paysim-fraud-detection-using-vae-and-bnn.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PaySim Dataset : \n",
    "# Fraud Detection Using VAE and BNN "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The project is devided into 4 parts : \n",
    "\n",
    "1. Data pre-processing.\n",
    "2. Data Augmentation using VAE.\n",
    "3. Classification using BNN.\n",
    "4. Results : \n",
    "    1. Exploring the parameters destributions and plotting examples.\n",
    "    2. Model evaluation.\n",
    "    \n",
    "P.S : ameliorations which will be made to this notebook in the near future :\n",
    "- demystificaiton of each model.\n",
    "- re-training the models with the full dataset (12 million data points fully balanced) insead of 16K datapoints.\n",
    "- and ofc cleaning and re-structuring for public usage.\n",
    "\n",
    "Author : **Mohamed HMINI** from INSEA / M2SI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Data pre-processing : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib as mpt\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.manifold import TSNE\n",
    "np.set_printoptions(precision=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:\\\\insea-student\\\\S3\\\\COMM\\\\project'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "root = \"D:\\insea-student\\S3\\COMM\\project\"\n",
    "os.chdir(root)\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "paysim = pd.read_csv(\"paysim-data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>step</th>\n",
       "      <th>type</th>\n",
       "      <th>amount</th>\n",
       "      <th>nameOrig</th>\n",
       "      <th>oldbalanceOrg</th>\n",
       "      <th>newbalanceOrig</th>\n",
       "      <th>nameDest</th>\n",
       "      <th>oldbalanceDest</th>\n",
       "      <th>newbalanceDest</th>\n",
       "      <th>isFraud</th>\n",
       "      <th>isFlaggedFraud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>9839.64</td>\n",
       "      <td>C1231006815</td>\n",
       "      <td>170136.0</td>\n",
       "      <td>160296.36</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>1864.28</td>\n",
       "      <td>C1666544295</td>\n",
       "      <td>21249.0</td>\n",
       "      <td>19384.72</td>\n",
       "      <td>M2044282225</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>TRANSFER</td>\n",
       "      <td>181.00</td>\n",
       "      <td>C1305486145</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>C553264065</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>CASH_OUT</td>\n",
       "      <td>181.00</td>\n",
       "      <td>C840083671</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>C38997010</td>\n",
       "      <td>21182.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>11668.14</td>\n",
       "      <td>C2048537720</td>\n",
       "      <td>41554.0</td>\n",
       "      <td>29885.86</td>\n",
       "      <td>M1230701703</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   step      type    amount     nameOrig  oldbalanceOrg  newbalanceOrig  \\\n",
       "0     1   PAYMENT   9839.64  C1231006815       170136.0       160296.36   \n",
       "1     1   PAYMENT   1864.28  C1666544295        21249.0        19384.72   \n",
       "2     1  TRANSFER    181.00  C1305486145          181.0            0.00   \n",
       "3     1  CASH_OUT    181.00   C840083671          181.0            0.00   \n",
       "4     1   PAYMENT  11668.14  C2048537720        41554.0        29885.86   \n",
       "\n",
       "      nameDest  oldbalanceDest  newbalanceDest  isFraud  isFlaggedFraud  \n",
       "0  M1979787155             0.0             0.0        0               0  \n",
       "1  M2044282225             0.0             0.0        0               0  \n",
       "2   C553264065             0.0             0.0        1               0  \n",
       "3    C38997010         21182.0             0.0        1               0  \n",
       "4  M1230701703             0.0             0.0        0               0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paysim.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>step</th>\n",
       "      <th>amount</th>\n",
       "      <th>oldbalanceOrg</th>\n",
       "      <th>newbalanceOrig</th>\n",
       "      <th>oldbalanceDest</th>\n",
       "      <th>newbalanceDest</th>\n",
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       "      <th>isFlaggedFraud</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>6.362620e+06</td>\n",
       "      <td>6.362620e+06</td>\n",
       "      <td>6.362620e+06</td>\n",
       "      <td>6.362620e+06</td>\n",
       "      <td>6.362620e+06</td>\n",
       "      <td>6.362620e+06</td>\n",
       "      <td>6.362620e+06</td>\n",
       "      <td>6.362620e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>2.433972e+02</td>\n",
       "      <td>1.798619e+05</td>\n",
       "      <td>8.338831e+05</td>\n",
       "      <td>8.551137e+05</td>\n",
       "      <td>1.100702e+06</td>\n",
       "      <td>1.224996e+06</td>\n",
       "      <td>1.290820e-03</td>\n",
       "      <td>2.514687e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>1.423320e+02</td>\n",
       "      <td>6.038582e+05</td>\n",
       "      <td>2.888243e+06</td>\n",
       "      <td>2.924049e+06</td>\n",
       "      <td>3.399180e+06</td>\n",
       "      <td>3.674129e+06</td>\n",
       "      <td>3.590480e-02</td>\n",
       "      <td>1.585775e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>1.560000e+02</td>\n",
       "      <td>1.338957e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>2.390000e+02</td>\n",
       "      <td>7.487194e+04</td>\n",
       "      <td>1.420800e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.327057e+05</td>\n",
       "      <td>2.146614e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>3.350000e+02</td>\n",
       "      <td>2.087215e+05</td>\n",
       "      <td>1.073152e+05</td>\n",
       "      <td>1.442584e+05</td>\n",
       "      <td>9.430367e+05</td>\n",
       "      <td>1.111909e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>7.430000e+02</td>\n",
       "      <td>9.244552e+07</td>\n",
       "      <td>5.958504e+07</td>\n",
       "      <td>4.958504e+07</td>\n",
       "      <td>3.560159e+08</td>\n",
       "      <td>3.561793e+08</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "               step        amount  oldbalanceOrg  newbalanceOrig  \\\n",
       "count  6.362620e+06  6.362620e+06   6.362620e+06    6.362620e+06   \n",
       "mean   2.433972e+02  1.798619e+05   8.338831e+05    8.551137e+05   \n",
       "std    1.423320e+02  6.038582e+05   2.888243e+06    2.924049e+06   \n",
       "min    1.000000e+00  0.000000e+00   0.000000e+00    0.000000e+00   \n",
       "25%    1.560000e+02  1.338957e+04   0.000000e+00    0.000000e+00   \n",
       "50%    2.390000e+02  7.487194e+04   1.420800e+04    0.000000e+00   \n",
       "75%    3.350000e+02  2.087215e+05   1.073152e+05    1.442584e+05   \n",
       "max    7.430000e+02  9.244552e+07   5.958504e+07    4.958504e+07   \n",
       "\n",
       "       oldbalanceDest  newbalanceDest       isFraud  isFlaggedFraud  \n",
       "count    6.362620e+06    6.362620e+06  6.362620e+06    6.362620e+06  \n",
       "mean     1.100702e+06    1.224996e+06  1.290820e-03    2.514687e-06  \n",
       "std      3.399180e+06    3.674129e+06  3.590480e-02    1.585775e-03  \n",
       "min      0.000000e+00    0.000000e+00  0.000000e+00    0.000000e+00  \n",
       "25%      0.000000e+00    0.000000e+00  0.000000e+00    0.000000e+00  \n",
       "50%      1.327057e+05    2.146614e+05  0.000000e+00    0.000000e+00  \n",
       "75%      9.430367e+05    1.111909e+06  0.000000e+00    0.000000e+00  \n",
       "max      3.560159e+08    3.561793e+08  1.000000e+00    1.000000e+00  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paysim.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "paysim.drop(['nameDest', 'nameOrig'], axis = 1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>TRANSFER</td>\n",
       "      <td>181.00</td>\n",
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       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>CASH_OUT</td>\n",
       "      <td>181.00</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>21182.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>11668.14</td>\n",
       "      <td>41554.0</td>\n",
       "      <td>29885.86</td>\n",
       "      <td>0.0</td>\n",
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      "text/plain": [
       "   step      type    amount  oldbalanceOrg  newbalanceOrig  oldbalanceDest  \\\n",
       "0     1   PAYMENT   9839.64       170136.0       160296.36             0.0   \n",
       "1     1   PAYMENT   1864.28        21249.0        19384.72             0.0   \n",
       "2     1  TRANSFER    181.00          181.0            0.00             0.0   \n",
       "3     1  CASH_OUT    181.00          181.0            0.00         21182.0   \n",
       "4     1   PAYMENT  11668.14        41554.0        29885.86             0.0   \n",
       "\n",
       "   newbalanceDest  isFraud  isFlaggedFraud  \n",
       "0             0.0        0               0  \n",
       "1             0.0        0               0  \n",
       "2             0.0        1               0  \n",
       "3             0.0        1               0  \n",
       "4             0.0        0               0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paysim.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CASH_IN  CASH_OUT  DEBIT  PAYMENT  TRANSFER\n",
       "0        0         0      0        1         0\n",
       "1        0         0      0        1         0\n",
       "2        0         0      0        0         1\n",
       "3        0         1      0        0         0\n",
       "4        0         0      0        1         0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trans_type = pd.get_dummies(paysim.type)\n",
    "trans_type.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "paysim = trans_type.join(paysim)\n",
    "paysim.drop(['type'], axis = 1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = ['isFraud']\n",
    "cols.extend([col for col in paysim.columns if col != 'isFraud'])\n",
    "paysim = paysim[cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>isFraud</th>\n",
       "      <th>CASH_IN</th>\n",
       "      <th>CASH_OUT</th>\n",
       "      <th>DEBIT</th>\n",
       "      <th>PAYMENT</th>\n",
       "      <th>TRANSFER</th>\n",
       "      <th>step</th>\n",
       "      <th>amount</th>\n",
       "      <th>oldbalanceOrg</th>\n",
       "      <th>newbalanceOrig</th>\n",
       "      <th>oldbalanceDest</th>\n",
       "      <th>newbalanceDest</th>\n",
       "      <th>isFlaggedFraud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9839.64</td>\n",
       "      <td>170136.0</td>\n",
       "      <td>160296.36</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1864.28</td>\n",
       "      <td>21249.0</td>\n",
       "      <td>19384.72</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <td>2</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>181.00</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>181.00</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>21182.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11668.14</td>\n",
       "      <td>41554.0</td>\n",
       "      <td>29885.86</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   isFraud  CASH_IN  CASH_OUT  DEBIT  PAYMENT  TRANSFER  step    amount  \\\n",
       "0        0        0         0      0        1         0     1   9839.64   \n",
       "1        0        0         0      0        1         0     1   1864.28   \n",
       "2        1        0         0      0        0         1     1    181.00   \n",
       "3        1        0         1      0        0         0     1    181.00   \n",
       "4        0        0         0      0        1         0     1  11668.14   \n",
       "\n",
       "   oldbalanceOrg  newbalanceOrig  oldbalanceDest  newbalanceDest  \\\n",
       "0       170136.0       160296.36             0.0             0.0   \n",
       "1        21249.0        19384.72             0.0             0.0   \n",
       "2          181.0            0.00             0.0             0.0   \n",
       "3          181.0            0.00         21182.0             0.0   \n",
       "4        41554.0        29885.86             0.0             0.0   \n",
       "\n",
       "   isFlaggedFraud  \n",
       "0               0  \n",
       "1               0  \n",
       "2               0  \n",
       "3               0  \n",
       "4               0  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paysim.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = ['step', 'amount', 'oldbalanceOrg', 'newbalanceOrig', 'oldbalanceDest', 'newbalanceDest']\n",
    "paysim[cols] = paysim[cols].apply(lambda x: (x - x.mean())/x.std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>isFraud</th>\n",
       "      <th>CASH_IN</th>\n",
       "      <th>CASH_OUT</th>\n",
       "      <th>DEBIT</th>\n",
       "      <th>PAYMENT</th>\n",
       "      <th>TRANSFER</th>\n",
       "      <th>step</th>\n",
       "      <th>amount</th>\n",
       "      <th>oldbalanceOrg</th>\n",
       "      <th>newbalanceOrig</th>\n",
       "      <th>oldbalanceDest</th>\n",
       "      <th>newbalanceDest</th>\n",
       "      <th>isFlaggedFraud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
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       "      <td>-1.703041</td>\n",
       "      <td>-0.294767</td>\n",
       "      <td>-0.281359</td>\n",
       "      <td>-0.285812</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>-1.703041</td>\n",
       "      <td>-0.297555</td>\n",
       "      <td>-0.288654</td>\n",
       "      <td>-0.292442</td>\n",
       "      <td>-0.323814</td>\n",
       "      <td>-0.333411</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
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       "      <td>0</td>\n",
       "      <td>-1.703041</td>\n",
       "      <td>-0.278532</td>\n",
       "      <td>-0.274329</td>\n",
       "      <td>-0.282221</td>\n",
       "      <td>-0.323814</td>\n",
       "      <td>-0.333411</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   isFraud  CASH_IN  CASH_OUT  DEBIT  PAYMENT  TRANSFER      step    amount  \\\n",
       "0        0        0         0      0        1         0 -1.703041 -0.281560   \n",
       "1        0        0         0      0        1         0 -1.703041 -0.294767   \n",
       "2        1        0         0      0        0         1 -1.703041 -0.297555   \n",
       "3        1        0         1      0        0         0 -1.703041 -0.297555   \n",
       "4        0        0         0      0        1         0 -1.703041 -0.278532   \n",
       "\n",
       "   oldbalanceOrg  newbalanceOrig  oldbalanceDest  newbalanceDest  \\\n",
       "0      -0.229810       -0.237622       -0.323814       -0.333411   \n",
       "1      -0.281359       -0.285812       -0.323814       -0.333411   \n",
       "2      -0.288654       -0.292442       -0.323814       -0.333411   \n",
       "3      -0.288654       -0.292442       -0.317582       -0.333411   \n",
       "4      -0.274329       -0.282221       -0.323814       -0.333411   \n",
       "\n",
       "   isFlaggedFraud  \n",
       "0               0  \n",
       "1               0  \n",
       "2               0  \n",
       "3               0  \n",
       "4               0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paysim.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "isfraud = paysim[paysim['isFraud'] == 1][:8000]\n",
    "notfraud = paysim[paysim['isFraud'] == 0][:8000]\n",
    "dummy = isfraud.append(notfraud)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[t-SNE] Computing 91 nearest neighbors...\n",
      "[t-SNE] Indexed 16000 samples in 0.140s...\n",
      "[t-SNE] Computed neighbors for 16000 samples in 0.972s...\n",
      "[t-SNE] Computed conditional probabilities for sample 1000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 2000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 3000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 4000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 5000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 6000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 7000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 8000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 9000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 10000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 11000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 12000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 13000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 14000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 15000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 16000 / 16000\n",
      "[t-SNE] Mean sigma: 0.002910\n",
      "[t-SNE] KL divergence after 250 iterations with early exaggeration: 71.123268\n",
      "[t-SNE] KL divergence after 1000 iterations: 0.856871\n"
     ]
    }
   ],
   "source": [
    "notfraud = paysim[paysim['isFraud'] == 0][:8000]\n",
    "dummy = isfraud.append(notfraud)\n",
    "tsne_em = TSNE(n_components=2, perplexity=30.0, n_iter=1000, verbose=1).fit_transform(dummy[[col for col in dummy.columns if col not in ['isFraud', 'isFlaggedFraud']]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualize_TSNE(X, colors, clables = ['red', 'green'], dplabels = ['not Fraud', 'Fraud'], title = \"TSNE reduction of 8k fraud and 8k not fraud transaction datapoints\"):\n",
    "    cdict = {i:clables[i] for i in range(len(clables))}\n",
    "    labels = {i:dplabels[i] for i in range(len(dplabels))}\n",
    "    fig, ax = plt.subplots(figsize = (10, 7))\n",
    "    for grp in cdict.keys():\n",
    "        ix = np.where(colors == grp)\n",
    "        ax.scatter(X[:,0][ix], X[:, 1][ix], c = cdict[grp], label = labels[grp])\n",
    "        plt.title(label = title)\n",
    "        plt.xlabel(\"First Component\")\n",
    "        plt.ylabel(\"Second Component\")\n",
    "        plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = dummy['isFraud'].to_numpy()\n",
    "visualize_TSNE(tsne_em, colors)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Data Augmentation using VAE : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch.utils.data import DataLoader, Dataset, random_split\n",
    "import torch.nn as nn\n",
    "import pyro\n",
    "import pyro.distributions as dist\n",
    "from pyro.infer import SVI, Trace_ELBO\n",
    "from pyro.optim import Adam\n",
    "from pyro.infer import Predictive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "pyro.enable_validation(True)\n",
    "pyro.distributions.enable_validation(False)\n",
    "pyro.set_rng_seed(0)\n",
    "# Enable smoke test - run the notebook cells on CI.\n",
    "smoke_test = 'CI' in os.environ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>isFraud</th>\n",
       "      <th>CASH_IN</th>\n",
       "      <th>CASH_OUT</th>\n",
       "      <th>DEBIT</th>\n",
       "      <th>PAYMENT</th>\n",
       "      <th>TRANSFER</th>\n",
       "      <th>step</th>\n",
       "      <th>amount</th>\n",
       "      <th>oldbalanceOrg</th>\n",
       "      <th>newbalanceOrig</th>\n",
       "      <th>oldbalanceDest</th>\n",
       "      <th>newbalanceDest</th>\n",
       "      <th>isFlaggedFraud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1.703041</td>\n",
       "      <td>-0.297555</td>\n",
       "      <td>-0.288654</td>\n",
       "      <td>-0.292442</td>\n",
       "      <td>-0.323814</td>\n",
       "      <td>-0.333411</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.703041</td>\n",
       "      <td>-0.297555</td>\n",
       "      <td>-0.288654</td>\n",
       "      <td>-0.292442</td>\n",
       "      <td>-0.317582</td>\n",
       "      <td>-0.333411</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>251</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1.703041</td>\n",
       "      <td>-0.293208</td>\n",
       "      <td>-0.287745</td>\n",
       "      <td>-0.292442</td>\n",
       "      <td>-0.323814</td>\n",
       "      <td>-0.333411</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>252</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.703041</td>\n",
       "      <td>-0.293208</td>\n",
       "      <td>-0.287745</td>\n",
       "      <td>-0.292442</td>\n",
       "      <td>-0.316106</td>\n",
       "      <td>-0.333411</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>680</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1.703041</td>\n",
       "      <td>-0.264522</td>\n",
       "      <td>-0.281747</td>\n",
       "      <td>-0.292442</td>\n",
       "      <td>-0.323814</td>\n",
       "      <td>-0.333411</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     isFraud  CASH_IN  CASH_OUT  DEBIT  PAYMENT  TRANSFER      step    amount  \\\n",
       "2          1        0         0      0        0         1 -1.703041 -0.297555   \n",
       "3          1        0         1      0        0         0 -1.703041 -0.297555   \n",
       "251        1        0         0      0        0         1 -1.703041 -0.293208   \n",
       "252        1        0         1      0        0         0 -1.703041 -0.293208   \n",
       "680        1        0         0      0        0         1 -1.703041 -0.264522   \n",
       "\n",
       "     oldbalanceOrg  newbalanceOrig  oldbalanceDest  newbalanceDest  \\\n",
       "2        -0.288654       -0.292442       -0.323814       -0.333411   \n",
       "3        -0.288654       -0.292442       -0.317582       -0.333411   \n",
       "251      -0.287745       -0.292442       -0.323814       -0.333411   \n",
       "252      -0.287745       -0.292442       -0.316106       -0.333411   \n",
       "680      -0.281747       -0.292442       -0.323814       -0.333411   \n",
       "\n",
       "     isFlaggedFraud  \n",
       "2                 0  \n",
       "3                 0  \n",
       "251               0  \n",
       "252               0  \n",
       "680               0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fraud = paysim[paysim['isFraud'] == 1]\n",
    "fraud.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "class FraudDataset(Dataset):\n",
    "    def __init__(self, subset):\n",
    "        self.subset = subset\n",
    "        self.n_samples = len(subset)\n",
    "    def __getitem__(self, index):\n",
    "        return self.subset[index]\n",
    "    def __len__(self):\n",
    "        return self.n_samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "def setup_data_loaders(train_ds, test_ds, batch_size=10, use_cuda=True):\n",
    "    kwargs = {'num_workers': 0, 'pin_memory': use_cuda}\n",
    "    train_loader = DataLoader(dataset=train_ds,\n",
    "        batch_size=batch_size, shuffle=True, **kwargs)\n",
    "    test_loader = DataLoader(dataset=test_ds,\n",
    "        batch_size=batch_size, shuffle=False, **kwargs)\n",
    "    return train_loader, test_loader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Decoder(nn.Module):\n",
    "    def __init__(self, z_dim, hidden_dim, hidden_dim2):\n",
    "        super().__init__()\n",
    "        self.fc1 = nn.Linear(z_dim, hidden_dim)\n",
    "        self.softplus = nn.Softplus()\n",
    "        self.fc2 = nn.Linear(hidden_dim, hidden_dim2)\n",
    "        self.softplus2 = nn.Softplus()\n",
    "        self.fc3 = nn.Linear(hidden_dim2, 12)\n",
    "    \n",
    "    def forward(self, z):\n",
    "        hidden = self.softplus(self.fc1(z))\n",
    "        hidden2 = self.softplus2(self.fc2(hidden))\n",
    "        out = self.fc3(hidden2)\n",
    "#         out[:5] = torch.where(out[:5] == out[:5].max(), 1, 0)\n",
    "#         out[-1] = out[-1] > 0 if 1 else 0\n",
    "        return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Encoder(nn.Module):\n",
    "    def __init__(self, z_dim, hidden_dim, hidden_dim2):\n",
    "        super().__init__()\n",
    "        self.fc1 = nn.Linear(12, hidden_dim)\n",
    "        self.softplus = nn.Softplus()\n",
    "        self.fc2 = nn.Linear(hidden_dim, hidden_dim2)\n",
    "        self.softplus2 = nn.Softplus()\n",
    "        self.fc31 = nn.Linear(hidden_dim2, z_dim)\n",
    "        self.fc32 = nn.Linear(hidden_dim2, z_dim)\n",
    "        self.softplus = nn.Softplus()\n",
    "\n",
    "    def forward(self, x):\n",
    "        hidden = self.softplus(self.fc1(x))\n",
    "        hidden2 = self.softplus2(self.fc2(hidden))\n",
    "        z_loc = self.fc31(hidden2)\n",
    "        z_scale = torch.exp(self.fc32(hidden2))\n",
    "        return z_loc, z_scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "class VAE(nn.Module):\n",
    "    def __init__(self, z_dim=3, hidden_dim=8, hidden_dim2 = 6, use_cuda=False):\n",
    "        super().__init__()\n",
    "        self.encoder = Encoder(z_dim, hidden_dim, hidden_dim2)\n",
    "        self.encoder.double()\n",
    "        self.decoder = Decoder(z_dim, hidden_dim, hidden_dim2)\n",
    "        self.decoder.double()\n",
    "        if use_cuda:\n",
    "            self.cuda()\n",
    "        self.use_cuda = use_cuda\n",
    "        self.z_dim = z_dim\n",
    "\n",
    "    # define the model p(x|z)p(z)\n",
    "    def model(self, x):\n",
    "        pyro.module(\"decoder\", self.decoder)\n",
    "        with pyro.plate(\"data\", x.shape[0]):\n",
    "            # setup hyperparameters for prior p(z)\n",
    "            z_loc = x.new_zeros(torch.Size((x.shape[0], self.z_dim)))\n",
    "            z_scale = x.new_ones(torch.Size((x.shape[0], self.z_dim)))\n",
    "            # sample from prior (value will be sampled by guide when computing the ELBO)\n",
    "            z = pyro.sample(\"latent\", dist.Normal(z_loc, z_scale).to_event(1))\n",
    "            # decode the latent code z\n",
    "            trans = self.decoder(z)\n",
    "            # score against actual transaction\n",
    "            pyro.sample(\"obs\", dist.Normal(trans, 1).to_event(1), obs=x)\n",
    "\n",
    "    # define the guide (i.e. variational distribution) q(z|x)\n",
    "    def guide(self, x):\n",
    "        # register PyTorch module `encoder` with Pyro\n",
    "        pyro.module(\"encoder\", self.encoder)\n",
    "        with pyro.plate(\"data\", x.shape[0]):\n",
    "            # use the encoder to get the parameters used to define q(z|x)\n",
    "            z_loc, z_scale = self.encoder(x)\n",
    "            # sample the latent code z\n",
    "            pyro.sample(\"latent\", dist.Normal(z_loc, z_scale).to_event(1))\n",
    "\n",
    "    def reconstruct_transaction(self, x):\n",
    "        z_loc, z_scale = self.encoder(x)\n",
    "        z = dist.Normal(z_loc, z_scale).sample()\n",
    "        trans = self.decoder(z)\n",
    "        return trans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(svi, train_loader, use_cuda=True):\n",
    "    epoch_loss = 0.\n",
    "    for x in train_loader:\n",
    "        if use_cuda:\n",
    "            x = x.cuda()\n",
    "        epoch_loss += svi.step(x)\n",
    "\n",
    "    normalizer_train = len(train_loader.dataset)\n",
    "    total_epoch_loss_train = epoch_loss / normalizer_train\n",
    "    return total_epoch_loss_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {},
   "outputs": [],
   "source": [
    "def evaluate(svi, test_loader, use_cuda=True):\n",
    "    test_loss = 0.\n",
    "    for x in test_loader:\n",
    "        if use_cuda:\n",
    "            x = x.cuda()\n",
    "        test_loss += svi.evaluate_loss(x)\n",
    "    normalizer_test = len(test_loader.dataset)\n",
    "    total_epoch_loss_test = test_loss / normalizer_test\n",
    "    return total_epoch_loss_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "LEARNING_RATE = 1.0e-3\n",
    "USE_CUDA = True\n",
    "NUM_EPOCHS = 1 if smoke_test else 100\n",
    "TEST_FREQUENCY = 5\n",
    "device = \"cuda:0\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "fraud_values = fraud.values[:,1:] \n",
    "l = fraud_values.shape[0]\n",
    "lengths = int(l*0.8), l - int(l*0.8)\n",
    "fraud_train, fraud_test = random_split(fraud_values, lengths)\n",
    "fraud_train_ds = FraudDataset(fraud_train)\n",
    "fraud_test_ds = FraudDataset(fraud_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_loader, test_loader = setup_data_loaders(fraud_train_ds, fraud_test_ds, batch_size=10, use_cuda=USE_CUDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "pyro.clear_param_store()\n",
    "vae = VAE(use_cuda=USE_CUDA)\n",
    "\n",
    "adam_args = {\"lr\": LEARNING_RATE}\n",
    "optimizer = Adam(adam_args)\n",
    "\n",
    "# setup the inference algorithm\n",
    "svi = SVI(vae.model, vae.guide, optimizer, loss=Trace_ELBO())\n",
    "\n",
    "vae_train_elbo = []\n",
    "vae_test_elbo = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[epoch 000]  average training loss: 21.8567\n",
      "[epoch 000] average test loss: 20.6073\n",
      "[epoch 001]  average training loss: 16.0456\n",
      "[epoch 002]  average training loss: 15.3755\n",
      "[epoch 003]  average training loss: 15.2476\n",
      "[epoch 004]  average training loss: 15.1184\n",
      "[epoch 005]  average training loss: 14.9752\n",
      "[epoch 005] average test loss: 17.3104\n",
      "[epoch 006]  average training loss: 14.8725\n",
      "[epoch 007]  average training loss: 14.7898\n",
      "[epoch 008]  average training loss: 14.7447\n",
      "[epoch 009]  average training loss: 14.7225\n",
      "[epoch 010]  average training loss: 14.7093\n",
      "[epoch 010] average test loss: 17.0732\n",
      "[epoch 011]  average training loss: 14.6707\n",
      "[epoch 012]  average training loss: 14.6791\n",
      "[epoch 013]  average training loss: 14.6662\n",
      "[epoch 014]  average training loss: 14.6632\n",
      "[epoch 015]  average training loss: 14.6577\n",
      "[epoch 015] average test loss: 17.0485\n",
      "[epoch 016]  average training loss: 14.6281\n",
      "[epoch 017]  average training loss: 14.6386\n",
      "[epoch 018]  average training loss: 14.6329\n",
      "[epoch 019]  average training loss: 14.6177\n",
      "[epoch 020]  average training loss: 14.6193\n",
      "[epoch 020] average test loss: 17.0152\n",
      "[epoch 021]  average training loss: 14.5931\n",
      "[epoch 022]  average training loss: 14.6120\n",
      "[epoch 023]  average training loss: 14.5900\n",
      "[epoch 024]  average training loss: 14.5877\n",
      "[epoch 025]  average training loss: 14.5907\n",
      "[epoch 025] average test loss: 17.0124\n",
      "[epoch 026]  average training loss: 14.5654\n",
      "[epoch 027]  average training loss: 14.5799\n",
      "[epoch 028]  average training loss: 14.5563\n",
      "[epoch 029]  average training loss: 14.5414\n",
      "[epoch 030]  average training loss: 14.5348\n",
      "[epoch 030] average test loss: 16.9687\n",
      "[epoch 031]  average training loss: 14.5188\n",
      "[epoch 032]  average training loss: 14.5202\n",
      "[epoch 033]  average training loss: 14.4826\n",
      "[epoch 034]  average training loss: 14.4673\n",
      "[epoch 035]  average training loss: 14.4344\n",
      "[epoch 035] average test loss: 16.9381\n",
      "[epoch 036]  average training loss: 14.3958\n",
      "[epoch 037]  average training loss: 14.3966\n",
      "[epoch 038]  average training loss: 14.3432\n",
      "[epoch 039]  average training loss: 14.3290\n",
      "[epoch 040]  average training loss: 14.3310\n",
      "[epoch 040] average test loss: 16.8946\n",
      "[epoch 041]  average training loss: 14.3402\n",
      "[epoch 042]  average training loss: 14.3040\n",
      "[epoch 043]  average training loss: 14.2992\n",
      "[epoch 044]  average training loss: 14.3012\n",
      "[epoch 045]  average training loss: 14.2960\n",
      "[epoch 045] average test loss: 16.8794\n",
      "[epoch 046]  average training loss: 14.3080\n",
      "[epoch 047]  average training loss: 14.2966\n",
      "[epoch 048]  average training loss: 14.3043\n",
      "[epoch 049]  average training loss: 14.2965\n",
      "[epoch 050]  average training loss: 14.2895\n",
      "[epoch 050] average test loss: 16.8506\n",
      "[epoch 051]  average training loss: 14.2995\n",
      "[epoch 052]  average training loss: 14.2793\n",
      "[epoch 053]  average training loss: 14.2739\n",
      "[epoch 054]  average training loss: 14.2742\n",
      "[epoch 055]  average training loss: 14.2720\n",
      "[epoch 055] average test loss: 16.9104\n",
      "[epoch 056]  average training loss: 14.2745\n",
      "[epoch 057]  average training loss: 14.2851\n",
      "[epoch 058]  average training loss: 14.2759\n",
      "[epoch 059]  average training loss: 14.2617\n",
      "[epoch 060]  average training loss: 14.2593\n",
      "[epoch 060] average test loss: 16.8686\n",
      "[epoch 061]  average training loss: 14.2533\n",
      "[epoch 062]  average training loss: 14.2545\n",
      "[epoch 063]  average training loss: 14.2567\n",
      "[epoch 064]  average training loss: 14.2584\n",
      "[epoch 065]  average training loss: 14.2527\n",
      "[epoch 065] average test loss: 16.8631\n",
      "[epoch 066]  average training loss: 14.2271\n",
      "[epoch 067]  average training loss: 14.2398\n",
      "[epoch 068]  average training loss: 14.2505\n",
      "[epoch 069]  average training loss: 14.2383\n",
      "[epoch 070]  average training loss: 14.2299\n",
      "[epoch 070] average test loss: 16.8333\n",
      "[epoch 071]  average training loss: 14.2225\n",
      "[epoch 072]  average training loss: 14.2436\n",
      "[epoch 073]  average training loss: 14.2342\n",
      "[epoch 074]  average training loss: 14.2373\n",
      "[epoch 075]  average training loss: 14.2360\n",
      "[epoch 075] average test loss: 16.8600\n",
      "[epoch 076]  average training loss: 14.2209\n",
      "[epoch 077]  average training loss: 14.2244\n",
      "[epoch 078]  average training loss: 14.2266\n",
      "[epoch 079]  average training loss: 14.2291\n",
      "[epoch 080]  average training loss: 14.2076\n",
      "[epoch 080] average test loss: 16.8284\n",
      "[epoch 081]  average training loss: 14.2178\n",
      "[epoch 082]  average training loss: 14.2221\n",
      "[epoch 083]  average training loss: 14.2252\n",
      "[epoch 084]  average training loss: 14.2096\n",
      "[epoch 085]  average training loss: 14.2092\n",
      "[epoch 085] average test loss: 16.7989\n",
      "[epoch 086]  average training loss: 14.2200\n",
      "[epoch 087]  average training loss: 14.2154\n",
      "[epoch 088]  average training loss: 14.2088\n",
      "[epoch 089]  average training loss: 14.2010\n",
      "[epoch 090]  average training loss: 14.1945\n",
      "[epoch 090] average test loss: 16.7969\n",
      "[epoch 091]  average training loss: 14.1901\n",
      "[epoch 092]  average training loss: 14.1918\n",
      "[epoch 093]  average training loss: 14.1957\n",
      "[epoch 094]  average training loss: 14.1935\n",
      "[epoch 095]  average training loss: 14.1665\n",
      "[epoch 095] average test loss: 16.7480\n",
      "[epoch 096]  average training loss: 14.1639\n",
      "[epoch 097]  average training loss: 14.1505\n",
      "[epoch 098]  average training loss: 14.1480\n",
      "[epoch 099]  average training loss: 14.1262\n"
     ]
    }
   ],
   "source": [
    "# training loop\n",
    "for epoch in range(NUM_EPOCHS):\n",
    "    total_epoch_loss_train = train(svi, train_loader, use_cuda=USE_CUDA)\n",
    "    vae_train_elbo.append(total_epoch_loss_train)\n",
    "    print(\"[epoch %03d]  average training loss: %.4f\" % (epoch, total_epoch_loss_train))\n",
    "\n",
    "    if epoch % TEST_FREQUENCY == 0:\n",
    "        # report test diagnostics\n",
    "        total_epoch_loss_test = evaluate(svi, test_loader, use_cuda=USE_CUDA)\n",
    "        vae_test_elbo.append(total_epoch_loss_test)\n",
    "        print(\"[epoch %03d] average test loss: %.4f\" % (epoch, total_epoch_loss_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.save(vae, \"./vae\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "pyro.clear_param_store()\n",
    "vae = torch.load(\"./vae.pt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_loss(epoches, loss, title):\n",
    "    plt.figure(figsize = (10,7))\n",
    "    plt.plot(list(range(epoches)), loss, label=title)\n",
    "    plt.xlabel(\"Epoch\")\n",
    "    plt.ylabel(\"ELBO\")\n",
