NhBr169mDJlSo51T31oBkxTM7KjqiqfffYZAQEB6bbv3r073RoaCQkJ6fYXLlwYADMzM9O/U39PSkrK9php05ubm5OUlJTloFFWNmzYwIQJEwBYvHgxHh4epn2Ojo78+uuvmebLrk8eb0faNqZtU05tz+0xzM3NM51CAlC+fHn69OlDnz59cHJy4vjx47lqi6IoWfalhYUF7u7u/PLLLzKA8S9RoNbAUBTFHPgcaAnUAbopilInf2v19H6wsyAZ82zTJGPOD3YFbrxJCCGEEEI8IzW9XkIxz/6BVzFXqOH9Up7Lbtq0KQ8ePGDFihWAtk7Eu+++S3BwMEWKFOHu3bvY29tjZmbGV199RXKyNpBy4cIFypYtS79+/Xj99deJjIxMV25MTAxFihThf//7H8OHD8+wP7v6rFu3juvXrwNw+/ZtLly4AIClpSWJiYmZ5vP19SU0NJTk5GRu3LjBzp078fLySpcmICCA+fPnm8o4e/Ys9+/fp1KlSpw8eZKHDx9y9+5dtm3blsveezK1atUiJiaGQ4cOARAbG5vtQEi7du0wGAwYDIZ0gxcA3bt3Z+/evenWePj55585duwYvr6+rFq1CtDaevHiRWrWrPlM2+Lr68vGjRt58OAB9+/fZ8OGDVlG22Tm559/Np2PP//8k1u3blGhQgVsbW3TrQuSti3h4eGULl2aYsWK4e/vb5pmAn9PIVEUhaVLl3L69GmmTi3w33sLCl4EhhdwXlXV3wEURfkaeA04ma+1ekoHbXWmaSNZSVYsOWSr40RM9vMGhRDiRXHhXrLcs4QQBdrzvI8lJ6cQ/yj7b/FrNSrP6f1XScpmIU9zc4VavuVzLCsza0K/4a2hQ5g4cRIpKSkEtGjBh+MnEv8oiT59+9O9a2dC166lUSM/ihYtSvyjJLaEbWPO7NlYWFpgY2PD4iUhxD9KQgXiHyVxJNLA6A9GopiZYWlpyaefzctQt+SUFB4lJafb7lCtBmPHT6BZ8+aoKSlYWFoy59O5lLWvQJ/X+6LTOaN31TN+wiRUFVPeFq3asGv3HpydXVAU+GjyFOxKluZOdLQpXY+gYM799juurq6oKpQuU5rQb9ZTupw97Tt0RKdzpmq1aji76E31Sm1P/KMkHiUlk5TmfKXd97j4R0k8TEwmOUU17U9K1tqbjBnLV67izcGDSYiPx8rams0//cK9e/cYNOANNn6/Kfcnz9ySdd9uZMTwd3nrrbextLTESadjxqzZ9O7bn6GDB+Hk5IS5hQVfLlpCimKebTvS7ktRVRISkzJtS+o+d3cPevyvJ56e2mBRcO/e1HLUcSFNvwMkJqWQmMm1/uNPPzN06FtYWWnRGh9PmYpdydLUbeDD5ClTcHZxYcR7Ixk5agxv9OuLTqfDukgRvly8hPhHSbz73vsMe2sIjo5OmJub8cGYD2nbth0Aj5JVQlaspGO7tlgVKcobAwbmvl/FC0fJTZjVi0JRlI5AC1VV+xp/7wl4q6o6+LF0/YH+AOXKlXNPOx/qRdQ1pRgoOQfDKGoKU+P+yjGdEEK8COIfxGNd5MkWIxNCiBfB87yP1alQEoeqVXNMd/XMXfas/I2U5JR0a10oZmBmbkaD/1XFvqbdP1hTIURBYkEK5ubZR/vnt/Pnz2dY4Ldx48YRqqp6PJ62oEVgZBYzl2EERlXVhcBCAA8PD9XPz+8frtbTsdq+lwSK5JyOBHoFNn0ONRJCiKeX+to4IYQoqJ7nfezUqVOULp7zIo6lvYvxSpVSGMIucfbAnzx6mEyhwubU8H4JfbOXsSuT89+UQoj/jtjYWGxtbfO7GtmysrLC1dU1V2kL2gDGZeDlNL9XBGLyqS7PjFfsMfbYumU7jcRcTcQz9hhQ//lVTAghhBBCvHDsyhShUbeaNOr2bNcxEEKIF12BWsQTOARUVxTFQVGUQkBX4Pt8rtNTa303CXOyX1HajBRa3837XEYhhBBCCCGEEOLfoEANYKiqmgQMBn4BTgFrVVU9kb+1enpBQW/S5/x2CqkJmKvpV1Q2U5NAVSmcrKKr7ptPNRRCCCGEEEIIIfJXgRrAAFBV9UdVVWuoqlpVVdWP87s+z8r4/qP46HIEDWIjsVYfoKgpWKsPaHj/AO8kTcXcLIEu9x6xa9uh/K6qEEIIIYQQQgjx3BW0NTD+1YKC3iTI+O+/F42qz7yZOxjnOoop5hMJSinJvE27aNUm9+9VFkIIIYQQ/x53/rzK4c0bOLVrB48SEihkZUVtn8Z4tGpH8Zfs87t6QgjxjylwERj/Rf2Hrib2RCnGmY2kVMpNBljbsGbttvyulhBCCCGEeM7+OHKY5e8N5ti2X3gUHw+qyqP4eI5t+4Xl7w3mjyOHn7hsc3Nz9Ho9jo6OuLi4MHv2bFJStHe1Hj58mKFDhz6TNowdO5awsLCnLic8PBw7OztcXV2pWbMmvr6+/PDDDznm+/7775k6dSoA48ePZ+bMmbk+ZnBwMA4ODuj1emrVqsWECROeuP55rdP48eOpUKGC6dgDBw40nZ+shIeH07p1awCWLVvG4MGDM6RZtWoVzs7OODs7U79+fY4ePQrApUuXcHBw4Pbt2wD89ddfODg4cOHChQxlfPzxxzg6OuLs7Ixer+fAgQMAVK5cmZs3b+ahJ4TIngxgFACFChXi1bafcP+PUoy1HE7lhzd4t3RJFqz8Jb+rJoQQQgghnpM7f17l+0+mkPTwISnJ6ReAT0lOJunhQ77/ZAp3/rz6ROVbW1tjMBg4ceIEW7du5ccffzQ9oHt4eDB37twMeZKS8r7I/MSJE2nWrNkT1fFxPj4+HDlyhDNnzjB37lwGDx7Mtm3Zf9EXGBjI+++//8THnDFjBgaDAYPBwPLly/njjz8ypElOzn6B/iet07BhwzAYDJw8eZJjx47x66+/5uk4mXFwcODXX38lKiqKDz/8kP79+wPw8ssvM3DgQFO93n//ffr370+lSpXS5d+3bx8//PADkZGRREVFERYWxssvv5zhOHn1JNeW+PeTAYwC4uVXqvHKK6+TcL0YI62G4XzvBuMrlGPqsp9QVTW/qyeEEEIIIf5hhzdvICWHh7qUpCQOb9741McqW7YsCxcuZN68eaiqmu6b/PHjx9O/f3/8/f0JCgrixo0bdOjQAU9PTzw9PdmzZw8Ar732GitWrADgyy+/pEePHoAWxbBu3ToAtm3bhqurKzqdjj59+vDw4UNA++Z+3LhxuLm5odPpOH36dI511uv1jB07lnnz5gGwadMmvL29cXV1pVmzZly7dg3IPBLht99+w83NzfT7uXPncHd3z/Z4CQkJABQtWtRU54kTJ9KwYUO++eYbFi1ahKenJy4uLnTo0IEHDx6Y6pn6Y21tza+//ppldERWHj16REJCAiVKlADAz8+Pw4e16JubN29SuXLlXJdVv359Uzl169bl8uXLpn3Dhg1j//79zJkzh927d/Puu+9myH/16lVKly5N4cKFAShdujTly5c37f/ss88ynMeDBw9Sv359XF1dqV+/PmfOnAG0c9OpUyfatGmDv78/9+/fp0+fPnh6euLq6sp3330HwIkTJ/Dy8kKv1+Ps7My5c+dy3V5RsMkaGAVI4+ZdCPniMIWtdzC0yNssuzGXOZXsubPsZyb3bI6ZhZxOIYQQQoiCbseyhVy/8HuG7VdOn0TNYcpASnIyUWE/cety+jD/spWq0Di4f57qUaVKFVJSUrh+/XqGfREREezevRtra2u6d+/OsGHDaNiwIRcvXiQgIIBTp06xcOFCGjRogIODA7NmzWL//v3pykhISCA4OJht27ZRo0YNgoKCmD9/Pm+//TagPQhHRkbyxRdfMHPmTBYvXpxjnd3c3JgxYwYADRs2ZP/+/SiKwuLFi5k+fTqzZs3KNF/VqlWxs7PDYDCg1+sJCQkhODg407QjRozgo48+4vz58wwdOpSyZcua9llZWbF7924Abt26Rb9+/QAYM2YMS5YsYciQIRgMBkAbYJk+fTr169fPNIojM5988gkrV67kwoULtGzZEr1en6t8ubVkyRJatmxp+t3S0pIZM2bQokULtmzZQqFChTLk8ff3Z+LEidSoUYNmzZrRpUsXGjVqZNqf2XmsVasWO3fuxMLCgrCwMEaNGsX69esBLaIjKiqKkiVLMmrUKJo0acLSpUu5c+cOXl5eNGvWjAULFvDWW2/Ro0cPHj16lOeIF1FwSQRGARM8cDoXjjtAshlBRd+hTcxfLKtsz5srt5FoHAUWQgghhBD/PjkNXuQ1Xa7KyiLSNzAwEGtrawDCwsIYPHgwer2ewMBA7t27R2xsLOXKlWPixIk0btyYWbNmUbJkyXRlnDlzBgcHB2rUqAFAr1692Llzp2l/+/btAXB3dyc6OjrP9b18+TIBAQHodDpmzJjBiRMnss3bt29fQkJCSE5OJjQ0lO7du2eaLnUKyZ9//sm2bdvYu3evaV+XLl1M/z5+/Dg+Pj7odDpWrVqV7vjnzp1jxIgRhIaGYmlpmau2wd9TSK5fv879+/f5+uuvc503Jzt27GDJkiVMmzYt3faffvoJe3t7jh8/nmk+GxsbIiIiWLhwIWXKlKFLly4sW7bMtD+z83j37l06deqEk5MTw4YNS9c3zZs3N10rW7ZsYerUqej1evz8/EhISODixYvUq1ePyZMnM23aNC5cuGC6FsW/n3xlX8AoikL/4SuZP6Mzjt6naGX1ASUuTWNFpXLEfrObRa95Y13MNr+rKYQQQgghnlBWkRKfBXfSFu7MQSHrInQZN/Wp6/H7779jbm5O2bJlOXXqVLp9qdMmAFJSUti3b1+mD5HHjh2jVKlSxMTEZNiX0zTo1CkJ5ubmuV4P4ciRI9SuXRuAIUOG8M477xAYGEh4eDjjx4/PNm+HDh2YMGECTZo0wd3dnVKlSmWb3sbGBj8/P3bv3k39+vWB9P0SHBzMxo0bcXFxYdmyZYSHhwNw//59OnfuzKJFi9JNtcgLS0tLWrRowc6dO+natSsWFhamBT0TnuBLzaioKPr27ctPP/2Urt0Gg4GtW7eyf/9+GjZsSNeuXbG3z/imG3Nzc/z8/PDz80On07F8+XJTBEtm5/HDDz+kcePGbNiwgejoaOPbFzVp+1BVVdavX0/NmjXTHa927dp4e3uzefNmAgICWLx4MU2aNMlzu0XBIxEYBZBV4cJ0Dp7L2SN1sCl+Ay+zKbx1MZawiqXpujmCuzdkpV8hhBBCiH+b2j6NMTM3zzaNmbk5tX0aP/Wxbty4wYABAxg8eDCKomSb1t/f37TuBGCaInHw4EF++uknjhw5wsyZMzNMk6hVqxbR0dGcP38egK+++ird1IO8ioqKYtKkSbz55puA9i1/hQoVAFi+fHmO+a2srAgICGDgwIH07t07x/RJSUkcOHCAqlWrZro/NjYWe3t7EhMTWbVqlWl779696d27Nz4+PrlpVqZUVWXv3r2mY1euXJmIiAgA0/oiuXXx4kXat2/PV199ZYqGST3GwIEDmTNnDq+88gojRoxg+PDhGfKfOXMm3RoUBoMhw0Kfj0t7btJGazwuICCAzz77zDTYdeTIEUAbXKtSpQpDhw4lMDCQqKioXLdXFGwygFFAVahYCXfvvkSfqU2J8ueokriUcTH3OVTOjo7hp7h+KeMotxBCCCGEKLg8WrXLcc0zMwsLPFq1faLy4+PjTa9RbdasGf7+/owbNy7HfHPnzuXw4cM4OztTp04dFixYwMOHD+nXrx9Lly6lfPnyzJo1iz59+qSLurCysiIkJIROnTqh0+kwMzNjwIABearzrl27TK9RffPNN5k7dy5NmzYFtMVGO3XqhI+PD6VLl85VeT169EBRFPz9/bNMM2LECNPikTqdzjRF4nGTJk3C29ub5s2bU6tWLQAuXLjAunXrWLp0qWkhz9TFN3Pjk08+Qa/X4+TkRFJSEoMGDQJg+PDhzJ8/n/r16+f5taUTJ07k1q1bDBo0CL1ej4eHBwCLFi3ilVdeoXnz5gAMGjSI06dPZ3jzSVxcHL169aJOnTo4Oztz8uTJHKNd3nvvPT744AMaNGiQ7foVH374IYmJiTg7O+Pk5MSHH34IQGhoKE5OTuj1ek6fPk1QUFCe2iwKLuXf/gYLDw8PNS83hRdFeHh4ulCqrKxZNI7kwnuwr/gHt871JLlkS94rWYhX7iWwplZpXqld/Z+vrBBCZCK39zEhhHhRPc/72KlTp0xTH7Lzx5HDfP/JFFKSktK9StXM3BwzCwsCh32Ag6vHP1nVf7WZM2dy9+5dJk2alN9VEeKZiI2Nxdb2xV5iILP7n6IoEaqqZriZSQRGAde173juRZfmr9vlKFF1FTaxp1jwIIUYGyvanr/NycMSTiWEEEII8W/h4OpBr+nz0DVtQSHrIqAoFLIugq5pC3pNnyeDF0+hXbt2rFixgrfeeiu/qyKEyIIs4lnAKYpC7/eWs2BSRwrXjadQ+WkUuvcZK6zK0beQSqfrj1j+60E8Gnnld1WFEEIIIcQzUPwle5q9PpBmrw/M76r8q2zYsCG/qyCEyIFEYPwLWFsVpuOAeZw5UAkVhQdW71FUga9tbDBXzOiWYM6On37NuSAhhBBCCCGEEOIFJQMY/xIvv1yJhgEDOXXYiUJFYrl4ewg2hYuy7qVSFE+E3ha2fL/ul/yuphBCCCGEEEII8URkAONfpK5PAK/Y6zh3zAXb0pc4evwtitoU49vqFXjlQTKDSpTlq5Wb8ruaQgghhBBCCCFEnskAxr9M+z5jsI614MJvdSjxyhF2bZmAjZ0t61yr4nQnkffKV2Tekm/5t799RgghhBDi3yrpVjx/bTzPlXF7ufz+Lq6M28tfG8+TdCs+v6smhBD/KBnA+JdRFIWO7y7l4flHXP+zEmVqb2JL6AKK2hVlrU9t6t98xEdVqjB50bekJCXld3WFEEIIIUQexJ+5zbU5kdw/eBX1ofYaVfVhMvcPXuXanEjiz9x+qvI3bNiAoiicPn06x7Q2NjaZbr9x4wbe3t64urqya9euJ6rHsmXLGDx4cK62+/n5cfjw4Sc6Tma+//57pk6dCsDGjRs5efJkjnnGjx/PzJkzARg7dixhYWEAzJkzhwcPHuT62N7e3uj1el555RXKlCmDXq9Hr9cTHR2d94YYLVu2jJiYmEz3BQcHs27duicuO1ViYiLvv/8+1atXx8nJCS8vL3766aenLvd5SElJYejQoTg5OaHT6fD09OSPP/4AYPLkyU9c7rPqW5GeDGD8C9kWLULLQV9yNdKau3fLULLOl/y8bD1WxaxZGeBCiz/j+ax6VUYu3UTyw4f5XV0hhBBCCJELSbfiub3yFGpiCqQ8tjMF1MQUbq889VSRGGvWrKFhw4Z8/fXXT1zGtm3bqFWrFkeOHMHHxydXeZKTk5/4eM9aYGAg77//PpD7AYy0Jk6cSLNmzYC8D2AcOHAAg8HAxIkT6dKlCwaDAYPBQOXKlQFIeoIvILMbwHhWPvzwQ65evcrx48c5fvw4mzZtIjY29h895rMSGhpKTEwMUVFRHDt2jA0bNlC8eHHg6QYwxD9DBjD+pSpXqox3m6Gc2/cyDx9ZU7T6FLYu30Fhm0IsDnSn85V4vqruwICVW3gYG5ff1RVCCCGEEDmI3XUFNfnxkYv01OQUYnddeaLy4+Li2LNnD0uWLEk3gHH16lV8fX3R6/U4OTmli6oYPXo0Li4u1K1bl2vXrmEwGHjvvff48ccf0ev1xMfHs2bNGnQ6HU5OTowcOdKU18bGhrFjx+Lt7c2+ffsICQmhRo0aNGrUiD179jxRGzI7VnJyMsHBwaZv2D/55BNAi9x4++23qV+/Pk5OThw8eBD4O8pj7969fP/994wYMQK9Xs9vv/3GokWL8PT0xMXFhQ4dOmQ6OJH6zfvcuXOJiYmhcePGNG7cmCVLljBs2DBTukWLFvHOO+/k2Kbx48fTv39//P39CQoKyhCF0rp1a8LDwzNt57p16zh8+DA9evQwnY+sVK5cmXHjxuHm5oZOpzNF4cTFxdG7d290Oh3Ozs6sX78+Xb4HDx6waNEiPvvsMwoXLgxAuXLl6Ny5c5bnBLTzP3LkSNzd3WnWrBkHDx7Ez8+PKlWq8P3335vORdu2bWnTpg0ODg7MmzeP2bNn4+rqSt26dbl9W4s4MhgM1K1bF2dnZ9q1a8dff/1lOscjR47Ey8uLGjVqZBoRdPXqVezt7TEz0x6NK1asSIkSJXj//feJj49Hr9fTo0cPAGbPno2TkxNOTk7MmTPHVMaKFStwdnbGxcWFnj17ZjjGhx9+SHBwMCkp2X9+Rc5kAONfrEGjAGrVdOPUAR2KRSJquQ8JDzVgXsSSTzp60u/yAzZVeZle3+7i/q2nCzcUQgghhBDPxp1Nv3H9y6gMP/cPXM0YefG4FLh/4GqGvHc2/ZbjcTdu3EiLFi2oUaMGJUuWJDIyEoDVq1cTEBCAwWDg6NGj6PV6AO7fv0/dunU5evQovr6+LFq0CL1eny564K+//mLkyJFs374dg8HAoUOH2Lhxoym/k5MTBw4coGrVqowbN449e/awdevWbKMeQkNDTVMr9Hq9afpITExMpscyGAxcuXKF48ePc+zYMXr37m0q6/79++zdu5cvvviCPn36pDtO/fr1CQwMZMaMGRgMBqpWrUr79u05dOgQR48epXbt2ixZsiTLeg4dOpTy5cuzY8cOduzYQdeuXfn+++9JTEwEICQkJF1dshMREcF3333H6tWrs0yTWTs7duyIh4cHq1atwmAwYG1tne1xSpcuTWRkJAMHDjRNiZk0aRJ2dnYcO3aMqKgomjRpki7P+fPneeWVVyhWrFiG8rI6J6D1vZ+fHxEREdja2jJmzBi2bt3Khg0bGDt2rKmM48ePs3r1ag4ePMjo0aMpUqQIR44coV69eqxYsQKAoKAgpk2bRlRUFDqdjgkTJpjyJyUlcfDgQebMmZNue6rOnTuzadMm9Ho97777LkeOHAFg6tSpWFtbYzAYWLVqFREREYSEhHDgwAH279/PokWLOHLkCCdOnODjjz9m+/btHD16lE8//TRd+e+99x7Xr18nJCTENEginpz04L9c697v87JlEqePeGBle5O7jCHil98xt7JgYte6DL8cT/gr9nT5OZLbly/nd3WFEEIIIURWcrsG+xOu1b5mzRq6du0KQNeuXVmzZg0Anp6ehISEMH78eI4dO4atrS0AhQoVonXr1gC4u7tnuk7DoUOH8PPzo0yZMlhYWNCjRw927twJgLm5OR06dAC0qROp6QoVKkSXLl2yrGfaqRUGgwEPD49sj1WlShV+//13hgwZws8//5zuQbtbt24A+Pr6cu/ePe7cuZNtHx0/fhwfHx90Oh2rVq3ixIkTOXWrSdGiRWnSpAk//PADp0+fJjExEZ1Ol6u8gYGBOQ4+ZNfO3Grfvj2Q/nyGhYXx5ptvmtKUKFEi1+Vld/4LFSpEixYtANDpdDRq1AhLS0t0Ol26a6lx48bY2tpSpkwZ7OzsaNOmjSlPdHQ0d+/e5c6dOzRq1AiAXr16mY6RVZvSqlixImfOnGHKlCmYmZnRtGlTtm3bliHd7t27adeuHUWLFsXGxob27duza9cutm/fTseOHSldujQAJUuWNOWZNGkSd+7c4csvv0RRlFz3m8iaRX5XQPyzzM0UWr69lE0ft+L8KTeq14ng9/MfYXtgCjW9X+Ld7nUp/vVBxr1Uio57z7NKn4B9jWr5XW0hhBBCiP+s4m2qZrr9yri9poU7s6MUNqfsG855OuatW7fYvn07x48fR1EUkpOTURSF6dOn4+vry86dO9m8eTM9e/ZkxIgRBAUFYWlpaXooMzc3z3R9huzefGdlZYW5ufnf9X7KB7ysjlWiRAmOHj3KL7/8wueff87atWtZunRppsfMqQ7BwcFs3LgRFxcXli1bRnh4eJ7q2LdvXyZPnkytWrVyHX0B2uBHKgsLi3RTERISEoDs25lbqVNA0p5PVVWz7Zdq1apx8eJFYmNjTYNbqbI7/2mvHzMzM9OxzczM0l1LqdtzSpeXNmWWpmXLlrRs2ZJy5cqxceNGmjZtmqu2ZNc/np6eREREcPv27XQDG+LJSQTGf4CdbRG831gCv9/k8sValKq2k4g9c7l8+jaKucLr3byYczOZ8yXtaH/8T34/cjS/qyyEEEIIIR5TxLVszn+9mxnT5dG6desICgriwoULREdHc+nSJRwcHNi9ezcXLlygbNmy9OvXj9dff900tSQ3vL29+fXXX7l58ybJycmsWbPG9E354+nCw8O5desWiYmJfPPNN3luQ1bHunnzJikpKXTo0IFJkyalq39oaCigfbtuZ2eHnZ1dujJtbW3TLUYZGxuLvb09iYmJrFq1Ksc6PZ7f29ubS5cusXr1alP0R15VrlwZg8FASkoKly5dMq3dkVU7H69DXvn7+zNv3jzT76nrS6QqUqQIr7/+OkOHDuXRo0eAtq7EypUrc33+n4adnR0lSpQwrW/x1Vdf5ekYkZGRpkVOU1JSiIqKolKlSoA2yJI65cfX15eNGzfy4MED7t+/z4YNG/Dx8aFp06asXbuWW7duAZjW5QBo0aIF77//Pq1atSowi5q+6CQC4z+iukMVYtq8x8GNX2BVpCJlXdYS/u1LtOzVh1IVbOjY2R3b747ypm1R2l+OZ+X9fTg1rJff1RZCCCGEEEa2PhV4EHENNZuFABVzM2x9KuS57DVr1pjevJGqQ4cOrF69mrp16zJjxgwsLS2xsbExrTuQG/b29kyZMoXGjRujqiqvvvoqr732Wqbpxo8fT7169bC3t8fNzS3PbybJ6lhHjx6ld+/epqiFKVOmmPKUKFGC+vXrc+/evUyjFbp27Uq/fv2YO3cu69atY9KkSXh7e1OpUiV0Ol2OD6X9+/enZcuW2Nvbs2PHDkBbc8FgMORpKkZaDRo0wMHBwbQwppubGwBXrlzJtJ3BwcEMGDAAa2tr9u3bl+NUlMeNGTOGN998EycnJ8zNzRk3bpxpWkaqjz76iDFjxlCnTh2srKwoWrQoEydOzPX5f1rLly9nwIABPHjwgCpVqhASEpLrvNevX6dfv348NL6d0cvLy7RIav/+/XF2dsbNzY1Vq1YRHByMl5cXoEXTuLq6Atpito0aNcLc3BxXV1eWLVtmKr9Tp07ExsYSGBjIjz/+mOf+F+kp2YX1/Bt4eHioz/K90M9LeHg4fn5+z7zcDYuncOrkcRwbncXaOpabh8YROKg9NiW00KrdP52kr1kCSnISIWZx1G3RJIcShRAic//UfUwIIZ6X53kfO3XqFLVr184xXfyZ29qrVJMfe5WqmTZ4UfJ/tbGuKaHqueHn58fMmTNNa2g8L61bt2bYsGEZpigI8U/IbGrPiyaz+5+iKBGqqmb4cMoUkv+YNr1HUrN4Mqf3O5GUbEEJ/Qw2f/krj+K1+WANW9bh68K2WGLB/5RibF3/Qz7XWAghhBBCpLKuWZJyb7tR1MsepbA5KNqaF0W97Cn3tpsMXrzA7ty5Q40aNbC2tpbBCyGekEwh+Y+xMDfD763FmE9tyanDXujq7qZItcn8vKgYrd70wtzcDL1fddYfvEiP6zfoW6w8s1eso0NQx/yuuhBCCCGEACxKWVOibTVKtJWF159GXhfgfFrFixfn7Nmzz/WYQvzbSATGf1ApOxtq9F6K/Z1TnDlWF+sSl0gqPoPwlSdNq+tW93qF9ZXK43A/haEVqhKycHW2qwgLIYQQQgghhBD/JBnA+I+qU6M6ZVuMwexCDH/85opdRQM34+Zz6Ic/TGle1tnzjVMVXO4kMapabebMX4Wai1cVCSGEEEIIIYQQz5oMYPyHNWveipecGnM7KpmrMdUpXftnzpxYyck9MaY0ZaqVZI1nDRreTGRabScmLPiaZOO7poUQQgghhBBCiOdF1sD4j2vT+wN+ntqNYwdtsWoUh73HVxzYUgab4p15xbEUAHav2LG8sCNDth1ngaMTd5ZuYEbP1li+4KvZCiGEEEL8G92+fZu9e/cSFRXFo0ePKFSoEM7OztSvX5+SJWURTyHEv5dEYPzHFbIww/vNRXjanOfs/jrEx9tSof7nbFsVxo2Lf7/Xuki5osxv4UzXyw/5unZt3lj9Cwk3b+ZjzYUQQggh/nvOnTvH/PnziYyM5NGjRwA8evSIyMhI5s+fz7lz5564bHNzc/R6PY6Ojri4uDB79mxSUrR3tR4+fJihQ4c+kzaMHTuWsLCwpy4nPDwcOzs79Hq96edZlPu0oqOjsba2Rq/X4+LiQv369Tlz5kyO+SpXrsxN49/XNjY2GfZfunSJxo0bU7t2bRwdHfn0009N+wIDA/nqq69Mv/fr148ZM2ZkKGP//v14e3uj1+upXbs248ePB2D8+PHMnDkzr00V4rmTCAxBuRLFKPu/EFyWduXEYW909XbyUv1P+HGhHe3f8cO2pBUAhUpaM/M1PcU3HGFBjWoEfb+HJc3dsX25Yj63QAghhBDi3+/27dusXbuWxMTEDPtSUlJISUlh7dq1DBw48IkiMaytrTEYDABcv36d7t27c/fuXSZMmICHhwceHh4Z8iQlJWFhkbdHiokTJ+a5blnx8fHhhx9+eGblwZO16XFVq1Y19eWXX37J5MmTWb58+VOVaWFhwaxZs3BzcyM2NhZ3d3eaN29OnTp1mDt3Lo0bN6ZNmzacPHmSAwcO8MUXX2Qoo1evXqxduxYXFxeSk5NzNbCSG8nJyZibmz+TsoTIjkRgCAD0dWpi1nQC9ncNnDraAAurW5R0mcOmeYdJuP/3/yQtihVmbCd33r/wkJ0OlegSfoybZ598pF8IIYQQQuTO3r17SU5OzjZNcnIy+/bte+pjlS1bloULFzJv3jxUVSU8PJzWrVsD2rf1/fv3x9/fn6CgIG7cuEGHDh3w9PTE09OTPXv2APDaa6+xYsUKQHuI79GjBwDBwcGsW7cOgG3btuHq6opOp6NPnz48fPgQ0KIRxo0bh5ubGzqdjtOnT+e67tHR0dSuXZt+/frh6OiIv78/8fHxAPz222+0aNECd3d3fHx8TOUGBwfzzjvv0LhxY0aOHMlvv/1G3bp18fT0ZOzYsaaIiJ49e/Ldd9+ZjtWjRw++//77bOtz7949SpQoAcCyZcsYPHiwaV/r1q1z/TpXe3t73NzcALC1taV27dpcuXIF0Pqrf//+vPfeewwaNIh58+ZhaWmZoYzr169jb28PaBE3derUMe07efIkfn5+VKlShblz55q2t23bFnd3dxwdHVm4cKFpu42NDWPHjsXb25t9+/axcuVKvLy80Ov1vPHGGyQnJ5OcnExwcDBOTk7odDo++eSTXLVViKxIBIYwadGiDWsvRGF2fDdni9alVp29JFZcwM9fWtNmiCvmltp4l1kRS4Z286BYaAQfVniJjkcusvL+fSq66vO3AUIIIYQQ/wI//fQTf/75Z4btFy9ezPG19ikpKRw+fJjr16+n2/7SSy/RsmXLPNWjSpUqpKSkZCgLICIigt27d2NtbU337t0ZNmwYDRs25OLFiwQEBHDq1CkWLlxIgwYNcHBwYNasWezfvz9dGQkJCQQHB7Nt2zZq1KhBUFAQ8+fP5+233wagdOnSREZG8sUXXzBz5kwWL16coR67du1Cr9ebfl+/fj3m5uacO3eONWvWsGjRIjp37sz69ev53//+R//+/VmwYAHVq1fnwIEDDBo0iO3btwNw9uxZwsLCMDc3p3Xr1rz11lt069aNBQsWmMrv27cvn3zyCa+99hp3795l7969mUZW/Pbbb+j1emJjY3nw4AEHDhzIU9/nJDo6miNHjuDt7W3aNnz4cKpWrYqPjw++vr6Z5hs2bBg1a9bEz8+PFi1a0KtXL6ystGjr06dPs2PHDmJjY6lZsyYDBw7E0tKSpUuXUrJkSeLj4/H09KRDhw6UKlWK+/fv4+TkxMSJEzl16hTTpk1jz549WFpaMmjQIFatWoWjoyNXrlzh+PHjANy5c+eZ9oP475EIDGGiKAqvvf4BVV+y5e7Jh1yIdsau8j7izVezbcUp1JS//4dpVtic3t09+PTPFP4oVZIOv9/j7K49+Vh7IYQQQoh/t5wGL/Ka7mnKCgwMxNraGoCwsDAGDx6MXq8nMDCQe/fuERsbS7ly5Zg4cSKNGzdm1qxZGaa1nDlzBgcHB2rUqAFo0xt27txp2t++fXsA3N3diY6OzrQePj4+GAwG00/VqlUBcHBwMA1spOaP+z979x1Xddn/cfz1PYe9ERBxg7LhgIp7YY7c5krT3Hs1LbNhw3ZWVlqa2rjLnJU50nLnyoEyBREERUQUBWTD4Xx/f6j8NBXRGGKf5+NxHsn3nHNd7+sc73N7PlwjO5v9+/czePDgklkCKSkpJW0NHjy4ZBnEgQMHGDx4MADDhg0reUzHjh2Ji4vjwoULrFixgoEDB952ucn1JSTx8fHMnz+fiRMn3v4Fvg/Z2dkMHDiQ+fPnY2NjU3I9PDwcVVWJiYkp2bvkn+bMmcORI0fo1q0bP/30E927dy+5r1evXpiamuLo6EjNmjVJTU0F4PPPPycgIIBWrVqRlJRUss+KVqtl4MCBwNWZNCEhITRv3pzAwEC2b9/OqVOncHNz49SpU8yYMYMtW7bclFeI+yEzMMRNzIy1NJm8BLtPurP7qDfm5q7U9F9H8n5n/v7NjNb9G5U8VjHSMHBoU6zWhjHN3prB6Xl8t2UrTbp3rcIRCCGEEEJUb3eaKfHuu++WbNxZGlNTU8aMGfOvc5w6dQqtVkvNmjWJjo6+6T5LS8uSPxsMBg4cOFBS0LhRREQEDg4OnDt37pb77lZoMTU1Ba5+Udbr9feU/fpzrz8/Ly8Pg8GAnZ1dyd4U/3TjmEozYsQIli9fzsqVK/nmm2/u+vi+ffuWvB9GRkY3FRfy8/PL1Od1RUVFDBw4kOHDh5cUeODqezB16lR++OEHFi1axFdffcW0adNu20ajRo2YMmUKEyZMwMnJiUuXLgG3vmZ6vZ5du3axbds2Dhw4gIWFBcHBwSWZzczMSgo+qqoyatQo3nvvvVv6CwsL448//mDhwoWsXr26TK+ZEHciMzDELeo62mE29Bs6mh8i/og7mZlO1G71DccP7yTyr+SbHqtoFR4dHMD3OSYUmpgxzGDD3jW/VlFyIYQQQoiHl06nQ6Mp/Z/vGo0GnU73r/u6ePEikydPZvr06SiKUupju3XrxoIFC0p+vl4gOHToEJs3b+bYsWPMmzePhISEm57n5eVFYmIicXFxAPzwww907NjxX2e/ExsbG1xdXVmzZg1w9Ut3WFjYbR/bqlUrfv75ZwBWrlx5032jR49m/vz5APj6+t61371795bMDGnYsCGhoaEYDAaSkpI4dOhQmfOrqsq4cePw9vbmueeeu+m+xYsX4+7uTnBwMJ988gkffvghFy9evKWNTZs2lRSOTp48iVarxc7O7o59ZmZmYm9vj4WFBTExMbcsA7quc+fOrF27tmS50eXLlzl9+jRpaWkYDAYGDhzI3LlzOXr0aJnHK8TtSAFD3FZznQ+XO8wlwLCfmJDm5BeYUr/jAvb/tp+E8JuPT1U0Cm0f8+EnrDDFmJE29fj9u5/KdfqiEEIIIcR/XZs2be560oNWq6V169b31X5eXl7JMapdunShW7duvP7663d93ueff86RI0fQ6XT4+PiwaNEiCgoKmDBhAt988w21a9fm448/ZuzYsTf9+9DMzIxvv/2WwYMH4+/vj0ajYfLkyfeU+foeGNdv1zcHvZPly5ezbNkyAgIC8PX1vWlDzhvNnz+fTz75hBYtWpCSkoKtrW3Jfc7Oznh7e5c6y+X6HhgBAQG8/PLLJft3XN8TxN/fn5kzZ5ZsylkW+/bt44cffmDHjh0l4/3999+5cOECH3zwQckxqLVr1+bpp5/mxRdfvKWNH374AU9PTwIDA0tmkpT2d6p79+7o9Xp0Oh2vvfYarVq1uu3jfHx8ePvtt+nWrRs6nY6uXbuSkpJCcnIywcHBBAYGMnr06NvO0BDiXigP+5fMoKAg9ciRI1Ud457t2rWL4ODgKs2gqiorvnyT3OjtXHYJIKD5NtRCZ87seIl+T7XFueGta9hidyUyMusSKWYKH8aF8fikUSh3+U2BEOLh9CB8jgkhxL9RmZ9j0dHReHt73/VxJ0+eZPXq1RQXF9+0FEGj0aDVann88cdxd3evyKj/Cbm5uZibm6MoCitXrmTFihUlxY7c3Fz8/f05evToTYUNIR5EWVlZWFtbV3WMUt3u809RlBBVVW85u1m+WYo7UhSFxya8Si3nWmjOniY6sj1a82Rqt1rMpi+Pknkx75bneAQ3ZHXNWjTKUXnOI5Clny9Bvc1Z5UIIIYQQ4t65u7szZcoUmjVrhqmpKYqiYGpqSrNmzZgyZYoUL8pJSEgIgYGB6HQ6vvzySz7++GPg6oalXl5ezJgxQ4oXQlQB2cRTlMrCxAi/iYtx+uJRtsdaEW/REnePv7HzWs7GBWYMfKEZZlY3nzFdv2UdVoYZMe5kEq8FtCTji294fuooNNeOaBJCCCGEEPevRo0a9OrVi169elV1lIdW+/btb7s/RpcuXThz5kwVJBJCgMzAEGXQ0LkG+oHf0NP2KJcizTmb5INtwx1obDfx+1fh6AuLb3lOzQBnfvB3Izi1iI+btOS1r35Ef+VKFaQXQgghhBBCCPEwkAKGKJO2TfyJbfk27U33khTakLS0ejgFrOBK7h62fXcc1XDrXip2njVY1tKdPucKWRYYxDPf/kLhtZ2JhRBCCCGEEEKIeyEFDFFmgx4bxOmGQ3DXH+BkaBOys+2p124JZ+OPse/nuNs+x9LVji+CvRl+ppC1ukAmrN1GTlJSJScXQgghhBBCCFHdSQFDlJlGo9Bv/CtY1qyP7eVwosPaUlCowbXLQiL3RRC2/faFCbM61rzXw5dpiQX84e3DyC2HyDhxopLTCyGEEEI8HHJzTxNzYg67dgewfUdjdu0OIObEHHJzT1d1NCGEqFBSwBD3xMbcBK+xi2njmIly9jRRER0pJoNGXRex79dI4o/efomISU1LZvcPYHZCIfsbuTH071jOhxyr5PRCCCGEENVb2qVdHDzUi3PnVlFcnA2oFBdnc+7cKg4e6kXapV333bZWqyUwMBA/Pz8GDx5Mbm5umZ+bm5vL8OHD8ff3x8/Pj3bt2pGdnU1iYiJ+fn73nenf2LVrF717977p2ujRo1m7di0AwcHBHDlyBIB33333X/c3evRoXF1dCQwMxMvLizfffLPkvhv7qgjfffcd06dPr7D2b7R582aCgoLw9vbGy8uLmTNn/qv23njjDebNm3dPz1m3bh06nQ4vLy/8/f1Zt25dyX1z5sxh27ZtQMW/7qLySQFD3LPGdZzI7LuUAQ4RFMVnEBPdDsUsHtfg/7H120hS4jNv+zwjOzOmDw7kvQQ9EXXrMjj2Iqf/2lvJ6YUQQgghqqfc3NNEREzHYMhDVfU33aeqegyGPCIipt/3TAxzc3NCQ0OJjIzExMSERYsW3XR/cfGtG7df99lnn+Hs7ExERASRkZEsW7YMY2PjOz6+rPR6/d0fVA7uVMBQVRWDwVDmdj766CNCQ0MJDQ3l+++/JyEhobwiVqjS3tsbRUZGMn36dH788Ueio6OJjIzEzc3tlsdV5PsWFhbGzJkz+e2334iJiWH9+vXMnDmT8PBwAN566y26dOlSYf2LqiUFDHFfHmkRyOEmc+ltc4CsExpOnWqGSY1DuDRdz+9fhpORevuKvdbahJHDmvD5aQNnnJwYdKGI45u2VHJ6IYQQQojq50zSMlS1qNTHqGoRZ5K++dd9tW/fnri4OHbt2kWnTp0YNmwY/v7+5OfnM2bMGPz9/WnSpAk7d+4EICUlhTp16pQ839PTE1NTU+Dql+MJEybg6+tLt27dyMvLA2DJkiU0b96cgIAABg4cWDLjY/To0Tz33HN06tSJWbNmER8fT/fu3WnWrBnt27cnJiYGgDVr1uDn50dAQAAdOnS477G+9NJL5OXlERgYyPDhw0lMTMTb25upU6fStGlTkpKSmDJlCkFBQfj6+vL666/ftc38/HwALC0tb7lvxYoVJTNVZs2addfrVlZWzJo1i2bNmtGlSxcOHTpEcHAwbm5urF+/vuRxSUlJdO/eHU9Pz5tmf/z444+0aNGCwMBAJk2aVFKssLKyYs6cObRs2ZIDBw6wbNkyPDw8CA4OZsKECbed0fHhhx/yyiuv4OXlBYCRkRFTp04Fbn3f/jmzws/Pj8TERADeeecdPD096dKlCyduWFp+p/f6RvPmzePll1/G1dUVAFdXV2bPns1HH31UkuP6LBvx8JEChrhvQwcN5WidoTQzPsCFaGfOnXPHqsEGrOrtYcMXoeReKbzt8zTmRvR/MpCvzymk29gxVG/F4VVrKjm9EEIIIcSDKTZ2LiFHh91yS05eccvMi39SVT3JyStueW5s7Nwy96/X69m8eTP+/v4AHDp0iHfeeYfjx4+zcOFCACIiIlixYgWjRo0iPz+fsWPH8sEHH9C6dWteffVVTp48WdLeyZMnmTZtGlFRUdjZ2fHzzz8DMGDAAA4fPkxYWBje3t4sW7bshtcglm3btvHxxx8zceJEvvjiC0JCQpg3b17JF+a33nqLP/74g7CwsJu+yN+r999/v2T2yfLlywE4ceIEI0eO5NixYzRo0IB33nmHI0eOEB4ezu7du0t+2/9PL7zwAoGBgdStW5ehQ4dSs2bNm+4/d+4cs2bNYseOHYSGhnL48GHWrVt3x+sAOTk5BAcHExISgrW1Na+++ipbt27l119/Zc6cOSVtHzp0iOXLlxMaGsqaNWs4cuQI0dHRrFq1in379hEaGopWqy0ZY05ODn5+fhw8eBA3Nzfmzp3L33//zdatW29bOICrMzCaNWt2x9fyxvftTkJCQli5ciXHjh3jl19+4fDhwyX33em9vlFUVNQtGYKCgoiKirpjn+LhIQUMcd+0GoV+4+egr9GYOnlHSYzyJT29Fo6671CNw9n0ZThFBbefjqYx0dJtmI7v0owoNrXgSet67Fz6Pap663GsQgghhBACoKxLGcq2HOCfrs9CCAoKon79+owbNw6AFi1alPy2e+/evYwYMQIALy8vGjRoQGxsLIGBgZw6dYoXXniBy5cv07x5c6KjowFK9oUAaNasWclv4SMjI2nfvj3+/v4sX778pi+ggwcPRqvVkp2dzf79+xk8eHDJDIKUlBQA2rZty+jRo1myZMltl0AoinLbcd7p+o0aNGhAq1atSn5evXo1TZs2pUmTJkRFRXH8+PHbPu/6EpLz58+zfft29u/ff9P9hw8fJjg4GCcnJ4yMjBg+fDh//fXXHa8DmJiY0L17dwD8/f3p2LEjxsbG+Pv7l7yWAF27dsXBwQFzc3MGDBjA3r172b59OyEhITRv3pzAwEC2b9/OqVOngKt7ngwcOBC4Wvzo2LEjNWrUwNjYmMGDB9/1Nbqd6+9bafbs2UP//v2xsLDAxsaGvn37ApT6Xt9IVdVb3sPbXRMPJ6OqDiCqN3srU9xGL6bOkh6knz9OdERrAoN2ULf9IuI3v8ify0zoMdkfjebWDxTFSEPbIX78+Gs048xhXD0f5n+xmD7TJ6JopLYmhBBCiP8mD4/Xbnt91+6Aaxt3lk6rtaJZ05/uud/rsxD+6cZlEKX9ssnKyooBAwYwYMAANBoNv//+OwMHDixZSnI1m7ZkCcno0aNZt24dAQEBfPfdd+zateuWPg0GA3Z2drfNtWjRIg4ePMimTZsIDAwkNDQUBweHkvsdHBxIT0+/6TmXL1/G0dGx1Nfhn2NOSEhg3rx5HD58GHt7e0aPHl2yRKS01yI4OJi9e/fSpk2bkut3ev1Ke12NjY1LvpxrNJqS11Oj0dy018Q/v8ArioKqqowaNYr33nvvlnbNzMxKig1l/SWir68vISEhBAQE3Pb+G183IyOjm/YPufE1u12xobT3+p8Zjhw5gk6nK7l29OhRfHx8yjQGUb3Jt0Txr/nUdya1x2IGOMVgdDaRyIhgCvVFNO7xFWdiEtmzKvaOH4qKViFwgDc/qVbUKtAw3bs5yz9egFpU+vpOIYQQQoj/mlq1+qEopf/+UVGMqFXrsQrL0KFDh5IlCLGxsZw5cwZPT0/27dtXUiwoLCzk+PHjNGjQoNS2srKycHFxoaioqKTNf7KxscHV1ZU1a64uN1ZVlbCwMODqfgktW7bkrbfewtHRkaSkpJue6+7uzrlz50pmgpw+fZqwsLCS2SA3MjY2pugO//68cuUKlpaW2NrakpqayubNm0sdF1xdhnPw4EEaNWp00/WWLVuye/du0tLSKC4uZsWKFXTs2PGO1+/F1q1buXz5Mnl5eaxbt462bdvSuXNn1q5dy4ULV08KvHz5MqdP37rJa4sWLdi9ezfp6eno9fqSZT7/9MILL/Duu+8SGxsLXC06fPLJJ7d9bMOGDTl69ChwtcBwfUPTDh068Ouvv5KXl0dWVhYbNmwASn+vbzRz5kzee++9ktkniYmJvPvuuzz//PNlfalENSYFDFEuurdpzk7fuQypcQgSLhIV2ZFiNRXPXsuI2pPIsT/P3PG5ikbBs5c7Kyxq4JENLzZtz1fzFmC4Vp0XQgghhBBQv944FKX0kz0UxZj69cZWWIapU6dSXFyMv78/Q4YM4bvvvsPU1JT4+Hg6duxYsrlnUFBQyfKEO5k7dy4tW7aka9euJZtC3s7y5ctZtmwZAQEB+Pr68ttvvwFXv0xf3/SyQ4cOt8wKMDU15ccff2TMmDEEBgYyaNAgli5diq2t7S19TJw4EZ1Ox/Dhw2+5LyAggCZNmuDr68vYsWNp27btHbNe3wNDp9Ph7+/PgAEDbrrfxcWF9957j06dOhEQEEDTpk3p16/fHa/fi3bt2jFixAgCAwMZOHAgQUFB+Pj48Pbbb9OtWzd0Oh1du3a97bKMOnXq8PLLL9OyZUu6dOmCj4/PbV8nnU7H/PnzeeKJJ/D29sbPz++27QEMHDiQy5cvExgYyFdffYWHhwcATZs2ZciQISU527dvX/KcO73XNwoMDOSDDz6gT58+eHl50adPHz788MPbFqbEw0d52PccCAoKUqvj2b+7du0iODi4qmPck6JiA//77BV8z/7MjsJO2Hrn4+W9F0NWJ2I3P0HXcb54NK9Vahvn95xl4vnzHHI04um/d/Hi1DFob/PhKYR48FXHzzEhhLhRZX6ORUdH4+3tfdfHpV3aRUTEdFS16KYNPRXFCEUxxt9/AY4OwRWYVDyssrOzsbKyQq/X079/f8aOHUv//v2rOpb4l7KysrC2tq7qGKW63eefoighqqoG/fOxMgNDlBtjrYa+41/nkp0PHuoR0k/ZkZioQ2O9k4btdrD9+2iSY9NLbaNW+7p817Auj5wv4rNWwby86EcKU1MraQRCCCGEEA82R4dgWrbYRO3aQ9FqrQAFrdaK2rWH0rLFJileiPv2xhtvEBgYiJ+fH66urjz22GNVHUmIW8gmnqJcOdmYUefJr1C+7UlqagRnY5thbpGFc+2V1PRyYvMiLQNmNqNG7VvPxL6uRvNafG2m5fnQBL5v0ZbMH9czf1A3zO6yjlIIIYQQ4r/AwqIBXp5v4uX5ZlVHEQ+RefPmVXUEIe5KZmCIchfo5kJil8U8VvMU5hdjOHk8iCtZNbH3/RpzhwQ2LAglJ7Og1Das/J2Y36IxIxMLWNe0OeM27ObKtQ2YhBBCCCGEEEL890gBQ1SIfh1bsMnjTUY6hWB69hSR4e0pKDClTrsF6A3n2bggjMJ8faltmHvWYO4j3syIL2C7r44Re8K5dCSkkkYghBBCCCGEEOJBIgUMUWFGDXuSDQ5P0rfGEYySzhMeFkyRPhePHotIT73IH0siKS42lNqGaQMbXujpy6uxBRxq7MHQyLMk79xdOQMQQgghhBBCCPHAkAKGqDCmRlp6T3iDBGtfmpkdQ382j6iIdhQWn8av/4+cOX6R3T+d4G4n4ZjUtmLSAH/ejy0iul59hqTkErdhYyWNQgghhBDiwZKYV8BLJ5Jo/Fc4LjtDafxXOC+dSCIxr/QlukIIUd1JAUNUKBc7C5yeWISLrZbahZFkJZkTGxtEgXoI/36biN53jiO/J961HWMnC4YP1fH5ST1nnWoxpMCC8OUrK34AQgghhBAPkO2XrtDpUAw/plwiu9iACmQXG/gx5RKdDsWw/dKV+277nXfewdfXF51OR2BgIAcPHiy/4JVo9OjRWFhYkJWVVXLt6aefRlEU0tLS7qmt8ePHc/z4cQDefffdm+5r06bNvw/7D7t27aJ37943XRs9ejRr164t9XnBwcEcOXLkluvfffcd06dPB2DRokX873//K7+wt/G///0PPz8/fH198fHxqZKNQTdv3kxQUBDe3t54eXkxc+bMSs9wvzZu3EiTJk0ICAjAx8eHxYsXA7Bu3bqSv4f3as+ePbf8narOpIAhKlwLjzoc77CQnjVPY5Vxggun65J01ocikw14djnMoQ0JxBxIuWs7RnZm9HsygMUJBrKs7RhmVYcDi5fedQaHEEIIIcTDIDGvgPGRCeQZVPT/+OePXoU8g8r4yIT7molx4MABNm7cyNGjRwkPD2fbtm3Uq1evnJKXnaqqGAylLzEui8aNG/Pbb78BYDAY2LlzJ3Xq1LmnNoqLi1m6dCk+Pj7ArQWM/fv3/+uclWny5MmMHDmywtrfvHkz8+fP588//yQqKoqjR49ia2tb5ufr9aXvj1cWkZGRTJ8+nR9//JHo6GgiIyNxc3P71+1WhqKiIiZOnMiGDRsICwvj2LFjBAcHA/+ugPGwkQKGqBSPd2nDmoZvMsr5KGbnT5Jw0p/LGQ1QaiyjQfNT7PwhhqTjl+/ajtbKhK4jAvj2rAZMLBlVz4+tn36BWlxcCaMQQgghhKg6i85coOguv7gpUlUWJ12457ZTUlJwdHTE1NQUAEdHR2rXrg1ASEgIHTt2pFmzZjz66KOkpFz9xdOSJUto3rw5AQEBDBw4kNzcXODqjIGnnnqKNm3a4ObmdtPsgY8++ojmzZuj0+l4/fXXAUhMTMTb25upU6fStGlTkpKSmDt3Ll5eXnTt2pUnnniCefPmER8fT9OmTUvaOnnyJM2aNbvteJ544glWrVoFXJ3V0LZtW4yMjEruf+yxx2jWrBm+vr58/fXXJdetrKyYM2cOLVu25MCBAyUzG1566SXy8vIIDAxk+PDhJY+93n7Hjh15/PHH8fDw4KWXXmL58uW0aNECf39/4uPjAbh48SIDBw6kefPmNG/enH379t3z+7R9+3aaNGmCv78/Y8eOpaDg1mLVt99+i4eHBx07drypjzfeeKNkRkRwcDCzZs2iRYsWeHh4sGfPHgByc3N5/PHH0el0DBkyhJYtW3LkyBGKi4sZPXo0fn5++Pv78+mnn97S73vvvce8efNK/t6YmZkxYcIEAEJDQ2nVqhU6nY7+/fuTnp5ekuPll1+mY8eOfPbZZ4wePZrJkyfTvn17PDw82Ljx3paNf/jhh7zyyit4eXkBYGRkxNSpUwE4ffo0nTt3RqfT0blzZ86cOQNc/fs6ZcoUOnXqhJubG7t372bs2LF4e3szevTokratrKyYNWsWzZo1o0uXLhw6dIjg4GDc3NxYv349APn5+YwZMwZ/f3+aNGnCzp07gaszYQYMGED37t1xd3fnxRdfvCV7VlYWer0eBwcHAExNTfH09GT//v2sX7+eF154gcDAQOLj4+/4esbFxdGlSxcCAgJo2rRpyd+96w4fPkyTJk04derUPb2uDxIpYIhKoSgK40aMYq3tkwx1OoL52VMcj2hFfoEjlo0+w7HRRTZ/HUHa2ey7tqUxN6L1CH/+d8EIa9WESb6t+fWDT1ALCythJEIIIYQQFeu1k2fpf+zkLbcfzl26ZebFP+lV+F/ypVue+9rJs6U+r1u3biQlJeHh4cHUqVPZvfvqpulFRUXMmDGDtWvXEhISwtixY3nllVcAGDBgAIcPHyYsLAxvb2+WLVtW0l5KSgp79+5l48aNvPTSSwD8+eefnDx5kkOHDhEaGkpISAh//fUXACdOnGDkyJEcO3aMixcv8vPPP3Ps2DF++eWXkqURjRo1wtbWltDQUODqF/Ubv2DeyN3dnYsXL5Kens6KFSsYOnToTfd/8803hISEcOTIET7//HMuXboEQE5ODn5+fhw8eJB27dqVPP7999/H3Nyc0NBQli9ffkt/YWFhfPbZZ0RERPDDDz8QGxvLoUOHGD9+PF988QVwdRnLs88+y+HDh/n5558ZP378bbPv2bOHwMDAktuNX45Hjx7NqlWriIiIQK/X89VXX9303JSUFF5//XX27dvH1q1bS/2tvV6v59ChQ8yfP58333wTgC+//BJ7e3vCw8N57bXXCAm5egJgaGgoycnJREZGEhERwZgxY25pLzIy8o4FpZEjR/LBBx8QHh6Ov79/SX8AGRkZ7N69m+effx64WtDavXs3mzZtYvLkyeTn599xDPeSYfr06YwcOZLw8HCGDx/OU089VXJfeno6O3bs4NNPP6VPnz48++yzREVFERERUfL3LScnh+DgYEJCQrC2tubVV19l69at/Prrr8yZMweAhQsXAhAREcGKFSsYNWpUSf7Q0NCS927VqlUkJSXdlK9GjRr07duXBg0a8MQTT7B8+XIMBgNt2rShb9++fPTRR4SGhtKoUaM7vp7Dhw9n2rRphIWFsX//flxcXEra379/P5MnT+a3336rNrNSbkcKGKLSmJto6TH+LSItAgi2DcXk3DnCjrVHrzemVovPMLPJZuOCMLLT7/4hpTHR0mS4H8uvmFGnQMPTzR/h+3c/xnCt8i+EEEII8bAp63zT+5mXamVlRUhICF9//TVOTk4MGTKE7777jhMnThAZGUnXrl0JDAzk7bff5uzZq8WQyMhI2rdvj7+/P8uXLycqKqqkvcceewyNRoOPjw+pqanA1QLGn3/+SZMmTWjatCkxMTGcPHkSgAYNGtCqVSsA9u7dS79+/TA3N8fa2po+ffqUtDt+/Hi+/fZbiouLWbVqFcOGDbvjmAYMGMDKlSs5ePAg7du3v+m+zz//nICAAFq1akVSUlJJDq1Wy8CBA+/59WvevDkuLi6YmprSqFEjunXrBoC/vz+JiYkAbNu2jenTpxMYGEjfvn25cuXKTft0XNe+fXtCQ0NLbn379gWuFnlcXV3x8PAAYNSoUSUFoOsOHjxIcHAwTk5OmJiYMGTIkFJfH4BmzZqVZNy7d29JscfPzw+dTgeAm5sbp06dYsaMGWzZsgUbG5syvzaZmZlkZGTQsWPH2+b+Z8bHH38cjUaDu7s7bm5uxMTElLmv0hw4cKDk78uIESPYu3dvyX19+vRBURT8/f1xdnbG398fjUaDr69vyWtjYmJC9+7dgavva8eOHTE2Nr7pPd67dy8jRowAwMvLiwYNGhAbGwtA586dsbW1xczMDB8fH06fPn1LxqVLl7J9+3ZatGjBvHnzGDt27C2PudPrmZWVRXJyMv379weuzoCxsLAAIDo6umR5Sv369f/tS1mljO7+ECHKTz0HS04//iXWK3vTuDCG2PPmhB5rR9Nm22j86GKO/zKdDV+EMeCFZpial/7XUzHS4DnEmx9+jWWSPpuX23fnygfzmfbsVLR2dpUzICGEEEKIcjbXve5trzf+K5zsuxxBD2Ct1fBrE/d77ler1RIcHExwcDD+/v58//33JcssDhw4cMvjR48ezbp16wgICOC7775j165dJfddX4oClOxXpqoqs2fPZtKkSTe1k5iYiKWl5S2Pv52BAwfy5ptv8sgjj9CsWbOS6fa3M3ToUJo2bcqoUaPQaP7/97a7du1i27ZtHDhwAAsLC4KDg0t+S25mZoZWq71jm3dy43g1Gk3JzxqNpmRvB4PBwIEDBzA3N7/n9qH01+VGiqKU6XHXM2q12pKMd+rD3t6esLAw/vjjDxYuXMjq1av55ptvbnqMr68vISEhPPLII2Xq/7ob3/vb5f/nz6+88gqbNm0CKJkd8c8MAQEBd+33xnZvfL/++V5ef22MjY1LnnOn97i09+jGdm98zf/J398ff39/RowYgaurK999991dx3K3vl1cXMjPz+fYsWMlS3yqK5mBISpdO5/6HG29gE6OSdjnnSTvgpbIyNbkFRzHf+BqMs5ns2VxBMX6u/8ftKJRaDjAg+9M7Gh5uZh3g3vy7meLKbpW6RdCCCGEeFgMcrbH6C7fTY0UGFTL/p7bPnHiRMksBLj6xbBBgwZ4enpy8eLFkgJGUVFRyUyLrKwsXFxcKCoquu2yin969NFH+eabb8jOvrpkODk5mQsXbt2vo127dmzYsIH8/Hyys7NLvqzC1QLDo48+ypQpU267jOFG9evX55133inZA+G6zMxM7O3tsbCwICYmhr///vuu2eHqF9iioqIyPfZ2unXrxoIFC0p+/ueX77vx8vIiMTGRuLg4AH744YeS38Jf17JlS3bt2sWlS5coKipizZo199RHu3btWL16NQDHjx8nIiICgLS0NAwGAwMHDmTu3LkcPXr0lufOnj2bF198kfPnzwNQUFDA559/jq2tLfb29iX7bNwu943WrFmDwWAgPj6eU6dO4enpedP977zzTsnslH964YUXePfdd0tmPRgMBj755BPg6qkxK1dePcVw+fLlNy0RKi8dOnQo+d9CbGwsZ86cuSX/nWRnZ99UBLz+v0EAa2vrktk6d3o9bWxsqFu3LuvWrQOuvv7X96Wxs7Nj06ZNvPzyyzf1UR3JDAxRJZ7s3p7Pkt5gfPFsFqeYk27swynLZri57qTp0Noc+SmYnT/E0Hm0912ryIqi4NLLjSU7zvBsygUWdniUzCXLeWd4f0xdXStpREIIIYQQFWty/ZqsOn8ZfSm/aTVWFCbVq3nPbWdnZzNjxgwyMjIwMjKicePGfP3115iYmLB27VqeeuopMjMz0ev1PPPMM/j6+jJ37lxatmxJgwYN8Pf3v+1yiBt169aN6OhoWrduDVxdtvLjjz/eMuOhefPm9O3bl4CAABo0aEBQUNBNp1kMHz6cX375pWSZRmn+OdsDoHv37ixatAidToenp2fJ0pW7mThxIjqdjqZNm5apYPNPn3/+OdOmTUOn06HX6+nQoQOLFi0q8/PNzMz49ttvGTx4MHq9nubNmzN58uSbHuPi4sIbb7xB69atcXFxoWnTphTfw2b3U6dOZdSoUeh0Opo0aYJOp8PW1pbk5GTGjBlTckLMe++9d8tze/bsSWpqKl26dEFVVRRFKVkC8f333zN58mRyc3Nxc3Pj22+/vWMGT09POnbsSGpqKosWLcLMzKzM+XU6HfPnz+eJJ54gNzcXRVHo1asXcPX1Hzt2LB999BFOTk6lZrhfU6dOZfLkyfj7+2NkZMR3331308yL0qiqyocffsikSZMwNzfH0tKyZPbF0KFDmTBhAp9//jlr16694+v5ww8/MGnSJObMmYOxsfFNBSxnZ2c2bNhAjx49+Oabb2jZsmW5j78yKA/aEZSKonwE9AEKgXhgjKqqGdfumw2M4+rSvqdUVf3jbu0FBQWptzsT+UG3a9eukmNzHlbZBXqWfzKT/pmr+DalDbkNPPHyC6emYzTmRc9z7FcvmvVoQKt+jcrcZubes8w+dY5f6pnQ5/AB5vfqgKWvbwWOQghxJ/+FzzEhxMOtMj/HoqOj8fb2vuvjtl+6wvjIBIrUm49SNVKuFi+W+rnS2aHs+xM8qLKzs7GysiI3N5cOHTrw9ddfl5xAMm/ePDIzM5k7d24Vp3z4FBcXU1RUhJmZGfHx8XTu3JnY2FhMTEwqpf/Ro0fTu3dvBg0aVCn9/RdkZWVhbW1d1TFKdbvPP0VRQlRVDfrnYx/EGRhbgdmqquoVRfkAmA3MUhTFBxgK+AK1gW2KonioqirnZ1ZTVqZGdB03lyMLY+nlGMqmJBNOaJpg1TwPxeIzvDu9RchmsK5hhm/7sp3bbduuLh+aGWEbdppvm7cma9shvsrOwb5liwoejRBCCCFExevsYMPOFl4sTrrA2vPpZBcbsNJqGFTLnkn1atLQvGy/7X3QTZw4kePHj5Ofn8+oUaNKihf9+/cnPj6eHTt2VHHCh1Nubi6dOnWiqKgIVVX56quvKq14IURZPHAFDFVV/7zhx7+B6+W3fsBKVVULgARFUeKAFsCtOwqJasOtpjUJA79Es7YvusKThKaYEXq0Ja1a52Hi8j4NmrzN7hWxWNqZ0tDfsUxtWgXVYo6ZEbb74piva8LIY9EszcnG+R43FBJCCCGEeBA1NDflPY96vOdRr6qjVJiffvrpttd//fXXSk7y32JtbU1Vzl4v64aV4r/rQd/Ecyyw+dqf6wA3HpZ79to1Uc111jVkf9B8WtqnUEtzBuViOkeOtKa4GOz95+HYoJg/lkZx4fSVMrdp7ufIM494Mic6nxAPL4adziRx3foKHIUQQgghxL/zoC3tFkKIinavn3tVsgeGoijbgFq3uesVVVV/u/aYV4AgYICqqqqiKAuBA6qq/njt/mXA76qq/nyb9icCEwGcnZ2bXd9ttjq5vu7vv8Kgquw6dJjZ2e+zKLkVVxw9sXQuIDBwO6iunNryLKreGNcuCiZWZTsaCsAsHWLOmPCarzl1L6TwetxRzDqU/47DQohb/dc+x4QQD5/K/ByzsrLC2dkZW1vbMh+DKYQQd1NcXHxfRwNXBlVVyczMJDU1teR0ous6dep02z0wHrhNPAEURRkFTAY6q6qae+3abABVVd+79vMfwBuqqpa6hEQ28aw+MnOL+OnT5xmWs5Kvk9uQXdcT5/oX8HT/C3vb3hxdPgALG1MGvNAMM0vjMrdbmJLDprVRPOdljF3mZZaej6XptMnyjwMhKth/8XNMCPFwqczPsaKiIs6ePUt+fn6l9CeE+G/Iz8+/p5NcKpuZmRl169bF2Pjm73fVZhNPRVG6A7OAjteLF9esB35SFOUTrm7i6Q4cqoKIooLYWhjzyNi32fdVLINqHmNNkhGpWi+sbZoDG2kxvB77vm3G71+F0/fpQIyMy1ZJNHGxpPcT/litiGC6hz0jTPxY9OEntJ/5DMoDWo0UQgghxH+LsbExrnL8uxCinO3atYsmTZpUdYxy8yDugbEAsAa2KooSqijKIgBVVaOA1cBxYAswTU4gefh4utigPLaAfHMb2jjEYXH2FHExHmTn+nEx8ytaDztHSlwm27+LRjWUffaQsaM5nUYE8E2cASNjS8b6t+H3t9/HUFhYgaMRQgghhBBCCFFeHrgChqqqjVVVraeqauC12+Qb7ntHVdVGqqp6qqq6ubR2RPXVo2ljdgZ+iq/1BVwtz2OWepbQEB0G1Y30wrdpPqCAuJAL7P81/p7aNbIzpdUoHd8lgr3BhGmturHmzXcx5ORUzECEEEIIIYQQQpSbB66AIQTAxH6PsLjmKzxmfww7LqBJv8TBA80Ae/LNX8e3kxGhW88QvvPsPbWrtTIhcIyO/6VoqZ+v4flOfVj29ofo09MrZiBCCCGEEEIIIcqFFDDEA8lIq2HimAksNRnOSMe/scxMRp9VyKHDLSkuLsCswbs0DDRnz+pYToVevKe2NWZGeI7y59t0E/yuqMzp+hiff/AZRSkpFTQaIYQQQgghhBD/lhQwxAOrhqUJ7Ue9zW5NM56oGYJl8ilyMk2IiGpLbm4CLi0WU7OBJVuXRXE+IfOe2taYaHF70pel+Ra0SSvmw0cf4+2Fy8iPP1VBoxFCCCGEEEII8W9IAUM80Pzr2VHQ63MyTe3oWisOq9PxpF2oQdK59qRn7MG713osbI3ZtDCcjAu5d2/wBoqRhjpDvflKa0P3c0Us7tybl378hdyIyAoajRBCCCGEEEKI+yUFDPHA69/Sk9995+FqeQlfx0tYJiVwKq4OWdltSL24khbDokCFjV+EkZd1b6eKKBoFpwHufGJXg8FnClnZoQvTN+0i88DBChqNEEIIIYQQQoj7IQUMUS1MH9iNL+xn0936GM6WWZimJhF61A1VDeDs+Y/oMCaD7IwCNn0ZTlHhvZ2uqygK9j3deLueM+PjC/i9ZTsmHIwgbevWChqNEEIIIYQQQoh7JQUMUS2YGGmYOHYii4yG8YTdXqyLM1CuXGT/Pm+MjFxJvvQyHUeakJp4ha3LojAY1HtqX1EUbB9pwEs+9XguJp+/AoIYGX+Rsz//UkEjEkIIIYQQQghxL6SAIaqNmjZmtBo5lx1KEMMcD2B5MRl9Xh779geiKJZcKnyBNoNrkBCWxt41J1HVeytiAFi1qc20Fq68EZFHmLs3T16B+G++rYDRCCGEEEIIIYS4F1LAENVKs4YOZHT7jDSjGvSpHYvVmVPk5Wg4FtqWoqJMiqxfR9fZiYidZwnbnnRffVg2c2ZUZ3c+DM/nVD1Xhps5Ez7/8/sqiAghhBBCCCGEKB9SwBDVztC2Xqzz+AAXswxa1snA+nQ8ly+Zk3C6C1lZx7H1/JJGTR3YtzaOuJAL99WHua8jA/t48UV4PhedajGini8H3/0AVa8v59EIIYQQQgghhCgLKWCIakdRFJ4e0oNPbV+knVkork56LM8mcDrBlqzsR7mY9iduwZtxaWTLtm+Pcy4u4776MWtsT/dBviwOK6DAyp4x/m3Z8cZcDAUF5TsgIYQQQgghhBB3JQUMUS2ZGWsZP3Yyi7RD6W+5E3vzIowvniX0qAMQTNLZJTQbFIu1gxm/fxlO+vmc++rHtL4NHYbrWBZZhImxJZPadGfDq29SnJ1dvgMSQgghhBBCCFEqKWCIaquOnTlNhs9lmxrEUNvdWOalQ3Yae/6qg4lJE+IT36DjmHw0WoUNX4SRk3l/MydMXCxpOUrHt9F6ahhMeKpLf1bOmYv+8uVyHpEQQgghhBBCiDuRAoao1to0duJ8p09J1TrQv1YUVilJFBdls/svT0yM6xJ/5lm6TrQlL6uQTQvDKcy/vz0sjBzN0Y0L4Lt4Fdd8DS/2fJylcz+k6Ny5ch6REEIIIYQQQojbkQKGqPZGdfJjRaP3qWF8hY4NM7FJOEV+fjGHQloBRiSlPU2XsXVJS8riz6VRGIoN99WPka0pnuN0LDurISBT5c0+Q/j0ky8piI8v3wEJIYQQQgghhLiFFDBEtacoCjOf6Mk8q5k0Mw7Dr6ERNonxZKRriEvoRn7+edKLX6H9UFdOR15i98rY+z4SVWtlgus4fxalGdHuYjGf9BrEW0uXkxsWVs6jEkIIIYQQQghxIylgiIeChYkR48ZO5ksG86jxVlxqmmJ+NoGkBGMyswaQmXkEjdMCmjxan+N7znH0j9P33ZfGzIi6Y/z5PNeUnslFLOvWlxd//YOsffvLcURCCCGEEEIIIW4kBQzx0GjgYInv0LlsNQQxwHwLNkZFaC4lEXbUGI2mP+fPr6NWwBbcmzvz97pTnDh4/r770phoqTXClw80lgw9Xcjajt2YvieEy1v+KMcRCSGEEEIIIYS4TgoY4qHSyasWCe3mkaI40d/pGJYZlyjOvcjuXZaYmz9CQuKn+Pc4RR0PO3b8L5qzMfd/kohipMFxqDdzbOyYFFfAHy3bMyEmifOr1pTjiIQQQgghhBBCgBQwxENoYtdAvqv/LtaaK3RvlI7NmTMU6bPYvqM2FuY6YmJfpO1wPXbOFmxeFMGl5Oz77kvRKNj3d+fZOjV5ITqffQFBjEkvJHHJ0vveZ0MIIYQQQgghxK2kgCEeOhqNwqwne/O+xXP4EkpLHwvsEhIoKCxg/8FAjI2diY6dRtcJDhibatm4IIzs9IL77k9RFGx7NGSCdx3mhucR7u7DSOMaxHz8Karh/k48EUIIIYQQQghxMylgiIeStZkxY8ZMYYFhEO2Lt+DmWgPrxHgyM/ScONkNVdUTd2Y63ae4UZCrZ+OCMArz9Pfdn6Io2HSqxxMtGjAvNI/TdRsyqo4Xx956G1V//+0KIYQQQgghhLhKChjiodW4pjWNB89lm6EZvTS/4WBnjmlKAkmJhWRkDCU3N4GUjJd5dIIXl1Ny2PJ1BMXF/27GhFXr2vR9pDFfHM3nkmMtRvu3Ze/LczDk55fTqIQQQgghhBDiv0kKGOKh1t2/NlEtPyQZR/rZH8CqKB81I4ljR/PQakdx+fIe8owXEjzcg6TodHb9GPOv966wbFKTrr08WRyST5GVPRPadWfrrFcozsoqp1EJIYQQQgghxH+PFDDEQ29Gz2Z8XedtzNUsejVKwzr1AkUFF9m5oxBrq0EkJy/Hqv6fNO/VkJgD5zm8MeFf92nu60C7QT4sO5qPmbEVU7oPZt3sOejT0sphREIIIYQQQgjx3yMFDPHQ02oUZo/oyzumT9O46BidAm2wT0ii0HCFP7ZaYmMTzMmT7+Da6hRebVw4vCmR4/vO/et+zRrb0Wy4H9+EFlCz2Jhn+w7jx9ffpvBscjmMSgghhBBCCCH+W6SAIf4T7CxMGDF6GgsNA2mWtxF/XV3s4xMoKMrjrz2NsbT0Jur4szTrV0w9nxrsWn6CM1GX/nW/pvVt8B+jY1lUEY3zNLwyYCRfv/8J+bGx5TAqIYQQQgghhPjvkAKG+M/wqW1D3f5vsq24CZ0KVuFSzwnL0/FkZuZxPLoTRlobIiMn0WmUEzVqW7Ll60gunvn3+1YY17LEc3wAX8cW0zTDwNsDR/DxV9+Se+xYOYxKCCGEEEIIIf4bpIAh/lP6NalHSLMPSVKd6G25E1szY7SppziTeIXL6cPR67OIjp1KzynumFoYsXFhGFmX//0JIkYO5rhODGDBGQi+oOeLvkN4c9V6sv7aWw6jEkIIIYQQQoiHnxQwxH/Oc32CWFjzDYz1V+jjmox1djb6rCSOhlzAyGgyWVnHSUyeTa/p/ugLDWz4Ioz8nKJ/3a/W1pS6EwP4+IKWPslFfP9oP17csZ+M338vh1EJIYQQQgghxMNNChjiP8dYq+Hl0f2Za/wU9XKP0SPIFruzqeQXXWTbtgvY203kYtpWMvK+osdkfzIv5LJ5UQTFRYZ/3bfW0hiXCf7MzTFheGIhv3bsxozweC6sWFEOIxNCCCGEEEKIh5cUMMR/kqOVKUNHTWNhcX+809fRuo0njvFJ5KtZ/L4lH4caAzl95msU6z95ZKQ3505msP1/0agG9V/3rTEzwnmsHy8pFkyNLWBry/ZMupBL0leLUNV/374QQgghhBBCPIykgCH+swLr2eHU53V2FAfSMv1b3HzcqBGXQF5RHjt21cTWti0nTszByT2eVo+5cfJwKn//dqpc+laMtTiO8GGajS0vHc/nb/+mjNPYEvfBR6iGfz/TQwghhBBCCCEeNlLAEP9pj7dwZY/uPZIMjnTVbKSGoz0WZ+LIyLhCRGQrzM1diYicjmc7Pb7ta3P0j9NE/pVcLn0rWg01hngyqrYDb4fnc7yxF2Nd3Imc8zpq0b/fc0MIIYQQQgghHiZSwBD/eS/1b8mnjm+gKcqiT/1TWKkqXDrF6YQLXL70BIpiTHj4BFoNdKShvwN/rThBQnhaufStaBTsHmvMQM9afHwsj6Q6DRjr14bDL87GkJdXLn0IIYQQQgghxMNAChjiP8/USMvLowbwhnYGzleO0reFNbZpmeTnJnH4cALGRk9TUHieyKhpdBnrgVN9a/5cGklq4pVy6V9RFOx6uNIjqB4LjuST7uDMuPY92D1zFsVXyqcPIYQQQgghhKjupIAhBFDL1ozBI6byZfFjuJ7/mU6ddDieTiW3+CJ//HkShxozycw8QtypV+k5VYe5tQmbFoaRebH8ZknYBNcjOLghXx/Kw2Bpz6Tug9ny/EvoL14stz6EEEIIIYQQorqSAoYQ17RwrYHlo6+xsziAgJRF+LcMpGZcEvlks2HTeWrVmsT51HVcuPw1fWYEYChW2bggjPzs8tuvwqpVbVr1dGfpoVysjCyZPnAkv8yeQ2FSUrn1IYQQQgghhBDVkRQwhLjByLaN2Ob9DkkGB9rnr8TZtQF28fHkFeWydZsxTo59OJUwnwJlBz2n6si6lM+mL8PRFxaXWwaLJjUJHOjN0iN51C42YebjY/nhrffJP3Gi3PoQQgghhBBCiOpGChhC3EBRFF4b3IYPbV+Dwiv0co7CxsISk+STpKdncCzUH1vbIKKjX8TS6RRdxvhwPiGTbd8dRzWo5ZbD3McBn2G+LAnJxyNfw2tDx7Fo/lfkHj1abn0IIYQQQgghRHUiBQwh/sHMWMvs0QN5XZlGjfQQHmtpiVVOIYUZcSScSuJC6kBMTWsRFj6JOj4FtB3YmPijF9n3c1z55mhkR+Mx/iwKL6R5psr7j4/m4+9Xkb17d7n2I4QQQgghhBDVgRQwhLiNejUs6DtsKl/p+1L79Ep69WiG47lMsguTOHToOFrNs6iqnrDwCfh2tEPXqS5h25MI216+e1WY1LOmwQQdn8Xo6XxRz8LHnuCN33eRsWFDufYjhBBCCCGEEA+6uxYwFEWxUBTlNUVRllz72V1RlN4VH02IqtXe3Qml82vsLtbROG4+LTu3o1Z8KtmksWXLMZwc55Cbm0Bk5AxaD2yIW6ATe9eeJP7ohXLNYexsSd1JOj5IVOl3rogfu/fjxZAY0n74sVz7EUIIIYQQQogHWVlmYHwLFACtr/18Fni7whIJ8QCZFOzOBve3OGuoQdDlZbjq/HGOTSJPyea39THUqzuby+l7iYufS5cx3tRytWHrt8dJic8s1xxGDua4TNbxRqqGkYmFrO/YladSrnDuiwWoavntvSGEEEIIIYQQD6qyFDAaqar6IVAEoKpqHqBUaCohHhCKovDGkPa8Y/UKan4m3ewOY1fTCZuEeHIKc9i85Qp16owjOfknUi78QM+pOqzsTPn9y3AyUnPLNYvWxpSak3Q8n2PM9JMF7GjehilYkvjOe6gGQ7n2JYQQQgghhBAPmrIUMAoVRTEHVABFURpxdUaGEP8JVqZGvDR6EK+pU7C+eJj+zU2xRIuSeoJLly9x5HBdnBy7cfLkO2Tn76H3jABQYMMXoeReKSzXLFpLY5zG+zNRNeeVqHwO+QYywdmNE7NfQS0s376EEEIIIYQQ4kFSlgLG68AWoJ6iKMuB7cCLFZpKiAeMm5MVPYZOZZG+D44nf6Rf7+bYXc4nNzuOuLhTpKT0xNraj6ioZ9CaJ9Jrmo7czEI2fRlOUUFxuWbRmBnhNNaXJ6yseS8snxg3T8b5tuTY8y9gyC3fWR9CCCGEEEII8aC4awFDVdWtwABgNLACCFJVdVfFxhLiwdPZ25n8Dq/wV7E/9SI/pFOfbtQ6k0lmcRIHDoSg1TyFkZENYeETsK+dT9dxvlw8fYU/l0VhMJTvPhWKsRaHEd70cbFn/tE8kmvXZ3z7Hvz99HMUZ2SUa19CCCGEEEII8SAoyykkTYEGQApwDqivKEojRVGMKjqcEA+ap7p4sbbhmyQb7PFN+gKfNm2oE5vKFU0aGzftoabTXPT6LMLCJ9DA35L2QzxIDE9jz6rYct9sU9FqqPG4J50bO/Hl4Tyy7WsysecQdj7zPEWp5XsSihBCCCGEEEJUtbIsIfkS+Bv4GlgCHABWArGKonSrwGxCPHA0GoW5wzrwlsXLqHnpBJvtwrlR42snk+Twy6+HaNjgHbKyoomKeg6/jrVp0rU+kbuTOfbnmXLPo2gU7B5rTNsmtfn6YB6KpS1TB43h95kvUXj6dLn3J4QQQgghhBBVpSwFjESgiaqqQaqqNgOaAJFAF+DDCswmxAPJ1tyYF0cP4hXDZMxTDtIv0ICVpRXmp0+SU5DDxk2ncXOdxcW0rcTFf0jr/o1wD6rJgV/jiT18vtzzKIqCbXdXmrarz5IDudgYWfDM8EmsfW0u+dHR5d6fEEIIIYQQQlSFshQwvFRVjbr+g6qqx7la0DhVcbGEeLB5OFvzyKCpLNb3wub49wzs2wLrPJXCS9FcvHiRAwfMqVN7OGfOLOHc+dV0HuVDbXc7tn8fTXJseoVksgmuh9+jjVh6IJe6BmNmjZjM/z6cT+7hwxXSnxBCCCGEEEJUprIUME4oivKVoigdr92+5OryEVOgqILzCfHA6qVzIb31bPYW++IUMpceQ/pR83w+mQUniY09SVJSGxxqdODEiTlkZh2gx2R/bB3N2bwogsvnciokk1UrFzz6e7D471y88zW88eQkvlryA1k7dlZIf0IIIYQQQghRWcpSwBgNxAHPAM8Cp65dKwI6VVAuIaqFmd19+aHuG5wrtqNRzPsEde9O3VNXuKQksW/f36jqRCws3IiInEYxp+k9PQCtkYYNC0LJySyokEwWgTVxfcKbhYfzaJUFHz0xlnnrtpCxbl2F9CeEEEIIIYQQlaEsx6jmqar6saqq/VVVfUxV1XmqquaqqmpQVTW7MkIK8aAy0mp478lgXjOdjSH3Mq30G2ioC6R+9AWuGF1mw4at1HR6C0UxISxsAmY2efSeHkB+jp6NC8IozNdXSC5zbwfqjfLlk2P5dLtUzOL+T/DWgTAuff99hfQnhBBCCCGEEBWtLMeotlUUZauiKLGKopy6fquMcEJUBzUsTZg5ahCvFE/ENPlvevrkYOfsjENcIrmaHNas3YGb28cUFKYSHjEZh7omdJ/gx6XkHP5YEklxsaFCcpk1sqP2eH/eOV7IwPN6furej1mnL5Iyf365H+kqhBBCCCGEEBWtLEtIlgGfAO2A5jfchBDX+NWxpc1jU1ii74lF2DcM7NMMK0wwSj5BTn4OG9ZH4uH+HpmZIURHv0x93xoED/PkTNRldv90osIKCib1rKk1ScfLp4oZe6aIje278IzejKQ330ItLq6QPoUQQgghhBCiIpSlgJGpqupmVVUvqKp66fqtwpMJUc0MbFaXc0Gz2Ffsi+3+OfR9chD26XqyMqM4n3qevXvzcXV9lvOp60hMXIBPu9oE9WxI9L4UjvyeWGG5jJ0tcZ6sY0YqPBNXyO5mrZjq1JC4F1/CUFhYYf0KIYQQQgghRHkqSwFjp6IoHymK0lpRlKbXbxWeTIhq6OU+Or5xeZXzxTbUPfYGHQY9Tt2zBaQZYomOjiYhwZtatfpzKmE+58+vp0UfVzxb1uLQhgRiDqRUWC4jB3NqTg5gdLaW147nc9Rbx2Tv5kQ99QyGnIo5EUUIIYQQQgghylNZChgtgSDgXeDja7d5FRlKiOrKWKvhvRGPMNt4FoacSwRmrMCrbQdcT2Rx0SiJPX/toVg/DDvb5kTHzCLzylE6jfCirpc9O3+IIen45QrLprUxwWmijkGY8X54PrGu7kxs14OQ6TPQp6dXWL9CCCGEEEIIUR7KcgpJp9vcHqmMcEJURzWtzXh6xGBe1o/H+Ox+uja8QE3XRldPJjFJ57ffNuHo+Bqmpi6Eh0+msCiZ7pP8sXexYPPXEaSdrbjDfbSWxjiN96OHhSWfheRx3qUuE3sOZd+0pyk6f77C+hVCCCGEEEKIf6ssMzBQFKWXoigvKooy5/qtooMJUZ01a2BP0z6TWabvgcnRJfTvpcPK0hqbUwnkaXJZveZ3GjWaj6oWExo2Ho1RLr2nB2BiZsTGBWFkp+dXWDaNqRGOY/zo4GzLV4dyybV3YsqQsWx/5nkKEhIqrF8hhBBCCCGE+DfKcozqImAIMANQgMFAgwrOJUS1N6xFfU4GvMCBYh8sds6m/+ih2OQq6FOjyMrNYt2vB/D2+oy8vEQiI2dgYaul9/QAivL1bPgijII8fYVlU4w1ODzpTQtXB5YcyMXYwpbpI6excfZr5EVFVVi/QgghhBBCCHG/yjIDo42qqiOBdFVV3wRaA/UqNpYQ1Z+iKLzxWCBfOb3ChWIrnPbPotvI0TinGriUF0FKSgq7d5/H0/NtLqfvJTb2TRzqWNJ9sj8Z53PZsjiCYr2h4vJpNdg/7om/vzNL9uVQw8ic58fMYO3bH5Jz8FCF9SuEEEIIIYQQ96MsBYy8a//NVRSlNlAEuFZcJCEeHmbGWt4f2ZmZ2hdRsy/idW4JTbv3xu1UEec0J4iKiuJkrBMNGkwm+dwKkpK+pZ5XDTqN9OJsTDo7f4hBVdUKy6doFOz6NcKzdV2W7M2hoWrC7HEz+N/CJWRt21Zh/QohhBBCCCHEvSpLAWOjoih2wEfAUSARWFmBmYR4qNS2M2f68Kubehqd2UeHmgnU8wugcXQWF0zOsmvXLvLzuuPk1J2Tce9y8eI2vFq50LKvKycOnufg+lMVmk9RFGwfbYhb5wZ8tTcbXaGWt0ZP5atV68j4+ZcK7VsIIYQQQgghyqosp5DMVVU1Q1XVn7m694WXqqqvVXw0IR4erRs54PXoRL7VP4r28CL6dPXEzrEmdU6cJ8s0k3XrfqOG/fNYW/sRdfxZsrKiaNajIT5tXQjZfJqoPckVntG6Yz3q9WnM5/uyaZcDnwwbz8e7D5K27JsK71sIIYQQQggh7qasp5C0URRlGFc38+ynKMrIio0lxMNnXDtXwn1f4KDBC5OtMxkwZihWqilmZ06Sp+SyctUvNHL7BCMjW8LCJ1JQmEqHYZ7U963B7hWxJEakVXhGq5Yu1H7ck4/+zqFnhsqS/k8wNz6Z1I8/rtClLEIIIYQQQghxN2U5heQHYB7QDmh+7RZUwbmEeOgoisK7A5vyid0rXCy2wm7ns/SaOJka6ZB1OZysnCx++WU7vr6L0OuzCA+fCOTz6AQ/HOpY8sfSKC6cvlLhOS0CauI8woc3QnIZcsHAqq59eClPw9nXX0ctLq7w/oUQQgghhBDidsoyAyMIaKuq6lRVVWdcuz1V0cEURZmpKIqqKIrjDddmK4oSpyjKCUVRHq3oDEKUN3MTLR+N6sJzzMSQlYrryc9oO3g4Dc5CcnEYycnJ7Nh+Al+f+WRlRRMZ9SzGpgq9pwdgbmnMxoXhXEnLu3tH/zanVw2cx/rxwvF8JiQXs7ltJ56zq0PCc89jKCio8P6FEEIIIYQQ4p/KUsCIBGpVdJAbKYpSD+gKnLnhmg8wFPAFugNfKoqircxcQpSH+g4WTHxiEC8XjUV7eg8tLMLxaNUOrxg9Z4xjiIiIIDraCA/3V0hL20Zc/IdY2prSe0YABr2BjQvCyM8pqvCcpm621Jzgz5RThTyfUMSeJi2Z7tWMmGkzKM7OqfD+hRBCCCGEEOJGdyxgKIqyQVGU9YAjcFxRlD8URVl//VbBuT4FXgRuXHTfD1ipqmqBqqoJQBzQooJzCFEhgj1r0rDzBL7Td0Nz8Eu6t6+PUwNXPKKzuWB2jh07dpCV1YK6dUZw5sxSkpNXUsPFkp5T/MlMy+P3r8LRF1X8cg6TutY4TdIx/LyBN2MKCfP0Y2rbbkRMmoI+Pb3C+xdCCCGEEEKI60qbgTEP+Bh4A3gMePfaz9dvFUJRlL5AsqqqYf+4qw6QdMPPZ69dE6JamhrcmIPuz3PI4IVm87P0Hz0YKzNrasYlk22Wza+//oqNzXgcanTgROzrXL68j9ru9nQZ5UNKXCbbv4tGNVT8xprGzpbUnBxA32yFjyIKONWgEZN7DeHIxCkUnTtX4f0LIYQQQgghBIByp5MFFEVpDDirqrrvH9c7cLXAEH/fnSrKNm6/LOUV4GWgm6qqmYqiJAJBqqqmKYqyEDigquqP19pYBvx+7XjXf7Y/EZgI4Ozs3GzlypX3G7XKZGdnY2VlVdUxRAXL06t8sT+Fb4tfwcrMiN11ZxL9+0bOOeoxdW6CtdaaZs180Bp9DFxGo7yMotQmLVolNUzFwQtqBZbpMKF/TZsPtY9oiDDR8mxTM2wy0/ng2y+wfPIJimtV6iozUU3I55gQorqTzzEhRHVXXT/HOnXqFKKq6i2Hh5RWwNgIvKyqavg/rgcBr6uq2qe8QyqK4g9sB3KvXaoLnOPqUpExAKqqvnftsX8Ab6iqeqC0NoOCgtQjR46Ud9QKt2vXLoKDg6s6hqgEcReyeXXh9/ygzEHTsC1RtSexddlXnGhkoLZZC+rVqceQIV04emwwRlpLgoLWYmxcg79WxhK5O5n2QzzQdapbKVkNuUWkfRtF2JUcnmppATlZzPvmCx55aw7m/v6VkkFUH/I5JoSo7uRzTAhR3VXXzzFFUW5bwCjtV7cN/1m8AFBV9QjQsByz3dh2hKqqNVVVbaiqakOuLhNpqqrqeWA9MFRRFFNFUVwBd+BQReQQojI1rmnFmMcHXt3UM3E3/uoBArr2xDNeQ4LmGElJSWzdehSd/2IKClMJj5iCwVBI+yEeNNQ5smd1LKdCL1ZKVo2FMY7j/Ql0tGbJvlxMLWx4euJzbHzjbXIOlFpLFEIIIYQQQoh/pbQChlkp95mXd5C7UVU1ClgNHAe2ANNUVa34XQyFqASP+tbCucN4ftB3QTnwBZ2CHKnr7Yf/cQOJ5rGEhYURFZWLj888MjNDiI55CUWBbuN9qdnAhq3LojifkFkpWTWmWhxH++HVwJ6le7JxNLFg5qTnWTN/IVf+/LNSMgghhBBCCCH+e0orYBxWFGXCPy8qijIOCKm4SP/v2kyMtBt+fkdV1Uaqqnqqqrq5MjIIUVme7erBTtfnOGLwRNkwgz5P9sPa3gH36CtctEhl69atZKQ3opHb86SmrichcQHGJlp6TdVhYWvCpoXhZFzIvXtH5UAx1uAw3As3bye+3p1FI8WUVyY8y/9+WE36mjWVkkEIIYQQQgjx31JaAeMZYIyiKLsURfn42m03MB54ulLSCfEfotUofPpEC962fIm0YgtMN0yk/4xnsCw2wTbhNLnmuaz9eS1mZgNwqTWAhIT5nD+/HgsbE/rMCAQVNn4RRl5WYaXkVbQa7Ad7UK9ZLb7cdYWmxUa8M2Yai7buIW3JEu60v44QQgghhBBC3I87FjBUVU1VVbUN8CaQeO32pqqqra/tSSGEKGe2Fsa8N7ILTxU/iyHzHI4H36Dn1GdxuKwh52IY+eSzcuVK6tV7BTu7FkTHzCIjMwQ7Zwt6TdORnVHApi/DKSqsnNVVikbBrm8jXDrU49PdV+iYr+GzJ8byyfEEUj+aJ0UMIYQQQgghRLm56/mLqqruVFX1i2u3HZURSoj/Mm8XG54YOJBXi8agSdiJR/ZWWg18ArckY04XHibjSgZr1vyCj/fnmJq6EB4+mby8M9Rys6XbWF9SE6+wdVkUBkPlFA8URcH20YY4d3fl/T1X6JOl8E3fx3n7ShHJr7yKqtdXSg4hhBBCCCHEw+2uBQwhROXrF1gHq9ZjWa7vDPs+o423GY2bt0YXY0SsyTHOnDnDn3/uJ0C3FFUtJjRsAkVFV3Br4kS7we4khKWxd83JSp0BYd2hLo79G/PagSsMS4e1nXvyilVNEp95FkNBQaXlEEIIIYQQQjycpIAhxANqdg8vfq/3DEdVD9TfptHj8R441q1PQJSBRMs4jh07Rnh4Kjr/L8nLSyQycgYGQxEBj9QjoHM9InaeJXRbUqVmtmrhguNQL549ks2UVJU/WndkZiMdcZMmU5ydXalZhBBCCCGEEA+XeypgKIrSWVGUPoqiGFdUICHEVUZaDZ8Nb8kc0xe5rDdD+/MYHpv+FJbGljSMTeeSZRp//vknaWkOeHm+w+X0vcTGvomqqrQd2JhGTZ3Y/3MccSEXKjW3RYATjiN9GBeZy0tJxewLbM7TrbsSPW4C+kuXKjWLEEIIIYQQ4uFR5gKGoigfA12AVsBvFZZICFHC0cqUd0Z0Zar+WdTMs9jseZm+z8zCJluLcdJJ8szyWLt2LcbGHWnQYDLJ51aQlPQNikahyxgfXBrZsu3b45yLy6jU3OZeNXAa58fg+ALeidMT7u7N1F6PEzpuIkXJyZWaRQghhBBCCPFwuGMBQ1GUeYqi2N5wqT7wMvDqtT8LISpBQD07BvUbwGtFo9DEb6f+hd/oNGoCdVKNuZB5hHw1n59++gmXWlNwcurOybj3uHhxG0bGWnpO0WHtYMbvX4aTfj6nUnObutriNFFHj/NFfBxdxOm6DZn6xHgOTp5GQVxcpWYRQgghhBBCVH+lzcD4FVilKMoMRVG0wP+Av4FQ4OtKyCaEuObx5vXQBI3hJ30n2PspgXWL8OvUDd94M07wN+mZ6axZsxYvzw+wsfYnMuoZrmRFYmZlTJ8ZAWi0Chu+CCMns3I30zSpY4XTpAA6ZqosCCvkck0Xpo19ir1PP0deWFilZhFCCCGEEEJUb3csYKiquk9V1e5ABrDl2rWWqqoGqKr6eSXlE0Jc83ofX9a5PEOo6o66bhqdewdT28OboCgTjlscIzExkT/+2Im//2KMje0ID5tIfsF5bBzN6T09gLysQjYtDKcwv3KPNTWuaYHT5ACa6zUsPpxHkV0Npk15ka2vvkH23n2VmkUIIYQQQghRfZW2hMRIUZReQCrQH2iiKMp6RVF0lZZOCFHCxEjDFyNaMdv4RdKLTVHWjqTvtGlY2dQg8LiB0zanCAkJISwsgYCApeiLswkPm4hen0PNBjY8Ot6PtKQs/lwahaHYUKnZjWqY4TQ5AD8TE5bsz8HC0ppnp81i47z5XNm8uVKzCCGEEEIIIaqn0paQrANaA92BhaqqvgVMBp5SFGVJJWQTQvyDs40Zbz3ZhSmFT6NmJGGxbSb9n38Zi0IjXOIvkm6VzpYtW7iQaoyf72dkZUcTdfw5VLWYhjpHOjzhyenIS+xeGYuqqpWaXWttgtNEHe72liz5KwtnUwtmTXuRtd/8SPrKlZWaRQghhBBCCFH9lFbAaKCq6qvAS4A/gKqq51RVHQ8srIxwQohbNW9Yg169+vN60UiUuK04n17Fo1OewSFNS2FqFAVmBaxZswbwx8P9VdLSthEX/yEAfh3q0PTRBhzfc46jf5yu9OwaC2Mcx/lTv44tX++4gruRGa9Nfp4fNm0jbdGiSi+qCCGEEEIIIaqP0goYXyuKEgocBD658Q5VVUMrMJMQ4i5Gtm5Anm4kK/XBsOdjvO0zaNFvEI3PmJGQf4D84nxWrFiBo+Pj1K07gjNnlpKcvAKAVv3ccG/uzN/rTnHi4PlKz64x1eI4ypda7jVYuC2D5hjz7tjpLA6N4cL776MaKnd5ixBCCCGEEKJ6KG0Tzy9UVQ1UVbWJqqo/VmYoIUTpFEXh3QE6VtZ8mjDVHcOvk2n7SHPcmjYnKMaKcON9XEq/xJo1a3Bzm42DQ0dOxL7O5cv7UDQKnUd6U8fDjh3/i+ZszOXKz2+swWG4N04BNfl4ewZd9EZ8MWQ0n6blcG72bNSiokrPJIQQQgghhHiwlTYDQwjxADMz1rJgRCte0DxPht4EVo2g5/gJ2NeqQ6soc45bhXHq1Cm2/rkdP9/PsLBoRETkNHJy4tAaa+gx2R87Zws2L4rgUnJ2pedXtAr2gzxwaFWbt3ek81i+lu96D+IdEzvOzHgKQ35+pWcSQgghhBBCPLikgCFENVbX3oI5w7oypeAp1PRETLY8Tf+Zr2KuMcf3RBFJdqc5dOgQoaEnCNAtRaMxJTRsPIWFlzC1MKb39ACMTbVsXBBGdnpBpedXNAq2fdyw71SPl3dnMCpbyy+P9ODVhj6cmjCR4itXKj2TEEIIIYQQ4sEkBQwhqrl27o488uhjVzf1PPkn9ie+p88zs7DKVLA9ncwV6yv8/vvvnD9fiE73NYWFFwiPmExxcQHWNczoNT2Aglw9GxeEUZinr/T8iqJg260h9r1cmb4vg6cua9jasj0vNg8mdsw49BcvVnomIYQQQgghxIPnrgUMRVGeVhTFRrlqmaIoRxVF6VYZ4YQQZTOxgxvpPiNYU9wR/vqQhibJdHxyLHXOmXAp4yhFZkWsXr0afVFdfHzmkZl5lOiYl1BVFad61nSf6MfllBy2fB1BcXHVbKJp3b4uNQa6M/JIJq+kwgG/JjzTYxCRY8dTePZslWQSQgghhBBCPDjKMgNjrKqqV4BugBMwBni/QlMJIe6Joih8OCiA7+2fIpJGGH6ZRLMW3vi074Qu1oqo4j3k66+eTGJr8wiN3GaSmrqehMQvAKjv60CnJz1Jik5n1w8xVXacqWXzWtR4wov+Edm8l6QS1ciDGUPGETp+IvknYqskkxBCCCGEEOLBUJYChnLtvz2Bb1VVDbvhmhDiAWFpasSCka15hufJ1BujrhxO15EjqdXIgzZRNhwx38ulS5dYu3Yt9epNxKXWABISPuP8+fUAeLepTfNeDYn5+zyHNyZU2TgsdE44jvSha1we8+MMJNWpz7RxT3NoxlPkHj1WZbmEEEIIIYQQVassBYwQRVH+5GoB4w9FUayBqpljLoQoVUNHS14e2oVJ+TNQLyeg3TiNfs/NxsrSltZR5kTahxEXF8fWrVvx8noHO7uWHI+eRUbGEQCa93bFq40LhzclcnzfuSobh5lnDRzH+dH6bAFfRRWR4eTM9Gkvseell8n+668qyyWEEEIIIYSoOmUpYIwDXgKaq6qaCxhzdRmJEOIB9IiXM2069+XNoidRYv/AKmIp/Wa+inm+FveT+ZyzT+bvv/8mNDQSnf9CzMxqEx4xhby8MyiKQvBwT+r51GDX8hOcibpUZeMwbWiL00QdAel6lhwtwGBnz9PPvMq29+aRuXFTleUSQgghhBBCVI2yFDBaAydUVc1QFOVJ4FUgs2JjCSH+jaceceec+5P8XNwBdr+PS3Ec3SZOx+GCBiUlnhybHDZu3EhyciaBAUtR1WJCwyZQVHQFrVZD9wl+1KhtyZavI7l4JqvKxmFSxwqnSQF4FsDSA3lYWdnw3DOvsmnJt1xevrzKcgkhhBBCCCEqX1kKGF8BuYqiBAAvAqeB/1VoKiHEv6LRKHwytAmLbWYQRSMMv0zE16cezXo9hkeCBQk5f1NsVszq1aspKLBD5/8VeXmniYycjsFQhIm5EX2mB2BqYcTGhWFkXc6vsrEY17TAaXIADY2MWLI7i7rmFrw04yV+/m0zFxcsrLINR4UQQgghhBCVqywFDL169RtCP+AzVVU/A6wrNpYQ4t+yMTNmwcjWzDA8R1aRFsPKYXQYOIAGuia0Pm5HiGYX+UVXTyaxsAjEy+ttLqfv40TsG6iqiqWdKb1nBKAvNLDhizDyc4qqbCxG9mY4TdJR29qMr7Zn4GNqzhuTnuPHI+Gkvv0OqkG25RFCCCGEEOJhV5YCRpaiKLOBEcAmRVG0XN0HQwjxgPNwtmbm4M5MKpiBeukUmvXT6D3jBexqutAh0o6DVnu5ePEiP//8M7WcB9CgwRTOnVtJUtI3ADjUtqLHZH8yL+SyeVEExUVVVyjQWpvgNNEfJ2crPv/jMq2Mzfhg1BSWpFzm3IuzUIuqrsAihBBCCCGEqHhlKWAMAQqAsaqqngfqAB9VaCohRLnp6e9CYPs+zC0aDid+x+zoVzz2wmuYqSa0iDElukYUsbGxbN++nUZuz1HTqQcn497j4sWtANT1tOeRkd6cO5nB9v9FoxqqbsmGxsIYx3H+2De046PNl3hUMWHh4JHMV8w5M20ahry8KssmhBBCCCGEqFh3LWBcK1osB2wVRekN5KuqKntgCFGNvPCoJ/Guw/nV0AF2vYtDTiS9nnoBq3RwSczkQo0L7Nu3j7CwcHx8PsLG2p/IqGe5khUJgGfLWrR6zI2Th1P5+7dTVToWjakWx9G+2Po48NaWSwwymPBDzwG8W7sxiWPHUZwpewwLIYQQQgjxMLprAUNRlMeBQ8Bg4HHgoKIogyo6mBCi/Gg1Cp8/0ZQvLKYSo7hh+HkCjRrY027ICOqeNebKpUjybfPZsGEDyckX0em+xsTYnvCwieQXnAeg6aMN8G1fm6N/nCbyr+QqHY9ipKHGMG+smzkza+slxhea8FvHbrzWtD3xo0ZTdOFCleYTQgghhBBClL+yLCF5BWiuquooVVVHAi2A1yo2lhCivNlbmvD5iDZMKXqWbL0GdcUwWnR/FM82HWhywobIoj0YTA2sWrWKvDxjAgKWoi/OITxsInp9Doqi0GGoBw39HfhrxQkSwtOqdDyKVsF+oDvWbWozeeclnssxZntQa17s2p8TI0dTeOZMleYTQgghhBBClK+yFDA0qqre+OvMS2V8nhDiAeNXx5anBj7CpPzpqJfiUX6byqMTZ1CzYSOCIxzZZ7qNvMI8VqxYgbFxQ/z8PiMrO5qo48+hqsVotBq6jffDqb41fy6NJDXxSpWOR9Eo2PZxw7pzfYbtvcwbGUYc9NHx3ONjiBg7nvyYmCrNJ4QQQgghhCg/ZSlEbFEU5Q9FUUYrijIa2ARsrthYQoiK0r9JXTxb9eLtomEQsxHjQwvoN/NVLMys6BTpwEHbfaReSOXXX3+lhn0HPDxeIy1tG3FxHwBgbKql17QAzK1N2LQwjMyLVbtxpqIo2HZtgG0vN3ofTOejVA3Rru48Pe5pjk2ZRm5ISJXmE0IIIYQQQpSPsmzi+QKwGNABAcDXqqq+WNHBhBAV55Ve3kTWHcZ6QzvUne9gc/ko/Z5/BbMclcCTxpx0OklMTAw7d+6kXt2R1K07kjNJy0hOXgGAhY0JfWYEYChW2bggjPzsqj/C1Lp9HewHuhMclskXZyDZpQ4zps/m4MxZZO3aVdXxhBBCCCGEEP9SmZaCqKr6i6qqz6mq+qyqqr8qiiKLy4Woxoy1GhY82ZR5plM5qTREXTuOOo4mdB43lRrnwerseS47XGbPnj2Eh4fj3vgVHBw6ciL2dS5f3geAfS1Lek7VkXUpn01fhqMvLK7iUYFl81rUGOZFUGw2i08ayHJ0YsZzc9g7910y16+v6nhCCCGEEEKIf+F+97JQyjWFEKLS1bQ2Y/6INkwsfJZsvYK6aji6dm0IfLQ3HvHmnL1yBL2tnt9++41z587j5/sZlhaNiYicRnbOSQBqN7ajyxgfzidksu3b46gGtYpHBRb+TjiO8sX3TB7LIorQ2Nrz9Mw32b7way7/74eqjieEEEIIIYS4T/dbwKj6bylCiH+taX17JvbtdHVTz4ux8Otkgp8cSz1fHW2jHDnIdlRTlZUrV5KTYyAgYCkajSlhYRMoLLwEQONmNWk7sDHxxy6y7+e4Kh7RVWYe9jiO88M1rZBlR/Kws7bm+Zmv8/sv67n4+eeoqnyECSGEEEIIUd3csYChKMpzd7g9D1hVYkYhRAUa1rI+9Zv14J2iJyBmI9q/P6fPsy9h6+BEtwhndllsJTc/l5UrV6LROKLTfU1h4QXCIyZTXFwAQEDneug61SVsexJh25OqeERXmTa0xWmijjo5Bpbsy6aBhQWzZ7zEL/uPcP6tt1CLq37JixBCCCGEEKLsSpuBYX2HmxXwWcVHE0JUljf7+XLEZRib1LaoO97GPOVv+r3wGqZ6I4Kja3DI4SApKSmsW7cOayt/fHw+JjPzKNExs1BVFUVRaDvYHbdAJ/auPUn80Qt377QSmNS2wmmyjpoGDV/tzMTf3II3Jz7LT4nnOffCC6iFhVUdUQghhBBCCFFGpRUwTgILVFV983a3ygoohKh4pkZaFo1oxrtGU4nXNET9eRxOlsX0mP4clmnFuCcYSHBO4Pjx4+zevRvnmj1o5DaT1NQNJCR8DoBGo9B1rA+1XG3Y+u1xUuIzq3hUVxk7WeA0RYe9mQmf/3GZtmbmfDRyEksKNSRNmYohN7eqIwohhBBCCCHKoLQCRn1gjaIoexRFeUNRlJaKosjmnUI8pFxszfl4eGvG5T9DTpGKunI47gE6Wg8aRt3TWopTE7nieIXdu3cTGRlJgwaTcak1kITEzzl//jcAjEy09Jyqw8rOlN+/DCcj9cEoDhjZmeE0SYd1DXM+/D2NXibmLBr4JPOd6nF6zFiKMzKqOqIQQgghhBDiLu5YwFBV9X1VVR8BegJhwFjgqKIoPymKMlJRFOfKCimEqByt3BwY2bPjtU09T8BvU2k9YAjuLdvQJMaG43n7UO1U1q1bR0pKCl5eb2Nn15Lj0S+RkXEEAHMrE3rPCAAFNnwRSu6VB2OZhtbaBKeJOizrWDNn4wWGGpvz06P9eNevBadGjqQoNbWqIwohhBBCCCFKcddTSFRVzVJV9VdVVSepqtoEeBtwAv5X4emEEJVubNuGOOoe5X39UDj+G8r+z+g+9Vmc6jWga4QLu422gAmsWLGC7Ox8dP5fYmZWm/CIKeTlnQHArqYFvabpyM0sZNPCMIoKHowNMzXmRjiO88OisR3Pb7zAZI05G9o9wpxOvYkbPoLCxMSqjiiEEEIIIYS4g7sWMBRF2X7jz6qqHgd6qqr6aIWlEkJUGUVReH+Ajj2OT7CZNqjb38IkaR/9XngVMxNzukfWZrv1n+TmXT2ZBCwJDFiKqhoIDRtPUdEVAGq52tJ1nC8Xz2Tx57IoDIYH4+hSjYkWx1G+WPg5MH7zBV4sNmdnYAtmDR5F9Kgx5B8/XtURhRBCCCGEELdR2jGqZoqi1AAcFUWxVxSlxrVbQ6B2pSUUQlQ6cxMti0cE8SZTSNA0QP15LLZGufR9djamVwy0OWnHEacjnDt3jt9++w1z84bo/L8kL+8MEZHTMBiKAHALdKL9EA8Sw9PYsyoWVX0wihiKkYYaT3hj0cyZx7dd4O18U454+PL8uKeInDSFnEOHqjqiEEIIIYQQ4h9Km4ExCQgBvICj1/4cAvwGLKz4aEKIqlTfwYIPhrVmdN7T5BYaUFcOp15jNzqNmkiNZAO1zuaSXCuZyMhI9uzZg719S7y93iE9fT8nYl8vKVb4B9elSdf6RO5O5tifZ6p4VP9P0SrYD3THqm1tuu9O49MrJsTWd+XpGbMJfW4mWTt2VHVEIYQQQgghxA1K28TzM1VVXYGZqqq63nALUFV1QSVmFEJUkY4eTgzp1oHJ+dNQL8TA+ukEdO2BrnN3PGJNuZgeRZ5THjt27OD48eO4uAykYYMpnDu3ijNJy0raad2/Ee5BNTnwazyxh89X4YhupmgUbHu7YdOlPm0PXOLLC0akOLvw1Mw3OfTGXDJ+XVfVEYUQQgghhBDXlLaE5JFrf0xWFGXAP2+VlE8IUcWmBjfC0rsbH+mHQNSvKPs/55Gxk6jj5UuHKCcO6XegsdPw66+/kpKSgpvbc9R06kFc3PtcvPgncLVQ0HmUD7Xd7dj+fTTJselVPKr/pygKNl0aYNvbjcCj6SxJUsip4cDTs+ay74svufTtd1UdUQghhBBCCEHpS0g6XPtvn9vceldwLiHEA0JRFOY9HsBW+6H8qbRG3f4m2sS/6PvcbKxsa9ArvB5/mm4E4+snk+Tg4zMPGxsdkVHPcSUrEgCtsYYek/2xdTRn86IILp/LqeKR3cy6XR3sB3ngGZXJNycNaG1teWbWXHau/oULn3z6wOzfIYQQQgghxH9VaQWM678iXaaq6ph/3MZWRjghxIPBytSIxSODeNUwhdOa+qhrx2JRnM5jL7yGcSE8Gl2H7bbbyMnNYdWqVRgMWnT+izExtic8bCL5+SkAmFka03t6AFojDRsWhJKTUVDFI7uZZZAzDsO9qX8qm2/Di3CwtmLm83PYsucA5+e8jlr8YBwHK4QQQgghxH9RaQWMMdf++3llBBFCPNgaOVnx9uMtGZn7NHmFetRVw6lZ25nuU5/FIrWIJokWhNUM4+zZs2zYsAETE0cCApaiL84hLHwiev3VGRc2jub0nh5Afo6ejQvDKMzXV/HIbmbu54jjKF+cU/JYdigPN0tLXp7+Euviz5D83PMYCgurOqIQQgghhBD/SaUVMKIVRUkEPBVFCb/hFqEoSngl5RNCPEC6+daiX6e2TMmfBqnH4bfpeLZqR8v+j1P7lILZhUtcqH2B8PBw9u3bh5WVJ35+n5GdHUPU8edQ1aszGJzqW9N9gh+XknP4Y0kkxcWGKh7Zzcw87HEc749dRiGL9mTRxMqCt8Y/zYrsIpImTaI4+8Fa/iKEEEIIIcR/QWmnkDwBtALiuHX/iz6Vkk4I8cB5posHinsXPi5+HKJ+gf1f0PbxJ3Fr1oImUVbEZR2myKmIbdu2ERMTg6NDMB4ec0hL20Zc3Acl7TTwcyB4mCdnoi6z+6cTD9weE6YNbHCaqMOq0MD8bRkEW1ry8ZMTWGbjzJkxY9CnPzgbkQohhBBCCPFfUNoMDFRVPa+qagCQAlhfu51TVfV0ZYQTQjx4tBqFz4Y0YYP1ULYrrVG3vY6SsIue02fiULse3SPqsUvZgpGdEb/88gupqanUqzuCunVHciZpGWeTfyppy6ddbYJ6NiR6XwpHfk+sukHdgUltK5wm6bDQaHhvSxp9LS35+rGhfOYZQOLwJylKSanqiEIIIYQQQvxnlFrAAFAUpSNwElgIfAnEKorSofRnCSEeZrYWxiweGcSL+skkaeqhrh2LacEF+r3wKiYaE/pGurLJfD1or55MkpOTg3vjV3BwCCY29g0uXd5b0laLPq54tqrFoQ0JxBx48AoCxk4WOE3RYWZpwmsbLjDCwoqVnXvxXofuxA9/koJTp6o6ohBCCCGEEP8Jdy1gAJ8A3VRV7aiqagfgUeDTio0lhHjQedWy4fVBLRiR+zT5hXpY+ST2Nezo/cwsjC8X0iWuNjsddpKVlXXtZBLw8/0MS4vGRERMIzvnJHD1mNZOT3pR18uenT/EkHT8chWP7FZGdmY4TdZh4mjOU+vPM93cmk0t2/N6/yc5OXI0eRGRVR1RCCGEEEKIh15ZChjGqqqeuP6DqqqxgHHFRRJCVBd9A2rTrV1rpuRNRk2NhPUzaOgfSMcR47A7o6fRWQ3RLtGcOXOGjRs3otVaEhCwFK3WjLCwCRQWpgGgNdLQfZI/9i4WbP46grSzWVU8sltprUxwmqjDtK41o387x6sm1uz2a8JLY6YTM2EiOX8frOqIQgghhBBCPNTKUsAIURRlmaIowdduS4CQig4mhKgeZnX3otC1C58WPw6Ra+HAQpr27Itvxy64RxuTe/k06XXSCQ0N5cCBA5iZ1SZAt4TCwouEh0+muLgAAFNzI3pPD8DEzIiNC8LJTs+v4pHdSmNuhOM4P0zd7Xlswzk+0FhzzM2DmU/NJvLpZ7ny559VHVEIIYQQQoiHVlkKGJOBKOAp4Gng+LVrQgiBkVbDF0804WeLIezStELd+hpKwm66TJiGi7snHcKdOJa3B2rC1q1biY2NxcZGh4/PPDKvHCM6ZlbJCSRW9mb0nh5AUb6eDV+EUZCnr+LR3UpjosVxpA/m/o503nyOz4stiatdj2defJPQ198iY+3aqo4ohBBCCCHEQ6nUAoaiKBogRFXVT1RVHaCqan9VVT9VVbWgkvIJIaoBBytTFo0I4tnCSSRr66KuGYNR9jn6Pv8Klta29It0Y7N2PSa2Jvz8889cuHAB55o9aOT2AqmpG0hI+LykLce6VnSf7E/G+Vy2LI6gWG+owpHdnmKkocYTXlgEOdNy23kW55hzwbEmT7/8Lkc+W8ClpUurOqIQQgghhBAPnbsdo2oAwhRFqV9JeYQQ1ZR/XVtefqw5T+Y8TUFhIawajpWlGf2efwVtbjF9YtxYb7UeVaOyYsUKcnNzadBgEi4ug0hI/Jzz538raaueVw06jfTibEw6O3+IKZmh8SBRNAr2A92xalcHvz0X+PaSCfl29jz98nvsX7GG1I8+eiBzCyGEEEIIUV2VZQmJCxClKMp2RVHWX79VdDAhRPUzOKge7Vq2ZEreFNTzkbDhaWo1cqfbpKcwP5dPm0Qn9jrt5cqVK6xevZri4mK8POdiZ9eS49EvkZFxpKQtr1YutOzryomD5zm4/sE8qlRRFGx7uWLTtQFuh9L4LkmDiY01z770Nrt37iXl1VdR9Q/eMhghhBBCCCGqo7IUMN4EegNvAR/fcBNCiFvM6e3LlXqP8IVhMESshr+/wqd9J4L6DKD2SQM1UvOJrxNPYmIimzdvRlGM0fl/iZlZbcIjppCbe7qkrWY9GuLT1oWQzaeJ2pNchaO6M0VRsOlcH9s+btQJv8z3Jw3UtLLkxefn8GdMPMnPPouhQFbdCSGEEEII8W/dsYChKIqZoijPAIMBL2Cfqqq7r98qK6AQonoxMdLw5fCm/GgymD3alqh/vgoJf9F+2CgaBjajaYQV565Ek1M3h5CQEA4dOoSxsR2BAUtRVQNh4RMoKsoErhYHOgzzpL5vDXaviCUxIq2KR3dn1m3rYD/YgxonMlkWXkhjK0tenTaLdem5JE2cRHF2dlVHFEIIIYQQolorbQbG90AQEAH0QGZdCCHKyNnGjC+fDGJG3kRStLVR14xGcyWZXk+9gF1NF3qE12NP0VaMnI3YsmULcXFxWFi4ovP/iry8M0RETsNgKAJAq9Xw6AQ/HOpY8sfSKC6cvlLFo7szy2bOOAz3xvpMNosO5hJkbck7Y6ezwsyWM6NGo798uaojCiGEEEIIUW2VVsDwUVX1SVVVFwODgPaVlEkI8RAIaliD5/sE8WTO0xQW5MOqJzEz0fLYi69hZNAw8LgH64x/wczWjDVr1pCWloa9fQu8vd4hPf0AJ07MKdkE08TMiN7TAzC3NGbjwnCupOVV8ejuzNzPEcfRvphfzGP+7kw621oxf+gYlrp6kzhsOEXnzlV1RCGEEEIIIaql0goYRdf/oKqq7EInhLhnT7ZqQNOmLZiaNxlSwmDDM9RwqUOvp19AczGPnnGubLDeABr46aefyM3NxcVlIA0bTOVcymrOJP3/caSWtqb0nhGAQW9g44Iw8nOKSum5apm52+M43h/jbD3vbr3MAFtrlvUayGetH+HUsOEUxMVVdUQhhBBCCCGqndIKGAGKoly5dssCdNf/rCjKgzuHWwjxwFAUhbcf8+OCyyMsVAdD+Eo4uBi3Js1p/8QobBMK8Dtnzd/Of5ORkcGaNWsoLi7Gze1ZatbsSVzcB1y8+GdJezVcLOk5xZ/MtDx+/yocfVFxFY6udKYNbHCapMNIr/LypguMtrNlTYeuvN9nCPEjRpIXHl7VEYUQQgghhKhW7ljAUFVVq6qqzbWbtaqqRjf82aYyQwohqi8zYy2LRjTjG+1g9hu1QP3jZUjcS/O+A/FuF4x7lBHKpcucrX+WhIQEtmzZgqJo8PH+CBubACKjnuPKlYiS9mq729NllA8pcZls/y4a1aBW4ehKZ+JiidPkALTGWqavS+FZOzs2N23F66OmEjt+Ajn791d1RCGEEEIIIaqNshyjWukURZmhKMoJRVGiFEX58IbrsxVFibt236NVmVEIUXZ17Mz5YlgzpuRMJNWoNurqUSiZZ+k6aQbOro3pGOZEdPYRiuoVcfjwYQ4fPoxWa4ZOtxgTY3vCwieSn59S0p57c2daD2hEXMgF9v8aX4UjuztjR3OcJgdgZGPCk78k84aNPXs8/Zg9bRYxTz3DlS1/VHVEIYQQQgghqoUHroChKEonoB+gU1XVF5h37boPMBTwBboDXyqKoq2yoEKIe9KmsSPTejRlePZTFBXkwaonMVYM9Jv5CmZmFgyIdGdL8UbMapnx+++/c+rUKUxNHAkIWEpxcS5h4RPR63NK2mvStT5+HesQuvUM4TvPVuHI7s7IzvTqchInc3r/ksQnVvaE1Xdj5gtvcvzVOaSvWl3VEYUQQgghhHjgPXAFDGAK8L6qqgUAqqpeuHa9H7BSVdUCVVUTgDigRRVlFELchwnt3fD2D2J6/iRICYWNz2Fdw4F+M19BySpg0Akv1hivxtzWnNWrV3Pp0iWsrDzx9/uc7OwYoo4/i6pe3fdCURTaD/Ggoc6RPatjORV6sWoHdxdaKxOcJuowqWdNh1/O8JWpHQnOtXnm1fcJn/8ZaYu/Ljl1RQghhBBCCHGrB7GA4QG0VxTloKIouxVFaX7teh0g6YbHnb12TQhRTSiKwoeDdJx27MRiBkHYT3BoCbU9vOk8fiomZ3N45EwDfrf7HRWVFStWkJeXh4NDRzw85pCWtp2Tce+XtKfRKHQb70vNBjb8uSyK86cyq3B0d6cxM8JxrB+m7vY0XZ/EMsWGSzUcePrVDzm6fAUX3v8A1WCo6phCCCGEEEI8kJSq+I2foijbgFq3uesV4B1gB/A00BxYBbgBC4ADqqr+eK2NZcDvqqr+fJv2JwITAZydnZutXLmyIoZRobKzs7GysqrqGEJUiNQcA28dyOFr409oTRhhAXPJtPMlae8OLkQc5UhgDrmONjQ91xQ7Ozv8/f3RaDQYDD+hsh1FGYFGCS5pT5+vcmqrikEPrl0UTK2VKhtbmRjAOVzB+ryGgz4wu64lSkEBH37yFvXq1OLKiCdBW/1XyMnnmBCiupPPMSFEdVddP8c6deoUoqpq0D+vV0kBozSKomzh6hKSXdd+jgdaAeMBVFV979r1P4A3VFU9UFp7QUFB6pEjRyo0c0XYtWsXwcHBVR1DiAqzM+YCT3+/m23Wb+JknI8ycRcGKxd+fncOSTGRbGmZiqddcxxOOdCqVSu6d++OqhYTFj6Jy5f/IkC3DAeH9iXtZaTm8vOHIZhaGDHwxWaYW5tU4ejuTjWoZPwaR87h81xo68wEhyIyc/N4e/47tK1fmzqffIzGzKyqY/4r8jkmhKju5HNMCFHdVdfPMUVRblvAeBCXkKwDHgFQFMUDMAHSgPXAUEVRTBVFcQXcgUNVFVII8e908qrJ+C6BDMuagT4/B1aNQGMoovczs7BxcKJneH0O5e1BaaDw999/ExISgqJo8fOdj6WlOxGR08nOji1pz87Zgl7TdGRnFLDpy3CKCourcHR3p2gU7AY0xqp9HWruS+V/yRpqWVky67nX2Hoxg6TxEyjOyqrqmEIIIYQQQjwwHsQCxjeAm6IokcBKYJR6VRSwGjgObAGmqdd38xNCVEvTOzWmoVcznsqfDOeOwqbnMbey5rEXXkNTpPL4cW/WGX7BspYlmzZtIjExESMjKwJ0S9BqzQkLn0BhYVpJe7XcbOk21pfUxCtsXRaFwfBgzTD7J0VRsO3pik23BtiGpPFtnAEva0temzKT34wsOD1yFPq0tLs3JIQQQgghxH/AA1fAUFW1UFXVJ1VV9VNVtamqqjtuuO8dVVUbqarqqarq5qrMKYT49zQahU+GBHDCviNLlYEQ+iMcXopjvQb0nP48nM+i3ykvVpusxtzGnFWrVnH58mXMzGoToPuawsI0wsMnU1xcUNKmWxMn2g12JyEsjb1rTj7wJ3soioLNI/Wx69sI88jLLA7Lp5WtFf/H3l2Ht3We/x9/nyOWDLIdU+Kgw4kdcLhMKzNDVkoK27quXWFtV9r2G3TtvsWt7XiFlJkZ0jjMzBwncWIU65zn94dkmR0HbSX3a5cvWdLRAU890fnoue/n91ffzCsFfVh/5ZWEN2/p6N0UQgghhBCiw3W6AEMIcWRJc9p4/sclPG5cxGz7aNQnv4INpfQdPY6jLrmK1NU+xmzP47PMzzCUwZQpUwgGg6SlFTNk8F+oqp7HsmV3NQoqhp3YnWEndWfR15uZ/8WmNrbeeaRM6ErGxf2xrq3m8Rk+Ts1I5ckLruKfJUez/oorCK5cueeVCCGEEEIIcRiTAEMI0eH65qTy6CUjuK76BnZZ8+C1H0PVFsZecCn9xx1NnwWQujvMsoJllJeX8+abb2KaJjk5p1JYeBfbd3zAunVPNFrnURf2pXBkNtPeXM2q2ds76Mj2jqckl6wrB6FtqeX331RySVY6/z7lbJ487XzW/fhq/PPmdfQuCiGEEEII0WEkwBBCdAqnDc3nyuOLubzm50SCtfDaRDQjzGk3/4Lsnr05dl4XNlQvo6ZPDatWreKLL74AoGePG8jPv5h1659iW9k7ifVpusbJ1w4mvzCdL/6zlK2rKjvmwPaSa0gXulw7BHYHufvTciZ3yeCN8cfzxysns3bSDdR+P7Wjd1EIIYQQQogOIQGGEKLTuONHA8jrO5zbQjfBljnw4S+xORycd8evsdudXLC4P1+FPsPRy8G0adOYN28emqYxcMBv8HrHsmzZPVRW1k+bbLVZOOPmYtKyXHz0t4VUlPk68Ojaz9k3gy6TisAX5eb3y7gzJ4tPh47koZ/cwepbb6Xqww87eheFEEIIIYQ45CTAEEJ0GhZd48nLRjA/9Rj+o18I816A2f8iLTuHc267B1Xp49JVRbyippCWl8YHH3zAxo0b0XU7xUV/xeXqxsJFN+H3b0is05li4+xbhqFbNN5/agG+qlAbe9B5OHqkkX1jMZiKy9/azP/L7sIPfQZwzx0PsfLXD1AxZUpH76IQQgghhBCHlAQYQohOJcNj57mJJTwSuZC5jtGoj++GjdMpGDyUE6+9Eev6Kk7fPIDXXa/jSnHxyiuvUFlZic3mZVjxP1BKsWDhJCKRqsQ607q4OOtnwwjUhPnwmYWEg9EOPML2s+d7yLlpGJrNwmmvb+SJLtks6tqdO+7/I8v+8jg7//rXTj/LihBCCCGEEAeKBBhCiE5nSNd0fn/BcK6pmkyFLSfW1LN6G8NOOYNhp5xO9uIAA3Z5+abLN0SNKFOmTCEUCuF296K46G8EAptYtPinmGYksc6cnmmcOmko5Ztq+OwfSzANswOPsP2sXVxk3zwMS5qdCa+u53lvNhuycrjtwT+z5IWX2f77P6DM5DgWIYQQQggh9ocEGEKITum8Ed248KihXFb9c6KBanhtIkRDnHDNDRQMGsqwuQ4i1btZ23MtO3bs4K233sI0TTIyxjBo4O+pqChlxYoHGo1Q6FXchWMvH8CGxbv49pWVSTN6wZruIPvGYmy5bopfW8d/PVlUpHm59cE/s+CzL9l6969QkcieVySEEEIIIUQSkwBDCNFp3XvGIDJ6DeOX4Rth8yz46E4sVhtn334PKd5MzlzQg4W1s4j0i7BixQq++uorAPLzL6BXz5+wddtrbNz490brHHpsN0ae2pOl329lzicbWtpsp2RJsZM9uQh7j1QK31zHSzYvZkoqv/j1H5m1YAmbf3YLZiDQ0bsphBBCCCHEQSMBhhCi07JZdJ6+YiQzXMfygvUCmPtfmP1v3GnpnHvHr1HBCJcvL+b9wLuk9E5h6tSpLFy4EIA+fW4jJ+cMVq95hB07P2203nHn9qHf6FxmvLuWFTPKOuLQ9onutNLluqE4+2eQ/+4GphippKR4uP3u3/B9WTkbr5+EUV3d0bsphBBCCCHEQSEBhhCiU8tOdfDsxBL+X+AiFjpHoT66EzbNJKdXH07/yW2YWyq4aGMxL5gv4M3z8u6777J582Y0TWfwoD+TljaMJUtup7p6UWKdmq5x0o8H0a2/l6/+t4zNy3d34BHuHd1uIWviYFzFXfB+vJGXqp0UpLj51a338Tk2Nkz8MZEdOzp6N4UQQgghhDjgJMAQQnR6w7t7eejcIiZW3kClLQdenQjV2+g/7mjGXXgZ7uVVHFvehzc9b+JKcTFlyhSqqqqwWJwUFz+H3Z7FgoU3EAxuS6zTYtM5/aYivLluPn52Ebu21HbgEe4dzaqTedlAPGPycH+9hf+UWRmS5uGhybfyRUAPPwAAk9BJREFUXk4BG668ivCmTR29m0IIIYQQQhxQEmAIIZLCZWN6cMaYQVxWfQvRQFVsZpJomAkXXUHf0ePoPdcgt9JOaW4pkUiEKVOmEA6Hcdi7MKz47xiGnwULJxON+hLrdLhtnPWzYdgcFj54egG1FaEOPMK9o+ka3vP7knJsAfbSMp5fazLBm8ofr5jEK0WjWH/FFQRXrOjo3RRCCCGEEOKAkQBDCJE0HjpnCK6CYu6K3AibZ8Ind6PpOqf/9HYyuxZwzNxMdlZvZGufrZSVlfH2229jmiYpKQMoGvoktbUrWLLkFyhlJNaZmunkzJ8NI+SP8sHTCwgHoh14hHtH0zTST+9F2qm90Obu5ImFQc7ISuPpsy/hnyedxfqrJuKfO7ejd1MIIYQQQogDQgIMIUTScFgt/O2qkXxnP5optgtg9r9gzn+xu9ycd9cDWHUrFy8ZyA++77AMtLBs2TK+/fZbALKyjmNA/wcp3/UVq1b/sdF6s7unctqNQ9m9zccnzy/CMMyOOLx9omkaaSd0x3tuIeayCv7fjBouz8ngv8edypOXXsv66ydRG/8bCCGEEEIIkcwkwBBCJJX8dBfPXDGSB30XssRZgvroDtg0C29uHmf94m4i5VVcuXYErwVew9vHy7fffsvixYsBKCi4iu4F17Bp07/YvPmlRuvtMTiLE64awKZlFXzzwnKUUh1xePssZXxXMi4dgLGumru/qeDm/CzeKhnPH268jXW33ErV++939C4KIYQQQgixXyTAEEIknbF9srjnzCFcUXkj1bZseG0i1GynZ9Fwjv/xJLTVuzh7+1BeUC+QmZfJO++8w5YtWwDo1+9esrJOYOWqh9m167tG6x00oSujz+zF8ullzPxgXUcc2n7xjMgh68rBRLfWcuPHO7i3Ww6fDyjiwTseYO29v2b3Cy929C4KIYQQQgixzyTAEEIkpWsm9OLEEQO4vPpnGP6KRFPPEaedzdATTiFrXg3DKvN5N+VdnG4nr7zyCtXV1WiahaFDHsfj6ceixbdQW7uy0XpHn9WbgRPymf3hepb+sLWDjm7fuYZk0eXaoRgVQS5+Zwt/LMijtHsf7nngT6z5y/+x88mnkm50iRBCCCGEECABhhAiSWmaxu/PL4LcIn5l3AibpsOn96BpGidd/xO69h9E8Ww79powc7vNJRgK8sorrxCJRLBaUxhW/HcsFhcLFk4iFC5vtN7jrxxA98GZfPPSCjYu2dWBR7lvnH29dJlUhBmI8qPXN/BMtzyWZOfzy4ceZeULL7H9t79FmcnT50MIIYQQQgiQAEMIkcRcdgvPTSzhc/1oXrefD7P+AXNfwGqzcc4v78WVmsaZC3qwunoZFf0q2Lp1K++++y5KKZzOrgwrfp5weBcLF96EYQQT67VYdE6bPJTMrh4+eX4xOzfWdOBR7htHjzRybiwGpRj3yjr+lZ/HJm8Wt/3mLyz75HO23nEnKhzu6N0UQgghhBCi3STAEEIkte6Zbp66fAT31lzAcvdI1Ie3w+Y5eLwZnHfHrzFqA1y1ajif136Ke7CbxYsX8913sd4XaWnFDBn8F6qr57F02V0oVT8qwe6ycvbPhuFwW/ngmQXU7A62tgudli3PQ85Nw9AcFga/vIaXcnKoSknl1ocfY+HcBWz66c8w/f6O3k0hhBBCCCHaRQIMIUTSO6ZfNredOpjLdt9Ija0LvHoV1Gwnt09ffnTzrUQ27OTSLSW84H+BLn268PXXX7N06VIAcnJOpW/hXezY8SFr1z3RaL0er4OzbhlGNGzy/lMLCPoiHXF4+8Wa5SLnpmFY0u30eGkNr3izwe3mF/f/idmbt7HxuusxKis7ejeFEEIIIYTYIwkwhBCHhZuPK2T80H7xpp674fWrIRpm0FHHMfrci3AsKufkikG8wAtk5WXx9ttvs23bNgB69LiB/PyLWb/+abaVvdNovVldUzj9piKqdvj5+NlFGJHk6x1hSXeQfeMwbLlusqes5jVnJl63izvufJipEdgw8cdEtu/o6N0UQgghhBCiTRJgCCEOC5qm8eeLhxHuMpT7zRthYyl8dh8AR182kT4jR9N9VoievnQ+SvsIh9PBlClTqKmpQdM0Bg74DRnecSxbdg8VlbMarbtgQAYn/ngQW1dV8uX/lqHM5JvFw+KxkT25CHvPNFLeWMMULY0eKW7u/dldfJmZy4YrriC8YUNH76YQQgghhBCtkgBDCHHYSHFYeW5iCe+bR/G283yY+TzMewldt3DGLXeQkZvPMbMzCPgqWNpjKYFAIDEzia7bKSr6Ky5XNxYtuhm/f32jdQ8Ym8e48/qwatZ2pr+7tmMOcD/pTivZ1w3BOSAT+zvreNHvojjNw4PX/JT3Bxaz/oorCcZLa4QQQgghhOhsJMAQQhxW+mSn8JdLh3NH5QWs8oxEfXAbbJmDw+3h3DvvRzPh4iUDmVc9m8CgAFu2bOH9999HKYXNls6w4n+glGLBwslEIlWN1j3y1J4MOaYrcz/dwOLvtnTQEe4fzWYha+IgXMOy4ZON/H2njWMyUvjTRT/mlWNPYcOPr8Y/a9aeVySEEEIIIcQhJgGGEOKwc8rgXH560kAu2XUDPlsWvDoRaneQ2bUbZ916F6Gy3fx44xjerX4X7xAvCxcuZOrUqQC43b0oLn6WQGATixb9BNOsn2pU0zSOvaw/vYqy+G7KCtYtLO+oQ9wvmkUn89IBeMbmYXyzmSfXK87JTuevPzqXf1xwJRsmTabmq687ejeFEEIIIYRoRAIMIcRh6Rcn9WPEwL5cWfMzTF85vH4NGBF6DS/hmCuvwVxexgW7RvJv/7/J7ZPLl19+yfLlywHI8I5m0MDfU1E5nRUrHkSp+p4XukXnR5OGkt0jlc/+sZjt66s76Aj3j6ZreM/rS8pxBUSml/G7xUGuysvkhfHH88Skn7Ph5z+n8p13Ono3hRBCCCGESJAAQwhxWNJ1jf+7dDhV3sE8xI2w4Qf47NcAjDrrfAYdcwJpM3cxprYPL+ovkpWbxZtvvklZWRkA+fkX0KvXT9m67TU2bvx7o3XbHBbO/OkwXKl2PnxmAVU7A4f8+A4ETdPwnt6btNN6EZ5fzt0zq7mlIJt3ho7kj7ffz8b7fs2u//yno3dTCCGEEEIIQAIMIcRhLN1l47mJo3gjchTvu8+DGc/C/ClomsYpN/yMvMJ+DJ2hk+G381XWV9gddqZMmUJtbS0AfXr/gpycM1m95hF27Pi00brdaXbOvmUYpqH44OkFBGsjHXCEB0ba8d3xnldIaHkFN3y9i/t75vFF7/48eP8f2fCXx9nx+OONRqEIIYQQQgjRESTAEEIc1gbkpfLIRcXctvsC1qaMgPdvha3zsNkdnHPHfTjcHk6fX8DWmo2s77Men8/Hq6++SjQaRdN0Bg96hLS04SxZejvV1QsbrTsjz8MZPymmZleQD/+6kGjY6KCj3H8p47qSeckAQuuruOijbTzauyszcgv41W8eY/3/XqTsoYdRRvIenxBCCCGESH4SYAghDntnFXflumP7c1H5jfhsGfDKVVC7k9TMLpxz+71Eqmr48eqRfF/1HVqRxqZNm/jggw9QSmGxOCkufha7PYsFC28kGNzaaN1d+3o5+drBlK2r4ot/L0WZyTtSwT0ih6yrBhMp83Hy25t4rk83lnu78MvfPc6ajz9lyy/vwAyH97wiIYQQQgghDgIJMIQQR4S7Th3AoL69uar255i+nYmmnl37D+SUG24huHYbE7eP55XKV8gtymX+/PmUlpYC4LB3YVjxPzAMPwsW3kA06mu07r4lORx1YV/WzNvJD2+u7oCjO3Bcg7Pocu1QjIoQo15dz397dWNLShq3/e5xVsyey+abbsb0+fa8IiGEEEIIIQ4wCTCEEEcEq0XnqctHsiNlEL/TboANU+HzBwAYctxJlJx5Lvq8rZxaM4znfc+T3yefzz77jJUrVwKQktKfoqFP4fOtZMmSX6BU43KKYSd1p/iEAhZ8uYkFX2465Md3IDkLvWRPLkIFowx4aQ2vdO9GrcvNLx5+jEUbt7Dh2uuIVlR09G4KIYQQQogjjAQYQogjRqbHzrNXlfBi8Cg+8ZwH0/8KC14B4Ngrr6Nn8Qi6TathUKgbr9heoUtOF9544w127NgBQFbWsfTv9yDlu75i1eo/NFq3pmkcdXE/+gzPZuobq1gzd8ehPrwDyt49lewbiwEoeGElr+V3xeJ0cdu9v2duMMKGqyYSic/YIoQQQgghxKEgAYYQ4ohSVJDO788v4me7LmBDal1Tz/noFgtn3Xo3adk5TJiZiuYPMzVnKjabjZdffhlfvGyioOBKuhdcw6ZN/2bz5pcarVvXNU65bjB5vdP4/N9L2bamqiMO8YCx5XrIuakYzWkl838reL1LDlluJ3fcdj+laZmsv+IKQuvWdfRuCiGEEEKII4QEGEKII85FJQVcMb6QC3beQMDmhVevAl85zpQUzrvzflQkysVLB7GyZjk7BuygpqaG1157jWg0CkC/fveSlXUCK1c9zK5d3zVat9Vu4YyfFJPidfDRXxdSud3fAUd44FizXOTcVIzF68D1wgpeTelCnxQX99xwO1/1HcyGK68isHhJR++mEEIIIYQ4AkiAIYQ4Iv36zMH07tmLH9feglm7I97UM0pWQQ/OuOUO/Fu2c93m8Xyy+xM8wz1s2LCBjz76CKUUmmZh6JDH8Xj6s2jxLdTWrmi0bleKnbNuGQYavP/UfPzVyT1zhyXNQfaNxdjyPOgvr+Qli5cR6R4eunwS748/jo1XX41vxsyO3k0hhBBCCHGYkwBDCHFEslt1/nrVSDY4B/JHyw2w/nv44kEACkvGcvSlEwkt3sQlVeP49+5/U1BcwNy5c5kxYwYAVmsKw4qfx2Jxs2DhZELh8kbr9+a4OfOnxfirwnz4zAIiIaPZPiQTi8dG9qQi7D3TiL6+in+GPJyQmcqfz7qEV865mE2TJ1PzxReEN25k28MPs6JkFDk33cyKklFse/hhwhs3dvQhCCGEEEKIJCcBhhDiiJWT6uRvV5Xwb98Evkg9F0qfhoWvAzDmvIsZMP4Y3KVlHB0axPP+5+nWpxuffvopq1fHpkp1OrsyrPg5wuFdLFx4E4YRbLT+vN7pnHL9EHZurOGzfy7BNNUhP8YDSXdayb5uCM4BmYTeXcOTu22cn+Plb8eeyt+vvZlNt/yc766+jgfxcPpvn+Skv77E6b99kgfx8P11k6n97rs9b0QIIYQQQohWSIAhhDiilfTM4MGzh3DTzgvZnDYc3rsFti1A0zROvflWcnr2YdA0RX4onTcdb5LZJZPXX3+dnTt3ApCWVsyQIX+huno+S5fdhVJmo/X3GZ7NMZf2Z/3Ccr5/dSVKJXeIodksZE0chGt4NsFPN/D7jSbXdM3ipeHjuOund3P93b/jwwnH43e5UZqO3+XmwwnHc/0dD/Pm3/4pIzGEEEIIIcQ+kwBDCHHEu3JsD84v6cV5O24kaEuDV64C3y5sDifn3nkfNruD0+d3o9q/m3nd5mG1WpkyZQp+f6xBZ072qfQtvJMdOz5k7brHm62/6PgCRpzSg8XfbmHeZ8l/Aa9ZdDIvGYBnbB6+b7dw19IAl2xZy+whwwg5nBhWa6PlDauVoMPJg1f/hPmvvN5Bey2EEEIIIZKdBBhCiCOepmn89ryhdC3owTX+W1E1ZfDGtWBESeuSw9m330NgVyVXrx3F7MpZ1A6ppaqqitdffx3DiPW26NHjBrrmX8L69c+wbdtbzbYx/vxC+o3KofTtNaycVXaoD/GA03QN73l9ST2+AP+M7USrHWhm230+IhYL/wprh2gPhRBCCCHE4UYCDCGEAJw2C3+7qoSV1v48Zr8R1n0LXz4EQMHAIZx0/U3UrtzItbuO462db5FVksW6dev45JNPgFgIMmDAw2RkjGfZ8nupqJzVaP2arnHS1YPp2s/Ll/9dxpaVFYf6EA84TdNIP603aaf14tN+XVG6pc3lDauVT0ZNYNZHn7J663a2hyJURw3Cppn0pTVCCCGEEOLgs+55ESGEODJ087p4+ooRTPxnhFFdNnL8tKcgfzgUXUTxSaexc8M65n/6IWedMJrnyp/jtuLbmDVrFtnZ2YwZMwZdt1M09Blmz7mIRYtuZlTJG7jdvRLrt9h0Tr+piLf+PIePn13EBXeUkNnV02HHe6CkHd8d/1fle14QCDqcnI0TVmwDtiUetwBOi45L13FZdJy6hsui49Z1nPHHEo8nlok/rms448smHo8/1njZ2Gt1TUaBCCGEEEIkIwkwhBCigQmFXbjn9IFM/vBCvs1ZT9d3fwbZAyCviON/PJldmzdhmbqMYSf25vng81zX+zo+/vhjunTpQp8+fbDZ0hlW/Hdmz7mIBQsnMarkTWy29MT6nR4bZ/1sGG8+Mof3n57PRXeNwuN1dOARHxhuw8RnbXsEBoDTMHnMa6Vy5Sqq12+gdts2ghYrIaeTaLduGF0LMHJzCXvSCSgImibVhsH2cISgaRIwFAHTJGiahPZxVhdHoxCkpUBExxkPO1wtPdYkPHE1Cljij1l0bJqGJmGJEEknuitAzfdb8M/bQWFIZ8vX03CPyCH1mG5Ys1wdvXtCCHFE0w73YbujRo1Ss2fP7ujd2GvffPMNxx9/fEfvhhBHJKUUP39lPtMXLmWq92EcDifc8A24M/FXV/HSvbcTiYR4e/wm3CleTi47GV+tj8mTJ5OVlQVAReUs5s2biDe9hOHD/42u2xttY+fGGt56bC7eHBfn/3Ikdmdy58k/e2Em73S1EdVbv2C3morzt0T4fe9uoIGmgTIMIps3Elq7ltCaNUS2bgHTRLPbcBT2wdGvH84B/bDm58XCAF0DDdA0TA2CKIIoAkAIRQBFEAgqk6Aifl8RVIpA3WPKJKAUQVPFbpUZ/z1+a8ZDElUfmJitHlXrdNiHQKR+9End/aajUhouWzfSxCJBiRAHRGDFbna/uAxlmDT6D1+PNzC+ahCuAZkdtn9CCLG3kvW6UtO0OUqpUc0elwCjc0rWN5oQhwt/OMoFf51Gl8qFvKA/jNbrKLjyDbBY2blxPVN+fQfOvCyeGzSTcdkT6LGkB263m0mTJuFyxb6h27btbZYuu4Ou+ZcwcODvm30bv2HxLj7860K6D8rgjJ8UY7Ekb1ui6Q9P5bIJHoLW1i+knVHFK9N8FASS698dBUQ1CFogaNEI6bHboBWCVp2gBUIWjZBFSzwesmgEdY2QFYK6Flum7nU6hPTYbUCPPx7/CbcRALXFrsCZ+NFwErt1AQ40XAqcxB9Hw4mGK37r1MCl6bHnNB0XsfsOPbaMS9Nw6hpOTceugW7REyGSptUHSujU348HTbH79Y9pdcs2vd9o+fplNL3h+hsuX7f9BuvTtEbLa3rdc3WPISNiRJuiuwJsf3wuKtJ6ZKnZdHJ/MVJGYgghkkayXle2FmAk91d+QghxkLjtVp6bWMLZTwV4wnkjv1j7FHz1GzjlN2T36MXpP72d9/7yeyZnHssz2ldcNewqKmZW8MYbb3DFFVdgsVjIzz8ff2A969c/jdvdi549b2y0jZ5Dszj+igF8/eJyvn15BSdcNTBpL7C6mzp/WhDg7mEuojqNRmJYTYXVhD8tCNDd1Ml/aAyYCqUApWIJgVIos8F9U6GUIlK2ncD8+QTmLySwcBFmdQ1oGrZuBbiGFuEsGopj4CB0lzuxHlRsFA1mK+tW8W2bqsnyDV7f4LWJ5RssU//6uvtNXt/gOBLrMxUYDZ6L72Ns3bFlTWUSIDayJKQRGyGiKYIasZElQCB+PxS/DWjxEESLByFag991qI7fxoKSWAATsIDZ3veaAuITzOhK4TDAaSicJjgMhdMAhxm7dRoKhxl/3qDJ7/XLOFt43NHgcYcR64tywLUWjiQCjwb3GwQxjcMRGoc3DcOXBss0HTHUPKype23z8KbRtvTmQVHj8KjuWFoKiloKgpoERU2DpUbhTwvbTxxb079lS3/XpqFWC3/XZvdb+LseIjXfb4mNvGiDMkxqvt9Cxnl9D9FeCSGEaEgCDCGEaEXPLA9PXD6C6/4TZVTuBo7+4QnIHwZDL6Tf2AmMv+hySt+YwpXHHceL21/ktjG3sWb6Gj777DNOP/10APr0/gV+/zpWr3kEl6sXOTmnNtrG4KO7UrM7yOyP1pOa6WT0mb074lD3m3tEDkfN3MYr03y81NPOR11t+K3gjsIZWyNcuSFMQUjhHpOPvhflMrbs3riLesPE81GmSWjVKnzTSvGVTqPqvf9S+WoAdB1n0VA848bjGT8e18gR6Hb7nld+BFNKEakrozFMAqYZu232YxCMKgKm0ejxYLzMJva7mSi7qal73IyV5gRMRWgfR3raAacWHy2i1Y0WaTh6hPjvdaNMGowwUeBQxJYzG4xMiY9ScZngUBpOpbCbCk1pjYOlpiFW08CtxQCucWCmTAVG0wCs5VCtceDVQkDWLIBrHJAd9hqGJa2N6mka7LRjxE/TUTzhDdV7/nua4J+3QwIMIYToIBJgCCFEG04YkMPtJ/fn2s8vYmruBnLf/Rl0GQB5Qxl/4eXs3LCeNd/N4MQfDefpnU9zW/FtzJgxg5ycHEpKStA0jcGDHiEY3MqSpbfjdE4hLa240TbGnN2bmt1BZr6/jtRMJwPH53fQ0e671GO64Z+znYKAyd3LQ9y9PNRsGc2mk3pMt33ehqbrOAcMwDlgAFnXXoMKhwksXBgPNErZ9Y9/sOu559CcTtwlJXgmjMc9bhzOQYPQ9OQtzzkYNE3DrmnYdUhrR/PV/WE2CUqCZstBSH0g0sKypiLYYJmKJg1dA4ZJQJkYLV187uH/eg0aNXR1N+gzkuhHorfS5NXSsK+J1mTGnPqGrnWz6Vj3sURoT1oeAdRC2NJsBFGTAKWVkVA0eH2jdSeCnpaCnZaCoNZGILUS7DRcdwsjoZou03jkVDuCoSahVHvDIBUyUIaJlsRlf0IIkaykB0Ynlay1SkIcjkxTceOLc1i0fAXfpT+E3emGyV+DO5NwMMCU+++ketdOvjmuht2OAFeFrmLLhi1MnDiR3r1jIypC4XJmz74Q0wwxetRbOJ1dG23DiJp88PQCtq6s5KyfDaP74ORrEtfRze+M2lr8M2fhm16Kv7SU0KrVAFi8XtzjxuEZPx7PhPHYu3c/aPsgOlakrgFrPOzwtxqImASN5uFJbBlVP7KkhWXrRpzsC5umJabz3XMg0iRAabKsu7Xmr3qsf0mylqN1pC0PTkOFDDa7NF7sZefjrjb8FnAbcPrWCFetDyd6+Gh2C47eaTgKvTgKvdjyPbHyGSGE6GSS9bpSmngmmWR9owlxuKoJRjj3mR/o6V/Mv9RDaL2PiTX11C1U7SjjxXtvx5bi4n8jllKQ3pMJmyYQ8AeYPHkymZmxi/ba2pXMnnMxLlcBJSNfxWpNabSNUCDK24/OoXpXkAvuGEmXgtSOONT90nD6QTMURXdYO2z6wciOHfinT0+M0Ihu3w6ArVs3PBNi5SbuceOwZiZfWCQ6Vt2oksYhR7yUJh5y+BuW17QRiLQUnjQMYaL78DFNg3i4oTUJRGKPNQ5P6keK7Ck8qRuV4m6wvoM1qqQjVLyzms/W7ODu4jZ6+SwMcGJGKtYsF6E1lUR3BADQXFacfdJx9I0FGtZsl4RIQohOIVmvKyXASDLJ+kYT4nC2ekcN5z79Az9Jm8pPa5+Co2+Dkx8CYOPihbzx/35N2sDePNnza07LPY2shVmkpKRw/fXX43Q6Adi16zsWLJxEZuaxDCt+Dk1rPHy/tiLIG3+aA0px4d2jSM10HurDPGA603lMKUV43Xp8pdPwlZbinzETs6YGAMfAgYnRGe6SEnS3u4P3Voh6kSZBSSBePrOn8KS1QKT5aJL6Mp19YYvPUtM87IgFJe4m4UlLgUhrUwY3GnlyCEaVrN5axclL1xK0tL4dp6H4YnAf+nZNB8CoDhNaW0lwdSWhtVUYu4MA6Kk2HIVenPERGtYkPpcLIZJbZ/o8tjckwEgyyfpGE+Jw98niMm56cQ6vdn2Fsbvfg4v/A0POB2Depx/w1b+exXFUf55L/5wbCm6g4ocKCgsLufzyy9HjfRg2b36JFSsfoHvBNfTvf3+zbZRvruXtR+eQkunkgjtLcLiSs11RZz6PqWiU4NKlidEZgblzUZEI2Gy4hw/HPT5WcuIqKkKzJuffX4i9oep6lTQIO5r2JGmxT4nRJFRpOPrEaHl9kX387OnaQ0+SZsFIs1IbrckyDUap6Dp/XLeN17btJtrGPliBid2y+EP/lkvRoruDhNZUElpTSXBNFWZNGACL1xErN+nrxVmYjiXNsU9/AyGE2Fud+fNYWyTASDLJ+kYT4kjw50+X8/evlzMt7zG6+FbDpC8gdwhKKT7/+9Ms+vJTqk/tzluWqdydfzerp61m/PjxnHpq/QwkK1f9jk2b/s2A/g9TUHBVs21sWr6bD55cQNf+Xs762TAs1uRrFpdM5zEzEMA/Zy7+6aX4ppUSXLYMlEJPScE9ZkxshMb4cdgLC2VYuBD7qW5USX2pTUuBSMtNXps2dA02CU8CDQKVgNn2lKj7KtWis+rY4j0up5QiujOQCDRCa6sw/bF4xJrtivfPSMfRx4vFYzso+yqEEMn0eayh1gIM+VpJCCH20u2nDGDRlmrOXXMj36Q9hO2VK+GGr9FcGZx03U3s3rIJ69erGXPKYJ7c+SS3Ft9KaWkpOTk5jBgxAoB+fe8h4N/AylW/weXqTlbWcY220X1gJif8eCBf/mcZX7+wnJOuGSQXzgeR7nKRcvRRpBx9FADRigr8M2bERmhMn07tV18BYM3OjpWajI/10LDl5nbkbguRlGy6hk23kMrBnQFHKUWo0ZS/jctn/E3Kan61cnO71ltjmHxaXsXodA+ZttY/Smuahi3HjS3HTcr4rihTESnzxQONKvxzd+Cbvg0AW76nPtDonb5X000LIcSRREZgdFLJmpQJcaSo9Ic55+kfGBBewvPmQ2h9joMrXgPdgr+qkhfvuQ1DGbw3fgumy8olvkvYsnELV199NT179gQgGvUxZ+6lBAKbGFXyGikpA5ptZ/ZH65jx3jpKTu/JuHMLD/Vh7pfD6TwW3rw51jujtBRf6XSMigoA7H361PfPGDMGS2ryNV4VQsT0/W4htcbejdro73YyzuthTLqHsd4UChy2dofNyjAJb6lNBBqh9dUQNUEHe7fURKBh75mGbj+4YY8Q4vCVrJ/HpIQkySTrG02II8nSrdVc8Lcf+GXGD0yufgqO+SWc9AAA29eu5pUH7yalII/nBs1gaGYxw9cOJxgMMnnyZDIyMgAIBrcya/aF6LqNUaPewmHv0mgbSim+eXE5S3/YxvFXDmDIMd0O+XHuq8P1PKZMk9DKlYn+Gf7Zs1GBAOg6rqIi3BPG4xk3HteI4eh2e0fvrhCinW5bsI5Xyysx25hZRTcVF2d5ubxXNjMqfcyoqmVWlY+aePDR1WFjbLqHMd4UxqV7GOBxorc30IiYhDZWJwKN8KYaMBVYNOw90nAWxmY5sRekoiVhWaEQomMk6+cxKSERQogDbHDXNP50YTG3vmIwstt6Sr5/DPKHweBzye3Tl1NvvpUPn3iEG7JO4AnzE3oM7oFztpMpU6Zw/fXX43A4cDq7Mqz4eebMvZyFC29k5IiXsFjqu9VrmsaxVwygtjLEt1NW4vE66FXUpY29Egebpus4Bw7EOXAgWdddixkOE5g/PzFl667n/86uvz2L5nTiHjUq0T/DMXAgmi4XHUJ0VuOWB3kjE8w2/jO1mDBhZZBxw1MY500BcjGUYrkvyPTKWmZW+Sit9PH2jkoA0q0WRqd7YqFGuofhaW4crZwHNJuOMz5zCYAZMgivryK4porQmkqqv9wIX2xEs+nYe6fHAo1CL7auKWiH0XS2QgjRFhmB0Ukla1ImxJHoN+8v5cUfVjI9/zEya9fA5C8hZxAA30/5LzPfeR3tlAH82/YZt/a8lS3fbqF///5ceumliZlJduz8lEWLfkpOzukMHfIEmtb4A244GOXtx+ZSuSPA+bePIKdn2iE/zr11pJ7HjJoa/LNm4Sudjq90GuHVawCwZGTgHjc2XnIyAXtBQQfvqRCijmkq/nHbdyzL0HnjqBQMDcwG06nqhsKi4KIfahlcaTL58eNaXZdSio3BMDOqfMyMj9JY5Q8B4NA1hqe6E6M0Rqe5SW+jj0ajffRHCK2rIrSmiuCaSqLb/QBoTiuOPuk4CtNxFnqx5rqlZ5IQIiFZP49JCUmSSdY3mhBHoohhctU/ZrB101q+Sn0QmysVJn8NLi/KNHnnz79l/YK5bD09m8/VbO7Jv4dlPyzj6KOP5uSTT06sZ8OG51m95k/06vVTCvvc3mw7vqoQb/5pDtGoyUV3lZDWxXUoD3OvyXksJrJ9R2J2E19pKdEdOwCwFRTU988YNw5rvKxICHHwhINRqnYEqCjzUVHmp6LMT+V2H5XbAxjRWBnIbo/OjAFOFvW0E7JpOCKKog1hxq4IkumLLXPhXSVkd0/FYmvfqKrycJRZVbWxUKPKx8IaP1EFGjDI42SsN4Wx6R7Gej3kO9pXembUhAmtrUwEGsauIAB6ii0eaMRGc1iynBJoCHEES9bPYxJgJJlkfaMJcaQqrw1x9lNTGaGW8Uz0QbTCE+HyV0C3EPL7efnXv8RfVcn3JwbYpO3kFuctLF+4nPPPP59hw4YBsW/tli+/l63bXmPwoD+Tn39Bs+3s3ubjrT/PwZ1m54I7S3B24qn35DzWnFKK8Lp19f0zZszArK0FwDF4EJ5xsdlN3KNK0F2dO6ASorNSSuGvCteHFNv9VMZ/r60IJZbTNEjLdpGR5yEj183CbzZjRNrfxNNi1cnplUp+YTr5hV7yCtPbfU72GQbzqv3MqIwFGrOqffjjfTS6O+2JMGNsegr93I52BRDRimCsGeiaSoJrKjGrw7H9THfEZjcp9OLo68Wa7mj3MQohkl+yfh6TACPJJOsbTYgj2fxNlVzybCn3Zk/lmsqn4dg74cRfA1CxbQsv3Xc7Tq+XF0YuwevJ4pyKc9i6ZSvXXHMN3bt3B8A0I8xfcC2VlbMZMfx/ZGSMabadrasqePeJ+eT2SuOcW4djtXXO7vRyHtszFY0SXLIEX2lshEZg3jxUJIJms+EaMQLPhFig4RwyBM0qbauEaMiImlTtDFBZ5qdie4MRFWU+wkEjsZzNYSEjz403z01GroeMPDcZeR7Ss12NRlB8+/IKlvywFWW0/tlYs2j0H5NL76IubFtTxbY1VZRvrME0Y6/JyHOTX5hOXqGX/MJ00nNc7QsfTMUSX4AZlbFRGjMqfZRHogBk2iyMSfcwJj3WGHRoqgv7HvrpKKWIlgcSgUZoTSWmP7Y+axdXfaDRJx1LijQbFuJwlqyfxyTASDLJ+kYT4kj36qyN3P3mQt7rPoXinR/AJS/A4HMAWL9gLm/94SEyi/rzeMEXHJ17NP1W9CMcDjN58mS8Xi8AkUgVs+dcRDi8m9Gj3sTt7tVsO6tmbeezfy6hb0kOP7p+SKds4Cbnsb1n+v3458zFNz02QiO0dBkAekoK7rFjEyUn9t69ZUi4OGIEfREqt/ublH34qdoZQJn1n2NTMhx4c2PhRMPAwuO1t+u/l6qdfl757Uyi4dZHYVjtOpfdP4b0bHfisUjYYMf6aratqaJsTRVla6sIxcMCV6qNvD6xERr5fdPJ7pGKpR0ziCilWBcIM72qNtFHY10gNqLCpWuMTIs1BR3nTaEkzU2Kte0gW5mKyHZ/IswIra1ChWIhjy3PHZ+y1Yujdzq6S8JSIQ4nyfp5TAKMJJOsbzQhBNz79iLenLGaGfmP4fWtg0lfQs5AAOZ8+A7f/O8fpB5fzFPu97m659VESiNkZGRw3XXXYY9Pu+n3b2D2nAux2byMKnkDm83bbDtzP9tA6VtrGH5KD466sO+hPMR2kfPY/ovu3o1/xoxYycn06UQ2bQLAmpPToH/GeGy5OR28p0LsH2UqanYH4wGFL172Efs9UBNJLKdbNbw5bjJy3WTke+KBhRtvrhu7c/8vvDcs3sUnzy/CMFSjkRiaRcNi0TjthiJ6Ds3a47HsLvNRtqaKbaur2LamkuryWH8Ki00np2dqLNAoTN+rspMdoUi8h0ZslMbimgAmoANDU1yM9cZGaYxN95DjaHudylBEttYSjAca4fXVqIgJGti6peCMBxr2Xmno9s45yk8I0T7J+nlMAowkk6xvNCEEhKIGlz0/ncqy9XzueQCrKx1u+Bqc6Sil+PRvj7Pk2y8JndWPKeYX3N37btZ8vYaBAwdy8cUXJ2Ymqayczdx5E/Gmj2T48H+j642H+Sql+O6VlSz+dgvHXNqf4hM616wWch478MKbNsXKTUpL8ZdOx6isBMDetzDWP2PCeNyjR2NJTe3YHRWiFZGwQWWDcKJie/2Iiob9JxweK5l5nkZlH948N2lZTnTLwZ2OuGqnn/lfbGLljDLCQQO700L/sXkMP7l7o5EXe8NXFYoFGgew7KQ2ajCn2s/0eNnJvGofgfg6e7vsjE1PYYzXw7j0FHq72h6FoqIm4Y019YHGphowFFg07N1TEw1B7T1S0doxgkQI0Xkk6+cxCTCSTLK+0YQQMdurg5z55FSOsq3g8dADaH1PhsumgK4TDYd57eF7KN+0gaWnuZhlLOW+vPtY+MNCjj32WE488cTEeraVvcPSpb8kP/9iBg38Q7MPoKap+PjZRaxfVM7pNxbRZ3j2oT7UVsl57OBSpkloxYr6hqCzZ6OCQbBYcBUVJWY3cQ0fjm6XGndx6Cil8FeH470pYkFFZbz0o2Z3MLGcpkFqF1esJ0W89MObFxtR4eokfRkO1nmsXWUnfWOBRnvLTsKmyeKaANPjozRmVvnYHYmViWTbrYxJ98Sbg6YwxOPC2kbpoRk2CK+vTjQEjWypBQWaTcfeKy0RaNi6pqBZpJxNiM4sWT+PSYCRZJL1jSaEqDdz3W6u+Pt0Hs77gSt3Pw3H3Q0n3AtAbcVuXrrnF2DR+eCoMnyWMDdYb2D5ouVceOGFFBUVJdazZu3/sX790xQW3kWvnjc2204kbPDOX+axa0st5902grw+6YfqENsk57FDywyHCcybj296Kf5ppQQWLQLTRHO5cI8alSg5cfTvj7aHBoBCtIdhmFTvDCRGUFRsqx9REQ5EE8tZ7XosnIiXe9T1qEjPcXXaJsR1DtV5TJmK3dt8iUDjQJSdmEqx2h9iRlUtMyp9zKjysSkY66PhseiMivfRGOv1MDLNg7uNkS1mIEpoXX1D0EiZHwDNYUlM2eoo9GLLdXfKnkxCHMmS9fOYBBhJJlnfaEKIxv7zwzoeen8JH/V4mcE7PoTLXoaBZwKwbfUKXn3oV3h79+TZ/qX0Su/NyTtPpmxbGddccw0FBbGSEKUUS5b8gu07PqBo6F/JyTm12Xb81WHefGQ24aDBhXeV4M3Zt2HOB5KcxzqWUV2Nf9asRP+M8Jo1AFgyMvCMH4d7/Hg84ydgL+jWwXsqOruQP9KgJ0V8RMV2P1U7AokyCABPuh1vXt0sH7HSD2+emxSvI2kvajvyPHYwyk62BsPMrPLFZzqpZZkviAKsGhSluONTt8Z6aWTZW+8pYtSGCa2tCzSqiJYHANA9Vhx94g1BC9OxdmnffgkhDp5k/TyWNAGGpmnDgWcBJxAFfqKUmhl/7h7gesAAfq6U+nRP65MAQwjRkZRS/PK1BXw4bx2z8h8lzbcBJn8F2f0BWPrdV3z8zF/octRwHkt/j9O7nU7+4nyi0Sg33HADaWlpABhGiHnzrqSmdhklI6eQllbcbFuV2/28+cgcHG4rF95Vgiu1Y4dgy3msc4ls3x7vnRGbsjW6cycAth498IwbFys5GTsWa0ZGB++p6AjKVNRUBOtDiu2x6Ugryvz4q8OJ5XSLRnqOu0HZhzsWWuS6sR+Gs1d0pvPYwSg7qYpEmVXtZ2aij4afcPzaoJ/bkeijMTbdQw9n6300opWh+hlO1lRiVMXeM5Y0e/0MJ33TsXqdB+ivIYRor850HtsbyRRgfAb8n1LqY03TzgDuUkodr2naYGAKMAboCnwB9FdKGW2sTgIMIUSHC0YMLvzbNEK7N/Kp634s7kyY/CU4Y6Ue37zwT+Z88DbOM4bzLO/yk8KfUPFdBVlZWVx77bWJmUnC4XJmzb4Q0wwxetRbOJ1dm22rbG0V7/zfPLoUpHDubSOwdWD3eDmPdV5KKcJr19b3z5gxA9PnA03DOWhQLMwYPx73yJHoLldH7644gKJhg8odgcQoioYjKhpOH+pwWxuFE3WlH2ldDn4Tzc6kM5/HDkbZSdAwWVjjj43QqPIxq8pHVTT2UTvPbovPdBKbvnWgx4mlhUBDKYWxK5hoCBpaU4Xpi80kY8lyxmc4ScfRx4ulg4N2IY4Enfk81pZkCjA+Bf6llHpV07TLgbOVUlfER1+glPpDg+UeUkqVtrU+CTCEEJ3Bpt1+znl6Kie6VvGo/360fj+KlZPoOqZp8PYfH2bj4oWUn1PA+6HveKDvAyz+fDFDhgzhoosuSnzrVVu7ktlzLsblKqBk5KtYrSnNtrV23k4+fn4RvYu7cNqNRegdNHRbzmPJQ0WjBBYtwj99Or5ppfjnz4dIBM1mwzVyZKJ/hnPIEDRL5+5ZIGIXkIGaCJXbffGAom6mDx/Vu4JQ99FPg7QsJ97cBmUfeW68uR5cqTYZ+k/ynccOdNmJqRQrfMFYY9D4KI2toVgYkWaN9dEYm57CWK+H4alunC2EW8pURHf4Ca6OBxprq1ChWChizXXXBxq909Hd7ZtSVgjRfsl2HquTTAHGIOBTQCM2tfUEpdQGTdOeBqYrpV6ML/dP4GOl1BstrOMG4AaA3NzckldeeeWQ7f+BUltbS0pK8wsTIUTyWlJu8OjsIA9kfMa1gf+wrtflbOh1GQDRUJDlb76EEQ7yzTE+Ntl2cI1xDeUbyunVqxe9evVKrEepxZjqCWAIunYLmtb8gnLXSkXZXEVmP8gbqXXIhYicx5JYKIR99Wrsy5ZjX7Ec26bNAJguF+H+/QkPGkh44ECM3NzYVBKiQyhTEfZBqBrC1RCqVrHfa8Cor/pAs4AjFRxpYE/TcKTFf08B3Sr//7Ul2c9jZlQR2A3+neAvV/jLwYzlD1gc4M4GdxcNdxdwZsRKhNqiFJSjsRwrK7CyHCubif0bZEXRB4OBRBlAlAEYpGgtXGeY4KgB1y4N9y4NZwXopoZCEUqDQJYikKkIZIA6/KqShDjkkvU8dsIJJ3SeAEPTtC+AvBaeug84CfhWKfWmpmmXADcopU7WNO0ZoLRJgPGRUurNtrYlIzCEEJ3Js9+u4Y8fL+PTXlMYUPZBbGrVgWcAsGvLJl6+75d4srvw0ohl2O1OruEali1exsUXX8yQIUMS69m85WVWrLifgoKrGdD/gRa3NfX1VSz4chMTLuzLiFN6HJLja0jOY4eP6O7dsdEZ8f4ZkS1bALDm5dX3zxg3DltOTgfv6eEpHIg26klRN9NH1Q4/plH/Oc6dZm9W9uHNc5Oa4UzaJpod7XA7jx2MspPdkSizqnzxmU5qWVgTIBK/vhjocSambh2b7qGbs3nJiIqahDfVJKZsDW+sAUOBrmHvnhobnVHoxdEjDc125JQvCXGgJOt5LJlGYFQBXqWU0mJfGVYppdKkhEQIcThQSvGzl+fx1eINzMr/Mym+TbGmnl36AbB23ize/tNvyB0xlP/L/4zh2cMZt2Uc28u2c91119G1a33fi5Wr/h+bNv2L/v0fonvBxObbMhWf/mMxa+bu5EeThtBvVO4hO06Q89jhLLxpU33/jNJSjKoqABz9+sZmNxk3HveY0ViS8BufjqKUorYiFGui2aD0o7LMh6+qQRNNXSM9xxWfktSTCCkyct04ZPj9AXcknMf2WHbStz7QSM/ec9mJ3zCZX+1nRlUtM+N9NGqNWH+Vbg4b47wpielb+7ud6E3WZ4YNwhuq44FGFZHNNbGyJ6uOo1daItCwd0tF28OIESFE8p7HkinAWAbcrJT6RtO0k4BHlFIlmqYNAV6mvonnl0A/aeIphEg2vlCU8//6A5bqzXzg+DWWlC4w6UtwxmYcmfnuG3z/8n/o8qMxPGp9nUt6XYJnjgeAyZMnk5qaCoBSBgsX3Ux5+dcMH/YPsrKOa7ataMTgvcfns31DNefeOoKu/byH7DjlPHZkUKZJcNmy+v4Zs2ejQiGwWHAVFyf6Z7iKi9Hs0rAvGjGo2hFI9KTYvc0fa6a53U80VP+Rxu6yJmb68ObVhxVp2S4sR1ATzY52JJ7HImGDHeuqE4FG2doqwoH62U7yC73kFaa3e7aTqKlY5gvEp26NjdLYEY6tL8NqYXR6fWPQ4lQXdr3x+sxgtNGUrZEyHwCaw4Kjd3oi0LDleWSkkRAtSNbzWDIFGEcDTwBWIEhsGtU58efuA64jNr3qL5RSH+9pfRJgCCE6o3XlPs55eipnpa7m97X3o/U/DS59EXQdpRQfPfUoy6d9B+cV8Z/Q+9w54E42fbmJnJwcrrnmGmy22Det0aiPOXMvIxDYyKiS10hJGdBsW8HaCG/+eQ6BmjAX3lVCRp7nkByjnMeOTGYoRGDe/Fi5yfRSgosWg2miud24R5XgGT8Bz4TxOPr1Q9MP3wvxQG04PoIiNstHXdlHTXmAhh+9UjOd9aMo4qUf3jw37rTWp6wUh46cxw582YlSig3BMNMrYyM0ZlT6WBMIAeDUNUakuWONQdM9jEr3kGpt3OfJqA03CjSi5QEAdLcVR5/0xLSt1naMFhHiSJCs57GkCTAONAkwhBCd1ZfLtnP9f2fzeM9pnLf9aTjhPjjuLgAi4RCvPng3Fdu2sPpML98FZvObfr9hzqdzKCoq4oILLkh8MAsGtzFr9gXompVRo97C4chutq3q8gBv/Gk2VruFC+8qwZPuOOjHJ+cxAWBUV+OfOTNRchJetw4AS1YWnrFj8UwYj2f8eGzdunXwnu4901RUlwfiIUWs9KPu92B82kiIXeR5c9wNZvrw4M1z481xY3PIrC6dmZzHWpYoO1kdCzTKN9XWl53ke8iPj9Bob9nJznCEmVU+Zlb6mF5Vy+LaQKwNBjAkxcWYdA9jvB7GpaeQ62gckESrQokwI7SmEqMyFoboqXachQ0CjUznQflbCNHZJet5TAKMJJOsbzQhxN75v89X8sSXK/mq90v02fYxXP4KDDgNgJpd5bx4zy+wOp18fPR2dpqV3JV1F3N+mMNJJ53EMccck1hPdfUi5sy9nJSUAYwc8RIWS/MPajs2VPP2Y3PJyPNw3u0jsDsPbnt3OY+JlkTKyvCVTsdXOg1faSnGznIAbD17xMpNxo3HPXYM1oyMDt7TeuFgNFbmURYv94g306zc4ceM1n+OcqXaEuFERoMeFSmZzg6bzljsHzmPtU+bZSdpdvL7pO9V2YkvajAn3kdjRqWPOdV+Amasj0ZPp52x3vrpWwtdjkRAopTC2B0k2CDQMGtjYaIl04mjTzrOvl4cfbxY0qSkTRwZkvU8JgFGkknWN5oQYu+YpmLy/2YzY+VmZuT9GY9vE0z+Grr0BWDL8qW89pt76TKgL8/1LSXbk8NlkctYtmQZl156KYMGDUqsa+fOz1i46Cfk5JzO0CFPoGnNPyCuX1jOR39bSI8hWZxxcxH6Qayll/OY2BOlFOHVq+OBRin+mTMxfT7QNJyDBydGZ7hGjkR3HtxvT5VS+CrDjUZRVJT5qNzup7YilFhO0zXSs+uaaDYYUZHrbteMDSK5yHls3+yp7CS3V1oi0Mjrs+eyk4ipWFTrZ2alj5lVsVEauyOxnjFZNitj4300xnpTGJriwqbXBxrRHX5Cq2MNQUNrq1DBWLBizXHhKPTiLPTi6JOOLk1wxWEqWc9jEmAkmWR9owkh9l5VIMJ5z/xAanAr71jvQ0/JhslfgiPWrHPRV5/x2XNPkn/8WB7xvMmx+ccydP1Qdu7YyfXXX09eXv2s1Bs2/p3Vq/9Ir54/obDwly1ub/F3W/j25RUMPqYrx18x4KDVCMt5TOwtFYkQWLQY3/RS/NNK8S9YAJEImt2Oa+TIRENQ5+DBaJZ9K70wIiZVOwOJURQNA4tIgyaaNqclMYrC2yCoSM927fHbY3H4kPPYgeOrCrFtdX2gsT9lJ0op1gRCiaagMyp9bAjGZutx6Tqj0t2xxqDpKYxMc+OJ99FQpiKytZbQmqrYlK3rq1BhEzSwdU2pn7K1Vxq64+COUhTiUEnW85gEGEkmWd9oQoh9s3J7Dec98wMXZ67hoapfow04Ay55AeJNDr/693PM++R90s8bxxPhV7m+3/UYpQa6rjN58mRS4tNVKqVYvvxetm57jcGDHiE//8IWt1f69hrmfrqBsef2YdTpvQ7KMcl5TOwv0+fDP2dOrH/G9OmEli8HQE9LwzN2TGzK1vHjsffq1exiJ+iL1I+iKPPHm2j6qC4Posz6zz4pGY54E01PPLCIBRXudGmiKeQ8djC1u+ykbzrZ3fdcdlIWisSmbq30MaPKx5LaAAqwaFCU4mZsfOrW0ekesu2x0RYqahLeXJMoNwltqCbWfEPD3j21PtDokYZmk+BSJKdkPY+1FmBItCiEEJ1A/9xU/nzRMH76ssHYPj/hjOVPw9TH4Ng7AThu4vXs2ryBLR/O4eILTuWfq/7JA8c+wIpPV/Dqq69y9dVXY7Va0TSNAQN+QyC4iWXL78Pp7E5Gxphm2xt3bh9qdgeZ8e5aUjOdDBib12wZITqa7vGQcuyxpBx7LADRXbvwTY+Xm0wrpfrzLwk6MwkWDCLSr4Rgl97U6ulU7Y4QqGnQRNOq48110aUglX6jcutHU+S4DnovGCFEy2x2C90GZNBtQKzfTUtlJ2vn7wTaV3aS57Bxbk4G5+bE1lcdNZhdFS85qazlP1vLeW5zbH2FLgdjvfHpW3NT6NkzjbSTeqAiBqEN1YlAo+abTdR8tQmsGo6eaYmGoPaCFDSZzliIDiEjMDqpZE3KhBD75w8fL+O5b9fwbZ+X6bn1I7jiNej/IwACNdW8dN/tREMhZv0IFgSW8bu+v2P6J9MZNmwY5513XuIb40ikitlzLiYc3sXoUW/gdvduti0jYvL+U/PZtqaKs28ZRsHAzAN6LHIeEwdKJGTEmmduj5d9bIv9XlXmxzDqP8fYwjW4/dtJtQXILEijS1EvcicU4+2RKU00xT6R81jHOpBlJyHTZGFNgBmVtcyo8jGrykdlNFY2lmu3MibeFHRsuofBKS4smoYZjBJaX01odSWhNZVEtvkA0OwWHL3rAw1bvgdNzjGik0rW85iUkCSZZH2jCSH2T9Qwuebfs1i4bhszcv+Ey7cFbvgasgoBKN+4npfvv5P0rvlMGb6ciG5wu/d2Zv0wi1NOOYWjjjoqsS6/fwOz51yI1ZrO6FFvYrN5m20v5I/w1qNzqd0d5II7S8jqlnLAjkXOY2JvKKXwV4djs3sk+lPEyj5qdzdooqlBWhdXfdlHfMaP9Gwn2qY1+KeX4ptWin/OHFQoBFYrruLiRP8MV3Exmk2a9Yn2kfNY57LHspMGgcaeyk5MpVjpD8b7aPiYUVnLllBs5FaKRWd0XWPQ9BRGpLlxWXQMX4TQ2ni5yZpKojsDAGguK84+6Tj6xqdsbcfUsUIcKsl6HpMAI8kk6xtNCLH/KnxhznpqKrlmGW/o96Kn5sKkLxJNPVfPms67j/6ObmNL+EvOx/Tz9uNs39ksX7acyy+/nAEDBiTWVVk5m7nzJpKePoIRw/+DrjefNq5md5A3/zQbTde48K5RpGQ4DshxyHlMtMSIxppoVpY1GFERDy3CwfommlaHpVFPilhg4cab7cbSjlp0MxQiMG9eon9GcPFiME10txvX6FGxQGP8BBz9+8mFhmiVnMc6t4ZlJ9vWVFK2pmq/ZjvZHAwzMx5mzKjysdwXW5dN0xiW6mJMegrjvB5GpXvItFkxqkOJhqCh1ZUYlbGwVU+11c9wUujFmnlwZ1ESoi3Jeh6TACPJJOsbTQhxYCzeUsWFf5vGxNy13Lf712gDz4JL/hf7+hkofXMK0157ifwzj+EP6kXO7nk2PVf0ZNeuXVx//fXk5uYm1lVW9i5Llt5Ofv5FDBr4xxYv1nZuquHtR+eS1sXFBXeMxO7a/74Ach47sgV9kVjZR5mfygZBRfXOQGIIOIDH60iMokiMqMhz4/E6DmiwYFRV4Zs5E39pbIRGeP16ACxduuAZNw7P+HF4xo/H1rXrAdumSH5yHks+B7LspCISZVa8j8aMSh/za/xE4tdO/d1Oxnnrp28tcNgwKkKE1lTGAo01lZjxXjwWryNWbtLXi7MwHUvagfmiQIj2SNbzmAQYSSZZ32hCiAPnrbmbuf21Bfy97zRO2fw0nPQAHBObGlUpxQf/90dWzSzFfukonqt+nVsH3Urld5VYrVYmT56Mx+NJrGvt2sdZt/4pCgvvolfPG1vc3salu/jg6YUUDPBy5s+GYdnPBmVyHjv8KVNRsztIxXZ/fCrS+tKPQHU4sZxu0fDm1oUUDUZU5Lo7rIlmZNs2fKWxhqC+0lKM8nIA7D174p4Qm93EM3YslvT0Dtk/0TnIeSz5RUIGO9YfmLKTgGEyv8bPzEof06tqmV3lo8YwAejqsDE23cMYbwrj0j30dzswy4OxcpPVlQTXVqHi27Vmu+L9M9Jx9PFi2cPIECH2R7KexyTASDLJ+kYTQhxYD767mP+Wrmdq4UsUbPkYrnwD+p0MQCQYZMoDd1K9cwcbz83hk6pv+X3R75n/0Xy6devGxIkTsVpjF4dKKZYsvY3t299n6NCnyc05vcXtLZu2la/+t5yB4/I48epB+/UNuJzHDh+RsEHVjnjzzDJfvDeFn6rtfqIRM7Gcw21tVO5R93talhO9E3fsV0oRWrUK//Tpsf4ZM2di+v2gaTiHDKnvnzFyJLpDvjk9ksh57PBzIMtODKVYVhuI9dCIl55sD8dCinSrhdHpsaagY9M9FKe40LcHEv0zQuuqUeFY2Zwt31MfaPROR5fZkcQBlKznMQkwkkyyvtGEEAdWxDC54u/TWb1lO6XZf8Lp3wqT65t6Vu3Yzkv33oYjJYXPj9nNhtAWftfnd3z/yfeMGDGCc845JxFCGEaIefOupKZ2KSUjXyEtrbjFbc58fy2zPlzPqDN7MfbsPvu873IeSy5KKQI1kcQoioY9Kmp2B6Hu44IGaVlOMvI8sZAitz6ocKbYDot+EioSIbBoUbx/RimB+QsgGkVzOHCNHIFn/AQ848fjHDwIzWLp6N0VB5Gcx44M7So76RsLNdK6tF52opRiYzDMjCofMyt9zKiqZZU/1hfDoWuMSHUnSk5KUly4yhoEGhuqIapAB3u31ESgYe+Zhm6X84zYd8l6HpMAI8kk6xtNCHHg7agJcvZTU+ml72QKv0JP6wrXfw6O2Iwhm5Yu4o3f/Zq8IYN5tnAaKfYUfpryU2ZOm8mpp57K+PHjE+sKh8uZNftCTDPE6FFv4XQ2r/dXSvHVC8tZPm0bJ0wcyOCj9q0ngJzHOifDMKneGYj3pqgv+6jc7ifkjyaWs9r1WNlHoi9F7DY924X1CPswbfp8+GfPjgUapaWEVq4EQE9PxzN2bH3/jJ49D4sAR9ST89iRqXHZSSVla6v3ueykPBxlVlVtfISGj0W1fqIKNGCQx8lYb0qs9MTjJjMxQqOK8KYaMBVYNOw90nAWxmY5sRekorWxPSGaStbzmAQYSSZZ32hCiINjzoYKLnu+lBu6rueO8vvQBp0DF/8n0dRz/mcf8eU//0rPU47l/zmmMCpnFCdWnMjKFSu54oor6NevX2Jdtb5VzJ59ES5nN0pKXsVqTW22PcMw+fCZhWxeXsFZPy2mx5Csvd5nOY91rFAg2nimj20+Krf7qdrRuImmO90eb6IZH1ERDytSvA40XS7GWxItL8c3fQa+0mn4SkuJbt0GgLVrfmJ2E8+4sVi7dOngPRX7S85jAg5s2YnPMJhX7Y9P31rL7Go//ngfjR5Oe3yEhocxLifdt4cIr60itKaKyNZaUKDZdOy902OBRqEXW9cUOVeLNiXreUwCjCSTrG80IcTB89KMDdz39mL+238ax218Gk5+CI6+LfH8539/moVffELOxcfziO+/XNHvCrwLvFRWVjJp0iSys7MTy+7aPZUFC64jM/MYioueQ9eb19uGA1Heemwu1TsDnP/LkWT3aB50tEXOYwefMhW1laEWyz78VQ2aaOoa6Tmu+rKPBoGF4wDMOHMkU0oR2bgx1gx0Wim+GTMwq6oAcPTvn+if4R41Cr1BY12RHOQ8JlrTVtlJZldPItDYU9lJ1FQsrg0ws8EojfJIbLRHps3CmHQPY9JTGON00G97GDMeaER3+AHQnFYcfdJxFKbjLPRizXXLSDDRSLKexyTASDLJ+kYTQhw8Sil+9eYiXp29kdK+L5K/+RO46g3oG2vqaUQjvP7bX7N9zSpClw7hhd3vcG/xvWz+YjN2u53JkyfjdrsT69u85WVWrLifgoKrGdD/gRa36asM8cafZmOaiovuHkXqXsxlL+exAycaNqjcEaCizJeYmrTu92i4vomm3WVNTEOakefBm+smM99Dahfnfs8qI9pHGQbBpcvwlZbin16Kf/YcVDgMViuuYcPqG4IWFaHZZOaBzk7OY6K9IiGD7eurKVtTGZ/tZN/KTpRSrA2EGvXRWBeIBdIuXWNkWmzq1jF2B0N2hrGtrSG4phJjd2xEiJ5iiwcaXpyFXixZTgk0jnDJeh6TACPJJOsbTQhxcAUjBpc+V8rWnbuYmvUHHP5tcMPXkBlrtumvquTFe29DmSYLT7MzrXo2jxQ/wvT3ptOjRw+uuuoqLA2aDq5a9Xs2bvon/fs/SPeCH7e4zV1ba3nrz3PxeB1ccMfINofGNiTnsb2jlCJYG0mEEw2nJq3e1biJZmqms8WyD1fq4dFE83BiBoME5s1L9M8ILlkCSqG73bjHjMEzfhzu8eNx9Osn/991QnIeE/uqrbITq00np1daItDYU9nJjlAkFmhU1TKj0sfi2gAmoANDU1yM9XoYZbEzvDxC6rpagmsqMeNTWVvSHbHZTQq9OPp6sabLTEpHmmQ9j0mAkWSS9Y0mhDj4tlYGOPupqQxylvNC9G609AKY9DnYY8PTd6xfy5QH7iSrR09eG76Symg1v+n9G775+BtGjRrFmWeembhQUspg4aKfUF7+FcOG/Z0uWce3uM3NKyp4/8n55PVJ55yfD8di2/O3+XIea5lpmFSXB+NTkfriIUWs9CPka9BE06YnZvnwJhppuknPcWM7wppoHk6Mykp8M2fGRmhMKyW8YQMAluwueMaNj/fQGIctP7+D91SAnMfEgeWrDDUKNHZuqkXtQ9lJbdRgdrUv3kfDx7xqH4H4evq4HIxJd1NisTOiPELeulrCa6ow402arV1c9YFGn3QsKfZDc/CiwyTreUwCjCSTrG80IcShUbpmF1f9cwY/77Gen5fdizbkfLjoX4mmnitKp/LB43+k59Hj+Uvmh+Sn5nO943pmls7kjDPOYMyYMYl1RaM+5sy9jEBgI6NKXiMlZUCL21wxo4wv/r2UfqNzOeXawXtsGnakn8fCwWis3GNbvIlmvPSjaocf06j/t9eVZo9PRepuNDVpaqZTGrMdASJbt+IrnR7roVFairFrFwD2Xr1ivTPGj8czZgyW9PQO3tMj05F+HhMH14EqOwmbJotqArEeGlW1zKz0URE1AMi2WxmT5qFEszFid5Tea2sx1lWjQrHnbXnu+JStXhy909GlL9JhJ1nPY60FGPIOFUKIJDS+MIt7Th/I7z5UjBn0U8YveRq6DoejbgVgwPijKd94KdPfepVfnn8pv6n8F58VfMaY/mP4+OOPycrKorCwEACr1cOw4ueZPftCFiyYxKhRb+FwZDfb5oCxedRWBJn+zlpSMx2MP7/voTzkTkkpha8yFC/78FMZL/2oKPPjqwwlltN0jfRsFxl5bnoXZ+HNjY2o8Oa6212SIw5Ptq5d8V54Ad4LL0ApRWjlKvzTYw1BK995l4qXp4Cu4xwypL5/xogR6A4ZBi5EsrM5LBQMyKBgQAbQctnJ2nk7gbbLTuy6Tkm6h5J0Dz8hB1MpVvlDiZKTGVU+PgzGmgt7+uiUDMthlGZjeIXBwLW1RGaUUfvDVtDA1i0FZzzQsPdKQ5cRf6KTkREYnVSyJmVCiENHKcUvXp3Pewu2MKPvC+Rs/gyuehMKT4w9b5q8+9jvWTt3JmlXHMMTu//HDYNvwDLLQnV1NZMmTaJLg2keq2sWM2fOZaSk9GfkiJexWJo37FRK8e3LK1jy/VaOu7w/Q48raHX/DqfzmBExqdwRDynqpiUt81O53U8k/i0WgN1paVTukRH/Pa2Lq9VvzoRojQqHCSxalOifEVi4EKJRNIcDd0kJ7vHj8IyfgHPQQDSLXGQcDIfTeUwkpwNVdrI1GGZmlS8+00kty3xBFGDVoDjFTYlmZXiFwdB1PjzrasFUYNGwd09NNAS190hFk3/Lkk6ynsekhCTJJOsbTQhxaAXCBuf/9QcqKyv4LvP/YQ/sgBu+gYxeAIQDfl7+9R34KivYcWF33tr5Mb8b+TtWfLwCl8vFpEmTcLlcifXt3PkZCxf9hJyc0xk65Ak0rfkHFdMw+fjZRWxYvIvTby6md3GXZstAcp7HYk0060dR1E1PWlMeoOE/lymZjlg4ES/9qAst3Gl2acQoDhqj1od/9iz88SlbQ6tWAWBJT8c9blx9/4wePeR9eIAk43lMHN7aKjtxx8tOYqGGly49UlqdgaoqEmVWtZ+ZlbXxPhp+wvF/6Pq5HIzSbAyrNCha7ydnfS2aAs2mY++Vlgg0bF1T0CxyrunskvU8JgFGkknWN5oQ4tDbuMvP2U9PZWTKbv4VuQstvTtc/1miqWdl2TZeuvc23BkZfHNsDUtrVvBY8WN888439OrViyuvvLLRzCQbNv6d1av/SK+eN1NYeEeL24yEDN75y1x2b/Nx3u0jye2V1myZznoeM01Fza5Ai2UfwdpIYjmLVcebCCjc9bN+5LqxOeTbbtHxojt34ps+I9E/I7ptGxArS3FPiDcEHTcOa1ZWB+9p8uqs5zEh6hyo2U6ChsmCGj8zq3xMr/Qxq7qW6mhsmu48m5VRuo3hVSZF6/302uDHAmgOS2LKVkehF1uuW3o3dULJeh6TACPJJOsbTQjRMb5ZsYNr/zOLu/ps4qYtv0IbeiFc+I9EU88NC+fz5h8eoGD4cJ7vPQ1N17i/+/189fFXjBkzhjPOOCOxLqUUy1fcx9atrzJ40CPk51/Y4jb91WHe+NNsomGDC+8aRXq2q9HzHX0eSzTRjJd61I2mqNoRwIh/KANwpdriQUV9X4qMPA+pWU50+SAmkoRSivD69bHZTUqn45sxA7O6GgDHgAGJ/hnukhJ0j6eD9zZ5dPR5TIh90f6yEy9pXZwtjtgylWK5L5goOZlR5WNbKBbyp1l0Rug2RlSbFG8IMGBTAIcJuseKo0+8IWhhOtY2SlrEoZOs5zEJMJJMsr7RhBAd55mvV/PnT1fw+pBpjF7zNPzodzDhlsTzcz96l6//+3f6nnEyv7O8xMDMgVyuX87M6TM566yzGDWq/t8I04wwf8F1VFbOYsTw/5KRMbbFbVaU+XjzkTm4Uu1ceGcJzpT6b3YOxXlMKYW/KpwIJyq2x0dUlPmprWjQRFODtGxXouzDW9efItfdaJ+FOFwowyC4dGmsf8b0UgJz5qLCYbDZcA8bluif4SoaimaT/wZaI5/HxOHgQJSdKKXY1KiPho+V/thID7umUaRbGVGjKN4QYOjWIGlRsKTZ62c46ZuO1du8t5Y4+JL1PCYBRpJJ1jeaEKLjKKW46cU5fLFsOzP7/pesTZ/DVW9B4QmJ5z999gmWfPMF3a86nd/ufpbzCs9jwPoBrF27lokTJ9K7d+/E+iKRambPuYhweBejR72B2927xe1uXV3Je4/PJ7tHKsdfOYDF325hxcwyIkEDm9PCgDF5DD+lO+nZ7n0+NiNqUrUjQEW8gWZlXX+K7X4iwfommjaHpb7kI9dDRn7sNj3bhcUmjcfEkcsMBgnMnRsrN5lWSnDpUlAK3ePBPWZMon+GvW9f+ca0Afk8Jg5Hpqmo2OZj2+rK+EiNKmp27X3Zye5IlFnxMGNGVS0LavxEFWhAf83K8FqT4s1BhpWFyQsqLFnO+Awn6Tj6eLGk2g/hUR+5kvU8JgFGkknWN5oQomPVBCOc98wPhH3VfOX9LbZAebypZ08AopEIr/3mHnZuWId+5SieL3uZXw77JbVTa/H5fEyaNImsBvXyfv8GZs+5CKs1jdGj3sRm87a43dVzdvDp3xej6YCmoYz6f1s0i4bFonHaDUX0HNp2LX7QF6Fyu5/d23yxkCJe+lFdHkwMfwVIyXA0LvuIBxYerzTRFKI9jMpKfDNm4iudhq+0lMiGjQBYsrvEw4wJsYageXkdvKcdSz6PiSPFgSg78Rsm86p9sVEalT5mVfvwGbGSza7ojPApireEGL4jQm+fiT3XXR9o9E5Hd8tosIMhWc9jEmAkmWR9owkhOt6anbWc+/QPHJVZybP+O9AyesJ1n4E9NgLCV1nBi/f8Al23sOxMD1+Wf8ejox9l7ntz8Xg8TJo0CaezfphnZeVs5s6bSHr6CEYM/w+63vwbk6qdfl5+aAam0fq/KVa7zmX3jyE1y0Xt7mD9LB/b60dUBGrqm2jqVg1vTv10pImGmrlu7E7rAfyLCSEiW7bgmz49MWWrsXs3APbevev7Z4wZgyWtecPew5l8HhNHqmZlJ2uqCMdHPLa37CRqKpb6AvHGoLE+GjvDsdIVLxrDfYribWGGl0cYVGPizk+Jz3CSjr1XOro0zD4gkvU8JgFGkknWN5oQonP4dEkZN74whwcGbOLaDb9CK7oYLng+0dSzbM0qXn3wbnIK+/LmiNVs9ZfxWPFjfP7W5/Tp04crrrgCXa//MFJW9i5Llt5Oft6FDBr0p2bfvHz78gqW/LC10ciLljg8VqJhEyNiNnosM89TX/YRH1GR1sUlTTSF6ADKNAmtWpXon+GfNRvl94Ou4ywaimdcbIYT18gR6PbDewi4fB4TIsY0Fbu3+hKBxr6UnSilWB8IM6MqFmbMrPSxJhDrV+VQUBSA4u1hRuyKUlRtktk1NTY6o9CLo0campSC7pNkPY9JgJFkkvWNJoToPB79dAVPf72ad4umMWzV03Dq72H8TxPPL5v6DR899Sh9jz+OxzLeJ92Rzl35d/HlJ18yfvx4Tj311EbrW7v2Cdatf5LCPnfSq9dNjZ57/hffNupF0RpN1xh2YkFsREV8alJXyuF9ASREslPhMIGFCxOjMwILF4JhoDmduEtKYqMzxo3DOWgQmn54XWDI5zEhWtdq2YkGmfmeeMlJOnltlJ3sDEeYGQ8zplfVsrgmgAHoCvoHYdiOMCMqDIbXKLo1CDTs3VLRLPIlR3sk63mstQBDxuAKIcRh6rZT+rNoSxUXLx3PjMKVZHx2P+QOhT7HATDo6OPZuWEds957kzsvvYIHap/jpZqXOHvM2ZSWlpKdnc3IkSMT6+vd++f4A+tYs/bPuNw9yc05PfFce8ILiH37ctRF/Q7sgQohDirNbsc9ahTuUaPI/vktGLW1+GfNik/ZWsqOPz8KgMXrxT1uXKLkxN69ewfvuRDiYPJ4HfQtyaFvSQ7QvOxk1aztLPl+K9B62Um23caZ2V7OzPYC4IsazKn2x0ZpVPp4z+Pj1Z6xL9y7h6IM27Kd4Yu3MsKn6J+XGu+h4cWW50GTUZtHBAkwhBDiMGXRNZ68bARnPz2VC7dN5LOMdVjfuDbW1NPbA4CjL/8x5Zs2sPqNj7njmkn8ceuz9B7Ymz59+vDBBx+QlZVFz56xBqCapjFo4J8IBrewdOkvcTq7kp42DACb09KuEMMu9axCJD1LSgqpJ5xA6gmxGY4iO3bgnzEjMUKj5pNPALB164ZnQqzcxD1uHNbMzI7cbSHEQWZzWCgYkEHBgAyg5bKTNfN2Ao3LTvL7esnrk4bDbcNjtXBsZirHZqYCEDEVi2r9zKyMTd86zVPLB91inzcyIhGGb9nGsMWbKQlAUU4qKYUZOAq9WLNd0tT7MCUlJJ1Usg71EUJ0Psu2VXPBX6fxo9xqHq+5HS2jN1z/GdhcAIT8Pl6675cEa6qpurQfL299iwdKHqDs6zICgQCTJ08mIyMjsb5weBezZl+IaQYYPeptnM6u7eqBoVk0hhzdleMuH3DQj1kI0TGUUoTXrcdXOg3/9On4ps/ArKkBwDFoEJ5x42IlJyUl6O59n1r5UJHPY0IcWPtbdqKUYrU/FGsMWlXLzN21bAjHGoC7DEVRpcGwCoORIY1R2alk9okHGpnOlnbniJCs5zHpgZFkkvWNJoTonN5bsJWfT5nH/xu8iSvX3g3Fl8L5zyWaeu7eupmX7/sladk5TD3Oz+zd83hy7JNMfWsqaWlpXH/99TgcjsT6an2rmD37IlzObpSUvIqvwsIrv51JNGy2tguJWUjSszv/RYsQ4sBQ0SjBpUvjDUGnE5gzBxWJgM2Ge/hw3ONjJSeuoiI0a+cYGLxk4xLe+PwNwlvCWE0rUT2KvZudi065iCE9hnT07glxWImEDLavq0rMdFK2du9nOykLReIlJ7XM2FXL0mAIBViUYkC1yfAKg5KIzpisVLoVZuDo48WSduT030rW60oJMJJMsr7RhBCd1+8+WMo/pq7jw2E/MGTFM3DaH2HczYnn182bzVt/epjeo8fwz17TqY3W8ujQR/nojY/o168fl112WaOZSXbtnsqCBdeRmXk0xUXPs2lpFZ88vwjDUI1GYmgWDYtF47Qbiug5NOuQHrMQonMxAwH8c+fiLy3FN62U4LJloBR6SgruMWPq+2f06dMhw7/fLn2bOZ/NQVc6OvXnOxMTUzMp+VEJ548//5DvlxBHij3NdpLbOy0RaNSVnTRVHTWYXeVjRmUt08trmOcPEI4/17PWYHilQYlhYWxmKv16Z+As9KK3sJ7DRbJeV0qAkWSS9Y0mhOi8oobJxH/OZN7GXcws/DdpG7+CH78LvY9JLDPrvTf57qV/M/jcM/kN/6MgtYBbu9zKF59+wVFHHcUpp5zSaJ1btkxh+YpfU1DwYwb0f5CqnX7mf7GJlTPKCAcN7E4L/cfmMfzk7jLyQgjRTLSiAv+MmfhKY/0zIhs3AmDNzo6VmoyP9dCw5eYe9H1ZsnEJU/49BatqfSRIVIty+bWXy0gMIQ6hhmUn21ZXUb5578pOQqbJwpoAMypqKd1RxWxfgCpi18BdgibDKw1GmhbGZaRS3DsTd590dEfnGBF2ICTrdaUEGEkmWd9oQojObVdtiLOfmoqHAJ94HsQSrIAbvgVvbLYApRQfP/MXln3/NX2vPZ/7tz/BKT1O4fja45kzZw7nnXcew4cPb7TOVat+z8ZN/6R//wfJyjyOjZv+SVnZuxhGLRZLCnl559Kj+/W43T074IiFEMkkvHkL/umliZITY/duAOyFhfX9M8aMwZKaesC3/fA/H8bYZDQaedGUiYmlh4UHr3vwgG9fCNE+4WCUHeur2yw7ye/rJa8wnS7dm5edmEqxwheMBRrbKplVG2CrFiuB9UQVxZUGJcrK2IwURvfKJL2XF82WvFNEJ+t1pQQYSSZZ32hCiM5v4eZKLnq2lHO61fDnitvRsgrhuk8STT0j4RCvPvgrdm/djOvqo3ly0z/4SfFPcC90s3HjRq6++mp69OiRWJ9SBgsX/YTy8i/RNBtgolQ08bymWdE0G0VFT9Ml6/hDfLRCiGSlTJPQypWJ2U38s2ejAgHQdVxFRbgnjMczbjyuEcPR7c3r2U3TJBKJUB2opiZYQ00g9lMbrMUf8uMP+gmEAwTDQUKhEFWLq7Cw55mSDM1g0NGD8Dg8pDpTSXWlku5OJ9WZit1ux2q1YrPZsNlsWK1WmQlBiIOszbITu05urz2XnWwOhpmxq4ZpWyqYVeNnpR4LNKymYnC1SYmyMNabwvheWeT0TEdroRdHZ5Ws15USYCSZZH2jCSGSw2uzN3HXGwt5tGgzF626C4ZdDuf9LdHUs2Z3OS/dcxtWh5N1Z2fw3taPeWT8I6z8eCXhcJjJkyfj9XoT66upWc7MWWcBrf+bousuxo75UEZiCHGEU0oRjUaJRCLNfsLhMP6QH1/Qhy/owx/2EwgFCIQChIIBzB27YWclWqUPLRDBtFiI2GwE3XZCDisRqwVT09FNHV11/AWGQqFZNDSLhm7VsVgtiXDDYXfgtDlxOpy4HC7sNnviubZ+GgYkEpQI0bLailBippNta/a+7KQiEmVmeTWlmyqZUe1jkRYlqseWKaw1GaksjE3zMKFXFr17eNH0zvvfX7JeV0qAkWSS9Y0mhEge9729iJdmbOSz4VPpv/yvcPojMPbGxPNbVy7ntYd/RdeBg3l3+HpWVa/m6bFP8+XrX+L1ernuuusSM5MsX/EAW7a8CkRb2VpsJEbXrpcxcMDDB/vQhBD7yDCMFoOFtn6CoWAsZIiPZgiHw7GfSJhoNEo0EsWMmpiGiYo3+dXY+w/7US2KoRmxH91AYeKKmHgCUdJqo7j9YSxRA3RFyOsglJ1KpFsGlsz0RFDgdrjxOD14nB5SnCmJERRprjT+8Oc/tNn/ouF+nPvjc6kKVDUf1RGKBS6hcIhwJP43iEQxogaaqWFRFqymFYuyJH6sphVd6diUDYuy7HPwsjeBx94GJBKUiGTXZtlJerzspLD1spOAYTJ3RzXTNu5mZpWPeXqUWkvsv4XcoEmJaWVMmpsJPbMYUpCORe/4ALVOsl5XthZgHD7dSYQQQuyVB88ewrJt1Zy/9Bhm9F5Jyif3QO4Q6HU0AF37D+TkyT/j0789zpX5p/BY+nZ+Pf/X/PGcP/L+G+/z9ttvc8kll6DrOmVl79JWeAGgVJSysrfo2WMSum5H1+1oWt2tfCgWoi115RB7+mltZEPTUQ4NL7AjkQhGxMCIGuzLF1sGsUChLlyI6g2Chrr7FgNlU2hWDYvFgsVmwWa1YbPbsNvsOGwOnPb60QhupxuPIxYypLhiQUOKLQWPzYPb5sZtc2PTGw8Dj2zfEeufUTodX2kp0e3bAbB1717fP2PkOKwZGS0eh63A1q4eGLbuNkb3Hr1XfyOlFIFogOpwdewnVE1NuKb+fjh+PxR/LliDPxgbiRIIB4hGoy2GHxYzduvUnLg0F07NiQMHduzYIjasYWtiNIpmaIkAyYgamEbr0163ZX9DkvYsK0GJONDsTisFAzMpGJgJtFx2smbuTqDlshOX28ZR+V6OyvcCYCjF4u3VlK7fzfRQLTOtUT6K1sKaWlJXKEYaFsakupnQI5OR3bw4OlGgkexkBEYnlaxJmRAiuWyvDnLWU1PJsQV5z/kAlmAV3PgtpBcklvn6v39n7kfvMvSqi7iv6mmGZA3hhvQb+PyzzznmmGM46aST+PKrvrRVPrJnWjzUcMRuNTtaPORI/NSFHc0ec9QHIg1+r1u+0Wu0xuvU6h6zOBovr9nkw7Nol7bKIQ7kj2EYe79vKJSuGoULES1CRIvUhwtatNXwQekqFjTY6kMGh8OBy+7CaXficrpiIYMjHixY3XhsnsSP2xa/b439brc071NxsCilCK9bF28GWop/xkzMmhoAHIMH4RkXm93EPaoE3RXr/7Nk4xJe/dcU9Da+3zOJcul1h34WkrARbhR+NAs9Gt5vsExNuIbaSG3LK1Ukwo80axrplnRSramk6Cm4dTdu3Y1Lc+HSXLFABBs2ZcNKLBTRzFggEo20/v6PRqNEo22H263Z1xEke/MaCUpEQ/tTdqKUYm1ZDdPW7WJ6RS1ziLDeHQst7KaiyLAwJsXNhO4ZjMlLJ9126MYRJOt1pZSQJJlkfaMJIZLPrPW7ufz56VzWy89vy29F69Ifrv0YbE4ATMPgrT8+xOaliyiYdA4Pb/w/Lux7ISPKRzBv3jwuuOACdldMxDBa+ZDcgK47GdD/YUwVxjRDKDOMWfej6n9XLTxmmqH65xo9Hn+NCqPU3l/ktb6v9SNE6n8cLYcruqONgKXtEKUugNFaea5+lIp8yN5b+1IOsS8/+0KzaGABdFC6wtRNDD0WKESJEo7/LxT/X4ujG+LLN7xvt9lx2p047A7cdjcee+MgoVGwUDeaoWHwYK1/3mFxHDbvOxWNElyyJDZd67RSAvPmoSIRNJsN14gReCaMx967N7Mee4xpY8ZgahrKUt/QUzMMdKWYMHMmx/zjH9gbNDLu7KJmlNpwbSLQqApXtTwKpJVRIaZqfaSGrumk2lNJtaWS5kgjzR77SbXX30+1xUIRj+7BpbsSI0WsWDGjZrPAY2/+22u4/P4EJQeyzEaCksPH/pSdKKXYvq2G0rW7mLG7hlkqyvIUDUPX0JRigGlhtMfF+G4ZjM9NI99x8ALeZL2ulAAjySTrG00IkZz+V7qeB95dwpPDN3PO8rtg+JVw7jOJpp6B2hpevvd2wsEA4SuK+ceGF7i75G4isyJs3ryZ08+ooLr6w0azjzR1KHpgKGW0GGw0DEASt6pJWNJWiGKE2hGwNA9XlNq3i9uWaJqtUTCiNRyx0tYolVYfd7Q+IqVpuNIsWLGjaXueraE1pmkeklELprn3Q+R1PdZoUbfq6Fa9Wchg6mYsZNCiRIgkQoagChJUQfymn4AKtDmywdAM6lpAuKyu+jDB2kawUBc8tBBC1L3WZXXJRVI7mYEA/jlz8ZVOw1daSmjpssRztSkeVvQfwPpePYnabFgjEXqt38CAlStICYbwXnIJ+Q/c34F7f+gopfBFfK2O+KgKVbVeChOuJmK2fQ702DyNQw97Wn3w0eR+4id+v+mInvacV/bmvNPasvsalBzoMpuWlrdarehSqnDQNCw72bo6FmrU7G7fbCfKVFRtqWHm2nJm7KpltoqwME0nYI2dswtMjdFuFxO6ehnbJY1+7gMXICfrdaUEGEkmWd9oQojkpJTijtcX8ubczXw1Yip9lv0VzngUxkxOLLNr80Zeuu+XZHbtxqwTonxbNpUnjn6Cee/NQ9d3UVT8FqYZbHUbR+IsJEqZmGYkFpqouuAj1CwwUU1Cl8aPN1++fSFKqPE642HOgWMh1krLilJWUBaUsmIqC0rpmKYF09QxDR3D1DAMHcPQiEY1DEPDNHWUacGML6tMHVNZ6n+PP6fq1qMsWHQ7uu7EYnFgsTrQdBuabkPpVjSLBWWJhwya2ahcIkIkETKECBEwA/hNPz7Th8/wUWvWEtbCsbIJre3PRU6Ls1m40GhEQyuhQ90yDUMIl9WFRd/3IEgcONGKClYffwIqFNrzwpqGo28hmtOF7nSiuZzoThe6y4nmcMZu6+47Y89pTkf9Mo2ei9+64uuyNZ/eMVkppQgawT2WuTQtjal7PhANtLl+h8XRKNRIBB5191sYFZLuSCfNnrZfYV9rQcn+jB451EHJ/o44kaCk3h7LTvp6E6UnqVn1ZSfKMPFvqmH+2l3MKK9hloqwIF1ntyP2d/UqjdEuJ+Py0hmfmUpRqhvbXsx0sj4Q4tmNO3hjewU+w8BjsXBRbgY39cihl8txUP4WB5oEGElGAgwhxKEWjBhc9Ow0NpbXMr3X87g3fQdXvw89JySWWT17Bu8++jv6jT+Kf/eczo7ATp4Z+wwfvfIR3btX0a3gA0wzjKbVf/OtlI5Ft1NU/Axdso7vgCM7PByYcogwkUiQaDRI1AhiRIMYRijxY5ohdN1E0w10zaj/XTfQtbrfTXTNQNPNxOMWq8JiUVgtCt1iYrGo2HINlkcz0LQoaFE0osSavhpoewgM2stUEFWxtUYVRJVGVIGBhsKC0iworKBZY8GHVj/KxKI7sFocWC0ubBYXdosbm9WNw+rBYfXgtKXgtKXisqZitbpaKPVpPnpF+qgkn2WDBoNSVOfrlJ+uYysOottMzIhOZKGTLh+bpG2LndtSTzkFMxhEBQKx21AQMxBs9Bj70LcEq7U+1HA2CEMaPNYoMHG60J2OZoFJq2GKy4XucICt878/I0akceCxp+anDZeJ1LS5bqtmbR56NCl9ae1+qj0VXTv4F+9Ng5IDHZAczKDkQJXkJGNQsq9lJypiEtxQxYq1u5lRXsNsM8J8r4VNntjzTgUjXE7GZacxLjOVkjQ3KdaWA/Avd1Vz/aI1REwTo8FoSYsysOk6/ywq5KSstIP8l9h/EmAkGQkwhBAdYXOFn3Oe/oEe7jBvWe9HD1fDDd9CerfEMtPfepUfXn2BYRddwMPGv8lwZvCbfr/hndffweWqpVu3pWTnrMViiWAYNnbu6ENZWRHnnjuJfv36deDRHRyduRxC0zTsdvteN8Cz2WxYrJbEaIaoFk2MZggTJqRioxkCKjaSIWAE8EV8+CI+/BF/7Pdo7Pe6+2GzpdEfCh2wavEfFE7dSorNSarNicfqwGN14LbacVvsuK02nLoVl8WKQ7fisOg4dB2bpmPXNKx6/Xp0TCwoUJE9lvocnD4qGnoiKHE0Czwa91Kpb17b7lKftprSNl1vvAyos1+wdrQVJaPYOihMdKIfdEXDwTGmAZga1hfcdF3uYMDsWXtcn4pEMINBzEAAFYwFHCoYwAyGYreBIGawwXOhBsvUPRcIYoaCsdtgw+eC8dcF9i0osVjiYYirPihxOBs9prmc6I4WApNG4UjrYYrudHZYUGKYBrWR2rabnbYxKsRo4zygoZFiT2mxrKXZKJAW7jedPaej1f0bdrACkoMRlBzoniUHMyiJlZ3Usm11VSLUaE/ZiRmKElpfzaY1u5m5s4bZKhZorEzTMTUNCzDY4WBsl1TGeVMY6/WQbbexPhDiuNLFhNoo83Qog2/HD+30IzEkwEgyEmAIITrKD6vLmfjPGVzTL8j9ZT9Hyx4A13yUaOqplOKDJx5h5fSpDL3hcn61+c8clXEUOfNy2rzIttls3HzzzWRmZh6S41BKHZImjvvbYf9A/VisFgzdSPRlCKswATPQKEyoCxl8ER+BaKDRfX/U3yiECBqtlwM1pGs6bqt7rxpFNiyjaLqsvYMblppmtEHflMZlPfWlPnvoo9KOnimtlQAlmtXWrbuNvjJ7q1kvkzZm+2nUXHZvZ/ZpEsgkGtI2G6XSub5ZXfq7W9gy+mN0W+ufjc2IRrfZZzD4vicP4Z61rVlQkgg36gOP+hEiewhTGoYjwQaP7W9Q0nT0SCIocTQrxWmr3KZRwNLgOe0ABiUNp7ytClW1OrtLa6NCQkbbZUguq6vN0KNpMNKwFMZpdR6QY+wIeztj0/4EKvuiYchxsJq61gUlbZWdZHX1kFfYvOzE9EcIra2ifE0Fs3ZUM0eLMj/DwuJ0CyFL7L3f227DNEJsjCpUGwGGRUU536Px9NiSffpbHSoSYCQZCTCEEB3puW/X8IePl/PcqC2cuvhOGHEVnPN0oqlnJBhkyoN3Ub1jOxmTTuaT6d9RWFvY5kyquq5TUlLCmWee2WawcCBHM+zLv3EWi+WAhwstfYgBCEQDjYKDuvCgaZhQF0I0ut8gdKh7TXu11iyyrRCiYX+HRD8HaRx50MX6qDQNUdrqo7KHHivtnO2ntZEqB7KPiqZZW5/tp7URKXuY7adZ8NJSINNiU1o7X75xPmQspa22JKYBVAzhlEveO2B/h2ShIhHMUChRItNoZElLo0eCoSahSPy5hiNK6taVWD4I+3IBquvtGz3SQmDSbESJq0HA4nA0WKerXUFJyAjtudlpK6UwvoivzXXbdXvLZS5tNDute95j8xwR5+r2BCUHarTJvrBarS30FLGhohrRoCISUARrDFRUQ8OC3W4jLdNDRnYKGXmpZOSk4HDYsUQ01I4g4bIgKypDLLbqLM5wMDXblvis1hanGWL9SWP36RgOFQkwkowEGEKIjqSU4mdT5vHxom18M/J7eiz5G5z5GIyelFimunwHL95zG05PChuz8qGdX87pur7f5RB7++3I3vy0NoxUKUXICDUKDRLBQ5MRDk1Dh0Ak0CyE8Ef9bU5P2FBd48g2G0U2mAKzrREOLqvrkNRvi8OTUqrVESrNpkZud6Pa5qNa2jNtct3vbSane3Vs7frcj1Jg1bo0fnCfrgubvqjl49Ba/+XA28tVN1+8rRW08v9T0+OquzZRKhZCKxV7rYo/l3iM+uebPJ54LQ2fq3+9qltfu4+r4ZNabAFNi79htFgw0PCx+E/icZo+ptWvh/rHlaahGvzPVAqFGbtVJibx2/jjSinM+K1Sqs3/EmKb09A1HQ0NTdPRNa3+MU1DJ3araTp6k2UOrUN9fbpv24u93VSz2/q3V/Pn6m8bvFcT61Mt3u6Na+0vQDv+jdeUybYTR+71+g+l1gIMa0fsjBBCiM5N0zQeubCY1dtrOW/pcfzQcwWuj++GnCHQczwAaV1yOOf2e3j9t78Gbx7t/eQ7YcKEfSuRsOz9bA0RI9IsOKiIVMQe88dGMLQ0oqG1ECLazuH8dt3eLDhId6STn5LfrhAiMTIiPjrCqss/1+LgU6aJYRiYRhQzGrs1Gv4ejWIaBmY02sJydfdjy8SWjWJEDUxDYRo6ZtQam4HGsGAa9vr1RCMNXhNfT9P70QbrbLTtCIYZBRVBEUURAaJoFoVuUWh1P7rZ6L5uUWh6g98tJnmjytv9t9q54sBNkdyRDvnXmAdsg1qT206i3cen9mZhYsfZ9N/A/Tt21cJv9Y/Ew3XNoOlijUdxaIkbrcH9hsto9U82fqzxA+zhgTZGj2iNbvb2dc033cbfVWvfa9q3zpaOseXn6rI3w1CYpsI0wKwLOTQNzaKh6zqaruHsESSIu/VjiHPSvjLRzkg+EQkhhGiRx2HluYklnP30VK6puoEp6evQX/sx3PgtpHUFoGDQUE667ibe+vYHaE/AYIWTTz651aejZrQ+aIhW4Av68NXEw4Sor3m40DR0aBJIRMz2XWRYNWuzng0em4ccd06LZRRNRzw0DSI6W5M2cXCZptH4Qj4abXLx3foFvxGtf6z5RXuD19U91+B5o8Hrmi8babZPidc1uF8XCphRA9XOEUH7S7dY0C1WdIsFi9WKbo3/Hn+s0X1rbFmr3RFb1hJb3lK3jvjzlgav0y3W+LKWxG3dso230WA5i5WlG8/HYt/z38CM6Jx07nsNvkGte6bJt6Z1FxiJp5t/q9p02dYeT3xHq5o8n9gmrSzf5HUNHlet7nfzZds8nv3Zt1a21fq+tbwP7flbt7we1ep+7+vfutm+GwYqEkVFwqhoFBWJNPoxI5Emj0dR0QbLRI36+9G656Lx36OJ5TEMVCsX861GJZoGViua1QpWC8piQVktmBYNU9cwLRqGDlEdoroioimimklYM4loBiHNIEyUsGZi6mC08GPqGrrFgk134LDYsVvs2HU7Nt2W+D12a0s8ZtNtiftW3ZrIe9r/Pmnt8b14n+zxvdb6+0TR1r7t6T1Zv73W3r+aUmimIhyIEg5ECQUihAMGyjSZcO33fKufiKG1/jnEoiJMML8HJrS6TGcmAYYQQohW9eri4YnLhnP9f2fz6MAHuHPzz9Be+zFc8yFYY92ri08+jRe/eQu3ymtz2KKJyXr3eu749o5WQ4g9NT+ro2t6s/DAbXOT6cxsV6PIpj0gOrpx5JFIKRX7xr+lb9+jRuyb/4YX2nXf7je5UG81HGgaIrR2wR+NtrKtBsvWvTYaaXFbTT+QHiyJC+7WLtobXvxbbVjtdnSre4/hQCIY2MMFv6WVbTUMAhKva22dFkun/W9t+YoiTMuCPfbA0APFZHYtOHQ7JkQ7KMOob77asIFrvFlrfQPX5r1LGvUqCQTqe53UNm/uqsJ73wdHaWDYLETsOhGbRsimEbSYBK0mfotJ2AYhG9TYIGwldt+qEbJB1K6ju1xYnW6sLg82TwoOTyoOdxouTzrulAw8qVm4UzNIS8kizZGe6P/hsXmOmJLJutlO3N/8lKldj8OgjQADg2O2LTmEe3dgSYAhhBCiTScOzOUXJ/Xn/75YyegxD3HCwjvhozvhnPou/HNzlnJ0eW6bI1p1U7HFuoaK3RWJMCHfk9985EOT0KHZ7BU2D06Ls9NeBB1sSqk9XOQ3HO7fZLkWXpdYbm+H8Dd4XYvhQMN9amUfDwVN09v4lr7ugrvxN/o2hxOLu+VwoOGFeaPXNb1vbeGi3tLy/fpRCK2HCJquH7Hv+UOlqOReFi67DCxtBFKmRlHJPYdup4RoJ81iQfN40D2eg7qdZkFJiw1c68KQptP/Nm/uagYCRAM+jJpA4nktGEKL1P0bYQI18Z89C9qgOhGCQNRuwXBYUQ4bym4HpyM2o43bFQtE3B7srhQcnjQcnjRcKd5YKJKSgdXtaTbjje50ojkcaAdp2tV9pesaXQpSsczJ5Za8/+Mp/TYMLI1GYlhUBAsGt5j/h3VuD5jYgTu8HyTAEEIIsUe3nNiXRVuqmDxb47uRN9N17t+g63AYdR0A/bY4cJSvIdStMN4prME/7MoEpXBsWUP/kIu//fz9DjmG1uv72xiK3+Jw/70fwt9WONAwaGhe3990uH8EtQ8NUPeFpuuNvqXXm1zAtzSE32p3t3LB357h/g0ChWZhQMPX2VoPIhq+Lr5cZ/uQKTqv3B6j6Fp2N1sr/gS6ajQSwzQAU6Nrxt3k9mjWU06II8YhD0oazXzTePpfIxAg5KsmUFtJsLaKUKCGqK8Gw1+LCvixBPzowSAqFEILhtFrA+jhGqxhA1vYxB4Fe5MsPRz/qdzD/hn2eCjidMSn/nVicbqxuj3Y3ClYXe7WZ8NpbeabplMF70NQEvGNJv+Hbfy/CXfxqX46P3AcQZw4CXKU+pZTzY/RpvWgxjd6r9bbmUiAIYQQYo90XeMvlw7jvKd/4Lxlx/N9z+U4Pror1tSzx1gKt6aghauxrl1KODOHSHoW6BYwDWxVu7Dv3oEeCVEYcDH/s48a1/c3+1a/jXCglSH8Ldb3NwkiOmt9v8VqxeZof31/e4f7N63vbxhEtPg6q7V+OV0u/MWRaciYyXTZOIJFc/6A4VqIbjMxIzp6oJiiknskvBDiEDkUQUkwGqQqUEFN7W5qasqprd6Fr2Y3fl8lQV9VLBTx1xD11xLx+4gG/Zj+2AgTPRzBETGwR4PYI+CIgL0GHLsVjgg4ohrOqBYLScIKW3TfSg01p7PZdL6609kkBKmfGjh/e4BNkWOx7/yG80t+YGK3/2KxRDAMG7Vb+lI+p4Cw71i6V644wH/NQ0emUe2kZBpVIURntGp7Dec98wMjsuEF4260aABu+JbHJk/e73XXX8C3r76/WRjQSjgQu2iX+n4hxN6Tz2NCiJZEzAg14RqqQ9Wx23B17CdUTU0k9njisXA1NYEqAv4qgv5qIj4f9mgs6IiFHwp7NB6CRMEV0UlTDlJNOx7Thtuw4jYsuKIajgahiDViYAlF0cNRtFAYLRTGRyozR99LlABGaA5GaBmxMSV2LI5BWBwlWHExZvbvKZn3fUf/Gdsk06gKIYTYb/1yU3n04mHc/NJcnih6mF+svxle+zF2l5dwILDH19ucLq5/4nmp7xdCCCFE0rLpNjKdmWQ6M/f6taYyqY3UNgo56sKQhvc3N30+HpC0NaX7fx4rp2jJP1g0ZBIW53Eo90mJ5zQziqYMipb8A8z2Txvd2UiAIYQQYq+cXpTPTccV8vi3axg9/mGOmncngwrOZNHaMKZhtPo63WJh8LEn4vFmHMK9FUKIvbNl7RI2ffhnhpZ/wrEEqP3axeIup9H9zDvp1mdIR++eECLJ6ZpOmj02U8reUkoRiAYajfhoGHB8P+QPnLRgKWNm/Z5NBSdSljcGw+LAYoTIK5tJ981fYQ+X88VwjZKDcGyHggQYQggh9tqdpw5gydYqrp2p8/3Imxg15z8s0cbRVpcJ3Wpl1JnnHapdFEKIvbbg69fp981PySaKXYsFsikEGFn+HtH/fsSC459h2AkXd/BeCiGOVJqmxWZos7nJ8+Q1e/7so57kuMW1uIPlDFj9GgNWv9ZsmaANvp6Qwm2HYocPAunQJYQQYq9ZdI0nLxtBTpqDC1achLv/OM7pugSrzYrepBJE18Bqt3PObffgzcvvmB0WQog92LJ2Cf2++SluLZQIL+rYNQO3FqLfNz9ly9olHbSHQgjRtrFDT+CJ83SCNog2udKP6rHw4onzdMYOPaFjdvAAkABDCPH/27vzKMmqOsHj319EVkFRhdCCoBaLYOPCJsV2YAQFRhmWcRBFhWkabEFGFBumR6e1UbHl2DLqtMsg0rbQLu3o6AgjKpsiNIjQLIIFJa2AgGy2oLRUFVBVEfGbP96NzBdRkZVZWVRlZNX3c06eeHG3dyOXm+/+3n3vSVPyR3Nnc/7xe/H4U23e8fS7eNFWwYnb3cBum/+G2Y0WkMxutNht899w4g63ssO8J6a7y5I0qtNJlrc6PL28zeJnVvDAdz/OCONfWw4wQov7v/sJfr90Of/21HL+8PQKlixr8dTyFs+saLOs1abV7tDpJOv7jfIlDZ8T//Aki3aE957U5Id7BE/Nhg7w1Gz44R7Be09qsmhHOOHJJ6e7q1PmU0iGlHe9ljRTXHzbQ3zqm1dy1cZ/yaxcPn7BWZvAqdfDc3dcd52T1rXM8tUBymvmBNv9dSa7PVG7/dsMbCuzQ6fdod0Z++p0umltOvW0Tod2u2xnh3a7TXaSdnbodNp02lm9Zo6Wz+zQbieZbTqdpJMdstZeZpnwd7czyU7Vbier/nXzslPlk+V9duuVgEFW/aKk061f+x5nSQuyfEGDDm9uXrPSyotBlmeTi9oH9v7Yib73lQgIgoiqTLVCLUp6VaDntZvXrQdkyavSVy7X3Ybecv37afTsr9bWaPtj9cfqRq3sWHtV842x/fWUq6fV69T211cuot6PblpVsbFSfv1zNmqfERp9nzt69lX/flT16j+PRv170/1ZRfenUPuBrmRA2krlJlNmvHJT2d9a7teU9/dstjXZ/Q1qfn36PvSW63z3dK6fHfzFVlvSiqBVKz+SyUgmf/vbx3llexaNv3poQFvDw6eQSJLWiqMXbMP8668lH2sP/F87qr0CfnIuHPaxVU+2stxJY1KTuAGTwFW221+f1dxHmQSu1j7q/ZrsPsr0Z433MdHEdh3vY7Um5ZPdB5Ps+6Cf+crtZk9bZcK7in5GLS1Gp60zSwDN8jWTdappavUjpgFRC1E0okqDkt7ozsLJ8jpr+cTBC4BZtHnd3J+PJZTf87GfftKXsHJurlRg7O+lJyvHmiuv3d+zeu0ge6pH9VvbYzStr9ygturdiEme7Oz//R/09zB46jWoXH9bg0yt3mT2V2+9+9qImfn3rQ1LAzjwabjo4d/wledsyvc2ncvSCOZm8h8XL+WEJxezbatFh2XT3dUpM4AhSVpj+zz5Q2KiM5edFXDLBdWX1pEYnaQRjVVvj76v0nK0boMspyUzGtVryRs7f122o1EO9qv33Qnl6GsEmWMTzGrqP9ZOB8is0kfPj2e13aFBJrQZITNKmQadbv6A13YGnbK/dqnT7pS6Ca0s5TNoZ9AmS9vR06/uZ+mGKJJGeR1Lr0+eO9mbT08bVb+736f+fTXKI4UjGkQjypnioBGN6nHDjUZ1ljmaNBpBo1GVbTQaNKIBjQbNCKLRLGlR1Wk0qrKNBs1SN5oNmtEgGk2aJb8q16TZiJIeNJulrUajlGvQbDZo1up1y4w0GjRHuunVa1W2wUizSaNZlWk0Gow0GzSbTSIa1e/h6O9f7+/iytuDf3/X9LroJWc9n3lM/DjoJcxh0/ffvYZ7Wz9kJu1Olr+jKojSzrJyplOljb5PStlqu1Orm1m9rpRfVtZ0srrkp91Xt7vdrTtatuyzWglUfz9WvtPJwduZ5X33M3U/A5P7HJ0O7U73M419ZelLu6wA6vR9jhzQ3+z7HN0VSvV+5sB+1fs91n73c3T72emLyUwm6DTZANDkgkdTq7e6+xtdYVNW3TSjWmHTGH3t5geNBjR7ykf5ytHtiG6ZWr2AZoPR7bF6VbmovwcajfHb7t1HjO6jGUk0qjVBzZ62xz7LG296C3NjGdu2Wpz5+yc48/dPDPjOwNLcmE0H5gw/AxiSpDW3fMmkiiUQh3xwNSbVY2dMB09kxpvUrM7EvVufcfdRTXCriXErod2pJsTt0YP1oJVBuwOtHJsct0vZVkKr093upudonRXloLZV2m0ltNrJioxSDlqdoNWBFZ2qXLUdtDsdWh1YXvJbnU6VntDqJK12p2qjk32vHVrt8r7dW65bZjo1G8FI+Wo2oprsdtOaUU2U6/l9ZcZeG8xq9r4faQTNZjCr+74nP5jV10693FjbtTLNYFb3/QRtdeuN9Wksv9F/B1ytU3dueRh7Pn7JKi8jWZ5NFm15OPutw34Ns4jqd14z1yqDR7VgSj14NFHQpze41B8oGhBQ6g8YdQYHoeoBsm4gpjcINla3/rlGt2sBnf6AWLdurtTfvj4PCIi1e8rW6tb61h7ncwwKyK38mTq9wbrsDdZlfVXVyIG8pXn1hOPYxe0DOGEd/H6tDQYwJElrbFljDht3npqw3NOxCTc//8Rq0t3unVCvGDjR7rCi3ft+dMJdJuHtTva01RrQds9kvb+tUr9qq71S+61O78HBuhbB2OS4TJbrk+GRQZPz2gR5k9kjq55Q1ybSve03asGC3ra7wYLeQMFYYKG37VW30xynrZjstczSs2TbI99L68uXMpvxD/xbjLDtke9Zh72S1q7qzH4VNNbMVA9mvO4jj/FGrptwHPt683UGMCRJG66L2wfwRq6aMOL/rdYrOevCm6a8nzU5Kz97pMGcSZyVHxkYGBhv0j42OfesvDSzzd9xF3520OfY6Zp3MUKrZzxbnk1ajHD3QZ/jFTvuMo29lKReo0Eogr0X7MVpN5/BuSOfHnccO611Bnvvs9c09njNGMCQJK2x85cfzlGz/2nCiP+F7SP49qn7D1gp4Fl5SdPvFQe/iYe335kHv/9Jdnn8MubyDEvZmEVbHs62R77H4IWkofb2A3fksFv35LDl53BS81Le0Pzx6Dh2UfsALmgfwWMjL+TyA3eY7q5O2bQEMCLiTcCHgZcD+2bmLbW89wMnAW3gzzPzipK+F/AlYA5wKXB6ru/PgJWkGeJ3s+fzzhWnc96sz4wb8X/nitP53ez57LX9c6exp5K0avN33IX57/4HYOyx9t7zQtJMsP0Wcznv+D155z/C2e23cVbrz0bzRhrBrJEG5x2/J9tvMXcae7lm1vSGzVN1J/AG4Np6YkTsDBwL7AIcBpwXEd2nen0eOAXYqXwdts56K0lapdcveCE/ZgGHLT+Hr7cPYXHOoZPB4pzD19uHcNjyc/gxCzh6wfzp7qokSdJ66+CXbsXlZxzIcftux7yNRghg3kYjHLfvdlx+xoEc/NKtpruLa2RaVmBk5l3AoKXARwHfyMxlwH0RcQ+wb0TcDzwnM28o9b4CvB64bF31WZI0vrcfuCPfvvVhfr1ia85q/VlPxL9rzkiDk2fwkkVJkqSZYPst5nL263fl7NfvOrqSbH0xbPfAmA/cWHv/UElbUbb70weKiFOoVmuw9dZbc8011zzrHV3blixZMiP7LWnDderuI5x7e7s8YnQsvVmejX7q7iPcd8fN3Dd9XZSk1eLxmKSZbn0bx9ZaACMifgg8f0DWmZn5nfGqDUjLVaQPlJlfAL4AsPfee+dMjDitb5EySeu/g4CjDlnKF6+7j4tve5ily1rM3WiEoxfM5+QDd5jR11tK2jB5PCZpplvfxrG1FsDIzNdModpDwLa199sAj5T0bQakS5KGyPq8ZFGSJEnTa7pu4jmeS4BjI2KjiNiB6madN2Xmo8DiiNgvqhtnnACMt4pDkiRJkiStZ6YlgBERR0fEQ8D+wPcj4gqAzFwEfBP4OXA58K7M7D6L71Tgi8A9wL14A09JkiRJkjYY0/UUkouBi8fJ+yjw0QHptwC7ruWuSZIkSZKkITRsl5BIkiRJkiStxACGJEmSJEkaegYwJEmSJEnS0DOAIUmSJEmShp4BDEmSJEmSNPQMYEiSJEmSpKFnAEOSJEmSJA09AxiSJEmSJGnoGcCQJEmSJElDzwCGJEmSJEkaegYwJEmSJEnS0DOAIUmSJEmShp4BDEmSJEmSNPQMYEiSJEmSpKFnAEOSJEmSJA09AxiSJEmSJGnoGcCQJEmSJElDzwCGJEmSJEkaegYwJEmSJEnS0DOAIUmSJEmShp4BDEmSJEmSNPQMYEiSJEmSpKFnAEOSJEmSJA09AxiSJEmSJGnoGcCQJEmSJElDzwCGJEmSJEkaegYwJEmSJEnS0DOAIUmSJEmShp4BDEmSJEmSNPQMYEiSJEmSpKFnAEOSJEmSJA09AxiSJEmSJGnoGcCQJEmSJElDLzJzuvuwVkXEY8AD092PKdgSeHy6OyFJa8BxTNJM5zgmaaabqePY9pn5vP7E9T6AMVNFxC2Zufd090OSpspxTNJM5zgmaaZb38YxLyGRJEmSJElDzwCGJEmSJEkaegYwhtcXprsDkrSGHMckzXSOY5JmuvVqHPMeGJIkSZIkaei5AkOSJEmSJA09AxiSJEmSJGnoGcCYgohoR8TtEXFnRHwrIjZZg7aeHxHfiIh7I+LnEXFpRLyk5O0SET+KiF9GxN0R8cGoHBQRN/S1MxIR/xoRL4iIL0XEMSX9moj4RUQsjIh/iYhzI2LzNfoGSFpvRERGxFdr70ci4rGI+N4atLltRFwdEXdFxKKIOL2W99yI+EEZ034QEX9U0l8bEbdGxB3l9ZBanb1K+j0R8dmIiKn2TdL6JSKWrMW294iIG8o4tjAi3lLL2yEi/rmMZf8nImaX9D8pZRdGxE8i4hW1OoeVY7J7IuJ9a6vfkmamiNgmIr5TxpV7I+Iz3bFlFXXOGG8uGhFfK2POnRFxYUTMKulRjqfuKWPVniV9tY/fpoMBjKl5OjP3yMxdgeXAO+qZEdGcTCPlIPxi4JrMfHFm7gz8FbB1RMwBLgHOycyXAK8A/h3wTuBaYJuIeFGtudcAd2bmowN29SeZuTuwO7AM+M7kP6qk9dxSYNcy5gC8Fnh4dRqIiJG+pBbw3zLz5cB+wLsiYueS9z7gqszcCbiqvAd4HHhdZu4GnAh8tdbe54FTgJ3K12Gr0z9JmqKngBMycxeqcefTtZNA/wP4VBnLngBOKun3Aa8ux11nU26eV44NPwccDuwMHFcbFyVt4Mq88CLg/5Vx5SXAPOCjE1Q9AxjvZPrXgJcBuwFzgJNL+uGMHVOdQnWcBVM7flvnDGCsueuAPy6rIq6OiP8N3BERzYj4RETcXCJb/2VA3YOBFZl5fjchM2/PzOuA/wxcn5lXlvSngNOA92VmB/gW8JZaW8cCX19VRzNzOfDfge3qZwQkbfAuA44s28dRG0siYt9yFvG28vrSkv7WqFagfRe4st5YZj6amT8t24uBu4D5Jfso4Mtl+8vA60u52zLzkZK+CNg4IjaKiBcAz8nMG7K66/RXunUkCaAcg32v9v7ciHhr2b4/Iv46In5aVnK9rKTPLWckby7j21H97WbmLzPz7rL9CPBb4HllonEI8H9L0fpY9pPMfKKk3whsU7b3Be7JzF+V47FvUI2HkgTVmPJMZv4DQGa2gf8KvC0iNilzy0+WcWxhRLw7Iv4ceCFwdURc3d9gZl6aBXATY+PRUcBXStaNwOYR8YKpHL9NBwMYa6CcdTwcuKMk7QucWVZSnAT8ITP3AfYB3h4RO/Q1sStw6zjN79Kfl5n3AvMi4jlUE4xjSz82Ao4Avj1Rn8sfw8+oonGSBNWB9LERsTHVSq1/ruX9C/CqzFwAfAj4m1re/sCJmXkI4ygrxRbU2ty6u1KsvG41oNobgdsycxnVP86HankPMfbPVJIm4/HM3JPqLON7StqZwI/KcdrBwCciYu54DUTEvsBs4F5gC+DfMrNVsscbl06iChBT8h+s5TmWSaobNPd7Evg18MdUKyV2ABaUFV5fy8zPAo8AB2fmweM1XC4d+VPg8pI04Xg0xeO3daJ/2a8mZ05E3F62rwMuoLq846bMvK+kHwrsHuVeFMBmVMt07mNyAhjvGbeZmTdHxLxyNvTlwI21iP9k2pYkADJzYflHdRxwaV/2ZsCXI2InqjFpVi3vB5n5+/HajYh5VIHVM8o/4QlFxC5US7MP7SYN6vJk2pKk4qLyeivwhrJ9KPCfIqIb0NgY2I7qjGOPshLsq1QB205ZgdEv++ocTBXAOKCbNFEdSRu08eZ+3fTXAOd3A6erOv4a4Dzg2rLKv9tmv9F9T+X4bV0ygDE1T2fmHvWE8r9saT0JeHdmXrGKdhYBx6wi71V9+9gRWFKW9EA5a0oVwFjl5SO1NppU10Gt9A9a0gbtEuCTwEFUZxe7zgauzsyjS5DjmlpefczrUaL936Y6Q3BRLetfu8sUy6Tgt7U621DdF+iEsuIMqrMC29Tqb0N1tkGSulr0rireuC9/WXltM3bsG8AbM/MXq2q4rHr9PvCBstQaqnv2bB4RI2Uy0TMuRcTuwBeBwzPzdyX5IWDbWtOOZZLqFlGtQB1Vxp9tqVZ+rerk9rgi4izgeUD9dgbjjkdTOX5b17yEZO25Aji1drfXlwxYmvgjYKOIeHs3ISL2iYhXU9105YCIeE1JnwN8Fvh4rf7XgeOprpm6ZKIOlb58DHgwMxdO+ZNJWh9dCHwkM+/oS9+MsZt6vnUyDZWzkxcAd2Xm3/ZlX0J1k07K63dKnc2pJgnvz8zru4XLMsXFEbFfafcEvBGxpF4PADuX++ZsBvz7SdS5Anh3dzVFRCzoLxDV3f8vprpW/Fvd9HI9+dWMnYSqj2XbUa34+NPM/GWtuZuBnaJ6eslsqhNQEx67SdpgXAVsEhEnwOhJ5/8JfKncC/FK4B3dG6dHxHNLvcXApoMajIiTgf8AHFfuodh1CXBCVPajuu3Bo1M5fpsOBjDWni8CPwd+GhF3An9H34qX8g/waOC1UT0qZxHwYeCRzHya6mYpH4iIX1DdZ+Nm4Nxa/Z9T3SH7R5k57plQ4GsRsRC4E5iLN42S1CczH8rMzwzI+jjwsYi4HpjUE5aAV1Jda3lIVI+cvj0ijih551CNeXdTPfHknJJ+GtU1nh+s1eleX3kq1Zh6D9VZiO415ZI2YOVAfllmPgh8E1hIdQLotklUP5vqkriF5Tjt7AFl3ky1GvattXFpj5L3l8BfRMQ9VKvWLijpHyrvzyvlbwEoKzVOowqc3AV8MzMXre5nlrR+qs0L31SOkX4JPEP1hEqojoN+TTVm/YzqgQ9QPenoskE38QTOB7YGbijj0YdK+qXAr6iOq/6e6imXMLXjt3Uuqu+VJEmSNHNE9US1v8/Mfae7L5KkdcMVGJIkSZpRIuIdVJfSfmC6+yJJWndcgSFJkiRJkoaeKzAkSZIkSdLQM4AhSZIkSZKGngEMSZIkSZI09AxgSJKkZ01EbFF7/NpvIuLhsr0kIs57lvbxstLmbRHx4mejTUmSNPy8iackSVorIuLDwJLM/OSz3O77gDmZeVZfelAd23Sezf1JkqTh4AoMSZK01kXEQRHxvbL94Yj4ckRcGRH3R8QbIuLjEXFHRFweEbNKub0i4p8i4taIuCIiXhARRwBnACdHxNUR8aKIuKus7vgpsG1EfD4ibomIRRHx17U+3B8RfxMRN5T8PUu795bHcnbLvTcibo6IhfX6kiRpehnAkCRJ0+HFwJHAUcA/Aldn5m7A08CRJYjxv4BjMnMv4ELgo5l5KXA+8KnMPLi09VLgK5m5IDMfAM7MzL2B3YFXR8Tutf0+mJn7A9cBXwKOAfYDPgIQEYcCOwH7AnsAe0XEq9bS90CSJK2GkenugCRJ2iBdlpkrIuIOoAlcXtLvAF5EFZTYFfhBdWUITeDRcdp6IDNvrL1/c0ScQnWc8wJgZ2Bhybuktp95mbkYWBwRz0TE5sCh5eu2Um4eVUDj2ql/VEmS9GwwgCFJkqbDMoDM7ETEihy7KVeH6vgkgEVltcRElnY3ImIH4D3APpn5RER8Cdi4f79lP8tq6fX9fiwz/271P5IkSVqbvIREkiQNo18Az4uI/QEiYlZE7DKJes+hCmj8ISK2Bg5fzf1eAbwtIuaV/c6PiK1Wsw1JkrQWuAJDkiQNncxcHhHHAJ+NiM2ojlk+DSyaoN7PIuK2Uu5XwPWrud8rI+LlwA3l0pUlwPHAb1f7Q0iSpGeVj1GVJEmSJElDz0tIJEmSJEnS0DOAIUmSJEmShp4BDEmSJEmSNPQMYEiSJEmSpKFnAEOSJEmSJA09AxiSJEmSJGnoGcCQJEmSJElD7/8Da9Ipv6VWTocAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set plot size\n",
    "plt.figure(figsize=(15,8))\n",
    "\n",
    "# Generate line plot\n",
    "for column_name in bottom_10_df.columns:\n",
    "    if column_name != \"index\":\n",
    "        plt.plot(bottom_10_df[\"index\"],\n",
    "                 bottom_10_df[column_name], \n",
    "                 marker = \"o\",\n",
    "                 markersize=10,\n",
    "                 label=column_name)\n",
    "                       \n",
    "        \n",
    "# Draw a horizontal line with 0.25 transparency\n",
    "plt.hlines(0, 0, 3, alpha=0.25)\n",
    "\n",
    "# Adds a legend and sets its location to the lower right\n",
    "plt.legend(loc=\"best\")\n",
    "\n",
    "# Set title, x and y labels \n",
    "plt.xlabel(\"Timeframe\")\n",
    "plt.ylabel(\"Profit/Loss % Change\")\n",
    "plt.title(\"Profit/Loss Percentage Changes of Bottom 10 Businesses during Pandemic\")\n",
    "\n",
    "plt.ylim(-110,20)\n",
    "\n",
    "# Add in a grid for the chart\n",
    "plt.grid()\n",
    "\n",
    "# Save and Display the line plot\n",
    "plt.tight_layout()\n",
    "bottom_line_file_path = os.path.join(\"Images\",\"bottom_10_business_lineplot.png\")\n",
    "plt.savefig(bottom_line_file_path)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Top 10 Profiting Companies:\n",
    "* **Novavax, Inc. - Common Stock:** is an American vaccine development company\n",
    "* **Vaxart, Inc. - Common Stock:** is an American biotechnology company\n",
    "* **Co-Diagnostics, Inc. - Common Stock:** is a molecular diagnostics company\n",
    "* **VivoPower International PLC - Ordinary Shares:** is an international solar power company\n",
    "* **Trillium Therapeutics Inc. - Common Shares:** is a clinical stage immuno-oncology company\n",
    "* **Cardiff Oncology, Inc. - Common Stock:** is a clinical-stage Biotechnology company\n",
    "* **Pacific Ethanol, Inc. - Common Stock:** is a leading producer and marketer of high quality alcohol products and low-carbon renewable fuels in the United States\n",
    "* **Nautilus, Inc. Common Stock:** is amanufacturer of fitness equipment \n",
    "* **Overstock.com, Inc. - Common Stock:** is an American internet retailer \n",
    "* **Genprex, Inc. - Common Stock:** operates as a biotechnology company\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Top 10 Companies with Worst Losses:\n",
    "* **Direxion Daily S&P Oil & Gas Exp. & Prod. Bull 2X Shares:** is an oil and gas production\n",
    "* **Sierra Oncology, Inc. - Common Stock:** is a late stage drug development company \n",
    "* **MicroSectors U.S. Big Oil Index 3X Leveraged ETN:** is a group of oil producing companies\n",
    "* **Direxion Daily Junior Gold Miners Index Bear 2X Shares:** indicates a group of gold & silver mining companies\n",
    "* **Oasis Petroleum Inc. - Common Stock:** is a company engaged in hydrocarbon exploration and hydraulic fracturing \n",
    "* **Direxion Daily Brazil Bull 2X Shares:** Brazilian equity market \n",
    "* **Ashford Hospitality Trust Inc Common Stock:** real estate investment trust company\n",
    "* **Direxion Energy Bull 2X Shares:** energy company\n",
    "* **ProShares Ultra Bloomberg Crude Oil:** is an oil production company \n",
    "* **Seanergy Maritime Holdings Corp - Common Stock:** is a shipping company\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n",
    "# Data Source:\n",
    "***\n",
    "Wrote a [Jupyter Notebook Script](https://github.com/ushaakumaar/Python-Project-1/blob/business-profit-loss/business-stock-retrieval.ipynb) based on the python script available in [kaggle](https://www.kaggle.com/jacksoncrow/download-nasdaq-historical-data) to retrieve all NASDAQ traded stock prices on 2019/12/31(Pre COVID), 2020/03/31, 2020/06/30 and 2020/10/09 into a CSV file for further analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n",
    "# Summarizing Major Analysis Findings:\n",
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n",
    "## Which businesses most benefited by COVID?\n",
    "***\n",
    "\n",
    "> After collection and analysis, the stock data was parsed out by the top ten performing companies and the ten companies with the worst performance. \n",
    "\n",
    "***\n",
    "## Analysis of the top ten performing companies during COVID-19:\n",
    "***\n",
    "\n",
    "> These data were analyzed across the eight months from before the pandemic to the present time. Of the top ten performing companies during the pandemic, three specialized in diagnostic tests or vaccine development, these had the highest stock price increases from March until the end of June with only the vaccine development company continuing to increase in price through October. Of the other seven companies, a gym equipment supplier, an internet retailer, a fuel alternatives company and a solar power company showed basically no increase in their stock prices in March, and thereafter, only the gym equipment supplier and internet retailer had an increase through June. However, by October, all four of these companies showed greater increases. The remaining three companies, which included one that specialized in clinical oncology development and two in biotechnology, had steady gains between March and October. It appears the success of these companies is based on urgent services provided to deal with the pandemic in terms of the development of treatments and a vaccine, and the growing change in the personal (e.g., shopping, exercise) and professional habits of people during the lock down. The data also suggest that there was increased emphasis on alternative energy sources, which might indicate the heightened economic uncertainty that was prevalent during the pandemic. \n",
    "***\n",
    "### See plot below of stock price percent changes for the top 10 performing businesses:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Top 10 Line Plot](Images/top_10_business_lineplot.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n",
    "## Analysis of the worst performing companies during COVID-19\n",
    "***\n",
    ">In addition to the data on the ten companies with the best performing stocks during the pandemic, below is a figure showing the ten worst performing stocks during the same period. By March, three companies, one specializing in shipping and transport, one in the mining of gold and silver, and the last in hospitality had a smaller decrease in stock price than the other seven. Thereafter, only the mining company continued to experience a decrease in its stock price through June. The remaining seven companies, which included four oil and gas production companies, one gold and silver mining company, one real estate firm, and one drug development company, had drops in stock prices in March ranging from 92 to 98%. Only one of these seven companies, which had a greater focus on gas exploration and alternative fuels, had a rebound in its stock prices by June. By October, stock from all ten companies had decreased by approximately 100%. These losses, particularly in the oil and gas production companies, likely reflect the stay-at-home practices of many Americans and the significant decrease in travel. Other downturns indicate the overall shrinkage in the economy. \n",
    "***\n",
    "\n",
    "### See plot below of stock price percent changes for the worst 10 performing businesses:"
   ]
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   "source": [
    "![Bottom 10 Line Plot](Images/bottom_10_business_lineplot.png)"
   ]
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   "metadata": {},
   "source": []
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