Stock_dataanalysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from copy import copy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>Date</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>BA</th>\n",
       "      <th>T</th>\n",
       "      <th>MGM</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>IBM</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>sp500</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012-01-12</td>\n",
       "      <td>60.198570</td>\n",
       "      <td>75.510002</td>\n",
       "      <td>30.120001</td>\n",
       "      <td>12.13</td>\n",
       "      <td>175.929993</td>\n",
       "      <td>180.550003</td>\n",
       "      <td>28.250000</td>\n",
       "      <td>313.644379</td>\n",
       "      <td>1295.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-13</td>\n",
       "      <td>59.972858</td>\n",
       "      <td>74.599998</td>\n",
       "      <td>30.070000</td>\n",
       "      <td>12.35</td>\n",
       "      <td>178.419998</td>\n",
       "      <td>179.160004</td>\n",
       "      <td>22.790001</td>\n",
       "      <td>311.328064</td>\n",
       "      <td>1289.089966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-01-17</td>\n",
       "      <td>60.671429</td>\n",
       "      <td>75.239998</td>\n",
       "      <td>30.250000</td>\n",
       "      <td>12.25</td>\n",
       "      <td>181.660004</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>26.600000</td>\n",
       "      <td>313.116364</td>\n",
       "      <td>1293.670044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-01-18</td>\n",
       "      <td>61.301430</td>\n",
       "      <td>75.059998</td>\n",
       "      <td>30.330000</td>\n",
       "      <td>12.73</td>\n",
       "      <td>189.440002</td>\n",
       "      <td>181.070007</td>\n",
       "      <td>26.809999</td>\n",
       "      <td>315.273285</td>\n",
       "      <td>1308.040039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-19</td>\n",
       "      <td>61.107143</td>\n",
       "      <td>75.559998</td>\n",
       "      <td>30.420000</td>\n",
       "      <td>12.80</td>\n",
       "      <td>194.449997</td>\n",
       "      <td>180.520004</td>\n",
       "      <td>26.760000</td>\n",
       "      <td>318.590851</td>\n",
       "      <td>1314.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date       AAPL         BA          T    MGM        AMZN         IBM  \\\n",
       "0  2012-01-12  60.198570  75.510002  30.120001  12.13  175.929993  180.550003   \n",
       "1  2012-01-13  59.972858  74.599998  30.070000  12.35  178.419998  179.160004   \n",
       "2  2012-01-17  60.671429  75.239998  30.250000  12.25  181.660004  180.000000   \n",
       "3  2012-01-18  61.301430  75.059998  30.330000  12.73  189.440002  181.070007   \n",
       "4  2012-01-19  61.107143  75.559998  30.420000  12.80  194.449997  180.520004   \n",
       "\n",
       "        TSLA        GOOG        sp500  \n",
       "0  28.250000  313.644379  1295.500000  \n",
       "1  22.790001  311.328064  1289.089966  \n",
       "2  26.600000  313.116364  1293.670044  \n",
       "3  26.809999  315.273285  1308.040039  \n",
       "4  26.760000  318.590851  1314.500000  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('stocks.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>BA</th>\n",
       "      <th>T</th>\n",
       "      <th>MGM</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>IBM</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>sp500</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012-01-12</td>\n",
       "      <td>60.198570</td>\n",
       "      <td>75.510002</td>\n",
       "      <td>30.120001</td>\n",
       "      <td>12.13</td>\n",
       "      <td>175.929993</td>\n",
       "      <td>180.550003</td>\n",
       "      <td>28.250000</td>\n",
       "      <td>313.644379</td>\n",
       "      <td>1295.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-13</td>\n",
       "      <td>59.972858</td>\n",
       "      <td>74.599998</td>\n",
       "      <td>30.070000</td>\n",
       "      <td>12.35</td>\n",
       "      <td>178.419998</td>\n",
       "      <td>179.160004</td>\n",
       "      <td>22.790001</td>\n",
       "      <td>311.328064</td>\n",
       "      <td>1289.089966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-01-17</td>\n",
       "      <td>60.671429</td>\n",
       "      <td>75.239998</td>\n",
       "      <td>30.250000</td>\n",
       "      <td>12.25</td>\n",
       "      <td>181.660004</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>26.600000</td>\n",
       "      <td>313.116364</td>\n",
       "      <td>1293.670044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-01-18</td>\n",
       "      <td>61.301430</td>\n",
       "      <td>75.059998</td>\n",
       "      <td>30.330000</td>\n",
       "      <td>12.73</td>\n",
       "      <td>189.440002</td>\n",
       "      <td>181.070007</td>\n",
       "      <td>26.809999</td>\n",
       "      <td>315.273285</td>\n",
       "      <td>1308.040039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-19</td>\n",
       "      <td>61.107143</td>\n",
       "      <td>75.559998</td>\n",
       "      <td>30.420000</td>\n",
       "      <td>12.80</td>\n",
       "      <td>194.449997</td>\n",
       "      <td>180.520004</td>\n",
       "      <td>26.760000</td>\n",
       "      <td>318.590851</td>\n",
       "      <td>1314.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date       AAPL         BA          T    MGM        AMZN         IBM  \\\n",
       "0  2012-01-12  60.198570  75.510002  30.120001  12.13  175.929993  180.550003   \n",
       "1  2012-01-13  59.972858  74.599998  30.070000  12.35  178.419998  179.160004   \n",
       "2  2012-01-17  60.671429  75.239998  30.250000  12.25  181.660004  180.000000   \n",
       "3  2012-01-18  61.301430  75.059998  30.330000  12.73  189.440002  181.070007   \n",
       "4  2012-01-19  61.107143  75.559998  30.420000  12.80  194.449997  180.520004   \n",
       "\n",
       "        TSLA        GOOG        sp500  \n",
       "0  28.250000  313.644379  1295.500000  \n",
       "1  22.790001  311.328064  1289.089966  \n",
       "2  26.600000  313.116364  1293.670044  \n",
       "3  26.809999  315.273285  1308.040039  \n",
       "4  26.760000  318.590851  1314.500000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values(by=['Date'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of stocks:9\n"
     ]
    }
   ],
   "source": [
    "print('Total number of stocks:{}'.format(len(df.columns[1:])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "List of Stocks:\n",
      "AAPL\n",
      "BA\n",
      "T\n",
      "MGM\n",
      "AMZN\n",
      "IBM\n",
      "TSLA\n",
      "GOOG\n",
      "sp500\n"
     ]
    }
   ],
   "source": [
    "print(\"List of Stocks:\")\n",
    "for i in df.columns[1:]:\n",
    "    print(i)"
   ]
  },
  {
   "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>AAPL</th>\n",
       "      <th>BA</th>\n",
       "      <th>T</th>\n",
       "      <th>MGM</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>IBM</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>sp500</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2159.000000</td>\n",
       "      <td>2159.000000</td>\n",
       "      <td>2159.000000</td>\n",
       "      <td>2159.000000</td>\n",
       "      <td>2159.000000</td>\n",
       "      <td>2159.000000</td>\n",
       "      <td>2159.000000</td>\n",
       "      <td>2159.000000</td>\n",
       "      <td>2159.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>140.819823</td>\n",
       "      <td>189.942700</td>\n",
       "      <td>35.162899</td>\n",
       "      <td>23.105743</td>\n",
       "      <td>915.665665</td>\n",
       "      <td>161.853001</td>\n",
       "      <td>259.600815</td>\n",
       "      <td>783.712512</td>\n",
       "      <td>2218.749554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>70.827601</td>\n",
       "      <td>103.678586</td>\n",
       "      <td>3.207490</td>\n",
       "      <td>6.963847</td>\n",
       "      <td>697.838905</td>\n",
       "      <td>25.561938</td>\n",
       "      <td>210.988003</td>\n",
       "      <td>334.448057</td>\n",
       "      <td>537.321727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>55.790001</td>\n",
       "      <td>67.239998</td>\n",
       "      <td>26.770000</td>\n",
       "      <td>7.140000</td>\n",
       "      <td>175.929993</td>\n",
       "      <td>94.769997</td>\n",
       "      <td>22.790001</td>\n",
       "      <td>278.481171</td>\n",
       "      <td>1278.040039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>89.165714</td>\n",
       "      <td>124.015000</td>\n",
       "      <td>33.040001</td>\n",
       "      <td>18.545000</td>\n",
       "      <td>316.490005</td>\n",
       "      <td>142.769997</td>\n",
       "      <td>184.595001</td>\n",
       "      <td>527.214416</td>\n",
       "      <td>1847.984985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>116.599998</td>\n",
       "      <td>142.419998</td>\n",
       "      <td>34.930000</td>\n",
       "      <td>23.780001</td>\n",
       "      <td>676.010010</td>\n",
       "      <td>156.949997</td>\n",
       "      <td>231.960007</td>\n",
       "      <td>737.599976</td>\n",
       "      <td>2106.629883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>175.019997</td>\n",
       "      <td>297.044998</td>\n",
       "      <td>37.419998</td>\n",
       "      <td>28.430000</td>\n",
       "      <td>1593.645019</td>\n",
       "      <td>185.974998</td>\n",
       "      <td>307.350006</td>\n",
       "      <td>1079.744995</td>\n",
       "      <td>2705.810059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>455.609985</td>\n",
       "      <td>440.619995</td>\n",
       "      <td>43.470001</td>\n",
       "      <td>38.029999</td>\n",
       "      <td>3225.000000</td>\n",
       "      <td>215.800003</td>\n",
       "      <td>1643.000000</td>\n",
       "      <td>1568.489990</td>\n",
       "      <td>3386.149902</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              AAPL           BA            T          MGM         AMZN  \\\n",
       "count  2159.000000  2159.000000  2159.000000  2159.000000  2159.000000   \n",
       "mean    140.819823   189.942700    35.162899    23.105743   915.665665   \n",
       "std      70.827601   103.678586     3.207490     6.963847   697.838905   \n",
       "min      55.790001    67.239998    26.770000     7.140000   175.929993   \n",
       "25%      89.165714   124.015000    33.040001    18.545000   316.490005   \n",
       "50%     116.599998   142.419998    34.930000    23.780001   676.010010   \n",
       "75%     175.019997   297.044998    37.419998    28.430000  1593.645019   \n",
       "max     455.609985   440.619995    43.470001    38.029999  3225.000000   \n",
       "\n",
       "               IBM         TSLA         GOOG        sp500  \n",
       "count  2159.000000  2159.000000  2159.000000  2159.000000  \n",
       "mean    161.853001   259.600815   783.712512  2218.749554  \n",
       "std      25.561938   210.988003   334.448057   537.321727  \n",
       "min      94.769997    22.790001   278.481171  1278.040039  \n",
       "25%     142.769997   184.595001   527.214416  1847.984985  \n",
       "50%     156.949997   231.960007   737.599976  2106.629883  \n",
       "75%     185.974998   307.350006  1079.744995  2705.810059  \n",
       "max     215.800003  1643.000000  1568.489990  3386.149902  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2159 entries, 0 to 2158\n",
      "Data columns (total 10 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   Date    2159 non-null   object \n",
      " 1   AAPL    2159 non-null   float64\n",
      " 2   BA      2159 non-null   float64\n",
      " 3   T       2159 non-null   float64\n",
      " 4   MGM     2159 non-null   float64\n",
      " 5   AMZN    2159 non-null   float64\n",
      " 6   IBM     2159 non-null   float64\n",
      " 7   TSLA    2159 non-null   float64\n",
      " 8   GOOG    2159 non-null   float64\n",
      " 9   sp500   2159 non-null   float64\n",
      "dtypes: float64(9), object(1)\n",
      "memory usage: 168.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def show_plot(df, fig_title):\n",
    "    df.plot(x='Date', figsize = (15,7), linewidth = 3, title = fig_title)\n",
    "    plt.grid()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_plot(df,'Raw Stock Prices without Normalisation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def normalize(df):\n",
    "    x = df.copy()\n",
    "    for i in x.columns[1:]:\n",
    "        x[i] = x[i]/x[i][0]\n",
    "    return x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Normalizing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>BA</th>\n",
       "      <th>T</th>\n",
       "      <th>MGM</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>IBM</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>sp500</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012-01-12</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-13</td>\n",
       "      <td>0.996251</td>\n",
       "      <td>0.987949</td>\n",
       "      <td>0.998340</td>\n",
       "      <td>1.018137</td>\n",
       "      <td>1.014153</td>\n",
       "      <td>0.992301</td>\n",
       "      <td>0.806726</td>\n",
       "      <td>0.992615</td>\n",
       "      <td>0.995052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-01-17</td>\n",
       "      <td>1.007855</td>\n",
       "      <td>0.996424</td>\n",
       "      <td>1.004316</td>\n",
       "      <td>1.009893</td>\n",
       "      <td>1.032570</td>\n",
       "      <td>0.996954</td>\n",
       "      <td>0.941593</td>\n",
       "      <td>0.998317</td>\n",
       "      <td>0.998587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-01-18</td>\n",
       "      <td>1.018320</td>\n",
       "      <td>0.994040</td>\n",
       "      <td>1.006972</td>\n",
       "      <td>1.049464</td>\n",
       "      <td>1.076792</td>\n",
       "      <td>1.002880</td>\n",
       "      <td>0.949027</td>\n",
       "      <td>1.005193</td>\n",
       "      <td>1.009680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-19</td>\n",
       "      <td>1.015093</td>\n",
       "      <td>1.000662</td>\n",
       "      <td>1.009960</td>\n",
       "      <td>1.055235</td>\n",
       "      <td>1.105269</td>\n",
       "      <td>0.999834</td>\n",
       "      <td>0.947257</td>\n",
       "      <td>1.015771</td>\n",
       "      <td>1.014666</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>2154</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>7.313297</td>\n",
       "      <td>2.308039</td>\n",
       "      <td>0.991036</td>\n",
       "      <td>1.378401</td>\n",
       "      <td>18.217644</td>\n",
       "      <td>0.694821</td>\n",
       "      <td>52.567080</td>\n",
       "      <td>4.698347</td>\n",
       "      <td>2.568715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2155</th>\n",
       "      <td>2020-08-06</td>\n",
       "      <td>7.568452</td>\n",
       "      <td>2.280493</td>\n",
       "      <td>0.990704</td>\n",
       "      <td>1.521847</td>\n",
       "      <td>18.331155</td>\n",
       "      <td>0.698532</td>\n",
       "      <td>52.728494</td>\n",
       "      <td>4.782805</td>\n",
       "      <td>2.585226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2156</th>\n",
       "      <td>2020-08-07</td>\n",
       "      <td>7.383066</td>\n",
       "      <td>2.251622</td>\n",
       "      <td>0.996680</td>\n",
       "      <td>1.568838</td>\n",
       "      <td>18.004093</td>\n",
       "      <td>0.692107</td>\n",
       "      <td>51.423361</td>\n",
       "      <td>4.764919</td>\n",
       "      <td>2.586862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2157</th>\n",
       "      <td>2020-08-10</td>\n",
       "      <td>7.490377</td>\n",
       "      <td>2.375977</td>\n",
       "      <td>1.002656</td>\n",
       "      <td>1.784831</td>\n",
       "      <td>17.894390</td>\n",
       "      <td>0.704016</td>\n",
       "      <td>50.214865</td>\n",
       "      <td>4.770052</td>\n",
       "      <td>2.593956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2158</th>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>7.267614</td>\n",
       "      <td>2.385512</td>\n",
       "      <td>1.002656</td>\n",
       "      <td>1.772465</td>\n",
       "      <td>17.510772</td>\n",
       "      <td>0.702022</td>\n",
       "      <td>48.650974</td>\n",
       "      <td>4.719740</td>\n",
       "      <td>2.573284</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2159 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date      AAPL        BA         T       MGM       AMZN       IBM  \\\n",
       "0     2012-01-12  1.000000  1.000000  1.000000  1.000000   1.000000  1.000000   \n",
       "1     2012-01-13  0.996251  0.987949  0.998340  1.018137   1.014153  0.992301   \n",
       "2     2012-01-17  1.007855  0.996424  1.004316  1.009893   1.032570  0.996954   \n",
       "3     2012-01-18  1.018320  0.994040  1.006972  1.049464   1.076792  1.002880   \n",
       "4     2012-01-19  1.015093  1.000662  1.009960  1.055235   1.105269  0.999834   \n",
       "...          ...       ...       ...       ...       ...        ...       ...   \n",
       "2154  2020-08-05  7.313297  2.308039  0.991036  1.378401  18.217644  0.694821   \n",
       "2155  2020-08-06  7.568452  2.280493  0.990704  1.521847  18.331155  0.698532   \n",
       "2156  2020-08-07  7.383066  2.251622  0.996680  1.568838  18.004093  0.692107   \n",
       "2157  2020-08-10  7.490377  2.375977  1.002656  1.784831  17.894390  0.704016   \n",
       "2158  2020-08-11  7.267614  2.385512  1.002656  1.772465  17.510772  0.702022   \n",
       "\n",
       "           TSLA      GOOG     sp500  \n",
       "0      1.000000  1.000000  1.000000  \n",
       "1      0.806726  0.992615  0.995052  \n",
       "2      0.941593  0.998317  0.998587  \n",
       "3      0.949027  1.005193  1.009680  \n",
       "4      0.947257  1.015771  1.014666  \n",
       "...         ...       ...       ...  \n",
       "2154  52.567080  4.698347  2.568715  \n",
       "2155  52.728494  4.782805  2.585226  \n",
       "2156  51.423361  4.764919  2.586862  \n",
       "2157  50.214865  4.770052  2.593956  \n",
       "2158  48.650974  4.719740  2.573284  \n",
       "\n",
       "[2159 rows x 10 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "normalize(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_plot(normalize(df), 'Normalized Raw Stock Prices')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Daily Returns of Individual Stocks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Daily Returns of S&P 500:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0       0.000000\n",
       "1      -0.494792\n",
       "2       0.355295\n",
       "3       1.110793\n",
       "4       0.493866\n",
       "          ...   \n",
       "2154    0.642974\n",
       "2155    0.642770\n",
       "2156    0.063303\n",
       "2157    0.274222\n",
       "2158   -0.796913\n",
       "Name: sp500, Length: 2159, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfe = df['sp500']\n",
    "print('Daily Returns of S&P 500:')\n",
    "df_daily_return = dfe.copy()\n",
    "for j in range(1, len(dfe)):\n",
    "    df_daily_return[j] = ((dfe[j] - dfe[j-1]) / dfe[j-1]) *100\n",
    "\n",
    "df_daily_return[0] = 0\n",
    "df_daily_return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Daily Returns of Amazon:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0       0.000000\n",
       "1       1.415339\n",
       "2       1.815943\n",
       "3       4.282725\n",
       "4       2.644634\n",
       "          ...   \n",
       "2154    2.109065\n",
       "2155    0.623082\n",
       "2156   -1.784187\n",
       "2157   -0.609323\n",
       "2158   -2.143792\n",
       "Name: AMZN, Length: 2159, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfe = df['AMZN']\n",
    "print('Daily Returns of Amazon:')\n",
