notebooks/3-data-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ML Clustering - Network Intrusion Detection\n",
    "## Part 2 - DATA ANALYSIS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we load the processed dataset file and analyze it using PCA and KMeans.\n",
    "\n",
    "> **INPUT:** the ready dataset csv file as cleaned and processed in the previous phases.<br>\n",
    "> **OUTPUT:** the analysis of the obtained clusters as well as a distance threshold to spot anomalous connections."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. INITIALIZATION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import necessary libraries and modules\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.cluster import KMeans\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set display options\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. LOADING DATASET"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize required variables to read the processed data file\n",
    "data_file_location = \"..\\\\data\\\\processed\\\\\"\n",
    "data_file_name = \"kddcup99_processed\"\n",
    "data_file_ext = \".csv\"\n",
    "\n",
    "# Read the dataset\n",
    "data = pd.read_csv(data_file_location + data_file_name + data_file_ext, index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <th>dst_host_same_src_port_rate</th>\n",
       "      <th>dst_host_srv_diff_host_rate</th>\n",
       "      <th>dst_host_serror_rate</th>\n",
       "      <th>dst_host_srv_serror_rate</th>\n",
       "      <th>dst_host_rerror_rate</th>\n",
       "      <th>dst_host_srv_rerror_rate</th>\n",
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       "      <th>flag_RSTO</th>\n",
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       "      <th>flag_SH</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.160795</td>\n",
       "      <td>-0.011423</td>\n",
       "      <td>0.101928</td>\n",
       "      <td>-0.002678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.002245</td>\n",
       "      <td>-0.053064</td>\n",
       "      <td>-0.007497</td>\n",
       "      <td>0.628588</td>\n",
       "      <td>-0.004429</td>\n",
       "      <td>-0.017592</td>\n",
       "      <td>-0.010144</td>\n",
       "      <td>-0.00734</td>\n",
       "      <td>-0.021222</td>\n",
       "      <td>-0.018913</td>\n",
       "      <td>-0.06445</td>\n",
       "      <td>-0.001431</td>\n",
       "      <td>-0.062316</td>\n",
       "      <td>-0.276391</td>\n",
       "      <td>-0.339602</td>\n",
       "      <td>-0.058059</td>\n",
       "      <td>-0.065373</td>\n",
       "      <td>-0.244321</td>\n",
       "      <td>-0.246814</td>\n",
       "      <td>0.160559</td>\n",
       "      <td>-0.157977</td>\n",
       "      <td>-0.478531</td>\n",
       "      <td>-1.439325</td>\n",
       "      <td>-2.318697</td>\n",
       "      <td>-2.759007</td>\n",
       "      <td>-0.313569</td>\n",
       "      <td>-0.480341</td>\n",
       "      <td>-0.478684</td>\n",
       "      <td>-0.070608</td>\n",
       "      <td>-0.057352</td>\n",
       "      <td>-0.256661</td>\n",
       "      <td>-0.255531</td>\n",
       "      <td>-0.125600</td>\n",
       "      <td>0.517992</td>\n",
       "      <td>-0.493777</td>\n",
       "      <td>-0.191654</td>\n",
       "      <td>-0.250813</td>\n",
       "      <td>-0.201528</td>\n",
       "      <td>0.759521</td>\n",
       "      <td>-0.247942</td>\n",
       "      <td>-0.287968</td>\n",
       "      <td>-0.329058</td>\n",
       "      <td>-0.003649</td>\n",
       "      <td>-0.241205</td>\n",
       "      <td>-0.024903</td>\n",
       "      <td>-0.018748</td>\n",
       "      <td>-0.034907</td>\n",
       "      <td>-0.023263</td>\n",
       "      <td>-0.01252</td>\n",
       "      <td>-0.006865</td>\n",
       "      <td>0.247974</td>\n",
       "      <td>-0.001431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.160795</td>\n",
       "      <td>-0.011904</td>\n",
       "      <td>0.002200</td>\n",
       "      <td>-0.002678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.002245</td>\n",
       "      <td>-0.053064</td>\n",
       "      <td>-0.007497</td>\n",
       "      <td>0.628588</td>\n",
       "      <td>-0.004429</td>\n",
       "      <td>-0.017592</td>\n",
       "      <td>-0.010144</td>\n",
       "      <td>-0.00734</td>\n",
       "      <td>-0.021222</td>\n",
       "      <td>-0.018913</td>\n",
       "      <td>-0.06445</td>\n",
       "      <td>-0.001431</td>\n",
       "      <td>-0.062316</td>\n",
       "      <td>-0.244088</td>\n",
       "      <td>-0.309068</td>\n",
       "      <td>-0.058059</td>\n",
       "      <td>-0.065373</td>\n",
       "      <td>-0.244321</td>\n",
       "      <td>-0.246814</td>\n",
       "      <td>0.160559</td>\n",
       "      <td>-0.157977</td>\n",
       "      <td>-0.478531</td>\n",
       "      <td>-1.429656</td>\n",
       "      <td>-2.307216</td>\n",
       "      <td>0.508189</td>\n",
       "      <td>-0.313569</td>\n",
       "      <td>3.027331</td>\n",
       "      <td>-0.478684</td>\n",
       "      <td>-0.070608</td>\n",
       "      <td>-0.057352</td>\n",
       "      <td>-0.256661</td>\n",
       "      <td>-0.255531</td>\n",
       "      <td>-0.125600</td>\n",
       "      <td>0.517992</td>\n",
       "      <td>-0.493777</td>\n",
       "      <td>-0.191654</td>\n",
       "      <td>-0.250813</td>\n",
       "      <td>-0.201528</td>\n",
       "      <td>0.759521</td>\n",
       "      <td>-0.247942</td>\n",
       "      <td>-0.287968</td>\n",
       "      <td>-0.329058</td>\n",
       "      <td>-0.003649</td>\n",
       "      <td>-0.241205</td>\n",
       "      <td>-0.024903</td>\n",
       "      <td>-0.018748</td>\n",
       "      <td>-0.034907</td>\n",
       "      <td>-0.023263</td>\n",
       "      <td>-0.01252</td>\n",
       "      <td>-0.006865</td>\n",
       "      <td>0.247974</td>\n",
       "      <td>-0.001431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.160795</td>\n",
       "      <td>-0.011233</td>\n",
       "      <td>-0.005916</td>\n",
       "      <td>-0.002678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.002245</td>\n",
       "      <td>-0.053064</td>\n",
       "      <td>-0.007497</td>\n",
       "      <td>0.628588</td>\n",
       "      <td>-0.004429</td>\n",
       "      <td>-0.017592</td>\n",
       "      <td>-0.010144</td>\n",
       "      <td>-0.00734</td>\n",
       "      <td>-0.021222</td>\n",
       "      <td>-0.018913</td>\n",
       "      <td>-0.06445</td>\n",
       "      <td>-0.001431</td>\n",
       "      <td>-0.062316</td>\n",
       "      <td>-0.276391</td>\n",
       "      <td>-0.339602</td>\n",
       "      <td>-0.058059</td>\n",
       "      <td>-0.065373</td>\n",
       "      <td>-0.244321</td>\n",
       "      <td>-0.246814</td>\n",
       "      <td>0.160559</td>\n",
       "      <td>-0.157977</td>\n",
       "      <td>-0.478531</td>\n",
       "      <td>-1.419987</td>\n",
       "      <td>-2.295734</td>\n",
       "      <td>0.508189</td>\n",
       "      <td>-0.313569</td>\n",
       "      <td>1.273495</td>\n",
       "      <td>-0.478684</td>\n",
       "      <td>-0.070608</td>\n",
       "      <td>-0.057352</td>\n",
       "      <td>-0.256661</td>\n",
       "      <td>-0.255531</td>\n",
       "      <td>-0.125600</td>\n",
       "      <td>0.517992</td>\n",
       "      <td>-0.493777</td>\n",
       "      <td>-0.191654</td>\n",
       "      <td>-0.250813</td>\n",
       "      <td>-0.201528</td>\n",
       "      <td>0.759521</td>\n",
       "      <td>-0.247942</td>\n",
       "      <td>-0.287968</td>\n",
       "      <td>-0.329058</td>\n",
       "      <td>-0.003649</td>\n",
       "      <td>-0.241205</td>\n",
       "      <td>-0.024903</td>\n",
       "      <td>-0.018748</td>\n",
       "      <td>-0.034907</td>\n",
       "      <td>-0.023263</td>\n",
       "      <td>-0.01252</td>\n",
       "      <td>-0.006865</td>\n",
       "      <td>0.247974</td>\n",
       "      <td>-0.001431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.160795</td>\n",
       "      <td>-0.011260</td>\n",
       "      <td>-0.003939</td>\n",
       "      <td>-0.002678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.002245</td>\n",
       "      <td>-0.053064</td>\n",
       "      <td>-0.007497</td>\n",
       "      <td>0.628588</td>\n",
       "      <td>-0.004429</td>\n",
       "      <td>-0.017592</td>\n",
       "      <td>-0.010144</td>\n",
       "      <td>-0.00734</td>\n",
       "      <td>-0.021222</td>\n",
       "      <td>-0.018913</td>\n",
       "      <td>-0.06445</td>\n",
       "      <td>-0.001431</td>\n",
       "      <td>-0.062316</td>\n",
       "      <td>-0.244088</td>\n",
       "      <td>-0.309068</td>\n",
       "      <td>-0.058059</td>\n",
       "      <td>-0.065373</td>\n",
       "      <td>-0.244321</td>\n",
       "      <td>-0.246814</td>\n",
       "      <td>0.160559</td>\n",
       "      <td>-0.157977</td>\n",
       "      <td>-0.478531</td>\n",
       "      <td>-1.410318</td>\n",
       "      <td>-2.284253</td>\n",
       "      <td>0.508189</td>\n",
       "      <td>-0.313569</td>\n",
       "      <td>0.677190</td>\n",
       "      <td>-0.478684</td>\n",
       "      <td>-0.070608</td>\n",
       "      <td>-0.057352</td>\n",
       "      <td>-0.256661</td>\n",
       "      <td>-0.255531</td>\n",
       "      <td>-0.125600</td>\n",
       "      <td>0.517992</td>\n",
       "      <td>-0.493777</td>\n",
       "      <td>-0.191654</td>\n",
       "      <td>-0.250813</td>\n",
       "      <td>-0.201528</td>\n",
       "      <td>0.759521</td>\n",
       "      <td>-0.247942</td>\n",
       "      <td>-0.287968</td>\n",
       "      <td>-0.329058</td>\n",
       "      <td>-0.003649</td>\n",
       "      <td>-0.241205</td>\n",
       "      <td>-0.024903</td>\n",
       "      <td>-0.018748</td>\n",
       "      <td>-0.034907</td>\n",
       "      <td>-0.023263</td>\n",
       "      <td>-0.01252</td>\n",
       "      <td>-0.006865</td>\n",
       "      <td>0.247974</td>\n",
       "      <td>-0.001431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.160795</td>\n",
       "      <td>-0.011205</td>\n",
       "      <td>-0.007741</td>\n",
       "      <td>-0.002678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.002245</td>\n",
       "      <td>-0.053064</td>\n",
       "      <td>-0.007497</td>\n",
       "      <td>0.628588</td>\n",
       "      <td>-0.004429</td>\n",
       "      <td>-0.017592</td>\n",
       "      <td>-0.010144</td>\n",
       "      <td>-0.00734</td>\n",
       "      <td>-0.021222</td>\n",
       "      <td>-0.018913</td>\n",
       "      <td>-0.06445</td>\n",
       "      <td>-0.001431</td>\n",
       "      <td>-0.062316</td>\n",
       "      <td>-0.211785</td>\n",
       "      <td>-0.278533</td>\n",
       "      <td>-0.058059</td>\n",
       "      <td>-0.065373</td>\n",
       "      <td>-0.244321</td>\n",
       "      <td>-0.246814</td>\n",
       "      <td>0.160559</td>\n",
       "      <td>-0.157977</td>\n",
       "      <td>-0.478531</td>\n",
       "      <td>-1.400650</td>\n",
       "      <td>-2.272772</td>\n",
       "      <td>0.508189</td>\n",
       "      <td>-0.313569</td>\n",
       "      <td>0.396577</td>\n",
       "      <td>-0.478684</td>\n",
       "      <td>-0.070608</td>\n",
       "      <td>-0.057352</td>\n",
       "      <td>-0.256661</td>\n",
       "      <td>-0.255531</td>\n",
       "      <td>-0.125600</td>\n",
       "      <td>0.517992</td>\n",
       "      <td>-0.493777</td>\n",
       "      <td>-0.191654</td>\n",
       "      <td>-0.250813</td>\n",
       "      <td>-0.201528</td>\n",
       "      <td>0.759521</td>\n",
       "      <td>-0.247942</td>\n",
       "      <td>-0.287968</td>\n",
       "      <td>-0.329058</td>\n",
       "      <td>-0.003649</td>\n",
       "      <td>-0.241205</td>\n",
       "      <td>-0.024903</td>\n",
       "      <td>-0.018748</td>\n",
       "      <td>-0.034907</td>\n",
       "      <td>-0.023263</td>\n",
       "      <td>-0.01252</td>\n",
       "      <td>-0.006865</td>\n",
       "      <td>0.247974</td>\n",
       "      <td>-0.001431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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>976153</th>\n",
       "      <td>-0.160795</td>\n",
       "      <td>-0.013372</td>\n",
       "      <td>-0.008937</td>\n",
       "      <td>-0.002678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.002245</td>\n",
       "      <td>-0.053064</td>\n",
       "      <td>-0.007497</td>\n",
       "      <td>-1.590866</td>\n",
       "      <td>-0.004429</td>\n",
       "      <td>-0.017592</td>\n",
       "      <td>-0.010144</td>\n",
       "      <td>-0.00734</td>\n",
       "      <td>-0.021222</td>\n",
       "      <td>-0.018913</td>\n",
       "      <td>-0.06445</td>\n",
       "      <td>-0.001431</td>\n",
       "      <td>-0.062316</td>\n",
       "      <td>7.896239</td>\n",
       "      <td>0.118413</td>\n",
       "      <td>25.615965</td>\n",
       "      <td>26.070572</td>\n",
       "      <td>-0.244321</td>\n",
       "      <td>-0.246814</td>\n",
       "      <td>-9.505103</td>\n",
       "      <td>0.353134</td>\n",
       "      <td>-0.478531</td>\n",
       "      <td>1.026245</td>\n",
       "      <td>-2.134994</td>\n",
       "      <td>-2.562975</td>\n",
       "      <td>0.075690</td>\n",
       "      <td>-0.480341</td>\n",
       "      <td>-0.478684</td>\n",
       "      <td>25.002311</td>\n",
       "      <td>31.300589</td>\n",
       "      <td>-0.256661</td>\n",
       "      <td>-0.255531</td>\n",
       "      <td>-0.125600</td>\n",
       "      <td>0.517992</td>\n",
       "      <td>-0.493777</td>\n",
       "      <td>-0.191654</td>\n",
       "      <td>-0.250813</td>\n",
       "      <td>-0.201528</td>\n",
       "      <td>-1.316619</td>\n",
       "      <td>-0.247942</td>\n",
       "      <td>3.472603</td>\n",
       "      <td>-0.329058</td>\n",
       "      <td>-0.003649</td>\n",
       "      <td>-0.241205</td>\n",
       "      <td>-0.024903</td>\n",
       "      <td>-0.018748</td>\n",
       "      <td>28.647545</td>\n",
       "      <td>-0.023263</td>\n",
       "      <td>-0.01252</td>\n",
       "      <td>-0.006865</td>\n",
       "      <td>-4.032675</td>\n",
       "      <td>-0.001431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976154</th>\n",
       "      <td>-0.160795</td>\n",
       "      <td>-0.004017</td>\n",
       "      <td>-0.008937</td>\n",
       "      <td>-0.002678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.002245</td>\n",
       "      <td>-0.053064</td>\n",
       "      <td>-0.007497</td>\n",
       "      <td>-1.590866</td>\n",
       "      <td>-0.004429</td>\n",
       "      <td>-0.017592</td>\n",
       "      <td>-0.010144</td>\n",
       "      <td>-0.00734</td>\n",
       "      <td>-0.021222</td>\n",
       "      <td>-0.018913</td>\n",
       "      <td>-0.06445</td>\n",
       "      <td>-0.001431</td>\n",
       "      <td>-0.062316</td>\n",
       "      <td>16.198080</td>\n",
       "      <td>15.232903</td>\n",
       "      <td>-0.058059</td>\n",
       "      <td>-0.065373</td>\n",
       "      <td>-0.244321</td>\n",
       "      <td>-0.246814</td>\n",
       "      <td>0.160559</td>\n",
       "      <td>-0.157977</td>\n",
       "      <td>-0.478531</td>\n",
       "      <td>1.026245</td>\n",
       "      <td>0.609074</td>\n",
       "      <td>0.508189</td>\n",
       "      <td>-0.313569</td>\n",
       "      <td>3.027331</td>\n",
       "      <td>-0.478684</td>\n",
       "      <td>-0.070608</td>\n",
       "      <td>-0.057352</td>\n",
       "      <td>-0.256661</td>\n",
       "      <td>-0.255531</td>\n",
       "      <td>7.961807</td>\n",
       "      <td>-1.930531</td>\n",
       "      <td>-0.493777</td>\n",
       "      <td>5.217748</td>\n",
       "      <td>-0.250813</td>\n",
       "      <td>-0.201528</td>\n",
       "      <td>-1.316619</td>\n",
       "      <td>-0.247942</td>\n",
       "      <td>-0.287968</td>\n",
       "      <td>-0.329058</td>\n",
       "      <td>-0.003649</td>\n",
       "      <td>-0.241205</td>\n",
       "      <td>-0.024903</td>\n",
       "      <td>-0.018748</td>\n",
       "      <td>-0.034907</td>\n",
       "      <td>-0.023263</td>\n",
       "      <td>-0.01252</td>\n",
       "      <td>-0.006865</td>\n",
       "      <td>0.247974</td>\n",
       "      <td>-0.001431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976155</th>\n",
       "      <td>-0.160795</td>\n",
       "      <td>-0.004017</td>\n",
       "      <td>-0.008937</td>\n",
       "      <td>-0.002678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.002245</td>\n",
       "      <td>-0.053064</td>\n",
       "      <td>-0.007497</td>\n",
       "      <td>-1.590866</td>\n",
       "      <td>-0.004429</td>\n",
       "      <td>-0.017592</td>\n",
       "      <td>-0.010144</td>\n",
       "      <td>-0.00734</td>\n",
       "      <td>-0.021222</td>\n",
       "      <td>-0.018913</td>\n",
       "      <td>-0.06445</td>\n",
       "      <td>-0.001431</td>\n",
       "      <td>-0.062316</td>\n",
       "      <td>16.198080</td>\n",
       "      <td>15.232903</td>\n",
       "      <td>-0.058059</td>\n",
       "      <td>-0.065373</td>\n",
       "      <td>-0.244321</td>\n",
       "      <td>-0.246814</td>\n",
       "      <td>0.160559</td>\n",
       "      <td>-0.157977</td>\n",
       "      <td>-0.478531</td>\n",
       "      <td>1.026245</td>\n",
       "      <td>0.609074</td>\n",
       "      <td>0.508189</td>\n",
       "      <td>-0.313569</td>\n",
       "      <td>3.027331</td>\n",
       "      <td>-0.478684</td>\n",
       "      <td>-0.070608</td>\n",
       "      <td>-0.057352</td>\n",
       "      <td>-0.256661</td>\n",
       "      <td>-0.255531</td>\n",
       "      <td>7.961807</td>\n",
       "      <td>-1.930531</td>\n",
       "      <td>-0.493777</td>\n",
       "      <td>5.217748</td>\n",
       "      <td>-0.250813</td>\n",
       "      <td>-0.201528</td>\n",
       "      <td>-1.316619</td>\n",
       "      <td>-0.247942</td>\n",
       "      <td>-0.287968</td>\n",
       "      <td>-0.329058</td>\n",
       "      <td>-0.003649</td>\n",
       "      <td>-0.241205</td>\n",
       "      <td>-0.024903</td>\n",
       "      <td>-0.018748</td>\n",
       "      <td>-0.034907</td>\n",
       "      <td>-0.023263</td>\n",
       "      <td>-0.01252</td>\n",
       "      <td>-0.006865</td>\n",
       "      <td>0.247974</td>\n",
       "      <td>-0.001431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976156</th>\n",
       "      <td>-0.160795</td>\n",
       "      <td>-0.004017</td>\n",
       "      <td>-0.008937</td>\n",
       "      <td>-0.002678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.002245</td>\n",
       "      <td>-0.053064</td>\n",
       "      <td>-0.007497</td>\n",
       "      <td>-1.590866</td>\n",
       "      <td>-0.004429</td>\n",
       "      <td>-0.017592</td>\n",
       "      <td>-0.010144</td>\n",
       "      <td>-0.00734</td>\n",
       "      <td>-0.021222</td>\n",
       "      <td>-0.018913</td>\n",
       "      <td>-0.06445</td>\n",
       "      <td>-0.001431</td>\n",
       "      <td>-0.062316</td>\n",
       "      <td>16.198080</td>\n",
       "      <td>15.232903</td>\n",
       "      <td>-0.058059</td>\n",
       "      <td>-0.065373</td>\n",
       "      <td>-0.244321</td>\n",
       "      <td>-0.246814</td>\n",
       "      <td>0.160559</td>\n",
       "      <td>-0.157977</td>\n",
       "      <td>-0.478531</td>\n",
       "      <td>1.026245</td>\n",
       "      <td>0.609074</td>\n",
       "      <td>0.508189</td>\n",
       "      <td>-0.313569</td>\n",
       "      <td>3.027331</td>\n",
       "      <td>-0.478684</td>\n",
       "      <td>-0.070608</td>\n",
       "      <td>-0.057352</td>\n",
       "      <td>-0.256661</td>\n",
       "      <td>-0.255531</td>\n",
       "      <td>7.961807</td>\n",
       "      <td>-1.930531</td>\n",
       "      <td>-0.493777</td>\n",
       "      <td>5.217748</td>\n",
       "      <td>-0.250813</td>\n",
       "      <td>-0.201528</td>\n",
       "      <td>-1.316619</td>\n",
       "      <td>-0.247942</td>\n",
       "      <td>-0.287968</td>\n",
       "      <td>-0.329058</td>\n",
       "      <td>-0.003649</td>\n",
       "      <td>-0.241205</td>\n",
       "      <td>-0.024903</td>\n",
       "      <td>-0.018748</td>\n",
       "      <td>-0.034907</td>\n",
       "      <td>-0.023263</td>\n",
       "      <td>-0.01252</td>\n",
       "      <td>-0.006865</td>\n",
       "      <td>0.247974</td>\n",
       "      <td>-0.001431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976157</th>\n",
       "      <td>-0.160795</td>\n",
       "      <td>-0.004017</td>\n",
       "      <td>-0.008937</td>\n",
       "      <td>-0.002678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.002245</td>\n",
       "      <td>-0.053064</td>\n",
       "      <td>-0.007497</td>\n",
       "      <td>-1.590866</td>\n",
       "      <td>-0.004429</td>\n",
       "      <td>-0.017592</td>\n",
       "      <td>-0.010144</td>\n",
       "      <td>-0.00734</td>\n",
       "      <td>-0.021222</td>\n",
       "      <td>-0.018913</td>\n",
       "      <td>-0.06445</td>\n",
       "      <td>-0.001431</td>\n",
       "      <td>-0.062316</td>\n",
       "      <td>16.198080</td>\n",
       "      <td>15.232903</td>\n",
       "      <td>-0.058059</td>\n",
       "      <td>-0.065373</td>\n",
       "      <td>-0.244321</td>\n",
       "      <td>-0.246814</td>\n",
       "      <td>0.160559</td>\n",
       "      <td>-0.157977</td>\n",
       "      <td>-0.478531</td>\n",
       "      <td>1.026245</td>\n",
       "      <td>0.609074</td>\n",
       "      <td>0.508189</td>\n",
       "      <td>-0.313569</td>\n",
       "      <td>3.027331</td>\n",
       "      <td>-0.478684</td>\n",
       "      <td>-0.070608</td>\n",
       "      <td>-0.057352</td>\n",
       "      <td>-0.256661</td>\n",
       "      <td>-0.255531</td>\n",
       "      <td>7.961807</td>\n",
       "      <td>-1.930531</td>\n",
       "      <td>-0.493777</td>\n",
       "      <td>5.217748</td>\n",
       "      <td>-0.250813</td>\n",
       "      <td>-0.201528</td>\n",
       "      <td>-1.316619</td>\n",
       "      <td>-0.247942</td>\n",
       "      <td>-0.287968</td>\n",
       "      <td>-0.329058</td>\n",
       "      <td>-0.003649</td>\n",
       "      <td>-0.241205</td>\n",
       "      <td>-0.024903</td>\n",
       "      <td>-0.018748</td>\n",
       "      <td>-0.034907</td>\n",
       "      <td>-0.023263</td>\n",
       "      <td>-0.01252</td>\n",
       "      <td>-0.006865</td>\n",
       "      <td>0.247974</td>\n",
       "      <td>-0.001431</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>976158 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        duration  src_bytes  dst_bytes      land  wrong_fragment    urgent  \\\n",
       "0      -0.160795  -0.011423   0.101928 -0.002678             0.0 -0.002245   \n",
       "1      -0.160795  -0.011904   0.002200 -0.002678             0.0 -0.002245   \n",
       "2      -0.160795  -0.011233  -0.005916 -0.002678             0.0 -0.002245   \n",
       "3      -0.160795  -0.011260  -0.003939 -0.002678             0.0 -0.002245   \n",
       "4      -0.160795  -0.011205  -0.007741 -0.002678             0.0 -0.002245   \n",
       "...          ...        ...        ...       ...             ...       ...   \n",
       "976153 -0.160795  -0.013372  -0.008937 -0.002678             0.0 -0.002245   \n",
       "976154 -0.160795  -0.004017  -0.008937 -0.002678             0.0 -0.002245   \n",
       "976155 -0.160795  -0.004017  -0.008937 -0.002678             0.0 -0.002245   \n",
       "976156 -0.160795  -0.004017  -0.008937 -0.002678             0.0 -0.002245   \n",
       "976157 -0.160795  -0.004017  -0.008937 -0.002678             0.0 -0.002245   \n",
       "\n",
       "             hot  num_failed_logins  logged_in  num_compromised  root_shell  \\\n",
       "0      -0.053064          -0.007497   0.628588        -0.004429   -0.017592   \n",
       "1      -0.053064          -0.007497   0.628588        -0.004429   -0.017592   \n",
       "2      -0.053064          -0.007497   0.628588        -0.004429   -0.017592   \n",
       "3      -0.053064          -0.007497   0.628588        -0.004429   -0.017592   \n",
       "4      -0.053064          -0.007497   0.628588        -0.004429   -0.017592   \n",
       "...          ...                ...        ...              ...         ...   \n",
       "976153 -0.053064          -0.007497  -1.590866        -0.004429   -0.017592   \n",
       "976154 -0.053064          -0.007497  -1.590866        -0.004429   -0.017592   \n",
       "976155 -0.053064          -0.007497  -1.590866        -0.004429   -0.017592   \n",
       "976156 -0.053064          -0.007497  -1.590866        -0.004429   -0.017592   \n",
       "976157 -0.053064          -0.007497  -1.590866        -0.004429   -0.017592   \n",
       "\n",
       "        su_attempted  num_root  num_file_creations  num_shells  \\\n",
       "0          -0.010144  -0.00734           -0.021222   -0.018913   \n",
       "1          -0.010144  -0.00734           -0.021222   -0.018913   \n",
       "2          -0.010144  -0.00734           -0.021222   -0.018913   \n",
       "3          -0.010144  -0.00734           -0.021222   -0.018913   \n",
       "4          -0.010144  -0.00734           -0.021222   -0.018913   \n",
       "...              ...       ...                 ...         ...   \n",
       "976153     -0.010144  -0.00734           -0.021222   -0.018913   \n",
       "976154     -0.010144  -0.00734           -0.021222   -0.018913   \n",
       "976155     -0.010144  -0.00734           -0.021222   -0.018913   \n",
       "976156     -0.010144  -0.00734           -0.021222   -0.018913   \n",
       "976157     -0.010144  -0.00734           -0.021222   -0.018913   \n",
       "\n",
       "        num_access_files  is_host_login  is_guest_login      count  srv_count  \\\n",
       "0               -0.06445      -0.001431       -0.062316  -0.276391  -0.339602   \n",
       "1               -0.06445      -0.001431       -0.062316  -0.244088  -0.309068   \n",
       "2               -0.06445      -0.001431       -0.062316  -0.276391  -0.339602   \n",
       "3               -0.06445      -0.001431       -0.062316  -0.244088  -0.309068   \n",
       "4               -0.06445      -0.001431       -0.062316  -0.211785  -0.278533   \n",
       "...                  ...            ...             ...        ...        ...   \n",
       "976153          -0.06445      -0.001431       -0.062316   7.896239   0.118413   \n",
       "976154          -0.06445      -0.001431       -0.062316  16.198080  15.232903   \n",
       "976155          -0.06445      -0.001431       -0.062316  16.198080  15.232903   \n",
       "976156          -0.06445      -0.001431       -0.062316  16.198080  15.232903   \n",
       "976157          -0.06445      -0.001431       -0.062316  16.198080  15.232903   \n",
       "\n",
       "        serror_rate  srv_serror_rate  rerror_rate  srv_rerror_rate  \\\n",
       "0         -0.058059        -0.065373    -0.244321        -0.246814   \n",
       "1         -0.058059        -0.065373    -0.244321        -0.246814   \n",
       "2         -0.058059        -0.065373    -0.244321        -0.246814   \n",
       "3         -0.058059        -0.065373    -0.244321        -0.246814   \n",
       "4         -0.058059        -0.065373    -0.244321        -0.246814   \n",
       "...             ...              ...          ...              ...   \n",
       "976153    25.615965        26.070572    -0.244321        -0.246814   \n",
       "976154    -0.058059        -0.065373    -0.244321        -0.246814   \n",
       "976155    -0.058059        -0.065373    -0.244321        -0.246814   \n",
       "976156    -0.058059        -0.065373    -0.244321        -0.246814   \n",
       "976157    -0.058059        -0.065373    -0.244321        -0.246814   \n",
       "\n",
       "        same_srv_rate  diff_srv_rate  srv_diff_host_rate  dst_host_count  \\\n",
       "0            0.160559      -0.157977           -0.478531       -1.439325   \n",
       "1            0.160559      -0.157977           -0.478531       -1.429656   \n",
       "2            0.160559      -0.157977           -0.478531       -1.419987   \n",
       "3            0.160559      -0.157977           -0.478531       -1.410318   \n",
       "4            0.160559      -0.157977           -0.478531       -1.400650   \n",
       "...               ...            ...                 ...             ...   \n",
       "976153      -9.505103       0.353134           -0.478531        1.026245   \n",
       "976154       0.160559      -0.157977           -0.478531        1.026245   \n",
       "976155       0.160559      -0.157977           -0.478531        1.026245   \n",
       "976156       0.160559      -0.157977           -0.478531        1.026245   \n",
       "976157       0.160559      -0.157977           -0.478531        1.026245   \n",
       "\n",
       "        dst_host_srv_count  dst_host_same_srv_rate  dst_host_diff_srv_rate  \\\n",
       "0                -2.318697               -2.759007               -0.313569   \n",
       "1                -2.307216                0.508189               -0.313569   \n",
       "2                -2.295734                0.508189               -0.313569   \n",
       "3                -2.284253                0.508189               -0.313569   \n",
       "4                -2.272772                0.508189               -0.313569   \n",
       "...                    ...                     ...                     ...   \n",
       "976153           -2.134994               -2.562975                0.075690   \n",
       "976154            0.609074                0.508189               -0.313569   \n",
       "976155            0.609074                0.508189               -0.313569   \n",
       "976156            0.609074                0.508189               -0.313569   \n",
       "976157            0.609074                0.508189               -0.313569   \n",
       "\n",
       "        dst_host_same_src_port_rate  dst_host_srv_diff_host_rate  \\\n",
       "0                         -0.480341                    -0.478684   \n",
       "1                          3.027331                    -0.478684   \n",
       "2                          1.273495                    -0.478684   \n",
       "3                          0.677190                    -0.478684   \n",
       "4                          0.396577                    -0.478684   \n",
       "...                             ...                          ...   \n",
       "976153                    -0.480341                    -0.478684   \n",
       "976154                     3.027331                    -0.478684   \n",
       "976155                     3.027331                    -0.478684   \n",
       "976156                     3.027331                    -0.478684   \n",
       "976157                     3.027331                    -0.478684   \n",
       "\n",
       "        dst_host_serror_rate  dst_host_srv_serror_rate  dst_host_rerror_rate  \\\n",
       "0                  -0.070608                 -0.057352             -0.256661   \n",
       "1                  -0.070608                 -0.057352             -0.256661   \n",
       "2                  -0.070608                 -0.057352             -0.256661   \n",
       "3                  -0.070608                 -0.057352             -0.256661   \n",
       "4                  -0.070608                 -0.057352             -0.256661   \n",
       "...                      ...                       ...                   ...   \n",
       "976153             25.002311                 31.300589             -0.256661   \n",
       "976154             -0.070608                 -0.057352             -0.256661   \n",
       "976155             -0.070608                 -0.057352             -0.256661   \n",
       "976156             -0.070608                 -0.057352             -0.256661   \n",
       "976157             -0.070608                 -0.057352             -0.256661   \n",
       "\n",
       "        dst_host_srv_rerror_rate  protocol_type_icmp  protocol_type_tcp  \\\n",
       "0                      -0.255531           -0.125600           0.517992   \n",
       "1                      -0.255531           -0.125600           0.517992   \n",
       "2                      -0.255531           -0.125600           0.517992   \n",
       "3                      -0.255531           -0.125600           0.517992   \n",
       "4                      -0.255531           -0.125600           0.517992   \n",
       "...                          ...                 ...                ...   \n",
       "976153                 -0.255531           -0.125600           0.517992   \n",
       "976154                 -0.255531            7.961807          -1.930531   \n",
       "976155                 -0.255531            7.961807          -1.930531   \n",
       "976156                 -0.255531            7.961807          -1.930531   \n",
       "976157                 -0.255531            7.961807          -1.930531   \n",
       "\n",
       "        protocol_type_udp  service_combined  service_domain_u  \\\n",
       "0               -0.493777         -0.191654         -0.250813   \n",
       "1               -0.493777         -0.191654         -0.250813   \n",
       "2               -0.493777         -0.191654         -0.250813   \n",
       "3               -0.493777         -0.191654         -0.250813   \n",
