RegresionConPipeline.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Laboratorio 2, Regresión\n",
    "\n",
    "El objetivo de este notebook es entrenar un modelo de regresión lineal que permita predecir o estimar una variable objetivo continua a partir de una serie de variables observadas. Se busca estimar el precio de un vehículo usado. Se aborda el proceso general de entrenamiento de modelos de regresión, su validación en términos de las métricas de error más comunes y de la comprobación de supuestos, así como la interpretación de dichos modelos.\n",
    "\n",
    "Este notebook se encuentra dividido en las siguientes secciones:\n",
    "\n",
    "1. Carga de los datos\n",
    "2. Entendimiento y limpieza de datos\n",
    "3. Particionamiento del conjunto de datos en entrenamiento y prueba\n",
    "4. Entrenamiento de un primer modelo\n",
    "5. Entrenamiento de un segundo modelo aplicando normalización\n",
    "6. Validación de los supuestos de la regresión\n",
    "7. Persistencia del modelo y estimación para el nuevo conjunto de datos\n",
    "\n",
    "Para la carga y manipulación de datos se utiliza la libreria **Pandas** (https://pandas.pydata.org/) y para la visualización **Matplotlib** (https://matplotlib.org/) y **Seaborn** (https://seaborn.pydata.org/). El algoritmo de regresión logística y funcionalidades complementarias se encuentran implementados en la libreria **Scikit-Learn** (https://scikit-learn.org/)."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Los datos\n",
    "\n",
    "Se trabaja con un conjunto de datos que contiene linformación sobre vehículos usados en MotorAlpes. Contiene alrededor de 8000 vehículos usados junto a sus precios que se recomiendan apropiados."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from joblib import dump, load\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', 50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "## 1. Carga de los datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cars = pd.read_csv('./data/MotorAlpes_data.csv', sep=',', encoding = 'utf-8', index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7115, 11)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cars.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>km_driven</th>\n",
       "      <th>owner</th>\n",
       "      <th>seller_type</th>\n",
       "      <th>seats</th>\n",
       "      <th>fuel</th>\n",
       "      <th>transmission</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engine</th>\n",
       "      <th>max_power</th>\n",
       "      <th>selling_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4426</th>\n",
       "      <td>2018.0</td>\n",
       "      <td>69779.0</td>\n",
       "      <td>First Owner</td>\n",
       "      <td>Dealer</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1197.0</td>\n",
       "      <td>81.80</td>\n",
       "      <td>7269.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3009</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>First Owner</td>\n",
       "      <td>Individual</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Manual</td>\n",
       "      <td>19.4</td>\n",
       "      <td>1405.0</td>\n",
       "      <td>70.00</td>\n",
       "      <td>2544.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1348</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>227000.0</td>\n",
       "      <td>First Owner</td>\n",
       "      <td>Individual</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Manual</td>\n",
       "      <td>17.5</td>\n",
       "      <td>1373.0</td>\n",
       "      <td>91.10</td>\n",
       "      <td>8480.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7946</th>\n",
       "      <td>2018.0</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>First Owner</td>\n",
       "      <td>Dealer</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Manual</td>\n",
       "      <td>19.6</td>\n",
       "      <td>1461.0</td>\n",
       "      <td>108.45</td>\n",
       "      <td>12721.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3047</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>210000.0</td>\n",
       "      <td>Second Owner</td>\n",
       "      <td>Individual</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Manual</td>\n",
       "      <td>12.8</td>\n",
       "      <td>2494.0</td>\n",
       "      <td>102.00</td>\n",
       "      <td>5451.90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        year  km_driven         owner seller_type  seats    fuel transmission  \\\n",
       "4426  2018.0    69779.0   First Owner      Dealer    5.0  Petrol    Automatic   \n",
       "3009  2011.0   120000.0   First Owner  Individual    5.0  Diesel       Manual   \n",
       "1348  2017.0   227000.0   First Owner  Individual    7.0  Petrol       Manual   \n",
       "7946  2018.0    18000.0   First Owner      Dealer    5.0  Diesel       Manual   \n",
       "3047  2010.0   210000.0  Second Owner  Individual    8.0  Diesel       Manual   \n",
       "\n",
       "      mileage  engine  max_power  selling_price  \n",
       "4426     22.0  1197.0      81.80        7269.20  \n",
       "3009     19.4  1405.0      70.00        2544.22  \n",
       "1348     17.5  1373.0      91.10        8480.74  \n",
       "7946     19.6  1461.0     108.45       12721.10  \n",
       "3047     12.8  2494.0     102.00        5451.90  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cars.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cars_test = pd.read_csv('./data/MotorAlpes_test.csv', sep=',', encoding = 'utf-8', index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(791, 10)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cars_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>km_driven</th>\n",
       "      <th>owner</th>\n",
       "      <th>seller_type</th>\n",
       "      <th>seats</th>\n",
       "      <th>fuel</th>\n",
       "      <th>transmission</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engine</th>\n",
       "      <th>max_power</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6506</th>\n",
       "      <td>2012.0</td>\n",
       "      <td>70000.0</td>\n",
       "      <td>Second Owner</td>\n",
       "      <td>Individual</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Manual</td>\n",
       "      <td>23.20</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>1783.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8098</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Second Owner</td>\n",
       "      <td>Individual</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Manual</td>\n",
       "      <td>17.80</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>75.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1415</th>\n",
       "      <td>2012.0</td>\n",
       "      <td>70000.0</td>\n",
       "      <td>Fourth &amp; Above Owner</td>\n",
       "      <td>Individual</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Manual</td>\n",
       "      <td>22.07</td>\n",
       "      <td>1199.0</td>\n",
       "      <td>73.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4413</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>Second Owner</td>\n",
       "      <td>Individual</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Manual</td>\n",
       "      <td>12.05</td>\n",
       "      <td>2179.0</td>\n",
       "      <td>1801.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1762</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>168000.0</td>\n",
       "      <td>Second Owner</td>\n",
       "      <td>Individual</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Manual</td>\n",
       "      <td>12.80</td>\n",
       "      <td>2494.0</td>\n",
       "      <td>102.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        year  km_driven                 owner seller_type  seats    fuel  \\\n",
       "6506  2012.0    70000.0          Second Owner  Individual    5.0  Diesel   \n",
       "8098  2009.0   100000.0          Second Owner  Individual    5.0  Diesel   \n",
       "1415  2012.0    70000.0  Fourth & Above Owner  Individual    5.0  Diesel   \n",
       "4413  2011.0   120000.0          Second Owner  Individual    8.0  Diesel   \n",
       "1762  2011.0   168000.0          Second Owner  Individual    8.0  Diesel   \n",
       "\n",
       "     transmission  mileage  engine  max_power  \n",
       "6506       Manual    23.20  1248.0    1783.87  \n",
       "8098       Manual    17.80  1248.0      75.00  \n",
       "1415       Manual    22.07  1199.0      73.90  \n",
       "4413       Manual    12.05  2179.0    1801.15  \n",
       "1762       Manual    12.80  2494.0     102.00  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cars_test.sample(5)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "## 2. Descripción de los datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year             float64\n",
       "km_driven        float64\n",
       "owner             object\n",
       "seller_type       object\n",
       "seats            float64\n",
       "fuel              object\n",
       "transmission      object\n",
       "mileage          float64\n",
       "engine           float64\n",
       "max_power        float64\n",
       "selling_price    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cars.dtypes"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.1 Datos númericos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>km_driven</th>\n",
       "      <th>seats</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engine</th>\n",
       "      <th>max_power</th>\n",
       "      <th>selling_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>6876.000000</td>\n",
       "      <td>6.917000e+03</td>\n",
       "      <td>7115.000000</td>\n",
       "      <td>6917.000000</td>\n",
       "      <td>6835.000000</td>\n",
       "      <td>6847.000000</td>\n",
       "      <td>6714.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2013.980948</td>\n",
       "      <td>6.911118e+04</td>\n",
       "      <td>5.411103</td>\n",
       "      <td>19.523473</td>\n",
       "      <td>1835.489539</td>\n",
       "      <td>141.981595</td>\n",
       "      <td>11261.208041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.852565</td>\n",
       "      <td>5.796521e+04</td>\n",
       "      <td>0.953555</td>\n",
       "      <td>4.241574</td>\n",
       "      <td>2363.919253</td>\n",
       "      <td>274.956684</td>\n",
       "      <td>40765.694516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1994.000000</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.070000</td>\n",
       "      <td>1.910000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2012.000000</td>\n",
       "      <td>3.400000e+04</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>16.800000</td>\n",
       "      <td>1197.000000</td>\n",
       "      <td>68.050000</td>\n",
       "      <td>3210.560000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2015.000000</td>\n",
       "      <td>6.000000e+04</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>19.330000</td>\n",
       "      <td>1248.000000</td>\n",
       "      <td>83.100000</td>\n",
       "      <td>5451.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2017.000000</td>\n",
       "      <td>9.400000e+04</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>22.320000</td>\n",
       "      <td>1597.000000</td>\n",
       "      <td>104.680000</td>\n",
       "      <td>8480.740000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2020.000000</td>\n",
       "      <td>2.360457e+06</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>46.816000</td>\n",
       "      <td>19972.000000</td>\n",
       "      <td>1995.640000</td>\n",
       "      <td>598983.440000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              year     km_driven        seats      mileage        engine  \\\n",
       "count  6876.000000  6.917000e+03  7115.000000  6917.000000   6835.000000   \n",
       "mean   2013.980948  6.911118e+04     5.411103    19.523473   1835.489539   \n",
       "std       3.852565  5.796521e+04     0.953555     4.241574   2363.919253   \n",
       "min    1994.000000  1.000000e+00     2.000000     0.000000      4.000000   \n",
       "25%    2012.000000  3.400000e+04     5.000000    16.800000   1197.000000   \n",
       "50%    2015.000000  6.000000e+04     5.000000    19.330000   1248.000000   \n",
       "75%    2017.000000  9.400000e+04     5.000000    22.320000   1597.000000   \n",
       "max    2020.000000  2.360457e+06    14.000000    46.816000  19972.000000   \n",
       "\n",
       "         max_power  selling_price  \n",
       "count  6847.000000    6714.000000  \n",
       "mean    141.981595   11261.208041  \n",
       "std     274.956684   40765.694516  \n",
       "min       1.070000       1.910000  \n",
       "25%      68.050000    3210.560000  \n",
       "50%      83.100000    5451.900000  \n",
       "75%     104.680000    8480.740000  \n",
       "max    1995.640000  598983.440000  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cars.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Eliminar posibles outliers de acuerdo al diccionario de datos proporcionado\n",
    "df_cars = df_cars[(df_cars['year'] >= 1994) & (df_cars['year'] <= 2020) &\n",
    "                                 (df_cars['km_driven'] >= 1) & (df_cars['km_driven'] <= 2360457) &\n",
    "                                 (df_cars['seats'] >= 2) & (df_cars['seats'] <= 14) &\n",
    "                                 (df_cars['mileage'] >= 0) & (df_cars['mileage'] <= 46.816) &\n",
    "                                 (df_cars['engine'] >= 624) & (df_cars['engine'] <= 3604) &\n",
    "                                 (df_cars['max_power'] >= 32.8) & (df_cars['max_power'] <= 400) &\n",
    "                                 (df_cars['selling_price'] >= 363.45) & (df_cars['selling_price'] <= 121153.38)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5458, 11)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cars.shape"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.2 Datos categóricos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "First Owner             0.656284\n",
       "Second Owner            0.257054\n",
       "Third Owner             0.065409\n",
       "Fourth & Above Owner    0.020887\n",
       "Test Drive Car          0.000366\n",
       "Name: owner, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Es posible obligar a tener en cuenta valores nulos así como retornar la frecuencia relativa en lugar de la absoluta\n",
    "df_cars['owner'].value_counts(dropna = False, normalize = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Individual          0.832906\n",
       "Dealer              0.137779\n",
       "Trustmark Dealer    0.029315\n",
       "Name: seller_type, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Es posible obligar a tener en cuenta valores nulos así como retornar la frecuencia relativa en lugar de la absoluta\n",
    "df_cars['seller_type'].value_counts(dropna = False, normalize = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Diesel    0.539392\n",
       "Petrol    0.449249\n",
       "CNG       0.006413\n",
       "LPG       0.004947\n",
       "Name: fuel, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Es posible obligar a tener en cuenta valores nulos así como retornar la frecuencia relativa en lugar de la absoluta\n",
    "df_cars['fuel'].value_counts(dropna = False, normalize = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Manual       0.869916\n",
       "Automatic    0.130084\n",
       "Name: transmission, dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Es posible obligar a tener en cuenta valores nulos así como retornar la frecuencia relativa en lugar de la absoluta\n",
    "df_cars['transmission'].value_counts(dropna = False, normalize = True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Limpieza de datos"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.1 Completitud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>km_driven</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>owner</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seller_type</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seats</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fuel</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>transmission</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mileage</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engine</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max_power</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>selling_price</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 0\n",
       "year           0.0\n",
       "km_driven      0.0\n",
       "owner          0.0\n",
       "seller_type    0.0\n",
       "seats          0.0\n",
       "fuel           0.0\n",
       "transmission   0.0\n",
       "mileage        0.0\n",
       "engine         0.0\n",
       "max_power      0.0\n",
       "selling_price  0.0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ver el porcentaje de atributos vacios\n",
    "df_porcentajes = (100*df_cars.isna().sum()/len(df_cars)).to_frame()\n",
    "df_porcentajes.sort_values(0, ascending = False)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.2 Duplicidad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "owner: 5453\n",
      "seller_type: 5455\n",
      "fuel: 5454\n",
      "transmission: 5456\n"
     ]
    }
   ],
   "source": [
    "# Revisamos cada columna para ver cuantos valores repetidos tiene\n",
    "# el comando duplicated() no dice que filas tinen valores duplicados.\n",
    "non_number_cols = df_cars.dtypes[(df_cars.dtypes != np.int64) & (df_cars.dtypes != np.float64)].index \n",
    "for col in non_number_cols:\n",
    "    num_duplicated = df_cars.duplicated(subset = col).sum()\n",
    "    print(f\"{col}: {num_duplicated}\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Convertir variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/r_/zq13xvq14tn3xjm_rnxttsn00000gn/T/ipykernel_10609/412866150.py:2: FutureWarning: The default value of numeric_only in DataFrame.quantile is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  q1 = df_cars.quantile(0.25)\n",
      "/var/folders/r_/zq13xvq14tn3xjm_rnxttsn00000gn/T/ipykernel_10609/412866150.py:3: FutureWarning: The default value of numeric_only in DataFrame.quantile is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  q3 = df_cars.quantile(0.75)\n",
      "/var/folders/r_/zq13xvq14tn3xjm_rnxttsn00000gn/T/ipykernel_10609/412866150.py:7: FutureWarning: Automatic reindexing on DataFrame vs Series comparisons is deprecated and will raise ValueError in a future version. Do `left, right = left.align(right, axis=1, copy=False)` before e.g. `left == right`\n",
      "  df_cars_out = df_cars[~((df_cars < (q1 - 1.5 * IQR)) | (df_cars > (q3 + 1.5 * IQR))).any(axis=1)]\n"
     ]
    }
   ],
   "source": [
    "#Calcular los valores atípicos utilizando la regla de los cuartiles\n",
    "q1 = df_cars.quantile(0.25)\n",
    "q3 = df_cars.quantile(0.75)\n",
    "IQR = q3 - q1\n",
    "\n",
    "#Eliminar los valores atípicos utilizando la regla de los cuartiles\n",
    "df_cars_out = df_cars[~((df_cars < (q1 - 1.5 * IQR)) | (df_cars > (q3 + 1.5 * IQR))).any(axis=1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convertir variables categoricas a numericas\n",
    "df_cars = pd.get_dummies(df_cars, columns=['owner', 'seller_type', 'fuel', 'transmission'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cars"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.1 Búsqueda de relaciones entre variables\n",
    "\n",
    "Si se logra visualizar o cuantificar una alta correlación entre las variables a usar para el entrenamiento del modelo con respecto a la variable objetivo, se podrán soportar las decisiones del experto con base en la evidencia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x2afe5430040>"
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 6048x288 with 22 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df_cars, height = 4, y_vars = 'selling_price', x_vars = df_cars.columns, kind = 'scatter')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.2. Búsqueda de relaciones entre los atributos\n",
    "\n",
    "**Importante:** La regresión lineal asume que las variables de entrada son independientes entre ellas (a nivel práctico que no se encuentran altamente correlacionados).\n",
    "Se revisará ese supuesto con la siguiente gráfica."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "features = df_cars.columns\n",
    "plt.figure(figsize = (12, 10))\n",
    "sns.heatmap(df_cars[features].corr(), cmap = 'vlag', vmin = -1, vmax = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Un buen punto de corte (empírico) para decidir si descartar una variable debido a su alta correlación con otra es ~$|0.8|$.Este valor depende del contexto."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\fesar\\AppData\\Local\\Temp\\ipykernel_29528\\3111689112.py:3: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  upper = corr_matrix.where(np.triu(np.ones(corr_matrix.shape), k=1).astype(np.bool))\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['owner_Second Owner',\n",
       " 'seller_type_Individual',\n",
       " 'fuel_Petrol',\n",
       " 'transmission_Manual']"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filtar solo las columnas con una correlacion mayor al valor absoluto de 0.8\n",
    "corr_matrix = df_cars[features].corr().abs()\n",
    "upper = corr_matrix.where(np.triu(np.ones(corr_matrix.shape), k=1).astype(np.bool))\n",
    "to_drop = [column for column in upper.columns if any(upper[column] > 0.8)]\n",
    "to_drop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Eliminar columnas con alta correlación\n",
    "df_cars.drop(columns = ['owner_Second Owner', 'transmission_Manual', 'fuel_Petrol', 'seller_type_Individual'], inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "features = df_cars.columns\n",
    "plt.figure(figsize = (12, 10))\n",
    "sns.heatmap(df_cars[features].corr(), cmap = 'vlag', vmin = -1, vmax = 1)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 6.1 Entrenamiento de modelos\n",
    "\n",
    "Se desea construir un modelo que se ajuste bien a los datos de entrenamiento, pero que además se comporte de forma similar con datos desconocidos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df_cars.copy()\n",
    "df = df.reset_index(drop = True)\n",
    "X_train, X_test, y_train, y_test = train_test_split(df.drop(['selling_price'], axis = 1), df['selling_price'], test_size = 0.3, random_state = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((3820, 16), (3820,))"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape, y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1638, 16), (1638,))"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [],
   "source": [
    "regression = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regression.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train: 0.6815985113832433\n",
      "Test: 0.6753035571188633\n"
     ]
    }
   ],
   "source": [
    "# Ver score de entrenamiento y test\n",
    "print('Train:', regression.score(X_train, y_train))\n",
    "print('Test:', regression.score(X_test, y_test))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Eliminación de valores atípicos con cuartiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\fesar\\AppData\\Local\\Temp\\ipykernel_29528\\238737873.py:6: FutureWarning: Automatic reindexing on DataFrame vs Series comparisons is deprecated and will raise ValueError in a future version. Do `left, right = left.align(right, axis=1, copy=False)` before e.g. `left == right`\n",
      "  df_cars_out = df_cars_out[~((df_cars_out[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] < (q1 - 1.5 * IQR)) | (df_cars_out[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] > (q3 + 1.5 * IQR))).any(axis=1)]\n",
      "C:\\Users\\fesar\\AppData\\Local\\Temp\\ipykernel_29528\\238737873.py:6: FutureWarning: Automatic reindexing on DataFrame vs Series comparisons is deprecated and will raise ValueError in a future version. Do `left, right = left.align(right, axis=1, copy=False)` before e.g. `left == right`\n",
      "  df_cars_out = df_cars_out[~((df_cars_out[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] < (q1 - 1.5 * IQR)) | (df_cars_out[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] > (q3 + 1.5 * IQR))).any(axis=1)]\n"
     ]
    }
   ],
   "source": [
    "df_cars_out = df_cars.copy()\n",
    "q1 = df_cars_out.quantile(0.25)\n",
    "q3 = df_cars_out.quantile(0.75)\n",
    "IQR = q3 - q1\n",
    "# Eliminar los valores atípicos utilizando unicamente en 'year', 'km_driven', 'seats', 'mileage', 'engine', 'max_power', 'selling_price'\n",
    "df_cars_out = df_cars_out[~((df_cars_out[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] < (q1 - 1.5 * IQR)) | (df_cars_out[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] > (q3 + 1.5 * IQR))).any(axis=1)]\n",
    "df_cars_out = df_cars_out.reset_index(drop = True)\n",
    "X_train, X_test, y_train, y_test = train_test_split(df_cars_out.drop(['selling_price'], axis = 1), df_cars_out['selling_price'], test_size = 0.3, random_state = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((2930, 16), (2930,))"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape, y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1257, 16), (1257,))"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [],
   "source": [
    "regression = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regression.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train: 0.7537636056125895\n",
      "Test: 0.7460481658476743\n"
     ]
    }
   ],
   "source": [
    "# Ver score de entrenamiento y test\n",
    "print('Train:', regression.score(X_train, y_train))\n",
    "print('Test:', regression.score(X_test, y_test))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se puede observar que el mejor resultado se obtiene al eliminar los outliers."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6.2 Utilizar únicamente variables donde se pueda observar alguna relación con la variable objetivo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x2afd8eda0e0>"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YCssIDIYRlmS09Qxg1VzPlHxXkigXybKMhpW1sR/GtFlENKysBfg8mogmIbXYku2YR0TapHtMbBQnwiIiRVarCesXTkNNqRPtPUF4XDYsnObWPAnVtEIbPnX9THzlqSNXJna6xYdphTZNyx89749NggUMD9ra8sxx1JQ6saS6OOX9MqrGVn8swAPD+7vtuUY8eFs97tlzGL6/W4HXTnfH3QTuW1eHD84t12XSAlEUsNpXgXkNK9DRG0R5gQ3VJc6ktuVx2WCziHED8GwWEeUF2uqA0Y11jCZ67IiMpsBmVozpBbbcSSV5bRLRWJRiRKXbnjAhQToa4WqU8sF79x5HbXk+6mcUJb0+URQw3+tSzMcil/83OCThnj2HMa9hxaSYqDRVvEcQGZPStXkxEMKWfa/Hxcqt+xrx043Xj3nNRtunc8rz8aml8XmtnrHdyBj7aKrQq66nst7TXYHYJFjAlVzspxuvT8gDv/zUUTz1tzfgf/5uBf5wqhtf0hC31PriPK7J0RdHREREZCR2iwkRCHF52tZbfLBbsvuDTkYtFxERGRvvH5QtrHtEpAfGFiLSC+MLEemBsYWI9NDU2YOLgSFse7YxLrY0dfZgvrcw28UjIg1sFjN2HzqDjctrIAjDc8HsPnQGfzq7JKvlYu5CRHpw2c2KsaXAnjtjl4mmsnSPiY2aWiO8iCgpVqsJS6qL8ZGF07CkuljzJFgAcGlEhwlweWKnZxtxKTCkafm2nmDcoK3oOtp7gtp3IIe0+pX3dyAUHt5v/2DCTeAbzxzHifaepLclSTKaO/vwynsX0NzZB0lSnhVVFAXUlOVjWU0pasrykx4gWF3ixI4Ni2CzDN9qbBYROzYsQnWJM+kyG5XaMZrosSMymkAoohjTA6FIlkuWHF6bRDSW0THiRHuPYiO8sdWvy/bV8sE2f+r576zSxHysYWUtfvnG2bhtdPQmtw2t+WQu4T2CKHOSiSGjr81U+wqi7dNNN16Fbc81Ziy2Gx1jHxlZOvMNvep6suttV4lharHtXPcALvUPJfxYgFrcmgp9cURERERGYdTnJkYtFxERGRvvH5QtrHtEpAfGFiLSC+MLEemBsYWI9HCpP6w8prM/nOWSEZFWoUgEn1hShR/+rhmPHDyJH/6uGZ9YUoWhiDT+wjpi7kJEeugNKseW3iBjC1Eu0GNMLABwKjwi0kWrygCu1p4g6jUs73XZYLOIceuwWUR4XLY0l9QYvG674v7arWbYLCIuBAZVbwL1M7RvR5Jk7G9swz17DsdmRt2xYRFW+yrSPuBVFAWs9lVgXsMKdPQGUV5gQ3WJkwNriXLQxUBIMQZdDISyVCIiIv2N1QhPJv/SSi0frHCnnv+OzsfsFhMafvEmWkd0JNgsIsoLtG8jk/kkEU0+E40hqfYVROPh/sbWjMZ2IkrNZM03PCoxTC22VbhtSeWk7IsjIiIiyhyjPjcxarmIiMjYeP+gbGHdIyI9MLYQkV4YX4hID4wtRKQHxhai3FfsyMPuQ2ewcXkNBAGQZWD3oTP4c19FVsvF+EJEerjQqzx/woW+wSyViIiSoceYWIATYRHRGCRJxumuANp7gvC4khs4VZafpxi0SvPzNC2/YJobP7nzWkA2xQZuQYhg4TR3SvtidD6vC/evr8O9e4/HBvhtXePD479vxo4NizC9UPkmUJqfhz80dyEQCmNmsROzSpXPUfRcDp/PATz8yWvQFwxjWqENF/oG8eaZbtRXFsJsFhXLp1YXxqsjoiigpiwfNWX5466LiIzL61YZlJtjkxOGwxIaW/1o9Qfhddvh87pU414qGN+IJpd0N8LHi0FK+eD96+vg86Yn/5VlID/Pgm/dWoeLfWEEBsNw2swosJlQXeLUHMNOdwVik1IAw52L9+w5jHkNK+JyvlwiSTJOXQig5WIATqsZHlceqooZw2nq0jOnSTaGjC6Lr8KFhz+xCJIMDIYlFDstsJoE1FW4NG3fU6A+2QwRGcfprgAe2H8i9hIHADyw/wTmVRSklG/oFdeSXW91iRPfv30xegcicbnYgmnuMfJAIaW4JcsT3j0iIiIiGoNRn5sYtVxERGRsvH9QtrDuEZEeGFuISC+ML0SkB8YWItJDZZFDMbZML7RnsVRElAyTCHzroz6YRTPae4ffT/zTqwphSt8QuJQwdyEiPXhUYoungLGFKBfoNSaWE2ERkSJJkrG/sS02QNVmEbFjwyKs9lVoGihWYBexfa0PW/Y1xpbfvtYHt11baysSkdByYRBb9h0fsXwdFlZIAEwT3DvjMZtFrK+fjtryfLT6gyjNz4NZBB68bVFsYoLRN4Ht6+rwXmcvtux7a8xzpHQuN6+qxeOvtKC7P4SGlbX4zgvv4Asra7G+fnrCpDBqdeHm+R68cKI9qToy0XpFRNlR7ByOwaNjckl+lnvQkhAOS9h75FxCMq0U91LB+EY0+cwty1eMfXPLCpJel5YYNDIfbPMHUeG2wed1TyhGjY5NS2a6seG6mdjyTHw5wmEJ//tOh6YY1t4TVJxpv6M3mJMTYanlyrWefKyc62EMpylH75wmmRiiVJaHPl6PiCzjK08dvTKJ9C0+DIYlrKgtH7ctuvfNM9i21oetcX0VqcV2ItJPV2AQn1hShZ0Hm2LXasPKWlwMDCadb+gV11JZryTJ6OwNJeSEoiio5oG1pQ7FnLS21JmxfSUiIiKiRGUu5ecm5e7sPjcxarmIiMjYeP+gbGHdIyI9MLYQkV4YX4hID4wtRKSHuWX52L6uLu598e3r6jCvnO9JEuUKSQ7jbHcIW/a9EZcjeN15WS0Xcxci0kM5YwtRTtNjTCzAibCISMXprkBs0BQwPDD1nj2HMa9hhaYBZ5f6I9hz6AwevK0eA6Ew7FYzHv99M6pL52va/rG2nljSEt3+ln3HUV3qwNJZJanvmIGZzSLqZxShfkbi30YPiCvJz8PbrX7c//zb454jpXP58IEmbFxeg10vnsTOg8P/fe/e46gtz0f9jKK4bavVhd2bliVdRyZar4goOzp6I9hzqEUxpleXZrt02jS2+mODjYHh+KMW91LB+EY0+bzT2asY++ZWJB83tMagsfLBVIyOTXf8SQ2+8tSRhHJUlzg1xzCPS3mm/fIcnWlfLVfedGMNakrzGcNpytE7p0kmhiiV5YtPHsGmG2viPtv2bCO+c1s9TncFxm2LblxegycV+ipSie1EpB+rSYxNggUMX+s7DzZh96ZlSa9Lr7iWynrHywmV8sDGNuWcdFapA9eN6iNlu5SIiIgoc1ovqT83yWbz0qjlIiIiY+P9g7KFdY+I9MDYQkR6YXwhIj0wthCRHt7p7MWe1xTegffwPUmiXHGhL6I4tvrxO5diVln2ysXchYj0wNhClPvSPSYW4ERYRKSivScYNzAVGG4wdfQGNQ2cau8ZxLlLg3inrReCMPzZuUuDaO8Z1Lj9QcXta10+V0mSjNNdAbT3BOFx2VBd4oQoDh/AkTeBV967gLbekKZzpHYuo+cl+t/BIQlt/mDCTUZt+VZ/8nVkovWKiLJjojHdCNRillLcSwXjG9Hk0+oP4lCLH4da3oz7PJW4EY1BXrcNty6ujMXSiwF94+jo2DQwGFaOhUnEsOoSJ3ZsWBSbZMFmEbFjwyJUlzj12xEdqcVvSQZjOE1Jeuc0ycQQtbI4rCbcddPsWCx9+vWzCITCmtqigoC0xXYi0k9/KKJ4/feHIkmvS6+4lsp6x2qXLpiu3CfY1jOoGLeU2uNslxIRERFljlGfmxi1XEREZGy8f1C2sO4RkR4YW4hIL4wvRKQHxhYi0kOrP6gYW/ieJFHuMOrYauYuRKQHxhYiUsKJsIhIkcdlg80ixjWYbBYR5QU2TctXFtrwf/6sBhcCIUgyYBKA//NnNags1La8x5WnuH2PKy+5HckhkiRjf2NbwoDg1b6K2GRYUR6XDa48ExpWzYYkD3/29Otn0d0fSjhHaudSluP/22YRUeFOPD9qy3vd9qTryETrFRFlx3SVmD5dY0w3ArWYpRT3UsH4RjT5eN12zCyxY83C6bGOtGePnEspbkTX9YklVdh5sCmW61310QWQJDkh10uX0bHJkWdWzuuSiGGiKGC1rwLzGlagozeI8oL4yVtzjVr8FgUwhtOUpHdOk0wMUSrLzBI7CmwW/N//vRJLN6+qRZHDqqktGl1HOmI7EelHLRZ5XMlfq3rFtVTWq9YunV5kV+0TrHDlKcYtpT5StkuJiIiIMseoz02MWi4iIjI23j8oW1j3iEgP0wttuOOGmXj4QPzzRMYWotwy1g9LZwtzFyLSA2MLEemhssiuHFuK7NkuGhFpZNSx1cxdiEgPjC1EpETMdgGIyJiqS5zYsWFRbKBodABWdYlT0/IumwWBUASPvtyMRw6exPdfbkYgFIHLZtG0/IIKF7avrYvb/va1dVhQ4Upth3LA6a5AbMAbMDxL8z17DuN0VyDhu1VFDhTn58WO7w9+24w7bpiJRz59TcI5UjqXm1fV4pdvnIXNIqJhZS2eO3oO96+vg8/rTtiWWl3weV1J15GJ1isiyg6XzaQS003ZLppmPq8L96+Pv6+oxb1UML4RTT7zPQW466Za/PB3V/Ktu26qxXxP8vmoz+vCN2/xxSbBAoZzva/96phirpcuo2PTT37fjO3rEmPhgmnupGKYKAqoKcvHsppS1JTlZ/1Fs4lQy5UXVroZw2lKykROozWGKJXlvnV1uO+5t+Ji6cMHmpCfZ9LUFn31vU787Y2z0xLbiUg/6YxFesW1VNar1i61mU2qfYJ1FS7c9YFROekHalGn0EfKdilF3XDjTaie4xvzn/aO9mwXk4iIKKcVqDw3KcjycxOjlouIiIyN9w/KFtY9ItKDM88UmwQLuPI80ZnH2EKUK6I/LP3hnb/Fp/7jD/jwzt9if2MbpOgvR2cJcxci0gNjCxHpwWFRji0OC2MLUa64usKpOLb66orsvgvI3IWI9MDYQkRKzNkuABHpY6K/hCKKAlb7KjCvYQU6eoMoL0huHRcCIcWHyYurinCVhuXtdgtuqatAdakD7T2D8LjysKDCBbtd20Rauai9Jxg3SzMwfNw6eoOoKcuP+/xMdz/u3Xs84fj+1xdWJJyj0eey1JmHYDiCq8ryUeSwIBAKY+cnr4HP64bZnDg/4lh1Idk6IooCbp7vwe5Ny9DqD8LrtsHndef05AlEU0FXIKwa02dnuWxamc0i1i6YhuoSJ9p6gqhw2bBwmnLcS8VE75tEZDxn/QPY8kx8vrXlmeOYWexAWUFeUte42Swiz2zSnOuli1JsqnTbMdeTjzZ/EBWXczGzWZyyMSx6jOZ+YQXOXAzAYTXD48pDVfHU2H+i0YyU0yiVRa3dLAjCuG3R1b4KTC+04ROPvpoQ25fMLNItFhuZEX9FlwhIbyzSK66lsl6zWcT6+umoLY/PxV5ruaiaJwLAln2jctJ9x7Gkugg1o/pJsxHDGUeMqbWtA8u+9IMxv/PLL34kQ6UhIiKanC6O8dyE5SIiolzD+wdlC+seEenhYmBIsc+9u38oSyUiomSp/bD0vIYVWX2uz9yFiPTA2EJEeujsUx/TWVOe5cIRkSb5dhv+oq4M1aVLY2Or51c4kW+3ZbVczF2ISA+MLUSkRNeJsARBeAzAGgAdsizXjfrbFwF8B0CZLMsXBEEQADwM4MMA+gF8RpblNy5/968B3Ht50ftlWf7J5c+vBfBjAHYAzwPYLMtydn/qgcgAor+EEn0IZLOI2LFhEVb7KpKeDKumLD+lh0aBUFjxYXJ/KKx5HXa7BUtnlSS97Vzlcdlgs4hxx81mEVFekNhAVRv829kXxFXliedL6VzWTddeNrW6kGwdkSQZL5xon3DdJKLMSkdMzzZJkvG/73ToGn8mct8kIuNRy7d+e/ICfvDb5qRjSIVbe66XTkqxqX5GEepnjP+9qUIUBVxVnq+YRxNNRUaKB0plUYqlHtf4sVQUBfSHIhmflNCo0tV3RKSXdMYiveJaKus1m8WEXGysPsFkJs5PtUypYhwhIiKiqSwwaMznJkYtFxERGRvvH5QtrHtEpIfyAuU+97L87A4UJSLtkn0+linMXYhID4wtRKSHyTD+h2iqkyQZvz3Zbbh385i7EJEeGFuISImo8/p/DGD16A8FQZgB4GYAZ0Z8/BcAai//swnAv1/+bjGArQCuB7AUwFZBEKJT+P07gL8ZsVzCtoimotNdATyw/wQ2Lq/B3Stn43MravDA/hM43RVIaj2hUASHTl/Ec0fP4/XTFxEKRTQvO7PYCZslPsTYLCKqip2a1yFJMpo7+/DKexfQ3NkHSZrc89xVlzixY8Oi2HGzWUT880cXQBSQsO/RAXIjJTuRgtrxVfo8XedC7Vd6kq2bU61uTGY8l7khHTE929IVf4ho6lDLt2Q5tRiilOvt2LAI1SVXYqke98WJ5PSp4v2diPSiJZaqCQbDMInChNvSkwXzYyLjGCu2JdsHGAyG8dqpLjx75DxeO9WFYFC/h8CMI0REE8f2M1HuKi3IU8zTSpzWLJVomFHLRURExsb7B2UL6x4R6cEkAl//i3lxfe5f/4t5MOk9YoKI0iYd78jrgbkLEemBsYWI9DAZxv8QTXWnuwJ46e1WPPaZ67Dzk4vwo89ch5febs36u3nMXYhID4wtRLlPj3dhzWkolypZll8WBKFa4U//CuArAJ4Z8dk6AI/LsiwDeFUQhEJBELwAPgDg17IsXwQAQRB+DWC1IAgvAXDJsvzq5c8fB7AewH/rszdEuaMrMIhPLKnCzoNNsRl/G1bW4mJgUPMvoYRCEew9eh5bnjkeW8f2dXVYv3AarFbTuMvPLHbg/vV1uHfvleXvX1+HmcUOTduXJBkH32nH0bN+SDJgEoAFlW6snOvJ6qzFervaW4CffHYpLgZCON0VwLf/5x1094cSZmyODpAbPauzlsG/wPDx3d/YlrD8zfM9eOFEe9znj3z6GoTCclpmkE7Hr/SolT3bM1pT8nguc0dFgUUxplcUWLJdNM2M+ithRGRcVUWJ+ezWNT78/I8tAMaPIZIk43RXAO09QXhcNlSXOLHaV4F5DSvQ0RtEecHwZ9F7nh73xYnm9Kng/Z2I9GY1C9h0Yw0kGRCF4f8fTzAYxr5jrdj1UhP+/oNz8K//+25cXltVpK2vYjJhfkxkLGqxTSknVYtb0Vi3Zd+I3G9tHdYu8MJmS/+jIMYRIqKJYfuZKLfZLFDM0+zW7F6/DqtyuZx5jCtERKSO9w/KFtY9ItJDIBSGx5WH79xWj0AoDKfVDIsJ6A/p98MRRJRelW47tq+rS3jfqdJtz2q5mLsQkR4YW4hIDzMK7YqxZUZhdvMpItJuYCiMJdWluPPHr414F9CH4FB2+zeYuxCRHoz6Dg4RaaPXu7C6ToSlRBCEdQDOybJ8RBDiCj4dwPsj/v/s5c/G+vyswudEU57VJMYmwQKGByDtPNiE3ZuWaV7H0fP+2AOk6Dq2PHMcNaVOLKkuHnf5M939+O7BJmxcXgNBAGQZ+O7BJiyuKtI0EOrMxQCaOwN49OXmWNC750NzMLssgOrSyTeQSinIN6ysBTB87O/ZcxjTNy1DfyiiaSKF8ZzuCsS2NXIbuzctS/j86Fl/7DyM/O68hhVJD2qL/kpPkcOKWxdXQhCGJzmrcGn/lR61sqdSHsounsvc8U5HAP2D4bhBuf2DYbzTEcDimXnZLp4m0fgzcpCuEX4ljIiMSymf/d7LJ7Fm4XQcPdczZgxRyu0e+NhCfKTOi5qyfMX7nB73xYnm9ONRmuyL93ci0tPprgDu/tmbCTnd8+PEmGOtfmzZdxxFDitsZjEhrz17qX9S9jWMhfkx0cQp5UKpPKwZK7ZF45SWuBWNdXG5377jmFXqwHWzSia2swoYR4iIJobtZ6Lc1heUFPO03qA0/sI66hlQLpd/ILvlIiIiY+P9g7KFdY+I9DA4JKH5Qj8ePnDlh4Q3r6pFGfuuiXLGifYe7Hox/p2tXS82Ya4nH/UzirJWLuYuRKQHxhYi0sO7nb2KseXdzl7UTS/MdvGISIPAYARb9jWOehewEY/fuTSr5WLuQkR6MOo7OESkjV7vwmZ0IixBEBwAvg7g5kxu9/K2NwHYBABVVVWZ3jxRRgUGI3EDkIDhoNEfimheR3tPUHEd7T1Bzcu3dA1g14sn4z7v6A1qClodvYPY8et344Lejl+/i2tmFBpqcGq6YotSkN95eeKFXS+eRHBIwoG3O7DzwMm4mRDVJlIYj9r5bfUnfi7JUPyu1nM5UlWRA9++bSHOdg/EvWgwx+NCVbG2wYJqZU+lPJRdPJfqjJa39A6G8c///XbC4Nbv335tFkuVnOoSJ3ZsWJQwq2x1iTPbRSPKKKPFFyNTy2cFAePGEKXc7qtPH0WRw4rls0sVcx497ottKuts05jTj0Vttu4ih4X39ymIsYUyZay+irFiTFvPIIJDEm5dXIlv7U/Ma+dWuAzV15AJuZAfM7aQkaXzl0vGygMFCIrtcaW4FY11o9fT3jOY5N5pkwtxRA3jCxHpIdnYwv5xotyWqecmycaWyfA8h4gyg+0iGon3D0oX5i5EpIdUYkv03VRguL/l4QNNjC1EOaTVr/zOVps/iPoZ6dsOcxci0gNjCxHpIdnY0t0/pBhb/uOOJbqVkYjSq13lXcCONL8LyNyFiPTA2EI0tbQpzE2iZZzXeDI6ERaAqwDMAnBEEAQAqATwhiAISwGcAzCya7ry8mfnAHxg1OcvXf68UuH7imRZfhTAowCwZMkSeWK7QWRszjwzbBYx4abvsJo0r6O8IE9xHeUFeZqW97hsKstr+1Ul/8AQihxW3Lq4EsLlsWNPv34WlwaGNO9DJqQrtqgNeIjuu80iIiJd+VzLTIiSJON0VwDtPUF4XDZUl1yZaErt/HjdiZ+bLk/2kOq5HOlMd3/cJFjR/fnik4cx36ttZseJ1i0yDp5LdUbLW4JDEcWYPDgqbhmZKApY7avAvIYV6OgNorwgPi4STRVGiy9GpnafWjG7FLdeM33MGNLeE1SMm4daLqKyyK6Y8+hxX/So5PQejTn9WNRm69696Qbe36cgxpbcMVY7MRc4rKn1d3hcw/FQEJQneu4PhXUpr5HlQn7M2EJGNjoXKnJY8XZbD2wWEdUlzqSup7HywNNdAc1xKxrrEtbjmnjupyQX4ogaxhci0kOysYX940S5LVPPTZKNLZPheQ4RZQbbRTQS7x+ULsxdiEgPjC1EU4/XbVfsO61wp7fvlPGFiPTA2EJEekhXbAkORXQtJxGlT6beBWTuQkR6YGwhmlryzKJi3mIxiRNab0YnwpJl+RiA8uj/C4JwGsASWZYvCIKwD8DdgiD8AsD1APyyLLcKgvA/AP5ZEISiy4vdDOBrsixfFAShRxCEZQD+AOAOAN/N5P4QGVUoEkHDylrsPDg82ZDNIqJhZS2GItpv+maTgG/e4sM3n22MreObt/hgNmkbyFRd4sSODYtiA8JsFhE7NixCdYlT0/LFDis++6fV2PHrd2PL3/OhOSh2WDXvQ64IhyVYTCIaVs2GJA8naK3+IGwWEbKM2Pl74tWW2DLj/Sq4JMnY39iWcPxX+yogioLq+fF53QmfL6hM/CyZczlyoLUoCKoDj7X+yvlE65ZR5fqA9FRM1nM5GZXlK8fk0nxLtouWFFEUUFOWP6FZZIlo6lC7T11XXTzuPdrrtuGOG2bGJv+0WURsXlULAKo5z8jtFTms+PiSSswuy0ffYBjhsASzOfnGf55FxAMfW4D3OgOQ5OEJTmvKnLBZJtaREM1blHK6oUiE93ciFeGwhMZWP1r9QXjddvi8rpSu7VSN107MZDlSbfuk2t8hI4IHPrYAJlG5g7WqeGrGKObHZGRG7ycZOam9123D7ctmxsWmZOJrNA98YP8JrFk4HSYRuLaqCJVue6xvUEvcisa60bmfDP0eBDOOEBGlrrrEiUc+fQ2OnvXH4vaCSjfbz0Q5osSp8izbmd3nJpPleQ4REWUW7x+ULax7RKSHsnyr4vsajC1EucPndeHhTy7CUFhGYDAMp80Mi0mAz+vOarmYuxCRHhhbiEgPs0udirHlqlI+iybKFeGI8ruA4Uh2J7Rj7kJEelAbg1fh1ueHgIkovfzBEP7xw/PR2TcYy1tK8/PQGwxNaL26ToQlCMLPAXwAQKkgCGcBbJVl+YcqX38ewIcBnATQD+CzAHB5wqv7ALx2+XvbZVm+ePm//z8APwZgB/Dfl/8hmvJKnHnYfegMNi6vgSAAsgzsPnQGq+sqNK+j0G5FWJKw6cYaSDIgCkBYklBo1zYRlSgKWO2rwLyGFejoDaK8ILkBaxazEGsQAcOD6nf8+l3s+fwyzfuQC8JhCXuPnMO9e4/HDeLdfegM7vnQXEwvtOHmq8vR8Is30eoPxpYb71fBT3cFYoObgeHjd8+ew5jXsAI1Zfljnh+lzwGkdC6VBlpvWXM1ZpbY0dI1oHl/Rppo3TIiowxIz7TJeC4nK0FQjsk//5vrs1wyIiL9TOQ+FZEQ64ADhuPmwweasHlVrWrOE93e/IYVONTSjW88cyU/vH99HdbXT096whyXzYLuwBAefbk5tq5/WD0PBZWpP2iI5i3vtPUoTspQ7MzD4qpi3t+JRlFq+6V6badqvHZiJky07ZNqf4fTakV3IIAf/f5UwkRaOzYswiy+4EFkKLnQT+Jx2WK50K2LK2NxBUg+voqigA/OLcfAUAT/+KtjcfeJtQumKU4yqhS3orFudO53FSepIiIyrFBYjovbOzYsynaRiEgjUeW5yc8+l93nJnyeQ0REqeD9g7KFdY+I9CBDUHxf4z83MrYQ5ZKegXDcu1P3ravLdpGYuxCRLhhbiEgPYRmKseWmueVZLhkRaeXMs+Dd9sR3Aauz/MO/zF2ISC9Kfbp/Orsky6UiIi28bhs6e0Nxecu2tT5UuLXNG6JG14mwZFn+1Dh/rx7x3zKAu1S+9xiAxxQ+PwQg+73aRAZTXeLEV1fPTxgglcyvSPcGh3D/f51IGNi+Z5P2iahEUUBNWX5KA2rb/YNx2waGk5d2/yBQmfTqDKux1R8bCA0M7+POg0346cbrsbiqCKIoQJLkpM9ne09Q8fh19AZj50Pt/Kh9nsq5VBpovf25t/CvGxbh7ydQPydSt4zICAPSs2WyncvJqrNXOSZ39k5sRlYiIqNL9T7V0auci80odoyZ84iigJ7gUOxFruhy9+49jtryfNTPKEqqHBEJ+Jf9b8et61/2v40VtWVJrWekaN5S5LAqTiYTnfSK93eieEptv1Sv7VRpaSfqbaJtn1T7O2xmUywePvFqCzYur4FJBFbOLcfCykLDTKxDRMNyoZ+kusQZm6BKEDDh+HqivSc2CVZ0+eh9QuvkrCNjXXQd/7L/bTx39/IJ7i0REekhF+53RKTuQl9IMQe80Jfd5yZ8nkNERKng/YOyhXWPiPRwMaDcXuvuZ2whyhWNrf6Ed6e+8cxxzPFk7v0KJcxdiEgPjC1EpIfTXQHF2HK6K4BaT0GWSkVEyRCgPA4kmbHdemDuQkR6mCrzSRBNVoNDMrbua4zLW7bua8Qv/mZieYuuE2ERUXaIoqB5gJSa837lAbKt/iAWzkh3iRPZrCbYLGLCRFw2q0n/jWdQq8px7uobjJ0vURRw83wPdm9ahlZ/EF63HT6va8zz6XHZFI9fecHEZk9MltpAa5tFxE8+uxT9oTCqip2YVZpc/ZxsjDAgndRJkozTXQG09wThcSUfTycDm0UlJlvELJaKiMi41HKx+RVj53CAen7Y5g+iPsk8XG1Crs6+IK4qTy3HiOYtrf5gbDIZQQBWzC7FddXFOXuP5P2e9JbOaztVRmgnTrTtE+3vuHrzCrT3DCIQCmOmhl836uy78nCk1R/ErhdPAgD+5KoSXutEBpTufhI97vMj+187+wbxg982Tyi+jn2f0DbJ6MhYN3IdFwKDmA2+xEZEZDR8LkCU26LPSIz23ITPc4iIKBW8f1C2sO4RkR7UYkueZXK9e0w0mRnh/QolzF2ISA+MLUSkB/XYwnYRUa447w+iyGHFrYsrIVx+1fHp189mbGy3GuYuRKSHqTKfBNFk1abyLmx7T3BC6+VEWEQGFQ5LaGz1x018ZDZrbxCEwxIuBkK40BeCRRRR6bbDmsRNf1qhHTdfXYq/XDYL3YEhFDst+Omrp+B1Z2aAbLHTgs2ravHwgabYxEmbV9Wi2GHJyPYzxeu2KyZoFSOOsyTJeOFEe+yXwW0WETs2LMJqX4XqoL3qEid2bFiUsEx1iTO2zlQGAI5erqrIgTPd/arrURtonZ9nRnvvILwuG2YU2ic8+HD09TLfU4Cz/oGsTGQw3rFV+rsRBqSTMkmSsb+xLanrbzJy25RjssuWWzF5ovdWIsoNqV7r6ZwgQSkX+9atCzGj0D5u2Uuc1nHzQ63KC5RzjLL81HMMj8uGmSV2rFk4PfZQ5dkj53DrNdMhikJOTijF+z1lgpa2n97GaydmgloMSabtEw5LePPMJXztV8c0X7PlBcrbdVhMkCQ5K9e6EXLTXIzZNDWkI1ZEKd3n//mjC7C4qhBVxROr86I4PEHVROOrJMkoL8hTvE+U5OfhtdNdsJpE9IciY16rarFuIrnfaEaIXUREkwWfCxDlNrdD+bmJ257d5yaT5XkOERFlFu8flC2se0Skh7ICC755iw/ffLYxFlu+eYsPZfmMLUS5wgjvVyhh7kJEemBsISI9FKk8xyqaZGMyiSazGcV2fG7FLHz7f96JXcdf/vO5qCwaezyK3pi7EJEeygos2HqLD9tG9OluZZ8uUc7Qqz+XE2ERGVA4LGHvkXO4d+/x2E37/vV1WF8/XdPAolAogr1Hz2PLM1eW376uDusXTtM8GVahw4QPzvfi80+8fmUda30odGYmbNjMJjitJmy6sQaSDIgC4LSaJt3s4z6vC/evr0s41z6vO/adUxcCsYF0wPAsiPfsOYy5X1iBq8rVfxXcahbijp/VPDwCLtWB/qOXm1lixxdW1saVffR6lAYCbl9bhy89dQQtXQMp1c3RlK6X7evqsOvFptg2MjWRwXjHVu3vN8/3ZH1AOik73aV8/c1rWIGaMvXrb7KxWgTFmJxnyZ1B8hO9txJRbkj1WtdjIiRnnoh/3bAIJ9p6EJGA//u/7yAiSapliZb9uweb0LCyFjsPNqnmh1qZTcC2tT5s3XelM3DbWh/ME0ipq4ocCTng/evrUFXkyNkJpXi/p0zQ0vbTmygKWO2rwLyGFejoDaK8IPMTH40VQ7QIhyX8v+YLsUmwAG1tZItJxl0fmI0tI+Lh9rU+tFzsw9lLwYzHKSPkprkas2lqmGisGEnpPv/1Xx3DphtrMK/ClZY6P5H4KkkyDr7TjjZ/MOEFkfvW1eHRl5uwaEZJXG6odq2qxTqLSZ7Q/kUZIXYREU0mVUUOxTZCKvc7Iso8iwmKz00sWX4Dx2pRLlce3w0kIqIx8P5B2cK6R0R6CEck/PtvTmLj8hoIAiDLwL//5iR2fXpRtotGRBoZ4f0KJcxdiEgPjC1EpIdZxXY0F9rjYsv0QjtmFWd3Ah0i0k6S5NgkWMDwe4/f/p938OTnl2W1XMxdiEgPQ2EZ3xvVp/u935zEI5+6JttFIyINaksd2L62Dlv2jZjnY20daksnNkcGRycQGVBjqz/28AYYbqjcu/c4Glv9mpY/et4fmwQruvyWZ47j6HltywNA26VQbNBUbB37GtF2KZTk3qSm+UIA//6bZkQuT/4XkYB//00zmi8EMrL9TDGbRayvn47dm5bh+3+1GLs3LUsYPNZyMRA3CyIwfD7OXLxyLCRJRnNnH1557wKaO/tw6kIAd//sTew8cBKPHDyJnQdO4u6fvYnTXQHVgf6nu8Y+tqOXW7NwekI9Hb2e6EDA5xtW4BebrscTdy7FrpeGJ6iKLpNs3RxN6XrZ8sxxrFk4Pan9S4fxjq3a389098cdp+cbVnDwsUG09wQVr7+O3mCWSpQdZ7oGFGPy+125cxwmem8lotyQ6rWean401vreOt+Lv99zGDsPnMSuF0+ipWtgzLJEy97SNYAnXm3BxuU1aFg1G0/cuTTlyQVa/UH820vDnYF3r5yNjctr8G8vnUSrP/X4faa7X/EYn+nuT/txzBTe7ykTtLT9MklOz5woSRsrhmjR2OrHm+9fGreNPFqrX7mPoyTfnpU4ZYTcNFdjNk0NE40VI6nd5yUZutT5ZOPr6a4Ajp714/7/OoHHX2mJ5W2bbqzBQCiMWk9hbBKsaNnVyq0W61r96enPNULsIiKaTM509+O7B5vi2uzfPdiU0v2OiDLv/a6g4nOTs12DWS3XGZVyvZ/lchERkbHx/kHZwrpHRHo41z2Ilq4B7Hpx+N3Z6Psa57sz8+4zEU2c2Sxi7YJp+OnG6/HIp6/BTzdej7ULpmX9h1mYuxCRHhhbiEgPjW19eOjX78TFlod+/Q4a2/qyWzAi0uz8JeX3Hlsv8Xk0EU0+5y8FFft0sx3ziEibxrZe7Hop/l3YXS81obGtd0LrzfLvURKRkla/ckOlzR9E/Yzxl29TGeDV3qN9IHd776DyOnq1Jw6SJON0VwDtPUF4XDZUlzg1T+zjzDOhuz+EXS+ejH1ms4hwWE2at29ko4/NgumFqJ+hfGycVjNsFjHufAwfC3NsXfsb22IDWG0WEd+5rV51ML8sQ/VvNWX5qmUePXBQELStRxQF1JTlo6YsH88dPR+bBGvkMsnUzdHUrhdBiP//8fYvHcaaRKGmLH/cv0f/IePwuGyK1195gS2Lpco8u1U5JudZc2dO1YneW4koN6R6rY93j05WV2AQpfl5SZVlZNlb/cFYzPV5XSm/yHWhLxTrDIwrX1/qL3iOdaxSzTOzjfd7yhSzWUT9jKKs5R5KbccdGxZldBLeicbbVn8Qkowx28hKOlT6OLr6BrMSp4yQm6b73keUTumsn2r3+Wjeko46P5H42t4zHNeCQ1JcDggAd6+crbn/DVCPdR1J9OeOxQixi4hoMmnvCSq22ZmPEeUGoz43MWq5iIjI2Hj/oGxh3SMiPditJsXnAowtRLlDkmT87zsdWX23QQlzFyLSA2MLEemho3dQ8Vl0Z5reISIi/Rm1f4O5CxHpQS3m2RhbiHJCW49y+6O9Z2LtD0YAIgPyuu2wWeIvT5tFRIVb20Bs7+UBXqOX97i0D+T2uPJU1pGnaXlJknHwnXbsPXwO/++9Ljxz+BwOvtMOSZI1Le+wmLF5VW2sDDaLiM2rauEcY2BrrogOjvvwzt/iU//xB3x452+xv7FN9dh4XHkJx+Iba65GKBJBc2cfTl0IxB72AcMD0Jo6ehXPX3mBLTYAUOlvY1FbLpn1pKNuJqxT5XqR5fj/z8REBuMd21SPPWVPdYkTOzYsirv+dmxYhOoSZ5ZLlln5ecoxuSAvd2LyRO+tRJQbUr3W032PtppEnO3u11QWSZLR3NmHYqdV+fsTypOU92si6xzrWOVqrsP7PU0Vp7sS24737DmM012BjJVhonHC67bj2SPn0LAysY08Vn9FhUofh9tuyUqcMkJumqsxm6aGdNZPpft8w8pa/PKNs5rXGc3XXnnvApo7+xL68CYSXz0uG0yCch9b9D1+rcdCLdZp7c8djxFiFxHRZMJ8jCi3GfW5iVHLRURExsb7B2UL6x4R6YGxhSj3GeHdBiWML0SkB8YWItJDeYHyO0RlBel5h4iI9GfUHMGo5SKi3KYWW/IZW4hyQoVbnzEMjABEBuTzunD/+jrcu/d47JdM7l9fB5/XrWn5BdPc2L6uDlueubL89nV1WDhN2/IAUFdRgO1r67Bl34h1rK1DXUWBpuXPXAygqb0Pj77cHFt+86pazC7LR3Xp+L9k3R+K4PFXWrBxeQ0EAZBl4PFXWrBoRqHmfTAqtQd08xpWJPzKtyTJiEjAVWX5+M5t9Th7aQAzix34l/0n0NI1AJtFxHduq4+b6RQA9hw6i3/+6AJ8/VfH4n4NJzqYf8eGRQm/lDPeQP/owMHocs8eOZdQT8dbTzrq5mhK18v2dXXY9WITgMxOZDD6GI3e9nh/J+MRRQGrfRWY17ACHb1BlBfYUF3izOqvSmWDDAnTCm3YdGMNJBkQBWBaoQ2ANO6yRuHzuvDt2xaiqaMPkgyYBGB2eb7meysR5YZU8+h036P7QxHsOXQWDStrsfNgU1xZQhEJzZ19sXXvb2zDPXsOY055Prbe4sO2Zxtj3996iw+FTktKZQCABV7l3GvBBHKv8Y5VLuY6vN/TVNHeE0xoOwaHJHT0BhPaonqZaLwtcprxhZW1+O7BJmxcXgOTCFztdSHPLKCqWH0ddRWuhD6ObWt9+Omrp7ISpyba75MObJ+SkaWzfkbv83O/sAIn2nrwbnsvnni1Bd39IU3rjE5oP9YvTk8kvlaXODHf68LmVbV4+MCVvPHLfz4X0wvt+NZ/n8DXVs9DV38o1pZdUOlWLLdSrNu+tg4LKlxJHjVlRohdRESTCfMxotxm3OcmRi0XEREZG+8flC2se0SUftPcFkwvtMfFlumFdkxzp/7uBRFllhHebVDG3IWI9MDYQkTpNxSJJLzD3rCyFkORSLaLRkQazSl34Gz3QEL/xpxyR5ZLxtyFiNJvKBKBw2KKiy0Oi4m5C1GO8LjysH2tD1v2NY4Yw+CDx82JsIgmHbNZxPr66agtz0ebP4gKtw0+rxtmszj+wgCsVhPWL5yGmlIn2nuC8LhsWDjNDavVpLkMDrsVa+o8qC51oL1nEB5XHuoqCuCwWzUt394zGBu8BQw/gHr4QBMWVxVpmgjL47Khuz+EXS+ejH02WX4JW+sDOqWBdv/80QWxSbCiyzV19MJmEePW2d0fwuKqQjyvMpg/lYH+ShMEVBU5sLiqSPN60lE3R1O6XuZ7XFgyU3u50mW8SRQ4yUJuEkUBNWX5WX6Anl0RScB/HT2Hv1w2C5f6h1DosOA/Xz2Fzy2fne2iaSaKAkRBjJug8aGPL+L1RzTJpJpHp/seHc1ln3j1ysSuogBc7BvEl548GhvcerW3IJbrHT3XA/yhBd+5rR4RSYYgCvjBy+9hVqkDM0tSuwfpkXuNd6xyNdfh/Z6mAo/LltB2zHQ7e6LxtrMnhOBQBOsWTYckD382MBSB1zX2Oux2C26pq4jr47BZRFxXXZyVODXRfp90YPuUjCzd9VMUBVxVno9ZpU5c7XXhT64q0bxOLRPaTyS+iqKAknwrTl0I4Nu31aN/MIzOvkH84Len8N1PLcJPPrsUb5y5hG/tfztukhQlSrFuQYULdnt6BvcYIXYREU0mzMeIcpuk8tzkb1Zk97mJ2vOcbJeLiIiMjfcPyhbWPSLSQ8vFEMLhEJZfVYr23iA8BTacvdiDloshVBRmu3REpEV5gfKzt7L87I4hYO5CRHpgbCEiPVhMJuw+dCb2DrssA7sPncGSmfXZLhoRaeTIy4Pbbsac8gIEQmE4rWYU2Exw5E1sQomJYu5CRHoozbfjsd8fw5qF0yEIQEQCHvv9KTz210uzXTQi0qD10iD+90Qrvn/7tXH5wcwSJ6qKUx+nyYmwiAzKbBZRP6MI9TNSW95qNWFJdfGEyuCwW7F0VklKywZCYcXJnvpDYU3Lm0Rg86ra2GRaNouIzatqYZoE46q0Do5TGmj39V8dw8blNXEThO05dBb//NEF+PqvjsUNiKsqdsYG9I+W6kB/peWSXU866uZoStdLtiYyGO/YcpIFykWD4QgWzSjB5594Pe4XIUI5NKvy6a4AvvhkfEz94pOHMd+7gtcj0SSTah6dznt0dYkTOzYswj17DmPXiydjueyPft8C4MoECj/57NK4nPDouR7c/fM3cffK2Xjk4Mm0TFCjR+411rFirkNkXCNj08i2Y3WJM6PlmEicCIYjuP+/TiS0p3/410vGXdZut6Tcx6GHifb7pANjNhmZHvUzlXVqmdB+ovG1xJkX94MCwHBsK3bmQZIR6/OLbnv0RFwj6R3rjBC7iIgmE+ZjRLlLgoxrquKfm2xeVQsJMstFREQ5h/cPyhbWPSLSQyAUxj1PvZXw+Y8+M/7zRCIyBqOOIWDuQkR6YGwhIj0MhiP4xJIq7DzYlLPjf4imutNdAXz+p28kvFP4vMp7g5nC3IWI9GASgU9eV2W4viAi0iYQCuOFty7ghbcuxH3+qaXVE1ovJ8IiIl3MLHYqTvZUVaxtAFirP4jHX2mJm3388VdacE1VIapLc3tAgNbBcWoD7UYnb939ISyuKsTz/NVwItLJNLcD9+49nvCLEH/uy51ZlbUMXiYiShdRFLDaV4F5l/MzAQL+bvdhtPqDse9EJ4lVypllGVmboIaIJq/RsSkX246DQ5JiThcKSypLEBFNjJYJ7ScaX8fqK/zDqS62ZYmIiIgMKBCMKD7LnldRwHIREVHO4f2DsoV1j4j0MNF3l4ko+4w6hoC5CxHpgbGFiPQwGcb/EE11Rh0Dx9yFiPRg1L4gItJGr+cynAiLyKAkScbprgDae4LwuJIfnBoOS2hs9aPVH4TXbYfP64LZnNz0lxNZx6xSJx77zLUIR4CLgSEUOy0wm4Y/18LjsqG7P4RdL56MfTZ6kNl4JnoM9aJ1cJzaQLsbakrwzOFzaOkaiA2MqyoeXr66xInTXQH84VQXygtsMInDSaCR9l/reRn5vWT3JZW6a9T6QmQEs0qd2PnJegwOAe29w9fIzVeXao7pRqBl8DIRTW3pzgVEUUBNWT5qyvLR3NmH7v5Q3N+jDfrRkx488LGFmF5ow8cWT59wGSRJxqkLAbRcDMBpNcPjyovljROhZb0TyeUyTZJknLkYQHvPIAKhMGYWOzGr1FhlJEqXkbFJTTrjodK6JEnW3F4bvfys0uEO0iKHFbcuroQgACYBmiYNTEc/yWTDdjAZzcg6Ob3Iho6eENp6gvC6bFgwzQ2r1TTh9SZb18eapEppvam8ZKLWVwgADqs5qbYsYx0RERFRZswscWLF7CL86ewSXOgdRFlBHjp7AlkfWG3UchERkbHx/kHZwrpHRHqYVerE7k1L495zyzNrf3eZiLLP47LBar7yLE8QAKtZyPq7nsxdiEgPjC1EpIdZpU58dfX8hPed2C4iyh0elw0brvVi/eKqWI7wqzfOsF1ERJOSx2VTjC3ZjnlEpM2sUuXxFhNtf3AiLCIDkiQZ+xvbEi741b4KTYO0wmEJe4+cw717j8eWv399HdbXT9c88Gmi6wiHJZztHsSWZ64sv31dHcIzJE2D1sYaZKbFRI+h3rQMPlY6Bg0ra/EPvzyKez40F9MLbSh25sUG7ynt8+ZVtXj8lRZ094cMsf9az8tE9iWVumv0+kKUbQODIbzT1o8t+0bE9LV1mF2aD6c9L9vF06TSbcf2dXUJ96VKtz3bRSMiA9A7F1DLbWeVDk+4NN4Eqenap82ralHrycfKuZ4JTWoz3npzIS8duT8H32lHU3sfHj7QxFyQprx0xkOldX3/9sXo7A1paq+pleX7ty/GW+d7467ZuRUuzBwjfqajn2SyYTuYjGZknbxhVjFWL/Bi677GuPbb+oXTkp4Ma6J1faxJqtJ5DY3uK4yW+4H9J9CwshY7DzaN20fKWEdERESUOWUFZiypLsOdP34t7rlJWUF2X8ExarmIiMjYeP+gbGHdIyI9TIb33Iimukq3HXfdVGu4dz2ZuxCRHhhbiEgPau878b1AotxRmq+cI5Tm83k0EU0+Ro15RKSNXu0Pjn4gMqDTXYHYICoACA5JuGfPYZzuCmhavrHVHxvwFF3+3r3H0djq11yGia7j6Hl/7AFUdPktzxzH0fPalhdFATfP92D3pmX43l8txu5Ny3DzfO0D9id6DDNBkmQ0d/bhlfcuoLmzD5Ikx/09Gvh3b1qGhlWzsXF5DZ54tQUtXQP46tNHUezMQ01ZfuyYKO3zwweacOviSsPsv9bzMpF9SaXu5kJ9Icqmxra+2MtBwOWYvu84Gtv60rqd8eLiRJxo78GuF5uwcXkN7l45HFN3vdiEE+09adsGEeUuvXOBaF73fMMK/GLT9Xi+YUVskoTopAfLakrjcjut1GKnWj519Kx/QvulZb25kJdGne4K4OhZf2xCHYC5IE1t6YyHSuvqHYhobq+plaXQZk36mk1HP8lkw3YwGc3IOvmZ5bNik2AByfcrqq03uq6x6rpSbqWUr+l9DUXX39I1gCdebcHG5TVoWDUbuzctU51si7GOiIiIKHPebgsoPjd5uy27bSqjlouIiIyN9w/KFtY9ItJDpt5zIyL9nGjvURyDkO13PZm7EJEeGFuISG9y+obkEFEGGTVHMGq5iCi3MbYQ5b6Jjo9VwqnwiAyovScYu2FHBYckdPQGUVOWP+7yrX7l5dv8QdTP0FaGia6jTWUf2nuCmrYvSTJeONEeG1Bms4jYsWGR6kCv0SZ6DPUmSTL2N7aNu3+iKKA/FMHOAyfjlo/uS3WJE6e7AmjvCWJgKKK4z4IQv0w291/reRn9Pa/bhlsXV6KqyI67V87G06+fVd2XVOqu0esLUba19wyqxPTBtG1Da1xMVas/iJauAex6MT6eJnNvJKLJKxO5QLRBn87cYqzYqbZPkowJ7ZeW9ap9x0h5aVR7TxCSDOaCRJelMx4qrSswGNbcXlMrS2sKZUxHP8lkw3YwGc3IOtkdGJpQv6Laekeuq6UrkPBLI8m0S/W+hkauv9UfjLVl/+SqEtU2MmMdERERUeZk4rlJKoxaLiIiMjbePyhbWPeISA+MLUS5z6jPvBhfiEgPjC1EpAe9x+YQkf6MmiMYtVxElNsYW4hICSfCIjIgj8sGm0WMu3HbLCLKC2yalve67YrLV7i1LR9dx8wSO9YsnB4bsP7skXOa1+FV2QePS9vyp7sCeGD/CWxcXhPb/gP7T2BeRYGmwWQTPYZ6O90ViHUoAcNJ2T17DmNew4rY/kmSjNNdAYiCoLgvZfm2uI6pzatmK34vOnt7dP+j623vCcLjsiUM+hu57bG+kwqt52Xk97xuG25fNhM7DzbFOuA2r6pFhUJdkiQZpfl5aFg1G5IMPP36WbT6g+PWf6PXF6Js87jyFO8JHlde2rahJS5ORDrujUQ0eRklF0g2BxsrdqrtkyhgQvs11nrL8m1jfmd0XppOWo/d6O+V5+fBJEA1384EvXJvolR4XDbFvC+Va1YpFjhtZs05mcOq/N3ygittPmC43dfdH0KpUz03ZS6YyCj3PqKokXWy2GlRaYMmXz/LC5Tr+pvvX8LAkBT3glcy7dJ0X0Oj8wGvO/n1M9YRERERZU4mnptMpnIREZGx8f5B2cK6R0R6YGwhyn1GfebF+EJEemBsISI9THRMJhFln1FzBKOWi4hyG2MLUe4LhSI4et6Ptp4gvC4bFkxzw2o1TWidnAiLyICqS5zYsWFRwszb1SVOTcv7vC7cv74O9+49Hlv+/vV18Hndmssw31OAu26qxZZnrqxj+7o6zPe4NC2fbxOxba0PW/c1xpbfttaHApuoafmuwCA+saQqbvKjhpW16AoMaup0megx1Ft7j/Kv1XT0BlFTlh83+3qRw4rNq2rx8IGmuPMpCogbnLfn0NmE721eVYvHX2mJ7X9VkWPcWd31nPld63kZ+b1bF1fG6kH0OD18oAk3X10Rt4xSuRtW1mL3oTP4wsraMeu/0esLUbZ5XCbc9YHZ2DIipm9f64PHNbFEdKTx4uJEpePeSESTlxFygVRysLFi59LqkoR92ryqFrWe/Antl9Kx2ryqFk6rCae6+jCr1Kn6nZF5aTqPrdZjp/S9H33mOpQ4E/Ptrbf4YNLWdMlI2YkyZVqBDXd9oBZb9o3oC1hbh2kpTOyiFAsKbCbNOVkoEkHDytq4foG//+ActPqDePTl5oQYFAxHVMvCXDCREe59RCONrJMvnmhTaIPW4WpP8m1Dk4iE+3zDylo88WoLuvtDcZNcJdMurSpyKMaVqiJH0mVUywce+fQ1uPtnb2q+RhnriIiIiDKnvED5uUl5Qfqem0ymchERkbHx/kHZwrpHRHoocijHlmIHYwtRrphblo/ta+sS3luYW1aQ1XIxdyEiPTC2EJEe1MZkXtQ4JpOIsi8T4/hSwdyFiPRQnq8SW/IZW4hyQSgUwd6j5xPmpFm/cNqEJsPiRFhEBiSKAlb7KjCvYQU6eoMoL7ChusSpeSC02Sxiff101Jbno80fRIXbBp/XDbNZ+0jus/6BWMABhgd9bXnmOJbMLNLU6XGyox/7j7Xi+7dfi0v9Qyh0WPDj351Cfp4ZcysKx11egJAw+dHOg0346cbrNZV/osdQbx6XTfHXasovDy4+3RWIDX5r9Qfx+Cst2HRjDaa77TjTPYDvHmzC1lt8cctHv/eTzy6FDBll+TaYROCaqsLY/o9cLzB8XO/Zczhu0J+W76RK63kZ+b1323sVByF29gVxVfmV8iiVO1pnFlUWjln/jV5fiLLt/KVwrCEJXL4n7GvEjz5zHWaWpGcb48XFiUrHvZGIJi8j5AKp5GBjxc7oPs39wgqcuRiAw2qGx5WHquKJ7Vd0vZWbluHttl7YrWac7e7Hv/+mGd39ITx/ubwjj6dSXprOY6v12Cl975XmLjx56CzuuGEmvn1bPfoHw+jsG4R/IIS2niCqS/V94Ktn7k2UiuNtPbGXSYFo3nccNWVOLKkuTmpdarFVkmRNOVmJMw+7D52J/SqZLAMCZHzxySMJEyXffdNsnOseQN30QsWyMBdMZIR7H9FIo+vkZ370WlpiUbS/7Nu31eOd9l7IMvDEqy1o9QcBIG6Sq2TapWe6+/Hdg01xMeq7B5uwuEpb3+lIavnAf31hBZ5P4hplrCMiIiLKnFa/+nOT6lKWi4iIcgvvH5QtrHtEpIdWf0gxtjx6+7WY7cly4YhIk3c6e7HrpfjncLteasLcinzUzyjKWrmYuxCRHhhbiEgPVpOoOCZz96ZlWS4ZEWnV0qXev5GucXypYO5CRHo4060e86rLslw4IhrX0fN+xTlpakqTH/sxEifCIjIoURRQU5af8uBns1lE/Ywi1M9IbfvtPUHFyYdGDg4bS3G+Fa+cuogX370Q+8xmEbHpz67StP2LgUHF7V8MhDQtD0z8GOqpusSJHRsWxQa52SwidmxYhOoSJ4DE49/qD2LngZO4e+Vs7HrxJADAmWdOGJzX3R9CWUFe3D6PHLyv5bxO9NyPR+t5iX4PgKZBiGrlDkuSpgF/Rq4vRNnWFQgpXl9dScTk8YwXF9NhovdGIprcsp0LpJKDjRc7RVHAVeX5cZOHpoMoCgiEIvjK08cS/hYtr9Lx1GtSKa3HTul7kjycQz+w/53YZzaLiE031qRtMsax6J17EyWrTaVOtvcEU1qfUiwQRUFTTlZd4sRXV8+Pi3EPfmyhYvlCEQkV7rGvWeaCibJ97yMaLVon32rtSVss8rhs6O4P4Z32Xvzgt81j9i8l0y5t7wmipWsg1k8Xlco9XC0f6OwLYllNaVLrY6ybGm648Sa0tnWo/r29oz2DpSEiIpqaMvHcJBVGLRcRERkb7x+ULax7RKSH/lBEMbb0hyJZKhERJavVr/wcrs0fzOozMOYuRKQHxhYi0gPbRUS5z6jXMXMXItLDwJByzAuGJJUliMhI0j0OLYoTYRGRIo/LpmnyITWFdjO23uLDtmcbYwPHtt7iQ6FDW9jxuOyK2/e48pLbEYMSRQGrfRWY17ACHb1BlBfYUF3ihCgKANSPvyxf+W9PQV7Sk8ZoOa8TPffppnUQotHKTTSZVLjylGNyQfpi8nhxkYhosksll8lm7DRS7qW1LErfe/bIOTz4sYX4ytNHY7nm5lW1qPXkp3UyxomWnShTvCp10uPKfJ1UinF9g2HF8i2aUQif153xMhKRPtIZi6L9Sg/sP4GGlbWxXztU6l9KJrdK5z2c+QCNpmWiq3UPPqv6919+8SN6FIuIiIhGyMRzk1QYtVxERGRsvH9QtrDuEZEePCqxpZyxhShneN3KYwjG+3EsvTF3ISI9MLYQkR7U3kXKxnugRJSa8gLlHKEsn8+jiWjymabWF1TI2EKUC/Qah8aJsIhUSJKM010BtPcE4XFlfjKO/oEQjrf1or1nEB5XHuoqCuCwWzUvPzAwhGNtPbHlF1S4YLdbNC9fXeLEQx9fhC8+eWXyoYc+PvYkSyPVlrkQkSJ4/LNL0d47fAwd1uHPtfB5Xfjnjy7A1391LLb9f/7ogkk1sFUUBdSU5aOmLD/2WTgsobHVj1Z/ED/6zHV46IW3cajFHxuQ//grLbGBelXFTniceXj8zqVx53l0PR1Zl8sLbHjk09fg7p+9mTDoL7rtrsAgvvXRhfjar47GfUcUgFfeuxB3PYx3nSj9PRSK4FirH209g6hw5WGB1w2bTf12JIoCVtaW4Yk7l8YtM3o/lSbMun99HfpDYYTDEkRRiJXFYTUjFImgxJln+Il2Rp8/kzj8a0fZiEs0dfk8Lty/vg737j0ed33VVWiL6VpJkoze4BAu9Q/BbjFDkuS01vFgMJxU/CEiY0t3vj4yD/O67fB5XTCbxQmVr6UrgPP+AfQMhFGcb4XLZkJtmfJ6tU7+qbSdsWJnKBTB0fN+tPUE4XXZsGCaG1arSXE9yRzPscobDktoPO/HeX8QJflW9AaHUJpvm/Ax1VKWIocVd9wwE9UlTnT2DkIUgKri4X2pLnHikU9fg6Nn/ZBkwCQACyrd+EBtOXzT3DhzMQCH1QyPKw9VxcPHvbmzT9c24UTbXUTJGu9aXzDNrZj3LZyWvrZ4MvEmHJZwMRDChb4QLKKIqz0F+KePLsDOA+9izcLpMInA4qoiLKkaP76M7mcpdJhgFs1Ttl0lSTKaO/twqisAm8WEIocF8zz6xGmikbTEgHTGotjkVhUFCAwO4brqIrT3DsbyIqV+tNG5lSTJCXlidYkT3799MXoHIggMhuF2WFDktMR+uSSZ2KKWV1W67Tjyfjfae4IoceZBgjxuX9ZE+5QzLdt98EbV2taBZV/6gerfOdEV0eShtc1ORMbj87jwTx9dgH8c8Sz7nz66IO3PTSZLuYiIyNh4/6BsYd0jIj34Ktz49scW4ssjfgzr2x9biLpJ9O4x0WTn8yrnCNkeQ8DchSj3pfsd0XRgbCEiPQy/m1yPLz55ZMS7yfV8N5koh1ztcSX82PeDH1sIH59HE9EkNL9COeZdXcE+XaJcsGCaG9/66AJ8bUR+8K2PLpjwODRdR/4LgvAYgDUAOmRZrrv82bcB3AIgBOA9AJ+VZfnS5b99DcBGABEADbIs/8/lz1cDeBiACcAPZFn+l8ufzwLwCwAlAF4HcLssyyE994mmBkmSsb+xLWHw0WpfRUYG4vQPhPDc8XZs2XdlsNf2tXVYU+fRNHBpYGAIzx5vS1j+lroKzZNhSZIMSZaw6cYaSDIgCoAkS5onJRkcGsJb5/sTyjCrOB9m8/izcIbDEsyiELd9sygMfz5JB2WGwxL2HjkXN8jvvnV1uPcjThTYrDCJwDVVhSgvuDKhlNJ5XrvAG5vYRa0u79+8Am2XJ1aqLnFCkuS4bc8ssePf/3IxbBYTygtsONXVh9UP/zZuHTfP9+CFE+2q14nStr/7qWtwqX8I33hGvcyjhUIR7Dveii0jl1lXh/ULp8UNCIkObJxz93I0tvbgvc4+PPTCu+juD+Hbty2EKIhxEww0rKzF7kNn8NXV8zN2bSdL6RhGJ0Tr7g9lNC7R1DaICKwmMS4mW00iBhGBHdonWRyLUgy8f30d1tdPT0vcDwbD2HesdcyYSUS5I935erpjkCTJOPhOO5ra+/DwgabYOret9eHMxQGsmutJWG9skoaGFejovZKnjbU/45U7FIpg79Hz4+ZRqRxPtfKOziujedf2Q2/hCytr0xbXlcpy9eYVeOPMpbjJdDevqkWtJx8r53oAAKGwjEdfbo6f8FUUcFV5Pq4qvzJBbabahBNtdxElQ0u9liRZMe+TJDljZYhSjGFr6zC3wo4vrJyDe/ce05zXKfez+NDa3Ydab9GUa1dJkoz/Pt4W10bevKoWpy4E8Bc+76Ttd6Hs0xoDIhFJMRZFIhKGHxEkRxQFVBU5xs331PrmXHYzNv8ifuL1NT4vOntDcd9Ntc9GKa+qdNux79j5hJxqrL6sifYpZ1q2++BpYm648Sa0tnWM+R1vRTleefnFDJWIKPdobbMTkTENIgLLqGfZFlFI63OTyVQuIiIyNt4/KFtY94hID/2RIchAXGyRL39uTeEZAxFlh9UkjHpWmP1nR8xdiHKb3u+pp4qxhYj0EBwcQkSS42JLRJIRHBwy5DtERJQoKIcBxPdvRD+36TstxJiYuxCRHvqGhqeGGR3z+oZCKDTbslgyItJiKBKGaVR+YBIFDEXCE3ouo3dvzY8BrB712a8B1MmyvBDAuwC+BgCCIFwN4JMAfJeX+TdBEEyCIJgA7ALwFwCuBvCpy98FgAcA/Kssy7MBdGN4Ei2iCTvdFYgNwAGA4JCEe/YcxumuQEa2f7ytNzZgKbr9LfuO43hbr6blj7X1KC5/rK1HcxkaW/34zgvvIDK8Ckgy8J0X3kFjq1/b8m192HOoBQ/eVo8Hbl2Ab99Wjz2HWtDY1qdtH1r9ePyVU5hdXoAZhXbUlhfg8VdO4ZjG7eeixlZ/rGMdGD5v33jmOARheGB+dWk+ltWUoqYsH6Io4FirX/EYH2v1Q5JknL7Qh1eaL6AvOIQvrJwNr9sWq8uSjLh1jd52S9cA/s9/vgGH1QRBAO7+2ZsJ10Njq3/M60TpOjp2zh+bBCv62ZZ9x8c8r0fP+7HrxSZsXF6Du1fOxudW1GDXi004ej5xGVEUEAiF8dWnj2LngZNo9QcRHJLQ1NEXG+Ab3e7Og01Ys3B6Rq/tZCkdw4cPNOHWxZUZj0s0tb3bFlCMye+2pa/+KcXAe/ce13zfGc+xVr/yvXES31eIJrN05+vpjkGnuwJouzSAGUUObLvFh+9+6hrMKc/H1n2NGArLqusVRQE1ZfE530TKffS8PzagNvr3Lc8cT8ijUj2eSuWNlqnIYcVdNw3nboPhCD55XdWYx1SSZDR39uGV9y6gubMv6Ul3RFGAJCM2CVZ0Px4+0ISjZ/043RXA6a4AHth/Ii6vfGD/CcX9zFSbsLHVjy8/NZy7PnLwJHYeOIkvP3U0bfc/opG01OtjrX489Ov4voCHfv1O2nKmZK5DxRi27zgGhwR89+C78W3El5rGLOPIfhav24aNy2tw9tIAbqj14LHfvTfl2lWnuwIJbeSHDzShqaOP8Yd0pfX+eqytR7lfMIm+zdEaW/347sH4/qXvHmyKq/NqfXNDYTkh3zqm8N2J9NmMzqtOtPfE1r9wugsP3laPknwr7ltXpxq3JtqnnGnZ7oOniWlt68CyL/1gzH/GmyiLaKrT2mYnImPKxHOTyVQuIiIyNt4/KFtY94hID4wtRLnPqO/SML4Q5Ta931NPFWMLEenheFuvYmwx6jtERJTo3baA4vvc2c4RmLsQkR6MGvOISJvGtj7Fa1jrnDJqdJ36U5bllwVBqB712Qsj/vdVALdd/u91AH4hy/IggFOCIJwEsPTy307KstwMAIIg/ALAOkEQTgBYCeDTl7/zEwDfBPDvOuwKTTHtPcFYB2dUcEhCR28QNWX5Gdj+oOL223sGM7I8AHQFBvGJJVXYebAp9osHDStrcTGgbR2BUBi3XVuFrzx1JLb8N2/xIRAKa1q+LxTGxxbHL791jfblc1F00qaRgkMS2vxB1M9I/L7aMQpFIjj4TjuaOwPY8et3Y3/70s1z8cPfnUKrP5hQl8fadn8oovg3tWWi61a6jiQZSdfNi/0hxbrY3R9S/L5SudS2KwiZvbaTpRaLBOHKfxu17DS59KvEm4E0xuRkY2Cy2tJwbyQi40h3vp7uGOQfCMFiNuFLo+Lmz//YgkAonLbYNl6521SOU3tPMO6zVI+nJMk43RVAe08QHpcN1SVOtPqDKHJYcfuymXH52zfWXI0ih1Vx3yVJxv7GtthECDaLiB0bFmG1r2LcycBGl0VpPyQZ6OgNwiQKqm2c0fuZqTah3vc/opG01OuL/UMq7a+htJRhrL6G0deWWgwLDA1h041X4b7n3tJcxmg/iddti4tPj77cjK1rfOgZUG5fTlZqdUGSwfhDutJ6fw3o0C+opa9T7b48ervBIQltPYMoclhx6+LKWD/N06+fTVufTbQsC6e78KmlMxOOhVLcSkefcCZluw+e9Nfe1obqOT7Vv3sryvHKyy9msERExqK1zU5ExpSJ5yaTqVxERGRsvH9QtrDuEZEeGFuIcp9R36VhfCHKbYwtRDSV6PHuFRFl1qUB5fe5/QPpeZ87VcxdiEgPRo15RKRNt07j0MQ0lS9VdwL478v/PR3A+yP+dvbyZ2qflwC4JMtyeNTnigRB2CQIwiFBEA51dnamqfg0WXlcNtgs8ZeHzSKivMCWoe3nKW7f48rLyPIA4LJZYwEHGO7k3XmwCQU2q6bl861mfPPZxrjlv/lsI/Kt2ubfc1rN+N7LJ7FxeQ3uXjkbn1tRg++9fBIOjctnSjpji9dtVzxvFW7leue0mrHtufhjvO25RlhMJjS198UmwYr+7TsvvIO/vL5KsS573XbMLLHjrptm4+6Vw//MLLGjwm2LXQ9ety32982rZqOyyK74eYVreN1K15FJQNJ1s8huUayLhXaL5uOotl1ZVr62JUlGc2cfXnnvApo7+yBJsmr59KQWi2T5yn9nKi5RZhktb3GoxBt7GmNysjEwWRVpuDeOxyixg2gsRosvqUp3vp7uGBSRgK37EuPml/58LhxWM0rz89ISI8Yrt1flOHlc8fvlcdkUc8Gxjmd08qoP7/wtPvUff8CHd/4W+xvbUFlkx8eXVCbkb/c99xY+vqRS8Zie7grEJsGKfv+ePYdxukvb7P3Rshx5/5Li/ooCUF5gg9UkKuaVFpOYEMPLCzLTJhwrD88lkyW2THZaYmexQ7n9VeRQbn8la6zrcDSlGDazxA5AjE2CNXIdhWOUMdpPcuvixPi07blGhCXVRScltbogCjBU/GFsmXy05nBqfV7OFNugkiSjIE85vo3s61TLrUZv12YRUVlowx03zMQPf9eMRw6exA9+24w7bpgJp9Wkul/JiJblczdepXgslOJWOvqEMymbffCML5kRkWUs+9IPVP9pbevIdhGJ0irZ2KK1zU5ExpSJ5yZA8rElU+UiotzHdhGNxPsHpQtzFyLSA2ML0dSTqXdpGF+Ipha931OPYmwhIj0kG1vS/e4VEWWe2nhat8p42lQxdyEiPSQbWzIV84hIH0U6jUPL2kRYgiD8I4AwgP/MxPZkWX5UluUlsiwvKSsry8QmKYdVlzixY8OiWEenzSJix4ZFqC5xZmT7dRUF2L62Lm7729fWoa6iQNPyCypcissvqHBpLsPgUETxFw9CQxFNy3cFQorLdwVCmpbvCQ7P/jdyMNknllShJ2isGTzTGVt8XhfuXx9/3u5fXwef1634/a4+5WPc0TuIYodV8W/lBXmKdXlOqRN3faA27njf9YFazCnNR3WJE498+pq4wX3ff7kZLV0D+P7tixM+f6u1F5IkK15HV3tduG9d/D5uW+tD+RgD8obCsuK+DEWUJ49QOo6zy/Px0Mfjy9KwshbPHT2XcDzUJnXIxoQ2Ssdw86pa/PKNsxmPS5RZRstbOnoHFa/Dzt7BtG0j2RiYrAVet/K9MU3rN1LsIBqL0eJLqtKdr6c7Bl3oU46bh1q68YWfv4m//OEf0hIjxiv3gmlubB+Ve21fV4eF0+L3q6rIgS+sjM8Fv7CyFlVFDtVtq01eZTObcFVZvuL+X1WWr3hM21R+ba29J6jpOETLsufQWTSsrE3InRZWulFd4kR/SLmN0x+KJMTwU119GWkTzvcU4K6bRuXhN9Vivkd7280IJktsmey0xM6+wbDiddI3mJ5f6hnrOhxNMYatrcObZ7qV24hjzGblq8jH9rV1MIlQXPZCX/ry2lxQXeJMaCNvXlWL2nLlOJ0tjC2Tj9Yc7oJKGzSVazXaVnu7rWfcvk6l3Oq+dXWwmIWEfCs/z4KHD8Q/sHn4QBMikpyWvCFallBYOW5eVOhjjca60XHTV5Gfcjn0lM0+eMYXItJDsrFFa5udiIwpE89NgORjS6bKRUS5j+0iGon3D0oX5i5EpAfGFqKpZ25ZvuI77XPLtI2j0IrxhWhq0fs99SjGFiLSQ7KxRW28odL7RkRkTGpjs7vTfB0zdyEiPSSdu2Qo5hGRPtTGO4w1xkuLrEyzKQjCZwCsAbBKluXoyN9zAGaM+Frl5c+g8nkXgEJBEMyyLIdHfZ9oQkRRwGpfBeY1rEBHbxDlBTZUlzghikJGtu+wW/GRunJUly5Fe88gPK48+Cry4bBbNS1vt1twS10FqksdseUXVLhgT2L2S5vFBJtFjAs8NosIq8WkafmCPLPi8vl52sKOy6Y8+9/jn12qeR9yjdksYn39dNSW56PNH0SF2waf1w2zWXnOwmmFdsVjXOGyoQ1Bxb9NL7LjhprShLrc2N6LLfuOxx3vLfuOo6bMiSXVxZhVko+7f/Zm3N+/+ORh7P6bZQmD/u7ZcxjzGlagpiw/4TrqCgziF388g+/ffi0u9Q+h0GHBj393CjNLHJhZojwor6LQpryfKr++oXYcRVHAfO8KtPcE4bCaMBSRsLquIuHaVpvUIbpPmTQ6FpXl22ASgWuqCjMel2hqK823Kl6HxU5t9yUtko2BybLZzFi7wItZI++NXjdstvSkw0aKHURTQbrz9XTHoOivh42Om5HL/5uuGDFeua1WE9bWeTGrxIG2nkFUXI59Vmt8Tn+mux/37o3PBe/dexyLq4pUy9feozx51YXAIOq8LsX993ldisc0zywqft9i0nb8o2Vp9QfxxKst2Li8BoIAXD+rGDOK7KgqHq4bHpdyXumwmvDZH78Wt/93/+xN7N+8As/r3CY86x/AlmdG5eHPHMeSmerHnihVWmKnU6Utn65fAlO7Dj2uxPad1WrC+oXTUFPqRHtPEB6XDT0DQ5BkKPdXjBGz2/uGcOh0Jz62ZCYefbk5YVlvmn/d0ehEUcBf1FVgrmc5TnUFYLOYUOSwYJ5HOU4TpYvWHK60IE/xOi91qk+kribaVvv+7deO29epllsBwO5Ny+I+e63lomIuVFuej+cbVkw4b4iW5Y33uzW3x6Ox7rHPXIcLfYMozc/D3jfOYEl1EWrsyR87vWW7D56IKNuU8t2F0xLb7ERkTJl4bpIKo5aLiIiMjfcPyhbWPSLSA2MLUe57p1P5nfa5Ffmon1GUtXIxvhDlNr3fU08VYwsR6UFtvOFUe0+SKJflq73PrXFstl6YuxCRHowa84hIm2mFDuX2R6F9QuvNeI+NIAirAXwFwFpZlvtH/GkfgE8KgpAnCMIsALUA/gjgNQC1giDMEgTBCuCTAPZdnkDrRQC3XV7+rwE8k6n9oMlPFAXUlOVjWU0pasryMzoAR5Jk/ObkRdzx2B/xhZ+/iTse+yN+c/IiJEkef+HL7HYLls4qwS3107B0VklSk2ABgD8YQsPK2rhfPGhYWYveoLYZNO1WEzavil9+86paODW+wH+hT3l24K7A5JodWJJkNHf24ZX3LqC5sw+iKKB+RhH+vM6L+hlFY3asq/0qxcJpbpQ6rYrHf3qhXbEut6lMZNDeEwQAdPQq/71VZbmWrgAkSU64jkqceXjl1EX89WOvYfMvDuOvH3sNr5y6iPIC9c60qiIH7hv1q+j3ratDVZFDdRmzWUw4jtGy3HBVKepnFGFJdYnita02qUNHb1B1e3oaeQyvKs9HdWl24hJNbU6rCdvW+uKuw21rfXDmpXdQltK1m042mxnXzSrBmvppuG5WSdomwQKMFzuIpoJ05+vpjEFKeVrDylr88o2zse+kK0aMVW5JknGwqRO3X25X3P7YH3GwqTOhXZFsDAuHJVhNYmz/omwWEeUFNswqy8eODYvi9n/HhkWqEzv5gyF86ea5cd//0s1zx2x7jMyjHVZzbNlWfxC7Xhz+NcjphXZUl16pG9UlTsVyhSKS4v639QR1bxPy/kGZNl7sHAxHFPsCQpFIWrZfXeLEQx+Pvw4f+vgiVJc4Fb9vtZqwpLoYH1k4DUuqi+HMM+PZI+cSynj/+jpcGhhS3W5XYBDVpS585akjisum+9cdc4EoCpjtKcCHrq7Aitoy1E0vzPrLfTQ1aMnhJFnCN2+Jb4N+8xYfZCT/qyDRe+2lgLZ8Qym3UvosOrHfSDaLiFpPQdryBrNZhCBAMS7LSOwnjsa6O3/8Ghp+fhh3/vg1VJe6cNHA/anZ7IOnqeGGG29C9Ryf6j833HhTtotIU9zofJeTYBHlDvvl5ySjn5s4rNltVxm1XEREZGy8f1C2sO4RkR4YW4hyX6tf+V2aNn9236VhfCHKfXq/p54KxhYi0oPaeMOp+J4kUa6yW0RsHfUO5dZbfLBb+DyaiCYfu1Ul5jG2EOUEtfGaauPEtNJ1KjxBEH4O4AMASgVBOAtgK4CvAcgD8GtBEADgVVmW/1aW5UZBEPYAeAtAGMBdsixHLq/nbgD/A8AE4DFZlhsvb+KrAH4hCML9AN4E8EM994coU053BXDPnsNxv2Ryz57DmNewQnXweLqV5duw7dBb2Li8BoIAyDKw+9AZfPdT12havthpRYHNjE031kCSAVEACmxmFGmc3bfi8mCy0bP/jTVhUq6RJBn7G9ti5zoa2Ff7KjQN+hrrVykWzyjChUAo7vhXFtlRWag8eZRX5Xh7XMPH26Pyd69beZb4N9+/hIEhKWFfojez0fs81s3sdFcAj7zYFFcXH3mxCdfMKMRsT8G4xylZavs6meoeUbJCYRlPHjqDB2+rx0AoDLvVjMd/34yv/cXV2S5aUiRJxumuANp7gvC4bKgucaZtkC1jBxGNNDpPK8nPwxefPIzWES9kZSJGaG1XJBPDwmEJe4+cw3cPNqFhZS12HmxKyOtEUcBqXwXmNaxAR28Q5QVjx1yv2wb/QDgudy3Jt6JC5ZeHRufRM0vsuH99He7dezxWlgc+tjA2iW5022rlOt0VyFoM5/2DjGaa24F79x5P6Av4c9/StKw/HJYQkaW46z0iS8MT7GkY9O9x5eGT11XhF6+dwcblNTCJwPwKFwodZuTnqU8AbjWJsXj1xKstsWVXzC7FNQZ5sY2IrqgosOFiYAjfua0egVAYTqsZogh4Urg/Ru+1LocFEqA53xhPKn1cqShx5mH3oTMJcXl1XUXCd0fGOmA499t5sAm7Ny1La5mIcklrWweWfekHqn9/9Tufy2BpiIhoMhmKKD83+YfV81kuIiLKObx/ULaw7hGRHsIRKMeWHHvPjWgqm1ao/G66N8XneunC3IWI9MDYQkR6GGu8IRHlBhnA935zMu69we/95iQeuq0+q+Vi7kJEeojGOKPFPCLSJtlxpFrpOhGWLMufUvhYdbIqWZb/CcA/KXz+PIDnFT5vBpCekXhEo+g5WcZ42nuUf8mkozeoeSKsUCiCo+f9aOsJwuuyYcE0d1K/JB2RZGz801m4EAhBkgGzCGz801mQpPGXBYDKQgduqClEV18E7b3Dx7DEaVKdiGm0PIuIez40Bzt+/W5sMNk9H5oD2ySawXO8iQlG1kGv24aIBHT0XqmPkiTj7fYe9ATDkGRAkmWcvdSPVn8QDqsJ+w6/j79cNguXAkModFrwn6+egm+aG1VFDjSe9+OcfwCl+XkosJlgs4rYvrYOW/ZdmTxg+7o6LJw2PNt7pduO7/3VtXjjTDckGXj2yDnc86G5CEth/PtfXYs3R3z+iSVV2H+8FcDwg8fqEmdsEODprgAK7Rbs/ptl6AuF0R+KoGaMAYKSJKP5QgAtXQPY9eLJuL+d6gqoToSl9fod+b1phTZcCgyhtSeIH33mOjz0wts41OLXbSCjnrIZv2hy6gqEcO7SIN5p64VwuSqduzSIi4FQdguWBEmS8WpzJ8IScDEwhKGIhDZ/P5bVlKXl+sjUIGgi0s9E82c1MoZzoq/8+Xx88ckrMeJbH12ISrd94gUfZWQeMBCKKLYrWkblCVpiWHS973X24f2L/QiFZew/3hp7iFFT6sQ1M4oAAKcv9KG9ZxA9wSG47RaohdnoOvuCEfznq6dxx5/UYGAwDEeeGT/5fTPu/YhPcbnReXRL1wBeaDyPx+9civaeQZQV5OGx353EC29dSJhsNhyWcDEQwoW+ECyiiEq3XTHX/erq+RmJ4dUlTjzy6Wtw9KwfkgyYBGBBpZv3D8qamcUO7NiwAJGIGGvLr5xXjJnF2try4zl63o+vPHU04YXVaRvtWFJdnPD90W2bqiIHfNMKcN+6OlwMDKHYaYEky/jVG+/j09fPUt1ufyiCIocVty6ujOWzTx46i4XTp84vnCm1EwGw7UiGdCEwhL1vDvdrhSUZLrsZP331FMpvrEV1WXLriuY5oSE5qXxjPKIoYGVtGZ64cynaegZR4crDAq973GtI6VqUJBlvtfnRemm4T6/IacU8j2t4Ik8B+LtVc/C1Xx2L5WkPfVy5rakU655+/Sz6Q5GU9lFr+Rk3knPDjTehta1jzO+0d7RnqDRElG3hsITGVj9a/UF43Xb4vC6+fEyUI7r7hxAKy8P/IwMChn9UpHtgiOUiIqKcw/sHZQvrHlHuM2Kf8cVASDm25NB7bkRTXUGeWXEMQYFN/cexMoG5CxHpgbGFiPQSGgpjMCwhFJGH/z0UhtlszXaxiEijuBwBgCAYI0dg7kJEejBqzCMi7SRJRm9wCJf6h2C3mCFJsrEnwiLKVZIkY39jW8JA8Ojgab2VF9gUf8mkLF/bL5mEQhHsPXoeW56Jn9Ro/cJpmgfzd/QOYmBIwqMvN8fW8fcfnIOOvkFNy1/o68PrLb3xEyutrYPTKqKi0DXu8p29QeSZRGy6sQaSDIgCkGcS0dmrbfu5YKwJz6pLnLE6WOSw4o4bZuLhA02xY/nIp69BcEjC+xf74z7fttaH/3y1BRuWVOKmuV58/onXY3/busaHgaEw9h45h3v3XjkvW2/xwQQZh1q68KPPXIeO3kEUOSwwm4ZngQ+HJew7dj5umfvXL8DpDj+CQ/nYuq8x9vk31lyN/21sw+o6L3YejC9vKCyr7o/S9RW9Du0WUfF6sFmU67LW63fk9+aU5+NT18/Etmev7Mt96+pw70eccNmthnhBQ6tsxy+anCrceQnX7eZVtSh35WW7aJq9f7EP73cH42LWtrU+TL/Yh5mlypPqJUOvWWuJKDPSkT+PFA5LCTnXv//VNfi3v1yMw+9fQkQC/u+BdxCRJayvn562Qa6j84DNq2Yr5lFvt/Xigf3vxOUJY8Uwpfzia6vnIRiW8JWnjsTlHM48EW+d7427Z9zzoTmoKXNi5VyP4jp3ffoafGxxVdy6tq7xITCo/CLq6Dx64XQXbprrxR2P/TEuxi+vLUdHbwgP7D+BeRUFqHTbE87zfevqYLea8KUnr2z7nz66AB+cW56xGB4Ky3Htrh0bFmVku0RK2noDeK9jAFtG5Ezb1/rgcQVQWTTxnEmtHdzeE0z4rlLsefzOJWjrCcVdx1tv8WHl/AoMhtUfdFS4bIr57PlLA9h75FxaY7ERqbUTrWYBd//sTbYdyXBCkTBWzY/v19q21odQJJz0uqJttd+d7FDMN/pU8o1xyxiKYN/x1qTyR6Vr8ZFPX4OegTC+PmKiq82ratF8IQC33YzvHmjCX15fHddHKsmS4sMhtVhX4UrPr2Ozzyk9Wts6sOxLPxjzO7/84kcyVBoiyialvoP719dN+tyUaLKYVmjDp66fGZ9f3uKD152e3CtV01XKNa0wu+UiIiJj4/2DsoV1jyi3GbXPeFqRSnutiLGFKFd09g4qjyHoG8QsjT8orgfmLkSkB8YWItJD/0AIzx1vTxjTuabOA4edk2ER5QKPS2UcX0F2x/ExdyEiPVSoxDxPDo1dJprK9HoXlm/REik43RWIPZwFhgdl3rPnME53BTKyfZMIbF5VC5tl+BKN3rRNGq/Yo+f9sUFYwHD5tzxzHEfP+zWXodBhwb/+77tx6/jX/30XhXZtv6Zy5uJQrMMkVoZ9x3HmorYZOB1WC761/23sPHASjxw8iZ0HTuJb+9+Gwzp55u/zuGyxcxxls4goL7DF1cFbF1fGEjhg+FgePevHu+29CZ9v3deIz914FWaUOLHtuca4v217rhGBwUjsRhL7/NlGOPIsKHM58dkfv4Z32/twx2Ov4c4fv47TXQE0tvoTlrl37zFcP9sTm1Am+vl9z72Fj147IzYJ1sjyjrU/StdX9BhE6//o66EgT7kuaL1+R37vczdeFZsEK7rMN545DkEQUFOWn/YXMyRJRnNnH1557wKaO/sgSfL4C2mU7fhFk9PgkJRw3T58oAmhsDTOksbR1hNKiFlb9zWirSd9v/YnisMxY1lNqS6xg4j0k478eSSl/CkQlPD//ecb2HngJHa9eBItXQO4d+9xNLamtg0lo/OAPYfOJuRR31hzdez7I/OEsWKYUn7R1R9KaC/cs+cwegciCfeMHb9+F0fP+uPykdNdATyw/wQ2Lq9BWJLR1jOAIoc1tsy25xphMSvne6Pz6M/deFVC7rt1XyMKHXn4wW+b8YklVbgYGFQ8z9945jjebe+N++wff3UMJ9p7Uj0NSWHuRkZzvjsUmwQLiLblG3G+Oz05U3lBnko7OPEhhdL1EZGEhOt427ONkGUBgqA+cWFvcEgxny0rsKU9FhuRWqw5etbP+EOGZBZNiu038xjX+VhEUYDNYsb3Xj6JjctrcPfK2fjcihp87+WTsKrkG+NJJX9UuhaPnvXHJsGKfvbwgSac7OhD70AEd/xJDb72q2NxfaRffuqoYtxSi3W9wfT8IhLzFiKi9FJ+9jL5c1OiySIwGEl4trjt2Ub0hyJZLVefSrkCg9ktFxERGRvvH5QtrHtEuc2ofcaq7TXGFqLcIUBxDEG2MXchIj0wthCRHo639SqO6Tze1pvlkhGRVkYdx8fchYj0EFSJeYNDuTN2mWgq0+tdWE6ERaSgvScYu9iigkMSOnqDGdl+qz+Ix19piQ3M2ri8Bo+/0oK2Hm3bb/Mrl1/r8gBwsT+kuI7ufm2DX9t7BxWXb+8d1LT8hT7l5S/0aVs+F1SXOLFjw6K4iQl2bFiE6hJnXB0UBCQcC0ke/kfpGA2EwmjvUTn+Kp8HQuHYdgThyucdvUG0qtSnzl7lzwdCYcXyjrU/StdX9Bg0dfShwmXDphuHr4dNN9agwmUDoDx5lNbrd+T3BgYTyxwcktDmT/81H/0ltA/v/C0+9R9/wId3/hb7G9vSNhlWtuMXTU5tY8SUXNGhcl/q0HhfIqLJrU3l/tmeRP48klL+FMhAvjE6D4i2K759W32sXdEbHEJgxIA8LXmCUn6hlouq7ackI247XYFBfGJJFX74u2Z8/ok38P2Xm3H7spnwum1XyqVynxmdRyvlnyPz0p0Hm2AxiarneXQaplceqIS5GxnNRNvy4zGbBGxd44trB29d44PZlDiBqNL10alSvlBEQne/+kQv51XatT3BoYxe89miFmuU4h/jDxmBar/WBGJRd/9QLPd45ODJ2GSZl8aIHWNJJX9MJqeSZCAQCifVZ6UW61rTFOOYtxARpZfas5fJnpsSTRZjPYvNJqOWi4iIjI33D8oW1j2i3GbUPmPGFqLcp/ZeQGeW3/VkfCEiPTC2EJEeGFuIcp9Rx/ExvhCRHowa84hIG73ehU3t586JJjmPywabRYy76GwWEeUFtoxtv7s/hF0vnkxp++WuPMwssWPNwumxSY2ePXIO5fl5mstQ7LAqHoMih1XjPuQpLu9xaSuDp2Di50CSZJzuCqC9JwiPy4bqEidEMXFwbbaIooDVvgrMa1iBjt4gyguulLF81P6PPhbRMcJKx6jCbUMkIqsef7Xzarea0bBqNmrLC+B1D9dBr9sGkyCongulz2cWOxTLG/3MbhE1ndvoddjRG8K+w+dwx5/UYCAUht1qxuO/b8aDty1SPK5q5VJbf3BIgstuVj2W6ab2S2jzGlagpix/wuvPdvyiyUktdpRrjOlGUK62DwW5sw9EpB+vyv3TbbegubMv6TzS67YnrM/tsChuY3qhHa+d6kJbzyAqXHlY4HXDZkutqa6UB3T3h2LTh5rF4dmw5RETn2jJE5TWOzK/G7kup005rxIFxG3HahKx82D8jP07DzZh4/Ia7Hrx5Jj3mdF5tFq+Wpafh7tXzsbTr59Ffyiiep5FAfC6bbh1cSUEYXjfphfZxzwm6cLcjYxGtS2fppzJbbfi6TfO4MHb6sdt3yldH2UFyuUzCQKKHBbV7SrFZZtFhN1q1q3tZyRqsWb0rY3xh4wi3bFIkmQUOSyKucfjdy5NaZ1qeYXHpX4Njb4WvW4b5lUUqF6fTqsZMqDYz6sUt9RiXbpiHPMWIqL00jtuE5G+9G4/p8qo5SIiImPj/YOyhXWPKLcZtc+YsYUo95UX5OHmq0vxl8tmoTswhGKnBT999VTW3/VkfCHKfeGwhMZWP1r9QXjddvi8LpjNYlbLxNhCRHqY6JhOIso+1XF8bBcR0SRk1JhHRNro9S5sdntsiAyqusSJHRsWwWYZvkRsFhE7NixCdYkzJ7Y/vSgPd31gNn74u2Y8cvAkfvDbZtz1gdmYXqz9pi/LEhpW1saVoWFlLeSRo+bHMKfCie1r6+KW3762DnMqtO3D1Z4CxeV9ngJNy0uSjIPvtGPv4XP4f+914ZnD53DwnXZIkrbyZ4ooCqgpy8eymlLUlOVDFAVIkoxTXX3YvGr4+D/9+tnYfwPDx2JBpRu1noKEz+9bV4ctzxzHP+49jns+NCfub3//wTl4cP8JbF/ri/v8W7cuwKX+EL7y1BHsPHASX37qCO64YSYe+8y1eO10Nx7YfwJb18Qvs31dHV492Z6wru1r61A/zZ1QfxdUDn82s8SOfKs5odwPfmxhQv2OXgfPHjmHlfMq8JWnjuCrTx/DV546gjuXX6V4PYw+dtH1K10/0fXPLLGjd2AIW2+J35f719fB53VP8Awn0vuX0LIdv2hyspqAbaOu921rfbCaslywJExzWxVilg/TCrVN8EhEk9uCaW5sXxefe25eVYsvP3UUH975W+xvbEsqj/R5Xfj2bQvRsGo27l45G/+wei4EAQk5ynduq8eJtl7c/tgf8YWfv4nbH/sj9h1rRTAYTmk/lPKArbf48NALb+ORgyfx/ZebUeTMwx+aO2N/15InKK13QaUbD308/rOHPr4IBTZTwn7e86E5WFjpjttOIBhRzIkEYUTuX6E+SejIPLquwpXQdti8qhb/uPc4fvDbZtxxw0x43TbF83zfujrUTXfjjhtmxtpP33+5GS1dAxlpO1S67Qll2r6uDpXuzEzERVOPJMlo7uzDK+9dQHNnX0I9ryxSzpkqi9OTM1WXOHHn8qs0te+UYk+hw5RwvW9b68PTr7+PwXBEdbvzPQUJ19q2tT48d+R93dp+RqLWTlxY6WbbkQxphkosmpFCLJIkGfsb2/C7kxcUc4+xYsdYFkxz4z6FvGLhNPV4MvJa9LptuOOGmdh3+P2E9vbWW3zwTXOhwG7Cs0fex/83up/3plrM97gS1q8U67avq1P8birY5zS1tLe1oXqOT/Wf9o72bBeRKOf5vC7cvz4+bk+F3JRossgzy4o5a576HM1TulxERGRsvH9QtrDuEeU2o/YZm0VJ8T03s8lY7w4TkbraCic+OH8aPv/E6/i73Yex6YnX8cH501CrcQyCXpi7EOW2cFjC3iPn8IlHX8Xf/vQNfOLRV7D3yDmEw9L4C+uIsYWI9DBXZUzn3CznU0SUjEjCeN6ta3yAwNyFiCYf9ukS5ba5ZfnK7Y8ybXPCqDGno3BEk40oCljtq8C8hhXo6A2ivMCG6hInRFHIie23Xgphy77G2OCu4JCELfsa8dON12N6ocYyCCJ2HzqDjctrIAiALAO7D53BddVFmpZ/ty2AXS81xS2/66UmVJc6sHTW+DP4vXuhT3H5uRX5qJ8xfhnOXAygqb0Pj77cjOCQFBsMP7ssH9Wl6gPqjeB0VwB3/+xNFDmssf03CcCeTcvQPxSJ1QdJkvF2ew/qprvRNxhGWX4evvjkYbR0DcDrtiHPJGLTjTWQZEAUAJtZxLlLg9j10kn86DPX4UJfCG67GSZRwMafHIqrLw8faMITdy7FvXuPIzgkIRRuwYO31SMYCmNWqRP10wtxor0HDb94M+EcLakuUqy/wPCv9PzVD/8Qt2+iANSUJtbv2HVQUYCLgUHs3rQM/aEIPC7160Hp2IkCcLW3QHX90wtt+MSjr2JOeT4evK0eA6EwnFYzFlTq8wsfev8SWrbjF01OoQjwby+djLve/+2lk/j2bfXZLppmF/vC2DVqH3a9dBJzPddgRnG2S0dE2Wa1mrB+4TTUlDrR2TeIE609ePyVFrT6hyeqvGfPYcxrWIGaMm15pCgKEAUxIRf972OtcTlKhSsPf/XYH0fl7ccxq9SB62aVJL0fo/MAu9mEht1voqVrILb+bzxzHLs3LcPAiLxyvDxBKb+oKnLgpaaOuHwzzyLgT2vKMLPYicVVRegJDqHQbkFZQR6qiuO3k2cRFXOi66qLcGPtUvgq8uG0a5vId2TboarIjnP+gbjz9/CBJtx8dUXceW7vCcLjsmHhNDfOdPej4edvxp2HLz55GPO92s95qk6092DXi6PaPS82Ya5HW7uHKBnRyWDu2XM4Fpt2bFiE1b6K2PV5tjuEPYfOxNpGdqsZj/++GdWlTkwrnHgZkmmvKH33Qt9gQl/Bv710EusWTYfNrD5L61n/QMK19m8vncRDH1+ERZWFWf91R72pHXcAeJ5tRzKg98eIRd7C5NZ1uiuAe/YcxudW1CjmHnZLao9IRFGA3WqKy4XsVtOY19DIa7GzdxB//aM/4sHb6vHQC2/Hxafv/WY4Pi2uKkKh3YpPPPpqfL74zHEsmVmUkKcoxbpdLzYpfjfVfWaf09QRkWUs+9IPVP/+yy9+JIOlIZqczGYR6+uno7Y8H23+ICrcNvi87kmfmxJNFoNhQTFn/crq+SwXERHlHN4/KFtY94hym1H7jCVZxIETrfj+7dfiUv8QCh0W/Oerp1BTOjur5SIi7d5tC2DLvuMJ71NVly7VNAZBL8xdiHJbY6s/NjYGGI4t9+49jtry7L6nx9hCRHpoUhnTWVPqwJIs5lNElAwTnn7DeDkCcxci0kNYEnN+7DLRVPZOZ++E5oRRw4mwiFSIooCasnzdBz7rsf22nmDcoC5guKO2vSeoeR3d/UP4xJIq7DzYFBsg27CyFt0DQ5qWb+8ZREvXAHa9eDLhcy1a/UHF5dv8QdTP0Lb9hw80JUzutLiqyPATYbVfPn+t/mDc/v9i0/VYVlMa+39RFFA3YmazV967EJvk4NbFlfjW/rcTBvdtXF6DXS+eREfPIL76y6MIDkm4e+VsxfrS0TsY+/zouR40/PxNeN02PHjbQrz+fjdEQUAoLCeco47eYKzujq6/F/oGFffN53WhrrIQoyV7Hagduz+5qkTxvIuigP5QBMEhKbaPUb/YdD1mlqS/rkR/CW304PN0/hJatuMXTT6dvcox/UKftphuBK09KveVniDYJCYiYHgyrCXVxXjlvQvYeSA+VgznRkHN99bTXQF88cnDCbloNBeLqi0vUMnbU4+vI/OAkfnhyPUPDEXi8spk1wsAzZ19uPtnbybkm89fnjBsvJzbHwyhYWVtXHvjG2uuxmBYwowiB+x5Vs1la/UHEQpfmelf6fx19gVxVXl+7DyP1Nk3qJIPaz/nqZpou4coGdHJYEbGptET/bX3DOJQix+HWt6MW3YicWm0ZNoro7/beL5H8ZqpKnLg0hj9Fe0quWBYkqbMRANqx51tRzKidMaiaF/R06+fTcg9/v6Dc9AbDKVUxsZWP7705JGEXGjGJvuYD2yi12K0XAODYdVcYGS/1UhqeYparEtnTsM+JyKi9DKbRdTPKGL7jygHdfYq56zZfm5i1HIREZGx8f5B2cK6R5T7jNhnHIpIuKaqBJ9/4vW4Hy4bkqTxFyYiQ2jvUX6PJ53vLaSCuQtRbmv1K4+xyvZ7eowtRKSHjr6Q4jtEnX2pvSdFRJnX3T+ElfMq8JWnjsSP7e7XNrZbL8xdiEgPk2HsMtFUptfYSE6ERaQTSZJxuiuA9p4gPK7kf+koFIrg6Hk/2nqC8LpsWDDNDavVpGlZr8uGJTPduONPajAwGIYjz4yf/L4ZHpf2WbsLHRYcfLtteHbeEetYMlPb7Lxedx5sFjFhMFiFK0/j8naV5bXtQyAUVuyo7g+FNS2fTR6XTXHfy/LH3veRywkCFPdfEIbXVei0JKx/9P8788yYWWJHS9cAbppTijuX16C7PwT/wBAe/c17eLejD/d8aA4ikoxAKAIAePbIOZQX2FTrv9dtV6ybFe7UZpQfvZ3yAuVjN1aZ1I53eYH2Mo13vY/++83zPXhe4y+hhcMSGlv9aPUH4XXb4fO6dBmoPdGYpde6jLzNqaQk34qZJXasWTgdwuXD+uyRcyhyaJ+kJNu8brviPqQaf4ho8oneSwaGIti8ajb2HDqLVv/wRLLJ5gbtKhPTRuOP123Dx5dUoqzAqpiHeDTmzGPtR3tPEA6rWTH3Gr0vo/ONQocZ5y9duacCiLvPVhU50Nk7iM+tqAEAvPxOB1bMKYcgDHdAisJwJ0b0u2e6+xPu0SVOG3Yfegsbl9cgzyyibroL4YiM7r4Q3gr34P2LAayoLdd0P68ssuOOG2bi4QNN+NyKGsV4b7eYIEmy4vrGyiH1pnZ/KsnPwyvvXWBeMwXpmdeqxaaRE6R43XmKddI7gbg0WjL7GAyGcazVj7aeQVS48lT7Gjr7BjGrTH1yYY9KP8lYsWGyUTruANiOmsK0Xovpjkta1ud15yles6nEomi/T6s/iCdebcHG5TUwicANNSW40BdE2aj7vdb9bfUHUeSw4tbFlbF4+fTrZzU/sImWy5FnVs0HJUmGw2pCw6rZkOTh9bf6g6p5ilqsy0ROw34ZIqLUMH4S5S6jPjcxarmIiMjYeP+gbGHdIyI99AbDGBgM4SefXYqO3uE+l9+9246+YCTbRSMijTwu5fcCJvI+VTowdyHKbarjk7L8HjljCxHpwWVTfh+pwMah5ES5othhwdPvd+H7t1+L7sAQip0W/PTVU1hSrf4jnZnA3IWI9MDYQpTb9Bq7z9YLkQ4kScb+xjbcs+dwbMbdHRsWYbWvQtML7KFQBHuPnseWZ47Hlt++rg7rF07TNBnWPI8TG5bMjJvxd/vaOsz3qA8KHa2qKA8bllSNWocPVcXaHiIVOszYeosP255tjC2/9RYfipzawo7bZlJc3m3XtvzMYqdip01VsfZjkC3VJU7s2LAorv5sXlWLU119mFWqPghi5HKA8uRWogBsXePD+12B2N+ffv0stqy5Gtufeytuhuit+47jm7f48PM/nsaq+V78zROHrpyLNT78/I8t2PHrd7Hpxho8cvBkrJ5OK7Cp1v/aUodi3awtTf68KF1nj3z6moRjt2PDIlQVOVTLpHS8d2xYFBsUnEo5Rl7vY/19vF9CC4cl7D1yDvfuvRIL7l9fh/X109M6GdZEY5Ze6zLyNqeasnwz7vrAbGzZ1xh3TygvyJ1UcnapHXd9oBZb9h2Piz+zSx3ZLhoRGYDSvWTzqlo8/koLuvtDSeUGgPrESqIwPAlWdNKml97uSMh5t6+twwKvOy37seFar2LuNW3EZAhK+cbWW3z4+R9a8G5HHx759DUIheXYOmeW2PGFlbXx31/jw/dePomWrgH84LfNsWNnNQsJ392xYRFunu/BpYFB/O2fzca2Zxuxbc18tPcMJuT+LV19mFVWMO5+28wmPHygCcEhCS+/04G/vXE2tj3XGFe++55rxJ3Lr0rIDyRJxqmuPmxeVRtbR7L54ETM9xTgrptq49t+a+vw6MtNeOGtC8xrphi981q12DRy0uVihzl2bY68Hos1tuXHk8w+BoNh7DvWGpe/ffu2hfjnjy7A1391LC5eTy+0ocSp3l/izc9TiIc+/Oerp/CBed5Jf42ptZ9HxnfGm6lF67WY7rikdX2lTjM+PqpfcttaH0rzk49FI/t9Wv1B/PB3zWhYWYt/+OVR/O2fzYbDktr+VhVfmYhzZDyqLLYnVa7Hfvcetq7xxeUu29fWoa7ClVCWhpW12H3oDL6wshZVRYltWeVYVwdvvr6DAtgvQ0SUGsZPotxW4VJ+blLhyu5zE6OWi4iIjI33D8oW1j0i0sOccjv8/UP46x/9MS621JbzxxKJckWRw4Rta33YOiJH2LbWhyKHth8U1wtzF6Lc5vO6cP/6uoRxGb4U39VMF8YWItJDhSsv4b3ozatqUeHiZBJEuaLcZcIH53vx+Sdej8sRPC62i4ho8mFsIcptimMj19Vhvsc1ofUyAhDp4HRXIPbiOgAEhyTcs+cw5jWsGHfiGwA4et4fu9ijy2955jhqSp1YUl087vJvtfVh10tN2Li8JjZz3q6XmjCr1IHrZmkb+HSmezCWNMTKsK8Rj9+5FBWF4+9Dqz+Ep18/gwdvq8dAKAyH1Yyf/L4ZM4rmYnb5+Ntv6gzg539oiS1vt5rxg5ffQ2m+FdUaBsPPKlWe3GhWChMuZZooCrjaW4BNN9ZAkgFZBv77WCsGhsohCgKqS5yKvwouigJ80wrwndvqEQxH8Ojt16LxfA8CoQhMAnBVeT4qC+1o7uxFcb49NvlVqz8IZ54pVl9kGXji1Ra0+oMAgM+tmI07HvtjXF3Y9lwjHrytHt96/gRqywtw98rZAIBdLzahptSpWv+7+gZjg5ijf9uy7zhmlTpw7czipH75XOk6u/tnb2L/5hV4vmEFOnqDKC8YXs941+RqXwXmjVpG60CT8dY9kXjQ2OqPPWyJLnvv3uOoLc9H/Yz0zeA90Zil17qMvM2ppqsvgl0vnRx1XzmJb3+sHldpiOlG0NjWpxh/qkuXYqnGeyMR5T5JkhXzDaV7ycMHmvCTzy5FWUFeUrkBAJhEJDxAvOdDc/AnNSW4flYxNv5keILRo+d6UHK8FY/efi38A2F4XHlYUOGCbdQv7qiVe7TR+/GR+srYw4/ofm3Zdxw1ZVfaFUr5xrZnh3O9hp+/iaNn/Xj05ebY39csnJ74/ecasXF5DXa9eDJ27DYurwGAhO/es+cwdm9ahs8/8QbmlOfjwdvqUZZvxWd//FpCGX70mes0TYTV2TcYW3bFnPLYRBKjy6eUH5zuCuDun72JIoc1dp8TBeBqb0FGBh6f9Q9g14uJbbc1C6fjhbcuMK+ZYvTOa5Vi0+ZVtTCNmGP3vD+E7/0mPu/73m9OYkbRAtSkIe9LZh+PtfoT8rcvP3UUP//c9fi/GxZhSJLhtJrQ0hXAQ79+Fw9+rB7VpcrbPd7WE1uX123DrYsrcfbSAD66uAr/8MujmFdRMKmvMaXjPjq+M95MLVqvxXTEpZF5jMNq0rS+1p4h/NuoNui/vXQSVbcuRHVZcvsqigJW+ypQ8tml+H/vXUBEutLvFc03IPRp6j8aqT8kxeJp9LsPH2jCdRr6bkeWa15FAfoGh/D4nUvR3jMYywdb+wZjZYnGrWA4gu3r6vDdA+9icVVRQplGxrpomaL9btfNKknuwCWB/TKUqva2NlTP8an+3VtRjldefjGDJSLKLMZPotzW0aP+3GRWkjnrVCgXEREZG+8flC2se0Skh86+iOq7z4wtRLnhdFcQf3jvAh77zHW40DeIsvw8PPnaGZQ4raj1ZK9czF2IcpvZLGJ9/XTUluejzR9EhdsGn9ed1h8nTwVjCxHpoW8wgsoiGx69/VpcDAyh2GmBfyCEvkFp/IWJyBDa/Sr9G59dipn6vQo4LuYuRKSHjh71mMfYQmR8imMjX2zCkpmJ4x2SwYmwiHTQ3hOM3XCjgkMSOnqDmi7YNpXl23uCmrbf3T+ETyypws6DVwa3NqysRffAkOZ96OgdVCxDZ++gpuVD4QhWzqvAV546EleGwXBE0/LOPBP8wSG809YbC3r+4BAcVm2zFscGk6U4uVG2tfqD2HngJADA67bhb2+sQVd/CG+cuYQj71/Cgko3Vs71xO2PJMl4veUSvv6rYyhyWHHHDTPjBjh/8xYfBobC6Ogdwr3PvIUihxWbbqxBVZEDxY48/PB3x+LOuc0iwmE1o71HuS7IsoQ7bpiJL486x939IdX639mr/Lf23sGkf/lc7Tpr6wliWU1p3LU23jUpigJqyvJTuqGOt+6JxINWv8o++oOon5F0UVVNNGbptS4jb3OqufT/s3fm8VWU9/7/zJx9z8keEpIQE7aEhE1Ef0AVrKVeNhWxy8VW8dLeqw2trdrbq1CQeq/W0itCb6VaW2htXWgRrHpVwKK30ArKFkESAkEgG1nOvs/8/jg5kzM5M8lkOZwEvu/Xy5fknHlmnpnzPN/n8zwz38/4pMeVTr/ycSXVtMjEshaF4xpBECMfjuNl9YbcWMKDH9BY0ujw461jjSJT2F/tO418uwGfNbmEY+XZ9Lh2TAZWxr2po6cG6q3ePXVSz/Po8IT6nFfI6Q1fMBw9Pg/R9wwDye0ZRvpvqW1jxzx6wYnqP3yCTV+dIrldmycofYF7kG3RQ69hheNK7UunZiX1QbPTD7tRi9unFgh1fvXgedxwTQaKM5OvI9o8AckxVhf3gA3pmquHZOvaRocfW/c3iEyQt+5vwOTRaUJ7D0Yikm0yGFE2l++L/pxjk4x+O9fhwyPbj4rrF+Z71XWxfeXZ9Fg+s0g4vy376lE9twztnsAV3cekrnvP+A5QvLmaUNoXBxuXeuqY6nmlivbnCoQlY5ErEB7I6YJlGbS6AsJam+jYzgDu+c1H2LBsMrIsWsXn29uaTX/qVZxhktR6sbrk2fT45g3F+Pl7p4Tvv3fzWLRJxC25uNnsTO68l9ZliIES4XnM/MHzst8fePq+y1gbgrj8SM1Htx86T/GTIEYIw/W+yXCtF0EQBDG8ofGDSBXU9giCSAb0jBhBjHysejXKcq24t+ulerGXfFn0qU19Iu1CECMftZpF1Wj7kOZhDBaKLQRBJAOHLwhPgMNDr3U/n/7jheVw+JQ9l00QROpplsntTvX6BmkXgiCSgZyfRYub1nQJYiQglxsple/QH1JrXU4QVyg51mgidjx6DYtsi15R+TyZ8jlWZeXTjBohWADRAX/jnlqkGTSKygNAtkUnWYcsi05Reateug4WvbI6WHQafPsLpXjhw3ps2lOH5z+ox7e/UAqrwvIABHOjmCnSSDHBAsRt6O7ri+ANRbBlX/RaPLevHrXNbpxr94jKnG3z4Ed/jppZ3T61QDDBAqLX/8e7aqBRqYTfJWa29ejrx6FWAavmlQnH1GtY/OjL42HQsLAbNZJtwW7UJhxj455a2AzS22db9Mi1SrerbItO8s3nZ9vE5yh3jXoeZzDb9pe+9j2YY+fZDJJlc229l+U4HvWtbuw/fQn1rW5wHD+oc+gPybzWw+mYVxtDMa6kmuxe4s9QEQ5zOPJ5B94+3ogjn3ciHKY3ZhDEcOJsm0dWbwz1WGLRq/HlSXl4+LUjeGT7MTz02hF8eVIeNCwLjodwrNunFiTE154aqLd696TneWSYtbKaPharRsnoDYM2+vCYioHk9z3/5nnpv6W2zbOJ6ykXo3MUxmgVm6hle+6rONMk+Zvm2fS4+/oi0bzj7uuLkKtw7jVYGDCSY2xpTvdCD+maq4dk61qjVo0ObxCb99Zh0546bN5bhw5vUGQ4bdFJ6z6zbmh0X3/OUW7+eLrVnVC/O6cXIMcqHzNi+5KKuxv31EKjurKXSKWuu1x8p3hzdaC0Lw42LvXUMfE6qLf9pRmGfg6aIxNTNCpG0FdaFTvoGNVbLJJCTuvF6vL16woFE6zY9z9/7xRYJnGdc6jq1F9oXYYgCGJgpHo+ShDE4Biu902Ga70IgiCI4Q2NH0SqoLZHEEQyuBzPiBEEkVxULJPwfPozu2uhkrg/djkh7UIQRDKg2EIQRDIwaNX48a6ahJzC2LPhBEEMf+Sed8xO8rOAfUHahSCIZEBrugQxspHLjWQwuPXcKzvLiyBSRHGGCRuWTRYlYm9YNhnFGSZF5ctzrXh8cYWo/OOLK1CRa1VUvtMbknS/dHiVO+sGQmFUzxUnk1fPLUMwHFZU/pJb2oGzTaEDpycYwdoeiy5rd9XAG4woPoeRTHwbKrAbJW/oNTvF17LZ6Re2YRhIXv9WGWfUTy+6kGHU4OmlVXjyjknY+JUpMOrUWLblAB567WiCscC6RRXwBCKS+2r3BPHkHZWS7b8i14p1iyoS9qVTszIu1X7Za1RgM2Bdj36ybnEFCmyGBCOoQrtxQH1SiaFUX/19MPGgPM+K9UvE57h+SQXK82y91vntmibcuvEDfPVXf8etGz/A2zVNvZphDTZmJWtfw/mYVxuDjenDgUAojP+8bRKq55XigbmlWDWvFP952yQEFI5rfREOc9hx5ALu2nIA3/7dx7hry37sOHKBzLAIYhgRr5VixPRGod2I/75rsihG/Pddk9HmCSgyleyJNxiR1G8Rjsf2Q+cFnS2n2eI1UG/17kn8mJhn06PTG8DaReUJ2uupt08Isaqh3ZOgN9YsLMfz+05Dr2ExqcAmGmd3HbkgqU/eOHpB+HvVvDL86ePzkttu+toUmLRqPL20CqvmlSLPpsf+2mZJjViea1F0vRsdfmzd34AVs0pQlm3CYwsmJsxjmjq9kvogwkHmt1J06EHT7pEeY52+kNAWN31tCumaq4Rk69pgJCI5zw/FNXi5t2m0DpHu6885Tsw1J8SG9Ysr8OrB8wn1uybLjByL/EMasbmoipWOu1f6WoPUdZ9UYMOmr00RjX0Ub64elPbF4gzToNpJTx0Tr4N6O24y5qBZZk2CLlq7qByvHvxc2L83GBlUjFq3qAITc5W/tYTjeJxt88jGpU1fm4KiDJPMtUh8Q6PcupvSNeWBQusyBEEQAyMc4SXno+FI/9YgCIJIDcP1vslwrRdBEAQxvKHxg0gV1PYIgkgGvmAYaxaK7wesWVgOX2honhEjCCL5yD230ELrLgRBXIFQbCEIIhnIPgfqothCECOFCBeRXN+IcKl93pm0C0EQyYDWdAliZCOXG9nuScx36A9k40sQSYBlGcwvz8X46tlocfmRbdGjOMMEllXmXNfk9sMXDGPlnBJwPMAy0YG8ye1Hsb7vZKocqx56jdhYqL/ulzqNGoc/b8Nzy6ehwxNCukmD3x04g+lFdkXlsy3SdciyKHuTtTcQlkkCuzqES3wbOtXiUnQtel5zqesv1zYiHIcOH4/Vuz6FP8Shel4ptuyrhz/ECcYCK+eUYEKuFRlmLVQMj4uOoOS+ghEeG979DFuWT4dGxSDH2t3+L7oCeOVgA55aWgVfMAyDVo2tf6vHY/9ULtNmo+0llhjY7PQL+zvR7MTmvbVYMasEDAPwPLB5by0m5llwrt2HB185DH+IE5LvbpmQgzf70SdjhlI99zO/PFdUrq/+Pph4oFazWFKVj7JsM5ocfuTa9CjPs0GtlvexPNvmEeoMRNvKg68cxvjq2SjJko4fg41ZydrXcD7m1UamWSfZRzNMI8dVOd2kw6kWjxDb9BoWD31pHMpylCcp90ZNowOP7jgu6nuP7jiOsmwzqkYrGzsJgkgucjooy6zH+7UtONfuTYgRa3d9ig5vUFID9IZbRsu6/CE0OvzYdiBq2jQ+19KrBgJ60dXmRF0dPya2ugL4v9OX8Le6VkF75dr0eHb3KRxscAh1eui1o9j+7evx8sqZUb1h1SPNpMGYTKMwpgIQjbOFdiOmFtol/84y66FigSmFaQnf5Vr1+LTRhQWbPhSu8/olFRiTacKDrxwW67r3azG92I4Sg7bP651t0SM/TYdxuRbwPI8MkxY/+vJ4tLiD4Hng5YPn8OxXpqAiPy3hN2xxSRuNtbr9uCZ7aMaI3sixGiR/XwYMNu2pEzQocXWQbF2bYdLh5YPnRH3t5YPnML8iV9gmx6rD9CIb7r6hBL5AGEadGr/9Wz2yzUOn+7RqRrTeoVVLn9+JZg82vy+e81mNGnR4xYuheg2Li50+5Fr1KMqUPmajOzoX/c68sX3G3SsRqbZVaDfinRPNorGP4s3VQ3/iTTDMD7id9NRfjQ4/Xj54Di+vnAlfKCJ73GyLdCzKHEQsanaF8Iv360Qx5Rfv12FBZT72nrokxILrxmQoui4nmj2Sa1wlWSZML+67nrF1p8+anJJxKc8W1U11LS7J7006VcI+Y7GuZ52imip5b1yjdRmCIIiBca7DKzkf/bzDi9IcZcbQBEGkjmyL9H2TwWjWoSBrmNaLIAiCGN7Q+EGkCmp7BEEkA7Neg/RQGC9+81q0ugLIsujg9AVg1iZvnZwgiKFF7nnVVGsE0i4EQSQDii0EQSSDTLNWMrakm/p+JpsgiOGBTq1GulGVsL6hU6fWEoK0C0EQyYDWdAliZJMrkxuZYx2cPiAjLIJIEizLoCTLLGs80xvNzgCeeOtkQocfl2tFcWbf+0szqrFmYTnW7qoRktTWLCxHmkn5oB+MRDBvQh6+te2QsI+1i8oRUugarNewePCLY7Hh3VNC+Qe/OBYGjbyBTzyZMpOijKtg0aWn6VNZplnyWoy2G1Hf6ha2U6uAVfPK8MzuWmw/dF74d7zJQLZVm/D5T5dOQo7FgLtf/IdwDI6H6HiNDj827q7DL/95KgIhDjUXHfj4XBvWLirHmp3d7WzdonL8+dDnaGjzYeW2g3izh/lSQ7sHBxscONjwieic27sMJnqaThVnmCQNqZ66oxJWgwoNbT5s3lsn2leHNyRpBBWri9I+2R9Dqb76+2DigVrNomq0HVWjlW3f7JQ2c2h2+ns9/mDqmMx9DedjXk1oVDzWLSrH6h79XavmU101xQTCHH76v5+J+vRP//czvHTfdUOy/0aHdN9rcvgV91+CIIYGKQNNlmVQnGGS1BsqFjh63iEYPADdMWLFrBJs3lvXp6lkT4rsRkn9Nsoendg3Ovx44cN6bPraFPzszip8/9UjQp1+dme3Bjrb5sFFhxerF0zEujc+FbZZNa8MKhlZHRsTm51+cDxE2uuBuaWCCVYMf4jD+Q4fvlSRJ4pXRRnic+05zpZkmVGcYcLZNg8+amhHjlWPGcUZguFB/LwlVra+1Z2grx7dcRxrF5VL6roWV+/6JYZGDSybXoiHXzsimv/s+6wFp1rcWDWvDFaDRtKMQd5E+PKY4pTnWbF+SYVgphir+5Z9pwEoMzUlriySqWuLM0x4bMFEHD3vAMcDahZ4bMFEwfAOACx6VUJ/WreoHFZDouHKQDjb5sEDL32S0Od6zh0BoMnpT4gNP/zyODy2YCIej4uJ1XPLsHV/A8bnypsFNDv9ONjgwA+3H0P13DJs3FMriqlXg1dLz7YlFZMp3lxdKIk3AzHbjkdKfz0yfwImSZhTxpOMWOQJhiX1BsNApK/ir4ucrgSiMepCZwCfNbnAdJ3Khc4Amp1+RfWJXVu7UYtH5o/Hk2+fFOnBCAfhe6m4ZdUnrvPGYl3Pdbe+1oSGAlqXIVLB9XNuQmNTS6/bNLc0X6baEET/MWnVkvNRo5Zu3xPESECjZhLuk65dVA6tJrUTTJ1MvXQprhdBEAQxvKHxg0gV1PYIgkgGLMOj3RvBqpc/Et2Dz7aOnOfcCOJqR8syCc+6r5pXBm2Kb+yTdiEIIhlQbCEIIhmYtdJ5pRYd3YsmiJECz0uvb2RaUru+QdqFIIhkQGu6BDGyUbGQXM9VD3I9l2YvBDEMcfpDkmYaTn9IUfmLnX784e8NeGppFXzBMAxaNZ7fdxpjMo0JCe1yaFUqYUISO/6anTXYeu8MReVb3X7oVCxWzikBxwMsA+hULFrdAUXlVSzw+OIKPPZ6d0L444sroFZd2ZMiKdOnqEHCZHz/1cOihLiz7d0JxHoNiydum4S3jjVixaySaBKfmsXPl00Gx/MosBtQnmfDRw3t2Lq/Qdim0K6HN8jhw9OXEtqcVALGsQtOvPBhPf59/nh85dpirH2jRtgXzwOb36/Dgsp87D0V3V9P84LeEju+MDYd46tno8XlR7alO7nwdEticu7D24/iN/dcK7kvfygi2X+UGinEkDOU6u9+LjdG2Ws8NInrxNVJKMJg8/t1Cf39p0urUl01xVyUMapqdChLUu6LPJu0a22u7fIYqRAEEUVKS21YNhnzy3PBsgzml+cm6I2/n2lLMAEFon/HTA36qwFUKkbSFHa03YA3444/yqLHO581izRzhOcQDEawp7ZVOI+iDAM2LJuMuhY3AmEOW/c3YEphWq8muTlWPVSMtKYbiljV17WWQk5fyekXpWZUzY6AYNYY2+faXTV4bvk0/ONMR6/XS84gLd4YKJmo1SyWVOWjLNuMJocfdqMW6//yKY5ecArbjAQNSowcgmFeMP6Ltfd42j3hhP60emcNXvzmtUNy/P7Ms/IkjOre+7QJq24eK8RNnge2HWhAhzeI0Xaj7HFjcabR4ce2A9E5sYoFSrMt+M83T2B8rgVjrrI+NlLnvMTlZbDtRE5/9WaCBSQnFhWlmyT1xoRcC1bMKknQC31pndFpBtx9fVHCDZv8NIOi+sSu7fgcM9JNmgQ92Nw1h42PWwwDjM+xoM0dgMMXTNgnrQkRVxuNTS2Y+YPne93mT9//p8tUG4LoPzlWneTN/8G+BYsgiMuDN8DhFz3um/zi/Tr81+2VKa2XZ5jWiyAIghje0PhBpApqewRBJAN/iBeSvaN/R58fGKr7nQRBJJ+LTr/oWXeeB7bub0BxhhGTU1gv0i4EQSQDii0EQSQDfziEdKMaTy+tgicYhkmrhkYFBMLK8lIJgkg9wcjwXN8g7UIQRDKgNV2CGNlcdEiv55Zlm1GeP/D9khEWQcjAcTzOtnnQ7PQjx6osSWuosBk0kklLaQaNovI5Vj1ybVrYDGpwHI80gxq5Nq3iRHIAaHUFJBPdWl3KjKxMWg3+8+1PEs5hm0IjLW8ggk17a0VBb9PeWjw9gkxXBsLZNk+C6dMDL32C1751PV5ZORMXHX7k2fSw6jX48sYPRNv96M/HsHJOCTburgMA5Nn0uHN6ASaPToNFrwHLMsix6qFVR9uxVsWiMMOMo593oCzbImpz2w+dT0jAeGzBRLj8Idw3uwS//tsZ/PuXJ6ChzYfNe+tE51BoN+CHXx6HgjQjfMEI6lvdKLQbca7DC28wjF/+81ScaHTBE4xAxQC5Vh2sBhUONrSj0xuCUauCNxhGOMzhvMOH2haXZFs83+HDT26bhP/48zGhjuuXVKAkQzqxkQGD+la3YGrQV//OsepRlGHAgsp8wQRj15ELon40kDiR7NgSjETwvZvH4ufvdRtvfO/msQhFuL4LE4QMra6AZH9XOiYMB6SMFPQaFjnWoTGqKs+zYv2SCjy647goJpXn2YZk/wRBKENKSz34ymGMr56NkiwzWJZBSZZZZNzQm2EUz3f/uz9autHhx8mLDrz4zWtxyR1ElkWLZocXra4AphdnoNBuRE2jA584/Xj4taMJx827d4boPBrafHjwlcNYMasEm/fWKapPcYYJFfk2QdPZjVpYdaoEs1mpWKVEr/S81najFiebnNCrWWSYdQhGIsgw6URlc6x6TC+y4e4bSuALhGE1qNHmDoDjODy2YCIef+NTRWZU4TCHmkYHGh1+5NkMaJGZu3R6Q2AYQKtmZK/XQA06hhK1mkXVaDuqRgP1rW44/CHcf1OprAYliIFyts2DJ98+IcyzAeDJt6MmULG42OYJSvandk+i4YpS4vtsllmHWyZmYkHVaPgCYRh1avz2b/WSbXzSKFtCzLr/pjI8894p3DGtUPS2sidum9SrcXb8PKnR4ccLH9bjsQUTcbHTC62agVF75S+R9ozt2RZpfUzxhohHydpIX8TrL6VrIr3FooNn29HuCSDHakB5nhVqNauoHmMyTfjZnVX4/qtHhNjxoy+Px/q/nECjw5/Q/vvSlUadGn/86Jwopv7xo3O4eUKOovrkdM1RvzlrDL617ZDkGmqsjzY6/IIGfG75NPzmb/V4ZP6EhH1ejjWhVK6ZEwRBXGkUppswrdiGF795LVpdAWRZdFCpeBSmXx5jZoIgBke7Jyh532Qw8+ehYLjWiyAIghje0PhBpApqewRBJIP2JNzvJAji8pJp1gnPugMQnv3JMKf2JQKkXQhi5DMc73dTbCEIIhlwPIvdJ5qwZGohODePDLMWf/74HJZOK0p11QiCUMhwXd8g7UIQRDIYrjGPIAhl2AwazC614/+VZuBS17OwrU4PrAp9ceS48rO8CGIAcByPt2uahGSnWCL2/PLcy7LQmW3R4cEvjsWGd7uTlh784lhkWZTdwMkxa3DzhFFCEpVew2LdogrkmJUHjCyLTjIhUmkdnL6QpPBw+pW5hzfLmK40jyDTlYHQ7PRLXrd3TjTDoFFh6/4GdHiDeHppleR2Y3OihlZ2oxZ3X18kMrLasGwybh6Xje/MLRMZtVTPLcNv/1aPNQvKsfaNaCJxhzeIshwz/vKd2Tjd6kaY4/Hk2yfQ0OYTyph1ask24gmGwXHAD17rTixcv6QCz+6pRTDMJ9TrqaWVONTQifV/OSF663n9JQ+2/u0M7pt9jeRxdGoVGju9WDGrBCoWmFpoxw1jMqBWs/jZnZPx/VcPi/rPd18+jA5vEBuWTYZWzeCBlz7ptX8X2o0J12r9kgoU2o0ABhYnLkdsyTLrYNCwWDmnBBwPsAxg0LDITPENYGJkIzsmjKB2NT7HhHWLKrB653HR2DghZ2gSy9RqFkuq8lGWbUaTw49cmx7leTbFSdkEQQwNclqqxeUXmV/FU5xhwqQCW4IJ6INfHIsX/+9sn6ZMUuTb9Zh5TSbu+c1Hwv7WLCyHyx9CMBjBzmMX8eiO41i7sFyyvk1OaWMnpsuwS0l9wmEOvlDUePSZr0yBwxvE6p01sBu1WDmnBKVZZhRnGDGxR6xSqlfir3WeTY/lM4uwcU+tSGO+fPAcHpk/QSibZ9Zh2fQiPBynE9csLMcLH56Bwx/C/3x9Kj5rdsMbDIseaOt5XjuOXBBptBe/ea20ESrD4PkP6rFucQUKbAbZayVlkHY5iTcJKsow4IGbyhLMymIalCAGQ5sngLumFyb01TZPQGj/2YNcC+hJzz5blGHA/TeWieLAukUVyJPQlRzHQ9djbuMOhHGhM4BgKCL6XK1i0Oz0ozhTuh9nGrUwaFg8/KVxSDfpUH/JjU176tDhDWLNwnLk2kaOrh0IUrF909emYMOyyQnxvj/jHXHl09faSH/oz5qIXCzKNOvwzy/8XVSXJVX5iuZdwWAEEY4XxQ6bUYPxOWZhvSi+/felK9tlYmqHJwDA0md9ijNM2LBsMjo80muonb5QQh+tnluG1a8fx7e/UApXIASO40XXLhbreq4JpRu1fdZHCaleMycIgrjSCIc5nL3kx+q4+d+6xRWYPIqDVqtKdfUIguiDTItWRrMOjfYaKEM9rycIgiCuDmj8IFIFtT2CIJKBXGzJpthCECOGYDiMb88pFZ5p12tYrFlQjlAkktJ6kXYhiJHNcL3fTbGFIIhkEIxEMK04E/fGPce+dlE5glxq9RRBEMoZbG53siDtQhBEMhiuz+AQBKEMnRqY3mP+sW5ROXSDdLKizHyCkOBsm0dY4ASiyUcPvnIYZ9s8l+X4hekmlGSZsHJOCR6YW4qVc0pQkmVS/Bbomia3YPQBROu/eudx1DS5FddBp44mpes10TARS1LXKTT0sBg0QtkYeg0Li16ZGVdO16SoZ/mcK2hSxHE86lvd2H/6Eupb3eA4HjlWveR5Rzjgmd21uH1qAfwhDrUtLsntJuRa8Wb1bPz3XZMFIweguw2faHYKyYuxzzfuqcV1JVn45b46PPOVKdj01SnY+JXJGJNhxphME9JNWjz4ymE0tPlEZfQaFVbNKxO1kVXzypBvNwpJgLHtH91xHAsq83H71IKEetW1uAUTrNhnz+yuRV2LG3ffUAKrQS15nMZOLxz+CDbvrcPG3XX49u8O4bzDB47jwfGcqP/oVKzoOhw97+izf5/r8CZcq0d3HMe5Di+AgcWJyxFbIhzwxFsnsXF3HTbtiV6bJ946iQjXd1mCkEN2TNCMHCn5aZMbrxxswFNLq/DkHZPw06VVeOVgAz7tx9jYF2o1i6rRdnypIg9Vo+1kgkUQKUBOS2Vb9LJlWJbB3HE5uHVSLrbeMwO/+PoUvPwvM/Gl8hz8/K4qvFk9u98PO7Q4o6ZT8WP+2l018AQ4HL3oEDSGsctYtGd9c63SWnh2aabi+hy96MDDrx3FE299hqPnHUJ9Gh1+bNxdh4e3H4VZr0mIVUr1Svy1vn1qQYL+27inFgsq80Vljzc5E+Ypa3fV4L4516ChzYd//f3HGJVmwMbddXjgpU8kNVJNoyNBowXCkcRxakE5nt93OjoXev04TjQ7e71eqSJmEnTXlgP49u8+xlvHmwUTLCBRgxLEYGDASPZVBt3xZLBrAT3p2WcXVOZLrlccb0rso8cao3Esfm5T1+LGPTcUoc0bBMdHt3v14Hk8/NpRMIx8XGz3hfDEWyfR5gnhh3+K7rPR4RfiUPgKf75DKrY/8NInmJhnwZvVs/HHldcNaLwjrnz6WhvpD/1ZE5GLRXo1m1CXmkaHouMfa3Tg4e3imPLI9mP49o2lku2/L13JMNIxFb3EonhYlsH88lzkp+mjJoE3leKBudH/ijIMsBu1mF+ei5f/ZSaq55VixawSbDvQgIY2H9buqsHhzx0J1y4W63quCXX4lL2YoC9SvWZOEARxpXH0okMwwQIgzF+PXlQ2thEEkVr0ahV+3EOzRv9OrZGddojn9QRBEMTVAY0fRKqgtkcQRDKQiy1aii0EMWLQqdX45b46rJgVfQ78vtkl+OW+OmhVtO5CEMTAGa73uym2EASRDLQqFX7xvlhP/eL91OspgiCUM9TPcw8VpF0IgkgGw/UZHIIglBEIIyGPdvXOGgTCg9vvIH20COLKpNnpFzlHAtFO1+LyoyTLnPTjx5LxSzLNaHH5kW3RozjDpDgZsdkZkKx/szOguA5NzgBU4PH00ip4gmGYtGp4AyE0OQOoUlC+wxvCf9w6Aa3uADgeUDFAplmHDq+yxCujToV1iyqEBNmo+18FTLorQ7jIvVHilgk52LBssujz6rllePt4I1bMKkGh3YAH5pZi78kWPHHbJPzoz8eE7TZ9bQqAaPtlGQZ2oxaNDr9wzJjxgVTbYBjAptfA6QsJifexOhm1jGSZJqcfW/c3YMWsEjAMwPPA1v0N+O68MtljxP4tuhZ84mf+EAeOB3zBMFqdHMw6NVbOKQHHAywDmLQqpBk1ePFvn4nKtLj8cPlDeOi1ownurytmlWDz3jph3z2P17N/9xUHBhInLkdsaXFJH6PV7cc12cmPX8SVybl2H9453ojnlk9DpzeENKMGv/nwDMw6NapG21NdPUW0e0OYOz4XD792RBRflY5LBEGMDIozTAlaasOyySjOiBrKchyPs20eNDv9yLGKNXbNRdeQve2rSWbM9wTDou9+te801iwoF73BcN3iClTkWrF+SYVgPKHXsFi/pALTCpWb7MUfh2Gk9ZaUBlGqV+Kvtdz+Y5/HyjbJzFN8wbDkv6XqJ6VnTza5MMqqw5bl0+DwhWA1RMepoxecwr6aHH5UjZa+Vr21i2TT0yRIThtfrrkocWXT4QlKtq8OT1D4W073WQao+3r2Wbl4IbVeIRUz9p5swfLri7HhveMiTbftQANaXfJrHrF69BYPr+T5klxsb3L6MbMkk+ILIctQrmP0Z1/yc1BVQvnexvh4mpwB2I1a3D61QFij2n7oPFpdAVxXkiFsF9MFbZ4AnryjEo9sPyqpK1tc0rqmt1jUE5ZlMCnPhvtvLEtYA63ItYJlGXhDEWzcXZdwHI5HwrWTW/drilsfHAypXjMnCIK40pBbO2h2Dk3cJggiuTS7AjBqGGxZPg0d3hDsRg06PQG09EMPJoPPO6S1tFU/cu7nEARBEJcfGj+IVEFtjyCIZHCu3Yc//D36skRfMAyDVo3n953Gv8y5hmILQYwQPMEQ7r1hjPCCLBUD3HvDGHiCg8ycGiSkXQhiZDNc73dTbCEIIhl0eEO4a3qh8JK/2HOWnZQ7QxAjhuGax0fahSCIZDBcn8EhCEIZQ+FrI0VSjbAYhvk1gAUAWnier+j6LB3AywCKAZwFsIzn+Q6GYRgAzwC4FYAXwDd5nv+4q8w3ADzatdv1PM//tuvzaQB+A8AA4E0Aq3ie72FvQhD9J8eqh17DJhjpZFv0l60OLMugJMs8oEXVHKtOsv45Vp3ifdiNGqz64ycJ+9h6zwxF5XOtOnR6g9iyr15YNFm7qBy5CuvA8wDLio24/OFwgoHRSEXujRJvVs/G/PJc5K+cid0nWxDhgLePN2J+RZ5oAWrVvDJMK0rDm9Wz0eLyI9eqx6eNLvzTsx+Ittm6v0Eww9JrWOTZDJJtw6RV4V9vLMX3JOr0+xXXSZbJs+rR4Q1i89460edGnVpye56PJj33/E4l8Zlew4JlAINWDQbA8x/W485po5Fl1sGoU6Ox0wu9xiAy+or10VPNrl6NuGL7jkeqf/cVBwYSJy5HbBkO8Yu48shP02NGSQa+te2QKMbkp42cdmU3aoQ4CkTjwsY9tdh6r7JxjSCIkQHLMphfnovxXRop3lBWzoh0fnmurDYbXz17QHo8T2Y8NmnVyI377ugFJ/CPBjy9tApggFyrHpWjbDjv8OHZPbUiw9Fn99RiaqFdcX161kGpPlCqJViWwdyyLGy7dwZ8oYis/osvmyszTzFo1ZL/lqqflJ5lATS5gnj4T2JjnJPNbjQ6/NBrWOTapMes3trF5TDDkjKsIC1HJIt0k1ayfdlNWuFvOd03SqYP9YXcHFTJeoVUzLhxfLZg3gx0a7qVc0qQbZFfb4jFRLnjhyI8OI6/bCZ4lxuaJxIDZSjbTn/2JReLeo7nvY3xPSlI0+Pu64vwzO5a2XltT11QlGHAluXToVExCWaZ2RZpXZPVSyyS4qLLL5hgAbE3oBzH9GI7SvRm2evGMki4dnIaNMc6NH2dYglBEMTQkuy4TRBEcskyaXGgxS1aj1o1rwzXjTGltF6jbNJaOm+A83qCIAji6oDGDyJVUNsjCCIZ5Fh1ONXiRvUfPhE+6+/z0wRBpBaTTgNvyC3KQVg1rwwmXVJTn/qEtAtBjGyG6/1uii0EQSQDyp0hiJHPcM3jI+1CEEQyGK7P4BAEoYyh8LWRgh1sxfrgNwDm9/jshwB28zxfBmB3198A8GUAZV3/rQTwP4BgnLUGwHUAZgBYwzBMzBr0fwD8S1y5nsciiAFRnGHChmWTRUmSG5ZNRnHG5Rs0OY5Hfasb+09fQn2rG1w/HKAqci1Yt6hCVP91iypQkWtRvA9PICRpJuQNKXP/DnM81uysES2arNlZg7DC8/AEInh2Tx1ONLnweYcPJ5tdeHZPHTyBiOJzGM709kYJlmUwKT8NlQU2qFjg69cVIRCOwG7UIs+mx4pZJfCFIrjkCqLQbsTMkkxwPBLMG57ZXYu7ry/C/TeVonpeKX61fDom5FgS2nb13DIAwIkmp2SdHL6gRHsqR26aFk/eUSn6fP2SCvz2b/WonluW8PkbRy9g+6HzWDVP/N01WWb86MvjRZ+tmleG0mwztv6tHr/adxr/dmMpNu2twyN/OoaHXjsCu0mHTm9Aso/GEq3jiTdi2LBsMioLbKKym742BTwPUX/rKw4MJE5cjtgyHOIXceXBMhCShYHuGDOSfAJCYU4yxoXDnEwJgiBGKjFD2ZklmSjJMgtmBXJmV2fbPL1qs/7CcTyyrNoE/bRmYTksBhUqR9nwzFcmY9NXp+DJ2ydh5ReugUbNYP7EXEwvTodWq0Kz04+GNh82763Dpj11+NPH57GgMh+nml2K5waTRtmwbnG0DlIaTE4fKNUSwWAEO483Yvmv/4FHth9L2H/13DK8cfSCqOykPJvkdXl+3+mEf/c8Zmx+FIxE8JPbJon2MT7Pig3vnkq4YXv71AJBi5bn2SSvk1y7OHahc0Bzsf7SU7tuP3QeD35xLGk5Iilw4PGDW8aJ2tcPbhkHHt1tXE73MQNcQSzPs2L9ku5+v+vIBcn1ikkSfVQqZlyTaZaM14XpRtiNGtl6TBplw/olFdh15ELCfLV6bhkee/0YzrZ5BnaSIwCaJxIDZSjbTn/2xcjEogjHJ6w3yY3xPTHrNJL7DIQ5YbzvqQsa2nxYue0gcqx6ka4EgIm5Jsl4NjFX+bWJHbM3HSp13VbNK0NlgS3h2sViXc9rVDlK2TXqC4olBEEQQ0v8vB3oGksWD13cJggiuXhCEUl96Qul9l52ICxdr0D4yrjHThAEQSQHGj+IVEFtjyCIZGA3qrB2UblozWXtonLYjaoU14wgCKUEujRBgkYIpfZZT9IuBDGyGa73uym2EASRDJw+6ZxQl19ZTihBEKlnuObxkXYhCCIZDNdncAiCUIZFr5LMq7DoB3dfJqmvReB5fh/DMMU9Pl4M4Mauf/8WwPsAHun6fCvP8zyAAwzDpDEMk9e17bs8z7cDAMMw7wKYzzDM+wCsPM8f6Pp8K4AlAN5K3hkRVwssy2B+eS7GV89Gi8uPbIsexRkmUbJTMuE4Hm/XNAmJV7FF1vnluYrqoFapkGXRYMvyaejwhmA3ahDhOKhVygOGRa+VdN8z67SKyjc5pM0EmhzKzASCkQjuml4oOJDHklNDkStDuCh5o0QwzIveZvO9m8dCr2bxn2+fhD/EYcu+eqxfUoElVfmy5g0FdgMeeu2oqB3dMiEHb1bPRrPTD6NWhVCEg8sfxqFznZJ1MmjV2Pz+p1gxqwQMA/A8sPn9OuTbK7Hh3c+wYlYJVCwwIdcKm1GFJ++YjA5vAC+vnAlvMIIcqx6FdiOmFtqj/cmsw4wx6Why+JFj1aMi14omtx/j86zo9IZg1KqQZtRgbJYFFaNsaPcE0OYOYuWcEnB8dCKfZtRgbI4Zv71nBrzBMArTTRiTGe2jsUTrR3d0u7/+5LZJKEw34I6p+cLNije7+neuVY9PG134p2c/SOhvvcWBgcSJyxFbUh2/iCuTC53SMeZCpx+TC1NUqX6SKxd3reQ6TxBXC72ZXQ3V277idfz1Y9Lxq+XT4fCHkGnWIteqR2G6CRzHw+kL47HXu7XK44srRPuJr0+eTY/lM4tEuljJ3ECrVWFheS7y0/S40OGDzajFw18ahwyzDuV51gQzhxhKtcTRiw6s7jqHRocfW/c3YOWcElSMsiHHqkMowmF+Ra6orF6vxqJJeRiTaUSzM4Acqw5aNYtv33gNRtkMsJs0GJNpTDhmz/lRUYYBv/znaQiGOeRYdWh2BiR/2wm5Fry8cibK82xQq6VdfOTaxQe1l/D0O6f6PRfrLz21q1bNINemF2lfrZp0HDE0ZFt0yDBrRe0rw6xFtqXbZf+SOyjZJ9rcwQEdU61msaQqH2XZZjQ5/Mi16VGWaRLFgUl5Nuj1iUuUUjFDo2Ik43WTw4/WNANKc6TrwbIMtGoWiyfng2WBp5dWIRjhcLHTh20HGtDo8KPF5UdJlnlA5zncoXkiMRi0amZIxqX+tMM2mVjkCYTxuxXXod0TRI5V1+sY35NLHmm98OHpNjz/QT02LJuMLItWVi/2jA8nm704eLYVv/7mtWhzB5Bh1mHHx+dQkmXC9OK+NWRM33zW5OxVh8au27jvzMa5dg+MWjVyrDoUpideu1isE/9e7JD1dYolBEEQQ4tWq8KSylEoyTSh2Rldm6gcZYNWS0mZBDEScPnCMgkE4RTVKEqnV7peDl9q60UQBEEMb2j8IFIFtT2CIJLB2Ut+vH2sEc8tn4ZObwhpRg1+8+EZpBu1KJO5l0gQxPAiIPPS02CKX3pK2oUgRjbD9X43xRaCIJKBWa+WfB7JqE1qKjlBEEPIcM3jI+1CEEQyGK7P4BAEoYxGhx8mHSPytXH5g2hyBDAhb+D7TcXsJYfn+caufzcBiN1Wygfwedx257s+6+3z8xKfS8IwzEoAKwGgsHCEODYQKYVlGZRkmVOSBHm2zSMkeQPRAfvBVw5jfPVsRfU5etGBf/39JwkLFr9bcR2mF6crqkMwEsGDXxyLDe+eEhLuH/ziWMVGVFkWneSiSVZcgm1vWHUavHzwnGC+BAAvHzyH/3fNFEXlgWhC2dk2j5BAkIyF6oHGltgbJeLNzjZ9bQp4Hth/+hKMWlVCG/j5e6fw9NIq3De7BACw/dB5PLrjOMqyzbLmDbUt7oR29GZXO4pvS0c+78SB0614bMFEPP7GpyJThk5vCA1tPmzeWyc6hwsdXtHneg2LB28ug6lEg1CER7pJg0n5aWBZBhzHA4iaaIFhMGW0HWxR929RrDejODOxbcfq+M8v/CPh3N6sno3rSjISykglWkslRsauQX2rGw++chh2oxa3Ty0AwwCfNTkxMc+C4kxzr3FgMHGC5/tdRDGpjF/E0DDcdItsTDcri+nDAV84glXzygR3aL2Gxap5ZfCT6zxxlTHc4svlpDezKyltNpC3fcXr+JPNbhw40w4VC+RZs1CQZgTLMjh2oVMwwQKiGu2x149jbI4ZVaPtAKJacdPXpuDoeQfKsi146