    "df_daily_return = dfe.copy()\n",
    "for j in range(1, len(dfe)):\n",
    "    df_daily_return[j] = ((dfe[j] - dfe[j-1]) / dfe[j-1]) *100\n",
    "\n",
    "df_daily_return[0] = 0\n",
    "df_daily_return"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multiple Stocks Daily Return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def daily_return(df):\n",
    "    df_daily_return = df.copy()\n",
    "    \n",
    "    for i in df.columns[1:]:\n",
    "        \n",
    "        for j in range(1, len(df)):\n",
    "            df_daily_return[i][j] = ((df[i][j] - df[i][j-1])/ df[i][j-1]) *100\n",
    "            \n",
    "        df_daily_return[i][0] = 0\n",
    "    \n",
    "    \n",
    "    \n",
    "    return df_daily_return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-15-bca77ba3fbac>:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_daily_return[i][j] = ((df[i][j] - df[i][j-1])/ df[i][j-1]) *100\n",
      "<ipython-input-15-bca77ba3fbac>:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_daily_return[i][0] = 0\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>BA</th>\n",
       "      <th>T</th>\n",
       "      <th>MGM</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>IBM</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>sp500</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012-01-12</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>2012-01-13</td>\n",
       "      <td>-0.374946</td>\n",
       "      <td>-1.205144</td>\n",
       "      <td>-0.166006</td>\n",
       "      <td>1.813685</td>\n",
       "      <td>1.415339</td>\n",
       "      <td>-0.769869</td>\n",
       "      <td>-19.327430</td>\n",
       "      <td>-0.738516</td>\n",
       "      <td>-0.494792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-01-17</td>\n",
       "      <td>1.164812</td>\n",
       "      <td>0.857909</td>\n",
       "      <td>0.598603</td>\n",
       "      <td>-0.809717</td>\n",
       "      <td>1.815943</td>\n",
       "      <td>0.468852</td>\n",
       "      <td>16.717854</td>\n",
       "      <td>0.574410</td>\n",
       "      <td>0.355295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-01-18</td>\n",
       "      <td>1.038382</td>\n",
       "      <td>-0.239234</td>\n",
       "      <td>0.264463</td>\n",
       "      <td>3.918367</td>\n",
       "      <td>4.282725</td>\n",
       "      <td>0.594448</td>\n",
       "      <td>0.789470</td>\n",
       "      <td>0.688856</td>\n",
       "      <td>1.110793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-19</td>\n",
       "      <td>-0.316937</td>\n",
       "      <td>0.666134</td>\n",
       "      <td>0.296736</td>\n",
       "      <td>0.549882</td>\n",
       "      <td>2.644634</td>\n",
       "      <td>-0.303752</td>\n",
       "      <td>-0.186494</td>\n",
       "      <td>1.052283</td>\n",
       "      <td>0.493866</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>2154</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>0.362467</td>\n",
       "      <td>5.579446</td>\n",
       "      <td>-0.533156</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.109065</td>\n",
       "      <td>-0.309917</td>\n",
       "      <td>-0.133153</td>\n",
       "      <td>0.589774</td>\n",
       "      <td>0.642974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2155</th>\n",
       "      <td>2020-08-06</td>\n",
       "      <td>3.488923</td>\n",
       "      <td>-1.193483</td>\n",
       "      <td>-0.033501</td>\n",
       "      <td>10.406699</td>\n",
       "      <td>0.623082</td>\n",
       "      <td>0.534082</td>\n",
       "      <td>0.307062</td>\n",
       "      <td>1.797626</td>\n",
       "      <td>0.642770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2156</th>\n",
       "      <td>2020-08-07</td>\n",
       "      <td>-2.449458</td>\n",
       "      <td>-1.265966</td>\n",
       "      <td>0.603217</td>\n",
       "      <td>3.087768</td>\n",
       "      <td>-1.784187</td>\n",
       "      <td>-0.919762</td>\n",
       "      <td>-2.475194</td>\n",
       "      <td>-0.373974</td>\n",
       "      <td>0.063303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2157</th>\n",
       "      <td>2020-08-10</td>\n",
       "      <td>1.453480</td>\n",
       "      <td>5.522880</td>\n",
       "      <td>0.599604</td>\n",
       "      <td>13.767729</td>\n",
       "      <td>-0.609323</td>\n",
       "      <td>1.720552</td>\n",
       "      <td>-2.350092</td>\n",
       "      <td>0.107728</td>\n",
       "      <td>0.274222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2158</th>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>-2.973987</td>\n",
       "      <td>0.401316</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.692841</td>\n",
       "      <td>-2.143792</td>\n",
       "      <td>-0.283220</td>\n",
       "      <td>-3.114399</td>\n",
       "      <td>-1.054744</td>\n",
       "      <td>-0.796913</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2159 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date      AAPL        BA         T        MGM      AMZN       IBM  \\\n",
       "0     2012-01-12  0.000000  0.000000  0.000000   0.000000  0.000000  0.000000   \n",
       "1     2012-01-13 -0.374946 -1.205144 -0.166006   1.813685  1.415339 -0.769869   \n",
       "2     2012-01-17  1.164812  0.857909  0.598603  -0.809717  1.815943  0.468852   \n",
       "3     2012-01-18  1.038382 -0.239234  0.264463   3.918367  4.282725  0.594448   \n",
       "4     2012-01-19 -0.316937  0.666134  0.296736   0.549882  2.644634 -0.303752   \n",
       "...          ...       ...       ...       ...        ...       ...       ...   \n",
       "2154  2020-08-05  0.362467  5.579446 -0.533156   0.000000  2.109065 -0.309917   \n",
       "2155  2020-08-06  3.488923 -1.193483 -0.033501  10.406699  0.623082  0.534082   \n",
       "2156  2020-08-07 -2.449458 -1.265966  0.603217   3.087768 -1.784187 -0.919762   \n",
       "2157  2020-08-10  1.453480  5.522880  0.599604  13.767729 -0.609323  1.720552   \n",
       "2158  2020-08-11 -2.973987  0.401316  0.000000  -0.692841 -2.143792 -0.283220   \n",
       "\n",
       "           TSLA      GOOG     sp500  \n",
       "0      0.000000  0.000000  0.000000  \n",
       "1    -19.327430 -0.738516 -0.494792  \n",
       "2     16.717854  0.574410  0.355295  \n",
       "3      0.789470  0.688856  1.110793  \n",
       "4     -0.186494  1.052283  0.493866  \n",
       "...         ...       ...       ...  \n",
       "2154  -0.133153  0.589774  0.642974  \n",
       "2155   0.307062  1.797626  0.642770  \n",
       "2156  -2.475194 -0.373974  0.063303  \n",
       "2157  -2.350092  0.107728  0.274222  \n",
       "2158  -3.114399 -1.054744 -0.796913  \n",
       "\n",
       "[2159 rows x 10 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stocks_daily_return = daily_return(df)\n",
    "stocks_daily_return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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tOyCi4CmlFuYzL0EQBEEQBEEQpg/nK024XmtBFVip/uftWAqs0y3SJY/SeVo4qJQqBd4AvqS1fkwpNai1rog7P6C1Tln3ppT6LPBZgKqqquseeuihvMiTT4aHhyktLZ1uMYQ8sHSvhULnqM2+7q7wNEozdUgdFmYzUn+F2YzUX2G2k6kOr31hVFnr3WAwuCqzXrHo3/4B3T1seq7rhz8Yv5CXGHfccccRrfU2s3N5sbwppezAb4Ffa60fix7uUkpVR61u1UC32b1a6x8DPwbYtm2bvv322/MhUl7ZsWMHM1EuYex0nT5G0DnaaFwu71XqsDCbkforzGak/gqznUx1uPWFXbG/Vy9fxZzbl2dMq8HhwJ/mnHwnuZGPaJMKuBc4p7X+Vtypp4B7on/fAzw50bwEQRAEQRAEQZiByDYAU0I+LG+3AJ8ETimljkeP/TPwVeARpdRngGbgd/OQlyBMDNkqQBAEQRAEIe+I7jY1TFh501rvJn3gz7dMNH1BEARBEARBEC4FRMObKPnY500QZg1idxMEQRAEQZgExPQ2JYjyJgiCIAiCIAjCxMiiu2lDY5l7Dbblt4CSLQXGS173eROEGY+Y3gRBEARBEPJPFsub91QvttUfwQZ4gVDznikR61JDLG+CIAiCIAiCIEyIbF6T/Y+cj/1ddO09Ga4UMiHKmyAIgiAIgiAIEyOb9iZL4vKCKG+CIAiCIAiCcAkSaB+m595TDL3YOPmZiXI2JciaN+HyQvZ5EwRBEIQpRxsawxvCWmKfblEuK3rvPY3hDuKvHaRgTTmFaysnLzNR3qYEsbwJgiAIgiAIk4YOa7r++ygdX9qP+3DndItzWWG4g7G//fVDk5uZbBUwJYjyJgiCIAiCIEwanqNdhLo8YMDAo7XTLY4wWWTT3cT5KS+I8iYIgiAIgiBMGmFXYLpFEGDS3Rq1WN6mBFHesmAEwiw6aqHnxycJDfqmWxxhosisjyAIgiBMLdL3zhAmW3ub3OSFCKK8ZcH5ajOl3Qp/wxADj9RMtziCECPY6abrv4/Se98ZdMiYbnEEQRAEQZjJTLZyldXyJtpdPhDlLQu+072xv/0Nk7zQUxDGQO/PTxPscOM718/wnrbpFkcQBEG4DDA8QbQhg/DZyKS/tTQZ+Ovr6f7Wt8FImmi2Fky2RJckorxlQ0LLCzOU8NDoGgKZWBDGysDAACdOnMDnE3dwQRByw3u6l/YvHaDzm4fRwfB0iyOMlUm3vJkfbvrUPfT9+MfoQDDhuGP9OydZoEsTUd6ESwKtNQNP1NH9wxMEOtzpLxRdXBAIhULce++9PP744zz77LPTLY4gCLOEvl+dg7Am3OfDtVM8PmYfk6u9pQtYEu7rM82/YMO7JlWeSxVR3mYA4ZDBKz8/y9PfPY6z1zvd4sxKvKd6ce/vINDopPfeUxmuvPy0t0DbMIsPWXC+2jzdoggzhMbGRoaHhwE4dSrT9yIIgmBOeNA/hqsvv753RjJNljchv4jyNgM48WoLFw500ny2n1d+cXa6xZmV+OsHY38bw8H0F16qZHDv7fnRSYr7FM6Xm/A3O6dQKGGmIuGcBUEQLkOmPWCJkA9EecvGFEwW1R/rif3dUSdrlyaTS3YJY4YGUwdG1yUEGkV5EwRBEPLAWPrTS7XvnW1MtnIlutuUIMqbIAiCIAiCIAgTIrtXh2h3+UCUt2xMwWzRJWsNEgRBEATh0kTG4bMPWfN2SSDK2wxAXITzgGjAuSF1TUDWvAmCIAiTQLa+Jdv5M0/A0V9CKJD5ussc23QLMPMRpeCSQl6nIAiCIAiXIZM+cTfR5H9zT+TfoA+2f3bC4lyqiOVNuLyYRAudr34Q52vNhF0yYyQIgiAIwmVGvpTD5/9h/Pc27YWf3Amv/md+ZJmBiOUtG7Lm7ZLGVztA4brKCacTdgXo/Ulkv6xAs4v5v3/FhNMcEzlXInGXm42EwwYNx3ooLLazbPPc6RZHEARBmI1MtuFtJgwxfv7OyL9tR2DDu2DptumVZxIQy5twWeM735+XdLyne/Oe5lQTdgZw7W4j2OWeblGEJC7s6+Sln57hqe8ep+uibPcgCMLsQiapLxNmgvIWT+fJ6ZZgUhDlTbi8sUZ6lJkSwMHj8fD000/z0ksvEQ6Hs9+QR/ofOs/QMw10/+AkOmRMad6XGuGgQXvdIEY4P+X4+q/Ox/5+7f5zE05vptR3QRBmMaKQCcnMor7F8Hrpu/dnDDzyCNqYXWMecZvMgswWXWIkvU9lUfQ/WoOvZoDK96+l6Ip50yNXlBdffJETJ04AMGfOHG688ca8pp+pXfU3RDaI174QwU43jqVlec37cuLJ/z5GR90Qq69ZwDs/t3W6xREEQZhmZDA1I5j2gCXmF1jKl+NY/07coV2U2F7JjyjaAmGVtub1/fzn9H73fwCwVlQw5+1vz0u+U4FY3rIiDc6ljL/JhedwF4YzQN/9Z6dbnJjiBnDo0KFplEQYLz53kI66iCLccKxnmqURBEEQhClinMph8Zv+HvuS6xgI/TUhvWDCYhi6lM7Aj2l/ZhX+JvOlBiOKG0DPt7494TynElHesiG62yVNeMA33SLMTMTkPG60MXvcRgRByE7jyV5e+PEpWi8MTLcogjAxJrt7yjJ2SKfbKVth7O+AsW7CYgyG/oCwXoQOWun96akJpzfTEOVNuLyx5ElJEV1HEAThkiMcNHj2+yepP9rDk98+Nt3iCMJlQI4DKu8A1L8O4VDKqaCxKva3Duawnm2WTViL8iZcXiR/oLPre504YhSa9eSjj5GAJYKQGwFf6sBQyC+GN5TbAFuYONPe9OciQJpObv8P4bvXwJFfgBGGH94G998Nz/197mmkzXJ2DQZFeRMua9Qs+2AFQRAEYdaRpqv1NwzR8eUDdHz1AGFXYGplugyZHRN3JqpJKAAv/CP0N8DTfwUX34Ch5si5Iz83SSOxwnX8++dx792bf1GnCVHesiFj+0sb+QIEQRAEYVro+elJdNDAcIcYfKp+usURJkrWMXMuyqPJwCzsT/qdzSKemMbgww/T/OnPYHg8OeQ/85Ghq3BZkWJoy5vlbbZo+bNh1k0QBEG4LIjzlgz1eqdPjsuFWTAE0LmMp5LHbsPdyReY3hbs6BifUDMMUd6yIW51lzSiuwn5JtkrZXa4qQiCYMpsadsFYTaQU3do8tEl96PJg7fHP5eUzRjVm1k21hflTbi8mcEfrAz6ZyfJ720mvkapW4KQI/KpCJcS09D2j7m/0bmoJkljt/rXks6PVXkb2+XTjShvwuVNvrYKuNSQYskboigJgiDkgPQ7lyYJfeAEok0mXJLtmjTnZ/CE/VgQ5S0bU/CeL5G6NL3kWobJhT2DlTeJhDk70ckRr0V3E4RLBpmMGSfSnc0MZkX1zaWymFyz57/jFMVLW72xTbcAwsx0q7pcuOz0I6lrU0Cy22S+C312VtrwcABrqWO6xRCEMZHy+Wpm6yc487nsOuRLH9fOVtwHO7At3U6o9UBO95gHLEld89ZzqgxXayELrnJSttgPL/8bLNiUIY30zLbJ8ktbNRWEZLItehWECWI62LvMGXiijo4vHqD/0ZrpFkUQxkTqGlb5oEfI+8baUraTz2SXcdyYyvCGGHruIqFeH0XbPjOGRExUkzi5wwGFc9cRes+U4R+y07pz3uh1Jx8eEWRscs8yRHnLxhQM7kV/mDpSB9bSWQj5RRszP2DJVOPeHwnP7DnchQ7necAnCFOIfM6jeI51E3YHc7xaBjozgamsv4Y3215s6UhveTNCivpnFtL2lZ+muTf6hGmDnlwa9VCUN+HyImlgnbeWbJa3BzKbPHnkUrZGIDAFkowyre9bqpowmxBLekacLzTmLzGZyZ58ZkX9TW95668pIRywpr811rcl1qWCqz85csHExZsBiPKWBWlKLi10+DJ3gUn3vDJAyRspdSpLWbb/4z9Rc902+n/5y8kTahq57L4x4ZJC3CYzExr0TWv+Oqzz7745Tfj9fs6ePYvXewlvVp7D9zOyR5vv7FmCbW2x+wbri+k5OSfr3fFpjOBY+SawRMJ8eANhHj7UnHTf7Brt50V5U0r9TCnVrZQ6HXdsrlLqZaVUbfTfynzkJQgTwVpqTzwwjn7Y8IZwH+ok2OPJj1AzgdSdpadHjkuAsWzS7b94kaEnn0QHg3R9+SuTLNk0IRMDwixG1rDOXMLOAJ1fO0jHVw4QaBuebnEmzCOPPMIjjzzCfffdN3mTBHlON3lCPD86kMLZXMjFD/4OdW97O4HmZnQwQMehihwEyhBtUkWO/eCNev7fI0eTzl2GyhvwC+CupGP/BLyqtV4HvBr9PfuYkvc5uyrNWAgPDRHq7Z1uMWIo+8Sr/OCTdQz8tpaeH56Izfip2f4OZYCSP8agB4cHBydVlJmJVC5h9iLzWuNkErrIgSfrCA8FMDwheu87k/8Mppj6+noAOjs7cbvdk5NJnuuv53j3JAhgoXf4Tym6+a+xFC+k8wtfxPD5x5h+ugqn+O6rtbyvYXeO6c1M8qK8aa13Av1Jh98P3Bf9+z7g7nzkdWlyafYGgaYmat98O7W334Hn8OHpFidCHgKWeI73AGC4Q/hqB/Ig1Azg0qyC08JY3CZnSnji5CAr+U086afUNWEy6DgJZx6HUH7Xj6YGIJIKPFMIto9a2wzn1K4bFiIMPlWf9zQ94TfjWH0ntoWbKbrxzzBcLiBH19g0a96SmetzJR6YIX1xrkzmPm9VWusOAK11h1JqodlFSqnPAp8FqKqqYseOHZMo0thZ4rRQFFcJxiOfCsG8WoVW0L9Wo5NKfWgosVK+8eoObD4IloxH4plD5Te+gcMX8Ydv/INP0/0/3520vOa3KSri5iLSvaeFXYo5cdcNu4YpGOP7XcvoYtnTp07h7oY5LYqFOeQ/FjweT8Z04uXo6+vjdJpr46+72NjIwI6LKdeoMKyJu+7IkSP4898mXxb4hxIHd7v37MZWYN4x2C5eJC7IcU71xu0ennD96u5OnC39yd+/zrJbFUVzJ6EDMxLr4K6du1LawGwMD0/8mYVLlwJfDzfu/ywKg4ZVn6R5xYfylnZgOPF73rVrF1b72L6TmVh/HS6orFd454Jzee4Kafy3DDDQP8CZHJ6tvFGxwKSPjE/P5XJxbgzltMJnwT7B8dlMZe/evTgc+dkXM76Me7p7OLWja8xpjNRhhwsWnLUQKNX0bNasCluwxr2D3t7e2FjE5oGVZAgukoagXhv721JaxcBFF+37D5DL2quenh4WkLrmbYSDBw8AZSlzqjPxG83EtG/SrbX+MfBjgG3btunbb799egVKovvcCQKDztjv8cg39FIjrqYWAJavXkb57SsTzvcdPIy3L5KHAtYfLiY84Kf8Xasou23peEWfdmr//fOMBIpVweC4yi5XBobqcDd3xH6ny6u/8zye9p7Y75LiEkKu0bVrucjY+sKu2N9btmyl6Ip5uA92MnCmdkzpmBHfeBQVFWVMJ16OefPmseH2K7Jet2rlSq66fUXKNYY/TPvLe2O/r73mWgpWZFsYPLsxAmHcBzuxltopumpB3qxg/e1u6p4f3Yz05ptuoXiOeSfsraykMe53uvd95qHXYn+XlJZy++03TEjGM2fOcPbs2djvoAfa3tC8tfsnzHnPu5n78Y9PKP14dMig7aU9sd9vuvVWLIVj63p27Ngxqe3HCFpr9vymjsEeD7d+aB0VVcWTnqeQB578M0Zm5ldfvJ/V9/xv3pIe6vFS+8y+2O9bb30TBUUzs/6OhfYvHcBwBSjrhK13XYd9YW51Pb4/AaicW8n627dmvc+1u42h8w2x3yPlEZ9eWVkZt99+TU5yAHQcPETYOxowZaaV8ViJ7/9vvvlmSktL85JufBkvmD+fjbdvHnMaI3V4pN4UDShW3bqBAWsdOhQ2TT/U76Nz56EJy19eWcGWG64nl11CF8yfB71gZnmzzt/Atquvh+PnU86VlpZy5SyqP5MZbbJLKVUNEP13rI6xlwyu11pM/x5ltJIttSvCAxHf3qHnUi0kQp6ZsAdMNIFJMFgM9/vZ/2R+zV/pPX4uP9+24Z2tDD3TQP9DF/DXDeYt3TFFp5tBrhp+P3iPHaPrC18k1J/sBT8BZtF6ytrDXZx4rYWmU3288OPT2W8QZgbGZEYbvDTbRsM16mbobxiaRkniGGNzaMiekWNmorU3od7Um9SbDO+wcfUynl/1HIeLj9J+5fdpufYbBAuy9zUKBUY44zVDTYVJR1LVm+Kb/oKBx7oiIib3vTOoL86FyVTengLuif59D/DkJOZ1yWC3zK4KNFPI1WoSTvaLz6EjDjsDDD7XgOeYyfzDJPbj4ZDBkeeb6Gl2Zb94otXm0hiPjAnnK6OhgodeaspbumMa283QDiPUNXa3mvTMnsFv48m+2N99l0D0usuGSfyOdJJ+MIOr76wn2Dq2b843nOsG4UKMfNbfLGkZSR/L4KfCrL3yZcpu/S6uRQfxzD9N5xX3Zs9HKXQW5a1939yoTBmiTQKGM8zVWGf9kCcvbpNKqQeB24H5SqlW4N+BrwKPKKU+AzQDv5uPvKacKRhb6VlcjYKdbgItLoq2zh+zK9RUE2gfTp1hzKHoB35bg+9CJDCJbRrcqPrahlmwvGxyM0kOWHG5TWjmdUSWZHnLc1lOib6Xx/KYjF0oAt4QF0/2snhdBWVzk2dcx88M1aWFacLv8RDwJm0JM3u761mBEQhjceS2TspIDlMvTCmmXiVxjWjXkC9hCL1wYWPK5Z75Z6igIHNGSmWwriscG9+DKignrH8UU8t0hsG7ae2aZY1/XkbbWuuPpjn1lnykf6lT0zVM+XQLMQ4Mf4ju759AB8IEWlxUfnDddIuUkf4HUv2cQ73ZN8McUdyAFOvblMzCTsUEQspzTO6D+ZucDD5Rh2N5GRV3r50xURfzQaqylqksx/7c+ahzKa6d6Mnb7mISqtJrvzxH/bEeSucW8Mkv3ozFoggN+Aj1+yhYVY4arwfDpVMNLy8mof3oabrIg//6D2jAUvB7WKyR0EISbXKc5PiKgh3uS369tRlTVq+msP5qneNrN/l+Q4Sps3ZSpB0stVggbG55sy3bTsHG9wIwGIR5+lT0THrHQjsqo3I3G5hMt0khB+q6hxn2zU7Tv+d4DzoQ+aDcBzunWZrshAZz3SdkLEx+QzgdTcx42nf/xYt4jhzJqRPq+cEJgh1u3Ac6E5TjS5GMxTFNSuvUDkDzb3qrPxYJOjTc76e7yUl4OEDnNw/T+5NTDO9pH3e6s36/xsuW/L+3p7/9VYJ+HyG/j6D72dhx0d1yQ4f1+LYgyWMBB32+7BfNEMa0VnqmoMk8BMr5GVK/37PWVnbbz/Oy4yRdpUsx0ihvjpVvjv3tNW6LEyh9m/B1irli/sYcZZuZiPKWjUnuy33BzH68s5opneGZBQ3dZDLBx3cf6Eg8MMb0Ao2NNLzr3TR9/BM4n3pqbPe25LCmbxaR0glnGsBcDrrCFAQscb7aDKFIwkPPNmS5OgOXw/sQcmKgoy32tw7nMYDPZUCwx0Pn1w7S+fVDsUnTnD+tMSh8ma587n++wf/8wYc58PgjOac3ncxK5S0LOS8JMpnEPGivi/19aG4lwfYcjRw57vO2fdG1STLklvxMQZS3qSBDpbiEvMVmAfnwN0vzezLfYz4rSZoOwZkSsCP3sgqEDPb91T/F0m7/x38ar3TTRx77yYn0ubl02PmoDtnySRlIhCawcG8KlDcdyM/CQmmPZylT+OIuhUF1XjEp+/4HzxMeChAe8DPwWK3JTenJxxphZ08353bvQBsGux/65cQTHAeB9mGGnr9IoH18gY8mrZ7ldXl3ln4kx3cZtNnpV5nLaeiNXDdhH5FpbPvLzTavC1HesjL5L3Syu4JxuS7kgynsUHNaMzUL+9w5Fih8o4WB39ZOrQVnDGV1//4mensGJ5DXLHwxGRjTDGqKYjM1ZZEqU/p89zz4Cg//x700PnBsvJll/j1BFCp/aYr2NkuZ7PemTf8UzAm2u2N/B5qcGa40IQ/fsj85yMwUo7Wm+/sncL3RSvf3j+d8z+wkSW6V/lQ6nn73O3is4ACnrM3pL0qXVvKnP2vLcWyI8paFqe7L853dyz8/w73/sIvaw/kM/Z0jM+0jmgxxYmlOTkW5qdSGtd+H+1An3hM92W/IF2Moq5/uapj1i39zRWuNv64Oncb/PnJR8j2ZEkyamsyU7lQSlbmtrY2XL+zmvLWN58/vIDQ4tjUkbrfbJDjKzOXyqMWXIGJ5u3TIQ/FO+3esgRFvhVBua/+mzG0y3+lmnJvMLa9gQSTa5AF7eitt+pRStLec8pztiPJ2CdNRN0jNgS787hAv/fTMdIszA5hU7W1SKIyLmjelG6lO5QBlFrW1XV/4Ig3veS9N99yT9poxGLVSwh9P1cAwaz7R82fPno0d6rIMoX25K5cHDhzg61//Ovfe//PETjzfz6jIWx0Sw9tsZSqVtynL6rJk2jyFJpMcHmlWrnnLJmJeXTSTflvs2KqvQRVWJF03C8otD4jyNhVM04DA2Zc4S97wwQ/S/o//iE67X8ali9Z6cvYum23tRI7yjuWxLqfx7sADDwDgPXwEf8NF02vG0gmnfItTZHmbioHB888/D0B7ZwfNlt64zCchM3GbFIQJMIntQWxdeI7f1qWgvI3DVXyqlLep0G201uiwzlu10uiUic7Cqz5G0fY/wVI8NynvcQ70ZlnbP7N3VZ4JTPL7nMpFkv6z5/CfPUfJrbdS/t735j39IU+QX+xtZOX8Yt5/9ZIZMwOiDU3Pj07mKbE0zzS7vvvsjPHV6VnW8OUDw5NmXcWY3CaTTk7bxIq5uTCUp0AgfhUXKSzfhjeVxyQvv2o8aQy91IjvXD/l71pF4brKyc1sKt0mZ4hyobVm8Kl6Qj1eKt63BvvC4ukWKQ1j7UxmRvlOhJQ6cgk8kxnJ+94CoKH33tMEWlyoaxfkLS/Dndjf2lfcYnrd0IkhKsrGkcEsG8OI5W1KGH+lGHiijr5fnyM8NI49yuIaDBtgX30n1vkb8R47nvYW34V+ur5zhKEXG8ec3VeeP8e3X6nhrx46zrHmgbHLO0l4TvSMfdH0JOKrH6T/ofP4amdOGaUwhs6mUisq560HyzjngmZCxzYeGULmoYvHNIOa7DY5Rcpbrm6T3U2TsI3DZLzvYCgvyVxKm8VPJ8FON67XWgh2uOm99/QU5Hj5vTff2T7c+zrw1w3S9+tz0y1OdnJ8RfmINjntJClvRg7RemftmrckfLUD+OsG0f4wtn257f9bVVXH2rUHKCgwjzgZkTi3CuS+6CYcuPTbA1HesjHNnbl7fwfeU70MPFGX/eIk4j/RTUUWCq/8CMW3/i1aF6W9p/fnZwh2enC93kKw0532Omevl5OvtSQce+jQ6O+f7Wmc9LILDw/jOXo064A3PDCJG3WOox3s/ckpPMd76L339NhmcaeyKubqXhk2+IrLxsbNv0PhVR+fXJlmGGmDloxlzds0Wd5SBgZJdWvk2SblE56EsYP74KG8pHPpd/lTQ7BriqP9TXo/PVppZ8paJN+F0cm/0FSX91gYY3H1trh4/oenOPiMuVt6PEaO7+Irz5+jb3gcE+DjJVkDDWWfXJqVa95MGMu66BHWb9hH9eIaNm7alf6iHL9xrTWdF64bswyzDVHepplc+xzfuYltErq6YHTPCyO0NKd7Qr3etOde+cVZ+juydBiT2PjoUIiG972Ppo99nO6vfX3S8skqx0Tvn8j+WePK0OSQ2XvK8cF8tYPM1ZFKnM6NYTwyzQZ0GmtPaiecIY0k5X2mWd7ylt9Y8h5r2uEw4YFEK7avfnB8iYn2lh+mvBwvv4AlyjG2faxmImb939HnG2k43sOhZy7SfLYv4/1plbekgdWP3mjg80+fNb92EtBhI+Nv03umzPI2OcmOYCke/2qsOXN6M5zN1XSrCS/+s7FnPsu8LkR5mwomoU746gYZ+G0tgZYMbk0T/Ugt6QXvqMsc+XCyPwPX668Tau8AoP8Xv8h88WQ2VmNsYFMa5JkwEjAVIUe58qB8zoASGBc6nEZ5S/6dWXtL/B1V3nQ4t/DS+SIlpHPM8jYLOjSTcur9yalxJTVZz7u7tpe7vrOTrzw/C9zb8sFUV5u49zYQ/DM6vnYI74WJTXimZYY0WMqROHybbZYawxOk46sHU47HV52m05mVN61D7LKd41X7Kbxk3sT56RPt4xFzfCRPyuUQiGqmWd78DUMMPFFHoG1sm4xPTr81hjQNwJbeu+xSQZS3MfK/r9Uy5DFf6xJPoLWNtr/9O3q++9285T28L9L46JBB709P4T7USff3jqe9Pu23r3L8EDIob9mY7DGf9k2hC0RCxmmOJz1v2B1k6KVG3MkLepPvn6n+/Zn0jXCcC1E+GuqZMOYYjwzpXGGS32mmtJPXvIXDBHs8dH7tIJ1fO0RocHLqebaBwchMccoOOjPxfWsjbw3OZLVbn7j3AOc7XfzojQZOtAxOTiYziulR+v3GZtzhdxLu99H388nZHme8g2rvmT76f1Mz5sFwekGSfgZnamdiztALjRjDqWMps5oT7PUS7En19Dlvb+aCrZ2L1m722i+kzevvbI9QwSSs301DikfFVHvYZCKXyJchg54fn8S9vyPnTcZjTNaj5uw2CcoyDtVmNkxUxiHKWzaS3uc3Xqrhy89lnz1t/4d/wPncc/R+/wcZ17GMpR8YfLIeHdYYOSiPmVC5Km8TrMu5btCYDf/FIZyvNI0vaMtkk+YRh567iOu1FgYevoA/PlhK8uzalEcuy81FMl299J7vp/0L++n+0cmI7HmZHZwJ2ltuqOJ5ONa/C0v5srSzqWPbKiDVEtv/0AXCQwHCg34GHhvdtLRQwQKbykuZZ3ebTNNmpbnNcLtxHziITqPQJjQlGfIO9fsYeKwW9+HcFrqPppenjncK+u+arqkbRE6UZ0928KEf7OXxY61jum/Kx0EqMpQJGbktCZhqLAHou/8sniNdeYt8rP1J7c8MbUbTfe6hNGvR4+uOQuFvdtL1jcN0ffMIJx86n3Btg220nbhojZsoTcr0z61P8K/2X41N8IlgJL2bKbC8hQZ8DD7TgPd0JtdDcqonCWPM8Bgr1iRYDMcSsCSivc1+l+JsiPI2Dh4+3JL1Gu+xY6M/Milv4wmjm/MtOZqJ0l01A2YiDE+Qnh+dxPlKM30PpZ9Zm2l4jnTF/h6xmAKpr2SsDeOkkLv21veLM2hfiMDFITxHu/MTGWwmFEGOFN3wJxRsvpviW/8Bw5+b22T/gw/Rd++95specgGGwwTjZuZHoqRagTvn2Li51MbywOTvBRezvCW3ASaTDVprGj/yUZrvuYeOf/kX8/TS/kik79fncB/sZODR2owBk5IEyKPlbfLbvFlU3fmzB45yuGmAv3n4BMEc1u1MHyPvLbfSdR+OeK14TvSMOafxtHmOuKqs8/T9Gr6k9meWuU3m+iH0x0XSLDvWTXeGyNEjbbJZ0r9jzRAMI98kW96Ck6+89T9wnuHdbfT96lxaxXgqmDR3z1zb5uI1scmcS5lL/wknyiR35uOp57nekqvbpA6Haf2rv6b+Pe9JvG6CtSMfe9j56gZjfwcuxq+zyxwtb8rI5WXENeSpASry09DpkEGw0z2+hnOcIoT6vfnZUDVluZVBMHlWeYZgrVgOgLIXYrjNR3He9sRJhqHfPkb317/B0FNPp16cslWAeXmuKLBgj7ZFy/Iw+EutJ8kWwDRukyb1y19Ti782YiEcevKpHPJOfy5ecfXmGqQpn7HFp6IdmWVj7BECY3H9mv55v7TokMHAo5H14v0Pns9+Q/L90/ACtaEJtLgS3O9S3CSnQCxfDkpIKlHBcqwTKulH2D1qBbIrlbTePjHR9v/Yj/dMX0rgJ7OiMXwhnK834z7clf8gSsnteA6BqCaqvMXHP4iPRJqaz5iSHTuTkP5YLG9q9V+AZRyWtxncZpkhyts0kyVid/Yb8sDQE0/ievFFAnX1ScJMYM0bmTu5YFcXgebm2G+/38+LL77ISy+9RDCYg1voNM0yZh30mt6U4fI8KW/+2kG6vnMU5yvNuI904Xy1OXVm1kw0Q5uvlcihfJXVMmb5m073ceCphrTnPc4A9//LPn7+j7vpbMgcFCevjOc1pAlYEtz5ncSko99R7w9+kJptylYB5oOjfDuBZF/zFpGjz50UBMDsfacphwyZ53Zdrs2PkT+3yanR3WaH9jbdARPGhMrd8jbh9UfjKZYJFmX/Q+fp/t5xeuL3zMvnRtA53urKoU/JPU/zTCcy6Rs0QvTdnxpVUpuk6XytGeeLTQw8WoM/bpI4LyQrYuFwpG3P0Fbm9XvLWIST/F1P1lKQMYxH1Xgsb1MU6TlfiPI2AXTIoO/B83T/6ATBDGH1M2FoTZnK/V6tSWkYjLFaKZIsb96T5j74agIBSzLhq6mh7s63UP/2d+Detw+APXv2sG/fPvbu3cvevXvjhBhfHtrQuHa3MfRyE8ZkupnppH/NLol3jRzDmjdbhmdPF2XU9WozA7+pwflyk/lG63q0kwi7AnR+9SDtXzpgel02lM0ypg5neMDHM/97gsPPJckVl8bex+pwD/oJ+sI8+e1j5IK/2UnnNw/T98C5CVgycxj0pUQQM++IS4PJEdKiL9KsrLLN0E6X63JULk/yt2PWv41VxrhHDna6x7SGV2vNt166kHTMPGBJ9ze+kTBBlAu5uk36agcYfP4iof6xuyfNFp0opWqORfCpX/QW/XfyC3c63p/3ZGQdU+DiUMwSlTKNOAXrpydpSJCYR/wPFfu/nPh1wS5aLL0YSS7qZu9seGdb7G/na9mXwoyFlK0Chrrgv6+G72yF3tz27J2IMpexHZsmy1uDpcv8RM6Jxj9T/iuiGh7DOusZgChv48CiDbTWDO9tx3uih8BFJ/0PJAYxscxZinXhZjJVsudPdfDVp46wUY1hgKFJWSfleiOx4dGGzqjQJX/XyppmXn8C30emxqPjn/5vbAFv82c/B8DOnTtj5994440JC+E91cvQMw24Xm1m+I2xLbYfC//7eh2vnM3SKMU3wskdbIZ1JIUZyrDnx9kXvbv3daQcC3a66fzGYbq/d5z+B88TdgbMw/3n0sBb1ZgiS9Ufzb6+pL99dHFIKMfoaT0/PEmox4v3ZC+e493ZbxgnyTP26cM/J743s1nf0ZPJbpPJyluu0o2NrAODqAUweRbc9L4cInuZPcbwgQ66vnOUjv86hOFNVYTNqv9r57v57mtJgx+