       "4               -0.493777         -0.191654         -0.250813   \n",
       "...                   ...               ...               ...   \n",
       "976153          -0.493777         -0.191654         -0.250813   \n",
       "976154          -0.493777          5.217748         -0.250813   \n",
       "976155          -0.493777          5.217748         -0.250813   \n",
       "976156          -0.493777          5.217748         -0.250813   \n",
       "976157          -0.493777          5.217748         -0.250813   \n",
       "\n",
       "        service_ftp_data  service_http  service_other  service_private  \\\n",
       "0              -0.201528      0.759521      -0.247942        -0.287968   \n",
       "1              -0.201528      0.759521      -0.247942        -0.287968   \n",
       "2              -0.201528      0.759521      -0.247942        -0.287968   \n",
       "3              -0.201528      0.759521      -0.247942        -0.287968   \n",
       "4              -0.201528      0.759521      -0.247942        -0.287968   \n",
       "...                  ...           ...            ...              ...   \n",
       "976153         -0.201528     -1.316619      -0.247942         3.472603   \n",
       "976154         -0.201528     -1.316619      -0.247942        -0.287968   \n",
       "976155         -0.201528     -1.316619      -0.247942        -0.287968   \n",
       "976156         -0.201528     -1.316619      -0.247942        -0.287968   \n",
       "976157         -0.201528     -1.316619      -0.247942        -0.287968   \n",
       "\n",
       "        service_smtp  flag_OTH  flag_REJ  flag_RSTO  flag_RSTR    flag_S0  \\\n",
       "0          -0.329058 -0.003649 -0.241205  -0.024903  -0.018748  -0.034907   \n",
       "1          -0.329058 -0.003649 -0.241205  -0.024903  -0.018748  -0.034907   \n",
       "2          -0.329058 -0.003649 -0.241205  -0.024903  -0.018748  -0.034907   \n",
       "3          -0.329058 -0.003649 -0.241205  -0.024903  -0.018748  -0.034907   \n",
       "4          -0.329058 -0.003649 -0.241205  -0.024903  -0.018748  -0.034907   \n",
       "...              ...       ...       ...        ...        ...        ...   \n",
       "976153     -0.329058 -0.003649 -0.241205  -0.024903  -0.018748  28.647545   \n",
       "976154     -0.329058 -0.003649 -0.241205  -0.024903  -0.018748  -0.034907   \n",
       "976155     -0.329058 -0.003649 -0.241205  -0.024903  -0.018748  -0.034907   \n",
       "976156     -0.329058 -0.003649 -0.241205  -0.024903  -0.018748  -0.034907   \n",
       "976157     -0.329058 -0.003649 -0.241205  -0.024903  -0.018748  -0.034907   \n",
       "\n",
       "         flag_S1  flag_S2   flag_S3   flag_SF   flag_SH  \n",
       "0      -0.023263 -0.01252 -0.006865  0.247974 -0.001431  \n",
       "1      -0.023263 -0.01252 -0.006865  0.247974 -0.001431  \n",
       "2      -0.023263 -0.01252 -0.006865  0.247974 -0.001431  \n",
       "3      -0.023263 -0.01252 -0.006865  0.247974 -0.001431  \n",
       "4      -0.023263 -0.01252 -0.006865  0.247974 -0.001431  \n",
       "...          ...      ...       ...       ...       ...  \n",
       "976153 -0.023263 -0.01252 -0.006865 -4.032675 -0.001431  \n",
       "976154 -0.023263 -0.01252 -0.006865  0.247974 -0.001431  \n",
       "976155 -0.023263 -0.01252 -0.006865  0.247974 -0.001431  \n",
       "976156 -0.023263 -0.01252 -0.006865  0.247974 -0.001431  \n",
       "976157 -0.023263 -0.01252 -0.006865  0.247974 -0.001431  \n",
       "\n",
       "[976158 rows x 57 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the dataset and its shape\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As discussed in the previous phase, the dataset is now ready for analysis using PCA and KMeans clustering."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. PRINCIPLE COMPONENT ANALYSIS (PCA)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The original dataset along with the performed preprocessing tasks has led to a relatively high number of variables, which may pose additional unnecessary overload during the clustering analysis. Specifically that some variables might not be as much useful and may contain no relevant information to perform the clustering.\n",
    "\n",
    "The goal of PCA is to convert the high-dimensional data distribution into a lower, more compact space. Namely by calculating new variables (so-called principle components) that represent the most important attributes in the original datasets.\n",
    "\n",
    "Since the PCA includes distance-based calculations, our dataset was prepared by converting all attributes into a standardized version, maintaining the variance distribution in a normalized scale."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*One last note, PCA is primarily designed to work with numerical (quantitative) variables. At the same time, our dataset has three categorical features which were encoded into binary vectors. This might not perfectly fit the use case of PCA and there are many discussions regarding the applicability of PCA on categorical (qualitative) features. However, since the main objective of this project is to demonstrate some experiments of several data analysis techniques/algorithms, we will proceed with PCA keeping in mind that in more realistic scenarios a deeper analysis will be definitely recommended.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Principle Components: 57\n",
      "[1.22678330e-01 1.05693169e-01 7.20899555e-02 5.24839392e-02\n",
      " 4.39725164e-02 4.24229588e-02 3.59102286e-02 3.12391672e-02\n",
      " 2.86274830e-02 2.45768707e-02 2.26217967e-02 2.13310792e-02\n",
      " 2.09323287e-02 1.94677012e-02 1.87409030e-02 1.84430430e-02\n",
      " 1.82048251e-02 1.81243869e-02 1.79923642e-02 1.78587759e-02\n",
      " 1.78575489e-02 1.77085010e-02 1.76213914e-02 1.75489300e-02\n",
      " 1.72717562e-02 1.71136568e-02 1.69608720e-02 1.67789420e-02\n",
      " 1.53490426e-02 1.39642473e-02 1.14244150e-02 9.47397923e-03\n",
      " 8.76946403e-03 8.27723173e-03 7.86583607e-03 5.30401644e-03\n",
      " 4.11486704e-03 3.87296284e-03 3.25206997e-03 3.16818532e-03\n",
      " 2.53551634e-03 2.04649555e-03 1.69053185e-03 1.42744611e-03\n",
      " 1.30775859e-03 1.23191150e-03 7.99023667e-04 6.44764106e-04\n",
      " 6.07023779e-04 3.06990137e-04 2.16353155e-04 4.57722375e-05\n",
      " 3.06740295e-05 3.08328682e-32 2.22675369e-32 1.82541351e-32\n",
      " 6.44165419e-34]\n"
     ]
    }
   ],
   "source": [
    "# Initialize the PCA analyzer\n",
    "pca = PCA()\n",
    "\n",
    "# Fit the PCA on our dataset and implement transformations\n",
    "pca_results = pca.fit_transform(data)\n",
    "\n",
    "# Print the number of resulting components\n",
    "print(f\"Number of Principle Components: {pca.n_components_}\")\n",
    "\n",
    "# Print the explained variance percentage for each components, which represent how much variance the resulting component holds in the dataset. \n",
    "print(pca.explained_variance_ratio_)\n",
    "\n",
    "# Save transformed data into a new DataFrame\n",
    "data_pca_all = pd.DataFrame(pca_results, columns=pca.get_feature_names_out())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since we didn't specify the required number of components, nor did we instruct the PCA algorithm to maintain a minimum variance threshold, the resulting components are equal to the dataset attributes.\n",
    "\n",
    "The results indicated that 12% of the variance is maintained in the 1st component, 10% in the 2nd component, 7% in the third one, and so on. Meaning that almost 30% of the information can be obtained only from the first 3 components.\n",
    "\n",
    "Accordingly, it might be a good idea now to try to plot the data using the first three components to get an initial understanding of the sample distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the first 3 components of PCA results on a 3d chart\n",
    "\n",
    "# Create a 3D scatter plot\n",
    "fig = plt.figure(figsize = (8, 8))\n",
    "ax = plt.axes(projection =\"3d\")\n",
    "\n",
    "# Scatter plot with filtered data\n",
    "ax.scatter3D(data_pca_all[\"pca0\"], data_pca_all[\"pca1\"], data_pca_all[\"pca2\"], marker='.')\n",
    "\n",
    "# Set title for the plot\n",
    "plt.title(\"Distribution of the first 3 components of PCA\")\n",
    "\n",
    "# Set labels for axes\n",
    "ax.set_xlabel(\"Component 0\")\n",
    "ax.set_ylabel(\"Component 1\")\n",
    "ax.set_zlabel(\"Component 2\")\n",
    "\n",
    "# Show the plot\n",
    "ax.set_box_aspect(aspect=None, zoom=.9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can observe from this 3d chart, we started to see some notion of grouping in the dataset, considering we are only considering 30% of the variance represented in the first 3 components.\n",
    "\n",
    "We can also notice some outliers outspread far from the focus of other data points, which can be interpreted as abnormal or malicious connection samples in the dataset.\n",
    "\n",
    "There are almost 1M samples presented in this chart, many of them are packed and stacked on top of each other making it quite difficult to identify separate data groups. However, let's try to plot only part of the samples within a limited scope of the axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Randomly sample a fraction of the data\n",
    "sample_fraction = 0.25\n",
    "data_pca_all_sampled = data_pca_all.sample(frac=sample_fraction)\n",
    "\n",
    "# Define limits for the plot\n",
    "x_limit = [-2, 6]\n",
    "y_limit = [-2, 6]\n",
    "z_limit = [0, 30]\n",
    "\n",
    "# Filter data based on limits\n",
    "data_pca_all_filtered = data_pca_all_sampled[\n",
    "    (data_pca_all_sampled['pca0'] >= x_limit[0]) & (data_pca_all_sampled['pca0'] <= x_limit[1]) &\n",
    "    (data_pca_all_sampled['pca1'] >= y_limit[0]) & (data_pca_all_sampled['pca1'] <= y_limit[1]) &\n",
    "    (data_pca_all_sampled['pca2'] >= z_limit[0]) & (data_pca_all_sampled['pca2'] <= z_limit[1])\n",
    "]\n",
    "\n",
    "# Create a 3D scatter plot\n",
    "fig = plt.figure(figsize = (8, 8))\n",
    "ax = plt.axes(projection =\"3d\")\n",
    "\n",
    "# Scatter plot with filtered data\n",
    "ax.scatter3D(data_pca_all_filtered[\"pca0\"], data_pca_all_filtered[\"pca1\"], data_pca_all_filtered[\"pca2\"], marker='.', s=5)\n",
    "\n",
    "# Set title for the plot\n",
    "plt.title(\"Distribution of the first 3 components of PCA (30% of random samples)\")\n",
    "\n",
    "# Set labels for axes\n",
    "ax.set_xlabel(\"Component 0\")\n",
    "ax.set_ylabel(\"Component 1\")\n",
    "ax.set_zlabel(\"Component 2\")\n",
    "\n",
    "# Set limits for the plot\n",
    "ax.set_xlim(x_limit)\n",
    "ax.set_ylim(y_limit)\n",
    "ax.set_zlim(z_limit)\n",
    "\n",
    "# Show the plot\n",
    "ax.set_box_aspect(aspect=None, zoom=.9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This figure represents a zoomed-in version of the previous chart, with only 25% randomly selected samples and having limits applied to the three considered axes.\n",
    "\n",
    "Despite the data still being packed in the center, the closer look revealed a better overview of some groups that started to form in different areas of the chart.\n",
    "\n",
    "Surely it's quite early to perfectly classify the data points in this chart, as the final clustering would rely on information still hidden in the remaining principle components.  \n",
    "\n",
    "Since the primary goal of PCA is to reduce data dimensionality, we will utilize it to get red of the least important components that don't hold much variance and hence don't contribute to the data analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Principle Components: 29\n",
      "[0.12267833 0.10569317 0.07208996 0.05248394 0.04397252 0.04242296\n",
      " 0.03591023 0.03123917 0.02862748 0.02457687 0.0226218  0.02133108\n",
      " 0.02093233 0.0194677  0.0187409  0.01844304 0.01820483 0.01812439\n",
      " 0.01799236 0.01785878 0.01785755 0.0177085  0.01762139 0.01754893\n",
      " 0.01727176 0.01711366 0.01696087 0.01677894 0.01534904]\n"
     ]
    }
   ],
   "source": [
    "# Initialize the PCA analyzer to maintain 90% of the information\n",
    "pca = PCA(n_components=.9, svd_solver=\"full\")\n",
    "\n",
    "# Fit the PCA and implement transformations\n",
    "pca_results = pca.fit_transform(data)\n",
    "\n",
    "# Print the number of resulting components\n",
    "print(f\"Number of Principle Components: {pca.n_components_}\")\n",
    "\n",
    "# Print the explained variance ratio for each components, which represents how much variance the resulting component holds in the dataset. \n",
    "print(pca.explained_variance_ratio_)\n",
    "\n",
    "# Save transformed data into a new DataFrame\n",
    "data_pca = pd.DataFrame(pca_results, columns=pca.get_feature_names_out())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These results show that 90% of the information is retained in 29 principle components, nearly half of all components. This indicates a significant dimensionality reduction of a decrease of almost 50% from the original data attributes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. SELECT BEST K VALUE (ELBOW METHOD)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we know, determining the number of clusters in the dataset is not an easy and straightforward problem, and the K itself is a hyper-parameter for KMean algorithm which may take any arbitrary value.\n",
    "\n",
    "Elbow Method is a technique used to determine the optimal number of clusters (k) for a given dataset. The method involves running the KMeans clustering algorithm for a range of values of k and plotting the within-cluster sum of squares (WCSS) as a function of the number of clusters. The WCSS is a measure of the compactness of the clusters; it is the sum of the squared distances between each data point and the centroid of its assigned cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the range of k values\n",
    "min_k, max_k = (1,40)\n",
    "\n",
    "# Initialize the within-cluster sum of squares vector\n",
    "wcss = []\n",
    "\n",
    "# Iterate through k values\n",
    "for i in range(min_k, max_k+1):\n",
    "    # Run KMeans for the current k\n",
    "    kmeans = KMeans(n_clusters=i, init='k-means++', max_iter=300, n_init=10, random_state=0)\n",
    "    kmeans.fit(data_pca)\n",
    "    \n",
    "    # Append the wcss of the current clustering solution\n",
    "    wcss.append(kmeans.inertia_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a figure\n",
    "plt.figure(figsize=(20,6))\n",
    "\n",
    "# Plot inertia value for each k iteration\n",
    "plt.plot(range(min_k, max_k+1), wcss, marker='o')\n",
    "\n",
    "# Set plot title and labels\n",
    "plt.title('Elbow Method')\n",
    "plt.xlabel('Number of Clusters (k)')\n",
    "plt.ylabel('Within-Cluster Sum of Squares (WCSS)')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Expectedly, we observe a declining trend indicating decreased WCSS values when considering more clusters. This is quite understandable since the very high number of clusters leads to each point being represented in its own cluster.\n",
    "\n",
    "The idea of obtaining the optimal k value is to find a compromise between the number of clusters and WCSS.\n",
    "\n",
    "From the chart above, the steadily declining trend without major steep steps (a sharp \"elbow\") indicates that the data samples may not exhibit a well-defined clustering structure, which makes it a little bit challenging to determine an optimal k value. In this case, we can resort to additional clustering evaluation methods (such as Silhouette Score) to further investigate the potential k ranges which is now beyond the scope of this demo.\n",
    "\n",
    "However, even in this chart, we still observe some sort of steep decline down until k=10, when afterward the slope starts to become smoother with lower variations in the WCSS. Accordingly, we may consider k around this value as the best number of clusters for this dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. IMPLEMENTING KMEANS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As discussed in the previous step, the Elbow Method suggested a trade-off k value. It's time now to implement KMeans algorithm and explore how the clustering will look like for our dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the best k\n",
    "bestK = 10\n",
    "\n",
    "# Implement KMeans algorithm on our dataset using the best k value\n",
    "kmeans = KMeans(n_clusters=bestK, init='k-means++', max_iter=300, n_init=10)\n",
    "clusters = kmeans.fit_predict(data_pca)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Copy the data set and add generated clusters\n",
    "data_pca_with_cluster = data_pca.copy()\n",
    "data_pca_with_cluster[\"cluster\"] = clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check sample distribution of generated clusters\n",
    "\n",
    "# Create figure\n",
    "plt.figure(figsize=(12, 5))\n",
    "\n",
    "# Plot data points\n",
    "sns.countplot(data=data_pca_with_cluster, x=\"cluster\")\n",
    "\n",
    "# Set plot title and axis labels\n",
    "plt.title(\"Cluster Distribution\")\n",
    "plt.xlabel(\"Cluster\")\n",
    "plt.ylabel(\"Samples Count\")\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The distribution chart shows that more than 50% of samples belong to one cluster that may represent the majority of normal connections, while the remaining samples are unequally distributed among other groups. We also notice some clusters with a very low number of observations, which may refer to isolated groups of data points with similar features.\n",
    "\n",
    "To have a look at how the clustering split the dataset, we can plot again the PCA results using the first three components."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xifrz97KysjL26quvsn//+9+sqKiIJSYmshtvvJGdccYZ7M033xQi6cuWLfPQMps3b2ZJSUksMzOT/fGPfxTOGy90vfflLkh7e3vZvHnzWG5uLvvLX/7C9u7dy377298ypVLp8d15/vnnhefSO++8w/bu3csee+wxdv311/ucnx07drBVq1YFPYfehCxI+/r6GAD2ne98J+TBZypIBwcHGYBpf70HSk/dfffdPmuAGJsKIwNgb731lvAaABYfH8+Gh4enPZ66ujoGgN14440er/NfimCCdLbHxI93/PHHB/ybtyAF4BPpufPOOxkA9vHHHzPGQhekjAVP2Xt/1o899hgDwF566SWP7e69914GgL3zzjse+0lLS2Pj4+PCa319fUwikbC7777bZ1/u/PznP2cA2Geffebx+lVXXcU4jmMNDQ3Ca4GiMv6YLmV/9dVXe7x+3333MQCst7eXMcZYR0cHk8lk7LrrrvPYbmJigqWnp7Pzzjsv6P7dI23+9u8tSAGwd99912Nb/novLy8PuJ+Zpuz5GxP/36WXXhpw+Yg7l112GZPL5QEf+IyF/pny52j58uUeUUp+bdy3vvUtj/ffcMMNDIDHWuvc3FzGcZzPOTrppJOYXq8Xsgnhzmnp0qUeUYnPP/+cAWDPP/+88NrChQvZypUrfc7bzp07WUZGhnBMoV5zjAW+f+zcuZOtWLHC5/XpiNb3Kzc3l5166qnMbrczu93OWltbhXvWT3/6U8YYY/fccw8DwN5+++2Q59vW1sYkEonHc2rz5s1Mo9F43F8CcdVVVzGVSuXxoHcnlOteLpezK664wue9+/fvZwDYc889xxibEo/8MfNiqbGxkQ0NDbHU1FT2z3/+M+Tj5uF/YN53330er7/44osMAPvrX/8qvBbOsq5A9xhveMH+wQcfCBFJ9/35eyaceuqpHhHlRx99lAHwWP7HGGOXX365x7PK6XSyzMxMtnTpUo/v/8TEBEtNTWVlZWXCa7wg/cMf/uAx5ooVK4QgC4/dbmcpKSnsrLPOCnqs999/PwPg8SNzOhwOB7Pb7ewHP/gBW7lypcffALD09HSPyPKuXbsYALZixQqPa5K/x7mv++U/I3/nTSKReETxve/5V1xxBdNqtT4ZLv4Y+QDKtddeywwGQ0jHettttzGJROITKQ+GKG2fEhMTUVBQgN///vd44IEHcOjQIb+VlIF48803sWTJEqxYsQIOh0P4b/v27X4r37du3YqEhIRpx33//fcBAN/73vc8Xj/vvPMgk8miekw8Z599dljbe8/1ggsuAPD1sUSL9957DxqNBuecc47H67wTgXfF6ZYtW6DT6YR/p6WlITU1Fe3t7dPuZ/HixVi3bp3PfhhjeO+992ZxFIH51re+5fHvZcuWAYAw3927d8PhcOCiiy7yuAbj4uKwefPmsN0XpiMhIQFbt271eG3FihVQKBT40Y9+hKeeegotLS0R29/27dvxxRdf4L333sOdd96JV155BWefffa01/R///tfbNmyBYsWLQq4Tbif6amnngqJ5OtbGT/2aaed5rEd/3pHR4fH6yUlJVi+fLnHaxdccAHGx8dx8ODBGc3ptNNOg1QqFf7tfX0cPnwY9fX1wvfT/Ro59dRT0dvbi4aGBo8xp7vmgrFu3TpUVFTg6quvxu7duzE+Pj7te4Dofr/eeustyOVyyOVy5Ofn46WXXsJ1112H3/3udzMe84knnoDL5cJll10mvHbZZZfBaDTixRdfnPb9PT09SElJAcdxfv8e6nUf6P3uf+MrxgcGBtDU1ITa2loUFhbipz/9KZYvX47vf//7qKqqwubNm5GQkIA1a9bgo48+Cjp//vNwd3wBgHPPPRcajcZvpX+o+LvHAEBLSwsuuOACpKenQyqVQi6XY/PmzQCAuro6j205jsPpp5/u8dqyZcs8ruH3338fOp3O53rnn108DQ0N6OnpwYUXXujx/ddqtTj77LPx6aefwmQyebxn586dHv9etGgROI7Djh07hNdkMhkWLFgw7fdq7dq1AKae/y+99FLAqvJ//etf2LhxI7RaLWQyGeRyOR5//HGfcwNMPQc1Go3H/ABgx44dHtcU/7r3HAOdN5fLhQ8//DDgsbz55pvYsmULMjMzPe5F/Hn54IMPAEzdR0ZHR/Hd734Xr732GgYHBwOOmZqaCpfLhb6+voDbeBOyIOXtK1pbW0MefKZwHId3330X27dvx3333YdVq1YhJSUF119/PSYmJqZ9f39/PyorK4WbHf+fTqcDY8znJGZkZIQ0r6GhIQBAenq6x+symQxJSUlRPaZw5xpoXvzc+WOJFkNDQ0hPT/e5MaempkImk/ns39/5UyqVMJvN0+7H3znJzMwU/h4NvOerVCoBQJhvf38/gKmblvd1+OKLLwb9Is8Ef+egoKAAe/fuRWpqKq655hoUFBSgoKAADz/88Kz3xz8gt2zZgltvvRV//etf8frrr+O1114L+r4jR44gOzs76DbhfqaJiYke/1YoFEFft1gsHq97f5/dX+P3Fe6cQr0+fvKTn/hcH1dffTUA+Fwj040ZjFtuuQX3338/Pv30U+zYsQNJSUnYtm3btPZl0fx+HXfccfjiiy/w5Zdfora2FqOjo/jjH/8ofE45OTkAEPIzx+Vy4cknn0RmZiZWr16N0dFRjI6O4sQTT4RGo8Hjjz8+7RhmsxlxcXEB/x7KdZ+UlOT3vPCWiN7XZUpKChYsWACJRIIPPvgAL7zwAh599FHY7XZ8+9vfxgknnICenh786Ec/whlnnOFhrejN0NAQZDIZUlJSPF7nOA7p6emz+rz8XQeTk5PYtGkTPvvsM/zud7/Dvn378MUXX+DVV18F4HttqtVqn/OrVCo9vpNDQ0NIS0vz2Zf395Q/lkDXp8vlwsjIiMfr/u4J/uakUCh87hPeHH/88di1a5cQeMjOzsaSJUvw/PPPC9u8+uqrOO+885CVlYVnnnkGBw4cwBdffIHLLrvM7/izvZcFO2/BPvv+/n688cYbPveikpISAF/fiy688EL84x//QHt7O84++2ykpqZi/fr12LNnj8+Y/DkN5f7EEzys54ZUKsW2bdvw3//+F11dXdM+VPzBT9BqtXq87u/hnJubK9xAGhsb8dJLL+GOO+6AzWbDY489FnQ/ycnJUKlU+Mc//hHw7+4E+zXrDv9A6OvrQ1ZWlvC6w+EI6Ys+m2MKd67u83J/kPG/VvjXAn0msxVySUlJ+Oyzz8AY85jzwMAAHA6Hz2cwm/348xns6ekB4PtZzxX8fl9++WXk5uZGfX+BrotNmzZh06ZNcDqd+PLLL/GnP/0JN9xwA9LS0vCd73wnYvvnI2iNjY1Bt0tJSUFXV1fQbeb6M/X3C977exLpOfHb33LLLTjrrLP8blNcXBzWmMGQyWS46aabcNNNN2F0dBR79+7Frbfeiu3bt6OzsxNqtdrv+6L5WcTHx2PNmjUB/75lyxbI5XLs2rULV1555bTj7d27V4gY+fuB++mnn6K2thaLFy8OOEZycrIQFQ8Ff9f90qVLUVVV5bMt/9qSJUv8jmW1WnHFFVfg9ttvR0FBAaqrq9HS0oKf/OQnUKlU+NGPfoRbbrkFBw4c8In+8yQlJcHhcODIkSMeopQxhr6+PiGqNxP83WPee+899PT0YN++fUJUFIBfr+pQSUpKwueff+7zuvf3lP+MA12fEokkpMznbDjjjDNwxhlnwGq14tNPP8Xdd9+NCy64AHl5eSgtLcUzzzyD/Px8vPjiix7nz/t5Gyn4H7rueN/L/JGcnIxly5bhzjvv9Pt3/gcoAFx66aW49NJLYTQa8eGHH+JXv/oVdu7cicbGRo9nHf/DKZx7RFgp+1tuuQWMMVx++eWw2Ww+f7fb7XjjjTcCvj8vLw/AlLG+O6+//nrQ/RYVFeEXv/gFli5d6nGzCBRB27lzJ5qbm5GUlIQ1a9b4/MfPI1x44/dnn33W4/WXXnoJDocjrLHCPaaZ4j3X5557DsDXx5KWloa4uDifz8RfpCuciMy2bdswOTnpYy7PG19v27YtpPmHsp/a2lqfh8jTTz8NjuOwZcuWGY07289h+/btkMlkaG5u9nsNBnsQRwOpVIr169fjkUceAQDhfIXzmQaDXwKyYMGCoNvt2LED77//vk862p1ofaaBqKmpQUVFhcdrzz33HHQ6HVatWhWVORUXF6OwsBAVFRUBrw/3JSyhEsp1azAYcM455+Caa67B8PBw0CYLc/1ZuJOeno4f/vCH2L17t1/DfABobm4W7l2PP/44JBIJdu3ahffff9/jv3/+858AEDBIwbNw4UIMDQ1hbGwspDn6u+7PPPNM1NfX47PPPhNeczgceOaZZ7B+/XqPh7s7d911FxQKBX7yk58AmBKRAATjfbvdDqvVKrzuD/6++swzz3i8/sorr8BoNEbsvsvDiyz+PsLzl7/8ZcZjbtmyBRMTEz66gH928RQXFyMrKwvPPfecxzkxGo145ZVXUFpaGvCHVqRRKpXYvHkz7r33XgDAoUOHAEydH4VC4SFG+/r6ps0kzZRA500ikeD4448P+L6dO3eiuroaBQUFfu9F/q5ZjUaDHTt24LbbboPNZkNNTY3H31taWpCUlOQ3ahuIkCOkAFBaWopHH30UV199NVavXo2rrroKJSUlsNvtOHToEP76179iyZIlPmtEeNLT03HiiSfi7rvvRkJCAnJzc/Huu+8K4X2eyspKXHvttTj33HNRWFgIhUKB9957D5WVlfj5z38ubLd06VK88MILePHFFzF//nzExcVh6dKluOGGG/DKK6/g+OOPx4033ohly5bB5XKho6MD77zzDn784x9j/fr14Rw6gKl1G9///vfx0EMPQS6X48QTT0R1dTXuv/9+6PX6oO+d7THNBIVCgT/84Q+YnJzE2rVrsX//fvzud7/Djh07cNxxxwGY+sJ8//vfxz/+8Q8UFBRg+fLl+Pzzz32+/PzcAODhhx/GxRdfDLlcLnQu8eaiiy7CI488gosvvhhtbW1YunQpPv74Y9x111049dRTceKJJ87omLy58cYb8fTTT+O0007Db37zG+Tm5uI///kP/vznP+Oqq65CUVHRjMZdunQp9u3bhzfeeAMZGRnQ6XRhRazy8vLwm9/8BrfddhtaWlpwyimnICEhAf39/fj888+h0Wjw61//ekZzC5XHHnsM7733Hk477TTk5OTAYrEID2T+/Ot0OuTm5uK1117Dtm3bkJiYiOTk5IA/2v7yl7/go48+wsknn4x58+bBaDTio48+wp/+9CeUlZXhjDPOCDqn3/zmN/jvf/+L448/HrfeeiuWLl2K0dFRvP3227jpppuwcOHCqH2mgcjMzMS3vvUt3HHHHcjIyMAzzzyDPXv24N577xUeaNGY01/+8hfs2LED27dvxyWXXIKsrCwMDw+jrq4OBw8exL/+9a+wxwx0/zj99NOxZMkSrFmzBikpKWhvb8dDDz2E3NxcFBYWBhxvrj8Lbx544AG0tLTgkksuwe7du3HmmWciLS0Ng4OD2LNnD5544gm88MILyMrKwmuvvYbt27cHvAYffPBBPP3007j77rshl8v9bnPCCSeAMYbPPvsMJ598svB6ONf9ZZddhkceeQTnnnsu7rnnHqSmpuLPf/4zGhoasHfvXr/7ra+vx3333Yf3339fqEcoLi5Gbm4urrrqKlxzzTV48cUXIZPJsGHDhoDn66STTsL27dtx8803Y3x8HBs3bkRlZSV+9atfYeXKlbjwwgunPefhUFZWhoSEBFx55ZX41a9+BblcjmeffdbnB144XHTRRXjwwQdx0UUX4c4770RhYSHeeust7N6922M7iUSC++67D9/73vewc+dOXHHFFbBarfj973+P0dFR3HPPPbM9vKD88pe/RFdXF7Zt24bs7GyMjo7i4Ycf9lhDu3PnTrz66qu4+uqrcc4556CzsxO//e1vkZGRgaampojPKSkpCVdddRU6OjpQVFSEt956C3/7299w1VVXCUtg/PGb3/wGe/bsQVlZGa6//noUFxfDYrGgra0Nb731Fh577DFkZ2fj8ssvh0qlwsaNG5GRkYG+vj7cfffdiI+P94m+f/rpp9i8eXNYWd2wOzUxxlh5eTm7+OKLWU5ODlMoFIKlxC9/+UsP6wh/3pS9vb3snHPOYYmJiSw+Pp59//vfZ19++aVH9Vx/fz+75JJL2MKFCwWvq2XLlrEHH3zQo3K1ra2NnXzyyUyn0wmWCTyTk5PsF7/4BSsuLmYKhULw3bvxxhs9/A7hxxIhGFarlf34xz9mqampLC4uTvAXnM6HdLbHxI/3r3/9y2dOwXxIKysr2QknnMBUKhVLTExkV111lU/V29jYGPvhD3/I0tLSmEajYaeffjpra2vzW319yy23sMzMTCaRSDz2GciH9Morr2QZGRlMJpOx3NxcdssttwT0IfUm1GYD7e3t7IILLmBJSUlMLpez4uJi9vvf/96j8pIfL9Qq4PLycrZx40amVqsZ4OtD6u3gEMhBYteuXWzLli1Mr9czpVLJcnNz2TnnnMP27t0bdP/hVtmXlJT4jHHgwAF25plnstzcXKZUKllSUhLbvHkze/311z2227t3L1u5ciVTKpU+bhHefPLJJ2znzp0sMzOTKRQKplar2fLly9lvf/vbkI2yOzs72WWXXcbS09MFn8TzzjvPwyM0lM800DkK9F3x99nx18TLL7/MSkpKmEKhYHl5eeyBBx7wmfds5sSYf++/iooKdt5557HU1FQml8tZeno627p1K3vssceCztv9ON2vuUD3jz/84Q+srKyMJScnC3ZwP/jBD4J2UwrnuN3PZSiEs63D4WBPPfUU27p1K0tMTGQymYylpKSwHTt2sOeee445nU6h6tifvyMP7/wRzM7H6XSyvLw8H0eDcK/7vr4+dtFFFwn+vxs2bGB79uzxu0+Xy8U2bdrk9x741VdfsQ0bNjCNRsOWLl067X2DsSnLvZtvvpnl5uYKPr9XXXWVhw8pY+FX2fu7xzA25R5QWlrK1Go1S0lJYT/84Q/ZwYMHfdxbAu2Pr4B3p6uri5199tlMq9UynU7Hzj77bMGlwNsRZteuXYLvpkajYdu2bWOffPKJ330cOXIkpHMQ7Hh53nzzTbZjxw6WlZUl+IqfeuqpPp6399xzD8vLy2NKpZItWrSI/e1vf/N7zP6eg+Hc4/g579u3j61Zs4YplUqWkZHBbr31Vh8nCH/3oiNHjrDrr7+e5efnM7lczhITE9nq1avZbbfdJmiGp556im3ZsoWlpaUxhUIh3Lu9u3wdPnw4JOssb7j/TY4gCOIbR15eHpYsWYI333wz1lMhRMIf/vAH3Hnnneju7oZKpYr1dAgiJE444QQMDg6iuro61lPB7bffjqeffhrNzc3TOhC5I0rbJ4IgCIKIBddccw3i4+OF9dYEQYTO6OgoHnnkEdx1111hiVGABClBEARBCMTFxeGf//ynT6EOQRDT09railtuucXHNzYUKGVPEARBEARBxBSKkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxhQQpQRAEQRAEEVNIkBIEQRAEQRAxRRbrCRAEcezDGIPD4YDNZoNMJoNUKoVUKgXHcbGeGkEQBCECSJASBBFVXC4X7HY7HA4HLBYLJJKpxIxEIoFcLhcEqkQiIYFKEATxDYVjjLFYT4IgiGMPxpggRhljYIzBbreD4zjh3y6XCz09PVAqlUhLS4NMJiOBShAE8Q2EIqQEQUQcXnzW1taioKAAcrlc+BvHcYLQlEqlMBqNcDqdcLlcsFgsAKaipxKJhAQqQRDENwQSpARBRBT3FH17ezvy8/PBcRxcLhdcLpeQsudxF6dSqVSInjqdTjidTlitVnAcB6lU6iFQ3YUtQRAEcXRDgpQgiIjgnqJ3F56MMZjNZpSXl2N8fBx6vR4JCQlISEhAfHy8j6jkhab7+/miKD7lzwtUuVwuCFlvoUsQBEEcPZAgJQhi1vApeqfTCQAe6fXBwUE0NjYiLS0NRUVFmJiYwMjICHp6euBwOCCTyaBWqzE2NgadTuc3ghpMoPL7c4+ekkAlCII4uqCiJoIgZgUfFXU6nR5C1OVy4Z133oFUKsWSJUuQlpYGm83mISxNJhPq6+ths9mE4ieDwSBEULVa7bRpefcCKR6O4wSB6p7iJwiCIMQJRUgJgpgR/lL0vOgzmUwoLy8HAKxcuRLJyckeghGYEo0ajUaIihYUFGBychIjIyMYGRlBa2srJBKJh0BVq9Uhpfj5edlsNuFv3il+EqgEQRDigQQpQRBhEyxF39fXh+rqamRmZmJiYgJxcXEhjcdxHHQ6HXQ6HXJycuByuYT0/pEjR3D48GHIZDJBnCYkJEClUvmMxa8vdR/bn0D1TvGTQCUIgogdJEgJggiLQCl6p9OJhoYG9PT0YMmSJUhPT0d3dzemWxUUSAhKJBLEx8cjPj4eeXl5cDqdGB8fx8jICHp7e9HQ0AClUukhUJVKpd/xeYHKz8XlcsFms8Fmswn74qOnMpmMLKYIgiDmGBKkBEGEBG/F5HA4fFL0RqMR5eXlkEgkKCsrg1qtBhBYbPobezqkUqkgPAHA4XBgbGwMIyMj6OzsRG1tLdRqtYdAdfc/dZ+Pu0Dl/7NYLLDZbOjt7cX8+fOpixRBEMQcQoKUIIhpCZai7+npQU1NDbKzs1FcXOxR3c53ZQoG71EaLjKZDElJSUhKSgIA2O12jI6OCutPq6urodVqBXFqMBggk3ne8rxN+i0WC7q7u5Gfny+Y9PvzQCWBShAEEVlIkBIEEZRgKfq6ujr09/dj+fLlSE1N9fv+mabsw0UulyMlJQUpKSkAAKvVKgjUpqYmWCwW6HQ6Dw9U97Wm7nPxNul3uVywWq2CSb93ip9M+gmCIGYHCVKCIPwSLEU/OTmJ8vJyyGQylJWV+S0uAkKLkPL7ijRKpRJpaWlIS0sDAJjNZkGg1tbWwuFweJj06/X6gBX87vN0Py9k0k8QBBEZSJASBOFDsBR9d3c3amtrkZOTg8LCwqDiK9SU/VzYIatUKqhUKmRkZAjdo3iLqa6uLrhcLmi1WrhcLoyPj0On0824ixSZ9BMEQYQHCVKCIDzgK9C9o6IOhwO1tbU4cuQIVqxYIaTGgxFKGjsWqW6O46BWq6FWq5GVlQXGGIxGI/r6+jA2NoZDhw6B4zgPD1SNRhOyQHW3mPIWqHyKnyAIgvgaEqQEQQD4OkXPd0xyF6MTExMoLy+HQqHAxo0bQ/IWBWKbsg8HjuOg1WqRkZGBrq4ubNq0STDpHxoaQnNzs0eVP++BSib9BEEQkYEEKUEQAVP0jDF0dXWhvr4eeXl5KCgoCCv9LKaUfThIJBLo9Xro9Xrk5uYKafyRkRH09/ejsbERCoXCQ6D6E+lk0k8QBBEaJEgJ4huO0+lEX18fhoaGUFRU5JGir6mpwdDQkND+cyaITWwGI5hJv8FggMFgQH5+PpxOp+CB2t3djbq6OqhUKg+BqlAo/I4fyKTfvYKfBCpBEN80SJASxDcU9xQ9X4HOC5/x8XGUl5cjLi4OGzdu9NsBKRSO1gjpdEilUiQmJiIxMRHAlHjnK/jb29tRU1MDjUbj4YEajkk/bzHF/5eamkoeqARBHNOQICWIbyDeKXp3UdTZ2YmGhgbk5+ejoKBgVuJHrEVNwZiJOJbJZEhOThaiyDabTRCozc3NMJlMHh6oBoPBrwequ0hljGFoaAhdXV3Q6/XCNmTSTxDEsQgJUoL4hsFHRd2r6DmOg9PpRHl5OUZHR7F69Woh+jcbjpaipkijUCiQmpoqNAuwWq2CxVR9fT1sNpuHB2p8fLzP2lx3gSqXy31M+i0WCyQSiUeKn0z6CYI4WiFBShDfEHi/TIfDAcDTW9RsNmNiYkKoove3/nEmHG0p+2gJOaVSifT0dKSnp4MxBovFIgjUnp4eOBwOxMfHCwJVp9NBIpGAMSbMKZhJv9PpFNag+ougEgRBiB0SpATxDcDlcsHhcAgpel7cMMbQ3t6OpqYmKBQKrF69OuKizF1s+hv7mxbN4zhOMOnPzMwEYwwmk0kQqB0dHWCMwWAwQCaTwel0eghT93FCMemnLlIEQRwNkCAliGMcd29R9yibzWZDdXU1xsfHUVRUhO7u7oiLQ+/xeHEa6HUxMNdz4TgOGo0GGo0G2dnZYIwJHqh9fX2YnJzExx9/7GHSr1arwxaoAHwq+MmknyAIsUCClCCOUbxT9O5idGRkBBUVFdDpdCgrK8PY2FhUhFioKXviaziOg06ng06ng0KhQFdXFwoLCzEyMoIjR47g8OHDkMlkPib9/sYJZNLPC1T3LlK8SKXPgyCIWECClCCOQXjh4XK5AMBDlLS1taGpqQmFhYXIy8sTREusBCk/LzEgRjHGcRzi4+MRHx+PvLw8OJ1OwaS/t7cXDQ0NUCqVHgLVn00XmfQTBCFmSJASxDGEu8jwl6KvqqrC5OQk1q1bB4PBILwvmoVFR1NR09GAewtTYMoDlTfp7+zsRG1tLdRqtYdA9fZABciknyAIcUGClCCOEYKl6IeHh1FRUQGDwYCysjK/Ju2Ushcn050fmUyGpKQkJCUlAQDsdrvggdra2orq6mpotVoPD1SZzPPW78+kH4BgMWWz2YTtpFIpFAoFZDIZeaASBBExSJASxDEAHxV1Op0+6wZbWlrQ0tKCoqIi5OTkBKx0j5YgDQWxRUj9VbXHah7hIpfLkZKSgpSUFABTHqi8QG1qaoLFYvEw6Y+Pj/dr0g9AiIryBVJmsxmfffYZNm3aRCb9BEFEFBKkBHEU456idze6B6aESGVlJcxmM9atW4f4+PiA48xFhDSQUBFTyv5YFFNKpRJpaWlIS0sDAKFN7MjICGpra+FwODxM+vV6fUCTfv51mUwmXHsWiwUAfEz6SaASBBEOJEgJ4ijFu/2n+8N/aGgIlZWVSEhIwMqVK31StN7MVcqexEns4T1QMzIyhKgn74Ha1dUFl8vlY9Lv/rnx4tS7zWkoJv3URYogiECQICWIoxD3FL27EGWM4fDhw2hra8PChQuRnZ0dcj95Kmr6GrGk7KMNx3FQq9VQq9XIysoCYwxGo1EQqG1tbeA4TvBAValUfj8rMuknCGK2kCAliKMIPgrlcDh8UvQWiwWVlZWwWq3YsGEDdDpdyONSURMBTH0WWq0WWq0W8+bNg8vlEkz6h4aGMDo6CgCorq728ECNhEk/CVSC+GZDgpQgjhL46FVLSwsKCws9xOjg4CAqKyuRnJyMVatWTZui9yaWRU1iipCSOPZEIpFAr9dDr9cjNzcXExMT+PLLL6HRaNDf34/GxkYoFAoPi6m4uDifcQIJVDLpJwiChwQpQRwF8Cl6q9WK1tZWFBcXC68fPnwY7e3tWLRoEbKysmb0EI9lhBQQX5W9WBDb0gFeVObn5yM/Px9Op1PwQO3u7kZdXR1UKpWHQFUoFH7HCdRFyt2k3zvFL6ZzQRBEZCFBShAixjtF7+4TabFYUFFRAYfDgdLSUmi12hnvJ9ZrSMUGCeTAuH9eUqkUiYmJSExMBDBl0s9X8Le3t6OmpgYajcbDA3U6k36AukgRxDcREqQEIVL8VdHzEaWBgQFUV1cjLS0NixYt8vGRDBf3oqhIPuQpQnpsMd3nJJPJkJycjOTkZABT3cF4gdrc3AyTyeThgWowGPxeu8G6SPEm/RKJRIiekkk/QRz9kCAlCBHCP3y9C5f4h3NlZSVKSkqQmZkZkf3FUpCKaQ0pMT3hXB8KhQKpqalITU0FMOWNy1fw19fXw2azeXigxsfH+/VABTy7SPH/WSwWDA0NwW63IysrC3K5nDxQCeIohQQpQYiIYFX0JpMJ5eXlADCt0X24eAveSI87223mCjHNRYzM9vpQKpVIT09Henq6ICh5gdrT0wOHw+HjgRrIpB+YEqkmkwlWq1UYj9+GukgRxNEFCVKCEAnBjO77+/tRVVWF9PR0jI+PQ6VSRXTf0RSk/JhOpxN9fX3QaDQ+ZusUIT16iJSo4zhOMOnPzMwEYwwmk0kQqB0dHWCMCR6oCQkJ0Gq1Pvvno/rebU5dLhesVissFouw3MU9xU8m/QQhLkiQEoQICJSid7lcaGhoQHd3N0pKSpCWliZ004kk0RKk/JgmkwmHDh0SbH44jkNCQgISExMhkUgifjyzRUwCWUyiKZrnheM4aDQaaDQaZGdngzEmeKCOjIygtbUVEonEQ6Cq1WqfZSbeQtO9i5TD4SCTfoIQKSRICSKG8A9Ku90OxljAFH1ZWZnw8OXfF0nc7XciCcdxmJycxP79+5GZmYn8/HwAwOTkJIaHh9Hf34+xsTEwxlBXVycIDaVSGdF5HK2ISRjzzJVA5jgOOp0OOp0OOTk5cLlcmJiYwMjICI4cOYLDhw8LKXmlUgmz2ew3cxBqFyky6SeI2EKClCBiRLAUfW9vL2pqapCVlYXi4mLh4cg/PKO11jOSkUqXy4XR0VFMTk5i+fLlSEtLE4R3fHw84uPjkZ+fj+HhYdTU1EAul6OzsxO1tbWCVVBiYiIMBkPYRv8zRUzRSDESS4EskUiE6yYvLw9OpxPj4+M4fPgwjEYjPv30UyiVSg8PVH8/bIKZ9PMWU94ClU/xEwQRPUiQEkQM4KOi3il6p9OJ+vp69Pb2YunSpUhLS/N5L8dxUUtxR0pwmM1mlJeXw2KxICMjQyhi8QcfjVqwYAEAwG63C2napqYmWCwW6HQ6JCYmBqzEJuYGMRn1S6VSJCQkQK/XQyqVIi8vTzDp53/YqNVqD4EayAOVTPoJIvaQICWIOYRPFTocDgCeUdHJyUlUVFRAIpEIKXp/SCSSqERIIxV5PXLkCCorK5GWlob4+PiQHtzu+5XL5R5WQRaLBcPDwx6V2Pw6wsTERL+FLrNFjKlyIjB8RDMpKQlJSUkApn7Y8B6ora2tqK6uhlar9fBA9Rd5J5N+gogNJEgJYo7wTtG7F1/09PSgpqYG8+bNQ1FRUdAIYKzbfAaCMYampia0t7dj8eLFyMrKQkNDg3C8M91vXFwcMjMzhUpso9EoRFDb2to8CqQSEhKgUqmOKXEgpmMRU4SUx+Vy+Z2TXC5HSkoKUlJSAEx5oPIC1T3y7u6BGq5Jv9VqJYFKEBGCBClBzAHuhUvuQtTpdKKurg79/f1Yvny5EBUMhhgFqdVqRUVFBaxWKzZs2ACdTif8LZKtQzmOg1arhVarxbx584RCF75AqrGxEQqFQhCn4RZIkYiYHrGdo1BFslKpRFpamrAMxmw2CwK1trYWDofDw6Rfr9eHZdJvtVoFgepyuSCTyaBSqcgDlSBChAQpQUQR7xS9uxidnJxEeXk5ZDIZysrKQvYWjZZN0kwF6fDwMCoqKpCYmIhVq1Z5pEGj3TrUvdAlPz8fTqdTEBmxLpCKBGJbOiC2+QAzj9ryHqgZGRlgjMFsNguRd95azduk33s/3ib9vDjt6OiAyWRCcXExmfQTRIgcPXdmgjjK4Ned8eLRfZ1md3c36urqkJubiwULFoRVpCOWCCljDC0tLWhpaUFxcTHmzZvn94Edyn4jhVQq9VlHSAVSkUWMQmq2c+I4Dmq1Gmq1GllZWQGXhrh7oGo0mmkFqkwmC2jSzwtUMukniClIkBJEhOGjolarVVhLxj9sHA4HamtrMTg4iBUrVgjr28JBDILUZrOhqqoKk5OTQduYRjtCOh3hFkjxUWoxRgLFgBjPSzTWtfpbGsKb9A8NDaG5uVmo8uf/c1+77L40J5BJv9PpFFL8/iKoBPFNgwQpQUQQXoz29PSgubkZZWVlwgNpYmIC5eXlUCqVKCsrQ1xc3Iz2EeuU/ejoKMrLy6HX61FWVubXSiecMaMlsP0RSoEUMOUDm5KScswVSM0WMRY1zcWcJBIJ9Ho99Ho9cnNz4XK5MD4+jpGREY+1y7w4tdvtfkVlqCb91EWK+CZCgpQgIoR7ip4XWfz/dnZ2oqGhAXl5eViwYMGsHqCxipAyxtDe3o6mpiYsWLAAeXl5YVs6BdpvLPAXBRsbG8OhQ4cwODiIlpaWWRVIRXKeYkJs84mFSOZbmBoMBmHtMu+B2t3djfHxcchkMrhcLuHaUSgUPuNMJ1D5fZFJP/FNgAQpQcwSd59C3uiefxg5HA5UV1djZGQEq1atEtY2zoZYCFL341izZg0SEhJmPKY/ASGGVDBfIAUAS5cuhVQqPaYKpCKBGD4nb8QQtZVKpUhMTERiYiIAoK6uDna7HVKpFO3t7aipqRGuHd4DNVyTfl6guneR4kVqrI+fICLBN+tuShARJlD7T47j4HQ6sX//fqhUKpSVlUUsuhatTk2BBOn4+DjKy8uhUqmwceNGv5GeYGNGYpu5hjEmigIpMQpAsX1eYhCk3vDR9/nz5wOYWnPN/7hpbm6GyWTy8EA1GAzTeqACZNJPHNuQICWIGcI/GJxOp4eNC2MMAwMDsFqtKCwsxPz58yP6gIhGpybAV5C6uwHk5+ejoKAg7OOIdVFTJPFXIDUyMoLh4WGfAqlANkFHO2L8nMQoSL3N+hUKhce1Y7VahR839fX1sNlsHh6ogX7cBBKoZNJPHAuQICWIMPGXoudv+Ha7XUhty2QyFBQURHz/c5GydzqdqKmpweDgIFauXInk5OQZjxvqGlIxCItw9h8XF4eMjAzBx9JkMgkV/MdqBykxfEbeHI1zUiqVSE9PR3p6Ohhjwo8bd/cHbw/U6QSqexcpq9UKm80GYOoHrFwuJw9UQvSQICWIMAiUogemqs8rKiqg0WiwYsUKHDx4MCpziHbKnjfsl8vls3IDcB9zum0AcQqLUOE4DhqNBhqNxqODlHcVdqwLpI5FxHjdMMZCXr7BcZxg0s+7P5hMJkGgdnR0gDHmEX3XarUBPX/5qKh7FymLxQKXy4XOzk7k5eVBqVSSQCVEBwlSggiRYCn6trY2NDU1obCwEHl5eTAajVERjUB0U/Z816WcnBwUFhbOek3k0byGdDa4d5DKy8sTqrCHh4d9CqT4/46GAimxij+xzck7ZR8O7j9usrOzhR+JvEBtbW0Vqvz5a0etVk9r0m+329HR0YF58+bBYrEAgI9JPwlUIpaI/w5IEDGGN7J2OBw+KXreIH5iYgJr164Vqs+jJRqB6KTsXS4XLBYLOjs7sXz5cmGt22wJZ65iXJ8YKbyrsN0LpJqbm2E2m4Uil8TERI81hCQOgiNGQRpOhHQ6OI6DTqeDTqdDTk6OR/T9yJEjOHz4MGQymY9Jv785AVNrofn7Uygm/dRFipgrSJASRBCCpehHRkZQUVEhGMS7V5+73/Cj0UUmktFXk8mE8vJyOJ1OFBYWRkyMAuGl7MXAXM0lWIFUTU2NsIZQIpHA6XSKRnSJZR7uiHFOs4mQToe/6Dtv0t/b24uGhgYolUoPgapUKj1aGPP/Syb9hJggQUoQAQiWom9tbUVzczMKCwuRm5sbcD1XNB6WkYy+DgwMoLKyEpmZmZBIJGFZOoUKRUinJ1CBVE9PD0wmEz766CNBXPAtTsUmwmKFGAXpXM7JvYUpMOUZzJv088tD1Go1dDqd8PdQPVCnM+kngUpEEhKkBOHFdCn6yspKGI3GoD3c+Zs0//5IEomUvcvlQlNTEzo6OrBkyRJkZGTgiy++iPi6V/e5Bkr9uYv3cHA6XeA4ROWBGEtx7L6GkDGG0dFR5ObmYmRkBAMDA2hqahLaVPJFUnNVIPVNF3+hEsmUfbjIZDIf/9zR0VEMDAwAAD766CNotVoPD1R/65cDCVQy6SeiBQlSgnAjWIqeL/gxGAwh9XAHELVq+NmMa7FYUFFRAbvdjtLSUmi1WmHcSAuxaBU1DfeN4o1H3oFEKsEZ122HPkk3k+kdFXAcJ6oCKbEJDjEK0mim7MNFLpcjJSUFcXFxGB4exrp16wSTfvcGD+4eqIFM+gN1kXI36fdO8YvlPBDihwQpQfwP3mDaOyrKGENzczNaW1tRXFyMefPmTXuTdb9pR5rZpOwHBwdRWVmJlJQULF682OPBEy1BGo2UfW9zPzpquyGRSdDbMhBRQSr2B+hsCqRmixiXVYh1TmJLZfP3NaVSibS0NKSlpQEAzGazIFBra2vhcDg8TPr1en1YJv3URYqYKSRIiW88fIrebrcLDxL+pmm1WlFZWQmz2Yz169dDr9eHNGa0I6ThPoTdRfWiRYuQnZ0dkXGnI1pFTXlL5mHlSUshkXDIWZTld5vquh709I6hdF0+dNqZe6nGmunOT6gFUnx6f7YdpMQmKMQo/o6mqC3vgcqvXzabzcIPnK6uLrhcLh+T/kBLb/yZ9NtsNh+Tfr6SnyymCHdIkBLfaIKl6PloYlJSElauXBlWGpRPb0XLLzQcoRuqqI7WfKMRIdXEq7HzyhMD/n1k1ITHn96PkTEzRkZNOP+s1SGPHe5cxEaoHaRmUiAlxvNyNIm/WBLKenaO46BWq6FWq5GVlQXGGIxGoyBQ+evH3QNVo9EENekHvl5/ypv089tQFynCHRKkxDcWp9OJvr4+aLVaKJVKj6hmc3Mz2trasGjRImRlZc3oJimRSKISIeWtgEJhZGQE5eXlSEhImFZUz0WENJJFTaMDY3C5GBLTDT5/UyikUKkUMFvt0GqO3o5Is/08gnWQmkmBlBjFn1jnJLao7UwKLDmOg1arhVarFa4f3qR/aGgIzc3NHlX+gVrkepv0uwvU4eFhtLS0YOnSpT4eqCRQv1mQICW+cbin6CsrK7Fy5UqhPSZf8GOz2bBhwwbBKmUmRLOj0nTj8t2jDh8+jKKiIuTk5Ex7Y5+LoiZ/48/kgdPXOoB//f4NuJwunP3jncguyvD4u0atxE3XbsWRI5MoWhCer+qx/ACMRAcpsZ0fMQpSMUZIIyGSJRIJ9Ho99Ho9cnNz4XK5BA9U9xa57tePv9bD3o4bJpNJ+AFvtVphsViELlLuKX4y6T+2IUFKfKPwl6LnRdKRI0eEgp/Vq1fPulI50gb27uMGE452ux1VVVUYHx/H2rVrYTAYIjLuTIhWUdPEsBGTI0a4nC5MDE0AyPDZJjlRi+REbchjfhMJt0AqWu1wZ4NYlxEcCxHS6eBbmBoMBuTn5ws/cEZGRtDd3Y26ujqoVCoPgertdcz7PLvPzb2LlMPh8DDp946gEscOJEiJbwx8VNS9ip5Pfzc0NKCjowOLFy9GVpb/IplwiWbKPtC4Y2NjKC8vh1ar9ekeNR2xXEMa7r7nL8/B9h9sgcvpQuGa+bOZnl/EKHLmgukKpOx2O+RyOdrb2yNSIBUJxBghFeOc5iJq6/0Dx+FwCBX87e3tqKmp8YjAGwwGv0I51C5SZNJ/bEGClDjm4W9kDocDAHzWJdXX14PjOA9PzkgQzaIm73EZY+js7ERDQwMKCgqQn58f9sMnlhHScOcqlUmx6sSlM53WUUUshY13gVRTUxPGxsYwNjY26wKpSPFNFX/hEo0I6XTIZDIkJycjOTkZwFRjEV6gNjc3w2QyQaVSwel0YmhoCAaDIWQPVD7bxVtMeQtUPsVPHD2QICWOaVwuFxwOh5Cid1+DNDAwAJPJhKSkJKxatcrvjXA2RCtC6i3yHA4HampqMDw8jNWrVwvRidmOGwmilbKfKU7n1OchlR4dkRQxRWo5joNcLodGo8HixYtnXSAVKcQoSL8pKftwUSgUHhF4q9WK1tZWDA4Oor6+HjabzcMDNZCHLpn0H5uQICWOWdy9Rd2FqMvlQkNDA7q6uqBWq5GdnR1xMQpEN0LKC92JiQmUl5dDqVSirKxsVgIgVp2awtluNvQPjOOPf9kHxoDrrzgB6WmB7a+I6YlEgdRscW9LKxb46J2Y5gSIQ5B6o1QqodPpYLFYsHz5cmGJyMjICHp6egQPXXcPVDLpP3YhQUocc3in6N3FqMlkQkVFBVwuF8rKylBdXR21Qo1oriFljKG7uxu1tbXIy8vDggULZn1zPdYjpM2tg+juHQPA0Ng8EFCQEoEJJrRi0UFKrIIUgOjEnxijtgA81vTzJv2ZmZmChy5/DXV0dIAx5uGBqtVqwzbpt1qtJFBFCglS4piC/1XMC0H3G3BfXx+qq6uRmZmJ4uJiYRF8tARptKrsGWMYHx/H6OgoVqxYgZSUlIiMG+s1pNEWpMtKsrB+dS5cDFi+JHjhmphS5Ucrc9FBSsyCVExzAsQZIQUCz8vdQzc7OxuMMcEDdWRkBK2trUKVPy9Q1Wp1WCb9VqvVp4sUeaDGDhKkxDGBe4rGO0XPV9H39PRgyZIlSE9PF94XTUEaDR9So9GI1tZWOJ1ObNy4ESqVKmJjR1NA89jtdjgcDh9vwrm48Wu1Slz1g+Ojvp+Z0nRkCL0Tk1idnQHN/9wRXIxhf+8RfGYsx6mLFiBdF1sbq9mkoqPRQUqM4o//DolpToA4C62AqXmFsmSK4zjodDrodDrk5OR4rGE+cuQIDh8+DJlM5mPS72+cQCb97l2kyKR/7iFBShz1BEvRG41GVFRUAADKysqgVqs93httQRrJsfkIr8FggMPhiKgYBaIfIe3r60NVVRWcTie0Wq0QGeN9UsUSlYzFQ2fMYsHfPy/HwMQkRkwWnLGkGAAwaLJgf+8gzL1DSFDF4cylC+d8bt5E4vxEqoOUGAWpWFP2oQq/uYb3IQ0Xf2uYeZP+3t5eNDQ0QKlUeghUf9dQIIHqcrnw4YcfoqSkRFi7ygtUMumPDiRIiaMaPirqdDo9qi4BoLe3F9XV1cjOzkZxcbHfm97RkLLni7C6u7uxdOlSuFwutLe3R2CGnkRTkNbX16OrqwslJSXQarVC8Ut9fb0Q1e7t7QWAaVO3dpsD1R/WI06jwMINhcfEQ0EmkSBOJkWcXI44+de3Zb1SjkytCg65EvOTEmI4wymi9aNhpgVSYhakYpoTMHUfkcvlsZ6GD5FaSuDewhSYch/hTfr5a0itVntcQ/7Oh7vQtNlskMvl4DgOTqcTTqcTVqsVf//739Hf34/7779/1vMmvoYEKXFU4p6id18UD0z94q6rq0N/fz+WL18urGHzR7Tae0ZqbLPZjPLycjDGhAhvX1/fnBvuzxQ+RT84OIjS0lLExcXBbrcjLS0NaWlpQur2q6++wuTkJA4dOgSJROIRGeMjwXabAzUfN2B0YBwfvfwp4tQK6BK1yC7OjOicgbmP1moUClx33DocmTShMOVr2y6lVIrvFOZhQXERVCIRE3MhtEItkIqPjwcgruifWFP2Yqz8B6InlGUyGZKSkpCUlARg6hriPVBbW1tRXV0NrVbrYdLv7gLhcrnAGINMJvPoJMUYQ09PDyYnJyM+5286JEiJow5/7T/5G+3k5CTKy8shk8lQVlY2bVpbzBFSvpVpeno6Fi5cKDxwoymiI8nIyAgqKirAcRw2bNgAmUwmfGY8fOpWKpWioKAAer0eExMTGB4eFtJucXFxSExMxIHnD+Gj5z+DSqdCdnEmlGollOro+1zOFckaNZI1ap/XpRJONGI0VtddoAKpwcFBAMAnn3wy6wKpSCH2anaxMVfzksvlSElJEYpArVarIFCbmppgsVgEF4iEhARoNBoA8Pmhw3EcTCaT8HcicpAgJY4q3FP03ovMeRuknJwcFBYWhnSTE2NRk8vlwuHDh9He3o6SkhJkZnpGAKNVkR6pc8EYQ3t7O5qampCbm4vW1tZp/Sf5Y3JP3ebn5wutB4eHh9Hb2Qez0QxOzmH9ucuRU5SNpKzYp7G/aYghysYXSBkMBhw5cgRr164VCqT45Syx6iAl5uIhsQrSWES3lUqlkKkBprJRvECtra2F3W4HAHR0dCAxMRF6vV44f2azecYNSIjAkCAljgoYY3A6nXA4HD4peofDgbq6OgwMDIRtgxStynJgZgLPYrGgoqICNpstYCvTaM05EkLX4XCguroaIyMjWLt2LeRyOVpbWz22CWcf7q0Hr7kvAx+s2Q/DPD0S8/XoHe5G10cdMBgMQmRMo9FExI+V8I/Y0r78fCJRIBXJOYlV+IlxXjMtaoo0vAcq7wIxMjKC8vJymEwmdHd3o7m5Gc8++yw2btyIiYmJWReVPvroo3j00UfR1tYGACgpKcEvf/lL7NixA8DUdfTrX/8af/3rXzEyMoL169fjkUceQUlJyWwPVbSQICVET7AU/cTEBCoqKiCXy7Fx40YfO6HpkEgkQnV+pAlX4A0NDaGiogJJSUlYvXp1wKhitFL2sxWk/BpQ965RJpPJY5tA44eyb32SDqdftd1jLKPRiOHhYQwNDaG5uRkymUwQHYmJiXPSuvKbhBjFlrdAjnUHKbGJdh6xClIxzovjOCgUCkilUixZsgSMMWRlZaGnpwcff/wxvvrqK+zevRuHDh3C1q1bsXXrVixevDiszz07Oxv33HMPFixYAAB46qmncMYZZ+DQoUMoKSnBfffdhwceeABPPvkkioqK8Lvf/Q4nnXQSGhoaoNPponXoMYUEKSFqXC4XhoeHoVQqhWpHAEKnorq6OuTl5aGgoGDG1iGxjpAyxtDS0oKWlhYsXLgQ2dnZQW9s0WxJOtNxeUsn7+US4RjjhwvHcdBqtdBqtYIvIS88urq6UFdXB41GIwjUhISEkFODYlqjKzZxI6b5hCL+wu0gpdfrZ5VCFmvKnoRyeLgvJeA4DvPnz8ett94KANi5cyfKyspgMBjw5ptv4uabb4Zer8ett96K66+/PqTxTz/9dI9/33nnnXj00Ufx6aefYvHixXjooYdw22234ayzzgIwJVjT0tLw3HPP4YorrojgkYoHEqSEKHFP0X/66afYsGEDFP8zC3c4HKipqcHQ0BBWrlyJ5OTkGe8n1kVNNpsNlZWVMBqNWLdunVA1PN24YhGkLpcLjY2N6OrqwrJly4T1WO5jAqE9DGd7THx1fkJCAgoKCgThMTw8jMbGRlitVqEvNi88xPCAnnCY4WIM8XLfgiYxCWNAnPMJ9zMMVCA1MjISkQ5SYowiA0eH8BMTTqcz4LzMZjOWLFmC733ve7j55pths9nw2WefzTiN73Q68a9//QtGoxGlpaVobW1FX18fTj75ZGEbpVKJzZs3Y//+/SRICWKu8E7RS6VSQdiNj4+jvLwccXFxKCsrCztF7020bZ+8q8rdGR0dRXl5OeLj41FWVhay9Um0RHS4gpRf7+pwOFBaWhq06nQ64RANke0tPMxmM4aHh4XULeC/8MV7niabHf2Tk8gxxEMa4Qd6u2kQdza8BgdzYqE2E2MOMy7O2YQibfr0b44RYhDxPJGI+vnrIMX/kJlJgZRYI6RiFqRinFewta1ms9lDfCoUCmzatCnsfVRVVaG0tBQWiwVarRb//ve/sXjxYuzfvx8AfH7gp6WlRcWDWiyQICVEhcvlgs1m8yhc4oVdR0cHGhoakJ+fj4KCgojc9KOdsucrNd1xr0IvLCxEbm5uWMcihgjp8PCwsN61pKQkYCQh1OOK9AOcMQbTmBnq+K/Fg0qlQlZWFrKyssAYE+yl+MIXvqsLH5kHAIfThbvf+xjtI2M4fXERzl2+OKLz7DQPYdRugp058elIM2wuB94frEWRNh2VY53YPV6BJdI0LHA5MWybRJJCCykXuxaGx0KENBje/dP9taeUy+VBC6QoNR4eYilq8iZQ5Jb/0eKv4DRciouLUV5ejtHRUbzyyiu4+OKL8cEHHwh/976OxHptRQoSpIQoCFZFz3EcmpqaYDKZsGrVKsHoOBJEO2Xv/QC32+2orq7G2NgY1qxZI3QVme24kSCUcRljaGtrw+HDh1FcXIx58+ZNG/nk3zcdkTym5+/chX3Pf4Kyb6/BJXd+x++89Ho99Hq9UPjC20u5XC6Ul5dDp9NBpdejZ3QcwyYzescjb4S9xjAfp6WvgNVpR+NkHwZtE1hjyAcA/KXtPbQa+9EsOYIvmwZQPdYJcMB8dRpuLT4dOllkW8eGipgeiNF+QAcqkHLv/uNdIEUp+/AQ67yCpexNJpNPG+qZoFAohKKmNWvW4IsvvsDDDz+Mm2++GcDU2vyMjAxh+4GBAZ+o6bGE+K4C4hsHn6LnW0i6i9GxsTFYLBY4nU6UlZVFVIwCc1vUND4+jgMHDgjHMhMx6m/cSDGdIHU4HCgvL0d7ezvWrl2LnJycacVAqIJ0tqLC6XThjUfewT9ueR7DfaM4uKcSowPjOPhOVUjvl0qlSEpKQmFhIeRyOZYtW4Z58+ZB4nTi+HgV1utVKJEzdHR0YGJiImLiOU4qx8U5m1Ciz0avZRQAkKyYqqBNV+rhBEOfawKNk70YdZgwYjehxTSAFuORiOw/XI71COl08AVSBQUFWLt2LTZt2oT58+eDMYbm5mZ89NFHOHz4MKxWK0ZGRoIu2ZlrxCyUxbqGNND5ipYxPmMMVqsV+fn5SE9Px549e4S/2Ww2fPDBBygrK4v4fsUCRUiJmOIvRQ94prUVCgXmz58fFQufuShqYoyhq6sL9fX1mD9/PubPnz+rhygvHKORrgwkOHhLJ37tLl9gFsqYQGj9vWcjdpoPteLfD70Fi9EKTbwa5/70dLz7z49w/Lkbwh6L4zjI5XIkJycjPT0dixYtgslkEtaftra2QiKReNhLzXYt85jDDBtzAgyYcFgAAMclFePL4RYwAOsTFmDcbsKgbRI56iQUazOCDxglxJYyjPV8vLv/WCwWtLW14ciRIxEpkIoktLY1PIIJ5UgI0ltvvRU7duzAvHnzMDExgRdeeAH79u3D22+/DY7jcMMNN+Cuu+5CYWEhCgsLcdddd0GtVuOCCy6Y1X7FDAlSIibwKXp/UVG73Y6qqiqMj49jzZo1aGhoEG17z2DwYreqqgqDg4MRW24QrYdKIEHa29uL6upq5ObmorCwcEb7DyVCGqogNY6Z8MYj70CtV+G0K0+EVCZFQpoBMoUMMrsTWYXpWL9zFdbvXBX2PAPNzdt4fXx8HMPDw+jp6UFDQwNUKpWHvVS4vpbbkhfDyVzQSpUo0WUBANYk5GO5MhN2lxMXZJchUUGtCr2JtSD1Ji4uDnq9HmazGStWrJh1gVQkEaPwY4yJcl5A4JS93W6Hw+GYtSDt7+/HhRdeiN7eXsTHx2PZsmV4++23cdJJJwEAfvazn8FsNuPqq68WjPHfeeedY9aDFCBBSsSAYEb3fOW5TqcTInHuVfaRJpoRUpvNhuHhYej1+og4AvDwN+9Ip7q8RaHL5UJDQwO6u7uxfPlyoVo93DEjuR0AfPDiAfznsb2QKWTIWZyNFVtLMNQzgoyCNDjsDiSkG8KepzfBxLFEIoHBYIDBYMD8+fPhcDgE0cH7Wur1eg97qekeuEqpHKenr/R4TSdT4WLDOtjtdtGIUbEJQLHNB/h6Tv4KpCYnJzE8PBxygVSk5yU24cffe8U2LyBwyn5ycmot+WwF6eOPPx707xzH4Y477sAdd9wxq/0cTZAgJeYUPirqL0XPF8ssWLAAeXl5wt/E2G9+Onp6etDa2gqFQoG1a9dG9IYbTqFQuOPyY1osFpSXlwvrXWe6gD8aKfvMgjSodHGQK+VIzZmKOCdlJiAtLwVgQHLW7HtMM8YwbrFCHze9QJDJZD5pWz69393dDZfL5REVU6vVohNR4SCmuYtVkPr7vkskEp9COu8CKbVaPatIe7A5iVmQinENaaAf/GazGcDsBSnhCwlSYk5gjMHhcMDhcPik6G02G6qqqjAxMYG1a9fCYDB4vFcM3ZRCxel0or6+Hn19fcjJycHY2FjEHwLRFqR8C9Pk5OSglk6hjglENmW/YtsS/ObNn0GhUiDxf9HQlHlJuPTO8wEAKt3sqs8ZY3j8q2rUDo3gjJJinLGkOKz3x8XFITMzE5mZmWCMCVGxwcFBNDc3e0TFEhMTQ16PKwa+6UVNoRDqWk33DlJ8Iwfe6cG7g1RCQgLi4+Nn/F0UayRSrPMCpu7l/ryhTSYTlEqlKEX00Q4JUiLqBEvR836WBoMBGzdu9HsDOFoEqclkQnl5OTiOQ1lZGUZHRzEyMhKRsd1xT9lHGpvNhoMHD4bUwjQcIi1k0vN9lw/MVojyuMCh9sgguieMqOjpD1uQusNxHHQ6HXQ6HXJzc/32VddqtYJANRgMPg86sQkuMc1HjIJ0pnPyVyDFd5Cqra2dVYEUf68Q27lyOp1+m1GIgUApe6PROKdrf79JkCAloop74ZL7jce9f3tRUVFQC6GjQZD29/ejqqoKmZmZWLhwISQSCcbHx6PmFwpEVuQ5HA40NzfD4XBgw4YNIbUwDQV/c/X3OUfDW7Wloh12qx1Fa8NroiCTcDh7cSHqRsZxSnFBROfk3VfdZrMJ60/r6+ths9lgMBgEgSrGiKSYEKsgjUTEL5wOUgkJCUGXgog1EinWgiYgcMo+Uh6khC8kSImo4J6iB+AhRq1WKyorK2E2m0Pq3z5dC87ZMNsqe76Xe2dnJ5YuXYr09K9bPkbTLxSInDiYmJjAoUOHIJfLoVAoIiZGeUIRDJEWFQ1fNOOeC/4E5mK4+k+XYN2pK6d/kxtlOZk4bXlJROfkD4VCgbS0NKSlpYEx5tHetL29HYwxKJVKdHd3C1XZsUZMAlBsAhmIjr1SOAVS/I8Z9wIpsUZIxSxIA1XZ85ZPYjuXxwIkSImI43K5hMIlwFOMDg0NobKyEgkJCVi5cmVIi/bnIkI6k0iLd+GP9yL3aHVU4seOxDnp6elBTU0N8vLykJKSgkOHDkVgdp6Ech4ifa4mR4xw2p1wOV2YGIp8h6VowHEc1Go11Gq1IDrq6upgMpnQ19eHxsZGxMXFeRS9+FviEk3EJgCP5QhpMIIVSHV1daGurs6jQEqpVHoslRILYjXFBwKn7L372BORgwQpETF4T7lAKfrm5ma0traG1HLSHalU6rcnfCTgbzjhPtgGBwdRUVGB1NRULF682O9NVczuAC6XC/X19ejt7cWKFSuQkpKCsbGxmHSA4omk2Fl54hJc/NvzYLPYkL0wE4/d8DRWb1+GtTtWTPtesTy0JRIJ7CYHxrqM2PKt48GYSyh6aW1tRXV1tYe9VHx8/JxEm8RyfgDxCtK5ntN0BVImkwkA0NzcPOsCqUgi5ghpILFsNBqpwj5KkCAlIkKwFL3FYkFlZSUsFgvWr18PvV4f1tjRFnZA6DdGxhgOHz6MtrY2LFq0CNnZ2QG3jXaEdKZj85Fdl8uF0tJSYT1UNB8M0W4d6o1EIsG2CzcBAG4/9V7Uf3YYX/y3HCu2lkCunD6qKIZIoHnCjCdvfBnjRyZg6rbiW9duR3JyMpKTkwFMLX3h0/t8VyD3lG000opiE4BitTKK9TnyLpAaHBxETU0NrFarR4EUf63EqoNUsPacsSbQ3EwmE0VIowQJUmLWeKfo3b/Eg4ODqKysRHJyMlatWjUjX725EqTT4b72dcOGDdN2zJiLtqThwls6paSk+ER2o9W1KtQHXbREYO6SbLTVdCJzQRqk8thHhULFbLTCNGaG1WjDUK+vW4NSqfQoejEajRgeHsbIyAhaWlogk8k87KUiYbouBqHujtjmA0zNSQzRR3dkMhlkMhkWL17sUyDV0dEBIPQCqUgi5gjpdGtIichDgpSYMXyKvqurC+Pj4x5tJV0uFw4fPoz29nYsWrQIWVlZM77BzYUgne7BxttThbv2NVoPzHDHZoyhtbUVzc3NWLhwIebNm+ezTbQiuqGuIY0Wl971HWy7cBMyC9JE+/DzR2K6Ad/6yUnoaezHGdedEnRbjuOg1Wqh1WqRk5MDl8sl2Et1d3ejrq4OGo3Gw15qpqbrsY7+uSO2iC0gjgipN+7Cb7YFUtGal9igKvu5hwQpMSPcvUUtFgsmJiY8UvQVFRWw2+0hRRKnI9qRRiBwhNRdyE1nT+Vv7GjOO1TxaLfbhcYDwVwNYi1IoyXepTIp8pfmCN1qpvv8xCQmFm4sQFFpvtAAIFQkEokgKICpa4D3tGxqaoLFYoFerxeipzqdLuQlK2JCjIJUrHMK9PmGWyAVyQ5SR2tRE0VIowMJUiJs+BQ9/4WVyWSC8Dpy5AgqKyuDFvuES7RtnwIJXr6D1OTkZEj2VN6IwT+Vt3RSq9UoLS0N2hUoloIUiK7Y6Wrowe8v+jPkcXLc+sL1SMxIiNq+IkmkzolcLkdqaipSU6caCvD2UnzbSgAwGAyCQA1m/C0msXW0ib9YEU4kci47SIl1DSnvvBKoqIkipNGBBCkRMu5V9O696CUSCRwOBxoaGtDR0YGSkhJkZmZGbL9SqTRqwg7wH8kcGxvDoUOHoNPpUFZWNiN7HV6IReOhGYrI4y2d8vPzUVAwvTm8uyNCNIphptt3NAVp+Xs16G8fhETKoXZ/E447e13Q7cUWCYw0KpUKWVlZyMrKAmMMExMTQsq2qakJCoVCECUJCQnCDxmxnRcxClKxpuxnOifvAim+mM67g9RMCqTEmrLnnweBetmnpaXN9ZS+EZAgJUIiWPtPp9OJyclJoWpbq9VGdN/RjDR6j88YQ0dHBxobG7FgwQLk5eXNau0rP+ZcClJ/lk6hjglEfr7RFpvBmBieBGMM605dic//cwhKtQLLtywGAIweGUdHTRcKV+dHrO3o0QjHcT4pWz4i1t7ejpqaGmi1WiQmJgqWbmJBjIL0aI+QTod3Md1sCqTEKkjdn3PeGI3GiD/jiClIkBLT4p2id7+59Pf3o76+HhzHYcOGDVFZDzRXgtThcKC6uhojIyNYvXq10N5xprivT430TTdQUZPZbEZ5eTkYYx6WTqEQjZak7uNOt02k99vd1Iu//eRZMMbww/suwG/e/JnwN5fLhb//9Fl01HZhzSnLcdFvzgtrvscyUqkUSUlJSEpKAjC1dIW3lzKbzaivr0dfX58QQdVqtTE7Z2IVpGKbU7SEn3eBlHe0PZQOUmJcQ+p0OoXsnzcWi4Vsn6IECVIiIIwxOJ1OOBwOjxQ9MHUjaWhoQHd3N/Ly8tDT0xO1G8tcCNLJyUlUVVVBpVKhrKwsIlWloVbwzwR/ywx4s/60tDQsWrQo7M8jmoI00lX2VrMNn77+FdR6Fdacstzv+/vbBzE6MAawqf+fmJGAugONyC2Zh8QMAyxGK+xWByxGW1j7nmtiLW4UCgXS09ORnp6OyclJZGRkAABGRkbQ1tYmFFDxAjUuLm7O5iZW8Se2Oc1V1NZftD1YgZTD4YhYgVQkCSaUyRg/eojvSiBEQbAUvclkQnl5OQCgtLQUdrsdXV1dUZtLtAWp0+lEXV0d8vPzsWDBgog9TMLxOA0Xd5HHGENLSwtaWlqmNeufbkx+vEgSjaKmL/5zCK8++BbiNEokZiSgYEWuzzZLjluIU36wFRMjk8hZlIl/P/gWPvvPQWQWpOOn/7wal939HTQdbMXS4xeFNZeOum7se34/1u5YjkWlRQG3c9gdkEglokxJzhSO4xAXF4eUlBTMmzcPLpcL4+PjGB4eRm9vLxoaGqBSqQSBGsmKbH+IUZAe6yn7cAilg5RCoQDHcaLqIBWs2Ip8SKMHCVLCh2Ap+r6+PlRXVyMzMxMLFy6ERCLBxMRE1KrggehV2TudTtTW1sJut6OgoAALFiyI6PjREnj82PyPhsrKSkxOTs6oC5b3mEB05hvpoiZ9sg5qvQrKOAW0Bv/LEhRxcuQvz8GTt76Aqg/qkLkgHYzhf4VmQOaCdGQuSA/rOADgj1f+HW2VHXjv2Y/xeOODkEp9H1xNX7Xiz9c9AV2SFj958irok2ZmfSY2weX9GUkkEhgMBhgMBgCAw+EQ7KXcK7J5UaLX6yMqjMR2fgBxRkjFMifvAqnKykpwHCfKDlKBhLHZbKYq+yhBgpQQCJaidzqdQqHM0qVLPaoMox3BjEaVvdFoxKFDhyCTyQRD8UjDt0+NxrmRSCQwGo1oamqCVqudsROAO0dTyn7p5kVIzDAgThOH5OzAa317GnsxNjgBpUqBtTuWY9VJS5Fbkg25IvCtb7q5JKYb0FHbDUOqHhKJ/21rPq7Hkc4hjA1OoL2my28U9mgl2PmRyWQegsNisQgV2VVVVXC5XB72UrPtCCRGQUoR0tDhOA4GgwHz5s0TXQcpf4KUnyNFSKMDCVICQPAUvdFoRHl5OSQSCcrKynx+HfKCMVoPh0gL3t7eXlRXV2PevHkoKirCF198IboWn9NhtVrR2tqKgoICzJ8/PyLnfS6KmiwWCwYGBpCQkOBTGBDOfjmOQ3ZxcGuxpq9aseepD6FUKXDiRZuwdPMiyJXyWZ+rGx+/AjUf16NobWArrQ3fWo2GL5phSNGjaM38We1PTIR7bcTFxSEzMxOZmZlgjGFychIjIyMYGhpCc3OzUPDCp/dnsnZbjIJUbHMSqyAN1kEq3AKpSEIp+9hAgpSAy+WCzWbziYoCX3tZ8uLN35fUfa1ktKrsI+Hnydsh9fT0YNmyZUKUN9oG9pEUeC6XC3V1dTAajZg3bx4KCgoiNna0I6RDQ0MoLy+HQqFAQ0MD4uLihEhZNJYJtFS0Y7B7GCptHFQ6Ne46/2EkZiTg8t9/b1qbp2DzUWnjsOaUFUHfn56fipufuXYm0xY9M/0OchwHnU4HnU6HnJwcj4KXzs5O1NbWQqPRCNeEwWCY9n4iVvEntjmJMWoLBBd+4RZIGQyGWWeJ3OcV6Nqj1qHRgwTpNxg+Rc97C3qn6Ovq6tDf34/ly5cLHV78wX9xg32JZ0MkBK+7HZJ3lDeaLT4jKXb5YwCApKSkqNwUo+UZ2t/fj/7+fhQXFyM1NRUul8unuEGpVAqWQ6GsHXM6nNj3wn44rA6c8N0yKNWe0ZK1O5ajt7kP+iQdJkcn0d3Yh8HuETR80YIVW0sifozfBCJ5bXgXvNhsNmH9aUNDA6xWK+Lj4z3am3pfEyT+QsPlcom2ml2MHaSCPWuodWj0EN8VSswJwVL0k5OTKC8vh0wmQ1lZ2bSea9GsJvcefyY3mIGBAVRVVSE9PR0LFy70GSOaEdJICTze0ik9PR2LFi1CZWXlnNlJzQaHwwGz2Qyz2Yy1a9dCr9fDZrNBJpMhOTkZycnJAIC6ujpYLBYYjUahlSX/8AlkJVS7vxGv/7934LQ7oEvSoezbazz+npiRgEvu/A4AoK9lAFX76tB0sBWP/d+TuOSu72DD6asjdpzRRGyCK1rzUSgUSEtLQ1paGhhjHu1N3dcTurc3pQhpaIhxTsDslhIE6yBVV1cHu90+4wKpQJFbp9MJq9VKgjRKkCD9BsJHRf2l6PlUSG5uLhYsWBDSzYIv3olWpT0/B6fTGVZKxuVyoampadp2ppFOq3uPPRuBxxhDc3MzWltbsXjxYmRlZQGIXlQ3kg8tk8mEQ4cOweVyoaioCAaDIeCc5XI5pFIpioqKwBjzayXknsqVyWRIykyA1qCG0+FEcnbw3vTp81Nx/PkbUP1JAyZHjXj1gbewfucqv8crxge3WJirLk0cx0GtVkOtViM7Oxsul0tYT9jf34/GxkYolUrhe2C32yOWrp0tYo2Qim1OQGSXeUWyg1SgbN/k5CQAUKemKEGC9BtEsBS9w+FAbW0tBgcHw2o3yRPNfvP8PMMZ32KxoKKiAna7fdp2pmKNkAazdIpWaj1S4vzIkSOorKxEZmYmpFJpSGKB3y/HcYiPj0d8fDzy8/MFK6Hh4WE0NTXBYrEIqdwr/9+FUMiVSMud/npdu2MlFq7/BF0NPZi/IhcuF4PNbIVKG9zIfcpA3w5d4tw/hMTUphOI3ZpNiUTic02Mjo7i8OHDGBkZwUcffeRhLxUfHx8zASbWqK0YBWmwNaSzIVodpMxmMwBQhDRKkCD9hhAsRT8xMYHy8nIolUqUlZXNqNPKXPabn46hoSFUVFQgOTkZq1evnnbtVLSLmmYy9vj4OA4dOhTQ0ilaUd3ZRl7dTfr5qPTnn38+K9snbyshPpXL/yeRSDA4OSCIkUCVt3EaJW598f/Qc7gPyVmJ+H9XPY7uxl6c9/NvQaVVYaBjEBtOXyUcBwAMdAzip5t/A9OEGT9/7jqsPnnZTE6LaDm4pxKfvPoFNp2zHiu2LQnpPWIQW/ySj76+Puj1eqSlpQnp2pqaGjgcDg97KY1GM2fzFmN6XIxRW2DuhHKwAqnu7m6fAqlAEXeTyQS5XC6aaPyxBgnSbwCBUvSMMXR1daG+vh55eXmz6lIklUqjbo4/nVByT28vXLgQ2dnZIR2P2AQpv2xi/vz5AS2dopmyn6nQdTgcqKysxMTEhEdE13tM/t/exxXqflUqFbKyspCVlSWkcoeGhtDd3Y36+nrhwZKYmAiNWosjHUOY9z+LKLlChtzF2RjoGERbTSeGe0dxcG8VGj5rxuSIEZMjRqSv+zr931bViclRI5iLoeaj+rAFaV/LAPY+/SEWrM4X5ZrVZ+54Bd1Nveio7QpJkIo1YuudrjUajUJUvbW1FVKp1GP9abTsgvg5iU38iTVCKoYOUgCEAim+oQNfZMl3kNLr9ZDJZDCZTFCpVKL7wXGsQIL0GIYxBofDgY6ODgwMDGDlypUeKfrq6mqMjIxg1apVSEpKmtW+otVNyX38YALMZrOhsrISJpMp7I5F0ayyD0fguTsbrFy5Uij48Uc0I6QzGXdychKHDh1CXFwcSktLoVAoPP7uPqY/MTrT/bqncufPnw+73S4IkZqqGjzynWdgNztQtGE+bnv5/6DVasFxHFLmJeHkSzajvboLG89ch9aKDiji5IjTxnnMbcW2JTjhu2UY6RvDKZdvDXt+L9//Jj759+fQJ+mwqLQQ8ckz76QVDYrXFWBieBLF60PvUiamh3Gga4lvdsG3Nw0UDXNfkxzNOcUaMUZtAfEIZe8CqYqKCkilUlitVtTV1eGnP/0plEollixZgqSkJDidzhlfM3fffTdeffVV1NfXQ6VSoaysDPfeey+Ki4uFbS655BI89dRTHu9bv349Pv3005kf5FEACdJjFJfLBYfDIYhEu90u3JDGx8dRXl4ufBkiES2I5hpSILggHRkZQUVFBeLj41FaWhp2OkUikcDhcERimn7HDuW8mEwmlJeXg+O4kJwNorWGdCbj9vf3o6qqSvCqnYnYjNTDUi6XIzU1FampqdBK9LCbpz7XtspOHDx40CNStvWi44Rr/4a//QjDvSMoWrcAhw4dFMZTxMlx3Z9/EHB//Gcb6KGasSANar0aiRkGqLTBP9NARFNIXP6H7+PMG08N2u3KHbFGSIMhkUiEtYL8jxbeLohfk6zX6z3spWYqkni/ZDGILHfEIvzc4ZupiKF3vT8MBoOw/vTRRx/F7t27sXfvXnR2diIlJQVbtmzBtm3bsG3bNhQXF4f8Pf3ggw9wzTXXYO3atXA4HLjttttw8sknCz68PKeccgqeeOIJ4d/eP/KPRUiQHoO4Fy5xHAeZTAan0wnGGDo6OtDY2Bg0HTwT5mINqXcEljGGtrY2HD58GIWFhcjNzZ3R8US7qGm6sfkCoIyMDCxcuDBkZ4NYp+wZY2hqakJ7ezuWLl2K9HT/feFD/UwiLXayCjMwb2EmelsGcO5PTsemTZswNjaG4eFhYVmEVqsVhEjRvAKhL737XAY6BvHApY8hThuHHz9xpVDc1N3Ui1u33w0wht/99+eYtzDLZw5n3rADq05aitR5yVDEiW/dmUQiQWpO4Ei8N2KL/s1kPt7RMLPZLETVu7q64HK5PLpHhdOu0r0wT0yIVZACgX/MxRL3KnuO47B8+XIsX74cixcvxp133oknnngC7777Lnbt2oWf/OQnSE9PR2NjY0jBkLffftvj30888QRSU1Px1Vdf4fjjjxdeVyqVAe+pxyokSI8h+BQ9H+3j7Zj49Z3l5eUYHR3F6tWrhbUzkSLaa0ilUqmHSLDb7aiursbY2BjWrl0Lg8Ew47Fj1akpkKVTqOPa7fZITVMgVEHqvkRiOheDUCOkkRak5e/WoLupbypiJZV6RMp4Y22+MIr3LTQYDLBarbBYLILY2ffCfjR+1QKO4/Dl7gps+e7G/41fjYmhKRuYg3uq/ApSiUSC/KU5Mz4GsUUkAXGJrUgIZJVKBZVKJbQ3nZiYwMjIiEc1Nv+jJSEhIWikir+PiOkcAeJd1wqIU5AGqrI3mUzQarVYu3Yt1q5di5///OewWCyorq6ecaHT2NgYAPg8k/ft24fU1FQYDAZs3rwZd955Z9AGNccCJEiPEXgvPn9fcrPZLCzG3rhxY1RC/3MZIR0bG0N5eTk0Gg3KyspmfTzR9CENFMl0F3QbNmyATqcLe9xYpex5BwCdThfSEolozXU6NAYVpnQBB22Cr02LXC73MGI3mUwYHh7G+Pg4Wlpa0NHRgfF2EzQpKqh1KijVCpSUfb3Oq/SMNfjgxQNgLoaNZ62buwOLIWITyJGO2LpXY+fm5sLpdArFLu3t7aipqfGIqnt3A+LPj9hElhjXkIpZkAayo/LXNjQuLg5r1qzx2TYUGGO46aabcNxxx2HJkq+LCnfs2IFzzz0Xubm5aG1txe23346tW7fiq6++impBXqwhQXqUwxgTxCh/c3avom9vb0djYyMkEglWr14dtZvSXBQ1OZ1OdHR0oKGhIaJLDuY6Qjo2NoZDhw5Br9fPaM0rEDtB2tPTg5qaGuTn56OgoCBi6fhoHE/RmgLcufsWTI6asHKaCnJ338KBgQFkZGTgkxe+xPO/3gWJVILz/7ADOYuyMeEYg3xEOuWDmpGA+97/pc9YRzqHoIlXQ62f2ZpRsSMmYRPtJQR8K1u+6NNms/ntBsQLVP7HsZjOESDelL13YxaxEMgYP9J97K+99lpUVlbi448/9nj9/PPPF/7/kiVLsGbNGuTm5uI///kPzjrrrIjtX2yQID2KCZSiB6ZunNXV1RgfH0dJSQlqa2ujfuOOZoSU4zh0dnbCbDZHxBXAnUgKUqPJisbDA5ifl4x4vcpn7M7OTtTX16OgoAD5+fkz/kyiJaIDCUOXy4WGhgZ0d3eH3TjB/RgDHW+0rs2iNQUzep9EIsHkkAkA4HK6UJS/EGl5SVPV+zU1cDqdHj6X/DrDT179HE/+4kXok3T41a4fQ58UXuRb7BzrEdLpUCgUSE9PR3p6uk83oLa2NmEuvb29QntTMSBmQSpGghnjR0qQXnfddXj99dfx4YcfIjs7O+i2GRkZyM3NRVNTU0T2LVZIkB6l8FFRp9MJjuM8vth81bler0dZWRkcDkdUxSIQ3Qjp5OQkRkdHoVQqsXHjxoinLCIp7p771xf44lAbCvJS8LP/O1kQeE6nE7W1tThy5EhEBPVcRkitVisqKipgs9lQWloadpcSfz6koew31pzz453gwCE1NxnLNi8Gx3GCEDEajRgeHsbQ0BCam5uFdYb7XvoEw72jMI6aMNg1HBFBKrYIkpjmE8siK+9uQC6XC4ODg6iurkZfXx8aGxsRFxfnYS8VK0N1MYq/aHVpigSB5mY0GmfdpYkxhuuuuw7//ve/sW/fPuTn50/7nqGhIXR2diIjI2NW+xY7JEiPMtxT9P6M7ltbW9Hc3OxRdc5bkUTzphStCCmfIo6Li0NWVlZU1s9EUpBabQ447E5YbQ5hbKvVis8++0ywdJpJJyxv5kqQ8ssLDAYDVq1aNSPvvVDnKjZBqkvU4pI7z/d53d3nMicnR+j6Mjw8jMHe4anvGxgmnRMYHR2FXq8XvnfDvSN4/ObnIZVJ8IP7LpjWl1Rs50SM8xGLQJZIJNBoNMLyKL696fDwMJqbm2E2m4X2pgkJCXPa3lSsRU1imxNPsKKm2Ua9r7nmGjz33HN47bXXoNPp0NfXBwCIj4+HSqXC5OQk7rjjDpx99tnIyMhAW1sbbr31ViQnJ+PMM8+c1b7FDgnSo4hg7T/5Ihmj0Yh169YhPj5eeB//xYrmL9JIR0jdTeJXrFiB3t7eOS88mgkXnLMWSxZlonhBGsq7+7C3uQN5UqBkfl7Ilk6hMBe2T7w10oIFC5CXlzerB/9c+ZBGgnDn4t715dvXnIrn7/w3ijfMh0QBVFVVedgI1b53GHUHptZ0137SiNIzZlYMEUvE9FmJSZACnvPh25vyDS4sFouQ3u/u7obL5RKWfSQkJEStvSkfjBDTeQICi75YE8wf1WQyBW1YEgqPPvooAOCEE07weP2JJ57AJZdcAqlUiqqqKjz99NMYHR1FRkYGtmzZghdffDHs4tejDRKkRwnuKXrvheDDw8OoqKiAwWAI2PccmBJ50UoZSaVS2Gy2iIxlMplw6NAhSCQSwSR+YGAgaksCIhkhTUzQ4ITjijBhseL+595C9/gEyjJScO7ixREZnyeanZqcTidqamrQ19c3p8sLxBR9m+lcNp9Xik3nrBe+c4wxTE5OYnh4GEeOHIFZOQFDtg6KOCWS5hsC9swWK2L6jABxzifQj864uDif9qbuyz5kMpkgTiPZ3lTMlf9imxMAj4CPN7zt02yY7ppVqVTYvXv3rPZxtEKCVOTw6w/5daDeKfqWlha0tLSguLgY8+bN8/srmH/PXBvXz4S+vj5UV1cjKysLxcXFwk1BbP3m3WGM4XDLEXAcUJCfMuWRWlEOBXPBoIpDqm52NzB/RCtlz19Tcrk8pI5RoRBKZCaW0Zsvd1eg4t0abDx7HRaG0UIzEO4PMo7joNPpoNPpkJubi2XLluG4E8v+5386hO6POyPWJWiuEFOkTWwR0lAjkd7LPvj2pu5NGzQajSBQExISZhxNFKu9kljXkPLnK1BRk1gK1Y5FSJCKmGApeqvVisrKSpjN5pB6t0fbuH62os69invJkiU+HSqiWTQ127nXN/bhr099BA4cLjh3JSbHuhAfH48HvnMmvqytR7oq8r6v0fiBMTIygtHRUcTHx2Pt2rURS6fFyhg/FJxOF3Y9/F90N/ZibGgiIoI0GN42QhaLRTDn7+rqAmNMiJBFunlFJBBjRFJMgnSmazX9NW3g0/uNjY2wWq2CvVRCQgL0en3Ixy1WQSrmCGkgOyqTyTTroiYiMCRIRUqwFP3Q0BAqKiqQlJSElStXhlRoMhedlGYqkMxmMyoqKuB0OgNWcUerMxE/9mwetDa7Ew6H63/reKux5fjlwprL/AQ9zGZzBGc7RSRT9u4tZTUaDTIyMiK6tkvMKXupVIKF6wthtzpQvG5mFlGzIS4uDpmZmR5dgoaHh9Hf3y/4B6vVauh0OiQkJMyoqCxSiLEtptiKdSK1VlMulyM1NVXozONuL9XR0QEAHu1NVSpVwP2KOWUvxjWkwSK3kbR9InwhQSoypkvRHz58GG1tbVi4cCGys7NDvvlF27h+poKX7+OelpaGRYsWBbxBiTllv7g4HcdvSMf4+BhOP3UjUlK+XvQuhp7zweDXiw4NDWHNmjVoa2uL2lKAYMTS9ul7vzwLkyNGoZtTrObi3iUoLy8PDocDlZWVcLlcQpU2n95PSkqCTqeLiTgUmyAVE9GK2KrVaqjVamRlZfn94aJUKj3Wn7qvS+ZFspg+N0C8EdJgQtloNM56DSkRGBKkIiJYit5isQhekDNpNRlt4/pwRZ27uA6lj7tYBSlfgDUvMw4rTt3gY+kUzeKj2Z4Ps9ksFI+VlpYiLi4ObW1tkZmgG2L0GHWH4zjoEsX3kJHJZIiLi4NKpUJ+fj7MZrOQ3u/s7AQAIbWfmJgYETuxYIjxMzxWUvbh4P3DhW9vypvz19TUeNhLyeVyUZ0jHrGuIQ3UpQmIfKcmwhMSpCLB5ZpK+fprp8ZHEVNSUrB69eoZpe3mYg1pqOPzRutWqzVkcR3N+c9UkA4MDKCystKnAMudaEVIZyt0BwcHUVFRgYyMDA87qmiIRzGvIT2aUKlUyMrKEqJk4+PjGB4eRm9vLxoaGqBSqQRxOpsimOkQk7gRmyCNhb2S97pkq9UqpPdra2vhcDiEZTkJCQnQarWiOGdijZAGEsqMMZjNZlpDGkVIkMaYYCl6l8uFpqYmdHR0hBRFDIZY1pDyFlWJiYlhGa1HM0Lq3jwglBs1YwxNTU1ob2/HkiVLMDIOPPncAWzfuhhZmQk+845Fz/lAuDdPWLRokU/Lumic51BEuRgekEcTHMchPj4e8fHxyM/Ph8PhEERIU1MTLBaLUASTlJQUEREixh8MYhOkYpiPUqn0aG/a39+PhoYGjIyMoLW1FRKJxCO9H+3IeiDEKkiDpewpQhpdSJDGED5Ff/DgQeTk5CAxMVG4mfGFPg6HA6WlpbNetxLrCGmoFlXBxo9myh4IbZG9zWZDRUUFLBYLNmzYAJVKjZ/88imMjBrx5aF2/PkPF8zJvGcSeXU4HKiursbo6KhP8wT3cWMRIQXEI3hiLShmgkwmQ0pKClJSUgB4FsG0t7cLIoT/byYel2ItahLTfMQmsjiOg1KphFwux/Lly+FyuYTIek9Pj0dkna/yn6vCOZfLFdMivUBMV9REEdLoIb6r4RuCe4rebDbD4XAIN9aBgQFUVVVNW+gTDtEUdEDwCKnNZkNVVRUmJycDCqHpmAtBOp0gGh0dRXl5OeLj41FaWgqZTAan0wUJB3DwXzQglpS90WjEoUOHoFAoUFZWBoXCvxVVNP1Ng+1DbCn72c5l9z/24Z1/7MOJFx+PHZdvjdCsQse9CMZdhHR3d6O+vh5qtdqjx3o49xgxCUCxCVKxzQfwXNcqkUhgMBhgMBgwf/58j8i6e+EcHz11b3sbacQm3nkCrSHln9UkSKMHCdIY4HA4YLfbhRsFH710uVxobGxEZ2cnSkpKkJmZGbF9xsqHlBdxer3ebxep2Y4fCdwjpP5gjKGzsxMNDQ0+bTSlUgl+dcvp+PTzFmzbvNDv2LFO2fNrXbOzs1FUVBT0IRDLNaTHEm///T10H+7D24+/N2tBOttz4y1C3D0uGxoaYLPZhPR+YmJiwPS+mH4w8IhNAIrNhgoIvq7VO7JuNpt92pvykdPExESo1eqInW+xFjUF62MPgARpFCFBGgPcfeE4joNUKoXJZMJnn30Gl8uFsrKyiF/0c7GG1Ol0Cg8Id2/LSPRCj5UgdbdFWr16tV+z8gX5KViQnxJw7FjZPrk7GSxZsgQZGRkRGTdcQv3cYyl43KM1kXjgnnjR8dj9j/dx4oXHz2qcaJwTd49LvlCDr95va2uDVCr1SO97R9PFIgDFuIRArD3jQxV+KpUKKpVK8MXl294ODg6iubkZcrnco3FDoExLpOc1lwQSyiRIow8J0hggkUg8Lni73Y6WlhZkZ2ejuLg4KtWx0fYhdU97O51OVFdXY2RkBGvWrEFCQsI0756eaApq3qPPWzjyaW65XC7YIs1k7GiIiumErt1uR2VlJYxGY1g2YUdbhNRhd+CFu1/DkY5BnH/Lt5FZkBb2GE/d/hI+ff0rfPv6U7D9B1tmNA9vTrvyRJx25YkRGSuacBwnpPezs7M9Wlh2dnaitrYWWq1WSN+KCTEKUrFFbIGZCz/vtrdOp1O4Njo6OjyujYSEhLCXfohZkPo7DqPRCKlUOqP110RokCCNIS6XC/X19RgfH0daWhoWL14ctX1JpdKodTrixwemUvTV1dVQqVTYuHHjrH5BuxPtNbDe4/f396OqqiqopdNMxo0UwUTexMQEDh06BI1Gg9LS0rCWSRxtRU1tVZ346KVPYRw3I7s4E9/+vx14+2/vwWF34tQfbYVSHfzh4bA7cOC1LzHcN4qPX/1cEKShzMXpdKH3cB9Sc1OgiJs6x3ue/AD/fui/OO6c9bjgF2cCAMaHJvDGI+/AkKrHjh9tE+VDmMe7haXNZvNoYQkAVVVVQoRMo9HETICJVZCK7fONlPBzj5wD8Lg26uvrYbPZYDAYhAjqdI0bxNqpKVCxFd+lSUzXW6gE81YV0w8DEqQxgOM4GI1GVFRUAADS09Ojbr0hlUphsViiNj5/QX/11VfIz89HQUFBRL+4cyVI3a22li5divT09FmNG60IaaBx+/r6UFVVhby8PCxYsCDszyAaRVjR9CHNXJCOrKIMjPSNYnFpEQ7tqcKrD74Fl9MFQ5oeW767Mej7ZXIZTrvyRHz6+lc47YrwIprP/OpfeP/5/ShYkYdfvHwDOI7D3n9+hCOdQ3jvmY9w/s+/BalMivef+wRvP/4+4tRKFKzMx8L1C8I+zlihUCiQlpaGtLQ0WCwW7N+/H4mJiRgZGUFLSwtkMlnQ9H40EaMgFWPKPloi2f3a8F760d7eDo7jPOylVCqVx/vFuobU6XT6vY6NRuNRJ0iHhobw97//HXV1dVi0aBHOOeccFBR83SK5ra0Ne/bsweWXXx7DWX4NCdIYMDQ0hM8//1yIvjU2NkY1nQ5EN+XtdDpRW1sLALP2Sw3EXAhSq9WK+vp6WK3WiFht8eNGs8qeTxHyQrqzsxPLli1DWlr4qWtgbqrsA+13Jqj1Ktz2rxvgsDmgVCnQWtmBOK0SLqcLabn+1/UCgM1ixyPX/gOddT24+M7zsPOqk7Dv+f149cG3kL0hBUiaft/NFe0wjZnQWd8Nh80BuVKOU36wBbsenoqQSmVTEYns4kxoDRqodHFIzvZdg3y0wH9G8+bNQ05ODlwul9AhiE/h8h2CEhMTER8fH1XBIUZBKtaUfbTn5G/pB9/etK+vD42NjYiLi/OwlxJTZM6dQJFbs9nsI6rFzMTEBO655x48/vjjKC0txYEDB/Daa6/hz3/+M1asWAEA+PLLL/HLX/4Sl19+edAo6lxBgjQG6HQ6LFu2DKmpqQCin04HoreGdHJyEuXl5ZDL5ZBIJDOydAoFXthF64bPGENlZSWSkpLCMuyfjmhW2QNfe9m6e6PORkgfjUVNUqkEUtVURCN/WQ5+/fpP4bQ7keG2ntTpdOKJW16EUq3AhXecg+qP6vHxK5+DuRge+7+ncMPffoR/3vEy7BYbNn5/DTKvnr4A7MI7zsHepz/CqpOWQq6cStlvuWAjtlzgGZVdffIyzFuYCZU2TpQtSkPF+/Nx9zYFplK4fISspqYGTqcTBoNB2CZa0SUxCcBjOWUfDvyzwL1xA//jpbW1FdXV1eA4Dv39/ZBKpVH/8RIOwdaQHk0R0urqarzxxht44YUXcPLJJ2NwcBDXXnstLr74Yrz88ssoLCyE0WiMSI1HpCBBGgOUSqUgRgH8z88y+hHSSEfqent7UV1djZycHBQWFuL999+PantPIPIRCN4NwGazYd68eVi8eHFEx4+WDyk/x7GxMVRUVHh4o8523GivIXU6nUIh2Wz329cygIGOQZQcVyxEJFNzkn22e/hHf8fHL38GAJgYNuLECzdBqVLAarYhc0E64pP1UKoU4DhAm6TBp/8+CJfpIHZcvjWgiCxcPR+Fq+eHNE9/cwoFMUXcpotIKhQKjw5BRqMRw8PDGBoaEiq0+c5RfI/1aM4nFogxZS+GSKRMJkNycjKSk6e+B1arFZ999hnsdjtqamrgcDg87KViuTY50FICfg3p0UJPTw9UKhVOPvlk2O12JCcn4/nnn8fFF1+M8847D++//z6sVqtQpCUGWzcSpCIg2pZMkd4HX4zV09OD5cuXe0R6o5VW53+xRvLm6nA4UFNTg+HhYahUKqSmpkb8JhjNlD0wlXIpKChAfn5+ROYebUHa3d2N2tpaH3Eyk7mPDozh7gv+BOOoEd/+vx3YedVJAbedHJ4U/v/+f3+OQ3sqccWDF0KfpEfJccVQxMlxx2s/weSIEY1NjXj+5jfgsE71AD//52eEf9DHKKF+ThzHQavVQqvVIicnx6NCm4+Q6fV6IXo6EwN2MQpSMUZIxTgnpVIJjuNQUFAArVYr/HgZHh4W1ia720vNZWV7oJS90Wg8qiyfHA4H4uLiMDk5Ca1WC4fDAZlMhsceewwXXHABLrjgApSUlMBgMMR6qgIkSEXA0SRITSYTysvLAQBlZWUevxijaS3F31CdTmdE0unulk5lZWX46quvYuYXGi4ulwsNDQ0AELK/aKhEaw2py+VCXV0denp6sHTpUjDGhN7aNTU1UKvVsNvtGB8fn7Y6l8dmtsNmscFutcM4Zgq67c+euw6/O+dB2IxWDHQMwjhmwlDPKDafXyZsk5aXgrS8FPQMdUOhksNqsuKtv+yFWheH7sP9yC7KwI4fbYNUKq6H+1wxm+vCvUJ7wYIFsFqtggCpqqoSDNj5bVQq1bTXAP99FZsgFdN8AHFESP3BRyK9f7y4W491d3ejrq4OGo1GuD4MBkNUW44GStkfbX3sMzIywHEc/vOf/+D8888XNIBarcbf/vY3XHnllfjDH/6Aiy++ONZTFSBBKgLmQpBGQizyHX8yMzOxcOFCn5tcNCOk/E0+EuPzlk7unYuiGcmM5NpXq9WK8vJyOBwOAPBr1D8boiFI+eiYzWbDhg0bIJfL4XK5hPSdxWJBd3c3Ojs7UV5eLlTnThcdSc1NxpUPXoSew/04/rwNwY+LMdzwl8uRkGHAa398G2NHxrD1+8f53daQpsePHrkAj/zgaRjHTHjmN6/Abpkqmqo70AhOIsFFvz4XqbkzS8MfzURKbCmVSmRkZCAjI8PDgP3IkSNoamqCUqkUIugGgyFgel+M4o/mND2MsYBC2d16DIBHZ7GmpiZYLBaP6LpOp4uo4A5mjH80CdLly5fjyiuv9HhG8FojJSUFDz74IDo6OqJW9zETSJDGAO+bw1xFSGcquNytkIJF5KJZCc9x3KzHd69EX7JkiYelUzT9QoHIRE5GRkZQXl6OxMRElJSUYO/evTGxaAqH8fFxtLS0QCKRYP369X4L+OLi4pCSkoLe3l6UlZVhYmICQ0ND6OrqQl1dnWC+nZSU5FP8sHxLCZZvKQk6B/OEGb849V4M94zg+78+B2fdeOq0885YkIZTr9iGz988hN7DfbADcLkYKt6vhcPuRM7iLJz3s2/N6JyEi1jERLTWmPkzYOcLYFpaWmAymfwKEDFGI8WYHne5XLNerxtp+GsplKpu985iADzspTo7OwHAo3gulOh6MIK1Dj2aUvbx8fG46KKLAHg+f6RSKRhjyMnJwRdffCFsH82oc6jEfgaEqFP2FosFFRUVsNvt01ohRfs4ZiMarVYrKioqhCid93FEq/jIvRhrpjDG0NnZiYaGBhQWFiI3N1coCoqViX0o8EVvycnJsNlskMlkQcfmH+Z8de78+fP9Vm67p3ani1iMD03g5fvfRF/LAOw2Ow4fbMO272+adu6MMZx/8xk4/+Yz8MGLB/Dl7nKUnbEWL9//JiaGJ7FoQ2HY5+NYYC4EoFQqRVJSEpKSpry3LBaLjwBJSEiIiC1bpBFjNFKMKXv+XjuTealUKmRlZSErKwuMMcFeamBgQIiu8/eIhISEsL1xA6Xsj7aiJuDrz977mnTPOIrp2iBBGiPcH/xiFaSDg4OorKxESkoKFi9ePO2v2bnuphQq7pHFQJZO0S4+mmlXEqfTibq6OgwMDGD16tUe6RexClLGGBobG9HZ2Ynly5fD4XAIQiLYfv3hXbnNp3b5hw/vbcindr0/210Pv409T34ATiLB6u3LcfrVgQufArH5/FJsPr8UALDmlOWwWx1Q6+fGj1AMla88sZpLXFwcMjMzhf7qvAA5cuQIXC4XDhw4IPxASUhIiGmkR4wRUjHOaTaC1B2O46DX66HX65GXl+cRXW9vb0dNTQ10Op0gUOPj44Peh/nW1/7mJTaLpFCY7vyK7bogQSoC5moNabB1O+4wxtDc3IzW1lYsWrQI2dnZIe1DbBFSxhja29vR1NSEoqIi5OTkBBQ+sxGkrUMjsLtcKExODPhLdCYPc7PZ7FFA5t3NKxpR3dkKc94T1Ww2C5Honp6eiLQO9U7t8t6GQ0NDwtoyPnWXlJQ0VQiRFg+FSgFtvBpXPHgRDCnT92MPFuGSK+WC5+g3kVhH/9wFSFJSEg4dOoTCwkIMDw+jubkZZrNZ+Fso7SsjjRiXEYgtCgZAeE5E+lx5R9fdMyx1dXWw2+2Ij48XfsBotVqPOQRbSmA2m6PS9IX4GhKkIoAXctG8mYVqm2Sz2TwEhU6nC3kfcxEhDVXwOhwOVFdXY2RkBGvWrJn2l+1M5950ZAh/eH8/XIzhmuPWYXmWZ6tR9whpOAwNDaGiogKpqalYvHhxwMX/YoqgTU5O4uDBg9BoNELxEhC91qHe3oYmk0nwvWxra4NUKkX+8Zm4PPcCFJTkhyRG5wrGGJq+aoFap0J2cWaspxMSYhNbfOTP/RpwX1/Y0dEBAB4FctFu0SzWlL0Y5+QvlRxpvDMs/D1iZGQEbW1tQgEVf33wz8ljocqeh18uJbYfJf4gQRojvFP2wMzTuqHAjxvMNolPbSckJGDlypVhp76iafsEhF6YxXePUigUKCsrC8nDbqbizuJwwOZ0wulyweyn21a47gDuUd2FCxdi3rx5AbeNRsp+psKcd2DgmyR4m95PRyQeTN6tC/nUnSLVhLrWGnQPdQrR0+kqc6Mt9D974yAe//lzkMll+Pnz1yF3cWhZiFgiph8/gH+B7L2+cHx8HMPDw+jt7UVDQwNUKpVHej/S91uxpsfFOKe5blPJcRw0Gg00Gg3mzZsHl8vlc33wz4qhoSEkJiZ6PANNJpMo1y0HgvcdffDBB7Fp0yaUlZV5fIc5jsPbb7+NZcuWITNTHD+KSZCKAHexGK0vKf9r1J9gZIyhra0Nhw8fnja1HYxo2j4BoYmlvr4+VFVVCcIo1BvxTIXYkvRUXFG2Bg6XC2tz/KdzQhW7TqcT1dXVGB4extq1a6c1LI5Gyj5ckeu+vGPp0qUezgXhjhlJwePd1pL3veSr94HIRc5cLhdqPm6APkmH3JIpYTncO4Inf/ESlCoFLr3rOz5rTseHJmC3OMAYMDlinPG+5xoxRdqmi9hyHOfTvpK3D2psbITVahXSt0lJST7p25kg5mikmBDDnCQSCQwGg3CfdTgc6OvrQ2NjI1paWlBTU4PBwUF89tlnOPnkk2fdy/7uu+/Gq6++ivr6eqhUKpSVleHee+9FcXGxsA1jDL/+9a/x17/+FSMjI1i/fj0eeeQRlJQEdxLxBy+m//jHPyIrKwtlZWU+1+all16Kv/71r8jMzBTFZ0KCVATwF4HD4Qi7IjDc/XgLUrvdjqqqKoyPj4ckgsIdP5IEE40ulwuNjY3o6urCsmXLkJaW5ne7mYwdDI7jkKrVYMJqg2QW61NNJhO+OngQiv8Z9UczqhuMcASpw+EQrp1gyzvcx/RuGeq+TTQxjpjx+u/3ICHNgLNuOhUmswlDQ0NCZEStVgvCJNxz+uFLn+KZX70MmVKGX7x8I7KLMvD5f8pxaE8VpDIp1pyyHOt3rvJ4z+bvlMHlZFDHq7C4rCjo+GIROEdDhDQYMpkMKSkpSElJAfD1Eg++AMb9R8xMuwOJMUIqxjkFKhyKJTKZDPHx8ZDJZNiwYQMsFgs++eQTtLa24rLLLoPVaoXJZILRaMRJJ52EhQsXhnX9ffDBB7jmmmuwdu1aOBwO3HbbbTj55JNRW1sr2Endd999eOCBB/Dkk0+iqKgIv/vd73DSSSehoaEhrOVzALB7925oNBpIJBJ0dXWhuroawJQHsEqlgtlshkKhEOy0xHCfIUEqAjiOi4kX6djYGMrLy6HValFWVjZrMSyVSgXD9mgQSNjxZvG8NdVMvOJmKqY7R8Zw196PYLE7cHnpKhxfkOezzXQi78iRI3j1k09xcMKCDYUFWBfi5xDLKnuTyYSDBw9CqVSitLR02mtnriOk3rz/7Cf44IUDUKoUKDmuGCUbi6HX65Gfny8Ybw8NDaGurg5WqxVGo1EQKGq1OuDNenRgDHue/ACTY0ZoE7SwTFoAAItKC5EyLwnyODkKVub5vE+pUuCUH26J2vFGCzE8tHhmu6bVe4kHn77t7u5GfX298COF7w4USvZKbOtsAXFEI70R45wAzyxlXFwctm3bhm3btsHpdGLjxo1YunQp3nzzTdx8881ISkrCiSeeiOuuuw6rV6+eduy3337b499PPPEEUlNT8dVXX+H4448HYwwPPfQQbrvtNpx11lkAgKeeegppaWl47rnncMUVV4R1LI8//jja2trQ3d2NJ554Am+88YZwfSoUCrS0tGD+/PnIzc0FII7vNgnSGBErc3y+eIr3tYxkH/RY2D65WzqtXr16xpYvM01/8+tH7U4nrA7/n1+g88IYQ0tLC1paWjCh0qJvcAIHu/twttUKfQgp5Fil7AcHB1FRUYHMzEwUFxdP+2AJdQ1pNAVp/vIcaBM00MSrkTE/1eNv7sbbjDFUVlaCMYbBwUE0NzdDoVAI0VNvW6EDr32FzvpuyBQynHTRJkF85pZk4973b4dEwkEqm/kyHDFFJcU0FyCy4s89fTt//nyP7kD19fVCdTZfva/RaPzuW6wpezHOSYyCNNDaVolEgsnJSVx00UXYunWrED3ds2cPLBbLjPY1NjYG4Otue62trejr68PJJ58sbKNUKrF582bs378/bEF6xRVXwGq14rbbbsMZZ5yBtLQ0mEwmWK1WOJ1OnHvuuTjvvPOEgkAxQIJUJMyVILXZbKisrMTw8LCPr2Ukxo92yp4fPxxLp1DHnom4m5+UgGs3rceExYqyfP8FSP7Elnu6e/369cg2W+GSybEoLQW6EFOFc52yd19rvHjx4pAtUEKtso8mq05civvevx1KlQIqXeB1YBzHQSaTQaPRePgaDg0NCbZC7usOC1bmIiE9ASqNEtsuOt7jOOSKY+v2KrboXzTn4/0jxb16v7W1FVKp1CO9z2cIxJgeF6P4i0VRUygEW0rg3qnJPXo6ExhjuOmmm3DcccdhyZIlAKbqHwD4LDdLS0tDe3t72Pvg56bT6bBp0/TNQMTAsXXHPIqZC0HKGENdXR00Gk3I6xTDIdoRUn7JAW/pNDo6Out1rzyzWUO6Ktt/K9VAY09OTuLQoUOIi4sT0t16PbAoLSXsfc+VIHU6naipqcHQ0BDWrVsXVv/jcOYZTZFhSA2/Z7O3r6G7MGlvb0dnZR9WnL4Ix5+9HvqUo6cC91hgrgQyx3E+6f2xsTGhc1Rtba3Q3tZut4sukixGQSrGNaRA8MLiSHZquvbaa1FZWYmPP/7Y52/e1/RMr3Ped3zTpk2oqKhAe3s7pFIpNBqN4Oes0WhE5a1KgjRGzHXKvru7G0ajEampqVi5cmVUbuRzUdRksVhw4MABKJXKiKx7dR87Wg8Sd0Ha39+PqqoqzJs3D0VFRbP6HOZKkJrNZhw6dAgSiWTGP2S87Ub87ZffLtZRuGD7d7cVaq3qwJMPvwqbxQ7TuAmLts+HTqcTombx8fGifOjOFDF8Nu7ESvjx3pUJCQkoKCiAzWYT0vt2ux2VlZUe3paB0vtzBUVtQydQ5Jb3MI1EL/vrrrsOr7/+Oj788EOPpjO8Q0lfXx8yMr4OcgwMDIRdpAt8XZvyyiuv4De/+Q3GxsYwNjYGm80Gh8MBp9MJl8sFu90ummg1CVKRIJPJoiLm+NaT/f390Ov1SElJiar5fjQjpHx0Kj8/38frcrZEM7rLr/VsbGxEe3t7QHukcInGnL0F6fDwMMrLy4Ma9Ic7pj8hISahAwQXO1/ursDBdyqxZNNCSKRSSGUu5Bfk47jjjhOspaqrq+FyuZCQkCCsO5ypZYyYzo2Y5iIWgaxQKJCWloa0tDQMDg6iqKhI6BDU0tICuVzu4X0aTScVf4hR/IlxTkDgyK3ZbAZjbFaClDGG6667Dv/+97+xb98+5Ofne/w9Pz8f6enp2LNnD1auXAlgytT+gw8+wL333jujfbpcLvz4xz/Gtm3bcMUVVwhRfLvdDpvNBpvNJhoxCpAgFQ3RiJAajUaUl5dDKpWirKwM9fX1UTeuj8b4LpcLDQ0NGB4eRnJyMoqKgtvkzIRoC9LDhw/D6XSitLQ0YubK0Y6QdnR0oKGhAcXFxcjJyZnVmKES7aiX1eaAXCaFRDIzIeOwO/C3nzyDkb4xdDX04ufPXYuhnhGs3bECUpnUoyvM5OQkOpo7cf8Fj8E4asLpP9+G4tULkJSUFHLVtpgQWypaLILUHcYY1Go10tLSBPN1f73V5zKKTkVNoRMoZW8ymQBgVoL0mmuuwXPPPYfXXnsNOp1OWDMaHx8PlUoFjuNwww034K677kJhYSEKCwtx1113Qa1W44ILLpjRPk0mE/r6+vDHP/4xItHdaEOCVCREWsz19fWhuroa2dnZKCoqgkQiialP6EyxWCyoqKiAw+HwSG9EmmgJ0omJCUxOTkKr1aK0tFRopxkJoiVIXS4XqqurMTAwEJHCNzEUNQFAZU03Xnn9ELIyDLj0+6WQz6D6XSqTIrsoA1aTDbkl2ShcPR+FfhxfOI6DTqeDud+OI63DcNgcGD08CbaKoaGhATabLaSqbbGJQDEJG7EKUneh5d2gwb23ek1NDZxOJwwGg7BNMIuxmc5HrCl7Mf4gCzQvk8kEjuNmZYz/6KOPAgBOOOEEj9efeOIJXHLJJQCAn/3sZzCbzbj66qsFY/x33nknbA9SHplMhquuugq7d+8WrKTEDAnSGBGtNaR8NLG7uxtLly71WHsyF52UIil4+XRxcnIySkpK0NraKvxSjTTREKS9vb2orq6GUqlETk5ORMUoEJ058+mc8fFxlJaWzuoGzBOOIJ2pALPZHGjtGMK8rASoVf5Tok3NA+jqHoXV6sDoqBkpyf4j1Y0HWtBbfwRnX6tDaq6nJQrHcfjZM9eir2UA2Qunb7e3aH0hSsqKMT48iS3nb0J2UYZHT23vtC5vLeV9rTDG4HK6ZmUhNVvEJo7FKkiDzcm7t7rRaBSWeTQ3N097HYQLf38QmyAVc1GTv3nxfexnc72F8v3hOA533HEH7rjjjhnvxx2n04nJyUn83//9H0ZGRpCbmwudTgetVguVSgW9Xk+2T4QvkRCkZrMZ5eXlYIyhrKzMpyIw2oVTkRK87vZCxcXFmDdvnrBAO1qCOpLizr1r1IoVK9DW9v/Z++/4xtLy/B9/qxfLkiz33j32zHh682xfdtldls5SA4FAaAESAiQkhNB+QEIIfBLyI0AIvfew1GWXXba3Gffee5Xkol7P9w/vOStpZFu2JfsM+OI1r2XG8nMenfI817nu+77u8Yxs5ulWSFdXV+nq6gLg/PnzaVUwtlNlvxN850dPc7ltkob6Qt71lhuSbhznz1ThXPZSXppDXm7y8JXL6ebnn7oX76qf4GqYv/mfN1/xGZ1BK7UI3QpZViP/+P2/jvu3xJ7akUiE1dVVHA4HY2Nj9PT0YDabpXyvoD/IJ1/5n8wMzvPmf38tJ285mtKxMwE5EUA5EtLthMcVCgUmkwmTyURFRYVkMSZaSyWG981m87ZJnPg8yY38RaPRtL+gpwPRaDSpl7XH40m7er0XsNvt3HPPPeTl5fG+971PaiEuCAIul4sjR47Q1tYmmxSKA0IqE6hUKkKh0I5/f2lpic7OToqKimhsbExKJnZ7jK2QDoVU9OdcXV29wtJpLwqPdotAIEBHRwfBYFDqGjU5OSl7QjozM0Nvby/l5eVMTU2llYymaoy/GyyvePH4giyvbKygl5Xk8ObXX7PpOFqDliyrkXAwQl55bkrHfuLuy/zsP3/DxRef4UXvun3Dzw08PcK3PvQjao5X8vpPvBKVan0DiPW0hPU0FVE9dblcjHdP0f/0MAF3kKd/27ZvhPRAId0cuyV/iRZjgUBAug+6urqkIrnY8P5WkKtCKhcClIhIJJLURcTr9aYlWrTXKCkp4de//jUqlQqtVovf72dtbY1QKITf75e+k1yuxQEh3SckC9nvpONDNBpleHiYiYkJjhw5QknJxmHEnR4jVexWwXS5XLS3t6PX65NaOmWSkKbD9ml1dZW2tjasViunTp2S3rQzNe90kGgxxWN2dpaTJ0+i1+uZmppK0wzXsV0f0p3g1S87Q2P9FIcbi3dFUnQGLW/4z7tYm3Nzwwuv3fSzkUiU2aE5/u9zv2G0fRz7tIPnveU5aHTJlZ8Hvvsog5dGmRmc49Y3XE95Y3L/P71eT0lJCSUlJbS3t1NcVMLkbfNM9c+S3aDnqaeeimtpuZebidwIoJzmIz6L6ZqTTqejuLiY4uJiqUjO6XSytLTE0NAQOp1OykFO7CCWqTmlC3LNId0sZL/f9l07gUajkYz3x8bGyM/P58iRI/s8q41xQEhlgp2E0/1+P52dnQQCgZSqt/eitaeYRL/dB1fMt6ysrNzQ0inThHQnYz/923amB2ZpuL6aWfs0dXV1VFVVxc0/U20xd0uig8Eg7e3tkpprNBrxeDwZ9zbdzId0pyguslBctH3j+2TIshqxFeZsma/53Y//lPu/9QgmqxFLvplzd57akIwCnLntGG33dVF5uIzCqoINPxcLhUJBttnEe774dmA9x1fMOezt7ZWKYkRiki7j7mSQGwGU43wgM+RPLJLLzs6msrIyaQcxMc3DZrORnZ0trWkKhUJW5wnkm0O6EVH2+XxXpUIK0NnZyVe+8hUef/xxGhoa+Pa3v83s7Cz33XcfLS0t1NfX7/cUJRwQUplgu4TU4XDQ0dFBbm5unBqXzmNsF+KDHIlEUu4pH1uEdfz4cQoKNt6o5UZIFyeW+MLffJ21ZRcnOpp4+6f/Qgq37XbsVLAboutyuWhtbcVsNsfdP3vZ/SnxM7C5QhoKR5icclJSbMWgz1z+Waqb93jnJJ5VLxqdms89/QmMm7QkBThz+wlO3tKMUqXcMUHQaDSS56VYFONwOCTVTK/XS0UxVqs15ecwFRyE7DfHXuZrJob3Y9M8xAhHTk6ObFU9OYfskxFSj8dzVdgmiRCfjYmJCT784Q/jdDopLS1leHhY+vm9997L8PAwH/vYx2RzPQ4IqUyQKlkUBIHR0VFGR0dpbGykrKws5QVnL3rNAymTL7/fT3t7O5FIJGkRVrLx5URIL9/XiX3GQTQiMN22SJY++YIlt5D9/Pw8XV1d1NTUUFNTE3f/7Ebl3gzpCNn/6P9aeeLpcWqr8/jrt96Y0Y02lfm+5p9fxn3ffJATNx/dkoyK2G6V/GbziC2KqaysJBwOS0UxQ0ND+P3+OGspk8m063MmJ3IjN0K6n+Hx2DQPsWBFDO9Ho1Eef/xx6T5I94vKTiAXApSIzYzxryaFVHw2fv/73zM1NcWlS5f48Y9/zGc/+1kASktLKSkpYWhoSPq8HHBASPcJO7F9CgaDdHZ24vF4tt1PPNVj7Abig5zKMUSFNz8/n8OHD6eUT5RJH9Xtksbl5WUe/d0TCM/8invZw0TPNIfO1V3xWbmE7AVBYGhoiMnJyS3V6HQiXT6kDqcHl9uPw+khKgio9mjjj0SiDF8epaAyn5zCZ5+52hOV1J748z2ZQypQq9Xk5eVJNi6x1lLj4+NxxVM2m23bHYPksmmJkBshzWTIfjtQKBSYzWbMZjM5OTl0dnZSX1+P0+lkeHgYn8+HxWKJC+/v9ZzlmkO60byuRoUU1ltVi+vBwMBA3HfweDxXfH6/cUBIZQKVSkU4HN7w5ysrK7S3t2OxWLh48eKOLDMynUOqUCi2PIYgCIyNjTEyMrIjhTfTVfZbbXKCIDA5Ocng4CDnbjvNbPsSnlUPp249RuXR8qS/I4eQvdhj2+PxcOHChQ3zjcWXinRu9onjbDTuVt/nrheepKoil6aGIlQZVFcS5/fzz/2WX3z+Hiz5Zj55zwcwmq8OpcRoNGI0GikrKyMajUrWUpOTk/T29pKdnS2pZqlaCu032YqF3AipHPM1RYIV+6IitmB2Op1MTk4CxL2o6PX6PZnX1aSQpquP/V5BvAeLiopYXV3F6/Wi1WolJ4/BwUGGh4e55ppr4j6/3zggpPuI2A14I/VSEAQmJiYYGhqivr6eysrKHd88mVZItzpGKBSiu7ub1dXVHSm8mQ7Zw+abXCQSoaenB4fDwZkzZ8i5NYdzN53CZM3ClLO+WIUCIe752h8AeO4bbkCr12ZMIU01ZO92u2lra8NgMGzZLUr87uncMGLzQ7e6dzc7T8VFFl5we3Na5hR7vN/+7wOs2td40Ttvw5BtoO/hYfyuAJXvrEStUWOfceL3BlGvePG5/WklpPNji2RZjGTb0tNOdiMolUpycnLIyckBrrQUEgSBnJwciaAmIyVyUVFEyI2Qym0+kPw5NhgMlJaWUlpaSjQalcL7c3NzDAwMYDAYJHKak5OTESVTrkVNm7UOzWTBYLohntvnP//53HfffbzjHe9gZmaGUCjEfffdx6c//WlCoRAvf/nL4z6/3zggpDJBMiIXS+DOnDkjbSbpPEa6sRFpdLlctLW1YTQak1o67WbsdCA2/3WjHKLW1laEiEBLS4u0YRdVx4e9W+/r4uf/9RsEAfJKbVx4wWmUSmVG/F9TSWFYXFyks7OT8vJyGhoattwwd9sxaasxNzt+ujbzxUk7j/z4SY5ceyhpCkUsOh7