Timeseries Analysis on Google Stock Data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "4c895f00",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "2abf1be3",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2004-08-19</td>\n",
       "      <td>50.050049</td>\n",
       "      <td>52.082081</td>\n",
       "      <td>48.028027</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>44659096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2004-08-20</td>\n",
       "      <td>50.555557</td>\n",
       "      <td>54.594597</td>\n",
       "      <td>50.300301</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>22834343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2004-08-23</td>\n",
       "      <td>55.430431</td>\n",
       "      <td>56.796799</td>\n",
       "      <td>54.579578</td>\n",
       "      <td>54.754753</td>\n",
       "      <td>54.754753</td>\n",
       "      <td>18256126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2004-08-24</td>\n",
       "      <td>55.675674</td>\n",
       "      <td>55.855858</td>\n",
       "      <td>51.836838</td>\n",
       "      <td>52.487488</td>\n",
       "      <td>52.487488</td>\n",
       "      <td>15247337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2004-08-25</td>\n",
       "      <td>52.532532</td>\n",
       "      <td>54.054054</td>\n",
       "      <td>51.991993</td>\n",
       "      <td>53.053055</td>\n",
       "      <td>53.053055</td>\n",
       "      <td>9188602</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date       Open       High        Low      Close  Adj Close    Volume\n",
       "0  2004-08-19  50.050049  52.082081  48.028027  50.220219  50.220219  44659096\n",
       "1  2004-08-20  50.555557  54.594597  50.300301  54.209209  54.209209  22834343\n",
       "2  2004-08-23  55.430431  56.796799  54.579578  54.754753  54.754753  18256126\n",
       "3  2004-08-24  55.675674  55.855858  51.836838  52.487488  52.487488  15247337\n",
       "4  2004-08-25  52.532532  54.054054  51.991993  53.053055  53.053055   9188602"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google = pd.read_csv(\"GOOGLE.csv\")\n",
    "google.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "a2affbce",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4426</th>\n",
       "      <td>2022-03-18</td>\n",
       "      <td>2668.489990</td>\n",
       "      <td>2724.879883</td>\n",
       "      <td>2645.169922</td>\n",
       "      <td>2722.510010</td>\n",
       "      <td>2722.510010</td>\n",
       "      <td>2223100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4427</th>\n",
       "      <td>2022-03-21</td>\n",
       "      <td>2723.270020</td>\n",
       "      <td>2741.000000</td>\n",
       "      <td>2681.850098</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>1341600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4428</th>\n",
       "      <td>2022-03-22</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2821.000000</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2797.360107</td>\n",
       "      <td>2797.360107</td>\n",
       "      <td>1774800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4429</th>\n",
       "      <td>2022-03-23</td>\n",
       "      <td>2774.050049</td>\n",
       "      <td>2791.770020</td>\n",
       "      <td>2756.699951</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>1257700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4430</th>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>2784.000000</td>\n",
       "      <td>2832.379883</td>\n",
       "      <td>2755.010010</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>1317900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date         Open         High          Low        Close  \\\n",
       "4426  2022-03-18  2668.489990  2724.879883  2645.169922  2722.510010   \n",
       "4427  2022-03-21  2723.270020  2741.000000  2681.850098  2722.030029   \n",
       "4428  2022-03-22  2722.030029  2821.000000  2722.030029  2797.360107   \n",
       "4429  2022-03-23  2774.050049  2791.770020  2756.699951  2765.510010   \n",
       "4430  2022-03-24  2784.000000  2832.379883  2755.010010  2831.439941   \n",
       "\n",
       "        Adj Close   Volume  \n",
       "4426  2722.510010  2223100  \n",
       "4427  2722.030029  1341600  \n",
       "4428  2797.360107  1774800  \n",
       "4429  2765.510010  1257700  \n",
       "4430  2831.439941  1317900  "
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.tail()\n",
    "# data is from 2004 to 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "36769e65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4431 entries, 0 to 4430\n",
      "Data columns (total 7 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   Date       4431 non-null   object \n",
      " 1   Open       4431 non-null   float64\n",
      " 2   High       4431 non-null   float64\n",
      " 3   Low        4431 non-null   float64\n",
      " 4   Close      4431 non-null   float64\n",
      " 5   Adj Close  4431 non-null   float64\n",
      " 6   Volume     4431 non-null   int64  \n",
      "dtypes: float64(5), int64(1), object(1)\n",
      "memory usage: 242.4+ KB\n"
     ]
    }
   ],
   "source": [
    "google.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "58751d00",
   "metadata": {},
   "outputs": [],
   "source": [
    "#convert 'Date' to datetime format\n",
    "\n",
    "google['Date'] = pd.to_datetime(google['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "ec6037af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4431 entries, 0 to 4430\n",
      "Data columns (total 7 columns):\n",
      " #   Column     Non-Null Count  Dtype         \n",
      "---  ------     --------------  -----         \n",
      " 0   Date       4431 non-null   datetime64[ns]\n",
      " 1   Open       4431 non-null   float64       \n",
      " 2   High       4431 non-null   float64       \n",
      " 3   Low        4431 non-null   float64       \n",
      " 4   Close      4431 non-null   float64       \n",
      " 5   Adj Close  4431 non-null   float64       \n",
      " 6   Volume     4431 non-null   int64         \n",
      "dtypes: datetime64[ns](1), float64(5), int64(1)\n",
      "memory usage: 242.4 KB\n"
     ]
    }
   ],
   "source": [
    "google.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "9103bc98",
   "metadata": {},
   "outputs": [],
   "source": [
    "# set Date as index\n",
    "\n",
    "google.set_index('Date',inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "bb3e8699",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-08-19</th>\n",
       "      <td>50.050049</td>\n",
       "      <td>52.082081</td>\n",
       "      <td>48.028027</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>44659096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-20</th>\n",
       "      <td>50.555557</td>\n",
       "      <td>54.594597</td>\n",
       "      <td>50.300301</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>22834343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-23</th>\n",
       "      <td>55.430431</td>\n",
       "      <td>56.796799</td>\n",
       "      <td>54.579578</td>\n",
       "      <td>54.754753</td>\n",
       "      <td>54.754753</td>\n",
       "      <td>18256126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-24</th>\n",
       "      <td>55.675674</td>\n",
       "      <td>55.855858</td>\n",
       "      <td>51.836838</td>\n",
       "      <td>52.487488</td>\n",
       "      <td>52.487488</td>\n",
       "      <td>15247337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-25</th>\n",
       "      <td>52.532532</td>\n",
       "      <td>54.054054</td>\n",
       "      <td>51.991993</td>\n",
       "      <td>53.053055</td>\n",
       "      <td>53.053055</td>\n",
       "      <td>9188602</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close  Adj Close    Volume\n",
       "Date                                                                       \n",
       "2004-08-19  50.050049  52.082081  48.028027  50.220219  50.220219  44659096\n",
       "2004-08-20  50.555557  54.594597  50.300301  54.209209  54.209209  22834343\n",
       "2004-08-23  55.430431  56.796799  54.579578  54.754753  54.754753  18256126\n",
       "2004-08-24  55.675674  55.855858  51.836838  52.487488  52.487488  15247337\n",
       "2004-08-25  52.532532  54.054054  51.991993  53.053055  53.053055   9188602"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "09fc9c55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Open         2.888400e+03\n",
       "High         2.889990e+03\n",
       "Low          2.753760e+03\n",
       "Close        2.755500e+03\n",
       "Adj Close    2.755500e+03\n",
       "Volume       2.730900e+06\n",
       "Name: 2022-01-05 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what is the statistic on a particular date?\n",
    "\n",
    "google.loc['2022-01-05']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "25eb279a",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-01-03</th>\n",
       "      <td>2901.100098</td>\n",
       "      <td>2917.020020</td>\n",
       "      <td>2874.260010</td>\n",
       "      <td>2899.830078</td>\n",
       "      <td>2899.830078</td>\n",
       "      <td>1432300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-04</th>\n",
       "      <td>2907.919922</td>\n",
       "      <td>2929.699951</td>\n",
       "      <td>2874.330078</td>\n",
       "      <td>2887.989990</td>\n",
       "      <td>2887.989990</td>\n",
       "      <td>1420000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-05</th>\n",
       "      <td>2888.399902</td>\n",
       "      <td>2889.989990</td>\n",
       "      <td>2753.760010</td>\n",
       "      <td>2755.500000</td>\n",
       "      <td>2755.500000</td>\n",
       "      <td>2730900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-06</th>\n",
       "      <td>2739.969971</td>\n",
       "      <td>2798.800049</td>\n",
       "      <td>2731.169922</td>\n",
       "      <td>2754.949951</td>\n",
       "      <td>2754.949951</td>\n",
       "      <td>1867400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-07</th>\n",
       "      <td>2762.909912</td>\n",
       "      <td>2768.969971</td>\n",
       "      <td>2715.330078</td>\n",
       "      <td>2740.340088</td>\n",
       "      <td>2740.340088</td>\n",
       "      <td>1488000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-10</th>\n",
       "      <td>2701.560059</td>\n",
       "      <td>2776.389893</td>\n",
       "      <td>2663.290039</td>\n",
       "      <td>2773.389893</td>\n",
       "      <td>2773.389893</td>\n",
       "      <td>2220400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-11</th>\n",
       "      <td>2760.139893</td>\n",
       "      <td>2804.320068</td>\n",
       "      <td>2733.850098</td>\n",
       "      <td>2794.719971</td>\n",
       "      <td>2794.719971</td>\n",
       "      <td>1436500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-12</th>\n",
       "      <td>2823.000000</td>\n",
       "      <td>2852.159912</td>\n",
       "      <td>2813.889893</td>\n",
       "      <td>2828.610107</td>\n",
       "      <td>2828.610107</td>\n",
       "      <td>1305400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-13</th>\n",
       "      <td>2830.800049</td>\n",
       "      <td>2857.000000</td>\n",
       "      <td>2768.179932</td>\n",
       "      <td>2771.739990</td>\n",
       "      <td>2771.739990</td>\n",
       "      <td>1571800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-14</th>\n",
       "      <td>2741.580078</td>\n",
       "      <td>2814.840088</td>\n",
       "      <td>2739.969971</td>\n",
       "      <td>2789.610107</td>\n",
       "      <td>2789.610107</td>\n",
       "      <td>1483100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-18</th>\n",
       "      <td>2723.500000</td>\n",
       "      <td>2742.629883</td>\n",
       "      <td>2708.770020</td>\n",
       "      <td>2719.959961</td>\n",
       "      <td>2719.959961</td>\n",
       "      <td>1743600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-19</th>\n",
       "      <td>2730.469971</td>\n",
       "      <td>2759.189941</td>\n",
       "      <td>2700.310059</td>\n",
       "      <td>2702.330078</td>\n",
       "      <td>2702.330078</td>\n",
       "      <td>1432400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-20</th>\n",
       "      <td>2725.000000</td>\n",
       "      <td>2752.520020</td>\n",
       "      <td>2659.290039</td>\n",
       "      <td>2666.149902</td>\n",
       "      <td>2666.149902</td>\n",
       "      <td>1495400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-21</th>\n",
       "      <td>2651.870117</td>\n",
       "      <td>2697.310059</td>\n",
       "      <td>2601.729980</td>\n",
       "      <td>2607.030029</td>\n",
       "      <td>2607.030029</td>\n",
       "      <td>2782600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-24</th>\n",
       "      <td>2519.560059</td>\n",
       "      <td>2624.060059</td>\n",
       "      <td>2490.000000</td>\n",
       "      <td>2616.080078</td>\n",
       "      <td>2616.080078</td>\n",
       "      <td>3831100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-25</th>\n",
       "      <td>2574.800049</td>\n",
       "      <td>2587.979980</td>\n",
       "      <td>2530.010010</td>\n",
       "      <td>2538.699951</td>\n",
       "      <td>2538.699951</td>\n",
       "      <td>2348000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-26</th>\n",
       "      <td>2622.379883</td>\n",
       "      <td>2660.000000</td>\n",
       "      <td>2542.840088</td>\n",
       "      <td>2584.659912</td>\n",
       "      <td>2584.659912</td>\n",
       "      <td>2456500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-27</th>\n",
       "      <td>2626.080078</td>\n",
       "      <td>2653.050049</td>\n",
       "      <td>2578.649902</td>\n",
       "      <td>2580.100098</td>\n",
       "      <td>2580.100098</td>\n",
       "      <td>1597500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-28</th>\n",
       "      <td>2593.179932</td>\n",
       "      <td>2667.129883</td>\n",
       "      <td>2569.699951</td>\n",
       "      <td>2667.020020</td>\n",
       "      <td>2667.020020</td>\n",
       "      <td>1718100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-31</th>\n",
       "      <td>2683.239990</td>\n",
       "      <td>2709.459961</td>\n",
       "      <td>2644.189941</td>\n",
       "      <td>2706.070068</td>\n",
       "      <td>2706.070068</td>\n",
       "      <td>1999300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Open         High          Low        Close    Adj Close  \\\n",
       "Date                                                                          \n",
       "2022-01-03  2901.100098  2917.020020  2874.260010  2899.830078  2899.830078   \n",
       "2022-01-04  2907.919922  2929.699951  2874.330078  2887.989990  2887.989990   \n",
       "2022-01-05  2888.399902  2889.989990  2753.760010  2755.500000  2755.500000   \n",
       "2022-01-06  2739.969971  2798.800049  2731.169922  2754.949951  2754.949951   \n",
       "2022-01-07  2762.909912  2768.969971  2715.330078  2740.340088  2740.340088   \n",
       "2022-01-10  2701.560059  2776.389893  2663.290039  2773.389893  2773.389893   \n",
       "2022-01-11  2760.139893  2804.320068  2733.850098  2794.719971  2794.719971   \n",
       "2022-01-12  2823.000000  2852.159912  2813.889893  2828.610107  2828.610107   \n",
       "2022-01-13  2830.800049  2857.000000  2768.179932  2771.739990  2771.739990   \n",
       "2022-01-14  2741.580078  2814.840088  2739.969971  2789.610107  2789.610107   \n",
       "2022-01-18  2723.500000  2742.629883  2708.770020  2719.959961  2719.959961   \n",
       "2022-01-19  2730.469971  2759.189941  2700.310059  2702.330078  2702.330078   \n",
       "2022-01-20  2725.000000  2752.520020  2659.290039  2666.149902  2666.149902   \n",
       "2022-01-21  2651.870117  2697.310059  2601.729980  2607.030029  2607.030029   \n",
       "2022-01-24  2519.560059  2624.060059  2490.000000  2616.080078  2616.080078   \n",
       "2022-01-25  2574.800049  2587.979980  2530.010010  2538.699951  2538.699951   \n",
       "2022-01-26  2622.379883  2660.000000  2542.840088  2584.659912  2584.659912   \n",
       "2022-01-27  2626.080078  2653.050049  2578.649902  2580.100098  2580.100098   \n",
       "2022-01-28  2593.179932  2667.129883  2569.699951  2667.020020  2667.020020   \n",
       "2022-01-31  2683.239990  2709.459961  2644.189941  2706.070068  2706.070068   \n",
       "\n",
       "             Volume  \n",
       "Date                 \n",
       "2022-01-03  1432300  \n",
       "2022-01-04  1420000  \n",
       "2022-01-05  2730900  \n",
       "2022-01-06  1867400  \n",
       "2022-01-07  1488000  \n",
       "2022-01-10  2220400  \n",
       "2022-01-11  1436500  \n",
       "2022-01-12  1305400  \n",
       "2022-01-13  1571800  \n",
       "2022-01-14  1483100  \n",
       "2022-01-18  1743600  \n",
       "2022-01-19  1432400  \n",
       "2022-01-20  1495400  \n",
       "2022-01-21  2782600  \n",
       "2022-01-24  3831100  \n",
       "2022-01-25  2348000  \n",
       "2022-01-26  2456500  \n",
       "2022-01-27  1597500  \n",
       "2022-01-28  1718100  \n",
       "2022-01-31  1999300  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# partial indexing\n",
    "\n",
    "google.loc['2022-01'] #gives all datas in jan 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "bff7fbcd",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-01-03</th>\n",
       "      <td>2901.100098</td>\n",
       "      <td>2917.020020</td>\n",
       "      <td>2874.260010</td>\n",
       "      <td>2899.830078</td>\n",
       "      <td>2899.830078</td>\n",
       "      <td>1432300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-04</th>\n",
       "      <td>2907.919922</td>\n",
       "      <td>2929.699951</td>\n",
       "      <td>2874.330078</td>\n",
       "      <td>2887.989990</td>\n",
       "      <td>2887.989990</td>\n",
       "      <td>1420000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-05</th>\n",
       "      <td>2888.399902</td>\n",
       "      <td>2889.989990</td>\n",
       "      <td>2753.760010</td>\n",
       "      <td>2755.500000</td>\n",
       "      <td>2755.500000</td>\n",
       "      <td>2730900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-06</th>\n",
       "      <td>2739.969971</td>\n",
       "      <td>2798.800049</td>\n",
       "      <td>2731.169922</td>\n",
       "      <td>2754.949951</td>\n",
       "      <td>2754.949951</td>\n",
       "      <td>1867400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-07</th>\n",
       "      <td>2762.909912</td>\n",
       "      <td>2768.969971</td>\n",
       "      <td>2715.330078</td>\n",
       "      <td>2740.340088</td>\n",
       "      <td>2740.340088</td>\n",
       "      <td>1488000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-10</th>\n",
       "      <td>2701.560059</td>\n",
       "      <td>2776.389893</td>\n",
       "      <td>2663.290039</td>\n",
       "      <td>2773.389893</td>\n",
       "      <td>2773.389893</td>\n",
       "      <td>2220400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-11</th>\n",
       "      <td>2760.139893</td>\n",
       "      <td>2804.320068</td>\n",
       "      <td>2733.850098</td>\n",
       "      <td>2794.719971</td>\n",
       "      <td>2794.719971</td>\n",
       "      <td>1436500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-12</th>\n",
       "      <td>2823.000000</td>\n",
       "      <td>2852.159912</td>\n",
       "      <td>2813.889893</td>\n",
       "      <td>2828.610107</td>\n",
       "      <td>2828.610107</td>\n",
       "      <td>1305400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-13</th>\n",
       "      <td>2830.800049</td>\n",
       "      <td>2857.000000</td>\n",
       "      <td>2768.179932</td>\n",
       "      <td>2771.739990</td>\n",
       "      <td>2771.739990</td>\n",
       "      <td>1571800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-14</th>\n",
       "      <td>2741.580078</td>\n",
       "      <td>2814.840088</td>\n",
       "      <td>2739.969971</td>\n",
       "      <td>2789.610107</td>\n",
       "      <td>2789.610107</td>\n",
       "      <td>1483100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-18</th>\n",
       "      <td>2723.500000</td>\n",
       "      <td>2742.629883</td>\n",
       "      <td>2708.770020</td>\n",
       "      <td>2719.959961</td>\n",
       "      <td>2719.959961</td>\n",
       "      <td>1743600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-19</th>\n",
       "      <td>2730.469971</td>\n",
       "      <td>2759.189941</td>\n",
       "      <td>2700.310059</td>\n",
       "      <td>2702.330078</td>\n",
       "      <td>2702.330078</td>\n",
       "      <td>1432400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-20</th>\n",
       "      <td>2725.000000</td>\n",
       "      <td>2752.520020</td>\n",
       "      <td>2659.290039</td>\n",
       "      <td>2666.149902</td>\n",
       "      <td>2666.149902</td>\n",
       "      <td>1495400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-21</th>\n",
       "      <td>2651.870117</td>\n",
       "      <td>2697.310059</td>\n",
       "      <td>2601.729980</td>\n",
       "      <td>2607.030029</td>\n",
       "      <td>2607.030029</td>\n",
       "      <td>2782600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-24</th>\n",
       "      <td>2519.560059</td>\n",
       "      <td>2624.060059</td>\n",
       "      <td>2490.000000</td>\n",
       "      <td>2616.080078</td>\n",
       "      <td>2616.080078</td>\n",
       "      <td>3831100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-25</th>\n",
       "      <td>2574.800049</td>\n",
       "      <td>2587.979980</td>\n",
       "      <td>2530.010010</td>\n",
       "      <td>2538.699951</td>\n",
       "      <td>2538.699951</td>\n",
       "      <td>2348000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-26</th>\n",
       "      <td>2622.379883</td>\n",
       "      <td>2660.000000</td>\n",
       "      <td>2542.840088</td>\n",
       "      <td>2584.659912</td>\n",
       "      <td>2584.659912</td>\n",
       "      <td>2456500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-27</th>\n",
       "      <td>2626.080078</td>\n",
       "      <td>2653.050049</td>\n",
       "      <td>2578.649902</td>\n",
       "      <td>2580.100098</td>\n",
       "      <td>2580.100098</td>\n",
       "      <td>1597500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-28</th>\n",
       "      <td>2593.179932</td>\n",
       "      <td>2667.129883</td>\n",
       "      <td>2569.699951</td>\n",
       "      <td>2667.020020</td>\n",
       "      <td>2667.020020</td>\n",
       "      <td>1718100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-31</th>\n",
       "      <td>2683.239990</td>\n",
       "      <td>2709.459961</td>\n",
       "      <td>2644.189941</td>\n",
       "      <td>2706.070068</td>\n",
       "      <td>2706.070068</td>\n",
       "      <td>1999300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-01</th>\n",
       "      <td>2751.889893</td>\n",
       "      <td>2755.860107</td>\n",
       "      <td>2687.370117</td>\n",
       "      <td>2752.879883</td>\n",
       "      <td>2752.879883</td>\n",
       "      <td>3432200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-02</th>\n",
       "      <td>3025.000000</td>\n",
       "      <td>3030.929932</td>\n",
       "      <td>2910.449951</td>\n",
       "      <td>2960.000000</td>\n",
       "      <td>2960.000000</td>\n",
       "      <td>6160000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-03</th>\n",
       "      <td>2914.110107</td>\n",
       "      <td>2993.500000</td>\n",
       "      <td>2853.310059</td>\n",
       "      <td>2861.800049</td>\n",
       "      <td>2861.800049</td>\n",
       "      <td>3575900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-04</th>\n",
       "      <td>2868.889893</td>\n",
       "      <td>2897.500000</td>\n",
       "      <td>2810.300049</td>\n",
       "      <td>2865.860107</td>\n",
       "      <td>2865.860107</td>\n",
       "      <td>2899900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-07</th>\n",
       "      <td>2885.000000</td>\n",
       "      <td>2885.000000</td>\n",
       "      <td>2778.000000</td>\n",
       "      <td>2784.020020</td>\n",
       "      <td>2784.020020</td>\n",
       "      <td>2748700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-08</th>\n",
       "      <td>2780.530029</td>\n",
       "      <td>2800.000000</td>\n",
       "      <td>2740.280029</td>\n",
       "      <td>2787.979980</td>\n",
       "      <td>2787.979980</td>\n",
       "      <td>2714200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-09</th>\n",
       "      <td>2819.270020</td>\n",
       "      <td>2850.489990</td>\n",
       "      <td>2803.739990</td>\n",
       "      <td>2831.840088</td>\n",
       "      <td>2831.840088</td>\n",
       "      <td>2007200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-10</th>\n",
       "      <td>2794.070068</td>\n",
       "      <td>2829.689941</td>\n",
       "      <td>2759.139893</td>\n",
       "      <td>2772.399902</td>\n",
       "      <td>2772.399902</td>\n",
       "      <td>1966500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-11</th>\n",
       "      <td>2772.000000</td>\n",
       "      <td>2783.129883</td>\n",
       "      <td>2668.000000</td>\n",
       "      <td>2685.649902</td>\n",
       "      <td>2685.649902</td>\n",
       "      <td>1997900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-14</th>\n",
       "      <td>2665.129883</td>\n",
       "      <td>2726.000000</td>\n",
       "      <td>2665.129883</td>\n",
       "      <td>2710.520020</td>\n",
       "      <td>2710.520020</td>\n",
       "      <td>1715100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-15</th>\n",
       "      <td>2751.409912</td>\n",
       "      <td>2762.169922</td>\n",
       "      <td>2716.429932</td>\n",
       "      <td>2732.169922</td>\n",
       "      <td>2732.169922</td>\n",
       "      <td>1334000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-16</th>\n",
       "      <td>2732.929932</td>\n",
       "      <td>2761.719971</td>\n",
       "      <td>2698.479980</td>\n",
       "      <td>2754.760010</td>\n",
       "      <td>2754.760010</td>\n",
       "      <td>1251100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-17</th>\n",
       "      <td>2724.860107</td>\n",
       "      <td>2742.270020</td>\n",
       "      <td>2649.570068</td>\n",
       "      <td>2650.780029</td>\n",
       "      <td>2650.780029</td>\n",
       "      <td>1947500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-18</th>\n",
       "      <td>2669.340088</td>\n",
       "      <td>2681.399902</td>\n",
       "      <td>2603.929932</td>\n",
       "      <td>2608.060059</td>\n",
       "      <td>2608.060059</td>\n",
       "      <td>2281000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-22</th>\n",
       "      <td>2596.760010</td>\n",
       "      <td>2643.610107</td>\n",
       "      <td>2564.469971</td>\n",
       "      <td>2596.270020</td>\n",
       "      <td>2596.270020</td>\n",
       "      <td>2249500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-23</th>\n",
       "      <td>2632.969971</td>\n",
       "      <td>2641.020020</td>\n",
       "      <td>2550.550049</td>\n",
       "      <td>2551.760010</td>\n",
       "      <td>2551.760010</td>\n",
       "      <td>1639300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-24</th>\n",
       "      <td>2499.070068</td>\n",
       "      <td>2660.000000</td>\n",
       "      <td>2499.070068</td>\n",
       "      <td>2653.820068</td>\n",
       "      <td>2653.820068</td>\n",
       "      <td>2722800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-25</th>\n",
       "      <td>2671.040039</td>\n",
       "      <td>2705.429932</td>\n",
       "      <td>2635.030029</td>\n",
       "      <td>2689.189941</td>\n",
       "      <td>2689.189941</td>\n",
       "      <td>1820300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-02-28</th>\n",
       "      <td>2661.000000</td>\n",
       "      <td>2715.030029</td>\n",
       "      <td>2651.850098</td>\n",
       "      <td>2701.139893</td>\n",
       "      <td>2701.139893</td>\n",
       "      <td>1939400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-01</th>\n",
       "      <td>2697.570068</td>\n",
       "      <td>2725.110107</td>\n",
       "      <td>2664.370117</td>\n",
       "      <td>2681.229980</td>\n",
       "      <td>2681.229980</td>\n",
       "      <td>1324800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-02</th>\n",
       "      <td>2692.560059</td>\n",
       "      <td>2705.250000</td>\n",
       "      <td>2661.429932</td>\n",
       "      <td>2691.429932</td>\n",
       "      <td>2691.429932</td>\n",
       "      <td>1176000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-03</th>\n",
       "      <td>2720.199951</td>\n",
       "      <td>2728.790039</td>\n",
       "      <td>2660.510010</td>\n",
       "      <td>2677.989990</td>\n",
       "      <td>2677.989990</td>\n",
       "      <td>1230200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-04</th>\n",
       "      <td>2658.550049</td>\n",
       "      <td>2677.030029</td>\n",
       "      <td>2606.750000</td>\n",
       "      <td>2638.129883</td>\n",
       "      <td>2638.129883</td>\n",
       "      <td>1521500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-07</th>\n",
       "      <td>2629.760010</td>\n",
       "      <td>2634.699951</td>\n",
       "      <td>2525.899902</td>\n",
       "      <td>2527.570068</td>\n",
       "      <td>2527.570068</td>\n",
       "      <td>2255600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-08</th>\n",
       "      <td>2525.000000</td>\n",
       "      <td>2625.000000</td>\n",
       "      <td>2513.489990</td>\n",
       "      <td>2542.090088</td>\n",
       "      <td>2542.090088</td>\n",
       "      <td>2021400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-09</th>\n",
       "      <td>2625.000000</td>\n",
       "      <td>2674.709961</td>\n",
       "      <td>2598.010010</td>\n",
       "      <td>2668.399902</td>\n",
       "      <td>2668.399902</td>\n",
       "      <td>1851300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-10</th>\n",
       "      <td>2625.320068</td>\n",
       "      <td>2665.439941</td>\n",
       "      <td>2618.250000</td>\n",
       "      <td>2648.590088</td>\n",
       "      <td>2648.590088</td>\n",
       "      <td>1355100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-11</th>\n",
       "      <td>2669.770020</td>\n",
       "      <td>2675.909912</td>\n",
       "      <td>2592.629883</td>\n",
       "      <td>2597.409912</td>\n",
       "      <td>2597.409912</td>\n",
       "      <td>1572700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-14</th>\n",
       "      <td>2605.000000</td>\n",
       "      <td>2608.179932</td>\n",
       "      <td>2505.500000</td>\n",
       "      <td>2519.020020</td>\n",
       "      <td>2519.020020</td>\n",
       "      <td>1940600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-15</th>\n",
       "      <td>2539.520020</td>\n",
       "      <td>2597.090088</td>\n",
       "      <td>2514.409912</td>\n",
       "      <td>2583.959961</td>\n",
       "      <td>2583.959961</td>\n",
       "      <td>1546000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-16</th>\n",
       "      <td>2614.659912</td>\n",
       "      <td>2666.659912</td>\n",
       "      <td>2574.689941</td>\n",
       "      <td>2665.610107</td>\n",
       "      <td>2665.610107</td>\n",
       "      <td>1778800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-17</th>\n",
       "      <td>2662.979980</td>\n",
       "      <td>2681.610107</td>\n",
       "      <td>2643.699951</td>\n",
       "      <td>2676.780029</td>\n",
       "      <td>2676.780029</td>\n",
       "      <td>1413200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-18</th>\n",
       "      <td>2668.489990</td>\n",
       "      <td>2724.879883</td>\n",
       "      <td>2645.169922</td>\n",
       "      <td>2722.510010</td>\n",
       "      <td>2722.510010</td>\n",
       "      <td>2223100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-21</th>\n",
       "      <td>2723.270020</td>\n",
       "      <td>2741.000000</td>\n",
       "      <td>2681.850098</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>1341600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-22</th>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2821.000000</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2797.360107</td>\n",
       "      <td>2797.360107</td>\n",
       "      <td>1774800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23</th>\n",
       "      <td>2774.050049</td>\n",
       "      <td>2791.770020</td>\n",
       "      <td>2756.699951</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>1257700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-24</th>\n",
       "      <td>2784.000000</td>\n",
       "      <td>2832.379883</td>\n",
       "      <td>2755.010010</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>1317900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Open         High          Low        Close    Adj Close  \\\n",
       "Date                                                                          \n",
       "2022-01-03  2901.100098  2917.020020  2874.260010  2899.830078  2899.830078   \n",
       "2022-01-04  2907.919922  2929.699951  2874.330078  2887.989990  2887.989990   \n",
       "2022-01-05  2888.399902  2889.989990  2753.760010  2755.500000  2755.500000   \n",
       "2022-01-06  2739.969971  2798.800049  2731.169922  2754.949951  2754.949951   \n",
       "2022-01-07  2762.909912  2768.969971  2715.330078  2740.340088  2740.340088   \n",
       "2022-01-10  2701.560059  2776.389893  2663.290039  2773.389893  2773.389893   \n",
       "2022-01-11  2760.139893  2804.320068  2733.850098  2794.719971  2794.719971   \n",
       "2022-01-12  2823.000000  2852.159912  2813.889893  2828.610107  2828.610107   \n",
       "2022-01-13  2830.800049  2857.000000  2768.179932  2771.739990  2771.739990   \n",
       "2022-01-14  2741.580078  2814.840088  2739.969971  2789.610107  2789.610107   \n",
       "2022-01-18  2723.500000  2742.629883  2708.770020  2719.959961  2719.959961   \n",
       "2022-01-19  2730.469971  2759.189941  2700.310059  2702.330078  2702.330078   \n",