tTWfr+356L61//hdZZcsqaBJhd5Dee08z/EYrfb8ee+j/WaK7EU5qq2b0xLRShAF/rsG44hjrINlz9Cg9//O/BLsnr63JiKEjgYGS2p++X07+PmbjqrtjvCn5ux/L+wmpMC86TqR4k2Rsg6NX5JVkV+6d34ahZnC1w2N/ZH5LPrcKmGi/keJFP/Hyec1xOvtFGVAWK1jsIz8mLE8KnszbUsw0RHnLQnJDstTVzc9e+jINd70T76nRQXswbtAZ7PZQcue/UXzzX0c3Lk6t+C39Hv7k10dxto6t8+/57+8S7E4cBLtea4ktiDU8QTq/cZiOL+3H2uNhkV2xtSjpNScrb3ZbmhOTM3IM9sR1eiYukjk1Wlmucb46thn3EYxAmLAr834x8TT3e/jDXx7GcGewHqQ3vHG8Kb1vejLug50xi9t4w0L7LgwQ7vMRaHHhz+CWmEtTrWyWMU1D59LejsvaG9exBFuzh+H2XbiA58iRMWeTUuZpFO+UgcLId2RSVinKWtLvyTJgZHP/NQIG7iNdFCV12qG+fhNrVnYhE1KJ5j34eEQJ0/4wzh1mM9+p6b58titn1+OQtQB/TU1W2RJyzKG849feBscR9n32WN50xt/xaJ0UBXmKDW9eHeJ9S6v50rzK7Ben1J/c8jBUZIKh8z+/QO/3vkfnv/7b2IQ0wz8MT/wZPPZZ8ObWF4T6+qh729sZ3rUn4Xig2TVuD6BcMcYziA9ren56KmUdlr/evP9Jtq+EkybN+jvd+GpqCHZ1YbEG2LL1Za6++jkKCke9UZLbVb9RmFnGcTzW6xe6+efHT3GuIzWASorlrStunNd+1FyEMSpv4eEAg880MLzfZP+6CVreUvejjfxjtl1DrsydN3HrZuHVH4/8cRkEJMmGlMAY+adDv6LKO0igqYlAY6PpNUPPX4z9XXjNp0yvefVcvLUm95bDfaCPnu/en3LcuSNiXRp4oo5wvw8dMCg61s32EhurC7KsmLFGlbfkD2Ia15W9et/ZaVlz0fGVg3R85QDe87kFS1BAMZGtAdKRMGuV9Ez/8lj6zYTN1sZ0f+/41OwZk0Mnrawq0SU02/XpOpS4JMazPUtiJibJBw18NQMY/jC+s2e5+P67afr4J8aedrLlLZRmqwAshC1+fEWdGCo4qszl4DaZ3OkbXi+hoWE2F01u6OOFNsWcuLL3X7Qy8JsaVroTn7H9//xjxN053rU5qZ6mKKTJmBSDNrG8mb5LnXrYCIexVV+Vcu2R275B89I7MsuSS6Z5Zrxr3pyvN9P7izMEOpKicDbuhn3fy3nwb4bhD6fMricra+EM7XHf/edo/8/9o5NmeZp1CLQP0/9oDd5zmWfFf+2+SLPdTiiXyZ+UgWn29+GrXkFf1V6GSxsYqSPDCR4imUkxCD7yKah7BXZ9A47/Ck4+DC/npgx2ffs7hDo6TNdPpWwfkGcy1YFM+OsG8eUYgChbF3B2VzsXfufj1L3lrSxedZjKyk7K5vSxYcOoMpvcL/2q54c0+q9Nn+gYH8vpC/IHPz/EAwea+ehP9mdNz29cz1DwHnzhq2PHjEA4cc/UMZbt4JP1DO9uY/CJenz1g4knM30GueSTsldp5J7xWncNi58rrtgxrnthtDjty2+O/DHhgcLsR0pgjKxxjs5yhF1pQtbmMPC1jNN53LHuHVjKb0s5HmiOyDLiGw9gSdeQJxviRtwmkyP0TLrVPv1V5/d1cvFEb9oFvrk2dEHCuMl9fzjtDYERCYkPEGhqSrog8acCfhdH5kTj60NSo2gl8ixjsfaFnblfO5mM3fKWvVakuybsDuI934+/2cnQ8xcJtKexeJjc3/fAOXp/dpqen5yk4//9q+ltOqyzziqmuOKkUaKDPitDladwldfgrIjr7MzKKtm9Jum34fPS893HM8o1HpK/n2tKrNxeZkMVzQUg0JKmTkdva/7DONef5PUl6TYvT5N3fLrZiFd8DEsAjUY3mm8pcF2Jnbq1H8ot4Sg56RzTsAzR3ziE88UmfOf76f15nPvRUBv84t3w4j/nPPhPxnuhn44v7qfrW0cS1genuk2av6Rgtwff2Yhy5Xw52l7msLZXhwx67j1F5zcOp924uufHJ/Ec7qLvvrOmrrUjdBoRi1Mu1ShFd8vSX2uLhWDFAgC8pa2xAEQT4uyT8KvfgYM/5cflc/jgkkW8fv43aeRNlK/31IgVJ83sRhTD0Dh9ua0nzXXNV3KdmAxyKd3mZW+BUIjyeaNeAOXlox5Jye80pO08O2De9kduGNtz1XZF6uvVWLnSo7NGl3RbPoYr/Lv0Br9IWJfjb3LS8aUDdH7tIOHhALt++SN+9Q9/kiRSZpm8p0bHeu6DSeu1svW1viF4/E8iVl+/yfr5pLwHuzwEvZpQz9gtu52bf0btnX+S/cKMJA+88jWZOctCTMYhytsY6S4rHv2R5ttSthzWgEQ7AJUvX+uxJJM8DWiLfgjJH8QkWb58upDiOz9Pydu+hKV0Udrr6r5zH+3/bL5vVFYU+AjwUMFuHirYTZNl7Pv5ALT+1V9nPH8NNt43FuUtqUytKHp/foaOLx0wDzAyQRo+8MHx3WiqZyQdtChCvYkz4spRCkCoJ7W80xre4srEbFJDG5ru7x2n7xdn6Pn+CVxvtNL9/eNp1l+l3j8y4xtsHcYImgsR6vHS9c0jDL2Q3oJqJIfJNokM+dJ39/Oy/y8J2yOKYLBgKLNGkBzSOnkdnQbvmfwtpjd8PoZ37sTwp05oKKUo2PwB/A4HrZY+DDN/shHrfJzcydZCM1foBMahqCWIALhLG+lbuJ+hytNplbfKHNph08QnmfE0q/HR8Iz4yZuj98X9/ctxydP38zPooEGo14srbn2wHmzBwei7DBmGaQRb06i2KV65qQ/d9e0j+GsHCfV6ExXS+Nt8o99DsDv95Mo8/1zu7ruThcFEt0nTNiIlSmPaZCOnx+CiZXiC9PzsND0/PpnThFybzcr/zK2g1uHgL6sWpEk08ac7NomUWlmPvdIcGWiHDd713V1s+8IrPHXCxK0uOQtXINV6Y3ad2XxVwIPrkafp/t4RfBdy3N4jiTAGLZY+/ATHZLTVOs3FKUpmtpece54jbMPKdynmyxTjPpSkPGVQcv3GlfTeexrtDxMeCtD3xAUOPvs0/qR9Q0fqbo/LH9ljMeSHQfPlIClxDDKUYdgIw2tfhBMPRKy+r38l5Zrkvv7hLxyk9umxF1LI4WRo6U6w5O4t5CX1u0nOeVzRJM2YAXsZjxdR3rKQXGkOr66OO5lmcGFPLFazwAYFPZ2UBsbvPzwRDM+ChIAmKuo2aZ2/LuG6Celukb0CTClY8z6scxZjKZlP4bbPcPCieYMf7Oygq3T9uLIPdXk4ZKvHr0JoBS87sgf4MMN/PnEfIPf+xCAgb8dOVZbPKH4AkTyYWI0Ff03E3cn1euIgPW3I5DG0N/5z5msqdfR/aTFbn5ViadKE+hLfXcldX8O6YBOd//mFlPvHa3kLtg0TTo7qF9Km9StrtECLLeNp1470wW2SN9dNds3panRSe9aT8n50tH6YlXfqjG3qoCNvHRXQ9tf/h5bP/SkDvzGf5TcsVl56x9t5wXGcPbYLqQFLzGY8k6zjOhgcswtQuv3jUq+LFK+nNDKICRYM0B/M35YSuUWbNL/G8Ibof+g8/Q9fyLhNx3jcwdPeks897mD0Ozv8c+b88BpeL/hbCqKDKePhWtr/cx+uPW0ZUhiRK7lej/7pb7jIwG+eINQ3+k0bw7lHHE3NSnNH7Yf4XPeH+P2e9yflm4OVd8zvQ6FKFmJbfnPKe3a90Yq/ZgB/wxADv42rv2myaLMmftuPHG5JtXAmWzGVBUNZ0SZ7WdUd6ubZb+4g+LUNbO95lEDY4C8fPJbTU6Vza9SGJtAa2WPOzG3SaKll6GgFgRYPvT8/k1Neyey0n+NFx3GedBxKmdDWsX9Hj6uYHGm+1zFuKD/mGqDgO5RgiebvPpwYtCyj67iyJPQloa7oONAkUMvjx1rZ/uVXeMfXX0J/99pItMrDPzMXKM3v5PamaagJDv549MCBH6amZ+JhNJ6mxrCOPRrvgwW76VXpN2KPCJSvPlGUt0uWzBHv0ilv1oxX9f3qdbb84x9y/4tfoNxrPms8mehQMa7XR2dwlC0yoC26Icm0naZFe+F0RIFZZB9fxS+ctzb2t7ViBR/+0T7TDtRZtpKuqhvME8mhtXWr3N0lJ5X4KuTqTThVMp7GY4LtzZDy8HDBXh517MczFpdSf+IAS5soUMpio/iWv8H18ssp9+cyLlYWRbkVNhVaKB1pndLdZzYwy9KiKev4mzwdSBqQhw0Mt5ve+39F1+s7caYLFpApinku+7zlaXbQe7YP5nyAkrd/mWB3osV0RIrO4jCekhIALtgiM/YlJf0sWNiAxRIyVX4Nf+JMqQ6FUhffZ4rakwZjMLc1XJ6B9Fb1NQWWWDCneLzn++n8+iEGnqzL6DZnei7N6xh6sRHP8R48x7ozBkwa15xYujKLG1GFtZW9v61jx6/P4zMJoBRoH2boxUaCXRn6nJFne+avAVii+vi49VWuxAoXnWDA0NNJ+zTm5A0cucjwemn86Efp+vLX08uQjnRlEDIo9VeY32K2JjflmxvbGzGsdopv+yeKrv19Bp9K3BvVE+fK5otbN106bB4ePvk7ue+HT/Dr93ySnhdejVkaU1wA7WXsvfELDFSYT2wOOgvZ0/VR3uP3xt5NLoFG0rmBD/y2lu7/PU7PT06Zuk2GwvOzpp2NemvEcuW0eGkorB9tL5QCDS2WXh4s2MPr9tNoNCqLJpH63WazvI2tDiQ3ASGnj9OnT1NfH60Pmco7SfEwhkNRCVMj+/7NwycwNNzuegbljE4sPvM3qVFukwWK/50kiieYg9HAZAPiqVJzDKV5wXE87fmGBeV4HVm8ncbBVGy1kU9EectK7taJkbUeyZY3w5JY0bynbThWvInCcJD3ndyVHzFbDqJf/VLOl8dbGFTUbVKlzOSZNdQGf/yrSLSkRfb01SfzRpu5VbvBinXpSz+XTaRzymUKGJFVa3jsjyecnOfIxEJUv2o/xbDyMWTxsN+eat0Ac+uA8+XXEn4P/KaGmu4+9tlqcJnsVZgcJSyt5S0uKwW8udTG6kJYWN5FbW1tWv9984H1xCxvQNpgNalbBWg6fvgjer70Jfr/5HOcPR6NnpgcuTFDwBJtGNgWX4tt6Q2RGdnkGVutCVuzRErLAcPrpe+XZ1EWG5aiSmwLNiRLEpU1CccwV1/zPBs37mH58pOUXP9H9FTfjBE3AOn+r/9KTCmr8paj0CazqxpYEko8HhoaTJvEliIrnd96iuE9FyIBAgIBOr/6dfp+cYZQnw/3vg5cO+NcBZODdBgGO2t6eOF0Z9b1PvFW+eFdbXgv9JsqjuPyaMjB8nbG8w6OvdzMmV3t7H2sLukyTc8PTuB6vYWen6QPkmT2/VQqFxUZt7vIQUGK/na98irG0BDGeKbx0+mvmcrTbK1dsmjJQYO0xt/spMRWHjmQVCaF89ZiKYi4h3uOJrbFlhK7qRgrGx8xlcGIJn1121v46NH/x9/WHmFby1m8zzrp+tYRnK80pTx3T/XtBArKM1ofany3c3D4o2wMRvr0V85l32Mr2atkBM+RyL2BJicF38nNijcRWgtbceun0OFR68uLjhN4lJ96axdBxwAjhZLObVKHIpMXCsXNC+/mjjmllGdaJhVXxv5QmH31ffhDYbTWpn1hsoW+Rrfz6KOPcv/999Pa2pq5Uia/N6/BhjlpJqmjLFSjE1khvSBhvVtUINP7wu5gShCbnDZBTxLfoWB8c/XjU4h8Kr0l/vzi+ZxaXjWudJMpvP1fMi7dmcmI8pYF7Uu0TJTYKkbPJX2gNTfdjOu111OUN7NvpfCqjwJQ6R3ibMHEZxF0wIve+d2U4/1qmPPWNvxkcEuxphnQajCS/LADY3RHiMd98CCQ2vB9UB9hvB95Ziamvulsa3dyTceIdADeIxdxdy9POJcxKFSaMokFBRgn/ZbR4ADdljQuZ0lZ1x0+wJMP35dwzKW8vBw8zRlbC6/bE91ljl/5Z/z073ZRe2h00JCLS1qB1iilOG1t4UDBBX7961/TNZBGWTUZmKXsEZSyTi/7Que+X5zh4olUa05yWoGgH+dPfhL73frsS6bpKWsBKAvWqhtwvdGaEPgk1G+l6IY/pmjbH0YUuBR3G81QxTomSt/PEl1ttL3E/MKkArQvOYQlul5h2fLIO3Zc8ym6F14Xu8Z3NjECmQ6FMJLX8iX80DlFKQ10aDq/c5jhvaNrdqy+ML/nLkhMO0u1Cg/MZ/Dpbnp/cor+Bx5k8JGnEs47X2iMFy2BQ/X9fOpnB/njXx3hmZNROYzc2oW+n5+h79cRt+sqFAvG0B51OX1866UL7K2LDtJyUN5Oet4dES88xJk3jhIa9NH9oxP0/Ow0YVcgVu8yuSh6z/Qy+HQ9IWPhaBbZhDW1KCf9jL5vHQ7RtGI5j7/7Tl6zZ1Aic8jH3+TE9UZL4hrA5FtysbwlWyaOdtPz/RO8a+lnRxW4OCxFqcdGsBan60sTxwThwIgrNThCRdzY/D7sNi9737yWhvf9DZaSiDXL+UpzirzBwsi5FOsPYXw2Z0K/sd0Xae/+7ckz0HYE/mcbPPB7EDavA6Zh56N0qyFOqSYTb438T5N6qysZtu0g3J8aZTRk84xa3lI+/siz1758CIA1ZVezrGQD5TYrN5VknrjrcvoIG5o/vv8IH/3Jfv7q28/T8M530fCe9xLsyqz8vhEYXZbx5JNPpq4DjsdE6b56XmpUXCNu/OFgdBymtclknkmb5G8couPLB+j48oGE45Y0ZZZwJKmv21xoxZbhNXeoAX7r2M9u2/nEoFJqciJjewonPqEJYC9fSuFNfxn5MbsMb6K8ZSO5nX/Pss9RuP1P8RQtTFnLZrhctP7pn0LSQvmMdUK5uMpSxTvm2FjuyGlOxBRvj4Ou4/MSjgUJ8YzjCLvt59NaWCIymB8efKKO9s/vY/CZhpRzZreswsLXKeSfKeCmdh+2xbckXNn8qXuiNyfefZu33Nz1JuoyMV6ylaVpQIY43CfMZyLHjAZ/7SB9j7bhCn804dR0WwdtOk0TEFfuj9Y8ypNf/wLeJJfDJsvo7F+yEtg/dzMhf5iX7h1V6tJNFLsPd8YiaI5Y5w7bR92RXt9vbp02HZglW+mSOiGVg+UN4LkfmAwsk9LyJQX9GFn/kBwQqGLtbdiqr8ax6j0MPX+R4b2ja4Z8daWxv4uu+7Tp+thANKpij3IypMa3TtZ7/ETigZR1eeYntEn9WOqwMGfbZ+j8+qHYvoMJ9wSDGM2HktIfzaHvgfO0/cvu2O8BNUx97wB76xNnk5VtAaFOL4NP1RPdYouKi6kW3lzXkAVaXAw8+FssxfPSX5SU1pFvneDDA5H3/FcPHY8crHs1p/wg4jrnbxziN5TyKKWsx5KTvP/y+Gm++1od9/z8IHXdLtI2hHFutgqNER4i4PwZAdeDXPjWTgIXnfhrBhIUVEhfZtoXZnhPO/3B/zN6zKSVSrg/KS3Xzn30/fyxxOtHLJDhMPtvuomg3U6DtZuOOItCdkbzCbuD9PzgBEPPNzLweIa+LdpG+C7043y9hbA7aBKwJPH3wG8iewNalIVr5r01pb+as/b2tNmpNNvyJAc9ad8/N/ZEBaEiNBp3WSNhS4hD9vqE7yWlDTNLH83jjoO0VB7DXRZpOx0K3lFo5/9QiFVr+MV7oa8Wal6AY6nbDQEMPlFvWjcChHjWcZSD9jr22i8kP3XCrxd+PLHNmEfwVVUw0N1kWvNH3SYT895+46PMKe+iqa0MgAWFy2LnCiwqEp3VhD6Xn+1ffpX3/M9uXr8Qmbh785M/wgjMxfCU0fkf/5mYfwa5DcPIoryZ3720JNEbIuwcbVttZNkCoifJLVfryPrDsDbdEzYYyDLySCr0JQ4LxRnWrD9bcJQBi5vztjbaLKOeK2419jVvVqvJ3r9JAlmyrHkLBVJdw0OEabL0pEw+WKMTJbNl/80RRHnLgtn7tFdfzZEb/53+uZtM70lZO5oh/UJ7CddY5lFoUVyTbtYuB4aLF1M/fHPCsUZLD4HoqKfWmkERCRumzxnq84GG4d1t6LBGh0IM/O//8rmTT5rOwnzR4qa2YB8+x3G2dXpxrH43tmXbUy9M+vDaAlvTCGbiNhXIT5j8Q7Z67it4gyO2VMV0hMFHm7CvvnPimRma/t8kd3gRMn2A41flc8dGOkvUaI34j33/EZEn7r25lJcOi7l7YVrSNY4hTdd/7yHQ2YXFtGNLN3BNPe4PG/jj919LbpFzVN5MSeqQh99IVCrnBH0E7IO4Sy8mHC9ZuIGCLR+O/R56vnH0ZLISlWLt1WD0ctHSzZMFh/iNYx8DauzrZFXSGgGnPc1gILn4DfPyqrJbCPX56Ln3FK6SJfTc/M9Y3vIFVNUWzh8d5L7vJi44T5iNjbP81Fs6+W3BAZ7teJHP/GRnWvlj/blJVTBSNtHKgMWKKqpMOey7EPk+U5Z6KAubrBV8IezgA0Rd4o78IuGabGsl+n55FgsKK4p/xpb+M+jpoePfP0/vD3/EK2cja4CCYc0PdjRkCFgSr3ZrQt43GCmkOYHR2WlPsiU5y4R4QG+M+5X6TcavaU2WbfCJIVTh5oRjnV89hL/ZmTI5MWwyuNOGjri4Jrszxv32nRm1yKTb7HnknlCfl96fn8H5YmNkP84keQ1P+uAydksBKRMaad6gDhsJW/UkktjOuruKo2lFWFOQmEd8j2xavyx+HI7RsuuwDDJkiUzseEsi1rO1BRaWO6y8Dwcf9lshONpudNSdZIf9DPWWpCiJMGqh9YfwRqNHtlr6CEetKI3WzJGb649OzK0/nh4jXR8TkSW57jkcPq666iV8Dk80oEtS3f3Fu8AIEx5KrDNdTh9FBpxrH223ttnLIl4R2/8UX03ukwxaa0KZtktJowRdUXlLwm9vzagslXo+nvDtaG3HF05tk3UgaVLLIO2ef0v6FXVPLMLZnMF6ZVLnrinOLTx/nxpVOrNNkJuxcpX5JuYA/pI2qq7pxTEns1JoFjBmj/0CLztO8mTBIXO5RHm7tEjXaV5ZZKUqyT3SWb6OwE1/F3F1iCPTENyuik2PG2jaLf34TMKmmhGwl1Gz/mOx3+2WAd5wZN5Q0bWzNaKUGWHObci8abExHGDoiSdw/vhH3N2wy1R5e9lxmoAK0W8Z5pQ1UgYFmz+QcE33gDtN9DyTgjbJo+bWd9D++efwXSxJ3NrA9PY0UeEwOGFrJKwMjtkuml4zQuGVH8l4Phcina+5LBNQJfJCWuVNw/DBDrr++yh3DkX88UfK04Of3zj20WRNN1CBEgtsKbSwIK6ijAxCzErCcNto+YNPp1itRmQxxaSD+d/X67n5K6/R7Yo07gcbEjt/ZY0MnluW3J5W9mR5Y7+TGoPkelweGmZo3kn8RYmDG41Gh9J0NkmPEGhOCgqjI+X+miM6m61gn+0C//J4epezYFsbIWdkIGf4Qww8WYcqfU/sfKulj4aypHwYeTfJlkvzNTyx+3xhzl/1J6xeuJKSsipKb/pLdr3Ugz+Qm/fB646oZVYZ3FjxSoaMIOwKsDJkpHwz1qKKlMtPWpt40nGIVkuS25WyoqyJimyo+yxdX/lqJJs0g5Y7rIX8HUX4m52EkwdPWZS3EeXgZfsJdhTsYbDBPPJt5xe+yODDD9Pzne9wc8eo9cJihHA+/ax54vFrx5QBOoBG4Vm+ngcL9tA5YtlKknHgtzX0P3Qe1670kSNjS3VNzrX95V/FXZh4TjnMXXL77juTJtb8KGFXgI6vHqTjywdie5fGzoXGMboKGwlh3D1HulK+456fpv+WFCplX7fkqU73oU5+ffiX3PfI90zT0GGNN3RrwrGOilK8YVvsu9tclNgOh+MGl/7GJt6wn+EJx0F6lYuAzUvvggP8pmBfrH6HkywzW4ssrCscTfN3Aol19lf15dRZO3ndcSbFEqFUpK3r+ckp+qLRIzOVvJllNleybVifrg/PFm2ye347gTVXo5P6k65uG6//6Xc49aa3JxwvMAz+0D/MJzw69rBF20cDuBVe85nE/DM8smEYBIMZlLcc9yjz1UeUoGoUV4c/Sn/w73GFP4g7nNomDyatA840oeQwbNiXvYmuxrelvcbM+prJ8paO8ShvixfXUFiYGm1SY9Cy7b+ovqGHRW/LEtXU5AWNGDDcyk+nZTD1HlHeLi3SuZcsdaQW3fBNf8u8quRAAJkL2RYynx05ZKvjOccxHi3Yn9CQm9GnXBwtPIe3cHQw/ZwjdfZCozlqbeBV+ymcysPQcxfp/t9jGEED18qt1Fs6CaUxz4eG/PT++CdgK8RSsSLr4tWBkXVVcQ1VwG7nLf/1ck5hXssssNCe6metNnwAw1dGqKcI+8rRzcrHEn47uTyzdSATJeAJEUgTOtw+zY6T1jRukzqkGXysjmCHm39o/31gVFk5bmvMau3YXmJjTaGVm0ttBFpcBFpcGOH0yhvAAe3H2XEi5XjQZM84MO+g/IbBsDvAjx45RU2nk7/7fpJCoKz0zttK7brfzSh/mQWM5DqV7AqTVI8HK81nMrVSEE4T1TOpHD0nUoMGJQ9ggirM4oNv0PPN/0DX7EiU4beP0fLXP6HjS4fo/uFx2v99H+59HaBGB9R7bSZWYJXyR4QkReWctTWlQ7YkWbLC/lMk94S5fGNLQunXEgH0/OQkbwrCtpLEMlKOooTfLuXloL2OHoszJWqZY9XdKFvi9apoLqjIOjpdk7pucX6cG7znaAfdRxOfN5coZQPKHZnsUDBUf8z0GtdLo3m/vSmyPnjdQAuf/vwnCKVbcxOnvOlQpK4F5i0iXDIHj/LzTIH5LLbnaDee4z0MPZve8+AHtds5OVCFoS2ZW6lco4e6Q6ZuwfEMPlWP4QygfWF6fpio5P7nr/ZR9/DjhIfNN/Q2w3u2LzXEebLlbTiIe+9B0/vNlIfkujzw21rKnwvw1hNXm8twqgd/KNEr5tTyRTx2cQsaWNe7LSXN+D5q309+RK21k16Li5cdJ+isqMde6KaoaChWv5PfwOqo+6ZG06EG6FADhHUJztDvMhx6B+64/S77LImuz4EON4Y7SLA1vpwzvePxDSMP2er4VcFOzljT72PpCaTWFwtQXrGEgit+x2TN2ygBm8JTaCOMQTA6rnm878uc5RrOb/h4wrWN9npcleewVx5nfUhzW9IUkbI6oGXUFTxTlddaEwxkWBebZvyTEujKF6kDf0gBKlrGztAnCen/SLm33p/4TTy5uzFt9payRRRe8ymKbvgc3vBNhIwqAi2u2BhKa40/hz3/0jP6TgyVxd0zDZs2j3hhxHls2HyECyJKnb08iztmljGmma+ZzdyOMmOZ7on/Gc9YwoeuLzCvMJkCNdiSOpaRyY1TtojlyqeCNFq6WWOkj4jzrOMoht1NyN6BzzcPR5rX2mbp56g9YmlyKS93B24g2OHGXV5EU8UxGpXmuuBqrgmvSrk37PSjCudS8ta/wFJYzg1ZAg7E5sUskTI5cu111K1fy+2+FpSah3dOA9oaoGhgQ+INUQbnH2VFaEXKcxcvuSb2t2PDuwlefB0sNtq7h0ke+qUr9WTlzUBjnUQlyjvox6LAZjJztTZogTTGjclWKiG95S08kOhWsm7OdXR5I4FSQjnMppVZR5+1+3vHAbBes9D0Wo0mRJjuijKKLr4Myz6XcD7Y1galJjcaqZHAPm19nt8Lv4sFtT5e++Up/uT0U3D9n8bOK6udlmXZXWFvLrVFvv244gkkzaZaixLXToWtada7mFjefMEwhXZrTrN9yRY+heJ9+ir8PTD8y3sp++LtsXMd/+/fKHv/DyLyNqauRwNwmkQGjcmaEvAlsS05UHQSS3iYDd5RtzpNZPuJdks/K8ILsGg/KwoU8TYv0z3uko7NT9pgOR6bG0LdXjSas8UjYbINIs6CkXT8BHErP16V3lvBUrYCx4bEemgtW4Qu+T2CLV3QWwuYu8MDeE80YdiSQqOHNcGezGsRA2SYiY9DOUqxVV9NAR6UbYiv7P959ESS614wTO8vzhBuv525xos4LI0EjBDOVfNgAtthxOMNO3i5cz2Fa4r4EulHNrkEn4mRpLwl3+lLE+kV4P1HnyH46A7aX3uRuZ/5fE7ZDT17kdI3LUk41vHvn8dS/t6EY82f+xM2HNiFpTjxORUqtexN6vLVntRJ2xH6HzJzmVd0BssInPk3bnCsgorEs/F9VMuwEyojDaBb+Skr6+eqG55DKc3p03fQ0NmFNY0C1Wbpjyl4tsDvs8B4Z+SELf26zZ7vn8BaGZnMcCkvjZaetJO6I88yVnwEOGGL9Cf77DVprwsENcm1ZE2BhWVrRlwMM68/tdpLeNS2D5fy8dbgVm4snc+e4TB987YkXFdjj1igtSXEEms/f6yXpzzWwA8fJ1zVh3XZSqyB9HXeMAxCmYKd5bhHWY8e4n32XhYY8yC8Ou7+MnwE6bIMssSYiw1rSrt9W0duHlt9wX8BDPjeceZ+dAPFVy0kcHEI54vmQdHSemikYbwBS0pLB6haVMvy5acIBAppPPHeFKu9RqMtAbo23Y9h9VF1/lPYAnMACDisnLTVU2VUsNTIsMY5DmWbXaY3sbxlYTwbquZCtxriwto1uIoSXUzMhn/xswShgoGUzqNq+TFuuvkRrtjyGv2WYfxpBgpNllELRm/cbNtx33DMveCI3Xwm1vAGsM7bgqUwoiKVWHP7eJWjFFDUrY/s7TavsI/h8hqab/xPWq7/Kq4Fh4HUBaj9luFRl6o0GN5+bIuvo+x936e8PnWgmq6BmWrLW6aiWmSk/wSdFi/BHAd96VGECNNg6TINdmFL0wT0Pp04E33tvLdyZWXE0jlWRddLgAO2WppPHotKNEoYg8cdB/lVwS6CpeVj2pBaGxp/0n5WFcZaFhAZeNzZb3Bd8kJui9V8o+kkCi2K7v/9HqHeUWt276AXX1kjnZt/xvD8k1Re8REcG949elOBueXNAIy4QatG86sdJyMRGbOuG0+1vFnjeuqh0GfoHIpTDG3ZI9cWkXrNyBcQrFic8d6bbn4E45b/wlM5OiDV2uAZxxH22C/wuv00a0uWsLEwabuUpG+sxdLHgwW7E47ZwolRJBPki77mWmsH9dZOioqGuGH742y7/gnCBYP4CPJQwR4eKzjAeWsbc8q7WLHyGAWFJu2CvSj1mMVG30M1WV3ADG8RhVsSrbbamOhM9SiF2/6Iwms+xbWb7+brhQNU3fU17GvfnqJAuI90468fIuQtozvwX4S0g56KvrwpbgCWaG+03XhT5gvHoLx5upPcoeIsz1qbB1eInZ+zHvuqN2PY3sLwodS1WulvTPzpPXwk5RJlseFvSHWhVyo35W2sjEzoBh1LubXUmjLhEI4b9BpJ7dXqTQdQ0XLbsuV1XnOcNl+zTjjB8vy0Pf33lUw4GqTnFfspDthr044LIiRZqXJI369y69eGvEECUcXRZvMDmninp2zDs1ZrHy6LDxS84jiF09GDr/wCIVv6dcNrXG0sMekj3OF34msvwX2gh4pj6ZcMaMMglMHyFg6al1DyoxyxNzDX6uSo/SLdaijuOs0zjsO87IisWwSw6Yi85tELshEp0P4HI216//2HTa/y4OcxxwEedezHmSFwVvzTGZbxj1/Wr99PYaGbOXP6WLTyKNqSOIHgsrgZWPEiziW7GV50mO4Nv4qd22s/zzFbIy84juMm1UpnOjacXbqbKG/ZSLa8GRhoNANqmH6VaKpOtrCNXJuMGx/POI5wfNs2Dm1J3GjTbC3ZG46zGGh6Vz9J/Zv/hpZtX01Id+Wq4wDMndtOqKw17R4ZljSvWycpEGetrRhRa8gI3vohQuM01FoWXZnwu/PKH8X+7rjqB1HZclcIdPR/WGwU3fC57DdEOWCrxY2PkEq1vE0m1gxBM0eeOmz1MrD8JSorE9egHM2yJi8rSnHY1sBrjtM84TiYYgGwpHGbLJy3JuXYkpJIyHpr2iAnoziVh4uWbsIY7LVf4JStmd328wRtroQ3fc7aSr9lmLAycC9dGXMPSXqIhF8e/HSpITw9Hmq+lKhkapIUqGRlUEUcES3RdDLNKPf99Bd0fuGLo8/k9tGy7WsMLd1Jx9YfYFgCFGx6P30lhbTMLaN4TprNahW4iqui8mkedeyndc+TPPzww1k7DFvxfAKWxIuSv+O7/ut1upyRDkpZsw/QzAefmi41yM6kdbLaZObUYtG0XPOt2G9nYWds8NlhHWTVnMUpeST/ftFxHE/SgDVTC1D0cmSGvd0SWcO1ceNuCgo8FBUNE97wJMdtFwlGXXSaHa1cddVLLF9+mk2b0gdBSSbUBwXGekpNXH0MNDvsZ3jScSil3efoA6gdn8+SepJbnMkm2gC2hRGrX0nBIm4cvhKlLBRu+RChpL3+Bp+In5Qo4cn+/yBkD7Bq1RHWrtsXHehOjN9d9fdsKL+BRWRW6HP1TgkR5oHB9Ja1ji/uz3h//8KrKbzq41jLFhE0iXKaXsDkRXkmbYzFRl9vj0mgCUVyzRxTgJw0jCjGV9i7mWtTPONIVCjjJxh1kkXf7kh9t2bf9Okkd8QRuc08T8zQ6BSXykz5jTCWQWVhoZPy8i6Sv4+CgmEslhBXF5RywdFC1aJatt/4G66+5jkSo+1kHjcEktr31xyncRV14axMv87x2rnLslgaM2P4hwkFgxiWAO65ZwhbEt9X3/n05Z2OHsvopMegcjMYDU4zEjzGEYI37Ge4v+ANaqyj2z2ECDM4lgBXvbVor7lL4gOFuxmwuBmyeNhhzxxPYYTwON0mkymZ04lOUvh3Ok4ztGQ0aJirenQsEL8e/6ytlZyYZcqbuE1mIb5j6lFOXnQcT1CO3hW4hsXG3JT7OtQArzpOUaaLeHfg2gT3tPg1Q67KOcRPDKxKE2q43tKJsfZxALxzL+Ava6LQtTJVXpsXf0KQE43VGiQctnHW3gg6NX2lFatWH6a4eIiG+m3s5QIHbLUYaK4NreKa8Cr8x/sYChckD40TsFiCVFU14PWV4e4rx0uAIhwU3vgnwOux60IF/aNNrsXAAiiskEOD2a2GeMlxghJdyF22FWOqwKdszVywtnNH8IqE45NtebNAdAAReWovATzKzzxdFlNa+1c9Q//qZ9kCHD70Prze8pjMJbqALeHlHLE10KUGuT60lgV6Tk551y9awOmoC25QhTlvTVQOx+Msms5FZ6/tAh7l57rQap52HCGgQlwRWspF62j0MV9xB8WustjvPkviQNg02qR11K/UR5BHCvYSUgZb7x9ku16RcKnPKEmwdCZb2YYdm7F6NeuXnOe5kpP4hpbyu/6bKTDxXdUWK64XXwTACBt4fT0Yc6OBQOxewo4hLL4FHFgbccuqtprXX43GiAbJOGdtjUWFu3DhAteFqilWkWsO2uoYVj5uCK6ljFHr0JHSxPVOyRMd/9dw8LUXLvDND18FtoLRPNGm78rM7VUDLzlS1xuSzu3F5o9ZBXvn1GG1BgiH7YBiyOKh3Eh0P4t360keGDkK3Kxftw9rsBT/qY00qUHmGWXM1aWxGVJ7axst1b3UWTtZuuw0pWVxSkBFIx7rMJWVbTidCygrG3XYLCvrZ0AN41Relhnz0k5gjbC4cAsV9gAvJ41Za60d1Fkj1p6XHCf4iH80MtzwA/9DqOJu0/QChPAof0oL0/G1gyz+xxuwFGcOCDNC56KbWJ10rF8N41F+Fhtz6QxuZOGSn7J0WWRQpYDa2ptySjsTV8+9w/yExcax33s7jvYuiv/gi9iT/f5MqLd24UleJxCH4c48Sz9e13b/wADnrK0U6QJWGgtMgxmcW7eaEzt2MPfYCd7BZgpxYMUSdZtMvHYs/UU6xfbuFX/BmcG9rChZiQsvbpU4wI9XsIw07tgZ80UnbLcST/L3F0zT7/aq9ApyGCOty30ub0mjKSh0se36p1BKU1tzI52dkcnBqqo61m/Yh99fxJGDdxPWNt60PqLYl5X1E1x4FjqiSzuybPKYdumENcDI1rfJ7/OgvY5jtou8NXglS0zGdvH0KRf+pMlyIxggGAjSc8238cw7x9BANerYH3J9KDIhGuy2YFtullp64iU0a7+LOgaoXTwIwE77OdaHF2Ng8FvHflwWH9cH17A+vJh2Sz9LjXmm/R1AuOM0bRYvc43ihGviLX8Q2RqoWw0xpDysMhLd0A/b6llhLKBcF2NMQAlORidZ8Xqsg6ik8axWIZROHBWesDVxwmruBjpC0FaC1mOYEJoBiPKWBSMQZMSZMVlxg8jslpny9mLJPpYsOYfXV8bZ1oVcGR4dZAYyuAwMKjeDJiZpp8WbsOyn397HPkcXlbqYRI9+I+aSoJTB1itfprw8MngOBh2cPvVWhocTfYAd8+uZvzSyjqSg4A2OHnlfzG3jiL0htgYuMCfzZsFLl55lxcrIIvPDh0p4UDn5YGA7xTrRGqDiLAmGYeHWOQbPKAtmyptG4yNIn8XFYqOSpwoiJn2fCtJa5CWTRGam8YAK8WLSIDV+5tFLAL8KUqHTbGJsQoOli9O2FjaGlrDeqE45b1WKYutopMaHC/YSVga3BTexviAyq92/ejSa3LJlp6mpGR0c7rfXssAoj0XGfMFyjE/635xVri41xOHbEq9LVd7GNiBqsvRwwtZoem5khis+lPSZpFmvMjUaYW2n7WzKFhbVRakWP1VaFasaJ21NMcvpqYI6tvsSlTdneBGVca1aw+r3cVX070BRD8UFFZTPrUff/D22Kk1NzY2cbF3C9aG1Kfnq6LYCPneQh75wkHlF5yleHH8+IlTpYjeOOQGCfvO1ZD4VJIAbKGdv0voOW3QSp97SFVvn6ifIu4LXRvJA029LTDdZAbkFByWv1fEXR5v4c2sBYQyedhzGqbzcGdyS4vOfLgCSmStTpjULv3Hs4wOB7VQtqmV9dHBVV3sDoaYrU6K8xQ+QzloT68T69fuorIzUg1Oe+zneshalFRW6BK/yc01oFQsdZbzoOEFFZTurVh1LSlsx76pHWVLRzuBgFc1NVyWcf9xxEENprg+u4arwyrTPM0Kx1QEE0YaXcLAWuI72uG0xksPbD9n/FYueS9DqprV6B/P7r6TMs4wAIR4u2ItfBVkVThzghPxBnG+0UvHO1PXFZhjhTohr6YeUh8ccB0DB9cE1wBIWLRt1M19UXZez8lZj6eC8rY0toWWsNiIW4k41SFCFWWrMNW0jSu/6Opa938EYDBD6zWPYr/p01nzMXMBzUYN8BHjFcQq3zWBN6EpKyN39D+DQ3mc5vCiS03v92yg1cYk7sTnS7vQPDfBg4R6KtIMP+G+IRJtMtryNQXkLOofQaJotvVixJHyLV1REg5ioSF9dXDKAe3guoHiy4BDrwotYHl6Az+HAYgnicPjw+cpyCqJyb+FraWVKVt5CKkyLpY9z1lY2hBezwljASWsTB+11aVJIr7wN44vqU1mi1KJZtepozP1z3fr9VFfX0N2zktWrI0F2Cgq8VC+5QGtr0mSrwxWXTmbCWa44b20z3S4oqMI87zjGrcGNKBTrwtUpk2b9apjHC1ID3YS0g321nay4PjKmKq/sYLe9ga2hZRTiyDlgSUVlO2vXHmBoqIr9NZoS7WCRUWkajM5nSWyn6yyddFuGIi6jwCF7PfXWLvotwywOV8b6lyHloc3Sz6rwQopw8NThZk44BphjtPChwE2xZ3aZrJN+2nEErTRDocTxqqE0zziO8DH/rRg5usdmI4zmicJ9xLfsShkpW9nU3vnHVLS8FZoXJCaQZpjTauljQLlxr30nNww/khdZpwpR3rIQaG+nsCKy0aOZO2KQcGSApYap1KWxyr5y1VGqqyONX9/wKuiLU96inZjFEqKwcDhmefMS4DHHgZhVzmbzU1VVz/DwXOhbmZDvXlstg5YFDDCcoLyFi3sJLt3Dcp8Fn7c0prgB2O0BrtjyKgf2j+455VRevPNPMWLHKSkZYvnyE7S0bE3ZoDdsN4saEWnEjtoaYoobwPLlp7hw4Vb22WoyhosNh+w0ONoyBhd5vOAgHuVnYyhRTXXbMTXWufFxwdpuHg7WhJFG042PRwr2EVYG14RWESDECmN+gnLuUl4GlZtqo5IOywBzjdJYGPduxxBrfFUp1o4+5aLH4mR1uIqjtoaYYjwyQ5aCiVtO/LOkWy/gndNAz4aHKBpcy4LaD/Oy40TKLLPTYrLJcdK6Ko3GsLmxhkpptfRxxtrKUmMu68LVvOwwD3OeKz1FraiCTmrC66ixpe49eOXcVKVUWWyx95xtDWClLbHsuxdFtjnwVJ6jZdvXIjO1gaLYoGH9+v3s79hIlVHBMmNeQjmUbPkdgi0H2fFIDe5BP46K7oSwDf3WASpLwqx5WzNKwWDtcejYiM0WIBQaHWA+XnAQm93ChwKpkzwhwtiw8EacG0q7dSA2K2w2UBxpY5zKyz5bDWW6kJsq1uPwGjiu+B3OWFtia1pfcBznD31vSbg/WbHKRLKrSjxOi5eTtqaY4gawdt1Bevuu45y3gKXLTjN3bitNjVej49q/g/YaqqtrsVjCtLdviCluANaqM9CyFq0irukQCWiwae3bqV58P2vXJm7+DRBSQQorIq5CFRVdDA4k7jNVvew0xcVDnGhyc9XQylibnS6wE0Ss5Ys5Q1D1AtelKMwu5eWMtYVqo5IVxZGBwtkrv03hgjpaw4+x8sC/cz7gjc3Kx1ufIfJew4OJ7kwZ19uFu4hX3g7Z6mIDkkP2egrLXWRyWAsQ4pjtIqdszcw1SnlLcCvlupgwRsxV9jXHEKt9VXSqQZ4piLjx3RHYwpqoQhePcpRQtP1Pcb/0zxDO7ijXaOlhvz11M20z91o/IQrjBv8H7HWR9s8Ce9UF3ha8krEworgB7LfX8P7b/znrPV4V4IHC3dxkrMi45s2Dn3bLAEuNeQkyj9D0oT+j/YYP8Hq0j7g9cAWrjIUMKx911k5WhOdToO1s3foy5RXddHWtpubCLdjtXrxLX+Xg0EKCtlJu2P44drufCxduTslj3vwmhpc/y9LuFbS2bkk5n0wwyZUtRJgXo2vjmq29fNp3R0bFDcwngGqs7ey0n8NitxMI3pzx+zLQWK2JbUtpWX+iRR2w21Nd+Jot/QRs9VwXWkM2O1+7tR+bzYfD4cXjSQ2ItNt+PuP9I+cd2sqqpO9gn1nUXiCMjZKTr8H1o8es1iAeFaBQO7DOW8eAcuNUngRvgORWeevWiKt4UdEwPd2reHUw3Vq51PZ8h0m8gP6ol8tI/xLG4DnHUdzKT4ull3cEr+ZEU8Qt3Wnx0qUGqdaVprLBaD9yPDaZGwtTh1cF0GjCE1jzFs+c8h6uuv6JhGMlJYN4tZEwhaCtIQZWvoBq+RhWa4jy8i6U0vT2LiO+fdRonMoTWxPqWNbP1vNjt3BPJ6K8ZSGsUhvksrIelq84SX//EgpbbotsdmmNuDaVGYXcHNoQU9wAwsv20KcXEsZgbv+V+FWIoiIn265/EoCWhiBD/UsYcs1L8KdfseIEi5dEGojGvUsTLG/pZv+Cm34buRcIBlNnKB1x/vIGBs/bj1GVlNaKlScJBIvo7IisxxsZ3FsUXLR002Dt4orQMhbpCiCyf5HL4mNZXBojKbZZM2/kHI7OnKSzAP2icEfs7/O2RKtRQVL1rbd0ctzWyIDFDWgWLz7PfHuAttbNUZcuc0Yav+PRvd8WLGxALX2a/o711LZfwcf8t2LDio8gjxfuwlo4HHNrdCSZ6IOEsMYFhPAT5CnHYcLKoEsNZbS6jjBvXitKGQnKs1Ih7HYvwWDEnc6Fl5AyqIyzELZs+y+0zY+3sobi3q34vBkiXo2UWeFFasKtvMV/NSuNBWg0rdd+A8+8s8yv/RC7OyoYVj5arL15WxuoLSF2Ws6Zn0NTb0kTFp3UetJg6YpZC8yvj9By7TcjSrHSFBYmDpqDKsxLjhO8M3BNgptM4bLtFC7bTtOBrqjcieV5pOACVy1riI3tKtYd5rolFygqcnGx4TosljCFRS6aGq8mEChmj8lAIawMjhaexm53EwikRvQzV94sdKtBXirfgc8XCQg0RxdhKVU4i5cyoBLXupywNrE+XE0RjrQuX2mPZ4kW5lSelECgxubfsKK0D0vUwn7lVS+za+ciHNrGcmM+N970KHZ7pB3SSW5PxcVONm7aics5n7a20Y2ewwWDpoobEFPERxhZAzzCyEy+w+HFdfhtPF5wkDAG7wpcS5UuN01zqarDsWApjVZFQ6gLi1Y4HB4cBR6GXfN4w36WTssgp2nho75bKKGQwgWRNt9iDdN8879RELYx59RbcDpTo6y2WfoJ77+IvbKN0jtux1JQgLZE2o2Q3UXX5vtQho3Ksx+nhj78BZEBt0bTZOlN2SjZV9SdZr1ohCO2Bs7YWgCDfsswb9jP8L7A9SmD8B32M/Sq0fU1rztOs8aX+n1pNMfmtuC8511sOhIkNQRM4rWvpJn0SdiMGs2L9uO0WvsToh43xLUHTdYeduvzDFrchAhjoFlhLOC6ULJTaXpZxsK+4ibWl2wg3l4+IrNG87zjGAMWN9XhSt4dvJboamw6LQM0WLrYcP3HaLKO7vu6w3GGHYwOrC9Y27hLraG8IqLcV1U1oLXCZvMzf34roZCdnp6Vse9lw4a9+DyJLvObo2HVV5X209W1JtZHpCPZ8jbiDjx6PnuEQK8KcN7SRimFsQnInfZIm25YgzyrjvCBwPbY9cP4KMQes9ZpNKWlfakJJ6G1Mr3umK2R60JrUtqPeJQysNn8XH/D41itYWpqbqSr09xXp6ysh5WrjjE4UE1Ly9aU86/bz7DKn/gdJCvBo/lqrizbSHvcUhGrNRiZ/NcQXHk9jzn2opVmbXgRS8JzI+68Germ1itfofHi1bS0bCFZYY3UuNFjVmuAxUvO4/OW0dNjbtlvtPRgxRJz122x9sUmDEcIKyMmUrbvxmoNsPXKl7HZApw9cwceTwUhDMIqnMMK+fFx5VWp27qMMG9ea9x2A1Bft42enpWxb+OIrSFhHWFg3gKOliwkfczYmYcob1kYWSgeX3mvvOpFLBbN3LntdPdczYXg6OyQy+LjRccJ4uNzVVa207vw2wAcOXkXIdfCmOIG4Fn9AvbVEO5aDRdG3eVGFDcA27IDCXIVFrmig4L0De1Ig5+ORksPLouXhSaK08qVx2LK20go/UUOg186Igt9myw9fNp/Z+yZk6mqukhd7XaM6Ca/VmuQisp2XM5Ec7bWFpTOLWDJwqp6FlXV0dq2mf6+ZSkuESPRKe12L1dseY2y6CyexRKm8eK1adM1lAYNPouPDRt3sXBhIxCxInR1rYmEZ9aFPFD8Ktff8AQOh4/6um20t28ioEKUl3dSXV1DV9caQh2J76PLMhSztNXaOlgenk/l3FaKCl10dq7lrLWFZksf8U2szRZk2bLTNDdfGZU/hOOm77K90MmFCzfT072ahwv3ApGZ8WKs2LUDHRek4NC816B1I+lQKsySJedYueoYbnclrx6Dz3jfhn9OI575kXLsXf8bhjs/GbvHzHUi37xgP26q8A8pDyesjTTaW7Hb/QSjis5rjtOsThpcOlVk1rBUF+J1BAizAKzpleaFCxtwOhfwPMd4e+AqlhrzEupjiSXAoMNJsCBxfZ7H6ibkSIyeV1wcsXitXjMagCActtFQf0Okg0yiZ8ODlC3fyXbg4sVr6O1ZzsKqi/ja11LoWmHaaYYJc/Har3P9vDba29dTX7c9ZtVwaBuLjUrKynooKnLR27ucQ/Y6+i0u7ghuIYxBUdEQ1Ytr6O9byuBgNTabD9eyJ1gUdNLbu4L1G/YCmpoLt2RU3tat30vo3PtTjs+ZkxqJrWpRLacGnXioZG5cu7RmbWpkswULmliwoIm58yJWO6dzIV1zzpBORVc5hqOeO7edg/a62ATKi47jfMr/Zlx4sWBJcMcrr5zL/vJdLFl6jpP9SxgaWsj11z+B1RqmtnZ7rG2EyMBn3uo9KflZrSG2bH2VvXs+mnLuVccpblEbCP3N3zHnU5+g5/qPcWT7v/MOoGvDgwxXRcrlQshF/cVroRw2+D04lSetIpTJCnHG1sLKVUdYvPgCrS1X0NwccUBKnhyos3ZSoBMnugaUO2GSCKDV0UbhTf9DqS3Iubk3sSjJ8+yQrZ5OywDbg+uYp8tIR7wl/aKlm9botx/vrp/8DSRP4vVbhmmz9PP2wFWm1q94xjP9tGrO1dRwPCUNL4HoRCF0WAfYqc/RZu1DoWKutc3WPsqNdMqUxlLWzkBS/V20aHStms0WpLo61WKZDrvDFxugOhwe1q3fhxG2ceHCzRiGnQO2WryOfjau30nYsFFXuz0h8jTktrHyUdtFmqITCKW6iMVGolWrzzIcm/SNWeS04sbQOlaEFxBSoYSJ5HRobWH9hsRva8RC3a2G0iqaCxZcZN36fVjj1iFHohcOM29eC40Xr+VE1+g6qC1bX8FmC1FR0UV//xLc7sgkXsTypwnFTaydtjbTbOlNKbd4CQsXJgais1qDeKOboddZu2JWqzprJ3XWTjpCi1kXHt0Wye5IXTqzctVxAoEiyis6qaq6iGFYqK+7nt6mbdjmroJoHV258nhs7Oj2VOBxp1oc07chqfgIstdubmUcYcmS87Hx1saNuzh69L2RSYJxbhUwUeIVN4j0M6vXHKam5ma6u1bjWLaflQ4fLc1bCIcjk2ZD1uyRmmcSorxlwbDYaF/7IENLd1LdtJWOjg2xGWUA7+IDXDu/CZ+3jHPn3hy1liRWWLt9NIDIsk2v09WZuq4HIrNuNXHKWzwjC9FH2LBhLxs27OXI4feaXp8LI+5+6Rf9aoqKnAz4h5mv5zCghlm4sB6rLUhnxzqaqnYwtOYZlnQvpy3JL31E5pH1J1dseY3y8m5CodTOVaEim0VHxXA4PGzYuBuPp5ymxqsJhQqwWoNs2BBRWMorutmz+yMJnUx8FMU1aw/FGhKAZcvO4POWMTS0kGXLTzM4UI0/UER1dQ1udyWhi1dBsIjyJccpiypuI1htAQIl7ZwNaK655nkcDl80j8O0t0ciw1151csALFjYRLDrbgKGjTprB3ON0lgofqXCzJvXStjoYMuWyIyczR5gb1OkPJLnx1asPBFT3qoXX0AVRRYMb9y4h57u0Vnmg5U72bLlNUJhe4JLX/wi6tLSXlatPsrQUGQ90OIl51iz5nDc+QHWrD1A7+ntFNmSO41IHfB6yxLKe+HCBpYsPUso5MDjKaetdTM+3+ggzWIJUVDgjlkoc2VEcbNYgixaVI/fXwzdlbxmP82Qo4dt1z+JzRbk3Nnb6OuLrPoOY9Bs6aVcF1Omi3jccWB0VrQAdhdC+l0SYcPGyODg6JF38xIneHNgM+uiaxc9+KlbGHELVPbEztpiCacob2YsiVrjzp19M0acj35BoYvg8tFOZtWqYyxZchaHw09rVTNrdn0zbqPwyOxqRUU7izY9EpuYWby4BrSivj7ioxNQITqKL3L91S+ilGZOeze9fcupHzC4I7iFACHWb9jDnDl9VFfXcOTw+6iursGz7CzriHyzRUWR51y56ih6ON6ensiiRfXUulKVFjNGXCvra68ncwiAUSoquqi4+kXOnLkdt7si7XXJlrdMNFtGFct5i8+ws3gfTk85Xm8Zm3pu44rwMhSK1xynuWHrqxQUeFm0qB6Xc15sILhu3YEE5U2j6V/1nGl+ya5h8eyxX+ATa+6k/1cPs6fpBmwF5ZyyNuNYvDd2zeJlZyif20ZL8xZ+Y75X/agcKe24AVh42X4SiyXEsmgfsmLlyVjbYjZQT7bMNFi7UixbfSteoMgWaWMWr90HDaNRfzvVYGxd7FMFh3lrYNTNccXKY5SXd9NQfx3Dw/M5ZK/nivAyjtgaYms+47lgbc8pumO3ZYjDtjpuDY3u0WdYAgwvOE5xaAC7zU8wWEifB3bZzrFmYRvBpfsoa3or5/rS7y8I5q6dEAk9P3KktKyPpsAwfn+iHdqj/BiW1DK2WoPMmdPNlq2vjWMzmPRK+qZNO2mo38ac8m6WLz8dJ7Pi/LnbOGVrZv263SxYGFFc5s9vZt/ejySkkc6iFE9TnOX3uPUiC43UAFp7bRc4F6doG0qz117DGWsrN9kWpFxvxvIVqVEhI9/fOp4qOMyWNGOXjZt2mx4fKZMrtrzOGTT0R9o3my1u/LDmEMpiMOyaR/XiGrRWHD/2Tl42TiREMYSIxclqDSV4TRhKY1gSI+nOm9/CntBB/GoRxnBqVOIaWztr4/a0Xb06dTsLgPUb9sX+tlgM1qw9yFOd61kTp/jFT/pfd90zDA0t5NTJt6KjwT0KCoYJhRwxpSUmd1Jb4CNIi6WXBmt3xjpRWOhixcrROAIlpYNAxHKnc5gImCqUioybw2FbbHLVYgnRUB9ZWjHLgk2K8paNcIEH1+oXsRCxxFTOTZz1W7EiMoNRUjJEdfUF2ts3sWxZqr/xCHa7P7LOLQ0WSzBmrcqF67Y9nfO16TBba6GUZtPmN5g/v4Vz3ScpPXUPjdWvs3ljZGChAN/aQxQAq0t76etNDZ9UVVUfVd50bO2dzZZom1fKQNs9WGPbFWi23xhx/ayoiPgr19XeyLLliY34DdsfI7Tvr2JroZz2vqiSMYcFC1IjC62LW5dTVTU6TbxgQTM1VkVT/Q1sWHIs5b5rr3mO/oLfYifdEuzExiloc3HU6KSm+ALLl51igXs11p5ytt/425SB3IoVJ+loX09pWWb3EUeS339x8SClZX309y1l46ZdOAq8OEiyisUNeDZu2kVR0TAVFV0MDS5KUNxGqK6u46Wak7xXJw5k1m/YS1VVAwP91XhOfIzCQidWayim8EDkPTkcXs6dvT2StQpz3banKCx009R4JR5vOR53ucmaA4OiIhde7xySByRLlpyPub8d8xczPDyfVctPxyZCNl/xBm1tG2lt3czxUCPHbBexaMWtwU0EVQiLJRSdtd0bs6RmY82aQ5w8+Q7ecJxlnS+ivMVvIGtJmkW0WEMEbO6c3ELmzm3nllsfZNfOT8SedU5ZqoVqZDY6XDjIgeIjzPEtZtnykyxdepbW1s2sjOskR1i85AKOAg9lZb309y9FaxVTaKoX11K9uJa21o1w9m0EVZg5cyL1zWIxWLtuP5WVo25TI4obROqEsy5xnWkyCxdm2v8plaVxA8pcueKKHRknqcaivBmWIOvWHmTuvNbYRMyIRe/kCcX5gTW8N3AtpaW9FBSMflNlc9J/o2NzxdMsWXKOwsJhmpu3Ely8FXxuriwM0ujczwG7TvDagMjajo2bduPzlRIKOXKeEKmqaqCnZyVN9OCwJQ4mLZYQIxFJy8p6WLCgMeJl4J4b9RQwmDevFY+nArvTmrIuVtkS26SQ3cXQ0jcodK6ga7CMkckGiMzyzynvYu3ag5SUDAIRN7ARpeG8tS1FcbPZ/DxTcIhO5QQ0VVX1KKUJhewsWlRHe8cG+vuWJeRz3tbOuvBiCrFTrotpWv0IgdWvcF1cuocPvY8aX5iFWx4AwFdRz7m4b9IMjcZu91JR0cnAwGKaQj3Yw1acxS0squzEag3GXHNPnnwrQ4PVVC8+z6JFdbS2XEFv7wqqqurRhpXu7lWsXnOYJUsyr7XKRCb39eJiJ1u2pgYrWbCgiWHXGdraNlFVdTF23GYLsmz5SVqaRxXshwv2UljoYtXqI8yfH3HBPnP6djSKNWsOMTiwmLq6UZdIZfPiLD2D8hk4HB5CoQLCYXuc4qYpKRnA7y8mFCpkyOLBneyjN0bmzOnG6azKvE40C1ds2cGunZ9MOT7iwjriQaCUZvXqI5w6FZl2WrbsFOXlXbR3bGDjxl1YLAbnzt7GypXHKS4ZYmhoIbUXdcJ4YeXKE7G2uxiw7vm92HhlVInS0fwM5iaNM9MRMSRo6pNcXxOep7ybdev3U3PhFubNa2bT5jcwDBuHD72fQKCQwsJhfL4yni/aBxrWrDnI4iUX8PqLONt4Dd1dEWPDnPIuKsq76OxcSyhkp3pxDcFgIatXm+8LF8bI6nY/HWyOs8otWXJhVHkzi3Q9gxHlLQtG0vqYefPSf1SVlR243XNT1lwkM39B6gzjCAUFnjFbK8bK2nX7mVPWQ1f3aqzWiIUkGYslHGu4Fy5sxHvzN9lcNKp0JitT19/wREoahYVuSkr6Ka9I37AUFrrRt36Dypo7GOxZFBtQjVBdXUthoSthgAkRa6ZedgBfZwlNN30egG3A+fPmlstMVCw7Tp/fRmHxUMo5R0FmV8FkZTRoc3PaaGHt8lNUL64BarhhtT3tDPw11z6bMEiMR6kwFksYIylwzIjC3te3lOLiTJYfzZw5PRTFvbe5c9PveVK57CjHSgYT3NNGFN3KuR0YS46wbd0Os0jbsboCsGBhY2xdWXwQm+PH7sLh8FI2p4f2tk2sX7+XyrkddHWtprV1M0uWnGNgYDG9PSsTvqGVq47R2rKFpUsT18ktWXKewkIXx85EXLoMpdnpOMPWK19mzpzuBAt5LhSZlKWzvIalla10d61GJc2gWyzhMXdOa9YcorX1CsrKerO6NftWv8SZuhu4NdrpmyluI4yUf3V1LcPDqZaEJUvP4+zfS8+qxMme5O8qHq0VfVYnqXPqoySvH8xGtmdOx6o0M9EwNuVt48bdadvfLVtfYc/uhRy+5otck6GNTiHrovxRBaOisiNu1jdMweBbKdu2kUqguuAW6jG3GABcfc0LABw5/F48ngpKS/twFHjo71sCWFIsb+s37GP9hn10d6+kpTkxkMWyZWeor72aBbqMTZvfoKDAy4KFjRzY/yFAsWbNYRYvuYBhWNDDhzhbMMTF5i0MdWxkaYFibkXiBFnP2kdxLnsDtCJ44ve4bv2zhEKR6MbhsJ2rktanxLeb++21WK0BVq0+gjasuFzzWLd+H35/Cd1H3kPl3PYEiwNE2iO3u5ySkqFokI+bAcXTBYdBw4cCNxJY/UpKGa5Zc4impGikka10Rq0QNpufcNgeW3McJszWra9QUjrI4GAVx08WcMJez/VXvUxBQaKnwpVXvsL+fR+Krc/cuGk3Fy4YMctz/KTXVLNq9VGWLkudPFm58gTdXatjVsOCQldKf37Flh2xv4uKaujoWIfbPZeCgmFWb7+fHuBmw4Il2kbu3fN7sTJdvPgCa9YeIhSyc+jgBwiFCgiNe9fYCMXFzsiykSxbBWRj9ZqDFJv0+8kUFTuprr7AgoWNsYnoyrmjgZY2X/FG7O/y8m5CWx7OmN7Nt4yeP3DggwT8JRypfpo3XfF6hrvMufKqlzh18q04HD7mzOk2vaaqqgH3cGWs7bFaQ6xefRhHgTchqN0yf3GsTjsKvGzYsJfi4iFaWzazZcurWK3hBCtbOt502/14X980bW6TY2Hjxp0JkxGzBaWzbVE/hWzbtk0fPmyuxU8HWmte/vK3sN70/SnNd++ejxAO23nTbfdPab5jIX52/3Klr28pTY1Xce11o2H+Hac/xqv91hnx7pzOeTErywham25zlBcaG6+iwOGNKq2ZGR6upLR0IC/5trVtoLNjHatXH6GkdCBlAmAsHD92F9WLLyTMTkOkLAsKvAmDtdqa7axafTRFgZ9uwmFrwloPIXdqa7azbv2BrNf1dK8gFLbTUH89N20+gGVuZgvk0NBCGi9ew7Llp5g7d3QT3cVH/paSvq34y+tpv+KnOC2eLBMyETo71ySsjTp16i2sXnmCEhNrLoDXW5owiQNw7uxt3Nz9TgZu/7+xY0eOvAeft5Rbbn0oqwy50Na2gYsN13Hrmx5IOXfwwAcpLh5Eawtbr0xVtAA6OtYmBP/KxMg65BFybYMPH3o/Pl8pFRUdzJvfTHV1HT5fMUePvJfS0n62btqLcoxOUuza+QlKS/u55lpzV9lkgkFHwtKJieLxzMmpjoyFkXWcSoXZvv23phuBJ9PXu5R5880nAw1DcfDA78SChYzQ1HglbW2b2GSppPKmH05IZre7gkCgKCFa7WxlLPXcjIsXr2bJ4gtZJ5unGlf7FZQtTu+JNlNob9vA0JNh/vzRF6dblASUUke01ttMz0228qaUugv4byKbpf1Ua/3VdNfONOUt7PXxxPf/LxXXPDWl+Q4MLGKgf0lC0ANBEATh0qOj8RqqV6a6bI+FUMhGwFdKcXS9yUTwx82+54MTx9/OVVenjwyXTzo61uLxlBPwl6QELUjH6VN3Ujm3jSVLEoMy9PcvTlC0RxgerqS9bWOKNXCq8PlKxmzxzoVTJ99CYdEw69Zln7yYKC3NV7Bs+cwf1AuXD2d+sJa//I0obyMZW4Ea4G1AK3AI+KjW+qzZ9TNNees9e4adh/6V8mXZzcSCIAiCMF2Ew7aMAVIEQRAEc5peWMynv7ZrusVIIJPyln13zYlxA1CntW7QWgeAh4DU2NIzlOfe+J4oboIgCMKMRxQ3QRCE8VF2xfjWY08Xkx2wZAkQv2NsK5CwMlAp9VngswBVVVXs2LFjkkXKHbsnt3C2giAIgiAIgiDMPnxG5YzSP7Ix2cqbWWiEBD9NrfWPgR9DxG3y9ttvn2SRcqc17OACv5puMQRBEARh2pms9VYzhd6e5cyb33LZB+MShMsNiyXETNI/sjHZbpOtQPwur0uB1BXAM5RFV12V9lxf39IplCR/NDRcy4ULN0+3GAn4fCXs3fMRdu38eE7XtzRfMa4tAfLBgQMfNNkMNzeGhhbmWRpzOtNsAp+OwcGq7BflgaNH3h3d52zi+HwlHD3ybnp7luNyzcXlynXr5/S4XHPZtfPjHDzwAerrTN3MYwQCBWNO//Ch93Hy5FvHK54wQ+jvX5zztWdO3zGJkqSnpfkK0+OhUO57iCZTcOzdsOfvaN/3aRrqr8t6vWGkH17YnUvp7Vlu2o4fOfweWls25yzXrp2fZNfOj3P82F2cO3vbmNqz5PdTW3sjJ46/g4GBRQwNLaCne0XKPX5/ccqxAwc+mFN+zU1bc5ZNmHqCQUf2i8aRZjhsw+cryXvaE+m7e7pX0NGxlnDYfKfSgL+IfXs/nLc+e6Zjt4w/SvV0MNnK2yFgnVJqlVLKAXwEmNrQjRPBYqWpMbJ5ZcBfRMBfFDsVakjtlJM7da3JqZObShb5q1nZ+o6M1wwN5k/JMAxFMJh+oHvhws0cO/puwmE7YOHwofclnDdTRLS20NO9mnPnkrezzZ3xNKQXzt+M9s3h3NnbaGvdSH3dNny+kpwUB7e7nHMn30rb+YkN5gwjojh2tK/n8K5P0NebOonQcmFs5TI4uGhCMuWK2z0XUAQChRNO6/Spt+B2z+XcuTdz/Ni7OXH8rnGntWvnJzhw4IMcP/ZOwILfX0p7+ybTQdoIhjE2p4Xmpq14veUMDVZz/tyt45bVjI6OteO6z+dL/3xTQWvLZkKhqdtqtKjrmrTnamtz2+dn/74Pceb0ndTW3Jj12mCwgP7+pXSduJuurlX4naMDrQLncjyexB30wiE7509kbpuTOXrk3bS3r0841tuznMbGa9m185OcPnVn7Hhf31I6kq6Np69vCYWnPkl93TbaWjcm9Hddp9+Ft3YZV4VXc4frNtraNicoZ9WH/zYlvT27P86hg3fjcSfuW7r6jW+zev8XGTp9Nz3dq1MUTY+nkosXr2Pf3g+zZ/dHOXLkPRnL4FO+NwMWXK4F9Pau4NTJt+OPkz2e5MF5f/9S9u39MMeP3cWunZ8gFCrA5VrA6VNv4+SJu7hw4ZaEwe2Rw+/h9Kk7E5Tg2trtkX26Dr+XjvZ1nD3zZmzt1+PzlVBbs52enuUAhHxlbKm9B/uJe5h37mOcP5b5uaaK8+duTamLZmS7Jhy2cfzYXbGyb2vbwMDAaN/ics7DOTQzlqIcPfouGi9ezYnjid+bz1uWcm1b68bY3+GeDeza+UmOHX1nznkNDlZzZtdnmLP738cvcBo6O9ZxKsuE4MhESFfnavbs/gjHj93F7l0f5/z526irvYmzZ+6g06QPqTz494RCBYBK6QsbL16dUakzfKnlOBkkjxfHSnydtudfb59UJrXn1FqHlFJ/DrxIZKuAn2mtZ098WAWFDe/gaP9SfN4ySkoGWVRdS3f3Ku4cvIEG13OUlUX20Tp44AP4/aUJe8soBV1da1iz/Aza7pv2/Ze0VlzRfSdNOkBbmn1F+vqWcv7cm7jl1gfHnU972wacrvm4h+fi9xdTUjLIVVebh2Dt7kpUzpI3KC/V6Qf6vT0rMDbsHvNmzCpQyqGDd7N8xUlWrDiZ/YYo/s6tvDe4ldd7Cmnoi3TII/sKlZb2sXjxeaoWme/35PWUUxQu5Y7mT3HIZlC+9g3T6yCi9B87+m683jIKC4e5btszsXP9/UvpOP0ulhrz+GhoLUPHbqT7bX8eOx8OW9kQXmaWbFqur7+HpgX/QUGhm56eFQn7R+WLiw3Xxv4+d+622Ka9rS2bWVzVSKG/kqONG9iy9bWc0vN6y1kXqqbWFtnjR2srLS1XsGzZ2JqXiOKtCPhTlfmzZ97M1dc8b7ovnnu4Mmf3sd27PobWowPAnp5VbNyUfjPmEZzO+ShlUFbWn/aao0feTXl5V05yJBMKFeB0FjNnjvneYGPFMKyUnP443it/idaKgYFqvN45NF68moICD9uuT5y3M7SF2pqb2LR5aiJ8VZ//BC1lbfiUH2tR4sa8A/2LOX7srthG2OkIBiMD02xWdK2h4sQf8R7/Wqq6ylFddxO2eWjZ9lXCdjeLTv8hXbqL7iW7UQMr2W5dROHwMuZpH4PkHq7a7a6kvm47RtjG0mVnCYXstLSMbsg9MLCYU6feAsDgQDWrK/sB82/k7Jk7udn3FpZxB02WXvZ27GbN2oN4PeXQs4mgMbov4w3BtZw+9VYWLznHvI5bmNN/JfX9yyieO7rEfV64hLcN3oLt8C203PxvGHYv1Sc/h90f2UT+ruA1DIXctBrmbWZk4AgedwVDQwsoL+8xvc5hOoxJ/Wj7+pbS3b2KTZsi9W2kTRpR2OLZFlzDIqOCZwqOsHfPx7DZ/IRCDm4MbmC/vYZ9e3+PRdW1WCxhuqITjB5PBXV1EaV+Vdud7LNdoNPWRk/PKnq7V3JL39tZYMyHrsgE3jvsgzTxDGaE3EXYSkb37PJ6yygqcplem4329vWUlfZRNqePnu4VLFg4usF6V9dqenpW0dOziuu2PUFxcWIeI/u5NtRdT1v7BjZt3sG8ea20t21k2D2XDRv2xq5taLgOl2sBBw/8DiPlb3d4WLz4Ai7nfPr7l1FcPMh1254e13PkSqb950ZwD8/DPTwPiFivKioibWhv3zLK4vZG9XjmcPHitdgdPorsAa4492mGQy5Oe4KEQvac9vjUWlGiC1huzCd+xNXevp72to0Yho0btj825uf0+4vQPZsZxIvLNTdtP1HUchsX6u+g2xLZGzC5rg8OVjM4WE1hkStWDt7BahY7K7nHuoxBq49XzvRxbXRfQ+UvZWHjuyjEPEBSXe0NLPMtp2Dro2N+prHi85VO6P7amptiY1OLfXbtjTrp055a6+eA3HaznGkouCG0jl8NdwLgdC7E6Yx02hW6lIvH3o9R1o7LNY8RI2ayghYKFbDi4L9yrnI/J5wObrzxt6ZZDfRXUzk3f5tNBgKFsc2K+/sXs3bwWoqG1uDwz2MVYY423EhhoZuioiH8vlIGBhbT0mLu0uHu2ExJtenuDqaEwnZ6ulfHfjudC9m18xPceuVOVEVzxnsLdaJbj/miSRU7u3/fh7nyylew2vwpm9DG09y8heXLTwOw+PQfAn00N11JaWkf8+a15fJY/G7gJgBWGgsZsCRu4jw8PI+amluYN7/FtEFXFoNVxkIUCtVyM+eDYQKBIgzDmjJgPHL4fTEl1uOpTDhXjJ0PReUAqNSldMdfoC1cF1rNkVN3M2frEzk9V2l4Dqv3fhmX1cVJSy1Dg1WgSOiYe3uX0dx0JQ6HN0XB0lrR1HgVC/8/e+cdZldVLu537VOn9z7JlCSTnkx6JwECoYbQAypVsKBYr4iKgoqK9V7vT71XvZarEhC8ICqCKKDUUEIIhPRk0ttMksn0U/b+/XHOnLLPPmVmzmRmku99njyZs8vaa++99lrrW18r20lPd1ZMOz5+vAJj10JwBCbMJ1vLWP/WBWian9bWMnK3r2KCdxz/cD/LW+suwmb3MC0iaa95kOzVxjb6a0PCG0DTrpns3TMFv99Jbu6RuAsGvezYPpvMIzMAa3OJ9vZiXlt7JTm5R5lkyhmlNS2D4tT8YQ0juYHD7qZp1NRGLyRs3bKQMWNfS3heR0cBDlNScsMAr9fNls2L6enJpLS7gtFL/tvy/M7OvCjhrWlXI7V165PW1wqFwehD59B5cjyP2N4KCToQuygTqKhC161NdgYDR08RdS8+QDcedp5zB3Z7ePKh6zba2krYvXta3AWdjo488vVMTmiddHdn4/G4cDp76OjIw+nojkpsPOaF7+Dojp4k2XyZ1L76VQx0FBpzGUXrtknkGhlowfHD4Y6ddB45UktpaVOcuwr0hbt2zeTwkXo8PZkhoad3/4njYYuQruZ6ju2eiat4B9u3zqe0fCelpTtpamoEYHf7RmqyJ1PkzaWrK4933zkPgAbDjs8IJ5qe5K/G1byMzKPnM0ovDmw0tXNNaWTjhh439S98F7+zDWdnWBOjoSgwstmX9PtQbHh7RXAh6wk0TQ/tyd5nbWVglQEpQ3cxZf9FbHV2YbN5ozSWuXoGbpws90wlAycKhRHhnt/7TKf4R+HExlr7dg4djK/FPNFzmEVMYKFvPM2qDWennTwjoL04fPw9MrLKyKUo7vkHXziHURf8JfTb48lg797JNDS8Gvec9vYCsrOPR23r6Mhj185ZGIYiM7OVjo6CKOEt0ozz4IHxjBkbTtX05huXArBSjSPjeAVeexOb3jsbm82D3++kVM9ho89JRcVWTraWhoTYyFHb68lkd1NY493Zmc/hQ/VxFznTQVdXbkwi861b5zN27Gtoms6Rw3VRx2/ZvJiJkwKLqYcPj6Euov/T/XbO6plK/frl2ILf6FzK2Gk7zMaNZ4cWIRNh6BolRi4aKureDx5sCPWLL/zrfWiajq7bU0ouv3PnTA4dHMdSzxgq9QIe3dTGtOlP47JI0j3FW0uup5yfu/+RsMy9e6aSm3sEw7Cxb+tSDhx5HpexmRXVh+loX8mLL1xPfsFBFrWcTYM3sHi9xaKcgwcbGO0efKsOZ3sVhmFjz+6pjK55p8/nN+1qxOt14/U68fmc9HjSb9Y6mJw6m5URicKNk1H+IvbaWqL2aCgu6p7HQc9xCo1sXrdvJ8NwouvRwtsMXx2u7ioKus7C69xguULy5huX0tmZn9JHm4gd22ejaTr790+grGwntXXr8HgyeG/jMhZ0nR86zo6NlR1n8bt34vtulb9zO4cm/xxHdxGtW5fT7LGTn38w7upnJLmGmwzDyVLvJFpUG9tsB5npq2fUG0vYUfsH1NhAh5dzYEHMuQ1dDbS0VIUEqs5Dk8mqiF4prmnPovTEQsZkQDde8l45j986nyen4DBTpv4DXbfFCFBte2bjax9Lta+UrOZp4H4OULy38RzyCw4wdWriju3ksbB5olnABKj1l1Ck58SdqCul0+irBQJaoqNHwwNIZ0cemVkBwaa9vQBPZwHZRkCHX62bBnilY6Zs480cnvxLAKo23oaGYs7BVXS3zeJY9i7apv0i4b1pKPKMLPJ8WSxXWfzxcODZlZbsCgliR4/U0dFRSFdXrGDq99vZu3dqUPg3yMs7jMeTgcPRTX7+IVoOjGV+Twn7HWFtR+TqnzJsqOCA395ehCmmUcwz3bVzJpf3zCXPyMRl2OlR4Um43x94br2LLPHweFwcODCRm7rns9v1Al5lverm8WTS3h5rFus9WRWzbcuWhdRombjH/d20R2EzNPwW7y58nWgzrzffuISurjx2NzVSUBAQ7nfvnkZ29jGKiiIn+IoTxytobh5Ffv5Btm+fx4kT5fi8LgzDxjh/OdO9tVjp5gxDsWf3NEpKmrDZ/GzatITmo7V0dORTWLifisptcetrTeAdujsr8bo3h7bO9o5hgr+Kv7yzP0rw9+u2mPtOJ1u2LAwtQHRuPztYQ0UGLore/ASt874Xros/8E3v2zsZT08GumHD21xPbvXb5OUfoq2tmIMHGnifZz7POt5ll+0IG95eQUHBAY4erWPmrGhtgqO7hC7VhcujozmiJwUqOAlUKPKNLI4c3kJp2fjAef5YS4Mtmxdz8EADeXlHmNM+i6NT/ye0b1XPXB53vQYoOjsKYs41o9A4svYj+GydjDrwKoem1rN920l6Fx/faP4bRzqaaHJshqzG0Hk9vjZcelg4tWNjvD8sFB7s3EVPeyGZRWHBQNPCgrnNl4XNF29yFD0OuQ0H3crczyi6u3N46cX34XB0k5NzlKysE5zTdFVKZQJgKMbo5bQ3XcIbjrB1QZW/kAu9sSa1CkWm4aRTeaK2N/grGeev4H/c1lYC9tYWNGULlVFihE2z2ve9yc6Df0DVLGB+6aWwby5Uxy7QFB+LXojMzGyFZL7WhorRUK57M2xWFjBbD2vTINzvzPaO4Qhbo4rr7MwHILt7GtmA3WfjSedboT52km80z7e0cawlbOnR6Ktlvb0pYTW3bl04qMKbUjrK1NcePjSO7u5scnOPcujguKh9ru5C3l4fMIMs0qM1OQaKer0sJLj1kqdnsr81NX8z3dCY4atDodi1ayYer5vOjgLT96qFzJDbThZFaf+saDtZgt/vxI+OGydZnZW8tvYKlpz1u5hjbXqsPWChx0lJl43jOU6OaIFx2XlsAq+tzUfXbZQ2VzLT8QKzR7+MTy8NjF/A8WPV5Pckc7NQ2Cz6sXRi7yqiZu2XwPEynZ0WC4MWbNq0JKR1h8DCZVdXLq++ci0Ayje0bgR9RYS3RCTpK7NwMVYPNOQV3kYANphWkqf6AisUo/VilnomsXOzl5w5D4X2t50sCnWSA6XXhA/g0KFxtBycgFf5Q3WIJIPoD/pCzwzesu+iWbWx1DuJvIOlZLVMwebN4oBtKzt2T2fP7ulMm/5UUgFu8rFFzO1pRKGopojp/trQvgk7r8dz8Fy68reTc2QmOF6OOvdoez4t2+bj6XmHzs5cMk6MZsf2OYwZ+3roGIeuyD+6iZxRM8khMPhUtin2aeWsffVKdN3GosUPRZU7vXsCY/aFO53Z3jGhAdzKJ+/IgQZKK8ODWfXGW0J/uyyEtxwjgxn+Ot4+MQpHSaw5qltpOIKfm2ESTjZsOI8ZM5/EZvNyfOs53NizNLQSD/C3CK1Mz86lMWXnHViEYfOgdBu5h8OBNtzto6hor8ZT8yw9eU0x5/WiRTT0YiOH63oWYQB/2daFv34tXV05NDcH2pCuOzjWUkVhhLYyWnuiaG0NPOeurjxOnizD0XKIzI59EMfCocYfEOSUoTCUASg2b1pMZdVmDhwYz9gxb0Qdn+EpoMjIAbvikqqFPLfhMSrzZ/CuPbFWNxKHwxO6d5fhiCu8QWD11YyBgbd5LI7i8Ls+cWg8Dfpo9DHPhrQDXq+Lqb7R1PlLecIVuA/NUPi78rFlnAidaxZiuroCE762thI2bVqC29XBwYPj8PudVFW9R3HJbvbsDvjj5ndVsOm9ZYBO7yTcbmhM89Uw01/PEye8jI9zbz092bz+2hXY7T10deVxlnciR45UUX2oiLaCr+HMOBnnTCsC7VozdZx2NNw4mHTkHAzjudDEsfNYNTMOXgwz/9qHaySmtbWUvLwjHD9ewZHDY/D7HDhdnRTuiw5AU946FffGmzlW+yTavvkhH0Zdt3PoUECj0uCroHrbVJ51vhs6T6FY4p3IKH8xrxnbOGClUQSezH+BX5Q+zg/abmfUwXhPP0DGK9+DVT8FwKlbTXoUJ0+WcfJkGed2L6S96iW6CjdTtH0VxUYOq3rm8LjrdYvzYnFgo37rGopaNuLuOY5t8udo0QKCQqbPhs/w4NjxT45OPomTxtB5B7qayDGsBe2X9/wve/0Hyd61gMzyLTgc3by3cRnFxB6/4di/yHLkMSYnIhiYSSi5wDODo9O6eGlLeDXdZdjx4kdXBl6vm2PHRtHWUovDa/38u7pyLcyaFQpFo7+WRn8tBgbHVDsFRt9X3BWKqb7RvGPR57iO7EPFmdd3bHwMCsFvBBac6jbfwi4L4S1/TwuRWaf27p1Mjyfx5NIA9u6dQl7ec0DYV2uybxQb7WFz1rfXr6CycgtHj9YwwVOHCzuT/aNwHZsBrAWsA9topkU0F46YRalMI5VATv0L+JUqShmcPFkSssTp9WtqPVFB64mKmOPP8U7lCecbKGCJdxKRYpMybDGCG4BOfFeNY8cqKSwMx+Xbv28SdgJjpNebQdOuxHEQtr53NrPmJzY51IPvQlcG6zp9nK0m86jrVXRdi9JMg7XwpqE4eOAlarMnc3bp2WQaLvzorNN3ovu6GWV/ixmjngFAKT8Xe2bytn03tf4S3CR3DrO6Zjqpe/EBNMMOjuSWLRvePo+TJ0swDBtbbV7Gjn2NkydLaAkuOtgMjQt6ZvK37sFtl+lGhLcE9OdVZu24GN+kwIdn7FoassdXKMbpFdS35bGdsGDxTtAsBaJNLiNNIMyT5S2bF3LyZClz5j6esC6Xe+ZxTLUzyqy9CXJJz0xedmylXM+nSi+kylOIHz3UWdk9gU4vUtAzTzL9Xjc2R9hsK2/fUrKONoY0KVY4u8pwdgVHN9MY4dNteDyZbN8eCCAwFsWBAxOihDcM0HzRpmLlnkmc313G/zlf44QWPWj7fHaUqbOd4h/FZtt+2rVuOtoLozrcyvUfh6JogaGiK2wGWq7nx9xT7zMb/96H2L3gXpTSMRwRPgvH40cnndw1kdfWusjHyfKe2VGCG8C4ndeyyevC35PD8uOx0dmUYadgz3kx2yHQ7mpe+xKezCNsG/s7HGWx/i7md5VJYACu6xjP25tiJ5MbNy6LWuHzWwg3AJmGk7LDJzh6fB/fnfku47vCjtXV/iL22VqY5a0PrUxrKPzB99Trh4FBjPB2njcgtFTdu5CK7k7s37+DnFXX0Ko62GtroVDPptaf2DG+oyM/dO9n+SbypPMtgJAfncuws8g7gWed71oGJ/Gjo2nRAt/FnpkcVx28vXEZo2vexmbzUfrGZ5gSXDy5oXspO22HKdJzyHyrnn0L7w2dq+s2WlqqKSraR0tLFeN7Sjl6cgstxcU0H62Nus7+/ZPYvz/ghJ7fZMPuHkeWfw8d2YHvdPrJMmY5J4eEqDHbrScCfm/g3QZMRwLa8gZ/JQ0ENCpv+1KZiCWn99uY6K/mj1sWUl+3jubm0bS3lVDhPkb77nNoq7HWYnh6MnBamAJZcfToaDZvWorT2Qk9OaD8tAR9Uwv12Mlo/v6l5O9fykF1HFzrYvYbQL1exg7/YXbbjjLDF9CWO7HToFcwtqeMX7qex1BGTP/ynxUBn+GOygJIYA3fszXaZNqhRz/zjqPRgoUNjVFv3IXf2Yrdkw9AcYRmJxnFei5VB8L+ljN9dRzRWumkh/Gd4ync9gfyOnt4ao5GceR1neNRbutvasqOJkZ7jvB2/dm8/trl2GxefD4XK1RssCmf4eHN5qcTCm/FRg7jG+dFCW8KhR0bngg/m9w4wiTA/q1LyJ39hygrmM6DU6KOUajAIlAErZ2t5GWGBcJE3tSzfPUU6TlstO/lqBZe5NB8XvxG7GLQ/sPbyO06AhSHhDd7nEmuzefn5ZeupaHhFTq7cjl4oAFdt2MYWPrgQkAwP36sih3b5+B0drJv32Su715Ml/JECW8Nx+ax7mQJ9XoZC30RCwtt1exumk5e/iF27ZoZU75ZiHEa9hghxmyVMsc7htcjtJypMNDYAPlGBjt2zCY3txlN87HpvdgFz0zDRafqoVjPocTI5bqewLiaiStKeCNOxFRfgsW+je+ei83mobxiG50d+dYm40CW7mZj7mYueHEvpa06ry5eSr7KY3HXdI6SWHgzgvXSjMDonW9kcVP3MjZ6/i9m0cLcpwTOAwOd/Z3bmGtcBATe73xfAy7tbUpyHom8W0qNvNC4G8nRo6MpKYldwLD5XQymB5lmhMfkZNG/exeTIaCBPXqkNjimB86r0gspMXJRurUP33BFhLdE9EN6q9t3IdtdJ/Dbuxm785qY/TZfJvbOYnyZzXR1ZeP325niG8Vx1cG77yxn8pRn8XrdbHj7fAoKDqBpflpaRrFw0cOhMtrbi/D5ojv9je8ui/qdbbjJNTISDnDlRgFXeKKjrFmtMhVGmBLs2jmLoqJ9aJpO86bzKKiP1pyVv3czAP7ju7AVRNuWJyO/x8JXzOI4rTsbZUSvLilbKRoaF3ga2WKPzkaxu2kG1SbTl16znze1nYBi47vncJ1vNlm+fADceZvieEJBNm6WeSbzvDMgCNkMjUm+gHDm7imh4Z//gaH8PJT/ZyZMeAGPJ4O2vREaMdMAN9s3htm++OH963xVlO66FSf2kPauLyjDjqujEhXHvyieoN3oq8VlONhpO0yzFunIHt1G4vktOQ0HGR4dzV7FxtImLn+mifcaasnqzKOoawoXZEXfS0B4CzPBV0WppwwvD0cdV2hk46xuQ9k1tMzwavQ53qkc8B+jXM/HiZ3HNi5jwoQX6OrK5cjheurHvBk6dvv2uaF7r9QLuaxnDgYGJUYuM/11uA0Hdmws8U7kBTZFCffvvns2GT4PdBUAYd/HHCODk6qL48erOH48YFa5yhM2jXFiZ4I/aG7ZnhtalPF4XExqWczLJ8rJyj5OR3sB1xtu2l98iSdWXWb5bHuZ/c4TZOjP4O5upjvDjbPHQ/b0D6CNDr/T0fuei8nPYhgw7b2P8Q6bwtvM5qo+64ll+9Zx7OisZ/KUZ1Ny2LdFBms5Uh/yh7VjUDa5gdx3qvA1XcqOpZ+KOfedd5anHODA3lpDpteOv9vBJWoOf3CF/YPMLbzH247LEejXyox8y/KMoIZwuXcqPV4fbtNKk4ZGkZFNs2qLO1bYVOLv9Vntz0TGHlVG9PE9/6hiQkcTW8bWMdU/OvSt9gpuvdgNDZ+FWe5U32g0FG/bd5NhOJnsHxWl0bFj4xLPLAwMduo6+Z2BvR9c+lkeXxc2gUTZUTZrU2Sb7ievy4NN92IYWsg/LEPFThoVWmw767aY3PpNYpMBdqUR2YtbjVUQMIOc3lbD068qMjLaKK/YSnd3DtOOLKHo5sm0/DJ+UCN3237ItJ5sm7FjY6xeziH9eJTwBqBbCG9FB1/Da9ofr+/NqK/F73eyaVO04PHOhvOZFsfPygBK9DwOHAhHR8zERRfRY98Mfx2T/aNiAr0YwJ4902BP7CQdYjXqbhyhb6SXAiM8V3AYNib7R5FpuPinM3Wf+d1NjVF9dV9Rmo7Pm8kbr19G4K5i28mFnkaatKOM0QOLyL0LljFlxdHq+Al8a9u2zWPcuLWx+/1O9u+zTtfRS4fy8WbJm1x5wkfFIbhmi8JdP5t2lTwwjWEo3IaDOr2Ud4Lfkx0bJ5vrcFeHLQVaX12GzcJSKNfuoT7vEFscydu6ihOYBGDH9nlkZraSlRUdAMpuOAZVeNvbsZlRWROY6KvisLE3+QkR6KaFPIXCBvhHluJt0FMFjHCs36ZDd/Jmh3WD1rDRsOP9TNzyQRx+a3OMirc+we7d03hv4zICw5nGCu90Tp4s5dVXruaN1y/D73fS3FzLkSNjYjQbuq7FTJirmudykSdgt+8yHJzrSV8+mRq9lFI9D2WooJnV5ax782K6D01DabGf6LrWX+P1pN5Z96JZ+QQZivM809i7NbAy5ugsIXP7TNCjr1u343EgIFjN8tVHl6F0NrW/SZtpQhCpkSzQc0KCG0CWP3EUo7F6OTd1L+Nsz2RWemZHdf7KsKPpLsZsK2Ddukt5993lzPWEB9SZ+t+x+wOTpIXexCZVofrg7pfgFkm8gSgeDuxM89cw1p/Yxr3XrNBmKt+GwsCJI/MCDAVT163l8j/8H/lHazjsjV3TnucL+yLM8Y5hsW8CBf482iNCrLe3F9D1+s9wVgWmQUoLX9OBjRq9BBcOFIpjLaN49ZVreGvdxfSYokm2mXziSoxcSo08FIocIwMHdhSKUj2g1dj47jm8/toqXn5pNcePVYMC77az8Xqd6LrinXfOxY6G3dylHnyXeGzduoAd22fzzobzgu1NC0ZA03AbDWR0d1O3rSSgmTAUuT3FUeeX7N9LUUc7mV1H0QyDzM4u7H4/RpIVRPvxeupffICMzsT5yvQ4mrcTTSWhvioVIifZE3xhX8FKTyXYAgOpvacA5Y8WFvUna+OalB880BCVRsTnc1Cw7xzmHMpg5pbmGFO4A97ovsXuD/cfGsqyv+wVMhQqJLgpOil1fowM/cmoezP72ABk6zrTSqwnwvayTFaP+xw/vNS0CGXWgnfpTH9rHTf2LGWuL35KiLO81nnRvPiZ7RvDxT0BP1HryIxBg0J/WKybNP2cmGP0eGqoYHQQZYoSYpXnWlmojfyHp9HeXoCuq1AOUsN0MYXCrsyLPdb9mYaiQi/g7K7ZTD4+H/ema6jdeRWVRiGO8izaO5ri3AhonuiJc6kentzm6/HMFqPvyZF1CbrFN2j0hCe4PiPYf8WZY2RfcbHl9kS588z9by95RmZIhdh7D5HtwHvgrd4axi0bYoXlDCP6e1WGosDI4jzPNOr8pSz1TgoJuFN8o6j1l7DAGz/ISy8HDkyISeXj9bhSSmcQfR+KeFPcAiObGf46co3Yd9q0qzH0d/Mu65y4vVc4dLCh3/lbm7IDGsmfXxCYy/UKxzYjuclho6+Oq3sW4Gp/ijERi1SHd87l5MniUB7Uji3Wfbhfc3LB7Gy6l6bitxdfDPN63ax7cyVNuxrpaM9n48ZlgXsZQD7JVHiz+Rk6fO3M9Y1ltD/x88+L+90GUAT6pZEmvInmLRFxXmbWscm0J+jn2vwGObb4LcHVUcWe3WGzES0owAFRIcWJOMJcMafJIXSGdwxOw8Wt3eegY8RdlewPhgGXembhxc//uv+Jx5OJJ2h/r7ToQarrtf+i6vpCbIVnYbzYjnLGCkGGYdDsM/Bu+iPMDXfIWu8KkjcbnyNgr16jF1Ojl1DTdBveQ1dg78mjq+1lOo3o624oq49awY5EKQNf60HWZ/lZkhNu8sVGLvO94ziinWSmL1pLqFKw2bZjo6DLoNBlndNkSlMTrv0nyfL4KJh9bmj7L5jDp7Wv0uaoxtv9H0mvky78TWehVayPa3YTj0DQlOjgFTt3zAqtju7cGdAqzvGN4VVH+DgNDUfmcjQfIVsfpzcwafEDGzr9TMsMt/cGfwU9ePEpncnBdAc6sHvbQjKy/4RSOps3LaFh/1Mo57Up1b3X5PHYsUq8XicOh4eDB8bFPx4fWkS3GJ5cBQIm9GIArp4CXl57BTabD683I7iCF/3d2b3Rq96ReL0ZIT9VDY2pvtG8a9vLZP+ocPRBn0bx4UUYmo8ip4+TrnBkyGUvvmJZrmfLX3CMXoTSbPRs+iMArhez6FkcMKcZ/c5HcXQXx5wXq3mLZzapY29twZcXP1peJJEC7RzfGHzKjwJKe0ZjLwh/Z6Ne/zwtY/5IVvMUPH/X8R/ZAtbWwLS3ltFztIETxwM+LMePV7LI5ybD205V81HMTn49XieRrhpmQcNBbL87JcJX+I8nvGRr8IGSm9FUBzYtYNLeO2E2m9D+8uBhahd/HqfhxGz0qdnaKb1jIa1rwkEp9I5mtKzYd5Kj+8m/9mr8XYmjctbqJSzyjuclR3T8N7/yo1BUGMmDmZy0byDHAbYLz8FZY05ObRAv3I4RtIKY0J7F3syAADjWX46ya2A6y1LgMjTeWncxdrsnoLVT4B4XXd9es8lI7AkWoxSKWj3WzFNpir91/w9XZH3N+l58PVG/F3rH06K14UfnHK/1gqi5O7U5Gyho3wqmOaPedSL0d7s3OiqkGc1mfW+JorMWtFovBNqxsdIzm922ozT4Yxdsetb/BkfljCSiW2z/4MBGhuGkK2jVkhNM61Ojl1AT8ewVivm+gNDWpEXFRra+jqHx3sZlNIx/me7ubLZuWYRhwMRJ/4qKIBmXBIGhICBkJiJ79zns8Dvo6clkxrG58WoZ+quzI5+8vPB9OQwbfnR0q9WLCOb1tPEmsLNCcfjSkxx3GMzRiWnnlnVs60Btexa97BVa8i4jN9iV2HRXMPhKwHe8x9/Evw49SkVGHdWOgKsCQIZrCtx+N92v3Acmi3G7irbTSKR50wyFroyIgGUBdhx/m8RLg/0n8+2b0TOKeXVfE2eXlFHlLyZRq1juncpzjo1kGa6YwIMQHuNT07cPH0Tz1g8cvpyYjqzFF+gwOvwGLx85yMk/fwJD7wIFztE5eA69w8YTgQ7bvNrW+7vX9A6iJw5mFnnHc3nPPGxHAjb82tFJOIOOwlYTyIGiguVardpmNoc/WO+xOlA2plbnYXPZ6Xzhu7RsjY68t7tH56mTPl7u8NPduo+3it4K7RvfHliZzDkxEWd3Ebkdo6IGAUd3Ecqw40NnY0H05KK7MHoimdkc9m84ucWJvavdcnCa4h/NOd4p5JtW6jWTFmBz62shP4VIWuqP4W/ZFLMdQNP9jNn5HuWHdkdtf8sYy7Ke75P3scQRLtONv6uQd989Nyo89NGj5klaLPlGFgWmKFwHDzawfdtc3tu4NBTZUUNFrbYX6FmgFC/XPGYqMRje3KPzxxNenlXBCTAa0/21zPLVhwYwHejpyeK1tZfz2torQ/4Dyp58ZW+5Zyo2QyO/S0fXHax/6yI2b1rMzp3xHcbNX06ekRm4DzPKoMyfi6478HozyNbdgW/PtPhi0xNPJHqxGxrzfOO4sWcp8yM0kBiBsPKa7iTDn8V87ziq/YWs7JmN1iuAaNG1NrqO0/nPb9L1+s+o/OZtABT8n4e8x3KofuNzloKbJX5r4c2Vl4Pr8F4cx5NPxCA6V6MLB8u8k1nqnYxdOcicWYT/eBOGt4uMk/VUv/UpCvaeF1jQMnyMiaP1LTi4kBJfUcg30udzoaFhi5iYLfVMAgOcPUaMltGWHz1Um03C5nrHRkUJdHc1Mz/n39FUQADWgmkGeoURs+Zt9rL7KJ5/R0y9Syv/g/I7J6I5o9tJ91u/trxP45aLqfjKPZb71h79Cx5/N62eZjQ0JvqrqfZHR0bNsWq7ETiqw9/Rf0/4Bzd92obtro/G1kMl0MsEhbfKbifzvQ1M9o1innccNhU7Dllp3lRwhOk1tyz58HS0DHvMMXYV/cyy47gE9I6nhkW+AGVT/O/cZjZu+DL73/pu7Mn+aGP5LFxc07OQ63oWURhhEugeX0BmYwkFV4zD545d6PM1mSPOgtETnmL26In9OEtz4iQ5jiMQ2DtKqdgWf0Gr1Mhjjm9sKF1BJDsKrFPsOA07iyIsQ8yBuhSKcz1TAg3DgHO8U0hGokAfkXR0FPLWukvY9N4y/H4Huu6IEZJbWmIj/gKgJe5zY6wjTMzyTKRwz3mMOXRO1PwjHuY4ANf1LI6ZT1gxyufj1lGf5oGF/87SsizOCvYtqczfOo6+Q8/GP5BVN51ZF4eTZYejUysK9Cx0dA527WDdsb+zxDuBBl8lc71jmVYSTByv+3g1Ozo1Sp7d3BfF17xdEAzUZ8bjS81P2Uznvvy4+yrX38HoV7+Ms6mWGZueYtaG/6Lzxe9yrPtQwjILjGyu8MwLBRU009uuqu0jSxwaWbUdRpi7oDc7/Bze8jdaX/kRc9/4JsrXhdHyByo+P5fSjzbS8+p/Ur3h50DsSp0WnHDM8tUzw1fLIu/4mCAjmS2BFXpHVzG1HePJws2Y9Z+m5uWvMvatzw7GLYawGnAhcB8Vmz+Ao70SW3s5De/cAZoNp03DPW8+x3pacb73+5jzPMGH9/dGxa6cXbxS+go3s4Ycf2AFz+7PIO/EZFxtdZZmJX+pXcCJmmgTIn9GtCayfOOtFO66iF1PV8OeaHvsVMhqDps7uVvrOLDrL9iuzyXbFp1oeMmHb6X0k7FBRAIEb9Qf7RekA0cowJ6ReqCBdOBTfk4cr2T37kbeXr+CXTtnsGP7HDrM/iUWXOaZTaOvltH+wMRf1+0cPDg+FBACAoP5Bd4Z2AwNt+Fgrm8srYVbebf8Ba5piPD/NLWn9389NmVEL4YBXiPgtxAZVUrZk69O1uqlvK9nCRevP8iC19+muzuHo0frYmzeo4ldWLnUM5sLPI3R9QLsys75nunU+ks4yxf4PmM0bwme7XhfQKDI1TNCfleRq65FH/lwlG+nIrDYcIF3BqVGhPBhi30WeusefPtfR8sITCy1bkX2C26yjlmb1/XeU9Rvn3W4Z1tmFsuvvh73oT2cOB4Wrk4eD0+mlngn4jBsNPgqYoJCRN6P5rDT+c9v0P7Xz0RfWymU7mOJdwKed6LNM/ftnQSoqBQREFw8iHh/4/QKru9ZzMo/Phr0aoi4tjPW5CuSBn90VLoZhW8w/u4fwQUPgDMbNWoOEAjKA9FN2jAUzP8I2GOFX+edj6KV1QJw9qizQ9v9zWGNWfahgCbb21GIW8VfXDnQuZ0/7vl/PLU/nDrAPG3t1WDHI39lPa6FpXy78lc0ufeja4oMe2AymhXhT+rw5FrmTgNCwpsyAoGgFvgaYqIZ92J+D0CUWXa9vwxXjXW/mK1FT5Lj+Qn3vopnTlpoDDRFj1Px2Wub+eB1sYE0zJq39r/dHWUZ04u9PIvC1RPImlvOeGd9qP00+moZvecZyu7+EAXXhE0Et2rtvHRlDXsmFLKvLvC83mp51tI3DgLm4E6T/2OVv5AeU1Li9W9dwDv/uoX6l76FzZfVNzd9DdqWu/j8LdYGWB/oOYuJ/vCCciYuZnnrydczA0IbAb/5azwLWd2zKKXAOeZF775gDgr03sazLY9r2z0v1LcCjPFHmwYm02y5cTDf18A0f01cs9bImuzbNxGPJ9BXbt2yAGfQ5D4ZWXTzySWruWjcuagb/xxqYfHMgaMITikM3SBjangxboavjkp/Afl6Jmd7p0S1ryzcnOWbyDR/DaU5gb7Jp/vQzdpxFS3MK9OCQdHNYV++Sr2Qi55bS3ZH9KJHdlf/gn8ceHpi3H3b9+9ia9Nu1h79C0XHt2DTPRhdx9nbZpVtLkAqJq2hxZ6CkWWIOLJqe6oJfn9W3Y15IPMa0HNgPQWt4dDhWqYTW17kAB72oYi+TOC3CwezggPSAS06F1zFOx+irewNspqnEs4TpOFuj6+hSxfxuyGFo6eQupfvD/5SdCkbOLKwZ7j5zFkfY3LLLr4Sp6w3xwVCwx/IOkANhzisGVGLPOO2Pwqzr4u56rwxRVQUZcPr4RWXk6WVsD/cYTh6CijZdg2tTbtizk8FZ1cpFRs+TGfBZgp3X0D+gfupnjyVExGRQgHsDgf2yZOBFyxK6W1AZtOh4P/aqTWy9kd00pEJ50/4DbISmPlCYMCb7RvDcdXBHluz5TEaGlV6Idf1LMZBIMTyqmWLWDh9GQ0FDWzmQQByTzbRXBwQjgvKM+OaCEFgMprZXkt7buC7ygy2d3tpuFN+/sIbuTTO+U7sdKOo2XeQV+ZMj9p3tsfKoTz2OTixx+TbMwKG8ozWixmthwfPGBOquDNeWOQbzxi9jMIOHWd1N76W6Mlpycc+xqTCl3nxpcBIrbXuhqzYCauy2zG81oFDIn0CSaIF9JjMY+KZTbrduUxZdh4nv/EAb2+5AOe0gP/X8S3haKLjg7mwNBRvND9NiXsUNdnRgmOXboA9OASZfIQMNDB82LEx9eDFPNKST/aoddgdPezbO5mJaJxU0au7GgpM2p5MXDgmTmTexaPhpYiwj6ZHEa9P7mX6174M2dkw/8Mw9zZ45RDs2sls3xh22KKz6EX7JcV///cuvJeFTQuB+6K2l2+8lcOHZvLW3jHkXRL/2/AqHwZ+HFkXxb2e02aPDf4RpOL++3GNLiW/uoDnfhMOV59pDwht73v/+3nwf3+P54Qdd1c5lhb9ENG/JZ+YaxYLgdm4ucDTSLNqi8odF4lCsdA9id3th/ErncXeCSE/xJ1tb4M7+mgA5/HtkGeaDGqKm6fczC/f/SUOmxPboiL8L4VNqczCm+G1DlsVeRvlZYVctnk2x1UHdXopebcVkHPOOSibjRc0H3//+05yiu185aZA/2f70CzeBraefJ3tbeuYGpF3LRJzdM0avYT9vmNs3bKAoqK97N07hba2Eq7umR2aE/SFyi/N552O9yAYyHqsv5zX7TvwKT8TfVWWAsgMfx0z/NEuBpFB0XKXj+Lk3+MHkEhVdLvQM4NnHG9HB+GJqY4KmcIDHDjQwPFjVRR0FDPVP5o21Y1X+ZjvbcDTk8XezEBuubne+L6jqRO+E1138Pprl+NwdNPTk9hXfqF3PC87tuA2/CxQb4ItuMhR0gCOrERKrhDHjlWSeyKo2auaGTRPDmDHxkXecKRQ3YjT5wcbsK8fERbNi/m5J0+ybN1Wnlw8HV0ZnO+Zjtb8Z8yJOlIhUfs46TnOodbAfC6qBqaT9D0L0Ea/gqcngw1vn088w9cwvb6GfavrUCOatzShAw5fZ9S2oltvjfpt88UZCCw6SfNKsN2TT8He5eEQ+3Hofut/U6ht3zDiTOzD3kDhFW+l2WDeh7BpigPZJTxTM9f6pEDJUbsc7ugJaNV+K4EIpo3Kx2FScTtcyc3o+vpt5h6aT/mmm3B2lmPDAC25tieKOBrLXgMQlURgGjA2Re7ysHDvS0P8J7N5WdS+YJt14winm7A7GV84HqUUjlEBLUDDtofJLnCRketkxW2JTW10wN1ZTmZbDZntoyg7qOMcMwb35LDgtWFWHMeoXpQWI0Cfe7KWMbqVSV6q78QgOyOFXDbxBk8Cwm6lXohTN3CPjfaNy5hajLLZmPa+xTQuH8WYmSVUv/0zPLtfRO9upeu1/wodm70sNhR2iAitnGGxyu+KXN0333oc4U3XCrG53ZS2dbK0bRHrX1/F269fzpyOaHPU3raiG35ePRobMbLJZxIuTRQ3nIgqbf/+SexumoHf72Sar8bSTw2lobdFx+av+8OjzL7UNGEzCdVvtUSbuUX2yZmNJdiyIyZlmg3lCNQ7ExfX9kQHNUiWd6iXQnchqyesjtlu82fgOjAfX1chRlDgLvnwtNA1Q3xkAY+dtR+bMxwMKVL4qfOXxl0gyr3kEvKvvAIgJhCIyxZ475WVlSwafyl5JyYl1iTEWaDIvzx2khxPyKjWi2j01ybQ2Cmy7Zlc27OQK3rmhaO22hWvN0enW+jVrMxa/4OYcjSnjY9M/wj3L76f3170W8rOMwXQMAlvD1yVvD/ILnBTbOQyTq8I+EFffhkq+N1d0FjFdz+7hKW11uOTbvgtg5Bobjea6bH21uTw4bG8997ZtLUFTPqiA4ekPqZomY4oLY8LB5d6ZrHEO5E5EcFxHBV9yIPnSDxGWqXZsaJKL+T9PWdFbTPfWZGew4YN59PcPIodO2azY/s8jrVUh8zuz/JN5FzvVDJwUtZdxSxvPfO940K5eQeCucUX+QrRu/NY4ZluWddeJvmrubJnHrf5d+LG06c5RUdHPq++chUb3z0Ho/cK9vjRxAP1TLxgF1d4syVIE2O+Od1HTmcPq3sWcXXPAkbrxTi8PZanJse6L3G21uJrtQ48Yu8xjWt7FvHyS9eydu1VFpWNpfeIbN/Ikt5E85aIBJEdYkyMCAhnlQ98i45X15I5ezYZjY3RxcVpmA6LAS0VtbuZ7g0P4TvS9yiPybCNyadj8zEyUtAUGd2tkJGPvSf5is6FtSv5SfMBvtIaWBHTzOp7w4dh6CjTaroi1vyisbYAdvbPzjolDCO4qt+XDzye8Bbc29fIIX2k4q45dG87EfpdquexqXeZtZ8kqrGlYBchvIz66X/T+vgfyTn3HKZPmYqhG9iS2Jmf8BkoNLI6AuZjS+fspPKKH0dN+nXD4AdGF59S1gPZrrwqCrv3caFnBm/YdzDaX0yWP96gmdo76fR5sGXY0E1jVJYRbWpoXsm3xDBQGdGDZe75gftVmmLRVQEfuE3fP0bPW/8bFeo9e+lSij74Qdr+Gj2B7SVKOLIQJPOMLI6oOGbF3lizySOH63B2l4fMDouMHN7XcxYGBi5z0sbey1pMIPZ69MC7t1sPQTa3Tl51eygwlPmtZOKK6QM8+NAOvoXRfQJl24hr7GJyzrY2GzQM0LId6O2BBaOTnmYgHCQjsv/NPis2R2Pkarc5zHjUZHwA84EeWxdZJYG37arNo+DqBo49uDm0/9a5H+aRvY9HnVOvl3HC10kHPcz21cfk0QzXK1wxcz+U6ciMOCx8XCKfNy0zM0aIy5hcTMFVDRx/dGvEtfq7XqxQmiITV3Qi6OA1XYf20FM+GmUo5njD2unud36Pe2rAZLv8roCpa4Y9g5VjVgZO90W3TcMf/b1uGgVsJZaIW7WXJp5Ax5A/Gk6EFyoDwn70BNQ9fTo5jz5LuxaojzJUTN/SS6IFtWRopsWTIiOHIn+0mXPRjZM49K3UksCrBFYUENCynu2ZHKXjb2keRVFxQFvX1hb22Yw1b4xuXys801l7MpOtG4uY4xvLOMNOjpFhGUHysFexIqgx9J/YjS0/ua93X1jpmR0VKC7R/K3ImUlhTQfMNy20R3yHO3fMoq7+TdraiijoqsTh6uSNbZPxegNtzekJ+E8aSawp4pnl9mIpvCkbXP4TePQW65NMt2boPhTBfjD4iuze/s3FDAyaj46mOJg77o3XV6Jpfi4/dgk7+YPlOSWt0UoRhYY/ImbBycObyS2bYD4tRK4eeKbZg5nbYBAQzVs/sRLeshtqyb30Uiq/+Y3Qqmb0QXGENyN2ApNMeFPO2LIKb1hhUbOB4851cqixlDdiYvoE6rh32y8x/F58zdvwHQo4v9pSEPQuGbOCju2f55q2gI21pmI7kq6Xfxh7olJgKn9WXWHMYdsPPJO0Dqli9F63L8TVvMHVs+In7U4LdoUt1xWl3Rujl1Pvj9XcmltMzrmjKbl9GmWfnU3lfQvJOTfCry1BpC4rW30tQmPhqquj9FOfJGPaNDRNJRTctGw79tpcmjzhwensD0yg9pMfxDk62lRYN+D/8PJyu/WCwd/q5vPPT3+bKr2QyzxzmOGvQ4+jhXRPiG1HVvgMv+VExY2DOa1FjPIXc1HnZDw7kgel8Z/cj+aOFgDMARviUfq5fyNj8mSKbr8d16SJlH/ly9EHRPrDWQhvS7wTQzEQFnujBzjDEz0Jeu21VWzZspic3OyQZqGpR8eJPa7gBnECR9C7HmLdBrJzT2KzxV8AeqvlHzHBD7zKR96eQGLnnMU1FN88BVdtnBhiukHh1Q24xxfgmW/Db0Rr/SNbubLoy2K0YBEYCcK5WzH6f3+Na1y0luqkq4UnJv8QCiLMCE3h8/NceTx1ZbTQrlDM8tVzlm8imbhMZvvx+cbibzChcAL3zL8npHkL3Ezyc4s/9lFqfvubmO1KU2TNju5vUvLnsUChgZWlQrB+juNHmNji4ErPPLKDNpTPVc/gpfYDfK3nKGWfnIm9wEL4MZfpj9aAx/PRimzSWXPKcdbkotz2KH+guNQk19QqpViqj8ZmaCgjEBhilF6Ew8J2tVd4a0sQwbLrzV/gPRARVjB43ym9D6XInBntO9T15i+sD00h6MMYvZyOjvB3uWf3ZLZtm8ehQ2PYvGlJ3PN27whb8ezYEUjPc7Z3Cjf2LGWKfxTj9ArK4+Rs7Dbg5XYfO08ep/ut2LY6UFINFJd3cT3ln1+EuuVxmHRZ9E57uH3u3z+Jta9ezdvrL8Txzg3UvHYP5e2BRbxcPYPc9mBKi7j5O3p3JxbuvIaFuf2n3oXSBO3YPK/RfcSYa3v6uZBuGGzfPpc9e6aw6b2z6OrKo6OjELvhjNsV2X3RY7nSTSlF3vwpHU0vWZ6bq2cwzV+DkeOgpmZkxZsUzVsC+jpXr//Zj+NORmp++xsOf/9nlvus8nclunTu8mKyF47lwFdfjdruGjsuroA4UJZcP4GWszJZ//PwCpwCfqKd4KxDr9O+eR1ErFqmIrwppSjOdvK77nN5n/0fNOnRA33OectpeyY2ahcKSmtzOf5SOKStZhqE9Z42dh99EXIjVpEHItjqqft1hOsZ32zygSut8z+ljV4TgIj3oKE4xzuFUf6ihElT886LXpXUnOE2ndBs0mJfZBLtVFEOjYovzqez1YOxPtzpxtNUGoaBoeBoHLOHbgx8pkHMvCKp5TiwZTnJXzWWQ996jWTYfYAtNhQ6wLi1f2OcZkNvO4Thtbb8t5c48R5sB91Dz4Y1KPc8iEimq5ypmdP0asBKP/0pSj/9KTx79pgOiHhmeqzAWmBkcblnHl3KQ6VeEL3TJLxlebOZ6h1DbkH4O93Y7afCoXAl+N6tIsw5FExeUmkZbAUgVz+ARnhiMUov5oQWuLcSPZetJ5/FXhFtLlrelR1ugcnMkQxwjy/EPb6QE6+/GtNvRrVli1tLpGHwesLCT2ZjCa1PBvw0MqZZR/nMmjuX+j/9iX2fD5uJt7mO05J1AC0zvJhgJTDmuRJPOBzlmfiaLSZSpvu9dMylXDom1nM0L0KrFK/nK/zA+9Ey7Njy1sU5IkzoG7YpS1+8lko7vcta7Z6xZDsDvq6bXQ2WQnSoXKDt+DbyswKmdtszFN+e/T4Asl12HOXWpn/mPsWcI1FXOg8WPcn1LRcRvSNCc2nTKP3IdAy/nlTzBIAz+ruKl7uttCaP63Ytxo+frKBAeqFnBk+43oi+BxTH3/k/nsnegbduGrhj5xP6iT1073sd1/t+gLLnUXhdYKFGS0ETqpQi76I6/rnlOTK6/dQ88QuUI06kzziuAFqmHb0z/Gw3bzqL0aM3cPJkCe1tRbR3lHDoYOIccJ0dhbyzYTlOZydHj9aGy05xQeCoz6C7s5XS7vhC7mDjHJUdf2HOEd0uvEHLh96clUu9kxjrL6dMz6fD/ywA2cuWJbxepNVDp+8kmfZAUBnXmHwAfH6LBbLcSuiL5sxiXNEMPW4C88T1DaTQ2d00I7RtsXdCUAsbJ9Kq1xS4ytCi+mzD046x/tcYNQuY723gVftWiowcLvLMwIGd7DnlFF6ZPP/gcEM0b2li3Jwy7PnxB9LM2bOp/vdYG3ywzjFUaGSHtBwlenQUJ3uJE2VhWx6Y8A2e3a5ZMD2Rb6OpphjVUxAluAHYUpR8v33VNL6i38q5Pd/hZ/4Lo/ZVfuc7VP/XTyzP08wrfKZB0+hKcwfdL6HY+vPqwBicYCUWl0s04eklL4nZT6QgkdAcRLeIKtjP21RKxZwbb56R6NW0oPM0XvymwszCW9mdMyn9xAzs+fE1Fb0R1jBg7qvPxY14aeg+nqkZQ/vC+dQ8+KDlMa7aXNqf+jfan/ocRvcJbKZoqamsYAMxURPNQotKonmDQF9TpRfGvtue6MnExT3zaPTX4ozI7+Yz4KmTPt7qjK8lMyyum5PjYO7FdQkj2Woq/I5m+uqo9hdSoudytjewKmwWCiPN6ZJOopN8z1HPwqqOpklqb3JagG3vzg4fluui+Lap5F5QS/5K6+iIltUDanJrmFwcXgF3TyjCVhhoJznnRJuDvtLu46TfYGu3aVEiyxE6J/YKyZm4sIKyulwcLhuzZ8fRrgYftWti/EhxvYSCbZn6peLbp+I+v4apHww/u8f0fI56JrCjZwq7MnJjrC3MtHqbKbh2PNkLKxlz4xSyXXacdo1f3Twnab1CWLSL35U8yZerf5z0uJQEN8tLxkmu/b6zyM7WyXUp3OMDcwufRQ4zhcLY+yIGOp64KQgMMPxkjGmm/K45oYieNpXCIpEGtmwnXx79I36a+RPwdoLVpB8s31Hpx2dQ8YV5Uds6O/PZvPmsUJ7LVDCAEycqOHJkTJx8uMlRGBh+6+BOZvIuqUfFEbSSLQRbjZO2PBfOUQkichaF+4dLe2Zha29lXHt2yAzUjo0avQQ3DtznXEDVf/4QZ3WcdAlBIse5Fw/9HmeZRubM0pAm1avHeRa26G/dUR4eC5zV2TiqAr/9x3aBlWmmoScVxq2Jfq7TfDVh/9Z4mLSPZr/aqkXHKBzfjlIaU/yjuL5nMas8c3DhCCzSjSxXtxCieUtEAgHEvOe8W+KH4I57UhCHYSP3/FGc/Fs4SpMdG5d5ZrNHHWWcborApVmXpTRtUDRvvRMss/BWWpXD4QMebBaTs3jCSeQjLa7OpibfxUufP5e/vXeYNb+Pzpemud3kLFtG61OmwCUqdvBPRUjpL/7W/f3SvEVOTDuOvkhWyWK24+elBEkvB4KyabE28KbnYuh+DFNYpdLaXLrWH41bbuaMUlqfasLo8eMsywILF6mzvBND5kpRdRqAX5/53Hhl6cE2/0hWD5eZzPeuox2/prhpUS3+V45FnBMTbjBpXev0Mlbs3Ia+9VkKT+xDORyAhU+boXPTx64ia0EgBcKx38cG3lFuF0TmwtFsFN0wifZXD5I9rzzl9hwT8t48gdQ0bCXF+I8209dRypwqwN6buD74vPNWraJ+3R/ZWX8ZBzwGM+IoWXtXf20FLvzHA8+rdGYZzkSmocqI0rw5sHOBd0bUIQknUEk0b1amnFGXj+xgrcwmTdumH7yQ13oy8fscODZHaz/dY/JxB1e6U2V84XjWXLwmSjOibIqyT87E19wVE0TiiM/gSFugX2nzG8zKsqPbFLnn1+I9uBH/MetgWcnQbBpXfm4Wus+g89XXad1ikXQ++N1oGW6gM2a3e3IR3RsDER13tQXMWrEpIl4v7vp83PX5Uectn1zOXzYGInnePasatdVCi216jVkzSmFGKfnA2i+cS49PpzArhcBCcQr0Kx1d6bye8270UUnM1RKhmfw8zcLbu++cw7nngC3bRdkXzwUdTv5jN91bWmMWcntRyfJJxvFxTEXzFjlo91rNG/Em/VbdlqZSXoxKhKbbwZbcMWmf8zDVngSB3XzdeHa/iLNmccJychZX0fbsnqgWsenEWibmz4t7TjwKrmnAVZ+XOEhZ0TjYFgi2VGbkk7l3G6OLx4HVmui115M7NXHwOojuI1u9Rym9LhfKw7n7fIYPS08IU7so+sAk3vvDa4w/rxHNZadw9ViarvsE/iMbgxcyfQ/9nIeaz4o0E87sgRZgVHP0BET5okcCZUQv/OaO6sZz0h7qbsw+yrnnDH7E9sFANG+J6MO8s8+T1IjW9ofqPEun+GIjlxne0bh2RTsLKwXWq8F9DagRLM9kjhPPxMTs3KzZbLS094QjH6VAzeQixs4qZfnNk8gKajnKct1kOmxJ4iJFVjjW5y3Zqiz0/cnoPe14dj5P12s/puhDH+rj2QFBqZee1rdZRRu30JH6fSah+NYpqKBJY96l9THaR4g1Y+l87mscOx6elDt68pO+Pc1tp/Qj0ym4ahz5F9TH7J/iG0VDnBDfA8E8r4j3ifW+1yaHKeBNvot7r5zGIx9eQHl+tHYxns8bQPEHp+CeXGS5r7T1GIUn9gUvEO/J6Ukdyc3vxfD0kDGpiJJbppAxOcUk2oByJNe8jf75z1MuLxIvGgf2Bwb6w4frsemB77V33lrxjfsZ3fIqtU1/pbrpSXp2vwgY5NgeiSrHwCC7sIjimyZjy3NhL8uM8qOMe28q8Qq5HhNePeJ3sv4garRP4l8cZ0IaSb1eytJjy7mg9VzsXf0Jkh1NniuXHGfsrE1z2nBWZscdb7ILXEy/bSonz6qm/HNzsGU5KLhyXGgs6wz6ECcTXiNRSmFzaGguRdfrP010oOXmglVjack7wtqjf+GYJzA5TSXS7n0rp7Bichmr54zilsV15F+auuYSIMtl76PgBhjQvWENnf7j/E/pY/iUn1um3BLKfRd5XH+Zt+oaNFtAgJu2/GqOHQtrFrq6sjkekS9RKRV4VsFn68AWSD5vQiXxbYpHamaT4b9DE/04UQotk7AnfdXxH+ZZ3om4dCcZ7dXgTx5RGuANU4yizVHa6MC1et76X9r/dndK5UXy3omXUzrOfMtZM8uw51sHnElYTpz30+81ei36GU4tnhrvylG/7EUZHGswcNUFNMC2HBe+fWsxPIF4BXuS5zJPEYP53oBvn9OwR+WprD9msGTzHqbsN6UqMmverDTZcdpg9uIq7JaWCcMfEd5SIj3arMiO7RLPLLz+Inb6G7h99cxo8yYTPe89FvXbXlgYpzHa+lTVovdPJO/CWko/1miqqLniwf9UrPD2gfk1/GDmtaFtld9+IOE13VkOVtw2hfHzosP1KmXtGxMXs1bGbjFoJPmdDN+BdfRseBCj4yhFt90W3JpaHbUsO779EUJ3XgHNSQP3xuLdFz/Kl3tcAeWfm0PpHY1kL6y0nhCZVjz1tgMc64a8Y1PJbKshp3V8Ss6djvIssmaXY8uM7vyL9Gxm+WIFuhApPnTXuPzQ3+6JAT+fVDVvH11mnbdHAdfMGcXM0QUx9YjVvIUPcI8toPgDsRMkw+/Bs/PZ0O+CeGZwhpG8mWiKrLMCzvm2/Pyo1Ad9QXNGvw8rzZt7/Hj6QycaO3bM5dVXrmbrlkAi+mZ0OoImNErTyJ4ykfqmP1Pf9Bc8b/0vlRe9S57j11Hl5JWUcdUXv4ajLIvyu+ZQ9smZ2LKSTMTsLrTzv5LwEHNy2UgS9adA32Y/VhNS07emUFTqhRQbuQOI/Zf4mqlgGFA7rZhJF9XhDAYrCTz3uXT8/cv4jwQ0SPaSvs+2lKbh2/9G7Pbg4p+rNqwV0rLC2iVbjpMjxQdpao/QXiVIEdFLeZ6b//7AbL515TQcNg1HeRYKkw+NATnFgXsZPaV/fsS9SY71njb8zVvw7nyOR5s/z6NFgYBXK2pX8K9r/2W6bv/nBFn5Bdz43f/Hqs/dw7Ibrmd3UyMnTpTR3l7AxnfPTXp+qRHrnlH80Q/3qy4pad4iFiqSCW8ocFQnznXWFxr8lSxrX0h2e4IxxoTuiO6XI10rI9d7DE/fF1kcLp3d7e8l7d77Ey28L+Wk0vwyplt84yZzyDsa7yDbYbFY77JQ90Vi+n4fqT/fXMPkFbRA6X4m+0dxec9cru1ZiDPCOFDpOjk93pgnYvNGL8T2HFwfW64570aQvIvr+lXP4YAIb/2kX+tcEa2u3Mjnzls+wH9+4WpqirJQSsUP828KeqDcGZaTYi07g0QfjXf/m1G/HRVZ5CwdhaMsxTwuZmWXpnHrknrqz17IH99/N0Xf/wG5F1+cWlnmolXqz1RZmU1aOGkPWOSOmEDZsnufUWqlln1qFlXf/26gGKeTng99ol9VSBat0JbtxDkqJ7xCa8JVmxeOOOcPmnMphdNTQFZHTUibkirma1zumRcVcKfNHIQgxTGs4MoGHFXZOEblxF9hj1PW3LpC/v3aRv5tRQIhxTQZNvu8pTJX7vjn1wL+HkGco3IounkyBcFQ/qGyMjPJnD3LfHoU9pJMKr72dUr/7bOM+p+fo7n7ufrnMAlBJqGl19S57Etf6nPR/uBMp9dx/heeE3yIDkaXRPQX5kAfC28NmP9EMPXcFRRVjw7WR8UVwv0nwwGI7EuvxbboIwnrl3CxJ5lwEDmhU6YNMWVZdbYJTOrTsdbX37lfnFmdPd9Fxdc+B0phy8+n5I47+lGn2EplTC4Kvc/shZW4xxdgL8mg+JZ4K/rBovqZ41KpYzHbrv7S1znn5g9x0cf/rV9l5q8aS/6qsXS9+F2wMAe0KRtuu+n7HKD5RGFlNWNmzcPhcuD3O3hnw/m8te4SurpyybZICeCOWNyyovj2DwLgOBHWSozyR2jw43xz/TWbjJu/UkHRdaaotclMTJPs7qsgpMeZqMdet+8f6ge/8jnGLJzPqXKUii+8JeqvoPQTMym81mI8tEVronOcOcyrmB97nDsXzv4iZJfBRd+NrZepPfl9sZYqF3gaOXYsdYucgwfHMmvnIRSKIiMnYQTjSDTTnMN3fFfMMa48H3rXiejjmrcOerqmwUR83hKR4L126nDCgHwFmbOT2x4HyosusDDHhSMj3EC71v6YnEv/X8xpmfPm4WoooGfrcezFGdjyXTGNTsvqxDWqlLwrL8cfx2c5Y1IJPgt/pVTRzSFZlSIvw8F/Xj8TmBn3vB4MXMGHGW9VTqHQ4z1vRWxfaVYwuJI7MPd1EOhvTiJHRRa2bCe5F6zA9eST2PLzWH8SYEfSc1u6D1Dkjuzw+jBIWPgVKJui9KPTeevJVyl//e1giabn0IfHYnck7jJafAY5UROz1Aq357so+3i0T1OMgJ6go101I2BqtO/pg9YHmE61CqKREAXGycOhn1puQMuQMT6gJTz+6LbQvspvfjOhMOYam0/m9BKUpii69da+1cNcLbN20qxxCv4ufP/7yJwzh+ZfHiZVcpWKygq4p8DG9QvGUVccFt70HpMvld0Fd6yFL0SaFyVuwzUP/o7jv/0tnet/h614NnrHHiq//MO47/vtY88Hrm0qN6rVJdW8Jd4dVa5FNeKZlgfqMXQe8InmdLkXXkhGYyO2/Hy0jD7mJgPLB6Flh8cvZdcovnlKnFNN5/ZTeLOioKKKgookQQ0SYMtykD2/Iia5ey9WAs5AfN6SsdwTK/i6avPIvaAWz6adZG79BXmOWbRqnYwOCmhaUONub23B4cogx6uzOD/Wp8uscU0lYEnv7X95wZf53R+/jjknXfTBCntRP9pWousH/0/VPcNvjiBqVVjsnpRw1i8kc+dujM2Jj0vHAs4rBXMZlVGNlYF5RX6CZ6wUTovE6gYqRnhLyNLPwVn/Zt0BmhbHblk6FtZFtAvDoFov4tmtC6io3MLo0e9ixY6NZ+FRkJHZysED45nVlSi9k/VDVaZv0fDGLsBklfdw4u0fwIT7Is9McK3hj2jeEhJ4ufG+wzeMQCSlgivHxTkiSemmtlP5/e9YHlT5jfspWj2egqsbKLltamhSm70oMMl3VDko/+J5AJT9W/zVx5xzTSYZfVx10OJE10vGnXTSnWXHPb6A7PkVlsf0RfOWObs81mzSHFo9HSsqVkEPxpyd9LTIgd1VX4e9sDCl6JLO+jz2dCQZFRIQOaGM1ETa8ly0VxgRpgMmwd9CaxkPu9PBfG8DeXomS7yxkcLazJOaAbwG8yvssywdpV0xD+jmeib3kXKODWsEc85eFvdQV11t1O+imybjqMwid0UNVfcvpuSDUwcvwI7Z5y1ikHWPb8C7N37oZmdddDAEs3D0vffN5hPLo/s6o9siYIupDskWuDNnzqTq+99nzJ/WUHj9NEb9vy9appjY1ePnzeZn2HYyYEEQGV3Sac6VaaV5S/jI4+80J3KGgO9ZyYenkbO0OuXcgH2iv2aTSfY7Kir6J7jBgPrU7ILolfn+tv/MWTP7vvAyQCwFnEFKyQMBX3crcpeNovg8H9k5O7jUM4tzPVNDkVd7X40C3Ef2Ub/xHbIiAjMou4OM2bPIPuecqDItfdTM40HwmKsbruaXF/6q7zeU5FE5TrZE/+4psDwu1cXXuIvA5sr0108wy5HCuDbw/v2N/Fn02KwXAXNK+p6CB4gxm0xKvG/e1L9OH21+Z4Hn7PFksrtpBi0t1nltC7wumptr2LtnGj6fi5xRsQGPzGUCZC1aFK6ieS3BFyu8KQXVjW+atonwdvqSdD6ncFbFdx5PWp7pvNzzz4s9xeHAUVWFlukga1ZZVNLV/EvHUHnvAso+Pj8cTCRRXQboBJZbHJ2oM9X73oifty+spvjmKXHDKSulUhbe7PkuDJOd8+BMhi3KrEjBr8JiVVZL4VkFwjf3P2pTwaqxaFl2lFOj+CYLp/beZ2+qSs65o0N+K/mXJQ4KoDTFFP8orvYsYHxEkJJO3WB3j06zN/otDqR/TNXnrT/EeB+mUHTFV7+KlpuLY9Qoyr7whfgHmsrKmFBI2Z0zyT17dL/NxVLFyuctku4ND+HZ9Tw9m/9EpzdaDZ89L3phxRwQRLPQuurdqeQDStVPNIv8Vatw1Vn7Iez3GDR5M/Bjw+GezzLvpEBkMQPO90yPOtZK81Z4fdicqzDKtCv2nbwQjE1mK3Jjs0ruTEAbkndhHfbiaGEoHavu/W3qrhSTu/cHy+8vxXuddfEqsguLQCkuvOPT5EYErLEK1hWPvMsvT5s/UcpYXS6Nmrc5wVx2EAj+lBwdN07q9NKQyXqyvrHmd7+j5je/iYkY3SuYfr0qGIjGrmLHgIiyMyJykXW++F1cY5P4RkHSMczedoKMvduw92Ti7qwgp9U6xHyuCrcTZxwBD8BvtrKI98NUr0ztufDfCaypnKMThPsPkq4Wap4tucblU3DluOQ+w/Hoq/AWh5j2lmRlNV4TKPFk4DYcYMAyz+TEbSViX8XXv0bm7NlknbUELctUF5+FP+ZF343VOmoj2/BwZNd+pGFu8H0wC4tHjNakL0WcwjEwmWCmSLBiZmE2aXj6vmpmVXzW3HK6t5+wDqXdT7NJa+Et+WnWE/vUJwm2XCcVd8/D8OnW2rTg/ZjNT2xZDso/Nwf/iZ7kzuYWdVRlmTyzJSAI5MQ8sv43spjxoc9FxX92MT4DFoe6xuXTs+1E4O+x+WTOnMq4F/6FcjqH76qdWWgxa6C8HfS8Hcg9p41ZEr3P9Aw26opIhbYtz8IUx0rzZiZNj8oA7BnzsLnnYlM+io1MVvcsRMcghwx6iPANttC8ZUwupvC68WCEg1SEqmhahf86XTx7xQSKJxYnXxiKmXAMfGJvS5Bv0MwlH5vOn/9fwCQ6pZQ1/SWFICPxcLjd3PrDn9PV1kpOYTGGbpDX7kXv9JLTB+FN2WyBPmiQlW+W4dMj96dR8XZ+xrsc6x5Hp5EfFV3PkqpZ9CuidEZGnEiQgW0v5a7ng657+dN1f0E/avqmtagTQn/6m7dScGUNhx6wNolLxEWeGbxk34Ktqx1Px0kUkKnVodlifaeUgrGzSulsy6fjwEl0Ww9ZbfX4y3RsXbFt0mw2GVVWtPQWtS/D9jx2bQ965jhyL/p03DKcVdkYvm5SdMkaEOY7Kbk1sS8pkLh59MVssi+YKxrzgVi/k5KmClbnz6UbbyDVUKLvOqJIR0UFNb/9DQAHLov2L1dWH+fc22DSKvh6hGWTvW/+/sMN0bwlIO3zs4GagfXjGmk5OM5hfZnAJhvslErU5yT2tegvOWePIu+CWgpWWUcrtHpBqdyxlT9EWW4KASlscRL49QFl1+KbQYYmX7HXsOWEA58kLN9qIpvolIHcTozwlr4PMiZSoUUDLbiyAXtJBvbijJBptOaK9TcdKgpu+EDMNvPKeqK6dnjD5koef3fM97clrz6QWwkoaB0fkyoEQO9Onj8s3RZmSimM4NCVhZscYs0Azc8hsE2ROb2UzMbSqHaslEJ5etCCIf63+YrpANxTS7Dl9H2y01/NW9EHJoEGWqadvBW1KZ9XM6WIa74wh+u+Mo/SmuRagX4zAM0bgN3hIKcwIDQrTZGzuIq882v7ZLYdrEgfjx8E0qh5c9gUF/nsXOydSY6RxKQ1Ix9W/kfUJnVWrL9fzBOK8xFGmoTudx3Bnu2KmRVG9iH9soawuHSlXsjVngVUH4uMHmg9IRpzVhUrbpuCUpDdXk9u68RAoK3zrd1VzFZ0VQ35ob/rmiOihpqeicJHrv0R8nP/gJaZeH5h6NEC7q9N+T7ToR2eVVNAQ0l/IneG78vpDgsoLpsvJlVAuojXDkr1YGTUOKshme127NgicsQmmgXG8XmL2Rzn2WdH+3vai0qtjxshiPCWkPQOEjHte1AmgambTWqZp07xmjChLgGzwu54sx6LW3KOyiFjajHKaaPgamszi2TkrahFy3QEbNgt8O60iPQY5/HmrqgJl3thrNlXWa6bT5w7jtGFmfzH6kbLMpTNostP48y36IPB4BgDaXdJtBCp9qOpEGua0ccCElpg6KbfscfY812UfXoWZZ+ehT2O6ZwVfZ+MpkbR7beH/s5btYqyu2PzFCm7ncIbbwSbLfy+47Dh6NP0+Lvw6R7+dfiRmP2jywsoODqXwqNzsHeVWS42GSkIb4Mx17YOXhDxEpMk6Y6ktG5MYOV/92Zsu7fzkq8WAGccE+8YTO20tC2R30Z8MiYXUfH5eVTcPTfp5NFMyegcCi2CFKSX2Gfel3xx6WNwrpk5L5x8+ZUJSd59OgOWaHb68pGo6mhNQ0GVlemige/QBiCgxU0UYCeq7GRjg3lRxHy8xWNJ1Eaio/6Gy/o3OvErsOU5KehdyDAVEy8wit80jxg9qYh5K+s4+wMTKGrfHrHHJLz1Ok91xUY0TcbPYoS3gfOHjyyktrCfvm1BVt1wZejvy6rfs9Sep6V7juNTfrZnMpN9oyyv4vM56IubSLw5pLnkzM4U+1/byNa8idlkIpL6vA2wwFMsu4Gi6IZJtL+4n8xZZWjmIB99rFdaNW9Ai82gye6n1mdj0jmJTWmUUhS9byKG30jZjyjuUaYdmbPL8B3dStvj25MfHCRncRXKrqGcNjKmWCdZ/tR5DXzqvASCpk3h0VMwQ+snrvp6vrjgNs7W7P1etbF61irCDzNWeEuj2WQf/RoTNTkdHa/eg0ML1D2ewKWUSul7yLu4jtand5M1qzTKLzWdFH/odtD9KKeTog9/OO73V3b35yn55CeSBqZw+zr4094fo6HhLsyL+UgNTaEZdvDH96tRTidGT6DNKpf1fRdVp+LHkzrujHa6uxKvSMfzrbUiu6CQSz55F1teX8t9TaX0vnB7qv6JpufWcLAlzoHJseUOkllTOhisIDt9JXLdJY1VqnzgW7T8zy9wT57E7tZ7wjssBZL0XZdVP4EfJ4qyZyJmEdj6sK43f0nb7CXM/Nw3+9Z3JvSbT+xTa0mCZxVpAaEiRqVX8PHk0lI+fN640LecX57F/q0nQsdUjs2PioYbKtNUf5tDY/bZgQXVralUtDO58Jb89aenYQ60nY2qr+aGukCgjhJ3/xaVUsLUviq+eh9t/4IcMljga2C9RfoLIHbM8cfmcYvYa31