    "    plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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pDklrnXPfD+s6ucIm2QAAIGxhzmo8RdJlkl4ysxeCY1+WVCTpx5JqJf3BzF5wzv19iO3YL36EwfUAACBcYc5qfEpStqmLvw3rugcrygKqAAAgZKxcH0gPrid4AQCA8BC8An7EFGflegAAECKCVyDqUfECAADhIngF/Igp5aQUVS8AABASglcgGkn/KljLCwAAhIXgFfC99ARM1vICAABhIXgFeiteBC8AABAWglcgGklXvOhqBAAAYSF4BXwqXgAAIGQEr0DvGC9WrwcAAGEheAX6xnixnAQAAAgJwSvgR3pnNVLxAgAA4SB4BXwvWMeLMV4AACAkBK9A76zGBLMaAQBASAhegd5ZjVS8AABAWAhegajHGC8AABAuglfAZ1YjAAAIGcEr0DurkXW8AABAWAhegajHyvUAACBcBK+Az6xGAAAQMoJXoHc5iR4qXgAAICQEr4Df19VIxQsAAISD4BXYs2UQFS8AABAOglegd5PsOGO8AABASAheAd+j4gUAAMJF8Ars2TKIihcAAAgHwSuwZ5NsKl4AACAcBK8AsxoBAEDYCF6BaN+WQVS8AABAOAheATNTxDNWrgcAAKEheGWIRoxZjQAAIDQErwxRz6OrEQAAhIbglcGP0NUIAADCQ/DK4EeoeAEAgPAQvDJEPWM5CQAAEBqCVwY/4rGAKgAACE1owcvMJprZY2a21szWmNmnguMjzexhM3s1+FodVhsOlB8xtgwCAAChCbPilZD0OefcTEknS/q4mc2S9EVJjzrnjpH0aPB4SIh6HstJAACA0IQWvJxzW5xzK4P7rZLWShov6XxJPw9O+7mkD4TVhgPFrEYAABCmvIzxMrMpko6T9IykMc65LVI6nEkaneV7rjaz5Wa2vKmpKR/NZFYjAAAIVejBy8zKJf1G0qedcy37+33Ouducc/XOufra2trwGpghypZBAAAgRKEGLzOLKh267nbO3R8c3mZm44Lnx0lqDLMNB8KPmOIJKl4AACAcYc5qNEl3SFrrnPt+xlO/l3RFcP8KSb8Lqw0HKhrxFKfiBQAAQuKH+NqnSLpM0ktm9kJw7MuSviPpXjO7StJbkj4UYhsOiO+xSTYAAAhPaMHLOfeUJMvy9JlhXfdQpAfXU/ECAADhYOX6DNGIsXI9AAAIDcErg+957NUIAABCQ/DKkN4yiIoXAAAIB8ErQ9TzWMcLAACEhuCVwY8wqxEAAISH4JUhyqxGAAAQIoJXBt9jViMAAAgPwSuDH/HoagQAAKEheGWIRYwtgwAAQGgIXhn8iCfnpCTdjQAAIAQErwx+JL3DEQPsAQBAGAheGaJe+tfBAHsAABAGgleG3ooX2wYBAIAwELwy+JH0r4NtgwAAQBgIXhmiXlDxYmYjAAAIAcErQ2/Fi7W8AABAGAheGaLMagQAACEieGXwPcZ4AQCA8BC8MrCOFwAACBPBK0NvVyPreAEAgDAQvDL0djWyjhcAAAgDwSvDnq5GKl4AACD3CF4Zor3LSbCOFwAACAHBK4Pfu4AqFS8AABACgleGaN+WQVS8AABA7hG8MvjMagQAACEieGXYs4AqFS8AAJB7BK8Mfet4McYLAACEgOCVwWdWIwAACBHBK0PUYx0vAAAQHoJXhr6KF2O8AABACAheGZjVCAAAwkTwyhDrW8eL4AUAAHKP4JVhz8r1dDUCAIDcI3hliPQOrqerEQAAhCC04GVmd5pZo5mtzjg2z8yeNrOXzOw/zKwyrOsfDDNTNGJUvAAAQCjCrHgtlXROv2O3S/qic26upN9K+ucQr39QfM9jcD0AAAhFaMHLOfeEpOZ+h2dIeiK4/7CkC8O6/sHyI8aWQQAAIBT5HuO1WtI/Bvc/JGlithPN7GozW25my5uamvLSOEmKRjyCFwAACEW+g9eVkj5uZiskVUjqyXaic+4251y9c66+trY2bw30PWOvRgAAEAo/nxdzzq2TdLYkmdl0Se/P5/X3R7riRfACAAC5l9eKl5mNDr56kv5F0q35vP7+8CPGJtkAACAUYS4nsUzS05JmmFmDmV0laZGZrZe0TtJmST8L6/oHi65GAAAQltC6Gp1zi7I89aOwrpkLDK4HAABhYeX6ftJdjVS8AABA7hG8+vE9Kl4AACAcBK9+0lsGUfECAAC5R/DqJ71lEBUvAACQewSvftJbBlHxAgAAuUfw6icaoeIFAADCQfDqh3W8AABAWAhe/bCOFwAACAvBqx/W8QIAAGEhePXjex5djQAAIBQEr36iEaOrEQAAhILg1U96ViMVLwAAkHsEr358Kl4AACAkBK9+ohHGeAEAgHAQvPrxPWMBVQAAEAqCVz9+xFM86eQcVS8AAJBbBK9+op5JEgPsAQBAzhG8+vEj6V8J47wAAECuEbz6iUbSFa8447wAAECOEbz68Xu7Gql4AQCAHCN49bOnq5GKFwAAyC2CVz97uhqpeAEAgNwiePXje1S8AABAOAhe/fi9FS/GeAEAgBwjePUT7R3jxaxGAACQYwSvfpjVCAAAwkLw6qe34hVnjBcAAMgxglc/vWO82DIIAADkGsGrn95ZjVS8AABArhG8+uldx4sxXgAAINcGDV5mNsfM7jKz5Wb2nJn93Mzq8tG4QvCZ1QgAAEKyz+BlZudL+q2kv0i6UtLHJD0u6TfBc4ed3lmNrOMFAAByzR/k+X+TdJZzbmPGsRfN7M+SfhfcDit963gRvAAAQI4N1tUY7Re6JEnBsWgYDSq0PbMa6WoEAAC5NVjwipvZpP4HzWyypEQ4TSqsaN+sRipeAAAgtwbravyqpEfM7NuSVkhykk6Q9EVJ14XctoKI+r2zGql4AQCA3Npn8HLOPWBmb0j6nKRPSDJJayR92Dn34r6+18zulHSepEbn3Jzg2HxJt0oqVrpitsQ59+wh/xQ51LeOFwuoAgCAHBus4qUgYF1+EK+9VNJNku7KOPY9SV93zv2nmf1D8HjhQbx2aHrX8YonqHgBAIDcGmw5iVFm9lUz+6SZlZvZT8xstZn9zszeta/vdc49Iam5/2FJlcH9KkmbD7rlIWEdLwAAEJbBBtf/UlKRpGMkPSvpDUkXSXpQ0u0Hcb1PS/rfZrZJ0g2SvpTtRDO7Oli0dXlTU9NBXOrgsI4XAAAIy2DBa4xz7suSPimp3Dn3PefcOufcTyWNOIjrXSvpM865iZI+I+mObCc6525zztU75+pra2sP4lIHh3W8AABAWAYLXklJcs45Sdv7PXcwfXFXSLo/uP9rSScexGuEKuKZzOhqBAAAuTfY4Pqjzez3Ss9m7L2v4PHUg7jeZkmnK70F0XslvXoQrxG6qOfR1QgAAHJusOCVuR/jDf2e6//4HcxsmdIzFkeZWYPSa4L9T0k/MjNfUpekqw+otXniR4x1vAAAQM4Nto7X49meM7NfKb1hdrbvXZTlqeP3r2mF43umBOt4AQCAHBtsjNe+vDtnrRhiohFPcSpeAAAgxw4leB220l2NVLwAAEBu7bOr0cwWZHtKUjT3zRkafM9TnFmNAAAgxwYbXP/v+3huXS4bMpREqXgBAIAQDDa4/ox8NWQo8SMe63gBAICcG2yvxi9k3P9Qv+e+HVajCs33jHW8AABAzg02uP6SjPv991U8J8dtGTKiEY91vAAAQM4NFrwsy/2BHh82/AjreAEAgNwbLHi5LPcHenzYSG8ZRMULAADk1mCzGueZWYvS1a2S4L6Cx8WhtqyA/IipJ0HwAgAAuTXYrMZIvhoylPgRT+09yUI3AwAAHGZYuX4AUY9NsgEAQO4RvAbAlkEAACAMBK8BsEk2AAAIA8FrANEIezUCAIDcI3gNwPfoagQAALlH8BqAH/HYMggAAOQcwWsA0YixSTYAAMg5gtcAfM+jqxEAAOQcwWsA0YgxqxEAAOQcwWsAbJINAADCQPAagO95SqacnCN8AQCA3CF4DSAaMUliZiMAAMgpgtcA/Ej618LMRgAAkEsErwH4HhUvAACQewSvAUR7K17MbAQAADlE8BqAH4zxYmYjAADIJYLXAKJe+tfCWl4AACCXCF4D6Kt4McYLAADkEMFrAMxqBAAAYSB4DSDKrEYAABACgtcA+ipeBC8AAJBDBK8B9I7xitPVCAAAcojgNYDeWY1UvAAAQC4RvAbQV/FiOQkAAJBDBK8BRAleAAAgBKEFLzO708wazWx1xrFfmdkLwW2jmb0Q1vUPhU9XIwAACIEf4msvlXSTpLt6DzjnLu69b2b/Lml3iNc/aFHW8QIAACEILXg5554wsykDPWdmJunDkt4b1vUPxZ6uRipeAAAgdwo1xus0Sducc69mO8HMrjaz5Wa2vKmpKY9NY+V6AAAQjkIFr0WSlu3rBOfcbc65eudcfW1tbZ6aleazcj0AAAhBmGO8BmRmvqQLJB2f72vvrygr1wMAgBAUouL1PknrnHMNBbj2fuldx4uuRgAAkEthLiexTNLTkmaYWYOZXRU8dYkG6WYstN6V6+lqBAAAuRTmrMZFWY4vDuuaudJX8WIBVQAAkEOsXD+APV2NVLwAAEDuELwGsKerkYoXAADIHYLXADzP5BmzGgEAQG4RvLLwI57izGoEAAA5RPDKIuoZFS8AAJBTBK8s/IjHrEYAAJBTBK8sohFTnFmNAAAghwheWfgeFS8AAJBbBK8s/AhjvAAAQG4RvLKIRjy6GgEAQE4RvLLwPVM8QVcjAADIHYJXFn7EU4J1vAAAQA4RvLKIRkxxxngBAIAcInhl4XtGxQsAAOQUwSsLP+JR8QIAADlF8MoiGjHW8QIAADlF8MoiGvGUYDkJAACQQwSvLHyPrkYAAJBbBK8s6GoEAAC5RvDKwqerEQAA5BjBK4uoZ4pT8QIAADlE8MqCTbIBAECuEbyyYMsgAACQawSvLNJdjVS8AABA7hC8svAjHrMaAQBAThG8svAjpjizGgEAQA4RvLKIelS8AABAbhG8svAjppSTUlS9AABAjhC8sohG0r+aODMbAQBAjhC8svA9kyTW8gIAADlD8MrCDypeBC8AAJArBK8sopF0xauHAfYAACBHCF5Z+F5Q8WKMFwAAyBGCVxZ+hDFeAAAgtwheWfR2NcbpagQAADlC8MpiT1cjFS8AAJAboQUvM7vTzBrNbHW/458ws1fMbI2ZfS+s6x+qIj/9q+mKJwvcEgAAcLgIs+K1VNI5mQfM7AxJ50uqc87NlnRDiNc/JJNryiRJb2xvL3BLAADA4SK04OWce0JSc7/D10r6jnOuOzinMazrH6qpo8rke6b121oL3RQAAHCYyPcYr+mSTjOzZ8zscTM7IduJZna1mS03s+VNTU15bGJazPc0dVSZXtnalvdrAwCAw1O+g5cvqVrSyZL+WdK9ZmYDneicu805V++cq6+trc1nG/tMH1tBxQsAAORMvoNXg6T7XdqzklKSRuW5DfttxpgKbdrZoY6eRKGbAgAADgP5Dl4PSHqvJJnZdEkxSdvz3Ib9Nn1MuZyTXmukuxEAABy6MJeTWCbpaUkzzKzBzK6SdKeko4MlJu6RdIVzbsgulDV9TIUk6ZWtdDcCAIBD54f1ws65RVme+khY18y1yTVlivke47wAAEBOsHL9PkQ80zGjy7V+G12NAADg0BG8BjF9DDMbAQBAbhC8BjF9TIW27O7S7s54oZsCAACGOYLXIGaMLZckvUrVCwAAHCKC1yB6ZzYyzgsAABwqgtcgxo8oUVkswjgvAABwyAhegzAzHTOmgrW8AADAISN47YcZzGwEAAA5QPDaD9PHVmhHe4+2t3UXuikAAGAYI3jth+lj0jMbqXoBAIBDQfDaDzN6ZzYyzgsAABwCgtd+qK0o0ojSqF5hSQkAAHAICF77wcw0fUwFi6gCAIBDQvDaT9PHlOuVba1yzhW6KQAAYJgieO2nGWMq1NqV0NaWrkI3BQAADFMEr/3Uu3UQC6kCAICDRfDaT73B61UG2AMAgINE8NpP1WUx1VYU6RUG2AMAgINE8DoAbB0EAAAOBcHrAKSXlGhTKsXMRgAAcOAIXgdgxthydcaTatjZWeimAACAYYjgdQCOHVspSbpvZUOBWwIAAIYjgtcBqJtQpQ/MP0o3Pvqq7l2+qdDNAQAAw4xf6AYMJ2am7100Tzvae73EUCwAABh5SURBVPSl+19SbXmRzjh2dKGbBQAAhgkqXgco5nv6yUeO18xxFVpy90q9sGlXoZsEAACGCYLXQSgv8nXn4hM0qiKmK5c+pze2txe6SQAAYBggeB2k0RXFuuvKkyRJl9/5jJpauwvcIgAAMNQRvA7B1FFlunPxCdre2qMrlz6n9u5EoZsEAACGMILXIZo/cYRu+h/Hac3m3Vpy90rFk6lCNwkAAAxRBK8cOHPmGH3rg3P1+Pomffn+l+QcK9sDAIC9sZxEjiw6cZK27OrUjX9+TeNGlOizZ00vdJMAAMAQQ/DKoc+cNV1bdnfpxkdf1biqYi06cVKhmwQAAIYQglcOmZm+fcFcNbZ2618eWK2xVcU6YwYLrAIAgDTGeOVYNOLplksXaMaYCn3yl8/r9aa2QjcJAAAMEQSvEJQV+brt8uPlR0xX/98Vau2KF7pJAABgCAgteJnZnWbWaGarM459zczeNrMXgts/hHX9QptQXaqb/8cCvbG9XZ+790WlUsx0BADgSBdmxWuppHMGOP4D59z84PbHEK9fcO951yh96dxj9V8vb9PNj71W6OYAAIACCy14OeeekNQc1usPF1edOlUfmH+Uvv/Iev153bZCNwcAABRQIcZ4/S8zWxV0RVZnO8nMrjaz5Wa2vKmpKZ/tyykz0/UX1GnWuEp9atkLDLYHAOAIlu/g9RNJ0yTNl7RF0r9nO9E5d5tzrt45V19bW5uv9oWiJBbR/7nseEV9T5fe/oxe3dZa6CYBAIACyGvwcs5tc84lnXMpST+VdGI+r19IE6pL9X+vOlGJlNNFtz6t5RuP+F5YAACOOHkNXmY2LuPhByWtznbu4Wj2UVW6/9r3qKYspktvf0Z/WrO10E0CAAB5FOZyEsskPS1phpk1mNlVkr5nZi+Z2SpJZ0j6TFjXH6omjizVfde+RzPHVeraX6zQ3c+8WegmAQCAPAltyyDn3KIBDt8R1vWGk5FlMf3yf56k//XL5/WV367W2zs79dmzpsuPsJ4tAACHM/6lL5DSmK/bLjtei06cqFv+skGLfvo3NezsKHSzAABAiAheBeRHPF1/QZ1+dMl8rd3SqnN/9KT+sGpLoZsFAABCQvAaAs6fP15//ORpOrq2XB//5Updd98qdfQkCt0sAACQYwSvIWJSTanuu+bdWrJwmu5dsUlnff8J3fzYa2ps6Sp00wAAQI6Yc0N/8+b6+nq3fPnyQjcjb57esEM3Pvqqnn59hyKe6YwZo7XoxIk6fXotA/ABABjizGyFc65+oOdCm9WIg/fuaTV697QavbG9Xb96bpPuW9GgR9ZuU01ZTHUTqjRnfJVmH1Wp2UdVaUJ1icys0E0GAAD7gYrXMBBPpvTo2kb915qtWrO5Ra81tSmZSr9vFcW+xo8o0fgRJRo3olhHjSjRhOpSnTKtRjXlRQVuOQAARx4qXsNcNOLpnDljdc6csZKkrnhS67a2as3m3Vq3pVWbd3Vq8+4urXhrp3Z1xCVJEc/0nmk1ev/ccfr72WNVXRYr5I8AAABExeuw09GT0IbGdj20ZoseXLVFb+7okO+Z3j2tRmUxXzs7erSrI66dHT3a3RlXWZGvcVXFGldVkv46olgjSmKK+Z6iEVOR7ynmeyqORlQW81VWFFFpzFdZka/yIl8Rj25OAAAy7aviRfA6jDnntGZzi/5j1Wb9eW2jJKm6NKYRpVFVl8ZUVRpVW3dCW3Z1asvuLm3Z3aXdnfH9fv3SWEQnTh2p90yr0XumjdLMcZXvCGKJZErN7emAVxyNqKwoHdyK/EjOf1YAAIYKghf2W3t3Qm3dCfUkUupOpNSTSKknmVJnT1IdPQm19yTVEZyzcUe7nt6wQxua2iVJVSVRzRhbod0dcW1v61ZzR48G+uMVjZgqiqM6akSxJlaXatLIUk0cWaoJ1SWKRTwlnVMi5ZRKOSVTTpNrynTM6HJ5VNcAAMMAY7yw39JVqQP7Y7GtpUt/e32H/vraDr3W1KZJNaU6fkq1RpUXqbaiSFUlUXXHk2rvTge39u6EWrriatjZqVe2terRtY3qSab2eY2KYl8LJlWrfnK1jp9cLc8zvbqtVa82tmn9tla91tgmSZo5Lj3bc/ZRlZozvkqTR5YOGtiSKSfnHEt1AABCR8ULBZdKOW1r7VLDzk4lU04Rz9I3M5lJ67e1acWbO7XizWat39b2ju+tKPL1rjHlmj66Qk7prtX121oVT+75cx2NmHzPkx8xRSOePFNfJS+eTFfVPJOOHVup4yaN0IJJ1VowuVpTakrVnUipYWenGnZ2aNPOTm3d3akJ1aWqm1Cl6WMqFCWsAQD6oasRh43dHXE9v2mnzEzTx5RrbGXxXuuY9SRSWr+tVS9vblHDzg7FU06JIGQlUimlnBSLeH0TCGKRiLoTSa1q2K0XNu1SW3d6u6bSWEQdPcl3vLaZ+rpPi3xPs46q1LwJIzRtdLkmVpdo0shSja8uYRwbABzB6GrEYaOqNKqFM0bv85yY72nO+PRCswcqmXJ6rbFNz7+1U+u2tmpkWUwTR5ZoYnWpJlSXqraiSJuaO7Tq7d1atWmXVjXs1r3LN70joJlJYyqKVVtRpIri9OzPiuKoKop91VYUaXJNqabUlGlSTakqi6MH3EYAwPBFxQs4RKmUU2Nrtzbt7NBbOzq0aWeHNjV3qrm9W61dCbV2pScjtHTF1dr1zs3PR5bFNKo8ppRLv07Spbs+y4t8vW/mGJ07d6xmjatkdwIAGEboagSGiPbuhN5q7tCbOzr05o52bdzRoeb2bkU8k2d7xrZt2d2lZ97YoZSTJteU6tw543TWrDGaPqZcFVTJAGBII3gBw9COtm49/PI2/XH1Vv31te1KBNtEVZdG+5bgmFJTpndPq1H9lGrGlQHAEEHwAoa5XR09+tvrO/Tmjg691bzn1jsTtDQW0SnvGqWFM2q1cMZojR9RUugmA8ARi8H1wDA3ojSmc+aM2+t4R09Cf31th/6yvlGPrWvSwy9vkyTVTajS++eO0z/MHaeJI0vz3VwAQBZUvIDDhHNOG5ra9OjaRv3xpS16sWG3JGnexBF6/9yxmjSyVM5JKSc5OaWcNOeoSh1dW17glgPA4YWuRuAItKm5Qw+u2qI/vLRZq99uGfAcM+nsWWN0zenTdNyk6jy3EAAOTwQv4AjXsLNDLZ0JeZ5kMnkmJZ3TH1Zt0V1Pv6ndnXGdfPRIXXP6NJ0+vZblKwDgEBC8AGTV1p3QPc++pduffENbW7pUUxbThGDT8vStVNWlUSWDTcsTKadE0qkrntTOjh7taO9Rc1uPmtt71JNM6dR3jdI5c8Zq9lGsPwbgyETwAjConkRK//HiZj23sVlv7+pUw85Ovb2zc58bmHsmVZfGVF0W08iymJIpp+ff2qmUk8aPKNHZs8fofTPHaHRFkUpiEZVEIyqN+SqOenJO6RCXSimRckomnWK+p5JoZK+NzXsSKW1r6VJja5e27u6Wk9PoimKNqSzS6IpilcT2LKXRFU+qpTOuXZ1x9SRSqiyOqqokvXPAYBumA0AuELwAHJRUyqmprVs7O3rSG417Jj/YdLzI91RZElWkX5jZ0datR9c26k9rturJ17arJ5E9uGVTEo2orCiiklhEHd1J7Wjv2ef5FcW+SqIR7e6MqzvL9czUF8IqS3xVFKW/VhZHVRqLaFdnXNvburWjrUfb27q1qyOucSOKdezYSh07tkIzxlbo2LEVqi0vVmlRJKcbpCdTTjvau9XU2q3tbT1q7YqrqiSqkUGgHVkWY502YBgheAEoiLbuhJZvbFZrV0KdPUl1xpPqCL56JkUjniKeyffSq/bHkym1dyfV0ZNQe09SHd0JlcR8ja0s1tiqIo2pLNaYymJ5Zmps7dK2lm41tnapsaVbnT1JjSiNqrIkHa6qSqIq8j21dCW0q6NHLZ1x7Q4qYemtnOJq6Uxv5dQRfG9NWUw15UUaVV6kyhJfDc2dWre1RW9sb1eq31+VMd9TWSxdwfMj1rd5ulP6jikdUqOelw6rEU8mKZFKKZ5wiqdSiidT6uxJqrm9Z6/X76+iyNe4EcWaUF2q8SPS3cBHjShRWVFEvucpGklv+h6NeCqNRVRW5Ku82FdZzN8rHPdybk/XcTyVUiLYSL63W7m3a9kklRX5KivyVTpARRLAO7GOF4CCKC/yB93U/GDNGFsRyusOpCue1GuNbVq/rVU7O+Lq6A6CYU96H85UkJp6x7SZpJRziqecEslUEGycnHOKRdIhyY+YYhFPRdGIaiuKVFseU21FOvRVFEe1uzOu5vae4JauhL29K939u3xjs1r67fu5L6WxiCJmfXuBpvq+HtzvozQWUXVpTHPHV2nB5BFaMKlac8ZXqTiarsolU07b27q1ZXeXtu7uVFNruprX1Nb7tUflRRGNrSzR2KoijQ0C9aiKIlWXxjSiJDpgNbW/7kRSr25r08tbWtTU2t0XnkeWFWlkWUyVxb4SKaeeREo9yZR6Eumw27s9l5mC4O9pbFWxyov4JxHh408ZAAyiOBrRnPFVmjO+qtBN6dPSFdeWXV3qiieVSKXUk3CKJ9PBoqMnqbbuhNq705u0t3cnlHROkSBweMGeoJ5ninrpalw0ElQeI15fBbL3q3NSe0/6ddq7k2rvTqixtVsvbNqlh9ZslSRFI6ZpteVq6YxrW2u3kv1SnWdSTXmRasuLVFMeU1t3Qk9v2D7guVK6a7iqJNoXwqpKoqosTt/v7Elo7ZZWbWhq69tKKxdGlsU0cWSpJlaXaOLIUkU9U3ciFdyS6o6nA1xvZTCe+TWZ/tr7HpQX+Zo5rlKzjqrUrHGVOnZcpcqLfCWSKTV39Gh7a7pLe2dHj7riyaAinFJXPKmueFLdGWGxJ5GuQo6uLNLkkaWaXFOmSTXpCTADdUF3J5J9Ybcx+BpPplQai6gk5gdjLdO3imJfFcXRvu56JsSEj65GAMBBa2rt1sq3dmrlWzu1fmurqktjGjeiWGOrSjSuslhjq9LVrJFlsQErWMmU046gOtbc3qOdHT3a1RHXro4e7exIdw+3dAVfO+Nq6Uoo6pmOHVepmeMqNHNcpWaOq9RRVSXa1dmTUSXsUUtXQrGg+zXme33VxpRLV/t6q3/xZEpbdnfpreYObQq243p7Z6eSzqnI91TkR1Tk73mN3nGO0aAL2fdMMT+oZHqmqO9pV0ePXt7cop0dcUl7guTuzrgG+2c35nvBddPXi/mePDNtbelSR0/yHedGIyaTKfhPZlJX/MDHVUrp6l9Fsa8RvUG3JKoRpTFVlfgqL4oGIS19K4v5Ko35Kol5Ko6mJ84URSNyzu3VVd2dSPWFyd5gmW578PsKfqfjqko0rbbssAh/jPECAOAApFJOZjqkEOCc09aWLr28uUUvb25RY2u3RpbFNKqiSKOCr9Wl0WCmbxBefC/rGDrnnLa39eit5na9uaNDm5o71ZVIygW7UQT/qaLI1+jKoqALu1i1FUWK+Z46eytrwTjL9u6EWrvT4x0zxz3uzhgP2Ts2srUrrngy/Lwwsiym+snVOmHKSJ0wdaSOGV2umJ8OaMMpkBG8AADAIemKJ9XalR7X2NaVSAe5oILVezNLd2P7kXQ3dcRMRVFPxX5ERdF09bB3LGCib0JHuur4elObntu4U89tbNabOzr2un7v5JGyIl9HVRXrqBElfbfRQbjsrUhGI+mlaaaNLi/I2D2CFwAAGDYaW7r03Mad2rSzQ4lkSj294+cSKbV2JbR5d6c27+rU5l1d6owns76OmTSlpqxvrN3soyp13MRqVZVGQ20/sxoBAMCwMbqyWO+vGzfoec457eqIq6mtu2/WaiLl0gGtO6FXtrZqzebdWtWwS39YtUWS9KNL5uv8+ePD/hGyIngBAIBhycxUXZbePWMgfz97bN/93Z1xvby5RdPHlOereQMieAEAgMNeVUlU755WU+hmKHd7XvRjZneaWaOZrR7guc+bmTOzUWFdHwAAYKgJLXhJWirpnP4HzWyipLMkvRXitQEAAIac0IKXc+4JSc0DPPUDSV+QNPSnUwIAAORQmBWvvZjZP0p62zn34n6ce7WZLTez5U1NTXloHQAAQLjyFrzMrFTSVyT96/6c75y7zTlX75yrr62tDbdxAAAAeZDPitc0SVMlvWhmGyVNkLTSzMbu87sAAAAOE3lbTsI595Kk0b2Pg/BV75zbnq82AAAAFFKYy0ksk/S0pBlm1mBmV4V1LQAAgOEgtIqXc27RIM9PCevaAAAAQ1FeZzUCAAAcyQheAAAAeULwAgAAyBOCFwAAQJ4QvAAAAPKE4AUAAJAn5tzQ36vazJokvRnyZUZJYjHXoYn3ZmjifRm6eG+GJt6XoSvX781k59yA+x0Oi+CVD2a23DlXX+h2YG+8N0MT78vQxXszNPG+DF35fG/oagQAAMgTghcAAECeELz2uK3QDUBWvDdDE+/L0MV7MzTxvgxdeXtvGOMFAACQJ1S8AAAA8oTgBQAAkCcEL0lmdo6ZvWJmr5nZFwvdniOVmU00s8fMbK2ZrTGzTwXHR5rZw2b2avC1utBtPRKZWcTMnjezB4PHU83smeB9+ZWZxQrdxiORmY0ws/vMbF3w2Xk3n5mhwcw+E/xdttrMlplZMZ+b/DOzO82s0cxWZxwb8DNiaTcGeWCVmS3IdXuO+OBlZhFJN0s6V9IsSYvMbFZhW3XESkj6nHNupqSTJX08eC++KOlR59wxkh4NHiP/PiVpbcbj70r6QfC+7JR0VUFahR9Jesg5d6ykeUq/R3xmCszMxkv6pKR659wcSRFJl4jPTSEslXROv2PZPiPnSjomuF0t6Se5bswRH7wknSjpNefc6865Hkn3SDq/wG06IjnntjjnVgb3W5X+B2S80u/Hz4PTfi7pA4Vp4ZHLzCZIer+k24PHJum9ku4LTuF9KQAzq5T0d5LukCTnXI9zbpf4zAwVvqQSM/MllUraIj43eeece0JSc7/D2T4j50u6y6X9TdIIMxuXy/YQvNL/sG/KeNwQHEMBmdkUScdJekbSGOfcFikdziSNLlzLjlg/lPQFSangcY2kXc65RPCYz01hHC2pSdLPgm7g282sTHxmCs4597akGyS9pXTg2i1phfjcDBXZPiOhZwKCl2QDHGONjQIys3JJv5H0aedcS6Hbc6Qzs/MkNTrnVmQeHuBUPjf550taIOknzrnjJLWLbsUhIRgzdL6kqZKOklSmdDdWf3xuhpbQ/24jeKXT7MSMxxMkbS5QW454ZhZVOnTd7Zy7Pzi8rbfUG3xtLFT7jlCnSPpHM9uodFf8e5WugI0IulAkPjeF0iCpwTn3TPD4PqWDGJ+ZwnufpDecc03Oubik+yW9R3xuhopsn5HQMwHBS3pO0jHBTJOY0oMff1/gNh2RgnFDd0ha65z7fsZTv5d0RXD/Ckm/y3fbjmTOuS855yY456Yo/fn4s3PuUkmPSbooOI33pQCcc1slbTKzGcGhMyW9LD4zQ8Fbkk42s9Lg77be94bPzdCQ7TPye0mXB7MbT5a0u7dLMldYuV6Smf2D0v8HH5F0p3PuWwVu0hHJzE6V9KSkl7RnLNGXlR7nda+kSUr/ZfYh51z/gZLIAzNbKOnzzrnzzOxopStgIyU9L+kjzrnuQrbvSGRm85We9BCT9Lqkjyr9P9V8ZgrMzL4u6WKlZ2w/L+ljSo8X4nOTR2a2TNJCSaMkbZP0VUkPaIDPSBCSb1J6FmSHpI8655bntD0ELwAAgPygqxEAACBPCF4AAAB5QvACAADIE4IXAABAnhC8AAAA8oTgBWDYM7Okmb2QccvZ6u1mNsXMVufq9QAc2fzBTwGAIa/TOTe/0I0AgMFQ8QJw2DKzjWb2XTN7Nri9Kzg+2cweNbNVwddJwfExZvZbM3sxuL0neKmImf3UzNaY2X+ZWUnBfigAwxrBC8DhoKRfV+PFGc+1OOdOVHo16h8Gx26SdJdzrk7S3ZJuDI7fKOlx59w8pfc8XBMcP0bSzc652ZJ2Sbow5J8HwGGKlesBDHtm1uacKx/g+EZJ73XOvR5swL7VOVdjZtsljXPOxYPjW5xzo8ysSdKEzC1czGyKpIedc8cEj6+TFHXOfTP8nwzA4YaKF4DDnctyP9s5A8ncSy8pxscCOEgELwCHu4szvj4d3P+rpEuC+5dKeiq4/6ikayXJzCJmVpmvRgI4MvB/bQAOByVm9kLG44ecc71LShSZ2TNK/4/mouDYJyXdaWb/LKlJ0keD45+SdJuZXaV0ZetaSVtCbz2AIwZjvAActoIxXvXOue2FbgsASHQ1AgAA5A0VLwAAgDyh4gUAAJAnBC8AAIA8IXgBAADkCcELAAAgTwheAAAAefL/APYW/Ka0GRYGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_loss(NUM_EPOCHS, vae_train_elbo, \"VAE training loss per epoch\")\n",
    "plot_loss(len(vae_test_elbo), vae_test_elbo, \"VAE testing loss per epoch\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Decoding : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_fraud(size = 8e3):\n",
    "    fraud_sample_size = int(size)\n",
    "    z_loc = torch.zeros(fraud_sample_size, 3)\n",
    "    z_scale = torch.ones(fraud_sample_size, 3)\n",
    "    # sample from prior (value will be sampled by guide when computing the ELBO)\n",
    "    z = pyro.sample(\"latent\", dist.Normal(z_loc, z_scale).to_event(1))\n",
    "    z = z.to(device)\n",
    "    vae.float()\n",
    "    vae.to(device)\n",
    "    fraud_gen = vae.decoder(z)\n",
    "    fraud_gen = fraud_gen.detach()\n",
    "    fraud_gen = fraud_gen.to(\"cpu\")\n",
    "    return fraud_gen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reconstruct_fraud(fraud_gen):\n",
    "    fraud_gen[:, :5] = torch.where(fraud_gen[:, :5] == fraud_gen[:, :5].max(axis = 1).values.reshape(-1, 1), 1, 0)\n",
    "    fraud_gen[:, -1] = fraud_gen[:, -1] > 0 if 1 else 0\n",
    "    return fraud_gen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "fraud_gen = generate_fraud()\n",
    "fraud_gen = reconstruct_fraud(fraud_gen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[t-SNE] Computing 91 nearest neighbors...\n",
      "[t-SNE] Indexed 16000 samples in 0.071s...\n",
      "[t-SNE] Computed neighbors for 16000 samples in 1.031s...\n",
      "[t-SNE] Computed conditional probabilities for sample 1000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 2000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 3000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 4000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 5000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 6000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 7000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 8000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 9000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 10000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 11000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 12000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 13000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 14000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 15000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 16000 / 16000\n",
      "[t-SNE] Mean sigma: 0.002889\n",
      "[t-SNE] KL divergence after 250 iterations with early exaggeration: 69.703949\n",
      "[t-SNE] KL divergence after 1000 iterations: 0.770970\n"
     ]
    }
   ],
   "source": [
    "notfraud = paysim[paysim['isFraud'] == 0][:8000][[col for col in paysim.columns if col != 'isFraud']]\n",
    "dummy = np.vstack((notfraud.values,fraud_gen.numpy()))\n",
    "tsne_em = TSNE(n_components=2, perplexity=30.0, n_iter=1000, verbose=1).fit_transform(dummy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = np.hstack((np.repeat(0, 8000), np.repeat(1, 8000)))\n",
    "visualize_TSNE(tsne_em, colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[t-SNE] Computing 91 nearest neighbors...\n",
      "[t-SNE] Indexed 32213 samples in 0.120s...\n",
      "[t-SNE] Computed neighbors for 32213 samples in 3.020s...\n",
      "[t-SNE] Computed conditional probabilities for sample 1000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 2000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 3000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 4000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 5000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 6000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 7000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 8000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 9000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 10000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 11000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 12000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 13000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 14000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 15000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 16000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 17000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 18000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 19000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 20000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 21000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 22000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 23000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 24000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 25000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 26000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 27000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 28000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 29000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 30000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 31000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 32000 / 32213\n",
      "[t-SNE] Computed conditional probabilities for sample 32213 / 32213\n",
      "[t-SNE] Mean sigma: 0.001245\n",
      "[t-SNE] KL divergence after 250 iterations with early exaggeration: 76.994987\n",
      "[t-SNE] KL divergence after 1000 iterations: 1.190495\n"
     ]
    }
   ],
   "source": [
    "notfraud = paysim[paysim['isFraud'] == 0][:16000][[col for col in paysim.columns if col != 'isFraud']]\n",
    "dummy = np.vstack((notfraud.values, fraud.values[:,1:], fraud_gen.numpy()))\n",
    "tsne_em = TSNE(n_components=2, perplexity=30.0, n_iter=1000, verbose=1).fit_transform(dummy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = np.hstack((np.repeat(0, 16000), np.repeat(1, 8000), np.repeat(2, 8000)))\n",
    "visualize_TSNE(\n",
    "    tsne_em, \n",
    "    colors, \n",
    "    clables = ['red', 'green', 'orange'],\n",
    "    dplabels = ['not Fraud', 'original Fraud', 'generated Fraud'],\n",
    "    title = \"TSNE reduction of 8k not fraud, 8k original fraud and 8k generated fraud transaction datapoints\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Classification using BNN : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyro.nn import PyroSample, PyroModule\n",
    "from pyro.infer.autoguide import AutoDiagonalNormal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "class PaysimDataset(Dataset):\n",
    "    def __init__(self, subset):\n",
    "        self.x = subset[:,1:]\n",
    "        self.y = subset[:,0]\n",
    "        self.n_samples = subset.shape[0]\n",
    "    def __getitem__(self, index):\n",
    "        x,y = self.x[index], self.y[index]\n",
    "        return x,y\n",
    "    def __len__(self):\n",
    "        return self.n_samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_SIZE = 16000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "fraud_gen = generate_fraud(DATA_SIZE//2)\n",
    "fraud_gen = reconstruct_fraud(fraud_gen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "fraud_gen = torch.cat((torch.ones(fraud_gen.shape[0]).reshape(-1, 1), fraud_gen), 1)\n",
    "fraud = torch.cat((fraud_gen, torch.tensor(fraud.values)), 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "nofraud = paysim[paysim['isFraud'] == 0][:DATA_SIZE].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "paysim2 = torch.cat((fraud, torch.tensor(nofraud)), 0)\n",
    "r = torch.randperm(paysim2.shape[0])\n",
    "paysim2 = paysim2[r]\n",
    "paysim2 = paysim2.detach()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[ 1.0000,  0.0000,  0.0000,  ..., -0.2904,  0.0593,  1.0000],\n",
       "        [ 0.0000,  0.0000,  0.0000,  ..., -0.3238, -0.3334,  0.0000],\n",
       "        [ 1.0000,  0.0000,  0.0000,  ..., -0.2392, -0.2295,  1.0000],\n",
       "        ...,\n",
       "        [ 1.0000,  0.0000,  0.0000,  ..., -0.3238, -0.3334,  0.0000],\n",
       "        [ 0.0000,  0.0000,  1.0000,  ...,  0.0407,  0.4165,  0.0000],\n",
       "        [ 1.0000,  0.0000,  0.0000,  ..., -0.2379, -0.2260,  1.0000]],\n",
       "       dtype=torch.float64)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paysim2 = paysim2.to(\"cpu\")\n",
    "paysim2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "device = \"cpu\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "class BayesianNN(PyroModule):\n",
    "    def __init__(self, in_features, hidden_dim, out_features):\n",
    "        super().__init__()\n",
    "        self.fc1 = PyroModule[nn.Linear](in_features, hidden_dim)\n",
    "        self.fc1.weight = PyroSample(dist.Normal(0., 1.).expand([hidden_dim, in_features]).to_event(2))\n",
    "        self.fc1.bias = PyroSample(dist.Normal(0., 10.).expand([hidden_dim]).to_event(1))\n",
    "        self.softplus = PyroModule[nn.Softplus]()\n",
    "        \n",
    "        self.fc2 = PyroModule[nn.Linear](hidden_dim, out_features)\n",
    "        self.fc2.weight = PyroSample(dist.Normal(0., 1.).expand([out_features, hidden_dim]).to_event(2))\n",
    "        self.fc2.bias = PyroSample(dist.Normal(0., 10.).expand([out_features]).to_event(1))\n",
    "        self.sigmoid = PyroModule[nn.Sigmoid]()\n",
    "\n",
    "    def forward(self, x, y=None):\n",
    "        p = self.softplus(self.fc1(x).squeeze(-1))\n",
    "        p = self.sigmoid(self.fc2(p).squeeze(-1))\n",
    "        with pyro.plate(\"data\", x.shape[0]):\n",
    "            obs = pyro.sample(\"obs\", dist.Bernoulli(p), obs=y)\n",
    "        return p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(svi, train_loader, use_cuda=True):\n",
    "    epoch_loss = 0.\n",
    "    for data in train_loader:\n",
    "        x = data[0].to(device)\n",
    "        y = data[1].to(device)\n",
    "        epoch_loss += svi.step(x, y)\n",
    "    normalizer_train = len(train_loader.dataset)\n",
    "    total_epoch_loss_train = epoch_loss / normalizer_train\n",
    "    return total_epoch_loss_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "def evaluate(svi, test_loader, use_cuda=True):\n",
    "    test_loss = 0.\n",
    "    for data in test_loader:\n",
    "        x = data[0].to(device)\n",
    "        y = data[1].to(device)\n",
    "        test_loss += svi.evaluate_loss(x, y)\n",
    "    normalizer_test = len(test_loader.dataset)\n",
    "    total_epoch_loss_test = test_loss / normalizer_test\n",
    "    return total_epoch_loss_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "l = paysim2.shape[0]\n",
    "lengths = int(l*0.8), l - int(l*0.8)\n",
    "paysim_train, paysim_test = random_split(paysim2.float(), lengths)\n",
    "paysim_train_ds = PaysimDataset(paysim_train.dataset)\n",
    "paysim_test_ds = PaysimDataset(paysim_test.dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_loader, test_loader = setup_data_loaders(paysim_train_ds, paysim_test_ds, batch_size=800, use_cuda=USE_CUDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = BayesianNN(12, 6, 1)\n",
    "model.to(device)\n",
    "model.float()\n",
    "guide = AutoDiagonalNormal(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "pyro.clear_param_store()\n",
    "\n",
    "adam_args = {\"lr\": LEARNING_RATE}\n",
    "optimizer = Adam(adam_args)\n",
    "\n",
    "svi = SVI(model, guide, optimizer, loss=Trace_ELBO())\n",
    "\n",
    "cls_train_elbo = []\n",
    "cls_test_elbo = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[epoch 000]  average training loss: 1.1799\n",
      "[epoch 000] average test loss: 1.1120\n",
      "[epoch 001]  average training loss: 1.0761\n",
      "[epoch 002]  average training loss: 1.0062\n",
      "[epoch 003]  average training loss: 0.9423\n",
      "[epoch 004]  average training loss: 0.8653\n",
      "[epoch 005]  average training loss: 0.7991\n",
      "[epoch 005] average test loss: 0.7601\n",
      "[epoch 006]  average training loss: 0.7339\n",
      "[epoch 007]  average training loss: 0.6731\n",
      "[epoch 008]  average training loss: 0.6308\n",
      "[epoch 009]  average training loss: 0.5644\n",
      "[epoch 010]  average training loss: 0.5229\n",
      "[epoch 010] average test loss: 0.4945\n",
      "[epoch 011]  average training loss: 0.4761\n",
      "[epoch 012]  average training loss: 0.4466\n",
      "[epoch 013]  average training loss: 0.4141\n",
      "[epoch 014]  average training loss: 0.3857\n",
      "[epoch 015]  average training loss: 0.3656\n",
      "[epoch 015] average test loss: 0.3541\n",
      "[epoch 016]  average training loss: 0.3506\n",
      "[epoch 017]  average training loss: 0.3351\n",
      "[epoch 018]  average training loss: 0.3210\n",
      "[epoch 019]  average training loss: 0.3117\n",
      "[epoch 020]  average training loss: 0.3015\n",
      "[epoch 020] average test loss: 0.2980\n",
      "[epoch 021]  average training loss: 0.2889\n",
      "[epoch 022]  average training loss: 0.2851\n",
      "[epoch 023]  average training loss: 0.2752\n",
      "[epoch 024]  average training loss: 0.2702\n",
      "[epoch 025]  average training loss: 0.2608\n",
      "[epoch 025] average test loss: 0.2590\n",
      "[epoch 026]  average training loss: 0.2591\n",
      "[epoch 027]  average training loss: 0.2520\n",
      "[epoch 028]  average training loss: 0.2416\n",
      "[epoch 029]  average training loss: 0.2401\n",
      "[epoch 030]  average training loss: 0.2340\n",
      "[epoch 030] average test loss: 0.2319\n",
      "[epoch 031]  average training loss: 0.2324\n",
      "[epoch 032]  average training loss: 0.2234\n",
      "[epoch 033]  average training loss: 0.2179\n",
      "[epoch 034]  average training loss: 0.2126\n",
      "[epoch 035]  average training loss: 0.2138\n",
      "[epoch 035] average test loss: 0.2090\n",
      "[epoch 036]  average training loss: 0.2068\n",
      "[epoch 037]  average training loss: 0.2028\n",
      "[epoch 038]  average training loss: 0.1997\n",
      "[epoch 039]  average training loss: 0.1947\n",
      "[epoch 040]  average training loss: 0.1949\n",
      "[epoch 040] average test loss: 0.1930\n",
      "[epoch 041]  average training loss: 0.1952\n",
      "[epoch 042]  average training loss: 0.1889\n",
      "[epoch 043]  average training loss: 0.1862\n",
      "[epoch 044]  average training loss: 0.1843\n",
      "[epoch 045]  average training loss: 0.1810\n",
      "[epoch 045] average test loss: 0.1850\n",
      "[epoch 046]  average training loss: 0.1819\n",
      "[epoch 047]  average training loss: 0.1803\n",
      "[epoch 048]  average training loss: 0.1792\n",
      "[epoch 049]  average training loss: 0.1728\n",
      "[epoch 050]  average training loss: 0.1772\n",
      "[epoch 050] average test loss: 0.1702\n",
      "[epoch 051]  average training loss: 0.1731\n",
      "[epoch 052]  average training loss: 0.1719\n",
      "[epoch 053]  average training loss: 0.1660\n",
      "[epoch 054]  average training loss: 0.1660\n",
      "[epoch 055]  average training loss: 0.1671\n",
      "[epoch 055] average test loss: 0.1650\n",
      "[epoch 056]  average training loss: 0.1608\n",
      "[epoch 057]  average training loss: 0.1643\n",
      "[epoch 058]  average training loss: 0.1610\n",
      "[epoch 059]  average training loss: 0.1632\n",
      "[epoch 060]  average training loss: 0.1579\n",
      "[epoch 060] average test loss: 0.1569\n",
      "[epoch 061]  average training loss: 0.1573\n",
      "[epoch 062]  average training loss: 0.1600\n",
      "[epoch 063]  average training loss: 0.1576\n",
      "[epoch 064]  average training loss: 0.1553\n",
      "[epoch 065]  average training loss: 0.1544\n",
      "[epoch 065] average test loss: 0.1534\n",
      "[epoch 066]  average training loss: 0.1553\n",
      "[epoch 067]  average training loss: 0.1517\n",
      "[epoch 068]  average training loss: 0.1489\n",
      "[epoch 069]  average training loss: 0.1442\n",
      "[epoch 070]  average training loss: 0.1501\n",
      "[epoch 070] average test loss: 0.1511\n",
      "[epoch 071]  average training loss: 0.1478\n",
      "[epoch 072]  average training loss: 0.1470\n",
      "[epoch 073]  average training loss: 0.1499\n",
      "[epoch 074]  average training loss: 0.1492\n",
      "[epoch 075]  average training loss: 0.1488\n",
      "[epoch 075] average test loss: 0.1496\n",
      "[epoch 076]  average training loss: 0.1499\n",
      "[epoch 077]  average training loss: 0.1471\n",
      "[epoch 078]  average training loss: 0.1447\n",
      "[epoch 079]  average training loss: 0.1458\n",
      "[epoch 080]  average training loss: 0.1482\n",
      "[epoch 080] average test loss: 0.1427\n",
      "[epoch 081]  average training loss: 0.1474\n",
      "[epoch 082]  average training loss: 0.1454\n",
      "[epoch 083]  average training loss: 0.1460\n",
      "[epoch 084]  average training loss: 0.1439\n",
      "[epoch 085]  average training loss: 0.1418\n",
      "[epoch 085] average test loss: 0.1451\n",
      "[epoch 086]  average training loss: 0.1445\n",
      "[epoch 087]  average training loss: 0.1456\n",
      "[epoch 088]  average training loss: 0.1409\n",
      "[epoch 089]  average training loss: 0.1402\n",
      "[epoch 090]  average training loss: 0.1471\n",
      "[epoch 090] average test loss: 0.1438\n",
      "[epoch 091]  average training loss: 0.1408\n",
      "[epoch 092]  average training loss: 0.1390\n",
      "[epoch 093]  average training loss: 0.1445\n",
      "[epoch 094]  average training loss: 0.1385\n",
      "[epoch 095]  average training loss: 0.1429\n",
      "[epoch 095] average test loss: 0.1384\n",
      "[epoch 096]  average training loss: 0.1411\n",
      "[epoch 097]  average training loss: 0.1396\n",
      "[epoch 098]  average training loss: 0.1395\n",
      "[epoch 099]  average training loss: 0.1380\n",
      "[epoch 100]  average training loss: 0.1347\n",
      "[epoch 100] average test loss: 0.1410\n",
      "[epoch 101]  average training loss: 0.1453\n",
      "[epoch 102]  average training loss: 0.1380\n",
      "[epoch 103]  average training loss: 0.1416\n",
      "[epoch 104]  average training loss: 0.1357\n",
      "[epoch 105]  average training loss: 0.1410\n",
      "[epoch 105] average test loss: 0.1365\n",
      "[epoch 106]  average training loss: 0.1426\n",
      "[epoch 107]  average training loss: 0.1402\n",
      "[epoch 108]  average training loss: 0.1359\n",
      "[epoch 109]  average training loss: 0.1439\n",
      "[epoch 110]  average training loss: 0.1365\n",
      "[epoch 110] average test loss: 0.1390\n",
      "[epoch 111]  average training loss: 0.1393\n",
      "[epoch 112]  average training loss: 0.1363\n",
      "[epoch 113]  average training loss: 0.1367\n",
      "[epoch 114]  average training loss: 0.1361\n",
      "[epoch 115]  average training loss: 0.1438\n",
      "[epoch 115] average test loss: 0.1373\n",
      "[epoch 116]  average training loss: 0.1398\n",
      "[epoch 117]  average training loss: 0.1409\n",
      "[epoch 118]  average training loss: 0.1352\n",
      "[epoch 119]  average training loss: 0.1415\n",
      "[epoch 120]  average training loss: 0.1332\n",
      "[epoch 120] average test loss: 0.1402\n",
      "[epoch 121]  average training loss: 0.1320\n",
      "[epoch 122]  average training loss: 0.1317\n",
      "[epoch 123]  average training loss: 0.1389\n",
      "[epoch 124]  average training loss: 0.1352\n",
      "[epoch 125]  average training loss: 0.1332\n",
      "[epoch 125] average test loss: 0.1363\n",
      "[epoch 126]  average training loss: 0.1343\n",
      "[epoch 127]  average training loss: 0.1309\n",
      "[epoch 128]  average training loss: 0.1401\n",
      "[epoch 129]  average training loss: 0.1331\n",
      "[epoch 130]  average training loss: 0.1324\n",
      "[epoch 130] average test loss: 0.1376\n",
      "[epoch 131]  average training loss: 0.1309\n",
      "[epoch 132]  average training loss: 0.1322\n",
      "[epoch 133]  average training loss: 0.1378\n",
      "[epoch 134]  average training loss: 0.1357\n",
      "[epoch 135]  average training loss: 0.1378\n",
      "[epoch 135] average test loss: 0.1403\n",
      "[epoch 136]  average training loss: 0.1370\n",
      "[epoch 137]  average training loss: 0.1352\n",
      "[epoch 138]  average training loss: 0.1338\n",
      "[epoch 139]  average training loss: 0.1325\n",
      "[epoch 140]  average training loss: 0.1374\n",
      "[epoch 140] average test loss: 0.1367\n",
      "[epoch 141]  average training loss: 0.1305\n",
      "[epoch 142]  average training loss: 0.1364\n",
      "[epoch 143]  average training loss: 0.1348\n",
      "[epoch 144]  average training loss: 0.1314\n",
      "[epoch 145]  average training loss: 0.1296\n",
      "[epoch 145] average test loss: 0.1338\n",
      "[epoch 146]  average training loss: 0.1294\n",
      "[epoch 147]  average training loss: 0.1320\n",
      "[epoch 148]  average training loss: 0.1382\n",
      "[epoch 149]  average training loss: 0.1294\n",
      "[epoch 150]  average training loss: 0.1400\n",
      "[epoch 150] average test loss: 0.1374\n",
      "[epoch 151]  average training loss: 0.1317\n",
      "[epoch 152]  average training loss: 0.1332\n",
      "[epoch 153]  average training loss: 0.1373\n",
      "[epoch 154]  average training loss: 0.1339\n",
      "[epoch 155]  average training loss: 0.1334\n",
      "[epoch 155] average test loss: 0.1316\n",
      "[epoch 156]  average training loss: 0.1394\n",
      "[epoch 157]  average training loss: 0.1315\n",
      "[epoch 158]  average training loss: 0.1335\n",
      "[epoch 159]  average training loss: 0.1344\n",
      "[epoch 160]  average training loss: 0.1277\n",
      "[epoch 160] average test loss: 0.1344\n",
      "[epoch 161]  average training loss: 0.1326\n",
      "[epoch 162]  average training loss: 0.1301\n",
      "[epoch 163]  average training loss: 0.1334\n",
      "[epoch 164]  average training loss: 0.1355\n",
      "[epoch 165]  average training loss: 0.1342\n",
      "[epoch 165] average test loss: 0.1339\n",
      "[epoch 166]  average training loss: 0.1278\n",
      "[epoch 167]  average training loss: 0.1280\n",
      "[epoch 168]  average training loss: 0.1327\n",
      "[epoch 169]  average training loss: 0.1316\n",
      "[epoch 170]  average training loss: 0.1319\n",
      "[epoch 170] average test loss: 0.1317\n",
      "[epoch 171]  average training loss: 0.1369\n",
      "[epoch 172]  average training loss: 0.1346\n",
      "[epoch 173]  average training loss: 0.1313\n",
      "[epoch 174]  average training loss: 0.1264\n",
      "[epoch 175]  average training loss: 0.1297\n",
      "[epoch 175] average test loss: 0.1317\n",
      "[epoch 176]  average training loss: 0.1375\n",
      "[epoch 177]  average training loss: 0.1290\n",
      "[epoch 178]  average training loss: 0.1307\n",
      "[epoch 179]  average training loss: 0.1277\n",
      "[epoch 180]  average training loss: 0.1295\n",
      "[epoch 180] average test loss: 0.1266\n",
      "[epoch 181]  average training loss: 0.1315\n",
      "[epoch 182]  average training loss: 0.1300\n",
      "[epoch 183]  average training loss: 0.1294\n",
      "[epoch 184]  average training loss: 0.1295\n",
      "[epoch 185]  average training loss: 0.1309\n",
      "[epoch 185] average test loss: 0.1329\n",
      "[epoch 186]  average training loss: 0.1365\n",
      "[epoch 187]  average training loss: 0.1259\n",
      "[epoch 188]  average training loss: 0.1278\n",
      "[epoch 189]  average training loss: 0.1318\n",
      "[epoch 190]  average training loss: 0.1276\n",
      "[epoch 190] average test loss: 0.1375\n",
      "[epoch 191]  average training loss: 0.1313\n",
      "[epoch 192]  average training loss: 0.1301\n",
      "[epoch 193]  average training loss: 0.1266\n",
      "[epoch 194]  average training loss: 0.1314\n",
      "[epoch 195]  average training loss: 0.1286\n",
      "[epoch 195] average test loss: 0.1295\n",
      "[epoch 196]  average training loss: 0.1284\n",
      "[epoch 197]  average training loss: 0.1290\n",
      "[epoch 198]  average training loss: 0.1280\n",
      "[epoch 199]  average training loss: 0.1293\n"
     ]
    }
   ],
   "source": [
    "for epoch in range(200):\n",
    "    total_epoch_loss_train = train(svi, train_loader, use_cuda=USE_CUDA)\n",
    "    cls_train_elbo.append(-total_epoch_loss_train)\n",
    "    print(\"[epoch %03d]  average training loss: %.4f\" % (epoch, total_epoch_loss_train))\n",
    "\n",
    "    if epoch % TEST_FREQUENCY == 0:\n",
    "        total_epoch_loss_test = evaluate(svi, test_loader, use_cuda=USE_CUDA)\n",
    "        cls_test_elbo.append(-total_epoch_loss_test)\n",
    "        print(\"[epoch %03d] average test loss: %.4f\" % (epoch, total_epoch_loss_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_loss(200, -1*np.array(cls_train_elbo), \"Bayesian MLP training los per epoch\")\n",
    "plot_loss(len(cls_test_elbo), -1*np.array(cls_test_elbo), \"Bayesian MLP training los per epoch\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.save(model, \"./bnn.pt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "pyro.clear_param_store()\n",
    "model = torch.load('./bnn.pt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Results : "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A. Exploration :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "def summary(samples):\n",
    "    site_stats = []\n",
    "    for v in samples:\n",
    "        site_stats.append({\n",
    "            \"mean\": np.around(torch.mean(v, 0).detach().numpy(), 3).item(),\n",
    "            \"std\": torch.std(v, 0).item(),\n",
    "            \"5%\": v.kthvalue(int(len(v) * 0.05), dim=0)[0].item(),\n",
    "            \"25%\": v.kthvalue(int(len(v) * 0.25), dim=0)[0].item(),\n",
    "            \"50%\": v.kthvalue(int(len(v) * 0.50), dim=0)[0].item(),\n",
    "            \"75%\": v.kthvalue(int(len(v) * 0.75), dim=0)[0].item(),\n",
    "            \"95%\": v.kthvalue(int(len(v) * 0.95), dim=0)[0].item(),\n",
    "        })\n",
    "    return site_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_samples(X, num_samples, return_sites):\n",
    "    predictive = Predictive(model, guide=guide, num_samples=num_samples, return_sites = return_sites)\n",
    "    samples = predictive(X.float())\n",
    "    return samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "samples = get_samples(\n",
    "    torch.tensor(paysim.values[90000:90001,1:]),\n",
    "    num_samples = 1000,\n",
    "    return_sites = ['fc1.weight']\n",
    ")\n",
    "weights = samples['fc1.weight'].reshape(1000,6*12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "summ = summary(weights[:, [0,30,50,60]].T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_summary_text(plot, summ):\n",
    "    i = 0\n",
    "    for k,v in summ.items():\n",
    "        plot.text(0.5,-0.2 - i/10, k + \" : %.3f\"%v, size=12, ha=\"center\", transform=plot.transAxes)\n",
    "        i+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_samples(data, summ, x = 2,y = 2, colors = ['orange', 'purple', 'crimson', 'steelblue'], figsize = (15,10), pad = 13.0, title = \"\"):\n",
    "    fig, axs = plt.subplots(x,y, figsize = figsize)\n",
    "    fig.tight_layout(pad=pad)\n",
    "    loc = 0\n",
    "    for i in range(x):\n",
    "        for j in range(y):\n",
    "            axs[i,j].hist(data[:,loc].detach().numpy(), bins = 100, color=colors[loc], density = True)\n",
    "            axs[i,j].axvline(summ[loc]['mean'], color='k', linestyle='dashed', linewidth=1)\n",
    "            plot_summary_text(axs[i,j], summ[loc])\n",
    "            loc+=1\n",
    "    fig.suptitle(title, size = 20)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_samples(weights[:,[0,30,50,60]], summ, title = \"4 weights of the first affine transformation\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "fraud_gen = generate_fraud(2)\n",
    "fraud_gen = reconstruct_fraud(fraud_gen)\n",
    "fraud_gen = fraud_gen.detach()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\MOHAMED HMINI\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "dps =  torch.tensor(torch.tensor(np.vstack((paysim.values[90008:90010], paysim[paysim['isFraud'] == 1].values[1000:1002], np.hstack((np.repeat(1,2).reshape(-1,1),fraud_gen.numpy())), paysim.values[0:2]))))\n",
    "samples = get_samples(\n",
    "    dps[:,1:],\n",
    "    num_samples = 1000,\n",
    "    return_sites = ['obs', '_RETURN']\n",
    ")\n",
    "obs = samples['obs']\n",
    "ps = samples['_RETURN']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "summ = summary(ps.T)\n",
    "cnt = 0\n",
    "for dp in summ:\n",
    "    dp['true class'] = int(dps[cnt, 0].item())\n",