       "2022-01-20  2725.000000  2752.520020  2659.290039  2666.149902  2666.149902   \n",
       "2022-01-21  2651.870117  2697.310059  2601.729980  2607.030029  2607.030029   \n",
       "2022-01-24  2519.560059  2624.060059  2490.000000  2616.080078  2616.080078   \n",
       "2022-01-25  2574.800049  2587.979980  2530.010010  2538.699951  2538.699951   \n",
       "2022-01-26  2622.379883  2660.000000  2542.840088  2584.659912  2584.659912   \n",
       "2022-01-27  2626.080078  2653.050049  2578.649902  2580.100098  2580.100098   \n",
       "2022-01-28  2593.179932  2667.129883  2569.699951  2667.020020  2667.020020   \n",
       "2022-01-31  2683.239990  2709.459961  2644.189941  2706.070068  2706.070068   \n",
       "2022-02-01  2751.889893  2755.860107  2687.370117  2752.879883  2752.879883   \n",
       "2022-02-02  3025.000000  3030.929932  2910.449951  2960.000000  2960.000000   \n",
       "2022-02-03  2914.110107  2993.500000  2853.310059  2861.800049  2861.800049   \n",
       "2022-02-04  2868.889893  2897.500000  2810.300049  2865.860107  2865.860107   \n",
       "2022-02-07  2885.000000  2885.000000  2778.000000  2784.020020  2784.020020   \n",
       "2022-02-08  2780.530029  2800.000000  2740.280029  2787.979980  2787.979980   \n",
       "2022-02-09  2819.270020  2850.489990  2803.739990  2831.840088  2831.840088   \n",
       "2022-02-10  2794.070068  2829.689941  2759.139893  2772.399902  2772.399902   \n",
       "2022-02-11  2772.000000  2783.129883  2668.000000  2685.649902  2685.649902   \n",
       "2022-02-14  2665.129883  2726.000000  2665.129883  2710.520020  2710.520020   \n",
       "2022-02-15  2751.409912  2762.169922  2716.429932  2732.169922  2732.169922   \n",
       "2022-02-16  2732.929932  2761.719971  2698.479980  2754.760010  2754.760010   \n",
       "2022-02-17  2724.860107  2742.270020  2649.570068  2650.780029  2650.780029   \n",
       "2022-02-18  2669.340088  2681.399902  2603.929932  2608.060059  2608.060059   \n",
       "2022-02-22  2596.760010  2643.610107  2564.469971  2596.270020  2596.270020   \n",
       "2022-02-23  2632.969971  2641.020020  2550.550049  2551.760010  2551.760010   \n",
       "2022-02-24  2499.070068  2660.000000  2499.070068  2653.820068  2653.820068   \n",
       "2022-02-25  2671.040039  2705.429932  2635.030029  2689.189941  2689.189941   \n",
       "2022-02-28  2661.000000  2715.030029  2651.850098  2701.139893  2701.139893   \n",
       "2022-03-01  2697.570068  2725.110107  2664.370117  2681.229980  2681.229980   \n",
       "2022-03-02  2692.560059  2705.250000  2661.429932  2691.429932  2691.429932   \n",
       "2022-03-03  2720.199951  2728.790039  2660.510010  2677.989990  2677.989990   \n",
       "2022-03-04  2658.550049  2677.030029  2606.750000  2638.129883  2638.129883   \n",
       "2022-03-07  2629.760010  2634.699951  2525.899902  2527.570068  2527.570068   \n",
       "2022-03-08  2525.000000  2625.000000  2513.489990  2542.090088  2542.090088   \n",
       "2022-03-09  2625.000000  2674.709961  2598.010010  2668.399902  2668.399902   \n",
       "2022-03-10  2625.320068  2665.439941  2618.250000  2648.590088  2648.590088   \n",
       "2022-03-11  2669.770020  2675.909912  2592.629883  2597.409912  2597.409912   \n",
       "2022-03-14  2605.000000  2608.179932  2505.500000  2519.020020  2519.020020   \n",
       "2022-03-15  2539.520020  2597.090088  2514.409912  2583.959961  2583.959961   \n",
       "2022-03-16  2614.659912  2666.659912  2574.689941  2665.610107  2665.610107   \n",
       "2022-03-17  2662.979980  2681.610107  2643.699951  2676.780029  2676.780029   \n",
       "2022-03-18  2668.489990  2724.879883  2645.169922  2722.510010  2722.510010   \n",
       "2022-03-21  2723.270020  2741.000000  2681.850098  2722.030029  2722.030029   \n",
       "2022-03-22  2722.030029  2821.000000  2722.030029  2797.360107  2797.360107   \n",
       "2022-03-23  2774.050049  2791.770020  2756.699951  2765.510010  2765.510010   \n",
       "2022-03-24  2784.000000  2832.379883  2755.010010  2831.439941  2831.439941   \n",
       "\n",
       "             Volume  \n",
       "Date                 \n",
       "2022-01-03  1432300  \n",
       "2022-01-04  1420000  \n",
       "2022-01-05  2730900  \n",
       "2022-01-06  1867400  \n",
       "2022-01-07  1488000  \n",
       "2022-01-10  2220400  \n",
       "2022-01-11  1436500  \n",
       "2022-01-12  1305400  \n",
       "2022-01-13  1571800  \n",
       "2022-01-14  1483100  \n",
       "2022-01-18  1743600  \n",
       "2022-01-19  1432400  \n",
       "2022-01-20  1495400  \n",
       "2022-01-21  2782600  \n",
       "2022-01-24  3831100  \n",
       "2022-01-25  2348000  \n",
       "2022-01-26  2456500  \n",
       "2022-01-27  1597500  \n",
       "2022-01-28  1718100  \n",
       "2022-01-31  1999300  \n",
       "2022-02-01  3432200  \n",
       "2022-02-02  6160000  \n",
       "2022-02-03  3575900  \n",
       "2022-02-04  2899900  \n",
       "2022-02-07  2748700  \n",
       "2022-02-08  2714200  \n",
       "2022-02-09  2007200  \n",
       "2022-02-10  1966500  \n",
       "2022-02-11  1997900  \n",
       "2022-02-14  1715100  \n",
       "2022-02-15  1334000  \n",
       "2022-02-16  1251100  \n",
       "2022-02-17  1947500  \n",
       "2022-02-18  2281000  \n",
       "2022-02-22  2249500  \n",
       "2022-02-23  1639300  \n",
       "2022-02-24  2722800  \n",
       "2022-02-25  1820300  \n",
       "2022-02-28  1939400  \n",
       "2022-03-01  1324800  \n",
       "2022-03-02  1176000  \n",
       "2022-03-03  1230200  \n",
       "2022-03-04  1521500  \n",
       "2022-03-07  2255600  \n",
       "2022-03-08  2021400  \n",
       "2022-03-09  1851300  \n",
       "2022-03-10  1355100  \n",
       "2022-03-11  1572700  \n",
       "2022-03-14  1940600  \n",
       "2022-03-15  1546000  \n",
       "2022-03-16  1778800  \n",
       "2022-03-17  1413200  \n",
       "2022-03-18  2223100  \n",
       "2022-03-21  1341600  \n",
       "2022-03-22  1774800  \n",
       "2022-03-23  1257700  \n",
       "2022-03-24  1317900  "
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.loc['2022'] # gives all data of year 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "2d528167",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['August', 'August', 'August', 'August', 'August', 'August', 'August',\n",
       "       'August', 'August', 'September',\n",
       "       ...\n",
       "       'March', 'March', 'March', 'March', 'March', 'March', 'March', 'March',\n",
       "       'March', 'March'],\n",
       "      dtype='object', name='Date', length=4431)"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.index.month_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "b8f4e49d",
   "metadata": {},
   "outputs": [],
   "source": [
    "google['month_name'] = google.index.month_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "3cc9cb8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "google['weekday_name'] = google.index.day_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "f7d4fea4",
   "metadata": {},
   "outputs": [],
   "source": [
    "google['quarter'] = google.index.quarter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "4a0a0094",
   "metadata": {},
   "outputs": [],
   "source": [
    "google['year'] = google.index.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "13d6db3a",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>month_name</th>\n",
       "      <th>weekday_name</th>\n",
       "      <th>quarter</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-08-19</th>\n",
       "      <td>50.050049</td>\n",
       "      <td>52.082081</td>\n",
       "      <td>48.028027</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>44659096</td>\n",
       "      <td>August</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>3</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-20</th>\n",
       "      <td>50.555557</td>\n",
       "      <td>54.594597</td>\n",
       "      <td>50.300301</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>22834343</td>\n",
       "      <td>August</td>\n",
       "      <td>Friday</td>\n",
       "      <td>3</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-23</th>\n",
       "      <td>55.430431</td>\n",
       "      <td>56.796799</td>\n",
       "      <td>54.579578</td>\n",
       "      <td>54.754753</td>\n",
       "      <td>54.754753</td>\n",
       "      <td>18256126</td>\n",
       "      <td>August</td>\n",
       "      <td>Monday</td>\n",
       "      <td>3</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-24</th>\n",
       "      <td>55.675674</td>\n",
       "      <td>55.855858</td>\n",
       "      <td>51.836838</td>\n",
       "      <td>52.487488</td>\n",
       "      <td>52.487488</td>\n",
       "      <td>15247337</td>\n",
       "      <td>August</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>3</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-25</th>\n",
       "      <td>52.532532</td>\n",
       "      <td>54.054054</td>\n",
       "      <td>51.991993</td>\n",
       "      <td>53.053055</td>\n",
       "      <td>53.053055</td>\n",
       "      <td>9188602</td>\n",
       "      <td>August</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>3</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close  Adj Close    Volume  \\\n",
       "Date                                                                          \n",
       "2004-08-19  50.050049  52.082081  48.028027  50.220219  50.220219  44659096   \n",
       "2004-08-20  50.555557  54.594597  50.300301  54.209209  54.209209  22834343   \n",
       "2004-08-23  55.430431  56.796799  54.579578  54.754753  54.754753  18256126   \n",
       "2004-08-24  55.675674  55.855858  51.836838  52.487488  52.487488  15247337   \n",
       "2004-08-25  52.532532  54.054054  51.991993  53.053055  53.053055   9188602   \n",
       "\n",
       "           month_name weekday_name  quarter  year  \n",
       "Date                                               \n",
       "2004-08-19     August     Thursday        3  2004  \n",
       "2004-08-20     August       Friday        3  2004  \n",
       "2004-08-23     August       Monday        3  2004  \n",
       "2004-08-24     August      Tuesday        3  2004  \n",
       "2004-08-25     August    Wednesday        3  2004  "
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.head() # created new columns for month,weeday,quarter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "37396e92",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>month_name</th>\n",
       "      <th>weekday_name</th>\n",
       "      <th>quarter</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-01-03</th>\n",
       "      <td>2901.100098</td>\n",
       "      <td>2917.020020</td>\n",
       "      <td>2874.260010</td>\n",
       "      <td>2899.830078</td>\n",
       "      <td>2899.830078</td>\n",
       "      <td>1432300</td>\n",
       "      <td>January</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-04</th>\n",
       "      <td>2907.919922</td>\n",
       "      <td>2929.699951</td>\n",
       "      <td>2874.330078</td>\n",
       "      <td>2887.989990</td>\n",
       "      <td>2887.989990</td>\n",
       "      <td>1420000</td>\n",
       "      <td>January</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-05</th>\n",
       "      <td>2888.399902</td>\n",
       "      <td>2889.989990</td>\n",
       "      <td>2753.760010</td>\n",
       "      <td>2755.500000</td>\n",
       "      <td>2755.500000</td>\n",
       "      <td>2730900</td>\n",
       "      <td>January</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-06</th>\n",
       "      <td>2739.969971</td>\n",
       "      <td>2798.800049</td>\n",
       "      <td>2731.169922</td>\n",
       "      <td>2754.949951</td>\n",
       "      <td>2754.949951</td>\n",
       "      <td>1867400</td>\n",
       "      <td>January</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-07</th>\n",
       "      <td>2762.909912</td>\n",
       "      <td>2768.969971</td>\n",
       "      <td>2715.330078</td>\n",
       "      <td>2740.340088</td>\n",
       "      <td>2740.340088</td>\n",
       "      <td>1488000</td>\n",
       "      <td>January</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-10</th>\n",
       "      <td>2701.560059</td>\n",
       "      <td>2776.389893</td>\n",
       "      <td>2663.290039</td>\n",
       "      <td>2773.389893</td>\n",
       "      <td>2773.389893</td>\n",
       "      <td>2220400</td>\n",
       "      <td>January</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-11</th>\n",
       "      <td>2760.139893</td>\n",
       "      <td>2804.320068</td>\n",
       "      <td>2733.850098</td>\n",
       "      <td>2794.719971</td>\n",
       "      <td>2794.719971</td>\n",
       "      <td>1436500</td>\n",
       "      <td>January</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-12</th>\n",
       "      <td>2823.000000</td>\n",
       "      <td>2852.159912</td>\n",
       "      <td>2813.889893</td>\n",
       "      <td>2828.610107</td>\n",
       "      <td>2828.610107</td>\n",
       "      <td>1305400</td>\n",
       "      <td>January</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-13</th>\n",
       "      <td>2830.800049</td>\n",
       "      <td>2857.000000</td>\n",
       "      <td>2768.179932</td>\n",
       "      <td>2771.739990</td>\n",
       "      <td>2771.739990</td>\n",
       "      <td>1571800</td>\n",
       "      <td>January</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-14</th>\n",
       "      <td>2741.580078</td>\n",
       "      <td>2814.840088</td>\n",
       "      <td>2739.969971</td>\n",
       "      <td>2789.610107</td>\n",
       "      <td>2789.610107</td>\n",
       "      <td>1483100</td>\n",
       "      <td>January</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-18</th>\n",
       "      <td>2723.500000</td>\n",
       "      <td>2742.629883</td>\n",
       "      <td>2708.770020</td>\n",
       "      <td>2719.959961</td>\n",
       "      <td>2719.959961</td>\n",
       "      <td>1743600</td>\n",
       "      <td>January</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-19</th>\n",
       "      <td>2730.469971</td>\n",
       "      <td>2759.189941</td>\n",
       "      <td>2700.310059</td>\n",
       "      <td>2702.330078</td>\n",
       "      <td>2702.330078</td>\n",
       "      <td>1432400</td>\n",
       "      <td>January</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-20</th>\n",
       "      <td>2725.000000</td>\n",
       "      <td>2752.520020</td>\n",
       "      <td>2659.290039</td>\n",
       "      <td>2666.149902</td>\n",
       "      <td>2666.149902</td>\n",
       "      <td>1495400</td>\n",
       "      <td>January</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-21</th>\n",
       "      <td>2651.870117</td>\n",
       "      <td>2697.310059</td>\n",
       "      <td>2601.729980</td>\n",
       "      <td>2607.030029</td>\n",
       "      <td>2607.030029</td>\n",
       "      <td>2782600</td>\n",
       "      <td>January</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-24</th>\n",
       "      <td>2519.560059</td>\n",
       "      <td>2624.060059</td>\n",
       "      <td>2490.000000</td>\n",
       "      <td>2616.080078</td>\n",
       "      <td>2616.080078</td>\n",
       "      <td>3831100</td>\n",
       "      <td>January</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-25</th>\n",
       "      <td>2574.800049</td>\n",
       "      <td>2587.979980</td>\n",
       "      <td>2530.010010</td>\n",
       "      <td>2538.699951</td>\n",
       "      <td>2538.699951</td>\n",
       "      <td>2348000</td>\n",
       "      <td>January</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-26</th>\n",
       "      <td>2622.379883</td>\n",
       "      <td>2660.000000</td>\n",
       "      <td>2542.840088</td>\n",
       "      <td>2584.659912</td>\n",
       "      <td>2584.659912</td>\n",
       "      <td>2456500</td>\n",
       "      <td>January</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-27</th>\n",
       "      <td>2626.080078</td>\n",
       "      <td>2653.050049</td>\n",
       "      <td>2578.649902</td>\n",
       "      <td>2580.100098</td>\n",
       "      <td>2580.100098</td>\n",
       "      <td>1597500</td>\n",
       "      <td>January</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-28</th>\n",
       "      <td>2593.179932</td>\n",
       "      <td>2667.129883</td>\n",
       "      <td>2569.699951</td>\n",
       "      <td>2667.020020</td>\n",
       "      <td>2667.020020</td>\n",
       "      <td>1718100</td>\n",
       "      <td>January</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-31</th>\n",
       "      <td>2683.239990</td>\n",
       "      <td>2709.459961</td>\n",
       "      <td>2644.189941</td>\n",
       "      <td>2706.070068</td>\n",
       "      <td>2706.070068</td>\n",
       "      <td>1999300</td>\n",
       "      <td>January</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Open         High          Low        Close    Adj Close  \\\n",
       "Date                                                                          \n",
       "2022-01-03  2901.100098  2917.020020  2874.260010  2899.830078  2899.830078   \n",
       "2022-01-04  2907.919922  2929.699951  2874.330078  2887.989990  2887.989990   \n",
       "2022-01-05  2888.399902  2889.989990  2753.760010  2755.500000  2755.500000   \n",
       "2022-01-06  2739.969971  2798.800049  2731.169922  2754.949951  2754.949951   \n",
       "2022-01-07  2762.909912  2768.969971  2715.330078  2740.340088  2740.340088   \n",
       "2022-01-10  2701.560059  2776.389893  2663.290039  2773.389893  2773.389893   \n",
       "2022-01-11  2760.139893  2804.320068  2733.850098  2794.719971  2794.719971   \n",
       "2022-01-12  2823.000000  2852.159912  2813.889893  2828.610107  2828.610107   \n",
       "2022-01-13  2830.800049  2857.000000  2768.179932  2771.739990  2771.739990   \n",
       "2022-01-14  2741.580078  2814.840088  2739.969971  2789.610107  2789.610107   \n",
       "2022-01-18  2723.500000  2742.629883  2708.770020  2719.959961  2719.959961   \n",
       "2022-01-19  2730.469971  2759.189941  2700.310059  2702.330078  2702.330078   \n",
       "2022-01-20  2725.000000  2752.520020  2659.290039  2666.149902  2666.149902   \n",
       "2022-01-21  2651.870117  2697.310059  2601.729980  2607.030029  2607.030029   \n",
       "2022-01-24  2519.560059  2624.060059  2490.000000  2616.080078  2616.080078   \n",
       "2022-01-25  2574.800049  2587.979980  2530.010010  2538.699951  2538.699951   \n",
       "2022-01-26  2622.379883  2660.000000  2542.840088  2584.659912  2584.659912   \n",
       "2022-01-27  2626.080078  2653.050049  2578.649902  2580.100098  2580.100098   \n",
       "2022-01-28  2593.179932  2667.129883  2569.699951  2667.020020  2667.020020   \n",
       "2022-01-31  2683.239990  2709.459961  2644.189941  2706.070068  2706.070068   \n",
       "\n",
       "             Volume month_name weekday_name  quarter  year  \n",
       "Date                                                        \n",
       "2022-01-03  1432300    January       Monday        1  2022  \n",
       "2022-01-04  1420000    January      Tuesday        1  2022  \n",
       "2022-01-05  2730900    January    Wednesday        1  2022  \n",
       "2022-01-06  1867400    January     Thursday        1  2022  \n",
       "2022-01-07  1488000    January       Friday        1  2022  \n",
       "2022-01-10  2220400    January       Monday        1  2022  \n",
       "2022-01-11  1436500    January      Tuesday        1  2022  \n",
       "2022-01-12  1305400    January    Wednesday        1  2022  \n",
       "2022-01-13  1571800    January     Thursday        1  2022  \n",
       "2022-01-14  1483100    January       Friday        1  2022  \n",
       "2022-01-18  1743600    January      Tuesday        1  2022  \n",
       "2022-01-19  1432400    January    Wednesday        1  2022  \n",
       "2022-01-20  1495400    January     Thursday        1  2022  \n",
       "2022-01-21  2782600    January       Friday        1  2022  \n",
       "2022-01-24  3831100    January       Monday        1  2022  \n",
       "2022-01-25  2348000    January      Tuesday        1  2022  \n",
       "2022-01-26  2456500    January    Wednesday        1  2022  \n",
       "2022-01-27  1597500    January     Thursday        1  2022  \n",
       "2022-01-28  1718100    January       Friday        1  2022  \n",
       "2022-01-31  1999300    January       Monday        1  2022  "
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#slicing\n",
    "\n",
    "google.loc['2022-01-01':'2022-01-31']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "93109a5a",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>month_name</th>\n",
       "      <th>weekday_name</th>\n",
       "      <th>quarter</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-01-03</th>\n",
       "      <td>2901.100098</td>\n",
       "      <td>2917.020020</td>\n",
       "      <td>2874.260010</td>\n",
       "      <td>2899.830078</td>\n",
       "      <td>2899.830078</td>\n",
       "      <td>1432300</td>\n",
       "      <td>January</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-05</th>\n",
       "      <td>2888.399902</td>\n",
       "      <td>2889.989990</td>\n",
       "      <td>2753.760010</td>\n",
       "      <td>2755.500000</td>\n",
       "      <td>2755.500000</td>\n",
       "      <td>2730900</td>\n",
       "      <td>January</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-07</th>\n",
       "      <td>2762.909912</td>\n",
       "      <td>2768.969971</td>\n",
       "      <td>2715.330078</td>\n",
       "      <td>2740.340088</td>\n",
       "      <td>2740.340088</td>\n",
       "      <td>1488000</td>\n",
       "      <td>January</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-11</th>\n",
       "      <td>2760.139893</td>\n",
       "      <td>2804.320068</td>\n",
       "      <td>2733.850098</td>\n",
       "      <td>2794.719971</td>\n",
       "      <td>2794.719971</td>\n",
       "      <td>1436500</td>\n",
       "      <td>January</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-13</th>\n",
       "      <td>2830.800049</td>\n",
       "      <td>2857.000000</td>\n",
       "      <td>2768.179932</td>\n",
       "      <td>2771.739990</td>\n",
       "      <td>2771.739990</td>\n",
       "      <td>1571800</td>\n",
       "      <td>January</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-18</th>\n",
       "      <td>2723.500000</td>\n",
       "      <td>2742.629883</td>\n",
       "      <td>2708.770020</td>\n",
       "      <td>2719.959961</td>\n",
       "      <td>2719.959961</td>\n",
       "      <td>1743600</td>\n",
       "      <td>January</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-20</th>\n",
       "      <td>2725.000000</td>\n",
       "      <td>2752.520020</td>\n",
       "      <td>2659.290039</td>\n",
       "      <td>2666.149902</td>\n",
       "      <td>2666.149902</td>\n",
       "      <td>1495400</td>\n",
       "      <td>January</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-24</th>\n",
       "      <td>2519.560059</td>\n",
       "      <td>2624.060059</td>\n",
       "      <td>2490.000000</td>\n",
       "      <td>2616.080078</td>\n",
       "      <td>2616.080078</td>\n",
       "      <td>3831100</td>\n",
       "      <td>January</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-26</th>\n",
       "      <td>2622.379883</td>\n",
       "      <td>2660.000000</td>\n",
       "      <td>2542.840088</td>\n",
       "      <td>2584.659912</td>\n",
       "      <td>2584.659912</td>\n",
       "      <td>2456500</td>\n",
       "      <td>January</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-28</th>\n",
       "      <td>2593.179932</td>\n",
       "      <td>2667.129883</td>\n",
       "      <td>2569.699951</td>\n",
       "      <td>2667.020020</td>\n",
       "      <td>2667.020020</td>\n",
       "      <td>1718100</td>\n",
       "      <td>January</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Open         High          Low        Close    Adj Close  \\\n",
       "Date                                                                          \n",
       "2022-01-03  2901.100098  2917.020020  2874.260010  2899.830078  2899.830078   \n",
       "2022-01-05  2888.399902  2889.989990  2753.760010  2755.500000  2755.500000   \n",
       "2022-01-07  2762.909912  2768.969971  2715.330078  2740.340088  2740.340088   \n",
       "2022-01-11  2760.139893  2804.320068  2733.850098  2794.719971  2794.719971   \n",
       "2022-01-13  2830.800049  2857.000000  2768.179932  2771.739990  2771.739990   \n",
       "2022-01-18  2723.500000  2742.629883  2708.770020  2719.959961  2719.959961   \n",
       "2022-01-20  2725.000000  2752.520020  2659.290039  2666.149902  2666.149902   \n",
       "2022-01-24  2519.560059  2624.060059  2490.000000  2616.080078  2616.080078   \n",
       "2022-01-26  2622.379883  2660.000000  2542.840088  2584.659912  2584.659912   \n",
       "2022-01-28  2593.179932  2667.129883  2569.699951  2667.020020  2667.020020   \n",
       "\n",
       "             Volume month_name weekday_name  quarter  year  \n",
       "Date                                                        \n",
       "2022-01-03  1432300    January       Monday        1  2022  \n",
       "2022-01-05  2730900    January    Wednesday        1  2022  \n",
       "2022-01-07  1488000    January       Friday        1  2022  \n",
       "2022-01-11  1436500    January      Tuesday        1  2022  \n",
       "2022-01-13  1571800    January     Thursday        1  2022  \n",
       "2022-01-18  1743600    January      Tuesday        1  2022  \n",
       "2022-01-20  1495400    January     Thursday        1  2022  \n",
       "2022-01-24  3831100    January       Monday        1  2022  \n",
       "2022-01-26  2456500    January    Wednesday        1  2022  \n",
       "2022-01-28  1718100    January       Friday        1  2022  "
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.loc['2022-01-01':'2022-01-31':2] #alternate days"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd79b23b",
   "metadata": {},
   "source": [
    "##  how to fetch info for a particular date every year... eg) 6th jan 2004 to2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "46360d84",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "cannot construct a Timedelta from the passed arguments, allowed keywords are [weeks, days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds]",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[162], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m pd\u001b[38;5;241m.\u001b[39mdate_range(start\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2004-01-06\u001b[39m\u001b[38;5;124m'\u001b[39m,end\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2022-01-06\u001b[39m\u001b[38;5;124m'\u001b[39m,freq\u001b[38;5;241m=\u001b[39mpd\u001b[38;5;241m.\u001b[39mTimedelta(years\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m))\n",
      "File \u001b[1;32mC:\\ProgramData\\anaconda3\\Lib\\site-packages\\pandas\\_libs\\tslibs\\timedeltas.pyx:1636\u001b[0m, in \u001b[0;36mpandas._libs.tslibs.timedeltas.Timedelta.__new__\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: cannot construct a Timedelta from the passed arguments, allowed keywords are [weeks, days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds]"
     ]
    }
   ],
   "source": [
    "pd.date_range(start='2004-01-06',end='2022-01-06',freq=pd.Timedelta(years=1))\n",
    "\n",
    "# allowed keywords are [weeks, days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds].. years not allowed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "f0bf1be9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2004-01-06', '2005-01-05', '2006-01-05', '2007-01-05',\n",
       "               '2008-01-05', '2009-01-04', '2010-01-04', '2011-01-04',\n",
       "               '2012-01-04', '2013-01-03', '2014-01-03', '2015-01-03',\n",
       "               '2016-01-03', '2017-01-02', '2018-01-02', '2019-01-02',\n",
       "               '2020-01-02', '2021-01-01', '2022-01-01'],\n",
       "              dtype='datetime64[ns]', freq='365D')"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.date_range(start='2004-01-06',end='2022-01-06',freq=pd.Timedelta(days=365))  #this will print every 365th date\n",
    "\n",
    "# ans is not correct.. bcoz of leapyear, calculation changes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "16282c42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2004-01-06', '2005-01-06', '2006-01-06', '2007-01-06',\n",
       "               '2008-01-06', '2009-01-06', '2010-01-06', '2011-01-06',\n",
       "               '2012-01-06', '2013-01-06', '2014-01-06', '2015-01-06',\n",
       "               '2016-01-06', '2017-01-06', '2018-01-06', '2019-01-06',\n",
       "               '2020-01-06', '2021-01-06', '2022-01-06'],\n",
       "              dtype='datetime64[ns]', freq='<DateOffset: years=1>')"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Another object \"DateOffset\" used instead\n",
    "\n",
    "pd.date_range(start='2004-01-06',end='2022-01-06',freq=pd.DateOffset(years=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "11a7e4b1",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>month_name</th>\n",
       "      <th>weekday_name</th>\n",
       "      <th>quarter</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-01-06</th>\n",
       "      <td>97.637634</td>\n",
       "      <td>98.048050</td>\n",
       "      <td>93.953957</td>\n",
       "      <td>94.369370</td>\n",
       "      <td>94.369370</td>\n",
       "      <td>20753426</td>\n",
       "      <td>January</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-06</th>\n",
       "      <td>228.663666</td>\n",
       "      <td>235.485489</td>\n",
       "      <td>226.846848</td>\n",
       "      <td>233.063065</td>\n",
       "      <td>233.063065</td>\n",
       "      <td>35478286</td>\n",
       "      <td>January</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-01-06</th>\n",
       "      <td>166.656662</td>\n",
       "      <td>170.570572</td>\n",
       "      <td>163.358353</td>\n",
       "      <td>167.197205</td>\n",
       "      <td>167.197205</td>\n",
       "      <td>12837550</td>\n",
       "      <td>January</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>313.243256</td>\n",
       "      <td>313.243256</td>\n",
       "      <td>303.483490</td>\n",
       "      <td>304.434448</td>\n",
       "      <td>304.434448</td>\n",
       "      <td>7949443</td>\n",
       "      <td>January</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-06</th>\n",
       "      <td>305.645660</td>\n",
       "      <td>309.524536</td>\n",
       "      <td>305.330322</td>\n",
       "      <td>307.057068</td>\n",
       "      <td>307.057068</td>\n",
       "      <td>4111484</td>\n",
       "      <td>January</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-06</th>\n",
       "      <td>329.904907</td>\n",
       "      <td>330.330322</td>\n",
       "      <td>325.220215</td>\n",
       "      <td>325.335327</td>\n",
       "      <td>325.335327</td>\n",
       "      <td>5380414</td>\n",
       "      <td>January</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-06</th>\n",
       "      <td>557.062073</td>\n",
       "      <td>559.989990</td>\n",
       "      <td>553.773804</td>\n",
       "      <td>559.219238</td>\n",
       "      <td>559.219238</td>\n",
       "      <td>3535061</td>\n",
       "      <td>January</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>520.500000</td>\n",
       "      <td>521.210022</td>\n",
       "      <td>505.549988</td>\n",
       "      <td>506.640015</td>\n",
       "      <td>506.640015</td>\n",
       "      <td>2722800</td>\n",
       "      <td>January</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>750.369995</td>\n",
       "      <td>765.729980</td>\n",
       "      <td>748.000000</td>\n",
       "      <td>759.330017</td>\n",
       "      <td>759.330017</td>\n",
       "      <td>2410300</td>\n",
       "      <td>January</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-06</th>\n",
       "      <td>814.989990</td>\n",
       "      <td>828.960022</td>\n",
       "      <td>811.500000</td>\n",
       "      <td>825.210022</td>\n",
       "      <td>825.210022</td>\n",
       "      <td>2017100</td>\n",
       "      <td>January</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06</th>\n",
       "      <td>1351.630005</td>\n",
       "      <td>1398.319946</td>\n",
       "      <td>1351.000000</td>\n",
       "      <td>1397.810059</td>\n",
       "      <td>1397.810059</td>\n",
       "      <td>2338400</td>\n",
       "      <td>January</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-06</th>\n",
       "      <td>1700.260010</td>\n",
       "      <td>1743.969971</td>\n",
       "      <td>1696.099976</td>\n",
       "      <td>1722.880005</td>\n",
       "      <td>1722.880005</td>\n",
       "      <td>2329400</td>\n",
       "      <td>January</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-06</th>\n",
       "      <td>2739.969971</td>\n",
       "      <td>2798.800049</td>\n",
       "      <td>2731.169922</td>\n",
       "      <td>2754.949951</td>\n",
       "      <td>2754.949951</td>\n",
       "      <td>1867400</td>\n",
       "      <td>January</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Open         High          Low        Close    Adj Close  \\\n",
       "Date                                                                          \n",
       "2005-01-06    97.637634    98.048050    93.953957    94.369370    94.369370   \n",
       "2006-01-06   228.663666   235.485489   226.846848   233.063065   233.063065   \n",
       "2009-01-06   166.656662   170.570572   163.358353   167.197205   167.197205   \n",
       "2010-01-06   313.243256   313.243256   303.483490   304.434448   304.434448   \n",
       "2011-01-06   305.645660   309.524536   305.330322   307.057068   307.057068   \n",
       "2012-01-06   329.904907   330.330322   325.220215   325.335327   325.335327   \n",
       "2014-01-06   557.062073   559.989990   553.773804   559.219238   559.219238   \n",
       "2015-01-06   520.500000   521.210022   505.549988   506.640015   506.640015   \n",
       "2016-01-06   750.369995   765.729980   748.000000   759.330017   759.330017   \n",
       "2017-01-06   814.989990   828.960022   811.500000   825.210022   825.210022   \n",
       "2020-01-06  1351.630005  1398.319946  1351.000000  1397.810059  1397.810059   \n",
       "2021-01-06  1700.260010  1743.969971  1696.099976  1722.880005  1722.880005   \n",
       "2022-01-06  2739.969971  2798.800049  2731.169922  2754.949951  2754.949951   \n",
       "\n",
       "              Volume month_name weekday_name  quarter  year  \n",
       "Date                                                         \n",
       "2005-01-06  20753426    January     Thursday        1  2005  \n",
       "2006-01-06  35478286    January       Friday        1  2006  \n",
       "2009-01-06  12837550    January      Tuesday        1  2009  \n",
       "2010-01-06   7949443    January    Wednesday        1  2010  \n",
       "2011-01-06   4111484    January     Thursday        1  2011  \n",
       "2012-01-06   5380414    January       Friday        1  2012  \n",
       "2014-01-06   3535061    January       Monday        1  2014  \n",
       "2015-01-06   2722800    January      Tuesday        1  2015  \n",
       "2016-01-06   2410300    January    Wednesday        1  2016  \n",
       "2017-01-06   2017100    January       Friday        1  2017  \n",
       "2020-01-06   2338400    January       Monday        1  2020  \n",
       "2021-01-06   2329400    January    Wednesday        1  2021  \n",
       "2022-01-06   1867400    January     Thursday        1  2022  "
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to display data corresponding to this dates only,\n",
    "\n",
    "google[google.index.isin(pd.date_range(start='2004-01-06',end='2022-01-06',freq=pd.DateOffset(years=1)))]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd96a57f",
   "metadata": {},
   "source": [
    "## How to plot time series data?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "934c0841",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# using a single column\n",
    "\n",
    "google['Close'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "314dad92",
   "metadata": {},
   "outputs": [],
   "source": [
    "# multiple columns together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "efeb932b",
   "metadata": {},
   "outputs": [],
   "source": [
    "google_df = google[['Open','High','Low','Close']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "3d690fd2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = google_df.plot(subplots=True,layout=(2,2),sharex=False,sharey=False,linewidth=0.7,fontsize=10,legend=False,figsize=(20,10),\n",
    "                title=['Open','High','Low','Close'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "90fdab61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# how to plot for a particular month,year etc..\n",
    "\n",
    "#yearly trend\n",
    "google.loc['2021']['Volume'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "7c4a5b85",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#monthly trend\n",
    "google.loc['2021-12']['Volume'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "6e4fc147",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Seasonality of the Time Series'}, xlabel='month_name', ylabel='Open'>"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1sAAANVCAYAAACONuR1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeXxU1fk/8M+9s08yM9mYSYaEECRsBjdABCnEhaUWkaq1LX5RFJGWpUa0qLWt2FoQtGhbW9RKUVBE+1MEbUVQIEgBQSplDyIhLElIIMlkn+2e3x8DQ4ZMlgkzTEg+79crLffe5957bkwy88w55zmSEEKAiIiIiIiIwkqOdgOIiIiIiIg6IiZbREREREREEcBki4iIiIiIKAKYbBEREREREUUAky0iIiIiIqIIYLJFREREREQUAUy2iIiIiIiIIoDJFhERERERUQQw2SIiIiIiIooAJltERBfhq6++wg9/+EN069YNOp0ONpsNQ4YMwWOPPRbtpkXVpEmT0L1794B93bt3x6RJk/zbhYWFmDNnDnbt2nVJ29bQF198gYEDByImJgaSJOGjjz4KGtdcWydNmoTY2NiItfHo0aOQJKlVX0ePHkV2djays7Mj1p62OHDgACZOnIgePXpAr9cjKSkJ1113HWbMmIHKysqw3mvOnDmQJCms1yQiait1tBtARHS5+te//oVx48YhOzsbCxYsQEpKCoqKivD1119jxYoV+OMf/xjtJrYrK1euhNls9m8XFhbi2WefRffu3XHNNddc8vYIIXDPPfegV69eWL16NWJiYtC7d++gsdFsa0pKCrZu3Rqwb9q0aXA4HHjnnXcaxf7tb3+7lM1r0TfffIMbb7wRffv2xW9/+1t0794dp0+fxv/+9z+sWLECjz/+eMDPxcV66KGHMGbMmLBdj4joYjDZIiJqowULFiAjIwOfffYZ1Orzf05/8pOfYMGCBVFsWft07bXXRrsJAQoLC1FWVoYf/vCHuOWWW6LdnCbpdDrccMMNAfvMZjNcLlej/QDQr1+/S9W0Vnn55ZchyzI2btwIk8nk33/33Xfj97//PYQQYblPbW0tjEYjUlNTkZqaGpZrEhFdLA4jJCJqozNnziApKSkg0TpHlhv/eX3vvfcwZMgQxMTEIDY2FqNHj8Y333wTEPP111/jJz/5Cbp37w6DwYDu3bvjpz/9KQoKCgLiamtr8fjjjyMjIwN6vR4JCQkYOHAg3n333YC41atXY8iQITAajTCZTBg5cmSjXpJzw6727duHn/70p7BYLLDZbHjwwQfhcDgCYv/6179i+PDhsFqtiImJQf/+/bFgwQK43e4Wv18NhxFu3LgRgwYNAgA88MAD/mFwc+bMwbJlyyBJUqN2AsDvfvc7aDQaFBYWNnuvzZs345ZbboHJZILRaMTQoUPxr3/9K+CZz70hf+KJJyBJUqNhj+c019aGDh8+jNtuuw2xsbFIS0vDY489BqfTGRDjcrnw3HPPoU+fPtDpdOjSpQseeOABlJaWNvs8obhwGOG5YYgvvPAC5s+f7//Zys7OxqFDh+B2u/Hkk0/CbrfDYrHghz/8IUpKShpdtzU/v8GcOXMGZrO5yaGWFw75+/zzz3HLLbfAbDbDaDTixhtvxBdffBEQc+5n9r///S/uvvtuxMfH44orrgg41pb2HzlyBD/5yU9gt9v9w4JvueWWqA51JaLLG5MtIqI2GjJkCL766iv84he/wFdffdVswjF37lz89Kc/Rb9+/fD+++9j2bJlqKqqwve+9z3s37/fH3f06FH07t0bL7/8Mj777DPMnz8fRUVFGDRoEE6fPu2PmzVrFhYtWoRf/OIXWLNmDZYtW4Yf/ehHOHPmjD9m+fLluOOOO2A2m/Huu+9i8eLFKC8vR3Z2NjZv3tyojXfddRd69eqFDz74AE8++SSWL1+ORx99NCDmu+++w4QJE7Bs2TJ88sknmDx5Ml544QVMnTo1pO/dddddhyVLlgAAfv3rX2Pr1q3YunUrHnroIfz4xz9GcnIy/vrXvwac4/F48Nprr+GHP/wh7HZ7k9fOzc3FzTffDIfDgcWLF+Pdd9+FyWTC7bffjvfeew+Ab6jZhx9+CACYOXMmtm7dipUrV4bc1nPcbjfGjRuHW265BatWrcKDDz6Il156CfPnz/fHKIqCO+64A88//zwmTJiAf/3rX3j++eexbt06ZGdno66uLqTvYaj++te/4j//+Q/++te/4o033sDBgwdx++23Y/LkySgtLcU//vEPLFiwAJ9//nnAswGt//kNZsiQISgqKsK9996L3NzcZp/z7bffxqhRo2A2m/HWW2/h/fffR0JCAkaPHt0o4QKAO++8Ez179sQ///lPvPrqq01et7Xtv+2227Bz504sWLAA69atw6JFi3DttdeioqKi2WckImqSICKiNjl9+rQYNmyYACAACI1GI4YOHSrmzZsnqqqq/HHHjh0TarVazJw5M+D8qqoqkZycLO65554m7+HxeER1dbWIiYkRf/rTn/z7s7KyxPjx45s8z+v1CrvdLvr37y+8Xm/APa1Wqxg6dKh/3zPPPCMAiAULFgRcY9q0aUKv1wtFUZq8h9vtFkuXLhUqlUqUlZX5j91///0iPT09ID49PV3cf//9/u0dO3YIAGLJkiWNrv3MM88IrVYrTp065d/33nvvCQAiNze3yecWQogbbrhBWK3WgP8GHo9HZGVlidTUVP/z5OfnCwDihRdeaPZ6LbX1/vvvFwDE+++/H7D/tttuE7179/Zvv/vuuwKA+OCDD4Je+29/+1uL7ThnxIgR4sorr2zy2IgRI/zb557z6quvDvhZePnllwUAMW7cuIDzc3JyBADhcDiEEBf38yuEEPX19WL8+PH+3xOVSiWuvfZa8fTTT4uSkhJ/XE1NjUhISBC33357wPler1dcffXV4vrrr/fvO/cz+9vf/rbR/c4dO6e17T99+rQAIF5++eVmn4eIKBTs2SIiaqPExER8+eWX2LFjB55//nnccccdOHToEJ566in079/f3xP12WefwePx4L777oPH4/F/6fV6jBgxAhs3bvRfs7q6Gk888QR69uwJtVoNtVqN2NhY1NTU4MCBA/6466+/Hp9++imefPJJbNy4sVFvQV5eHgoLCzFx4sSAIY2xsbG46667sG3bNtTW1gacM27cuIDtq666CvX19QFDyr755huMGzcOiYmJUKlU0Gg0uO++++D1enHo0KGL/p6e8/Of/xwA8Pe//92/75VXXkH//v0xfPjwJs+rqanBV199hbvvvjtg2JpKpcLEiRNx4sQJ5OXlha2d50iShNtvvz1g31VXXRUw/POTTz5BXFwcbr/99oCfg2uuuQbJyckBPweRcNtttwX8LPTt2xcA8IMf/CAg7tz+Y8eOAQjt5zcYnU6HlStXYv/+/XjppZfwk5/8BKWlpfjDH/6Avn37+v97bNmyBWVlZbj//vsD7qMoCsaMGYMdO3agpqYm4Np33XVXi8/d2vYnJCTgiiuuwAsvvICFCxfim2++gaIoLV6fiKg5LJBBRHSRBg4ciIEDBwLwDSd74okn8NJLL2HBggVYsGABTp06BQD+eT8XavgGeMKECfjiiy/wm9/8BoMGDYLZbIYkSbjtttsCEqo///nPSE1NxXvvvYf58+dDr9dj9OjReOGFF5CZmekfTpiSktLofna7HYqioLy8HEaj0b8/MTExIE6n0wGA/77Hjh3D9773PfTu3Rt/+tOf0L17d+j1emzfvh3Tp08P6zA4m82GH//4x3jttdfw5JNPYt++ffjyyy/x2muvNXteeXk5hBBNPjeAgKGW4WI0GqHX6wP26XQ61NfX+7dPnTqFiooKaLXaoNdoOEw0EhISEgK2z7Wjqf3n2h7Kz29z+vbt60/khBB4+eWXMWvWLPzmN7/B+++/77/P3Xff3eQ1ysrKEBMT498O9t/5Qq1tvyRJ+OKLL/C73/0OCxYswGOPPYaEhATce++9+MMf/hBQ3IOIqLWYbBERhZFGo8EzzzyDl156CXv37gUAJCUlAQD+3//7f0hPT2/yXIfDgU8++QTPPPMMnnzySf9+p9OJsrKygNiYmBg8++yzePbZZ3Hq1Cl/L9ftt9+OgwcP+hOnoqKiRvcpLCyELMuIj48P6dk++ugj1NTU4MMPPwx4jkgVD3jkkUewbNkyrFq1CmvWrEFcXBzuvffeZs+Jj4+HLMtNPjdw/r/HpZaUlITExESsWbMm6PH2+ma+tT+/oZAkCY8++ih+97vfNfo9+ctf/hK0yiLgS8IvvE5LQml/eno6Fi9eDAA4dOgQ3n//fcyZMwcul6vZOWFERE1hskVE1EZFRUVBP1k/N9zvXE/K6NGjoVar8d133zU77EmSJAgh/D1K57zxxhvwer1Nnmez2TBp0iT873//w8svv4za2lr07t0bXbt2xfLly/H444/735TW1NTggw8+8FcoDMW5azRsnxAiYKhfKC7sObvQgAEDMHToUMyfPx979+7Fww8/HNCrEUxMTAwGDx6MDz/8EC+++CIMBgMAX3GKt99+G6mpqejVq1fY29oaY8eOxYoVK+D1ejF48OA2X+dSa+3Pb1Oa+j0pLCxEZWUlBgwYAAC48cYbERcXh/3792PGjBkX3e5z2tr+Xr164de//jU++OAD/Pe//w1be4ioc2GyRUTURqNHj0Zqaipuv/129OnTB4qiYNeuXfjjH/+I2NhYPPLIIwB8Jc9/97vf4emnn8aRI0cwZswYxMfH49SpU9i+fbu/l8psNmP48OF44YUXkJSUhO7duyM3NxeLFy9GXFxcwL0HDx6MsWPH4qqrrkJ8fDwOHDiAZcuWBSRRCxYswL333ouxY8di6tSpcDqdeOGFF1BRUYHnn38+5OcdOXIktFotfvrTn2L27Nmor6/HokWLUF5e3qbv3xVXXAGDwYB33nkHffv2RWxsLOx2e0ClwUceeQQ//vGPIUkSpk2b1qrrzps3DyNHjsRNN92Exx9/HFqtFn/729+wd+9evPvuu63qDWlLW1vyk5/8BO+88w5uu+02PPLII7j++uuh0Whw4sQJbNiwAXfccQd++MMfhty2SGvtz29THn74YVRUVOCuu+5CVlYWVCoVDh48iJdeegmyLOOJJ54A4JtP+Je//AX3338/ysrKcPfdd8NqtaK0tBT/+9//UFpaikWLFkWs/bt378aMGTPwox/9CJmZmdBqtVi/fj12794d0NNMRBSS6NbnICK6fL333ntiwoQJIjMzU8TGxgqNRiO6desmJk6cKPbv398o/qOPPhI33XSTMJvNQqfTifT0dHH33XeLzz//3B9z4sQJcdddd4n4+HhhMpnEmDFjxN69extV8nvyySfFwIEDRXx8vNDpdKJHjx7i0UcfFadPn250z8GDBwu9Xi9iYmLELbfcIv7zn/8ExJyr3lZaWhqwf8mSJQKAyM/P9+/7+OOPxdVXXy30er3o2rWr+OUvfyk+/fRTAUBs2LDBH9eaaoRC+Cr09enTR2g0GgFAPPPMMwHHnU6n0Ol0YsyYMY2+n8358ssvxc033yxiYmKEwWAQN9xwg/j4448DYkKpRthcW++//34RExPTKP7CqnhCCOF2u8WLL77o/x7GxsaKPn36iKlTp4pvv/221c/XlmqEFz7nhg0bBADxz3/+M2D/uf/uO3bsCNjfmp/fYD777DPx4IMPin79+gmLxSLUarVISUkRd955p9i6dWuj+NzcXPGDH/xAJCQkCI1GI7p27Sp+8IMfBLSzqZ/Zhscu1FL7T506JSZNmiT69OkjYmJiRGxsrLjqqqvESy+9JDweT7PPSETUFEmIMC3dTkREFGYff/wxxo0bh3/961+47bbbot0cIiKikDDZIiKidmf//v0oKCjAI488gpiYGPz3v/9t0/A/IiKiaOI6W0RE1O5MmzYN48aNQ3x8fJvnWREREUUbe7aIiIiIiIgigD1bREREREREEcBki4iIiIiIKAKYbBEREREREUUAFzVuJUVRUFhYCJPJxInaRERERESdmBACVVVVsNvtkOWm+6+YbLVSYWEh0tLSot0MIiIiIiJqJ44fP47U1NQmjzPZaiWTyQTA9w01m81Rbg0REREREUVLZWUl0tLS/DlCU5hstdK5oYNms5nJFhERERERtTi9iAUyiIiIiIiIIoDJFhERERERUQQw2SIiIiIiIooAztkiIiIiIuoAhBDweDzwer3RbsplT6VSQa1WX/SST0y2iIiIiIgucy6XC0VFRaitrY12UzoMo9GIlJQUaLXaNl+DyRYRERER0WVMURTk5+dDpVLBbrdDq9VedI9MZyaEgMvlQmlpKfLz85GZmdnswsXNYbJFRERERHQZc7lcUBQFaWlpMBqN0W5Oh2AwGKDRaFBQUACXywW9Xt+m67BABhERERFRB9DW3hcKLhzfT/4XISIiIiIiigAmW0RERERERBHAZIuIiIiIiCgCmGwRERERERFFAJMtIiIiIiJq97xeLxRFiXYzQsJki4iIiIiIQrJ06VIkJibC6XQG7L/rrrtw3333AQA+/vhjDBgwAHq9Hj169MCzzz4Lj8fjj124cCH69++PmJgYpKWlYdq0aaiurvYff/PNNxEXF4dPPvkE/fr1g06nQ0FBwaV5wDBhskVERERERCH50Y9+BK/Xi9WrV/v3nT59Gp988gkeeOABfPbZZ/i///s//OIXv8D+/fvx2muv4c0338Qf/vAHf7wsy/jzn/+MvXv34q233sL69esxe/bsgPvU1tZi3rx5eOONN7Bv3z5YrdZL9ozhIAkhRLQbcTmorKyExWKBw+GA2WyOdnOIiIiIiAAA9fX1yM/PR0ZGRpsX322LadOm4ejRo/j3v/8NAPjTn/6EP//5zzh8+DBGjBiB73//+3jqqaf88W+//TZmz56NwsLCoNf75z//iZ///Oc4ffo0AF/P1gMPPIBdu3bh6quvjvwDXaC572trcwN1pBtJREREREQdz5QpUzBo0CCcPHkSXbt2xZIlSzBp0iRIkoSdO3dix44dAT1ZXq8X9fX1qK2thdFoxIYNGzB37lzs378flZWV8Hg8qK+vR01NDWJiYgAAWq0WV111VbQe8aIx2SIiIiIiopBde+21uPrqq7F06VKMHj0ae/bswccffwwAUBQFzz77LO68885G5+n1ehQUFOC2227Dz372M/z+979HQkICNm/ejMmTJ8PtdvtjDQYDJEm6ZM8UblGds7Vo0SJcddVVMJvNMJvNGDJkCD799FP/cSEE5syZA7vdDoPBgOzsbOzbty/gGk6nEzNnzkRSUhJiYmIwbtw4nDhxIiCmvLwcEydOhMVigcViwcSJE1FRUXEpHpGIiIiIqMN66KGHsGTJEvzjH//ArbfeirS0NADAddddh7y8PPTs2bPRlyzL+Prrr+HxePDHP/4RN9xwA3r16tXk8MLLWVSTrdTUVDz//PP4+uuv8fXXX+Pmm2/GHXfc4U+oFixYgIULF+KVV17Bjh07kJycjJEjR6Kqqsp/jZycHKxcuRIrVqzA5s2bUV1djbFjx8Lr9fpjJkyYgF27dmHNmjVYs2YNdu3ahYkTJ17y5yUiIiIi6kjuvfdenDx5En//+9/x4IMP+vf/9re/xdKlSzFnzhzs27cPBw4cwHvvvYdf//rXAIArrrgCHo8Hf/nLX3DkyBEsW7YMr776arQeI3JEOxMfHy/eeOMNoSiKSE5OFs8//7z/WH19vbBYLOLVV18VQghRUVEhNBqNWLFihT/m5MmTQpZlsWbNGiGEEPv37xcAxLZt2/wxW7duFQDEwYMHW90uh8MhAAiHw3Gxj0hEREREFDZ1dXVi//79oq6uLir3nzhxokhISBD19fUB+9esWSOGDh0qDAaDMJvN4vrrrxevv/66//jChQtFSkqKMBgMYvTo0WLp0qUCgCgvLxdCCLFkyRJhsVgu4ZMEau772trcoN2Ufvd6vVixYgVqamowZMgQ5Ofno7i4GKNGjfLH6HQ6jBgxAlu2bAEA7Ny5E263OyDGbrcjKyvLH7N161ZYLBYMHjzYH3PDDTfAYrH4Y4JxOp2orKwM+CIiIiIiokBFRUW49957odPpAvaPHj0a//nPf1BbWwuHw4GvvvoKU6ZM8R9/9NFHUVhYiNraWqxZswYTJ06EEAJxcXEAgEmTJl32U3+inmzt2bMHsbGx0Ol0+NnPfoaVK1eiX79+KC4uBgDYbLaAeJvN5j9WXFwMrVaL+Pj4ZmOC1eO3Wq3+mGDmzZvnn+NlsVj840+JiIiIiAgoKyvDihUrsH79ekyfPj3azWmXol6NsHfv3ti1axcqKirwwQcf4P7770dubq7/+IXVR4QQLVYkuTAmWHxL13nqqacwa9Ys/3ZlZSUTLiIiIiKis6677jqUl5dj/vz56N27d7Sb0y5FPdnSarXo2bMnAGDgwIHYsWMH/vSnP+GJJ54A4OuZSklJ8ceXlJT4e7uSk5PhcrlQXl4e0LtVUlKCoUOH+mNOnTrV6L6lpaWNes0a0ul0jbpCiYiIiIjI5+jRo9FuQrsX9WGEFxJCwOl0IiMjA8nJyVi3bp3/mMvlQm5urj+RGjBgADQaTUBMUVER9u7d648ZMmQIHA4Htm/f7o/56quv4HA4/DFEREREREThFtWerV/96lf4/ve/j7S0NFRVVWHFihXYuHEj1qxZA0mSkJOTg7lz5yIzMxOZmZmYO3cujEYjJkyYAACwWCyYPHkyHnvsMSQmJiIhIQGPP/44+vfvj1tvvRUA0LdvX4wZMwZTpkzBa6+9BgB4+OGHMXbsWHZ3EhERERFRxEQ12Tp16hQmTpyIoqIiWCwWXHXVVVizZg1GjhwJAJg9ezbq6uowbdo0lJeXY/DgwVi7di1MJpP/Gi+99BLUajXuuece1NXV4ZZbbsGbb74JlUrlj3nnnXfwi1/8wl+1cNy4cXjllVcu7cMSEREREVGnIgkhRLQbcTmorKyExWKBw+GA2WyOdnOIiIiIiAAA9fX1yM/PR0ZGBvR6fbSb02E0931tbW4Q9QIZREQtEUJAnKiDN68KqFMAgwxVbxOkVEOL1UmJiIiIooXJFhG1a0pJPdwfFUIU1gfs924+A8muh2a8HbKVn+IRERFR+8Nki4jaLaWkHq5/HAXqlaDHRaHvuPbB7ky4iIiILpIQAqKwBMrhAoh6JyS9DnLPdEh2K0eStFG7K/1ORAT4/uC7PypsMtHyq1d8PV+cfkpERNRmSmkZ3Es/gvvt1fBu+x+UXQfh3fY/uN9eDffSj6CUlkXkvvPmzcOgQYNgMplgtVoxfvx45OXlBcQIITBnzhzY7XYYDAZkZ2dj3759ATFOpxMzZ85EUlISYmJiMG7cOJw4cSLoPZ1OJ6655hpIkoRdu3ZF5LnOYbJFRO2SOFHXaOhgk7GF9RAn6yLcIiIioo5JKS2D+52PIYpPBz0uik/D/c7HEUm4cnNzMX36dGzbtg3r1q2Dx+PBqFGjUFNT449ZsGABFi5ciFdeeQU7duxAcnIyRo4ciaqqKn9MTk4OVq5ciRUrVmDz5s2orq7G2LFj4fV6G91z9uzZsNvtYX+WYJhsEVG75M2rajmoAffnJfDmVUE544TwspeLiIioNYQQ8Pw7F3C6mg90uuD5dFPYR5KsWbMGkyZNwpVXXomrr74aS5YswbFjx7Bz505/+15++WU8/fTTuPPOO5GVlYW33noLtbW1WL58OQDA4XBg8eLF+OMf/4hbb70V1157Ld5++23s2bMHn3/+ecD9Pv30U6xduxYvvvhiWJ+jKZyzRUTtkqhr/ElUs/FHa+E+WuvbUEmQErSQkrSQknSQu+h8/07UQdLxMyYiIqJzRGFJkz1ajWKLSiGKSiHZrRFrj8PhAAAkJCQAAPLz81FcXOxfLxcAdDodRowYgS1btmDq1KnYuXMn3G53QIzdbkdWVha2bNmC0aNHA/Ct8TtlyhR89NFHMBqNEXuGhphsEVG7oxTVQfm2uu0X8AqIUidEqRNAFQLSNrMacpIO0rkELEkHOUkHxKo4+ZeIiDod5XBBaPHfHoUcoWRLCIFZs2Zh2LBhyMrKAgAUFxcDAGw2W0CszWZDQUGBP0ar1SI+Pr5RzLnzhRCYNGkSfvazn2HgwIE4evRoRJ7hQky2iKjdEFVueL4ohXdXReRuUumBUukBjtQE7tfJZ3vBfAmY70sLKV4LScUkjIiIOiZR74xofChmzJiB3bt3Y/PmzY2OXfiBqBCixQ9JG8b85S9/QWVlJZ566qnwNbgVmGwRUdQJtwLv1jPwfHkacIc+FlzqooNqeCJwxg3ltBPitAvitBPwhHAtpwJxsg7eCwttyPANP/T3gmnPJ2I6VchtJSIiak8kvS6i8a01c+ZMrF69Gps2bUJqaqp/f3JyMgBf71VKSop/f0lJib+3Kzk5GS6XC+Xl5QG9WyUlJRg6dCgAYP369di2bRt0usD2Dxw4EPfeey/eeuutiDwXky0iihohBJS9lXB/XgI43I0DdDLgFc0nTXoZmh91bbTOllAEhMPtT7zEaSeU0y7f0MLaEOaDKWh5SGJSg2SsixaIVYd9SKJzcT5EpQcAIJnV0E3OCOv1iYioc5J7psO77X+tj8/sHtb7CyEwc+ZMrFy5Ehs3bkRGRuDrW0ZGBpKTk7Fu3Tpce+21AACXy4Xc3FzMnz8fADBgwABoNBqsW7cO99xzDwCgqKgIe/fuxYIFCwAAf/7zn/Hcc8/5r1tYWIjRo0fjvffew+DBg8P6TA0x2SKiqFBO1MK95hTEiSAl22VAdX0C1MO7QFS7fetoBSkDL9n10Iy3B13QWJIlSPFaIF4LZMYGHBO1HojTrvO9YKW+ZExUuIFQOtaaHZJ4fj6Yf35YG4ckCiEgylxAjS/VE/VeKMdrIaUaOM+MiIguimS3QkpOalWRDCmlC6SULmG9//Tp07F8+XKsWrUKJpPJP8fKYrHAYPC9zuXk5GDu3LnIzMxEZmYm5s6dC6PRiAkTJvhjJ0+ejMceewyJiYlISEjA448/jv79++PWW28FAHTr1i3gvrGxvvcGV1xxRUBPWrgx2SKiS0o43HB/XgJljyPocblXLNSjbL6iFQAkowraKRm+IX4Hq4A6BTDIUPUxQeratmRDMqohdVND7hZYiUi4FYgyl783TCm9mCGJ9RAn6xGwJLOMs1USfcmXr0qiDlKiFpI++JBEpaTet7hzTYM+NacC1+KjzSabRERErSFJEtS3jYD7nY+bL/+u00L9/eFh/5Bv0aJFAIDs7OyA/UuWLMGkSZMA+NbFqqurw7Rp01BeXo7Bgwdj7dq1MJlM/viXXnoJarUa99xzD+rq6nDLLbfgzTffhEoV3SH/kgh3sfwOqrKyEhaLBQ6HA2azOdrNIbrsCKcCz39Ow7vlTNDERbLqoB5tg+qK2CBnR5dQBFDp9g9DPN8r5gxMgi6G6VyVxPPJGAC43z8B1CtNn6eXoX2wOxMuIqJOrL6+Hvn5+cjIyIBe37bXA6W0DJ5/5wbt4ZJSukD9/eGQuyRcbFMvK819X1ubG7Bni4giSigCym4H3F+UAFWexgFGFdQ3W6G6Nq7dVv2TZAmI00IVpwV6Xjgk0QtxJrAXTJx2QZS7QhuSWOWBUuUB8mtajm2oXoH7o0Jop2RwSCEREbWZ3CUBmvvGQxSVQvn2KES9E5JeBzmzu2/4IF9j2oTJFhFFjFJQC/dnxUHnW0ElQXVDAtTfS2pyCN3lQDKqIBmNkNMuGJLoUSDONBiS2LBKYhsqLjZHFNZDnKyDlHppFmgkIqKOSZIkSHZrxNbR6oyYbBFR2CnlLnjWnYKyvyrocbmvCeqRNsgJ2kvcsktHUsuQbHrA1rhKIio9/mGIDeeHXcyQRO/BKshMtoiIiNoVJltEFDai3gvPl6fh3VbmK9l+ASlFD81oG+TuMVFoXfvgG5KogSpO03hIYp3XX6Leu+0MxKkQFo6sa2ZeFxEREUUFky0iumhCEfB+UwHP+pLgvTOxaqhvsUJ1tcWXbFBQkkEFKc03JFGcccIbSrJlkCPXMCIiImoTJltEdFG8R6rh+exU8F4YtQTV0ESob0yCpGMyEApVbxO8m8+0Pr6PqeUgIiIiuqSYbBFRmyinnb55WXnVQY/L/c3Q3GKDFKe5xC3rGKRUAyS7PnhxkQtj7XpIXQ2XoFVEREQUCiZbRBQSUeeFJ7cU3u1lQJBpQlJXAzRjbI2q81FoJEmCZrwdrn8cbXGdLc14O0vyEhERtUNMtoioVYRXwPt1OTwbS4G6IPOyzGpobrVB7m/mG/8wka16aB/sDvdHhcF7uLQSFzQmIiJqx5hsEVGLvN9W+eZlnXY1PqiRoB6WBNWQREhazssKN9mqh3ZKBpyLjgAON+Bs0MvlFpDiOm75fCIiurSEEBBFBVC+2wNRXwdJb4B8RX9IKen8ILWN+M6IiJqklNTDtawA7neOB020VNdYoJvZE+oRXZhoRZAkSdBPuwL6p/pAdV3c+QMCUE7WRa1dRETUcSini+B+ZyHc774M7/YvoOzeAu/2L+B+92W431kI5XRRRO47b948DBo0CCaTCVarFePHj0deXl5AjBACc+bMgd1uh8FgQHZ2Nvbt2xcQ43Q6MXPmTCQlJSEmJgbjxo3DiRMnAmK6d+/uW7i5wdeTTz4Zkec6h++OiKgRUeOB+19FcC06AuW7mkbHpXQjtA9nQDO+KyQzC2BcSnJ64Fw4UVAbpZYQEVFHoZwugnvFnyFOHQ96XJw6DveKP0ck4crNzcX06dOxbds2rFu3Dh6PB6NGjUJNzfn3HwsWLMDChQvxyiuvYMeOHUhOTsbIkSNRVVXlj8nJycHKlSuxYsUKbN68GdXV1Rg7diy83sCpD7/73e9QVFTk//r1r38d9mdqiMMI6bLgXJwPUekBAEhmNXSTM6Lcoo5JeAS828vgyS0NHK52lhSngXqUDXJfE4cTRMmFyZZSUAOgS3QaQ0RElz0hBDxrlgPOFkZKOOvg+exdaCY8Gtb3AGvWrAnYXrJkCaxWK3bu3Inhw4dDCIGXX34ZTz/9NO68804AwFtvvQWbzYbly5dj6tSpcDgcWLx4MZYtW4Zbb70VAPD2228jLS0Nn3/+OUaPHu2/vslkQnJyctja3xL2bNFlQVR6fPNVHG5/0kXhI4SA90AlXH/7Dp61pxonWloZ6pFWaGdcAVU/FsCIJilOC1jO9yYqx+sgPCKKLSIiosuZKCposkerUWzxMYjigoi2x+FwAAASEhIAAPn5+SguLsaoUaP8MTqdDiNGjMCWLVsAADt37oTb7Q6IsdvtyMrK8secM3/+fCQmJuKaa67BH/7wB7hcQeajhxF7tqjdE0IAngZv/uu9UI7X+tYh4pv+i6YU1cPzWTGUo0GGo0mA6rp4qG/qAimWfy7aCzndCGW378UIHgFRVAeJpfaJiKgNlO/2hBZ/eA/klO4RaYsQArNmzcKwYcOQlZUFACguLgYA2Gy2gFibzYaCggJ/jFarRXx8fKOYc+cDwCOPPILrrrsO8fHx2L59O5566ink5+fjjTfeiMjzAEy2qJ1TSurh/qgQqGkw3tapwLX4KCS7Hprxdpa9biNR5YFnfQm831QEPS73iIF6tA2yjd/f9iYg2QKgFNRyXTMiImoTUR9aoaVQ40MxY8YM7N69G5s3b2507MIP2IUQLX7ofmHMo48+6v/3VVddhfj4eNx9993+3q5I4DBCareUknq4/nE0+PpCAESh77hSEvw4BSfcCjxfnobzL4eDJlpSohaan6ZBM7EbE612qvG8LRbJICKitpH0hojGt9bMmTOxevVqbNiwAampqf795+ZXNeyhAoCSkhJ/b1dycjJcLhfKy8ubjAnmhhtuAAAcPnw4LM8QDJMtapeEEL4erfrGRRoC1Cu+BV8F56y0RAgB714HXH/9Dp4vSgDXBd9bvQz1GBu0P78Cqt4sgNGeSYlaIEbl31aO1UIo/B0gIqLQyVf0Dy2+Z2jxLRFCYMaMGfjwww+xfv16ZGQEFkHLyMhAcnIy1q1b59/ncrmQm5uLoUOHAgAGDBgAjUYTEFNUVIS9e/f6Y4L55ptvAAApKSnhfKQAHEZI7ZJSUNtkj9aFRGE9PP85DVUvM6QEDSQ1P0O4kHKyDu41xRDHg3T9S4BqUALU2UmQjPyTcDmQJMk3lHD/2ZK3TgXiVD2klMh82khERB2XlJIOyZbWqiIZUnI3SMnpYb3/9OnTsXz5cqxatQomk8nfg2WxWGAw+Obn5+TkYO7cucjMzERmZibmzp0Lo9GICRMm+GMnT56Mxx57DImJiUhISMDjjz+O/v37+6sTbt26Fdu2bcNNN90Ei8WCHTt24NFHH8W4cePQrVu3sD5TQ3xnRe2CUATEqXooR2r8X6Hwfl4K7+elAHzlyaVELaQEre//E7WQEnWQLBpIqs7VWyMcbri/KAmY39OQnBnrK+XeRXeJW0YXS06POZ9s4ey8LSZbREQUIkmSoB4zAe4Vf26+/LvOAPXon4Z95MuiRYsAANnZ2QH7lyxZgkmTJgEAZs+ejbq6OkybNg3l5eUYPHgw1q5dC5PJ5I9/6aWXoFarcc8996Curg633HIL3nzzTahUvpEgOp0O7733Hp599lk4nU6kp6djypQpmD17dlif50KS4PirVqmsrITFYoHD4YDZbI52czoEpdx1PrnKrwFqvS2fdDFkQIq/IAFL0EJO1AImNSS5/SZioa4zJlwKvFvOwLP5NBCkLLjURQf1aBtUPWMj0l6KPKW4Hq5Xj/i35b4maH+cFsUWERFRtNTX1yM/Px8ZGRnQ69s231o5XQTPmuVBe7ik5G5Qj/4p5KTIDbdrj5r7vrY2N2DPFl0yotYL5WgNlO9qoByphih3X9oGKIA444I4E2Q9BbV0QW+YDvLZpAxGVdTnL/nXGQPQ3KcjQhFQ9jjg/rwEqAqyHplRBfVNXaC6Lr7T9fJ1NJJVB+hl/7xGpaC2VZWZiIiIgpGTUqC5dxZEcQGUw3sg6usg6Q2Qe/aHlJzO15c2YrJFESPcCpTjtf7eq9bOwQIAGFUh9XSpBsRBeIQvmSpzhd5L5hEQp5wQp5yNj+lkf2+YnKgLTMr0qsbxUaIcq/XNywr2fZYB1Q2JUH8vCZKh/bSZ2k6SJcjdjFAOVft21HohSl2+JIyIiKgNJEmClNI9YutodUZMtihshCIgihvMuzpWG3QIW1BaGXKGEXKPWMg9YoBEDdxvNF32vSHJrod6bErAJy6i1gtR5oQ444JyNgHz92pdWIWvJU4ForAeorAejc6MUfmSsARdg+GJZ5MxTXgKdbS0qLNS7oLn8xIo+yqDni/3MUE90uYbLkkdipzeINkCoBTUQGayRURE1G4w2aKL4p939d3ZeVd1rexRkgEp1QjVFTGQe8RAshsaDWvTjLfD9Y+jzZd/18vQjLc36tqWjCpIRiOQakTDfhwhBFDtS8SUM+cTMH+PmDfEKYw1XoiaOniPBZlQalaf7wlr2BsWr231EL5mF3VO1kNK0UHZXRm03VKy3jcvKyMmtGeiy0bQ9bYGJUSpNURERHQhJlsUElHrgZJfC+VItW9oYAjzriSrDnIPX3Ilp8dA0jXf8yNb9dA+2N23jlaQHi7JrodmvB2ytfUTQSVJ8hXDMKkhpwcmIUIRQKX7fBLWoDdMlLuanywVTKUHSqUHyL+gsqLUoFBHg4qJcqIWMGv8hTrOLercVLIpiushioP0/MWqob65C1TXxLXroh908aQUA6CRALfvh5Pztjo+51vbIap8v/eSSQ/d/ddHuUVERNQcJlvULOFWoBxrMO+qKIR5Vyb12Z6rWMgZMZBMof+4yVY9tFMy4Hzx0PneHZ0M7cRukLoawvqmUpIlIE4LVZwWuCLwmPAKiPILErAzLihlLn/hilYT8F2nLEihDpUEKUELJGggTta1vKjzBeeqhiZCPSwRko7zsjoDSSVBTjOeXyqhygNR7vb9DFGHJKrqAYfv7zBLCRMRtX9MtihAwLyr787Ou2rt0DqdDLl7DORzQwMTtWFJhiTJl4AI9fnS53KqsYWzwktSSZCSdEBS4/kwwq0EJmFlLihnfPPFAob/tYZXQJQ6gdIghTqaa18PI7Tj7JDi+Ca7s5HTjQHr0ikFtZCZbBEREbULTLYIStm59a6qoeTXhjbvKs0IVY+m512FS0vrSkWTpJEh2fSArfFwRlHvDUjEfEMUzyZizhALdTRDthuYaHVSF87bEgW1wLVx0WkMERERBWCydRkIdUHblogaD5T8mvNDAytCmHdlazDvqlvL8646O0mvgmQ3AHZDwH4hhK9Ud0C1ROf5iomtreJ4Tl34Eje6vEhdDYBK8vdAKwU1LZxBRERElwqTrctAaxe0bfL8c/OuvjubXAUrqtAUsxqqs+XY5R4xkGL5IxMOkiQBMWpIMWrI3S7omVAEPJ8Ww7ujvPUXNDDp7awkjQypqwHiWC0AQJS7ISrdkMyaKLeMiIguN0IIeE7tg+voJghnFSSdCdruw6G2XcniS23Ed2jtXFNrLAnRdNolFAHlZB08X56G662jcD6fB/eyY/BuOdNyoqWTfesy3ZYM7YwroHs0E5rxdqiusjDRukQkWYLqKktI56j6mCLUGrocBC0BT0REFAJP2RE4PngQjpUPoe6bpajfvxJ13yyFY+VDcHzwIDxlRyJy33nz5mHQoEEwmUywWq0YP3488vLyAmKEEJgzZw7sdjsMBgOys7Oxb9++gBin04mZM2ciKSkJMTExGDduHE6cONHofv/6178wePBgGAwGJCUl4c4774zIc53Dd8/tWLNrLDUoey6EgChz+8uxK/k1ra9iJwNyN+P5nquUyM27otaTUg2Q7PpWL+osdTW0GEcdl5xuhPfL89tKQS1U/UNL2C8HLHtORBQZnrIjcKycCuGqCn689AAcK6fC8sPXoE7oEdZ75+bmYvr06Rg0aBA8Hg+efvppjBo1Cvv370dMjG+ZngULFmDhwoV488030atXLzz33HMYOXIk8vLyYDL5PnDOycnBxx9/jBUrViAxMRGPPfYYxo4di507d0Kl8lVp/uCDDzBlyhTMnTsXN998M4QQ2LNnT1if50JMttqpFtdYKqyH6+/5kHvGQimsD6n8+Pl5V7GQ042QtOzgbG8kSbqoRZ2pc5HTDIAE/zjjjtqzxbLnREThJ4RA9frfN5lo+eNcVaje8Bwsdy4O6/uONWvWBGwvWbIEVqsVO3fuxPDhwyGEwMsvv4ynn37a3wv11ltvwWazYfny5Zg6dSocDgcWL16MZcuW4dZbbwUAvP3220hLS8Pnn3+O0aNHw+Px4JFHHsELL7yAyZMn++/Xu3fvsD1LMHyX3Q4JIXw9Wi31TrkFlANVLSdaZjVU18ZBc1dX6B7vBd3Pr4BmdDJUmbFMtNqxc4s6S/bgizZLdt/xUBZ1po5J0qkgpZz/ORClTogaTxRbRJHQeFi5G8rJimaHlRMRtcRzah88pQdaF1uyH56SfS0HXgSHwwEASEhIAADk5+ejuLgYo0aN8sfodDqMGDECW7ZsAQDs3LkTbrc7IMZutyMrK8sf89///hcnT56ELMu49tprkZKSgu9///uNhiOGG3u22iFxoq5Vw8eapJchZ8ScHxqYEJ71rujSu5SLOtPlTU43wtvg74ZyrBaqvuYotojCSSmthvvjvUBNg8XQnV643twOKcUMze1ZkLvERq+BRHTZch3dFFp8/iZobFkRaYsQArNmzcKwYcOQleW7R3FxMQDAZrMFxNpsNhQUFPhjtFot4uPjG8WcO//IEd+cszlz5mDhwoXo3r07/vjHP2LEiBE4dOiQP7kLNyZb7ZA3r/lu3EYk3xutc0MDJbseksw34R2FJEmAWgZwNtnSqy75os7U/snpMfBuLfNvKwVMtjoKpbQarqXbgfrgvZWiqBKupduhve96JlxEFDLhDO19Z6jxoZgxYwZ2796NzZs3Nzp24QfMQogWP3RuGKMovpEBTz/9NO666y4AviGLqamp+Oc//4mpU6eG4xEa4Riy9ijENZPka+KgndQd6uFdIKcamGh1QJJZDVg0gEXj+zfRBS5cQqCjztvqbIQQvh6tJhItv3oP3B/v5ZBCIgqZpAutonGo8a01c+ZMrF69Ghs2bEBqaqp/f3JyMoDzPVznlJSU+Hu7kpOT4XK5UF5e3mRMSkoKAKBfv37+4zqdDj169MCxY8fC/0BnMdlqj0JcM0mKUUWoIdRe6CZnQP9oJvSPZl70otbUMUlGFSSrzr8tiush6r3NnEHRJoSAqHdDOVMD5Xg5vAdPwfPf4/B8+R3cnx2Ea+VuuP6xDaKosnXXK6qEKHREuNVE1NFouw8PLT4jtPiWCCEwY8YMfPjhh1i/fj0yMgLf52RkZCA5ORnr1q3z73O5XMjNzcXQoUMBAAMGDIBGowmIKSoqwt69ewNidDpdQFl5t9uNo0ePIj09PazP1BA/Im+HVL1N8G4+0/p4rrFERDg7b6vE6dsQgHK8DqrMjjGsrKniEJLd0q7mLgqXB6LWBdS4IWpdEDUuoNYV+O8a19kYF6CEtyfKu68Ycte4sF6TiDo2te1KqLv0bVWRDLW1H9TWK8N6/+nTp2P58uVYtWoVTCaTvwfLYrHAYPDNT8/JycHcuXORmZmJzMxMzJ07F0ajERMmTPDHTp48GY899hgSExORkJCAxx9/HP379/dXJzSbzfjZz36GZ555BmlpaUhPT8cLL7wAAPjRj34U1mdqiMlWO8Q1loioLeR0I7w7zg+hUApqOkSyFc3iEMKjBCZIFyRL4oJjcIc2DDzcvDuOQZRUQe5thaqXFZKFrw9E1DxJkhB782+aXWcLACStCbE3/TrsH3AtWrQIAJCdnR2wf8mSJZg0aRIAYPbs2airq8O0adNQXl6OwYMHY+3atf41tgDgpZdeglqtxj333IO6ujrccsstePPNN/1rbAHACy+8ALVajYkTJ6Kurg6DBw/G+vXrGxXWCCdJcIB3q1RWVsJiscDhcMBsjvyk85bW2QIA6GWW/iYiP1HlhvOP3/q3pTTDZT/stKXiEAAAvbrVxSGEogC1Z3udLkiYUOtulEjBeXmX0JeSzVD1tkLubYWUFNOuegGJKHzq6+uRn5+PjIwM6PVte1/oKTuC6vW/D9rDpbb2Q+xNvw77gsbtXXPf19bmBuzZaqfOrbHk/qgwaA+XZNdDM97ORIuI/CSTBlKCFqLM1wMkTtZBuJTLdj29kIpDrNwN9eg+QJ0vYfInURcM5UNt6xeAjxi1DMRoIRm1kM7+f8NtGM//Wymvg/vtHW2+lSiuhKe4Esg9DCnB6Ovx6m1td8MviSj61Ak9YLnrH/CU7IMrfxOEswqSzgRtxnCorVfyb0YbMdlqx/xrLC064lu4WMC3xtKPU7nGEhEFJacb4T2bbEEBlJN1UGXERLdRbSQKHa0vDlFaDffbX0e4RU2QJV+CFNM4WfLvN2rOJ1Ta1r/0yiYdpBRz674PMVpAJQGVzqCHRVktvFuPwrv1KGDSQdXL1+Mld4uHpLo8E3IiCi9JkqCxZUVsHa3OiMlWOydJEvTTroh2M4joMiF3N8L7TYV/WxTUApdpsuU9VBqdG0sADJoGvU46SEZN8B6oGC2gU0fswy9JkqC5Pat1QynvHQgpKQbiVBW8eSVQ8kogSquDx1c54d15HN6dxwG9GnJmF6h62yD3SISkYYVbIqJwYbJFRNSByOkXrrdVA6BLdBpzserCOORPrw5MlppInCSj1pdotaP1CuUusdDed71vHa0gPVwXFgmRks2Qk83AiJ5Qymqh5J2CN68E4mQTZeHrPVD2FEHZUwSoZchXJPnmefXsAsmgieSjERF1eEy2iIg6EClO61sA2+FLVJTjdRAeAUndfpKHVgvxjb7U1QJV3+SzyZMmMJG6zIfJyV1ioX1gMJx/yj1flVGngvanA5qdfyUnGCEPyYB6SAZElRPeQyVQDpVAOVoWvOy8R4FytlcMsgQ5PR5yr7PzvEycI0xEFComW0REHYycboSy+2wvhkdAFNVBSjM2f1I7pOrVBd4t+a2O14zs3aHXmJIkyVdc4xy9JqTnlUw6qAekAQPSfIspHz4Nb94pKN+dDl6yXhFQ8sug5JfB89lBSHaLv7KhnHh5Dk0lIrrUmGwREXUwAckWAKWgFvJlmGxJdkuri0NIKWZIdsslaFXHIOk1UGWlQJWVAuH2Qsk/AyWvBN5vS5scvikKHfAUOoAN30JKijlb2dAGKdnEgk1ERE1gskVE1ME0nrdVCwyLUmMuQijFITS3Z/ENfxtJGhVUvXyLIKsVBcqxCv88L1Q1UdnwdA28p/Ph/U8+YNaf7/FKi4MkX95DNomIwonJFhFRByMlaoEYFVDjBQAox2ohFNGuij60VqjFIejiSLIMVfcEqLonQD2qD0RR5fnKhmdqgp9UWQ/vjmPw7jgGGDVQ9eziS7x6JEJSh7eyofOt7RBVvrUnJZMeuvuvD+v1iYjCjckWEVEHI0mSbyjh/irfDqcCcaoeUoohug1ro7YWh6CLI0kSJLsFst0C3JQJ5XTN+cqGTQ3trHXDu7sQ3t2FgEbVoLJhEiT9xVc2FFX1gMOXbAUp70FEF0kIgdrT++A4sQleVxVUWhMsqcNhTOKixm3Fvn4iog5ITg8sYKAU1EapJeHRVHEIvvhfOnJSDNQ39oDuwRugmzkc6lF9IHdPAJr6b+D2Qjl4Cu5Ve+B8aSNc7+6E578nIKqDD00kouiqqziCQ58+iG8/ewgl+5bizLcrUbJvKb797CEc+vRB1FUcich9582bh0GDBsFkMsFqtWL8+PHIy8sLiBFCYM6cObDb7TAYDMjOzsa+ffsCYpxOJ2bOnImkpCTExMRg3LhxOHHihP/4xo0bfR8iBfnasWNHRJ4NYLJFRNQhBZ23RZc9yaQHLL6vaJZil8x6qAd1g/begdDljIDm9ish9+oSmBA3pAgoR87A8+l+OP+UC+db2+HZdhRKOX8uidqDuoojOLx2KurKDgQ/XnbAdzwCCVdubi6mT5+Obdu2Yd26dfB4PBg1ahRqas4PXV6wYAEWLlyIV155BTt27EBycjJGjhyJqqoqf0xOTg5WrlyJFStWYPPmzaiursbYsWPh9fqG1A8dOhRFRUUBXw899BC6d++OgQMHhv25zuEwQiKiDkiy6gC9DNT7SnorBbUQQrAn6DLXHucoSUYtVFd1heqqrhAuD5QjZ3zzvA6XNlnYRJyogOdEBfDFIUjW2POVDa2xTf6MCiEAT4MS9fVuKCcrOJSU6CIJIXBsy+/hdVU1G+d1VeH41ueQOWZxWH/n1qxZE7C9ZMkSWK1W7Ny5E8OHD4cQAi+//DKefvpp3HnnnQCAt956CzabDcuXL8fUqVPhcDiwePFiLFu2DLfeeisA4O2330ZaWho+//xzjB49GlqtFsnJyf77uN1urF69GjNmzIjo3xD2bBERdUCSLEHu1qB3q9YLcdoVvQZRpyBp1VD1sUF7R3/ocrKh+ekAqK5LBWJ1TZ4jSqrh/fIIXG9shetvm+H+PA/K8XKIBosuK6XVcC356vycPQBweuF6cztcS76CUlodycci6tBqT+9rskerUeyZ/ag9s6/lwIvgcPiWLklISAAA5Ofno7i4GKNGjfLH6HQ6jBgxAlu2bAEA7Ny5E263OyDGbrcjKyvLH3Oh1atX4/Tp05g0aVKEnsSHPVtERB2UnG6Ecuj8m1CloBZyl6bf9BKFk6SSoeqRCFWPRKjHCIhCh6/H62AJRBPDB0VFHbxfFcD7VQEQo4UqswukZBM8Gw4DziZ6yYoq4Vq6Hdr7rmdVSqI2cJzYFFr88U2IScqKSFuEEJg1axaGDRuGrCzfPYqLiwEANpstINZms6GgoMAfo9VqER8f3yjm3PkXWrx4MUaPHo20tLRwP0YAJltERB1U43lbNcDA+Cai2z/JpPdXoIvmfCUKnSRJkLrGQe4aB3FTJkRptW8R5bwSiFNNDF2qccG762TrblDvgfvjvdA+MJhDColC1NLwwYuND8WMGTOwe/dubN68udGxC3+3WzM0vqmYEydO4LPPPsP7779/cQ1uBSZbREQdlJRiADQS4PalKMrRy3veVnucr0ShkyQJktUE2WqC+ntXQKmog3LobOJ1vLzNNd1FUSVEoQNS17iwtpeoo1NpTRGNb62ZM2di9erV2LRpE1JTU/37z82zKi4uRkpKin9/SUmJv7crOTkZLpcL5eXlAb1bJSUlGDp0aKN7LVmyBImJiRg3blxEnqUhztkiIuqgJJUEOa1B71aVB6LCHb0GEQUhxxmgvj4duomDoHskG+of9IPcMwlQhf6hgPdQaQRaSNSxWVKHhxafFlp8S4QQmDFjBj788EOsX78eGRkZAcczMjKQnJyMdevW+fe5XC7k5ub6E6kBAwZAo9EExBQVFWHv3r2Nki0hBJYsWYL77rsPGs3Fr//XEvZsERF1YHK6EcqR8+VzRUEtEK+NYouImibFaKG+JhW4JhXC6YH7/+2CcrSs9Reo44cJRKEyJl0JQ0LfVhXJMCb2gzHxyrDef/r06Vi+fDlWrVoFk8nkn2NlsVhgMBggSRJycnIwd+5cZGZmIjMzE3PnzoXRaMSECRP8sZMnT8Zjjz2GxMREJCQk4PHHH0f//v391QnPWb9+PfLz8zF58uSwPkdTmGwREXVgwdbbUl0TF53GEIVA0qkh2S1AKMmWIfKfUhN1NJIkodvQ3+Dw2qnNzsdSaU1IG/LrsA9FX7RoEQAgOzs7YP+SJUv8lQJnz56Nuro6TJs2DeXl5Rg8eDDWrl0Lk+n8kMaXXnoJarUa99xzD+rq6nDLLbfgzTffhEqlCrju4sWLMXToUPTt2zesz9EUSQjRxtHRnUtlZSUsFgscDgfMZnO0m0NE1CrCrcD5fB7g9f2pl+I10D2SGeVWEbWOcrICrje3tzpeO+l6yJyzRZ1QfX098vPzkZGRAb2+bQWE6iqO4NiW3wft4TIm9kPakF/DENfjYpt6WWnu+9ra3IA9W0REHZikkSF1NUAc85XaFuVuiEo3JDN7AKj9k+wWSClmiKLKlmNTzL6eMCJqE0NcD/T6/j9Qe2YfHMc3weuqgkprgiVtOIyJV162xZWijckWEVEHJ6cb4T12fl0jpaAWqv58U0rtnyRJ0NyeBdfS7UB98HW2AAB6NTS3Z/HNINFFkiQJMUlZEVtHqzNiNUIiog4u2LwtosuF3CUW2vuuh5QSfJiOlGLmgsZE1G4x2SIi6uDkNAPQ4AN/Jlt0uZG7xEL7wGAgpkElTZ0K2knXQ/vAYCZaRNRuMdkiIurgJJ0KUsr5ib2i1AlR08yQLKJ2SJIkQN3gbYteA7lrHIcOElG7xmSLiKgTaDSU8Bh7t+jyI5n0gMX3JZnaVnGNiOhSYoEMIqJOQE6PgXfr+fWKlIJaqPpyGQu6vOjuvz7aTSAiCgl7toiIOgG5G4tkEBERXWpMtoiIOgHJqIJk1fm3RXE9RL03ii0iIiLq+DiMkIiok5DTjfCWOH0bAlCO10GVySpuRETkI4SAo2wvThVtgsdVBbXWBFvKcFgSuI5dW7Fni4iok2i83lZNlFpCRETtTVXlEWzd8AC2bXwI+XlLcTx/JfLzlmLbxoewdcMDqKo8EpH7zps3D4MGDYLJZILVasX48eORl5cXECOEwJw5c2C327HxoeUoePJLVC3YB+fifH+M0+nEzJkzkZSUhJiYGIwbNw4nTpwIuM6hQ4dwxx13ICkpCWazGTfeeCM2bNgQkec6h8kWEVEnwcWNiYgomKrKI/hq48OoLD8Q9Hhl+QF8tfHhiCRcubm5mD59OrZt24Z169bB4/Fg1KhRqKk5/4HgggULsHDhQrzyyisY0Otq2PSJ0NRKUBwuf0xOTg5WrlyJFStWYPPmzaiursbYsWPh9Z4fMv+DH/wAHo8H69evx86dO3HNNddg7NixKC4uDvtznSMJIUTErt6BVFZWwmKxwOFwwGxmBS8iujw5/3wYouzsi5MM6J7qA0nDz92IiC5n9fX1yM/PR0ZGBvT60JZFEEJg64YHmky0GrLE98MNN/0jokMKS0tLYbVakZubi+HDh0MIAbvdjpycHDzxxBOof+lbwOEGAFSr6pH0m+vgcDjQpUsXLFu2DD/+8Y8BAIWFhUhLS8O///1vjB49GqdPn0aXLl2wadMmfO973wMAVFVVwWw24/PPP8ctt9zSqC3NfV9bmxvwFZaIqBMJ6N1SAOVEXfQaQ0REUeco29uqRAsAHOX74SjfF9n2OBwAgISEBABAfn4+iouLMWrUqEax9fW+ecg7d+6E2+0OiLHb7cjKysKWLVsAAImJiejbty+WLl2KmpoaeDwevPbaa7DZbBgwYEDEnocFMoiIOhE53QjvNxX+bVFQC2TERK9BREQUVaeKNoUWX5iLuISsiLRFCIFZs2Zh2LBhyMry3ePcED+bzQYhBOBR/PEGSQvleC2Ki4qh1WoRHx8fcD2bzeY/X5IkrFu3DnfccQdMJhNkWYbNZsOaNWsQFxcXkecBmGwREXUqEudtERFRAx5XVUTjQzFjxgzs3r0bmzdvbnRMVa7A9Uk+UHN+DlaM2gDX4qO4SdcLfZJ6NDpHCOEf8iiEwLRp02C1WvHll1/CYDDgjTfewNixY7Fjxw6kpKRE5Jk4jJCIqBOR4jSA+fznbMrxWggPp+4SEXVWaq0povGtNXPmTKxevRobNmxAamqqf39ycjL6drkCsR85IArrg54b7zRizf/9AxWHSwL2l5SUwGazAQDWr1+PTz75BCtWrMCNN96I6667Dn/7299gMBjw1ltvReSZACZbRESdiiRJkNMbDBv0CIgiztsiIuqsbCnDQ4u3jwjr/YUQmDFjBj788EOsX78eGRkZAce7d++OJXcvgMrdfFGOeIMFdf/vGM7V/isqKsLevXsxdOhQAEBtrW8khywHpj+yLENRFEQKky0iok6GJeCJiOgcS0IWzPF9Wxcb3w+W+CvDev/p06fj7bffxvLly2EymVBcXIzi4mLU1Z39IPBkPa629mnVteLrjdj+0Zf45ptv8H//93/o378/br31VgDAkCFDEB8fj/vvvx//+9//cOjQIfzyl79Efn4+fvCDH4T1mRpiskVE1MnI3ZlsERGRjyRJ6D/wt1Brmh8eqNaYkDXwN2Ev+75o0SI4HA5kZ2cjJSXF//Xee+8BALx5oc0R27R4DW688UYYjUZ8/PHHUKlUAICkpCSsWbMG1dXVuPnmmzFw4EBs3rwZq1atwtVXXx3WZ2qIBTKIiDoZKVELxKj8k4yVY7UQioAkR27dFCIiar9M5h4YnP069nz9u6Bl4C3x/ZA18DcwmRsXobhYLS75WxfaEL+cqTPxy0/mBj02cOBAfPbZZyFd72Ix2SIi6mR887aMUPaf/bTQqUCcqoeUYohuw4iIKGpM5h4YctMSOMr34VRhLjyuKqi1JtjsI2CJvzKiCxk3RdR7oRSHOK/Y0L4G7jHZIiLqhOT0mPPJFnxDCWUmW0REnZokSYhLyIrYOlqtJTwC3q/L4Mk9DdR5Wz6hAVWfyFRLbCsmW0REnVDQIhk3JEapNURERL4hhcr+Kni+KIEoc4V8vmTXQ+ravj44ZLJFRNQJSVYdoJeBet9YeKWgNmDxRyIioktJOVYL99pTECeaGDYoA2hu+pZehma8vd29jjHZIiLqhCRZgtzNCOVQtW9HrRfitAtSF110G0ZERJ2KcsYJz+clUA4ErzoopRuhGWUDNBLcHxUGXdhYsuuhGW+HbNVHurkhY7JFRNRJyekNki2cnbfFZIuIiC4BUeOBJ7cU3q/Lg/ZYSUlaqEfaIPeK9fdWaadkwPniIX81XehkaCd2g9TV0O56tM5hskVE1Ek1nrdVAwyMj1JriIioMxBuBd5tZfBsPg04g2RZMSqob7JCdW0cJFVgAiVJEqCWAZxNtvQqyKnGxtdoR5hsERF1UlKKAdBIgNu3xolylPO2iIgoMoQioOx2wL2+BKj0NA7QSFANSYT6xkRIOtWlb2CEMNkiIuqkJJUEOc0I5UiNb0eVB6LCDSleG92GERFRh+L9rhqetacgTjkbH5QA1TVxUN/UBZJZc+kbF2Hta9UvIiK6pC4cSigKaqPUEiIiijYhBErK92DHgb/iP7ufx44Df0VJ+R4IIdp0PeVUPVxvF8C97FjQREvuGYul6vUY+twdMHdNgNVqxfjx45GXl9eoXXPmzIHdbse2fTtwqv4M3EYByXy+38jpdGLmzJlISkpCTEwMxo0bhxMnTgRc57///S9GjhyJuLg4JCYm4uGHH0Z1dTUiickWEVEnFnS9LSIi6nTKq45g9eYH8PF/HsLu75bi4LGV2P3dUnz8n4ewevMDKK860upriUo33KsK4Xr1CJTDNY2OS8l6aO7rBu3/dcOHX36C6dOnY9u2bVi3bh08Hg9GjRqFmprz5y1YsAALFy7EK6+8gqScq/DE0b+i98sj4bonyR+Tk5ODlStXYsWKFdi8eTOqq6sxduxYeL2++V2FhYW49dZb0bNnT3z11VdYs2YN9u3bh0mTJrX9m9YKkmhrqtrJVFZWwmKxwOFwwGw2R7s5RERhIdwKnM/nAV7fS4GUoIXuFz2j3CoiIgpFfX098vPzkZGRAb0+9PLn5VVH8MmWh+FyBy+/DgBajQljh76OeFOPJmOE0wvPf87Au+UM4AmSYpjV0NxihdzfAkkOPj+4tLQUVqsVubm5GD58OIQQsNvtyMnJwRNPPAHA14tls9kwf/58TJ06FQ6HA126dMGyZcvw4x//GIAvuUpLS8O///1vjB49Gq+//jp+85vfoKioCLLs62/atWsXrr32Wnz77bfo2bPxa19z39fW5gZR7dmaN28eBg0aBJPJ1GS34aRJkyBJUsDXDTfcEBDTmm7D8vJyTJw4ERaLBRaLBRMnTkRFRUWkH5GIqF2TNDKkrudfQESZC6LSHcUWERHRpSSEwKZdv2s20QIAl7sKm3b9PuiQQuEV8Owog/PPh+HddLpxoqWTob7VCt3MnlBdHddkogUADocDAJCQkAAAyM/PR3FxMUaNGnX+cjodRowYgS1btgAAdu7cCbfbHRBjt9uRlZXlj3E6ndBqtf5ECwAMBgMAYPPmzc0++8WIarKVm5vbYrchAIwZMwZFRUX+r3//+98Bx1vqNgSACRMmYNeuXVizZg3WrFmDXbt2YeLEiZfkOYmI2jM5PSZgWznGoYRERJ1FacVenHYcaFXsacd+lFbs828LIeA9WAXX376D51/F59e/OkcGVIMToPtFT6iHJUHSNJ96CCEwa9YsDBs2DFlZWQCA4uJiAIDNZguItdls/mPFxcXQarWIj49vMubmm29GcXExXnjhBbhcLpSXl+NXv/oVAKCoqKhVz98WUa1GuGbNmoDtJUuWwGq1YufOnRg+fLh/v06nQ3JyctBrOBwOLF68GMuWLcOtt94KAHj77beRlpaGzz//HKNHj8aBAwewZs0abNu2DYMHDwYA/P3vf8eQIUOQl5eH3r17N7qu0+mE03l+Il9lZeVFPy8RUXskpxvh/fL8tlJQC1WWJXoNIiKiS6ageFOI8bmwxmdBOVEH99pTEE18QCf3M0F9iw1yYusr3M6YMQO7d+8O2tN04bIkrVmqpGHMlVdeibfeeguzZs3CU089BZVKhV/84hew2WxQqSJXar5dFci4sNvwnI0bN8JqtaJXr16YMmUKSkpK/Mda0224detWWCwWf6IFADfccAMsFos/5kLz5s3zDzm0WCxIS0sL23MSEbUncpoBaPB6xSIZRESdR0vDBxup8ML1zxNwvZEfNNGSUg3QPtgd2nvSQkq0Zs6cidWrV2PDhg1ITU317z/X4XKuh+qckpISf29XcnKyv7eqqRjAN9KtuLgYJ0+exJkzZzBnzhyUlpYiIyOj1e0MVbtJtoJ1GwLA97//fbzzzjtYv349/vjHP2LHjh24+eab/b1Orek2LC4uhtVqbXRPq9Xa6D/cOU899RQcDof/6/jx4+F6VCKidkXSqSClNJi3VeKEqA2y4CQREXU4Wo2pdXGeGFx3/Ce4ct3NUPY1HvElJWihuScV2sndIXczBrlCcEIIzJgxAx9++CHWr1/fKPHJyMhAcnIy1q1b59/ncrmQm5uLoUOHAgAGDBgAjUYTEFNUVIS9e/f6Yxqy2WyIjY3Fe++9B71ej5EjR7a6vaFqN4saN9VteK6iCABkZWVh4MCBSE9Px7/+9S/ceeedTV7vwq7FYN2MzXU/6nQ66HS6UB+DiOiyJKcb4S2s928rx+qg6tO6F2AiIrp8pScPx+7vljZ5XFbU6F1yK64sGgudN6ZxgEEFdXYXqAbEQ1I3P6wvmOnTp2P58uVYtWoVTCaTvyPEYrHAYDBAkiTk5ORg7ty5yMzMRGZmJubOnQuj0YgJEyb4YydPnozHHnsMiYmJSEhIwOOPP47+/fv7pxkBwCuvvIKhQ4ciNjYW69atwy9/+Us8//zziIuLC7ndrdUukq1z3YabNm0K6DYMJiUlBenp6fj2228BBHYbNuzdKikp8WeyycnJOHXqVKNrlZaWNppsR0TUGcnpMfBuLfNvK0drmGwREXUCXeKykGTp27hIhpDQvWwwrj55F2JdSY1PVEtQ3ZDgK3yhb/ucp0WLFgEAsrOzA/YvWbLEvwbW7NmzUVdXh2nTpqG8vByDBw/G2rVrYTKdf5166aWXoFarcc8996Curg633HIL3nzzzYD5WNu3b8czzzyD6upq9OnTB6+99lrEC+ZFdZ0tIQRmzpyJlStXYuPGjcjMzGzxnDNnzqBr1654/fXXcd999/nr6r/99tu45557APi6DVNTU/119Q8cOIB+/frhq6++wvXXXw8A+Oqrr3DDDTfg4MGDQQtkXIjrbBFRRyZqvXAuOL/0hpSih25q02upEBFR+xHudbaslb1x3YkfI7E2+Fwm+WoLNDdbIVk0F9Xu9i4c62xFtWerpW7D6upqzJkzB3fddRdSUlJw9OhR/OpXv0JSUhJ++MMf+mNb6jbs27cvxowZgylTpuC1114DADz88MMYO3ZsqxItIqKOTjKqIFl1ECW++bCiuB6i3ntRn1YSEdHlId7UA2OHvo6dm/+K7gcHINVxTdA4uUcM1COtkFMMl7aBl7GoJlstdRuqVCrs2bMHS5cuRUVFBVJSUnDTTTfhvffeC7nb8J133sEvfvELf9XCcePG4ZVXXon8QxIRXSbkdCO8Z5MtCEA5XgdVZmx0G0VERBEnqjyI3ajHsP9OBoKMeZOsOqhH2iD3jGmx3DoFiuowwssJhxESUUfn3euA+/+d9G+rhiVCcyvntRIRtXdtHUYoXAq8W87A85/TgDtIShCrhvrmLlBdEwdJ7nxJ1mU/jJCIiNoPOT2wVC/X2yIi6piEV8C7qwKeDaVAdZClPrQy1DcmQjUkEZK23awUdVliskVERAAAyaSBlKCFKHMBAMTJOgi3AknDF1oioo5ACAHl22p41pVAlDobB0iAakA81NldIMUyTQgHfheJiMhPTjfCezbZggIoJ+qgygiyrgoREV1WlMI6eNaegnI0+KgFuXcs1LfaIHfhOrPhxGSLiIj85HQjvN9U+LdFQS3AZIuI6LIlKlxwry+FstsR9Lhk10Mzyga5O//WRwKTLSIi8pM4b4uIqEMQdV54vjwN71dlgLdx8QspTgP1LVbIV5o7ZfGLS4XJFhER+UlxGsCsBip9E6aV47UQHgFJzRdiIqLLgfAIeL8ugyf3NFDnbRygl6Ee3gWq6+MhqTknN9KYbBERkZ8kSZDTY6DsOTvcxCMgiuogpRmbP5GIiCJOCAFxog7evCqgTgEMMlS9TUCSBAgBHKyGK/c4RLm78ckqCarr46H+XhdIRi5Yf6kwnSUiogAsAU9E1P4oJfVw/T0frsVH4d18Bt6d5fBuPgPX4qPA30/A/hmAj0qCJlpylhnaGVdAMzq52URLCIGjjj345PBf8c+Dz+OTw3/FUcceRHJZ3nnz5mHQoEEwmUywWq0YP3488vLyGrVrzpw5sNvtMBgMyM7Oxr59+wJiXn/9dWRnZ8NsNkOSJFRUVDS6V3l5OSZOnAiLxQKLxYKJEycGjQsnJltERBSAyRYRUfuilNTD9Y+jEIX1wQPK3NAFqX8hpRuhnZIB7d2pkOO1zd6juPoIXt7xAP789UNYX7AUW0+uxPqCpfjz1w/h5R0PoLj6SBiepLHc3FxMnz4d27Ztw7p16+DxeDBq1CjU1NT4YxYsWICFCxfilVdewY4dO5CcnIyRI0eiqqrKH1NbW4sxY8bgV7/6VZP3mjBhAnbt2oU1a9ZgzZo12LVrFyZOnBiR5zpHEpFMVTuQ1q4STUR0uRNCwPnCIaD27Fh/nQzdE705gZqIKAqEEHD9Pb/pRCsIKUnrK+PeOxaS1PLf7uLqI/jLzodR56lqMsagNmHmgNeRHNuj1e1oi9LSUlitVuTm5mL48OEQQsButyMnJwdPPPEEAMDpdMJms2H+/PmYOnVqwPkbN27ETTfdhPLycsTFxfn3HzhwAP369cO2bdswePBgAMC2bdswZMgQHDx4EL17927Ulvr6euTn5yMjIwN6vT7gWGtzA/ZsERFRAN+8rQa9W04F4lSQxS+JiCjixIm6kBIt1dAEaH9+BVR9TK1KtIQQeHf/75pNtACgzlOFdw/8PqJDCgHA4fB10SUkJAAA8vPzUVxcjFGjRvljdDodRowYgS1btrT6ulu3boXFYvEnWgBwww03wGKxhHSdUDHZIiKiRhoPJaxpIpKIiCLJe6D5JKgRWYKkav1IhILKvThedaBVsccr9+NY5b6WA9tICIFZs2Zh2LBhyMrKAgAUFxcDAGw2W0CszWbzH2uN4uJiWK3WRvutVmtI1wkVky0iImpETg9c3JLztoiILi3hcMO9vgTe7WWhnVinhBS+t3RTSPF7SnNDig/FjBkzsHv3brz77ruNjl3YSyeEaFXPXXPXaOt1QsHS70RE1Ihk0wF6Gaj3vWgrBbURf0EiIurshCKgHKmBd0c5lENVQFtG7BlC60tpafjgxca31syZM7F69Wps2rQJqamp/v3JyckAfD1TKSkp/v0lJSWNeruak5ycjFOnTjXaX1paGtJ1QsWeLSIiakSSJcjdGgwlrPVCnHZFr0FERB2YqPXA85/TcP3lMNxvH4OS18ZEC4CqjymkeIM6svEtEUJgxowZ+PDDD7F+/XpkZGQEHM/IyEBycjLWrVvn3+dyuZCbm4uhQ4e2+j5DhgyBw+HA9u3b/fu++uorOByOkK4TKvZsERFRUHK6Ecqhav+2UlALuYsuii0iIuo4zi1Q7NlRDmVfJeBtJrvSyYCzFcMDU3SQuhpCakdWl+FYX7C01fH9u4wI6fotmT59OpYvX45Vq1bBZDL5509ZLBYYDAZIkoScnBzMnTsXmZmZyMzMxNy5c2E0GjFhwgT/dYqLi1FcXIzDhw8DAPbs2QOTyYRu3bohISEBffv2xZgxYzBlyhS89tprAICHH34YY8eODVqJMFyYbBERUVBBi2QMjI9Sa4iIOgbhVODd44B3R1nzlV71MlTXxkE1IB5QBFz/OOof2h2MVwOobusS8nDvdHMW0kx9W1UkI83cD93MV4Z0/ZYsWrQIAJCdnR2wf8mSJZg0aRIAYPbs2airq8O0adNQXl6OwYMHY+3atTCZzveyvfrqq3j22Wf928OHD290nXfeeQe/+MUv/JUNx40bh1deeSWsz3MhrrPVSlxni4g6G+EVcD5/EHCffZkwqaGblcl5W0REbaCcqof363J4/+cAXE0nTVJXA9SD4iFfaYakOT/jRymph/ujwuBl4FN0OHG1E6nX9Gi0HlRrtKd1ttqTcKyzxZ4tIiIKSlJJkNOMUI6cLfte5YGocEOK10a3YURElwnhUaDsr4Ln6zKIY3VNB2okqPpboBoUDzkl+DBA2aqHdkoGxMk6eA9W+aoOGmSo+pjgSpTgPnq0ze1Mju2BmQNex7v7fxe0hyvN3A8/7fubTpVohQuTLSIiapKc3iDZAiAKagEmW0REzVLKXb5erG8qgFpvk3FSkhaqQQlQXW2BpFe1eF1JkiClGiGnBg7zRn3rFz1uSnJsD+QMWoJjlfuwpzQXdZ4qGNQm9O8yAt3MV3JUQxsx2SIioiY1nrdVC9U1cdFpDBFROyYUAeXbani/LofybXXTgTIg9zVDPSgeUrqxXSUxkiQh3ZKFdEtWtJvSYTDZIiKiJkldDYBK8lfJ4uLGRESBRLUH3v+Ww7OzAnC4mw60aKAeEAfVdfGQYvkWvLPgf2kiImqSpJEhddX75xqIMhdEpRuSWRPllhERRY8QAqKg1le2/UAl0ExVdjkzFqqB8ZAzYyHJ7acXiy4NJltERNQsOT0G3gYTu5VjtVBlWaLYIiKi6BD1Xnj/54D363KI0mbKthtVUF3nK9suc55rp8Zki4iImiWnG+H98vy2UsBki4g6F6WwzlfwYo/j/HIYQUjdjL6y7X1NkNRyk3HUeTDZIiKiZslpBkACcPb9BedtEVFnINwKlH2V8OwogzjZTLU/rQzV1RbfUEFb6GtcUcfGZIuIiJol6VSQUvT+hTRFiROi1gPJyJcQIup4lDPO82Xb65tZfNim85Vt72+BpGMvFgXHV0oiImqRnG6Et/D8J7vKsTqo+pii2CIiovARXgElr8pXtr3B2oKNqCTIV54t255qaFdl26l9YhpOREQtktNjAraVgmbejBARXSZEpRvuDSVwvvwt3O+faDLRkuI1UI+0QvdYJrR3doWc1r7WxwoXIQT2Vh7B3/JXYv637+Bv+Suxt/IIhGh6ntrFmjdvHgYNGgSTyQSr1Yrx48cjLy+vUbvmzJkDu90Og8GA7Oxs7Nu3LyDm9ddfR3Z2NsxmMyRJQkVFRaN7/eEPf8DQoUNhNBoRFxcXsWdqiD1bRETUIrmbIWCb87aI6HIlFAElvwbeHeVQ8qr881EbkQC5t8k3F6tHTIcv236kphC/z3sLB6oLAvYvPf4Z+sam4ze970ePGHvY75ubm4vp06dj0KBB8Hg8ePrppzFq1Cjs378fMTG+D/oWLFiAhQsX4s0330SvXr3w3HPPYeTIkcjLy4PJ5BtlUVtbizFjxmDMmDF46qmngt7L5XLhRz/6EYYMGYLFixeH/VmCkUQkU9UOpLKyEhaLBQ6HA2azOdrNISK65Jx/+w6i5GypYwnQPdkbkk4V3UYREbWSqPXAu+ts2fYyV9OBsWqoBsRBfV08JMvlsaZgfX098vPzkZGRAb0+9CIdR2oKMfV/L6LK0/QHaSa1Ea9d/XhEEq6GSktLYbVakZubi+HDh0MIAbvdjpycHDzxxBMAAKfTCZvNhvnz52Pq1KkB52/cuBE33XQTysvLm+y9evPNN5GTkxO096uh5r6vrc0N2LNFREStIqcb4T2XbAlAOV4HVc/Y6DaKiDoV5+J8iEoPAEAyq6GbnNFsvBAC4kQdPF+XQ9lbCXib7mOQM2KgGhQPubcJkqpj92I1JITA7/PeajbRAoAqTy2eO/QWFl/zZESHUDocDgBAQkICACA/Px/FxcUYNWqUP0an02HEiBHYsmVLo2SrvWGyRURErSKnG+HdUe7fVgpqmWwR0SUjhPD1SNV4fdv1XijHa4MWqhAuBd49Dnh3lEMUN1O2XS9DdU2cb6hgki6SzW+39lXlNxo62JT9VQXYV3UUWebmk9y2EkJg1qxZGDZsGLKysgAAxcXFAACbzRYQa7PZUFDQunZHE5MtIiJqFTndGLDNIhlEdKkoJfVwf1ToT7QAAE4FrsVHIdn10Iy3Q7bqoZQ44f26DN7/OQBnM2Xb7Xpf2fYsMyRN564Xt+nM/0KM3xWxZGvGjBnYvXs3Nm/e3OhYo4RaiMuiSAmTLSIiahXJpIGUoPXPdRAn6yHcSqd/o0JEkaWU1MP1j6NNrnklCuvh+ns+kKQDiprpxVJLUPW3+IYK2g1Nx3UyLQ0fvNj41po5cyZWr16NTZs2ITU11b8/OTkZgK+HKyUlxb+/pKSkUW9Xe8RXSCIiarWA3i2vgHKiLnqNIaIOTwjh69FqZnFhAIBbNJloSUlaqMfYoHusFzR32JloXcCkNrYcdBHxLRFCYMaMGfjwww+xfv16ZGQE9pplZGQgOTkZ69at8+9zuVzIzc3F0KFDw9qWSGDPFhERtZqcboT3mwr/tiioBTJimj6BiOgiiBN1EIXN9FY1RQbkvmbfXKzuHXNNrHAZnng1lh7/LIT4a8J6/+nTp2P58uVYtWoVTCaTf46WxWKBweCbj5eTk4O5c+ciMzMTmZmZmDt3LoxGIyZMmOC/TnFxMYqLi3H48GEAwJ49e2AymdCtWzd/sY1jx46hrKwMx44dg9frxa5duwAAPXv2RGxsZOYgM9kiIqJWkxrN2+J6W0QUPsKlQJS5IM64IM444dlbGdoFdDLUNyZCdW08JBPf5rbGlaYM9I1Nb1WRjH6mdFxp6h7W+y9atAgAkJ2dHbB/yZIlmDRpEgBg9uzZqKurw7Rp01BeXo7Bgwdj7dq1/jW2AODVV1/Fs88+698ePnx4o+v89re/xVtvveWPufbaawEAGzZsaHT/cOE6W63EdbaIiHzDPZwvfQucLb0MtQTdk30gqfmpMRG1jvAKiIpzCdX5xEo54zr/t6WN5AFx0N4e2XWg2qOOtM5We8J1toiI6JKSJAlyegyUPb51UOAREEV1kNLCO4afiIILdZ2paBFCAFUeKA2SKX9iVe4CWpiC1VaSgQutt0WPGDteu/px/D7vraA9XP1M6fh1r/s7VaIVLky2iIgoJHK68XyyBd9QQpnJFtElISo9gMPt+3eU2wIAos4b0DPVsKcK7kvfQlUfU8tBFFSPGDv+ce2T2Fd1FJvO7EKVpxYmtRHDE6/BlabunPfWRky2iIgoJI3X26oFhkWpMUQUccLdcB6V70s521OFWm/LF2itWDWkRC3kRC2kRC2kRB2QoIFnZSFEcyXdz5LsekhdWWnwYkiShCxzRsTW0eqMmGwREVFIpCQtYFT532Qpx2ohFAFJ5qeeRJEkhAA8Dcbf1XuhHK+FlGq46F4HoQiICnejIX/KGZe/Jy0stPLZREp7NrHSnd/WBx8CKP3Q3uw6WwAAvQzNeDt7X6jdYbJFREQh8c3bMkI5UOXb4VQgTjkhpYQ+KZuIWkcpqfetN1XToCfJqcC1+Cgkux6a8XbI1uZ/B4UQQLU36JA/Ue4GvGEa9icDUoKvZ+p8UnW2pypWFXJCJFv10D7YHe6PCoOWgW/t8xNFA5MtIiIKWUCyBUApqIHMZIsoIpSS+mZ7dkSh77j2we6QrXqIem/AsD/l9PmeKrjCWJnComkw5K9BcmXRQFKFt4dJtuqhnZIB54uHziecOhnaid0gdb34nj2iSGGyRUREIZPTAxcyVgpqgRsSo9Qaoo5LCOHr0WpuCB0A1CtwvXEU0EiBvV8Xy6hqPNwvUevrudLI4btPK0iSBClBC6E+X41RTmVxHmrfmGwREVHIJJsO0MmA0/cGUCmohRCCny4ThZk4URd06FxQLgVwteEmGinokD8pUdvuSqm311L3RE1hskVERCGTZAlyNyOUb6t9O2q9EKddkLrootswog7Gm1fVclBryIAU33jIn5yoBUxqflBCFCFMtoiIqE3k9AbJFs6ut8Vkiyi86kKcY6WRIKcaAnqqpEQtpDht2OdREVHLLu1gWyIi6jCCrrdFRGElQqwQqBqcAO393aEZmwL1kESoepl8862YaFErCCGw11GMRd9twYK8DVj03RbsdRT7KllGyLx58zBo0CCYTCZYrVaMHz8eeXl5jdo1Z84c2O12GAwGZGdnY9++fQExr7/+OrKzs2E2myFJEioqKgKOHz16FJMnT0ZGRgYMBgOuuOIKPPPMM3C52jL2tvXYs0VERG0i2Q2+yfhu34uwUlDDeVtEYeTdVwllT0VI56j6mCLTGOrwjtScwXMHPsfBqpKA/cuO7UQfkxW/7nsresSEvxBSbm4upk+fjkGDBsHj8eDpp5/GqFGjsH//fsTE+IoxLViwAAsXLsSbb76JXr164bnnnsPIkSORl5cHk8n3M19bW4sxY8ZgzJgxeOqppxrd5+DBg1AUBa+99hp69uyJvXv3YsqUKaipqcGLL74Y9uc6RxKRTFU7kMrKSlgsFjgcDpjN5mg3h4ioXXAtLYBypMa/rX2kJ+R4bRRbRHT5E4qAZ2MpvJtOh3SeZPeVR+cHHp1PfX098vPzkZGRAb0+9GU4jtScwc//+wGqPM4mY0xqHRZdd1dEEq6GSktLYbVakZubi+HDh0MIAbvdjpycHDzxxBMAAKfTCZvNhvnz52Pq1KkB52/cuBE33XQTysvLERcX1+y9XnjhBSxatAhHjhwJery572trcwMOIyQioja7cCih4FBCoosinF643zsRcqIFvQzNeDsTLQqZEALPHfi82UQLAKo8TvzhwOcRHVIIAA6HAwCQkJAAAMjPz0dxcTFGjRrlj9HpdBgxYgS2bNly0fc6d59IYbJFRERtxnlbROGjlLngWnwUygUVCKUuOqgnpEGyB++xkOx6/4LGRKHaV3mq0dDBphyoKsH+ylMRa4sQArNmzcKwYcOQlZUFACguLgYA2Gy2gFibzeY/1hbfffcd/vKXv+BnP/tZ2xvcCpyzRUREbSZ1NQAqCfCem7fFZIuoLbz5NXC/fwKoC1yQWO4VC82dXSHpVVBlxsL54qHzixbrZGgndoPU1cAeLWqzL08HH0LXlE2nj+BKS3JE2jJjxgzs3r0bmzdvbnTswp/xi5kjXFhYiDFjxuBHP/oRHnrooTZdo7XYs0VERG0maWRIXc9/mi7KXBBV7ii2iOjyIoSAZ3sZ3EsLGiVaqu8lQfOTNEh638LCkiQB6gZv3fQqyKlGJlp0UVoaPnix8a01c+ZMrF69Ghs2bEBqaqp/f3KyL7G7sBerpKSkUW9XaxQWFuKmm27CkCFD8Prrr19co1uByRYREV0UOT0mYJu9W0StIzwCno+L4Pl3MdBwGoxaguaurtDcYoUkByZSklkNWDSAReP7N9FFMqlDWx8x1PiWCCEwY8YMfPjhh1i/fj0yMjICjmdkZCA5ORnr1q3z73O5XMjNzcXQoUNDutfJkyeRnZ2N6667DkuWLIEsRz4V4m8pERFdFDndCO+X57eVglqosizRaxDRZUBUe+B6/zjEsbrAA2Y1tD9Jg2w3BD1PNzkj6H6itvpeUg8sO7az1fHDk3qE9f7Tp0/H8uXLsWrVKphMJn8PlsVigcHgGyKbk5ODuXPnIjMzE5mZmZg7dy6MRiMmTJjgv05xcTGKi4tx+PBhAMCePXtgMpnQrVs3JCQkoLCwENnZ2ejWrRtefPFFlJaW+s8913sWCUy2iIjooshpBkCC/5N59mwRNU8pqodrxXHAETjkVkozQHtPGiQT357RpXOl2YY+JmurimT0NVnRzxz60L3mLFq0CACQnZ0dsH/JkiWYNGkSAGD27Nmoq6vDtGnTUF5ejsGDB2Pt2rX+NbYA4NVXX8Wzzz7r3x4+fHjAddauXYvDhw/j8OHDAcMUAUS0wiLX2WolrrNFRNQ05+tHIArr/du62b0gGfmGkehC3n2VcK88CXgC336pro2D+gfJkNSc4UGh60jrbLUnXGeLiIjahUYl4C8cGkXUyQlFwL2+BO5/nghMtCRAPcYG9bgUJloUNT1iErHourvQx2QNeryvydrpEq1w4ceORER00eT0GHi3lvm3lYIaqPqYmjmDqPMQTi/cKwuhHAxcPwt6GZofpUJ1RWx0GkbUQI+YRCwecA/2V57CptNHUOVxwqTWYXhSD/Qz21j1so2YbBER0UWTuwVO5ue8LSIfpcwF94rjECWBw7OkLjpofpIGOVEbpZYRNSZJEq60JEdsHa3OiMkWERFdNMmohmTV+d9QiqJ6CKcXkk4V5ZYRRU9rFiomoo6Ng4OJiCgsAuZtCUA5znlb1Dk1u1DxsMSAhYqJqGNjskVERGHRqEgGhxJSJ9TiQsW32hotVExEHReHERIRUVjI3S5Mtmqi1BKi6GjrQsVE1HEx2SIiorCQzBpICVqIMhcAQJysh3ArkDQcREEdHxcqJqJg+JtPRERhI6cb4T2bbMErIE7WQeoeE91GEUWYd18l3B+dBNxcqJiIAvG3n4iIwobztqgzCVio2M2FiomoMf4FICKisJGYbFEnIZxeuN8/Ae+m04EH9DI0/9cN6hsSuQgsXXaEENjrOINFh3djwcGvsejwbux1nIEQouWT22jevHkYNGgQTCYTrFYrxo8fj7y8vEbtmjNnDux2OwwGA7Kzs7Fv376AmNdffx3Z2dkwm82QJAkVFRWN7jVu3Dh069YNer0eKSkpmDhxIgoLCyP2bACTLSIiCiMpTgOYz49QV47XQngj9yJNFA1KmQuuxUehHKwK2C8laaGd0gOqK2Kj1DKitjtS7cBDOz7H1K+/wNsFB7Hq5BG8XXAQU7/+Ag/t+BxHqh0RuW9ubi6mT5+Obdu2Yd26dfB4PBg1ahRqas4XWVqwYAEWLlyIV155BTt27EBycjJGjhyJqqrzv4O1tbUYM2YMfvWrXzV5r5tuugnvv/8+8vLy8MEHH+C7777D3XffHZHnOkcSkUxVO5DKykpYLBY4HA6YzeZoN4eIqN1yfXASyp7zL8rah7pDTjU2cwbR5YMLFVN7VF9fj/z8fGRkZECv14d8/pFqB6btXI8qj7vJGJNag78NuBk9Yi0X09QWlZaWwmq1Ijc3F8OHD4cQAna7HTk5OXjiiScAAE6nEzabDfPnz8fUqVMDzt+4cSNuuukmlJeXIy4urtl7rV69GuPHj4fT6YRGo2l0vLnva2tzA/ZsERFRWHHeFnVEXKiYOiohBP6wf3uziRYAVHncmHtgR0SHFAKAw+H7sC4hIQEAkJ+fj+LiYowaNcofo9PpMGLECGzZsqXN9ykrK8M777yDoUOHBk20woXJFhERhRWTLepouFAxdWT7KstwsKq8VbEHKsuwv7IsYm0RQmDWrFkYNmwYsrKyAADFxcUAAJvNFhBrs9n8x0LxxBNPICYmBomJiTh27BhWrVp18Q1vBpMtIiIKKylJCxjPf8KvFNRCKByxTpcnUe2Ba+lReP9bEXjArIb2we5Q9Y/skCqiSPuy9GRI8ZtCjA/FjBkzsHv3brz77ruNjl1YcEYI0aYiNL/85S/xzTffYO3atVCpVLjvvvsi2lvHdbaIiCisJEmCnG6EcuDsxGWnAnHKCSkl9HkERNHEhYqpM6jyuCIa31ozZ87E6tWrsWnTJqSmpvr3JycnA/D1cKWkpPj3l5SUNOrtao2kpCQkJSWhV69e6Nu3L9LS0rBt2zYMGTLk4h8iCPZsERFR2DUeSljTRCRR++TdVwnXP/IbJVqqa+OgvT+diRZ1GCa1NqLxLRFCYMaMGfjwww+xfv16ZGRkBBzPyMhAcnIy1q1b59/ncrmQm5uLoUOHXvS9AV/BjUjhXwoiIgo7OT0mYFspqAVuSIxSa4haTygCno2ljdfPkgD1aBtUgxO4fhZ1KN/r0hVvFxxsdfzwLl3Dev/p06dj+fLlWLVqFUwmk38elsVigcFggCRJyMnJwdy5c5GZmYnMzEzMnTsXRqMREyZM8F+nuLgYxcXFOHz4MABgz549MJlM6NatGxISErB9+3Zs374dw4YNQ3x8PI4cOYLf/va3uOKKKyLWqwUw2SIiogiQbDpAJwNOBcDZeVttHF9PdKkIpxfulYWN1s+CXobmR6lcP4s6pCvNCehjim9VkYy+5gT0MyeE9f6LFi0CAGRnZwfsX7JkCSZNmgQAmD17Nurq6jBt2jSUl5dj8ODBWLt2LUwmkz/+1VdfxbPPPuvfHj58eMB1DAYDPvzwQzzzzDOoqalBSkoKxowZgxUrVkCn04X1mRriOlutxHW2iIhC43rnGJRvq/3b2ulXQO4SuRc0oouhlLngXnEcoiRwOJGUpIXmp90gJ4Z36BRROHWkdbbaE66zRURE7RZLwNPlwptfA9ff8xslWnKvWGgfymCiRR1ej1gL/jbgZvQxxQc93tec0OkSrXDhMEIiIoqIoMnWwOAv5ETRIISAd0c5PJ9esH4WfAsVq2+2cv0s6jR6xFrwxqBbsb+yDJtKT6LK44JJrcXwLl3Rz8y5im3FZIuIiCJCSjEAGglw+97FKgU1nLdF7YbwCHg+LYJ3Z0XgAbUEzR12rp9FnZIkSbjSkogrLSxoFC5MtoiIKCIktQQ51Qgl/2zZ90oPRIUbUjyHZFF0iWoPXO+fgDh2wdBWsxran6RBthui0zAi6nCYbBERUcTI6Q2SLQCioBZgskVRxIWKiehS4l8UIiKKGCnIvC3VNXHRaQx1et59lXB/dNI/tPUc1bVxUP8gGZKadcOIKLyYbBERUcTIqQZf3VvfclusSEhRwYWKiShamGwREVHESBoZUlcDxPE6AIAoc0FUuSGZNFFuGXUWXKiYiKKJ/eVERBRRcveYgG32btGlopS54Fp8tFGiJSVpoZ3Sg4kWEUUcky0iIoooLm5M0cCFiomoPWCyRUREESWnGYAG02GYbFEkCSHg2V4G99ICoM4bcEw1LBGan6RB0qui1Dqi9k0IgX0VDrz67WG8uP8AXv32MPZVOCCEaPnkNpo3bx4GDRoEk8kEq9WK8ePHIy8vr1G75syZA7vdDoPBgOzsbOzbty8g5vXXX0d2djbMZjMkSUJFRUWT93Q6nbjmmmsgSRJ27doVgac6j8kWERFFlKRTQUrR+7dFiROi1tvMGURtIzwCnk+K4Pl3MdDwvaFaguaurtDcaoMksxAGUTD51dV4ePsO/GzHDrxz9ChWnTyJd44exc927MDD23cgv7o6IvfNzc3F9OnTsW3bNqxbtw4ejwejRo1CTc35ZUMWLFiAhQsX4pVXXsGOHTuQnJyMkSNHoqrq/BDh2tpajBkzBr/61a9avOfs2bNht9sj8jwXYoEMIiKKODndCG9hvX9bOVYLVR9TFFt0eXIuzoeo9AAAJLMauskZUW5R+8GFionaLr+6GtN2fI1qjyfo8YOVlZi242v8bdBAZMSGd67jmjVrAraXLFkCq9WKnTt3Yvjw4RBC4OWXX8bTTz+NO++8EwDw1ltvwWazYfny5Zg6dSoAICcnBwCwcePGZu/36aefYu3atfjggw/w6aefhvVZgmHPFhERRZycfmGRjJomIqk5otLjW4zX4fYnXeRbqNj59/xGiZaUZoBuSg8mWkTNEEJg7r79TSZa51R7PJi3b39EhxQCgMPhAAAkJCQAAPLz81FcXIxRo0b5Y3Q6HUaMGIEtW7aEdO1Tp05hypQpWLZsGYxGY8snhAF7toiIKOLkboFvdjlvK3RCCMCjnN9R74VyvBZSqqFTrBElhIA4UQdvXhVQpwAGGareJigONzyrCrlQMVEb7XdU4mBlZatiD1RWYn9lJa60WCLSFiEEZs2ahWHDhiErKwsAUFxcDACw2WwBsTabDQUFBSFde9KkSfjZz36GgQMH4ujRo2Frd3OYbBERUcRJRjUkq85fGU4U1UM4vZB0LFTQGkpJPdwfFQI1Dea6ORW4Fh+FZNdDM94O2apv+gKXuXPPLxoMRQUA7+YzjYO5UDFRSL4sLQ0tvqQ0YsnWjBkzsHv3bmzevLnRsQt/n4UQIf2O/+Uvf0FlZSWeeuqpi25nKPhxDxERXRIBJeAFoJxd6Jiap5TUw/WPo40SjXNEoe+4UhL8+OWupecPoJeh+b9uUN+QyESLqJWq3e6IxrfWzJkzsXr1amzYsAGpqan+/cnJyQDO93CdU1JS0qi3qznr16/Htm3boNPpoFar0bNnTwDAwIEDcf/994fhCYJjzxYREV0ScroR3h3l/m2loBaqnlxUtjlCCF+PVr3SfGC9Avc/T0A93u5LMvx5hhRQdr/xv6XA/S0db7jrEtxDQMD9YSueH/BVHHwoA6okXcuxROQXq9FENL4lQgjMnDkTK1euxMaNG5GREVj4JyMjA8nJyVi3bh2uvfZaAIDL5UJubi7mz5/f6vv8+c9/xnPPPeffLiwsxOjRo/Hee+9h8ODB4XmYIJhsERHRJSF3u3BxYxbJaIk4Ude6Hh0AotQF99+PRrZB7ZlHQKrnkgJEofpely54J4T5S9+zdgnr/adPn47ly5dj1apVMJlM/h4si8UCg8E3JzUnJwdz585FZmYmMjMzMXfuXBiNRkyYMMF/neLiYhQXF+Pw4cMAgD179sBkMqFbt25ISEhAt27dAu4be7aq4hVXXBHQkxZuTLaIiOiSkMwaSAlaiDIXAECcrIdwK5A0HNHeFG9eVctB5Oc9WAU59dJUGCPqKPpZzOhjNreqSEZfsxn9zOaw3n/RokUAgOzs7ID9S5YswaRJkwD41sWqq6vDtGnTUF5ejsGDB2Pt2rUwmc4vIfLqq6/i2Wef9W8PHz680XWiQRKRrt/YQVRWVsJiscDhcMAc5h8yIqLOwr2qEN5vKvzb2knpkLvHNH1CJ+f+uAjeneUtBxIAQDUgHprbU6LdDKJLrr6+Hvn5+cjIyIBeH3qxnJbW2QKAWLU6IutstWfNfV9bmxuwZ4uIiC4ZOd0YkGwpBbVMtpohlNA+D5Xset9wzYanCf//nN/f6PjZfwTdf/4aooXj4bhHw31KqRMoD2EyvoG9pERtkREbi78NGoi5+/YH7eHqazbjqSv7dapEK1yYbBER0SUjpV84b4vrbTVFOV4LZZ8jpHM0tyV3qGF0yvFauBYfbXW8qo+p5SAiCiojNhavXz8I+ysr8WVJKardbsRqNPietQv6mc2s8NlGTLaIiOiSkeI0gFkNVPqGqijHayG8ApKKL+INefNr4F5+rNFCvc2R7HpIXQ0tB15GpFQDJLu+VUVCOuLzE11qkiThSoslYutodUbsbycioktGkqTA9bbcAqKI62015D1UBfc7oSVa0MvQnCv73oFIkgTNeDugb+HtSgd9fiK6/DHZIiKiS0pOD5yjxaGE53n3VcK94jjgaZBo6WWo77JDsgef9C7Z9dA+2B2yNfRJ8ZcD2ep7vs76/ER0eeMwQiIiuqTkYPO2boxSY9oR764KuFcVBhaNMKqgvS8dcrIeqiwLnC8eAmrOriWlk6Gd2A1SV0OH79GRrXpop2RAnKyD92AVUKcABhmqPqZO8fxEdPliskVERJeUlKQFjCqg1pc0KAW1EIqAJHfeN8ye7WXw/Ls4cKdZ7Uu0knQAfEPqoJYBnE229KoOVQyjJZIkQUo1dqpnJqLLX1SHEc6bNw+DBg2CyWSC1WrF+PHjkZeXFxAjhMCcOXNgt9thMBiQnZ2Nffv2BcQ4nU7MnDkTSUlJiImJwbhx43DixImAmPLyckycOBEWiwUWiwUTJ05ERUVFpB+RiIgu0GjellOBKHFGr0FR5tl8ulGiJcVroH2guz/R8u83qwGLBrBofP8mIqJ2LarJVm5uLqZPn45t27Zh3bp18Hg8GDVqFGpqavwxCxYswMKFC/HKK69gx44dSE5OxsiRI1FVVeWPycnJwcqVK7FixQps3rwZ1dXVGDt2LLxerz9mwoQJ2LVrF9asWYM1a9Zg165dmDhx4iV9XiIi8gk6lLCTEULA/UUJPJ+XBOyXuuh8iVa8ttE5uskZ0D+aCf2jmdBNzrhUTSUiojaShBChrZgYQaWlpbBarcjNzcXw4cMhhIDdbkdOTg6eeOIJAL5eLJvNhvnz52Pq1KlwOBzo0qULli1bhh//+McAgMLCQqSlpeHf//43Ro8ejQMHDqBfv37Ytm0bBg8eDADYtm0bhgwZgoMHD6J3794ttq21q0QTEVHLlKJ6uF474t+W+5mgvSctii26tIQi4PnsFLxflQXsl5L1vnlYMey1IqLWq6+vR35+PjIyMqDXs1hMuDT3fW1tbtCuqhE6HL7FGxMSEgAA+fn5KC4uxqhRo/wxOp0OI0aMwJYtWwAAO3fuhNvtDoix2+3Iysryx2zduhUWi8WfaAHADTfcAIvF4o+5kNPpRGVlZcAXERGFh2TTAbrzL0FKQS3a0Wd/ESUUAc/HRY0TrTQDtPenM9EioqgRQmBfRQ1eO3QSL+47htcOncS+ipqI/n0O17Si119/HdnZ2TCfXYA52HSh7t27++Z/Nvh68sknI/ZsQDtKtoQQmDVrFoYNG4asrCwAQHGxbwy7zWYLiLXZbP5jxcXF0Gq1iI+PbzbGarU2uqfVavXHXGjevHn++V0WiwVpaZ3nE1ciokiTZAlytwZDCWu8EGdc0WvQJSK8Au4PTsL7TUXAfjkjBtqJ6ZAMqug0jIg6vfzqOkzdloeff5WHd/JPYfWJ03gn/xR+/lUepm7LQ351ZNZEDNe0otraWowZMwa/+tWvmr3f7373OxQVFfm/fv3rX0fkuc5pNx+fzZgxA7t378bmzZsbHbuwpKsQosUyrxfGBItv7jpPPfUUZs2a5d+urKxkwkVEFEZyuhHKt9X+baWgtlFBiI5EuBW4/3kCyqHqgP1yr1hofpQKSdNuPv8kok4mv7oO0786hGqPN+jxg5W1mP7VIfx1cC9kxBrCeu81a9YEbC9ZsgRWqxU7d+70Tyt6+eWX8fTTT+POO+8EALz11luw2WxYvnw5pk6dCsBXwwEANm7c2Oz9TCYTkpOTw/oMzWkXf9lnzpyJ1atXY8OGDUhNTfXvP/eNuLD3qaSkxN/blZycDJfLhfLy8mZjTp061ei+paWljXrNztHpdDCbzQFfREQUPp2pSIZwKnAvP9440coyQ/PjNCZaRBQ1QgjM21PQZKJ1TrXHi3l7CiI+5Lst04pCMX/+fCQmJuKaa67BH/7wB7hckR1VEdW/7kIIzJgxAx9++CHWr1+PjIzAykoZGRlITk7GunXr/PtcLhdyc3MxdOhQAMCAAQOg0WgCYoqKirB3715/zJAhQ+BwOLB9+3Z/zFdffQWHw+GPISKiS0tKMQCa86MLlKORnRcQLaLOC9eyAij5NQH7VdfGQXNnV0iqzru+GBFF335HLQ5Wtu7DroOVtTjgiNwHY22dVtRajzzyCFasWIENGzZgxowZePnllzFt2rTwNL4JUR1GOH36dCxfvhyrVq2CyWTyf8MsFgsMBt+K8Dk5OZg7dy4yMzORmZmJuXPnwmg0YsKECf7YyZMn47HHHkNiYiISEhLw+OOPo3///rj11lsBAH379sWYMWMwZcoUvPbaawCAhx9+GGPHjm1VJUIiIgo/SS1BTjWeT0IqPRAVbkhBSp5frkSNB65lxyCK6wP2qwYnQD3G1uKQeCKiSNtcUhFS/JclFegXFxORtoR7WtGFHn30Uf+/r7rqKsTHx+Pu/8/evcfHWdb5/39d9z3nnA/NqUlLgJaDVbdAKSehCC1FEEEUXVYUVxGX07eLK+6uv11gVfiCivv4ysrBxYIgKqiV4gEpQotQClhFTqWlENqmSdo052TO9339/rgnk0yOM8kkmSSf5+PRR5J77kzuSScz9/u+ruvz+cQnkqNdU2FGw9Zdd90FwKpVq1K2r1+/nssvvxyAG264gVAoxFVXXUVHRwcrV67kySefpKCgILn/9773PVwuF5dccgmhUIizzjqL+++/H9McWGj8k5/8hOuuuy45BHnBBRdw5513Tu0DFEIIMSZjcSBlxEfvCcIcCVu6O0b0x3vQh1KnqJinl+M6c4EELSFETuiJjT19cLL7p6t/WdGzzz476rKi6urq5PbBS4Ym6qSTTgJg9+7dczNspTNdRCnFTTfdxE033TTqPj6fj+9///t8//vfH3Wf0tJSHnrooYkcphBCiCmiRli3Zf5d8cwcTBbZHVFiP96D7oilbHedXYHrtPIZOiohhBiuwJ1ZFdRM9x+P1pprr72WDRs2sHnz5jGXFS1fvhwYWFZ02223Tepn//WvfwVICXHZljPVCIUQQsw/Rq3fWT1sO1/PhSIZdmuE6I/3QE88ZbvrI1W4TiydoaMSQoiRnVZRzE8ahheSG82HKoqz+vOzsawInJGvlpYWdu/eDcBrr71GQUEBixYtorS0lBdeeIFt27Zx5plnUlRUxMsvv8w///M/c8EFF7Bo0aKsPqbBJGwJIYSYMcptoBb60fuc/i26PYruiaEK3DN8ZBNjt4SdoBUcNM1GgftjNXNixE4IMfccWxTg6MJAWkUyji4McExRYNz9MpGtZUV33303N998c/Lr008/PeV+vF4vP//5z7n55puJRCIsXryYK664ghtuuCGrj2copedi6acp0N3dTVFREV1dXVIGXgghsij21AGs59qSX7s/sRBzWdEMHtHE2PuCRH+yF8L2wEYD3BfXYr5P3jeEEFMnHA7T0NBAfX09Pp8v4+8fr88WQL7LnJI+W7lsrN9rutlAGnsIIYSYUcbi1KpWs3EqodXQ54xoDQ5aLoX77+skaAkhcl59vp//WbmUowtHHrU6ujAw74JWtsg0QiGEEDPKqPODAhLzLGZb2LJ29RB7pBHigyaKeAwnaNVPTXlkIYTItvp8P/ecdBQ7uoL86WAnPTGLArfJhyqKOaYoIBVUJ0jClhBCiBmlfCaqyodudnpR6YMRdNBCBbJb8WoqWG90E/tlY7LABwA+A89nFmHUZnddgxBCTDWlFMcW501ZH635SKYRCiGEmHHG0BLwe3N/dCv+105ivxgStPJMPJcfJkFLCCEEIGFLCCFEDjAOG7puq2+UPXND/KV24o81Jac+AlDowvP5wzCqMl+cLoQQYm6SaYRCCCFmnLEoddF1Lq/biv/pEPE/HkzZpkrcuD+7GKPEM0NHJYQQIhfJyJYQQogZpwIuVIU3+bVuDqMjo5cgnglaa2J/PDg8aC3wOiNaErSEEEIMIWFLCCFETkhZt6XBTjQ6zgXa1sSfOID1p0Mp21W1D8/li1GFs7MJsxBCiKklYUsIIUROGFYkI0emEmpbE3+8GevF9pTtqs6P53OLUXkyI18IIcTI5B1CCCFETjAW5V7Y0pYm9qv92G90p2w36vNw/30dyiPXLIUQQoxO3iWEEELkBFXoRpUOrHvS+0PomD3Gd0wtHbOJ/Xzf8KB1VD7uSyVoCSHmHq01b3REufetbr77Wif3vtXNGx1RtNbjf/ME3XrrraxYsYKCggIqKiq48MIL2blz57Djuummm6ipqcHv97Nq1SreeOONlH3uvfdeVq1aRWFhIUopOjs7R/x5v/3tb1m5ciV+v5/y8nI+/vGPT9VDAyRsCSGEyCEpUwktjd4/M+u2dMQm9vBe7F29KduNZYW4L6lDueXtUwgxtzT0xPjy1kNc/cIhHn63l8f3BXn43V6ufuEQX956iIae2JT83C1btnD11Vezbds2Nm3aRDweZ82aNfT1DbQAuf3227njjju48847efnll6mqqmL16tX09PQk9wkGg6xdu5Z///d/H/Vn/fKXv+Syyy7j85//PH/72994/vnnufTSS6fkcfVTeiqj6hzS3d1NUVERXV1dFBYWzvThCCHEnGS90kns103Jr11nLsB1xoJpPQYdsoj+ZC+6MTXomccV4zq/GmWoaT0eIYQYTzgcpqGhgfr6eny+zHv9NfTEuPaFQ/TGR48F+S7F908up75gagsCtba2UlFRwZYtWzj99NPRWlNTU8O6dev42te+BkAkEqGyspLbbruNK6+8MuX7N2/ezJlnnklHRwfFxcXJ7fF4nMMOO4ybb76ZL3zhC2kdy1i/13SzgVyaE0IIkTPUDBfJ0H1xog/sGR60TirF9VEJWkKIuUdrzf99tXPMoAXQG9fc9mrnlE4pBOjq6gKgtLQUgIaGBlpaWlizZk1yH6/XyxlnnMHWrVvTvt+//OUv7N+/H8MwWL58OdXV1Zx77rnDpiNmm4QtIYQQOUMVu6FwoHaTvS+ItqZnAobujhFd/x66JZyy3Ty9HNc5lSglQUsIMfe82RljZ1d6UwTf6oqxI819J0JrzfXXX89pp53GsmXLAGhpaQGgsrIyZd/Kysrkbel49913Abjpppv4//6//4/f/OY3lJSUcMYZZ9De3j7Od0+chC0hhBA5QymVum4rptHNU79uy+6IEv3Re+hD0ZTtrrMrcH+4QoKWEGLOev5AePydBnmuJbP9M3HNNdfw6quv8tOf/nTYbUNfh7XWGb0227ZTcOnrX/86F198Mccffzzr169HKcWjjz46uQMfg4QtIYQQOcVYnJfy9VRPJbRbI07Q6ky9Wuv6SBWu08qn9GcLIcRM68mw6mum+6fr2muvZePGjTzzzDPU1tYmt1dVVQEMG8U6ePDgsNGusVRXVwNw7LHHJrd5vV4OP/xw9u7dO5lDH5OELSGEEDllOpsb281houvfg574wEYF7gtrcJ1YOmU/VwghckVBhtVVM91/PFprrrnmGn71q1/x9NNPU19fn3J7fX09VVVVbNq0KbktGo2yZcsWTjnllLR/zvHHH4/X600pKx+LxXjvvfdYvHjx5B/IKKSpsRBCiJyiyj0QMCFoAU7Y0rbOenEKe1+Q6E/2QnjQVVoD3J+oxTxWqs4KIeaHUyt9PPxu7/g7JpxWlXm1w7FcffXVPPzwwzz22GMUFBQkR7CKiorw+/0opVi3bh233HILS5YsYcmSJdxyyy0EAoGUsu0tLS20tLSwe/duAF577TUKCgpYtGgRpaWlFBYW8uUvf5kbb7yRuro6Fi9ezLe//W0APvnJT2b1MQ0mYUsIIURO6V+3Ze9I9E+J2OiDEVQW3+Cthj5iD++F2KDiGy6F+1O1mEsKsvZzhBAi1x1b7OaoIndaRTKOLnJzTFF2S7/fddddAKxatSpl+/r167n88ssBuOGGGwiFQlx11VV0dHSwcuVKnnzySQoKBl6v7777bm6++ebk16effvqw+/n2t7+Ny+XisssuIxQKsXLlSp5++mlKSkqy+pgGkz5baZI+W0IIMX3i29qIP3Eg+bXr3CpcK7Mzrc/a1UPskUYYXObYY+C5tA7jsLzRv1EIIXLUXOqzlUukz5YQQog5afi6rb6s3K/1Rjexn+1LDVo+A89nF0nQEkLMW/UFbr5/cjlHjTJqdXSRe94FrWyRaYRCCCFyjqr0gdeAiLOeyt4TzLjM71Dxv3YS39gEgy/c5pl4LluMkeU1CEIIMdvUF7i5+5RydnTFeK4lTE/MpsBtcFqVj2OK3NICY4IkbAkhhMg5ylAYiwLYbycWbfdZ6LYoqtw7ofuLv9hO/PdDml8WuvB8djHGBO9TCCHmGqUUxxZ7OLbYM9OHMmfINEIhhBA5KVsl4ON/OjQsaKkSN57PHyZBSwghxJSSsCWEECInTTZsaa2J/fEg8T8eTNmuFnidoFUiV26FEEJMLZlGKIQQIiepaj+4VbI8eyZhS9ua+B8OYL3YPuQ+fXg+swiVJ29/Qgghpp6MbAkhhMhJyqUwageNbnXF0J3Rcb9P25r4xubhQavOj+dziyVoCSGEmDYStoQQQuSsTKcS6rgm9sv9WK90pt7P4Xl4LluM8pnZPkQhhBBiVBK2hBBC5CyVQdjSMZvYI/uw3+hO2W4clY/77+tQHnnLE0IIMb1kLoUQQoicZdT6ncuCTrstrFc6sd7pQxW68H6hPrmfjtjEfrYXuyE1jBnLCnFftBBlSn8YIYQQ008u8wkhhMhZym2gFvoHNtg4a7e648lNOmQRfXDPsKBlHleM++MStIQQIl1aa/a02fzu9Ri//EuU370eY0+bjdZ6/G+eoFtvvZUVK1ZQUFBARUUFF154ITt37hx2XDfddBM1NTX4/X5WrVrFG2+8kbLPvffey6pVqygsLEQpRWdnZ8rtmzdvRik14r+XX355yh6fhC0hhBA5bei6rcF0X5zoA3vQjaGU7eZJpbg+Wo0yJGgJIUQ6Wrpt/t8zEe7cHOGZnXG2NVg8szPOnZsj/L9nIrR021Pyc7ds2cLVV1/Ntm3b2LRpE/F4nDVr1tDX15fc5/bbb+eOO+7gzjvv5OWXX6aqqorVq1fT09OT3CcYDLJ27Vr+/d//fcSfc8opp9Dc3Jzy74tf/CKHHXYYJ5xwwpQ8NpBphEIIIXKcsTgP67m21I1hC+utbmKbDkBbLOUm8/RyXGcuQCkJWkIIkY6WbpsfbI4Qio18e2OH5gebI1y1yktVYXbHap544omUr9evX09FRQXbt2/n9NNPR2vNf//3f/P1r3+dj3/84wA88MADVFZW8vDDD3PllVcCsG7dOsAZwRqJx+Ohqqoq+XUsFmPjxo1cc801U/p+ISNbQgghcptvhLeqiE3sZ43DgpZrdQXuD1dI0BJCiDRprfn5n6OjBq1+oRg88ufolE4pBOjq6gKgtLQUgIaGBlpaWlizZk1yH6/XyxlnnMHWrVsn/HM2btzIoUOHuPzyyyd1vOORsCWEECJn2QfDxH6yN619XedV4Tq1fIqPSAgh5pa97ZrGjvQC1L4Ozb40950IrTXXX389p512GsuWLQOgpaUFgMrKypR9Kysrk7dNxH333cc555xDXV3dxA84DTKNUAghRE7SWhP7dROEx18noIrdmCeUTMNRCSHE3PJGs5XR/q83WSwqnZrxmmuuuYZXX32V5557bthtQ2csaK0nPIuhsbGRP/zhDzzyyCMT+v5MyMiWEEKInKQbQ+imcHr7dsbQ+0Pj7yiEECJFKJrZSFWm+6fr2muvZePGjTzzzDPU1tYmt/evsxo6inXw4MFho13pWr9+PWVlZVxwwQUTP+A0SdgSQgiRk6ydPePvNHj/tzLbXwghBPg9mY0OZbr/eLTWXHPNNfzqV7/i6aefpr6+PuX2+vp6qqqq2LRpU3JbNBply5YtnHLKKRP6eevXr+ezn/0sbrd70sc/HplGKIQQIjeFMiwznOn+QggheF+1yTM74+PvmLCsxszqz7/66qt5+OGHeeyxxygoKEiOYBUVFeH3+1FKsW7dOm655RaWLFnCkiVLuOWWWwgEAlx66aXJ+2lpaaGlpYXdu3cD8Nprr1FQUMCiRYuSxTYAnn76aRoaGvjCF76Q1ccxGglbQgiR47TWBP8ngt2pQYPygf/TXoxaNber7vkznHyR6f5CCCFYVKqoLVFpFcmoK1HUlWT3feeuu+4CYNWqVSnb169fn6wUeMMNNxAKhbjqqqvo6Ohg5cqVPPnkkxQUFCT3v/vuu7n55puTX59++unD7gecwhinnHIKxxxzTFYfx2iUnur6jXNEd3c3RUVFdHV1UVhYONOHI4SYJ6wDNuENUez9w1+qjYUK30UezMq5GTLsfUGi972X9v6eLx6GUTt6A2QhhJirwuEwDQ0N1NfX4/P5Mv7+8fpsAfjdTEmfrVw21u813Wwwf35bQggxy1gHbIL/GxkxaAHY+zXB/41gHZib0+dUrR9Vk95Jg6rxoRb6p/iIhBBibqoqNLhqlZfaUUat6krUvAta2SLTCIUQIgdprQlviMJ4xfjCEN4QJXCld85NKVRK4b6whuiP3hu7/LvPwH1hzZx7/EIIMZ2qCg2uO9PLvg7N600WoajG71EsqzGpK5nj09ankIQtIYSYIVprdBB0t0b3aOzER92jsQ7Yo45oDWXv19iNGrNu7r0RGhU+PP94GLFfN41YBl7V+HBfWINRkfm0GSGEEKmUUiwqVVPWR2s+krAlhBBTQEc0ultj9wz6mPx8IGCRWS/JUcV3WJh1c/PN0ajw4bminsh3dkFf4hfmNfBctgi10C9XW4UQQuQsCVtCiJyXS9X4dFyje4eHpuSoVCJYEZnWw0KH53atI6UUuAyS6dRnSjEMIYQQOU/ClhAipyWr8R0YCBM6CsF7I1mtxqft0af02d06uV33TfpHTQnlm/ujO6rQhR70uRBCCJHr5N1KCJGz+qvxjVYkor8aX+CL3lEDl9bOKNOw8DR4el83zpS+6Srqp0DlgypUGAUKVahQBQoj8VEVKnS3JvTjaNp36Tomu00mc5H3C/UzfQhCCCFERiRsCSFyUibV+EI/j+I50wU9JNdIDQ5VpJ9ZJs/PQIDqD1MFKjVY5YEyxx6J0hUaY6FKr0iGCZRk5/CFEEIIkT0StoQQOclu1GlX49OtmsgjY3RizAZXYiSqcHB4YviolDs70/mUcqZIjjWyl2RB5NEY/s96xg1xQgghhJg+EraEEDkpviNLZfrGYySm9BUMDVKp0/vwMe3FOMxKg8AXvc6atXGCp/WuTeTJGL5zPdN0dEIIIYQYz9ysEyyEmPWyUl3PD0alwjzSwH2ciecMF96PuvFf6iHwZS95N/jIv9FH/lf95H3Zh/9SL76PevCe4cZ9nAvXkSZmpYHyz1wzR7PSIHCll8CXvHg+5MK9wsTzIZfz9ZrUdVqxrRaxV+IzcpxCCCFmP601h1ptXtke4+UXoryyPcahVttZ/zxFbr31VlasWEFBQQEVFRVceOGF7Ny5c9hx3XTTTdTU1OD3+1m1ahVvvPFGyj733nsvq1atorCwEKUUnZ2dw37Wrl27+NjHPkZ5eTmFhYWceuqpPPPMM1P22EBGtoQQOUpnOLBlHm7gPsEcmOqXn70pfTNNKYVZp4b10TJq3djNEH9t4JcVfiyGUWFg1si1NCGEEOnr6rDZ9nyU9rbUYLXj9TilZYqTTvVQVJL995YtW7Zw9dVXs2LFCuLxOF//+tdZs2YNb775Jnl5eQDcfvvt3HHHHdx///0sXbqUb37zm6xevZqdO3dSUFAAQDAYZO3ataxdu5Z/+7d/G/FnnXfeeSxdupSnn34av9/Pf//3f3P++efzzjvvUFVVlfXHBqD0VEbVOaS7u5uioiK6urooLCyc6cMRYs7SWhP7s0Xkt7GMGv4GvuSds019x6KjmuAPI9gtAy/lqkgR+CcvRt7cCJtCCCHGFg6HaWhooL6+Hp/Pl/H3d3XYbHoiQmyMglJuD6xe652SwDVYa2srFRUVbNmyhdNPPx2tNTU1Naxbt46vfe1rAEQiESorK7ntttu48sorU75/8+bNnHnmmXR0dFBcXJzcfujQIRYsWMCzzz7Lhz70IQB6enooLCzkqaee4qyzzhp2LGP9XtPNBvPvzEQIkbN0WBN+JEZkY2ZBy1ioMGrnZ7BQHoX/Ug9qUH9f3aUJ/zyKtuRamhBCiLFprdn2fHTMoAUQi8K256NTOqUQoKurC4DS0lIAGhoaaGlpYc2aNcl9vF4vZ5xxBlu3bk37fsvKyjjmmGP48Y9/TF9fH/F4nHvuuYfKykqOP/747D6IQSRsCSFygrXfpu8HEeKvZzh/0Ae+izwztqYqFxglBr5LPDDoV2A12ET+MMUVGoUQQsx6bYf0sKmDo2lv07QdmrqwpbXm+uuv57TTTmPZsmUAtLS0AFBZWZmyb2VlZfK2dCil2LRpE3/9618pKCjA5/Pxve99jyeeeCJlBCzbJGwJIWaU1proC3GCP4ygO1JfwI1FBv7PuTEWjhykjIVqzIbG84nrCBPvOanLcGMvWMT+KgUzhBBCjK5xb2YXOTPdPxPXXHMNr776Kj/96U+H3Tb0oqrWOqMLrVprrrrqKioqKvjTn/7ESy+9xMc+9jHOP/98mpubJ33so5ECGUKIGaODTuPi+Fv2sNs8H3LhOcuFMhXmESbB/4lgd2rQoHzg/7QXo3bmqgTmIvcpLqwmTfzVQQUzNiYKZiyUQCqEEGK4WDSzkapM90/Xtddey8aNG3n22Wepra1Nbu8vXNHS0kJ1dXVy+8GDB4eNdo3l6aef5je/+Q0dHR3JNVY/+MEP2LRpEw888AD/+q//mqVHkkrClhBiRlh7LUKPxNBdqS/aKg98F3twLRkoa66UIu+azBf8zjdKKXwfcxNstbGbE7/XOIQejjoFM/IlmAohhEjl9mT23pDp/uPRWnPttdeyYcMGNm/eTH19fcrt9fX1VFVVsWnTJpYvXw5ANBply5Yt3HbbbWn/nGAwCIBhDKnsaxjY9vCLvtkilzqFENNK25rIszGC90WHBS2z3iBwlS8laInMjFgwo1sKZgghhBhZ7aLM3nMz3X88V199NQ899BAPP/wwBQUFtLS00NLSQigUApwLievWreOWW25hw4YNvP7661x++eUEAgEuvfTS5P20tLTwyiuvsHv3bgBee+01XnnlFdrb2wE4+eSTKSkp4XOf+xx/+9vf2LVrF1/96ldpaGjgvPPOy+pjGkzClhBi2ti9mtCDUaKb4jD4IpICz5ku/Jd7MApl9GWyjGID36c8Ka/w1ns2kSekYIYQQohUZeWK0rL03ntLyxRl5dl9n77rrrvo6upi1apVVFdXJ//9/Oc/T+5zww03sG7dOq666ipOOOEE9u/fz5NPPpnssQVw9913s3z5cq644goATj/9dJYvX87GjRsBKC8v54knnqC3t5cPf/jDnHDCCTz33HM89thjfPCDH8zqYxpM+mylSfpsCTE58QaL8KNRdE/qdlUAvk94cB0uo1nZFt0aJ/L71IDlu8iN+ziZQS6EEHPJXOqzlUukz5YQIudpWxN5OkZo/fCgZR6ZmDYoQWtKuE82cX0w9XcbfjyG1Th1c9OFEELMPkUlBqvXekcd4SotU/MuaGWLXN4UQkwZu0cTfjSK1TDk5N4Az1kuPKe5UIZMG5wqKQUzmgYVzPhphMA/+aRghhBCiKSiEoM153lpO6Rp3GsRi2rcHkXtIpOycqn+O1EStoQQUyK+2yL8iyi6L3W7KlL4L3FjZnmBrRiZciv8f+8heHck+X+huyH8syj+yz0ol7x5CiGEcCilKF+gKF8gI1jZIr9JIURWaUsT2RQj9MDwoGUeZZB3lVeC1jQbsWDGHnvYei4hhBBCZJeELSFE1thdNqEfRYk+G0+9wQTvuW78/+BBBWQkZSa46k2857pTtsVesohtj4/yHUIIIYSYLJlGKITIivhbFqFfRSGUul2VKPyf8mAulGs7M8290sRqson/1UpuCz8ew6gwMOvk/0cIIYTINnl3FUJMio5rwr+PEvrJ8KDlep/pTBuUoJUTlFL4PurGWDhodNFyCmbYPdIFRAghhMg2OQMSQkyY3W4T/N8Isa1W6g0u8F7gxvcpN8on0wZzSX/BDJU3sE33OAUzdFwClxBCCJFNEraEEBMSe92i7wcR7P2pJ+iqTBH4khfPCpeUic1RRpGB79NDCmbstYn8TgpmCCGEENkkYUsIkREd04QfjxL+eRQiqbe5PmiS909ezGp5acl1rsNMvB8ZUjDjZYvon6VghhBCCJEtckYkhEib3WoTvDdC7KUh0wbd4LvIje9iN8oro1mzhftEE9dxqWX4I7+JYe21RvkOIYQQc5nWmt4Wm8atMfY8E6Vxa4zeFhutp26a+a233sqKFSsoKCigoqKCCy+8kJ07dw47rptuuomamhr8fj+rVq3ijTfeSNnn3nvvZdWqVRQWFqKUorOzc9jP+stf/sLq1aspLi6mrKyML33pS/T29k7ZYwMJW0KINMVeidN3dwS7JfUF16hQBL7sxX2cTBucbZRS+M53Y9QOKZjxsyh2t6zfEkKI+STUZrPjkQhvPRqhZXuc1tctWrbHeevRCDseiRBqs6fk527ZsoWrr76abdu2sWnTJuLxOGvWrKGvb6BZ5+23384dd9zBnXfeycsvv0xVVRWrV6+mp6cnuU8wGGTt2rX8+7//+4g/p6mpibPPPpsjjzySF198kSeeeII33niDyy+/fEoeVz+lpzKqziHd3d0UFRXR1dVFYWHhTB+OENNGRzXh38aI/2X4aIf7BKd3k/JIyJrN7C5N8O4wetDFPaPOIPCPHpRL/m+FECLXhcNhGhoaqK+vx+fzZfz9oTabt34ZwYqMvo/phaMv9uIvm9qxmtbWVioqKtiyZQunn346WmtqampYt24dX/va1wCIRCJUVlZy2223ceWVV6Z8/+bNmznzzDPp6OiguLg4uf3ee+/lP/7jP2hubsYwnMfwyiuvsHz5ct5++22OPPLIYccy1u813WwgI1tCiFFZB2yCd0eGBy0P+D7pxvcxjwStOcAoUsMKZtj7bCK/lYIZQggx12mtaXgqOmbQArAi0PBUdEqnFAJ0dXUBUFpaCkBDQwMtLS2sWbMmuY/X6+WMM85g69atad9vJBLB4/EkgxaA3+8H4LnnnsvGoY9IwpYQYhitNdHtcYL3RLBbh0wbrFbkXeXF/QHpiT6XuBabeM8bUjDjzxbRl6VghhBCzGV9BzTBg+kFqOBBTd+BqQtbWmuuv/56TjvtNJYtWwZAS0sLAJWVlSn7VlZWJm9Lx4c//GFaWlr49re/TTQapaOjIznlsLm5OUuPYDgJW0KIFDqiCf8iRuTXMRgysOE+ySTwJS/GFE8hEDPDvcLEffyQghm/jRHfIwUzhBBirup8N7PX+Ez3z8Q111zDq6++yk9/+tNhtw1dF661zmit+Pve9z4eeOABvvvd7xIIBKiqquLwww+nsrIS0zTHv4MJkjMmIUSS1WTT94MI8VeHvJD6wPdpD77zZA3PXKaUwnu+G6MutWBGWApmCCHEnGVFMnt9z3T/dF177bVs3LiRZ555htra2uT2qqoqgGGjWAcPHhw22jWeSy+9lJaWFvbv309bWxs33XQTra2t1NfXT/4BjELClhDCmTb4YpzgvRF0+5Bpg7WJaYPvm7qrPiJ3KJfC/2kvKn9gm+6F0E8j6LgELiGEmGvMDFu2ZLr/eLTWXHPNNfzqV7/i6aefHhZ86uvrqaqqYtOmTclt0WiULVu2cMopp0zoZ1ZWVpKfn8/Pf/5zfD4fq1evntRjGIssuhBintMhTfjXUeJvDi/p6j7NhfdsF8qU0az5xChU+P/eQ/BHUUgMctqNmshvYng/5pYS/0IIMYcUH27Ssj399bnFh2f34uvVV1/Nww8/zGOPPUZBQUFyBKuoqAi/349SinXr1nHLLbewZMkSlixZwi233EIgEODSSy9N3k9LSwstLS3s3r0bgNdee42CggIWLVqULLZx5513csopp5Cfn8+mTZv46le/yv/9v/83pWphtknYEmIes/bZhB6JojtTRyxUAHwXe3AtldGs+cpc5BTMiGwcWLgX225h1Bh4TpS3DiGEmCvyKhWBCpVWkYxAhSKvMrsX3O666y4AVq1albJ9/fr1yR5YN9xwA6FQiKuuuoqOjg5WrlzJk08+SUFBQXL/u+++m5tvvjn59emnnz7sfl566SVuvPFGent7Ofroo7nnnnu47LLLsvp4hpI+W2mSPltiLtG2JvZCnMiTcRgyoGUuNvB90oNRJKMXAsKPRYn9edAaPgP8/+jBtViCuBBC5Iq51Gcrl0ifLSFExuw+TegnUSJPDAlaCjxnuPB/XoKWGOA9z41RN7gBV6JgRpdcpxNCiLnCX2Zw9MVeAhUjv/8HKtS8C1rZInNBhJhH4u9ZhB+NortTt6t88H3Cg+sIGa0QqZQrsX7rrjC6x9nWXzAj8AUvyi3BXAgh5gJ/mcExl3jpO6DpfNfCimhMr6L4cJO8SiXrdSdIwpYQ84C2NdFn40SfjsOQAQnzcAPfJzwYBfIiKkZmFCj8f+8leF9koGDGfk34NzF8F0rBDCGEmCuUUuRXKfKrZAQrW+Q3KcQcZ/doQj+OEv3jkKClwHOWC//nJGiJ8Zl1Bt7z3Snb4n+xiL0kDY+FEEKI0cjIlhBzWPwdi/Avouje1O2qEHyf9OA6TKYNivR5TnBhN9nEXh4IWJHfxTAqlTyXhBBCiBHIyJYQc5C2NJE/xgg9MDxomUsNAlf55ORYTIj3I27MRSMVzBjep00IIYSY7yRsCTHH2N2a0P1RopuHTBs0wLvWhf8fPBh5Mm1QTIxyKXyf9qAGWpug+yD00yg6JhUKhRBCiMEkbAkxh8R3WQT/J4z1XuoogypWBL7oxXOqG2VI0BKT018wg0GDo/Z+TfjxGNK6UQghhBggYUuIOUBbmvATMUIPRtHB1NtcxxrkXeXFrJM/d5E9Zp2B76NDCmb81SL2ohTMEEIIIfpJgYxZIPjDCHa3c7XYKFQErvDO8BGJ6TbWc8DusAk9EsVuHFrTHbznunGfaEppbjEl3Me7sJrslIqEkd8nCmbUy5pAIYSYbbTW2I2a+A4LHdYon8J1jIlRK322JmpCl7r7+vr4j//4D0455RSOPPJIDj/88JR/Inu01ljtNrpTozs11gEba58tU3XmkbGeA7E3Lfp+EBkWtFSpIvAlL56VLnlxFFPKe64bc/EIBTM6pWCGEELMJtYBm+A9EYL3Roj+KU7sZYvon+IE740QvCeCdWBqXtdvvfVWVqxYQUFBARUVFVx44YXs3LkzZR+tNTfddBM1NTX4/X5WrVrFG2+8kby9vb2da6+9lqOOOopAIMCiRYu47rrr6OrqSrmfjo4OLrvsMoqKiigqKuKyyy6js7NzSh5XvwmNbH3xi19ky5YtXHbZZVRXV8vJ3BSxDtiEN0RhcDW5CATvjWAsVPgu8mBWytSwuWys54DKcwoTDOV6v4nvY26UV/4uxdTrL5gRvCuCToy+6qBTMCPwRS/KLc9DIYTIddYBm+D/RiA88u32fk3wfyMEvujN+rnnli1buPrqq1mxYgXxeJyvf/3rrFmzhjfffJO8vDwAbr/9du644w7uv/9+li5dyje/+U1Wr17Nzp07KSgooKmpiaamJr7zne9w7LHHsmfPHr785S/T1NTEL37xi+TPuvTSS2lsbOSJJ54A4Etf+hKXXXYZjz/+eFYf02BKT2CIpLi4mN/+9receuqpU3FMOam7u5uioiK6urooLCyc8p833pMeAB9T8qTPRfNxKmVaz4HBXOA93437OJk2KKaf1WgTvC8C8YFtrg+a+C52y/NRCCGmWDgcpqGhgfr6enw+X0bfq7UmeE8Ee//4kcBYqAhc6Z3S1/XW1lYqKirYsmULp59+OlprampqWLduHV/72tcAiEQiVFZWctttt3HllVeOeD+PPvoon/nMZ+jr68PlcrFjxw6OPfZYtm3bxsqVKwHYtm0bJ598Mm+99RZHHXXUsPsY6/eabjaY0Fl6SUkJpaWlE/lWkQattTOaMd5JdhjCG6LzYkqh3a2T0+j6Q9dclvZzIEGVQ+DLXjzHy7RBMTPM2hEKZvzNIvaCFMwQQohcZjfqtIIWOCNcw9aIZ1n/1L/+rNHQ0EBLSwtr1qxJ7uP1ejnjjDPYunXrmPdTWFiIy+VM5HvhhRcoKipKBi2Ak046iaKiojHvZ7ImFLa+8Y1v8J//+Z8Eg8HxdxYZy7UnvZgeWmt0WGO328S2W2k/BwB8F8iUUjHz3Me5cJ+UWhgj8ocY8XclcAkhRK6K78jsNTrT/TOhteb666/ntNNOY9myZQC0tLQAUFlZmbJvZWVl8rah2tra+MY3vpEy6tXS0kJFRcWwfSsqKka9n2yY0Jqt7373u7zzzjtUVlZy2GGH4XanXs38y1/+kpWDm68yfRIHfxRBFSmMPIUKgMpTqEDi84BK/TpPgRcZ/ZgGWmsIgw5q7F6N7nM+1339/xJf9+rEdmCCr1/W27ZUfxM5wbvWjd2iB3q92RD+eZTAP3kxiuWCgBBC5Bodzuyifab7Z+Kaa67h1Vdf5bnnnht229BzV631iOez3d3dnHfeeRx77LHceOONY97HWPeTLRMKWxdeeGGWD0MMlvGTOA66TWO1pfl9BkOCWOLzwV8PDWyemQtnWmt0fOCx6ZDG2mdPexlSbTvhyR4algZ/3f95UDv9rqbpgv5UvvAJkQllKnyf8hC8O4LuGlQw4+FEwYwZfC0RQggxnPJl9rqc6f7puvbaa9m4cSPPPvsstbW1ye1VVVWAMzJVXV2d3H7w4MFho109PT2sXbuW/Px8NmzYkDIgVFVVxYEDB4b93NbW1mH3k00TCltDU6LIrql6EifZoHtB92ogzZN0N6nhK6BQeSOMnPV/7XeqlE3WVFZk1LZGhxhzpGlYeMrRatZT/pwRIgNGvsL/9x6nwEuiYIbdrAk/FsP3CSmYIYQQucR1jEn0T/Hxdxy0fzZprbn22mvZsGEDmzdvpr6+PuX2+vp6qqqq2LRpE8uXLwcgGo2yZcsWbrvttuR+3d3dnHPOOXi9XjZu3DisoMXJJ59MV1cXL730EieeeCIAL774Il1dXZxyyilZfUyDTbipcWdnJ7/4xS945513+OpXv0ppaSl/+ctfqKysZOHChdk8xnkn0ye9KgaioEOknZ0yFgPdpdFdpP9DvIwdygbdZuQp8IEyBk7CMi1Dqq2h4WlQYAqOMPo0lb+vTLgTI4mDfk/aBuvV9IfFsv3CJ8RkmQsNfBe4Cf8qltwWf9UiVqPwnOoe4zuFEEJMJ6NWYSxUaVcjNGqze8Hs6quv5uGHH+axxx6joKAguX6qqKgIv9+PUop169Zxyy23sOTIJXzo3VVY7TY7rnyb/M48rH02waI+1qxZQzAY5KGHHqK7u5vu7m4AFixYgGmaHHPMMaxdu5YrrriCe+65B3BKv59//vkjViLMlgmFrVdffZWzzz6boqIi3nvvPa644gpKS0vZsGEDe/bs4cc//nG2j3NeyfRJ31+Cs3+am+7T2ImRmGTISPl84Ou0y4pPRAR0RKM7IK1Uo3BGxAIKAmAfTOP4whC8O+I8kyPp/Zgp5xkSnvIVRn+wzBsUOvu/HmFaldaaYJs9Yy98QmSDe7kLq9lOqUgY+UMco8rAdYRcIBBCiFyglDNTKJ2WQ76LPFmfnXDXXXcBsGrVqpTt69ev5/LLLwfghhtuIBDMo/LJGrwLfGDi/Ot1Zjv1FYTpeqebtw7t4Mgjj0y5n4aGBg477DAAfvKTn3DdddclKxtecMEF3HnnnVl9PENNqM/W2WefzXHHHcftt99OQUEBf/vb3zj88MPZunUrl156Ke+9994UHOrMmqt9tnQ8MRoUHDR1boRQNvg2YuPf75ziHQhPxkhhKfkvEa6y1MRVeq2JuUBbmtADUayGgTm4KuC0KjBK5HkrhBDZMJk+W/36l26MdKF3sks3Jmumzomy0WdrQiNbL7/8cnL4bbCFCxdOaenE+cSsNAh80TvlT3rlUqgCoCD9gKCjGh0aGsxGCGxBPe2FItLic0KSkTcoMAUGBabBASqQnbVnEzFdzwEhplKyYMZdIxTMuEIKZgghRK4wKw0CV3qxGzXxHRY6rFE+hesYc9qLkg2Waf/ZqW66nKkJhS2fz5ecBznYzp07WbBgQdr38+yzz/Ltb3+b7du309zczIYNG1IqHV5++eU88MADKd+zcuVKtm3blvw6EonwL//yL/z0pz8lFApx1lln8YMf/CCliklHRwfXXXcdGzduBJwhw+9///sUFxenfawzof9J33t7eKBAhBcCn/PO6JNeeRJT34rS219r7UwpHCmIjRbYMm3h5nN+X2mFJzN3/gDHk6vPASEyYeQp/Jd6CP5wUMGMFk341zF8n5SCGUIIkSuUUph1CrMudy7kTqT/rFmXO+8rEwpbH/vYx/iv//ovHnnkEcD5j9m7dy//+q//ysUXX5z2/fT19fHBD36Qz3/+86N+39q1a1m/fn3ya4/Hk3L7unXrePzxx/nZz35GWVkZX/nKVzj//PPZvn07pumsCbj00ktpbGzkiSeeAJzFcJdddhmPP/54Ro97JiilMEsNbJfzJDMKc+sPIB1KJYpf+BSUpvc94T9EiT2X/nCYZ4UL75q5ueh+LjwHhDBrDHwXugn/YlDBjNcSBTNOm5t/u0IIISZORzVWg03kj5mtX4nvsHLqPGlCYes73/kOH/nIR6ioqCAUCnHGGWfQ0tLCySefzLe+9a207+fcc8/l3HPPHXMfr9ebrK8/VFdXF/fddx8PPvggZ599NgAPPfQQdXV1PPXUU5xzzjns2LGDJ554gm3btrFy5UoAfvjDH3LyySezc+fOKa0+ki2BK7wzfQjTzn2sK6OwNder8c3H54CYe9wfdGE12cS2DiqY8WSiYMaRc/tvWAghxPjsDpv4Lpv4TstZ65t+ce6kXOs9OqGwVVhYyHPPPcfTTz/NX/7yF2zb5rjjjksGnmzavHkzFRUVFBcXc8YZZ/Ctb32LiooKALZv304sFktWFAGoqalh2bJlbN26lXPOOYcXXniBoqKiZNACOOmkkygqKmLr1q2jhq1IJEIkEkl+PdK0STF1ZroMqRBianjXuLFbNNa7iYIZGkKPRMn7shejNHeuRAohhJh62tJYe23iO22sXRZ26+SDUq71Hp1wny2AD3/4w3z4wx/O1rEMc+655/LJT36SxYsX09DQwH/8x3/w4Q9/mO3bt+P1emlpacHj8VBSUpLyfZWVlclCHS0tLclwNlhFRcWYxTxuvfVWbr755uw+IJG2mS5DKoSYGspU+C7xELw7gu5MvKmGEgUzviQFM4QQYq6zezXWLssZwXrHynobolyb7TThsPXHP/6R733ve+zYsQOlFEcffTTr1q3L6ujWpz71qeTny5Yt44QTTmDx4sX89re/5eMf//io36e1Tjn5HulEfOg+Q/3bv/0b119/ffLr7u5u6urqMn0IYhKkGp8Qc1NKwYzEVHz7gCa8IYbvEimYMZbgDyPY3QPrN2WKsRAi12lbYzdp4rss4rustItdqHwwl5qYSwxiz8axm2fnbKcJha0777yTf/7nf+YTn/gE/+f//B8Atm3bxkc+8hHuuOMOrrnmmqweZL/q6moWL17M22+/DUBVVRXRaJSOjo6U0a2DBw9yyimnJPc5cODAsPtqbW2lsrJy1J/l9XrxeuVNbKZJNT4h5iazOlEw49FBBTNet4jWKLwfkoIZo7G7dXJE0B5nXyGEmCk6rInvtonvsrDettC9438PyglLrqUmrqUmRrVCGc55nrnAmLWznSYUtm699Va+973vpYSq6667jlNPPZVvfetbUxa22tra2LdvH9XV1QAcf/zxuN1uNm3axCWXXAJAc3Mzr7/+OrfffjsAJ598Ml1dXbz00kuceOKJALz44ot0dXUlA5nIbUoplEuhcU4wlF+q8QkxF7g/4MJq0sSeH1gBHd0Ux6wycC3JrWkguUBrjY4PXNnVIY21z5YLT0KIGae1xm4dmB5o7bHTuyLkA9eRJq6lBuYSEyN/5Ney2TzbaUJhq7u7m7Vr1w7bvmbNGr72ta+lfT+9vb3s3r07+XVDQwOvvPIKpaWllJaWctNNN3HxxRdTXV3Ne++9x7//+79TXl7ORRddBEBRURFf+MIX+MpXvkJZWRmlpaX8y7/8C+9///uT0xmPOeYY1q5dyxVXXJFsxPylL32J888/f1ZUIhQOo1Al/2aNQjmpEGKu8K52YbfYWO8MKZjxT1IwYzDrgO009Rx8dTgCwXsjOX2SIYSYXbTW6MYQ1s4eCNngNzCPKkDV+odd1NExpzR7PBGwdEd60wONCoW5NBGwFhlp9z/N1abL45nQK/MFF1zAhg0bhm1/7LHH+OhHP5r2/fz5z39m+fLlLF++HIDrr7+e5cuX85//+Z+Ypslrr73Gxz72MZYuXcrnPvc5li5dygsvvEBBQUHyPr73ve9x4YUXcskll3DqqacSCAR4/PHHkz22AH7yk5/w/ve/nzVr1rBmzRo+8IEP8OCDD07koYsZErjCS/5XfOR/xSdrFISYQ5Sp8F/iQZUMepMMQ+gnUXQkt8r3zhTrgE3wfyOjrnOw92uC/xvBOiATC4UQE2cfDBP9YQPR+97Deq4Na3sH1nNtRO97j+gPG7APhrE7baIvxQk+FKH31jChB6PEXrTGDlouMJcaeM93k3e9l7xrffjOceOqN1Gm4tZbb2XFihUUFBRQUVHBhRdeyM6dO1PuQmvNTTfdxMKFC8lfmsc5t6zmnSPexrvGjVln0NHRwbXXXstRRx1FIBBg0aJFXHfddXR1daXcz7e+9S1OOeUUAoEAxcXFU/BbHE5prTN+N/vmN7/Jd77zHU499VROPvlkwFmz9fzzz/OVr3yFwsLC5L7XXXdd9o52BnV3d1NUVERXV1fK4xNCCDF5VrOdUjADwPU+A9+ncm/+/XTSWhO8Z/SgNZixUBG40juvf19CzFfhcJiGhgbq6+vx+XwZf799MEz0R+9BOPWijdag8aJ1AJsAaE9a96eKFa6lBq6jTMzDjDErza5du5ZPf/rTrFixgng8zte//nVee+013nzzTfLy8gC47bbb+Na3vsX999/P0qVL+eY3v8mzzz7Lzp07KSgo4PXXX+fGG2/k8ssv59hjj2XPnj18+ctf5gMf+AC/+MUvkj/rxhtvpLi4mMbGRu677z46OzvHfBxj/V7TzQYTClv19fVp7aeU4t1338307nOShC0hhJhasVfjKQUzADxnu/CeMT8LZuiYU70r/LPY+DsnBL7klTWtQsxDkwlbWmuiP2xAN4UTXxuJcOVHaz+QxhpaA8xFBq6jEmuvKiY+ra+1tZWKigq2bNnC6aefjtaampoa1q1bl1yuFIlEqKys5LbbbuPKK68c8X4effRRPvOZz9DX14fLlbpy6v7772fdunXTErYmtGaroaEBgEOHDqGUoqysbCJ3I4QQQiS5P+DCbtZEnxtUMOOPccxqA9fSuVMwQ2sN4URlwW7tfOzS6J7Uz3Uw8/uO77AkbAkhMmLvC2Hvt7F1MVr70XiB8YOSynNKs7uWGLiONFH+7Iyq90/9Ky0tBZzc0dLSwpo1a5L7eL1ezjjjDLZu3Tpq2OoPQUOD1nTL+Kd3dnby9a9/nZ///Od0dHQAUFJSwqc//Wm++c1vTtv8RyGEEHOPZ7ULq8XG2j2oYMajUfK+7MUoy/0QoW2N7mUgRA0OVIM+kv5gVWY/Pyzr3IQQ49MRpzS79bZF7DUN9sK0vk8RwVgM3rWFGDUDpdmzdlxac/3113PaaaexbNkyAFpaWgCGtWyqrKxkz549I95PW1sb3/jGN0YNYtMpo7DV3t7OySefzP79+/mHf/gHjjnmGLTW7Nixg/vvv58//vGPbN26NaXnlRBCCJEuZSj8n/TQd3dkYMF1GII/iQCguwENygf+T09vvz0dGz76ZHcNDlGge/WMNsBSPlmvJcRcprUesRqfLh/7QovWGn1IE3/bJr7TckqzW/23jnUhy0YRwlBBlAqhlIVZWYJZW5ylR5Tqmmuu4dVXX+W5554bdtuwaohaj/j6393dzXnnncexxx7LjTfeOCXHmYmMwtZ//dd/4fF4eOedd4aly//6r/9izZo1/Nd//Rff+973snqQQggh5g8VUPgv9RC8d6Bghm5N3UdHs1f2fMRpfSNM8ZvItL4JcYMqVE6bC5OBUb40uI6ZO9MthRCp+ltADC2YE/1THFUNruWp61t1XGO954Sr+C4b3Z7uyHcUQ4VQKogizLA845+aWQbXXnstGzdu5Nlnn6W2tja5vaqqCnBGuPp77QIcPHhwWB7p6elh7dq15Ofns2HDBtzumV/zm1HY+vWvf80999wz7IGB84u4/fbb+fKXvyxhSwghxKSYVQa+j3sI/zw65n79Zc8DX/SOGLhmelrfUCoAqkChipwwlfJ5f8DyDVzBzaQaoSpVGLUysiXEXNTfAoLwyLfrZqg4VIVdrIn2xp3mwu/aMPZLqMPUKMsJV07Iio+9+9EFY96eKa011157LRs2bGDz5s3DCvHV19dTVVXFpk2bku2iotEoW7Zs4bbbbkvu193dzTnnnIPX62Xjxo0Tqso4FTIKW83Nzbzvfe8b9fZly5Yl51UKIYQQk+F6n4HKB907zo6JvlzuFQa6B3SXxu7R6K5pnNZngMpXqEIGglORGh6s3JmFIaWckbuxTrL66Q6NtcvGdZSMbgkxl2itnabm47wGGDET62Gw0rh6pIoSpdmXmhj1itgDLclqhGN+X40PtdCf7qGn5eqrr+bhhx/mscceo6CgIJklioqK8PudZsrr1q3jlltuYcmSJSxZsoRbbrmFQCDApZdeCjgjWmvWrCEYDPLQQw/R3d1Nd3c3AAsWLEj23927dy/t7e3s3bsXy7J45ZVXADjyyCPJz8/P6uPql1HYKi8v57333ksZ2husoaFBKhMKIYTICrtRjx+0EnSHJvqkNf6OEzFoWt/gjymf55P1heL9zEqDwBe9I04fSqEh9LMo/s94cB0hgUuIucJu1GmNbo9JOaXZzf6AVZm63tV9Yc2IfbZS+AzcF9ZkfZ3sXXfdBcCqVatStq9fv57LL78cgBtuuIFQKMRVV11FR0cHK1eu5Mknn6SgwBll2759Oy+++CLgBKfBGhoaOOywwwD4z//8Tx544IHkbf0jZc8888ywn58tGfXZ+sIXvsDu3bvZtGkTHk9qU7NIJMI555zDEUccwX333Zf1A51p0mdLCCGmV+TJGNE/jT2dZbKGTesbEqKGTuubSVprem8PQ38A9YLv427Cv41B96Ad3eD/nAfXYglcQsxmWmt0hyb8+xjWW5kP0asAmEtMZwRryfil2e2DYWK/bhpxhEvV+HBfWINRkRtT86bLtPfZuvnmmznhhBNYsmQJV199NUcffTQAb775Jj/4wQ+IRCI8+OCDE3goQgghRKpJlTHvn9ZXBEZB9qb1zSSlFMql0Di/F+VXuI91YVYYBO+LDIwCxiD0YJTA572YC3O/XL4QIhGsujTWfo3dZGPtt7GabAhlfl9GtcL3UQ/GwsxKsxsVPjxX1KP3h7De6oGQDX4D8+gC1EJ/Tlx0mo0yClu1tbW88MILXHXVVfzbv/0b/YNiSilWr17NnXfeSV1d3ZQcqBBCiPkl0zLm5jEG3tPdUz6tL9cY5Qb+y72EfhQZqJgYgeADEQL/6MWsksAlRC7RWqN7wNpvYydClb3fzlrFU9eR5oSbmyulULUBjNpAdg5GZN7UuL6+nt///vd0dHTw9ttvA87cyP4uz0IIIUQ2uI4xM5pG6P2QG7N2bgcLo1Al630YhQNh0qw08H/WS3B9BCKJjSEI3R8h8AUvxoK5/XsRIpfZPamjVfZ+O+31qBMhLSByS8Zhq19JSQknnnhiNo9FCCGESDJqFcZCldbCcGPh/Ch7HrjCO+pt5kKDwGc9BB+IJss96z4I3u+UxjdKJHAJMdXsvoFg1T9qpbvH/76RqAIwagyMGkX8VRvdlkYLiGrmxWvhbDLhsCWEEEJMpbTLnvvAd5FH1hMA5iIT/z94CD0YhcSgoO6G4PqoM8JVJL8jIbJFBzVWf7BqsrH2O+uuJkLlgbHQwKwxMBcaTsgaNHptvW/sPlsAttvC81FTXgtzjIQtIYQQOWu8sufGQieQjdTQeL5yHW7i/3sPoYejkKiGrzs0ofsj+L/gxciXEzEhMqVDGqu5P1hprP02umOCwSrgjFiZNYYTsBYmKqGOEZLGey1U1XBweQt1C0ZuzyRmjoQtIYQQOc2sNAhc6SX4PxHsTg0alA/8n/Zi1I59gjJfuZaa+D7pIfxINNnU2T7kBK7AP3pRAfmdCTEaHXGClb3fGa2ymtKbwjciHymjVeZChSqe2OtW/2uh3aiJ77DQYY3yKWd9a3mE+HvjNzMW00/ClhBCiJynlCLvmvnV32Wy3O8z4eNuwr+MkagWj31AE/xxhMDl3oyrPQoxF+loIlglRqvs/TZ2m07+zWTE6wSr/lBlLjRQJdm9IKSUwqxTw6oNqrD8PecqCVtCCCHEHOX+oAsdg8hjA1e87f2a0ENR/J/1oDxygiZmD631pEa4dUxjt+iUqoB26wSDlQfMagNjoXJGrmoMVFlmfa3E/CBhSwghhJjDPCe4IAaR3w0ELmuPTejhKP5/8Myqxs5i/rIO2M56pQMDyUhHIXhvZMS1mzqusQ/oQcUrbOyDOjmtNiNuMKoSo1WJdVZG+dwMVlprdFMX1q5WCMXA78ZcugBVUyRTtidIVhQLIYQQc5znZBees1Ovr1rv2IR+HkXHJ7gWRYhpYh1wKvGN1gbC3q8J3hsh/HSM8GNR+u4K0/vNMMG7I0QejxHbbmG3pBm0XE7pdPeJJr6L3ASu9pL/dR95X/LiO8+De7kLs8KYk0HLbu0luv5Fove/hLW1AeuvjVhbG4je/xLR9S9it05Nc7Bbb72VFStWUFBQQEVFBRdeeCE7d+5M2UdrzU033URNTQ1+v59Vq1bxxhtvJG9vb2/n2muv5aijjiIQCLBo0SKuu+46urq6kvu89957fOELX6C+vh6/388RRxzBjTfeSDQanZLH1U9GtoQQQoh5wHuGG6IQfXagUbS10yb8ixi+T7pR5tw7eRSzn9aa8Ibo2O0fAKIQeyb9JugAmGBUqoHiFTUGRoVCuebf34Ld2kv0xy9BeOTfoW7uJvrjl/B89kSMBflZ/dlbtmzh6quvZsWKFcTjcb7+9a+zZs0a3nzzTfLy8gC4/fbbueOOO7j//vtZunQp3/zmN1m9ejU7d+6koKCApqYmmpqa+M53vsOxxx7Lnj17+PKXv0xTUxO/+MUvAHjrrbewbZt77rmHI488ktdff50rrriCvr4+vvOd72T1MQ2mtNZySSsN3d3dFBUV0dXVRWFh4UwfjhBCCJExrTWR38eIvWClbHf9nXMVfy5erRezm7XPJnhvZPJ3ZIBRMShYLTQwKudOsAqHwzQ0NFBfX4/Pl1kxIa010fUvopvH776sqgvxfH7llE4pbG1tpaKigi1btnD66aejtaampoZ169bxta99DYBIJEJlZSW33XYbV1555Yj38+ijj/KZz3yGvr4+XK6Rx5e+/e1vc9ddd/Huu++OePtYv9d0s4GMbAkhhBDzhFIK77luiEHszwOBK/6KRcQN3o+6ZV2GyCnxHdb4Ow2lwFigEj2sEiNWVUrWJ45CN3WlFbTAGeHSTV2ohcVTdjz9U/9KS0sBaGhooKWlhTVr1iT38Xq9nHHGGWzdunXUsNUfgkYLWv379P+cqSJhSwghhJhHlFJ4P+pGxyD+t4ET2djLFngU3nNcErhETtCWJr4ns4oW5tEG/k9Kpc1MWLtaM97fmKKwpbXm+uuv57TTTmPZsmUAtLS0AFBZWZmyb2VlJXv27Bnxftra2vjGN74xahADeOedd/j+97/Pd7/73Swd/cgkbAkhhBDzjDIUvovchGOa+JsDJ7Ox5+MoN3jPcs/g0Yn5TmtN/A2byKYYuj2z1S7mAkOCVqZCGTZDznT/DFxzzTW8+uqrPPfcc8NuG3oRSGs94oWh7u5uzjvvPI499lhuvPHGEX9OU1MTa9eu5ZOf/CRf/OIXs3Pwo5CwJYQQOU5rTd8BTee7FlZEY3oVxYeb5FVmt1mmmF+UqfB90kPop1GsXQOBK7o5Dm7wni6BS0y/eINF5A+xUSsPjsd1jJnlI5oH/Bn+rWe6f5quvfZaNm7cyLPPPkttbW1ye1VVFeCMcFVXVye3Hzx4cNhoV09PD2vXriU/P58NGzbgdg8/1qamJs4880xOPvlk7r333il5LINJ6XchhMhhoTabHY9EeOvRCC3b47S+btGyPc5bj0bY8UiEUNtEmsYI4VAuhf/THszDU08HopviRLdlWNlNiEmwWmyCD0YI/Sg64aBlLFQYtXIBKlPm0gVTuv94tNZcc801/OpXv+Lpp5+mvr4+5fb6+nqqqqrYtGlTcls0GmXLli2ccsopyW3d3d2sWbMGj8fDxo0bRywUsn//flatWsVxxx3H+vXrMYypj0IysiWEEDkq1Gbz1i8jWKMU4goe1Lz1ywhHX+zFXybXzsTEKLfCf6mH4I+j2HsHwnvktzGUG9zHy6mCmDp2p03k6TjxVywYIWMZ5QrXiSbRp+Njl3/3ge8ij4z2T4CqKUJVF6ZdjVDVFGX151999dU8/PDDPPbYYxQUFCTXaBUVFeH3+1FKsW7dOm655RaWLFnCkiVLuOWWWwgEAlx66aWAM6K1Zs0agsEgDz30EN3d3XR3O49nwYIFmKZJU1MTq1atYtGiRXznO9+htXVgrVr/6NlUkFdQIYTIQVprGp6Kjhq0+lkRaHgqyjGXeOUkQ0yY8ioCl3kIro9gNw2c8YYfi4Eb3B+Q0wWRXTqoiTwbJ/ZiHEYYRFUF4PmwG/dyE2UqXIebhDeMPOplLFT4LvJgVspFp4lQSuH+6LIx+2wB4HPh/uiyrL/X3HXXXQCsWrUqZfv69eu5/PLLAbjhhhsIhUJcddVVdHR0sHLlSp588kkKCgoA2L59Oy+++CIARx55ZMr9NDQ0cNhhh/Hkk0+ye/dudu/enTJNEZz33KkifbbSJH22hBDTqbfF5q1H0+8tc/QnveRXyYmGmBy7TxP6UQT74KBTAwN8n/LgPlbWwojJ0zFNdFvcaa490kiVFzwfcuE52TWs0IXWGrtRE99hocMa5VO4jjExamX96mT6bPWzW3uJPf76iCNcqroQ90eXZb2hca6TPltCCDEH2HFNpEsT7tCEO23CnZruvZn1lul815KwJSbNyFP4L/cSvC+CbksELhvCj0RR/+DBtUQCl5gYbWunn9sf4+juEa7zm+A+0cRzhhsjb+TgpJTCrFOYdfJaNxWMBfl4Pr8S3dTllIMPxcDvxly6wJlqOM8D7URJ2BJCiGmgbU20tz9QaSKJUBXu1ERHOvHIkBWRSQoiO4wCReDzHoL/G0V3Jp5XFoQejuL/rAdXvQQukT6tNdYum8iTsdQR00FcHzDxnu3CKJEQNdOUUqiFxVPWR2s+krAlhBBZorUmHoZwh02kM3WkKtKl0ZkNVmXE9MoVR5E9RpGRCFwRdE9iYxxCD0UJXO6VkQWRFmufE7Ks90aummoeaeBd7caskeeTmLskbAkhRIasmE6EqYHRqf6RqvEKWkyV4sNltEFkl1Fq4P+8l9B9EXRfYmMUgj+OEPhHL2a1nCCLkdmHbCJPxYi/MXLIMqoV3nPcuI6Q1y0x90nYEkKIEdiWJtozMDoVSYSqcIdNrG/870+XywfeYgNfsXL+lRh4ixWeQti1IUpwlGk3QwVbZc2WyD5zgYH/c16C6yMQSmwMQ+j+CP4veDEr5DknBtg9mujmGLE/WzBCzlIlCu/ZLlzLTJQho/FTQereZVc2fp8StoQQOU9rTd8BTee7FlZEY3oVxYeb5FVOrgKV1ppYHwNhatC0v2i3RmepX7DhAm+RwleiBoJViYGvSOHyj3789Wd7xuyzNdjezXHQigop0S2yzKw2CHzWS/D+CCSeizroBK7AF7wY0uNt3tMRTfS5ONGtcYgOv10FwLPKjXuFiXJJyJoKbrcbgGAwiN/vn+GjmTuCwSAw8PudCHlXFkLktFCbTcNTw0d4WrbHCVQo6s/2jNvQNx5JTPvrtIcVqLBjWTpQBd5Chbd/hKrYwFfifO7On1go9JcZHH2xd8THD6BMUtaB7d0SQ9tQ+Xfy0i6yy6w18H/GQ+jHUUj8zegeCK6PEviiB6NYAtd8pOOa2J8toptjA1NNB3OD5xQXntNcKJ+ErKlkmibFxcUcPHgQgEAgINUDJ0FrTTAY5ODBgxQXF2OaE5/yKn220iR9toSYfqE2e9yRHdMLR1/sxVusUsqnDx6piodG//5MuQODpv2VOKHKW6zwFikMc2re2EYb2fMUwNuPRQm1pb6M157qouq4iV+FE2I08d0WoYeiMCjkq1JF4ItejAI5sZsvtNbEX7eIPBVHt49wGmmA+zgTz4fd8ryYRlprWlpa6OzsnOlDmTOKi4upqqoaMbimmw0kbKVJwpYQ00trzY5HImmtWVIGWZvyB2C4SQlS/Z/7ihWmJ7dOHGIhza5fRwgdSv09LTzZRfUJErhE9sV3WIR+Fk1Zk2MsUPi/4B21P5KYO+LvWk4Z9/2jlHE/xsCz2o25QEY7Z4plWcRi2Zq2MX+53e4xR7SkqbEQYlbrO6DTLg4xkaCljMQ6qmI1bKTKFWDWTL9w+xVHXeRl168jBFsHfl/7X4ijbag5UQKXyC7XMSa+T7gJPxqD/r7HrZrQAxECn/eixliHKGYvqyVRxv3tUcq4LzLwnuPCXCQVBmeaaZqTmvYmskvClhAiZ2jtrK3q3mdz8G/ZuSrnyVfDRqe8JQpvgZoz1bBcPsXSC73seix1JLDpxUTgWumaNeFRzA7u97sgBuENA3+ndrMm+GCEwOe8KOn7NmfYnTaRp+LEX7WS4XowY4FyemUdbcjrjBAjkLAlhJhR0V5N9z6Lnn023Y3WhMuqu/xQtNhMFKhwilN4ixSme368+fcHrrc3RulrGbjy3PyyE7gWniyBS2SX+zgXOgaR3wwKXPs0oZ9E8V/mQc2Tv725Sgc1kWfjxLbFU9bo9VMF4DnLjfvvTNQUrVcVYi6QsCWEmFbxkKZ7v03PPovuRqeQRTaUH+ui9pT5PWXO5VUs/ZiHtzdG6W0eCFwt253AVXuqBC6RXZ6VLohpIn+IJ7dZDTahn0bxX+qRMt+zkI5poi/Eif4pDuERdvCC53QXnpNcqBxbwypELpKwJYSYUlZU09tk091o073PGlbIIVuKD5f56QCmR7HkAg+7fxOlZ/9A4Drw1zja1tR9yC2BS2SV5zQ3OgrRZwYFrrdtwo9E8X3KI6Mes4S2NfG/WkSejqG7R9jBBPdKE+8ZblRA/k+FSJeELSFEVtmWpq/FpnufTU+jTd8BO+0CFoYL8msMCmoNChYa7N0SS6tIRqBCkVcpb/79TI/iyI8mAlfjwC//4N8stA2LzpDAJbLLc6YzpTD23EDgiu+wCf8yhu8T7jmzPnIu0lpj7bSJbIphj/R6q8D1ARPvWS6MEqkwKESmJGwJISZF25rgocS6q0ab3iYbOz7+94FTETCv0glXhXUGeVVGSq+q+rNVWn226s/2SHgYwnQrlnzUw+7fRuneOxC4Wl9zAtfiMyVwiexRSuFd40wpjL04sMAn/ppFxAPeCyRw5SJrn03kDzGsPaNUGDzSwLvGjVktIUuIiZKwJYTIiNZOs+CexLTAnv32mGFoKH+5orDOdEavaowx+1b5ywyOvthLw1PREUe4AhWK+rM9+MvkRGAkhktx5Hke3vl9lK73Bk6mDr3hBK7DPiwnwCJ7lFJ4P+JMKYz/dSBwxbZb4AbvRyTg5wq71SbyVIz4myOHLKNG4V3jxnWETM8WYrIkbAkhxhXt6V9zZdOTYcVAb7GisNagoNYJWO4Me/D4ywyOucRL3wFN57sWVkRjehXFh5vkVSo5eRuH4VIc8REP7/4+SmfDwIlV2w4LbDjsbAlcInuUofBd6CYcg/jrgwLXNgvlVnhWS5GWmWT3aKLPxJwAPELOUiUK79kuXMtMeV0QIkskbAkhhomFnJGrnkaL7n02ka70i1q486Cw1qSgzqCw1sBTMPlRJ6UU+VWK/CoZwZoIw1Qcfq6Hd/8QpfOdQYFrpzPCVb9GApfIHmUop+lxXBN/a+D5Fv1THDzgXTW/q4bOBB3WRJ+PE30+DiO0MFQB8Jzpxn2CKRUkhcgyCVs5TmtN2yFN416LWFTj9ihqF5mUlcsVfZE9VlTT02Qne11lUjHQ9OKsuUqMXPlK5LmZiwxTcfg5HhqejNGxe2DEof1tC6019Ws8KevlhJgMZSp8n/IQ+kkUa/egwPXHOMqj8Jwipx8TFfxhBLvbeY02ChWBK7yj7qvjmtifLaKbY+iRZiS4wXOqC8+pLpRP/v6FmAryapfDujpstj0fpb0t9cR3x+txSssUJ53qoUgqA4kJGFwxsLvRJjiBioGFdc7UwEC5klGRWcIJXG4aDGjfNRC4OnbbaDvK4WslcInsUS6F/+89hB6MYg1aMxj5fcw5yV8hpyATYXdrdKI/4Wgv29rWxF+3iDwVR3eMcPHMAPfxJp4z3RgF8jcvxFSSV7oc1dVhs+mJCLHoyLe3t2k2PRFh9VqvBC4xLm1rgq2a7kaLnn02vc0TqBiYmBY4tGKgmF2Uoahf7UYZ0PbWQODqfNfmnd9HOeJcCVwie5RH4f+Mh+D9EezGgZP+yOMxlAvcy+U0JNvi71hEnoxhN408Q8F1rIH3bDfGAjl3EGI6yKtcDtJas+356KhBq18sCtuej7LmPK9M25rDtNYZF4dIVgxMTAvMtGJgYIGioNaksM4gv3rsioFi9lGGShTGgENvDgSurgab3b+NcuRHPBiybkNkifIqAp/1EvxRBLslEQA0hDfEwK1wL5OKd+nSWqPjAyFKhzTWPhujVmG3aCJPxlKmbQ5mLjbwrnFhLpLftxDTScJWDmo7pIdNHRxNe5uzpqt8gZwYzUWhNnvEsuct2+PDyp5Hup0mwt2NE6wYWJdYd7XQwJVhxUAx+yilWPxhJ3C1Dqoa173HZvdvohxxngfTLc8DkR3Kr/B/zkvovgj2oUGB69Eoyu3BdZQEgPFYB2zCv4pC76CNEQjeGwE/EBr5+4wFThl38yhDLswKMQOU1jr9lfDzWHd3N0VFRXR1dVFYWDilP+uV7TF2vJ7mHC+gusbgg8e7KSpWGLJ2Zs4ItdnjNvQ1XFC42CB0SGdeMTDR66qwzsSTL8+b+Uprzb5nYxx81UrZXlBrcOT5ErhEdtndmuD/RlLXEbnA/xmP9HQag3XAJvjDCGQwQ0EVgvfDblzLpYy7EFMh3WwgI1s5KBbNLP82N9k0N0UwTSgpMygrU5SWG5SVG+QXzP7KcBOZRjfbaa1peCo67tQ/O05KKe/RmD4oXGhQUGdSWGvgLZ67vzuRGaUUdac7I1wHXhkIXD2NNm9vjLLkox6ZRiqyxihUBD7vIXhfFN1/gSgOoZ9E8X/Og2uxBK6htNYEH42mH7S84DndhedkF0oulggx4yRs5SD3BE9sLAsOHbQ5dBDAOWnyeKC0zEiGr9Jyg0Bg9rz4ZjKNbqZprbFjYMfAiukhH8GOaezo6LdZ0cTHGMTDGis88WMZXDGwsM7EL60CxBiUUtSe5vTaavnLwKh6b5PNro1Rll4ggUtkj1FiELjcQ/C+CLp/SlwMQg9GCXzei7kwN17TZ5qOaeyDmtgbcTiQ/kVY36fcuJfI6Z0QuUKmEaZpOqcRHmq12fS7DOYKZMjvJyV8lZUZeLy5dyKVzjQ60wtHX+zNOHBpW2PHSQk4KR+jqaEpvdsm+YAnKb/GqRZYUGeQVykVA0XmtNY0bYvT/OfUacx5lYolH/PiysHXCTF7WQdsQj+KoIODNvoh8I9ezFEamGfSY2o2sfs0douN3WJjNWusZhvdqmEiZ2jHmRRc5Mn6MQohUsk0wlmsrFxRWqbSKpJRWKQ4/EiT9jZNe5tNb8/43xMKwf59Nvv3DUw/yy9QA+GrXFFSauCawWpk6U6jsyLw9uNRFnzARMeHjCpFh4wc9Y8uxUi77PlsUXasSf1Z8uYqJkcpRc1JLpQBTS8N/JH0HdDs+nWEpR/z4pLGpyJLzEoD/+e8BNdHoH8kPwSh+yMEvuAdsTR5Oj2mcpm2neO3mjV2s43VbGM12alFLyap512L6K44hXUmbil2JMSMk7CVg5RyGhaP1WcLwO2B085IbWwciWjaD9m0HbJpb7NpP2QTGqVC0WC9PZreHos9DVbiGKCoeCCAlZYZFJdMXQEOrTVWBCLdTqGHnv3WsKmDo4n2aPY/PzfSk+F2/mmLjEq1yxuqyBalFDUr3WBA07aBv6vgQc3ODRGOutAr1SpF1pg1BoHLPAQfiELi/U73QfD+CIEvejFmcR9JHdPYrQOhKt5oYx/UqCmeBRGNQtMfYkAMf7micJHTxqOgxpCWDmJO2PT7CKE+5xzRn6dYfW5uj3BL2MpRRSUGq9d62fZ8dMQRrtIyJ5ANbWjs9SqqF5pULxxYZBzs08nw1f9xvB5eWkNnh6azw+Kdt50AZppQUmpQWq4oLXOmIRYUpr8WyI5roj1OmIp09/+ziXRpot3O9LzZxHCD6QHDrTDdQz56+oPTCLe5wfCA6VbOfSQ+Gm6Sv8veFpu3Hk0/bRUfLovKRXbVrHCKZuzfOhC4QoecwLX0Iq8EfJE15iIT/z94CD0YhcTTTXdD8EdRJ3AV5f5zTQc1VoszShVvdKYC0qFRQ96+030kGoi4nH+WgtI0Lpr26x103hk6pAkdinPgL6BMyK82KFzkrOUNLJC1vGL20VrT220TToyGR6OaQ602ZTm8Nl3WbKVpOtdsDaa100erca9FLKpxexS1i8xJPam01vT2OAGs7ZBN+yFNR7uNZY3/vUO53SRHvkrLFIUBhRGDaCJMRbsGQlUmfZ+ySg0NRSMEnRHCj+lWie2pYclwOwUopvKPWmvNjkciaY3uBSoUx1wija3F1Gj5a5zG51IvxftKFUdd5MU9i4rtiNwX32URejjaX98JAFWmnMCVaE/R+91wchqhKlbkf8U3rceotUZ3ONMAY/ss4o02+qDGyCAMDWUpCLsGwlXEC8YC8Jeb+EsVSmmM31j405jAEXLB3hLSSnUuH06F2jqnmJK3cPaOIor5oavDzngQYiqlmw0kbKVppsLWdLFtTVdnYgTskE1bm01Xh2bos8PQ4Ladfy574HO3dr6eqZfq4sMNKt7vwvAMCVQeUMbUBqOpMpUFQoTIxIG/xdn37JDAVaJYepEXT97s+9sSuSv2hkX4kWjKgiyjUhH4Ry8qoKY1bOl4ohrgPovYHhu7RaPaNWoCFyb7RQ2IuBOhyg26DDwVBv5yA3+pgb9M4S1SKX2xtNa8/eMwFe+AOcYZm6Xg4BFQscpNT6Ome69F6FD6p3jJ5vaJHoxSEEfkkq4OO63lNavXeqctcEnYyrKZHNmazh5TtqWTo1KhDpvugzbBdk20V0PYCVvZpgzwFio8hc6bjLdQoS3Yvy39dVhHf9JL/ijVq2az0UrfAzlX+l7MbQdfi7N3c2rg8hY7I1zSFFtkU+xvccK/jKVU4jMWKgKXe+n7n8iUhC0d1MQaLaINzjRADmmMPoZNA0z7/hgYqQq7wC4Gs0rhq3RGq/xlTr/DdKvGhtps3v1ZhAWHGHGEK+SC1nI4/NOpF99iQU1Po0X3PpvuvbbzXp4O5VQhLUyMfOVVSYVbMXO01jz520haheNKyxRrzpue2T4StrJsJsLWVJxoa62J9ZGyVioy6F8s3RfiDMUUxA2IGYnPTfAUQEGFQWm1QfkCk6JihZl4MZdpdAPmY1NnkZta34iz5+khgatQsfTjHrwFEvpF9kT/HCfyWOpzTdWBPgQkpuxpF6iPucn7gIFhpPf801pjHbKJvGMT22tjH9AYnRpzEmuGLTUQqqx8UJUKd42Bf4GBr9TAV6Iws9BcONRm07ApQvWb4Eq8NVpAYwkYNVC/euxZDlprIp2a7r023fssuhvttFuWGG4oWGgki234SuT9R0yf1oMWT/0+/T/S1R/xUj5CNdNsk7CVZdMdtiYzhSweSYSorkQBisHrp3o0ehJTIEajXIAXogqCFkT0oGBlgE7jNdkwoKRUJXuAEdIc3Bwfd9pE/XluKuql1osQ0+HQjjjvPZV6huYpVBx1kUfWfIisir4QJ/K78dNA1A/+T7gJLE19H7AiNpF3bSLvOYUrVJvG1QfGJGrGRw0nWMUCQJnCrFF4a4zk+qqpbv6ttab3rgh2pzPNX/vBfal3QhfftK3pO2AnwpdNb4uddl8vdx7OqFei2Ias3xTZEotqOjttOts1HR02ne027W3Dl7WM5ZhlLv7uePfUHWSChK0sm86wlcmojqdAUXKk4VT5SwSsTEqGp0sZzgmVN/HPmfJnJL8e3HunvwBHsvrhIU17u401gersHgsqQ+Ab4c0xbMABP+RXTN+QsRAC2nbGadiUOs3Lk++McPmKJHCJ7IlsiRF9avw3D0tB/DiFDit0q8bs0rgj6Vf/G6p/GmDUC7pYOaNViwz81c7aqrnYb86KanoaE6Ne+2zCHemfHvrLVDJ85dcYWRnJE3Ob1pq+Xk1Hu6YzEao6Opxtk3XkUpMVJ09971EJW1k2nWEr07Lf2eLOA2+hMRCqigbClTsvdcFupmxb0901qADHIZvOEQpwjEiD14L8uLM42FLQ64KISfKddLqGjIUQjvZdcd59MjVwufPgqIu8+GZxbySRW2zbpusbEVxT2ErRUhB1Q7wQVLnCrDXxLVb4K+b3iE20xxnxcv5ZxNOsuKgMyK8xksU2Agsmd/4gZr94TNPZqROByhm16uy0iU9RzzkZ2ZqlpjNsNW6N0bI9++8spmfw6JSBt0iljFZNd7NDy3KuaAxuwtzdNbGno98Pi+tdlFcYlC8w8M/jN0ghpkvHbot3/xBFDxp5dufB0gu9+EslcInJ63ghiut32Zv7HjMTUwBLFUaVwnOYiW+xgSdf1iCNRWtN6JBOjnr17LfTXpJg+qCw1kgW2/DK6PecpbUm2DdotKrDubDe0z25qBEIQDCY/v6yZmuWms6wteeZKK2vZ/7mogxnWmH/qJSnP1Qlvja9uV8CPRZ1ph/+7S8x2jIoWTtUXp6ibIGRDF8lpQpDrqwJkXUd71q8+/vUwOXyOyNcUilTZELbmlCbprfJpqfZprfZpqhFU5bBSVbyvoCYF+wihapQuOoMfEcYeCuMnH8fnA3suKa3eWDUK51lD/28RUNKzM/BKZnzQTzutAwaPAWws8MeszT7eFxuKC4xKClRFJcaFJcYFBcrTBdSjXA+yOWRrZKlBrWnuPFMcqpfLnlle4wdr2dvdM80obRsIHyVLzDw+efG70qImdbZYPHO74YELh8svchLoFwClxiZFdX0tTihqrfZKdAwtDpeZTcUh9O/z0g+5F3oxltvYHjkuTddYqFEiflEsY1oTwYl5isG1nuNV2JeqvNOP601oSB0dgyaAthh09OdWdGKofLzFcWlyglUJc5F8bwxRpilz9Y8kMtrtuZij6lDrTabfje169by81UyfJUtMCgukdEvISaqa4/F7t9GU6YWmT446kIvAVlPKYBor6a32aK3yQlXwUN63Op35b1kNLIVPlyx4PNT1+hYjE9rp1iX09vLoqfRxkpztMNwQf5CZ9SraJGBr3Tg5Fv6Tk49yxp5tCo6idMx0wXFxc5IVUmJ4QSsYgP3BCp3dnXYbHsuQt5ecCcu7tkKWvwQqICTTpu+oAXpZwOpl52D8ioVgQqVdo+pvMq5FxDKyhWlZSrtIeMzzvLQdkhzqNXmUKuzBmy86oe9vZreXov33nXODl0uKC0fGPkqX2DglekNQqSlaLHJkvM97P5tFDvxt2eFYeeGCEs/5iWvUk6C5hNta0LtemDUqtkmmuG6DcMN8UqgIf3v8S2X05qZppTCV6zwFRtUvN/llJg/qOne66z36muxU0bBB7Pj0L3HpnuPTSOJEvO1Jr5SRcv2+KihLXhQ89YvIyO2w5lrtNa0HdI07rWIRTVuj6J2kUlZeWaje6GQU7DCGbFyPu/umtxoVSBPpUwBLClV5Bdkb9TRY0NdUBG0Bw7S1FAXhEBQ4ZlEW4epJCNbaZpNfbbmiskMGdu2prNjUPg6aNM7gXKiBYVqIHxVGBQWyeiXEGPpbrTY/fhA4AKnOM+Sj829EXgxwIo5PZt6m216m5wT6nRHM/q58yC/2iS/xiC/2iBQrtBoOv5vBE8alfAifij9V2/aDY7FzLCimp79g0rMt2fvNDRQoTjmkrnbCqarw2bb89ERL0SXlilOOtUz4vlQd5emo90pVtFfETCSwfTcoUwTigaPVpU40wE93qn7vefiebFMI8yy6Q5bIEPmMLEXltGEQpq2RPg6dNCpfmhlWIfE5Yay8oHwVV4+tS8uQsxGPfst3n48mrL+xnDDkgs8FNSYM3dgImtiff2jVpYzJbBVjzpaMRp/mSK/2kiGK88oV8CDu+JEH4qN2+De85nhjY1F7ov2DlQ57N5nEZ9AQZTB5uLSCkjzArQblq9wEYuSMlplT2LExx+AkhKDosRIVXGJQUHh9F54zqT/7HQGbglbWTYTYQtkMShkb8h8KMsaNPp10Alhwb7M/xwKi1RK4Y3CovnzfyPEaHqbLXY9NkLg+qiHgoWZBy6tNb9/PEKw15nm4vbAaau8k34dEOPTWhPu0Mm1Vr3NNpEM23QYLsirdEJVfrVBXrWBK4MLVcFdcUK/iI04whXxQ+ATErTmAq2dipTd+5xiG71NdsooeTryFyrqTvXMqf5eWuu0q/FNlGFAYbFKjFQ5a6tKSnJjOUWu1jKQsJVlMxW2xPQKBp3Rr9aDNm2tzuhXpleE3B6SwatsgTP6NZGFoINt+n2EUCII+vMUq8/1Tur+hJgOvS02bz8WSZlOZrjgyPM9FNalH7iyOcItxmfHB00JTPwba+rOSFwBEsHKdKYELlBjVplL67hsm77bIpAY+dAuUB9zk/cBQ6YOzlG2pXnnd1G63st8aMb0QsFCg8Jak4I6A1/J7L0wk+2iYT4fKeuqiktyd5lELKTZ83SUznfTfw5UHe+i9pTcaWosl4GEGCQQUAQWm9Qtdk4E+xsvHzpoJUfAQuOsHYhFoXm/TfP+gReGohKVUnijoDD9F32tNb3dNuHE/Opo1BmNkyv6ItflVxksvcjLrl8PzLO34/D241GOPN9D0aLxA9d4U2fa2zSbnohMa7nfuSYW0sm1Vr3NNsGDoxcwGI2vVCVHrfKrDbxTMMJvGAbKo9BBJ3Qb+Yr8v5PTmLnMMBX+MmNCYcuKQOe7dvIk3R2Aglqnt1dh7exortzT7ZxLvPVmbPydR6DU4NGqRJn1UgN/Dre+ifQkXouabHqaJramz4rk1jiSvEoJMQbTVJQvUMlO5P3d0ZOFN1pt2tvGr97T1aHp6rB4Z5ezSMzjJSV8lZYbuN3DX/z6r+iHBy1kjcVg0+8ickVfzAp5FQZHJQJXPPE81hbs/k2UIz/ioeiw0QOX1pptz0fHbZIZi8K256PT1shypmRjWrnWmkjnQJXAniabSGdmJybKdP5f+9da5VcZuHL45E3MbsWHmxn1Hh1NLAjtuyza+9+HCxWFtQYFdQaFC03ceTP/HLYsTesBm6ZGi6b9Ti+riaioNDjuRDeFRQpzkiPKU2nwFOWeRMBKu0fbGMwcW0svYUuIDCjlNN3LyzdYXO9si8c1HW12ytqv8DhVfqIRaGq0aWq0E/frjH4t6J96uMDAsjRPPTH6iaZc0RezRWDBwAhXPDEyrC3Y/dsoR3zEQ3H9yIGr7ZBOe41Ce5tm9844dYtdeH3MudA1WsGklu3xMQsm2ZYmeHCgSmBvi538P0iXy0dKIYtAxdiNZ4XIpkza4fjLFOXvM+ndb9O938Ya47042q059KbFoTctIIavNBG+EqNfmawpnIy+Pmf0qqnR4kCzTXzyuZKyBQYlpbl3XqBtTbBV09NkJUev4pOoijia4sNzqxCTrNlKk6zZEunSWtPXm1p4o7Mj894VSpHW95SWqTl/RV/MDaF2m50bIinVxpQBh6/1UHLEwJtjPKZpbrJ57ZUYXRmOugB4PFBY5KxBcP45n+fl5+aahPFkUvLYnacG1lo12fQdtFMaTafDW+xMCSxIhCtvce5MWe79bhideE6oYkX+V6SB8XwwkbLfWmtChxLFNhoTxTbSnY2nILBAJdd75VcbmCPMPpkI23bOD5oabZr3W3R2ZP80fPVHvMkZOTPJjmt6WwamBfa2ZPB/gPP+EFigyKs26GpIrzCPVCOcxSRsicmIxzRtbQM9v1pbJ9eRfahceWEVYjyhdptdv44Q6xvYpgyoPdNNrxv277Voac68LUM6DMPpnVdYpCgsNCgsdoJYQaEacRpvLsik5LEyyThYKQMCFUbKeit3IDd/FwDBH0awE1OrjEJF4AopFjRfTLYdjm05hV96Gp1/vc3pr01UBuRVGYmRL4O8qsxGd8MhTXOT5QSsJmvcqdHgXHAtKzeoqTWoXmjw8guxtEb6Z/ICbDyiB9ZbNdsED2S2/tNwOb/n/BrnYk9e1UDIlT5b84CELZFNWmt6e1JHv7o6J965vbLK4IPHuykpnZ1X7sX8Eu602bkhSmxQo3ENtPihd+oLSI0oEFAUFCmKEiNhBYmPfv/MTknMtOTxeEwvKcEqr9LAcMlrhpgdstkOx4pp+pptuhttehot+g5q54UoDYYLJxDUGhTWmQTKU8vMa+1MgW5qtGhqtNKeDu3xQs1Ck+qFBtU1ZkrZ9bT6bHmY1qUF0T5Nb2JKYM9+m1CGpelNL8lglV9jjlu1NNf6z0rYyjIJW2KqxWKatkNO+HpnV5zgBBo7miaUlhkDfb8qDHw50CNDCBg4Adm/z6Lp3ThFzeAe9A6kgQM+6PFM7P4XHWYSi2m6u5ypvNngdju99AoSUxGLEh/zC6bmwoZtaSJdmnC7Jtxh07bLmlA1rn7eokFVAmtmd/lrkDYYYurEI9pZ69Vo0dOYWXAwvZBXbWDnQ0ccmttsImleIyktU1QvNKmpNSktG/t1ZSbbYGjtvDYNLmaRab89dx4U1JjO+s8aA39Z5q9HudR/VsJWlknYEtPple0xdryehVWyONOm+oNX+QKDohxafyHmPsvSHDxgs3+vxf59NsHgwFuOy4bavuGBq70AipeYLKwzeP1vcTrSCBtDp87E45qebk13l013lxPAurtterp0VqYoKgX5Bc5IWEFyfZjz0ZNGX7142AlT4Q6nGlco8XmkK/2r6yNx+aDsaDPZ3yoXKqxli9aaXz8SThYgcrth1WppbC2mRiyo6Wm0EiNfmQWLuIKgCSEXBF0QH5R/3G6oqjESI1gm/gyn7WqtaTukadxrEYtq3B5F7SIz638H2nYaTPcHq94mi1iGF4G9xSoxauWMXnkyaHszG0jYyjIJW2I6ZbuB4WBut1OpaEEifJVloemyEIPFYprm/TaNe50pNLExFkS7bFjYB54h70SLz3SzYJkr61NntNb09elkAOvpsunqckJZJEtVsfx+nABWCPleAx/gimusXhLhKvOKgOmarmae000aW4uZFum26dxj0brbJnTARmVQ6MEywVWmKK03qDnWhTc/956r/WvaksUsmu2UhvTjUhAoV4lg5Yxe5fL6z2yQsJVlErbEdNJa8+RvI2nN8y4qVhy51KTtkObQQZveDKdPKeXcR//I14IKg7z8uXX1SUy9UMiZHti41ylfbKexKLq0zLkiW1Vm0PR0bFi/p0VnuKn4gGvaTrQjkcHha+Dzvt6x11MqDW4bPP3/LOej24bpPqU6+pNe8qty70RuMnJxrYqYH7R2Rsib9ts0N1ocPJB4bUv8zQcsCMTBH4dMio0ny8zXmRQsnL4y84NZ0YFKgT37bfoOZFa5VBmQV2mQv3Cgcqk5zy7cStjKMglbYrpN9AQjFNLJohuHDtq0t6V34juY1wcL+qceVhiUlhk53RhRzIzuLmf0qnGfRVtrGtXylFPMpXaRycI6k8CgKW7RPs2uDRHCQ8og153upvKDrmmbOjMSy0oEr0OarmabYLtNrFujQ+COg0tDNo5AG6D84ClSBMoMCqsM8hco3nkiRiSNqZTeMsWyv59bbSAyufAkbTBENliW5mDLQGPh3nSa7Goo9sECv8IbgVibxk53JUCGZeYnumYpFupfb+UUtAi2ZjZl2XAz0BKiRorrgIStrJOwJWZCNq7oW5bTdLm1v/LhwfGbLg9lGFBSpihfYCanH2Y6z1zMfoMDT+Nei57u8d8+XC6oqXXWX9XUmmOuZ4oFNbt+HRm2ML32VBdVx03P1DhtayLdiXVU7QNrqsId9pglhzMRUxAzIGpA1Ex8NMBSDEttHi+YEajuHvvKuQV0VsEJZ3oAhbY1tnZ69WmblM+1dv4vbXvI7Ymvnc91Yj8G9kt+rke834H70EPua+jnepT77b+vgWO34mS0xk7aYIiJ6Ot1+l417XdG5tN5zhkGVFQaVNea1Cx0Wkj0h53BZea7G236Jlpmvi4RasyB8ufpVOPTWhPtSS1mMfRC1nhcfpJVAvNrjGEVF4WErayTsCVmitaa3z8eIZiYyuT2wGmrJr4ofGjT5dZWm64JNF3Oy08tvFFcImXn5yLL0hxotmncZ7F/n0U4jbVGPj8srDOprTOprM5sVDQWcka4hgaumpNMCutcWatAZUUHQlSoY6BYRaRTZ9QXZjTKAFeBQvkh5oKIhp64pjMEE7l7jwWVIfCN8M1hAw74neA23/kDTlXK0jJnPWp+gUyJFsPZtqb14EBj4XSbpwcCiupap7hFZbWRdn8+K6bpbe7v8TWxMvP+MkXr69aYTYGVCwoWGoTadEprjXR4ClOLWeRSM/NcJWEryyRsiblscNn5Q63Ov3SaLg7mcjkNGJNl5xcYeGZgHrqYvGjU6Q+zf58zlSaexnSYwiLlBKwsTO2LhzS7Hos401zGMVZvFa01sT6cINU+UPEv3GGnNFWeDNMLvlIDf4nCV6LwlTjl1b2FI18Ftm2nx1531+BKic7HsQqJOA8IvBbkx8HUzkhYrwsiJtmZxzgHuT1OO4z+8FVapgjkyUnkbDWZ6cShoKZ5v0XTfouWJnv8vzecqc/lC5zGwjW1Ztaq+U6mzHy2+MtUsgR7QY2JJ1/+JjIlYSvLJGyJ+URr52Swf+Tr0EE7rSljQxUWpRbeKJhjZV/nkmCfdkav9locaLHTGuksW6CoTQSswqLsTt2KhxOBa4TpMkOZXjjsbDfYKiVQhTv0mFeBM+EpdMKUf1Cg8pUauHzZaXqstSYcYlgAO9RqpxV2ZwulEv8MMBIfler/XCVvNxLbw2GdtSqR/bw+KCszKC13QlhpuYHfL69LuS7TafW2ndpYOJ0WEuA8P6oXmiysNaiqNqflouFkysynQxnOurD8GqcgR361gUt6cE6ahK0sk7Al5rtIWCdHvQ4dtGk7lN689sE8XpKjXuUVBmVlBq40pmHMZHGEuUprTVfnQAXBdAoQGAZUVicKXNRm3h8mU7GwzWvrI+kvNJ8kw+X0hfEnw1QiWBWrGVsInmnPvdIyRUWlOSzMJL9OhBpjUOhJDTgqJewMD0Yq5bbh+6kRft6gfTL8e53KNhiDBQKK0nKVDF+lZQZeGZnPGekWjDrjwx76+hLVA/dbRNN86pSVpzYWnun3lUj3wHqvnkYr85F45UwnTBazqBq76IaYGAlbWSZhS4hUtq3paB9Y+3Wo1SbYl3nZ+ZLS1LVfQ6f4SH+d7LFtTVurTeNeZw1WOlW23G6nwEXtIpPqhemvUciG3habtx7N/om2KwC+EiN1lKpE4cnB9T2Zho25ViAi02qEZ5zloaNd097mXBBqb7MJZdiItV9+QX/4UpSVGZSUTe/zXzgyeQ6ky+2B6hqTmlqD6hoTXw6PbGqtefeJKB2701/tWX6syWFneabwqASknw1c03hMQog5xDAUZeWKsnKDo45xtgX7+sOXxaFWm/a2sQtvaA3tbZr2NotdbznDZP4AlC8wKa8w8Pvg5Rdjo17NbG/TbHoiMuf762it2duueaPZIhTV+D2K91WbLCodPxzE44kCF3st9jdaaU3J8gdITg9cUDlzZf87381w6HQwBd6i4dP+fMVqVk2fKStXlJaptMNGWfnseWzpUMq5oJLOqMZJp3rw+Q2qFzrTwPoFg5r2RPBqb7NpP2QTSSO/9vZoenss9r43sK2wSFFabiSnIRaXKFzzvPz1VGs7pLMStIpLVHJ6YNkCY9YUdFJK4S0yyKS0jiuHw+N8JCNbaZKRLSEyF487V5gH9/1K5yQnU3O5v05Lt83PX46Qvx88iX5OFvCuH0rL4FMrvFQVpgbNSFjTtN+ZHtjcZGOlMQutqFgl+1/lwjQagD3PRGl9Pf3AFahQVJ/gdgpUFKlkueTZTpr6ZneEW2tNX5+m/ZBOhq/2tvQKJgylFBSVqJQ1YFKZNTOxqCYY1IRCmlDQ+RcMDnze1akntG7R5XKmPdfUmtQsTO3rN9tkOso/F5ub5yKZRphlEraEmDytnUpsrYPCV7old8fj84HXp3C5wOVWuBMfXSkfwe1SuNzgSnwc+Hpgv1xp4NzSbfO/f4xQ1Qt5I1zU7DOgJR++eJaXfAP2J6YHth5Ir8DFggqDhYsMautMCgpz7425cWuMlu3pn2VVHe+i9pTp6cc13WQ67dSu3dRa09M9EL7a2pz+hJmuS4VEX8LSgfVfZWUGBUXzL4BZliYc6g9PTjXAUCg1SIWCEwtSYykqURx3gntGR+WzTWvNjkfSKxgUqFAcc8ncvPiYayRsZZmELSGmRjTqrCNKrv06ZBPPUgW5iTKM1PDlHhTOBn90u4fuN3q46y8+kC6tNf/zZJiilrHne9uA5QJ3GicspglVNQYL65wCF7m8TgHkau5QUihmetm2U5XVCV9OCOvscJpBZ8rlgpLS/tEvNeEeYLnwHNBaE4kw4ijU4DCV7SqS6TpmmYu/O37uXXQJtdm89cvImM3VTS8cfbF3xFYYIvskbGWZhC0hpodtO9NGtr8Yo/VgFrrL5gilnBMu0wWmS2GaTvU7ZSoMM1GxzQQMQEFP1KZrP3gn+Qrt8SYKXNSZVNekV/0xV8jVXJFrLMt5feovvtF+yBmdn8iZVKY9wKZjdDMeG2tK38Do1EQC50QoBR4PGU0/n2tFYgYLtdk0PBUd8TVxrJ6DYmpI2MoyCVtCTK9XtkfZkcF6HZfLGT2KxZjQic9ckpennOmBi0wWVMyeheAjkau5ItfF45qOdqcgUP/6r+4J9kkarQfYZNft2bbTxy0lPI0wpW8i69YmyuMFv1/hDygCAeejP6Dw+53Q6fcrvD4ncGVSkXKurt/tp7Wm74Cm810LK6IxvYriw03yKmWEe7pJ2MoyCVtCTK/Xd8d57fn03/mbSiDqVsRtTSwO2gLbcgaKDO38M0n9aACmHvL5oI+GHvT5FDzGrDJh2TIXtYtMikvm1puuXM0Vs00sqmlv7y++4YyE9fVO7HTL74e4xZhBq19evqL+CMMJVqGBkalwaEI/ekJMk2Ro6g9QgQCDPlf4/JlVcZQiMSIXSdjKMglbQkytmKU52KNp7rJp7tK81hinom3kwhBD9Rmw049Tqm+qjBLShm1jSLAbYdvgfbPFU664+DxfFu8xt8jVXDHbRcI6WX5+sj3AZoJSTiEi/9BRqIBKCVJuT+bNq9MhRWJErpE+W0KInKS1piOoae5yglVLt/PxUK/GHvIeGvLC0tDYL1RxYI+XqQ1aOPdvAdYoP8dlgNsE0wC3qXAZ4DJJfFSoxPCYaYJpKNwmGErjVip1RC1R3r1jv0WsM/3DK8qf24FDKUV+lZrTBTDE3Ob1OX2estEDLNvc7tSRp5TPEyNUPj8zOiW5qMRgzXneGS8QIkSmJGwJIaZMKKpp7nZGqloSI1Yt3TaRNEv9hk3Y5YfFkdFLn+/xOvu5TcjzqEEBB1yGGjcE9X/tNlRin+G39X/tHuV7TZX9K7mtiyye+n0a84YS/txus6TNZrFMpxNi1ggEFIFFTgNxGLkHWOtBe8IFKQyDIaNQI4Qqv5o1hXOUUpQvUHO2AIaYmyRsCSEmzbI1rf1TABMjVS1dms7Q5Gcph01nimDAhuK4M/pjKeh0QTBRuQ/gy6d7WVQ6d96AyxcYFBQretLoQ9ZnQJsFdz8b4ZLj3SxfJC/tQsxGSiny8xX5+bDoMCeAZVosqG6xwfs+4CYQUHi8UzOlTwiRPnlHFkKkTWtNd5jEuqqBkaqD3RprErnKv+5k+gAA40RJREFUZUBVkaK60KC6yKCqSFFVoPjRC1EaO5x5dUHT+TeSuhJFXcncOqFQSvGh0z08+fvImH3HBk+jjNvw8MsxDvRo1hzrwpCTLCFmvdpFrozC1tHvc1Myhy48CTHbSdgSQowoEte0JMJUf7Bq7rIJTbI0cFmecoJVkZEIV4qyfDViMPjUCR5+sDky5s/0u+GSEzxz8uptUYnBmnO9Yy4Kr1tm8u7rcRi0zuOPb8U50G3z9ys8eDKo+CWEyD1l5YrSMpV26fOycvmbFyKXSDXCNEk1QjFX2VpzqFcPWlflTAVs75vcS0PAgzNKVZgIVkUGlYUKb4Yn/y3dNj//c2KEa4i6EsUlJ3ioKpzbV3G11mMuCu/os/nR1igt3am/o4XFistP9lIckJMvIWYzKX0uRO6R0u9ZJmFLzBStNXvbNW80W4SiGr9H8b5qk0WlmVdf6g1rmgZVAGxJfB6f4OJrcIpDVPQHqkJFVSJYFfqyt1ZAa82+Ds3rTQO/g2U1JnVzrJ/UZIRjmp++HOXN5tT/zEIfXH6ylzqZViTErCalz4XILRK2skzClpgJY43q1JYoPjXKqE7M0hzo1sm1Vf3hqneSJYWLA4rqRLDqnwq4IF9hzmA5YDHA1prfvR5ny67Uco8uAz51gpu/q5OZ40LMZuONcgshps+sCFvPPvss3/72t9m+fTvNzc1s2LCBCy+8MHm71pqbb76Ze++9l46ODlauXMn//M//8L73vS+5TyQS4V/+5V/46U9/SigU4qyzzuIHP/gBtbW1yX06Ojq47rrr2LhxIwAXXHAB3//+9ykuLk77WCVsienW0m2ntV7p0hPdxG2VrADY37NqMn/YXhfOCFVyCqCiqtDA75E389ng5ffi/PIvsWFFS1Yf42L1MS45KRNCCCEmaVY0Ne7r6+ODH/wgn//857n44ouH3X777bdzxx13cP/997N06VK++c1vsnr1anbu3ElBQQEA69at4/HHH+dnP/sZZWVlfOUrX+H8889n+/btmKZTuuzSSy+lsbGRJ554AoAvfelLXHbZZTz++OPT92CFyIDWmp//OTpuMYpQDO57fuIVKwwFC/L7p/451QCrihQlAblKOputOMxFWb7ixy9E6Ru0xmPTjjgHezSfOsGN25T/XyGEEGKq5cw0QqVUysiW1pqamhrWrVvH1772NcAZxaqsrOS2227jyiuvpKuriwULFvDggw/yqU99CoCmpibq6ur43e9+xznnnMOOHTs49thj2bZtGytXrgRg27ZtnHzyybz11lscddRRIx5PJBIhMqiNe3d3N3V1dTKyJabFzgMW//tc+g1t01Hog6pBpdWriwwqCpScdM9h7YnCGQeGFM6oK1F87mQvRX75vxdCCCEmYlaMbI2loaGBlpYW1qxZk9zm9Xo544wz2Lp1K1deeSXbt28nFoul7FNTU8OyZcvYunUr55xzDi+88AJFRUXJoAVw0kknUVRUxNatW0cNW7feeis333zz1D1AIRL6Ipr9nTaNnTb7O2waOzTtwYlfA3GbJCsAViVKq1cXGeR55cR6vinNM7hmlZefvBTlrZaBwhn7OjTffybM5Sd7qZUF9UIIMWtks2iWmB45G7ZaWloAqKysTNleWVnJnj17kvt4PB5KSkqG7dP//S0tLVRUVAy7/4qKiuQ+I/m3f/s3rr/++uTX/SNbQkxGX0TT2OEEq8YOm/2dmo5JBKt+C4sVZx3tpqpw9J5VYn7yuRWfP8XDb16N8afdA41Ru0Lwgy0RPn2Chw/UjtItWgghRM4YrWjWMzvjYxbNEjMrZ8NWv6EpXWs9bnIfus9I+493P16vF6/Xm+HRCjGgN6yTocoZtdJ0hqZm1u7SSpP3L5QTZjEyQyku+KCHysI4v/prDDvxNIxZ8OCLUc7pcXHW0VI4QwghctV4RbMaOzQ/2BzhqlVeCVw5JmfDVlVVFeCMTFVXVye3Hzx4MDnaVVVVRTQapaOjI2V06+DBg5xyyinJfQ4cODDs/ltbW4eNmgkxUd1h7UwB7J8K2KnpmmCw8rqgNE/R3JX+9y+rkaAlxrey3kV5vuLH26IEBy0J/MObTuGMTx4vhTOEECLXZFI065E/R7n2TO+cvXg2G6dR5mzYqq+vp6qqik2bNrF8+XIAotEoW7Zs4bbbbgPg+OOPx+12s2nTJi655BIAmpubef3117n99tsBOPnkk+nq6uKll17ixBNPBODFF1+kq6srGciEyERXaFCwSoxcdYcndl9eFywsNlhYrKgtMagtNigvUCjg/z0TGbG/1lB1JYq6ktx8gRG554gFJtee6WX91igHewaeX3/dZ9HWZ/O5k70U+uT5JITIPbPxRDsTttZE406T+lBs4GNjh5XW+QA4a3I37YixsNjE6wKvS+FJfPS6wWMya3tjztZplDNajbC3t5fdu3cDsHz5cu644w7OPPNMSktLWbRoEbfddhu33nor69evZ8mSJdxyyy1s3rw5pfT7P/3TP/Gb3/yG+++/n9LSUv7lX/6Ftra2lNLv5557Lk1NTdxzzz2AU/p98eLFGZV+lz5b84/Wmu4wg6YBOh97JhisfC5YWGKwsNigtkRRW2yMub4q3T5bMmVATEQoqnnoxSi7Dtop24v9istP8bCwWJ5TQojcMdqJNpAzJ9pxayAkhWMQSvmYGqCG7tP/9XSclLtNBgJYysch4WxwSBuyz+CPpjHykp1sysVzolnR1Hjz5s2ceeaZw7Z/7nOf4/777082Nb7nnntSmhovW7YsuW84HOarX/0qDz/8cEpT48HFLNrb24c1Nb7zzjulqbFI0tqZ9tfYoVOCVW9k/O8did+dGLEqMahNjFqV5mVeuGKsN5e6EsUlOfDmImYvy9Y8/mqM59+xUra7Tbh0hYdlsg5QCJEDpuNE29aaSGz4qNJo4ag/QA3eFrfH/zlzkaGGhDA3eEwnpA0OZh4X+JJhbvD+Co/pfPS6nNG3weFNa53RbJ/pmkY5K8LWbCJha+7QWtMZ1DR26kRFQCdY9U0iWPVPAewPV6V52ZvSoLVmX4fm9aaBaRPLakzqSubGtAkx87a+E+exvw0UzgBQwLnLXKxaKoUzhBAzJ5MT7ZoixaUr3ITjyglCcU0oOn5wCsc0kfj0jCqJ8SlICWSgae1N//uvPdPLotKpvxA96/tsCdFvMnO0tXZKqzd26OT6qsZOO6U4QCYCHgaFKmc6YElgakOPUopFpWpaXjjE/HTKEU7hjIdeHFiArYHfvR7nQLfmE8e5cUnhDCHEDNjbrtNer9TUpfnOUxN8g58hXpfTosPnBv8oH4NRzeZd1vh3lrBqqUm+VxGJk/jnhMlo4mMk7oziReLOGrFcC5oaksc+kSN7vcnKqXMmCVs5bq4vBh1PJoshtda09zkjVoMLWEw0WOV5GBSqnBGr4ikOVkLMlKWVTuGMH22Ncqh34O9t+16Ltj7N507ykC+FM4QQ0+yN5vRDxnQzFfg8o4Wk1G0+t8I/5KPPTVrLC7TW7G61055G95Fl7ozOVbTWxKzUYDYQxBJfDwpn4aG3JcPcwOfWDE6pDEVzKTrKNMK0zcQ0wtmwGHQqpTNH22PCB2pNOoPOyNV4ZVFHk+8dPmJV5JdgJeafYFTz4LYou1tT3ylLAk5z5OqiufuaI4TIHeGY5rX9Fr9/IzbhwlRjUThri1LCjwv8nhE+JvdLDU6uaSgM0S8XC0SMJW47o2cDo2kjhbPUr1P3H/gYjJIyzX08Zx7l4iPL3FP34BJkzVaWTXfYmm1/VBNh2RrLdhaUxm2wLJ38PGZpfvbnGK092X96FvhSg9XCYoMi//S9YAqR6yxb8+tXYmxrSL2i7HXBpSd6OLZaCmcIIbLP1prdB22277V4bb9FbAKDWtVFiqUVJn6PU4zB5wG/KxGSPAq/y/nodaU3qpRL5mvRrD1tNnduTn9hvazZEuPKdvM6rTW2ToQaKxFsbD3oc+cKxLDbE1+n3G6DZaV+PXQfK3k/emB/7ZREtQZ9z3Sk/EKfU7xiYfFAAYsi/+x6cRViupmG4uPL3VQVGjz2t1jybzUSh/u3Rjnv/S5OXyKFM4QQ2XGwx2b7Hovtey26QpM7O/jEcZ6cWq+TTVWFBted6Z13RbMWlSpqS9Ss7T0qYSsHZbIYdF+H5rtPhXEZKhmU4ongYw0KU/Nh+LLIT6KH1UCwkuasQkyMUopTj0wUzngpSnhQ4YzfvBbnQI/m48vduGZpc0whxMwKRjWv7LPYvjfO3vaxz1JMI701QLl4op1t87FollLO0pl0ZnxdcoIn50KnhK0clOli0APdMD/i1OiOX2Ty6RWemT4MIeaco6pMrlnlZf3WKG19A68zL79n0dar+exJHvK8ufXGJoTITZat2dli8+e9cd5stscMUB4T3l9rcsIik4AX7t4y9oyfXD3RFtlRVWhw1SrvrJxGKWErB+VaFZWJMJSzcNRlOh9NQyU+9m9zvnYZYA762kxs29dhsy/N0T2AQpkaKMSUqSw0uPZMLz/eFuXdQwNnR+8esvl/T0f4x1M9VObgG5wQIjfs77TZvifOX/dZ9I6x9EYBRywwOH6xyfsXmokeS47ZeqItsme2TqOUsJWD/J7Mniz9zd/6g4rLUINCzShfm+BSzrb+IDTS/qaRGoxStiWD1KB9ErdPdtFpposhl9XIgn0hplKeV3HFhzxs+GuMl94bGH1vD2rufCbCP6z0cHSV/B0KIRw9Yc1f9sbZvteiuWvsi6fl+YoTFpsct8ikJDByYJqtJ9oiu2bjNEoJWznofdUmz+yMp73/NdNUdWU6zfbFkELMRS5D8YnjnMIZj786UDgjHIcfPR/lox9wc9qRppz0CDFPxSzNm83OKNbOA/aY5br9bvhgrcnxi00WlxppvW7MxhNtISRs5SAJGrN/MaQQc5VSig8tcQpn/OSlKJHEdSENbHw1xoEem4v+zo0phTOEmBe01uxpd6oJ/q3RGvM921BwVKUzTfDYahO3Ka8TYu6TPltpkj5bM2O+9pQQYjZo6bZZ/3yU9mDq3+cRCwwuWymFM4SYyzqCNn/Za7F9j0Vr79inktVFiuMXmSxf5JIqwWLOkKbGWTbdYQskaPTTWsscbSFyVG9E8+MXojS0pZYVK89TfP4UDxXz4DVKiPkiEte8tt8JWO+02mPWQc7zwnF1JscvdrGwWF4HxNwjYSvLZiJsgQQNIUTui1uaX/41xp/3pLat8Lnhsv+fvfeOsySr6/7fp9LNHacn5xx2Ns7uwuIuSUUERAzwmH8isgKiCEhSfFQQBBQeUTIoYkJ9fBRRlCAsaQmbZ3byTE+enZnOfXOl8/uj6sa+3X27+3b37e7zfr1q6tSpU3Xr9tx763zqm+622L1GJc5QKJYqvpT0D/g8fNHjyGUPe4rqNLoG+9dpHNpssGetptyJFcsaJbZazGKJLYVCoVgKSCn5+imXLzzp1jzt1gT82C0mz9ihQoQViqXEQNrnkYsej170GMlNPVXc1C04tMXg1k068RlmVFYolirNagN191MoFArFnBFC8Kw9JqtTGn//UCVxhi/h3x53uD7u8+JbVOIMhaKdyduSxy8HboIXhqeoOAx0xoI4rDs268pdWKGYAiW2FAqFQtEy9q/XefWzIvzVgzajVU/Dv9PvMZiR/PzdlnryrVC0EZ4vOXU9sGIdverhTqGxTB0ObggE1s7V2pxraioUKwHlRtgkyo1QoVAomiddkPz1d+wJT8f7kkHijL6UehKuUCwmT435PHzB47FLLunC1GO3r9I4tEXn4AadqKkElkIBKmar5SixpVAoFDPD8ST/91GHRy/WRtTHTPjFp1nsXK0SZygUC0mmKHnsoscjF12ujE49/etNCO7YElixehLq4YhCUY+K2VIoFArFomLqgv91yGRNSvBfR91yf96BT3zL5sdvNXn6dnUbUijmE9eTHLvm88gFlxPXfPwpNFbUgJs36hzaorO1V1NZjxWKFqDucgqFQqGYN4QQPGevSV9K4x8esnFCI5cv4f895nBj3OeFN6vEGQpFM0gpuTgsOfpUpRzMgXU6m3tqy8GUysY8fMHlicseOXvycwpg95rATfDAeh1TV99FhaKVKLGlUCgUinnn4AadnkSQOGMsX3m0/q2zHjfCxBkxFQuiUEzKtXGff3zY5vJIrWnqayddNnYLXnbIImoIHr3k8sgFjxvpqd0E13QIDm3WuW2zQWdMffcUivlCxWw1iYrZUigUirkznpd8+jtFLtVNGFengsQZq5IqNkTRmGatOsuRa+M+H36gSN6ZfIwmmNJFECBuwW2bdA5tMdjQtfz/bgrFfKISZLQYJbYUCoWiNTie5J8ednj8cm3ijLgVJM7Y0acSZyhqmcyqA5StOmuXaa0nKSUf/Fqx4XtvBl3A3nUahzYb7F2nYSiXXYWiJSix1WKU2FIoFIrWIaXkKydcvnTMrenXBPzkbSZ3bVNe7oqAZqw6MRNe/azIvAkuKSW+BM+vLK4f1KjyfHDL+2TVvtq+2n6JJyeOa7SdKUguzkJobewS3LHF4LZNOomIElgKRatR2QgVCoVC0bYIIfihfSZrUhqffbg2ccY/P+pwPS15wUFDFU1d4Ugp+exD9pRCC4IMl5/8VpG7t+r4UoTCJhBIUwuaYFzNtqwVSKVlqTyZ3twt+OllbOlTKJYaSmwpFAqFYtG4eaNOdyLCpx8sMl5VWPUbp11upH1+7i5LFVENWaoxS1JKHA9yNuQdSd6W5BzI25J8eV1p56r6ckXwmlQ5Y3n40nFv+oHLnPVdmhJaCkUbocSWQqFQKBaVTd0av/GcKJ9+sMjlqkKrJ675/MUDRV5+j0V3XCxJodEqmslEN58TbCklRbdeDFXEU96BXL14siHnSAp284JJMXdi1vL/PigUSwkVs9UkKmZLoVAo5hfblfzjwzaHr/g1/TEDkjHBQINU1ss9OQK0LmbJl5LCBKEUrGuFUiCcCtWCyZk+091SRAC6BoYWrINFlNtGdZ+o225wnKGBVuoXU4/Tqxaj9Jpi4pgroz4f++YUhbLqeO2zI2zuWb7fB4WiXVAxWwqFQqFYUliG4Ofutlh93OUrxyuJM/Iu5CepGXR5RPLhB4rzmhxhMZEyEKDNxizdulEPBJUjq9z2gnXBWRpxRwKIWRAzBbYnSRemPaTMLRs17tlu1AimitiZKKKWQkzgjj6Njd2iqWyEm7oFm7rb/z0pFCsJJbYUCoVC0TZoQvC8/SZrUoLPPuQ05X6Wd+CfHrZ57bMjM3IprM4w584hgcLkx05zLlmb0W5CtjofbC/YboaxPHz9dHvELGkiEExxU5SFU8wSxMxSu7Qv7LME8XAdMSj/P14YClxJm+W+Xeays+oIEVhvm7FuvvSQtSLcahWKpYQSWwpFmyOl5Niow7evF0g7PilT4xlrouzvMtVNVbFsuXWTge0GmQmb4dKI5C8eKGLpYkYCSTE5hlaxMMWqRFO8XjyFQilaJZgsnZb8Pm3uEcqqA6zt0Hj1syKT1hrb1C146TJ3p1UolipKbCkUbcy5tMMfHx7l5FjthPPv+zPs6TR5y81dbEuZi3R1CsX8MpidmdPbxWHJ0nCUWzhMnSpBVG1lqhVR5X2WKAsqU1984aKsOhXWdmj8xrMjXBqRPHm1kijmpvU6m7pXRqIYhWIposSWQtGmnEs7vPY7g2TcxpPHk2PB/j9/+ioluBTLkry9/IWTJhokYqjazhRnFrN0+2aN5+4xy1Ynow0E01xRVp0KQgg294hl5yqpUCxnlNhStD0r0Y1OSskfHx6dVGiVyLiS9xwe5SP3rFq2fwvFyvwOwOxTWJcyzE2XHGEmGeYaZo6rPp+oP3/tuRpdg9ZEgoaZxiw9Y4fJ6mUoOpRVR6FQLFWU2GpzVuokq8RSd6NzfUnG9ck6kpwbtl0/aDuyqh2ss65PxpUMFz2u5poLdD8x5vCnT46xr8tkVVSnL6KzKqqTMtUEZDmw1L8Dc+HAOp2vnXSnHxjya/dabF2loYnWxAu1AypmqYKy6igUiqWIqrPVJItRZ2uySRaw7CdZML0bHUDSEPPiRielJO9Jsq4k6/jB2q1aO1Xbdftzrl8WUvYiBuBHNMGqqBYIsKgetEMh1hcuPRENQ1u+k7OlzmJ+B9oBKSUf/FqxaaEx02yES4VW1dlSKBQKRetoVhsosdUkCy221CRL8msPDjYUmvXs7TRr3OhK1qScK2tFUb1ImmI750pWQqIyAXRHAhFWFmRlcabTFwq0hKkmcAvNXL4DywklNAKujfsqZkmhUCjaCCW2WsxCiq2ZTLK2JAzecFMHhJMsCUhZycdVastwo9SW4WBZdUz5eGTtdvX56rYJx1bnAKt9zapzTvWa5XMG457Kufzf87km/loBq6Majg85V1L0l/ZHWgCGAKeN3kZMF2XxVRJigZWsst0d0dDnabK/3N1pfSkpeIGrac6V5D2fYyM2f3ZsvOlzfPieVezvsubxKhcPJTQCpJQqZkmhUCjaBCW2WsxCiq2jIzav+c7gvL6GYn4wNUgaGglDEDc0kqYgYWjEDUHSDNYJQyMZ7k+YgqRR1W8Korrg+Kgzo8/Aa/Z1EDcEgwWfgYLHYMEL1kWfsQXyZdQE9Ea0mrixaktZyXIW1Wc2KW5Hd1pZEkeeJB+6jlYLpZwb9nvBvny4L1e1rzQu5wbnmusP8Qs2xnjDwa5pEy4sVZTQUCgUCkU70aw2UAky2pBvX59Bnl9FSxBQFjwJQ5AwS+367XBdtR2vEk9Wi9Is7+8y2dNpNu1C9lNbE5NOOG1PMlQMxVeVGBssegwUfAYLHkNFD2eOmsyXMFDwGSj4HGfy604aojaOrNSucmXstDQ0IVqW/l7KwOJZFkR1wifnVQmiUDjlvdpxwVi/LLDa7SnVf17O883rBW7qtjjYbXGwJ8LuDrNln8nFRiVHUCgUCsVSRFm2mmQhLVt/emSUz19q3oVOAVENeqN62ToUn0QYNdw2BDFDtJ1FYCHj9nwpGbd9Boo+A/lAiA02EGfpBfJtNAT0RDTSTiB6pqPL0jjUa5H3CQRRlSUpHwqqlRCDV4+pwb5Oi4M9gQA70G2RUvF3CoVCoVDMGWXZWsLMdDK0v8vk9t4IEIRuCYIl2BaV7ap9E7ZDoVHZprItSucTVedlQrv2nKLBa9DgNUTdawTryzmXT5xMN/03eP/Tll+8yraUyZ8/fdWkLnR7O03e3CIXOk0IuiI6XRGdXR2Tn6/g+bUCLHRVrHZdHCr6zDVszpVwo9C8PBq1fb7y1NKxCEc0QTwU+XFDENe1qm2NmC7Iuj7/dTk/p9dxfDg8YnN4xAaC79a2lBFYvroDEbYmpm4DCoVCoVDMF+ou24Y8Y02Uv+/PND3+1/d3LjuhIaXkG9cKTbvR7etcfhkZIRBcH71nFcfHHL51rZIc4gfWRtnXufDJIaK6xsaExsbE5D8dnpSMlgRYMbCOlYRYyZVxsOiRm6ZgczthaRAPY+tiuiAWtuN6KI7KoqmyHQvb8XBfrEpQNZNIRErJ8VGb85np6631WIK9XRZPjjiMT+EPKoH+tEt/2uVzFwPr+eqoXhZeB7sttqaMeUt0olAoFArFSkOJrTZkpvE6y1FoCCF4y81dTbnRvfnmrmUdIC+EYH+XtWQEtS4EvVGd3qg+5bic61fEV1mIeQwUg+3zaYfiLH3/TI2yuKkXO/XCJ17dXyWo4lVWpsWqRSa1MSRxBJNbuyU+qWiOP7pjFwAXsy5HRmyODNscGbGnLY59o+DxP0/l+Z+nAitawhBVcV8WezstIssk7kuhUCgUioVGxWw1iaqztThMlYmulW50ivbj4yfGZ2ThffHmOL+yu4OYITCXYKFm15fkPY+855N3fZ4czfCeoxdBGgi/E8HEz7nERmrjIFw+evce9nclJowZKniB+AoF2JlxZ0bxa4YIsj4Glq8IN3VbdFoq7kuhWAyWexkMhWIpoVK/t5iFFlughEYJKWXbuNEpFo6ZlkBYyDpTri8peD45zyPv+jUiqb4v54b7qtulcWE773nYUwW6SQATISOABvhIUQSccrDjz21bw/27N0x77TnX59iow5HhIkdGbI6NOhSaSEJSzZZkbdzXupiuvosKxTzTjmUwFIqVjBJbLWYxxBYooaFYufi+z/O/fIWiN7U7IkBE9/ivH9qApk20uJSE0QTx00AQ5SYRSXnXCzMbNiGMFokf27iKNx7YPOPjXF9yZtypsX6NzLA2W29Eq4n72p4yF831UqFYjihvF4Wi/VDZCJcJSy1eR6FoFcfH8+TlCIKeaWOW8nKEV30vi6YJ8nUiqdiGwmg+SJnTi9JGGFqQXGNvl8VPbwse8FzJeTVxX5ey7pTnGCr6PHCtwAPXgoyQMV1woGT56rbY12USM5TroWJurEQXOtcPav+98/GRKYUWQMaVvOfwKB+5Z9Wy/XsoFEsRJbYUCkVb8sWrQyBcpDYMTcQsHR+fWhC0E7qAmK6HCTh0YrpGLGyX+nKux/9cG2n6nPeu7mrJtQkh2Jgw2JgweP7GOAAjRY8nS5avEZtTYw5TeR7mPcnDg0UeHiwCoAnY3WGWrV83dVv0RGYmDlfiRFtRYTIXur/vz7SVC53jTyyaXiqGXl9EPe9ViqhXCqlXiqrnXJ8ZGpk5MebwviOjHOyJsDamszYWFItXlmbFcmEp3guUG2GTLJYboUKxUhgs2Dw6nOGx4TSPDae5mrcrO5uIWZovSsIoZmjE64WRrhEz9DC7YUU4lduT9JlCTHtTkFJy/3dPcmK8uQLnv7V3Iy/ZsroVb3laCp7P8VGnbP06OmrPOJX/xrheTrpxsNtiY2LyuC8Vq7KymS8XOikljk9N8fNclQCaKH6CffVCqbQv7/lMUXlh0dCAvqjO2rjOmlCArY0Z5fbqmL4kkwopVh7tdi9QMVstRokthaK1DBedUFgFAutSrjjnc1YLo5geiqMaYaQ1tCjF64RRdV8zwmi+OJfJ85rvnSLjTl9rC+BVuzfwM9vWzPNVTcSTkv5xlyMjxbIAG5xh3v4uSyu7Hd7cY7GzI4j7UrEqKxspJb/24GBTpVDWxnR+ckucvE+NRSkfiqRSu9ryNMPcMMsSAfRGNdbGjLI1rLSsiRmsjumq/INi0WnHe4ESWy1GiS2FYm6M2i6PD6d5NBRYF7KFlp7/z+/axc1dybZ1I5gt5zJ53n3kQkMLl6WJCck6fmn7Wl6+c92i/h2klFzL18Z9nc/MzM0zqgv2dRpczHoMNSHc9naayz5WRUrJr3xrgGt5DykhYQr+4LaetnafqUZKie1DxvHJuD4ZR5bXWdcP+svtYN+NvMu5Jgp7LwcElOv/VdcFvJH3uDJNvbz5pjeihZawUJDVWcmUGFPMJzN56LKQ9wIltlqMElsKxcxIOy6PD2dCcZWmP9O8uDKFYF9nnCv5IkPF6SfpezvifOxpe5bEhHM2BFlJc3zzxihpxyNl6ty7uou1UZPffvQsp9P5mvE/vWU1v75nQ1v9PcZsn6PluK8iJ0YdZuh5OC2/c0sX+7osLE0Q0QURPRCkWhv9HWZLO7jP+DKwCmVcn2yVUKpeZx2fjCtD4eSTLbXdQES1o5vdbNEExPWwOLqhlduxsF1dOD3WqIh62F8qpB7VG1vRZ1oG4zX7OrA0wbW8x/W8x7W8y7W8x/Bsq8Q3Qbel1YkwI7SMBUu8RQlylmK8TqtZzn8DX0qyriTt+MFi+6RdyclRm8+eyzZ9noUqBaPEVotRYkuhmJqM4/HESMUt8Ew6T7M/LrqAfZ0JbutJcXtPkgNdSaK61pQbXdLQ+dDdu9mWjLXmjSwx0o7Lmx45y9Gx2hvRCzf08oYDm9Hb9OZb9CQnxyqWryMjNtlWq68QU6MiwMJ1RZAFfZZOeV9pv1U1PlLarho38RzB2tRo6aSnVe4zrh9MZCazImWqhZIrQ+FUGZd15IwKYrcbuggsR7XiJxRKoeCJVbXL/fXbYdtq8f/zZLTqqX7Rk9wIxVcgwqoXl6GC3/Rv9kzptDTWhHFja6ssYiVBljCnF2Pt8MBhsVkKfwMpJUVfknZkKJZ8xu3gd2S8JKIcP9gftsedym9SK35jfnZ7klfunf+5uhJbLUaJLYWilpzrcXgkU467OjWea/pHUhewpyPOrT0pbu9JcVNXgrjRODvdVG50ezvivPXglhUrtErkXI+3PnaWx4YzNf0/uLabtx3cuiQykflScj7t1tT7ul5Ymu5jgpK4YxLBNlH0WRoNx1gafPJUuik3st6Ixg+sjpD1qBFOJUGVXwEBSj+wJsqPbY7XWZoCgWUtYVe3hYhXcfySGKsTZLnAQjZQ8OZNbKdMUZO0o2IlCwTZYMFru3idhWahY5ZcP/j9SIciKROKomqRVBFLsmr/4luwX7QpzhsOds376yix1WKU2FKsdAqez5EqcXViPNt0cLkG7OqIc1tPktt6UtzcnSQxibhqxGRudPs640vebaJVFD2f33uin+8MjNf0P6Ovk9+/ZRsRfenVufrAk6N87mJz2RgV7YmpQdLQSJoiXGskDEHSDPoShlbenyiNMyt958YdXvPdoaZfb6HchxaDqawaeztN3jzPVg3XlwwUqqxhObfKVdHjRsFjvsoaBjlop2dzQucNN3Wiaxq6CB7saUKEbRFuh20NdEDX6vrDY9qJ2Vo3Zb1b3gShJGssS9ViaqYZZtsJZdlaoiixpVhpFD2fJ0ez5VTsx8dyuDP4udiZinFbT4rbepLc0p0kZaqyfvON4/u888h5vnZttKb/UG+KP7p1O7EZCNx2YKaxKvetjZA0dIpe4MZi+5KiJ7HD7XK/Jyl6rJiC13MhqosaoZQsCSVDkKjerhZRhkYiPGauiRPaNTB+sQgePDl861olXucH1kbZ17n48TquLxkq1lrDrlXFjN3Iey2P05wvBCXxFQiwaiGmV4k1jYpYq4yb2K5Za6ARir06MTjxmKA9WPD490vNP3jqi2gUfci4/rwJ4FZhapAytapF0BH+pnSE2+O2z6fPZKY/WYiK2VqiKLGlWO7Yvs+x0Ww55urYWHZCprup2JaMcntPitt6UtzSnaTTUuJqMfCk5H1HL/KFK7XWgINdCd5z+06S5tIRXPM90S5lxyuJsmoxZleJs6LHJIKt0ld7DhqcI9heSPcaAROtSHWCqV4cVY9LGKItXFDbMeWzYuZ4UjJU8Lkeiq/Scj20kl0veIvufqaYHQJImqIsmDrC35yOGhEVCKfKfo0OK3CXbqbuZDs+dFFiq8UosaVYbji+z4mxXDkV+5OjmRmJq82JSFlc3dqdpDuiJjntgi8lf37iMv9ycaCmf3dHjD+5YxddS0gIL7eJticrljbbo6FgqxZpX7ua55Ehe/oTh/zoxhi/tCtF0giSQLSbO9RsWWwXOsX840vJSNGvsYZdy3l8d6DAQEGpsIUgqosGlqWKSKqIKRGKpWA7sQC/Ne14L1Biq8UosaVY6ri+5NR4rpyK/choloLX/A1sYzxSjrm6tSfFKiWu2hopJZ88c5W/6b9e0781EeX9h3ayKrp04lpW8kR7pq6UyzlmqZ1d6BTzx8dPjPP3/c27kB3oMrmlJ4Ing6LVvqRhu7IGzw+y4Hl+o3GBEJxwjJThuOrjK2MWc3Id1aAvZtBRJ5LKliUrsGgHYqkyxmwDS/ZUtNu9QImtFqPElmKxkFJybCzHt6qSQ/zA6i72T5McwpOSM+P5srg6PJIhNwNxtS5mlVOx39qTYvUSmpwrKvxt/zU+fvpqTd/6mMUH7tzFulhkka5q5qzUiXa7us8oFAvFUn3g4FeLsSqxVtPnNycGz6UdPnR8fPoXDWmXv8F80E73AiW2WowSW4rFYCZpz30pOZvO89hwmkeHMxweyUxZn6qe1VEzFFdBUou1S2girpiaf7lwgz87cbmmry9q8oFDu9iciC7SVSmapR3dZxSKhUI9cFB/g3ZFia0Wo8SWYqFppqBvXNf4ic19XMgWeGIkw7jTvLhaFTHLboG39aRYH7PUj/My5gtXhnjvkxdq0id3WwbvP7STHan4ol2XojnazX1GoVhI1AMH9TdoR5TYajFKbCkWEikl93/3ZEOL1mzptoxyKvbbe1JsjEeUuFphfO3aCH94+FxNfbSkofMnd+xkf1di8S5M0RTt5D6jUCw06oGD+hu0G0pstRglthQLheP7fP36KH94+PycztNp6twaWq1u70myJRFVEzIF3xkY4+2P99dknozpGn98+w5u60kt4pUpFArF1KgHDupv0E4osdViFktszTY5gqL9GbVdLmYLNcuFbJFr+WKN5aFZUobOrVVugduS0WWT9lnRWh4dSvPWx86Sr0qYYmmCd966naf1dS7ilSkUCoVCsTRQYqvFLIbYmklyBEV74vqSp/JFLmQLXMoG64vZApeyBcZmEF81Hc9c08Xv37INXYkrRZMcHc3y24+cqYkJNITg927eyrPWdi/ilSkUCoVC0f40qw2WTmXLFcZ0yRFOjOd4zfdO8aG7dyvB1QakHZeL2WKdparIlVwRdwGeZ2yMR5TQUsyIA10J/uzOXbzhkTOM2i4ArpT8/hPneLPn8/wNvYt8hQqFQqFQLH2U2GpDpJS8+8iFadN2Z1yPdx+5wMeetke5FC4AnpRcz9s1Ln+XwvZwOFmdKwlDY3MiSodp8L3B5mtq3Lu6qyWvr1hZ7OqI8+d37ub1D59moBgEXPvAu5+8QMHzecnmvsW9QIVCoVAoljhKbLUhx8ZyTWehOzGe440Pn2FzMkqnadBlGXRaxoS20eZVwduJnOuVLVPVlqrLuWJNUoHZIoA1MYvN8SibExG2JKNsTkTZlIjSaxkIIWaUjXBvR5x9nSp1t2J2bElG+fO7dvNbD5/mqbxd7v/A8UvkXI+f2752Ea9OoVAoFIqljRJbbci3bozOaPxDw2keGk5POSZp6HRaoQAza9eldvX+hKG1jbVsPpKE+FIyUHCqrFRBTNXFbKH8hH+uRHWNTfEIWxKBmNqcjLI5HmFjIkpU16Y8VgjBWw9umbbOVtLQeevBLW3zf6VYmqyPR/iLu3bz+ofPcCFbKPd/7PRVcp7PK3auU58xhUKhUChmgUqQ0SQLmSDjT45e5N8vD87ra0yHIURoFdPpskw6LX1SkdZlGXRYBpY2tYCYDXNNElLwfC6HYupi6PZ3IVvgUq5IwfMnPW4m9EXN0EoVWKo2h+KqL2rOORugSpKiWEhGbYc3PHyG0+l8Tf9Pbe7jtXs3KsGlUCgUCkWIykbYYhZSbH3s1BX+7tz1eX2N+SBhaBMsZJ2WQVddX0moJQx9SjEyXZIQCCw7f3HXLjosk4uZiVaqawV70mNngqUJNlZZqTYlomxJRNmUiBA39Ja8xmQENTVyfLPKsnfv6i72qfT/inkg7bi86dGzHB3N1vS/YEMvbzywWSViUSgUCoUCJbZazkKKraOjWV71vZNNj3/XrdtZHbMYtV3GbJcxxw3aTrA9WtU37rizquE0H+gCOuqsZaUYs05T5/9eHKiJIZkMjSCovxX0WEbZMlVtqVoTs9QkU7FiyLkeb3usn0fr3JOfs7ab3z24VcWAKhQKhWLFo1K/L2H2d8bZ2xFvOjnCM1Z3Nm3h8KUk63qM1omwMdtl1KkTa+GYXIvc7erxJIzYLiNzzOQ306szhGBDPBIkp6izUqVM9ZVQKOKGzntu38H/fuIcDw6Mlfu/em2EgufzB7dsIzJN3KFCoVAoFApl2WqahS5q3KwL3ULU2bJ9n/E6cVaxnHmMOk6wth3GHI8x212Q2lLT0WnqDa1U62IR9WReoWgC15e888h5vnptpKb/jp4Uf3Tb9nl3oVUoFAqFol1RboQtZqHFFizd5AhSSrKu39CNcbTOzbFkQZuupth0rIlaPHttF5vLVqooXZayUikUc8WTkvcdvcgXrgzV9B/oSvDe23coa7BCoVAoFpTXfO8kA4Ugc3Rf1ORDd+9ZlOtQboTLgG3JGB972p4llxxBCEHS1EmaOhvikaaOcX1ZFmdjjss/X7jBt26MTX9gyA+u6+b+3Rtme8kKhWISdCF404HNxHWN/3txoNx/dDTL6x46zZ8e2kmXZS7iFSoUCoViJTFQcFqWAG0hUGKrzRFCsL8rwf6uxGJfyrxiaILeiElvJJi0WZo2I7F17+queboyhUKhCcFr924kbuh8pv9auf90Os9rv3+a9x/aSV/UWsQrVCgUCsVKQEqJ7Vei9dOOy9HR7Jxqr843KsJZ0ZaUkoQ0w96OOPs6mxurUChmhxCCV+xaz/271tf0X8gWeO33T3E1V1ykK1MoFArFSuBcJs/93z3JcFVitazn86rvneT+757kXCY/xdGLhxJbirZECMFbD24hOU0AftLQeevBLW37NEOhWG783Pa1/Na+TTV9V/M2r/3+KS5kCot0VQqFQqFYzpQSx02WqfvEeI7XfO9UWwouJbYUbcu2ZIwP3b17UgvX3o74gmRjVCgUtbxkcx9vvWlLzQ1koOjw2odOcaaJkhUKhUKhUDSLlJJ3H7kwbTK1jOvx7iMXaLfcfypmS9HWLNUkIQrFcuf5G3qJ6Rp/ePh8udTDqO3yGw+d5n137OTAMo8zVSgUCsXCcGws11TtWQgsXMfHcm2V60CJLUXbs1KShCgUS41nre0momu8/fF+bD8QXBnX4/UPn+bdt+3g9t7UIl/h8kJKybGxcb45MEDGcUiaJvf29bG/s2NFPHha6e9foVhJeFJyLp3niZEM/1qVCbcZvnljtK3mjKrOVpMsRp0tRYC6wSoU7c1jw2ne8uhZ8l4lQ5SlCd5x63ae3te5iFe2fDiXyfCuo8c4MT4+Yd/ejg7edmA/25LJRbiyhWGlv3+FYrnj+D4nx3M8MZzh8GiGIyPZWddg/bGNq3jjgc0tvsKJqKLGLUaJrcVB3WAViqXBsdEsb3zkTM3NURfwezdv49lruxfxypY+5zIZXv3Qw2Rcd9IxScPgw3ceWpa/hyv9/SsUy5G863FsLMsTIxmeGMlwbDRL0W+NJPm5bWsWpPaqElstZrHE1kq26qgbrEKxtDibzvH6h88wUpWWVwPefNMWnr+hd/EubAkjpeSV33+o4QOnenYkk7z7lpvL94ZGN/eGN/wG04Bmj200g5CNX2VW55NS8r+PHOFcNjvt+fZ1dPCxu+5c9vdGhWIpknZcjoxkeWIkzeGRLCfGs3jzpEA+ctduDnTP/7xQia0WsxhiayVadXwpcXyfoufxm488yplMZtpj1A1WoWgfLmYL/NbDpxkoODX9v7l3Iz+5ZfUiXVV74/o+o47DiG0zXCwyZNsMF22G7SLn0hkeHhlZ7EtcMvzxLbdwT98qdT9QKBaZwaLD4ZEMh0cyPDGcoT+Tb/IxTECXZXBzV5JbepLEdJ/3HL2IaCLVhMTlI3fv5qaurllfe7MosdViFlpsLaRVxwsFjuP7FMO14/vY4TJxn8T2PWxfNhxbbksf2wv7ZGVfsJY15y4d483y4/jzW7dye083a6Mx1sSiWJqqaqBQLBZP5Yv81kOnuZq3a/pfuWs9P7997SJd1cIipWTccRi2bYaKNiO2zZBdLIuo4bKgshm17RlNQhRTkzQMtieTbEsmgnUiyfZkgk7LWuxLUyiWJVJKnsrbZZfAwyMZLs+w0H2nqbMubtBlaUR0j4LnMGTbDBWD30ukDjKFmKJqlcQHkebntm3i13btnOvbmhYltlrMQoqtmbiN9FoWz1mzBlfKCeJoguiRflkgVQuj2QqcdqbHslgXi7EmGmVtLMraaJS10RhrY1HWRKPEDZWIU6GYTwYLNq9/+Azns7WFjn9h+xpesXP9jC0P7eBSLaUk73kMVQmmoWIxEFKhcBoOt4dtu5wSX9Ee9FhWrQhLJtmWSKj7gUIxQ3wpuZAtBMksQoE1UHSmP7AKTXh40gHhAi4If9pjAsGVaGjhkrggsiA8XrxhA2/cv29G1zMblNhqMQspto6OjvFrDz00r6+x0ukwzUCAheKrJMSCvhgpw1BuKArFHBm1Xd74yGlOjedr+n9ycx+v3bsRrcnv2Hy7VBc9LxBKoVgqWZ2G7FA4Fe3Qta9I0W9iQrCIbEsk2DPNParRn73R/4Ro2Nvs+SZ2Nn6NqTuPjY1xOh26k0sAHaQVDpIgbMCb5ETNsS4aDYRXMrCAbU8m2ZxIKA8JRVuyGA+eXF9yOp3j4aFxHh1Kc2I8R9Zt/rcwiOP0CESVE65nKT8kIDsR6OFmYM2q/h34ua1blWVrKbKQYuujp8/wd+fPz+trLBamEJiahhUuZt261L6Sy3E5n5/+hPNETNdZF4uyJhpjbTTKmliUdaGL4tpolB7LUmJMoWiCjOPx5kfPcGS0NsHBj27o5bcPbEaf5ns0W5dq1/cZtZ0q173QGhW2h6osUFOdez6J6To9lkVPxKLHitAbseixLLqr2oPFIm974nDT5/zoXXdyoHP5pNsvP3xs8on2TZ2dDBaLXCsUGpyteXQh2BiPhS6IFWvY+lgMQ4kwxSIxHw+epJRkXJfBYpGh8CHT9XyB0+k8FzM2AwWPrAtyBk80AnFVsliV1jOXG5am0RuJENM0+quT5PgpKLsT+qCla45bqN/BZrWBsp23IRlnZqbY6QgEjMAUGpauYYmJImcy0WNqGpHS8Q321Yum8r7Sa1W1TSGaFigzte79/Nat6EJwrZDnWr7AtUKBgUKB2T6Dznse/Zks/ZnGGbAsTQstYhOF2NpojFXRyLSTyGZpB/cphWK2JE2dP7ljJ7/zeD8PD1VuiF+4MkTe8/jdg1sxJ5m8Sil519Fj04qhjOvy6w8/wq5kkhEncOkbd5xFiYMyhaAnEglElGWV272hoOqOWPRaFt2W1ZT7mpSSvR0dTbmV7+voYP8yK02yv7ODbYkOzqW1SWM1BAZSptie9PnwnYcQQpB1Xc5nsvRnMpzLZujPZDmXyQSxH03gScmFbI4L2RwP3LhR7rc0jS2JeGAFS1SsYWuiUfV7rJhXpnvwdGJ8nFc/9HD5wZMvJWOOw1CViAoEVbgdJuMZKhaxPR8wQRoE0sCosk5P/7kui6uS1Qp3ysNiuk5vJEKvZQXrSLBeFYnQGz5sWhWJkAy9jCaE19SJq2ra8XdQia02JGmaMxr//HXr+JmtWxoKoJkInHZif2fHjCYYr9y5Y8L7dH2fwWKRp/IFrhfyXCsUykLsej7P9UIBZ5aGXdv3uZTLcSmXa7hfF4LVkUgowCouimvC9upoc0k8JnuK9Xfnzy/bjJSNUIJzaRMzdN592w5+/4lzfHtgrNz/tWujFLx+/vCW7UT0yvfB9n2u5HJ8e2Cgqd8AgHHH4ZF5ytqnAV3Vgqmq3VMWT8EEIdliF2QhBG87sL8p695bD+xflt8HIRMIpg62F2ggY+XthGFwoKuTA121T7dHbJvzmYr46s9mOJfJNm3dtH2f0+lMxbUxJK7roStibVKObuUFoWgBNQ+epnCnzbgur/ze90kZBiOOM3ncqBSAAdIEkoDetNswhK57ZauVQ8mFL2kYoXhKhaIpwqpQSFWLqJnGSS7130HlRtgk7RyztdzcRkrMd0ZGX0qGi3ZgDSsUuJ4v8FQhz/WSICsUyHuzq14+HQLojURCARbEidXEkMViXMvnVZ0xVmYJhOWK60vedeQ8X7lWK4o2xU3uWGXyVD7PxVyOa/n8rK3SM6HTNOkO3fh6rcACVbI8VSxSETpMs2WW6tky1fdgX0cHb13i3wNfSsYdl8GCw2AxWIaKDqfGc3zzxtj0JwjZnoyyOmqRNHWSRriYOomwnTINkka4HY6xNMFAsRiIr5I1LJPhfDY75xi9TtNsmJQjNcOHqiV83+c/rwzwn1cHyDoeCVPnBev7eMGGPrQV4N4YPHjL8a0bo6Qdj5Sp8wOru9jfGW+7CfZMcH2fsTB7aX3G0hHb5mIuy8nxdNPutBN3agTiygDMcrxTswh84oakN6qzMW6yJRGlLxoJhVWEVeFvZUSf2XlnSrv9DqqYrRbTrtkIl3uNqcX8YsnQBH+9bBGruCheL+R5Kl+Y11gPXYimMkVuScR56/79GJqGITR0ITA0gSFE2A77wu3SshQ+M6qw9dIn67pczGa5lMtxMZvjYjbLo0NFxp3am3IwUUjPPmg6JK7rdW58oZCKBK571e3J3BfbFSklx8bH+eaNKgvv6j72d7SvhVdKSdrxagTUYNEJRZVd3h4qOvNW4HQ6TCHKwqskwlKGTtzQAUnRd8m6DqO2zZBdYKCYx5eSwMQQirEZ/vlXRyITknJsSSSITjFZ/eaNId5x+DwFb+KLRXXJ22/eyr2rl2/x8HOZPO8+coET4xM9SvZ2xHnrwS1sS8YaHLk4eKXyDw3KPQzbRUbCxDsjzZZ/aDb1OaXf0Ypb4EzFVW/EYHdHjNu6Uzy9r5PNifZxk22n30EltlrMcq6z1e600xernqzrNhRipfZIk/EBi0FFjAl0oWFUC7IqgWYIga4JjHCMXt6uHFe/HZyzan9VnyG0qnalT6/brwEfOHGSi5O4alaz3B86SCk5Oj7MNweukHZtUobFvX0bONDR0xbv2fV9rubzXMwGrrUXc1kuhe2GMTISkHEE0bruuQmul23ZzK/v3j2rY5cC7fRUX0pJ1vVrBFPJKlXeLjoMFx1sf/lPMwQSiR/GrjRYhN+4v7w/0GsbYrFQgFWsYZvicb4zOMLvPHaeqVWd5I9uW56C61wmz2u+d4qMO7m3SdLQ+dDdu+dVcPlSki5ZoBpYoYZtmxE7iIkac5zWldaRgOxosqivnJFLIAQW4Vu6U9zcneCW7iSroqomXTMosdViFlpsQfuZSxUzp+h5gWWsUOBavjpuLHBXHCwWF8RdaiXwrNV97Eyl6K5yBytZN+bbtWE+6c+M8UfHvs+J9MR4pL2pbn5n/11sT86/G7GUkiHb5lKVlSoQVjmeyudnPqmQgIwhqJ0YCTy2d0h2pOJENI1/v3K16VMuV5dqWNin+jnXm1JADYVLwVO/Xq1Clq1kE4WYQAIRmMKiUcLSJJ962j50TUMTAhGKOIFAE0HsiwjPJIQI11X7qRrToH8xkFJy/3dPNvzs17O3I87HnrZnRtdaysY3bNsMFQpB0gjbZqhQEVIjRYdRx2bEdkKrZjOFDJotdtBEn9QnPJyaLbqAPR1xbu5Ockt3koNdSToslcJhNiix1WIWQ2xBe1t1FHPH9X1uFItlIXY9FGLfHxxisI2tYkuNUortUnxOt1VJsd1tmeWkBz0Ri7iut813qz8zxqsf+SppxwF0RFVAtAwDolOmyYfveE7LBFfOdYPkLw2sVLkWxTAaQrAhHmdTPE7WMXh8uDb5wbqYxQcO7WJdzFIu1bTuqX7B86tElN1QQA0WHHILKKJ0AT0Rk1URk9669aqIyZjj8s4jF5o+30fu2s22VIy045FxPbKuR8YJEgeknXA77Mu6Humqdql/tomTVgKB6KoTcFSEmyZEWaQJUSvqEKBV95faVaIOgjGBMAz6C67HhdzUCVKqWRezsDQNV/o4vsT1JZ6UuDJY+1LiyWB+Vfqkl/7HZ2oRWgpYmuBAZ4JbepLc3J1kf2cidJFVzBUltlrMYoktxcpkprXW9nV0cFNXJ56UeH7lpuJKP1hX3Wxc6ePV3Hz8hvtL5wiOD86zEp5jW5pWFmbdVQKtLNYsi65w3WGa8za5l1Lyioe+wonx8TAbW+OAaCmy7Ovs5BOHntv0tbi+z7VCIbROBWLqYphdc7DY/KRmOvoiETbF42xKxNkcT7ApHmdzIs6aaLSmVtG/XRzg/ccv1Ry7KmLy/kM7kXgr2qV6Jk/1tyQivHzHOoZsd4KAGiw6U4q1VqMB3RGT3ogRCiirLKBWRSuCqtMypkw+Mt9WjUYUPb8svEqCLe24deLNqxlTLdjyyuKnWGRWR01+fFMft3Qn2dMZVwW65wkltlqMEluKhaRdM1L6VU8HSwLMDQWeJ/1QrE3cXxFzfpWAqzqmbr8rJd8bHOLw6Oi8v6e5oAtREWTV4qzKjbG03WlZNZNKKSVp12awWGDILjBYzDNUzIfbeS5k05zNZBBNBERLkebjdz6LA529Necfse0al79LucAF8EouP3lK4BkS13U2JwIhVRFWcTbG4zNK7/vFq0O8+8iFGkHfaRr86aGdmJq/4lyqbd9n1HZ5eCjNHz/ZvGVnIeiyjAkWqGoBtSpi0mWZGFprHkS0S7xOs7i+rLGUBcLMrRFkEy1vtaJNTcwUc+Hntq3h/t0bFvsylj1KbLUYJbYUC4nKSDlzwfm2A/vptqwwQNlmpBysXFmP2faiWufM0GVG4uNIF1/6SOFTidWoboNoOiDa5Rmrutnf2RdYqEJx1apsmboQrI/F2ByKqU1VVqqeFtYR+vr1Ef7gifM1QjBp6Lz3jh0c6EwsaZdq15eMOS6jtsOI7TJqu+X1xD6HrLvwn9QOU28goCoWqd6ISU/EWJQsjkstE91c8KUk7/ll98c/eOIM57PNf5cFHpbu48ngXD6SiTO96b4zc93f2teYWQ2oUrxbpafRKAFhQqcgkZOpiZpapZauEdE0onpQt1QPXSR1RNldUhMCPVyX3B/1+n1V46v3aVQdG+4r7685l+ByrsBHT80gfvXuPezvSjQ9XjE7mtUGKiJOoWhDlnoBv1Yw08LWP7Ju3bR/h+pUvCOlDFIlcVYn0EZsu2XWnxJOeQ6gAVYQ6zBZzUn8KS1a1QgMHhxM8+Bgek7X12NZbA7FVEVYxVkfi9W4/c0Xz1zTzbtv0/idx/vLGewyrscbHj7DH926nZhhIGQMpIWQepjWeHEI6kJ5DYVSqV29Pe4snAtfPUmjSkTVWaB6q5bqwtLtxrZkjI89bQ/Hx3J8syob472ru9i3xGss1aMJQSJMQ78Gi5/esob3HbvS9PG/fWAzL9y4pqbPlxLH97F9H8cPYpls38eRfl1/qS0rfbJ+v6wdK6fYV2qH8VPV/U3/ukodZPOeG5aeYWsyWi79UCo4HpR+mL8C5POJlJIHro027U67rzO+AFelaBZl2WoSZdlSLAYrPSPluUyGX/v+Q1MmZojrOh+9685Z/x18KRm1iwzagQvfYDHPkJ1nsJDnWiHPQLHIcLHImOPgIxAyCO0OBFOlvVQCq2O6zsZ4vCymSrFUmxJxEjNw+5tPHh9O8+ZHz9bEvgRpQSbSKqtGkJHMq7E4jYRCqSKeKttjttuWMYy39yR50cZVNckmYioYfknj+z4/8tXHGtbXqieqS/77Obe1fYFjGbqT14g/WSv4Svs+d+kyX79ebNrK/7PbunnV7l0L8C4WlqXmTrsSUJYthWIZsC2Z5ON33bmk3afmgsRDinEkkSkTREgm3nw86TNiF0PxVCjHQ5VE1VAxz6BdYMQuNJe2PPxTy0Z/clkSArUCjLI4qxZlGs254MweDVgfi7GxLjHFpnicVZFI239ubu1J8YFDu/jtR86QDicWk/0PnRjP8ZrvnZowwZChK1YjoTRS57pXWlptyZwpGtBpGXSFS7dl4kvJA9dHmz7HK3dtUO5DywxN03j7zVubqrP19pu3tr3QgsB7o+TCNx1x3eDrNx5FNlPQV2S5b82eVl5q27AtGeNDd+9eMe60ywll2WoSZdlSKBaWcja+9Eg4026c+hwBq6woT+9dF4iqMNnEiF1kBo4qcyZIlhFllRWlNxJjVSTKKitGbyTKqkiMXitYd5kRvDB5RTmmrFhxXSz1nc2kGXeaj9OQOEhRADxu6uzmbfvvZEtiaf9WnRnP8avfPYHXxH9jp6mzpyPOmOOVrVLtUEy3w9TLwilYl8SUSXfddsrUJ2TmW4xsfIr25Js3hnjH4fMNLVxRPRBay7GgcTmGeSwLU2RmRWTZ15lYljHM1UgpV4Q77VJAJchoMUpsKRQLy2PDN/j1xx5Y7MtAF6IslHqrhFSvFWNVuR2ly4qgi9Y9UZ5pghBfjIGoWPgsTeNXth3gf23esyDxVvPB0dEsr/reycW+jBoShlYWShXxVBFS1eKp0zRakpFPuQ8pSvi+zxeuDvAfVwbIOh4JU+eFG/r40fV9S8KiNVvOZTJBDLPjAjpUPXgjfPCWNJdvCQhFe6LEVotRYkuhmB886XM1n+VsZoz+zBhnM2OczY5xKTe3ZA/TYQiN3lAorYrEWFUSVGVLVCCkOs0I2iI8LZxJRsrtyQQJM88TY4MT9u1JdfPWfXeyK9U1D1c5v3zs1BX+7tz1eX2NmK7RWSOUai1Q3ZZZ3t9lGYtWr2YlZeNTKBqx0mOYFe3HshBbv//7v88f/MEf1PStWbOGa9euAcFk5A/+4A/4+Mc/zsjICHfffTcf+tCHOHDgQHl8sVjkjW98I//wD/9APp/nuc99Lh/+8IfZuHHjjK5FiS2FYu6M2AXOZMY4mxktC6tz2XGKfusytZlCq4imBm58JatUh2ktioiaCeWnuU0U9N2SSPC5K2f50JnD5L3a8boQ/MKWffzStn1Y2tJJlvAnRy/y75cnCsipMIWgK1IST2ZV/JNRY5Hqsgy6TGNJJY9Q7kOKlY6UcsXGMCvaj2WTIOPAgQN85StfKW/reuXG+N73vpf3v//9fPrTn2b37t28853v5Id+6Ic4efIkqVQKgNe97nV8/vOf57Of/Sy9vb284Q1v4IUvfCGPPPJIzbkUCkXrKHgu57LjnM2M1lisRpzivL3mC9dt4zW7biZltK7u02KzLZnkw3ceavpp7ks27uTpq9bxvhOP8N2ha+VxnpR8+vwxHhi4zNv23VlT/LidSZkz+41+6ZbVvGbPhmXz/1+PEIL9XQmVAEOxYhFCcKCzkwOdzaeCVygWm7a3bP3bv/0bjz/++IR9UkrWr1/P6173Ot785jcDgRVrzZo1vOc97+H+++9nbGyMvr4+/uZv/oaXvexlAFy9epVNmzbxhS98gec973lNX4uybCkUE/Gkz+VcJhBT2bGysLqSz8wpNUVU01kbTXA+N70LXYmPH3rukhERM2WmT3OllHzx2gX+z6nHSbt2zT4NwUs37+JXt99EVG/v520zjdlShTwVCoVCsVAsG8vW6dOnWb9+PZFIhLvvvpt3vetdbN++nXPnznHt2jV++Id/uDw2EonwzGc+kwcffJD777+fRx55BMdxasasX7+em266iQcffHBKsVUsFikWK0/hx5uIm1AolitSSobsQsVKlQ3W57Lj2HNwAdQQbIwn2ZHsZHuikx3JYFkfSyKgko1wGvZ19LC/o2fW19HuzPRprhCCH1m3lbt61vL+U4/ytRuXy/t8JJ+9eIpvDlzlLfsOcXv36vm67DmzvzPO3o64KuSpUCgUiiVLW4utu+++m8985jPs3r2b69ev8853vpN77rmHo0ePluO21qyprZK+Zs0aLly4AMC1a9ewLIvu7u4JY0rHT8a73/3uCfFiCsVKIOc69GfH6Q9dAM9mxujPjjHm2NMfPAW9VrQsprYnu9iR6GRrIkVkCuvK7+y/i1c/8lXSrjPpmJRh8rZ9yzvV72zpiUR558F7eODGZf705KMM24Xyviv5DK999AFevGE7r9l5CwnDXMQrbYwQgrce3NJUJr63HtyiPgMKhUKhaDvaWmw9//nPL7cPHjzI05/+dHbs2MFf//Vf87SnPQ1gws1VSjntDbeZMW9961t5/etfX94eHx9n06ZNM30LCsWckVJydHyYbw5cIe3apAyLe/s2cKCjZ06TS9f3uZzPhIJqtGyxuprPzul6Y7rBtkRHRVglutiR7KTLisz4XNuTnXz4jufwR8e+39DCta+jh7ftu5PtSeW/PxXPWr2R27v7+ODpJ/ivp87X7PvclX6+M/gUv733EPesWrc4FzgFqpCnQqFQKJYybS226kkkEhw8eJDTp0/z4z/+40BgvVq3rjJBuHHjRtnatXbtWmzbZmRkpMa6dePGDe65554pXysSiRCJzHxyqFC0kv7MWEOh8bcXTrA31c3v7L9rWqEhpWSwmK+JqTqbGeNCbhzb92d9bboQbIql2J7srLJYdbIummhplr/tyU4+eecPcmx8mG9UCc77+jawf46CcyXRYUb43f138YNrNvHe449wvVgRLjeKeX77iW/yw2s387rdt9Fpttdv37ZkjI89bY/KxKdQKBSKJceSElvFYpHjx49z7733sm3bNtauXcuXv/xlbrvtNgBs2+brX/8673nPewC44447ME2TL3/5y7z0pS8F4KmnnuLJJ5/kve9976K9D4WiGfozY1O60J1Ij/DqR77Kh+94TllwZV2nplZVqV2fJGGm9EViNXFV25OdbIl3EFmgjJ5BzFLvsk2AsZA8rXcdf/O05/HRM4f5f1fO1uz70rWLfH/oOq/fczvPWb2xrUSMysSnUCgUiqVIW2cjfOMb38iLXvQiNm/ezI0bN3jnO9/J17/+dY4cOcKWLVt4z3vew7vf/W7+6q/+il27dvGud72LBx54oCb1+6te9Sr+4z/+g09/+tP09PTwxje+kaGhoRmnflfZCBULiZSy6eQQvVaUPaku+rPjXCtMn0hgKuK6URZTOxKd7Eh2sT3ZQUebWToUreHxkQHeffwhLuczE/bd17eBN+y5nVUR5Z6nUCgUCkU9yyIb4eXLl/mZn/kZBgcH6evr42lPexrf/e532bJlCwBvetObyOfzvPrVry4XNf7Sl75UFloAH/jABzAMg5e+9KXlosaf/vSnVY0tRVvz+MhAU0ILYMgu8ODQ1Alf6tGFYHM8VSWsutiZ7GRNVLlkrSRu7e7jM3f/MJ/sP8pnL57Cr0rY/42BKzw2coPX7rqVH123VX0uFAqFQrHozFcc+3zS1patdkJZthRzRUpJ2rUZLBYYtgsMFQsM2XmGyu0Cw+F6rm5/1ayJxMtxVSWL1ZZEClNTDxwUFY6PD/OuYw/Rnx2bsO+unjW8ee8h1saUC59CoVAoFofJ4tiBpuPYW0mz2kCJrSZRYmvxaPenGLbvlcVTIxE1XCWmXDn7hBTTkTTMmlpV28MYq5RpzdtrKpYXju/xN+dP8Nfnj0/4rMZ0g1/bcZCf2LizpQlQFAqFQqGYjuni2CEoBVMdxz7fKLHVYhZLbLW70JhvFuspRskKVRJLg2WrU75sgSr1jbfQCjVbfmLDDl6/5/YV8ZlQzD/9mTHedfwhjo8PT9h3c+cq3rr/TjbHUw2OVCgUCsV8shLnhTOJY9/X0cMnDj13Qf4WSmy1mMUQW+1mLl1o5uMphuN7DNtFhop1lie7UOkLRZQzj1aoyUgZJr1WjIiuc7LJmC2Ajx96rsrUp2gpru/zT5dO8Yn+o9h+bUFhS9N4xfabeNmm3RiatkhXqFAoVhorUWhUsxLmhVJKHOlT8FzynkfBczkyNsS7jz/U9DkWak6kxFaLWWix1Y7m0oVkRk8xUt386a33MeIUyy58w3ahKjYqtEbZBcachbdC6ULQa0XpsaL0RmLl9qrIxL5SKvV2fYqjWHlcyqX54+MP8/jowIR9e1LdvG3fnexMdS38hSkUihXFShAaU9FO80IpJbbvU/Bd8p5LwfPCdUUg5T23tq/B2ILnkSuPCbYLvos3R2ny81v28qqdN7fo3U6OElstZiHF1lKYaPtS4kuJJ308KfGkxEfi+RKPoL8yprKUjvGRuH54TINzXciO8/H+Jxf0Pc2UpGEGYsmK0huJ0mvFwnVJRAV9HaY1qxiXdvphVaxsfCn53JWzfOjMYfKeW7NPF4Jf2LKPX9q2D0slXVEoFPPASr8fzmZeCDQURI1EUb0gmkpAtUoQzScv3rCdN+09NO+vo8RWi1lIsfXk2BD3P/w/TY9/Ru86OqxIWeA0FDf1/TQQS1Vrt+qYkiDyqs61XD80uhB0lwRUKJgCK1SsxhrVY0WJ6vNfOWGqJ3n7Onp42747l+WNRdGeXCtked+JR/hug1ID2xIdvHXfncqdVaFQtJSZCI0t8RRv3HM7EgFIfAjnLBJfEvRJwu1gP+FahvMdWW5X9VUdI8vnrN1fKp3hV/eFU2y/7ljqrstHQriufm0ZHjtczM+oxEtE03F8v6acx0pCWbaWKAsptj5y5jB/e+HEvL7GSiOhm/REoqwKhVK5HbrwlYRVpxlpu0xrUkqOjQ/zjSof9fv6NrB/hfioK9oLKSX/fe0Cf3bq8QklCjQEL928i1/dftOCPIxQKBTLl3HH5lIuzXcHn+Ivzx9b7MtRzAMagqiuE9MNorpBTNeJltqaTswwiGkGGdfhf25cavq87Razpe6GbUgrayytFNZHE9zes7osnMoiKrRExZbwxE8IwYHOXmUxULQFQgiev24rd/Ws4f0nH+OBgcvlfT6Sz148xTcHrvKWfYe4vXv1Il6pQqFod4qey+V8hou5DJdy6aolw6hTXOzLU9BIEFVEUdCnE9OMUCTp4X5jgoCK6QZRrfY8lqY19dBYSsmVhzJNu1Hu7+hpxVtvGUt3BrqMSRnzVxdJALrQ0IRAr1o0BJoQGFX7asdU9TNJvxAY4VoL9+nUnqvcLyb2G0Irn/t6IcdnL51q+n39/k1PU2JEoVhAeiMx/ujme/jajcu8/+SjDNuF8r4r+QyvffQBXrxhO6/ZeQsJw1zEK1UsF1Z6Jrqliuv7XCtkGwqq68XcYl/esqTLjLApnpwgiGKGQVSrF0u127Eq0RTVmhdE84kQgt/Zf1dTcXtv23fnol9vPcqNsEnaOWbrnTc9nT0d3WXhY1SLGCripiSClgJLIUmIQqEIGHeK/Nmpx/nvaxcm7FsdifHbew9xz6p1i3BliuXCSs9E1+5IKRks5iuCKl8RVFfymQVNpnCws5e7etYiRGCVIVxrQiAAgSjvE0KgEUzmBYRjptg/xTGaAMK1CF8vKIxR2yfCY7XyOng9McW405lRfvfId5r+GyzXcjDtFseuYrZajMpGuPCs9OxDCsVS4zuDT/G+E480fFr9vLVb+M3dt9JpRhbhyhRLGXUvaB/GnWKdhSpoX85nJmQqnS0CWBtNsCmeZFM8hSEE/3jpdNPHL0ehoeaFFdopjl2JrRaj6mwtDu32FEOhUExN1nX4yJnD/OuVsxP2dZsRXr/ndp69euOynQgoWouaZNayEK6Uec/lci7D5Vyai/mKoLqUS7e0VmWPFQ0EVSxVFlab4ik2xJLlmpOgPgMl1Lyw/VBiq8UstNgCJTRKtNNTDIVC0RyPjdzgj48/zOV8ZsK++/o28IY9t7MqEluEK1MsBaSUFHyPR4av8+bD3276uN/ZdxcHOnuIVwXhG5o2j1e6cLTSldL1fZ4qZLmUS3MxVyuobhTzLbvmuG6wKZ5ic7xWUG2KJ0nOID5dCY0ANS9sL5TYajGLIbZACQ2FQrF0KXgun+w/yj9ePDWh3kvKMHntrlv50XVb1W9Zkyy1BBGe9Mm6DuOOQ8a1SbsOGccmHbbTTtjn2qQdp6Y/4zq40m/JdRhCI1aXTa06a1opzXTDBAGT9ulEtYUTcrMRG34YR9VIUF0tZFsWR2UKjQ3xZK2gCq1VPVa0ZZ9NJTQC1LywfVBiq8UslthSKBSKpc7x8WHedewh+rNjE/bd3bOWN+29g7WxxCJc2dJhMRJESCmxfY/xskgKBFHGcRh37bJIytSJp9KYrDe5MFguWJoWZncLxFhUN6qsapWaQfG6DG8xvZQZrlbAldpRXUcXgZCbiRtdrxXl5s5eLuWzXM6lKfheS96nANZFE2WrVLWFak00Xr7W+UYJDUU7ocRWi1FiS6FQKGaP43t85vxxPnP+xASLRUw3eNWOg7xk484lkzF1IZmLC5UvJZlJrUfV1qZwXzgmE45xWmRdUswcS9OJ6Tq6EAzbC1NzqteKsimeYmPZUpViUyzJ+ro4KoVCocRWy1FiS6FQKObO2cwo7zr2UMOn9Ld0reIt++5kczy1CFfWnszEqpEyTHYmu0JxFYimrOuwVG7yuhCkDIuUaZEyTFKGhSd9Hh650fQ5ntO3ibhpUPBc8p4XroOl4Hnh2m2ZxWcpktDNsnVqc5WFalM8pWriKRQzQImtFqPElkKhULQG1/f5p0un+ET/Uey6Sa+l6bxi+wFetmn3sklsMBlSStKuw1Axz7BdYMguBOtiobx9NZ/hSj672JfaNDHdoMOwSJqBWEoaZo14SpkmScMq7+swK2Oimj7BFWy+MtH5Ugaiy/PI+25ZnJXEWGXtVYm1KsHmu+TcQLRV78t57oTP9GJgaRobYskJySk2x1N0mRHlcqdQtAAltlqMElsKhULRWi7l0rz7+EM8MTo4Yd/eVDdv3XcnO1NdC39hc6TouQ2F03CxSlCF2+3mpleyLlWLpGQoklJG9XZFLJX6koY5LwJ5qWWi86RPoWxVq7Ou+bWCrt7iNlHwedwo5sjNoIbVSzbs4Lf23LZgcVQKxUpFia0Wo8SWYrEIMpBd55uD/aTdIikjwr2rtnOgY416OqlY8vhS8rkrZ/nQmcMTiqLqQvCLW/fxS1v3YQhtUTPxedJn1C5OKqJK7aFiYdETQ8R0o0YkJY0GlqWG1iaTmG605e/KSs5E9+TYEPc//D9Nj1+ORX0VinZEia0Wo8SWYjHozw7xzuNf4UR6YszC3tRqfnffD7I9oW6qiqXPtUKW9514hO8OXZuwb0MsgSE0LuTSE/bNJROflJKs50xufapqj9rFCenrFwJDCNwZ3KZ/dvMeXrPrlnm8osVjpWaiU0V9FYr2RImtFqPE1uKxUi07/dkhXvXov5B2J89ClTIifOT2n1SCS7EskFLy39cu8GenHift2k0fV+9CZvsew1MIp2pxtRjxNboQ9FpReqwovZFg3WNFg75IjFVWlJ6w/2xmTFk1FEvOlVKhWAkosdVilNhaHFaqZUdKya888k8N33c9+1Kr+eQdL13WwnOls9IeOAwV87z/5GM8MHC56WPiukGfFWPYKc5IqLWSTtOqEk3RKkEVqxFXKcNqOsW9smooSqxkV0qFoh1RYqvFKLG18LSzZceTPrbv4fgeRd/F8T3scCm3Zant1vaHfY6sPaYYrh3pMVjM8uT4RHeqyfjf+36YZ6zaStKIzOO7ViwGK/WBA8Bnzh/nY2ePLOo1RDSd3mrhVBZSsbJVqteK0m1FMLX5qUOkrBqKEivVlVKhaEeU2GoxSmwtLDOx7GxP9PC2Pc/FkX5F/EgP2/cDUTNBCLlVQqiBSGoghOpFktemX5u4brImkmJ1NMnqSLLcXhNJsjqaYk0kSVRXdVSWCv3ZIX7tkX8iM0UmsqRu8NE7XrosBddHzhzmby+caPl5NQTdVqRGLDWyQPVYUeJtkjBCWTUUCoWivVBiq8UosTV/SCnJuDYDdobBYpaBYpYnx57ic08dXexLW5Z0mtEaIVYvyvoiyXl7Qj9bpJTkBo8ydvkbeHYa3UrRufE+4qsOtMVEeD6QUvLy7/8NJ3Nj047dE+/kL+/6hWX3t3jviYf53JX+psebQmN9LFEWS9XWp5Ko6o1E6TCtJZkWW1k1FAqFon1oVhsYC3hNihWI7XsMFbMMFDMM2oGQmtAuZin4zdcQUcyNMafAmFPgdGZibSMAAfRY8UCERVOsjiTL7TWRFGuiSXqs+IJNVvOj/Vx48B0cT9/gidgmcppF3Le55dR/si+1mi33vJ1Y1/YFuZb5xJeSnGeTdoqk3SKHR682JbQATubGODp+jZs6183zVS4sKcOa0fiXbd7Nq3bePE9Xs/gIITjQ2asSYCgUCsUSQlm2mkRZtmrxpWTMKTBQzDQUT8F2hlGnsNiXOitMoWFpBqamY4WLqelENANTlNp6zf7yeFEZX32spRmVbVF7TP25TqcH+Y0n/q3p6723dxu29LhRyHC9mCY3z3V+dKGxykqwps4yVi3Qus3YnJ+250f7+cb/vJG/St7MRWviBHOzPcQvZw5z33P/ZNEFl5SSrGuTtrOk7QzjdpaMk2PczpN286SdAhnXDhbPIe05ZD2XjO+R9X1yUs4psfjmSJwfWncT2xI9bIn3sCnehdVmFsqZouoLKRQKhaJdUZatZcJiZCHLe07ozpdhoEo4DRSzQX/o7udKf15efzbsS63mzu5NDQVSIHIC8TRRCNWND4VUs5nC5os7ujeyN7W66WyEf3zwBTWfh4xb5Hohw41imuvFDDdK7UKGG8VAkM0l5bUnfa4X01wvTqx7VMLSdPoiYbxYVczY6kiStdEUqyMpkoY16edYSsl3vvM+3tt1D3mtceKPi1Yv7+26B+u7f8Kznveh8EAP3ysiPRvfs5FeEd+zJ/b5ds225xYpejbpkiDyXTJlMeSR9SVZKclKyElBFo0cGjmhkxMGeWHiL6Jr2sVijk+d/355WxeCDdFOtiS62RbvYUuih63xbrbEu4nP0GK0WBzo6GFvqrvpTHz7O3oW4KoUCoVCoWgeZdlqksWwbLU6C5nr+4w4uRoL1ICdZbBOSGUWMG1ypxmlz0rQF0myKpKgL5JgVSRJzrX5i7Pfbvo8n7j9pznQuXYer3Thmc9sjDK0TF4vZrheSE8UZeFnwptnQR3XzdBNMXBP7LNirNIEvXjEx/p577V+LjWwaNWzxR7kzUNfw5E+eWGQ10xywiKnWeQ1i5ywyGtm0K7fLo8z8cTStgQ1y5pIiq2JbrbGe9gairGtiR46zOhiX9oEVCY+hUKhULQjKkFGi1losTWTifa2eM+EBBMV176KkBq2c/hzclRqnohmBMIpFFKBiApFlRWIql4rQURvbFxVdaYCphLc+1Kr+Z15TPvtSZ9hOxe6JtZZxgppbhQzDNnZBfpETY8uXTyxtIz1Ed8hJh3ivk0sXOLSIebbFIXOdxM7F/R6us1Y2Q1xa9ki1s0qK7Go3y+ViU+hUCgU7YYSWy1mIcXWTISGKXQ0oChn7xI2EzQEPVacVSXxZNUKqZLAShmROU/O2rnO1kLi+z6PXvoOX7vyGGnPJqVbPHvDbdy+6elo2sK7rfmeg1sYwS0Mky8McSMzwLXcSGANs3MMuA6Dns8wOsPCIqO3n7WkVVjSIyZd4ngk8IkjSQjCRZDQNJKaRkLXSWomScMkZVgkdYukEcE0omh6BKFbaLqF0CPh2qIwdp5Xn/pOw1i1ejbbQ/zy8Le5bnbwlNHJNbOTa0YX160uCsz9M5I0rECAxbvZmqis10U7FszlVmXiUygUCkU7ocRWi1lIsfXk2DVe+eg/z+trNCKhW/RFqlz66tz7+iJJus04xgJO8BfTstMO5Ef7ufjgO8gPH5+wL9azj80tyMQnpcRzMmUBFSwjuIURnKq2mx/GLY7g2ZPHaTXCRmdUjzNsxBnRE4zo8XCptAva4sQQGUBS0wMxpBsk9WoxFCVlRkmZMVJWjA4rQcpMkLJipIwICd2a1DLbCqSUfO2/X80fWTsmjVkDiPlF3jDwZda7EzMXSmBEjzOU2s7o6jsZjG/kop3nfG6EsRYkr4loBpvjXaE7YkWEbYx1tl35AMXSZzFimNsN9TdQKNoHJbZazEKKrY+cfZC/ufhIy85Xyhw3lZBaZSXaNmg+eKJ9nW9U3VzuW7Wd/cv85pIf7efMl+6fUtzoVoqdP/yxCYJL+m4olkbqRNRwXV/Qlv78Zi+cEqHhRHsZj65hLNLDqNXFiJ7g+w5cks0L+27DYmdqDUkjQtKwSBkRkkaElBmptMN10rDoMKJYmt7Wn6H8aD///MBb+FTH7TgiMWG/JTO8fPwxXvL0t5AfPMbQ2c9THL8wxRkFqfV307vjRXirD3GxkOF8bpjzuRHOZ4c5nxtmoJid83XrQmNjrDN0Sewui7Et8a5ZF9X2PI9/7v9P/uP6MXKeT1zXeOGa/fz09heg6ytD2EkpOZo+xzeGniDt5kgZce7rvYUDqW1t/TluBa2OYV6KqL+BQtFeKLHVYhZSbL335Nf4t6tPNj2+w4hwoGNtTYKJPitcRxJ0mbFFz66nmBlSSk7918sbWrTqMSLdJFbfhlusCCjPHl+Aq5wcTY9ixHowot0YkW6MWA9mtBsj2hMu3RjRbsxoD7rVgWhgBTky+hT3P/Z/m37Nj9/+U8uuzlR/9iqvfPw9ZNwiEEPIFKADHlKkgTxJI8LHb30z2xPrw+LPRxg683lGL3wF381Pem490kn3th+hd8eLiHVXYsMybpEL2ZEaAXY+N8LV/Nic4/MEsDbaMcEdcWu8h5Q5ufXuixce4F3938MhPmGfSY63bb+b52151hyvrr3pz17lD0/8NScyNyZ8DvYmV/N7e3+J7Yn1i32Z84JyKVd/gxLKsqdoJ5TYajHtbNn6hc138Kod98zjFSkWEiklY5ce4Pw33rrYl1KFQI90YlYJpZJoqvT1lAWWbsTm/IpSSl7+/b9pqrDvnngnf3nXLyyrm62Ukl9+7N2cyFycduy2+Dp+f88vY2g6htDRhY7wbHJXHmT8/JcpDh5FR6JJGazrjo/37qdnxwvp3vrD6Fay4WsUPZeL+RHOZ0siLFhfyo+2pAzEKisRWMESFQG2Nd7NQ9e+zx/2P87UlUpc/vf225at4OrPXuVXH/szck4vgonfLUmeuDnEJ277zWUhuKSUuNKn4LnkPZvXH/48/dmhaY/bFOvi9bvuQ9c0NASaEOFaQxOgCQ2BQBeishYCnWBdPiZsC1E9VkMQWG3rxy7E30MljFKWPUVAOwluJbZaTDvHbC3HtOcrBddOUxg9S2HkDPnRsxRGz5Af7cd35u7KNR1Cj0wUS1UWpxpRFelEaAuf6e/7A0/whif/B4/JXc90HP70pudyV98tC3hl0yOlJOcVyXp50m6OjJsP2/mg7eZJe1VtN0fGy5N1C6TdHONuluI8uXeKUHTpMhBeuqy0LSOKaSaxzDiGMNCFViXitLKYM8K2QMP2NfKeJOdKMq5PxvEYdz28ltxeJIFNbGoMcnz60C8SNczyhLj8fsPjy2tRv6d6n6D6yNK/pfOJqr7ykaLx61BzXIP9Vcc1ug4IPkc/9/B7OZeJIJjcXVLisT1V5G/veNO8Tzhc36PguxQ8l4LnVNq+U9cXbvu144q+Q96rbzsUfZd8uG7NZ2dhqBdppXatsNMQAjS0iWOnFHmCnOtwOjvY9PW8YO0+NsQ6yzUlTU0nUlVHMtKoHqWorTtpajpm3fdoMVGWPQW0n+BWYqvFtGs2wuX8FGs54XsOxfELFEbPBqIqFFdO7npLX0ePdJZd98yyG1/F4mRWiSrNiLf150ZKyR987+V8qRBHyi2TPNHPIcRFfjiW53/f9amWvR8pJUXfIRuKoXQoiDKhcAraBTJunkwokjJuZSkdt1ClFtoSCWACEZARRLgGCzGllaoVLy3DC2h2odIWk4+b9rxTHNvwtWqOnfTNIPztDT//E4fmuG9VBxvia4hoESxhYWoWujAwhIkm9FCwaUhJWdwUfJeiN1l7ophqp4L2ivnFCkVajTDTjHJ/WchpdW1REXX1YyxRfa6q85W2RfX5DAyh8arH/kXNiVY47Si4ldhqMe1cZ0s9xWkfpJQ4uYHQQnWGwshZ8qNnKI5fQPru7M6JZNCES1GwBVgSNhVglVN5Cr5q90+x4dDrFsX6NBd86WN7eQpulqKXpeCGi5fl8vhJ3n/5QbJaIpyjNo5ZQkDSz/IrfbvojW9AFyZCGDgSbMD2JTaSou9TlD4FWfVUXrrkPIe875Dz7NASVSTnFXAWqJzCikNC4BJo1YmwCGIKC+ZyZ3IhB4L2TF6kULQjP7H+IDtTq0iFSZHKixkhoUcWNKPyfNBObnQLRbsaIZTYajELLbZApT1vdzwnS2G0n/zImdBiFaxnmhq9Hiu5ATO+muyNxxg1JN/uhKEGc61eG54xBl2uYNePfJLEqpvm9LozwfWdhgKpOGk7RyEcWwz7Cm4W28uHk8xafASjIskJo/mivhFZQKLhouOLpZmdTgAWEAFs/BnVyNoW7eXmzt34gCclPj6e9HGlV167flVbenjh2nFy2HYa280FxwuBhyivfQGeWIAJitSotYR1KKGxzDGFRlQ3ieoGUa12HdENLudGOZ+bWMx6Mm7pXM+d3Zvw8fFl8EDHRyIlePjBWvpIJL6U+KX1JG2JDMZXHeeF/dMfJ4PSGjWvW7mmRsdXn790/Iq2kM8Dcd0kZURJGRYpMxpmr43WiLKkEaGjLqNtyogQ0YzFLfDeZm5084GUEtv3KFS5GD85do13nfyfps+xUOE1Smy1mMUQW7By0563E9J3KaYvVYmqwA3Qzj41p/PqVgex7p1Eu3YQ69pBtHsn0c7t6GYcKSXf/e+f5XNGP0UNMiLOsOjExcDApUeOkZQ5Ij78uLeDu5/3d9N+HhpZkYpebgqx1FggFb0crm9P/TcDXHQ8dFx0XGFUtoU+oe1i4JXbOnIhJvbzgC698J15GGHbwEOX4RofAxdd+uF27TgNv+xNlhZxjhh7mn7tg+5JUjJX0yfQ0DUDXRhowkAXOlq4rQs96NfCfmGgo+EXx/HyQ0g7gwZooYebKHm6ySD6SI/2EOvcjtWxBaFHEehIIRCilIJDhP+PAr+8LZCUFpAIfAgnoOATLr7HyMhxvpHxyIrmEz5oskBMFiqvIbSq19Mqa6GF28FfSdEYWfnfCZfqth+6TVb2yep9gf/jJMdW2kIIEnqUpBEjYcRI6rGgHfblXY0vXhto+pqXY1bSmWZmfePuZ7Eh1onje9i+h+27QVt62J6HI4P+yv5SnzuxP9xX9F0c38fxS+1g/0oTgqbQqgRYKNiM6ARRVi/cSmVH5pJQpZ08ngJXe7cshvK+Q94N1oWSG7LnkA/jNfNeVb9ft91g3Fw/VwuVOK5ZbbC0fI5WKFLkkNp1pJZDanGkUMkw5gMpJW5+qCpRRSCqCmPnkdOIi6kQmkmkcyuxrp2hqNpBrGsnRmzVlALpwS4YzUU5rW8OXOmquMJaEn6WXVzki5ERhs9+lKKXq4inOpFUdIN9jaxIDf8WgB9aiVz0KiFk4IlOXK0kohoLKm8JWpY06deIo3J7gnAKBRN+bT9eS6ftSZkj4Wcn/N83HOtnSdYJLQgmy65v4zLDz68GRCfbWXJvG4TMIGS+P7Nzz4DVYgPnaF5s3W5/h9vtK1gSLD9wuTWnCIeC4HMeTW0h0bWPROde4l07iSS34AsDVwaTS1d6OL5ftV1Zl/Y50sOtGdPEMeXtqrbv4VRtj9p57Bm4tHYaFpvinWiCQNIKHyl9JB4eHq7v4EgHR9rYvk3BK1Dwg2WimGr6ZWeNRAYxj14eGs0hJQiaj1l7y7H/Q7eVIqFHiRtR4no0aOtR4nqEuBFsl/oSRmlfsD9hxLDE4lov6rmpcy17U6ubdqF6yfqbFuz63fCzXy3syuLNCwTe5OKttr9W+JX6XM6MX+N6C4qwtwJH+ow4eUacyctqTIYAEmVxZtVY10pirJE1LWVESOgW7zz+lSmFFkDaLfJHx7/CJ+94KRImETOhxagJ0VMRR1X94Zh2ltnjbfJ5KaHEVhvTn73KO07+NccztUVKP3Ppi+xLbuHte5ZvXZVqgtpBRxm7/A08O41upejceB/xVQdmfUPx3DyF0f7AUlXlBugVp08zPhVmYi2xrh2hxWonsa6dRDo2NR1L5fkug/nLHB34BqdzVzli7MITjY/NagmOiF3gnOYrFz49Yb+PqLUgiWSVNWmipalaVHkYyDaabDSDAXRoJhEBJhJT+pjSxZAOhnTR/CKaX0T3i2jSxayzMJXsHJLAeDMheqbJvlZNUAWwy7vIETH5ZwBAly47vYvL0j7TJ69wXmSQNE5HX41GBs28wuG6sC8hA9FVLcDKawmW72PlzjGeOYd56QvogBA6qc6ddHTvo7N7P53d+0h2bEdbhJjImVo13nfzj83KsuNJn1w56UslyUsmTAyTdQvlRDClZDGZmsQxeXLePExwBEjtCvjbps3GKLWrDDpFBp25/Y7rQquIsUlEW8KIBeKtSrTVHKNHiRsRYlpkzsJHCMGL16zhRPoq05VA+LE1C+v1YmgaBhqxWRYrb4Tvu+RzT5FNXyCXucSDNx7hL/QDTR//Q9lHSMgCBWFREBZ5zQrbJgURpahFgn5hUpzit7XVSCDj2mTc2T+8bYbj6Rs88+sfXtGJbIpSiS1FE/Rnr3L/E39C2p34tBrgeOYC9z/xJ3zsljcua8GVH+3nwoPv4FjmAk/EOslpOnHf45bT/5f9yS1sueftxLq2T3q89D2KmSuBpWqkYrGy01dgDs9lNDNZJap2lF0BJ6tRVHNNUpJ1RrmRu8CN3EVuZM8zkLvIjdwFhvJX8KWHD5zW90w5yQbwhMGTxi6SMlsWTl5ogfKXkCuehiChW8Q1g7jQiQJFN0f/DJKK/Gj2JGu8xt+XhaJRrjmEhmkmMIwEhh7HMOPoegxdj6IbETQ9iq5ZaLqFppkIzURoBodvfJ2L2ZMcdE83tG5CYNHa6V0kTgHLh4gMXi8RW0M8ujqM+/DwpIvnu/hh2w+3g3b1frdp6+dCoAG7/Ac5pT2H6SaZO/0HG0a4SQFFERpNmjC4GhIs38NyT2JdP4l17d+wJEQw6Iqvpze1g76u/aztvYPezr1oDQpyt5KbOteyLdHNuez0cUvbE90c6Jid54MuNFJGnJQxsXB0s8xVsAXHNJgkiSJSOwf+hkmzkkrtKoipn/rP5H2MuznGJ7n/zgQBxPQIMc0iplvEy+1IsK1FiOvBdlyPlMfGw7FxPUpEGHzk/N/ha3HENH+Dj50/zos23IfW5kkgpJTYxRFymYtk0xfJZi6STV8gm7lILnMZKSu//d3A+o61XDWmd41b7w7ytOLxph8++YhQhFk1S0WgTd3frvfZpSK0dCGIaiYx3SSiByVFRGhh93BxfJuiX2TMyePLVPMnFuPzds2zQcVsNclCp35/+WN/PMGi1Yj9qS186ta3tJXLQ6vIj/bz9a/+On+VWsWFyMQJwJZijl9OD/LM5/wFsa7tOIXhMPvf2Yq4GutHenO4AQudaOfWUEyF8VXdOzDjtU8PpZTY0iXnFsh5BXJekXEnw7X8Za7nr3Ijf52h4gCj9gjjdpqC7+IJrWxT8US4DreXYoKHuGYS10ximk4MjaiAqPQxpYclHUyviO7lMbwcmpPF8PNY0iMiPYyqWKUSEvjXxG6G9Ond6Hq9LC/Jnpo3646hx4iYKaxwiVSvjdq+Uru0beixWX0/z48e4YOPvAIIn4hOErdXOvO2AsSrfs0tM8XNO36BA9tehqFP6hM4AV/6NWKsLMjK4szF9R2ywycYufR1xq99H8+3A8czEUbkhGtfAEac2KoDRPv2o0e7y+dzfYfx0VMMDDyE6+bLx8jwON2Ik4smGbZvMMxqTmv3NLRwaWTY6T9ID9O7WLUaISEqTBJGilSkl87YBrriG0ha3aSsHpJWDymzm6TVTdLqwdBm9/S/PzvErz78j+T9yd0JY5rOJw69bNGC46WUOH4R28tje3mK4dr2ChS9XF27UDemckzRzZPz8uR8m5xnc1YmGdC6wxeBqbKSAmihy+VS/A1tiib+BrfEutndsZ1uq5ueSC9dZlfZOlcScDE9QkKPYszzwwLPK5DLXJogqLLpi7hO88mkbuid/GXH87DF5AlzLGnz8vEvstqbm2WzWSTgoFMQEQqaSV5YQbtavIXiLF8v3DQLWyyN7KuGCCyXsTCRTUwzieomMd0I12YomKq2G4zTgYyXZcxJM+KMMeSMcr0wxLXiME8VhxiypxBIMyyB8eING3jL7p9v3R9hElSCjBazoEWNx/t5xePvbXp8RDOJ6REimklEs7A0g4hmEdFMLM0M+8NFNxvsqzpGN4mIyrjJzjXf4k5KyVe/+Cv8UVQjN4XrTtx3edPQFTb44BWbz1gFwcSuKDQKmk5RaLjxVfipDfiJtTjxVbjRbmwzEaYFL5QL1ObC1OA5t0DWKwR9bpHAHrV0sYROXAusSzGhEROCCJKI9DCli+XbGF4B3cuju1k0J4MlHSzpYeHNIG9e8wxrUT6f2IU9hYXPki4vyp6mx5/cbUAIHctINhRM9eLIMlNEjNp9i+E+JqXkT773szyV7Z92bKeeYmMmQyNrbSzSy627Xs6ezS9Gn+Vkfyo8J8vohf9h6MznyQ0emXJsvHc/PTt/DKNrGyePfZiRwccnjNGNODv3/Qpbdr6Mi+kTfPDhQHD6wIDYwA2xDQ8LHZvV8hx98kr5s/cj2+8naiTI2CNk7GHS9nDQdkZI28PY3szjLFpJzEhVhJgZCLBAlHVPEGhRI1n+nb2W6eePH34DR/1byIqJYiohBzmgHeYth/6UtcnJLf0QuCrbfoGim8P2C9huIISKpbY/UQgVJxVQhRqxNB9W0dkmiqmOO230QMsTeqU9YVuvfRiGXl0Je1lhCL0swBKhCKsWY7Ewzi2mRUgYEWJa4B5ZLdyimolup5H5a7iZq+Syl8qiqpC71pLrvKFH+WTnTThMXnPR5CKvGHuSWzY8G8vqwHML+H4Rzyvie0U8r1DVDrZLbX8uD2VniYeYaD2bRJxdNXoY1Zu37CT9PL3eeHDvDt3mLeliSpeIpgVWVSNK3IyRMBMkrCRJq4NktJNUtJuOaC+pWC+pSBem3tz9r+DZgXAqDAVLcajSLgwx7MzR2iQjiKbcic/xi5ufxau3vWRur9cESmy1mIUUWx8+96985tIX5/U15oolDCL6RBFWLeAiVQKutt/EEgaWEJhSYkoPw/ewfBfdczE9G2/8Eu8dO8wVa/qnGKudAj82+hRFTaeg6RSERkHTKAqdgqZRqFoXNY2CZgRjl9nNU0MQ1y0Smhm44glBFIjgY/nBD63hFwLB5ObQ3Ay6lyMiPSzpYbSR+1g1w1qUr8c2M9jAwtXnZbkvf5Eev8C63kPs3Pj8WquT2YFlJjH19i7gPBnXMv188OFXUPCyk46J6gl+49AniaLxyMmPcf6przYcl4qv57bdv8qODc9Dm6en/oWxcwyd+Q9Gzn0BtzDx4YePJGNCTqdhbNu6TT/CnoO/TjTWBwSC8/889MtcSh+f9rU3dezndYf+csr/56KXJ2uPlEVY2qkTZfYw6XCddUYX1aVSFyYpq5uE2cVQ/goFLxtYOOllRGzCxcLAplteIslQEHxvdrKz6xCOX2ggkIK2J51Fe0+zQQKH9d1NJ4o56LXewh0IN1EnxiYXZhO3a4XeUs222hRSYkk/vK/44eIRqWrX7i9tB+2YMOmMr6ErsY6e5GZ6U9tIJjfzyiP/h0uaPq1lb7P0+ey9H52xG6WUslaYVQk1zyviuwU8v0qo1Qu5JvaXz+cWatwkm+Gyvoq/7PyRpse/fOy/2OgNzeg1GiE0k0ikGyvSDVY36UgHY0aMUc1kGMGg7zLoF7huZxhxM3N+vYbXgKDLTDLipEPBNb078SdveRM3dU794KkVKLHVYhZSbL3n9N/xr099c15fQ9FeRDSTpB4jbkSJCoOh4jDDMwg2v6l4nacVr7Z1kgSBhmUmG1qVLCNFxKp1ycsWbvCtw+8CgvvrgB7nvNFJURhEpMtWd4w+r+JG96JnfIrV3QtXa2yhuJbp5x+O/WFDwbEptZ+f2f/2GmvG4OhxHj75Ua4MfLfh+bqS27hjz6+xZe0z502ASt9l7Mq3GT7zecavfgcpXfI6pM0wc3wdsUgv+279bVZvfPaEfdcy/fz5I68k707uchQzUrz2jo9Pa9WZCb70yDpjgSizh8nYw4zln2Jo/AwjuUuMFwfIOmMUpIuthS6TijljaBEiehRLj2PpUXLOONft7JTJgiBIFHPQPc3eju1s77oVqLPzylICnNp17b6aA2rHVU2V6lvV56pMqSYf7/o+tvSxpcSWPo4MCq5XtmXQ9oO+C8U06WYCDpcpBjouzWfk/KVNP8LOxMayJS6wzkWIh+2YbqEtsuCV0qsVal6xRoz5XrEi3twCT13+Ku+z+5qOW/uV8f+e8XzARmNUt4JFsxgL16W+7Dx4RkAQm9srTPqEySo0+hCskrDK91nlOXS5NrI4xu/HDC5aiekFdzHLX976JpJ9B+fleqtRYqvFtLNlq9tM0WkmKHoORd/B9oO1M8MnJ4oZIGWYyy9IF66HacNL25bQ6DBTdFld9Fg99Fo9dJoddOpRLN9BuFlwxvGdMfzCMEV7hHxxiLw9gpQe1/U4/55o3nXmxdmTrF6A5BC6Fpk8dqlePNX1mUYcMYMbnJSSf//WLzM4Nr1VY1Xnfn7sB6a2aixlpJRcHD/KkYGvk3fTxIwUB/ueyeaOyTNyPjX0KA+f+Ag3Rg433L+qcz+H9r6KDX13zeelM3jlmxx9/D3kCxNrJQkJKQdiXuDq2bHuafTsfBEdG34ArSq72UwF50JSyA8yPnKcwaEnuDH6JIPjp8i5WWwNbEF5XaxqO0GpsiWLQCOix7D0WHltVQmkoK/Ujof7qsfWHlc9pt7qen7sCB98+BXkaFwGA2oTxfzmoU+xpXN5PXT58tUv8/Yz/9L0+Od3bqDbiDFqjzLmjJF20mS8HAXPKccE17pUauHdK1gvtUy0syGmRcpJSUpuk/Xb8XJftKbdaF9Us+b1/jMydIS//vbb+KfU9MmCXpr+Kj++92exzCTFwhDFwiB2cZR0cZjrToYbXp4h6TIENWIqN09iSkhJh2/T5dl0ldbh0uMGfZYMajqWF2q3BXA8HuUTPbsoTOHWH/VdXjl8mmdufSkbbn/NvLyfapTYajELKbaOjJ3lV594X9Pj3yF62OG5+E4Wz8nhuzk8J4vrhEHJQsMRGo4QOELDFhquEA36Rbhd6as+xmmw324wtl1/qHUIbifSaSiQtKrtUv0kbRIxFZREFXRFVtMd6aPD6CKhx4lJA8uX+E6GQklAFYfx/Jn5g0vg3xK7G7rO1dPnZXlx08khRGBdMpJEzI5QCCXL7naVvoniyTKTGHpkRu9jroyk+/mPB1+JPUUgtWWmeOE9H6c7tTiT7XZGSsmlG9/mkRMfYTh9puGYdb2HOLT3VS23ChYLQ5x68kNcufCfDS4sEFgpJ3B/rceIdNO9/Ufo2fEiYl3bw6ykgdi6FA0EiyVhUwE2pfax5Z7fmzIr6UIipSSfe4qxkWOMjxxnbOQYYyMn8Koy2/kEgqtajDUSZbYGhTk8gA+sRI1FTWPhE25rUSwjjqVFiYRrS4+V28Y8TyyrqXYlnS5RTDOupEsR3/d5wbdfyYicPnamW3j85zM+hqZpuE62nIwim7nI2Hg/w9lzDOeukJc2BQ2KGhQENW0pRF3CpsZukn5NvJtW3l87fmkmfJopAlGbUbIq5i2mR4Ksk2HsW7wqDq6RwIsisNwCmp3BK47hFUfJDBzldenHuGL0TOtG1+uN8dzxAUaMCEOGxZBuMWRYZJqMvZrxe59MTIXtDt+eu11WAiKI3fu31GaumhPnRuudLD+evshqr8C2vmex5773zPVVp0WJrRazkGIrc+MILz/83sBcOg2bi1neev102zwklQRBn069mNMMPDOGa8TxjCiuEcHVI7iGhauZOJqJq+k44XKkMMh5v/lg9j1WJweSvRScEXLFG2SK13DdTI1Amu3fyBQWST1JXFhEpMDwHISdRXPz85IUosRMkkNsj69jXe/tWGbH1OLJSMzIutQODFz+Ot989PcY0Sa6VXb7Ue69/Q/p2/jMRbiyhUNKiXv9KPb5byCLaUQkhbX1Pow1zdWak9Kn/+qXefTkxxnPXW44ZvOa+7hjz6/R07FjTtfq+y4Xz/4zZ459AtedGGvW2XMTew/8Ov7YRYbOfp7c4JNTni/atYNi+vKUWUV1K8XOH/5Y2wiueqT0yaYvMFYWX8dIj57Gb6JY+qkonG8+mSR3rnoOLznwOw2tREuVxXIlbReklHzmqz/PJ4wY7hT3A0O6/FL2KjcnNpPLXKJYGJzxa/kEQr+g1Qow14xiGwYFIcn5BbwZuPUF8wKtbDmrT1jiV1nXqhOW+OgILUoWi0LbzHIWDiElEekT9T0EkhEjfNjZREbKVqJJSXdoheoJ191lQVUk5TsIwBNhRlrR2F28VfjASSvOkWgnBc0g6rscLIyxx86V52R9XTdxx3M/NX8XEaLEVotZSLF15dEP8Z+X/onPdO2a/od19DSH0gXEPHzDhGagmQl0I45mxtHNRLA2ElXbCXQzjmZU7TfjE/qFPnlhRyllmAraxpUOnu9yZOwsbzjxl01faykD1VywpBYUOJUQCWsWWX5gsJ/vn3ldixCP9hK1eohHekEILlx7oOnkEMs1Xskd7mfsX+/Ht8cZseBaDBwNTB/W5qHbBs3qoPMlH8PoWX6TLAj+BpmvvgN3YKILndG3j+Rz3t70e/d9l1OXPs9jpz9FroFbHwh2bHget+9+JR2JDTO+1qEbD3P8iT8lMz4xg6IV6Wb3Tb/Ohi0/WiP4C6PnGDr7eUb6/wt3hhlFq4n37mfXj3xqyVg1fN8lM36WseFjZRGWGe9HytpJ7KgO359BeZmn5yJsTu0lGl9HLL6GaHwtsXCJxtdhGNMnHWpHpnQl7djPz+xbPFfS+UJKieukGbj2HQ4/9HucN6P8v47NjDdwpez0s7xk/CJbndkXczXMJInkFhKpzSSSm0mkthBPbiKR3IxuVBS/L32yzihjxQHGCjcYLd4I2sUbjBZuBOvijZZl/5xpRspN7jVimkBqBj4mfijcai1wAgeBK8GV4LRVhcGFRZOSHs+m161aqrY7PSe0TAk0PYLQrXAdQdOt8lozIggt2Idu4iPxhAxKiYRzPM+3cf0irpvH9XI4bhbHyUz43ZuMjAZPxmG8wdS4w4WbcpD0Ye26Z3LrPc1n9Z4tSmy1mIUUWye+/iY+W/g614zpfdTXugWePwiR8DGC0CM14kiYMYQRByMKZhRpRMGIIHULaVj4ugm6ha8boBl4mh78QGkaPj6udPF8B893QiHk4PoOnnTDL45THuP6dlgcNRjrhsd50sH13eBLVjpfuN8N2/XMVwYqTVZEVM069BFuJULoxKweYtEeYpFe4pFeYpFeYpGecF3q68E0EhPqdpXilaZLDrFc45WklIz+yy/jDZyYdqzWtYXkfW9B6CZoOkILPs9C02GqttDb+u9WEpvSnvyJvrBSMxabrlfg+Pl/4Ykzf03RmViTRgidPZt/nNt2vZx4dNW058vnrnPyyAe5dvkrDc+1ecdL2bn/FZjm5EW/pe8ydvlbDJ8Nkmowi6KcidW3YyVWo+lRRFgwWiuvo2h6BM2IImq2I2E7GkwajGhQWHoRPheeW2B87BRjI8cZHznG2PBxMpkLfC/ZeHJRT4cLd2emfjhkWh3E4usCERZbE4iyxFpisbVE42uxIt1t+52YTexiu+J7NoXCIMX8AIXCQLDOD1AshOuwvz4leTNP9adCCJ14YmMgqFJbiCc3h+JqS0v/76WUFLwsY1XiKxBiA+XtUpKZac/F/GekrM446de4Sza2vvl17pN+3fh2cp/UgB6hs0qYrNYjrNbjrDUTrDM7WWd1sSbSg2nEJoinkqgqCSuhGfPyPQseKmSwiyMUi0PYxRHswgjF4nDQLg4zOnSUIfsG30+CO8UH3fDhrgwc3PmL7DmoYraWHAsptr74Pz/DFwmeDDdTzDTmgaFHkEILi4rK4ImC9PClt2Sf1+SINp2BKk7V0zwJZiiq6oVVK6xUUaurLJYC4dRTJaRCERXtJWJ2zMllb7nGK0mngJ8fDpcRZH4EP1xkrtLvZQeguABV4DWjRqChGQihh6LMaLy/LNwmE3bBvupzlM5Z7tNDsTfJMVJoZL/9fvzRi9O+BWP1fjp/YuZWHdvJ8GT/P/Bk/9/jNEiwomsRDmx7GTfv+HkiVueE/b5nc+7039N/4q/wGmTP7Om7g323vpFUx8w+n05ugOH+/+LGsb/Bm0JozhtCCwSaHglEWyjGSmKtJNREzXZpfJWQq9ovJjl+uv+z4098gKP9n216kpGcY7k/TYsQja+psoatDcXZmmAdW70odecgmJTlBo8ydvkbeHYa3UrRufE+4qvaR2xJ6ePYYxTyAxTyNygWBiviqWrbsUfn9Toi0VUkUpsDMVVlrYol1i/a/18jbK8QCrBqy1hFkI0VBxgvDsx+PrCIlGq9TR7/Vp2spFbg+XXulg7GjMRbtz/KBv8GEWlj4Uw57xFoGJqJoVmVtTDRq7fDtS6MCeMMzUJvcLxRd7w+WX+DvnoX6JHBw/zZI7/a9EOn3zz0Sbp7VTbCJcdCiq2//PpP8aR7aV5fY6nQbAaqqAd9bmChmo2VyjTiddamUruHaI2Y6lnQG9VIup9vPP6HDTPyrercz323vn3RhZb0PWRhLBRMw1XiabhKQFUEFe7iFpZdrmipdWixHoQVR5gJhBUuZnxCW7MS4ZhgbAGHw+f+gRMX/gWvQRyRZSQ5uOPnObDtZZhGHIAbT32LE098gFx2YgxYNLaGvTf/Jms2PGdOk+BL3/1jhs7826yPXwqUBVuNGIuUrW+5wiCXs8eadp/R9RjevBZvFkRiq4jF1wViLLa2TpitxWgQvD5X8qP9XPj2HzI+epyiHsSFaBIiHnR07WPLM+Y/SYrnFijkb4SWqEGKVe1ClUVqpjWUWk2KJL2RtQ32VH0X676X04YiTPgei0naTP+dn9G54EF5kSfM0abnAzEPon5gBfRFGEtEJabIm/gybc9si3svVTSh1wg+kKTt4aaP/407PsnWrvYRW+3zeENRxjOisEyytoswZWd5qd+eZEwxDMyNU+Bm7xQZf2rrXtKHjronurpm1bnt1VmgohU3PkOfQQT6ApJy4L7rMDA2MV6pryBJzUN9UikluPlAHOVKAqpWMMn8CH4oomRhlPoKNYqFx08/hZ9+atbH79R0NkRinEoZXLByNQHOtpvhkZMf5clTn2Z38mb8/BCj2bMTziE0k207f5bt+365JbFBemR+H2y1A7JUBJXG7lQSiRGBJIGL4JgOA2aQzdCU0OdApxf8dpo+9OQDoeWJ2sWv2579ZFNSDEXF6FDjsgKGEScaW000FsaMJdYRT2wkllhHLL4udFdr/pFYfrSf4196BcMii1v3U501YTx3nNyXXsG+H/5k04JLSoks1TlychRy1ynkrgUCKj9AsTgUuDHZY9j2GI6TbvggYr4QEvRS2msJxRnM1sxChkJ+4vdzqbLelDyxqvn5wLNGoM+Z+gMeeADVCrBqYVbdlmYcYcaRZgzMWBiOYSGNCL5uInUTqen44eIRxCm5YXhFdQhGEGJh4/lhKEY5pMIuh2c0IilzJPxs066UySUstCCoc2hLD/zZWSmfHPzGgoitZlGWrSZZSMvW3z7yOh4d/U7T44UM8tE0K2SaGaO14jzM/n6eE3BuJhm4Ivu4e/vP1Ygry0i2jWvJbGhlvI703dD6NFwWUbUCqtYihTuzVPWtRphxpNBhBi5kxpqDmOtuQfou+C74Xtj2wHeDAFzfbbDfDfun2C+9mv7lTsaQnOiAK5Pc13UJKRfifuU73lmETRmIegKMSI3lTKu3sFVvl8aV25V92dEznP3S/U1f97Znf4BY1zZ8t4jvFfDdAtIrhNtFfLeA7xWQVfv9uv2V8aX9xZrxi/FgwRGS4cjUGb6EhJ4imE2kAZNVE01PmyjEvHnOJoYEI3xybQgLU49i6DEsPYEVFjfXjShCtxCaxcCF/+YGo9O+/9Wyg54N9yE9G98r4Dl5PC+P42RwvDyuVwiC86WDh1czoV4wS0eViKpZU7tdbWmSSIYiU7uRljD94HMwH0mzFguJ5Au9MGRNP7bXhh8dmvz9a0YMPdKJEekKl06MaHelLxqs9UgXRrQLw+oIXLwXiIkJwwIhdmH8GB978h1Nu1L+4IYXkLJ6yudxfTuMo7drRKBbvV3aH4q+yraD32QCi3bh6Rtewk/vfcu8v46ybC1heo2uGY3fWoR4O0nmSYSZLgx03cLQo5h6DNNIBOnIrQ4sq5NIpJtYpJdIpJd07imeOvfBpmrMxHx49r7Xs7b35vl9XwuIlJLMV98xpdACkHaa9JfeRuyuX4PCaCCmcg1ioQpjLKr1SehosW5ErBstXESsGy3egxbrmbjPiOJce5Kxf31F0y+ReMZvYq6Z/4yMUkooCzdvglibVrhVCz+vkZgLjrcvfBv3qcebvzA9Ur6uuZJ0BYeGYVdacrwTrtcZqTwBoyZkfOixYe8YdNtVkxs3ECgyH7h9zPY2LQEzDk4ToQqmBzE9iZVo5D7VGqSUSN8uizEZijG/Zl0SeeF2Sah5xWB8aYxXDPaVBF7N8cXg/7L03qSgpygZsxpPuE0fOuzmhBYEE1GdYFI/2X9OkEmssVXM0+YoUAS4eLjSA1kAfxxKVvosUC0+/MCiL6e5F0gBA3Kc0Uv/gay67gl/kvmqfFFViLWhmCqLqJkLIYGg025OcHfYQdydZtQ/raz8/k98xj7N9oRbR1VH3bmmjRGf8rXrzhWOFdLnGWM+/90b1J6bDMuHZ4xBou8Wurf8YFk86VXCauLfpb0QQgRzJc2guqpld3Qde1J/C+nT07pS7unYzk/u+e2WPmwOBGCdOCtb6Rr314i4uj5virEVi19lO20PU2wQVzwZMWMGKVwXACW22pAUEaJ+c8UsYz7EZjiH1oSBHgY0akJHExoCgZAytAI4+L6DdIsIqqxccqKAKi1a1TZMdg92wyU3RU+QLUk3E2wBTseCG+ak70XC5gJElvhTPCl9ZGEcvzCKLIziXDvcMNV3I7yR82S+OP9PcOoRVgIRCqVg6akSUFWCKtaDiKRmnCzEWHMAo29fU38HY/V+jNUHZvtWZoQQAkSY1GIeX8dcd9uMxGbniz+EueYmpGcj7RzSySLtcHFySDuLX7cdjGk8VtpZLF/S7YJnB7FC9RMdV4Mb0cDld/+YpK/Q2ifqAugpwI14E1adAqT/+82Y629D79yI3rkJvWMjeudGRLy3JRMPIUSYqSsCzK+Hg/RdfLdA5sbjnHvgjZhS0FuUOIIJMUtmlSWkZ/sL0COdoXWnGLrK2cF2KBSlV8T37dBiZwcC0rNraplpCLQw2VDD65tKjM3VVbHKlWsm4sgP3c9bjZhCPNVYpvRYmCAlQm32y6q4vKosmGJCtsxGWTQjFMYucP4bb2lacO983odJrFo+pUCyA09y+ouv4EeGJN/ubGzh6rUDodXlCjbc8RvL6v1D8Nvzo1t+matH3jSlK6Uh4Uc3/38t9+rRhI6l61iLFHJxfuwIH3y4+fvhwb72qr2pxFYbErE62GDDucj0QmO9Det6bmPL2mdhGjEMPVq1xDCMKIYWxQj3mXqs6QQPUnrYxVGKhSGKhWHs4nDYHiq37cIQxeIQjt26rHFSerj2OOvDG/blSGPhGfNhQxHWO3DqyQ+xeftPEE9uIp7YgGktXqxHJeZpFL8wFliYCmPIwmjYFwiqmn3F8Vmlum4pml4RTLGJgkkLhZSIdaNFuxBGZPpzzgEhBMnnvL0pV8rks393SbuMNkJfvR9N68b3p689pWk96H37AQLXq5gFsa5Zv7bjZDhz7BNcPPtPSOkTkbDKgaIIRJdT930cs+A7fbCKTm7y1tHrCKSdww9FHO7ss4OZPqzOwXC0sYXL9AKhZfog88PYZ/9n4iAjFgqwcOnYiBYKMi2xqi0LfQvNQLeSdGx4BrGefeSHjyMQQRKgSYyX8d79bHr67L8LUvpI36mIsxqxVqzpD/bZVftqtz23iOukKTppbDeN4+YCVz6/iOPbeDj4ix7rKTC0khtjHNNIBm6MZieRSBeRSA9WtBcz0hlml4xWZZesFkXNZZacLZGOrcQ6t8NY/7SCO9a5nXjvwjx4Wijiqw4Q69kHw8d5/pDkcgTOxYKHP5YP2/KwsRg8IIj37l927x+CecWJU3/F1iJcsUBouQkJMGJ+MCc8cerT7F5935w+j4FVUQaWSlm99sv7JX7ZUimlT8muWWqDDMdVnSPsq12H50SC9MvW0WB/sJ3wTZJYZJg+bjIlomxK7Z/1e58PlNhqQ7asvY/DZz/DtvBLNZnQWG9DVMKd+359XgraCqETifYSifZOO9b3HezCMMWyCBsOAowbtF0329TrmxI22ZDwYVyHtB6IL11CyoMOD3rcYNzI4GOMDD5WOdbqIJ7YSDy5ccLaivTM6EdIei6yGGbbK4umwDXPL4wi82P4hXBfKKbwFi6QeiqElQoE0wRrU0lAlaxR3Qgr1XaCxejZTupZ7yTzld9vKDo0rZvks35/SRc0lr4Prg2OA04R6Trg2PjXLhLNbiIXHQcxhSOe1IlmN8L1i7Bu69yuRfpcufCfnHryQ9h1BYYFsCq1nR+4+bdIe2keOfkxxrIXasYMMsYD+hib1j2DO/a+jd6O3eF7dJFOvsp6Vm9Rq7T9KuuaO3QGmb1RFly2BgWjMsmMusFka9pPrZvHGzqNN3R64j49gt6xoSzEtGpBllwTpPRfRIQQbL7n7Zz50v1TpsHXrdSchFbwWlqV5W7+cZ0shfx18rlr5LNXyeeeIp+5Sj5/LUyTPsRs3Z9NM0UktppItI9ovI9otI9IrGod65txoo7FpDsPBQmIyQW3kNDdHlnPW0rpO3D4y6+g38ySM4KEMeG8n4FYkChluxNnzxy/A/OJlDKIgfLyOG4eN4wjdNxcEE9Y