pk1av4PgJ6nfsYF91NTPWvQVfi011AGB4EkRNHQGI5u1UMsDJaEqXSGLCljGpiJLbp5E1K8X0Bmki2UJlb70fyfLwk9wuZl4aq72yPC/OBMteXJxy92l+D/mX1OMo6ltHpxw2cpZUkz2vot/vVdk0dre/S0cwn0PnkX+SbueOdWXj8Q/AXlc5bNhyw+HmVYaGfWH/w3QnvFaMiU76yjYMnX8c+C1b2nbwrzbfgAOJ5Cyppuq+BRRc3r/Is6mgZWVR+tnPUnLnnWjOxJP8VCIKTvfbySwqwJ7tZtXn7old2XaYV9ljy6j6XnhgrP7xjyyvY3ekRyDJ6jhAbrZO7bgNyQ9OlirAxPgFSzj79k/Q4gz73Nj7+R07BjGM/FAykIAlg4WySI/SXxzl5ZR/8Qvkr1oVtd0yF1o6pbfq2VCzMPXjU7VI8HaQoR/AXtjPHJKW105SFysSaVMi95lzhzm1qEWY+ZfVk13owuGysepTM+KOs4miTSY2ZwyOtUbfJ/U3L6qN+u2gH5G5rZ5Tf9pZ5Cm6nxJ35+AKbhAj1GfOnWuqU1zfG9NxqQUsiUTz2jm5N6BZPr4joIWe8/obrHrscSbYumHmjREHR5xozkk7whDNWyIG2edtUMwmT6E/Tl80b3rSTkiF/mtXpoWcftySragI9/RpsCusPUtV86acNtwTY8Pg97cuqWIrcKGj8+S+n5Flz+PCSy+k891/Dt4F+0nZpy+h9c9/wV5eTfb8OTQfDAeKSKfZZKyiuo+FJRoH0Gn1NvPOyU04sqwy6fSdvmh7hgNuFB/8z5+j+3XsDgcdLdE54D61YjyPP/dKwjKyliyh5jf/C5pGxsw4uR7T9M1M2PoQZdd8lI1HrCciUV1GP4Jr2PvgL2g6sM/XGpEMx/scpG9uRe0Knm56mnEF46jJrYk9IN0CelYJkKLGNuY1xBeq89z5CYvKdFiY5SVUvCX7RgbyXKLLNqfXcWc5+MDXFuDz6jgTmKYnFL0StuFg3S/+fuJqEnuXX7l0MvteeiH0e1HBVJransUwDC655JKk5aV8oT6fn1wQzTlnNF0bA20ve2nqwYMisWUmWSyMK7zFppXpay9jd2Wz869FZBR109XiZjy7AkUDRXd+HuzhxUPltGF0j2yNWy8ivJ1KYqJNnurrp3qcedZsfWJfhLeKvMSrf7GXNEtvfevFFGDLy4vdaIFhWoFRmiJj6lSKbr+djpdfpvRz8XPnDZSCqxs4/th2XHW5uBsKgIAfQJv3GKWXrqTtBHTvSu81BzoF09xuCq4K29JHvqqYGFMDMpscPDPj8GLCMJyQnkI0zYYWxz+sKj+DooY8Wra2Uj4mz3LCpJQic86cwa5mxPXi79P8nvCPPmreADKcNq6YUcX/vbWfGxZYTNjjYVqYyrvssj5fe0QQnLgbng6UM7DS7RrMACkpoOyD8/1+c/E3uWLcFUwvmW7Zh6Xd1a8v5fXBIkElsbJw2Vzct/A+HtnyCDdOvjHhsZYXi7NIktFYQtf6o9jyXQlD68eO8xFFWyWFt2lJfVHNqQIiKbrtNg7ffz8AhTfeQFS2lEV3Qs4xaLw+YfmpUL1yKnfkT6StrY3a2tr+FzTQRYIUGqqzKpuiGybhO9ZN1pzULbLKv/Jljv6/H5F/zdVoOdF+l+ZXkGW4rW2I+uCbHA+l2cBQdDVbCZAmq6qL6zn+h22AdWyCkYQIbwlJPDAMeNgYFM1b+ovsL9+/ZjpfeOwd5tQWcs6ExJF9zB11WixKY6JJxTnMa22aWPrpT8GnP5WGisQna1YZmdOKUY5AJ3bNV77JuiefYOLipbgys9AuW0n3v69L6zXTrlBOJL2l9UJ9PSGR83PvOx9Z2rK0kkKwgavvnMGhHa2U1fd/kt6XsPepUFOYyVsW27WIVeb+aN4Avn9tI1+4eCLF2f2vc9k9X+r3ucObQHvpfOkHuGfeSPbixoT5sE5JjQZJ8+awOVhYmcCUMc3SW59kt5gNFr6oCfaZuWLcFVwx7orULp4sYEmQwivH0T2lGGdtbh/cCKLLrszvXzL5RM+yYPW1+I8fQ+/sovhjd3Dw6+GeRE1aCaNSyFuXCgqKi4spLrb2f0+V7LOq6dkZkDCz5pWndpLJbDIVMibFpmhIRsF115G/ejVKKTwH2qN3ml55luGmzVyAoVAmzVviDyFewBLTYkbkYab2mTmrDL3Hj+H1k7UgOq/pSEOEt0QE33u6uunE2iVrMqeVJD0m4UVS3Jc1t5yO1w4BkL24iuMPb+nbdS24YmY1F02twO1IvrpirlmkMJc4jUDqtPgMPICTQGS3UPl98XcaDHk74vmMmjSVUZNSyOUyTEmr2eQgEopyNhxNwYYRNrtG1fiCPp9XeN14Wp/cRcbUEhwlA4uYFsYAw6AqFWFwAO+1z4KbOUBCdn/Cew9/eifheuseOp/7GqN//N6Qp80YLM2bFbYCF/7jgeA8rrq8JEf3kYFIb4keQT/eT+J3mkTzFrwP5YgfuCvBhUN/zq4p4JKp/ZxcJ8rz5nBQcuedcXamfgnjFLV79/gC8i8bg/+kh5wl/fAtLxxc7VKorSRLMRRvkdSseUuWYNEK3U9cUcY85w6mKDkdEOEtJdIkvvXRbNJenEHexen7+BJ9FnkX1KKcNrQsB5nTS1IS3lIZuFMR3AJlJf7dVyx9f4ENGQ6WX1ATNbA4qrJxVGXj3d9Odh8Sxp4SRoJyNs2Th7SR0Oetd6do3sKkT5uQOb2UzOkDz6PT+10C+Fv3ph6afgAJpfvMkITLH3qGWnADBs3nzYriGydz7KHNaLkucpakeZzoSxvqizl5mt+RWYs20NL9ujfiV/hdPvLhBf1qXz+jG8Pop5VAH65ny84Gjyfu/nQ9dqUU2Qsq+19AyXhY/GnY/Bc476vpqZQFSdNgxWveWqzPW1zimJD27DoEEyPN3OMHwTmdEOEtEWm3LzP/jr1A7vLRnPzHHjKml1C0esLAr5HiPi3TQf4l9X2/XpqIHY9U5I+0YSt0kz0vekVPKUXpRxvxHevCXpzEVOM06AzS36zDJY6UaWxvnjeba9oQ12QISXWAHUKK3j+R3Tfdg+/wu+CPP1kKENlnnMFC+SAxNDndEpPWSIpJcJRnUfbJWckPHGzMTTuR2WQ/UO4EC67mRZEBLJLYClwc3LUz8srhv/oxzv473TyKhyv625H15ZJ2e0LhbVix/CuBf0OKdTtJh9mkeXOUF+VpMF+Lh4xwCRjsF29lC567vIbKryzon+BGoM6uMQGTDld9HvaSsDCSblOPdD4fc1nRjya16+ScG44amLeiNtacyaGx9Prx1te3KRwlmcPvYx+E+vQ5amOy8iJ6kcE0m0xnrXPKJuHIWolm67utv3DqsBe48Wz5M/qJpph9r3f4ojdErOIOt89YSB9FN00OdAZ2jfxVY4a6OulhAAFLEkeH7PuH4CjJxBUMnpVztilHY4oBS5KhZdkpubPRlHh5YNNRPd5DTPUR9ClvbYrRs08Vka4fw2FWb26iqWre+nGpguWzozck8Hk7nRDN2zAkXsLgVCm+aTI9TSdx1ebia/XQ/tJ+3GPz+588OE77T6vwZvodFcAkxcvkLK1Gc9rQMu24JxbCH6P33/StRbizHAOq5ylnhPU96UzSHUMay8orn4Lt2PG0lTciGcEDW7Z2lANekz+wFvFtn0qzyTOFYaJ4y5hQSPm/zUFz29AyR1h/ngbiyW6Zefl0tp4AoLC9y7S3bxTfPBm9zYMt1zRnSJN/g6MqB5vLPM8JlKX1049xoJnMLG+ln12klpue3JapUnTDJFp+uREImPcOOSoQYKVjbSCOgqMzTrAVzdQGEvi82Xxdltvdo8vgwNHIS0fUY+SOccmQEW4AzE0xkXSIUzT4KYcN97gClMOGoziDgsvGkjF5YFGPBpt0JGTWnDZyllaTNafcUrBMh+B2GvcF/SaRED+kzyvB96anJZzpyMNRFXbWzjTnZRsmk/OEBOt4YcG3sKvowVzZIiYCIryd1tgL3aeX4DYAnzcVXOy96ktfZ9y8hUzaf5Tcbo/lsalfQsUKbnGO6xeGgdI0xsyeF/jprAmVlV+aeoCj3nDvB9B5hqD/XH/7sT6MCeeff37o7+XLlwOBtD9aloPshZU4krlfpBl3QwHFt06h+NYpIa3pKSXm0SnyLw1rxQt2n28+IHhY6maT7h7rxdaEEWdP4wmbjHD9YM4ldSy4fAwTFvYtGpJynF6POysra9DKHnbmi0NFmp+DfZCFlmHoFhMiZ1nABMhekkHHSNPAponqH/8YR81oMmbMoOTjHxvq6qSEvTLcz2bOnAEGlDp2cnPJrdEHRmreRprKekQwjD/uMwlT07YXBISsktG1rPz0F6htPhlx7Cn+DvrYRFZ+5gu4b13C03P2ouPHr/yc/8HUNUc5S6sp+8ws3kd7KDl3X6rQG3XaXpoR5WKSjGnTpnHhhRdy3nnnMW9eQADNmlVGxZfmkb/y1JvyKqVwjysILNoPh7mTAmUPz3c1w4FnX6y/qOpLwJJ4qQJsCSzVhsOzGCROL2niFDH3kjpmrqjB1sdIV8quUfSBibgnFlJ8y5RBql36iewMLr30UgCys7OZO3du2q6R0Ib89P3+kpLuW3/wtvmDewEzQ/ruottU7ooayj45k7I7Z57WnXoi3OMbGPPUU9SueRDNtPhiDNPJ+eif/YyuRQup/N53cVSGI685tS4gMrdbxETgzHy9g8twXpkZ4fTp0ZqO1bITmOid4n4u5dsIHqhpNq4/63aOFezndzO/SvfqDRRV9i3VhqMkE2/ywywpXD2eohsmUfph62Tsym4dvMVmszFv3jwWLVqEwxFeNBoWgtMwwPIpGLHP0rt3behv35H3KL5qKYWObwE+bAWmdh3PpdFkZXGmBCwRn7cUyDUyOUB6/GMyJhcPexPGRMyaNYv6+nqys7OjOq3BpX8f4KyLV9G0/k0App67Ik1VOcWdQZovN7eukNcji0/D/UQK3oPp8zbQkpRSOMoDAktZfR6bXw3Y49tPM414MkbagOYaM4aTH/gAecuWxexTeDCIXTG35aQp2a4QRoS3YYGW7cBRkYX3YAcZ04oTByUZAZ96gbuA3170WzYf28yK2jSN0ymiHLaECaoLr5/A0Z+8DUDRByaeqmqdlhToOXSYtvmbt9K94SG0nAryMx4k++Nvobb/DXd+LUZBJQfvfS3i6Hiat2ihUMvMQO8MmNS7Jw8D/79BQoS3FJjjG8MeWzMeu5/rrr9uqKsz5BQUpN+mOuG0oJ8DUM3URs67/eO0tRxl1kWr+lfIaU66x/ZhNb1LUJlJiyvZs7GF44c6WX7TpFNXp+HMsHp5iQhX1Cy8uadPo+Dqq9EyTq3PyRmBCG+DRl/WU5RSlHxkOp69bbhqEuc0s2WPjEWMiUUTmViUHuHIbMUzkDHOOTqH0jsa0T1+XPVpTsxuZiR/XilEQHUajhjhDQy8O58FoHD1AXC4YOKlaIDhi44mbC8rxburmaLbPhh9KZPwNvq/fsiJP/2N7KVnYS8euYqSZIjwlgIuHKzuWUjOJfUUjBmV/AQhrThKMvDsaQNAy0k9ipNSimnp0rgNFYOtJUlD8QnndMN05VfTFBd95AzO8XaaoEwGU3UPPzxENTn9GY553k4X8i6pp3tLwEok/9Lk+VY1pw33mHzLfeX33cehr3wF5XRS8ok701nN9DFC2pJSCueokSEADy8sTFCNaAsXI9nkwGQOWXHfV3HVlWIviY4ybPZ5c42tp+Jrg5eQfLggwluKaGi4HP0MtS8kJ0FfXnDNeI7851ugGxTfOMRakmEqjPSXtJjQGZZ/9l5g4OULpwRXbXgVP2Gi3qGmuCH0p0014zdO39VV4czAUZJJyUen42/1kDGpcEBl5V9zNe5JE7GXlZ1yzUNv8JSkDKLsNjLEwtMcq2HfsHJPiP+2zL5shlIxghtgEVn4zHCDEOGtL0ivMCQ4ijOo+MI80A20jCFusqdaFhnsfigtslt8n7dT/bgic8tkL6xMcrQQiaMsi/xL6+ne0Uru8tHJTxgqJl0GEy6Bva9RcHEdhx8D9GDyZmHwkPFvUHGNTmwCmSpKKTKmTk1LWWa0zNgw/oXvm8CJx3fgHl+Aq3aQTQuF4UkKA71KkMMtJXTrzXaHaU54hqwXi/AmJOcUfAzJIt1prmGsCRhUBvfhp6X0U2U2mUJZeStqA528XZF9VnUaL35mkL2oiuxFVckPHEqUgtW/A8PAoRQVDT3oPX4cfcgPJfQdZ02EQG87U/vjMxtbdjbFH/8Yx9c8RPFHPgxA5tQSMqYUD5tASDEWmcOkXmcUlo/cIipkGhaEHC4ndUdOsLs4lzFHTpwxOT4HJLwppa4G7gUmAnMNw3gjYt/dwK0EYjnfaRjG0/25htfrZd++fXR3dw+kqv3GtzIctrZVO4K2qWVI6uF2u6murj6FER4Fa0Z2tMkYTrNk1Vqmg4Irxw11NYRTQXBSZstzIaLE4GPLyaH6xz+i7em/UfCBDwx1dYQhouSOOyj+6EejhLW+Cm4jxOVNSCPO9viWMFULjyUvIF6qAJuNiQdbGH+oBc2AM0X1NlDN27vAFcB/R25USk0CVgOTgUrg70qpBsMw/LFFJGbfvn3k5ORQW1s7JCs7nn1tob9thW5smadeeDIMg5aWFvbt20ddXd0pv/6pWLkaMZ35aSa7paP8wXx3SoXLLygfvKTwgiAkJ+ecc8g555yhroYwxAx8LjZ4g8ZImUqc1li0j5zDczjIT0K/DaBgfBu5BUdw5fpijo8h3kQjmN9T6919hmhaB6RfNAxjk2EYWyx2XQY8ZBhGj2EYu4DtQL8yOnd3d1NUVDQ8VPJD1CsopSgqKjql2secc4MmMjZFzrLBNz8bMcLbqWYYNPtkZOQkWNAY4Hu98q7ZjJ1dyvkfnExmbuqRRgVBEIRhyiCO9xlnWN7OYUEK83NlYTZpc+qpCW4Qd5JoThVgDnRyujJYPm9VwKsRv/cFt8WglLoduB2grKyM559/Pmp/Xl4e7e3tg1PLFIiMndTd3Y2uD435Zu/1zc9n0LBB9nSFJ9tg+xsvD/rl3jkS/QGfsvvsI/k7FcURndBg19PWDXVxjML6cu329nbL4/26Py33UDIZTuyC0qkKIpZz1q5di3eACjPXWNjf3sz+5zcNrCBhxBKv/Q4Hivcp8k9hnyCMPIZz+z1VjI0Yx1pbW3kvjc/j/ROd/HaTB5uChdktQHhBcdu2bbR6tqbtWoNFyQFF3jDuRxK1YUcH1ES835deegndGf3OU8FcfuT57727kU5Pc8w5Bdt3ELms++JLL+F3nf7pHZIKb0qpvwPlFru+aBjGH+OdZrHNUmw2DOOnwE8BZs+ebSxbtixq/6ZNm8jJGboX4WkNm0263W5sWUPnc+Z2u5kxY8aQXX8w8b13GNaFXCYxt4PhQpvaS+vWptDvwa6nv83DwefXWu7ry7Wff/750PEbH3o2tN1ut7Ns2VkDqWKwMuE/933+hdDfc+fOxVEigSSEgRHZfocbJ9p20L77QOj3cK2nMHQM5/Z7qtj3VHhcyMvLY9yy6Wkre6lhsLLpOJX5bqoLMtn3fPha48aNGxGRh4+3bKNj36HQ7+HWXhK1YV9zF4deCM/fFi9ehJbpiHrnqWAuP/L8ydMnkzVvSsw5Xd79NEX8Xrx4CSorv0/XHYkk1S8ahrHcMIwpFv/iCW4Q0LRFZrOuBg7EOXZE8Me//gl7tpPNmzdHbX/rrbdQSvH009HxWGw2G42NjUyZMoWrr76azs5OALKzsxFiGTlWk0Nrx5gxrRhXQwElH03PwDccrJEFYSTjjAiPrpwSOkUQkpLmAV8pxdy6QqoLLBYKZYwbfPr9jBOf2LPpjxiGjnf/m9hyrftWc5LuMyXa5GDd5RPAaqWUSylVB4wDXhuka50SHn7iURYtWMRDDz0UtX3NmjUsXryYNWvWRG3PyMhg/fr1vPvuuzidTv7rv/7rVFZ3xGGI05s1pr4te3EVJbdMSVtOIBnYBGFgZEwpImtuOY7qbEpuH5z8WoIg9BOZWpx6UlgVNgDsiZO6e7b8hfYnP0X36/8dPzCCOW3JGbIiPdBUAZcD/wmUAH9RSq03DGOFYRgblVK/B94DfMAd/Yk0aab2838ZaBFxafrWxXH3tXe088rricd/vgAAKU5JREFUr/L3p57h8tVXcu+99wIBgePRRx/lmWeeYcmSJXR3d+N2u2POX7JkCRs2bBisqgunklPdL5g6onQH7lGDfUMycAqnOUopCq6Q9BSCIAyA00nmSPleUjjQ2wWAo9La9NUcsOT0epDxGWi0yccMw6g2DMNlGEaZYRgrIvbdbxjGGMMwxhuG8deBV3XoeOLpP3P+suU0jGugsLCQdevWAQGnzLq6OsaMGcOyZct48sknY871+Xz89a9/ZepUWZEV0kAa8rJNPyds0Tzj/NEJjhQEQRCENHMqLW1Gylz+DFvoDCwcJ345Nb/5X7KXLqXygW9hy8+3PkgzCW9niNnkYEWbPK14+I+P8vFbPwrA6tWrWbNmDTNnzmTNmjWsXr06tP03v/kNV1xxBQBdXV00NjYCAc3brbfeOiR1HymcYf1WysQo2tIwEM25tA7DMLA5tChBblA4zZKAC4IgCIIQgXmiksKw7zCS+wdnzplD5pw5iS9tThUgZpPDj0SmjYNFy/EWnn/pX7y3ZRPq7k/g1/0opfjWt77FH/7wB5544gnuv//+UCLttrY2cnJyQj5vQmqMGJe3Ie4XVBqEIVeGnSXXNqShNtZkNpbQuf4ojqps7EWxZsSCIAiCIJyuJJ+naKj0CFpmzdtQT9JOEWeGfnEA/N9f/sj7rrqOba9uZMd729i7dy91dXV8/etfZ/r06ezdu5empiZ2797NlVdeyeOPPz7UVR6hiPRmfbm+r2gNNQVXj6fkQ9Mo+dC0M2YVTBAEQUiRkTLcn0JOq6Bt6fR5S4bNJMacIXMOEd6S8Ps/PsplKy6J2nbllVfy6quvcvnll8dsf/DBBxOW19nZSXV1dejf97///bTXWRhETnnAEtPvEWCGqGwKV10emoRNFwRBEEycRmKKAP2cF6VnLqNiNG9nBiPKbHIoeOaR2CAkd955J3feeWfM9pUrV7Jy5UogkI3eCl3X01tB4cziDFlVEgRBEE5TTictkxBDvGlKzqG5tJUHsoblHlgIUem1+8kZajYpwpswLJC+PA4xqQKGqB6CIAiCIAhmYuYl1hOV0s3vx1B+lO6geMcq4N8Hfu2YVAFnBiK8CcOCKVV5ob9tw9k0UMwmBUEQBKH/yGLt6U2caYrdk0vV2x8P/TaKxwEvBX6UTOjfpcyatzNkhVuEN2FYMKowk29cPpXnthzhY2ePHerqDF/OkI5JEARBEISRQD/nJSXjYdydcHQLrPhG/8qIyet2ZsyRRHgThg3XzxvN9fOGd9LoU654MweblBBDgiAIgiCcDpz/tYGdf4YGLJGpoCD0hVOu+TJLb2fGqpIgCIJwmnIKndztpZmn7FpnLOZpSfB3wZXjkkgZA5/PKKfTtOHMmCOJ8CYIw5k4naIgCIIgCLEU3TwZW6GbzNlluMfkD3V1TntipyWBLVlzyqn44nwyS3YO2rVt2dnkVHcBkFfXYVmb0xER3lIgoyafOSsWMXP+LGbOnMnLL78ctf8HP/gBbreb1tbWIaqhcMoY4n5BScASQRAEYSQzyIq3jPGFVHxuDoVXNQzuhQRrIqYptiwHODOSHzgAqhYdZ8wlh6mYe+bMwUV4S4EMdwavP/0S6159g29+85vcfffdUfvXrFnDnDlzeOyxx4aohsJpi0SbFARBEITTGi1jBIegSDItcUyeNYjX1lAKnNn+gMXkGWI2ObJay715yY/pd9mpSewnT56koKAg9HvHjh20t7fzne98h2984xvcdNNNg1RBYVgw5BFLTvH1BUEQBCGdSKqAGHLPHkXHa4cwevzkXz7CI26b5inZZ9Vx4rFXUFk1psPSMKE5Q6O4jSzhbYjo6u5izopF9Hh7OHj4EM8++2xo35o1a7juuutYsmQJW7Zs4ciRI5SWlg5hbYXTmjNkVUkQBEE4fciYXETXxhYAMmeXDXFthh9apoOKu+bga/XgrMga6uoMCGWapyi7Btu+AY3/PRgXS/z7NOXMFFn7SK/Z5MZ17/DUU09xww03YASjJT300EOsXr0aTdO44ooreOSRR4a4tsLgcoo7hphUAWdGxyQIgiCcPuSvGktmYwnZCyvJXlAx1NUZlmiZjhEvuMVD2SzmLmmZzpyZc6KRpXlL0bRxMFmwYAHNzc0cPXqUQ4cOsW3bNs477zwAPB4P9fX13HHHHUNcS2GwcFSe2o7VvIJ1hvZTgiAIwgjGluOkcPWEoa6GMBikYAarNKvD0mE2eWZOikTz1kc2b96M3++nqKiINWvWcO+999LU1ERTUxMHDhxg//797N69e6irKQwSrtG5ZJ9VhaMii+Lbpp76CpyhHZUgCIIgCCMTNWi5tM/MOdHI0rwNEb0+b8qmMBT8+te/xmaz8dBDD/HXv/416tjLL7+chx56iLvuumuIaisMNvkX1Z/a610+lvYX9pO9qFLMJgVBEARBGD6kMC0ZtLgiZ+iCtghvKdC1+wQAtnwXtuxwNvddu3bFHPv973//VFVLOEPInldB9jzxERAEQRAEYZiRitmkhebNSIvW7MwU3sRsUhAEQRAEQRCEQcFa8yapAvrLmXnXgiAIgiAIgiAMiFTS9g2ay8cZajYpwpsgCIIgCIIgCIOCZcCSM1PuSgsivAmCIAiCIAiC0HdSUL3lTbB0ehs4YjYpCIIgCIIgCIKQPpy5seKGkoAl/UaEN0EQBEEQBEEQThk2d+dQV2HEIqkCktByvIULVq8E4HDzEWx2GyUlJQC89tprOJ3ORKcLgiAIgiAIwmlK/+wfbRndA7/0GRqwRIS3JBQVFPH60y8B8PUff5vcwjw++9nPDnGtBEEQBEEQBGHkofe0p6cgZ1Z6yhlhjCjhbeqvpw5a2e/c+M6glS0IgiAIgiAIZyYWGrJ0aM3sLlj5n/DGL2DBxwZe3ghhRAlvgiAIgiAIgiCMZNIRajLIzBsC/84gJGCJIAiCIAiCIAh9p79ymJFGAe4MY0Rp3sS0URAEQRAEQRCGB1qWI/lBZ2hgkcFiRAlvgiAIgiAIgiAMDzSnjaL3T6Rj3RGyF1WmeJZKq+XkmYYIb4IgCIIgCIIg9IuMKcVkTCke6mqcMYjw1ge+8oV7sGVLXjdBEARBEARBEE49ErCkL4iKVxAEQRAEQRBSx+aK2WSUThqCipweiPAmCIIgCIIgCMLg0LDCtMGAjPyhqMlpgQhvgiAIgiAIgiAMDnNujd0m1mz9RoQ3QRAEQRAEQRAGh7xq/MebQj/9zVuHri6nASK8CYIgCIIgCIIwaHS98XP09iP4Tx6gZ8MaSdI9ACTapCAIgiAIgiAIg4bRcYSOv9+D2EsOHNG8pYBrVC43f+K20G+fz0dJSQmXXHJJaNtTTz3F3LlzmTBhAo2NjVx77bXs2bMHgJtuuonMzEza2tpCx3/iE59AKUVzc/OpuxFBEARBEARBGBKMOH8LfUGEtxTIysxi45ZNdPt6AHjmmWeoqqoK7X/33Xf5+Mc/zq9//Ws2b97M+vXred/73kdTU1PomLFjx/LHP/4RAF3Xee6556LKEARBEARBEARBSMSAzCaVUt8BLgU8wA7gZsMwTgT33Q3cCviBOw3DeHpgVYVNEyYOtIi4TNy8yXK7vSQDgAvOX8Ff//E0V111FWvWrOG6667jhRdeAOCBBx7gC1/4AhMnhuu3cuXKqHKuu+46Hn74Yd7//vfz/PPPs2jRIv76178O0t0IgiAIgiAIwjBFfN76zUA1b88AUwzDmAZsBe4GUEpNAlYDk4ELgB8rpWwDvNaQoLnsoOD6m97PQw89RHd3Nxs2bGDevHmhYzZu3MjMmTMTljNu3DiOHj3K8ePHWbNmDatXrx7sqguCIAiCIAiCcBoxIOHNMIy/GYbhC/58FagO/n0Z8JBhGD2GYewCtgNzB3KtoWbatGk0NTWxZs0aLrroorjHtbS00NjYSENDA9/97nej9l1xxRU89NBDrF27liVLlgx2lQVBEARBEARh+CGat36TzmiTtwAPB/+uIiDM9bIvuC0GpdTtwO0AZWVlPP/881H78/LyQoE+ql9/LY3VjSYymEi8/StWrOAzn/kMTz75JMeOHcPn89HW1kZDQwMvv/wy9fX1OJ1OXnjhBX74wx/S0tJCW1sbXq+Xrq4uLrnkEpYsWcL1119PR0cHhmHQ3t6Oy+VKqY7d3d0xz0cQUqG9vV3ajjBikfYrjGSk/QojnXS04TLT7w0b3sEjAly/SCq8KaX+DpRb7PqiYRh/DB7zRcAH/K73NIvjLd+QYRg/BX4KMHv2bGPZsmVR+zdt2kROTk6yag46OTk5fOQjH6G0tJT58+fz/PPPY7fbycnJ4Ytf/CKXX345y5YtC/m9+f1+XC4XOTk5OBwOMjIymDRpEt/4xjdYvnw5OTk5KKXIzs5O+f7cbjczZswYzNsUTlOef/55zN+WIIwUpP0KIxlpv8JIJx1t2BxZYurUKeTId9EvkgpvhmEsT7RfKXUjcAlwrmGEROh9wKiIw6qBA/2t5HChurqaT3ziEzHbp06dyn/8x39www030NbWRlFREaNHj+a+++6LOfZDH/rQqaiqIAiCIAiCIAinGQONNnkBcBew1DCMzohdTwAPKqW+D1QC44DBs3kcZA4ePBizbdmyZVGrEBdffDEXX3yx5fm/+tWvLLdHphIQBEEQBEEQhDMCMZnsNwP1eft/gAt4RikF8KphGB82DGOjUur3wHsEzCnvMAzDP8BrCYIgCIIgCIIgnLEMSHgzDGNsgn33A/cPpHxBEARBEARBEAQhwEDzvAmCIAiCIAiCIAinABHeBEEQBEEQBEE4dYjLW78R4U0QBEEQBEEQBGEEIMKbIAiCIAiCIAjCCECEtxR57LHHUEqxefNmIBDmXynFPffcEzqmubkZh8PBxz72MQBWrFhBY2Nj6F9lZSXz5s0D4KabbqKqqoqenp7QubW1taf2pgRBEARBEAThlCN2k/1FhLcUWbNmDYsXL+ahhx4Kbauvr+fPf/5z6PcjjzzC5MmTQ7+ffvpp1q9fz/r163nppZfIzc3l61//emi/zWbjF7/4xam5AUEQBEEQBEEQRjQDzfN2SvnRh58dtLLv+K9z4u5rb2/npZde4rnnnmPlypXce++9AGRkZDBx4kTeeOMNZs+ezcMPP8w111zDgQMHYsr4xCc+wUUXXcR5550X2vbJT36SH/zgB9x2221pvx9BEARBEARBGJZIku5+I5q3FPjzn//MBRdcQENDA4WFhaxbty60b/Xq1Tz00EPs27cPm81GZWVlzPmPPfYYb7zxBt/85jejto8ePZrFixfzm9/8ZtDvQRAEQRAEQRCEkY0Ibynw6KOPsnr1aiAgrK1Zsya074ILLuCZZ55hzZo1XHvttTHn7t+/nzvvvJMHH3wQl8sVs/8LX/gC3/nOd9B1ffBuQBAEQRAEQRCGC6J56zcjymwykWnjYNHS0sK//vUvNm/ejFIKv9+PUoqPfvSjADidTmbNmsX3vvc9Nm7cyJ/+9KfQuYZhcOONN/L5z3+eSZMmWZY/duxYGhsb+f3vf39K7kcQBEEQBEEQhJHJiBLehoJHH32U6667LiqwyNKlS9m3b1/o92c+8xmWLl1KUVFR1Lnf/e53cbvd3HHHHQmv8cUvfpGLL744vRUXBEEQBEEQhGGIIZq3fiPCWxLWrFnDnXfeGbXtyiuv5Bvf+Ebo9+TJk6OiTPbypS99ierqahobG0PbCgoKeO6556KOmzx5MjNnzozypRMEQRAEQRAEQYhEhLckPP/887S1tUVtu/POO2MEul5uuukmbrrpJoBQDjcrfvWrX0X9/r//+78B1VMQBEEQBEEQRgSiees3ErBEEARBEARBEARhBCDCmyAIgiAIgiAIpw5RvPUbEd4EQRAEQRAEQRBGACK8CYIgCIIgCIJw6hCft34jwpsgCIIgCIIgCMIIQIQ3QRAEQRAEQRBOIaJ56y8ivKVARUUFAE1NTWRkZNDY2Mj06dNZuHAhW7ZsAQIpBZRS/M///E/ovLfeegulFN/97neHpN6CIAiCIAiCIJw+iPDWR8aMGcP69et5++23ufHGG6OSdU+dOpWHH3449Puhhx5i+vTpQ1FNQRAEQRAEQRBOM0ZUku7vXXvJoJX9mYf/3OdzTp48SUFBQej36NGjOXnyJIcPH6a0tJSnnnqKiy66KJ3VFARBEARBEIQRTdaiRUNdhRHLiBLehgM7duygsbGRtrY2Ojs7Wbt2bdT+q666ikceeYQZM2Ywc+ZMXC7XENVUEARBEARBEIYftpycoa7CiEXMJvtIr9nkjh07+Pd//3duv/32qP3XXHMNjzzyCGvWrOG6664boloKgiAIgiAIwvBDy84e6iqMaEaU5q0/po2DycqVK7n55pujtpWXl+NwOHjmmWf4j//4D15++eUhqp0gCIIgCIIgCKcTI0p4G268+OKLjBkzJmb7V7/6VY4cOYLNZhuCWgmCIAiCIAiCcDoiwlsf6fV5MwwDp9PJz3/+85hjFi5cOAQ1EwRBEARBEAThdEaEtxQ4ePAgALW1tXR1dVkes2zZMpYtWxaz/d577x3EmgmCIAiCIAiCcKYgAUsEQRAEQRAEQRBGACK8CYIgCIIgCIIgjABEeBMEQRAEQRAE4dSg1FDXYEQjwpsgCIIgCIIgCMIIQIQ3QRAEQRAEQRCEEYAIb4IgCIIgCIIgCCMAEd6S0NLSwqJFi2hsbKS8vJyqqioaGxtpbGzkvvvuY/LkyUybNo3GxkbWrl0LBNIGvPHGG5blPfbYYyil2Lx586m8DUEQBEEQBEEQRjiS5y0JRUVFvPTSS+Tk5HDvvfeSnZ3NZz/7WV555RU+/elPs27dOlwuF83NzXg8nqTlrVmzhsWLF/PQQw9JDjhBEARBEARBEFJmRAlv+z7/wqCVXf2tJX06/uDBgxQXF+NyuQAoLi5Oek57ezsvvfQSzz33HCtXrhThTRAEQRAEQTizkGiTA0LMJvvJ+eefz969e2loaOCjH/0o//znP5Oe8/jjj3PBBRfQ0NBAYWEh69atOwU1FQRBEARBEAThdECEt36SnZ3Nm2++yU9/+lNKSkq49tpr+dWvfpXwnDVr1rB69WoAVq9ezZo1a05BTQVBEARBEARBOB0YUWaTfTVtHGxsNhvLli1j2bJlTJ06lV//+tfcdNNNlse2tLTw7LPP8u6776KUwu/3o5Ti29/+NkrUx4IgCIIgCIIgJEE0b/1ky5YtbNu2LfR7/fr11NTUxD3+0Ucf5YYbbmD37t00NTWxd+9e6urqePHFF09FdQVBEARBEARBGOGMKM3bcKK9vZ2Pf/zjnDhxArvdztixY/npT38a2n/xxRfjcDgAWLBgAUePHuXzn/98VBlXXnklDz74IEuWDC+NoiAIgiAIgiAIww8R3vpAZHTIWbNm8fLLL1se9/zzz6dU3p133pmGWgmCIAiCIAjCCEHchQbEgMwmlVJfU0ptUEqtV0r9TSlVGbHvbqXUdqXUFqXUioFXVRAEQRAEQRAE4cxloD5v3zEMY5phGI3An4EvAyilJgGrgcnABcCPlVK2AV5LEARBEARBEAThjGVAwpthGCcjfmYBRvDvy4CHDMPoMQxjF7AdmDuQawmCIAiCIAiCIJzJDNjnTSl1P3AD0AqcHdxcBbwacdi+4Dar828HbgcoKyuL8RfLy8ujra1toNUcEH6/f8jrANDd3Z2yP50gRNLe3i5tRxixSPsVRjLSfoWRTjracFnE3z6vV76JAZBUeFNK/R0ot9j1RcMw/mgYxheBLyql7gY+BnwFsPJENCy2YRjGT4GfAsyePdtYtmxZ1P5NmzaRk5OTrJqDSltb25DXAcDtdjNjxoyhroYwAnn++ecxf1uCMFKQ9iuMZKT9CiOddLThTRF/2x0O+SYGQFLhzTCM5SmW9SDwFwLC2z5gVMS+auBAn2snCIIgCIIgCIIgAAOPNjku4udKYHPw7yeA1Uopl1KqDhgHvDaQaw01hw8f5vrrr6e+vp5Zs2axYMECHnvsMQBefPFF5s6dy4QJE5gwYUJUvjeAn/70p6F9c+fOjUrM7fP5+MIXvsC4ceNobGyksbGR+++//5TemyAIgiAIgiAIw5+B+rx9Syk1HtCB3cCHAQzD2KiU+j3wHuAD7jAMwz/Aaw0ZhmGwatUqbrzxRh588EEAdu/ezRNPPMGhQ4e4/vrrefzxx5k5cybNzc2sWLGCqqoqLr74Yv785z/z3//937z44osUFxezbt06Vq1axWuvvUZ5eTlf+tKXOHToEO+88w5ut5u2tja+973vDfEdC4IgCIIgCEL6kSxvA2NAwpthGFcm2Hc/kFYVUmSS7HSTqOx//vOfOJ1OPvzhD4e21dTU8PGPf5x77rmHm266iZkzZwJQXFzMt7/9be69914uvvhiHnjgAb7zne9QXFwMwMyZM7nxxhv50Y9+xN13383PfvYzmpqacLvdAOTk5AzqfQqCIAiCIAiCMDIZaJ63M4JNmzaFhDMzGzduZNasWVHbZs+ezcaNG5Pu3759O6NHjx4WwVAEQRAEQRAEQRjeiPDWD+644w6mT5/OnDlzMAwDpWIVwFbbeol3zi9/+UsaGxsZNWoUe/fuTWudBUEQBEEQBEEY2Qw4z9upZKjMCSdOnMhf/vKX0O8f/ehHNDc3M3v2bFasWMEbb7zBypUrQ/vffPNNJk2aBMCkSZN48803Oeecc0L7161bx6RJkxg7dix79uwJpSK4+eabufnmm5kyZQp+/4h1ERQEQRAEQRAEYRAQzVsKLF26lO7ubn7yk5+EtnV2dgIBLdyvfvUr1q9fD0BLSwt33XUXn/vc5wD43Oc+x1133UVLSwsA69ev51e/+hUf/ehHyczM5NZbb+VjH/sY3d3dQCAhuMfjOYV3JwiCIAiCIAjCSGBEad6GCqUUjz/+OJ/61Kf49re/TUlJCVlZWTzwwANUVFTw29/+lttuu422tjYMw+CTn/wkl156KQArV65k//79LFy4EKUUOTk5/Pa3v6WiogKA+++/n3vuuYcpU6aQk5NDRkYGN954I5WVlUN5y4IgCIIgCIKQfhK4FgnJEeEtRSoqKnjooYcs95111lm8/vrrcc/9yEc+wkc+8hHLfQ6Hg29961t861vfSks9BUEQBEEQBEE4PRGzSUEQBEEQBEEQhBGACG+CIAiCIAiCIAgjABHeBEEQBEEQBEEQRgAivAmCIAiCIAiCIIwARHgTBEEQBEEQBOHUINEmB4QIb4IgCIIgCIIgCCMAEd7SzK9+9StKSkpobGyksbGRn//856F9v/71rxk3bhzjxo3j17/+dWj7rl27mDdvHuPGjePaa6+VJN2CIAiCIAjCaUPGrFmhv7MWLx7Cmox8RHgbBK699lrWr1/P+vXr+eAHPwjAsWPHuO+++1i7di2vvfYa9913H8ePHwfgrrvu4lOf+hTbtm2joKCA//mf/xnK6guCIAiCIAhC2qh84AFc48fjnj6Nsi/cPdTVGdGMqCTd/3h2zKCVfe45O+Lu6+joYPXq1ezbtw+/388999zDXXfdxbXXXstzzz0HwIMPPsjYsWPjlvH0009z3nnnUVhYCMB5553HU089xerVq3n22Wd58MEHAbjxxhu599574yb1FgRBEARBEISRhLO6irrHH0OJv9uAEc1bCvz973+nsrKSt99+m3fffZcLLrgAgNzcXF577TU+9rGP8clPfjJ0/B/+8AemTZvGVVddxd69ewHYv38/o0aNCh1TXV3N/v37aWlpIT8/H7vdHrVdEARBEARBEE4XRHBLDyK8pcCkSZP4+9//zl133cULL7xAXl4eANddd13o/1deeQWASy+9lKamJjZs2MDy5cu58cYbATAMI6ZcpVTc7YIgCIIgCIIgCJGMKLPJRKaNg8m4ceN48803efLJJ7n77rs5//zzgWghq/fvoqKi0LbbbruNu+66Cwho1J5//vnQvn379rFs2TKKi4s5ceIEPp8Pu93Ovn37qKysPAV3JQiCIAiCIAjCSEI0bylw8OBBMjMzef/7389nP/tZ1q1bB8DDDz8c+n/BggWhY3t54oknmDhxIgArVqzgb3/7G8ePH+f48eP87W9/Y8WKFSilOPvss3n00UeBQETKyy677FTeniAIgiAIgiAII4ARpXkbKjZu3MhVV12Fpmk4HA5+8pOfcNVVV9HT08O8efPQdZ01a9YA8MMf/pAnnngCu91OYWEhv/rVrwAoLCzknnvuYc6cOQB8+ctfDgUveeCBB1i9ejVf+tKXmDFjBrfeeuuQ3KcgCIIgCIIgCMMXEd5SYPny5Vx++eUx2++44w6+8pWvRG375je/yTe/+U3Lcm655RZuueWWmO319fW89tpr6amsIAiCIAiCIAinJWI2KQiCIAiCIAiCMAIQzVs/aWpqGuoqCIIgCIIgCIJwBjEiNG9W4fTPNOQZCIIgCIIgCMKZzbAX3txuNy0tLWe08GIYBi0tLbjd7qGuiiAIgiAIgiAIQ8SwN5usrq5m3759HD16dMjq0N3dPeSCk9vtprq6ekjrIAiCIAiCIAjC0DHshTeHw0FdXd2Q1uH5559nxowZQ1oHQRAEQRAEQRDObIa92aQgCIIgCIIgCIIgwpsgCIIgCIIgCMKIQIQ3QRAEQRAEQRCEEYAaTlEclVJHgd1DXQ8LioHmoa6EIAwAacPCSEbarzCSkfYrjHSkDZ96agzDKLHaMayEt+GKUuoNwzBmD3U9BKG/SBsWRjLSfoWRjLRfYaQjbXh4IWaTgiAIgiAIgiAIIwAR3gRBEARBEARBEEYAIrylxk+HugKCMECkDQsjGWm/wkhG2q8w0pE2PIwQnzdBEARBEARBEIQRgGjeBEEQBEEQBEEQRgAivAmCIAiCIAiCIIwARqTwppQapZR6Tim1SSm1USn1ieD2QqXUM0qpbcH/C4Lbi4LHtyul/l9EOZlKqb8opTYHy/lWgmvOUkq9o5TarpT6oVJKBbefpZRap5TyKaWuSnC+5XFKqUal1CvB629QSl2bjmckDF/S1X5NZT6hlHo3wTUH2n5dSqmHg+evVUrVRux7QCn1bvCftN8zgHS2YaWUUyn1U6XU1mBffGWcaw5mG/YrpdYH/z2RhkckDGPSOIfIiWg365VSzUqpf49zzfuVUnuVUu2m7Z9WSr0XHP//oZSqiXN+3OOUUt8O3semyG9DOD1Jc/97bbBNbVRKfTvBNQet/Qb35yql9pvrJ1gzIoU3wAd8xjCMicB84A6l1CTg88A/DMMYB/wj+BugG7gH+KxFWd81DGMCMANYpJS6MM41fwLcDowL/rsguH0PcBPwYJI6xzuuE7jBMIzJwTL/XSmVn6QsYWSTzvaLUuoKoN1qXwQDbb+3AscNwxgL/AB4IHjti4GZQCMwD/g3pVRukrKEkU862/AXgSOGYTQAk4B/xrnmoLThIF2GYTQG/61MUo4w8klL+zUMoy2i3TQCu4H/i3PNPwFzLba/Bcw2DGMa8CgQbwJteZxSaiGwCJgGTAHmAEsT374wwklL+1VKFQHfAc4NzkHLlFLnxrnmoLTfCL5G/L5fMDEihTfDMA4ahrEu+HcbsAmoAi4Dfh087NfAquAxHYZhvEigAUeW02kYxnPBvz3AOqDafD2lVAWQaxjGK0Ygwsv/RpTdZBjGBkBPUmfL4wzD2GoYxrbg3weAI4BlRnXh9CBd7RdAKZUNfBr4erzrpaP9mur2KHBucHV3EvBPwzB8hmF0AG8TnlQLpynpbMPALcA3g8fphmE0mw8Y5DYsnGGkuf0CoJQaB5QCL8S55quGYRy02P6cYRidwZ+vYjEHSXKcAbgBJ+ACHMDhePUURj5pbL/1wFbDMI4Gf/8dsLR8GMT2i1JqFlAG/C3ePQvRjEjhLZKg6csMYC1Q1tu4gv+X9qGcfOBSAqsVZqqAfRG/9wW3pRWl1FwCHfCOdJctDE/S0H6/BnyPgAY3Hulov1XA3mDdfEArUERAWLtQBUyQi4GzgVF9LFsYwQykDUdYGXwtaPr4iFKqzOLQwWzDAG6l1BtKqVeVUqv6WK4wgknXHAK4DnjYGFgI71uBv/blOMMwXgGeAw4G/z1tGMamAdRBGEEMsP1uByYopWqVUnYCwt5Axu8+t1+llEZgDvNvA7juGYd9qCswEIJahz8AnzQM42R/F1GDjXYN8EPDMHZaHWKxLa05FoIry78BbjQMI9kKsnAaMND2q5RqBMYahvGpSP8dq0MttvW1/VqWYRjG35RSc4CXgaPAKwRMOoQzgDT0wXYCK7AvGYbxaaXUp4HvAh8wX8ri3LS04eD/ow3DOKCUqgeeVUq9YxiGLKKd5qRrDhFkNbHtti91eT8wmyQmj+bjlFJjgYmENRnPKKXOMgzjX/2tizAyGGj7NQzjuFLqI8DDBCwXXiagjetPXfrVfoGPAk8ahrFXDCH+f3v3FmJVFQZw/P+hZmEllvkQUSIoVqBWRhqBQtlDRBQodNWgCAKDCB+CoiIUIkIqpotR0IXwQSIyehCyJCqkKLxLGOpDGBrVgyMZOX49rDU5jM6cgc6ccc/8f7A55+yzL2tvPs5Z315r7T10jW15i4gJlKD9MDN7+5gfrklQbzJ0ZIibewvYl5kv13XHxakByM9TrvL2bQq+DDjUonxrercxhGO5EPgMeDoztw6xzGqwNsXvQuC6iDgIfA3MiogtwxS/v1CvyNWLHZOBPwAyc00d87GEUkHe1/oMqOnaFMO/U1qNP66fNwDXjkAMH6qv+4EtlCvZGsXaWYeIiLnA+Mz8oX7uH7+t1r+FMvbzjsz8u847rQ5xpuWAu4Ctmdmdmd2UFo0FQym3mqtd8ZuZn2bmDZm5EPgJ2Nfh+F0IrKz1mJeA5THIzQNVNDJ5q+MU3gH2ZubaPl9tBFbU9yuAT4awrdWUP/HHe+dlZk+eGoT8TG1+PhoRC+q+l7fadmY+lacGMQ+2/3MoFZf3M3NDq/Kq+doVv5n5RmZempnTgZsofdcXD1P89i3bUuCLzMz6I39xPa45lEHz9lsf5doYw0kZCL+4zroZ2NPhGJ4SERPrcU2l3PxhT4tToAZrZx2iuofSewc4vQ7RoizXAOsoFdr/Ktv943eg5Sg37FkUEeNrhX4RZQyURqk214Gn1dcplFawtzsZv5l5X2ZeXusxqyh14SfR4DKzcROloprADmBbnW6jjF/YTLnyvxm4qM86BylXWbspV2Cvoly9TcoPXe92Hh5gn/OBXZTxaF1A1PnX1+0do1xF3j3A+mdcDrgf+KfP/rcB80b6HDud/fHbb5vTgV2D7PP/xu+5lFaRn4HvgBl95u+p01Zjd2xM7Yxh4Argq7qtzZQujGfa53DF8I3ATsr4zZ3AQyN9fp2aE7/1u/3A7Bb7fLGud7K+Plfnf065wUhvOTYOsP4ZlwPGUSrFe+vv8NqRPr9Owzu1+fd3Paf+w+8eZJ/DEr/9lnkQ6Brp89uEqffPT5IkSZJ0Fmtkt0lJkiRJGmtM3iRJkiSpAUzeJEmSJKkBTN4kSZIkqQFM3iRJkiSpAUzeJEmjXkT01IfG7o6I7RHxREQM+h8YEdMj4t5OlVGSpFZM3iRJY8FfWR4aezWwhPJcpGdbrDMdMHmTJJ01fM6bJGnUi4juzDy/z+cZwPfAVMqDwj8AJtWvV2bmtxGxFbgSOAC8B7wKvAAsBiYCr2Xmuo4dhCRpzDN5kySNev2TtzrvT2A2cBQ4mZnHI2ImsD4z50fEYmBVZt5el38EmJaZqyNiIvANsCwzD3TyWCRJY9f4kS6AJEkjJOrrBKArIuYBPcCsAZa/FZgTEUvr58nATErLnCRJw87kTZI05tRukz3AEcrYt8PAXMpY8OMDrQY8lpmbOlJISZL68YYlkqQxJSIuAd4EurKMHZgM/JqZJ4EHgHF10aPABX1W3QQ8GhET6nZmRcQkJEnqEFveJEljwXkRsY3SRfIE5QYla+t3rwMfRcQy4EvgWJ2/AzgREduBd4FXKHeg/DEiAvgNuLMzxZckyRuWSJIkSVIj2G1SkiRJkhrA5E2SJEmSGsDkTZIkSZIawORNkiRJkhrA5E2SJEmSGsDkTZIkSZIawORNkiRJkhrgX6zLAuZi3Ng2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_plot(stocks_daily_return,'Stocks Daily Returns')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlations Between Daily Returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "cm = stocks_daily_return.drop(columns=['Date']).corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,12))\n",