    "    cnt += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bGsM90/t8oePbZ/ON9v/Hz1nqlmUH+dpv6nW5J/C9GRLhW3Hz+V8qU7Owz3XNvJ+mpfpwmjHvdwCOahPJhZrrc/7cWVr7gWZMPU0r7q5J7jVDkZk+K+f9nqiqS6vquKr6S5reKPegGeYhaUKYDEuar6mJdlan596VAGnu87sPTZe//57Htj5M0+X1+em512hbEfx/zPzZdC5wxyQP7Nv3s5h9UqHLgB3bW4LMtD3oSwjaBO7Vm4h/Nvei6X7bu72DaCqDP6I9h1V1Hc052AZ4XV/5e9C0Dl4PfHCRcWzKZcyciNCOn5upxW6n9v+r57H9f2n/P7J/LF6SW2WG+9j2Obf9f9++596dm7tA9y7fI8meM2xne5ovca7pKTuI45u3qtoIfISmBevN/V+WJNmm5xyd2/7/B72JSpp7vr6bmVtSL2v/X8hkS5+iGRJwSKbf0/ZFNEn3l3onyhqwqXG2t+iW3I5LXUyPjJm8n2YYxXPS3PrtFnLLezb/B01L8pok0yabaq/ZfRe4/029LucC90rPfdWThKbXw0wTdQ3SJq+ZdlK3Y2iGoLyeJsF8z2zlN+GFSX7bvb/vc/4/Zn3Wzd5Lcwuw/9f3vtgBeG1PmSm/pGmxn3Z8ae5X/Oj2XPcuvw3Nl2Ew4M8ASaPNbtKS5utYmvvnPgY4K8knacZ83ZemC3WAV1XVZbNvolFV5yZ5Fc3EV6cn+ShNN7fH0bRAfJvmvq+93tau/3qSqXtDrqJpRTmWZqxovy/TTGD0+SRfpbmlzreq6gSaMcIvB96WZD+aWx/dqz2W42haQxbq88A/t18OfIub7zN8LfCsvsm1XkXTEvW8JA+l6X4+dZ/hbWlu0bTgWWrn6cvAwUlOoJks7AaaCZ6+SpO4XZvk6zQV9rRxPrQt+6V5bP89NK/L04EfJvk0zZjfXWjuRftemlvCzGbqPq8vaROk02kqtvvT3JO1v5L7IOCTSTbQtEpfSNNT4SCa+8b2JtCDOL6Feh5Na9Pf0Nwj+Qs0PSj2oLmmD6S5Zc7FST5C02XzjCQn0oyZfCzNNXQGTXLS62ya7qsHJ7mO5tZHBXywdwbfXlV1ZZJn0tyD9ytJPt4+b2+aWzhdTM/kSUvg0zTvt0PapPRUmtf0oHbdX27uDqrq50meTPPZcHKSz9F8rmxH89lyV5rzT1VdluRJwCeBbyT5Ms3wjZvauB5GM654qwWEsKnX5a00XZFPT/IJmi+/9qFJhE+guX/6UvkyTZfg49pxstcA51VV/5dv76QZTrIrcEJVzTix4Tz8F8313Ps5/yCa99t8Jl18M00L/0HAt9qYb9cew040M3p/fapwe32fSnMf4w/TzGdxI808Ez+leY+f25Y5j+Z1fSzN37Lj+1vrJY25GoH7O/nw4WN5PGgSixfRdCv8NU0SdSnNOLI/WsT2DqHp3nYtTbL0IZqE6RRmvr/r/u2+r6BpyTkReCSz36t2a5p7u57fxnqLe0/SVDyPb4/hKprK2bPZxH0qZ4hr37b8WpqK85fa83NFG+NDZ3neHWgStR/SJOq/oplMZ9q5ZBP3X51l+7Odl51o7kF6CU0l8bfbpUnYPkkz7vtqmhbE04FXANsu8PV9Cs1Mspe3r/FPaFrE95pHjHdty05NIHVmG8MK+u63SnNv1n+gqXRf3J7L82lmEn5833bnfXxzXIfnsoD7DPdci39Lk5Bd3V4b36P5kmennnK3A95A82XAtTQz7r6DJhmbLZ6H0iQ4l9MkcAXsO9f57XneJ2nee1MJ27uAXWYo+z4WeG/gTVwbd6WZGO0X7ev7vzRfHM24rdmOfR7HuCfNF18XtMd4SXtNrp7l9fs3mvfjtTTv4e/T9ND40/mej/m8Lj1xn0Hz2fPz9rV4ADffO3jfvu3NdZ/hfWc5nmnXI0334X+geQ9cP9N2e8qe3q7/k4W89/vO0d2Bl7bn8tr2tXgbsN0C3ltbAa+h+bLrGpr3z9eBQ2bZ9z1pvlS4rOfcH0rzN+wVNJ8NP+Xmvz3foPls2GKhx+nDh4/l/UjVYud+kCTBb2faPpkZJuOSpOWova3RhTRfWOxRM982bq7nv4/mfs971MJvxyRJQ+GYYUmSJPV7Ds28Bu9caCIsScuFY4YlSZJEO5nbc2jGCR9Gcx/fd3YalCQtIZNhSZIkQTMD+xtpxt1vAJ5ffbf5kqRx4phhSZIkSdLEccywJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSJEmSJo7JsCRJkiRp4pgMS5IkSZImjsmwJEmSJGnimAxLkiRJkiaOybAkSZIkaeKYDEuSpLGV5MVJzkzy3STHJNmq65gkSaPBZFiSJI2lJLsCLwBWVdX9gVsDB3cblSRpVKzoOoC57LDDDrVy5cquw5AkbaYNGzb8vKp27DoOTaQVwG2TXA/cDrhwtoLWOyRpPMy33jHSyfDKlStZv35912EM1YYNG9h77727DkOSBirJeV3HoMlTVRckeTPwU+Aa4MSqOnG28pNY71gI6yiSlov51jvsJj1iVq1a1XUIkiSNhSTbAwcBewC7AFsneWpfmdVJ1idZv3Hjxi7CXDaso0gaNybDkiRpXD0G+ElVbayq64HjgIf3FqiqdVW1qqpW7bijPfklaZKYDEuSpHH1U+D3k9wuSYBHA2d1HJMkaUQsSTKc5L1JLk3y3Z5ld0zyxSQ/bP/ffin2vdytWbOm6xAkSRoLVXUqcCxwGvAdmnrPuk6DWsaso0gaN6mqwW80eSRwJfCB9lYGJPkn4BdV9aYkrwK2r6pXzrWdVatWlRNZSNLyl2RDVTngUCPNeockjYf51juWpGW4qr4K/KJv8UHA+9uf3w/86VLse7nbZZddug5BkiRpGusoksbNMG+tdOequgigqi5KstMQ932zo3Pzz08efKv45rrooou6DkGSJA3IETnitz+vqeXdzdg6iqRxM3ITaHmLA0mSJEnSUhtmMnxJkp0B2v8vnanQpN/iYK+99uo6BEmSpGmso0gaN8NMho8HntH+/Azg00Pc97KxYcOGrkOQJEmaxjqKpHGzVLdWOgb4H+A+Sc5P8izgTcBjk/wQeGz7e7eOzs2PEbF69equQ5AkSZrGOoqkcbNUs0kfUlU7V9Vtqmq3qjqqqi6rqkdX1b3a//tnmxbw7ne/u+sQJEmSprGOImncjNwEWpIkSZIkLTWTYUmSJEnSxDEZHjEXXHBB1yFIkiRNYx1F0rgxGR4xztQoSZJGkXUUSePGZHjEHHjggV2HIEmSNI11FEnjxmRYkiRJkjRxTIYlSZIkSRPHZHjEHHnkkV2HIEmSNI11FEnjxmR4xKxevbrrECRJkqaxjiJp3JgMj5gkXYcgSZI0jXUUSeNmRdcBjIyj+z7gn1zdxCFJkiRJWnImw5IkSUN2RI64xe9rak1HkUjS5LKb9IjZf//9uw5BkiRpGusoksaNLcMj5oQTTug6BEmStAT6W4M3dxvDbk22jiJp3NgyPGIOOOCArkOQJEmaxjqKpHFjMjxiPvOZz3QdgiRJ0jTWUSSNG5NhSZIkSdLEMRmWJEmSJE0ck+ERU+X9jSVJ0uixjiJp3JgMj5h169Z1HYIkSdI01lEkjRuT4RFz+OGHdx2CJEnSNNZRJI0b7zM8m6Nz889PtluQJEmSJI2TobcMJ3lxkjOTfDfJMUm2GnYMkiRJkqTJNtRkOMmuwAuAVVV1f+DWwMHDjGHUHX/88V2HIEmSNI11FEnjposxwyuA2yZZAdwOuLCDGEbW3nvv3XUIkiSNjSR3SHJsku8nOSvJw7qOabmyjiJp3Ax1zHBVXZDkzcBPgWuAE6vqxCXdae/Y32Vg11139dYFkiQNztuBz1fVk5JsQfNFvBbBOoqkcTPsbtLbAwcBewC7AFsneWpfmdVJ1idZv3HjxmGGJ0mSxkiS7YBHAkcBVNV1VfWrbqOSJI2KYXeTfgzwk6raWFXXA8cBD+8tUFXrqmpVVa3acccdhxyeJEkaI3cHNgL/keT0JO9JsnXXQUmSRsOwk+GfAr+f5HZJAjwaOGvIMYy0ww47rOsQJEkaFyuAvYB3VdVDgKuAV/UWsEfa/FlHkTRuhpoMV9WpwLHAacB32v2vG2YMo27dOk+HJEkDcj5wflv/gKYOsldvAXukzZ91FEnjZuizSVfVmqr6naq6f1U9rap+M+wYRpkzNUqSNBhVdTHwsyT3aRc9GvhehyEta9ZRJI2boc4mrU077bTTug5BkqRx8nzgw+1M0ucAf91xPMuWdRRJ48ZkWJIkja2qOgNYNaz9HZEjNvt5a2rNoMKRJM1h6N2kNbedd9656xAkSZKmsY4iadyYDI+YCy+8sOsQJEmSprGOImncmAyPmLVr13YdgiRJ0jTWUSSNG5PhEXPEEYsbayRJkrSUrKNIGjcmw5IkSZKkiWMyLEmSJEmaOCbDI2b9+vVdhyBJkjSNdRRJ48ZkWJIkSZI0cUyGR8yqVau6DkGSJGka6yiSxo3JsCRJkiRp4pgMS5IkSZImjsnwiFmzZk3XIUiSJE1jHUXSuDEZHjFr167tOgRJkqRprKNIGjcrug5At7TLLrtw4YUXdh2GJEnqyBE54rc/r6nRaY21jiJp3NgyPGIuuuiirkOQJEmaxjqKpHFjMixJkiRJmjgmwyNmr7326joESZKkaayjSBo3JsMjZsOGDV2HIEmSNI11FEnjxgm0Rszq1atZt25d12FIkqQR0DuZVteso0gaN7YMj5h3v/vdXYcgSZI0jXUUSeNm6MlwkjskOTbJ95OcleRhw45BkiRJkjTZuugm/Xbg81X1pCRbALfrIAZJkiRJ0gQbajKcZDvgkcChAFV1HXDdMGMYdRdccEHXIUiSJE1jHUXSuBl2N+m7AxuB/0hyepL3JNl6yDEM1tG5+TEAztQoSZJGkXUUSeNm2MnwCmAv4F1V9RDgKuBVvQWSrE6yPsn6jRs3Djm87h144IFdhyBJkjSNdRRJ42bYyfD5wPlVdWr7+7E0yfFvVdW6qlpVVat23HHHIYc3iwG3/kqSJEmSujXUZLiqLgZ+luQ+7aJHA98bZgySJEmSJHUxm/TzgQ+3M0mfA/x1BzGMrCOPPLLrECRJkqaxjiJp3Aw9Ga6qM4BVw97vcrF69equQ5AkSZrGOoqkcTPsMcPahMRxyZIkaa/51ygAACAASURBVPRYR5E0bkyGJUmSJEkTx2RYkiRJkjRxuphAS3PYf//9uw5BkqSxkuTWwHrggqoamz+0R+SIW/y+ptYs6f6so0gaN7YMj5gTTjih6xAkSRo3LwTO6jqI5c46iqRxYzI8Yg444ICuQ5AkaWwk2Q34E+A9Xcey3FlHkTRu7Ca9UEcv7UyKn/nMZ5Z0+5IkTZi3Aa8Atu06kOXOOoqkcWPLsCRJGktJ9gcuraoNc5RZnWR9kvUbN24cYnSSpK6ZDEuSpHG1D3BgknOBjwCPSvKh3gJVta6qVlXVqh133LGLGCVJHTEZHjFV1XUIkiSNhap6dVXtVlUrgYOBk6rqqR2HtWxZR5E0bkyGB+no3PKxCOvWrRtwUJIkSZvPOoqkcWMyPGIOP/zwrkOQJGnsVNUp43SP4S5YR5E0bkyGJUmSJEkTx2RYkiRJkjRxTIZHzPHHH991CJIkSdNYR5E0bkyGR8zee+/ddQiSJEnTWEeRNG5WdB3AxOidXfrJs9+aYNddd/XWBZIkaeRYR5E0bmwZliRJkiRNHJNhSZIkSdLEMRkeMYcddljXIUiSJE1jHUXSuDEZHjHr1q3rOgRJkqRprKNIGjcmwyPGmRolSdIoso4iadx0Mpt0klsD64ELqmr/LmIYVaeddtrNM0/PMeu0JEnSsByRIziN0zgiRwCwptZ0HJEkbb6uWoZfCJzV0b4lSZIkSRNu6C3DSXYD/gR4A/CSYe9/1O18h64jkCRJy91UCy4MrhV3G7YZyHYkaVR00TL8NuAVwE0d7HvkXfiOriOQJEma7mW8rOsQJGmghpoMJ9kfuLSqNsxRZnWS9UnWb9y4cYjRjYa1n+g6AkmSpOlO5uSuQ5CkgRp2N+l9gAOTPAHYCtguyYeq6qlTBapqHbAOYNWqVRM3g9QRx8HaJ3YdhSRJGhe9Xabhlt2mF9Kd+it8hf3Yb7DBSVKHhtoyXFWvrqrdqmolcDBwUm8iLEmSJEnSMHRyayVJkiQNVn8LsCRpbp0lw1V1CnBKV/sfiqn7BS+g3PrXL1EskiRJm2E1q7sOQZIGypZhSZKkCWILsiQ1uri1kuaw6u+6jkCSJGm6dc38ppI0NkyGJUmSJEkTx27SkiRJmsbu1JLGnS3DI2bNn3cdgSRJ0nR/yB92HYIkDZTJ8IhZ+8SuI5AkSZpuP/brOgRJGiiT4RGzy//pOgJJkqTp3sybuw5BkgbKZHjEXPSrriOQJEma7kqu7DoESRook2FJkiRJ0sQxGR4xe63sOgJJkqTpdmbnrkOQpIHy1kojZsMbuo5AkiRNok3dSulwDh9SJJI0HLYMj5jV7+k6AkmSpOmO5/iuQ5CkgbJluAtHZ9ZV7z4Z1j17iLFIkiTNw2mcxoEcCNyyFXlNrZnX8xfzHElaSrYMS5KksZTkrklOTnJWkjOTvLDrmCRJo8OWYUmSNK5uAF5aVacl2RbYkOSLVfW9rgOTJHXPluERc8G/dR2BJEnjoaouqqrT2p+vAM4Cdu02quXrJbyk6xAkaaBsGR4xG34Cu2w/j4L9446fXEsSjyRJ4yDJSuAhwKndRrJ8XcRFbMd2XYchSQNjMjxiDvxnqA93HYUkSeMjyTbAJ4AXVdWv+9atBlYD7L777h1Et3wcwzGsZe205Zs7mdZCnidJg2QyPMps/ZUkabMkuQ1NIvzhqjquf31VrQPWAaxatco/tJI0QUyGJUnSWEoS4CjgrKp6S9fxaHbedklSF0yGR8yRz5pj5Rz3J77FOluQJUkC2Ad4GvCdJGe0y15TVZ/tMKZla3/27zoESRook+ERs/pRXUcgSdJ4qKqvA3N8k6yFWMWqrkOQpIEaajKc5K7AB4C7ADcB66rq7cOMYdTlKU6gJUmSRs/a9t9cnBhL0nIy7JbhG4CXVtVpSbYFNiT5YlV9b8hxSJIkSZIm2FCT4aq6CLio/fmKJGcBuwImw4Pk+GFJkiRJmtOtutpxkpXAQ4BTu4phFO3/kK4jkCRJmu7e3LvrECRpoDqZQCvJNjT3/HtRVf26b91qYDXA7rvv3kF03TrhZQPeoPcqliRJA/Bknrzg5/SPIe6C45glzWboLcNJbkOTCH+4qo7rX19V66pqVVWt2nHHHYcdXucOeHPXEUiSJE13NEd3HYIkDdRQk+EkAY4Czqqqtwxz38vFZ07vOgJJkqTpfsAPug5BkgZq2C3D+wBPAx6V5Iz28YQhxyBJkiRJmnDDnk3660A2WVCSJEmSpCXUyQRaml19uOsIJEmSplvL2qHsZ64Jr3rXzTUR1ihM3CVp9HV2ayXNbN1JXUcgSZI03XrWdx2CJA2UyfCIOfyoriOQJEma7jN8pusQJGmg7CatxiDuR+w9jSVJ0pB4/2BJm8uWYUmSJEnSxLFleMQc/9Il3kFv660tt5IkaZ4O4ZCuQxiI+U7CJWn82TI8Yvbeo+sIJEmSptuZnbsOQZIGypbhEbPr80bw9kqDHgvs2GJJkpadt/CWod1eqVdXt0labi3Iyy1eaRTYMixJkiRJmji2DE+y/hba+a4bBbYuS5IkSdoMJsMj5rD9uo5AkiRpur3Yq+sQ5tRVd+pBm+s47P4sDZbJ8IhZ9+yuI5hgzrQtSdKsDuTArkOQpIEyGR4xe/8tbHhD11FIkiTd0pEcyeEc3nUYA9XfCjtby+ugy0kaDSbDI+a0c7uOYIFGfWyxJEkaiIu4qOsQJGmgTIY1WpwYS5Ikjbj53saoq9sdzdVC7S2YpJt5a6URs/Mduo5AkiRpum3YpusQJGmgbBkeMRe+o+sI5mG+XaMHMSHVfLfh5FeSJC2pl/GyrkOQpIEyGR4xaz8Ba5/YdRSSJEm3dDInsx/eA3KxBnHLpMV2cR7F204Noru2Xb61uUyGR8wRx41pMjxXa/JiWpqXA1urJUlj5Ct8xWRY0lgxGZYkSZI6tJiW21Fs7V2sUWzh9XZak8FkWONn0C3Ic81wvdjW39metxSzaS+nFmpnE5ckSdKQmAyPmPWv7zoCSZKk6VazuusQltyktdAuNvbZbtW02HJzme/zBj0GWZNh6Mlwkj8G3g7cGnhPVb1p2DFImzSIMc7D3N58W1CXupV4tmOxhVdSR6x3SJJmM9T7DCe5NfAO4PHA/YBDktxvmDGMulV/13UEkiSNB+sdg7WOdV2HIEkDNeyW4d8FflRV5wAk+QhwEPC9IcchDd5Sz3Y939blQbfCDmIc71yxD/r+0aM47ngh18YoxjsKMUmLY71DmkDz7e7cZXfqpezWPdf2RnHCry5jGmrLMLAr8LOe389vl0mSJA2a9Q5J0qxSNbxv/JP8BfC4qnp2+/vTgN+tquf3lFkNv52h4T7A2Zu52x2An2/mNobBOAdvucS6XOKE5ROrcQ7e5sZ6t6racVDBSPNhvWNZ8bwtnuducTxvi7cczt286h3D7iZ9PnDXnt93Ay7sLVBV62Bwg1KSrK+qVYPa3lIxzsFbLrEulzhh+cRqnIO3nGKVeljvWCY8b4vnuVscz9vijdO5G3Y36f8F7pVkjyRbAAcDxw85BkmSNBmsd0iSZjXUluGquiHJ84Av0Nzi4L1VdeYwY5AkSZPBeockaS5Dv89wVX0W+OwQd7lc7gNgnIO3XGJdLnHC8onVOAdvOcUq/Zb1jmXD87Z4nrvF8bwt3ticu6FOoCVJkiRJ0igY9phhSZIkSZI6NxbJcJI/TnJ2kh8ledUM67dM8tF2/alJVg4/yt/GsqlYH5nktCQ3JHlSFzG2cWwqzpck+V6Sbyf5cpK7dRFnG8umYv2bJN9JckaSrye53yjG2VPuSUkqSSez9M3jfB6aZGN7Ps9I8uwu4mxj2eQ5TfKX7bV6ZpKjhx1jG8Omzulbe87nD5L8akTj3D3JyUlOb9/7T+giTqlry6neMWqWU/1ilCyXOsQoWi51hVE0EfWCqlrWD5oJMX4M3B3YAvgWcL++Ms8F/r39+WDgoyMc60rggcAHgCeNcJz7Abdrf37OiJ/T7Xp+PhD4/CjG2ZbbFvgq8A1g1SjGCRwK/FsXr/ciYr0XcDqwffv7TqMYZ1/559NM8jNycdKMEXpO+/P9gHO7vg58+Bj2YznVO0btsZzqF6P0WC51iFF8LJe6wig+JqVeMA4tw78L/Kiqzqmq64CPAAf1lTkIeH/787HAo5NkiDFO2WSsVXVuVX0buKmD+KbMJ86Tq+rq9tdv0Ny7sQvzifXXPb9uDXQxUH4+1ynA3wP/BFw7zOB6zDfOUTCfWA8D3lFVvwSoqkuHHCMs/JweAhwzlMhuaT5xFrBd+/Pt6btfqzQhllO9Y9Qsp/rFKFkudYhRtFzqCqNoIuoF45AM7wr8rOf389tlM5apqhuAy4E7DSW6WeJozRTrKFhonM8CPrekEc1uXrEm+T9JfkzzR+IFQ4qt1ybjTPIQ4K5V9ZlhBtZnvq/9E9vuMMcmuetwQptmPrHeG7h3kv9K8o0kfzy06G427/dT2x1wD+CkIcTVbz5xrgWemuR8mtl5nz+c0KSRspzqHaNmOdUvRslyqUOMouVSVxhFE1EvGIdkeKZvWvtb/uZTZhhGJY5NmXecSZ4KrAL+35JGNLt5xVpV76iqewCvBP5uyaOabs44k9wKeCvw0qFFNLP5nM8TgJVV9UDgS9zc+jFs84l1BU33p31pWlzfk+QOSxxXv4W87w8Gjq2qG5cwntnMJ85DgPdV1W7AE4APtteuNEmWU71j1Cyn+sUoWS51iFG0XOoKo2gi6gXLKthZnA/0tkztxvQm+t+WSbKCphn/F0OJbpY4WjPFOgrmFWeSxwB/CxxYVb8ZUmz9FnpOPwL86ZJGNLNNxbktcH/glCTnAr8PHN/BBBibPJ9VdVnP6/1uYO8hxdZvvu/9T1fV9VX1E+Bsmj94w7SQa/RguukiDfOL81nAxwCq6n+ArYAdhhKdNDqWU71j1Cyn+sUoWS51iFG0XOoKo2gi6gXjkAz/L3CvJHsk2YKmMnl8X5njgWe0Pz8JOKnakd5DNp9YR8Em42y74xxJ84eqy7EV84m19wPtT4AfDjG+KXPGWVWXV9UOVbWyqlbSjJM6sKrWj1KcAEl27vn1QOCsIcbXaz7vp0/RTMZCkh1oukKdM9Qo5/m+T3IfYHvgf4Yc35T5xPlT4NEASe5L80dv41CjlLq3nOodo2Y51S9GyXKpQ4yi5VJXGEUTUS9Y9slwOxbnecAXaCrlH6uqM5O8LsmBbbGjgDsl+RHwEmDWKem7jjXJQ9t+938BHJnkzFGMk6bb0jbAx9PcDqaTpH6esT6vnSr/DJrX/xmzbK7rODs3zzhf0J7Pb9GMvz50hGP9AnBZku8BJwMvr6rLRjBOaLoafaSrCvM843wpcFj72h8DHGoFX5NmOdU7Rs1yql+MkuVShxhFy6WuMIompV6QZRavJEmSJEmbbdm3DEuSJEmStFAmw5IkSZKkiWMyLEmSJEmaOCbDkiRJkqSJYzIsSZIkSZo4JsOSJEmSpIljMixJkiRJmjgmw5IkSZKkiWMyLI2wJHdM8skkVyU5L8mT5yi7X5KTk1ye5NwZ1q9s11+d5PtJHjPLdk5KUklWDPBQJEnSiBtkvaOn3B+29YrX9yy7f5IvJPl5khrwYUjzZjIsjbZ3ANcBdwaeArwryZ6zlL0KeC/w8lnWHwOcDtwJ+Fvg2CQ79hZI8hTAJFiSpMk0yHoHSW4DvB04tW/V9cDHgGdtbsDS5jAZ1kRIcm6Slyf5dvtt51FJ7pzkc0muSPKlJNv3lP/9JP+d5FdJvpVk3551f53krPZ55yQ5vGfdvknOT/LSJJcmuSjJXy8y5q2BJwKvraorq+rrwPHA02YqX1XfrKoPAufMsK17A3sBa6rqmqr6BPCddvtTZW4PrAFesZh4JUlSY9LrHT1eCpwIfL/vuWdX1VHAmYuJVRoUk2FNkicCjwXuDRwAfA54DbADzXvhBQBJdgX+E3g9cEfgZcAnelpRLwX2B7YD/hp4a5K9evZzF+D2wK4033i+o/cPXq8kr0rymVnivTdwY1X9oGfZt4DZvqGdy57AOVV1xRzb+gfgXcDFi9i+JEm6pUmud5DkbsAzgdct5vnSMJgMa5L8a1VdUlUXAF8DTq2q06vqN8AngYe05Z4KfLaqPltVN1XVF4H1wBMAquo/q+rH1fgKzTeej+jZz/XA66rq+qr6LHAlcJ+ZAqqqN1XV/rPEuw1wed+yy4FtF3rgm9pWklXAPsC/LmLbkiRpukmudwD8C20r8yKfLy05k2FNkkt6fr5mht+3aX++G/AXbVelXyX5FfAHwM4ASR6f5BtJftGuewLNt7xTLquqG3p+v7pn2wtxJc23wL22A66Yoeyit5XkVsA7gRf2xS1JkhZvYusdSQ4Atq2qjy4iDmlonChHmu5nwAer6rD+FUm2BD4BPB34dFVdn+RTQJYgjh8AK5Lcq6p+2C57EIsbX3MmcPck2/Z0lX4QcDTNH7pVwEeTANy6XX9+kr+oqq8t+ggkSdKmjGO949HAqiRTQ69uD9yY5AFVddAAYpUGwpZhaboPAQckeVySWyfZqp2gYjdgC2BLYCNwQ5LHA3+0FEFU1VXAccDrkmydZB/gIOCDM5VPcqskWwG3aX7NVkm2aLf1A+AMYE27/M+AB9L8gb0c2AV4cPt4QrvJvZk++6MkSRqssat3AK+lGYM8Vbc4Hng3zZhn0tiqPT7a5265FMclzcVkWOpTVT+j+fB/Dc0fn5/R3DbgVm2r6gtobgfwS+DJNB/wi5LkNUk+N0eR5wK3pZk84xjgOVV1ZvvcRyTpHYfzSJpuV58Fdm9/PrFn/cE0LcC/BN4EPKmqNrZjkC6eerTHDHBJVV232GOTJEmbNo71jqq6oq9ucQ1wVVX9on3u3dplU63O1wBnL/a4pMVKlfe5liRJkiRNFluGJUmSJEkTx2RYkiRJkjRxTIYlSZIkSRPHZFiSJEmSNHFMhiVJkiRJE8dkWJIkSZI0cUyGpc2UZG2SD3UdhyRJGn/WO6TBMRmW5jCMPzhJnpzkvCRXJflUkjvOUXZdkrOT3JTk0L5190/yhSQ/TzLtBuJJPpTkoiS/TvKDJM9egsORJEmLtJzqHX3lTkpSSVa0v++U5JgkFya5PMl/Jfm9JTgcabOYDEsdSrIncCTwNODOwNXAO+d4yreA5wKnzbDueuBjwLNmee4bgZVVtR1wIPD6JHsvMnRJkrTMDLjeMbXNpwAr+hZvA/wvsDdwR+D9wH8m2WbRwUtLwGRYApK8MskFSa5ovwF9dJI/Bl4D/FWSK5N8qy27R5KvtGW/COywGbt+CnBCVX21qq4EXgv8eZJtZypcVe+oqi8D186w7uyqOgo4c5bnnllVv5n6tX3cYzNilyRJizAO9Y42ttsDa4BX9D3vnKp6S1VdVFU3VtU6YAvgPpsRuzRwJsOaeEnuAzwPeGhVbQs8Dji3qj4P/APw0arapqoe1D7laGADzR+jvweesYnt/yrJH8yyek+ab10BqKofA9cB996MQ5orlncmuRr4PnAR8Nml2I8kSZrZmNU7/gF4F3DxJmJ6ME0y/KNF7kdaEv1dGqRJdCOwJXC/JBur6tzZCibZHXgo8Ji2lfWrSU6Ya+NVdYc5Vm8DXN637HJgxm9oN1dVPTfJ84GHAfsCv5n7GZIkacDGot6RZBWwD/BCYLc5ym0HfBA4oqr69y11ypZhTbyq+hHwImAtcGmSjyTZZZbiuwC/rKqrepadtxm7vxLYrm/ZdsAVm7HNObXdlb5O84frOUu1H0mSNN041DuS3IpmrPELq+qGOcrdFjgB+EZVvXGBsUpLzmRYAqrq6Kr6A+BuNGNp/3FqVV/Ri4Dtk2zds2z3zdj1mcBUNyiS3J3m2+IfbMY252sFjhmWJGnoxqDesR2wCvhokotpJssCOD/JI9ptbwl8CrgAOHwzYpaWjMmwJl6S+yR5VPuhfS1wDU0XJoBLgJXtN6BU1XnAeuCIJFu0Y3IO2Izdfxg4IMkj2j90rwOOq6oZv6Ft97kVEOA2Sbaaii2NrWjG5NCu27L9eackByfZJsmtkzwOOAQ4aTNilyRJCzQm9Y7LaVqtH9w+ntA+ZW/g1CS3AY5tj+3pVXXTZsQsLRmTYan5RvRNwM9pJoDYiWY2R4CPt/9flmTqtgJPBn4P+AXNDIofmGvj7YyQj5hpXVWdCfwNzR+nS2nG7Dy357mfS/KanqecSPOH5eHAuvbnR7br7tb+PjWb9DXA2VO7oukSfT7wS+DNwIuq6tNzxS5JkgZu2dc7qnHx1APY2Ja/pKqua8vvD/wR8Ks2plnjkrqSqv7eGJIkSZIkjTdbhiVJkiRJE8dkWJIkSZI0cUyGJUmSJEkTx2RYkiRJkjRxTIYlSZIkSRPHZFiSJEmSNHFMhiUgySlJru25D97ZPeselOTMJD9P8uKe5bdJcmqSu27mvh+d5PtJrk5ycpK7zVF2ZVvm6vY5j+lb/+IkFye5PMl7k2zZLt+959imHpXkpZsTuyRJWrhxqHckuX+SL7RxTrtXa5I7JvlkkquSnJfkyZsTt7QUTIalmz2vqrZpH/fpWf5G4GXAg4C/S3KXdvlLgE9U1c8Wu8MkOwDHAa8F7gisBz46x1OOAU4H7gT8LXBskh3bbT0OeBXwaGAlcHfgCICq+mnPsW0DPAC4CfjEYmOXJEmbZVnXO4DrgY8Bz5rlue8ArgPuDDwFeFeSPRcbu7QUTIalTdsDOKmqLgB+COyeZHfgicBbN3Pbfw6cWVUfr6prgbXAg5L8Tn/BJPcG9gLWVNU1VfUJ4DttHADPAI6qqjOr6pfA3wOHzrLfpwNfrapzNzN+SZI0WMui3lFVZ1fVUcCZMzx367bca6vqyqr6OnA88LTNjF8aKJNh6WZvbLv6/FeSfXuWfxf4oyS70bS4/hj4F+AVVXX9pjaa5NtzdA3aE/jW1C9VdVW7/Zm+Od0TOKeqruhZ9q2esrfYVvvznZPcaYZtPR14/6ZilyRJS2a51zvmcm/gxqr6wSKeKw3Niq4DkEbEK4Hv0XTnORg4IcmDq+rHNF2V3gXcBXgxsA9wBXBOkk8DdwD+rao+PtOGq+qBc+x3G2Bj37LLgW1nKXv5DGV3nWX91M/bApdNLUzyCJouS8fOEZckSVo641DvmMtsz51pP1JnTIYloKpO7fn1/UkOAZ4A/GtVndf+TJLbAf8NPA74V5pxNv8JfDfJl6vqFwvc9ZXAdn3LtqP5o7fQsv3rp37u39YzaMYcXbnAWCVJ0gCMSb1jUPuROmM3aWlmBWSG5f8XeE9VXUIzCdX6qrocOB+45yL2cybNBBnAb8fY3IMZxt+0y+6epPdb1Qf1lL3FttqfL6mq3lbh2wJ/gV2kJUkaJcux3jGXHwArktxrEc+VhsZkWBMvyR2SPC7JVklWJHkK8EjgC33l7gfsS9N1CeAnwKOS3Bm4F/DTRez+k8D9kzwxyVY0f/S+XVXf7y/Yjrs5A1jTxvpnwAO5eUboDwDPSnK/JNsDfwe8r28zfwb8Cjh5EbFKkqTNNC71jjS2ArZof99q6paO7Vjk44DXJdk6yT7AQcAHFxGztGRMhiW4DfB6mjE0PweeD/xpVZ3dV+4dwAur6sb291cDL6D5lvMfqurimTbe3ivwKTOtq6qNNLMtvgH4JfB7NGOHpp7770n+vecpBwOr2rJvAp7UboOq+jzwTzSJ7nntY03fLp8BfKCqpt0PUJIkDcVY1DuAuwHXcHNr7zVA7zE8F7gtcCnNLZqeU1W2DGukxDqxJEmSJGnS2DIsSZIkSZo4JsOSJEmSpIljMixJkiRJmjgmw5IkSZKkiWMyLEmSJEmaOCbDkiRJkqSJYzKsiZNkyyRHJTkvyRVJTv//7N15nCV1ee/xz1dAUAZEZEAYRAIqIkQQxiXRCYhGVDY1uTfinosO6nWLS9REIuBO1Ei8LoxLEAE1iSiL+4aIcWFQQUaQAAEZQBgUBgYUEZ77x6nWQ9Pd0326+9Q5fT7v1+u87FO/X1U9VQLneap+v6okT+lq3zFJJVnX9Tmiq/11Sa5PckGS3buWPzbJ52cZW5K8K8mvms8xSTJF/2c1x3FLks8n2XI6x9j0eWGSS5rj+3KS7WYTuyRJurtRyDuathOTXJPkpiQXJ3nhuHX/d5ILm3PwsyRPm03s0lywGNYo2hC4EtgHuA9wBPDvSXYc12+LqlrUfN4CkGRb4DBgJ+DDdF5AT5INgfcAr5plbMuBpwF7AA8HDgQOn6hjkt2A44DnAtsAtwIfnM4xJtkHeDtwCLAl8D/Ap2YZuyRJurtRyDsA3gHsWFWbAwcDb02yd7PuEuBE4NXA5sDrgJOTbD3L+KVZsRjWyKmqW6rqyKq6vKrurKoz6BSDe09j9R2AH1fVTcDX6fw4QefH6LSqunyW4T0feE9Vra6qq+j80L1gkr7PBk6vqrOqah2dH9dnJNlsGsd4EPAfVbWqqn4HvAX4iyQ7zzJ+SZLUZRTyDoAmp7it6VvNZyyv2B64saq+VB1fAG7papdaYTGskZdkG+AhwKpxTVckWZ3k35Js1Sy7BPjTJFsATwRWJXkA8Ezg3dPY1+OS3DhFl92A87q+n9csW2/fqroU+F1zLOP3O/4Y03zo+g6wO5Ikad4s5LwjyQeT3ApcBFwDfLFpWglcmOTgJBs0Q6RvA85f3zFI88liWCMtyUbAScAnquqiZvH1wCOBB9K5artZ04eq+hXwNuCbwAHAa4FjgdcDT0/y7SSnJtl+ov1V1dlVtcUUIS0C1nZ9XwssmmT+zvi+Y/03m8YxfhH430kenuRewD/RuYJ77ylikyRJs7DQ846qemnzfRlwCp2Cl6q6AzgBOLlZdjJweFXdMkVs0ryzGNbISnIP4JN0rmq+bGx5Va2rqpVV9fuqurZpe1KSzZv2T1XVXlX1FDp3Um8Dfkznqj/n6AAAIABJREFUCu1BwH8wjau1k1hHZy7NmM2BdVVV0+g71v/maRzjN4A3A58FrgAub9Zb3WPckiRpCqOQdzTx3lFVZ9MZGv0SgCRPBI4B9gXuSWf+9EeT7Nlj3NKcsBjWSGqueH6MzgMg/qqqbp+i+9gPwl2ukjZ3VN8OvAZ4MHBlM6fnHDoPoejFKjoPsRizB3cfRjVh3yQ7ARsDFzffpzzGqvpAVT24qramUxRvCFzQY9ySJGkSo5B3TGBD/jgneE/grKbov7OqzgF+QGfot9Qai2GNqg8BuwIHVdVvuhuSPDrJLknukeR+wL8CZ1bV+KFBbwKOr6qrgV8AuzTzgB4PXNZjXCcAr06ypHnV0WuA4yfpexJwUJJlSTYFjgZOqaqxK7RTHeMmSXZvXqmwA7ACOLaqbugxbkmSNLkFnXck2TrJM5MsauYE7w8cSmd4N3QK9mVjd4KTPILOUGrnDKtVFsMaOUkeSOe1AXsCv8wf3+n37KbLTsCX6Qz7uYDOcKRDx21jF+BJwPsBquoaOq87WAW8AnjjJPtelmTdFOEdB5wO/LTZ9xeaZWPrr0uyrNnnKuDFdH6crqMzR+el0zzGTejM11kH/BD4Hp2nQkqSpDk0CnkHnbvZL6Ez3eoGOsO2X1VVpzbrfhs4EvjPJDfTGZH29qr66hSxSfMuE08JkCRJkiRp4fLOsCRJkiRp5FgMS5IkSZJGjsWwJEmSJGnkWAxLkiRJkkaOxbAkSZIkaeRYDEuSJEmSRo7FsCRJkiRp5FgMayQlOTPJb7tefP/zce3PSnJFkluSfD7Jll1t70tyQ5LvJVnStfzZSY6dZVwbJ/l4kpuS/DLJq9fT/++afmub9TYe1/7KJP/THMeFSR7SLN83yZ1dx78uyfNnE7skSZrYKOQdSf48yQ+T3Jzk/CSPm+4xSm2xGNYoe1lVLWo+u4wtTLIbcBzwXGAb4Fbgg03bo4C9gfsDZwNvbJbfB3gt8E+zjOlI4MHAA4HHA3+f5MkTdUyyP/AG4AnAjsBOwFFd7S8EDgMOABYBBwLXd23i6q7jX1RVn5hl7JIkaXILNu9oCtvTgH8GtgCOAU5Pct/1HaPUJoth6e6eDZxeVWdV1TrgCOAZSTYD/gQ4u6puA75B54cA4G3AP1fV2lnu+3nAW6rqhqq6EPgI8IJJ+j4f+FhVraqqG4C3jPVNcg/gzcDfVdXPquPSqvr1LOOTJElza+jzDuDPgWur6j+q6o6qOhFYAzxjGscotcZiWKPsHUmuT/LdJPt2Ld8NOG/sS1VdCvwOeAiwCliW5F50royuSrIU2KWqTl7fDpshQudP0nZfYLvufTd/7zbJ5naboO82Se4HbN98dk9yZTNU+qimSB6zdZJrm7Z/SbLp+uKXJEk9W8h5R5rPXXYB7D6NY5RaYzGsUfV6OldXlwAr6Azl2blpWwSMv9K6Ftisqi4APgt8H9gBeBdwLPCKJK9IclaSk5JsMdFOq+rkqnr4JDEt6trXXfY7Rf/xfWn6b9/8/STgT+kMfTqUzrBpgIuAPYFtgf3oDMF67yT7kSRJs7PQ847/ArZLcmiSjZrnkOwM3Ht9xzjJvqS+sBjWSKqqH1TVzVV1WzNX9rvAU5vmdcDm41bZHLi5WfdfqmqPqvob4G+A79D5d2k5nau2F9KZUzNT67r2dbf9TtJ/fF+a/r9p/j6mqm6sqsvpzNV5anMMv2yGT99ZVf8D/D3w1z3ELEmS1mOh5x1V9SvgEODVwLXAk4GvA6snWXd9+5L6wmJY6ij+OLxnFbDHWEOSnYCNgYu7V0iyDXA4cDSdYUDnV9XtwDnAZFdhJw+gM//mmu59N3+vmmSVVRP0vbb5Qfo5neFHNd3dc/fhTZIkaX4stLyDqvp2VT2yqrak86CsXYAfzuQYpX6zGNbISbJFkv2TbJJkwyTPBv4C+ErT5STgoCTLmnm0RwOnVNX4q5fvBd5cVbcC/wM8MskiYF/gsh7DOwF4U5L7Jnko8CLg+Cn6HpbkYc28nzeN9W1i+gydp0JulmT7ZltnNOdg3yQ7pOMBwDuBU3uMWZIkTWIU8o7mOB/RDJHeHHg3sLqqZnqMUl9ZDGsUbQS8lc5TDq8HXg48rap+DlBVq4AX0/kP93V05rO8tHsDSR4PbFFVn2vW+SHwBeBKOvNz3znRjpt3Ak52xRU6T4C+FLgC+DadJ0V+uVl3h3TeTbhDs88v03l1wbea/lc06495GZ1hSVcD3wNOBj7etO3VLLuFzjyfC4BXTBGXJEnqzajkHX/fHN+VdJ5J8vSxhukco9SGVE13FKUkSZIkSQuDd4YlSZIkSSPHYliSJEmSNHIshiVJkiRJI8diWJIkSZI0ciyGJUmSJEkjx2JYkiRJkjRyLIY1kpr35nV/7kjy/qZtxyQ1rv2IrnVfl+T6JBck2b1r+WOTfH6WcSXJu5L8qvkckyST9N02yWlJrm7i3XFc+zFJrkxyU5IrkvzjuPZKckvXMX50NrFLkqSJjUjesSTJqUl+nWR1khd3tW2V5LvNPm5M8r0kj51N7NJc2LDtAKQ2VNWisb+TbApcC/zHuG5bVNXvuxck2RY4DNgJeB6dl9wfmGRD4D3AM2cZ2nLgacAeQAFfAy4DPjxB3zuBLwPvAP5rgvaPAUdV1S1JlgBfTXJhVZ3S1WePqrpkljFLkqQpjEjecSJwHvDXwMOAbyX5eVV9C1gH/B/gv5v9HAKcnmTr8ccs9ZN3hqXOf7SvA74zjb47AD+uqpuAr9P5cQJ4FXBaVV0+y1ieD7ynqlZX1VV0fuheMFHHqrq2qj4InDNJ+8+r6pauRXcCD5plfJIkaXYWXN6RZBGwL/C2qrq9qs4D/pNOAUxV/bbJS+4EAtwB3BfYcpbxS7NiMSx1fghOqKoat/yKZpjPvyXZqll2CfCnSbYAngisSvIAOldm372+HSV5XJIbp+iyG52rqmPOa5b1JMkbkqwDVgObAieP63JWkl8mOWX8cCdJkjQvFmLekXH/O/b37nfplJwP/BY4DfhoVV3Xw76kOWMxrJGWZAdgH+ATXYuvBx4JPBDYG9gMOAmgqn4FvA34JnAA8FrgWOD1wNOTfLuZL7P9RPurqrOraospQloErO36vhZYNNn8nfWpqnc28e8FfHLctvcBdgQeClwNnNEMu5IkSfNgoeYdVXUz8F3giCSbJNkL+Cvg3uP6PRzYHHgWcPZM9iHNh9z9opQ0OpK8CfjLqtpnij73B64B7tMMU+puOwB4DvB/+ePV1IOBA6tqxvN4kqxt4vlh831v4Myq2myKdTYEbgf+ZKrhUkneAGxdVa+eoG0D4CbgMVX105nGLUmS1m8h5x1JHgh8AHg0nXnHPwQeVlVPmGQ7FwLPbIZUS63wzrBG3fO469XZiYxdMbrLVdIk9wLeDrwGeDBwZfOjdQ7w8B7jWUXnIRZj9miWzYUNgZ2naC/GHaMkSZpTCzbvqKorqurAqlpcVY8G7kenIJ7MRvxxDrTUCothjawkfw4sYdzTHJM8OskuSe6R5H7Av9K5Srp23CbeBBxfVVcDvwB2SbIN8Hg6V0R7cQLw6ub1BNvR+cE7fopj2ATYuPm6cfOdJvbDk9y3eW3Co+hcRf5G075bkj2TbNA89OI9wFXAhT3GLUmSprCQ846mbdckmyW5Z5LnAE8C3tu0PaaZv3zPJPdK8npgG+AHPcYtzQmLYY2y5wOnNPNcuu1E59UBNwMXALcBh3Z3SLILnf/Ivx+gqq6h87qDVcArgDdOtMMky5oHWk3mOOB04KfNvr/QLBtbf12SZV39f0PndQUAFzXfxzwduLQ5jhObWN/ftG0DfIbO0OjL6MwdPrCqbp8iNkmS1LuFnnfsTyenuAF4MfDkqlrTtG1MZwj1r+hcfH8qcEBT2Eutcc6wJEmSJGnkeGdYkiRJkjRyLIYlSZIkSSPHYliSJEmSNHIshiVJkiRJI8diWJIkSZI0ciyGJUmSJEkjx2JYkiRJkjRyLIY1kpLsmuSbSdYmuSTJ07vadkxSzYvmxz5HdLW/Lsn1SS5IsnvX8scm+fws40qSdyX5VfM5Jkkm6fv4JD9NcmPT93NJlnS1H5PkyiQ3JbkiyT+OW7+S3NJ1jB+dTeySJGliCyHvGLfevzUxP6hr2YlJrmnyjouTvHDcOvdO8sHmWNYmOWs2sUtzYcO2A5D6LcmGwKnAh4G/BPYBTk/yiKq6uKvrFlX1+3HrbgscBuwEPA94J3Bgs833AM+cZXjLgacBewAFfA24rIl1vJ8B+1fV1Uk2Bt4CfAg4uGn/GHBUVd3SFMlfTXJhVZ3StY09quqSWcYsSZImsYDyjrGYHgfsPEHTO4DDquq2JA8Fzkzy46o6t2lfQaf22BX4NbDnLGOXZs07wxpFDwW2A/6lqu6oqm8C3wWeO411dwB+XFU3AV+n8+ME8CrgtKq6fJaxPR94T1Wtrqqr6PzQvWCijlV1bVVd3bXoDuBBXe0/r6pbutrv7G6XJEl9sSDyDvhDYf9+4GXj26pqVVXdNva1+ezcrLcLnYv1y6tqTXMezh2/DanfLIY1iiYa/hNg93HLrkiyuhkKtFWz7BLgT5NsATwRWJXkAXSuzL57vTtOHpfkxim67Aac1/X9vGbZZNvbodneb4DXAseMa39DknXAamBT4ORxmzgryS+TnJJkx/XFL0mSZmzB5B3A3wFnVdX5k+zvg0luBS4CrgG+2DQ9GrgCOKoZJv3TJH+1vvil+WYxrFF0EXAd8LokGyV5Ep0hS/du2q8HHgk8ENgb2Aw4CaCqfgW8DfgmcACdAvRY4PXA05N8O8mpSbafaMdVdXZVbTFFbIuAtV3f1wKLJpu/U1W/aLa3FfCm5ti629/ZxL8X8Mlx294H2JHOFeurgTOaK76SJGnuLIi8oynCDwf+abKNVdVLm/iXAacAY3eKt6dT/K+lc5f8ZcAnkuw6RWzSvEtVtR2D1HdJHk5nmM/uwEpgDXBbVR02Qd/707m6eZ9mmFJ32wHAc4D/yx+vph4MHFhVM57Hk2Qt8JdV9cPm+97AmVW12TTWvX8Tw5Lxc46a9jcAW1fVqydo2wC4CXhMVf10pnFLkqTJLYS8I8lngVOr6oTmewEPnuzZI0k+DPysqv41yd8B7wLuPZajJDkd+HpVHTvTuKW54p1hjaSqOr+q9qmq+1XV/nTm4Pxwsu7N/97lKmmSewFvB14DPBi4svnROgd4eI+hraLzEIsxezTLpmNDYGtg8ynaJ3rgxZhi4qFckiRpFhZI3vEE4J+b6VW/bJZ9L8mzJunfnXdMOKxaapvFsEZSkocn2aR5zP9rgW2B45u2RyfZJck9ktwP+Fc6V0nXjtvMm4Djm4dY/QLYJck2wOPpPImxFycAr06yJMl2dH7wjp/kGJ7RFedi4L10HrLx62bZ4Unu23lrQh5F5yryN5p1d0uyZ5INkiyi88CMq4ALe4xbkiRNYiHkHcBD6BTLe/LHJ0EfBHwuydZJnplkUZNb7A8cSmd4N8BZTcxvTLJhkscC+wJf6TFuaU5YDGtUPZfOEKTr6Fzp/MuuJyDuBHwZuBm4gM58l0O7V26eivgkOkOeqKpr6LzuYBXwCuCNE+00ybLmgVaTOQ44Hfhps+8vNMvG1l+XZFnzdUlXnD+l87Top3dt6+nApU37iU2s72/atgE+Q2do9GV05g4fWFW3TxGbJEnqzdDnHVV1XVX9cuzTdLm+qn5D5272S+g8sPMGOg/3elVVndqseztwCPBUOvOGPwI8r6ru8qwTqd+cMyxJkiRJGjneGZYkSZIkjRyLYUmSJEnSyLEYliRJkiSNHIthSZIkSdLIsRiWJEmSJI0ci2FplpKcmeSFbcchSZIWPvMOae5YDGsoJbk8yRPbjmMQJXlWkiuS3JLk80m2nKLvnknOTXJr8797drUlybuS/Kr5HJMk01lXkqSFxLxjcuYdGmYWw1qQkmzYdgxtSLIbcBzwXGAb4Fbgg5P0vSdwKnAicF/gE8CpzXKA5cDTgD2AhwMHAodPc11JkkaGeYd5h4aTxbCGTpJPAjsApydZl+Tvk+yYpJIcluQXwDeT7Jtk9bh1/3BlN8k9krwhyaXNFch/X8/VzEOS/CTJTc06T56gz85Jvtls7/okJyXZoqv99UmuSnJzkp8neUKz/FFJVjbbvjbJe3s8Pc8GTq+qs6pqHXAE8Iwkm03Qd19gQ+B9VXVbVf0rEGC/pv35wHuqanVVXQW8B3jBNNeVJGlBMO+YknmHhprFsIZOVT0X+AVwUFUtqqpjupr3AXYF9p/Gpl5B5wrkPsB2wA3ABybqmORRwAnA64AtgL8ALp+oK/COZnu7Ag8Ajmy2sQvwMuCRVbVZE+PYNo4Fjq2qzYGdgX+fLOgkNyZ53CTNuwHnjX2pqkuB3wEPmaTv+VVVXcvOb5bfbVvN37tNc11JkhYE8w7zDi1cIzmkQwvakVV1C0DXNJPJHA68rKpWN/2PBH6R5LlV9ftxfQ8DPl5VX2u+XzXRBqvqEuCS5uua5krrm5vvdwAbAw9LsqaqLu9a9XbgQUm2qqrrge9PFnRVbTFZG7AIWDtu2Vpgoiu06+s7vn0tsKiZvzOT/UiStFCZd5h3aIh5Z1gLzZUz6PtA4HPNFc8bgQvp/HBsM0HfBwCXrm+DSbZO8ulmSNJNdOa2bAV/+MF6FZ0rttc1/bZrVj2MzlXUi5Kck+TAGRxHt3XA5uOWbQ7c3EPf8e2bA+uaq7Iz2Y8kSQuVeYd5h4aYxbCGVU1j+S3Avce+JNkAWNzVfiXwlKraouuzSTNPZbwr6QwjWp93NDE8vBl69Bw6Q5g6wVWdXFWPo/ODWMC7muX/XVWHAls3y/4zyabT2N94q+g8eAKAJDvRuSp88SR9H567Xsp+eLP8bttq/l41zXUlSVpIzDsmZt6hoWYxrGF1LbDTevpcDGyS5IAkGwFvovMf6DEfBt6W5IEASRYnOWSSbX0M+NskT2gegLEkyUMn6LcZnauXNyZZQmeuD832d0myX5KNgd8Cv6FzRZgkz0myuKruBG5sVrljPcc3kZOAg5Isa37UjgZOqaqJrpye2ezjFUk2TvKyZvk3m/89AXh1c6zbAa8Bjp/mupIkLSTmHRMz79BQsxjWsHoH8KZmqNFrJ+pQVWuBlwIfpTPX5hag+ymPxwKnAV9NcjOd+TKPnmRbPwT+FvgXOnNUvk3nKut4RwF7NX2+AJzS1bYx8E7geuCXdK7G/kPT9mRgVZJ1TVzPrKrfThRLOk+yXDZJnKuAF9P5cbqOzo/kS7vW/VKSf2j6/o7OgzyeR+eH8P8AT2uWQ+dVCacDPwUuaI7nuGmuK0nSQmLeMXGc5h0aarnrQ9kkSZIkSVr4vDMsSZIkSRo5FsOSJEmSpJFjMSxJkiRJGjkWw5IkSZKkkWMxLEmSJEkaORbDkiRJkqSRYzEsSZIkSRo5FsOSJEmSpJFjMSxJkiRJGjl9LYaT7JLkJ12fm5K8qp8xSJIkSZKUqmpnx8kGwFXAo6vqilaCkCRJkiSNpDaHST8BuNRCWJIkSZLUbxu2uO9nAp+aqsNWW21VO+64Y3+ikSTNm3PPPff6qlrcdhzSVMw7JGlhmG7e0UoxnOSewMHAGydoWw4sB9hhhx1YuXJln6OTpPU799xz2XvvvdsOY2gkcRSQBt6OO+5o3iFpXpk/9Md08462hkk/BfhRVV07vqGqVlTV0qpaunixNxEkDaalS5e2HYIkSRoy5g+Dpa1i+FDWM0RakiRJkqT50vdiOMm9gb8ETun3viVJkiRJghbmDFfVrcD9+r1fSZpLb37zm9sOQZIkDRnzh8HS5quVJGloHXnkkW2HIEmShoz5w2CxGJakHmy33XZthyBJkoaM+cNgafM9w5I0tK655pq2Q5jQpYuX3eX7zmu+01IkkiRpvEHNH3q1/1u+cJfvXznigJYi6Y13hiVJkiRJI8diWJJ6sNdee7UdgiRJGjLmD4PFYliSenDuuee2HYIkSRoy5g+DxTnDktSD5cuXs2LFirbDkCRJQ6Qf+cNczOMd9rnA0+WdYUnqwUc+8pG2Q5AkSUPG/GGwWAxLkiRJkkaOxbAkSZIkaeRYDEtSD6666qq2Q5AkSUPG/GGwWAxLUg98GqQkSZop84fBYjEsST04+OCD2w5BkiQNGfOHweKrlSRJkiRJs9b9SqZheB2TxbAkjYhLFy+7y/ed13ynpUgkSZLa1/dh0km2SPKfSS5KcmGSP+t3DJI0W8cdd1zbIUiSpCFj/jBY2rgzfCzw5ar66yT3BO7dQgySNCvLly9vOwRJkjRkzB8GS1+L4SSbA38BvACgqn4H/K6fMUjSXEhCVbUdhiRJGiKDnD90z/edqm26c4HHb28Q5xD3e5j0TsAa4N+S/DjJR5Ns2t0hyfIkK5OsXLNmTZ/DkyRJkiSNgn4XwxsCewEfqqpHALcAb+juUFUrqmppVS1dvHhxn8OTpNFx6eJlf/hIkiSNmn4Xw6uB1VX1g+b7f9IpjiVpqBx44IFthyBJkoaM+cNg6WsxXFW/BK5Mskuz6AnAz/oZgyTNhdNPP73tECRNU5INmulZZ7Qdi6TRZv4wWPr+aiXg5cBJSc4H9gTe3kIMkjQrBx10UNshSJq+VwIXth2EJJk/DJa+v1qpqn4CLO33fiVpLp1xhjeYpGGQZHvgAOBtwKtbDkfSiDN/GCxt3BmWJEnql/cBfw/c2XYgkqTBYjEsSZIWpCQHAtdV1blT9PGVjpI0oiyGJakHVdV2CJLW77HAwUkuBz4N7JfkxO4OvtJRUj+ZPwwWi2FJ6sGKFSvaDkHSelTVG6tq+6raEXgm8M2qek7LYUkaYeYPg8ViWJJ6cPjhh7cdgiRJGjLmD4Ol70+TliTNrUsXL5vTbey85juz3p40aKrqTODMlsOQpHmx/1u+0HYIQ8k7w5IkSZKkkWMxLEk9OO2009oOQZIkDRnzh8HiMGlJ6sHee+/ddgiSJGnIDFr+0Mvw6oU0JNs7w5LUgyVLlrQdgiRJGjLmD4PFYliSJEmSNHIshiVJkiRJI8diWJJ68KIXvajtECRJ0pAxfxgsFsOS1IMVK1a0HYIkSRoy5g+Dpe/FcJLLk/w0yU+SrOz3/iVpLgza0yAlSdLgM38YLG29WunxVXV9S/uWpFn70Y9+1HYI03Lp4mVthyBJkhrDkj+MCt8zLEmSJEkjYCG9I3gutDFnuICvJjk3yfIW9i9Js7btttu2HYIkSRoy5g+DpY07w4+tqquTbA18LclFVXXWWGNTIC8H2GGHHVoIT5LW7+qrr247BEmSNGTMHwZL3+8MV9XVzf9eB3wOeNS49hVVtbSqli5evLjf4UnStBx55JFthyBJkoaM+cNg6eud4SSbAveoqpubv58EHN3PGCRpLhx11FH+oEmSpBkZ5fxhsvnKXznigD5H8kf9Hia9DfC5JGP7PrmqvtznGCRJkiRJI66vxXBVXQbs0c99SpIkSZI0XhtPk5akobdy5cq2Q5AkSUPG/GGw+J5hSZIkSRpw4+fctjnXdqHwzrAk9WDp0qVthyBJkoaM+cNgsRiWJEmSJI0ci2FJkiRJ0sixGJakHrz5zW9uOwRJkjRkzB8Gi8WwJPXgyCOPbDsESZI0ZMwfBovFsCT1YLvttms7BEnrkWSTJD9Mcl6SVUmOajsmSaPN/GGw+GolSerBNddc03YIktbvNmC/qlqXZCPg7CRfqqrvtx2YpNFk/jBYLIYlSdKCVFUFrGu+btR8qr2IJEmDxGHSktSDvfbaq+0QJE1Dkg2S/AS4DvhaVf2g7ZgkjS7zh8FiMSxJPTj33HPbDkHSNFTVHVW1J7A98Kgku3e3J1meZGWSlWvWrGknSEkjw/xhsFgMS1IPli9f3tf9Xbp42V0+kmamqm4EzgSePG75iqpaWlVLFy9e3EpskkZHv/MHTc1iWJJ68JGPfKTtECStR5LFSbZo/r4X8ETgonajkjTKzB8GSysP0EqyAbASuKqqDmwjBkmStOBtC3yiyTvuAfx7VZ3RckySpAHR1tOkXwlcCGze0v4laag5VFpav6o6H3hE23FIkgZT34dJJ9keOAD4aL/3LUlz5aqrrmo7BEmSNGTMHwZLG3OG3wf8PXBnC/uWpDnh0yAlSdJMmT8Mlr4Ww0kOBK6rqkn/KfAVB5KGwcEHH9x2CJIkaciYPwyWft8ZfixwcJLLgU8D+yU5sbuDrziQJEmSJM23vj5Aq6reCLwRIMm+wGur6jn9jEGSJEmSRsX+b/lC2yEMLN8zLEk9OO6449oOQZIkDRnzh8HS1quVqKozgTPb2r8kzcby5cvbDkGSJA0Z84fB4p1hSepBkrZDkCRJQ8b8YbC0dmdYknR3ly5e9oe/d17znRYjkSRJWti8MyxJkiRJGjkWw5LUgwMPPLDtECRJ0pAxfxgsDpOWpB6cfvrpbYcgSZKGzET5w/hXH33liAP6Fc7I886wJPXgoIMOajsESZI0ZMwfBovFsCT14Iwzzmg7BEmSNGTMHwaLxbAkSZIkaeQ4Z1iSJEmSBtD4+cSaW94ZlqQeVFXbIUiSpCFj/jBYLIYlqQcrVqxoOwRJkjRkzB8Gi8WwJPXg8MMPbzsESZI0ZMwfBotzhiVJkiRpmrrn8fpO4OHmnWFJkiRJ0sixGJakHpx22mlthyBJkoaM+cNg6WsxnGSTJD9Mcl6SVUmO6uf+JWmu7L333m2HIEmShoz5w2Dp95zh24D9qmpdko2As5N8qaq+3+c4JGlWlixZwiVbPe4uy3Ze852WopEkSYNsbJ7xV//pQJ509BlTzjX23cL909diuDov1lrXfN2o+fiyLUmSJElSX/V9znCSDZL8BLgO+FpV/WBc+/IkK5OsXLNmTb/DkyRJC0SSByT5VpILm+lZr2w7JknS4Oh7MVxVd1TVnsD2wKOS7D6ufUXZWgffAAAgAElEQVRVLa2qpYsXL+53eJI0LS960YvaDkHS+v0eeE1V7Qo8Bvi/SR7WckySRtiSvfdvOwR1ae09w1V1Y5IzgScDF7QVhyT1YsWKFVz6uWVthyFpClV1DXBN8/fNSS4ElgA/azUwSSNhorm/ux3y8nndvmam30+TXpxki+bvewFPBC7qZwySNBfW9zTISxcv+8NHUvuS7Ag8AvjB1D0laf5870PO1hgk/R4mvS3wrSTnA+fQmTN8Rp9jkKRZ+9GPftR2CJKmKcki4LPAq6rqpnFtPqtEUt/cfM2lbYegLv1+mvT5dK7KSpIkzbvmVY6fBU6qqlPGt1fVCmAFwNKlS33DhTTCuocdT/Xqo7nel9rT2pxhSRpm2267Ldze27rdQ6d9N7E0f5IE+BhwYVW9t+14JGnjzbZsOwR16fvTpCVpIbj66qvbDkHS+j0WeC6wX5KfNJ+nth2UpNG1z+tOaDsEdfHOsCT14Mgjj+S545ZN9rAsH6IltaOqzgbSdhySNOaSb57Eg/Z7dtthqOGdYUnqwVFHHdV2CJIkachcduan2g5BXSyGJUmSJEkjx2HSkjQD/Rzy7PBqSZKk+eOdYUnqwee32LPtECRJ0pB5zIvf13YI6uKdYUlqkXd/JUkafL4XeGHyzrAk9eBpN/6k7RAkSdKQ+f6HX9V2COpiMSxJkiRJGjkWw5IkSZKkkeOcYUnqwcvv9YC2Q5AkSRMYP7/3K0cc0Nq+x9tp30P7FImmw2JYksYZ/1Crndd85259XrnpA/sVjiRJWiAetN+z2w5BXRwmLUk9+PNf/7DtECRJ0pD59j8/r+0Q1KWvxXCSByT5VpILk6xK8sp+7l+S5sp1d/6u7RAkSdKQue3mX7cdgrr0e5j074HXVNWPkmwGnJvka1X1sz7HIUmSJGmItDkXWAtTX+8MV9U1VfWj5u+bgQuBJf2MQZLmwm4bbNp2CJIkachstu3ObYegLq09QCvJjsAjgB+0FYMkTcf4B2oBnHrfR7QQiSRJGmZ/9pJj2w5BXVp5gFaSRcBngVdV1U3j2pYnWZlk5Zo1a9oIT5LW6x9v/u+2Q5AkaWjt/5Yv/OEzSlad+v62Q1CXvhfDSTaiUwifVFWnjG+vqhVVtbSqli5evLjf4UnStHzmtmvbDkGSJA2Zq879StshqEu/nyYd4GPAhVX13n7uW5IkSZKkMf2+M/xY4LnAfkl+0nye2ucYJEmSJEkjrq8P0Kqqs4H0c5+SNB++e99Hth2CJEkLzny/Pql7+1Nte77mMv/Faz8xL9sdZm2+MquVB2hJ0rC74Pfr2g5BkiQNmZuuvqTtENTFYliSenD4zRe2HYIkSRoyPzn5LW2HoC6tvWdYkmZi/Lt+d17znZYikSRJ0kJgMSxJkiRpzk13fu5c76ufRu09yQuNxbCkkdF9d3m2d5bfuuhBsw1nYHkXXgtFko8DBwLXVdXubccjSQ87+GVth6AuzhmWpB48c5P7tx2CpPU7Hnhy20FI0pjtl/qfpEFiMSxp6F26eNkfPv3yoOvP7tu+JPWmqs4Cft12HJI05qv/dGDbIaiLw6QlSZIkzSvn1moQeWdYkiSNrCTLk6xMsnLNmjVthyNJ6iPvDEsaSpMNie51qPRM13v8RvftaT+SBktVrQBWACxdurRaDkfSArfVQx7Zdgjq4p1hSerBR+6zW9shSJKkIbPXc97cdgjq4p1hSX033buw8/lKn9k+bOtFa1dZEEsDLsmngH2BrZKsBt5cVR9rNypp+Iyf7zvf7wyerunOQx6k+co/OvEoC+IBYjEsST341u03tB2CpPWoqkPbjkGSul1/8Tlth6AuDpOWJEmSJI2cvhbDST6e5LokF/Rzv5IkSZIkdev3MOnjgf8HnNDn/UrSnLpkq8e1HYIkSTPWPX92qrm//ZxnO9W+5jOONuYSP+noM/q+T02ur3eGq+os4Nf93Kek4XXp4mV/+AyaT//2l22HIEmShszqlV9uOwR1cc6wJPXgTesuaTsESZI0ZH522v9rOwR1GbinSSdZDiwH2GGHHVqORpIkSYOo19f9THeYsKZnUF+7JE3HwN0ZrqoVVbW0qpYuXry47XAkSZIkSQvQwBXDkjQMjtts17ZDkCRJQ2bPZx3Rdgjq0u9XK30K+B6wS5LVSQ7r5/4laa7svuGitkOQJElDZvPtHtR2COrS1znDVXVoP/cnSfPlsTec4+uVJEkLShuvGho1Z737+b5eaYA4TFqSJEmSNHIG7mnSkuZW9zt6d17znQmXj9fdT5IkSVqIvDMsST34m423aTsESZI0ZJbsvX/bIaiLd4alITT+ru583sn1DvLE3rbZg9sOQZLUkunOrZ2Ld+5O973I/Xx/8lTH77zjqe12yMvbDkFdvDMsST045IYftx2CJEkaMt/70CvbDkFdLIYlqQer7ril7RAkSdKQufmaS9sOQV0cJi21YLKHWg27qYZUS5IkSYPEYliSerD1Pe7ZdgiSNKl+zh/tp+nOVe31mCfbRq/zYAfl/wfn8Q6OjTfbsu0Q1MViWAvCMN9pnYu7qd6R7b//2vJRbYcgSZKGzD6vO6HtENTFOcOS1INjb7mi7RAkSdKQueSbJ7UdgrpYDEtSD97/myvbDkGSJA2Zy878VNshqIvDpKXGZEOtp3qn70J9B6/DriVJU5lsDup058VONYd1rufWDso7ced6X3OxPecSa9R5Z1iSJEmSNHK8MzxiennQ1HTvfs51v17N913NYb5rOtexD/O5mK3Pb7Fn2yFIkqQh85gXv6/tENSl78VwkicDxwIbAB+tqnf2OwZJkjQa+p13jB92Otnreeb61T8T7Xu25jveQTeIQ4inG9Mgxi4Nor4Ok06yAfAB4CnAw4BDkzysnzFI0lx42o0/aTsESeth3iFp0Hz/w69qOwR16fed4UcBl1TVZQBJPg0cAvxsvnY41cOPeuk3F/ta33qTrT+f79IdlOGuczHUer7j6Oc2JEmz0ve8Q5I0PPr9AK0lQPf7SFY3yyRJkuaaeYckaVKpqv7tLPlfwP5V9cLm+3OBR1XVy7v6LAeWN193AX7etwAH31bA9W0HMcA8P1Pz/EzOczO1uTg/D6yqxXMRjDRdI5h3+N+ymfOc9cbzNnOes5mbzTmbVt7R72HSq4EHdH3fHri6u0NVrQBW9DOoYZFkZVUtbTuOQeX5mZrnZ3Kem6l5fjTERirv8N/VmfOc9cbzNnOes5nrxznr9zDpc4AHJ/mTJPcEngmc1ucYJEnSaDDvkCRNqq93hqvq90leBnyFzisOPl5Vq/oZgyRJGg3mHZKkqfT9PcNV9UXgi/3e7wKxIIZxzSPPz9Q8P5Pz3EzN86OhNWJ5h/+uzpznrDeet5nznM3cvJ+zvj5AS5IkSZKkQdDvOcOSJEmSJLXOYngAJXlykp8nuSTJGyZof3WSnyU5P8k3kjywjTjbsL5z09Xvr5NUkpF6at90zk+S/93887Mqycn9jrFN0/h3a4ck30ry4+bfr6e2EWcbknw8yXVJLpikPUn+tTl35yfZq98xSuowT5g584eZM6eYOfOMmWs9/6gqPwP0ofOAj0uBnYB7AucBDxvX5/HAvZu/XwJ8pu24B+XcNP02A84Cvg8sbTvuQTo/wIOBHwP3bb5v3XbcA3Z+VgAvaf5+GHB523H38fz8BbAXcMEk7U8FvgQEeAzwg7Zj9uNnFD/mCfNzzpp+I5k/9HrORjmnmMU5G9k8Y4rz1mr+4Z3hwfMo4JKquqyqfgd8Gjiku0NVfauqbm2+fp/OexNHwXrPTeMtwDHAb/sZ3ACYzvl5EfCBqroBoKqu63OMbZrO+Slg8+bv+zDufaQLWVWdBfx6ii6HACdUx/eBLZJs25/oJHUxT5g584eZM6eYOfOMHrSdf1gMD54lwJVd31c3yyZzGJ2rJaNgvecmySOAB1TVGf0MbEBM55+dhwAPSfLdJN9P8uS+Rde+6ZyfI4HnJFlN5+mzL+9PaENhpv9tkjQ/zBNmzvxh5swpZs48Y37Ma/7R91crab0ywbIJH/md5DnAUmCfeY1ocEx5bpLcA/gX4AX9CmjATOefnQ3pDGval86dgu8k2b2qbpzn2AbBdM7PocDxVfWeJH8GfLI5P3fOf3gDb9r/bZI0r8wTZs78YebMKWbOPGN+zGv+4Z3hwbMaeEDX9+2ZYAhFkicC/wgcXFW39Sm2tq3v3GwG7A6cmeRyOvMKThuhh2BM55+d1cCpVXV7Vf0P8HM6P2SjYDrn5zDg3wGq6nvAJsBWfYlu8E3rv02S5p15wsyZP8ycOcXMmWfMj3nNPyyGB885wIOT/EmSewLPBE7r7tAM5TmOzg/cKM3PmPLcVNXaqtqqqnasqh3pzJM6uKpWthNu3633nx3g83QerEKSregMcbqsr1G2Zzrn5xfAEwCS7ErnR2pNX6McXKcBz2ue6vgYYG1VXdN2UNIIMk+YOfOHmTOnmDnzjPkxr/mHw6QHTFX9PsnLgK/QeSrdx6tqVZKjgZVVdRrwz8Ai4D+SAPyiqg5uLeg+mea5GVnTPD9fAZ6U5GfAHcDrqupX7UXdP9M8P68BPpLk7+gMwXlBNY8yXOiSfIrOULetmrlMbwY2AqiqD9OZ2/RU4BLgVuBv24lUGm3mCTNn/jBz5hQzZ57Rm7bzj4z4+ZckSZIkjSCHSUuSJEmSRo7FsCRJkiRp5FgMS5IkSZJGjsWwJEmSJGnkWAxLkiRJkkaOxbAkSZIkaeRYDEuSJEmSRo7FsCRJkiRp5FgMSwMsyZZJPpfkliRXJHnWFH03TvLhJNcm+XWS05Ms6Wo/Mck1SW5KcnGSF45b/95JPpjk+iRrk5w1n8cmSZIGyxznHZNuK8k/JFnX9flNkjuTbDXfxyh1sxiWBtsHgN8B2wDPBj6UZLdJ+r4S+DPg4cB2wI3A+7va3wHsWFWbAwcDb02yd1f7CmBLYNfmf/9uDo9DkiQNvrnMOybdVlW9vaoWjX2AdwFnVtX183BM0qQshjUSklye5HVJzm+uUH4syTZJvpTk5iRfT3Lfrv6PSfJfSW5Mcl6Sfbva/jbJhc16lyU5vKtt3ySrk7wmyXXNndi/7THmTYG/Ao6oqnVVdTZwGvDcSVb5E+ArVXVtVf0W+DTwhx+wqlpVVbeNfW0+Ozf72oVOgby8qtZU1R1VdW4vcUuSNOpGPe+YybaSpFn+iV7ilmbDYlij5K+AvwQeAhwEfAn4B2ArOv8uvAKgGeLzBeCtdO6Qvhb4bJLFzXauAw4ENgf+FviXJHt17ef+wH2AJcBhwAe6f/C6JXlDkjMmifchwB1VdXHXsvPoKnDH+Rjw2CTbJbk3nauwXxq3vw8muRW4CLgG+GLT9GjgCuCoZpj0T5P81ST7kSRJ6zfKecdMtrWMzt3jz06yH2neWAxrlLy/uXp5FfAd4AdV9ePmbunngEc0/Z4DfLGqvlhVd1bV14CVwFMBquoLVXVpdXwb+Cqd/5CPuR04uqpur6ovAuuAXSYKqKreWVUHThLvImDtuGVrgc0m6X8x8AvgKuAmOsOdjx63v5c26y8DTgHG7hRvD+zebH874GXAJ5LsOsm+JEnS1EY575jJtp4P/GdVrZtkP9K8sRjWKLm26+/fTPB9UfP3A4H/1QxVujHJjcDjgG0Bkjwlyfebh0XcSOfHqvuBD7+qqt93fb+1a9szsY7OVeBumwM3T9L/Q8AmwP2ATekUu18a36kZAn02nQL4Jc3i39D5MX1rVf2u+bH9FvCkHuKWJEmjnXdMa1tJ7gX8LxwirZZYDEt3dyXwyaraouuzaVW9M8nGdIbxvBvYpqq2oDPUOPMQx8XAhkke3LVsD2DVJP33AI6vql83V53fDzxqiiczbkgzZxg4fy4CliRJM7YQ847pbusZwK+BM+cgfmnGLIaluzsROCjJ/kk2SLJJ84CK7YF7AhsDa4DfJ3kK83T3tKpuoXOV9egkmyZ5LHAI8MlJVjkHeF6S+yTZCHgpcHVVXZ9k6yTPTLKoOab9gUOBbzbrnkVnqNMbk2zY7Gtf4CvzcWySJOkPFlzeMYNtPR84oapqPo5JWh+LYWmcqrqSzn+w/4HOj8+VwOuAe1TVzXQeePHvwA3As+g8HbEn6bxn725Dmbu8FLgXnYdnfAp4SVWtatZdlqR7fs1rgd8C/93E/VTg6WOHRWdI9Oom7ncDr6qqU5tjvr055qfSmdPzEeB5VXVRr8cmSZLWb4HmHVNuq9neEmA/4IRej0earXghRpIkSZI0arwzLEmSJEkaORbDkiRJkqSRYzEsSZIkSRo5FsOSJEmSpJFjMSxJkiRJGjkWw5IkSZKkkWMxLM1SkiOTnNh2HJIkaeEz75DmjsWwNIV+/OAkeVaSK5LckuTzSbacou+KJD9PcmeSF4xre0GSO5Ks6/rs29W+Z5LvJFmbZHWSf5q/o5IkSTM1THlH075TkjOS3Jzk+iTHdLWdmOSaJDcluTjJC+fpkKSeWQxLLUqyG3Ac8FxgG+BW4INTrHIe8FLgR5O0f6+qFnV9zuxqOxk4C9gS2Ad4SZKDZ3kIkiRpSMxl3pHknsDXgG8C9we2B7oL+XcAO1bV5sDBwFuT7D0HhyHNGYthCUjy+iRXNVc2f57kCUmeDPwD8DfNXdbzmr5/kuTbTd+vAVvNYtfPBk6vqrOqah1wBPCMJJtN1LmqPlBV3wB+28O+dgROqqo7qupS4Gxgtx7jliRJPVogeccLgKur6r1VdUtV/baqzu9ad1VV3Tb2tfnsPIvYpTlnMayRl2QX4GXAI6tqM2B/4PKq+jLwduAzzV3WPZpVTgbOpfNj9Bbg+evZ/o1JHjdJ8250rroC0BSpvwMe0uPhPKIZpnRxkiOSbNjV9j7geUk2ao75z4Cv97gfSZLUgwWUdzwGuDzJl5rc48wkfzoulg8muRW4CLgG+GIP+5HmzYbr7yIteHcAGwMPS7Kmqi6frGOSHYBHAk9srnaeleT0qTZeVVtM0bwIWDtu2Vpgwiu063EWsDtwBZ0fu88Av6czTAngDOAE4LXABsDRVXVOD/uRJEm9Wyh5x/bA4+kMgf4G8Erg1CQPrarfNbG8NMnL6VyA3xe4bZJtSa3wzrBGXlVdArwKOBK4Lsmnk2w3SfftgBuq6pauZVfMYvfrgM3HLdscuHmmG6qqy6rqf6rqzqr6KXA08NcAzcMxvtws2wR4ALB/kpfOInZJkjRDCyXvAH4DnF1VX2qK33cD9wN27e7UTM86m07x/JIe9iPNG4thCaiqk6vqccAD6cxpeddY07iu1wD3TbJp17IdZrHrVcDYMCiS7ETnavHFs9jmmALS/L0TcEdVnVBVv6+q1cCngafOwX4kSdIMLJC843zuHu9UNsQ5wxowFsMaeUl2SbJfko3pPCDiN3SGMAFcC+yY5B4AVXUFsBI4Ksk9mzk5B81i9ycBByVZ1vzQHQ2cUlUTXqFt9rkJnSJ3oySbjMWW5ClJtmn+fiidh2Kc2qx6cWdxnpXkHknuD/wNXfOGJEnS/FsoeQedJ0c/JskTk2xA52739cCFyf9n787D7SrL+/+/PyUoWMSABgoBjWhEwQqFiLTWEcugIFj1q9ZKtGj4VqlzK05NUHH6OlSsIlFQaK0zLUNRShm09qdIgkwpWiIOBAIEgUBQUfD+/bGeo5vjOTsn55ycc5L9fl3Xvs5ez7DWvbg067nXXs+zskOSFybZJskWSQ4CXkS38rQ0Y5gMS90d0ffS/QN+I7AD3WqOAF9qf3+aZOi1An8BPAG4FVhMNw93VG1FyCeNVFdVK4D/S3dxupluzs4re/p+Nclberr8B91F80+Ape37k1vdAcAVSe6iW6DidLqFOKiqO4A/B14H3AZcBlwFHN8vdkmSNOk2i3FHVX0f+EvgE3Rji8OBZ7dHpovukehVre4DwGur6gykGSRVG/J0gyRJkiRJmz5/GZYkSZIkDRyTYUmSJEnSwDEZliRJkiQNHJNhSZIkSdLAMRmWJEmSJA0ck2FJkiRJ0sAxGZaAJBcl+UV7N9+6JN/vqdsryYoktyR5XU/5lkkuTrLrBI99QJLvJflZkguTPGwMfZ6SpJK8q6fs/kk+nOSGJLcl+XiSLXvq1w373JvkoxOJXZIkbbjNYdwxrP6CVj+rp+ydSa5Mck+SJROJWdpYTIal3zqmqrZpn917yt8DvBHYC3hbkj9o5a8HvlJV1433gEkeApwOvB3YHlgGfGE9fbYEPgJcPKzqWGAB8FjgUcA+wNuGKnvObRtgR+DnwJfGG7skSZqQTX3cMVT/YmDWCFUrgb8D/n288Uob20j/w5V0Xw8HLqiqu5NcAzw0yf2A5wJPnOC+/xxYUVVfAmh3Tm9J8uiq+t4ofd4A/Aeww7Dyw4D3VdWtbV8nAO8DFo+wj+cBNwP/NcH4JUnS5NpUxh0keRDdOONI4Fu9dVV1amvz4gnGLG00/jIs/dZ72iNJ/53kqT3lVwEHJtkFmAf8ADgB+Luq+tX6dprkiiR/MUr1nsDlQxtVdVfb/56j7OthwF8B7xipun16t3dpF6rhFgKnVVWtL35JkrRRbOrjDoB3AycCN64vLmkm8pdhqfMm4H+AXwIvBM5KsndV/YDuUaUTgT8AXkd3V/ZO4NokZwCzgX8cuss6XFU9rs9xtwHWDCtbCzxwlPYnAG+vqnVJhtd9FXhNkguBLYBXt/IHtH0CkOShwFOAo/rEJUmSNp5NftyRZEGL7TXALn2OKc1YJsMSUFW982BOTfIi4JnAR6vqx+07SR4A/H/AQcBH6ebZ/DtwVZLzhx5R3gDrgG2HlW1Ld9G7jySHAQ+sqtHm9hxPd4G8DLgb+CTwR3SPQ/c6EvhmVf1wA2OVJEmTYFMfdyT5PeDjwGuq6p4RbtBLmwQfk5ZGVtz3keMhfw98qqpuAv4QWFZVa4FVwCPHcZwVdAtkAJDk94FHtPLhDgAWJLkxyY3AC4DXtrvEVNXPq+qYqppbVbsBPwWWV9W9w/ZzJHDqOGKVJEkbx6Y27tiWbtHOL7S6S1qfVUmeNI64pGlhMqyBl2R2koOSbJVkVlvo4cnAucPa7QE8le7RJYAfAk9PsiMwH/jJOA7/r8Bjkzw3yVZ0F70rRlnE4u10q0Tv3T5n0v36+7IW39wkO6ezf2t/n8WzkvwJMBdXkZYkaVpsJuOOtcDOPXXPbH32pa063V4FtRVdvjGrne8W44hZ2mhMhiXYEngX3RyaW4C/AY6oqu8Pa/cxuseBhn5pfTPdvNwVwLurasTFI9q7AkdcSbGq1tCtDnk8cBvwBLq5Q0N9P5HkE63tnVV149CH7tVId/U8IvUIukep7qL75ffYqvqPYYdcCJxeVb/zOJQkSZoSm/y4ozq9dUPzkG+qql+2759sfV4EvLV9f8lY/gNJUyUuJitJkiRJGjT+MixJkiRJGjgmw5IkSZKkgWMyLEmSJEkaOCbDkiRJkqSBYzIsSZIkSRo4JsOSJEmSpIFjMqyBk+T+SU5O8uMkdyb5bpJDeurnJakk63o+b++p/9sktyS5Kslje8qfmOTfJhhbkrwvyU/b5/1JMkrbtwyL8edJfp3kIa1+xbD6e5KcNcJ+FrbzfflEYpckSb9rgMYd709yXZI72rm+dVj/SnJXT/9PTSR2aTLMmu4ApGkwC7gOeArwE+CZwBeT/GFV/ain3eyquqe3Y5KdgKOA3YAjgfcChyaZBXyQnhfXj9Mi4AhgL6CA84BrgU8Mb1hV7wbe3RPbEuDJVXVLq9+zpy7AD4AvDTuf7YA3AysmGLckSRrZQIw7gJOB46rqriRzgf9IcnVVnd6zm72qauUEY5Ymjb8Ma+BU1V1VtaSqflRVv66qs4EfAvuOoftDge9W1R3Af9JdnABeC5w57KI2HguBD1bVqqq6nu5C99L1dWrJ7kuAU0dp8mRgB+Arw8rfA5wA3PI7PSRJ0oQNyrijqr5fVXf1NPs18MgJxidtVCbDGnhJdgQexe/+OvrjJKuSfHroESBgJfCHSWYDzwBWJNmV7s7sB8ZwrD9NcnufJnsCl/dsX97K1udJwI78brI7ZCHw5d6LVJL9gAWMcPdXkiRtHJvzuCPJsUnWAauA3wf+ZVi/byS5McnpSeaN4TjSRmUyrIGWZEvgs8CpVfW9VnwL8HjgYXR3bR/Y2lBVPwWOBy4AngW8EfgI8CbgOUm+nuSMJLuMdLyq+mZVze4T0jbA2p7ttcA2o83f6TGU7K4b4RwfADwP+ExP2RbAx4G/qapfr2ffkiRpEmzu446qem+Lfx/gn4bt+ynAPODRwA3A2e1xb2namAxrYCX5Pbp/qH8JHDNUXlXrqmpZVd1TVTe1ugOTbNvqP1dV+1TVIcBjgbuB79LdoT2Mbl7ueu/WjmIdsG3P9rbAuqqqPuexNfB8Rn9E+s+BW4Gv95S9Eriiqr41zjglSdIGGJRxR3W+C/wcOK6n/BtV9cuquh14DfBw4DHjjFuaFCbDGkjtjufJdI/4PLeqftWn+dAF4T53SdvF4N3AG4D5wHVtTs8lwOPGGdoKukUshuzF+he3Gkp2LxqlfiFw2rAL2wF0d5RvTHIj8CfAB5P847iiliRJoxqwcceQWcAj+tQXw85Rmmo+mqBBdSLd3chnVNXPeyuSPAG4HbgG2I5ugamLqmrtsH28DfhMVd2QpIDd2zygp9GtxDgepwGvT3IO3UXiDcBH19NnpGR36Fx2afH832FVLwW26tk+Hfgy3YVakiRNrs163NF+9X4F8MV2Lo8HXkW3UCdJ9gS2BK4EtgbeBVwPXD3OuKVJ4S/DGjhJHgYcDewN3NjzvrsXtya7AV8D7gSuonsc6UXD9rE7cCDtglFVq+led7ACeDXd64pGOvaT2sISozkJOIvuYnEV8O+tbKj/uiRP6tmeCzyd7mI2kpcA36qqH/QWVtXtVXXj0IfukTDMs04AACAASURBVK07RrjwSpKkCRigccdz6F7jeCfwzy3WocR6R+ALwB10ifs84ND1/EIubXTpMyVAkiRJkqTNkr8MS5IkSZIGjsmwJEmSJGngmAxLkiRJkgaOybAkSZIkaeCYDEuSJEmSBo7JsCRJkiRp4JgMS5IkSZIGjsmwBlKSi5L8oufF998fVv8XSX6c5K4k/5Zk+566f0hyW5JvtZfPD5W/OMlHJhjX/ZOckuSOJDcmeX2ftknyriTXJ1nbzmnPnvrtk3whyS3t89kk2/bU753kv1rfVUn+fiKxS5KkkQ3CuKO1eUaSS9t5XJfk//TU7Z1keZKftb97TyR2aTKYDGuQHVNV27TP7kOF7R/2k4CXADsCPwM+3ur2A/YF/gD4JvDmVv4g4I3ARBPKJcB84GHA04C/S3LwKG2fD/wV8CRge+BbwD/11L8L2A7YDXhEO5clPfX/Anyj9X0K8NdJnj3B+CVJ0sg263FHkj3oxhZvBR4E7A0sb3X3A84A/plubHIqcEYrl6aNybD0u14MnFVV36iqdcDbgT9P8kDg4cA3q+pu4Hy6RBPgeOD/VdXaCR77SOCdVXVbVV0NfBJ46Shth2K5tqrupbvA7DGs/t+q6o4W178CvXdw5wGfrap7q+oHdBfZ+9zhlSRJG93mMu54G3BSVX21qu6pqp+28QXAU4FZwD9U1d1VdQIQ4OkTjF+aEJNhDbL3tMeH/zvJU3vK9wQuH9po/5D/EngUsAJ4UpKtgQOAFUkWALtX1b+s74DtMagrRqnbDti599jt+2gJ6ueBRyZ5VJItgYXA13rqPwYcmmS7tu/nAl/tqf8H4MgkWybZHfhj4D/Xdw6SJGlcNvdxx/5tv1cmWZ3kn3se994TuKKqqqf9FX2OJU0Jk2ENqjfR3V2dCywFzkryiFa3DTD8Tuta4IFVdRXwFeDbwEOB9wEfAV6d5NVJvtHm5s4e6aBV9S9V9bhRYtqm51j3Oe4o7VcD/wV8H/g53eNLr+upvxS4H/DT9rmX9thVczbwvNb3e8DJVXXJKMeSJEnjNwjjjl3oHvV+Lt2j11sDH13fOY5yLGlKmAxrIFXVxVV1Z3tU51Tgv4Fntup1wLbDumwL3Nn6friq9qqqFwAvoLsw/B6wiO6u7dXAseMIa13PsX7nuCNYDDwe2BXYCjgOuCDJA1r9l4D/pbvQbAv8gO6RJtqd2q8B72h9dwUOSvLKccQtSZL6GJBxx8+BT1fV/7bHvd891nOUpovJsNQpurkr0D2StNdQRZLdgPvTJZb0lO8IHE2XUD6W7vGfXwGXAKPdhR09gKrb6O667tVTvFeLZyR7AV+oqlVtbs5n6Bal2KOn/qSquqtdlD7Bby9KuwH3VtVpre8qusefnokkSdrYNsdxxxXtvEayAnhckvSUPa7PsaQpYTKsgZNkdpKDkmyVZFaSFwNPBs5tTT4LHJbkSUl+n+6ic3pVDb97+SFgcVX9DPgh8Pgk29AtEnHtOMM7DXhbm+f7aOAVwGdGaXsJ8PwkOyb5vSQvAbYEVvbUvzzJ1m2u0SJ+Oy/of7v/FPmL1vcP6O42X44kSZo0AzTu+DTwsiS7tV+L30Q3JQvgIrrpWq9ur3M6ppVfMM64pUlhMqxBtCXda4fWALcAfwMcUVXfB6iqFcD/pbs43Uz3mPF9Hh9O8jRgdlX9a+vzHeDfgevoXk3w3pEO3N4J2O8u6GK6x5l/DHydbqXIr7W+D033bsKHtrbvo0teLwNup5u389yqur3V/xXditGrgOvpfg1+aYv3DuDPW5/b2j6uoludUpIkTZ6BGHdU1Sl0yfXFbX93A69udb8EjqBbvfp2ujHKEa1cmja576JukiRJkiRt/vxlWJIkSZI0cEyGJUmSJEkDx2RYkiRJkjRwTIYlSZIkSQPHZFiSJEmSNHBMhiVJkiRJA8dkWAOpvTev93Nvko+2unlJalj923v6/m2SW5JcleSxPeVPTPJvE4wrSd6X5Kft8/4k6dP2rUl+kuSOJJ9Psu0I7bZPsibJN4eVvzzJynZ+X0uy80RilyRJIxuEcUeSDyS5JsmdSb6X5Mhh/SvJXT3n+KmJxC5NBpNhDaSq2mboA+wI/Bz40rBms3vavRMgyU7AUcBuwCdoL7lPMgv4IPDaCYa2iO6l9HsBjwMOBY4epe2RwEuAJwI7A1sDHx2h3fuAq3sLkjwFeDdwOLA98EPgcxOMXZIkjWBAxh13AYcBDwIWAh9J8ifD9rFXzzm+fIKxSxNmMizB84Cbgf8aQ9uHAt+tqjuA/6S7OEF3MTqzqn40wVgWAh+sqlVVdT3dhe6lo7Q9DDi5qq6rqnV0Se8LkjxgqEGSPwYeC3x6hL5fqqoVVfVL4J3Ak5M8YoLxS5Kk/jbLcUdVLa6q71XVr6vqYrrz++MJxidtVCbDUnchOK2qalj5j5OsSvLpJA9pZSuBP0wyG3gGsCLJrsALgQ+s70BJ/jTJ7X2a7Alc3rN9eSsbcXft07t9f2B+O9YWwMeAY4Dh5zZSX+gSZ0mStPFsluOOYcfdGng8sGJY1TeS3Jjk9CTz+kcvbXwmwxpoSR4KPAU4taf4Frp/wB8G7As8EPgsQFX9FDgeuAB4FvBG4CPAm4DnJPl6kjOS7DLS8arqm1U1u09I2wBre7bXAtuMMn/nq8DL21yjB7UYAIZ+GX41cHFVLR+h7znA/0nyuHbB+nu6hPkBI7SVJEmTYDMfd/T6BF1ifW5P2VOAecCjgRuAs9vj3tK08X+AGnRHAt+sqh8OFbRHf5a1zZuSHAOsTrJtVd1RVZ+jza9N8izgbuC7/PZu6rPp7ta+cBzxrAN6F8HaFlg3wt1jgFOAXYGL6P6//EG6R5hWtcWwXk13Uf0dVXV+ksXAV+jm9nwYuBNYNY6YJUnS2GyW447eRkn+H92TZk/r3U9VfaN9/WWS1wB3AI8BrhxH3NKk8JdhDbojue/d2ZEM/UN+n7uk7RfVdwNvoHtE6Lo2p+cSukUoxmMF3SIWQ/bidx8x6oLq5uQsrqp5VbVLa3d9++wH7AT8T5Ib6e4i79ceTdqi9f9YVc2vqh3okuJZwFXjjFuSJK3f5jruGIrxOOAQ4MAWWz/FsHOUppq/DGtgtRUO5zJsNcckTwBuB64BtgNOAC6qqrXDdvE24DNVdUOSAnZPsiPwNODacYZ1GvD6JOfQXSTewMgrRJNk+xbftXR3Vj8EvKOqfp3kq3SPIg15AfAXwOFVdW+SrYBH0l3IdgWWAh+pqtvGGbckSepjcx53tPo30401ntwe7+7tuyewJd2vwFsD76JLou/ztgtpqvnLsAbZQuD0qrpzWPluwNfoHhu+iu5xpBf1NkiyO3Ag7YJRVavpXnewgu7x5DePdMAkT0qyrk9MJwFn0V0srgL+vZUN9V+X5Elt8yF0c3/vopvHc0pVLW3x3F1VNw596OYA/ap9B9gK+Be6x6O+A3wL+M07DSVJ0qTbbMcdzbvpVr++puddwm9pdTsCX6B7NPpauhv2h1bVr/rEJm10GXlKgCRJkiRJmy9/GZYkSZIkDRyTYUmSJEnSwDEZliRJkiQNHJNhSZIkSdLAMRmWJEmSJA0ck2FJkiRJ0sAxGZYkSZIkDRyTYQ2kJI9JckGStUlWJnlOT928JNXzwvh1Sd7eU/+3SW5JclWSx/aUPzHJv00wriR5X5Kfts/7k6RP27cm+UmSO5J8Psm2PfXbJ/lCi/WWJJ8dVn9hkjWt7+VJDp9I7JIkaWQDMu5YMewc7kly1gj7WdjO9+UTiV2aDCbDGjhJZgFnAGcD2wOLgH9O8qhhTWdX1Tbt887WdyfgKGA34BPAe3v2+UHgtRMMbxFwBLAX8DjgUODoUdoeCbwEeCKwM7A18NGe+ncB27VYHwHsCCzpqX8NsFNVbctv/xvsNMH4JUlSj0EZd1TVnkPxAw8EfgJ8qXcHSbYD3gysmGDc0qQwGdYgejTdP+Ifrqp7q+oC4L/p/oFfn4cC362qO4D/pLs4QXcxOrOqfjTB2BYCH6yqVVV1Pd2F7qWjtD0MOLmqrquqdcD7gBckeUCrfzjwb1V1R1WtBf4V2HOoc1VdUVX3DG0CWwK7TjB+SZJ0X4My7uj1ZGAH4CvDyt8DnADcMsG4pUlhMqxBNNLjPwEeO6zsx0lWJfl0koe0spXAHyaZDTwDWJFkV+CFwAfWe+DkT5Pc3qfJnsDlPduX05PAjhBzhm3fH5jftj8GHJpku3Yn9rnAV4fFc3aSXwAXAxcBy9Z3DpIkaYMMyrij10Lgy1V1V08s+wEL6H7hlmYEk2ENou8BNwN/m2TLJAcCTwGG7mzeAjweeBiwL92jPp8FqKqfAscDFwDPAt4IfAR4E/CcJF9PckaSXUY6cFV9s6pm94ltG2Btz/ZaYJtR5u98FXh5m2v0oBYDPedxKXA/4Kftcy/w8WHxHNrO75nAuVX16z6xSZKkDTco4w4A2i/FzwM+01O2Bd0Y5G8ca2gmMRnWwKmqX9HNj3kWcCPwBuCLwKpWv66qllXVPVV1E3AMcODQIhFV9bmq2qeqDqG7q3s38F26O7SH0c2PWe/d2lGsA7bt2d4WWFdVNULbU4DP0f2iuwK4sJWvan+/BPwv3UV1W+AHwD8P30lV/aqqvgoclOTZ44xbkiSNYIDGHUP+HLgV+HpP2SuBK6rqW+OMU9ooTIY1kNp82adU1YOr6iC6OTjfGa15+3ufu6RJtgbeTXdRmw9c1+b0XEK3CMV4rKBbxGLIXoyyyERV/bqqFlfVvKrapbW7vn2G+p5UVXe1uT2foPsFeDSz6BbakiRJk2hAxh1DFgKnDUuoD6D7JfvGJDcCfwJ8MMk/jjNuaVKYDGsgJXlckq2SPCDJG4GdaI/zJHlCkt2T/F6SB9Mt9HBRW4Sq19uAz1TVDXQrJu6eZEfgacC14wztNOD1SeYm2ZnugveZUc5h+ySPaK862AP4EPCOnsePLqF7nGnrdgFdRJsXlOTRSQ5pdVsm+Uu6xS6+PtKxJEnS+A3IuIP2uPbTgFOHdX8p8Bhg7/ZZBhwHvHWccUuTYtZ0ByBNk5cAL6dbQfm/gD+rqrtb3W50d153AO4AzgNe1Ns5ye7AgcAfA1TV6iTvpbtLejPwgpEOmuRJwFfbawdGclI7/pVt+1OtbKj/OuCQqvov4CHAWXQrQK8BPlJVS3v29Vd0F9RVdHeXv8NvV4gM3WuW9qCbS3wN8IKqunSUuCRJ0vgNwrhj6Dy/VVU/6C2sqvss4pXkl8AdIyT80pTKyFMCJEmSJEnafPmYtCRJkiRp4JgMS5IkSZIGjsmwJEmSJGngmAxLkiRJkgaOybAkSZIkaeCYDEsTlOSiJC+f7jgkSdLmz3GHNHlMhrVJSvKjJM+Y7jhmmiQ7JTkzyQ1JKsm89bSfl+TCJD9L8r3h/02TvC7JjUnWJjklyf3H2leSpM2F446ROe7Qps5kWJulJLOmO4Zp8mvga8Bzx9j+c8B3gQcDbwW+nGQOQJKDgGOBA4B5wG7AcWPpK0nSIHHc4bhDmyaTYW1ykvwT8FDgrCTrkvxdu1tYSY5K8hPggiRPTbJqWN/f3NlN8ntJjk3ygyQ/TfLFJNv3Oe7hSS5Lckfrc/AIbR6R5IK2v1uSfDbJ7J76NyW5PsmdSb6f5IBWvl+SZW3fNyX50Hj+21TVTVX1ceCS9bVN8ihgH2BxVf28qr4CXMlvL2gLgZOrakVV3Qa8E3jpGPtKkrRZcNwxOscd2tSZDGuTU1UvAX4CHFZV21TV+3uqnwI8BjhoDLt6NXBE67MzcBvwsZEaJtkPOA34W2A28GTgRyM1Bd7T9vcYYFdgSdvH7sAxwOOr6oEtxqF9fAT4SFVtCzwC+OJoQSe5PcmfjuH81mdP4NqqurOn7PJWPlR/+bC6HZM8eAx9JUnaLDjucNyhzdegPtKhzdeSqroLIMn62h4NHFNVq1r7JcBPkrykqu4Z1vYo4JSqOq9tXz/SDqtqJbCyba5pd1oXt+17gfsDeyRZU1U/6un6K+CRSR5SVbcA3x4t6KqaPVrdBtoGWDusbC0wd5T6oe8PHENfSZIGgeOOsXPcoRnHX4a1ubluA9o+DPjXdsfzduBqugvHjiO03RX4wfp2mGSHJJ9vjyTdAfwz8BD4zQXrtXR3bG9u7XZuXY8CHgV8L8klSQ7dgPMYr3XAtsPKtgXuHKV+6PudY+grSdIgcNwxdo47NOOYDGtTVWMovwt4wNBGki2A3oUWrgMOqarZPZ+tqmqku6/X0T1GtD7vaTE8rj169Jd0jzB1wVX9S1X9Kd0FsYD3tfJrqupFwA6t7MtJfn8Mx5uIFcBuSR7YU7ZXKx+q32tY3U1V9dMx9JUkaXPiuGPiHHdoxjEZ1qbqJrpVBvv5X2CrJM9KsiXwNrrHhYZ8Ajg+ycMAksxJcvgo+zoZeFmSA9oCGHOTPHqEdg+ku3t5e5K5dHN9aPvfPcnT070m4BfAz+nuCJPkL5PMqapfA7e3Lveu5/xGlGSrnvO8f9v+HVX1v8BlwOIkWyV5DvA44CutyWnAUUn2SLId3X+/z4yxryRJmxPHHaNw3KFNmcmwNlXvAd7WHjV640gNqmot8ErgU3Rzbe4Celd5/AhwJvAfSe6kmy/zhFH29R3gZcCH6eaofJ3uLutwx9GtdrgW+Hfg9J66+wPvBW4BbqS7G/uWVncwsCLJuhbXC6vqFyPFkm4lyyeNVNf8nO7CCPC9tj3U9xNJPtHT9oXAArpFPN4LPK+q1rRz/hrwfuBC4Mfts3gsfSVJ2sw47hid4w5tslI12lMfkiRJkiRtnvxlWJIkSZI0cEyGJUmSJEkDx2RYkiRJkjRwTIYlSZIkSQPHZFiSJEmSNHBMhiVJkiRJA8dkWJIkSZI0cEyGJUmSJEkDx2RYkiRJkjRwTIYlSZIkSQPHZFiSJEmSNHBMhiVJkiRJA2fWdAfQz0Me8pCaN2/edIchSZqg5cuX31JVc6Y7Dqkfxx2StHkY67hjRifD8+bNY9myZdMdhiQNtOXLl7PvvvtOaB9JfjxJ4UgbjeMOSZp+Uznu8DFpSVJfCxYsmO4QJEnSgJjKcYfJsCRJkiRp4JgMS5IkSZIGjsmwJKmvxYsXT3cI2kQl2SrJd5JcnmRFkuNa+WeS/DDJZe2zdytPkhOSrExyRZJ9eva1MMk17bOwp3zfJFe2PickSSvfPsl5rf15Sbab6vOXJG24qRx3mAxLkvpasmTJdIegTdfdwNOrai9gb+DgJPu3ur+tqr3b57JWdggwv30WASdCl9gCi4EnAPsBi3uS2xNb26F+B7fyY4Hzq2o+cH7bliTNcFM57jAZliT1tfPOO093CNpEVWdd29yyfapPl8OB01q/bwOzk+wEHAScV1W3VtVtwHl0ifVOwLZV9a2qKuA04IiefZ3avp/aUy5JmsGmctwxo1+tJEmaBl+/76tlVq9ePU2BaHOQZAtgOfBI4GNVdXGSvwaOT/L3tF9tq+puYC5wXU/3Va2sX/mqEcoBdqyq1QBVtTrJDpN+cpKkietmt/zGVI46/GVYkiRtNFV1b1XtDewC7JfkscCbgUcDjwe2B97UmmekXYyjfMySLEqyLMmyNWvWbEhXSdImzmRYktTXPvvss/5G0npU1e3ARcDBVbW6PQp9N/BpunnA0P2yu2tPt12AG9ZTvssI5QA3tceoaX9vHiWupVW1oKoWzJkzZwJnKEmaDFM57jAZliT1tXz58ukOQZuoJHOSzG7ftwaeAXyvJ0kN3Vzeq1qXM4Ej26rS+wNr26PO5wIHJtmuLZx1IHBuq7szyf5tX0cCZ/Tsa2jV6YU95ZKkGWwqxx0mw5KkvhYtWjTdIWjTtRNwYZIrgEvoFsE6G/hskiuBK4GHAO9q7c8BrgVWAp8EXglQVbcC72z7uAR4RysD+GvgU63PD4CvtvL3An+W5Brgz9q2JGmGm8pxR7rFF2emBQsW1LJly9bfUJI0eYYtoJWnPp6JXiuSLK+qBRPaibSROe6QpGkwbAGtwJSNO/xlWJIkSZI0cEyGJUmSJEkDx2RYktTX9ddfP90hSJKkATGV4w6TYUlSX64mLUmSpoqrSUuSZoxnP/vZ0x2CJEkaEFM57jAZliRJkiQNHJNhSZIkSdLAGVMynOR1SVYkuSrJ55JsleThSS5Ock2SLyS5X2t7/7a9stXP69nPm1v595MctHFOSZI0mU466aTpDkGSJA2IqRx3rDcZTjIXeDWwoKoeC2wBvBB4H/DhqpoP3AYc1bocBdxWVY8EPtzakWSP1m9P4GDg40m2mNzTkSRNtkWLFk13CJIkaUBM5bhjrI9JzwK2TjILeACwGng68OVWfypwRPt+eNum1R+QJK3881V1d1X9EFgJ7DfxU5AkbUzdP+GSJEkb31SOO9abDFfV9cAHgJ/QJcFrgeXA7VV1T2u2Cpjbvs8Frmt972ntH9xbPkIfSZIkSZKmzFgek96O7lfdhwM7A78PHDJC0xrqMkrdaOXDj7coybIky9asWbO+8CRJkiRJ2mBjeUz6GcAPq2pNVf0KOB34E2B2e2waYBfghvZ9FbArQKt/EHBrb/kIfX6jqpZW1YKqWjBnzpxxnJIkaTIdeuih0x2CJEkaEFM57hhLMvwTYP8kD2hzfw8A/ge4EHhea7MQOKN9P7Nt0+ovqKpq5S9sq00/HJgPfGdyTkOStLGcddZZ0x2CNmHtDRTfSXJ5ezPFca180t5KkeTgVrYyybE95SMeQ5I0c03luGMsc4YvplsI61LgytZnKfAm4PVJVtLNCT65dTkZeHArfz1wbNvPCuCLdIn014BXVdW9k3o2kqRJd9hhh013CNq03Q08var2AvYGDk6yP5P0Vor2ZoqP0U3h2gN4UWtLn2NIkmaoqRx3zFp/E6iqxcDiYcXXMsJq0FX1C+D5o+zneOD4DYxRkjSNzj777OkOQZuw9nTYura5ZfsU3Vsp/qKVnwosAU6kW6dkSSv/MvCPw99KAfyw3XQfGoesrKprAZJ8Hjg8ydV9jiFJmqGmctwx1lcrSZIkjUv7Bfcy4GbgPOAHTN5bKUYrf3CfY0iSZDIsSZI2rqq6t6r2pls8cz/gMSM1a3839K0UvsVCkjQuJsOSpL66p1yliauq24GLgP2ZvLdSjFZ+S59j9MbkWywkaQaZynGHybAkqa+lS5dOdwjahCWZk2R2+7413Ssbr2by3kpxCTC/rRx9P7pFts5sfUY7hiRphprKcYfJsCSpr6OPPnq6Q9CmbSfgwiRX0CWu51XV2UzSWynanOBjgHPpkuwvtrb0OYYkaYaaynHHmFaTliRJGo+qugL4oxHKJ+2tFFV1DnDOWI8hSRL4y7AkSZIkaQCZDEuS+jrzzDOnOwRJkjQgpnLcYTIsSepr3333ne4QJEnSgJjKcYfJsCSpr7lz5053CJIkaUBM5bjDZFiSJEmSNHBMhiVJkiRJA8dkWJLU1yte8YrpDkGSJA2IqRx3mAxLkvpaunTpdIcgSZIGxFSOO0yGJUl9uZq0JEmaKq4mLUmaMS699NLpDkGSJA2IqRx3mAxLkiRJkgaOybAkqa+ddtppukOQJEkDYirHHSbDkqS+brjhhukOQZIkDYipHHeYDEuS+lqyZMl0h6BNVJJdk1yY5OokK5K8ppUvSXJ9ksva55k9fd6cZGWS7yc5qKf84Fa2MsmxPeUPT3JxkmuSfCHJ/Vr5/dv2ylY/b+rOXJI0XlM57jAZliT1ddxxx013CNp03QO8oaoeA+wPvCrJHq3uw1W1d/ucA9DqXgjsCRwMfDzJFkm2AD4GHALsAbyoZz/va/uaD9wGHNXKjwJuq6pHAh9u7SRJM9xUjjtMhiVJ0kZRVaur6tL2/U7gamBuny6HA5+vqrur6ofASmC/9llZVddW1S+BzwOHJwnwdODLrf+pwBE9+zq1ff8ycEBrL0kSYDIsSZKmQHtM+Y+Ai1vRMUmuSHJKku1a2Vzgup5uq1rZaOUPBm6vqnuGld9nX61+bWsvSRJgMixJWo9ly5ZNdwjaxCXZBvgK8NqqugM4EXgEsDewGvjgUNMRutc4yvvta3hsi5IsS7JszZo1fc9DkrTxTeW4w2RYkiRtNEm2pEuEP1tVpwNU1U1VdW9V/Rr4JN1j0ND9srtrT/ddgBv6lN8CzE4ya1j5ffbV6h8E3Do8vqpaWlULqmrBnDlzJnq6kqRNiMmwJKmvBQsWTHcI2kS1ObonA1dX1Yd6yntfIvkc4Kr2/UzghW0l6IcD84HvAJcA89vK0fejW2TrzKoq4ELgea3/QuCMnn0tbN+fB1zQ2kuSZrCpHHeMKRlOMjvJl5N8r70e4Y+TbJ/kvPYqg/OG5vukc0J7lcEVSfbp2c