o5av/+D2EqIBKreLYjYf5wYd+STQSJduQzZ1vu5W73nsn1nwzVc3l5Jbs7hmMxWM/e5qv/MN3ybJk8dFf/F1cOoCITJGcREshl8uFw+GQSInRaIyzllKpVLIjXHKcj1w2dhFbvVgqlUosFgsWi4Xq6mrC4TDLy8s4nU4GBwcJBAJxrU3TkYecyrz2C5u1Dt1p+879giAI5Ofn86EPfYgPfOADjIyMEAgEeOELX8iFCxf4zGc+Q2Njo6yeowNCKhMkksW1tTXa29t3ReC2OkYmkIwkzc7O0tPTQ1VVFXV1dTu++fdKIU2E3W6nvb2dp7/bzeKQE96t4dqXnU86TkFFHlnWdbU0/xlj9UwqpBuNG1v8dvToUYqLi1MeU/z9dM4zdkyxaCoZ0nHcr/7j92j/fTeWr5r53FMfR2e80uhahCU/G6VKSZQotiIrKpWSaCRCKBDmsf+7xB1veQ624hxe8f4X7npeiZjonca75iMSjmKfdiYlpHuB2JzD6upqQqEQy8vLOBwO+vv7CYVCUiFMJBKRzQYml3mI2E6Xpr3CdkmyWq0mPz+f/Px84Mo8ZKVSGRfeT2YinwrkmEMqCMKmRU17lXOfLigUCsLhMIcOHeInP/kJbrebqakpSkpK4qKTcrpnDwjpPiIxZC8+ELOzs/T39yetgt4NMp1DCvF5ntFolP7+fubm5jhx4oS0yO0Ue6WQiohtYVpRUskv+v/A7MgiX/z0LxiPwktfdBJjwotCdXMFH/zh3wLrCmkm571RyD6229X58+cxm83bGhMyE55NpbApHcc127JRa9QYzQZUms03vermCv7tgX/G7fRw+Jp1Bbm0sYiJzhlmRxZYWVxDp9fypfd8k4A3yJv//bXkldl2PUeA2954Iz6Xn/yKXGpPVqZlzHRAo9FQUFBAQUEBgiDg9XpxOBzMzs7i9Xp57LHHJMuhjQzZ9wpy2kzlRpBh9yQ5MQ95bW0Np9PJzMwMfX19ZGVlXaGkpzovuSmk4lq6kUJ6NeWQilCr1fh8PkZGRgiFQhgMBux2O6urq2g0GvLz8/fdcSEW8pnJnzjEm6Krqwun08mpU6eSelruBiJZzOTCKSqkfr+ftrY2BEGQTNfTMbYgCBlZzGJzJ2Gd1HV3d7OysiLlu97xppv51n/fi9Nk5Ls/u8SlqJ333XYtZdZ4ZUskorHzzgQhTVZl7/V6aW1tRavV7khZz6RCmq7PbYU3ferVnHv+SWqOVaDWbL3EVR6O70t//evO87svPMTpW46TU2jhibsv0/b7bqLhKE/9uo3nveU5aZmnrTiHN/7rq9MyVqagUCjIysoiKysLlUrF0tIS5eXlOJ3OOEN2Mfd0Lyu25RYilyvJSteclEolVqsVq9VKTU2NpKQ7nU5JSY+1GdvIAzVTa/hu8cdISGdmZvjMZz7Dk08+SSAQIBwOo1Ao0Ol0zM/P853vfIdrrrlGNi9TB4RUJvD5fNJ/L168mJFKx50Y1+/kGGtra/T29lJQUEBTU1PaQjPiOJkipCJx9Hg8tLW1XUHqbn/TzTw4vYqza4qoMsqc283E8uoVhDTZ2HsRsnc4HLS3t1NSUsKhQ4d2dI72ImS/GdJxXJ1Rx5nbju/49w9fX8/RGw9RV7eef9pwtpbi2kKCviBHr2vc9fyuVoiblqiO1tfXx1VsT0xMxIV0c3Nz05JqtNV85AK5zQcyS5KTKenivTA2NrahzZhI/ORGSMVUs42q7K+moiaxOOtf/uVf+N3vfsddd91FY2Oj1MM+HA6ztLREWdn6y7hc7tsDQioDiDmWAM3NzRmz3cg0IRUEgUAgwNjYGEeOHJFu9nRhu8b7OxnfbrczNDREWVkZDQ0NcYuT2xMgGAyTna2nsCaH88cbOFm6dW5mpm2fYp0Ympqadn3e002gEwlpJBIhFApd8aKSrkUxFAihUCpSUkc3HCMY5u7//z2EQxGe//Zb+Zd7/wkAlUpem+heI/EaJVZsr62t4XA4mJ6epq+vD5PJJClmFoslrSREbjmbclNsYe9U21glvby8XLIZEztH9fb2YjKZJIsxkCchVSqTd1Hzer1btuaWI37729/y4Q9/mNe97nX7PZWUcEBI9xHRaJSenh7m5+c5fvw4XV1dGfcJhdSM67eLUChEV1cXfr+fysrKtJNRyCwhFYndwMAAzc3NSYuAVEoFZrOBLLePNU2YQDiCIQXSs9OOSltBTI/o6urC4XBw9uxZrFbrrsfNJCFdW1vj8uXLBAIBKdSbm5srVbDu9rhjXZP855u/jM6o5e+//c4dV8X3PTTEzz9zL4IgYCu2cuOrLu5qXruBXEjXVtcmNqRbW1tLMBiUFLOenh4ikUictVQ6Ot/I5dyA/Agy7F8aQazNmHgvxFbvA3R3d0v3gtFo3Pdzt1mh1dXWqUm85rfeeiter3efZ5M6DgjpPqK7uxuXy8XFixcxGAwZr4JXKBQZMZePtXTKy8vbceXlVhBNp9M9f9E0PhKJbEhGAQwGLe988438971P8vjyLE9PznDX8cNYDJsr2tvtqJQqxFaRWVlZcVZUu0WmUgwWFxfp7++nqqqK/Px8VlZWcDgcTE1NoVAoiEQiOBwO9Hr9jkO9/U8MYZ91olarGGkf3xEhVSgUWIvM6IxahKgguSXsB+Tm/bkd0qDVaikqKqKoqAhBEHC73TgcDhYWFhgcHNy136XcQuRymw/IZ05arZbCwkIKCwvxeDw8+eST5ObmSrnIGo0m7l7IZKrHRtiowl5MR7iaFFLxmh8/fpyvfOUrGAwGTpw4gVarRa/Xo9fr0Wg0aa9T2S0OCOk+4tChQ6hUKukh2G/j+p1gZmaG3t5eqqurqa2tpaurK+PtSdNJSGPJtPigboZcm4mXXt+M0KniSFEBZv3W5DsTJHp5eZnR0VFUKhXnz59PqwqSKULa39/PsWPHyM3NJRQKSb23xVBvR0cH8/PzjI+PS12ERPU01U31/PNP0f/EMHqTnuZd5HuWHynhY7/4e6KCQEltYUq/43K6eeQnT1F9rILG85v7n16N2M09oVAoyM7OJjs7m6qqqg39LrcqiEmcjxzIlog/5ZD9diAIAiqVivLycsrLy4lEIlJ4f2Jigp6eHrKzsyWCmu5Uj42wkSk+rCukV1MOqfhs3HfffUxPT/M3f/M3VFVVYTQaUSqVaDQaPB4P99xzT1qiaunCASHdR+j1+jjytl8+oTtBNBqlr6+P+fn5OEunTLb3hPT2s5+fn6erq0vyR33kkUc2nfsfHhngwUeGuOHaej50240pHyfdCunU1BT9/f0UFhbi9XozUuCVrvmKFlSAdJ8kXj8x1KtWq2lqasJgMOB0OuPUU7FIZqse7LbiHP72K2/d9bwFQaCoZnu+gz/417t54LuPYLJm8W9/+GcseanbbV0tSBcBjPW7FAQBn8+Hw+HA6XQyOjoap5jZbLak3cXkRkgPQvapIXFOscVPQNJUD9GcPzc3F4PBkJHzvFnI/mrrZS+en1e96lW86EUvIhKJ4PV68fv9eL1eAoEAbrdbdmkIB4R0H5H4UF0tCqnP56O9vT2ppVM6CWMypIPwCoLA4OAgU1NTHDt2jMLCdQVsK+L40KNDDI4solDAjdceSvl46VJ1xZeAhYUFTp8+TSAQYGJiYtfjJiJdhFTsbiUW0G21oIvHje0iFFsoIxZHxKqnZrNZNiRAZ9SiUqvQ6NSyM/1OBzKVPqBQKCS/S7EgZmVlRTJjj73mYlGMeK/I5dqD/AgyyNOAfiuSnJjq4fF4cDqd2O12RkZGpJ7sYnh/s1bI28FWIfuriZCKuOuuu/Z7CtvCASGVEfaKkO6GHNntdjo6OigsLExq6aRSqTLSJlPEbsldMBiko6MDv9/PhQsX4vKCthr7xusOoVAouOHahm0dM7Ya/jf/ez99jw9yx18+h8MXUx8nEAjQ3t5OJBKhpaUFg8HA/Pz8nneAShXLy8u0tbVJ98m99967ozETC2XEHuxiJTcgKSeZthnaCq94/ws5dLaWssYSTDlX3+a1FfaKcMVaR9XV1REIBCT1dGpqCli/5j6fT1btHOWqRqaLsKUL2yHJCoUCk8mEyWSioqKCSCQivayMjY3R3d2N2WyW7hez2bzja7BRyD4QCBCNRq9KQgrw1FNP8cgjjzA3N4fJZOLUqVNcuHBh141qMoEDQiojyFkhjW1FuZm1UKYV0t0Q0rW1NVpbW7FYLLS0tFxhfbXV2NdfrOf6i/UALE05ePjHT1B9rIKTz2lOac6eVS+P/ORJ5kYXsBZaUiakq6urtLW1kZOTw9GjR6VFM9N2UjuFaPlz6NAhKioqrhhzI1KTynETe7An2gwl5p7u1It1J99fZ9By7s6T2/69qwn7oQDqdDop31i85mJId3R0lIWFBUk9tVqt+0YK5aiQynFOGymRqUClUknPNyC9oDqdTsmlJicnRyKo28n73KyPPWwd4ZEjfvvb3/K3f/u3Uo62x+PhM5/5DNdffz1f//rXycvL2+8pxuGAkO4j9iNkvxPCKFahu93uLVtR7kUO6U7GF4uvamtrqa6uTrpIb2fsuz//Wx743qPkltioPVGFOfdZ26L7h8aYXF7huY11lFrM0rhZFiOnbm2m93E9p289ltJxRI/auro6qqqq4ua9V4b7qSIajTIwMMDs7OwVncZS2RS3u3EqFAosFgsWi4Wamhop98zhcNDZ2blu2RSTe7od9we5VLfLiVDI4ZzEXvPV1VVJFXc6nfT29hIOhyVCksl8w2Q4KGpKDemcU+ILqtvtxul0sri4yNDQEDqdTnr+t2pzuxFRFgnp1VTUBOsFu+9///tpaWnhs5/9rFS8dPnyZd74xjfyD//wD/zv//7v/k4yAQeEVEZQqVSEw+GMH2M7hHRtbY22tjZMJhMXL17cMvyTyX7zOxk/Go3S39/P3NwcJ0+e3PSNcDtjZ1myUGs1mHNN6LOeJToOj4+7u/uZXXVh0Gh41anmuHy3u977gpRIRjQaZXBwkOnp6biisVjIiZCGQiE6Ojrw+XxJW8Umjpns++/2+yTmnonqqdh3WzRpF3NP5bZRXw2QCzmGdQKoVqslO6HEfMPh4eFtEZLd4qCoKTVkak6xTg6VlZVEIhHJySG2za2oniZGUDYK2Xu9XgwGg+zO41YQ0xqefPJJ9Ho9wWAQlUrF6dOn+dSnPsWb3vQmQF73yAEhlRHklkMqhkFramqoqalJabHN9HfYjsIr5l2Gw+GkJCkRqdozRaNR+p4cQohGKaopQKt/Nm/RYtBRnZuDRqWiNs8mzTl23K3Oo5jnGggEaGlp2TBUlEnD/e2M6/F4aG1txWg0Jk2FgNTJZroI9mbqaVdXF4IgSCbtubm5GfPO/WOCHBTSWCTOJ1m+oUhIhoeH8fv9WCwWST01mUxpJZByUrNFyIlsiNirQiuVSkVeXp4kQvj9fim8L+Yix4b3NwvZ76XSni6EQiF0Oh2dnZ2cO3cuLr9+fn5+X/PtN8IBIZURMl0QJB5jK0IXiUSkau6tVMVEZFohTZVQr6ys0NbWhs1mi8u73Ayp2jMJUYGgLwhAOBh/LjUqFe+87jyBUJgs3foDvx3lz+Vy0draSnZ2NhcuXNhU0cmU4f525mu322lvb6e8vJyGhoZNF+2txszkgp+onrpcLhwOB7OzswwMDJCVlSUpaQfYGHLalLcigImEJNZaamJiYsNe67uZjxzJ38Gc1qHX6+NykV0uF06nU2rUoFQqMRqN2O12yYYO1l+4r7ZwPUB+fj7Pe97zePOb38y//uu/kp+fT1ZWFl1dXfz7v/87r3zlK/d7ilfggJDuI+SYQ+rz+Whra0OhUEgdpNI5/m6RCuEVfTrr6+uprKxMeRPdaOzH777Er/7nPi48/zTPf9utqNQq/upzf0H/k0NJc0HVSiVq3bObW6okXfRFFZsMbDXvTIbst4IgCExMTDA0NMSRI0coKSnZ9ZjiuNtF14N9uJY9nH/BqZR6zSsUCsxmM2azmerqakKhkKSednd3Ew6H0el0zM7OYrPZ0tYB62qH3BTA7RJAg8FAWVkZZWVlcb3WJycnk1pLbZc0yTFkL7drBrsrakoXYtcAsVFDZ2cn0WiUoaEh/H4/3/zmNykuLqasrCylRg2b4aGHHuLTn/40ly9fZm5ujp/97Ge8+MUvln7+hje8gW984xtxv3P+/HmeeOKJHR/TYrHwT//0T7z73e/mrW99K0VFRbjdbmZnZ3nJS17CRz/6UYB9vxaxOCCkMsJ+V9kvLS3R2dlJUVERTU1NO7pR97OoSVR2FxcXOX369LbVro3GfuB7jzLcOoZr2YP7dCFhhcCLm5u49dDmJEzEVqF1QRAYHh5mfHw8zhd1t+PuFFuNG41G6enpwW63c/bs2ZQ6faRCnney4A88NcwnXvmfCNEob/yXV3Pbm27a9hgajSYuD7Gvrw+Px8Pc3BwDAwMYjUYptL9XXWPkCDmG7HdKEpL1WhfV09iUDjG8n8pLyYFCmhrkOCe1Wo1Go8FqtVJeXo7P56O7u5t7772Xr371q4TDYV71qlfx3Oc+l1tvvZXy8vJtje/xeDh+/Dh/8Rd/wcte9rKkn7n99tv52te+Jv09HSH1hoYGfv3rX/P0008zPj6OQqHg5MmT1NbW7nrsTOCAkMoIe0VIg8Fg3L8JgsDIyAhjY2McPnyY0tLSHY+/XwqpaNYPcPHixR2pWhuNff1dF1hdWqP8+np+PThMKBKh3GrhhrqqlMeF5Buo+Gbudru5cOHCtnwV9yNkHwgEaGtrIxqN0tLSkvJ5TpWQbvf7rKdMCAgChEOpFwSGgmG+/k/fZ25kkdd//BVUHi6T5qDT6VAqlTQ2Nsapp2LXmNjc071QT+WkcMlpLum897VabVy1thjOnZ+fZ3BwEIPBEGctlSwF6ICQpgY5mvVDvHJrMBh417vexbve9S6+9a1v8aUvfYmmpia+8pWv8Ja3vIWGhgZe8pKX8IlPfCKlse+44w7uuOOOTT+j0+koKira9fdIhNfrxWw2c+zYMSk1Sa44IKT7iMTFXa1W77lCGgwG6erqwuPxbGnplOr4e62QOp1O2tvbKSgo4PDhwztegDcipNe+7DzXvuw8iy4PMw8+TigSoSLHsq1x4cqFWCwG0uv1tLS0bNvAeq+r7EUfV6vVSnNz87Y3lUwUNR2+poF3f/ktuJwebnz1xU3H/f23HmZ6YI7nvfU5rC6t8dj/XcLn8vPwj56k8sPJfXUT1VO3243D4ZCIiqieZsoDU06qpJzmApkLRycL54rFMP39/YRCobhWlkajUYoqyI1oyZWQym1OsLkxfmFhIR/+8If58Ic/zMrKCg888ACzs7NpPf4f/vAHCgoKsFqt3HDDDXziE5+goGB77YsT8fDDD/PFL36R3t5eBEFApVJx7tw53vnOd3LkyJE0zTx9OCCkMsJe55Curq7S3t6OyWTaESHaaPy96mUfm8fY2Ni47TBKIhQKxabnvyA7iw/fdiNRQcCoTf1ciZtm7Ia+tLRER0dHSsVAm427V8b4Yn7rdhwXthpzJ59J9jsXXnB6y8/NjSzw/X/5OZ4VDwCv/IcXUnWkjKUpB8dvOpzSPGJtZaqqqgiFQiwvL+NwOOjt7Y1TT202m+z6RKcDclNI92I+arWagoICCgoKpDaSomo+OjqKRqMhNzdXUqLkBDmSv0gkklH7rZ1isyr72KImq9XKS17ykrQe+4477uDlL385lZWVjI2N8c///M/cfPPNXL58edsOIOJz8fTTT/M3f/M3KBQK3vKWt5CTk8Ps7Cxf/vKXefDBB/nBD35Ac/PmTV32GvK7K/7EELv57aXt004snVIdfy9snyKRCN3d3TidzpTzGFMZOxnBEwSBcDiKRqNCr9n+IxOrkAqCwNjYGCMjIykVA201bqYV0th0ju3ktyYbcz9hyTeTU7iuapcdKsaQbeCff/oeopEo6h1cU1hXT2OJiqieilW7Ypg3Nzd3XzsIpQtyK5DZj/koFAqysrLIysqivLw8rpWly+ViZWWF1dVVST3Nzs7e13N2kEaQOjYqtvL5fBmvso+teD969ChnzpyhsrKSX/3qV7z0pS/d1lgisf7lL3+JWq3mwQcfjHs5ftOb3sSdd97JN7/5TT796U9vqAzvBw4IqYywF4RUoVDgcrlYW1vbtqVTKhBJXaY2C6VSidfr5YknnkCtVnPx4sW0eUgmI6SCIPCDn16io3ua5z33KNe11BMMR1CrlChT/H7ieQiFQvT29rKyssK5c+ewWFIP+282brrPtUhIw+EwXV1drK2tbTu/daMxd/uZnSLLYuQjP38fq0trFNeuk2qlUpm2jTFRPRXDvA6Hg76+PkKhUFzu6dWqnioUCgaeGmbo8hg3vuoippz9a6coB4Ic28oyEAhgMBgwGAw4HA6mpqZQKBRx1lJ77Xcrx8p/ORPSjRTSvW4bWlxcTGVlJUNDQzseIxqN0tjYeMVaY7FYqKiokF0KDhwQUlkh04TU6/UyPDxMOBzmuuuuy8imKD7Qmcqn8vv9LC4uUlFRwaFDh9K6sCVTHEPhCO1d00zNLNPWOUV2hYmvPtlGmcXMu29oQave+juKG0JraytarZaWlpa0bEyZJKTBYJAnn3wStVpNS0vLris+M1Vlvx1kWYxkWfbGTzAxzOvxeHA4HFJLw1SKZETIhVAIgoDL4eZfX/AFwsEww61jvPvLb9nX+cjl3MD6fLRareR1GY1GWVtbw+l0ShEpk8kkqad74dggR/Inx1xb2HheHo9nzwmp+EJTXFy87d8Vr/dtt93GF77wBb7zne/wohe9CIVCgUaj4f777ycajXLdddele9q7xgEh3WckC9lnYqEVLZ1ycnIAMqbQbFTAs1sIgsDo6Cizs7NkZ2fT1NSUtrFFJFNItRo1d9x6hPbOKZ5zfSPt80uM2pdxB4Isuj2UWbfOGXM6nQCYzWaam5vTtkHEnut0bjqhUIjR0VFKSkp2bP+VDHvZqWk3SLdSG9tBqLKyknA4LOWeikUysbmncjbhVqqUKJQK6f/vJ+RGSBPVSKVSidVqxWq1xnULczqdcY4NIkHNxJosx5C9HHxIk2GzkP1uG2a43W6Gh4elv4+NjdHe3i4p5x/5yEd42cteRnFxMePj43zgAx8gLy9vR7mq4t7b09PD9773Pb73ve9x2223UV5ejtPp5Be/+AU33HADi4uLfO1rX0MQBG6++Waqqqp29R3TgQNCKiNkQl2M9bg8cuQIBoOBjo6OtIydDOK8I5FIWoqkgLjQcVVVFW63Oy3jJiIZIZ3qn8G45uHtf3EdWr2W7OUs5tdcVORYKLFsHsIWBIHJyUkGBwdRKBTU1tamdSFOViy1W0xPT7OyskJhYSGHDx9O24afyjiZDNnLCWq1mvz8fPLz8+P6ry8tLTE0NIRer5fCwJksENwuBEHAlJPFx3/9fkbaJ7jurvP7Ph85EdKtyF9itzC3243T6ZRUc/G622w2cnJydr0HCIIgS0IqR9VWEIRNi5p2q5BeunSJm2561iP5Pe95DwCvf/3r+cIXvkBXVxff/OY3WVlZobi4mJtuuokf/OAHO0qTirUZvOuuu9BoNMzOztLa2kowGKShoYHe3l7+7u/+Dlh3T/n2t799QEgPEI9YMpcOQhoMBuns7MTr9Uo5gGtraxlNC1AoFGmt/na73bS1tUnWSIuLi6ytraVl7EQkEtJVu4vP/dX/srq4xp1vu5UXvfN2KnIsvPema7YcKxKJ0Nvbi91u58yZM7S2tqadXMQuPLtFNBplYGCA2dlZcnJysFqtGclL3eozmyESjvDvr/8CA0+P8Lb/9+ecu/Ok9LOAL8h/v/NrzI0u8peffg0NZ+Rp/JyIxP7ronrqdDoZGBjA7/czPj5OIBCQLIb2CyIBrD1VTd2p6n2bR+J85ILt5GvG5hyLqvnKygoOh4PBwUECgUCctdROOgWJ643cyJ8cCal4rpLtu+koarrxxhs3Xf/uueeeXY0fC3Gtfdvb3sbb3va2tI27FzggpDKC+JCmgzCurq7S1taG2WyOs3SSQ3vSVLGwsEBXV1ecNVImbaUSxxaiUYSoIL09i4hEopu2qPT7/bS1tQFI5vGZqIgXN6jdno9QKERHRwc+n4+WlhaGhoYyMtedhOxnZlfo7Jnh6OESFB4/rfd1EQqEuP87j8QR0sneGbof6ce75uPpX7dfNYQ0EYnq6ZNPPonJZMJutzM8PJx2FW27kBMBlBsh3c181Go1eXl5UpFprLXU+Pi4VDwlhnhTiT6J64KczhHIk5CK+1Wyee1HDuluEXvNZ2ZmcLlcqNVqtFotWq0WtVqNxWJJWxQzXTggpPuM2BtHoVDsmjAKgsD09DT9/f3U1tZSXV0ddwzR9imTi/luzfEFQWBoaIiJiQmam5vjuldkshNUIiG15Ju54y+fg8vp5va/vBmAuz//W/7w/ce45XXX87y33HLFGCsrK7S1tZGXl8fhw4clwpAJz9B0hOxFc36j0UhLSwtqtTojofOdKqTf/fHT9A0u0NEzw9+98zmcveMEg0+PcMufxyfkVx4p49iNh5kfXeTcnad2PVc5QFwP8vLyKCgouEJFCwaDWK3WuNzTTM5dbukUciSk6SJaRqMRo9FIWVkZ0WhUspaamJigp6cHs9ksqadmsznpeZCrQionmyERm52rRB/SqwULCwt88Ytf5PLlywSDQVQqFWq1GoPBwOrqKp///OepqanZ72nG4YCQygy7IaRimHhpaYlTp04lbRGWqaKjxGPs9DuIap3X66WlpQWTyRT380x2gkokjZfu6eBn//lrNDo1J55zlKoj5Tz280vMjizw2N2XriCkYiVtfX09lZWVVxQ47JWJfaqw2+20t7dfYc6/X4QUriQ9OdYsTFlacixGVGoV7/v625P+nlav4W++9Oa0zDXZPPYT4nWJVdESDdpHRkbQarVS7mmm1FO5EUA5zSdTFktKpVJSRmG9c5B43aenpwGkn+fm5koOHgcKaeoQSXKyc+Xz+a4qhVQ8vx//+Mf5xS9+wfXXX09paSmBQACfz0coFMLlcslOHYUDQio7qFQqwuHUe3KL8Hq9tLe3o1AoNu3lnu481Y2OsRPy5XK5aG1t3bRz1F6G7APeIOFQBIVSQdAXBODOt9zCQz96nJtefa30uWg0Sn9/P3Nzcxu+CGSqYGcn5yO2w1Uyc/79Ki5KdtzXvvIs3b2llBRb93w+ckYyg3Yx93RoaAi/3y+pp7HtLXcDOZF0EXIiW3tVQKTT6SguLqa4uBhBECRrqdnZWQYGBjAajdhsNkwmk5TTLyfIlZAmm5P44pcojFwN+NGPfsTnP/95Xvayl+33VFLGASGVGXaikC4uLtLZ2UlJSQmNjY2bPuzpzFPd7BjbJUlzc3N0d3dTXV1NbW3thovoXhLSCy84hVKpwJCtp/70emjjursucN1dF6TPBINB2traCIfDtLS0bBjakYtCGo1G6enpwW63b9jhKlP5rjsJ2c8vrPGTu9tBAW99w7VUVVxJ9v+Ykep1EEP7sTmIDodDam8pqqdi7ulOWzfKhdyIFeRymQ/sX+coi8WCxWKhuro6rp3t8PAwgiDQ0dERZy213+dMjoR0s4jh1RayF6/v2bNncblc+zyb7eGAkO4zEheH7RDSREunVNpQpiNPdStsZ/xoNMrg4CDT09McP36cgoKCTT+faUIaSwBcniBeazaFleskaHpojq+8/ztkWYy87bOvJ6qK0NraitVq5fTp05tu8nvZd34jBAIB2traiEajUrHVRpBLyN7ucONy+wEFzmXvnxwh3SnEHMTY9pYiSYlVT202W8oV3HIigOJ9Ipf5gDy6IsW2s11dXaWjo4OcnBzsdntcWsduX0x2CvFFQm45pJtFDPejU9NuIN6D//mf/8lHP/pRsrKyqKmpQa/XS3/E+0RuOCCkMkOqZC4YDEqV0dtt65jJwqDtjB8MBmlvbycYDNLS0pLSQ7+XCukv7+nkDw8PUlhgxtaSx+AvO/C0jWHM0vPU7y8TsQSSFo5tNPZ+huzX1tYk8tzc3LxlZ6BMFGDtpHXo8aNlvPB5x1CgoPnI+guXy+nGaDFu6nSQ6bleTYhtbwnxFdyjo6NoNJq43NONSIqczokcCancPD9F4ldRUUFFRUXci8nIyAg+nw+LxSKpp2KIP5PYrJp9P7GZWf9e9LLPBLxeL4899hg//OEPOXz4MDqdDqVSKXGMBx54QHZ5pAeEVGZIhZCKlk4Wi4WLFy9u+y03k4VBqY4vfger1cqpU6dS/g57WWW/OjxPZHSeaF4W/Yt27KV6yo6WUGQx4NO6OXfiLPn5+SmNvZ8K6fz8PF1dXdTU1FBTU5MSeU73Od5pyF6jUfHcm57tyvXz//otP/zU3dSdquZDP3svKpWSrgf76Hl0gOtfcYGSuqIrxjhAPGIruEWS4nQ640iKSFAT1VM5EUCQ13zkoJDGIjE0nvhi4vP5pBeTiYkJqXhKVFB32y54ozmB/AjpRiH7UChEKBS6KnNIX/va11JWVsa73vUu1Go1gUBA+uP3+2VHRuGAkO47thOyFwSBqakpBgYGqKuro6qqakcLYKZD9lupdmI1+k6+g0qlylj+WOy850YXGPrlJSKLqxy/uYnooQpmCnM52nKIbAROnTq1oaIbDEfonJ2nINtERY5FGjsTCtNmRE8QBEZGRhgbG+PYsWMUFhamPGYmkI7Woa2/68LvCTDcOoZnxYPOoOVL7/kWzvllpgfmeN83klfhHyA5YklKfX09Pp9Pyj0dGxtDo9FIJCXT/sXbwYFCujW2mo/BYKC0tJTS0lKi0Sirq6s4nU6mpqbo7e0lOzs7zloqHd9NroR0o5C92BXwagrZw/rLRmdnJ7Ozs3G2iXLHASGVGdRqddKFPxKJSMUoG1Vyp4r9yiGNRqP09fUxPz+/4++QSdsqkTQKgoDBpMeQbcAcjlBUauPMoRra2trIMho5fvx4UkV30eVh1LnM3KqLX/YOkpdl5B9vuQ6rQZ/RoqZk48a2W91uSkcmPVN3+5m7/u75CILAqVubMedmE4lEsZVY8bn9FFTlpWOqsiI5sLfzMRgMlJWVSerp6uqqFNr3er34fD4ikciehXg3glwJqZzms53iIaVSSU5ODjk5OdTW1hIMBiX1tKuri2g0KllL2Ww2DAbDruYkp/MEm/exh6uPkCoUCt7whjfQ1tbGHXfcsd/TSRkHhFRmSEbmvF4vbW1tqFSqTS2dUsVe5JAmEhq/3097ezvRaJSLFy/ueEHLJCGNNZq3Flh431ffxvLCKtmlRp544gmqqqqoq6tLupiGo1G+8NjTjNqdFGVfGd7JVMg+mfLq8/lobW1FrVbT0tKy7dDbXviQin9PPJdbHbf5+iaar382hK9SKXn/t97J7Mg81ccq0jrnP3WoVCqJgNTX19Pa2opWq2VtbY2JiYk4dTUnJ2dPQ4ByJKRyDNnvdD5arZaioiKKiooQBAG3243D4WBhYYHBwUEMBoOknlqt1pTXYjlW2MPG+4nX60Wn08muCGsriOf5ve99L6urqxQUFGAymcjKykKn05GdnZ1yxGwvcUBIZQaVSkUoFJL+Llo6lZaWcujQobQ8zJnOIU0kvMvLy7S3t5Obm8uRI0d29XDHEtJ0I3Zs59wKP/vcb4ioQlRdX8KJk8dTDn3U5tl4eVkxBdkmrAa9NPZehOyXl5dpa2ujsLCQpqamHd0ve0FIk5HRnR43y2qUbLnSBbkU8MhlHrC+buTk5EghXjH3dGxsTOoeJBLUTKunciOkYmRFTmQrXeRPoVCQnZ1NdnY2VVVVhMNhyVpqYGCAYDAo5R1v5dqwWfHQfmKjkL3X65WFVdZ2sbq6yuOPPw7AO97xDqnWQaFQ4Pf7qa2t5b777pPdC8IBId1nJMsh9fv9ce0zjx49SnFxcdqOuVche0EQmJycZHBwkEOHDlFeXr7rBztd/duTIZaQPnb30zzw/UfQGNScv/3MlmRUrVTy9otnGXUuc7SoAJMuXpXMZFGTOK6Ym9vQ0EBFRcWOz3WmqszFMUWFTbQeEhXcq23R/1ND7D0R2z2orq4Ov98v5Z6K6mlsgUy61VM5ElKQz3wgc2qkWq0mPz+f/Pz8uI5hTqdTcm0Qr32ici43AiRiI6Ls8Xiuygr7nJwc/uu//kv6TmIhk8/nw+VySf7TcrsWB4RUZhAV0kuXLuH3+5O2z9wt9iJkHwgE6OrqwuFwcObMGXJyctIytkKhyNj8xYfT7XbjU7mxFGZTWF5I7dGqlH6/IDuLguzkuUaZtn3q6+tjdnZ21/nFkFmFVKz4z8vLkwi0qKwFg0HZLZAHeBab5Ujq9forCmQcDgfj4+P09vbG9V7Pzs5OS9coOZE/ORLSvVBsk3UME699rHIeWxgnx2c8Go0mTW26Wi2f9Ho9N998s/T3THZmTCcOCKnMEAgEcDgc5Ofn09LSkhHj4kwrpNFolMXFRakF6G5zXhORqZQDcTNpbW3l+PVHeP6r7kCr06DR7V7dyVRRkyAIjI6OIgjCpp2itoNMKaSigtLc3IzVakWhUBAKhSRlzW63S/+WKWUtFciJVFyNiC2QEdVTsUBmcnIyLeqpXAmpnMjWfqiRsXnHgHTtxep98brNzc1hs9nQ6XR7Or+NsBFRFrs0yeleSxWrq6v8+Mc/5tFHH8Xv95OTk8M111zD8573vKQd+uSAA0K6z4gtpJmammJ8fBy9Xs+JEycy9hBkModU3HS0Wi3nzp3LyIKYCXInCALj4+MAkl/ndn63Y3YeTzDEuYpSNEneRDciecFgGLVahVK5/Wvt8XhwuVxkZWVx4cKFtL28pJuQil6XoVCI8+fPYzKZCAaDwHrxhNiXe3BwkEAggFarlZS1zTwxU4XL6WakbZxD5+swmFJ7OZJT7qZcNsOdkkC9Xk9JSQklJSVx9kITExOSvZB4jVNVT+VGSMX1SG5z2u/5JF778fFx5ubmmJmZoa+vD5PJJL2cWCyWfSP0GymIHo/nqquwh3Uy+olPfIKvfe1rNDc3YzabGR0d5dvf/jYveMEL+PKXv7zjwuJM4oCQygCipZPD4aCuro6FhYWMLiSZUEhFQjc8PExhYWFGw6/pJqSRSITu7m6Wl5elnuDbwahjmS8/fhlfKEw0KnBdbeUVn0k25+7eGb7zo6coKjTztr+4AZ0u9cfRbrfT3t6OTqejvLw8rUp6Ogmp2K40EolQWlqK2WwmGo0SiUSk9AvxPlEoFOh0Ourq6q7ISxQ9MVPpKBQLQRD499d/gYneaU7d2sxff/Ev0/K9/lSx23Up0V5IjAg5HA6mpqZQKBQpmbPLjZDKMWQvt3xNpVKJXq/HaDRy8uRJQqGQpJz39PQQiUTIycmRFNa9DJVvVmUvR+K2EcRr/sADD/DTn/6U//7v/+blL3+59PMHHniAd7zjHXzuc5/j/e9/v+zukQNCus8IhUI88cQTkkWP2+1mdnY2o8dUKpWSQpUOhMNhuru7WVlZ4dy5c7jdbqanp9M2fiLSSUh9Pp9kqdXS0sJjjz227bF1ahVqpRKtSoVuA5KUrKhpYHiBqZllvL4gdqeb0mLrlscSBIGJiQmGhoY4fPgw8/Pz25prKkgXIXW5XFy+fJmcnByysrKkpgbieYhGo5saZSfmJSbrx56Xl0dubu6Gm5cgCKw53YQCIVbtrl1/p72GnJTaTMxFp9PFKWhra2tSlKWvr09ST202G2azOS6iJDfyBweEdCvEzkmj0VBYWEhhYSGCIODxeHA4HCwtLTE0NIRer4+zlspE+pqIzUL2V5NCKj6jAwMD1NTU8PKXv5xwOEwoFEKtVnPTTTdx++2309raCsjvHjkgpPsMjUZDbW0tBQUFKJVKyXg6k0inQurxeGhra0Or1XLx4kW0Wi0+ny/jtlLpGN/pdNLe3h5nkbSTavgyq4X33nQN3mCIQwXJC4qUSmWcnRfAhbM1LC65KCmyUFRg3vI40WhUao5w9uxZrFYri4uL+9J3fissLi7S0dFBdXU1tbW19Pb2IggCkUhEKiAQ/y7+1+fzodFoCIfDKBQKSUGF+Kru+vp6vF6vpKyNjIyg0+kk9TTWF1GpVPKu/34jnX/o5fzzT6X8/Q+QHJk8N0qlEqvVitVqldRTUUFLVE81Go2srpNIkOU2JzmRDdhYiVQoFJhMJkwmE5WVlYTDYekFdGhoCL/fH2ctlW5bsY3mdbUWNZlMJhYXFxkeHqaurk4i8263m/Hx8bS69qQTB4RUBiguLpYIQKYLjsRjpIPEiB6pZWVlNDQ0xJEHORPSWDuqxsZGysvL48aOJWMrPj9dswvU59soMm/c7cgQUWLSbuxXl2zOpcVW3v6mG1Kasxj6jkajcYVie+EZuh3Epm6IdmXiWC6X64oiAfFeHBwcxOVy0dzcHKeixhLT2M1V7Mfe9ZtBHv/509zypusQbAL9/f2EQiFycnLIy8vDZrNRc7ySmuNXplFs9T0OEI+9Pic6nU7KL45VT6empnC5XCgUCkZHR6XWlvtJBq8m8refSLXKXq1Wk5eXJ6VPxVpLjY+Pp91WbDMf0qtJIRW/w+23385Pf/pT3vSmN/GOd7yDvLw81Go1X//61xkeHubtb19vsSy3e/aAkMoMKpWKcDic8WPshvTG9khP5pG6F7ZSOx0/Go3S29vL4uJiUjuqROL4ncudPDo6SV2+jY/cfhPKJJve2ISdH/z0Emq1kte98gKFSdTO3ZC8tbU1WltbsVqtNDc3xy2cciKk4rldWlri3LlzWCwWiVzm5+czNjbG448/jtFoJDc3l/z8/HVS+UxrwvPnz6PT6YhGo3FqamJoXySpQV+Ib334RwS8QfyeIJ/+w4doaGiQQn9iVxnxePtdOPHHgP0ifYnq6dLSEn19fXi9Xik9SCQosd62ewU5FBAlIhqN7otLxWbYaYhYfAEtKyuLsxWbmJi4wloqOzt728fYLGR/NeWQwnoKXW1tLZ/85Cf56Ec/yj/8wz+g0+lYXl4mJyeHT3ziE9x6663AASE9QBLEEoDYPLtMFgXtlNCFQiG6urpwuVwb9kjPdCeonY6f2L40mR1VIiFVKxWolEo0yo2VhjWXH5c7gEajxOX2JyWkO1V1Rd9OsfI/le5GAV8QpVKxY7uqnRDSYDAoFS+JCm4sqczJySE3N5dwOIzD4aBvYJKvfPtpsgxKrrtQQn19rTSWeN+LxFssghKJqkRONQoaztYy8OQwJ55zRJp7YugvsXAilrjIxXbmaoCc8jbVajVqtZqjR4+u5wk/o56K3raJlfuZ3njldG5EyC0/ENIzp9jCOEBK7XA6nXR2diIIgrTe2Gy2lGwHNytqkmOLzc0ghufPnz/Pr3/9a7q7u1lcXMRqtXLq1HrakhzvVzggpLKD+FBk0kB4p4TO7XbT2tqK0Wjk4sWLG75974VCut35r6ys0NbWtmX70sSxX3v6OKfKSqjJzUmqjgIcPlTMC+84hkqtpKYqP+lnYnNTo4JA2/QcACfLipOOG6tCHzt2bMNFMXG+Y12TfOKV/w+VWsWHf/Y+SmpTa3cKsLC4xtDoIjbr9kz8xfsiOzub5uZm1Gp1HBkVVU1YXywLCwt54JFRJqY9mE06VBoLc3NzDAwMYDKZpFCdxWK5IlwfjUZxr3j41Zfuw1Zs5c8+/FJMtizySm2Ew+ErQvtqtZqCggIKCgoQBAGXy4XD4WB2dlY6nkhcxLCv3BZqucxHTmkMsSFyhUKBxWLBYrFQU1NDMBiUXkJEghIb3s3ES4hcQ/ZynFO60whiUztin3FxTTEajVL+eWx+eSw2s31Kd2OaTCISifC1r32NkydPcvr0aQCOHj0q/Xx4eBiLxSK1EpUbDgipzBBLSDMVbtlJyF5U6qqqqqirq9t0k8y0QrpdQiqqJvX19VRWVm4698Sxs3RazlaUbjq+RqPi/JnqLecsbug984t87cm29d9VqThWEk82w+EwXV1drK2tbahCi0hUM/seH2R5YRWFUsHAU8NJCakgCCxO2rEVWeNU1B//vJXBkQXqqnM43ZzaIizaT1VUVFBfXy/NJxkZFTE1NQURJ7VVeZSU5HL+3FH0Og3BYFAyyG9ra0OhUJCbmysRVI1Gg1Kp5Gf/8Rt+/rnfIkSjmHOzuf5VLbz2Iy9DEAQp3UUksrGFUQqFArPZjNlsprq6Oo64dHR0SEUzmc6BvpohJ3K80Vy0Wi1FRUUUFRXFqaex3pexLyHpIG1yDNnLlSRnMp0i8RkPhUIsLy/jcDik/HKxZXGstdRG5N3v919VIfu7776br33ta1JdhLg3RCIR1Go1H/7wh7FYLHz605+WZW7sASGVAWIXMnET3Yte86lAEAQGBweZmpraVKmLhaiQZioskCphiEajDAwMbKulplKpZHlhFcGjoLS+OG3zj1VItSoVGtX64qdTx7+V+3w+WltbJRuwrRbvREJ68cVn6XyoD7VGxdnbTyb9nZ989pf85LO/oryxhE/+9gOoNevLQLZJh9GgJcuoTUkNm5iYYHBwkMOHD1NaWiqF08U/iWRULF6an5/n9udewytfbpG+A8Sb5ItFLHa7nfHxcXp6erBYLOTl5aHN0qBUKQhHwev2Mzu0IOWexv6JRCLMDM7xjX/6IXllNt70b3+GIevZ8F0y4mK325mfnycQCHD58mWJuKS7qjdVyE2VlAtSnctm6mlXV1dceHc3KRxyJX9yI8l73TpUo9HERUgS3Tm0Wq0U+k92T11txvjf//73ef7zn88tt9wCEBeZAvjHf/xH3v3ud9Pd3c358+dlF7o/IKQyhFqtlkVRUDAYpKOjA7/fz4ULF1IOXYgq734S0mAwSHt7O8FgcFstNZdmVvntv/8fROB1H345Z247HvdzQRDwB8IY9NtTr2MV0ob8XN553XkAanKfLapaXl6mra0tzoZqKyTaVFkLLPzDt9+16e/0PTGMd83L9MAcnhUvlvz1nNeXv/g0s/Or6LVhxsZGNvz9aDRKf38/8/PzUmFYLBkVv2/stRdzj/1+P+fPn99SdYgtYhFN8u12O3a7nfxT2bzgn54DAQWeJT/Pfd2N0u/EhvYFQeCpX7Uz+PQo4z3TWAosnH/+SaqPVSRVT0XiotfrWVhYoKioSCqcUKlUEmmx2WwZ9USUM+Syee10bUl8CUlM4cjKypKu8XYK4ORI/uQast+vOSkUCrKyssjKyqKiokLqILe0tATAE088ISnmHo+HlpaWtNg+PfTQQ3z605/m8uXLzM3N8bOf/YwXv/jF0s8FQeCjH/0o//M//8Py8jLnz5/n85//PEeOHNn2sQYGBrjzzjs3TIsQvasDgcBOv05G8ae5qsocmbZ+SiWkvra2RltbG2azmZaWlm1twLGkIFOtQzc7P7FzP3XqVMpz7x+c5xd3D7A0tUy2ToNj1hn3c0EQ+Nb3n6Snf5Y7n9vM9dfUb2vOsVZGtXm2uJ+LaQUNDQ1UVFSkvLntJF/31f/4YvRZWpqva5LIKIDBoKW2Oh+Hw7Hh/REKhWhvbycQCHDhwgWMRmOcn6g4p1iIzQf0ej1nz57dUSqKXq+nrKxMqrJdPrUsEdRxxwirl51SaD8rK0uaw+lbj/Pk3a141rz84r/u4Xdf+QOffewjWGIKz0QiGztvpVJ5RbtLh8PB6OhonFormvLLjYxkAnJTSHd7zpOFd0X1tLu7m2g0Gpd7ullxjNyUJjggpFtBfMk0Go3Mzs5y4cIFnE4nv/nNb/jgBz+IRqOhpKSES5cucfvtt++4uMnj8XD8+HH+4i/+gpe97GVX/Pzf/u3f+OxnP8vXv/51Ghoa+PjHP86tt97KwMDApulayRAOh6X9IPaeFP9/IBDAbrfLNg3hgJDKEHtBSDcLqc/MzNDb27thZXcq48OzeSvpxmbnZ25uju7u7h3NfXp2BY9GQ/bJam66UM91Lzsf9/NgMEJv/ywzsyt0981si5BuVLm+k7SCxHG3m+9Yd6qav/v6O7Y9V6/Xy+XLlzEajVy4cGHT4iURKysrtLe3U1RURENDA+GIQCQSRaXa+aakVColtfLQoUN4vV6JnIodXvLy8sjPz6fuVBX/77GP8aW//Sb3fvMhIpEoSqUKrVYrPQOJyq4gCHHfP7aqt66uDp/PJ4X9RkdH0Wq1cS1N5eb9mE7IhXRlggAmdg5KVhyzkX2YXEP2B3PaGmKhlcFgoLS0lL/8y7/kda97HQ8++CAf+MAHuOeee/jv//5vjh8/zu23387tt99OS0tLyi/Wd9xxB3fccUfSnwmCwH/8x3/wT//0T7z0pS8F4Bvf+AaFhYV897vf5a1vfeu2vsvp06f5xS9+wRve8Ia450P8//fccw9ms1naZ+TyPIs4IKQyQOJNsReEFK6seBRDsXNzc5w4cWLHlXji98lUYUiyrkexua7Hjx+noKBg2+OeOVlB/0AJuTkNvPKu61Eq179H72ODzAzP0fKCM9x5ezNdvbM85/pD255z4vkIhUJ0dHTg8/m2lVaQOO5WylU4HMHjDWLO1qe0ACUjpE6nk7a2NkpKSmhsbEypeGlubo7e3l4aGhooLy9nYHiBb//gSXJtJt76hmsxGNJT3GA0GqmoqKCiokKyebLb7fT09BAKhcjNzeWWt11LYU0+9SdrKChfN9tWqVTMjSxw+d5OztxxnJyidd9Ut9sNrF+fxNA+gMFgkNRaMezncDgYHBwkGAzG5STuVomQk/L2x6aQbobN1NPYvuvidZZjyF6uJFluL2zJKux1Oh233norf/3Xf833vvc9mpqauPfee/ntb3/LK17xCr761a/yvOc9b9fHHhsbY35+nuc+97lxx77hhht47LHHtk1I3/Wud3HzzTfzgQ98gDe+8Y0UFxejVqvxer3Mzs7yt3/7t9x5550HnZoOkDr2ipDGPoiBQID29nbC4fCOyZEIhUKR0e+QSO5EYuf1ereV6wrrZO1X93ThWPbwgtuPcdO1Vc9Uc69vLsvzK3z577/NyuIqywurvOLvXsh1LakroxvN2ePxSBZa202JiMVWnqEeX4DP/td9OFc83PWi01xzvnbDz240pphOENvVarPiJdGySnw5ELutDI0sMj27gssVYGHJRVXF9tTgVJBo8+R2uyX11HxEh1uzwtDQEHl5eZjNZv75+Z/CMbvMQz98nH+974MMDAywtLQkWaXE3sOxYf1Yr1SRlMS2NBX7cRsMhriWpnIjCNuB3MjxXs4lUT11u904HA7m5+cZHByUig+dTqdsrrMcSfJeFzWlgs3mJHaWy8/P5zWveQ2vec1rpPz0dGB+fh7ginSAwsJCJiYmtj3emTNn+PCHP8zHPvYx7r77bo4cOYLZbGZxcZH777+f+vp6PvjBDx6E7A+QOjJNSGNzPOFZj06bzcbRo0fT8gabSeuc2LFFD8ysrKxthVFETM0s89BjQ6y5/JSV5FBWFB8C1+g1GEx6/B4/JuvG1ZYrq15WVn0U5GXz+wf7EQSBW25qwviMChhL8kSrpPLychoaGna1aWwVsm9tm6Srd4ZgMEJ378y2CKkgCAwMDDAzMyOlE4j/Lt6fiWQ0EonQ3d2Ny+Xi7NmzcS8HZ09VMju3Sl5uFuWlOVccN91QKBRkZ2eTnZ0tqVyirVRHRwfRaJRgMAispxGIanVs0VWiKf9WtlKxRRPhcFiynOnr6yMcDsepaqkYdh8gOfaTHMfeV1VVVYRCIUZGRrDb7fT29sappzabbd82f7mGx+U4p432PJ/Pd0WVfSbmn3gv7+b+fu9730t1dTU/+clPGBkZkbpNveMd7+BDH/qQrF0DDgipDLDXIXtxE41EIkxNTdHf35+SR+d2kElzfJGQLi4u0tnZGeeBuV0UFpgpL7XiXPYwNLrIHx5e5NrzZTQ2rv/cZM3iPf/7VhYnHRw6l5zMebwBvvn9J3A6PTQdKqKtc4poFCrKbZxoLpfmHIlEGB8fZ2hoSLJK2i22CtkXFVqoLLcRCIS57mLdpmPNu9woUaB/huS2trbi8Xi4cOECWVlZWxYviSq7Uqnk3LlzV1hWFeabecsbrt3hN909NBrNFTZPxi+buHRPB4VHc3E6nVRUVBAKhdDr9UlN+WPTFJKpp4mm/Pn5+eTn5ydV1cSK7nT6YWYSf8oK6WbQaDSYTCYCgQDHjh2TrrPYuna/VPKrjfztFzZSSCORCIFAIKMErqho3Sd6fn4+Loy+uLi4qw5RL33pS3npS19KKBQiGo1eNR3pDgipDJFpQgrrG+jAwAArKys7KqbZCpk0x1coFLhcLjo6OmhubpYe6p1gfNLBQ48NE45EKXN4ca256TdruOaMC0veeoVjXlkueWUbn59QKILPF8TjDWLQaykrySEqCJQUW6XPiOra2NgYZ8+exWq1bjjedrBVyL6+toB/+Nvb0ahVmM0bKzUzq2vcOzCCUqHgTP5616NoNCqpzrHFP8nyRV0ul6SyHz58WHYbYSJEm6cjZ5t46EeP86P3PcWJ5x4h7315XLp0CZVKJVXt22w2yZQf4u/t7ainiapaoh/mfvZiTxVyIYFyIqTwbL5m4nWObV3b19dHKBRKa47xZpArIZXbnDbr0gRklJBWV1dTVFTEvffey8mT677RwWCQBx98kE996lO7Hj9TzXUyhQNCKkNkmpD6fD4ikQgej2fDnu67RaYU0nA4zPT0tGQ7ZDZf2Td+O7jn/h7cniAAIa8fLg3x6N1P0vH5+3n1P76E299085ZjKBQK6uoL8WTPM28K8OrXnMes06HRPJuf29vbKxG8dJ7vVPrO59q2zqmNRgUiUQGv30evfZ5spYLTp09LCuxmxUuLi4t0d3dTXV1NVVWVrIjCZrDb7XR2djLy+DRBb5Cu3/fz9199J0qVkpWVFex2OyMjI3R1dWG1WpPaSsWqp4mm/CKSqafJKrrtdjvT09P09/dLvdjTma+2W8hlHiA/QrpRvmZiTrPH48HhcLC4uBiXY7xZW8udQo5FTXLMId2sjz2w69ahbreb4eFh6e9jY2O0t7djs9moqKjg3e9+N5/85Cepr6+nvr6eT37ykxiNRl7zmtfs6rhXIw4IqQyRSULqdDqlsGpjY2PG8tgyoZB6vV5aW1uB9bfW3ZJRAG1Mp6T6Igu9vgAB1/qfu//7HnJLcvjN/97PuTtPcfsbb0o6xk9/0cZTnROs6EIsW6OcX13jeOm6aru2tkZraysmkwm32532852uXN0yq5njOSaGh+Y51lDH2NiYNPZmxUsTExOMjo5y5MiRXYWYIpHoM4qiAofTjdGgTVsVfjJMTU1JXaZe+8EsfvLZX3LDK1ukrlVi7+uGhgZ8Pp9UGCV2d8nPz5eIhEqlShraF8/bdlqait2ERFupYDBId3e35HkqqrX7BbmQQLkR0lTmo1AoMJlMmEwmKisr43KMxbaWsbmnuyksFe8/uZ0juSqkyebk9XpRq9W7ft4uXbrETTc9u3e85z3vAeD1r389X//61/n7v/97fD4ff/VXfyUZ4//ud7/btgfpHwMOCKkMkCyHNN2dFETyMDQ0RGNjI5OTkxlVPNJd1CQWopSUlGCz2eLeOHeD2up8sk06BAGiKiUCgAIUSiiqyuf333mYvieGWFla49Y/vx6V+so3aaVSgVGrQZet43BxIdW5VmA9L6irq4uamhqKiop45JFH0jLnWKSikG4FQRAYHh5mZWqS606fIqxSExFG45S+ZG1A+/r6sNvtnD59GovFsuPjz86t8F9ffRCUCm6+pp5HHh3GajHyljdcR5YxvaRUEASGhoYk39ecnByK7yrmurvOb/g7BoOB8vJyysvLiUQikq1Uf38/wWAQm80mqacGgyEutA/PFkaJG/JW6mlsC9VHHnmEqqoq/H4/4+Pj9Pb2Sj6Colq7V6TjQCHdGDtRIxNzjD0eD06nU3Jo0Ov1cbmn21FPN8rz3k/IcU6wccherLDf7X124403bvrsKBQKPvKRj/CRj3xkV8f5Y8ABIZUhVCqVpKikA2Lls9PplPIXZ2Zm9sR8f7cQBIHx8XGGh4elQiC73Z42svvcm4+Qk5PFL37dQeeDPfhXfJjzTJy74xSv/9gr6XqoD+fsCueffyopGQV4yfNPcup4BVUVuWSb9BLBGxsb49ixYxQWFuL3+6UK9XRupLslpJFIhM7OTtbW1jh3/jyX5+2M2x0EPX6CwSAqlQqFQnFFG9COjg7C4TDnz5/fterbOzTP2KSDqELAZNFjt3uIRgXcbn9aCan4HLjdbs6ePbuj3DCVSnUFibDb7SwsLEjm6SI5FQtYNiuMStZuNVE9NZlMlJWVSS1URfV0YmICtVodZ8qf6ZamciGBciOku1UjY9XTWIcGp9PJwMAAwWAQq9UqXeut1NPYe0ouEOckt6KmjUL2V1sf+z8GHBBSGSKdIXuv10tbWxtqtZqLFy9K1XZ7YS212/EjkQg9PT04HI64QqB0qq/+QAi1Skl1ZR7upjIccw78y246xuz84ckRXnzXea676/ymm405W0/z4fWK+XA4TFdXF2tra1y4cEEKuyS2cEsXdnMu/H4/ra2tqFQqWlpaUKnV+EPz+EJh1BoNDz300BXqn8fjob29naysLE6cOJEWAnSyuZxDTYUEiXLbLU0s1q+SZzNRkJ++kFWsA8DZs2fTUjQUSyJiC5XsdjtdXV1S60nx/Ol0ug3V09gwvzh2MjKh1+spLS2ltLSUaDQqmfKPjIzg8/mkXFexYCad95qcSKCc5gLpz9dMVE9Ff1u73c7w8LCkntpstqTdweRMSOU0J9g4ZO/z+WTr1/nHigNCKgNkyvZpaWmJzs5OiouLaWxsvKJXd6YJ6W5Io9j/XKlUxhHpdIwdi//7VTuPPD5MabGFw2dqePjJfnxzK/g6J/jdj57kxusbybGmlsvl8/lobW1FrVbT0tISR3piFbJ0Lsg7VUhXV1dpbW0lNzeXo0ePSsVLZ8qLqcoxU2o5hhAKxal/er0ev99PYWEhR44cSdv3yM3J4kN/fQeBcASjVgMN5WkZV4Tb7aatrQ2r1ZrWeSciWaHS0tKS1Io3Ozub/Px8yZR/K1spn89HOByW/iQWUimVSinXNdaUXySoOp1uxyHfZDgI2W+MTM4n0d82EolIuadidzBRPRVzT+UYHhf3GzldN1ifVzJbJI/Hk5aQ/QFSxwEhlSF2S0gFQWB0dJTR0dEN/S4zacu02/GXl5dpa2ujoKAgqYVQOuceiUTxeAIsOTyMPT3MyvwqCkBr1HL8fC2WTaySks25sLCQpqamK+acqXaqOyGkYm5rbW0t1dXVcW1ALTotOYZnWozqdJL6J+Yfm81mHA4HDz30kJTHmJeXt6vE/+UVLx5vgNIYm6x0weFwSF61NTU1W24u4VCY//vcbwl4g9z13jvRGXfm3xdbqFRbW0swGJQKoyYnJ1EoFNK5y83NvcJWyu1209nZSV5eHhaLZcvCKFhvoWo0GqVc140KZnZjNySXzVluhHQv/TVjLclE9VS0lhKL7sScbjn5fm7k0rHf2Ogc+Xy+XRWWHWD7OCCkMkEssdgNIY0NGZ8/f37DSvS9aE+6k/EnJycZGBjg0KFDlJeXJ1280q3u+oMhfL4gjqeGEVa9GIrMfOkPH8VWnFo3IbG1ZkNDAxUVFRvOGdKvMm2HkMa+qIi5rYmFNskq6WOLgGw2G4IgsLq6it1uZ3x8nJ6eHiwWC3l5eeTn52+r0Ma57OHz//sgXm+QV7zkNCePpU8dnZmZob+/n6amJkpKSlL6nSd/0cr3P/kzhKiAJS+b57/91rTMRavVUlJSQklJCdFoVDp/Y2NjdHd3S+cvLy9PytEtLy+ntrZW6sa1HVupWNLS0NBwhd2Q0WiUyKnFYklJSftjUEgDoTCtw7NYs/Q0VRSkdT77oUbGqqexLyILCwsAPPTQQ1fknu4XIZRjhT1sHLI/yCHdexwQUhlip2RODE3q9forQsbpOkaq2G5YPRqN0tvby+LiIqdPn8Zms2059m5VkuUVD0+3TuD1hsgyRqg8UcV46wiqhlzWdAo2nsGzcx4YGGB2dpbCugbcWgMRQUCdZE6ZUkhTPc9iPq7T6ZReVGKticQ5xp5P8eXG6/XGFQEpFAqsVitWq1UqtLHb7SwtLTE6OopWq5XIabL8tlh4vOsNBdzuAKtrvl2ejXWIRWXT09OcPHly03spEXnluag0KoSIQFF1flrmkwilUklOTg45OTnU19fj8/mk/MCRkREEQcBqtWI2myX1JjG0D9sz5U+0GxIVtZ6eHiKRSJwp/2ZdXeSkbu1kLk8OTPOzR3uwZOl5+53nKczZncekCLlYLIkvIjqdDofDwZkzZ3A4HDidTunZjM09zXQRXCzkpNbGYqsq+wPsHQ4IqQyhVqu3TRYXFhbo6upKuT/6XuSQrvcJ3xqBQIC2tjbJOH6rcGKs2ribTcBg0JJnNeJ3ZfHcW5vRZan53sM27Dkh/jA8xhvOndzwd0UVy+XyYPeY+cndl9GXGXjF6aNcqLpS5RPJ3n4opOL5FQSBlpYWdDrdlm1AfT4f7e3taLVazp07t2lIXq/XU1ZWRllZmaTQLC0t0dfXJ9kiibmTiRX5ZSVWXv6ik6y5/Fw4U73Ds/AsROK9trbGuXPntq1wHDpby2ce/AjhUJiqoxW7nk8qMBgMlJaWEg6HcTgckhfp4OAgfr8/rjDKaDTu2pQ/0azd7XZjt9uZnZ1lYGAAk8kU19I0tiBPLtjps2/UaTDqNeg1anSa9JrQy4GQihDVyMQ0DrEIbnh4GL/fH5d7mmkLMTma4sNByF5OOCCkMsR21EtRDRofH99WG810W0slGz8V5U4srrHZbBw9ejSlN+h0FQjNTjkZ+tkTBNa8dBrUjLqChFQRbGYNTYUbq2Mej4fW1tb1sGdBDb984EmWnCvYdDY227LT7c0KSOHcjeByubh8+TJWq5Xm5mZUKlUcGU1URWH9mrS3t5Ofn39FMdxWSMxv83g8LC0tMTc3R39/P1lZWRI5tVgsKBQKTp+o3PH3j0UwGKS9vR2Ac+fO7biSvuxQauH9dEEQBAYGBlhYWODs2bNxaTairdTS0pLUF108vzk5OZvaSok2Y6m2NK2uriYYDErqaUdHBwqFQlJP5US6dhoiP11XQp7ZSLZBh9WUvgpquXVFSrY2qlQq6UUDiMs9HR0dRaPRZNRC7CBkf4CtcEBIZYJkOaRbbQCiSuf1emlpadlWizM52D6J1cd1dXXbajmZGLrcKYZ6p1idXybqCzLYNo63wIYtx8AJl4B60EmkrASVKn6hstvttLe3S0r0ksNNaaGVbLOeG69p4mzFlQVkIjKhkIrV8cmwuLhIR0cH1dXVUi7iVmR0fn6e3t5eamtrN8yHTRWxoeLq6mpCz1Tti+cQuKKwZ6fweDy0tbVhNps5cuSILEODyRCJRKS0iHPnzl0RHRDzA2ND7Xa7nZ6eHsLhcJx6qtfr02LKX1RURFFREYIgsLa2JhViAXR1dUkvFCaTad8I6k7JsUKhoKowtdzw7UAuIXsRqRBkUT0VIxsrKys4nU7JQsxisUgENR3qqVwJ6WYK6YHt097igJDKELGbyUYbq8vloq2tjaysLFpaWra9mWc6ZL+ZQhqbe3ny5Eny8vK2Nba4qO12/ln5FoTyAqIeP5ryfOrLbRi9Ph79+hMM/maYt//762i+rgmI73QV61yg06o50VxGabGVQ/Wbq9OZUkgTCWlsM4GjR49SXFwcly+6URvQsbExSWnPz09//qRGo5E6ECUr7EnsF69QKPCFQow6Vsgx6ikxJ/cldTqddHR0SObxm22cAW+AhfElyhpL4l5s+h4foqAyj/yy3LR/740gKroKhYKzZ89u+QxvFmrfSH3erSm/xWLBYrFQU1PDAw88QGFhIWtra0xOTsYpbjabbU/zEeWk1oI8FdLtnJ/Yaxmb1+x0OhkbG0Oj0UhK+U6vtVwJ6UY5pB6PZ9t70wF2hwNCKkOID8dGD8rc3Bzd3d1xytdOjrEfRU3BYJCOjg4CgQAtLS07ytERN83dkrumQ8Xkn6xhbc3HqfO1vPplZ3n/XZ/Ft7jGtNNDMBACni24WlpaijPoB/jV77p46NFBqivz+Zu356LXbUwq9iJkH41G6eruoXNyCl92DiZ/CHMgyKjDiVWvoyjbdAUZjUQi9Pb2srKywtmzZ/ekh3Kywp7YfvE6nY68vDxmwgLtS06KzNm89FgTBo2GQDiM7pkNcXZ2lr6+Pg4dOkRZWdmmxwyHwrz/lo8zMzTPnW99Dm/4+KsA+On/+zU//NTPMZqN/Ofj/z8s+cmdKdKJ3Sq6yULtYmGUqD6Ltly5ublotdptm/InM+cvKiqisrJSeqFwOByMjY3FOS3sRTW33Aip3BTS3ZI/g8Eg5YXHNmAYHR2VrrVIUFNVyjfaz/YbmxnjH4Ts9xYHhFQmiH2gN1IAo9Eog4ODTE9Pc/z4cQoKdm5bshc+pInzd7lctLa2YjabOXny5K4UlXSQu1ybiU9/7GUMjy5yqL4Qc7Yewe0HAZRqJVqt5oqCq9iinEgkSlfPDHanh2yTAbVq8w0g0yH7YDDI45cu8+TcEv3+MLPTQzw0Octth2oZtjvI0mn5i7Mn8YZC+MNhSi3ZqASB9vZ2lv1BimtqUT/z/ZxeH5PLq5Rassk3rS/KgiDQMbuALxSiqTAfq2F3LUNjsVG/+PmpKezOVdReC/N5VuZCEcZWXRwtKsDk9zA5OcmJEyekvLjN4PcEmBtdIOQPMXR5TPr3pUk74WAEn9uPe8WbcUK6srJCe3s7JSUl1NfXp4XIaLVaSX2OteWamJigp6cHs9ksqc/Z2dlbqqeJof1ExL5Q1NXVSYqaSFrEam4xHzHdRERuhFRu80mnGpnYgMHn80m5pxMTE3Hqak5OzoZKv1wV0o0ikQdV9nuPA0IqQygUiisInRjeCwaDtLS07PrNba8VUtGMfTeq7mbj7xRGrYpzp9fzV596ZAD3igc0KmpO1VB6pIjHH388riAoEUWFZlxuPyeOlaPeoNd9uuccC5Hkut1uWltb8SnV+IzZrK4trKteQhRPwM+S28u8y8MTE1PMuzwMLNqxaDXUEqKuMJ9ltYEnugfwtvVQn5+LRa9j1LlCbW4O5RYzISGK3e3h25c7UaDgzRdO8dzGuh3P2+0JMDSySEVZDqtCiKggUJObg/KZe19sm3jo0CEmFpfwu9ZYWpjngbFpFsNRlqanOWnN4syZMykruiZrFm/9zJ/T9vsuXvjO26V/v+v9L2RVEcFUmYux1LLj75QKFhcX6e7upr6+nvLy9HakEpHMlktUT8fHx6XCs/z8fCn8upV66vf7gXUrMLVafYV6GquoxVZzJ3YSSqUPeyqQGwGUY8g+U/MRXSFi29eKoX3x5Ue81rHqqRwJqRgZ2IiQHiike4sDQipTxBLG1dVVqfXhqVOn0pKrtRe2T2IxxdDQEJOTk5IZe7rG3y25+/13HubB7z/Giecc5QV/dRs9HROEQhEw6Cg6VcHl1kvU1NRs2OFHpVLy6pedZXJmmUN1W3+vTNk+2f0Bvvjr31FfVsrpw408+UQrJeZsjtRXU2uz0ViUh1GnY80fwKLXs+DyMLu8SrfLRai8mBc0HWF6aJRlX4DJ5RWW3F6ur6skz2hk3uXm94OjRAWBfJMRTzCMXq1C/8w9GAxHeGJimmAkQktVGVkJle0uf4CIIFyhpt79604ut09QUGwh97SNiADqRiVVNmvc55RKJdVFhVC0fn6t5RXcf6mNfM26wn/58uU4crVVHubNf3YtN//ZtfHHsOjJf9VJHF4fkyur5BgzU8gwOTkp5fXuJrqxXej1+jgCsby8jN1uZ2hoCJ/PR05OTpytVKJ66na76erqorCwEI1Gk5Ipf2w+YmIfdoPBENfSdCckRW6EVG4h+70iyLHqaezLT6x6Kob2Q6GQ7AhpbEOQRBzYPu09DgipTCESUrEL0HYr0VMdP1MQx29tbcXj8XDhwoVtuQBshXQQ0t5HB5gZmicqCMwMzTPvDWE+Xk3I56PwcHZKBLog30xBiiHeTCikw5OTXHK6mRMU2B2rVLi9HC7KZ9UX4LrqMmrzclEoFLzs2GFcgQC5WUaywwGGlVH0OVbybblEhCi3NtRQYDJy3+AoWVotz22oQa/R0D4zx4jdiVKp5GJ1BVU2K4UmE9fVrls1LbjddM4tEIxEKLdaOFTwbOjc4fHym/5holGB5x6qpci8fv09wSArPj8CoFYp0GvURAHdFgqz1+tlaXSEC+XFNDc3o1AopND0yMgIXV1dUmFUfn5+SnmMwXCY3/QPM2JfprEwl+INCqd2g8RuV7E5yHsNpVIpkcFDhw7h9Xql3N3h4WEpd1e0lRKbbYjpBaKVlFgQlYqtVGwf9nA4LLU07evrIxwOx7U0TfSp3QhyI6RyVEj34/wkvvyIecbj4+N4PB60Wi1jY2Pk5uZKqSP7CXE93qioKZ171gG2xgEhlQkSH0ylUsnY2BgrKyucOnUqpRy57SDTOaSBQAC/34/JZNqRC8BWSIfCe8vrrseQbcCUk8WDP3wcFHDmpScwl+q48/nXp7XC0uMJ4PGG03bOo9Eo/f39TM/MoFMpydEbsej1WA06bmuoxR8OYzMapPtqbs1F59wCOo8Lg9/L2269kWlfAJvRSLZ+vTNPS1U5LVXlRAUB5TO/d7GqAoNGg4DAufJSlEols6suVnx+cowG8rKM1NhyWPX56VtYwun1cq6iFJVSiS8UxhMIEYlG8YbWC8TC0Sj/+3gr3SonjacK+IubT6PQKREA2ybKpJh3WVxcHNf4IScnh0BQRXuPi6KCXAoKDFcURokdo1AoaJuZx+0PcKq8mGydjp75Jf4wPIY/HOGm+ioKTOkJ0UUFgRWfH6NaxWB/v2TULzfFxWg0UlFRQUVFRVzubl9fH4FAAEEQKCgokNr4iuc9NrS/XVN+MR1D9Km12+3Mz88zODhIVlZWnCn/RiRvM0IqRiH2kuzIjSDLITyemGfc29tLIBDA7XZLLg2xlfvp3iNSQSQSSWp/Bwe2T/uBA0IqQ/j9fvx+P9FolIsXL2bkocikQirmySkUCk6fPp2RhTodhLqppYGmlgYe+ckTBP1BwtEw5cUGTEX6tOYOOZxu/utLDzC/aMdgtFFcXLyr8UT/Wb/fzzXnz+N/+BEOnz5NjtFIzjOhcaNWE3fe26dneaCnnyKdhr993q3rRUQbjK+M+b1AOEzfoh2XP4jVYECJgj8Mj5Ot1/Kio42YdFqed7ieureT2gABAABJREFU9pl5fts/zILbTW2ejQJTFiWWbG6qryIaFajIWc/NFASBeZeblXCQSI4KW86V5zkUifDkxDQLSy5ubKom5HXR29u7Yd7lo08O8/sH+ykqNPPutz9HIldimFj07FSasnnK6SKoUGLW67Aa9CgUUJSdTTAcoSwnfcVMHTPzPDE+RWTVyZm8nF0Z9e8VYnN3Z2Zm6Ovro6ioCL/fz6OPPkpWVpaknloslrSY8os+tVVVVYRCIalYpqurC0EQ4lqaxp6/jQjgzKqLrz3dTpZWw5vPn8Kk25tzLreQvRwIaSKUSiVms5na2lpJPXU6nUxMTNDb20t2drZ0rfdKPRUr7BOPJQgCXq/3QCHdYxwQUplheXmZ9vZ2VCoV1dXVGXtDi83xTNeDLwgCo6OjjI6OUldXx+DgYMYWld2GvwVB4OEfP8nsyDyFNblYykyYc7K56fbrudx9Ka3qsd3hxrnsxe0OsbDk2tVYXq+Xy5cvYzAYuHDhAgqFAoNKSaXVEuclmfg7wcV5SrIM3Hry2LbvKQWgVKz/NyJECUYjRASBaEw+bIk5m9rcHMx6nUSKlQoFDfnxyv7AwAJ1wSxqqq3c0FSV9HhLHi+/ur+HsfYFHivo5faWXE6cOLahN2pleS7FhWZKS3IwZa0TkHAwwlzPEtXHKmlqasLtdjMzP4923o7b4+HpzgDzESi0Wnj92eOY9ToKs9O3+SyurdE3PkGZ2cTJk6fQavde/dkJRA/b8fFxTp06hc1mA9ZfgkSC39nZSTQalWyl8vLyNrWVStWUX6PRUFhYSGFhIYIg4HK5sNvtUtqSSFjy8vI2fD4HlxwMLjkwaDRMLK9ypCj9frrJILeQvdzmA/EkOVY9ra2tJRAISLmnU1NTcR3CbDZbxl7mNvP6Psgh3XscEFIZYXJykoGBgfUOQEtLGe0dLT6E6SKk4XCY7u5uVlZWOH/+PFqtloGBgYyFsnZLSJemHPzqf+5lcXKJxltq+PNPvILffvMS77z4z+RXWzj747NpUUkDviDFuSZecMcx+vqHqK228fDjQ5QUWamt3t5m6XQ6pXy+Q4cOxaUtTE5OUlRUdMWcl5eX6ejo4ERFGXfV1W3bfsdi0PP8ww14gyHKcyxEolH0ajVZWi3mZ0L9AAXZWdx1/PCm13p5xct3f/w0dqeb5916hIb85CkRNoMBrR+C7iCrSoHDR27c1Kj/zMlKDtUVYjBoJKeDz7/rqzz5i1aKawv5zMMfJTs7m8bsbOpra/EHAlwaGWN6cJSZ6RmGg14qigrhGQ/N3RYNrq2tEZmb4eaaCs4ebkJ3FZFRsYVponuBRqNJ2sFpampKUrdEcmo2m9Niym82mzGbzdTU1Eg+qw6Hg/b2diKRCJFIBLVaHRfubS4u4EJFGUathtrc9Hdk2ggHCunW2Iz86XQ6SkpKKCkpIRqNsra2hsPhYHJyMu5lxGazSfdXOrCRBykcVNnvBw4IqUwwOzvLyMgIZ86cIScnh+Xl5YwXHcHmD2Sq8Hq9tLW1odFouHjxIlqtlmAwKI2fiQ4uuyWkM8NzjHaME/CFEFwK0Ft59LuPIHgDuJfWeOznl7jzjbduOY4gCAQCYfR6jRSmFM/n8vwKn33zl/Cu+XjLv7+O3PNlXG6b5onLs+TaTHzgPbdjNqemVooqkb6ohDVjNu5gCJN2/ZiNjY0sLS0xNjaGwWDAYrPR5w7gD/ixeV0ca2rclcVQfkxepVKlojZvXTWbW1ilrWOKQ/WF1Fbnb7lJ6HVqsrK0rKyqCAbDG35OhcB1TRayI35aLjRTWrJ1RXp2dnwxjH3aSSgYZmVxlWgkKrWAVSmVZBkMXHu4kaqSEgwaNepQMK4wKrbqfLsb0tLSEl1dXRyuraGyslJWJGUzRCIRuru7cbvdSVuYxiK2g1OsuiW2GBULp2KdD3Zryh/rsxqNRrl06RIajUYK94pWQ3l5ebz9YmbShDaDHHNI5TQfSJ0kK5VKybZMvL/EVI50q6cbmfVHo9EDY/x9wAEhlQmKi4uxWCzodOuq015UwcP6A7mbZHJRsSguLqaxsTHpxpMJ7IaQhkIhfv3N3+H3BBEEgcmeWdofHUQIP3O+lZCVAlEMh6N87N9+ycSUk5fccZzhnz3OePcUb/yX13DqlmZmRxZYnLDj9wYY65qk8KQVtVqJRqNCo1FJJCkZPN4AT7eOo9GosGQFWViY49DRZu4Zn2FmepFQOML5ihIAysrKKC8vl3qdXxoZ43d9I4SFKHdUl6NWqwmFQru6zpFoFGVCOsD//aqDy20TVJTn8k/vvX3T7wNgMGi55YZGvv3Dp7jcPsWZk1XUVMWrpD6fj7a2NnJtRt79jhfu+GXm7f/xBu7/7iOcuqUZjfbKMVRKJZUxFlM2m42Ghoa4qvOhoSEMBkNc1flmG+r09DQDAwMcOXKEoqLN28jKCWJOcjQa5ezZs9ve4BPVrZWVlaTOB7EtYbdjyh8b5hX/q1KpKCwslHJcY62G1Gp1nFH7XrQ0lVuIPBqN7kuR0GbYqfih0+niXkZcLpdEThNzT7ernm7mQQocENI9xgEhlQmUSqVERiHzhFQMke30GLG93Zuamq5o2xi72WQCO62y93g8tLa2Unm8jN77hwn6Qpx8TjPRUBjUSgiBKTeL8iMlW441Oe2go2uaQDDMg/d2svrYIKt2F5d/18GpW5ppOFvLLa+/HveyhwvPP8XE3DgtZ8s5dbKBgrxssrJ0m4y9zOX2SVyuFU4ctnDrLdeg1euxLToIRyKYnynWiM0ZFTdi6+QUxVl6cmy51BTkSd16LBaL1OtcJAap4PL0LHd3D3CkqICXx4Tl82wmzGYDebkmlMrUxtJoVKhVSsKRKIEElVSspC8sLJRSEnaK8sYSXv+xV2z792KrzkWCb7fb6e