    "sns.heatmap(cm, annot = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Histogram for Daily Returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Histogram Representation of All Stocks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Histogram Representation of All Stocks')\n",
    "stocks_daily_return.hist(figsize=(12,8), bins=50);"
   ]
  },
  {
   "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></th>\n",
       "      <th>Date</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>BA</th>\n",
       "      <th>T</th>\n",
       "      <th>MGM</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>IBM</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>sp500</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012-01-12</td>\n",
       "      <td>60.198570</td>\n",
       "      <td>75.510002</td>\n",
       "      <td>30.120001</td>\n",
       "      <td>12.130000</td>\n",
       "      <td>175.929993</td>\n",
       "      <td>180.550003</td>\n",
       "      <td>28.250000</td>\n",
       "      <td>313.644379</td>\n",
       "      <td>1295.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-13</td>\n",
       "      <td>59.972858</td>\n",
       "      <td>74.599998</td>\n",
       "      <td>30.070000</td>\n",
       "      <td>12.350000</td>\n",
       "      <td>178.419998</td>\n",
       "      <td>179.160004</td>\n",
       "      <td>22.790001</td>\n",
       "      <td>311.328064</td>\n",
       "      <td>1289.089966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-01-17</td>\n",
       "      <td>60.671429</td>\n",
       "      <td>75.239998</td>\n",
       "      <td>30.250000</td>\n",
       "      <td>12.250000</td>\n",
       "      <td>181.660004</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>26.600000</td>\n",
       "      <td>313.116364</td>\n",
       "      <td>1293.670044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-01-18</td>\n",
       "      <td>61.301430</td>\n",
       "      <td>75.059998</td>\n",
       "      <td>30.330000</td>\n",
       "      <td>12.730000</td>\n",
       "      <td>189.440002</td>\n",
       "      <td>181.070007</td>\n",
       "      <td>26.809999</td>\n",
       "      <td>315.273285</td>\n",
       "      <td>1308.040039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-19</td>\n",
       "      <td>61.107143</td>\n",
       "      <td>75.559998</td>\n",
       "      <td>30.420000</td>\n",
       "      <td>12.800000</td>\n",
       "      <td>194.449997</td>\n",
       "      <td>180.520004</td>\n",
       "      <td>26.760000</td>\n",
       "      <td>318.590851</td>\n",
       "      <td>1314.500000</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>2154</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>440.250000</td>\n",
       "      <td>174.279999</td>\n",
       "      <td>29.850000</td>\n",
       "      <td>16.719999</td>\n",
       "      <td>3205.030029</td>\n",
       "      <td>125.449997</td>\n",
       "      <td>1485.020020</td>\n",
       "      <td>1473.609985</td>\n",
       "      <td>3327.770020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2155</th>\n",
       "      <td>2020-08-06</td>\n",
       "      <td>455.609985</td>\n",
       "      <td>172.199997</td>\n",
       "      <td>29.840000</td>\n",
       "      <td>18.459999</td>\n",
       "      <td>3225.000000</td>\n",
       "      <td>126.120003</td>\n",
       "      <td>1489.579956</td>\n",
       "      <td>1500.099976</td>\n",
       "      <td>3349.159912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2156</th>\n",
       "      <td>2020-08-07</td>\n",
       "      <td>444.450012</td>\n",
       "      <td>170.020004</td>\n",
       "      <td>30.020000</td>\n",
       "      <td>19.030001</td>\n",
       "      <td>3167.459961</td>\n",
       "      <td>124.959999</td>\n",
       "      <td>1452.709961</td>\n",
       "      <td>1494.489990</td>\n",
       "      <td>3351.280029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2157</th>\n",
       "      <td>2020-08-10</td>\n",
       "      <td>450.910004</td>\n",
       "      <td>179.410004</td>\n",
       "      <td>30.200001</td>\n",
       "      <td>21.650000</td>\n",
       "      <td>3148.159912</td>\n",
       "      <td>127.110001</td>\n",
       "      <td>1418.569946</td>\n",
       "      <td>1496.099976</td>\n",
       "      <td>3360.469971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2158</th>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>437.500000</td>\n",
       "      <td>180.130005</td>\n",
       "      <td>30.200001</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>3080.669922</td>\n",
       "      <td>126.750000</td>\n",
       "      <td>1374.390015</td>\n",
       "      <td>1480.319946</td>\n",
       "      <td>3333.689941</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2159 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date        AAPL          BA          T        MGM         AMZN  \\\n",
       "0     2012-01-12   60.198570   75.510002  30.120001  12.130000   175.929993   \n",
       "1     2012-01-13   59.972858   74.599998  30.070000  12.350000   178.419998   \n",
       "2     2012-01-17   60.671429   75.239998  30.250000  12.250000   181.660004   \n",
       "3     2012-01-18   61.301430   75.059998  30.330000  12.730000   189.440002   \n",
       "4     2012-01-19   61.107143   75.559998  30.420000  12.800000   194.449997   \n",
       "...          ...         ...         ...        ...        ...          ...   \n",
       "2154  2020-08-05  440.250000  174.279999  29.850000  16.719999  3205.030029   \n",
       "2155  2020-08-06  455.609985  172.199997  29.840000  18.459999  3225.000000   \n",
       "2156  2020-08-07  444.450012  170.020004  30.020000  19.030001  3167.459961   \n",
       "2157  2020-08-10  450.910004  179.410004  30.200001  21.650000  3148.159912   \n",
       "2158  2020-08-11  437.500000  180.130005  30.200001  21.500000  3080.669922   \n",
       "\n",
       "             IBM         TSLA         GOOG        sp500  \n",
       "0     180.550003    28.250000   313.644379  1295.500000  \n",
       "1     179.160004    22.790001   311.328064  1289.089966  \n",
       "2     180.000000    26.600000   313.116364  1293.670044  \n",
       "3     181.070007    26.809999   315.273285  1308.040039  \n",
       "4     180.520004    26.760000   318.590851  1314.500000  \n",
       "...          ...          ...          ...          ...  \n",
       "2154  125.449997  1485.020020  1473.609985  3327.770020  \n",
       "2155  126.120003  1489.579956  1500.099976  3349.159912  \n",
       "2156  124.959999  1452.709961  1494.489990  3351.280029  \n",
       "2157  127.110001  1418.569946  1496.099976  3360.469971  \n",
       "2158  126.750000  1374.390015  1480.319946  3333.689941  \n",
       "\n",
       "[2159 rows x 10 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.sort_values(by = ['Date'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_plot(normalize(df),'Normalized data plot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Asset Allocation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.10921307 0.12069041 0.00602201 0.03627509 0.14492913 0.17636073\n",
      " 0.06492024 0.1889901  0.15259921]\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(101)\n",
    "weights = np.array(np.random.random(9))\n",
    "\n",
    "weights = weights/ np.sum(weights)\n",
    "\n",
    "print(weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>BA</th>\n",
       "      <th>T</th>\n",
       "      <th>MGM</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>IBM</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>sp500</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012-01-12</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-13</td>\n",
       "      <td>0.996251</td>\n",
       "      <td>0.987949</td>\n",
       "      <td>0.998340</td>\n",
       "      <td>1.018137</td>\n",
       "      <td>1.014153</td>\n",
       "      <td>0.992301</td>\n",
       "      <td>0.806726</td>\n",
       "      <td>0.992615</td>\n",
       "      <td>0.995052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-01-17</td>\n",
       "      <td>1.007855</td>\n",
       "      <td>0.996424</td>\n",
       "      <td>1.004316</td>\n",
       "      <td>1.009893</td>\n",
       "      <td>1.032570</td>\n",
       "      <td>0.996954</td>\n",
       "      <td>0.941593</td>\n",
       "      <td>0.998317</td>\n",
       "      <td>0.998587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-01-18</td>\n",
       "      <td>1.018320</td>\n",
       "      <td>0.994040</td>\n",
       "      <td>1.006972</td>\n",
       "      <td>1.049464</td>\n",
       "      <td>1.076792</td>\n",
       "      <td>1.002880</td>\n",
       "      <td>0.949027</td>\n",
       "      <td>1.005193</td>\n",
       "      <td>1.009680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-19</td>\n",
       "      <td>1.015093</td>\n",
       "      <td>1.000662</td>\n",
       "      <td>1.009960</td>\n",
       "      <td>1.055235</td>\n",
       "      <td>1.105269</td>\n",
       "      <td>0.999834</td>\n",
       "      <td>0.947257</td>\n",
       "      <td>1.015771</td>\n",
       "      <td>1.014666</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>2154</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>7.313297</td>\n",
       "      <td>2.308039</td>\n",
       "      <td>0.991036</td>\n",
       "      <td>1.378401</td>\n",
       "      <td>18.217644</td>\n",
       "      <td>0.694821</td>\n",
       "      <td>52.567080</td>\n",
       "      <td>4.698347</td>\n",
       "      <td>2.568715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2155</th>\n",
       "      <td>2020-08-06</td>\n",
       "      <td>7.568452</td>\n",
       "      <td>2.280493</td>\n",
       "      <td>0.990704</td>\n",
       "      <td>1.521847</td>\n",
       "      <td>18.331155</td>\n",
       "      <td>0.698532</td>\n",
       "      <td>52.728494</td>\n",
       "      <td>4.782805</td>\n",
       "      <td>2.585226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2156</th>\n",
       "      <td>2020-08-07</td>\n",
       "      <td>7.383066</td>\n",
       "      <td>2.251622</td>\n",
       "      <td>0.996680</td>\n",
       "      <td>1.568838</td>\n",
       "      <td>18.004093</td>\n",
       "      <td>0.692107</td>\n",
       "      <td>51.423361</td>\n",
       "      <td>4.764919</td>\n",
       "      <td>2.586862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2157</th>\n",
       "      <td>2020-08-10</td>\n",
       "      <td>7.490377</td>\n",
       "      <td>2.375977</td>\n",
       "      <td>1.002656</td>\n",
       "      <td>1.784831</td>\n",
       "      <td>17.894390</td>\n",
       "      <td>0.704016</td>\n",
       "      <td>50.214865</td>\n",
       "      <td>4.770052</td>\n",
       "      <td>2.593956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2158</th>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>7.267614</td>\n",
       "      <td>2.385512</td>\n",
       "      <td>1.002656</td>\n",
       "      <td>1.772465</td>\n",
       "      <td>17.510772</td>\n",
       "      <td>0.702022</td>\n",
       "      <td>48.650974</td>\n",
       "      <td>4.719740</td>\n",
       "      <td>2.573284</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2159 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date      AAPL        BA         T       MGM       AMZN       IBM  \\\n",
       "0     2012-01-12  1.000000  1.000000  1.000000  1.000000   1.000000  1.000000   \n",
       "1     2012-01-13  0.996251  0.987949  0.998340  1.018137   1.014153  0.992301   \n",
       "2     2012-01-17  1.007855  0.996424  1.004316  1.009893   1.032570  0.996954   \n",
       "3     2012-01-18  1.018320  0.994040  1.006972  1.049464   1.076792  1.002880   \n",
       "4     2012-01-19  1.015093  1.000662  1.009960  1.055235   1.105269  0.999834   \n",
       "...          ...       ...       ...       ...       ...        ...       ...   \n",
       "2154  2020-08-05  7.313297  2.308039  0.991036  1.378401  18.217644  0.694821   \n",
       "2155  2020-08-06  7.568452  2.280493  0.990704  1.521847  18.331155  0.698532   \n",
       "2156  2020-08-07  7.383066  2.251622  0.996680  1.568838  18.004093  0.692107   \n",
       "2157  2020-08-10  7.490377  2.375977  1.002656  1.784831  17.894390  0.704016   \n",
       "2158  2020-08-11  7.267614  2.385512  1.002656  1.772465  17.510772  0.702022   \n",
       "\n",
       "           TSLA      GOOG     sp500  \n",
       "0      1.000000  1.000000  1.000000  \n",
       "1      0.806726  0.992615  0.995052  \n",
       "2      0.941593  0.998317  0.998587  \n",
       "3      0.949027  1.005193  1.009680  \n",
       "4      0.947257  1.015771  1.014666  \n",
       "...         ...       ...       ...  \n",
       "2154  52.567080  4.698347  2.568715  \n",
       "2155  52.728494  4.782805  2.585226  \n",
       "2156  51.423361  4.764919  2.586862  \n",
       "2157  50.214865  4.770052  2.593956  \n",
       "2158  48.650974  4.719740  2.573284  \n",
       "\n",
       "[2159 rows x 10 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pf = normalize(df)\n",
    "df_pf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['AAPL', 'BA', 'T', 'MGM', 'AMZN', 'IBM', 'TSLA', 'GOOG', 'sp500'], dtype='object')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pf.columns[1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>BA</th>\n",
       "      <th>T</th>\n",
       "      <th>MGM</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>IBM</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>sp500</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012-01-12</td>\n",
       "      <td>109213.072967</td>\n",
       "      <td>120690.407490</td>\n",
       "      <td>6022.010143</td>\n",
       "      <td>36275.090893</td>\n",
       "      <td>1.449291e+05</td>\n",
       "      <td>176360.729910</td>\n",
       "      <td>6.492024e+04</td>\n",
       "      <td>188990.104235</td>\n",
       "      <td>152599.209597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-13</td>\n",
       "      <td>108803.583155</td>\n",
       "      <td>119235.914699</td>\n",
       "      <td>6012.013247</td>\n",
       "      <td>36933.006803</td>\n",
       "      <td>1.469804e+05</td>\n",
       "      <td>175002.982837</td>\n",
       "      <td>5.237283e+04</td>\n",
       "      <td>187594.381427</td>\n",
       "      <td>151844.160487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-01-17</td>\n",
       "      <td>110070.940263</td>\n",
       "      <td>120258.850187</td>\n",
       "      <td>6048.001354</td>\n",
       "      <td>36633.954117</td>\n",
       "      <td>1.496495e+05</td>\n",
       "      <td>175823.488543</td>\n",
       "      <td>6.112844e+04</td>\n",
       "      <td>188671.942595</td>\n",
       "      <td>152383.655881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-01-18</td>\n",
       "      <td>111213.896735</td>\n",
       "      <td>119971.149581</td>\n",
       "      <td>6063.996069</td>\n",
       "      <td>38069.407013</td>\n",
       "      <td>1.560585e+05</td>\n",
       "      <td>176868.668340</td>\n",
       "      <td>6.161103e+04</td>\n",
       "      <td>189971.620676</td>\n",
       "      <td>154076.322712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-19</td>\n",
       "      <td>110861.418590</td>\n",
       "      <td>120770.317932</td>\n",
       "      <td>6081.990122</td>\n",
       "      <td>38278.743893</td>\n",
       "      <td>1.601857e+05</td>\n",
       "      <td>176331.426972</td>\n",
       "      <td>6.149613e+04</td>\n",
       "      <td>191970.659033</td>\n",
       "      <td>154837.252810</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>2154</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>798707.600095</td>\n",
       "      <td>278558.118654</td>\n",
       "      <td>5968.027783</td>\n",
       "      <td>50001.606220</td>\n",
       "      <td>2.640267e+06</td>\n",
       "      <td>122539.200612</td>\n",
       "      <td>3.412668e+06</td>\n",
       "      <td>887941.003611</td>\n",
       "      <td>391983.847760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2155</th>\n",
       "      <td>2020-08-06</td>\n",
       "      <td>826573.895966</td>\n",
       "      <td>275233.575119</td>\n",
       "      <td>5966.028443</td>\n",
       "      <td>55205.122968</td>\n",
       "      <td>2.656718e+06</td>\n",
       "      <td>123193.660569</td>\n",
       "      <td>3.423147e+06</td>\n",
       "      <td>903902.858806</td>\n",
       "      <td>394503.400529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2156</th>\n",
       "      <td>2020-08-07</td>\n",
       "      <td>806327.319584</td>\n",
       "      <td>271749.212299</td>\n",
       "      <td>6002.016551</td>\n",
       "      <td>56909.729263</td>\n",
       "      <td>2.609318e+06</td>\n",
       "      <td>122060.571958</td>\n",
       "      <td>3.338417e+06</td>\n",
       "      <td>900522.495854</td>\n",
       "      <td>394753.132817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2157</th>\n",
       "      <td>2020-08-10</td>\n",
       "      <td>818047.125846</td>\n",
       "      <td>286757.593922</td>\n",
       "      <td>6038.004858</td>\n",
       "      <td>64744.906663</td>\n",
       "      <td>2.593418e+06</td>\n",
       "      <td>124160.687803</td>\n",
       "      <td>3.259961e+06</td>\n",
       "      <td>901492.611827</td>\n",
       "      <td>395835.632149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2158</th>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>793718.512304</td>\n",
       "      <td>287908.397945</td>\n",
       "      <td>6038.004858</td>\n",
       "      <td>64296.327633</td>\n",
       "      <td>2.537821e+06</td>\n",