/C1v6aJAtHP6IkSdoMPBF4CfD0Ya9Ren+SK5NcATwNeB1AVa0Avgj8D/A14FXtF+R7gGOAc+kW4fpiawvwJuD1SVbSzQk+uZWfDDy4lb8e+M3rmCRJApi1/iYAfAT4WlU9r92RfQDwFuD8qnpve9/fsXQXpEPo7uTOB55ANy/oCUm2BxYDC+jm7CxPcmZV3TapZyRJkmaEqvomI8/dPadPn+OB40coP2ekflV1Lb99zLq3/BfA8zckXknSYFnvL8NJtgWeTLvTWlW/rKrbue8rC4a/yuC06nybbi7PTsBBwHlVdWtLgM+je4egJGkGW7x48XSHIEmSBsRUjjvG8pj0bsAa4NNJvpvkU0l+H9ixqlZD9x5BYIfWfkNfiyBJmsGWLFky3SFIkqQBMZXjjrEkw7OAfYATq+qPgLvoP+9mPK8/+G1nX3EgSTPKzjvvPN0hSJKkATGV446xJMOrgFVVdXHb/jJdcnzT0GqQ7e/NPe035LUI9+ErDiRpZlm9evV0hyBJkgbEVI471psMV9WNwHVJdm9FB9Ct8tj7yoLhrzI4sq0qvT+wtj1Gu+LolwAAIABJREFUfS5wYJLt2srTB7YySZIkSZKm1FhXk/4b4LNtJelrgZfRJdJfTHIU8BN+u2LjOcAzgZXAz1pbqurWJO+ke1cgwDuq6tZJOQtJ0kazzz77rL+RJEnSJJjKcceYkuGquozulUjDHTBC2wJeNcp+TgFO2ZAAJUnTa/ny5dMdgiRJGhBTOe4Yy5xhSdIAW7Ro0XSHIEmSBsRUjjtMhiVJfX3yk5+c7hAkSdKAmMpxh8mwJEmSJGngmAxLkiRJkgaOybAkqa/rr79+ukOQJEkDYirHHSbDkqS+XE1akiRNFVeTliTNGM9+9rOnOwRJkjQgpnLcYTIsSZI2iiS7JrkwydVJViR5TSvfPsl5Sa5pf7dr5UlyQpKVSa5Isk/Pvha29tckWdhTvm+SK1ufE5Kk3zEkSRpiMixJkjaWe4A3VNVjgP2BVyXZAzgWOL+q5gPnt22AQ4D57bMIOBG6xBZYDDwB2A9Y3JPcntjaDvU7uJWPdgxJkgCTYUnSepx00knTHYI2UVW1uqoubd/vBK4G5gKHA6e2ZqcCR7TvhwOnVefbwOwkOwEHAedV1a1VdRtwHnBwq9u2qr5VVQWcNmxfIx1DkjSDTeW4w2RYktTXokWLpjsEbQaSzAP+CLgY2LGqVkOXMAM7tGZzget6uq1qZf3KV41QTp9jDI9rUZJlSZatWbNmvKcnSZokUznuMBmWJPXVpmBK45ZkG+ArwGur6o5+TUcoq3GUj1lVLa2qBVW1YM6cORvSVZK0EUzluMNkWJIkbTRJtqRLhD9bVae34pvaI860vze38lXArj3ddwFuWE/5LiOU9zuGJEmAybAkSdpI2srOJwNXV9WHeqrOBIZWhF4InNFTfmRbVXp/YG17xPlc4MAk27WFsw4Ezm11dybZvx3ryGH7GukYkiQBMGu6A5AkzWyHHnrodIegTdcTgZcAVya5rJW9BXgv8MUkRwE/AZ7f6s4BngmsBH4GvAygqm5N8k7gktbuHVV1a/v+18BngK2Br7YPfY4hSZrBpnLckW7xxZlpwYIFtWzZsukOQ5IGy9eH/bv7lAUT3mWS5VU18R1JG5HjDkmaBsPnCE9CfjrWcYePSUuS+jrssMOmOwRJkjQgpnLcYTIsSerr7LPPnu4QJEnSgJjKcYfJsCRJkiRp4JgMS5IkSZIGjsmwJKmvmbzQoiRJ2rxM5bjDZFiS1NfSpUunOwRJkjQgpnLcYTIsSerr6KOPnu4QJEnSgJjKcYfJsCRJkiRp4JgMS5IkSZIGjsmwJKmvM888c7pDkCRJA2Iqxx1jToaTbJHku0nObtsPT3JxkmuSfCHJ/Vr5/dv2ylY/r2cfb27l309y0GSfjCRp8u27777THYIkSRoQUznu2JBfhl8DXN2z/T7gw1U1H7gNOKqVHwXcVlWPBD7c2pFkD+CFwJ7AwcDHk2wxsfAlSRvb3LlzpzsESZI0IKZy3DGmZDjJLsCzgE+17QBPB77cmpwKHNG+H962afUHtPaHA5+vqrur6ofASmC/yTgJSZIkSZI2xFh/Gf4H4O+AX7ftBwO3V9U9bXsVMJTCzwWuA2j1a1v735SP0EeSJG2GkpyS5OYkV/WULUlyfZLL2ueZPXUjTqlKcnArW5nk2J7yDZ62JUkSjCEZTnIocHNVLe8tHqFpraeuX5/e4y1KsizJsjVr1qwvPEnSRvaKV7xiukPQpu0zdNOjhvtwVe3dPufA6FOq2rSqjwGHAHsAL2ptYQOnbUmSZrapHHeM5ZfhJwLPTvIj4PN0j0f/AzA7yazWZhfghvZ9FbArQKt/EHBrb/kIfX6jqpZW1YKqWjBnzpwNPiFJ0uRaunTpdIegTVhVfYNuHDAWo02p2g9YWVXXVtUv6cYjh49z2pYkaQabynHHepPhqnpzVe1SVfPo7tZeUFUvBi4EnteaLQTOaN/PbNu0+guqqlr5C9tjSw8H5gPfmbQzkSRtFK4mrY3kmCRXtMeot2tlo02pGq18PNO2JEkz2ExdTXq4NwGvT7KS7uJycis/GXhwK389cCxAVa0Avgj8D/A14FVVde8Eji9JmgKXXnrpdIegzc+JwCOAvYHVwAdb+YZOtRrPtK37cHqWJM0sUznumLX+Jr9VVRcBF7Xv1zLCatBV9Qvg+aP0Px44fkODlCRJm4+qumnoe5JPAme3zX5TqkYqv4U2bav9+jvStK1Vw6ZtDY9lKbAUYMGCBb+TLEuSNl8T+WVYkjQAdtppp+kOQZuZJL3/o3oOMLTS9GhTqi4B5reVo+9HN23rzDYNa0OnbUmSZrCpHHds0C/DkqTBc8MNv7PWoTRmST4HPBV4SJJVwGLgqUn2pnts+UfA0dBNqUoyNKXqHnqmVCU5BjgX2AI4pU2/gm7a1ueTvAv4LvedtvVPbdrWrXQJtCRphpvKcYfJsCSpryVLlrBkyZLpDkObqKp60QjFJ49QNtR+xClV7fVL54xQvsHTtiRJM9dUjjt8TFqS1Ndxxx033SFIkqQBMZXjDpNhSZIkSdLAMRmWJEmSJA0ck2FJUl/Lli2b7hAkSdKAmMpxh8mwJEmSJGngmAxLkvpasGDBdIcgSZIGxFSOO0yGJUmSJEkDx2RYkiRJkjRwTIYlSX0tXrx4ukOQJEkDYirHHSbDkqS+lixZMt0hSJKkATGV4w6TYUlSXzvvvPN0hyBJkgbEVI47TIYlSX2tXr16ukOQJEkDYirHHSbDkiRJkqSBYzIsSeprn332me4QtAlLckqSm5Nc1VO2fZLzklzT/m7XypPkhCQrk1yRZJ+ePgtb+2uSLOwp3zfJla3PCUnS7xiSpJltKscdJsOSpL6WL18+3SFo0/YZ4OBhZccC51fVfOD8tg1wCDC/fRYBJ0KX2AKLgScA+wGLe5LbE1vboX4Hr+cYkqQZbCrHHSbDkqS+Fi1aNN0haBNWVd8Abh1WfDhwavt+KnBET/lp1fk2MDvJTsBBwHlVdWtV3QacBxzc6ratqm9VVQGnDdvXSMeQJM1gUznuMBmWJPX1yU9+crpD0OZnx6paDdD+7tDK5wLX9bRb1cr6la8aobzfMSRJM9hUjjtMhiVJ0kyREcpqHOVjP2CyKMmyJMvWrFmzIV0lSZs4k2FJkjTVbmqPONP+3tzKVwG79rTbBbhhPeW7jFDe7xj3UVVLq2pBVS2YM2fOhE5KkrRpMRmWJPV1/fXXT3cI2vycCQytCL0QOKOn/Mi2qvT+wNr2iPO5wIFJtmsLZx0InNvq7kyyf1tF+shh+xrpGJKkGWwqxx0mw5KkvlxNWhOR5HPAt4Ddk6xKchTwXuDPklwD/FnbBjgHuBZYCXwSeCVAVd0KvBO4pH3e0coA/hr4VOvzA+CrrXy0Y0iSZrCpHHekW3xxZlqwYEEtW7ZsusOQpMHy9fv+u5unPp6JXiuSLK+qBRPaibSROe6QpGmQ+y7/EJiycYe/DEuSJEmSBs56k+Ekuya5MMnVSVYkeU0r3z7JeUmuaX+3a+VJckKSlUmuSLJPz74WtvbXJFk42jElSZIkSdqYxvLL8D3AG6rqMcD+wKuS7AEcC5xfVfOB89s2wCHA/PZZBJwIXfIMLAaeAOwHLB5KoCVJM9dJJ5003SFIkqQBMZXjjvUmw1W1uqoubd/vBK6me6H94cCprdmpwBHt++HAadX5NjC7vdLgIOC8qrq1qm4DzgMOntSzkSRNukWLFk13CJIkaUBM5bhjg+YMJ5kH/BFwMbBje6UB7e8Ordlc4Lqebqta2Wjlw4+xKMmyJMvWrFmzIeFJkjaCDFvYQpIkaWOZynHHmJPhJNsAXwFeW1V39Gs6Qln1Kb9vQdXSqlpQVQvmzJkz1vAkSZIkSRqzMSXDSbakS4Q/W1Wnt+Kb2uPPtL83t/JVwK493XcBbuhTLkmSJEnSlBrLatIBTgaurqoP9VSdCQytCL0QOKOn/Mi2qvT+wNr2GPW5wIFJtmsLZx3YyiRJM9ihhx463SFIkqQBMZXjjlljaPNE4CXAlUkua2VvAd4LfDHJUcBPgOe3unOAZwIrgZ8BLwOoqluTvBO4pLV7R1XdOilnIUnaaM4666zpDkGSJA2IqRx3rDcZrqpvMvJ8X4ADRmhfwKtG2dcpwCkbEqAkaXoddthhJsSSJGlKTOW4Y4NWk5YkDZ6zzz57ukOQJEkDYirHHSbDkiRJkqSBYzIsSZIkSRo4JsOSpL66pSCkyZfkR0muTHJZkmWtbPsk5yW5pv3drpUnyQlJVia5Isk+PftZ2Npfk2RhT/m+bf8rW9/R1kCRJM0QUznuMBmWJPW1dOnS6Q5Bm7enVdXeVbWgbR8LnF9V84Hz2zbAIcD89lkEnAhd8gwsBp4A7AcsHkqgW5tFPf0O3vinI0maiKkcd5gMS5L6Ovroo6c7BA2Ww4FT2/dTgSN6yk+rzreB2Ul2Ag4CzquqW6vqNuA84OBWt21Vfau96eK0nn1JkmaoqRx3mAxLkqTpUsB/JFmeZFEr27GqVgO0vzu08rnAdT19V/3/7N15vCR1fe//11uHRYFx2OTCsIkiKgQMjMuN4oYLKouK/oISRUMYjeEaY1yI0TBoTFCTuF2jDpEALriCDooLkcWYRGEQQeaCCAgygCwKA8Om4uf3R9WR5szZZs453X2mXs/Hox+n+7tUfaoYuj+f6qrqtm2i9pVjtEuSBEzhd4YlSZJmyVOq6vokDwfOTHLZBGPHut631qH9gQttivDFADvuuOPkEUuS1ht+MyxJmtCyZcsGHYLWU1V1ffv3JuA0mmt+b2xPcab9e1M7fCWwQ8/07YHrJ2nffoz20TEsrapFVbVo6623nonNkiRNQz/zDothSdKE9tlnn0GHoPVQkk2SbDbyHHgucAmwDBi5I/ThwFfb58uAV7V3lX4ysKo9jfpbwHOTbN7eOOu5wLfavjuSPLm9i/SrepYlSRpS/cw7PE1akgTnLh+3a+HChf68kmbDNsBp7a8dzQM+W1XfTHI+8IUkRwA/B17Wjj8DeAFwBXAX8BqAqvpVkncD57fj3lVVv2qf/zlwIvAQ4BvtQ5I0xPqZd1gMS5Kkvquqq4C9xmj/JbDfGO0F/MU4yzoBOGGM9uXAHtMOVpK0XvI0aUmSJElS51gMS5ImdOSRRw46BEmS1BH9zDsshiVJE1q6dOmgQ5AkSR3Rz7zDYliSNCHvJi1Jkvqln3mHxbAkaUI//OEPBx2CJEnqiH7mHRbDkiRJkqTOsRiWJE1o2223HXQIkiSpI/qZd1gMS5ImdP311w86BEmS1BH9zDsshiVJE1qyZMmgQ5AkSeuT5P7HKP3MO1JVfVvZ2lq0aFEtX7580GFI0vrp3Km9v+YZT2C6nxVJLqiqRdNaiDTLzDskqU/GKIJ/3wV9yzv8ZliSJEmS1DkWw5IkSZKkzpk36AAkSX0yxdOiR/O0UUmS1C/9zDv6/s1wkv2T/CTJFUmO7vf6JUlSd5h3SNKQmOCmWYPS12+GkzwY+CjwHGAlcH6SZVX1//oZhyR1xjp+G9xr0aJF076RhTQI5h2SNPf0M+/o92nSTwSuqKqrAJJ8DjgY8ENJktZGb5H79EVjt0sy75CkQRmib4DH0+9ieCFwbc/rlcCT+hyDJA3WeIXsROOmujxJvcw7JGkmzIHCdl30uxgeay8+4DvwJIuBxe3L1Ul+MutRTc1WwC2DDmIOc/9Nj/tvetx/07NVkunuv51mJBJp7cxG3uH7yZrcJ2Nzv6zJfbIm98ma+pZ39LsYXgns0PN6e+D63gFVtRRY2s+gpiLJ8qn8cLPG5v6bHvff9Lj/psf9pzlsxvMO/39Yk/tkbO6XNblP1uQ+WVM/90m/7yZ9PrBrkkck2RA4FFjW5xgkSVI3mHdIksbV12+Gq+q3SY4CvgU8GDihqlb0MwZJktQN5h2SpIn0+zRpquoM4Ix+r3cGDN2p23OM+2963H/T4/6bHvef5qxZyDv8/2FN7pOxuV/W5D5Zk/tkTX3bJ/G3IyVJkiRJXdPva4YlSZIkSRq4ThbDSfZP8pMkVyQ5eoz+nZJ8J8nFSc5Jsn1P33uTXNI+/rin/TPtMi9JckKSDfq1Pf02G/uvp/8jSVbP9jYM0iz9+0uS9yS5PMmlSd7Qr+3pt1naf/sl+WGSHyX5XpJH9Wt7+q19f7opySXj9CfJh9v9e3GSvXv6Dk/y0/ZxeE/7Pkl+3M75cLKe/hih5qxZet94Vvu+cUmSk5LMa9vf0r6X/Kjtuy/JFm3f1e3/Kz9KMvAfCO/zfnlYktOTXJRkRZLX9MwZ871lEIZon9zX8+9ooDd96/M+2TzJae2yzkuyx1Tj6Kch2idD8Z6SPuYWSbZIcmY7/swkm0+2jglVVaceNDfQuBLYBdgQuAh43KgxXwQOb58/C/hU+/yFwJk011pvAiwH5rd9L6D5PcMApwB/PuhtnUv7r+1fBHwKWD3o7Zxr+w94DXAy8KD29cMHva1zbP9dDjy2ff564MRBb+ss7sOnAXsDl4zT/wLgG+172ZOBH7TtWwBXtX83b59v3vadB/zvds43gOcPejt9+Bh5zMb7Bs2XCdcCj27HvQs4Yox1Hwic1fP6amCrQe+TQewX4O3Ae9vnWwO/atc77ntLV/dJ+3oocqEB7JP3A8e0zx8DfGeqcXRtn7Svr2YI3lPoY24BvA84un1+dM//Q2OuY7JHF78ZfiJwRVVdVVW/Bj4HHDxqzOOA77TPz+7pfxxwblX9tqrupPnHvz80N+ioFs1/vO1ZP83K/kvyYJr/2d86y/EP2qzsP+DPgXdV1e8AquqmWdyGQZqt/Vc0H0YAD2PU75CuT6rquzQJ13gOBk5u386+DyxIsi3wPODMqvpVVd1K82G+f9s3v6r+p33/Oxl40SxvhrQ2ZuN9Y0vg3qq6vB13JnDIGOt+Oc0B8mHU7/1SwGbttzub0rwP/ZZx3ltmdlOnbFj2yTDp9z75/bKq6jJg5yTbTDGOfhmWfTI0+pxbHAyc1D4/aVT7WOuYUBeL4YU0R15GrGzbel3E/f8AX0zzRrVl2/78JA9NshXwTGCH3olpTo9+JfDNWYh9GMzW/jsKWFZVN8xa5MNhtvbfI4E/TrI8yTeS7DprWzBYs7X//gw4I8lKmv9/j5ul+OeC8fbxRO0rx2iXhsVsvG/cAmyQZFE756WsmQ88lCbJ/XJPcwHfTnJBksXT3rLp6fd++b/AY2kONv4Y+Mv2AO5U4uiXYdknABu3n+nfTzLIA4z93icXAS8BSPJEYCeaL5i6/O9kvH0Cw/WeMpGZzC22GakX2r8Pn2QdE+piMTzWtWyjb6n9ZuDpSS4Eng5cB/y2qr5N8/MM/01zpPd/WPMI3r8C362q/5zRqIfHjO+/JNsBLwM+MmtRD4/Z+ve3EXBPVS0CjgdOmIXYh8Fs7b+/Al5QVdsD/w78yyzEPleMt4/Xtl0aFjP+vtF+U3Eo8IEk5wF3sGY+cCDwX1XV+23JU6pqb+D5wF8kedr0Nm1a+r1fngf8CNgOeDzwf5PMn2Ic/TIs+wRgx/Yz/RXAB5M8coa2cW31e58cB2ye5EfA/wEubPu6/O9kvH0Cw/WeMpF+5Bbr9G+ki8XwSh549HZ7Rp0SWVXXV9VLquoPgb9t21a1f99TVY+vqufQ7PSfjsxLcgzNNR9vmt1NGKjZ2H9/CDwKuCLJ1cBDk1wx61syGLP1728l93/7cBqw5+xtwkDN+P5LsjWwV1X9oF3E54E/muXtGGbj7eOJ2rcfo10aFrPyvtuevrdvVT0R+C49+UDrUEadIl1V17d/b6J5r37izGziOun3fnkNcGp7CuMVwM9orn+cNI4+GpZ90vtv5SrgHJpcaRD6uk+q6vaqek1VPR54FU1e/bOpxNFHw7JPhu09ZSIzmVvcOHL6c/t35NLAdfs3UgO+4LrfD5oL1q8CHsH9F73vPmrMVtx/I6L30FyLCc0F81u2z/cELgHmta//jOYoz0MGvY1zcf+Nmj8UN42YS/uP5qjhn7bPnwGcP+htnSv7r33cwv03rTgC+PKgt3WW9+POjH+TixfywBtQnNe2b0Hz4bt5+/gZsEXbd347duQmFy8Y9Db68DHymMX33Ye3fzeiuZ7vWT3LexjN9XOb9LRtAmzW8/y/gf27sl+AjwFL2ufb0HxTttVE7y0d3iebAxv1rO+nDO5mUf3eJwu4/yZiR9JcAzqlODq4T4btPWVn+pBb0NxjqPcGWu+baB2Txj2oHTbIB83dxi6nuRPc37Zt7wIOap+/tH3juRz4N+5/Q9oY+H/t4/vA43uW+dt2eT9qH3836O2cS/tv1PLX22J4Fv/9LQC+TnPN0f/QfNM58G2dQ/vvxe2+u4jmCPwug97OWdx/pwA3AL+hOYp6BPA64HVtf4CPtvv3x8Cinrl/ClzRPl7T076I5gP9Sppr4DLo7fTho/cxS+8b7wcuBX4CvHHU+l4NfG5U2y7te8xFwIqROLqyX2hOBf52+75yCfAnPX1jvrd0dZ/QnJ008pn0Y8a4U/l6vE/+d7usy4BT6bmz+FhxdHmfMETvKfQxt6C52dh32n3yHe4vnsddx0SPkYVKkiRJktQZXbxmWJIkSZLUcRbDkiRJkqTOsRiWJEmSJHWOxbAkSZIkqXMshiVJkiRJnWMxLEmSJEnqHIthSZIkSVLnWAxLkiRJkjrHYlgaYkmOSrI8yb1JTpzC+L9K8oskq5KckGSjnr6dk5yd5K4klyV59lTnSpKk9Z95h7rGYlgabtcDfw+cMNnAJM8Djgb2A3YGdgGO7RlyCnAhsCXwt8CXkmw9xbmSJGn9Z96hTrEYVickuTrJW5JcnOTOJJ9Msk2SbyS5I8l/JNm8Z/yTk/x3ktuSXJTkGT19r0lyaTvvqiSv7el7RpKVSf46yU1JbkjymnWNu6pOraqvAL+cwvDDgU9W1YqquhV4N/DqNq5HA3sDx1TV3VX1ZeDHwCGTzZUkSWvHvMO8Q3ODxbC65BDgOcCjgQOBbwBvB7ai+X/hDQBJFgJfpzkyugXwZuDLI0czgZuAA4D5wGuADyTZu2c9/wt4GLAQOAL4aO8HXq8kRyf52gxt3+7ART2vLwK2SbJl23dVVd0xqn/3KcyVJElrz7zDvENDzmJYXfKRqrqxqq4D/hP4QVVdWFX3AqcBf9iO+xPgjKo6o6p+V1VnAsuBFwBU1der6spqnAt8G9i3Zz2/Ad5VVb+pqjOA1cBuYwVUVcdV1QEztH2bAqt6Xo8832yMvpH+zaYwV5IkrT3zjgcy79DQsRhWl9zY8/zuMV5v2j7fCXhZe6rSbUluA54KbAuQ5PlJvp/kV23fC2iO8o74ZVX9tuf1XT3Lnk2raY4ajxh5fscYfSP9I0dsJ5orSZLWnnnHA5l3aOhYDEtruhb4VFUt6HlsUlXHtXc6/DLwT8A2VbUAOAPIIANurQD26nm9F3BjVf2y7dslyWaj+ldMYa4kSZo95h3mHRoQi2FpTZ8GDkzyvCQPTrJxe4OK7YENgY2Am4HfJnk+8NzZCiTJvCQbAw8GRmKZN87wk4EjkjyuvVboHcCJAFV1OfAj4Jh2GS8G9qT5gJ1wriRJmlXmHeYdGhCLYWmUqroWOJjmJhc30xyxfQvwoPZGEG8AvgDcCrwCWLau60ry9iTfmGDIO2hOpTqa5pqiu9s2kuyYZHWSHdu4vwm8DzgbuKZ9HNOzrEOBRW3cxwEvraqbpzhXkiTNAvMO8w4NTqpq0DFIkiRJktRXfjMsSZIkSeoci2FJkiRJUudYDEuSJEmSOsdiWJIkSZLUORbDkiRJkqTOsRiWJEmSJHWOxbA0TUmWJPn0oOOQJEnrP/MOaeZYDEsT6McHTpJXJLkmyZ1JvpJkiwnGPj7JBUnuav8+vqcvSd6b5Jft431J0tO/NMlPkvwuyatnc5skSdLaW8/yjnHnSsPCYlgaoCS7A58AXglsA9wF/Os4YzcEvgp8GtgcOAn4atsOsBh4EbAXsCdwAPDankVcBLwe+OGMb4gkSRp6/co7pjBXGgoWwxKQ5G1JrktyR/vt6X5J9gfeDvxxktVJLmrHPiLJue3YM4GtprHqw4DTq+q7VbUaeCfwkiSbjTH2GcA84INVdW9VfRgI8Ky2/3Dgn6tqZVVdB/wz8OqRyVX10ar6DnDPNOKVJEnT1IG8Y7K50lCwGFbnJdkNOAp4QlVtBjwPuLqqvgn8A/D5qtq0qvZqp3wWuIDmw+jdNB8GEy3/tiRPHad7d5pvbAGoqiuBXwOPHmfsxVVVPW0Xt+1rLKt9vjuSJGlodCTvmGyuNBTmDToAaQjcB2wEPC7JzVV19XgDk+wIPAF4dlXdC3w3yekTLbyqFkzQvSmwalTbKmCsI7STjR3dvwrYNElGfRhJkqTBWe/zjrVcjzQwfjOszquqK4A3AkuAm5J8Lsl24wzfDri1qu7sabtmGqtfDcwf1TYfuGMdxo7unw+sthCWJGl4dCTvWJv1SANjMSwBVfXZqnoqsBNQwHtHukYNvQHYPMkmPW07TmPVK2huPAFAkl1ojhZfPs7YPXvv1Ehzw4oVYy2rfb4CSZI0VDqQd0w2VxoKFsPqvCS7JXlWko1obi51N80pTAA3AjsneRBAVV0DLAeOTbJhe03OgdNY/WeAA5Ps237QvQs4tarGOnJ6ThvXG5JslOSotv2s9u/JwJuSLGyPMP81cGLPdm6YZGOaG1hskGTjke2SJEn90ZG8Y7K50lAwEZaaI6LHAbcAvwAeTnM3R4Avtn9/mWTkJ4leATwJ+BVwDM2HwbjaO0LuO1ZfVa0AXkfz4XQTzbU0r++Z+40kb2/H/prmJwxeBdwG/CnworYdmp9KOB34MXAJ8PW2bcS3aT5w/whY2j5/2kSxS5KkGbfe5x1TmCsNhXg5oSRJkiSpa/xmWJIkSZLUORbDkiRJkqTOsRiWJEmSJHWOxbAkSZIkqXMshiVuSyHkAAAgAElEQVRJkiRJnWMxLEmSJEnqHIthCUhyTpJ72t/mW53kJz19eyVZkeSWJH/V075Bkh8k2WGa694vyWVJ7kpydpKdJhj7R0nOS3JHkouTPLWnL0n+NsnPk9ye5HNJ5vf0L0zy1SS/SrIyyeumE7ckSVo3g8o7kmyY5EtJrk5SSZ4xyfgtkpyW5M4k1yR5xaj+V7Ttdyb5SpItpjpXGgYWw9L9jqqqTdvHbj3t/wi8GdgLeEeS/9W2vwn4clVdu64rTLIVcCrwTmALYDnw+XHGbgEsA94PLADeB5yeZPN2yKuAVwJPAbYDHgJ8pGcRnwZ+BmwDvBD4hyTPXNfYJUnStPQ972h9D/gT4BdTGPtR4Nc0ucNhwMeS7A7Q/v0ETe6xDXAX8K9TmSsNC4thaXKPAM6qquuAnwI7JtkROAT4wDSX/RJgRVV9saruAZYAeyV5zBhj/wi4sR17X1V9Gri5XQbAgcAnq+raqloNvBf44yQPTbIp8AzgPVX1m6q6CPgS8KfTjF+SJM2sWcs7qurXVfXBqvoecN9EY5Ns0q7znVW1up2zjKb4habAPb2qvtvmHe8EXpJksynMlYaCxbB0v39sT0n6r1GnDV0CPDfJ9sDOwJXAh4G3VtVvJltoezrzeKcG7Q5cNPKiqu5slz/WkdO0j9Fte4zTH2AjYNee9tH9eyBJkgZhEHnH2ng0cF9VXd7TdhH35yijc5grab4JfvQU5kpDwWJYarwN2AVYCCylOf34kW3fm4E/pzmi+Vc0pyHfAVzVXoN7bpKXjbfgqtqzqj47TvemwKpRbauAzcYY+9/Adkle3l43dDjwSOChbf83gD9LsnOSh7XbBPDQqroD+C/gnUk2TrI3zRHbhyJJkvptUHnH2pgsR5mof23yG2lg5g06AGkYVNUPel6elOTlwAuAj1TVNe1zkjyUpih9Hs31uJ8Hvg5ckuQ7VfWrtVz1amD+qLb5NB96o2P8ZZKDgX+iuQ7nW8B/ACvbIScAOwDn0Py//c80p06P9B/WzrsWuAr4DPC4tYxXkiRN0wDzjrUxWY4yUf/vJpkrDQW/GZbGVqx5SjLA3wH/VlU3An8ALK+qVTQF56PWYT0raG6QAfz++pxHtu1rBlV1blU9oaq2oLnuZjfgvLbvd1V1TFXtXFXbt8u4rn1QVddU1QFVtXVVPQnYcmSuJEkaqH7lHWvjcmBekl172vbi/hxldA6zC83lWZdPYa40FCyG1XlJFiR5Xnv68LwkhwFPo/nmtXfc42huQvWxtulnwLOSbENzXe7P12H1pwF7JDkkycY0H3oXV9Vl48T6h+0p0vNpviFeWVXfavu2SPLI9ieWHgf8C/Cuqvpd2//Y9qYWGyb5E+C57RhJktQnA847SLJRm3MAbNjGsUYh3t7H5FTgXUk2SfIU4GDgU+2QzwAHJtm3PZj/LuDUqrpjCnOloWAxLMEGwN/T3Jn5FuD/AC+qqp+MGvdR4C+rauTui38DvIHmKOc/VNWYP1GQ5rcCDxurr6puprl29z3ArcCTgEN75n48ycd7pry1jfFaYFvgxT19WwFnAHfSXD98QlUt7el/Hs3p0bcCrwP2b9cvSZL6Z2B5R+snwN001yt/q32+Uzv37Um+0TP29TQ/1XgTcArw51W1AqD9+zqaovgmmuuBXz+VudKwSFUNOgZJkiRJkvrKb4YlSZIkSZ1jMSxJkiRJ6hyLYUmSJElS51gMS5IkSZI6x2JYkiRJktQ5FsOSJEmSpM6xGFbntD82/8kk1yS5I8mFSZ7f079zkkqyuufxzp7+tyS5JcklSfboaX9Kkq9MM7ZnJjk7yaokV09h/H5JLktyVztvp1HbeUKS25P8IsmbpjpXkiTNDPOOyedKg2IxrC6aB1wLPB14GPBO4AtJdh41bkFVbdo+3g2QZFvgCGAX4OPAcW37POCfgTdOM7Y7gROAt0w2MMlWwKlt/FsAy4HP9wxZAuwK7AQ8E3hrkv2nOFeSJM0M8w7zDg0pi2F1TlXdWVVLqurqqvpdVX0N+BmwzxSm7whcWFW3A/9B8+EEzYfRsqq6epqxnVdVnwKumsLwlwArquqLVXUPzYfQXkke0/a/Cnh3Vd1aVZcCxwOvnuJcSZI0A8w7pjRXGgiLYXVekm2ARwMrRnVdk2Rlkn9vj2gCXAH8QZIFwLOBFUl2AA4F/mkK63pqkttmKPTdgYtGXlTVncCVwO5JNge26+1vn+8+2dwZik2SJI3BvMO8Q8PDYlidlmQD4DPASVV1Wdt8C/AEmtN89gE2a8dQVb8E3gOcBbwQeDPwIeBtwIuTnJvkq0m2H2t9VfW9qlowQ+FvCqwa1baqjXfTntej+yabK0mSZoF5x5hzpYGZN+gApEFJ8iDgU8CvgaNG2qtqNc21LAA3JjkKuCHJ/Kq6vapOAU5pl/FC4F7gQu4/AnoQzdHaQ2d5E1YD80e1zQfuaPtGXt8zqm+yuZIkaYaZd5h3aPj4zbA6KUmATwLbAIdU1W8mGF4j00Yt4yHAPwB/TXPDiGvba3rOB/ac8aDXtALYqyeeTYBH0lyTcytwQ29/+3zFZHNnOWZJkjrHvMO8Q8PJYlhd9THgscCBVXV3b0eSJyXZLcmDkmwJfBg4p6pGn97zDuDEqroe+DmwW3sd0DOZ2o0o1tCuc2Ngg+ZlNk6y4TjDTwP2SHJIO+fvgIt7Trs6GXhHks3bG1QcCZw4xbmSJGnmmHeYd2gIWQyrc9rftXst8HjgFz2/6XdYO2QX4Js0p+5cQnM60stHLWM34LnARwCq6gaanztYAbwB+Jtx1r1vktVj9bWeBtwNnEFzB8m7gW/3zF8xEmdV3QwcQnMt0a3Ak3jgKVLH0Nyc4hrgXOD9VfXNKc6VJEkzwLzDvEPDK1U1+ShJkiRJktYjfjMsSZIkSeoci2FJkiRJUudYDEuSJEmSOsdiWJIkSZLUORbDkiRJkqTOsRiWJEmSJHWOxbAkSZIkqXMshtVJSc5Jck/PD9//ZFT/K5Jck+TOJF9JskVP3weT3Jrkf5Is7Gk/LMmHphnX/5fkv5PcleScKYyfKM4tkpzW9l2T5BVTnStJkmaOeYd5h4aTxbC67Kiq2rR97DbSmGR34BPAK4FtgLuAf237ngjsA/wv4HvA37TtDwPeDPzdNGP6FfBB4LjJBk4UZ+ujwK/bvsOAj7VzpjJXkiTNLPMO8w4NmXmDDkAaQocBp1fVdwGSvBO4NMlmwCOA71XVvUm+A7yhnfMe4P1VtWo6K66q/2jX+WfTjPN3wCHAHlW1GvhekmU0H0JHTzS3qu6YzjZIkqS1Yt4hDYjfDKvL/jHJLUn+K8kzetp3By4aeVFVV9Ic6Xw0sALYN8lDgP2AFUkWAbtV1WcnW2F7itDFMxT/RHE+Grivqi7vGX9RO2eyuZIkaeaZd4w9VxoYi2F11duAXYCFwFLg9CSPbPs2BUYfaV0FbFZVlwBfBr4P7Ai8F/gQ8IYkb0jy3SSfSbJgrJVW1Weras8Z2oZx45ykb7K5kiRpZpl3mHdoCFkMq5Oq6gdVdUdV3VtVJwH/Bbyg7V4NzB81ZT5wRzv3A1W1V1X9MfDHwH/S/L+0mOao7aU0pwTNtoninHAbptAvSZJmiHmHeYeGk8Ww1Cgg7fMVwF4jHUl2ATYCek/9Ick2wGuBdwF7ABdX1W+A84GZOgo7kYnivByYl2TXnvF7tXMmmytJkmaXeYd5h4aAxbA6J8mCJM9LsnGSeUkOA54GfKsd8hngwCT7JtmE5kPn1DFu8PAvwDFVdRfwM+AJSTYFngFctY6xPTjJxjQ3t3tQG+MG4wwfN86quhM4FXhXkk2SPAU4GPjUWm6jJEmaBvOOtdpGqa8shtVFGwB/D9wM3AL8H+BFVfUTgKpaAbyO5o37JprrWV7fu4AkzwQWVNVp7ZzzgK8D1wLPZJyfKGh/E3DFWH2tVwJ3Ax8D9m2fH98zf3WSfacY5+uBh7R9pwB/3s6Z0jZKkqQZYd5h3qEhlaoadAySJEmSJPWV3wxLkiRJkjrHYliSJEmS1DkWw5IkSZKkzrEYliRJkiR1jsWwJEmSJKlzLIYlSZIkSZ1jMaxOan83r/dxX5KPtH07J6lR/e/smfuWJLckuSTJHj3tT0nylWnG9cwkZydZleTqKYzfL8llSe5q5+3U07dRkhOS3J7kF0neNNW5kiRp5ph3mHdoOFkMq5OqatORB7ANzY/Mf3HUsAU9494NkGRb4AhgF+DjtD9yn2Qe8M/AG6cZ2p3ACcBbJhuYZCvgVOCdwBbAcuDzPUOWALsCOwHPBN6aZP8pzpUkSTPEvMO8Q8PJYliClwI3Af85hbE7AhdW1e3Af9B8OEHzYbSsqq6eTiBVdV5VfQq4agrDXwKsqKovVtU9NB9CeyV5TNv/KuDdVXVrVV0KHA+8eopzJUnS7DDvMO/QkLAYluBw4OSqqlHt1yRZmeTf2yOaAFcAf5BkAfBsYEWSHYBDgX+abEVJnprkthmKe3fgopEXVXUncCWwe5LNge16+9vnu082d4ZikyRJYzPvMO/QkLAYVqcl2RF4OnBST/MtwBNoTvPZB9gM+AxAVf0SeA9wFvBC4M3Ah4C3AS9Ocm6SrybZfqz1VdX3qmrBDIW/KbBqVNuqNt5Ne16P7ptsriRJmgXmHWPOlQZm3qADkAbsVcD3qupnIw1VtZrmWhaAG5McBdyQZH5V3V5VpwCnACR5IXAvcCH3HwE9iOZo7aGzHPtqYP6otvnAHW3fyOt7RvVNNleSJM0O844150oD4zfD6rpX8cCjs2MZOY0pvY1JHgL8A/DXNDeMuLa9pud8YM8ZjnMsK4C9euLZBHgkzTU5twI39Pa3z1dMNneWY5YkqcvMOzDv0PCwGFZnJfkjYCGj7uaY5ElJdkvyoCRbAh8Gzqmq0af3vAM4saquB34O7JZkG5o7KE7lRhRjxfSgJBsDGzQvs3GSDccZfhqwR5JD2jl/B1xcVZe1/ScD70iyeXuDiiOBE6c4V5IkzSDzDvMODR+LYXXZ4cCpVTX6FJ1dgG/SnLpzCc3pSC/vHZBkN+C5wEcAquoGmp87WAG8AfibsVaYZN8kq8fqaz2N5ucWzqC5g+TdwLd75q9Icli7zpuBQ2iuJboVeBIPPEXqGJqbU1wDnAu8v6q+OcW5kiRpZpl3mHdoyGTNG9lJkiRJkrR+85thSZIkSVLnWAxLkiRJkjrHYliSJEmS1DkWw5IkSZKkzrEYliRJkiR1jsWwJEmSJKlzLIYlSZIkSZ1jMaxOSvLYJGclWZXkiiQv7unbOUklWd3zeGdP/1uS3JLkkiR79LQ/JclXphnXM5Oc3cZ19RTG75fksiR3tfN26unbKMkJSW5P8oskb5rqXEmSNHPMO8w7NJwshtU5SeYBXwW+BmwBLAY+neTRo4YuqKpN28e727nbAkcAuwAfB47rWeY/A2+cZnh3AicAb5nCdmwFnAq8s92O5cDne4YsAXYFdgKeCbw1yf5TnCtJkmaAeYd5h4aXxbC66DHAdsAHquq+qjoL+C/glVOYuyNwYVXdDvwHzYcTNB9Gy6rq6ukEVlXnVdWngKumMPwlwIqq+mJV3UPzIbRXkse0/a8C3l1Vt1bVpcDxwKunOFeSJM0M8w7zDg0pi2F1UcZp22NU2zVJVib59/aIJsAVwB8kWQA8G1iRZAfgUOCfJl1x8tQkt00j9l67AxeNvKiqO4Ergd2TbE7zwXtRz/iL2jkTzp2h2CRJUsO8w7xDQ8piWF10GXAT8JYkGyR5LvB04KFt/y3AE2hO89kH2Az4DEBV/RJ4D3AW8ELgzcCHgLcBL05ybpKvJtl+rBVX1feqasEMbcemwKpRbavaeDfteT26b7K5kiRp5ph3mHdoSM0bdABSv1XVb5K8CPgIzYfJcuALwL1t/+q2DeDGJEcBNySZX1W3V9UpwCkASV7YzruQ+4+AHkRztPbQWd6U1cD8UW3zgTvavpHX94zqm2yuJEmaIeYdk86VBsZvhtVJVXVxVT29qrasqufRXINz3njD278POM0pyUOAfwD+muaGEde21/ScD+w5O5E/wApgr554NgEeSXNNzq3ADb397fMVk82d5ZglSeoc8w7zDg0ni2F1UpI9k2yc5KFJ3gxsC5zY9j0pyW5JHpRkS+DDwDlVNfr0nncAJ1bV9cDPgd2SbENzB8Wp3IhirLgelGRjYIPmZTZOsuE4w08D9khySDvn74CLq+qytv9k4B1JNm9vUHHkyDZOYa4kSZoh5h3mHRpOFsPqqlfSHMG8CdgPeE5V3dv27QJ8k+bUnUtoTkd6ee/kJLsBz6U55YmquoHm5w5WAG8A/maslSbZN8nqsfpaTwPuBs6guYPk3cC3e+avSHJYu86bgUNoriW6FXgSDzxF6hiam1NcA5wLvL+qvjnFuZIkaeaYd5h3aAilqiYfJUmSJEnSesRvhiVJkiRJnWMxLEmSJEnqHIthSZIkSVLnWAxLkiRJkjrHYliSJEmS1DkWw9I0JTknyZ8NOg5JkrT+M++QZo7FsOakJFcnefag4xg2SbZNsizJ9Ukqyc6TjN85ydlJ7kpy2eh9muSvkvwiyaokJyTZaKpzJUlaX5h3jM28Q3OdxbDWS0nmDTqGAfkd8E2aH7afilOAC4Etgb8FvpRka4AkzwOOBvYDdgZ2AY6dylxJkrrEvMO8Q3OTxbDmnCSfAnYETk+yOslb26OFleSIJD8HzkryjCQrR839/ZHdJA9KcnSSK5P8MskXkmwxwXoPTvKjJLe3c/YfY8wjk5zVLu+WJJ9JsqCn/21JrktyR5KfJNmvbX9ikuXtsm9M8i/rsm+q6saq+lfg/MnGJnk0sDdwTFXdXVVfBn7M/R9ohwOfrKoVVXUr8G7g1VOcK0nSesG8Y3zmHZrrLIY151TVK4GfAwdW1aZV9b6e7qcDjwWeN4VFvQF4UTtnO+BW4KNjDUzyROBk4C3AAuBpwNVjDQX+sV3eY4EdgCXtMnYDjgKeUFWbtTGOLONDwIeqaj7wSOAL4wWd5LYkT53C9k1md+Cqqrqjp+2itn2k/6JRfdsk2XIKcyVJWi+Yd5h3aP3V1VM6tP5aUlV3AiSZbOxrgaOqamU7fgnw8ySvrKrfjhp7BHBCVZ3Zvr5urAVW1RXAFe3Lm9sjrce0r+8DNgIel+Tmqrq6Z+pvgEcl2aqqbgG+P17QVbVgvL61tCmwalTbKmDhOP0jzzebwlxJkrrAvGPqzDs0dPxmWOuba9di7E7Aae0Rz9uAS2k+OLYZY+wOwJWTLTDJw5N8rj0l6Xbg08BW8PsPrDfSHLG9qR23XTv1CODRwGVJzk9ywFpsx7paDcwf1TYfuGOc/pHnd0xhriRJXWDeMXXmHRo6FsOaq2oK7XcCDx15keTBQO+NFq4Fnl9VC3oeG1fVWEdfr6U5jWgy/9jGsGd76tGf0JzC1ARX9dmqeirNB2IB723bf1pVLwce3rZ9KckmU1jfdKwAdkmyWU/bXm37SP9eo/purKpfTmGuJEnrE/OO6TPv0NCxGNZcdSPNXQYncjmwcZIXJtkAeAfN6UIjPg68J8lOAEm2TnLwOMv6JPCaJPu1N8BYmOQxY4zbjObo5W1JFtJc60O7/N2SPCvNzwTcA9xNc0SYJH+SZOuq+h1wWzvlvkm2b0xJNu7Zzo3a12uoqsuBHwHHJNk4yYuBPYEvt0NOBo5I8rgkm9PsvxOnOFeSpPWJecc4zDs0l1kMa676R+Ad7alGbx5rQFWtAl4P/BvNtTZ3Ar13efwQsAz4dpI7aK6XedI4yzoPeA3wAZprVM6lOco62rE0dztcBXwdOLWnbyPgOOAW4Bc0R2Pf3vbtD6xIsrqN69CqumesWNLcyXLfsfpad9N8MAJc1r4emfvxJB/vGXsosIjmJh7HAS+tqpvbbf4m8D7gbOCa9nHMVOZKkrSeMe8Yn3mH5qxUjXfWhyRJkiRJ6ye/GZYkSZIkdY7FsCRJkiSpcyyGJUmSJEmdYzEsSZIkSeoci2FJkiRJUudYDEuSJEmSOsdiWJIkSZLUORbDkiRJkqTOsRiWJEmSJHWOxbAkSZIkqXMshiVJkiRJnWMxLEmSJEnqnHmDDmAiW221Ve28886DDkOSNE0XXHDBLVW19aDjkCZi3iFJ64ep5h1DXQzvvPPOLF++fNaWf8EFF7DPPvvM2vIlSY0k1ww6Bmky5h2StH6Yat7R6dOkFy1aNOgQJElSR5h3SNJw6XQxLEmSJEnqJothSZIkSVLndLoYPuaYYwYdgiRJ6gjzDkkaLp0uhpcsWTLoECRJUkeYd0jScOl0MbzddtsNOgRJktQR5h2SNFyG+qeVZsKxxx77gNe9pyjdcMMN/Q5HkiStzy7LA18/pn7/1LxDkoZLp78ZliRJkiR1U6eL4b333nvQIUiSpI4w75Ck4dLpYviCCy4YdAiSJKkjzDskabh0uhhevHjxoEOQJEkdYd4hScOl08Xw8ccfP+gQJElSR5h3SNJw6XQxLEmSJEnqJothSZIkSVLndLoYvu666wYdgiRJ6gjzDkkaLp0uhr2royRJ6hfzDkkaLp0uhg866KBBhyBJkjrCvEOShkuni2FJkiRJUjdZDEuSpDkjyYOTXJjka+3rRyT5QZKfJvl8kg3b9o3a11e0/TsPMm5J0vDpdDH8iU98YtAhSJKktfOXwKU9r98LfKCqdgVuBY5o248Abq2qRwEfaMcNlHmHJA2XThfDixcvHnQIkiRpipJsD7wQ+Lf2dYBnAV9qh5wEvKh9fnD7mrZ/v3b8wJh3SNJw6XQxPODPREmStHY+CLwV+F37ekvgtqr6bft6JbCwfb4QuBag7V/Vjn+AJIuTLE+y/Oabb57N2M07JGnIdLoYliRJc0OSA4Cbqqr394nGqi5rCn33N1QtrapFVbVo6623noFIJUlzxbSLYW9kIUmS+uApwEFJrgY+R3N69AeBBUnmtWO2B65vn68EdgBo+x8G/KqfAUuShttMfDM8Z29kccABBww6BEmSNAVV9TdVtX1V7QwcCpxVVYcBZwMvbYcdDny1fb6sfU3bf1ZVrfHNcD+Zd0jScJlWMTzXb2Rx+umnD3L1kiRp+t4GvCnJFTTXBH+ybf8ksGXb/ibg6AHF93vmHZI0XKb7zfCcvpHFgQceOKvLlyRJM6+qzqmqA9rnV1XVE6vqUVX1sqq6t22/p339qLb/qsFGbd4hScNmnYvh9eFGFl/72tdmdfmSJEkjzDskabjMm3zIuEZuZPECYGNgPj03smi//R3rRhYrvZGFJEmSJGmQ1vmb4fXhRhaSJEmSpG6ajd8ZnjM3srAWlyRJ/WLeIUnDZUaK4bl6I4ulS5cOOgRJktQR5h2SNFxm45vhOeO1r33toEOQJEkdYd4hScOl08WwJEmSJKmbLIYlSZIkSZ3T6WJ42bJlgw5BkiR1hHmHJA2XThfD++yzz6BDkCRJHWHeIUnDpdPF8MKFCwcdgiRJ6gjzDkkaLp0uhiVJkiRJ3WQxLEmSJEnqnE4Xw0ceeeSgQ5AkSR1h3iFJw6XTxfDSpUsHHYIkSeoI8w5JGi6dLoa9q6MkSeoX8w5JGi6dLoZ/+MMfDjoESZLUEeYdkjRcOl0MS5IkSZK6qdPF8LbbbjvoECRJUkeYd0jScOl0MXz99dcPOgRJktQR5h2SNFw6XQwvWbJk0CFIkqSOMO+QpOHS6WL42GOPHXQIkiSpI8w7JGm4dLoYliRJkiR1k8WwJEmSJKlzOl0ML1++fNAhSJKkjjDvkKTh0uliWJIkSZLUTZ0uhhctWjToECRJ0hQk2TjJeUkuSrIiybFt+yOS/CDJT5N8PsmGbftG7esr2v6dBxk/mHdI0rDpdDEsSZLmjHuBZ1XVXsDjgf2TPBl4L/CBqtoVuBU4oh1/BHBrVT0K+EA7TpKk37MYliRJQ68aq9uXG7SPAp4FfKltPwl4Ufv84PY1bf9+SdKncCVJc0Cni+Fjjjlm0CFIkqQpSvLgJD8CbgLOBK4Ebquq37ZDVgIL2+cLgWsB2v5VwJb9jfiBzDskabisczG8Ply7s2TJkkGHIEmSpqiq7quqxwPbA08EHjvWsPbvWN8C1+iGJIuTLE+y/Oabb565YMdg3iFJw2U63wzP+Wt3tttuu0GHIEmS1lJV3QacAzwZWJBkXtu1PXB9+3wlsANA2/8w4FdjLGtpVS2qqkVbb731rMZt3iFJw2Wdi+H14dqdG264YZCrlyRJU5Rk6yQL2ucPAZ4NXAqcDby0HXY48NX2+bL2NW3/WVW1xjfD/WTeIUnDZVrXDM/GtTv9PF1JkiTNGdsCZye5GDgfOLOqvga8DXhTkito8opPtuM/CWzZtr8JOHoAMUuShti8yYeMr6ruAx7fHqk9jRm4dqeqlgJLARYtWjSrR3D33nvv2Vy8JEmaIVV1MfCHY7RfRXP98Oj2e4CX9SG0KTPvkKThMiN3k57Ja3f66YILLhjk6iVJUoeYd0jScJnO3aTn/LU7ixcvHuTqJUlSh5h3SNJwmc43w3P+2p3jjz9+0CFIkqSOMO+QpOGyztcMrw/X7kiSJEmSumlGrhmWJEmSJGku6XQxfN111w06BEmS1BHmHZI0XDpdDHtXR0mS1C/mHZI0XDpdDB900EGDDkGSJHWEeYckDZdOF8OSJEmSpG6yGJYkSZIkdU6ni+FPfOITgw5BkiR1hHmHJA2XThfDixcvHnQIkiSpI8w7JGm4dLoYTjLoECRJUkeYd0jScOl0MSxJkiRJ6iaLYUmSJElS53S6GD7ggAMGHYIkSeoI8w5JGi6dLoZPP/30QYcgSZI6wrxDkoZLp4vhAw88cNAhSJKkjjDvkKTh0uli+Gtf+9qgQ5AkSR1h3iFJw6XTxbAkSZIkqZsshiVJkiRJndPpYriqBh2CJEnqCPMOSRounS6Gly5dOty9QlsAACAASURBVOgQJElSR5h3SNJw6XQx/NrXvnbQIUiSpI4w75Ck4dLpYliSJEmS1E0Ww5IkSZKkzul0Mbxs2bJBhyBJkqYgyQ5Jzk5yaZIVSf6ybd8iyZlJftr+3bxtT5IPJ7kiycVJ9h7sFph3SNKw6XQxvM8++ww6BEmSNDW/Bf66qh4LPBn4iySPA44GvlNVuwLfaV8DPB/YtX0sBj7W/5AfyLxDkobLOhfD68MR2oULFw46BEmSNAVVdUNV/bB9fgdwKbAQOBg4qR12EvCi9vnBwMnV+D6wIMm2fQ77Acw7JGm4TOeb4Tl/hFaSJM09SXYG/hD4AbBNVd0ATcEMPLwdthC4tmfayrZNkiRgGsXw+nCEVpIkzS1JNgW+DLyxqm6faOgYbTXG8hYnWZ5k+c033zxTYUqS5oAZuWZ4rh6hPfLIIwe5ekmStBaSbEBTCH+mqk5tm28cObje/r2pbV8J7NAzfXvg+tHLrKqlVbWoqhZtvfXWsxc85h2SNGymXQzP5SO0S5cundXlS5KkmZEkwCeBS6vqX3q6lgGHt88PB77a0/6q9p4lTwZWjRysHxTzDkkaLtMqhuf6EVrv6ihJ0pzxFOCVwLOS/Kh9vAA4DnhOkp8Cz2lfA5wBXAVcARwPvH4AMT+AeYckDZd56zpxCkdoj2PNI7RHJfkc8CSG4AjtD3/4w0GuXpIkTVFVfY+xzzID2G+M8QX8xawGtZbMOyRpuKxzMcz9R2h/nORHbdvbaYrgLyQ5Avg58LK27wzgBTRHaO8CXjONdUuSJEmStM7WuRheH47QbrutN7OWJEn9Yd4hScNlRu4mPVddf/0alyxLkiTNCvMOSRounS6GlyxZMugQJElSR5h3SNJw6XQxfOyxxw46BEmS1BHmHZI0XDpdDEuSJEmSusliWJIkSZLUOZ0uhpcvXz7oECRJUkeYd0jScOl0MSxJkiRJ6qZOF8OLFi0adAiSJKkjzDskabh0uhiWJEmSJHWTxbAkSZIkqXM6XQwfc8wxgw5BkiR1hHmHJA2XThfDS5YsGXQIkiSpI8w7JGm4dLoY3m677QYdgiRJ6gjzDkkaLp0uhm+44YZBhyBJkjrCvEOShkuni2FJkiRJUjd1uhjee++9Bx2CJEnqCPMOSRounS6GL7jggkGHIEmSOsK8Q5KGS6eL4cWLFw86BEmS1BHmHZI0XDpdDB9//PGDDkGSJHWEeYckDZdOF8OSJEmSpG6yGJYkSZIkdU6ni+Hrrrtu0CFIkqSOMO+QpOHS6WLYuzpKkqR+Me+QpOHS6WL4oIMOGnQIkiSpI8w7JGm4dLoYliRJc0eSE5LclOSSnrYtkpyZ5Kft383b9iT5cJIrklycZO/BRS5JGkbTKob9UJIkSX10IrD/qLajge9U1a7Ad9rXAM8Hdm0fi4GP9SlGSdIcMd1vhk9kDn8ofeITnxh0CJIkaYqq6rvAr0Y1Hwyc1D4/CXhRT/vJ1fg+sCDJtv2JdGzmHZI0XKZVDM/1D6XFixcPcvWSJGn6tqmqGwDavw9v2xcC1/aMW9m2DYx5hyQNl9m4ZnjOfCglGeTqJUnS7BnrQ77WGJQsTrI8yfKbb755dgMy75CkodLPG2gN3YeSJEma824cOdOs/XtT274S2KFn3PbA9aMnV9XSqlpUVYu23nrrWQ9WkjQ8ZqMY9kNJkiT1yzLg8Pb54cBXe9pf1d7A88nAqpEz1yRJgtkphufMh9IBBxwwyNVLkqS1kOQU4H+A3ZKsTHIEcBzwnCQ/BZ7TvgY4A7gKuAI4Hnj9AEJ+APMOSRou86Yzuf1QegawVZKVwDE0H0JfaD+gfg68rB3+/7d372GSlOX9/98fXFmUZV1OElkFXAMoS4CIh/x+iuIRT0QUv1cQRFAiGL6En1EIaiCweAK+EoNnSDSIIkYFgRXUqCiKfqNikMMoICDISU7CsrsgKN6/P6pGeoeZ2dnp3e7p7ffruuqa7nqep+ru3p2p+366qvp84BU0B6X7gDd1s+/pWrRo0Z8eL168uB8hSJKkaaiq10/Q9KJx+hbwv9dsRFNw5cNXiS1e/IirwyRJfdRVMTyQB6UOu+++uwWxJEnqCfMOSZpZenkDrRnnq1/9ar9DkCRJQ8K8Q5JmlqEuhiVJkiRJw8liWJIkSZI0dIa6GG4uY5YkSVrzzDskaWYZ6mL4lFNO6XcIkiRpSJh3SNLMMtTF8EEHHdTvECRJ0pAw75CkmWWoi2FJkiRJ0nCyGJYkSZIkDZ2hLobPPffcfocgSZKGhHmHJM0sQ10M77zzzv0OQZIkDQnzDkmaWYa6GJ4/f36/Q5AkSUPCvEOSZpahLoYlSZIkScPJYliSJEmSNHSGuhh+y1ve0u8QJEnSkDDvkKSZZaiL4VNOOaXfIUiSpCFh3iFJM8tQF8Obb745ixYtYtGiRf0ORZIkreV2Xhi4sl0kSX031MXwrbfe2u8QJEnSkPifn/c7AklSp6EuhiVJkiRJw2moi+E5c+b0OwRJkjQknrBpvyOQJHUa6mL4sMMO63cIkiRpSNzyvX5HIEnqNKvfAfTTd77zHV7wghcAPOImWkcffXQ/QpIkSWupYz4KxxzSPhl7E62nVs/jkaRhN9SfDF944YX9DkGSJA2JRR/rdwSSpE5DXQxLkiRJkoaTxbAkSZIkaegMdTF84IEH9jsESZI0JC7+cr8jkCR16vkNtJK8DDgJeBTw71V1XK9jmIrOG2p5My1JkgbToOQdK9xQy5tpSVJP9PST4SSPAj4GvBzYDnh9ku16GUOnU045ZUr9Fi1a9KdFkiQNhpmWdzzjdathI1fm4UWS1JVefzL8LOCaqroOIMkXgFcDP+9xHNM23YLYT5clSeq5wcw7pvopsV/PJEld6XUxPB+4seP5TcCzexxDX0xWRHcWypOdnu2p25IkrZLBzztW5RPgifquSkE9VRbektYCqerdH7Mk/wvYrar+tn2+L/Csqvr7jj4HAqN3ttoWuKrL3W4C3NnlNvrF2PvD2PvD2PujV7FvWVWb9mA/0p+Yd0yZMffOIMZtzL1hzKvXlPKOXn8yfBPwpI7nTwRu6exQVacAU7uYdwqSXFxVz1hd2+slY+8PY+8PY++PQY5dmgLzjikw5t4ZxLiNuTeMuT96/dVKPwG2TvLkJOsCewHn9jgGSZI0HMw7JEkT6uknw1X1hySHAN+g+YqDT1fVSC9jkCRJw8G8Q5I0mZ5/z3BVnQ+c38NdrrZTn/rA2PvD2PvD2PtjkGOXVsq8Y0qMuXcGMW5j7g1j7oOe3kBLkiRJkqSZoNfXDEuSJEmS1HcDXQwneVmSq5Jck+Sd47TPTvKfbfuPkmzV0faudv1VSXbrZdzt/qcVe5KXJPlpksvbny8clNg72rdIsizJYb2KuWPf3fyf2SHJ/00y0r7/6w1C7EkeneQzbcy/SPKuXsY9xdifl+R/kvwhyevGtO2X5Jftsl/vop5+3El26vi/clmSv+ll3G0M037P2/a5SW5O8tHeRCzNfIOYdwxivjGIecYg5heDmFeYT/QunxiaPKKqBnKhuRHGtcACYF3gUmC7MX0OBj7ZPt4L+M/28XZt/9nAk9vtPGpAYv9LYPP28fbAzYPyvne0nwl8CThsUGKnub7+MmDH9vnGA/R/Zm/gC+3jxwLXA1vNsNi3AnYATgNe17F+I+C69ueG7eMNByDubYCt28ebA7cC8wbhPe9oPwn4PPDRXsXt4jKTly7/Dvcl7+gy5r7kG93E3NHe0zyjy/e5L/lFlzH3Ja/o5tiG+UTPYu5oH4g8YpA/GX4WcE1VXVdVDwJfAF49ps+rgc+0j78MvChJ2vVfqKoHqupXwDXt9npl2rFX1SVVNfodiSPAeklm9yTqRjfvO0n2oPkD1I+7eXYT+0uBy6rqUoCququqHupR3NBd7AWsn2QW8BjgQeDe3oQNTCH2qrq+qi4D/jhm7G7AN6vqt1V1N/BN4GW9CJou4q6qq6vql+3jW4DbgZV+8ftq1M17TpKdgc2A/+pFsNKAGMS8YxDzjUHMMwYxvxjEvMJ8onf5xNDkEYNcDM8Hbux4flO7btw+VfUHYAnNjNtUxq5J3cTeaU/gkqp6YA3FOZ5px55kfeAIYFEP4hxPN+/7NkAl+UZ7Ssg/9iDeceNqrUrsXwaW08wm/hr4YFX9dk0HPF5crVX5fevn7+pq2XeSZ9HMql67muKaimnHnmQd4ETg8DUQlzTIBjHvGMR8YxDzjEHMLwYxrzCf6F0+MTR5RM+/Wmk1yjjrxt4ae6I+Uxm7JnUTe9OYLASOp5lR7KVuYl8EfKiqlrUTuL3WTeyzgOcCzwTuA76d5KdV9e3VG+KEuon9WcBDNKfXbAh8P8m3quq61RvihLr5fevn72rX+07yBOCzwH5V9YiZ0zWom9gPBs6vqhv79HsqzVSDmHcMYr4xiHnGIOYXg5hXmE/0Lp8YmjxikD8Zvgl4UsfzJwK3TNSnPZXjccBvpzh2TeomdpI8EfgK8Maq6uWnTSvE1VqV2J8NnJDkeuBtwLuTHLKmAx4vrtaq/p+5sKrurKr7aL6z8ulrPOJx4mqtSux7A1+vqt9X1e3AD4BnrPGIx4mrtSq/b/38Xe1q30nmAucBR1bVf6/m2Famm9j/H+CQ9vf0g8Abkxy3esOTBtIg5h2DmG8MYp4xiPnFIOYV5hO9yyeGJ49YUxcjr+mFZibtOpobUYxe2L1wTJ//zYoX/n+xfbyQFW9kcR29vRlSN7HPa/vvOWjv+5g+x9D7G2h1875vCPwPzY0iZgHfAl45ILEfAfwHzSzf+sDPgR1mUuwdfU/lkTe8+FX7/m/YPt5oAOJeF/g28LZe/h9fHbGPadufGX7jCxeXXi1d/h3uS97RZcx9yTe6iXlMn2Po3Q20Bi6/6DLmvuQVXR6XzSd6FPOYtv2Z4XlE3wPo8h/qFcDVNOfO/1O77ljgr9vH69HcTfAa4MfAgo6x/9SOuwp4+aDEDhxJc53GzzqWxw9C7GO2cQw9LoZXw/+ZN9DckOMK4IRBiR2Y064foTlgHT4DY38mzSzkcuAuYKRj7Jvb13QN8KZBiLv9v/L7Mb+nOw1C7GO2sT8z/CDm4tLLpctjSF/yji6OHX3LN7p5nzu2cQw9zDO6/L/Rl/yii/8bfcsrujm2YT7Rs/e6Yxv7M8PziLSBSpIkSZI0NAb5mmFJkiRJkqbFYliSJEmSNHQshiVJkiRJQ8diWJIkSZI0dCyGJUmSJElDx2JYkiRJkjR0LIYlSZIkSUPHYliSJEmSNHQshqUZLMlGSb6SZHmSG5LsPUnfJDk+yV3tckKSdLTvlOSnSe5rf+7U0fa2JNcluTfJLUk+lGTWmn59kiRp5jDv0LCxGJZmto8BDwKbAfsAn0iycIK+BwJ7ADsCOwCvAg4CSLIucA7wOWBD4DPAOe16gMXA06tqLrB9u41D18QLkiRJM5Z5h4aKxbCGQpLrkxye5LJ2tvNTSTZL8rUkS5N8K8mGHf3/KskPk9yT5NIku3a0vSnJL9px1yU5qKNt1yQ3JXlHktuT3JrkTdOMeX1gT+CoqlpWVRcB5wL7TjBkP+DEqrqpqm4GTgT2b9t2BWYB/1pVD1TVh4EALwSoqmur6p7RXQN/BP58OnFLkjTszDvMOzQYLIY1TPYEXgJsA+wOfA14N7AJze/CoQBJ5gPnAe8FNgIOA85Msmm7ndtpZj/nAm8CPpTk6R37+TPgccB84ADgY50HvE5J3pnkqxPEuw3wUFVd3bHuUmCiGdqFbft4fRcCl1VVdbRf1rmtJHsnuRe4k2aG9uQJ9iNJklbOvMO8QzOcxbCGyUeq6rZ29vL7wI+q6pKqegD4CvCXbb83AOdX1flV9ceq+iZwMfAKgKo6r53RrKq6EPgvYJeO/fweOLaqfl9V5wPLgG3HC6iqjquqV00Q7xxgyZh1S4ANpth/CTCnvX5npduqqs+3pyttA3wSuG2C/UiSpJUz75hkW+YdmgkshjVMOv/I3j/O8znt4y2B/9WeqnRPknuA5wJPAEjy8iT/neS3bdsraGZ5R91VVX/oeH5fx7ZXxTKaWeBOc4GlU+w/F1jWzspOeVtV9UtgBPj4NGKWJEkN844pbMu8Q/1kMSw90o3AZ6tqXseyflUdl2Q2cCbwQWCzqpoHnE9zvcvqdjUwK8nWHet2pDlgjGekbR+v7wiwQ+ddHmludjHRtmYBT1nliCVJ0qoy7zDvUJ9YDEuP9Dlg9yS7JXlUkvXaG1Q8EVgXmA3cAfwhycuBl66JIKpqOXAWcGyS9ZM8B3g18NkJhpwGvD3J/CSbA+8ATm3bvgs8BByaZHaSQ9r1FwAk+dskj28fbwe8C/j26n9VkiRpDPMO8w71icWwNEZV3Ujzx//dNAefG4HDgXWqainNDS++CNwN7E1zp8VpSfLuJF+bpMvBwGNobp5xBvB3VTXSjt0lybKOvifTfFXB5cAVNDfjOLl9TQ/SfP3BG4F7gDcDe7TrAZ4DXJ5kOc2M8/nt65ckSWuQeYd5h/onK97kTZIkSZKktZ+fDEuSJEmSho7FsCRJkiRp6FgMS5IkSZKGjsWwJEmSJGnoWAxLkiRJkoaOxbAkSZIkaehYDEtdSnJMks/1Ow5JkrT2M++QVh+LYWkSvTjgJNk7yQ1Jlic5O8lGk/TdKclPk9zX/typoy1Jjk9yV7uckCQd7bsnuSLJsiQ/TLLdmnxdkiRp1QxY3vGCJN9JsiTJ9eOM3aptvy/JlUlevIZekjRtFsNSHyVZCJwM7AtsBtwHfHyCvusC5wCfAzYEPgOc064HOBDYA9gR2AF4FXBQO3Zr4HTgrcA8YDFwbpJZa+SFSZKkGWc15x3LgU8Dh0+wuzOAS4CNgX8Cvpxk09XzSqTVw2JYApIckeTmJEuTXJXkRUleBrwb+Jv209RL275PTnJh2/ebwCZd7HofYHFVfa+qlgFHAa9NssE4fXcFZgH/WlUPVNWHgQAvbNv3A06sqpuq6mbgRGD/tm034PtVdVFV/QE4HpgPPL+L2CVJ0jSsDXlHVf24qj4LXDfO69sGeDpwdFXdX1VnApcDe3YRu7TaWQxr6CXZFjgEeGZVbUBTOF5fVV8H3g/8Z1XNqaod2yGfB35KczB6D00ROtn270ny3AmaFwKXjj6pqmuBB4FtJuh7WVVVx7rL2vWP2Fb7eLQt7cKY59tPFrskSVq91qK8YzILgeuqamnHus68RJoRPEVSgoeA2cB2Se6oqusn6phkC+CZwIur6gHge0kWT7bxqpo3SfMcYMmYdUuA8WZoV9Z3bPsSYE573fA3geOS7Ar8EDgCWBd47GSxS5Kk1W5tyTsmM9HY+VMYK/WMnwxr6FXVNcDbgGOA25N8IcnmE3TfHLi7qpZ3rLuhi90vA+aOWTcXWDqNvmPb5wLLqnElzUzyR4FbaWaXfw7c1EXskiRpFa1Fecfq2o/UNxbDElBVn6+q5wJbAkVzTS3t4063AhsmWb9j3RZd7HqE5oZXACRZQDNbfPUEfXfovEM0zY2yRsbbVvt4tI2q+nJVbV9VGwNH07zWn3QRuyRJmoa1JO9Y2X4WjLkWeYW8RJoJLIY19JJsm+SFSWYDvwPupzmFCeA2YKsk6wBU1Q3AxcCiJOu21+Ts3sXuTwd2T7JLe6A7FjhrzDU2o77bxnVoktlJDmnXX9D+PA14e5L57QzzO4BTO17nzkke1d7J8WSaG2hc2UXskiRpFa0teUeSdZKsBzy6eZr1Ru80XVVXAz8Djm7Xv4amkD6zi9il1c5iWGpmRI8D7gR+Azye5m6OAF9qf96V5H/ax3sDzwZ+S/MJ62mTbby9I+Qu47VV1QjN1x2dDtxOcx3OwR1jv5bk3W3fB2m+OumNwD3Am4E92vXQFrg0d2u8AjivXTfqpHbcVe3Pt0wWtyRJWiPWlrzjeTSF/Pk0n1bfD/xXx+72Ap4B3N2+3tdV1R2TxS71Wla8QZwkSZIkSWs/PxmWJEmSJA0di2FJkiRJ0tCxGJYkSZIkDR2LYUmSJEnS0LEYliRJkiQNHYthSZIkSdLQsRiWgCTfTfK79rv5liW5qqNtxyQjSe5M8g8d6x+d5EdJntTlvl+U5Mok9yX5TpItJ+m7VdvnvnbMi8e0/0OS3yRZkuTTSWZPdawkSeoN8w5pZrAYlh52SFXNaZdtO9Z/ADgM2BE4MsmftevfDpxZVTdOd4dJNgHOAo4CNgIuBv5zkiFnAJcAGwP/BHw5yabttnYD3gm8CNgKWAAsmspYSZLUc+YdUp9ZDEsr92Tggqq6GfglsEWSLYA9gQ91ue3XAiNV9aWq+h1wDLBjkqeO7ZhkG+DpwNFVdX9VnQlc3sYBsB/wqaoaqaq7gfcA+09xrCRJmhnMO6QesRiWHvaB9pSkHyTZtWP9FcBLkzyRZubzWuDDwD9W1e9XttEklyXZe4LmhcClo0+qanm7/YUT9L2uqpZ2rLu0o+8K22ofb5Zk4ymMlSRJvWXeIfXZrH4HIM0QRwA/Bx4E9gIWJ9mpqq6lOVXpE8CfAf8APAdYClyX5BxgHvDRqvrSeBuuqh0m2e8c4I4x65YAG0zQd8k4fedP0D76eIMpjJUkSb1j3iHNABbDElBVP+p4+pkkrwdeAXykqm5oH5PkscAPgd2Aj9BcZ3MecEWSb1fVb1dx18uAuWPWzaU56K1q37Hto4+XruJ+JEnSGmTeIc0MniYtja+AjLP+n4F/r6rbgL8ALq6qJcBNwJ9PYz8jNDfIACDJ+sBT2vXj9V2QpHP2dseOvitsq318W1XdNYWxkiSpf8w7pD6wGNbQSzIvyW5J1ksyK8k+wPOAb4zptx2wK82pSwC/Al6YZDNga+DX09j9V4Dtk+yZZD2ag95lVXXl2I5VdTXwM+DoNtbXADsAZ7ZdTgMOSLJdkg2BI4FTpzhWkiT1gHmHNHNYDEvwaOC9NNfQ3An8PbBHVV01pt/HgP+vqh5qn78LOJRmlvP9VfWb8TbeflfgPuO1VdUdNHdWfB9wN/BsmmuHRsd+MsknO4bsBTyj7Xsc8Lp2G1TV14ETgO8AN7TL0VMZK0mSesa8Q5ohUlX9jkGSJEmSpJ7yk2FJkiRJ0tCxGJYkSZIkDR2LYUmSJEnS0LEYliRJkiQNHYthSZIkSdLQsRiWJEmSJA0di2ENnSSzk3wqyQ1Jlia5JMnLO9q3SlJJlnUsR3W0H57kziRXJNm+Y/1zkpzdZWxJcnySu9rlhCSZpP/e7etYnuTsJBt1tG2U5Ctt2w1J9p7qWEmStHqYd6x8rNQvFsMaRrOAG4HnA48DjgK+mGSrMf3mVdWcdnkPQJInAAcAC4BP0nyJPElmAScCb+sytgOBPYAdgR2AVwEHjdcxyULgZGBfYDPgPuDjHV0+BjzYtu0DfKIdM5WxkiRp9TDvMO/QDJWq6ncMUt8luQxYVFVntgenXwGPrqo/jOn3bOBtVfX6JE8Fzqqq7ZIcBqxbVe/vMo4fAqdW1Snt8wOAt1TVX43T9/3AVlW1d/v8KcAvgI2BPwJ3A9tX1dVt+2eBm6vqnZONraql3bwGSZI0OfMO8w7NDH4yrKGXZDNgG2BkTNMNSW5K8h9JNmnXXQP8RZJ5wIuBkSRPAvYCPjiFfT03yT2TdFkIXNrx/NJ23Ur7VtW1NDOy27TLQ6MHpHG2NdlYSZK0hph3mHdo5rAY1lBL8mjgdOAzVXVlu/pO4JnAlsDOwAZtH6rqLuB9wAXAK4HDgJOAI4DXJLkwyTlJnjje/qrqoqqaN0lIc4AlHc+XAHMmuH5nbN/R/huspG1lYyVJ0hpg3jFhu9QXs/odgNQvSdYBPkszM3nI6PqqWgZc3D69LckhwK1J5lbVvVV1BnBGu41XAg8Al/DwDOhf08zW7jWNsJYBczuezwWW1fjXM4ztO9p/Kc3pShO1rWysJElazcw7zDs08/jJsIZSO+P5KZqbOOxZVb+fpPvoAWGFWdIkjwHeD7wD2Bq4saruBX5CcxOK6RihuYnFqB155GlU4/ZNsgCYDVzdLrOSbD3BtiYbK0mSViPzDvMOzUwWwxpWnwCeBuxeVfd3NiR5dpJtk6yTZGPgw8B3q2rs6T1H0tx04hbg18C27XVALwCum2ZcpwFvTzI/yeY0B7xTJ+h7OrB7kl2SrA8cS3NjjaVVtRw4Czg2yfpJngO8mmZGetKx04xbkiRNzLzDvEMzkMWwhk6SLWm+NmAn4Dd5+Dv99mm7LAC+TnPqzhU0pyO9fsw2tgVeCnwEoKpupfm6gxHgUOBdE+x7lyTLJgnvZGAxcHm77/PadaPjlyXZpd3nCPBWmgPM7TTX3Rzcsa2Dgce0bWcAf9eOmcpYSZK0Gph3mHdo5vKrlSRJkiRJQ8dPhiVJkiRJQ8diWJIkSZI0dCyGJUmSJElDx2JYkiRJkjR0LIYlSZIkSUPHYliSJEmSNHQshiVJkiRJQ8diWEMpyXeT/K7ji++vGtO+d5IbkixPcnaSjTra/jXJ3Un+b5L5Hev3SXJSl3HNTvLpJPcm+U2St6+k/z+0/Za042Z3tG2V5DtJ7ktyZZIXd7Rtn+QbSe5M4peNS5K0Bpl3mHdoZrIY1jA7pKrmtMu2oyuTLAROBvYFNgPuAz7etj0L2Bn4M+Ai4F3t+scBhwH/3GVMxwBbA1sCLwD+McnLxuuYZDfgncCLgK2ABcCiji5nAJcAGwP/BHw5yaZt2++BLwIHdBmvJEmaGvMO8w7NMBbD0iPtAyyuqu9V1TLgKOC1STYAngxcVFUPAN+mORAAvA/4P1W1pMt9vxF4T1XdXVW/AP4N2H+CvvsBn6qqkaq6G3jPaN8k2wBPB46uqvur6kzgcmBPgKq6qqo+BYx0Ga8kSeqOeYfUJxbDGmYfaE/X+UGSXTvWLwQuHX1SVdcCDwLb0PwR3yXJY2hmRkeSPAPYtqo+v7IdtqdBH7t6SQAADxRJREFUXTZB24bA5p37bh8vnGBzC8fpu1mSjdu266pq6RS3JUmS1izzDmmGsRjWsDqCZnZ1PnAKsDjJU9q2OcDYmdYlwAZVdQVwJvDfwBbA8cBJwKFJDk3yvSSnJ5k33k6r6vNVtcMEMc3p2NcK+52k/9i+tP0nfA0TbEuSJK055h3SDGQxrKFUVT+qqqVV9UBVfQb4AfCKtnkZMHfMkLnA0nbsh6pqx6r6G+BvgO/T/C4dSDNr+wuaa2pW1bKOfT1ivxP0H9uXtv+kr0GSJPWOeYc0M1kMS40C0j4eAXYcbUiyAJgNXN05IMlmwEHAscD2wGVV9XvgJ8BEs7ATB9Bcf3Nr577bxxNdXzMyTt/bququtm1Be73RVLYlSZJ6x7xDmgEshjV0ksxLsluS9ZLMSrIP8DzgG22X04Hdk+ySZH2ag85ZY66DAfgXmhtF3Af8CnhmkjnArsB10wzvNODIJBsmeSrwFuDUSfoekGS79rqfI0f7VtXVwM+Ao9vX+RqaA+WZ7XuQJOsB67bP1+v8egRJkrR6mHeYd2jmshjWMHo08F7gDuBO4O+BParqKoCqGgHeSnNwup3mepeDOzeQ5AXAvKr6Sjvmx8B5wI00X01w3Hg7br8TcLJZ0qOBa4EbgAtp7hT59XbsFmm+m3CLdp9fB04AvtP2v6EdP2ov4BnA3W08r6uqO9q2LYH7eXjG9n5ghe88lCRJq4V5h3mHZqhU+b3XkiRJkqTh4ifDkiRJkqShYzEsSZIkSRo6FsOSJEmSpKFjMSxJkiRJGjoWw5IkSZKkoWMxLEmSJEkaOhbDGkrt9+Z1Lg8l+UjbtlWSGtN+VMfYw5PcmeSKJNt3rH9OkrO7jCtJjk9yV7uckCST9N87yQ1Jlic5O8lGHW0bJflK23ZDkr072l6Z5KIk9yT5TZJ/S7JBN7FLkqTxmXeYd2hmshjWUKqqOaMLsBnNl79/aUy3eR393gOQ5AnAAcAC4JO0X3KfZBZwIvC2LkM7ENgD2BHYAXgVcNB4HZMsBE4G9m1fw33Axzu6fAx4sG3bB/hEOwbgccB7gc2BpwFPBP5Pl7FLkqRxmHeYd2hmshiW4HXA7cD3p9B3C+CSqroX+BbNwQmag9G5VXV9l7HsB5xYVTdV1c00B7r9J+i7D7C4qr5XVcuAo4DXJtkgyfrAnsBRVbWsqi4CzqU5gFFVn6+qr1fVfVV1N/BvwHO6jF2SJK2ceYd5h2YIi2GpORCcVlU1Zv0NSW5K8h9JNmnXXQP8RZJ5wIuBkSRPAvYCPriyHSV5bpJ7JumyELi04/ml7bqV9q2qa2lmZLdpl4eq6uopbut5wMjk0UuSpNXAvMO8QzOExbCGWpItgOcDn+lYfSfwTGBLYGdgA+B0gKq6C3gfcAHwSuAw4CTgCOA1SS5Mck6SJ463v6q6qKrmTRLSHGBJx/MlwJwJrt8Z23e0/wYraVtBkpfQHJj/eZK4JElSl8w7zDs0s8zqdwBSn70RuKiqfjW6oj315+L26W1JDgFuTTK3qu6tqjOAM6C5IQTwAHAJD8+A/jXNbO1e04hnGTC34/lcYNk4s8fj9R3tvxT44yRtf5Lkr4DPA68bM5srSZJWP/MO8w7NIH4yrGH3RlacnR3P6AFhhVnSJI8B3g+8A9gauLG9pucnNDehmI4RmptYjNqRiU8jWqFvkgXAbODqdpmVZOuJtpXkL2mu53lzVX17mvFKkqSpM+8w79AMYjGsoZXk/wXmM+ZujkmenWTbJOsk2Rj4MPDdqhp7+s+RwKlVdQvwa2DbJJsBLwCum2ZYpwFvTzI/yeY0B7xTJ+h7OrB7kl3aG1ccC5xVVUurajlwFnBskvWTPAd4NfDZ9jVuD3wd+PuqWjzNWCVJ0hSZd5h3aOaxGNYw24/2j/iY9Qto/mAvBa6gOR3p9Z0dkmwLvBT4CEBV3UrzdQcjwKHAu8bbYXsAWTZJTCcDi4HL232f164bHb8syS7tPkeAt9IcnG6nuS7n4I5tHQw8pm07A/i7dgw0B7tNgU91fKehN7KQJGnNMe8w79AMk/EvCZAkSZIkae3lJ8OSJEmSpKFjMSxJkiRJGjoWw5IkSZKkoWMxLEmSJEkaOhbDkiRJkqShYzEsSZIkSRo6FsOSJEmSpKFjMayhlORpSS5IsiTJNUle09G2VZLq+FL4ZUmO6mg/PMmdSa5Isn3H+uckObvLuJLk+CR3tcsJSTJJ/72T3JBkeZKzk2zU0XZIkouTPJDk1DHjtmvb7m6XbyXZrpvYJUnS+Mw7zDs0M1kMa+gkmQWcA3wV2Ag4EPhckm3GdJ1XVXPa5T3t2CcABwALgE8Cx3Vs80TgbV2GdyCwB7AjsAPwKuCgCV7HQuBkYF9gM+A+4OMdXW4B3gt8epzhtwCvo3n9mwDnAl/oMnZJkjSGecef2sw7NONYDGsYPRXYHPhQVT1UVRcAP6D5474yWwCXVNW9wLdoDk7QHIzOrarru4xtP+DEqrqpqm6mOdDtP0HffYDFVfW9qloGHAW8NskGAFV1VlWdDdw1dmBV3VNV11dVAQEeAv68y9glSdIjmXeYd2iGshjWMBrv9J8A249Zd0OSm5L8R5JN2nXXAH+RZB7wYmAkyZOAvYAPrnTHyXOT3DNJl4XApR3PL23XrbRvVV0LPAiMnWmeLJ57gN8BHwHeP9VxkiRpysw7Ho7HvEMzisWwhtGVwO3A4UkeneSlwPOBx7btdwLPBLYEdgY2AE4HqKq7gPcBFwCvBA4DTgKOAF6T5MIk5yR54ng7rqqLqmreJLHNAZZ0PF8CzJng+p2xfUf7bzDJ9sfGMw94HHAIcMlUx0mSpCkz73g4HvMOzSiz+h2A1GtV9fske9DMSh4BXAx8EXigbV/WrgO4LckhwK1J5lbVvVV1BnAGQJJXtuMu4eHZ1L+mma3daxrhLQPmdjyfCyxrTytaWd/R/ktXZYdVtTzJJ4E7kjytqm5flfGSJGli5h0rMu/QTOInwxpKVXVZVT2/qjauqt1orsH58UTd258rzJImeQzNKT7vALYGbmyv6fkJzU0opmOE5iYWo3Zs1620b5IFwGzg6mnsdx2aGer50xgrSZImYd7xCOYdmhEshjWUkuyQZL0kj01yGPAE4NS27dlJtk2yTpKNgQ8D362qsacGHQmcWlW3AL8Gtk2yGfAC4LpphnYa8PYk85NsTnPAO3WCvqcDuyfZJcn6wLHAWVW1tH0ds5KsBzwKeFT7eme1bS9J8pdJHpVkLvAvwN3AL6YZtyRJmoB5h3mHZiaLYQ2rfYFbaa7heRHwkqp6oG1bAHyd5rSfK2hOR3p95+Ak2wIvpTnliaq6lebrDkaAQ4F3jbfT9gCybJK4TgYWA5e3+z6vXTc6flmSXdp9jgBvpTk43U5zzc7BHds6ErgfeCfwhvbxkW3bPJpTrpYA19Lc0fFlVfW7SWKTJEnTY95h3qEZKONfEiBJkiRJ0trLT4YlSZIkSUPHYliSJEmSNHQshiVJkiRJQ8diWJIkSZI0dCyGJUmSJElDx2JY6lKS7yb5237HIUmS1n7mHdLqYzGsgZTk+iQv7nccM1GSvZPckGR5krOTbDRJ352S/DTJfe3PnTrakuT4JHe1ywlJMpWxkiStTcw7JmbeoUFmMay1UpJZ/Y6hH5IsBE4G9gU2A+4DPj5B33WBc4DPARsCnwHOadcDHAjsAewI7AC8CjhoimMlSRoa5h3mHRpMFsMaOEk+C2wBLE6yLMk/JtkqSSU5IMmvgQuS7JrkpjFj/zSzm2SdJO9Mcm07A/nFlcxmvjrJz5Lc24552Th9npLkgnZ7dyY5Pcm8jvYjktycZGmSq5K8qF3/rCQXt9u+Lcm/TPPt2QdYXFXfq6plwFHAa5NsME7fXYFZwL9W1QNV9WEgwAvb9v2AE6vqpqq6GTgR2H+KYyVJWiuYd0zKvEMDzWJYA6eq9gV+DexeVXOq6oSO5ucDTwN2m8KmDqWZgXw+sDlwN/Cx8TomeRZwGnA4MA94HnD9eF2BD7TbexrwJOCYdhvbAocAz6yqDdoYR7dxEnBSVc0FngJ8caKgk9yT5LkTNC8ELh19UlXXAg8C20zQ97Kqqo51l7XrH7Gt9vHCKY6VJGmtYN5h3qG111Ce0qG12jFVtRyg4zKTiRwEHFJVN7X9jwF+nWTfqvrDmL4HAJ+uqm+2z28eb4NVdQ1wTfv0jnam9ej2+UPAbGC7JHdU1fUdQ38P/HmSTarqTuC/Jwq6quZN1AbMAZaMWbcEGG+GdmV9x7YvAea01++syn4kSVpbmXeYd2iA+cmw1jY3rkLfLYGvtDOe9wC/oDlwbDZO3ycB165sg0ken+QL7SlJ99Jc27IJ/OmA9TaaGdvb236bt0MPoJlFvTLJT5K8ahVeR6dlwNwx6+YCS6fRd2z7XGBZOyu7KvuRJGltZd5h3qEBZjGsQVVTWL8ceOzokySPAjbtaL8ReHlVzetY1muvUxnrRprTiFbmA20MO7SnHr2B5hSmJriqz1fVc2kOiAUc367/ZVW9Hnh8u+7LSdafwv7GGqG58QQASRbQzApfPUHfHbLiVPYO7fpHbKt9PDLFsZIkrU3MO8Zn3qGBZjGsQXUbsGAlfa4G1kvyyiSPBo6k+QM96pPA+5JsCZBk0ySvnmBbnwLelORF7Q0w5id56jj9NqCZvbwnyXyaa31ot79tkhcmmQ38DrifZkaYJG9IsmlV/RG4px3y0Epe33hOB3ZPskt7UDsWOKuqxps5/W67j0OTzE5ySLv+gvbnacDb29e6OfAO4NQpjpUkaW1i3jE+8w4NNIthDaoPAEe2pxodNl6HqloCHAz8O821NsuBzrs8ngScC/xXkqU018s8e4Jt/Rh4E/AhmmtULqSZZR1rEfD0ts95wFkdbbOB44A7gd/QzMa+u217GTCSZFkb115V9bvxYklzJ8tdJohzBHgrzcHpdpqD5MEdY7+W5N1t3wdpbuTxRpoD4ZuBPdr10HxVwmLgcuCK9vWcPMWxkiStTcw7xo/TvEMDLSvelE2SJEmSpLWfnwxLkiRJkoaOxbAkSZIkaehYDEuSJEmSho7FsCRJkiRp6FgMS5IkSZKGjsWwJEmSJGnoWAxLkiRJkoaOxbAkSZIkaehYDEuSJEmShs7/DzOPjw0AHpQgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1224x1440 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_samples(\n",
    "    ps, \n",
    "    summ,\n",
    "    x = 4,\n",
    "    y = 2,\n",
    "    pad = 14,\n",
    "    figsize = (17, 20),\n",
    "    colors = ['orange', 'purple', 'crimson', 'steelblue', 'pink', 'red', 'grey', 'gold'],\n",
    "    title = \"8 data points classification uncertainty plots\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### B. Model evaluation : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 537,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix, accuracy_score, precision_score, f1_score, recall_score, average_precision_score \n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "metadata": {},
   "outputs": [],
   "source": [
    "fraud_gen = generate_fraud(8000)\n",
    "fraud_gen = reconstruct_fraud(fraud_gen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "metadata": {},
   "outputs": [],
   "source": [
    "notfraud = paysim[paysim['isFraud'] == 0][1_000_000:1_008_000][[col for col in paysim.columns if col != 'isFraud']]\n",
    "dummy = np.vstack((notfraud.values,fraud_gen.numpy()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "metadata": {},
   "outputs": [],
   "source": [
    "samples = get_samples(\n",
    "    torch.tensor(dummy),\n",
    "    num_samples = 1000,\n",
    "    return_sites = ['obs', '_RETURN']\n",
    ")\n",
    "obs = samples['obs']\n",
    "ps = samples['_RETURN']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "metadata": {},
   "outputs": [],
   "source": [
    "summ = summary(ps.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[t-SNE] Computing 91 nearest neighbors...\n",
      "[t-SNE] Indexed 16000 samples in 0.061s...\n",
      "[t-SNE] Computed neighbors for 16000 samples in 1.027s...\n",
      "[t-SNE] Computed conditional probabilities for sample 1000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 2000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 3000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 4000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 5000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 6000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 7000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 8000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 9000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 10000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 11000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 12000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 13000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 14000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 15000 / 16000\n",
      "[t-SNE] Computed conditional probabilities for sample 16000 / 16000\n",
      "[t-SNE] Mean sigma: 0.001264\n",
      "[t-SNE] KL divergence after 250 iterations with early exaggeration: 69.124588\n",
      "[t-SNE] KL divergence after 1000 iterations: 0.746890\n"
     ]
    }
   ],
   "source": [
    "tsne_em = TSNE(n_components=2, perplexity=30.0, n_iter=1000, verbose=1).fit_transform(dummy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 405,
   "metadata": {},
   "outputs": [],
   "source": [
    "p_colors = [dp['mean'] for dp in summ]\n",
    "pred_classes = np.where(np.array(p_colors) > 0.5, 1, 0)\n",
    "true_classes = np.hstack((np.repeat(0, 8000), np.repeat(1,8000)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 454,
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualize_TSNE_inference(X, colors, title = ''):\n",
    "    plt.figure(figsize = (15,10))\n",
    "    plt.scatter(X[:,0], X[:, 1], c = colors, cmap = 'viridis')\n",
    "    cbar = plt.colorbar()\n",
    "    cbar.ax.set_title(\"is Faud\")\n",
    "    plt.xlabel(\"First Component\")\n",
    "    plt.ylabel(\"Second Component\")\n",