7uJhKJxOVNis+rIAiMjIwwNTXFqVOn1iv6rxL4/X7a2trQ6/WcPHly1x2VYn0pGxoarmgJq9VqpfNns9lQqVRbqqfhcBiH18eKP0CVzYpOrY5TJBOthkRT/pGREXw+3xWm/JlQDuWmSMo1ZL/bOSmVSkmdT0zlmJ6eBtiwEC4ZNiLJB4R0f3BASGWCxMVMpVJJFaqZwk4r1SORCD09PTgcjit6u4vYLeHdCjuZu9jnu7y8nGOvO05kWYHJauTEc47yj3f8C4pgGIM1i9JDBWj0W6sLl9rGiT6zMdY2l5Nl1jHaMc71d10AQKNV8/L3vkD6/NSCEqUSmg+Xbjm2JVuDEFkj16rj5puvJSvLiCAI3HGoDk8wsF7xnrCQ+v1+2tvb0ahUfODFd6LRaFA98xm/34/dbmdpaSmpJdJmG0XX7CKDS06CkSh3Hq6XzO9f8vzjnD1VSVFh6qrE8aNlCK9cV5Ma65/1eO3tG+NLX3sIszmbd//VGVlspmq1moKCAgoKCjYtsnG5XLhcLs6ePXtVVeWKHqM2m42mpqaMnPPElrCiKf/AwACBQEBKj8jPz5fSBBLVU28gyL1DYyy4PFxbVcbpsuK4YqnYeSe2uRRN+cWWpjqdLs6UP10tTeUWspebYgub55DuFIktc8Xc08RnVMw9TTwnG4XsvV7vFSLRATKPA0IqU6jVagKBQEaPsRMVVlRUgCt6uycbXw4h+1g19/Dhw5SWlvKrL93LIz95AltxDhHW+5wLUQFzVQG3/c0N6DdRL0V4vSEUQJZBw83XN3K48eZNP59qp6aVlRX6+zq47eZDNDU1oVarpJCmWqkgJ4nKs7a2Rnt7OzabjcOHD1+x8Or1+rjWjk6nk6WlJckSScz5EyumY3Gxuhx3IEhTYV5cJya1WkVVxfb8cVUqJadPVEp/FwSByclJHnqkA5cH/CE/YxMOcm3yInaJRTaBQICFhQVGR0cJhUJotVomJibi2nHKGaIaXVZWlpZWvqlAbFmal5cn2eosLS2xtLTE4OAgRqNR+rnYwUmpVKJWq9GoNWg0ajQaDVNTUwQCAYxG46a2UrCueBuNxjhC7HA46O/vJxQKxZny79TRJDF3XA74Y1VIN0NsbrOonm5kI2az2dDpdFu2DZXTS8afAuS9av4JI9Mh+50cY3l5mba2NvLz8zly5MiWi0smv0OqhDQajdLb28vS0pKk5kYiUR784eMsTjkIBcPc/KqLPPDbDqa6JlnzBZmfc9OcwthTM05C4QgqlZL2ezsYeaCb6++6gGWDzk2pzHl2dpaenh7yyiuwFhahUinj8uvETXeqf5bVNQ8jugir7jVsnlUqKyvR5+bx854BOucWuKGmihtqK1n1BzDptKiVStyBICqlIs6c3OVysbS0JOVkmc1miZyaTCYa8nOvsG9KB6LRKAMDAywuLnLnHS2gGkClUtLYIP/8S0EQmJmZwWw2c/ToUdxuN0tLS3HtOMVzKDfrGNEneCNf171AbAenqqqq9bD8M4VRXV1dV6RH3Hm4nmWfH8/8LPPPRGaMRuO2TPljCbGYL+xwOFhcXGRoaAij0SiRU9FnNRXshxH/VpBbCgGkp4B2O9BqtXHOEGLu6czMDP39/WRlZaFSqSThJHZuHo8Hg8Egu3P4x44DQipTyI2QTk1N0d/fT0NDAxUVFSk9qJlolRk7duiZ7j8bIRAI0NbWRjQajVNzg74gzvkVhOi6suFd9dHY0sDUU8N4B2f5/ecf4jl3nN1yDkajDpVKiSoapef33QRWvThml6k7WU3LC0+jSmiFqVAoNjwfgiAwPDzMwOgotY1N3DM+jX96gRc3N1GXmxNHRh1zyzz84yeYcruZrjMQVIV42aljtLv8jI53MmJ3Yvf6cPsCrPp9TDhX0Y+tMfy9pxHqbRx9XQsvPdZEtl4Xp/yJFa1iaH9sbAyNRhMX2k9XyC0cDtPZ2Ynf75equt/2xs3btO4GnlUvywurlNYX7XqTcblctLW1kZeXJxXyiWHi2HacovJnMBgkcrrT3u3pwvT0NIODgxw5cmTLtrh7CbVandSDdGZmRipciUajhMNhzpw5I5H83ZjyJ7Y0FdW0np4eIpFIXC7iZqFbkZDKSZH8U1RIN0PsOlddXS2pp+Pj47hcLh555BFycnKYmJigubk5Ix6kH/nIR/joRz8a92+FhYXMz8+n9ThXMw4IqUyQLIc004Q0FcIYjUbp6+tjfn5+2y1M09Hec7OxN5v72toara2tWK1Wmpub44iUWqum6nAZa3YXNccr+el//IpLo0sIkQiKqEDYE0xp3i++8wQajYqy/GycTw4y1T/Doz97iifuvoRSpeDii+JJ7UbnIxKJ0NnZyd0Do0xGlZT1DjPicBIIRVhYdRGKRqnMsXKhupyjhfm0Li6xqhdwrHhZ9UexleTTtbxGOBIlGhUotZrRqdX4IxHu6R8hFImi+mEni0+NoeqfIfc5h1htCJCt1zHhXGFgyU5Dft56wYhOJxWIxOb89fX1EQwGJdUqPz9/x/lVYtqHVqvl7Nmzu6oG/s2Xf0/HH3p56d8+j4YztUk/41n18p7rPszKwiqv/dBdvOAdz93x8RwOB52dnVRWVlJdXZ2U3CYWRsUqf8kM5fcCYtOKyclJTp48iTYri3+7/1HcgSBvu+YMJebsrQfZIySmR3i9Xtrb26UUpqeeeoq8Zzxj8/LyNrWVStWUPzFf2O12Y7fbmZ2dZWBgQOpSlaySO9ayKhZr/gB6tRqtOr15k6nggJBuDlE9XVtbQ6FQUFhYiMPh4Itf/CKPPPIIFRUVADz00ENcvHgxbY4FR44c4b777pP+nu6c2qsdB4RURojNMZSDQhoIBGhvbyccDu+ohWmmc0g3mvv8/DxdXV3U1NRQU1NzxUYx2TvNaNckPrefnkcGqDtdjSoURWHQgjdAaWNhSrmetdX5/PVb1/NGwy84yXDrGF98zzeJhCIYTFfm1iZTdf1+P62trQQEWNUZmZpfQqFQoFOpWXJ5eWrVhS8Y5InxaR7qHOL6hhqeWJgHk5+CRgs5NgtRYNHloSLHQjASoT7fxvmzZfzvk630LS5hMxipvq6e4JiTouPlPPd0I8VmE4+MTvDz7gEC4QhnK7wYtRqG7U4qcyyUWsxxIc5Dhw7FbdL9/f2SGXp+fr7U6i8YjvDo+CSRqMA11eWMO1dYcHk4VlKIzWhgbW2N3z7+JPrsbG47dhyNZudL0OrSGt/45x/i9wbwewJ85P/el/Rzy/MrrCysEvAFGekY3/HxZmdn6evro6mpiZKSrV0Y4ErlL9FQ3mw2S+c4U+0So9Eo/f392O12qfDq8vQsT07O4A+FuTQ5ywuPHkr7cdOBYDBIV1cXOp2Oc+fOoVQqWVtbY2lpifHxcck9QjyHJpMpLab82dnZZGdnx6lpDoeDjo4OAEk5FTtZib8nont+kZ93D5CXZeT1Z46j38V9vhPILacVMlPUtFtEIhF0Op30AvTLX/6ShYUF/uM//oMf/ehHvOIVr8Dv93PLLbdwxx13cPvtt1/hKLMdqNXqq8oSbq9xQEhliv0mpKurq7S1tWG1Wjlz5syOFpJMK6SJpFG03xkbG+PYsWNJQ5Iup5vxnikpnB6NRDnz3OOcROBbl4eJRgXC3uC2ibRSrSL3SAnv+sJfEgmGqT9dc8VnEouaVldXaW1tJTc3l/NHjuAdGMGk03G+ooSZVReRaJTplTVCoTCEowRXvazMOvAGPGTptJw71kTbzHq4pyE/jyJzFjOrLpY8XsJClEgkSjAcRamA1aO51P+/F3P7kXqOlxbRMTPP/cPjOL0+bEYDVTYLD41McGlqlkMFubzh7Im4DVahUOBTKPEbTZQdymN40Y46Gsbj8Ujej3l5ebjVWh6bmCEiQI5Rz+Pj00w4l1n1+7lYmMsjrW30BwVUnhCVS3aOl+x8cdab9eTXFrAwvEDjhboNP1faUMyffehljLZP8PK/e+G2jyMIAmNjY0xMTHDixIltRQlikcxQXrREGh8fl86hqMSlY/OORCJ0dXXh9Xo5d+6clLbSkJfL0aJ8XIEgx0vluUH6fD5aW1sxmUw0NzdLBEs0Ta+vr5fcI+x2O2NjY3HnUCwuS4cpf2KXKtEHs6+vT3JW8Hg80kvFvMvDzDPRjbVAYM8JqdxySJM5IsgByarsCwsLaWpqoqmpifvvv5+2tjZ+85vf8LWvfY1vfetbPPjggzs+3tDQECUlJeh0Os6fP88nP/lJamqu3Cv+VHFASGWK/SSkYmFNbW3thmHJVMffK4U0HA7T1dXF2toaFy5ciGt7GIsHvvcIf/jB41Q0llB3ooq88lxe8Fe38cD3HkGIREAA5/QKixOObXXaubu7n4dHJzlRWsTrzhzfcM7i+RBV3Nhz/Lymem5rqEEQBBxeH2VWMxPDdsaHlvCtLVOjVVOgFaipraWhspL6/FwcXj+Ty6tY9FpC4QhmvZbTZSWUWbKJIJCl1VKTm4NBo8EVDBKMRBhacvC7gRGcXh/HSgq5rbGWQ/l5PDgyQb7JSH6S6lJ/KMzPu/uZW3OjV6txen3kZhm4taGGa5qacD+j/K3MzhCwL6E3GFF63Fi0Gtb8QX7b1c/MsJJbTp5gcXYRbzCEPkkleiAcZtUXIM9kRLlZG1Kvjycmpin64HOo9wu88M5rNvysQqHghe+4LZXLeAVi1cXEdprJEIlGsXu8WA16dGo1a/4AS24P5VbLFaHb2PSIaDQqpUcMDg7GWSLttDAqFArR1taGQqG4IjUiW6/jo7fftO0x9wput5vW1lby8vJoamra8DmMdY+IPYexxWWJXbe2a8ofS6ISK7kDgQDz8/NSXrFKpSI3N5fKLBN3HKqh0JxNftbeF7XJjfzFKtJywkaqrc/nw/CMtd7p06c5ffo0H/zgB3dlxXj+/Hm++c1v0tDQwMLCAh//+Me5ePEiPT09O37J/WPDASGVKfYqhzT2GNFolMHBQaanpzlx4sSm/cNTHT9ThDSW7IrdfVQqFS0tLZvm5WVZssgyG1Cq1RRU5HHiOUfRaNXUHKvEkG3A7w0QDUf5zj/9lOl3uGm8qYmmwq3bYo47V5hZWcOq12/oSSj6so6MjDA6Ohqn4kajUdwePyqVAgUK8k1Z3NZYx2W/FvVKlKwKG7ZsL0eOHpHCxYIgcK68mLk1F09NzRKJRsnSarEYdOg1Gk6UFpGbZeT6mkoqbVZWfX4OFeQyubyKWqWkNs/GK44fpjB7XeG5rqaCI0X5WA1XphsoFKBUKFArlVgNOvzhEF1zi0yvuHjd6WOcqSghNzeXhoYGzj9Tcb7scGByOIh6XIy7/eiK8nllXh4vz8/HHwpTbI63dopEo/xf1wBTKytcW1PJhcrkoTGXP8CPOnoYWHQQiUaxFeSzdYLFeoj/999+mIrDZZy5LflLQyzEwqtAIBCnLm7mOfn4+BSPjk+hEOBIcQEzqy4W3R6urS7nxrrqDY8lttvMzc3l0KFDeDyeuMKoZJZIm0F8JoxG4xU51HLHTi2pkp1DMX93aGgIvV4vFZeJ3rupmPLDxuqpTqcjPz+fsbExrrvuOlZXV9d9T+dmMXm9qINeJoV1W7W9tBE6IKSpYaPKf4/Hk9QUfzd2bnfccYf0/5ubm2lpaaG2tpZvfOMbvOc979nxuH9MOCCkMsJ+5JCKC0UwGKSjowO/309LS0taOlTshe2TaEVVUFCQ1H8zETe8suWZQqZf8/BPn2RyYJZjNx6hqKqAc887xeKUnRX7Ms6lNX7xaAcPaD28ueU0x0o2r0h+0dFGyqxmjhYVbrrprK2tsba2xvnz5zGbzVIoa2LKwQMPDeDyBDDoNBQaNdSV5XDkRBWR0DJraw5OnzoT1wVIoVBwtLiQ1pl55tZc5BiMlFiyKbWY0ahUvKS5CbvHS7l1/e/kWACoy7Nx17HDaNQqiYzCejvN2L71IgRBYNUf4PbGOvyhMGVWM4+OTdK/4GBuzYXD64ubkyU7G0t2NpHKSlQdHRzyBgmgJOzz8OCjj3KotIS8vDwiWYa4BT4SFVj2+XB4fKz4/Buew1A0ij8cwaTT0lxcyMXq8jh/1I3wk8/+inu++gBGs4FP/f6fKajI2/CzgUCAh596GqNOy9kzZyR18eHRCXrml7iuppIjResvbKFIhNbpuXUHBI+PEfsyyz4fS14vJq2OqCAQimzvxUysAK+srNx2YVSq6qIcYbfb6ezspK6uTios2SmSVdHb7XbJe9dms0nnUHzZSFRPU7GVEsPjSqWSnJwccnJyqKurw+fzSab8Y2NjaLXauJammXxJOCCkqWEzY/xMd2nKysqiubmZoaGhjB7nasIBIZUpRLKYyQ4gImF0uVy0traSnZ1NS0tL2ky9M2375Pf7uXTp0rasqNQaNdXNFTRf18jy/DJN5+tQqZSYcrL4my/+JcFAiN98914mph2MNdgQnvnfVqjOzaE6N75lZCi6hic0gkFdDuFsJicnn7GtOU9WVlacTY3D6WHR7sbu9IA/SHfXOF0WPXU3VFDaXMDFlgtJw7YWg547Dzew4vPTWJCHXqOWQt1mvQ6z/spKeIVCEdfHfSt0zy9y3+AYNqOBV544glalQuuFCoOJbLOBYyUFV/yOaLmlVqt5x523MehcRqtUUahVxfU5F0mB2KnnjsY65tbcNBZuTBZtRgMvPHKINX+AxoK8lKuYzXnZaPQa9Fk69MZnz4t7xcP933kEBLj5z64FjcAvHnmcHo+f2rIyTgIaIByN0jW7yIjDSV6WUSKko44V/q+7n9lVF8dLijDptLj8AYwaLS9pbkSpUFCbt/N2ohsVRk1OTl7hGxsMBrd0AdgvRKJR7h0YZWbNxS0NNVQ+84IkYn5+np6eHg4fPkxxcXFaj71RFf3c3JzkSSmSU9GDNFloXySnseppKBSSLN1iCZfBYIhrRiG2NB0cHCQYDF7R0jSdkFtRUyQSuUJdlgM2C9ln2j84EAjQ19fHddddl9HjXE04IKQyhfiQRCKRjHV9UalUrKys8MQTT1BVVUVdXV1aN7BMFTVFo1FmZmbw+/2cPXt2R/k3t77+Bi6+6CxZ1mcXnUg4gj5Lz9EbD3E4GgVbHuGoQHPxlYQLwB8IMTnlpLjIQnaSqvpF3304A0+jiVYw39OETqtjZS3Kz37ZRV5uFrfe1IRSuX6eDtUV4g+E8fuDrDnddC/MsLo8j0JZxrlz5za1HanJ3R7ZGVpy0DG7wNGigk2JnwhXIIjT60WtUhIIh7Evuei6NI0tqOSWI9UUJ1gGuVwu2tvbycnJkVTr2OIlsc95sk49+fn5HMrLw5KESMeiahuEWsRL/uYOGk7XUFidjznv2TnPjy0y3DqOIAiUHiliDSdas5lIWIHT58cTDGHQaFArlbRUlZFjNHCy7FnClPNMioMrEGTR5UEQBArNJu5sqttSWd8uEguj/H4/DoeDpaUlRkdHiUajWK1WybdTTqH6NX+A3sUlZldd1OZa4wjp1NQUQ0NDHD9+nLy8re/J3SCxij4UCkkKdEdHB4IgSJ3LxH7om4X2FxcX0Wg0EkHdyJRfJJ/19fWSemq32xkeHsZgMMS1NN0tcZNbUZPcFFsRm4XsY6NR6cD73vc+XvCCF1BRUcHi4iIf//jHWVtb4/Wvf31aj3M144CQygixC4i48IXD4YwQUkEQWF5eZnl5mRMnTmTEJDsTRU2hUIiOjg7cbjd6vX7HyeBT/bMsTCxx7IbDOGadDDw9wv3ffpiyQyVc/8azCAgcKUpORAFCgRA/v7uVJ1onOFRfyGtfdhb7lIOKw6XSAqdUaAkFoizMzVFZegtGg5Gh0S6m57zrlloP92K1ZFF7soqsLB3Nh0sYHl2ioABUfz5PNBzk1AUFUeUqkL5N+rHxaTpm5ln2+VMipCdKitAoleQYDVgMekLeMAaDBq1WRYElPg9U9OmsqKhIarkVC6PRSGVlJZWVlYRCIamdqWitk5eXR7bZSn5eHkbjxi1qU4VKreLYjYev+PeS2iIaz9extrbGgmuWY6easeYXUDQ7j0WvJy+mKOVkWXEcGQUoyM7iTedOcf/w2LrTg2MZgBzjzlpRbgd6vV4qinI4HNTU1BAKheJ6xYvq6U5bY6YLFoOe06XFFGdn01Cwft/F+qOeOnUKq9W65/PSaDRxVfSrq6vY7XYmJibo6elJas0l5pOKBW8nTpxApVKlbMof29I0HA5LLU37+voIh8NxLU03a8+8EeRGAOU2HxEbhex9Ph+lpaVpPdb09DSvfvWrsdvt5Ofnc+HCBZ544gkqKyu3/uU/ERwQUplCXMQyoTCKxRoulwubzZaxji1KpXJXVYmJ8Hg8tLa2YjQaOXLkCN3d3Tsaxz7j4B9v/wR+l59r7zrP/Ogic2OL+N1+3CseTr/0KDrzxoqkfcbJR173OUYnFwkcq2BuboW+L9/L/PgiL/ir5/Laf74LQRDwLdbjmFymqe4iZSW1zM3NUVJkxJZrwTO/zNM/v4xKqUSfpWdlcZVff/9xls0G9JYId74yH511huXIw0R8y5Rn/Rkqxe5JGUBTQR6uQIDDhakVrRm1Gs5WPLs45+WaePGdx4lGBWw5z+ZZTU9PMzAwsKOQq0ajiQtLr66u0jcwwc9/8wQKwlzXUkVFeXFctXS6YMjWc/i5tYyOjtLc3CwV811TnXoOY12+jbp8GzOra/ykow+1SrknhFS0Opuenub06dMSoYvtFb+wsMDAwICkQMeGpfcSSoWCG+qq4ube398vtfUV7ZP2EwqFQrKVqquru8KaS/Tmzc3NZWFhAbfbzdmzZ+PI/k5M+WNb+YoFbfPz83EFbaIp/1bXTSTFciKAciWkm/WyT3fI/vvf/35ax/tjxAEhlTEyURQkkjq9Xk9NTQ0OhyOt48dCpVIRDAbTMpbdbqe9vZ3y8nIaGhpwuVw7Vl8f+N5jrC6uAdD5YB96o5bVxTWEaJRwOIq10IzH49nw96cHZ5kbW0DwBAgFvQQ8WSxO2fG7A4x3TRGNRunt7WVsfJbc/LNkm0qkXGCPx8vIxBrB1SCaSBRrtoFIOMK//fnnca94yKrO47a/fxFNpdcz4PwfOjtdWI1rlLREUaXpaT1XWcrJsqL1QifA6fXx694h8k1Gbj1Uu6ndkgir5dnFWmx7Oj09zalTp3Yd6hJJQXa2F412AY1GicFoweFwMDQ0hMFgkPJOdxveFASBgYEBFhYWOHPmDGazeVdzL7WYecO5EygVCky6zHZhEruoOZ1Ozp49G0fUE3vFJwtLx3qe7lXHqNi5d3d343K5riB0ckKiNdfKygqLi4v09vYSiUSwWCwsLCxIL0rpMOU3mUyYTCbpuomm/F1dXQiCENfSNNl1k2MBkdzSR0RsFLL3+XwZL2o6wJU4IKQyRroJqRgOLSsro6Ghgfn5+YxW8qcjh1QQBCYmJhgaGuLw4cNSGGU3BVMqlVJyNGhqqcevUDIztggKJYWVeVLoLdlcFt0eKk9WcfLFp3mobRhFXg6aoIDf7ScajXL4ugYuXbpEKBRizZvNo7/u5Tf3DfDSF5ygosxKRMjGsTzFzOwqEW+Qc415hHVRwqwT1iPHKnn5S86D2sniTA4DnWr0OhcG5X9SV3yR2urr05IbponZHB4ameBn3f3YjAYOFeRtKz8zEolIxOLcuXNpXcRrq/O45nwter2aE83lqFRKqVp6aWkpruI8Nt9vO3OPNY1PFylKVkiWbojtZsU86q3CuluFpZN1O0o3hu1OltwemvJzGenvIxQKcfbs2T0nwzuFUqnEbDYzOjqKyWSisbGR1dVVlpaWGBkZQafTSedQrKLfrSl/YuTA5XLhcDiYmZmhv78fk8kkOS6I6QTi2iUnQroR8dtPiNdgrxTSA2yNA0IqI2Sqn73YaWZkZIQjR571scxkJyXYfQ6pqDSKIb3Y/LLdENKCqnxsRVZQKrj1z2/gy3e3Ea0oxKRS8Jefei0BhTfp2JenZvl+Wzc5RgNv/9hrmP+PXzIx4US/sIg3sJ6a8IcfP8Ibrnk5p06dwnlvLx5vkPBamM6eGaaml3nsFz1kmw1kZWUz71mlY8iJ2thG3p3HUHtC3PqO56BSgVqZR2XhYfIKHsYzt8TXX+UHYZB/+K6BE9ef29H33ggVORaKs03YjAZyszYnZT63n/HuKepOViEoBNrb2wE4d+5c2omFwaDlmgvx/ekTq6XFNpKxxEoMS2/m+xgMBmlvb09qGi93BINByXf3TIwlVapIDEvHdjsaHR1Fq9XGdTtKh7LlCgT4Rc8A08ur1GkUnCvK48yZMxkr2MwExPOuVqs5ffo0KpUKs9lMeXk5kUhEspXq6+sjGAzG2UqJLzu7NeUXW1yKLU1FWynxXs7NzcVisUiflwvkGLIX1/iNCKkcUkj+1HD1rAZ/glCr1bsmjKIKtLKywrlz56TFCjLbSQl2R3hF26BoNEpLS8sVCpDYOnQntljHbzjM7X95MzqDluoTVaj+rxWVAvJrCsgrzWFu3p/0vCy6vSy6PUQFgbFpO6aohrwsI9e//Dru6Zgh4A9w6xuv5+TJkygUCm65qZEso4bpuWVONJdz/3cfpf9HjwJw6u234DHp8c07udw+SnFzFUXXVePy2PnJz0bJsVpobDzEjc+Z4u5vrxD0BlEAMwPLnLh+R6d0Q6z5A5RbzTynvoZs3ebq3ide8R8MXR7l+M2Huf4d6yHuI0eO7Es4LrbiPJZYJSpW+fn5khE6rKettLW17evcdwqxnWZ2djZHjx5NyyYf2+0oEolI3Y76+/vjiFV+fv6OCmwAdCo1BpWKkNtFTmkhJ0+elB1B2Qx+v5/W1lbJOzJx7iqVKmkeaGz+bmJjg92a8mu1WoqLiykuLiYajca1NAVob2+X1NO9NOVPBjkSUnFvSjYvr9cr2zSSP2YcEFIZY7cKqdfrld7oW1pa0CWQjUyb7++U8K6trdHa2orVat2wy0ysyrBdQpFtM/HqD7xE+nuTRc/84gqeUJDJvhl0ueqk8762pnzdEibLQHNJEZOnqlhe8XKiOZeyb9wVl1IgCAIatZJrW2qlzaQ937QeTgtH6fjmw5x8Ywt9v59kYcbJ2tAiRVo1jkARU2ENXf0L+PxhpsIFjNvOY71lmiMFedz0yvR61oWjUZ6anGHEsUyReZEzFSUbflYQBOZGFwj6Q4x0j/OKoudvq5OOiFAwTM+jA5Q3lpBbvL180/mxRf7w/cc4fPEQx25oivtZIrESQ/uiEbrYLWdqaorS0lLq6+tlpSJthbW1Ndra2igsLOTQoUMZmbtYtJOXlxfXMWp+fp6BgQHJrzM/Px+LxZLyHIJ+H7UhL0ea6rjm5HHZkZPN4PP5uHz5Mjk5OTQ1NW05943yQGMbG9hsNinNRFyXtzLlX/b5CUejFGabrlBPlUqlpHoXFxfzxBNPUFRUhMPhYGJiArVaHWfKv9fKtBxzSDfyRhULAg8U0r3HASGVMXZDGMUwTnFxMY2NjUkX0UwT0p2E1cUe7zU1NZvaBonfZyPbjs0gCAKrS2tY8s34A2GcDjd+l5eg20fPw/2ceekxfG4/X3rvN3Eve3jNB19KcU0hZr2eO480SOO8+M7jDAwMMDs7w5kz612URNU2EokQCkWYnV8lPy8bU5aOF73xRn72/YcJds0SdfkpUOkIHiljwOFCrVHxu6/+AY1BQ8mrrscViWJfLeKGm87hbO9B82cFNJt0PNX6lEQIcnNzd72xqJVKrqkuJ1uvi6ukTwaFQsFrP/lS7v/Bw9z+hpupq6tL/sGoAxQmUCRXW7/xwR9w3zcfIqfIyn889jF0xtRzLr/5oR9y6Z5O7v/OI3zuyU+gz0r+u4mKlcvlYmJigrGxMWC9PeXY2Bj5+fkZy5lMJ0Q7raqqKqqqqvZkvsmIlVgYJaZqxHaM2ih1YHV1lba2NqrLt9cKVA4Qu14VFBTs+CUgMQ9UbGwwNTV1ha2U2WxOWhi15Pbww64+QuEoLzhcT6V1vfgumXoqkr/EYiyHw8HIyAg+n+8KU/5MXxM5KqSbkeS9MMY/wJU4IKQyQjpySAVBYHJyksHBQRobGykvL9/ws3uRQ5rq+KJ9zdjYWFyP940Qu/huFz//r9/y5K9aOXVrM4duP0XPU0MIEYEIAjMjc5xTnmBx1E7v44P4XH56HxuguCZ+PqIfqthq1Wg0xnVyAXj8qVHue7CfXFsWf/WmGzAadLz5/bfxgw/djUaro/2xMeafGsKYa+Lc80/xyHcfxZKbzemz1YzPrpJnM3GsrISKXBt6tYqoP4TL5WLVvcrw8LDU6Wi3PpPXVFdsaXEkXh9ywrz7v9+6of+rItyKKnwvgqKEiPZVoLiSpDjnVwgFw7hXPAT9oW0R0txSG3qjFmuBGbU2tRcRhULBysoKS0tLHD9+HIvFIoX2x8fH0Wg0caF9uSk5YgejpqYmKf97P7BRYdT4+PiG+bsOh4OOjo60tALda4hEury8fEtP3VSR2NggGAxK+buTk5MoFIo49wONRrPelS4cIRCOEohECAnr6Vwb2UolFhAplUpsNhs2m436+nq8Xq+UexqbMyya8qd6/0eiUZTPuARs+VkZFjVtNqe9aB16gCtxQEj/P/bOO76N+z7/7ztsEABBgnuTEklR1KBEanrI27Gd7TjO3knTpJltkyZt0zZJk8407S9NGmfv0TjO8IiX5CnbGtx77wWC2Bt39/sDOohToiRSolM9r5dftkHggDsc7p7v5/N5nmcT40IJqSzLdHR0MDc3l6rYnW/7GxlPutYKaSKRoL29Ha/Xy8GDB7Fared9jVoVuBhC2tc4xPSwk/7GIW54543EJuZTfyvYmo8oilhzLFgzLRjTjNQcqlr0es+8lyd+d5SckmwOXXcAnU6HoijEojEan2gjGorScHsdU7N+xic8zLmCdPVOIcWc2LL1/L/nv8AvHmjmiX96ADmeIOwOsv8Nh7j5jYfR2EzkFmbi9UfIyUq2jNJEDX99+5fpOz2INdPKJ7/zAR7+12dQFIV7v/Cq1JxaWlpaqiqoVlrWA+p55fF4zusXKcguBHkGRB0QIRm6uRjv/sc3UVSVT82hSqyZF9YWe8c/3MPBV+6luKYIrW7x5evnX/4Npx9r5c1//Tr23rITSBLpvr4+JicnFxmvq9WjhTOTqhhlYdXvYmcm1wsjIyMMDAxclgSjC8Fqwih1flev12M2m3G73dTU1Ky7yfhGY35+npaWFioqKjbUuFyv11NQUEBBQQGyLKdI/tDQEO3t7YvcD+7aXklCVqjJy0a7gjBKJajhcBhBEIjH4yvOni405VfPf5fLRU9PD7FYbJEp/2qL3JFZD9959BSRaIK331zHzvK8FZ+n4uVUIVVb9lcrpJcfVwnpJsaFENJIJEJTUxPAiiKg1bZ/scKgtWAtFdhwOJxSDB86dOiClNoXq7R/1Z/eRn5FDntu3onDkUZBqYMhbxCz1cS1r9uPLEiMtkwwP+XBaNbjdwXgjNi742Q3X/vod1BicM2r93PNEU3qhjDRN8XxB04SCUXJyLFTu6uAruFprDodoyP9FBdmsG/fPnr6nTjn/JTevodEzxg1h6vZs38LbR0TPPN0DzlZVu557V70+uTPc6JvmsHWUWRJwT/v58kfPUff6UEEQWCux8PNb7uOeDyeIgSNjY2IopiqVjkcjouu+sViMVpaWpBlmf379y+bQ14KWbsPBAOKmAPCyguL7GIHb/mb1y96TJJlnh4YYS4Y4oatZeRYVq5O6Aw6aq/dtuxxr9PHb/7rESKBKL/+ykPsvWUnkiTR0dGBz+dj//79K95gVpqZdDqdTE5Opmx1VJKv2upcDiwk0vX19YvEiJsRS+d3e3t7mZiYQKvV0t3dzezsbOp8vNIk/3xQLcWqq6svK5EWRZGMjAwyMjIWxYuqsbBqJdOt16TcD5YKozweD729vanOmHr9Xeh3ujTSVD3/VSLmcrmYnZ2lr68Ps9mcIqcLwxQGp+fpGJklEkvwmxe6XpaE9FwpTYqiXJ0hvQK4Skg3ES62Ze/xeGhqasLhcFyQalh93ka1U84nanK73TQ1NZGTk5PKPL8QXCwh3XZgK9sOJOcf49E4zikPICBrNOjTjMQSYQwWPRa7GbPVREaeHUgmEf3yPx5gusuJqNHgc/mRJQlFSVZqM3LtZBVmMj4+T+e8k4fGjxPNjnBLppHqymuoqqo6k74lo9VqKNtRzD1/85pk2pGiEAiE8QcimE16EpKMSs2LtxVw7ev3c/KRZsp3lfCqD93GWM8kGo3IriPJKEydTrdIcau2qHt7e4lGo6nWfnZ29nlJpQpVFGexWNixY8fazivRjixeuA3AXDDEC8NjzAaC5FrTViWkq8HqsFB7uJrOF3o59Op64vE4zc3NKIqyZkuqhTOTqq3OwnbqepH880GtSHu93mWG95sdiqIwPDzM9PQ0DQ0NpKenp0j+1NQU3d3dqUq+mhi1mWZKp6am6OzsZMeOHRuWYLdWmEymFd0PFsbCqmTSbDan7gPl5eWUlZVdlCm/GqZQUlKS8vx1uVx0dHQgSVLKlL8qP4PakhxmPEF2lp3/OG1WUdNqCnvgZfW7+2PBVUK6iaHRaIhGo+d8zvj4OF1dXVRWVlJaWnpBF/eFwqCN8GE8V4VU/dxVVVWUlJRc1E3pUrxIF0Kj04IAglZE1Ag4B12ceqAdq9nKmz7zWkwWI089+Ayjg+NoJD0anRa9UUdGnp1Hvn2UuptrKdiSh81hpe7ug4w/0kw/T+IMmElIMJc1TU7Rzal93F6dh8GgxZJmOENGw2hi93NguxdL2mGys0sxm84SKI1Ww8fv+8Ciz/zV418453EZODHKZP8M+++sw5qTtqjqZ7VaycrKIicnZ1VBj9vtpqWlhYKCgsuiRs8wmajMdmA3GSnLsF/w60VR5G9+9QmioRiKKHPy5EnMZvOqLg1rwdJ2qkoIVJK/ETnxiUSClpaWlGn8WhcPmwFLU6/U0ZuFJF+t5M/NzdHU1LTizKSKcDzOi8Pj5Fgt1OatLeb2UjA+Pk5vb+8FjUf0OV14I1F25OVg1G3c7XSlSqbaEent7UWv1xOLxSgqKkrN6l6qKf9Sz99AIIDL5WJychK/389d1VaMliJKCvPO22WTJGnTec6eKzZUEISrtk9XAJvrDLmKRThXhVSWZbq7u5mammLv3r2rikzOhUuZw1wLVppRlWX5jDJ98qI/t4r1EGXpDDp2v6KO539xHHOmBUVSmB2ew+8MIKcpdJ/s53//+7e4p7wQFxmNKkRtZtIy0jh1shddREKr11C4NZndnumwkJGVhl47S/6IhvmZNCb60zgmDPH6O5KzaLICmXYzjjPzk4I8iyD3YTX62LdzL7I285L2yT8f4MTDTUwPzGLNTOOmt1y7rOqnmsmvJOhRq0RVVVXnFMWtJ/RaDffs3o6sKGguolof9IaQJRlFK9N0av2tkURRTLUuq6qqluXEr0fVT/Xe1el0LzvT+IVRoOdKvVpayV86M2m321PE64mhcX7Z3EGm2cTf3X6E7Ausml8IhoeHGRoaYs+ePctm78PxOBNeP0XptkWkcy4Y4tetXbjDEeKSxKGyy/NbWVjJLC0tZWZmJjVvOjs7y+TkZOpcXTgicamm/FarFavVSllZGbFYLFU9bT8Taaq+Z2Zm5rKOxMupZa/Oj26myv3/Fbx8rnj/B7EaIVUTQxKJRErhvd7vsR5QL0AqIVWV6eFwmIMHD15yS2S9jP1dTh9SJI5ndI6epiG2H66m5qYtGCQTv/7+44RnA9htFtyzXiKhOBh1zO0vYrjIhDUic3N2Oi+eHMSWbkRn1bG9Ko2p0T2UDA4h9buJ7wBfeBBFuQ4QeejRNkZG52nYW8K1B7eiiAXImoMI+JHF6jV/7rjsxRtrQa/JwqbbnnrcnG6mYmcJBqOekprFM3BLq36qV2dXVzLK0Wg0EgqFqK2tJT8//5KP7YVAEAQ0F3ETGO2a4G/v+icioShVR8p482dft2E+nbByTvzSqt/C1v5aiKVq1p+enk5tbe2mu3mfC4lEgtbWVmKx2AVFga40M6kex4GBAUYDEeR4DEHWs1FHQ1EU+vv7mZiYoL6+HpvNtuw5/9vcSfv0LHsK83jz3p2pxw0aDSa9jpgkY7pCSV+zs7O0t7dTW1ubcj8IBALL5qBVkq8ulhZWTxda1V2IKf9Cx4WFpvxdXV1YrdYUIbZYLJuWkJ7LFP8qIb38uEpINxHWMkO60DS+vr7+kqsoG0lIF86oqgkzZrOZgwcPrsuIwMW27KcGZzjxUBNb9pSx49ptHLptFwPPdqHTaxltHWGoaYCwP8LRxj48DXloAmnIL80kXyzLCNE4kXCIUFxEUkQefWEA15SbaZ0CWoWbjzi499bXMxr7NaX145TWzrBtRwxJCSMoZubdIVzuIG53clYJQYesv+OC98MdPc105CFMmnxMmgJ0oh0AjUbkFe+7CSkhLVOiL4QoiqkblZroNT8/j9lspqOjg7GxsdTc6UYlvbim3PzsHx8gu8jBG/7yVWg0F37TGmwZxu8OIsUl2h7ppbjoFNv/veb8L1wnrFT1U9XmbW1ti1r7Ky0eVXuhyzUesZ5QI1hFUbzkqq7JZKK4uDil/q6dc1E+OIQcCNBy4qVFUZzrIYxSFIXu7u5UNPFqC2R/LEYgFiMYiy963Go08Pb6XQRiMYrSlxPZjcbU1BRdXV3s3LmTnJwcYHEls6KiIhUvupJ3rMPhQK/XL5slXcmUX8Vq1VPVyqqiooJoNJqylRodHUWj0SAIAlqtlkQisWkq/6u17IPB4FWF/RXC5jgzrmJFaDSa1EoVYHJyko6OjvOaxl8INtKLVL1oOZ1OOjs7KS4uTgl71mv7F0NIH7rvCV74zSkKK/OorK/g9nsPEZpy03ysg0e/ewyPy0tgPkR0ZzYJuwFFIxCUJErzMnDPelFEENtmiTsDaDMy6JdGUYJh4gXpiHqBcGSU50aO02EwYqsu4sbdrRTa9qEVky36226qYXzCTXXlWTFAskoBorj2Y2PQODBqctGJDkRhcYtUEIRzktGFiMfjtLa2Eo/HOXz4MEajkcnBaZ6+/3lGrBNkbLViNBpXjOG8VPzhW0c59tPn0Rl07Li2ekUF/bmgKArZ2zPYcriEweOjCKKA0XLl5i4XVv3U1v7CWT+z2byotT8/P09raytbtmzZUHuhjcDCOM01i97WCI1GQ15uDq/KPTu/ODc3t6zqd7EWZ6pwzOfzsW/fvnPOC96zazt1BblUZS8fL8owm9BqROZDYRxpaycx/kiUrtk5iuw2Cmznt7lbiomJCXp6eti9e/eKY0+dM06C0Ri7C/JSi6WF3rEjIyMpU/6MzEzSMx1kZ9hXNOVf6K+8luqpwWBYZmXV2dnJ/Pw8zz77LOnp6an2/pWMNL3ast98uEpINxkEQUjGS3K2eqkoCr29vYyNjbF79+7Uang9sJF59uoPWm0prbeFysUQ0vHeSaKhGPYcG7ll2Tz6vy/x4y89gMFhITI0Q9gdTD3X1OdG1otofTE0niiRtBiRaBw5LkEghnU+DLvT0WVo0YUS5KQrZJRFeOs1k/SGi8mx5JNns7HD/jqyTPtS2y0uzKC48OycWjgc48FH2wiFYtxx6w5yshffoGZGnPzvv/6ewso8XvvRO1LHNV2/G6OmEK1oQbMgFcnnCqDVazBbzz+Ur9pumUymRRWunpcG6DjWR25ZNje85npGAx6C4SAz7e3IsozD4UgRq7VWu71OH7/5f38gtzSb299zA4IgUL6rBGOaAbPNRF7FhZ3XsizT2dmJ2+vm737xF8wNu5nom2b/nXUXtJ2NhNlspqSkhJKSklSEpNPpTFlpSZJEcXHxFTW8vxgEg0EaGxtxOBzU1NRs6M17YdVPnYNW7ZBUizP1fMzMzDzv+ShJEq2trUQiERoaGs4rHMuxppFjXbl66g6F+daLjYTicd5Ut4NtuWsTQ93f0slzQ2Nsz8vmI9ftR3cBZH50dJSBgYEV510BJn1+7m/pxB+NoQD7zySwCYKA0ZyGOUNkX0UF8ViMqZkZftbcwZTHx8GcDPaUFpOVlUVmZiZarXZVYdRqpvwrRZpmZGRgMBgoLi7GZrOlqqdDQ0OpGXY10vRyKvHPZft0tUJ6ZXCVkG5iqBXS06dPp+Yu19sbbaNa9ipZANixY8eG3HAvlJCGfCHu+4sfMzfu4sAr9/Kmz7yOD736XwlOuwl6gyiisGhWTROMYzsxDYDeZsKca0vOm6ZbEGQZjcVEyfZctpalsb2klAMHm8lweAiGdlNQfAPbCg1kW8znnS9zugIMjbgIhWOMTbiXEdIHv/E4x376PMY0A7tvqKVi99lKmkGz+AbY+lQn//7e/8FoNvCFhz5NTsnqN0i1VZyXl7ds5rJgax6FVfnklmXz3OwMT/QNoREFCu02bigpJk1QUlUWNaFHbe0vhWfWx9O/OE7LU520PtWJ3qhjy54yKveWc/i1+9i6txyz1YQlY+0zxQuruqo/qmWHhbIdl0dYcjFQIyRzcnIYGhpieHiY3Nxc3G43Tz/9NHa7fVHS0WaFet4UFhaydevWy15J0uv1Kwqj1BGJhcdxaaUrkUjQ3NyMLMs0NDRc8uiQNxLFHQ7jj8aYD4fX9BpPOMKJsQkm/X7y0y2IF3D8VPHV3r17V/WmNWq1mHQ6FAXMC/ZPlhV+9VwHIzNurqkt5YZdFVgcWSRMaSTiCuacPDQaDX19fYTD4WW2UqtVTxcS1NVspdQZ0qVWVmqkaV9fH9FodFmk6UZCluUV552DweCm/v39MeMqId3EiEajRCIRrFbrus1dLsVGtOxVtbAsy2i12g37cV/MZ0/EE0iJGFpO0vxQI3JGAYpJD9E4Qji24mtkgwZXQw5z0RhmuwGtJwxmA2KRA9mg4cCRegKdrfzoH53klgpMjbooqW3ilR+6dU2t7fzcdPbuLiYUjrOlfLG9zW+eaqQ96EGfZiAjN52sorPtOSkh8V8f/Db9TUO871/eyp6bd9J7epCQN0Q0FGW0a2JVQjozM0NHR8eqkY7V+7ZQur0InVHH3zxylI4ZJ4IAzmCIHEsa796/hy1bthCJRHA6nTidTvr7+zGZTClyqhpp9zcN0fhEGwF3EK1eg8lqJCP37M30XKR5JaghEAaDYcW5xZcebOTXX32Y699wgLs+eOsFbXujsdQaSRXRqIIep9NJX18fJpMp1ZK22+2bRhCiRoFulhGDlYRRTqeTubk5+vv7MRgMi0h+S0sLWq2W+vr6danGlWSk89od2wjF4uwpPLc5vApZUShIt4EgcMOWsjW5SiiKwuDgIGNjY4sstVZCptnEew7sIRSLU2Q/O9s65fMz5HLj8Yfom3Ux2xSmJjeLWyormA0EubaihKw0M9XV1Xh9fsYmp3G5XKnjqJJTtZJ5IbZSkiStqJFQyaeiKKkgAPW7M5lMqb9f6G8gIcloxHPHmq4magqHw1ctn64QrhLSTQa1Za8SBkEQ2Lt374ZVIda7QrpQdLVz506effbZDRsJuNAKadAbTgp9tHEKivvpflEhdNqDGIqixBMIKFTvCZGRnaDxGSuxiIgiCMSzTRjaZxGjEpJJh2zXoRhEjF4/87NRxid9zDYGGOlLp7tLweeZxRfs59Z3HcFkWUV8ocSZmw+RSAjk5dqoryulb2CG3z7cQn6ujZuPbGN2xs1Pjp7ElaFwzUeP8Jk/eTVm29kL5dTADKcebSHkC/P0L15gz807uemt1zLeM4k108KuI8uFPYqSrGwODg6yY8eOc45/GNOSrUyb0YDFoMduNFKbl01D8dlqt9FoTAlRVCNttSWtKEpSgJKpo6SmAEuGhZ3Xv4Xc0iwcBRdnbeX3+2lqaiIrK4tt27YRC8dTogkVP/vHBxhuH2OwY4yiO3ewu+TyugWshnNZIy0U9Cw8jm1tbYtGJFQhypXA9PQ0HR0d1NTUbNoRA5PJlBqRkCQpRXDa29uJxWIYDAYKCwtJJBLrQkhFQeBAadEFvSbTbOLtDbvxhiPUrKHFr6Z2TU1N0dDQgMVi4Zm2IdqGpzmys5wdZcuJcKbZRKb57Pk1Hwrz49OtzGui1G0vwC/HebxvkFGPlz+/4dDiKrIk8duTfUy5/Ny6t5Ibdu9mfn5+UbzuQoGZeh6vVj31eDxEo1FEUSQWi61qyr8w0jSRSKQiTbu6ukgkEosiTc8lausec/LQyR6Ks9K5+9raVQn/ai37qxXSK4erhHSTQbUhGRoaoqqqiq6urg19v/WcIZ2enqatrW2R6GojRVMX+tk9s16ioRieuTgP3GfDPx8nOBkAkhdje1aCN31kFqtdQqtTePYhO1J5LoJJhzg2ixCT0IQTyHoRKU1HQkwgzHrp6XOSX1PMnsIM2kbdBAamsW3JW5WMCtIwUe9PGe+bJxrXoIQrePDparp65ghH4lSUOdizuwSrxUQeOuSExLYt+YvIaDyWYKhtjJKaQtzTHq6/5yAAmXn2ZSb6KlTvWqfTuag6dz7cvXs7pZl2dhfkUpu3OoFdaqStqs3nAnMU35hNpiMTS44Rk/3iFNIul4vW1lZKS0spLy/nD985xg//7pds27eVv7n/kymF/oFX7WV0cJpYZQY/am5je2EOOo2GuYl5zFbTouN4uaBankmSdF5rpIXHUZbllKXOwhEJtXp6uUQhY2Nj9PX1sWvXLrKzN96kfj2g0WjIycnBarXicrlS8a9LY2GzsrIuShh1KSjNSIeM88fBqk4Ac3Nz7Nu3D7PZTEKSOdU3weDUPOlpphUJ6VLEJYmYJKHVilQXZROXJLzRKNU5jmX7HY4lmHEHmJr3M+sJoNEUpLoeiqKkkremp6dTHrwLbaUWElOfz0dHRweVlZXY7fYLMuVf+p4ul4vp6emUOHClSFOA/kkXA5PzhKNxfKEoGZaVf++rqeyvzpBeOVwlpJsMLS0tuN1uDh48iMFgoKura0Nj19ajQqooCgMDAwwNDbFr165FkXsbKZq60AqpPddGLBzDNx/C6xQAHSoZFQBFgXBQRNQouJ1a0AooZiMYdCBq0USiKIAmJqMN+DCWyhgrjPQNzDJr1vOeN+8ncz7EA1/4FT2PNHFy/xb23VGXev9YJMYLvzuNI3sUR9E4mZY5REGirV1kZNSKVmskP9fG9up8Mu1mNBqRL37kDThnvZRvK2B6aBa9SU9mnp3uF/t49HvH0Bm0fOyb76fmUNU59131ioxGo+c0Ll8JVdmOFRXG54IgCNjtdux2+6JW6lK1udraPx8ZmJycpKura1F17sXfnybsj9D1Uh9ep4/MMxGvb/7s65CuL+XpiXEKbFa0osizv3qJb3zs+1gzLfzzk3+LPefy2fQsHDHYs2fPmn/Lrsl5/vsj30dRFD70n+9iy8HkiITa2h8cHEy1Utfb/UCF2ioeHR1dVUSzmREIBGhsbCQnJyc1J71ly5YVY2FVUmXPyMAfT5BhMl5USMN6QVGUpGjP7aahoSH1m9VqRA7XlGA1GajfurZKda7Vwpv27MAfjbEzP7lAqy8uwLSCE4fVZOCOhiqm5v3UVyYFUcf7Rvne8SYqsjL4y1dcQ3l5eSp5S61Cq10R1VZKo9HQ0dFBVVUVRUVnq8gXY8qvpn2VlpamxIEul4v29nYURUlFmjocDuq25OMORCjKsmFPW33xu1rL/mqF9MrhKiHdZCgqKmLbtm3o9frUD3W11sJ64FIrmIlEgvb2djweDwcPHlw227TRtlIXQkgbn2hncmAGRVLOPLKYBHldOr79xQJEQWFuWoeAgmZwEiQFIRpf9AoBBa3HizTeT0yqZPTZDj7//Se4/p6DGOISHqePkY4x9t1RhysY4vHeQcYeaKHtxy+iiFB57zbKtxmoKvfz9Kk0AmGRaw+X8apX7MRoODsrnJ5tIz3bxrP3v8TPv/QA1kwLn/zuB8nITSc9y4YggD1n9UqLb87Poz94Cuf8DA2v3MW+ffuuiA/gwlbqwpuY6o24mpG8oig8ef/TjA6O8qp337GoOve6j99JyBdmz807Fs2kArz5cB1HfFvIsSQriH2nB4mEosiSzMzw7GUjpKoaPTMzk5qamgsijD0nBhjpGEtWyV7qJ7s42apcKApRW/sdHR0kEolF7geX2tpfLQr05QJVfFVcXLzMJm9pQITH42Fubo6O3l5+3jeGV1K4rbKMN+2rW0ZOFEWhcWKK+VCEgyWFWI3rYzMWisWRFQWLQZ8a7wgEAjQ0NCxrUR+sKeFgzfLZbxXOQJDT41MU29NTsauVSxaVZv3qmoQdZXmLKq/HuofodblwhkKMznupyE6O3Oh0umUG+WryVigUwmg0Eo1G8Xq9qSr0wtlT9fp9Iab8qjgwNzcXRVHw+/24XC4mJiZSpvzXlDvOG/96Ltunl9u5/seCq4R0kyE7OztF4BZmzW8ULqVCqloGaTQaDh8+vOINcKMrpOf77F6nj+HOcaLBKINtwyRiiXM+f34meZFWAHQa0OsQPMEUEVXO/CPqBWJhgUi7F3miF4IRJEWh63Q/d73vZsZ6Z8jeXU400EzzyEs80WNFnHcTk2TiCkyH0smXt1CydSfWky9iSpOp312yiIwuRO+pQdzTXiKhGM5RF7XXVPP+f3krCMI5yVXLc+08ff/zpNnM3PaGmzeFKfXCm9hCI/n+/n7a2trIzMxMzUs+9/AL/PSvf4NG1FJZUU32G84S0roba6m7sTb1/4OtI7Q93cXh1+0ju8hBsf0sSb3rg7fgdfrI35LL1vqKy7KfHo+H5uZmioqK2LJlywW3hHdcu41dR7Yjywo7r1vuz6rRaBa1NdWEnrGxMTo7O7HZbKnqqcViuaD3V306vV7vBVfUNwPm5+dpaWmhoqLivOIrURTJzMwkMzMTrzGNie5RApEorZPTlL7wQkpgpgp6nMEQv23rwRkMIgpwc+Wln0/OQJDvnWhGkmXesncn7tFhwuEwDQ0NF7WweGpgmEe7ByjNtFPhsF9yktQ1W0vonZunwpFO0SqjBqpBfjweZ2RkhOrqarRa7YpVaNWeS73HXYopv81mw2azLbIEc7lcNDc3IwjCokhT3SLXgdVb9utprXgVa8eVvztdxaoQBGFDk5QgeVOLx+Pnf+ISuN1umpqayMnJYfv27atWfja6Qnquz64oCr/+6kM89+sTzE3OI8XW/jkUiwm50IFiNaPtGoVgBAWQ8tKRbUYSQhTzkA8UGZ02TLzEjhBLkHNLBdoShZERePGbj9PUleC2u0aoSK9C95o9PClE8RtFrNus3H5TDfl56XzwPdeRSMhkOVa29HJNuSmrLaL22moKtuZRfWArAPbcc8+gOZ1OXGEnZbXFZOdlk1e+8RdZRVHwhCOkm4xrsrNZaiSvzqdNTk3xqxdPMTcwjyBqQAFFWX1hE48l+OI9X8U76+X0Y618/vefIhKM8sLvTlFaW0TFrlI+8e0/Wc9dPSdUQVJlZSXFxRdnRWXLsvKxb75/Tc9dmtATjUZTLenh4eGU36NKBs7VcZEkiZaWllQU6Pl8Ojcb1GNfXV19wd7HeTYLuwry8EeivOfgXmpzs1KCnvb2diRJIi3djkGRyDKbcazTrOFcMMRsIEgsIXG8uYWKNOMl2VLlWNLItaaRk5Z2QR6nq+GGmnJuqCk/7/PUY19TU5OKHl5ahV5oz6Wek+os9KWa8i+1BFs4f60u0lSCmkgkVo0OvdqyvzK4Skg3OS4HIY1EIhf0mvHxcbq6uqiqqqKkpOSclZcrWiFVYlRsa2e4bAbnqHrhUThwq4/cohhP/c6Oz6UDFARBQatTiMfOXLw1IootDSQ5+Q+g2NJQMtLRjjvRCAoSCkKmBf0OE5V3a2gL7aN45zbMVisDDx8lOjHPE51m3Hl57CywcNIVxFVuRVIUZj1+TjWNUliQgT199ZtaLBLjV//2IDNDs1xz9wFufuu1Z3dPUeiZdSEpMttzsxd9D6Ojo/T393PopgO86p67EEThkuYLJ/qmee7+l9h5fQ3bD68+r/qbtm6OD4+zv6SAe+pqV33eakhLS0Or1fJS/yCPOb3EbVque28DRZKM5IjQ2dmZMkBfSKpEUUBn0CKIIgZzsqL0o7//Xx793lOY0gz8v5NfRrQZuL+1E1EQeP2uGqwbRLTUFJ3a2tpF89SXE6qavLCwEFmWU6Squ7ubWCyWmvNbGsMZj8dpampCFEXq6+s3xGpuIzE1NUVnZyc7duy4qGNfbE/nb2+9HlEQMJ6Zr1wo1PP7/TidTq6LRpjzeImMDTMQCaYEUxcrjNqalcntVRUMDA5SYjZeciz09RWlbMvJwm4yor1Mc7BOp5PW1tYVj/3CKnRVVVXK5kwlqHq9ftmCaT1M+dU5dtWiTq2ejoyMIEkSo6Oj5OXlkZGRkTre4XD4KiG9QrhKSDcZ1pJnv564kO3LskxPTw+Tk5Ps3bt3xci6pbiSKnvX6POUVzbz5j+Pk5a9jfbjMhqc3PpGNzlFMSJBDY/9MoO8kijX3ullZlzPsw/aAQHBG0TTOYwgKQiRM/6k8QSi043gDyMAcZMIBdm43RpmnjIxX+3nv58/hUkSyE4kQFaQJZk/DGfz0FgcIsMYvQqkCWTEYGR8nmgsgdmkx+0JMTQyR3lpFhn2swRVUUBOyMiSjCIt3tf+uXm+81IjkqLw7v117MzPTc39TU9Pk1Wxlfv7Rqnxhbhha9mKxyghy3ROO0k3GZPK35WeE0/ww8/9kpanOnju/pf4yvOfR6df+dLRNzfPmNdLxtzFKekDgQBNTU0IOgOCTgcJiaqbdnNvXS1ut5u5uTl6enqIRqOp1n52djYGg4HP//5TdL3QS/1tu898bgkUBVlWUBSZ/rl5To9PISCwuyCPujX6Rq4ViqIwNDTEyMgIdXV1ZGZenLXVemNhq7S6ujpVhZ6amlqkNrfZbPT29pKWlsbOnTsva2rOemB8fJze3l5279593vnBc2G12cqF7eEtW7akMtudTicjIyNoNJrUiISadLRmyDLpvnn25Tqoq6u75GMvCAK51tVDVEbcXgLRGNtyHOsi3JqdnaWtrW3NC4GFNmeSJKV+2+qCKSMjIzULfT5bqYUtfvV5S22lIGlRt3CR9tRTT6HVahkYGKCzs5Mf/ehH3HTTTcRisQ0ZUfn617/Ov/7rvzI1NUVtbS1f/epXue6669b9fV7OuEpINzk2mpCulTCqtjVqYtRaV5BXSmUvyzLf/OyjHLwuhClNw95r48wMBBlo0zA+oCcRg7GBZCUtHhPJzEuQkZ04Q0jPiJeC0eQcKSAbNchSnITRiEEQQCDZzh+cRlAUomkFUJ28AYRFGeeNRaQPpDO/NY2YqAACllkZw7yMRiuSyIuTnhagr7eL7Oxsnnh6hJ7+WWqq8njbvQeSO6EEMWlP8IaPbaGluxZbZQ5xSUq14NSLrqAoCAgkEgna2toIh8Ps27+fv3viOU6PTVHhyCCakHi4qw+7ychd2yupK8zj+aFRGiemGJn34kgz82fX7idrSR73Sw81cuKhJmKROCaLkYx8Oxrt6jew1+zYRpHdtmaT8IVwu900NzdTXFxMQ0kpIVMawViM27dtTcVDOhyOxa39MxY+VquV7Oxstuwr4/N3/zuRYIyPfP09lG4vonxXCRm5dggZ2J6bjSgIlGfaL/jznQuqPY9qqbVZRRELFcvqzN3c3BzT09MMDg6mqkoul+vCSdUVhJpgtFFOAO5QGE8kQok9PUXglma2ezyeVLCBmnS0MDFqNcRiMRobGzEYDOzatWvDFwKz/iDfeamRYDTGG+tqL9hHdSlmZmZob29n586dFzV7qRL5hQumubk5ZmZm6OnpwWw2n3VAOGOQfyGm/Cu19lVUVFSkvken08mTTz7J6dOnaW9vp62tjTvvvJMbbrjhkgnqL37xCz7+8Y/z9a9/nWuuuYZvfvOb3HHHHXR2dq4YTPJ/FS+Pq83/YVyOCun5CKOqFDabzRecGHUxefOXuu1YLEZzczP+QBo/+UohmblhsvPH6W+1ojcqnDxmxT+vYbQveZHxunQ8+AMH8ejZC5YCSNuKUdJMKF4Pvt3pIMsk7CYsbXMookioLB3H4yOQUIhbQBMBg0cibhEIl5oIly6+iAlxGTECIBOciLPjLbWYTMn2+sTEKKFQglAoQCgUwmw2IyZeQBP7FTpbDs8Kh/C0zxERFa7fkhRpbHFk8L6De5FkmTKbhVOnTiFoNNTuruPF8WlcwRAaUUBB4UenWxicc6MRReaCIU6MTvDL5g5ikkx2mnkZEYUkyWp7sZfRrgnKd5Xwxk+/mpKaQhQFjv3seTwzXo686XDKbgmgOsdBdc6FWUTBWdP16urqlEXMu/bXATDm8dI2NcPO/FwyzaZVSZXT6eT4r48y0DyMosCJxxp5y1/dnboRZZhNfOiafRf82c4HSZJoa2sjFAqxb9++l5UASK/Xk5aWhs/no7S0FIfDwdzcHA984yGO/6SRbddU8NZ/uJvs7OxNuV+qb/PExAT19fVr9ta9EHjCEf756PN0TjupK8rlMzdft0wktLAlvZBUqTZnaoLZQlIFyVS706dPY7FY2LFjx2VJ5FJQkp0XJdmBuRRMTU3R1dW1bv60C3/bZWVlJBKJlCNHW1sbkiQtGjdR55vPVT1dqbWvzqKqhLakpIRPf/rTfPrTn2b//v3cfffduN1u/vRP/5SZmRluuukmvvzlL7Nr166L2q+vfOUrvPe97+V973sfAF/96ld59NFH+cY3vsGXv/zliz5ef2y4Skg3Oa50y1615ikuLqaqquqCZ6Qut+1TMBhMXeA/+70P0fzgZ9i+t4sTj1k4/VQaWr1CTkGcql1hRvtMmKwSeoOI22Uk7FO3pYBWg2IxoZgMxC12Yg4DOr2Wsq1+ZivzCMQNCG6FxLZCiEskihyYpyUMboWEWcBTJYC44FgpCoIMaEGIQ8Ss8K/HT7O/qoiPX3+Q6m21tHcMEXK5eO7Z5xCMRiaUWXzxEtIMZvwRCRQNzkCQ9qlZcq1p+CJRKhwZtI2M84Unn0GHSF+nE7mxD7ciIckyBTYr4XgcVyCE+tWJAoTiceKSREJWMGg1vH7XNmxGA9FEguF5LzNeH8+c7mEkV2Hbbds4cv1uag5WAsmEqJceasQ76yOnJItrXr//or/DhclRK93UErLMT0630T83z3UVJbxzX92ybSy08Mm15/P0fSeJhqIMuWZ54LHH2Zqft25WSEsRj8dpbm5GURT27dv3spu5VKNAKyoqKCsrA8DhcPCLlgcJukL0Pj/M2PB4qpWvHse1eMduNBZWpfft27dhc3+heJzZQBBPJMLIvJdZf5DS81TY09LSSEtLo7S0dBmpUpO3bDYbY2NjZGRkUFtbe9mOZ67Vwrv31+GPRs8ZdHE+qN2J3bt3r2l860IxMu9hzOtjd34utQssnubm5piYmKCzsxOr1brIlH+prRQsr54mEgmi0WjqfWRZTr1GURQikQg33HADt9xyC1/72tfo7u7m4Ycfxm63X9R+xGIxTp8+zV/91V8tevy2227j+PHjF7XNP1ZcJaSbDJtlhlQlCn19fWzfvv2C1aoLt6+uRtcbSwmpavVRVFREVYUdTeAT3PjqdgQSvOKtbrqazAy2mandH2B2XE/ZtjDxuMDkoAFFUYCzwieDNo5mdoZQUQ7hEj2GYAJLvhGbSabEPkX/HwQiT/lQrFbkomy0EQFJD7JeQDKw1OIUBIGoQyTDbEDjk0nka5mOBnl2cJS37t1Jgd3G0OM9PPKto2xpKCf09lpOTYQIJJIXeq0wSabRwEsjY8Rlhaw0M5lmE+XWNF4cGcMtKWT/pBP9eIBIeTquN1Ynj0n4rGBNABQkjg+PoxuZQFYUBJIZ1597+CmMOm0ytjYQIBSJIUZkDIrA9roa0mvzmQ0EMWo1PO6cxLMjk/zpNIq3FaS2E4jG6HG6KM1IJyvNnIrBTe7+8pvtarnui75jQcBmNGA1GNYkQgp5w2cU+dDV7cR73RbKdPpFVkjq3OmlphxFIpFU5+DlOHOptlpXigK9/T03EvCEaHjFbq65/nDKO9bpdCZnfAUhNS+51Dv2ckC1pfL5fBtelc63Wnjnvt0c6xtiZ0EuhfYLq8JqtdpFvpk+n4+pqSn6+/tTKURDQ0NkZWWtKoxSFIWuMScANcXZl0xeKxyXNtagCvc2ioyG43F+eKqVMY+XW6sruGd37aIZ3oqKipTF09JzUvUzVheHS6uniUSCgYEBbDbbirOnC5OaBEGgpqaGmprlMcxrxdzcHJIkLZutzc3NZXp6+qK3+8eIq4R0k+NKzJDKskxnZ2eq8nCxK8PVtr9eWLjt0dFRenp62F5TTrHtfsTAjxc99/gfbPQ2pRGPiSiyyL0fm2G030jL81aVqS2Dwecj6NNhalYwjPog1wh/YufTr27h77+UzdisBsUnEc/OQBNRCOdpiGaqhFRAOxfG8tIkYhzCO3PQpJsREMhymJnNgFA8QNQv8fTAMG/eu4v2p7sI+8J0PN2FptyIXGEBJBQgrijMLCCXs8EQs8EQ3U7X2eMRiCMkZDSBla2wlAX/ji3o1YUTEsMe7woHQCCiCPywp5uf9HRTnplOQpIZ9voRdHDkSCk9mhhf/tVDJGSZqmwHLZMzjLo9WAwG9hbmMe71EoglePPuWl6xtYI0a5I4LGxzqz6X/XPznBiZQEYh32rh2ooSDFot79y3mylfgNKMdH76xV/z6HeP8ZqPvILXf+KuZR+5pKaQw6/bR+vJfhLXlKIIAnmFhRSm1xCNRlNpUWrKkVrxU/0l++fm2Z6bTYb53ARHTQDKyspi27Ztl6XVup5QBUCrtVoPvHIvB165N/X/q3nHqhY+a52XXA+o547q07nRtlSCIHBkSxlHtpSty7Y0Gg0zMzOpoAi1ejo8PIxWq11EqtRFTs/4HD94vBGAd99Wz7biKxffqp47Gync0wgiJp0Wk16HeZWuw1KLJ6/XmzLlb29vT0XsZmVlLfLhVUMk6urq0Ol0i6qngUAAl8tFMBhc931auohQFOWKdxk2G64S0k2OjawwqttfWGWMRqM0NTUhyzKHDh1alhByqdtfT6hkvauri8nJSerr63HofoaYWExGh7qMPPRDB0GvSCIhcvQBO3pzgt5mE/GogF6vYEhL4HNpUaukigKJsIKx34OsATGUQCPJFLQovFBYTjjoA60epcCBMctGotCA0QrBxBnyHZdx/KoH/XQIBAHjvEJieykhMcSwJUIgR48CCAp0d0zRbcnhbX/3Bj7/+n8nHk+gf2yAa//8JiJ2LY1TswSiSaX/uUa+5l+9FVOfm/C2dbpJnBFvAUhA//xZ0qoAJ8YmeHZwBHW5cWp8Cs2Z5/pjcR7q7k9uJibx7X/5Bv/rl/izr76LrMNlvNTaxtZ0K/sXtLkf6uzjmcFh/JEooihyYnSCv7zpGtL0erZmJffp0e8ewzvn59HvPrUiIdXqtHz0G+8jlpA4NT5JutFAYbrtzN90FBYWLks5Uv0lH3MFmIzE2J6frIJtz8umvmh5NKMqviopKVmWALTZsdAJ4GIFQEu9Y0Oh0KJ5STUWdmG2+XohkUjQ3NyMLMuX5NN5peD3+3np5EmKi4up3LoVQRAWKb9VtXlvby/RaJSMjAyysrKIxUVE4dy//8uBsbEx+vr6NjxGVq/V8L6De5nxB6lw2M/7/IXnZGVlZSpiVyWoWq0Wh8OB3+8HWGRppp6fwWCQt7/97RQWFlJZWblu+6LGqC6ths7Ozl4xW7jNiquEdJPhSrbsfT4fjY2N2O32dWtBbmSFVJbllPXKoUOHMJsMCJ6Hlz0vEReIhERkRSAcFOlvNfMzZx5SQiTdEScS0hD0aRGNWpSYRJpVwpYZJ6w14TpUSDAoknbaRYHFSsmeA7T1HScS8UNGGrLdhBCNYH6gj/SidP70X9/Oo4ODnBwaB60mObApiChaLfoXu1FMeuSDW0AU0AkaLLKG0RNTPOwVec3tOxF1Gogl0PjjjP39oxQerOATf3sXR/uGaJ2YRhYgGIuveGOK56cRz798/nmh+PKF0krftNYdQTMbIhyTue97f2B8ohCb0cB7DhUtIhQlRjOGn3QQ94UIvLaSQbubbx4/TUG6lVdur0Sn0fDqP3sFj33vKV79Z7fTfKyDn3/pN+y7o467P7mYnOq1Gg6XnTWkb5ua4det3WzNyuDNe5PnttWewVMTs0TT7Bwpzue5l5qQfQGaB4Z4EWhyZLDlNgv2BaMEMzMzK+ZzvxywUVGgZrM5Ve1T5yWdTictLS0AqTjThW3Ui0E8HqexsRGtVktDnRUtx5DlBhA3h73W+eD1enn8hZc4GYzjYJb3FxYtqsQvdJJYKoyan59nb54Ou91OtllcNPd4uTA6OsrAwAB79+69pK7ZWmE3GbGbLq4gsjBiV5ZlXC4XPT09Kc9ttTuTnp7Ozp07CYVC3HvvvcTjcVpbW9dVHKfX66mvr+fxxx/nda97Xerxxx9/nNe85jXr9j5/DLhKSDc5LkeFVJIkpqenaWtro6KiYl2rPhtVIQ2FQnR2dqIoCgcOHEAnDCL6vojI6LLnZufHkCQQRRmtXkSvl8nMjzPaq0NExJoRJ2zPIyHqEKNxEpVZ7L1xgoyqCA/Mm5lzWpC2OMjLL+b0qRFiIQMBIR1ZBqIJwoOzaMd9RFwhfvvN5/j0376OR7KzcOUW4ToxTlu3E3HMjeANIAZENHNB9H4d8TTwyzITBgXziItvffcZ4rICGpFYNE4iGqf7ZD/DLzTj+GkX2SNzaO6tIV5hJyqI+KNRArE4WlFAI4pEzlRnF8acroSlEwqrTCycEza9nkAsxlq+2Xi2mUB9LvqpIFPVFuJxCXc8xCM9/RyuKEkp/B0jAWJNk2glmZ2TEoUHHJwen6TXqWdnfg5bszK5+5N3pcjnZ277R7pf7GWodYRb33kE2ypJVwDtU7P0Ol14IxHS9HqqcxwkZJnftHfjCUfRa7V84vYbGHV7GZqd44mefnJ1Gk6+9FKq4qcoCuPj4xdtb3MlsTAKdN++fRfdVg/5w3S/2EdOSRZF1curx0vnJZe2UdV0HnWGd62IRqNn53V3bEUf/TKCMoqgnUMyvOWi9uVyQq2qazMdzHsnCbq9TPr85xwNWSiMisfjixKjVGGUSvTXW6y3FKqt1t69e0lPP3dC3GbExMQEWq2WI0eOpGZPv/71r/ONb3yD3NxcHA4HsViMp59+ekOcGj75yU/y9re/nYaGBg4dOsR9993H6OgoH/zgB9f9vV7OuEpINzk0Gs0iReB6QxWetLW1sWvXrnVvIWxEhXR+fp6mpiaysrKYnZ1NZiL7f4YoNyeZ1RIu3fy8hblJPbGoiMUmkV8a5fCb4/zg8wbCXhlLgQH8cZRYnESBg7DBSPdkDh+6pZ0J4zzhHhljY5j5jAiTp4aRPGGEqIQAaLwhlF0VkBZASTMx8Fwvn7r7P7n3z++ks9XLhFtGY7VCvoLo9KDodUh6PYaj4wSvyUKjFTFEQUuM7gdeRBEEzNtLuPb2Xbz0TAszVmBwjvneGaRwjJqRMDfsqmPnddvIKMzka195gN77m6h5VR3668s5MTbB8LyHMruVGwpy+XF7D6FEgnKbBVGrZcQXJCHLRCUJSVawGfQUpFvxRWNM+wJIS3xg1EMpCiAt+JNBq2FnfhGNE1OEE8u/XxGoL86ndXKGKDLe28qWPSchScwGgilCWr1vK5l5dmKRGNfdVsecQUee1UKu1ULeCibf++7cw2DLCNX7t2LJODfBOlBahDsUwRkM8tv2bvJtVhqK8pkPRQjHYwzPe7AaDNTm5VCbl8MN1Vsx63XIkoTL5WJwcJBAIIBGo2F2djZFCF4OLWM1CjQajV5yFOjx35zk2E+fJ6cki/f/69sw21YnVIIgpJJytm7dmkrncTqd9Pf3pzLis7OzF1khLUU4HOb06dPY7fZkTLEggZABig9F2Li28XpBdTKoqqoiPSubsFaPQadNjaGsBTqdbpkwam5ujpGRETo6OlJivaXzkusBdcRjo2y1NhKyLNPa2kokEkm16XU6HWlpafzTP/0Tn/jEJ/jgBz9Ib28vsViMiooKbrnlFu68807uvPPOdeuC3HvvvbhcLj7/+c8zNTXFjh07ePjhhyktLV2X7f+xQFAU5UqPpVzFAiiKQiwWS/3/0NAQHo+HPXv2rPt7JRIJWltbmZ2d5cCBAxsyEzQ7O0tfXx/XXHPNumxPtfuorq7G4XDw/PPPc+utt0Lwm2jC30DUnKnZLbgeP/O7dH7+XzkEfRoEDWRmx3ntJwP8+PtbcA6KBDOySSgiiagfcyCOvtAKTh9ZTPP2f9Dz2PczGG4T8JsMxEdmIb64LrjjXgPD8lZ8Q1GEjjFAQaoqQsnPXPxB1J9aLI4wNIVvh43058bQhhIU7SxlomUEFIVtrz/AX//nO/no4b/BM+2h7IYqjIkYobkIZrOJ0c5J0uwmDCYDAW8Ir9NHdpGDb7b9K2MeL88OjFCVk0VDcQFtUzM82tlH68QUoiQhygnCMrgTEjqtlj893MB43wx+JUFuSRa5FjPNEzM8/cAJLKN+zNeVk741m7fV7+Rrz56ga9aFSaflDbu386Fr9vFE7yCf+8MxogmJNJ2WTLOJPJuV2rxsbqqs4L+fO0Hj2CRxRUEEZJJrBg1QV5TPm/fu4ObKitQhikeTFlX/cfwEE14/r95Rzd27alZNkwm4g5jTTWtuXz7ZO8iDnX1oBIFALMZ8KEyuJY031tVy3ZblNwdZlunq6mJ+fp66ujokSUoJo0KhUErMs1l9OtUoUEEQUiKOS8Gz97/EsZ88R3ZJFu/50pswmC+O3CYSidQM79zc3KoVP1U8lpOTQ3V19VmipQQQZCeKWALC5nU3WCnbfb2xcF5yfn4+JYxaKWL3QjE4OMjo6Cj19fUbFvagKAqeQASLSY9Ou37fpSzLKfHbSjG4kUiEN7/5zbjdbh599FHsdjttbW089NBDPPzww5w+fRqn03k1RvQy4mqFdJPhcs2QhsNhmpqaUherjVLGrpcxvqIo9Pb2MjY2lootDYfDKRsPRfsO+tqOsmVbLwbjguOlwKHbfRjNMgaTxMyYgcycBHuu81O+Lch/fbOe010mlGiMUF0umc93I510Eo+KjJYV8+8/zMehxPB4BpBcAYT48n3pe15Lol4DZl0y2UkA0kyAgKwFKVMEv4wufOa71euI7MxDylIQw3GUmIzLHaR8dynBaIz5LPjUJ75JeD6IkFAQPAE+8sM/paCggM+//t9RUHBNepDiElqDFpvDwvX3HgKSWdxvqT9r3rwzP5fZYSc9zW2kV+XwsXtuQ4hEaB0ZJej14HmmheGH+rDaLdz25beSU5zFNQWF9H7sATzTXram2fnoR+7FYtDzn6+/k9PjU+Ra0qjKcSAIAjdWlvPXiQQDLjfXlBVTkpFOhtmETqNBURTKzXqaBNCLGg6WFiIIAl0zTkKxBJ0zTr55/DR7CvPJPNO61Bl02DEhPTmIweUjf+/uFcnoeM8kfY1DHHjl3guapbuxspyt2Q5m/AF+2dxBhtnIBw7WU76CDY4kSanqyr59+1ICP7vdTmVl5apinuzs7E3h07kRtlSHXl1P4dY8MvMzLpqMQrK1vzAjfmnFLz09HYvFwvT0NMXFxWzZsgVBEPjR3/8vj33/aV770TuWzQ1vNqi2WmuN07xYLJ2XdLvdOJ3OVMTuSjGc54OiKAwODjI2NrahZBTgha5RHjnVS3F2Ou+5rQGt5qwnqKKAKF7472gtZPQtb3kL8/PzPPbYY6lizK5du9i1axef+cxnCAQCV8noZcZVQrrJodVq152Qut1umpqayMnJoaamhieeeGJD8+YvddtqJTcQCHDw4EEsFguKoqSISHNzM9nZ2ejy/plA8DPojb0IxFODkTq9wv5bkupKlFDyX0BBToC6gl5aH1GQvFEcczoSE2ESMRFZK5LYkk9I0qFJgGLSoXiCy+xFEQXC6Q6UmBZD1E1cioNWh2JKVniiDsCuJWGKox1J+nUiCOgMJoTWUZBAsRqpfs1+/vpzr+O++5/m0Y/+BCEiIQIarcjdH39lyifyw197N01PtvPc/SdoeaoDiz2ND371HRx8Zf2qx2/y0S6EU5MkFAFEkaLCAooKk3GHT9//PKdDHUSjLp499iyVdVtwOBwUV+WjJGS21pVhMST3xWY0UJ3j4DsvNaEXRd5/qJ5Ms4lX1lYve09Jkujo6CBHUCjOsCMDd22v4qbKcnqd83zj+Ek6p52km4yYdIsvQx1PdzH289NICRnXvl7YvmXR38OBCH9z1z8TcAdoPNpOwZ8exqDV8srtVejPU2GRExI9v2lC1Ip8+BUNGA068m3Lb7Zq2pcgCKuquReKeVby6VTJ6ZWI4FTT1TIzM6mpqVk3AYxWp6Vi9/q2GQVBID09nfT0dLZs2UIkEmFkZISxsTEgmeKVSCTIzs7mse8/jd8V4NHvHtvUhFQ1jV+vBKO1YqEwSlEUQqEQTqczFcOZlpa2yEh+pfNCURQGBgaYmJigoaEBi2X12ez1wPicj0mXD40gEInFsZgMJCSJnx5rYXzOy93X7qC6aO3HcCEZ3bt377LfbjQa5W1vextOp5PHH3981c7gRu/3VSzHVUK6CbHQUHy9K6Tj4+N0dXVRVVVFSUlJKtnicqYpXQjC4TCNjY3odDoOHjyIXq9PxcKJosihQ4dSWdxer5fK4r0YYjos+ubFG1oymCKQtFwqyg9iCbkJegWUWIyYrAejSLTKTixXj96vEMtJw2epwPxYNyTOenwKeyqImYwI6WasxiBm/zTz4TiyIIE/BJk2DHMge2IICzQHGg0Yqi0knvIgSDKahMzHP3kHk2MunvvyHxCiEsgKigCiRuT0Q20UbykiozyLR6cnMOzOwvMNLxpRRKMVCXpCRMMxDKaVhQ3ZJVlE6nKYKtDzvZMtfObma9FpNIiiyLWvOUS6PR1jmpHC2lzm5uYYGxtj/3t3cDC2m8rdW1JRpgDD8x6G5z3oNCLjHh+ZZlMy3SSRSMUpLkwvetPNN1A+PoU7FGF/SSEaUaQmN4sv3XkTrZOz1ORmLYthzC5yYDAZSMQS5JUvFw/JkkwinkCRFWbmfTR29qHXaKhwZFBXmHfO8+n4Ayf58T/8CkEU+LMsG/vuqFv2HPWcU+Mc11JZXM2ns6+vj0gksqi1f6lWaueD6pZRWFjI1jPWQi8n+P1+JiYmqKmpIS8vLyXm6ejoYOddlXQ+PsAN7zhENBrdcA/Si8Hl8OlcCwRBSAmjysrKUoumubk5WlpaUBQlRU6zsrLQ6XQoikJfXx9TU1M0NDRclgrh9TvL0Gs1lOTYsZiS36fLF6Zr1Mm0x0/v+NyaCalKRkOhEPX19cvEXtFolLe//e1MTU3xxBNPXNHv5yqW4yoh3eRYL0KqWr5MTEykWt4L32Mj8+Yv9vN7PB6amprIzs5OihlEcVFGsSiKi3KPY7EYMzNVnOip4UhtM5oli39FIRWfefTFcpp789ATJ1FoI64EQBCQstMQ7A58DenIJoGEG7xWCSk3DWXYjq0lmZaiCKAUZiMkZPSBENbRPrKKwrhHdSDrEMIxlEAYwWJClMEQPTtNKkngcgfQHirE9uw4gsHIU4+2wryfyNAsgqwgGLRk59kxWYz0nR6i+Wg7mXfW8ETvIHqthswCO+ZpN745P/f9+Y8Y657gXV98U2pfJ7w+Rt1edubncus7jzBWauKUy4lRq0VcQFB0ei17bz3b4lerVAsFKAMDA6l2dIktnRu2lGLQaqnMzkRRFH54qoXWqVleXVvF/oJcmpqaFrWJVzIUtxgMHC4vXvZ4yB+m99QgH/qvd1GwJZeS7ctFBWnpZv72V5+k50Q/Zbdu54fdXeg1GgpWqHQuhdVhQavXIogC1szlFRC/309jYyO5ubmLZxYvAEt9OoPBIE6nk+npaXp6erBYLKkWqs1mW1fCOD8/T3Nz86Io0JcTpqen6ejoWNTmVon8tm3b2LNnD84/T86dPvvss9hsttS85HqLeS4Gagzu5bJGuhAsXDQtdEBYKIyCpIPJ5SCj4WgcbyhCrt3Caw9vX/S37PQ0rqktZcLlo27LcjeHlSDLMu3t7auS0Vgsxjve8Q7Gx8d54oknNiRh6iouDVcJ6SbHehDSeDxOS0sL4XCYgwcPLrvQbKTX6cWS3ampKdrb26msrKS0tDRVNV5IRpfefGRZZmJiEoMxB0GTAYobRYFISMSUJqfI6Oignl9/JQ2/Rosro4J4kRbiwwi+KIpWQIxJWAbDJNL0iJJIPE1BEAWCN5QjSloME36U3VsQvCEErYgQCOMeFJgfMZFwZICgQduZFCjJOXakbSWg10IsAQYdcjCIEDQhSqDxx1B8UY7+1yNsayhL7pMGahqSQh+/K0BOiQOz1USByUyx3YZBq+Xd//M+Hv63B3n4vidJxCVCvnDqOEQTCe57oZFRt4fbqrfw5r07efv1DRyam6fIbls0kznkcvPc4CiRRAJRENiWm8WB0iJMJhPFxcUUFxenvCVnZ2fpHBrGICvUFhcS8HhQbDbap2YZnvdwangMxkcuicz97IsP8IfvHEWSZGoObOUvf/Bh7LnLbWaq922hel+ylf/3pbloRGFZpXUl7Ll5J5/52UfR6DRU7Frcep6fn6elpYWysjLKysrWjdwsrVKpRH90dBRRFBe19i9lzvNcUaAvB6iVxd27d5OVlbXs74IgYLVasVqtVFRUEI1GU2IeNeVIJfqXeiwvBgsFQJtdjb6SA4JqCwakXEw26lhG4wnue/gEk/N+XnVgG9fuKFv0d1EUeOWBbWvenkpGg8HgqmT0ne98J6Ojozz55JMrnl9XceVxlZBuQqxny16dJTObzRw8eHDFWbiNJKRqVXOtRs6KotDf38/IyAh1dXWp+Ss1c3g1Mur1emlubiYrK4uamhqUcANIj/Pr+7JoPW7hhtd4uP41HmJxkf52M4o3SiDTSiSmRxBAU1mIPjiLvs2L7J1H26Uh0bANxaiHUYVEmoQYA7mqCDIi6E71JkudWg2yAnpDst2lT08jEIiCnAxUF2c8YDYiuLwIoSiSw4LOFUDboSNWYkM4Q9ZDbj9P/ug5tAYtB165l91HtvOTz99PJBTFZDXy6288jvXxdt7+N6+lrMyBPxojXGwlpyoXX7qe+G0VzIfC2E1Gjg+Nc3xojEAsSlF6smpo1GnZnpeNJxxZFFn3+45eHusdwB+NIQCF6VY0osjB0rOVSdVbUme18ZORGdzBEKLFh9vtJhqNssOsx6pYyQ75Kd25PbWAuCgIyZa8FJfoOTXIqcdauOXt15/zJRaDHllReHFkHEVRUqMBq6GyvmLZY2plbqPJnE6nWxR3uFSAkpmZmSKoF9KOVsncSh6p4UDyOzdbN58LgArV5/JCEoAMBsOylCOn00l3dzexWCx1LLOysjZ0TEK9ZqlpcRspANoIqOld4XCYw4cPo9frU4lRC4+lWolej2MZiSVw+oI4vUFmPIFL2tb5yGg8Hufd7343g4ODHD169CoZ3cS4Skg3OS6FLM7NzdHc3ExxcTFVVVWrkoSNnCFVV9ZrIaRqRrXX6+XAgQNYrdYzSksl9flWIqNqek5FRUWKDEnGD+CZzOXEky3MjCd48DdpTOqK2FszwQvDVTgR8YgZKLKAXp/g/Xe+SOvDGlqCeiIJHVh0oNUgAPoQaKMg6SGuBzwBhGAEUFA0yRSmYK4DTHrM5XnoJBktCrHBaVAUMnQCPm8oOcbqD0FCQgwoGDvnELQa9r9qNz6vF9+cH3uWjfd+5e082zOEtSSTNH8UbzSGc8DJXDjO/z7WzFyBwoTXT5pVS/GfHCRAnBMeF7XjU8z4A/z4dBuecBgRgbEXBvnCZBCpyIojzUyfc54jW0u5e1eyRVbhyKDAZmXa5ycUT2DSajGuIMCZ9Prpnp0jGIsTkWRs2TlcU1VBMBjE0d9PgZKcrZ2dnUVRlJTx+YUS07f8zeuxZVl59DvHMKYZ2Hl9zZpe1zY1ww9ONqMoYNRq2VO0doud0dFR+vv7r7gARW3tq4IYq9WaIqertaMVRWF4eJjh4eEVydx47xSff92/k0gk+MzPPkbl3vLLtXtrgiqgGR8fv6TK4kopR06nk6mpKbq7uzdsTEIdhZqdnb1sM5frCUVR6OzsxO1209DQkFLhq9XRhYlR6siJKoy6FDeJ9DQjb7h2B5MuPwdrlo/urBVrIaPvec976Ovr4+jRo5f1930VF46rhHSTQ215L6xqnQ+KojAyMkJfXx/bt2+nsLBwTe+xEVBJ6Pm2H4lEUurkgwcPYjAYUpVV9bWCICw6BurNeGhoiB07diyqDCmaSn75jULcrnkSdplxnY6/OPgkPcPZpEkB3EoZit4ACAieAD/+6XZ8ig2tOICQiCD4wghOL7LDhjjlQuv0IlkM6BUB7awbFAVFryGeY0HUGZHL8xBseixZVrKtaRgzTHRMulAUUPyhlKYqWmJF0YqIUQnjuB8QSNtm5R1vfQMnf9OCoyCDU9PT3D84gOVD+8gQ9DR/9neI4RjC1DwjCT/doz7isozFoOem+l1o3B4GXR7GPV4ebOnB6Q8gAMX9AcIP93NKkfG8rRZbRRZaUaB31sWJ0aSB/vUVJRwqK+KHJ5tpnJimOsfBkGseo1bDttzkxXsuGOI/n30JbzjC/tJCSuzpXHNm/nN6ehq3203xthrSLRakYACn08ng4CAGg4GcnJzUjWstFXKTxcg9f/Eq7v7kXUQSCbpnXYiBINmWc9/o0/R6jFodCgpm/dq8NtXK1sTEBPX19Vc0gUYQhNQ8dHl5ObFYLNXaHx4eRqfTLWpHq52H3t5epqenV40CHWgexjvnQ5YVek8ObCpCqigK3d3dOJ1O9u3bt25kbqVjqTogqGMSKqFyOBwX3Y5WFCXlUbtv375N6UN7LiiKkmrTNzQ0rFj5XHgslwqjmpubgYuPhq3bUkDdlvM/bzWo6WOBQICGhoYVyeh73/teuru7OXr06MsuXe3/Iq4S0k0O9WIpSdKarGNkWaazszN1kV/LYP1Gt+yBc25fVQVnZmayY8eOZeIl1QlgIdT9nJ+fp6GhYcXKipyQ0dtMZNWWULzjRbLtIWy1k/iGHIi+LBRJQJj1IsWiBDMsKFVZJIpz0PZMAApCOIq2ZwxhzouQkBHd/pRaXxEFwpUZeG8twxAQ0QkiO3cX8um7juD1hrGl6XgiKw1fOMYzXSMw40UyaIlV5mFqHEU/F0bJMVP1gf28+lU38tO//Q09JwbIKs4k59370GkEpgMB+np86LR60Aik5VhxGqMwF8X2/CRKmo6R8lLybBae7h3iuz87iqyAnG1EDMcJBCNkAJIsE4nGECIRtuVmc2NlOT9tbKN/bp4Xh8d5VW0l3bMu3OEIj/cO8duOXtINBg6VFXFXbRXhWJx+pwujTkuJPZ1bqipSN4OuyWncZhu/OtGCRa/nE0cOsaeoCEmS6B4dZ3BmhpGxMXQazdmWn9WKXqdj1O1jaN7N/pLClA/pwvPmt+09PNE7SEmGnc/eknQGWA1bszL5xJGDKIpCaab9vOelev643e51JUPrBb1eT0FBAQUFBUiSlGpHd3Z2kkgkyMzMJBaLpdKXVvMR3ndHHdffc5BYNM51dx+4zHuxOtTj7/F4NpzM6fX6RWMSHo8n5R17sT6d6vnv8/lWJXObGern9/v9NDQ0rHk8RBVGxTUmIno7pZkmPO75VDRsenp66lheTIdkrVDJtPr5l5LRRCLB+9//fjo7Ozl69OiG+sBexfrhKiHdhFj4I74QQhqNRmlqakKWZQ4dOrTmi+RGEtLz2UrNzMzQ2trKli1bKC8vX5N4KRaL0dLSgizLHDhwYNWL6U3vvYluNLgFgby4QjSqoW0glx88Vk9CCKIZmUWIxAAFQZLIr5shQJhomg453YxclImmdQRBVpZlZwpnzO8VgxY5qKCdkeh6qIOP/Nsx5JpM5Nu3UH9tAac7xwm6M4i/aS8iIoagABoNiiCglzVkZOTz5W/9Ac/xLhRfjGhhGj3zs2jSdLhG/BCMozlQgc1bhKbAjnc0iKFjBssLkwiywskhL8KfNCC3zZL+yBCKRiD2hiriBRZmag3kOGx4IkFiBRZi0RgTHh/FdhsOs4nWWJyXRsc5MTpBKB5HALSCQExRCMfiPNjVx4ujEwQiybEBo0bDoNPNbyKd5EQCHJ9w8uvRKRKyTJpeR1VONiNuD//x4NOM/PQUMbOG6YN56HQabtlSwjXROP3tnfxmaCJ5A9Fq8SUkJjw+3ntwb+rYTg/N8pMv3I/TBInDeUiKnAq5AvBFIvyyuQN/NMa9dTsoODMnW5KRTjSR4HftPYiCwG3VW1b0JVV9bWOxGPv379+U1kELoTlD5rOysti2bRter5eOjg4ikUiqZam29peSALPVxIe/9p5l2wy4g3zj4z8gGoryJ195B9nFl09xrI7mhMPhS44yvVCIokhmZiaZmZmLWvsLfTpVQrVaO3qhtdCFkLnNAvWcCQQC1NfXX/Dn9wTCfO13LzDvD/G6w7Xcub+aysrKlDPH3NwcAwMD6PX61LHMyMhYN2GUoii0t7fj9/tXbNMnEgk+8IEP0NbWxtGjR8nLO7cV3FVsHlwlpJscKiE7H2FUq4x2u/2CU1k2coYUVh4JUAfpBwYG2LVrV2oFez4yGggEaG5uxmq1ruoRmUhIPPFYG09+9xgDIy4ihdkMHs/i6R8eRlduweM2oXFNI0SiyYqnXouUkY6iFUhMhlBCEopDjy0jQQiSc6JWE6I/DAkJBRAQMM4lyGpJ/r9kAH3HHIkpL7IngqcqkyZBwOkPYJIVjB4RrQLBDAi+bguGcT+yMY2jT/ag8YcxGbTk78xC+5pqhpUw+qkYxvEEigzXXFdFbDpMR/ckpik/IdOZfVZAO+Zn1htAF00gnCHMonSGQIsCg+UGQvGzbbTpQBBREPjIdfvxRaM0jk0lhU7JzRE7w/wUICHJOANBYlLyu4tIEt966TRZBh1pOi2ueCKVYx+OJcg0GwnF4rT84Hn0xydQNCJyth5fRTq/7upnKlTINWXFzEjjaMMxHAaZeX+I3za3IYRD3NOwG4vFwoP/8zjP//okOqOOe17xLg4f2oFeq0GSZH70pV/z2/95nFi2Cc0H6tmSlcmr088a8z/U2cd9L5wmTa8jP91CfdFigZK6aNPpdDQ0NKy4yJv2Bbi/tZNMs4k37N5+zsrs5UYikaC3txe9Xs/+/fuRJCnV2lfHJFRyeq58+LZnu2h9qhMpIXHqD83c8f6bL9vnb2lpQZKkVQMHLidUB4TS0lL6xp1I0RDhsD81PrSwta+GlLS0tDDnDXJo/4WTuSuNpWR6KZlbCxRAlhVkJfmPioXOHJIkpfxju7q61k1ktrAyuhKZTiQSfPCDH6SpqYljx45tWFzrVWwMrhLSlwHOV8Gcnp6mra2NiooKKioqLrhNspEzpLDcHF9dobtcLg4cOIDNZkuJl86lpHe5XLS2ti6KElwJHd1TPPDDZ3GdHECWFASdDmXShz8URQqbCVbEsaIgiCKKQYe8JR/FqGe2J4xgSkPQJlByrfhCZkR7GiKgONKR7FYElw8hEEbRa5EKk1UlRUya7Cs5mcjhOIrDhn1Kw76KLJ4bchMVQNGBEoNgvoBkMRBKN5B+OoIYjKM7PYgUjDCmUcCsoAQV0IHeqMVuNPKmG3YzO+1lqnEIZWQOzysKmdeIWBpnocCOtWse2R0luCuLWImNaMnZWcJgPI5WFEjIyRuHTiPyQGsXOTYL1dlZ3FZVwRM9QzzWN7joGBq1WrZk2emcnlv0uKQozEdjTEdiix6XARTQa0QMzkjS81WSUXRnv6MXRiYYdXuZDYQw6LT81a3X8fOmdoZcbpqnZ5GPPcNL836ydCEMaXrsOencdmgHtjMV0D989xi/+beHkCUZTTCGdTZCltlM87F2nvrli1x370Ge907gCUdIyDLpxsU3q1AoRGNjI+np6dTW1q5K1k6NT/L0wAgZJiP7SwrZkpVJLCGh0yw/Jy8n1Dlrk8mUWnTqdLpUbKRKAtT89IX58KrxuYrq/Vsp2V5IJBhds3DsUhGPx1NxxXv37r3s6VXnwvGuUX75TBs2s4E/f/211NbWpnw6BwYGaGtrw263E41G6ZkN0jkXp93dyIdfdRCDbvPsx7kgy3IqCnelyuJakWEx8eFXH2TGHaBuy8qET6PRpBZGCwV7C0VmCxOj1vK7Usmoz+dbkYxKksSHPvQhTp06xbFjx16W1mf/1/Hy+CX9H8NKefaJRGLZ81SF6tDQ0KIq44ViI1v2sLgCG4vFaGpqQpKk1FjBUvHSSmR0bGyM3t7eNdny2NNNZJZmExmcITDmRO4bR0lPQ0gz4a+xEi9Ox+CKI4YlBLsV0R9E0zqERoqjtWlx3JyNW9bjD4rIFXnQNoww5wVRTNk0CfEEQjgGaSYEEcS4gugLJX1Gs+3YRS09JybAL2MQwGjRIooK+VMigSot9qkoiaMdCAkZ5UxbWfZGEb70LBaHCSlNSzwiE3JGeN6k562fu5u+mjwGtDKJbDtjdgOhvbno/TFsjw9jGvKh5JiJ31pBjtWENxIlmpAQAKtBz9vrd9M0MU00ITEbCPLLlk4kReFPDzXwz6++lTv6BvlZYzujXh8aQeTWqnJ+29GLuozQCpCl15FttTDg9ROLJ89Hk1ZD9AxZ80QifPeFJnbcuoO+qZcw5lhJ31FCu9eT+m4mfEmLl3A8wf8cP01ltoM8m5Xbt23l5MgE0zMepCo7b/jPV2FN0zE8OUR2PEmoxlweZAEQQChNJ15k5a8fegLrP78InghHH20k9JcHkc6cS9O+AFuzkosGn89HU1MTeXl553ScAKjOdrAlK5Mss4l8m5UXhsf4ZXMn1TkOPnCoflGwAMCo28sXn3gGvajh719xA1lpZsY8XpomptnqyMAbiZKdZqZrdo58m5WG4nOfv85AkMbxKapzsig7Mw+7lijQpSTA5/OlRFEdHR3Y7fZUxS8zz84XH/6r5Ll8GUh2NBqlsbFxEZneTPCHogTDMXQakUgsgd1iSoUbVFZW4vP5aG1tJR6PM+nyMTQZIBwKMzHtpKwwd92iWTcKkiTR2tpKNBpdMdv9QlGWm0FZ7trsuVYTmc3NzS2qRGdlZa0qjFoqwFqJjH74wx/mpZde4ujRo+cV8l7F5sRVQvoywEqEMZFI0N7ejsfj4eDBg5fkfSeK4oqEd72gVmDVFJz09PTUTUlt0au+qyuJl1QlcX19/ZpEWqXFDj75qVfS1lDKf777fxABIc1AdG8VRkR0M5DItGA6NYgw7UYx6hBjcRRFIe5LYBkdoSBrhB5NNZ6hOJpZDyig6LUgCAiSBApIXjeeA3Yki4h+KoTjORdCNI5iMuBJM5K65yoQ9SfIy7PyqY/djl6n4fPv+DrzoTNVRrMB0aRFcIdAVhBnQ0Ay2SkO/OY/H2Hn9TW87e/eQMAT4t8/8m2EJzvw31BMvD4vmSI1H6W0Kp/bbruWLTkOGiem+GVTBwB1hXm8a38d90RjfPNnxxnucaHoJBSzgHiGi9xQWcENlRX0D87y6NEupvu8hM54k5p0Gu7MzeBd1x4kPSuLe77/S0JnCKnazk/T65h+sAP50X6Mh7bwd4/9Fb8Y7EfSioxGwviiUTRnXBISZ0h975yLwXk311WU0lBcgF6jwRkMUZufzet2bCMQCCwiVKUHc1DeUEPYKNDwijpeGp3EE42hzTZhDMYIZxlxhZIBAe5IlP969iXKHRkYE8lgiLWmF1VmO/jCHTciCgKiINAyOcOgy01ckghEY9jOVF5V79Nft3bROjmDKAjc39LJnxxu4MenWmkcn0IjCgiCiDMQJJpIUOHI4Et33Uxh+ur2Rr9o7uDZwVG2ODL4/B03EgoEaGxspKCggMrKyjURyIX58Krxudra7+/vx2QypcjrWh0QLhbhcJjTp09jt9tTiWubDdfvLEen1ZBlM5OXaWXOF+TZ9mEKMm3s3ZJHV1cXaWlp7Nq1i227Ajx6ohOTkGCkv5uR/u5Frf0rPYawFOqYQSKRWBcyeqlYKjJTK9GqMEpdOKnCKIDOzs5zktGPfOQjHD9+nKNHj1JcfPE2UldxZXGVkL4MsJSQhsPhVOtLNTK+1O1Ho9FL/ZirQhRF3G43o6OjlJaWpvK1z9eiV8UnkUiE/fv3r6okXgnZDgvf/ezPUnZLiicAoogogRJKoOmeROMNgwAlZRKT8yDFREhA/4kzx1MYQiuIJKmhArKMIsvJ9rwAunE39t+Gcb61hmieHsluQuMTUewWFFkmkVAgFEEzPAOZVqYUhX/7r0cJhuIEBmdSUaKCJ8gCzQ5L6YaigNfpQ6PV0Pl8D60PtYCskNvi4o6PvhLdth3EdQJ3XbMLR3oyDnNXQS6v21lD7+wcW7IyEQSBPzT38mhXPzqfTH6xhaBZZMofYNLrp21qhl0Fubx0apjG5lEys9LYW51HOBHljiwLR+rricY0jMx5MOh0aM8kIykKGHWa5H83TkEwjrdxHJ9BYDgYQJIV/uEVR9iZl8uY10fzxBQPtHWTptcx5vERlSQGXe7UZ95VcLbKb7PZsNlsqShTp9PJx96tpX/WSZXNCLkOjo5OMXdvNbrZEPGcxeeHOxTBPTfHzPAQ27dvv6B5Mu0C0nRTZTnheJyanCyshrO/tc5pJ98/0cxcMIRRq8UXifLdE82MzHuwmYwIAox5/AhCcmEVl2WiCem8iVLpRgMWgx6b0YDH7aattZXy8vJLigJdKXlLzTQHls1KrhcCZ8h0Tk7ORad3XQ6YDTpuXuBBdKxlkN++0EVOuhnP1BB5mclFtCiK5DvSedcdhwAWRXAuJVTZ2dmYzeYrus+SJNHc3IwkSZtuTAIWx+yuJIwyGAypgslKAjhJkvjoRz/Ks88+y9GjRykpKblCe3IV64HNdXZexYpYSEjdbjdNTU3k5OSsW7VhI2dIFUUhHo8zPDzMzp07U6TgfOIllXQbjUb27dt3Uat675Q3Re5kRDRPtyCmp6ELRJKCpjPIqNSQnhag/fjZbHNFVfkgg0YESUFIyGdJpAJCJIF+JkTWL3uIlqaT2FmBEldAktG2DUMigRCKJk30nV7knAwmpvzESSYnLb1NCXotoqIgxZPfdVI8BcaMNI41jVGwbwb/fAC9UUciluCOe6/lHdfWr7r/6UYD+0rOtq6en5rA41DQ2wS2FKczJ0ZRFPj2S420T81SV5jHXdvLGRqZY2tFNjuqzczPu6irq+OxY/28dGoYa44JY7qWTLOZWyvLOVReTEKS+d9fPsOkM4TOrOdVf3oru8sKucGdrCruKcwn3WTEYTGfqdbuAeAHJ5s52jfE7dVbz/tdmkwmSkpKKCkp4cgZL8TsDCfFosJzcx4sBVn0efx4Y/HUa4KxGL840cjHb7vxknKrq7IdVB05tOzxNL0Oo05Lvs3KobIiftbYTkyS+EPPANXZDsbdPsJnfrcGjYhGEJAVhXGPb5nN1ULcW7eDhuICjPEYLc3NbNu2bV1bkGryVm5ubopQOZ3O1KykaoOUnZ19SXZMqtCyqKgoNfN9IX7KVxL5mVaybCaIhciyF6XI6FKsFMGpVqJVQrUWkdmFwBMII4oiNvO5BVWSJNHU1ISiKJuSjK6EpQunlpYWfD4foijywgsvoNPpOHXqFK997WspLS3l4x//OE8//TRHjx6ltLT0/G+wjpiYmODTn/40jzzyCOFwmKqqKr7zne9QX7/6Nfkqzo3Nf4b+H8RKM6SSJDE+Pk5XVxdVVVWUlJSs24V9o2ZIZVmmq6uLSCRCWVlZioyeLwbU4/HQ3Nycmve72Iu4ulXFpEcQRYR4AmXejxBLJFXoBi2y1cypmVLSsyPk1o+ytXCOYECk7YQNKSyjSLDIc2jBxmP5VnSuMMYhH8axIPHrHGDQIQTCCKEIJKTkP8lPAVoRCXDVQc5UBoY5H6CgGPUoJTlkIhEYcoJGRLCaEEuy0U64iCckTp/uZO6bQf7pb99MIi5hthkpOVjFN7/3LKXFmdx+8/Zzng/TMz7MTgXHjIAj38KnXnUdQ24vtXnZ/PBkC2a9DqtBz+4dRdRU5dLe3sb8vIfOPoUXm15Mfi/eEPZ0E+/ZV4egEblxa1mqktjjeY6pSAJNmoE9N+/ArNfxngN7zvn9vKNhN2/YvR3zBS42VC/EvLw8amtrebPHwwu9A/ygtZtIIoGkgIKSdAnQ6C+JjJ4L5Y4M3lVaSePDzRy+vZLHzCZcoTAaQWDQ5Sa2YJEXlWQMGpH5UIhj/cOLKsFLoddqsMajqSjQybjM74+f4nBZ8TlfdzFYSKgqKysJhUIpQtXb23vRqTzqwjlktTOiiBQlJJ75yXOcfLiZm952LYde3bCu+7EeCEVijDq9lOdlsLc8B8+EhcLcMup27Vjzfi9VmquV6IUiM7UdfTGdrYEpF//vty+g1Yh84vXXUuhYefQjkUik5jP37t276WZ2zwc1ASsSiXDo0CEMBgOBQICXXnqJn/3sZ3zuc5+jqKgIr9fL97///cteGXW73VxzzTXceOONPPLII+Tk5DAwMLCmkbKrWB1XCenLABqNhsnJSQKBAHv27Fn3LN6NsH2Kx+M0Nzen7D5U8dL5YkCnpqbo7OyksrLyki8yKUKq1YBOmyx4Bs9YHKWnIVUVgcUEGg3esAHb9mKufcMsQZ/ItM6GVi8zNJyBtnV42bYVAXxHirAen8Qw4gVZhngcDDoUqwk5PxPBF0JOT0MzNIUQSyD0jOO6pwRBp8F1Yxa5c35EpxdBktHH4/jHnEiSjJxpIvKBeoqGZOKBMNFgGE3LBBNtk/ww3cY9f/IKcnNs/OLXp3j6J8+hi8Xp65yg/uBWDu8/m9N+9JkeTjePcPtN23nosXY6G0cRY3Ekn4hvJsR125LH9/2H9jLocrPFkbnIFimvYAu/ffR5fIEIt96wjR3bC6ipzKO8bPn5d+vbr2ekbYzCynwqdq+tUiEIAmnnuCk/+t1jPPfrE7zmI6+g4fbdKz5H9ZW880AGWyvKOTE4Qu/oKJFojNFQlGqTjuHh4ZRH53rjoS/9ns7jPXT+oY1v/fbj/L6zlzxrGve3dNEzN7/ouWa9nh15OewvWV3UtDAKtK6ujszMTL7y4BN0TDuZ9PrXnZAuhdlsTlWi1VQep9NJU1PTooSjzMzMVStuqsrfnFfALzr6CESHiEsypx9uZqRznNOPtW4qQtoyOEXPuJPeiTlGZz3UFGaxN1tha0n+JY0ZaDQacnJyyMnJSYnM5ubmGB0dpbOzk/T09NTxXKuJ/JTLz7w/hEYUmZ73r0hIE4kEjY2NaDQa6urqXpZktKurKxVnqlpEWa1WbrnlFm666SY+/vGP8/zzz7Nz507e9a53YTAYuPPOO7nrrru47bbbLjqCdq3453/+Z4qLi/ne976XeuxSRmquIomrhHSTIx6P4/V6kWWZgwcPbshNdb0rpMFgkNOnT2OxWDhw4ADt7e1IknRO8ZLqGDA2Nsbu3bvXhXRnFmQwP+lG8IepenU9Pb87fbaFH4yA3ZKsfkoSyDJj/Qa+9JVD0DaGLuABvQYKk238FLk9M06q6EQyHhoA9bDJCuK0B3mrGUQRxWxEnHaj8QQQIknTeWF+Hllfgr1bQkwIhGtzsT4+D4pCYjiZAY9GZP6OciSTROYuC7Z4AW0PtSPEk6MDTz3axWBY4D1vu4Z0FKKtgwQjcZ6acDHpvJ6d2wuwWoyEwzG+/aPn8fkijE24KSrIQKNJhhQY9DrM5rNEME2vZ2d+LoFAgNNNTWRkZLB9+3YSCZn6uhLm3UGuO7yV/NzVozXLd5bwj4985pK/MxXxWIIf/cOvCLiDBL2hVQmpCkEQ2JJpJzA2QlVpAXv27CEuSbjPEKqBgQGMRuOi9ul6dBgy8+0Y0wzYc2yUZtr5yHXJNKTbt1Xyv83tzIciPDs4gj8aZ29RPl+840aMq1SEF0aBLsx135GXjS8SZXve5c3hXliJVhOO5ubm6OvrIxKJLGrtq6Rhenqajo4OamtrkU1pyG19GLRaLAY9e9+4H8PTFq57/ZVPjFIUhRe7x5j3hzjWMsiY00MsIeENRRiZnif3yDauX8eZ14Uisy1bthCJRBb5xy40kVejYVdCfWUhr/FsR6sR2Vm+3PBdtdbSarXs3r37ZUtG1QS+pX6lsizzqU99iscee4yjR4+ydetW4vE4x48f56GHHuJzn/scsizzxje+cUM/5+9+9ztuv/127rnnHp5++mkKCwv50Ic+xPvf//4Nfd8/dlwlpJsQ6kVQtXoRBIHCwsINizdczxlSl8tFc3MzRUVFKXsddSh9tRa9JEkpS499+/ZhsVhW2fqF4W2fu5vv/80vMFmM/PkX7+WDvzt9VjykFdF0DCMXOFAyrIAGtBpklw9NMIoUUyAmoemeOENGk68UBAGZpM0TsRiKTgt6bZKEZloQPAEUkwHFakLKTEMz4To7K6rVkXM6OUOnALccqOX0C4OEAxGsuXaCoSi6QgfWihxMboGC/Cycc8NIMQmtXoNmWxHRwixc80Fc7iAHrqnkF+lm5sMepHk/mhk3ZlOSaOp0WtKtRqKRBNlZVt779sNcs7+CnhN97D6wlbKSxW1st9tNc3PzIo9XvV7kLffsW5fv4kKh1WnYdWQ7LUfbqb9t13mfr9oKGQwG6uvr0Wq16IG0BR6darVvPYU87/vnt3DkjYco21m86Ly2GQ2892Byluyj1x+gc9pJkd22KhldGqW5UMD31vpd3LW9CrvpysVTLkw4qqqqSvlKTk9P09PTg8ViwWAwMD8/z65du8jOzuY7LzUSTsSpzHJg0ev4CW6MNxeh255zxWdJh2bc/PCJRsacXgx6DdFYAl8wigwkgFFvYkM/n9FoXOYfOzc3l4qGXdjaXyjkMRl03H3tjhW3GY/HaWxsRK/Xs2vXrj9KMvrpT3+a3//+9ykyCsmF05EjRzhy5Aj/8i//kip6bCQGBwf5xje+wSc/+Uk++9nPcuLECT760Y9iMBh4xzveseHv/8cKQbkc395VXBAURWFycjJFECRJQhAEamo2xsDa5XLR0dHB9ddff0nbGRsbo7u7m5qaGoqKioCzs0Dj4+NkZ2eTk5ODw+FIXSyj0SjNzc2Iosju3bsv2TFgIRLxBB3P9WDJTEOr1fLFe/+D2eG5ZMteAEGnRXakI+0qT1ZKw9GkEn9sFmHOh+gPwWq/DkEAnSZZLU0zkKivRByYRnR6UNJMJHaVI8TjaBv7EQNhRI2IpIBUlotUWUSm3cxnP3k7cZePx791lJzqAlw2C/l5durqivjW954nEIhw/Y58nCf6qNhTijfDTE//NI50kYa6fAoL85gf9PKtj/8UWVH4s6+9hz03n71ZuT0hevtnqNtZhMGg4/5/f5AH/+dx7DnpfPHhvyItPUl61KpWdXV16ntbimgiwf2tXUQTCe7etT1lfXQpGOue5L//7LtkFmTw0W+8D2Pa4m3KskxgPogt69yWZurCTa3snm/mWBXyzM7O4nQ6iUQi65Iic7FQPSIjkQh79+592aX/xGIxuru7mZ2dRRAEdDodWVlZ/Lh/jA7nPNvzcri+opSvP3+CGX8Qm9HAn994mDu2nV/MtlGY8wb5mx8+zuDUPFazgVAkhj98Nuzhnmt38LHXXXPZP5eiKCm7s7m5OXw+H1arNVWJtlgsKxLlWCxGY2MjRqORXbt2bUprrXNBURS6u7txuVyrktHPfOYz/PrXv+bYsWNUVVVdoU+ahF6vp6GhgePHj6ce++hHP8rJkyd54YUXruAne3njaoV0E8LvT0bXbd++ncLCQvr6+jbUlulSW/bqxWRycpL6+noyMzOBs+Kl8vJysrKyUkKJaDSKw+HAZrMxPj5OZmbmhvgTanVadt9YS/PRdn7y+fuxpKcxp51HTshk1RThnPSgOKxJb1GnF03POEgSiYJMKMpGCYYRpuYRYyt4tAog52YgBMLIDhvinA/NyPSZ/M04JBIgapLm+SSPsRJPoIklKC3OYJtJQ/OxDp74xYt424YxPtHGX/7ww+y6YTvxuMSWsizGuyd49mt/ICPbxvv+6a0pYqbO9s3OzhLU+XjNF27G1eOh82QPBVtzyS3NJh6N0/jgaUSNiGZ30pfPO+cnGo4R9oeJRWKYbSZGRkYYHBxMVbVWQ8e0k4e7+ogmJEoy0rm5smLV564VT/38OH2nB9G2ael6sZc9N+9c9HdRFM9LRr1eL01NTRQWFqbsxM6HhUKehdU+NUVmLQRgvaDOWgObIkrzQqEoCqOjo8zPz7N//34sFgtutxun08lekxajxcAem4kKgwarXs+47Gc+FOapviH2FOTx1MAwWxwZi9wgLgey0tP41D3X88MnGlESCfw+Nx1TEqF4cvE/5096AU+4fNz/XDt5GRZef80OtJqNJXqCIGC1WrFarVRUVBCNRlM2SMPDw2i12kVzvBqNhlgsxunTpzGbzau6AWxmLCSj9fX1K5LRv/7rv+b+++/fFGQUID8/n+3bty96rKamhvvvv/8KfaI/DlwlpJsQVquVa6+9NmW5cjmTlC4UiUSC5uZmwuEwhw4dwmw2LxMvaTSaRV5zwWAwlWMPyUhEtYJ6KTYzq8E/HyQciGAw6fm7B/6cosp8Bvun+co/PIDvTBtUmPMiBpOm6rrBaaSSHOSSbDTuAMQlkqXQBRsVRWSzAaU8H0x6xOGZ1N+FhIy2exzO3BhEUaR6/xbKdhRz5wdu4Tf/9QhP3vc8iYTEmURPNHotv3+qh4cax3jXWw/x4fcf4X//9ff8ctKNz+mj68U+Drxyb/LzLZntG+kf42v//R2cY/OMj45zxwdvZKZznge/9gSiVsSRn8GuG7bz+k/chaMwg7LaYuw56fT09DAzM0NDQ8N5RQDFdhtF6TaiiQTlmWtLaDkfGl6xm6d+/jz2nHS21JVf8OtV8czWrVsvSQCn5pmXlZURi8VSs33Dw8PodLoUOc3IyFjXm70aBapWtdarxTraOY4kyZTtKN5QMq12P2ZnZ9m3b19qpMjhcOBwOKiuruYVZ8i+0+mkSgeDoohGFDhUlM9v27t5qKuPwnQb23KysK5D1f1CUJGXyZ+9oo7W1laqq69H0pv5x58ewxuKct2OMgBO9IxxvHOEDIuJ/dXFa04nWi8YDAYKCwspLCxEluUU2e/u7iYWi2G32wkEAthstj8KMrr0+i/LMn/7t3/LL3/5S44dO0Z1dfUV+qSLcc0119DT07Posd7e3stuPfXHhquEdBNCEIRFP8yNJqQXu301G9xoNHLw4EF0Ot2y5CXhTDrPQqizfLt27SI9PT3VOu3t7cVisZCTk7Mu1anB5mG+/okfUrytgNd/8i7S0s3svqGWid4p/udPvk3C5admdylFDWU882Qji6Zoo3E03WNJD9EFUy2qN6ii1aDotYhDUwixOIIvdPa1WhFjLIZep6Fg/xZGm4eZGXLyZ197D3kVOaSlmxA0AnIk+Y5Gm4nr3nE9baEEMb+bgSEnRQV20rOtZBc5KNiaS+211TzyrSf51b89yJE3HeYd/3APkCS7RaUFlNeUYTSYaLhuD2azmWB8hLgQQ6/RExUiRCIR7Dk2XvNnr0gltwSDQfbv37+mRUC2JY1/eMUNyIpyXmP3taLmYCX3tf8b4kVkxE9MTNDd3c2OHTsuOjJ3Jej1egoKCigoKFiUDd/e3p6y7VHHTi6lmhkKhTh9+vSaxwzWisHWEb7z6Z8iSzLv+PwbqTlYuS7bXYqlM68rnUNLIyPr6uq4sacPv9eLaX6GAW+INFHArtOg3+DK40qYnZ2lvb2d2tpaWid8fOfRZ8hJt/CfH7yV3IxkZb6mOIey3AxMeh19E3NkWk3YzFdmllcUxUVk3+1209raCiSvqSdOnEiNndhstk3v96ouaObm5mhoaFiRjP793/89P/vZzzh69Cjbtm27Qp90OT7xiU9w+PBhvvSlL/HGN76REydOcN9993Hfffdd6Y/2ssbVGdJNioUt+vHxcaampti3b2MEJpFIhKeeeorbb7/9gnwG1TjD6upqRFFcZHavipkWQpZluru7cTqd1NXVkZ6+WLUdj8dT1ZS5uTkMBkOKnF6MKvpux3tIRJNE+7p7D+CZ9lPZUEZZbQnf+ssfE/QEsWRYyMhLZ6R9PPU6BZBy0tHMelfdtmI1k9hegsYTQOyfBElGEAVkmwnd/i1UJWRmpr1YCzKZeq4LUSNS2rCF8cFZ9r/hIJ0PvMTMiBMUEEQBnV5Lw3tvJmtHCQe35RFxB/jGx36AFJd45xffyA1vuoYP1/8V471TGEwGfjrxdbS6s+vJWCSGfz5AZn5G6jiN9U/g9riJEcHj8WCxWHA4HMzNzaHRaNizZ8/LskU8NDTEyMgIu3fvTo2HXI73VbPhnU4nwWDwog3kfT4fTU1N5OfnrzkKdK3oeqGX7/31z5Elhbf93d3U3bSyAOZSIEkSbW1thMPhi555Vcl+x8gYcb8PjZIk+yqhWs9Z8pUwNTVFV1cXO3fuJDs7m89+/1GOd4yi04p85k03cNPus6lN4WiML/z0GGNzXq7fUc7777gyQr+FiEQinD59mvT0dGpraxdZdLlcrkUWXQtn9jcLVDLqdDpXJaOf//zn+cEPfsDRo0epra29Qp90dTz44IN85jOfoa+vj/Lycj75yU9eVdlfIq4S0k2KWCyWqjJOTU0xMjLCwYMHN+S94vE4Tz75JLfccsua1MYTExN0dnZSXV2dapWeL3kpHo/T2tpKPB6nrq7uvMIR9YalVk+BlChKnZ06H15jeWfqv3VGbTIBSRDQaDXICQkpsbKzgBrSdC6aoJgNiPFEUl0vy5CQEATIKHRw24dup3hvBT/6xYsIcYnM8Vky7GZefKQZKRJHY9KjEwWioRgarUgiLoEA7/rCvZisJr731z9HEAVMZj0IIpaMNFwT8xjMBtzTbowWI/9y9HOU1Kx97i4WizExMcFA/wAKCkajcRHZfzm0+tT23uzsLHv37sVqPfd86UZCjTJ1Op243W7S0tJS5PRc1an5+XlaWlooKyujrKxs3atYiqLQ9GQ7siSz55adaNa58qim50iStG4LGkVRaHu+k+/81c8wZRi4/gMNZOdlXbBH51oxMTFBT08Pu3fvToUmPNc+zH888BzBaJztJTn85RuuJz8zeX4lJIkv/uwYo7Mejuyq4J237F23z3IxCIfDi6rrS4+NatGlLuwXWnRlZWVtyFjUheB8ZFRRFL74xS/yne98h6NHj7Jjx/ovqq5ic+Jqy/5lgMsxQwpJEnguQqr6JI6NjS0y6D8fGQ0GgzQ3N5OWlsbu3bvXRHo1Gk3qBi/LckoV3d3dTTweT7VOs7Ky1nRTjEcSZ3rtCvIqRFSFsODfS1dr6t+08cQZgiuBVoNi1CPEExCXyM0ws6O2kLpdJej0Gt5895sxm3R8+MDfMNk1gRSJYS/IoHR7EXtu3ckD//EwCLDzSA2PfPsYkUAEgJJtBdTfvptffPk3SAmZSChKRn4GOSVZOAoubJZtdsLJNz/2I0RZwwf/7Z2YHIbUDKaiKKmbf1ZW1qarpkDy3GxvbycQCKx5zGAjsTDKNB6Pp+ZOVUPypcITONsirq6uXtco0IUQBIG9t+w8/xMvAqrHpUajWdcoSkEQ6H1xEOewC7PLRJG9hMz89JRH53rGb46OjjIwMMCePXvIyDj7G7p2RxmN/RM88EInLQNTPNU6yJtvSHrfajUaPvLqw4zMuqkpzrnk/b0UhMNhTp06RVZWFtu2bVuRqC+06KquriYYDDI3N8fMzAw9PT0Xnb61HlgLGf3Hf/xHvv3tb18lo/8HcZWQvgxwOQnpakgkErS1teH3+zl48CAWi2VNyUvz8/O0trZSUFBw0e1JURRToqiqqioCgQCzs7MMDw/T0dFBRkZGqtp3zsrrBfQChCX/XgpJjQRVQEhIoNdhybHzhk/eybWv34/BbOBD7zsCQDwaR0rIvO2zr+W/PvhtIsEorgk3eRW5hH3hZAxpJM73PvtzGl6xG61eC4qC2WZi24GtZBU5mB2do7i6gE//+MNk5mcus0g6F2ZnZzn20DP4JoLICYXB5hFueNM1ZGdnL8oy7+/vp729PWWBlJ2dvSksiFQluqIo7Nu3b8PbuRcKnU5Hfn4++fn5y4Qn6uJJq9UyNTXFrl27yMm5sqTmYqD6vJpMJnbu3Lnui5Z9d+yh/dluHIWZVDdUYjDpF/nHLo3fVBdPF1KhHRoaYnh4mL179y4bFwIozrZjNujRCAK1pYu/I4fNjMNmXvaaywl17jg7O/uCEqRU0V5paemy9C1BENbFj3ctUAsaTqdzRQGToij80z/9E/fddx9PPvkkO3duzMLqKjYvrrbsNyni8XjKrN7j8dDU1MSNN964Ye/3+OOPc+jQoRVN6cPhMI2Njeh0Ourq6tDr9SiKkrJ1gpXFS6rwZNu2bRtWEQqHw8zOzjI5Psmph1uxplu57u4D5OTk8Lb8P9uQ91wKrV7LW7/0Jl7z/psZ65rA4/RRe00Voigy0TfNVz9wHygwNzFPwBNAiiePmagVk8fvTMFWEAVMFiORYBRrpoVwIIzFnsa/PPU5zBYTRosRvyuA3qTDbD13hfDUH5r5w3eOUdZQRME+B5UVVTz1gxcJ+UK84S9ehSN/5QprMBhMjUn4fD5sNluK7G9UMMO5EIlEUkTo5Wb2rSgKfr+fvr4+5ueTMaJ2uz1F9q/E8VwJo53jyLJC2Y7iFf+utojtdvuG2LOtFSvN8arHMysra9XjqSgKg4ODjI2NUV9fv+qoR0KS6BydJTs9jfzMjY2evFCo6Xe5ubmpwJFLhdp5Uqv7oVBoUWt/YTjDpUIlo7Ozs9TX1y/btqIo/Mu//Atf+9rXePLJJ6mrq1u3976Klw+uVkhfBtBoNCQSK3hhrvN7rFQhVclwdnZ26ma0VEm/UgxoX18fExMT7NmzZ0OFJyaTidLSUsYbZ+l6ZBBEyMhNR7B0bth7LkWazcTwyQG+NzhD27M9CEB6dtLfdOueMpxjLkBBistotBryynNxjs4Ri8SBJBFVZAWtTkNGbjrz0x4yctMJ+UL45wN86y9+zJ9/54O0P9PFNz72fTRaDX/1049SvG31TPTnHzhJ98k+psam+Id3f4qsnCze/ndvOP++pKVRXl5OeXk50Wg0dfNXozdVcno5Wn2BQIDGxsZUe/LlMOe6FNPT0wQCAQ4cOIBer0/d/K/E8VwJA83DfOsvfoyiKLzny2+mev9is3r1O8jJybmkXPf1wML4za1btxIOh1PHs6+vD7PZvKgVrV6r+vr6mJqaoqGh4ZwpcFqNhl3l+Zdxj9aGYDDIqVOnKCgoWLPX7lqwsPNUWVlJKBRKHc/e3t4Vj+fFQCWjqsXcSmT03/7t3/ja177GY489dpWM/h/GVUL6MoBKFjcybm8lL9KpqSna29uprKyktLQ0GXl5nnnRRCJBe3t7ylLoclWB0rOsmK0mtDot9Qf3MDk2e1neF8BsM/HSQ41EQzEEUcBRmEkoEEGKJajaV8G2A1uJRxMceOWepLr9lp186uYvMD/lBgWMaQbC/gjxaAKv08drPvIKXvmnt/Iv7/g6PS/1MdE7TTgQZbh9jLlJN1Jc4v99+Dt8+dHPotEurxhKkkRBXTY5Aw6uf91hsnKyLmq/DAZDKt4wkUikWn3Nzc0IgpCq9K1VZHYhUKNMS0pKqKio2PQWNkuh2iK53W4aGhpSv4PVjieQOp6XUxUd8oWJReIoikzIH170N5/PR2NjI0VFRak42c0Ek8lEcXExxcXFi46nGg3rcDiIxWIEg8FlcawvFwQCAU6fPk1hYeGGfwdmszk1F60ez7m5OVpaWlJz5uo/ax2VUBcE5yKjX/nKV/jP//xPHnvsMerr6zdi167iZYKrhPRlAPXmJMvyht2oFlZIFUVhYGCA4eFhdu/enZp5UxQlValdiYxGIhGam5vRarXs379/wyyFoqEo9//HQ0T8UV7/iTux56az47ptfOybH0Bv1JFbls3JR09uyHuvhNlRF7Iso8gKOr2Wm956HTq9SNsz3bQ+3UX3i31nnufknr94NVlFmXz25x/j6I+fY7J/mrlJF+PdUwAEPCGe+eULvPmzr0OjFZHiEiF/mLmJeZ5/4ERyvlQAKZ4gEZeWEVJ13rK0voDXvPf/s3fe4VHUaxu+t6T3XkggIYEAAUISehFQQGoCKrZj99iwl8/usRwVFbseewMUCxA6YgGkikAaaRBISCFtN71sts/3R5wxSyqQqntfl9clm93Z2clm5pn3977PM7/L+i2VSiV+fn74+flZTPE275PsKssecfhn6NChbUaZ9mWaR4GOGzeu1b7ms4+n2Md78uRJ0tLSeqyPN3JqBFc/uRizyczoGX9Z64g3BKGhoYSEhHTb+3cVzY+nIAhUV1dz/PhxGhoaAMjKyjovi67epK6ujsTERIKDg3v8puzs4yku7Yt9++7u7lL11NHRsdV9E8VoaWlpm2L0nXfe4a233uKnn35i7NixPfXxrPRRrIK0j9L8D1wUoSaTqVsFqdlsljwGq6urmTBhAi4uLtLwktlsRhCEVsVoTU0NKSkp+Pj4dPvyavbRXA5uPIK+0UBo1EBmXjOFytJqjv6UwpDYwfiF+FB8vLTb3v9spAEnwM3XjZ8+24VfqA/ZR3IQzH+1aBefLOPjh1ax85t9uHm7suT+ubx6/f9Q5ZdLz1HaKggbE0J9VQMR48MpzCoidNRADm9LIjc1H4WNkulXTuKSf03DzsFS+DU2NpKcnCxFCHbXd6X5FK84ZKZWqykoKCAzM1Pq6/P19T3ni39hYSEnT55k5MiR/XL453yiQM8e2msrytTX17fLLZDkcjnj50dbPFZeXs6xY8f67Q2BIAgUFhYiCALTpk3DZDJJrSfZ2dmSRZe3t3evtUp0hChGxRWC3qR51G7zVony8nJycnIkFwRvb28pzUwQBE6dOkVpaWmbPaPvvvsuK1asYMeOHd3msW2lf2EVpP2A5oK0O99Dq9Vy+PBhZDIZkyZNws7OrsXwUmtitKysjIyMDMLCwhg4cGC3n+CDhw0gaEgAjQ06wsaEAPDh/StJ+uUYzh5OvHf4JYqKKrp1H9qivLCiaZilut5CjELTSViv1ZNx4AQyZFSVVVNXVW/xHJ9gbw5uPELmwWw+SHmVcXPH4ObjQmVxFb99dxB3XzdufOEqXL0se+FEs3U/P79u7fXL2H+calUt4+aPwdbetkX2tlarRa1Wo1KpOHnypHTx9/X1xcXFpc39EgdPCgoKWljy9BfESfQLjQI9O8pUFFOnT5/uUguk1igtLSUjI4PIyEj8/f27dNs9gXhDrdVqGTt2rFStHzRoUKtT5n3RQF5slRg0aBChoeceqdvdNG+VaO6CIKaZeXp6SlX/5pGyIoIg8P777/Paa6/x448/MmHChF76JFb6GlZB2g+QyWTdbv1kNps5deoUPj4+REZGolAoOjW8lJeXx+nTp6XEk57AztGWiAnh2NjZEBDWFBtZlqfCqDfSUKPBaDBy8vDJHtmXsxH+9JYy6ZvM7mXIpOMH4O7rSm1FkwgdHDUIQRDIPJAt/by8qBKT0UxlaTVHtiXz9QvraazX8tDnd/Bh6mvI5S3dDEQ/0cGDB0u9vt3BmewSPntsDY31Whrrtcy64aIWz7G3t5cuVs39OY8ePdpmLryY4FVeXs64cePaHTzpiOZ91o31Wv7YlsSAIQEMieneC7sYo9vVk+i2trZSlnnzKFPRAqm5mLrQFpkzZ86QnZ1NVFSU5DHcnzCZTKSkpGAymYiNjW31eNjY2ODv74+/v79F60nzVgnxmHYU3tEd1NTUkJSUJP0t93UUCgW+vr74+vpKLgjZ2dnU1NQgCAIZGRk4Ojqi0WgYO3YsMpmMDz74gOXLl/Pjjz92W9hLWzz33HM8//zzFo/5+flRWtpzK2pW2sYqSPsoZ4uK7hSkZWVl1NbW4u3tzahRo6ThJbEy2lpVtPnQxrhx43o0NSfxp1R2fL4bpY2SgcMGEDk1okmIyGXY2Cl56ap30Ne1b37fXdg52CKTy9DW60D4S6ACuPu54uzhTLWqFkdXRxRKhUVkKTR5lgLIFXLUZyqoKa/FqDeRfSSn1RjIM2fOcOLEiR6paNnYKlEoFShtFNjYdyx+WvPnVKlUZGRkYDKZ8Pb2xsvLi/QjWaTvPM6862ZfkBjdtWY/Oz7bxZTLxhN/z1w2vbeD7Z/uxMXDiRe3P46Hn/t5b7s96urqSEpKwt/fv8sseVqjeVhEcwuk06dPk56eft5RpoB0Y9lfq9NGo1Hy1eysaX9rBvJqtZrS0lJOnDiBs7OzdDzbq+53FaKjibjS1B9RqVRoNBomTZqEQqGgvLycX3/9lQcffBB3d3dGjhzJoUOH2LJlC5MmTeqVfYyMjOTXX3+V/t0XquJWmrAK0n5CdwhSMRc8JycHNzc3PDw8OjVJr9frSU1NxWw2M378+B43T/cf7Iu7jytKGwU+A70oyi5Bp9GjtFEgk8koPtl7d7uDRgQx97ZL+Pq5tWgbdDTWa6Wl+6gZkeSlFyKTywkI92Pn1/toqNFYbkAAeydb7Bzt8R/sy9xbZ1KtquWSs6qR4uBZYWEhMTExPSIi/EJ8uO+jf1NbXsfwyUPP6bVyuRwvLy+8vLwYNmwYtbW1lJaWkpWVxcblP1F2soLjv53m7UMvnPc09IENRyjKLmX/+sPE3X0pCqUCuVz253e4e3qauzsKtC3OtkASLXtUKpXUJylaSnXUKpGTk8OZM2eIjY3F1bVv+W92BjFBSqlUEhUV1WWtEmKfZH5+PkqlstX0LQCT2UxqbgkujvYMCfQ6r/euqqoiOTmZIUOGEBzcuh9sX0b8HhUXF7dwlbjpppu4/PLL+e9//8u2bdtwdnYmLi6O2bNns2jRIubPn9+j7SFKpbJftqP8E7AK0n5CVwtSs9lMRkYG5eXljB8/nsLCQkmEtlcZra+vJyUlBVdXV2lpv6cJjw7l8TX3olAqcfVyRtugY9iEIagLywmPCaUg6wwpOzN6fL+cPBwJHOLPxne2U1/dgLuvGyajCZ1GD8CeH36X0qIqzlTi5OZIXUU9crmMqJmRHD98CplMhtJGSeioYMbNi2ZyfFOzf9HJUr55YT2jZ47A3deVM6WFGOUGxo0bh9ysYO2KLTi5OXLprTMvOL88ZVc6P33xG1MvG8+Uy8Zb/Gzg8AsPOJDJZJInp7e3NwNCAqnMr8HGUcGBAwdwdXWVKlPOzs6dFnmzrp+GYDYzOX4cMpmMuHsuJSgigMAwf9x9u15odacbgMloYvP/fqKusp7LHlyAs3v79mnNLXuat0oUFBRYVFY9PT2ldgIxxlGlUrXa69cf0Ov1Fn27XdkqERgYSGBgYIv0Lb1eb+EqcfB4EV/+nIi9rZKnr5nJQF/3c3qvyspKUlJS+vUQWU5ODkVFRRZitPnPv/vuO1atWsXWrVuZNm0ax44dY+vWrXz66afcfvvtfPvttyxdurRH9vfkyZMEBgZiZ2fHhAkTePnll3t9cMxKE9akpj6KyWSyMMP//fffCQ0N7ZI7O71eT3JyMiaTiZiYGOzt7cnMzEQmkxEe3mSM3Vrykhjf1xe9IY1GI+WFlfiF+CCTyYh3vrHH90E0uLd8EJzcHGmo1lg85uLpjLuPK4XHi0EG8ffNxWeAFz99sZuik6U4uTmy/OcnOXEkh8jJEXz44Eoy9p/AzsEWpb0CJy9H/vPDwwSE+PHjpzv55sUEbO1seOCT2xk9Y8QFfY4Hp/yHvPRCHF0duOqxeGbfNB0H567rpxOXuH19fRk2bBiNdVoyD55g6Ngw7F3tJDFVXl7e7UM854uYQjZy5Ej8/Py6fPvJO9N47br/YTQaueapy7jsgfnntZ3mYkqtVksWXd7e3lRUVFBbW9tqjOO5vseJwzl4+LnhH9pzzgg6nY7ExEScnZ0ZOXJkj3w3BEGQlvbFNLNTVUZ2nSjHycGOZ669mMEBna+SVlRUkJqaSkRERLel2XU3zSvsZ7fcCILAF198wVNPPcXmzZuZMWNGi9erVCrs7e17pDr/448/otFoGDp0KGVlZbz44oscP36cjIwMvLzOr7ptpeuwVkj7KN3VQyoaLbu5uUnWQKKVk1qtlqaiz/aSFO14hg8fTkBA30sz+eaF9ST9ksbk+HFc9Xh8r+xDCzEKIEBDtQa5Qo7ZZMbOyY6ZV08m9beMJjFKU2+mSW/i25c3YDSYcHSxZ/SMEby77HNykvLw8HNj1PThKG0VaDU6TLUmzAYz2jodAH6hvji6OGBjZ4N30F+pWCW5Zdja2+AVeG5JWZFTIyg9rcKgNbD29S3I5DIWLZtz/gemGeIStzhBLJPJcHR1YOzcMdJzxMqUOMSjUqlIS0uTzLl9fX17dSK6eb9leylkDTUa6fN1RHVZDXt++J2wMSGMnDYMn2Bv7JxskevkBIadv+Bt3ioRERFBfX09ZWVlZGdnYzQacXNzo6ysDF9f3/Nuldj1zX7WvLgBB2d7ntv0CD5B3X9hF+NMPTw8GDFiRI+2Sjg7O+Ps7CylmQ0pU+FofwqjtoGiU5noa1oO7rWGaK81bNgwAgPbTl3ry3QkRleuXMmTTz7Jli1bWhWjQI/au82bN0/6/1GjRjFp0iTCwsJYuXIlDz30UI/th5XWsQrSfkJXCFIxxWTQoEFSBJ04vBQcHIxcLqewsJCsrCw8PDzw9fXF29ub/Px8SktLiYmJwd3dvWs+UBeTfSSXiqIqso/m9PautIrZ1DRkpdPocHRzoDS3KUlKrpBz0ZWTKDxejMlgwtZWycNf3oWqsJwP71+JYBYoL6pk5MxheAx3JnFdOhUF1QwdGyZlj8fMGsVzGx/BztFWEp8puzP48P6vsLFV8sS39zNgSFNlvbainjUvrkdpq+Tapy/D0aWlWLr1lWuZuCiWD+77En2jAXdfty45BqKl0LBhwzpVDTp7iKempkaykxInosU+ya4KAGgP0ei7uLi4w37LvPQCXr/5I+RyGY+uupugiPYFx5qXN7D3+99x8XTmjX3PEzQ0gNf3PIe2XtvhazuLTCbDwcGBmpoanJycGD58uDRlfurUKRwdHaXjfS7+nLXldegb9cgVMhqqNd0uSDUaDYmJiVKkbG+u1NjZ2TFoYDA3DGyyQBKr0RkZGRiNxjYDI0SnhL56g98ZOhKjq1at4rHHHmPTpk1titHexsnJiVGjRnHyZO+4slixxCpI+wkXIkgFQSA/P5+TJ08SGRkp3Y03H16ys7MjLCyMsLAwGhsbUalUkjG3XC5n4MCBPXLRP19GXTSc6rIaho4No0Zd29u70zYCJLyzXeolHTN7FIk/H6OmvBY3LxeWvXczYy4Zyapn1yKTSU9j76YD3PTyVVy6ZBanUwsYddFwiwtxYLhlK0fZaRWa2kZs7JSUn6mQBOnh7UkcSDiMXCFn6NjBqAsrcfVyZtYNF0nbk8lkjJw6jP+sf5i6ynrCu8AyqaCggFOnTjF69Ojzsgdrbs49ZMgQadm0qKiIrKwsXF1dJXHaHb2QZrOZrKwsKisrO9VvmXusgBpVDchk5KUXdigqnd2dUNoqsXOyQ2nbVPn1HnBule2OEId/FAqFNInu4uLSInpTjIbtrD/npbfMxMa2qTov3iR1F+IKT0BAAEOGDOlTbUMKhUKK1hw2bBh1dXUWgRFubm74+Pggl8vJzs5m1KhR3dLu0ROIA5Vjx45tVYyuXr2aRx99lI0bN3LxxRf30l52jE6nIysri2nTpvX2rljB2kPaZzGbzRgMBunfaWlpODg4SD2e57KdrKwsysrKLCqcHQ0viak/tra2+Pr6Ul5eTmVlpTS96+vre04DJ93NA5Of5kx2KXYOttja21BZUt3buyTRam9pK9g52nLNU4tJ/jWDsOhBZB48SeHxIuzdbLnx5SuZHj+l0++pqWtk4zs/4uTmyMJlc6RBp7z0At769ycobZWMuTiSrR/+gtJWyRNr7mPktGHn/RnbQkxsKSoqIjo6Gje3rqm2Nken00k9fZWVlTg4OJxXpa8tRLN1jUYj9Vx3REONhu+Wb0CuUHD1E4s77ME16Ayk7TtOcEQgPsFdX2EUTfsdHBw6TPESTc1VKhVqtRqdTtdjUabt0ZtRmheKVqulvLycoqIiamtrsbW1xd/fv8/1RncGMcCiLTG6Zs0aHnzwQRISEpgzp2tafbqKRx55hEWLFjFw4EBUKhUvvvgie/bsIS0trV/4vv7dsQrSPoogCOj1eunfmZmZKBQKIiIiOr0NMcZQr9cTExODg4ODFAMqVltbG16qrq4mJSVF8lUUT5bi9K5KpaKiogJbW1t8fHzw8/Pr1Qi+E4dP8cSlL2MymLCxb+rHNHdCAPYEcrms0/uitFNg1DX9XmzslMhkMkwmEwvvmc3iu+dj0BrwC+lcdfHEkRzeu+sz7J3seOybey2WURvrG9m15gCZB7JJ2ZWOjZ0N/936GMHDuraPrblXbUxMTI9McTev9KnVauRyucWEeVtCTBAEjHojNnaW/qri35AgCERHR1+w+XxvIPZbno9pf2tDPM1dELo6yrQtRMP40NBQQkJCuv39uoOysjLS09OJjIxELpdLw3tms9liab8vf8c6EqPffvstDzzwAOvWrWPu3Lm9tJdtc/XVV7N3717Ky8vx8fFh4sSJ/Pe//2XEiAsbBLXSNViX7PsJ57pk39DQQGJiIk5OTkyYMAGlUtkiBrQ1MVpSUkJmZiZDhw5t4YfX3OhcjIxrvsQnRkQ2t5bpCcry1MjlMgSFnIHDBlBf10BZTnnHL+wGxOElkWETh5CXUYimprH91ynlDB4ziOw/coEmMYdMhlyhwMPXjReveBNNXSMTFsSy5IH5HdoY5STnUa2qwcbWhsLjxRaC9PSxQta/sRWdRs8l103j0ltmSkv6XYXRaOTYsWPodLoe9apVKpX4+fnh5+cnJfGoVCqOHz8uTZiLYkq88JvNZt6983NOHD7FNU8t4aKlTekxYlXRzs7ugvwtO0tDjYadX+8jKCKQmFmjumSb9fX1kqPB+UTKtjbEIwqp3NzcHnFBqKqqIiUlpV8bxpeUlJCVlWXRstI83UitVpOXl0dGRgbu7u7SMT3fQbPu4PTp0xQUFLTZM/r999/zwAMPsHbt2j4pRgG+++673t4FK+1gFaT9BIVCgU6n69RzKyoqSElJISgoSEqOad4vKpPJWo0BFfuCxowZ06EFRvPIuOYX/szMTCmFRxyK6u4L+eiZkVKK0ez7p3D8yCkSnvmpW9+zLcwmMzb2Niht5DTW6cg8mN32k2Vg72iHtkGH2WimMKMIGzslBp0RGwcb9A0G5LYySspLUJdWUK9uYMuHP1N8qoSnfngQaBqSKjpVysDhA1DaNP05Zx/N4WRSLkPHhjF4TAgjp1pW1T0D3HF0cUChVDBy2rAuF6OirZhSqWTs2LG9VvE5O4mnvr4elUol9fS5u7vj6+uLjWBHxoHjVJfVcHRHChctndhtUaDtse71LWz76FdsHW1Zses/Uizu+SJmogcFBREWFtYllUw7O7sOo0xFF4TOpCV1xN/BFqm4uJjjx48TFRXV4rx6dsBBY2OjJPhPnjwpDZp5e3vj7u7ea6tQp0+fJj8/n9jY2BapfIIgsHbtWu69915++OEHi0l2K1bOBasg7aOcr+1TYWEhx48fZ/jw4ZLJckfJSyaTiYyMDGpra88rS/zsC39tbS0qlYpTp06Rnp6Ol5eXNHDSHeLkx093kpuaj62LDWdOFrPv06Nd/h7ngkFrwKDtxBOFpmz70tNqABrrddg722LQgVFrxM7RFv8QX667/yq83bzZ8OYO9Bo9FRWV/L77EMGDg1j56DpyU/OZctl4bnn5GgC+e3kjx/Zm4RXgwWPf3IOtveUwmn+oL89v/j80tdouX6YXhZyrq2uXeEOWF1Xyv3u/BAHufv/m8x70kclkuLi44OLiIg3uNe87HX7JYEqPVzDlynHU1taSnJzc7VGgZ+Pg4oBcKcfGRomtw4X9nYhVxe5c4m7NBUGtVpOTkyO5IIg/P59ceDF4oK1J9JRd6ax9fSuRk4dwzVOX9cme0qKiIk6cONGqGG0NBwcHgoODWwyapaamAlgMmnWF4O8MHYnR9evXc/fdd/Pdd9+xYMGCHtknK39PrIK0n9CRIBUEgePHj0uWNKI/YkdiVKfTkZKSglwuZ/z48Rc8SX/2HX9DQ4NFVUq0kzrfi1RrmAUzBqMBe7kto6NGs8vxjy7Zblfi4GKPtl6LRce2DIxGEy5eztRV1OPgZoeuvmmQzag3YTKaCQjzxcXDmSsfWsyURRPJOHCcnLQ8Viz5GKWdEkcPexoqGzmdno/RaESpVGLvbI/JYEJVUM7js17iwU9vZ+AIywQYr0BPvLrY+rA7hFzmwWxOp+ZL/y8up3cWo8HIymd+oCi7hBteWErIyKYlXwcHB4tko5EjR0oC9Y8//sDNzQ0vLy8EQegxoXP5QwsIGRmMf6jvOXvHNkf0t+zJ5J+zXRA0Gg1qtZqysrLzyoUXLcJGjRrVpk/lwY1HOJ2aT115HfNvm4W7X9cPzF0IZ86cITs7mzFjxrTrV9sWzdtPWhP8Hh4e0jG9kGCD9sjLy2tTjAJs2LCBu+66i2+//ZZFixZ1yz5Y+edgFaR9GHGpHdoXpEajkdTUVDQaDZMmTcLR0VEaXmpvkr6uro7k5GQ8PT27ZVmyef/Z4MGDpaqUeJFycXGRlv3Pd+ClpqYGv7HuLPGey7gZMQRHDOCxVXdz7/inuvSzXCiNdZYlU2dPJ8xGE+VnKpHLZQwcE4B3oBcZv2X/KUZNCGaBg5uOsnvNAWJmjWLP9wfxCvQgN6kAk9GMIBiYvvRi6mrrGDQhkN9++62pKjXYA6WtEoNWT+lpFen7T7QQpF1N8ZkSfvzmF2JnjOnSquKoi4YxfNJQ6f/PlYLMIg4kHKahRsPetYckQdocsTdaqVSiVqsJDg5GEASL9hNx2bQ7q1IKpYLx86MvaBuikIuMjDznVLfa8jqyj+YQMT4cF89zWyU5G0dHRwYNGsSgQYMsokzFXPjWokxFmi9xe3t7t/kekxePo+hUGSMmDcGtG6JhLwQxSCQ6OhoPD48L3l5bgl+tVpOdnS0Fmvj4+ODq6tolf395eXnk5eW1KUY3btzIHXfcwTfffENcXNwFv58VK9Yp+z6MXq+XBGlpaSm5ublMnjzZ4jniEqmdnR1jxozBxsamU8NL4nKYuKTX08tder0etVotTew7OjpK4rQzFRRomlrNyMggPDyc4OBgi9f0RnToOSPjL6NRwN7FDrlMzshpwzi8PRmEJpFy5WNx2DrYsuHt7Ti5ObJo2Ww2vfcTfiE+PLP+IWz/nAwXp6HzTxWwZ/UhSo9X4B3owS3Lr8XJ2YnUXRlETo0gYHDXeh+WlJTwv3u/4NSBAnyCvXhz3/MtptV7C22Djtdv/pCy0ypue/16Rk8f3urziouLycrKsogCbT5wolKp0Gg0F7wM3Z2IFblRo0adl9frS1e+zcmk00ROGcr/rbz7nF7b2UqyGGUqWkoZjUYLwV9aWsrJkyfPu6rYE5RU1nEwM5/o8EAG+7fcx4KCAnJycoiOju62IJH0vFISDmQSOySQOdFh0tJ+eXk5crm80x6ybSGmkbUVALF582ZuvfVWVq9ezWWXXdYVH8mKFWuFtL/QWoW0qqpKWiIdNmwYcrlcWqIXhWxrw0v5+fnk5uYSGRnZa8bMtra20nCE0WiU7KSOHj2KjY2NJE5ba+Rv/hlGjhzZ6pLe0PFhZB/5M7Wpr95ynbVfYhSoKr+cO9+6gT3f/07IyCAW3jmbrEMncfN2wcbehp+/3IOtvQ3/+s/lkhiFptQRJycnQkJCmDhtAmq1msLTZ/h5/U4yf81BnVPJwBEDePnHJ7vsBiQvL4+sY8cx1poxGc001mkxGc3Y2DXZcX300Cpq1HU4ujpwz/u3MGzCufnoXij2TnY89f39mE1mFMrWL8x5eXnk5ua2iAI9u/1Eo9GgUqkoLS2VKvyis0RP2R+1RfM40/OtyGnqGzHqjS2q+R2RUlTKm3t+J9jdjWdmX4S9TduXleZRps3N4/Pz80lPTwcgODi4z4n95ry36SApuSUMTHbng7vjkcv/+r2Lv4eYmJhu8dwV2XgwkwOZ+eSUVDBj9GD8/f3x9/eXBkzFymlzD1lvb+9OHdeOxOiWLVu49dZbWblypVWMWulSrIK0D9N8yV6pVFoI0qKiIjIzM4mIiJCsUDrqFxVN8svLyxk7dmy70Yc9iVKplE6ozfPLxUZ+sedUHAo4ceIEKpWK2NjYNk/6t732L45sT6GipIqdq/f12GfpCvIzC/niie/Qa/UUZBWx5IGFNNZrGTxmEHqtgUObEhEQWP/GVp76/oFWt2FnZ0dQUBBbVvzKH9tSMBqMyOTQqNOwb98+6ZienbctCE1RpW7eLi2GoZpzZEcKK5/7nsBIHypO1VB8qozQUQO5+eWrsXdqsnjat+4P8jPOYDKaqFEr+WNbUo8LUmj6O2pNjDY37W/vuyTi6OhISEgIISEh6PV66Sbq9OnTkv1RWzdR3YXojiFGOF7I3/Td795M6u4MYmaPPqfX/Z5XSF5lNVUaLflVNUT4ds7YXyaT4erqKq2INDY2EhQURF1dHQcPHmwzyvTE4VN8+9IGAsP9sXWwwc7JnssemI+dgy0lOWXkZRQSNTOy1VjcrsDZwRZbpQJne1ua/5qbD/9097k1dsgAThZXMHKQHw62f92UNh8wHTp0qLS0L6buddTLm5+f364Y3bp1K7fccgtfffUVV1xxRbd+Riv/PKyCtJ8gVkjFPO2CggKio6OlHquOxKjBYCA1NRWj0ciECRP6bAWi+eRu87t90UdSoVAgk8mIiYlpta9JZOjYMIaODaPwRBH71x9Gp+mcZVZP01qKk2AGfWNTKEJDtYbHZv+X+ooGZDIYHDUIeyc7TCYz4+aN6XD7Wo0Ok8GI3yBvLn94IcMmhGNWmlCr1aSnp2M2m6Xj7e3tzc5V+1j3xlYCwvx4+ocHWl16N5vNfP/6Rs5klVBTUouNnQ0GrQEnNweGTxwiPW/CwhgSfz6GTqPDI8CdqZeNv7CDdQ6oCyv4bvlGPPzcuOqJxdjYWp7qzjUK9GxsbW0JDAwkMDDQwpNXvIkSj+nZS6ZHd6SQdegUs2+8CP/Q1od1OosgCNLNmY+DP6k/ZzFu3hjphqAzGA1Gvn5hPcUnS/nXM5cz77ZLznk/Lh4ymMyycgZ6uDHYy/2cXiveFBQXF1s4fDSfME9OTrYIODi46QgnjuRwOq0QwWzG1sGWobGhjJw2nLdv/wR1YQUXXTmJm168yuK9knemse71rUROGXpBU/kPLJ5CWl4ZEUHe0jZEw/i2+i27mnnjIpg+KhR7WxuLCm1zZDKZxaqJeBNVXl4u9fKKS/uenp6cOXOG3NzcNsXo9u3bufnmm/niiy9YunRpd39EK/9ArIK0n6BQKDAajaSkpFBXV8fEiROlk3dHMaANDQ2kpKTg5OREdHR0t/uCdhXN7/YHDhxIYmIigiAgl8s5fPgwnp6eUqWvLXcAGTLcfVxQFejoi93SZ4tRJ3dHGqo1Fo9VFVejUMpxdndi3PwxPLP+IQSzGRfP9i98mtpGKkuqsXWwZdGyS5kcP076mZi3nbwnjT/WphA4xgdbVyWHfk2mqqwGAYHaynq8AiyXf41GI4f2/0FDTQNKGyUjpw1j9s0zSd2VTn1VA2/d9jHXP7cU7wGejLpoOB+mvHqBR+j82J/wB4e2JGLvZEfsnNHSYBRYRoGOGzfugm/OmnvyCoLQYslUNOO3Vzjw3t1f0FDdQOlpFf+3ctl5v6eYglVdXU3E4OG8dPnb1FbUU3SyhKufWNzp7RRkFXFwwxHqq+o5uPEIgyLPffgtwteL9y47d+9JUVCn/55F/WkdvrbF0u9JqVRSkllOwpvbGTltGJfcOoXy8nJOnDiBwk/Aa5A73gGeVJXUYmtvy4AhAQhmAZPRjNksYDK2HADdt+4PclKaAiPm3z67w3CJtnC0t2XCsGDpM+Tm5lJYWNihGBUEgb1pp6msb+TS2KE4XmCftWM7Kxit0fwmSuzlFW/2RY/rkJCQVkMsduzYwY033shnn33GlVdeeUH7fSEsX76cJ598kvvvv5+333671/bDSvdgFaT9BIPBIMWJTpw4EVtb2xYxoK2J0crKSlJTUwkKCiI8PLxPevV1RG1tLSkpKZKIksvlkp3UmTNnyMrKkkzOfX19LQRGUEQgzh5OlOX/mdx01iBRX0NT24hM3rSTcrkck7FpMC1oaCA3L7+ak0dz2bfuENOvmtzq6+sq69m79hADhgbg6GJPSU4ZjfVaVAUtk6v0WgNfPfY95UWVjJs3htvfvg5HXBAEMx6DXMk9c4p6fdMxdXBwQKfTkZycTM4f+VQV1iKXyxg9fQQxl4xEqZDz6vXvY9AaGBDuz5WPxXf4WQ8kHOZk0mnm3DSdwPCuNecfNj4cr0APXLycGTDkLw/L5lGg48aN63JfXLPJTE1RPSHhIQwZMkQaNCsqKqJSXYmNowKlRom7//kv6YqCurGxkXHjxqGr0//1d32Of94Dwv0Jiw6hLE/N6BkdxycWnSzFxdMZV68Lm8IXBEGqUKdvPsWJP3JI33OC13Y/I7WQ/LbmANlHcqgormTurRcTERHB0KFDGTNmDNMWTWqaMi8ux9XdlUYacBYcue+jWzmdVkhsK20HkxeP48yJEkZMGYqbz4VXMcV2iaKiolajNM/mVHEFH277g0adEbNZ4PKpIy94H86X5r28Dg4O5OTkEBAQQGVlJXl5eWzfvh1bW1suu+wyKisrueGGG/jkk0+4+uqre+0acuTIET755BNGjz63lhIr/QerIO3DiH/4Yo4zQHR0tCRG2xtegqap2xMnTjBs2LB+m3IipsAMHjyYQYMGScfEycmJ0NBQQkND0Wq1qFQqVCoV2dnZLeykoi6OJDe1AAEBhVKOyWDu4F17j+YV06DIQEpOloJMztzbZvLZo2soOlmC0kZBtaqWa55c0vSaP29Mkn5J49uXEig+VYa7ryvPJDzM1CsmoC4oZ8qSlsvlYtW1rrIeN29XnJycmHTJeCZdMh6tVitNl/+48lfqyjQMu3gwQYMDmXXZTP74/hgmg0mqaAUNC8QrwIP6mgaGju+4T7RaVcuqZ9dSraqhvqqee/53a5vPrSiuJG1vFnK5HF2jHqPeyMDhA4ic2rYN1PBJQ3l15zMobZXScr0oqG1tbbstCvTT//uavWsPMSR2MM9tfESyPXOUOZO5JZcFyy4BewGnQDsOHjwo9Z121qpHtHgzmUxSCpadnR0PfX4nZ7JLGHvpuV2s7RzteHTV3e0OfYns/eF3vnzqe5zdHXlh66N4+Lmf03uJmM1mMjIyqKmuIXLYSE5EFFB8sozAcD+L89jEuFgKsooYddEwXDybWipaizIV7Y/EKFP/KB/0gg6z2cFie2MvjWLspVHt7tuJM2p+zypkSuQghgS23Qsrtk6VlJQwduzYTrV8ONnbYmejRBDA3alvtEwVFBRIy/RiD7VOpyM/P59169bxySefIJfLmTJlCj4+PhgMhgv2qj4f6uvr+de//sWnn37Kiy++2OPvb6VnsArSPk5JSQnp6emEh4dz4sSJTvmLiifL4uLiFpPD/YmCggJOnTrVoRuAvb29ZHLe3E4qNzcXBwcHJl0XTWh0MHXlGr584rs+LUibk592BmjKud/yv5+pKa9r+t2bBBSKpgutpraRN//9MRVFlTTUaqg4U4lM/ucQj1ngpv9a9tHVVdZz4kgOw8aHU5BVxKK7ZuPo5siwZr2f0HRMg4ODUeptObxmNbUVdZj0JpyucaC+vp67V16Pt5c3Pv5N9kKe/u6s2PMs+kZ9ux6WO7/eR8aBE8y5aTo+wV6YjCaCh7d/s/TBfSvJOpSNQWdArlAAAl4BHjyychkb3v4RWwcbbl1+LY6ulkMsDs5/XfRFezQ3NzciIyO7LQr09LECtPVaCrOKLETe6ufXcWjzUZzcHHnvyHIc3eypqKhApVKRlJQk9Uj6+vq26s0JTdXd5ORkFAoFMTExFp6ogyKDzmu5Hdoe+jqbM9klaGo1CGYzlSXVHQrSoztSWPPSBkZMGsotr1yDXC7HbDaTlpZGQ30DR1ZlsOboFuLvm8sl191HQJhllXziolgmLIxpV6iLw3tBQUEWvbzHjh0Dzj3Z6J2NB8ktqST5VBHv3NW60bsgCGRnZ1NWVtZpMQoQ6OXKyzdfSm2DlmHB527L1dWI9lRnOwLY2dlx6623EhISwvXXX88tt9yCRqPhlltuoba2lksvvZRFixZxzTXX9Fgs8N13382CBQuYNWuWVZD+jbEK0j5Mbm4u2dnZREVF4evrS3Z2NkajEYVC0aYYNRqNpKen09DQwPjx43F0dOylvT9/xN6y0tJSYmJizsnL72w7qYqKCgpyC0lLzMB7kAehMUFkHzzdfTt/LnSyfcBsNFN8qgwAG3sbbO2VnDiaw//NeJ6omZHkpuTRWK/F2d0RB1cHPP3dKTxezEPTnuXNAy8Q2Mx39N27PiP7SA6BQ/wpL6zELAjc9dYN2Dm0XvUoLiyhuqwGwSwQFBTE9OnTpfzyrOwssrKzLAZ47BzaFqN1lfWsXbGFypIqjDojj66+m/R9x4mZ03ZVr6FGQ0NNw5+HS4ZcIUMuk2NjZ8Ox3Zkc3ZGCXCEnZtZopiwZ1+o26urqSEpKws/Pj4iIiG5dcrxl+TX8umov4xfEWIg8nyBPbO1tcfF0xs7BxiKFRxzeU6lUZGVlYTAYpLhdb29vbGxs0Ol0JCUl4eDgwKhRo3qlD3zebRdj0BnwHejN4KhBHT7/4KajTSK2RsNlDy3AzceF1NRUDAYDIyIiWX10E5XFVaTtyeLSm2e2uo1z+V2d3ct7PlGm/h7OlFXV4+fR+vdYPDep1WrGjh17zufXAV6uDPDqfXeTwsJCySu1NXeJ3bt3c8011/Dee+9x0003SY4vKSkpbN68mW+++YbrrruuR/b1u+++IykpiSNHjvTI+1npPayCtA/j5ubGxIkTpUZ5hUKBXq/HxsamVTGq1WqlJcnx48f32N1rV9J84ORCBbV40f/pgz0c+joVJzcHDAZDF+7tBXIevawGrQHBbCZ1dyYmowm93sjgqEGUF1VSll+OUW+gvroBs8mMtkFH1u/ZFoK0oUaD4U+vSbPZjGAW0GtbPybFxcUc3pOI0kaJ2STg6u1i4YIwfPjwFgM8YkXKx8enxffP0c2RkJHBCGaB4ZOG8OVT35G6K4PR25N54JPbW7y/yWTm1eveozRXxYhJQ5l3+8WYjQJypZzAwX7oGvX8unovNnY2hMeEtPoZxEz3QYMGERoa2u39bxHjw4lopWXhumevYOzcMQwYEoCdo+XQSPPhvYiICOrr61GpVOTn55ORkYGrqysajQZ3d3dGjx7dbdXdjvDwc+fGPyvugiDw66q9FJ4oZv7tl+A3qGXF76IrJ1Gaq2L45KG4eDmRnJyMIAjExMRgY2PD4nvnkvpbJgvumNXl+3p2slFDQwPl5eWSh6xof+Tr64uzs7P0vXh06UXklFQSFtByVal53+vYsWO7La6zuyksLOTUqVNtGvfv2bOHq6++mnfeeUcSo9B0TKOjo4mOvrA0sXPd1/vvv5+ff/65zzrDWOk6rElNfRiTyYTRaJSW6f/44w8aGxulKkBzD8mamhpSUlLw8fGRBn/6G1qtlpSUFJRKJVFRUV0mqNe8mMBPX+zGxdMZg8FIaY6qS7bbF3B0dcDeyZ7wmFASf07FZDDh7OGIvaM93gM8cfZ0or6qgXs//DdBQwMoOlnK3rW/EzDYFztHO8wmAaWtgs3v/8SEhTHE3X0pgiBIsYFDQofy/Qtb0Gl03PHWDS2m7kUEQaC+vl5ql6ivr8fDwwNvb2+05QZcPZxR5VcwYGgASqUCdz83Hpv1IqeP5ePi5cLd791MzKxRFtvUaXQ8NO1ZyosqiZwcwX0f/rtFXrleq0cml7ewdYK/+o+HDBlCcHBw1x30HqSiooJjx45JN6PnmgnfFVSrann3zk/RanTc+79bCQjzoyS3jGfjVlBbUce8f18sCdXWaN5qMGbMmF53+RDtj9RqNRUVFdjY2EjH9GxfXhExSraqqoqxY8f2W3HUkRjdu3cvS5cu5a233uLWW2/t9SHYjRs3smTJEovvjMlkQiaTNfWU63S9/n2y0nVYBWkfxmQyYTAYpOEls9lMTU2NNMAjCIJUiSosLCQ8PJyBAwf2+knkfKirqyMlJQUPDw9GjBjRpYJap9GR9EsaBzcdYe8Ph7psu30FhY2cgSOCOH2sAATwHuDJ5yfe4ocVm1nzwvqmIQo/N55ccx+rn19HfuYZlLYKFt83j/h75vLc4tdJ338cT3933j38EnkFpykrK2vX67WjqMjGxkbUajW7v9vPLx/ux6hrajUJDPfnpR1PYmtnQ/bRHD595GsKjxfh7ufOyz89iae/u8V2Dv+Ywof3fUlNeR0OLvbc+eaNTLtiQofHpLUo0P5GbW0tSUlJBAUFERYWJiWaiRGRzYWUo50jILPom+0q/tiaxAf3fYnJaOK6Z5cy99aZaOoaeXHpW1QUVXHVE/FcfO3UVl+r1+ulaOPRo0f3iHior2og4Z3t2DvaMXLaMBqqNcTMHtVqn6zZbJZaUNRqNSaTSbLpEtslBEFoGsKqqSE2NrbfilExWratNqh9+/axdOlSVqxYwe23394nriN1dXXk5+dbPHbzzTczbNgwHnvsMUaO7D2nAitdj3XJvg9zttm9Uqm0iN2rrq7m5MmT1NTUIJfLJbHa2Qb+vkJ5eTlpaWndtqxq52jHpPixfHD/V1263b6CXC5HW9cIQtMA1MK7ZtNQo8GoM0pdAWajiZ9X7iHz92zMRjM29kqyDmbjM8CLhpoGHJzsGD1jBB898SUu/k5c+8AVlOWUs/KjtQwbH46TmyM/fraTqZdPoKK4iv3r/yD+3rnMuWlGq/vk4OCAu5Mnldl1mPUCJoMZk8FMeWkF+/ftJ2jgAHzDfZm0eCyVH1bj5OaIvWNL/8OAUF9MBhMmgwlNbSPZR3M6FKT5+fnk5OQwZswYKd2rvyG2GoSGhhISEgKAjY0NAQEBBAQESEJKpVKx7+eDbHlpJzLk3PW/G4iaMrJL//5HTB5K5JQItA06omc1CQBHFweeWfcQtRV1+A70bvV1Yt+ro6Mjo0aNOq+bTJPJzE+f70ZTq2H+HbM6lb60P+Ew2z/6FV2jHoWNAmd3R659+jLm3DSDiloNP+xLQ6mQc8WUkXi4OODt7S1ZyjWPMs3IyMDd3R2j0YjRaGTcuHGtenT2BzoSo/v372fp0qW88sorfUaMAri4uLQQnU5OTnh5eVnF6N+Q/qNa/oEsWLAAX19f4uPjufjiiy3uzDUaDb/88gsBAQFMmNB0gVapVOTk5JCeni4NRbTWy9eXEK2pRowYQUBAQMcvuACmXzmRLR/80q3v0RPY2ttg0BsRzAIyuQy5Uk7p6XJkChkXLZ3I4vvn8b97vuTw9mSChgYQFhXChIUxGPRG9v7wO2ZTk8tA2r7jHNmRilFvRK6QU1JcSvb+07h5uTD/qjlsem8HBxIOk/xrGu4+ruRnnqH0tLpJDBVX8d3yjZw5UcyUJeNb7Zv87P++JvnXNJzcHFm4bDaCWWDouMF4h3mgUqmaKuKjHbni+XkMGR2OvXPLi31QRACXP7KQ/ev+wDPQg7m3XtzmcTnXKNCu5Pgfpzi48QhTLhtPxLiwC9pWeXk5x44dY+jQoQQFtZycNxqNPL/4DQqPF3PL8mvwtvNFW6PHZDJxZGcSVYZyi9CICxVRLp7OPLr6nhaPOzjbt1mR1Wq1JCYm4ubmdkErHhn7jrN2xWYMOiNObo6dSpIKHhaITNE00Y8BjAYTRn2TV/Ora/dwKKsAkNHQqOOBJX9VdsUoU1dXV8LCwmhoaGhyBGhoaLJVS0qSKtKdtenqC4hitK1l+oMHD3LFFVewfPly7rrrrn7zuaz8/bAK0j7MU089xbp163j44Yeprq7m0ksvJT4+npEjR/Kvf/0Le3t7i2ZvV1dXwsPDpaGIgoICMjMzpYuTr69vr3jItUZza6qYmBg8PFrvTexK/v3adWQn53Li95xuf6/upPkQkkwuQ9fQFDOKCVJ2prPuja0c3HiEhhoNukY9j31zLwOHDWDTezuApmMvLl/K5DKQgUwOngFuuHg44eLhjLO7E0PHDuboTylUFFdRo65FaaOgrrIeR1cHzGaBqtIatn+yk+yjp3nll6da7KdB31Shdfd1ZdGyORaixNfX12K6vERdRMFveXh7e+Pr64uXlxc2NjbIZDLi75lL/D1z2z0mFxoFCk1+p+rCSoaOG4xcLidldwY7Pt3F+AXRXPyv1pekoSkB6KMHV9JYryVlVzrv/vGSxc91jXps7W06daEvKysjPT2dyMhI/P1bDwtI33Oc9L1ZmM0Ca1ds5tVfn2H6lZMwGkxce/8VKOxlFvnloi+vj48PTk5O3S44GhsbSUxMxNPTk+HDh1/Q+3kGeuDgbI/SxohfSOeskiKnRPDIl3eS8NZ23H3dGD8/msl/OjDYKBQgkyFHhqtD20vvZrOZU6dOIQgC06ZNQyaTSZZSzW26xNjNvtrH2FyMtnaOPXToEJdffjkvv/wyy5Yt6xdi9LfffuvtXbDSTVh7SPsBZrOZI0eOsH79er7//nvUajURERHcdtttLF68GDc3tzZPJI2NjahUKsrKyqitrcXNzQ0/P78WiUY9iclkIj09nbq6OqKjo89LPJwPBp2BK7z/3aeTmroE8asgNP1/6KiBPPnd/RQeL+KjB1ZhMplY+mgcrp7OCEqBg9v/YMjYwcTdNI/89DN4Bnjg5ObAmewSVj+3jsSfUkEGPkFe1KhrcfZwQqFU0FCjwdbBlgkLYlj27k0tdqOipIrkX9IYMXloh0lMgiBQV1eHSqVCrVbT0NAg2fT4+vq2W+Vr7swQExPTqe+1QWdA26CTPFNPHyvgiUtfwmgwcc2TS7j8oQU8t/h1MvYfx2uAJ+8dfgmbZlGPm//3E39sTcIvxId96/5Ar9WjUCoYN3cMT3x7X9Pf7I8ppO89zqGtiUROieC+j/7dbqWwqKiIEydOMGrUKHx82hZfR39O4b+XvQXAJddfxH0fth0qIPryigM8dnZ2kjh1d3fHoDNwZHsK/oN9CRsTIr1OEARqVLU4eTjy66p9GPVG5t460+IYND+WgiBga29LQ0MDiYmJ+Pn5MXTo0C4ROOVFlWgbdAQN7dwKyu+bjrL5fz8xefE4Fi2bY/Gz6vpGdqXk4OJox4zRg7Fpo6/02LFjaLVaYmJiWtzEizdS4gCfXq+X+k7bizHuacTvU1ti9I8//mDJkiU8//zz3Hffff1CjFr5e2MVpP2IHTt2cNVVV3HNNdfg4+PDpk2bOHHiBDNmzCAuLo6FCxfi7e3d5omlefpOVVVVi0SjnkCn05GamopMJiMqKqpHT95fPvUtG9/Z0WPv15OIPoEASlslCkVTqhGAXCHnqsfiuPrJJagKyrF3tMPV24Xq6mqSk5MJDg4mLCzM4nvzyr/eI2P/CcJjQzl5NAelrQ03vXglyTvTGT8/huBhgdg52KJt0DFgqD9Km65dbNFoNJI4rampwdXVVRKnzb+rRqORlJQUzGYzY8aMkb5Ph7YksnbFFmIvHc21T11mse36qgZeuOJNqkpruP316xg3bww/vLaZNS8mIAgCkxbF8via+9j03g62ffwrUTMjWfbuTWTsP8Hnj68hOCKQzEPZVJVUYxYEzCYzSlslM66cxOybp9NQ3VSZ/uThryULLq8AD17f+xzHD51ErzUweck4KdwAmvpec3NzGTNmTAvxYDKZ+X3jEWzsbRg/P5qbh9xPVWkNAAFhvnyUuqJTx7S5cbxarQYgY1sOB79PxMnNkZd3PIn3gCa7o1XP/sCe739n0IggclLyMJsFbn31WmacFVlblq/mpaVvYTILLPvfjZRryxgwYIDF98lsNv/ZuuHEsAkdp3hBk8gtyy8nIMzP4jh1hqcXvMLxQ6fwCnDnf8mvnNN302QycezYMfR6vWRP1R6CIEjxsCqVirq6Otzc3CRx2lPn1bPpSIwePnyYxYsX8+yzz/LAAw9YxaiVPoF1yb6f8N577/H444/z2Wefcc011wDwwgsvkJ2dTUJCAitXruSBBx5g8uTJxMXFERcXR2BgoMWJRkzfCQ4Otkg0ysnJwcnJSRKnzX35upL6+nqSk5Nxd3dnxIgRPbrMdWhz4t9SjNo72yGXy9HUNuLo5sD4edFc9tB87J3sWRb9GEa9CbPJTOjogQDSAIpKpSI9Pb1NS6T8jEI0tRpqy+v4KuddZHI5CoWcGVdP6ZHP5ejoSEhICCEhIS3iIR0cHCSLniN7EzHrBC5dOstikOeXlXvJzyikRl1L/D1zcXL7y8+25LQKVb6axjot2UdyGDdvDFOWjGf3mgOYjCaufbpJwMbfO5dLrp+Gk5sjMpmMdW9s4XRaAUWnSgkeGgCCIPUnLrjjEqZeMZEXlryBXqtnUvxYZDJwcLLDN8SHi66YyOm0Aj58YCWCuamHd9oVE6Q89DNnzhAbG4uhwcTHD6/GO9CDxQ/MR6GQcyDhMJ8/9g1yuRx7RzsGjQyWBGnIqIFtHsNqVS35GYUMnzQEW3vbFsbx1dXVZP2Yi8looqGugWMpaUQQjo+PD8f2ZFGjrqXwRDG2DrYIZgFP/7+Ejclo4sThHLZ++DMFx4uRy2X8mvAbi+6Yw+DBgy32Y+8Pv/PVU9+jsFHy5Hf3WVRiW0MQBF7513ucSsrj4uumcuMLV3buS/Mn0y6fQPmZSibFxZ6zGE1NTcVoNHZKjEL7UaY5OTnY29tL4tTNza1H7PhEMdrazQ3A0aNHWbJkCc8884xVjFrpU1gFaT+gvLycjz/+mF9//ZVJkyZJj8tkMiIiInjiiSd4/PHHyc/PZ8OGDWzYsIHHHnuM2NhY4uPjiYuLazG9fnaiUXl5OWVlZeTl5WFnZyct63dV835lZSWpqamtVuO6m7rKOta+saXH3q8nkMnA1sGWRXfNYf2b20AGw8eH8+BndwBNVSn/UD+KT5YwYGgA4xfESK8V+8rai2S9460bObQ5kYuWTuzS6qdBb6Qg8wxBEYEW6VBms5lvX95AVWkNN714FQadge0f7yQgzI+Z106R4iHF9K2SkhJSf09j8wu7EEwCcp2SS2+4WLrgj18QTU7KaaJmRraIFB0cNYh5/76Y0rxyZt1wEQADhvjzQfIrfx7bv76bzu5NFa6K4kqyj+Y2BQlo9JScVnHvB7cyatpwasrrCAz3Iz+jEJPJjMloJjDcn7vfvwWFUs6Yi0cik8nIOHACuVyGGTk2dkqKTpZw+vRpzPbGplx6hS3bvtzOrm/2Ye9oR+TUYQybEI6NrRKZXI5MLsPGzobnN/4fq59fC8D1zy5t9TibjCZevvptSnJVTL1sPHe8eYPFz2UyGR4eHtzy7L8w1Jo5vC2ZH9/6DfvnbMjKyiL2ikicvByYedUUwscMxmw0MXDEXwNW37+yiR2f70bfqG+qzMvlDBocRGhoaMvfuc6I2SwgF8wY9cYOvyNGvZGCrCLqqxvISc7r8Plnc+ktM5l90/RzEn8mk4mUlBRMJlOLWNZzoa0o09TUVODco0zPleLiYkmMthYZnZSURHx8PE8++SQPPfSQVYxa6VNYBWk/wNvbm2PHjrV7gpXJZISEhPDggw/ywAMPUFpaysaNG0lISOC5555j+PDhkjg9e9BAqVTi7++Pv7+/dBIVM7abV1U8PDzO6wQmekIOGzaMAQPazy3vDp5Z+FqTR+ffCEGAEROH4uBij1whRy6XMaaZsbxcLuft318gNzWf8JhQaUk/NzeXgoKCNpfyRMbMjGTMzEiLxww6A0pb5QVdxD55eDWHtyUTMT6MJ7+7X3r815V7WfvaFgRBQNugwz/Eh60f/oKDqwPh0SGSGFIqlTg6OlJTU4OznSuYZRi0BrJSTmA/SCENRaXuTqexTkvW7ycxGU0WolqhkHPV44tb7Ft7n8vJzQmfIC/MRjNmsxmj3sTxQycZvyAGZ48m0RoyciD3/O8WclPzEASBAUP8CWiWkhU5JYKHv7gTg96Ijb0Nj1/6EoLZzCMrl5F7tID3ln2OQqlAqVTg4umM/59DPBPjYrF3tsPWzoYRk4cCbQtREZPRRF1lA431jaTtzaKqrPXseTtHO4x6I431WkqyVQzwCMbV14Wf03YTHTcCo2cjBeWn8fX1bbKXMyuoq6inoriKxrpGFLZKvEPcqS3VsHHFzwwMG9Qi4GDmtVOwdbDF2d2RoZ1wILCxs+HWV64l8ZdjzP7zhuFcOVcx2jxFqquEYntRpunp6Xh4eHQYZXouFBcXc/z48TbFaHJyMosWLeLxxx/nkUcesYpRK30OqyDtJ5zLCVYmkxEQEMBdd93FnXfeSVVVFZs2bWLDhg2sWLGCQYMGsWjRIhYvXkxUVJTFtpufRJt7HaalpSEIgvQzT0/PDvdJXI4sLCwkOjq61ZNkd1Jf3cDya9/5W4lRpZ0So66pypTx+wkyD2Vj1Btxcndk+lWTLJ5rY2tDxLimnj2z2czx48cpLy9n3LhxODu3nTnfGr9vOsrnT6xh0IggHl9zX6vJSM3Ra/Uc+y2TgSOCLHwqi7JL0NRqKDpZamGu7+Bi/9f/O9nhH+qLg4sDLh5OuPn8lf0t9r0OHDiQ0Gmh2BrtqVbVcOktMzFikFpQSovLMBlN6LQ6dDr9BVd57Z3seOnHJ1AVlrNz1V5+WbWXXWsOMH5+NJFThwFNx1iVX872j3fSUKPhjy1JvPzTkxbbiZw6DLPZzJq31mLQ6lEolNSq6inIPEO1qgaT0YzSVoFXoKeUSiWTyYi+ZFSLfWoPW3tbrn3mMv53zxeU5av55r8JLHv3Julv9sCGI6xbsZnAcH8uueEiTiXnUVFUyXvLvmD0jOH8+NkuHF0cePmnJxDszKjVag78dpD1T/+Erk7PlMvGIVfKMej1NFQIGLQGGuUytPXaFvuitFEy/cpJLR5vj4mLYpm4KPacXnM+GI1GkpOTkclkxMTEdFsbUWtRpmq1WooydXFxkcTp+bRMdSRGU1JSWLRoEY8++iiPPvqoVYxa6ZNYBenfHJlMhqenJzfffDM333wztbW1bNu2jQ0bNjB37ly8vb1ZuHAhixcvZvz48RYnZLlcLplGiz1nKpWKrKwsjEajNGTi5eXV4kRuMpnIzMykurr6vARQV/DSVW+TeSC7x9+3O1Eo5IiLnvrGv+yfDDoDjXVa3LxdW7ym+RT6+PHjz6sac/SnVKpKazBoDagLyik/U8mRHSlcdOUkhsS0XKZd/dw6fl21F3c/N97a/wL2Tk1T8re8cg371x9m3Nwoi4vi1MsnoNcaqCqrxivAg2/+m0DEuMHc8daNkiBtLQr0bDsmNzc3hgwZwqBPQ9j1/X48Ql34/dBB3NzcpOlyR0dHzgdnDyecPZwou2g4BzYcwdbBFq8Bf138TxzO4Zv/rqeush6ljQL7Vjw6jUYjqamphI4PZuplEzn2Wyb5mWeYefVk8tILOZmYi1ajw2hoe2k76/dsNr3/E2MuHsncW2e2+byoGZF4BXpQelrN/vV/4ObtwvXPNVVWN7+3g9xjBZxOK8D0Z49x+ZkKasprkcnkknD94onvUNoouW3FdbjI3fmufhvaOh35OYXIbWSYtWYadVoUCjnDJw9lQidFpMlkxqA1SN+L7iD3WD5yuYyQka332RqNRmkVqKcjTZ2cnHByciIkJMQiyjQvL69TUabNEe29oqKiWhWjx44dY9GiRTz88MM8/vjjVjFqpc9iFaT/MFxdXbnmmmu45ppr0Gg0/PTTT2zYsIGlS5dib28vidMpU6ZYNPWLPWceHh4MHTqU2tpaVCoV2dnZ6HQ6aanUx8cHs9lMamoqgiAwfvz4Xks3+TueeHUavcW/bR1tcfV0ZsLCWJzcm4RWSU4Zu9YcwNHFgX3rD+E+yIU5d09l3LhxrQ5q6DQ6Pvm/r6ksrmLAkAAUNgqWPrJIWooGmHPTdNQF5YTHDsY3xJsXr3wLVUEFOSl5vLzjyRbbrK9qwGQwoa3XNfUN/ik8wqNDCY9uKWBlMhmXXDcNgOcve4OKkir0WgNyedPvUGz7aMufUxAENr23g4LMMyz9vzgGhAVy/eNNwzCiu4RarebkyZPSAN/55sFPihtL0NBAHF3t8Qr8SwB4BXo09VIIYO9kz22v/cvidc0z3SdMGs++jxKpKKpk5+q9LLxzFk+vfZCSnDKSd6YTO2d0m++/7o2tpOxM58ThU0y9fLzU5wpQfKqUTe//xODRA5lz8wz+k/AIj13yAjXqOvau/Z2I8eF4B3ky5bLxZCfmSoNZN790NcFDAxg2aSgjJg0hbMwgik+Vsv6tbSDA4e1JzL5xOtc8uYTs1BwGTfVn4oJYvnt2M9oGHa7+zsxcNoGiojP4+Pjg4NB2opJOo+PFpW9RnFPGbSuu65ZK6LHfMnnz1o9ABo+uukdqdRAxGAwkJSVhY2NDVFRUr/qI2traEhgYSGBgICaTiaqqKmno0Gw2t4gybU5JSQlZWVlERUW1mkqWlpbGwoULuf/++3nyySf/ludEK38frIL0H4yjoyNLlixhyZIl6PV6du/ezfr167n55psxmUwsWLCA+Ph4ZsyYYVFVk8lkuLm54ebmRnh4OA0NDdJAVEZGBjKZDCcnJ6Kiono1au/pdQ9xe+Qj1FXUdcv2z/ZL641TvXegJ8t/fpL/3fcVd4z8PyYsiibpl3SqVTXS8r4iXUFBUjF27zkRfckoBEFgwzvbKcouZcn986goruKPrUk01mvJ2H8ChY0C32AvFtw5W3qfiPHhvLD1MYA/+yMDaKjWEBQR2Op+3fDCUoKHD2Bo7GALYdsZ5t46k8qSKqIvGYWrt0unokALs4pYu2IL2not9k723P7G9dLPmrtLGAwGqRqVn5+PjY2NhS9nZ1tjgoe1/Ny+A70ZNz+avT/8jsJGYfGFEGM0HRwcGDVqFAqFgomLYjiVdJrhk4bi+mdlOyDMj4Cw1gfNREbPGEFOSj7h0aE4nBWlufG9Hez6eh+H3JyImhmJf6gv8/59MWte2oAqv4JXr3sPVy9XHv7iTlw8namvbkBpq8AvxIern1wibWfy4nGU5Jaxb90fmM1mRkxq8hQdNS8CuzCZVI3TVhhI2Z3B4vsvJTDCV7pJdXZ2llZQzl6CLj2tJj+zCE2thmO/ZXaLIK1W1WD4c4CqWlVj8TODwUBiYiJ2dnYtWpZ6G4VCYbEqVVtbK1VOMzIyLPpOq6ur2xWj6enpLFiwgHvuuYdnnnnGKkat9HmsPqRWWmA0Gtm/fz/r169n06ZN1NTUMHfuXOLi4pgzZ06b3npi/razszNms5m6ujo8PDykC35vGfG/duP7HFh/pMu32xcEqYOrAw7O9lSVVCEIln6kFvsmlxE7ZzTPrHuITx5ZzbaPfwWhqXfzjjdv4KtnvkdTrUGmkGE2CsTfN5frn72izffVNeopOlnCwOEDUNooqSiuxMHFoUXWeFmemrL8ciKnRpyzn2TzKNDo6Oh2o0Drqxt48tKXqSqt4cYXr2TW9R0Pw5hMJiorK6XqqSAI0sW+tTaUzlBeVMm2j35h4IggZl7TZJElJhe5ubkRGRlpIYCMBiMKpeKcxUKNuhZnT+cWx/THT3fy3fKNeA3w5KUfn8DB2Z4DGw6z4sYPEMwCcqUcFw9nHvnqLlY9u5ayPDUL7pjF1U8sbvV9xNYBpY2SgoIC6cagvYE4UfSrVCoqKiqkJWhfX1/c3d0RBFjz3/XkpRdy3bNXENqOddX5YjQY+emL35DJZFx6ywwpmUyv15OUlIS9vT2jR4/uU2K0IxobG6XvamVlJQD+/v4MHDiwhRtKRkYG8+fP56677uL555/vUTH64Ycf8uGHH5KXlwdAZGQk//nPf5g3b16P7YOV/olVkFppF7PZzOHDh1m/fj0bN26kqKiIWbNmER8fz/z586UT4SeffMKRI0d49tlnpfxtrVaLSqVCpVJRXV2Nq6srvr6++Pn5tbuk19XUVtRz99jHqVV3baW0NwWprWPT0p0gCBj1JgSTaIqvkHK7z0Yml/H4N/ey5r8J5GeekR4fNDKYwqwzmE2Wn+iJ7+4jakYk5WcqCRziR+aBbBxc7KUld12jnpeuepu03zKRKeUEDw3kkuumkbIrnYV3zWbw6EE8NutFGmo1XPHwQhbfZ3lB0tQ24uBij9lspr6yAVfvv5bPBUEgKyuLiooKYmJiOmUw3livpa6y3mKIqrOIU9Di91VsQxEFamc8KVtDTC7y8fFh2LBh3S4MBEGgNFeFm6+rdHNgMpn59qUNFJ0sYUjsYPwGejN5yTg0tY2oCsoZOCKow5uF06dPk5eXR0xMTLs3Bmdztug3m80Wor87rI/aQq/Xk5iYiKOjI6NGjepXYrQ5paWlZGRkMHDgQLRaLeXl5ezZs4dTp04RFxdHeHg4l112Gbfffjv//e9/e7wyumXLFhQKBeHhTQOVK1euZMWKFSQnJxMZGdnBq638k7EKUiudRozUS0hIYMOGDWRnZzN9+nRcXFzYsWMHH330EZdffnmrr9Xr9dLFvrKyEmdnZwsj/p7gtevf58CGrq+U9hYuXs7UVdZLylhhK0dpo8T0p1l7ayy4cxahI4P56KHVkiekk5sjmrpGBLPlqeDqpxaT/EsapadVjJ4+gtTfMpHLZYyYGkFpThm6RgNF2SXS8x3dHECAxgYt/iE+XP3EYr588jvqqhoYOnYwL2x5FFt7Wza9t4O1K7Zg0Btw83GlRlWL0WAicspQnt/8KGazmfT0dBoaGjodBdpZBEHAbBbaFWBi+o74fa2vr8fd3V2q9Hf2Zqq2tpakpCSCgoJ6zHv3yI8pnEzMZfZN0/EJar294Vw427jfxcXlgrYlWh+p1Wo0Go1F5GZ3tvfodDoSExNxdnZm5MiR/VqMZmZmMnr0aLy9m268zGYze/fuZfXq1ezatYuqqipCQ0N5/PHHWbRokfS83sTT05MVK1Zw661tx9yeD4IgYDKZevTGxkr3YRWkVs4LQRBIT0/nxhtv5Pjx43h5eTF48GDi4+NZtGhRi5So5ohLemVlZVRUVODg4CCJ0/MZMuksZrOZiuIqPAPc+eqp7zjyYwruvm6cTMzFxsGG4dPCSdqa3i3v3R0olHJMRrPFYzK5rOk/GQwaE0ReYiHmZkJzSGwogyKDOLDhCI11TRY9coUcuULOhIUxuPu6suOz3ZiMJmRyGbYONug0erwHeFJTXodCqUDboG1RHpYr5Ng72aHXNk3+y2iaSh8zaxT71x1CJpMzcMQArnwsjq+e+o7iU2XS/jYXwpfeMoPxN4zCZDIRHR1tES0rCAKnjxXg4umMT3DrYquytJrtH//KwOEDuOgsqyGD3shr173P6bQCbnv9OmJmjcLGzoZN7+8g+dd0Ln9oAaGjBnIqJY9h48OlCfAqdRU5WafBsSnDvPnNlJOTU6vfV7F9JTQ0lJCQEIuf/bEticKsIsbPj+HYnkzCogfh7O7MgKH+FySUqsqqeWDyf9DUaJi2dCL3ffjv894WNB3v7OxsysrKiI2N7fIYTNH66Ox4WDFys6vOA6IYdXFxadEy0Z9oTYw25/jx48ybN4+FCxcSEhLCli1bSEpKYtKkScTFxXHjjTfi6+vbo/tsMplYu3YtN954I8nJyYwYMaLLtq3Valm2bBlXXHEFc+bMsYrSvwFWQWrlvKiqquKyyy6jtraWzZs3YzAYpMrp77//ztixYyUj/pCQkDYvLiaTSeo3U6vV0pCJn58fbm5u3V5Vyjx6nJXP/8CQ6FBuee5fyGQyvl++iW9f3tCt73shOHs4Ul+lafG4wlZBxIRwHBztMOiNzL9nJmuebxpm0dfrsbGzwag34uDqQMTYMNL3H0fXqEcul+Pk7sjDX9xF9CUjucrvdrQNOgBs7G0waJsM8QVBwCfIk9LT6pbvbaMAQUAQBLwGeNJQrcHW0ZZZ101j5+p91JQ3tUsEhvsz99aZbHh7O3ZOtrj7unEq+TR6TZOQ9Qxy4941NzF69OgWF5jfvjvA549/i72jHS/teKLVpfnPHvuGn774DUcXe1755WmLAaHC48U8eelL1NdomkziBYFrnlrC18+vo66ygeGThqBv1FN0spQxl4zk0VV3k77/OCtu/ACdRsfUyyZw08tXUl1bzdfPracws4iZt01i9NRIfH19pe9reWFYTYkAAFabSURBVHk5x44dY+jQoVL7Slm+moLMIvxDfXhq3ito67V4BXlSfqYCwSxg72THgjtnc02zwaJzpbFey//NfIGq0moW3DmLa5+67Ly3JQiC5FsbGxt73lZZnUWn00nngcrKSilys/lxPR+0Wi2JiYlSXHF/HewpKysjPT2dqKioVsVodnY28+bN47rrruPVV1+VRHdRURFbt25l8+bNvP766wwfPrxH9jctLY1Jkyah1WpxdnZmzZo1zJ8/v8u2bzAYmDNnDnv27CEsLIyPP/6Y6dOn96pbgpULxypIrZwzZ86cYfbs2QwZMoRvv/3WonIiCAIlJSVs3LiRDRs2sGfPHkaMGEFcXBzx8fHt9tGZzWYpJUqtViOTySxSorq6siH2YkVEREjCAZp67r584luyj+Zw5kQJDTUtxV9fY8Ql4VxxfxyxF0dJj+36Zj+fPLwavc6AIAgobZXIFTLcAlww68xUFtUgIGBjq0RhoyBycgRPr32QTe/vYPVz6/Ae4EnIyCAyD2b/WRnV4eHnRvGpMgRBwC/Uh6AhAeRlFFKjrsNkMoG5ScQGDQmgtqIOTV0jYy+NAhmk7MpgypJx3PnWjUBTRe8/i16jrrIBhY2c8jOVyGQyZt84nbvfu7nFZ/zh1U2se2Mbtg42PLP2QSLGh7d4zpb//cwPr23CxdOZV359Blevv9pBTCYzn/3f12QdOklZnhqdRs/Uy8ej1ejIPJCNyWhC26BFJpcTMNiPGnVtU0vEnyhsFMy4ajLRs0bx/t2fo9cZmLp0PHMfuIiU39LJ2n2KyOkR5GcUMmDgAK75v8tQ2ijR1DXy0NRnqVHXMv3KSST9mkZDtQa/UB+KTpagbzQgk8sYe2mURXrV+VBVVk3xqTKGTQiXBnnOFbPZLHkIx8bG9mi/N2CRFldeXg4giVNPT89Oiw5xmMzT07NFOl1/oqysjIyMDEaNGoWPj0+Ln588eZL58+dz1VVX8frrr/eJCrBer6egoIDq6mrWr1/PZ599Jl0LuoKvvvqKVatW8cYbb/DYY4+RkZHBypUrmTlzplWU9mOsgtTKOdPY2MhHH33Efffd1+4fvyAIVFZWSilRv/76K4MGDSIuLo7Fixe3O+VqNpslI/6ysjJpAvpcL0pt7Vd+fj65ubltnuRFvnzyW37+ag+6Rj0mQ+t9mT2FXCFDrpC36A/1DfPi3UMvtRAOZ7JLeOmqt9HUajAZzHj6u/PoN/egdJTxn3krqCyuxjPYHcEoUHGmGp8gLz5OW2GxDbPZTH2VBrPJTE7KaarLalj5n7W4ebvw8s9P4eLhREFWEW/9+2MMOgPVqho0tY0IgoCNvS2C2UzsnCgeXX03VaXVeAb8FT977LdMXrnuPfRaAyGxgZw8kP/n55SzvurzFt+N+qoGtnzwM14DPJh94/RWBYbZbCYnOQ/vIM9WozLF56x+di3ZR3O57j+XEzEhnL1rD/Hxg6swGoyMnDYcG1slf2xNanbs5SiUCkZMHkpBVhE16lrsHGx58LM7GDDEn4emPYtOo0emkCGYBGQyWPjILBbcPgs7uT0PT32OhhoN066YyJWPxVF2Wk1o1CCO7c6gsrSawuNFzL99FiEjgzv3ZegmxP7d+vp6YmNje9W2Tdyf6upqaWlfp9Ph5eWFr68v3t7eFi0dzWlsbOTo0aN4e3v3yDBZdyFWRkePHt3qeerUqVPMnz+fK664gjfffLNPiNHWmDVrllTJvFAEQeDgwYNkZmZy2223ATBnzhzS09NZtWoVM2bMsC7f91OsgtRKj1FbW8vWrVvZsGEDO3bswNvbW4owHTduXJsi8+wJaL1ej7e3N35+fuc8qSsIAidOnKCsrIwxY8Z0ODFsMprIPVZAYJgf+ZlnePmqd2ioaRJo3Y2tky2uHs5Uq2rxCvTgwU/vYN+6Qxj0BoxGI6pSNV4D3Llrxa04OLQ++GP4szpao67Dyd1RmrwuySkj48AJIqYM5njySQ4mHGHQuEDGzBzZ4cW+uqwGRzcHbO1b/ryqrJoXl76FurCSS66firO7MxddObHVARuD3sjnT3xNTmYeF18/hU/v/haTwUTQsED+d3T5BRy5c8doMLLh7R/RNui4/OEF5CTn8c4dn6Kpa2RS/FimXzmZ7COnGHnRcF659j0a67XM+/fF3PTiVWQfzeHJuS9j0BqRK+WYjWaQwRVPLyD8omAaGhqoK2ik5kw9c2+6BP+BPdvH11lMJhPHjh1Dp9MRExPT5u+/t2g+bKZWq6mrq2s1gUuj0UjOBhEREX9bMZqTk8P8+fNZsmQJb7/9dp8VowCXXHIJwcHBfPXVV12yPZPJ1LTq0+zcP3fuXFJTU1m5ciWXXHIJCoWCAwcOMHr06AsaxrPSc1gFqZVeQUyJSkhIYNu2bTg4OLBw4ULi4+NbpEQ1RxAE6uvrKSsrQ6VS0djYKFVMOrLnESM0xentC1mKrC2vo766gcdnvUhDbSPOHk54D/CgsrSKyuKajjfQAf6hPjyz7iHsHO0oOlXKqGnDpCVYjUZDcnIyLi4uXToxXF9fbzFZLppw+/r6ntOku65RT31VvUWKUWucHQVaU15HZWkVIZHBfVpEnDiSQ+HxIqZeNgE7R1tycnL4dc1etMUGpsZPYOc3+/Eb5M2NL16FTCZDo9GgVqtRqVQWwzviUFRfwGQykZKSIg2Tna/NVU/SPIGrsrISJycn3N3dKSsrw9/fv1+LUZVKRVpaWpti9PTp08ybN4+4uDjefffdPiVGn3zySebNm0dwcDB1dXV89913vPLKK+zYsYPZs2d3vIFzxGg0SsJ0wYIFJCYmsmrVKlJSUnjvvffYtm0bo0e3nXxmpe9gFaRWeh29Xs/OnTtJSEhg06ZNmM1mFi5cSFxcHDNnzmx32VCsmJSVlVFfX4+np6ckTpu/Tq/Xk5KSgkwmY8yYMV12wU3ZlU7usQJmXTcNV++mu/An5rxE5sFsoGmKXKGQY2Nvg6OLAw98djsHEo6w65v9yOVNS/CNdVo8A915Zt1DmAwmgocFYufY+meura0lOTkZPz+/br3giibcooesi4uLxWT5hVJSUkJmZmabUaD9AbHarlKpiImJ6ZR9mV6vl45rZWUlDg4Okjg929y8pzAajSQnJ0t/G/1xudNgMFBcXMypU6cQBAFbW1tpYt/T07NPCbaOEMXoqFGjWp2Kz8vLY968eSxYsID333+/z322W2+9lZ07d1JSUoKbmxujR4/mscce6xYxKtJclC5evJgtW7YgCAKrV6/mX//6VwevttJXsApSK32K5ilRGzdupK6ujksvvZT4+Hhmz57drhhqbGyUKnw1NTXScp6rqysZGRm4uroSGRnZ7U3vOSl5vHr9+1SVVAOgtFUSf+9c4u+di4OzPfXVDez4bBf+ob5UldXw85e/sWjZHObcPKPd7VZUVHDs2DFCQ0MZNGhQj4mX5iKqoqICR0fHC7LpKigo4NSpU21GHvYHumLwx2g0WgzvKBQKSZx2xxBfa/SlTPcLob6+nsTERAYMGEBoaKjUd6pSqTAajVLIQWt58H2JjsRofn4+c+fOZd68eXzwwQd9Tox2BwaDoVO/M5PJhEKh4LPPPuP2229n48aNxMXFIQhCv62U/9OwClIrfRaz2cwff/xBQkICGzdupLi4WEqJmjdvXrsVJZ1Oh0qlori4mNraWmxtbQkODsbPz69Hlkl1jXpOJebi5utKbXk9ERPCzzk6szliRXH48OEEBraeH98TGI1GyZ6nvLxcsukSYyHbO/E3N1nvKAq0L2M2m0lLS0Oj0RATE9Mlgz9ms5mqqipJRJlMJry9vfH19e22RCMxucjBwaHfxWg2p66ujsTERIKDgxk8eLDFd1AQBOrq6qS+04aGhj4RZ9waHYnRgoIC5s6dy6WXXsqHH37Yb39f50NZWRm1tbUMGTKk3ef99NNPzJs3jy+++IKbbrpJilG2CtL+gVWQ9lHy8vL473//y65duygtLSUwMJDrrruOp556qs8NG/QEZrOZ1NRUyev05MmTzJw5k/j4eBYsWICXl1eLk05ubi55eXmEhoZiZ2dHWVmZtEzq5+cnpUT19ZNVfn4+OTk5bRpi9xZiLKR4sYe/7Hm8vLwsLphiFGh5eXmnl7f7ImKvpdFoJCYmpluqbYIgUFtbK4nTxsZGPD09uzTRSKvVkpSU1O+Ti0QxOnDgQAYPHtzh88VVFLVaLYUciN/Z3jwXqNVqjh071qYYLSwsZN68eVxyySV89NFH/baSfS7cc889hISE8K9//YugoCDef/997rrrrnZfk5OTQ1FRERdddBGAtTraz7AK0j7Kjh07+P7777nmmmsIDw8nPT2d2267jeuvv57XX3+9t3evVxF79xISEkhISCA1NZUpU6YQFxdHXFwcAQEBvPLKK3z66afs2bOH4OC/rHTOrvDZ2tpKRvy91cPXFoIgcPLkSYqLi/t8RbG5PY9KpcJgMEgVPk9PT7Kysqivr7/gYbLexGAwkJycjEKhICoqqsd6LcVEI5VKRW1tLW5ubpKIOh/DetGf08PDo1+bxYvRrIMGDSI0NPScX6/X6ykvL0etVlNRUSFV+318fHB3d+8xkS6K0ZEjR+Ln59fi50VFRcydO5fp06fz6aef/iPEqEql4umnnyYpKYmcnByuuuoqPvroo3MSmFYx2v+wCtJ+xIoVK/jwww/Jzc3t7V3pMwiCQF5enkVKVEREBGfOnOHtt9/mqquuajclqrkRv0KhsFh+7s2qkdlsJiMjg5qaGmJiYro9Kacrab5MWlZWhkajQalUMnjwYAICAvplhV+n05GUlISDgwOjRo3qNVGg0+kshqKcnJwkcdqZft6/iyVSTU0NSUlJDB48mEGDBl3w9sRqvzi1LwiC1HfaXS0T0LEYLS4uZu7cuUydOpXPP//8HyFGRU6cOMGECROQy+U89dRTPPzww8BfvaJW/n5YBWk/4umnn2bHjh0cPXq0t3elT6LVarn66qsl77m9e/cSGRlJfHw88fHx7V6AxR6+srIy6YIkitOentI1Go2kpqZiMBiIjo7udXPy80Wv15OUlIRcLsfLy4vy8nLq6upwd3eXKlH9oVra2NhIUlKSNBTXV5a3DQaDxVCUjY2NJE5bu6ESB38CAwMJDw/vt2K0urqa5ORkwsLCGDhwYJdvX/Q9FoW/Vqvt8pYJ6FiMlpSUMHfuXCZNmsSXX375jxBhzauaKSkp7Nmzh9OnT3Po0CHi4uJ48sknAcupeit/H6yCtJ+Qk5NDTEwMb7zxBv/+9797e3f6HFVVVSxevBitVsuWLVvw8fGhoqKCzZs3k5CQwK+//kpoaKgUYdreEIcgCFJKVPMpXdEwvjsvDDqdjuTkZGnqub+edEURd7ZXqlarlY5rczspHx+fPtlX2tDQQFJSUp9P/DGbzRb9vGKFT+znFT9Ha4M//YmqqiqSk5Ml79qe4OyWia7wkS0vLyc1NbVNMVpaWsq8efMYN24cX331Vb89D5wLosg0GAwolUpMJhNKpZKioiJeeeUVDh8+zOLFi3niiScASExMxN7ensjIyF7ecytdhVWQ9jDPPfcczz//fLvPOXLkCGPHjpX+XVxczPTp05k+fTqfffZZd+9iv0MQBCZOnIi/vz/ffvttq8vbNTU1bNu2jYSEBHbs2IGPj48kTjtKiaqtrZVElFartRCnXTnU0tDQQHJyMm5ubn2qEneu1NfXk5SUhI+PT7siTuzhaz5s1tuenM0RexSDgoIICwvr9f3pLGcnm+l0OqniP2zYsH7ZMgFQWVlJSkoKQ4cOJSgoqFf2QWyZEM347e3tpRsqNze3Tn1HysvLOXbsGCNGjGjVg7e0tJT58+cTExPDqlWr/hFiVKyMlpeXc91110lV6eeff55Ro0ZRVFTEq6++SmJiImPHjuWiiy5i6dKlkrWTlb8HVkHaw5SXl1NeXt7uc0JCQiQ7kuLiYmbOnMmECRP46quv+q1I6W7S0tIYMWJEp6qXDQ0NFilRjo6OLFy4kMWLFzNlypQ2LwBidKGYEtXQ0GCREnUhF/qamhqSk5MJDAxkyJAh/Ub8nI24nCpOPXf2c5ztyalUKttdfu5uxM8RGhpKSEhIj753V1JRUUFKSgqenp7o9fp+2TIBTZ8jNTWViIgIBgwY0Nu7A/z1nVWr1ZSXlyOTySwG+Vo7F3UkRsvKypg/fz5RUVF8/fXX/wgxKvaE6nQ6Ro8eTVRUFIMGDSI9PZ3ff/+dn3/+mfHjx1NcXMyHH37I9u3bqays5LHHHuPOO+/s7d230oVYBWkfpqioiJkzZxIbG8vXX3/9j+gh6ml0Op2UErV582YEQWD+/PksXryYGTNmtNsvptFopCpUbW2tdKE/16hN8SIVFhbWJQMavYX4OcLDwy+ot6+15WdRnLZ1oe9KxM/Rm5W4rkD8HM1FnNgyoVarqaqq6jO2R+0hfo5hw4b1qgdvezR3mVCr1eh0Ogszfltb2w7FqEqlYv78+YwaNYqvv/66Txv4dzUNDQ2kp6ezdu1ayUUmLy+Pxx9/nM2bN7N7924mTJhAXV0dBoOBqqoqwsLCAOs0/d8JqyDto4jL9AMHDmTVqlUWF+H+GrXY1zEajezbt4/169ezadMm6urqmDt3rpQS1d6k+9m9ka6urpI4be91xcXFZGVl9esITfjLuH/EiBEEBAR02XbP7ucV7aTEAZOuriCVlZWRnp7e738fKpWK9PR0hg8f3ubvw2AwSAKqvLwcOzs7i6p0X7jIq9Vq0tLS2v0cfQ1BEKivr5f6Tuvr63FycqKhoYEhQ4a0etOpVqtZsGABw4cPZ82aNT0uRpcvX05CQgLHjx/HwcGByZMn8+qrrxIREdHt7202m1m2bBmffPIJ06ZNY8+ePdLPCgoKeOyxx9i6dSs7duxgypQpFq+1itG/F1ZB2kf56quvuPnmm1v9mfVX1v2YzWYOHTokpUSVlJQwe/Zs4uPjmTt3brs9jnq9XhJQojWPaMTv5OSETCaT7Kry8vIYPXp0v43QhL+iQLvbuF+80ItOCA0NDXh6ekrC/0J7I4uKijhx4gSjRo3Cx8eni/a65yktLSUzM5ORI0e2arLeGu2FHPREVbo1xOSitgZ/+gslJSVkZGTg6OiIRqPBycmJvLw8BgwYwNSpU6msrGTBggUMHTqU7777rlcqo3PnzuXqq69m3LhxGI1GnnrqKdLS0sjMzOyRZLu9e/fyzjvv8Msvv5CamkpoaKgkNgsLC3nooYdYv349ZWVleHt7W0Xo3xSrILVipQPElKj169ezYcMGTp06xcUXX0xcXFybKVEiBoPBwohfHIJobGyksrKS2NhYXFxcevgTdQ3No0DHjBmDu7t7j75/a4bxojg9197I/Px8cnNziYqKwtPTs5v2uPspLi7m+PHjF3RzYDabLYaiDAaD1CvdU1nwYqW6reSi/oLY+ypWeEWrrhdffJHvv/8eR0dHPDw88PHx4aeffuozThNqtRpfX1/27NkjpR51Fc19RJtXONPT01m2bBn5+fns3r2bwYMHSz8vKCggJyeHmTNndum+WOlbWAWpFSvngCAIHD9+XEqJOnbsGFOnTpVSovz9/ds14lepVJw6dQqtVoudnZ1UOe0rS6SdRTwOarW6T0SBarVaSZyKvZGiOBWr0q0hCAK5ubkUFhb2+TSsjigsLOTkyZOMGTOmy0S1WJUWxWlPZMGLYnT06NH9ulJ9thg9m6KiIm666SYqKiqor6+nrq6OefPmsXjxYubNm9er38VTp04xZMgQqULdVYhiVKPR8Mwzz3D69GmCg4OZO3cu8+bNIz09nYcffpjs7Gx+/fVXwsLCWizLm81m63Dv3xSrILXSKV566SW2bdtGSkoKtra2VFdX9/Yu9Trisvv69evZuHEjhw4dYty4cZKd1KBBgyxOpOXl5Rw5cgRPT0+ioqIslp9lMpkkoDw8PPr0CddsNpOenk5dXV2fjAIVeyNVKhUVFRVSVfpsOykxglalUvUJUX0h5OXlcfr0aaKjo7u1Ui1mwatUKmpqarrcR7akpISsrKx+3zYhWlS1NYhVWVlJXFwcAwYMYN26ddja2pKYmMimTZvYtGkTx48fJy8vr1eGuARBID4+nqqqKvbt29fl29dqtURHRxMUFMTs2bM5ePAgR48e5e233+aKK64gMTGRZ599lqNHj7J7926GDx/e5ftgpW9iFaRWOsWzzz6Lu7s7Z86c4fPPP7cK0rMQBIHi4mI2btxIQkICe/fuZeTIkcTHxxMXF4ednR1xcXHExMTwxRdfWPTkiRO64oXeZDJJ/XteXl59yl1BTJEyGo1ER0f3eU9Lk8kk5ZWL8bDiQFRJSQk1NTXExsb2OVHdWZpXeGNiYnB1de2x99br9RYxpufjydkcsd0gKiqqX/dUdyRGq6qqWLRoEQEBASQkJLTq5JGfn99rjht3330327ZtY//+/V3qMiFWOh966CGOHz/O9u3bAbj88svJy8tj48aNUthBamoq99xzD7fddhs33HBDl+2Dlb6NVZBaOSe++uorHnjgAasgbQdBEKioqGDTpk0kJCTwyy+/4ODgwMiRI1m+fDkxMTHtpkQ179/T6/UWRvy96Uuo1+tJTk5GqVT2yxSp5vGwJSUlmM1m/Pz88Pf373PCvzMIgsCpU6coLi4mNja2Vyu8zT051Wo1crncYiiqo4q/OFD2dxej1dXVLFq0CD8/PxISErql5eFCuPfee9m4cSN79+4lNDS0W97juuuuIyYmhoceeoilS5eSnp7O9u3bCQ0NJS0tDZlMxsiRIykvL+/WIUkrfY/+dUWxYqUfIBpk33rrrQwfPpzff/+diy66CLlczvz58/H19WXRokUsXryYsWPHWgghmUyGu7s77u7uDBkyRFrWz83NJSMjA09PT/z8/PDx8enRaVwxCtTZ2ZlRo0b16ZaCtpDL5bi7u5OXl4eTkxNhYWFUVVWRnZ0t+Ub25ODOhSC2G6jVasaOHdsjk9DtoVQq8fPzw8/PTxL+arWazMxMTCaTxVDU2TcyZ86cITs7u0t7X3sDUYxGRES0KkZramqIj4/Hx8enz4lRQRC499572bBhA7/99lu3iFGj0SjZuBmNRu69916OHTvGtm3bCA0NRavV8u233+Lv78/w4cMlMWq1dvrnYK2QWjknrBXSzrNlyxauueYaXnvtNZYtWwY0TYbv2LFDSolydnaWUqImT57cbtWxoaFBqpzW1dVJwyW+vr7tGvhfKJ2NAu3rGAwGkpOTkcvljBkzRjrWrQ3uiHZSPj4+3XpszwdBEMjMzKSqqqrPtxuI0bvi0r5Go7E4tuKQ35gxY/Dw8Ojt3T1vqqqqSE5ObjNJqqamhsWLF+Pm5samTZv63O9s2bJlrFmzhk2bNll4j7q5uZ33vorZ9Gfz3Xffce211+Lh4UFBQYF0M7Vv3z5uuOEGXnvtNZYuXXp+H8RKv8YqSP/BPPfcczz//PPtPufIkSOMHTtW+rdVkHaOgoICRo4cyZdffsnll1/e6nO0Wi07d+5kw4YNUkrUggULiI+P7zAl6uzhkguxPGqP6upqUlJS+l2e+9nodDqSkpKwt7dn9OjR7S7Pn53A5ebmJi0/txdy0BOYzWYyMjKkgbK+VGXrDM2tumpqagAICgpi0KBBvX5sz5eOxGhtbS2LFy/G2dmZLVu29DkxCrT5d/3ll19y0003nfP2xEl4s9nMU089RX19PWPHjmX+/Pn4+PjwxBNPsGLFCl588UUGDx5MXV0djzzyCPfffz/PPffchX0YK/0WqyD9B1NeXk55eXm7zwkJCbG46FkFaecpKyvrtKG3mBK1bt06Nm3aRH19PfPmzSMuLq7DlCidTodaraasrEyyPGpuxH++dFUUaG8jthu4uroSGRl5Tu0G4rFtHnIgCv+ejto0m82kpaWh0WiIjY3t8wNl7ZGXl0dubi7BwcHU1dVRWVmJo6OjdGxdXFz6xc2PKEbbipmtq6tjyZIlODg4sGXLln4rus8FUYwKgsCYMWNwdHTEYDBgNpsZOnQob7/9Nt7e3vzvf//jrbfeQqlUEhISwvz583nooYcstmHln4VVkFo5J6yCtPsxmUz88ccfkp1UWVkZs2fPJi4ujnnz5rV7sT7b8sjBwQFfX1/8/PzOSUCVlpaSkZHR5VGgPU1DQwNJSUl4e3tfcLvB2SEHdnZ2koA6n6nyc8FkMpGamorBYCAmJqbP97i2x+nTp8nPz7dwBTAajRbHVqlUSsv6fdUGrTNi9LLLLsPW1patW7f2ep9vT9C833Pr1q2sW7eOzz77DKVSyVdffcWXX36Jp6cn7733HkFBQahUKmxsbBAEQeoftorRfy5WQWqlUxQUFFBZWcnmzZtZsWKF5E8XHh7er/0b+zpms5mUlBRJnIppJfHx8SxYsABPT882hdDZF3lbW9tOCSjRYL27o0C7m9raWpKSkhgwYADh4eFdKhhNJhMVFRVS1KZcLu82H1mj0UhKSgqCIBAdHd3v3A2ak5ubS0FBQbsJZWaz2SLG1Gw2S1Zd3t7efcINobq6mqSkpDbFaH19PZdffjlyuVzqFf8n8eijj/Ljjz8yadIkPvnkE+nx1atX89lnn+Hp6ckbb7zB4MGDgb+ErHWA6Z+NVZBa6RQ33XQTK1eubPH47t27mTFjRs/v0D8QMR1JjDAVU6Li4+NZtGhRhylRlZWVkhG/QqGQBJS7u7u0xCYKhu42WO9uqqurSU5OJiQkpNvsa0TEqXJRQIk+sl0hoMRBLIVCwZgxY/qEGDsfmvulnktcrmiDJlb9tVotXl5e0vHtjbYF8bsVHh4u+WY2p6GhgcsvvxyZTMbWrVv7bTTw+WI2m3n66adZu3YtLi4uHDp0yOL39M033/DRRx9Jx6cnvXOt9G2sgtSKlX6IIAicPn2ahIQENmzYwB9//MH48eNZtGhRqylRzWkuoFQqFYIg4OPjg06no66urtc9LS8Usfe1repVdyJOlatUKsrKytDpdJLl0bladen1epKSkrCzs+twEKsv01V+qYIgWAxF1dXV4e7uLg2c9cSwUGfE6BVXXIHZbGb79u3/CDHaPJtexGg08u677/L5558zbdo0li9fbuGi8Pnnn2NnZ8d1113X07trpQ9jFaRWrPRzBEGgqKhISonat28fo0aNkiJMhw4d2m6We1VVFVlZWTQ2NloYmveV5dFzQcxB7wu9r6KAEoV/fX19p3PgdTodiYmJODs7M3LkyH7bUycIAidPnqS0tJTY2Ngu7aPUarWSOBWH+cTvbncMnHUkRjUaDUuXLsVgMLB9+/Z/ROWvubXTjh07kMlkuLi4MHnyZMxmM2+++Sbr169n9OjRLF++vFWfWesyvRURqyC10m/44IMPWLFiBSUlJURGRvL2228zbdq03t6tPkXzlKj169ezc+dOwsPDJSP+s8VNdXU1u3fvJiAggOjoaHQ6nVTd02q1/cosXkz76as56Gdbdbm6ukptE82nr7VaLYmJibi5uTFixIh+LUazs7MpKytj7Nix3Tph3trAmShO3d3dL1jw1NTUkJSU1K4YvfLKK9Fqtfz444+4ubld0Pv1B5oPH02fPp2SkhIaGxupqKjg3//+N6+88goODg68/vrrbN68mYiICJYvX94n/zat9A2sgtRKv+D777/n+uuv54MPPmDKlCl8/PHHfPbZZ2RmZvZrS6LuROy/27p1KwkJCfz000/4+/tL4nTAgAEsWrSI4OBg1q9fbzEs01p1TzQ09/X17XOWQ/n5+eTm5hIVFdUv0n7aspNycXHh+PHjeHt7M3z48H5bOWqeJBUbG9ujdkdiv7TY0wtYxJiea9VfFKNhYWGtnmsaGxu56qqrpNCLf4IYbc4111xDQUEB69atQ6PRkJaWxnXXXcfSpUv58ssvMZvNrFixgq+++opXX32VuLi43t5lK30UqyC10i+YMGECMTExfPjhh9Jjw4cPZ/HixSxfvrwX96z/0NDQwI8//siGDRvYsmULCoWCwYMH8+yzzzJjxox2p7fPNot3d3eXxGlvmrM3H5aJjo7ul2JArO6VlJRQUVGBQqFgwIABXVbd62kEQSArK4vKyspeT5ISoypFcXquEbEdiVGtVsvVV19NTU0NP/30U78eBDwfNBoNc+bM4dZbb+Xmm2+WHt+7dy8zZszgo48+4vbbb0cQBA4ePMiUKVN6cW+t9HWsgtRKn0ev1+Po6MjatWtZsmSJ9Pj9999PSkoKe/bs6cW9639kZWUxe/ZsRo0ahb+/P1u3bkUmk0kpUdOnT283JUrs3SsrK6O6urrNpefuRlwSFvsT+/MgVl1dHYmJiQQGBuLu7o5arUatViOTySyqe319+b55rOnYsWP7VJJU84hYtVrdYU9vZ8TotddeS0VFBT///HO/jj49H0SxP3ToUJ5++mnuv/9+zGYzZrMZpVLJtddei0wmY+XKlRY3u1afUStt0X8N7az8YygvL8dkMrVIPfLz86O0tLSX9qp/cvjwYebPn89dd93FCy+8gEwmw2g0snfvXtatW8fdd99NQ0MD8+bNIz4+nlmzZrUQmfb29gQHBxMcHIxer5eWnk+dOiUtPfv5+eHk5NRt1T2z2UxWVhZVVVWMGzeuXyfgiMKnuUWVr68vZrNZqu5lZmZiMpmk6p6Xl1ef8yMVBIGMjAxqamr6nBgFpIEbFxcXwsLCaGxslG6sTpw4gYuLiyROjUYjycnJDB48uFUxqtPpuO666ygvL//HiNGzp+llMhkeHh7ccMMNfPTRR4wfP55JkyZJYtPZ2RmtVtvie2oVo1bawlohtdLnKS4uZsCAARw8eJBJkyZJj7/00kusXr2a48eP9+Le9R8aGhoICwvjySef5L777mv1OSaTiUOHDklG/CqVitmzZxMfH8/cuXM7TIlqPlhib28vVU5dXV27TJyKEZoNDQ39Ms+9OVVVVaSkpLRZhRNpbifV3I9TXHru7Z5es9lMRkaGZBvWXoW9L6LX6y2+u4Ig4OHhQXh4eIsQCZ1Ox/XXX09JSQm//PJLr/Qs7927lxUrVpCYmEhJSQkbNmxg8eLF3fZ+zcXozp07qa2tZeLEiXh5eZGTk8P//d//odFoePbZZ4mNjSU3N5eFCxfywAMPSHGgVqx0hFWQWunzWJfsu47S0lL8/f079Vyz2UxycrIkTnNzc7n44ouJi4vrMCVKTDIqKyuziIK80L5Ik8lESkoKRqOR6OjoXhdiF0JFRQWpqann5ZdaX18vVffEpWdxab+nBbrZbCY9PZ36+vp+KUabU1tby9GjR/H19QVArVZTXFzMjz/+SHx8PHPmzOH222/nzJkz/Prrr3h5efXKfv74448cOHCAmJgYLr/88m4XpCKXXHIJOTk5lJaWMnjwYKZOncobb7zB8ePHefXVV9m0aRODBg1Cq9Uyb948Pv30U8Bq7WSlc1gFqZV+wYQJE4iNjeWDDz6QHhsxYgTx8fHWoaYeQBxUWbduHRs3biQtLY1p06YRHx/PwoUL202Jah4FqVKppL5IPz+/c4rZFFOL5HI5Y8aM6XNL1ueCWq0mLS2N4cOHX7Bfqrj0rFKpqK6ulpaefX19uz0/XaxWazQaYmNj+/UNQm1tLYmJiYSGhhISEgI0fb5jx47x7rvvsmvXLurq6rCzs2PFihVcddVVfcJrVCaTdZsgbV4ZXbFiBRs3buSrr77C3d2dVatWsXnzZgICAvjss8+wtbUlOTmZ4uJi3NzcuPjii1tsw4qV9rAKUiv9AtH26aOPPpLykT/99FMyMjIYNGhQb+/ePwpxsl1MiTp8+DATJkyQUqIGDhzYrjgV+yJVKpUUsyn2RbZ14dLpdCQlJWFvb9+vU4vgL/P+kSNHtuiLvlCa9/RWVFTg6OgoidP22i3OB1GsabVaYmJi+r0YFft4RTHaHL1ez4033khBQQEXX3wxP//8M9nZ2Vx88cUsXryY+Pj4Tq88dDXdKUhFli9fTmFhIVFRUdxxxx1Ak9BcvXo177zzDg8++CA33HBDi9dZB5isnAtWQWql3/DBBx/w2muvUVJSwsiRI3nrrbe46KKLenu3/tGIKVEbNmwgISGB/fv3M2rUKOLj44mPj2fIkCHtpkQ1j9nU6/UWljxiBbSxsZGkpCRcXV2JjIzs1xe4kpISsrKyesS832g0WvRF2tjYdEnbBDSJkWPHjqHX64mJienzoQntIToctCVGDQYDN998MydPnmTnzp3Scv7JkyfZtGkTGzZsYOrUqbz66qs9vOdNdLcg1Wg0+Pv7U19fzwMPPMCbb75p8fNZs2bh4ODAli1buuX9rfxzsApSK1asdAmCIFBeXs7GjRvZsGGDlBIlRpi2F4HZ3JJHpVKh0Wjw9PTE3d2dwsJCfHx8GDZsWL/uQztz5gzZ2dlERUX1eO9he2bxXl5e5yTyTSYTqampUh/v30GMDho0SHI4aI7BYODWW28lKyuLXbt2tVnR7s0eya4WpK1VNevq6pg6dSo1NTV8++23jB8/XlqleOaZZ0hPT+e7777r1/3DVnofqyC1YsVKlyOmRG3ZsoUNGzZIKVGiOB07dmy7IqihoYHCwkLOnDmDIAgWKVH98aJXUFBATk4OY8aM6XWLILFtQlzaNxgMrVamW0McKjObzURHR/frPt6OxKjRaOTf//436enp7Nq1q9eW5DuiKwVp837P7Oxs/Pz8cHBwwNbWltraWil167nnniM2Npa6ujpmz57NDTfcwCuvvHLB72/ln41VkFqxch70tO1Kf6e+vl5Kidq+fTsuLi4sWrSIuLg4Jk+e3ELYpKeno1arCQkJwd/fX5oor6mpwc3NTRKnvZkC1FlOnz5Nfn5+n0ySEgSBuro6qTLd2NgoiX8fHx+LvlCTyURycjKCIPwjxOjtt9/OsWPH+rQYhe5Zsr/qqqtIS0ujurqaRx55hAULFhAREUFdXR3jx4/nxIkTREZGMnjwYPz9/fn4448B6zS9lQvDKkitWDkPest25e+AVqvl119/JSEhgc2bNyOXy1mwYAGLFy9m+vTpbNu2jdtuu401a9YwZ84ci9eenQHv7OyMn59fj0yUnyuCIJCTk0NRURExMTG4uLj09i51SENDgyRO6+rqpIhYT09PsrKykMlkREdH9+uhMlGMDhw4kMGDB7f4udFo5I477iA5OZndu3dfsAtCd1BfX8+pU6cAiI6O5s0332TmzJl4enq262fbGV5//XW++eYb3nzzTTZu3MiuXbuYNm0ay5YtY+TIkWg0GmbMmEFJSQmrV69mxowZQFN7Q39u37DS+1gFqRUrF0hPTLn+XTEYDFJK1KZNm9BoNGi1Wu644w6eeeaZdhOYDAaDxUS5g4NDt02UnytirGlZWRmxsbF9Tix3Bq1WKw2cVVdXo1AoGDRoEH5+fv02prUzYvSuu+7iyJEj7N69mwEDBvTCXnbMb7/9xsyZM1s8fuONN/LVV1+d07bOtmV6//33cXNz4/rrrwfgo48+4pNPPmHChAksW7aMUaNG0djYyOjRo3FycuKLL75g9OjR/bpibqVvYBWkVqxcIFZB2jV88cUX3HPPPcydO5fk5GTUajVz5swhLi6OuXPntuv5aDQaLYz4bW1tJXF6dtJOdyN6tlZUVEg9d/0Vg8FAUlISCoUCf39/ysvLqaio6LYUru6kvr6eo0ePtilGTSYTy5Yt448//mDXrl3nHFbQH2m+xP7yyy9LMao33ngj11xzjfS8jz/+mM8++4zY2Fhuu+02YmNj0Wq1jB8/HrVaza5duxg+fHhvfQwrfxOstzRWrFjpdd555x3+85//sH37dmbMmIHZbCYpKYmEhAReffVV7rzzTi655BIWLVrEwoUL8fDwsBBBSqUSPz8//Pz8LCbKU1JSkMlk+Pr64ufnh7u7e7faRpnNZjIzM6mpqWHcuHH9OtbUYDCQmJiInZ0dUVFRyOVygoKCJPGvUqkksdrcTqov2nKJYjQ4OLhNMXrvvfdy6NChf4wYbT5Nf+2117J3716GDBnC0aNHUavVREZGMnr0aADuuOMO5HI5L7zwApMnT5Yie48cOcKNN95IWFhYb34UK38TrBVSK1YuEGuF9MJYvXo1Dz74ID/++CPjxo1r8XNBEMjMzGT9+vVs2LCBjIwMpk2bRlxcHIsWLcLPz69dI/6qqiqpL1IQhPO2O+qI5qlFMTEx/dINQESv11sEEbR1nJqncKnVaovj6+np2Sd6Tevr60lMTCQoKKhV4SSK0X379rF79+4L7sHsbxw9epTPP/+cJ554goEDB/L999/z8ccf4+7uzvPPP8+oUaOk5+7du1fyfrb2jFrpaqyC1IqVC8QqSC+M+vp6ioqKiIiI6PC5YkqUKE6PHDnChAkTJDup4ODgdo34a2pqKCsrk+yORPHk7e19QeJJNIrX6XT9PrVIr9eTmJiIo6Mjo0aN6rRoFwTBIoVLtJPy8fHB29u7V8RLZ8To/fffz2+//cauXbtaNcb/O/Pxxx/zn//8h5CQEHbv3i21l3z77bd8+umnuLu789xzz0mVUhFrApOV7sAqSK1YuUCsgrR3EASBM2fOsGHDBjZs2MD+/fsZPXo08fHxxMXFdZgSdbbdkZeXF35+fucsnkRvTpPJ1O+N4nU6HYmJiTg7O7cbZNARYtBBWVkZarWahoYGCy/ZnhDsohgdMGAAYWFhLb4LZrOZBx54gJ07d7Jr165W7Z/+7iQkJPD555+zb98+Dh06xIgRI6Sf/fDDD3zyySdotVrWrFnzj6scW+l5rILUipXzoDttV6ycO4IgoFKppCjHXbt2MWTIEKly2lHkaPOUqPr6+k6LJ6PRSHJyMjKZjDFjxvTrSWNRjLq4uHR5RGtDQ4PkiFBbW9vtXrINDQ0cPXq0XTH68MMP89NPP7Fr165W+0r/brRV1dy1axfPP/88DQ0N0sS8yMqVKykqKuLJJ5/syV218g/FKkitWDkPutJ2xUrXIi4diylRP//8MwEBASxatIjFixcTGxvbrtjSaDSSOK2trZW8OH19fS2GlMQJdBsbG6KiovpEv+T5otVqSUxMxN3dnREjRnTr1LxWq5XEaVVVFc7OztLxdXJyuuD37owY/b//+z+2bdvG7t27/xEDOc2tnbZu3UpjYyOCIHDllVcCsGfPHl577TXUajWffPIJY8aMabEN6zK9le7GKkitWLHyt0ZMiUpISGD79u24urqyaNEi4uPjmTRpUrtVzbPFk4uLizSwk5mZec59ln2RxsZGEhMT8fT0ZPjw4T1q4XS2l+yF2kmJYjQwMJDw8PBWxehjjz3G5s2b2b17N+Hh4V35cfo8N998Mzt37sTBwYEzZ84wbtw4XnnlFSZOnMju3bt5++23KSkp4b333mPChAm9vbtW/mFYBakVK1b+MWi1Wn755RcpJUqpVEopURdddFG7y/N6vR61Wk1paSmVlZUolUqCg4Mlo/j+4MV5No2NjRw9ehRvb2+GDRvWq5/BZDJRXl6OWq1GrVajUCikoTMPD48ORX9nxOgTTzzBhg0b2L17N0OGDOnOj9PneOONN3j77bfZvXs37u7uNDY2EhcXh729PatWrWLIkCH8/PPPvPDCC0yZMoVXX321t3fZyj8MqyC1YuVvwvLly0lISOD48eM4ODgwefJkXn311U5Nr/8TMRgM7Nmzh3Xr1rF582YaGxuZP38+cXFxzJo1q9Xexrq6OlJTU3Fzc8Pb2xuVSkV5eTl2dnZShGl/MYrXaDQkJibi4+NDREREn9rns+26zGazhV3X2e0RDQ0NJCYmEhAQ0KYYffLJJ1m/fj27d+9m6NChPflxehVxqf2uu+6ioaGBVatWYTQaUSqVVFdXExMTw8SJE1mzZg0AaWlpFlZPVqz0FFZBasXK34S5c+dy9dVXM27cOIxGI0899RRpaWlkZmb2y+jKnsRkMnHw4EESEhLYuHEj5eXlFilRLi4uHDt2jCuuuIL33nuPOXPmSKLHZDJJRvFiZU9cdj7bwL+vIAo4Pz8/hg4d2if3UUS06xLFqU6nw9vbW7LrEm2q/P39W3VWMJvNPP300/zwww/s2rWLYcOG9crn+OCDD1ixYgUlJSVERkby9ttvM23atG55r5SUFPLy8ggJCZH6QS+77DL0ej1bt24FmlYL7O3t+eabb3jqqac4ePAggYGB0jasPaNWehqrILVi5U+ax+j9HVCr1fj6+rJnzx7JzNpKx5jNZhITE0lISGDDhg3k5+czZcoUEhMTWbhwIR988EGbA0zNjeJVKhWAJE49PT37xAW+o6XtvoxoJyUe34aGBgA8PDyIjIxskYxlNpt59tlnWbNmTa/GW37//fdcf/31fPDBB0yZMkWK4szMzOxyV47PP/+cDz74AD8/P6ZOnSpNyG/fvp0rr7ySN998k9tvv116/urVq6Wl/Pbiea1Y6W6sgtSKlWaoVCp8fX17eze6hFOnTjFkyBDS0tIYOXJkb+9Ov0QQBNauXctNN93EwIEDycnJ4aKLLiI+Pp6FCxe2mxIlCILFsrPJZGp32bkn6Mibsz+h0Wg4cuQITk5OmM1mamtr0ev1HD58mCuvvJJhw4bx/PPPs3r1anbt2mXhsdnTTJgwgZiYGD788EPpseHDh7N48WKWL1/eZe/z6aef8uCDD7Jq1SpmzpyJh4eH9LPKykpee+01fvjhB+677z7+9a9/UV1dzc0330xwcDDffvttl+2HFSvng1WQWrECJCYm8u6775KXl0dRURFhYWHceeedxMfH94mq1rkiCALx8fFUVVWxb9++3t6dfsvvv//OvHnzePrpp3n44YfJyclh/fr1bNy4kSNHjjBx4kTi4uKIi4vrMCWqtrYWlUpFWVmZxbKzj49Pj/iX1tXVkZiYKOW593cxevToUYuWA51Ox4EDB/jvf/9LUlISgYGBVFRUsGrVKpYsWdJrn1ev1+Po6MjatWtZsmSJ9Pj9999PSkoKe/bs6ZL3SUlJ4eqrr+app57i+uuvlx5vvvKTm5vLmjVrePXVV3FycsLJyYmQkBB27twJWJfprfQuVkFq5R/PBx98wHPPPYefnx/XXnsto0eP5rfffmPfvn1ERUXx2muv4ebm1tu7eU7cfffdbNu2jf379xMUFNTbu9Mv2bNnD4sWLeKVV15h2bJlFj8TU6LEZf0DBw4QFRUlGfG3txTe2rKzl5eXJE67I8VIFKMDBw7s9ybw4jCWr69vq/2vgiDw3HPPsXnzZgYOHMjBgwcJCAhgyZIlLFmyhIkTJ/ao6CouLmbAgAEcOHCAyZMnS4+//PLLrFy5khMnTnTJ+2zcuJHHHnuMHTt2EBIS0q4ALywsJCMjA2dnZ6ZOnQogDTpZsdJbWAWplX80VVVVDB48mIsuuojVq1db9FBlZ2dz/fXXc/vtt3PrrbdKj/f1KsK9997Lxo0b2bt37z8yDrGrSE9PJzk52aLa1BrNU6ISEhKkKW7RiH/EiBHtfl8aGhokcVpXV4eHh4ckTs/uiTwfamtrSUxMJDQ0tN9ntXdGjC5fvpyPP/6YnTt3Mnr0aBobG/n555/ZsGEDW7ZsYfHixXz++ec9ts+iID148CD/396dh0VV9v8Df09sIiIIyCYgiFKJCwgppA9oJQoGaFqmKeZjerklQmnYpj0lZubKo7il4kKUAZkmhk+JGYoyIIo7KsqmCAqyBAPMnN8f/jhfJxAphTPi+3VdXFeemTPzOYbMm/s+9+f29PQUjy9evBg7duzAhQsXHsv7fPjhh9ixYwdyc3MBNH5PfHp6OqqqqjBw4EC14/c3zieSCn8doqfarl27oFAoEBoa2uCGficnJ0RHR4vH64NofbjQtB/igiDg3XffRXx8PJKSkhhGH1GvXr2ade+tTCaDhYUFpk2bhqlTp4q7RMXFxWHVqlXo0qWLGE779evXIJwaGBjAwcEBDg4OqK6uFqf1L168iI4dO8Lc3BwWFhb/aIvNu3fvIj09Hd26dUPXrl3/9vmapL6Bf+fOnR8YRpcuXYr169eLYRQA9PX1ERgYiMDAQNTW1qK0tLRV6zYzM4OWlhZu3rypdvzWrVuwsLB4bO/z7LPPorS0FL///ju8vLwaHSHdvn07ZDJZg0CqST/H6OmlucM8RK0gMTER/fr1e+CCB0dHR3Tu3BnAvdHULVu2YP/+/QA074f4rFmzsHPnTkRHR8PQ0BA3b97EzZs3UVVVJXVpTw2ZTIZOnTohKCgIP/74I27duoXFixejoKAA/v7+6NmzJ+bNm4cjR46grq6uwfnt2rWDnZ0d3N3d4eXlBWtra9y5cwfJyclISUnB1atXUVFR0axaSktLkZ6eDkdHxzYRRuVy+QN7pgqCgGXLlmHt2rX43//+h759+zb6Ojo6OuK/59aiq6sLNzc3HDx4UO34wYMH1abwH5Wbmxvq6uqwefNmFBQUiMfrJ0Hv3LmD7OxsSRd3ETWFU/b0VHN0dIS3tzciIiKa7NUZGxuLBQsWQFdXF2VlZairq8PXX3+N8ePHN/p8Kab1H3TP2NatW/H222+3ai3UUFVVFQ4ePIj4+Hhxl6hXX30VgYGBD90lqra2FsXFxSgsLMTt27ehr68vtpMyNDRs8P++pKQEJ0+eRI8ePWBra9vSl9aimhNGV6xYgZUrV+LgwYNwc3OTqNIHq2/7tH79enh6emLjxo3YtGkTzp49+1h/Wdi8eTNmzpyJoKAgBAcHiw3u8/LyMGnSJAAQFzARaRoGUnpqKRQKjB49Grdv38axY8caPF5/D9apU6cQEBAAf39/vP/++7C3t0dISAhOnDiB3bt3w9raGqWlpcjKyoKLiwt0dHQavAbR/Wpra5GUlITY2Fjs2bMH1dXV8PPzQ2BgIF5++eUmp+frt9isb8Svo6MjTusbGRmhpKQEGRkZcHJyeuIXtD1sa1NBELBq1SosX74ciYmJcHd3l6jSh1u3bh2++uor3LhxA7169cLKlSsfe3/guro6rFu3DiEhIbC1tUXv3r1RU1OD0tJSaGlp4ejRowA073YjIoCBlJ5ymzdvxrRp07B37174+vo2GNVUqVRYvnw5IiMjkZmZKY6iXr9+HX379sW3334LX19f/PLLL5gzZw58fHzg6uqK8vJy/Pvf/4ahoaEYSlUqFQRB4AcBqVEqlUhOThZ3ibp9+zZ8fHwQGBiIYcOGwdDQsMlz6xvxFxUVQRAEKJVK2NnZoXv37hq9+O5h6u8ZNTU1fWAYXbNmDZYtW4YDBw6gf//+ElWqeY4fP46oqChcunQJ3bp1g4uLi9gpgqvpSVMxkNJTb/bs2cjIyMDcuXMxfPhwqFQqZGVlwdXVFWVlZZg5cyb+/PNP/Pjjj6ipqYGuri5KS0thbm6OxMREDB48GOvWrcPHH3+MZ599Fn5+fti5cyeMjIzw22+/oV27dqioqICxsbHUlyqJyMhIREZG4tq1awAAZ2dnfPrpp/D19ZW2MA1Uv0tUbGws4uPjkZOTg5dffhkBAQHw8/NrcivSoqIinD59GsbGxqioqIAgCGIjfhMTkyfqF6HmhNGIiAgsXboUBw4cwIABAySq9MnCkVHSZAyk9NTLz8/HypUrsW3bNnTs2BEvvPACTp8+jS1btsDT0xPu7u4YPnw4vvjiCygUCujp6SEqKgoLFy7Evn370LVrV0yfPh3p6elIT0+Hvr4+rl69ij59+iAkJARKpRI//PAD9PX1ERERIU7T3T+dX//PsC1O7+/duxdaWlro3r07ACAqKgrLli3DyZMn4ezsLHF1mksQBJw9exY//PADfvzxR5w7dw5eXl7i7SPm5ubi98v333+P/Px8jBs3DpaWlmr7vxcWFqK2thZmZmawsLCAqampRo+QVVdXQy6Xw8TEBM8//3yjYXTt2rUIDw9HQkKCWisl+j+8XYieNAykRPc5efIkLl68iAEDBohtk9555x2cPXsWP//8M0xMTFBdXQ1PT084Oztj69atOHXqFGbNmoWRI0diwYIFAO71MB06dCjs7Ozw3nvvwc3NDQsWLMCtW7eQkJAgjlJcv369waIGTe9z+jiYmJhg2bJlav1d6cEEQcDly5fFXaLkcjk8PT3h7+8PLS0tfPTRR1i+fDkmT57c6Lnl5eVir9Oqqiq1Rvz33/MsteaE0fXr1+Pzzz/H/v37H+sqdSKSlub+mkzUSlQqFVQqFbS1teHq6gpXV1e1x8PCwvDaa6/hjTfegLe3t9jO57vvvoOOjg7kcjlKS0vh7+8vnnP06FF06tQJc+bMwciRIwEAHh4e+PLLL1FcXAwLCwtkZmaib9++2L9/P3JyctC/f3+4uLi06TCqVCqxe/duVFZWcmTrb5DJZOjRowfCwsLwwQcfIDc3F/Hx8di4cSMuXryIF198EXfu3MHly5cb7FEvk8nQsWNHdOzYEd27d0dFRQWKioqQk5ODc+fOwcTERAynenp6kl1jc8Lohg0b8J///IdhlKgNaruffETN9Mwzz4hTmH+dMBAEAd27d8fevXvh5uaGpKQkBAQE4MCBA3BycsLt27dx6tQp2NraqjVRl8vlMDc3x7/+9S/x2PXr19GrVy+UlJQAuDeVDQBr1qxBYmIiPD09MXbsWJSVlTVaZ11dHVQq1WO99taSmZmJDh06QE9PD9OnT0d8fDz7If5DMpkMdnZ2sLKywrVr17Blyxa89dZb+OOPP+Du7g4PDw8sXrwYZ8+ebfT7pUOHDnBwcICHhwcGDhwIU1NT3LhxA0eOHEFqaipycnJavXdtc8Lo5s2b8dlnn2Hfvn0NGrsT0ZOPU/ZEf9P992alpKQgKCgIo0ePxpIlSwAAV65cwaxZs9CjRw9EREQAuBcmhw0bBicnJ3z99dcwMDCAo6MjLC0tsXz5cnh4eODEiRMIDAzEihUrMG7cOPH9qqqq/tEuPZqkpqYGOTk5KC0tRWxsLDZv3ozDhw8zlP5D0dHRmDZtGnbv3i0uDhMEASUlJeIuUQcPHkSXLl0QEBCAwMDARneJup9CoRCn9UtKSmBoaCj2Om2qR++jqg+jnTp1Qs+ePRsNo1u2bMFHH32EvXv3wtvbu8VqISLpcMqeqBnq2+loaWmpfWD269cP4eHhajvD/P7777hz545aj8GjR4/izp076N27NwwMDHD58mVkZ2dj2bJl8PDwAAD0798flpaWyMrKEs+Ljo7GTz/9hJSUFLi4uCAsLAweHh5qoVilUkEmk2n0AgZdXV1xUZO7uztSU1OxevVqbNiwQeLKnjwVFRX45JNPEBcXBx8fH/G4TCaDiYkJJk2ahEmTJqG8vBz79+9HfHw8Xn31VRgbG8Pf3x+BgYHw9PRssNpaT08Ptra2sLW1RU1NjdiI/8qVKzAwMBDDaYcOHR7b91p1dTXS0tKaDKPbtm3DRx99hJ9++olhlKgN45Q9UTPIZDJoa2s3+MDU1dXFmDFj0KNHD/FYTU0NOnTooNaK5rfffoOpqSlcXFwAADt37oS1tbW4kwpwr22PnZ0d8vPzAQC7d+/GxIkToa+vj+XLl8PExAQzZsxAdna2Wh3PPPOM+GelUgmlUvnYr/9xEwQBCoVC6jKeSB06dMD58+fVwmhjDA0NMXbsWMTExKCwsBARERGorKzEuHHj0KNHD7z77rv49ddfUVNT0+BcXV1dWFtbw9XVFYMHD4aDgwMqKyuRmpqK5ORkZGVl4e7duw1ucfk76sOosbHxA8NoVFQUwsLCsGfPHgwePPgfvxcRaT5O2RM9osbaq/y135+7uzscHR2xceNGGBkZoV+/figpKcHRo0dhZWUF4F5o/fTTTzFx4kSMGjUK48ePh5WVFXbs2AEAuHHjBoYOHQp/f3/x9oDQ0FCYm5tj/PjxsLCwkHRRyoN8+OGH8PX1ha2tLcrLyxETE4Mvv/wSBw4cwNChQ6Uu76lTW1uLQ4cOIS4uDnv27IFCoYCfnx8CAgKatUvU7du3xUb8Wlpa4shpUz1S/0qhUEAul8PIyAjOzs6NhtEdO3Zg3rx52LNnD1566aVHumYi0nycsid6RH/9MFWpVA2mQ1evXo3y8nIYGRkhLy8PGRkZsLe3R2pqKgICAqBSqbBlyxaoVCr4+fnh2LFjKC8vx/vvvw/gXoiwsrKCh4cH5HI5gHuLpE6ePImrV6+ioKAA3377Ldzc3PDVV1+hT58+DepUKpVqo6mtpbCwEBMnTsSNGzdgZGSEPn36MIxKSEdHBz4+PvDx8cHatWuRnJyM2NhYzJs3DyUlJeIuUT4+Pg12ibo/gKpUKpSUlKCwsBCZmZkQBEF8zMTE5IH3qzYnjO7atQvz5s1DfHw8wyjRU4IjpEStbMmSJdi+fTs+/PBDLF++HI6OjigvLxeDwfDhw7FhwwZ8+eWXuHDhAvT09FBbWwsdHR24uLjA29sbq1evRnx8PGbNmoVBgwYhODgYFhYWmDp1KhwcHMRw21goYMNsaoxKpYJcLhd3icrNzcUrr7wCf39/jBgxAsbGxg/8vhEEAaWlpeKiqLq6OnGXKFNTU/EXNIVCgbS0NHTs2PGBYTQ6OhohISGIjY3FsGHDWvy6iUgzMJAStQJBEMSR0379+uGFF17Af//7X8jlckRGRsLc3BxjxowRFzjFxcVhwoQJyM3NhampKQDg8uXLcHJyws8//wxfX1/Mnz8fhw4dwk8//SRO+4eGhuLYsWOIiYlB165dUVVVhdOnTyM2NhZGRkaYOHEi7OzsGtQmCEKb7n9Kf48gCDhz5oy4S9T58+fh5eWFwMBA+Pv7o3Pnzk2G07KyMjGcVldXw8zMDCYmJsjJyWlyZDQmJgbBwcH44YcfMHz48Na41GZZvHgxfv75Z2RkZIhbBxPR48VAStSKiouLYW5uju+++w6vv/76A5+Xl5eH8ePHw9XVFYsXL8avv/6KVatWoaysDGlpaSgoKMDUqVNhZWWFzZs3i+eFhYVBLpcjJiYGZmZmGD9+PM6cOYM+ffogNzcX58+fR3h4ON55551G31epVEImkzGckkgQBGRlZSEuLg7x8fFIS0uDp6cnAgICEBAQABsbmybDaWVlJQoKCpCbmwuVSgVTU1NxC9N27dqJz9u9ezdmz56N77//Hn5+fq15iQ+1cOFCGBsbIy8vD9988w0DKVEL4KcOUSsRBAEGBgb45ptvxMbedXV1ja6Kt7GxQUhICBISEtClSxfMmzcPFhYWiIyMBAAcP34cd+7cUdvt6Pr167hw4QJsbW1hZmaG77//HjExMTh48CB27tyJw4cPIzIyEp9//rnYWurixYtYvXq12KxfS0vrqQyjS5YsgUwmw9y5c6UuRePIZDI4OTkhLCwMKSkpuHLlCkaPHo19+/bB2dkZgwcPxooVK3D58uUGq+5lMhmqq6tRVFQEc3NzvPjiizAxMUF+fj5ee+01DBo0CEuWLMGmTZswe/ZsfPfddxoXRgHgs88+Q0hIiFpXDCJ6vJ6+Tx4iichkMujr62Py5MmwtrYGAGhrazdYAFVv1KhRuHTpEtLS0rBlyxbExMSgf//+AO71OtXR0VHrdXr69Gnk5eXh5ZdfBgDExMQAAFxcXDBq1CgkJiZi0KBBMDIyQlFREQDgxIkTCAkJQUxMDMaNG4cpU6bg/PnzAO4tpAKAPXv2IDg4GJcuXWqBvxXppaamYuPGjY0uBCN1MpkMXbt2xdy5c5GUlITc3FxMmTIFv//+O9zd3eHp6Ynw8HBxl6j8/Hx4e3vj+PHjcHZ2hoGBAezt7dG/f39ERETA19cXcXFxCA0NhY2NDc6dO4erV69KfZlEJAEGUiINpVQqxa1LBw0aJB6vrq6GtrY2bGxs1PqfZmRkiCFVqVTi0KFD2LBhAxISEmBhYYFp06bBzs4O169fFz/0k5OToa+vj1OnTmHMmDG4ceMGJk2ahLt370JHRweFhYVITU3F8ePHYWxsLNbVVlRUVOCtt97Cpk2b0KlTJ6nLeaLIZDJYWVlh+vTp+OWXX3Dz5k2EhoYiMzMTXl5e6NOnD1566SV07doVM2fObDDy7ujoiJ49e+LatWvYunUr3nvvPfz222947rnn4OLigs8//xwFBQUSXR0RtTqBiDSaSqVq9Hh1dbX433l5ecKQIUMEPz8/QRAE4e7du4KlpaUQExMjPkehUAhHjx4V1q1bJ+Tl5Qm5ubmCvb298Mknn4jPSU5OFmxtbYUdO3YISqVSmDlzpiCTyQQHBwdh7969LXSF0gkKChLmzp0rCIIgeHt7C8HBwdIW1EZcvXpVsLW1Fbp16yZ07NhRsLOzE2bNmiUkJiYKZWVlQmVlpRAdHS20b99eiIuLUzu3pKRE2LFjhzBq1Cjh9OnTLVbjwoULBQBNfqWmpqqds3XrVsHIyKjFaiJ6mrEPKZGGa2w1MgC1JviWlpaYP38+VCqV+NjYsWOxYsUKeHl5wcrKCrq6uvD09BTvO42NjUVxcTEmT54svo6ZmRl0dHTEnqXDhw9HUlISLC0tMWHCBHGVf+fOnRutNS8vDyqVqsFKfk0UExOD9PR0pKamSl1Km1JUVCRuT7pr1y7U1NQgMTER8fHxGDt2LHR1ddG7d2/88ccf2LVrF0aNGqV2vrGxMSZMmIAJEya0aJ2zZ8/Gm2++2eRz7O3tW7QGIvo/DKRET5jGVjRraWmptcnR09PDnDlzcPbsWQwaNAgjR46Eo6MjOnTogFdffRXt2rXD4cOH4eDgAAcHB/G8c+fOITs7GyNGjABwb/GUqakptm7dCjs7O+Tl5alNbQv/v6dpeXk5oqKisH37dmRnZ6N9+/b49NNPMWXKlBb8m/jncnNzERwcjMTERHGlNz2627dv45VXXsFzzz2HXbt2QVtbG9ra2hg5ciRGjhyJmpoaJCUlYcGCBZg7dy5ee+01yWo1MzODmZmZZO9PROp4DylRG1E/OgrcC4rdunXDL7/8gvDwcGRnZyM2Nha1tbUwMDBAYWEhjhw5gtGjR4vnVFdX48CBA3j++edhZmaGW7du4fz587CxsRFHPG1sbKCtrd3gPZcuXYq1a9di4MCBSEtLw/Tp0xEZGYnTp0+30tX/PWlpabh16xbc3NzE0HT48GGsWbMG2trabeo+2dbUvn17vPnmm2IY/StdXV34+PggLS1N3P72SZCTk4OMjAzk5ORAqVQiIyMDGRkZqKiokLo0ojaDfUiJ2iihkR2ZFAoF9PT0kJCQgBEjRuDUqVNiK5vc3FwMHjwYkydPxscff4yEhAR88cUXeOONNxAcHPzAnZ8UCgVMTEywaNEizJs3TzzepUsXBAcHY/78+S17of9AeXk5rl+/rnZs8uTJeO655/DBBx+gV69eElVGmujtt99GVFRUg+OHDh3C4MGDW78gojaIU/ZEbVR9GK0f7dPS0hLvO/X19UV6erpaX0W5XI7s7Gy8/fbbAIAzZ84AwEM/cKOioqCvr4833nhD7XivXr2Ql5cHpVL5wNZWUjE0NGwQOg0MDGBqasowSg1s27YN27Ztk7oMojaNU/ZEbZyWllajgdDFxUWtkbmWlha8vLxgY2ODuro6aGlpoaioCH379gWABqOj9dP1u3fvxtChQ2Frays+lp2djXbt2omvQ0RE1BQGUqKn2P1T+gEBAUhKSgJwr2H/gAEDUFVVhWHDhmHfvn0NduGpD6hyuRxDhgxRe60rV67g0qVLGDBgQMtfxGOSlJSEVatWSV0GEdFTiYGUiADc28b0fgMHDhRX4h85cgR//vlng3OuXbsGGxsb6OnpiYFUpVIhJSUFKpVKXK1PRETUFAZSIgKARldFd+vWDevXr8fSpUthYGDQ4HELCwuYmpriwIED4rFTp05h7969eOWVV9hW5x9YtGgRZDKZ2pelpaXUZRERtSgGUiJ6IEEQmmyBpK+vjxkzZiAzMxOLFi3CunXr4OfnB2tra8yePbsVK21bnJ2dcePGDfErMzNT6pKIiFoUV9kT0QPJZLKHLkoaPXo0FAoFIiMjUVtbixkzZmD69OkwNzdvpSrbHm1tbY6KEtFThYGUiB6JtrY2goKCEBQUhLq6ukan/unvycrKgrW1NfT09DBgwACEh4ejW7duUpdFRNRi2BifiB7Z/b1O6dEkJCTgzz//hJOTEwoLC/HFF1/gwoULOHv2LExNTaUuj4ioRTCQEhFpsMrKSjg6OmL+/PkIDQ2VuhwiohbBRU1ERBrMwMAAvXv3RlZWltSlEBG1GAZSIiINplAocP78eVhZWUldChFRi2EgJSLSIO+//z4OHz6M7OxsHD9+HGPGjEFZWRkmTZokdWka79q1a5gyZQocHBygr68PR0dHLFy4EDU1NVKXRkQPweWwREQaJC8vD+PGjUNxcTE6d+4MDw8PpKSkoGvXrlKXpvEuXLgAlUqFDRs2oHv37jhz5gymTp2KyspKfP3111KXR0RN4KImIiJqs5YtW4bIyEhcvXpV6lKIqAmcsiciojbr7t27MDExkboMInoIBlIiImqTrly5goiICEyfPl3qUojoIRhIiYio2fLz8zFhwgSYmpqiffv2cHFxQVpaWou+56JFiyCTyZr8ksvlaucUFBRg+PDheP311/HOO++0aH1E9Oh4DykRETVLSUkJXF1dMWTIEMyYMQPm5ua4cuUK7O3t4ejo2GLvW1xcjOLi4iafY29vj3bt2gG4F0aHDBmCAQMGYNu2bXjmGY69EGk6BlIiImqWsLAwJCcn48iRI1KX8kD5+fkYMmQI3NzcsHPnTm5nS/SEYCAlIqJm6dmzJ4YNG4a8vDwcPnwYXbp0wcyZMzF16lSpSwNwb2TU29sbdnZ22L59u1oYtbS0lLAyInoYBlIiImqW+inx0NBQvP766zhx4gTmzp2LDRs2ICgoSOLqgG3btmHy5MmNPsaPOiLNxkBKRETNoqurC3d3dxw9elQ8NmfOHKSmpuLYsWMSVkZETzre6U1ERM1iZWWFnj17qh17/vnnkZOTI1FFRNRWMJASEVGzDBw4EBcvXlQ7dunSJW5rSkSPjIGUiIiaJSQkBCkpKQgPD8fly5cRHR2NjRs3YtasWVKXRkRPON5DSkREzbZv3z4sWLAAWVlZcHBwQGhoqMassieiJxcDKRERERFJilP2RERERCQpBlIiIiIikhQDKRERERFJioGUiIiIiCTFQEpEREREkmIgJSIiIiJJMZASERERkaQYSImIiIhIUgykRERERCQpBlIiIiIikhQDKRERERFJioGUiIiIiCTFQEpEREREkmIgJSIiIiJJMZASERERkaQYSImIiIhIUgykRERERCQpBlIiIiIikhQDKRERERFJioGUiIiIiCTFQEpEREREkmIgJSIiIiJJMZASERERkaQYSImIiIhIUgykRERERCQpBlIiIiIikhQDKRERERFJioGUiIiIiCTFQEpEREREkmIgJSIiIiJJMZASERERkaQYSImIiIhIUgykRERERCQpBlIiIiIikhQDKRERERFJioGUiIiIiCTFQEpEREREkmIgJSIiIiJJMZASERERkaQYSImIiIhIUgykRERERCQpBlIiIiIikhQDKRERERFJioGUiIiIiCTFQEpEREREkmIgJSIiIiJJMZASERERkaT+H4EJVqGrK2x1AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Randomly sample a fraction of the data\n",
    "sample_fraction = 0.20\n",
    "data_pca_sampled = data_pca_with_cluster.sample(frac=sample_fraction)\n",
    "\n",
    "# Define limits for the plot\n",
    "x_limit = [-2, 6]\n",
    "y_limit = [-2, 6]\n",
    "z_limit = [0, 30]\n",
    "\n",
    "# Filter data based on limits\n",
    "data_pca_filtered = data_pca_sampled[\n",
    "    (data_pca_sampled['pca0'] >= x_limit[0]) & (data_pca_sampled['pca0'] <= x_limit[1]) &\n",
    "    (data_pca_sampled['pca1'] >= y_limit[0]) & (data_pca_sampled['pca1'] <= y_limit[1]) &\n",
    "    (data_pca_sampled['pca2'] >= z_limit[0]) & (data_pca_sampled['pca2'] <= z_limit[1])\n",
    "]\n",
    "\n",
    "# Create a 3D scatter plot\n",
    "fig = plt.figure(figsize = (8, 8))\n",
    "ax = plt.axes(projection =\"3d\")\n",
    "\n",
    "# Scatter plot with filtered data\n",
    "ax.scatter3D(data_pca_filtered[\"pca0\"], data_pca_filtered[\"pca1\"], data_pca_filtered[\"pca2\"], marker='.', s=5, c=data_pca_filtered[\"cluster\"])\n",
    "\n",
    "# Set title for the plot\n",
    "plt.title(\"Cluster distribution of the first 3 components of PCA (30% of random samples)\")\n",
    "\n",
    "# Set labels for axes\n",
    "ax.set_xlabel(\"Component 0\")\n",
    "ax.set_ylabel(\"Component 1\")\n",
    "ax.set_zlabel(\"Component 2\")\n",
    "\n",
    "# Set limits for the plot\n",
    "ax.set_xlim(x_limit)\n",
    "ax.set_ylim(y_limit)\n",
    "ax.set_zlim(z_limit)\n",
    "\n",
    "# Show the plot\n",
    "ax.set_box_aspect(aspect=None, zoom=.9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This plot shows how the samples are distributed among the generated clusters, we see one cluster dominating the majority of samples with other smaller clusters combining the remaining samples.\n",
    "\n",
    "Surely, this chart alone is not enough to understand or evaluate the cluster distribution since it encompasses the first 3 components, nevertheless, it partially shows how KMeans results were able to separate the dataset into similar groups."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6. ANOMALY DETECTION"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The ultimate goal of clustering our dataset is to spot unusual data points that are different from the other normal connections.\n",
    "\n",
    "Having all samples grouped into separate clusters indicates similarities between them. However, the farther the data point is from the cluster centroid the less similar it is to other cluster samples, and thus, the more likely this data point is to be an outlier.\n",
    "\n",
    "Accordingly, to detect outliers in a clustered data set, we may rely on a maximum threshold of how far the anomalous sample is from its cluster's centroid. To do so, we must first calculate the distance from each sample to its assigned cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "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>pca0</th>\n",
       "      <th>pca1</th>\n",
       "      <th>pca2</th>\n",
       "      <th>pca3</th>\n",
       "      <th>pca4</th>\n",
       "      <th>pca5</th>\n",
       "      <th>pca6</th>\n",
       "      <th>pca7</th>\n",
       "      <th>pca8</th>\n",
       "      <th>pca9</th>\n",
       "      <th>pca10</th>\n",
       "      <th>pca11</th>\n",
       "      <th>pca12</th>\n",
       "      <th>pca13</th>\n",
       "      <th>pca14</th>\n",
       "      <th>pca15</th>\n",
       "      <th>pca16</th>\n",
       "      <th>pca17</th>\n",
       "      <th>pca18</th>\n",
       "      <th>pca19</th>\n",
       "      <th>pca20</th>\n",
       "      <th>pca21</th>\n",
       "      <th>pca22</th>\n",
       "      <th>pca23</th>\n",
       "      <th>pca24</th>\n",
       "      <th>pca25</th>\n",
       "      <th>pca26</th>\n",
       "      <th>pca27</th>\n",
       "      <th>pca28</th>\n",
       "      <th>cluster</th>\n",
       "      <th>distance_to_centroid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.528898</td>\n",
       "      <td>-0.093066</td>\n",
       "      <td>0.042358</td>\n",
       "      <td>2.067636</td>\n",
       "      <td>-0.152345</td>\n",
       "      <td>-0.318170</td>\n",
       "      <td>0.176869</td>\n",
       "      <td>-0.225085</td>\n",
       "      <td>-0.375969</td>\n",
       "      <td>-0.719573</td>\n",
       "      <td>0.259891</td>\n",
       "      <td>-0.191770</td>\n",
       "      <td>-0.078167</td>\n",
       "      <td>-0.132849</td>\n",
       "      <td>0.324653</td>\n",
       "      <td>0.003730</td>\n",
       "      <td>0.061295</td>\n",
       "      <td>-0.053358</td>\n",
       "      <td>-0.007354</td>\n",
       "      <td>0.002934</td>\n",
       "      <td>0.004129</td>\n",
       "      <td>-0.016838</td>\n",
       "      <td>-0.162854</td>\n",
       "      <td>-0.068233</td>\n",
       "      <td>0.346312</td>\n",
       "      <td>-0.246484</td>\n",
       "      <td>-0.006294</td>\n",
       "      <td>-0.010069</td>\n",
       "      <td>0.015052</td>\n",
       "      <td>0</td>\n",
       "      <td>2.637588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.175447</td>\n",
       "      <td>-0.002151</td>\n",
       "      <td>-0.159658</td>\n",
       "      <td>1.715892</td>\n",
       "      <td>-0.142162</td>\n",
       "      <td>-0.374582</td>\n",
       "      <td>-0.887742</td>\n",
       "      <td>0.266090</td>\n",
       "      <td>-0.567962</td>\n",
       "      <td>-0.738787</td>\n",
       "      <td>0.323933</td>\n",
       "      <td>0.217796</td>\n",
       "      <td>-0.261315</td>\n",
       "      <td>-0.818023</td>\n",
       "      <td>0.677401</td>\n",
       "      <td>-0.157330</td>\n",
       "      <td>0.073380</td>\n",
       "      <td>-0.195280</td>\n",
       "      <td>0.020275</td>\n",
       "      <td>-0.015619</td>\n",
       "      <td>0.001850</td>\n",
       "      <td>-0.001102</td>\n",
       "      <td>-0.190968</td>\n",
       "      <td>-0.118430</td>\n",
       "      <td>0.576216</td>\n",
       "      <td>0.163927</td>\n",
       "      <td>0.004400</td>\n",
       "      <td>-0.088972</td>\n",
       "      <td>-0.073777</td>\n",
       "      <td>0</td>\n",
       "      <td>2.779459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.052269</td>\n",
       "      <td>-0.477112</td>\n",
       "      <td>-0.076145</td>\n",
       "      <td>1.481068</td>\n",
       "      <td>-0.136729</td>\n",
       "      <td>-0.228123</td>\n",
       "      <td>-0.443400</td>\n",
       "      <td>0.176111</td>\n",
       "      <td>-0.320505</td>\n",
       "      <td>-0.630498</td>\n",
       "      <td>0.236761</td>\n",
       "      <td>0.144755</td>\n",
       "      <td>-0.175759</td>\n",
       "      <td>-0.564614</td>\n",
       "      <td>0.553287</td>\n",
       "      <td>-0.128806</td>\n",
       "      <td>0.077427</td>\n",
       "      <td>-0.179792</td>\n",
       "      <td>0.006180</td>\n",
       "      <td>-0.007353</td>\n",
       "      <td>0.002860</td>\n",
       "      <td>-0.011323</td>\n",
       "      <td>-0.177256</td>\n",
       "      <td>-0.093578</td>\n",
       "      <td>0.453350</td>\n",
       "      <td>0.074993</td>\n",
       "      <td>-0.047342</td>\n",
       "      <td>-0.054935</td>\n",
       "      <td>-0.057927</td>\n",
       "      <td>0</td>\n",
       "      <td>2.046660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.013376</td>\n",
       "      <td>-0.642108</td>\n",
       "      <td>-0.043160</td>\n",
       "      <td>1.376096</td>\n",
       "      <td>-0.124783</td>\n",
       "      <td>-0.207029</td>\n",
       "      <td>-0.319302</td>\n",
       "      <td>0.138333</td>\n",
       "      <td>-0.248504</td>\n",
       "      <td>-0.576483</td>\n",
       "      <td>0.208512</td>\n",
       "      <td>0.108911</td>\n",
       "      <td>-0.144995</td>\n",
       "      <td>-0.467396</td>\n",
       "      <td>0.501199</td>\n",
       "      <td>-0.113855</td>\n",
       "      <td>0.076051</td>\n",
       "      <td>-0.167198</td>\n",
       "      <td>0.001545</td>\n",
       "      <td>-0.004154</td>\n",
       "      <td>0.002893</td>\n",
       "      <td>-0.014879</td>\n",
       "      <td>-0.169404</td>\n",
       "      <td>-0.083258</td>\n",
       "      <td>0.404223</td>\n",
       "      <td>0.039229</td>\n",
       "      <td>-0.058172</td>\n",
       "      <td>-0.040861</td>\n",
       "      <td>-0.058753</td>\n",
       "      <td>0</td>\n",
       "      <td>1.796900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.003681</td>\n",
       "      <td>-0.721880</td>\n",
       "      <td>-0.025861</td>\n",
       "      <td>1.315440</td>\n",
       "      <td>-0.115219</td>\n",
       "      <td>-0.207934</td>\n",
       "      <td>-0.271858</td>\n",
       "      <td>0.118377</td>\n",
       "      <td>-0.218866</td>\n",
       "      <td>-0.543725</td>\n",
       "      <td>0.195862</td>\n",
       "      <td>0.087307</td>\n",
       "      <td>-0.130266</td>\n",
       "      <td>-0.419312</td>\n",
       "      <td>0.469259</td>\n",
       "      <td>-0.104784</td>\n",
       "      <td>0.074981</td>\n",
       "      <td>-0.159721</td>\n",
       "      <td>-0.000699</td>\n",
       "      <td>-0.002486</td>\n",
       "      <td>0.002765</td>\n",
       "      <td>-0.016865</td>\n",
       "      <td>-0.164937</td>\n",
       "      <td>-0.077198</td>\n",
       "      <td>0.376339</td>\n",
       "      <td>0.019768</td>\n",
       "      <td>-0.065284</td>\n",
       "      <td>-0.033255</td>\n",
       "      <td>-0.061256</td>\n",
       "      <td>0</td>\n",
       "      <td>1.672461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.013462</td>\n",
       "      <td>-0.773234</td>\n",
       "      <td>-0.013784</td>\n",
       "      <td>1.269595</td>\n",
       "      <td>-0.106399</td>\n",
       "      <td>-0.216165</td>\n",
       "      <td>-0.250009</td>\n",
       "      <td>0.104447</td>\n",
       "      <td>-0.203418</td>\n",
       "      <td>-0.518157</td>\n",
       "      <td>0.188047</td>\n",
       "      <td>0.070807</td>\n",
       "      <td>-0.120145</td>\n",
       "      <td>-0.384551</td>\n",
       "      <td>0.447321</td>\n",
       "      <td>-0.097368</td>\n",
       "      <td>0.073127</td>\n",
       "      <td>-0.152102</td>\n",
       "      <td>-0.001918</td>\n",
       "      <td>-0.001329</td>\n",
       "      <td>0.002601</td>\n",
       "      <td>-0.017919</td>\n",
       "      <td>-0.160759</td>\n",
       "      <td>-0.072978</td>\n",
       "      <td>0.357109</td>\n",
       "      <td>0.006262</td>\n",
       "      <td>-0.065690</td>\n",
       "      <td>-0.027783</td>\n",
       "      <td>-0.064367</td>\n",
       "      <td>0</td>\n",
       "      <td>1.588188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.018391</td>\n",
       "      <td>-0.805650</td>\n",
       "      <td>-0.005194</td>\n",
       "      <td>1.233595</td>\n",
       "      <td>-0.098111</td>\n",
       "      <td>-0.229285</td>\n",
       "      <td>-0.245191</td>\n",
       "      <td>0.094472</td>\n",
       "      <td>-0.197379</td>\n",
       "      <td>-0.497304</td>\n",
       "      <td>0.183723</td>\n",
       "      <td>0.057449</td>\n",
       "      <td>-0.113635</td>\n",
       "      <td>-0.360930</td>\n",
       "      <td>0.429625</td>\n",
       "      <td>-0.091279</td>\n",
       "      <td>0.071407</td>\n",
       "      <td>-0.145755</td>\n",
       "      <td>-0.002649</td>\n",
       "      <td>-0.000512</td>\n",
       "      <td>0.002400</td>\n",
       "      <td>-0.018676</td>\n",
       "      <td>-0.157386</td>\n",
       "      <td>-0.069682</td>\n",
       "      <td>0.342498</td>\n",
       "      <td>-0.003671</td>\n",
       "      <td>-0.065642</td>\n",
       "      <td>-0.023750</td>\n",
       "      <td>-0.067846</td>\n",
       "      <td>0</td>\n",
       "      <td>1.529818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.023320</td>\n",
       "      <td>-0.838066</td>\n",
       "      <td>0.003397</td>\n",
       "      <td>1.197595</td>\n",
       "      <td>-0.089824</td>\n",
       "      <td>-0.242405</td>\n",
       "      <td>-0.240372</td>\n",
       "      <td>0.084496</td>\n",
       "      <td>-0.191339</td>\n",
       "      <td>-0.476450</td>\n",
       "      <td>0.179402</td>\n",
       "      <td>0.044087</td>\n",
       "      <td>-0.107134</td>\n",
       "      <td>-0.337334</td>\n",
       "      <td>0.411902</td>\n",
       "      <td>-0.085194</td>\n",
       "      <td>0.069694</td>\n",
       "      <td>-0.139423</td>\n",
       "      <td>-0.003371</td>\n",
       "      <td>0.000304</td>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.019427</td>\n",
       "      <td>-0.154023</td>\n",
       "      <td>-0.066379</td>\n",
       "      <td>0.327869</td>\n",
       "      <td>-0.013603</td>\n",
       "      <td>-0.065648</td>\n",
       "      <td>-0.019717</td>\n",
       "      <td>-0.071326</td>\n",
       "      <td>0</td>\n",
       "      <td>1.472419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.025822</td>\n",
       "      <td>-0.861012</td>\n",
       "      <td>0.010245</td>\n",
       "      <td>1.166521</td>\n",
       "      <td>-0.081799</td>\n",
       "      <td>-0.257970</td>\n",
       "      <td>-0.244073</td>\n",
       "      <td>0.076504</td>\n",
       "      <td>-0.190010</td>\n",
       "      <td>-0.457966</td>\n",
       "      <td>0.176797</td>\n",
       "      <td>0.032322</td>\n",
       "      <td>-0.102378</td>\n",
       "      <td>-0.319026</td>\n",
       "      <td>0.396596</td>\n",
       "      <td>-0.079746</td>\n",
       "      <td>0.067963</td>\n",
       "      <td>-0.133555</td>\n",
       "      <td>-0.003784</td>\n",
       "      <td>0.000950</td>\n",
       "      <td>0.001980</td>\n",
       "      <td>-0.019953</td>\n",
       "      <td>-0.150998</td>\n",
       "      <td>-0.063565</td>\n",
       "      <td>0.315675</td>\n",
       "      <td>-0.021681</td>\n",
       "      <td>-0.064963</td>\n",
       "      <td>-0.016403</td>\n",
       "      <td>-0.074994</td>\n",
       "      <td>0</td>\n",
       "      <td>1.428103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.025903</td>\n",
       "      <td>-0.874476</td>\n",
       "      <td>0.015357</td>\n",
       "      <td>1.140425</td>\n",
       "      <td>-0.073966</td>\n",
       "      <td>-0.275965</td>\n",
       "      <td>-0.256355</td>\n",
       "      <td>0.070622</td>\n",
       "      <td>-0.193480</td>\n",
       "      <td>-0.441969</td>\n",
       "      <td>0.175387</td>\n",
       "      <td>0.022688</td>\n",
       "      <td>-0.098322</td>\n",
       "      <td>-0.301869</td>\n",
       "      <td>0.388196</td>\n",
       "      <td>-0.074506</td>\n",
       "      <td>0.065035</td>\n",
       "      <td>-0.125666</td>\n",
       "      <td>-0.003886</td>\n",
       "      <td>0.001429</td>\n",
       "      <td>0.001774</td>\n",
       "      <td>-0.019970</td>\n",
       "      <td>-0.147083</td>\n",
       "      <td>-0.061890</td>\n",
       "      <td>0.308175</td>\n",
       "      <td>-0.027333</td>\n",
       "      <td>-0.055913</td>\n",
       "      <td>-0.013761</td>\n",
       "      <td>-0.078918</td>\n",
       "      <td>0</td>\n",
       "      <td>1.396858</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       pca0      pca1      pca2      pca3      pca4      pca5      pca6  \\\n",
       "0 -0.528898 -0.093066  0.042358  2.067636 -0.152345 -0.318170  0.176869   \n",
       "1 -0.175447 -0.002151 -0.159658  1.715892 -0.142162 -0.374582 -0.887742   \n",
       "2 -0.052269 -0.477112 -0.076145  1.481068 -0.136729 -0.228123 -0.443400   \n",
       "3 -0.013376 -0.642108 -0.043160  1.376096 -0.124783 -0.207029 -0.319302   \n",
       "4  0.003681 -0.721880 -0.025861  1.315440 -0.115219 -0.207934 -0.271858   \n",
       "5  0.013462 -0.773234 -0.013784  1.269595 -0.106399 -0.216165 -0.250009   \n",
       "6  0.018391 -0.805650 -0.005194  1.233595 -0.098111 -0.229285 -0.245191   \n",
       "7  0.023320 -0.838066  0.003397  1.197595 -0.089824 -0.242405 -0.240372   \n",
       "8  0.025822 -0.861012  0.010245  1.166521 -0.081799 -0.257970 -0.244073   \n",
       "9  0.025903 -0.874476  0.015357  1.140425 -0.073966 -0.275965 -0.256355   \n",
       "\n",
       "       pca7      pca8      pca9     pca10     pca11     pca12     pca13  \\\n",
       "0 -0.225085 -0.375969 -0.719573  0.259891 -0.191770 -0.078167 -0.132849   \n",
       "1  0.266090 -0.567962 -0.738787  0.323933  0.217796 -0.261315 -0.818023   \n",
       "2  0.176111 -0.320505 -0.630498  0.236761  0.144755 -0.175759 -0.564614   \n",
       "3  0.138333 -0.248504 -0.576483  0.208512  0.108911 -0.144995 -0.467396   \n",
       "4  0.118377 -0.218866 -0.543725  0.195862  0.087307 -0.130266 -0.419312   \n",
       "5  0.104447 -0.203418 -0.518157  0.188047  0.070807 -0.120145 -0.384551   \n",
       "6  0.094472 -0.197379 -0.497304  0.183723  0.057449 -0.113635 -0.360930   \n",
       "7  0.084496 -0.191339 -0.476450  0.179402  0.044087 -0.107134 -0.337334   \n",
       "8  0.076504 -0.190010 -0.457966  0.176797  0.032322 -0.102378 -0.319026   \n",
       "9  0.070622 -0.193480 -0.441969  0.175387  0.022688 -0.098322 -0.301869   \n",
       "\n",
       "      pca14     pca15     pca16     pca17     pca18     pca19     pca20  \\\n",
       "0  0.324653  0.003730  0.061295 -0.053358 -0.007354  0.002934  0.004129   \n",
       "1  0.677401 -0.157330  0.073380 -0.195280  0.020275 -0.015619  0.001850   \n",
       "2  0.553287 -0.128806  0.077427 -0.179792  0.006180 -0.007353  0.002860   \n",
       "3  0.501199 -0.113855  0.076051 -0.167198  0.001545 -0.004154  0.002893   \n",
       "4  0.469259 -0.104784  0.074981 -0.159721 -0.000699 -0.002486  0.002765   \n",
       "5  0.447321 -0.097368  0.073127 -0.152102 -0.001918 -0.001329  0.002601   \n",
       "6  0.429625 -0.091279  0.071407 -0.145755 -0.002649 -0.000512  0.002400   \n",
       "7  0.411902 -0.085194  0.069694 -0.139423 -0.003371  0.000304  0.002199   \n",
       "8  0.396596 -0.079746  0.067963 -0.133555 -0.003784  0.000950  0.001980   \n",
       "9  0.388196 -0.074506  0.065035 -0.125666 -0.003886  0.001429  0.001774   \n",
       "\n",
       "      pca21     pca22     pca23     pca24     pca25     pca26     pca27  \\\n",
       "0 -0.016838 -0.162854 -0.068233  0.346312 -0.246484 -0.006294 -0.010069   \n",
       "1 -0.001102 -0.190968 -0.118430  0.576216  0.163927  0.004400 -0.088972   \n",
       "2 -0.011323 -0.177256 -0.093578  0.453350  0.074993 -0.047342 -0.054935   \n",
       "3 -0.014879 -0.169404 -0.083258  0.404223  0.039229 -0.058172 -0.040861   \n",
       "4 -0.016865 -0.164937 -0.077198  0.376339  0.019768 -0.065284 -0.033255   \n",
       "5 -0.017919 -0.160759 -0.072978  0.357109  0.006262 -0.065690 -0.027783   \n",
       "6 -0.018676 -0.157386 -0.069682  0.342498 -0.003671 -0.065642 -0.023750   \n",
       "7 -0.019427 -0.154023 -0.066379  0.327869 -0.013603 -0.065648 -0.019717   \n",
       "8 -0.019953 -0.150998 -0.063565  0.315675 -0.021681 -0.064963 -0.016403   \n",
       "9 -0.019970 -0.147083 -0.061890  0.308175 -0.027333 -0.055913 -0.013761   \n",
       "\n",
       "      pca28  cluster  distance_to_centroid  \n",
       "0  0.015052        0              2.637588  \n",
       "1 -0.073777        0              2.779459  \n",
       "2 -0.057927        0              2.046660  \n",
       "3 -0.058753        0              1.796900  \n",
       "4 -0.061256        0              1.672461  \n",
       "5 -0.064367        0              1.588188  \n",
       "6 -0.067846        0              1.529818  \n",
       "7 -0.071326        0              1.472419  \n",
       "8 -0.074994        0              1.428103  \n",
       "9 -0.078918        0              1.396858  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate distance of each data point to its cluster centroid\n",
    "distances = kmeans.transform(data_pca_with_cluster.drop(\"cluster\", axis=1))\n",
    "\n",
    "# Extract the distance to the corresponding cluster for each data point\n",
    "data_pca_with_cluster['distance_to_centroid'] = distances[range(len(data_pca)), kmeans.labels_]\n",
    "\n",
    "# Check how the data frame looks like with cluster details\n",
    "data_pca_with_cluster.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the last two columns, we notice two additional details: the sample's cluster and its distance from the cluster centroid. Based on a defined threshold, the distance column can be used to determine whether each sample is an outlier.\n",
    "\n",
    "Determining the distance threshold is not easy and highly impacts the anomaly detection results. One approach is observing the top farthest data points and then trying to find a distance split."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the farthest 1000 samples from their centroids\n",
    "farthest_1000_samples = data_pca_with_cluster.nlargest(1000, 'distance_to_centroid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the samples with their distances\n",
    "\n",
    "# Create a figure\n",
    "plt.figure(figsize=((20,7)))\n",
    "\n",
    "# Plot data points\n",
    "plt.plot(range(len(farthest_1000_samples)), farthest_1000_samples[\"distance_to_centroid\"])\n",
    "\n",
    "# Set title and axes labels\n",
    "plt.title(\"Distance of farthest 1000 samples from their centroids\")\n",
    "plt.xlabel(\"Samples\")\n",
    "plt.ylabel(\"Distance from centroid\")\n",
    "plt.yticks(np.arange(0, max(farthest_1000_samples[\"distance_to_centroid\"]) + 1, 50))\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The previous chart shows a declining trend exhibiting the decreased distance of samples since they are plotted sorted in a descending order. \n",
    "\n",
    "To determine a threshold, we can pick a distance value on this chart where the majority of samples fall below it. For instance, distance=150, since this value splits the figure into two distinct groups, the one to the left with higher distance values, and the other samples to the right with a relatively small distance from their centroid.\n",
    "\n",
    "Having that said, we believe a distance threshold of 150 will be useful to divide the anomalous connections from the normal ones, and thus can be used to spot the intrusions in this version of the dataset."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}