       "      <td>123809.039849</td>\n",
       "      <td>3.158433e+06</td>\n",
       "      <td>891984.169418</td>\n",
       "      <td>392681.165603</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>2159 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date           AAPL             BA            T           MGM  \\\n",
       "0     2012-01-12  109213.072967  120690.407490  6022.010143  36275.090893   \n",
       "1     2012-01-13  108803.583155  119235.914699  6012.013247  36933.006803   \n",
       "2     2012-01-17  110070.940263  120258.850187  6048.001354  36633.954117   \n",
       "3     2012-01-18  111213.896735  119971.149581  6063.996069  38069.407013   \n",
       "4     2012-01-19  110861.418590  120770.317932  6081.990122  38278.743893   \n",
       "...          ...            ...            ...          ...           ...   \n",
       "2154  2020-08-05  798707.600095  278558.118654  5968.027783  50001.606220   \n",
       "2155  2020-08-06  826573.895966  275233.575119  5966.028443  55205.122968   \n",
       "2156  2020-08-07  806327.319584  271749.212299  6002.016551  56909.729263   \n",
       "2157  2020-08-10  818047.125846  286757.593922  6038.004858  64744.906663   \n",
       "2158  2020-08-11  793718.512304  287908.397945  6038.004858  64296.327633   \n",
       "\n",
       "              AMZN            IBM          TSLA           GOOG          sp500  \n",
       "0     1.449291e+05  176360.729910  6.492024e+04  188990.104235  152599.209597  \n",
       "1     1.469804e+05  175002.982837  5.237283e+04  187594.381427  151844.160487  \n",
       "2     1.496495e+05  175823.488543  6.112844e+04  188671.942595  152383.655881  \n",
       "3     1.560585e+05  176868.668340  6.161103e+04  189971.620676  154076.322712  \n",
       "4     1.601857e+05  176331.426972  6.149613e+04  191970.659033  154837.252810  \n",
       "...            ...            ...           ...            ...            ...  \n",
       "2154  2.640267e+06  122539.200612  3.412668e+06  887941.003611  391983.847760  \n",
       "2155  2.656718e+06  123193.660569  3.423147e+06  903902.858806  394503.400529  \n",
       "2156  2.609318e+06  122060.571958  3.338417e+06  900522.495854  394753.132817  \n",
       "2157  2.593418e+06  124160.687803  3.259961e+06  901492.611827  395835.632149  \n",
       "2158  2.537821e+06  123809.039849  3.158433e+06  891984.169418  392681.165603  \n",
       "\n",
       "[2159 rows x 10 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for counter, stock in enumerate(df_pf.columns[1:]):\n",
    "    df_pf[stock] = df_pf[stock] * weights[counter]\n",
    "    df_pf[stock] = df_pf[stock] * 1000000\n",
    "    \n",
    "df_pf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>BA</th>\n",
       "      <th>T</th>\n",
       "      <th>MGM</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>IBM</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>sp500</th>\n",
       "      <th>Portfolio Daily Worth in $</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012-01-12</td>\n",
       "      <td>109213.072967</td>\n",
       "      <td>120690.407490</td>\n",
       "      <td>6022.010143</td>\n",
       "      <td>36275.090893</td>\n",
       "      <td>1.449291e+05</td>\n",
       "      <td>176360.729910</td>\n",
       "      <td>6.492024e+04</td>\n",
       "      <td>188990.104235</td>\n",
       "      <td>152599.209597</td>\n",
       "      <td>1.000000e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-13</td>\n",
       "      <td>108803.583155</td>\n",
       "      <td>119235.914699</td>\n",
       "      <td>6012.013247</td>\n",
       "      <td>36933.006803</td>\n",
       "      <td>1.469804e+05</td>\n",
       "      <td>175002.982837</td>\n",
       "      <td>5.237283e+04</td>\n",
       "      <td>187594.381427</td>\n",
       "      <td>151844.160487</td>\n",
       "      <td>9.847792e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-01-17</td>\n",
       "      <td>110070.940263</td>\n",
       "      <td>120258.850187</td>\n",
       "      <td>6048.001354</td>\n",
       "      <td>36633.954117</td>\n",
       "      <td>1.496495e+05</td>\n",
       "      <td>175823.488543</td>\n",
       "      <td>6.112844e+04</td>\n",
       "      <td>188671.942595</td>\n",
       "      <td>152383.655881</td>\n",
       "      <td>1.000669e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-01-18</td>\n",
       "      <td>111213.896735</td>\n",
       "      <td>119971.149581</td>\n",
       "      <td>6063.996069</td>\n",
       "      <td>38069.407013</td>\n",
       "      <td>1.560585e+05</td>\n",
       "      <td>176868.668340</td>\n",
       "      <td>6.161103e+04</td>\n",
       "      <td>189971.620676</td>\n",
       "      <td>154076.322712</td>\n",
       "      <td>1.013905e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-19</td>\n",
       "      <td>110861.418590</td>\n",
       "      <td>120770.317932</td>\n",
       "      <td>6081.990122</td>\n",
       "      <td>38278.743893</td>\n",
       "      <td>1.601857e+05</td>\n",
       "      <td>176331.426972</td>\n",
       "      <td>6.149613e+04</td>\n",
       "      <td>191970.659033</td>\n",
       "      <td>154837.252810</td>\n",
       "      <td>1.020814e+06</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2154</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>798707.600095</td>\n",
       "      <td>278558.118654</td>\n",
       "      <td>5968.027783</td>\n",
       "      <td>50001.606220</td>\n",
       "      <td>2.640267e+06</td>\n",
       "      <td>122539.200612</td>\n",
       "      <td>3.412668e+06</td>\n",
       "      <td>887941.003611</td>\n",
       "      <td>391983.847760</td>\n",
       "      <td>8.588634e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2155</th>\n",
       "      <td>2020-08-06</td>\n",
       "      <td>826573.895966</td>\n",
       "      <td>275233.575119</td>\n",
       "      <td>5966.028443</td>\n",
       "      <td>55205.122968</td>\n",
       "      <td>2.656718e+06</td>\n",
       "      <td>123193.660569</td>\n",
       "      <td>3.423147e+06</td>\n",
       "      <td>903902.858806</td>\n",
       "      <td>394503.400529</td>\n",
       "      <td>8.664444e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2156</th>\n",
       "      <td>2020-08-07</td>\n",
       "      <td>806327.319584</td>\n",
       "      <td>271749.212299</td>\n",
       "      <td>6002.016551</td>\n",
       "      <td>56909.729263</td>\n",
       "      <td>2.609318e+06</td>\n",
       "      <td>122060.571958</td>\n",
       "      <td>3.338417e+06</td>\n",
       "      <td>900522.495854</td>\n",
       "      <td>394753.132817</td>\n",
       "      <td>8.506059e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2157</th>\n",
       "      <td>2020-08-10</td>\n",
       "      <td>818047.125846</td>\n",
       "      <td>286757.593922</td>\n",
       "      <td>6038.004858</td>\n",
       "      <td>64744.906663</td>\n",
       "      <td>2.593418e+06</td>\n",
       "      <td>124160.687803</td>\n",
       "      <td>3.259961e+06</td>\n",
       "      <td>901492.611827</td>\n",
       "      <td>395835.632149</td>\n",
       "      <td>8.450456e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2158</th>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>793718.512304</td>\n",
       "      <td>287908.397945</td>\n",
       "      <td>6038.004858</td>\n",
       "      <td>64296.327633</td>\n",
       "      <td>2.537821e+06</td>\n",
       "      <td>123809.039849</td>\n",
       "      <td>3.158433e+06</td>\n",
       "      <td>891984.169418</td>\n",
       "      <td>392681.165603</td>\n",
       "      <td>8.256690e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2159 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date           AAPL             BA            T           MGM  \\\n",
       "0     2012-01-12  109213.072967  120690.407490  6022.010143  36275.090893   \n",
       "1     2012-01-13  108803.583155  119235.914699  6012.013247  36933.006803   \n",
       "2     2012-01-17  110070.940263  120258.850187  6048.001354  36633.954117   \n",
       "3     2012-01-18  111213.896735  119971.149581  6063.996069  38069.407013   \n",
       "4     2012-01-19  110861.418590  120770.317932  6081.990122  38278.743893   \n",
       "...          ...            ...            ...          ...           ...   \n",
       "2154  2020-08-05  798707.600095  278558.118654  5968.027783  50001.606220   \n",
       "2155  2020-08-06  826573.895966  275233.575119  5966.028443  55205.122968   \n",
       "2156  2020-08-07  806327.319584  271749.212299  6002.016551  56909.729263   \n",
       "2157  2020-08-10  818047.125846  286757.593922  6038.004858  64744.906663   \n",
       "2158  2020-08-11  793718.512304  287908.397945  6038.004858  64296.327633   \n",
       "\n",
       "              AMZN            IBM          TSLA           GOOG          sp500  \\\n",
       "0     1.449291e+05  176360.729910  6.492024e+04  188990.104235  152599.209597   \n",
       "1     1.469804e+05  175002.982837  5.237283e+04  187594.381427  151844.160487   \n",
       "2     1.496495e+05  175823.488543  6.112844e+04  188671.942595  152383.655881   \n",
       "3     1.560585e+05  176868.668340  6.161103e+04  189971.620676  154076.322712   \n",
       "4     1.601857e+05  176331.426972  6.149613e+04  191970.659033  154837.252810   \n",
       "...            ...            ...           ...            ...            ...   \n",
       "2154  2.640267e+06  122539.200612  3.412668e+06  887941.003611  391983.847760   \n",
       "2155  2.656718e+06  123193.660569  3.423147e+06  903902.858806  394503.400529   \n",
       "2156  2.609318e+06  122060.571958  3.338417e+06  900522.495854  394753.132817   \n",
       "2157  2.593418e+06  124160.687803  3.259961e+06  901492.611827  395835.632149   \n",
       "2158  2.537821e+06  123809.039849  3.158433e+06  891984.169418  392681.165603   \n",
       "\n",
       "      Portfolio Daily Worth in $  \n",
       "0                   1.000000e+06  \n",
       "1                   9.847792e+05  \n",
       "2                   1.000669e+06  \n",
       "3                   1.013905e+06  \n",
       "4                   1.020814e+06  \n",
       "...                          ...  \n",
       "2154                8.588634e+06  \n",
       "2155                8.664444e+06  \n",
       "2156                8.506059e+06  \n",
       "2157                8.450456e+06  \n",
       "2158                8.256690e+06  \n",
       "\n",
       "[2159 rows x 11 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pf[\"Portfolio Daily Worth in $\"] = df_pf[df_pf != 'Date'].sum(axis = 1)\n",
    "df_pf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Portfolio Daily Worth and Return in $"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-28-c9ea28b1c7a5>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_pf[\"Portfolio Daily % Return\"][i] = ((df_pf[\"Portfolio Daily Worth in $\"][i] - df_pf[\"Portfolio Daily Worth in $\"][i-1]) /  df_pf[\"Portfolio Daily Worth in $\"][i-1]) * 100\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>BA</th>\n",
       "      <th>T</th>\n",
       "      <th>MGM</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>IBM</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>sp500</th>\n",
       "      <th>Portfolio Daily Worth in $</th>\n",
       "      <th>Portfolio Daily % Return</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012-01-12</td>\n",
       "      <td>109213.072967</td>\n",
       "      <td>120690.407490</td>\n",
       "      <td>6022.010143</td>\n",
       "      <td>36275.090893</td>\n",
       "      <td>1.449291e+05</td>\n",
       "      <td>176360.729910</td>\n",
       "      <td>6.492024e+04</td>\n",
       "      <td>188990.104235</td>\n",
       "      <td>152599.209597</td>\n",
       "      <td>1.000000e+06</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-13</td>\n",
       "      <td>108803.583155</td>\n",
       "      <td>119235.914699</td>\n",
       "      <td>6012.013247</td>\n",
       "      <td>36933.006803</td>\n",
       "      <td>1.469804e+05</td>\n",
       "      <td>175002.982837</td>\n",
       "      <td>5.237283e+04</td>\n",
       "      <td>187594.381427</td>\n",
       "      <td>151844.160487</td>\n",
       "      <td>9.847792e+05</td>\n",
       "      <td>-1.522076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-01-17</td>\n",
       "      <td>110070.940263</td>\n",
       "      <td>120258.850187</td>\n",
       "      <td>6048.001354</td>\n",
       "      <td>36633.954117</td>\n",
       "      <td>1.496495e+05</td>\n",
       "      <td>175823.488543</td>\n",
       "      <td>6.112844e+04</td>\n",
       "      <td>188671.942595</td>\n",
       "      <td>152383.655881</td>\n",
       "      <td>1.000669e+06</td>\n",
       "      <td>1.613507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-01-18</td>\n",
       "      <td>111213.896735</td>\n",
       "      <td>119971.149581</td>\n",
       "      <td>6063.996069</td>\n",
       "      <td>38069.407013</td>\n",
       "      <td>1.560585e+05</td>\n",
       "      <td>176868.668340</td>\n",
       "      <td>6.161103e+04</td>\n",
       "      <td>189971.620676</td>\n",
       "      <td>154076.322712</td>\n",
       "      <td>1.013905e+06</td>\n",
       "      <td>1.322705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-19</td>\n",
       "      <td>110861.418590</td>\n",
       "      <td>120770.317932</td>\n",
       "      <td>6081.990122</td>\n",
       "      <td>38278.743893</td>\n",
       "      <td>1.601857e+05</td>\n",
       "      <td>176331.426972</td>\n",
       "      <td>6.149613e+04</td>\n",
       "      <td>191970.659033</td>\n",
       "      <td>154837.252810</td>\n",
       "      <td>1.020814e+06</td>\n",
       "      <td>0.681427</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2154</th>\n",
       "      <td>2020-08-05</td>\n",
       "      <td>798707.600095</td>\n",
       "      <td>278558.118654</td>\n",
       "      <td>5968.027783</td>\n",
       "      <td>50001.606220</td>\n",
       "      <td>2.640267e+06</td>\n",
       "      <td>122539.200612</td>\n",
       "      <td>3.412668e+06</td>\n",
       "      <td>887941.003611</td>\n",
       "      <td>391983.847760</td>\n",
       "      <td>8.588634e+06</td>\n",
       "      <td>0.879605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2155</th>\n",
       "      <td>2020-08-06</td>\n",
       "      <td>826573.895966</td>\n",
       "      <td>275233.575119</td>\n",
       "      <td>5966.028443</td>\n",
       "      <td>55205.122968</td>\n",
       "      <td>2.656718e+06</td>\n",
       "      <td>123193.660569</td>\n",
       "      <td>3.423147e+06</td>\n",
       "      <td>903902.858806</td>\n",
       "      <td>394503.400529</td>\n",
       "      <td>8.664444e+06</td>\n",
       "      <td>0.882669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2156</th>\n",
       "      <td>2020-08-07</td>\n",
       "      <td>806327.319584</td>\n",
       "      <td>271749.212299</td>\n",
       "      <td>6002.016551</td>\n",
       "      <td>56909.729263</td>\n",
       "      <td>2.609318e+06</td>\n",
       "      <td>122060.571958</td>\n",
       "      <td>3.338417e+06</td>\n",
       "      <td>900522.495854</td>\n",
       "      <td>394753.132817</td>\n",
       "      <td>8.506059e+06</td>\n",
       "      <td>-1.827981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2157</th>\n",
       "      <td>2020-08-10</td>\n",
       "      <td>818047.125846</td>\n",
       "      <td>286757.593922</td>\n",
       "      <td>6038.004858</td>\n",
       "      <td>64744.906663</td>\n",
       "      <td>2.593418e+06</td>\n",
       "      <td>124160.687803</td>\n",
       "      <td>3.259961e+06</td>\n",
       "      <td>901492.611827</td>\n",
       "      <td>395835.632149</td>\n",
       "      <td>8.450456e+06</td>\n",
       "      <td>-0.653686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2158</th>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>793718.512304</td>\n",
       "      <td>287908.397945</td>\n",
       "      <td>6038.004858</td>\n",
       "      <td>64296.327633</td>\n",
       "      <td>2.537821e+06</td>\n",
       "      <td>123809.039849</td>\n",
       "      <td>3.158433e+06</td>\n",
       "      <td>891984.169418</td>\n",
       "      <td>392681.165603</td>\n",
       "      <td>8.256690e+06</td>\n",
       "      <td>-2.292973</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2159 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date           AAPL             BA            T           MGM  \\\n",
       "0     2012-01-12  109213.072967  120690.407490  6022.010143  36275.090893   \n",
       "1     2012-01-13  108803.583155  119235.914699  6012.013247  36933.006803   \n",
       "2     2012-01-17  110070.940263  120258.850187  6048.001354  36633.954117   \n",
       "3     2012-01-18  111213.896735  119971.149581  6063.996069  38069.407013   \n",
       "4     2012-01-19  110861.418590  120770.317932  6081.990122  38278.743893   \n",
       "...          ...            ...            ...          ...           ...   \n",
       "2154  2020-08-05  798707.600095  278558.118654  5968.027783  50001.606220   \n",
       "2155  2020-08-06  826573.895966  275233.575119  5966.028443  55205.122968   \n",
       "2156  2020-08-07  806327.319584  271749.212299  6002.016551  56909.729263   \n",
       "2157  2020-08-10  818047.125846  286757.593922  6038.004858  64744.906663   \n",
       "2158  2020-08-11  793718.512304  287908.397945  6038.004858  64296.327633   \n",
       "\n",
       "              AMZN            IBM          TSLA           GOOG          sp500  \\\n",
       "0     1.449291e+05  176360.729910  6.492024e+04  188990.104235  152599.209597   \n",
       "1     1.469804e+05  175002.982837  5.237283e+04  187594.381427  151844.160487   \n",
       "2     1.496495e+05  175823.488543  6.112844e+04  188671.942595  152383.655881   \n",
       "3     1.560585e+05  176868.668340  6.161103e+04  189971.620676  154076.322712   \n",
       "4     1.601857e+05  176331.426972  6.149613e+04  191970.659033  154837.252810   \n",
       "...            ...            ...           ...            ...            ...   \n",
       "2154  2.640267e+06  122539.200612  3.412668e+06  887941.003611  391983.847760   \n",
       "2155  2.656718e+06  123193.660569  3.423147e+06  903902.858806  394503.400529   \n",
       "2156  2.609318e+06  122060.571958  3.338417e+06  900522.495854  394753.132817   \n",
       "2157  2.593418e+06  124160.687803  3.259961e+06  901492.611827  395835.632149   \n",
       "2158  2.537821e+06  123809.039849  3.158433e+06  891984.169418  392681.165603   \n",
       "\n",
       "      Portfolio Daily Worth in $  Portfolio Daily % Return  \n",
       "0                   1.000000e+06                  0.000000  \n",
       "1                   9.847792e+05                 -1.522076  \n",
       "2                   1.000669e+06                  1.613507  \n",
       "3                   1.013905e+06                  1.322705  \n",
       "4                   1.020814e+06                  0.681427  \n",
       "...                          ...                       ...  \n",
       "2154                8.588634e+06                  0.879605  \n",
       "2155                8.664444e+06                  0.882669  \n",
       "2156                8.506059e+06                 -1.827981  \n",
       "2157                8.450456e+06                 -0.653686  \n",
       "2158                8.256690e+06                 -2.292973  \n",
       "\n",
       "[2159 rows x 12 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pf[\"Portfolio Daily % Return\"] = 0.0000\n",
    "\n",
    "for i in range(1,len(df)):\n",
    "    df_pf[\"Portfolio Daily % Return\"][i] = ((df_pf[\"Portfolio Daily Worth in $\"][i] - df_pf[\"Portfolio Daily Worth in $\"][i-1]) /  df_pf[\"Portfolio Daily Worth in $\"][i-1]) * 100\n",
    "    \n",
    "df_pf"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
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