05/HcQth4d8CmfxTDI4dJwpsL0JeTJwTxUIPo8GxY/zNfz8XTdODb09ZwDQQOhPEVNDfjqwRkGvCCLG6UGBw7Ni8zItni0qQ0SQLmSCjvqDtVF+qpVjQ1nML04qy7Pi5siiTBJm38lplkhXzS0/yZo6uR4nF1hCL9BLVU8T0BBFMoq7AdBxkcSxMJhFYoKSdaen7nw+M9XcQ3fuCWne+WHdQ5HcJ4w8+hfPZDyKLOXwtg6uPIHERGBheN5qfRETimP/rN9BWrWv560vpByLItcGxkY4NoRgK2kE/rhNsV/XJSY7Drd4ugjd1RJMnchSss/j6xIcUmpcgau9Al3H0u56Lce+LZv1ex0aOc+zx9zE2fHTCPsNIsHP/K9m846fKlnHfdzlz+Qs8euqTZAvXG55z+/of5vbdv0pncvOsrmmmcXsIrbUWYs1E71hftoKVRJjeuREttXZBA+fzo/1cfPAd5IcnutWWLFrznfp8ofF9l8Pf/R2uPfVA08esXfdMDt79h+htmmG2WaT0A8+H7CD2lUfIfeeDOFpzFt7IgZ/E6NlWk6Smeq1ZCTBiS2reMJLu5/PffDmOP3lZA1OL8aJ7/3LO5VB83w2ssG4ohrxcVTvod0JBVGnXiqZyf805CmXLkGJ2FERzRoibd/wid+5TRY2XHAsptiAsaPutV2B7k1uBLD3BC3/gk4teZ2k+GBk6wvcemMEkq0WI0CWjfol6YHmBm0JLXy/SEYiiaGfgmhftRIt14zt5ik/+c9Pn6fyJTy5IcoiFREqJ83fvR16fvuac6FuP/qO/gHCdihgqCSHHLluLKmKnTvg0ElGlc7UBEjm52Aw/k9r+Q5jP//kZn9sujnLqyQ9z+fy/0+iJ5oYtL2T3Ta+e1MLtekVOXPhXnjjzaQr2ROujEDq7N72Q23b9ConYmhldm5SSsX95edNxex0//jFkdgBv7BLe2GW88cv4Y5fD9pXWWpw1HS21riy+ymKscxNaat28POjwfZ/06f9g9PS/4zkZdDNJ164fI7XrhWja0rDQzJSZ3gvuftbCFDOdLVJKpJ3Bzw7i5waCdXYgXMJ2bhA/N9gw86mPZCACVxOVUiDrs9BXnOn9SSDMWF1m0LoMoeV6ffEGY6rWZmxeLYRSSj73wM8ylO2fdmxHdB2HDrwOr2QpqhI8gbUoVyOagjGFGgHl++3xu69ozHRGCIDdfc/k3rvfO+/XosRWi1loseUO93Pp31/Box1ZRhsEg3YV4fZ0gk0/9sm2d6GSvgdh+uTSUr3dqO0Mn+fxa/+PXBPzlZgL6zJg64Efe1EPapIUS5k9WvZGApelagEW8SDiBmvdiKPFSqKpCy0WrsvtcF8s6BOR1KRPxqsnmRJJ1oDRSJAFTPeD//+EG/joG6v30/kTn1pSTymnQ3ou3unDeP/5mcW+lCWEQNt7G/qt9yLWb5328+D7LpfO/Stnjn4cx5kYc9nRvY/9t7yBriYnrrab5ei5f+TI2b/FaeAqrGsW+7b+FLfs/CWiVldT54TWlUCQ0sfP3MAbu4w/frkiyEJR1tJyB0JDS66tiRPTOkpJO9bPKt7RHe4n89V3NBSeRt8+ks95e9vfC2aDlJIHv/yzpNPTT7RTHTu45wf/btF+C6VbCAVTSTQNlLe9qu3ZxjCOG5LHemk8J7DhtiHocBfjvU8u3DDi+FYEz7DwDAPXMPA0HU8TuJqGK4JEKy5euLg1ViLHzZEvDDGSWT51wxaCiB4naqSCxGcIBLL8LK3SlsEUqZz1MXQhlDJsl/aF2+Eiwtiq8nYYW1V9XE2ytDovpJq2ZOL4un0AI1YwB2qWfbGbuOe5n2r+gFmixFaLWWg3wuqJ9og1saBttz27ibaUEsJMg4RZqcpCp2q70i5MFEQNx00unGabijqvS050BwJjMnQf9o5AzJv4/n1krQDToVDVbnUdmUi0l1hiQzlJR02cmNU54/O5w/1c+9wr6I9lG4rOuAPb8wnWvrj9BXcjpOsgx4aQI4PI0QHk6GCwjAxAeqRBiuAljtDAtILFMBHlthW0DbNmWxay+E9+b3YvtXoj+m33ou25LTh3HcODj3H88T8lPTYxhsm0uth906vZuPVFs3paXbDHOHzmMxw7/894/kQBYxpxbtr+c9y07X9hmcmmzjml0Fi9n+Szf3dO3wEpZWBNKImvUIB5Y5fwxy4jnVYWCBVoydVVSTqqXRQ3IMyJxaBbWXNvKZIe7+d7X3vFlPG+hpHg7md/klRH69+/9NygrEbJApUbrLVEZQNLlCy2LlFUPeOG5FtrJianqcb04Qeuz05wVWeXdMP0/u4UbU8EWRHdBsfU71viyYJnhwQDgS4FhhToEgwJhh9YYnQ/2NZ9iSFluK7qrx4rIWPA9/uaf/l7r0OPvXz+8MOW5JszcIz4wfiz2PKc98zfBYUosdViFlJszTROwdx6L5oZD0SOV6zUuGkgiIKnt0vnvzyvS851MKnY2DbeWGjVI6wUItaJFu1Gi3ZCtBPXsihokqJwyPs5Cs44eXuIXP46ntva6uuGmQrFV0mMbSSe3EA8sYlItHFa6sWeYLQC6dihoKoSU2VBNUrbfBaFAMMqiyFREj6mhTAsMKuEUHmcWdUuiaTKOMw6EaXpM0vMMgM3ykmJJtAPPg391mcgOnoo5Ac4eeTPeerSFxsM1ti84yfZtf+VLcnmmS0M8Pjpv+Tkxc8FdcXqiJid3LLr/2Pflp/AaCK+RkqJe+Mo9rlvIItpRCSFte0+jNUH5tWSIaVE5kdC8VWxiPlhu9UxnVqiL7SClSxiG8g//Cm8kXMtf/i2lBi99HWOfO/3yIqJVqGEjHLw7j+ka9PM0j0HJTfGal35QiHlVYuo3DAL9lsl9KB8RqIvWOKr8H2PLw//a0OLVj1xF/aveja+GcF1s0EWyLLrXCGsbRTWN5KBNcnDx12hokgPBU1J4JTETr3wqRY/E0RRg21NtrYMhkTyjTWNrZr1dBXhvhvLr7D1TN7/89b/Ismnq5itJcdCiq3sdz9M/jHlPlViOjc6AL1vL5Gt91Vc9EKXPS3WhYh0IvTmA9mllDj2KLnMZXLZy+QyV8hlL4XryxOytM0VXY8SK4uvwBIWi2/g5JEPkhk/M+3xnd37edqzFy9JinTsUEQNhFaqKkGVGV24C+nbgL55V9lyVBFKdaJpghCKgD4zIbRQlBKEUJw8KBwrgti2H9l/LEi40eg8QnJlq885cRjPnzhZ7V51K/tueQMdXbtbdellxrOXefTUJzh75Ys0mrDGo33ctusV7N70wqbLUrQLUkpkcbxWgI1XrGOyMNqy12rWhSxy009jdG0K6sBpJuhG4K6smcFaN8N9Qbu8Tzcqx5T36eFxi5uRsWTZ8+3xSe8FmtVRtuxJKZFOrjYWKlcdF1WJl2pFEfBmEdFutP+/vfuOj6LO/wf+mp1t6aSRAiEBAhGkC9KbEAOIByqCB1+KICcWOMsPT2wg4iF4inoneni04xAbiIrAyaGggEiJdAi9CMFQAqlb5/37Y3YnO9lN2MBudpO8n4/sY6fPZz5TMu/9fOYzYXHyJzQOmrD6Sj9ComDW6WCCDSbrdZgs+Sg1X0WpOR/XCk/i/OWbK+WuFeSacF6LKwUalFYQCJULrmpSQOLv0s1KKdcC5zVFV3b9EHUu/Z6GO68xjmuPqHO55nhaprofGi3s188hd+tsr7c/5Q8Lq+U5dg62fKw6g62izXNgOvSlX9fhc4IGEA0QtI6PaAA8dWsNXk1nL8hFyc/veb366mwgwmYtQknxeY/BmKnUc6ts/tal70LUi/Hf9pPF7CGgkkurUHTdtysLCYdQLw4wGEGnj3g9m27kU9DcYtPnwUi6nAvb+o89lnAJiY2gzfojNHFJILMJ0sEdsO/5SQ50Ha4Yr+F47CmU6NyDLIMxHhmtJyMp5W6/B5tXC45jd86HOPv7Tx7HR4aloEPzP6FJcv8a0xz3jUjmQkgF59XPhzm6qfSq18sJ6E0WIF/fnQGa602URqsO0soFbILHwK5ckKfRlt1YuczjnI80WpRsfx/S9XM3LNkTdKFASAyo5Apgq+QHCl9njz7METzFO4KneAghsbCFhMOi08OsFWAWJJhsBSg1X4XJ7AikLPkwma+i1HIVVh/XpggEQRChE0OUd3zqNAZoBT20Gh20EKEVtNCSxlG1zlGFTiKIdjtEu03+WC0QbRaIFhNEiwkaSwmuiRZsqUIVMr9XoRM0jo8ICBrHi+5FQKNx9IuOc0YDQP5WhgkaOXCBIP+I4bIswTmPUPZxzmfLPwXp2pnKf3QxA+2vytcAbfIdMDTp7TnIKRcIVRQ4qc7hAF+TnY/XXM0/dMPtj4m5vdpK+DnY8rEaV7Kl0cmBjSOI8RTouI6rdDrX4Ehr9DhOPhl9WGRexVbIgqXqjN1uRmnxBZdA7DdHYHYOpSW5HqtT+YLeUA+R9VrAEBLn8j6ZOBhC4mEwxsNgjJYv2pUgs0kVRLlW/UOxj59FCA2HUC8eQnSc/F0vDkJ0PISoWAjGUDk9VWmNMLERdCOfDopjwB+ICHTxDKTj+0GmUgjGEGjSW0NITHXbZiIJdOYYirK/xdGiDbgc5n5TL5CAlKKGaJJyP/Tt+0ETU7VWAm9FXv5+7DryAXKv7PY4PiayGe7ImISU+t1r7f4EAMlS7AjEXIIwR+uJUnFZsFzXqw85BaRxCFHvCKLkAIpCY2A1hsGs18Oi1cIiAibBCpOtSA6gLHJJlLPbX9f7WyVAA602RA6MtCHQiaFycCSGlg0XQ6DTlu8vG+6cV5lONELU6P1yzprP/4o1v0zy+hwY0Pz/QR+bLlcPdwZE5QIbCIIjuBHVwY4qcHIOK5tHCa6qmevjJTf60QGonS0Uu5ZwV7T9riXc1YGDLR8L5me2IjJfhzaxVVngJOoDXu3DF2rbQ+GSZIOp5HdVlUQlKCs+D8nuw9bQyhEEEXpjDAz6WBjECBgoBAa7DnqTAH2xHfoCEwzFNmgl0Xc3amGRchDlDKScQVW9OAgG796B41U1OkOI396zVRPZ7SaczFmGUznLIHlooCKmNArNrjRGqK2sIQYhNUNuUKNxSwjV0IQ4EeHC5Z3YdeQDXL5+yOM0CdFtcMdtjyMptr0yz6VrB3Dm4o+wWAuh10UgNbEX4uu1qpFBGRHBai+B1VoEi60YFluxo7sIZlM+zEUXYC7JQ35eNs5rvK+6nFgChNjVz444nzlxPp9yo0+wBWs+L9kTNNCExkIIjYU9NAbWkDCYjUa5FEoUYBbsMMMCk60YpRZHSZQlHxZrxf+LgkmjhJ5onnKvIwgqC5TKgiJDjTpniAjnVo3EJt3JGx4DfWxNkXJf4Fqk9Jea+gO0r/m7saSq4mDLxwLVGuGN1OaTCpBPrMLvX4PdQ16I8S0QUUuaOyaSYDZdVqok/nbqa1y7ur/a06GRBOjtehgcH73NtVundIvkCObDoxwBlLN0yqVbX/XmrT2RLufCun45rl87jMshV2ET7dDaRcSVxiAquiV0WSM50IJ83ci7sBmH970DU0mu23ijNgbNijIQe5EqvpmOjIHYrgfEVp0hhIT5OcVyms9c3IzdOR/iWtEpj9M0iO+C5in3Yv+J/+DydffrQFxUC/Rq90q1vm9QIjusthJYrEWw2opgcQZM1iJYbcWwuAxzBlBl3fJ4q7U4aF9wqoEAERr5QxqIjlbV5GBMgEjkCN4IGkdrahpJgmiXIEqSVwGdxsvArqolez2u6GCPbghrSAQshlC5FEonwixIMAs2mCQzTLZC+ZkoS35A36kkQAODPgohhliEGKJh1EcjxBDj6I6Ru/XRKDZdwsbdf/F6ufd2X4j60bWvVKO2vA7nZtW2H6BvVqAaS/KEgy0fC8R7tvikctxor1sO++XDbi90FeNaQDdwVK280a7qizw1ECGh+qqsaMVQGELrwxhSHwZjHIyO6orGkHgYQuIcVRdjfdLgQWHBSezfORMF19xvtCPrtUDrTq8EbWuMvkJEuH71AH7P/RE2SyG0+ggkJPVCVIxcqlNUcBqH976FK3k73ObVaAxoctsYNG7+f9BoDKALp2D/9SdIx/YCUgU3+1odNLfdAbF9D2jqN/Tz1snBy4nz/0V2zgIUlboHijei10VgcLcFXgVckmRzCYaKXAKkYmWYOkAqVk1vtRbDaq/5z9cEC1HQQdTooBV0EDVaiNBCK2ghClqIgghrySVcEmpGiRIAiBqDI2CSP84AqiyQKus26COhuUH1bkA+/7/e8rDHHxvKi4tqiT/0CFyDSf4k//g6E5euH3arQhZfryUi+taOH18rE2wlO4FARKDcM5BOuFSrb9oaQpJ7tXp/42DLx6o72ALqTqlORWp6FTIiAux2wGYBbFbAZgU5vmGzAlaLut853mqBlH8JO68vRqGh4mbfnSLMYeiQ2wqSIMGstcAsWmERLY5ui9zt6LeIVpBQXae8AL0hWgnEPD1PZgyJh04fVeHDt4UFJ/HLpj/BVkn1Ha0uAp37LKi1AVdhwUns3zUTBfmegs0MhEemI/fceo/PhyQk90FGmz8jNCzZbRwVXYd93zbY9/1c6TN5QnJjuYphs7YQRP9WT7bbLcg5+xX2HF+EUrP3DUgAQJgxAc0aDpar5rmVNpV1e3r3F2MVE2DUR5UFTYZohOhjygVQZSVROq37e9J8Ib/wJNZs+1OlVRmr8qNDTRVMpRqBIkkSbIc2wnx4HchSBEEfDkOLgdC27AdNNVQDD6RKG4xKSIF2QPXWdOFgy8cCEWzV1VIdwD+NI8gvdLYrgY5b8GOzgqwW9+CnwmDJw3irenm38m6WYl0JshMPwCZWXGKltYvocLEVwqyhN1iaAERGA/ViYYsKgyVcB7MRsOjsMAulMJuvwGy6DLPpMkyleT5v3r7SlAlalwCsLCDTG2JxMmcJSorO3nAZgW7+3l+8CTY9CYtIQ4u2zyAuofMNpyW7DdLRvbDv2QK64Lkqn7zQSIhtukFs2w1CmJ+fW7WV4tDpT7Hn2FLYalEpkk4bBr02HDqd/K3XhkGvC3cMc/S7jteFo6jkIn7c+6rX6+jb4XVEhTWCzW6CXTLDZjfBZpe/7Y5vm2SG3W7yOE6ex6weLsnfdsnix9ypPqJGD6MhxhE0RVcaQBn1UUHzSoL8wpP4cc/MCqrTtkSvdi/X6kCLBV+wUZ2C8Qd4DrZ8rLqDrWA8qHyJSAJsNjkgscvf5PiGzQYp7xzs36/yenlCSjMIOp2jZKjiYAk17HAv1pXgcNxxjyVcEeYwtLicXhZoCQIQGVP2DJXr81NRsRC03t8wSJIVZtMVmEsvwWS67Pi+BHOpa/elSl+4XN3qxbSB3lAPgkaEIIgQBC0EjQiN4OwX3cYJgjwegkaeTqP1MK3oWE7F4wSXdWhc1+FxOer1V1SqR0T4+YeHPZZoVUTUhiK9xQSkpo+ARuPhTeA3IP1+Tq5ieCRbPi890YjQNG8LsV1PCMlpfg1wtx+ch4OnPvHb8r0lCKIjUCoLjvS6cNUwnWOYM2BSxjuDKW3oTTWfHExVyCSyO4IysyqYU4K4Gwy32c2ex0kuwZ7jW6Kbe/9VmDEB9aNbeX7+yfFclE4bVmN/mJEbijmIMxc3uzQU0xvx9epOyU5dVdvvCysTrK0Tc7DlY9XdQIa/Dyol2LGXBTzkCHRgl7/J8V1RQFTRdOQyvTKfMr1jWik4m8QNRgRCgb4Il0NdGocoiUGkJVx5uFzTuiu0/R6o0subfcFmK4G59HJZIGa6BFPpJaWETB52GVIt+UXcPwSPgRsgwWrxvsn9uIQuaHXHyzCGxN1yiqikCPYDv8C+dwtQUHEpp1C/oVzFMKO9/JJoH9u67w0cOXtr7xzUaHSqUiTXoEhXLniSg6Iw6HVhLqVN4dCKxoDeyNbFKmSSZINNMuP3K3vw3c5nvJ6vNjYOwViggg2lRpDdLn+7dJPdXvG4CobDXsk412VKdsAuyS8dt9tBJUWg3NNep7u63rvpbWwQHGXjTIVyz3h1QgEAXTwL69cLIehDvAx2HN92DnZ8RqMBtDrHRw9B6ZY/glYH6PTqfpdh7tPrIV27DPv/PgMgt9YVZYlAlCWiwiSIrTtXe6AFAFptKLQRjRAW0ajCaYgIVkuBIxC7DLNJDsLkoKys5MxsugoEaets/kUgsoHIdkubH1GvuU8CLQAQQsOhvbMfxI59IZ08CPuvP4HOHnWbjvJ+g+2/K4DNX0Fs3QVi2+4QomJ9kgZADiCqoklyJlo1GaUqgRJF3weB1S06ogkGd1tQp6qQaTRa6DVaNKzfDXFRLbwu2Yuvd3s1pI6x6iVdOFW1+8JVC+RXrEiSI4ixKd1QdZcLfsoHQVQz/ydLx/dXS7DlLQ62gpB0ompNftPxA7fwZFAtJLgEPzpnMOMp2HHt9zDeGTzpPARPWn3Z/H54p5nQqBmk/T97/SuWkJjq8zT4iiAI0BuioDdEISIqvcLpJMkGizlfqaZ49sRKXMn7pRpTWrPZKmm59GYJGg3E9NYQ01tDunIR9j1bIB3cCVjLNTJhKoF95/ew7/oBmia3Q2zfE0Kj5rf8y2pqYi/sO+H9C95vb/wQ4uu1uKV1BqvoiCb4Q4/Fda4KmSAI6NXuFa9K9nq1e7nW5gOrfYgIMJWASgqB4kJQcYGjW/6mYkd3cSFQUrXrO50+XKfvC8lUSVXLAOBgKwgF20Fy07Q6QNQq34JWC4g6QOs6zGUarRaCYzyVFEM6sN37Vd03EZoGTeXgx88tplUHQRCgHTDSq/rZ2qw/1oobDI1GC6OjhcIoAAZDTJWCrU4930dkveYgskOS7CByfCSbo1tyGyaR/Kte2XC7o5RJUg2TyOYyvvz0ZR/P6/ViWtW65W6T6QpsVu+rEWr1VSsFqipNbCI0/YaBegyGdGinXNqVn6eeiAjSiQOQThyAEFMfYrue0NzeCYLeu5dYlxdfrxWXargQBAH1o1vVuWpydbFkj3kWTM1+V4QsZveAqUQOplBcWNZdUsi1jPxEMPqnVdCbxcFWEPLZQXILwY7rdILLMuSSHZfxjm95OS7DRPGWLnxEBOul816X7GgatwyaC62vaOKSoHtoSsUtDyU2gjbrj7XuQVinqJhWiIxu4VUDEVHRLRETf0etOgauXdmP7VV411pCcm8/pqaMYDDKz2m16w46cwz2PT9BOnEQ5VvepKt5sH2/EtiyBpqWd8rv7IpJqNq6uFSDOdTVkj1WpqKW+Ow7Nvq9JT6y2QBHkOQsaSrrlr+dpVKwBvkzyhpR/oiu3xr5Xk8jd6Nct1B+uKgBNHK34OwW3ecVNKKjX+MYX9YtaLSO5bhM4+gWNOrhUt5vsH0+3/tNTG/txwysOm4gw0vV2UCGdOE0rCve8Xp6cfAYiElpPg12gkFdbnnHFRGBLp6BdNzll7z01hASg+eXPH+py+/ZqkprhIFu+p6uX4F9z1bYD2wHTBU31S6kZsilXU1ayv9MvcRNXjNWt/njfoAkCSgtKitxUqrxla/SV1Tpdc2vtHogPFL+wfuy9y981w4ZD01iqjqocgZANfC+gVsjrCNqW2uENUWl75So5SU7TFbZS32joluiVceXa12g5VTTgk2yWiAdyZarGF46X/GEkTEQ2/WA2KozhJAw75bNTV4zVidV6Z4ooRG09/8JKC1SnndyVtlTdxcApcWBeR2MRgTCIiCERUIIjSjXLX8LYY5uvQEA3xcCwfkDPAdbPsbv2Qqculyyw2REhOv5B/H7hc2wWQqh1UcgIbk3oqJr/412TQw2iQh04ZT8zq5je+WWrzzR6qC57Q65imH9htWbSMZY0CNJgnQmB7ZV/wx0Um5AAELDy4Ik14ApVA6mEBYhB1TG0Jv6v8X3hcH3AzwHWz5W3cEWEHwHFWMsMGpysElF12Hftw32fT/LzzNUQEhuLD8L1qxNQF5jUBPUhMYBmH/V1GOASALMJrn1PVMJUFqs/jbJ31RaXDaNqQQwlaL886DVyhhaVuLkDJacJVFhEUCo4zskzC8tE5fH94XB9QM8B1s+FohgCwiug4oxxm4W2W2Qju6Ffc8W0IVTFU8YFgmxTTeIbbpCCI8qm7+G3mT6SqU3WX5uHIAFh2A4BogIsJiV4AilJSCTI0BSAqVy/aUlgLkkMFX2PNHpPZY4Kd3OKn2hEXKDYEGG7wuDBwdbPhaoYIsxxuRqeXmQjp8BmcwQjAZo0lMhJNevkf9cpd/Pye/sOpItv3zdE40GmmZtIbbvBdIbYP/vijobaHD1IVldDrh9fQwQEWCzlAVLpSWqEib3kqeyIKrCasHBol4cNCnNXEqiHKVSYZFyAOV4DoqxW8XBlo9xsMVY4NS2YKMqpEtXYVu7GXTxsts4ITEO2kG9oYmPCUDKbh2VFsO+fzvse7cABfkVTygIlf8qXosDDX4wXhYMpTqBUqVjIKY+NN0GQTCXVh5EmYqD9x1PGlGulmcMBYyhAAA6f9Lr2XUjn4ImKc1PiWOsDAdbPsbBFmOBUZuDjRuRLl2Fdfk3gLmS97YY9NCNurdG5wFJEqSTB+VWDM8evallCLGJEAeMhBJmEAEg+XEP127n8x+VjifHn8swKtcNqOchl+HejldN53m8dP0KpOzNXueD2Pd+aOKT5ffTiPK7bwRnt1Zb9u4arRaC4H3z+4FUk0r2iEgu+bFbAZsNsFlBNitgl7thswJ2q/zeJpfhZHNMb3dMY7OBHMugwmugc8cCul03RdDIzzwZQ8uCpxBHvzFMPdwYBiFE/oZOr/rBgH9wYMGKgy0f42CLsepXV4INT4gI1n+v9hhklickxUM3ekituMGQrlyEfc9WSAd3AFZzoJNTu2kcLyPVapUXkQrObueLSR39giNw8xjEqT6ehpcfJrosUz1MeaGpw83caAMAJLsS7MjBjVXVD5vNLQgi14DIEfhQ+QCownlcll3rbqsEwBgiv6bBGArB6PgOCS3Xr/6G3uiza1JNCrhZ3cHBlo9xsMUCpa5VoSMiwG4Hma2wfboWdOnqjWeKioDYrb26VKOCEglSSjLgXppQvpTDU2mG63Tlh4Hk9Jdft4fpPI9zWU6JCfTbRa/zTTd6CDTJ9b2ePtiR2QTrN4tBZ3ICnRRW3QRNWQAGQW5cwVuiCNglBLQFu2BmCFEHRuUDJ2V42TgYQ4KiFJRb4mPBxtvYIPiaWWGMKSqqQmffvjdoqtCR3Q5YrIDFCrJYAavNpdtluMUGWJ3d1rJuqw0wW0HWsuGQqnijdL0Q9nU/+mcDawjp2OlaFWwJBiOEqFi+Za6LSJIbb7DdxLzB+hxSNRIaNYPYspNL1Txn4BRSLc2T+4smLgm6Uc9wS3ysxuFgi7EgdaMqdHTxMqzLv6lSFTqyS+UCIGfQY/Mw3AayWNyDJIsV5AioYLEGf8tUdQSZal+VO8EYUrXpE1OgadBUblADAuSiTtdvx81Ylce7Dld/CzcYf6P5lWk8zgdQ/iXYt3zrdR5o2nSDEBouV3Wz2+QfQxzd8scuV31zdLuOIw/D+Pz2RAC0OrmKpVYHaHVylUitzvE8nA6Cc7xY9i24ziNqHf1l80DrGKaaRwvpyu+wfbnA69Rpe9xTaxuIEAQBQlJard0+VjtxsMVYECIi2NZurvxZJQAwW2D9bB00LZrKzwwoJUzlgiero2SJf/WttQRj7WvOWNO0New7Nno9vfauB2rdTRgRQTq2z+tnlrT9H/TpL/wkSY6gyxGE2eRucnY7x9lsLkFcRcFdWTDnKbDzOKzomuPFtl4KjYAQHa8OgJyBjOgaALkGNy5BU7kAyT1w0gEaTbWWomgiYyAkpHh9DAiJqdWQKsaYtzjYYqyayC+DtAKlJlCpWfmmUlO5YSZQQRGQX+DdgotKIO3c79/E+5NWBHQ6QK+DoNcBOi2g14GuFwH5171ejNAkBeJtTdSlEa4lF6rSBKhKD5zdgrPb47Qe5lGtw9O0ZcsQPM2Litcn5V6C7fP1Xm+/plma19PWFEJSap2/yRQEAdoBI71qHECb9UefBwGCRgNo9O7DfbqWikkXTsO64h2vp9cNnVDrAu5AHwOMsVvDwVaQq2uNI3gSjHlARIDJGShV9K0OoFBqrvlVckQR0GsBnSMw0usc3XKABL0Ogs45XAtBr5endx2u10HQuUyv8fzgtXT+d1j/87XXSdN271CrnlnSNG4IITHO69YIhaT4akhV9eKbTJkmLgm6h6bUycYBOOCW1eVjgLGajlsj9FIgWiOsy+8XcqqOPCC7BJhMoBJTWQBVYgaZHIFTiUke7xo4mSzB37yvRgD0evfgxhEgQa9VB0DKcEfw5Fra5AyexOp7uLquNn3uqi43fe+KWyGTEVGdbByAm/0uU1ePAcaCETf97mPVHWzxTdbN5QFZbXJAZDIDJc7AyBEwlcoBlDqoMslV+4KNRqhSi3ya25tB7NymLDDS66o1MPIXPg9u8INDUjy0A3vV2m13xTeZdRsH3IyxYMPBlo9VZ7BVE37RJ+c7gSTnt1T2niDJvZ9IcpmW5KZ9nf3l5iGJQJId9u9/Aa558dySVgSMBvmG3HozbQX7mUEPhBghhBgghBgB5VseJn+7DjeAfr9SpSp0te0dS6442HAEGrmXIB07XVaVtlmaXH2QAw1WR3DAzRgLJvyerRqMLuR5FWgBAOVegvWzdXJLZK5Bj+R4uaozsFECmnL9pA5y4HGecoGU68tcg4HNDhRV4aWXN0sQAKOhwgCpwgCqgmeSKpVcv84/r+OkiY+BbszQOh1sCIIAIbl+rQ2oGfMGN/vNGKuJONgKQtLxM1Wank6f5xd/VpVGA4Qa5SC1wsCpXABlNFTbjb0gCNAO6u1VFTrtwF61PuDgYIMxxhhjNREHW0GoNr6c1O90WgjRURVWzVOGhRrlKod6XdAHKJr4GOhG3Vvnq9AxxhhjjNVUHGwFIb+9nFQQ5IYXBEEu2VH6NWXDHeMEVX+5aTzMI7hNo1Gvz2U+4UbTaDSQTv0GOpvr9aaJd9wObe87/ZNvAcRV6BhjjDHGai4OtoKQJj0V9u17vZ5e+8Dd0CTGVxpI1bSbciklqUoNRNTGF7o6cRU6xhhjjLGaiYOtICRUsXEETdNGNS6YupGq5kFtbiCCMcYYY4zVTDfRTBrzN2fjCDDoK5+wFjeOwHnAGGOMMcZqOg62gpSzcQQhMc7jeCEpvla/yBXgPGCMMcYYYzUbv9TYS9X5UmNX/DJTzgPGGGOMMRZc+KXGtQQ3jsB5wBhjjDHGaiauRsgYY4wxxhhjflCngq358+ejcePGMBqNuOOOO/DTTz8FOkmMMcYYY4yxWqrOBFuffvopnnrqKbz44ov49ddf0bNnTwwcOBBnz54NdNIYY4wxxhhjtVCdaSCjc+fO6NChAz744ANlWIsWLTB06FDMnj37hvMHqoEMxhhjjDHGWHDxNjaoEyVbFosFu3fvxt13360afvfdd2Pbtm0e5zGbzSgoKFB9GGOMMcYYY8xbdSLYunz5Mux2OxISElTDExIScPHiRY/zzJ49G1FRUconJSWlOpLKGGOMMcYYqyXqRLDlVP6dTERU4Xuapk2bhuvXryufc+fOVUcSGWOMMcYYY7VEnXjPVlxcHERRdCvFysvLcyvtcjIYDDAYDNWRPMYYY4wxxlgtVCdKtvR6Pe644w5s2LBBNXzDhg3o1q1bgFLFGGOMMcYYq83qRMkWADzzzDMYPXo0OnbsiK5du2LBggU4e/YsJk2aFOikMcYYY4wxxmqhOhNsjRgxAleuXMHMmTORm5uLVq1aYe3atUhNTQ100hhjjDHGGGO1UJ15z9at4vdsMcYYY4wxxgB+zxZjjDHGGGOMBRQHW4wxxhhjjDHmBxxsMcYYY4wxxpgfcLDFGGOMMcYYY37AwRZjjDHGGGOM+QEHW4wxxhhjjDHmBxxsMcYYY4wxxpgfcLDFGGOMMcYYY37AwRZjjDHGGGOM+QEHW4wxxhhjjDHmBxxsMcYYY4wxxpgfcLDFGGOMMcYYY37AwRZjjDHGGGOM+QEHW4wxxhhjjDHmBxxsMcYYY4wxxpgfaAOdgJqCiAAABQUFAU4JY4wxxhhjLJCcMYEzRqgIB1teKiwsBACkpKQEOCWMMcYYY4yxYFBYWIioqKgKxwt0o3CMAQAkScKFCxcQEREBQRCqff0FBQVISUnBuXPnEBkZWe3rDwZ1PQ/q+vYDnAd1ffsBzgOA86Cubz/AeVDXtx/gPAiG7SciFBYWIjk5GRpNxU9mccmWlzQaDRo2bBjoZCAyMrJOnlSu6noe1PXtBzgP6vr2A5wHAOdBXd9+gPOgrm8/wHkQ6O2vrETLiRvIYIwxxhhjjDE/4GCLMcYYY4wxxvyAg60awmAwYPr06TAYDIFOSsDU9Tyo69sPcB7U9e0HOA8AzoO6vv0A50Fd336A86AmbT83kMEYY4wxxhhjfsAlW4wxxhhjjDHmBxxsMcYYY4wxxpgfcLDFGGOMMcYYY37AwRarM06fPg1BELBnz55AJ8WnNm3aBEEQcO3atUAnJWiNGzcOQ4cODXQyAiotLQ3vvPNOoJPBXAiCgNWrVwc6GXVGXcvv8te9Pn364KmnngpYehjzh5pwXnOw5Sfbtm2DKIoYMGBAoJPikTcX3by8PDz66KNo1KgRDAYDEhMTkZWVhZ9//tln6ahNN8Hnzp3DhAkTkJycDL1ej9TUVPz5z3/GlStXvJo/mIOmcePGQRAEvPHGG6rhq1evhiAIAUpV9XLmgSAI0Ol0SEhIQGZmJhYtWgRJkgKdvKBRm85pb7geF66f48ePBzppQcWZT5MmTXIb9/jjj0MQBIwbN676ExYk/HHP8O6772LJkiU+W54/1fXjo65dNytTG/OCgy0/WbRoESZPnowtW7bg7NmzgU7OTXnggQewd+9eLF26FEePHsXXX3+NPn364OrVq4FOWlCxWCw4efIkOnbsiKNHj2LFihU4fvw4PvzwQ2zcuBFdu3atkXlmsVhU/UajEXPmzEF+fn6AUhR4AwYMQG5uLk6fPo21a9eid+/e+POf/4zBgwfDZrMFOnnVzmq1BjoJN82XaXceF66fxo0b+2z5rvyZ5/7enykpKfjkk09QWlqqDDOZTFixYgUaNWp0S8uuycci4Nt7BrvdDkmSEBUVhXr16vkmgdXAn8cHY4HEwZYfFBcX47PPPsNjjz2GwYMHq35ZWrJkidvFz1PpwKxZs1C/fn1ERETgkUcewfPPP4927dop4z2VTA0dOlT1y8/8+fPRrFkzGI1GJCQkYNiwYQDkXw02b96Md999V/kV9vTp06plXbt2DVu2bMGcOXPQt29fpKam4s4778S0adNwzz33AACuX7+OP/3pT6hfvz4iIyNx1113Ye/evcoyZsyYgXbt2uGf//wnUlJSEBoaigcffFApuZkxYwaWLl2Kr776SknHpk2bAADnz5/HiBEjEB0djdjYWAwZMkSVRucvH3/961+RkJCAevXq4dVXX4XNZsPUqVMRExODhg0bYtGiRW7758iRI+jWrRuMRiNuv/12ZZ1Ohw4dwqBBgxAeHo6EhASMHj0aly9fVuX9k08+iWeeeQZxcXHIzMzEE088Ab1ej++++w69e/dGo0aNMHDgQPzvf//D+fPn8eKLLwIAzGYznnvuOaSkpMBgMKBZs2ZYuHAhTp8+jb59+wIAoqOjVb/imc1mTJkyBfXr14fRaESPHj2wc+dOt+3aunUr2rZtC6PRiM6dO2P//v2q8du2bUOvXr0QEhKClJQUTJkyBcXFxcr4tLQ0zJo1C+PGjUNUVBQmTpyomr9///5ITEzE7Nmz3dbttHLlStx+++0wGAxIS0vDW2+9pYybNm0aunTp4jZPmzZtMH36dKV/8eLFaNGiBYxGI2677TbMnz9fGeesCvrZZ5+hZ8+eCAkJQadOnXD06FHs3LkTHTt2RHh4OAYMGIBLly65revVV19VjtdHH31UFVASEebOnYsmTZogJCQEbdu2xRdffKGMv3jxItavX4+9e/diyJAh6Nq1K7p3746vvvoK69atU87zG50XAPD111+jY8eOMBqNiIuLw/3336+Ms1gseO6559CgQQOEhYWhc+fOqmPUeQ1Zs2YNMjIyEBoaimHDhqG4uBhLly5FWloaoqOjMXnyZNjtdtV6CwsLMXLkSISHhyM5ORl///vfVeO9PacXLVqEJk2awGAwoLK3h6xfvx49evRAvXr1EBsbi8GDB+PEiRNu+3PVqlXo27cvQkND0bZtW1XpuXOdrt555x2kpaUp/Tt37kRmZibi4uIQFRWF3r17Izs7WzWPIAj48MMPMWTIEISFhWHWrFlIT0/H3/72N9V0Bw4cgEajUaXzRpwl/64fURTxzTff4I477oDRaESTJk2Ua5Sr3NxcDBw4ECEhIWjcuDE+//xzt/z57LPP0KdPHxiNRvznP/+pEXniSYcOHdCoUSOsWrVKGbZq1SqkpKSgffv2yjBvj5vy+QLIQYvzGpSUlIQnn3xSlYbLly/jvvvuQ2hoKJo1a4avv/76lrbJFyq7Z3DWePj2228rvL67XhNatmwJg8GAM2fO1LgSAl8dH3fddZfbfr9y5QoMBgO+//57/2/ILfJU5btdu3aYMWOG0i8IAv71r39Veizf6F6mJvAmL1wF7b4n5nMLFy6kjh07EhHRN998Q2lpaSRJEhERLV68mKKiolTTf/nll+S6K/7zn/+Q0WikRYsWUU5ODr366qsUGRlJbdu2Vabp3bs3/fnPf1YtZ8iQITR27FgiItq5cyeJokgff/wxnT59mrKzs+ndd98lIqJr165R165daeLEiZSbm0u5ublks9lUy7JarRQeHk5PPfUUmUwmt22UJIm6d+9O9957L+3cuZOOHj1Kzz77LMXGxtKVK1eIiGj69OkUFhZGd911F/3666+0efNmSk9Pp5EjRxIRUWFhIQ0fPpwGDBigpMNsNlNxcTE1a9aMxo8fT/v27aNDhw7RyJEjKSMjg8xmMxERjR07liIiIuiJJ56gI0eO0MKFCwkAZWVl0euvv05Hjx6l1157jXQ6HZ09e5aIiE6dOkUAqGHDhvTFF1/QoUOH6JFHHqGIiAi6fPkyERFduHCB4uLiaNq0aXT48GHKzs6mzMxM6tu3ryrvw8PDaerUqXTkyBH6+eefSRAE+utf/+rxeJg4cSJFR0eTJEk0fPhwSklJoVWrVtGJEyfof//7H33yySdks9lo5cqVBIBycnIoNzeXrl27RkREU6ZMoeTkZFq7di0dPHiQxo4dS9HR0Uo+//DDDwSAWrRoQd999x3t27ePBg8eTGlpaWSxWIiIaN++fRQeHk7z5s2jo0eP0tatW6l9+/Y0btw4JZ2pqakUGRlJb775Jh07doyOHTumjBs7diwNGTKEVq1aRUajkc6dO+d27O7atYs0Gg3NnDmTcnJyaPHixRQSEkKLFy8mIqL9+/cTADp+/Liy3AMHDijbTES0YMECSkpKopUrV9LJkydp5cqVFBMTQ0uWLFHtw9tuu43Wr19Phw4doi5dulCHDh2oT58+tGXLFsrOzqb09HSaNGmSKv3h4eE0YsQIOnDgAK1Zs4bi4+PphRdeUKZ54YUXlOWeOHGCFi9eTAaDgTZt2kRERFlZWQSA2rRpQ9999x0dP35cOW7atm1LAwcO9Oq8WLNmDYmiSK+88godOnSI9uzZQ6+//rqSjpEjR1K3bt3oxx9/pOPHj9Obb75JBoOBjh49SkTyNUSn01FmZiZlZ2fT5s2bKTY2lu6++24aPnw4HTx4kL755hvS6/X0ySefqPZvREQEzZ49m3Jycui9994jURTpu+++I6KqndNZWVmUnZ1Ne/fuVa5t5Y8VIqIvvviCVq5cSUePHqVff/2V7r33XmrdujXZ7Xa3/blmzRrKycmhYcOGUWpqKlmtVmWdrtc+IqJ58+ZRamqq0r9x40ZatmwZHTp0iA4dOkQTJkyghIQEKigoUKYBQPXr16eFCxfSiRMn6PTp0/T6669Ty5YtVct++umnqVevXuQt1+11tX79eoqMjKQlS5bQiRMn6LvvvqO0tDSaMWOGKk2xsbH00UcfUU5ODr300kskiiIdOnRIlT9paWnKOXH+/Pmgz5PK8untt9+mfv36KcP79etH8+bNU/3/8va4KZ8v8+fPJ6PRSO+88w7l5OTQjh07aN68eartbdiwIX388cd07NgxmjJlCoWHhyvHd6BUds/gzfXdeU3o1q0bbd26lY4cOUJFRUVux6an+4Zg4cvjY/ny5RQdHa26d3n33XdV+RpsXPdVamqq6rglkv/HTJ8+Xem/0bHszb1MsLqZvPjyyy+JKHj3PQdbftCtWzd65513iEgOWuLi4mjDhg1E5F2w1blzZ3riiSdU03Tv3r1KwdbKlSspMjJS9Y/VlTcX3S+++IKio6PJaDRSt27daNq0abR3714ikv+RR0ZGugViTZs2pX/+859EJN8kiaKo3JgTEa1bt440Gg3l5uYSkecblYULF1JGRobqxDCbzRQSEkL//e9/lflSU1OViysRUUZGBvXs2VPpt9lsFBYWRitWrCCisn/Qb7zxhjKN1Wqlhg0b0pw5c4iI6OWXX6a7775blZ5z586pAoLevXtTu3btlPHbt29Xnezlvf322wSAfvnlFwKgHAvlOf+p5ufnK8OKiopIp9PR8uXLlWEWi4WSk5Np7ty5qvlcb6yvXLlCISEh9OmnnxIR0ejRo+lPf/qTan0//fQTaTQaKi0tJSL5ojZ06FCPaXPdT126dKHx48cTkfrYHTlyJGVmZqrmmzp1qurGrU2bNjRz5kylf9q0adSpUyelPyUlhT7++GPVMl577TXq2rUrEZXtw3/961/K+BUrVhAA2rhxozJs9uzZlJGRoUp/TEwMFRcXK8M++OADCg8PJ7vdTkVFRWQ0Gmnbtm2qdU+YMIH++Mc/ElFZsLV69Wq3/BkxYgS1aNHCq/Oia9euNGrUKLdlEBEdP36cBEGg8+fPq4b369ePpk2bRkTyNaR80Proo49SaGgoFRYWKsOysrLo0UcfVfpTU1NpwIABbukeOHAgEXl/Tut0OsrLy/OYfqKKgw8iory8PAJA+/fvJyLP+/PgwYMEgA4fPqys80aBRXk2m40iIiLom2++UYYBoKeeeko13YULF0gURfrll1+ISD634uPjleDeG2PHjiVRFCksLEz5DBs2jHr27On2A8yyZcsoKSlJlSbXHwWI5Ov/Y489RkRl+eP8f+IU7HniifO4uHTpEhkMBjp16hSdPn2ajEYjXbp0SfX/q7yKjpvy+ZKcnEwvvvhihWkAQC+99JLSX1RURIIg0Lp1625p225VZfcM3lzfndeEPXv2qJZbE4MtXxwfJpOJYmJilPwhImrXrp3qh45gczMBRmXHsjf3MsHqVoKtYN33XI3Qx3JycrBjxw489NBDAACtVosRI0Z4rM5W2TLuvPNO1bDy/TeSmZmJ1NRUNGnSBKNHj8by5ctRUlJSpWU88MADuHDhAr7++mtkZWVh06ZN6NChA5YsWYLdu3ejqKgIsbGxCA8PVz6nTp1SFec3atQIDRs2VPq7du0KSZKQk5NT4Xp3796N48ePIyIiQlluTEwMTCaTatm33347NJqyQzghIQGtW7dW+kVRRGxsLPLy8lTL79q1q9Kt1WrRsWNHHD58WFn3Dz/8oNqm2267DQBU6+7YsaPX+UiOalanTp2CKIro3bu31/OeOHECVqsV3bt3V4bpdDrceeedSpo9bVdMTAwyMjJU27VkyRLVdmVlZUGSJJw6dapK2zVnzhwsXboUhw4dUg0/fPiwKp0A0L17dxw7dkypzjZq1CgsX74cgJwvK1aswKhRowAAly5dUhoZcU3nrFmz3KovtWnTRulOSEgAANW+T0hIcNvvbdu2RWhoqCq/ioqKcO7cORw6dAgmkwmZmZmqdf/73/92W7enPCIiCILg1XmxZ88e9OvXz2PeZmdng4jQvHlz1fybN29WpSM0NBRNmzZVbW9aWhrCw8MrzQPXY8TZ73qMeHNOp6amIj4+3mP6yztx4gRGjhyJJk2aIDIyUnmOqfwzKa77MykpCQDc0l6ZvLw8TJo0Cc2bN0dUVBSioqJQVFTktp7y+y4pKQn33HOPcn1es2YNTCYTHnzwQa/XDQB9+/bFnj17lM97772H3bt3Y+bMmaq8nDhxInJzc1XX4sr2SUXp9kag86QicXFxuOeee7B06VIsXrwY99xzD+Li4lTTeHvcuKY9Ly8PFy5cqPDccnI91sLCwhAREVGlY83XvL1nqOz6DgB6vV61bTWVL44Pg8GA//u//1PycM+ePdi7d2+ta2CjsmPZ23uZ2iZY9702oGuvhRYuXAibzYYGDRoow4gIOp0O+fn50Gg0bs84eHqwt/wzXOXnudFyIiIikJ2djU2bNuG7777DK6+8ghkzZmDnzp1VemDWaDQiMzMTmZmZeOWVV/DII49g+vTpePzxx5GUlOT2vBOASpfv3K7KWrCTJAl33HGHclPuyvUmT6fTuS3b0zBvWopzpkeSJNx7772YM2eO2zTOm0BAvrA5paenQxAEHDp0yGP9+CNHjiA6Olp1o+8t5z72dDx40wqg63Y9+uijmDJlits0rg8eu25XRXr16oWsrCy88MILqguYpzSVP0ZHjhyJ559/HtnZ2SgtLcW5c+eUmwznfvroo4/QuXNn1XyiKKr6Xfezc53lh3nbQqDrtN9++63q3AXki7crT3l0+PBhNG7cGJIk3fC8CAkJqTAtkiRBFEXs3r3bbZtdAyl/HfvenNPeHCNO9957L1JSUvDRRx8hOTkZkiShVatWbo2veNqfzrR7c80cN24cLl26hHfeeQepqakwGAzo2rWr23o8pf2RRx7B6NGjMW/ePCxevBgjRoyo8rkaFhaG9PR01TBJkvDqq6+qnsdzMhqNlS6v/HlUPt01IU8qM378eOW5ivfff99tvLfHjWvaKzuvXN3seeIvN7pnqIzrcRISElJrWob1xfHxyCOPoF27dvjtt9+waNEi9OvXD6mpqdW2DbfC2/vEyo5lb+9lgp23eeEqGPc9B1s+ZLPZ8O9//xtvvfUW7r77btW4Bx54AMuXL0fTpk1RWFiI4uJi5R9F+fc+ZWRkYMeOHRg9erQybNeuXapp4uPjkZubq/Tb7XYcOHBAaWQBkH8h69+/P/r374/p06ejXr16+P7773H//fdDr9e7PTzvjZYtW2L16tXo0KEDLl68CK1Wq3oou7yzZ8/iwoULSE5OBgD8/PPP0Gg0aN68OQB4TEeHDh3w6aefKg/p+9r27dvRq1cvAPI+2717t3Jh79ChA1auXIm0tDRotd6dHrGxscjMzMT8+fPx9NNPq/7pX7x4EcuXL8eYMWPQunVrSJKEzZs3o3///m7L0ev1AKDKj/T0dOj1emzZsgUjR44EIF9odu3a5dZAyvbt25XAKT8/H0ePHlV+yerQoQMOHjzodkN4s9544w20a9dO2Y+AfGxs2bJFNd22bdvQvHlzJXBo2LAhevXqheXLl6O0tBT9+/dXSqYSEhLQoEEDnDx5Uint8qW9e/eitLRU2T/bt29HeHg4GjZsiOjoaBgMBpw9e7ZKJY8A8P3332P//v14+umn0bBhwxueF23atMHGjRvx8MMPu41r37497HY78vLy0LNnzypv441s377drd/1GPHmnPbWlStXcPjwYfzzn/9UtqX88eGN+Ph4XLx4URXMl79m/vTTT5g/fz4GDRoEQH4Ng7cPgg8aNAhhYWH44IMPsG7dOvz4449VTqMnHTp0QE5Ozg3Pue3bt2PMmDGqftfGADypqXniNGDAAOXGOCsrSzXuZo+biIgIpKWlYePGjar/g8HMm3uGVq1aAaj8+l7b+OL4aN26NTp27IiPPvoIH3/8sVtjQMGs/P1dQUGBqgaKN27mXiYY3UxeBOO+r7l7IAitWbMG+fn5mDBhAqKiolTjhg0bhoULF2Ljxo0IDQ3FCy+8gMmTJ2PHjh1u78GYPHkyJk6ciI4dO6Jbt2749NNPsW/fPjRp0kSZ5q677sIzzzyDb7/9Fk2bNsW8efNU72das2YNTp48iV69eiE6Ohpr166FJEnIyMgAILfw8ssvv+D06dNKNT3XKnlXrlzBgw8+iPHjx6NNmzaIiIjArl27MHfuXAwZMgT9+/dH165dMXToUMyZMwcZGRm4cOEC1q5di6FDhyrVO4xGI8aOHYu//e1vKCgowJQpUzB8+HAkJiYq6fjvf/+LnJwcxMbGIioqCqNGjcKbb76JIUOGYObMmWjYsCHOnj2LVatWYerUqapqiTfj/fffR7NmzdCiRQvMmzcP+fn5GD9+PADgiSeewEcffYQ//vGPmDp1KuLi4nD8+HF88skn+Oijj9xKG5z+8Y9/oFu3bsjKysKsWbPQuHFjHDx4EFOnTkWDBg3w+uuvIyYmBmPHjsX48ePx3nvvoW3btjhz5gzy8vIwfPhwpKamQhAErFmzBoMGDUJISAjCw8Px2GOPKS0sNmrUCHPnzkVJSQkmTJigSsPMmTMRGxuLhIQEvPjii4iLi1NK2v7yl7+gS5cueOKJJzBx4kSEhYXh8OHD2LBhw01diFq3bo1Ro0ap5n322WfRqVMnvPbaaxgxYgR+/vln/OMf/1C1JgjIVQlnzJgBi8WCefPmqcbNmDEDU6ZMQWRkJAYOHAiz2Yxdu3YhPz8fzzzzTJXT6cpisWDChAl46aWXcObMGUyfPh1PPvkkNBoNIiIi8P/+3//D008/DUmS0KNHDxQUFGDbtm0IDw/H2LFjleX8/vvvKC4uxu+//47169dj9uzZGDx4MMaMGQONRnPD82L69Ono168fmjZtioceegg2mw3r1q3Dc889h+bNm2PUqFEYM2YM3nrrLbRv3x6XL1/G999/j9atWys3zjdr69atmDt3LoYOHYoNGzbg888/x7fffgsAXp/T3nK2JLpgwQIkJSXh7NmzeP7556uc5j59+uDSpUuYO3cuhg0bhvXr12PdunWqH2LS09OxbNkydOzYEQUFBZg6darXJR2iKGLcuHGYNm0a0tPT3ar13axXXnkFgwcPRkpKCh588EFoNBrs27cP+/fvx6xZs5TpPv/8c3Ts2BE9evTA8uXLsWPHDixcuLDSZdfUPHFdvrMKXPlr6q0cNzNmzMCkSZNQv359DBw4EIWFhdi6dSsmT57s0/T7ijf3DM5rZGXX99rGV8fHI488gieffBKhoaG47777/J5uX7nrrruwZMkS3HvvvYiOjsbLL79c4b1HRW72XibY3GxeBN2+r+ZnxGq1wYMH06BBgzyO2717NwGg3bt305dffknp6elkNBpp8ODBtGDBAiq/K2bOnElxcXEUHh5O48ePpylTplCXLl2U8RaLhR577DGKiYmh+vXr0+zZs1UPkP7000/Uu3dvio6OppCQEGrTpo3qgcGcnBzq0qULhYSEEAA6deqUav0mk4mef/556tChA0VFRVFoaChlZGTQSy+9RCUlJUREVFBQQJMnT6bk5GTS6XSUkpJCo0aNUlr/cz7EPX/+fEpOTiaj0Uj3338/Xb16VVlPXl4eZWZmUnh4OAGgH374gYiIcnNzacyYMRQXF0cGg4GaNGlCEydOpOvXrxOR54fwPT386/pwpfOh6o8//pg6d+5Mer1eadTA1dGjR+m+++6jevXqUUhICN1222301FNPKQ12VPSQ8enTp2ncuHGUmJio5MfkyZOVFuuIiEpLS+npp5+mpKQk0uv1lJ6eTosWLVLt98TERBIEQdmXpaWlNHnyZCUvunfvTjt27FDmcT5A/c0339Dtt99Oer2eOnXq5Paw9I4dO5S8DgsLozZt2qhawfP0IKqTp/w+ffo0GQwG1bH7xRdfUMuWLUmn01GjRo3ozTffdFtWfn4+GQwGtwYdnJYvX07t2rUjvV5P0dHR1KtXL1q1ahURle3DX3/91W37XRsWKd8QjTP9r7zyCsXGxlJ4eDg98sgjqsYgJEmid999lzIyMkin01F8fDxlZWXR5s2biaisgQwApNVqKT4+nvr370+LFi1SNdRyo/OCSG7AxrmNcXFxdP/99yvjLBYLvfLKK5SWlkY6nY4SExPpvvvuo3379nncNiLPDSaU32epqan06quv0vDhwyk0NJQSEhLcGhjw9pyuzOjRo+mBBx4gIqINGzZQixYtyGAwUJs2bWjTpk2qh5k97c/8/HzVtYBIbswkJSWFwsLCaMyYMfT666+rGoPIzs6mjh07ksFgoGbNmtHnn3/udjy7rre8EydOEACl0ZmqqKxBkPXr11O3bt0oJCSEIiMj6c4776QFCxao0vT+++9TZmYmGQwGSk1NVRr0IfKcP07BnCeeVJZPROoGnm7muHH68MMPlXM4KSmJJk+erIzztL1RUVFKi6nVzZt7hrfeeuuG13dP1wSimtlARkWqcnw4FRYWUmhoKD3++OP+S7iPuF43r1+/TsOHD6fIyEhKSUmhJUuWVNoohFP5Y/lG9zLByhd5EWz7XiCq5CUpLGhkZmYiMTERy5YtC3RSvDZjxgysXr3arXoLY6z2GjBgANLT0/GPf/wj0Enx2tatW9GnTx/89ttvSrXWuo7zJDhs2rQJffv2RX5+fo16QXEwOHfuHNLS0rBz50506NAh0MmpVE28bvqLL/Ii2PY9VyMMQiUlJfjwww+RlZUFURSxYsUK/O9//8OGDRsCnTTGGPMoPz8f27Ztw6ZNmzBp0qRAJ8crZrMZ586dw8svv4zhw4dzUAHOE1bzWa1W5Obm4vnnn0eXLl2C4ma7IjXxuukvvsiLYN33HGwFIUEQsHbtWsyaNQtmsxkZGRlYuXKlx0YVGGMsGIwfPx47d+7Es88+iyFDhgQ6OV5ZsWIFJkyYgHbt2tWoWgP+xHnCarqtW7eib9++aN68Ob744otAJ6dSNfG66S++yItg3fdcjZAxxhhjjDHG/IBfaswYY4wxxhhjfsDBFmOMMcYYY4z5AQdbjDHGGGOMMeYHHGwxxhhjjDHGmB9wsMUYY4wxxhhjfsDBFmOMMeYwY8YMtGvXLtDJYIwxVktwsMUYY6xOEgQBq1evDnQyGGOM1WIcbDHGGGOMMcaYH3CwxRhjLKD69OmDyZMn46mnnkJ0dDQSEhKwYMECFBcX4+GHH0ZERASaNm2KdevWKfNs3rwZd955JwwGA5KSkvD888/DZrOpljllyhQ899xziImJQWJiImbMmKGMT0tLAwDcd999EARB6XdatmwZ0tLSEBUVhYceegiFhYVeb0tl6wWAt99+G61bt0ZYWBhSUlLw+OOPo6ioSBm/ZMkS1KtXD2vWrEFGRgZCQ0MxbNgwFBcXY+nSpUhLS0N0dDQmT54Mu92uzGexWPDcc8+hQYMGCAsLQ+fOnbFp0yav0s0YY8w/ONhijDEWcEuXLkVcXBx27NiByZMn47HHHsODDz6Ibt26ITs7G1lZWRg9ejRKSkpw/vx5DBo0CJ06dcLevXvxwQcfYOHChZg1a5bbMsPCwvDLL79g7ty5mDlzJjZs2AAA2LlzJwBg8eLFyM3NVfoB4MSJE1i9ejXWrFmDNWvWYPPmzXjjjTeqtC0VrRcANBoN3nvvPRw4cABLly7F999/j+eee061jJKSErz33nv45JNPsH79emzatAn3338/1q5di7Vr12LZsmVYsGABvvjiC2Wehx9+GFu3bsUnn3yCffv24cEHH8SAAQNw7Ngx73cEY4wx3yLGGGMsgHr37k09evRQ+m02G4WFhdHo0aOVYbm5uQSAfv75Z3rhhRcoIyODJElSxr///vsUHh5Odrvd4zKJiDp16kR/+ctflH4A9OWXX6qmmT59OoWGhlJBQYEybOrUqdS5c+eb2hZP6y3vs88+o9jYWKV/8eLFBICOHz+uDHv00UcpNDSUCgsLlWFZWVn06KOPEhHR8ePHSRAEOn/+vGrZ/fr1o2nTpnmVdsYYY76nDXCsxxhjjKFNmzZKtyiKiI2NRevWrZVhCQkJAIC8vDwcPnwYXbt2hSAIyvju3bujqKgIv/32Gxo1auS2TABISkpCXl7eDdOSlpaGiIiIKs/naVs8zf/DDz/gr3/9Kw4dOoSCggLYbDaYTCYUFxcjLCwMABAaGoqmTZsq8yQkJCAtLQ3h4eGqYc7lZmdng4jQvHlz1brNZjNiY2O9TjtjjDHf4mCLMcZYwOl0OlW/IAiqYc7ASpIkEJEq0AIAIlJNV9EyJUm6qbR4M5838585cwaDBg3CpEmT8NprryEmJgZbtmzBhAkTYLVaK11GZcuVJAmiKGL37t0QRVE1nWuAxhhjrHpxsMUYY6xGadmyJVauXKkKurZt24aIiAg0aNDA6+XodDpVAxPVYdeuXbDZbHjrrbeg0ciPTX/22We3vNz27dvDbrcjLy8PPXv2vOXlMcYY8w1uIIMxxliN8vjjj+PcuXOYPHkyjhw5gq+++grTp0/HM888owQw3khLS8PGjRtx8eJF5Ofn+zHFZZo2bQqbzYa///3vOHnyJJYtW4YPP/zwlpfbvHlzjBo1CmPGjMGqVatw6tQp7Ny5E3PmzMHatWt9kHLGGGM3g4MtxhhjNUqDBg2wdu1a7NixA23btsWkSZMwYcIEvPTSS1VazltvvYUNGzYgJSUF7du391Nq1dq1a4e3334bc+bMQatWrbB8+XLMnj3bJ8tevHgxxowZg2effRYZGRn4wx/+gF9++QUpKSk+WT5jjLGqE8hZ0Z0xxhhjjDHGmM9wyRZjjDHGGGOM+QEHW4wxxpgXzp49i/Dw8Ao/Z8+eDXQSGWOMBRmuRsgYY4x5wWaz4fTp0xWOT0tLg1bLjfwyxhgrw8EWY4wxxhhjjPkBVyNkjDHGGGOMMT/gYIsxxhhjjDHG/ICDLcYYY4wxxhjzAw62GGOMMcYYY8wPONhijDHGGGOMMT/gYIsxxhhjjDHG/ICDLcYYY4wxxhjzg/8PjpcKDll/mNMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Stacked line plot\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.title('Seasonality of the Time Series')\n",
    "sns.pointplot(x='month_name',y='Open',hue='year',data=google)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "b996aae6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2004-08-19', '2004-08-20', '2004-08-23', '2004-08-24',\n",
       "               '2004-08-25', '2004-08-26', '2004-08-27', '2004-08-30',\n",
       "               '2004-08-31', '2004-09-01',\n",
       "               ...\n",
       "               '2022-03-11', '2022-03-14', '2022-03-15', '2022-03-16',\n",
       "               '2022-03-17', '2022-03-18', '2022-03-21', '2022-03-22',\n",
       "               '2022-03-23', '2022-03-24'],\n",
       "              dtype='datetime64[ns]', name='Date', length=4431, freq=None)"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.index                                                                        #freq=None"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44ba6509",
   "metadata": {},
   "source": [
    "### asfreq function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "3af9f15e",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>month_name</th>\n",
       "      <th>weekday_name</th>\n",
       "      <th>quarter</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-08-19</th>\n",
       "      <td>50.050049</td>\n",
       "      <td>52.082081</td>\n",
       "      <td>48.028027</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>44659096.0</td>\n",
       "      <td>August</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-20</th>\n",
       "      <td>50.555557</td>\n",
       "      <td>54.594597</td>\n",
       "      <td>50.300301</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>22834343.0</td>\n",
       "      <td>August</td>\n",
       "      <td>Friday</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-22</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-23</th>\n",
       "      <td>55.430431</td>\n",
       "      <td>56.796799</td>\n",
       "      <td>54.579578</td>\n",
       "      <td>54.754753</td>\n",
       "      <td>54.754753</td>\n",
       "      <td>18256126.0</td>\n",
       "      <td>August</td>\n",
       "      <td>Monday</td>\n",
       "      <td>3.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-20</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-21</th>\n",
       "      <td>2723.270020</td>\n",
       "      <td>2741.000000</td>\n",
       "      <td>2681.850098</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>1341600.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-22</th>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2821.000000</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2797.360107</td>\n",
       "      <td>2797.360107</td>\n",
       "      <td>1774800.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23</th>\n",
       "      <td>2774.050049</td>\n",
       "      <td>2791.770020</td>\n",
       "      <td>2756.699951</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>1257700.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-24</th>\n",
       "      <td>2784.000000</td>\n",
       "      <td>2832.379883</td>\n",
       "      <td>2755.010010</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>1317900.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6427 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Open         High          Low        Close    Adj Close  \\\n",
       "Date                                                                          \n",
       "2004-08-19    50.050049    52.082081    48.028027    50.220219    50.220219   \n",
       "2004-08-20    50.555557    54.594597    50.300301    54.209209    54.209209   \n",
       "2004-08-21          NaN          NaN          NaN          NaN          NaN   \n",
       "2004-08-22          NaN          NaN          NaN          NaN          NaN   \n",
       "2004-08-23    55.430431    56.796799    54.579578    54.754753    54.754753   \n",
       "...                 ...          ...          ...          ...          ...   \n",
       "2022-03-20          NaN          NaN          NaN          NaN          NaN   \n",
       "2022-03-21  2723.270020  2741.000000  2681.850098  2722.030029  2722.030029   \n",
       "2022-03-22  2722.030029  2821.000000  2722.030029  2797.360107  2797.360107   \n",
       "2022-03-23  2774.050049  2791.770020  2756.699951  2765.510010  2765.510010   \n",
       "2022-03-24  2784.000000  2832.379883  2755.010010  2831.439941  2831.439941   \n",
       "\n",
       "                Volume month_name weekday_name  quarter  \n",
       "Date                                                     \n",
       "2004-08-19  44659096.0     August     Thursday      3.0  \n",
       "2004-08-20  22834343.0     August       Friday      3.0  \n",
       "2004-08-21         NaN        NaN          NaN      NaN  \n",
       "2004-08-22         NaN        NaN          NaN      NaN  \n",
       "2004-08-23  18256126.0     August       Monday      3.0  \n",
       "...                ...        ...          ...      ...  \n",
       "2022-03-20         NaN        NaN          NaN      NaN  \n",
       "2022-03-21   1341600.0      March       Monday      1.0  \n",
       "2022-03-22   1774800.0      March      Tuesday      1.0  \n",
       "2022-03-23   1257700.0      March    Wednesday      1.0  \n",
       "2022-03-24   1317900.0      March     Thursday      1.0  \n",
       "\n",
       "[6427 rows x 9 columns]"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.asfreq('D')            # D-> Daily"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "9e0023a9",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>month_name</th>\n",
       "      <th>weekday_name</th>\n",
       "      <th>quarter</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-08-19</th>\n",
       "      <td>50.050049</td>\n",
       "      <td>52.082081</td>\n",
       "      <td>48.028027</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>44659096.0</td>\n",
       "      <td>August</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-20</th>\n",
       "      <td>50.555557</td>\n",
       "      <td>54.594597</td>\n",
       "      <td>50.300301</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>22834343.0</td>\n",
       "      <td>August</td>\n",
       "      <td>Friday</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-23</th>\n",
       "      <td>55.430431</td>\n",
       "      <td>56.796799</td>\n",
       "      <td>54.579578</td>\n",
       "      <td>54.754753</td>\n",
       "      <td>54.754753</td>\n",
       "      <td>18256126.0</td>\n",
       "      <td>August</td>\n",
       "      <td>Monday</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-24</th>\n",
       "      <td>55.675674</td>\n",
       "      <td>55.855858</td>\n",
       "      <td>51.836838</td>\n",
       "      <td>52.487488</td>\n",
       "      <td>52.487488</td>\n",
       "      <td>15247337.0</td>\n",
       "      <td>August</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-25</th>\n",
       "      <td>52.532532</td>\n",
       "      <td>54.054054</td>\n",
       "      <td>51.991993</td>\n",
       "      <td>53.053055</td>\n",
       "      <td>53.053055</td>\n",
       "      <td>9188602.0</td>\n",
       "      <td>August</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>3.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-18</th>\n",
       "      <td>2668.489990</td>\n",
       "      <td>2724.879883</td>\n",
       "      <td>2645.169922</td>\n",
       "      <td>2722.510010</td>\n",
       "      <td>2722.510010</td>\n",
       "      <td>2223100.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-21</th>\n",
       "      <td>2723.270020</td>\n",
       "      <td>2741.000000</td>\n",
       "      <td>2681.850098</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>1341600.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-22</th>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2821.000000</td>\n",
       "      <td>2722.030029</td>\n",