LUjA5obnLrkxorfHkw455dXzlSki3vTK009DKQaHX5s3F2HzV+bIpyHFFqtChlmHcIcjwyzDsUZJlSNtgvaXeqYPedHDW0+fPt3hwRd+7fTrZK/rd2kSahLzzmCSSd9s7ew67fv71ysv6jVLBZNGoXiDBOanH7kWHRY/mtp7Tuctd3VHFv6y+WYp8rR6Qnhv987hQWV+WAYgOOB/37vFDbeNQVFXVMruQcgTLqBLyGyLAOLXgNvMAKLXgOtRi2KA70l+uv1alw7pnvet/90K1YvmIh1cfPWxxZMxJ8//hyzyzJl91PT6MDDXSbR8ee1YlYJGh3+AZkfjjRG4jyRYkvqOdvmwQMvJa4xDnRcUtoOe4tF6SYtQhEOFr2mX/HTqFWjKMMgxEAA2HXkAni+e7x/eeVMxeaoTU4/TjZ5cMkdhC8QARDEyaZofFdCTN/YjVpUzy1LMD2N16Esy+CabDOuye79usnFuqJ0Y6/6rD+MxFgiBcUXIkZzUxOKx5bLfp+Xm439+/ZexhoRI5mBxBa1mhXGtnSTVrHBI0EQqSfLIv1SqQyTspdKKaW/seVy1YsgiJEPzYuIeGj8IIYK0i4EQSSD/sYWi0EDVyAEhy8MfzACJ8PAFQjBatAku6oEQQwRNoP0vUKrxAu2BgNpF4K4+rgc97spthAEkQz6G1t0KlYyJ1RP96MJYsRwufL4SLsQBJEM+htbMs0UWwhiJGPTa/FvEr42v19x3aD2m1IbX57neYZhkmgFIjrWFgBbAGD69OmX5ZgEMVCandKOvS0uv6JF1yanH9ePScc3Z41BhyeEdJMGL354RnEiFgAEwhHoVCxWzikBxwMsE10ICfSolxwqhsO6ReVYvbNGWDRZt6gcKlZZ9wtyHO69YQzavEFwPKBigHtvGIMgp+z4HMfj7ZqmBDOD+eW5Q5pkPNDY0vONErlWPT5tdOGfnv0A/hCH6nmlkm3gVIsLm/bUQa9hUT23DNsONKDJ4cek/LQE84YnbpuEn/7vZ6J92I1atLoCCUnXHM/hjqmF+OW+OqyYVQIVC1QVpMHpC8CkU0mKSH0PJ3i7UQuTXoO7thwQXfNbJuTgnRPN4t/izirYjNFE6JIME8ZkmWV/l2anX2RSBURNwHrrD2o1i6rRdlSN7vu3iO1/+cwiUdJhUYYJhelDm5R+udolMfIZbrqFZTisX1KBR3ccF9ru+iUVYNnUvmGrP5zv8GHr/gbBYJHnga37G1CSaUJFflqqq0cQl43hFl8uJ72ZXQ3kbV/hMIeaRgcaHX7k2Qwoz7MKOj7Pphdpiy376rF+SQWWVOWj0SGt9ZscfpF2CYZ5bNlXj/tmlwx4bqD0WPEo1St5MsZiOVZ5Ixm5fUvqxbhj9pwf5dn0uH1qAU41uwAAo2wGSbPDUTZDn8f/2Z1V+N7NY/Hz97pv9lbPLcPFTq9wHIYBWt2BpBgWcRyP9z5rEepUPa9UUvs2O5XNBVPF1Rxb+kOq5wNt3gDuml4omvdUzy1DmzcgbOMPhRP6xPduHovAAM1De55zUYYB35lbJtKV/bkGTn8Y79Y04Zf/PA0tTj8MWjUaO724+/ox4Htx72t0SM8rGQYDNj8cLFLjCBkfiKHYknrk1mSSPy5xWLuoHGvi1hXXLipHmONw68YPBhQ/OJ7Dd+eNxZk2j7DW+N15Y/Hi/50BENVI3mBEsTlqcboRX72uCA93GZbqNSzWLCxHYbpR0RnG9E2jw49tB7rnqrNLM3FtcfqAxgW5WNeb9kslqYyDFF+IGBGex8wfPC/7/YGn77uMtSFGOv2NLameHxAEMTiCkQh+smQS/mPHMaEP/2TJJIS5oX35Rr9jCzj85LZJ+I8/x9XrtkkAM3Lu5xAEcXmgeRERD40fxFBB2oUgiGTQ/zWXCO6bXYLY7U2GAe6bXYLIEM/XCIJIHv5wRPJ5Vb/Cl3krhbQLQRDJgGILQRDJoL+xpcMXhEGjEuWEGjQqdPqCSa8rQRBDhEweH4Y4j4+0C0EQyaC/sUWrhmRs0abUBYcgCKUEwpxk/mowMjh90O8QwDCMked57yCO2cwwTB7P840Mw+QBaOn6/AKA+HSMgq7PLgC4scfn73d9XiCxPUEAiD5AfrbNk2D4MxLIseqxbFoelkwtxCVXAFkWHf788TlkW+STyuO5JtOIL1eOwre2Heo2oVpcgTGZyhKxAMCs1aDT047/V5qDFlf0Gu6vbcbEUVZF5SM8i1NNnfjNPTPQ2mUm8G7NBRRnKkssNWhU8IYi2LKvXpTMbtCoFJU/2+bBk2+fEJLIAODJt09gfK5l2CSQx79Ror7VLSQ7AADHQ9JYIBbz/SEOG/fUYuWcElgNGrzzaROKMgx444FZuOQJINuiB8sAHd7uRao8mx53X1+Eh7cfwYLKfKhYYGqhHXaDGqEIj+0fn8OCynwwTPT4696oweOLK/Dih2fw5B2TcLq1O1Hwmmwztv6tXnQ+d04vwONvfCrU2W7U4mSTE2qWwWdNTtiNWjQ6oiZtnmAED77anSj41B2VuLUiTzLZLc+mx7fmlOC/3j4pSn7Ms8n3B7fPj0+bPGh2BpBj1WFirglmg/T2OVY97pxegD0nm/DU0ir4AmEYdWr89m/1mDw6rdf20t84c7bNI/qd/SEOD75yGOOrZw+bdkkQUug1Glj0YTy9tAqeQBgmvRoaFQO9ZuS8KS/PZkB+mg7jci1CP89P0yG3l1jSX0ay9iCIKw25/ihndtUzCb/QbhT6r9S+OI7HjiMXEm4sTCu0Q69hcfvUAsFoBoiO+Y/uOI7KfAvSTVr8912TBbPavacuQa9hRfGop2YoyjAIOg0Adh25IMwNpOoX20e2RYfqeaXgupYNtx86jw5vsNfYJ6VXnnz7BPLT9PAEItCpWTj8QWSZ9XhqaSUefu0o7EYt7pxegGuyzLAZNOA4XjL+yWmhF74xXaQXe2qkHKset0zMxNdnjoE3EAHH8/is2YXjF5040ehERb4NN1xjx9TCGcJvq9cwONHkRLsniEmjbNBqVZLH//6rR7B+8UQ8t3yaYCL8uwNnMKUwQ2Rm9vwH9QNOSA4GIzh60YEmpx95Vr1QH6lrYtSqcM//K054C5NliN9qSaSGVM8HLDqN5Lzn2uIJwjZWvRZ2Y0D0AITdqIZVPzDd1/OcF1TmC7ET6Psa9IzPo9MN+FJ5Dho7vWh0BoQ5qicQglolv95QYDfg/puuQYuru8y/3zoe+WkGLJ2aP+QmyH0RDnOS48iSqvykmcCQViUGgkWvxn2zx+Cn//uZ0FYf+tK4fo1LPcfB8lwrLrr8vbZFllFh94lGPLd8Gjo9IaSZNPj9gTO45/9d02v86K2da1Qs2r1B0VrjQ18ah/vnluHYBQd2HbmAHKse143JUGSOGghz+OVf60Rrj7/8ax2eXlqF/acv9dnPciRMRVkG0EusffamJeKRinX333QN8u2GhG2HioHGllTEQYIgiOHGSLiPRRCEPFa9FpfUIdH8WaNmYNGn9m2URo0GZl3i/RzDCLqfQxAEQVx+aPwgUgW1PYIgkoFJp8EldxB18c+7Zplg0lFsIYiRglGjhj/kFa27+EMRGDWpfXaGtAtBEMmAYgtBEMnAotPg2PmLCXmp43OLUl01giAUYpTJ4zOmWCOQdiEIIhmoWBXMOlVCbFGxyvwkCIJILbk2PaYX2XD3DSWiXLUc6+By9xWvBjMMcwOA5wGYARQyDFMF4Fs8z/9bP4+5E8A3APxX1/9fj/v8AYZh/gjgOgCOLrOs/wXwBMMw9q7tbgHw7zzPtzMM42QYZiaAvwO4G8Cz/awLcYUy0t+inGvWYlZZDg7Ut4HjgdOtbswqy0GuWdmDs55gBKtfFyeWrn79OH63YobiOhi0QJ7djG+8+I9uM61F5TBolV0/luEwNjcN3+xRnlXo7uv2h/HMbrF5wDO7azFldJqi8m2eAO6aXigkrus1LKrnlqHdExh2CQSxhLH4xLfth86jem5ZQv23HWgQtvGHOJRkmvHDPx1FQ5svIWGM43hsWDZZ6Ad3Ti/AHz86l3Bd1i+pwB//0YA7phbil/vqhH1Vzy1DIMyhvs0DhzckShR89J8m4O4bxuD4xaPwhzgUZRgwNtsinEOeTS8yDojt76Mzbfjn64tx/0sfi37bh7cfRbpZixtKMhP6aCjMCyZYse3X7KzBluXTMNqemFzn9vnx5vFWrN55PK7tVeDWiixJM6ziDBOmFaYhz2rAw691m3OtWVAORy9u9xzHY89nzTh63iE8MDGpwIa543Jk40yz0y/patns9A+7dkkQ8YTDHOpbPUJcjpkT5ph1qa6aYsoyjVg2vUjUz9ctqkCZQoPGvhjp2oMgriT66o8xI9IYvSXhsywjua+CNH2CkcujO47jlZUzsWHZZJxscsIf4pBn0+P2qQVgGCDfpsOR8y489nr3cdYuKodGDdxSPgrleTahTvGaYd9nLfj2nFKsfaNGVL9Cu1H2XLVqBo+/8SmWzyxOMJYtsBtEx+pJT72SZ9PjrumFuGvLAZGuW3vwU6yaNxavfut6nGwSn5dc/Gvs9Elqof317Xj+g3pB78bMsFpcUY2UZ9bh5glRo99HvjQO/jCXcF56tRX/EmcEvGZhOf7w9wacanFj3eIKLKkchSZHohYbm20GB1ZsIryoAqFIBI//5cSgDYuCwQh2HL0ozM9iJsVLKkdBq1WhyeGH3agV2smYDDNWvfyJ6Lgb3j2FqYXK53LE8EVuPhBr68kmFIngjqmFCfOesOjtxzxW7/xUVE+9hsVL9w2sDfY853SjRvIaNHb6Eq6BVHx+5iuTMSbbjI8bOhPiQCgsv95g0Kjg8ocTynR6gjBo1RhlNUiayiSLmkaH5DhSlm1G1Wh7H6X7D2lVYqAEw5xgggVE2+pP//czvHTfdcrKByPYceRiwhrNKwcbcLDBIdsWg5EwbhqfJxqf1yzsGa/EMbSvdu4LRiTP5dmvTsHzH9QL+kpKL0rR7g1Krj02Onyo/uORPvtZcYYJG5ZNxpNvnxDtZ8s+sflmMBjB60cvirTW44srsLhLS8QjF+uUvligvwwmtlzuOEgQBDEcaXX5JceS1ss0PyAIYnD4QxE8/NrRhPlzf+7HJ4Mr4X4OQRAEcfmh8YNIFdT2CIJIBjzH40KnP2GtvNCu/EXCBEGkFm8wgvVxz+wA0XWX5++ensJakXYhCCI5UGwhCCIpMBymF2fh3t98JHpmi1GY00kQROoJyWiE7BRrBNIuBEEkg+Ea8wiCUEauWSuZu6/UF0eO/rxa++cAvgSgDQB4nj8CYE5vBRiG+QOA/QDGMQxznmGYFYgaYH2RYZhaADd3/Q0AbwKoB1AH4FcA/q3rOO0AHgfwUdd/67o+Q9c2z3eVOQ3grX6cD3EFc7bNIyTgAN1Jy2fbPCmumTJOtrhxodOHLfvqsWlPHZ7bV48LnT6cbHErKt/kDMiY7QQU18EbBFbvrBGbae2sgTfIKyrP8axkeY5XFnac/pDkOTj9YUXltSpWSB6Ild24pxYaVX/CXvKJJYwd+bwTek133Rodfuw52YTfrbgOm782BVuWT8PLB8+h0eEXttFrWDQ6fAiGedx/Uynum12Cz9u9ONnsBACwLIP55bl4s3o2/rjyOkwenYYFlfkJ1+XRHcdx9w0lWPtGDRZU5gufb9xTC7NOjR/On4An3hIbUa3/ywlccgXw82WTsfGrk/GduWNR2+ISzuH2qQWS1/+bs8bgyPlOyd/2YodPso+e6WESFtv+YEOH5PafNnmEBMvYtqt3HsenTdL9n2UZGLVqwVwiVmbtGzUIR+Tb+7l2D2qb3aJ+Wtvsxrl2+Thj1KpFvzMQ/R2NQ5xwzXE86lvd2H/6Eupb3eA4vl/fE0RPXIGIpDmhKxjpo+TwoabJhc3v12LFrBI8MDcaMze/X4uaJteQ7H+kaw+CuJLob3+US8KvaXTI7uuihKGSP8Sh0eHH/PJcfKEsC0UZBiyfWYQXPoxqhUZnQDAwiG2/ZmcN7ptdKhiZxsix6gXNMHtsdoJOeXTHcZzr8MrW7+h5BxZU5uPpdz5LiN3leVac6/DK6oD4YwPyuu4r1xbibJsHDl8o4bzkrrdGzUpqIZ7v3u/tUwuEz7MtURPT401OQd8VZZgkxySHLyzWcrtq8P0vjYvG+721OHrRAZ3E8VfOuSbRRHjncaSbdLKGRf3h6EWHpEnx0YsOAIBJq8Ld13e3k5pGh+RxO7yhfh2XGJ7kWPUoyjDg/ptK8cDc6H9FGQahrScbtUolOe+Jf1NGqzso2QYvuQfWBvNselTP6z7fiflWyTigUSfO1aXicyjMIxjiJeOApxdt2uT0S5YpsBvx2OvHcazRMaDzGyiNMuNIk6N/MUYppFUJJUitFVxyS68xXnLLG4fHc/SiQ3KN5u4bSoS/49tirA5alRprd9UkjO06tfi9HvF6oa923u6Vjm/hCC/SV0qxGTSSGslm1EoevyexdbuNX5mSsJ/4cscaHQlaSy5uycW6Jufwiy2XOw4SBEEMRxiGkRxLGIaMSgliJNDqktaXrQq1crK4Eu7nEARBEJcfGj+IVEFtjyBGPsPxOUSKLQQx8nEHwrAbtaJnK+xGLTyB1PZjii8EQSQDii0EQSQDnmcln9lSmtNJEETqcctoBDfNiwiCuAIZrjGPIAhlHG9ySc4/jg8yd1/d9ybd8Dz/eY+Hb3uNIDzPf1Xmq3kS2/IA7pfZz68B/Fri84MAKnqrA3F10uyUTqRpGSFvUXYHwpKD9pbl0xSVzzBpodewomug17BINyl3zmsepJlWiysAu1GL26cWIBY2th86j1aXsvJmvVryHMw6ZYZB3mBEsv7eYTapiiWM2Y1aVM8tE5IephfZcP9NZdhX2wqOBw6cbsW355QKSctRN8Ry/O5AA5bPLBK9MXx0uhET82xgWQYsy6Aky4ySLDPqW904/Lm0CZUvGDUOiA/x/hCHi51+hCOcZBmTVo2Gdi8qC2y49zcfic6BYSBZptMTAsdD8rc1aNWSfVSvYSW3j3BAi8uP4gwTzrZ50Oz0I8eqH1DbbXFJl2nppb02OwOS/XRqoR3FmdJxJhiJiH7n2BveQ5GBu+qHwxxqGh1odPiRZzNgQo4F733WIiQi6jUsNiybjPnluWBZRjBfi/9+09emYEyGGS2u6DUszjCBZSnZhujGHQhL9hF3QJk54XCgwxvCXdMLE/pfh29ojEVGuvYgiCuJ/vbH3pLw5TSl1SCtVXNterAsg6qCNKxZWI5/+/3HwjYcL62PWl0BkQkWABRnmLBh2WQ8+MphWV3V4vILBlI9v+N4SJazG7U4fN6BH/35mKRO6Hlsf4iDio3uJ8+mF7S9QcNidLoBp5rduNDhU3y9O7wh/OCWcYJBVywWbzvQIJRjGAj1Ks4wAQDcwTCeWloFXyCMoIw29fQYk2K/4fMf1EfjvTcIFYsELRbhecn9xUyzev7G/TUsapJpj81dhhTuoHjuJ3dcm0HTr+MSw5MCmwE/XliOTz7vBMcDu45cwHfmXr63D8vNleLnPSatdHwbiHkvx/G46PBiepEd7Z4Q0k0aRLhIQhz4wS3jJM3epOKzJxAGy0rHPlcvxtkuv7Se9XTF+d7mfskgz2aQHUeSAWlVAkhcPyjPswoaRGqtYMOyybDJrM8pjQlyOssXDIv+jq3v7PmsGUfPOzA2xyIbr2L16akX+mrnBo1K8lysBjUemFsKAGj3BBT3CYdX2sT/RKNL9Hdv/YxlGVm9GSvXoiB2x5CLdW5/ctZDBxNbLnccJAiCGI7I3ZdQeh+NIIjUYtbJ3cvu1yM4Q86VcD+HIAiCuPzQ+EGkCmp7BDGy4TheWNfneEDFAJMKbJg7Lielzx7KxhaFL+ElCCL12I0a3H19kfA8jV7DYtW8MqQZad2FIIgrD4otBEEkg/48b0QQxPBEViMEU6sRSLsQBJEMhmvMIwhCGcl6FrY/q8GfMwxzAwCeYRgNgFUATgzq6ASRJHKs+iFJWk4V/pB0AlTPz+TQqhisWViOtbu6TZPWLCyHVqX85nKOVSd5DXOsOkXlC9L0kjehRilMZjJr1XjmriqEItFEV5NeDQ0LxQ8Py7WBHOvwagNtngBWzCoBwwA8eKyaVwaGAcbmmOEJRJBvM8CkV2Ninhm//vAMnlpahVPNLrAMkGbS4sbx2UIif8yc4Fy7F8cuODAp3wYAgklUnk2PqYV2WRMqvYYFH/dCLr2GhUbNIs0o/SB3lkWLTIsOB+rb4A9xaHT4se1AA1bMKsG4HItkmbw0PbYdOIPHFkzE4298KrSN9Usq0NjpRfkoa8I1shk0WL1gItbFbV89twwvHzyH26fkJyRqbr13Rq9tl+N4kXFWcYYJuQNoL56gtLj29iKuM0w67DnZJBg5GHVq/PZv9ZhfkStbpjfCYQ47jlzAozuOC+f/+OIKvPxRg8ig68FXDmN89WyUZJkF87XY93ajFrXNbjzw0ieyhhgEITcmZJuVjQnDgTSjRoiXQLRvbNxTi633zhiS/Y907UEQVxL97Y+9JeFb9BppTWM1YP2SCtEYvH5JBcrzovpLrWbBINGoRaneYFkG88tzMb56NlrdAew6cgELKvMF09JdRy4I5/PGd2bAG2DR3GVoadRyeOfTdknz0TunFwgmWECiTogd+5YJOXh55Uw0OvzIMutwsrETS6YU4mSTExwPvHLwc3z35rEwaFQwyiT9SV3vPJsO3mAYK+eUID/NgAudPmw70IBGh18oN7s0E7dPyReMOcNhDq2uIFa/Hr3WP5w/TvJ47d5gwrU2aNVCvN927wxo1Sq8fPDTbv3NyxtPhTg+wTQr3mxDKXl96Mye5hcsw2DVvLKEedRATIiI4QXH8Xjr0yY8sv2oaF7z7J6ome7lMCPKtuowvciGu28oEc1HsuI0nUGjkmyDBk3/2+D5Tg8+b/djzc44Q+fFFSjONGLlnBJwPMAyQIZZi1yJtQap+GzSq5FmlI7NmWZ58+9RadKxXs0y0GtYWC5zonJ5nrXXcWSoIa1KSK0frF9SgSVV+VCr2YS1gphGeOm+6yRjgknhuJQtM5fMMuvwwNxSbD90Hh3eILItepxr96C22Y0t++rxm3uulYxXGSYt3qyejRaXH9kWsZF3X+3colMnnMuaheX40Z+PoaHNB72GRVm2GVM5XtF6SLbM8eJN+ZT0s77qbZUxI5OKW3KxLs+WnLn7YGLL5Y6DBEEQw5Fsi8w4aRk5a64EcTWTZlRjw7IqcFz3vWyWAdL0qU3IvBLu5xAEQRCXHxo/iFRBbY8gRjbx6/rx9xBKs8yyLxK9HMjGFlpzIYgRA8Mw+ONH54TnewDgjx+dw7Qie0rrRdqFIEY+nT4/TjV50OwMIMeqw9hcE9IMqX12hmILQRDJQO5ZUYotBDFyGK4aYbjWiyCIkU2OjdZ0CWIkk22RyVUbZB/uz1N43wbwDIB8ABcAvAPg/kEdnSCSRHGGCRuWTRaZ4wwkaTlV2I1ayUHbbtQoKs8wDExaBluWT0O7J4R0kwad3gAYRrmpTZ5NhXWLyrE6PmF1UTnybMoS3YIRXkgsA6IJdM/srsU0hYYjahWDDm8YP44z8/rxwnKMTld2DoV2o2QyVaHdqKj85YDjeFzs9OOFD7sfBKieW4aZJWk42eRNMDJbNa8Mfz/biec/qMf6JRXQqRgUphsFE6zlM4uERP0t++qxYdlkaNWMyODo19+YhvVLJuHRHcdgN2px5/QClGSa0eb248k7JmHDu6cAQPi9t/6tHg9/eYJk0qPNoMWDrx7Gwqp8ob02OvzYvLcORRmGBLOrn905GXlpOtw5vRC/eL8OK2aVQMUCkwvSYDGwSDNqEvoox/HwhyNQs8DPl03GiSYnIhzw8sFz+N7N48CAT0jUfOf4BaxbVIHVO4/Htd0KTMg1geP4BOOsDcsmY25ZFtYtrhAMFmIJ2pWj5JPvitJNkv20MF0+zhTajfjGDWNQ2+IS3oL2jRvGDLhd1jQ6hDYeO//HXj+Op5ZW4WDDJ8J2Ued+P0qyzGh2+kV1vn1qQUJf7WmIQRB6DYu1i8pFJgZrF5XDoGVTXTXFdHiDsBu1uH1qgfBwxPZD59HZwzhloIx07UEQVxL97Y+9JeGzLCO5r6IME0bbjSjLNqPJ4UeuTY/yPBvU6u64WNhDK2w/dD5BU61bXIGKXCvqW90ik06WZcCyDEqyzBhl0eP+G8sStM0oix5+PoyDx/0J333l2hx89VcfJxg5jc22yLzhxy+M+xzH450TzcI5F2UYcP9NZaJr8L2bx8LlC+GZ3bWwG7UJ5yV3vUNhHv/+p2Mi/drRFYdjGjPHqhM9FFvT6BA0GgD8dn8DHvziWGx495RwvJ/cNgmaLjObWJ3XLCjHmUsewWTD4QvhxrF2fGdumei3fuYrk/H44go8FqcD1ywsx+Y9tWh1BwXNOm98Niblp/XbKHTSKFuvOrMkQ9xOPMEI9n3WIjJO/dW+05g8Oq1fxyWGH2fbPIIJFtBtyrliVomoDyaTIrsKy6YX4uHXjojm+UXp3fP8dm8Q/6hvw3PLp6Gjaz3hxQ/PoDS7//Vr6gwI+hGInvPq14/j6aVV2Li7TthOr2Hx+xXXJZSXis8mHYtAKJLQbx9fXAGLQX69YmJu4r5+vLAcL3x4ul+m3UOFWs1iSVV+r+PIUEJalZBaP3h0x3GUZZtRNdqesFYQ26bNHcRbxxoTxqWqgjRFx800Ja4vrllYjv9+7xROtbixal4ZynLMKM4w4aOz7YKesBvVuPv6YtTFrZ/cfX0x0k1qlGSZJWNmX+08zahBrk0vGPGNz7Hgp++cREObTzjfR7YfxaR8m6KYLBWj1i2uwOa9tQCguJ/1Ve9RNr3kupxU3JKKdeuXVGBiksylBhNbLnccJAiCGI4YNSyeumMS6lo9wnh3TZYJRg3FQoIYKTh9ifeykdp8TOg1LJ68YxJOx8WWkizTiLqfQxAEQVx+aPwgUgW1PYIY2TQ7A5LPCE8ttKfUCMsgE1uMFFsIYsTgC4Zx1/RC0TNP1XPL4OvlRcWXA5YB1iyYgEZnQIgvuVYdVBReCGJE0Onz453jrQnPWt5SkZVSMyyaFxEEkQyyzNLPimZZ6KW8BDGSkJp/9CM9PCmQdiEIIhmwYKTXXFId9AiCUIRWBdzZY/6xdlE5FL57XRbFRlg8z18C8PXBHY4gLg8sy2B+eS7GV89Gi8uPbEt3QvlIwBsM43s3j8XP3+tO7v7ezWPhVXgDxx0IwR/isXLbIdGChTsQUlyHs5dCeO9EI55bPg2d3hDSjBr8/sAZ5KUZMDq97/ItroBkAl2rK6Do+E5/94PDsbI/3lWD39xzraLy5zq8eLYrqZhhAJ4Hnt0Tvck+XMx95BKhpxXNEEywYp+v3VWDF795La4bk44vTsgWjBmOX3BAr2Fx+9QC4YZfrMyDrxzGyjklos/u/e0hvPmdG/DSfdfhdKtHlDj8xG2T8PSdVbjY6YfdqIEvEMKN43LQ7PBj6/4G0bXcur8Bo9ONCIZ5mLSqBNOrr19XhEiEw0+XVsEbCKPdG0T5KAsudHQnQm/eG0181mtYvPCN6Zg7Liehj55t8+D/6trw6sHzuPv6IpRlW+ANhHHntNGwG9U4dtGZ0M6e/7/Pse2ebGy9ZwaaXX7kWPSoa+5AqzuMVnc4wTjrwVcO483q2VhUkYcxGUY0OQPIteowKc8GbS+j7JhM6WS/MZnyyX7nO7043+FLeAva+U7vgB7+aHRIJ6r6e8SKqPtt9AZNjlUvMltgGPRpiEEQDl9YMLCLxYFfvF+H/7q9MtVVU0ymSYe7ry9KSB7OMA2NM/RI1x4EcSXR3/7YVxK+3L5YlkHVaDuqRkvXo6dW6PAGUZptxu/vuw6NDj9yLDroNCw+OteBR18/hoY2n6An5pfnCvWtaXIKD18AXUYyO4/jmiwTIjwv+d3We2fgxW/OQLsngJdXzoQ3GEGOVQ+eh4xLfveDHGfbPCK9tKAyX2RE5Q9x+Pl7pwSd2dilFVfOKcHEPCvG5lhkr3djnMlGo8OPbQeiGnNsjhmnmt3Yur8BUwrTRLqop95pdPjx4v+dxXP/PA3NTj9Gpxth1LB4/C+f4qmlVeB5DsEwj3976WNRvDfpVJK/9YQcK/afvYSnl1bBEwzDpFVDo2bg8EfnTioWGJttgVmnzJS4J1qtCksqR6Ek0ySYnVWO6taZY7LM+Nmdk/H9V6PX3KpT4cuT8kSLP6vmlSHvMpv0EEOPnMmMioWoDyaTcx0RwYwmdvzVO2uw9d4ZyE2LbpNt0eGWijx8K249Yc3C8gG9TUNuXcDTY77iD3FocvoTykv12QjH42vP/x23lufg19+8FpfcAWSZdWh1+dDull8zEfaVZcbnHT5YDWqcbfPghtIslGan5q3UajXb6zgylJBWJeTWD5ocflSNTlwrAKIaIS9NLzkujUpTFrdcfh6be8wlf/nXOiyozMfRC048s7sWf/nObLAsA08w3G0MGeBwodOfsH5SYDfiyOcdaHT4kWczoDzPKmi2vtp5kzOAnZ9cwDdnjYHDG4LVoEYwzCdcE6XrIXK6YnqRvd/9TKtmBIMulon+HaMo04zSbI/oe7m4dbnNpQYbWy5nHCQIghiOuAMRNDkDovHuwS+OvWzzA4IgBoc7EJG8l/3iN5Xdy04WnmAEzRKxZVSaIaX1IgiCIIY3NH4QqYLaHkGMbOLX9WP4Q5zi55yThZtiC0GMeAxadcIz8Rv31GLrPcpexp0sOn0hMAwrii8/XlgOh095fgZBEKnjVJNH8lnL4swZmDEmdfdmaF5EEEQyaHXJPCt6zwyMyUpx5QiCUITTLz3/cPpTO/8g7UIQRDLo9AUlY16nL5jqqhEEoYBgBIJ3CBCdf6zpylUbDIqNsBiG+S2AVTzPd3b9bQfwM57n7x1UDQgiSbAsg5Is84g0cjFo1XjpH2LjoZf+0YCnl1YpKm/UqrF658cJCxa/60fA8ATDeOfTS3jn00uiz2+fWqiofIZJK5lAl27SKip/yR2UvEl+ya1MuDQ7/Who8wlmSzGGk7mPXCK0XLJwmyeIWyvyRMlkFfk2bFg2GSebEg2h/CEOnDifD/4Qh0+bPDjV7BJEYezzH/35GF5eORM6NYu/n+nAnz4+HzU2uPdadHiDomup17DIsXSbytiNWqycU4LCdCNG2fT4/qtH0egQJzJPKUyD0yf98IMnEJFMkmt2+sHxQIc3iCff/kx0/G33zsDH5zol29mRCy74QhwYBvis2Y3th86jJCcNPC9t+tTuCeBkkyvB1CrehKInA0n2G+q3oOXZDJLnPzrdKHweO5fijKhBV3GG2JRDxfRtiEEQbZ6gZExt94ycyWQgHJHsf7/+xvQhO8ZI1h4EcaXR3/7YWxL+QPu2nFYAgGZnE5b/+h+itxZuO9CARocfD75yGOOrZwvHa5TRjE1dOknqu2ZnADPGZCTUmeN4SSPPWL2idRMfT840M15nNjr82Li7Di9+c3qv1ymvh8lGo8OPFz6sx1NLq7B5b52kBpHSOx3eIAwaFaYXp6M4w4Q3jzfiYIMDBxs+wf03leKFD+sT4v22rrkQyzKw6DXwBiOw6DX4vNOHb237OEELvfbt63Gq2Y0f/fmYYn0oh1YbrasULMvgyxW5mJAXbSdGjQrLthxIqP8tE3P7dUxi+CFnMjO9KF3UB5NJs1N6rtns7Das9oUiksbMSk2p48mzSZ+zSStejtRrWORYpecfPePzG0cvwm7UojTHint/85HQPx9bMBElWb0vc6rVLKoK7ZhUkIazbR5o1SxmlV49hlCkVa9u5NYPcruMFnuuFcTGPb1aJTmPUjouNcmsz8Ve0OMPcWh1+3FNthlF6Sahjq5AWPK4zy2fJjLqW7+kAkuq8kVmWHLt3KJXY0ZJhqj8qnll2Lq/QVjD6u96iJSG7G8/O9vmwQMvfZLw27zZpQdZlsG88Tm4Jsus2OT1cppLUWwhCIIYOGGOx4Z3T4nGuw3vnsLzdw/deiVBEMmjzSN9LzvV9018wYhkbNmyfFpK60UQBEEMb2j8IFIFtT2CGNnEr+vH0GtYFKZfnnufclBsIYiRT6vcy7jdyl7GnSyMGjV+vEucn/HjXTUpN+giCEIZSp6bSgWkXQiCSAbNMnqq2ZXamEcQhHKMWpn5xyANJQYLaReCIJIBrbkQxMhGbs2lZZBrLv15FXhlzAQLAHie7wAwZVBHJ4grGI7jUd/qxv7Tl1Df6gbX05GoF7LMOnz9uiK88GE9Nu2pwwsf1uPr1xUh06xTVF7ORKqtHw/exoys4tFrWGQoNLIyaVVYs7Bc2Idew2LNwnKYtCpF5TPNgzt+LMm4Z/nhZO4jV8ccq06m7jrJJLeJeRbMKs2ULNNzc72Gxalml6xpwoVOH0alGfDG0QtCEuCLH57B2kXi33Ld4gpkmrX440fnsGJWCe6YVgCOB57dUwuTVg2tmsH9N5XigbnR/4oyDMi26GHWqyTradJJt4scqx67jlxA9dwy0fF/ctskuAIhvHLwfMJ365dUINuiharrMCoG+NcvlCDXqpe95hoVKyR7xq7Fg68cxtk2j2S9YsSS/WaWZArJib0x1G9BK8+zYv2SioTznzbajjerZ+OPK6/Dm9WzRYYNMVOO2Pe3TcmPJrfG7aOnIQZByMVkpeaGwwF3QLr/uQORFNWIIIirASmtcLbNk6A7Nu6pxe1TC4S/W1zdhqKyutisldWNOVbpeUNPHdBTJwDRmyZS++z5t5TOlHugNTY3Yllg3WKxdlmzsBzP7zstq0Hk9M7UQrtwTbMt3ddBzrjLEwiD43i8XdOEWzd+gK/+6u+4deMHONEobSjrCUQEE6zYZz31odI5X1/bxbcTTzAi8zCf2GSWGHnETGbi2/KTd1TihpKMy2bCpCRmtMmtJyg0pY5n0igb1i0S9991i8rBshB/trgClaNsivaZYdLizukFCW9/ffyNT+EN9q7rYn3x72faAAAzijMUzeMI4kpAbjwtz4v2PTmN0OqWe8hc2bgUM+CKR69hwfPd/46t1Y3J7I6T/pD0eBgIcaK+/+iO46hpdCiqizcobY585/QCoS5P3Dbpsq+HyBvld1/j/qw/DWZNmiAIgri8eGXvF9B6JUGMBIbrfROvzNoSxRaCIAiiN2j8IFIFtT2CGNkUpRsl7z0UpRtTWi+KLQQx8ol/DiiGXsMiy6IsjyJZyN87JUMJghgJ9PdZy8sFaReCIJLBcI15BEEoR9YgOMWGdqRdCIJIBrTmQhAjG1lflEHOP9T92JZlGMbeZYAFhmHS+1meIK4aOI7Hns+acfS8AxwfNeKZVGDD3HE5ihIsGQZIN2nw9NIqeIJhmLRq+MNhMApzMy06NYoyDFhQmS+U2XXkAkw65V1WqwJe+/YMeANAs8uPHKseRi0QUTgn4XkOY7MN2HrPDKG8iuHA81zfhQGkG9VYs7Aca3fVwB/ihCT5DJOyc4glGcdMBoajuU9xhglP3lGJR7YfFeq4fkkFsswqrFtUgdU7jwufr1tUgUK7GvtPX0KOVY/iDBM4jsexi53whzi4/GG88I3p+ORcJ/xhDruOXMAPbhkHvVqF6nml4PhoG3jsnyYCPOALc9j0tSnY8tfTOHrBCQAoyjAgzAHvnWjG2kUVeOnvZ/DOp5ew/0w7vntLKbbeOwPNzgByrDpU5FrwWasb/3lbBXgwaPeEkGbUYGyWERx4fGduGR7dcVx0XgU2A5y+EP77rirwPINAmEO6SQNVVxJ0fasbxRkmUR8pzjDhkfkT8OsPT+OppVXwBcMYnW7E1Pw0fNbqRoc3iG0HGrBiVgkYBmAZoCzLjIZ2N6YX2dHuCSHdpEGnNyp4WQZ44rZJgqlBrF3ITcIb2jxodvqFax5fN47jceaSBw3tHpi0auRYdShMN/XaxwfyFjSO43FWph5qNYslVfkoyzajyeFHrk2P8jwb1GoWJVlmlGSZJfcZS6CMfV+YbsL46tlocfmRbUk8V4LQqRn8+pvToGJUQjuJ8BHo1COnnVj0Gsn+Z9EPnZztrb8SxNXKSOoXQ13XmAnBmTYP9BoV7EYNxudY0ez0w27U4vapBWAYwKxTIRzhkWXW4aEvjYVNr0aE47HnRDMyLTqoWWDtonKs2SnWxblWPdJMakndODbXJNQhplfSDBrwiN4UybMZML0wHWo1K6rv2TYP2jx+fO/msfj5e9E3dew6cgE/XliOH8fp8idumwSDhhXiql7D4qk7KiUfaA2HOfytvg0HG9rB8cCppk688I1r0eEJIseqQ6ZZizGZRmSZ9VCxwN/PtImuv5zeYVkG9a1uNDv9SDOq8dOllXB4gyjJtmC03QCjVo1f7YtqXb2GRYHdiLNtHuz45ByeWz4NHV06scnhkxwf5AxMW1x+lGSZBVOtnvONnsZiSuaGwWAERy860OT0I9eqk5zLZZjo5vNIh2UZ3DIhBy+vnIlGhx95cdr9csBxPArt8nPNGHk2vWSfyLXpRftSEi+1WhUKM3R4/u7p6PSFkG7SIsJF8FF9W9daQff8Uitjmu3zhXCsySnMRfOsakzMs+JHXx6PokwTOjwh6NQM/uf903D4Qr2ef6zP2o1RM63SLDOKM02YmGu9bL/DcGMkjdNE/+n5+y6aNEpy/SBGz7UCIGo+N73IhrtvKIEvEIZRp8Zv/1aPdKN8cn/8cdOMaqxbVI7VcTrmwS+OxYv/dxZ6DYv/vK0SBTaDcPz55bkYXz0bLn9QMhZlmNTY+NUpQl1+te80mhx+VI3u+3o4fCGMzTbjvjnXiMrn2wyonleKKaPTcE12tA8o7Rs9Y9SkXCsMBo2Sn0cgx6qXvMbZFn2cPguAAYN2TwA5VgPK86TjllJ9QhAEQQwPsrqSuXqOd5nmkfPyAYK4mtGpGfzmnmlg0H3fhEcEWlVqdVemWYtl0/KwZGohLrkCyLLo8OePzyl+2RRBEARxdULjB5EqqO0RxMjmXIcXz+6pFZ7d5LtepBp7qVWqyDRL39ug2EIQI4eJuWY885XJCIV5eAJhmPRqaFQMynNTF1sAIENOu9CaLkGMCMbmmnp91jJV0LyIIIhkkG9X4ak7KlHX6haeXb4my4x8u/RzmgRBDD8yzFrcMjETX585Rsh7+N2BMymff5B2IQgiGQzXmEcQhDLG5pok5x+DXXPpT+b/zwDsZxjmVQAMgKUAfjKooxPEFcq5dg9qm93Ysq9eWCRdNa+sK8my75swHd4gwhHgBzuOCOV/vLAcHd4gihUcP8uiwbe/UJpgIpVtUZ6IZTOq8NFZFx57vXuh9/HFFbi22KKovMWgwsGz3oSF4ukKy0d4IM+mw5auJHW7SQOO56HMRiuKVs1g5ZwScHzUAEk7zAxbWJZBYboBG5ZNxskmJ7QqFqFwBF/euB8rZxVh6z0z0OIKINuig4rlcKolgE8vuuALtWFSgQ1mHYuGNj9+8X4d7ppeiI17akXGUw5fCA/9pdtk6+k7K9HuCYl+kzULy4G/N8DhD+Hbc0rx8Gvdbe4nSybh324sQ7pZi3+c6UgwthqfY0RHmMfhzzsEo637byyFhmWFbYGoYcCze2qRn2bA6RY39Fo1Ht1xTFQHnRp48JUjeGT+BFFyXixZPBThRHXbsGwybh6XjfVLKvDojuPYvLdOaKNaDYNAGFi57ZCo7bZ5Avj68/+A3ajFyjklGJtjwYRcK8ZkmnC61S2ZcHKx04f/2FGTkDgolVi4al4ZynLMvRrexd6C1vNayr0FTUkCo1rNomq0XVHSZ29tsTfjLIJIN6nw9/rEmH5dibKYPhzIMquxbnEFVseNa+sWVyDTPDRGWJRwTBCJjKR+MRgjWymjBAB463gTvv+qWCucueTBpHwb7r6+CM/sroXdqMXd1xdh0946kTb60Z+PoaEtatD0vZvH4lDDJfxq+XQ0Of0waFTQqBnwPGDWaFE12tJtPmvRw2ZUwarTJZi+xI4Zr0GWVOVDrWZF23735jIYNSqRjs62avHMXVNQ0+hAhAOe2X0K35lbit/eM6PL5CK6yKhWsaLfl+N4/OV4o8j4tXpuGX7056NYUJmPH7x2BOuXVGDRpFF477MW2bbSU+/0bFuPfrkU1+Ta4A2qcO9vPuq+lgvKof34HO6YVgg1CzgDIcybkIdvxenEtYvK8exXp+A7f/hEdGw5A9NsS9QM6GybRzg+ENW8D75yGOOrZ4s01bl2Dzq9IdHccP2SCpxr96A404xgMIIdRy8K49MtEzNx/42lIsOQtYvKEVLqSEwMWziOxzsnmlMSE2N9xmpgkGXVYMvyaYJpcITn4AnywrbpJlbyoa8MEyval9LzsBm0OPy5U1ifKMow4P4bS3H3i/8QabIllaMSzLB8vhB2HW8S1eWpOyph1KmgUatEfXnNwnKMStMnHD/GmUseIR4un1mUMH+OxcOricGauBPDm976atVoJmFbOdOnCM/hrmuLRGsyjy+uQETG6L7ncZdNy8OssTmCrrDqVBifa8F//NMEZJi0+PPH5xDhOaEPxtYnmjodeHxxRcK6ZCAsXh9as7AchRkGRdckz6bHV68rSig/Kk2Hcx0+/HhXDR7+0gSMshoVxWupGLVuUQUWVuT2ywyrwGbAsh7XeN3iCoyy6LHns2bUNruRadbhfIcXrxw8jw5vUDZuxWJdT30y7juzcU02rfkQBEEMN6Jjh9gwct2ichi1V5cuJYiRSoZZhQOnE++bzEzxfZMcmwrTi7NEa2TrFlUgN40SGwiCIAh5aPwgUgW1PYIY2TQ7/Who82Hz3jrR57GXS6WKLIsKy6b3WHdfVIFsK8UWghgpXHT64PCFE571vOj0ocyQuhfJ5dvVktol3z50L2MlCCJ5pBn0uKUiC8WZ3S+HH5trQppB/nmjywHNiwiCSAYcDwQjXMKzyxzfd1mCIIYHeTY1bp4wSvSs9LpFFcizpXb+QdqFIIhkMCpNOuaNSnHMIwhCGWoAoQgvmn/8ZMmkfhlZSaH4SVqe57cCuB1AM4AmALfzPL9tkMcniCuSZmdASDIHoklHz+yuRbMzoKh8OMLjx11JorHyP95Vg3BE2YqDwxcRkkxj5dfuqoHDpzx5utUVEZLNYvt47PXjaHUp28cld0R48DdWfvXO47jkVlbeF+RwqtmNldsOYdXLh7Fy2yGcanbDG1BmhXW2zYMHXvoEG3fXYdOeOmzcXYcHXvoEZ9s8ispfLliGwYOvHMbG3XXwhTisfeME/CEOG/eewaqXD+PzDi8e2n4Efz/jwMpth/Bfb5/Ec/vqUd/qgYpVYc3OGiyozBeSeIHotX50x3G0uAKiz8AzCb/J2l01eGj+eKxbXIG1b4jbzH/sOAaGYXDJFUwwtnp0x3G0eiL4t99/jI276/D8B/W4a3ohNr9fB1cgLDIMyLPpcdf0Qtzzm4/Q6AwIJljxddCq1FhQmY8HXzmc8Bud6/AK5gmxMg++chjnHT4sqcrHKytnYuNXJmPlnBJsePcUnL6wZNsNR3j4QxwaHX5s3F2HH7x6BAwTNYHyBMJYNa8Mek10WIyZVYzJMomOGaublPHBM7trcfS8o9c2Fv8WtAfmlmLFrBI8u6cW5zq8ktvLGSwMtB1zHI/6Vjf2n76E+lY3OFrFJBTS7JSO6c3OkWPK0enjsHmvuP9t3lsLh68/FovyDHV/JYgrgZHULxrauo1sN+2pw3P76lHb7EZDH3WNbXavSAABAABJREFUmT3cuvEDfPVXf8etGz/A2zVNaGjzCCZYQLdWqG1xo80dFOYKt08tSJg3rN0V1Xexv3/+3imU5aThX7YdxNk2Lx74wyd44s0TqLnoxLsnmvHmsWasevkwvvOHw1i25QAWb96Ps20e0fWXOs6jO46jptEBQPxbhSM8nnjrpEhHH/7cgVUvR7X15r11CIZ5tLqC+MaL/0D1H6Na/aZxefj1h6dFv+/ZNk+Cjnv54Dk88qXxKLQbcN/sqBY6etHRr7bSs21NKcqCmolqY9G1fKMG35k3Fr/8ax3Od/oRCHEJ26zZWYM0gwZvVs/GH1dehzerZ2N+eS7GZJqwYdlkkT7csGyyYHTW7PSLNG9sfy0uv+gzp19aSzv9QQDA0YsO4cE9AFhQNVpIgo6vo8MX7rUtEsOfVMbE2LGNGi1ONkbn2d/tmmefbHSL9NAlVwSb3++hmd6vxaWutYD+nkcgxIvWJxZU5mPz+3XC/u+bHdVkRy86Esoea3ImaNC6Vjf8QU5yzcMTkNemDe0e2I1a/PutEyTnz7F4eDUx0LGPGBko7atyWia2XuD2S68Puv3S/a3ncZdMLcTDrx3Fxt112H7oPMJc1Lj8gZc+wT2/+QjTijPxTs3FhD74eUcYm3rM3zbtrQXHMwl9PxBStrbhC0qvlwIsNu+tQ0ObD99/9TA+bVSmS6Ri1Oqdx3GsyamoPjFONDtFWsAf4rD69eOoaXKittmNZ3bX4qHXjuK5ffVYPrMIdqNWNm7FYt39N5XigbnR/+xGLc61U78mCIIYjjh9EZE2jmrvun7dyyMIInU0OaTvmzSl+L5JY6d0vRo7KbYQBEEQ8tD4QaQKansEMbLJseqF++kx4l8ulSquhOfcCOJqp9Mbkbx/1umldReCIAZHmkGPGWMysLBqFGaMyUi5CRZAsYUgiOTQ1BmRfHa5iWILQYwYhuv6BmkXgiCSwXB9BocgCGWcbPLgP3p4h/zHjmM42TS4HIY+jbQYhrHyPO9kGCYdUQOsl+K+S+d5vn1QNSCIKxBvMAy7UYvbpxaAYaKfbT90Ht6gsuTlFldAsnyLS5mRVrwBUoxoUray8gDQ6g5K7uOSO6iofLNTug5KzcBcgTA2vHtKFPQ2vHsKzy2fpvD40onpzc7Uvm0qHo7j0e7pvs4MA1GdY4YFK2aVJCTqbnj3FLYsnwZ/iEsoF9ump8eRp4dBVWy7Dm8QwTAn+V2Tww8e0vv/5FyHqE4buwye2jxB6DWs8N3tUwuE+svV1RMMC9/1fCNYs9OPsdlm3DfnGvgCYRh1avxq32m0uPwozjCBB1DX6hbOt80TkjxGuyeU8FnsWOc7fdi6vwErZpWAYQCeB7bub8AP08ZLbi/Xvji+9zeaNTv9CIa7fxiGAYJhXrZMbwYL/W3HseTWWDJnzMxhfnkuWJbp176Iq4/BxvThwCV3QPIthJfcQ3MOQ9lfCeJKYST1i4sOn6SRbWWBDWN6qeuZS9ImEy98Y7qsVmiMuy5y2ohhxH/r1CxWzCrBmEwjnls+De2eIH4Q9/bS6rll2HagAY0Ov3CNeR59HqfJ4UfVaPFv5ZfQhRwvrVN7mk49tbRK9PvG9ptn0+P2qQXQqVmUZZvxX2+fQEObT6h7u1d67hHbF8fxONvmQbPTjxyrHm0e8bjkDobR5JBub02O6FtoXYEwOn289HjmCuDaMRkJ7XJ+eS7GV89Gi8uPLLMeKhb4+5k25Fj1yLPpRZoXkH6ot9EhPYY2OYKoLACaevQTn4xmb/com4cRw5dUxsTYsd2BsGSs2xI3z251ByU1U2vXWkB/z6NnG7foVbhreqEwR4zFgQ5vYhuXWtvgePm5bW/a1KbX4F+/UAIWwH2zSwBE11licTMWD68mBjr2ESMDub7aEDeeFmeYZLXMuO/MxjXZZlySWx+UGZd6HvdSXD+OXx+K7WfNzho8t3xaQh+8JBOLnH7x2mpsrU8JTTLz2va4+GM3anG2zasozg3VPLlRRsO0uBJftBBbe9u8t04ybsVi3SVPEBwPqBjgX79QAqte0686EQRBEJeHVpf0emXrEK1XEgSRXIbrfZPhWi+CIAhieEPjB5EqqO0RxMimOCP6cqmezyPGXi6VKii2EMTIp1kmD6K5H3kQyYDiC0EQyYBiC0EQyUD2mS+FOaEEQaSe4aoRhmu9CIIY2VBsIYiRjZwnTesgcyH7NMJC1PhqAYBDAOJtVZiuv0sGVQOCuALJsuhw9/VFQrKSXsNi1bwyZJl1isoXpBkky+enGRQfXyopW+nxAcCqV0vuw6JXEjaAbJk6ZFuU1cEfikgGvUCPz+QwaqXrb9SoFJVPNjFTos+anKJ6xv87ZlggZ1wQaxs9y8X+7ultZJL5TVkwKLAbJL/Ltenh8IUkv4v0+Cn8IQ4qFsix6EQPOKhYJJTt+bdNr4EhR43qeaUwaNTgOF4wZxqVpsdXryvCw3FmD2sWliPXqsfbNU148u0TWFCZDxULrF4wEWkm6fO0GqJtN2bEoGIhHCvPqkeHNyhKONFrWKQZNaK/Y8YGsbeZSV3zLLP8m0HybHrJhMRcq3QZueP09da0cJhDTaMDjQ4/8mwGlOdZca7DK5ncOr569oAT73uaUhRnmMhU6wolxyod03MUxvThgFGrkh4XtEMzLgy0vxLElcxI6hcuv7SRrSfQu3t8Q7tHUqd5AhFZrZDTQydLbcfHzbz1GhYTci04dtGBs21ejM+xYO2uGllThPhr3Ndxcm3S2qbntipGWqf2PG+e50VaLseqR1GGQdL0JmbctXFPLbbdO0O2rUiZeT55RyWKMgxoaPN1HTsiO38xdM0Lsi06gJe5DjJaDABYBtCwLD75vBOPdrmTxx7g3fS1KXjgpU96fajXoJEef3RdOj6vx7W3GTXSc7kRNOYS0qQyJsaO7Q1Kz7O9we5YZ9ZJ9yVz11pAf86D43jYDOI2nZ9mxENdc7vY8WNxoCdS6woqRn5um2OV7yd6DQtPMIIn3ko0EezwBpFnG35jU7Jx+aUNxdx+enPKlYBcX/3k805s3F0njFt6NSvZDs61e3BNthlmmf5m1kmvD/Y8bvwapZx+6PSGUJxhFH1ukVuX7HHceD3TF7ky89p0o1b4+87pBTjd6lYU54Zqnpxnk16TM+vVkteLYeTPOxbrtuyrF60px9YPCYIgiOFFni06Z15QmS+sRew6cqHXOSpBEMOH4XrfZLjWiyAIghje0PhBpApqewQxsmFZRvRyqWzL8Hh+MFsmtih9dpkgiNSTYdJK9uMMk7aXUsmHtAtBEMmAYgtBEMlA9pkvhTmhBEGknuGqEYZrvQiCGNlQbCGIkU1/c06U0mcGBM/zCxiGYQB8gef5krj/xvA8TyZYBCGBNxgRTKyAaJLSM7tr4Q0pSyY0atWS5U1aZR0+GA7jezePFZkkfe/msQhGworPwWZUixKlYolTNoOyOlj0KqxdVC4qv3ZROSw6ZYYjYzJMCUlaeg2L4gxlZmBOfxDVc8X1r55bBlcgpKh8sjnb5sGDrxzGKwfPC/Xcfug8HvrSOKHOMcMBAJLXwqxTYd2icuw6ciHhXB/84liUZptFn7HgE36TNQvKsWXfaTh8IaxbXCH6bt3iCkzIsSLDpE1oC48tmIg3jl5IqNPk0WnIs+ugVTNYOacED8wtxdgci1B2+6HzCXVdu6gcQY7Dw68dwcbddbhry368XdMEjos6QHR4QglmD2t31eCSO4gn3z6Bu6YX4oUP67Fxdx2+98phRDhItl2dmkVRhgHLZxYJ28eOVZ5rxVNLK1E9rxQPzC3FqnmleGppJX5/4Iywj3hjg+IME566ozLhGJkmLVS9jKw8DyEhcdOeOjy3rx6eYERkdhFPgc0g+bsU2OT7QTjMYceRC7hrywF8+3cf464t+7HjyAU0OfySCZQtLr98hXshZkpx68YP8NVf/R23bvxA9LsRVxY2QzTeiNrionLYjMPDXFAJaUaNzLim6aOkMmJvOYzf/3B4yyFBpJKR1C9Gp0eNaF/4MDpGP/9BPe6+vghWg7rXsc3UZbIUj14TNY+N13WxmFOabUZDmxuPLZgo6L+esWnNwnJBZ8W0UqPDhy376rH90HkAwH2zozorZtwSb4oQu8bx11/qOOuXVKA8zwYACdv2rHuGSYvHF1egKMOA+28qxfhci+R5Mwwj6Kuzl9xo8wTw44UVgglWrK4b99Ti9qkFwt+eYBjrl1Qk1K/QbhR0c3z5R7YfxeOLJwnb200auPwhrFmYqHW3/q0e6xZVYGK2BZNG2SS1VeUoW8Jvy3E89nzWjLeON+Gvta2CCVasDg++chhjMsx4s3o2/rjyOrxZPRvzy3MTHuo166TnVZauuV3POrU4/dJatjeRSYwIUhkTY8eO3SCIp+dD31aDdJu1di1A9uc8zrZ58LN3TmLNgu6+2dDmgd2oxf03RedeD8wthd2ohSeYuF7B83zC/LE4wwh/KJzQ39ctrsD4XPlr6Q4krtNs3FOLO6cXYNW8MrS4A1fdXGZUmkGyPeTZ6IbRlYBUX101rwyvHoxqidhYpteyku3A2DVOWXQqyZhgljEU7nlcpz+AdYvEY2/PY+VYdYImiWHUsonj+sJyGOPq21PPANHxu77Vjf2nL6G+1S3q1xNzzQl1WbOwHJfcPuTZogZepdlm0VpdbLsnbpuUEOdG2XWS8+RR6f3rQ+OyEuu1blEFsiwayevFMkg47xhSse6Z3bVw92HuShAEQaSGTLMG/3ZjqWgt4t9uLEWWeWjWKwmCSC7D9b7JcK0XQRAEMbyh8YNIFdT2CGLkw7IMSrLMmFmSiZIsc8pNsADArJV+dtmk8NllgiBSj0WnlrxXONjEqcFC2oUgiGRAsYUgiGRg1ff+HChBEMMfq15aI1gNdD+aIIgrj+Ea8wiCUIZJK51zYpLJOVGKotkLz/M8wzB/ATBpUEcjiKsEhy8kaTjj8CkzYfq80ytZ/nynF2W5lj7LG7UaGDQsVs4pAccDLAMYNCyMWuUPz3McUGA3iPZRYDdAaV6oJxiGQcNgy/Jp6PCGYDdq0OkNwBNSZsalVTFYu6gca3ZGDZBiN6O1ChPAtSoVXj54DitmlYBhogZELx88h2lFVcpOIMk0O6OmRI0OP7YdaMCKWSXQqVlUFdjwP1+fCn+Ig82oRlGGCc/sPoXquWWCgUDM6Mqi12Dz+8ewoDIfLAs8tbQK59o8mFZkh9WgxiVXAE8vrYI/HEG2RQcePDIsOjy9tCr6+2jVeH7faZxqcSPdqMUTb54QXa/Ne2sxvcgOo1YNk1aFp5dW4VSLCxEOePkf53DX9EJRnX5y2yQ0dbhg1qrxwEufCG04z6bHqnlleGZ3LRodfrx88Bz+55+nwRsII82ogU7N4p9f+EeCscD46tkoyTLjosMn2R+anH4sqMxPMFb4x5l2vHrwvOhctu5vQGmWGRu/MgV3bTmQcKw3vzMLgRCHLfvqhfN5fHEFfnRrOe6dlfi2MpZlkJemxwM3lSLLrINRp8b5Di/+56/1GJtrQXGmWfJ3b3EFJBMSpxbaMSYrscyJZic2761N+F3G5ZhRNdoueYyaRgce3XFcdIxHdxzH71dcB71G6k1nA3u7vJQpRfzvRlxZNLT5cOJiJ35zzwy0uvzIsujxv8cuwG7UYlxuqmunjHCYh0mrEo1rJq0KkcjQGB4M17ccEkQqGUn9QqdSSY7Rq+aVIduilx3bcqw6QefENMSqeWXIterhCYbx8JfGIcuih0mrglmvRpPDi0df/xR2oxYr55SgMN2ICbkW3DIxF61uP7LMeqhVQGH6JDQ6/DBp1TDrVPiXbYdgN2qxfGYRfvDaEeFY1XPLsO1AAzq8QYzLsWDlnBJo1d16ZX55LsZ9ZzbOtXuQZtBgxn3XodUVQJ5Nj/I8G9RqVrTt+OrZaPcEEAhzQrzkeeB//lqP+28swco51+DxN6L173neaxaU4/l9pwVNsHJOCTbursPTd1ZKajmmqxnoNSwMGjWe3VMj0jzP7olqpJhu7lleo2LwZlfbCod5rN75KcZmm/HU0ioEQhHkWHXwhSK4riQLm9/v0k+FdiypHIWSTBOanX7kWPWoHGWDVmJh5WybB0fPO7BlXz3um10iWYdWt194oFeOXBuL/DS9aPzJT9MjNy167dVqFgV2HbYsn4Z2Tyg679n1aYKWHa9gHkgMb1IZE2PHPnK+HesWlWN13Dx73aJyMEy3HvKHI7Do1aI2a9Gr4Y9E+n0ezU4/DjY4EAw34KmlVfAFwyjJMkHFMglx06ZPXK/IsugT5vWeQFio13PLp6HTG0KWRQeXP4DPmjy4doz0/MYTDEv247JsC5548wQ6vEG8eZXNZSbmWrF+SYUwf4yZCk2UMNchRh49+yoDBt99+TAaHd1m2P4QB51aJallcqxRMydXIASzThwTzDo1PEHpNc6ex41wPJ548xhWzCqB3aBJaHPrFlWgKk6TxOB44Jd/rRP1/1/+tQ4/XVqFLcunCTrJYlAJ8Sdm2B1bq4gZ9cWMKk80ewBwkutiP11ahdoWF3KtenR4g8JaHcNEz3lsTmLyziirCaU5fvz2nhlCPNSoeYyy9s/g8LNWFza/32Pt5/1aPPvVKQnX6/HFFZiQa8H4XGvCNQPkY51XwmyQIAiCSD3nO/3CPTAgGrPX7KzBC9+YjqJMmgMSxHDnXJt/WN43Ga71IgiCIIY3NH4QqYLaHkEQyeDzDh/ePtYo3EtMM2rwmw/PwGbQoCI/LdXVIwhCARGeh4rhhft6Jq0a3mAInNxbhy8TpF0IgkgGFFsIgkgKPCSfXcbwe4SfIAgZzrX7cOD0Jfz6m9eizR1AhlmH1z46hzSjFuPzUlgv0i4EQSSBzzv8kjHPnuKYRxCEMlz+EIwace6+UaOCy6/MV0eO/tj4fswwzLU8z380qCMSxFWAzaCRNJxJMygzojLr1JLllb7JxBOM4Im3TiaUf/7u6QrPIHoz+Ff76nHfnGvg60oO+9W+0/jWF66RNeCJ55IrhP986xRun1ogJHH96ePzWLNwoqLjn+/04xfvixPefvF+HfKXTEJxVt8JADlWHb5ybaFsIl+qybHqhd+40eHH5r110GtY5FjL8cj2YwCiBlLrl5Rj8eRuo6uzlzwIcxyuyTKh0xdEQ5sPm/fWifZdPa8U88Zn41u/+zihDfz+vhlw+EN4/I1PRQYKDn9Icl8tLr9gfvDdeWXYuLv7+1Z3ECtmlWB8rhnZFj2OnLsERwCwGgO4b3YJth86j0aHH40OP7bub8Bv75kBhy8ENcsgFObg9ofBA+A5XjJJr8XlR0mWGZlmnYyBkw6nml0JZXVqFh3eoOhc9BoWxRkmXPIEJI910eHHY6+LzaMee/04frfiOswsyZT8DTNMOmzaW9cvY6n+JiQ2OvySv0uTw4+q0dLHaHT4YTdqhb4HANsPnYfTH8SGZZMTEkKLM/qXoBlDzpQi9rsRVxYGrRp/OHgBL+7/XPhMr2Exd+LImUlecPjxP3+tF/pGhIvGth/dOgFTh+gYsbccUh8giG5GSr9odUtrBE8w0uvYVphuQlmOWTRRL8sxoyjDhKIME862eQRjhA5PEA9vPy7ov427o/rvt/fMQHl+Gq7J7j7GxU4/fvDqUQDAk7dPgt2oxb/fOgE/e+ekoI+BqNHrndMLoFer8MSbJ9Do8EOvYQUzF5ZlcE22WbRvOWK/FQDsOHxBpPsAwGbU4aEuE66Yvls5pwQTcq0IcTye33caRy84hWsXM9BtdvoltRzPQ9Cizl60aLxuji8f01w8Dzj9UY119IIT1X/4RNjugbmlwj7PdfgAhkF5nhXTi9P7vB7NTj84HsJxB2oomm22onwUkGs1oNnlR45FjwyzCtlma7Re7R4c+dwpzFtWzSuV1LJGLb2F6Uog1TGxxRnEW7GHvj0hpJmiD32nGYqEbdrdIWzee1qkmTbvPY3VcXN5pecR67/xffOl+2ZIGg9Ou3dGQvniDBMemT9BNId58o5K/NdbJ3H71AI0uYLgeeC/3jqJO6YVYHyO/FMaRekmyX7c0OYRjIGutrmMWs1iSVU+yrLNaHL4kdvDJJEY+cT31fpWNzq8QdH3eg2LDJNWUssUpkfXCjQqNZ7/sB4LKvOFmPD8h/V46g55o/n44/5vTSOC4ago6PCFoGKBny+bjDDHI88mb0h5yS295tXmDqKm0YlNe+qEc4jpnr4Mu5ucfpzr8GPTnuMJx/MGw3j14HlMGZ0mmNHH1uqq55bBH4pInufkggycbfOAB48si25ABodyaz+Nnf5+91G5WBf7PQmCIIjhhScQkV6LCCSOOwRBDD/0WtWwvG8yXOtFEARBDG9o/CBSBbU9giCSgd2kxf4z7dh76pLwmV7D4ts3lqawVgRB9Idz7T78/L26hByE/7h1gqIchmRB2oUgiGRAsYUgiGTweacPf/74Ar45a4zoWdGl00enVE8RBKEcg1aNN2ua8afDjcJneg2L26bJJJReJki7EASRDPRq1bCMeQRBKEPNsvj1386Ick5+/bcz+MmSSYPbbz+2vQ7A1xmGaQDgQdQDmOd5vnJQNSCIYQrH8Tjb5kGzM5p83Z9EpmyLDo/+0wSs/8sJIVnz0X+agCyLMhMmo1aFZ74yGaEwD08gDJNeDY2KgUEiMUwKr5zZTj8ens+x6ODwh/BZk0tItHf4Q8hWeA5ZFi206u7rxTCAVs0gw6RVVN7lD2Pa6DT8v9IMXHIFkGXRobHDA1dA2jCoJ4XpJkwcZYm+DabrGlr0qmGT+FWcYRJMiexGLe6cXoDiDBPy7QY8+9VKZJgNaHUFYNCo8P7JFsFUIMYPvzweUwrTRMlteTa9sB9vKIL/vK0cOTYjWl0BZFu0qGv2oNERgFnL4ncrrkOjw4dsix4H6pph1Wvw9NIKjLKb0OoKwG7U4HcHziDbogfPR387Yw+DtkaHHy98WI/f3jMDnd4gMq0mbPjzMaHNP764Ar5QGC2uIA6cboVew8IVzS/G2UtuOAMRqBjg2mJ7r8YCKhZYs7Aca3fVCPtes7Acaha4bkx6QlkNy2DVvLIEEzS1ipE1UnAHpPtMs9Pf62+46WtTcPS8AxwPqBhgUoGtV2OponQTijIMWFCZD52axZhMExo7vUg36cBxfEKMybMZhO1j/XDXkQvItYlNF+LjVZ5Nj/tmj8FP//cz4fwf/OJYZFv0mJBnw/jq2YIhx0ASNGPErmW86ZaKAXKtfRtCECMPg4bBD+ePx3+9fVJoVz+cPx4GzdAmyQ9m7O2LPJtOclzKGyYGiQRBSJPMuBCPnEZgu8a2+la3ZB1YlsHccTkoyTQnjK8cx4PnAW8wgkvuAFgGeOiWcci26tHhCaAsx4JObwhggGAwIjKByLPpUT2vFBwPpJu02PTVSQDUeOCmMmzaW4sFlflQscCjt04EDx6nWz24Y1oBAGDfZy1odQXQ7PTDqFUjGIkgw9RtzBAOc6hpdKDR4UeezYDyvKgh06eNDlx0+GHSqqBTswnXg+c5kQnX9kPnsXF3HX75z1PxcJdBVvy1G5tjwQNzS6FiGTx66wSsf7N7bvTEbZNg0qmiOtLnB8/z+NGXxyEY4eEPczDrVMK143lg09em4IGXPoE/xKEow4C1iypw+pIbejWLFlcARelGWbOt2L8b2jx46LUj+OnSSpTnWdHqDsIbDCPdpEMwEoFWpRKuVYHNAI2KxfgcC1bNK8Xeky2CKUa8oWiBzYAjn3eIrmVPcwq1mkW+1Yx2jwMAA4YB8q1mYbtmZ0BkCvTKwfMJWjaq5Wi8uhLgOB71rW6cafNAr1HBbtRgfE5iu0nGcT+oa4HNoMGiyXlw+cLwhyJw+RksmpwHi6E7/mRbpDVTlrn/bbA4w4QnbpuEZ3afEuJWzLguHn+IQ7snmFCeZRncPC4bv1txHZqcfuRa9VCzQH6aDpUFNmhYBp5gBCvnjEEozPVqfD0m04Sf3VmF7796ROhb65dUQMMyeOhLY/HKwc8VmdtdaajVLKpG22WNlokrh/h1qPixrDDdhMJ0k0jLFNgMOHahMzq+WfW4/8ZrcL4zahCpZoFvzylBllmboNMKbAacaHaKxkWbXo27ry9KWKOZPNqGCMfjotOHwvRu7RTbX5pR+iUDJp0KY3MsePCLYzEm04QLnV40OX0osEXX0R66ZRxKc8xodQWgU6vwq32nBZO7PKse59u9wjpLulGDytE2+IMcvKEwfn5XJdKNGpy55MHTS6tgNajBADhzyYNMmRgYDkfj1yV3EBqWxSiLHhdd/n5p1zybQfJcc216UR9VooulYt3P7qzCmMzhsR5KEARBiMkwaTG9yIa7byiBLxCGUafGb/9Wr/g+GkEQqcWgYfDgF8diw7unRGs4Q33fZCD1euhL40T3CR/60riU14sgiP5xue6NEESMy/U8AEH0hNoeQRDJIYKf3DYJ/xH3LOtPbpsEMFzfRQmCGBZkW2WeW0jxszOkXQiCSAYUWwiCSAY5Vh2+PnM0tCo2qqVULL4+czRsRnoWmSBGCjqZ+746dWrvF5F2IQgiGei00rEl1TGPIAhlaDQMvnJtYULOiGaQfbg/RlhfGtSRCGIEwXE83q5pSkgOm1+eq+jhshyTDla9BivnlIDjAZYBrHoNckzKFgzSTMCnF8NYvfO4cPx1iypQnq+s/mkG6WQxm1F5lzfrVXjgpjI89np3HR5fXAGzXpkZV5pBhX+7sRRrdnabF61dVA67UVn5smwDXP4s3Pubj0TXoDTLoPgcPAEOP3jtiOg3HC6wLIP55bmYUD0bh8514tEd0Zvu04tsWDa9UHTeaxaWA39vEMyw9BoWRelGjErTYd2iCqzeeRx2o1aUWFiUYcADN5Xh3t98lPBdbADZur8BHd4g1i0qxzvHL6AsNy3hemeZ1fi8048HbirD0++cTDAAWLOwHA9vP4IFlfl44cN6oc35Qxwee/04NiybjJ2HL2DZtUW4a8sB0fG3HzqPDm8QJt1Y/HRpJR567aiorRXajQAAtz8MFfioqVkwDJNWDW8gBH8oAm+QSzAKyEsz4Ik3TwpGDTwPbN3fgAl5Fswpy05I/KyeW4azlzzSSYe9mDpxHI9Obwhb9tWLEqmlDK1ijE4z4P6byrA6rl9Vzy1D9R8/xiPzJyTEmHFZZtx/Y1lCLBiXZRHVIz5ePTJ/nMhMwR/isOHdU5g5ZiZYlkFJlhklWeYBttxuCu1G/HRpJc53+ETXf2yOVUhiJa4c7AY10k3icS3dpIHdoCymK2GwY29fpBtVuP/GUqyOG5fWLSpHumloz4EeSieIoSPZcSGeQrsR65dU4NEdx0U6pyhDj08bXb3WQWp8lap7NBFOhYfi9On3bh6L/3r7BO6/qQxLKkdBq1WB43h82ugSaYx1i8rR5gnijx+dw13TC0V67InbJkHVdTnMWhXumTUG33jxHyKt8fLBc3hk/gTcPC4bO49dFJ3nusUVKErX4+Htx9DQ5us63kSREen0IhvCHAS9F79fk06VYFq6dlE5mjq90UrxUZPclXNKoGZZlGWb8V9vn4g7VjlOXGxDts2ITXvrJLXrhmWT8faq2Wh1B9DQ5sOanceF62A3avGvXyiRNELdur9B+DcA2I1adHiC+N9Pm0Xbxs7lrumF2HOyCcuuLRLptVXzyvDWsUasnFOCwvSo0WyaUYXXj14UzZfWL6nAkqp8kalROMzhjZpG0TWP366niXGjw4+t+xvw9NIqnGx2CWZsGs2QNnkiBXAcj7eON+H7rx4Wta0zlzz4cnleUs2wPu/w4GJnAJPyLfC3Af/+5yOiWJdu6m5gahUkNZNmgJIpzajGyjnX4PE3PoU/xGHVvFLJuZdFn7heEQ5z+L8zrVAxLMIRHt5gGKPtWtx9/RjUt7pF/fgnt01CWa680Us4zCHC87KxaP2S7jkoQVyJxNah5MyxY1omHOaw48gFYdyKrS/F65LHF1dAr40kaJ11iyuweW+tqF+VZZsS1iie2V2LbffOQP0lD4IRDhcdXswoysQ7J5qF/U0vsmHtonLRuuKaheWw6TV47PXjwjGq55ZhwzufYdm1Rdi8txZ3TS/Et7YdEpWJre2U5RhxyR3At79QirW7aiQ1x/olFfjt/rOi/b988BwyzPqEtY5gMJKgBR5fXIFNcddAiXadkGPBusUVIu2xbnEFJuRYhW2U6uL4WBebu0d4HuEwJzJdJQiCIIYHapbHndMLBXPp2HxazfKprhpBEApIM6iRa9WJtFeuVQfbEN43GQh2oxpZZq2oXllmreJ79ARBpJ7LeW+EIGJkmKSfB8gYwnvpBCEFtT2CIJJBulGLZkdQFFs0LJBupJvuBDFSyLNqJJ+dzrP1J/Vp6CHtQhBEMqDYQhBEMkg3qnCmNYwH/nBE9BzomEx6RpIgRgo2vfR9X5uB5kUEQVx5ZMnElixzamMeQRDKGGXToSnNIOrD+WkG5KcNzohXcZYdz/MNADIALAawCEBG12cEccVx5pJHeKgMiCZpPfjKYZy55FFU/niTEw9vP4qNu+uwaU8dNu6uw8Pbj+J4k1NR+YsdEeHmTez4q3cex8WOiKLyGlXU4Vff5aQbc/zVqJQn1jp9ESGRK1aHx14/DpdPWR1a3WH84v06rJhVggfmluK+2SX4xft1aHWHFZVv90pfgw6vsuOfbZP+Dc+2KfsNLwfhMIdL7oBgggUAd99QIiQcA9F6r91Vg5VzrgEAIQnvz5+cQ2NnAAwDbFk+DU/cXiFKLLxz2mhs2luLFbNK8KNbJ4i+sxu18IUi+O68Mtw3uwSb36/DzeX5QnJh7Lirdx7HwXNOvH28WUgy3HagAStmlaB6XimeWz4N2w+dw4LKfBTaDaJE5tg+TjY5o+fUoy09s7sWt08tEEyarHqN0FZWzCrBpr21ONfhBcfxMGjVOO/w42SzC//9Xi0e+MMnWL3rU6hVKnznD59g6/4GoezKOSXIs+nR4Q1i895o/9u8tw4d3iCMGrWQ+Pnyypmonhc91rYDDfjt/gasmlcm6jNrFpbDqJXvMzWNDiExNHZej+44jppGh2yZE83OhGuxcU8tFlTmS7bPz1pdkv3gs1aXsE3Ptp5l0Un+Fo1Ov2y9BsK5Dq/IBCt2nO+/Orz6GTE0tHki+Nm7pxDpalocD/zs3VNo8yiLyUpIdty+5I4kxNfVO2twyT005xB7KP3WjR/gq7/6O27d+AHermkCx1HiGkEMlKGICxzHo77Vjf2nL6G+1S3bJ891ePHsnlqRHvnlX+tg0mj6rIPUMaTqvuHdU2h1B0Sf/fy9U7hz2misfv04PjnfiUNn23G61Z1QdvXOGqQbtVhQmS+YYMW+e2b3KYxKi96Y9IUicPlCsBu1wvfxWuPoxUT9svr143D6Inh88SQ8tbQSP11ahWCYwy//GtXyj/3TBNx/Uxl+9OdjCRrm3788AcEwhz/8vQEr55TgqTsm4bf3zEAgFMGG92qxaU8d/nt3LeovefHqwfMIhDl875XDaGjzic7tS5PyBU1x+9SCBH3x4CuHwfEAAwaP7jgmug63Ty3AE2+dFDThk3dMwgM3lQIA7phWgBWzSrB1fwM8wQhun1oATzCSsP/YNdq4p1ZWu3735rEAgFZXAE++/Rna3eGE+dKjO46j5qJYC/alGdNNOkGDxtCqGcTUXHTM/QyNHQGZVk6MFM62eQQTLKC7bdW2uHudQwwFzY4A1u6qgcsfEfp2bJ7+y7/Wod3TPU93+qU1k8vff810ts2Dw587BBMsAHjl4PmEudeqeWUwqBNvgJ6+5ESrM4iV2w7huy8fxspth/DJ525c6Eych/zHn4/hVJP8+HD0ogMPvxZdp5GKRY/uOI5zHd5+n+NgUDpGEcRQETPvnFmSiZIss5A8G98WD5/vFI1bCyrzJdcHz3dEEvXK68exoDJf+PvRHcfR5OzWPjH8IQ4f1F3CI9uP4V+2HsTn7X582uQQ7e+6kizRumJMm7kCYVHfjR+7F1Tm4/DnbXhu+TT8912TsWX5NOw92Yg2dxAAcLLJg5pGp2DeKaU5Ht0hPoeYRpBa6zjW6JC8NndOGy38rUS7nnf4sHmvWIdu3luL8w6fsI1SXRwf64Q16deO4ujF5I4zA4XiIEEQVzuBCBLuy6zZWYPA0C25EgSRRNpl7pt0DOF9k4HQ5pa5nzNE90IIgkg+I+FZF+LKo9UlPX60umj8IJILtT2CIJJBxzCdrxEEoZwWZ0jy2ekWp7IchGRB2oUgiGRAsYUgiGTQ5o5gc4+czs3v19H9IoIYQTh8ETy8/ViP/PRjcCjM7U4WpF0IgkgGFFsIYmTT2BnEz979TOjDEa4rF7IzOKj9KrbCYxhmNYA7Afyp66MXGYZ5lef59YOqAUEMQxraPJJJWufaPbgm29xnebkkr2ansuTl5kGWd/hDSDeKHX/TjVo4/CFF5QGgwxeUrEOHT1nQcfnDuGt6oZCgHjNwcgWU3YRqcUlfgxaX0mvolynvR0lW379hsgkGI9hx9CLOd3jhD3HIs+lx+9QCcBwvWe8Ix+OBuaXgefx/9s48vorq7v+fmbvvubnZE5IQkrDcLCwBsQ9gDWppn7DIpvUpKOLD4/MToVqXp1ahIGpFxIrSWnfBqqBUQGspClhqlWpQWSKQhEBiIPty933m98fNndzJnZtMSEISPO/Xy5dk7pw5Z86c8z3fc+Z8P4OvzrXgBnMylr76Je8r4bkJWhy/EBRbG2FUcfV/x/Qs7prJBiWWTM2IeC4Wl08w329q2sCw4H6rs7ix9VAlAGDTogIUj0ni8lDKaN41lDIaAQZwefyC16aozn9b3X7uuiFaHR6crrfxvnS6qjgH249Uo87i5tpIeJkAoHCEAauKcyLusc0VbP80TcHpDWDLAX5+276oxh9umYgmuwcquRQvHz4LkyYHY1OEn2GdRbiN1VvcKBzRuzQUJdw+xeTRta0n6BSCz0Kv7N8vmjVY3XB4A0O6nxH6jzaXT9Cmh/pVfxDNbjdY+6c9NUQZVxpEjis9EW1T+phV00l/IBAukb76c735anqD1Y3qFleEP1LXQxmi5WFUywTTdY3td/sYxGuDIpb1Vjce3HUcTy4oEEyrVkghocH7LdmgxE1F6bjvvc4v9qyemYOlV2fgyX1nuLQhX6M+yv04fQHc/c43PN/SoJRh66FK/OGWCfjm+3bBdN4Ag3UfnEadxY3jF6xYWZyNBL0Sj//tdITYz/JpWVw5ul6nydZZrmjnNNrcaLZ7efcTfn7IJ1xZnI2X/1kV4QuxLKBTSpCgU3brj7l9wv5Nk92DLQeC1wcAZ5TzLlhcKISRO9aTP+cNBHi+a4ZJhf+9JhsPhD3Te67LhbUXcznC0CSaTWNYdDuH6A+aHUE/SMw83eUVnr85vb1/idBgdfPmk0CwT2z7ohqbFhbidIMNNAWoZRI0OSLXGizOSFGuh94/gXWzzb1eMwm3f93Zmcvlt/VmjCIQBpKubfHJBfm8/hG9vwjPrxRSmve3SiaJul4UOmft3jJsuXl8RL5Cvlm7kz8eun0MZ7cyTEqkxybjf7Yf5fk0Hn/QxjVYPTybFO3eKCrybyEb0Rhl/TZeq+D93ZNtieaHhqcT6xdH8/Ua+lkcvT8gdpBAIBCivwsU+x6MQCAMLpfjvcmVVC4CgSCeob7XhXBlQsYPwmBB2h6BQBgIiG0hEIY/zQ7hGIZmgX0FlxNiXwgEwkBAbAuBQBgIiG0hEIY/UfeUiIwvHyiIfSEQCAMBsS0EwvCmye4VjIdotvdtPZfu+RSO/wIwmWXZtSzLrgUwFcCSPuVOIAxRlHIaGSYV7ro2GyuLg/9lmFSQS8V1mSR9UIiGd00ZjUS9IkoKPol9TK+RS/H7A+U85bzfHyiHRi5a+w4xKplgGcSK6cSoZdhRWsNTD99RWoMYlbj08TrhOggPJuuORL1SMH2CTikq/UBz/KIFa/acBMMCGSYVlkzNwCufVUFCU4LlNmqC9faXr2tx46QRWPdh5FfCV8wYxaWJ0cg5py90DQCYPzENWw5WwKiW465rg8/F4w/ApJEL5htqQ+G/JRuUWDUzG2q5FB5/AEa1HLuO1mJVcQ53XsjR/PD4BagVUsFrs2znv2VdAtyUMhoyCR0hKrPlYAXmT0yDUkYjTitcZoVEwmt7y6cF255R3dn2hNpHm9MLuzeA79tcKG+wBQXlNPKIZ9dZDyrB/JMM0dtYtDQsK9w+xeTR9V7aHF7BZ+H196/6baJeCQmFId3PCP2HMYpND+9XfUUtF7YVarmkX66fqFcIju1ix9ae6G5TOoFAuDT66s/15qvp0fLqOhaH/CCnN4CqJjtqWoXziGbTusb0K2U05yvFdIhnVTXZBdPWtjkxNknP+y3k23UVnUozqnlpQ75GcpT7PNtkj/AtV1+Xgy0/n4AAyyInQSeYTkbTqLO4effniiKUGRKViPZMw49HOye8/NHO33W0Fqtn8n2h1TNz8Jeva5EWo4ZcSgs+0xExKqyemY00o3AdqTqeaciHjTbni9Pwx5We/DmTRsEbYzfMy8dvP+D7+s98Ug6don9FTQmXn2h2hqbQ7RyiP0iNUSPDpAraGX8Ad0zPQrJByc2xwufpMWrheVbMJfh90eYMbU4vQlYiwACvfn5O0K+MJrSjUQrb2ERddL+uq/0b7HlMb8YoAmEg6doWhXwYoXlUQpR1u8w4De9vlVwSMS6vKg6OyyGCLywlUXwxJZf36pnZUMuF5ozBMqcZNVi7N3K9TCoJzikT9YoIm9TdelX430I2Qh/FFsXrFF3qqnvbIsbnFesXR/P1EvVDb52G2EECgUAAEqLMK8W+ByMQCIPL5XhvciWVi0AgiGeo73UhXJmQ8YMwWJC2RyAQBgJiWwiE4U+MWjiGwSAyBmGgIPaFQCAMBMS2EAiEgcColkXsLw/GEhLbQiAMF6LFwCV0s1f6ckB8FwKBMBAQ20IgDG+ixVXolOJ1bYToTeqLAJQAQtH8CgAX+pQ7gTBE0cikuPOabKzrCEBWymisnW2GVqSQVF6SHuvn5GHN3pNc+vVz8pCXpBeVPt0ox/o5ZqzZWxaW3ox0Y3RRnnDanV4YlDKMTtLB5fFDrZDin+UyWJzilfMcXj/uu2E0Nu0/w5XhvhtGw+Xzi0pvcwsrcNo84hQ4/YEA1paYOcEnpYzG2hIz/Iw4MZ9MkwabF4/nAqqUMhqbF49HpknTc+LLQH2HYMquo7VYUzIO93SU86XDZyPve7YZr312DvkjYnDv9blgWVYwGDjAslDKaLh9DJrCAoZDIlVbDlaAogCjWo4lUzN4zybJoMJTCwtx/3vHuGMb5uXjuYPl8PpZLr1RLcfSqzPw7AH+c91+pBrbj1Rj+bQsZJrUON/ixI7SGtxUlI43Pq/Chnl5eHh3Z39YPTMH276o7sgnD1a3lyt76Fk5o4goSGgE07j8WD0zh1eWUP3cdW0O1uzh97/8sP4n1D7WzTHj6f2nUd3i4tqbpBvtO3OyPuK+NszLgznZEDXN2EQd1s/N45VtVXEOdpTWRLRPv58By7LYuLAANEXhxX+cRXmjPSKPrvdSZ3FzTj9FASwL7CitwStLJ0eUx+9nUFZnQZ3FjWSDCuZkPaQiBf8yTRrkpxkinsFQ6meE/sPp9WHJ1MzIMcHbf6rK3kCAszXh/cMXYHpOLIIEnQR3/TgnYmxO0PWX0JaSs2MhyKZ0AqFv9MWfYxgWTTYP7pieBSDoD9VZ3FG/mh4tr7GJOm68F/KDHr8xH0a1nBODAoL+ii8QwPO3TMDxWgsYFpBQQGacBjaXD0oZDaNajkVFaUiPVUMmofDkgny8/tk5AMDO0toIH2P9nDxs/bQCBqUMj5SMw6Mffsf5RUL+kssb9Nm7+hr5KYaIaz86Nw+bPy7nXcOolqPV4cMjHT5LhkkV4aM+fmM+3v+mhstn9cwcqGUSODw+QXtIU8C7pbURvsP6OWb8q6KBOx4SsurqX6TolGh1eLFxYQHkEhrrZ4/Dmg++450fqteRcRq8vmwybC4/EvQKSGkKWXEaUBSFqmZ7t75thkmDpxYW4P73jvPmIds+r+L5sAGWEZyvsOA/j558xkyTBg/OGsu1vcxFBYLP1EK+ZDDsyTRp8PSiQvzq3c451+qZOUiNUWF0vG5A8x6bqMNd1+Zg6atfRszj6ixutNg7vw7k9PqxeVEhGBZwePzQKKWgAc6u9IZMkwZjk/WC/T587rV+Th7MSdqI9HE6uaA9idPIsHa2mbdm89iN+UiKib5mk59i4OZiQnbm6UWXdx7TnYhq1zGKQBhIurbFrutSR8424a4fZ/PWKNeWmOGLMn+rb3cCADfeqWQSZJjU2LSwEA6vH8kGJR7Zc5LnO4UEs+65LhfPfFIOt4/BB8cu4I//NQFSWoKLFhfUcine+LwKI2KDwn4h+7GqOAdvfF6F9XPzeGthIYL9KmjjzElatDm9nC8lZAs2zMvDcwcruHI9UjIODrcPz/18QoSNSDEoI9KvnpmDykYbnj9YGbRvc/OQZlB1+wzC/dCQL5OboAPLBn1amqZE+8Xhto6zuXPzUJASfa1qsCB2kEAgEIAYlUTwXWKMun/WKwkEwsAS7b2Jsx/fm1wKrqjvc3o/rycQCIPDUN/rQrgycXn9guOHW+QeMQLhUiFtj0AgDAQur/DeZTIvIhCGDy6fH4/faIZcIuX2LXj9fnj6+YPAvS4X8V0IhGFPX2InBgpiWwgEwkDQ7vQK7stp70VcKYFAGFwkNIu7i3MiYhCkErbnxAMI8V0IBMJAQGwLgTC8iVFLBeMqYlSXTwjLAqCMoqiPAbAArgfwJUVRWwCAZdlVfSoJgTCEoChwAZVAcLK/7oMy7FwxVVT6OrsHWz+t4AnRbP20AkWZRmSJ+BpJTasXdW12vLFsChptbiTolDhS2YCaVg2SYnrOPyVGhZ9flYEHwkSN1s42I7mHwKtwEnVKWF1+rJiRBYYFaAowaeWI14oT9NAphdXDty2bIiq9lKax6+sabFxYCJfXD5Vcim2fV+H+n4wRfQ9yKcUrv1xKiU470CR3CKbEa+VgwoStjl+wAl9WY+PCQlAADCop6q0uXGdO4gQPnr9lgmAwcKxajpXXZoNhgaQwQZY6ixvbj1RjxYwsTEw3gqYQ8WzWfVCGl5YWdbQ5DwwqKXZ/XcttCAhPf+ebRyOe6/JpWdh6qBKvfFaFbbdPgU4pxbWj48GCxay8JKTolMiK06C2zYUL7S4AwKKiNIxN0sPt8yFOr8RTHc86xajClPRYnGqwCd5nboIOLIDHPvoOXj/L9TOaAkbFa+AJMNj5VbAO3V4/Uo1qFKZqoQrrezRNYZY5CWNWTUeD1Q0pTeHJfadQUpAKqqOZvHC4EltunhD1GUqlNOYVpiInQYt6ixtJBiXGJupR0+ZEg9WNRL0SmSYNaLqz3dVaXFzZvP4A4nUKVDXaseXmCchPjeHO9fsZ7D52gS+AMTcP+ak65MTzX7iE30ujzY0kvRIjYjX41budG2OfXjQ+IohQKI8N8/IwrzBV1AsdmqZQPDoR2fFaTEw3wun1Iz1Wg5Fx/HsOh2FYnG9xRK0fwtBFp5Bj0/5veH1/0/4z+PPyq/otD5NGISjiNisvqV+u32xnuKAyIHgPa/aexJvLr0JmXN+vTzalEwj9T9cxLkEnbuxgGBb7yup5/TEk+NLm9AoK1NE0hRvGJmLHiqkdmxyUMCcbUNPmxHMdvs6YJB0nGgoE7chD75/AihlZ2HKgkruWUkYjTqtAo82LFw9XdYq0zMuHSSvHvdflQKOUcb6dUkbjwVljcLrBDiDos8aoZHhm8XicqrciwACl55vw5IICNFo9yIhV441lk9Fk98Kokgn6SzqlDC8umYREvQK+AINZeUlc3c0rTEVOvBY1bS5QANQKGm1dXmwuKkrjRLAAoLrFhRcOV2LjwkJUNtowJkmPVz87ixsnjsCCSRnw+RkYNTLolVJcaHfj/p+MxlN/PxPmixQiNUaFsUl6BJhA5zxHr0SbzYUf5SQgSa/EDeOS0GR38/6doFMiWavA3pN1EaIOO1ZMRYPVg5QYJa4fm4Bvay0832bz4vGcj2VOjcGx79tRdtGC3d9ewPJpWRiXrONEicKf6Z+WTMJbd1yFOosbCToFpBIKTy4YDwkNTEiPQYJOiQDDYuvByoj5yu/mF/LaYk2bE+mxamy/fQqa7B4k6JQoSDFw/lbXds4wrPAzHeSvWhL6Dk1TyDCp8cBPRiNep4RGLoGPYfHS4UpkmNQoHGEEMDA+c63FxfUfgD+Pe+WzKpi0nV8HMqrkqLPYIoTBU2PEryeE33OiXgGKovCHWybC4Q1ALqFw+mIbnlxQiCabG/E6JT4pu4AxSVoUjOB/pShJr4wQvHpifj4abV688I9KLJ+WBQkNjE3Sg6YBtzf6y125XIJ5BSnIitME5006JZ7/+QS02L1odXqhkF3eeclQEVElc7QfFl2fd7pRDbVcglUzg2tJu47W4vgFK+Rf1+DN5Vehxe4Jika+9iV/DenDMry+bIrg/O3pRePxp19MRFKHL/Xl+WY4PAGeuGZXgeK1s81QSGgY1VKsmJEFKU3jmtw4nGmwY82eb3gCXO98WY31c/Nw7HsLMuM0uNjuxD3Xj8bk9Fgcu9Au2K+S9MF+JZNIYXX58eLhs5z9yE8z4JVbi+DwBJBpUiErTofCtBicqrOissmO5w9Wos3pxYZ5eZwoVYiMOC2yExy8tUeNXII//qOKq6s1e05idKKWs/HRkEspQR9x8+LxGJesQ53FjXHJOvz17umcfyTUX8NtXeg5F6QYIJcPPUGVoWIHCQQCYTBxeBjsLK2OmFdmJ4wb7KIRCAQRXI73JpeCdoiWi0AgiOdS340QCH1Bq5BxG8sBMn4QLh+k7REIhIFAJe/b3mUCgTD4xOsUaLL68ND7nXEQ6+fkIU4r7oPiAwXxXQiE4U1fYycGCmJbCATCQBCrEf4IqVE9uP4UgUDoBSzN+S1A0Ed4ePfJQfcRiO9CIBAGAmJbCIThjT/AItWo4sVVpBpV8DN9E/DsjRDW+x3/hfi0LxlTFHUPgDsQFNU6AWAZgGQA7wAwATgKYAnLsl6KohQAtgGYBKAFwE0sy57vuM6vASwHEACwimXZv/elXAQCADi8AUHla4dX3JdEGqxuVLe4sPVQJe+42C/aWz0+yGRy3NoRaBYK3rd6xH1B1uUNCAp5bb9d/ItclzeA339SzgkDMSzw+0/KsWlhYc+JAVhdPsE6tLrF3YNcQmPm2CSemNfqmTmQS8QtMp9vcWDlW99ELNp8tGq6qGcw0OSnGLBxYQFsbj/Kuwg+Hb9gxQPvHcPzt0zEiu1HueDk0O8v/uNsRDDw+jlmPPX300EhLQDJBiXuuS4Xz3xSDrePQZvTC41cChYsRsZpBJ9NvcWN8y1O6JQSuH0KfFTWAOO5NqyYkYWsOC3qLC4cr7UIpqUocIJLRRmxvE2Yfj+Dv5XVQUrTeGDX8YhnsmJGFqQSKe5++xskG5RYVJQGm8uP6hYHfj1rDJ7Yd5q7z0dKxqG23Ym3v6xBSUEqth6q5PWz534+AZv2n4bXz+JMvQ0UBVxod4FlGUwdKQdNUxFBvpkmDUqrW3HT5AzUtjmxs7QWbU4vVhXnwBvg32tXpFIahSOMKBwhLLqxefF4zDIncfXRYHWjtNqC0upveNd5Z8VVvDorq7NELFas2RMU7BHa4ErTFLLitVzbTo/VYGxy9xtjhfJ4ePdJ5CT0HKAZnm9mnBaZcT33KTH1Qxi6tDg8gn2/xdF/X4TINGnw4KyxAyYk1WyPcg/2/rkHsimdQBgYuo5xYjjf4uBsCdC5qXHFjCyMSdIL2hWGYbH/VEOEDTKqZZxfv7I4W9COFKYZsO32yWh1+BCrkUEqAQIMIsrwm90nsPLabKSbNJyPG/rtyX2nOZ/v/2aNxfELFk5EK8Te4w2497oc1La5uE2bGSYV1s0xY+3eTr/wnuty8bt9p/DabVME600qpVGYbkR+WgzOtzhgdXnx6Nw8TqBCKaORFaeNuNfqFhfcXj8CDPDoh9+hzuLGyYs2vPCLSQAAm8sPlzeAU3VWHDrdyBMrNafokRmnhaOyATUtPtz3Hn+es+Pv5bi7OAfzClMxKqGzzKMStGAYFv8+1xIh4hPyjW4wJ4FhWHxW2cyJloWETZ/cdwpjknRcPZiT9ahpdWD5f4xEs8MLu9sv+EyPVrchN0GHlW9/w7WFwjQj5/sAwPlmu+B8RSqhuDYlJMj25L7TeHDWWJ4PFN7Oj33fJqiCrpIN7pfnCP1DbZsL6z88FXG83uIWPacIR6yIUYPVLdjWJTSwfo4ZBlWnQIrTF+BEpjiR4H9U4nfzC3p9vwzDosHqwXd1VjAsIKGA8ekGJMZocVvYesdvZ5thE1jvSNGrEKuRYdPCQji8fmjkUhjUMvz3tlK4fQw3FwzNK2NU3W/SkMslKMqMRVWTHT/b8s9BXS8YCiKqZI72w4JhWBw804DjtRYwLKCVS5BqVOH+947DqJZjUVEaHvrZGMTrFLB7/DCq5ZiYbsSB0w2C9sPmivya+ubF44MC7GHtRyqRRIhrbv20Aq/dNhk1rU5o5FI4PT7c/c43uHlyOt4trUWdxY2pWbERY/+6D8uwcWEh6i1ubP64HEBn35XLJShMjcH6uXkRwpkFKQYAwPGLFq4s4fbj9WVTkGSQIStOB6mUhtPrx9Mfn0FJQSoWTEoDADx3sCJivYSmKVybm4AEnQJ1FjfUcgke3HUCdRY3r65CNj4aoTXM5dOysPkTfmDOvTu/5URXxfbRkK0b6gwFO0ggEAiDTaPNI/i+oMnmGaQSEQiE3nA53ptcCgP9LoRAIFweLuXdCIHQF8j4QRgsSNsjEAgDQVTb4iBrLgTCcMHpEf7o6bZexEEMBMR3IRCGN/0ROzEQENtCIBAGAhlNC+5FFhuTSSAQBp+mKD5Ck31w1zeI70IgEAYCYlsIhOGN1e3Hts/PYemPsuDy+qGWS/HG51VYNTO3T9cVLYTFsuwb3f1OUdQulmUXiLkWRVGpAFYBGMeyrIuiqJ0AbgbwMwDPsCz7DkVRLyAocPXHjv+3sSybTVHUzQCeBHATRVHjOtKZAaQA+ISiqFyWZcWpFREIUYj2RfpEvbgv0vf1i/YGpfAXicQKWTVYhQf9hl5snm91Rga0rSrOQZtTnJCVTiUVrAOdUpzZabR7sO2Lai74lmWBbV9UY5TIjX7RAn3FipENNHK5BGOT9Jj9/GcwquVYVZzDq+tHSsbh0Q/LOJGp8Hs5fsEK/Lsary+bjJoWJ9JiVWBZ4MdjEjBjdAJ2Ha0FAGjkNF67bTJaHF7QFPDCp2cRo8qA3eMXfDYxKhknuJVhUuEP/zURbl8AMWo5fv2X46hucWFlcbZg2tGJOqyYkQWFLDIQr6zOgopGOwAIPhOGBZweP5INSiyZmsGrh3uuy8Urtxahrt2NmjYnnj9YyYlUdf3wRqh9ef1sxHUS9ONgVFtR3eriBdg9f8sEeP1shEDB9iPV2HKwAu/891TRz1RIdOPend9iTFgwtVjbUGcRbr9VTXY02jw9Bj32tDGWYVhcaHdFFUTrLkDzUhFTP4Shi1oubNNVckk3qXrHQAtJGaKOS/17D2RTOoEw+ETzAyeMiME1uQmCdiXaOLVjxdU829HVjmSYVGhz+vHw7hM8wQUwtGAZ3H4G5Q02wd/SY1VYPi0LFY12MKyw3zQmWY8V24/yxCT+8GklXlwyCfUWN6pbXXjry2rce/3oHkUEQjYLAPJSYpCbqEW9xQ2jWg6r2ydoM6tb+WK/bh+D0/U2sCzLe1n661ljYPP44fYHfb1muweZcVrIJFKs+/DriHnO8mlZUTeV1LQ60GiLMr+xurnnd7rOIjh/aXV4uPuUSmlcPzoRf/2uHo//7TTumJ4leJ8BBnB4/Vw+Qj5LncUtOF+ZkB6DzDhtVEG25dOyuvWBXL4ANHIJTwVdI5fA5SPLHFcCyQaVYJtLMgTnA73xmXsjYhRtHvKjUXH4y9FqJBmUGJ0UPG7z+AX7ks3j7/X91rQ6cK7ZwQn7KWU0HrsxH3/8RyXvHn8bRbj7VIMVj390ihPoZlnAoJRGnVeKfbk7FNYLhoKIKpmj/bCoaXWgosHO64+rZ+YgN0GLWXnJEX3+0Q+/w4OzxsKoEZ5HaZQS7CitwZvLr4KfYaK24VaHF0a1HPMnpnHieruO1sLm9uNCuwsBBvjL10Hxq2cPBMfJrYcq0RhlbdPdIYoXKseGeXlIN6oBBNfa5hWkICtOwwkEFqQYIO+Yt9ZHWWtpsLrx4K7j3JdeWxyeqD5FOF2FVJ+/ZQLanPwXruE2Phohm9R1/S9UvtCHUK60PjoU7CCBQCAMNlpFlHFW0ZvvWBEIhMHicrw3uRQ0UWyLSjG45SIQCATC0IaMH4TBgrQ9AoEwEMRrFYK2xaRVDGKpCARCb4gaB2Ed3IBv4rsQCMObaPEZAxU7IRZiWwgEwkBwMcoe50yTBoWDXTgCgSCKaHtKtIO8p4T4LgQCYSAgtoVAGN4EWAazC1JR2WgDwwISCphdkAomFAhxifSn15N1CXmrKIryAVADqANQDOCWjt/fAPBbBIWw5nb8GwDeA/A8RVFUx/F3WJb1ADhHUVQlgCkAvrj02yAQgl+kf3rRePzq3c6A0qcXif8ifaZJg7fumAxfgOICeWQSVnT6dqcPuQla3DFjFFweP9QKKV46fBbtIkWoEvTCL3ITdOJf5BrVwmJc25aJE+NSyyRYP8eMNXvLOkUB5pihFrn5VyWTIDVGgdFJOq4OUmOC9yWGRL0SRRmGoHpgR/o3Pq8SLUY20DAMi+/bnHD7GNRZ3Nh+JLjAlB2vQppRgya7Fxvm5qPB6kKzwxvxPMsb7VBJJciMV6G21YOH3u8UX/jtbDNitTLUt7vxRVULpDSNrHgN/vfH2TCopdi8/wzuuS4Xz3xSzqV5/MZ8vHu0GhsXFnL19YdDFbh7Zi6sLl9QnO3nY8AyDB6dm4dH9pyEUS3HoqI0jDCqUdPqwLultXjxcBVeWloEvVIGc7IeUimNFocHoxN1sLv9eOino+ENsHD7g/fywbEL0MglaLJ7MH9iWkSbe+aTcrx622S881U1lv4oC7+cmcM9y3uuH83Vi1JGY22JGeeb7Vh6dQbe+aqGW7ADgBcPn8WGefkRQb7Hay1cEGhBqh7/++Ns+BkWW35eCK+fRW27C94Ag0S9AiOMkcF4fj+DsjoL6ixuxGrkyE3Qosnu5QV4hsQX/H4GNpcPTy8qRKxGjma7BxRFQaeURNiGaAHyiQYl1uw5iTFJum6DHr3eAI5ftKDe6kayXon8jsBPv59B2UULatpciNPKo274YBhWVOAhw7A43+LgAky7C1hssLoFg1/7I9i8aznSjWrUtDlFlYsgDrVcgof/cywabR7OEY3XKaDp54AOhmFhc/vQ7vRBJZOKbotiUEol+L9ZY/C7fac5u/F/s8ZAKSMTYgLhSiOa4EvGJYxTvkAAmxePx707v8Wuo7URX8dZNycPd755lOdfrNlzEttvnyIczCoPjvtPLsiHWi7FhXYn3vi8Gm1OL9RyKSgKUEopKKUSrJqZzQkf7DpaC7mUgsXli9iMUd3igtMbgFohxbTsWFyTGwd/IDg2hnyM6hYHLlpcsLn9MGnkSNArkKxT4VSDFS0OD/RKObx+BjmJOtAUsPHvp7BhXh73BTSljMYTN+bj9wfKuXyTDUosKkpDdoIGcgmN+28YjQS9Em1ODxJ0CpgCCjg8fmiUUrQ6fDh5oR1tTh8e+tkYxGkUsLn90KukaLJ5oJBKcMf0LLQ4PDjfbEd6bPBZhcQ7JTQlWJ/xOgW+ONsMmqIwOkmHozXtuGN6FldnXYVNGYZFWYMVv+nwnXcdrY0QpF1VnIMdpTV4Yn4Bnr2pEDEaOU5dtKHJ7uH5FIl6peB8JTTfCG9TCimNkXEaXGh3IjVGDaNazvOBXC4fTtRb0WD1IF4nx6HTjRiXGgOKAgIM8Md/VGH9XLPIHkAYypiT9RF9a8O8PJiTDQB6J9DUGxGjTJOGs2WhfB+dmweWZTAtNwEM27m4GKOKshZwCV9WbbB6OJsZutZv3j+BB38yGiadkrfe0eyI/FpHncWNSSNi8B/ZJjTbPIjXKeD1B5BhUmHJ1Awk6lXQyCXwsyzaHR4k9LB5PTRvcPkCWD0zGztLg+I7QO/Ey/uLwRZRHcg5GmHoIdQfnz1QgY0LC/HAe8eiCjf+eflVgl8HlElo3HlNNuJ1cmSYoreXOK0cd107Cja3H7FqOTRKKTYvLgAA5CTo0NghahnKO9QWTVo5MkwqTggPCK4hpRpVcPsDeOino5EUo8bT+09jYrqRa7NyuQRFmbGCZUnQKwTXCo1qGe6YnoXnDlYgJ14Lk1oBt98S4VO8ufwq3vXOtzjQbndg27IpaLC5kaBT4M3lRfjFK6WCNj4aoTXMyZlGzv/bdTRon5QyGrmJOqwszubK0lMf7c1azWAz2HaQQCAQBhu1XIIN88xQSqXc/Nnt84t+j0YgEAaXy/Xe5EopF4FAIBCGNmT8IAwWpO0RCMMft9uPE3UW1Fs9SNIrkJ9sgFLkx3IHCilN4d7rc7H54879sfdenwvZEF0rJxAIkSTqFYLvChN7EQcxEBDfhUAY3iQbVNhz12R4fBI02ILv0xXSAADZoJaL2BYCgTAQGNRS/GdePKbnxKGpI67V4/XAoCIfZSIQhgtquURwfWOw95QQ34VAIAwExLYQCMObGKUcFrUPLWEfFTeopTCo+rbm0p+zF9GSXCzLXqAoahOAGgAuAPsBHAXQzrKsv+O0WgCpHf9OBfB9R1o/RVEWAKaO40fCLh2ehgdFUSsArACA9PR0sUUl/EDx+xkEWAYrZmSBYQGaCqrR+f0M5CIGTrvHg8pGF9bs7QxuXT8nD9kJHuhVPQdWZpiU+PlVGVwgmlJGY+1sMzJM4oIy1QoK6+fkReSvVoh/kWt3RwbZu30M7B5xYlxePwOZlObVoUxKw+tnek4MIDVGjsVF6bw6WD/HjNQYuaj0aQYVFk/m1+H6uXlIM6hEpRfLpdgWhmGxr6weZ+qtXEB/ncWNujYHMk1qLHn1S15wYYJegScX5GPzx+UoKUiFhAYmphuRqKfwXT3DiWABwWf02w/K8Kclk+D2M5zIU3hQ/10/zsbO0qBQlIQGCtNiEKOW4NrRyfw2V2JGdYsDNMBrjxkmFV5cMgmNNg8vgHtVcQ62H6nGNzXt+MOnldgwLw9z8lNgdQXwf385DqNajqVXZ+D5Q5Vh4hFmxKhk8Ae8ONUgHPTd7vRiwcT0iLJRYLFjxVTUtLrAAnj58FkAwMriHNxUlB4haMCwTMT1pTTNiWDdclUG7tn5LXITtPj5VRlY90EZr/+lxDgwPTuBCx70+xnsPnaBVwfr5pjh9TN47KNT3LGcBC0KvAHsPXExor52lNbg7uKcCLEfoQD5tSVmPHegHDcVpaOlQ1xLCK83gN3HL2LNnpO8tj/bnIS/flfPXbMowxAhVreqOAe/evdbPDhrLGaZk7oNlAy14/Bg+s2Lx0dNl2xQYunVGbzg2TUl45Bs6FuwuVA5NszLw3MHK1Dd4uqxXEOVoea3+AJ+SGmaZ1N+O9sMX8Dfc2KRCPWpDfPyMK8wFVKpOBHE7vAxfhg1Mt64ZNTI4GcC/VB6AmH4MNTsy0CQadLgk19djYutAW7DQopRghR9dFFaoXFq9cwcxGkVmJgeizGrpqPR5kaSXokbxiWhyR58KXim3irov9g8vkghqfn5aHf6cE/YmLV6Zg7+95qgyMLjH51Cm9OLpxYWwONnsDks7eqZOSjKjEGz3ScoCPVdnRXvltZG3MPmxeOhUdD47qKNd/zRuXlQyCx4ev+ZCL/p6UXj8dj8PJypc/BspoSm8NBPx2D1jmOcX/fOVzVQSiW89JsWFaDN6Y/wpRqtLrCgoJBKcO+7/HnOn/9djfJGOx4pGYeL7W4kGez4cU4C9p9qgN3tw5tHqrG2xIx1H4aL7OZh475TKK22oCjDgJsmZ0T4vtuPVOP7NifyUgygaQoHzzSg3dk5zwkXpM2IVaG61cX5y6//6yzGjzDhwb+cEPR1krRyLC7qMt+Yk4ckrTxqm1pVnINN+09j6dUZSNIHfSCXy4cPTtbz5m5rZ5vx9r+rcfyClXvGGbH9O4/pb34ItqU/kEppzCtMRU6CFvUWN5IMSpiTDZyvE03IT0igqTeiWQAgl1J4646r8H2bC2eb7Nj8cTnanF6sm2NGdnznZlGnV3gtwOkVtxYQjsPrj7iWUS2HRimLWO9I1EXO9XMSVLCOisPtr3/FnfvUwgLcXZzDs6+rZ+YgNUaFBH309Zqu84bFk5Lx+5vGo9HmQaJe0eM4cSUSbewL2aehALEt/YdQf3T7GLiiHKeo4P+bHB7BrwNmJ2jx9r+rMTJO3a0QlkxCw+kNcO0sw6TCnddk8/yE+24YjVc+O4c2pxc0BRSk6hGvk+KuH2d3EdjPg5Rmcdefv8HaEjNePnwW1S0u0eJtI4xCY7cZu7+uxUdlDbjnulxYPV40WL3Y8+0Fbg3uifn5+Pp8Mzy+rnNHP6RSOZa+9iWvjH9deTUqm1w8G9+dOFWKTonFRRn4n+1HI9aM7rwmG0/vP82tb/TUR3u7VvNDhtgXAoEwEPTWtjBsAAEGuC9sbFo3xwyWJeuVBMJwwOsf+PcmQO9ty+V4n0MgEK4MyLyIEA4ZPwj9BfFdCIQfFm63H3tP1EXsU56Tn9yvYli9tS12jw8KCX/vskJCw3EJ7zsJBMLgoFdKBN4VmqFX9W/wI/FdCIQfFhlxSuw/aYvwXW7I0/drPsS2EAiEgaC3tiVRJ0NukhG3ddnXlKgfXPE/AoEgnqjrGyJju8VCfBcCgTAQENtCIPywkEgoWF38/mp1+SGR9C1+oe+qApcARVFGAHMBjASQAkADYNZA5smy7IssyxaxLFsUHx8/kFkRrgCOX7TggfeOY8uBSjx/sBJbDlTigfeO4/hFi6j0p+sd3AIpEAwcW7P3JE7XO0Slb3cFuICwUPp1H5Sh3SVu83sgQAFgsGlhIZ5ckI9NCwsBMB3HxaFVyqCU8U2EUkZDqxS36OENsPj9J+UIdMTSMSzw+0/K4Q2I08xrcQS4F1hAqA7L0OIQVwenGqycEBCXfs9JnGqwikovlkuxLedbHLh357fYWVqLVcU5XD0vmpyOR7qU+dkDFahucYKiWNxdnItXPqvClgOVuPPNo/jsrB2VDTZh8QWXH3/+dzBQcWVxNu6YnoUdpTUoKUjFmr1leOAnY5GboMWkDCN2fHUeAYbihAVC11j3YRkyTBrEahS89ljd4kJpdRsXeBw6f8vBCiwqSkNmnAZuH4OHd5/E8YsW/N9fjsPtYzB/YhoX+BhKs3ZvGcrqrIjXa/GjUbGCbS5OoxAsm1QiQX5qDJINSlQ22jBjdAJuMCdBp5RyYgzhZVPJpBHXz4rXQCmjcceMUfhtxz3eMWOUYP+zuQI439LZh8vqLBF1sHZvGZrsHt6xB3cFbYdQfZUUpOLh3SdRVse3LaEA+W23T8FTCwvwpyWT4GMCmDoqHjtKa7qVnjx+0YKthyp4z37roQqcqLfyylBabcHO0hq8vmwKVs3MxvJpWdh+pBrVLS7cu/Nb3r0KEWrH4ffUXboAg4jnv/7D71Dd4gLDiNbSFFWOh3efRElBqqhyDVWGmt9CURKujwCdonsU1X8bC4T6lFD/uHQkeHDXCd7Y/uCuExgkd5hAGDSGmn0ZCKweDz6vsGHpa1/i7re/xdJXv8TnFTZYPZ6oaYTGqWcPVCDAADRNIdOkQYJOiTqLGxQFTMk0ISteizitQthnVsjw3MHO8Xj5tCzUW9x4ct/piDyaHV5Y3X7UWYKiNhWN9gh7+OyBCvgDwO/+dornPyplNB67MR/vltZG+FpGtRyn662wugJw+wIwquXc9R7ZcxL17S786oYxcPsDuGN6FpINSrh9DH717rewOAN4YFeX+dCu4zCqFXhqYSF+tyAfzx4I+jJd/S6wlKAvNcKkQZPdg7V7I3+7Y8YouH0MHv3wOzTaPDhea0FZnQX37vwWTXYPyhvtePvLamzsMr8prQ6OEUt/lBXhR4d804pGO8rqLDjf4sDxWgu+b3XynlmdxY1XPqvCyDgNClL12LSwEDtLa5CTGBNxb+E+xcl6m+Cc72S9LWqbCvl/obYFACfqrRHXWfdBGVbMGMU94/t/Mhp2z9AOhP4h2Jb+QiqlUTjCiJ/kJaNwhJEn+Jlp0mDz4vG8Pr558XhkmiIFmkKiWeFEE8063+LAyre+gS/AYvPHZxBggAWT0nDH9Cz84dNK2Nyd7UstF14LUMt7vwEiI1YTca1FRWkRc/V1H5RxfSIcoXWBaDayssmORlv0fnKuuXPeMH98Mooy43Dra1/i7re/ETVOXIl0N/YNFYht6T+E+qNSRkMjj1wrUcposGzw/7FqOdqcXmw9FPQJth6qRJvTC4NKhvJGu6DNCcfaZX3qvhvG4IV/VPLa3ab9Z7CoKA0b5uXhxvGpePg/x6FVcF3wJChIuHWh6bkJUe2eEN+3eQXG7jLMnZgGt4/BM5+UQyGV4rmDFbipKJ23Bpcep0eSgW8Hm+3CZWxxBng2PiRO9bMt/8TPX/o3frbln9hXVs+thZwU8AW2HKzAUwsL8cI/KlHd4uKOB33C6Gso4bYulObend/iXPPwWhO5HBD7QiAQBoLe2haGpSPmyGv3liHAkvVKAmE4QNMD/94E6L1tuRzvcwgEwpUBmRcRwiHjB6G/IL4LgfDD4kSdRfCd+Yl+2+sVpLe2RSGT4ol9p3n7HZ7YdxpySX9+O5xAIAwkrQ6fYAxBq6N/A76J70Ig/LAojxLjVS4yxkssxLYQCISBoLe2Jbj3MtLmiY3JJBAIg48yyvqGQta/6xvEdyEQCAMBsS0Ewg8LpzcAhzeAFw9X4fmDlfjT4So4vAG4vH2bf/Sn19MbSa7rAJxjWbYJACiK+guA/wAQQ1GUlGVZP4A0ABc6zr8AYASAWoqipAAMAFrCjocIT0MgXDL1VreguFCD1S0qfaPNI5i+ySYuqLLBKpy+wSouvdXtx5q93/GuoZTReGlpkaj0ANDm9GFVcQ4X/K2U0VhVnIM2p7iXSDaPHzcVpUekt3nEKXBGq4NGkXUQEhLomr7e4kbhiCiJLhMNHe2rzuLG9iPBYECKAprtXsEyMyxgVCvx39tKuwjEnMBTCwuhlNERzzrAMIL1T9PBtJ+dbcaWA5VQymisLTFHbbONVg8Yho34jWEheH66UY2L7U7u7/C+RFHCaRgWaLF7kWRQRLS5R0rGod3ti9qf9pXVcwF+ShmNR+fmoamb/rd58Xje+XJJsF5cXj+XxuXxC6Z3eP1otLmRFa8FEL2NddV06loP4cdDdSLULqVSGla3D002DyfsEHqOFnf0ftjq9OKWKRl45pNyLs091+WizRlZj6XVFtRb3NhyoDKibOH3KkRDlHuKlq7RJnx+aXUr0oyqbvOKBsOwON/iiFq3IYxqOZpsHjRY3UjUK5Fp0oCm+6Yk+kOjMZpNFjmuiWGg7XZfx1YCgTB8iLZhITNuCqaMFBZKiDZONdndGBmnifA5Ni8ej1nmJLAsBH1mu9uH6hYXth7qHGNXFmdH9R3itQqsLM4GAEhpWvC8FrsX1S0unv/IsoBBJeUEukLpkg1KLJmaEVGu7UeqUWdxw6iWQ6OU4YH3jgn+Hs1m1lndWP3Ot3hyQT7PlwnHEcWXanf4ovqQLq+fVx9A57jw5pEa3HfDaGzafwar3v4GShmNdXPM+P0nnXXr9QcEr5sVp8WT+07DnKyH0xsAwwK7jtZGPLNH5+YhP9kApVKKfSfrUFptwYzcxKhzwqx4bY/jSrQ2FaqzJrsboxKiXyfAsFhZnA2WBV7+5zk89LOxmJgBwhUOTVOYZU7CmFXT0WhzI0EX3XcNiWZ1tU1Colkh373d5ROcJ7a7OucXfV0LCGdknAZPLxqPX73bWcZR8Vphn0/AJxPqH9HsCMOiW7+uurVz3rBwcjpuf/2rXo0TVyLdjX2jEno/PyMMbYT649OLxiM1RolHSsbh0Q+/4/X5HaU12Lx4PCwuYZtgcfmi2pxwvIGAoN0J+RxAsN2NSdIhL1UPfwBotHvARunrDbbONBIaosoQItqY295h30JzXCGhz4d3n8C226dglIjrdbVF0YTEx6yajqx4bTfr0B5OBCv8+OkGG7LitYJjQ7itC09T0+og/ZpAIBCGIGS9kkAY3lyO9yaXwlAtF4FAIBCGNmT8IAwWpO0RCMOb+iG6ttFsFy5Xs4PYFgJhuGB1C+89srrFxSAMFMR3IRCGN0P1vQyxLQQCYSCIFlfXbCe2hUAYLvQ1Pn2gIL4LgUAYCIhtIRCGNz4/i2cP8OMvnj1QgZeWiNe1EaI/hbAe7MW5NQCmUhSlBuACMBNAKYBDABYCeAfArQD2dJy/t+PvLzp+P8iyLEtR1F4Ab1EUtRlACoAcAF/2w70QfuAk65WC4kKJenEBkQk6hWD6eK1CVPpEvXD6RL249Ha3H0a1HPMnpnFiMLuO1sLeixdARrUMO0preEH2O0pr8NSCQlHpY1SyiKCxLQcrsO32KaLSR6uDBJ24Okg2qATTJxkGP6g1Max91Vnc2HooKEi17fYpgmWmqeiCAtUtDsGARblUIlj/GzuEswJM5zXWfViGbbdPQYZJhZKCVK7NfHDsAhQyCaiOcoTnL6EijyllNJrsHtg9Ae7vrn0p2v2dqrfCG9Di4Ol6Xpt78fBZPLmgQDBdnFaBW1/7knePtW1OTMowCvc/nQJFGbG8oHKWBR776Dv8bn5nHmqFVDC9Ri5Fgq6z/cRrhdto1zhEpYxGUhSbwrLdt0uDUrgfbRfoRyFRKKNKhlUdIlihNM98Uo7tUdpXrEYWpa9131cSo9xT13ShckloKopoG3oU3RKCYVjsK6vHmXpr1LoFgkIgS6/O4NpKuHgJEcMST0I0myxyXBPDQNvtqGOryHGFQCAMHy5lw0J341p34gUKmUTQZ94kIFYazX+iKeCCxYXnDwZ9wmduGi94Xow6OGaH/MfQ8edunsA7z+1jMH9imqAPsXxaFrYeqsSiojTOf+z6+yufVUW1mTFqGQBALQ/6S+F5htAohX0pmYSKWgcquZRXH0BwDA/lIaMprJiRBYYFaAqQSijIpZ3jeLT5l0krR5vTiySDEjqlDBIKaHN6se9kHTYuLITL64dGLkW704MzTTYUjjByPt7IOI3gNSUUhaomO9JihNtMUsecLVqbCvl/8Vplx3nCZadoCs8f7HzOYueChOEPTVPIitf26B/3RjQr1B6N6p7n6Ua1DAdP13N9RC2X4o3Pq1CUOfaS7kch4/ffFEO09ZbINi7UP7qzpd31E4280zY1R3k5PNgb2y43Yud0hCuHrv1RIaNA0xRePHwWy6dlQSGlkRmnQX27E08vGo+J6UaUVrdGtQlFGbE9zqv1UdY1Qj4J0DHugULp+XY89H5Q9D36/E3J/XvmmATkp8aInttHu2Z8x5wwuNYkh4QWFuHq+jJV7PptT0Li0dahk6Jcv7zBhnHJesFxItzWhadRy8lX7gkEAmEo0td3gQQCYXC5HO9NLoWhWi4CgUAgDG3I+EEYLEjbIxCGN9HWsQd7bSMuyr7OOGJbCIRhgzbKPm6tYnDfeRHfhUAY3gzV9zLEthAIhIEg2rzIpCG2hUAYLvQ1Pn2gIL4LgUAYCKLaFhL3SyAMC1w+YQ0Uly/Qp+uKXg2mKOoEALbLYQuCAlYbWJbdL/ZaLMv+m6Ko9wB8DcAP4BsALwL4K4B3KIra0HHslY4krwDYTlFUJYBWADd3XKeMoqidAL7ruM5dLMv2rUYIVwwh8ZUGqxuJ+ugBoUKYk/RYPycPa/ae5IRT1s/JQ16SXlR6u8eHVcU5XKBXSJzI7vWJSp9ilGDjggJUNtnBsMFAz1HxWqQYJaLSJxsU+N9rstDs8HLp//eaLC4oWww6JY2HfjoWvgALh8cPjVKKgtSx0KloUeltbp+gGJfNLa4OgADWlpix7sMyrg7XlpgBSlwXH5uow/q5eVizJ+wZzs3D2ERxz3AgyTRpsHnxeE5QQSmj8cT8fBjVEmyYl4eHd3eWefXMHKhlEuhVwi/1xo+IgdcfwAu/mIRGqxuNNg92lNbgl9flCg4aNS0OrCkZi/RYNfJTJ0Itl0CjkEKvpHHXj3O6tHkzwDJQyqXYMC8fD+8+wf02KkGLJ27Mx6/fP8Erq0YuwbYvqqGU0dgwLw92jw/3Xp+LzR+XY9fRWqyemYN3vqpBSUEqJDRQmBYDgMWzn1Rgz7cX8MSNBahtc6LJ7sHO0u/x4KyxSNQqsHa2Ges+CGsLs81gWSbiHneW1mJ8ugGPzs3DI2HP/tG5eVDL6IigcoZhce/1o/Hav85yaV46fFYwP4WMRqZJw+VF08DGhQWobOzsp9kJWtBUp+BTSHSpIMXAPdvcBC1WzBiFAMtCIaXx7M3jYU428O4jZL/aXT7B5+gLsBHn7yurx707v8Vj8/IE09jc/oj2tX5uHjLj1BHt8ckFBUg3qnvdjjcvHs+ro1C5ntx3Cg/9bBzWlIzD+i6ibTtKa7BgYmrUfKLZ8pAoiVEtj7C3G+bl4bmDFQCARUVpEUqiIfGS3opv/ZDxBwJ4ZnEhAgy4MUFCAf5+dLvMyfqINrphXl5E/7hUTBoJ1s8xY83eMp6dM2nFja0EAmH4cCkbFtKNakEblG5U46vq1qjiBRKawi1TMvBMhwilUkbjz8uLEGCBpxYWIFGvxGflDdhzvB4FaQb8drYZvw3zMVbPzIFJI0OjzYuVxdkAgFf+eTbivHuvz8Vfjn4f4eOsn2OGy+vDqpnZUMsl3FhLUcICDlSHgMyoeK3g7xIaeOzGfKQYJbz5UIZJhbUlZlQ22LGyOBt/Ofo91paY8cLhyohx2On24Xfz81HV7OB8pJFxGrz6ryrMHZ+GdXPMWLuX72e9fPgsd59quQRJBiXMyQb8aclEUKBQZ3FjnEGPunYXWpw+1LQ48UjJOKx86xu4fQzONtoF51+VDTZuLKFpCmOT9Xjsxjw0Wj144L1j3L3936yx+L7NBX+AhVRCYW2JGXXtTsFrfv19G37/SQWeXFCAP/zXBDg9DDc2yiQUVHIJGIYV9JVCvs/qmTmQdEyrYtQSwbmn1+fDyuJsbi5oTiJ+CyESsaJZmSYNnvv5BHj9DH55XQ5SY9Q41+yAN8Bg19FaWF2d83S1HFh69UhUNtq4Prz06pFQy3svInu+xcH10xD17Q7BNj8mSRORflySJsLuZSdosXlRIU43dJYvXqeATikFEN03TdQrsHpmDp49UIH4KC+HL/fGtr6sW/UH3Y19hCsPof4Y9FuuivBl7rkuFwALmqbgDwSwfFpWUFCdBSgKWD4tC/5AQFR7jbY+GBoHQ+2uyebGK/86h+XTsnChzYURRrng2o7V7eHWH4REsLzeAI5ftKDe6kayXon8FAPk8uCcj2GE1xqrm+2cXxajlmJiurDAukkj5+U1LkkjaM/itBJUNdm5Pt2T6FyCQY6NC/JR2eQIWwfWIMWoiFjbXDfHDI8/gCa7R9BmhNu6cH+zP+3bYNsuAoFAuJJg2EDEHHndHDPIq24CYXgQYITfmwQGuQ/7h2i5CARC7yBzL8LlhowfhMGCtD0CYXiTn2wQXCfP76e9XpeK1+/HmpKxqLd6uHX3RL0CXr/4DwkTCITBRaeQ4qGfjuHFQZg08kEXwroc+2gJBMLAkW6URcR+jErQIt0oG9RykXkRgUAYCNw+P37zs7FosnfOi+K0Crh9ZF5EIAwX9Cpa0HfRq8XFdg8UxHchEAgDARPFtpB9dATC8CC6gKe8m1Q905vV4L8hGFH2VsffNwNQA6gH8DqA2b3JmGXZtQDWdjlcBWCKwLluAIuiXOcxAI/1Jm/ClU+4KEy4QMssc5KozWH1djfidDK8uGQS2hw+GDUy+BkG9XY3MpU9ByAbVHLsKK3B8mlZoCiAZYEdpTV4etF4UeVvsTEIMCxePFzVKZR0Yz5abAzSYnpOL6UpOLwBXvrVM3Mgk4jfGCeTULC4/RFCUjKRm+vidQosvTojIvBK/FeVJNj1dQ02LiyEy+uHSi7Fts+r8MCssaJS11pc2PlVdUT6ogzjoIvf0DSFWeYkjFk1HY02N1RSCT6vasGv/3ICbyybhNUzcxCrlkOtkKK2zYlXPz+HP/1iQsSmgQ3z8tDq9OKB947zggKf+/kEsCwlOGhMzjTi+zYX7th2lPdc8lL03LWBoBDCmr1lWDEjC1sOVCLDpMKfOvpDVbMdT3x0GnIphc2Lx6OqyY5xyXpIpYCMpvFIyVj4GaDd4cH/7D4Jo1qOlddmI16rwMh4NRL1SjwUJqC1fo4Zd0zPRG2bB7e/8RVPjOmGsYmobXdCJgE2LSyEw+uHRi6F0+uDj0HEPbY5vTCpFXB4GKyYkQWGBWgKUEgpBJigbQi3ATRNISVGiZzEGEhpFttvn4JmhxdGlRSv3FqEZrsXMWoZvm9xICdBy0tr0shQ2ejg9bNH5+ZhalYMPup4tgm6zk2p8wpTYU7R4cQFG+7rEF4IpQkn3H7dMT1L8DkmGZS8NCFRKLePgVwqEUyjkNGYV5iKnAQt6i1uTmBCKqWRolfjxSVFKK1uRYABNn98BjIJ3a3N7NqOw+81vFxP7juFm4rSUXbRgk9PN2Lz4vE4XW9FgEGHEEQuTzwrWl10teUNVjfcPgZ1Fje2H6nm7O307DhMSjdiYroRjTY3nN5AVPGSwbYFwwmTVo7adk/EmJAV339B8lJp9DbaH/gZYFS8CtuWTUGDzY1EnRISmoGf6TktgUAYPjAMiwSdkPBdHnIFRFZC1LQ58dzBCp7//tzBCkxMN3YrXkABUMlozu+YnmPE2SZ3xEbPNSWxuOutb2BUy7F6Zg5GxKpBAdAoJDhTb8fzhyp54hNapYTnyyTpFVDLjGBZhucTyWUU7O5Ovz/DpMKLS4qgkNJ4+Z9VEWW+amQsrsmJg1Im7C9kJ+jw9P7TuIvJwegkNV5bNhkWpw9ObwD/762veYJOh87U4XfzC2Bx+fDikkmwe/wwaRSgKAY1rW6ej7RhXh5Wz8xBWZ0NFCR47bbJaHF4Ea9VwOXz47+mZqDV4UVqjAp5qXqMMGrAMCyabN4IkdhdR2vR5vRiw7w8vHfn1bC5/VDLpVj1zteC86/xaTHcWGLSyqHxSfGb94PXTDYocVNROu4J8zU2zMvHoTN1WHp1Fn6z+0TENRdNGgG3j8Hmj8/g7uJcnljsujlm7Dpag3kT0jHLnIRZ5iTELpuCL8+1IjNOg4vtTpQUpGLbF9UYPyIGmXFauL0sdpZGzlt+lB2P5w9WQimjcf9PRqOqxYX8NPI1A8Kl4fczaHf6sOHQd7ipKB33h81HVs/MQUKYQIo/QONCuytiPSE9tvd+X8hnD+eflW24wZzCs2U6pQRaRWT7VisUiFHLePYwQSdDTasnYh524vtWJBuiC+ymx2qQk6jFihlZaHO4BTfldzdO9Dd9XbfqD7ob+8hc6cpDqD8Gv7Lh5/kyNBX0bULrdxqFDNWt7gix8JQYlah8TRq54PpgUaYROQk6xKil8Pr80CtluKkonROgfOinoyP6P8sy0CpV2Pk/U5GXIiyCtfv4xYh567yCFMjlEtC08FrjyuJcrJiRhdQYJRgGSI9VRIjErZ1tRryOv/lVKZPDqJHx7JlMSuGX75xAeaOd69M9CYk3Wrxosnt5du3+n4xGQ7sXWw/x++gfPq1ESUEqHv/oS0GbEW7rQvWWk6hFemz/2LehYLsIBALhSkIplUIlo4LvIp0+GNUytDs9UEgGN5iLQCCII1Yjx/dtA/ve5FIwaeSoHYLlIhAI4iFzL8JgQMYPwmBB2h6BMLyRyyVIi1Xw1jakEnAfqBgsYjUK1Fm8Ee8TYzXkfTuBMFzQKimo5FK8+LfTvH6sUw7unOhy7KMlEAgDRwAMPD4mwkcIYHA3kpN5EYFAGAgS9QrUW/n7LNfNMfP2ihIIhKGNzw+4usSHr5tjhs/Xc9qBhPguBAJhIDBq5KghtoVAGLbIpMBjN+bjN2HaIY/dmA95H7XHe7OT9jqWZSeG/X2CoqivWZadSFHUL/pWDAKhfwkXhQGCgV337vwWY1ZNFxXM12z34Ey9PSJIS6+UITOu5/QSADdPTo9ILxX5/sXtY/Hrjs4eKv+v3z+BN5ZF6MQJ0ubyc3mH0j97oAJ5qeK/tNTqCHBOQ+gaa/acxLbbxZXB05Fn1zIUZRhFpW93+XD9uGQ8EBage891uWh3iZutNVjdKK22oLT6G97xoSJ+Q9MUsuK1yDRp8Gl5IxwdYj2/3HECS6ZmYG1YgOFj8/JxrMaC/BExnGhAgk4BhYTCTS/9m1fHj+w5iW3LpsATCGBNyTis//A7nmCBxennAvlCaZ49UIFNCwsFAyJTDSqsLM4GAJyps2LzJxW88+7d+S2WT8vC/3vra6yYkQWVTIKiTCMWvXAEK4uzOaGiTfvLAQA7VkzlRLBCeazZW4Y3lk3BA7v45Xpw13HkpxrQYHWjyeaFy+cCwwYD//7ydS3kUgpPLijAg7s6hcA2Lx4Ply+A+949FiHs8Optk3G+xcE9/9BXVG1uP6Q08Nq/qjE9NwEKKY2cRC1+97dTqG5xcdftGjRYb/XikS595JGOPjJlpCminUmlNLx+NqJfPbLnJHITtSgcEewb4fZr19Fa3HfDaGzaf4a7x6cXjY8QjgoPaG2xu7F6Zk6E/VHLJJBKaRSOMKJwBL891rQ5sWJ7acSz7clmhtpxtHMarG6UFKRiy8EK3DE9C+WNdjz64XeYPzENFAXMHZ+KiemRwashurPl4aIkdRY3th4KCkXMn5AKqZTmylXVZI8qXkIQj8UZZUwQOS6JJVob7Q8szgCWvlYa0Rb6+x4IBMLgcr7FgZ9t+QIvLx3PE75Lj5UiRhXd9jdY3ahucWHroUre8UabG1MyTVHFC05eaMfjHZuuAGBG9lQBcdGTnK9VZ3HjyX1noJTRWD4tC2OSdHjmk3Le+c98Us6JkYZQymi8cmsRlr/RaceSDUqsKRnH862qW1xYsb0Uf105TbDM/zEqDjRN4XyzPcJfWFWcgyc+OtUxrlbgd/ML8EVVC3ISdHj2AL+MWw5W4KUlRXh6/2ks/VEW7nz1KyhlNF5fNhk06Ah/8+HdQR9p/IgYxGuVkEqAOosbt772JS//jX8/jVdvnQKapnDiQrug37p8Wha2HqrEw7tPYseKqQAAg0qKB34yFr9691uezzQx3dhFyFSBj07UcdecPzGNE9zoLOsJvPCLSfjuokVwTheipCCVE8EKpV27twx/WjIJ/7P9KOdHyWgKf/i0MmL8kUmC4lzNdq/gvGXqqHjuuk/9/QxeXDIpavsl/HAJzWkarG4k6iOFaUMcv2jBI3tOYvm0rIg233WebvMIryfk92I9IUTIZzeq5dwcYEySDo/+9TtUt7i485QyGh8JzD3Otzhw99vf8PpPUcZkwXnYy7cWiRbu/q7egfxUbcc44UGiToH0WFm340R/09d1q/6gu7FvKKybEPqXaMKeOoWM58uEjv9HdnAccnoDnAgWEGyr6z4ow2u3TRaVrzfACtqUbbdPwd1vfwOljMYby6ZAQlM8++QNsFiz97uIcj3/8wmgQeHf51oi7N7xixbBeWtWnAZFmbGQ0RRmjk3irTWunpkDtUKCAAM8/XE5Ni0sxJikWNS0unkCV1qlBFlxet69ldVZImyUUkZj48JCrHr7G16f7k5I3O0P4Km/n+GVOzT2C/VRihocmwEMDdtFIBAIVxLeAMt7LwJ0rFeKfA9HIBAGl8v13uRKKReBQBAPmXsRBgMyfhAGC9L2CIThzfkWB25//WjE2obQe7/Lic0dEHyfKHb/NYFAGHxaHML9eNvtUzBqEMtFfBcCYXhzoS26bUmNGbxyEdtCIBAGAqs7gLV7+Xu+1u4tI++iCYRhhN0j3I/F7t0cKIjvQiAQBgJiWwiE4Y3Ly+LfZxvx6m2T0WL3wKRVYPfXNcgwZvTpur0RwpJQFDWFZdkvAYCiqMkI6v0AgL9PpSAQ+plwUZgQbh8jOpjP6Q0IBmmJDT7+vt2NbV9UY/m0LFBUULhn2xfVSDOqMV5En222ewTL32z3iMrf7vYLpre7xXfVBqtwGRqs4spQHyV9vcj0CVo56ttdWDEjCwwL0BSgktGI18hFpY8W4DeUxG9CX/I8U2+FhAqWr87ixvYjwbYjoYGpI03Y/PFpFI9Jwvw/fsEF6t13w2gk6pWCdXy+xYEHdp1AhkmF52+ZiO8uWuHxM9h+pBq/nJkjmMbh9QvW1wWLC88fDAoMPVIyDka1HHUWNy9tKACPYYFnD1Tgj/81kXeNcLGGRptwu2i0Re+zCTolXL4ATwwiRGqMEh91CST86GSd4LVaHV7QFJAVr434imqGSYU7r8nmgjuVMhprZ5sxwqhESoxaMKD8UvpInUX4Pustbk74J9x+xWvlMGnkvH7AsAwYhuWVJ7y9syygkUt4aTRyCfwsy8vX6w3g+EUL6q1uGFUywWfb1wDoRL0SEjp4rV1Ha7GqOAdbDlZwolVCAmPhdGfLuxMlCSfTpBF1HqF7GqL03QabOJs+FLgS7oFAIPRMaOz4xStf846/s+IqJMVET9ed70jTVFTxgotdxvaGKD6Nw+uPOEZRQHWLQ/B8hj9sB+cCNi/Pr1oyNQOn6q2C6c802lCckxDhJ4X8hzpL53wlN0GL8kY7th+pRp3FjWSDEjcVpWPZ61/xRKpCv4fy+Kq6FcVjktDu9HLHWuxeMCyEx2+rBz/LT8a+snqcrrdyXycJ/b7lYFDkqqbVgVEJ2qh+E0V1/vvA6UZsOVCJogwDlv5oZI8+U6ZJg/xUA/esQ35s1zycXj8y47RYu7csYk738ynpAMD5OF3Ttjt9PD/K4vZyPlB4fdrcwXrTKKQRbS/DpMLkTCOenJ8PtUKKlw6fjciLQOg6pwn5ubPMSRFzl/oO2xitzYfP06OtJ9h6sZ4QItOkwfO3TEBFgz1CeK+rTam3RM49hOYDrQ6fYPla7F600xQmRCnL+RYHVr4VKVizfFoW7n77mx7Hif6mr+tW/cFwWDch9B/R5sYhYfZwQm1xVIIWLXavcJ9zeEXlG219MLR2EszLE+ETuf2MsC3y+LGyQ3yqq92rj9KvGqzujrIIr9cmG5Sc2FRofuhnWJQ32ji/oiAtUgwwmq/i6vD7wvt0d0LiHp/wvXr8jGAfHZ2ow8ribOw6WhthM6LZuv4KOhoKtotAIBCuJKK9L2ki65UEwrBgqL5zGKrlIhAI4iFzL8JgQMYPwmBB2h6BMLwZqn5L9D2qxLYQCMOFvsYwDBTEdyEQhjfEthAIhB8SQ9XmEQgE8fR17+ZAQXwXAoEwEBDbQiAMb5psXuw8WoedR+t4x68dm9yn6/ZGCOsOAK9SFKUFQAGwAriDoigNgCf6VAoCQQCGYXG+xYEGqxuJeqWgEE00+hrM5/YxyE3Q4o4Zo+Dy+HsdfJykVyA1RoHRSToufWqMAkl6haj08TqFYPnjdWLTywXTx2nFiUgBQKJegQyTCiUFqVyw+QfHLiBRZBkS9cL3kCiyDgIM8PjfTkek//Pyq0SlzzRp8Optk+APBANlYzUySCUYUuI3oS95GtVy3P+TXLyxbCIoSNFgC7Z5hQz4vLINt/4oC/e/d4wnFLD9yHk8tbBQsI6V8qBpr25xYeVbX+P3i8fjZJ0VAKCOEmifYlBh44ICnG2yY2dpLdqcXqyemYNtX1QDAIxqORqsbvzyuhx83+bCrqO1AIBFRWlINaiwemY2xqUYcPXIWChkEjw5Px96lRTr54zDmr3fwe1jsKgoDXFR2qZJK9xeEnRK0BRw9SgjijImc8/ytc/O4YtzrZDSNBiGBcsGAxhrWh1IjNJ/YlQyqGQSzraEf0W1pCAVu47WYOPCQq7PvvF5Fe7/yVhkmjSCtihaG0/QKXDs+3aYk/WQSmneM082qAT7VZKh0zaF7Fdughb/97OxuL1DhCI8j/RYNQpHGAGAu/9NCwtR0WhDrEaOVz47F2G/7jbkgGFYnGt2oM7iRL3Vi+cOlqOkIBUSGlgzexz+eKgSxy9YefUvZItD7bcn+5xp0uCqkbGCIm8zcuIxPi2GSyeUT6Je2SFskcV7Lj2JkoQj9jwh+jIOXWn01aYPBRL1Cjz802wUjIjj7OzxmuZ+vQfSZgiEgUNs/7rUeYAY4cQAw8Lq8sPrd8Lm8mFskh7JBhUvv/D8kw1KzJ+YBgkdFK4qSNVjem4CKArQyiUoHGGAL8AK+gZdb+2GcXFINijx3M/HI0GnhM3jw4laC9RyieBYyTDAyXorYjVyhLQwQ3VYb3FDJqEgl1LYeqgSz/18Al75rFOUav7ENE60CegUqdq8uBCPfngKdRY3lDIaAQbYcrACf1oyCckGJRYVpUFCU4jXCPt7CXoFzrc4sPubGtz6oyykGlScn9Jk92L+xDSkx6qgUUjh9zMRdRu6DssG63PZjzIwOlmP534+AYl6BcrrrchJ0MHp8aPZ4cGm/Wd4PhMQ9AuuyojFEzfm49fvn+Cu2TWPZL0SPoblzeliNHKYNDLE65RYPTMbkzKMwj6nWsbzo/RKORiWxVMLC3Gh3QmbO4AdpTXYcvOEjjajwOqZOZxIUIZJhf/342z8z/ajXFtcO9uMZMPwGXMJ3eP3Myirs3QIz6kE5w1i6DqncfsY3LvzW4wREDtJ7rBNAHqc5/fHekIImqaQGavhibK4fQx2lNbgdwvyUd/u5uyWTCJs028YF4f/mjoSbR1zQZmEErwHk0YOuSR6PTZY3TCq5Zg/MY1Lt+toLShqcMSfBkOEqutYmm5U4/lbJuB4rQUMC0goID/NMKTWTQj9R7S58YkLFsF1IilNYd/JuuhzwW7WB/ltLbi+WN3iiki/sjgbEgpIMSgglVCC5eja1881OwTtXppBhYQo60GJ+mC/MmkV+M+8eFw7Oj4oUsqymJ5jQovdi7f/+yq8/3UNkvRK0WJSyQaVoB+m6liXE9unM0wawXsd2eGfPrnvFLd2MzZZjz8eqkR5ox2rZ+YgSc+/fjRbdylBR9HWaYTKSgT0CAQC4dJI0CkExxKx7wIJBMLgMlTfmwzVchEIBPGQuRdhMCDjB2GwIG2PQBjedLe3b3DLRWwLgTDcSdQLr50Odj8m9oVAGN4M1T48VMtFIBCGN1H9KfIumkAYNnQXtzqYEN+FQCAMBMS2EAjDG51SinuKR2JqdiIaO2L3v6hogE7RGymrSESnZln2KwD5FEUZOv62hP28s0+lIBC6wDAs9pXVRwSizzIniRKUSDOosH5uHtbsOcmlXz83D2kGlaj8s+PV+PlVGXigQ3woFHycHS8ufU6SBouL+OnXz8lDTpK4YEKFlMX6OWas2VsWlt4Msf3dqJZg/Zw8rNl7kpd/rFYi7gIA0o0S3PXj7IgypMeKu4ZGQQneg0YhThCk0R7lS9h2cQqefj+D2jZPRBvwj2Agl4uvh4Ek9EWsOosbaUYFzje7sWbv17z6arE54fAGeHWRbFDipqJ0bNx3CmtLzFj3YWcdry0x4+XDZ7lz3T4Gdo8fHxy7gCVTM3Csphkb5uXh4d0nuUD7O2dk47+3l3LXeKRkHOK1CqzdW9YRnK3EkqkZnCCCUkbjnutyoZLRnFiZUkbj/2aNwbyJqZxwU6jOX1o6EV+db0eqQQW31y/YLo5UNmJVcQ4vj8duzEe6UY2yixbUtLixNizNujlm3Dw5DV+eb8Xmj8u546tn5uA/C+IE2392vAw3vfQ1Hpw1Fka1jFeniXo5FkxM5/f5EjMAJqot0kVp4/tOXMDbpRewYV4e5hWm8oLaR8drcdePcyLKNjpex52TadLgT0sm4mK7B0eqWgT7Qb3FjcIRwrby8RvzsXBSGu9eVs/MgUkr585dPi0LHx6/gJuK0nl1vna2GT91euHyBTA5IxZpBlXE9Z+/ZQK8fla0fXb5Apy4Q53FjVc+q8I91+XiV+9+iwdnjcUscxIACNZzcU48Fk/uYkvDbDlNU8iK1/YYzCn2vHD6Og5daaQYhceVFOPQsKdiyE3S4HyzE0tf+5J3D7kix+aeIG2GQBg4etO/xAhaCUHTFG4Ym4gdK6Zy/o852QCapsAwLP52sh6/evdb3tha3ebE9bkJPN+qtsWK9XPysPXTCsFx9oV/VKK6xcVd48uqFtx5TTbWfdDpTzw6Nw96Vad46Q3j4nDd2GSe/VpVnIPd317A/8zIwk1dxsp1c8wIBPyos7jxi1f+zfl8dxfncOUMnfeHTyvx0uGzWDvbzJVBQkPQ/zhdb8NtP8rEW19W46aidGw/Ug23j4HV5cPSqzM4Iadd/ztZ0EcyaSSwe3yYOTYZy9/o9D2fuDEfLQ4vNu0/wx3bMC8PPx2XEDH2rJ6Zg7+dqMP/XpMFhzfAiUVlmFS485psTjw25K+2OvhzB4Zh8e+aFihkNDYtLAQLFhvm5ePh3Sd4vkaj3QOby4tFRUH/0KiW8+5RKaOxeVEhHp2bh0fC5xtzzPjrsVpsXjwe6UZ1RLtdVZyDD49fwF3X5mBsoh4AkB6rQU6iFitmZIFhgasyYznfPFT36z4owxvLpvS1KxGGAH4/g93HLvD6otC8QQy9+cLy2EQt1s/Jw87Satw5I5s3h1w/xwxT2FpBnFYS0bYfnZuHeF3v/T6GYXG22S44nw0Xe1s3x4wAG4hIn6iV4bqxKbxz//iLCQJzKjNoioVBE72MyQZlRD9ePTMHEgqixon+5lLHq0tFaCx9/pYJ8PhYvHi4ilcGwpWL0NzYGwjw1mNCgoxLXg36HR/f8x+Cc8FoNkGora2fY8bWTzt9oPVzzHjvaDV2Hq2DUkZDo5AiViPDPdfl4plPgms85fXtEX193Rwz/nykmpef28egrt2F0uo27PyqOmKdbP3cPBSkGAAAShlQMCIWX51vxTtf1UT4auvn5GFMohonLtpF2ddRcUqB9V8z6ttsverTqXql4FpRmkGFTJMGvgCDB3cd5/kTTUeq8eyBCtwwLol3rWi2rqtgVk9E87+vG50Q4VNumJeHdKO6V9cnEAgEQhClDFhclB4xlqhkg10yAoEghtQo701SB/m9yVAtF4FAEE+6UU3mXoTLTlqU8SONjB+EAYa0PQJheJOiE1onz0PKIAthxWuFbUt8L/ZPEwiEwSXFKBFcOx3s/apk3YVAGN7kJmkE+3B/7SO/VMi8iEAgDARxWmF/Ku4S9oESCITBYUQUHyF9kH0E4rsQCISB4EqIXSYQfsikx8pwsV2LW3mx+2akx/ZtM6xoISyKohQAFgDIBCClOj47x7Ls+j6VgEAQ4HyLgwu0AYLBRvfu/BZjVk0XJWRyqsGKnV9VY+PCQp5y9ehELQpHGHtM3+LwcYHgofzXfVCG7bdPQZaI8pfXO7gBN5R+zd6TyIybgikje37J6/FT2PppJZZPywJFASwLbP20Ek8tLBSRO9DiCGDrpxVd0lfgqYWFGBUv6hKoaQ1wweud91CGbcumICmm5/QOD9une4jXygUVPE0auaj0xy9aOBEsrvx7TiIrToOizFhR1xhoEvXKsHuUCNb368um4LPKZl5dzJ+YxgXqef3Bdu72+jEiVo2n95/G8QtWLg+ljEZNmxMlBanYcrACbyybgqf+fgqv3lqEI+dakZ2g4xa2Qvk++uF3eGphIdqc3oj8Quc880k5VszI4h373b7TEcfW7DmJTQsLseVAJVYWZyMzToOtn34X0S5+dcMYPL3/NF69dTJaHF40WF3YcqAcE0bEwBNgOBGs0HXX7i3Da7dNxuadx3nHnz1QgUnpRsH2nxlXiOoWF+7d+S12rLiaV6cZJg0XXB261roPy7Dt9ilRbZEtShv/1Q1j8NoX3+Ph3SeRk8C3OWeabIK2YXRS53k0TSFGKcf/fPA17pieJfi11yRD0I4I2cqH3j8R8RyePVCBN5dfxZ1LUeDaRFc7t2JGFrYcqIRSRuPJBQXY/PEZ3jnHay1coHTXOulqn8+3OLDyrW9gVMu5eqIpgGFZ7lmMWTUdAATr+c3lVwn2Y7G2vC/0dRy60rjYJjyuZMYVIi1msEsnjr6OzT1B2gyBMHD0pn/RNIVZ5iSMWTUdjTY3EnRKZJo0PQrSMQyL/acaBMW2zrc4OBGsUP7PHqjAihlZSDGoMK8wFTkJWtRb3EgyKJERp0JmnBpLOwQkQmnWfVCG5dOysPVQJXeNjQsLI3yxR/acxHM3T+CEkaZlx+G21/jX2nIwaJPrrZ6IcXnt3jK8tKQILFju+KJJI7igmfDzNi4sRHmDDT5/AM8sHg+vn4FRIxP0wwMM8Mwn5di4sBBPfHQKdRY3MkwqJOqVqGi0447pWdh1tBaBgCTqPMDrj/TrzrU4Iu7h4d0nkR47BTtLO+Z0Xj/0ShmabG48MGsMvjzfyktTUpAaMX975pNy/PmOq3jPuabVAbmERqXFgaf+foYTB+WV9VAF5o5PxaQMI+cfzp+YxglKcG3w3WP4bclY/GnJJLQ7fIjRyPDnI+dwx/RsFGXECrbbLQeDz/zp/adRlGFEVrwWNE2heHQisuK0aLS50Wz3CopvNIsUBCYMbcrqLBF9UWjeIIZEvVJwriD0heXvGuzY+mkFnphfwAkXh/Jfszc47xnVcW6DNYDnD/H9vucPVWDjgkJkxvXufs+3OBCjkkedz4bKsLajDF0pq7dH+G8ONyPg05XhxSWTYHFGimmFCDDAO1/VcPcFBP9+7uYJyEuNuezCpZc6Xl0qQjapN3M7wpUBw7A43+JAgzX4lY1MkwYmjQI7SoN9Q6eUoCAtBkeqWrhxvdUR4I3HKrkU2z6vQoZprKBNEGpra8J8jvC1k51H6+D2Mdj8cXCNyaiScWtcmXGaCF9q7d7gmkXXdS+ZlObWDsLXyTLjNBifGsMJ4rt9QGVT0O9YPi0rwhaF5of89brOfLra1+8E55jBtdOPVqWK7tNl9VbBueqoeA2MGjknghX6LeQHbj1UiSa7G6MSOvtrNFvXVTCrJ6L53ztWTBUcxyamG4ndIBAIhEvA7YPwezgB35hAIAw9LnTz3iQ1hpSLQCBcOjVtTjL3Ilx2arsZP1JiBrt0hCsZ0vYIhOHNySjr21nxg7tHt8keff/0SJH7pwkEwuBysS1KDMPtUwZ1vypZdyEQhjetdj9GJymwbdkUNNjcSNQpoZAF0Gr3I0Y1eOUi8yICgTAQNNuj+1NZZF5EIAwLarrxEcTEdg8UxHchEAgDwZUQu0wg/JCpt0aff6SbLv26ooWwAOwBYAFwFACJwBwGCAU3Xe7AvkulweoWDP5ttLlFbexqcXhQPCaJp1y9qjgHrQ5xTbfe6hHMv94qLn1DlPQNvUhf3eLC1kOVEccvR3oAaLBFuQfb5SkDCxbr5pi5QHmljMa6OWaAYkWlr4/ShhqsblHpLweZJg02Lx6PJ/edilreJpsbu47W4p7rcvHMJ+Vw+xhIaHDnHr9gxaq3vwEA3Ht9Lm6cOAInL9p47X77kWr88rocGNVyNFjdKK224POqVjx/MChOJZTvuWYHlydFQfAcpsujiHbM4fUDAHYdrcWYRJ1gu/D4ArhzRjZeOnwW41JjQFHA7MJUtDo8aIrSFlscwiIBDbbobe+ua7NBUYDXH8Dzt0zAyre+6ahn4TwaBY4b1XI02TxojJKPq+N+3T4G9RY3Ckd0/lZnEX7OEed1tIfDZxpx54xsrPuwsx+sn5OH0fG6jnsSvp7Qc2i08c8Nb0dCad0+Bg/uOs4FV4ZgWOF0QvY5VL46i5t3jZXF2bx0bJRrRusXXetrIOjrOHSl0R/jymDT17G55+uTNkMgDBS97V80TSHTpOHSAuhxLtSd2FZ3422D1Q2plEbhCCNvbGqytQqmoSj+3y6PX/A8py+ALQeCNjc3QRv1WtHG5XaXF385WgsASDYokahXCp5X3mDD8wf5Y/Thzxrx6Nw8PLKnU0k/5FO6fQwqG22cCNadM7I5kYrQeY124THjs8pmwfJGu4cGqwcX2j04U2/rqDcXdh2txUM/GxuRJpq/WtfuBjOCBU1TYBgWX9e0I14nx1N/P8PVoVBZg8+2c9yIdn2lXMaJZSllNNaWmOHy+UHTVNR2U95gQ3WLCw3WzvZL0xSy4rXIitfiaHWroPhGkn5wv5pL6B/qLG4Y1XLMn5jG2YNdR2svyb9NN6pxd3EOFxSnlNHYMC8P6UZ1xLn1VjeqW1xoFOEPRZvnNIlcCwgn2A/8WFti5uY00eYhjQI+mZD/5ohiN9ucPkhpf9SytDo9uKkonRO+Cdksb4AZtLWy8L4/0AjZpN7M7QjDH4Zhsa+sPkL084axiXhw1lg8ue8UbipK58TyQn2kyeZBabUFpdXf8K7XZPOAYVhe/wmtRYvxOUJrJ6HfGRaI0ylQ0WgDwwIquVTwOulGNTdOhsZeh7fTLoSvk229ZQInggUEbUqo3Ucb2xusHhRlxGLz4vERdRXyL8OvF20taUqW+Dc2ddHWPqxueANMVD9QSJwrmq1rc3oAiO/X0fyYaOta1cP0HQSBQCAMNtH888ZL8L0JBMLlZ6i+Nxmq5SIQCOIh7xwJgwEZPwiDBWl7BMLwput+RKDTbxlMiG0hEIY/A73X81Ih9oVAGN40WN34+UtfRRx/Z8VVg7rmQmwLgUAYCIaqP0UgEMQzVH2EoVouAoEwvCG2hUAY3gzU/KM3QlhpLMvO6lNuhMtGtOCmWeakYRGIkqhXCgb/dg3uiYZeKecCfoBgZ9lysAJvLr9KZP4KwfwT9QpR6ZP6mL6v+UdNrxOXfkDLIDI9wwTFkVbMyALDAjQV/Jthek4LAMlR2lDiEAogp2kKs8xJSI1R4vs2V9Q2f8e0kRiTrMOGeXlQSCVQyGju3GSDEvMnpkFCAyPjNGhzerg6Y1lg+5FqtDm9uNDuwrL/yERKTLBeQtcP/b9rvh4/A6WUwooZWchJ0Ame09WURDumkQeHmjqLGwlR2kWGSY0mmwe/uDoT6z8sg9fPYlFRGi5a3EiK8izjtNHbWLT2f3+HON7L/6zC5sXjsW/1dNRb3ZBQVNQ04ceTDUosvToDt772Je6YniWYRtVxv0oZjSQDv72lxKgE0yR3nBcKGtWrpFDKaEzPTeACxoHOr6aNTtKicIQxqq0Ueg7xYfW162gt1pSME0zLholohQLVw5FQwm1GyD5HK18oj/B0gvUSJX3Xeh0I+joOXWn01aYPBQb6HkibIRAGjt72r0uZC3UXWNLdeBvNt4zXCduc8HFWKaOh6xjzu56nkHT6e91dS0oLj6FJeiXyR8TAnBaD0Yk6VDbaRJWHZYGf5iejzeHBpoWFKG+0IcAEfco6ixtKGY3sBB1WFmcjN1HHCQ+H6mvLwQpsu32KYF4BBpxoQ/hv0XyLJL0CS6/OwLMHOoUcVs/MQbJBGfV+uv5d3mjDuBY9suK1ON/iwEPvn8CzN4/vMR1NASqZhPeb0HmNVhf3xQEAeOFwJZ5aWAigez9IKaOhDhPmCCc/2YD1c/OwJkyIbP3cPOSnGATPJwwv0owqwXadauz9ZwVr2pycCBYQ7IMP7z6JienGiM1ZIb86ViPr0R+K5jMl9GI9ofNaSjTZPHjh8HdcX4k2v0wQ8MmEyqJRCttNo1oGpUy4XwGAnKYF14l2/PfUXt/XcCRBF2mTejO3Iwx/ool+frRqOrc2ddOLR0SP6wk6BfaV1XP+Vcj/OlNvFeVzhNZOQn/nJethdfvw4uEquH0Mtt0+WfA6TXYPNi4sRHmDDSzbOfYKrZMl6BQ8sa5EvYLzIULXE7KHofW6Maumo9HmRoJOWNypv+xlnFYueB2TVi7Yd0O+ipA4V3/Zumh+TLJB+Pg337djy4FKUX43gTDcaKivR2auudtzkpMS8MXhQ5epRIQriWjvSy7F9yYQCJefofreZKiWi0AgiIe8cyQMBmT8IAwWpO0RCMOb+Cj7N+O1ZF5EIBD6Rn/EQQwExL4QCMObobrmQmwLgUAYCIhtIRCGP0O1Hw/VchEIhOENsS0EwvBmoPow3fMpHJ9TFJXfp9wIl41owU3nWxyDXDJxZJo02Lx4PC8wSSi4JxpePyMYyO4LiFNRMqgkWDfHzMt/3RwzDKroQZXh6JQSrJ3NT792thl6pbj0RrUE67vkv36OGUa1uPTeQECw/D4mICo9AJg0Eqyfk9elDHkwacSVIVEnfA+JOnHpfQEWr/zrHEKPjGGBV/51Dr4A233CDhIMcuH8DXJR6S8XNE3B6Q3gxX+cxdqSruXNw8dlF+DxM1j+Rinue/c47n/vGM41OfDQT8cgw6TCkqkZeOWzKmw5UMmJPOWlGkBTQaGBxUVp+PWsMXi3tBabPy7H2SY71s4244NjF7CqOIf7f3i+q4pz8OHxC4jXK7HlQCUe/+hUxDn3Xp+LnAQt79h9N4zGSJOGfw9z8+D0+pBhUuGua7Nhd/si2ubaEjPONdpw11vf4K63vsYd07KwamYOXjxchVVvf4v73zsWUTerinNQ02LH6pmRZU+OEW67Kjlwx/QsJBuUnE1kWGBqVhxoGoJ9lqbBs0WLitK4oPVdR2sj6mXtbDNePnwWShmNR+fmYWyinve8dQop7r0+N6IudUoZFzT6sy3/xK92HsfqmTmQ0BC0ZfUWD74428wFPoZf77F5+TCp5RH14vD6uXPrLG688tlZbJiXzztv9cwc/OXrWi4vpYxGUUYs75z8NEOP9plhWFQ12dFgdeOlJUXIMKki8ghPF83m56cYsGEe/1lumJcHc/LAC0H0dRy60gj2q0ibmhwjzqYPBTQKSvAetIr+Cc4lbYZAGDh6278uZS4U2uQQTmiTQ6ZJg6cX8fNfUzIO5hQ9CqKIEyXqFXh0bld/xIwPj1/g/l49Mwd+f0DQB7E4PZyf8e5XNRH2K+SvZcVrIn2r2Wa0Or148XAVnj9YiYpGG3aWRvotj87N45VnbYkZFQ3tSDao8Nrn1Wixe6CSSfDKZ1WcCNb6OWY8vf80nj9YicpGm6CfYnP7IsbvVcXB8V/IfxoVr8FDPx0TMd5LaHB+V+jazx6ogExCYVSClucHfnDsQkQ9rCrOwbultWiwBr82GxI703WI6AAQLM9vZ5thUsvxxudVnA+662hthN+5cWEBWFB45bNgPb/8zyrcVJQOi8sHQLjdhp7bquKcqHNTuVyCeQUpeHP5Vdh6ywS8ufwqzCtIgTyKcBZheKGUSgTbtVLa++fbnYBfV/JTggJrbx45F9FX1s/JQ6K+M391R1/var/U8t4sIQbJNGlgcXm5r3M8f1B4frl+jhkJAmsFBlWkD6pR0ALzPTP8gQA8Pn/UsrS5vIL11eby9vq+hiMSGhF2zKSRY+OCAuK//kDozmaE1qaEfmfZgKBNUMlpzr9iGBYnLrTjdL0VKrkE91yXG2Fnwn2O9XPysO3zKu7vDfPyUNPqwJq9nULgu7+ujfClVs/MgVYhxRMfncLzByux9VAlqltc8PkZbFxYgAdnjca91+dCSgPvltZiyatfYl9ZPRgmuJZoUEkwLlmPR0rGCa6HrZ+Th/yk4DoOTVPIitdialYcsuK1gqJOASYQsV61tsSMACt+/RUIiq4LreMmG5SC/sSGeXm4YVwibhibGFGu/rJ10fxvc3LkmtDqmUGfK5TXcHoHQSCIIcCymHrfy93+V1ffONjFJAxTfFHe5fkDvRtLCATC4JBmFH5vkmYc3DWc1CjlSh3kchEIBPGQd46EwWCojmuEKx/S9giE4Y1cSguubShkvX+v2J/Ea4VtS7yW2BYCYbigVwnvW9CrB9e+EN+FQBjeZJo0eP6WCVg1Mxsri7OxemY2nr9lwqCvuRDbQiAQBgIyLyIQhj9Ce6jX9yK+faAgvguBQBgIkgzCtiXJQGwLgTAcSNAJ63oIxYn1BmnPp3BMA3AbRVHnAHgAUABYlmUL+lQCwoDQXXBTVrx2kEolHpqmMMuchDGrpqPR5uYC0MV+Sb6vav3nml3Yd6IOf1oyCe1OH2LUMrz+2TnEqGQYnRTTY/qLFjckYLFpYSEcXj80cimcHh/qLG6MSe45/zZnAFs/rcTyaVmgKIBlga2fVuKphYWiyi+XSHDgFL/8fz5yDsunZYtKDwDft3mQHivHtmVT0GBzI1GnBMP6UdvmwaiEntNftPgF72FEbAEy4npO7w0EcFNROrYcDAYJhwLHfSIDAOraPfhEoA5Gxmkwwji0+kCiXonyRjve/rIaGxcWwhVqM14fCtLj8ECHwBUQ7MfPfFKOlddm43fzC7Ds9a94v23+uBx/uGUiXjxcxdXbPdflcr+DpfD2v6tx/w1jIJfR2LigEDaPD6/cWoTyehuyE3SweXyYOz4VF9tdUMqCoknbj1Rj+bQsSGggO0GHJz46hWduKsSKGVlg2ODzfeWzc0iNUeBPSyahweLGyDgNClNjUGdzQSqR4KH3T2Crj0FRhgEvLilCg9UNhUyCbZ9X4aqseK6MTXYPV34AqG5x4YXDldi4sBDlDTawLLCjtAa/m1+AcSlSTMow4nBFM1gW2H6kGhMzYlBe34bXl01BU0fb3V92AQ/sOs61o+1HqlFncaPR5kamSYMmmxdv/7uz/lVyKV4+fBZ3F+fwbFF4YGh4vYxJ0gbtjpTGL6ZmQCmXYtvnVdAopJhlTuJsV7PDA4WE5uqNpgCFhEazwwMW4EQ76ixubPuiGr/5z7GCtqyszoItByqhlNH4/U3j8eHKaWh2eJCgU6LR6saDfynn9b0dpTXYMC8fs8wJGH33dNS0OqCWS5FkUOCvd09Hk92NeK0S51rsaHN6uXw2Lx6PH2WZ8FEXWwwgqn0OCXqF7kUpo/HkggKkxihhVCsgoYEJ6TER6aLZ/HmFqchJ0KLe4kaSQQlzsgFS6cC/zO7rOHSlUdcewM7SGl4f2fZ5FTLjxmKEcbBLJw6bm0Fdmx1vLJvCPdMjlQ0YEavul+uTNkMgDBy97V+XMhcKBZaEj1+hwBKapvCTcYnQLSlCaXUrAgzwp8Nn8cBPxkYdk+xuP1xeP2/MT49VYe74VM532vZFNRYVpWHPtxd44/YL/6jE/TeMwe8PnuWOq+QUtt0+BU02D+K1CrS7fXh0bh7aHR7sO1GHjQsLwbIsKIpCu8OD1e90CkkwLNDm9HJ+C0UFy+Py+lFSkNqZ7+FKPLmgEF+cbUab04tdX9di1XU5wTmNx49WpxcKGY3/mpIOg1oOtVwq6Kccq7XApJZj9cwcpMSokGJQ4r73jqHOEhTn2X6kGitmZCEnQQcWwLbPq/Cb/xyHP/5iEr6paUOAAZ47WIF7rxst+BxrWl14ev8Z3Dw5HU8tLITT44fD64c5Wc/zTbcfqUab0wtfgAXDsNwc0eEJYFVxDrYcrECdxY0dpTXYvHg8WJbFd3U2tLu8ePvLGpQUpMLHBPCnJZPQaPVgVLwGb91xFRptHiQblPAFWDzw3nGeL77lYAW23z6F125TV0zFPyuakW7S4GK7EyUFqdhRWoNZeUlR27xcLkFRZmzU3wnDlya7R7BdN9k9yE7UdZuWYVicb3GgwepGol6JBJ34dQ+plEaaUYE7pmWjptWOV2+bjCabh5snp8RkIcMUPLfNJTyXf2xe77XxGYaFUibhlTPU715cMgl1FnenX2kai8wuawXVrW4o5TReXDIJbU4fjGoZAGDrpxUR5bt5cjqmdNNvotkstaw3S6PDl9AcM7ze/viPKjz38/ER8z3iv16ZJET5KrtKKuGNk11/Z1hacC64umOcbnF4cLrexvOhfj1rDFZemw23n8G0bBNe/ewsfnXDGC79h8e+x+qZo/Hv861gWaDV7oHVwxfiSjZq8PF3F/HS0iLY3D5oFFKAZbFmbxnnU4TKmGRQod3l54QGw9d+7t35Lcasmo6seC0UUilsHj9ePHwWJQWp0KukeGPZFDTbPYjXKZCfpIdKJYuwt9H6hYSWYNfXkXXzwKyxvXo2/gDwhy529w+fVqIoYwrnT4y+ezpO1VtR3mDD0/vL0eb0YvPi8bw1J6D/bF13/nf4cQoUfrnjW94zGU7vIAgEAmGwkUskeFdgnO3tWEIgEAaH2tYo701MY5ESM3jlutAW/X1O6iCWi0AgiIe8cyQMBrXdjB+DOa4RrnxI2yMQhje+ACu4vv30ovGDWq4mewBSKsDb+1zbakWTPYCR8YNaNAKBIBK7mxH0EUbGDe7aKfFdCIThj9fP8uJsNi8eP9hFIraFQCAMCE226O+xyLyIQBgeWFwB+P1e3vpGZUMbLM7B/bga8V0IBMJAUG+JblvSSWgVgTDkqW3zYWdpdUQfTokZHREn1ht6EwHx00vPhnC56asQ1FCApilkxWsvKWhGQgMP/XQMmh1eMCwgoQCTRg6JSO2UZIMKX5xrxaHyZu6YUkbjl9fnikqvkkmx5oNvIur/tdsmi0rfZPOgusWFrYcqI46LQSmjMXNsMv5n+1FukXbdHDNUcvHiMRq5FEte/TLiHkKB3T3R6vAK3kOrwysqvVou5USwgM7A8teXiatDi8uH/d81Y/93zbzji4oyRKW/nGSaNNgwLw8P7z6JVW9/wwvY++XMHMFAaW+AgcXlE/zt29r2COGs5dOy8MpnVVArpDh+wYqVb3+DJxfk43itBbFqGd744jxuKkrHV9Wt3OJ+skHJEwl45bMqrCrOwRMfneoUS5JKeGJlS6ZmYM2ek7jr2hwk6BWQSmkEGOCh909wZSqttmDF9lKuTKF7DcGw4M5NNigxf2IaJ9iw62gt2pxerCrOgdvnx9Wj4lDVZMfL/+wUzmq2e/HXk01QyBVIN6rwr8Zm/PVkE1cfWw5WcHkn6JQ43+KARi5FeaMdq97+hiuHUkYjRi3j2aKqJntEEPcrn1XhqYWFaLR58NTfT6O6xcVd4+TFzoBLAKBA4Yl9pyP61ZvLr4oQ7aizuPHYX0/h0bl5eGTPSa6OV8/MwbYvqrn7+eWOb/HikiJMy44DTVNosrlx8+R0XgDo6pk5kEso0DSFUQlajErg29XQ3yPjNPhrmFBWol4R1RZHs8/nWxxcAGyojA/uOo6PwuohMy4yXbR8pFIahSOMKBwRkWTA6cs4dKXRYPWgtNqC0upveMcbreLGpaGAXELDqFXhX2ebwbBAZaMdJq0KCrHOgQhImyEQBo7e9K9LmQv1FFhS0+bEI3tOcMJRswtTsfHvpzA2WRdRJoZh0eLw4vG/ne7iq2VjywG+b8ywEPSZaTooXrX1UFD4cm2JGYl6FjWtTvzq3WO8MX5KlgkPvHcMy6dlYeuhSqwszublu+toLefTha63YV4+nt5/hidaAADVLQ7sLA2e7/YHsPKtyDnNxoWFoABs2n+au25X0Yk2pxfLp2XhwV3H8dptRTyB2zanF0qpBI9/dIrL3+r243/fPMrLq6rZLvgcNXIJqltceHLfGV7Z37tzKkbFa/HgruO88jyy5wReu20KJ3amVUiwo7SGtxn3yX2nsGlhIe566xskG5RYMjUDWw5WIDdBixUzRkEpo8ECyE82QJ4RVCM/eKpB0Be3e/y8dpWfGoML7W5BkbVoiBXgIAw/NNEESuTdq9wLic0+f8uEqAJ+XTnf4sDtrx/FlpvH4773Tkb8vnBS5zzZ6fUL2iWnp/cvTsvqLDhdZxVcnym7aOX14waB9Y4YlQxL3+bboVUzswXLF69TgAEbtSztTp+gzWp3+3p9X8ORRL2SG1dCKGU0YjUK4r/+QHD5A1g9MydCLGrVjm/w4KyxuGFsoqBNsbv9gnNBlzcApYwGBSpiDeCJfae5dZf8VL3g+tyc8SPw/MGgXxIak8PtI0UhIl2yQYl7r8/lrZFsXjweEhrY+PdT3HWAoCD4/Ilp2HqokhNlarF78fDuYNpQX1DKaPx5+VWY1CGkJ2RvhQSnAMDu8WFWXgonYK+U0bjvhtFwhPkCPcEwLGpaHYJ2rdHmxqgELWiaAkUB9717jGcPw0W+QvSnrYvmf3ddJwutEYYYbu8gCAQCYTBpd/kEx1mr64fhoxIIw50mu/B7kyb74L43uRLe5xAIBPLOkXD5IeMHYbAgbY9AGN4024X3OTcP8ryoyebBUx9XcftOzzTYsetoLR7+TyI+TiAMF1odwmunbc7BXTslvguBMLwRinEQeu9+uSG2hUAgDARD9T0WgUAQj9Xlw0N7zkQcf3nppEEoTSfEdyEQCANBky2K7yJSU4NAIAwudo9wzInjEuLQwulRCIuiKD3LslYAtj7lRLishIJ8exNseyXRZPfA5WN4av33XJeLJrtHUIClK+ZkPSdMFEq/YV4ezMkGUfk7PH7BoGixgVCxGrlgcGysRi4qfbPdA5WUwotLJqHN6YNRLUO7w9OrF8zNDq/gPbSIFLKK1ykE7yFeqxCV3u4WrkO7W1wd6pUywfz1Spmo9JcTmqYwwqjCihlZYNhgMH5IQECtEA6Uzk8xwKAWvscAv9rg9jGQ0MDqmTmobXNy59W0uvDKZ1X43fwClBSkYsvBCtwxPYsn8rT9SDWWT8tCbqIWZ5vsXLlWFeeAAjgRAYWURmacBvXtTvxufgGe+OgU1uw5ic2Lx8Oolgk+y/RYFZ5aWIhN+0/zRBgkHcGPRrWcEyEI9cNHSsbB6vLhna9qsOXmCQAi7Z1JI8PSqzMigju3H6lGnSUoNqUKs4n/PteCVodHMFCwrUvAiZBtXT0zB493iIOF5xO6z1DAJQC0RelXbQ4vRiVoI55nm9OLogwj3lx+FQ5XNCEnQccTjQilL61uRZpRxdl4jVzCtSeaCv4tEyn2c6bBJirgMxpdBb2E6oEw/EiIYtPjdOJs+lCg1ekV9A3aXOLGNQKBMHy41LmQUGBJSJDofIudJ+YU8hVaHZ6I8/eV1SPAsBHjIcMiwpZKqMhjShkNuYTmCTW9cLgSG+bmc/4NEBxfnz1QgU0LC3lCmaFrhPt0O0prsGlhIU432EBTQLJBIShaoJZL0eb0divIWt5gw66jtVgyNQM7Smvw1MJCnGmwcT5syE+hqOD5zXYf5zOmx6pwod3FO08po+H2BiLy2llaGyEIurbEjJpWh2CdGdUKsACv3kL5hPyQWeYkfHK6AUumZmLT/jM80YqQ3xeqrxd+MRENVg/uCxO3WD83D/MKUiCXS6CJ4qer5fxllp5E1rrSGwEOwvDDE4gUolk9MwferpO4LghtxFr51jfYt3o6PhLRtkI+uiqKEJcqTIhLrxQ+R6fqXqxLiDqLGwwg6INRYcVUymgkCviVVgHxZyFbqpTRqLe4oelGUMykkeOxLiJ4O0prBv2L1JeLH/o6IQGobXNh2xfBr2xUNtoQYDrHyXt3fouPVk0XHK/+fb5ZsM9pFRKsnhn0hYT8BQkNbF48HupuBACVMhprSsbhT4fPwutneesyQj5Sm9OLWI0M226fggDDcmKRR2taBf00muaLMjXYoq9XhOjNxtdEvRK1rS7e+otcQsGolqOqyd6jkGVozGdYtkeRRLFrLZfb1hHbQiAQCH1DIaWF1wSk/SfcTyAQBo44rfD7/DituPf5A0WiXvh9ToJ++LzPIRAIBMLlh4wfhMGCtD0CYXiTbFAJ9uFkw+B+LCFBr4jYP7p6Zg6xLQTCMEIpE147VcoGd+2U+C4EwvBmqMY4ENtCIBAGgqH6HotAIIhHPkT3lBDfhUAgDATEdyEQhje6KDGWGkXv49DC6VEIC8BbAEoAHAXAAgiP3mABZPWpBIQBobfBtlcaFCg880k5L2jpmU/K8ebyq0Sll0ppXD8uHumxU9Bg9SBRr8DoJA2kIicKepUMN4yLw39NHYk2hw+xGhnePHIOepU4ESa1XIL1c81Ys6csLOjazAuA6g6dQoZ9Jy5i3sR0UABkEhqfVTZhUVGGqPTBa0hRlGHA0h9lweXxQ62Q4o3Pq6BViDEbgEJCY+1sM9Z90HkPa2eboehFHQoKWYmsw0S9Ag/9dAyaHV4wbFBkwKSRI3EITqoYhoWEppEeq8b3rU7sPFqLNqcXa2eb8cbnVRECTWtKxoEBi5f/WYmHfjoGj//tNPfbujlm/OFT/he2lDIauQk6tLu82HroLHcNq9uHO6Znod7igoQGjGo5RifqsGpmNhgW2HW0FnUWN175rAoP/GQ0shN0+OXMHK4tTM2KxYZ5ZkhpCZpsHsRr5UjQSVFRb8eSqzNh0sjhZ1leMEeyQYmlV2dghFENFkCz3Y1fXZ+LB3ad4O5h8sgYZJjycb7Fwd03EOzHj374HTYtLMT9N4zhhOlomsINYxOxY8VU1FnckNI03vmqM+gPCAb9zZ+Yhq2HKqGU0ZiSGYuizFjQNIVEvRItDi++/b4Ff1oyiddnizKM+OJsMxL1SqQb1ahpcyJeJ8eOFVPR6vDidH1QI3LBpLSIfEJ1r5JJwDAsaJqKKnJn1MiRZlDhtdsmo6bVCbU8WMe3TxuFZJ0STTYPsuK0iNPKBUUrAgy4wM1j37cjK16NnERd8LnoFHB4vD0K6TEMixMX2nG63oo7pmdxz79rwGdIEKTB6uaCTsPHlkS9UnhBQ3dpG1x6yo9wedAoJHjixnz8+v3OvvrEjfnQihyXxOL3Myirs6DO4kayQQVzsl702NsTeqUMb31ZzbMNb31ZjacWFvbL9QkEwtCh61woTqOA2x/A/u/qe2VbwgWJnlpYGOGXbDlYge23T8G+k3XcdWvanHhy3yn85mdjI8bDD45dwG9nm/HbMP84O0GHx2/Mx0Nh9vXe63Ph9PpQUpAIqyuARpsH1+QWwuX1w6iWc18tVclo0BQFFsDEDCNiVVJ8b/HgyNkmrJ9jxpq9nfnceU02atuDgqjvltZiz7cXsHlxIRgGcPsDSNApYHP70WRz457rcvHWl9WI0cg5vxAI+oZtTi/GJOqwYFIapDTw8M/GQSqhcORsE5b+KIvnK7IdYjUKKY3/9+NsrN1bBqNajnuuy8ZvfjYWDo8f8Xo5NHIpvH5GUOwiN0GLbbdPQYPVDZNWgcoGOxzeQIQP/NiN+ZBJgTiNAhI6KJQTsvVKGQ0KFKqa7EgzqBCjlMGikuHFJZNQb3XBoFIgEGDAMCzu/0kudpZ+j7uLs6GSSXGhvZ3nF63ZcxJZcRoUZcZC0yEA0nXzrNAijZDIWjjh41+8VoEn950acl+eI/QPrXYvvqzizzte++wcRsVFCvCF+7/RNmLVWdxQyyVod/qgkkm5eUdXEvVKFGUYoJDQePzGfMilNGrbnHB5AzBp5JBLOtMopBJsmGeGUiqFw+OHRimF2+eHQtp7vy/ZoALLAvd0EZV55pNyvLFsCn5/03jEamQIMAySYiLn6kZ15Pzpg2MX8Ni8fPxmd6fdfPzGfBw524gpmbFRyxKvl3O2KHz+nKAfnJcjfj+D0/XWDrHWAFIMKoxN6j/ftys/9HVCQrA/yqUUKPDHSSDYL6tbHEgzqGBz+3g2RSGR4OH/HItGm4dbXwuK30vwZVULJqTHCK4BzMiJx/i0GBytaRVcn1PJaKyYkQUpDfxyZi5+/f4J7DtZh00LC8GwLFJjlLhqpBEURXNrGwzLwOX1Q0JTCIQcFAByCS3op21aWMgTZYrTKlCUYcDt/5EFb4BFrEaGmhYHEvWd6xUNVjfP3wKCPlCLw8P9HrLNbi+DvccuRKydZidocfNLR3hClkJz3ZDf+NDPxuGRknF49MPveEJevjCRRKG1lgyTCiqZhFu3yjRpLout63ov141OECXKKOZa/bkGQCAQCMMBtVyC9XPGQS2Xcb630+PjCdUSCIShi1wSfN+6PsyPW1MyDnKRH6YZyHKtm2OO8AkHu1wEAoFAGNqQ8YMwWMglNH47exx++0GnT/Xb2YPvUxEIBHGYk/XYuLAAlY127h3AqASt6A8ODxQUKBw4VY+NCwt56/eTu3mXSCAQhhZahVTQRxAbwzBQEL+ZQBjeJOqVeGPZeKhkSjTYgu/+XV73Jcc49BfEthAIhIFALgnuR9/8cTlvf7qM2BYCYdigVUjxxu2TQLESzndhEYCMJvMiAoFw5UFsC4EwvJHJKMEYS7m0b/FKPXo9LMuWdPx/ZJ9yIlx2egq2vZKxOL2CQaIWlzdKCj42lxt/P9mENXtPdgpRzcnDT/PioVOJWOikGFw3Nhn/s/1oWHozKIrpOS0Ak46CskWCFTOywLAATQFKqQQmnbgOP8IoQVFmPG5//Ste+UcYxW+eT9LLsKgoHQ+8d4znOCTpxQlR1ba7sP9kHf60ZBLaHT7EaGR4/bNz0CulKEw39pjeF/BjbYkZ6z4ME9IqMcMXCIjKPy1GDbVCihfDAuQ3zMtDWoxaVPrLRbjAQqicj5SMg8PtgwQslk8bBQos/viLiWiyeqCSS1HX7oQ/wGBadgJYFrx2IpfSuGNaFh776BTvehfbnUiOUeF/fzwK8VoFfrfvFKpbXFDKaPx61hiYU/RQySS4P+x5ryrOwY7SGtxdnAO5hOa1hfVzzJBLWFS2e7l+kmFSYeW1OXjsb6d4A1W7RoYN8/Lw3MEK3P6jkXD6Argv7Fob5uXhxSUTYfcEkKSXo7LRha2fVuD/XZMt2I/LG20YYVTD5wtAKqXBMCz2n2rg6nDDXDNuKkrniYetKs4BTYP7t9Xj44LyMk0atDhcAn02D/vLLuDlf32PDJMKdxfn4OHdnTbh8RvzoZZJ8MS+07x8VB1fHAr9veqdb/DgrLGYZU6Cn2EihM1WFedARgN7T1zkXf/RuXn4cbYJe0/WYc2ezjruKmwRek4LJqaiweoG2ABaHQGsfJvf/+M10fuuUDtcVZyD7UeqUWdxc186ETovPLAzVJ+bF4+POCcUeNrX/tE1P8LlIVYDSGiKZ28kNIXYfnQx/H4Gu49d4PWDDfPyMK8wtV8CYZ1en6BtcHr9/VB6AoEw1AjNhdKN6ku2LedbHNwYdK7ZIeiX/PtcKzbtL+eumxWnwU1F6Xjso1MRY/6d12Tj4Ok6bF48HqfrrZBLaLQ5PHjlX+ewfFoWJDQwNkmPeJ0Udg+D47VW3iLeUwsLsew/MnkvJVfPzMHjH50KiqiWmHHkbBMWFaXDoJbxbLbPH8Abn1ejzenFquIcVDZYYXcHePOdkE9x149H4YGfjEF1iwMvHq7i5ZVsUOKp/ac5P/LRuXlINymwWGDecOBUHVYV5+Cxj77Dr27IxRvLpsDp86HZ5sN97x2DUS3nvsJqVMuxemYO3vmqBiUFqZDQQFFGLOptbjz+0SncVJSO+987zvOTXr+tCJ9XtSLAAFsOlOOhn42F3R2IKHOSQYnH/vod5FIKiydncH5VqJwWpwdr9nZunHvixnzQNHDra19G9YsAgGFZpMQoefWcEqMEw7JCzSkqQuNfeH6htjbYX54j9A9JMQr8Z2EKb96xdrYZJl3QV4/m/45O1AkKzbh9ASwLm/dHs28pOiVumpyBpV3a9e5vL2DltTkwaTqXB10+H3wB4OHdx3hldPt8vb7f3DgNvm9zCtrPY7XtePyj09x85aqMSJEWhRRYPyePZ6se+tlYAMAzi8fjVL0VAQZ49kA5Vl6bA6kk+prLhTY3Tl9sx+vLpqCpQ6xl34kLyDCpkd6fTq0I/H4GfyurQ22bi7fQ+9iN+ZhbkDKgYlg/1HVCQrA//ur60ahoDAp6SyjgzhlZeOFwFdqcXpxrdqDJ7uWNkxvm5SFRJ4fDwx9f77kuF9/VWXFDXjIe3HVccJ3jV+9+iwdnjUVWvAoqOX997tG5edCrZIjTyAEWcHj9uPe6HGiUMm696J7ikUg26iLWZo0aGf7r5X/zbGSMSiZoZzQKCa7JTeDWD1gEsKgoHfe+y7dvTXYP/H4GUinNCbiH9817r89Fg9WDJa982SVfCRZM5PtAa0vM8AYYnpBlNH80N1GLm4rSsfqdb2BUy7FiRhbSjWrUW93YUVqDWXlJ3P10XWsJrVPd9OIRXpnidfIBtXXdzdt7a1sGeg2AQCAQhgNKOQ2A5r0vWT8nj3vHQCAQhjZyGaBV8N/naxUSyMW9Sh8wNAqKE54NlUslo6FRkPdqBAKBQIgOGT8Ig4VKHhQJDm97arkEKvKBbwJhWMAwLLx+hvcOYcO8PDBM796Z9zf+gF9w/d4fIHvECIThgk5JQy2XdvERpNApB3ftlPjNBMLwJlYrRel5Bmv2fsl7L1OYPrhiEsS2EAiEgcDh9UEh4dsWhYSG09v7faAEAmFwMKhoHK32ROyhnCSw3/pyQnwXAoEwEGiVtKBt0Q7yWhCBQBCHXiFFvE6OTQsL4fD6oZFL4fb7oVP2bc2lx9QURU3s7neWZb/uUwkIhAFAp5IJBonqlOJ2np6qd3CTBCAYPLVm70lkxk3BlJEihLBYmhOq6Uxfhm23TxGV/8W2AB7YdTyi/Ntun4K0mJ7T17QFsPXTCiyflgWqYw6x9dMKZMYVIklEegBodQa4wPvQPaztxT2kGJS4wZyIo9Vtwa89NQM3mBORbBD3xQQZLcULh8u4e2BZ4IXDlXhqQaGo9DVtTi6QKlT+h3efxMR045AK+gwXWACC5Xz0w+/wzOLx+N2+UygpSEVhmgGn62wRSoj5qQbcsa00op3cd0MuNi4sRGWjDQEGeP5gJeosbihlNDYuLMQ9XfJ7Yt9pbF8+hbt+6PiO0ho8taAQrU4vTtVZYVTLUWdxd7bnZVN4/aSkIBWP7OHX+bMHKrBiRha0cgmeXjQehyuauI0PoXMe3n0SbyybgrKLNpg0Cu6a37e7BPtxgAEe2XMSGSY1pow0oabVgdP1VtwxPQsAkG5SY0VHYHkojy0HK/DKrUVYPi0LO0prsOWmCdw1aZoCK9hnT+LFJZPw8r++R0lBakR7euj9E1gxIyuyzhYW4skF+VDLpXjp8FlUt7i44EcJTWNHaQ2vXe8orUFRpjHi+qF7XBNWp9UtLmz9tBJvLJuCf51tRoAJpn9w1lhOaEqSHscFuIffS9B+KUS3wy0Hgzbklc+quC+dCJ0XurdQv6JpCrPMSRizajoaO4IuM02aSxKuEpMf4fJQ2824lBLTP3mU1VkE7XZOghaFI3oWUOwJtVzGBWeHrr/lYIXocU0MDMPifIsDDdag2v6ltn0CgdB/9MW2NFjdXDpvgBH0S1xdrrvt9inYURoUc/IzLJ5aWIi6didSYtR48fBZ3PnjbG5su+vabDx/KCgKsfVQJXfNbbdPAU2xEb54RaMtwo969kBwvN56qBLrPizDxoWFeOC9Y1gxIwtbDlTyyho6b8vBCrx222ROPCd0rdDYX9vuBuAWzOuBn4xGdYuLO/bInpN4fdmUCD9q7d4yvHrbZPxq5zHEa+VweBjc+t6X2LiwkPMX509M4/zPOosbfztRhxUzRuHRDztFqVbPzMHNk9Mj/NRH9pzEy0uLEGAAigJmF6aCZYDf7D4RUebVM3MwPTcBo5N03EbX8HJuWljIO/ZrAR8v3C+K1wb9KY+PweaPy1FSkAqKAgIMsPnjcmxa2DlfETMuCLXRUH7h7WKwvzxH6DsMw6LN4Y943us+KMOby68CEPR/n9x3ijeXf3LfKbyxbEqE2OwTN+bjtx/w+140+3ay3hoxVwu1s0f2nOT5QzKJFOs++DqijJfiM5U1BAV3hOxnkkHFXT84XwnO78Jx+lje2gbLAmqZFF9Vt/JsFICI++hKSowSuckxuC1MDGztbLPoNYr+pKzOgopGe4Sd/c37J5Adr+kX35dA6MqZJjsutLt4wSgP/XQM1paMg93rR5JeGTGOhnybZz4p5x1/5pNy/GnJJE7Ub/uRak7UMztBhyc+OoU6ixv37vwW226fEmF/HtlzEi8tLUJukh6NNjcuNNrx/9k78/AoqnT/f6u6u7p6T6ezkpCEkISls7AERH+AmqjDeMOiLOrMwIh4mblXJoyMy50ZgWEZHR3FK+KM4g7ecUBxAUYZFXTAERdQtrAlBIIJ2Zfe96rfH50uutLV0JCEJHg+z+Mjqa5z6lTVOe95z1v1fksho7Gm0wcAgAk5yYIoZajcsq1HIubtJZsPYNPCayXtTGaXeZeCLMK/WrEt6AtU1FtQNNjYKa4n9jvWfHwywjcInVtIwF+ob3swXhb6u8nmhs3tk/RHN9wzXlij1lvcWLuzCmznQ9zwOA8QGWtRKWSCCFZ4mzb/YkKv2rqeXLf3dgyAQCAQBgJODyf5LLIn45UEAqH3cHh4PLTlcIQf2tdjuN0Z6JftIhAIBEL/hswfhL7C4uJI3yMQBjCHzknHebNMGhRnxfdZu2haJh2/J7aFQBgwBP1T6fdV+xLiNxMIA5uT3c0R6yWIbSEQCL0BI5fjsR3HiW0hEAYwrY5A1HdKhvZhu4jvQiAQegNiWwiEgY3HzyPAQfRR2BXTzPD6u/fhlFhktJ66wG88gJJutYBA6AXanT6Ul+QKyUSsgkZ5SS7anbEpVzdaPaIJEwguFhqtnpjLG9UMbh+TLiSvbtlf2+3yTTGWb3f6cEdxxmWff6gN3bkGPHh0uPyiBLvFpbkImo2L02z3INukwfghRrQ7fIjXKHC0rgPN9livoVuy/U02d78S0InWTofXj9/cMgznOlyI08gx2K/GiqlmqJVBcaVndlbi6TmjJMvGqRmc63DirX21uH1MOmaOTQcQ7EMurz/qfQ3fnmpgcUdxhiCoFOpDG7+sEcSwGm1uUT8dHKeSrJvjAasngBa7BxwPyX3aHF5QFNBkO389tuyvlRzHG7+sEdrs93M43eoU6tp2sA7DkrWSx6i3uPHy59VYPSMf5kGGLvdBur9bXMExQ1HS7U7QMlh712i4PH7oVXLYXD7Me0V8zZrtXtRb3GiyuUEBWPD/hqDF4QXHA3I6+HeTLfp467q9ptWFZpsH04vS0Gx3Y+aYNEFUIcukQcU56yXbn2j9UEYDa+aMEpIvYx1XNE0hO1Hb7bE2UMbxD4FGqwfXDonH3ROHCDb51c9PxzwnxELItoQTGrtFg7tff7Ndepy1xDivXAyO47GjokEkULFmzihMMacQMSwCoQ+JZlsaYrAtyXpWEFW4kF8SXq/FJe2HO31+3Dt5KHwBDvdOysaW/bVR/YtGqwdqJihg6vL4Bf8vmh8Vmu/dPg40AKOaQdcPrHbdr8XuFepKNbCC3zAsWYe6DifsnoDksfSsAqkGFvUWt7At3H8L37eu3YV6ixu/vXWEIEDl8vgFPyXDqMK9k7JRUduB28YOBsfxkMso5CVpcajOCrcvKGT18s+LBcHTLftrhXva7vRCRiMouksBHPgofnUAFAW4PH7Jc1Yzsohzkrp+MhooL8kFOq9jk80TFCn9tEq0b5MtOK/EOi9E66Oyzg8XhMqFi2EQBiZnWh349mz7Bf2RVodH0oZ0OL1g5JT4a6dKuSBMF16XlH0LH6eFaXrcO3koXB4/UuNY7DmpRbPtvD/UFMXva7Jdus/UYHWjtt0paT95jsOikhwA0dcrTdbIcZaXPCqqPbyQb9rh8GHFtkgBnE3/OQGZpqjFeoV6izvqOcQyPxEIl4PV7RMJPBnVDBzeAH4dNk+Fx32A8/ZJyiY0h8Ux6i1uYZwuKskRlY8Wb/nqdBte2lONpWUj8e+qZvx0QhbykrSCfeJ4XvAJwsu5fIGIuryBAFbPyBeSbUJfnM8wqkX7RmuLw+tHg9WDAo6P6tdI+QZRY6ed9jIkZHmy0SYd24hSvmCQAaUjkiPWkeGxlr2nWqSPbfH0qq3rjm/dm3URCATCQCXaXHA5vjeBQLjyXInnJldTuwgEAoHQvyHzB6GvIH2PQBjYNER5t6/B6u6jFgVpsnpwV3EaflSQhubOD3nuOFxHYi4EwgCiuzkMvQXxXQiEgQ2xLQQC4YdEi90jehcr9C56T+XOEAiE3qfRKj2O+9pHIL4LgUDoDYhtIRAGNh0uX8QHy5dvrcALc8d2q96LCmHxPH9jt45AIPQBRrUCm/adxYKJ2aAogOeBTfvO4s8zi2Iqn6xXCknvIVgFjWS9Mqbyg40s5l2bKSSYhUSg0uNi+1JAWpx0+UExljeqFdh1vEGUPP/6F9UozhoRU3kgeA0yTSqUFaYJSfPbDtbFfA2cXk6UYBdKZH9pXnFM5TNNakwpSMUvNu4XrsGKaWZkmtQXLwyxcEGIUAJafyJaO8+2OTEiRY9PjjYgXq0UFJxZBY3lZWa8+XUNtKxc8h6dbXNiYk4CeB4RfShOzUgeb5CBRXlpjpDYx8ppIVEZCN6/tbsqsbg0F3ZPADI6KCBw341Dsfofx+D2cVhcmiPUHRIXkNFAXrIO59qdSDWocKzeKnn8Yw1WpOhZDDKohN/rLW5s/LIGCydnIy9ZB44HznU4MXNsOrYdrENaHIt/HKnHw51f/QklbSpktOQx0uJU2LRwAkYk63G23YlGqxvJehZZJk30MR/WX7r+XpxpgFIuE4QdWAWN5VPNIvGGtbsqsWBiNl7+vBpJOhZn2+xw+TiRQNz9N+UhQSt9X6KNwyS9EkOTtBiapAXH8TjT6hDOJ5r9SLuA/YjWD0uHJ6EgLU5IvrzS42qgjOMfAtkJatwxfjBsLj88vgCsbgp3jB+MwcbYbHIsJGqlx2GCNrZ557Lr1/RM/WdaHYLYCRC0m0s2H8Dw8klEuI1A6ENSw3yLEKyCRorh4nNJlkmDNXNGYcnmA6i3uLFp31msmTMKVU12DEnQ4MmPjgtCD6F6DSqFpA/115+NxX+9sV/ks9B0pH/BKmhkxKtwotGOZe+L/b8AFwCroEWClzIKGDnIgEUlOdh2sA4nm2yYd20mZF3091gFDZ4//+8knVKoa+6ETJFAzaO35SPTJJdsW7Pdg9vHpAtiF6yCjmpfNYwMAETiVxpWjuVTR+KxD4+hptWF4kwDZhdniP2pMjPwdY3gT311ug3rdlUJvpbF5cWbX5+FQkaLfKrlU83INKlEwkCsggZNAQEuKBoU7ZzDhT9CZbpev5wkHZ766Dim5KcAAFKi+CnJ+mDfOtPqwOM7jglrUgB4fMcxDE/RieaFaH10cm4irhtqQpKOFURPCQObRmtQ/Ejqfqd22iRGJr0OGz/kGiz623eicut+Mjpm+5asC/bXvCQt5v+/IahqsgXXVxYX5k8cggyjStg3K0F6LZ4V41o8nFQ9i9o2p2R8ZvqoNGFsL7k5T3K9kiSxTkvSKVHdbL/keEW91S0pGFxvdSO2SFHPcaG1cSzzE4FwOXh8nKi/3T4mPSJuF4phhM/zQ6LYhLQ46fmfDxOMYhU0UqLEW1h5cNuq7UexZs4oOD1e3HVNpsgneOz2ArTaPehw+QFIj3NWQYOR0Xi2s+0hO/PsrkqMyTCK5txoMRYNI0fFOQsCHI9hyTrJ9kr5BtFiSQaVXCRkaXP7pWMbUcrHqRUXvpmIHi9hGVmv2rru+Na9WReBQCAMVKLNBUm6nolXEgiE3uVKPDe5mtpFIBAIhP4NmT8IfQXpewTCwCb03kF/i23kJqvh9Mbh7rCPwK6cZkZuErEtBMJAIVmvRHGmAfOuyxblQST3sX0hvguBMLDpbo5Yb0FsC4FA6A3S4lSYP/H8u6IyCpg/cQjSDKqLFyYQCP2CzHjpcZwR37fjmPguBAKhNyC2hUAY2Lh9AUnxcU+XbZcKfbEdKIq6/UL/devoBEIvwciA+27IwcufV2Pdriq8/Hk17rshB8qLSr8F0bEyrJhmBqsIDpFQkpeOlcVUPsBBUgSK4y9SsBNvQFpEyhuIbcD7A37MHBNMKH/4ncN48O2DmDkmA/5AILYGAEjSynDfDbnCNXxpTzXuuyEXSdrYroHD65c0Wk5vbG1w+wKS6n9uX2zl0w0qrJyeL7qHK6fnI72fBW0yjGo8eluBqJ3lJbl4a18tHF4/fn3zMEEECwhehxXbK7Bw8lCoFBT+O6yfv7SnGr+cnIPPjjeh1e6V7EPftzmwuDRXdLxn7hyF6hYH1u8+X0+KgY24f0Y1A71KgZc/r8banVX42ctfw+YOChsAwOZ9tVhcmotMkwpzJ2QK+z3w1kGYdCwMKjlykrQRx7//pjy8ta8WK7cfhZ8LYGXY2Gt3ejHYqEaA4/DQ2wfxpw9PdPbFHFCAIIIVOse1uypR3+HCqi73/g9TzfBzARSkxeGTE024de0e3PXiV7h17R7sqGiATikTHTf08oOmc8xvO1iH1TPEdd5/8/CIPrpiWwXunTxUuGZuHwcZDSH5UaVQ4OlPTorKPP3JSajksoj6V8/Ih0kjE9my0LkbVMF2cRyPHRUNovPxRbEf8gsM3ZDQR/jx18wZJRLButB+WSZN9Mq7wZU+HiE6fo5Hu9OPBzrnlQfeOoh2px/+WCe2GKBpYHmZeBwuLzNDflFvNTYYGRVhfxaX5oKR94ywSGOUrxw22fr2K4cEwg8dc6peco41pxouWpamKUwxp+CD8kl4/mdjUFaYFhRr+PgkHv3gGO4ozoiot93hlbQF351tj/BZ/AE+wi6tmTMKXj8niGCF9l+xvQLZiTr8eVYh5l2bKfgGL+yuxpkWB7YdrBP8wGd2VmJYqj7C3r3zba3gazZaXVgxzYzZxeki0R2jmkGj1YM/fXgM99+UF1GHWiGDodM/ColPNVmcWD61i/2eakabI6i8b9QyQpsX/e07/HrTAdxRnIFUA4t512VH+lPbz/tTrIJGaAkU8rV4Hrjvxly8821QWGdRSQ7unZSN5/9VFeH/Ly7NRZJOiXe+rcXrX1Rj5fT8iHMO3Y/bx6SDVdBYNT0fQxM1Ef7qUx8dx8NTRgh+yMhkHZ6YWYjy0hwsKsnB4tIcPDGzEOZkHQCg1eHBHcUZIj/ujuIMtDrEXySI1kdHpcdhQnYCshO1RATrKiFZz2LbwTqUl4jH/R9vKxBsktMrHfxrsXtgVDO478Zgf1tUkoMt+76P6PPR7BuHoL1ZVJKLBqtbWPu9sLsaDRa3yKdzeqXX4rGu5cMxp+gxKE6FO8dliOIzd47LwFv7aoX613x8Ejwf6Vcq5TR+9+PhonHm8voxIlWHX17fdZ2UC5Mm+qIn1cCK7OdLe6ox79pMpOqvvOCKOVUvuTYO7wsEQk+T2CmIF4KiIGlvZJ27hGyKzS1tEyiKlpy/th+qE/5eM2cUVJ1za9f52aBSILUz9nS8wYpkgxortlWIfJIGixtPfnRSGLP/fUMOZJ1CouHH8AY41LS68NynVVi3qwrPfVqFmlZXxFos3aiMiHX+9w05UMiBt/bVYsnmA0IMJ/wYS27OQ26SNuK48RoZVk7rEnuclo94tQwflE/CFHMKaJqKOteH/LKuMcEH3j6IHRUN4C6w3o4WLzGqFb1q67rjW/dmXQQCgTBQkdO85HMJOd1zMVcCgdB7XInnJldTuwgEAoHQvyHzB6GvIH2PQBjYcHxA8j1rnr/054o9icUZwLIuzzaWba2Axdm37SIQCLGTpJNhTrE4D2JOcQaS9LHlMPQWxHchEAY2eSkayWf8eSl9m5dAbAuBQOgNAhyPBkvku6IBifc0CQRC/yTaOL7Qe4VXAuK7EAiE3oDYFgJhYJNpUotyVYBg3CXD1D1Nl1hkgaZe4DcewDvdagGB0AtQoPHcZ1VYMDEbFAXwPPDcZ1VYe8fomMqfaXFhx+F6vDB3LDqcPsSpFXjt89MwqBQYkRp30fL1UcQwGqyxiWG0O3yS5TucvpjKy2VyrNj+bURC+Yb542MqDwBNtkCEANOyrUewYf54ZCVevHycSiH5xQSDKjY1sgaLJ8o19EQpIeZYoxXPfVop7gOfVmJYshZFg40x1dHbcByPj4414pmdJ7FgYjZkNDA8RY/nP6tCu9OL0y1O8Lx0YiLH8wAoSeGAhZOzEeB4yXLJehapBhZ//89r0O70ISNegw6nF4v/fgBGNYPbx6SDogBWIYu4f7OL07Fq+9EIgaUFE7Px3KdVqLe4sWFvDdbMKcL8174R7ff7dw9j4eRsvLWvFvOvy8TzPxuLZpsHjVY3XvviDOotwbFhcwdQNFiPDfPHo9HmgUnLoK7NiYe3dO2LFXh6zijJc3R4A4jXMlg4ORscD9AU4Oc46JQMzrQ6sGTzAVFdSzYfwKt3j8PmfWfxxKwiuLx+qBg5NnxRjd/ED8ffF16DJB2LDKMaowcbcazBipONNtR1uCSP7/L6hb9ZBY3S4UmCoJTNLT22m+0ezChKQ26SFg0WN1IMLMypBuw93Sr5UsaL84oxLAWS53Om1Sk9dixeFKZL98WQ0Mfw8klosrmRpGORZdJEiC7Eul9PcaWPR4iOwxsQJSWHxEheuXtcjx3DoGKw5dvIcfjErFE9Uv+5ThsVPi9s2FuDLJMaPXGEZD0b5SuHV15cgUAgnEcupyXnWHmMKns0TSE7UQsA+PWm83NuvcWNTfvO4o0F16DV7hHqrai3StqCrnq2bh+HRJ0SPn8Ar949Dk1WD5INSoxJN+KjY41R1xKD4lg8+LZYCPTpT4K+5IrtFVgwMRuH6qxos3ux6T8nwOUPIFHLwuXzI8DxyDBpcK7DCYOawVPvH0F5Sa7oWLePSRcENTmeF/ypkM1sd3rx2vzxeObOUUgxKEGDQoPVA5/HgzWzi2DzBO33S7tP4b9uyMGzd41CvJpB+c5I4akFE4NfbYzmT4XEIDZ+WSP6LUGrxLpPK7Fw8lDBNw3tC57H5oUTUG/xQMvKkKpnQdMUcpK0SNKxSDeo8Flls+Qxh6fosOjGHLh8fnAcLfIlk/VKrJk9CqMzjIIfcqrNIQgKhdqw5OY8nGpzID8tDhQoScGtNxZcIzp2d/soYeCQZdLg4Skj8PiOY8L6b0yGEdcNMQn3O5o/MahTxCk0PkNCMhOyjdi0cMJF+06b3YsNe2vw+MwCSdFc89yxwr6NVum1eGOMa/FwztnceGjLIRjVjOCDjRkch9+/d0RYA4bqb3VExjvanV64fJxonP3vHaNwrsONJ/55IiJesfGe8RgaUUsQf4CXPPfxWfGXfF7dRS6n8WNzKo43WGEepIfbyyElTomRKWTsE3oPm8eL8pJcYW6SUZC0N5NzE2FO1Qs25cOKBuk4hs2LGUVpGJNhFNbr6QYVcpO0qLe4kWpQwZyqx97TrWh3eCR9igUTs/Hy59UIcMHxHs0nCR1z+dYKvDZ/vODjhGIEZ1odMa3F6to9EbHO5Vsr8JefjBZsUoPVjSnmFAz71SScbXNAzciRrFciPU4N8yCDKDaxv6YNm/fVRKxhH54yAvnpWuG40eb6s+1ObOqMRVU12RDggI1f1qDe4saSzQcwvHyS4Id2JVq85Luz7b1q63rSbyE+EIFAIAC+ACX5XOLBH43o66YRCIQYuBLPTa6mdhEIBAKhf0PmD0JfQfoegTCwUSkY7Dx2WvSe9f99eRr33ZjXp+1qtEV53mm79OedBAKhbwjmMES+O73hnvHISui7dhHfhUAY2MSpWNySn4ishPFotHqQrFciL0WDOFXfvudNbAuBQOgN7B6/5DtE68PeFSUQCP0ba5RxbO7jcUx8FwKB0BsQ20IgDGx8Pg7Lp5qFccwqaCyfaoavy7OaS+WiijQ8z8/v1hEIhD7A6QugptWF5z6titgeC1pWjr2n2/DpyRZhG6ugcc+k7JjKJ+qUkglYCVplTOUTtIxkeZOGial8c5QHuS2O2B/kNkWpo8keWx0unx8P3DIMT350QjBaD9wyDK4Y70GSXvoaJuliu4b1FrdkH2iwuFE0OKYqep1wEaNQO1lFMOl+7rVZ+ODQOVwzxCh5HeQ0hVPNDsl7NDRRi9oOp2S54w12PPj2Iayano+cJA0oKnivjWoGcydkCgmRmSYVVk4zCw8SWQWNIQkayeNRYZpE7U4vLC5psSeOD96XRz88IZzn2p3n7w+roKFjFfjR//4b992YAzkNPPh2Ne6dlC1Zn5aVS57jmAwj7nn9m4jtbywYj0arWyT4BQBb9tei1eHFvhoL9tV8JzpOq92LkYP0gvgSRQEPvHUQbh+HZ+8aLXl8DSMX/v34zEJBBAsA4tQKZJpUKCtME46/7WAd4tQKyOU0igYbRf3T7pYWh7B7gmJbjRKie2pG+rqoFBf+ElJI6CNakuWF9uM4HmdaHWi0upGsjxSrutjvPdEuQu/S5vBK9sV2h7fHjpFl0uCeiUMFu8gqaKyZMwpZpp750k6CVol2p1c0LwTn1tjmlYuRZdJgzZxRvdZ+AoFw+UjNsZeK1BhfWjYSRjUDX4CDjlWApimYU/VYOT0fy94/Iuy3ekY+nt1VKaqPVdBoc3jB8xAEREO+Q3qcSnIuT9Yrse9Me1R/LPR/VkFDLqPR5vTixuHJAAC/n8PxBhseejvoxzxwSx68fh6DuhwrVA8QDCSu2yX2pQFg35k2fFTRgLuuyRQFKEKiVfUWNzJNKsSpFWi0etDikF5XUBSgVkr7LRnxarx69zj8zzuHOsU0WNw+Jh0yGkiLY3HnuIwIgda1uyqxYf548AB48NAqFciI10Aup5GVcN6PSDFICw3VtDrw5Ecn8dK8sVj05ncRv2/+xQSR/9Lu9GHNxydFbVjz8UmMSC0GALRFOe82ibmzax/lOB7VzfbL8p0I/ReapnDLiGSkxbFCv+4q+BHNn9CxCsmHmTeNCI7x4HcuovcRrVKOdqcXTm9Asl86vefX6UlR4hmxrsXDkVp/eQMc2p3icRAUzVZElFfKZXj6E/E4e+zDY1hy8zDJ82i9gG/aZJcek80xxjh6GrmcxshBBmGdpFUqyDgn9CqMTIZN+84KonSsQoYlN+cJcxmroPHU7FFgFbTIpiRHic8l65SQy2lhvc5xPHZUNETYL6WcgtUj7VPIaKC8JBeb9p3FNUPyo/okIYLj3ANzqh5FCedF7mNdi7VEWde6/RxSDSzanV4k6YIimkOTtBiaJI5DdI1NNNo8krEkqUQaKX80JJB4vMEqio+F2tVkc18wFiIVL7kStq4nfOsQNE1Bxyrg9AYEf5pAIBB+SDTbpeeSvvJRCQTCpXElnptcDv21XQQCgUDo35D5g9BXkL5HIAxszKl63GIehF9s3C96P8KcaujTdl3o2QaBQBgY9OQHvHoS4rsQCAOfOBWL8UP61weOiW0hEAi9QSzvihIIhP6N2yc9jt3e7glKdBfiuxAIhN6A2BYCYWDT7vLj+X9VCbkqPA88/68qrJ5e0K16LyqEFYKiqGQAjwIYxPP8jymKGgngWp7nX+5WCwiEXiBZL53cnKyPLWipUlBYXJorJJqyChqLS3OhUsT2RXqPz4/lZWas2B6mXFdmhjfgj6m8QiZ9fIUstmSghCiJq5ci9mHSdU+My6BiwMhcWDg5GxwP0BTAyCgY2MjkVin8gQBWTDNjeZgQ04ppZvgDsQVdUg3SAgIphv4TuJYSMXL7OKQZVGh3eHCLORVvfHlasi+98u9q/Py6bMlzTDeqsHFvZLmQOIHbx2Hp+0fwxKwi3PXiV3hxbjFmF6cLIlgAgiJin1XhiVlFONloA92ZJCl1vFCOWugYBpW0oAHPi88zw6gW9gslKYZeQqAoYPO+WpSX5MLjD0QRdgqKRTy85ZBIPMIXkF7o29x+DEnQYN61mRFjKzXKyw/HGmx44O2DWDNnFKaYU0T37NNjDRFiYSun5YPjOZSX5qA4Mx7XZZtESXw6Vob/viEnol/rWGmRqsQo4zCxcxxK2br6Dqek/WDkvZNMGC3ZdYo5BTRNXfR3wsAgJdoLQvqee0GIpilMMadgePkkNNncSNL1rPBHkpaRVJVN0sU2r12M3m4/gUDoW7qO8RQ9i6P1NvzHs3si5rdrhhjx5KwiOLx+qBg53t3/Pe4clyGam8tLchHgeKz7tEok8PLwlkPYsXhShJjWyun5aHO44fZzUf2skF+2uDQX9R1OFA0+LxBxtt2JR947IpTTKmWYd20mDtd2oLwkV/ADZZ1CWqH9pI51zZB4jM+Kx7xXv44QolowMRvbD9XhvhtyBYGvxaU5Udv8+hfVET7/yun5GJ0Wh4PnOnDnuAz8/ZuzuKM4Q2jj+jARsnqLW6jT7Qt+wfXBTrGv0Eu2M4rSREJDHn8A99+UJ4jrsAoaS27Ow6v/PgNWQYPjpYU3mrq8TBf14VKn8G+yPrqg2YUgvtPVC8fx+OhY4wXvbTR/4qvTrZL97Wi9VbQekurzAKBiZFhcmotE7cVFu/WsTGKdY4Y+yprlQqTo2Yj116O35UeI7ywuzZUU2pISBq5pdUUVD9cqo4c5DVGElHVszKHRHoWMdcKVJlnH4JfX54jWQ4/dVoAHbslDh8uPiTkJaLa5Mev5vSKbMiJVK2kTNKzYzoSLvQNBG7Vk8wFsvGd8hH8BBP/OSdLhqY+O447iDLz6+WmsnJaPZVuPSPokoTKJWiVa7B6RyGWsazF9FAFOlUKG2cXpyIhXI8OojvmapkaJP6fEGH8OtTstToX1u6slBAgvPYbZ32zdhSB2kEAgEIDkKM/ySFImgTAwuBLPTS6H/touAoFAIPRvyPxB6CtI3yMQBjZyOY0ZRWnITdKiweJGisSHgPoCgyrK8071pT/vJBAIfUN3P6bdWxDfhUAg9AbEthAIhN4glndFCQRC/8aoVkiO4zhN374LSHwXAoHQGxDbQiAMbBwef1CX5FPxx8Ed3th0daJxKV7PawBeBfD7zr9PAtgE4LKEsCiKigPwEoB8ADyAewCc6KwzC8AZAHN4nm+nKIoC8AyAWwE4AdzN8/y3nfX8HMAjndWu5nn+9ctpD6Hn4TgeZ1odaLS6kay/dDEIl8uHww1WNFo9SNYrUZCih0oVm4hSlkmDZ+8ajcN1FnA8IKOA/DQDskyamMrLKBqZ8SzWzx2LNocP8RoF7G4vZFRs7dcqFfj0xBm8MHcsOpw+xKkV+L8vT+MXk3NjKt9k86CywYpX7h6HFpsHiTol3vrmLIYmai9eGIAv4Meq6flYGpY8v2p6Pvxc7MrdaoUMj91egNMtDuEaZiVooGZiexjs9Abw8r9Po6wwDRQFcDzw8r9P47HbYlPvk8tkqGzowGvzx6O5M4nt44o6DElIi6m8OVWP5382BjRFCfeQ4/k+/9pUCI7joWZkKC/NAccDW/bXYniyFvMnDkGH04esBCO27K9BbnIc3vy6BuvuHA13gEO8moFCDpSX5uKNL89gadlIrNp+VLjPf7q9AE6PH4tL81BvceHpOaPg9XM42WTHxi9rBLGAoEPI46nZRdAqZciIV0smGJ9stOGlPdV49DYzErRMRL/63Y+HY/ggPXIStUjUKfHut2dx3VATHr2tAL9797AosXnD3hqh7pAw3at3j8PxeisK0+PAgQdNA6/ePQ5NVg9WTDejscONTJMaf/3pGDz3aSWuyU6EjAYK0wxweP0oSjdg039OQL3VjVSDCh0uD76t6UBxpgHzrsuGy+OHWinH619UI17NIMBBSMIOXYdndlbirV9cG/HyQ7hw2JLNB5C2cAKSwoKBN4xIwYYvqvHErCJ4fAEk6ZX4vtWBrAQ9CtPjkBEftDfVzXbBDrY7/fjLZ+dVLQHgL59V4U+3F0r2Ex0rw+oZ+YJwRSgRVacKjsMskwZr5ozC4zuOoawwDTIaGJFqQIfLIwhwaBg5nF4f1MyFp/xwm61m5PAGAjBplBe13eHJrqkGFrePScfxBivS4lQoSDNETYY1zR+PRN3F6yf0DziewzN3joLPz8Ph8UPDyqGQUeD4nlWS9/s5tDm8aLF7oaBppBtUYGKcdy6G3RtAdoISG+aPR6MtOCZ53g97D37VguN42Nw+dDh9UCnk4Die9G/CDwq/n0NFvQX1FjcGxamgU8rR4vCAkdFwegOXtSboTWJdr4T2a7C4oZTTcHr9aLF7Jee34eWTkGFU48D3Fry17yzmXZeNKQWpyE7U4P8WXINzFhcoUFi/+xTKCgeJ5s+Qb9Bi92CqOQVZJrWwFqpqaEdSvBGMXB7hZ/12ynA4fQE8PrMQCVoGKoUMFpcXHM/hdLMdmSZNhABrsl6F+zcfwL2TsvHlqWa88LMxoCgado8fr98zHi/vqcLuE0147iej4fJycHj8aHd6kWnSgFXIcKbVKSnKMyJFh+vzijDvlfMiWZv31eLBHw3Dn/95QmjzH6aawfMcrinNA8fzePXucTjX4UaSTokAz2H/9+3QKuXQMDI8eMtwPNApbgUAeUlaGFgFfnfrCBhUcrz6+Wl8erIFrIJGZZNNdE8eee8IcpO0gigYx/FgZDQo8PjzrCI0Wd0YlqIDRQHLp45EWpwKDq8fmSaVsI4BgG0H66DpIrCTbdJIBlqHdK45zal6yTXZxdYj0Xyn4eWTkB3jepDQ+1xOvCN0b41qRhjzJxqsGJmqixB0yU7Uiu63mpFLrnFONdsv2OdDxGsYJOoYePx+PDW7CCcabcI6Py9ZB6//fHDR6eWw70wLXrl7HFrtHpi0Srz3rTgeEev529y+iPXX7949gvVzx4pEszWMDFLhFqNGITketUo5/veOUThabwXHB7f99JpMsBcQL081qPA/U4bjTzuOi154d/sDOPh9B8yp+iv6Un5/GOtebwCHzlnQYHUjVc+iYJChx3zvq53uxjz7ol2tTp/wlQ0dK8OgODXOtjpQmG7A2p0ncX1uAh58+1CETXnjnvH45Fh9RIwzO0GD7862IcAFfRcZTUn6BhaXD6MyDHhxbjHOWVyIUzOoa3ciSc8iUafE0rKRYOU0cpO0kNHAxnvGo93lQ6KGweB4tSgesmp6PiwuHwwqBVwuH0622FFvCcaDhiVqYXP74PT60ebwCgk34dcgJAoYLs63rGwk9Kwco9Lj8JfPKjEmw4gskwZn2xxotHqCfkG8BkMSIu9xwSADnphViKomu2BThyZpEa9WYO+plpj7hkElF2yznKaRnaiBQhYUDQ2tKWPtc1K27n+mDMcgg+qy+1VvEW1eHJ6sBSiq340vAuFCNDY0ICvPHPX31JQk7N396RVsEWGgoGJkWPeT0WBktPAcyxvgoCI+GYEwIAjwnKQ/2NPPTS6VK/U8h0Ag9C79NfZAuHoh8wehryB9j0AY+Ph8AXj8HLwBHh4/B58v0OdCWPUWN4oGa0XviBlUFOotHgxP6dOmEQiEGIlXy/DEzAJUNZ/PYRiaqIFR07exU+K7EAiE3oDYFgKB0Bu4/X48e9doeHycYFuUclr0riiBQOjfKOjg+40rw/KGl5WNhILu27gL8V0IBEJvQGwLgTCwSdYrJXO/ErspxHspQlgJPM9vpijqtwDA87yfoqjuKAc8A2AHz/OzKIpiAKgB/A7ATp7n/0RR1P8A+B8ADwP4MYDczv+uAfBXANdQFBUPYDmAYgTFtPZTFLWV5/n2brSL0AN094vuLpcP2440YNnWI2EJivmYmp8SkxiWx+NHh9OH9burRclSHo8/pvI+LgCbh8OSt/YL5VdMMyMhRiEpg4rGTSMG4Rcb94vaH6eObaGRpGNwzdAE3PPaN6LjJ+piEwJL1SvR5vCLEkuVChopeiam8gDg8vkQ4HjRNVw9Ix9uny+m8v4AhzuKM7B21/nksvKSXPgCsTkecprDsFQj7n71a9E9lNN8TOV9vgCarN6IPtQfHrRLjY9V083geWChqM+YkRqnRIZRiVanF8vDRJpWTDPjvhtzUNPmxsLJ2ZDTwaTBP+04hppWlyA+5fZxcPoCePnz6ogk/RMNdrz8eTUeu82MJB0rmcifP0iPv//nNTjZ6MDcl7+GUc1g4eRsDE3UIiNehe/bnJj38teiNgd4P9y+8/1Pw8iQomfR7vQK9S4uzcVDWw6h3enFymn52PTNGRxvcOCuazKxYlsFjGoG867NFCUnrphmxl8+qxLOb/WMfNS0OPHoh+eT+xaX5oLnAphTnIGHOgUTQu1iGQpNNrdkYqbN7YWKkWHh5Gykxalwts0VIRy2p7IFmSa1kDTp9Qewr8aCuo5jmDshUyRysGbOKKTHqfHRsUbhPmeaVPj9rSMlx4XNIx1MtLoD8PoDorHs9QdgdQdtEU1TuGVEMnwBDg9vOSQ63+c+OylcqxXTzPD5o9svqT5ZXpKLTfvO4uEpIy5ou0PCGqkGFnMnZArntn53NdbMGQWjWiF5zfdUteClPdWXNDcQ+o4krQJnWt1YFtbPV07Px7Cknkum9XoDeO/QuYhjzCgc1CMJ+YGAHzWtXizb+q1oXhiW0jNq+H4/hw8r6lHZmfRyrN6Ks20O/Nic2ufzDoFwJfD7Obx3sE4kVrDk5jwoZTQeC0vE7y92P9b1Stf9Mk0qLC0zo67DhXsnZWPL/lqRv9BodeN4gw3/OFSL2V38keVTzXjzqxqcbLLjydmFUDNyZJpUEb5BbqIW9RY3nvzoBMoK02BxesAolHhoy0HcUZyBTfvOYsHEbMhoYFyWEY1Wj+gaLy7NRYqBxf99WoXSESnITdYiJ1Er8vWsLh/cPg4VtR34+XVDcLTeJvK7Vs/Ih55V4GSjPWL7xr3VyEzQSfqOBrUiQnQrUcsgvtOHDPkzRo0CNrdf5PuumGbGMztPYF+NpdNGj0ScmoHD6xfqK0zT467xmYIwVqicQg7cPHIQWh0eLCrJEe5L8J54ot7zx2cW4Gi9FWs+Pilse2neGPz3DTkRvjdFif2ZwUY1Vk7Lj1hvZBjVwj56lVwkTqqQX7zfd71+4X2LCGH1Dy433tFodSMvSYtf3pCD4w1BAaf3DtQh06RBRvz5RDapJDelAhJrnHx8ePic6BjhfT6c9Dg1Ks5ZkaBjUNfhiYiVjEw9329dPh+yEvSieER5SS5cnbGASzn/cxbp/txk8yDAARQFBDjgr/+qRm6yWBAMAJINStx3Q65onD0xqxCnmh0iQcClZSNh0igu+KAjSatAvIaJiJO88UUN9p5uw+oZ+ZhRlHbF/LZoY73JdmXGem/73lcz3Y159lW7Gq1u1LS68M63tZg7ITMiZsIhINkn251efHS0BR8dbRH9Nrs4Ay02H1ZsD86Xi0tzonxFkMHJRgeWbf1OMtbz2ynD4Qlworm4vCQXdp0MjEI8Zhk5hWd3VuJkkx0rp+Xjuc8qhbjHymn5+OTYOYwabBL5VeHXoN3pRYKWwdNzRuFYgxUBDnhh9yncd2MuNn9Tg5LhKbC6vNh1wo7KLj6Q1D2maQr+AB9hU+e//o3Qrgv1jdA9e+XzU5g1NkNUT3lJLh794CgenjICt4xIFsWXLlSvlK2L1zBI0sYWU76SNFrdMKoZUSyJVdBIN6qx7tPKmK4hgdBfCPA8JjzwUtTfv3zy3ivYGsJAwun1otUe+exHzxJ/jEAYCCRoFPi+zR3xLN2k6VvfK1kn/TxneHL/E0clEAjS9NfYA+HqhswfhL7iSryLQiAQeo/uvufdW2QYWeyrsYo+irpymhnFmfo+axOBQLg0VEoZvIHIHAa1sm9jp8RvJhAIvQGxLQQCoTdINzL4qtoWsV7LS9b1ddMIBEKMeLkAtEqZ6F1ArVIGX4z57b0F8V0IBEJvQJ4XEQgDG0ZOR+R+rZyWD5bpXn7WpZR2UBRlQlBwChRFTQBguZyDUhRlADAZwMsAwPO8l+f5DgDTAbzeudvrAGZ0/ns6gA18kC8BxFEUlQrgRwA+5nm+rVP86mMAUy6nTYSeJfRF91Dyk9vHYcnmAzjT6oip/OEGq9DZQ+WXbT2Cww3WmMuHRGlC5Ze+H3t5gBZePA+VX761ArEOmVZHQLL9rY7YFhreACSP74txndLqCOChtw9h7c4qrNtVhbU7q/DQ24diPj4A0JRMEDIIteGR946AomJ7iKRi5EISU6j82l2VUDGxCY4EOFryHga42F7s624f6k2kxodKIRcevIe2LdtaAYVMDo2SwV8+q8KCidlYVJKDeydl4y+fVcHrh3CfPX4O928+gJpWl1D+mZ2VaHF44Q/wKC/JBasI9t9QQt0739bCqGbQYPVi7c6TWFo2UrTP4tJcUBQFV+e1c/s41FvcWLuzCg9vOQRfgMdDWw5HtDkQoLFy+zGh/z2+4wT+d+dJPDGrCE/MLMDCydnYsLdGECdYtvUIphYNxm9+NAwrtgWvwe1j0oWEw1Ddy7dWoKwwTfj7kfeOoMXhFe3zzM5KXJebLHktLa4AkvUsMk0q3HdjDhaVBP/LNKmgkMnwYOe1/L7dhZc/rxZELULXI8OkwYNvH8KGvTVYMDEbaUYVWAWN28ekR/T1JZsPoKLeIrrPZYVpUDMyyXERF+XFD0YmvpZrd1Zh5fZjYGTnbdHZdqcgghV+vuHXavnWCgQuoCEn1SfX7qpEWWHaRW13sp694HVQM3KhX4VfT56/9LmB0Hc02QPCQhLo7GfvH0GTvecCaIfOWSSPcejcZbmbEXgClOS8EEWH7pI53mhFbbsL63dXY92uKrywuxq17S4cb+z7eYdAuBJU1FsifMc1H59Eq9MbMTf0B7sf63olfL9UA4s7ijOw6G/fYvHfD+ClPdWYOyETqQYWQHB+UzMyLNl8AGVFgyP8+RXbKnDv5KHBbTyFFdsq8PCUERHz58PvHEJtuwt3FGfg5c+roVcrsez9IygrTMPaXUFRgOc+DfoF35xpj7juz+ysxOkWB+Zdl41ndlbiUK0lKPQwdwzW3TUaj99egAyTGpkmFW4bOxiVTfYIv+uR947A6+ckt88YkwGaorC4NNK/fOS9w4jXMKK5/97JQ/Hbdw+L/JmKc9aIdi/fWoF7/l827rsx6O+qlQps2Hta5EvcO3moILgRXm7BxBys+7QSf/rwhOi+sAoa8Rom6j0/1ewQhDdC2zieklyL0V3WQccarXjus0rBR18wMRvPfVaJY512/2i9BYv/fgCL3vwOD285jEVvfofFfz+Ao/UXntei+U5qIkzTb7jceIeOlePn/y9LEMGSUcA91w3BMztPCmVDSW63rt2Du178Creu3YMdFQ2wugISa5wjmDl2sOgY4X0+nLPtTpxotKHDGZBcZzeH+XRKufRanpHLL/n8Uw0qyf7MymV47tOgTXju0yq0O71QyCLjLU0Wb4T/VtVkF0SwQttWbT+Ko/U2XChmU9Fgx0NbxHGSh7ccxt0Thwj2reIi47MnCa2jwmEVNJJ07BU5fm/73lcz3Y159lW7knTKqGv3ZVsrAF4m2ScNakZ6u4oRzcmb99VK+gbeAC+MY6lYT6vTGzEXr91VifR4fURs8+EthwVfatnWI6K4x7KtR/DTCUMk4xKha2BQKaBTKnD/5gNYuzNof2paXVj2/hHMuy4ba3dVws8Bh2otEe2UuscV9ZYIe7T0fXG7LtQ3Qvds3nXZ+MO2iohrEIrJdI0vXaheKVv30JZDqGiwS7ahL0nWs5hdHNkfL+UaEggEwsBH1q1nkQQCoW9pdQQkn6VfyvP43qDRJv08p9HWt+0iEAix019jD4SrGzJ/EPqKK/EuCoFA6D366zu6LQ6pZ6sVaOnj9RqBQIidc+1eybjLuXZvn7aL+M0EAqE3ILaFQCD0Bo1W6bzWRiuxLQTCQIECjYe2HO7yLuBh9PU7JcR3IRAIvQF5XkQgDGycXun1h8PTvTEcmyJNkCUAtgIYSlHUvwEkAph1mccdAqAZwKsURRUB2A9gMYBknufrO/dpAJDc+e80AN+Hla/t3BZtewQURS0EsBAAMjIyLrPZhFhptLqFzhrC7ePQZHMjO1EbQ3mPZPlGqyfG45Py3SkPAE026TqabLHV0RylfIs9tvItdm+U8rE9xOqJaxALl2NbpMaHw+OXbG+zzQ2O43FHcYaQGBZKJgy/RhQFyfIcD7j9HLbsr8WCidkYkaLDsQYbNn4ZFKK678YcIblPp1TgxbnF6HD5kKBl0GBxwusPoNkWiHotJbfbIs+vptWFqiYbhiZqsXZnVUSZDpcXvgB/0fOhKPHfXBdxp9A1i9beUWlxuO/G3AhlWKvbB6Oawe1j0sHIaDw9ZxT+tOMYalpdwvU+1+EU1Wt1+VFekgu3X/r6hIS+QlBU9HHl8PjBcTzOtDrQaHUjWc8iy6SB0ytdt9N7fvKPZm+7XqtWR/Sxc6E6Lma7s0warJkzCscbrJJ1+AIBrJkzSvTF2vKSXGz8skbYJ9a54YdEf/NbroRNbYjSDxut7iglLo2mKOcQ67x2Mdqdvohk6Wd2ViI/zdAj9RMIPUVv2Zeu8x4Qfa7uD3Y/1vVK+H5SwhFrdwWFkF7+vBpr5oyCN8DB7ePgiuLbubxB9T2Hx9/pH9kl94tXM1jeKYjg8vhhVDPIMKoi9uX46D6gy+sX/t3m9KDZdv4lsdAXT3mei1pHNP+01e6BwxvAlv21eGJWEaqabAhwEPzLpz8+gZXT8wV/K9SOWNod4HnI6ODvlY02TC1Mw4u7T6G8JBdrd1VGva6tDg+8fl50XxZOzgYrl4EPanlL3nOpdjRYPYJfGPKntuyvjZgv6i1uQZRMVN7iRtFg4FyUMVFv8aBQrF0kwhsI4P6b8vD0JyeFe3X/TXnwBbjohfoB/c136U0uN97h9XNwecVBPJmMwp3jMoSy0ZLc/jyrSPKYCjmF8tIcQVgrQasU+nzXNnN89LaH+3StDum1eFvneuJSzt+cqhfZA1ZB4w9TzXB6fGAVtGh9YHNHrlea7ZH+WzT7IadpNF3AN43mz3Y4fcK/Q+P3ShBaR4Wvk9bMGYUsk+aKHL+3fe+eoj/alu7GPHuLi7WLArBimhl1Ha6I/YxqBm5/AKtn5OP7Nic276tFu9OL8pJcdLh8wjwcPmY7XD5RPfUWNzbsrcH6uWPx9Zl28HzQNxgcr75grCfamG6SGP/hvpRU3KPd4bvgNfAFOHgCnOQ8H/JXWuye6G3qco+j+b9d2xWtb4TuWTT/JnS9oh1Hqt4rFQ/tCbJMGuQkart1DbtDf7QvBAJh4HOptmUg2W0CgRBJf30WTWwLgTDwuVKxB7IuIoRD5g9CT0F8FwLhhwVZFxEIhN4i2ji+0DsBlwOxLwQCoTcgtoVAIPQGxLYQCD88oq6LeigHLgSxLwQCoTcgtoVA+GHRW37LpQhhDQXwYwCDAcwEcM0llu963DEAfsXz/FcURT0D4H/Cd+B5nqcoKjJ77zLheX49gPUAUFxc3GP1EqRJ1rNCUmMIVkEjScfGWF4pWT5Zr4y5fHGmAfOuy4bL44daKcfrX1THXD4lyvFTLuH43W1/d8qnGrrXfgBIjXIPU/Sx3cN4LSNZ3qhmYiqvY+WS5XVsbGanu9cwVi7HtkiND02U8zVplfAFODz8zmFRMvTaXZV45e5iURmp8jQF5CbpMHNsOrYdrMP1eUV47Ytq/PbWEXB5/EjUKfGOmkGilsGPC1Lxnxv3CYmNi0tzkRGvRlKU/hTtGifppPvO9bmJCPC80A9CSYcyChhkYOEJ8Bc9Hz7sCofOL5wLHT9Zr8SxRqukMuyG+eMx79pMQcSGVdBYPtWMIQlq1LQ40eLwAKCQaVIJomR/nlWEXccb8KvSPMnjpRoi28HIacl91YwcOyoaIpKghyXropzL+XEYzd52vVZapVxSbIumqQvWcTHbTdMUpphTkBanwvrd1RF1xGuUGJMRj5GLJ6Guw4XadpdIEO9S5oYfEv3Nb7kSNjXavJMc47xzMRJ00vOSSRPbvHQx3D5p4Tq3jyhPE/oXvWVfUg2qqL5IOP3F7se6Xkk1sILIzLBkHYxqBvWW8yIhbh+Hkak6fFA+CVkmDU63OIJzu1Lat1MxQV825Pt5A5zkfhqlXNgWp2Ew79pMnLO4IvaVUdF9QD2rEP7NcYj4UuKyrRXYcM94VDc7pNsQxT9N1rEAKKTFKUEhKGARLlawr8aCxTcxeH3+eDTa3EjRs8g0qVDT6rpouzWMXPAnQv7ofSW5ON1ix59nFcGkVUiWO95gw9wJmYIYl9vHIc2gwl/+VYUfmVMi7nmqgcXtY9KRYVRhcWkONu+rFe5rnFoR4RcuLs3FIEPXviHd50PrJb1K+vppWRkuRKJWCZWCxsLJ2eB4gKYAlYJGgrZn1zE9TX/zXXqTy413+DkOXBd1QI7jMSxZi0RtsGy0JDcpXyzTpILDExCNmRXTzEiU8G2S9SxkVPS2h/t02ij2S6uUX/L50zSFFD2D9XPHos3hQ7xGgQ6XFxu+OIMX5o7FN51iOZv2ncXaO0dHlI9TR475aPYjN0mLZF30cRJ+DUM2QEYDSTolUg0s2p1epBiu3PwUWkcNL5+EJpsbSbrz67MrQW/73j1Ff7Qt3Y159hYXa1eA50GBR3GmUbRfqoHFvGsz8YuN+wVbsnJaPhweH17bewaPzyzEge9b8cLcsWjvHMdvfHkaozPiIo7X7vRCzcjx0p7zsYGu9ivWMa2P4oeEfCmpuIdRI+0nhK6Bze2HQSWXnOfj1IwQyzlWb0WmSYWywjTBx9l2sC7iHg+Kk/YFurYrWt8Ixa+i+Y3DknXINKmQamBjao/U9Q7V1dPx0J6ApilkJWi6dQ27Q3+0LwQCYeBzqbYlqt2+gF9LIBD6D/31WfRA8gkJBII0yfrY14HdgayLCOGQ+YPQUxDfhUD4YRHtPWuyLiIQCN0l6vvpxL4QCIQBALEtBAKhNyC2hUD44REtP7yn3ykh9oVAIPQGxLYQCD8sosZzu5kLSV/Cvkt5nrcCMAK4EcBfAPz1Mo9bC6CW5/mvOv9+G0FhrEaKolIBoPP/TZ2/1yEowBUivXNbtO2EPibLpMGaOaPAKoJdLCTqkmXSxFTenKLFymn5ovIrp+XDnBLb1w0HGZWYU5yBh94+iIffOYwH3z6IOcUZGGSMbcDEa2RYNV18/FXT8xGvuXDScghGBiyfahaVXz7VDEYWa0IjhxXTxOVXTDMDFHeRckGU8mASV3j58L9jgaaAJTfniepYcnMeYj2FeLUcj88sQHlpDhaV5GBxaQ4en1mAeE1sQlYGlVzy+HpVbOXzU3SSfSg/RRfbCfQiUuNDp5RJtNeMt785i2PnbDCqGdx3Y/BaLirJgVHNgJGdv69b9tdK3vMEDYNHPziGl/ZU43c/HgEZBfznpKGIU8nR7vThYG0H/uv6bCy6MRfPfVaFBROzsagkB/dOysbfvzmLE402eP2cZNtSDNJtZhWRfWdxaS7217ThTIsd/3tHEZaVjYSsszu+d6AONW0uvPbvU1heZo56PsunmrH9UJ3w9+oZ+UjQMBF2Jl4j1a58JGhkgjBCOG4fhw6nT0iCDG1bsa0CX5xqxcPvHMazu6pAUxT+eFsB1u4K7tfu9GDm2Awse/8IyktyI9phTjWI7vO2g3UwqOSS90mjlAkiWKHjL9l8ADQFrJ4hPpfVM/KRYVRfsD91vVZB8QYldlQ04Na1e3DXi1/h1rV7sKOiARzHS9ZRXpKL7YfqYrLdNE2hIM1wQbt/tN6G3717GGfbXPD4OSwrG4niTMMlzQ2EvkOvkuGJmYUim/7EzELoVbHNi7FQMMiAlV3m3pXT81E4yNAj9afoGMm5NVWv6JH6s02aiHmWVdAYQvo34QeCOVUfMWctuTkPJnXkXN0f7H4s6xWO43G03ob1u6uxblcVHnz7IOZdm4nUMKEUVkEj3ahCdqIWNE1BRgOLS3Ox7eD3kjbn3f3fg1XQcHp8WDktH9sO1kX4EQ/+aBji1HJh2/dtDjyzsxKb99WK9s00qVCQbsCyspGSPqDF6cHi0lwkapX4vt0ZxQfyIidJG+GfrJ6RD4WMiti+YpoZDp8fT350HLOLM/Dg2wexblcVXtpTjbuvy8LDU4bhdz8ehmabDz9/9WuUv3kA8175GvfdkINMk0qoZ2iiNqK/LC0bib98VinyR3cea4BWKYNRxYCiAJriI/y88pJcvLWvFmt3VeL2MenC9jqLC3eOyxB8ztA9zzSpMHdCJl7+vBoPbTmMF3ZXC/eVVdBQK2QRfuEzOyvRRb8IcWo5HrtdvN557PYCxGmC80qqXiXp9w0yqC7YNwMc8OiHx7F2ZxXW7arC2p1VePTD4wjEthQkXAEuN97BRwnfq5VyoZ+GhGzCYRU0jOrIGMXyqWb87l2xYPLyrRVotnsl25yfZkDCBdZKIfQqWee6TrzO03X6fZdy/jWtDlScs2Hhxv349aYDWLhxP+ra3Vhy8zA8u/Mk1u2qwsufV+NXJbkwp0b6fG6fP8JGxquZCPtRXpKLP+04JhLl68qIFA1WTssX2YC1O6sw/7VvMO/aTPx5VqFkG3oTmqaQnajFhOwEYR65UvS27301092YZ1+1i+eDdqLinBWrZ+RjcWkOUg0sZhenR8x7y7YeQaKOxZ3jMqBlZLh55CD8Imwc3zxyEHSsTIjhhI63ekawD4W3Q6uUYcU0MzJNKmgYGZZ28Vvi1YxkDOnJf56QjAu9tPuUYLvC4x4rp+Xj/748LRmfCV0Do5qBP8BLzvN17U4hljMmMw6/vD4HL39eLfg5vyrJFcViAEDPyiPivyummfFVdbPk8bsS8htf/6I64lqWl+TiyY+O41cluRiWqMOvSnIv2h7gvK3raudHpPS9/y3FyJTINcTK6eJ72x/GF4FAIPQWSTpp/zxJ33MxVwKB0HuoGVryuYmauZRXcHqeOLX085w4NbEtBMJAIcOoRnlpnmgdWF6aJ7kOJBB6CjJ/EPqKK/EuCoFA6D2C72lGPlc0xfiedW9h0kjblr5uF4FAiB1fwB/x/Gx5mRm+QN9+lJT4zQQCoTcgtoVAIPQGyXpp25JMnkUTCAMGHrxkLgKovv22CfFdCARCbxCnln6PjtgWAmFgkG5U4olZXfyDWYVIj++eEFZsijJBQpHj/wDwIs/z/6AoavXlHJTn+QaKor6nKGoYz/MnAJQCONr5388B/Knz/+93FtkKYBFFUX8HcA0AC8/z9RRF/RPAoxRFGTv3uwXAby+nTYSehaYpTDGnYHj5JDTZ3EjSscgyaWJO6qtqceKTY+fwwtyx6HD6EKdW4P++PI1hKVoUDb54pz/X5sGyrRVdkrgqsGH+eKTHXVxMy+Lk4PEHsHByNjg+KArl8QdgccaWfdxs8+HNr2rwxKwiuLx+qBg5Xtp9Cr8qyY2pPM/T2HmsPuL8F5hyYirfZPNgw94aLJiYDYoKJrtt2FuDvOTYhMQAoMnuhVJGi66BUkajSSKpVgqnh0Oj1YP1u6vh9nGCGEKsL+dRFIcUAys6foqBBR3jYq3B7sXJhna8Nn88mm1uJOpYfFJRh4YsI7JVTEx19BZS4yPDqMbXZ1qwfu5YtDt9MKoVsLi82Hu6HcNT9Zh3baaQqBdauFrcPtF9BoBFN+ZgSIIGBpUCR89Z8Nd/VaPe4kZhmh5tTh8e/fAY7ijOEMScQnXJZIjYXl6SC5oGnJ4AjGpgw/zxaLR5kEcwea4AAQAASURBVKxTgqICaOgIYN+ZZrxy9zi02j0waZV479uzyDCp8eq/z0T0v5lj05GZoEWbw4sV2ypEx3lm50mUFabhza/Pj5s4NYMX542F3R3AsQYr3vyqRvjqKU0Bg+JYMDIZ/vGriWi2ewQ78+9TTdCrZHhyVhEcXj80jBxyGXDO4kGqQQVWEakqqeyyDQjajZDggdvHYc3HJ/HSvGJhP6vLj3WfHofbx2Hjl8H7IKOBkmFJKEyPk7zPg3QsbC6/qF/nJmvh8gUkj3+m1YFnd1WKruWzuyoxerARQ5O0kv1JzcjQavfgwVuGC+evkAF2b0BSbGt4+SRkJ2qFOhqtwTp8AQ5T8lNitt1d25GiZxHggK9Ot0LNyPHK56ci+thjtxXglhHJVzThm3B5tNg98Pg5kU1fNT0frTYvkNIzx2AYGWYUDkJ2ggaNVjeS9SwKBxnAMD2zYA3wNN7ad1Y0N2/4ohrFmaN6pP4hiVo8NXsUfvPWAeEaPTV7FLITY597CYSBjFxOY0ZRGnKTtGiwuJFqYKFjFWh1eLBp4QQ4vQEk6y9tTdCbxLJeOdPqiJg7n9lZiYWTs7F2Z5Ug+BAunFJvcePDw/X4zY+GYdn7R0Rz+F8+q8LqGQW4Z1I24tUKDIlXY0iCGm1OH16fPx4nGqxocXiRaVKjeHA8HrutAL999zA6XH64fRzqLW7B59CxMiRolVj0t+9gVDNYODkbGfFqJGiVOFZvxV//VY3lU0fC5ePwl89O4Xe3jpD0gShQoCgKMgr4c6d9TDaweP/bWuz/vgNL/2Mk/vKTMXB4A5DTFP76WRV+ek0mygrTsLzLeuvpT05i4eRsBDhgzSeHI9Zir9w9Ds1WD+I0wbXNwsk5eGJWEeQ0cLzBhgDHoWR4ishXWF4WFPqpaXUJ4hJxahlemDsW35xpB88DG7+sQb3FDQCgqPOiWlZX0FcenRGHrAStcM8TtQzmvvJ1xH19aV4xUvQsKpvskn5Zk80t2tbm8MLXZW5cOc2MNocXmSYg06RBbrIWCydnQ83IkB6nBkUBHB8UWYs2Dpps0sKtzXa34P8R+pbLjXfwABzegKjPLC4NxggarG5kJWgFIZuQ7QkJgAw2aHG8wSFaRzg80muIRqtHss2lw5Px5ekWqBhKtFbiwaHR5kN2UnBfrx+CSHLIfj33WRWemj3qks//nMUlKTjz8s+LsbTMjAaLGykGFuZUA+TyyERhlUKBTfvOitryyhensfQ/Roq2hezAOYsbo6Nc/xONwTjTY7cX4p7Xvolo0/ZFEyXbcLXS27731Ux3Y5591a6QDQqPLS0tGwmtUiZpSwIcjw17azAuKx5L3z8iGjNL3z+CNxZcAx8XwIb549Hm9CI1bCyHt6PN4cPOY/X41Y25eOT9IyK/Ra9UwOULrs1enz8e37c7cbbNiQ17g2O62e7FwsnZGJ6ig55VgOM5/OL6oUjWszAn6zAsRSvYkWGJwb/bHJ5g2wJchO/p8Pqjxl/S4tS4eWQwPpEep8EvNn4rOudH3juCMRlG0fqu0erB8/+qivD3/jyzCBz4i/aNkN947+ShoBGMu31+qgUB7rxde+S9I8hN0uKR945ctD3AeVv3wtyx6HD4BL8rO1GD4ixWohV9S9c1RIqBxYhkPYozjf1qfBEIBEJv0WLnJJ+FZifmIiuhr1tHIBAuRrvTC7dfvM5fOd2MDqevT9vVaPXAGxDHrFbPyEeT1Yu85D5tGoFAiJEzrQ78vosA/u/fPYyiNANykvv+w2+Eq5Mmm/T80UzmD0IvcyXeRSEQCL1HvcWHzRLvYg2KG4ahSX3XrnMWadtyzuLp03YRCITYoWkZtnwbaV9+c8vwPm0X8ZsJBEJvQGwLgUDoDVrsAUnb0mIPINPU160jEAix0Gr3SeaHZyf0bT4B8V0IBEJvUNfhhp6lRfoKTo8P59o9xLYQCAOAVrsf7i75ciunmdFq92NQ3OXXeylCWHUURb0A4GYAj1MUpQTQnQyxXwH4P4qiGADVAOZ31reZoqgFAGoAzOnc9wMAtwKoAuDs3Bc8z7dRFLUKwDed+63keb6tG20i9CA0TSE7UXtZAhD1Fjc+OtqCj462iLbPHJOBosEXL9/i8EgmNbU4IhNCpbB7/Vj9j2MRieLr546NqbxRowAj70zQ4QEKACOnYNQoYipvdfswarAJv9i4XyQWZPPE9uKsjlWg3enFc59WidqvU8Z2fAAwqhVY/PfvIq7BhvnjYypv8/ix5uOTopfz1nx8MuZr6PQCD719KPL498R2/EarGy/9+3u89O/vRdtvMg/qF6IkXcdHdbMd97y+P+J8n5xVBEZGo3zTd6Jr+czOSrw2f5zkfd60cALqLW48+uEJYfu9k4fiobcPYsHEbEFcILyu1+ePj9i+dlclnpxVhCSdEhSthMMTAM/z8AQ4yGigze7B8QYHWuxeuDwBAF7hb6l28TygoClBBCv8OCERqUN1VpS/+Z1Q5q8/HQMZDazdGazrUJ1VqJPjc/DSnmqsnJ6PGYWDhIRdVi7HI+9VCKJZALDtYB2enFUEc6oeq2fkCwmEobEF8JLiEHyY7prbx8HtCwj7cTyE/estbuF8r802CQl6ofucZdLgTKsD39V1YESKDskGFvUWN1L1LAoGGVBrcUken5HT8PrPN4KiAK+fx9k2h0gIIbw/7T/ThsomhzD+QiJ0FCUt9tVkcyM7Udstm921HRlGNf5xpB4PbzkkSuDvKiby23cPo2hwXL8Yk4QLo6DlWPq+OBF46ftH8HqMc0KsMIwMxVnxPVpniCabG/tqLNhX851oe08Ji9A0hR/np2BEav9KiCcQriRyOY2iwUaRvz6kH9v4i819jVZpQaKCNANe+NkYSfGWVAOLHxekYn9NO2paXSJ/CAAUMgoTsoPZrBzHw6RVws/xYBUyjBykR7xGKdiO6aPSUDQ4Ds12D17aUy2IYT33aRUenjJM8GfqLW5BmOvpOaPw+I4TYBU0AhyPFduPAQBe/6I6wgdaMc2M2nYnHv/niQgfZMHEbNQcqMehOovgh4V+a7Z7QFGQvDZpcSo0WqXXYl9WtwrtLC/JhdXtw0NvH8SKqWas3VmFZ+8ajUc/OCiaa1Zsr8CCidl47tMquH0clm+twMs/L8be6jbhmoS3bWxGHPJmFeFchxMObwCMnEKKnkV1s10QerG6fTCqGdw+Jl3wFbfsr4XHH0BOsg4Ob0DSLxtkUInq8Qd4SfHljZ3rFZqmUDIsGTmJWnx7tgMPvH1Q5BdNMadIzhHJehaZJlWEL5uk63/iFT9kLsd39gV4SVGoF+cVIy1OJdQrJWRzuK4DD3ZZHy8uzZHsq8l6afFwjuPB88CDbx+OKPPKz4uFv5ttHhhYBYal6ODy+KFWyrHnpAIt9vPxlFjP3+b2S9oDhyeAVIMKTm8AOlYR1V9y+fyYOyELT350QmS7qprtePnzSBuQoI0unN7m9GLUYBO+rG6NIjbn+cElEvam73210xPr597gQu3y+SNt0KrtR/HnWUWStiSuM7bZbPMgL0mLeycPFWzCi7tPocXuwaMfHMcH5ZMwPlv8dlR4O/5ZUY/C9Hg88n6k37JgYjZe/rwaf7ytAHIZcLbNKfI7QvsuKsnBul3B7W/+5zUozooHx/HQsQrBjjCMDEWDjbgQWqUCAQ6S55tiUAq2KJooZSh+EsLh9UvGbBxeP24cfvGnriG/8aFOH6G8NEd0/qHj1ltiaw9w3tZ1jSm3O2P7sEFfILWG6I/ji0AgEHqDFrsn6rNQAoHQ/2Fkcizr8txk2fsVPf7c5HLa9ch7kcKufd0uAoEQO6dbHZLrwNOtjh9c/Ipw5VDQZP4g9A1X6l0UAoHQOzi9Acl3sZzeQJQSVwZGRmwLgTDQ8fkDmDkmQ3iOFvqYnp/rW/tC/GYCgdAbENtCIBB6A1+Al/zw3mvzx/VxywgEQqxolXLJ/FyNsm8/eEt8FwKB0Buwcjn+641IPYtX7ya+C4EwEHB4/ZI5lq93c/1xKUJYcwBMAfAkz/MdFEWlAnjwcg/M8/wBAMUSP5VK7MsDuC9KPa8AeOVy23E1w3E8zrQ6hETdKy3G0J3jpxpUuL9kCCbkJKPJFiy/t7IRKYbYkn+Tdd1LHnb5ApIvlnXdFg0dK8O8a7NQ1WQDxwMyCph3bRZ0bGwLDYNKgV3HG4JfMulMMnv9i2oUZ42IqXy704cHbhkmShZ94JZh6HDF/gVae5QEcYc3tjrc3byGLXaP5PFb7bGJmQ2kBHK/n0OLzYMVU81CQuGhOivcPg7VLQ54A5HXze3jcKjWglXT87H0/fOCBqtn5MOcagBAic5fy8hgVDNRRQta7NKCBRzPo3zTd7jvhlw891klalpdwheyCtN1+Mk1maIHjX+YasZgI4t1d43GoToLOD543X96TSZe/fcZjEjRSh5HRgMjUvRgFTRuNSdj9rgMtNg90CjlYGRUVJGq4EvlR5CdoEG8hkGj1Q2H1497J2aj2e4Rxt/i0ly0u3w42+7EtIJByE3SosHqQcU5C3YcqceowXrRtcw0qfA/U0agssmORSU52LK/Fu1OL3SsAktuzsOaj09iSIJGsl0qRXCch2xgq8ODcx1uPLzlEIxqBr+5JResXA6Hx496uNHq9OKGnESRUBSroLHuJ6PBymVYOd0MrVKOZpsHjJxGhjEHeja6qJ3bH8D/fXVe8RsA/u+rGjw+szCivZkmFVQKGfaeaomw07HYcKl9AOCL6lZBBCt0j483WGNO3Owu0dre1/PiQKbF7sG1Q+Jx98QhaHf4EK9R4NXPT4sEEXoCv59DRb0lKBRnUMGcqhcJzHSHJB2LOWNTMWNMBlpsHiTqlHj327NI1PbcvNBfE+IJBEJshM8TakYOGS3tg+hZBRJ15wWrwm1XolaJv39zFlOL0pBpUmH22MFI1CqhVspR3+EEBeDg9x0YkazD7lPNOFRrgZqRIT1ODR4AI5eB43hwHI/jDVa0Ob3geR6rZxTgkfcOC35Cpkkt6SvbPX5BKKau3Sm0+Zc35IDngYWTs8HxAE0BGqUcFud5n18ppzEkQYO6DifS4tTINKkwanCccA1YBY37b8rDa1+cwcyx6ZLXpq7DJfh04b8VZxowIduE7AQt4jUKvPHlaRRnGbF6RgG0ShlYBY3TLdLJPRQl/tsf4HBDXgIy49UiP/iPtxXAx/E41WTD5n1B3231jHxUNdux6G/fCfu9Pn8c5l2bKYiBsAoai0tzoWXlONVkx7BELVZOz8eysLpXTs+H0+fDnS9+KWz786zCKL7N+bmR43i02L343buHRX7Rks0HMLx8kuR8kW5QYdGNuaJzWzU9H+kG1SX1Z0L/w+WVFoVyeQOCHw0E+43N7UOH0weVQg6O4yVFUDbvq41YD66clo/8FH3Esf1+DjuPN4KiEMV2nH9ZNEnHYP7EIaJ4xvyJQ5CoZS75nAfFqaTXTIwM81/7GmWFaZDRwNgMI64dYhLEjUMMNqphc/uwfu5YtHX6oAGew85j9fjjbfmoaXUKbRyapAWriO43GlUKHPi+FXf/v6FIi1NBzZxfe7MKGr5A0Pb+0NYHZI30wyFarPN0iwPlJbmCODqroLF8qhnP7jyJX5XkIknH4K7O2I9RzWB2cTrumZgNk4bBC3PHgOchGVMIoWXkGByvEsUodp9owqS8JAxP0WHDPePR7nDD4+MwPsuI8tIccJ3aUqFYzLBkHRaV5GDbwTokaJTgOB47KhpEMZSnZo+CeZAO9RbpvsxxPGgK+OtnlVgzZxSON1iFmFV5SR7i1ArBBiRFiSt3XTsOMWnwX9dno8XhFWzRf12fLbLpFyLAQSROxvGIclylpC2VinGGbN0Lc8cKa/c3vjyNcVkXFgkjEAgEQt+gVcpxy8gE/HTCEJHd1igv5fE9gUDoK1rs0UVj+7pdV+J5DoFA6D1UCtkF30MgEHoDMn8Q+grS9wiEgU2cWiEZ145Tx/7B3t6A2BYCYeCjUsjx/O4K4RkjzwPP767Ck7OK+rRdxL4QCITegNgWAoHQG7TYvVFyB/vvx/QIBIKYOJUcL/18DGSUDM2dOXABPgAD27fvlBDfhUAg9AYOjx93FafhRwVpaO78oPyOw3VwePx93TQCgRAD7Q6f5PqjzRm7ro0UMXs9PM87AbwT9nc9gPpuHZ3Qa0glBK2ZMwpTzClXJKGtu8fPTmBxwqjDz1/9WpTQmZ0Qa/Ivh/++IQfLO9XjQsngFGITYTJpGMkHtMYYH9A63BzqOtxYv7talFydHqeOqbw/EOVLJoHYvmSSqlfC6fWLEt1NWgYpemVM5QEgQaeUTBCP18RWR0KUJC2TJrbk2UEGleTxU2NMAM8wqvHALcNQ2WQXktEeuGUYMoyx3YPeJpRsanF5UdXkECUvLy8zA1/X4GSTHblJWrTaPZLXkqYAjz8gus/KTsGYvAQNflWSJxJMWFyaC4qCZF1KOS25vcnmRk2rC8u2HsGCidl47tMq4QtZG+8Zjz9sEys0/mFbBV75eTEWvXlebGBp2UgkaBkwcgqpBulE6OJMIzqcHmxcUIzTzS7Mf+0bofwTMwuxeka+oEbPKmiUl+Ri45c1wnHrLW787OWv4PZxeOe/rkVloz1i/DVaPSh/8zvBFhWkATI6+CIpRVHgeQ5PzipCgOfgC/C4P8x+LS7NRZJeiYe2HMQ91w3BA7fkgZFTEcmi5SW5aHN64Pdz+OhYI5ZsPoAFE7Px8ufBtvy6ZCh8AeCR98LG9lQzqttsmGJOwfDySWiyuZGiZ1FxzoYl2w/gjuKMiIRUjTJ6gjfP8xFlyktyQYEXiW1lmlT4VUku7lj/ZYSdBnBRGx7Nzg9L1mFfTVuE08Lx0n2vp8XporXrlhHJwj3pi3lxoJOdoMaUglT8YuN+0byandBzNtXv5/DewTrRWF89Ix8zitJ6RAxLyfAozkrAPWH2ZeU0M5QM3wOtJxAIAx2p+eO3U4YLApjhPsGvNx1Au9OLNXNG4aZhSdh6+FyEn/LN6Vb81/U5gq8UKnuy0Y6XPq/G4tI82N0+vH+gDncUZ+CBML//j7cVIF4jh9vL41inSMOXp5rx9JxRcPkCONPqgFGtkPSV04wsnp4zCiadAmlx8SgcHIckHQuO41G27vOIefjNe69BgOdF9ZSX5OLJj47jvhtz8UVlIxZMzIaMBorS47DpmzO4fUw69EpZhDhXyD9j5BSWlo3Equ1H4fZxKM40YE5xhsj+rphmhsPtg9vrw+B4FotLc+H2BaKKn4bINKnQbPfhF298C6OawcLJ2chJ1EIpl+HRD48Koq2htjzy3hEsnJwt8lf9HC8SnXD7ODyzsxJPzxmFn7/yDZ6YWQgDS2N9p4CEUaNAh9ODI7VWURmKkhZKS9IF10uhee1sm/OSxECPNVqFtUFo36XvH0FeshZFg4mIRU/RF+I/F1ojh44dzR8alqyLKNvu9CJJx+DJWUVweP3QMHI4vT40OjzIUoljF1XNFlS3ODA2K07Sdhg158ODNEWhwRIZz8iKv3S/L8ekxspp+Vi29YjI//rX8fqINcsfbyvA9MJBIr+PpgC7h8ODb4t90JljM1Db7hK1cdX0fNjd0YOkjAwoHZEqskXLy8xgvj2L2cUZeOPLagwysMhJ1l3yeQ5U+jp2SBDT23bJpGEkbZDHz2HLobrOeAgPnVKOFpsbdR0ePPJeMPazYlsFjGoGcydkisbtqun5WPZ+hTD/SvUfvUqOBqtHiIuExt7zu6vw3KcuYVzHqWQ4JxFL1TAyPPrBMbQ7vVgxzQwfF8DpFofQb4HgXPmbtw5gcWkuHt9xIqItob5Og8fNI1NFfX5Z2UgYNXL86H/3CGVkFI9fXp+DFWF+3PKpZsgo8dqR53k4vIGINvN8bGvMJptY5HD3iSb8cnIOVmw/f9yV0/Ox6ZszWF5mjtguJZIZsnVd1+6MjIzpK8m1k29EfUNT1N8bmxqvYGsIBEJ/xqRV4KYudnvlNDNM2r5NFiUQCLGREa8SRGPD/cYMY9+KmWcn9v7zHAKB0LvolHIsLs2NiOHpiFgmoRch8wehryB9j0AY2KQZlbjvhhzhK9+h2EaaMfb3lHsDYlsIhIGP3eNDTasLz31aFbG9LyH2hUAg9AbEthAIhN4gSRftw3t9u14jEAixw8gpnGv3RMRdkgaTuAuBQLj6yDSxaHPE4W6RpogZmaaezT0nEAi9g56VS64/uvueS/dVBQj9kjOtkQlBSzYfwJlWx4A4/rEGh5AoGSq/bOsRHGuIrXyApwQRrFD55VsrEOBiS/pR0DR+eX0OXv68Gut2VeGlPdX45fU5YGSxDRmb1y+ZXG3zxqY+KaNlQnJTqPyK7RWQ0bF94dHj5/Dbdw5j7c4qrNtVhbU7q/Dbdw7D449NCAwA3F5O8hw8vtjq4Hgeq6bng1UEr1koQY5HbMlgHn+U48d4DrUdTiExdt2uKrywuxq17S7UdjhjKt+bhBLwbl27B9+3uyMS3Vdsr8DCyUNRXpKLP+04hqFJGiwuzRVdy8WluRgcr8HqfxwT7vNb+2pR2WTHZyeb8F2dRRAmCNX7zM5K8DxQXiKu6/6b8nCuw4UHfzRMtP2BW4bh5c/PCOUzjCosKsnBopIcGNUMGqzihL3Qfq1hyo1uH4dV24+i4pwVa+8cDQ685LmoGRnOtrnhD1DCAj1U/qEth6BnFVgwMRuPzyzAwsnZ2PhlDeotbqEOg0oulHF6A5J9J92oFtkimqYwxKTFMzsrwfFAq8OHB94+iJONDiHxPLx8u8OLmlYXHttxHEl6FXwBHpv2ncWCidlYVJKDBROzsWnfWchpGhX1FsEGUhSEugabtEIipXC/t1Wgw+kHTVPITtRiQnYCOB74zVsHUFaYJiSZhu9vdUUXxWPksogya3dVgqJoTDGn4IPySfj7wmuw9s7REecZujax2PBo+9S0OQTRq3C2HazDY7cViO79mjmjkGXSRD2XyyFau8LvSbRzGuj4/RwOft+OHUfqcfD7DvgvweZfDJsnIDmv2jyxCTTGQkW9JaJPPvLeEVTUW3qk/nNt3gj7smxrBc61ka9aEAgE6fnjsR3HEeB4LJycjRfnjcXCydnYsDfog4TmkUPnIm3X2l2VuG3s4AjB0Gd2VqLZ7kFZYRp+9+5htDi8knP97989DJ6ncP/mA1i7M7gWKRmegj/tOIYzrQ6s3VmFAAdJf4fjgPs3H0CTxYu6dg8mZCcgO1GLs+3SYkwOCb9p7a5KlBWmYdn7RzAmKxHvfFuLtTursHJ7BW4eOQgvf16NRz88gWd3ncS6n4zBkpvzsGDief+sptUFh9sXFOC8OQ8P/WhEhP1dvrUCGqUCmSYNKhvsCHA8CtINEeuH5VPN2H6oTvh7aZlZ8HHrLW6s3VmFqmY7Fm/6DjWtLtE53D4mHW4fB67L8iPaV46s7qAP+9THJ9DmDGDhxv1YvOkAFm7cjwarF5kJYtGq9f86JbneCf0dmtek/KILiYGG+lfX9oV8X0L3CV+P3fXiV7h17R7sqGgA17Wz9DABnscj/zFC1Gce+Y8R4MLWyNH8oQAXuY5aNT0fy7ZWYNGb3+HhLYex6M3vsGzrUTRaI7+o02wPxigonpK0HeDPx0psnijxjMv4mkZFgw3PfVYpWjM991kVSkcOkrR9Xf2+BqsnYv20fGsFOA748z9PiLYvff8IGHn0mIkngAh/dsX2Ciy5ZTj+8lkVyooG4/RVtDaIhepm+1W/RhooXAm7ZHF78citYhtUXpKL7YeCopx//OAYHt5yCDIZhWXbjgrzaKPNA7ePw+1j0iPG7dL3j6CsME34O9R/OI5HdbMde0+1wBfg8fsu8akV2ytE5ZZvrYBepYzwF57ZWQmr2y/Mjcu3VsDi8qOmzSE5V8armYi2AOf9vHitEk9/clJ0jJXbj0LNyEVlajvckrGb2g7xXFxvdUvay3prbHO2mpGLfIRJeUkR8eBl7x/BxLwUPL+7SmxLP63EsUZrRJ1Stm751gp4Av1XALo3Yxl9RX1DEyY88FLU/wKBgX+OV4rGhgZk5Zmj/kdExQgDHasrIBmvvFD8n0Ag9B9cnX5iV7/R1cf+jM3d+89zCARC72J1+6BWyLBwcnAduHByNtQKGWx9nPBNuLoh8wehryB9j0AY2NSFJWMC52Mbde2RzyuvJMS2EAgDH41SIfmujYbp248IEPtCIBB6A2JbCARCb6CgKcncPQX5QCaBMGDocEq/U9Lh7FsfgfguBAKhN2iPYvPa+9jmEQiE2NAoZZLrDw0Tmy5ONMjn4q5SGqMI1DTZ3MhO1EYp1X+O32j1SJaXSuiUoskmXb7ZHlv5DrdP8sXVF+aOjam82xeQPL7HG9uLr20O6fa3OWJrf0OU69cQ4/UDgNYobWh1xl6HRinDk7OK4PD6oWHkoC9Beq+5m/ew0eqRTEYbk2FEVkLvj4ELES604PL4Jc8zwPGCmECL3YcPD9fjiVlFcHn8UCvleHH3Kfz0mkyhbKqBxdwJmUJSYnlpjmS9QxI08PgDeOXucThRb0WyQYXHdxzDvAlZ0HW5X86wFylZBY06iwvrdlUJE1CcmpFUaIzXKCKOy/GAyxdAi92LDXtrsGBiNigK4Hlgw94aDI5Xw+3not73dqcXz31aJZxnu9MrHO+PtxXg1c9PC/vb3NLX1Bc43xeabG5kmTRC8mSA44X+Ei5cFV6+w+UX/u3y+GH3+HFHcYZwzUNJpBaXD05vIOK6BMewtPBCi10sxBOyodHa0uaMLtwT1f7ZPILYVnaiFntPtUS10zwvfdxwGx7NzmuUcmw7WIfyklzRtVly8zD8R34qigbHocnmRpKORZZJA7qHA6nR2hVNVOJKzYu9jd/P4b2DdYJwAqugsXpGPmYUpUEu777uaXfn5ViIdo8aLG4UDe5+/Y1RxkajrW9fviIQCP2DaPOHwxvAul1VeP5nY7B2Z1XE79GEQd1eaX+E4yHM7+H/7rrf0XNWwV8CgE37zqKsME0QdYp23NB2h8ePpjBtBA0TqaydaVLBHsUXDbWr1e7G7WPS8dynVSgrTBMJuNa0urDob99i4eRs0RcYWQWNlDg1Vm0/inqLG8/eNTqK/XXjyY9O4FcleVj3wTG4fRyKMw1YP7cYjVY30o0qrP/XKZQVpgl+Y4cz0pfiovgtFBVsS1dXw6hWSPqwKiYYHpk9dnDEWnDNxyfxws/Ea0GL2wdGTmHh5GxwPEBTgD8QgI4N+sKheW3L/toIv+hCYqBapbQKurabKuiE80QTTh1ePqlX/UKO55AWx2L93LFod/hg1CgQ4Dhw/Pl7Hc0fqu1w4evqVrwwdyw6HD7EaRRw+wKCAFz4vk4JAW575xopWqwg3KfrupY5X++lP0RosHokv9LaYo/Nt2yNIlzn9XPS8QpH9HVSNH+22RZso9vrh1GtivncBjp+P4eKeutVvUYaSFwJu5SgZUABQRvk9CFJp4Tb78dTs4uwcttRQXCxw+kTzaMmTTD2E81nocLmWaOaQbPNg6PnrKhssmHzvlosnzryouVC8b5ovtN9N+YI+9s9fuhZ6blcHTZXhvflkJ/XGiUm0+7wicpEiyt1FQSMtp/dHZu99AYCIh9BRktfY5fXL2lLpdbKV2Lt3pP0diyDMPAJ8DwmPPBS1N/f+c1/XMHWEAg9T7RYfhOJVxIIA4L+6nv113YRCITYYeQyvPLFaSE2HuCAV744jSdmFvV10whXMWT+IPQVpO8RCAOb/jqG+2u7CARC7LQ7fXjglmF48qMTwjOkB24ZhnZX3woEE/tCIBB6A2JbCARCb1Db4ZbO3TOqMTqzr1tHIBBiob/mwBHfhUAg9AbEthAIA5t2lw9pcawoxzItjkWHu3vxXJJJeZWSrGclE4KSdOyAOH6yXilZPlmvjKl8kk66fKIutvJRhay6bItGgiaKQJA2ti+RJGil25+gja39qQbp8qkxXj8AMEVpg0kdWx08gJpWpyAuFBJPivUepEQ5h5QYz8ERRXxAKin4ShMutKCOkuhO0RTqLe5gv9Uq8OOCVDz09kHRtTRqz/ez28ekC4lzqQYWuUm6KAn+Mvx60wHcOykb63YFhaVuH5OOwsEG7DvTjmXbjoqOMe/aTDyzsxKLS3OxYW8NgPOiYivKRmB5mRkrtlcIZVZMMwuCU+HHpSkgScdCRlGCqFX47wlaBgCQGGXsajqFCeotbmz8sgYLJ2djsFGN79udyIxXYe/pNmH/RJ30+DOoFEg1sGh3epGoZbGjogEnGqxgFTSabd6I/bv+zfPn/61WyqFXK/CnD4+JAoOb9p3F7348EimG8zYwXPwgXiudrGnSMKJrFrKh0dqSoGGw40g9Ug0qmFP1ouTAJJ0SmSaV8GIsAGw7WBcx9i5mpy9mw6OVT9Yp8fCUEXh8R/DayGigODMe12WbIJfTghBXbxGtXakGVZ/Oi71NRb0Fz+6qFImmPLurErlJWhQNNna7/u7Oy7EQ7R6lGHrmHkU9hxjnJQKBcPXBcTzOtDrQaHVDzciRaVKJRGVC839wHokyv0SZd9Lj1ZLb6c6kldC/OV56zs1O1AqCGCGxTTkN2DuFaBqtbslyHU4vyktzIJNRSNIr4fdzkMuD9npxaa7gm2eaVPjl9Tk4Vm+N6vewChrDUvRotLUAQFRxhgzj+XMN+ZCPfXBMENSIZn8TtEqUFabhkfcOCz5syfAULNy4T1TXhr01Ql3rfjI6oi4ZJX0NaQpYM2cUGDklap+akWH5VLMgdsUqaCwvM+Ol3acABP1RSREKX0BUz6rpBUJbw4/7j19NAnB+Xgv5ryG/aHJuIsZkGKOKgaqVdGT7ppqhYogYRE/RV8LhrFyO6mZXxL0dmaoT9onmDw2OU2Ha6DTsr2kHxwOyFiAnSStptzLiI0XWQmukaOMxKcwfiraeCq3ZLoWUKMczqKTXRfFd1kXR4gJGjXR5zQUE46LbIgaLS3OQEa+Glv3hhEkr6i2o73Bd1WukgcSVsEs8T6HB6hXZoJXT82FkGcwck45mezXanV7EdQpGhubR0LzZYJHuL6FYSaqBxbxrM/HzV78W+S8aRnbBcqG/E6PEIXOSxD7Ro7cVIC9ZK/JrQj5DbbtTVDbUl0NxAq2EMGjQdshEZVQKGcpLcwQB0i37a9Hu9IpsJQAMipO22amG2NaYJo0Sm/adFdbx0WJ56ijtllorX4m1e0/S27EMAoFA6O8MNLtNIBDE9Ncx3F/bRSAQYidZr8Sd4zIi1r1kHBN6EzJ/EPoK0vcIhIFNfx3D/bVdBAIhdlL0Sji9flHilEnLxJxD0FsQ+0IgDHzC3xlN1vfOR70vFWJbCARCb5BqUErm7hHbQiAMHPprDhzxXQgEQm9AbAuBMLAxsArUtbtE26xuP9Lj1N2ql2RSXqVkmTRYM2eUSEhlzZxRyDJFJkT2x+PrVDRWTjOLyq+cZoZOFVuXTdLKsWp6vqj8qun5SNLGltQ4qDPZMpxgglFsiZ80TUm2XxZjkNTm8eH+m/JE5e+/KQ82T2zKd3I6+CJcePnFpbmQy2If8i6vH8vLxOewvMwMlz82ISmXNyC8mAecF09ydSbvXwwdK8OKLtdwxTQzdKwspvKZ8RrJeyiVFHylCRc5enH3qcjrPDWYiB+679+3OyWvpVGlwMrOfk5REAQE5k7IxJMfHUd5SW7E/Wu0urG4NFcQDKi3uPHcp1Wwu/2SxxiZqse6u0aLBAhCv9dZPXjz6xo8MasIj88swJOzipAZr4LHz0X0vcJ0A7JMGngD0v3KFwhg28E6uP1+rJ5R0GXs5MOgCiYhLirJwZzidKTolVjz8Ums3VmFcx1urL1zNBaX5qAwTQ+r24dlZSNFdZSX5GLl9grMLk7HmjmjIKOBJZsPYPO+oEhVs80t7B8Srup6Du98WwtWQWNp2UhYnB4wcgr3XDcEoWElp4F7rhsChRwwp+oFG1hvcWPTvrNYM2cU5DQk+3WqQQmO41HdbMfeUy2gKeCp2aOw7WCdZFs6XD788o1vccf6vXjvYB38/vMOfmqcEvfdkIOXP6/Gul1VeGlPNe67IQepcWKn/0J2OhYbHm2fjHgNpphT8Ord4zEp14QZo9IwMSdBJNYFQHS+1c12cByPniBau8LvSbRzGsi0Ojy4ozhDdN/vKM5Am6NnVI/jNTLJec2ojs0mx8KIZJ1g04RjTM/HiGR9j9SfqJVJ+gaJup47BwKBMHDgOB47Khpw69o9uOvFr3DH+r1YdGMuMk0qAOf9h+2H6jrnEQNemDsG6+4ajcdvL8C6n4zGC3PHoGCQAatnRNqu6iZbhD+/uDQXJjWD7YfqsHpGPgrSDJJz/R9vK8DjO46J/LK1uyqRnxaHnCQtWAWNN748iwd/NExU7uEpw8HIaKzfXY0H3jqEea98jfcPnYPXG0BGvAY5SVosnJyNRSU5ePCW4VixrQKfHm+K8M1C5724NBcczwuiWCNS9ZL+dYPVjYWTs/HU7CI8e+doDI5XYXZxOhaV5GBxaQ7UjPTartnmEnxYACJh19B5P7OzErOL04Vybp8/wpfKMmkirsWq6fm4ZWQybhmRjJJhyfigfBL+vvAa7Fg8CQYVg2Q9g/Vzx+LJ2YV4cW4xtnx7FofqrJ3iFazkecapFEI9H5RPgkJGSYqWNNuDPrM5VS/0jXqLGy9/Xo2MeDVGpcdd8OUZGUXj+X9VYcHE4L1aMDEbz/+rCnKahG96ivD1WIiQ+Elv4vQGBAEaINhfVmyrgDNsjRzeb0LtWj0jH3IZhQaLG+t3B329F3ZXo7bdhSdmFQrrpMWlOVj3k9EYkhDp3+Yka7Bqej5kNC85Hg1hPp2ckh6zisvogwWpBqyclo9Mkwr33ZiD8tIc/OUnY/DpsQYs7bJmWznNDB7iNUGyQYmV0yL9N6Wckox5MLLoY8ugivRnl0814/EPj+OF3dU4Z3EjL1EXtfzVQPgarNXhgUohi7iOq2fkXzVrpIHElbBLUjZo2ftHsOtkM5y+AOZfl4nHZxagts2JJ2YW4qYRwXkUAAwqOcyDDJJjaPuhOgDA7OL0iLjS2l2VUDPyiH62ctr5cqG4iNXtjfCdVs+I9Il+9+5hdDh8GDlIJ/g1CydnIztRgyEmjchPC/XlUJyA4zlJ2yGjKRRnGoIxDaMate3n7e1Le6ox79pM/HlWIQpSDaJrOjJF2maP7LJfNLJMGjw8ZYSwjn/yo+MRa9bVM/Lx+hfVEf7i6hn5MEscR8rWrZxmhkHVc+venozn9HYsg0AgEPo7OqW03dYpSbySQBgI6FTde5bdW5iiPM+J1xDbQiAMFDLiNchN1orWvbnJ2n7xrgvh6oXMH4S+gvQ9AmFgo1fJ8MTMAtHzyidmFvRoTPpyiPaeG7EtBMLAwRfg8Nt3DmPtziqs21WFtTur8Nt3Dkd8qPlKQ3wXAmFg0/Wd0VvX7sGOioYey2G4XIhtIRAIvYFSLp1X2vUdNQKB0H+J+i5gD+bxXQ7EdyEQCL0BsS0EwsDG7Qtg9T+OieK5q/9xDG5/bJoy0YhNFYgw4KBpClPMKRhePglNNjeSdFderZ6RU6IvcTDy2I/tcHHYd6YFr9w9Dq12D0xaJd779iyyJRI6pWhx+JCgU2D93LFod/hg1CgQ4Dm0OHzISrx4eX8AeHxmAU41O8DxgIwCshM1CMQ43hyeAJ77rEr4mj3PA899VoU/ziiIqbyakUOjlImun0Ypg5qJbcjWdbiwYW+N6Pgb9tYEE68zjDHVoWLkeH53haiO53dX4c+zimIq7/ZxkonhXbdFo8nmw1+6XMO/fFaF1TMKMCzl4uWHJGjw1OxR+M1bB4SvZD41e5RkUvCVJpSAt2TzARyqs4L59ixe+fk41FtcSNKx8PMc5l6bBZ1SDi0rg8srfS33VLXgrX21WDg5G2MzjGAVtEhAYOOXNVh0Yw6SdEokaJWoarJhbGY8ErU+fN/mxNKykVi1/SjcPg4Ob0DyGE5fADRFod3pRaqBxe1j0kFRwTExJtOI9burUf7md2AVNB69rQA8eHTYPVh312j4Ajz0KjlS9SxomsJXp1sR4Chs+fYsnphVBJfXDxUjx4YvqlFemoe7r81Ci82HdZ9WYsHEbMhoYHSGESl6OQ7V2rF+d7VwL/8w1YxELYN2pxdVzXaoFDKwChn+c3I2dEoFanxOUd/Z+GVQyGv04Dhcn5eEr063wu3jUG9xY+OXNfh1yVA8MasQVU12cHxQ1OqFn41FdbMdOUk6nG6xY3ZxOoan6PH8Z1U4VGfF5l9eAw0rg0mrg8Pjh4aVw+3zQ88qQNMUGDmFJ2cV4WSTDQEOWLX9KBZMzMKOI/UR5z/YqMLxBjuO1lsFmzMmIw5/nFGAEw02vDB3LJptHijlMry4+xTir8kU7tEj7x1BbpIWRYODY7vR4sGyrV2SW7dW4I0F45Fm0Ii+YnLLiKAwhNQ8cbE55GLzTCjhtNHqFv4O/RZ6kLRk8/nxuWbOKEwxp3R7nrpQu/p6XuxN9CwTIR6ydlcl3lhwTY/Uf7rZjWPnOvDa/PFotrmRqGPxz8N1MKoZ5Cb3yCFwtt2Jzd8ExfVcHj/USjle/6IaYwbHISe5+6IEKVoNNIxTPLcyMqRo+35eIBAIV54zrQ5hHgKCdnPp+0ewYf54NNs9SNIpIZdRmJKfgiyTBhzHo9nmxSPvHRHmrtUz8kHTFMrMqciMV6PB6kGKXgmZjIfDzeOR9w9j0Y05SNQqoWXlUMhoMHIKT80OinIa1QxenjcODVYXNswfjzanF/EaBo1WN2paxSrYQX/ND4DH+rljYXH5kKRX4uk5o2B1+6Bh5EjQKXD3q/tE5/T7dw/DpGEwITMeHM8jL0kHh9cPvvP3SXlJgo9/usWBrAQNznU4UVaYhg17azA0QYuxmQZcO7QYHMdhWdlIrOz0H0MCoTa3D94AIKOBF3ZX4eaRqSK/bWSqHga1HK/ePQ4tdg8StEpY3V6cbnFCpaCRaVKhrDANGUYV7p2UjS37awUBVrePQ26SDo/fXgANK4eMAlINLF6cW4wOlxfJOhZOnx+ZJjW2/HICTjU7UdVsx5qPT6Ld6cVTs0fBPEiHRqsbqQYWR+ttIv/jiVmFkNHA3ddl479vkEHDysDKgsIwITGP0MNfpZxGdqIW2YlaABAEwrp+cSBRGxQtoWkKiToGT84qgsPrh4aRQ6eSXdT3cHoDqGl1ib7CFNpO6BnC12Phvmhvi/+0OrySa642h1f4Wy6nMa1gELJMGjRY3UjRsygcZMDXNW0RAjN//+YskvSsaLw9NXuU5LHjVCxuNifiwFkLshJYbJg/Ho02N5J1LEAF0GDxCOtsq8ePzfvOr9nUTNAn+/VNwy75nBlGhmEpaiwuzcPv3j0stHP5VDO27D8rrPtGpOihYmiYNGLx3habF+lGJV6fP17w4SmKA0VRSNIrI/y6C9Fk8wq2qNXhBXhg/e5TOFRnBQD87t3DKEwz9Ijf2R/pugZbd9doPLbjOIxqRlg70xSQk6i9atZIA4krYZei2SCOB57ZWYnX5o/D2VYnVv3jmMimmLQKvPfd9/jphCHQsQq8evc4HK+3YniqHm6/Hw/eMhwOjx+JOiWMaiZCRL3B6kZ2olo0Hxo1MjwxswjNNg8SdUrY3R6olQyyE2lsuGc82hxeaJRyeP0BSZ9o54kmDE/R4/bRaWiwBm3Z/rPtEX4ax/GgaUqIBxyu7YCGkUXYjoo6C/7nxyMxJsOIM60OIZYYOt4zOyvxwtyxEWNDLqcxoygNuUlaNFjcSDGwGJaoQ0W9BfUWN1INKphT9ZDLacmvygLi+LmGkUGvkoval6hj8PjMUWhzevDGgmvQ5vAiWa+EOdUAmqZQ3WwX1Rlu68L9rmabN6Z46sXo6XhOb8cyCAQCob/TbPdKPgtNMbAY0deNIxAIF+X7Vjd2HK7HC3PHosPpQ5xagdc+P414NYMRqX3XruoLPM/JSeq7dhEIhNihaQolw5KRnaC9Kp9rE/onZP4g9BWk7xEIAxuVQg5vgBc9rwx+QKJvUxMu9J4bsS0EwsCg3uKRfLZZb+nbj6kQ34VAGNhIvTO6ZPMBDC+fJLwT2BcQ20IgEHqDug63ZF5pdoIGBel93ToCgRALNncAWYkq8TvfNAebu29zCojvQiAQegNiWwiEgY3N45eM59o9RAiLEAWapkSJuleSM60OLPrbdxFJwR/EGCRsdnixeX89Nu+vF20vifGtUYVMhgaLEyu2VYgSLeNTlRcvDMDL+eGTeEDr5WIbcE6vv1vJywoZjRf3VKOsMA0UBXA88OKeaqyJktTalUSdEu1Or+j4rIJGoi628weAFrtH8hxa7bE9RDJpGcnEcJOGiam8xyedAO7xxW70lAqxGJtS0T9eDJQS5Gl1ePCbtw5F7Pv2LyfAz0kn2Qc4oN7ixtqdVcg0qbC0bCQarW7RfjRFCaJIoX7cZvfA6glAq5Rh0Y058AY4pOhZyWOcaXEgUafEqulmtNi9IkGAFdPMWFyaC4c3gGHJOjz50XH81/U5+NvX3+NQnRWsgsb/LbgGh89Z8fCWQ3D7OLz9ywkoHZGCh94+KBIW0DJytLt8ePyfJ+D2ccJ9ZxU01s8dKxJFA4C//qsKq6bn43SzA1u+rcUd4zMEUS9WQeO5n4zB4//8NuJ8MjtfEE0OO996ixtxWha17U7RmH/wR8OQn6bHQ28fwh3FGXhrXy3anV4smJiNQ3VWUAB8AeCR9w6K7AxNAd+cacOiv32HeydlY92u833YoGKwr8aCfTXfie5zh8uHmlbx8ReX5uK6oSZ4Axx+sXG/aLvT6xfKun0cGixuFA3urMvpk3QYLC5f1GRFKbscmkOyTEHxrK9OtwqJlaGXbKPNM9ESI28ZkYyz7U402zy9+iApWrt6Yl6USl7tDy8de/3Sgnk99QUsg1qBXSdboGaVoCjgRKMdu0624MeFaT1SPwDUdThRMlxsH8pLclHX4ewRQYJjTTYseetghF34273XYExmfLfrvxror/2bcPXQn/pYV58JCNrNz0+1YO3OKrAKGqum5yMnCTjTCthcPkFcIbTvI+8dwYgUHY412ETCC8unmpEWp8Sd4zIixJTyB+nxpw+PYl+NBZkmFX5Vkisqu2ZOEQBK0i9j5DROt3jw0NuHYVQzmHdtpqj+pWUjJQUovj3bDgMrR3WzQ9h/cWkOWAUNigJqWl040WjDS3uqI47JMjQqzlmhkNF48qMTMKoZLJycjZxELeo6XFi3q0o4HqugsWZ2EZa8dRBGNSMIqGqUcty7YV9E3U/PGYVWuxv/fUMOlof5q/fflIfXvjiDeosbrIJGZZNNdE+qmmx44O0jorpevXsc9KwSD3X6nCF+89YBLC7NxeM7TqC8NEfwtYCgEFlduwsPvX1IdI/Mg3QwqRVBwY5OsVOn24eWMLEiICj8JSWYJev8WNKZVgd+sTHSH73YmjhZzwriYCHfd9vBOiTrWcn9+9O4Gij0lUBqQpQ1cryGEcRaOI7HJyeaIvxoOU1F2KyywjT8vlNcCgiO99+8dQDDUyZhaFJkH9MrlUjVK3Gw1oZlW8/bnZXT8lGYft7X4jgON49MFflk99+UhwB36X7l2TYHWu1+QQQr1M4V24Ki2+Hrvtfnj4sQ/aFA4WCtVTTOnp4zCjIZhUCAC4r7hcapx3fBe6hnFfjPDcF11aKSHNE6LdSu062Oq1YIq+vLfNUtDmE9HB53mTDE1FdN/EHTHbsU6zwQzQbxfLD/e/1chKj2b946gA33jMONw1NFcYnlU83geQ7H6+0R8+CGvTUi36DV7oGWVYjE8JbcnIdX/30G7U4v7r8pD6ycxmM7xDYnxcCgvsMTNR62ZPMBfFA+CROyE3Dw+3ZJPy1cNJymKVg9PsRrGcRrlKI5/q//qkZWQlAELpqPuL+mHRpGDl+AE11nmqagYxVwegPQswpsr6iPEOSaVjBI0raPTNVh1fajwpyfblRj8d8PSPoO47LEYzNa3CXNwAq2LryOTQsnXLQvxUJPvxjc27EMAoFA6O9wPIehSQbc89o3onmQ4/v2y+MEAiE29Co5qlsd+Pp0uxDDqW51QKvq21dwrsTzHAKB0Pv05ftehB8mZP4g9BWk7xEIA5sOhw/P7qoUvdf57K5KrL1jNDL78JETsS0EwsAnWa+UfE6YrI89D6I3IPaFQBjYRHsfoMnm7tMYDLEtBMLApz++x6tj5ZJ5pRqWpJITCAOFAMfjRIMdLQ4vOB6oarLDpGEwLKVv33MmvguBQOgNiG0hEAY2akYuGc9VMbJu1Ut3t2EEghTRgoSNVneUEmK0ymCHD4dV0NAoY1twO7wBQQQrdOwV2ypiFqKSU3LJBCo5FduA07LR2h9beZvbhzuKM/Dy59VYt6sKL+2pxh3FGbB5fDGVD3ABrJhmFtoQEi0KxCjkBQDxGkbyHOLUsQlZySgKi0tzRW0IJobHFsyJU3fv+KdbgmJsa3dWYd2uKqzdWYVFf/sOp1scMZXvbUIvLk7ITkB2ohYmjVLyfBUyGsu3HkF5ifhalpfk4p1va4V9a1pdsLl9yEvWCfvdPiYda3dVRvRjuzeAdbuq8L+fVIKmKEHg6f6b8kTHuP+mPGzYW4NH3juCVINKSG4M1bV8awXsngBe2lON4w021LS68IdtFbh38lBhn3MWtyCCBQCtDi9S9CwWTs7GopIcLJycjRQ9C5vXh4x4taTdcHgCkuOhw+mF28/hxwWpgghWqMzK7RVYNT1fdD6rpucLidVZJg3WzBkl/K6U0/hzpwhXqI4///MEvH4eNa0urN1VidvHpMPt44SXNvwBSNoZj5/HnqoWYXv4fQ09nO16n00aJuL6PrOzEi5fQHK7I8yWsQoaKYbzwgh6lULyGDpWIZmseKY1+pgIJVbeunYP7nrxK9y6dg92VDSA4y6ciBMtMfKL6lbcunaP6PqECD1I6s9c7vW4EqQYWMn7Hk0041KhKeCX1+eIxuEvr8+BrAfj84xcFmGz1u6qBCPvnrMboskm/ZWwJlvffiWsv9Cf+zfh6qA/9TGO4+EP8JJ2M5Rz7/ZxWPr+EdR3uHHr2j042+6StCFtzkiBrBXbKsCDEr6ks6gkBwsmZmPD3hp8U9OOeddlAwiK2HQte6LBhvoOJ5aWjYzw/U7UW7Hm45Nw+zjcPiY9wkdYtf0oZheLP9MTOierxy/af/O+2qBvTgX32bK/NsLfXFo2UvDdn/zohCCYsnZnFR7acgh2TyBCdMsb4GFUM5g7IVOYMxqirA158MhK0AoiWKHtT39yEj+9JkNYP7y1r1Z0T5L0qoi69la34miDVfI48Z3rB65T6COE1DV8ZmclVIwcHW4/Hnj7IB5+5zAeeOsgOtx+JHQR9K23uCXvcUPnmvdCL85ciAyjGr8qyRXNub8qyUWGUR2xb38aVwONruuxK/HSgVJOYflU8Tp9+VQzvm9zCD55ND86Th3p48toSPaxs22R/n2or1hcAUEEK7T/sq1HYHWdX19olHI8/cnJiHEZazwmnCabBwdqOyTbSVHivy0uf8R9sHWxXW4fh2MNVjRYXOB4SjROOZ6C9wLC2W0Ob0RQNRxWQYNV9Izf2R/papO8AU46btXNQDPh8rkcu3Qp84BKIYuwQaHYEqug4fQGJMeq189Lxj4UMpnkPBryRVgFjUdvK8DIQfoIMbw1H58UYixPf3ISrU5vhM2J17DggYjYYqjN4XNqvUV6zm2wiOdctUIOmzsgsh3tLj8YOYX4znk+SSsdtwlwwVhj+HX2+znR9X/3QJ1kPPnQOYukbW+1e0XxrsomW8y+Q7T5otkuve5t6yLoeblcrn8Tjd6OZRAIBEJ/R6tUSPreWoa8fEwgDAT8XAC/nNzlucnkHHCXISTdk1yJ5zkEAoFAuPog8wehryB9j0AY2LQ6PJLvdbY6+/ZdLGJbCISBj14V/KhX+HPCldPyoVf1beoTsS8EwsAm9CH1cFgFjSRd3z6fJraFQBjY9Nf3eFUKmWROp/oqfkeSQLgacXgDWL876CO8sLtalE/aVxDfhUAg9AbEthAIAxudUnr9oetmfhJ5k5YQle4oUqsZOW4ZmYCfThiCdocP8RoF3vjyNNQxdlgtI8ODPxomCNOwChoP/mgYtDGW75rgCFxa0k+z3QOjmsHtY9KF5Mwt+2vRbI/tAS0F4JH/GIEmmwccD8goIFGnRKy5tcooYiCv3j0utgpAo7KhA6/NH49mmxtJOhYfV9QhI35QjOWD6t/P3DkKPj8Ph8cPDSuHQkZBF6P6d5PNja+rW/HC3LHocPgQp1Hgtc9PY2iMX0todXjxwC3DhKR7VkHjgVuGxXwPa9ocUZOChyb1v69mZhjVWD+3GPtq2sDxwLaDdXh4ygg4vQHUtLqw8csa4ctZw5J1ePKj4wCA5WUjkGnSwOENwKhW4OU91VhaNhKrth+FjpWJvra1ZX8t6i1uZMSr8cAteXD7OXj8ASwuGQodK8ffvq7Bn2cV4USjDTwPvPbFGUHcIFpSoYwGVk3PByOj8Oxdo/Hi7lOgACwqCTqZHMeJk239PCrq2nCTOU3UN0tGDkJq58OFrsnJ8RoG93dJ7lu7qxIvzivGQ1sO46nZRRFt8/p5JOqU+POsImgYGWrbnchOUOPbs+2wuX1QM3Lkp+nw2vxx+OJUK9w+6YRPp8eP//nxMKTFqYPXqjQHrEIGVkGj9QJ2RquUobw0B3KaxtNzRuFPO46hptUFNSPD7348XFDjllGAScOAh3QSe4td+hjewHmRrdUz8mFONQi/29w+lJfkCjYklChqc/si6jKqGTTbPFHtvFRi5eM7jiEtjoXTG4g6N4QnRqYaWMGWWt0+GDvFKKTu9ZV6kHS581u0RNPh5ZP6/Gu8IXG3UPtYBY01c0YJ4m/dxeXl8Py/qkQ25fl/VWH19IIeqR8AHB6/5Nzr8Ph7pH41I5Psd7H6JrHg93OoqLeg3uJGqkEFc6oecvnA0J3tz/2bcHXQl32sq92nKeCZnSewano+lr5/RORrDo5X4/HbC6BXydFs88DP8bh3UjYUMkrShtjdfsm52ub2Iy1OifxBevg5HhpGhmQdA4c3AJc3aNeGpajxyt3jYHP5EKdmcKLBCpvHj+xELViGwit3j0OLzYNEnRJvfXMWg+I1wrEoCpI2c2iiVmhnSNj046P1KEzXi9oZEnF6YmYB0juvw44j9XhyVhECPA+FjIJGKYNWKccgAyt5jpnxKiwqycHuE034cUEqBhvVkMspLJ86Eo99eEwok6RTItOkQllhmtDWbQfroFHKYYty/TJNGvzlJ2Pw+/eORIhtdTh9uO/GHFAUoFXKwPNAvJoBTUnfI3WYeE/47xQl7X95OgU6ugp2vLFgvGjfZD0r+bWkkD+TrGdRnGnAvOuy4fL4oVbK8foX1UjUsqhutkf1Q862OyVFNMZkGCPGCrHdl0ZPfnXrcuZ8nqdgVMnw4txidLiCcRIZBZxstAtfFmy0upGXpMW9k4cK/ebF3adgc/tw/015QpI8q6AxMlUv2ecZiXaE+sqfZxXh2iHxuHvi+VjNq5+fRmOYMGi0NUir/dJFVFrtXijltGQ785J1WFSSAyBoE7q+aAYALm8gwtapGRni1Uo88PZBUd//w7aKC8ZMNEq5YIu0yqAgUEjch1XQWHJzHnSXIfZ1ufREf7yUOpK7rLe37A8KIoaEjEJzRqwC7D90pGwATVNX/Mt+XecBo5rB8QYrWAWNLJNG1AaXL4BknQKv3j0OLXYPDKrg+G93erF8qlkQxO86VqPN1dGEhvNTDfj7wmuQpAteg0+ONcLt41CYphfZtnanR4gXpBnO+xST8pKE8Z6dqIJJw+LVu8dhb3UrAhyw8csa1FvcwS+EKGTYe6oFiVrpL0KbtEpwHC9cA4WMihD1evqTk3juJ2PAI/jymcsfwLKykVjZKbgeEi30+QPQKOVC7GvJ5gPYtHCC6Pp3Fd0MHSOaKKjbHxDFfzk+eqyk63hvdUjHrjWsXNrv6iFBlWQ9K1n/5cZzejuWQSAQCP2dqL63g/hkBMJAQEbJ8PzuLs9NdlfhT7cX9mm7rsTzHAKBQCBcfZD5g9BXkL5HIAxstKxC8j3nDfeMv0jJ3oXYFgJh4GN1cti8rwZPzCoSvXOTZRrRp+0i9oVAGNj01+fTxLYQCAOb/voeb73FjSaLU5RXuuNwHeqtkR/lJRAI/RNvgJf8WOmL84r7tF3EdyEQCL0BsS0EwsDGE+CQqGPw5KwiQZPG7fPD080PShIhLIIkIUXqrkG+KeaUmJK45DLgphGp+MXG/UL5ldPMUMQov5hoYJDYrsTCydng+KCaY6JWiUQDE1P5ZJ10AlSSThlTeYNKjnnXZooSAheX5sKgim3I6Fg5FDIa63dXC+VXTDPHnFQpJVgTSqiPBRnNIzclDne/+rXo+DI6dkVxHQtYnH4s23ok7B7mY0RqbOUzTSrcki/uA8unmpFpii0xKknLoNHiEvUBRkYhQRtbH9Aw8iiCJ/3P7HEcj4+ONYrG29KykdAog8lurIJGvcUtJNlnmlR44JbhsLi8sLn9+O+/fSu6zxR4PPyjYdCrGPzvJ4dFYkib9p2FhpFj3adVwvZV0/NhUMtw3w05qGqy4aU91RHXbbBRhfLSHIRE6bfsr0W704trhsTjd+8eRk2rS7jHLq8P63ZVBf8uG4lMkwo1rS4AgJ6lkZdiFPXNldPy8d63Z7Gnqj0iEXf1jHzUtNilRaJsHklRpVQDi3nXZuKXb4jtT53FhYfePn89Vk7PR6peibf21WL51JGS/UWpkIHjgAc7k6xD57jkplwkaKWTRBO0StS2u0Tjf2nZSCTqlLC6fXD5ONFv99+Uhza7V7KuxCjHmDg0AeZUPVIMLMypBlHSPSuXYdO+s4LTz/PApn1n8ccZBZLX6edh96KrnW/skqyZamBxR3EG7lj/5QXnhlCStVHNYO6EzAhRrh1H6iPEuqI9SOpJwYJQfZc7v3W9HkAoAdjd52ITNE1hijkFw8snoakzUN2Tidccz+GO4oyIe8nxPfdl8yyTWnLuzTKpeqR+g0oRYWMWl+bCwCp6pH6/n8N7B+sE8ZKQDZtRlDYgxLD6c/8mXB1c6T4WEqhotLqhlMuwbOsRwV95anYRbh6ZinWfVmLBxGzIaGB0hhEurx+L//6daM5/aU81TjbZ8ftbR0QIZ5WX5EYVyErSMbhjXKYg5hmyOXEqOeLUDG4flQq3l8dv3znUaV/P77d+7hica/eK/PAV08yQUbxwLK1SJmkz49UKkf+sUcrw0wlZOHrOGtHOdqcX39S0Q83IsOSmXGhYhSAsE/JfalqcgqBCyJ8LnWNNmwvbD9Xh16V5aLC6RWXvvylPEFV1evz45eQcrNh+XnBmeZk5+KJaFJ8dCH7BpN0pFt5hFTSS9Eo8tOUQjGpGdA0yTSqsnJbfZf1iBs8Hv3zSVfRFG0Ug0RVFILXrWuxiL8akG1SYMy4TD4Vdl5XT89Foc+Ke1/ZH9UMuZawQ2x07Uj7g4zML8R/5qZc8T1/unO/nA7B7Ofx68z7RuE0zqpDcKSAyKI7FXdeI+83yqWYk6pRYuf2oyMd/59uzWDk9H8veF6/ZE7SRvk1IYCs7QY0pBeJ1+oppZmQnnH+5IZp4qOoyxEPjNQo02+QRPtiq6flo6HACCIoD//qmPCRKrPWT9coIW7fk5jzQtLTYjP0CMROO4wRbZFQzuP+mHFGQVSGjoGKuzCdDuhtzu5w6utqsdqcXKQYWi0tz4fAGQFOASkFDpeh/MZP+RjQbkKhj8IuN317SPe3uererCHXX9Xd4G1QK4GyrH8u2HhDZjNIRSVi7sxKMnMLyMrNovl45zYx4jSKqaLnU9lSjEgVpRmGbhpGhONOAmWMyIubE/75hKP74wTFhHg/3F17qbN+jHxyE189H2ILVM/JR/vfvUNPqQnGmIcIeLi8z408fHsU9E4cK18DhlZ7jTzXbcdOIZABAbbsLlQ0WvDh3LCwuP1y+oPD8qn8cPR/7KjPjza9rJOdhqWuSEkX43eMTi8dv2V8rGSvJMKojxvsTMwvxX9dn49EPj4vmFD7M1oVfCx49s3bPMKrxq5LciP6fYby8l+R6O5ZBIBAI/R0dK70m1rDkK7wEwkDAFwhIPjfxBfr2K7xX4nkOgUAgEK4+yPxB6CtI3yMQBjYdTmmR7w7npX9gpychtoXw/9k78/ioqvP/f+7s+2QyWUlIwpCEJRtCQLSACmqx3wgKiNYWVPBHbbVQcatWoIDVqoiVQutaFbQKigvwVauyFP0qKqgsYUsIJAayTiaz7/f+/pjcm7mZO8kNSUii5/16+ZLMzLn33HvPec5znnOfzyEMflp9QUwdmcZbX1w8NQ92X/9uIkDsC4EwuBmo69PEthAIg5uB+h5vbooGbn9Ch9y9AgxPIkJYBMJgwe0X3sTU7ReXX95XEN+FQCD0BcS2EAiDm1A4DJlEgpONTtBMJE9sWJIWoTARwiL0AT1VpPb4w1i+rZxXfvm2cmwSudNPnc2P+7ceinn5e9OCCchM6Pr8ClkkWXTl9qikn2sLoBCZ4KqQSgUVc19feLGo8r4ggxUdrn/FtnK8JrJ8vGQyk0asWIdE8Pzd2WmpvjXMJZGzx1i+7Qg23jYBWYldl3d4w9h6oCZmN5bcZHG7sYQZcMlcLCq5RPQ91CqlgoInWuXASyAQ6m+rdxzFoikWZCdq8ej1RXhm50mUFWdAKgFGpRngCQTR6PRzgkpsuRXbyvH03DHQKRksfesg77t1uyrwj1+NxT/aRB9YZdT1uyvw5JwSbNhTiZvGZ2FZ2Wis3nGUu29P3VCC8joHT7xpybQ8ZCVqOBEs9hwrt5fjhXml7X/vOMpLtlXL5Vi+7buYdvX8vHHYcqAOG7+sxqIpFlw0NAGJGgUWb/4Of51VLNgfTlvdmH9JNmRSCa/ON5RmxvTf5dvKsWZOCe+zDbsrcN/VI3