    "    plt.title(title)\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 460,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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lERnA/Z7srarDJeZxNO5Caz+uNSfzO09xn9fjcd936wH/yjj2fNw4zpHv/LGzxpadaPYp6o0xU0jQwnKlqv6lAnk/B+yYZWzGpCQi1wKvqurPa12XeiduOuAFqnpCretiqiu4gvsiEFVbz8YYU2esBccYMyGquulkDm6CblPrilt35LO41oyba10vY+qNiHw56AY3E9eidpsFN8aYemQBjjFmRbcybhzNAK4LzmGq+mxNa2RMffo2rhvjm7j++4flT26MMfmJyMXiFrx+Mcd+Ebeo6BviFiH+eFH5Whc1Y4wxxhhjTLWJyLa4C4yXq+rGWfbvihunuCtu0e7fq+onC+VrLTjGGGOMMcaYqlPVf+Ammsnli7jgR4MFSmeIyCp50gMQLlcF69Hs2bN13rx5ta6GMcYYY4yZ4p555pklqppvId26sMsOLdrZVeos0ePzzAvxl3Drno24UFUvLCGL1Ri9SOiCYNsH+Q6a0gHOvHnzePrpp2tdDWOMMcYYM8WJyP9qXYdidHalefKe6qyNG1rl9WFV3XwCWWRbbLng+BrromaMMcYYY4ypRwtw6+2NWB235ldeU7oFxxhjjDHGGLOMAj5+ratRrFuB74nINbhJBnpVNW/3NLAAxxhjjDHGGFMDInI1sD0wW0QWAD8HIgCq+ifgTtwMam8AMeAbxeRrAY4xxhhjjDEZkskkCxYsYHh4eLl9jY2NrL766kQikRrUrByUtNZHC46q7lNgvwLfLTVfC3CMMcYYY4zJsGDBAtra2pg3bx4iy8a5qyqdnZ0sWLCAtddeu4Y1NPnYJAPGGGOMMcZkGB4epr29fVRwAyAitLe3Z23ZmSzcGBytyq1WLMAxxhhjjDFmjLHBTaHtpn5YFzVjjDHGGGNWIJNoFrVxsRYcY4wxxhhjzJRR0wBHRC4WkcUi8mLGtlkicp+IvB78nRlsFxE5R0TeEJEXROTjtau5McYYY4yZytwEXsVvnywUJa3VudVKrVtwLgU+O2bbccDfVXV94O/BfYDPAesHt0OB86tUR2OMMcYYswJpbGyks7NzuWBmZBa1xsbGGtXMFKOmY3BU9R8iMm/M5i/iFvwBuAx4CDg22H55MB/2EyIyQ0RWKWY1U2OMMcYYY4q1+uqrs2DBAjo6OpbbN7IOzmRWyxnOqqEeJxlYaSRoUdUPRGRusH014N2MdAuCbaMCHBE5FNfCw5prrln52hpjjDHGmCklEonYOjeTWK27qJUi25x8y4Wfqnqhqm6uqpvPmTOnCtUyxhhjjDHG1It6bMFZNNL1TERWARYH2xcAa2SkWx14v+q1M8YYY4wxZpJSID3Fu6jVYwvOrcCBwf8HArdkbD8gmE3tU0Cvjb8xxhhjjDHGZKppC46IXI2bUGC2iCwAfg78CrhORA4G3gH2DJLfCewKvAHEgG9UvcLGGGOMMcZMcjbJQAWp6j45du2YJa0C361sjYwxxhhjjDGTWT2OwTHGGGOMMcZUgEJNF+GsBgtwjDFmClMdhuG70OTLSHg9aNwN8VrcPr8H0u9AaHXEm5U7D78PHboZUm8ikY9C0+cRaQryV9ABkCgiDVV5TMYYY0w+FuAYY8wUpekOtPOroL2gMZQm6D8bnXUNxC6Fob8BPuCj4Y9B6w/AX4yQguinkdDKaOpNtHNv0AQwhA7dAgPnQPuNkHoN7TsR0u8DHtq0GzLt50uDH2OMMfXJr3UFKswCHGOMmaK07zTwF7Hsp2wINA4934L0e0B6WeLUc9BzkDtu5PisucbAT6C9P4XEEy7PEUO3oolnYdrPoWFLRLItX2aMMcZUlgU4xhgzBfl+H8TvyLbHdUubkBQkHmH5a4ApSL+Ndn8bwh9G234C3ixEFGhAwquPSq0ad0FR/H6Xrnlf1wXOGGNMxSg65dfBsQDHGGOmosW7VLiANLnaeCAOqReg202U6VKF0dDayMzzkPA8VIdd17fU24y0AunQLWjLkXht36lw3Y0xxkxl9bjQpzHGmHFQTeD3n4W/cBOgs9KlUdpPSArSr6Ode6OaRGM3jApulqYZPAt/8OryVtUYY8wyCukq3WrFWnCMMWaK0J7vQvwJIF6lEscxTFW70EUfA1mD0cFNhv5foE27It70CdXOGGPMislacIwxZgrwE69B/DGqF9xMRAr07Tz7Fe0+CtVE1WpkjDErCmVk/szK32rFAhxjjJnkVJPQdxSQrHVVyif5CLroo/j9F7i1dowxxpgiWRc1Y4yZ5DR2LaTm17oaFaAweDYqTUjrAbWujDHGTBFCmqk9jb+14BhjzGQ3dAMwVbtz+TDwm6X3VBV/8Gr8xdvgL9wAf8nn0fijNayfMcaYemMtOMYYM+lN7StxkMCP3Q3+ezB0M6TfBFJuV+p1tPswdNrpeM271bSWxhhj6oMFOMYYM9k17QH9L9a6FpXVd2SenXHoOxo/diEy41wkvGbVqmWMMZONAv4UH9poXdSMMWaSk+a9wCvypD68CTL3GZj2u8pWquoUUq+iXfuhmqp1ZYwxxtSQBTjGGDPJiURg9l0U/EoPrY20X414bXjNu0JovRwJG6D50ML55a8VhNaGyMcgsiXIqhDeELzVgKYJ5FuAvwQSj1cuf2OMmQLSwUQDlb7VigU4xhgzBXheBGZeT9bxONEvQ/sdeHPuccFQQGbfDNHPs6y3cju0nYas9DzetB8hc5+E1uMgtO6YfD3y/3yEkdmuPK/9b3jtl+Gt9BA0bAF+BzkX+CyLNJp4ooL5G2OMqXc2BscYY6YIL7ox/pwnoP+3kHoRQh+CtqPxwqtkTS/SgMw8O2d+4k1DWr8Jrd8Mun15kH4Lkq9AaDU09GHo/T4kHsH16ga8VaH9GiS08vIZDt1KVWZ7G7wIP/5P8FYGiUDkI0jTHtnrZIwxKxiFKT9NtAU4xhgzhXihmTDjtLLnKxL8XITXczeCNp1Zf0FV0fS7INPxQtPz5FKtUa0+pF4GXnZ34/egA+fDrIshvB6afANCq+CF16hSfYwxxlSTBTjGGGMmRESKm7ms8fMwdC2QrHidlpdAuw4C/OAGvrTAjHPxolsDoJpCY1dC7CrQGES2hobNwWtBop9CvFk1qLcxxpSfr9aCY4wxxkyYtP0ATTwO6QVAvAY1GDO7mg5C98Fo+60Qnocu+TKkX1+2P36Tu+HanjS0ITLzD4i1/BhjTF2zAMcYY0xViDcNZt8G8QfQ4UcgPR/SHeC/zbLua0L1urIB+GjvcdC0F6TfyJ80/TK6ZEe0aS+86adUp3rGGFNmNgbHGGOMKSORMDTujDTuvHSbpuajQ3cCSUi9DvH7qGqQk3oJYjcWX+bQdfipD5Dmr0DjTohEK1o9Y4wxpbEAxxhjTE1JeB7SdjgAmnoXjf8TGKxmDSh5XFDyEbT3Geg/BZ1xMQzfA8l/gbcStHwXr2H9itTUGGMmShHSU3ylGAtwjDHG1A0JrwGzb0B7fwHJaq1n40P6pXEcFwM/Bl1fHL05fic+06B5fyS6JRpeD4ZuA/99aNgGiW6NyNQ+uTDGmFqyAMcYY0xdkfA6SPvlAPjpLkg8DZqEhq0g+U/o/TGQzp2BtwY07QuRNaD3Z6Dd1an4KH0Q+yMa++PozbFLUW8dmHMrIg01qJcxxtgsasYYY0zNeKFZ0LRsvA7h3aBpN/zkWzB4CcTvAXxo3AWa9nPd3bzmpck1vA66ZNfqVzwf/y2080Bov2LZ+kLGGGPKxr5ZjTHGTDpeZB2YcTJwct50El4PDf0fpJ+tTsWKlXoGXbQx2rw/0nbMqNYcVQUSQAMiU/sqqzGm+mwWNWOMMWaym3UBdGxR61pk4UPsSjT5BhpeH5JPQ+pd3AQLPshMtO2HeM1fq3VFjTFmUrEAxxhjzJTmhWbgT/s19B1b66pk4UPyMXcbS7ug7xR8BWnYFLzZSKi9+lU0xphJxgIcY4wxU57X/GX8wb9A+vVaV6VEcej/GUoj4KPRbZDpZyBeS60rZoyZtIS0Tu2ZHKf2ozPGGGMCMvN8kBlAaGQL0ATRPWHaH8BbM9g2Vj1cCxwGEhB/CO09rtaVMcaYulYP39rGGGNMxUl4TZj7MAzdhabfQSIbQPT/IRIBQJu2RQevh6EbgAQ0fBJpPQwJzUX9QTQ1HxJPQuwm8P+LG6pbbWmI34P6PYg3owblG2MmOwX8Kd7GYQGOMcaYFYZIEzR/JWs7jUgT0vp1aP368vu8FqRhI2jYCFq/gWoKUq+gCMh0kDboPwmGb6/8gwB08bbo7HvwwqtUpTxjjJlMLMAxxhhjSiQShshHRwdKM84CzsJPLYbur0P67QrWYBiWbI8f3QXajsULr1bBsowxU81UnyZ6ardPGWOMMVXmhedC05eAaIVLUojfDUt2wO86HD/xMurHKlymMcbUPwtwjDHGmDKT5gMgvCZIU44UTTDzIgh9iLJ0pkjcD11fQhdvir/wI/hLDsJPVrIFyRgzWam6WdSqcasV66JmjDHGlJl4LdB+IwzdgSb+Ad4qEN0RdBhCc/AiHwZAZ38aEo+jw/dB4lFIvw/SCuFPQvLucZbuQ+ox6NwFv3F/ZPrPEJna3VGMMSaTBTjGGGNMBYhE3YQGzV/Jk0YguhUS3Wq5fZr8D9q5x8QqMXwlmnoRmX3dxPIxxkwpvo3BMcYYY0y1SeSjSPvtENp6YhmlnsMfuLQsdTLGmMnAWnCMMaaOqSbQwQshdh1oAhp3Qlp/iITaa101UwUS+RAy55Kl9/3OAyD5ROkZDZyGNn8B8WaVsXbGmMlIgfQUb+OwAMcYMyGqKYg/gqZeg+TrQBTSiyH1OJAABELrwYwz8CIb1Li2k492H+4Wl2TYbRi6EY0/ArPvQrzmmtbNVJ/Mughd9Amg9NnStPtIpP3K8lfKGGPqjAU4xphx0/T7aOc+4C8C/FypIP06dH4Jf+bleNFPVrOKdUP9QdAB8OYgUtyVM02+PDq4ASAF/gdox5dg7q2INFakvqY+iURg7sPokr3Bf7O0g5NPVaZSxphJRmo6w1k1TO1HZ4ypKO05GvyF5A5uRqWG7oNRTVS6WnVDNYkfuxG/Yyd08eZox45ox7bo8APFZZB8GUjlyHw+umgHVLVs9TWTg3jT8ebeBbMfhejuUPRgYUWHH0DTHZWsnjHG1JwFOMaYcVG/F5Iv4HrzFiuBDlxQqSrVFfUH0Y5doe84SL8DpIEE+IvRniPQ5H+KyKOPnAEOAJ3o4CV59pupzAvPxZt5JrQeVfQx2vNdtGM7/L7TLTg2ZgWlgI9XlVutWIBjjBmn9PgOG7yovNWoU9p/Fvj/y7E3ifb9Kv/xOgSxvxUuaOB8NDXfBZy4oMgfOBd/yVfxu76Nxh8vseZmspHop4GGIlOngRTELoPhOypYK2OMqR0bg2OMGRfxZqGheW58TUlKHxw9KQ1dm39/8sWsm1VTaP+vIHYtEC+ioF6080ugKbRhO0i9CH7X0mM18QTadhRey4ElVd9MHhLZCG3aDYZuA5JFHuWj/ecgTbtVsmrGGFMT1oJjzArOTy/Ej92Cn3yl5GNlxm8BG+Q+lj94BW4GuXyG8buPwO//A5pevHSr9p/hpoQuKrgZOSjmykvcB/4HY44dgv5T8buPQlPzi8/TTCoy7XRkxjkQ2aL4g/z3KlchY0xdS6tU5VYr1oJjzArK933o2h9STy/bhkDrSXitXysqD4ls6GZ06jsr6O4yiLtukr/7mr9oM/DmQnQ7aNgKiWw0JdZ18f1hWLIP+C8VkVohfg/EH0Rjl8CsKyG8PsSuZvSsaWUSvx2N3wXttyCRD5U/f1NTIgKNOyKNO+Iv2Q9SxcyYlkTVL3pWP2OMmSzsW82YFVXf8aOCG0dh4Gf4CzfH7/gyfv+fUL8nbzbizcSbcTLeyv/GW/m/MPfZwmVrP6TfhNjF0PMttGMb/N5foFrMbGz1SXUYFn+syOAmUwJ0AO09wU0jnXdSgYlKo5274w8/UsEyTM3NuoRif951YMUYE2eMWUYR0nhVudWKBTjGrKiGb82zsw/SL8HgWejiLfAX746m3igqW0kWEeAsJ+UWsIxN3kUItWM/SptRbozUKyhR8KaXrU7ZKfQcjL9wU/xkqeOnzGTgeQ0w89LiEg9eWNG6GGNMLbnVuJ4AACAASURBVFiAY8wKq4SWAv+/6JIv4KeK6LPvd1D8uhyZhiF26TiOqz1Nvgp+4Wmf8/PcIo6txzG+569UMejcHU0vrEJZptq86KeA1YpIuYJM+mGMGcVXryq3WrEAx5gVlcwq8YAU9J9cMJV6qzPulgy/f3zH1ZgOXT/BHCIQ/QwiEbzmL0Drj6lOkOOjHbvgpyzImZIia9S6BsYYUxMW4BgzRajf58aBFGv6qaUXksg/cNkfOB+6xzsdsUDDVuM8tsYmGpiF5iHTf7n0rtf6LWTGn4DQxPItyhAs2QG/wFgrM/lI855ApECqYqeVNsZMFQo2BscYU7809TZ+z7H4CzdHF2+BLvo4fveRaBEn3F7jjjDt/BJLzN2qoInnYeB8SpreeFTWrUjb0eM7tsakcSegaZxHe9D0BWTM2Btp3AGiO024bsVJQ+9JVSrLVE3j56HhMwWTqY7zM2uMMXXKpok2ZpLyY9dB3y8YPZbGh/i9aPdipP2avMer3wO6AHedo8jZyyKb5s5v6AZKD24i4LVDdGek9RAktFKJx9eJ6P+Dho9D4klKvyIeQhD82E3Q/xvQHpBp0PZDpPUINP5AiXmW8HpmSjxW+jGmrol4aGStgksyaeoNJLJRdSpljKk5pbZr1FSDBTjGTELqd0Pfz8m+3owPyf/gx5+B4dsg+SIQgtRbQC/IKkASdAmuRabY8TICzQe58lPzIfkyhFaDyCZuDQ4dKiEvYPY9eOG1i09fx0RCMPMvMHwPOnwXqAfhNSB2GYWDPg/1+2DgjGWbtBv6TkSbD4MZ50HPt8n73MpqoO8BjRBeB1Ivj+NRRMdxjKl7w/cXThN/EizAMcZMIXUZ4IjIh4FrMzatA5wIzAAOATqC7cer6p1Vrp4xNafxh8i/mGYSuvcl60mxfpB5p4RSGyCyKX73kRB/ECQC+BBaC2ZdgjR+Dh2+tcg8o0horRLKrn8iIWjaFWnaFQBVHx2+GfzFOY6IAB60/hAGzsqeJHYB0vY8Ou0k6DsFdyk+8/ltgqbPI427ouGPIF476ndBx1aUPNFD6yGlpTeTgzet0Lq7EH8IbTnAvYeNMSsEf4qPUqnLR6eq/1XVTVV1U2Az3DyWNwW7zx7ZZ8GNWWEl5xeRaAJrsmQVh669If6Q+18HQGOQeh3t+QkaWrf4MttOnPKrp4t4MO0Mco9bSrrgMDyP3H2IfHT473jNX0Pm3Attx0HjF6HhU8GEDAJD16PdB0PHp9G+XwGhoJWuBKH1kOZ9SzumCL4fxx+4CH/Jl/A790OH70a13O9Lk1fL4YXTJB9He46ofF2MMaZK6rIFZ4wdgTdV9X8iU7u/oDFFSxexHk1Fyn0ty8YUJB6Gzn8XkYEH08/Ea/p8uWtWkKaXQOIJkBaIbo1IQ8XLlFC7W7yTHLPbpV+DnsPyZzLwB9cyFFoFafkGAJpeiHbswLJL8+puQ5dD8hnQjly5jRGFlsPx2grUoUSaeBLtORn8/47e3vMUEEHbjkea98W+0yvPa9wGP/wxSD2fP2H8ETT5AhLZpDoVM8bUjCqka7hGTTVMhke3N3B1xv3vicgLInKxiMwcm1hEDhWRp0Xk6Y6OYn/kjZk81B+AeL01XvpAb4E0UZjz75oEN/7AhWjHdmjvj9Ceb6OLNsHvP7fyBWsPSKHrSAVaNNJv4w9ehz/0IH7vyfiLPo12bE/2fkdpSL1AcZMSNIC0QeJRNP6v7DXTODp8Lzp0Y9ELgvpDt6Fd31wuuFkmCf2/RBd9FD/xXFF5mgkKFTPWLVlwGnhjjJks6roFR9wl1i8APwk2nQ+cjDsjOBk4E/hm5jGqeiFwIcDmm29ufSHM1BN/oNY1GKc4dGyLzn0Q8doqXpr6XZB4zp2YD5zD6JN+HwbPwffTEGoD4kh4PYhuV96WnfBGoIUGQBTiQ/8JZanOaAk30URyCdp9INr2E7yWZWsYaeI5tOsbuFn6UoCPhjcFbwb4nW5b+CPQ9GWkYXNEQqimM8YKFVF+11740a8gM0618R+VlHq1iEQC3uyKV8UYUw8EvyqLSddOXQc4wOeAf6vqIoCRvwAi8mfg9lpVzJha8NP90PtTRk8NPVHN0LQPMAxDfy1jvtn0oUsOgjnXV7R7kt9zDAzfXDjh0HlL/3VXQ2bC7KuR8DplqYd4zWjbcdB/Ojm7qdUFH/pPxZeZkPgnDN9F1vqmnh1z/2UYvhEljDbtDS0HQSmLzQLEb0YHVkLafjjeyptC/EKtqwAC0cJr5hhjzGRQ713U9iGje5rIqJGzXwZerHqNjKkQTb6A33scftch+IPXomNOFH0/Bh2fYNwLaS5HYNo5eCs/hzf9WLzpP4fm75Qp7zz8/6B9p1Uu+/5ziwtusupGu75X1vp4Lfsgsy6B0EfKmm9+YQqvYJ9F349h+BZKD8ZSMHQldB9B6cG3D7HLbfKBSgqtUTjN9DMQr7nydTHGmCqo2xYcEWkGPgN8O2Pzb0RkU9zF1vlj9hkzKakm0J4fQ/xulo7HSDyJDl0J7dch0oRqAjo+x7gWcMypGZHRJ6PSsg8a+1MZy8hh6Bq05etIeM2yZanJVyD+KAz+cWIZ+W+iqXeR8LKTQk29CfGHQZqgcRfEm1VSltKwGTLnVvyFnwS6J1a/YjXs5MYApV5xf4sSTFYwXulXwVsN/AWlHaeDqA4j0jT+sk1u6Xfy749+Di+Y3twYM/UpU3+SgboNcFQ1BrSP2fb1GlXHmLLz/TR07gfpbLOPDUHqf2jsBqRlf9fiMWr9mjIQhdBKozZp8qXylpGT52Y0K0OA4/s+9B4F8fsZGSsyMYr63QhroMkX0e7Dwc8YYN/3c7ThM9D0FSS6GeLNKD7rGedDz94TrF8xUpB4EJl9B4RWR/t+D0MTDPyKoozvZ0WQ4duhec9yV2iF53f/BDTPBBFNB+NNP7Z6FTLGmCqY2uGbMXVI/T78wZth8YY5gpsRwzB8N6opGLqhzLXw3IDiyGajN4dWLXM5OYgH3vQJZ6PJ/8DizYJZ5RKUrYVLGvGH7kM79xgd3IxI3Ae9h6GLt8QfuKDobL3Gj0N46/LUsaA0OnSLG+sUWa9KZQKh1YFSuzopGru6cDJTEr//PIjn+e6QNgtujFlBpfGqcqsVC3CMqSJ/8Cp08ebQfwxFdQXyZoDGKd+kAh4QhchHkVlXLLfYpoQ3cPsrLgTR7SeUg/q9aOfewGBZajTK8L3QewSFX6M0DJyDxv9ZdNbe7Eug7TSQ0rq5lS4JOjK4vPJr/jgetP0AQiUuNArB+9yUi++nYPCc/Ils2JMxZoqyAMeYKvETL0H/L0o4ogFp3g+kGUKrlakWUWTOfXjtf0OynISKCMy4ECo9fWTDNohMLJDSgSsobr2XcRj8I8W3BiXRwctLyt5r+Soy9xGQErq3lUqakeh27v/oJ4o5YOJlNh+K17AJ0n4dNOxQwoFRaNp94uUb/PQAfvf3YPHHKBzB9FejSsaYOqMIvlbnVisW4BhTLd3fLS19w/ZIdEtEBJn2S6Bx4nUIrYKEVs6fJvkMy1/xL/OXVPwO/MFrxn24Jv8DsUou1Flii5l2o5p2a8cknnKTQhQ6JHZj5VotpBkatoCGrQDwQjMhtGG+AxjXrGuZmo/Em3aUy81rw5t1AUwv0ILgDoTwukjzARMr37hWm47tIH4vFQv+jTFmEqjbSQaMmXL0/dLSJx5BdQiRJiS6NTrzEug9Gvz3cR9dD6LbgK+QfJDCV2sj0JI9yNLUW+jAxTD8ELA4SwoPF2CVsTvYwBnQMr4B99r7c8o7o9wEhT+EdmwLGmNpMDj9TKRxB/yhO6H/DPC7ILwxTD8VL7IWDN8IDJW3HpGtQRqQpt2h8XOjuiDK7JvQrm9Ccmx3Og/CW4K+A+n3GNfz2n4nXpZxPl7TZ/GjL0PHl0BfG70ztBFENkKiW0HjZxCZYIBlYPBCSmuVaalUTYwxda6W42OqwQIcY+qVCDp0K5p6x00yoF0ZO4MWhvhj0HI4JP9BwVaHxs/iNS/fDcgfugN6fwSk8xycBq8N/CZgSYGKh4JbgVYMHV/3GNUUpKo121uRhq5bbpP2fB9t3AOGMxZPTT0JnZ/Bn/YnKtGALo07IC3ZW0JEBGm/xLU0Jf8Lw38HURdgRDaD9Htoz3cg9Q4lr4MTWj3nLs8Lw0puTWbVBOgQyLSKLvS6whr6W2npWw6pTD2MMabGLMAxpmqilLRIp8ag72cFEg3B4J9AGkDzBTiNSMvyy0b5qfddq1AxV+39hRQ+KY/AzIsg8QwM/r5A2vGueRLCdaGr90HpidHBTaa+70DTgZB8kbI+Dq+1YBKRENKwITSM6bIWXh2ZfTt+8g3oLHVNlOJafUQa3Hs1C/X7AQ/xrFVh3PyuwmlGhNZCWquwsK8xpu4o4Ns6OMaYsohsBsnHKpDxIPmn5W2E6JZI5EPL7xooZTA9hdN6M5GG/0MT/yqcVY7ucoWICNr0ZRi6kYKtRDVV4LkauoyCQV74U5B6mqLHBEV3Li5dHhJeF8WjlPfF2Nn4slH1IX4/OnQzIO7zELsK/JFuca6LpcpMmPF7vOinxlX/FVuRr5nMRtpvKep1M8aYycgCHGOqpoKDfjVHlyKZBS0HIi3fylGlfOvwjIPfjfb/AWKXFUwqrTnqVASZ9hM0/Z5bLHRSD6YeInfLngfRj0OoGeLFjLEiZ+tIsVQVSELjF2H4puIOkjYKTS2uqmjvMW4xVo25jfH7ciTuhu4D8dtvw8sWlJusVBW8mdnXbRqr/RrEK3WtImPM1CGkKz1bao1ZgGNMtYQ/BMmnKpR55pXbYK2bpt2RaSfnH+sQXhPSb5SxHkmI/ZnCs641TGgMhkgTMusiNDUf0vPR+H8g9ieWD3Y8XGBQzwt+5Oqi5gfTVYcorv5RSD4PDcVMCT2aahodOA9il7gARFpwPw+FWo4aoPUHhV/L5AsuoNFiJ1VQ6PsltOfo4meWo91HFBfcRL+CF16z8hUyxpgasgDHmApSVXToVnfimHq9SqWGYdZleA2bFkwpLYcEi1SWczxLoYDCg6YvlqUkCc+D8Dwkuj3adggaf8oNnk+9COHVofHL0PM96n+8Tj75Jn/IFEf7zoL2q/IGHKpxGLoDjT8EoZWR5r3R2HUQ+ytLnycdKFyczILWI5DmfQunTfyzhOAmkHqtcBoDgN97DiTuLSqtN/NXFa6NMabe2RgcY8y4qR9DO/eCdPVP1KTIGcqkYTO09RgYOLnCNRrRBKFVkbZjyp6zSCPSuA00brN0m2oaleYyrzcToW67xaWeQRdtgc59BM9bft0k957cA9LzGQmcNDaySGkJY7G8NfHm3l90ch26p/i8R5RtcdupzU8tgqEi14Rq+EplK2OMMXXCAhxjKkT7z6xJcAMJNP1B8b1rh67BdSmrdDeuMDLjdxDdFpFQ2XJVP4b2/xqGbgKGQWZD057QciAkn4XobjB8JeN7fI0Q2dSNVZJg9raW78PASWWrf/n1wuJN8KNfRBq3hOj2iDcLAB28AtJvjkk/jnVvtDv7ZlV06E4YPAfS7wARCG8A6VdKLkLaflx6vVZES0poDZ1xQuXqYYyZVGwMjjFmfIaKHKRdCcMPQPNeAKgmYfhudPh+N8tZ815IxE0RrKk3If0uVRmjEl4Xadyh7Nlq97ch+QxLx4voEoid724laYDG3SH9AaTfdvVtPcLNCucPgN8NoVUQCePH76/QjHhlFL8Fjd8DKDrtFLzmL8Jgqc9JDpGNl/6rOgyaBGkMFhLNnEEvDalnS88/tDkS3Xri9Zzi/NgtQJFTQ7edglfENOLGGDMVWIBjTMWUuFhiOSUfd1fT4/+Gnu8AvUt36dCN6LQT8Jr3An/AtUxUIb6R1iPLnqcmX3UD64udRjmfGWfjNX4m6y7xWketMSOzLkF7joX4LZT25EWg+cBgvEuJY1LGJXgP9p2AH1oDiJUhzyjSdgzq96K9P4X4A7jubmXsuhdZrzz5TGF+8m3oK7KVa/qf8Zq2q2yFjDGThqpM+TE4U/vRGVNL3iq1K1s9dPGnoWcfMoMbZxj6TnatEpENQMfRRYkwUMLV4MY9kBzBw4Skxna3Gq8Q0rBF0alFBG/mb/BW/i/eyq8hc5+lqK9TiUDjrtByMBAFaQUaILxxoSMnKAUDvy1DPlGYdR2EN3StNfEHXN4obk2iMkXK6XdG3VVN4Pedhr9wC/yFH8Vf8jU08e+gS9xN+Eu+gL94O/y+U1G/pzx1qGN+4g3o3KW4xI17WnBjjFnhWIBjTKU07VOjghuAOGhHnjQJtPv7bmrZklsSQtD6/eKPa/gC3ozTSyyjSOF1KX6WsTy8mSDTxn24eC3Q+gMKNorrsOs+2HIoTD8DwhtC5GPQtEfhYyckDclSx4ONGSclM5H2G/EaNoDUy8H04mVoOcsmuuyEXP0udPG2ELsU6AHikHoW7ToA7f4u2ns8pF4F/wOIXYZ2/D/8dHGTbExG/vCL0LVrkanbkOmnVLQ+xhhTj6yLmjEVIi37ooO/w13ZLodG8nd7C2bN8trBX1QgL4XkI6VXQVaF9oug/1yKCizCO+LNOqP0coqtTuQjaPjjkPpX4cQ5RaD1uAmtywMgLYeifm+wyGmuE38fYudB7Hpcy1oQJCZfhNC8caxJ1ETxAWqpJ/1jXl9pgnDQdSz9LssFQOXU9IWl/2rfr0GzjTNJQCLLTG46AJ17oNOPh4ZtyjqhRV3oKXYmtEaYfeeE39fGmKkpbV3UjDHjIV4zMvtm8GZPPLOZNyEzzoC2X7r1R7IahvDmwWr2FbqyHloNluwK8TuKSNyIzCpHt6j8pP1C8Caw4v20X+I1f6FwukL1EA9v2rHI3Kdg1g0QWidHSgUWMjowGYL0Amjcm5ICB68VGorsqjRRfveyGdjCH3ETC1REBDp2wO8/Bx26A4ZvLz0Lfz7a/R20Yyc0XSjYnxxUk/hL9i4ucfhTyEpP4YVXqmyljDGmTlmAY0wFSXg9vLmPQfvDTKjBNH4HSgiG74fQ+rnzSj3qZgCrlNRTFDXOQlaHOQ+6wfkVJtKEzLkNQuMIcpr2x2v+annr47Ug/gI3G1tJhmH4b9CwLdDgxudIi2s1oyFL+pDbn3hg4pVeKgxFTB0q4XkQ3YHKtOIkgWEYPBft/SHjn7jAB/89tOfoMtatNlTTaOcBkPp34cTT/og3+3JEopWvmDFmUlLAR6pyqxXromZMFYj/NkqEcbesxP7ibnUvAq3HIi37IBKpWqkigk4/Fbr2LCJ1GEIfhtbDkcadKlIfjT/C+GZJS0PicZh5PqIx8GZBZDNIPIZ2H47r7ugDUfc3vYCJt9YJeGtCeH1I/Juc0w57MyG07rKjZpyJDvwJBi8I6hXCXTOrs0VQk0+ifgzxmmtdk5Kp34fGH4Xe4ylqBry2k/CaK/OeNsaYycQCHGOqIfUWZRkMX/eSMHAmOnwTtF+FSFPVSpbIhmjeMSkRmHkhXgXWV9HUu6jfB6QQbxp4cyaQ2zD0/9mNdRq+B40d67o5zvgDxO+H9P9cK97QNUw8uGlAZt+MhNfD7/9j9jEtAERhxtmjxnOIRJC2I6DtCPzeU2DoCur1Pa6aQJg8AY7qENrzE4jfWdJxEppZoRpNXn66H4ZvcC2qDZ9GolsjYp1XzIpO6moMjoh8Fvg97krZX1T1V2P2rwlcBswI0hynqnm/IC3AMaYawutTlcVmcmqgfJMdFDIEqTfRwSuQ1kOrVKY74dbpv4Xeo1j+sUah9bCyBzeaehft+S6kls0opuVokk89gS7aGPcVnXR/Y3+F6b/FazoZf/iBIKCYiAZoORgZmThg8KI8aePQdQjafjUSWX/pVj/1PvT+EJLjWMyzmmKXQ1v512GqFO05BuL3lHaQNEFo9cpUaBJSTaBdR0DywWUbY5eg3qrQfj0SKsPYSGPMhImbCeY84DPAAuApEblVVV/OSHYCcJ2qni8iGwJ3AvPy5WsBjjHV0LAFrmtRLYSgeV9o3h96fjrBGceKNQzDt0EVAxwAr2lnNHIzGrsaUvPBmw7hDZDGnZHwWmUtS9VHu/YDf+HYPeUqgWXdvVLu1ncc2rgD+IPjzDMKDVtCeG2kaXck4tbf8f0EhWdZ60M7d0NDa7gptb12SDxK8a02YSo2+UUhg+fiJ/6D1/7n2pRfAvW7gvWFShGC0Npu2nGD7w/D4o+T9f3mv4/2HIu05wvojZnaFPC1bmZY3AJ4Q1XfAhCRa4AvApkBjgIjazlMB94vlKkFOMZUgYigNeu+04y0fBsJtcPsK/AXbkB1uhJlGxhfeRJeD5n2s8oXlPhXluCm0gSSLwDx8R0e3ghv1oXLbx84r8gMdLlFOIsmDXgrvYyfeBW6vkzVu7MlH8Yfuhtp3AGRKKopIFR/0yj7XZQcCDZsg8z4df09llrpPJi8z2Hyn/jpJXjjbMXx/RQw7NpqJYxI47jyMWYFMVtEns64f6GqZv4QrQa8m3F/AfDJMXn8ArhXRI4AWoCCgw0twDFmyhtA0wuQUHtwUletE8v66d9bCRovYkarsheaQuNPQ/zu8R2fytGVbOiG8depWOq6DXoNH0FXehmNXQ/DN4P6kHqm8uUD9B6J9o50I3QtbUortB2JNO+LSG2C8kzqtVN8K2AEZj+wwk0H7ftJiF0EiSchtC7SejASWhlNv4cOXgnppwrlAB1b47f+AK/1sKLKVPWDSTXOY6Rl1b1KHhrdDpl+OuKNnsJfU2+j/b+CxBNuxsPI1pBaCDIAjbtB8zfwvKn9PWnqV7p6v9FLVHXzPPuzXZkZ+yW4D3Cpqp4pIlsCV4jIxqqas2uMBTjGVE2U/FfeBcIfhfR80L4ylqvQdxrMvhb8XlfOhLtRFZFH6nn8xHN4DZtOsKw6FbuuBoUOw+BZEzh++ddMNQW6ZAJ5Fqlhq6X/igjSsie07Im/qPyTPhSW+TwMQP9p6NBN0H5t7a/GD91aZMIGZPatyIoW3CT/B527sey79FF06Ao0tBGk/1NCTgoDZ+NrBK/tW7lTpReivb+BxB1k/87zIf4PtOvr0H770lY0TS9GO7/qFp5FQYcgfsuywwZegoHf4s+4BGnY0M1g6LVC5ONTb3FaY/JbAKyRcX91lu+CdjDwWQBVfVzcF/VsYHGuTO3SgZnSVBNo/An8oXvwBy/HH7wKTbtuRer34Pf+En/R5vgLP4rfsTP+0D2oLvsRUz+GJp5FU+PslpOppcB4lNCHYPqvQEtdcb4I6bfcX2+aG4xcEoHIDkDmcUUGSF1fwx/ONTPX5OUn3wZKXecmn2pda8pSjg5Q+fFhgkw7Mfsu7Sji+AiENi5rjZaTeg2NVaElq5Ci6iBI+/VIONdislNYz8Esf6HILzG4yTD4G/zeE1EdHp3j0N/xF26OdmwLidvJ/52XhvR7kFzWC0djV4AOFzjOh54D0cWfQnuPRrsPRTu2R5Ovj++xGFMkRfC1OrciPAWsLyJri2tG3xsYe6XnHWBHABHZAGgE8v54WAuOmbL8+GPQ/R1g9A+X9p+CRneD+O2M6qedng+9R6C9zWj0065LTeJRRq4DaGRjZOYfl+uGUCyv7Qj81EKI/23MnghMOxmv+Sv4AxdSkdnWvNWAYKaxlm/BwAUUP45DR89EVBKFnsPxZz+IF15tnHnUBz/xCsQuA78nOHEpVqGWO6Dxy6BJiN88kSoW1rDzqLuqPtpzfGXLBPDWQsJrLrdZ04so2BoY3hiZdgIa3gQWb0LlJipIw9Cd0LJfhfIvzB+4FNKvFk7Y8gMk8pGK16eeqCbRgUvGPwYsn6G/oekOZNb5APjdx0L8ptLzSb8LfML9n3iW4teESgcXGgAdRLu/CXMetumszQpBVVMi8j3gHtwU0Ber6ksichLwtKreChwN/FlEfoj7wThIM69GZ2EBjpmS1O+F7oPJPt4kVeBEMgbxe5ffnHwW7T4cab9m3PXyZp6K758I8b9D6g0ktBI0fs6tnQLBejkVMO3Ypf9Ky3dRGmHgt1Rt6ur+X8PMc6pTVgX4fWdD7PxxHl1oeu4w0rAR0rwvft9MiF0yznIKicD0k0ZvGr4VEgVm7Go6BJIPQ+q18Rc98v4eQ7u/R973YMPWyMwLEGlAAH/mH6F7bEtoBGbfB8nnofcH+fMrJPXK+I+dID/+NAycVjihTEdac3epmopUFe0+BBJPF048LmlI/B1/yVeh5eDxBTfqQ3iDZffDH4bkM4xrzKMOuGMbPlH6scYUya+jTlzBmjZ3jtl2Ysb/LwMl9We2AMdMKappSC9w/enLPpheIfkCmlqAhMe/3oTnRaFp1+w7o9vB8I3jznt5IWg9Di+65dItIoK0fgu/4dPQ9YUylpVHpQK3KvCTr00guIHCJ9whiO6Mn+6A2FUTKCcXDyJbwMzf440JNHTgIgp2T5NGmH42dB04/rE6LQctt8lPvgOp5/McFIXoDqMG/nvR7fHnPA4D50LqTYh+EpoPxfMi+IOXMPGAfQD1u8bdSjseqor2/QaGipi2OLReME4oUvmK1ZPEE5B8joqv5ZV6wa3rVDKB8Dpo8kV04GL+P3vnGSZZVS3sd+2KnePMAJJzTpIkKEhGFCV85CAoXr2oIBdUFJSoeDGABJEgKCAZCRIlyCXDkHOWMEzo7uncFff6fpzqXDl1mP3OU09Vn7PDqpqqc/baK4EB/0qkj53OczzbX2Rfh8MBTsFxzBJU1VusDfwez4WlUpaJJGgXXgxc+TE1e2J7fsxEt7rCCIJvFWg8CQlukzFoWkwNWq0CoDM50UB/qZanbC5YAWg8Fx26NTVPmf8v5szH+Boyn7d5xL8MXgKDF1F8nE4NEv7K5MM9/5OjXxT6fov65iDhPUeOGl8bNP1icnP/SpOPFUNsPoR3Lc9YOdD422jnt4Bc6cZD0HYXJlDeWk4zBY09CzpYpdmK+Z4rJF6H3p+NoGWHBQAAIABJREFUHioyk7s3XByCny9hAIcjO6qQnD51cCrC9LFPORxFYPsvxi7cEF20Dgz8Bs/nuZJuV0oOt8/SRtcYJd0Zaw9D2q5D2u/ChHbMqNxo4iO06zCqotzgg/pidkWnCcmc9cSyE9yetDWBzIrI3CeA/lQdmnL/Xwhi6rI38U2Oi5lMgtKSEMTBLkR1NB7Bxj+FxIt59B1C863RE96XstzSTHPpY+SBJhehnQeQW7kBQl9bZpUbwKvhVbQ1ZKYRgoaTRt2WHQ5HUTgFxzFjsd0nQv8fqM4ifQxdB2M79kPt0rIPrX3nUbSC1v4UpvE0JLBx1oJ/Gn8H7dgb7KLi5kmLDxrPhPZHILApI4sR36rQ9g9v132mEtiqyI4GQnt5iSlaLgOzIp7RPOAdb78DMU0wcAkwVIxgOU5vljtIuSGXFaUcJNAlu6OLt8T2XYS1UVh6ZP7dk/l9T42vHhrOyN0wK2EIVGfnXAf/Tt7/74H1KyrLtCedBXA2Iu1I698wdUdMtSQOx4zHuag5ZiRquyByV5G9G4FS6swkIPEK2vk9ZM7fSxhnPKpDMPi34jo3XoTx5xc3oH3nUpwLnIGGM8HMg6GrvKBuqYXag5G6b43GSrR59WFUdXZUVq//NgxdWVif1jsR/4qjFpTQF2DOg6DdIDXjLWvJIuNazHKgSdB0FiYDTeflHiK0FdasDLYCmanGEfH09oHzvUchBDbOu6mp+3/YxLve97MY2m6tXuaqoUfybxvcpGJiVBpVhdjTEH8BzBwI74GY+oLGENPsZdHLGrM1GxBkJrvzOmYUeaZwnrE4C45jZhJ7icIsHUEIHwlNf4HAJkALOXfAc5Gcj429VtoYY9DomxSeGCEETb/H1BYQMxB7psA5hrFIcH1MzRcxrVdi5s3HzP0/TP330laAnxXKDamYj/B++XdoexgTXGeSe5iIIKZlsttgsel+bZenNPk3ZNR9x3gV01tvxuSbCKP9HjDT0f1JgBqk4cTCetUfRcF7d2Y1aH8CE1izsH6lYN/Nr51ZDROscA2gCqCq2NiL6JIvokuPQPt/j/b+DF28PRp/vfABaw9m1rup6RJsz+neZzd4PbZjf2zHAdiBv2NtBBv9P+zSH2A7D8f2XeAVE9VYRd2mHY6ZirPgOGYmppWc9TPGEYPYgxC5urxydO2HznkM8bWXPlbfWfm1C+6EtJzvVcaW5sIVCQkUWMdlDLYKFe+nIab5V9huC5Fs6WMFWv6KCRRW70cafoJ2fZPCrWoDiBik/VY08a6XQte0Q+iLaRXOTBgTQOfcjS7aiPSxNoX8zspJABhCOw/wkmEENoCGEzHBzbL2Et8KaMNPoe/M7MP7Vkfa7wJM1euNaOJd8nKt9a2KtE2D4qMFYofug56TmPydVmAQ7TwInfscxuT/PZWar6B9vwctp2vtNGTo7+jQ9Yzb7Op7GfrOYVx8ZvxpdGA4Pi2E1h6BNByPiFvWOXLjFfqc3TaO2f3uHLOXwMYgLYX1sZ9UQBCLdn+vpBE0+Sl28e4FVOKOIxJOWQOK2NEMfiF3m0wENiq+7wzHNJ+LzH0Bafkz0nI1Mu81aHsIGk6B5kuRea9hQlsXPK4EP4+0XQOB7Av3yYRH/v/FvyZSexAS3qUg5WZEBglAXbp4HAHfVLnMDCsAcWAA4s9A14HYRTtik+kLKKoqGn0C0W4IH5B1dGn4H0T8U1NMMfpEXs2k4YSC3bmmGjvwV+j5PtkV9ohXADjyNDbyIGq7UB3C9p6DXbgJduHa2IUbYHtOQe0AACIhpP0WMGtX5X1MHZbJlnwlffIZTT0iMPhntPtHlRbO4ZgxOFXfMSMREbThZ9BbmPtKRYi/jNoeL2C8QFQt2nko2AIydZWa3KDhpxD9FwVnxgruUNX6INMRMXUQ2nH078CKEDiq9HEDG0Pr9SkrSp5JM8K7lTzvWEzDt7CBNaHv12AXg28NCG5dfFxYpdAFsGQLbO2BIHOQ8LZIYAPPVafrW14tEx0CwnhFsS2TLFD+TZHwLtWXPYVG5ufRygehnSsuSzlRHYK+/82vcexR78Hw/87E2Mg4DN3iWbtab/BcPH1zkbl3YRdu4J13jCd6LzbRi/G7DGyO3CRnucuns+A4ZiSqWniwcsWwqO0srmvs2cKUG0IlL2yN/3PQ8Eu8/Y0xFzizKtQcBE2/A5lwgwxui7RcXtK8juyICIT3zrNxA9Lw07LLYMI7Yubci5n3vFcLZvCvFJfhrdIMweBVMPC/aOc3sAvX8ZTD+DOpeinqtSGJd5urxfu+h8G3FtKaR1HNCmFtAuL35NFyblHWuKlC1aKDN1N8mvt0iV8U4m9A/OXxh9vuL3KOYlmNGRP/0/+bqZbA4ZgWOAuOY2ai/ZCshMvZRPx4dUBysPT7aPudBbu76NDdBbQOg28eUntYQXOkw9QdhIa/BJEHAIXwLohvTOxIzd7Y+DtgPwP/5l4KXkdFUbsUoo/k17jp96naIBWSReOp9NW54oJCUPctiL8OscfxFIuJhXYFqAf6KiMsjJkvTayQBKH+RIQY+NfxlPWpcEsbpuPQ/NoFZ44rlmc9++ZkRaQsWEi8Ny6TnAl8Dms+B/bTCsw3AWnAzLsPm1gA3d/3CnpimLYWpMi9QJ7xnI5lFmX2Z1FzCo5jZiKhAjsYcrtkBb0if7YX/GtD/X9B4h2IPgm+FSD6NGiGG2ryHbTrWKStQCtH5N7cbXzbgc9CaCek5oDcxRvzRHzLQ5Z6CyawFrBWWeZy5Eb7fgfak19jk76Aa9mwXaB5KPamEan/7jhLgyb+gw7e4v12AutC7WEYXxua/BSNPApD90DiaaqWuEAtBLdAAutVZ75c2HwKnAaQ+tJi+6qJDl4H8VcoqUhxRgT8a6AaQQdv9coDJD7LfC3OiyDePSGPxB7ah7UJ73rZeAqaXAz9f4LkGyXMX0l6UbVTq8Q7HNMAp+A4ZiQiQVQavboieWGBBjLvIoehZi+k8VfjAvdVd0Z9K0D0MdAcsS/xR7ELN4KGnyG130DyUsJy3GBb/4EJLuNF/pYVIveSd5rwCmW/UU2gA3+Bwb+Tc7EqDUjr3ye5UYl/FaRxcrCz+D6H1B0MdQen5hrecEii8Q+h+7/AfoyX6nolYAC0HFn7otC5L7b2CKThZER8ZRizFHIpdmGk+Q9Ijmxx04qhWymutlYe+Nf1rvUd+0HyQ8piOfFtAOHtYeAaII+YxsUbooXGLBaEgH8TSLxKXh4DOdDoE0h4+9LFcsxiZn8WNafgOGYkXt7/Qm84fXipZyfcIH3rII0/h+BW45Qbm+yGjt0KUKIAotB3Gjr4Z2i7M7e1JbAJxJ9Kfy64h1NuliXEn6dRQ5AKVbbX7uMh+jC5F5F1SPv9JbnJje4wGyS4Fsx9ELX93rlU5jAb/xA69wX6i57HIwmDf0FjL0HbdVO7u23WBvt2hpN+mPsiYmbYwqOsxrixacmN5xLWuUd5Jwl9Aak/Do29DPF/59GhksoNQAgafwI9P0kpcSUy9A9PgXM4lmFm2FXU4fDQgUtA0wWl5iLNwi35Ftp7Nhp7Ch24Bo3ch018DEu+XKByM3bMT9Clx+Ru13gm6YNXQ0jL74qb2zEzqfkGkIfVL7wvYmrLPr0m3k1l18tjh7z1yorEAImpH5cW2QRWRebNB/8e5Zkg8Twa+Vd5xiqW1ksyn2u7CzMDlBtNvI/tOgq7cD0vo1nyzTKNLBOKzlomx3SVAfsZuvS7eSo31SAGXQeVRblRlGkbH+SYVlikKo+pYvpfSR2OCahGof/i8g6afBOWHon2neHtYnfsTMm7xvEXclbsNoFVoPV28K02fASCX4K5z7qCbcsYUnccBNYDqQWCIHWpWk8teEpwHdQdj2n+VUXm18iD5LtTLf5VcjcqEyKCab8AAl8sz4A9P5/Syu/GvxK03AmMTbneCm0PYQKrT5VYeaPJTrTjAIg9gedSWc7FtIL9sIzjZSByG8Qeqvw8eVNeC5HGC8nM6XDMTtwKyjHzSC6isjtUecZB5ETRyEM53YlMcF2Yc1+Z5nTMVMTUQusNEH/OS43rWwlCO1RP0U1+nGdDf+FFdsuAabsc23clDJxLaTv63ejAJVMaxG9C68ByGVxTpzk6eBWVzYjnKBZN/cO+RKJjfyS0Lab2yIpmXHTMTFQhOcuzqDkLjmPmYdqpWgamkvAhlc525ZhViAgS3BKpOwIJ71RdK57N9zeVQAeuqagomTANRyPz3gRZobSBBi5FtUJB8bOdoTwyPy4T1IBZDWgCszzUHAA1h+AVmJ1qLCReRAcuJrnki9jYS1MtkMNRdZwFxzHjEFOLSito11SLkgM/hPecaiEcaVBVsJ1g6hCpmWpxpgfBjSF6U35t+8/ExucjjT9FfPO8jGh2KZiGihenFBGYez/adz4M3Zwq7FloemIDyQXgn/4uYdMJO3Qv2P8U0GNswoAKEToc6r4OS48FLbLg8kTMOmDfynzetya03YRJk0RGaw9CIw94SUOSXTD0dyBWHrmyMGK9mUQU27UfNnwovqZfuPTRjhFcFjWHYzrS9Fvo/hbZ3cnSZEyrCjWAhcbTxxfPdFQdVUWHbvPqVtAPZh5Q78VcpSrea2hnpOncigTuzyhqvg59p+bfPno3uuQ+lCZgdLNBzSpQ81Wk9kDEN6/8cuKliZfGk6DxJDT+Gtp5AAWl19UEmLkVkW22YmMvQ88JhXWS5UA/q4xAAIGNMS2p7+y8J7GLtsy/llQmZDlkzm1oz28gctWEky3QcjkmtFHm7oF1kcC6AGhyERq5CbQyCk5mpSYNkWtJSgx/U2Vi+ByO6cbsVt8csxYT3g5pvRp8m5D5a1xt5SYENYciTacjcx/F1O5b5fmXTdR2oYl30TSLCO34f9D7Ey9w2XZA4jWvyKT24H0/EhC9D128A3bRNtiF62M7D0QrUpF9emNMCOp/UWCvJGOVG8Db4R+4GO3YHY3NB7yaN5r4EE0uLIusY5HABhD+RgE9wlDzjXHZ2hzZUY3D0u9QcHyib52KyOMRRhpOHn+oLo/Mldnwb4G034qIH9N8CtJ+H9R9F2qOQFquRuY9lVW5mYj45iEtV4JvRdJny8xGIJOQ0HoXzJ2PUmAs3NCtXqFSh2MZwFlwHDMWCW6FzLkJjfwL7TkZtNRaGaVQA01nYWq+OoUyLDvYZAcs/REkxgdqa+irSPN5QATt/iUk8/U97xv1pIm/gHYeDu23IP41yyj19MfUH4o1Qeg9ldIyO1nQQbT7f9DGc6D3ZLC9gEX96yAtFyC+0uJoVIdg6J9ofD74VgH/ZpB4IUsPv/eoPRhp+J+S5l7miNyXu9DxJAIQ2gQSj5RJCD+ekhCEwLpIw4lIcItxLaTu22j/n4DBAscOQtvDmMCc8eP5V0MaCrRaTUCCm0P7g2AXoL1/hOitefXTkQ26UQuNEIbWaxBfI5pcQOEJcZJo4h3E56yXyzqKYGd5kgGn4DhmPhJmypMOhPdxyk2FUDsIibdRwl7to+QS6M2w6IjeiXYnPEtN3lnB0jGE9v4aab28hDFmJqb2AKw0Q985YD+jJEXHdkD3sYyLkUm8inYegrbeiPjmjCuumy9qu9DO/b0YBwbx6geZ1PPEeBwDTZcioc+DhF369SLQ6L8o+HvQ/EfEvzo6cCElZ6aUFmg6FwntgIgvczPxocHtIPZArgEZuWdIA7TfhfHNydqjFEQEfJ9DWn6N7VsJBi7Bc6nM/Jl6Eo53QVOph65jgB6Kvec5t2nHsoK70jtmPsGtgMw3vfzxwZwnEfGjiS7o2iX/rpE7gDPKIINjLLbnVBi6kYJu5tF78Nw7SlR6Y4+ikYeR8E6ljTMDMTW7ouFdgAg6cDv0n1bkSOmC/y3YBdCxI2rmQNPZSKiwquvadwEkFzIad5Oax6wIptlTcKmF8B7QeAbGZHL3ceSFDNdiyvWbqoXAVtB0BiLqJZ6oORiGSsy6pxEYvBpC25HrWi/1x6Bd/weky5Lng9a/Q+JDSLwDgc2Q8M5FKdnFYhr+G639Bjp4Awz8iYKuU7qk5PnFv2rJYzhmB1NZhLMaOAXHMeMRCULLn9Guwykt7ibp7fCaMJp8ssC+hWZxcuTC9pwJQzcU2bs88VfafQrMe6KqC6Dpgohg4x9D/Bm8xBlDZZ4hkaoo/z1ou3EkMDsXqgpDd5A2qYD9DGm/GTGtk885ikZqD0CHbiG90pCi4WxM3QGoXYou/T4af8nLJAZgVgb7CcVbA4cg9iw6eANSd1h2WYObo41nQN8ZoEm8a3MIQrtD408xvhYIblqkHOVBfCsgDSdgY/NTv6+qzVzFuRyOqcUlGXDMCiS4OQS3LX2g7u97z7ECFRzfyqXP7RhBNQZD1021GECn5xa3DGL7LoLOr0L0Lsqv3Iwlgi79DnbgKtTmjqPTnlOATO2SaOfRqJ3uKeRnFhJYHxpPI+MCWZbD1B0A4Cms8eeBKOiA97CLoabUpCsx6LvQU3BzYGq/jsx9Cmm7HpnzCGa5lzAtv/GUm2mEtP4VQl4pgYnvqqAMafkS3Ku84zlmLApYlao8poppq+CIyIci8oqIvCgiz6WOtYrIAyLyTup5el2tHFOGTXwKifdLHyj2qFcAMJB/phwAGn9d+tyOUZKl7PaWmWWwTo4mF8HABVQtts1+Bn2/Rzv2yqqcaPxliNyefazk62jHYXkthB35Y2r3TxWyTEP9twHQxMcQf5XJ1rUIRJ+Gpj+Qftkxx6stk5MuiD2Wl7wiQSSwHuJbLq/2U4GIwbScD3OeRQJboJB6VEC5AUzz78s+psMxXZm2Ck6KnVR1U1UdTpXyE+BBVV0LeDD1t2OGoxpBdfSGqMkONHIfGnvWKyCYA5tcAh27gC0lqHxkdkh8jNTsTX4VqQVarsaENivD3LMXVcX2X4ld9AXswo2wXYej8dczdzCtTI/Lk6/ihSunIxq5n+on7hgC24n2XZSxhUb+TV71buwHkHi1fKI5UE1C5K70JyN3es+2k4ye7/Zj6DsP6n8M1Kba+SC0HzLvEaj5Wn5yDOZZjHYGYXxNmLbrkDlPQd1/Q2B7CO5K5lTRReDfFGOmwzXVMV2waqrymCpmWgzOPsCOqddXA48AP54qYRylYaNPQfcPQLsBUN/6XvG9+L/xFrd+kDo0uA1ILRLeAUK7IDJ60bd2ADr2o+QsPWPxzUEkgLbdAV1HZilUF4L6YzGhL5Rv7lmKdh4IiRdHD8SeRjsPgvbbEP8ak9qLaUb9G+dI+1sFag6a2vmnjHIk7SiGOEQfADIVHM3X3cFCckHhllhHZmynF+yfjviL2K7joPnXZE3RbD+B5AJk3rOe25q0IKY2FVd1Y35y6OyNdzS+Vmj44cjfmlxIsmN/0DLUj0q8SGLpr/G3uH1hx7LBdFbnFbhfROaLyLGpY/NUvdVm6nlSMncROVZEnhOR55YsKT3jiKMy2NirsPSIEeUGgOTrEH8E778+FRyqXRC9GyI3o90/RrsORlM3ONt3CSzevDwX/xHCiGkGwARWxcz7NzLnSWTOo8icRyC8N5g54F8fafoVUndcGeeendiBG8YrNyNE0I6DsfF3R46oJtDEB56bkn/16gmZDmlFGovNHjazkZq9mLKAZKnNfM4UkMrXv0HpsjhGMc1k/U7E7oe+P5DT8jd0s7dJZVaA6EPYjv3QJV9OuaXmFAJZhtLxi285zJyHwJdfAo6cRC/HJvL5nB2znirF30xlDM50tuBsp6oLRGQu8ICIvJlPJ1X9M/BngC222MI5YU9Xeo4volME4q+iXceipi0V/Fxm6o6edEh8baOvm39X/jlnO32/zHKyGzr3woYPhNg7YJ/HW0T5PGteVfB7qW3jL+BlXKqFmkOQxh8tk9nTIGVBq/8x9GeLLauB2kNg8ErK585WA7Xps2SpJqHv9PyGCe6K+Fcsk0wO8GJaNLx79hioob/mMdIQqjG0+1SI3k5BsXZmNS/19zKEMUGk/U40+i9sz29APxhz1keh3gu29xxM68VlldHhmI5MWwVHVReknheLyG3AVsAiEVleVT8TkeWBxVMqpKN4ii7CaCFeaArnfFPczkXqv1+ETI5M2J6zyesGHBmbDloZTiFcHcJI/bcKrsUy2zH1R2NDO0Ln/qTNWtZyBSa0Bbb2QBi43KsronWQyC8IfDI+CO+O1KYPZNf48+QVf0Mj0nJ+kTI4shLYMneSh5z1ciy6aMPi5g9th/cdmLZLl4ogIkh4V0x4V8CLaRzefEnGP0Q79yC/3wapDHeOZR1l9tfBmZYuaiJSJyINw6+B3YBXgTuAI1PNjgRyXWkd05Yq/bBqDkHmvQhN54M0pWlggBaoOx7mPpq1SrajMNQOlljgr1oG2Dj4V6vSXDMLE1gdmfcM1B6Dt1HgA98a0HozJuTlfjH+VTFNZ2HabsC0XwnNl1PwAtS3HrTdjWn+DSIZbkt5JBwBIEe1e0cJ+JfPo1EFf7dDf0UXfR4bf69yc8wAxlqWfYFVkfofknfcnGmvjFAOxzRjum6DzANuS/2I/cB1qnqviDwL3CgixwAfAQdMoYyOIvHSt7YAnZWdKLAjpumXAEjNnlCzZ2Xnc4wn8dZUS5AHYQh9CfF9bqoFmbaI+JHGH0NjfvlcTPiL6Nyn0aF/QPQJkCCEdoTABtB7LsTn47kCBrwkAPWnYEK542UkuAWah0uO1BZXb0XVovE3IfoYaA/iXwnCX0FMQ1HjzUqkWm6j2YhD50HovGeWWRfSiZi675BMvJU5y90YpOGUKkjkmAlMZXxMNZiWCo6qvg9skuZ4J7Bz9SVylJXIP8maaadcJGfCAnt2oRqH2LOgUdS3POWx1IXwFsSFIqlHpp3/Oqg9GGkoJh7MkQ0xDUjd4VB3+PgTbVcUP6b40JoDcxaAVbNKwd86G3kQun8IxEbHQaDvf6H1b16hSwfia0MJAPEplqQH4i9DcNIyYZlExOBr+h3J2Jtg383cMLAFvnAZCmI7HDOAaangOGYnqkmIPor2nUtlK6OnMCtVfg4HqorqEPT9KpXqdayLSj2Zq87nSxR8G0DyTQoLqA0hjT+F0G5o5J9e3FdgYyS8C7IMFu+c6dj+y3MqNwB07oI1y0Hwi2CCQDMS3h4Cm6Xd8df4W9B9HJO/Wwrah3YfD+33eee1F6QRkWXz1im+djS4dd7FNiuK7ZhqCaYVIgbfnNtJ9l8FA5cCvWPOhqD+FPz1h06RdI7phuIsOA5HWVCNoV1HQeJ10CpYbxCk/pgqzLNsYwdv99yOyLTYKFW5SZF8w4v9SL5PQUpOeHfEtCJ1R5RHDkdVUU1C7DE0/jb0/2/+He1CiIzWVdHBSyG0GzT/dlKMjw5cTdbvVPJjtOcXELkZL5Bb0MB20PInjFn2isDSdB4s+QLVLwQ7gYCz3kxEJIS/4TvQ8J2pFsXhmHKcguOoCjp4I8RfBTIUiis3vk08v39HxdDIvdB7KtX5P7XgXxsCG0PkliztakE8tzRp+gNiWqsgm6PcaOIjNPYk9F8Ito/Sv2NxiN4P0X9BeDdvDrVo5IE8soIlIXL9WOkg/hh07Qftd5Yo18xDJOi5702lgmNWRnwuWN7hcGTGKTiO6jD0D6qm3ADYtyD2OLjUvxVDu88iv//Tci2GLKb5V2h0D3TpcYyPy6mH1qsRu8CbL7g9YrIUjHRMO1QT6NAd0P/blPtRuRfQcXToNiS8m6fcdO7rWZSLJfEWduhOiDwAdjGEdkJqD5n1SQlUp1i5kXpovWrq5nc4ZgnORc3hKAcSqO58OoQOXutqm5QZVUX7/giDF5H/Iqcci6HQSAVzCX0J5j4J0UdQHYTg9hj/Cql2G5VhLkc1sdEnYPAWiD8LdgmFFi4sDO+GroPXlKbcDNPzY0bqj8SfR/svRJv+gKmZxblwuo6kqgpOcB8IrAHJjyCwAVKzD2Lqqze/w+GYkTgFx1EVpPb/oT2vUV0rTl/15lpG0N5fwdBV1Z/YvzaEvjzyp5h6qNl7lpcpm71oshMduBYGr6JscVo5EaQmVVlg8NoyjTmxuGIUer6L7WmAukOR2oMQ3wppe05nNPYSOnQraMRz6Yu966Ugtr1AqQV4BQhCYFPwrwKx51KxdRmI3Q6Nd2P8a5Y4r8PhGEYRZ8FxOMpCeB+vvkSkWj7rYQh/pUpzLRuo7YGhci0MC0Gg4ceZC0A6ZgyqivZfBgPnVX9y/4ajcXm20hstfTDwJ3TgUjT0daT5dETCFZ6zdNQuRXt+BdG7GFHeIreVb4LAthBYBwnvhaRSPFs7AIs3J6tVqOtomPto+eRwOByzHqfgOKqCiEGaf4vteK88riFZqQX/GkUX/HNkIPEhXrXsatfA8CPBLas8p6PcqCrauQ8k3pyC2QVqvgGJd1H/mhDaprwL94woRG9DF92GmtWg9SqMf/kqzFs4tueM1AZGBd3PgptgGk4Y+VM1CT0/yz2nXYjqkEvv7nCUETvLfSCcguOoLnXfhp4TcrcrFN+a4N8S6EbCX4bwnogsgylcy4zaAXTgMhi6A28RUkzBzRKp+ZqrWD4L0L6Lpki5AVDo/y2qFnwrQP2JVVJwxmA/gI7d0XlPT7uFuu04EBIvlDhKwHM7iz+buUloz5GXqkm0+8cQvSe/4TVRnrrBDodjmcApOI6qIuE90Z5Tyd/vXsC3bqrIY7pdPoG6UzANR5ZPSAcANrEIuo4A+wmjVhtD9QKMBWhC6o+v0nyOijL4l6mdXwe85+R70PO9KRIignb9BGk7f4rmn4ztv6IMyg3Qfg+SeBftfpm0GyFmLUxwXSBlzVt6NMSezHv42Z6dzuGoKjr7s6g5p3ZHVRExUP+TPFoGgVrwrYy0Xu7VP0n7dVUYOBvb+S1s0lW2Lgc22Y9dvCt07ODtOo9zSbN4bmqVwEDNt8C/CZjVoPYIZM6diG9eheZzVJdSkwkYqDn0aUEWAAAgAElEQVQYqIb1I+B9BytB/B6srbabZ3o0/jr0n1v6QHUnYPwrezFOwS2A0PjzvrWh/WZsshs7eBvaeWBByg0y8xI1OByOqcVZcBxVxSY+hug/82gZAxR8q6G9F0L8FbzFdQbij8KSbbG0gH9jSL4FvnaoPQpT+7UySb+M0LkP2I+zNCgijW9wb4jdleaEwVNmFeq+hWn4YeFjO2YIDUBv4d1qv4eEtoTg5ojUoA0noUP/hP6LQUvN6JVpzh8hDUeii7cGrUA2xqHroG5qrc6qinZ/v/SB/BtjGr4LpDawWi6DyD3o0J1ACKk7CE38BxbvQFH//wDBTUuX0+FwjKDMfguOU3AcVcP2XQQDhbhmxCH2SIGzLIXEv72XiYXQ+z/Y/t9B250Yn3NxyITaQbT31xC5Axgs/wSJ96HlJuj5EdhPgbC3Gx9YGyHqFeb0r1j+eR3Th4aToe/nhfcbvAKCG4/ErYipR+oOxCaeh6HbybrxUSyD56LSDw0/h95fUPb09omPyjteMSQ/gFKt3sHtkZbLxh0S8UPNV0fqVtnBf0DfucBQ8fPU7F+CkA6HY1nEKTiOqmCjT8LAH6do8gWwZOdUcO/s3rEoBtUo2rEn2ArthgPY12Hwr8ic+7wFkGOZQ2oPQAcuzWEdTEcU7TkZQo8jEkJtNzp0V+WUm2EGLoK2+5CWS9Cl38GzKpeJ4DblG6toCv3sBGiH2m9AeHcksFZ+qa8HLqQk5YZ6JLRdCf0dDkc6nAXH4SgHPSdT0cVITrrRvvORRhewPozaQYi/iEafqqxyM0z0TrS3Bmk6q/JzOfIilkjyxDv/4c0Fi0kmFWstdeEgu2y0Fiu3NZd1LhFB5j6IXfhl4JPCOmsv2nMaGtoBek7BUzbyvZ7UAQOFzTfMwCVI82/Q2qNg8M8FdjZklDH+HtTsWpxM5cK3BpgWsHkqH7WHYRpPLXye5MLC+4yl7jtuY8rhcBSMU3AcFccme8EummoxYPBqcAoOAHbwlpTrTRl3pfNh6Fa04WTENFZ33mmMqhJLJHhncSfvLuykuTbMlquvRF0oiLVexjpjyrPAs1Z5+r2P+HRpLx91dHP1/z1PwtpJifEuuPdxTtr7Sxy6/WZlmXccrf8LXYdRcCxX5LbiUjs3/wH6fweJNwrvq15iBKk7Ch28jMIyCGZpO/g7aPyvwuUpIyICzeejXYeRV/r3wb+jDT8uPP2+f43iPnsAwkjdgUX2dTgcmVDEWXAcjpKJPz3VEqQochd3lqHx16H3NKpfsBPAQHIBLEMKzvuLuzjllvt447PFxJMWnxHCQT8rtzaTTFjeXtSZtr6H35hJyoffwHZrrsqh227KNmusgt+XfyLMxb39HHHpjXT2DRCNJ0mmlKdx6/CUHHGrnHPHI6zc3swO65Y3m5iYVpQARSWrKIbEm5j227Gx56Hre0BX/n1rDwJAfO1o3Xdg4C/kXwsquzJk+27CNByQvywVQGMvkP/7SaBLvorW7g2B7aD3p14cDwA+qDsO0/Dfk3pJw8no0m8DicIFbLkUMeW1JDocjmUDp+A4Ko9vugSPt061ANMCHbyBqVFuUkyb70Pl+HBJF0dfcROf9Q6CgIxZ6yaTysBQnDc+XZJ1jIRNuTcJI2vlhIV/v/0h/377w5F2rXU1fGnt1Xh/cRetdTUcvv3mbLPmypPG++kN9/JxVw86RpaMnj+p49+98h/cesLhrL18e/Y3XADiXw31rwKJt6lKTSXrZe4ywc2xc+6BJVvn18+/ISb0RcCzshH8guduFbmX/JIO1JI1YcfAGTCFCo4mF0D/OYV1sh9A/x+BifGUSRg4H6uDmMaTxp2R0HZoaPc8s2eOIbAFJvSFwvo4HI680VluwXF1cBwVR/zrgrRkONkMjb8Es0b2Qcyc0gVp+mXpY8wGYi9P3dy1hyKmfurmrzBPvPsftjj9j+z5h6v5rH/Qu8JKjmX8GAVm0vGJr9Pcj7oGhrjthdd56ZOFPPzWBxx9xS2cdvP949r89u5HefK9j71pJPUw6ccbiwI/uOr27I2KQFouBd8quQUoB6FdRl4aXwv4NsjRIQz1pyBttwBgbQTt3A+WfieVZTDP2J9ALve+KKqlBN+Xhg4VqHDkw+Bl6Y9Lgb9537pIS6ExTw6HwzGKU3AcFUdEoPVGkLFpmgVCuyJzn8bUHgItV2YeIPAlzNzHkbZ/AIHihKj7IaZmj+L6ziLswF8h+XZlJwnsArLShIMG6k5EGn5c2bmngA86lnLz/Fc57bb7OeYvtzIQSyAyZumueSzjJyoz6RSaXIOM6Xfz/Nc4+/aHWDowxM9vupcr/j1/5JyMb5qTj7t6efi19/JsnR/iWwFpvw8az6GityFpRybWUGn6BZmL1Rpovx9TfxQigo29Bou3hcSreFYbS95xa4EN8Wr/ZCFe4d9iNrTUwqsZhtXYmNeKRh6A2KN59q6Dtn9i5twxqzdCHA5H5XEuao6qYAKroHOfgdgzYDu8on2+z405vzy2Zl8YuovxC4g6pPl0ACSwPrRejXafBvbdPGYNQ+0xSMNxiGRa0Cw7qCah/wIq554mUHss0nACIgab+NQLLg5sjPHNrdCcU8ffHp/PhY88TX80ht9niMWTk7SGTMaZSSiZNY68Bxnf/tqnXuKmZ18hnrAjcxSbjOqka+/m2bOPK2s2KxFBavfDSi30ngo6hKdANADdZZolOElmE9wUW/tNGPwr4681LdB6Jca/HAA2+gQs/SZFu9GFtob642DxRhka+L0sZlNF+GswcEnZh9Wen6DRJ4A4aIyRos058SHz5nvFQmcpNrEAEu97KbZ986ZaHMcyjq2GBX0KcQqOo2Rs9AUYvBJIQvirEH3Ee0id55JUdxQiPk/JyOJTLY1nob5VYPAasH0Q3BJp/CniW2G0TXALZO7d2I5vQOK1zEKF9kSafz1SHNAB2G7QfAOKCyUEzX/AhHceOWL8nwP/57L0mZk8/MZ7fO+6O0bXbOKlWx6riIzVV0RAs1lxcq39dMxzvvejlCyxpM2t1GRSoJQR61MknuDljxayySrL5ylA/piaPdHwrpD8EKQRJIh2fD2VurzUGJ30/U3jyWjN1yH6oDdfaA/v+zrcy/bC0m+XML8PCW6DiB/beA70njK5iX99xD85VqpamMAaWFqApeUdOHJXcf3qTwHES4Ki/RDYaEZfv+3gI9D7a+B9dML3SBEIbIVp+TNiaqdEPodjtuMUHEdJ2O4fjb+hRf81+lqXQv9v0firSMvvc44l4kfqvwv13809sX+dzApOaA9My/m5x1jWMI0gvjLHdddDYA2k/gQktG05B5529EWi/OzW+3ng9ZT1MJ3ikEZZGI57GQ7un9RtWHGZ+DxpkMlj58XYedONPVbmLOO/9smiiig44P328a85eqD9LrT3zOLSQo8lvFPmOQNrQ2Bt7/WY46qK9pxOSZZO/0YjBW1N7f5YHYC+80AMqAX/2kjLn4ofv1y03QGdO0y1FBDYEQnvgHbsCsklgAGxaMNpmNr9plq6rNhkEvouhMjVeJk6J/+IZMKPTlGIP4Pt+TG+likqgO1YplF1hT4djozY2Pw8dusSEL0bG/9vTGDNHG0LIFPSAgB/riDiZRWfF2CdeLZ8Q7bdgQnM/qxoNz7zMmfc+SDJQqwojFnqyMQDHkaEk/bcgeVbGjn+2ru882ZCO4Wd1luNVz9dxGA0zkC0wIX3sPVoggzjskNPUMzSibtcU454kjIiph6t+2Z2Bce3NjSdBUuPA12cvk1DGstJFmziE+jYk/xTJ2fAv/q4P03dkWjN/pB4E0wb4l+1tPHLhAnMw9b9AAYuqPLEK4MdBF891Hwbar+BLtkJdEy9NAV6f4EG1kUC0++arrYfXbwzxVjABEFRNHo/agedFcfhqABOwXEUT1++/tsKnfuj7XeU5JKhmkQj90L/RZDMEoOjBdS5mOWo7cb7mSu65Gugn5Z3gsTLMIsVnJc+XsChl984WjOmGOVmuJ8wkoAr6PNx1r67ssdGa+P3+XjwtXdGmunEJF0K/2+Ljbno8NFF8wMvv8MPr71rcnz+BGtMVnEnvqU0b3FY8RGBHdZbNdtoZccE1sVKA2jf5JPBnTGt3vVHW/6Adh3JJIuLf2Po2ANrWqDmEKT2q7mLVHYdQsnKDUDkDjS6BxLaceSQmDoIfr70scuMaTjOszANXlG9SRWgE5Id0P9z6D8bSJdRLoYOXIk0/7Z6suWBqqJLvkwpsWIjVh3tx0sp7nBUl9meJtopOI6isImFEM83Mw7AINp1NNQfjQZ3QHQQfHMQM7k2jdoudPB2SH6EBD8P4d0Ai3YeDInXyemnE32skLcyK7GxV720tpq91krJBLao7PhTxKLefo792228vahjvOtYOiaeT1lhhmNvjHi7tT4Ev99HW30N5+y3O1utPpppbpOVV8iWCZoHXn2HL63nKTiJpOW0W+73auuMrQM6zs9qjEtaBiYqNuPey4SGqhBPJAn4qpyso+WKlNIxXCTSgDQiTb8YFS+4Bcx5AB24FuKvgQ5A4hVP+Qawn0DfT9GBS71NFhIgdZOSD9hkH9iFZRI8gS49Fp37EsbMgDiSwOZANRWcj8b+QdZ6QbEssZZTRewp0NISYSiKSn15SiA4HI5JOAXHURzdPyq8j/0I7T0dRkIuBQ1sgbReDrHn0f5LvEBj28FwhLMO3QT9vwebAP0sv3mS7xcu2wxHNYlGH4bkZ2BWhZ5jShyxFi/7UZbq47ISxj/7sqOdd/ejXPHU/NHFfj6bXBPcu9TCMV/agncWd7JaewuHbr0p9aEgg7E4yzc1TFpctzfUMbehjsW9A5MUFYC6kGd5+NfL73DWbQ/SOxgbl/Z5pK1CyG+IJu2Ek0xWdnTMQ7JkWEv1O/XG+znvsK+UNZNaLkxwU3TOQ15x2sS7ENgMqd0fMY3j2olvBaTxJDTxPtrxFdLWqrEfwuLNUZJ41yAD/q2Q5l8i/tXJO/1zISzeEpZ7tfzjlhGNvw69J0+1GJkxzVMtwWQS75TUXVM/OtN4dlV/Tw7HKOJicByOtCReLLLjhO3i+LPoos3w6lKkiy2IQfLjAudIohpBJFykjDMLG50PSw8nqzJSCNIG9cdDzS7QewFEbmHS4s+3IbTdVJ75pgn9kSg7nftn+hOpzzFbMD5MUhjGWkwM8NS7H7PN6itx5Pab015fB0Bzbebd/D8fvS9fP/9vk8YNGkNX7yAbnjSaqGN4Lh2O2RknVoabVjorVDo3tgxxRve99A5vfXwVN//P4YSD1bt1iG85pOGHGc9r/HV08FpIfALJBUAyy2hjfyMWEk+hHXtD+30Y/0pYApQ3jXoMG5mPCU8/1zRIuVp1fdOzemXDvyUkXqIiSmBWBGr2rvKceeBfreAu4zOp1SDNl2DC25VPJofDMY7Zm3DeUWHKucCxlLs2i2oW35xZhGoMlh5K2ZQbgMAmmLoDMaYN03w6ZrlXkXlvYZZ7G5mXej3nVoyZPbWFnvngY7Y+5+LMys0wMqojhPw+/EYQxXMXGxO8b4FXP13E5f/3HDv8+s+8+klu16e1lmvnimP2IxzwE/T5CPl9iEIiarnnhbe9QYcNE2OtNxO+6rFEMv9sazI6xqREBGPe0/Dzf7q6ufT+J/McvPLYwdvRzgNh6CaIPwn2P0WMkkA7dsV2HAiBPBQRsyG03QqBLfMbPvZAETJVB43808t2mYvE81RHuRl7XzFg5iI1+1Zh3gIJbgsUVsNICCDhH+Fb7h18y73slBvHlKMqVXlMFc6C4yiOmgNh6OqpliIjIqGpFqEq6NDtpHXHKYXYQ9ih+zA1u48cGnajyBmkPQP5ZGkPR/7l5oyWi7EMr/dXbm3i3uO/yVA8wa/uepi7X3mLSDyBTadYKBx66fW8eMYPERGstVz64NNc/+TLRBIJtlx9Rb6945Zc9/iLvLVgCVuu9Dne+GQxnQNDnuLEqPuYgvffbRixyIgF9Xmv/T4hkVaIFBnSWNcG/Zyw1/b4/YbTb3lo/GcxwWp1y1Ov8sO9pz61sGoUen9BWZICYCHxAnn5I9bsjAlsiDad46U1zoVv+mUAG6Hn1DwbZrOKlYsaqDvKU1Y1DuFdkPoTp2WGMREfzL0H7TgE7ESXaB/UnQV1e2PMsnEfcjimI07BcRSFNJ6CRv/t+bVPO9pmdTXsccTfqMy4fWfCGAVntnLL/Ff42e1e7aZcrvDD6/yAEe7+4VGICLXBAGfuuxtn7rsb8z/4hMOuuGlSNjIFYlZ5/oNPOP/+x3nu/c/GLaMffv19Hn79fUzKYvLeQi8LoFgmxQBlzHWgsOqcZhb29JOwiezr9LGDCNQE/Hx75605aLtNuWP+G6On07ngAUlbZoW6WOKvU27Lb+6MEoLU7OG98q+CBraC+DPZh5Rp8nmlJYdrWtH4KFgpCu6EaTgBGk6oiETlRkwrMvdeVC2gntLjcMwQlNlfB2cZWQU6yo3G3wK7KHfDqaDxV1MtQfUIVUgJsR2o7anM2NOEQy+7YUS5ycZYTy0E9v38hsSTkxettz7/WvpUy6nn4669k+c++GxEZxn7ALBj06gJo1aaTEKl+FxLA/ecfBS3nXAEppD7lXrxPSd97YscvO0miAh9kSg+M/62ME7HEth903UKmKSCSD3lV3DA+3DTxe8J1ByG+NcYPdJyAUhT9uF6Ly6rdOVCtUJWGf/mMPfFwi1XtfugWkZX2yohYpxy43BMQ5yC4ygY1Rh0HUT6ugXTgOT0zlpUVvzrVWhgg7cLOzs55uqbmf/JgnGr95xhK6l2d7z0Bgdfdj3R+OhiLJG0PPH+R2ObTaJ7MOrF62QeerIM2YRKjXXLiYezcnsLQb+Pcw/aM7eX1RiNLW4tZ9z6ENucdjFHXnwDnb0DaS00wxadsN9HIODj6Xc+mvo4N38ZCwePox5pvQJqDoPg9l49ndDu0Hojpmm8S5eYVpiTS0n+ANXpd630FuWBLC0MSC35pREUoBXaH8C0X++5ZrVeBeTrohWAnh+hi7+ARh7Ks4/D4SiaVJKaajymCqfgOApGB28ka92Cqca3wlRLUD2i/6zMuIFNvWryyYVo4oOUG8bMJ5m07Pjby3j8/QmZ+SYoOTrh1Egwv0IknuA/nUu5+9W3Rtr86413WToYmdR33Bg5lJXxpqLMzYaZW1/L46f/F/Xh0UXklzdYk1P3+TL+sVYYJe34E13y5r+/gMseejbtDSnoM/iMkLTKdY+9yPevvIMfXnXn1Lqr2U4KqryaFwJ130aCW2KaTsO0XolpvxnT8kdMcJP0PaSO7JsBPog+VWY5y0R9hvTQdSdilnsTafsHSAu5C1Eq0AUdu2MXbYntOdNToNpuJr9lRtzL5KY9aPfxaOKDgt6Gw+FwTMQpOI6CUB2C/vOmWowsGKTm61MtRPWwvZUZN/4cduF66JIvoh17oIu3RqOPV2auKjEQjbHp2X9kYW9/+gZjlJxcy+aheIKH3xoNLn7wjfeIJhJprUEKrNDckHEsSYIvAv4h8EVBYoxmTJuolODVuTlku0148LRjaUyTdvqgL2zCpUd/Y3RyHT/WJCtSFsVKgOO/sj1+Y0haHXHNG4rFeeKt//DgK+9mfF8VRwKU18ooEN4Pqf9OYb3En8NVNAQyPcNdTf2R0HAmMPz9bITGczEN3mcg/lWRuQ97hVVDu5M7bNeC9sDQDWjX4V7h1YJDfWPowF8K7ONwOArFIlV5TBXT86rrmL5E7vEy3ExLfNBy9TKTYEBVYej2Cs4w7KOv3s7q0mOh/V7Ev1IF56wMH3UsZbc/XpW7Ybb48jEYEeakatsANNWERvvjjaHDfwt82tsHPlA7IbTGgolOUDhSWdPVeFaW+lCQE/fZgUV9/SSt8uUN12SDFedNkklVufmZV7ngvsfoGohktdYMyzhReRp7avjFH+56bMJBj2gswSX3Pclum6ydZvDKoBoB2wemDTFNqG8VSL6XpYcP6k8EsxIMXAS2C6QV7GdAD8jyEN4DgptA8IsYX31RcknTOWjHa+nTVIuB4NZFjVsNTN2BUHcgqjbttVOkBjUtEH2Y/NPRxyD5AUTuo/D00haGbsDqENJ09qzM3OhwOCqPU3AcBaGJj6lMYG+K5qsg8RoMXA26OHvbtns9H/HovWDmIeE9lqmq0DpwGdhq7qDH0cHrkcaTqjhn6cQSCfa88Crvj1wKzJhaNukW/MPHgn4fB2658cj5/T+/Edc+/dL4RhOfDRAEHbPe86X5KY3UpUnCt3bbku9/bfssAo9yxm0PcuMzr4wXNkPMT9o582k04bN7d2EX3QNDNNdlLmBaDlRj6NLjIPbvlBABNPSVHMoNQAAJrIuEtofa8VYWVS3b9UJMLcy5H+0+CaJ3p44GQRRpvnBGLNLTKTfWDkH/hTB4NQUrKpqgeCcRhcjtKA1I82lFjuFwOJZlnILjKAgJrJ+qlF6ByLHQNzDhbYFtof7baPRptPu/QSe6YRmoOQITWN37039U+WWZCUyFG0fyw+rPWSK/uOtBksMplyFvK81wE78RVD2lxm8MqsrpX9uFtee1j7Rdd/k5bPS5ebzy6SJ0rFKRJp2aSTDqKpbMkHRAoT4QyFu5+WBxl6fcjJ0rpaVpOiUnx/sXUsGhEzW9iZ+dwvWPvcR/7b5NXnIWi3YeBYnnxhyJQ/QfefS0ENgs7Zlyb4aICNJyHpr4L4g+5mV5C+8G0oDG3wSNQmB9RLIF9k8fbOw16NqfomvgSMCzjsUeLF6IyDWonrpMbVw5HNVAYUqLcFYDp+A4CiO0E96uXJlTjPrXQ5rPHndIQlujc56BvrO94m/Dq6u6o5D648s7/0xEM8SSVJJgfgvu6cBHnd185eKriSUtYsi6qG+tq2HTFZfnyQ8+IhJPEPL7UVUO2Hwjtll9Jb641qq8t6SLwVicDVeYRygw+dL5x0O+xtcv/CvdvdHsV1YfmFjKbSyTAgL89OCd836v1z3x4ugfEy1HjJkjz32JdHVwxo0/5tzjb35QUQXHJpdOUG4KoOEXiKnL3a6MiH/NkQxvmngX7dwVtDt11o82nYep2bOqMhWKqkLXoRR/nRcwLUjN3mjf2WPefxGyxN9AgusX3d/hcCybOAXHURAiftT/eUjkKG6XFgP+rSDxEqMppgWCX0JaLvaCdSf2MAaaTkUbT4bkEvDNQcRVh/YIUZ4q7vnPJ7UzI4HD2wuX8LU/XeMZIMZYM0aex8TK7L/ZBpz19d1QVV74+DOefP8jmmrC7LXh2rTWjWaPWm/5uVnnnNdYz9Fbbc7v73kSzXZlTVlvVprTzMKlvSSidryhRGG55nr22mrdSV1fX7CY+f/5lPb6Wr687hojilZn/2B+2REmkvpMxnbN2zabajgYrXBMXnJipfgCiD2K1u4/JRYAm+yEjq8w/hONQ88Psf7VMYFpUk8oDRp7nJIyZQa2R5p/jYgPbTgRes8GIkUNJcl3AafgOBzlRWZ9oU+n4DgKp+EEWHpwYX0C2yGtfxpRTmz8TUh8igTWQfwr5uwuEoI82i1bVKoKeQaaL0eksrEW5aCjb2C8cgPjlZsx600jcNbXd/OaiLD5yiuw+crFpRmPxhP86b5nMArJBBlLjJiUPvD3Ew/BZ4SXP/iMC+98gjc/XozPZ9h9s7U47ZDdxi3Kk9byo+v/yf+98yFWlYAxnOF7iKuPOYC1l2tno5WW475X38kqXzpLUTjgJx5PkLSgYzUcGa9wTQpIGvMZDkQKDSIvEP9axfeN3of2nVf1uDHVJCzZjYzqYvdJMOeOqspUEIP3Ft+34UwvcUEKU3sgFgO9p1N4wgHA5677DoejcJyC4ygYE/o8lnogTxcp3yZI6yXjLC8msC4EJu9QO/LDDv6DsrsJZiWMCU/fTFDDLOzpZcc/XDFeuRlmrJKTiskRX/l2sP6zpNuLw8BLHpCE8UqOeq5pCqy36lz8PkNNMMA2667CNuuuknHcRT39HHvVLbyzuGtE0YiRBOL84Lo7uOeEb6aPl0nNOczwqbpQEGstVpXdNl6Lh19+j/5IbHJu6wzjTExc0B+prBVRbHdpEX+Dl2EDm2BqdiuXSDnR7h8AfZkblGKVqgbJT3M0CED992HoztR7sV52usazMTVfntTa1B6A7T29cDnMyhljqBwOR2lMda3mSuMUHEdxNJ8L3f+du139KUjdkS5ItIyo7YPen1d30jkl7OhWiZvnv8LP7/qXZ6nI8HUbSd3s8yLJtl61fCmvWxtqsKmCqKLgS3ppocf6fomCDcKrixfz7Stu5ZrvHphxvO7BCJc98gx/e+x5EpOK13gs7hvgg46lfNixNLNgw10F2urDnLLPzvRFonxhrZWpCwW5d36qYGk2H7UM6aQBhmL5pg4uDo0+W/ogPcdhe+qg5qtI3bF5WY0LReNvo5H7vIKV0YdytJ7mt95JiV0mEofBG6D1eki8BX2/geS70PMDbGwfpOFnXma54eFsP7mtNzWMui4D/s8jrRe5e4fD4SiKaX6VdUxXTHhXLM1AluBR30aY+qPGHVKNeTdEaUD8q1ZSxNlL7IkqTeT3/p/abkR8xbltVYsF3b25lZsxi/SgEWqCQU7da/Juc7G0N9Sx7Tqr8PibHxK33mSTAvvHyPbKxwt5/dNFrP+58TVtPuxYyll3PMQT73w02jdDPcuktSzo7s1aSHQsG660PLuPqVvT2Tc4PiYpB+myscWTlk86e1ixrSm/QQpAEx9C3y/KNNoADF2PDl2Phg/DlDH9sO2/EPovxVvE57MtOoiNf4AJrFY2GcqBagztPQuSr+RubD+Fjh3wtgps6mAMhu5Ak58hrVeOtpXghHYTqYPgZhB7EhDwr440/RwxrSW8G4fDkY3ZnkVt2aiI6KgI0vY3MuvIPmi7btwRO/RPdPE2aOfhaMfe2CV7o8kFFZdz9uGnKGjACvsAACAASURBVF/2QvCthjRfhMx9HPFndp+aDizo7mW386/MqtwMrzlFYNMVl+N7X/oC9x53FKu1tZRVlnMP24sd1l89r7aqyjsLO8cdW9zbz4EX/31EuRnRPZKpx4S1czxh+f7Vt9MfjY7Gxkx4jP1IvrPzeDfDk6/5J/FkpkVnniTh0Vcr43KlA1dTkbpbkWuwS76OaonvHbCRx6D/AryEHwX4fCw9puS5y432/AyGbi2w18TPMAqxp7F9f8H2XYztOx+NPQfBL2XoHwJqIPYY3pc8AYm30c5D0WRHoW/B4XA4AGfBcZSABNaBuU+jHceCnT/2DBCEjr2wgU3A1wq+daHvlPEDJN9GO/aFuU86N4RCCG1XhUmSSHinKsxTGqrKPpf8lTiaVblRPPewU/fYiUO32bRi8tSFg1xw9Ne44YmXOPMfD2UsGApgjLDqnPEK1jVPvMhQbPKCfqQuTRJvW2p40CTEsFz75EuITHCJmzB3OOBn45WXH/l7IBLjufc/yW9NPpxtbaKnXOrvDxZ15TFIESTepSI1twCSr6O9v0GaflL0EDb5/9k77zgnqrUBP2dSNtt3qYKKWLGhYsOC7Yq9e+29X72Wa9drr9dr++z1KliwoWBBxS6KFRCxgIA0pdftmz7v98ekTJJJ202yWczz+wWSmTPnvDObzJz3vG01NJ7TwYMXoeu6kSmyCBC9ETzjyc3iiR/a7op+bIOoum7+e7rAuQv4Jlj04UXco1FV/8yBPCVKlDAjsvZbcEoKTolOobRqVJ9X0PV2aH0M2v+H8QBzg74QvAtTdyBrkPZXUJUnFULctQKlXPkrthrGNiB/fecIfzDI0HufoM1CIYgQttyElIOnJ0zKq4IT5rhdt2H6wuWM/WF64l8p9EzZqE9Ptll/naioInw8/XcCQT3W8mKyPkFIiYntCptSVFeWs7rFnWC1CXdR44pNr+7xB9AzzVMRliHxNACocjkz7ChLnNuDfyp5seIAuEcg5QehnNvGbJbgSsQ9FnzTgCA4dwf7+tD+DgSmgd6AYbHprAUorLEWAcHl5DdxidX9ypNEucGQxV/kyRhKlChRtJQUnBI5QSkX0v5ixw52vwklBSc7bBtAcEH++ncdmr++c4CuCwc99hxtoRoslutQoflU2OqgAStb2xCRvFsMlVLcdvz+XHzQboyc8AOfzZjDoobmSHa3vbfYiP8cd0BEDhHh6tfG88eqxkhCgMg5hHVZCyUj/CGo66xucVteh7Dr3qrmNr6d/Qe7bma4HL4zeUbmJ2R2l4vDrim2XL+vxZ7OoypOQdpfDgW950ehlzWnIb3eR/kmIMGVoGqg9UFi6rYknYR3hgo0LUku8a7APoDCZmbMAMcWXS1BiRJrLaU6OCVKZEJgDh0t5IYUsljlWkLNrdBwep4611C2dfPUd+cJBHX2/r+nWOn2WBaqNBPZHpq39a+rKag7ZO+aKq4+fC+uPtyIPwgEdTSl0LRYGSbNW8SHv8xO7CBDQ50voBtWKnMq7HAXoW068PLEaREF572pM9N3HOpLI+QiZ+Fv169HDXtvs3H6vjqAsvWGnmOQlvtCmcnyEXvmhlX75N8qGk/11YUbKwOUKi/k2WdG2X5dLUGJEiW6KSUFp0RuUJ34KrkOyJ0cfxG0sl3RKy6G9kfyM4Bj6/z0mwMOenSkodykwJwxTXQjCZldU1x5wLD8CpcGXzDIpzPm0NTuYfuB67Jl/z6ICC98M5WALpkmMwNA00BThntT0BfnKhWvjITm7mtaosVhXY40v1mBKqcDj9ePHnZ7i5sB7zZoA+46/SActiRp3nKAsg9A1T9siOT9Amn9H/hnkHEdrowp4PRe64WqyLJYckEow3C9Kw6UKhL3vRIl1kJKdXBKlMgE24YYVQ2z9ZV3oSpPzYNAaz9azcXo5YdD40UQnJW7jl1Ho7TK3PWXQ+79eCJ/NsXV6DBZcWK2AaIBNqhRZdx+1H7st9WmhRHUgp8WLuXckWPxBgJG5jKBCqeDWlcZK0KKR8pMcCZcDjsBfxClhGDQrM2R+N7U36qWdvzBIA6bjROHbccvfy5Dt3jKnb7XEDbp24ubX/k42keomU0pDt1pC64/bl/K0ilJOUaV7YUqM6xhevsYaP53spZgHwqB7ymo4pIplWcXZ2IV19HgeaWrpTBQVVDEluQSJUoUNyUFp0ROUEoh5SeC+4XsDuw9EaXV5EeovwCaYwOk4hik5S46H/CsgX0zVO1tuRAt53z5+wKe+XaKdVqy+CKVcQu/qlxj3y03ya+AKQjqOheNeodWr8nFSkG7z0+7xx9zTjFKTpK5ud8XShBgERgTc3kE42sR2riypY3RX//MyXsO4cAhm/HBtFlM/G0BQd347mhKcfNxw2lzewzlxsIKFNQF0aXgyk08WsXf0dtetq7ZUnExqvoCxPMZNN8KsqLwAqai9X9QWXxpolXtTYj/JwhmEZ+VL2ruLE4lsIhoaWjlyzcn8dXbU2hvdjP0oCFsvdumPHTJ8yyasxSbplHXq4bth2/N2bcdT32f0rO2RJRSFrUSJTKl6oLsFJxeX6DZ0hcHFBGk/QVoeQRoBW0dqLkdzbVHx2Vdm3BsAzjpcAxUmIpTUNXXoDrjbpgn3D4/577yZuKO+LCJuAl/+O3qdjdHPjWKt847JSH+pbO0eX28NvlnPp81j95VlZy66xCGDIgtjPrrouW0erzWOqgysrzFGF+SuISBoYToQYtUaSRuilyeUHN/QGfM979y8p5DsGkaD591OD/OX8K3s/+grqKcA4cM4tuZC7h17ETroKbQth7VxWHhU71eR1oegvbnAI+RIKD6GrSKY4z95fshrj2QFQeCFFHNLVmD+CajnDt1tSQxKGVD9X4Lvf0jaL6oCyWxoxxbIBIAzweI+x1QZaiK48G5+19e8fn8jW+5/x/P4PfEekzMnDQ3+kEpgsEgq5c28PGLE/n4xYkom8axlx7M2bcdV2CJS5QoPMU3kynRLRG9DdacROpq1SFsO0PVuShbr8z6brkH2p+NbtCXQOM56HVPobn27qjIaw+O7Yx0ur7v6UwWJOU6DKWKKKuTiT0eeMp4Y2XZCGdLMyk3VhP9WStXMX76bA4ZPChncq1pbefgh5+jye2NyDL+59nYlKJfbTUn77ItM5au5LMZc/H6Yv828acSqXWTBl2X6PHp4uJVoqIUttaAYXndfqN12X4jwxXog6mzuP7FD0MNiaafi7PkHLXrVukFLQBKaaiay6Dmspjtut4CjdeC70sMt9nOF/TMNdL6OKrHyK4WwxKtYn/04L+g7RGi106DirPAsQs0XQE0GZvVAJCF5NYVUBDVExr+Ab5JhOOCxDvBWIipuSaHY3Uf2prdXLL3rSyavTT2ZhHJIR+XU16pmG0S1Bl9/7u89diH3PvhdWy+Y36Sg5QoUQyUIvhK5ARpfxWCS8hoIhGcBE3/RJbvhvh/Tt2vBGKVm+geaLzOYvtfD6UUqv5pqLoUtH5AFZClK4LqGbIEFR9vTptOi9cfqxGYXyE2rKtNHb8i8MaPv+ZMLhHh+KdfiSo3YZThxrWooZl7xk/k3R9n0m5KZx3vVWaudxOz3+Ic42vimPclTZVtauOwaRy2g3Xq3bHf/sI1z7+PCoIKgNIx3pv1A4G9ttyQgX17WPZRDOjB5bBiJ/B9THa1avKXKMGS4J+FHS9LtOoLUb3eg8p/QeUlqJ7j0GquRivfE22dyai+s1B9Z0LFUWSv3JSl2R+ElbuBbyKxSQ+80D4CCaSpr7aW8si/nmPR7CVRP9bwK0z85/htofc+j59/7XUrrz/4fuGEL1FUCAqRwry6ipKCU6LTiPihfSTZZd/xA03I6rMQSZ76VQJ/pOhjVRbjrd0o5USr+gdany/Q1pmaZWa6alSvMUXp9jFr+Uqufeej6IbQhN2sCISVgYVrmrhi791TZiLT9dyt5P/45xIWNVgkPDC/NWUzy/rqxscamZWVJK54MVjMOdfvWcspe26fsL2pzcNdYz5Pen1VANBBU/B/Zx+W7ZnkDREf4v3WeIXvI2suJDuLjQ3qX0fVPwWOXVO0C/8hNwDX4eDYjw78VaM4tk3fpotR9o3Rqi9Eq74I5YhN0KGUMrKc2TfoSM9AOgt+sueJIE23dmDM7k0wqPPF2ElEimnlgGdveI22pvac9FWiRLFRclEr0Wmk6SbQOxrE24ysPBSpugpVPjxxku2fa31YCF0PomkFXnktcvTgKvC8nrqRbQhotVBxGlp516ZOTkaT28PhT48yPqR5nisFusDjn31rZE4zFcU0z/M3qK/LWaHP936eZV2AJ/xZt9iXLaETUPFWHLPlJtXiuWlfbYWLN648FYc98ffy7aw/sNs0/MFgcpF1uO3k/bHnMSV0Noj3a6TxYhAfhj+dhlRfb510IBX1L6CVhZQN507ImnPAPy3Up4DWG2ofRSkd7BuitHoAdP8MWP1xB6UvR1Vd2MFjiwvlOghp+jdZL3BVXwItN3VsUP+X6IH5aPYNO3Z8N0QP6kgmCzSZpmLEsEIf3f/8yOeLHzyNQ88d3lERS3QzijC/ZE4pOguOUmp9pdTnSqnflFLTlVL/Cm2/RSm1WCk1LfQ6uKtlLQF669PgGdPJThZA84XI8kHobdEkBbpnAjSn8bVuurZzY6+NNJyTvo3WA9XjoaJVbgAOf+pF63ouKvmN2avpMdaNmPwDQXh90q9sd9PD3Dj2I1a3dmzl0hcIMn/lGuYsW2ndINunRieeMsmUGwkpQS6HncoyJ3WVLp694BhL5QbAbtNQabSxvQdvyGFDiyP2RvQ1SMMFIK0YxT+DgB9abiHzC2qDuqfQyqKB/kqVo/V8CdVzNKr2LlSP0ajeE9HKtkM5t48oN0bj9AlSrOlj9G9fO+IflLJBz9cAVxZHBUPKTSemIC0PdfzYbojDaWf9zftb74wP3gt/Fkm+z4JHLn2B+y/4XyekLFGieChGC04AuEJEpiqlqoEflFLhZbIHROS+LpSthAnd+y205vjP0XIHeuuzIKvJqGq5dzwSuABl3yi3cnRTdL0dAhmkePV/ijRciOoxIv9CZYmIcPVbH7KspTVzC0goHXJQmTw4TMdqnlBMCeDXdd6cOoOvfv+Dh08+lHXra+lRWZHRMI9++g1PTZhEUI+rPaOZ3osxlvmzWSmLhM+YE6GJ6X8V9xnrbSktNwpO2G0w22zQn9oKF7tutkFS5QZgt80HoosgNiCQeNltmuKesw5NMWCB8YzHeFR0ENtAVM1NqDJrBV85tgJHamVO2dZJo0pZ1AXT1kX1/sRQCtYiNMeWSN8fEe9XEFwEegu0/V8GR3bCZVRf2vFjixRd12le1UpFjQuny5mwf4NB/flzxuJYK41ZmTETU+0481WUj16YyOEX7M+m23TE9bBEt0FKaaILjogsBZaG3rcopX4DStW+ipHmu/LTr2Tz4NKMLDt/YQVHRMD3HQTmGBOLTPFNQQLzUUXk5tHs8XDVuA/4bM584/ltnQ0ZMM39TfEpmoAef4AeVW4im0RY3tzK8U+8iqYphm60Pg+fdBiVZU5WtrQxa9lK5q1cQ025i/223ISgrnPnuM8Z99PM1MIEo8pNJIFRWDmJT3RkMedQCsRqzpdufhK3XwHv/jCTpnYfZ++7U0rlBqCizMH9Zx7KZSPeISBBo8ZOCLumePD8w7u87o0Z0RvpkILjOgGtLjd1nsT/GynT2Gl9oOd4aH0Q9OVQcSrKuTV4v0SkFZxDUbY+OZGlGFDKhnLtZaT1b3kw/wM6U8VLdT8mvjWJx68YRUtjG0ophp80jAvuPRlnmYMFMxbx0aiJfP3OD9EDLJSWssoyvG3ZuApac+3BdzFm0ZOd7qdEia6keJ5YFiilBgJDgO+B3YGLlFKnAVMwrDwNFsecB5wHMGDAgILJ+pckuKirJQBlA7PbyFqO6K3g/dRQZMp2A60XsuYUCPyBMeHLxt8piHi/LxoFx+33c/iIUSxuajEsHrZQcLsJgYiiUG6zEQzo6LpgUwqb3ca5e+zEI998SzCsZEDaRWJdhG/n/skFL76Nx+dn+tLlkUNcdjs3v/MJBAV/MLGjcCIBAUO5iXN/Dytp5lo0sScTy+ABfZmxcAUBXTIP30nyJ2/1+Pnwp9l8Pn0uj559BEM3TX0/3H2LgXx62z+Y8Otc5i1dTdCv079nLfvvsBk9qjOzcOUT8c9Emu8F/1QSLCOZElydE1l0z0RoPJeUv7eyPdBsLqg13GjF/zOyYncgGJqc+pGqf6JV/TMnMuUTCS5D2kaCbwrY1gPH9uDYDCSIUgLOnVDKcFGTtkdDSWfyiQMqL8jzGIXj7nOe4LNXv4vZ9snLX+Fz+9hq10154uqX8Hv9iJ76/p4L5QagtaGUeOAvwVoehKMkC9NlIVFKVQFfAHeKyFilVF+MtFkC3A70E5GzUvWx4447ypQpU/Iv7F8UfcVRoE/vWiFUDarP1yiVLu1o90d8k5GGc0OTo5Ayo/qCLO5cx2WHotVn4k6SX0b/9AvXv/9J7MZgoqVDgHKHnUlXXMDs5av4fOZcyh0ODt5mEOvV1/LJ7LlcNW48bR6/YTgJgs2bwtstbodYbAu7wKWM3Q27dlkdG/5fQNNUpJZNpE5NiN7VFaxpdUdd4OJvz3GpslO6qZnab9C7nnevPSNN4+JF9/8Gq4+i8/VsbEb8i2Nw0hYiAv6fIbgYHFug7Bsi/lmRz2jrICt3Bz1VFscyVO/PULbeoT4DyIrdQBrj2pWjejxTdAU/zUhgLrLqKKwLCSuMlM8C5ceCfyEEvsivQNoG0GMUmr1vfscpACuXrOaUQZcnnWjanXYQnYCv4/XNOsqHbVkU7S4RQSn1g4js2NVypMO18boy4O7z0zfMAb8fe1OXXJOitOAoo9rgGOAlERkLICLLTfv/B7zbReKVCFN3B6w5qgsFsKF6vPDXUG7Ej6w5H4hbWeuscgPgfRe9qQ6ttoMZjXLESz/8lLjRZmRHi4lzAXYcsC4uh51t1luHbdZbJ+aQ4ZttzJTL/smMZSt48dsfeTeZW1k8Qkyx0GRtrPbbgmmm3hK17ojZOmPuT2Blc3tsHE78xCe8T5HVXH/R6kbavX4qyoqzkGta1pxLbop16kjbC+AYDOKBsr1QjmjhV9EbkDVnQGABKA3Ej6hyEC9GnRwPRmyN1WQ/hG1jqB8JKPSm28E3AXS/hXID4EHaRxe3gtN0HcnPV6L73KPyLIkLek1AsxdvDaZM8bp9PHbFC3z4wsSUWc8C/sBav8peousoxeAUGGXkb30W+E1E/s+0vV8oPgfgKCB3FftKdAjNuRU6LlI+7PNKEOy5q0pfzIj3GyCL+JpscY9CVzVoNZfmb4wUiAgzlq20VB6UMikeoYn/xXvukrI/TSk269OLu48+kJsP3ZcRE6fwvy8nx7iZWVpbMhKWBEtKGs+RiNyWBvNk2yzijyJNs5Tbrmk408ThWLFgRQNN7R4G9e+Ny9k1jwsJLgHpaBr6hN7AMw7xfAAEofVRpOJ4VPV1KKWQxsshMNvYF7G8xSc7SbOaXnECSitDVh0CekOa9tKJFPsFwm+x8FBQHFB9Pari+G6fnOHP2Uu4fN87aGloi25MZRYWskoQYIXSVFrXtnhsHbhXlChRbBSdgoMRa3Mq8ItSalpo23XAiUqp7TB+8guAf3SNeCWKCfF+j3Lt1tVi5B/fd+nbdJb2J5HqCzEMqIXli9/nGwv0GTxXNU2xdb/k7injfp3JvZ9MZGVrG1VlTs7aZQee+WYyfnTDCmTy/rLMYgbWCoRusc9sVIjPgGZ1bCakiFtXEEkBnRLTydk0xZE7b43dlj4l708LlvDKxGl8//ufrG5xowCn3YamaVx15F4cs2ty1668EZif4w51ojVbAtD+GuLYFml9GoIZWvtS0XIf0v5GGhc2szgdjCcqGLkrjps9NlT9M6iy7p9Q4IlrXuKtxz5K3zCMiKGcdEK/0WwaD3x6I/8+/B7am90ZH7fzQcVfhNYK3b8U3K+BrS+q4pgueZZ1J4o0QiVnFJ2CIyJfYT29eL/QspTIAPtACORgUtBR9PnA2q3gSGAuePPs1w6AjgTmoBxbFGCsKCLCE19/H806BiktFDuvvy6OJMUmP501h+vHfYQ3YKyaN3u8PDzhG/RweRyTFSgc/K/ilRsrzOV14hWMVDIncWmzbJctoesVkcmqT4EN+9TT1uLlwJueobq8jBP32o4jd9kaTYsKNun3P7ny+fdobPfEzGcFQtcyyN1vTmDjvj0YslGBk1raB5JS6+s0Hmi6PIf9eSE4K/PmOVfgcofoawo7oGM/8H+GYb6sgepbuq1y4/V4ufKAu5j9Qwf+vqEboc2uoZTC702SMVAk9v4jgOl3PXjYICpqyhm45Xr8NmkOSimUgmBAN8zO4aYmK1JZhZPrX7woe5m7GH3lcRCcFvksLTcjNXejVXSlG32JTFFKHQg8hLHM+YyI/NeizXHALRjf9J9E5KRUfRadglOie6Gqr0QazqPLVvkca7dyo7vfDxUzLZAboNa7MOOYuOfTify4ZJnxQSdJ7T8JPbsVZ+w0xLKfHxcu4ZLX3yMgutFP2H0MDGXAnHY6TtEJE2MhCT/z9QyC+cMHY+pPYvfF1L2JPbWMiUmAYJI/fvofyUwtMG/JGuYtWQMCSxtauOeNCUz/Yxk3nrgfAG988zO3vf5pcrlC18LrD/DCF1MLruAo27qIYyj4C2DF7BKKOGNVYG7hxqq+Ha3yeER8IG2g6lAps3oULy/c8QYv/XdcyviadNjsGoN335yGFU38+dviaGKSMGblBqLvdQFNUVbh5MxbjuWyv91Ga2N7qEmcn6xE31T3qGKf43flvP+ehKOIUsJngt78QIxyE6H5GvSyQ9FsJUtOPIb3Y3H8vpThe/oYsB+wCJislHpHRGaY2mwK/BvYXUQalFJpc+x3r29xiaJDle2J1N6XgxXQjq3Qao7MUhxLYCF4PwIJgmt4tygMquseaLqKDqfEzRZtHTRbr8KMFUJEGDlpauRz1IojmO+9ogEaOO0au1qkf29oc3P2i2MJhGNswknK0sW+mBWcaGKzmM/EzQcsHwkq7n24r/DY4Ro4pmZ2TVFut9Pq9cccbjVnSYY5J0K8XCrhjYHHH+DtSTNY4/bw3ew/aPP4E+S2TG4AzFzUNfEiqsczxkKK75suGT+/FPHky5YHZVZVQPXN0Po46KuNGmY1N6A5tzN2KyeoxCKX3YG5P//BxXveYlhIoMPKDUqx6fYbsmLhasqryhi008bMnDzXiKWJV2ws6NW/ngc+v4nXH3gv0TVNWa+2tKxpxVVR1u2UGwDaU9Tsab4W6u8vnCwlOsLOwBwRmQeglHoVOAIwVy0/F3gsXB5GJH1gZjf8JpcoNrTyQ9H1Jmi5kw5XF9c2B/237I4pOyxtE6Po3EPQ/nRUttb7EJygyqDsb6jqy1G2ftnLnG9a7qNgyg1AZeHrccxZtRo9TvswrCgKJYJux7DoKCi327lmzz2odCZOfsb9MjO6whn/7FYhRSPSOUkn8OYmVn2F5xYxc4RkcxiJ7QeIiQG6+8QDuWrU+ITDzOPHyJJMk8mU0HE64NN1Pv1pTqyGZB5QJVqtjPPtGqdtpZyoHs8Z6Za9P0Hb/0KuTGsBroO6WoKkKFv/HP/FFar+f0bWuLXMdejp615lzMOJv+eOYLNpzJm2ICY9dFVdhWGJSRt/JygU5+90HW3p4m7MCpgIo//vPYafNIwNtuhutdVTXJSCuHd3QwQonAWnl1LKXLPlaRF52vR5XWCh6fMiYGhcH5sBKKW+xnBju0VEPkg1aEnBKZETVMVJiLQZq3LZuFyo3lD/OCo4H2m6hsytOOWo2htSthD/r8jqfwArLfb6QHzgeRvxToBeH6BsPTOXuxC4XyzcWKoqUrOjUPyyZCknj3rDWhyMCbVdjEIxu24wgAt22Zmh669v2X5FSyueQCByrFWHymyxCbt2mZSdhHl+MuuO2dUtDeb+JfyPDfbcbAPufftLox+rzHHxsmiJildaGZL9lFRIQUsqdPJj1+/ZtUV1lbKjXDugO7eFFTsAmQdOFycuVPW/ulqINGjkxgW5Hnq/hyqwlbgQ3HbiQ3w9bmr6hhkSDAYT1gpbG9oyfjyuXLKatHeo+BtP6PPL97zNv0cWf/HZEt2KVWnq4CSLYDVjBzYF9gbWAyYqpbYWscy/HzmgRIlOo5RCVZ2HVJ6BeN6DppsJrRUDLrD1A1UPwQWg9QHX/lA2HOUYZKRnlc2h+SES67ooqHsBAjOg/VmQdnDuhaq5BqVZT7ZEPEhgGaw+iYxiV6QZaX8RVZ15imRd94M0o7R6lEqfnSpb9NbnyexpZiNt2tpMKRuWm34yYE1bG0c/96pxhqF8ASoUNxO+0/UoL+fobbfizKHb06e6KmV/O26wLqO+nxZRciwRYuNp0szZrO645oB+SdYo3NZKeRKQAPw4dwlt3tTWuecvPI7BG6zDyqY2PP4AL339I5PnLqKpzcOa5vZYF7QkFinLc+jool3ob3PEHSMps9s5bo9tOWrXrbFpuf/+p0PT7EjfqUjTTeB5PYMj7HTYupwvnMNRdXehtNquliQ1Wj/QO1NvywE9xqA5N8+ZSMWCruuct/N1LJy5NH3jbLC69Uf8bdMcq1SKWEZzX9a4s8i2VjykWJXRCps0p0SHWASYVy/XA5ZYtPlORPzAfKXULAyFZ3KyTksKTomcopQTVX4U4twVcb8F+iqUc3co2zNlDQOlyqD3m0jzg+AZBwTAsT3U/QfN1g8YClVnAiB6I+KfjgRXohxbRRQMER/SfCu438Fw7cp01VHA8ylkoODougcaTo3UhhA0pOIctJorMxwrQ9pS+BSbcf4NfB93cjAnqv7JghZMPezZUUZcjcntKpwEgCBs0acXb5x5U71K9QAAIABJREFUIk57ZreoPTYZyKZ9e/LL4uXWDeJjSzL8aoQD9SFRWYg8UuMDcyS2//icAEqIVW6sjgfemjSd7Tdal/49agC48eh9AVjW0MIJD7zEmla39blZyWtyPctIfou5ggK+nflnpM3tr33KE+9+y5jrT6OuqjzxgDyjlA1Vdyd6az9ofQrjoisgAKoasIFzZ1T1lWDrhyzfDWgquJwR7NtD2W5Qti+ac6uukyNbam6DxiwKrToPA38oGarrEKi+Fk0r4jijTnDrSY9kptyEkg3U963l9jGX8dr97/HV21Oyrk8DJM7lrRIZdHgRQzjk3H07eHDXIOny5uszku/7i1NEaaInA5sqpTYEFgMnAPEZ0t4CTgSeU0r1wnBZm5eqUyVFdIa5Zscdd5QpU6akb1iiWyASRJquBc/bsTsqL0OrvgC94VIjkUCHVmqdqL6/JM3aI8EViPsdaHsCxKLgZvlZaLXXdmBcA937LTTeBBJ2Q81gMmHfGWgMFSbsBOWno9Ve37k+smDm8pUcOnJUYvwHRBSc2f++FC1LU4PXH+Dop0Yxd1VD4s6w9UY3DRkMxeaY5IiZ54fbprCGWFpx4tzfEnZbxAhZHb/9hv15/pLjLUaFdq+P60aN57Nf58XKZ3E7N8fzxI+X9O5v5f4W/5UMTbQOHLIZd591SLKeCoIEFoD3M8ABrv1RtsQ6Sbr3B2g4MUcj2sGxHaruEcCPrDyE9IV4XRj3JidUXYiqPN0IqO8G6K3PQet/MmqreoxGhRIGrK2sXtrAJXvdyqolFveaBIwVhIe+uJHNd9jE2CLCx6MmMvaxD1nw22IkaBHwlrQ7QWkaW+y8CQ3L1rB0vqnekqITJlqDD9te6NTxhUYP/AGr9kvZRvWdXrCaOEqpH9K4YxUFZRutK+veeWFBxpp/0vVpr4lS6mDgQQyfjhEicqdS6jZgioi8o4zJ2f3AgRhuK3eKyKup+ixZcEp0G6T1yUTlBqDtAfS2BzrZu89wn7MnZmXT3e9C09WkVJzcI9D1uai6x7KetOiej6Axy7oDzj0huBiC87M7zoqy3TvfRxYc/twoEs0GIRSgwcrWNvqmcUuLp8xhZ+z5p7DL3U/g9pv+VuaYG2XaFpZCiGQ6i1iRFPSsKqe53RvNzGaBgmjR+3glKW6s+M0x8sVlMCuz29hh4+SBvhVlTqbOWWIobelc7VPtS+LxEnNMnEUqnk+m/Z5agAKg7APBflbKNlrZDugV5xquruaqrdoAoB10q1i9OMpPhrI9UI4tUbZ1ott7f4isPBBoTnFw2F02AK33Iu43oedolJbd97wr0KrOQPeMh8DPpHOJlZYnUT0ztEB3Q9xtXs7a9ho87d7oRisrSkhJ0Rw2nvz2jpjA/ceveJGPXpwY20emKIXD5eDKp8+l93o9OKLPuejxClJHEMHu7IZTQlWZtokEV6Ls/QsgTDejiOwbIvI+cfUuReQm03sBLg+9MiKt87Sy8Fux2laiRN5p+19euxd/YnE+3T8Pmq4gI6uQ9wtkzTnorY+iN92B3ng1eusz6O2vI+2jkeAy9OAq9KYb0VefZrTzz4fGy7IT1HEw+L6E4Fw6HfyralFle3Wujyw487UxoaxpSabdoRvuC1N+7FD/LW4vfSsqY+rghCfoWrj/AIb1BiKFPxXGZF+FYnQO324LPrn2bHpWV0TmLRY5B2KsJzEGqZAlKkYOcyfmB0uccqMpKHc6OHlP63o/0XP1ZLdYK4mv8F+irqKM/5xyIKfvtT3KSu64c1Sm/vRiekqmQau5CtXjRXAdCs49UTV3QY9nQE+lmIRxoNXejOb6W6xyA0bgfLbZ0IJzjEWbboLq8QQ4tgPSPP79n6G7JxRCpILT1tLOMQP+aa2YiMS+gN7r9+C5n++NUW5WLFrN+OcmdEy5AWwOG5c/cTbrbrIOTpcTV4UrtRzx1iAr61Bo29Ujzu+QTF1JRqUNuomltERuyURd/xbYPoNtJUrkmTwHP/omQ/mBkY+ir4HVR5PVMof/O8uChJY9+L+D1oezENBmFDb1v5++aVqUEafQ882CFtP7csEfidYBCxetMT9N56p99siq72kLl3DSs6Nj0kUnFOkMLT4nnLFJyahwOthni40oczh45cITue3NT5k4az66LjhtNnyBIDbAYbfhsNtobffFnovJ4pFwrubhLJQcl8PG8G025eKDd6dndeqVyQqnk1avL3N/+3jtTEH/HtWcd8BQjtplaxpa3Tz81sRomwy/9rsO2iBDAYoD5dzJSFMcRm9GMlkoUHVI+2goP8I6Xs33bfbCuEchlSeD1idljGIxoLQeqJ6vIMHFSOuI1Fkem85D9x6LVndn4QTMM42rmjl+4MXWOyOrILE/mpUL17BqSQN9B0Qn4bMmz8XhdOD3dizpxcif743p76iL9uel/7wVbWD1uzX7xYYD76JFx0BT3PDSxexxxE4WB3d/Cl3frXugiqbQZ75IquAopdbByE1drpQaQvTnUQNUFEC2EiVi0fqBHp9YI4cE/4i8FfEjKw+jqKqMawPAPzE3fVXfjKo4tmB+yQC3fhxXtyTeNSu0TQmsaXMT1PW0Gbp8gQDeQBAR4ZQRrxvKjfmeHcpwG8lopkio7xJPUNfZdVOjmGjf2ioeO+MIwrGKSika29xMnreICqeDnTdZn4fe+4rnvpwaPSfdQuewiOOJnLpp4z/2H8o5w+PT/1uz19Yb8d4PM5N6+8WMHTe+ADYUt564P0MHGed675gJrDJnZ4uT3WoMh6a45eT9M5K3WFFaDVI2DLyfp24oK5HmO6H9RcO1TMUlVtDKszeoSjuyci+gAqm+Hq3y2Cw7KDzKti5UX4ikS2PveR29eR20miRKQTcjqXITJknczA1H3scr8x7GVWEoxT3WqaMzsc9m5Qbg1OuP5qMXJ7Jy4erUixJx99mtdt2UQ8/9G9vvtw11Pas7LE+JEsVKqtnDAcB9GOna/g8juOd+DP+36/IvWokScdTend/+9WgGLnG/C5KBT34h0XMQbwPgOgqt8qSCKjcAL0ybljhJ1mNfSo9uD+jJZ4ttPh9Xvjme7e95jF3uf5Ld7n/KiJWxmIRHkgiEXummFjce9TdqymPdPpRSEUtXXWU5+w3elN0HDcRhs3HFYXtiN/uxWZFEAVEQtfYoGL7NZmmki3LCHtsZK1QWrmdWFph45UoX4ZIn36LFbbjKfDptTkLR1VRowId3nEefuuKPIUmHqr0HbIMyaOmGwGyk9aXEXeXWCSEyox1arkd3v5W+aRGgtB5ABpnz2h9FJINU/UXO6w9lYDVPlqBGhO/HT4t83nKXTanvW4vSOrZ6/sWYWA8BpZSxEJSlzrRi4Wr+dsLufwHlprgto11KqmdHLl9dRFIFR0SeF5F9gDNEZB/T63ARGVtAGUuUAEArGwrO4/I3gLRF33tTFsjtpiiwb4GqLbzbyCNffWPc5zQQDcTiLhjJOhaEdaqrKEuRIvrC0eP48Lff8Qd1ArqOP6hbF2XOxn1LwTWH7slRO26d1bkppfjwurNx2bN/kJrv/UfutBUD+2ReSHPwwHXYc6uNKbfZDNe7IFTY7WzevzdVrpDPubm2kMWDxhsI8v7k31jV1IY/RTKFiLChPhw2jbvPOoSeNWuHMV9ptWi9x0HtE6GkAzYMRwWr76BA2z1IcFVsHxUnAHWdE6TppvRtioWqf2fQSBB3Llxqu455vy7kmetf6/Dx7nYvI24azSevfEUwqNO0soX1NzPFcGW6qBBqd9fpTzDu6U9idmn27GtRrVy4Gj3FItLaQ/dfgCnRMdKmiQ4lFPg7MBDT3V5EbsurZDmglCZ67UP0NmTVcNBX57hnDcqPRqs1UqHqay7MQX2ZYqEC7OtD+Qkht7TCB1xu9eDDuAOB2CB883svaCH9QBPF8yf9nV02HGDZ14LVDRz+9Ci8gbhMaUFr1zClgwqQ4BKnTO/71VVx05HD2XOLxCx62bD3zU+yqsWIFbOKv7HKCI0GG/ftwdgrT0PLclU3qOu8O+k33vzmV0SEI3fdmsOGbondpuEPBrn95Y95+/vfoudqIYAGiE5UQbSoiaOI7u9dW8moq06kb/3avfIr/ulIqhg8+85ovUbFbNK9X0DDuZ0buNdXaPY+neujAOi6H1bsCyxL3dCxE1pPC4tXN+Gw3ufgc6cuyhtD/JzKFJ/jqirD7/UT9GepWMRlabM7bFz04OkcdMbeALz1xEc8cXkal0EL3lj6BNVrgQVWX5bC8q36o/WdUDBZuk2a6A3Xk363ZZm9tYP8cdq/u+SaZJJk4G2M6mg/AB1L+1GiRI5QWiX0HGv4wns/ymHPTlTlBdGPFcesJQqOgsozUFX/KmgygXjcgUCCe1jEqqDA5lKRbFwOu42npkxmhwHr4rAlWkUWNjbhsGnExOiag0vM7wUja1p4kh6nWFU4Hbx75en0re38ZH1FUytef9DSaKQUDBs0kO9+/5NAMJp3zGZTnLLX9vxz/12zVm4AbJrGEbtsxRG7xBaODASDXDPiPT77eW5aI5Ye79kXPz8zJSdQGlx46G5rvXIDgH1LUvpXBCahe39BObdGKYX4JkFDDuJNfFPAfnDn+8kjIj5oOJOMCqfmIpV9F9DS2MY5Q67JTrmJx3zPVQpPa4oplJhXXiwwFQUN+AI8d+sbEQXnsPOG8+nLXzN7Ssq6hwnMnfYH2+3djYrOdgTVs6slKNFFZKLgrCciB6ZvVqJEYVC2fqj6RxH/z8jqY3LQowb1I1D29U2DrB2uNyDQPhLR6lCVZ3SJBFMWLYo6w5osCRIqPF9ht+Mx1a3xBAJMWbSYV376mdO2T0yVvFnvXvgCcbU4dMO1LTKGaZsWl70sjNNu4/Prz6XKlVnWexFBhBhFpNXjZVVLO/3qqnng3Ym0e3wJx1W7yvjghrOoqXDh8QX4ZtYCGts8DNtiA/rkQLGKJxDU2efaJ2lx+6KxR+YManGJHcLWHUX0bwJRBdRs/BnQu47Dd1nLJ0QhlFIIFaRMNNJwDKJtBD1HIM13EK110wlMyU6KFvdb4P8JSPy+J6Alr+dUrLQ1uzlx40s6nOmsw1hZWXULJVugcVkTImLE4Ng0Hpl4KxPfmszYh8Yza8pcgoH0VqLGFZmkR+/m2DfuagmKly6MjykEmSg43yilBovIL3mXpkSJLFCObRDVE6Qz7moKyk9EK4uznrY93SnZrIeqB8mk8nWOEbdRQ6iLFJzjXx8NmFwswg/wUIYzKx90dyDAG7/8aqng9K2p4rDBm/Pe9Fl4fIFI3RYlcRnS0ty8HTaNibMWcNC2qYPLvf4Ad7/3BWMm/0pA13HabBy1/Vb4fAHG/zgLu6YhCO7wZMicyE2gze2NBO+7nHb+NniT1IJ1gpc/n8r9Y78gGD9RCmspcdcnfi6lkmwHsCnFg+cf0SFLU3dE9DWkn8AL6POQhn9AILGOViLlGEpQii+nVpuxjIVEDy6HhqshMAXIwqoRmIeuu1H6KtDqi76wqa7r/Of0xzqu3ITTL3fWYi6S8mti1f0eR+7EHkfuhIjw1ZuT+OD5L5ny0c9J+6isW1sW8lJg693VEpToIjJRcIYBZyil5mO4qBmeHiLb5FWyEiUyofd4WLFzJzqoR9VYBPYG85COOq/KzUZACvcEfU0ex07OA998ZaRETfKwP2yLzfjsd2u5zXpPi9vL6z/8wju/zqTV62W/zTfh3F135LlvfqDV70+b+jlZ/zFxPEm4ZNQ4vpq1IBKw7/MFGf31zxElwGeu7G4+1bClSuCZjydx5ZF7RZr5g0EmzV5IQ2s7Va4y5i9bQ5XLyfAhm1FflUF2KgvufOUT3vjql4TU0xHC+mUHrpUCLj16DzZcp0eHZMsG3f0RtD4EehuUHwRVl6JpXVBb2v8rKBdIa5qGAoEFQDWQYkVc9UD1/hSRNli5B9azVzvKtZfF9q5FD66AlXsDwXRNLWiBFduGztaGuA5B1d6BUq40xxUed6ub83a+nhV/5iDGM9l9z2p7SJlxVbvYds8tmPrJL2kVLAHam91U1sYqKSLC41e8yPgREwj6k/dhd9gYtMNGmZ5NN6Y4FwyKg7V7sSoTBSfL8swlShQOTatDrx8Z8gfvSAcVCbEpuncK6Bn4lhcNipTKDYAtf1aDZIgIj34/iVQ30fG/zqaushx33IPYZbfz98FbEQgGOevZMUz+czG6KTfCiO+nUu1wGokFLJIGxMiRRIKArrPHoORJBeavWMN9737JV78tiCYJSJIsICZxQRiTPKO//pl/HrQbFWUOfv1zGac98ApBXzQttmhgt8H9Y7/k/nMPY/ctByaVy4qWdg9jvs7MyJ4wv5K4/0kMZUJgp83Wy0qmjqCvPgf8X0Y3tD8L7S+j9/kOTeuY4pctIgKBXxH3FxkoN2G84DocPO+Q6KZWBuVHoqouRWmVKCqRvjORVYdC8PfYdlXnG3VmuhjRm0FvBFt/lLLDmsvomHITTxA84xAJouofyEF/uePNxz/iqWtfRqxcwrLBvDJj/rHFb485BjSbxkMTbqaqroJTN7sso6Hc7d4EBWfC6O/46Pkv8XtTW9mGnzKMmrU+RTTg3K6rJSjRRaRVcETkD6XUMGBTERmplOpNKe9eiSJCK9s96/p6EVwHRN5KcDXS8E8I/JgTuQpHBg/k6mvyL0Yc8xsbjee4VQavkMhBDdpafVS6HOgiuAMBKhwOBq/TlxO33YaLRr3D5D8Wo5eRoFW0+H0oU5hJKsJXKNyuzGHnioOG0bMqcfVzeVMr70+byQPvf21MduPSLCcdy0qTCn22aYrljS0opTjp/lfQfKCZgvtFh6AOAT3AVc++y2d3nY/Lmcn6k8GMP1ckevolueY7D1qPybMXWSo2xmfjwPiEEK9O+ImbT8tfUU/d+3uschPBDY23Qo//5m1sAPF+j7Q8BIFpGJP5bCa6AmXDQKuC9pdA2UECUHEyqvpqlIpN46uUgl7vgu8bxDMecKDKj0Q5t83hGWWPiBtpvCJU9FQAJ1J2OAQn53IU8I5H9FtQReCOJyJcc8jd/PTlb9GNYTez7DpKu73vBr2oqChjwczFSDC63e60c8y/DmLglusx8qbR6OlStgMInLzRJQzZe0vueOcq7A7jfvHOkx/jafdGx7awIilNcc6dJ2R+bkWMSJpr5Ux0cy4R4q8eg6OUuhnYERgEjAQcwChg9/yKVqJEFtgGQnBBlgcpVNX5AIgEkNXHg/5nriXrelQ9mmtYwYdNqLGQZAKuKbhhn30IiM7KtjZ2WLc/u20wAF8gyMTZCxCrEg+C4TJmWhxNiL+xeO4pBUcM2ZL6qnKa2jz89MdSNu/fi09/nctHP//OpN8X4vH58JkmJVbZk62w3B9W5HSd+qpyDr5jRKSgabyxB53Iuf537OfMXrqSyjInxw/bln0Hb5IyC57ZrS2SLS7eohW6Rr/MWUqFzU5Q19lqw3WYvmCZUUcIQ9FSVoqaCN4U7i45oeG05Pt87wD5U3D09jeh+UYyCpq3xIbSl6JqrkWqLgJ9GWjrpIw3UUpB2e6osuJ5lMqa88D/vWmLB7yj8zCSDvqqLo83WvT7Us7Z4Tok4V6V+5nfSdcewdCDtuWxy140urcp6npVs9cxQ9nv5D3ZdMhAfpr4G6/e/67lwkQyfpwwgxuPuo+73r0WgPZQmvpUCpdSGtX1a8c6teiNKfdrtsIWtC5RPGSyRHgUMASYCiAiS5RSfwG7ZonuhKr+N9J4EVkFvyKIbwrKtS94JxqTkrWRupFdMuzGPXoYC6Fg+ZCOJDsTwWWzc9jWm8fsb2z3WMeTSChjWnhxMhzrApFioZgVCNPxIvDOjzNwaDb8wSDPTpiMXdMI6mJkcos3W6QjndUEKLPbOGa3bZg6bzEefwAtlZ6gQ7vu550pMwiEVnF/nL+EY3fbhmuO2jvpYRv16xFjpkpIiW0Sy2NKZf3bHys47+Bd2X/HzaivruBvlz2BX9djTV6hxn1rKlMIngtSxT3kT7kS8UPz7XRcuQFUGdiNWhxKqwKt8C6hnUFEkMDSOOUmz9jWT98mjyyZt4Kzh1xbsPE2GjyAqw/6L9720PdMoHFlC28/8Qma0lg0ewn/PevJRLe2JK63ZqZ+Op1ZU+YxaMeN2PPoofzxW8hClGRRRM8g9rDb0P5GV0tQokjJpPytT4xqoMZcQ6l8P+VKlMga5doHah8ks6+0icYL0BtvQNqeolMTnGLFdSxa2ZZdMrRSiqt2HxbzcFamV6RGDYo9Nh6YcHzPqgpsmhZN/xxGJ1GBCb0SlCkLlzFdwBsIGkkG/EHavP6YNNXh/sNJBZJiPq9465FE95+9707ssukArh/1AYGAbm2RMsunQyCgR/rwBYK89MWPPP9J8qLFdpuNAb1qY8Y3X+uYy2D64PEFeOnTqazXu46vfp5nKFUi0Zcukevw27zlKQTPN3lcUwsupnPpnZ1gGwDOXXMlUcEQEfSmW5Dlg2D13p3oKbFeVUq0fl1ScDhMw4omztzmqpz1V1buNEzRSbA7bUybMCOq3MTx5mMf8t8zn0h0KUuViS3yO9VBdO4+63F0Xeeoiw+gqrY82mZtxz+1qyXovkiBXl1EJrPB0Uqpp4A6pdS5wCfA//IrVokS2aOV74fq8Qpka2D0jF47b5LlF6LV3dmlIpy/886cuPnWKH8ooN580wuCFoA7Dh5OXXliRiW7TePsYTsY8/FwSESotk3S535nksKY3NpU3OdUxyScl+mGfvepB1FR5uDiZ96m3eMHAUlhNxc7EQtV+BWW4cFxX/HhD8lTEa9TU23IEg6StghktqKxzc2NIz7gxhEfgC6RdNuRtNtiKDmusvy5eujNz6VuUH1XXsaVwBykbQTZWYjKwLEfqApQVVB+NKrHSwlxNt0BabgW3C/noKcsExBUpHBHzDMiwj+G3pBxe82uOO3Go3lt/iPc8tq/KK8so6K6nIrqciprK/jvu1fz+De38/Sk/1DXu8ayj1tGX8qcaQuSD6JU9JX5mWD+US+evZSbjrqP8ioXB5yxN5Y/+NA9ofd6+c+GWDDse3a1BCWKlEySDNynlNoPI//lIOAmEVkbSryXWAtRziHQZxLiHgvto0FfAuIDyWVWNBv0+AiaL4VAsZaHsqFqLuxqIQC47cDhzFvRwLQlSwnoesTlor68nFFnHstmfXolPfbSA4ZRX1nBo599Q6vfH/UAs4oTCWNV2NKK+NUli7gYCW1HAzH1G4nLifsc7jY87qsTf+KneUsidXpQRj+6nQRXNd2R2J9gKFCiQVAXHnv3Gw7YIbFuj88f4KfZi1G6GLLqYtzdM1g9kyC8/91vkclP/LmokKL3973zGADf/mDK3Vpl7pMb6O73oekasrLc2rZB9XgKZev+1dF171Twvdk1g7feg67VolXkolBzdpw++CqaVmZe4FKhOOSsfajrXcOuh2zPawse5eevZmKz2xi8+yA0m4bf46d5TQuH/WM4M77/nRV/rEIQtt1zS8685Riq66v4+u0fmDl5bm5OIollZsrHPzN+xOe8+fD74YYW9wDh5tcvz40cxUDw1xQ7u9YNsqgRQg+1tZeM0vSEFJqSUlOiW6CUDVVxLFQcC4Cue2BFDss2qXWg4QSQlbnrM9dUXWOkdy0CbJrG86f8nTemTeedX3/Dabdz/JDBHLzlZikD58OcPmx7+tVX869X3k2/wGmyuETCSOKVnIhlIu5YC1/3yCYBl12jX30Na1rdNHu8sdYeCxyaxi8LlhJO8iPKkE8DxAZBG/SsLKepxU0w7Ecm1kqWMrxQWNbQYjlWIKhHEi2oANh84C8Dcca5vISsMaaeY5XBJJekvNzBsG2Tp9TuPO157DsRES80X49R2i0LnJusHcpNYBE0nNiFEgg034DYeqHK9i7YqJM//iXrGjeaTeP7D6ZxwKmGpaCs3MlO+22Dz+vniatGMX7khISsZ06Xg90O24GLHzw9co878erDGf/chOxcdrJ0MRNdGHHDawQDZnli+zjuysPYdEg+f8sFxvth8n1qLYo1KpE1mWRROxq4G+hD1J1bRMTaFluiRJGhVFlu3UBlcS57M6GR6BNlA+qBVZl3o9ZHqzojZ1LlAqfdzkk7bstJO3bMCvDcVz9YJhuIQQ/N5YMkKAuagiN32IrtBvTjrrcn4PcH0eMmD8m+IwroXV3Jm1efRm2Fi1UtbRx810jcbuuEFmGlIBDUo5newhtthqKigoADNI2ocpNifBHQBPrWWWc+qnA52XjdnsxeGFW6HV4ICgSdxoVQOoYnlg1DE4pogIbbTirdcZ8hqbO45Zc8xGr4fwHJdvLjAvvg3MvSFTT8ky51jgdAR5rvQfXeu2AjvnD7GONNNmmgkwT5/9/5zzDh9e+MVPJx+Dx+vn5nCt+Pn8YuBxtpivsO6MX1L1zEnac+mn5Mc5+6aZFCUqxGhGhpSF27qb3ZnX78boX1og8A0lY4Mboha3uIViZOw/cAh4tIrYjUiEh1Sbkp0Z0wJmbFlhJTA20jsG8Btg2gbD9Uzzeg12dQdiDYNoXyE1C9v0L1/Rqq7wDVE3CAbUOoew4s833YoPe4Ap9Lfpi1fBWXvDaO4Q8+y+8rVqWej5n2qVBcjALsmsbfttyYj645h9uP2Z+/7zyYty8/zXIyr5S1xd6mKW4+dji1FUacUK/qSv6+01axiQUsRInEHJv/VxguZAB+WNXkzmieGe5idVM7Hl/ixDyo65x60I64nHZsdhU5xu6DslZwtoQWM22hPRISJuLvl9KQw+XH5s/PXfelcjEBys/M+ZiCi6ytN8qJKj8i57IUGpEABGd2tRgGWaf27xwOlxFHlkpZV5oWY/UUXRh6YGyxyMaVzUx8a5KlchPG7w3w4YuxdZ32PHpnXl/4ONvsEcoYaXV8eFvYyhzxVzUH+3WcP2Ys6tTx3YouTGQUmEe+AAAgAElEQVRRouvJxIdluYj8lr5ZiRJFTM3t0JxZdejCoEP5EWjVF8RsVQD1Dye0VpXHQeVxMdvE8S7SdAP4vjWOdAyB+qfQtIqE47sbn82ay0WjxxEMP+wDhgUjNjjF9J5orEh4s00pTtltO7bboD9tHi/hTFwupwNNaQQtAqOtFmsryhw0tcdm2epXVxPTPiFZm4AeTLLT7IZmzgegoptiPOpMCpvHF2DCz3M5cMdoHM5Xv87nmqffw+sLgAKXy8GAfjX8uWANugi6Logy3OIShBEikzllGtB8DTbu35P62jwmz2y6NfX+yjy4Unk/z/4Y8SDN9yOyHAJ/Qtk+qMrTUbbkMWTFiOgNnTjajvFNySYdfwq0PrnpJ0MuuOckLt7zNsBQZCSciQxAKZRSUaUllNHskofOoK5P7JruioWr0DSNSHIFs6JisozO+O53fB4fTld0ol3To4p7P7iOxpXNHD/woiRKjvmDgnTFLLOg/8Z9c9ZX0aMlxiuWMLGWW3AyUXCmKKVeA97CtOQlImPzJlWJEjlGqzgEXTmh6XogdWGwguH9AOIUnGxQtnVRPUbmUKDiYGlTCxe9Po5gKBuYCpjiaMLP+fhEAuH3enSb6PDy19N44/tfCeo6223Qj0fOPIIeVeVUljlobI9TcMJeW3Gegs1uH9e/8iEf/jSbx845EoADhmzGfW9/GRElLEZEBisXeAvFJloMiBh7ujl+SJmOExG+mT6fP5c3sGhlI3abxltfTY85sN3r54+GJp6//WTGfvoTfyxt4Pu5C2OGixknIRYp1n3n1Vvyk/FKAvOQ1kch+FPKdpq9f27HlSC0PduBI33geSn6sX020v4c9BqHsg/MkXQFwP97Bw/UoOpKkHZoS1yEyR4XVF2Sg34yZ9PtNmTw7oP45WsjG6FSKqTjG7+MiHITKvy57qZ9mTD6Wx6+aCR6MEjfgb254qlz2XCr9dHN2QqtJooCjcuaOGGDi7h1zOUMHhZb56uudw2b77QRM7/PLPFAfAbpjnLs5Yd2vpPugrPwBa5LFA+ZKDg1GBGg5jQ2ApQUnBLdCq18PyjfDxEdab4b3C8RXYnsgqWMUr1cS576ehLBoETTLytTNq9wbE3YOhKHWe/RRdCDgj9oZMmaumAJ9737JdVlZTS0eiKzfWU+SMX2ZebLGfP5fvaf2DRFY6uH9eprWLymOWpBCvcjicfGyxhTfDT8MUlccHxWs/e//y2SCTpZGmu3N8Cc5au5+szhAOx76RM0tGfvez9o/d5oKep7dBQJzEFWHwOSrv5MHsYOriB3SQ28SNM1UD8S8XwA+mooPxTN1i9H/ecB92spdm4CrMBImhpPOari70AQaXuCTllxVA1UXY5WcXTH++gg946/lkkf/sRT176Cx+2jrk8Nc35cEG1gUu4Xz1zK4plLI5+Xzl3BlcPvZOthm3H4P4Yz9pEP0j462prd3Hj0/bw6/xFclbHp8M+540SuO/wefO4kmfxEEExWpgx/D6Jb3xyVUqy3WRF/N7NE19NYtsp2LIwg3ZW/ehY1Ecm9A3SJEl2IUhqq9t9IzbWgrwHlRHxTofkm0MMPsySRpbmTAirPymP/3ZfvFyyMFtk0KwKhQPnwKmZCOmPzRos/nS8QZOyk6Ug4w5BJYYoGzlgfG25/zuNjDFc588Dp436jAouF11qcu10knjh++PDicnjMNHOe6QuWc+BOm7N4ZRP+QMDSXc4QSWIfdKEV6TK7jcuP3yvNSXUMafk/EDdpL5oaktNxdfen0JRjV1X/NGTF9kS0zdZ70VHg2BVVewfKvl5ux+sskipF8hxw7gWBOUaK/fDfR1sP6h5BvBOh5RGMxA8dVHDsQ1E9X+jCpBWw8wHbsvMBRsKTb9/7kVuOeyC6MwO5fv1qNjsM34adD9iWSeOnpW0f8AX4/LVvOeisfWK2Dx42iBteupgnrnyRpfNWxB4Urq+ebSa1ZO1Dv/9Vi9fQe73unwkQgOCy1PsdWxdGjhJFSdokA0qp9ZRSbyqlViilliulxiiliuyOXaJE9iilULaeKK0azbUXWp8v0NaZjerzI1T+E2zrg8pHQTQbuP6OKtsnfdO/IJXOUEHJ+HzJEK1FE/cMj8TK6yGXtrCbWFxcrj8YjLq+QWK66EzmEkksR1bvsyV8Hgk6VNhVLXSOaeUUcNpsTJ+/jBNueYE2t99SLgmljVbmuIPQ8acesCM7bj6gE2eTAv9UMrrY5bmrf2PUvbkASGc1ypbwHyVum/8bZNW+6L4iq5Xl3I2U31LfF6DVGu5o9S9Cr4lofT6D1oeh6XLQ5wMdzE5l3xrV89kuVW7i+XNWKCumudBmBvKNeWg8R1ywX+zGcEyPxComfm+ABy8cwWv3v5vQz9CDtuO56fdzw8uXYHfaov2Efh8qFBsUjg8yv4ym0XEkmbtceL8uCVakbk3bKyl3azZbgQTpnsQXdc7Xq6vIJIvaSOAdoD+wLjAutK1EibUSpVWiVf8LrfenaH2/A+e+ZPZTSegJVE+oexJ6/wA1d6Oqb0D1GodW95+iesgXE35fEreDFNaZZM0jik/olfavmM6gYIrxiR0kA/Ektp1ZzsOGbmE95Qz3LSaFLHbYJKYe4bn3J3HZw2/i9vhN1yF2AmbuM2y5UaFaPe2eLApgZovWO8N2OXw6Nl2du74yRmDN39HbRnfB2Elwf0zaL3pgBrQ9Cu6xKFsf9KbbwPd558bV1kf1HIMqssxWS+ItJ2GUSvyxmvC0ethh+GDszpAjTEyWM2vry4gbX2PeL39a9jfsyB3ZYd9wGvLMv/fm54hKIzNAdX0eE4YUGt+ErpagRBGTyaytt4iMFJFA6PUckOHTqUSJ7o+qfxxV/ySUHQT2bQx3DRypD3Idi+r9BVrfb9Fcf0OzVaNVHIWqPA1l36QgcndHWj1e5i5bZb3qIzH/JSVm8k+sImDXNBw2lbR/LQCa35jkR9ZQw2/0uLlDqpXSNDJGGgnUVbq4/bQD+eCOc9ioTw80oitf/euqqXI6Ys4h2bmZV43DWdfWtETjbiytVWHFSQdNN/SJcJ996vOXWl1Vnk9G9W0Cs3Iynh5YAeRRYUtHyy2I9+uuGx8Q0dGbH4Rgepcq4wA3/8/emcfZVP9//Pk5d5sdw9hHhERkSSRFpWQpJSlpIYp2qbSqtPsWUUkLad9Fy89WQpESIbtKdlnGYPa5y/n8/jh3OXfuPneZmZrX43G495zP+Xze586953xen/f7/XpTMh954kFnvmK0BhSBbXX0/cQYdQOFa4UIDWvSuhFCCE5u1zhI2zIkR8I3byz221IIwYTZY6lRJzAB8SEzESKjdmUrlxAl1OA1f6oRBDKBWwUhHIKTI4S4TghhcG7XAZGVAq5GNaowhBAIy3kotV5CqTMbpe4SlPqbEVkrodY7oDTVt4akq1FqPoMw1K8gi6su/jiUgxIoCQVtkm4yKgEXKUO5w1UJF7Rt4ZtipXpIgUCb6Ct2UBzO/Y4AzoRAN3Dh2W0xGsiuU8P/TV/C2/deDUC9Wul8MWEY304cxdzHh7F62hheuu1yikuD5zp4kRzddfizVTicIXx252tV14dEKwTqDPHr0TF+RFwk9wfzpWG0LI/n1A+KPolNP+WGHVn4eoVaIPMmQNGbkZ4FJXOJySxFHkXm3oya91z0fcUQ5191VsCQtHQ9IRDe2+F9R9mwfBuFeSUE+ny89jqJTn5u4Em5oig8NXdcwOOucLTyev+nLJtQrvMqL04EOWZJmBXVqJwI5+kxArgKOOjcrnTuq0Y1/tMQhjoolrNR6n6LyPoRMr9G1NuIUvOpijatyqJOeip2h/SSe9Z7UG7q0ZkNT46hfXYDX8KgBiY4rnlJ++z6DOnenmRXbLbuPJ/QMYFX0dBQcEetKVArOYn2TRvw8f1DWTX1Lr6ZMII37xqEoUwO0VPDLqZpfe88r9oZqTStn4nRoLiloP2N42/0st4r907diT7hbbqIQOH6LByQezzOVcBN2WG0OTs2Y1WG2lDWDUi1YiqrS8dRKJ6DxmAjQay9XsVQ9DHS/leM+y0/Gp5cj/bnttbe6EM4heC2F67ntV+fxeDKjdHl6RQcK2T8FZNo0f6kwJ1LiVRVrzyZC687N6g9rTo399vGJ9fG73CBiejpPVqT3Sq2kusVj2AenH9RKF5cINAKpCVgqyCEo6K2BxiQAFuqUY0qC2GoX+2xiQEa16zhRSzcj2vnpPuDH9eRbrTw2MALGPzyhx5FsSDkxt2JCuv+PsCIV2dTPyON2org0Il8bPqk/Ujuxa5xnecYDYLeHU/hhl6daV4/E7PJ+/ba5dQmrJl2N7sOHcNmd9CiYZ2QEswtG9XxXlwu63lCm9S4PDBuKe2ydurIjb4rl7KSO1xN1+C25z5n+awxPgQrZjCEMdkyt4zNWMnDoeD5IMdvAfPpiKReYN+OPPEw2DejfTAG8FMUNnIUI4+NgMxPEp9/Z/8LhAVkPML0MsBQBxx/h2sMsmgOUj0A1vVgbAZpD6CYTw19apzw9Jf3cmvXR9j3p06VS0pevO0trn3wMlRHmR+Hs1ZUaWEpf6zdCQikVAP/XZ2EKT0zja59O4S05543RmGyGFn49jK35LNiVJAO6ezO+yYgy4TB+cMfa8P9+/xLEBeBoGpUJYhgjB9ACHEy8BJwFtpP52dgrJSy0v9aOnfuLNesWVPRZlRqlBaX8suCdayY/QuH9+TQptsp7N62jyN7cmnRqRkDbr2IZm2bkJTyL1JeqUalQ25hETd9MIctB474EBb3lMEVfiXAoCg8dGlPPl21kT8O5OBKjvdqj3P+riciOo+FT06KC4quE30bPbko49lRy54n4OxWTXj11iuiriPzwIz/44cNf2O1uaqme+wQetUkvReqrOJBMC+Ui9z4yTGa/shgzmgdhqelHJCyBHno9KBtRN11CCU2K7Fq/utQ+KLvgRozUZJ7BD7v0Jkgg4XCRAIFSAFsGuEwNIfkwYiUyxEinLJ05YN07Ece6YOuVncY8MOm44mMF1FSKqYI5fEjeQxpfqdGIMqQlHrZmRza4ycqX6c8KFXPj9KnaKjzv+QaKby3bQo1aodf/8zhUCktKiU5LQmb1c7yL1ax5NOfWLNog6+3JsSfymgyML/w/bDHruxQbbvh6EWBG6Q9jJI2PGH2uCCE+E1KWekL8FhOypYNHh6TkLF23zKuQj6TcO6oHwGvAgOd74cAHwNd42VUNWKPRe8s4a3xn1CUX4LJaMDhcFBS6Luat3WVJ3Rg95Z9fP/Bcq/jRrOREU9dzaCxl1SrgFUjJsgrKeHcyW/icK5OCuc83md65UrNkWB3qDw1dykKYJBabo1iANXhcUqAh8To1dT8qZi5IEFjKwbv9tKVv1JW4M2dtKN77cTKbXsY8OhbzH3iRkzG8suVPj2iL+8sXM3nP24gv7gEg1AwIOjQohGDe57Owdx89h06zsKft5Jzosi3lk+oOar0H6IHkHMsv9x2h4K0hQhTShkRM3IDoKTfgpp0MeRN0OpnJF2MSL8NIUIt3sRS9UvFHVYjS8G+DvLXIfMfR2Z+gGKObd0fF4ShEdLcDazLCd8blUByA5B3D6q5O4qxVmLHBXZv3aeJoCkK3qIAktxDQcitBPedys1nvIkNziYmo8Ifa3Zw5sWhPTguGAwKKenJAJgtJnoNPYdeQ8/hRE4e7z05m1/+by3FBSWYk8zkHjwetK/mwULpqiJOjA9+XEZRiPa/ggT/xBONcDw4q6SUXcvs+0VKeVZcLYsB/sseHFVVeXLIFFZ+uTouX+IhD1zGiKevcb/PPXicl2+fycpv1niNZzAK6jbJ4tpHB9H7up6xN6QaVR7jv/6O2b9tAqElv5clIfqvr+J6ZvkJwxIOGHlBZ06qU5Np81dyJK/It6nLmwMeT45vV+6d7pAvuy8JcDtOFJAGPx05G13ZrjWPjurjc2j/keNMeHsRG3f8gxSQkZbMqU2yGHhOO87v2CLiBYQSq42bnv2U7XsOa7bpvFpS4F0I1W2f1K4NP4nLEhZNv5WaGckR2REu1EOXgdwa4KhA1NuKEHEKj4sA6onnoXhmAkYyIeqti5uMspTFyCOXgborLv3HBKIJSj3/KmPxxE9f/8aT176CPzU0S4oZa1Gp5qURulUW8JAaRwDS6LqP6H5bLTo0xVpiw2wxcuH1Peg/6kLM5ui8d6+OfZevXl0UtM1HO6dRp9G/J2xLPdiKoJMbS2+UWtMSZo8LVcqD81CCPDi3VowHJ5ynx1IhxINCiKZCiJOEEPcD84QQmUJUBzlWNuzZup8H+z5LH8tQVs6ND7kB+GzSNxQ6J5ClxVbuOOthVn69xmc8h13yz9+HmXTja/Q2DaG3aQh9k4eyfM4v8TGsGlUOy/7QRbuG8LDo23mFjgmNaLy9dA1PfrqYnBNF/hPuy3QYLGzLUx/Gj4fDdVyirfwGhGTRz1spLPIODTp4NI+Bj7zNb3/ux4qKTaoczS/ip027Gff6/9Hjrld57auVHNPJPIdCktnEBxOu45bLu5FkMuqj5crUuvFswgEGVacQJz1bzfSkuJEbbaxA5AbAXCnIDQDJ/RM0kA15qB1qzjDUkt9i3rsQyWCquDyXsCD3BE2UjxdWL97ol9yA5jkZct8ADEaD57cDYT9byy4c/LluJ7u37OPPdbt47Z53uSTtBp4eOhWbtfweh7/W7Qx63JJq+VeRGw0h/gBKg8SYUZUhE7RVEMJZNrja+f/oMvtHoJl+ckwtqkbEsFqtvDDiNZbPXoXqCDrbihmklOzb/g+tzmzO8i9+4fjh8GPUHXaVp66eitFs4PQebajfrB7nDzmb9j3axNHialRWZKakkJNfFLqhMxJElFkslUa0pRpFi0pw6BL/Q0EfzuYeRgY+5j6ggyJBdYW1lW0nwSgUjuYVkZrikS197oPF2JHO0Dbhaa/lLlNYauOteav4bMl63n34GprUCz9sZ+SAbgzr35XFv27j0dcXenQEnHLXwrUQrSNtUqLF+TndPEaDYO6Um8IeM/aoUYFje0MYmyHLJTQggDQgkjA/Cfaf4fjPqKIW1J6DYmwU4bhBYD4DShfGrr+4oBRIbM7numVbAh7LP17IsMcH0fz0Jnw+ZR77/zpIwbHC0DcZ4ccrWhbOmNgfP/+F5bN/ofvALtzywg3UbVInIvubtctm88o/Ah7vfFHwXLd/JVKqxX7/6whd2FvKZkG2anJTgThyIJerGo/iktQb+OHTnxNGbgCkKslsUBOAHb/vxm6LXGXIbnWwdvFG5s9YzLheT7o9PIveWxZja6tRmXFfb6ckqmuCX+a4+73DOUGnzOYMa/OnFOYXes9PoGPo8nf0yfdljHOn4Njxklt2xYgZiyUCQb1M78TitX/u1ykUSIRdIhza/4pNey1VSV5hCc98EHnIjtGg0KdbG/p0beVRWMNZ3wf/OTcKYDEYaNEwk6+m3kxKUvwqzsvgbi8wd4/b2JFCKCmQOpowvlneqLMEpf5vkLWxfAPLY5A7JLYejaTL8WXilQkGKqJ+Sc2sDO2FdK5WOJyblEiHyp3dH2P+rCVk1s8gPzdf+5uUkZT2h9B/O89xKWHF3F+5vetD5AWpleMPV94d3Mt46+TrI+qvskPNmx66kXVD/A2p6viXe3BCEhxncc8BQoi7hBD3uLZEGFcN/8g9dJwr6o3k2pNu4/ihvAqz49cF6wA4qU1jFEPsBAcmj3yd3pYh1WFs/xE0r53pcWI470j+7o1KsAgOFW+CUbaTsh36IypC27JrZ3BKwzqYDAqKDExuykI4nDZICarEWCRJkwZGDDwLS5kYe4vZ6PZG6QuMusZS7M7rlbBmy15yTvjWTzmQc4Kn3vmWgQ/N4rZJs1m9dY9Pmydv7cdzt/endo0U3GUPAth/0xXdeO/Z6/nw+eHUqRXfiufy2NPBG2RUrlpSIm0MpD8OojZhER2lLoqxEdK6DnKiIGvqIaRtU/nPLwNh30Z4BCcWJKgcIYbJwytEvGbY+IEeYqN6iIt0Ep0/Vv/Fb4t+Z+VXvznvI1p9G9dNxa/Jfn5osoyAgb9z8nILeOuRjyOyv2Hz+nS/rLPPZycUQb+RF1A3OzKPUGWGVAugaGrohgXPxN+YalRqhBOi9g1QAmzEdwpRjQRi5+bd3NLpQbcufkVj/ozv6X/zhfS8qhszH/qQvKORrToFhQpPXT0VxSB4acVTtOocv6rq1ag4WO0OrpzxkfasL0NyhM0jBhDa1QyKA1rWz+Svf3Ld+1DxnOzy8Og8PR+OG0KbJvX9TqqKrTaWrvuL8W8v9CPp5g0BtG6YxW2XdGP2t+vZvOMfamemMvzys+jTvbVP+0E92zNj3i/uc706UvAIIDhAGuCyB2Yy++kbaVBHW2ned+Q41z3xAcWlNhyqZO/h42zYcYAHruvFpd1P83QnBL26tKJXl1bY7Q42/XWAW5/8rOxHR0aKhZGDYlRUMxxYPwh6WDHGz3tUHgghEKlDIXUoUpYiD3UCgjBuJQvVkQ/HRoKM8r6Y/yrUfj26Plxw/EV4xTstaCF5fmSlDa3AsT3IuU4pbGMTsAcO/fIHkXF/RO1jASkl65ZscsaZCi9vjPtnH8RD4753+LtHSJBld0qfF96HVcmiWUvo2rcDZw84M+zreODd25kw6EU2r9yO0WTAZrXTpU8Hbn9peNh9VAXI0p/DbJgTX0OqOiRUZBHORCAcgtNYSvkfDOCsPHA4VK7OHk3ekdhJtposRs676mz6jDwfg8HA09dMJWdfbkR92KxaVezk1CSm/fIsjw18gV2b9sbMRgDVIbmz23had2vJi0snYDBU5vCKyosj+46yasE6Tjq1Ee3O9Z1wVxSWbN9BXnGJZ5YvcEs0CzTSEgoCjQgkm4w8fW0fhk39lFKrw5Oroyc54J5XGBTBKY3rBlwxTjabcLjCPl2LtX4raQJS8ueeIzwycwHvPjqUpvWDJ/Se16E5M78J4qFUnApoUhu21OZg0idLefrmfiSZjbzx5c8UldhQdavAJVY7L36yjL5ntfZbnNNoNNDh1Gz+d89lTJg+n+ISbYLeIrsOr4wfHNTeaujhTPgKBvvfzsKiMViMsi2Jvg8npNIkzJaBcuKMYDkbUl6F4+PAvgHtx1EH0kaDIROhZIG5E/LYqMiMy/hfhXhvvv/4J+a8vJCgnjlnYc9AkPp6VE606XYKqTWTWb3gd13D8NaIVVXy+n3vexEcu83OxhXbsZXaaHfOqSSnJVFabGXOS/P57oPlKIrCxcN7MvqF6zi46zBN2zSmwcn1whqvSiF/SnjtlLrxtaMalR7hEJwFQojeUspv425NNXyw+MPlvDBielRem6RUC6NfuIF+N10Q8AESaf9Gk4Fe157rfl+/aV3eXPcCdruD3777nW/f+4FV89ZiLY6NFv3Wn/+kb9K1nH9Ndx56786Y9PlfgJSS0Z3GsWvTPve+pLQk3lj7Pxo0q/iH3/ZDOTgCTBykgv+8bj3H0J2almyhVYMsLjq9BfNXlVlhds0rdF//AV1PwxSAMFttdlZv38fvOw54PEH6rHwve7TJjapKikqtvPrFCl64fYDffl3ISEnyvg5/16g3WcIPa3fQ45ZXtJ2K/6mz3a5y8GgejevWDDh2j84t+P6tO8k9UUSSxURqcmK9JaotlAch8TkYkUDmXEPogpnFYF0J0h6TMdXStSiWTtF3JMNX5dOgcycCCDMi9QaEoRHU+TT4UOZzwPpTmOMkoaQMDN0sDvh88jzspc540EjzrKT05OO4IcjKrsPUHyYgpWT1ot/56tVFnDiaj91m5+/1u8Lq+tCuI9isdkxmI1tX/cn4y17AYdOSEG1WO63OOJmtv/6l7XPi3cc/Z/Wi3/nfwof/lXXqpH0XqL6huH6RlhgJ5KoMEYP1l8qMcAjOL8BcoWl22nA6YqWUGXG17D+O95/8nI8mzsVhK19UYHrtNB75cAyderULq32HC9r6FPUMBKPZwMntTuKy2y/2PWY00LVvJ7r21R7G/dOuw1Yam4c8wNKPf2Lrz9t5e9vLGPysUlfDGyPb3sO+P/7x2ldSUMJtZz7E3JxZFWSVB81q1yLZZKLY5kuEhXR60D3iXm6VMa8bszPHd1jPTvy4eScL1mjkxm8tHeeLbqdm89jQC93HbQ4HG//WPieb3cG4N+YhpURVXSuzmliA9EOU9Lk9UsL6P/eHvO5GWTVQXIvCAeL3fSII9GTP5ZUqo4VtV1VqpIVWoBJCULtm7IpoRoTjI4MfT0t87YpwoVr/AEeYycsiJXYD236HWBAc2++h2+gh0kGWAFYwtUNkPKGRm3BOTRmMLJgMhHH/F+mh28QJx3PCyGP1my8TKINakpxhoSi/mJT0ZLr06UCXPlpxz6m3zgib4KRkJGM0GSgpKuXh/hMpzPMmp5t+8g0TtJba2PDjFjb9tI1251QeT33MoB4FYQYZYpEkeRQi+fLE2FSNSotwCM5koBuwUVaEQP1/DIveX8rkEW+U+/zk9CReW/0cDZtHpgF/6+RhLP3kJ1S7L6HqOfgshj95NQtnLaWooISOF7Sl2yVnaHUBQqBNt1P43Y8EZ1JaElKqlBaGEw/ujYO7cvhy2gIGjUlUfYqqiTVLNviQGxcKTxSxZ+t+mrSOoQRtOdC7TUsmLvrBm+C45g3+RAPQSRy77kYOMNjg1dk/4VAlUvENmXeFx5sNgimjL6P7ac3cx37dtod7Xvsaq92BqqpaKH7ZkxEasfKyRepee1ArPbyJ7XkdW7B07V++cyQ9kVFwfxY+ctauIp7OIqMmg8J5HZqTnpJYid2I4Vgd9LCS1jNBhoCUKtL6Mzj2g7kHirF+wLaqfRfkXhp+544iSL4cir8ktMcnBMxdojvfBYf/+0FAGBojas8BVITw3O+ldQ0yfxLY/wJDQ0gfj2LxtlEoGcj0h0bJ3TQAACAASURBVCD/WYJLbBsg+ZLI7Ioh2vdsw/IvVqE6HLhXFnQQvlk0TgSeDu3ffoAnr3qRiQse0VpKyWeTvmbB2+GFG1pSLAy+5xKEEPw6f5220BImVIdk9pT5/06CYzwVZIioEJGFUuO+xNhT1fEvn9GHswT+J7CpmtzEHwPrjoiK3Exc9Ahf5b4TMbkByMhM44Md02jXozVCEQhF0KBZXV5Y/CiPfHQ3jVo0YOSzQ7nz5RGcc3mXsMgNwM0Tr8OSYvGacFpSzNz92k18c/w9FpZ+xPTfniMpNbIwmdlT/i+i9v81FBeU8PDFzwZtc2hPxSdh7jp6jPzCEk+Oi3Myr5R6e20Azji5Ebde2IVkYUBxqY/ZwGjVyI7doWpJvwHGEsCLowd4kZt1f+3nlqlfUFRqw25XUZ1znLDgZwE3yWxkeL/wEoMv7HyKRlJcmwOw64pu4lRZc6mz4SuR7Wrj+vweG+HrVa18COaVTlxYjWr7A3m4Ixy7EfLGQ04P1GO3+5X2lSWLIac3Ec0I5F6QZkTNl0FEqWJV8Fp057ugROgpSR6iCSzoyU3JUmTuDWBbCzIP7Nvg2HWoueOQ9r+9Thcp10Hy1YAZLfTQNeVw/Z2TwdAUkXZHOS8oegx7/EqS05IwmE3OPX5kF90hsa5VheDfA4ddZdOKbfyz8zAA37z+Le889hnSEfw8c7IJS4qFgXf2YciDmgeiMK9YCyH3CYULjFUL1nFo95Gw2lYlCCUVkkMsMhjaJsaYalR6hOPB+QdYJoRYgG4ZSkr5Ytys+g/i8jo3UnQi0vhoD5JSLHS6ILxwtECo0zCTyd8/HlUfZXHKGSczZdkE3nn8M/5at5P6zepy3aOD6HxRewAURaHF6c34+vh7ALxy51t88/p3Ifu1lfiGPVhLbaxesI4TOfmcc0VXMjLjK3Vb2bB3+wFevuMttq76E2txaM/Y6T0qvqr5s/OXYnNIz0ReBJji2mH77sM8dkUvGteqyaQvf8Bmd2At8BP+4poDlOnIbDRwdmsPubE5HNzxyhzPOa4tUHVPodNYLjvRkJoHZXi/LvQ9K/TK6W/b9vLoG/M9JTTKkKWysdHCNaQ/z5STFDpKVYpLrCRbTFRWqAUhwiLTHk6MIQBHBwNl7rml3yELZyDSPAny0r4HebyceX8lnyJqPoosqA32KBYUrN8ipRUhosuXEpZzkCVfhp+LY/ItvizzHsVv2Jn1K2TOAqSlG6Lmqwhh1shRjQnItJvB+jsYspCGlojS+Uj7HoS5PVguRIiK+842al6P11c/y2cv/h8bV2wn72g++bn5vqHV0qmyFjA0zRsmi4kje3No0KwuHz4zB4c9sBdLCMEz8x6iyakNqZmVgVlXg6rD+aehOiWptUDZ0FBtDka2u48Js++hc+/2YZxRhWA+H4pnBz5uX5M4W6pRqREOwdnp3MzOrRoxxs3t742K3ACJXPiMGC06NuPprx8Iq+2dr4zkjpdHcFuXB9mxfnfAducP8Za0XbdkIw9fMtGdcDn11hnUqpfBzM1TSK9RQbkGCcQ/Ow8xquM4r4TTYKjdsBaW5IpN5p6yZAWr9u4HE+5QLL9Jj1I7XGyz8eqClbx446X0P7M1/+TmcdUT71Fa9ppVwOCZDEjAIATPj+yPonh+KKu37cXqynELSm5c/bpIjndomtEg6HtWG8Zdcx67Dx7j1y17OO3k+qQF+Hx/2bSLu6fM9a4PWGah2J+IQkDPlE6eViiV+EYAUPBC8OMpiSlIqJYsx4fcuFAwA/QEp+hTgodYBYNzoSFUzkAYkNZ1CEvX6DqxXADG1mDbTFhhc6WLwOxZOJPSCurhICdYoXQ58sQjUON/aKm7aHk7yVo4rABIGVqpHll1m9ThjqnDATh+5ASvjn2PVfPWUlps1Tx6qgShC3jRh6gGgK3URpPWjQE4dvhE0Lb3zryFzhf5F6tt0KwuPa48i+/eXYarEHJAAQGdSpu1uJQnBr/I3Jy3MJrCmepVERhDLSAFUgCsxn8NIb/1UsonAIQQ6drbaEX9q+GCqqqMu+gpdm8JnZQcDEaTgXOviPLBV4kghGD6rxOZetubLJi51Oe4OdnMqOc9E6Gi/GIe7j/RZ4Xs2KE8BtUZSWqNZObmvB13uysSr9wxK2xyA/D+jlfiaE1ozF63iddX6HIxFJBJgA2PvLOTdLjeSwkbdms5BEaDQnZWTWqnpXDgmB/5dAlCSlAEZoPCI0Mu5Jy2zbA5HG7ltLyiEhShn7o6hQRcY4PHReIKoVMligRFCIb07kivM0/h5Aa1OV5QzHUTPuToiUIURWC3q9w5+Byuvsg7MXzu0g08+95iv59JWBM+fyTMlRskYeGSzfS7oC010pPD6S2h0Fahg31HTShKgoRDiucFOXjCu76JIxrpe+f1JF8BBZOj6AfInwiWuVF1IYQBMt9D5twAjrWhWuNb8DOcibIKJV9puU01pyHMHcpnbAXgk+e/4t0nPveI++i9NToXqizjxSlLOCwpFvqNvICaWZoWU6OW9dn/x0H/gwoRVAwo/0Qhf/z2l8cGIdzfT1c4ZaB7R2lRKW/c/wG3TxkesP+qBCkl5D8WqlVCbPk34N+uohbyaSKEaCuEWAdsAjYLIX4TQpwW6rxqBIfVaqNvyrVs/HFrWO0bNKvHF0dm8sJ3j1IzK52kVAuKIkhOS6Je0yxGv5CYlc9EQQjB2NdGM2vLFE45oxlCCBSDQscL2vLZ/tcx6SrDL//il6Du/8ITxfQ2DUmE2QnB2u83cGPru+mXci2XZQ7njfvfZ/PKYIX3vNGux6kYjRW7ovf84h/dE3MvhTSTTjlMgrA7a+E4CUb9mt45BDf37+oVLibBk8TiDCmz2VWe/PA7Ot/6El1ve5l+D85k865/6NSisZfEq74Uj6dDjdwIBygqGFSnupsq2fb3IU5v3pDUZDN3Tp7D/iMnKC61UVhspdRmZ9rsFazbvo+Vv+9k3EtfMeCeGTz3zmIPWYoA3jb5aSAlQkre/HgFV982k517Kz6/yge59wY/nnpXYuwAsAa/78oiHZFIOq/84whNtECkjgARpSy7fTNqafThN0KYQR4LpyUiqT9qyWLUnP6ohzohjw5Cc7mGAfUw8tiNSDV29dviiRVf/sqs8Z/6JzduuFZdcOYmCTfRMCebyMhMo3HLBtwy6XpumXyD+6xbJw/z8h7rcXrP1tRp5Fs3y2F3cHfPxxlU5yZ2bzkAiqJtqoqXPLVTFSWQFMK8N75zLi5UfciSr8OQHleRjn9f/lE1Ikc4s5w3gXuklEsBhBDnATOABJa9/nfB4XBwea3hIRMOXbj87j7c9sJwANqfdxof7nqNn79Zw74//qHpadl07dcx7KT/ROP/3vyO1+973ysn5KTTGtPzym6Yk810H9CZRi0DiyI0btmAab88F3SMY4fDkPkErs4exSd73qjS9QHmzVjMS7fPdD937TYHX0yZF1GI4uTvJ8TFtkhwojhweIw0aOIBBmcTdwSWhD4dWnm1vezcdsyc+zP78wrcamL+EnlUVbo7Ongsn2ETP2HaHQOpn5HOviMndEtZTrKjD0VTPWJmeqz/cz+qKtm2+xBHTxT6JKeXltp59I35nMgvodTqied358243uhG9kdkPO29iZsermC8YqFiLyrlf9O/5fXnhlKpYA/mNQElfXRCzFBVK8gQC0v5D6IWfwLpY8HUA596MF7wV8LeifSxWgthQmYtg4JJUPQpUM5AiONjkXV/cId+lRsyHFU3FZk3GWw6L7p9c4QDqVAyH1KujvC8xGPi8FfL7An8fPZRNBSC0iIrd70ykt7DzvNp36VPR5786n4mXv8KBceL3J107duRCXP8K3491P9Ztqz8w90/OD0YOpLjttQVmubn2Wa3OSjOLyG1RgxlyysAavFCODEujJYGKP0RUgbF3aYqD1l150LhIByCk+oiNwBSymVCiApLahBC9AFeQvOdz5RSTqwoW8qLqxqOxm4NL5xo7vG3SE31/rhNZiM9Bp0VD9Niivlvfc/Lt7/ls3/35n28t/lzhBDMfPBD0jPTGPLAZXTt14n6zepijjBJ+pzLz2TWIx+HbHfsYB59U67ly9xZJCVXcildP7BZ7Uy/590AK/jh9dG8Y9NYmhQb+ObroziVQMt6VT5Zvp7rzvMO+/r8uRu58I5XKVRUvw94dwe6cVS75PYpcxBSR15cDEPPQGRg7mg2GhEC8otKMfhZnZVATm4hqh9BgkBzYk2KWnq3dTZ3z68VidRdp/6VNEikhC1//kOp1Y7FbKTUamfJz9v5fdt+shvUot95p1ErI7GTHdVeGKJFAmtaFYQZnmlfD8eGhdHQ34/PAOY+CJ3ik6IYIOMByHgAtXQFHBsRnh1eQx1CHr0eUefDyM/Vw3QSWA+EbqcnN+WBLAE1N7o+EoBv3/sRa5HNHQIWLqSzyK8Lk29+3S/BAY3kzDkyi2OHjpOz/xiNWtYnJUAo6Z6t+1m/dDNOV5F7vzssTb8A47qXBErLkZLk9Kr3vNNDSiucCNfDa4YKFK2oRuVBOE+Vv4UQjwohmjq38WiiAwmH0LQqXwX6Am2Aa4QQvjIvlRjXNr+D/NzQq3etujTnW9snPuSmKmHGA8Efwq4V7/zcAmY88CGjO93PoLo3MWv8x36lWgOh8SkNMVnCC7lS7SoDMoZz9GA4IRqVC//sOIQ9SNHUcD6DSYtDxS8nBmaj89bjSsvQbcIZEubveb035wRzf96EQxdykWQxUadRDf8DOfNmcDgThdHeC9U7/tgtvSx9N5yRIPr2RoNC/3PaIITgtGb1sfmpH2VQhC+5cY2nSoRDgt25qc7rdtnoVJUTEreMtP7zEE45bJd9+jwc0HKEFAFzv1vPRcNf4alXF/L19xt545MVDL7zLbb/fcj/5xUvHLs5+PHkxNStkI79UDQzASOZEOm3Bfa0WMMsFuoP9tWoedHl84jUEUAiJr0SGW5IWwXB4VCZcuuMsMmN29frLgLsgeqQPDP0paDn16pXk5admgUkNwDb1+wIuGhVNgIhnIiEhOW2xQmy6OvITrCcHx9DqlGlEM63fgSQBcxxbnWAG+NpVBB0Af6SUv4tpbQCnwCXVZAtEePKBiM5EkbtkVZdmvPKT88kwKL4ovBEZGomDpuD0qJSPvnfV1xsuYaJw6ZRGobcMUDPqyKLmLwm+1Z2b4smeTjxyKiTHjDOGvCVNfWD1ASv3AfCXT27u+WNy9Z1kcHuShKe/fR7et7/Gv0fm8nD7yxg5eZdtGpcx3dyooKwSRRnHo+ignBo7/XEwKewqH6fqx/dx64IQftTGjFmSE8A0lIs3Dn4HJLMRvc1WMxGTIoS1LMmnDk9BhUUFxEyOIkOOsKl+2zcnhy9fWW8TEaDwlkdm3HV3bN4fsZibFY7ilXFUOLAUeKgqKiUJ6ctCPIhxwGO4LkjSo2bEmKGzJ9K+RXRIkEpsmBS4MO2KAgOQNFbUeW2CEtPSBtDeEEcUaJgMtK2Lf7jlBO/L9usCbT4EAX/Xlmk1MhNACz7dCUncsILmw6ErOzaEIAcS53npqxqYtmFQSkl9ZtkRWVLpUBYdaAUIAlRcyoi0npP/0X4ewbGa6sgBJxKCCGShBBZUspjUsq7pJSdpJSdgOcIqK8ZdzQC9LPSfc59bgghRgkh1ggh1hw5UnkSzUZ1HEdeTqgwDQ1tu1d8fZJYwJQUxcqdhCUfreCxgSFkZZ24ZdINAZM4A+HmduOYM21+eayrEKTWTInqZpHZoGbsjIkSN3fvjMnPyqNrMp9k8ZNT5rxZ2qwqBYVWDhzJZ8Ev27jjlbksWbvDWxHGrpEZoWcHrm6EL6lyS1S7PEiuzQFmg0KfbqfS7+xTGXnZWXzw5HW89sBgr3ozV1/UiVfuHUSvM0+h86mNufPKc1FtQRJ79aFnaGPpY+qDfZPdnhop3QQItMmMcEDjBjWxKZKDR/MRdjAXSgylEsUGxmIVY7HKvn+OkRvhAkR5oR4PVTKtRULsAKB0RYIGkmANolIWZT0bUMC2Mboe0kZCnR+IKIGvXHAgj92ELF0V53HKh6Wf/ez/QID7Uzj34G/f/SEqm07v0Zo6jZz3az1pcXluRZm8HJ1d0ilA4Aqfu//9iiuiGguoxx8EGcZipOVyRN0ViKRq7001NARbK30ZONfP/guBKfExJyT83Ym9bjdSyjellJ2llJ2zsirHysWuLXvZtSk8b4HJYqLfyF5xtigxGHR3v6j72Lh8K7u37AvZLiMzjZHPRp5U/frY93jnic/KY1rC8cnEL6M6f+wbiUniDgdSShwOGXBqVWJw0LSu6wGP51fu0BETl2dFBYddggMUOxq5cU38hTOG3XmSa3Kgv2noPUc+YWqAyWhgwqg+PDGqH6MHnk2LbP/3lQ6nNOK52y7htQeu4uqLOuJwSP+rWWXDzfx9PoE+ON05QkU3kXGSHQHNW9Zj1YZdgMRUrHqROYFG2mSpitGQoLCVkteDH482nyQSRE0sIoDiq4zlNiO5P74SzBF1Dkr0CxaKMQsyXojSljCgHkYeG4VaEOK7UAHYuDyA4IROFnrQ2H6Yk0yYzEbNaxKCE0Yr+qMoCi+veJpm7bI9triJTpm7gyzzuszKeesuCVxAiDGk4yCUzAmvcY1HEUpGfA36t+G/6sEBzpFS+nyzpJQfAj3iZ1JQ7AOyde8bA2FkSlYcNq7cyqj24Sh/QHJaEg+8ezvZrRrG2ar4Q0rJ/j8D6P5HAEUR7NkWXp2gVfND1XXwj4+ensOGH7eU69xEYtW88l2fC137doyRJdFD1cuc+oHdAQ9f1Ysxl3THYjR4EwPnTTNQQIkinYn6+hVY12pnCLuMrnN0N2fVobJi3d8RXJ3HHiFx5/u4vUJl7PU+SWhqcGUg9cbrbBOq83rdhA6+XbkVh1166gn5sSvVYCAjLf45GGre9BAtzCjGWnG3wzNc9wQNlAypQfKOLBeCqVv5uzc0CqPgYXhQUgYgan8BhubEV+yhGAqmIR1H4zhGaOz4fRcj2t5Db/M19DYP5cBfwfLRJGm1Uhn1v+t5a9OLDHnwci4ZfSGndW8V5Bzoe9MFUdtZp1Emb6x9npNPb0J5Z4vJ6UlVusinLIkglPZwD9TCT5HSFj+DqlGlEOxuFmyNoqIy1lYDLYUQzYQQZmAIEGH2WeIgpeTenk+E1Xb8J3fz+cEZVUIdLRzMeWk+y7+ITUhCuIRvz9byF0y9r9eTnMit3PUasprULve5lSk8DcCgKNgzpO8zW0dkPv15A0N6dMBkMHgn1OP7v9fNyuWm8Qfpf4ogJBgcTjnpMg2sNgcfLIi8/kizhrU8ISVuQuZiTb432GSLiVbZWVjMJqSxzJSm7PxGBr9MgpBHgIZZAUQZYo2iqcGPpz6UGDvc44UQO4h+ACAJ0m5CJPvK1ErHQdSCt5E5/cFWnnA5IxhaIjLfiqncvTC1QdT5CpIGEN+8HIm0/hrH/oPj6WumcmvnB9m3/YDzN6L6/a1I6cx2FDDlhycQQlDvpCyuf/RKrrznkqB1x26aeC3JqbFbPGh7boiQ9SBfg74jqnq4ViTf8XzIfxqZOwIpE5FnV/XhT1QnHltFIdid7LAQoouU0utuJIQ4E6iQ5BYppV0IcQewCM2nPktKGakwf8JwXfPwYl8tKWYat2wQsTxyODi0+whPXDmZnZv2oBgNnDOwK3e/dlNMb8D+8NFzYbqVg0AxKLQ5uxVNT8sO3RiwByn2GQ4G17uZhaUfVUrFGSkl1zw4kJ/mri7X+cMmXBVji6LDgfw8pAUnoZFgEAgbGK24J/Hfr/uTdVv2cWaLxqzatofSEnt465fuJFw/D0cXMXBGn1hMBkptDndtUPD/SD2eF3naodlo1HJrlDJWSy2vx+7QcnQURdC4fi1GDOpGry6ncDy/iIU/b+PPPYdZ+MNWj83OcwGyaqZy5HghgZSfhAPPSWU/NCm5tG/7iK8nUqj23SHbKOnXxt0Or/FMzVCNXcFezsUXYwcwNAbbDpDHtE1YIOkyjdSox8HQBKH4ql+q+VOhcCYQnnCKF5IGIVKuAFETYWpZPttDQAgzoubzqI5xcPR6UCP3WoaGDayrIblvHPoOjiWfrODH2b/4OSLd/3n9VFQVKWDzT9s5qXVjcvbn8vuyzZpUf4D0OlOykavuu9T/wXLiijv68vWriyI+L6VGMsOeqPz1hwJBSiuIwDXy/KMUbGuRpcsQSf+OUP9qlB/BCM444DMhxDvAb859nYEb0DwnFQIp5Xyg0meGb1ixlSN7w3PFGwwGGschLO3vjbu5pdMD7vcOu8rSj1ew8cctvL9jGoY4xuC7i5lFAdWhkpebx7HDx6lVN7QHwpJspuBYeEIOgTCo3kjmHnk7qj5ijd8Wb+Cl22aSs6/8oR19R0QfMhFL7D5xHIvRQEmWg5SDwql25quClltYzI8b/9aEr6QrGR/tHwX80hHpZ7cz4VYv/ZyWZsFWbA8YyuWCIgRnt2/mfl9itfHShz+y7Nc/AMnF3Vtz0xVnk5Zicbex2R3s2ntU4xdumz2c49Zrz2XF2h2kpyQxqHd7urRr6j63Ts00ruvbGYAxV/fkiekLWLNpD6qUmE0G7DYHuceKtElW2XA2Kd15SoZiVauXIz3HBFCnVioD+icgXDEnFKkOLJMbV2TcC7nlIfzJiIyHEeYOgZsY/E/IZOlPUPg25SI3AKVLIGVw3MiNHoohC5n1FfLwAJA7Yz9AyXdQI/Fy9S/fMStEC5dHWXrtmnLLm3zzxnf8tTbEZyHAXurgu/d/pPcNPaM1140TOfkIg0C1q15eu7LiAnqc3L4JLyx+LKgUdWWFlCqy4BUonAWEU5C2LGyQPwmqCU5oVKB3JREISHCklL8KIboAtwPDnbs3A12llIcTYFuVxkN9nw2rnSXFzIDbLmb35r00aF6PksJSXhjxGttX/4VqV0mvk8aFQ8/lynsuIb1WWkQ2jLvoKb/7c/bnMueleaxeuJ7NK7djMBrodNHpDBrTn7bdW8Uk9CE9M428nOhDvv5ev4erG91Cux6nMv7jsdSqGzi05qz+nZg383u/P9rUGsmc1v1Ufp2/Luh4hceL+Wr6Ii677eJoTY8Jdvy+mwmDJlFaVM6JEcRfJKkcOLlmprYIaoSihpLU3X4kWQUIBVSr0wniJCKaU0I4JyIam5FIhOtChbOtwXui4q6t4/SIOGwqNqvDnbviFxJUJFkZKeQXljD2+Tls+usfD4mS8Mm8tXy9ZANfvTKadKdn9OjxQs1DI709Ly6sXr+LYQO60uX0k4L+3jJrpvLSw1cCsHH7fm59/BNnVI1GVqQdV9KR+7o1GWzt81DsWqiNCYGUcHrbbJ5+elDEioORQs19Dghea0qp/3tcxpbSgSz6GIo+AlkCpjaABUQSIukcEDXRasCURNhzCfL4GGTqKETK0Ijuk7LoU6ISH5XHkLk3QtZ8hKFR6PZRQggLZH2GPHxm7DuXFVODrCgM1UAhtHtJ2bDZkOTG2Q4Bbz38UcwIztZf/mRc7yeRDumrmuYaswxMSUYeeOcOMjKrplSyLHwTCt8EosilcexAOg4gDFU/n7ka5YeIpKBiVUPnzp3lmjWRx85Hi1GdxrFrY3DVtJT0JBqf0pA92w9gK7VpOvwBIBSo2ySL13/7X9h1TP7ZeZhhp4Rb+dcDk8XI018/QMcL2kV8rh7fvPEd0+6cFVHBzlBo3r4p01c/F3BicWTfUW454wEKThQiHZ5xW3c7hcc+HUutejV49rqX+fFzf2EK3vjW9knM7I4Gz13/Css+Wxm07kIo9L25F2Onxzv3IHKM/XY+C3f8SWmJnbQ9/vSctU2xanVsygoLeH239MJGTjKjh484gQCjUHC4CnT6eHx0r1XpjiOWIgAXUuHyXu148KbeABw6msflt83wxB+XvTSphcf1OLMFT4zpH9ZkeczTn7N6wx5vxQF9RXOpEzGQEmOxipBgNht57olBtGxZj/QErOiqqgqHQ+QN1HgZJblPfMY/djeULsa/t8QISjaoByk/4TBB6iiU9DHh25Q7EqzLyzmeC0ZIvRElPTzRmlhAPXhK7Ds1nIqSlfjU2d6m0IEnEjwFgaNA/aZZjJp0PecO7BpVP/f1etJHACfUs6Bjr7Y8/+2jUY1bUZBSIg+1o9yeTh1EzdcqJExNCPGblLJzwgeOEJbsbNl4zNiEjPX3uHsr5DOpfMkGVRzb1/wZktwkpZp5c/0kdm/dR0lBSVByA1qIy7GDx1k4a2nYduQfLZ/3xFZq58G+z1JcVB7XsAeXjLqQ6x+/Mmq5TD32/XGAv9btcr/f8vMfjL90Ildnj2b4qWP46tVFTFz4CFfc1Y/mHZpy9mVnMuWHJ3jpxyep3aAWiqIw/qO7uWv6iJBjLf30p5jZHQ32bt8fFbkB6Hdj5Uw0fb7XxYzq2Jn0EmNoT7nTY4GUCJvEUCIxlmo5O4pdI0HY0Tw3Ls5SJiRNj8z0FIx6L0aZFVv3/1K3ckoQZ5iAr5du5Nnpi7jpwfcZOPpNhENqk6UAJN9qc/DDr3/y8/pdoa4egA3b9nuH0LhIkV4KW/HwH43cGGh/ejadOjVNCLkB4HCo51hS3MiNtP8FpYsIPEGyg7qT6Eq52aBwBlKG34dIvoToQ/LsYI9DyFgwiMBS1+WGYztqyeLY9xsC6bXT8Lg6fTfNKxyDgaTk4M5DPDloEiPa3M2ab8vvqdyxYVeZroMbqBgUHnyv6ta9kXmTiAW5AaDae/OfRzXBiTHu7BZ65WTM9Ju46fR7Iwo7spbYWL1ofdjt86Mo4idVyWfPf1Xu80Fz9V/3yCC+OvY272ybymf732Du0Vk88eU40jLD80L5dgo5+7U8lPkzv2fs+Y/z68L1HDt4ggM7DvHZpK+5vctD7Ny4h1HPX0+PQV0pPFFEabH353zJzb1JSrX4Oz8kWgAAIABJREFUG8GN5657pXw2xhitu56CwRQdSWx5xskxsia2MBkMjD2rO8PbdvKEl3lB+igcKTbNm+OelkjtvQIoqvO1Q3tdVovfpWQmgHHXn0/NtBSf4fT5KrjC3hzSr+qZG676OzbJ/y3ZyBan7KzeoxSI5NhsDh7635csCaLKBJCXX0xpsV0jTEHk0yQgDVrUmtls4KJebXny0YFB+44l1JL1QEHwRmnj42eAdQPuWMa4wg6OCGTwky4B0+lRjmkC0xlR9hEh0saghfPFEhKO34WU0S2iRYqzBzjD7dwLAt6bcL32h3CjEaX+JiLYu+0A4y+dyMK3l5TL5rqN6+i6LquC4IvL7+hDZv0Eyq7HENJxAIpnxK5DY3Ap7/86EqWgVllV1KoRIe69cELINlmNa/O/YaFqQ/iBgLpN6oRu58SLN0dXUO3AjmC1AcKHOclMw+b13e+79T+DOYdm8euCtTx62QsRhbA57CotOjajuLCEV+9+xysMTY+1izeydrFW5dtgNGBOMvHoZ2PpfJFHOerL3LfpYwleGHTy6Ne5941bwrYvHrjqvkv5/qPlFNnKv+JcGVXh9Oh+alPeXuI/lNRY5CQrgCqkVx0ZPdyqYjoIl8KYU/rZpZwmBTw6bZ5HwQ1tf5LFRLNGmeSdKOHAkRPabmexThlogmMvcwNX8CJKbhGzMu4ffXc2h4Onpy2gUf2atDq5HgAOh8pn3/zGF/PWUlRspWH9GlqonBAhF5kNZgOzXxtJ7VppcRUSKQspJRwPnbyvpMVP0U/KRF2vCkrdsFsLYYLMt5GH2kQ1pkgZHMX5kUOkDEHKIiicDjKWMvp2sK4BS6LqEsH6pVsCExgdUmqkeOfriDL/6wqA+qoU6o9p/ztsDqbeMoMLr++B3epg2acrWb9sM//8fYjCE0U0a5vNkPsvp3mHpu5erCVWVs1bR+uuLdn7535sxfaQdpssRm6ZfEPIdpUVsuTbGPZWDyEq93OvGvFHQIIjhPiGIOsFUsoBcbGoCmPjD9uCHlcMCkfKqYRltpi47LbwwjqKC0rI2ZdbrnFcOHtAfMMlO114OkmpFooLwkv0FYrg4mHnkdW4NhuWb8VuC33DB3DYHRQXOHjiysl8uHM6GZmaUIOiKKTVSg2qurZo1rIKJzj1TsrilZXPMPOhD1nz3QZsJf++ImZntmhM41oZ7MvN85pEKFatNo0+3cQfBFAjJYnXHhrMa7N/YsXvOym12jVSY5fehEi6cvGlrjaN85BVZfI9l7Pt78M8PPVrSq0OT86OKrUCnPokHLWsM0V4BvFOD/J24JS9q0pNde2tT3+ifatGpCSbWb95Lz+t3kFpsQ3hgD9yizEYBarRxbak9weiW919ZHRv6tZJfEVveeSy0I2S4hw+k8BK5vLIBcgaU0CpCdZVoB4Gw0mI5N4IxTe0SwgjklSgvEqPEl/ZvPhCCIFIG4lMHYY88SSUxDI3MbHXkn8shGfRCbu1zLPF7dVVfXY279AMg0HhjzU7vM8pU2TYYXcwf+YSPn52LnnH8rEW29yhr3u3HeCnr9YwetJ1nH9Vd3L25zLuwiexWR3YSm2+9gTAdeOvjGltpMQjhrbXeDB2ff2bEXDl7t+BYBR3EjAZcAUsz3BuBcCm+JtWtTBpdGiPieoIIJ4fApZUM/e/czvN258UVnuTxYiIQiXJaDLQc3AUVbbDGsPIVfcNwJJiDqv9sAmDuXOaljuTkpZUrryUFXM8tS+OHsgNK0TwtXvejXicWCO7VUOemDOOefnvM3HhI3Tp25GmbbMZOKYfsw/NDHpuy45NE2NkFBBC8MHYazA5tHAwYZcYC8FUAMKuCQYIBygOib+vtaIIWjapS5P6mTx3x6Usn3EX917T08vbUzbiXtEJDrg2m93Bnc/Mpnunkxk3opd2vpRukQFhxZNTI9EITqCvod+IO+nx7qjO/BynjapDZeWaHbz54QpenrWU71dsp6TYpuUVuRaFnbLY7pwiV/ieTmRg6KVn0KfHaRH+BaKHmvcyqMEXeACUmpELn0QEU9v49q+HPAbHh0Pu5VDwHBS9BfmPIQ+fg1ocoJKBUi+6MUV498tYQwgjIuNeEFHar4c5seF2rbu2CN1IVbEWl30uyDLkxoMd63b6kht/kDBnyjyOHTqOtdh7kUpKid1qZ9qdbzMoawSjO44j72gBxfnFYZObmnUzGPJgGAsMlRgi6RJiQnJEfZTk/tH3U40qj4AER0r5g5TyB6CjlPJqKeU3zm0ocE7iTKwaWPzuD0GPp9SIPO+k88XtmfLDE3yZ8zY9Bp0V9nlGk5Gu/TtFPJ4LdpuDZ69/hZ+/XsPBXYdjqoSmx9CHBzJswlXUqKPJWQYSJLAkmxn60BXuUCtTOQqiOmwOivI9YV7WUntYUrlzX1kQ8VjxRKde7Xj66wd4c90L3DrpBkJFn93//u2JMSxKZKan8NiQC7EUC0yFYCz1zplx5dukJptJMns7ns0mA8MGdAGcnpAvVjLl/WVu8hHor+xv/96Dx9h9IJez2jfTyI2uDwWnBLMVsEl36FwouH89DlBsEmFTUexS2xxSy/Fx8hS7Q8XmEh1RBNIsUA26PpwvFImTgKGJKqhwwxVduWNY4gUlVOtOKJoWumHd+NdkVox1SbRnwBd2OHEPqsNPNQV1XxT9qiQmv8g/hFIDUfc7MMZKOjqxEfI+Yj76BQIpgzzn/Cg8lgMHdx1xqzYG9rRELnTQrF0T3v3j5UofihwKwlAb0h4I3TAU0u+Jvo//CmSCtgpCOL+ILCGEO0tZCNEMyIqfSVUToThAn+HnRdRf2+6n8uz/PcRpZ7cqlxLZg+/eQXYUxUOXffITjw+axI2t7+aGlnexaUXo1dlwYbfZKXDmS1w59hI+/2cGC0s/4t0/XvYhL0LAY59737DSM9NQDJE9cBSjgc69PTk49ZtmUbNueOEs95w/IaKxEomc/cFDEU9qlZ0gS6LHJd3a0Co7y1nHxXdKIRAUFJYy+KIOZKQmoSiC1s3q8cjI3qQlayvbj0z9hne+XOWT8+IFp1fG33Gz0cCR3AJq10wlxdmnvpm3ByjI3dvlrHF5ihxOMiOlr1dJlx8khJ/ETIMAo3aWouvbNY4AzmiXzeihiV93Uu021NyLUFG1+iGBYB6MokS+MFEupNwfxclmIBZ2qnBiPFItQhZ/jSx8F2nbSrS6PtIWf5IYDEIkIWp/AKazie5aDAkNp5JSsn7ZFtcb3QNb951VyxdhEWBAn12mpDAJXQSfS636NXlz/QtVsqCnPyhpIyDzaxCu/DYTmshFcFEgD9IR1d6bajgRzh1qLLBMCLFMCLEMWArcHVerqiBObtck4LE6jTPpd1MvjGGoYQkBDZvX45GPogvlSE5L4tJbekfVB2iJ/Yd2H+HBfs+WO3/IBZvVzrQxs7i89giuajiK65vfwc//9xug5cTUza7N7INvMuSBy2lzVkt639CTj/e8xpkXe1cOz6xfk+YdmoU9rsli5OJhPWl6mmeyL4TgwffuJDkttELQphXbsNsrbuU0GOa8XLk8TNHAoCg0zkhHqDLoqs/HX6xGsalgVdn250Eef3kel901gyvvm8VP6//WCmyCuw+vrlSJsKFjH96wO1RanpSF1eag55kt/HIkr5xjFd0qMFDG6yMAoUq3t8WfV0m4jFRd/eEWRXBn9Qjc4XEu742L3Nw/+iJefvyqCom/V3M8SfMSGYDoNEbJfCZhNonk8iauW8CQDSk3xcYQ6zLk4Q7IE/ch859BHh0IIp2oiIF1Y2xsiwJCCETm24jM9yFlJKTeCbXnQ9ojhO09U+JQXycI1ny7wfNGr57mVgkIcsOJOILBdePxeIfqZGfSa+i52m9U4uMtciukRfgbvnh4zwhtq/xQzKei1FuByPoJUfsLRL01kDoqvJNrf6EJelSjGoThI5ZSLhRCtARcldu2yUTrO1YBTFr6OAMz/ddX+Winppo29s3RTL7pde9cHAGtzmxOjToZNGubTdf+Z3Bat1OinqwUF5Tw2j3vRNWHHtZiK3OmzmP0pPKrtEy95U2Wff6zO1H+8N6jPDv0JSYufITTztYkHZPTkhnxtKcg24Edh3jt3nc5fiSPtt1Ppc+I8zGZjDzzzQMMazWG4nz/IgVCCNJrp3FyuyZcdd8AzrjIV6L1tLNbMWvLFGa/+A1fTA0QM+/E0JNu5dN9b1S6JM5oaixUNixYvpllv/yJwa7lvqgGUE0Cd+KNcxKgAnmFJSA84tLSLtm3T6uQLlz/6HPwnf8rdg8xkYqzT9ffVEKjOjW48pY3KS6xYQjyt9aTHGlDm9e5q4HqPDDSE8rmmkoF6lVxcmghNbLgyrWRuvwbHBIMWt5Rx7ZNuG1YT1o1j2FeRASw/tMGgerzm5AueW0nlPrlk8gtN4xNI2hs0uRkDU20ooBJFyOEGdWxG0qD3xMihwryCJAKFBF57IaCEBUdfqdBCAHmMxFmXbiaqQVqylA43B4teSwI0hIbOrtz4x7v37oXXKIdBPmTlDPORoAlxcz01f+jpLCEeW8uxqXC5rUQoJeAjuAZ0+H8BOacJRjCkAUGZ7CQ6RQkFiDI1DNzIYqpaSJM+9egIiWcE4Fwg2DPAJo627cXQiClfC9uVlVBpKan8PGe6dx65kMcP6RJzDY4uS4zN012t7nouh6cc/mZzH9rCbs27eXk05tw/pBzqJkVe+WfFXNXRb7wFAKa0kv5CE5ebgFLP1npo35WWmzl44lf8vTXD/DPzkM8e+1LbF/zt9/nydKPf2L62HcY/8nddB9wJp/ue4NX7nyLFXN/RVUlXfp04PI7+tK0bTbpNVPDsksxKCwKkT8FcPxwHhebr2GR9eNKRXIyaqcFVsyrPGaGxI49R3jqpQUYdGRAsYNil9iT8VIuQwGpIzdIDzlw7RCAatRLuUoUmy4UDMDuJDmKdHtQ9uw56l7QdaiecDKpEPDz7Nw2m5zcAk5v3Zj0GkksWbmdw0fzUR0ez423XJtvX27PjtvDo12fFJrHBrv2WjhXfyc8dCkXdD+VikLxP50xUhrwt6CioqBA7e8TbBkIYUYqbUDdEqCFGUQyJF2ESLtXi/0vA6XWVFTrDZA7HAhP6TF8FIOxG9hX+h5SsiF5MBS+6Oc8I1h6xNiW2EJRTKjJQ6E42PQgDZF8XqJMAqBBoEUAIcLw0IT/IBVC0OiUBvS9qRd7t+7n9J5t6HnV2ZgtJvZsKyApxURJYak3ofHuIeyxAK8SDP8mSMd+UE+AsQVCmLXvvTBCoLV184Uo5spZ760aFYeQBEcI8T7QHFiPJ8NRAtUEpwxqN8jks31vBG2TnJbMoDHxjxEtKYq9ky0vt/x1EP5atzOgtPPG5VtZvWg9j1w6MeSzxGFz8Mw1LzH91+doelo24966jXFv3eY+LqVky8o/OHrwGKd2aUHdbO/aQdtX72DD8i1YUixsXL6VFXN/9U0+DYKLzdfw+eGZ1KiVFvY58UQwNblwQiIrAwqLSrl1/MdaKJfuAe9aUDVYJQ4jIAQGJynxmgboSJH7lZQYbNJ9zN+8QQsf086X6L0ueIWZSWe7QCTnpSe9w8Nuv74ndrvKvU/PZt363SHnLC6+4z98zXulVxohKclUoeSmJGc0gqOEDLVKuxfFVEE5YLXfgiP+lCANUHctihJajUwxd4L6G1CtW0E9gDC1Q+a/AiWfRmmcBPtq/4fUQ07ydRmULMJNrkQyJF+PMJ4UsFfVfhAK3wTHPkg6H5KurpDEc5FxP7J0kXYtPgczEbU/0CatCUSrM0727xlxJskFLKLprnkTmuSk1khh4Jh+DL53gN+cmIbN6+EIqaRaxpMT0OsEQoEGzcKvxVQVoFp/h2O3gMxFu7+YkRmPoaQMQiZfD0V+1GpN3aFmGCIn1fBFtQeHzkAbGS8prWrEBKqq8tX0RXz5ygIKjhdRu37NkOeYk01YS2xhf8n1KmThIv94IXefM5692/8J2Ka4oIQnBr8Yth12q50vX13I3dNvdu87uOcID/Z+2qtAqdFkpN/NF3D71BtRVclDfZ9h80/bcagOVHv5v85X1b+ZD3ZMI6ux78pvorFn+4GAx+zWypk3VBbfrdiG3ab6ejpcbx1gtGt1aFyFLqWUblLhT5BAvzLrznFxCRT5ixPT5euUJRrupn5IzinN6vr1YhiNCpMfvZKBw6ZzIq/YfY57quSax7hza7T+yxTWcV6KcJ8gJXwwzX8obCIgpcRhW4ghALlx/13E6f/P3nnHN1W1cfx77k3S3dJSpmxBRHhZAgKK4AQUZaoICgKCoKCAGwX3QFEUFRcCIqioiCKigDhwgSCisociQ5DRPTPuef+4SZu0mW3SpiXfzyfQ3HvuOU/aJPc85zzP70GJv6WCrStGUWsiU9cg024Dba9+0NAeUub75dy49GVqBbQCQEZ1CYKD4w0z5C1A1PoGYq5C5i4F2yFQa4JaH63gK4RSE4ztXAoZanmfQtbdTt18C9nPoqV+i6JWbE0kIUxQ61tk3lIo+AykBsZOENsHYWhTKTvg33zgZrcMQI9G8XyhfffXG4qq0KjVGby25VmvgkBCCBS/Xru75MHSnOtUuLqqo1kPQ/ZzUPi501EbkA9ZM9BkNuQtLHGVALUVIuX1SFHPCG7xx8HZBtQFPM9QI1Q6c257i3Xv/kChfecmO813UbP7F02iIM+MIcrArNGvUphf6P1LVeo5MfX9jPnPOpXFkLr+JQeWrj3gnWN/F0uwbln3B/f1ebJUG6vFysrX17L1m+0c3nO0zHWISiI1yfCmtxEVZ+Kj/94kKspfhZcQUA2WHf79L4NCs9WznLO078Qo9iR7K2hR5ZwklXByRNFExu40+dFFzRpxvPTwdR7PG1SFc//XiK9/2l16bOyOlCZRnMzx9ecc2LsddWol+WFdaLBZ9GRtDeklnVzBUOfjijLJI8LQBFH7c98NA+kz6iJ7AGR5PngS8FKwV0tDpt8Elh0gswAFbLvA/CN67kaMXlw0ZT7C0AwpC12dm6JhciBjPNR8txy2lg0hVETcMIgbVuFjl0RKyYLpH/huWOLPqhpVLrvxQtYtWe+1wPJFQ7sz6ZWxPtVOs05lY/Gzrk2xTZ6/iSa9PCawvsIULWch5JS+fxdjgeyXKR0qKsG2A3lyMKR+gBDVQ0muwnDOFa2m+OP2pgI7hBCrhRArHI9QGxbBf04dTWft4vVFzo1fCDi05yiXDLuAnoO78sbvzxIT73ui/s9O/+s4TB/wrP/2BIDBZKDDxf8D4M8fdrp1bhxoNsnBnUeC5tw4U5hr5qr4kTwyZFbQ+/aXFudW/bjjVi3qERNjxK2ymZQIG9RMjqVu7STiTCZUq8SQLxF22WUp3NSwcN69cUKU+qEE3lZr7Y7WGbWTeOXRoayYN4H4OO+fmdHDL9DFChxhb7I4HE2RsugL2EW0wN1rkRBlUpl6W2+v44Uah0KRrpjm+nuXUg+mU2oHT1I+3BBKPMSFuFgpBWD+GWQm+pvGeSdWAnmg/Ys82Rftv/OQp7w4EZZfQ2tqFeCv3//x+v0vhEJ8Uhy1G6USkxBNTEI0pmgjl994Idfc2c+rcyMUQZ/RlxCX6LvOXXxyHNKHFLVQBKpRBYdmvAcmzR1D/WaVIy4SLKTU0HKW+XBuHGR5PmX7W98tjBChBP7s4DwcaiMilI+//zyIKcro9Yu4FBJO/ZvG3i1/88GsFXz34c9+XdbqvBZ+D7Fz417/7QmApNQErhx7CUf2HWPaFU8FtW+DUSUhJZ50u1CEP/z46WYuNw6l46VtmPHhncTG+7+StGn1Vt59ajnRsVEMnzaQNhe0CsjeyXNvZnxHz8XR1i5Zz2XDwzsxuUenM6lbK5GD5jQ0s0Mn2Y4GSYnRLH1tHNHRRvpd/xKFCIQGSr7eTgI2k5tV9ZJzCeddG7ex7Y6wNmlv6izDpq/bKwJm3H4lbc72r8ZUowYpPHT3VTw5exUFhdbivhwvs4TaG9IRXSddDsfGmnjvzSDJF5cD1XgO+rqYhhUbCgJF6m6ahoah5p9VvuCgL5SE29BM3SDrUbD9he6AOFbmSzrICqgdQOaCFmzHT4JMB2u61zbS9h9CrdqT4fKQ60dotcViYeDtg2jRvimn/k2nVdcW1GtWh5VvfIW3vdXouCiy03P9ssNoMpJcL5m0fz3/vS4f2ZNzup3N7FvecN9ASpq0acjVt5S/BERloln/g5NXA97eu/5ihvyVEHdTEPo6zajmOzj+yER/J4SoAzj0IH+RUrop0RyhsqjTuBbWQLe+ge8/3sinr6wO6JqAFN9C8OEZOKkv198/kPgacbz98AeBb/n74J6Ft3HBwC7kZuZxXcPxaFb/d362fLWNAcmjqNWwJpfdeCHDHxiE0eRek3/RYx+w+FHXMJ5f1/5Bl77teXzFfX6P2bSN5/pLAHNunRf2Do7BoPLa48NY+NHPrF6/g4KcQoQUpNSI5fpBXejfp7gOUq6bXUoBCLNEGu3PHKqvXnJtSmk2S0DTUBw1clRhr+bpeu2dt1zmt3PjoNf5Lene5Ux++mU/by1cz6FDacUfDYnrPrp9t0fYc25SasQx/d6r6NC2Udio95lqLMScoaspakg0+w6DIWU1RlNCZZpWYShRHaHWJ0XPpWU7MmcuWP7QlZ5EHERfrAstKLFop64v7XBXEPLEFcj4cQjTefbcnfB4H1UUh/f4iK6XEnO+hb//PMSQyf1cTjVt410kw2ax0fZC/xelJs4Zw6Nedvy3/bCb214crTs4HgQG4sNE4KasaIXfQ/rNBHWCoPinmhrh9MIfFbVrgWeBb9GnAy8JIe6WUn4UYtsi+EnDlvVp2flM/li/M6Dr0o5mBDyWpml+r9DG14glJyMv4DHcIRRYsPNFl235f3YEL/RMKIJ7FtxKr2u7A5CUmsiX+e8y7/4lfDDrs4D6OnHoFO8+uZx3n1xedCy1QTLN2zfl1NEM9v76l8drf/liK7+u/cNt3R63dvuYrBTmmdm4agvnXdHRP+Mrifi4KCaO7MXEkb28tjuzSS32/lV6fUUBNIvUv9Gkk/fi5h5qVMBqA+mQhwawyaIaOcL+XLPZO7bX4Zn54CC6dz6zTK/PZDSwadNfHDqkS3oLKJ7wOr2FpaHYYKFBn0ta07GdZ+WsysAY0xM1ahvmrJlo5q0oUZdgSrij2u/ceEMYWyONHaHwe6AAZAbkfQSWHciURaA2qsRwsWzIeU7PmjK2RSYvRlFOj2KIWWk5vHzHQteDzu9TR4ilEG6LdZ/T7SyS69Yg/ZjjXln8+TSYjNww4xqSUv1f9Osx6DySaiWQecK9IumRvUcZXGu0V/U0GYJw6wol/VaCu/oZjYit/FyvKkk138Hx5470ANBZSjlSSjkC6AJMD61ZEQLlkY/vJiY+OuTjmP0Ig/tpxWZGtZockHOjGLy/FRVFIaWEMlzr81tijCr7jbptz1YMvXcAY58ezkfH3uSSYT1Ktbn+/oEoSvlXPE8eTmfDyi1enRsHS2d9GlDfgyZ7lx2fPuAZcjL9C6MId+687XJXJSJHtXBNrxETazLSq1sLhg/oTLtW9VHtTY2qwpArO7DszXE0qZeCYgPFAqrjYSsdLabgkJGWXHNVR9q1bsD8xT8wcvxbjJ/yDmu+3u5dgcmJnNxCVq12qqbupNTmPK6wUqSopqoKNw7rHvgvqQJQlASiazxObO2VRCdNOa2dG2n7Fy1jOuTMxDUROh8sW5En+kHhL5VlnhM2sPwGp/ogZbBr+4QnU3o+7BrdYH+fCiHsan9CPyYhIaX0zogQgld+eYp6zesiFAWEglAUmrVrzFNfTOP6+wYGbFNelveQOUuh96iE8646N+AxKwNp2Y2WNQctayaaWa9JpVl24LVYZ1mIuRqiqnbIXoTQ4E8OjlIiJM2PAggRKpq4pFimvnkLTw6b4/ekK1BSz0ghKsa7xOrPK3/lqRvmUBigKpqvUDDNJhlc52YUIejctz3jZ43g6gmXs2LuamwWK5qXejDuMMWYGDHjGtpeeI7Xdv/u+88hsRVQ/+XB6uMGV5Lxz97Ixy94UYuSMLjWzazMXYTRWLVXbludVY+XZl7PtMc+Jiu7QJd51SQ1kmK44dpuDOrXAYOTmpGUkpzcQqKjjBiNKt/+uJu//zkF6En+RaukXv68RlVh7PAejL39bf47kYXZLr/93D9r2LbzCFNv831zPfDPSb1mkZcdN/1dJkETJMRH8fzM64mNqUSFvgg+0czbIW0onidtNtD+rkiTfGM7hMxdgIifUNmWhJSME5kcKpLRl3oYAK673sJJJnrprM+4fETPUv3UalCTRXvmcPTv4+Rm5tGkdQMMRn9rpJfGlwPjS2Dg2ruuLvPYFYWW9QTkLaLoizXvLTRDm5DcRkXijNMu7DJYVHcVNX8+pV8KIVYD79mfXwd8ETqTIpSVCwd35Y9bdvDZa2uD3ndUjIlxz9zg84tk/gPvBezc+IOUskhE4adPN7P9x93M3zGbVzY+yfwH3mfzmt+JTYhBIjlx6JTHfkzRRqSUDJlypU/nBiC1QUqFf3lee0/gN7DkukmkH/MsjCCl5MrYG1ltfq/K3wzatDqDFe9O4p9DpziVlkPzZrVJdFNYD/QJTILTzuanX2x1WwbHG/37duDjz7bw77EMbE71kwoKLHyx5k+GDTmPunU8Szdv336YyZMX+7UsJBBcfWV7pky6vMr/nao7UsuCtOsJ+op0RZDzApqpP4opsHyyqsTBnUdcQtD0/zx/pg7vOUp+ToHHSIhgFdVUVKVsodVSIgwCVQ3v9WWt4BvIe7v0Ceu2kIwntfTTWkQjgmd8flKklHcDrwNtgXbAG1LKe0JtWITAEUIw6aUxPPjeHUHtt0XHZkxfOqUoP8UbR/9yU706yGg2jbzsAtYt+Z66TWozbcntfHziLRb/9TJ3vHKHiztmAAAgAElEQVQzBlNpv11RFYbe25/bXhjFgh0vcNMjnuuXOJNcO4nzB3R2X8zR5L3uQVmo3SiVrlcEHoIwftZIv9r1Nl2P1RpcYYbKonHDmnRs19ijc+OOoslByV1Od0XO0dNv+l7amnmLvndxbhwNDAaV7btKF1u12TTWrt3GlKnvMmnSO9hs0r0Mthsu7tkq4txUAWTOS5SuzVFVkJDWCy17QWUbEjLqNaujOzZOnyVv0Q1Gk4Hfvg7NJNyZdr18L6y5RQguuzG8BWMAyHyiYscr/LFix4tQZfBHZKApsEpK+bH9eYwQoomU8kCojYtQNi4c0o2JJ7J5+fb55erHYFS5cEhX7ls0ye9r6jSu5RQWEDoK8wrZ4yafpUvfDkx5bRyvTF5AfnY+Uuqy0nfNn8B5fcuWaH/PgluJS4ph7aL12Gwa0bFRjHpsKAMm9iEnM4cXb5vPL6u2kJ9dvslOl77teHzF/WW69qLrupN+LJ3X7nrHZ9srYm7gi4IlqGrwHbRw57qBndm05UDpE44wREe9Gvuh7l3OZPYra9FspevqSCT5uYW89Mpaftmwl6SkOLKy8lEFbN/+L0f+zcBm00DYBadtIA3Y84aEvQ+nPu3S0A3OSA76644QHKQ0g5YJSjIUBLeIaKWQ+xSa0FDiq0fRSGdqNajpesAekiqlLFpAcHZ4DCZDYFu7ZeSOV8cxutVkD7s43sPT7pp3a+gMCwKaLQvkwYod1OB/6YoIpxfCV76GEGIz0F1KabY/NwE/Sik7e70wDOjUqZPcvHlzZZtRabwyZSFfvLUOc34A9XHsRMWYqNUwlRfWP0JiTf+lX3/45BdmjnyZwrzgh6k5Y4o2cdNj1zHEQ4K9pmlknswmLikWUzmECJyxmK3k5xSQkBzndoX9wPZDPDt6Lnu3BBZz36ZnK57/6qGg2Pjzys08NNC/wqOr8hdjMJQ9lryqctdDH/LLlgO6MEFRdr8oKqjp4uQU/+hGcdreXpO6orRj4qTZj7t5j0gkUi0+LnAaT5PEGlReevUmmp0ZnHCYCOVDWrYh8z7QnRpsdpU0K7r0nc37xVWJWj+jqDV9t6ti9Im9wX1+p2NnxyFSIiAmLpqlh+YSHRd6sZ7De49y10UPccptTRz3Tk7Xq87lsU/CO3hGO3Yewalt4z9K3T0VOp4vhBC/Sik7VbYdvog+o6FsfMvUChlrz0NTK+V34k8wp8Hh3ADYf/aeaR4hLBg/awTX3lm2hESJ5Jm1D7o4N1JKjuw7xsGdRzxu9V8woAt3zZtAfI3AdemVAGKLrRYLFw4+z3NfikJy7aSgOTeghzAkpsR7DB9q0rohr2x8ijWW95m/azZxNXxXtwZITAqehn+3fp1o3KaBX20H17oZizlw57eqM+uRa3hgSl8SEqKcHBqpz1ntz4uUzaSTt1MCRyFQxdG+2FvyuAorAEWTKJpE2B+KRdMfNomqKjRsVP0mmlURLfsF5KkhkP8+FH4BhWuAfMBCtXJuAPKrZ9UHU5TRfViopoHNCpoun6gaFHqPvFBXSqsAGrSox4TZozwrn5awOSk1gUeX310BlpUdzbKXinZuiLmpYseLUKXw59N8QghRNEsWQvQHTobOpAjBQlUVRjx0DVGxgfuj5nwLU3s9VOTIHNh+iDFtpjK+4z1M7DqN4U1vY/uPu91e2/Oabiw7Po+zzm3qc5ykWon0G38Zy0/N590Dc7lxxhDa92rNxcMuoMsVHT06PZpNMq7D3SERNAgGDc6sx/IT81ljeZ/lp+Z7zamo3Sg1qGO/+Zt/Ozj5OQX0SxhB+smsoI5fFeh9cRs+f/8O3ps3FlWIUs4NULSjIzQQmiw16ZD2kLISB/XJk6edcQlYJcImUWwSYZFFSjaKCrdOugyj8fQLHXRGSsm2n3bz7YcbOPp3xdeUllKiZUyD3LlUWnXOikYGp15ZOPH3toMU5BaCqupS0I5HEfZlDCmxFlr45JUvGVRrNE+PeJldv+wramWz2fjli9/44NlP+enTTdiswXFuu/fvRFJqIqrB+fPu2DPWvxQUVeGGGYNZeuT18M/LKwy+uJF3ohCJd1XwmBGqEv7Ep4wHlgghXkH/1B0GRoTUqghBpftVnfhm6U8BX3fs7xNclTiC2MQYstNzsVmKv9gL8gqZ1u8p3t4zhxq1Shc6E0JwcKf3XJxr7uzH2KdvKHoelxjLjdOHFD3/e9shflv3h0fFmbzMfN55/CNufiK8i3zFJcZSv3kdjuw95vb84Cn93B4vD8tPzWdgzdE+20lNcl29cXx47A2SavpfsK66UL9eMiOGdmfx0g1YnScummvOjXT+xx7aIgBh0RzbN/o1Nr0mDwZ3qgXFcW9Cc90XSkmJY/rDA2nbrnSxwdOJ39fv4P4rnsZqDysSiqDHgM7c/87EilOPKvwKClaEeJCKlZ73joKIKl0DrKrz61d/gqIUOwaOur+KCjZNX4goOqcgNYk538K6Jd+zftkG6jerw7/7j2EptLgsWKTUrcGrW54hpW75cuWMJiNzfn6CuZMX8OMnmxACul3diXO6teTUv+k079CUCwadh9GNaE5YopatCHLZMCGSX0XPmIhQJmT1l4n2mYNT1FCIeHt79yV4w5DTPQfHQV52HgNSfE92A8UUbWTU40MZfEfpPBibzUbf6OEerzVGGZm1bgatzvOeIPjWA++x9BnPhS/jasSy/ET5xBQqgl2/7OPOix7GYnZVMBv1+FCuv3dAyMa9IuEGrAX+qabdNX88l9/YK2S2hDPf/7iHh578VK+n5Ni5cdNOgn5CkyhOqmpSgLDJ4rA2m0SWUNkThTYEcN3I8xl5Uw82b/qLgnwLHTo2JtlNkcHTja3fbuOe3k/pogwuq9WS8bNuYOBtfSrEDi1tDJi/D0HPCiTNBWMLhO0w0rINct8EmQ+Y8d/hSSZ4oUACTD0RyVVghyBArm14KxknshCOQs0l1dRsrjut0rH7WnzAqU6W899G0rxDE+ZufoasU1kseuQjtv+4i9qNUhkwsS8dL20bwlcVvkgpkf+1JfSy6UZI/RbFUCvE45SNKpODU7+hbFJBOTi7Hw7THBwhRB0hxFvAh1LKbCHEOUKI6ie5Uo2JTYjluW+Ck8TujLnA4rHmzBt3e1fzuuj67j6dG4D+t/b2bkOYhqiV5OwuzVmw6wX639abZm0b07Xfudzw4CCkJtm/9YDf/eRm5vHjp5v45cvfMBf6zp9Zlb2Ymn6qcs0a/RpTes7w25bqRJfOTWnWxPcNU0iJatZQrbI4Twdc56ZSbycKrShmG0qhDTXfiqJJmp9Vl7HjLsJkMtD9/LO4+NLWEecGXZzknssed+PcAAjeffKTijNGhm6CJqI6ohgaIqK6ocSPRdT+GVFrLaLOVkSdnVD7d4gdhedbsxGiLwDKmggv7NcmgdoSkfSsfSW8ejk3AJkns3XnpoRUNNjz5XztCDpf49KHYN9v/3C5cShD6oxlxSur2b/1AD+v2Mz0q59myePVM5/JF0IIqPkxiBLfZ1HXBHeglMVh69xUOWQFPSoJf/b8FwKrAUdFsD3A5FAZFCE0/O+CVrTr6UF/v4z3tpj4aLd92qw2Pp272uu1U1+/xa8xUs9IoWFLz8XoLIVW19CiMKZ2w1Rue2EUl4/oyYaVv7L48Y9ZOGMpE7rcx12XPOIz4f/zeV8xsNZoHhnyHA9eNZOrk0byw/KNXq+RUjLrq4foPaqXXzZu/2kPA2qO8lovorohpWTMhIXs+6sc+R72kLai/xVhn1wBiv17XhW079C4vOZWO9a+s55Hhjzn9T6Ym5VfYfaImP6U3YHwhgbCVVBECBWh1kWIGIRQUZQYlMT7EXW2QvTVuOr5qCDiEAn3QPwEoCwCKhK9dk8m2HYjc+aBdqLMryhcsVltZbuv+RIZEE67QUXbucX/mwssLHliGRknPBddrs4oxhYodbZAzeVQ4w2ovRUl+QlIfgcIgphO0qsopg7l7yfCaYE/Dk6qlPID7NmWUkor1U5C5vTgmbXT6Tf+MoxRut5/jdpJjHpsaJk8bNWgckaLenS5onRtmVljXy2qG+KOVl1boASgVnP7S943DJfNXul3X5XNgW0Hee2uRa4HJfyxficDUkbxzVL3Rcv2bT3AixPmufytNJvGo9fO5tRR9+Eq23/azZC6YxnVajKrF3zrt415WfkMTB3t1w5RdWDTlr857JBrLZKKlmDVEBYNYdXs0s/2HJsSCOxKas6nhHB9GBVQBP0Hh33kQoVy/NBJnh09t7hWkBuklNSsp+9C5ucWcP9Nr3FFh+lc1/MJdv4WmCS7X8QMAGMowoyiEcI/p0SIaH13JWkmGFqDUg9iBiJSP0GodVDiJ0D8VMotaGrbjUwbXe0WNIrEafzcmXK8/oB2shSBUBWEQXUZR1EUtv2wy/9+qiGKsTVKdC8URVcSFaZ2IMqbSxSDUPxTJo3gJ5EdHHKFEDVxrFcI0RU4PZcnqjhCCG5/aQyf5yxmjfl9PjjyOmsXfVemvmxWG/t++5vFj37IqaPprHv3B75fvpHfv9vOusU/eL327rcmuD2en1vA5/O+4vlxr/PR7JVkndLTvWrUSfLa34pX15TpNVQGTwx/0eM5S6GVp254iSeGvVBKqefBq5/2eN2sMa+WOpb+XwZ3X/oo2Wk5ZbIzLyuffvE3su+PEEwgw4xvvy+hBiglikXq6mkSfeHdKsGqOz+ufoxjYl6ssuZpihQTY6RepIinC8vnfAE4/c5sNj2W3/67lPYaJScKbPRudS8Dzn+CLX8exaYoZOSYmXzzQiYMeSmoNglhRKS8DXF3BLVfKEBLv99vZ0IIgYi5EiV1OUrt71CSnkSo+m62lv0S5MxEz90pDxJsh8C6s5z9hBdCCFLq1XA+4HK+VL4NTs6NH7s4QlURilL8MKgIe+FkTUoSImGnrhSss+ealQcLGNsExZwIpwf+uNRTgRXAmUKIH4FawBDvl0SoCpgLLRzee7RcfSx5cjlLnlzud/uGZ9enwVmlQ87SjmVwS4e7yUrLQWoSoQoWP7aMF75/lMbnNCA6LkqX/HTDicOnXKpThzOHPSipOfPdhxvYuXEf5w/ojKZp/PXHQdKOZnhsv/+Pf0od+3L+N1gt5d9ovfXc+7lj7s1cOfbScvcVriQmxBQ/kbpYAJQMPtGdHfu0W6/jKaFNuwb8+dtB/b3nkhdfLFbg6LhxpL5NKY4fPKn/Lh0HjAZITECoKjI7B6xWRIO6yOgoQOp5EyU+53/9fZKtG/fR/rzmQbNLCBXiJyDzloE87OdViv3hRdSjcBny+Hpk6pcoqvcCylLLg4IvQftXn9iZeiCEipQWyH3Z35fiB4VI6wn83FyqMljM9u8/57Ay0BUQ7U60UIR+v3G6TqCLhrh8fh1FQQHsoafO9xshBFJRwGYjPjmO//VoFcJXVvWQtpOU2xmP6oFQ/C86HsE7guqvoubTwZFSbhFC9ARaov9OdkspT4/YlWqOwaiiGBT3lZ5DxCXDLih1TErJhM73knmyWKBP2iR52fk8eu3zzN8+mwc/mMKDV3rYxZCQl51PXGL4b19Lzb9vlOMHTxatbvuiXtPSVe8P7DgUkF3eePHWedQ8I5muV5wbtD7Dicsvac2Hyzdhczg2HhTUwEncV+rv2z9/O+i+oSb10DYndv95hOysfBISY9xfc5qx87cD/L7jOErdOgjVUaNE2CeQAhEbA5qGjDLpE0jVc32g2Y9+ytuf3xlU+4RQIPVd5IkLPTdKWQUyDQzNUNRUNFsunDgf8FJXRp6AE+cha36EMLrmMEotA6QZqWVB2jD0+jRmdMdJRRIHhub4jvuIsb9Z/Vw1z7wTaVqJUOv6174KkJOZ60EFDaQQqAYVqUl9ucKdCIEQ9u9r6XS9RCiqx8U0YVCYte7hgEKwqwtSWsH8E9iOg6kDwuAkG21oWO7+RfyUcvcR4fTC46dQCNFZCFEXivJuzgWeAJ4TQqRUkH0RQoiiKPS+6aIKHbNx64bs33qAk0fSAL2A6NSLHiH9mPuox8N7jvLR7JW06dbSY9FPRVWIjo0Kmc3BJLVB8D86tz4/stSxYEuVzuj/LE+NCG4oULjQrEktbh17MQZVKZ4PeWnvUE9zTHJKTXak7twI57b2Uwte+zqYplcpsjPy+PD1b7iq5d30bTqVqUNeJjfPgjAa9UkjerifsK+oCyF0p8d5J9LDxDI/RGqKQq0LUX3dnzS0RjE1R4nqgqLqxXoVNQ5SluB77dCKzLijKFxNK9yEdvwC5PHzdIfqVD+QGRSvemuABcgAqx+lD5RUiJ8OhnNAaYjvXJ0sZEZwHcTKxmgyFu+klsCu9F66xpp0TRoQitBD0FT9EZ0QQ4MW9TyGGd789A00OvuMIL6KqoG0HkQe74VMn4DMegB58gq0tFuQ0v7ZVZuUc4Q4hPHs8poZoSTVPAfHYx0cIcQW4FIpZZoQ4kLgfWAS0B5oJaUM+zC1SB0c3xTkFXLXJY+yZ/P+Ch9bqALpRYyguCGYoow0b9+EHRv2ljrd+6ae3Pmm+7yecGPNou94YcKbWM3+1abxhylvjKPvqItdjlktVq6tfws5GblBGweg4dn1eOvP2UHtM1xIS8/l5437eeGFL7HZa9a4xx66oul5Oii4rhRbNF0muvRVJCRE8/Hae0LzAsIAKSWaJtn35yG2b/6LT+av58TRDNdQH9CLLSpCr0XiDicZXwkQY9LDhtyEqCElt0ztw6Dh3ULwikDa/kWeHGTfTSkATCCMiJQlpXZgdHMk8uTVYNtd6pwr0YjUlUjrYcgYRdBnAtGjEEn3IYRAy3wS8hf6uMCIqP0jQqnho13V4IGBs9i85g+P54vmPiXq4SDdvyeN0UbufmsCzdo1YUKn+0qFACckx7H08GsVV5A2jNCOXwHavtInlCaQ9DykX4vX0E1fJM5GiS1dby8cqSp1cGLqN5RNxlRMHZxdj4dfHRxVSplm//k64A0p5TIp5XQgeMHOESqV6NgoXv75CUY+EmStej/wy7kBkLr85v4/DtK2ZysUVUE1qqgGlV7Xdef2V8aG1tAgctmNFzL03v66kl2QeOPuxaWOGYwGFuyaTZP/NQraOACHdh3l2gbjgtpnuJCSHMeVfdoy+Y7euvONuymn/Yi0OzdFh+0rxVb3K8agrxrnZBcE3e7KprDAwvSbXqdvkylc0XQq/ZpNZfKAF3jz8RWc+DfD9Zfo+N34nASW+B06CjM692H/WQjBwGFdy/syPCLU+ohaqyH+doi6HOLGIlK/dOvcgF0coObbfvUtpYTMOwnJMmfBAuTxjmjmX0HzRxdIAem6EyYtu9CyX0LLnou0/hV8G0NIYZ7Zq4qacNRccn4viqJ/SlG/WR0uGNiFRi3rc/87E4lNjCE6LoqoWBNnNK/LC+sfOS2dG2k74t65AdAOQPogyuXcIKqMc1OlkPZw7Ap4VBbeZlmqEMJgD0+7BHCe1QRvdhYhLBg+bTBX39qH286bxrG//qtsc9xSmFfIkb3H+PjEWxz96zi1GqSQWLNqJR0KIRgx4xqGTOnHS5Pms/6jn7EUlm83JzczD03TSsV9J9VM5I0tz5CfW8Dm1Vv54PmV7N7oeiNSVAXNphEVY8JitpYO2XBDxn9ZzBj4DI8ur547EVf0acunn25h775jJQTxZakva4F9wdcR84KP8htS8vG7PzPw+q4hE8WwWW38+v0e0o5ncXb7RjRpWQ9zoYXCAgsJSbFYzFYMRs95BL6QUvLjl3+w5/eDtDu/BbPveo9T/2UVN1DVUgpVLgjH+9T3+A4VNQn6ZLXQCgZFn5RKSe06iSxadWfIBUaEkoSIvzmA9ilI0cC7QIFaF0SMPRQtRMhcSLsRDH4kvav1QamBLFgHWibS8gfkf4weGieQua8iE+5EibspdPYGEaEEIvmsoAi9tltuZp6LOAiAMdrEnJ8ex2DUpz4XDOjCeVd0ZP/WA0THRdH4nAZVQuQmJISwMK6O59y7CBG84c1ReQ/4TghxEsgHvgcQQjQnIhNdLUmoEcei3S+y//d/2P7jLr6Y/zX7fy+t0KUaVKLjo9BsGppVo7DAjGpQsQVBtcsXWadyiE2I4cx2jUM+ViiJTYjhzjdvwRRtZPXCb7zWDSovMXHR9BjUlR6DuvLv/mP88MkmkJLOfdqzd8vf7N60jzNa1KPnkK6MbHkH5gLfGiIbVm7h4O4jNGpZ/eLNhRD06tGSfXuO6XvcDtEBT9FU4BprrCh6cjwlpvD2Nq899yULXv6KFxbczJkt6wXV9n/2HuOeoXPJzzVjs+qSy6rRoIdElpx/CcFZbRsy+clraHp2PWw2jU3f7GDjuu1YLRpdLmpF18vaYDTptwlN0/hj4z6mDX+tSCzjw9e+toeTBTAJ0WzoRSu9tFEUu3MjkLEmpCIQVhst2jZgyoz+nHm25+K/YUPiXZB5D27Vo0QiosYcUGIpHcwYbKz296aC+zexCiIK4m5F/tcdPQzPRulyd1bIfg4ZfXmRXHU402fkhezcuA9LoYWielRucnL0XC/oekUHxj93A8/d/Abbf96D1WxFUVWMJgNPfHYvMXGuxV+NJgNnd4kEs5Q/v8ZX/w1C2//pTDVXUfOYgwM4at7UA9ZIKXPtx84C4qWUWyrGxLITycEpH1JK3p/5Ce8/s4KC3AJiEqLpdW13Bk26ggYt67Hjpz1knsrmnG5nAXBdg1tC/oFp3b0ls797JLSDVDCZp7JY/Ogyvnz7Gwpzy5YsPXP1A3S4+H/ltmXjqi3MGPisX2pvQhGsLnyv3GOGIydPZjP02pdd386O70rn/Buc5unOvzOniZRDcVY42mgaQoLBqLDipwdRA3EOvLBp/W5mjJ7naoczJVe07TK4ilHhvheGM+f+D8jJzNctFsVtap2RTFJyHPu2/1ticihda4Y4JpBCgNXHrqTBWGyPzebyvaHn2qhoJhWijC5hRom14vmwAnZsgoWW/zlkzwLtCBAPhq6IuEshqjdC0Su7a+kToHBdaA1RmurhQqW+oGMhdijE3gQn+wJ+5OwZuyBqPItQg+ucBxtN07ir95Ns37Cv+D1kc78Id0H/Tlw17hLa9TwHKSW/fb2d37/bQXLtRC4aej41aiVWoOVVD+1YK0JW/73GApTo80PTdwioMjk49RrKpqMrJgdn55OVk4Pj1cGp6kQcnIrh+483MnfKQk45qsEHE7sur1AEpmgTz66dXm1XzTRN49c1vzPr5tdIP56JQFC3WW2O7vcdMjjh+ZEMnORB7SkAvn7vB2bf8gaFfqpS3bdoEhdfX3VuPoGw/ONNvPzyV8UH7JN3o6KHR3U570x+3fAXZodghEvdG1ydHMfCudVWtCPk2OG5cfxF3HBLL44dSSczPZcmzesQFR1YUZJTx7O4oceTYPHiWLgL2Sly2jS7Z4GrYIKjvo90eu6tPwc2m8dcpKI+VLXYQZJSv0bTsJmMkBhbOn9C0xAGhY/W3lPlpLa91emSWiby5FDQQin0YsB9HoQBUCG6LxR8EkB/KtSYgxJ9WXDMCxHLXv6SN6Yt1WXGPTndThLQsXHRzPhgMh0uihSUDAQtdzlk3xv8jpXaKLW9Fw4PN6qUgzOqghycpyrHwYnk0kQoFxtXbeGZm17xe0LsL0IVdLq8HaqicHDXEZp3aMrwaYNoGuSk+XBCURQ69+nA0sOvk5uZhzHayNG//mNs27u8XmeMMtAwSCE7n7yyOqC/5fwH36u2Ds7AQZ1p264Rb775LUeOpHPOOfUZMqQL0VFGaqbGExsbxc7tR5h62yI3RVWLZMOKd1SkRlHJDWFPvpTwzmvf8OXHmzh5NJMihTYgKtrI+Redw5VDz6N+oxR2/HaQhKQY2nRqUirf6vFJiym9Ou8nmnRyZhxODq5hPY7nJdXQPGEP0yvl5AiF2mckk1I3kW6Xtab3dV25/tzpLoIjwqAinW1x6lNKiI7xJXkcfnjbcRJKEqL2F2jp90BhIE5GIHhyfK36o+DTAPuzQcZEZPI8RFSPctoWGqSUfPr6Ot25KfU+dCrcWfSzIC87n2n9ZvL4J3dz7mXBldqvzihxA/Xgx+xpBG8nJwZRc1mQ+opwOhJxcCKUiwXT3y+Xc5NcJwmbTUM1KMQmxKKogjqNanHluEvpfnWnKhOKEmzikvSipY1bNSCxZjxZp3LcthOKoG6T2nS8pPzhaQB5mV4KFLohP6f6qYI5c+aZdXj66es8nm/V+gyGDO3KsqUb9MrpRZVA7R6MVrw6jE3qQlXoE169mR7qduI/vcitcAoPKyyw8PUXv/P1qj9AakUCB6pBYeL0/vS5pjMABflmdv1xyLfT4RGJRJT+rLmpAF98zkeXjrwcu9hAu+7NmfbyCBJrxLk0y88rLKWmKL0oUdVtkIzRWD2TjpXkZ5DWiciMe8Ba0RHgZXGOJTJzBtT6Oiy/pz+b9zXH/znpetBRW8kZm83F4dFsGs+Pf5PF++aE5esKV3QnJwuynyhvTyBSoNYXCCUpKLZFCH+EEH2AF9FVJeZJKd1WdhdCDAE+BDpLKb2GaEUcnAhlxmK2cmCHF5UgHxiMKvN3zCYuMTaIVlU/Xv/tWcZ3upfM41kuxw1GlfMHdmHSnNFBq5x9waAufDDrM7/r9HS+vF1Qxq3KjBl/ERf2Ops7xi/EYrE5Tf4FGARxsSby0vOKJGhd/QaBVEBY3SR/OydFy+KQNptV48WHlvPSYysQiuDMlnWLVMaEqrrPM/ASnqb3G4Dz4gunlfEWbRsx/dWR1KrnvraKpdC3oIUzrdpUP1ELZ4ShEdR8D5k7D3JeBXIAI7qSWRiiHdVV4ERyZVtSinkPvl+0CylA3xXE9e3tELIoes/av0dPHkkjOyOXxOT4ijU6zJFaDhSsAu0kGM8FU5ciJ1BquZA9s5wjxELcjYi4cQilaimkVkUqU8LZGSxpSscAACAASURBVCGECrwCXAYcBjYJIVZIKXeUaJcA3A5s9KffiIMToUyYCy2M73gPmruJmR8IRdD7pl4R58YPatZL5sMjb/DPzsP8u+8YbXq0It6+wxPsFcYhU/rx7dKfOHbghE/JaNWgcuuLNwV1/KqGzabxyUebWLH8VwxGFU2T2Jx+byqQl5anOxhSut9kEXr6i9ubjbCfcHPOZtUdmd3bjhTtskiDom8eaVqxR+QI93KSbi7qTggwqEiLtXjiV0r+LUCEYNjES7l2/MU+c4kSasRhMKouIX5KoRktyuRG9Q26XnBWOQyrGgghEPFjkXE3A1ZkziuQO7eyzfKAhkx/BFJmh91uh7nA5hJ2KdzkhLmEr7nklym8ed973Pl61amxFmqkZRsybYS9VpIZMIGpIyTPQwgTWHfgUWrSLwTU3oiiRAXH4AhViS7APinlXwBCiPeB/sCOEu0eA54BvMft2zn9qlJFCAqr5q3j8J6jZb7+ynGXcNuLo4JoUfWncasGdLuqEwk14oqL1AWZ+BpxvPrrTCY8P5ImbRoSlxRLUmoCV4y9hF5Du2OMMqIaVNpe2IpFe+eQmHL6rrJJKXn0wWW89do3HDmcTl6+BU2TKIogOsZIYnwUMs9p5d3b38vTDpwvERhHl46JnGIPwVFVMNiT+B3jOn4W+mq2NOnnhVAQRqMfTo1TAy9Kbfe9eAM3Tu7tl1CCEIJ7XrjB5Zg0W6HQXOq1m6KN9LjYfXHN6ohwJGvlLapsU7xjWYXMerJ0nkslYrNprjllHvBosxCsWfJDWL2mykSzZSHTRoHMoVj23AzmDcjsV/Snwv0ubTE+1tOjrow4NxWNrKAHpAohNjs9SlYLPwM45PT8sP1YEUKIDkBDKeVKf19eZAcnQpn47NU1PtsYjCqd+7bn17V/6lEAmkRRFB5cOpkufTpUgJURykJMXDT9b+1N/1t7V7YpYcuO7Ud45KFlnPovW5/32/0TTYJBEVw7vDuLXy4h/WtfLXYJkSn6wX68pFKZSyOnQ/bwttIIfdvIWjKButgGHM6xTSIUpbgbm72tprmfGCqieEwpqV0vgbRTeVgtGkaTyuXXdGb0XVcSGx/YJKXHle2Ze2ZtXnvoY/7Ze4yGzevQpufZLF2yEat9N6xOvSSenTsCg6F65t+URFp2IPM+ApkGMr+yzfFN/ttI8zeQ/BrCUPkql25DH53f086fCbsqYqlzUjLn9oXc8dLpvRCnZT4F+Qs8N8h7DRKnIIwtkEpt0I65b6e0BG0XHkUIrH+U29YIYctJHypq7m5mToEGQgFmAzcFMmjEwYlQJgryvFcvrtMolYV75qCqCvm5BWz9ZjuKImh/URuiqqAKUoQIDtLScrj7zncpyDPbFdFcXRarJvnovQ3FuxyadMmBKeWvCD1PJz/bLtjgPNlyivhw9ODIt/GWFy6FU3tnJ8YhiCYlqIqr7apSupaPB3pf05lJjw9B9SIIEAhNz67PzKUTXY6NvO0yMjPyUBRR5WShy4OW+zZkPwcUUmZlPLfUBE4Fsb8S2A7pIUy11iNE5U4tomPdONklHBwXsQ8np8Z513PVwu/Iy8nn/gW3htrksEOzHoKTA4BsHy0lmvkPFFNbRM0PkCcuwq0To20H9Syw7XHfjVKrnBZHCIji3ZVw4DDQ0Ol5A+Bfp+cJQBvgW3vkSl1ghRDiam9CA5EQtQhl4sy2jb2eT66XXDT5iYmLplu/cznvio4R5yZClWfZR5vIK7AUh3rZc2gkxc/z8szFZWUAHHk5bpTKVFWw6IupJKbE2a8XxTcfAah66FnR/chpI8Uj9n6kYg9bcwphK3KQ3FxTFOLmCHOz/6yq+ir3Oe0b8ernU5j81LVknsxi8VOf8NGcL3wueJSVpBqxp5VzI7U0vTAoBQR39pEIKXNAhDJpXoKWA+afQjiG/9RumOoqBe38nnfsYjrvcEqpv+ft5xznv122if1//FPxL6CyOTUQ386Nnbz3ARBqXTB6Waj35NwQg4grGbUU4TRiE9BCCNFUCGEChgIrHCellJlSylQpZRMpZRNgA+DVuYHIDk6EMjLi4WvZ8LlnKdOsk1kez0XwjJSSNe98x7LZn6OoCsOmDaLHwGKlmgiVz5qvtuv+hVJiF0VQ5JRoAhSDAhbNvmMC0urIC8BlR8dmk6xesZXWnZrw01c79D7UEn9vVSCF5vo+8CA+UHzesY1TIihOEfpOjaf3lNPOTcPmtXn41ZHUb5zq0uSlKW+z8s2vi57Pe+B9Jr88mj4je3oxKIJPCn+ifInansiCtOEh6LckBcjcDxFRF1bAWN55duXdjGx7j2dn3oGiFEtF4yrc4hAhWPjIMh5bVjFFEcMBrXATyADu4ZbfkeYtSC0PLL8EOJoCcWMQ0RcFeF2E8hIuKmpSSqsQYiKwGj3Ier6UcrsQ4lFgs5Ryhfce3BNxcCKUiebtm3g9/+/+/yrGkGrCod3/svHzLSx69CMKcotryzx+3WyatGnIa7/ODJoUdITycTI9B6GAdGzKOJ/U9WhBSGSUvXq8xXnCKkuvJkvJGy+uJSUlVg8Tk7JUbRigWIigaFW6uMsiVPv4mgSrrTinR1Wdcmjs4Tlu8n2KhNcUwbNLxtP63CalzNj81Z8uzo3DpNm3zef8q88lISKtW2ak7QSBSUIL7ElXoTGIBPxexXdgXo1mOYRibOi7bQip0ziVi4eez9cfbtAPeAi5FEW7pp5nezkB1ger8tj2B9h+LzJtaBkH06BgOTL+NnS14AinI1LKVcCqEsdmeGjby58+IzOmCGVm0OQrvZ5/8dZ5FWRJMQe2H2LxUx+zftkGNC0UK6HB5ejfx5nYbRpj2kzljXsXuzg3Dg5sO8TX7/1YCdZFKElOrh6KJe31a9xSJM0M0mRAi1KQJvsjyoA0qUhVFIWwOZyMtLRc/bmigFHVH87qaE5hcEXXOQQOHA9HI7tzUyRcYLUCmtfQNkfomlQFdRrVdOvcALzzxHKPfbz/nN8CNxFKIGU+5L4Y2EVRlyJqb4Loq8owoj+7wmX8Ds2YULbrgszF15zn+aTz58/L4pEAul91blDtCntM51fseFoGmL+v2DEjVKSKWqUQcXAilJlRj17r9fznb37FezM9T4aCidVq5dozxjGu/d0smvEBjw99gT7Rw9jyVfgqs2xctYUxbaawZ/NfPtu+/fAHFWBRBJ9IqYewKJ6390sdNhqQRhVpUIvzYRRhDztzvdCRNyMdOTcGBQyKvb39Z4Pi4hxJAFVBMRr0iZq9pk1RE8fPjiKk9vA4jRL3IIHutKkKZzSu6fFXkJPheTU761SOx3MRfFDwBUh/d28MkLISJfkVhBKHiBsFRAc4oIK+++ON3AD7tGM7ULbrgkzHi88hMcVpR1HYP0eqI89MKco7e+SjKZiijK7S0FISkxDDgAmXVbzxlYhiaAhq64obUFrBdqTixotwWhBxcCKUmaiYKGITvN9UFzy4FIs5VOETxdx09mQyjpeIGZZwX98nycsOP5lVq8XKzJGvYDV7kMwsQaAV3yOEhvj4aOrXSypyEjyugRdVRgfdc3HT1uHoOD93ODOK/WdVKRYFcH4YVLu4gYAoIxKhqzwbFM81amTxf1JVwGR3vEwG/WE0gMGAVBSuHec5Hv7CgZ09nuszovJzL6oq0noQv8LTRBOotQHFVFz0VBjbQOIDBBZ17o9aRVnxVROlYlAUhac/vVN/4nBuSiIEQhHkZOTx9rZnadfj7CKRgfa9zmHer09iNFXPaH5pO4WW+y5a9hy0nDfQsmYi8z9GK/wZbPtKXxB9EyGZNgoFDKdPjatwQciKeVQW1fNTG6HCuOXZEcwe/4bXNhs+20SPwd1CZsO2n3Zz/J+THs/Pf/B9JoZZUdF5094lJ8P/1dGrbrk8hNZUHFJK/vr9H7LSsjmr05nEJcZitVj5/bsd5GcX0LZniRXXMOTxRwczauxb9tAyL4n+DudFA4+NBMXOkFoiNwf7dQ7xglL9K0VSz9KgTzqEI2zNk01CFJ92VwhRSoQivE7oht/fn8/eXEd2uuv7t1WX5rTudpaHq8ILKW1Q+A2y8EfQVLD+Btp/YPwfIv4WhKl9hdskjGcjRSxIL/kepstRUl52e0qJvQ4ZfSUy/U6wfOPHiDWAtDLZ6pOEO0LTbxlo1roBnS9vw6avdrjm2Tje+/ZjVquNlDpJPPP5vUW7ONVZ3EXLfReyH6Hkl4XX+ah5lbezZUdtCcaK/8xFqN6ElYMjhHgWuAq9VO5+YJSUMkMI0QTYCey2N90gpRxfKUZGcKHvmIuZN20J2WmeJ+vpJXdWgsy9vR/3ev6XL7ZAGDk4o1pP4cieowFdc1UVDJGw2TQO7TpCXnY+23/azakjafy4YjOZJ7JQVAWbxUa/8ZexdtF6rGYrCLCarYx5chgDJ/WtbPM90qRxLXpf1obVX/4JCITTlMDxU69LW/P7lgNkpJczOdmxy1NSdKBIIa3YWSnSHIgyQoGldEFRg9PKq6d5mxCoiiDfi+yzwWhg8Z7ZzJv2Pus/2YzRZKD/+Eu5ZvIVgbyySkNKMzJtJFh2ACV2d83rkGnrkIlPocQOrljDoi4BpTbYDuNeNEBFJN7ntQuhxEONx5AnLvA9nqEZWD0vDJWL6D6h6beMjJ4xmE3rdhR/QFVD8QKElGCzsXvL3/S5oQdQfR0bqaXp4WAy161z4xPtOBCFXqMpiMTfVm1/52FNmKiohYqwcnCAtcD9dsm4mcD9wL32c/ullBEXPwy5d+FEHrx6psfzva4LXcLi9AHPYCnwHtZh9nG+Itn67baAnRtFESyYvpQ7Xrk5RFaVj5P/pjFn4lts+34XCclxDJ5yJSePprN05qdIT+FSdpbN/rzUsXn3LeGcrmfRsvOZoTK53Nw2/lJ+3LCP3Ix8ZAlvYczNPRk+rDuTJizUHRwhkMJNmJqUYJNIAaoivKRze9iSUYp3YFz6jTKCJpHOoaGqAgY930ICUlHcq0RLCUKhVTvvCljRMVFMnD2SibNHem0XbkgtG5nxIFh+w2sCfdb9aBgQMVdX2MRLCCPUXIrMfg7yV6DXwgH9Nq1CwgMIQwPfHSkJentPFeP10cAWIucGEIqbQpuVSOOz6yMUBalpoKoIZ1EBIZCKwpeLf+KO50dUnpEhRNqOIDOmgmW7/YiJss9uzUGyyonI7k2EEBBWOThSyjVSSsddeQN6NdMIYU7jczz/mQxGNWQhR9kZOWz0UovHQaOzzwjJ+GVh7uS3A75G0yTrP/w5BNaUn7//PMgNzSay4bNfycnI5ejfx3n59gW8/9QnPp0bT1jMVh6+5rkgWxpcEhKiWfbeRG4ccQEx8VEIVZBaO4Fnnh3K8GHdARh2w/koikBTwBZnQDMpLkn9GpL6DVN4+qUbWbJyClHRxtIDSQkl1AANBpXadZMYN7k3MbF64VyX37QQyNgotMRYbAnRyFiTnmMjnIQLVKE7ZiUSqhGCW+7qQ4y7SvBVCM12Au3UjWjHWqMda4OWNgYt8xHk8fPA/AV+qYNl3Y083h2tsOLUnYSSjJL0OErdPxC1vkckPoxIfABR6yuUOP9keIWIgegBPloZQfoWN3FBbQ7x9+NbmMCIXqsvfFAUhYsGd3Y8KZXTJgBUlf8OnqpMM0OClFbkqWFg+R3dOTED5REDCfKyv9oGRU0Kbp8RfFNRCmqRHBy3jAaWOj1vKoT4DcgCHpRSur3rCCHGAeMAGjVqFHIjI8Bv3273eM5q8S+Jviw8du1sv9pdMfaSkNkQKKqhbGsKIoxq4Egp+XXtH6xZ9B0/fboJzRZ8Oe5TR9J4aPCzPLLs7qD3HSxMJgOjRvZg1Mgebs93O78F53Zpys+//wNCoEUraFGOnB2JsEimTOtH+45NALh7Rn+eeeRTzI6dFymLbhAGg0JsXBRJyXH06t2Ggdd3xRRlZM3KrRw4cBJZ4m+gK6sJUAz24ex9OTYjrBqmGAOWfGvRFTFxUdz7xCC69WoVvF9SBSOlRBZ8DZm34nJnLasErTwF6WPQjD0QKa/puywVhFDrQOywsl2c+AAUfILnXZxkIIBaZSIVkfoJaNnInFle+gXiwjN6fOqcEXyzbJP7+ZZ9ly4vJ/wEacqN+Qf0op2VVDYhZRXIHLCdgLz5YP3VfkKAoQ0iJfBFvwgR/KHCHRwhxFdAXTenHpBSfmpv8wB6EPIS+7mjQCMp5SkhxLnAJ0KI1lKWLrUrpXwDeAOgU6dO1TzCMDzY+5v3omADa43m6S+m0bJT86CNmXkyi63feHasHCiqQo9BXQPqe/emfcyZ+BbHD52k4yVtuGPuOGITYspqqguTXx3LpO4PBnzd/y44Oyjj+0NBXiGPXTebzWt+R2oSQ5SB/13QClOUgV2b9pObmYdm1UJeZ+jnFb8y774l3Px0RVRgDw3n92qlOzgOnEQApApnnV2v6NSFF5/DmS3q8sVnv7Fv11FUg0qHc5vSt38H4uLd76jMfms0i9/8lg/f2+iqniZAKqJoV8Y5ZwcpSUqN475HBvP9uh0YjSoX9fkf57St3MKM5UWz7IG04SAzg9+55Xvk8Ysg8W6IrriwtbIiCtYgvTkhpi5g/sy/zkwXIpIe03dl1JrI+KmQ8xxu84TUZoj4iWWyOdQYDAaS6yeT/p/nnNCGLep5PFdVkdZDAciPBx+hRCMM9nt/7GVILR2s+0Cp51/IZYQIZaTCHRwp5aXezgshRgL9gEukXcpESlmIPatNSvmrEGI/cBawOcTmRvCDnT/t9Xo+NyOPSd0eZOHuF6nfrE5Qxpze/xm/2sUmxqC6kwb1wOInPmaRU82Zb97/mW/e/5l522bRqGX5v4xbdm5Oq64t2LnB+++sJL+v386GVVuITYihdbezUA2hqfhcWGBmcO0xWAqLJy/WQiu/rfszJOP54oPnPmPHxr0MmzaQTpe1qxQbyoP0VB3d7nBoJcL4zmiYws23+r/jGBsXxbjJvbng0tbMuHsp2Vn5SAkJiTHcflcflr23gV3bj7iEoimq4OmXR3Bmi7qc2zV885wCQWqZcGoQIckPKBrkODJzBlj3IxKmhm6cICAL13k5KyB+LKT54+AoiNjhCLV44q/Ej0GazkXmvQPmP4F8UGpB3AhEmDt/836YweAWd5U+ISVnNKuFwRia79XKQGqZyLQxYA1iLTjRFOTfAVxgoKT0uVCSweRZaj5CxRBKkfhwIaxC1IQQfdBFBXpKWayVKYSoBaRJKW1CiGZACyDAAOIIocLsZ42W6VfP5K1tz5d7vKN//8euX9xo9LshkPwfi9nq4tw4M77jvazKXeL2XKC8+P1jbPpyKy9Neov8nAKy0nJ85qvkpOcxw+7UCUVwfv/O3DH3ZpJSE4NiE+iT8bHt7nJxbsKBbT/s4oErn6JV17N46otpxMQFWtCw8ujQvrEb6WdASqKMKvHxwXkt57RpwIerpnL4YBqqKqh3RjJCCHpe2pqfvtvFO2+tJy+3kG4XnsUNo3sS76N+VVVD5n1ASJ2bIvIhdwGaiIf8r/T6HdF9ELHXIJS4ChjfFWndB9a9oDZBGJ1CC5VaeBSnELXB/C1gxHfdHQ2Z9TBE9XJxXISpfaVIaZeX2LhoBtzci0/mfety3Bhl4NWvp1WOUSFAK/gVMoYR3AQIAySMg+yndBU2ryIWdpRUUJsE0YYIEfwnrBwc4GV0DcK19i9Thxz0hcCjQggr+qdqvJQyRAL+EQKlzfmtOLjDdxXiQ7v/Dcp4Hz630u+25w/o4nfb9R9t8HjOarZxcOdhGrUKzpZ65z7tWbT3JQrzzQyuMwZzvv8hBFKT/LD8F35Y/gvDHxjIyIevC4pNO37ew7G/jgelr2AjpW7fNfXG8dqWZ2jQ3F2Ua/jRoH4yF/VoyTfrd7nW3ZAw7f6rgjqWEIKGjWuWOt6959l071lxIY6VQsF3FThYIeTMKn6aswWZ8yQyZjhK0kMVYoGUZmT6rWD+BT3pvxApUiDhLlCbgaEl7lbP9YvTISeAhSbtBMgMEMnBMb6SueXRIVx9cy9ef2gZGSeyufSa87hyxAVhvfMUCFru25D9RAh6tkLWw1DjOTBvhMKfwbYfz05UNKLG7Grze62WVPMkjvDJXAaklM2llA2llO3tj/H248uklK2llO2klB2llH4GD0eoCMY8eb3fX2L7tx4o11j5OfmsW+J/wvCerX/5nStitXpfkXpm9Kt+j+svUTEmOl1e9pXQJU8sD4rjuO7d73nAi9R3uGDONzO61WQeH/YC+bkFvi8IA2bcfzX3Tr2ClORYTAaVpo1SeevVUfS8oGVlm1Z90E6Us4MoitXByhimlL8E7b/zkbbQLxLI7Bf0SSYFQC5gBXkcsu6B9CGQ/RDFzo0R3dlxKJsFutNlRWrhI7UfDOo1SuXhBbfwwsq76DeyR7WZhEstR99hCRT1HD8bFkLWbETsSETN9yBhBvpnpwQiGVLXIUznBm5LhAhBIqwcnAhVk4QacTyz9kFi/Ah7+XTu6nKNNbHbA+Tn+D+x/X3ddgakjKIw3/dNPbW+9xXKPZv3k/5fht9j+0vtRqVX3QPh1anlU6H5cuG3PDNqLnmZZStKGRVrov6Zwcmt8pf1H25gcO0x/LPL985hZSOEoO/l/+Pjdyey5rM7WfDG/9k77/imqjaOf8+9Gd100JYhWxFERQQVBAQX4kAZ8rpwCyKioIiKCxX3QEUUEEERBwqCigoiiggiSxCQIXvLbCmdaZJ73j+StGmbpNlt4X79XNvmnnvOSUhyz3Oe5/k9d9OsaUZVT+vEQg319bRDylRExmpE5gZIXwzmIDxs8jDycCe0ow+i5X+NzBuLtPyGlGFWkyycjv/FFq1gupSQQviOv1F5G50qRxYvIyi1NPsG/9tq25BHrkAe6gBFvzkEK0QsYAQRD6IWInUqiiE98HnoRBUho3NUFbqBoxMWWndpxbdZH/P2oudRFO+7YYf3Bl9n4NjhHPZsCtxbUZRvYczgSZW2O7o/u9Ksux8n/xrw+JVRr2kmptjg60asnLeGMYM/JOeId3Ugb+Tl5DO6//iga9ZcfOOFfLX/A95c8CwNzzgFJQBBh1CxFdu5/7zH2blhL7s27MVmrV65QzpRJPHxEDuwwfEXEEo8QggUNcMRlhUs1rmQOwKZNwaZfT/yaB+klh/iHN2QAXovi0PbWKJ4DpoW3AaIThSJWv0hO2AD60Kw7UWkfIJIfASRNAqRsQhhbB6leejoeEc3cHSCQkrJgq+WMOySZ3ms+wus/vUfAM5o35wXvx/h1VAweipm6CcLvvwjhGsXs3D6n3z99g9s+HNzBXWr41l5TH1+eqUxqYu+Xh70HLxxyc2dQ1bv+X7CfO4+6yG/w7a2rtlJr9p30bv23UGP2XdYD0ZMfZDY+BjiEmPp90Rv76phfpCQEs8lN3dCCaBWUHGRlYHnPsr97Z+gR9Lt3HPWMGa9O6fGhK/phAfF1ApIDK0T+wak+yLe+ndo/ZV2BLaNyLz3wtQfYLqQ6GogWeDQOWgHmjsKqOa8iFZUPYsPn2xI679oue+jHekD2Q9EfwLaDqQ9GxF/JyL2GoQ4sQRMTmj0Qp86OmWRUvJAhyfY/FepXOTqX/7h4hs7MmLqA7S9/GzS6qVwdF92hWuXzv6L3f/uo+Hp9QMed8OfgUkru2Oz2Bk9YALWYhsGo8oZHU5n1LePYjQ5PgJTnv2Ko/9VvmObfbDicwqEX79YzIdPfMGxQ8dIrZPCgFf7cdH17Xnz12d5ts/rHNx1JOi+jx/J58dJ8+nz4DU+261f8i8PdQktGdpoNnLXCzeiaRofjvic797/ieKiwOL0hSKo16wObS8/i2sHXsEpp9dFURQSk+MDCmXU7BrFzhDE3Zv2Me7hKYx7eArd77yYhyYMOGHi66srUkrG/7yECQtWomka5zdtwPt39cRkjO7tRWQsRB66gMqVwXxQ9CPEXe/4XUkFe25Y5gbSEVaW9GhYehNJTyKPrCC0ivRBYl3mOAqnoGGE1OkoJn9zOHTChZQSefwZKPwG/8MVI0TeuxDbtWrnoKNTDhHKjmt1p127dnLlSr1UTrj5cdKvvD3wA4/nxv31Ks3ObsQ1Sbf6VAabuOZ1Gp3hf2HB7et2M/Dc8CwOwJHcf9uzfen7sCPOvm+9AeQcrjzEq2nrRoxfGVgyvpSS+Z/9zgfDp5JzpOyCRFEEg8fcxTX3Xo7dZufGhvf5NQ9vKAbB5PVvUa+pZ5UxTdO4Ov5W7JUIKlRGSmYtVIPKkX3BiRkaTQZGfPYgnTyo3BUXFTPo/BHs3hie/BpzrImmrRvR56Fr6NTzPBRFd1yHk3ZPvUth+fBADYQNYlSFmzudw9BrL/IZuhouNNthOHIRfknYeiLuNpQkRyFe7chNblXXw4EJpc4/YetNalnIo3cFlj8REQQic52jEKhO1NAKvofjjxBUzk24URqgZPiqvXTyIIT4S0rZrqrnURlxmQ3kaTdEp57X2ncfrpLXRL/T6wTMpy9M93pu+puzObTnCJXZza/cPtbv8aSUPNZtlN/t/cFSWMzcyQtK/va3GGi327r4PF9UYOGbsXO5s+VQrk66lW7GG7nCdBOv3zmugnEDjkKPEx//DLtdQzWovDH/GdIbppVZDArhCN/yB80mueP0oaxbtLHCueNZeTzQ4amQjRuA7IM5QRs3BpPKoLfv8GjcAJhiTLy37GWanNkgLFE4lsJiNi7dwgs3vEXv2ndzaE/wXjKdsrzx3cKKxg2AAlKBIjQmL1pF//dmRHwuUmqQ8xghLfiKFjnCr449GWbjBhC1w9udkoqS/g3EB7pIEaA0I2i1uApIZPbQkMJTdQJDK/gBjj9MtTBuwCE0oKNTzdBD1HQCJstHKNfhvUe5t82jWCsJV9q+drff421euZ2cI5WHitSun0rOkVw0u1ayiE9vkMqxQ7lYhudu1QAAIABJREFUPRQjdV/oX35bF2aO+dHnvM2xJq4bdAUA/20/yLI5f7Pyp9VsWr6V3GP5SHtwN/iiAgvHjxwnJTOZRmecwqdbx7Jl1Q4O7DhIbGIsTc9uRFrdFG445V6yD+b41ecjlz3PF7vGkVonGYBVv6zliWteQbNV7Q3xzM6n89pPT2OoJHxp/9YDJCQ7Er7DuXAqyC1k+OWjeOmHERw/epy87EJad22JyazvPgdKflExH/2xynsDxVHyRwhYtmMv+7OOUy81fIVpyyPzPgbrYi9n4yG2N9i2gtVH7oi2AwoDqdQeAHF9ItKtkjgQEgei5X0Eea9RqfdKaQTa3srbBULxfOTRGyBtCkLEhq9fnTJILQd59PZq4LVzR4GEh6p6EjqBUsUKZ9FAN3B0AkJKieZjIW8pKKbgeGHlHQWwM//mveP9aheXFMdF17fnhw9/KTFeDu/x7GUwxRi59JbOJX/f8mRv1v6+gR3rdpdcay22lSTIxSbG0OHatvSt35+8rPCqCQkhSEhJKPN387ZNad62aZl2p53bhOVz/Et8lprkxgYDSaufQq30JLb/vcvPycAlN3eibuMMPntxpt/PwWNXAkyxJlIyatG8XVPufulm6japXE760O4jDO3yDIW55YQCBCU5UwNe7cem5Vv55XNvC1rv/LftIHe2GFrmsQ7XtuW5r4cH3NfJitVup9vrk5D4+CgLtxuoAr+u20q/LudGblL573o/V2s0SuzFaEfDUxQ3cAQYmiGljFhOmIj7HzJ/jLPKvA+0nREZH9taZN57iMRHItO/DvLwlSCrkwc6HlK/QDHosvc61Q/dwNEJGF+76ns27fNrx13aJU/3fJVR3zzms93sCT+xc90ev+a1e+Nedm/c6/W8oipodo3YhBjqn1qH6x8uTcaPiTPz9u/Ps27RRrb9vZO0+qn8Nu0PFn+zAoDC3CJ+/Sx4FTdfdL3hwpKFuy/8qeVTnqP7sj2KPXgipU4tpu0ejxCCpT/8hWpUsVuD2OUVDm9a7wevoufg7pV6awCO7HcYorXrpTJzzI8U5VdMmlUUhVue7MNV91xKcnoSiWmLgzJwPPHnd38x+elp3DXqxrD0dyKz++gxpq9Yx7H8It/7FM63jhCOfYLRPy5iw/b/2Hf4OKfWq83g6zqSkhgXxpn5WNgXzUbGdAUt+Py20JCQ8xiycCakjEeI8N96hRIPKZOQWTdTNaFLGhTOBN3AiQha8V/Vy7hRGqFk/FzVs9AJBd2Do6NTihCCxmc2YMc6zyFmgRThXPbDar5+5wf6DLna4/mC3ELGPvBRUPP0hJSSPg9fw1kdW3DBVW1QDWVj0IUQnH3RGbRs35z+Zw9j/7aDYRvbG2d2asHwyYP8atuhRzvW/BaZ0ISYBDMfb3qnZHf51HOaoCgioCAWIeC87m249enrOf28Zn5ds3rBPzx93WslKmiV0bxtU5LTHWFOZ3ZsUWK0hoMZb87WDRwfZOcX0vOdTzic7/RgOm+OHo0cZ2ia65wArDaN2Ws2o9pgze4DzFz2D+Pv78MFLRqGPDcpK/EaW75HHlwEVGUtFwsUL4Oi2RDbKyIjCNO5SGII/HkqjmKN0g5CAeVUMLeFop9BO4bfam2B1ufRqRSpZQEC8iZW9VTcUBG1nqvqSejo+EQ3cHQCYsGXf3g1boLhk+dmeDVwvhk7p1KxgkCQUnLrU32IS/QdI75g2h/s3x5Z4ya1TjKjFz7rVe3ME9fe142pz88gPye8i7S4pFi+3Dsec6y55LHa9VPpfufFzJ7ws9+7PJ/tGkftuil+j3vscA6PXfGC3/1rdq2M2EJGg9pcPeAyfvzwl+A8TeWwhaGPE5WRs35m+sqKCmACSmsduHQ6NMdRIRJL4Mhrd77MUsJDE7/jjzfuD0PYlj8J8/7lr0UWC7JgFiJCBg4AwhD4zqyIQySPAfsuhwc+710o3Ob4R8KPkGMXhjMDHFjHHc26FfI/Ads/IC1g/w+HZ1JQbQQFRBNEyosIU7UXCtOphBM9B0dXUdPxG7vdzsv9fMS5B0FRgfcdv0VfLwvrWAajSky8udJ2S75dETHXbWxCDE9+8SDT9owPyLgBMBgNTN06hubtmlbe2E+S05P4cO2bZYwbF4PH3EX/V27xq5+zLmoZkHED8PEzXwX0OiuqQmx82SJyg9+5k0cnD8IcF7pIgD/vjZORG8d97tG4wRl65nLTCKvzsDtvnBqOBk7JaGF1/JRu1xdYrOwMsbYU4JAoVhqF3M8JgVIv8GuM7RDmThDTA/LeAJntzOUpIKAPaeLjgY+tA4B2fDQcvQqKpjkMHPsWHJ4z14epqjFA4iiUzJ9040anRqAbODp+83mISeeeqNMo3eu5uKRwxueD3aax+teyCzWbzcYXr8xi6EXP8MJNb7N7416SaodYEd0NIQQderRl4to3mFP0Od9mf0yX6y8Mur+E5ATG/vkSV9zZNSzzu37YNdSun+rxnBCCvg/3oP01bSvt55yurQIee8c/gXkCzXEm6p9W1igUQnD6ec3QtNAt0iHj+ofcx4lCsc3G3H820/nlCazZdxApcBy4LXeddw93I8f1q3A11ACnwSNczURZI8di8yAzHQypHwPG8PQVSWK6RbZ/JaHyNmVQEYlOgY2iuY4wtaBI0At+Bom9cA5awfvIiOysKaC2gJi+oLYMsou6kPQCSnxViXTo6ASOHqKm4zfL564Je5+PfHif13PX3X8Fm1duCyq53hNSk/w+YyltLzsbgOPZedzabHAZta7fv15K32E9MJgM2IorX3jF1YrljA7NaXHeqbS/+lyWz1nN4X1ZtLzgNBKS42nVoTkpmclhmb87wz4YyIU92vHRyK/I2peFKc5EzuFcNE0LKFzr0+e/5rpB3THHeveAjJj6ACOufokNSzZ7PG8wG6h/amDeKHAYRRuXbvG7fXJ6kkfBgn1bD2AyGyuVJvfFHc/fwKU3dQr6+hOJfdnHufmDaRzJy0fzJJPmMl5cnhtJqaCA87zP0AfndVJCjEHltHrhqQ+jGOqjZayBQ+fhU3AgJEyAlZBcvKaLwzUZzyhpgbWP6YMwnub4XcsBKgp8+DlwRFXiTlQ02yFkzoMRHEEF+1bQckEGUTzZdAFK6tTwT0un6jnBQ9R0A0fHbxqf2YB/V2wN6fqd6/eAhJTMWoz49EHO6ux9R6lz7wvYuGwL342bh6IqWDwoawWCEJQJZXriypcrShFL+Hr0D1w3uDuzxvzos78u/+vAk58NKfNY87b+JdeHgw492tGhR8VQAWuxjaU/rOLHD+ez+td1aDbv32JCEexav4fm7bzPOzYhhrcXPs/C6Ut48eYxFc/Hx3DhdecFPP+bRvTii1e+8bv9od1HKcwrIjahbJhao5aneKxz5A9CEXy1/wNqpYXPa1fTeWLmTxzOy/ec/yYdIWguhOY4kBWNm5JlrsDjjVQAr911NaoSvkACRTGgpX0FR3sQmbAeOyGvCixzwXh3WGbjkfi7wPKT/+2tpXV/pCnwz3Epx8G6GkwRlAI/AdGODSayK03nd2Mwxg0CEp8O62x0dKKFbuDo+E2PAZfx08cLgvouPv28Zry75MWArhFCcO9rt3L90KtZ/+dmDu89yoRHgt9JMpqNdLu1CwA2q43Nf23z2E7TNNLqp6CaVOzF3r0hC7/6k73/7ie9QRpndz6DhNR4Tm/bjCZnha4KFQpGk4HOvc6ncy9Hdenr0u6g8LjnXCe7zU6in4v7Ln0vJP2U2rx48zvkZuUhkaTVS2XkVw8TExd4/kpMnJknvxjKize97fc1ilpxMZzRsDYdrm3Hwul/BvzeTExJINFNuOBkJ99SzOpd+0uNG/fNeM2ZX+N+gbOYp1Luda90D1/A7KfvoEF6YHlb/qAYT0OmfonM6g94L0ocFMIMMkSRj6JvISFyBo5iaoNm7gaWef5dYF+Blj8JYWgFx0LzJMi8DxCp/tUt0wEpLWBbXdXTKIfAEX8qIPEpFGPzqp6QToQ40UUGdANHx2+at2tGv6f68NkLMz3WujHHmbEV21AMSkm4kFAEHXq0Y8TUB4IeN61eKhf1aQ84wprGDvmIHet2Yykq9mmAlKdBy/o0OduRiPzPH//6bNuoRX2/NoC3rdnFtjW7WPp92YruF/ZqR/+X+gUVuhVuxv75Ev3PHlahQKuiCpq1bkzdJv4XaTujQ3M+3T6WPZv2o6iC+qfVDSkkpcv17cnP6c/b9030aZwoqqDNpWd6DKUrKrCQcyQ3YONGNaoMevt2lDB6EGo6h4/nUaw53/iirKFSwbihpFkZPWjpqV05L84dl7SNiHFTMpypNTLhAcgbFd6OZTjCryKfJySS30Va/oCCSWA/Bvb1vi/IfQuJAoQo81y8CCkLEcK3UqWOE+0Y7h8M9xwcgUAiEYFUxQ4FkQnxdyIUZ+6r+RKEqhfw1Km56AaOTkDc9kxfLrulM8vn/I0pxkjHnucRmxiL1CTmWBPZB4+xZfUOUjKTSagVR1LtROLDKBbQrHVj3vrNob+vaRrL56zmx0m/sHT2qkquhJ3r9/Dla99y84he2G12FFVUWPQDIKDt5WfTsGX9oCWxl8xayap56xi38tUqN3IaNK/HJ5vfZdRNb7N5xVYUVUFRVZqe1ZBnZwZelE8IQcOW9cM2v6vuvpRLb+7Mkm9X8MsXi1mzcD2W/NK8K5f63TldW1FcVMy/K7bz0TPTyD6Uw1kdW7Bx2RZ2bfBe4LVk3oqgwen1OLL3KPVOrcNdL95Eu8tbh+151HR2Hs7iyrFTyiguS2e+jddaN679BVH6GKoHI8dNnUDRoE+Hs8I6d4+YKhfHCJxQc3tiEHGRT9QWQiBiOkFMJ6SUyEMXgPTlzSoGwqAiKExQvAbM7UPv62RASaW89R8ZoQFfmBHp8xFqZpTH1alSyijGnJgIf6rO11TatWsnV65cWdXT0IkCU0fNYOrzMyptl5JZiy/3TsBSWEzfOv0pKqiY19PzgSsZNPp25n3yG2/cHVq4xaW3dOKxjweH1Ec4KcgtZNuanaRk1OKU5kHIyUaB2ePnMX74VGzFNmQY1NFcDP9oEJf3uyhs/Z1otHr2LezlRQVcMs84ZZ7dL3Dm31QwfpzXlIStuW6kLjU1DS5q2Zh3hkSwFoxrigfaAccjPo5/qGC+DJH8NkL4U7cnfGjFmyDr2iiMJIAEiLkCkp5HUfQ91MqwHenpkIUuh3D+F1GUdETyewjTOZEd5yRCCPGXlLLa62jHpTeQLfo8HJWxVk94uEpeEz02Q+eEoN9Tfej/6i0eczTcyT6Yw7BLnmXqqBlc2q8zBrMBRXXcRFSDwrmXn829r98KwOW3diEuMcZXd5VSPnStqolLjOWsTi2rhXFzcNdhZr07h2/GzuXw3qMAZB04xoThU7EWWcNm3BiMKo9+fL9u3PjgkjcnVjRuoDQcn1KZ6JJT3jw7LrTSQ9hd3TisnWUbdoVn4pWRNh2H8lkVI5IheSJKyrtRN24AhLExGILxqpicRywQByIFUqZB8njA03ejBHKhaAYcaoVmi5Sa3YmDmjya8u/RyIelCUh6G5G+WDduTmZklI4qQt9e0amR7N60j/mf/c6uDfswxxg5vC+L7APH6NjzPP75YxPZB7xXLV+3aBPrFm1yhHEogguvO586jdM574rWnHPxmSU5Jbs37sMaQI6PJwpyCym2WDGZa0B9jigya+wcJo34vERt+MMRn3Hf6NsxGA2VGqmB8vXhSRUKhOqU8sqPC9ifk+fbWnH+Q0nX7zgMHsWXkSMd4WhlESAlJkN0FvmKsQkycw0ybwLk+y9mERxe5OIAZB7kvYI0z466jLIsXo7MHggyQLl9EQumLlDrNYR1NQgDGNsghGPZoMXfDfkTceQUeTJkJBxpgxY3ECUpOjvFNRFhaIqaNgN77stQvBJwlCeImJFjvgJqvYSi6MqROic2uoGjE3WKLVbW/7EJgFYdWwS8+P/+g58ZN+wTj3VP/tt+0LO8rQeklEi7ZPHMZdz0RC82Ld9Ko1YNMBgNzB4/jykjvwpoXp5QVYXsA8fI9FHQ9GTCUljMuGFT+HHiLxXOjXt4Cne9cGNYF4B9H+mhGzc+OJCTy8dL//bewBWiplFaqdP98+WUiC6Tg4Pjb6mA1CqeAsFVHaJXEFIIFZE4CM3UHrJvjPBoKiVFgcpgA9s2ZP5EiL87al4cKQuR2feCDNSTYgBpA9suhHUVwlyxOLGSOAQZdzMy+2GwLfPeVcF4NMvvKOn+S8KfbAjjGRhSpyJlEfJgeyBEpT5PKKdC7Zkoiv59qONWkPkERjdwdKLKn9+vZNQNb6HZJEKAIcbAiE8eILNhOrVPSaVW7SSf12/5aztj7p/k9XywKWVfvDQLgI+e/jK4DrygqAopmbXC2mdNZcbo75k44jOvoWcSsBRZ0ezhq1/SpW+HsPV1ovHblu0M/OxbwGm3lIk/o8QiKTFu3M+BQyJaOG+S7vk2rp+i7EOuvuJMBob0jX64oGI+F814HlhXRGiEyr587JA3GmlZDKmTSzwh/qLZtkL+l2BZAuSAqT0i4UGEoawsvZQSin9H5k0C6yocAgKB4ixybN/o8P6kTECYK36WhJqOpPKCyNg3oOV+jJJ4RxBzOXGRUqJZViG1TUAGFH0D5AFhzsFJeBIl4fbw9KWjU0PQDRydqLF3835G9nqjzGP2/GKe7fNmyd/1T83k1Z+eIqNhOscOH2f3xr3UaZzB4m+WM/6RT2qW6oeA3kOuwhRTDXIAqphne7/Oktl/+W4kJUaTkUc/vp9Xbx+LNQwiA8MvG8W3WR+F1MeJSJ7FwuAvv60YeuYyTFwvuwZxRgOFVs+LWKngEA/weNJ53tU3YFYVXh1wDbFVFLIpkkcjj1wRei0br9gplYH2VHxWA+tSZMEMRLx/3iTNng1HrwPtQNkTRd8hi75DUheUeDC1RsTfjiz8Bgo+J2TJ59KBkHlvIsxeRFxMl4Ktks82QP7byITbox6iF000237QshHGUxGiVJVOs+5EK5jhqE2k7QNUMJwBtlV4q0fgUlMLycgxXIJIGxuwMa1zklCT1lNBoL/rdaLGCze/U2mbfVsP0q/ZAwgRvDemutDrgSu54/nIS8JWZ2xWG89d/ybLfqy8mJ0Qgo7XtaNu00zOvqglz/R8nY3LtoQ0fmFuIXnH8klI1ot5urNwy05sLpul/PrJ7XMXZzBwx4VtGbdgWUV1NRziARLvoQ6usjFCwilJiQzr24VOZzUJ/QkEiVAzkem/wtEbwL6byNzhrVQquZz7PFpsLxTFezvN+i/kjQPLXHwX5frPcbpoK7Loa7yHyYWAdT3aoQ6gpCHiByJiryk5JeKvRBa8TuWvZQFgwbM4Qc3Glj8DckdQ5jWI6YuScD/a0RtAHvRwUeUKr6HVwYlBJA3QjRudkxb9na8TNXat3+N32xpr3CjQ8rzTeHPBSAzGk/fjdTwrj3fum8gf3yxH88MLoxpUbhrRE6PZiJSSWrWT6Hx9+5ANHIDNf23n3EujUHelBrHzaFbZ3BmokF9jVhRGXN2Vz/5YXXHtqgE2h+FSUUigbFcJcSZ+f3EgBjX66mGeUJRUZO15yMLZcDzwOlB+jADG1mBd7qONDQ61R2YuQ4iyHl6pFSCzB4F1SZDjh9m4cfWpHQXtKDLnSaR9L0rCQACEWh+Z8Ajkve67C5FAWGrtVDO0ormQ+3jFE0XT0YpmEuq/R9BGjhBgaBHS2DonNqLGLrT8Q5eJ1okeJ3BogovTzmnCi98/flIbN1JKHus2iiXfrfDLuAE45fS6TBk5nZsbD6J7zM28dud7tOt2dqVvGUWp/D01b+pCv+ZwMrFy574S70oZnEICAriiVXNe+n4Bmw8eLREbwO44yte/EeUO3H7mFxTz+YKyHryFa7Zx+6vTuHrEh4z8+Cf2H/GuehgJhBAocdcCkfDsaZUYNy7ykXmfVnhUHnsoBOMmGhRC3jiHgIGWhcyfCvajlV8Wd+8JF54mpUQ7NsJHi0gYm/5ggoThCCV8RbZ1dGoauoGjExU0TcNuraov++hRVGDhnUEfsnpBxcJtJwsb/tzMvq0HsNv8FAsQsGv93pI/pSaZ/+kiRlz5UqVBL4ofcsN52XotDncsVivL9u5BM4LdCJri5qBx/nJb+zbM37AVi80RgyZcB26Gjdvdw9u/k3CefPe7xazZvh+Az+evYsSHP7Ju+3/8l5XLD0s3cuMLn7LvcHSNHGk/QnAJ+GGksKxSo1a8BooXVNFkAkAoyMLZyMMXI3Nfh8LJlV9jbB35eUURaduNPetOIDei4whEST4OSh2IvQ2Uuj6uiIOU8Sjx/SI6L50aTrRq4FShk0g3cHSiwuaV26p6CmVQDAq3PdeXxLSEsPa7Z9N+Fk7/k2eue42PR4ZXka2msG/rAazFfigrufDyBXh0f3alX45CCNIbpPlsc8VtXfyfywmOJiWd35uE1VXAUwFpAM3g9lLb4Vh+IVa7vVQG2kV5V41wGEjlKR/5YLVKXpn2K0XFNt77bglFFlvJzU/TJHkFFq57YjKvffKLQwUsGmj7QYQ7ZCpAD4VILflVWrdA1i1hmkYyEQ0HkxY4/gLIQvwWM7D5kCOvYUjtGPYjvcC6OPJjIREYIG0eSsbvKLWeQqTNBPMllH2/JUB8f0TGYhRzp4jPS0enuqMbODpRobjQk6JQFSEgJaMWfR68mq/2TuDRjwfRsGX9Cs1qpQdfCM1SWMz0N7/n8F4/QjdOELIOHOP5/43mjXvGRc1bpyiCa+69nJgEz4u5mAQznfsEU8H9xOSXLdvILiisGF/mlHx2GS1HcvMrxv17kIqWbj/dN+xcnhvXoQCb9x5h466DWIqtZboRUiIkSKtk+i9rGPrGzLA9X5+ojR0L9bASoHGWNKT0yry3CYtHKeYGRMafkPgokUmzVXHISAeo0maomXlw0rYXe/YAbAdOx3agJbbD12I/1A2IhMfRAEoTUJsDdRBKQ0TCM4jMDSjGxiWthJqGkjIekfkPIvMflDqbUeqsQkkcjlDCu2mno1NT0Q0cnajQqlM1SXYU0PG68xi79CViE2JQDSqdel/A7k37KjTNOZxLQkocMfHB7YQKVfD3gvWhzrhG8N/OQ9zc6D4Wz1ru3xpPgMEU+uJLURUyGtRm2u7xXN3/EhS1dBXeqFUDpu2dEPIYJxIfLPFRA8btbnBN6xaALDFcfDomRFkDp3xoguK0dU0GlX/3HELTSi4DKVGsoBaB6sztWbJuF/sPRT5cTShJEHNlxMfxiqEzivmC0r+t4fBwmFGSRzmKm6r1Cb8Xx6kLHgSe6uhUd6SWi/1IL6TlVxzP2wr2DUBWBEYzoaYvxpDxM4b0HzHUWYya8StKwq1ec5eEMFYQqdDR8ZeS0OMIH1WFbuDoRAVVDc9bzWBUGfB6P05tE7jU7IU9z+OLXeMYOX0YaXVTSh4f2esNr4vyuMQ4Br9zJ537XOC5gQ+EhPhaJ0eS54BzhvstKFCvWSZvzH8GU0x4aqF06NGWuMRYhrw/gLlFXzDPOo151mlM/Pt14uJPPEnaUNhy0OlR9BYfLSElJoY5G7dgFRKpgjSBXfVhtyqUTc6ROIQI7KDY3OqCKoL/so4DstS4sTjalV4uEVKyeHWUQlqTXgWqYMc79maU2uUKFqv1Qu/X6OYlMbUDf4pwBoTvQsxeMXVFiJq33NAKvybSOTYOzIiEBxBq7SiMpaNzclDzvnF0aiyVLWgVP4yg5m2b0vP+7ry//GV+LPiU0b89x10vVl4wr99TfXi2nGEDDvGDtb9797JYCix0u70rFwVh4BhMBtpdcWIl1npi/dLNWPL9D/WplZ7E6eed6r8IgQcUVRCfFMvz3wwnLjE26H6CRUrJH9+u4LErXuDJa15hxz+7oz6HQLHYbBQUW0FzGhWuw4ajKKeEuokJtD+tIct27Cn13AhAdSvaCaV1cDQQVoeXxiVCgAKKdBwlxo0QpNeKp7jYbfdfc7vGiUAgJHz2ox+FI8OAoqiItClRGQsAcQqkzUGp9WzFU/GDCLlGjNq0tD8lCRIfI+C8IK8o+K7H4/06keRLaawaY91A+I1ED5h7oCbcF/lxdHTc0UUGdHTCQ2bjdJ/nm57d0Of5C64+lzd+La0vYzAaOLPj6SSl+c6VSc5I4raRfT2es1psPhfa5195DgB1mmb6HKM8qlHhlTlPYqqiiu3R5J37JgbUfvPKbfz21RJs1uAXDo9MGsSX+z+gdZdWQfcRLHabnbvPephne7/BqvnrWD5nNQNaD+dy9Qa+eO3bqM/HX56aMx8oq4ZWIumsQYuMNOYOuZNfNm1zqKe5I0CqlL1pWct6X9z7S6+dQKzJSHyMiViTgUaZKbz/YG/qpjo+qxIfoQtCcODIccZM/S08T7wShDGKuSFyLxx7CCkr5iSKmIsh6WkghJCjoq/Qct8t7dPcFQjmO8jT0kABJcXD45UgUhGGqivuGgrSp1pZGCn+KTrj6OicROgGjk7U6Pq/C32e37p6p8/ziiI81pdZt3iTz+u69PUe+22KMVKncYbHc0IR3PfWHQCcek6TgEKq7DaN089r5nf7msz+7R6qdPvAbtN4694JQQsRxCXFctktnavMeJw++nv2bNzv8dzkEZ8zuMMTIRlvkcCmaXz7z0ag4n6+6+/nr7mUQqutVJK2PK7qnbKiYVO+Wa7Fwi+vD2TM/T2Z8uhNzHjmNuql1eL8lg0xCvcyoB7GkhIkfDlnVfQU1UL1nARyK7VvQhZ6FlJQ4vqC2iC0qeS/j5QusYJiHKIAgWACPIXW2kDbFcSEqpHATIAIc+foDCTzojOOjo4beg6Ojk6Y6D0ktITezEaePUDmON+JtG0vP9vrOSEEg9+5E3Ns2V1TRXV4YBJqOQoBqqrCU9OGohj8/MhImD56tn9tazjFRYErP2kBADT2AAAgAElEQVT24L/1zr6oZdDX+ouUks9fnsm1ybfTzXQjPdPuZNa7cwD4xvnTG/8u30a/poM5si8SicjBsSv7WAXp5vJkJCRSK9ZMZpIHj6grr8YVUiYrGjbuFFisfDx/BYeP5zN7xQYm/LiUxet20LReGh3PbEqMopTOx31izt+FdEhaH88PUKkrWOLvDO46kYzIXI9SZxMkjfL/uuNPo1m8bMyovj3dlaM5Q6sAtQkogebNFANhXHCb2oavrygji36N0kj6UkxHJ9zonyqdqBGfFM9ZQS5OjSYDV91zqcdzZ1xwmtfrTLFG2nXznQdz/pVteGXuk7Tr1po6jdPp1Ot83l/+Mm0uObNMu/ZXt+WD1a9z7aBunHPJmXS41veN++u3f/B5PlzYbXY+f3kWNzQYyG3NH2D+54uiuPMNmQ1DXZAFxj0vh6lWiA8mDJ/Kx898RVG+BSQUHC9k3MNTeO76N8k+lOPZdeHG0f3ZDDhnOLnZ1WNnNjkmpsRZ4u2dkZmUgBCCZ6+5hBh3T6kr38bmtD/8eGtJCe/PWcrwyT8wZf5fjJ/zJ4MnzOL8B8ew/N/d3Nb9fE5tkEZaerzTKyRLPDcu7xCAOQxKe/4gEoYAgcrCxyDSPkcIhydRibsBEh7z//Lsa9EKfqk4l/i7CE3eWQHh8EgJIRDJo0HEElLoWygkPlU144aIlDYo/DA6g6m+w7N1dCLCCZ6DI6K5EIo27dq1kytXrqzqaei4Ybfbee760Sz93v8kYoNRZdiHA7n0Zs/hAkUFFm5uPKhixXoBY/54gRbnnRrKlH1ybfJtFOV79mCk1Uvhi13jIjY2ODwNVyf0w1ZcNtyr5fmn8c4fAewoh8D8z37nnUEfYimIcFV4AcMnD+LyfhdFdJhDuw/T79QHvH4xSylLZFulc1HuCdWgcPWAy7j9uRtISq362hTt3nyPnMLikpABd9EzgNn9+/Hc7F/5e89+jKpKakIcB3JykZpTTMB5uMQBKBeCUNKfdLbDgw0oQVglwi6YP3oAqUnx9Bw8gQNH8yq0P6NZHSa9EHljtmRqWg7y2ENQvATHk0xx/JQeJKuVTEj7HkWtVbYPaUMevQFs/+D/nd0InALsdF7jHsIXDAmQ/AbC3KlEQljaDzrC4uz7QW0BeWOA7BDG8ISHeZuvQUkZHeZxooNm+R0t+66ojKUkT0SJuTgqY+lEFiHEX1LKdlU9j8qIr91Atrr6oaiMteKTYVXymugeHJ2ooqoqz88ajjm+8t1Eg0mlTpMMpu0dz8U3dmTr3zv46Olp/PDBfIotpXHdMXFm3lr4XKmIgYD6zesycc0bETVuAO4cdZPXcz0Hd4/o2AAD2z1awbgB2Lh8CxuXbYn4+ACX3XIR979zF6l1kxFCkJxRiwanh0Hy1kl6w1QGj7mTWUcmR9S4Obj7MFOfn8HtLYb4XF+616QQQnj15NhtGt+9P48+6XdzVdwtbFuzM7wTDpA6iYllPE8lm2vOQp+3TPyS1bv3IyUU2+xk5xXQ5pS6dGnWmIyEeNo0qkvteKdinetpO2vgQKkTRrjW6MLzyygVAYrkhY/nAfD5G3eSnhxf5mWsl1GLMU9cH+6XwCdCqYWSOhmlziZH4cTMZSiZKxAZqyD+YYdCmaEFJI1CpP9ewbgBEMKASPsMEoaD0tTDKJ6wAjvwmZcUEDY49jDy0IVohfOQsgihZiLi70IkPYWScAskDSNsRUBNHSFlquO1EXFArOMwtkHUeiE8Y1QFWg6B5y8FQfxDunGjE32ilH9TlTk4ugdHp0ro12wwh3Yf8dmmx8DLufXp6xk7ZDK/z1hWZuccAfeNvp1eg6/k8L4sbm/+ILbi0sRuoQjeWvgcZ7RvHsmnAcDtLYbw37ayifbJGUl8um0sppjIhoV0M3qXyG7Qsh6T1kZ399RmtWEwGvjtqyWMHjDBEeIVJImp8Qwd15+OPc9HUSK3F3M8O487Wwzl+JFcx8LdS1E9b5R8h/rxVfrolPsj7oHyxmXvT2ZXdk4Fe8xlj8RYVax2exl5aCGgXcP67DqQzdHjBQ45aedpbKU3L1cxT1G+4/K5OhLQQLFJYgwGlrz/YMmpXfuzWL1xD0eP5bNj31Hq1E6i7xVtyEwLsvZKNUAr/geyelf1NHDU+snD8a8RB+T7bu43iSh1HN54KSVY/wLbDjA0B+PZAX+WqhPSfgD74Utw5CRFgnqItE9RjXp42olEjfHgpDWQZ0bJg7N8qu7B0TmJuPTmTpW2KSoqZmSfN1g4fWlZ4wZAwriHpnB9nXu4pfGgMsYNgNQkwy5+Drs9+For/jJl0zs8+N7dpDdII7VOMreN7MsnW96NuHHz86cLfZ7fs2k/7z442ZEzEiVcKncXXd+eTr3OxxxrQiiBLXL+N7wHc4o+4+uDk+jcu31EjRuAu894yGHcBIm70V0Zb9w1jsWzlgc9Vigkmp3hSm6PuX43C6XUuFFKDwms2L2PQ/kFjoZOo0dCiQOgfIhaCV7ylBzhawKl3PsiOSmWD79ewsSZS5m/bDOffr+Sng9MZMynv0U1pyycKKYzIeHRqp4GpaIBkvAZN0DyOyW/CiEQpnaIuL4IU+sabdwACLUOIv5uQlfY84CxC4Y6v+vGjU7Voufg1Fx0D071pTC/iBtPGUhhnneVJNWoYrfaKxo3AfDSDyNo2KI+37w3l+1rd9Hi/FO59r4rSK2THOzUqw2+vDcuDEaV5IxaTFz7BvFJnqRfI8u2NbtY89t64mvF8fGzX3J0n++4