       "      <td>2797.360107</td>\n",
       "      <td>2797.360107</td>\n",
       "      <td>1774800.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23</th>\n",
       "      <td>2774.050049</td>\n",
       "      <td>2791.770020</td>\n",
       "      <td>2756.699951</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>1257700.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-24</th>\n",
       "      <td>2784.000000</td>\n",
       "      <td>2832.379883</td>\n",
       "      <td>2755.010010</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>1317900.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4591 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Open         High          Low        Close    Adj Close  \\\n",
       "Date                                                                          \n",
       "2004-08-19    50.050049    52.082081    48.028027    50.220219    50.220219   \n",
       "2004-08-20    50.555557    54.594597    50.300301    54.209209    54.209209   \n",
       "2004-08-23    55.430431    56.796799    54.579578    54.754753    54.754753   \n",
       "2004-08-24    55.675674    55.855858    51.836838    52.487488    52.487488   \n",
       "2004-08-25    52.532532    54.054054    51.991993    53.053055    53.053055   \n",
       "...                 ...          ...          ...          ...          ...   \n",
       "2022-03-18  2668.489990  2724.879883  2645.169922  2722.510010  2722.510010   \n",
       "2022-03-21  2723.270020  2741.000000  2681.850098  2722.030029  2722.030029   \n",
       "2022-03-22  2722.030029  2821.000000  2722.030029  2797.360107  2797.360107   \n",
       "2022-03-23  2774.050049  2791.770020  2756.699951  2765.510010  2765.510010   \n",
       "2022-03-24  2784.000000  2832.379883  2755.010010  2831.439941  2831.439941   \n",
       "\n",
       "                Volume month_name weekday_name  quarter  \n",
       "Date                                                     \n",
       "2004-08-19  44659096.0     August     Thursday      3.0  \n",
       "2004-08-20  22834343.0     August       Friday      3.0  \n",
       "2004-08-23  18256126.0     August       Monday      3.0  \n",
       "2004-08-24  15247337.0     August      Tuesday      3.0  \n",
       "2004-08-25   9188602.0     August    Wednesday      3.0  \n",
       "...                ...        ...          ...      ...  \n",
       "2022-03-18   2223100.0      March       Friday      1.0  \n",
       "2022-03-21   1341600.0      March       Monday      1.0  \n",
       "2022-03-22   1774800.0      March      Tuesday      1.0  \n",
       "2022-03-23   1257700.0      March    Wednesday      1.0  \n",
       "2022-03-24   1317900.0      March     Thursday      1.0  \n",
       "\n",
       "[4591 rows x 9 columns]"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.asfreq('B')                     # B-> Business days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "359c73e9",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>month_name</th>\n",
       "      <th>weekday_name</th>\n",
       "      <th>quarter</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-09-30</th>\n",
       "      <td>65.015015</td>\n",
       "      <td>66.216217</td>\n",
       "      <td>64.564568</td>\n",
       "      <td>64.864868</td>\n",
       "      <td>64.864868</td>\n",
       "      <td>13758028.0</td>\n",
       "      <td>September</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-12-31</th>\n",
       "      <td>99.714714</td>\n",
       "      <td>100.040039</td>\n",
       "      <td>96.376373</td>\n",
       "      <td>96.491493</td>\n",
       "      <td>96.491493</td>\n",
       "      <td>15321663.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Friday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-03-31</th>\n",
       "      <td>89.064064</td>\n",
       "      <td>90.785789</td>\n",
       "      <td>88.908913</td>\n",
       "      <td>90.345345</td>\n",
       "      <td>90.345345</td>\n",
       "      <td>13523663.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-06-30</th>\n",
       "      <td>147.317322</td>\n",
       "      <td>149.614609</td>\n",
       "      <td>145.665665</td>\n",
       "      <td>147.222229</td>\n",
       "      <td>147.222229</td>\n",
       "      <td>30158611.0</td>\n",
       "      <td>June</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-09-30</th>\n",
       "      <td>157.267273</td>\n",
       "      <td>158.908905</td>\n",
       "      <td>156.301300</td>\n",
       "      <td>158.388382</td>\n",
       "      <td>158.388382</td>\n",
       "      <td>18284297.0</td>\n",
       "      <td>September</td>\n",
       "      <td>Friday</td>\n",
       "      <td>3.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-31</th>\n",
       "      <td>1737.270020</td>\n",
       "      <td>1757.500000</td>\n",
       "      <td>1736.089966</td>\n",
       "      <td>1752.640015</td>\n",
       "      <td>1752.640015</td>\n",
       "      <td>1053500.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>2054.399902</td>\n",
       "      <td>2086.260010</td>\n",
       "      <td>2047.000000</td>\n",
       "      <td>2062.520020</td>\n",
       "      <td>2062.520020</td>\n",
       "      <td>2128500.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-30</th>\n",
       "      <td>2439.889893</td>\n",
       "      <td>2445.139893</td>\n",
       "      <td>2427.090088</td>\n",
       "      <td>2441.790039</td>\n",
       "      <td>2441.790039</td>\n",
       "      <td>1223700.0</td>\n",
       "      <td>June</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-30</th>\n",
       "      <td>2685.229980</td>\n",
       "      <td>2710.850098</td>\n",
       "      <td>2671.120117</td>\n",
       "      <td>2673.520020</td>\n",
       "      <td>2673.520020</td>\n",
       "      <td>1899800.0</td>\n",
       "      <td>September</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-31</th>\n",
       "      <td>2921.000000</td>\n",
       "      <td>2933.969971</td>\n",
       "      <td>2897.040039</td>\n",
       "      <td>2897.040039</td>\n",
       "      <td>2897.040039</td>\n",
       "      <td>906800.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Friday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Open         High          Low        Close    Adj Close  \\\n",
       "Date                                                                          \n",
       "2004-09-30    65.015015    66.216217    64.564568    64.864868    64.864868   \n",
       "2004-12-31    99.714714   100.040039    96.376373    96.491493    96.491493   \n",
       "2005-03-31    89.064064    90.785789    88.908913    90.345345    90.345345   \n",
       "2005-06-30   147.317322   149.614609   145.665665   147.222229   147.222229   \n",
       "2005-09-30   157.267273   158.908905   156.301300   158.388382   158.388382   \n",
       "...                 ...          ...          ...          ...          ...   \n",
       "2020-12-31  1737.270020  1757.500000  1736.089966  1752.640015  1752.640015   \n",
       "2021-03-31  2054.399902  2086.260010  2047.000000  2062.520020  2062.520020   \n",
       "2021-06-30  2439.889893  2445.139893  2427.090088  2441.790039  2441.790039   \n",
       "2021-09-30  2685.229980  2710.850098  2671.120117  2673.520020  2673.520020   \n",
       "2021-12-31  2921.000000  2933.969971  2897.040039  2897.040039  2897.040039   \n",
       "\n",
       "                Volume month_name weekday_name  quarter  \n",
       "Date                                                     \n",
       "2004-09-30  13758028.0  September     Thursday      3.0  \n",
       "2004-12-31  15321663.0   December       Friday      4.0  \n",
       "2005-03-31  13523663.0      March     Thursday      1.0  \n",
       "2005-06-30  30158611.0       June     Thursday      2.0  \n",
       "2005-09-30  18284297.0  September       Friday      3.0  \n",
       "...                ...        ...          ...      ...  \n",
       "2020-12-31   1053500.0   December     Thursday      4.0  \n",
       "2021-03-31   2128500.0      March    Wednesday      1.0  \n",
       "2021-06-30   1223700.0       June    Wednesday      2.0  \n",
       "2021-09-30   1899800.0  September     Thursday      3.0  \n",
       "2021-12-31    906800.0   December       Friday      4.0  \n",
       "\n",
       "[70 rows x 9 columns]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.asfreq('Q')       # gives quartely data.. i.e last day of every quarter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "fe2fc331",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>month_name</th>\n",
       "      <th>weekday_name</th>\n",
       "      <th>quarter</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-12-31</th>\n",
       "      <td>99.714714</td>\n",
       "      <td>100.040039</td>\n",
       "      <td>96.376373</td>\n",
       "      <td>96.491493</td>\n",
       "      <td>96.491493</td>\n",
       "      <td>15321663.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Friday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-12-31</th>\n",
       "      <td>349.634644</td>\n",
       "      <td>351.596588</td>\n",
       "      <td>345.635651</td>\n",
       "      <td>346.086090</td>\n",
       "      <td>346.086090</td>\n",
       "      <td>4747648.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Monday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-12-31</th>\n",
       "      <td>152.252258</td>\n",
       "      <td>155.655655</td>\n",
       "      <td>151.456451</td>\n",
       "      <td>153.978973</td>\n",
       "      <td>153.978973</td>\n",
       "      <td>5767826.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-12-31</th>\n",
       "      <td>312.687683</td>\n",
       "      <td>313.013000</td>\n",
       "      <td>310.300293</td>\n",
       "      <td>310.300293</td>\n",
       "      <td>310.300293</td>\n",
       "      <td>2437160.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-12-31</th>\n",
       "      <td>298.668671</td>\n",
       "      <td>299.509521</td>\n",
       "      <td>296.311310</td>\n",
       "      <td>297.282288</td>\n",
       "      <td>297.282288</td>\n",
       "      <td>3075521.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Friday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-12-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-12-31</th>\n",
       "      <td>350.350342</td>\n",
       "      <td>355.640656</td>\n",
       "      <td>348.348358</td>\n",
       "      <td>354.044037</td>\n",
       "      <td>354.044037</td>\n",
       "      <td>3990805.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Monday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-31</th>\n",
       "      <td>556.676697</td>\n",
       "      <td>561.061035</td>\n",
       "      <td>553.683655</td>\n",
       "      <td>560.915894</td>\n",
       "      <td>560.915894</td>\n",
       "      <td>2713084.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-31</th>\n",
       "      <td>537.739990</td>\n",
       "      <td>538.400024</td>\n",
       "      <td>530.200012</td>\n",
       "      <td>530.659973</td>\n",
       "      <td>530.659973</td>\n",
       "      <td>1232400.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>787.820007</td>\n",
       "      <td>788.330017</td>\n",
       "      <td>777.320007</td>\n",
       "      <td>778.010010</td>\n",
       "      <td>778.010010</td>\n",
       "      <td>1637600.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>1057.829956</td>\n",
       "      <td>1062.989990</td>\n",
       "      <td>1033.040039</td>\n",
       "      <td>1044.959961</td>\n",
       "      <td>1044.959961</td>\n",
       "      <td>1655500.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Monday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31</th>\n",
       "      <td>1335.790039</td>\n",
       "      <td>1340.660034</td>\n",
       "      <td>1332.130005</td>\n",
       "      <td>1339.390015</td>\n",
       "      <td>1339.390015</td>\n",
       "      <td>975700.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-31</th>\n",
       "      <td>1737.270020</td>\n",
       "      <td>1757.500000</td>\n",
       "      <td>1736.089966</td>\n",
       "      <td>1752.640015</td>\n",
       "      <td>1752.640015</td>\n",
       "      <td>1053500.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-31</th>\n",
       "      <td>2921.000000</td>\n",
       "      <td>2933.969971</td>\n",
       "      <td>2897.040039</td>\n",
       "      <td>2897.040039</td>\n",
       "      <td>2897.040039</td>\n",
       "      <td>906800.0</td>\n",
       "      <td>December</td>\n",
       "      <td>Friday</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Open         High          Low        Close    Adj Close  \\\n",
       "Date                                                                          \n",
       "2004-12-31    99.714714   100.040039    96.376373    96.491493    96.491493   \n",
       "2005-12-31          NaN          NaN          NaN          NaN          NaN   \n",
       "2006-12-31          NaN          NaN          NaN          NaN          NaN   \n",
       "2007-12-31   349.634644   351.596588   345.635651   346.086090   346.086090   \n",
       "2008-12-31   152.252258   155.655655   151.456451   153.978973   153.978973   \n",
       "2009-12-31   312.687683   313.013000   310.300293   310.300293   310.300293   \n",
       "2010-12-31   298.668671   299.509521   296.311310   297.282288   297.282288   \n",
       "2011-12-31          NaN          NaN          NaN          NaN          NaN   \n",
       "2012-12-31   350.350342   355.640656   348.348358   354.044037   354.044037   \n",
       "2013-12-31   556.676697   561.061035   553.683655   560.915894   560.915894   \n",
       "2014-12-31   537.739990   538.400024   530.200012   530.659973   530.659973   \n",
       "2015-12-31   787.820007   788.330017   777.320007   778.010010   778.010010   \n",
       "2016-12-31          NaN          NaN          NaN          NaN          NaN   \n",
       "2017-12-31          NaN          NaN          NaN          NaN          NaN   \n",
       "2018-12-31  1057.829956  1062.989990  1033.040039  1044.959961  1044.959961   \n",
       "2019-12-31  1335.790039  1340.660034  1332.130005  1339.390015  1339.390015   \n",
       "2020-12-31  1737.270020  1757.500000  1736.089966  1752.640015  1752.640015   \n",
       "2021-12-31  2921.000000  2933.969971  2897.040039  2897.040039  2897.040039   \n",
       "\n",
       "                Volume month_name weekday_name  quarter  \n",
       "Date                                                     \n",
       "2004-12-31  15321663.0   December       Friday      4.0  \n",
       "2005-12-31         NaN        NaN          NaN      NaN  \n",
       "2006-12-31         NaN        NaN          NaN      NaN  \n",
       "2007-12-31   4747648.0   December       Monday      4.0  \n",
       "2008-12-31   5767826.0   December    Wednesday      4.0  \n",
       "2009-12-31   2437160.0   December     Thursday      4.0  \n",
       "2010-12-31   3075521.0   December       Friday      4.0  \n",
       "2011-12-31         NaN        NaN          NaN      NaN  \n",
       "2012-12-31   3990805.0   December       Monday      4.0  \n",
       "2013-12-31   2713084.0   December      Tuesday      4.0  \n",
       "2014-12-31   1232400.0   December    Wednesday      4.0  \n",
       "2015-12-31   1637600.0   December     Thursday      4.0  \n",
       "2016-12-31         NaN        NaN          NaN      NaN  \n",
       "2017-12-31         NaN        NaN          NaN      NaN  \n",
       "2018-12-31   1655500.0   December       Monday      4.0  \n",
       "2019-12-31    975700.0   December      Tuesday      4.0  \n",
       "2020-12-31   1053500.0   December     Thursday      4.0  \n",
       "2021-12-31    906800.0   December       Friday      4.0  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.asfreq('Y') # last day of every year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "5e07dc37",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>month_name</th>\n",
       "      <th>weekday_name</th>\n",
       "      <th>quarter</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-08-19 00:00:00</th>\n",
       "      <td>50.050049</td>\n",
       "      <td>52.082081</td>\n",
       "      <td>48.028027</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>44659096.0</td>\n",
       "      <td>August</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-19 06:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-19 12:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-19 18:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-20 00:00:00</th>\n",
       "      <td>50.555557</td>\n",
       "      <td>54.594597</td>\n",
       "      <td>50.300301</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>22834343.0</td>\n",
       "      <td>August</td>\n",
       "      <td>Friday</td>\n",
       "      <td>3.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 00:00:00</th>\n",
       "      <td>2774.050049</td>\n",
       "      <td>2791.770020</td>\n",
       "      <td>2756.699951</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>1257700.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 06:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 12:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 18:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-24 00:00:00</th>\n",
       "      <td>2784.000000</td>\n",
       "      <td>2832.379883</td>\n",
       "      <td>2755.010010</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>1317900.0</td>\n",
       "      <td>March</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25705 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Open         High          Low        Close  \\\n",
       "Date                                                                      \n",
       "2004-08-19 00:00:00    50.050049    52.082081    48.028027    50.220219   \n",
       "2004-08-19 06:00:00          NaN          NaN          NaN          NaN   \n",
       "2004-08-19 12:00:00          NaN          NaN          NaN          NaN   \n",
       "2004-08-19 18:00:00          NaN          NaN          NaN          NaN   \n",
       "2004-08-20 00:00:00    50.555557    54.594597    50.300301    54.209209   \n",
       "...                          ...          ...          ...          ...   \n",
       "2022-03-23 00:00:00  2774.050049  2791.770020  2756.699951  2765.510010   \n",
       "2022-03-23 06:00:00          NaN          NaN          NaN          NaN   \n",
       "2022-03-23 12:00:00          NaN          NaN          NaN          NaN   \n",
       "2022-03-23 18:00:00          NaN          NaN          NaN          NaN   \n",
       "2022-03-24 00:00:00  2784.000000  2832.379883  2755.010010  2831.439941   \n",
       "\n",
       "                       Adj Close      Volume month_name weekday_name  quarter  \n",
       "Date                                                                           \n",
       "2004-08-19 00:00:00    50.220219  44659096.0     August     Thursday      3.0  \n",
       "2004-08-19 06:00:00          NaN         NaN        NaN          NaN      NaN  \n",
       "2004-08-19 12:00:00          NaN         NaN        NaN          NaN      NaN  \n",
       "2004-08-19 18:00:00          NaN         NaN        NaN          NaN      NaN  \n",
       "2004-08-20 00:00:00    54.209209  22834343.0     August       Friday      3.0  \n",
       "...                          ...         ...        ...          ...      ...  \n",
       "2022-03-23 00:00:00  2765.510010   1257700.0      March    Wednesday      1.0  \n",
       "2022-03-23 06:00:00          NaN         NaN        NaN          NaN      NaN  \n",
       "2022-03-23 12:00:00          NaN         NaN        NaN          NaN      NaN  \n",
       "2022-03-23 18:00:00          NaN         NaN        NaN          NaN      NaN  \n",
       "2022-03-24 00:00:00  2831.439941   1317900.0      March     Thursday      1.0  \n",
       "\n",
       "[25705 rows x 9 columns]"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# google.asfreq('H')\n",
    "google.asfreq('6H')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "614d14f1",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>month_name</th>\n",
       "      <th>weekday_name</th>\n",
       "      <th>quarter</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-08-19 00:00:00</th>\n",
       "      <td>50.050049</td>\n",
       "      <td>52.082081</td>\n",
       "      <td>48.028027</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>44659096</td>\n",
       "      <td>August</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-19 06:00:00</th>\n",
       "      <td>50.050049</td>\n",
       "      <td>52.082081</td>\n",
       "      <td>48.028027</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>44659096</td>\n",
       "      <td>August</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-19 12:00:00</th>\n",
       "      <td>50.050049</td>\n",
       "      <td>52.082081</td>\n",
       "      <td>48.028027</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>44659096</td>\n",
       "      <td>August</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-19 18:00:00</th>\n",
       "      <td>50.050049</td>\n",
       "      <td>52.082081</td>\n",
       "      <td>48.028027</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>44659096</td>\n",
       "      <td>August</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-20 00:00:00</th>\n",
       "      <td>50.555557</td>\n",
       "      <td>54.594597</td>\n",
       "      <td>50.300301</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>22834343</td>\n",
       "      <td>August</td>\n",
       "      <td>Friday</td>\n",
       "      <td>3</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 00:00:00</th>\n",
       "      <td>2774.050049</td>\n",
       "      <td>2791.770020</td>\n",
       "      <td>2756.699951</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>1257700</td>\n",
       "      <td>March</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 06:00:00</th>\n",
       "      <td>2774.050049</td>\n",
       "      <td>2791.770020</td>\n",
       "      <td>2756.699951</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>1257700</td>\n",
       "      <td>March</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 12:00:00</th>\n",
       "      <td>2774.050049</td>\n",
       "      <td>2791.770020</td>\n",
       "      <td>2756.699951</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>1257700</td>\n",
       "      <td>March</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 18:00:00</th>\n",
       "      <td>2774.050049</td>\n",
       "      <td>2791.770020</td>\n",
       "      <td>2756.699951</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>1257700</td>\n",
       "      <td>March</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-24 00:00:00</th>\n",
       "      <td>2784.000000</td>\n",
       "      <td>2832.379883</td>\n",
       "      <td>2755.010010</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>1317900</td>\n",
       "      <td>March</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25705 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Open         High          Low        Close  \\\n",
       "Date                                                                      \n",
       "2004-08-19 00:00:00    50.050049    52.082081    48.028027    50.220219   \n",
       "2004-08-19 06:00:00    50.050049    52.082081    48.028027    50.220219   \n",
       "2004-08-19 12:00:00    50.050049    52.082081    48.028027    50.220219   \n",
       "2004-08-19 18:00:00    50.050049    52.082081    48.028027    50.220219   \n",
       "2004-08-20 00:00:00    50.555557    54.594597    50.300301    54.209209   \n",
       "...                          ...          ...          ...          ...   \n",
       "2022-03-23 00:00:00  2774.050049  2791.770020  2756.699951  2765.510010   \n",
       "2022-03-23 06:00:00  2774.050049  2791.770020  2756.699951  2765.510010   \n",
       "2022-03-23 12:00:00  2774.050049  2791.770020  2756.699951  2765.510010   \n",
       "2022-03-23 18:00:00  2774.050049  2791.770020  2756.699951  2765.510010   \n",
       "2022-03-24 00:00:00  2784.000000  2832.379883  2755.010010  2831.439941   \n",
       "\n",
       "                       Adj Close    Volume month_name weekday_name  quarter  \n",
       "Date                                                                         \n",
       "2004-08-19 00:00:00    50.220219  44659096     August     Thursday        3  \n",
       "2004-08-19 06:00:00    50.220219  44659096     August     Thursday        3  \n",
       "2004-08-19 12:00:00    50.220219  44659096     August     Thursday        3  \n",
       "2004-08-19 18:00:00    50.220219  44659096     August     Thursday        3  \n",
       "2004-08-20 00:00:00    54.209209  22834343     August       Friday        3  \n",
       "...                          ...       ...        ...          ...      ...  \n",
       "2022-03-23 00:00:00  2765.510010   1257700      March    Wednesday        1  \n",
       "2022-03-23 06:00:00  2765.510010   1257700      March    Wednesday        1  \n",
       "2022-03-23 12:00:00  2765.510010   1257700      March    Wednesday        1  \n",
       "2022-03-23 18:00:00  2765.510010   1257700      March    Wednesday        1  \n",
       "2022-03-24 00:00:00  2831.439941   1317900      March     Thursday        1  \n",
       "\n",
       "[25705 rows x 9 columns]"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.asfreq('6H',method='ffill') # 2 methods to fill NaN values.. fwdfill,backfill"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "852d7b11",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>month_name</th>\n",
       "      <th>weekday_name</th>\n",
       "      <th>quarter</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-08-19 00:00:00</th>\n",
       "      <td>50.050049</td>\n",
       "      <td>52.082081</td>\n",
       "      <td>48.028027</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>50.220219</td>\n",
       "      <td>44659096</td>\n",
       "      <td>August</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-19 06:00:00</th>\n",
       "      <td>50.555557</td>\n",
       "      <td>54.594597</td>\n",
       "      <td>50.300301</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>22834343</td>\n",
       "      <td>August</td>\n",
       "      <td>Friday</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-19 12:00:00</th>\n",
       "      <td>50.555557</td>\n",
       "      <td>54.594597</td>\n",
       "      <td>50.300301</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>22834343</td>\n",
       "      <td>August</td>\n",
       "      <td>Friday</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-19 18:00:00</th>\n",
       "      <td>50.555557</td>\n",
       "      <td>54.594597</td>\n",
       "      <td>50.300301</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>22834343</td>\n",
       "      <td>August</td>\n",
       "      <td>Friday</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-20 00:00:00</th>\n",
       "      <td>50.555557</td>\n",
       "      <td>54.594597</td>\n",
       "      <td>50.300301</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>54.209209</td>\n",
       "      <td>22834343</td>\n",
       "      <td>August</td>\n",
       "      <td>Friday</td>\n",
       "      <td>3</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 00:00:00</th>\n",
       "      <td>2774.050049</td>\n",
       "      <td>2791.770020</td>\n",
       "      <td>2756.699951</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>2765.510010</td>\n",
       "      <td>1257700</td>\n",
       "      <td>March</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 06:00:00</th>\n",
       "      <td>2784.000000</td>\n",
       "      <td>2832.379883</td>\n",
       "      <td>2755.010010</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>1317900</td>\n",
       "      <td>March</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 12:00:00</th>\n",
       "      <td>2784.000000</td>\n",
       "      <td>2832.379883</td>\n",
       "      <td>2755.010010</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>1317900</td>\n",
       "      <td>March</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-23 18:00:00</th>\n",
       "      <td>2784.000000</td>\n",
       "      <td>2832.379883</td>\n",
       "      <td>2755.010010</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>1317900</td>\n",
       "      <td>March</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-24 00:00:00</th>\n",
       "      <td>2784.000000</td>\n",
       "      <td>2832.379883</td>\n",
       "      <td>2755.010010</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>2831.439941</td>\n",
       "      <td>1317900</td>\n",
       "      <td>March</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25705 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Open         High          Low        Close  \\\n",
       "Date                                                                      \n",
       "2004-08-19 00:00:00    50.050049    52.082081    48.028027    50.220219   \n",
       "2004-08-19 06:00:00    50.555557    54.594597    50.300301    54.209209   \n",
       "2004-08-19 12:00:00    50.555557    54.594597    50.300301    54.209209   \n",
       "2004-08-19 18:00:00    50.555557    54.594597    50.300301    54.209209   \n",
       "2004-08-20 00:00:00    50.555557    54.594597    50.300301    54.209209   \n",
       "...                          ...          ...          ...          ...   \n",
       "2022-03-23 00:00:00  2774.050049  2791.770020  2756.699951  2765.510010   \n",
       "2022-03-23 06:00:00  2784.000000  2832.379883  2755.010010  2831.439941   \n",
       "2022-03-23 12:00:00  2784.000000  2832.379883  2755.010010  2831.439941   \n",
       "2022-03-23 18:00:00  2784.000000  2832.379883  2755.010010  2831.439941   \n",
       "2022-03-24 00:00:00  2784.000000  2832.379883  2755.010010  2831.439941   \n",
       "\n",
       "                       Adj Close    Volume month_name weekday_name  quarter  \n",
       "Date                                                                         \n",
       "2004-08-19 00:00:00    50.220219  44659096     August     Thursday        3  \n",
       "2004-08-19 06:00:00    54.209209  22834343     August       Friday        3  \n",
       "2004-08-19 12:00:00    54.209209  22834343     August       Friday        3  \n",
       "2004-08-19 18:00:00    54.209209  22834343     August       Friday        3  \n",
       "2004-08-20 00:00:00    54.209209  22834343     August       Friday        3  \n",
       "...                          ...       ...        ...          ...      ...  \n",
       "2022-03-23 00:00:00  2765.510010   1257700      March    Wednesday        1  \n",
       "2022-03-23 06:00:00  2831.439941   1317900      March     Thursday        1  \n",
       "2022-03-23 12:00:00  2831.439941   1317900      March     Thursday        1  \n",
       "2022-03-23 18:00:00  2831.439941   1317900      March     Thursday        1  \n",
       "2022-03-24 00:00:00  2831.439941   1317900      March     Thursday        1  \n",
       "\n",
       "[25705 rows x 9 columns]"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google.asfreq('6H',method='bfill')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "f336be36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# quarterly trend\n",
    "\n",
    "google['Close'].asfreq('Q').plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "39fb76c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='month_name'>"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "google.groupby('month_name')['Close'].mean().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "d68ca058",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='quarter'>"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "google.groupby('quarter')['Close'].mean().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3703879c",
   "metadata": {},
   "source": [
    "## Resampling"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24fd2e34",
   "metadata": {},
   "source": [
    "Resampling involves changing the frequency of your time series observations.\n",
    "\n",
    "Two types of resampling are:\n",
    "\n",
    "* Upsampling: Where you increase the frequency of the samples, such as from minutes to seconds.\n",
    "* Downsampling: Where you decrease the frequency of the samples, such as from days to months\n",
    "\n",
    "if ur data is too noisy with many spikes, downsampling will helps to analyse the pattern"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "943770ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "google['Close'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "71396317",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "google['Close'].resample('W').mean().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "5c0f9665",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "google['Close'].plot()\n",
    "google['Close'].resample('W').mean().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "fa85db36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "google['Close'].plot()\n",
    "google['Close'].resample('M').mean().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "c13fef6a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "google['Close'].plot()\n",
    "google['Close'].resample('Q').mean().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "e44d4f68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#upsampling\n",
    "\n",
    "google['Close'].resample('H').interpolate(method='linear').plot() # H->hourly.. during upsampling, there will be missing values..fill it with some methods"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "413bd486",
   "metadata": {},
   "source": [
    "## Rolling Window(Smoothing)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ee5ebc9",
   "metadata": {},
   "source": [
    "Time series data in original format can be quite volatile, especially on smaller aggregation levels. \n",
    "The concept of rolling, or moving averages is a useful technique for smoothing time series data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96aaecad",
   "metadata": {},
   "source": [
    "## Shifting"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b6605b3",
   "metadata": {},
   "source": [
    "The shift() function in Pandas is used to, well, shift the entire series up or down by the desired number of periods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a2cf5ba2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}