HP1fmQSynB9hIK0zG7lq3cXo7NiyYCgKCdUckkePrTkzHP839/PxlWtz/mu6c/PYmXbx0fk+y4emYhVDLhdiyTUvh5obAqnUYhxU3js2LbvkLKexZC96mjnU/tkKw5a2xmzP0QGhvYJOvj9Q7BXd8WTrJg075qLL0yDwUZRvhDNLIThUWwzidBvLNk4p6Mbx3vB8CKnYgT+OtrJBIKlmRdnwTMNQoZT2ANiAisPTmnpNfOYfMEBcfe0mxTFyXFYVTLkW5U8QRi0o0qGEWPrZ1TXmfnkoGBSP0ffu8I8lJ0KBnaO9fQlwz09k0Y/FzINiYkULF4ah427atGnd2HEw1Ozq9hhUZVcgkWTbHEjPlPzCnB4je+w18+OIatd1yC1xZejL0VTQjTwKZ91Vg0eRiWXpWPtZ+c5Im00DQ40Sz2eM/srMCiKRZ4gzTmjM/Cgle+wcJJlpixEqBi/PAV28rx6m0TuHOFwgwnbBp9/CXT8rBuZyXvHi+aYsFb+2OFFZZMy8PGL6sBAH+5vhArt5fz7Pzze09h5pgMNLsDWFZWgNU7ynn+6D/3VKKsOAOnre4Yn/TpT09i4SQLNuyuBA1wYgzcvd1RjrU3lECnjBXIWTItD7U2Dz48XCcoyPGvz0/BF6Qx/5JseINh3D7ZAiAiHrFhTwWemFOCkw1OMAywYU/7DgA2TwB5qTq8ctt47D9jw9gck+C5EzXCc7GsDr5KVy/GHGtwcIIc7HUvf/9IjE/alf/Fnl+orxDbLR7WBzRpFJg1NhMUBVQ1ufBNdQsuHmbu1gtN5z3mMxL8fRd/LvbmNzWYOSYDOebIywWt7iA3v2CPvXJ7OV6//WL87vJcbp6vkkvwj1+N5fXbSJuvwFMC/lmqQYVFU4bDHQh3GSvQx+mXYoW9o5FKJHj0w+MwaRRcPQvTDWh0+rD2U/7xSzKMMeUDITrGP1z7yUlsXDBBsO0ndOLXyaVSzp7MvyQbVncQy7cd5dUhRSdOPL2n9MYucN09RkebJZdIsPSt72NEDre0zXUJ8YlnA7qy7x0JhWh8erwBR+scXLC/KNOIqSNSRduk6HGgq/m6P0Rhwx6+DdqwpwL3XD0SdXYfAODZvZV4Yk4JKhudmGgx48F3DmHdTRcJxj40CuF4Rcecf7VCij9cNQK3v7o/ZkyM9r3KijNi/IXl245w/gQbL8pMUEOjkKHF7UcgFFFr319tB1CNTQsm4HSzGyqFDC/uPYVDZx04cq79HsQbN0emGdqFLE1qmIqG4NuaVt61RfuSK3dEYkxmLX8jho6imyq5BH+5vgjFQ4yC4pnZZi2vfJ3dh837a7B50UR4g2HOtxDq7/dvPRTjuz6zswKbFkwQ9LvExlO7osbmEWz/Y7NM5x2L6MtYBoFAIAx0NHIpHrpmJJrdAc4fMGsV0MoH3joWgUCIRSWXCa6BdWc9vi+4EOs5BAKBQPjxQcYPQn9B2h6BMLjpGCcH2M00LsyaWzyIbSEQBj8JajmJuxAIhD5hIK5PE9tCIAxuBup7vHZvGBv2VHZ4V6yS2BYCYRCRpBPOaTBrYzcevpAQ34VAIPQFxLYQCIMbtVyOOrtTUIekJxAhLIIgDQ4fL0EUiCTziFWkbnD6eU42EFmEaHD6xZ2/h+V/aPHi4yN1eG7eOLR6gkjQyPHK56ehV8lEiVE0uYTP3+wSd/76OIreDQ6fqPJWdxB3X5nPCeao5BLcfWU+bB5xO5k0OOLcP4e4+gORZyDUBsQ+A1cghNljs3i7sawoK4ArIE51OJ4qeoNT3D30BsPQyKU8wRONXApfsH934RUi3rXSTKQtmbRyLJoynCdOtWpGITQKqWC5IE2DpiH8XZjG1JFpMcqoDl8Q1VYvHv/oBNKNKs5hHJ9jgkxC4Z4OolrP7KzAS7eUIhBicOcVubw20uIJIN2oimo7DDbcfBHKzznj9m27N9K26+w+rNtZibfumIgfbF5UW71o9QRjxLnYBMQHpo/Ehl0VsPuCWDt3DLyBEDQKmeA53FFtL92owo2lWbi3rX1mm9X4w7R8XnvRKWWobHIJHssbDMPuDeKNr6ojYm+BENRtiZZ3XD5csEyTywerS3gXtGaXH5v2VXP3/RJLIsZnJeKT4w3Y+GU1L7l945fVyDa3D/4dRZ8cviDMGjnWzCmB2x+CViWDxxdEszvAS3z2BMKCdYm286ygFZtwKZUIt6uOYwObZN0x4ML+nqIAhYxCok6JhW3JsCq5BI/PLsaQBBXMWmXcZM+ukom7Es/qyY4LHe8He2w2YfbHjM0bxIJLh8HqaU/KWnDpMK7v9gb1ccau+m6MXZ1RZ/dh74lGzBmfhWaXH8k6Jd76pgZpRhVyknq+oFlnF25b9XYfSob2+PB9zk+5fRMuDBeyjQkJVLBCjBt2V4JmIOjn0gz/OL4gDW+b/+AL0nD4Iv+OFpryh2moZXyfUymVoDGOz0MzEUVr1iegqNixtcUdjDNW+fHy/53BwkkWJOuUccfYjr4ZzURsVLSvMXZoAv703hFO+CIUZgTV8yUSIBBi4PQGY0R4Fk/NQ4hmEAjTgnWRtmkQ17Z4Bb9nALR4AjE+e5pBhb/tPIlqqxeKb2vw4i2lsLoCSNDI0eDw4uOjzUg3qpBiUKLa6gEQGZfumGLBs3urcLLBifW72p+R3RfEm4suRopehSyTBl+dsSLVoEKD3SfoZ+Wl6gTb6rCk2Lba2Ysx8cYFd4f5UFf+V2d9hdhu8bAxjnkTs3ntPMWgQppBhWHdeLnpfMd8hy+Imydkx8zzZRIKDXY/kAnUxfFV6+w+vL6PP/fwBsKotno5QT+WJlfsDss5Zi2OnLOLihW4gyFYkjS8+YRcEvm8u7S4A1z92Xr+/ZcX4aX/Ox0jCDY2ywRLCr98PP+w1RuMEcpbUVaAYEcFniis7vZjZZo0uO/t2Dluwbxx3b7G86E3doE7n2NE26wvTzXzRLDY8u7AwIuZDDTO175HQ9MMvqluwelmd0ywPzdZJ3p+Ej0OCPkU0XWwe4VtEIV2B6ja6uXGUUuSDtVWL2ptXmjlFJ6fNw4t7iAStXK0uv2odwiPo9lmDcagPfba5AogEBL2FaJ9r3j1Z+0EGy9aelU+AmEvXvysivPtgIgYltUdwP1bD8e9B0Lj5uOzi3GppV0QUSmTotkViBHhi/YlWT+GBsMTGrW1+TV3XZELX4gGwwBZiWooFFJB8UwAMfV5YPooFGUk8MTQOosbdvzM6haOO7W4e2dePVB3sSQQCITBSosnAG+Q5vkDd1+ZD5s31qcnEAgDj8Y4a+lNItfS+4oLsZ5DIBAIhB8fZPwg9Bek7REIgxsajOCmGQyYrgv3IcS2EAiDn5a4a179Gzsl9oVAIPQFxLYQCIObgfoer80TFHwvXGxeKoFA6H9aPEH86Rej0OTycz5Ckk6J1n72EYjvQiAQ+gJiWwiEwY3LH4rJv3hmZwWe72GOFhHC+hETCtEor7Ojzu5DulGNgnQDZDKJqLLpRhXmX5Ids0CZZhCnSJ0eR9FabPlkvRLZZjXKijO4F0e3HzyLZJ24nYKGJKhwxcgU/GbTAa7+D10zEkOM4s6vU8oEz69ViusyKXrhnY7E1t+kkeOFo3VckqtGIcOrX1Th/umjRJVPNQifP9UgfqeljAThNpCRIO4eahUyrNzxLc9ordxRjo23iduNJTnePRS5W5RZq8S/vjjNPcMwDfzri9N4+db+3Q1GiHgK8FqFFCl6FZpdfk4ECojcy+XbjmDNnBLBchqZFHq1XPA7k1qBdbv4wkLsLjkPXTMC6QkanG52IxCmsf3gWUzJS4q7oOgPhbF4Wh5Wbm9PPl56VT7SE5QxCeaPzy7GpcMTEWYg2LfMUX1DJZdALpEAVNt9UErxQ0uQE0hgGGDTvmrYPAHU2b24fcpwnGxw4kS9A5e0JS8K9l9Fe/+dNTaTt1tQtdWL1786g/t+PopLSnzp80rkpyUI32O5FBQonGx0YfEb3/G+S9Lx2266UYUbSjPhCYTjtmuDWs4lh6vkEsy6KAMKhRRpBhUUsvbkR71KivmXZEMmkaCqyYUskwYfH2vgBU2fuqEEvhCN5dvbRej+OH0k8rQKXuJzVZOry50HWEErNllTLZdxSTnxygDt4lwAsGRaLrbsr20biyL3YnS6AVfkJ2PpW/y2+MDWQ1gyLQ/eYBj5KXqkGJQwaRScSAf7u84SLLsSz+rJjgsd7webvBqdoPpjJVmrwKlGV0ySdm8qyffG2NUZQxJUmDwiBfuqrKAZ4FSjC5NHpCBdpG/QFelGtbDv00vH72t+yu2bcGHorTYmZo4TT6CC9QsMSqmgn6tVSHkiUtsPnoW6zX+I2KNIf472M0alG7g5B4tKLsHLt44XtAkSCsg2a2H3BLB4Wi4yjGreWAkAiVphPy7NoITNE8CG3ZW4a2puzG+yzWoY1Qr87VO+bwaG4e4L62s8OacENk/7y2HGODsprplTAqmEglohwbc1rbh9sgVquQQSioI3GMb4nESUn7UL1ndctgn/uqUUWqVU0DfTqWRQSCU8n10hlcDpC+KB6aMAMEjVq7D0re85sZa7puYi26zGQ78Yjaqm2HHptkuzYfeFefVIM6hQmpPIE8s0aRRYO7cEN5RmgmYiSYp1dh9UcgmMKjkuGmrC5kUTOf+lIN3YZVvtKE4ab1wwaRQx7ayj/3X1qNSo80faudD5ie0WT6pBhdsuzYYrEMbtky0AIs999Y6jeOW28cjuxn073zHfqJJzAjRApJ89/elJvDi/FNK2c8c9dvS8gAEoAFqlTPC3elVs3EIioTDEqALNoEt/SyOXobbFiz9vbxci/vO1o5Gsa7++ju09Xrsza2N3I2IYGvdcmYcErZIT1clP1sAnILQVzz9MUMtxpsmFJ+eUwBMIocnpx7N7K/HUDWPi3X4kaBQ8WyQ0TnT8rK9g5yTRCdNSCkjtxi5wPd1JLl75VJFxu58y52vfozljdcMqILb0zM4KFGYYQTMQZc+jx4Emlx8vflYV4xuo5VJ8eaoZCWphG/TKbeN516GSSdp2a5cj26xGolaOigY/7n/nCC/GmmtQcX5JdPkknRJfnmrmbEOiVh7X9nS8PKHfjM8x4fFZRTCoZbC6/EjQKMEgImpKUfyy6cbO+wV7v0b8fjJqWtzQKGRINSh59/kHmyeucJeyzedUySXIMqmhV8ux63g9nphTAgpARaMTz+6t4nw6lVyC2WMzuHMLiWd2HMczjWocPtvK8wHi9Veh+5eoVQj6XQnqyNy9J+sFwMDdxZJAIBAGKxqFTHB8fvnW8V2UJBAIA4HMOGvpYt9H6CsuxHoOgUDoe3o6fyMQugsZPwj9BWl7BMLgpsHhR0W9A/+6dTxvU8Ke7vDdU4htIRAGP4kC7xqo5BIkavq3HxP7QiAQ+gJiWwiEwc1AfY83USPHEoH3wjcuGHg5lQQCQZgkrQI/tHh4PsJ9Px/R7z4C8V0IhMGP2FyQCwmxLQTC4MYTCAvmX3gC4TglxEHekvmREgrReO/gWdz4/D7c8dq3uPH5L/HewbMIhcQl9YVpCCZjhUXmBBakGbBqRiFU8vYEoVUzClGYZhBVXiUD7rw8Fy99XoX1uyrx4mdVuPPyXKjk4s4voYBHPzzOq/+jHx6PSRCKR4JGht91OP/vLs9FglqcEJZcymDVjIIO118AuUzcTkcaBXDThGzc//ZBPLD1MO57+yBumpANjULcBRjVUsH7b1RLRZUHAAaMYBsQu1tTk9MvaLSaXOJ2wfUGglg8NY93DYun5sErkBwrRI5Zi2VloyFts3IyCbCsbHS/q6oLkWPW4qkbxvCudcm0PGSa1MgyaeDwBgXvZTBMY8k0/j1aPbMQNm8AvmAo5rsl0/LQ4hUWtfr+h1aEaOC+tw9i7Scn2/pcHoaalFDLpdxxWFRyCdRyGSeCxR5n7Scn4faFY4QUHth6CCaNEgaVFHdentehb+fBHwrizitysXhaLjbcfBEqm1x45f+qsHbuGNTZPBhi0kAtl+LFz6qwYXclbJ4AVs8shE4pw/1vH8T6XZV4bm8Vztp9kEsZgXPkItkg465DKuEnPqcbVZg6Mg23vPw1fv/G97jl5a9x5aghaLS7saKsQ1+eWYjj9Q4cPWcXbKMMQ2Pt3DFcEub8S7Lx/N4qLHhlP+57+6Bg3/zsRD33d7T6f0GagbuWrQdqwTAR27xo0wH8Yt1n+KLKGiP6dKLBGWP//vrRcXQ03+zOA9F1Edp5gE3WnGhJQlGGscsyrMjEL9Z9hgWv7Mdze6sw/5JsFGcYuHtxx2vf4lcvfYUbS7N4IkQmjQIGtRzP763CXW98h/n/+hrzL8nm/UYll/CS8DvS4BAWP2l0+kDTTGR8uL6oy+uOR/T9sCTr+n2Sd6FwB8KCY0JPHdFoCtJ0gv2jIE1Y9Ky7OL0RkYTn91ZxNqPJ6YfTK25c6YqCdAOenFOMxdNycdfUXCyZlosn5xSjIN3YK8e/EPxU2zfhwtHTNiZ2jsMKVESjkkvAtIkwjM4wCtq0YclazneUUsDSq/Lx7oEfeGNFplGNO69o9zMOVNsExx1vMITVMwtjfLGiDCOyTBqcs/vw/N4qPPDOYTy3twq/n5qL4gwDVHIJAmFasGy9w4en547Bkmm5ONfixsoO840VZQWCvtnIdEOMv/LqF1VY1XaOdKMKLW5h3z1E03jp81OwuoOc/fz7rojgxVv7a/H/Nu5HqlGFpVflx9T3j1sP43f//hZNLj/uuIw/t7pjSi6CIRo2t4+bd209UAuphMKjHx7H717/Fku3HMRpqxsLfzaMO/a+U0343eWRskLPMD/NgB2HznL1WDWjEAWpegDtYpkmjQLzJmbjtle+wbqdkfrMm5iNbLO6zZdjsKeiETuPN+LIOQd2HW/EnopG0HTsPIimGVQ1ufDNGSu2HzqHX6z7DL984Sv8Yt1naPX6uXvM1ueJOcVw+kO8e/H7qXnIMml4x/z4WAOvnX98rEHw/ACx3WLJMmlg0iq5dsw+d5NGgS9OWfFReX3ce9yRgnQDHrmO/2wfua6wyzG/OY7AsNMfgj8U8alGpepj2s2qmYUYnarD3PFtMYJ3IjECnVKCx2cX8XyPx2cXITOOeHVBqgFpRuFYQaqhPVYgk4ATwWLr+OftRyFr+0m0v8+293j3jwYTM2fKTtTAG2KwaNMB/GHz91i06QC8IQaJWkXMMeL5hzZPAK9/XYPj9U6cbfVieLIORpUcgU5iXv5QCHdMidgbSZvocjQRISORQacekmPWYv3NF2H+JdmcPXhubxUO1NhEx+3Ezuf6qvxPGSEb8KQI+x5Ng8MHX0g42P/V6ZZO+1VH2HFgfHYi75lmm9X4/dQ83Pj8Pvzyha/Q4BAe662uAHcdy8pGIz9Njwenj8SOg7W456p8MIxwjNXpCcbESxZPzUP5WTvPNoxO1cHq9MfEqB65rhDpbWJ3QESsqePxHrmuECfqHPih1Yvj9U5oVXI8v/cU7nv7IOZfkg2DUsr9du3cMShI7zpmAQCnrS5890MrPqtsxrvfncWuE+3jrFYhg0EtE7QROUnadps/JOLTsfHbRz84BrVcygmNiu1T0eN4lkmDbYfPxfi6mUa14HUVZxpjPou2ddF+VyAc6vF6AUBsB4FAIPQ23kBIOKYQ6J14JYFA6FuCYeG19JDI+EJfcSHWcwgEQt8SCtH4sLwuKkbdgA/L67o1fyMQugsZPwj9BWl7BMLgJjtRjYuHJ2HBK99g8Rvf47ZXvsHFw5OQlaju13oR20Ig/BigBfMwQPXvvIjYFwKB0BcQ20IgDH4G4nu8No/w+6qtnmA/1YhAIHQXpQx48j8neD7Ck/85AaW49PY+g/guBMLgpju5IBcSYlsIhMHNkLYNzaNRySUYYlT26Lj97PYQ+oryOjsefu8Iz+g//N4R5KXoUDLU1GX5RqewkEiTy4fhKV0LUpxz+rBlfzWemFMCbyAEtUKGjV9UoTTHBIuq6/L+ELBhTyUWTrJwu9dv2FOJJ+eUdFk2Un/h5K5GZ0BUeW+Axopt/CTyFdvKsUmk8nUwTPHqzzDdq78vSAk+v9cWXiyqvN0bxoY9FR3OXyH6/ADQ7BIOelhd4oIeKXql4G4sKXpxRkunVGDz/hreNWzeX4Onbhgj+hoCIYanALp2rviyFxKJhELBED0WTbGAZiLXuvHLatg8ARQMMSJZrxK8l2dbvdAqpPjHzWPhDoSRoJGjutmFRz44jkeuK8TGL6t592/jl9V4ck6x4LHSjGrc//ZBXptbvu0INt42Acu3HcHiqXmcuFUk6a8orp0IhmnBz2ta3NApZVi+7UjMeV6+dTxe+jzyrB6YPgJvflODG0uzOJGnh64ZASkFPDmnBB5/CE0uP2xuP17/uoZnJ9btPInHZhULnKMcG2+bgNcXXoxzdi8oiuLdh1ljM2PEu5ZvO4KNCybgvrcP8vvS7grMHJOBvBQ91nx8PKaNluaU4OpRqXh+Xikc3iDujbqv1VYvNuypwPPzxqHO7oNWIYMvFMIvijIxbfQQaBRSBMI0zljdyDFrcc7p465l1tjMGGd+f3VLzL2mGcTpu3z7dz47D4gpw4pMdJx0bLxtAua//HXMjgILJ1mwYXdEUOOG0kys3nE0puyiKRas21nJCWtIJYhLSpz+kqRV4qPyek4AY9EUC/JT9RiVZsCwpP5XLR7oOH3CSVkuf+8lZTW4gqizOfHqbRO49rWvsgENLhMs6p45vABg9wWx9pOTMQIxBbeU9vjYQKR/SCgJb9x56oYxpG0RCL2I2DkOK1DB/lYll+Av1xchK1GN2WMz4oomNjj8Merxv7lsOB4uK+DGimMNDix/v70OdJu4Vsdxx6hSYOX2o7jrilwk65TQKGWoa/Ug3ahCjc2De97i+12rdhzFP341FpUNTrS4/chK1Aj6hnddkYvn9lbhpVtK8dC7h3l+yNE6h+B1+YI0np47BqeaXMgya3Gu1YOLLcnY8k01Ni+aCF+QBs0wgteRrFfiYksy/vTu4ZjxmR3DH3znMJ656SJurlHR6MTGL6tRZ/cBAE42tKvys+VX7ijHK7dNAMPI8Ph/DmHhJAtGpulxXwd/9OH3juCuK3K56xyZqse9bx/EymsLBK/V5gmgrDiDNwcakRZpH+xzF/L71u2qwBNzSvDUx8dx6XAzqs85YnZPqWlxIyepfS7LBoCXbvkeCydZOF+WPeZvNn2Lh38xkjcnbnb68ESHBamH3zuCsVkmWJIjxxbypZZu+R4jF0/mfkPoPtUtHix7/0jMc180xYIwjW7dY5lMgutKMpCXokO93Yc0owoF6UbIZJ1rzeuVMsF+plPKoJZHxFxq7V5s+SY2lmJJ0vJsjy9Iw+4NxditpVflw54o7J81uP2oc4QEYzXDkkYh2xz5XV0csZx6RwDF6F4bNWuVMfN6T1A43vLKbRNi+llls0cwtnHT+CzcWJrFm6MuKxsNgyp+mFMpk2Hljm/b5qYePDh9JKyeAGgmIn6YqFHAfYEEByQSCik6Je7693fnHbfr6U5yA3UnusGAkA3QKGS4dv3nMc/zoqEmwThqqkGFVm9Q0CYwzPnZ/o7PVC2X4sbn93HH1yikwj6LWo41c4pRY/Ng/a6I8PiKawswa1wWvqtphVwqFbQJlESCrd/Gxu3KijO43yzd8j3euP1iLH3rIEwaBfdbCQWEQmGs23UKT8wpQWWjE2EaeOPrSBxLKgFGpRngC4Wx9tP2fr5kWh7unJqH32w6gGd2VmDLool4c9HFvPbbVbv+weZGkzMQYztzkyP2R6uUot4eFLQRarkEmxdN5Gx+VZOL8zfr7D5s/LIai6ZYcNHQBGSbtd3uU535ukLXBQAfdPhsf3ULZ+vYY6zcUY6NCyb0eL1AqJ0R20EgEAg9Q6eSC88RxO4KRCAQ+pWGuO8jiNsUqq+4EOs5BAKhbzle70CtzRuzXnG83oHCzIT+rh7hRwoZPwj9BWl7BMLgxhtn3W+jyPes+4p4tsVJbAuBMIiQYMv+msi7Df4QNEoZXv2iCvdPH9WvtSK+C4FA6AuIbSEQCH2BWiH8vqpaIe2kFIFAGEjUtgqvR59tDaAgo58qBeK7EAiDnYGar0RsC4EwuFHIKKyaUYDlbWtG7MYGii7y7LqCCGH9SKmzCyd319t9KBnadflUg7CQSIpeJer8DQ4fAqE2BUgGoBARJWp0+kQNhjZPMCapcfHUPNhEKk+r5TJkm9VcEjQAbD94lksu7Yr6uImf4l5cbXD4I4I3beIuLI0iyze7hM/fUcgmHlZXQPD8YssDgFounCDXUZEvHhQFrLi2ACu3txutFdcWcM+jK8IMgwWXDuOSzmQSYMGlw8BAnLLoGasbj390jCeS9PhHxzAyTT8gE8jr7D6s21mJdKMKs8ZmYva4TABAi9uPMZmmGDGHFWUFeHZvJaqtXq5/PPpBNWaPy4QvSEMpk8LmCfDagEougVYhxcoZBdwLCGzZc60eYUEIZ6Qtb9rHF9VqcflQlJkg2Eb0cZI3NAoZmlwBmDQKzBqbyT2XrQdqOeG1dKMKSTolyoozeAIFDn8Y63fx2/MfrxkhaCda4oi4NTj9uLZkCC6iGdS0uPHo9UV4qE3UQSqBYL3i9WWaAc62egTbqNMXRI3Ng0Wb9uP2yZaYulRbvfj+BzvWfnKSuzcvzi8FzQA7jzeCZiL26oHpo2DSyLl6ZZnUMccSEt+QUsKCHEJ9l915oDt9oqsy8cRFWuLsKMCKWqnkEgw1aQR/k2FU466puZwQyEVZCbwE+WikEmDJtDxONIx9MdgXCnOTNLa/qeQSfLB4MknYFIFZpxBsV4kaRa+do8Hhw9O7TgO7TvM+vzg3pVfsttsfFuznbn/vKEOfsbpxz1v8QMA9b32PUelEuIRA6C3EznHEiNQI2bQWl5/nO775TQ0KM4w8/7VjHbYeqI0RDF1/80XwhcL45YQsZCRocLrZjUCrF1sP1CLbrIVBLef8nmibVNngRGFGAtz+EL441YJ1O/n+BwCkGVXwBWnU2rwxPspdU3Pjiux8UWWN8aXS245l8wQQCNO4+8p8PP3pSd74aXX5YVTFEcCg2v99+Kwd63dV4q6pudh6oBazxmZCKZNgWJIWNE3j9skWbD1Qy4lj+YI0mpw+UKC467hraq7geXwhmrtO9jfNbr/wtSraQxwUFZmDsu2DneNSlLBoaGWjEzeWZsEXCgvunlKSaeT5H9EB4HjHbPGEUOcIcPdKIZUI/i56nhzPlxI7lyYIU93iFryvOWYt97y7c49lMglKhppExVdY5FJK0E+VSyk4fJG5eoPDh7Otfpyod3Lt5myrH/UC7YIChde/qubZrde/qsbINL3g+RscfthcAcHjN7vbYwXxYgHKtvlEd9pojlmLB6aP4vqKSi7ByDS9oE8WsQng9bM6u09wPpZmUEEulWDltQXQKGV4Ye8prN5xtFPx8o5xFn+YjhHCUYmMGfUG53oYtwPObz4nBNO/G7gMSjragF3HGwSfZ02LW1AIK8esRU2LG2vnjsHxegcXB7ixNAub9lVz5btr+9k2kWPWYs/JRl6dalrccW3Qw21Ce+lGFRZOsqDO7kVWohpvflODv84SFlRXyiW4anQ6z3dYPDWPqz97Daw4QJ3dF+O31Nl9ONng5Pkoh846AACPzyrCWwdiX24fkZoHIBLD8QbpmPbbWb+gaQZVzR4uVsnWce0nJzFmaAKyErXwBsPQKaWCNkKvlPEEozraQzbW8Oaii8+rX9bZfYL2MWIXhK+r42fxYsrNLj8kFNVjuwP0nu1hoWkGZ6xuNDh8SDUQYS0CgfDTotUbjJmL331lPuxesgsvgTAYMGvjrJtoe2/d5HxI1Aqv05o0RGSPQBgstHgCgrvdFgwx9HPNCD9myPhB6C9I2yMQBjcNDj/yU3S4fcpwLpb/wt5Tot+T7ivi2ZZEYlsIhEGDzRPE1JFp3AbP7Fpkq8g8kr6C+C4EAqEvILaFQCD0BQqZ8PuqChl5J4dAGCz0NLe7ryC+C4EwuBmo+UrEthAIg5smVxAb9lTydEg27KnEI9cVYWQPjkuEsH6kpBvVgkY/zShOyCrTqMaqmYVY/n678M6qmYXINKpFlR+SoMKvJmbzFiBWzihAusjzJ2rkWLKL/2LXul0VoncK0igkuOOy3BgRJo1CnKOfalAK3r9UvbJH5VMM4sob1MLK23qVuKRMvSpeefFdXquQYulV+Vj7SfsL+EuvyodWpPq3zR3EG19VRxLWAiGoFTK8uPcUfj81T1T5eElnGpHnt7r9wiJJbv+ATCBPNaiQbVbH1DkvRYexWRSuK8lAjlmLvRVNCNPAG19Xo6w4A1IJkJuix2MfHEOd3ceJIJ1t9cQErRZPzcMftnyPe67Kw/PzxsHuDSJJp8Qf3zmEa0syhG1GW1uOTlhUySVYOMkCuzcYI/yweGoePIFQzLmfumEMUg1K0AyN+ZdkxwTTEtSRtjlrbCZqbR5IJbFiAh3rl5mgwb1tNgZotxOv3jZBuP+29T+JhEJOkg5ZiVqMGZqARqcPcqkEark0pl5DEoRFAdl8vBDD8NrofT8fAZ1Sxk0I1G0Bho7lc1N0SDeqODGNVk+Quxb2Pj7+0TFsuHksd79un2yJOdb2g2fx+OxiPLD1EFc2P1Uf03eXTMsT3XfjITYxMZ6QYrpR+PNpI1NwicWMYJjBqSan4G+aXH4uMbYrUcY6uw8bv+QLt238shrDkrQDcpI2WNAopFg9sxDLovyC1TMLoVH2nlhAT0U4uyJRqxC0P72VlDJQAwEEwo+J7sxxOhOpyTJpYmzaE3OKUdfqw0ufV/HG4/Jzdvy/jfuxdu4YTC9Ii6lDnd2Hzftr8NrCixGiaaQZVDha58TqHYdxY2kW7osa35dMy0OGSQ2NQibo9y0rG40jZ1uRalQLil2q5BIkaBQozjAIjqvbD57FsrLRWL3jKO8afKEQkjoEBdONKsy/JBu3vPw1bp9sQeEQAygwWDTFApppHz9tngBemF8qWBdWeCL63walNMbWLp6ah+0Hz2LexGxs2leNOrsPKrkEGQlqhGiGd+zOzgO0C36+tq8mJln43qtHwOEP8p4he8+BiOjI2rljcKLeIXieiRYzHnznEHJThH2GFjf/ZbqOdl/omHkpOtwdJQD09I1juhzr+no8/Kmijbe7VZvw0YW4x3KpBAlqGdfPJBQi8yAGMGsjcxW2b8bMSwT6fJBmBOe8dBxVIwY0ErTyOP5Q+wKBVikTfAGCFZrrThuVSChML0jDyMWT0ej0IUWvQqsnIFiHZL0SngB/x454dt+oluN3//62Pd5TVoA3vq6GzR3/pdfoexgKM1i/mx9zWvvJSWy87cLtTt3TuB3QM/EYmmbwUXk9T6SMHeuIAE33iWdjNIr4cTi7N8Sbyy8rG43NX9dwopHna5fYZ9txvHtu72ksnjo8xgYxDDgRrHkTszmb8lCb+Pgf3zkUE/tZMi0PeoUMWqUUT88dA4cviDSjCsvfP8LVv/0eCL+MEd3MhPuCErPHZvFiyyvKCiCV8P2Y7rTfM1Y3vquxCY7zn1c2o9kVwOh0PersPi6mwn4vZCNS9ML2MFl3fuNJpkktaB9ZX0YMQuMFG5ORUMIxqu7Ynd6G2CICgfBTJ0mrQH2rlzc+q+USmPtZRIdAIIjDqJbFbD60ckYBDN1Yj+8LDGqZ4HqOQU1eDSIQBgveYFhw7uoL0HFKEAg9h4wfhP6CtD0CYXCTbVbjlxfz3xNfcW0BshLFx7X7ggSNsG0xEttCIAwaTGo5bzNlLo/kAq7pC0F8FwKB0BcQ20IgEPoCrUKGNKOKtxadZlRBKye2hUAYLBjVcqy4tiAmP96o7l9RGOK7EAiDm4Gar0RsC4EwuPEFw6i2enkbpwOAPxju0XGJBRjA9CShrSDdgEeuK8TD77Ub/UeuK0RBulFU+WMNDmzYXcFXXttdgRGpOpQMNXVZvtUT5F76BCILECu2lWPzoonINnd9/lZPUPDFLrvInTwYgHPy2bIrt5fjtYXiFkDUMongREEtFyekpZRJBBNHlTJx5VVSKR66ZiSa3QHQTCTh26xVQCUTL4QlVF6vFN/lFTIJRqbp8PKt49Hk8iNZp0QwHIZCKu4aEnUKTBthRqpeiUYng1SDEtNGmEULjrj9YcGks4uGinuGCqkEm/fXcG0YADbvr8HPckU0wAsI28+tbj8evb4IC1/dz7vmB7YeQlGGkROhy0vRw6iW4ejZVrz0eRXW33wRlFIp/njNSKQYlJBQDLLMWqzbeRL3XJmHl28djx9aPFArIrttVVu92PhlNRZPywcDgKKAP1yZjwa7DyuvHY0V24/ybEaqUYnHri/C61+dwfxLLfAGQhhiVGPTvipMyjXj+x+seG7eOLS6g0jQyvH6vtMozjRyQkR6lRSZCRooZRQaHH6o5TK8+Q3/ubz5TQ0e/sVooK0+W/bXYnnZaJ5DvfVAbUyfYu9RNBGRAn/Mb1fPLEQoHMbBH1oRCIdh1iqRY9bCkqyDJVmHb6tbBHdVfW3hBDwxuxj3RyWnPnJdITz+EEI0gyf+c4JX5sn/nMCmBRPQ5PRj44LxsLl8MYIUD04fiWqrG3+YlocfWr3YfvAs71rYBduFkyzwBMJcvbYeqI1JPn1g+iholRIuOGlQSmFUy0EzDNbMKUFVsxshmoZWIYWEokDTzHklEgolJj4+uxhXj0hBeYMT9Q4f0g0qFA0xIsukwfPzSrG/ugU0ExHluP/no5CgkePR64vw0LuHecmNRRkJkEgidUvUygVtp7StymyZHLM2bl1TDSrYPAGew9SZEFd/T9IGC62eIDZ/wxc33PhFFe6+akSvnSPHrMX6my/CoVo7N3YVZRo7fd7dQUJB0P5cPCyxV44/UAMBBEJ/09WcpuP3WSYNamwewd8LzXFWzyyEVELhmzNWJOuUCNNAo5NftuM5GAZY32Guo5ZJ8e+vq2N8x3uuHglfkMbSLd8j4/9NhFEjjwmu/X5qHpL1Cpxr9cHuDeLxj47hnqtHci97Au2+xbhsE6QS4M8zCvHb1w7wvl+94yiemFOCU41O7DvVhPU3j8Wh2lZuPL2xNAvP7qnAvEtysG7nSawoK8DKHe3zlTuvyMOnR8/xrmvz/ho8dn0RjBoFVs0YjdpWH2gGGJmmxyv/V4WFkyzISlQhUasARQGHah2gKHD3wBekUX7OgSXT8rDzWD3nD2aa1Ni6/wdOuGP9rsqIIGeaAXd0uC7Wr2H//9LnVVgyLQ8UIkKL7LzrXIsbL95SirM2LzQKGV79ogpzx2fxxFgtyVo8OacYFY0uqBUSTtw1QaNAg92DP717hHfuN7+pwYScRHx0pA7pRjWuHJGCkak6jMkyQkpJ0OIOIlErR5ih8YPVhWVlo6GSCQt2qDuIikbb/a0HavHg9JGwetrnX6PSDXjsw2O8+vz1w2MxIqYdfRtWsKujIERvjYc/VVINSjw+uwj+YBgZJg1c/jBMajkanD48PrsIDMP0+T1WyIBEnRJ6lQLuQAhahQxyGQVKwnCxmjANwXnJu7+9BOtvvggKaXu7Vcqkgi9+vvn/JvLOy9pACSRo9QSw81h9xKdr25X51S+qMD67Pc6jlkuQkcB/ASIjQQV1m7B4lkkjGG/KMmkEr1siobh5FwB8XyM893ru12ORlch/Bgma2KTiv1xfxNk+tvzKHeVYM6cEqk7Fz6N2OAvRgnNJlz8Up2zv09O4XU/FY85Y3VxZANxYN3LxZCLieh6kGpRYUTYKdQ4/Nw6kGZScIHdHzljdeGDrIVwyLBG3ThoGmzuINKMSf/qfUTjT7IFWJYNeKRVtl6J9HY1CiqVbvodJo+DFEBQyCiatIsYGKWUSlGYbcbElmWdT0hM0WPPxcZQVZ0AiAZ6cU4Jqqxs5Zi2CNA1KAjzyv8ewZk4JfrB5YXMH8NAvRqH8nIO7B7kpOuiVMiy9Kh+vf9Uu6D463QCZhMLiabk8X4Bty3dfmQ+FTCrY11++dTwen12EdTtPdqv9+nwhVDY6oZQJi0GFaWDplu/xv7+fDIdPOC7t9PPj0lIJhGMY57HhGk0zCNOMoH28alRqN44kvJsjBarHdie6rue7ZtERYosIBMJPHV8wjEc/PB4zLv3rltJ+rBWBQBCLN0jjwJlm/OvW8bC6/DDrlHjv2xrkpvSvH2P3hgTXc7ISe7K/HoFAuJAMiSegniBu4z0C4Xwg4wehv3CQtkcgDGpoWvg97Y7rlRcahzcsaFtyzKP6tV4EAkE88dbrHD5xeSR9BfGbCQRCX0BsC4FA6Av8QRrltS24siADTW2bmH5Sfjbue54EAmHg4faH8Ox/K3m5Ic/+txKPXV/Ur/UivguBMLjp6/zd84XYFgJhcJMab4Nxfc/ecyFCWAOUnia0yWQSXFeSgbwUHertPqQZVShIN0ImUoipzu4TVF6rs/tQMrTr8g0On+ACRIPDL+r8OpVw8rFWKU4IKp6QVqtIIa0mlx9vfMUfNF/cewp/uDJPVHmbx88JAbETjY1fVmNUul5U+RZvAN4gjef3VvGSwFq8AVHlQ+FInZ9ve4GeEwKixSvnUQDq7P6YXWzFClnplBKkm3S45eWvufKrZhRApxLXBhudfsFn2OgS14b8QRo3lmbxRIMWT82DPzRwdsmM7uf5KTosmGQRvOZ6uw/7q21YHiW4sGpGIVZcOwJfn3FgeYdndOBMM9bOLcGpRg9ue+Ub3vWbtQpcXZCOZe8fwY2lWbj/7UO8NrL0yjw4/GFIqIiYmM3jR02zA3PH83fuWjWjEC0uN64cNQS/2XSA9/nRsy2os/vwzre1mDcxG/dGlXvkukIsuHQYHvvoOK9eoMCJW9k8AfxzTyVPQMrmCUAjl+KuK3LhC9FQySQwqGWCduJYvRNv7a/l+p+EAryBEG5+8RB3vs37a/DA9FGcTW1xB+KIagWgVkh5SeDJegWyskyobHQJlvnqdAvWfHySux/hMM3VRauQwheieQmJK8oK0OLxxxxHKgGcUYu5dXYfNu2L2JWiDAPyU/WQUMD0Zz6DL0gj3ajCvInZuH3jfpg0CtxQmonhSTqYdQq89FkVkvRKGK3u80okFEpMXPvJCQTDDB5+r13Y6ok5xZBSFO55i7/Lm0wK/Pxvn8GkUWDRFAvyU/UYlWbAsKT2ZEmJhILTFxK0nX+Yloe7puZicm4SxuckdjoOxhOPKEg3ElGJHuALhrG/2o791d/xPvf2UJG1I4EQwxv71s4d02vHdvqCguOCs5dejsg0qrFqZiHfVs8s5IQMCYSfIl3NaYS+f+S6Qvx9VwWqrd6Y37NznPwUHc5YPahscmHtJydh8wRw95X5UMslXAIpW/bqUan4+FgD7xxr5pTEzHWW/c8oQRvR5PABiIx9O080Qi2X4sPDdVg0xYLcZB2yzRq0egP4+d8i4/FD14zAjaVZqGx0CvoJx+scAACDWi74fZPDh93HG/HrS3Jw17+/5eqyrGw0Nn9dg8n5KVj2/hEsnGTBs3srY4SLV5QV4Ps28SyZBPjNFAuOnLVDJZdCIZPybOyKsgLsPlGHTFM67nv7IBZNGY6XPq/iXf/m/TVw+kKos7kF/MEC3DwxC8frnJg9LhMSCnB6hedhFBX5f1aiGgsnWbDxy2oMSVBDr5JCCgYv3zoOP7T4cXubKCxrQ4ckKPCbKRacs/vBMMCZRgcyzHq8/31EGGxRBz80P0WHQ2cj9zjdqMKNpVn41Utf8drX9NHJ2F8dxPJtfN+6osEBvVqJoSbh3VOS9fzdU6J9DgDwh/nzt0evL0IgxPDKVFu9GJKgwgeLJ6OxbWG5o3iEREJhekEaRnbyG0L3SdOpcEIuhSdA46F3D8f091UzChEIhKFS9V2YjKIoVDW5Y8RJSnMSEAyGIZNJ0OgUjqXYfQFYXQHe/HzNDSWCv3VHiTlF29m/XFcErUKC2WOz+LsylxXAHWwv0+TyQ6eSoTTbBJsnCJNGjhBNo6ltLl7d4sHfd/HFBP++qwIXDTVheBfJvjTNoM4ufI3BMIPsRP5LFg0OP8I0zZuP6ZUyVFu9MeVBAWmG+PGK2lYvN9cYkaoXnEtmmi6sgKlSJuFdm1jxdKDn4jHx4naNTh8RnzkP0nQqyKT8cXb1zEKk6YTbVIPDh0uGJWJ6UTp+s+kATBoF5l+SzbMPYu1SR39q8bRc+II0F0N4Yk4JKhudKBhiRFWTK8YGVTe7Mbc0C4FQmNcmGh0+Qd9IrZCA9oXR4PDBpFHgZKMT63dVItusxh2X5cbEMj872YBpo9Lx28ty8eft/PjV+9+fRbXVi2yzGk/PHYOKRhdCdCTm0+QSjgvWtHiwYls5VpQVIBCq5sb9ztqvzxfCtsN1aPX4kaxTxIzzK2cU4PV91dwxjGq5oI0Y2uFFsDq7Dx8eruOJC76w9xQuykpATpL4fsQ+wwa7V7hfOnzITRUXU462ddFxlaxEDYozE5CsV2DNnBJODE2vlnbLx+jpmkVHiC0iEAg/ddz+UByfvndjrgQCoW/wBoO4KCsJC6LWYleUFcAX7N+ETIc3KLieY/f2b70IBIJ4cs1aQSHjPDOZJxH6DjJ+EPoLO2l7BMKgJt66X33bexb9hc0TELQtNo+4968JBEL/Y4izXmdQyzsp1fcQv5lAIPQFxLYQCIQ+gQojPy0Bt3bI6aSogZNTSSAQOsfhCwnm9zt8F27TXyGI70IgDH76Mn/3fCG2hUAY3ATDYfz52gJevsifry1AONyz+QcRwhqg9MZu6DKZBCVDTaKEqzqSrFMKLiAk6cQpr+njLEDoRSaVKmVSwd3rVXJxQlg9XQDRqeQ42ejC4jfaB02VXAKdUlx5jUIOhaw9+YeiAIWMgkYu7voNKjme/vQk7/k//elJbFwwQVT5MCPBsjYhDrb8svePYONt4soDgDtA4x972pPrAeAfeyrxxOwSUeXt3jAn0MTWYfm2ctHXkKIXboMpItsgRYFL1mPPv25XBTaJPP+FILqf3z5lOE41OgWvWS6lOGEVgL2XR7BxwYSYe7xiWzleuqUUgRDDJfez363bVYHn5o3DbzYdwMJJlpj7w4oqsBPkbLMaT84uwfjhKdxL3Lzz3zYB97QFxaI/f/nW8Vg1U4Ecsxb7q224fbIFWw/Uos7uw8PvHcGiKZaYem1cMAGLplgwPEnLCWCt31WJRVMsGJ1uwOlmNzzBMHxtQmZSCYVl7x/B4ql5vKTM1TMLsfaTk6iz+3gT/bum5vLOt3CShWdT49mMBLUCn59qxrqdlbzPP1g8Gbo4QlxFmUbcNTUXWw/UYvm2I3h+3jg8+uEx+II07rwilxOYYOuzckc51szh9yuVXIKRaQboVfx61dl9eOnzKmxcMAGWZB2+PNXMfTdrbCbW7aqASaPAvInZvPuy4toCZBjV55VISNMMzljdMS+tlBVncCJY7LVUNrq4SRB3fdvLsWRaHpeIu25nJXcPOyZJphpUsHkCvGenkktQY/Pipc+rMOuijC4TKzsTjyCiEuePQS1HtlmNsuIMbkzYfvAsDKree7GgN3yfzlDJZYLjwqvdGBs741iDAxt2V8SI0oxI1aFkqKlXzkEgDDa66tdC3z/8Xrs/ImQHZDIJdCo57t96iDc2Pf3pyRgfY+mW77F50cSYc1QI+FypBhUn3sn+bt2uCjzRNkar5BKEaeCZnZF+zo5nmxdNxG82fcuVy0zUYOmWg7h9skXQT8hPM8DjD+FgbWuc7/W4fGRKjO+3esdRLJxkgVTSLiwltLBh8wR4AcnlZaORnaRDdbOLEwljj7lyRznPN2QFSKOv/5+/HoczTS5cOnwoFraJVLHfL99WjhfmleLh949y59+4YLzgdTFM25jeEqmzSi5BgkYOCsDy7Ufxr1vHx/iuy9+P+FE6lQLr3y0HALy5aCJufflrLJxkweb9Nby5yoY9Fbjv6pG4q20Ox/pGHdtXVuKE2HNtO4JXbpuAW1/+Gq8tvFhw95S1N4zh3eto36LJ6ecEgNljPvTuYSyaYonxI9Vtc1qGr5EVc2xLso4IQPQiR+odCIYYrNxeLjgXWr7tCIYlaTB+mLnP6tDiDuHNb/jt9s1valA4xIjD9Q5MGGaGRiE8x5BQUk4Ei60z+13M/DFKTCnazg5JiAjy/GHLwRhbED1P1yvl+Op0S0w85uKcRABAdYtb0P7UtLi7FMI6Y3UjQaMQjteo5KixeXjtXkJRWLXjGO+3mxZMECxvVMvR6o0vGJAeNddIN6pi5pJLr8qH6wIKDpTX2XHf24diriMrUSPKd+ypeEyqQXjHhRT9hRUD+7FwpN4hGIcblqRFaVvfiSbVoMJtk4Zxgo6zxmZyfY4tL9YudfSnaKbdNtTZfTjZEBGq+vsvLxK0QfdePRL3vX0Q/7qVP4anGFS4T8A3WjOnBGftfpTmmPDbyyxwByL9pqw4I2bX96c/PYmFkyxQyiXcogb73Ypt5ZzPV2314u4t32PJtDz4Q4DVE8CoIQbBNqpWyDjb9cScEi5221n7PVxnx/JtR3DXFbmobfXh/e/P8sb5f+ypRFlxBk42uiCXStDiDmDpVflY+8lJno3wBPg2It2owjVF6TxxwSXT8pBm6F4/Yp/hy7cK+1FiN7YA+LYu+hipBhXOWN08v5X97oNuzLl7e95ObBGBQPipY4zjGxs1/ZvMRSAQxKGQyPDs3nKej/3s3ko8KXItva9I0CgE13MSNOI2uyIQCP1PeYNTUIg+xywcZyAQegMyfhD6C9L2CITBjVknHNsQu9luX0FsC4Ew+PEGQjFr+oun5sEb6N+Eb2JfCARCX0BsC4FA6AvCYQk2dMgJ3bCn/9exCASCeHqa399XEN+FQBjc9HX+7vlCbAuBMLgJM8DbB2p4G4y/+kUV7p8+qkfH7VchLIqipAD2AzjLMEwZRVHDALwJwAzgAIB5DMMEKIpSAtgIYBwAK4AbGYY503aMBwEsBBAGsJhhmP9c+Cvpffp7N3SJBHjs+iKctrpBM4CUAnLMWojNu/H4hRcgPEFxCxB1dl/c3evFwDCMoJAWg06yjaNo9QQF69/qE6ce6Q6EcMeUXKzc0a5ct6KsAG6R19/s8sOkUWDW2Exu0N56oBbNLr+o8g0Of5z2I648ALR6g7ixNCv2HohU0IxXhwaHuDowgOAzgEjNmiaX8PmbRN7DC0F0P/f6Q9iyvzbmmh+5rhA2bzDuvRT6vNbmBQDBNtTqCcKkUWBkmh63T7Zwn7O7c7G/TTeqcGNpFua//DVWXlsgfH6nsJ2yugKQS6VcQif77Dbtq0ad3Qe6Qzf0BWk0Of1Yt7OSE5BaOMmCUel6HKtzQt0mSBXdn/46qxjVVi827ePbCaNGHrNzFyu+EH0+imq3qTlmLWyeIO6+Mp8ToFPJJbj7ynzYvAHB+jY6fXHt3LE6B178rIq7Zm8wzNkj9rwdj8eA4YITKrkEy8pG49k9lbhzaq7gOWyeSD+MThhkjy0k+rByezlevW18txMJaZrBR+X1OFHviAmesEIcvN8zwteXrFMi3ahCnd3HfVZtdccIUeWYtVg7dww3mWKvd/P+GqydOwY5Zq2oescTj+hMVIIV/Gpw+JBqICJZHXEHQvjtZbkxiqzuXnyxIJ7v0+DoHd+nOc64YHX3zrhQZ/cJikLU233nJUpKIPwY6GpOE+97ihL+PYvV7ectzLG+jNCYLbQD6Zb9tXj0+iI89O5hzqbFG6PPNLt5vkx0/ToeP92ogi9IwxeksfVArF+3oqwA3mAQ7gCNLftr8eD0kbB6Atx8K8usARgGQ00awbpIJcCotIgoBCAsgFPd4uH5AKt2HMWiKRakGlQwaRTcWMx+3+oJ8vyIjud0+oJ4/D8n4vqDLR38Lo8/hBVlBTy/jR3Ll0zLw8Yvq6GSS7ByRgFe+fw0/qdkCHxBGs1OYRtt8wThC7aLTjS1+Z96lVRwriKXUdx9EfJVOvOh2WPHteed7Fpr8wR44q/sMbNMGp6P9+D0kTjZ4OK1vbVzx2B6QRrxO/qYRqcPbn+o0/be0I358vkQCIUF260/HObm2YFwWND/F2q3tTaPcNwias4ebWftngAkEomg/YyOFbj9oRhBnmd2VuCFeeMAANo4Yl0aRdchxgaHD3ZvnHiLNwgaDM/eC/lvrd6AcHlPAJ0FDIqGGLFqRiGWbzuCOrsPm/fXYMPNY1HR6ILTF8LL/3cG6UY1xmZ3eRm9QtwdskX6jj0Vj8kxa7H+5otwqNbOjUNFmUbRcy4Cn8Y48ZFGp/DYkWPWovycnSvTE7vU0Z/q6INIqUjboGla0AbRdMR3Odfq5ZWrFhDE9gVpVDW78Y89lVh7QwncgTBUbcFipUwi+Hu9Sga7N9Slz2fSKGBQyzn78/73Z/HE7CJUNvFj0y/uPcWV97XNR9nxNF77rW+zoay4utA4L5UAy8pGw+ELwOYO4OX/O8OLN738f2eQkaDGmKx2oTpWJLWjvbx6dFrnDy0KmmbQ5PTj9skWMAwTE5uK2DfxuxkVDTFi1cxCTlRVJZdg1cxCFA8x4sAPtk59czGIWbPoTnxFKA7UnfgPgUAgDHZscdYibd2w/QQCof9o9QZx84TsmLXFVpHvE/QVF2I9h0Ag9C31DuEYdUMnMWoCoaeQ8YPQX5C2RyAMbgLhMFbOKOA29GHfBQiEL9zmM0IQ20IgDH70KjlvgzyGAfcecX9C7AuBQOgLiG0hEAh9gS3OOpZNZE4ogUDofwLhsOCGnkESdyEQCD2gv7VL4kFsC4EwuGn1BjF1ZBpvg/HFU/Ng7+H8o1+FsAAsAXAMgKHt78cBPM0wzJsURT2LiMDVP9v+b2MYJpeiqJvafncjRVGjAdwEoADAEACfUhSVzzBM/3pzvUB/74Zu0ijwracVz++t4hrcfT8fgYs0CaLKG9Vy7DpeH6PcNj5HnHJbsl4Jhaw9QYaiAIWMQrJIxdpWb1BQSGu4yIHYoJbh+x+seG7eONjcQSRq5Xht32lclJUgqrxWEWcH2DnilLNTDSrMvyQ7RsgrVeTzTzUIK/6mGMQr/po08hgxnXW7KrBxwYQe1SFVZB2SdEruGbS6g0jQyvH6vtOYXigumSxeHxJ7Dy8E6UYVFk/LBc0AQxJUUMgonrCThAJGpunhb2sDQveSVTnVq6TISNCg2upGmlEFCcUItqEskxrzL8nGfR0Gk037qmHzBDjBqGgxJY1SONE5Va9CabYR8y+18Pp5kl6Je9uOD7S3nYWTLHjp8yp0zH1TySVI1is5wao6uw8vfV6FzYsuwb1vHcRl+ROwcse3vOOdbnZxIhAsMgmgaRMPe/i9I7zr3vhlNe98DNNuU89Y3UjWKdDk9GHRFAtoJnLvtUopkrVKwfqm6FVokfgFF1rLijO4a140xYIkrRIjUvUYm2VCMExju4AybZpBhc2LJmLn8UaEaWD9rkrU2X0waRTYvP9YzDlYW5Jj1uLx2cV4YOshrm7xEmibXe2iXmJFnliFX5NGgWVlo7F6x1HuvpZkJsSKY1HCohw1Ng9mjc3kXtZVySVw+8PYdaIBU0ekcnWRSChML0jDyMWT0eDwQS6VwBsMYsKwMQiEaJyxupFl0qDG5jkvwap4yZis4FfHxEsiStGOTiHDb7fz++Gft5djk8gxQQyauKIK0l45fopeeFwS61t0RbpRLXj8NOPAGXcIhAtNV3OaeN9HC1h2nAPRNINzrRFfoaPQktCYLdQ3bZ4A0o0q3rifoJEL1sWSpMXCSRZO0DO6fpHjt1/DrLGZaHREflNn93F+nVQC5Kbo8dTHx/HUDWMgk4Rx26XZUMgkvPnW6pmFkEslcPmDgnXJTdHjn3squevtmCy7rGw01u/iJ8b4gjRoBljdJoi1bmcl0o0qzBqbCakESGt7BgAE1fMrG12d+oOJGgXuvCKX80X1ajke++g4Fk6yQK+SYVS6HnZPAH+dVQx/KIw//c8oJOmUqLG6UZCZgERt5L4nt80dooVcpRSQolfA6goi3ajCDaWZXJvJSNBw/ix7nexcZfOiiaiz+5CkU3L3N7rOcedK+six0+LOY/j2XMh/iBZ/VcklcPiCvDlxk9PHiWCx9R4Iuyf8FEjRq0Azvk6F5FL0fbtDjkEVZ4592wQktDUvs1YpGEt5YPqomDp7A2G89/3ZmLnC47OLud/whHMlErj8IUH7mRLlD3mDYcH5hLfts1SDUlB4PN5cP9oHZ8WyhOZRT84uQVKHZ6BTymLmnFqlRPAeLfiZJaZ8NAqFFBOHm/D8vHFw+EIAAzzz6UkcOusA0L14RW/QU9+xN8RjAiGGNw7190vDgxl2DBEbx5VIqBg/6HztUsfjsEJvmxZMwGeVzRg9xIilV+VDIZMK2qC1N5RwcZmnPj7J+S4ThiUK1skfighnhZmIvSgYYkC6UYVhSVrB349K18PpC/G+Y8f1DKOaE0S/oTSTizkAkfZZ7/Dz2ui9V49AkyvAHTsnSYs3F12MFH3nsQF2bAfixy1Ks004XueAeYgBngANmyfASzgW8gXiCaA1uXwYntL1uN7Rl9h+UI2HfzEaq2cWQiWXotbmwZvf1GCNyHgyELF11xUPgSVJy8U+iocYoVBIe2W9oatjdDe+Eh0HanT6unyWBAKB8GPDpBFeSy3N7tkuWAQC4cJg0sixuC15AIj4gk9/erJX103OhwuxnkMgEPqW9HjvuhjImiOh7yDjB6G/IG2PQBjcKKRSvLW/93f47inEthAIPwIYYOHPhqHZHXnvWSaJ/E2J2w+9zyD2hUAY/AzEjbOJbSEQCH1BokaOJQNwHYtAIIjH4Qthx8FzvLjLC3tP9fsmk8R3IRAGN/2tXRIPYlsIhMFNQhxdoVKRukLx6DchLIqiMgH8D4C/AFhKURQFYCqAm9t+8iqAPyMihDWz7d8A8DaA9W2/nwngTYZh/ABOUxRVCWACgC8v0GX0Gf29G3qYBp78zwneoPHkf07g8vwUUeXzUrWYOz6bp9y2amYh8tPE1T8YDuN3l+fG7BQUpMVpnGnkUkEhLXUH4Zx4pOlluHJUOn6z6UB7/WcUIM0grsv4gyHcWJoVs4tzICROfZICuKRSIHL/n9lZgX/ffrGo8nIpg1UzCrA86v6tmlEAhVT8CpDTFxRM5nKK3MVWo6CwakYhlm87ElWHQmgU4gLFmUY1rhw9hP8MZhYi06gWVd6sVWDFtQVYGaUAuuLaAph1ClHl+xqaZnC0zskl9L3Y1sb/sacSG3ZXQtUm6DQy1YBQiBa8l6PTtHjomlFgGMAbCqOy0Ykt+2th2x3AhpvHCrahsbeNj/mcFWwaatLA5vYj3aiCVNIupvTC3lNYUVaAlTs67NxFB3Fjh36+emYhWtx+wbYjlQB/nVUESVTSIXstKjmFh64ZibcP1GLxtFzkp+ihU0ix/uaLYPcGYo63ZX8tnphTjLM2Ly8Be2hiIXLMak7YQiWTQCOXwuZpT5Rkk71Zm/rVaSsoisEj/3ssxoF//fYJKM408urLlkvVyXHP1SNQ2ejiFloXXDoMz+6t4q55eLIORW0JhzlJOtS1unDn5bkxfXOoSQl3AMhP0aOi0cmdXykD7rw8L+bZ65XtwlH/U5gOk0aB43V2LCsbzQlwdLwWk0aOX77wVdwkRKGFHVbht87uw+avI/fseL0DYRqwunwxCfBmrQKrZxZi2ftHeLZv075q3FCayXsGT358HDeNz0Jusg45STre+VP0KrgDIazecZRnS7PNavx+ah5P6EysYFVnyZis4BcRpYiP3Ss8JvRUkTUamqFjbM2KsgIwTO+8vVCQphe0pQVp+t45frohRojvkesKUZBu7JXjEwiDka7mNELfP3JdIf6+qwIABOdAZ6xuPLD1UIwv8/TcMWhy+mLG7IJ0Q8w5Hp9djD++cwjVVi933GyzmhOXjC6vkFE80Zgl0/Lw4eE6PHTNCIxIM6DJ6cdLt5TioXcPRwRdAG58ZMU9F0/Nw2MfHAMAnGpyYcW2iGDu2k/5Ptmy949g0RQLhiVpY8bTh64ZiRqrG1NGpIABg19NyEJ2kg4v3VKKU40uNLsDyDKpOZ+HhRXu8gVp5KXokG1W88bWLyqbsHJGAd7aX4M7puTybPCqmYV47cszAOL7g/5QGDsOncWNpVm47+2D+N3luai2evHOt7WYNzGb58uz4qQ2TwCLp+Zh+8GzGJ6sxROzi+Dw+PHE7CKcbfXxfIsssxa5SRrc9/MReOjdw8g0qbByRgGqrW7BcanVE8DiNyPPetWM0YJiPXqVFE/MLkJlkxs0ExHEGJ6shScYxNq5Y1CYZhAcLwrTDLzzCfkP0eKvT90wBjRD8wRoH59dLFjv/t494adCMBTCY7OK0OTwxYi8rigrQKiPd8hxxJlj27wBjEiJ2LkskwY3TeDPsR65LtL+Vs0sxPIouzA8WYc7r8jF8vf5c16Dqj1uEW1nf2hxY83HJ2Pa7LO/HodQVKwlvhhcZC6dlahFXqqOJyaYl6pDVmJsvKejD16abcTdV+ULxnsYKhwT8zKq5bihNIt3Px67vgi/mpjD+2zFtQVINSoxPKXzmFNmghZHzjqx90Q9JuWl4PKRKZgyIqXNDuhQ1KGf9yU99R17Kh5D5kC9j9CY0xlyKcONRxqFFMvLRmPVedglIX/qgemjUJKRgOoWDx794CgWXDoMChklaINqW71YNaMADq+f811WziiAUS2NOS47v1fJJWhy+rBuZyX3ud3jx4PTR8LqCUCjkCIzQYNAmAYYYOv+H/DIdUV4+L3DMGkUMcLtS6/Kx+h0PWjGAgDYeqAWs8ZmcjuZsXVd8/EJbpxdNaMQBrUUI9MSurxHRelGrJpRiE+PncP/FGfEPKvVMwtRb/fCkqJDQboRrZ4AHptVhNPNUb5Cig7FQ/j9M9Wg4gmJ6pRSMAzgCYRR1eTqsk9G98N0owo3lmbh929+x2tD91w1AkXdnFMqFFKU5iTGfN4b6w1dHeN8bItEQsGSrCO2h0Ag/CQxqqWYW9phLXVGIYya3tkYgEAg9C02j/A8v9XTvztpX4j1HAKB0LcUDTHiiTnF3HsI8ealBEJvQsYPQn/RGqft9bdPRSAQxOEPhjC9cAgvtnHv1SNEvyfdV8Qd10S++0wgEPqfJncA3iDN2zTn7ivz0ewOdF24DyF+M4EwuBmoG2cT20IgEPqC1gG6jkUgEMSTblThmqJ0Xtyls42LLxTEdyEQBjf9rV0SD2JbCITBDcPQmD2Wn/sV0Qaguy7cCf0mhAXgbwDuB8CqD5gBtDIMw66A1QLIaPt3BoAfAIBhmBBFUfa232cA2Bd1zOgyPCiKWgRgEQBkZWX12kX0Ff29G3pPd7Svt/u5BE227PL3j6Ak81IY1V0rQ8qlUi4pki2/Yls5NopUbzRpFYKJlSaNOBGkRleYE6rh6t92/mHJXZdXyWVccjlbft2uCtHqk80uYSGhZpe4BZxAiMIWdqelQAhqhQwbv6jCfT8Xr5ynU8kFk191Srmo8qEwkGqQ49XbJnBt2BcMIiQyt/hYg0OwDY1I1aFkqKnL8nV2H974qpp3D17cewrDkjTISeq9xKrztS1CiWErtpXjuXnjUG/3QauQoSjTAJlMghqbB58eO4fn5o1DqyeIBI0cr+87jaIMPVo8QZ7YF5uUeLC2NU6SfayolC9IIzNBjbWfnITNE8DqmYXISdJwC4iHzjqAr6uxZk4JGAAGtQyv7zuN2yfnYtn738UIOLy6YIJg2xmXbYJOIcVjHx6LaZuX5iYjM0GN/zdlOE8sYO3cMTBpZDHHs3kCMGkUuP9tvhDGw+8dwQvzSpGVqMEPLR68/lUNFDIKT88dgxBNgwGF+lYP1t10EYoyEiCRUEg1qHCi3il4X6yuIK4clYoPBGyx1RtEIBS70Bp9zaPTDVAo2pNWzrYGBG3Lq7dNwC0vf80d59Hri5BuVGH1jmP4f5OH4fl542DzBGHSyOENBBFm2kX9ZDIJJuUmIdOkRovbj9FpeqQYVLzE/iXT8iCTUtw5OyYhxlvYGZ2u5+79obMOrN5xFDeUZqI0OwEMgNf21cQoi985NY9LimcYYNO+iODFpOFJACJCi5v2VaPOHhG6GJtlQlaiNub8S6bl4abxWTzhtrLiDC5RPN61dKfPsWVZwa/Y/tJ/ohQDzW/RqWL7oUougVbZe66khKLw7N5KLJxkiYjJMMCzeyux7qaLeuX49a4ANuyp4B1/w54KlOaYYFH3XCRRJpPgupIM5KXoUG/3Ic2oQkG6ETKZOBFOAuFCcSHtS1dzGqHvs0wajM0yxZ0DxbPZUgmFKfnJ+FluMppc/LIdz2F1+3kiWABQbfUiI0EVM+YD4D5L1kXEQjNMapy1efGb19pFnh6fXYwhRhU+q2zGW/tr8eScElQ0Onnj3uJp7fMTioLgddAM8OA7h7Fp4QQ8++ux8AZopBuVqGh049EPj/PmNlqlBA+9exiPXV+M5tNW7DpWHyOUEy1YIZNIsPaGMfjVS19x595fbUeitg73/nwkbn35mxjfe9EUCw6ddfD8QVCAQSVDvd2Lu974DgsnWbBuVwVMGgWGJWmxeFou8lL0WPPxcd7xntkZscEbdldyglEPvnMY9/98BIan6NDs8sQItv7p3cN4YV5EaMwXpFHT4sPJ+lYsmJQrOC4dOefgPtMoZXj7QC3nd2oUEV9lbFYCWtxBng/3x+kjkZmgwWV5JpyxuuOPF6p2vyBeWyzOMOCDxZMhoYDpz3zGu56qJteA3D2hNxhovktHWj0BBMMMpFJg7aeR9rpoigU5Zi0yTWo88dEx/PGa0X1aB32cOTZNA/XOAHKSgRqbJ8bfffi9IxibZcJ1xUNgSdJywrVyKYVl7x2JmfPmmNvn/dE28Hi9Q7DNWt0BDDNruM8YUFg5oyAmnhKR7I4cc+qIVFiSdF3Gqzr64BdbksEwFP6xh+/z/WNPJZ6cUxJzjECIjokNPfjuYSyaYuF9tnJ7Odb/8iJUNnhQmhO/P7H3Y1SaHt/90MqzA49dXwS5/MIJDvSG79gT8ZiBOAcSYqDbFpZWTwAfHq6LGXPyOomhMoyENx5lm9VYd9NFYMDAH2Kw8YsqUXapM3+LbWMtbj+0SmEbNCJNj+XvH8GTs0vwzE1jkKCR45XPT+NsqxfFmUa8tvBinG314lSTi5vfr5xRAH8wEuBjY56vLZiAb39oxfvfRwQy7+3w8oVGDjw9dwzCNMN9x5Zf+8lJLJpiwfpd7cJaIZoRbKMj03SRGInbD7lEXJ9VKKRINSiwcFIu7t96EDeNz8KTc0rg8YfQ4glgeLIWJo0C2ewiLgUEO8R7nrqhJKZ/Zpk0nFi3kMBXVy/MRvfDWWMzY2LJz+yswPY7J0Gl6p15d2+sN3R1jMFiW4DBY18IBMLgoru2xekNcyLMALtecASvkZ3sCIRBgUYhFfSx1YrenVt217ZciPUcAoHQt8hkEkgpSYd56ZheX3Mk8yJCNGT8IPQW3bUtavmF8akIBELfoFbIseZj/obLaz4+gdcWitvwVyy9Ni9SkHGNQBgsmDRyLPmUv2nO05+eFJ1HIhYSdyEQflpcqE3jiG0hEAh9QbdjLhdoHYtAIPQdgRAdk1vxzM4KjM/pOq+6OxDfhUD4aXGhtEuIbSEQfmpIsHIHP/dr5Y6IdkbPjtoPUBRVBqCRYZgDF+qcDMM8zzBMKcMwpcnJIpSMBgBsQttESxIsyboLqjKfalBBJec3j+4k6J6xegSTXjomnMej1SMs1mMXqTztCYQFhbQ8QXEqTA0OYSGqBodfVHlbnPrbRNZf3zZoRxMRoRIXcHD5g9hfbcfiN77DA1sPY/Eb32F/tR0uf3fULxksvSqfq4dKLsHSq/IBihFVOhRmsHzbUeytaMaJBhc+q2zG8m1HEQqLK19nF06cqrf7RJVPNahwstHFuwcnG129nmR+vrYlXmLYN2dseGDrYfzlg2Oot/vx5almNDn9qLcH8PVpGyoaXfjmjA319gBavSFOBIstv25XBWaNzQTNANlmNe68Ihd3TY38l21WI92gFGxb1S1e7p4ve/8IWt1BLJmWx/32ZKMLvlAYCpkE4TCDSbkpaHbF6afeIFZcW8BrOyvKCvDK56dR2+oTbJsahRS1rV54AiHcPtmCdKOKW1zQKGSxx7u2AE1O4X76TXUL7n3rEJ7bW4W7pubipvFZWLXjKAAK9799EBkmLYoyEgAAVU0uWN1+aJVSwfuikks4WzwhxwwA+Oq0FVVNLtTb/TFJ6k9/ehKzxmZyCY/DOyyKxGvX0eKDviCNh949jC+rrLjYkowlmw9h/r++wZI3v4/8f/MhqGR8W8DWsTTHjHqHH+t3RRLL75qai4WTLNj4ZTVPSI89J0u8hZ0wDaydO4a7NzZPACPTDLgsPwWWJC2nLP7AO4dx39sHcU1ROhrsXqhkUrz4WRU27K6EzRPA2rlj4A+HsW5nJTbsrkRdWz/2BWl4AiHB8z+zswKZJg3vfsUTDYm+lnh0lozZ0zGvLxhofovbH8LiqXm8frh4ah48wd7bwc8TCKPa6sWG3ZVYvyvSVqqtXngCIhUUu6DB4RM8vpj2IxaZTIKSoSb8vDAdJUNNRASLMCC50PalqzlNx+9lMkmnv49ns4cn65CTpMPwlNiyHc9h1gr7QyZNZHcMJspdjS47PEUHuzeIykYXb1HBpFHgVJMLLn8Il1jMUMgoPPrBMahkUrz0eRXq7D6o5BJkJfLHNaE6MEz7vOPWl/fjt69/C38o4p91nNu4fRG7WWvzYN3OSlw+Kg0bdlfgritysWZOMRZNsXCCFatnFiIQCsMTDMeIA+elJuCLU1bBcTIrUcPzB2taPHjyP8fR4PAjEGI4US+TRoF5E7Nx39sHsW5nJe57+yBuLM1CulHFOx5FRR9bDZNGAa1CBo8/jLo4c7AWd7vPufVALcYMNePQDzbc9/MRvHFp5YwCvLW/liubmaDGrydmRYIeTMSP+PXELIRoBn/9iC/S9dePjsMVCEEioUSPF/HaYl6qHpZknaDft2V/LR69vohX74Gwe0JvMNB8l46YtQpkJmqglEqw8toCPPSLUdhzvLFNZC2M+ROz4etFv0YIX1DYnzrX6kVL266lnfmsMpkEiVoF9x9Awe4L4kS9Ez/YvDjZ4ITdF4RGITxXGJFqEJ4LWt08f8vuDXJCVex84h97Knm7aYiNV3W8HooCWtwBwT7W7IqNt8S7H3SHsIIvSMPqCqDe0bVfJ5FQcPiCnMAeW/7Bdw+jvM7eZfnepD99x4E4BxJioNsWFrNWITjmmLXxBXdd/hBvPKq2erH4ze+gkkuRoJZ1yy7F65NsG7tiZBpavUFBG1TZ4EK11Yt6h4+LOVVZ3QjTwF3//g7eQBhrPzmBMA3MHpfJ2QSTtn1XMV+QRosniLWfnERZcYagoJNCJoMvFIY7EOq0X7OxLUuyNo7N8uDrMzY88M4R0XHWM1Y3fvPat6izR8b4xz86gd+/8R0eeOcwHv/oBM7ZfRjWdt/OWN04UN0aI2J+z1sHccbq5h03Wrxw1tjMmJdOlm75PqZMNNH9MF68o9ktLhYtlt5Yb+jsGIPFtgCDx74QCITBRXdtS7NbeI2l2S1uUxwCgdC/yKQUby2148Y0vUV3bcuFWM8hEAh9yxmrG0/85xgXn7t9sgVP/OdYp3PM84HMiwjRkPGD0Ft017ZcKJ+KQCD0DdY4G/62iNzwVyzdtS2egPC45hP5/jiBQOh/7J5gj/JIxNJbcRcv8ZsJhEFBZ+9l9SYkpksgEPoCEnMhEH56NDmF3ylpcvZv3IX4LgTC4OdCaJeQmAuB8NOiOc56kVCeWHfoLym8nwGYQVHULwCoABgAPAMggaIoGcMwIQCZAM62/f4sgKEAaimKkgEwArBGfc4SXYbQA3LMWqydO4YTJulugm683bo6JsLEQ6MQVm8UqzzdGCeJutEprsOktokFdTx/ql7ZSal2tErh+mtEClkppJEAA5tAxQYcFCKTIvUqOUqzjZh/qQVefwgapQyvflEFvUouqjwAeAMhKKUSLJpiAc0AEgpQSiXwihQksXmDuLE0i0t+Yx0Pm0/cIlS6US14D9MM4hKnetqG+xo2Mazj9TEMkG5UYf4l2bjl5a+5uq+4tgDP/jeSIJxtVuOOy3LRGEcIiqKAfaeacOcVeVjeJpqgkkuwakYBqppdMW1r8dQ8bNpXzTvG4XN2vLW/FgsnWaCUSZCXosNfPzqGaquXE7bSK+P0c5kEwVAYa28oAdN2rX/98CgutiSjqskVUybbrIZeJcffPo2tU53dB4c3iGf/G0nEpqiIOMWz/63En34xSvD8Ybr9OlbvOIqFkyyweQIwqmVYMi0PSjkFmmbw8bEGrn28elupYJ9jdwGjaQYfldfz2tOaG0oE7/+IVB1evKUUE3PMMZOAFL2wbTHrlDHHoZnOEyFzoRdsWzqlDDZPABt2V/LOEa1+2zEJMd7CTpPLF1fhN0xDUFn8rity8fpXNVg0xYKLhiYg26xFjlmL081uwWvPStTGPb8nEBIs0/FvMQmVqQYVss1qlBVncCIc2w+e5a5JrL2gaQZnrG40OCICWn2heDwQ0avk2Ly/htcPN++vwZNzSnrtHPHsYqpIu98VKXrh4yfrBl5CLoFAiI+QzV4yLQ+nrS4MSxJnk+PZ/dNWF+7693e8z6YXpPGOWWf3gWbax+d0owrzJmbzfN7VMwuxfncFNu2rxqIpFmSZNGhy+WFUyTk7tPVALRZPzYvxlTftq4ZKLoGMaj9nvEUMthzr49s9QVRbvVjz8UmkG1WYNTYTs8dlYlxWAv68vZzz45ZMy8PGL6s5YUqpBKAZ4TG23u7DP381Ft/90IowDc4/W/b+Ebx0Syk3v7uhNDNG9GLdrgosnGThfBLW12X/fbbVi/mXZMOkVUAll0BKCdfBpG2/b3V2Hzbtq8Y9V+XCrFPi+XnjYHMHYdLKEWZoZCQoueuSSymEGQr3vn2Q51PTDB33fgLix4uu/Aehcc3mCWBsVgI+6OPdEwixMGDwQ4uXE8xm5zRvfF0NuzcEb4hBgjq+YE1voJTLBP2p+64eiaS2+UA8fyhZp4qZjzz767G4Y0oup5rPXhPDCItPD0vS4pHrCjnRlmi7U5Bu5H4XLU4ajTdAdzxklwhdT2Jbn4+ZEwkIBiXFmT917DIquQTuQAjDksXN9zsT3i4ZGqfQj4yBHjMZbDBgBMccBvHF4H3BsGA7dHhDuO/tg1g5o6BX7ZJJLTynu+fqkW39isL6XZU8++gL0nAHQoI2ITpZRCWXIBSmuZiU0HUFwjT+9ulJ3Nt2PqF4WPTvtQopVs4o4Nntu6/Mx7+/rkZZcQbXZ8XAxhySdcL2JzrW2ODg+3rRdWp0+ni7wEbHMjoT7o63c2x0P2Tr0rFuwTADmmYGja9AbAuBQCB0j3hriWQnOwJhcEBRgFYh5a2laxVSUP3sul2I9RwCgdC3WN1+wXdtWtz+uHNMAqGnkPGD0F8MVJ+KQCCIQ60Qfn9UqejfjQPVcqnguPbYrKJ+rReBQBCPTi0cO9Wp+jd2SvxmAmFwE++9rP7e2InYFgKB0BeQmAuBMPjRq4TnRXoyLyIQCD9CiG0hEAY36UbhmItYTZh49IvXwzDMgwAeBACKoi4HcC/DML+iKOotAHMAvAngFgDvtxXZ1vb3l23f72IYhqEoahuAf1MUtRbAEAB5AL6+gJfSp4RCNMrr7Kiz+5BuVKMg3QCZSCGkniKRULh6VCo2L5rYdn4VCtKNopNuDCoZll6Vj7WfnORezFp6VT70Il/e1qtkWFE2CnUOP2gGkFJAmkEp2lFPiSNklSJSyIpGGKtnFmJZlIjQ6pmFYChxIlBquRSrZoyGRiGH2x+CViWDxx+ERi5OCMvqDmLjl9W8QXvjl9XIFflSW5gO44bSLNwflYC3ckYBwoz4HY1UMhke++h4zD18+dbxosob1XLBZPiNCyaIKp+gkeGxWUU43ezm2kBOkhYJWnFiXhIJFVfAZyAglBi29Kp8hGkGf/rFKDz58XHu+QMR4aey4gxs2B35/8rt5XhhfmncpOA7p+bht699y7v/y7eV46kbSvD0p+2iUiNS9Vjz8XFOMIA9Rl5KRGRpw+5K3HlFLl76/BTuuXokT1htWVkBHrpmJJrdAe4ZmbUKyKUU/vnfKtxQmonR6QYoZBL85rJcHD5rx5b9saIPD0wfxd0Htq6scMJLn1fBEwxjan4SJucloantWXp8fsikFB67vggPvnu4U1GvkWl6PHZ9AbQKGWiGQVWjCwwD1La4cdcVufCFaIQYBkWZerx863g0ufxI1imhllNweIM4UtuKVm8QLl8Qv5+ai9f21aDO7oM5TgK3hKLw9ekW6JUyeAJhnliSTikVtC3nbPzdW9nnSDMQFLXrbMElQSPDn68twJ+3tyeL3vfzEQiHaaQbVbihNBP5KXowDLhkSqGFnWyzGmq5FF+dtkKjkEHa1ndYIaiKRidMGgVmjc3k2unWA7XwhWjYPAGMTDPgsvwUrs8NS9Ji/c0X4VCtnWsvRZlGDEvSgoojfNHiDvDay/aDZ2OS98UmVGaZNPj91Dxe2UeuK0SWSSPaXggJogmJpPwYUUoluOuKvJi2q5T2nl/S1wmzUgkEfYtevAQCgRCH3hQRlEgojE7XcwtzrJ9s8wTwweLJopJAhOy+hAIe/aAcz7UJKyVq5Xht3+m28V6KQDgMs1aJdKMax+oc3Lg1a2wmdh2vxxNzSnhj9Zo5JfisshlhGnjqk5Oos/uQbVbjL9cX4U/vHkad3YfN+2vwz1+Pg8sXREWjC5v2Ra7jkeuKoFZI8O/bx0Mtl8EXorF4Wi5oJjLW1tl9kbmNQYm/ziqGRiHBirJRnKAUKxi1YXdEzEIyxYJqqxfFGQbcPmU4vIEQHp9dhDX/OYGTjS6MyUzAyh3luPvKfDz9afv8jRViLRhSgHU7O4pf0PiuphWPXl+EZ3aexF1X5AmKP7A2NlqASyWXYFnZaDh9QbzxdQ3+cn0RGJpBboo2xk969Poi6JQSPDG7GPdvPQRfkIZCRiE3RY/j9S6ev/Pnawvwx2tG4dcvfd0muMFgZdv3bH1Wbi/Hq7dNEPQ7ErVyVDW5IKEgKJDacbzoyn+IN65lJWq5HRQIFw5/iOHEVIC29rCjHGvmlKDeERGQ2yRyriqEGDvnC4QEE9jkMooTr4rXbqQSYM/xOvzr1vFodvqRrFcCoPHs3kr+vHFvJdbddFHcuuUmaXn2k7U7iVHz7ASNXLCPGDUywWN2Ztc7Xs/2g2dxWX6SYB8T8itTDUqsuLaA68usDxoKh7k6svbKkqSBUd15zIWmGdS0uJGgkePeq/ORbdbibKsHLn8Y2w+eRZpxcAmk9mR8lUgoTM1LxqYFE1Dv8CPNoERRN+J+PT3/jw1/SHjM6SyGFk8UrsHhhS9IY8W2cmxaMAFVTa6Ye9zx3meZNKixedDg8EGjkHF+C/u53RuAJ8oGmTQK3FCaibuuyINRJcPfbiyBUi7F0qvyEQhHbEtZcQbSjAqYtQpBP4SN8bLjOitcyX4W+/KFHIEQg1qbB8vKRmP1jqM8G7Dxy2re71VyKY6fa8U/fjUW37cJcv7762osmjIcTl8Q2WY1UgxKfHmqucv2x8Y8wgwdY1NWXFsACgwO/tCKgnQDUg0qGJRSPDB9BBI1CmiUMpxt9eCNr2tiYjEdYyndfWE22pdocfsxPEkbE+Na9v5hvHzrBEG/IV4fZG1dg8MPdyCE7EStaMHYnnI+8dj+XAMhEAiE/karkAqupWpFriUSCIT+RU5FNgHLT9HDHQhBq5DBEwhCTvWvL3Mh1nMIBELfopBKeC/5ApGXfH+Wa+7fihF+1JDxg9BfDFSfikAgiEOv7Nl74n2FUibFbZcOw1/b3n9WySX44/SRUElJzIVAGCx4AyHBDQa9wVC/1ov4zQTC4GagbuxEbAuBQOgLSMyFQBj86HuYn99XEN+FQBj8DMT3doltIRAGN4lahWCehlnXs43hB9qWsg8AeJOiqEcAfAfgpbbPXwKwiaKoSgAtAG4CAIZhyimK2gLgKIAQgDsZphtKPwOYUIjGewfPxgh2XFeSIXpA6UlCGk0z+PhYw3mLfYRpBpkmNdbMKeEmzBIJQLcld3aFTklBJpXi+b1VvEFLpxRXf6WUwaoZBVi+rb3DrJpRAKVM7PkVMOtoPD9vHFraEuFDNA2tQlyH8waDoBkK90YJUf352gJ4g0FR5ZP1ctg8AWzY3Z5wrpJLYNaJE4GSUtKYJN8V28qx8Tbxib0OX1Awmd3lE7eIZHX5Bcu3uP2iyjc6/bC6Arw2cO/VI9Do9CPbLC5pnE0wH4hJ5h0Tw5K0SlQ2ufCHzd/jD1fmxSRIPzh9JLKTtHh8VhHSE1T47KQOdXZPTDtfPbMQmSYl6uwBwfvPAMhIUGJEmh5efwgyCXDn5cOxfFt7AuLdV+ajrtWDpVflo9HpQ7JegcwEvrDairICUBSglPP76coZBVDJpVgyLY8nTLB6ZiHGZ5vw/N4qbNpXjbuuyEWaQYUamweVja64wgmLp+Yhw6jEqCEJuPXlr3n9OSNBBZfPiefbBCtSDEr88Z1DMaJeFY1OZCZo0Oz24e+7KrFkWh7+vrMC1xSlY/3uSviCNK4enYQrRw3B8m1HeNeSoJLiszonL0n77ivz8coXZ9Do8AoutDY4fKAZYOfxRqzbWcmznzIpoJRLeKr6yjaRvuhE7sdnFyNBI8P3Z6yYf0kOKhudnHDP/EuGwekNoqrJFWPXaZpBVZMH//xvJCFeKgFGpRkgoYCcJBXu+/kIPBSVVMnWq+PCTrZZjd9PzcONz+/jXdvm/TX4/dQ8/H1XBX45IQvzL8mOSWCfkJOIWRdlCI45gRDDay9r544BEBGp6ihw9ch1hRifY0KT04/NiyZyomJZJg3GZpm6LXBXY/Nwx2fb2MPvHcHYLBMsyTpR9uKM1R0j2rZ0y/cYKVJ4ZTBj9wVg0sp542IgTMPuC/TaOfpawNDuCQj6FnZP710DgUCIpS9EBOvsvhhhJgBodPpE2+OOdv9QrQ3TRqXjN5sOcPX8y/VFaPUGoA5J0er24963DuKxWYUYnqLjRFxSDQrMHhvrJ/lDIdAMeDvnVFu9aHUHcP/PR8CsU+JUkwvH6xx485salBVn4JcTspCbosPjHx2DUSXHwsnDcK7VwRtr2fH4zstz8dTHx7G/2s6NwU9+dDxGXOaR6wrx1McnUZxhwC8nZPPquWpGIQKhEP726Unc9/MRUMul3PytxR1AmKZxz9UjYGoTxclP0UWEtNqEfltcfhjUMtz+M0tc5e78FD3WzCmGwxfE6HQDknVK1Ng8WL+rEjZPRPDS5g4gx6xBnd2PDXsqOB9mZJoB//r8FOaOz0ayPjIG2TxBJOkUoBmG83fYe/zP/1biidklnJ/V4hb2h5tdfkFhUho0frHuM6yZUyIoSnxRVgJykvjtqzP/YaAL8/7UiNceGDDQK6UwaRRocombq3ZErJ3TKmSCu1SsnlnICWHFazfH6u0ozUnCgle+4fXhe67Mw/3vHOHZiECYFqybSaPAhptLkJmg4c17Vs0oAIP2MiaNDKtmFHb4TSFMbUJY3bXrChnF9UuDUopmlx9fV1l5woMvf34a2WYNRvpCUEUJoKdqVUgzKrj+b9LIAYrBy5+dwfPzSlFv90KtiAgQ3jg+GxSl6fQ57TrRgIoGV4xd3X7wLO68PA95Sf37Ylt36On4GgiEse1IHZZH2cJVMwtxXfEQKBRdJwH8lEWChYhnY1rc8ecaNGjB8SgUDuOuqbnYeqAWTS4/5v3ra949vnpUakzM9pHrCvH3XRWotnrbhCQL4Q/SOFrngEYuhd0XxBCjCpv312DJtDwY1HKeENUzN42BXCJBVqIGiVo58pM1oCRAdqKad37WD/ntZbmgJMCaG4phVMmxfFs5FDIKf51VhDq7D6tnFqLW5sGW/bWweQJYNaMQCWoZF0MwaRRYNMWCrEQNMhPUOGv3wtY2L2PP88d3DuF3l+fiH7srML0wHUk6FWaOyeB8iFUzCvHER8c4X6iz9sfGPOrsfrzxVXVEwDQQglohw4t7T2HKiBS8+FkVHrmuEGUF6UjWq3iCVEum5eGeq0YgrcNCTHQsZeuBWkE/LMsU3y5FEwwzyErUcILtrFhhnd2HBkesjxuvD149KhV7KhpjbN2F7J/dicf2xhoIgUAgDG7CSDOqeOsFaUYVQNFdFyUQCP2OzRsAxQamGAAUQFEUbN7+XXO4EOs5BAKhbwmEaUFB/ei4H4HQ25Dxg9BfDFSfikAgiMOklSLNoOTHNgxKJGr7V3DK5Q8i06Tmj2shGq6AuPe3CQRC/2PSKATfr3i67Z3j/oL4zQTC4Gagvs9HbAuBQOgLbN4AbJ5QTK4gibkQCIMHKUUjL0XL8xHCNA2ptH/Xi4jvQiAMbgbqe7vEthAIg5s6u08wT2NYkiYmF7M79LsQFsMwewDsaft3FYAYpR6GYXwAbohT/i8A/tJ3NewfyuvsgoIdeSk6lAw1dVmeTfA7VGvnxFOKMo2YOiJVVKDudLOw2MeI30/G8JSuG1yQZlBt9cQIpJi14oSkrO4wlwjGnn/Z+0ewccEEDBdR3h+msGFPJW8BZMOeSjw5p0TU+cNhBg2OQKzynFYpqrxcKsOft3/Lq/+ft5dj4wJxQlQMQ8UkTy2ZlgdAXJC1KY4IVXcSe81apWAyu0nkMzTrhMsniryHElBY8/EJ3j1c8/EJvL7wYtHXMNCJTgyranLhsQ+PYeEkC/JT9Pjdv9vbj0mjgCcYxh2vHeC1xyEJKpyzeXmCc55AEBJKimqrW/D+G1VS3FCaFSOC8NL8cfjqjA0KqQQqmQSPRe2G9Zfri7Bh90nes1i5oxwv3zpeUHDtuXnjOBEs9vNl7x/B6wsv5hQd13x8EtlmNR6YPgoMwwjWNTdFj8c+OIbSbBMn9sUeb/m2SH9yBxjcv/UAJ970u8tzuTqxL4Ru2lcNmyeAV26bAF+Qxpvf1GDVzEJO6AIAfjVxGO9v9lpevnU8ntlyiPf505+exMJJFqQnaLD204qYhdY/Th8Fuy8I9j3UaLEkuzeM+98+FHOtGxdMwNNzx+BYvQNhGlj7yQk8MH0UpoxIw77TLTzhniXT8qCUS3HjC/tiEhnPWN144J3I8VkhPVWb8JZJq+BEsDrWy5Ks4y3sqOVSTgSL/e26XZFrffi9I1g4yYJQmOGExNjfPLOzAv/7e2FRqM5EpADg77v49/Lvuyrw8q0TUJoTu7Pt+QjcNTh8gnaxuhuCkfGO0R3hlcGKUa3A0TpnzLg4Ol3fq+fpSwFDf5iJ61sQCIS+oy9EBFMNwqJLKXrVedfT3zb2R9fzT+8exsJJFrz0eRVWzijAnZcPx74qG97//ixuGp+FJ+eUIEWvxC1tYp1suZU7yvH8vHFYv6syxh9JN6oQYsD5YndNzUW11YsNuytx5xW53L1a98uRqGx0cj4Ae+x1uyrwxJwSPPXxcZQVZ2B/tZ0bgxdOsmDjl9VYNMWCvBQ9GAAtLh9sngAe/MUo7pzssZZvO4In5pSgyRUR77j3rUM8H+qFz6rw4PRRaHIG8PdfXoRmV4Av+HVtAZK1SmgUUlQ2uGLmL4un5uEvHxyDzRPAwkkWNLsCeDjKDgPgrqfVE+JEd6J9mIWTLNjyTTXmlmbzRXlmFuLOy4Zj+fajvPM5fEFcNyYDjU4fpBQVp50oce/bB3l+x/rdFXhqTgl8QRoVjU5BUeLzaV9C41pPBKsJ50+08CyLSi6BQipFrceL+ZdkI81wfjZErJ1jKAZ3XJYb40/VWN3ITzNwvxNqN25/WGBOdATPzxsXYyM2L5ooWLffXmaBPwxOcC46VvJUVKzE7gkL/KYCT84u6db1sr+969/fcb+984pcjNUpcXUhX3hwxbUFSNErcbjOjvHD2v3/imYXGh0B3hxv48IJuLIgDYs27ef1//W7K7Cmk5jPGasbh2rtgnZ14SQLlm87gmFJGt75BzI9HV8PnbNzIlhs+eXvH4ElSYvSnMQ+P/+PjXg2JkUfPwYmYSRYv7siZjy6YdxQvPhZFZZMy0OaXhVzjzcvmhhz79l5+obdlTBpFGhw+PHQu+3j5pJpeRhqUuOOy3JRZ/dy4zUA5Kfo0OIOYsmb7YJKK2cUYFSaHnMF4gKsH7J6ZiGWvPk9/nHz2LYdgVRodPp5vsDqmYUIhiM25ck5Jdx3rKipSi7B03PHYM1/TmLNnBKcbHQiTLcLQK3YVo6FkyyweUJY8zE/lrJ8W+SaWV+os/bHvsz6XY0NJxtdWPzGd7znNDk/hbuPOWYtJ4LFXvczOyuwaIoFaUYVJkTZiOiXZKutblQ0OHlCVn/fVcGJbwshJGa1ZFoeth6o5UTeVXIJNALidPFi91sWTRS0dQO1f/Z0DYRAIBAGO2FaIrhesInEKwmEQUGSTolGZ4C3MdaKawuQpBO3Ft5XXKj1HAKB0HcopBJOBAsQjvsRCL0NGT8I/cVA9akIBII4frAFcP/WwzGxjRfnlyInqf/qRcY1AmHwk6iR464r8mI2FTJrxW0o3lcQ+0IgDH768j3184XYFgKB0BfoVXI8/Sk/D/DpT0+S3BkCYRARZiSoF8hvT9SQ9WgCgXD+DNT3doltIRAGNyl6lWCeRrLu/HN9gQEghPVjpicJrnV2YbGNersPJUO7Ll/T4sY5m5f32TmbFzUtblHKadUtbpg0Cswamwl2062tB2pR0+IWJ4QVYnhJVWzS0AvzS7uuPIAGh7CQU4NDnJBTg8PPJZRH0+gUV94dCHMDJnvuldvL8a9bx4sq3xin/mLPf7bVh41fVvOS4TZ+WY1MkwZjs7sun6hTINusRllxBvf8th88i0SRIlYAEKRpQTGuEC1ONdgbDGFFWQFW7ohyPMoK4AuGRJW3ugOC99Dq/nEqeFrdfm5XT2qyhXfts8ZmxvSnldsjIk2sOjsLm0S4ZX8tFk/N4+0SurxsNFz+WJGH5duO4KVbSrFuZ0SAYf3u44IiENH9iX0WQs/IGwgLfn7O7kWiVoE1c0pwvMEJhgFW7zgKADF1XVY2Gi/uPYU6uw8NznjiQ35eP622evGPPZV4YV4pvjrTAoZpT54EgCZnJDFzwaXD4PSGcPtkC4CIbbO5g4I2L56onFQCOH1BwZ1Y5TIKZo0CW7+txZ1X5HLHa3H70eDwC56nweHHfVHiFACwdMv3eH7eOLz5TfuuRgDw5jc1bX2pPZExx6zFGasbJxucgvWlmfh2lRVxkkgo5Ji1ABD3OBQV9f8QLfibJpdPcJzoTESKYSBosxscvScwFU805bsfWrkE3I7CYgB/LNcoZMg2q1Ft9fKO0RPhlcGCJ864+LLIcVEsfSkO0lPfgkAgnB99ISKYY9Zi7dwxPNGAtXPHcONYd6FpBvVxbAQ79q3YFpkL1Nh8qLZ68fhHJwAA6395Uae2hU1QWTOnBFaXH8EwjSDNcGV0SikemD4CiRoFkvVK6K/Mw6tfVMPrD4FmIHjskw1OVFu9nG8QXVdWWGLxtFys21mJbLMaq2YUwhsIxfHbQph/STZqWjw834gVhjnZ6EJ2ogapRiUe+d+jPJ/k2f9W4q+zihEIMXj0w+MwaRR4ck4JTrT5eR8dqeN8nrFDE1Br8wr6QWea3aATNXHv//xLLbEiXu8fwZo24aro+/zKbRO4F1X+r7IRK2cU8AR0Vs4ogD8cEvQ72HnGlv21ePT6Ik5AtKftKxohwQsh/4PQ+wTCYayaWcgJ/7DtocHpxcg0Pf68vRxFGcbzOrZYO+cLMth6oCaicO8PQaOU4dUvqnDLpRY0duGPxPNjbJ5gzGeeQFiwbtlJWjQ7A4Ltv8nVPs9udMaJp7QJa8e7XiHfvcHh4/X7oQlqBMNMXL+y43zf5Q/FzF9bnAE8v/cUzx5t3l+DG8YN7VT8u8Hhi2tXWVs/mPzCno6v9fHijg7fBTn/j41AOCw45gTC4bhlmt38/phuVGHW2EwMTdTg9skWvPlNTYxd8gXpuDFjtj8IxZDYmOyz/63E7y7L5fXL8TmmuMLgnfkhbn8YJo0C7kAY6UaVoOjmsveP4Ll541Bt9ca1Yw5fEHV2H443OLF+V2XM9+x1dXbN7N9dtT+jWo7HZxejqsmFLftrYfMEOMFS9hj1cdo2G1fpCPuSbIPDh0c/PBHzfWd1EhKzYkW32DjF4ql5CIbpmLLVLW7BetbZ/XFt3UDsnz1dAyEQCITBDitMHY0vSKPZ9eNcByMQfmxcqHWTH0u9CASCeDyBsGAsPTruRyD0NmT8IPQXpO0RCIMbl0/4PQSnT9w7wn0FsS0EwuDnnN2Pzd9UR96vCISgVsiw8YsqZJrUyE7qvwRIYl8IBEJfQGwLgUDoC5rj5MI1d/KOJYFAGFj0NL+9ryC+C4EwuBmo7+0S20IgDG6kEghq0kglPTsuEcLqI3qa4JpuVAsKdqQZxYltWF0B+EI0t/u7Si7B0qvyYXUFRO20Y1DJMf+S7JgGp1eJ20nDGwwJvpjlFfliVqpBKXj9qXpxirUpcconi9wtzBZH4McmUoQpSa8QPL9ZpBBVqkEJmyfASzxVySVINYirv0pG4XeX58Yk4Knk4pOrHd6QoBhXrsiEKY1chmf3lvPKP7u3EmvmlIgqr1NJBe+hVikVfQ2DiY67ekZfO5uUGw2bDCH0uU4lg80TwEdH6rhFQK1CBr1aigaHcJkWdxAquSTuuToONhHxH+F+plfJBD9P0atwrtWLU81uvPhZFe/7zftrsHHBBNS0eJCoUSDEMFhyZR6e+bQCaXEEjMxaRUxdq61egELM8VVyCZJ0Ssy/JBueYBiPRe0kuHhqHjJMStx5xXA0OiMJg1IKuPOK4UiNc425KXooZFJs3l/Da+Ob99fgL9cVgWYY3DghC6t3HOXOk5eiQ3aiWtC2ZiaoeIncWw/Uos7uQ5ihseDSYbB6Aly9Flw6DCGGiXp2fhyvd2Lplu9x+2SLYH0lFJCiVwoK5LEiTtHjVrzjMEz7/ykKceys8DiVohd+jsk6VdxjBcMMaJqJO252RzRJSDRlybQ8bPyyPeGVFRZjE0OFxvJHrivE33dVoNrq7VVhjIFOPOG7ll4UJ+xrcZC4voXIsZVAIJwf8YQIeyIiKJFQmF6QhpGLJ6PR6UOaQYUwDXx12tptET2aZnD4bCuMamH/pW3IhS9Iw+ryQ9phzDLrhP1+pVzKCVpQFAAKUMgoqBQymBVSZJvVuGl8FkwaBc9nXzItD3dMscCokeOc3dvleCxUV9ZXuWtqLiQUkJOshi9ACx5rWLIWFEXxxIFYQQipBJBLKaQblbD7QrjzsuHQKOVw+0PQqmTIShgOlz+EUJjhhDlONDjx4mdVMGkUmDcxmycY+uScYtz2sxys/eQk73oBIFErj3ut8US83IFQzGdOb7sokEwixVv7a2Jeirvv56MEz2VQR+a6Nk8AY7MS8EFb+0rRi2tTYvySM9ZYwYuO/gehb5BJpAgEQ1gzpwTeYES05UyzC43OAKyuABZcOgxhkaLPHRFr58I0jakj0zihGLa/MQyNNKO6i3MI+zEmDT9GE/FtVFHl2utmcwdhiDNX06vaw4MphjjzhrZ4ilYpE/xeq4idq6cbVbz5z5JpudAqZYJ92uoOIKVDzKdFwAf1h8K4sTQLm/fXoKw4A1IJ8MfpoyCRAKmdjC2pBlWMDWevn7WrKYPIL+xsfiWqfJw2lSIybtYX4/tgprMxJx5GdfvYl25U4Y4pFlg9AVQ0uri5f0e7pJJL4saMWT8gXlzH5YsIQdq8AV6/fHx2Udw+2Vl/OVbvwPxLsmFUSzFvYjYqG4UFtd3+ELLN6rhtTq2QoTjDgAk5prjnE4oZZJvVyE+N+DsAsO9UE9RyKb481RwzDtM0g10nGnCo1s7FVh68ZgTq7T68/EW7gLpKLkF6nLYtodDp3PF8+mQ8Mau8Nj+OjTNNL0yLKatVCNtznUoa19YNxP7Z0zUQAoFAGOyI8c8JBMLA5UKsm5wPA7VeBAJBPOlGVUwsfelV+UgncyVCH0LGD0J/QdoegTC4ibeG2XHN70JDbAuBMPhxeIPQK+UwqmWgaQYJahn0Sjmc3v4V2iP2hUAg9AXEthAIg5++3Az+fEnSCc/XkrSD5x1JAuGnjtA71N3Jb+8riO9CIAxuBup7u8S2EAiDmzq7Dx8ebtM08YegUcrwwt5TuCgrATlJ558v2UMdLUI84iW4nrG6RZUvSDfgkesKoZJHHhErvlGQbhRVPhCmuZei2POv/eQkAgI7yAvCMFxCFFv+mZ0V4GVbd0JaW7LjS59XYf2uSrz4WRXmX5ItWmzCqJZi9Uz+9a+eWQijRpwIkkElxd9uLMH6X16Ex2cVYf3NF+FvN5bAoBZXPq1tgTaa7ohlaBVSrLi2gFf/FdcWQCeQGCqEUhZJCo8uv2RaHpQycV02TINLqAciz2/FtnKEu7FBpEEtg0LWHnih2pL3xb6AHwjRqLZ6sWF3JdbvqsSG3ZWotnoRDIlrg+kGteA9GNJFgvBgxRMIc89r64FaLJ7afu1sAls0bHsU+lwho/DknGJcU5SO+98+iAe2Hsa9bx/EiXoX0o0qwTIJajlWzSiIe67SbBMWT8vFXVNzsWRaLh6bVYR/7q7EH6ePjOmnZ20eXv3Z9