f8WgMKfgs6gtjg7vOcLNje8vfSAID44LX/k47pzSvC4fbXw7qDFC4cJ3JnA4v6Csapkz1qxFSiq7Dx7DomkO48aDm0exlCqouR7DBoorP8fToG75OADYnd4eKTm1XhpnN6jLotXbUBWBzWYnJ7eowvWKBtd0PoMnB4WmwliVaAfOJazKZGVwWaRRliZPGoMSF/kw3GghbXuQ9p0IQzOEWhpiq1kWoh172HMuVjDEDcWQNDg8felUO2qUB+eqKHlwPtU9ODonEbHxMby54FmfbYKtk+LO5Ke+4PYWDzJj9Pesmr+Oz1+axY0NBvLTlAUh912VbFm93a92Nqud3Ow8fvqoap5vs9aN6D3kKjr0aIvFj3C13kOuiurO776tB0r/CGBYTxtDvvJx3Nm7+T9+/3pp1L0S2UWFaEaJFgOa2XmYJFJI6qQkYTIYfKrDSVc6gnD76au9638uYQKrQ4nNEeMm2LrvKDP//Ies/EIO5xRwLK/I4R4qc4BE8v3vG9gUYL2lakXikDB1JEA9F1KmINJmQcY6RPoiSKqCXBdRRapsYUZKC7ase7AfuRwtuz/2wxdjyxpQUktImC4CGXyobRlEGmri/ZW309GJMIITPwdHN3B0qozUOsmopsgmcW5dvRO7tWKY2pv3TGDO5IoSrTWFR7v5v6CxFBTz928bIjibypny3HQKfHjrXNz2TN8ozMZBzpHjbFi2tcwC3V/jylM7fz04AKP+9xaD2z9Bfm4h2QePYS2O/O67XchS74x7GJoBTk1P5YsBN1K3VoLX51DmRiXcDBgoCWdzd+4I4Naubeh+7ukYbE4vj2tcAagCVGfbksQfDygCpGTQ01/wXxTDLcOJiOsHhjMI/pZrhNhbELXnoqRPQzF3QBhboShmhJqOiO0BIspeaaWiyEJNQkoL0roZ+7HHofg3HB4wG2CH4l8djwNgcR6hEotIfLjGh+7p6NQUdANHp8qITYxB8ePL3utiMkTeGTQp5D6qivxjBX63VVSFes0yIzibylk8cxmazXs+lBCCJz8fQkwlRVvDxc71e7ijxVC+eGmm354XXwTzfty8cjs9k+/gf/Xu5arYW3jy2lfQtMjljGlq+Yx/SoydjIR4Ts1IY9JtfSrkxpR2UPGhEmlol9FEqaHT4fSGPNKnK6/ccxUrJgzFaFJKL3I7pC8xL02iWiSKDSxFNvreN5Fv563x5+lWK4RQEWnTIGEYqM1AbQCmq8B8A6inUdbKbgykgoh3HJgh7lZE0jMIQxMv/Rsh5SOiWuvGvjd6Y4UZe/4X2A+dj/1oH7B4Kchs+Q5p3w+YgfjQBlTqI5JGocbdEFo/OjrhpKT+WISPKiI6VdR0dDwQGx/DRX3as2jmMoqLrJVfQOlCMhy7YFoUBAgiwerf/gmovWpQufa+bhGaTeUUW6zkHvOd2Pz+ipdp1rpxdCYEvNF/PPk5pUZiWHZVQ/weX/7DakZc9TKvzn0y9Ll4wNf03vjlD6498wya1k4lyWjmmKWst00Ul7WNpCv0TJR6YKQAVGdYggZL1u/m+2UbuOaCMwCw2j0k6giBVJ2epfIfRykxFFNBie31CT/z26JN9Ot9AW1aN/JukFUzhIhBJPSHhP4VzklpBS0blGSEMDmKTBb/6XjMdB5CrVtp/4qpFTLtS2TOi2CLQu5p7liIuy7y44QJe/5kZO5ooHJPcsk1xx7DkDYVkdAfmTfOw7WxQKHPPkTKVFRzh0Cnq6OjEyK6B0enSnnw/Xs497KzMPhZsVwIEVYX/4dPfM7oAROiVjMmHDx97at+txWK4LmZj1CvWZ0Izsg3Yx+YhM3iOwTrwM7DUZqNozDs5pXbwtpnOLxAAKt+XktxUWRkaV3FOYEK6jZWu52py1cD0OaUuhWk1oTbJa5TJfVuFJBK2a4VzZFC8+pXv7L/SA5jZi2uaGG57+y51c2ROHb9hF1WlJl2Xrfin90MHfkVV/V5i3+3HCjfosYhhBGhZpQU5hTCgDB3RsRe65dxU9KPsRVK7c8htnIBklKMIILw8MpwFwqNHLa8ScjclwjEuAHAugwAJf4+h6KaiANiQCQiEp9AzVyLoc5WRNKbePwCMLbXjRsdnSpCN3B0qpTY+Bien/UoHa+rGtGRr17/jrkfLWBIp6cZ2uWZai9Hm5uTR3Fh5d4uc5yJmHgzb/4yknbdWkdhZp6RUjL3o98qbVenUXrkJ+Nk35b/qlS6sjL+/jUwD52/OFKEJFJKx0/cPDEIluzYDcCIq7qWs2RAM4LmzJfBDsJebjnnFqLmOiGA3CIrfZ6bwtSfV5aEKwibRC2SqBZQiySK6+3szM8xGFRH/95sYtcGhyIosNl4cPjnWCz+eYBPGhKfAOFvjowVpCcBh1jfl5nOC3RWVYKUEvKCrQemIaUdIRTUxIdQM1aipv+KmrECNf6uks02Ne46RNILIFJwvPNjIK4/aurUcD0NHZ2wo4sM6OhEgW1/7wr8IgFNzgpfHYENSzYzY/T3YesvEtzb5jGf54VB0HNwd4ZNHMiX+yZwZqcWUZqZZ74ZO6fSNomp8TQ7p3HkJ+Pk3xXh9d5AeHLCXHz+8qyw9eWOVJxzFOBSKENIpOIQIGicmgJAanwsJguOfGuXApodFJvbTcvbGDjauqunWax2NAkobv3gdrjaO6f39N3d6HbeaQ5RAk8vq9trLQUUWay8OWZeCK/MiYWUEnKGgQy+tpMDX6FXApFUHer7+EMoIgHuljsIYXJ62ipGHKhxN6BmLEfN+Nvh2Ul6TBcU0NGpQvQcHJ1qQVFBgKEDEJFd+FnvzqHvsB7h7zhMHNlz1Of5b49+HLVE/cpY+sNfjHv4k0rbPTktOlr8Lo4djpASV5jej/+u9E8CPBAO5uchDRJhF6UeEMAVfCaNgge7OkJp9mblYJeg2imbFyOctoUrXs0DiuYwYIDS8LKS4QSKXXpKwykxcBQBndo0pXObpvy6ZDMlbibXnF3Gjetxp5L8vJ/XcWaLelzbo00Ar8oJSvFSsCzEoypEwCigNAJth9tjmZD2KcLQKAz9R4MQvg9N3QMyUhyhqiEKEujoRINyYconIroHR6dakNkoI6jrdqzbHdZ5REOuN1geu9K3NHTtBmnVxrgBeHfwZL/aWQsjk3PijZj48FcmD2duWCTEL77atA40H0VrDJBX7Ph3iI/x/h4SAkxmpeKN0emxUawVRNIqtvOI48SVF7YkMT6GhPgYxj5/Q+mpEkUexzglpXg06fAo2TTeHj2HewdMojDK76fqhrQsAML1GmiI5FGIzI2IjL8QmZtQ6ixCMdYU48ZpdBjOD+7axKFhno2Ojk600A0cnWpBz8HdUU1V/3bs3Du4G2E0WD3fd27G+8tfitJM/OPwXt/eJhd7o5wk3qy1/4szKaXH8LPyj7nyWnwVvvQXza5xb5tHwyoZvTf3OChetuycLpQ7v5xJdmEhmbUSwOi5HwkkJ8RyUYsmZVUHpDPUrDJ8vDZ1UxJ4qv8VJX+fc0YDWp1et9So0dzC45zGjoLDIyVNKiDYuvkgPXuMxmYLvUhwjUUkERbFCwAUMJ7tkLlWEhGi6r+jg0KtHdRlMutWbMceRyuOTF6cjk5VIrToHFVFDf220jnRuOj69lx556UYTCrhClsWAmLizSSlJfrVPiElnv6v9gvP4GHGbq98wZZcu/oU3ivM9z/k0Boh1TBvnNmpJTHx3r0ULqNGuoVDuT/merzkdzfp8hIvTojv4e1rd/HWvR+E1okbF9Q7BaPZy9e9dAgOHC7K5+VfFmJSVXpdeKZD9rmcPSQktG1Yn6z8AhJjTI4cGVeOTnnhAQ9oRg8mljPULNZsRFXKznHEoO6liaruMm3uP0smBwiBzabxyNDPKpnJiYuIvQ4IUwHl+MEIEX6PZ9Sx/BzcdfIQFM1Ay+qFLXsIUtbM0gI6OicjuoGjUy0QQvDg2LuZtG40j0waxD2v3EyrC5uTmJpAg9ProiiBv1XP6NCczEbpFOUXVRo+1Gfo1UzbM57YCIQvhYMJj/pesLW57MwozaRydm3Yy/QAxBrOvfzsCM6mIqqq8Nq8p1HUsu+p8kYN5RfVHg5HzH3Z8LQSQydEI2felIWhdeDG1c1Op0FyMppBlsgwg1NVTQAGsJslM9av51BeHs90v4SWTTOxGyhzKKrgt7XbWL/nIHlOw1QIUK0OB1GZwr3CQySbItAU5/AlIWcCBcHOfVl07/8eX89dTX5+EY+9NJN+D0wu+29gd+0KCkcqkJfX+J91e8L22tU0hKEBJL1CaG9AFZJeQ0kcHK5pVRlSOw6EqrInwfITsqh6i9Do6ASEl/ta2I8qQlR3WdxQaNeunVy5MgoFz3Qiyt4t/3FXq4ci9kHp9UB3rrjjYhJS4sloEFwoQ6S5KqGfz1oy86zTojibUras2sG3436i8Hgh3e+8mH+W/MvXb/+A3WrH7keYUFLtRGb8NzEKM61I9sFjjHt4CmsWbsBabCP/WEFA+S+qUfXZXroW8CEw6+hkEpLDk7R83GLhqq+msDfnuENsQIIUstQYc3pjzq5Vh3G9e9DtrcnY7GWfgMtjo7oX/pSADQw2iDcbsWsSi82GlGA2GEiKNSOA+rVr0bvjmbz76UKycgsdigLO60u8P1ISI1RiTUaOHytEaBJFcxuH0nEl0mHs2CVoEkO+DWFzNJaK4PsFjxMT4yXW7iRAsx+H3HegaAaVFaMsi4DUr1FM1WfTJBS0wm/RcoYTFtEFY3sMaZ+G3o/OCYsQ4i8pZdXUvQiAhNQG8uzLopNj9uf0R6rkNdFV1HSqnKwD2TxyyfPs+Xc/CGjXrTUv/TCiZFd80dfLEEKETYo3vWEaiqJweM8REIJZ787lm7E/YTCpnNqmCSOnDyO1TnJYxgoHdrvdp3FjjjNFfA5H92fxweOfsXX1Dk45rQ51m2Ty7fs/YbeVLhoWzVwWcL9PfPpgOKcZECmZyTzx2ZCSv4/+l82q+WvZvGoHihDUbZLBrLFzObT7CDHxZjr2PI8Gp9dn/9YDCAW/6vuESjg3oJLMZr647gYu+WQSNiEdss2U9bigwIZDh7h72ixsmixzyr2NZgDV5vaYCnYJ+VYrHw29gXmr/qXIauPyNs1p36JhyWd50uylZBUUIdUyI6MZSuWjLcV2ii32sv6HcsaN43fhkLkGjLlWhLtCm10ybMDHjJl8N6rh5AxUUNQkSH4aeBoALX8q5L5O2WKXRhx64K4XOBOS3zxhjBsApEvvPBxUXxEaHZ1AqcoaNdFAN3B0qpTjWbncUH9g6QMSVv60hu4xN9FzcHc2rtjKpj+3hnXMw7vdk99L8ymsFhubV27jiatfZtzKV6pNDYNxw6b4PD988qCIjr/0h794pufrJX/v2bQ/bH2XDxOrStLqpnD5rV24/NYuJY/1fOBKj23nf/o7P374q9e+wmWY9K59NwBtLz+bZ6Y/TFxiJcUXK6FBUi2e6NiV5xct8NrGJjS2Hc1C8WBUuB6QKqVrPVe4ngRNgYLiYh7te3GFfq02O+O/WeKolVOuP5zXlsnjEYAikJr0qd2gWOxljRtn2z27jrB08WY6dq3aWlDVBSX+VmRcP5AFIGJAFoHlV5B5YOqIMISvplh1Qpi7VN7IT5TY68PWl46OTmSpPqsLJ0KIZ4UQ+4QQfzuPq9zOjRBCbBVC/CuEuMJXPzo1g8e7v+jxcc0umTVmbtiNm8qw2zT2bzvA9rXhlZ8Ohe8n+E6Q7dz7goiN/e+KrTzb542I9T+y9+tYaqCs75bVO7yeK5PHEyb++nkt/6s3ICzKanec08Z3eoYJVDVA4971XDV4b84Sj00Wr92B1xxtZ9FRT8U9peIawvMLKuwa0qigmRQ0gyhpVVRoZe2qIAoIn8AIIRBKvFMVLR4R2wMRd9MJa9xILRdZvDQ8nRlaI2J7hqcvHZ2qpoz8foSPKqLaGThO3pJSnuM8fgQQQpwB3Ai0AroD7wshwiQVo1NVbF21s+KDQThODKbwvRVUVSHrQHbY+guF7et2odl8f0HkZuWFfVwpJW/fN5GhXZ5Bs0fuC0ogWDlvTcT6jxQNW9THaPLsAHcXGTDHmanfvE5YxrQUFDP56S9D7kcIwZB27b2LKCg4RD1KU2TKIh2qaa77I1DmTrLr8DGP4/60fJNjfI9nJdhLi4QKKI0qUgSa6mEi0pF7gwRU4cjpUQXSrCABk9lAemaSx9F0Tny0wp+wH2qPlhNqIWEzIuFx1LQZCKEHvejo1BSqq4HjieuAaVJKi5RyB7AVqL5FS3T8w8s7MNDwsNQ6KWGYjANrsY3mbZuGrb9QGNnbt/fEYFL57UvPO+ah8M3YucydvAC7NbKyqBJJcQ304Fx8Y0dikzyHi9U+JZV+T/Xh9fnP8G32Rzz28f1hG/frN2eHxYszpP2FpX+4Gw4ChA1apqeDsVSlrLwgjlQcks/u1orE0b5JRsXP4uyl65m3eovPOSlWiWLVUGwaaJrD0HL2rxoUDKpSYWdQzbeVU25z/C4NAkURXHpldBX6dKoH0n7UadhYqNyVakDEDwFRTmBGbYWovQRDnfWoCfdUm5BlHZ1w4ZLgj/RRVVRXA2ewEGKtEGKyEMJ1t6wPuGt/7nU+VgYhxAAhxEohxMrDhw9HY646IdD1fxdW3sgPDu0+EpZ+YuLM9B5yFbVqV/3Or81m4+BO3+9hm9VOztHcsI77/YSfGffwlLAWmvSGrdhOm0vPivg44SYuMZYxi0dxZsfTSxY+MQlmbnu2L1O3vMttI/tyTtdWqAaVlhc0p2Ov8OzF2Kx2/vhmRcj9CCG4o7VbqFqpNBm9WpzBvqwch5yzq1yQe9E26bQjPCTGaEYYeGWHkr+tdjvDxn/HyI/mObr3IB3tGtdgkyjSMYZiA6FJNA1ef7I3C2cMY+jAyzAZFLBqiGINpUjzfPMUDm/Oy+/2IyU1PAp0OjUHKTXs2YMBfzdOzCgJA1Az/kRNX4SSvhQ1cwuG9G9RDRmRnKqOjk4EqRJ/qxBiPuApbuNJYBwwCsd9cBTwJnAXniMbKkZPSPkB8AE4ZKLDNGWdCPHEpw+y6Oul2IqrvvJ4nSbp3PPyLRHNaQmEh7qMrLSNEIKzOoeeRL1o5jI+HvkVR/dnUXA8EEnZ4DGaDQx49RaS06vemAyGes3qMPq357AW21AUgWrwHiY5YuoDDOv6LDvW76G4sBij2YDVhzKeL+ZNWRiW9+jILpdwamoaryz5nYJiKymxMbx8aTcub3oq7TeNdzQSIE2gFHkJLXN9bDWHcWM2qTRML1Ug/OD7pfy+djs4pQWkAUT5kiRSglYuPM3ZpxSSiZ8uokPbpvTo3ppNm//jh5/WIqyVbA0KMBoVFs1fT1GhlXPbNyWthr7PdPzHXrgYmTMIKPD/IiGQxX+imLuCWjfU8lU6OjWHE3yFXCUGjpTyMn/aCSEmAq7KWnuBBm6nTwHCJ+ekU2X8WPAZoweM5+dPFiGFREYw58MbafVS+GjD2z4XqdHm3+Xb/Gp3cFdo3qt3H5jE7PGBVfo2xRk57ZwmrF+yOeDx4mvF0v6adlz/0DU0a90o4OurG95ycdwxx5p4549R/Dn7L/5e8A9p9VK5/LaL2PjnZp7/31uBDRjGFdgtZ7XmlrNaV3i8fZMG/LjR8W8rFZAG3BRyHXkvwuYo2ikkYHA4TqSEtMRSr8n039di19x004RAM8gSYwYcho05T/P4tISE/w7lOC8VNG+SyU92hyS1UBTAXkGVTeLw/jzQ74MyfXW7tg3DRupJ4icqtmNPQlGQOWrSEt7J6OjoVDnVLkRNCFHX7c9ewD/O378DbhRCmIUQTYDTgOXRnp9O+BFCMGzifcy1fM5PRV9wx6gbIzLOR/++zezjnzA79xO63d6V+FpxJKUlcsuTvfl0+3vVyri5ocEAv9pJTfLmPeO5/4In+G/HoYDHOXb4eMDGDUBxgZUNS33nVJQnpU4y4/96lVlHHHkpJ4JxEwiqQaVTr/MZPOYubnq8J7XrpdK5T3syG/tfXDYm3swVt3eN3CSdDL+kcxm5Zs0M9ljQDNKhaqaANElkjNP4cabHWK12RnwyB6uzyGuBxRUm5LZpoQg0o8Pjo6lgyq8YalaS6yMgPTUBgP8OHGP6NysdJo0KUgjsZtXhZcItR0hKlKKK3rF5365i9MhZYZnEf2UAACAASURBVHh1dKob0rYzBOOmCNQmYZ2Pjo5O1VPtDBzgNSHEOiHE2v+zd57xUVRdHH7uzJY0Qif0KkVAQUAERAELgoiI8iIoHRUpCqKoWGiCiqgIoihFEUVBFBULTQURaYIgTXrvnZC6Ze77YVNJsrvZ7G42cB9/I8nMvXfOTpLdOXPO+R+gFfAMgJRyO/A1sANYDAyUUuZ/XpPC73R9oQOFS0T5fd0D/x7GGm7BGmbhuRlP8t3ZT/jm5HR6juqMHkL9WAAunIzN1fg9/+ynZ42nWTp7Ra7mrZjvu0CBNLKPtAkhMFl0yl1XmjrNa9K8Y2NGL3iOuYenUvXGa8up8YbH3njUq3HWCAvNOtxMsw6BbwhdrnA0vRo3wKKnO/2SFBlnhCtck6IUJ83pDolwwppdh/j0N1ed0I1VUp9XpTS7IcO3gOaQOM0izTlx6gKnWWCYRZrk89FzscQlJDHwmS84fuJC+rmRoAmcVhOGVcew6BgWDeEw0oUIDAkOw7UZkiU//MOJo+cDeu0UwcdIWpqX2RjnOuCM/9xv9igUoU6KMv9VLTIg/NkpO9Ro1KiR3LBhQ36bofCB/VsP82SD5/22npSSyrUrMH1L4Hq6+Iv1izbxyv3jfZqr6RoLzsz02BAyOdHGrg37mD1qHltW7vTpXFdSukop+k3oTsWaZSlUvFCBra0JNk6nQd86z3Bsz8lsjxcvX4w2vVrR9L4G1Lz5uqDZJaXkw7/W8d5KlxOs2UA4RdZUshTZaOEEU0rAplThKJaNfpzdR8/Q5+15JNsdONPkziVCCqxCcG+T2lQtVYwpny5HSJHyqZsq3eZyUDQ7WMwaTpuBdFyRyiZlWpNRAGE30ONsaIaRJiGdQT8BgNIx0Xy2dJgfr5Qiv3HGfYiMezfP62jFf0UzV867QYprFiHERill4J9C5ZFCRSvI+i0HB+Vcq74fli/XRIm6K0KSqjdU5IXPBjK+5wcex6ZFEkRWeemMTRdPHsx9Cld+8Nko33udGE6D9Ys2uVWn+33uKt7rPwNNE34VFHDYHNza4Wa/rXetoOsa0zZPYNLAGfw6eyWG4bor13Wdex+/k0GTe7v60gQZIQTt6tRk8vq1OO0GIhfx8iS7S0mgRvmSzHulO5//upH/Dp+iZvmSdLurERVLpQsR9BszD8OiodklGd0nYYCWIkjgsKfIt5kE0iEzpM8JMCTCbrgkpg2Z3pwng3MD6TGkU8cvkpRkIyzMkssroghZ9LwLrQAY5/uhxSzxy1oKRUiTz004g4FycBQhy52P3Maefw6wYNIvOY65MgIppUQIkXl/ypcVr8+iKh5ynDtxnj3ZNT/NgMliwmHLWYHL3bED244w8YlpJAeg94xu1nm06kDiLyUQVSSC+wfcw/+Gtlf9I7zAEmZh2MwBDJs5gFOHznDq0Bkq1CpH0VKF89WuykWLUqFwYQ6cu4DUUmSis0GmRHEAdE1we+30PlLlShTmxS535DBPsv/omZSmnpl/T7SMjgykqxjowqUyAGl/265UiAx/8zmkT6ZO+OfPPTS7u04OYxQFCek8gbzkpyfRch+GYeTLAwWFQuFf1F+xIqTpN6E7dW6t6d3glET+jFGbjGn/Ayf19rd5fueJ+u5TZ4ZO70evMZ0RWvZOg6ZrNLqnfo7zf56+DLsbBygvnDp4hjNHzpEQm8jpw+eY8eKX3GPpSv+bX+TkoYIRPQsFYiqV5Mbba+e7c5PKtI4dKB4VjjC5YiAZXQeJSwjAMIPTDBazTtHIcJ6+r3m2ayUm2/l53X/MXrqBrQdOMG7aEi7HJWdVhktJPctCSt1P2slTMHSBYdZcuzSBzMmpTnlPMJyB7/GkCA5GwpeAH6XtjaP+W0uhCGGu9hocFcFRhDRCCEZ8PZSHy/XzflI2f1AvfzWY2k1q+M+wAHBszwkun4/P8XjxMkVp06sVABVrlWNM54mZojVCE/R7u7vb2pcLpy7l6ubu/v6t6TDgHkxWM8PbjuP4/lNZrm9YpBV7sgOnI/scpn2bD9LjuqfRdEHpyqWo0agaDw1uR82bq3lthyL/qFqsGH/1e4Kle/bwyvfLSEiwu7waQOqkORzSBPGJTp5p05iYIllFQrYeOMFj78xPU1gDEHaJmfTGodKQ3kX8ZIZ/hXCpqhkgNYHQNVcEJ5sojgCQkh/nrKZmvQqULFMkyxhFwULatvp3Qc17VUOFQhG6qAiOIuRx9yRbZHyiewUms07vcV1Y6pjrtiYlVHiq2ctuj7fu3TLt6ybtGvLT5dkMmfo4N7epT9u+dzB989t0HNTW7RpN2jUkLNLqdkxGln2xkv6NhzNpwHSmrH+DXqM6E10sCgRUrFWWt5a+Qr2WdXJ0bjJiOCXH951ixbzVDG01ihVf+67gpgguuy6c5ZUNv5JocrgiJCaXehoaKcIArnGGGcYtXMG4H37n7OV0Z93pNOgzYR52uzOTprPU052QNGcpJQIrtWw7OYNTZnoymBbQSU0rEoJq1WNc+1K31Hxzp6swZ8u6/Qy4/72ARTMVQUQr7se1KqFpEf5bT6EIZWSQtnxCOTiKAk92To7JrDNtyzs88mLHAlEDEn85gbiL7rtvz33jO15u/yanDp0BQNM07n3sTsb9+CLPfPSEVzVGLTo3pXyNsljCzV7ZlXg5CVuijX9+3UrvWoO57qYqfHNqBkttc5mx9V3qt6pLoaKRnhe6AnuynTe6v8/O9XtzPVcRXJyGQc/F33A+KZGkMCc5fmIJl1NimGDe2i10eHc2xy/Ecik+ifHzfseRXQNfoeHQXQEhqbkcJClBOiVOPS1QRHiYGbNJJyrCChl8pOz+sm9sUIm77q2H0ATCaSAcBsKZ7tykRnbiLiUy+ZVv836BFPmKsNzov7WKz/XbWgqFIn9RMtGKAkFrs/vmnzJjzr4GP8d9gcXq3U18KDDglhfZ60FcIJXo4lF8vm8K4ZFhPp0rOdHG4k+XM3P4lyQl5K6DtzXCwsD3etOmd6u0fT98uIQPBn/qky0mi4n3/xpLtfqVfZqvCDxrjh/msWXfEWe3gQTzGQ3NIbhSMFoiMUwgEgVmm8uX0IXAcEj0RNAcWR0SzSbR7a7ZAuGq8JEgHJLb61fjxpplaVyvEolJDiqVL4bTYdC1x0euSFDaiV3Oi2ZzotmdCKdMFxxI/Vq6zgECEpPT9gmTxsJtr2Myh06TX0XukPYtOM91IkWpIg+YEYVeRo/s5g+zFNcoBUYmukh52eC24MhEr/zp+Xy5JiqCoygQlKtexvOgVAwKlHMjpWTvpoNej489F8fyr/7y+XzWcAsdBtzDW8texRrhfboaQHKCjekvzsmUknbjbdf7rDrksDl4b8B0n+YqgkOCw55BlhnsxVw3khnlBlK/lhYwwmXaraZTSmSGSEwmDJdz48pwEynLi1TPiGcfv5NuD95CjWqlqVenPEUKR1C8eBT9HmuJ1ZJSPmoY6AkO9ESHK0qjaUiT7hIZEAJ04Tp3aupbQhLCSGkEikQ6nDxU72UcXqRYKkIU0w2gX++Hhexg+8MP6ygUilBAOTiKAsF7f47O8VhBj0LOeGlOrvNU1y3alOfz1mp8HQ8NuTfX8y5fiOOXmb9hS3JJTVe5oSK1bqmWYy2UJ/ZsOuD2uC3Zztqf/2HdL/+QcNmPakkKr7i5dHnsRvrTceEQOMJlSo1Myn8aOCNIq8cxUvvMShCOlPoaMv+a59RXR+BySt74OPvu9A91bMTU93tww/VlEXaXs5KhDMiVKqen1+OgaSlNQ1Mdm5T9KamrtmQHXW56BcNQymoFESEEWpE3/LCSDlpZP6yjUBQAJOliLIHe8gnl4CgKBIWLRzPm+8wSylLKzJLQKTS464YgWpZ35r/9U67nuFNKyw1mXyJdEt4f9AkPxTzOym/WAjDux+G06NQEzZT7txR3qm4zX5lL+0I9GPHAW7za4S0eLNWX76csyr3NCp+JtlgZ0aQVYboJXQhXgb8mMCLAGenajAgyfZpICxi6y4kR4FI5u3Jhdw6xgL+3Hmb73hNZDhmGZPonf7D1v+OgpdgDmZ0cTaSfT5DWENT1/RUnlpL4uGQmv6DqLwoqwlSTvN/OmNFUeppCcdWgHBxFgaFJu4YsTv6St5a9Qp9xXWhwZ90sKh0lyhfjjUUv5ZuNueXNnu/7NO9/z7b3y/lvvqc+5jDf0vmSE5KZ0OdDju4+TmThCF7+cggLL37Gd+c+4fVfhqObvKtrKFwiq7MmpeSrNxcwb/z3mSJ0hsPg42FfsG3VTp9sVvjGo9fX59v2j9C1Vj1uKlMGXYj0Kv+MfWkM0FLSzBxRLicHXGOckSliAqlDtfRpGZFIMFy/AwPHzGPga1+TmGRPO/7u5MWsWbcPAM1mZPGTMn0vU54gpqqopTo3UoLT6dpSIjtL5q4j/nJSnq6TIn+QxjkQpfKwQjRakYkIU3W/2aRQhDxKRU2hCB00TaN+y7p0ef4Bxi95lZ/iZvPEhG50GHAPs3ZP4qtDUwtUF+rfv8xdLY3QBPc9cRflc1OT5IYaDatyd7fb0XJoHOoJh8PJ4k9XpH1vsZqJjI6gwZ03UKl2OY9pa7pZp+/rXTPtW/PTBu6NfJRPX/062zlOh5Pv3ldRnGBTt0QM4269m7kdu3Bd8eJZP8QMQJM4Ip04w51ITeIMzzBEczk99nBwmqXL18jg5KRUxbh2pCilJducbN5xhMHj5nP+UgIJCcn8/MuWNJtETumpqQ4NgDMlNS3j+0LGdLVUNEGnOi+y7tdteblMiiDjTFiAcaYZyJM+r6EVX4AWdrcfrVIoFPlNwbkTVCiywRpu5X9D2zPo/T6Uq1Y6v83JFT/mUGOQHbpJ44bbajF6wXM8NaWvX+0Y/OFjPP/ZIJ/mOu1OLpy+lGW/pmm88/so7nvibqwRFjRNEF08imYdbiaycAS6WSeqaCRPvt0jrXnpsb0nmPPGt4zs+DZOu/t6iK2r/mPV9+tVH5N8wKLrzO/ahaebNSVC6JAMJEuMSCfOKAMZLjEiJI5iTpxhhutTJnUTgBlMFo3yZYry8/v9ePnxlBtL6YrcYM/wwSRBGrB19wnue2Iqw8Z8m+mBoNRFtg8IBbgiNw6n62shQNdcqWsZnZ9Mk1yRp1F9ZvCfl4qGivzFMBKQsS/kcRUzGFlTIRWKq53UfmKB3vILU/6dWqG4tvng6U+9Hut0GNzctj5N2jX0ux1CCO7ocivL5/3Fup/+ydXcsEgrt9x7U9r3UkpsSTa2rtpFoaIRPPV+H56+wiFzOg0SLycSER2OpmnEnr/MoCYvc/LAaa/Pe/F0LGO7TCSycAQ9RvyP375chcli4rHXu1K7ac1cvQZF7om0WBjcrCmDmzVlwvI/mbp5HdJEesQu9V+TRAqZLimd8o8WpvP1y90Is5jRTBrmQiaS4+0IJ8gwkA7QU2WlpURLab/z785jaDpoKbU9TqsJk8OeqSeO2azzv25N2bftKBtX7sbIKCxgNYPNjnQ63QYXJwz5nE9Wvuqvy6UIFIlf448cGGG6Lu+2KBSKkEI5OApFPmHkUl1k9sj5VKhRjls73BwQe3qN7JxrB6fqjZW4tcPN/LlgHdOe/yKtCWlGBrzXkwcGtk37Xtc1ooqkNwcdfOuruXJuUjGcksvn4/lgyKy0fUNuH0mxMkX4cP2bFCtdJNdrKnLPsy2bM33339iulEWTYIrN2i8HwKRrbDlyksbVKrBt/0kSbQ6wpDpBAkuyq7ZGItFSgnQCQBMYYRrSJtHtEqEJ7JEm9CQnmlMiBTidTubNXIl0GkhDZj57qqqaB04cOkdykg1rmMWHK6IIFtK4kMcVLIjwBxB6Sb/Yo1AoQgeVoqZQ5APrF+XOkQBw2J18+fqCAFjjIrfNNjVdY8KvI1i/eDPje07J1rkB+HDIZ3zz7o/ZHjuw7QjH9vmeO58d509cpF/9YSTGq4LxYKAJQZ2YKwq87aBd0nCaBMnRYIsCI8PjNInErLsUCGLtyTgiBI5wcFgFUgNDgDPD+CudFGkRGFpKfx1NwxFhwhmuI806Dl3Drms4r3x+kCqMgEDkJICRMkfXNUxeimQo8g8R9mAeZochop5Bi37Nb/YoFAWK1HTdQG/5hHJwFIp8YO6EhT7NO3c8r08s3TNoSm+vx7bo3BSzxcQnL3+FLYPKVXZMe2EOz7QYkaWPzenD2TtFeSX2Qhwr5q0OyNqKrDxSuz4RphQ1PglavIaQwpVuZgHDCrbC4AhzDQkzm7mhQgyPT/mGnzfvSpdy1sFpAYfV1TsnTWY6O0wpqmxCYrIZ6WOFAJOGjLBgmPXMYj6pH7Ymk2tLS6nLHNm5o2Mjr1UAFfmHZq4ElpY+zRVFP0WL7IMQ6uesUFyNKAdHocgHfJU5rt2shp8tyUyrzrciruwTkg3WSCv93uoOwNHdx71ae+ffezOlk4Erxc2b8+UWaUh2/b2Xld+sYVCTl3go5jE6lXmMZ1qM4NMR89j+164C3yA2lHioeh3uqlTN1SfHnhopIV2WOUVO2hEpMYTkmXbNeXzat6w+fARHBDjCM0tKo7saccoMS2VButbWDEBmjfIgAKsJaTWlOy8iPQ0OswnCwiA8DKyWtHPf2Ow6+o95KM/XRBEc9KLTISr39VLyYl+cp5tiJK8MgFUKRehztYsMKAdHoQgy/23c61NdbFiElV6jHva/QRmILBxBZJEIj+OSE5I5svMYyYk2nG4adWbEaTdYMe+vTB3jS5Yvzp2PNPfZXnf8OudPxnadxO6N+7l8Po7Ys3FsX72br974jhfajGXgLS8RdzE+IOd2h2EYnDx4mtjzcUE/d6DQhGDyHe355O6HMNs1BNnX3gAklpQ8t2Qxq48fAx2XI6K5ojypaWki5VfEsGRdQ6b8L+2D010tW4p6mh5mcsnHp8ihZ1JiSxnX49m2TP99OOPnDiI80ur1a1fkL0II9MgeQC77eckEkOcxLgxEOo4GxDaFQpF/KAdHoQgyYx56x6txYRFWwiKthEeFUa1+ZTo/156SFYsH1DZN0+gxohMmiwf9EQnD7n6Nt3p/4HlsBhx2J/KKG9LnZvan7xtdsUZkKOj2Q1DHlphz2pwtyc7B7UeyRJQCidNp8G6/j2hjfYQe1Z+mU8xjPFT6MU4eOuXTevGxCXz9zkKG3T2G9wZM9zqSFkhaVKrCnE4uJ1xm48XLlMCKYQVHtIHdkmGMcKWzSeGq15GANAmc1iva7eiASaR/ern7XUmJ0rVuX58hIztgDbeAxZQeyQEKRYcz5uNedB14F+Wrxfj+4hX5hhACrC18nG3HSJznV3sUipBHBnHLJ8TVnKbRqFEjuWHDhvw2Q6HIRGtzF6/GhUeF0X1kJ6YN+yLT/mYdGjHqm+cCYVoaiz/9nanPzibRi87ulnALtkSbV+vWblKd9/70XNS7Yv4a3uo5BYfd6XFsXjBZTPwc93lA0uSu5Lk7R7Nl5X/ZHpu9ezKlq2Qu1N+3+SCblm+jUNEomj/YmMjo9Mjaof+O8PiNw7KsM/q752h6XyP/Gu4DzT+axonYuExRnDSHJ6UfjkSCFFgvCpcMtGsQeiJodok5PoPvImWGD0pBqegIahQtxsaNB8CQmJKMlCMZxgPCblC0aATzfh6KEIJtmw6xYPZfnD55ibr1K9L6gYZUrVmw+mcpsiKlDefp20Ce820BaztMRSf51yjFNYkQYqOUMv/fhD1QKLq8bNTkqaCca8WyF/PlmigHR6EIMt46OEITWaIdqXQZ/gB9xni3Tl5Yv2gTozq9g8NNQ82I6HBsSXa3Y0wWE5YwM+8uH0XVGyt5PK+UkukvzmHhh0sQmoYtyZbjtQAoWrowF05mbTjqCaEJFiXOcaUv+UBiXBJrf/6HhNgEGtx1I2WucFJS2bvpAANuGZ7j06yI6HBm7ZxEoWJRrFv0Dx8/9zkn959GSpcUMhLvaoYELE760ufX4y/ibTbqvTcl68tNbfaZggS0JLDGibQdWqJrjDlWYsrOvzWgbfNajHqiLUt+28Ybb/0CQqLbjLTUNilAS3ZiMWm8OLojt99R298vURFCGEnLMC4+CyT4toBeG1NJ34RfFIqMFBQHJzq6vGx0i28NvnPL8l+H58s1UX1wFIogcny/9+lI7m7ov35rIb1HPxzwyEPjtjcx5rthvNTujRzHJMQmZrJD0wQR0REM/vAx/vp+PWePnefGlnVo3+9uipcp6tV5hRA8Mb4bDwxqw7ZVO4kuXoh6LWsz5/UFfDnuu0xjOz7Vlt++WuXT66t7a81cOQPxsQnMGbeA5XP/Ij42kaQ4V4RL0wW6SeehIe3oM7ZrlnnbV+9yG6pPiE3kyYYvoOsaZ45mfgrt7vcgC9LlTNVoWM37OQEg0mJh13NDuGHS+yTiQBggUvPTrsAwgdMikRL0BFfdjTSBMwzCz4KemmmYku4ggZ//3knv9rcwZeaKlP45AqdZAykRdomQYLWYeG1sJxo0rhq0163IJ4xTQM4PWDzi/A8pDYRQWfsKRX4ghGgDTMJVmTlDSvnmFceHAo/h+kM/A/SRUh5yt6ZycBSKIPLRc7O9Gmcy6zgczhxvig2ngS3J7qopCDDX3VTF45iM0QXDkMRdjGfcI5NSbvxNnDt5kXv73uHV+ew2B2ePnadIyWhKVSjBHV3TRQh6jXqY7q92YuPSLSTGJ1H31loUL1OUXX/vY8fZy7l+bVv/3Mnct77n7h4tWL9oE6u+XY/ZauKe3q1o0q5BJsfN6XAytMVIjuw6niV1znBKDKeDeRMWUql2ee585LZMx61eFK2fP+EfCfAzx87lu4MDoGsaO54ZzO2zZnDkwiUwZPbCA2awRbu+tBcG8yWJ7nCpqCWWlJgSwRQPejJIDaTJlYHWZ+xcbElJaCLDqkIgLRKSDRyaUM6NB6SU7Px7P7v/2U/Z60rT8I46+R798wVhrk/eSool4MzjGgpFAcM7faCAI1xa7R8AdwNHgb+FEAullDsyDNsENJJSJggh+gNvAW5Vl5SDo1AEkXU/u2/wKYSgdtPq1Gpcne8/WIwzhxoU3aRjCculapCP7Pv3oNt0OXe4bvztnNh/ijGd32XKmtfdjv/+g8XMGjEvLeVNaIJKtcvz1Pt9uKH59QDouk7jtjdlmtd91P946d7XfbLxk5fn8snLczPt2/jrFu569HYGf/hY2r61P//DiYNn3NYFSUMyvucH7Fi7my7PP8CxPSf4+LnPObD9SK7t8pX6reoG7Vze8MPDj9Jw+odguOpuUt0Rl3oZSF1iWA3XczsDDLMg/JSWEvERLhnpMIk5DkzJwpW2JyE2KQmKaCDAclliTsrws9cFTruTCxfiKVo0Mj9edsiTlJDMkDtf4+COdHEKs9XE9L/HUrpS9qmWoYow10VYmyGTf/d9DRGc91OFQpGFxsBeKeV+ACHEXKADkObgSCmXZxi/FujmaVH1uEKhCCKebsBr3XIdE/8YQ6dn2rl9kvroKx2DUhgPeJ1W5hYJ+7cc5vSRszkOWfnNWma+9BUJsYlp9TzSkBzcdoRnW42mtaUL3a8bxJ7NB7LMbXBHXWo08l/UIjnBxrIvVnJoR7p87O6N+9JS0jzx49RlPFplIM+3Hsu+LYcwvJTSzjMCIgt5lvkOJkXDw1nRsy/S6nIMZZrcgERqBkaE4XrUJgAdZLgkudiV18uVhpbq3Lh2CZfssxDYCok0ielUNEDX1UdcTnzw7OeZnBsAe7KDXvVfzCeL8oZW5APQrvN5vrS5f/ikUFxtCCmDsgElhBAbMmxPXGFKOSDjU8CjKftyoi+wyNPrU+/+CkWQuHTeQwqVgJ6jOgNQvGwx+r7eFbM161PFBwe35dGXgteIsHKdClkUvnzBYXOQEJuY4/E5474lOSE55wUknDp0loE3D2f+uz9mOiSE4NLZ2DzbmBFboo21P21M+750pVJ+ka8OJDN3TMxvE7KlYuEifNv5UawxAgobiKJOsEiMsGwcfgHOQhJbtANHhOFyhwToNtKuf3Y/BkdYhjowu0Ht68sSHR0ekNdzNfD712uzP2DA401y3zgzvxHCnAepaDASvvSjNQqFIgNnpZSNMmzTrjie3Vt6tk+DhRDdgEbABE8nVSlqCkWQmD/hR7fHX537DA3uvCHt+wefvpeb7riB37/8k4S4JG5uXY+b29ZH13U3qwSGd38fSbfrnsoxZc5bYt3UyZw97n0NyvQX5lC2agy3PtA4bd+Vxfn+4POx39Dp2fboukahYlH5qunvjsp1K/D2ryOILl4ov03JkQalyrHlkcGsO3mEJKeDr7dsY8mxPdl/tAmJvTiAE2GAflFguizQk7XsfUwhMEyuyJBJCkoVjWL4qx0C+XIKPE5HzlHFI7tOYBhGgavHEabyPv+JSvt2v9qiUIQ0+dyj5gqOAhUyfF8eyNLYTQhxF/Ay0EJK6eZpqIuC9e6lUBRglny2PMdjmq5x24O3ZNlfpW4F+r7+CE9N7kOT+xrmi3MDrojS7N2TqZmHNDCz1eQ2RS23a3/wzKxM3ztt/u+ZY0u082SD55FS8skrX/l9/SsxWUwUL1vE47jKdcqz1D43bZu2aUJIOzepmDWd5mUrc1eF63jmlmY5f8CKlE0DaTZwlrET1yQZR1T2N+USlzR0s0ZVGDu8A3PmDiQmpnCAXsXVQViUe+GLPo1fCZIl/kMLawv4KLzi3I+UIVJ1rVBcW/wNVBdCVBFCWIAuQCbddiHETcDHwP1SytPeLKocHIUiSFw6k3P0olp9z71h8puS5Yvz/ppxLLz0GQvOzKTi9e5SZLMiNM2tIlvfcV1zpQp39uh57Bl67+imwLydHdpxlClPf8KxvScDsn4aAnqO+h9fHpzKUvtc3lr6Kro5+9dkDfesyhbqXF+iFDWKFc/GyUnZIUCYnJgiHehWA2GWOCo4MEyZp6SKFZQpW5Q3R3aiWfMaAftduJp4AjVzRgAAIABJREFUemKPnA8Kwcn9Z3A48iC9nA8IvQRa4YmAldwnqDgxbOsDYJVCEYrIlAbKQdg8WSKlAxgELAH+A76WUm4XQowRQtyfMmwCEAXMF0JsFkJ4bFylPgUUihDg5P7TxF2Mz28zvCIswkpUkUg+/PtNz4MzYEuyUaJC8RyPV6tfmcl/jaVaPe+cPZPFhMmcHtFq0blZjmNf+uJpV6Tj37e5p1cLdEvuImGLZv7uk0KbtxQvV4QFZ2by8LAOaeIR9VrWpkTZrNcrLMJKm76tAmZLMFnSqTe1i5UgPV8is+uihzkRLh0BhABHSSfSAoYZDM0VtZEmcFpg4lMqJS033NG5KVyZgiZE+j5N0O+2McE3LI9o4fegl1qLVvgdMDX3PCED8kJPDPv+AFmmUChyQkr5i5SyhpSympRyXMq+EVLKhSlf3yWljJFS1k/Z7ne/onJwFIqgsMaDPHR8bCJfvfk9UkrvOtaHABarmac+7OP9BAkvtXUvE13lhopM3TCeeUc/4ukpfd2O1bTM1RjPzexPlboVM48xaUxcOZqWD7ucn8q1y/Ps9P4sip/DRxvHM2xmf9r0bunRdHfS0HkhLCqMAe/1YvbuKUQVzixnLIRg5PyhRBWJJDwqDJNFxxphpcFdN9Cm19Xh4GhCsOih3qx9+EnKREalHxAgTFnThaRVklg9GWkGIwwMC0gdhBP6T/qWg8f9X4d1NfPWL8NA19M3TXM5OSYdYTJx/MBZDKPgpW0JrRDCcgs4/s7lTCfGuXZI6Z1aokJRkBEyOFv+vb4CcjPlC40aNZIbNmzIbzMUCrpU6Mf5k5fcjtFNWlrhrzXCQr8J3Wn3+F1Bk4P2BSklb/SYzIq5a7yes8T2Fcf3ncIabqFEuWI5jvtp2jImD5zpdq0Jv75KvRZ1Mu3bvXE/q75fT9mqMbTqcqtXaW9xl+LpFPMYhjP790Oz1Yw92e5xHXeYLCYeHNKO3mM6c/rwOcKjwihSMtrjvMT4JFb/sIELpy5yQ/PrqXlz/jfxDASGlHy8bR1vrv8DcDk4qRGcjEgJJIP5nInwnVaQrid1EomQgsmDOnBrPdXg01vuKzcQR6Itpe5JgNmMSI3iGAYlyhbm843uH0yEIkbClxixrwM+OCuRT2EqNNjvNimufoQQG6WUjfLbDk9EFyonGzcYGJRz/bby5Xy5JsrBUSiCQGtzF5/mlShXlDkHPgxpJwdg8afLebffx7lWZdF0QeueLek3oTuR0en9Ww7tOMqAxi9iT3ZfAxBTqSTvLB9JqQolfDE7ExfPxtK57BPZvobWPVvwx/w1JCfYfF6/SMlovjryUUB6sxzZdZzNy7cRVTSKpu0bEhZRcGt0dl84TZsfZuHEiSk8ewfHcAjMyVBobeaePxJJtNnCig8GBdHigs3RA6d4vMkoEBqk/m6mXvSUHPpFx6fkm32+YsTPxrg8HvAotpQNOnrMNtX8U5FrlIOTlfxycFSKmkIRwpw9doH3+k/PbzM80qZ3KzoOapvreYZTsviT5fStO5SEOFePHKfDyYL3F3mVFnb6yFmGthyF05H3FDKzxZSjg7Z7w35e+GwQleqU97iOyZJ9cXNyko29/2RtUpodiXFJrPpuPX8uWEd8bEKO46SUjOr0Do/d8CzvP/UJb3SbzEOl+rJ9zS6vzhOK1Chaiv29nuejOzoSJkxZa1YNV7AhbF/WyJxAcNlm5/ylglHPFgqUrxKD0PV0ue6MHmVK8dPwLu/ni215QYTdie86uE5k8u/+NEehCD1CRGQgUCgHR6EIcX79fGV+m+AVKxfk0DjQC86fuMgDRXvTJuwR2oY/yqIZv3lV1C8NyeUL8WxctsXnc6ey6betOR47uP0IY7u+x5Gdxz0qdDls2UedpJRZohHZsezzP3iwVF/Gdp3I690m07lcP1Z+k/XaHtl9jEerDGT1D39nqtuyJzt44Z5xOJ0Fr3YiI20r1mJ75xd5td5dCFyOjeEUCAHhhzVMZ3JWyQpElOxqZuSsfulKDlciBJtX7Q6+UXlE6OUQUUN8X8Cxz3/GKBSKoKMafSoUAebyhbg8zXf4IToRDOLO5/2pueHDTbnT4eTkwTM+n/PC6UsMu3M0h3dm6SuWCcNNY8RUdJOeczRJQjU3MtkA+/49yIQ+U9N3OJ047U5e7zaZI7uPU6l2OcpWK8OCyb+wdNaKHNexJdrY/Ps2Gt59o0ebQ51etZrQq1YT1p/dz7it33Mk8SzOQuEgJFKKzI0/paRcdCEKR4Xnl7kFkltapzQYljJ7JwdBUkJygUt91KOewOk8iUz8Esid5LUUnuvjFIoCiwRRsJ+BeUQ5OApFgEmITczT/PLVy/jJksASER1OcqLvNSq+oglBjYa+FZVLKel9/RDffkbCpSTndDi5/pbqPD7+UZ69Y3SOw01m3WNk4f2nPsl2v+E0+Gzk17ky78zRq0tRrHGJqvzQaii7Yo/xaenlrOIECdv0lJQ1ARLCdRNTX/hfwG05uP0IF09fonqDqmgmjdizl1kyawVb//yPSnXK88CgtgXm7zaV5u1vYtXP/+Z4fMbrCxk0NvDX1t9o0a9gCB2Z8AXgvVCITPwFGfFoyNc/KhSK7FEOjkIRYH6atszt8eJli3LxTCzOHGpOXv6qYKj5tPhfU76fsjio57SEm7m+SXWflcV+/+ovnx1QIQRTN46nVIUSWMMt2JLtGG7S6hIue1ZzOrj9iE+2ZEeTdg38tlYoUTO6HG826AYpL++X1TvYvOsYdarE0O62upgCmJ527sQFXr7vTY7uPoHQBEnxSVnKPDYv384vM37njZ+HU69lnewXCkFe/rgvbcs/nePxnz9bRd+X2hMeERZEq/KOEBp69MvIqMHI5GUYcR+Dc6/niY71OE83RBRbgKYXQWhFAm+sQhFMrmKRMVA1OApFwPl6wo9uj8dfSmDwh49x35N3UzSmcIpcK5SrXoapG8ZT9QbvGl/mN91HdEILUgf58EJhlKpYgi4vPMBrC1/w+SnrtlX/+WxDoaJRlK9eJk2GWtc1ootF5Ti+dJVS2e43DIOls/9gQOPhJMX5p/9GhZplKVKqsF/WCnXubVabl3rfTYeWNwbUuQEY2XECB7cdJjkh2fWzyuH+wJ5k582eHxSYnlapDJvUPfsDKX9fnW98mUO7TwbRIv8htCi08I6YSi5GKzo3x3FSSpzScG3GRZxn78R26hZsp+/GsG0MosUKhSIvKAdHoQgwnm5y7MkOYs9e5un3+zLv6Mcstc1lqW0un+6YSLV6BcO5AdcN/3t/jKFoTDRCC2xaR91ba/HFvil0e/khLFbfpVxrNPK9p0ynoe0yOVZzxi0g9nzO9VaDP3ws2/3je0xh8sAZ7N10wG0EKDcMej8XDVgVXnF830kObjuS1qvKE2ePnuPiafe9r0KNVg82ShcbyLgBCIHD5uDJu97k2QcnFcgGoKkIvaTXYyUSsCOd+7Cf64ph2xk4wxSKYCKDtOUTysFRKPIZS5iZojFXR/pDrcbXMffIxwya3BsC6OOER/knTebu7rdjjfDcCDQ7fvxoGQ57euHyN+/9nKMQQZUbK3JTq7pZ9u/fcojVCzdgS8pbE9FMCKjXorb/1lMAcPl8HLpZz9UcawEryhdCZB+FTXPkXf/u2HCAt5+ZEzzD/IwwVQIR6cNMB/Zz9+FMXOR3mxQKhX9RDo5CEUBsyZ6L7nWTTvMHGwfBmuDgsDv5aOjsgD25sUZYufexO/2ylslsYtrmtylVMfeNQs8cOceQ20dy7sQFALfpZcf3ZZ/Ws23VTr+nMY394QU0Tb21+5sqN1T0Sro8I4d3+q+mKlg883bX9MiNntL8UxOuLcNDi+XfbcTpLBgKj9mhRb/GlU9hvPtbNHBcHIwzSfXJURRshJRB2fIL9SmoUASQY7tPuD1utpqYsOxVwiMLVuGuO3at34s9h14wVxIWYcVsNdO2Tyva9GnFjbdfT7HSOUezzFYTHZ9qQ4M7b/CXuZSpUoov9k1hwZmZfLJ9IgMn9eb+/q2JKur5Ce/uDft4vN5zbptxAhh2I9ubpyKlCuc6KpAF4XL6WvdswYKzM2nc9qa8rafIFkuYhQHv9cpVxO/pZiMCaFFguOuhlIctWnpqWuYtfezmvwpef5xUtPD7kaYGSCnTNgDDqyczDhyxYwNroEKhyBNKRU2hCCD7thxye/zxNx+lWv3KwTEmSOgm727YdZPGkI+foOFdN1C4ROaeEwlxifwy7TfW/rIRW4KNMtViqNOsJk3aNfQp2uINUUUiiSoSSfkaLnnf6g2r8u7jH3t8qht3IZ5uVQe5HeN0ONmxZjd1mtXMtL/JfQ0wW0z4KiRuspgoUjKaiX+MJqaS93UFCt9o07sVFWuV4+u3F7J64d9ID2Uo0pCM7PQOg6f0deu4hxrCrCGd2fTESf0+5W/izPGCVWOUBWtLDPvfvs11HsQwnGhaHh9QKBT5RQETQcktysFRKPKRgnTT4y01bq6G0ITHdJ4ipaK5o8ut2R6LiAqn09D76DT0vkCY6JZLZ2OZ0GcqG5Zs9jp9LP6ShwiOIdn1974sDo4lzMKEZSMY0XECp4+cdV0zgVfpfeYwM8989DitHr7Vo1MppWTHmt2s++UfwqLCaPXwrZTJQdVN4Z7aTWsw6tvnSE5MZsJjH/HH3NVux6/+bj071+5mxtZ3KFQ0Z5W9UKJDz9v4/pOVbsfoZo3KNQtWr58rMUV0xBb3LuBbqp39zANYY9yrZCoUivxBOTgKRQDRdPc3niXKFQ+SJcFD1zVemDWAN3t84HbcueMXsdscmC2h8zZkGAaP13uOi6dj/b52dIlC2e6vckNFZu+ZzKEdRzn83zEQUO3GSpSoUJxVC9axd9MBisYUYdPy7fy7fBtSQuU65Xl2+pNcd1MVj+eVUvL2Yx+x8pu1JCcmo+kan4+eT8+Rneny4gP+fpnXDNZwK6/MGUz/d3vSpWw/t2MvnYnl+/cX031EpyBZlzceefqenB0cIUBIqterSM36FYNrmJ8Remn0whNxXhoC+KAKZ2zHdvEtLEWe97ttCkVAkfj0K1+QCJ07C4XiKsTpcP9ksOx1MUGyJLjc0fU2dm7Yz/eT3asNHd5xNOgpeonxSRzddYJipQtTvGyxtP0nD56mf6MXPUZjfOUWN403hRBUrlOBynUqZNp/5yO3cecjtwHQ+bn7SU604bA7iIyOyGT3B0NmsXHZFswWE3c+ehuPv/lomtLcxl+38Oe3a0lOSAZIU3r75NW5fDvpZ2btnkRkoQgUvlE8pgh1b7uebX/m3FPJ6TCYPXo+B3ccYfjnT2Eyh/ZHb6EiEVnT0zIgTCbe+KK/z/2nQglTxH1o1ttxxL6MTPo51/Nl4kfIQr0QuoqIKhShhBIZUCgCSNP2Dd0eD7uKxAWuZMA7PZmydlzOAwQUctMYMxDMf/cnOpd9gmF3j6FHzcG8dN8bbPtrJ6M7v0uPGk8HzLmp36oOhYr4IkubGWu4JZNzE38pgaeavszfizbhsDlIjEti8afLeeGesWnpdSvmrSYpPjnb9S6dvUyP6jl3r1d4x7vLRyJ0zzf7K+evpV1kd/ZuPhAEq/JGsVLR2ewVIDSklIQVMAlsd2h6NJai72Mq/g2+3BbZzrRHyoKrKKe49hAER0FNqagpFFcpGW9Gs2PKM7M4e+x8kKwJPjUaVqPDwHuyPVazUbWACQZkx6KZvzNz+BySE2wkxCZiT7KzYcm/DG05ir++Wx/QhmQDJvbEYXf4vTni0tl/kJSQnKlBqMPmYOf6vfSo/hSLZvxG/MUEtz2JLp+LY/fGfX6161pDCEHzDjd7NdZwGgxpPiLkG2WOmNabVIcmfUsVGYBDe7KXPi/I6JYGWErvQkS9lLuJ8gy2k7Ww27N/kKBQKIKPcnAUigDiKYVj6SfLeaTKAHpdP5i3+nzI4Z3HgmRZ8Bj4Xm8eHHwvQhNomkA3aVRvUIUx3w0L+LlPHTrD4lnLGdpqFBOfnJbJEQgmT9R/nnsjutG+cE8mDZhBUoJ/boT2/LOf5ITsey2dOnSWif2n89cPf3t03ib0neoXe65lbn3AOwcHIDnRxpaVOae0hQI1bqyYs2MsBPM+/M3vPZxCASF0LIUeQ1ia5XKmE+Ps9dhs7pUzFQpFcAjtRGCF4ipA0wWG082NgITje09x8sAZVi1Yx9u/jaRGw6rBMzAIPPl2D7q98hB7Nx+kWEwRKl5fLqDnO3vsPM+0GMmpQ2cCep7cYk+ys+zzPzh1+Ayv/zQ8z+tVrVcZy7drsSXa87TOoe1H2bR8Gze1qptnm65VKtQqn6vxuzfso37LOgGyJu8IIbBYzdiSHdk6Ost/2MSaZdt59u0uNG9zIwDxsYnMe38p63/bRumKJegxrB1V6+TuuoQK5qIfYjv7EDhzF92U51phFJuLZr16mjcrrlKuwgcUGVERHIUiwGhe9oUxnAZJ8cl89OzsAFuUP0QViaR+yzoBd27sNgd96w4NOecmFVuSnS0r/+PYnpybwJ7Yf4oNS/91+xrsNgc33VEXW1LenJtUZg7/0i/rXKtUrlvB86AMRPmhJivQtGhfz+XcXNnsM4WkBBvjBsxmRJ8ZnDh4lofrvcT8acs5tO8M65b/x8C2E1gyd03+vYA8ILRoLCW+Acy5mieR2M53IflEDZKTfe1wpVAo8oqK4CgUASYyOpxLZy57PX7n+j0BtObqZ/lXq0iMS8pvM9xitpg4tvck5apn7iNiS7Ixtst7/PPbVqQhsdscmScKiCgUTuEShTh58IzHXkO5Yfc/+zEMA01Tz718wWI1U75GGY7uztlxzciVinmhyKWLbm7QM/Rr2rByFwPajMdpZG0OOunFedzVqbHXDYBDCaEVTpGRfgpvi/RESrhLYofztUmOHI01ukcArVQofERFcBQKRV6o0SB36WYF4cluKLPmx415mh8RHY5mCuxbY2JcEqUqZRVYmP7CHP75bSu2JHtW5wZAQkJsIif2n/arc5O69oiOE/y7phfExcbTq/ZgWpu7cE9YVyY/NTPoNviL8UtfwWT2fCNfrkZprm9SPQgW5Y3jh85mfyAtmuP6VhqSpER7VmlpIZAS9mw5HFhDA4gp4l7MJX9FmOrjeiZsAjy/R6c5OvEjkUZ8QG1UKBRZUQ6OQhFgnv98kNdjNV3jwcH3BtCaq5/CJbOTt80eszU9iC10Qb+3u/P9uU/5YM3rVK5bAZPFhKZr6H52eKSUTOw3LVORtpSSxZ8u91vKmS+sX7SJ8ycvBOVcToeTj1/4nAeL9+X4nlMASKfkp4+W0drcJSg2+JtSFUrw4hdPeRx3Yv9petYczB/zQzt9q3T5Yjn3w5HSa+XBgh4V1ExVsJRcgLXM7pRtK5B9496MpDo5toujAmugQpFbUht9BmPLJ0LqXUcIMU8IsTllOyiE2Jyyv7IQIjHDsY/y21aFwlsKFy3kVqY3Iyazzv+euz+wBl3FnDp0xmuFsmYPNOLH2Nm8v3ocE1eM5ufLn/PQ4HYAVKtfmWmbJvDVoQ/59tQMFiV+ybR/3yIsKmvvj+JlimIJM7ucJS9/ztKQHNh6mJ3r9qbvkxJbUvaKaEFDQpcK/Wkb/gj//L4tYKc5uOMoXSo8ybfv5txY8YHiPQN2/kDSpJ373lfgarZ6Yt8pxnZ5j/sKdWfe2wtDUpGs0e01cj6Y6vgI3P/eC0H1ehX9aVZIYC3zL0Q859VYadsQYGsUCsWVhFQNjpTy4dSvhRDvAJcyHN4npawffKsUirzz3p+vMaT5qx7HVahZFl0PqecOBYYT+08xoPHwHJtaXsnq7zdwZNdxat5cLccxhUukR4Mq167ID+dnsW/zQU4eOkOpiiWoUrciZouJU4fOEHsujoq1y3F/4Z5ep48d3HEkLVVJ0zRqNKzGrg3535PG6TB48Z6x3N+/NYMm9/Hr2rs27GPwra94lOxOiE1m7S8baHJvI7+eP9BYwy2UrlySkwe9E7lITrAxe+TX2BJsdB/RKcDW5Y7W/7uFj177MecBqY6NEKBpYBiZIz5S8kCf2z3K5RdUrIUHYBTqhf1MT6SxIS1icyXC0iLIlikUnsnPJpzBICTvpITr3bAz8FV+26JQ+IPat1RHaJ4/5Ns/2ToI1lydfDZ6PomXE3E6vO8o/sr943N1DiEE191UheYPNKZGg6qYLa5nRDGVSlK9QRWsYRZKlCvm7WJUqFE2066npvT16vckWCycupQv3/jOb317AMb8712v+xGNeOBtv503mIz7OXcS4LYkO3PHf5993VU+Eh5hzaqgdoWSWtrXuu7aJCnFy5JuQ9vSb+SD+WF60NC0CKwx8xFEI1P+A9K+lggshfvns5UKxbVHSDo4wG3AKSllRjmpKkKITUKIP4QQt+U0UQjxhBBigxBiw5kzoSkTq7g2GTSpt8cxO9fv9ThGkT3/rtie60aep7x8yp4bBk3u7TFVzWQxUa5aDHVurZlpf42GVRn304t+tykvzBoxj751h3Lh9CXPg73gzNFz3g+WMPXZWX45bzCpWKscs/dMJrq45zqNVGxJdmLPea+2GCzqNamWvdpSatQm9WshXA6OxQxmM5jMOPMx/z7YWMv8izA9CIgMTo4ZS7FvEXpM/hqnUGSHlMHZ8omgOzhCiF+FENuy2TpkGNaVzNGbE0BFKeVNwFDgSyFEtpXEUsppUspGUspGJUuWDNwLUShySfsnW1OyvPun+4s/Xc7R/SeDZNHVRZFShfPbBACa3teIQZP6YLaaMZl1dJNOhVplqdOsBkITmMw6tz90CxN+HZFt6k6ju+sxc/u7XN+kOpruOi50gclqolTFElSoVZab29Znwq+vUrpKKbQrUxo9vKv7ohB35sg5RnfKezTFlzqT7yYvxjAK3p2yYUgcuYzIxF1MCJA1vnNft2ZZIzaeUs5Sjp86dj6AloUe1pLvEFZmP9aYLVhLbSC8zG506035bZZCcU0S9BocKeVd7o4LIUzAg0BapaaUMhlITvl6oxBiH1ADUJV7igLFrF2Tebh8P+Iu5Cwb2qfmEJbYvrpq89YDxcPD7md8rw9w2r1PUQN4uf2btOzcjFZdmmEy++ct8f7+rbmnV0v2bzlE4RKFKFutNACGYSCE8PizrVCjLJP+fM3jeT7aOJ4ls1aw9ueNWMIs3NOzJT99vJR/fsteIKDB3TdQomwxls9bja5r6LpO65638937iz2ea8eaPcTHxhMZ7buMuRCCIqWiuXg6NlfznmjwPDM2F6x0tZEPTiDhcu4aPR7cdphKAW6EmxucToO1v+1I35Fdapob6je9LgBWhT5C8z5yp1DkD/kbXQkGItSUW4QQbYDhUsoWGfaVBM5LKZ1CiKrAn8ANUkq3j4caNWokN2xQPpAitNj370H6N3KfhiR0WJI0N0gWXT082fB59vvQc8MaYaVoTGFKlC1K8XLF6DioLbWbulGQCmH+/WM7r9w/nuSEzIpsFa8vx4wt7wAQH5tA7NnLlKxQHJPZxHcfLGLqkM88rt20fUNGLxiWJ/s2r9jGi21ex8hl/tIviXMwFZBmkfGXEuhYvE+uIlaaLpj4x5iQ+r2bP/0P5kz5leRED+p+V75OKdE0wXdbx2GxmgNnoEIRYgghNkopQ14ZpXBEGdn0ur5BOdeSrePy5ZqEYg1OF7KKC9wObBFC/At8AzzpyblRKEKVavUqU7JicbdjpBNam7vgcIRW0XEoc2DrYY7sOu7T3OSEZE4eOM22v3bxx9drGNb6NT4f+02BTI2q16IOQz56gujihbBGWDBbTbTqcitT1r6eNiYyOoIyVWPSIlYdB7bly0MfZiuDnZEju327vhmp37IuH6x7g1va3oQl3Pub30cqF6xC7dw+PCxbLfSaf/44ZzXJ3vZlyphzL+CDH59Rzo1CEaqkioGoGpzgIaXsJaX86Ip930op60gp60kpG0gp3ehWKhShz7RN3nWMvze8G4d3HguwNVcHSz5bgdPhH4fEnmTn89Hf0Mb6CJ3KPM7c8d97foodQtzZtTnzjn3MjC3v8PXxaQz//CnCItw7LyXKFuOH87PcCiQ0buOfeoJq9Srx2sIXqFDT+3Ssi6di2bpmp1/OH2giC0cQHhXm/QQB9w9oHXJpqQlxXqrnCYFm1qhWpxxdB93Fd1vGUblmmcAap1AoFG4IOQdHobgWiIyO4OZ76nk19vF6zwbYmquD+NjEXKc9eUPs2ct88spcOsU8xqblgWt+6W90XSOmUkkioyO8niOEoG3vVjke7zm6sz9MS6PurTUxmb1PO3u2xSi/nj+QNGzt3d83ABI+fWVe/jd6vYKbmlVH07wQFQD6v/IAU34YQo8h9xAWbgmCdQqFIk8YQdryCeXgKBT5xLifhhNdIsrjOGm46nYU7rm1QyPCIt1HKfJCcqKNUQ++TWJcUsDOEQo8NaUvN91ZN9M+k8XE1A1vEB6Zi6iEF/zv2fZYI6yum2hvkPDbvD/9akOgaNs3Z0cxO2xJdvb8cyBA1vhGn2FtiIgKc/V7cuPkFC4WSbtHmgTRMoVCoXBPyIkM+BMlMqAoCLS2dAEPf4YVapWj95iHcdgdNLjrRqKLeXaMrjUMw2BExwls+WMHSfHJrnQfATKXvXHcERZp5ZmP+9Hq4WZ+WzOQrJi/molPTicxNhEElKkWw3X1KtOmTytubl3f7dwLpy6yf8shYiqXonz1wKUbHdt7klkj5rF5xXaii0dx6tAZbInu6z6W2kNfgMMwDO4xd83VnNpNa/DaD8/nqn9OoLlw9jILP1/Nf5sOo2mwac2+THn1tepXYPwXT2KxBF2UVaEIOQqMyEB4Gdm0ap+gnGvJjtfz5ZooB0ehyGcMw6CN9RGP40wWHYfNJYFcvmYZPt70FmazKuLNiNNpsGbhBlZ+s4awqDBWfL2aJG/rCLzAEmZm4Hu9adv3Dr8YGncpAAAfiElEQVStGSiWfbGSCb0/zPG4pguenzWQO7o0D6JVnklOttE+qofbMZ2evY8n3uwWJIt8Z9LAGfz00bJczalWrzJTN74ZcvU4GTmy7xQgqFCtVH6bolCEFAXJwWlWxXPzcX+w+L83lIqaQnEtomkaS+1zMXtQlEp1bgCO7jpBu4juvPbIRDb+uoUD245kO2f7ml0822oUD5fvx7N3jGb3P/v9anuooesazTs25qU5gxn6cT/Cwv2bsiYlNGx9o1/XDBSTB8xwe9xwSsb3/IC/fvg7SBZ5h9Vq4Y5HbnU75pt3fgqSNXnj6Sl9ua5+pVzNObD1EOt++SdAFvmHCtVilHOjUChCGuXgKBQhwoJTM3M958/56xje9nWevHkYfW8Yyrnj6erpv321imdbjWbrqp1cOHWJrX/+x6BbXuKXGb/50+yQpt3jbvsK5wrdpNHlhQ6UqlDCb2sGCluSzSvVN2lIZo0IvXSvFz97yuOYPZtDq14lO4QQTFo9jvBC3jvahiGZ+MS0XMtMKxQKRa5QMtEKhSIYWMMtNG7rmwyvdMCRncfpWmkAb/X5ELvNzuQBM7JVFZs8aCaJ8Vd3oXwq3UZ0otoVT9CFELwydwivLXw+6wQB1epXQr9C2at6gyq88/sour/aKZDm+o0RHb2TIQc4vv90AC3xnes9NLx8/u7XgmRJ3rBYzcw7Ng1zLnrCXD4fx/a/dgXQKoVCobi6UVWBCkUIMXbhCwy/93U2Ltvi8xq/fr6Sy+djc3yCLw3J5uXbaXpfQ5/PUVDQdY2pf4/n3z+28/tXf1G8TFE6Db2PiELhAMw58AHfvb+Inev2UKlOBToNaUe56mWQUnL68FmEEJSqGPoRm4ys+Wkj//y61evxZavFBNAa35m0cgytzV1yPB5/MSGI1uSN8MgwXp33DCM6vuVRUATAYXdy+ui5wBumUCiuTSTgRwGeUEQ5OApFiPHGLy+RnGRj76YDlKkSw9fvLGTBe7/kao11P2/O+aBw3fhfS9RrUYd6Lepk2V+yfHGeGJ+1WF0IQUylksEwze9MHfpZrsb3e6t7gCzJO5Zws1tFteP7TlK2WukgWuQ7Tds3pG3fO1g043ePY6WUlLsuNB1PhUKhKAhcW3c5CkUBwRpmoU7TmhQrXYQnJ/Sgyf3+i7aYLSbqt8p6s68o2BzYdph2hbpz8oB3KWcmi85LXz5No9w0pAwihmEQXsh93503e04JkjX+YeB7vdG8fLhQpW7FAFujUCiuXYJUf6NqcBQKhTvGfDuMF78Y5Je1ug5/ID/fcxQBwDAM+t30PPYk9/1jUilduSS/xM+h5f9Ct5/P9tW7SLzsXuJ757q9QbLGP1jDLfQe+7BXY4W3zU8VCoVCkQXl4CgUBYQ7Hm7OUvtcKtctn6d1Phs5nwdL9WH68DlsWr4Nh93hJwsV+cWsV3OnhNZ/Yq/AGOJHLp29jN3m2WFLTvJfn6Ng8PCwDllELLJjxvCvgmCNQqG4ZlERHIVCEUpM2/Q231/8lOgSUT6vYU9yMP/tH3nxnrG0i+pOa0sX2kY8yoOl+tK37lA+Gz2f+EsFp4j7Wuf3uau9HhtZJIIm7RoE0Br/UKdpDaTT84fj232mBsEa/yGEYNxPL3gct/DDxUGwRqFQKK5OlIOjUBRAIiLD+ebEDOYc+ICYyr6rfEnpUlVDgtPuJO5CPEd2HeerN76jT92hXDxzyY9WKwKB3eYg7mKcV2OjikQy9e83ESL005+KxhShdBXPzSQ3/ua9Ylyo0PCuehQuXsjtGIfNyeGdx4JkkUKhuOZQERyFQhGqlCxfnM/3TGHG1reJLBLht3UNp8GFkxd5tMpAtq9W/ThClS0rd/BwuX4kxLrva1SzcTXG/TScb0/PoHTlgtOBvv87PTyOkQVU6vTrk9M81tn0rTM0SNYoFArF1YVycBSKq4CKtcrz3ZlPmL1nMoVLuH8ynBvsyQ5GdJyg6nRCkPjYBF7t8BZxF+M9jj20/Sj1WtYuEJGbjNS/oy54MFnKrM1sCwKapvHNqekex/04bWkQrFEoFNcUqX1wgrHlE8rBUSiuIkpXLsX8E9P55tR0ipct4pc1L5+P496IboztOonkpOybh7rjv7V7GNTkJdpH96BLxf4snLrEL3Zd6/z1/d9IL8P/SfHJ/PbFnwG2yP8smbXCY2NMT0proUx0sUI88VbWPkwZmdx/ZpCsUSgUiqsH5eAoFFch0cUK8dWhj1h46TMq1a3glzVXfrOG9oV60NrchREPvkV8rGcRgq2r/uOZliPZvXE/yYk2zp+4wJSnP+W1Lu/5xaZrmTNHzmJP9k4WGmDik9PYtmpnAC3yL4tn/b+9Ow+Psrz6OP49SUiCYEUREFndEHEBFcUX9yqKlqrYWqFarRuuqLVWVLQuta2KSxUXRHFBWZQKiohsLqBWZFd2iCiCQRBlX7LNef+YB64EMkkGJvMkk9/nunIxcz/bmZt7ZnJyL88n9PvrwHL3q65D1Lb5/W1dyt2n31/ju3mriEjZHDySnJ+QKMERSWHZe2Tx4sw+jNo4kCaHJO6O75Pfm0HX+ldyVq1udM7uzr0XPMpbj73LtPFflehVePiyZ4gU7fwB9+nbk1m2MP4J1Plb8/lw8Ge8dNcgxr32CVs3V9+/3u+O9/qNY/C/RlBUGN+Xx5PXlz8kqioY9dIEnujRr9S2k2rMjD3r1ylzn7f/MzpJ0YiIpAar6BCH6qh9+/Y+bdq0sMMQqTLcnadu6M/olz6u1Otk1cmkycGNWfLV0pj7pGek8ecHL+YPt59Xobkhv/y4lps79mbDmk1s2biVrD0yqb1nbZ753z9p2HzXV5Krbn5YvIKr295OUUHRLh0/riC+e+Yk27zJi7j15L/HdUxVf03lKSws5JysS8rcZ3zRm0mKRkR2lZlNd/f2YcdRnr2yGnnH/cv+zEmUMd89GUqdqAdHpAYxM259/lrG5g/htG6Vdxf7vE35ZSY3AEWFEQbcPYRuza9nypiZ5Z6z318H8vOKtWzZGF0xLG9zPmtXruP69r1Yvig3IXFXB28+9u4uJzcAI575IIHRJN4///hU2CEkXUZGBgcd2zLsMESkJtEy0SKSasyMu1+/mXEFQ+kz/h7q7FU7tFjW/LiWe377CD079mb6+K9jTpz/38ipFBXu/Iv9hjWb6HH0HbzzzBgmvDGJkc+NTen7h3zy5hcxtzVt1Zg99yl7uFP/v71BJFJ1h379tOznsEMIRb8pj8Tc1qz1/kmMRESk+ssIOwARCVfb045gxOpXKCoq4uXeQ5k8ejo/LPox6fMfFk79hrvO/df253X3rsOl9/6OY884ihZtmpKWHvvvMYX5hTz3l1exNCMjMx2zNDpdego3P3tVtVsauTxbN8Wed9T4oEb0evVGena8J+Y+RYVFfL8gl5ZtmlZGeLvN0iyuhQMshf5M9/z0R7j+2F4lyjJrZ9JnQnxD9kREyrRtmegUpgRHRABIT0/nmocv4ZqHo+Nyt27Oo//fXmdU/wmhxLNxzSb63Vb+KlrFecQp2Bq9Z8+Hgz/luM7t6HhelR8OHZf0Wukxh6i1P6st637eUOY+AOnl3GAyTEed0oavPplb4f0tLXUynIPbteSDrYN455kxLJ7xLUeefBidrziNjFr6qhYRiUfqfDOISEJl75HFzc9ezbiCoXywdRC/va4TmbUzww6rwrZuymP0Sx+GHUbCnXv1r0stT0tP4/wbzqYgr5CsMv6fsutm0/TQqjvk6cF3/kb9xhW/h9N+LRpUYjTJl1Erg9//pQt3vd6TLj3OVHIjIpUjxefg6JNTRMqVnp5Oz75X0bPvVQBEIhHGvPIx416bSO6SlaxduS7kCEu36vvVYYeQcNf2uYxvZi1l3heLtpdl1q7Fc1P+TVpaGu1OO5zCGL03lmY8MPz20Ift5W3N5/0XJrB0/jKat25KmxNa0brDwZgZtetkM+T7fkwbO4vpH87mp+9XM+ntL2Oe64lJDyQxchERqQ60TLSIJIy7M+WDmUwZM5OJw75g/eqNYYfEPo3rMXBxXzKzaoUdSkItW5jLgimLadpqfw7rcEiJbeMGTqTvTQMoLCikqDCCpRv7tWzII2N6s1/LhiFFHDX+9Yn0ufL5koUGzQ5twuMf3Ue9Br/aXvzzijV0b359zHNl1s5k1Pr4hjGKiFSWarNMdGYj79jw4qRca8wPfUOpEyU4IlJp3J05n83n8R4vkJuzMtRYMveoxStzn6RB05pxz5xlC3MZ//okNq7dRMfz23PMGUeSFvJ8lU3rN9N13yujE1xLkV0ni+53deXCm88F4Lf7XAaFsc937FlH8e/3766ESEVE4qcEZ2dhJTgaoiYilcbMOPLkNrw6v+S9TZbOW8awJ99j8nsz2LIpj4KtBZUeS/7mAi454CZaHtGMe4f+hWZVeB5KIjQ7dH+ufKhb2GGU8FafkTGTG4jOmxr00Nt8/s5Uft39xDKTG4Cr/9U9sQGKiNQI4c6PSQYlOCKSdC3aNOP2F2/YqXzDuo0Me+w9Nq7ZTCQS4ZuvlrJo2jdxLRtcnu/mLOOqI24jIyuDw/+vFXcO7En9xnsn7PyxbNm4hdEDPmLzhi2c0f0kamXVYsBdg/lq0jwys2tx5p9O5aLbupC9R1alxxKWdavXl7tP/tYCli34gRfvHFTuvge1PSARYYmISIrREDURqfLmT1nM5+9MYfzrE1nzY/m/JO+Ktqe24eGxvUlPT0/4ud99bgzP3fpazJuYAmRkZnDgUS146rN/kF7GPX+qo2WLchn2+HtMeH1SzAUQ4tXk0Ma8MufJhJxLRCQRqs0QtVoNveO+FyXlWmN+fE5zcBJNCY5IaopEIsz+bD4D7x/G3M8XEknwDctadziYRyfcS3Z2yd6UT4d/yav3vcWalWvZZ796NG/dhEPbH8TZV5xeYnJ8ccsW5nL1UX+tUC9Udp0seg++hQ7nHpOQ11GatT+t58v3ZxCJRDjhN8ewd6OKL8kcrw1rNtKr80PkzPgu4ecemz8k9NXgRESKU4Kzs7ASHA1RE5FqJy0tjbanHM7jHx0ORBOex655no8GfUakaPeTnQVf5nDenpcDkJmdwXVPXE5uzkr++8So7ftsXLOJ7+f/wBejpjPkkXd4bMLfOfjonYdMvfPMmAoPsdu6KY/5Xy6OmeAUFUXImfEtkUiEVsceSHpGfL1NHw7+lCevexGz6Ln+c11/flV/T067uCN/vKtrwpOdW068l+WLVyT0nAC3D7hWyY2IyO5I4Q4O0I0+RSQFpKWlcceAGxmzdQjjCoZyw5OXJ+zc+VsLefqGASWSm+KKCorYvH4Lj139fKnb166q+D2CLM3Yt0n9UrdNensyXepeSs+OvbnlpHvp8qvLmPz+9Aqf++fcX3jy2v7kb8knb3M+hXmFuMO61RsY9cIErmt/J+t/3lDh88USiUT4afnPPHntC5WS3Fx6z4WcddnpCT+viIikDvXgiEjKueCmc7jgpnPIz8+nb8+XmTTsS7Zs2FKp11zy9fdM+WAmx59zdInyk3/fgU+Hx75RZQkOp1/ccafiH3J+5KFu/ylRVlRQxN8v6MMV/7iYLtd2YvnCFTRsse9OCyYUFUUozC9k4n8nkx9jtbqiwiLWrV7P8L4f0KhZfb78YCaNmjfgN9ecSfPDmlQo9KXzlvP0TS8x+7MFZa6UtjsuuKkzl933h8o5uYhITZLiPTiagyMiNcLmDVsY/vRoBj4wrNJ+Ad9dDZrWZ9C3z+LuuPv2+9Zcf1wvvpm1tPSDDNLT03CHSFEk4TE1PrAhtbJqUZhfSIs2Tel2xwUcdsIhrFiykpfuGsysT+aSvzWf/C35lfp92aXHmdz87NWVdwERkd1Urebg7PO7pFxrzKp+WmQg0ZTgiMiOCguLePrGAYx5+aOwQ9mJWfTeQdsXTTCqbDKWTOnpaby/+Y3Qb1QqIlIWJTg7CyvB0beFiNQoGRnp3PZCD8YVDKX3m7dSt36dsEPazp2SK8IpuSEtPY2huS8ouRERSRiHSJJ+QqI5OCJSY5164QmceuEJAEwbN4t/XdqXjWs2hRyVbFMruxYj17wa92pxIiJSsynBEREB2p/VjuGrBgCwfMkK7ju/D8sW5IYcVc211751eSv3RS0HLSKSaA7uiZ+zWZWoz19EZAdND2zMgNlPMK5gKOMKhtJn/N9p1KL05ZvD1O70w8nISr2/Ux156mEMW/GSkhsREdklqffNKCKSYG1Pa8PrOc9uf15UFGHe5EVMGzuLz9+ZSm7OjwBk1s5i8/rNSYnp5mevokuPTqxYspK/nfUPVi1dnZTrViqD/3z2AG2OPzTsSEREUluI82OSQQmOiEic0tPTOPLE1hx5YmuueLBbiW2FhUXMnDCbmZ/MZcaEr/luzvdEihL3RZKWYfR49E906dEJgMYHNuKNnGdY8e0qnr31Fb6bu4zs2lm0Pf0wDm57APsfvB8tjmhCvfr1yjzvhjUbWL7wR5q02o8Jb3zKsMff4+fcNRWOq8NvjmbqmFm79Fr32rcuD4zoRZsTDon7WBERkR1pmWgRkST45af1TB87i4VTctiycSuYsWzBDxTkF7B80QryNufvdExGZjoZmbXYp3E9Lrm7Kwcd1ZKmrRqTmZ2ZtLgjkQg5M79l8L+H88V7M/Ad/uqXlp7GDU9dwXnXdmLmx3O4s/NDVGhot8FJFxzHHa/eSPYe2ZUTvIhIElWbZaIzGvj/7Xl+Uq41du0A3Qcn0ZTgiIhUjkgkQt7mfLLrZJWYK7Nm1TqGPPIOE16fyMa10eF6tetk0fywpnQ49xh+fclJNG7ZUPNrRCTlKMHZWVgJjoaoiYhI3NLS0qhdd+eel70b7sUNj1/ODY9fHkJUIiJSruhN18KOolJpFTUREREREUkZ6sEREREREalJUniKCqgHR0REREREUoh6cEREREREahDXHBwREREREZHqQT04IiIiIiI1hmsOjoiIiIiISHWhBEdERERERFKGhqiJiIiIiNQUDkQ0RE1ERERERKRaUA+OiIiIiEhN4lomOuHM7CIzm2tmETNrv8O2u8wsx8wWmtnZxco7B2U5ZnZn8qMWEREREZGqLqwenDnAhcALxQvNrA3QDTgc2B+YYGatgs3PAp2A5cBUMxvp7vOSF7KIiIiISPXmgKf4HJxQEhx3nw9gZjtuOh8Y6u55wLdmlgMcH2zLcfclwXFDg32V4IiIiIiIyHZVbQ5OE2BysefLgzKAZTuUdyjtBGbWA+gB0Lx580oIUURERESkmnJP+Tk4lZbgmNkEYL9SNvV293djHVZKmVP6XKFS+9bcvT/QH6B9+/ap3f8mIiIiIiIlVFqC4+5n7sJhy4FmxZ43BXKDx7HKRURERESkglJ9Dk5Vuw/OSKCbmWWZ2QHAIcAUYCpwiJkdYGaZRBciGBlinCIiIiIiUgWFMgfHzLoCfYEGwPtmNsvdz3b3uWb2FtHFAwqBG929KDjmJmAskA687O5zw4hdRERERKRa0xycxHP3EcCIGNv+CfyzlPLRwOhKDk1ERERERKoxc0/dMXhm9hOwNMmX3RdYneRrVneqs/ipzuKnOouP6it+qrP4qc7ipzqLX7LqrIW7N0jCdXaLmY0hWifJsNrdOyfpWtuldIITBjOb5u7tw46jOlGdxU91Fj/VWXxUX/FTncVPdRY/1Vn8VGc1T1VbZEBERERERGSXKcEREREREZGUoQQn8fqHHUA1pDqLn+osfqqz+Ki+4qc6i5/qLH6qs/ipzmoYzcEREREREZGUoR4cERERERFJGUpwREREREQkZSjB2Q1mdpGZzTWziJm132HbXWaWY2YLzezsYuWdg7IcM7sz+VFXDWb2ppnNCn6+M7NZQXlLM9tSbFu/sGOtKszsfjP7oVjdnFtsW6ntraYzsz5mtsDMvjazEWZWLyhXOyuDPqfKZ2bNzOxjM5sffA/cEpTHfJ/WdMFn/eygXqYFZfuY2XgzWxz8u3fYcVYVZnZosXY0y8zWm9mtamMlmdnLZrbKzOYUKyu1XVnU08Fn29dmdkx4kUtl0hyc3WBmhwER4AXgdnff9oHdBhgCHA/sD0wAWgWHLQI6AcuBqUB3d5+X5NCrFDN7HFjn7g+aWUtglLsfEW5UVY+Z3Q9sdPfHdigvtb25e1HSg6xizOws4CN3LzSzRwDcvZfaWWxmlo4+p8plZo2Bxu4+w8z2BKYDFwB/oJT3qUQTHKC9u68uVvYo8Iu7Pxwk03u7e6+wYqyqgvflD0AH4ArUxrYzs1OAjcDAbZ/psdpVkAz2BM4lWpdPuXuHsGKXyqMenN3g7vPdfWEpm84Hhrp7nrt/C+QQ/eXzeCDH3Ze4ez4wNNi3xjIzI/oLwZCwY6nGYrW3Gs/dx7l7YfB0MtA0zHiqCX1OVYC7r3D3GcHjDcB8oEm4UVVL5wOvBY9fI5okys7OAL5x96VhB1LVuPsk4JcdimO1q/OJJkLu7pOBesEfKyTFKMGpHE2AZcWeLw/KYpXXZCcDK919cbGyA8xspplNNLOTwwqsirop6FZ/udhQDrWrirkS+KDYc7Wz0qk9xSnoETwa+DIoKu19KuDAODObbmY9grJG7r4Cokkj0DC06Kq2bpT8Q6DaWNlitSt9vtUQSnDKYWYTzGxOKT9l/UXTSinzMspTUgXrrjslP7RXAM3d/WjgNmCwmf0qmXGHqZw6ex44CGhHtJ4e33ZYKadK2Xa1o4q0MzPrDRQCg4KiGt3OylGj21O8zKwu8DZwq7uvJ/b7VOBEdz8GOAe4MRhaJOUws0zgPGBYUKQ2tuv0+VZDZIQdQFXn7mfuwmHLgWbFnjcFcoPHscpTTnl1Z2YZwIXAscWOyQPygsfTzewbovOXplViqFVGRdubmb0IjAqeltXeUl4F2tnlQBfgDA8mHdb0dlaOGt2e4mFmtYgmN4PcfTiAu68str34+7TGc/fc4N9VZjaC6HDIlWbW2N1XBEOFVoUaZNV0DjBjW9tSG6uQWO1Kn281hHpwKsdIoJuZZZnZAcAhwBSik3UPMbMDgr/IdAv2ranOBBa4+/JtBWbWIJhMiZkdSLTuloQUX5WywzjhrsC2FWNitbcaz8w6A72A89x9c7FytbPY9DlVAcH8wQHAfHd/olh5rPdpjWZmdYLFGDCzOsBZROtmJHB5sNvlwLvhRFillRjpoDZWIbHa1UjgsmA1tROILnC0IowApXKpB2c3mFlXoC/QAHjfzGa5+9nuPtfM3gLmER0Wc+O2Fa3M7CZgLJAOvOzuc0MKvyrYcUwxwCnAg2ZWCBQB17n7jpMHa6pHzawd0e7074BrAcpqb8IzQBYwPvr7KJPd/TrUzmIKVpzT51T5TgT+BMy2YJl74G6ge2nvU6ERMCJ4H2YAg919jJlNBd4ys6uA74GLQoyxyjGzPYiuaFi8HZX6XVBTmdkQ4DRgXzNbDtwHPEzp7Wo00RXUcoDNRFekkxSkZaJFRERERCRlaIiaiIiIiIikDCU4IiIiIiKSMpTgiIiIiIhIylCCIyIiIiIiKUMJjoiIiIiIpAwlOCIiSWZmRWY2q9hPSzNrb2ZPx3GOemZ2Qxnb9zOzoWb2jZnNM7PRZtYqMa8gHGZ2mpl1DDsOERGp2rRMtIhIkpnZRnevW8F9M9y9sJTylsAodz+ilG0G/A94zd37BWXtgD3d/dPdiT1MZnY/sNHdHws7FhERqbrUgyMiUgUEvROjgsf3m1l/MxsHDDSzw81sStDb87WZHUL0RnYHBWV9djjd6UDBtuQGwN1nufunwR28+5jZHDObbWYXF7v+RDN7y8wWmdnDZnZJcN3ZZnZQsN+rZtbPzD4N9usSlGeb2SvBvjPN7PSg/M9mNtzMxpjZYjN7tNhrPsvMvjCzGWY2zMzqBuXfmdkDQflsM2sdJHTXAX8JXvPJlfIfISIi1V5G2AGIiNRAtc1sVvD4W3fvWso+xwInufsWM+sLPOXug8wsE0gH7gSOcPd2pRx7BDA9xrUvBNoBbYF9galmNinY1hY4DPgFWAK85O7Hm9ktQE/g1mC/lsCpwEHAx2Z2MHAjgLsfaWatgXHFhsS1A44G8oCFwevZAtwDnOnum8ysF3Ab8GBwzGp3PyYYhne7u19tZv1QD46IiJRDCY6ISPJtiZGYFDfS3bcEj78AeptZU2C4uy+OjkLbJScBQ9y9CFhpZhOB44D1wFR3XwFgZt8A44JjZhPtFdrmLXePAIvNbAnQOjhvXwB3X2BmS4FtCc6H7r4uOO88oAVQD2gDfB68lszgdW4zPPh3OtGkTEREpEKU4IiIVE2btj1w98Fm9iXwG2CsmV1NtIcllrnA72NsKyszyiv2OFLseYSS3xc7Tt70OM5bFJzLgPHu3r2cY7btLyIiUiGagyMiUsWZ2YHAEnd/GhgJHAVsAPaMcchHQJaZXVPsHMeZ2anAJOBiM0s3swbAKcCUOEO6yMzSgnk5BwILg/NeElyrFdA8KI9lMnBiMLwNM9ujAqu8lfWaRUREACU4IiLVwcXAnGDeTmtgoLv/THR415wdFxnw6PKYXYFOwTLRc4H7gVxgBPA18BXRROgOd/8xzngWAhOBD4Dr3H0r8ByQbmazgTeBP7t7XqwTuPtPwJ+BIWb2NdGEp3U5130P6KpFBkREpCxaJlpERCrMzF4lujz1f8OORUREpDTqwRERERERkZShHhwREREREUkZ6sEREREREZGUoQRHRERERERShhIcERERERFJGUpwREREREQkZSjBERERERGRlPH/ULZF9/7dFhoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_TSNE_inference(tsne_em, p_colors, title = \"TSNE plot, coloring with the expected value of being fraud\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 461,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_TSNE_inference(tsne_em, pred_classes, title = \"TSNE plot, coloring after thresholding\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 462,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_TSNE_inference(tsne_em, true_classes, title = \"TSNE plot, true classes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 571,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x255b36aec48>"
      ]
     },
     "execution_count": 571,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(true_classes, pred_classes)\n",
    "sns.heatmap(cm/np.sum(cm)*100, annot=True, cmap = 'Blues')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 445,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9975"
      ]
     },
     "execution_count": 445,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(true_classes, pred_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 447,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9950248756218906"
      ]
     },
     "execution_count": 447,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "precision_score(true_classes, pred_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 449,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9975062344139651"
      ]
     },
     "execution_count": 449,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1_score(true_classes, pred_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 450,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 450,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recall_score(true_classes, pred_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 452,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9950248756218906"
      ]
     },
     "execution_count": 452,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "average_precision_score(true_classes, pred_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}