r/1QDWMajm2Hzwb8/19V4/E0XMOPPzeESx4dT8Wv/EdTja4cMvPcqCSs0Ju7b9fOaMAOqVUsK4GpQyrOvx+1YwCaBQUhpo0MbaNFWhw+kJ4fm/EZj23twpOX4hToYw+1tKr8vHYB8egUUhx0/gszs699HkVbhqfhaPn7Gh2BzkRLPY8D2w9hGBY2La6/CGevbxrai6uHp0EvUIOrUoGqq1dPLe3Cp5gGEa1jKuPXCrhxputB2px95X5Mf1meLIWOqUU9149ghM1k1LAvVePQJZJA4A/bnVsg2yS/o5DZ/HIdYXYcegsth6oxdKr8mPuTTyFTpkUWFY2OqZuUklEpOrx2cUx51v2/uG44yYrmvSLdZ/hly98hV+s+wwfldeDpoXHKVY05YPFk/Hmoovx6m0TsPHL9oRX9nk0Otv/FhrLH37vCNbddBHeXHQxPlg8uddEmgY6PR0XxdBT36krRqVpsWpGYQfbUIhRaT9+ITMCoT9hhQij+15viAhKJBQsyTpMyDHjaJ0T//N3ceNBNOxYsvN4I17+/HSMv7F4ah7e+baW+ztBrUBRppF3PSE6LOj3v3vgB8yb2D4fuvetg2j1hqCSUQjTNO64LBfeYBgrtpXDpFHgzitycftkC3zBMPyhMOpavbAka2P8kLuvzMeOQ2exoqwAOw6d5T5fMi1SV9ZPavVERLtyk7X4565TePnz03h8dhHfn7u+CEdq7ZwIFtDuG82/JBuj0w0oGGKATBJ5UTUMCve+fRAPvHMY9751EGFQSNErYXX5uTqyvsgNpZk8kVdfkEZFoytmjvrMzgrkmLWod3gF7/+OQ2cxNFEtOAZpFbKYz0zadlEgpy+Is61+nKh34gebFycbnDjb6ofdFxT0c/yhMFRyCR6fXYysRC0syTpMtCTBkqwTJYIlxi9pcAjvnhDtfxD6BqcviC37ayGRUKAowOkP4YXPT3O+vycYhkGk8HdHxNo5rUIW0y/W7aqAWaeEVtV5rCDDpMQTHfrwE7OLoZSh0/NG100po1Br8wj68Dple3/SKqS447Jc3vzkjstyoWkTpWZoRvB7oXBRmAZv/rNlfy0nhhMN+0J8R+HrjARNzG9ZQeIbSyNzsXU7K3H3lu/h8IY6jVfkmLUoyjTG2FXW1qy4tgAqkTGXgYDQXLWrHRNomkFVkwtfnmqGUS0VnGenJYjz7/tqfB+sxBtznL5g3DL+UJgbj1jR7uiYBGuXOt7jgnRDzL1fcW27XxAvrpOoVSDbrEaWSYMwzeDJOSX44zUj4saJTBp5zPyJ7S+Lp+bhrf21eGZnBbwBBut2VYBmIuJUd14RsVN3Tc1FtlmN4/VO3HFZLhIE2tyKawuw51g9fnlxNpa9fyRmfF41o4CLP0S392yzGndenov73z7I2aG547Ox+M3vBMfhmhY3KhpcvPt7ttUHS4oONk+AO9/qmYUoSDPgseuLYvrWsCStoI1g+1VNixtP3zgG2WY1r1xnfZIVs+p47ymAizM9MH2UYL9KNSjjxk2FbN1A7Z8F6QbBNQCxayAEAoEw2EnQyAXXMhI05zc3IRAIF5Z46yb9nfB9IdZzCARC3xIMM4LvewXD4t7XIhDOBzJ+EPqLgepTEQgEcbCxjI6xDbWif9fcyLhGIAx+hiSoML0oHb/ZdAB/2Pw9Fm06gOlF6aLXs/sKYl8IBEJfQGwLgTC46W5e04VCr5QK5iXru3hXlUAgDBzSB6iPQHwXAmFwMyJZJ5hfOyJZ36/1IraFQBjcpBtVKCsZEtE0eecw7nv7IMpKhiDN0DORPbKlbB8RL8G1weGDJblr5TKZTILrSjKQl6JDvd2HNKMKBelGyEQm5bn9IcHzu/3idsJocPqF6+/yiyofDDF485saLJxkAdWWM/zmNzWYkJMoqnyrJ4RQOIxFUyygGUBCAaFwGK0ecfUPhxk4fGEuqVsll2DVzEKERb4YJpNEkrFWbi/nyq+4tgByibj7X+/wQwoGa+aUwB0IQauQweMPosHlR5GI8o1OHzZ+Wc3dP4YBNn5ZjdwUcap3zXHUL60e8eqXYTqMO6bkYuWOqHtQVoAwI07ISteWrNdRGVSjFGd2ss1a5KXqeG0gL1WH7G4kbQ1EVfV4pBpU3P2qs/uwaV81Fk2xoCjDiCStAkMTNXj4vfb2vHpmIZSyiBjC05+27wR695X5OFLrwIg0Pe57+1DMy5H//PXYmLa9akYBGhweGNUK+IJhLCsbzYk4qeQSPDGnGKea3Hh+bxX32b1Xj4DVHQAF8J6RNxCCUibBruP1eHruGLgDIahkUjz58XHcc/VI/GNPBe6Ykotn91Zi4SQLpBJgzNCEiEjT2wdjhBEWTbEgQS1HIETzzqOQSeAOBLF6ZiGWvc+/L0Gawf4zzXhu3ji0eoJI0Mjx+r7TyEwcDmWHNsmei2EgKFD1wvxSTM5NQnGmES5fGOkJSjQ6/bB5Aqi3+6CRS3n10iqk+Od/qzB7XKbgeU5bPYKff1Nt4537+b2n8Pup+fj1v77mrm3x1Dxs2leNZ3ZW4Ll547hExmgRtTq7D698cQZ3XZGL4ck6qBVSKGUUmhw+tHj8qLV5ec9xybQ81LZ6kJOk441bbBtcOMmCogwD0o0qBMM0phemIcukwdgsE85YXbB5grzrV0olaHb5YxQ6aZrBgepWPL/3FPfcR6YZ8OyeSk7Rc0iCimfzNu2LiFQ1OoXHzXiiSSMXT447zrKiKZZkHaqaXFzCK0vkZbp2xyreWO4NhjHRkiR4jh8rWoUUq2YWxoyrWpECj2LoTBxEjO/UFXq1CtcUJiMnaQIaHH6kGpQYlaaFXt17itWDadwhEC4UrBDhyMWT0ej0IUXfu33jfMaDjmVvn2zBl6dbAADPzRsHly8EtUKKldvLUWf3cYG9nGQ1MowRX5S9niEJKngCNOf3G1RyMGBQNDQhRvCG9S0oACu3l+P2yRaYNArMm5jN/VYll2BZ2WgkaRUw6WQYatLg+Xnj4A6EYVDJYPcEccO4oXjj62qUFWcgO1ENa5vC/exxmWAY4B97KnH/z0ciUauETEJh2qhUBMM0ml2BGH8uRNOCtjfTpIbDG8AZawgZCWok6RSc/8j+ZuX2crx863iMTNfjidnFeOqTE7hh3FAMSVBBJon1uWgGgucqr3Ng+8GzWHHtaDw/bxzs3iCSdErYPQHcND4L/lA41n+dWQi5jOL8Z5Vcgof/ZxTMUTsVJWoVmH9JNufjsb5PglqGzftreH7H5v01ePT6IiycZEFGgqrb7VNsO4z2+Vk6+h+EviFZr8Q1Rencc4r2r+vsPjyzswIF88ad17HF2rkml3CcpdHhhz9IY3R6/HPYXCG0uIO8PvzH6SNhSdbig07OK5FQuHpUKjYvmgiHLwCJRAVPgB9rSdEr4Q60i/XYPEE8+99KXjzn2f9W4i/XRaIZrkBI0B68dEtpTL0bnXz/rs7ug0zKYOWMAk68mxVgkkkZeAP8+2PSyvDnawvw56j+H6IZlBVnxNjYZe8fwau3TcDwlPjPaeqIVOQm61AwxICjdU6MStej1RPAPVePxIt7T+E3lw1H8VBT/AcxgKizC8eN4u2YwL5ww/aBbLMaf26zuzZPECaNHGGGRppOnPh4X4/vvcWF8s+T9UrBMSe5k2StdKMKK7aVY+EkC0ak6vG7f38b4zcUzBsn2MfZe19tdeO7H1rxxlcRv4Ci2sX5O8Z9QnQYd1yWi6VvHeTZwdf2nRbsky/urYJcBrx863gcqLahKNOIY3UOlBVncLYTAIJtvsTeE42CccQ3vq7GyUYXtt85CUMSlFybS9QooFRQyDZnYcEr38AXpPHRkcguIL5ACNlmLTyBAFbPLITdG4RJo8CSaXlwB8IYmarHkx8f59mpDbsrUFacgQ27K2PG4QaHXzDm89QNJdwxJBRQmm3COacPKrkU916dj1SDGlqFFEGawYZdFTE2omO/Yv04py8Ipy/caZ8E2sWsOrabnCQN3lx0caf9Kisxftw026xFbrIOY7NM8ARCyErUYljSwOufLAa1jBdDl8sGZj0JhL7kkilXoK6+sdPfpKel4Mu9uy9QjQgXinCYhlwm4dlzuUyCsNhNjQgEQr8SYsJYNaMAy7fxfW8a3diZqg+4EOs5BAKhbzljdQvGEautbuSl9u8LyIQfL2T8IPQXcimDVTMKsXxbVNubUQiFjIj/EQiDAZcvjA17KnnrVRv2VOLJ2SX9Wi8yrhEIgx9fkMY/9vDfW/jHnkqsmUPsC4FA+PFBbAuBMLjpyXvsfYk7EIZUQvHWoqUSCp5A/65jEQgE8chlEsH1aEU/b/pLfBcCYXBzosmJLfur8cScEngDIagVMmz8ogoj0nQo6cc8CmJbCITBTSjOhm9TR8RJ8BIJEcLqIzRtO7rHiAB1w+jKZBKUDDWhZGj3z29Qy5FtVnNJUACw/eBZGFTidhFO1isF65+sE6ee2OIJ4MbSLF5C9+KpeWgRKcQUCDNYueNYzPlfmB+bWCmEJ0BzAx4Q6TDL3z+CjbdNEFW+xubFx0fqeEI6r3x+GjqlDCVZXQ/mRrUcj/zvUe7+Mwyw49BZ0Qu8RrUCNk8AG3ZXcp+p5BIY1eKen1Yep/3JxXd5hVSGlTv4SXgrd5Rj4wJx97DV48fiqXkxbcDuFdcG2CRVS5LuvJIqaZrBrhMNOFRrB80AUgooyjRi6ojUAZn4lWPWYu3cMVwAzOYJYGSaAdNGRupblJEQI4xXY/Pg31/zE1///XU1Zo7JgNMnLIbX5PBDJQM2LpiABocPZp0Sb39Tg3e+r4NKLsHCSRa8820tJ1Y00WKGxx/C/R8d57WFNR+fwBNzSnB/lHgVEGlni6ZYsOBnFjQ6fLB6ApBJJKi2euH1h3CxJRm7T9Rh1cxC2NxBJGrleG3faVw3ZqhgfWkmYk//8kGsPfjnr8ehrCANw5K0ONvqxakmF9Z+chIKGYU7puTiN5sO8Nqe2x+CJUkn2DeixaSiz+/2hzA5L5n3OU0z2LxoIlrcAfzri9NcP89L0ePRD45xyaBC52HVuDt+3jGvpaw4Aw+/d5h3z9ftqsDCSZZIUmeAxgeLJyPHrMUZq5t3zDq7D28d+AGPzy5Bo8OHZL0Sn1c24fqxWYKJn2OzTMhK1CIUZmKO89LnVfhAIABrSdbB6Qvid69/F3MtmxdNREfOWN146N3I9bB2jW0rrPCDWavES59XiRaG6KloUsc+xwqL5USJ7cUTq0jWqVDV5PpJiR05fGF8evRcjMBcdmJur53jQoiDqOUKKGVeyKUUlDIp1HJFrx17sI07BEJfEE9sIlqIUGwZsTQ4fDBpFJg1NpOb92w9UCtqPGDHkq0Hajm/dffJZmSb1XjmxjF4fHYJmpw+GNURf0WnkiHDqI0RVnz0g2OcP6CS+f8/e2ceX0V1/v/PzN333NysJCQhJGFJQljCogVUooj9RkAWsQtu+KX2pw0Vt9aKyKJ1K1YqrVJX0FZUWhdqrQpY9OsaUPYlIZCwZF/uPneb+f1xcyd3MnOTgWwEz/v16qtyc2fm3DPnPOc5zznP5yDJpMaoVHNM30Kt6LB1C4vTRWIua7YdwvOLJ6DOHsB9b5eL7OKSqdnYd8aBRpcfD/x4FNytXv53A8C88elwMUGctXsRr1fjpS9OYNXsAtz+2m6RP/fkgiJJ26ukacTpNTjdxiDeoEJzLKFdtx+lY4YgGGTBAbh/a1iIdVlJjui+CkraPxqRbMKImSOx6v1DqG72in7rL1/7Dg/+eKQg0LqvpgljhtoEC7RmrQqpUWOGNxCS9H023ToJv5qRi1MtHrxZfhqtHj+WX5WHY3VOvPh5FeaPT+uy3Ugh1y+R438Q+obI+4/pXwfYHi3wd2XnIlj1ask4jUpBQ6PqelGyzRvAY53mZI99eAQv3FiMgrS4mM9lWQ4fHa7n29yWpZOx7I3vRf3w5Zsn8v/2BUP46aRMkeCyPxSuH19AWkDPHxQn60vFxtwMh7fKa0SLJ8tKRsDtF4qvn21j8J9OsRmVgoKClhbW8/i7Fk+naQrpcXrU2hn88ZNjonqIN/Seb9jXJJu1knGjWL5z5w03pWPS8MsY8zm5i1hy2v1A0p/+uZSNeWZ7BSZ0EUP0+ln8bHIm1n18DBnX5sdo0yHJOo7Ufb2Dwfrt4Taw74yD//v6n4zF84snoMnpR7pVhyf/cxj3Xj1KJHK3pbwGpWPS8FZ5DTbdMgl1DgYJJg3++t/j2HmsCQAwf0IGnvroGO6ckYP3955B6Zg0zJ+QDiBswxKM4TjHtLwkXgQrUv5V2w7yfsvpNg8uy0vCyWY31MpwnE9BA/vPOMAEWKRatJhVkMrHmSLC7DXNLmTaDPj2ZAveLD+NWjuD31wzQjLuHH1+QfQ47PbHPjBiw85KfjzOtBnw9YlmGLVKPPWR2EbYjEIbIbWRbc22Q/zY0t18NpaY1ehUS7dttLu4aVaCMaYA14XEwVq75Lh0LraIQLgYqK1rwJR7XujyO189dVs/lYbQn3gCLP74yTF+jsBywB8/OYbH5o0Z6KIRCAQZUJwCb0rMb++9etSAlqs/1nMIBELfolMpJGPpWhXZ5EvoO8j4QRgofAEKnxwWt70sG2l7BMJgoNHlQ3WzV7BeFfl8ICHjGoEw+GnxBCTXA1s9ge4v7kOIfSEQCH0BsS0EwuCmrw+DP18CIY6sRRMIgxyHNyi5Hv3rK0cMbLmI70IgDGpq7QzKq+0or/5O8HmdnTkvLZPegtgWAmFwU9PikZwXnWr1IKcHB74RIawu6ElStj8UkhQBCpzDKb4ME8T+WjvqHD6kmDUoTLVAq5X3ytQK4I7Lc0WnZWlkvnG9WoEn5o9BZaOLTxYbnmiEQSNvY5VFpxIldK/fUSFbiMoVQ8TH7es6qTFCg8snLQIkc4E1LU6LSdk2gZDOspJcpMXJE+PgOBaPzSsAQKPR6UOiSYOpOVZwkPf+mUAQv7+uECea3Xz9Z9kM8AXl/X6TVoEnFxTColOjpV1syO71wyjz/QFAvTNGHTrl1aGSprHjSB0/2dKrlXj1iyqMSbfILkNPkiprWtyoqHdh464qwTvMSbywEsGi7czoVBP+9atpaHTFFv4Kn3fXntRmM+D+WaMEifR3XZkHrZJGvKFDDE+jpDEswYDaNg+GxOlwttWDG1/6hr9mRelo5KWa8cG+WoxMMfEJjW+Vh8UUMuL1km3BGyORMM2iQ5DjMDLVhCDLweENYuW1ozDUpoNeo0B2gkHQt1bPzofVoBJt5sy06TAy2YRWj7Twwnc1rQCA72pa+fcMAHdckYPndomTO5+cX4RhCWLxgT8sHAubQS25mTRer5YcCzz+EEABv71mJIIhwO0LwqJTIi1Og1o7IxDU6DwGrJlTgBVRyrSPXleIZ7YfE/y+WIndVLuAhNWg5PtFZ0GFTJsOd16Ri5tf7njHa+cWgKY7EtZTLVpeMCTEsahpcePBd/eLyvz4/DHIsOolRZ9iiYdJCQhEgrvRzwWAgjQLL/yQZTPg2Z+OEyUpxxKG6Eo0Sc74TdMUZuWnYGTZNDQ4GaSYtQixwNcnmvlrYolVnGh24c6/fSf4bFZ+yoCLHQWDLA7W2lFrZ5Bq0SE/1QxlLym9t3kDGDvUJhKYs3t7b2NBX4uDBIMs/n2wFhUNYd/mcK0DNS1uXJOf2iv1VN0sPe4MTzBi2AUqDkAg9CYsy+HDg3WiPtyVfZS65g8LxyLTpsPpVq8sW5Zq0eLGSzLxzPYKWPVqLCxOx90z86BXK8GyXMxnB4MsVAoaj88vhEWngi8YxNPXj4VFp0SA5fB5ZTMybQbUtnmhpGnU2f2SJ/Q0u30oHZMGk1aBtDg9TjS50ejyY1gM8U2rXg2dWoFMmw4GtQLpVl1sQRmOw23TsrF192leaDPiD4xJM2PRpAzcGyUW8ch1hTCoFDhc58Aft1eg1ePHspJc3DAxI6ZI6okmN9bOKcCDUb5J2YxcPPbhYayZU4BpuQlodPqRFEMoOdmkwckmFxocPl4ECwDeLD+NB/9nFBqcPn5cHz3EjEeuK8Tv2sUxizMtWFYyArUOBnq1AnfPzENNsxdMu5jO1t2nQVHhcpp1alQ2OMFygFmjwJX5aaisd2JKtg1NTh/i9GGxsiFxOhRnxQMIL/5I/eaTTW7UOXzITTZhRekoUBSFv+ysxJJpw/hx51xjAXLFHDv7H+cq9nu+9FRwrq/oS9+lM00xYgSa9udpVTQSjH0rgmTSKnHnFbmCucCaOQUwaRVQKsTvI/q9eWLMvboT7+os0uKIYQtcTEeswaJT8SJYkb8//ckxvLYkHM/JtBkkBb0y4sV9h+VY/HbWSDR7/LwtcPmCkosnbn8QKWZhn0m1aHHDpHSoFTQoAGoFDZ2Kwpg0i2SfG2rVd1kfwSCL7UfrYdYq8cT8MaBpCqdbPfD6Q8hKMCBO179h0p70zSybAc8vHg+nNwS3LwiDVgmTVhHTd+684SZiX6NhAizqHQObmNCbdOef96YNimVjmtyx6/NMmxdfVjbh+cUT4PaFsKwkhxd6AuTZpVjjT7PTh5pmDzJt4T7xv9OHgwkEY4pHlVfb0eDygaIAuj3yFLmXWatEpk2HZKMGy68agapGFy8kuWZOAVQKDvfMHAEHE+gyjmFQKwVxPpbl8O3JFihpCr+ZNQLDEo04eNbO+z4AcKbVi7d2n0LpmDSkmtVYd30RzrR5kRanwy2vfCuKOz8RdQJ09DicGW+QrKdhCQb8+WfjkGjUQK9W4OsTzYjTK2H3BLDy2nysev8g719mJxihVylxssmFWnu4z3buV5GYR26SEc/+dFyXfRKQFrPKsOq7tQudbcekLNs5HRxwIfkEsTYDXky2iEAgELrC5ZMen10y10IJBMLA0uz2Sc5vm7uYB/QH/bGeQyAQ+hYFDSwryeVFtyMxDcXAHvBNuMgh4wdhoGiN0fbaSNsjEAYFkcMyOsffE2QeuNxXxBrXiG0hEAYPVn3P8lD6CuI3EwiEvoDYFgJhcNMfh8GfD84Ya9FOshZNIAwaPH7p/dY9Ofi5NyC+C4EwuEm16CR9lxTLwPouxLYQCIMbrZqWtC2aHuYIEiGsGJxPInc08XoNtpTX8EIsHBcWYrk6P0XW8xkmiG0Ha/HgOx0JkmvnFqA0P1WWGFaQpXgRLCC8APDQewfw2pLJsp4fYjnUORhBstjyq/L4BKrucHilk58cjLxBJ8USI9HaLG+BNFaidqLMBVaVEvymskjZn9legbdul1d/mfEq7KpwioTIpufKU63Tq5U44nKJ6n9ovE7W9RYdjWP1HO59e7fg+XF6+QYjxRw72V0OJq0S8ydk4L6o5PyV1+bDLFPMrafUOXyS73B8hvWCEcKSa2eCQRbv7D0jsgdzi9IwKz8FI341DYfrHDhW78QrX5yEWknhiQUF+H+X52DlewcFjt/v3tmPGyZmwKpXo9YeTjZbs+0Qll+Zi59MzhSIKSwryQUAnGrxSLaFOJ20eFSLx49N26t5UYro+6kUFJ766Fgn23QQr982GatnF2DDpxUoHZMGnYrG6FQzVm07iPtnjZR8TogNi2CxnDCB16RVSAbs/KGQSHwg0ajFiWYX4vQKrJ5dIOqzVoOCf0eR5Me8JBOGxuuhV1E46vDhoag6Xj07H0ANyqvt2FJeg42LixFiWXx3qg2bv6rGcz8fB6cviKXTs8FyAE0BShpY8T+jceffO4SVRqWYJX8zTQFr5hQI+lHn36Skafz8xa8FdfzgOwfwt9sm8wIci6dk8vXzwmdhMS6LVoXNX1ULxq0hcVp8dLhe1EZnjkqGXq2MYafFk55ksxaZNp3ovTw+X3iagD/ICezeuuvHxuw/sUSTMqx62eN3JAk3y2aIec3MUcnYsnQKnxwdp1fi6j9+JqhfKWGU/qYrO9EbghIxNxbc2nsbC/paHORInQOnW72iRPgjdQ4UpMf1+P5n7V7JcWdMuoUIYRF+EHQWW5FjH6Wuufut77F0ejbWb6+UtGUikRWW40Wwose3ruy/lM1cVpKLf+8/iWsKUwX+S0QUaun04Xh2RyUanAyybAa+DP4gi6+rGjFjZIrAj/rDwiKsnp0v8BNWzc4HEwjixc8redHivy4ulhxPLVoVWj0BjEwx4a6SHDy9vRK1diYsSKFR4PbLc0R197t/7seSqdl48fMqlM3IxeavqvHM9go8uaAIOpV0QEGloBCnVwnG/81fVaPWzsDtD2FpexDxth8NFf2e1bMLkGpV4P3v6+ANCAUyE41qGDVKNESJ6PqCLKxaGkunZ2PyMCtOtzL4383lgvr59Gg9yqvtAl9Uq6Jh0CixcVcVrHo1brwkE/dv3YtFxRm4tV0EI3K9P9SxQJtgkvZVT7d5+fZVNiMXW8prcMPEDAy16jF2qBUAzjkWcC5ijj0R+z0fehrb6Cv62nfpTKpFerPBqBQTMm063HF5LhJN8oWjzwdfIMSLYAHhfrvi3QN4/bZJoDixyEn0e3vppgnSwr0GVZfPjBYYSbVoYdQoJO9jM3bcp9UtHc9pdYfjOUPjdLjjilw8FCXotXpOAdLMWlFb++OisQhyQh//b/87WboMBjXM2s7+OmBnWCzb8q2gnYxINgiE9SI2o7smXdHoQIs7gGVvdJSxbEYu3vn+DO64PIcX9uoPWJbDjqP1IiHgGSOSZfXNYJBFvcMveg/BIAu1WtyWY224kXoPFwtd+edDrfpetUGxbExncbdo0q06zCxIFYnwb/qyGq0eP1bPLujWLkmNP08tLAITCOHx/xwVtPO8ZKPknO6JBUXQqmgcq3dCp1Kg1e3HrMJUqJTAuAwbTBoVll+Vh+ONbtS7fFBQwO3Ts/HcriqsePcAXrt1EmxGNVJi1AFNgY/JRJAam5aV5OKtdoGtshm5oCjgjW9rsKg4AzuO1GH++Axe/OqemXmSdqqm2c0/N3oczozXY+3cAsH7fvjafNzz9l5UN3sFdb96dj7WfnAId1w2HOtvGIc2j1/g/0S/o2g/LtWixV0lOdBrVHD7glAqlGACbJfCrABE4mDdjdk9Gdd7anf6AptBOv58MdkiAoFA6IqYhwr1YsyVQCD0HeczD+gP+mM9h0Ag9C0mrQppVp1gT0GaVQeTtutYIIHQE8j4QRgoSNsjEAY3Bg0k9hHkw6AZ2EOZiG0hEAY/zhiH8Dh9A5v8SOwLgUDoC4htIRAGNxlW8b6ktXMLkNHNoZ59jTXGWvRmYlsIhEGDSSudt2nU9O1+9+4gvguBMLgZlWzC6jkFohyEUcnmAS0XsS0EwuBGp1RIHvimU/XMbyHnxcUgViL3yfaEmu5Q0MANEzPw4udVeHZHJV78vAo3TMyQfULfwToHPwmOPP/Bdw7gYJ1D1vWNTh+sejXuuCIHd84I/8+qV6PRJe8EUgcTxLqPhWI16z4+BgcjT/nZ2O5oR6NV0TDKFEHiOGD5VXn8PSJCUBwn63L4Q0GsLM0XXL+yNB8BVp7ibW2bX3IBpa7NL+v6mtYQNnxagSVTs3HnjBzcNi0bGz6tQE2rvOdH6rtz/XcuUywanSFJIbRGp3zFXyVNS74DpcxG7PQFser9g4IyrHr/YL+ph8cSY7uQFEDl2pmDtXZpe1BrBwBQFJBs1qBkZBJWXjsapWPSQEHBi2BFrlm/Iywy9cz2Cswbn87fnwmwSI3T47n/Vgra7Bvf1iDEcniz/DRWXtupP12bjySzGstKcgWfRwQL5o1Pl0w4TTbrJN9Lk9OPN8ursXT6cLz4eRWe+ugY/t/f9mBRcQZoACtKRwueUzYjF9v2nUGo/VbR9iYtTi/p9KqV4QEzkmQ4JTsBFAXc+bfv0OoO4ZPDZ/H84gn446Kx2Lh4Aj45fBat7hAvgrV4SiY27qrCnX//Dos2fgmXn8OGTys79fNK3Hf1KLyxdDJevnkSpuYk4LK8JGTZDGj1+MEEONy/dT/Wb6/EszsqsX57Je7buh9mrQrrrh+LspKcdgGL46I6X1E6GjqVAs/urIDdK+zL0b+pxe2TrOOzbQye/ek4LCxOF9XPA//cj19engMA2LCzkh+31Apa1EYf//Aw/nWgFmVv7EHZjPD7T7VoUVaSg6cWFIHjwsmV0WTZDFgzp1D03Pu37uPb+7mOuxHRpA/KpuGNpZPxr19Nw+hUE3ZVNuJonQNWvVrWfbp69okmNz46XI9FG7/C7a/twaKNX2J3dRt/7+j6bXAyMe/fH3RnJ3pKTIHLXrap0W05O9HYq8m4LR6/pF1q8cgb27vDyQQl68jFDKzaPoHQX0SLrUTozj7GuiYyjHS2ZZHk/Xe+P4P/O96Md78/g6omN5gAi3njxeNbLPsvZTOf2V6B26YP5+1EqkWLJVOzwQRDuGfmSGzcdRwLi9OR0i708uP1n+Enf/0av3htN26dOpwXQY74BE/85wiGWHXYuHgCnlo4Bk8tKALFcWjzBFBaNJSfK/hDIUk/5/tTrbjv7X245629CIHCLy/LhlZF43c/HoVRqZaYG74oqsP3mTc+HUyAhccXBMtB5LetKB2NoqEWVDa4+Hnrhp0dglsn2+sWAKaNSBH4PUumhuc3Z1tD8AZCyE0yCfyxO2bkotYeFlZ+dkclnt9VhTOtXtiMOuQmmUBTtMhXXfneQdx4abbgnQyzGfDE/EL85dMK/j0/sz3s03Z+3yvfOwgl3REgUStoSV/1rfLT/DXR/rE3EBZNPZ9YQGe/5IOyaQMuNBWhp7GNvqKvfZfOcBJ9YFlJLk40uXD3zJHY8GkF6h19O2Y3uaXjDM2uADwB4Ty583vjIF1+VTfz84j4EQB+DvjANSNRVhKOEy0rycED14wEooS4zDqVZDzHrAsn2h2ud2DDzk7xjp0VOFDnELW1Q7UOPNkuxhP5jGU5kd1bVpKLEMuh0SV8B/V2H7/IErn+jW+qcaLJiwYHg1XX5uPZn47DxsUT8E1VM443dd2u2zziOEXEDjz03kE0uvovXlDT4sbZVq/gs7OtXtS0yOub+87aRXXz0LsHsO+sdB+KCCZF6v39vWdEcbOyGbnwBi6eE9+cTFAyNupiQr1ug2LZmK7imN5ASNQen9legQd+PIofZ7uzSzRNIX+ICU9HxRNOtXhEv239jgoEWU7SBtU0u3HXlXl4q/w0ntlegeFJRvz500rcNjUHm76shjcYwtk24ZjuCYRw4yWZsOrV8AZZnGn1gqaAJxaMwbKSHF4QYPWcAlw63IYt5TXQqTpiwlJjU+S33zYtG1vKa5Bu1fPj/Y2XZmPVtqi6CrKSdmpaboLkOFzT6sGf2kW/ykpy8MSCIvzlv5WobvYKnj9vfDqYIIvqZi+e3l4JJsjyyTui7wVYPPjuft6e/fKybIRA4Z639+L+f+zHPW/tRYs7gIpGebH8WPXSeczuybjeU7vTF3j8QT62BFyctohAIBC6wu6JsY7luXDWsQgEQhdw0nPsgY4G9dd6DoFA6DsCQRZtbuH6ZZvbj0BQ3n4hAuF8IOMHYaAgbY9AGNx4/JDYR1AJj1/mRu8+gtgWAmHwY9HG2LcwwALBxL4QCIS+gNgWAmFwE9mXFD0v+tOOCtS0ega0XG0xbEsbsS0EwqBB0y4o0XlfqlY5sEJYxHchEAY3p+1evPltNZ5YUITH5xfiiQVFePPbapy2e7u/uA8htoVAGNzYGT/0KgWWTg/Pi5ZOz4ZepYCd6VkflqdK9AOkq0Tu7ERjt9fX2hls+rIaS6Zmg6LCCVGbvqzGuIw4ZCV0f32jS1rIRK6QlVWvwo2XZIqU06w6eQsArphiDvKSUAKhEFaW5vNJSrwQVUheYmmT2w+NghaccKhR0Gh2yxOrYFkKW/fU4IkFRfD6g9Cpldj0RRV+VZIn6/pYirkGmUJerZ4AFhVn8MnZkSSeVpmb12OJacgVkap3Srefeqe89hO5h9Q7kHsPh1f6N8gVU+spRq1C+h0OsOpxNHLtTK1d+nu1dgZn2ur4BDitisYrN0+EggbqHdJtICKOQEXtwtaqaLAsK9lmaRpQKymolZSgLfgDITS5/JJ2bv6EdP45nZ9vUEu/F62axuTsRKzZdkiUrPn84gn45+dVWHf9WBypcyDEAlvKa1BWkof124/BH+RQNiOXL3t1s1vy2S0S9iPyDtyBIK4YkYpfbN4tsFnuQDCmuEaTi5GsszYmgJmjUwTPGZ8Rh6XTs9HQRd989IPDmDc+HRnxOgCJ+PvX1Xh+8QR8e7IVHAc8uyMsTAEADV30Q1P7AnDnOgaAYTYjaIqSLMPhOkdYJGt7JbQqGuuuHwt/iBV9t3RMGu7fug9MgMXmr6qxrCQXZp2Kf3eRa6OTTmmagkoh/dzqZjfqHQxoioJVr+Z/Y+TvXY27EdGkLJsBHx4U9oWyGbnY/FU133+6uk+svljTIk4wfeCf+7F0ejbWb68U1G+SaWBP+I5lJ+rsDIqG9vz+eo1039WrLxyb2h3eQEiyjhh/72waHxKnk6yjVIumV+5PuPhhWQ4n221islmLLJvhghDRAeSVLSK20rkPdGUfY10TLRoRbctqWtyoqHdh464q3t4/VDoamTZdTN9Dyv7Hsplef3jcT7VosXhKpmiMz040IMRCNDacbnFL+gQHztjxx08qsKJ0NBqdPrzxbQ1WzymAxxfCouIMbCmvQZZNj427jmPJ1GwoaGBkihkvfX4ck7MT+fuvev8gXrppIpZfmQuPP4T/3VyO26Zld1l3EX9Pq6LR4vFDpaRFftuzOyrx65JcvPplNe66Mg9Pf3KML//auQX4w0fHAACpFi3sngCqm73YsLNSUG/1Dh827qqCVa/GitLRvD+goilJ8cERKSbc+/ZerLo2P+Y7iP73oToHjBolSkaloLzaLvBlJX0qR4ePVO8QzsnHD43D7945IPI1IveKzFPONxYQ8UvkxAv6k57GNvqKvvZdOnM2Roxm/oR0OOqdqG72CtpPX6BTSftTaiWNtDjh6V+d31uLOyBZ/uHdvMOI+NHyN78HRYXn6d4AK7Cjd12Zh+YoYVCO4ySV+DmEDUyrxyc9D/KKhb5YTthXUy1anGz2iOzec59WItNmEAnqSsU2/nd6DqoaXaLy/WRyJrTdnBbQEkOMLGIHXP0k3A0AzS4/3P6Q4F0sK8lFs8uPrITur6+L0bfrHUIByugxfHSqCf/61TQ0uhjQoPDEfw4L2tSW8hpMyCzqzZ85oAyN10nGRtOtWpxq9faqDYplY9KtekyIcU2TU7o9Hq138uOtHLtUZ/fhrijf5M4ZOZL3jWWDsmwGNLfHm5kAi69PtGBRcQZavQG0evzw+kOSY/ozN4zDjZdk4n83lQtswTvfn8GdM3KQYdWh1u7FvlNtWFScAQfTYWdijU1H65144bMqlM3IBcexUNDt/oFPGGPcuvu0IA6kVdF49LpCFKbFSfrP9Q4G1c1eHKt34tkdlbhzRg4vghX9fIoCH7eqtTM4Vu+MaTMAoLrZCycTwJKp2chNNuGWV74V1NOq9w/i5ZsndvsOu6uX6DG7J+N6T+1OX6BWKnhB2YvVFhEIBEJXGAbBOhaBQIhNo8svOcdulLmfoa+4GNZzCIQfOk5fEI/++4ioH29cHCvKQCD0HDJ+EAYK0vYIhMFNvcMXcx/BQEJsC4Ew+PGzrOS+hSA7sALBxL4QCIS+gNgWAmFwE9mX1HleNNB7dA0xbIuB2BYCYdDQ4PRJ7kvNTjAMaLmI70IgDG6/WtpZAAEAAElEQVTqHQzKq+0or/5O8PlA+y7EthAIgxuNUomXvjiB0jFpoCggxAIvfXECj80b06P70t1/5YdJJCk7mnMRukg2a9Hq8WPDzko8u6MSG3ZWotXjl329vj3ppvPz5RptpUI68VgpM5k+0aSWfH6iUS3v+bQCz+0SnvTz3K5KKGl55Y/TqfD7D49g/fZw/a3fXonff3gEFpkneVh0KsyfkIH73t6L+7fux31v78X8CRmIkykEFuLCQl7RirkrS/PByVxAsepVItGc9TsqYNXLe77NKF3/Nr28+k82aySvTzbLF+Ow6qXfgdzfEKsMSab+EQQxa1VYflWe4B0uvyoPFpltoD+Qa2dSLTrJ7yUYNQIhBqtejX1n7Ni4qwpH652S13Bc+P8jpiCSqKhS0pJtNj1Oj4dnF+B3/zwg7o86laSdiwgwSD0/wHKSatQmjZJPcIyGCbBodPpQMioFj394GCEWUNDAb2aNQnaCPpyc6fFj81fVWDo9G08vKsKkYfHS/cegxvEGF7483oSqRhdYluPfgUGt5IX7Is9dte0gDOqwKJ6U2EKcXi1ZZ1J2Jj1Oj4x4fbd9U0ED4ACKAuxMADqVAi98VoUNOztEsLrry75gEGUzhHVcNiMXp9s8aHQxyLIZJMsQYoFxQ+PwxtLJ+KBsGmblp8BmEJc3+j3V2hm4fCGRgNnyN7/HyWa34LpY7f27U234yV+/xk0vf4MbL8lEqkUr+LvUuMmyHKoaw+/yeIMLh2rtOFLnwG3TspFq0fLvYt749C7v013Z9GqlZJvMSzYJ6nfd9WORZRvYQFIsO5Fi6R2BLu0FqiR/LgyJVUdxvTMujU4xY+3cAkEdrZ1bgNGpll65P+HihmU5fHiwDj9e/xl+8tev8eP1n+HDg3UiQZALuWwRsZVzsY9S1ywrycU/9pzmvxNty+odPtEcZ/W2Q3h4dgEUlLTvIWX/Y9lMffu4LyWAuX5HBWwGNVo8Pn6Oc+eMHKRatEiN00t+f0icHkyAxZpth+ANhHD7ZTl46N0DCLIc1u+oQOmYNKx49wC/ALp+eyWWv/k9bp06XFAHTIBFk8uH/DQLL1YVEYDoPN5Hrov4e6tn52PsUAtsRrWk36bXKNHq8eOVL07yv2vp9Gxk2wxo9fh5UbA4vfRJi8lmDZhAWKDVyQTw1IIilJXkwBcUi2kyARbfn2oDE2BhiXG/6JMbI/7Juo+PYahVL/g8+v87lydCikUn+M2H6xxo9fhF10T840Rj+NqexgIuNC7U39PXvov4eRrJPkC3Lwye63z5fDBrlZL+1LE6Bzqb+yST8L1pVQrJ8neXIE/TFGblp+CDsmmYlpuAOL2atyNAuF8+/ckxQazFwQT5hdNIPGfTl9VweMMiUQa1dLzDLHEia2fbPG98Oh58R2z3Lh+ZBJtBhaRO78BmEMdGYgntaVR0t/GKdKu+y3lycj/FKwCACUqLCzFBeQLyqTH6drK5ow91HsNnPfMZjtY7MSnLhiSzBiWjUvDi51V4dkclXvy8CjdMzOjzftCfaBQK6baiVPS6DYplY1K6qM9Y8YHomIqc9+H2i4XoJf0cjXhOVzYjF498cBi///AI5o1P58feSAxz3fVjYwoKS/XFiH+zZtshcAAUChqhdmEjm6Hjt8QamzguOoaqwehUc3vZlYLv19oZbCmvwaZbJvG+y/gMaRGszs/ryo/guLDw6rKSXGTadBgRNfeP/t6IZBPunJGDTJsOHn8IG3ZWotklLWwm91CHruoleszuybjeU7vTFySbNbhhYsZFbYsIBAKhK2LGXLsReCUQCBcGFp2q2zn2QHAxrOcQCD90mIB0fL3zZwRCb0LGD8JAQdoegTC4SemFfcp9AYm5EAiDn9j7FgZuXQsgvguBQOgbiG0hEAY3F+oeXTIvIhAGP8b2PA/x3nHlgJaL+C4EwuBm0PkuxLYQCIMCXzCIRcXCnIBFxRnw9TBPYWC9nguYLJsBz/50HPadtoPlwsl7hekW2UIXkaTuiEjNuQplGDVKyZMsjGp5r8zuDUhujHIwAVnXa5XAmjkFWPHuAf75a+YUQKuSJ6TlYoKSitYuJijr+maXL0bykNyTgjg8999KgeLtc/+txPobxsq6WqNQYuueCjyxoAhefxB6tRKvflGF+2eNknW9k5Guf6fM+tcoKKyanY+V7x3k63/V7HxolPLqn6JYrJ6dj4eirl89Ox8UJX9jnEcikY4JsPD65b3DglSLZBsq7CdBkJHJZpxocmPp9GywHEBTQKpFi5HJ5n55vhzk2on81LC4yoPvdNTl2rkFIuGoeePTse5joThCJEE5kuC4pbwGy6/Kg4qm8NSCMahp9WDzV9W45dIsyfetUdJweKWT+ZpcPtEzVpbm47ldlfAHOUkbtmFHBRZMSBe9FyYYRFF6HDJtOl7x0ahRgOPC/Tc3yYifTcqAwxce9BocDChw2PxVh7J1iAUMaiXs3oCoXHddmYeaVg8Wv/QNmACLTJsOD88uADgOL95UjEantM1pcvmw7vqxOFrngFYlVJQ9WuuUvMbuEffzmlYP/rSjAi/eOB6rZxfgofcORPXNAlj1Ctx4SaagvsLvmJX8voKOLYwSp1djS3mNwP5tKa/BnLFpSDJpkWUz4PH5Y3D/1n2itjF/fJpAuVeqjU7MjBfUhZRIGBNgRSrAUvdaVpKLTV9W89c8s70CS6dnY/32ypj9IZLM3fk+b5WfRqvHj7IZudj8VTVq7QwoqkOMKCNKQKMzsfpiJDG5s5Lw0Dgd/vyz8TBolEg2aZARb4iZcNtfxLIT+b1kc8+2MZJK8kPj9RjfK0/oe0almPHodYV44J/7+Tp69LpCjE7pnTpSKmnMLUpDbpIRdXYGKRYt8lMtUCqJ7iyhe042uwXilhFRwZFl0wZUUf1cyhYRWxlZNg0NToYfc6TsI8tyONnsRr2DwYhkEz5cNg11DgYJBg2ON7mwsDidn4PlJBl5WyYl9MAEWIDjcN24NGTYDPhdVB+PNf/KTzXjkbmF+N07+wVjyV93HceyktyYgg/+IIsmtx8vfl4lGENr27yS3z/Z5Ob/OzfJhKc+OoLqZi9ONLnBBNiYY2hVo4sXwATCY49Vr8bplo7n1NoZ3g/KsulhM6ixattB1NqZsL8wpwCMPwiNioaCBlQchcfnj0FVowtvRo2Zr35RxfsaG3aGx99HrivEabsbj1xXiOpmN9bvqMAlw+JF85PVneYnU4db4AnQ4MAhwahGpk2H6mav4HeE2n9ubZtX0ldsdHYIf0bGdCbAQqmgoFXR2Lr7NJaV5OKNb2tE/l54vtRhc02d5tRvlp8SzU8iPtAj1xWi1ePH3lNtGJVs6tFc/kKjp7GJvqKvfRcxHJZflcfPlyJtLtmswTPbK7Bqdj50qvMfs4NBFgdr7ai1M0i16JCfahb5ACzHYWi8Dk8tKILbH4RBrYTHF8DT2ysxZmgchid12FQFDUH7rW3zSPaZVHP3Cw40TSE70YgsmwH/PlDbbawlwdgheBxBq6JhM4YTeVs90vPDNk9A1NYK0y3400/GYf+ZcGwtw6qTvHZ4ohEBNgSTRij+HW9QimIb/pB0IqAvwHY7389PNce0A2vnFmB0P8YLfDESGv1BeXGb/BSz5FyxIKXjN5xsduPxDw/zPjwAPP7hYYxMMSHLZkBuslEwN89NNiIjfnDaOikaY8QWm9w+FGfE95oNCgZZKChKso+qFdJ2hWU5+EMh0dgamSNHxjWLToG9p1q7tC2Z8QbBvDUyVkaXpWxGLuodPtj0Kvz5p+Ox51QbOA783BkI253osdfuCWBWfgr21LRIzos9fml/KeLfePwhbPv+LL480RKOaUdtvpAamyLPjtznu1Nt2HWsHo9cV4hXv6jCytJ8XsBcq6JxxxW5sDM+vPBZFdZdP7bLtht53uMfHub7/F1X5vGiBZG6//f+Wswdl4ZhCQY8MrcAVY1urCgdzYt/R7736AeH0erxY+3cAv4wicQY8YNzORAgw6qXbJfR8YyejOs9tTt9QUb8xW+LCAQAqK+rQ1Zefuy/N9T3Y2kIFxK1dumYa0Z87Fg2gUC4cHDE2A8gdz9GX3ExrOcQCD90hiUYJOeYwwb4hG/CxQ0ZPwgDBWl7BMLgxqJTYOW1+Vj1fkf8fuW1+YjTDWxyErEtBMLgJ9mkgTpqTxJFAWolhUSTvAPF+wpiXwiEwU+bl8GxOjfqHT4kmzXISzEgTjewCd/EthAIg5sLdY8usS0EwuDHrFOK9r4vvyoPJu3ASkIQ+0IgDG6I70IgEPqCNIsBK987JNK1eGHxxB7dlwhhdYE/yGHjriqBMZcLTVOYOSoZW5ZOESQryRXKiDeoMSROK0gCGRKnRbxRXgBfq1RIboxSy1Ru9viBjw+dxfOLJ6DNE0CcXoXXvzqBzPgcmeVXST7fapB3AmqSSRsjeUhekLHR6YdFq8KIFBO8viD0GiU+O6ZCo9Mv63qPP4gZI1Nw39t7BQlZHpkiUCat9O83yTwBNsQBagUECbKBUJBPHO8Wjkb5ySa8dPNENLt8sBk1eGdPDYYlZMq8AaBXKyV/g04lz2yo1QqU5qcg06bnA8WFKWao1fIXuaNFEpLNscUUpFAqaVyTn4qMePsFK0giVzBCqaRRmp+KzHg96hw+pJg1KEgx41iTC2UlOWC5cKJjtJhCtDjC6FQTEowaOH0BPDavEJUNbjzywWFY9WosLE7H3TPzkBGvl3zfQZaD0xuU7s96NR4vPyIYmLbuqcFj88bgTJsXQ+K0eGbROARZFslmDfwhFsMSDDCoFchONKLZ5YfVoEKbx4dQCPjX3jO444pcPPTuAVj1apEw1EOlo8ECcDIhvPTFCTwytxC1dgYbdlYi1aLFwuJ0KGkKBq0S359qFgjZ2T0+/O6f4UTCVIsWi4oz8MvXdvP3fvnmiTF/48TMeGTE6zA0Xi9IRhyZapK8Jk6vwpfHmwRttt7BoLrZixZPAIlmFTYunoBWTwBWvQohLpwgGvmtQPg9/mlHBdbfMA7p8Rq8esskNDjD/SAQCgEcDZbl+LYS3Vc0Shp3XpGDFe8Kk2kz4vXIsOpxstmNIXFavHzzROyuboU3wGJLeQ3unzVKNGGRaqMZVr1gsqNoF5vqzl53vhcFCr/e8r1A6IMJsBg3NA5vLJ0csz9ICbI8s70CS6ZmY8POSqzfEf7vFz+vwohkE5ZMzcafdlRgfIY1pphMrL4IQDSxWzu3AGVbvkN1s5f3DS6EBM2+FmFKMmskBRESjQN7gt+5QNMUzDqlwLcy65S9KmIWCITgC7Lwhzj4giwCgdAFNe4QLlzqHYwsUcGB4FzKFhFb6arMUoKGj88fgyFxWigVFIIhCOZgf1g4lu+nmfEGgWgmALy/9wwy4vXYXdOG9duPYcnUbChoYNzQOPwoOyGmEFeSWc3bA217P718ZBImZ8UjhI55YAStioZGpeCFJCP1sH5HRUw/wtcuKqBV0bDolLwolD/EClTqO183KtXMfx7ZKBrkQjDphP55rZ3Bi59X4cWbiqFWUlg7pxBOXwBKisazOyuw74wDmTYdykryBAJha+cWINOmR7PLj4K0PMQbFHj11onw+ELw+EM41eLBq19WQ62k8JtZo2DVqzE6LQ4sy+Klmyei0elDokmDV/7vOBJNWQCAbXdOwqE6Bg+9KxRk2fBpBT9mrp1biD/tOAYAaPYEsHX3aVGQcuW1o/HE/ELo1Er8dddxXtgr1aLFB+3jdIpZi0uzbThSa8crt0xCk8uHeIMa7+ypwcSseL4u6xzCQGhesgmbvqjCkqnZ0ChpZCUY4PD6+Y25HeUswOzCIfzzuhJ1Gwyci0hdf9LfApIt7iBe/r+TuPOKHCQaNdBrlDjd6oFBo8TdM0di0xdV+PWVI87r3sEgi3f2nhEJl8wtShP8HpcvCBcTwsNRG8HvujIPaiUl8p07J8SHOMDSyY+J0ylBUfLfI01TsBnVMeYwHbEmjqPwwDUj8ei/j/DlfOCakQAXflayWSd5j2SzBoVpcYK2NsSkxfsHanmbuqwkR/LadKsODXYPtEphzMQf5KBVUeH5kzsAq0HFC+OJ5x/qbtuPUkljzpghyE404EybFzQonG7zYM7YNChoCnVOL7K0Jtl12hMybbHGNHlzi7NOBm+WV/PzXp1aiU1fVKE4y4psbXgcbnb7sKg4QySQ3eL2ITvRiBkjkpGdYLygbENvEjmxRmqu2ls2KBhk8e6+s6huduOtcvG4lp1gQJHEdSeb3fjmRCsO17bh+cUT4PGFUGv3Is2qx6+vzIVOrcS2vaegoGk8+M7+Lm3LsAQD/rBwLO5+K+xbtXr8MGqUuGdmHhJNGlj1angDIcTpVNjb5sUZexte+Ezs5+QkmfD7Dw7zY69FrwJNU6ApCvdePQJP/ucoX441cwpiCkfnJZtQVpIDvVqBRZMy8MsrcvCXnZUYmWJCdlK4f9E0hdGpJvzx+rEIsBwqGpwCUa5wPIpFyagUcGwIy68aASYYwsbFE1Dv8EGnUkBBA1qVAh+UTeu27fJjYYoJLW4ffpRjgz/E4s2lU9DsDteXUaNAokmDB98RxqSs+rDPmBGvh1GtxKpth/hyPvjOAfzrV9PwQdk0eP1ByUMJzuXU+4iIenQ76hzP6Mm43lO70xfQNHXR2yICAQBCHIcp97wQ8+//uPt/+rE0hAuJxJjJXIMn5kog/JAxaqT3YxjOYS28L7gY1nMIhB86wxON+MPCItz91t6otZIiDB/g9SLCxQ0ZPwgDRay2l0TaHoEwKKhpYfD3r4XrVS/sOo5EYy7yUgauXGRcIxAGP1Y9ze8n59fe5hQg3jCwezETiX0hEAY1bV4GHx1oFB06N7MgcUDFsIjvQiAMbi7UPbrEbyEQBj8aJYUUi1BfIMWihVY1sPaF+C4EwuDmQvVdiG0hEAY3w5OMuO/qkeJ9Lkk92+dChLBiICW0sfzN7zGybJqsZHSW5fBpRQP2nbaD5YDDtQ40uhjMGJEsa0AYYtbhtNGNJJONTzQOcSEMMetklV/TrvDaWfFVKzOhq8Hpw0eHmvDRoSbB57PHDpV1PUVRePB/RqHB6QPLAQoqvKGblpmkSVPAspJcgQjOspJcyB1Lk0wa/GRypkDIauW1+UiSuXlcp1byiYJAR5L7plsnybreyQRw15V5ePqTY4IEV6fME2Cb3X4EghxUCgAcAAoIBDk0e+QJeSWaFCgelohbX/lWsACUaJK/8dYXDKFsRq4oYdIfCsm6Phhk8a9Ddd0mA8dCSiRh3fVjMSs/5ZzEsIqGWlEkr9kOCHIEI4JBFtsO1vJ1mWnTiRb4ymaE+4eUOEJYFGgvlpXkYsqweLz7/enw5oN2kbhXv6jCnTNypd93MIScZKNkf9SrFbhhYobocwcTxB8+OoZ549OhoIFLsm3YU90Khy+Ey/MScOCMA4992JFUfe/VI5Bs1iHdZuB/07zx6SJhqNXbDvECR2UzchEIsXxypVmrwupthwTt/Q8fHREIGlj1atTaGcwbny7q3/5QSPJ0Mr2KxhdVzSivbsGoVDOWX5kLhy8EjgN0alqyXpxMALe+uhtaFY0n5o9BYZoF3kAIy0pyQIHGhh1HceOl2WD8IdgpCq9+UYX720UmIsmUEbEuu9ePZncAJ5rcYDmgssGFrAQDXv/qGG6dOhyz8sM7Rjr3laevL8KLNxXD7g3AoFGCBqBSAh8drhcJj6TFaTF/fFq3ExaO62izs/JTYLtlEr4+0YIRKSZR3cVSAY5u71WNLrR2smlaFY1Mm6HL/hBLkCUyvDABFgoaKJuRi0fbk3gBoMHJIMOqx8Fau0CgMmKPYvXF6ImdTqVA2Rvf8UIm5+ob9DV9afNMWgWemF+IykY3P64PTzTAPMAn+J0LJ5vduPNv34mSUj7opffn9Qbw8dEGVDa62vurE3V2BleNSIJOJ08Ik/DDpSuhhoGmt8smNc+6f+s+XsAqWoCKCbC4+63vMSo13E8z4/X41YxcgX+5Zk4BGl0+XugpEvTSqmhsWToFRUOtojLsO2vHtydbsX57pehvo1PNSDRqRL582YxcOBi/5BjEBIPYuLgY5dUtYLmwoMDS6cPhZAJYVpKDnCQjWI7j63HX0QasLM3Hc7sqRf7XmjkFcPv92NguSKykKbzz/SlcPiIFz+86Lvr+2rkFaHD68Nt/7BeUtdEVHmNLx6TxdRMp74PvHMBTC4pwpN4JBQWMHmLG6VavQOBiReloOJkA4vRK/PKybDS5/Thj96HO4YPNoMbZNi8+OtSEhRMykWnTwc5QvB8Xec5D7x3Aq7dMwmeVTeA44I1vTmLp9OFYs+0QAEgGKfVqBQ6cdUBBAfPHp8POnMCdV+SCa3dEOA5gOWBUihkVjS7c/PI3grrIsOr5+yWbtYJn3DkjB2fafADCYmTH6p3ITzXj/72+R1Q/uYlGFHUhojnYkDPnGAj6c75m1inR6vHjqY+O8Z9pVTSeWFCEsr9/BwDw+uXNdTtz8Kydt0uAuB1F0KuVePh9YXt7+pNjeO7nE5BuEcZ6kkzC9ptq0eKOK4YLvsMBONPmwbBu3mu0aK5JI+3TmTQdPl2dg8Hbu08LhIX/uus4bO2LCKOSTVg9p0C04XRUslnU1spPtmBFlG14s/y0aO7w6HWF8Pr9sBq1cDLC+YHbF0Kdw4/7tnY8a2XpKDxyXaFI4E+vkRdn+ORoA6x6Fe57e59obHv55onISuwnISyJMW3t3AJkxuu7vxjhedGZNh+O1jn5udCZNp9AqFKtoCVjW1uWTgFw4dqG3iLFqMaaOQV8G4yMsynthwz0hg06VGfH7/65H7dNy5Yc1wwa6dB7vYPBziMN+MmkTPxi8248fX0RVm87LPjOHVfk8CJYQJRtSTIK/BuW5cByrGCzg0GjQJJZi0c/OAR/kMPNl2ZheKIB6z4+BqteLel/1LV5+HKvmp0Pb/thALV2Bp8fa8Tz7YJ08QYVXv78BBZNyhDFnleW5gtiMWUzcvH7fx/G7ZflIF4vPNyh0eVDs8ePf+45hfnjM/j4QGSjqUbBQa1SIchyUNI0/t/r5aI+u+mWSbLbb1ftnWU57Klp5ftjdEyq1s5g/fZKaFU0nlxQJBLzbnQxmJKdAIYJotXjw8s3T0Sjy4dEowYhNoRkg3yfOSKiHt2OAIgEaM+37/bU7vQVF7stIhAIhK4wqBX4f5fnYGWUkOKq2fkDLqJDIBDkoVEq8MA1I9Hk9vNzbJtBDa1yYPvwxbCeQyAQwnu+ouf6GhU5eIfQt5DxgzBQxGp7JtL2CIRBgVmnwrEGF7/eCoTj9+YB3idl0iokD68g4xqBMHhocISwYWfHATIAsGFnBbLmFyErYeDKZSZ+M4EwqDlW5+ZFsICOPY5ZCZMwadjA7dUlc3ICYfBzIe59IX4LgTD4aXEHY+51HkiI70IgDH4uRN+F2BYCYXATzmnhBPtcWI4Dy3I9EtojQlgxiCW00TnxJBY1LW5U1Lv4RO6IQEpOohFZCd1fX9XixKkWn0iUJcHoxMiUuG6v9waCSDRqBA0m0aiBNxDs9logrJ4omfAuUz2x0eWH2xcS/P67rszjE7K746ydwb/314oSLzPi9Rgn43pPIMTXHRB+d6veP4hXbpHn6De7fJLvv9nlk3W9Va+GTuUV1L9ORcPaKekrFnF6FU40ufHQ+x3CPsuvysMwmcp3zS5WsADEceEFoOELx8peABpi0ePBdw4I7rGlvAZX58sTAztYGyMZuFPCXix6KkZ3IROdiJxs7l4xtXNdlo5JEwkNrN9RgbdvvwSpcTrcv3WfQAhh81fVYAIsntlegfG3TsTC4gyBSNyq2fnQaxTYUl4jet/3zByJFrcfm76sFvxt05fVKEwzIS1OqCydFqcFEMLiKZl8UuXGXVVYVpKLrbtPg6bEAhdP/ucoXrypGHlJJv5zioJkHxydasKSqdnYUl6DR+YWYuOusNDXHz8RJvc+9G647W7YWcm3vfuuHoHV2w7HuDcHBcXhqQVFcPuDMKiVYLkQjjd58EBUgvWK0tHYtq8W+844UJBmlqyXB348ii/HfVv3Yen0bD5pcnxGHOaPF9b/ytJ8ePxB/PKybPzlv1UCsa5Nt05Cnd0pGktuvywHd/79O4wsmwYAgr5i1atxqtWLdW8K33FukhHL39wtEh7pSgSoK0G6ZLMGKgWFZW98B6tejaXTs5ERr0dekhEFaXHdOidZNgPWXT9WdG8pAa1oYgmyRIS6tCoaeUkmPBIlgqVV0Ui1aPHO3jPnLM4XPbH78ngTL4IV4Vx8g8GM3RNAncMnaIvLr8qTLTB5IdBT3647Djc4cabNK+qvhxucGJ8Z3+P7Ey5uztcmDsaydSVoyHLS43+kn9a0ekT+5Yp3w6JOUtfV2RlJcYs6BwOWg+R4sv+MAy9+XoUHrhmJO6/IARNkeb/o2Z+MF12TadOhzu4XzNvWzi3AG99Uo7zazm+ofH9vh/jLtLwkPLerEqVj0mDUKvDsT8dj3+k2hFjg2Z0VWFScgd9/dQytHj+WTs/GdeMycFd7/X94oBbrrh+LI3UOhFigxeXDuk/EIicRP0hBS9fpsQYnnt1R2S6gOZYXwYr8fU27AKkvwMLtD8/rrHo1FhanQ69RItWiQ6ZNB6tBhfU3jMOROmfMd/fsjg4xhzuuyMGWpVPQ5vEj1TIaa6KETFdem48V7x7gxTOWleTi8XljEOJYVLd4cf/Wr/nvPj5/DP7USdzlwXcOYNxQK68W3rntJhnVuPGSTIGI6e/nFUqW+4zdiyJ0P2chDB6YQFBS+PdslPBLnP78NmSfsXtltaMWt7SYXiDI4nC9QzBPVtBCcfAbL8nE2n8dFtms15ZM7rJsnf35f/7yEkmfbmiUiFyKRYtrClMFc5ZlJblIMYc3fNW0eiTjDeOHxiEnWSgiVdfJ5tfaGYxONeDPPx2P79vt3jPbj+GOy3NQkKZFnE4YpgxxHC+yE6mv53ZV4ddX5gnmoR5fEG5GWLdSROIMscaNZre8mFVvIDWmPfjOAYyXKcKXatGKbFr0ewIAjz8k+Ts95yn6Ntg40uCC1x8UtBWvP4gjDa5e889r7eE2vnX3aZGNCb8P6flSslmLy0eG/YElU7ORYBTHYWON4bWd/JtDtXbcK7HZYen0bCwqzoBaSeGpj47h0esK+es3f9URyxidYsKafx1Gq8eP1bMLwASC0KkVSDJpEAyyGGLR4poxQ/CLzbsFY7ZWRSPRpMHmW8Mi2YXpFjzUPo5HyhrxSVa9f1Bkr9QKmvc3IvXA25RPK/BQaT7u+FtYPLCsJCeGnyEvTtsVETt5pM7RbUwqIg4WXc8RcdijDU7sP+MU9UmTRi0QReyKvhbH7andIRAIBELv0+YN8CJYQNg2r3zvIF68qXiAS0YgEOTQ6vXD274OGr0foo3pv7mlFBfDeg6B8EPnRJMba7YdQumYNH7tZM22QxhmM/b4tEwCIRZk/CAMFKTtEQiDG49feg22czy9v2lyBbDh085rD5VYO7dwQMtFIBDk08YEsKg4Q2Rf7DIPJO8rXL6gpO+SGjfwh10SCITuqXdI54jVO3q+96AnkHkRgTD4Odccwf7A7o1hW8zEbyEQBgsefzDGHuCBjbsQ34VAIPQFxLYQCIObgzFyWjLi9bI0ZWJBhLBi0NPEk3qHj098AdAhQpNhlSWE1eoOSgo5yVVsVdIK/HH7QcHGqD9uP4bH5o2RdX0wFMK6hUVgOcDtC8KgVYIGEGTlJctZ9Sos+0SYrPj0J8ew6RZ5IkqpFi1+PiUDNABw4QSkn0/JQKrMCXeT0w+rXo1549P5k0C27j6NJplCXPEGaSGweIO8QZMJhPDov4+Irn9J5uZ1GpQo2XPdx8fwejdJrhEaXT74gxz/b4oC/EEOjTKFvABgWIIBq+fkw+kN8W1g0rB8DEuQJ3pQa2ck30EsQYLO9LVgyUDRlbBQrEBXJLEyQqyEPJcviP8pSIVVr0arx49j9S5s/qqaFwNiAiz8QU4ysWLzrZPws8mZfLuLOIqnWz0oGGJBWpwGI1JM8PqC0GuUSIvTQKVQYtOXFbjx0mz+81e/qMJ9s0Zh/Y59Ivu3ZGp2TIELFxPCqFSzoN9J9UGbUYMXP9+LZSW50LT/PVZ9ZFh1uHNGDgBg19EG5CaZUFaSg9wkEzJtOoGgUXWTC1aDGmolDb1aA7c/hESTFr/5x36RKMS668dizbZDMKgVaPX4sWFnpaCM0a+RCbBguY7/1qmUWLVtj9C2bzuITbdMQpPbj4XF6Vi/vUO0ggmEJMeS534+ge8PXKc6/dnkDJH9iCTPnGuf6ixIZ9WrcaTOEX4XBg3e+LaGT6SNiH3961fTZAVtaZrCrPwUjCybhgYngySTvIBvukWH319XiN9GCZQtK8nFpi+r+f5k0NBYWJzOq/8WplvQ5g5IJnxm2QwYn2GVVea+Tkq9kAmywEcH2wUqo/r76FTzQBdNNkkm6feXaOyd9+f0BSX76/OLJ/TK/fuDYJDFwVo7au0MUi065KeauxSKI/Qe52sTB1vZgkEWagUt2RdHtIundGVn6x0d/qVJq0BanB4nmtzQqxWisV2ropFike7fqWYtnvzPEdGGzDVzCtDs9uG2adl48f9O4IaJGeC4sBDF2jnhDZHRwjRaFY3fzBrFi1QBHePLkqnZKK+2gwmweOi9g3j1lknYursary2ZjHoHgw07vdiwsxJ3XJGDRz8QzhvW76jAkwuK8OgHhzE61YxAiOP/Pi0vSTA23zlDWhhCowzXc1F6HDJtOn5eCABfHW9ETpKJ95OON7ok70FRAEVTeGZ7Bax6tUDoNCK0qaApePwh6NXKmO8u8pz3956BUqEAQMFm0CDActi4eAJa3AEkmzX4w0dHBOIZz2yvwFMLipBk0uD+rWIxz4jYV3SZj9Y7QFHg2+jMUcnYsnQKau0MEowa/PzFrwX3OdnklvY5Zc77CIMHvVqFHUfq8PT1YxFkORjUCpxu9cDtD/H+ZIjjur+RBDYJARupdmTSqiS/Z9QqRfPkWjuDBrsHr9wyCY1OBmolLTm/bulGuKmzP+/0BSVjDRuj/BV/MITth+tEft/YoRYAwIlmN6qbvYL+F/m8sxBWqlkrskGhEIVV2zriVdcWpWHDp5V4ckERaEo4trh94kXc0jFp+G3UPC1Sj39d3H28pd7BIC/JGFv8vR8XSnoa8wiLiIl9z5mjU/jvxJq/JLfH1i7EDTi9idMXlIzN9aZ/rlMp+DYeZDk8uaAItW0ejEw1w+ULQiXhS7MsB44DcpNM+MmkDARDHJrdfjy9aCwe+/dhXhCyKD1O8v0ldDqk4GyM+BvLdfgUTIBFglEtuh9NAQZteHkg7LMcwPOLJ2B3dSvS43R4b99ZnGx2iwTNV71/EM8sGos/fhKONTNBFnVtjKRwdCRm0+TyoarRxbc3ty/E/13Kpuw93QYmwCLVouXjOSwX/m21dibcZ2MIjZ0LETt527TsbmNSmTYD73N2Foe1MwHJPpk/RP6cua/FcS/WWCuBQCAMZty+kOQ47vH9MIRLCYTBjkmjwt++6RCZBYC/fVONJ+cXDWi5AhfBeg6B8EPnrN2Dn07KxNOfdOzduOvKPNTaPUQIi9BnXAz7AQiDkyALvP610Kd6/etqjCZiNQTCoEBB0/j+VDOeXzwBre4A4g0qvPbVCRSmWwa0XF5/CBatSrDf9bNjKjA/kMNiCISLgTidit+jBHQcwiM3D6Wv8AU44jcTCIOY5Bj7hZJ7Ye9BTyAxXQJhcHM+OYL9QTBEbAuBMNgxaVUozrSI8nZNmvM7+Lm3IOsJBMLg50LMISC2hUAY3HTWQQHCMV25mjKxIEJYMehp4olUst65KK42u/yS1zd3k+QYIRAKSZ6EEQjJW8jTqhVwtDB4uF2MS6ui8fC1+Ui2yAvyuZiAZPndfnkncXDgEOIo3PP2Xv75K6/NB0fJS0xNt2px4yWZgiT1ZSW5SIuRDN8ZbyAgeVIRE5D3/pwx3r9L5ub1Nq/0+7d75b1/q14l+futevkTHZbl0Oj088IxWhWNtXMLwLKcLKcm3aqTfgdWnaznX6yCM50TkZkAi+Vvfo+RZdNiJp2lWnSSdSFVN0oljak5CdhT3YL7t4rVE2OpQbd6/Ei1aLF0elisiqaAFIsWm744gQmZFiy+JAuVDU5eWGjxJVlwMAHMGJmC+6L6admMXDQ6pU/LiGxY6pwI/f7eM9CpaWTG67F2bgEefOcAtu4+LRKaKJuRizaPD0umZmPTl9VIiRLGk6qPM3Yvnt1RiUybDrdfloP/3VwuEG7486eVfPLiuMw4nG1jcLzRJXjmXVfm4ZUvTgrExI7UOTBvfDoanYyojMtKctHgYATliM6nr49RNw1OH1gOGBqnQ1lJDi7JtmHjrip4/CHJ7zOBcMK+TqWAUSNMqE+xaKXtry90zn0qOkky1aIVCWCUzcgVia01OBnZG3BpmkJ2olF2wmUwyOK9/Wfxpx1hYTUFDYwdGofhiQaMy4hDkkmLDKseHx2uF6j/rrt+LJo9PsmkohNNbjQ4fbICzX2dlHohQ1Es5o/PEPT3laX5oGSOyxcCSgWw8tp8Xmg04lsoFb1zf1+Alex7/k6fXagEgyze2XtGNO7PLUojYlj9xLnaxP6kN8oWaWN/2lEh8rOXleTi0Q8OQ62kRP002s6mWsI+/hvf1mBRcQbu7WSTntvVMbY/cl0h8lOlN1fmp5hxx+W52PBpeDzRqWiMSjVj9baD/PVlM3KRnWjAsjc6bP6TC4qw6ctqwamhFQ2xRaSi//1/x5swISsBZ1pcOG338WNyLEFPrz+IX16WjZpmNxxRYzhFQTCejUgWC3xqVTQK0sx45oZx+NfeM7h9eg5Wbeuo01Wz83nRKa2KxtPXj5X0ETgOcDJh33He+HRsKa8RbEL/86eV+P11hUix6PCHj45gZWm+4DmrZxfgvq17+eesvDYfT354BMcaXHj11olodPoF77psRi7OtPkEfoXbF0SzgpKsI51KaJu0KhoHzzqx/M29WHf9WMwclYyPDtfz4/YD14wU3efN8tNYPacAD717QNCW5M6bCYMHtYLCoomZvHCdVkVjReloDEvQ4ulFY/GXnZXn7dP5g0FR+5dqR76g9InILl9QJNyXHq/FqCFxuPnlb8AEWLy2ZCJ+eVk2mtx+fk72y8uyYdZ1HdbrLHoSa37h9Xd8xnGcpN/HtU9stCqFpM3QqsROVcTePvReRx/Lsulx66XD8PsPjwjqodXjh0kjvIdRKxbZi4gGd/4NLhnxtiFxWvxkciZONDgl/UKO6z+/racxjwantPhRo6tjPpZu0Yls3Oo5BUi36C7YDTi9ib8f/HOLToXbL8sRtqXSfKzffgwz81ORZNIi09bx/eh6t+rVuPGSTDy7sxJMgEWmTYcVpflo8/ihUSrwr71nJMcoRSfXPN6okrQP7vb+bmgXDPUGWJTNyMWW8hrJmHFkbr+7uhXrt4dFqTbuqsJt07Kl7UYgHHu+5ZVvwQRYLCvJielPRGzEj9d/xj/zr4uLoW0fy6WuC7EdcYh7O8WdtpTX4I7Lc6DphblcxE5u3X2at9FSMam7rszDfVv3YvlVI5AWp0W8QSNY+I1tX+X7FH0tjnuxxloJBAJhMJNgVEuuo9mM6oEuGoFAkIGDCUj61k6fvP0QfUXs9ZzBsVZBIBAArVLBi2ABHQcPvnbrwCZ8Ey5uLob9AITBSYCV3uMaZInvQiAMBiw6Ba4clYpfbN4dtU8gH2ZdL23GOk9SzBr8ZHKmcFy7Nn/ARS4IBIJ8ml3Se61bPPIPBO8TiN9MIAxq8lIMWD27QLCPafXsAuSlDGweAInpEgiDm/PJEewPuBi2BSB+C4EwWPCHQlhYLOzHq2bnw88ObJ4DWU8gEAY3F2oOAbEtBMLgZkictA5Kqkxdn1iQrPYYRBJPPiibhjeWTsYHZdPOyZAnmDR8Mk8ErYqGzSBv83KKRfr6ZJO8hTitSil5EoZWJU/7LBgCL4IVuf7h9w8iJDOWZtSqJMtvkKk46w9yfBJZ5Pmr3j8If1DeoMVy4DeOR65/ZnuF7Om6UaPCjiN1eGJBER6fV4gnFxRhx5E6GNTy6s+qV0v+/jidvN9vilF/Rq286xUUJfn7FZR8R+RgrZ0Xw4jc48F3DuBgrV3W9VqlQrIMWpmKIxHBmeikuItBcKZzIjLQIR4Ui/xUM9bOLeDr4v32ZMhYdUPTFBLNGqyenS/4zurZ+UgwSNsWq16Ne9/eh/XbK/Hsjkqs316J+97ehxWl+VDSCpxtY7BxVxWe3VGJ53dV4Wwbg3i9WtLOJMawfxwH7DragNsvy8GLn4fv9cJnVbj9shxYdCrUtHp4gaNfX5kLBQXceUUO7pyRgyVTs7GlvAb7zzixYWclWj1+1LULTkWSFaN/67KSXLxVfhoAUDomTWRPVr53EI/NG4PnF0/AnVfkAByF441uUZt9+pNjmDc+XfA7QiyQP8SEDJsBBrUCS6dn484ZOVg6PRsGtQKBdkMZKcc/9pzmr08wSdsGm1ENmgJqWr1Yv70Sv/nHPjw+fwxsBunvm7UqPH39WKzZdhAnml2CvpJk0qA404L1PxmHx+cV4k8/GYfiTAtMWiUenz/mnPpUJEkSAOaNT5d8353rR6/uu40sEbtU3ezFhp3hdvr/Xt+Ds20MJmXZkJ1oRE2rRzKQbNaEBQKj296Nl2QizarF8je/R02LG1WNLnx5vAlVjS6wrHjE6KlvMJhRKZS8uAPQPi5vOwiVYmA3Lp0LdXYfnvtvJZZMzebtynP/rUSdvXc2RyTFsH2JMn23gaan4z6B0B3RNnzzV2ExqbKSHDzVLi5Va2dQ3ezFc/+txJb/nSJpZ0Ns2McvHZMmGpNWbTuIu2eORFlJDp77+QRcW5AaU8TtrJPBhk8reGHOwnQL7vjbHl5MKjLGBYKc4BkUBbR6/NiwM+wvbdhZiRDLxvR7ov8dYoGV7x1EcpwBNEVhWYnQd+l8vb593qFS0AJfx6hRCMaze9/ei9svy0FxpgV3XJGDspIcPH39WPx5ZwUOnrUj1WoQ2e+V7x1E6Zg0/t+PfXhY4GtGNpj/Y89pKGkKWhUNk1aBRcUZgnF0UXEG/CEWWTYDbp06HFv31OCJBUV4Yn4hXrllEjZ8WsHXqVWvRq3di59NzsRt07IBQOSfSfkVLR5/TH9obEacZJkjY//BWrvAJxiRahLdp9XjR5ZNh+cXT8Azi8bi+cUTsPNorew5C2Hw4A2wWPGucJxbs+0Q9p9x4K4t3+OawlSknOfGZ51KiZ1Ha7ttR2atmheUi57j6FQKkXBfXZsPD73X0Uc0EiJTAKCmuw7rRfvzAGDWKSX7k0nbcX+lQoHndnX4TLdNy8ZzuyqhpMPfMWuUIhu2rCQXJo04XnLWyfCbx4AO/6LZ4xf1f51KAWUn31KtoEXPGpVqlva5jN2/vzZ3AKveP4hTdh+27g7brMfnF+KJBUXYursGCUZ5wt29QU9jHhFxyM7zm2jB6MP1DmzYWSFocxt2VuBwvSPmBpyTze7e/7EDRHyM8SNeZmxWDhTE49mqbQdx06XZeP3rajAB4YaD6HqfNz6dj0GkWrRYVJyBO/+2B/e8tQ/3vr0XE4bZkGpR4/nFE/DUwjHhdrqnRhSbVdPS9kGrpMO+g06B2y/LwaGzdmwpr8HdM0fGnNtHfBYgHFuNfEeqHlMsOsF93iw/LeqvZTNysW3fGawoHY2VnW3Bu/vx+PwxeH/vGVFMZ82cAmzbdyZmHOLJBUU4VtcGo7bnc62Inay1M7yPurA4HeMz4/DKLRNxz8w8LJmajVe+OInqZi/u37oP8QYNshONglhAZPGmcz2d6+JNRIB2SnaC6Bk95WKNtRIIBMJgJsRykutoIYnYNIFAuPAwa1WS/qpJ5np+X6GOuZ5DzsgjEAYLrR7pgwdbPAMrtEe4uLkY9gMQBicGtbRPpZe5R5NAIAwsTIATrGkyARYPvXcQvsDAxjaYICu5/5wJEjEJAmGwYDNK78WMNwzsXszYcRfiNxMIg4E4nRYzCxKx6dZJ+NNPxmHTrZMwsyARcbqBPTyKxHQJhMHN+eQI9gcaWtq2qInfQiAMGtQKBf78qXA/958/rRzwfkzWEwiEwc3JZjce//CwwLY8/uHhAc8hILaFQBjcGNUKyTwzo0Se2blAIiNdEEk8OR8FZl8whLuuzONP6YucHO+XqSSlVSnw+3mFONHkBssBCgrISjBAJ1NgpCnGSRhNLnliD/UO6evrHfKud/uDWFmazw88EfVFtz8o6/oWt196Y5fb3y/lV9GUpGKuSiEv+YiiWKyenc8v8kZEiGha3vtv9QRQNiNXdNpZq8yNbY0u6fprkll/AFBrlw7G1NkZFA2VU4YYbdDtQw5M3V4fEZwZWTYNDU4GSSYtsmyGQS84E0mw66xqmGSKHUBXKmnMLUpDbpIRdXYGKRYtRiWbUZxpjVk3aRY9dGo7lk7PBssBNAXo1ApQFCTbltMnvZnSGwjBH2QlkzGe//kE6Wv8QdEzlpXkYtOX1VhYnC65yeCFG4vh8Yd4gaNUixaLp2Ti2Z2V/D1WlI6GkwlgWUkOcpKMUFAUn6y4pbwG664fC7cviCSTBr/5x37U2sOBQ4qCZDm/rGpGslmLt3afQlaCQZDkGf09Bd3xnlaUjsY/95zCvHFpOFrvwNu7T+O26cPh9QWh1yjx113HsfiSLDwxvxBWvRr1TgatHj9/fYgNSdoGh9cHm16N53ZVAQCqm71Ii9PC7pW2BYdrHXjyo6Mom5GLNdsO4dVbJuGD9r4CsJL2i6JYXDM6BVk2PWrtDFItWuSnWrrsU5EkyeVvfh+zHqPrp2xGLi8E1hfEskunWjxINmuRnWiMGUhucvsl2/GffjIOVr0ae2ra8MA/9/N1FlEyBsITvHoHg2RzuK+dr28wmGlwStv0RucAn7B1Drj9Qd7GROOR6Zt0B8txkr4PN0hOzejpuE8gdEd0G6u1M3xfvHNGDj9mA+Ex0BsMYUp2gugeDU6GF6SSaq8aBYW5Y9O69RnrHYzAHiy/Kk/yflVNwkDexv8ex+o5BXjo3Y4TwfKSTXhs3hj85h/7BOPunz8N3zsyPm7+qrrdbjJw+0PYuvs0nl88ASzHIS95DCobXPy8L16vxpMfHcENEzOQnWgUCDPkD7HgfzeVi3ypv/xsPH75+h6Bv5CVoEdVo1vyt0Xr41Y3e2HSKrF0ejaUNI3cJCMe+/Awau0MXvjsONbMKYBOpcA97b5F5B7rd1Tg5ZsndvjtKaZ239SMygYnL4IV8eui/ZnMeH27OBYjKFe0X7H8qjxolTRcPml/iAmEsHR6NtLidKhpCQusRe7HBFiRXWtz+0X3uevKPNQ5fLjvbeH784cG9qQUQu/T5pGeI0fsyTPbKzDhlonndW9fMISSTicdS7Ujly+AOy7PEcwFHrmuEEoFJxLuq+sU0wixHNz+EDbuqhLMsQLdnIge7c8zARZqRbhvrfu4I1a1/Ko8qKOe3+YJ4KeTMkXxrDYmHI9gwSHFrBXMNcPiS2KfJ5Zv3jmvnwmwOFTrxFCrUIjK7g1Ar1IInkWBw9q5BbyAp1ZFY+3cAoS47vttffs4snX3aSyeIjwFet31YzEsof/EYHoa84iIQ3ae38wcncJ/JyIy2dn/rbMz8PhDMTfgXCxzHU8gIOmfewK9lzQaK/blD4Zw66XDRHYguk9E+zNSgk9rth3CkqnZePHzKpTNyMWW8hosKs6Ak+mI7bEsB28gKGkfcpOMKJuRiwOnHXjiP0dh1auxeEomKhucMef2EZ8lglZFY9fRBlE9rpqdD5ri+LE81aLFvPHpoCjgxZuKcaTWiWSzFhw4/GbWKFS3uHm/IEIk7vHI3EIcOGvHEwuKcLLJDV+QxQf7zuKOK3JxutUjWdbPK5swcogVmfH683ltAqLtZK2dwYufV2Hltfm47+19uLYoDc/uEPafWP1kZJJJ5CeunlOAkcnmHpext7hYY60EAoEwmGmKsRbafA5reQQCYeCIuRYucz9GX3ExrOcQCD90dGqF5J4SufvFCITzgYwfhIGiJcb6TWSvFYFAuLBpiLFPu2GAx49Y49pAl4tAIMiHg3QeBoeBFbQjfjOBMPiJ02kxadjACl91htgWAmFwcz45gv1BrHWsxgFexyIQCPKxewNYVJwhyqGwewf24BTiuxAIg5tmt08yV6TF7RvQHAJiWwiEwc3JFg82fRnOfaUogOOATV9WY2SKCdlJ3WvKxIIIYfURNoMGHx+qxRMLiuD1B6FXK/HqF1W4anSyrOsbXAyaXX5BEtM9M0cgTi9PETrJpJGcSCca5Z2EkWyWvj7ZJO96g1qJ53YdFDTY53ZV4skFRT0rv8znm7RKyetNWnlN3hNgsbLTSUUr3zuIl2+WlxjLcTTeLK8Jv/92gZxXv6jCfbNGybreqldhS3mNoP62lNfIrr8Eo1ry99sMalnXA0CqRSd5jxSLvGBMbwRzeiJGd6HSORE5knCbZes64VappFE01CoQI+mqbmpaPbi3PaE/glZFY8vSKfj+VDOeXzwBbe4A4gwqvP7VCfwoJwGZNh1Kx6Txwgjv7z2DJJMWFTGSJD3+kOQ7pmkaHx6o5Z+hUdKotXsxf0I68lPNkvfy+kPISjDw94sIPiydno2hVj3MWhUe/fch+IMcFhanI8hySInT4oFrRsLafsJPTbMboICMeL1oQ5RUOUMssGbbIWxZOgW+IIuKeqfk9yYPs6GsJJxo/M89p3DHFbmodzBIMWuxYEI6KhucvHDFggnpsOhU2HvajofeO4hnbhiHZSW5GJliQqbNgDaPH+Unz+DlmyeiyeUL9weKhYpS4OH3j/DiDZGTi9j2vt/ZFtx/9UhegOLJBUWod/owMTMe2YlGfHOiWdJ+bbp1Ej452iBqe7PyU2ImPUYnSTa6fHjhsypR/RRnxmP5VXnwBVlsKa/B1fkpqGp0CYSjIvdnWU4kKnUuCZex7JJWreQTUWPZHqNGKdn2Wlx+LCxO50WwIp8vf/N7jPjVNBytd/J1Vpxpwd0zR8LuDSDVokN+qlkkWnCxEmtciT+HcWWgyYw3SNq5jPjeETwIsRye21Up8n2ekjl2DzQ9HfcJhO6I1cY6DwNd+YsRGx/5Xud75SabZPmNnccKf4iVvF+wk8CMnQkgwajCUwuK4PYHYVArYdQqkGUz8CIt03MT8MJnlXhifhH+73gTQix4gSatiobNqAHqXWht39QdDIUF56LnfXddmQd/kMMz2yvw55+NBwBemCE7QS85nn13qk0kUrV+0ThMyLRK/jYuSoRGq6LBsmFfh+VYnGx244aJGciyGRBiOVgNSrh9rORzXUxYTLCz3+5kgvxzpcQ9Vrx7AEunZ2P99kpBOablJCA9TgedWonaNg+GWHWwaNWS/tAfFo7F3LFpaHT5BL5P5F6d2xxN06L7UOB4EaxI2Va+dxCbb53UbTsiDC4SjNIxhkhfYAIs2rznJ46pVigk/e/O7UipiIoT+IPQqZXY9EUVll81QnTPlE4xmUCIkxQ9euHG4i7LFu3P1zsYUBQFS7vwXURYyqJVgkKHMbbqVShrX9iIPOvpT47xv8eiU+P1rw/hxkuzBb/jiQVjRc+P5ZtL2X6PPyiK+Vj1avzl08rws9pjK3E6JZpcfsFvYAIhaJXdx3tsBg0vphwRGFTQwLScBEzIjO93MZiexDwi4pDRhDeqMBieFL5fV/6dSau6IDfg9CZapRJb91SIYnP3y4zNycGgkY4/apQKNAR8sOqE86XOfSLy37FEPiOfr99RgVdvmYQn/3MYP8rJ579zstmNYEhaFO2vNxbDqFUgXq8RxFke+PEoyTJfOjwB92/dy8cltu4+jWUlufAGQqJ5zp8/rcScsWm48ZJM/Ht/LWYVpAo2W6woHY1TrR688W0NSsekQUlL+27xBg1a3X788ZMK0d+WzxyB4QkG3keK/luIBR585wDGZ1h7HDPsLA6lpGnc/db3vHCX3H5yqs2LN7+tFq0FTMiw8n3yQuBijLUSCD8U6uvqkJWXH/PvqSlJ+HLXzn4sEaE3MMXwJXp6ChaBQOgfEmPEGhJk7sfoKy6G9RwC4YdOkkmFldfm8weMaVU0Vl6bj0STaqCLRriIIeMHYaAwqqXnRQY1mRcRCIOBpBj7zJMu0HnRueyfJhAIAwsF6f0V913de2u95wPxmwkEQl9AbAuBMLg53xzBvsZGbAuBMOgxa1WiHIzIXtKBhPguBMLgRqOgeREsoCNX5M2lUwa0XMS2EAiDG4NaiVaPHxt2CvNE9T1c8yUrxn1EukWH64szcd/be6NOoihAukUn63qjWoWnPjoqGEye+ugoNslMyA2xHFaWjkKtw8cLtKSYNWCjM567QK9SSJ6koZd5wqDDG0B1s1fQYCOfyyo/F8Kq2fl8MqlWRWPV7HywXEjW9UaNAstKcvlEMK2KxrKSXBhklr85xinMLTJPYW71BDBjZIrg/ZfNyEWbR97vz08x4o7Lc/HQewcE7Sc/RV6SEhMMYmVpPlZti9oYV5oPX1B+Ym9+qhlr5xbgwXc6yrB2bgHyUy2yrr9QgzkDTecEuySTfDGgYJDFwVo7au1MtyI89Q7ppFiW43Dl6CH4xebdHW1rTgHyEgz41Yxc0fvOsOrR5vVLOpFNTp+ony2/Kg9aFYVrClMFzyibkYutu0/jkuwxkveyGlQ4XOcQ3K/V44dFp0KTy4cV7x6AVa/G4imZguTKh6/Nx1MfHUF1s5f/NxMQtv/3954R2ZOyGbnY/FU1mED4pC+1gkKaRYsVpaOxZtsh/nuPzC3EA//ch+pmL1ItWiyekolfvr4HTIDF6tmj4faHBMIVy0pyYdYq8dmxBiyZmo02jx8FQyy4JNsGpZLGF5UNmJCVgFte+VZg29KtWl68K7qv1LS4cOulw9Ds8YPlACUN3HrpMARCHWPD0Xon7n17Ly9q1dWJZve8tVck9jSybFqXCZCRJMksmwGPzx+D+7fuE9Tjinf3o3RMGl78vArrrh+LE80u3Pm370RiWwDw4cG6cxLi6kx+qhlPLBiDygYXP7Zl2QyCxPtYtifNIp2E3+LxIy/JJFlnNS1u/j5j0syYPz5D8O7Wzi3A3KK0H4QYloqmJDdcqxX9KxbQEzLj9bhn5ghURLWfe2aOQGa8vlfu3+jySfo+g+XUjJ6O+wRCd8RqY3H6DiGOiM3OsOolRRUjNv7xDw+jbEauwCd4fP4YNLvD/a0736rzWPH+3jOi8SXTpodFp0KmTcf7GatmF2DlewewcMJQJBo1oCjAF+RQ0+zBxMx4PPjufoxJs2DsUBte/LwSJaNSBf7H6tkF2HHoLP51oBHLSnLR5GRQ7/QJBB4iQcQlU7OxYWclfIEQUi1hP+GuK/NgjiFcEup04CETYOH0BaBUQlRXq2bn48+fVvLXrizNh4IGXvy8w6dZflUeks1qnGj2oM0DJJpibBQ1SgcVo993LHGPjHi94N0vK8kFy3EozopHg5NB/hAzsmwG7K5pkTzNhOU4OJkA7B4/nv/5BDz03gH+Xa27fizyU82C9/zqF1WiOdbj88dIls3tOz9BJMKFi9MXwF1X5glOrojMCYD2OYn+/BLJXL6grHakVylw69RssCyAdgGnW6dmQycRp8hPMeGJ+WNQ2Ri2S+4Yz3DJaKsRfx4A3D4/hsTpYNCo4PYH0eL2Q6tWQBlVhNaYp6+H4xlZNgNuvzwH+07beZt5++U5knN9Kd/80esKBaI4Eb9SAQ5ev/D3jE42i2Jrj1xXiL9+VsWL1ADhe8kRLmfB8TYxIjBYNiMXvqC8WFNv0lORYDni4135dzRNXfQxG48/KBmb8/h7z8b7AiHROFs2Iyye/cz2Coy7eSJYluPfbXSfiAhNPbO9AoC04JK2fa7JBFj83/Em3DApE6OSzfx36h1MTBvk8QXBsQCojnvX2hn8dddxybnd859WCsbbVo8fQ+LC7UlqnsNyYQGupxYU4Z63hbGGNdsOYen0bCwqzsCW8hrcM3ME/rBwLO5+S9ze7F6/ZAwT4GAzqvHodYW8cHXneE69g+HtW0/6VLQ41JfHm3j7snX3adH7jdVPzto9ku2t1u4ZECGsntoYQtdcMv0K1NY1xPx7fUN9P5aG8EMhxHGYcs8LMf/+7j2lRChrEKJSUJJrmapBFHMlEH7IBFnp/QxBtv/nmNFcDOs5BMIPHRfD4rn/djp857+VWLdw7EAXjXARQ8YPwkBB5kUEwuBGQbNYM6cAK97tWItaM6cACgXb/cV9CBnXCITBT7PLh/JqO8qrvxN+7h7YvZjEvhAIhL6A2BYCYXDTkxzBvkSjlLYtGiWxLQTCYMHJBCT3hjoZefnpfQXxXQiEwU2TSzpXpFmmdkZfQWwLgTC4STZrJNd8k809OzhlQISwKIoaCmATgGQAHICNHMc9Q1FUPIAtALIAnARwPcdxrRRFUQCeAfBjAB4AN3Mct6f9XjcBeLD91ms5jnu1P39LLA7VOfgEWyA8EDz03gHkJRsxNsPa7fVtHmlH1S5TSInlWCgVCoFAy5o5BeAgb4Gxye0DRQFPLSiC2x+EQa2ENxCUvYBgbk8aLx2TBqp9nHl/7xmYdfISS2lKgbekTvKYJe8kDwoUhsRpsXR6Ntj2BNMhcVrQlLxBL1aid0KMRO/OWPXSirubZCruVjZ5sOHTCsHGtg2fVmBEihFFQ7vv9GatBlv3VIjqb0Vp7ESIziiVNOYWpSE3yYg6O4MUixb5qRbZgi8XajDnQiA6wU4uwSCLd/aeESWwxhLhiZUUG2KBh97tZJvePYDsBAN/78jnD75zAOMzrFAraNx79Qg8+Z+jgo3cKWYNaDq8IcntD4GmgBSLFiatEm98W8O3XwDYUl6DeePT0ez2SyaJOpgA7nt7H/KSjHy7NaiVSI3T4MvjLWACLOaNTxf1q4ffP8gLRUT+/fLNE7F1T7v98AWh1yjx/t5T2HTrJHxe2YQQC2z+qhq1dgZaFY39Z+yYlpuANiaI17+uxpKp2VDQwOhUMxJNaj4BsvPzbUYNHu0kLPXM9gr89cZizCpI5b+badNhzZxCqBQUlAoFdp9swvOLJ6DVHYDVoMLrX53AbdNy8IFEX9EqFfCFWIEtX35VHrTtKphaFQ2OE4paJZukT1pLNmliCGQxstoiTYftarRditRjZrwOW5ZOgUWnwqxnPpMU2+I48EnW0X8b8atpspNCaZqCgqIF9XHv1SMEifexbE8wKL3xZnK2FYGgdNKxXq3kP7tt+nA+oTW6j+QmGVE0tPtxvT/oy0RXiqKgoDiBX+DxB0Bh8Nj0020enG71isTrTrd5kJXQ88TkZFP3YgQXMj0d9wmE7ojVxmiaEoyBGVY9PjpcH1M4cVZ+CkammNDi9mHL0inw+EMIhDiseHe/QAQpltBixFYmmtR4bclktLh9SLHocKaTfbjryjw8s70CS6cPh5sJICVOD4DFTydlCoR0lpXkQq9S4KUvTmD5VSNg1il5HyAQBJ5fPAFtngBSzVrUO72YOz4DV+YPQYpZi8oGF5xMSHJ8ptpFK0xaFX7341FQK2mEWA4nmlwiQYgVpaOxcddxwT20KhrVLR4MjU/AlvIOvywv2YRNX1Tx8zSOA57bVYnH5o0RzJ2STBqoFQqMTjXh4Fknvq9pkwxIhGIILUe/bycTxAsS9rHOzgj8ik1fVmNYggGTsxMEvonNoBH8Bo4L+5ajUk248aU9gnpwMgF4/CGolZTAJ6h3MAiEOLz2VRWeWFAExh9EqkUHtYqStN0GDdEM7w/6U6RDp1bib99U484rcjAswQCNSoE12w7yc4JlJbk4X7fGqIlxWnmndhRiOdi9QVFwPtkk7kfVbR4wwQ7R3S1LJ0uL0Z3DCRfNbh9Ot3jx2yj78ch1hYjTqxD94w0xTl+PFkb3BzmBzVx3/VjJZ9I0hZmjkrFl6ZR2QWctKAC/euM7USLfTZdkYWgnv+OMgxHF1n73z/38HDBCeGG3e3GjWPaECabBwYTOSaS3J7As12ORYDni4935d7PyUzDiV9NQ0+KGXq3scZD5QsOgkY7NvbZkMoDesUFalVKyTd09cySYAIsvqprR4gnw77bz2GTSKDF2aBy8gaBImHtZSW7Uc2jkJpnw1EdHUJQWh9wUE4Bw7EdJS49lNoMaVU1uvPSfI4I4zOUjkySTaRdOGIot5TV49ZZJaHAySDRp8NR/jmDK8ETJ+0diETQtLXiZl2yCgqJw0yVZyE81IyvBiFGp4riHRafuiOG0xzC37T0FvUaB+7fug1WvxtLp2ciM10OvVqK6xY35E9Lx/t4zvF1iWQ47jtYLBPoK0y2YMSL5nN9pUtS8rtbOYPNX1Vg6PRvjhsYh02aI2U40CkWPYsG9SW/YGELX1NY1dClI9I+7/6cfS0MghOlOKOurp27rx9IQ5KJS0DCoFYL5uEGtgIom8TgCYTCgonu2n6GvUNDS6zly90kQCISBp9bOSIpS1zqYASoR4YfAxbAfgDB4kZoXEQiEwYGSUsIXDAn6sC8YgpIa2PV2Mq4RCIMfm1F6H7TNMLBr2sS+EAiEvoDYFgJh8HM+OYJ9DU3RiNMpBbZFQQMKiqxFEwiDBaNW3v70/ob4LgTC4EavUUpqf+jVxLYQCITzJyPegNxko2C9KDfZiIx48QHk58JAWaYggLs5jttDUZQJwG6Koj4GcDOA7RzHPUZR1G8A/AbA/QCuAZDb/r/JAP4CYHK7cNZKAMUIC2rtpijqPY7jWvv9F3XiTJsXVr0a88an84PB1t2ncabNK0sIS6dWSDqqWpkL/QpawYt9AOHkmxXvHpCdfKNVKfDszkrRYPb4/DGyrufA4o7Lc/BQ1Amoq2fnyxbianb7JU/yaJGpKtnGBLDu42N8+UMssO7jY1g9p0DW9VqFQlI9UquUV/8Or7SQmUOm4m7MjW12BkVDu78+P9WMmy4dhooGJ58AdtOlw5CfapH1/AhKJY2ioVZZz5TiQgzmDFYO1tolhapiifDESoptcDKSbbPOLv15fftmyhc+OyFIkvzjJxV4csEY3LapXGSnXrq5GIuKM0RiVzQNxOlU+EP5UVGS6No5hbDq1ZhVkMqLDUWEii7JtkGrokFR0smV0fu2mQCLFrcf108Yikh4jqKAK0emIBgKYWSKWVAnZTNysfmralySHY91H4dFLSL9Tqui8fLNxbwt7vx8lpMuj9cf4n97qkWLRcUZWLq5nBfFuuPyHPxi826+DPfMHAGXL4BJw2yivqKgab5ckfuv+/gYnr5+LC/S8coXJ/m/NTgZaJS0pP1SKqSTY89FpMdm0ODFz6v4e6RatCgryYFJq4JRo0KjyxdTbMvjlxb6qGlxyxbCOtHkxt1vCcW0nvzPUfzrV9MEyZxStudwvQPP7hQKDD67swJ5yeNQmBYn2V+SzR2L6V5fMGbfOV8b2Zv0daJrgI367Rx4rYQAN7An+J0L9Q4fL+ACdIjXjc+w9ooQVuEQC55YMAaVDS5+7B2eZMSYIec29g4kPR33CYTuiNXGom12VaNLUjhxZNk0ZCcaRTa+qtGFW175RjBvefzDwxiRbBKNLxFb+fiHh0W+yrKSXFj1atS2+0RPf3IMS6ZmY822Q3j2p+Px3KcV+M01o/H0J9+J7MjS6dkoHZOG+7fuw59uGMf7AKPT4vDtyfDUlKaAe9/ejxdvKsaPchLBshzqHAxGDzFJjs80Bdx1ZR5aPX6cafPCZtDw87tMmw5//ul4VDe7YTNpUdfmxcPX5uPh9w/yYmARHyd/iAW3XjoMzR5/2HfxB9vnWXZB3Zxt82L99kpBGTYunoC0OD0efOcAbpuWja27T4uEqzLi9d2+75NNLpGI1iPXFWL99mO84GjkmVa9WDg5y2bA/bNGCca4319XiIfbfZ3Iu1iz7RAvjqNV0figvc1E2sqP138Gq16N3GQnKCo8Z580LA4rS/OxaluU31SaD38oFPN3EXqH/hbp8PqDfF9wMUGs/ddhPl4jpz13hS8UlNWO/CFOID4DhMVnHpsnjrO0eYJ46N2ONt7k8uOuK/MEQnx3XZkHp0/+qT5qBc2LYAEdolJLp2djUlY8/z1Nu03sLHynUYVnWCeb3V3a6WhYlhOJG66dWwB/kBPFO5LMWmgUwphLdYtb0ge3aBW444ocQbwqTobwerQ9serVWFicjjuvyEWDk8HjHx7GyBRTv8QvzqUOYyFXfLw7/+5ovfOiFcvxB1jB3DXS5/2hEPz+ED452tDj3273BiTjH2fbPLwYeed3KzVf/de+s3h2R6VonJ0/IZ2/51MfHcGi4gycsXt4Iax0iw5VTS5J+xBgWb4fb/4qLPpt0SqQYTNg/fZKcR80abCoOAO/3vI9Wj1+vHTzRJRX23GmzSe6f8TPiGw2l/JlWA64563vsWRqNqpbPMhOMknGCLNsBtw6dbjgXWxcXMzHUWrtDNZvD4/tS6dn8/+9sjQfXLsgZ02LGxX1LpHocU6iscu5npQYmoIGHrhmJJrcfn5eZzOoMSzB0OW9HDFOX5MbC+5NesPGEAgEAqF/CLLhcSsvyQS3LwiDVgmPL4DgIIq5Egg/ZJo90vsZWj0De0qmLyi9nuMPEdtCIAwWkszSc+0k48UlYk64sLgY9gMQBidKmkKCSYN4g4afF9FU+HMCgXDh4/CF1107+y1/vbF4AEtFxjUC4WLA4w9KHrrsDXR/QFZfQuwLgUDoC4htIRAGP/15KKxc3L4gXvy8Cjdemg1wYfPy4udVWH7ViAEtF4FAkE+seRFD5kUEAqEHGNUK3H5Zjij3XD/Ah5QQ20IgDG5omsKMEcnITjB2md90rgyIEBbHcbUAatv/20lR1GEAaQDmALi8/WuvAvgUYSGsOQA2ceHslq8oioqjKCq1/bsfcxzXAgDtYlqzAPy9335MDJLMGtzyoyxewESrorH8qjwkmeVtTNKrFZKJhwaVvMGk0SktRtLo8sm63uMP4qeTMkVJVB6/PEeZAs2LYEWe/dB7B7HpVnlCXDaDWnJjV7xBLet6JhCCP8h1lIcC/EEOPr+8Qe+M3Yu/f10tOMH1hV3Hcfvlw1GE7oXMDBppITO5zkBijJNMEmRubKNpCjRFCxLA/rBw7IAHUgjnT20MoapYIjyxkmLLq1sk21ZKjM2UBrUCRq0KrR6/IElSq6Jxps0rWSbGz/KT7Mhn63dU4PnFE6BV0fjtNSMRDIHfwFSYNhImrQILi9NF16149wBevWUiVs3Ox9k2r2QZuY6uDq2KRrJZgwomiHuiBLVWXpsPnVqJIXF6/Pmn47HnVBs4Dtj8VTVq7QycjLTIkcMbxNq5hXjwnf38/SPfU8UQltKrFfxn88YLf9PiKZki2/jUR0fx2hJp2xhLWMrtD2Lp9GxolR1q/BFRq8O1Dkn79YvLhosCIOuuH4ssm3xFzWiBNatejRsvyRSMU4/PH4NMm04kapFk0qLR6YtRX/JcEZblcLjWEWNsY7oV04olMBjuQ9L9BQD/e/UaaSX1FIt8IbG+5GSzGy99fjz83n1B6DVKvPT58V5L5vf4g2j1BPHQe4cEfkGSb/AIhbj90v1crm/THUolDQVFdRp7i6BUklMzCIRzod4h7fM0OBlJe9bs9kkKUBxvcmFYgnDCfKIpLAqwZGq2yOd4ZnsFL6IU+Swignmk1oEbJmUKBDWiy8Zy4L+rVdHItOlEZXqodDSsejVcTIgXANKpafiDrGh8XlE6GhlWHR589wDWzCkABYr3awCgutmLVdsOoqwkTyAguqJ0NJxMAE4mhM1fVaPV40eiUY3qZjdvm5aV5Mgaj8P2MSQQUZXyB5NM3c9Pau0MNn1ZLRD3UCk4kXDyE/MLoVbS+PJ4k2AhmKYpzByVjC1Lp6DWziDVooOD8Qn8jeh3JtVm6h0MrHo1Fk/JFNT15GET8dwuofDIc7ukhYkIvUt/i3TYDBqcaPJg464q3DYtW7I9y51vd0ZBKWS1I5cvKGmvXD6xL9Li9gv6qUmrxN++Efajv31TjScXFMkuZyxhWpYL/62jnAHoVcLT1/UqBdztolux7HS9Q2ynpd7zg+8c4MVsImhVNCgAZx0Mxkddb1CLffBMmw7xRg3WfXJAMN9TyAi3RObJyUsm40i9E2u2HRK8ixa3r19EYs51rItFT8XHI+Ni53444lfTZIsVX8gY2k/D6mz/X/iMxqPXFcKoUWLVtfnQa5T4667j52WDrHoVtpTXiMS+54xN48Wi5LzbBJNG0i6NTDZhydRsPnaxfkcFXr55Iv+dw/UOGNTS9iHTNop/t7V2Bv/YcxqLp2TicK1D0hdIjdOBCYYwf0I6tu4+jTaPH9p2ATytksYfrx8Lly+ImlYP72dENptLiQG2ecLxDAWNbuf9aiUlsDnOGKJSLNfx36u2HcSWpVMAnJ/ocSxBxlSLBt4AK5jX3XVlHppcvi6FsMw6lWS9WmSI9PU2vWVjCAQCgdD3uHzSMdfEQRRzJRB+yBgl5qzhtdWBPSXTHWM9J9FEbAuBMFgYYtVg9ex80cGDQ+KJEBah74i5H8BPxg9C30JRFE63ekV7bFPMF8ZeHAKB0DWuGHsuXczAJmSScY1AGPwoKEpyHXatzAPR+wpiXwgEQl9AbAuBMLjp70Nh5cIEQ5gxMkWwz7xsRi58QWJbCITBgkapkJwXPXpd4YCWi/guBMLgxs4EeBEsoH1P9vsH8eJNA3u4AbEtBMLgp6f5TVIM7C48ABRFZQEYB+BrAMntIlkAUAcguf2/0wCcirrsdPtnsT6Xes5SAEsBICMjQ1bZPF4/DtQ5Ue/wIdmsQUGKCXqdPCEmmqL4BXogPBis+/gYXl8yWdb1wRALk1YpSAIyaZVCVcMuSDRJi9okykzsNGvVePqT7wTlf/qTY3hNZvkbHNLiLQ1OeUJc/lAQD1+bj4ejVCUfvjYfgZC8QSvVosUvL8tGk9sPlgMUFPDLy7KRbJH3++MNahxrcKHs7x0nuEaS5+RgUCux8tp8kSqmUSOvy9E0JJPI5GppnGx24+63hMmMd7/1PUal9k1S8Q+Z87Et50OqRRdThCeWerzUoKGkKUmRPUWMzwMhTiB+JEjYZoKYOToBP5syDK3uAOINKrz21Qk0d0raBsJt8NuTrfjqeCNuvCQLlY1uvm8OSzDA4w9iVIqZn5wDwNbdp1FrZ2D3BvHnTyvxwI9HY0XpaEGy8spr8/Hcfyv5+iibES6zlDP+yi0TUWtnEGA5mDUKpFn1GPnjUVApKFhiJCyadSr89bPjWDI1G0aNQvD8mmY37r16BJ78z1G+PPdePQIaFc3fKyKKESHZrJOsmxZ3AFWNLjS7faBAocXtQ7JZh2STVrJcJ5o82LCzEloVjSVTs/Hi51W8qFWTywe1sr0SubD4rVpJIdGkwdp/HcaSqdlQ0EDJyCQUpsWdU3A1WmCt0enDTS9/I6jn+7fuw8bFxVi6uVwktkVTkGxjyTIFIk82u1HR4JQ+/dYk3AAn1Se66kOR3yblZEV+r8Prx5o5BVjxbkfC/dq5BchPtciuv3PhXG2L3evHzyZnobLByfetn03OgsPbOyeP65RKXhwT6PALopOwL3Qy4w2SbSAjXr4YXFecaHLj7rf2dhp792JkirnXhASCQRYHa+28EEx+qpkIbRHOmf7yXaSQ04aTzcKxL9WixcLidDi8Qew+2QIWHGwGDS9YSIHC+h0VsOrVmDc+HRQF+IIhKKnw2JGdaOSf2+D04ckFRfAGpMVgqKghMSK2GRa2MqCywYkRyaaYwqFpVj3KSnKgUyuwanYBbn9tt8AerN52CCv+ZxQSjGp8eqwBR+scmJIdD1+AFSxQaJU03EwAbV4VHr42H2atCnavePNo6Zg0rN9+TOA7bdx1HHPGpvE+wpr2zV/R89I3y0/H9AWjiYhcKeiwsJdBrRD5YctKcsGBQ3ckm7UicY/7Z43AG992/G6DWoE6hw/3bd0vWggGgI8O1wt80d9fJy2+GRFI7ewfJJu1kqKrZ+1eSaFM5wBvzB2MnKtt6W+RjmCI4/32rbtPiwToVpbmI8ieX5DcyQQl21HnDd4WnQrfn2rG84snCOZPxZlise10q14w19IoafxiejZWbzssmJM5mIDo2s6+cIZVj5pWD2hKWsjXoFYIRMf1ahVe+uIQSsekgaKAEAu89MUJXnRLHyPRNyL8Hf38WPY2I17P3yNiT5hAEEM7+WXJZo3IZj18bT5++foe0XzvBZknSweDLEIcx9uzyD3W76jgRXX6mmSzFpk2HV/HAPD+3jOieU1v0NXYW93ilnw/NS3uC0YIqyd+C8uxWFmaj1qHV2T/H/jnfjy1oAin2rxQUMCtU4fhpc9PnLMN0ihp0ak4K0pHw+ENYNOXYfEqqTlrZ4KhkCgOuHp2AR754DBq7Qz/PSbAwu0LoqrRhXoHgyDLgQmEcP+sUThS5wDLAdv2ncEvpmcj3qBGWUkOWC4cX5k3Ph07jtThf6fnYPWcAjwUNbddflUeDp+1I8iG2+ItP8pCskmDB64ZiXiDBve8vRe3TcvG+3vPoHRMGuZPSOc3VTy5oAhb91SIxADvnjkSWhWN4kyrYN7f2UbRFHDn374TtMVYwp3RQuhMgOVF/BxMQOALAuHfLGUjI8QSZHxtyWTJue/GxROw+2QLCodYoJY46CDJpMGD/zMKDU4fPydPNGmQKEM0tDeIrle9WhlTpJzQwUDOiwgEwsXLudoWnWrwx1wJhB8yeg0tWjdaM6cAenXvxuzP1bboiW0hEAY9zY4ANnwqFN7f8GklRiSPQ3pc7z2HzIsI0VwM+wEIFwbnals8/pDkHlu5MX8CgTCwJBjVkmteCUZ5+6zlcs4xFzKuEQiDHoNGiRsmZogPlJeZhyEXYl8IBEJfQGwLgfDDor8OhT2ftejOe+Y6H8JIIBAubAxqBW68JEuUt6pXyTg5+BwgvguB8MMi1uHqnl4WnCK2hUAg9AYDKoRFUZQRwFYAv+Y4zkFFZR5zHMdRFNV9Vq1MOI7bCGAjABQXF3d7X4/Xj20H6vHQex0bF1fPLkBpQbIsMaw2j7QQTJtMQQpfkEUoJCxmKMTBH5QnhMX4g6LEzrIZuWCC8hJ67V7p8ttllj/FIi3ElSJT8ESjVMIf9AiEwPzBENRKeY46y3Jw+0PYuKtKmKjNyWtSKgUlKWTFi8t0g4MJ4rn/CjemPfffSjwyV57irkWnxtY9NXhiQRG8/iB0aiU2fVGFJxaMlXV9fycV/5A5V9tyvuSnmrF2bgEefEcowjMq2XxO6vFNLj82fVktaJubvqxGpk0v+fnIFBOAsJDSUwuKcKTeCY4DPjxQizsuz4ZpVCp+sXl3lJ3Mh1rBxUxYvP2yHFQ0uER906RVwu4N4MXPqwQ2a0t5DdRKGtXNXjz83kHcPj1bYBeUNLBmTgEanD7UtHiw+atqZNj0ku2/2eVH/hAzTjY1IcSBF6zRqmg8c8NYcZ8vzQfLsSivtqO82g4gLMaxZGo2RqaYkBmvw8lmt6A8iUY11AqKf1eR3x4pj0kjnTSuVdG45ZVvsKg4Q2C3/7CwCMuvyhOcfFg2Ixebv6rmf1dhmhkflE3jBdCUCg7XF2cKlPtXzy6AUsGh1s7wCfqXDred1wkDEcGoWHZGpaDwQdk0NDgZJJk6hNnS4/RIt+oE9ZVu1SE9Ti/rufUOBm+Wi0ULHr2ukBdDAWKfqHDliCTJPtSdkFXk9wJAwZA45CUbUWdnkGLRIj/V0mciROdqWyhQqHMwor41LKF3RJ6cvhgn+PkGj1DIsAQD/rBwLC8UGe5jY3utjqqb+1ZIIBhk8c7eM6I2PLcojYhhEc6J/vJdOiO3DUcLcFr1atx4SaZgU1PEP7h/1iiolRT2nbbDqldj8ZRMwfiwek4BrAY//9w/7ajgx9nbpmVLjseRYTH6OcuvysOjHxxGq8ePS3NsknOELJsOv/nHflQ3e7FxVxXWzi2QtAdGrQrL3/oe1c1eaFU0shONePGzKl5AI/J7130i3MRFUR3+RKpFi3nj05GXbBD5DWUzcpEWp0VZSQ7GpschN8WAvaccgrLU2hls+rIaTy4owtF2v27Tl9X43Y9H8mIZCgrISTJiVJIJRxqduH16DlZtC5dv6fRsZCcY0eRi8OLnJ2XZ0AyrXjQGD4nTCYSD7rgih/cDI/W1/M3vMeJX00BREC0S//af+/CXn43nxXAidbXpy2qBEGd0u8pLMonei90TkGwLtl7emPtD4FxtS2fRO6BvRToaXR1i3bV2Bpu/Cs99RqWYwALY9EUVfnvN6PO6d7xBWlTXalAJvhfiQijpNH9aNTsfLMSLBtkJWlw5aojgu2vmFOCh0lE4a/fxAjSPzRsjuE7KF147twB/2lEBf5ATiUo9VDoaNqMaQbbDp3MwAUn7EhGUiYgLdRbu5jhO9PyV146SrBuLViWYFxjUCqTH6zEqRWhTMuINyE02Cr4bCLGSNtbt794v9ftDeGffWZxu9fTLAk4sMqx6/GpGrmhMzLDKmxvJpbux1xBT1GzAz03g6YnfQlMUnttVif93WY7k+z7W4MSzOyr5MeTXV+aesw06Y2fw96+r8eefjseeU23QKmkEg6ygn3Uek6TQqpSiOKDX50erx9/pezQ0KgV+vP4zMAEWmTadqC09Nq8QQZbDjS99I+jDSSYV0uMysOyN7/gxPcOqR6PLh0SjBi//3wkca3BhydRsrPv4GDbfOhHe9npiAmERwc7+VtmMXNz79l4sKs7A5q+q2wXXwr4Kx3F49ifjwARZDDHrAEjbqEevK4RVrxYIfr1Zfhq/v64Qv/3nftE4H10XkQMfbAaxz7isJBc2Q+zxvM4uHdNockkf7vDNyVa88FkVVs8pwNwxQ0RiWOlxemhVCsGcfO3cAtkxj57Qle2P+J1y2uEPjYGaFxEIhIubc7UtTiYgOe4QcWYCYXCgUSigVlKCOataSUEjcz+DXM7VtrhirOe4B9F6DoHwQ+esnZEU3q91MCjqxeeQeREhGkcM37TzgQ8EQnf0lu8ymPaiEAg/ZCx6Be64PFe0z96iH9h5ERnXCITBTzDEQa9SCOIuepUCQbZ3py7EvhAIhL6A2BYC4YdFf+Vv9tZaNLEtBMLggaYoxBvUgnlRvEEtOgC9pxDfhUD4YZFlM0jmD/T2HmNiWwgEQm8wYJlNFEWpEBbBep3juH+0f1xPUVQqx3G1FEWlAmho//wMgKFRl6e3f3YGwOWdPv+0N8p3oM7JL84BYYP50HsHkJWgx6Rhtm6v18cQO5GbTKZTKfD7D4+Irt986yRZ12vVSmwprxGI2mwpr0FxlrxtUSatdCKnSaPq4qoOaIoSJVguK8kFTclztH0BFo/+W/z75Z725fKF+GcD4ff3zPYKFKbJu15J07DolHhqQRHc/iAMaiVoGlBS8oQmvIGQ5MY0b0BeUmWWzYBbpw4XCbnIdSb6O6mY0PcolTTmFqUhN0kowlPT6ompHp9lM+Bksxv1DgbJ5rAgUYpFi1aPX9A2I8mDUp/H69U42ezGmm2HcM/MkaApgAVwTWEqdBoVlr25r5OdPIhNt0ziBSyikyM/PFCLiVlWyb753M8n4OF2UYnI5+t3VGDDT8fDrFWiONOCGy/Nhj8YwrBEA443uDB6iAV7T7VixbthYYZ549Mxf0I6Ek3SQnwJRg3sngBqHT4+MTHyrINnHXj3+zNC8bpdlXh8/hjBvWrtDF78vAqv3zYZTJDFfVv3i56z6dZJ+NOOCmxZOgWBEIvsBAMeaE/eNGgVkrbRqFaidEyaSHH/7rf2YllJLpZMzUZGvA5n2rx8cmnkeXnJJsG7VtCU5Pi1KWr8iNgDluVEbUSuOFYsO5Ns1iI70SgK2p5u84DjWBRnWtHiDiDeoEKbx4fTbR5kJXQf4E02h9tuRLSAosJBnPEZcYIyxzpR4YOyaZJ96FwEhJRKGkVDrSga2v13+xunLyjZtwrSuhb6kotFJ+0XWHTy/IILBY1KmJSiUfVeAFCrpiXrSN1LIlUHa+18gjsQfscPvnMAuUlGFA219sozCIS+RG4bpmkKs/JTMLJsGuodDG555VuRf7BkajaWv/k9358XFqeLxtCH3j2AzbdO4p+7ZGo2/52tu8XCivdePQJDrXosvyoPWQkGnG3zYM7YNIRYjh93Gx1+SbHb+68eiepmL//sUy0eSXtwvNGF0jFp2LCzEkyARVWjC8caXPj719V4ZtFYaNUKXvQmcq9ntlfgzityeGGuiDjNkwuKJE/qeWJBEdZvD4t6vLZkMpIk/KJWjx+RKCLVnqBn0CgFwg3Lr8rD8RY3aFC82E2tneHvvWRqNlo9fsTruxeMqmn14E/t7y1Sb7VtXkG5KAqSQcuaFje0KoXk37QqBbYsnYK6dtENk1aFcRlxAiHO6HY1KtUsqguVQnreqpA5byWcP9Gid+cz5z1XLHqVpF//4k3F+OZECxZOGHreAmiKGPGPzu1IQSmw8j3hnGflewcFfnqEw3VukU+/4t0D2Lh4Ah7450FeGMuiFcaYpHzhiA3csLMS/95fi6evH4vDdQ6EWOD5Xcdxw8QMTBkWz9/DqJGOJ0VEtyLiQp3nTutvGCd6/pA4vahuVs/Ox592VGBaXhIoCgixwF/+W4W7rswFOAqJpiDfh2mawuW5SUg0atoFdnTwB0PSwmMy7NG+s3Y89O6BmIKIyeb+iZnUtHokx8TxGdZe3fzS3dibbNZItt1kmSL2Fzoefzg2d6rTmAOE33eo/Z+R8favi4vP2QbZDGoca3Bhz6k2vPBZeByNCGgraKBkZBIK0+K6nWfbDGosnDAUlQ1OXpRy4jCr5Ps50ejif0vpmDTRO65qcotiHut3VGDTLZNw48vfSI7pv/3nfiyZmo19Zxz8mNzqCeLpT47x/SUiIvjEgiJUNjgRYsHHJyL+2T/2iMWyfjNrJI41OlGQFidpox74534snZ6N9ds74lGtHj+GJRh4X0+rpKFXKXhhsIivwgTDcVYOkJwPv37b5Jh1rlFKz99sBnVMcfeIj5mdYEBxVrzgfv3Vr6WIZftfWzIZTS4fUi065Keaz0sMnUAgEAh9S5xeetyJ0w+umCuB8EPF5Qvhfol1wldvkbefo68wx1jPMQ+y9RwC4YeMzSjtI8R3IfhMIPSUWL6phfimhD4mIYbN60rknkAgXDi0eULd7lMcCMi4RiAMfhJMGry09QRKx6Tx+wpe+uIEXr6Z2BcCgXDxQWwLgTC4uVDzN4ltIRAGP23eAH77D/F69MbFEwawVMS+EAiDHZWCwvKr8rDu42OC/DGVYmD3GBPbQiAMfnqiVxGLARHCoiiKAvAigMMcx62L+tN7AG4C8Fj7/78b9fmdFEW9AWAyAHu7WNZ/ADxKUVQkc3omgN/2RhnrHdKnv9c7fLKu9/iCouTqshm58PjlqQ82uny8sEskd3Lr7tNocsl7fqsnwCdJRz+/1ROQfb1U+Vu98q4/08Zg05fVgsTITV9WY6hVj/GZ3V/v9geRl2TEbdOHw+sLQq9R4q+7jsuuv56eFuYPslj+5t7zFiLLjqGKOUxmQl20AECDk5FM5u6K/k4qJvQPUiI8sdTjW9w+HKlzitrAlSOSsHZuAZ+cp1XReHLBGDCBkGSfD7Asmt0+LCrOwL1v7+X/tqJ0NFo90iqrDS4fflyQipFl01Dd7MZ3p9qw+atqzBufDicj3Te9/pDk5x5/EEYtjRsvHcYnhJ5q8WB4khGgQkiP1/NJnBERr0lZcXj42nxeWEurovHwtfnwBYP4v+NtYDmx0ALLQVK8zukNSvYlu9cPJsBKlrnJ5YM/yIEJsGA5DnnJRiwryYXbH4LHF0SKWSsQ4kkxa2H3+aFR0pL3M2kUSLPq4Q+GUJQeh3e/PwMAfFkyrHp8eLCOL+PziyfwthcIjx21dgYNTl+X10U+n5WfEtPWRDsiKWYtHrmuEL9rF/nSqmisnVuADKte9N1ksxYeXxBuP4f7tu7mv7/y2nzYZY5L0XZtw87Kjt8RL7Rr3Z2oEEvIqi+crP6ECUj3IUamAGN3tHoC+O2skWj2+PnE7Hi9WrZfcSEQEfWLbI5gOWDNtkPIThALt50PGoW00J22l05/r7VLt+06O3NBirMRCJ05lzZM0xSybAZU1Dslx7SIQAPLhT+7b9aIGLbfBwVNgQmwAqGliJBDtNCkkqJQ1eTCuo+PCe5z54wc/r/dvqCkvxAIsbjjihy+nPtOteHPPx2P70+H/Y73957BouIMbP6qGvMnpPPXvVl+Gqtn5+Oh9w7iF6/twT0z86RteTAs3vXbH4/Cfe3+2Ikmt+R3Tza5+f+ubfMi0awSjddr5hSgrs0DIGzP7545Aht2CsUj1n18DKNSixEMsZLzUgUNrJ6dD726extX7xCfXp9q0eLR6wp5sVAFhZhC0rFETiPim9HtZ1gX9nxYgniOlGDS4i/bDonmrblJfStYQej5nPdc8fqlYzRNTh+e31WFtXMLkB6nP697N7n9kvGPzu2o3iEd55GKM8WKSdm9Adw5Iwc0BfiCIbgCwU7XiW2tVa/GyBQT7pyRgxHJJjz24WFevA8Ii8cURImOa5Q0br8sB6ui5lMrr82HVhUW9/T4Q/AHOw7loCjAH+Tg8Yfg6TSvczIBUd1Y9GHhoH1nHPz3tCoaWrUSdQ4GN738DT8vAYCPDtcL+u0zN4zD7348Co0uH++XJhg1aJMRr6prrx8pQcT+jJnEmrPUO3r3FLjuxt6MeANyk42C+WluslE0xxqsRDYZbd19GvfMHIGnPjoq6P+bv6rmv8sEWLj9wXO2QS5fAE8sKESiUYPMeD1WvHuAF9pbd/1YWSJYAJAep0e5olUgSjksYYykbfl1SS5/nZSQpFTMgwmwaHb7kZdk5EXogLANityDojoEn7QqGjqVAla9WtBfau0MKhucAtGqyP0VNDBvvFic9LEPj+CVWyaCZTk0On24bVo2/+xaOwOrXo3iTCvKSnJ4v+n+WaNQ52AEz4kIjOUlG3G2zQuNgkajkwHLcmiIYTObXf6YdW5n/JLjgi8ojgNFt5dIX+1MvYORtPG9fbqjFLFsyq6KRl7wrLt4D4FAIBAGhlgxVzm+LYFAGHganNJ+aGQ9bqCIuc9jEK3nEAg/dDRK4In5hahsdPM+wvBEAzQDdtQl4YdATN+UjB+EPqbFE8BDpaNQ5+iI+Seb5cX8CQTCwNPTffZ9BRnXCITBT5bNgPtnjbrg8iCIfSEQCH0BsS0EwuDmQs3fjLVeRGwLgTB48PhDknsSPf7eyRM8X4jvQiAMbmrtDF7+v5OC/ekv/99JjEm3ICth4PKoiG0hEAY3LMuds16FHAZqm8yPACwGsJ+iqO/bP3sAYQGsNymKWgKgGsD17X/7AMCPAVQC8AC4BQA4jmuhKGoNgG/bv7ea47iW3ihgqkU62TbVrJF1fZxOjS3lNYLBYEt5Df6wcKys69MsOtzyoyyRqmKqRSfreqteJfn8JxcU9cv1yWYNWj1+QbJzWNFaXv2lW3X4yeRMPtE7kng5JE7e7zfrlNInnWrlNflYAj9yN4gOSzTiDwvH4u63OjrsHxaOPafEJ5qmkJ14fuIc/Z1UTBg4YqnHAxQ/YADh9rv8ze/xQdk0zC1KQ26SEXV2BmlWHaqbvSivbsU7358R9fmr81Pg8gVEiYxrth3CyzdPlHx2ilnLt98smwHeAItWT1joqcHBSJ/kF+OEPw4UlBSNM61eQULospJcGNQKHK1ziq4za1U4w3kFybwcx8KkUfFOcOdrYokvWPQqjB9qxZalU1BrZ5Bq0WJUshm7T7VCpeAkrzFpVbjxkkzc9PI3AoGoN3ZUYFpOAl7/ugI3XpoNrz8IvVqJV7+own1Xj0JuklF0v+JMC8x6tUAE7J6ZI2HQ0Miyhev3ZLObf9epFi3cviBe/LxKEKzcUl4Dm0GNN5ZO5u1B9HXRbWRk2TRJu9PZEcm06fDrK/OwrCQX8Xo1DBoldBoaZ+weDLUaRE7Lo9cV4rn/Vgqet+r9g3jllokyWzugVlKC96pWim3a+Zyo0FdOVn/SUwHG7kgxaXC61SPoh/dePQLJMsf1C4GIqF/nYH6L29crick2oxoGtULQRg1qBWzG3jmpNNWik7a5loE9LYRAkMu5tuGaFjea3X7JMS0i0EBT4SCcRaeSvPcQixZMkOXFW6K/ExGpWDI1mxdYfKrTXCciBhGh1eMXPSfTpoMnwPLlzLTpcPtlOfh/f9vDl3tF6Whs+aYmfL2SFtwvI16P5VfmIifJBLc/hGUlOXizPCwMEV2GiPBE5Nn+ECv5m31BtuP3x+lwqtWLv399Ek8sKALjDyLDpkdNsxvrPhGK9pWMSkF5tZ2/FxMIC5XGGZS48ZJMkchfdqIRj35wCI/NG9Ptu08yaZFp0/FChEBY5GLc0Dh80D5fMWqUMGiUgvnvspJcJJs1yIjvvUXizr6ERauUnLdqVb0jYkjomp7Mec8Vm0E6RrNwwlAwARYPvnMA4zOs51UWvUohqx2lxWkl+1NanNgOJpulY1JmnQrP7qjk//3STcWdrhP6wqmW8DOjRY0jgi4RO8MEWLijRMMd3gAMKgobF09AqycAq16FNrcPjvakkxSz9O9IMWvBckJbm2QSx4Zmjk7AE/PHoLLRxc/PshMN2Lb3FG790XDBvASAaM6iUVJQK2mBX7pqdr4svzS1vX6iBREVNDAtJwETMuP7zffXq6VjVnLEBc+F7sZemqYwY0QyshOMF2XsKLLJ6KXPj8NmUPP2Pz/VjMc+PMz3AaA95nsefnWqRYuKehe+rGqBkqbx1MIiKGkKSSYNxg61yq7LmlYPL1gOoF300iVpWwydsl7lxjdONrvxk8mZWPX+QVj1aiwsTsfdM/Ng0CiRadOBpsD7WstKcnGiyYUbL8nEpi+rBf3lkmwb3/+i7z8h04q6NmlBJiYQEs25y2bk4sMDtbimMBVLN3cIZj8+fwyuHJGE3adaJX23O6/IwVMfHYNWReP1JZPx4cE6sJx0fCa5izi+zaDFlvJDonHhRznjcOnwOIwsm4bKBhcOnLULbGZEjLMzsWxjcj+c7hgrDhJq/2d38R4CgUAgDBwp5hgxV+PgibkS/j97dx4fRX3/D/z13ju7uQ+ScAQIBJAEwiViK1bBA1sEVDxaq/X6Un+tQrVaW6uoaA/vSrVa631VvK9aTzyrqHiAHModBAlHCLk2m70+vz9mdrPHzGY22d3ZCe/n45EHYbOz857Zmfd85jPzeQ87mA1QOXfXej9EupS6bPjXN424aX591LXIqcPH6hoXY0y7QJCwt90b10YYXNS7Qv6MaaF2P4DexzXW/5Xn2dHc4Y3r8x/A50WMGUJFvl3xXoBE/fMZiYuPa4wZXraOg+D8whhLB84tjBlbtrZbSl02/LkP45oZY/obWOhQqS+g7xgybrswZmzl+Q6V2h+cWxhjvZdsvQqtTD2/JfWEEB8KIUgIMV4IMUH+eVUI0SSEmCmEqBFCHBMqaiUkvxZCjBBCjBNCrIz4rAeEECPlnwdTFaPNIg1WiRw0vWhmDWxWbavMbAIuOroG93+4BXcu3yQP1KmBReMa9wWD4UYqIH3ht725Af5gsIcpJU6rGb86amTU/H911Eg4NQ7ozXOY8euY6X991EjkObRNHxQBXDenNmr9XTenFgLa4u/oCuC6l9fGFUzRWrHWTISrfnIIFs4ciYtmjMSimSNx1U8OgVljR0KO1RSOPcSh8Joak4lwQl0FXl04HU8uOAyvLpyOE+oyW1AlNKh4WnUpqstyde9EYekRGtgZGrS5cOZI3HjKeGxr6lB5CrEHFosJ9UOKcHxdJZw2C3779Fd4auUOnD6lKmqfP+PQKphNUgVppc8KimDcfr5kTh3qKvLD7wt16r26cDqmVRfjkRXbcNlxo6Om+fNJ45DvMONPJ42Lev2a2bW47/3N6PAGwgMJQ/O+4+2NsJpNeGrljrhcHRDAPe9vCQ/4C8r/D0KqfF3stMVNU+Ky4ZJjRkW9tnj2WLR0+vDG+t04/d4VuPCxL3D6vSuwYtt+3PrGN3DZzIrHCZfVjE5fABdMr0ZlgSM8sH7pGRPh8fkxY0wFfvfMKlzx7Ne4/JlVmDGmAp0+P/762nosnBH9eZfPOiRcBOzO5Zvwz/e3YEezGwUOW3i/3t3aPdD05EmDceXzX0etq6XLN+K6OXVw2sxR+SByuthtRElsQ2T2+EF4fMU2DC1xYWdLJ77Z3YYlL6/D5w0HsHVffKPlyue/xuzxg+Lm19TuVZyf0vwveuJLLH17E+5cvglL396Ei574EtuaOqLeF7lPhNZjT8Uy1BpZsZ+dzYaWuHDDvLqo5b5hXl3KniThDwrc/Pq3Uevo5te/RSAoepgye9jMpriifkuXS7kkFaqKXRhYFF2wc2BRDqqKU/Md1FbmK37HtZUFKfl8xtJNyzYcDAps2duOjzfvw57WLix5ZV3cPvv7WYegwGHGTaeMx4TBhbjyhNHIsSqfuxERbn3jG1wzuxYvr9oZd5xdOKMGz32xI/z5oddD/14zuxavrN4Z/n+O1RzXjrnmxNqo85bZ4wfFncdc/8o6HDVmAC49dhRsZgpP++eTxuGpz7aj0GXHr574Ahf/+0v88/0tOPeHw1BZ4Agvx3Nf7IDDasKEIYUYWpKDXx89EjazCbefNgFDS3LCn7d49ljkOcwYWpKDhTNq4PYFcPtb3+LE8YOwaU8btjd34uPNTfD4gihy2sLx3fH2RgyJGUDjsJpQ7LKCBCm2wzbubkNDUyc8vp7Pzyxm4MIfdZ9b3vfBFlz4o5EwmRA+XxlbWYDqMhcWHFmNi2aMxIIjq1FTnouqYldUezJ0btWbYpVKbQmrhRS3HbvG8z5mJITfHDMKocO+xQT85phReGNtI4DQk4mV28E9sankoNjtSAgo7k9CoTlVVWTHkjnROfP6uXXY2ezGRTOkfo4ipw2tHn/MdM6oXHvqlMFx81y6fCP+8ONDwp8ztCQHRU5r+DNK8+xobPNiwaOfY9GTX2HBo5+jsc2LUnnQSZvHp7gcbR4fzCZErYvNe9rjcu9phw5FY6sn6hxnd2sXzpw2HBY5R4bOS5TOWbp8QVzzUnSevealtfD6e+5vGjewAEvm1oWLYd3/4RYMLnKiflBhRvtMvIEAFs6oCef0hTNH4vbTJkAobQx90NOxNxgU2NbUgd2t2XMDTiqE2hOfbG3C2Mo8/P6EsfjD81+H8/+SV9bhzMOGxu1fh5Tn9/DJ8Tq9wfB+6A0EsXF3G/a1S085V1uXke2dLXvbEQwKxW39qZU7cPXssXG5pdBlDb/28qqd4W061CdUMyAPf5o3Lq7NAyBcBOusaUNx7/tbcNnTq3HJsq/wq6NGYnpNCUwmYO6EQXDZzCgvyMGTn23HqVMGh/cXh8Usta1OrI37/PW7WvF9S2d4u47MMXaLOe6ce+nyjfh/R42MyydXPLsa63e3qs7n8U+2h9/b6vHh0qe+wr3vbca1Me/t6VyptjIfF8+I7ru/eEYNaisLwn2qR9WUYXCRE81ub/hzl8ytw/iB8Z+bKDemm1I/SGQ7NxTPnjaP4vbHGDs47G5sxLBRtQl/Dj/yaL3DPOj4A8p9rn7Oz4wZgsNKivdDOKz6nlfZLIRTJldFXYs8ZXIV7AoPl2GMZacOb0CxjdCh8xO+Wf/WH+4HYMbkCyj3+fs03iPLGNNXjtWseC+A1vvU04WPa4z1Lym+jN4nnF8YY+nAuYWx/iOb2i1mE3DmYUOj7o0687Chmsc1M8b05/ML5foCAX2TDbddGDO2YSUu3PmziVG1N+782cSUjUHuLc4tjBlbsvUqtLL0/JaD085mDx75uCGq8vEjHzdgeKkL4wf3PP2BTh8sZsKCI6sRFICJAIuZcKBT2+CXve1exS98n8aCIbtaPSh0mPHgOYdib3sXynLtaHV3YVerB3Uapm9q70Kuw4Jb5tejw+uHy2aByQTs1zj/QIDw+bZ9eOCcQ7FPnv/zX2zHoMIhmqbf3dqFIqcNJ08aHH5S0LOf78Du1i5N09ssJljNprinhdk0nrE77RYsmlkTHsAUGmyWa9O+y4QGTfWlUh1jPQkVBhi7aDq+2H4gXARp0cyRKk8hjq7MGjq47Grx4NEV3TlvdHke/vzqekwYUojyfIfiZ+U5rKguM+FBeT8vzLGhKxBAY7sHwxy5UTFWl+WiqaMLC44cgXvf34zzj6iG2QSMqcjHAx9uxm+OGY2fjK1AVVEOGlu7UJprw9Ofbcfedi86ugKK+aDDG8CuFilXP3zuVASFQEAItHR6cfqUqnDBm9AAwNZOL3a1ePDAR1tx5Y/H4tZT62EigsNqwpXPrwGAqJyf57CgxGnDz+7/JKoBvbJhP1Y2tGBvexecVnNUnndazdjb0YWlb28Kz/fRFQ3Y1eKB2xuAzWLG8tBTmLv8cNqlpzBPrCpEQ1Nn1HcgBNDlUy4Cdu9Zk8PrN/L7IYLisaOl0weXPfoGd7XvVa16b2xDJM9hxkmThoQHs4aW9463N+CaE2sV44itN+SwmlCmsSpvooZQbJ61WaTjr8VkQnWpCxYTYeu+DgwvVR7YncxnZ6utTR34+/KNUdvP35dvRP3gQtSU5/X58/e0dSmuo73t2o7L2UCtqJ/WIps9MZkIM0aXo7o0Ny1P87BYTJhXPwg1A3LR2OJBRYEDtZUFsPDVCGYQPW3DwaDAa2sbw8eVhTNHKu6z/qDAbW9Ft9F3HlA+dxtS7MTKhhZ4/Q347XFjQBB44JxD0dbpw9pdreFjNCAdkywmivqMf3/agNnjB2HUgFxs2NOOe97fAgBR7aV137dGxal2LB5cmINObwCDi3Pw5ILDMCDPARNJx6DFL66Ju0Dxz7Mmw24xIcdmxuCiHBTm2PDyqu9w4ZEjcd0ra8PLf8O8OuRYzfh2dxv+vnwTmt1eXD17LJ7/4jtUl7lwxqFV6AoEo86LLj12FM4+fChufO3b8DyJEG4XhCrnl+basXWfcnFVj196X7FcUCuRxpYuxSLHD587FUNLpONsTzk0FedWSsf7A51+xfacu8uv8inMqNxeP/bHPFH88uNH44RxlVi9sxUOqwlOW+9uyHZ3aduOGls9GDUgFxccOSJ8LvCv9zejUaEA1542H4pzrbj3rMlodvtQ4rJhf0cXrn5xfVT+iyxgBQDbm91RbcKaAXmK+/CmPW24c/kmuZhxLXLt3X0d7q6A4oXTiUOmhpdD6TMbW7vQ4Q1E5ePSPAdueeObqNzq9SkXfr/7zElolPt8Is9LYs9ZWj1+xfnvbuu5XWqzmTFv/EBUl7qwp82D0lw73F4f1u9uQ21lfsbaVSUuO5Z/04gFR47A9XLRR4fVhBtPGY/xg0VG2o+xx91QAeHeFBrMJkrLdfP8+qhtZleLBw/+bxvu+flk7G71IMdmwSMfbcGEIcmfO3kD0vlE7HHWGwgqvl8pvj+fNA5Di51x23qz24vBRTlxucUEgVflJwj6/AL7Ozrxr7OmoNnthclEuPe9zWjx+PDPn0/GZw3NEAJ4dEUDTpk8GB5fECdPGhxXIPial9bin2dNRntXAEIAd7+3BadOGYzTp1ThkMo8LJw5EoEgwm2nve2bcNup9VjX2IYjRpTgiudWw+sXuHbOWFQU5ISP+6GioV6/8rmYLxhUfH1Xiyfchrvt1HqAgG8a2+Labk6bRT4v9cIXCEatq0KnNeG2nGj/8PuDWLurBbtaPKitzMMTFxyGXS0elOc7MH5gAWwKx4vvW5Rz4/ctHozX1h3ea7FPlsyxmrHwyS/D6wqQ1ldFvqNf7veMMW0CQmDaZfclfM+KWy7IUDQspD/0uTJ2MHN3BeC0mcLn7kVOK1o6vSm75tBbLZ1+xb64+86eomtcjDHt3F7l/q9OLoTF0ojbpkwvu1qUt71GjfeIMsb01erxKZ5/PPALfc8/+LjGmPEFgwLLv92N1TtaEBSAmYBxgwswY3S5rte1OL8wxtKBcwtjxpat9+HtbfeiIs+Ge8+ajP0dPhS7rDjQ0YW9GscFM8b0p9ZG2KPhful04rYLY8bn9Yuoe99vO22C3iFxbmHM4JKtV6EVF8JSkeewwBbxVEwiqbBG5ODARJw2Cy587Iu4L+yR86Zqm7/doviFa51/icuGlQ3NuO2p1VEDsaYMLdI0vdVswaVPxcf/0Lna4s91WDBlWCnOe+iz8PyXzKlFnkNb/IMKHTj78KFxhagGFWrb4INBKD4t7PHzD9M0vd1sQkWBI2oAVUWBA9YMFpsIBgW2NXVgd6s00CqVxTRY/xHaTrY1daChqQNFTht2tXjw1ModccXcbjttQlxl1siDy64WD+56RxoMff4R1Wh2e+G0mTGsxIXbTpsQ1zHn9Qdx1v2fKeSJQ1FV7Irbfgfk2dHlC+Ky48bAZTOjoakD17+yLlwk6pW1u3DVC2uiBktOqy7BgDwbzv3hsPBg6VA+G5ArFV5odnvDxZR+vPQDPHzu1LhBnUuXb8TD506Fw2rCZceNxpa97ejwBjCmIg/fNrah2S0VH7zrnU3h5Vg0swYlLltcA7rYacXCmSMBAJ2+AHKsZnR4AwgEgQc+2oq/nDw+ar7nH1GN+z/cAqfNjPYuH848bBg27WkLX5w987BhEEJartB3EIph/OAJysUnIl6L/H5C08V+J5v3tqOyoDTqc9S+V7XqvbENkUGFTlz+zKq49Xz+EdVwqRzD6gcXRhXZuObEWpTnayuEpbUhtK2pAxc98SWKnDacNW0oLpNjTNShnK5GViZt3dcBr7+7wjGRdFK6dV9HSgph5Tv61i7JBmrfc3l+6r7nYFCgzePDAbcPOVYLgsHUFTIApMHa9UOKUJ/mgdSMpVpsu3bcoMK4fWNbU0f4mAQAQaF8TNu4py3q2BMqENns9oaPoaH3lufZsXDmSAQFsGF3G579fAea3V68tmg6AkJqQ4Teu2hmDbbt78D9H26JmueGPe24eX591OuR7aXIAlKR8479f8P+Ttz/4RY8cu5UTK0uCa+XoSUuxWP9Z9uacd8HW3DNibWoKLDj/x5difOPqA4XwQq976oX1uCW+fV4euWOcLGD619Zh3+cOQltnV4ML3HhNxHrNVRw5vaIjkqH1YQilzXq3GdoiRNVxS4EgsrLYyLgkmNGaXoac4fKoB23N7pIUF+KXWk5d1I6DpgAvLx6J87+QTU6vX44bVKR0qtn1yYdA0teJs95gwKKT4i4/bQJ4YKuPpXCNT0pctqx+KO1mD1+EIgQPi9YesbEqPcNLsrBTw8bit9FtE+vObEWg4ty4j6zwxvARU98GY7310ePjMpDofz3WEwf0+5WDxqaOsP58PLjRynuw6FF9fiCWBzTV7K3XbkweegiQonLrviZxS4brGZTVD6uLIjv27nt1HrFnNDU4cXgImfceUnsOcsQhYJBUttd23mFzWbGhMGF+O/aXfhw0z75vKwF2/d34ITayowUwxpW4sLCmaOx4NGVUd/pFc+uxrhBBZrzoJZ9SK39GHvc9fiCuPSprzBm4XTDFANWorRcRMDQkpzwPgoAL6/aCXeXH9v3d4IImDaiDDsPuJM+dwoElZ+4pTbAQym+K5//GjeeMg4LZ9TEFfT+rqkDgSDickvoeLlm5wHsONCJK+RtyWE14ZrZtfj3pw34YrvUlojdV9SKdu5p7cKdy7v7IwJBYOnyjXjwnEOx9O1NUe9vaOpEW5cfL6/aiSNGluCKWYfg0qe+wp6WLvzpv+vjBrw8et5U5fYESPH1ygLpmL16Zyt+9cSXqCxw4P/9qBqnThkcdaN7eb6Uj06eNBh/enV93Oe82sP2bDIR8hxWuL0B5Dmkwll+fxAvrNoZ1T91w7w6zKsflDA/lOUq58bSXG25qa8i21HBoAh/J5H9IYEg+uV+zxhjRtYf+lwZO5jZLWbYzASr2QQCYDWbYDMT7ObeFdpOlU6fciHaTh8X0GHMKHJtym2E3hbyZ0wLbpsyvQwsUL6PoyKF93EwxtKnrUv5XoB2j77nH3xcY8z4tu/vwMbd7VGDMhfNrMHIslwMK9XvuhbnF8ZYOnBuYczYsvU+vAF5dmzp8mNlQ7N0v9U+YFipCwMydC8TY6zv8lTaCFrH56cLt10YM7ZtTR248bX14fFwAHDja+sxpiJP17YL5xbGjG1YiQt3/mxi3IMN1OpVaMUZQIXLbsKFPxoZ9wR7l13bgLh97crVB/dprD5oMSGuiM2imTXQOh7P7QsoDsS6X+OTdtTib9IYf6fPj8UxhagWv7QWD52rbf5BIcLLHpr+jrc34rHztRXiChW1iY2/uVNb5eo97R74fAGMGpCHDq8fLpsF7i4f9rV7NE3fV9laEZxlF6XtZOGMGjy6ogG7Wjx45OMG3Dy/Hhv3tGHmmAGKRSeUiiEtnFGDZSu3hweDm0yEWbUVGLNwOva0eTAgTxpg++qaXSp5whsX1z/PmoQ9rV5c/WL3QMIlc+rwyyOH48GPtsFpM2Phk19G7fPXvbwWt8yvB0CK+eyx86dGDZL+ZGtTOM8qD6zuwmuLpmPt921RufXm+ePxp3l1+GPEIMdFM2vgtJrh8QeiGtDjB+Ujx2bBva99G/XeUGGNJXNq8eaa76PmazYhvC4dFgsaW1vjLs4OLXYqFqVS67Rw2btvco38fvZ3dGFYiTNqwGZomxgdM6BX7XtVyzGx28quA52K69lsAsrz7IrLk2Mj3DK/PpxX83LMGFKkrSGjtXDX7lYPPL4gTp40OK4gmlqHcrJFwbJRvsOiWEAyPyc1Tb0cm1mxXWKkG67T/T33dsA0Y/2d1nZtKH+HPPv5jriCEH8+aRxufv3bqM/3+ILYuLsd18yuDReJclhNWDK3Dnvbu+KOuTXluagqdqGq2IUxC6djw+42+AIC/3p/M46rrcD1c+uwo9mNp1ZKx/arZ49Fs7sLV88ei+tfWRd3fLVZCH86aRz++PzX8PiCeHnVTlw3pzZclDfyvR5fEAcizkdMJkKByrFeiO720L/OmgKPLwi7xaR47N2wpw1nTRsabgN6fEHsbHZjQH4OhBCK0wSECM/rttMmYOrQElTk58S1CYYWO3HDvLqo3LZkTi1EMIh/vL8Fx44t73EbGFrsUlzGquLU5F+t25jSccBiJpwyuSquMJEQIsEcWSpk+py3Q+UmbBMRzj+iGstWbsesuopefXZXIICfTR2K29/qLtx7yTGj4gpreXwBxSciP3zuoXGf2dQR3aehVrgm9gkX5fmOqII/ZhPh8uNHh4uAReakyM9pbO3u6xha7FRsV1YVOwEAQQjFgj0CAt5AIOpvzW4vnFYzHjlvKoJCgEAIyEWAY3NCgcMKt9eHVxdOjzoviT1n2dfeGZdnr5tTCwHthcy+2d2KHc2dcceIb3a3om5QoebP6S2TiWA1k3IxojaPpotIfd2HYo+7yc4/Wykt1/J1jfj1USPD/ZShY5lfBMMF5hxWE4aXjku6kG2bRzm3tHn8iu9XW+8mMmHZyu3hi4pCAMtWbsfi2bW44dVvwjFeG3OM8gdEfF55ZS1uml+Pv7y6HtfPrQv3w4TaKN8f6FTcB0N91rFtlw6vP/z+ygIHTp40GGYT4LJb8JtjRqEgx4IpVcVYtmAavmtW7ifY194Vdwy+evZY3Pv+ZsX2Xm1lQdT7bRaC027Bvf/9Jmp7H1wo9aVs2duuON/drerbs9o+VFWcE273hD7nqhfWoGZALuqHqD9gwmRCXHv0mtm1mvvyU0mtvyfUbxapP+z3jLHU2d3YiGGj1IsCV1YMwMfvv5PBiPq//tDnytjBzGwSaOkMYtGyyAeD1aGiQN9+pYIcq/J5d45Vx6gYY8kwqdwvZubLjSyNuG3K9GI2AdecWBt3jy7fYsGYMeRYzYrnHw6bvjsxH9cYM77drV2K40gmVRXpWgiL8wtjLB04tzBmbNl6H543EERjiyfuHkmlB7cyxrKTy25SbCO4uN+FMdYHTR1dOH1KVdxYkP0dXbq2XRxW5dySY+XcwphReP0i6vzjttMm9PkzuRCWikAAigMUHztPWyGmUrWnwLu0VU52WM1w2cxYcGQ1ggIwEeCymWG3aEvaHV1+FDltOHnS4HBVxmc/34EOjU/aKc+3Rw2eBICXV+3EgDxt8bd0Kg8Ea+3UNv997cqFrPa1aytkpXqDp0PbDZ4lLgeue3ldePmFAF5ZvRNLz5ioafq+ytaK4Cy7KG0nS5dvxPlHVOOudzah2e3Fxj1tGFORr1gEC+geHDdowTR80dCM6gG52NvWhcuOG4OHP9oSHgxuMhGqy3Kjtr/KmKfyVRY4cOqUwbCaCWu/b0WR0xYuxtDWGQgPvgzFuvilNVhwZDUu/NHIuP019J4Orx/7OpQLW+3viB4kXZ4vxTMgTzn/luXaERTAb5+OXmeXP7MaT1xwGC49pgaVhU64u6R5PvDRVtwyvx73njUFKxv2IyiAusp8/CZmnd/x9kbc8/PJIAIeX7EVNeWFUfMdOSAPt77xDWbVVWBHs1vx4uy9Z01WHKS46rtm/H7WGPz1te7Bnr+fNSauAR/5/ZiIsGhmDYqdNjjtFuw84IbNQihTqNyv9L2qiR1IaTWZFNfzpKqiqAIjkcsDSNutlsJbPc1fbfrQdqBWLKChqQO7Wz0oz++e3mQiHHdIOZYtmIZdLR5UFjhQW1lgqMKDJiI8+dn2qGrMT362HZOr1AfqJqPLH1Bsl3T5jfME8WSLvyVr7a6WXg2YZqy/09quDeXv0Pt2tXiwbOV2PHLeVOxp60JFvgMlTiua3dHnAw6rCfvdPrz41U7cMr8egaAAmQgDcq0456GVccfc/1w8Pbzfh+b/1rpGnDCuMqrD7OrZY1FXmY8CpxWNrR5U5DvwxPmHwe3zw+sXaOrw4heHD0Wuw4LqUmc4PwoBfLJ5Hx4851B8t9+NHJsF/3p/M3a1eDC0JAcFOTa8+vX3GFToxCHleYqddZFFaqTiWT65QIdyQalAUCqWce2JY/H1960wE9DeFcDunS2YNrxYcZrCHCsuO24UpteUhtuJSm2C7c1u/F1uX4bOi+56dxPmThiEK2YdoqmY4PBSqQDVja+tx+zxg2A2AYcOLcZQuaiOFsGgwDaFYzigfRtTOg60dfpw4WNfxJ33L1swTXNsrHcyfc7rtKkXmL3/wy19Ko5Z4rLjiU8bovaTJz5tiCsUl0w/R3meHVOGFuDsH1Sjs8uPykLlJ6KXxPQxVRU5cfGMmqjidTfPH49XLjoC3zW74bCa8fvnVmNXiyfqc8oi+nr8QeXC5D8YURJeXqWCPbPqKtDm8cf97YGPtmLpGRNRP6QIW/a24+udB7BkTm1UUaIb5tXh6c8bcMH0kXHff2x+au7w4h/vboqaxz/e3YTbTp2g9StDs9unuIx1gwo0f0ZvhfKZiUjxOx2Qp+0p933dh2KPu8nOP1spLdeMQypwmVzwEOgu1n/L/HpcML0agNRn+sfnv8bEIYVJ5aA8u1puUe5yV1vvO5rdcRcV/3LSONz9bvQx+O73NuGen0/Cqu+asavFg0BQueBlp9ePZrcXg4ocePjcqfhs235UlbjwyqrvcMrkoXH74HVzajGiLBdXnjAaLZ5AuLimw2rCsOLu43hs0b9Ljx2F8YMK8Mb63bj0qa9w8/x65VyVa0d5vh33njUZe9u6UJpnh9cfxIY97di7ojt/mgiYVFUIi8UUdczOsZpx+r0r4rb3VxdOx6zaCny5vVlxvolurFDbh/519hTFddrY4kH9EPVtoSDHhme/2I6b5tej0+tHjs2CRz7agpvmT1CfKI2U2nZG2O8TtfkYY+kXEALTLrtP9e8rbrkgg9EcHPpDnytjB7MuP3BXRJsdkP5/8/x6XeMKBIOKNwcGgtoLSDPG9OW0WRTbCE4r3+LH0ofbpkwvrR4/7nkvus//nvc24fq5dXqHxhjTINduUTz/yFW5TpIpfFxjzPg6vMrjUNxe5QcSZQrnF8ZYOnBuYczYsvV+nE5vQHXsGmPMGESQkOewRLUR8hwWCKHv/XTcdmHM2Gzm6Ic3A9JYkB+OLNE1rib5AeyRucVpNWO/W1tNEcaYvtI1RpDvklGxp1258Mre9i5N03v8fsWnwHcFtHXAE4DBxTkYVupCc4cPRS4r/MEgtI77KMix4uzDh8ZdYMx3avvKC3PM+O2xo7FpbzuCAjAT8NtjR6PIqa0Ql+qTfqzaKs4mKmSjhYmguP61rr/ayvy4waM3zKtDbaX2QZF9GbiTrRXBWXZR206IpP3lzyeNw6SqQlQVJ972TCZCbWUBNu5pxy8f/Txqm68qUi9QMHZAHpbMqcPil9agyGkL55wipw2nThmMS48dhT1tHjy2Yjs6upQvSgaFVHTwkfOmKg8etVlgVhkgnGs3R+0Pw0qkwZkH3O5wXJFPYB5V4cK679sV42jxeOEPApfLg2NDRShaPT78+okvw6/deMp4xelXNjTjzuWbAABjKgvDMS6cUYNb3/gmXChiw+42lUGqQcVBiiW5VlQW2HHL/Hp0eP1w2SywmoHSXPWifm1dPhQ6bbgm5mmJHr/68UdrvoqM8bNtTVg4oyZqoO7Vs8eiMMcSVWAkNmdpLbylJFHhrshl+NdZU7B+V4vidvPldwew9O1N4Yqis2qlYm+hgbuR1UZn1VYYZsCl1x+IG5R8yTGj4A2kpiOpzePH3e9tCRfYDASBu9/bguvm1Kbk8zNNpOGB7KHCf5G0DJhmrL/T2q4NHccjc/GvjhqJy59ZhYamznAxl1tPnRAuahk6x3nk4wY0u73Yvt+NR1dIv988v17lfM6DEQOi5zt2UAEueDi6aNb1r6zDk/8nFUgsz3dgYH4O1u9qw7amjqhzrBvm1aHYacaYinxc+tRX4TbRuQ99Fm4TnXX4MLR3+VCSa8cvHvw0PO31c+tAEOHOupoBedi4py1cfAKQjl1FTisWzazBrgPuqGPv0JIcXDHrEGxvcuP3sw7Bn/+7PryuLj12FPLtZpgTPDm+uixXtVhq5PfX0NSJu97ZFPX6xCGF+NGoAZqOk6GCk75AEFc8uzrpY20wKPDa2kbV47TaNra7Nf7cKbYt8fHmfYoFpN1evhCTbrtbPYrrPl3nvIn2hcjiur0xrMSFK2YdEreNxhbWKlXp5yhV6OfIsRHOPnwYNu1pQ1AAzW4vbjplHH737NdR5yu+mLbe9mZ3XGHOy59ZjVcXTsePRg3A8m93Kz7BI7JxtKdVuT9sT2tXeHmvnj0Wq3e0ICgAiwm4evZYDCtx4fPt+/HrH42A025FR5cfLocFQ4tGwBcIhqdt6fRiR3NnuHivy25Bjt2EUyZXISh63vdaOn2KeanV4+tx2u7lCSguo8eX3n0/Mp8VOW1x22QyBdn62m+kdNxNtiBcNhasUVouAeViURv2tOHO5ZvC57LLPt2edA4ym0kxt1jMyushMr5QO2F4qQs5VjP2tXnw8LlTERQC5fkO7GvvwsqGFqxsaAlPP35QPr7e2YbFcqHxe34+SbUvZdHMGvz2qdVodntxzexadHq8+OGIAVj7fQucNjNuP20CfIEgNu1tx+MrGnDUmAGoLs1FUHSGP+e20yaEj5tluTac9cCnUfnltjc3YNyggvD63hnTVonMMZ83HMCVz3fnsJtOGYcb5tXh78s3ApD6cg8dWozBhVI/VOQx++PN+xIe64MQivMN5R4lavuQxxdQXKcVBYlvThtW4sJ5R4zo0z6VSkr7Zyr2+3Tqqc3HGGP9UX/rc2XsYNPs9imeYx/o1H5+mg5tHj8e+Ti6YPcjHzdgRBnnFsaM4pDyfDS2elDssof72KxmwiEV+XqHxvoxbpsyvXT6Aop9/rF9d4yx7GQ1C1SXOuPubbSZ03BjVhL4uMaY8Q0tVn5YYFWxvte1OL8wxtKBcwtjxpat9+Oo3yPJfS6MGUVrlxc2E2HUgLxwv4u7y4e2Ln2LwnDbhTFj6/IHFe918Sa45zoTipxW3PveJulB8l4/nDYLHv5oC66YdYiucTHGtElmbGcyuBCWirJc5QGKJRoLMeVYLLjn/bXRT6t6f5PmJ4AGAexu9eK6mEImRU6bpuktRIqVmx87b6qm6QETdh7oxL3vb4kayDW2Mk/T1HkO5Sf95Gl80o/ZRLj02FG47c3ugh6XHjtKdSBZrKC8vmPX/y0a17/JRCjLs0VdoM3LMWsedNPXgTvZWhGcZRe17WT6yFKcPHGQ6iBUpcFwDfvjB0xf9cIaTBxSFFUsItLGfe14a/33+OdZkyEEcOFjn6PIacNZ04bGNYQLnFbFWIWQ5rVpTzuun1uHq1/sLl51/dw6WC0Ek8qg9XxHdDEok4kwq7YCnzfsxz/fX4+b5tej0+tHjs2CRz7aguoyl+o6y7VZwzGHln/p8o146NxDo17bsrdddTlCvx9ZU4bDq0vgtJnhCwTx43EVCASBT7Y2JTi2KBe22tvmw5Z97rhlL811oEqlyK7TasF1L38RFfd1L6/Foyr5v7f5qsRlj6r+KwRw7/ub8eA56scZj8ePr3e1oLG1CxX5doyrLIDD0femiNIy3HTKeNx6aj1++/SqqHX3yMcNUiwRFUUBpKXaaCY5bOZwESxAWobb39qQxHE/sbI8O5rd3qibD6UCldraJdkg3YNqKwtyejVgmrH+bkCe8rG3LDd63wgdxwctmIa3v9mDyUOLsPjFNWhokooxhIq5PHPh4Xh14XTsafOgLNcBgsDAwhxs3tseLoJ1zYm1cNmUC/PGtqdNJoJJkOLJ9vJv92Dp25swtCQHS+bWYX1ja/j8KPSeq15Yg0fPm4pZtRUYs3A6vj/QiQseWanYJlo0swZFTlu4cN7VL67BP8+ajCff3oDzjhiB/e0eDCrMQbNcsd5hNeG6ObXIc1gwYUgBTCYTfvfMKtw8vx67DrjhclijctrCGTXhIlq3vbkBt582ATlWs+ITNxwWM2bVlvaY/9TaTkOTLHayvdkdLoIVWndaj7U9VQV32iyKMTptPRdxrsh3KBaQrsjn3J1uauu+PE3nvA6L8r5gt5j73N4L5a8xcm4akKdcEMgp9+vE9vPkKBQM9/qAnQc8UX0ylx47Co+cPxXvb9gHIaQnbxw39tCo6RIVRxpWIhXbiW3DL1u5HbPqKsLvL1Q5dyt0dp+zeP0iKrbbTpsAQCpqvmlPBy6LKDB8zYm1KMuzh9cVANzyxrc4fUpVVPHeq2ePRXluz31OdotJMT6rWVvhdQCoLlG+aXZ4mm8+icxnu1o8eOTjBiw4shoThxRiqFykRmtu7Wu/kdbtVk22FqxRWq42j19xXYWu14UKYN5+2oSkc5DLZsbAQkdUbhlY6IDTqnwMCsU3+uIj8MX2A1F9IItnj0Vjixv1Q4owrDRXMe4FR44I718A0NLRFZdXlsypxQF3Fx75uLuw5nWvrMXj5x+GT7ftj+vrffebPZhVVxnVZlkytw6jBuRi/ODugpkHOn2K+aWts7vweXtXAC+v2hmXY344siRcBCs03e+e/RpX/XgMLp4xCle98HXC7ainY71S/0Rsboul9pnl+XbcMK8u6Ycj9HWfSqVE+2e2xKgkXU+CYYyxbDZArc81zzh9rowdzIqcytcWH0nRdZneKs1Vzi2lBrqewxgDWjv9cfdOMJZO/eF+AGZMavdRcduFMWPwBQg7Dnhw8+vfhtstlx8/GmU63+fMxzXGjG94qQt3/mxi+AFdZgLGDS7A8FJ9C0pwfmGMpQPnFsaMLZvuGYpUpvrgVs4tjBlFvsOG9bvasfjldVH3fI4s1za+P1247cKYsZmIFO91eez8w3SNK89uxmlTqvC7iHEoS+bUIs/R87gwxpj++jK2MxHto8QOMh1eHxbOqIFDHpAYGljs9vo1Td/s9oafVnXn8k24651NaGjqxAG3toqrocIlsYVMtFZebnYrD05qdmt7Amlja5diIa3G1i5N0zssJgySB4JdNGMkFhxZjUGFjvD67ElTRxfsZlPU9HazCU0d2ua/t70LXn/3U4WIpIGae9u1Tb+tqQO/fPQLXPTvL3HFs1/jon9/iV8++gW2NXVonl5p4I7W6UMVwSO3v2yoCM6yi9p2cuiwYlSX5aoWwXptbSN+vPQD/PRfn+DHSz/Aa2sbsX1/h2LO2L5ffZv9vsWDN9btwy8e+AwrG5rh8QVx8qTBig3hklwbbphXF5dTn/tiBxxWE4aVulAzwIVlC6bhnz+fhGULpuGkCYMwc3Q5cu2W8KD1UD5w2czo8PmxZW87gsHufd1kIuxu7cLOA134trEN3zV3YsPuNuw80IXGVo/qOmvq8Cou/4GYnPnUyh24fm70clw9eyzyHGYsmjkSfzl5HASCOHxEKeqHFGFSVTHW7WrDT/4ure9Ln/4KS+bURk1/2XGj0d6lfGzx+AOKudjjD6h+L/vdysvSrHL86W2+GlbiwhWzDsH9H27Bncs34f4PpQq7annK4/Hj5TW7cNYDn+Lif3+Jsx74FC+v2QWPR9txNRGlZfjds6sxpiIfry6cjicXHIaHz50aNRA49L49bZ6EBQOMYm+78ve+ryM1ld79QYFFM6PbRYtm1sAv9H2CXzL6emzuSW1lflye0zJgmrH+ziwXtIzNH0r1SkwmgtsbwNK3N6HxgCdcBCvE4wvi+wNSJehp1aUYMSAX1QPy8JO6SswcPQBXzz4ED55zKAKBAP721oa4+aq1p+1WU9x5SmSBjNnjB6GxxYOgXMCzssCBXx89EhfNGIkLplejudMHk4lQXZaLTm9AtU10x9sbcfKkwVHLs6+tCxceVYNLn/oKV724Do+vaMBN8+tx0ynj8M+zJuPpldvR0unDT//1KX73zCpceuxo3PLGNxhc7ML1r6yLa3OFPt/jC2J9YyssZhPycqILbublWGG1mHq8yBoMCpgI+PNJ4/p8XtKXY63StEVOG/a2deHjzfvQ5Q/gD7PGxLUzfQpPJAgGBbbsbcfHm/dhy952tHX5FNtabR5t582s99o8mV33rR4fYpstQiBl8wvlgGnVparnYnvbu+CyEu49azLuOGMC7j1rMlxWQpNCe63N649bP7e9uQHurkC47X3mYUPjioWHiiNFChVH2r6/A1v3deCMQ6ui2vC/PXZ01D7t8ftxzezoc5ZrZtfC45fa7YnaVAc6fLjnPakoeShH3vPeJhzo6F7Pu1u7MHv8oLgcef0r69DmVT/PCTGbpcLpkfGF/h+5f0eeJ8YaXpaLW0+NPi+89dQJaS+0EpvPdrV4sPTtTcixmVW3GzWp6DfSst2qSXfbui9il0upnR7qjwgJHTeTzQnBINAS02/Q4o7PN7HxNbt94cGsofkveWUdnDYrmtqlnOANBLBwRg2GluTg10ePxMKZI2EyxRTvJBP+/UkDbju1HnecPgH/PGsyyvLtuOvdLXHnvu0KeeWOtzfigiNHxO2Pi19cg05fIGqbyHdYFfOL024Ov/7s5ztw+pSquH4CbyD+aYIeXxADC53hIlih15S2o6AIKuYlIa/oYSUu/O746P6J3x2v3j8RuX5jtwuvP4h59YOi+qfm1Q+CxdJzn3Zf9qlUSrR/ZkuMSvpD3wxjjCXLp9bnmqAtyxjLHvtVri3uT9F1md7yBoKKuUXvp3cyxrRb/X1LXL/B1S+uwervW3SOjPVn/eF+AGZM3kAQlx8/Omrbu/z40dx2Ycwg2rv84SJYgNRuufn1b1XvhcwUPq4x1j+EHtB15/JN+Of7W6LGheiF8wtjLB04tzBmfNl4P06XX7nPReneasZYduroUr7ns0NjfYN04bYLY8a2v6MrK+91aXb7sfil6Joqi19ai2a3vjmPMaaN2tiMvp5/WFIRXH9kIpPik+S1PmWv0GlTrFxWmKOtsqlaURatBxOH1aw4f4fGymlur19x/m4NgxIB4ECnH498vA1n/6AanV4/cmwWPPLRFvz2uDGaps+xWvCX176Ji//Bcw7VNP2gwhycffjQcGM/1KAeVJCjafpEA2+0DIzs6/QAYLMQFhxZjaAATCT9n7FIvakcrzYY7okLDsPCmSMRGl/x7Oc70Oz2wmmLP0wEgyI8KHHRzJF4aqU0eNRhNYEIitu+PyAwr34QKgsc2HXAg+3Nbjy6ogHNbi8WzqhBm8eHivw8VJflon5I9Pya3T7c/d4WnDxpMIiAQBC4+70t+OOPD8EvHvgMt502AbNqK8LLXV5gV9z/y/Ptquvsf5v2YWhJDmaPHwSSV9/Lq3bGVZtsdnsxZWgRli2YhsYWDwSAv/x3PRqaOsMDsCsLup9oFru+G5o6cde7m3DT/Hps2N0GIYBHV2zDzafUK35fXT7lwaJdCYoiqlXOzFH4LoHe56tkt781ja2KN+wOL3VhyrBi1floobYMe9s94c7kLXvb44qBhYoChH6PXWcDdH46XTJy7RbFbdhlT01Tb3drFx75uCGqXfTIxw2oKnam5PMzIRXH5kQsFhPm1Q9CzYBcNLZ4UFHgQG1lgaYB04z1Z7taPIr5Y2JVIYaVxu975fkODC3JQUWhI9w2efbzHdjV4oHDaoLVYoLfH4zatywWE+qrilCPIgSDAuX5Dowsz0NFvgPHja3A3vbExylf0I/r5tTiGrnTzGE14ZoTa/HvTxoASEV1nTYL8u1m3DB3LCoKnVi94wCCQsq11aUuqWiUiVDksiVsE1HE7B1WE8oLHGhs6c5Pq3e2YuG/vwQAXDRjJFY2tKCjSzoHa2jqRInLiltPnYBtTcpFTEOf77CaMHPMADS7ffjbWxvCx4dAEPjbWxtww7xxCb+3UPHUS5/6CkVOGxYcWY1R5Xk4pCIfw0uTf1JRqDhPb461sdNWFjhw9uFD8YsHPw1/X5ceOwqLZtagwxsIn7vPqqtQXabQdDedMl5xPe5q8WB8TJuUpVajynG5sbUL49MwP5vVjJdX75T6KLr8cNoteDiJPopUyLGasXWfG797bk14G7z8+NEoy4/fD7p8AcX14/UHcdGMkRACePB/2zB+cEFULg0VR4rczkPFkVY27McN/1mPIqctnJNNBAwpyonap3OsVtzz/tqovH3P+5tw66kTACRuU7m9fpw+pSpcVCfUebnf3V2U3GW3wGxSzpEdGm6Kt1kIg4tycMv8enR4/XDZLHDYTPhufyd+fv+nUcsdeZ4YyWQinFBXgUMqM/sUtr7kwlh6P0ku3W3rVIptpxe5bLjptfXhPgZAOp4Hgkg6B7V2+fHn/8b3X/7r7CkJp1PLgS0eH/Kd0jlcicuO5d80YsGRI8LFLxfNHBm1DRU4rWjx+LCtyR213y2ePRZPfrodq3e2hmPyqOSVzi7lPuDYPujyfDsWzayJ62tx2sxYOKMGS5dvxK4WD5at3I7bTpsAi4kwckAuhpW4sK2pQ3Hb39uufDE1djsyEeGe9zfF5aWlZ0wEIB3jgyIY1Y8aFMFw+0xJaP3eNL8enV4/nDbpuDCrrkJqWw4piuufMgoj7Z+RUpkjGWPMKPb0gz5Xxg5mxS7l+0GKnfo+6bal06eYW0ZkcVuQMRZtT5vKtW8uFMzSqD/cD8CMqaXTh/s+2Bq17d33wVZcN6dW79AYYxqoXXuIfS3TuM+FMeNTu9d9zMLpul7v4nYzYywdOLcwxtKhtdOv2OeyhPtcGDOMDq9yv4u7S99+F267MGZs5fk5ive6lOfbdYyq7zVVGGP6KnbaFesyHV9b0fPECXAhLBUFOVZc+KORuO7l6MHQBTlWTdMHhVAcHCSgrbJpeZ5dZeCHtoNJvsOM6+fWhYuOOKwmXD+3Dvl2bYWw8nOsivPPz9G2ybR3+bGyoQUrG76Me12LDpVBWFoGRQIAAYoVb384okTT9H0deNPX6bc1deCiJ76Mm/5VnS/gsOyltWiy0mC4IqcNW5vcuPf9LVH5ymUzxzVgYwsIDC3JwfXz6tDa6cNdP5uEzXvaVBrCDlgsJtjMJvz9nY2YPX4QTpk8OHwwu/mUegwrcSnGXOi04tQpg8NFup77QirSleuwKF7cNIEU9//Hzz9M+rtcbT9yXyp0WlRzfmh5QoOph8qDi9s8e3HBIyuj5nPbmxtwX8SAV6X13dDUiU172nDn8k3hgeGdPuXcpp6L1Y9FNjMpHn9sZuXBn33JV0rrUs3eNuUBrnvbulSm0E7LMiQqCgAg4d8ihQrB7W71oDw/s4PNEylyWnHpsaOweW8HggIwE3DpsaNQpLHd0pOyXBua3V7c9c6m8GsOqwklufoO6EhGJgbVGn3ANGPpUJ7vUMwfavteVZETF8+owS8f/TyqiMqyldtx+pQqXPvSGiw9YyLqhxQpTq90bBoxIPFxymKy4B/vxhRXeG8TTp08JFxAosXdhfICB/xBES6CZSbgvB8Mxx1vb8CEIYWoLstFIBjEopk18PgCijnHFFGo6urZY7GjqQNDS3MV3yuEnGtdNvz9pxPx8EdbYDWb4QsEsa3JnXCa206bgHGDCvH62kapEGfE+geAdk/i86rIG8p2tXiw9O1N4fOR3hz3ejoOJzPtqVMGx7X1bntzAxYcWR1uXyl9ttJNcpv3tiuuxwq5sKnXG8Dq71vQ2OpBZb4D4wYWwKaxuDRLrMRlVyziWexKT9vC5w/gzMOGYdOetvD+e+Zhw+ALaCv2nQpWs1nxiciPyecpkdQG0xY5rbhz+abw/2NzaaLiSC2dvvA+HZkTxg8qiPoMrz+omDdClfgTtan2d3jDxXhCy7h0+caoZcyxmjC2Ml/xM0o1fP9mMqGhyR11vnP17LG49/3NSd0Em8y5TKr0JRcq0WMZQoxWsCYYFPAFBHxBAbvFhLN/MByb9rSH88FvZo7C459sw9Gjy5L63HaPcv9lT8fZSpX1t32/O1xce1iJCwtnjsaCR7v7HZ5auSPqfN9EhN/POgSXxBzflryyDrefNgFLXlmHZrcXi2bWoEQlr7gcysW0y/MdUYWkqopdqCnPjSo2VVOei2KXLe6ixY2vrceD50wNb5tK2/7CGTXY196laTtyewOKeSn0wIa1u1pw+TOr4z6nqtip2masKnLijKlD8btnVoVjumFeHaqKjH8zhtH2z5BU50jGGDOCAXl2xT6TMo3Xghlj+goEA7hmdi2ueyXi2uLsWgRE5voalBTkWBVzi9b7PBhj+ivNVb5frCSX2wgsfcpU2qalvN2xNOO2C2PGVqTywOgiZ2ruV+ut8nzl45rW++8ZY/rL1ge/cLuZMZYOnFsYY+lQ7FLucyly6Xu+xhjTLj9H+d7OPIe+Yxm47cKYsdVW5uOGeXW46oU1UfdP11YW9DxxGpWp1FTh3MKYMZgIOOPQqri6Fn0tvcBXjFV0+vx49vPtcU+FH378aE3TN3coP2lzeKm2gRtBBLBkTh0Wv9R9MFkypw5Boa1iqwCh0+uPGpzU6fVDQNsW4/H5sXBGTXgAY2iAksen7cZNl82seNBxahw0XFXsVJxea2XY71uUL4DsavFgvIbiFH0deNPX6bPlAk62Fnw5GCl9FwCiilKFtrNZtRWq35PSYLhTpwzGH5//Oq5w1APnTEFVsTQfvz+ItbtasKvFg28bW1EkP8349ClVuOiJL6IavTfPHx8egBi77ZtNhAuPHBl3U7jFTIoxB4MCO5s9ikW6bBYKxxu5b6g9aawrQf5yewPhIlih91/38lo8ct6heFUeRF6W64DZBHyytQnl+Q50eP0octpw8qTB4cH7z36+A+6Ign1qgw+nVZegujQXxS4rHluxFVOGKQ/M3N/hxSXHjMLtb20IL/8lx4zCfrd6JVub2YQSlxW3zK9Hh9cPl80Ct9cHm9mk+P5MDTTMUxlcm+foe1NEyzIkKgoAIOHfQmILwWnZ5zLFHwji+wPx+8rQFFVUN5sI155Yi2sjisVde2ItLAY6JvCgWsb0key+t73ZHe5QA7qLqNw0vx5/eXU9drV40Nji6VXBObW27b72LsXiCqGbIF9etRNL5tbh212tCAjE5dozDq0Kt0VaPX488nEDzj58KK6ePRbXv7Iu/N7Fs8fCZTPj7z+diB3NbrR5fBhc6MSD/9uM6+bU4pqXunNsqPjXZceNxq6WTlzx3Ne4bk4tKgvt8AekmGLP1/580jgU5Fhw8sXTMbxUWrayPOUbT0t7KGSY6vORno7DyUzrVnm6ycQhhXhywWGqn620TE+t3KHaiev1BvDC6u+xOKK49JK5dZg3fiAXw0oBi5nwq6NGRm33182pDbfxUy3PbsXa79vi20olmSt4sq9duTDsvvb4wrAdXX5cdtxo3PLGt+F4LztuNFo9PgDQ1I6JLZas1k+TE7M9VxQon8OU53cX51HL640qfTGhIlqhZfP6/HH73nVzatGloTBZm8cfVwzv+lfW4fwjqqPyeDbcBBurL7kw2xipbR2bz688YbTi8fzimaM0P8AgpLfH2doK6SLi35dLhcLNJuCQinzc/e4mTBhcCEDaXqxmivrsXS0ePPJxA/7xs0nY296FoBDYuKddcb9b39iKK398CL5pbMMjHzdgxIDcuIcm3DCvDpUFdiyZWxd1vFs4owa/fforXDHrkPD5rslEmDG6HNWludjd6oHTZoY3EEQgCFw9e2y4oH+i8/Hic6fiw037IATw6IoGAIhrzyhtR2p9K6G8tEsl9yRqMyq1Oa96YQ0mVRVlVd7oDSPtn5H6U45kjDGtfIFAXH/AdXNq4Q/qW0SHMaaN2WTGPe/HFNd/fxNunl+vc1yEy48fHS7G7bCacPnxo2HmdhVjhtHl9ysW2vP6tT04kLHeyLGasGROLRZHtE2XzKlFjk35PhPGUsVuMSmeF9ktvO0xZgStHh+umDUGN772TXgfvmLWGLR1+XSNy2IixeOaVeVBooyx7JOtD37hdjNjLB04tzDG0oEAXHNibXicnMNqwjUn1mocVcwYywaq13117t/gtgtjxmaxmDCvfhBqBuSiscWDigIHaisLYNH5ugznFsaMbWtTh2JdpTEVeRjeh7EZXAhLhccXwIwxFVFPhZcKQWkrRFWWZ1OubOpKPBAqxGaywGr2RBUy8QX8sJm1Dbht9fhw//+2Yvb4QSACggK4/39bcf3cOk3T5ztsWLZye9QGt2zldtx22gRN09stZlx67Cjc9mZ38ZZLjx0Fh0Vb/G5vAItm1sRVfnN7td38XVmQo3gBpKJA2wWQvg686ev02XABJ5sLvhxs1L6LsZV54dcAadDepU99hTELp6sO2lMaDDekyKk4YHB/h3RDgt8fxAurdkYNUl44owZBIcKDFUPTXPXCGjx+wWH4z8XTsX1/B5w2C8rzu6uumokUbwpfevpExXi3NXXgSoUiXX8/YyL2tkoDxmP3jQqV/b+8IEd1HR/o9CmugwNuP6YOz8WwElfcd/DEBYfh3B8Oi8tzA4u656O0vq+fW4c1Ow6gtSsA8z5gdv1gFDnN2LK3Pa4wR6HTiic+jT74P/FpQ8Kb6Fu7fAAIl0Ucv5bMqZVfj5epgYaVBQ7FvF6pMS8nonUZTCZCdVmu4v6R6G8h25o6kt7nMqWtKxBXEOCOtzeibtCUlHw+ASh0WqLaJRYzDNURzoNqGdNHsvueWgGmDbvbsKvFo9qm76mAa6K2bUGOVbHtMLgoJ1xYqbHFg8pCJy6Xj6+huO54eyNumV8fbouU5znQ7Pbixte+RWWBA+cfUY3qUidcdgv+8t/1aGjqDLcZIAQOqcxHVfEotHq8eOTcqWhs9aDQacW2pg7MnTAINjPBYbPA4wvimpfWYtn/TcO4wYX4zcxR+NvbG3D+EdXh4hkdXh+KnDaMGNB9TKootMcVvbh+bh0qixJXxU/H+YiWY62WaTfvaVcpmuyKWvZYSstksxDK822496zJ2N/hQ7HLCotZmt9XOw6Ei4IA0ve9+MU1qC51Ycqw4qSXgUXz+oPhQQ0Awtv4o+dNTcv8OrzKbaX7zk5NW0mLXLtyYdhce3zXnNNmwaMrtkWdBzy6Yhtunl+fsOBbolxnt5gV2+Ox/TQ9FVBJlNe15I6CHBu27nPjwY+2hnNY3cAC7GnthN3Sczdlp0rh49i6v9lwE6ySvuTCbGKktvXq71ui8rna8fxfZ09BiVNbv21Ib4+z37d5UFPuwsUzaqL6Wi49dhRKIopoKe1TzW4v8nOs8AaCKHbZEAgGFfe7QBD4dncb7npnExxWE8wEdPkDUQ9N8PgCIBAQDOLesyZjZUMzAkGpSNWuFk/c+a7JRBhW4sI3jW0496HPonLEa4umo7E18fl4Wa4d932wJSrWZSu3Y9n/TUOnP6A6bU95qTf9wNnyEIJ0MNL+Gau/5EjGGNPKYbXAbEJUn6vH74dDQ7uYMaa/vW3KxfWVCl5nUpvHBwtRVNvfQoR2j74D0Rlj2tktFjz7xca4Bzf+btYheofG+jG3NwCTQttU6316jPVWe1cAT6+Mf1jtomO0PayWMaavEpcNO5s7o84/zAQU5yR3vSXVPL6g4nHN49d2/z9jTH9VRU7FB9tVFWXuYWdKuN3MGEsHzi2MsXRwe4O4572YsXvvbcIN88bpHRpjTKMcixmlubaofpfSXJvm8fnpwm0XxozPYjGhfkiR6sOG9cC5hTFjc9ksinWVnLa+3QvLd9KqsFsscQVeli7fiAfPOVTT9ERQfFqVSWPxwaAA/vD82rgBPI+ff5im6f3BIE6fUhVehlDhGn9Q24W8gBD42dShuP2t7gIvlxwzCkEhNE3vtJtQlmePamiX5dnhtGtbATsOdCpWfqsqdmJCVVGP048uy8WSOXVY/FL3BZAlc+owuixP0/yBvg+86cv0PQ3wyoRsLvhysFH7Lh4+d2rSg/ZCg+EGLZiGt7/Zg0AQ2NPmURwwuGF3G8ZW5qPN4wtfTAzNY+nyjbjx5HHhfRQAnv18B3a1eNDU7sXu1i7Fwdf73V7Fm8L3u72K8aoNTPx2d1s4zth9w2yC4gDvyIHRscUynFaz4jpwWE2q38HmvW3hIlih1257cwOOHnVE3PoODT60EGHdrlbc9lZ3bFeeMAZrdgr8QS74Fbm+fIEAfnXUyPgnwgfUG/C5dit++dIX0UUbXlqb8PgRGswaWucAej1IUq0QyfDSXIwc0BF1XBg5IBfDS1OTTzIxWDKbB8q2e/yKsbV3pejJwET4zbJV8e2SC7S1S7IFD6plTB/J7HtqRVSEQPimptrKgqhptBRwTdS2dVrNuPKEMdjX4UVQSDdmlrhscNksqI8499jR7FbMtZHH0a5AAJccMwq3v7UBu1o8uP/DLfjHmZPwq8e/iGsz/OvsKRha7MSXO5qx9vv2uHOvp1fuQLPbi9vlYsQeXxCNrR7UmwgDCx2YO2EQggIIBIElr6xDs9sbV9Snywu8ue57/POsyTjg9qHQacXjK7ZiUg/nVNlwPqJGS1tPidIy3XJqPTbt6Yh74tGgwg40qhz3Q20l1jd727sU1+/eNA0WdXuViydlsmM8tK3GFaKyxm+8bV0+xT6d9i4fZoypUJ1HolxXkmuDy2aOao+7bOaoojuAtgIqanndbIJiPo3cP7v8AfxVfip06LzQYTXhnz+fhDaP8nlhpOoSl+JxYsrQ4vDrPeWsnoonMm2ytW0d+/3uaYvO5+4u5XOnlk4f2j1+DCvN1bw99PY429TRhXaPP66v5bY3N+DBc7qP5UrHrhvm1eG3T3+FhqZOLFtwGEpcNiyePRZLXlkXlS+WrdyO2eMHhdsVDU1u3CQ/GSzEYTXh/l9MweKX1+GC6dW4c3l0X43S+a5annl14XRMqy5NuNxKx/AzDq1CgdOK+lL1dWYyEY47pBzLFkzDrhYPKuWnD4W+p9rKfMUb4WPbjJGy4SEE6ZSt+ydjjLFoXf4Arnoh/lpwZHuAMZa9inNtim3KoiQL7KZart2Kv7z2ZVxcj6Sp+DhjLPVaPT7FBze2cUE7lkaBoFBsmz7wC26bsvTyB5UfVhsIcLEaxozA4w/iz//9Ju748dC52u6zT5eA4OMaY0a3vdmNvy/fGDWO5O/LN2JSVZGu17+43cwYSwfOLYyxdHD7/Ipj9zq7uJgEY0bh8QdwxbNfK1z31bnfhdsujBleNo6l4NzCmLGV59sVx8uV5yd+wHxPuBCWivYuP4qcNpw8aXBUkZd2j7aCEvs7fHh8RUP4aVU5Ngvue38zFs6s0TR9U4dXcVBWU0fPgwIB6QZHpUJeWm9wLHHZ8ea6XXFP2zp2bLmm6ds8AfztrQ2YPX4QiKTCXn97awNunl+vafrKfAdslu4DJxFgsxDK87UNRvp2bxvuejf6Ashd727E6Ipc1A/puZCW3rQMPE23bC74crBR+y7cXn+vB+15fEEEhbRvvb6mEVfPHovrIwZNXj17LNo8Puzv6MK+9vh8VOS0wRsQuP/DLXEDLYtdNvz8/k+UC03YLIoxh6o6xjaiB+QpD0ysG1SAbxpbseDIaoytzIvaN3a1eBQL6U2sKsSw0lzFYhn3/2KK4kE2325R/Q5yrFbF76VhfwdqKrqL7kUOPvxg417c/7+tUQXEOryBqBtCIteXw2LB2+t3xQ2qXXCk+rGkxe1THdSrRksBES16+pyZY8oxoixXt7zWV9k8ULYsz4ahJTnh4y4AvLxqJ0pdqRlwsU+lWEVTu7Z2CWOMaaX0RL/r59ahssCG48ZOQ21lASyW6KIxWgq4Jmrbenx+dPqCuPf97nbNJceMwu62LgSDIlzoakezW/E4UJZrCx/PQudR/zxrMhpbPHDaLGjpVD42d3T5sb3ZDbvZFC6CFfrb7W9twEVHj8Qtb2zAxj3t4XlVFEjHnGa3D0vfjr44CSCuAOJ+dxcmDCnBLx/9PKrN1uzuAqDeps+G8xE1PbX11Cgt0762rnARLEBa99e9vBaPnDsVlfkOxWOr1nNSllhprl2l7dK3Ti41hU6r4v5b6LSmZX5KWjp9cFqjC1E5rWa0KAxgK3E5sGzluqjtfNnK7Vh6xsSE80iU66YOK8HAonbsi+hXGliUg6ri+GJRvS2gsre9SzGf7mvvCu+fB9RyojeAQYU5Pc5jeFkubj11An77dPc5x62nTsAPqkvwqoaclapzH5adlL7fe34+OSrf5OdYMLQkBw1NneHpHFYTvtvvRqcvgNEVeZq3/d4eZ+1mEz747oDivtDm6b7ZKPbYlWM1Y+GTX4Zj/665E3e/twX/70fVuPNnk7B6xwEEglK++OWRI1CQY8Ut8+ux44AbAwud4flVFjjCfd7BIMID9bWc7/alv7C3x/BgUOCN9btV91uTiVDotEbl10KnNeE+nc1FPxljjB08WjqVr0W3dvLNx4wZgctqxjUn1sYVWHfZ9H0Cb4vbp5hbWtxcQIcxo8h39O1+L8Z6o0PtPkkeGMfSLNdmxbKV26Puo1q2cjtu0XiPKWNMXwfU7lPU+fyDj2uMGd/uVo9i4Qa9xzBwfmGMpQPnFsZYOhQ7lccXFbkyd88sY6xv1PpdDri11TdIF267MGZs2TqWgnMLY8ZWVexCTXlu1HiOmvJcxfFqyeBCWCpKXTacffjQuKIoJbnaCkpUl7iwYU87Fv77y/BrDqtJ82CaHKtZcfBRjsYbJ9tUBhZqfUJgVZETZ0wdGvW0rRvm1aGqyKlp+k6vH6dPqQrfnBUaCNbp1dbQrq3Ix6+PqsHil7oHwC+ZU4e6inxN0+9qUb4A0tjiQf0QTR+hu94OPE2VbC74crBR+y6qipMftKfUUF04owaBYBCLZtagLNeO7c1u3Ll8E5rdXtx4yniMKHPFzf/UKYNx9Ytr4m6+vPvMSRAQqoMic+0WxYJTLrtZMbY7fzYxbpDzopk1+G6/Gw9/1IBdLR78YERJ1IDJ8nwHmt3eqP0/cttVKpZx5fNfY+HMmqiDrMtmRq7Dovod5OcoF/WyW83hdR1bGdcXCMTlxuvn1qmur0mDi3DM2IFRg2qXzK3D+IEFqt+xy64cl8uufsjXUkBEi54+R++81lfZPFA2iKDicVNQap6S6VRplzispgRTMcZY8pSe6HfnOxvx4DlTVY8fWgoyJGrb7u/w4va3vowrRHXL/Hpsa+oIH8PsVoor0nXtibXwBro71kLnUZHH7n+cOUklh5qxp80Dd1dAMf6yXDscVhO6/N3nY7WVBfLy2BU/szwvuoiQzWxSHDCzbMG0Hr+LbD1u99TWSyR2mb5pbFVc9/s6ujB+SD5+fdRILH5pbcSxtRYVhakpMnmw8/j9uPDIkbjulYjBorNr0RVIz8U5b8CPa0+sxbURg1OvPbEWPn/mOsYLcqxY8tG68I0FgSDwwEdbcavCYI7aynxcPKMmKt9E5gA1iXKdyUSYMboc1aXpK0xrUynsF5lz1Pq7nDYLDinvuc/HZCKcUFeBQyrji15pyVmpOvdh2Unp+33ik62K50p3vbsRDU2d4XzwxCcNOHL0gKRunu7tcXZfuxdBoVx4ymWP7vuN3LY/3rwvqoDX7lYPmt1eLH5pXbi4ldkE/Pmkcbjy+a/h9QucOmUwRpTlYoDcdihy2nDWtKHhuO+T+1n++/UuLJxRE9VfoXS+25f+wt4ew3vab7c1deCiJ76Mi+nVBPt1Nhf9ZIwxdvAodFoVr0UXOPnyPWNGsK+jC2YI3DK/Hh1eP1w2C9xdPjR1dOkaV3Gucm4p5oENjBlGthaUYP1bQY5K2zSH26YsvTq8PsV7TDu8nPMYM4ISl03xmkFxih7c2Ft8XGPM+LJ1DAPnF8ZYOnBuYYylg8NK+PXRNVj8YsQ9c3PrYLfyvVGMGYVqfQGdx/Fx24UxY8vWsRScWxgztnSNV+PqBSo6vIFwwgSkZH7H2xvh9mkbJDm8LBe3njohXCDCYTXh1lMnaD4QWM2ERTNroqZfNLMGVo1feEmeI644hcNqQonLrjJFtO3N7vCAS0Ba/qteWIPtzW5N0+fYLIoDwXJs2g4637d5wgPUQtMvfmkNvm/zaJq+siBHcfkrCriIk1ahgi+R22C2FHw52Kh9F8NLXZhVW4FXF07HkwsOw6sLp/dYeVWpobp0+UZ0dAUwpiIPV724Bkvf3oRdLVJBiSueXQ2HxYwb5tVFzX9EWa7izZcOqxklLrvi/jcgz4FOXwBOqxkLjqzGRTNGYsGR1XBazfD4AoqxXfTElxhakhN+//lHVOORjxvwp1fX4+RJgxUvbPa07SoVy2ho6sTeti4E5JcDQeDu97bgu+ZO1c+0mU2KedpmoXBRrx8v/QA//dcn+PHSD/Da2kYUOGxxuXFHs1t1fdlsZswbPxCPnX8Y7vrZRDx2/mGYN34gbAmKIpbn2xXjKs9Xz/+JCogkI1Wfk61CA2WT2ecyRpgUj5sQqWnqOW0Wxe3KpfG4zhhjWkU+0e/O5Ztw1zub0NDUmfBYErr5KVJsGyFR+8DrDyoev7bs64iarwmmcJGuULvk7vc2wWbuPi4rnUdd9/JaXD17bFwOtVsIA/Ic4SKWsfG77Bb85aRxmDK0AMsWTMO8+kGwWKT31VYUxLXPlIrkuL3KRbbcXuNWxU/lecqgQqfiuh9UkIPv93eFi2ABoWPrWny/X9/BjP2Fw2IJF8EC5H3llbWwW9LTtjCTGXe/tylu/zWZMtctVpZnx0VH1+D+D7fgzuWbcP+HW3DR0TUoU2inWywmzKsfhGULpuGfP58UlwPU9LR/hArqTKsuDRf5SyUtOSfHZlZsV25obMWOlk5o0Zfl6O/nLAc7pe93dv0QxXOl3x43JiofHDVmAEyEpG6e7u1x1mW34OVVO7FwRvS+cPXsscixJDrfj27zPLZiOy49dhQcVhN2tXhw/4dbMLo8H4dWFWPpGRNx7YljMXPMAPykrhJ1ctvh1CmD4/ol7nh7I44aMwCPrmjAgiOrcefPJuI/Fyuf7/blONzbaXvab3u7X6c7JzLGGIt3+JFHY9ioWtWfw488Wu8QM8pMpHgt2kx8TGLMCKxmM+56bzPWN7bhu+ZOrG9sw13vbYbFrO3BZukSDEIxtwSFrmExxpIQKigRKRsKSrD+zaTSNjVx25SlmdNmVbzH1GnlIp6MGYHb64+71rFwRg3cGh+YnC58XGPM+LJ1DAPnF8ZYOnBuYYylQ6dPhItgAfI9cy+ugcfHF4wYMwq1cXxOncfxcduFMWPL1rEUnFsYM750jM3g6gUq3F6/8kCmLm0Dhk0mwgl1FTiksndPlbdbTXDZpGIxQQGYCHDZzLD3MOgxxBcIYOGMmrinZfmDwZ4nRuKDmZZiXh1dyuuvo0vbBc6+zr+2Mh83zKsLD0JXGxjO1IUKvoxZ2LttmKWWzUJR+cBmkb6H0IFBa5E9tX1rTEUe7Baz4t/2dXRhXv0g1AzIRWOLBxUFDuTaLIpVpcvzHeELkKGiVrEXIB/4aCtmjx8EIqng1AMfbcWD50xVjW1HcyeWvr0pblnMJihe2Oxp21V7UpDbG8Bd72yKei3UOaD0mSSEYp4ekOtQrYx795mT4pbxqZU78OeTxuHK579WXF82mxlThhWrfaVxqopdqCnPjYqrpjwXVcXqF4BT9fSkbH0KUyolu89lyp7WLpXjZmqKdbR4vOEidqHtymk1o9XjTcnnM8ZYSG+OJT21PYDE7YOKAuV5+oPBqPk2u33hIl2RmiOewq5WcDPfYYnLoW5vQIqBgEUza+Iq1w8rdWJsZYFi+9tmM2POuIEYVuLC7lYPyvMdGD+wIK5Yptr6LM837rE5lecpqueNAwvwxvpG1bYx67umdq/i+t3fkZ62RZvHr7j/tnsydxP2kCIXdh5w496zJqPZ7UOR0wqLWXpdicViQv2QItQP0T4Pvc/jteQcswkYVJQTlxPveX8Lxg8pTHs7+2A4ZzmYKX2/nSp9vBt2t+HO5d05YURZLlx2c1I3T/f2OFueb8eZhw3F45804PwjqmE2AYdU5CMggnD71PNSbJun2e1FdZkL/7l4Ova2R+/zSvljzriBeHfjXsX1MXFIIX4woqTHvNGXPNPbaXvab3m/Zowx49jVuAfTLrtP9e8rbrkgg9Hob09bevt0GWPpZbcSzji0Kq5PL3QNVy+NKteLdrdybmHMKEIFJWLv9+pM0GfAWF9x25TpZa/Ktre3nbc9xoyg0GnHspVrcf4R1SAChACWrdyOpWdM1DUuPq4xZnx63/ughvMLYywdOLcwxtIh3eOLGGPp19qlMo6vS99xfNx2YczYsvWea84tjDElXAhLRaHTppjMC53anzbVl2IZTpsJhS4b9kUMAi102eC0ayuEVeKyY9nK7XEXGGfVVWiavq8Hs6pil+L0iQqxpHL+FosprnBPbWUBLBoLiTFJthZ8Odhsa+rARU98Gbc/vLpwetLfjdq+NVQe6Km238UOwg4GhWrBiUQXIIeVuHDFrENUC1Uozb9SpTjFzDEDMG5QoeKFzUTbrlKxjJtOGY8Dbm94PqGb1cvz7aqfGQwKbG7qiMrTA4tyMLTEhU+2Nik2vJ32+AJizW4vJlUV4tUUXbA1mQgzRpejujRX8+dpKSCiRao+hyWvLN+uuJ+U5doTTKVdicuO615eF1fE7o7T9b1xiTHW//TmWKL15ie19oHSPBfNrEFNeW7UfF02s2KudUYUn1Jra+1o7kQgiKgcev/Zh8JkItUilmpFsEK0FMvsr8fmVJ2nJDpvHFToVPwuBxXk9DV8BmBgYY5y2z9NRdryc5QL+eblZK5bzGQiTBtehm1NHbBZ0nejpp7n8VpyTlGOHW2d3YP2AkHgnve3oNntzcgFlP6aF5lE6futKlbO5yLi4XbSuZMN06pLk9one7s9VRW7UFXsxBmHVqHYaYPLboHVQrj/3a248ZQJqtMlavOMGNDzPm+zmTFyQK5qv5DWvNGXPNObaXtaz7xfM8ZYZuxubMSwUbWqf6+sGICP338ngxEZX1meSp9uXmr6dBlj6eWyWRQfmJOr8xN4K1SuFw3I59zCmFHYLGbF+70mD63XOzTWj3HblOmFtz3GjK22Mh8Xz6jJugcWc25hrH/IxjEMnF8YY+nAuYUxlg4D1K4XpWh8EWMs/UqcDlz7Ufw4Pr0LkHPbhTFjy9Z7rjm3MMaUcCEsFQPy7Lj02FG47c0N4WR+6bGjMCBDSbPVEwCCQUwZWoRmtw9FTisOdHShzRPQNH1PxWa0TN+Xg9nwUuXph5dmZv4A4gr3MGZUu1s9KtVMPUlf4Otp39K63/VUcELtAmRPRbKU5l9bWaD4uloRrJ4oxVBV5MS7G/fEFaBIVLwvUcEptSIY5Xl2xWWpKnaF11kqJHsBOFVPT8rWpzAdDFw2M66bU4trXlob3raum1OLXLu554k1qK0sULxxqW6gvjcuMcb6n94eS/pakGFWbQVGXzwd2/d3wGmzoDzfHj4+h+TYzFg0swZ3vN39FPZFM2vgiiiEpdaesVkoXNg09Foo1t4UsUx22fjYrE7tvLG2Mh83zKuLv2mXj30pken1azObcPnxo3Hz69+G53f58aNhN2e2WHY23qiZSlpyztASF7Y3d6A834HrX1mX8QsonBf7N6Xvd3BBTly+uW5OLf7x7iYACB/Pc6zmjJ0Dm0yEY8aU46MtTVjZsB+BIPDK6p24YtYhPfad9jWPZOsFzES09EHxfs0YY+kXEALTLrtP9e8rbrkgg9H0DwOL7Fgypw6LX+pupyyZU4eBRXwDD2NG4PYGQBTd5iQidPq03c+RLnk5ZsXcUpCTmutFjLH0K8+344xDq+KuRZRzQTuWRgUqx49CPn6wNONtjzFjy9YHFnNuYYylC+cXxlg6cG5hjKWDU2V8kStF44sYY+k3NksLkHPbhTFjy9Z7rjm3MMaUcCEsFVXFLlSXuaKKolSXuRIWRUmlEpcdlz29KlyxVQhpQNSD50zVNH1fD0ZGn56x/kStqNKAPEfSn9XTvpXMftfbwZe9KZKV6nygFENvClCoLYvawNKqYuk4ko25LVWD8vv74P5slWu3wGkz4d6zJocLaLZ0euGyp6apl603LjHG+ic9jiUmE2HEgFyMGKA+z2KXDXkOS9Q5Yp7DgiKXLepzlNotAPBqguN/OpeZj829w8e+9Mr0+i122WC3mKL2X7vFFLX/stToKeeYTITpIwdg+/4OPHzuVLi9flQVuzC8NHPnRZwX+zel7zcy35Tm2vF9ixtzJwxSPZ73dX5aWCwmHDGyFIOLcrCnzYNTJg3KSP+AUftcteQW3q8ZY4wZzcB8F0aWe/DwuVPDx2WrRWBgfvYWqGSMdStx2XHfh6uinsB734dbNN/PkS42swUbGpvx0LlTsbfNg7I8B95auxNThhXpGhdjTLuqYhdqynOTeogXY31lt1hQlm+Napu6fT7YLHxrKUsv3vYYM75sfGAx5xbGWLpwfmGMpQPnFsZYOqR7fBFjLP2ydSwDt10YM75svOeacwtjTAlnABUmE/WqKEqqDCtx4YpZh8QVUQkNotairwcjo0/PWH+hVlQpmXwQKdG+pfd+l6hIVrrjSuU8ehpYyrmNpVpVsQub9rZjZUNz+Ibo8YMLUnpDdDbeuMQYY5lUVexCRUE79rR1hV+rKHDE5Vq1NgUf/42Hj33plcn1q3X/ZZlhMhGGleZiWCnnRJYZkfkmGBRo/tYb9Xe98oFefTB69/0wxhhjanY3NmLYqFrVv+/fvw/FxaUJP6OyYgA+fv+dVIeWFiYTYcLgEmxr6oCAQFme3RAFKhljklTcz5GuuCYNK8M5D36aVXExxrTT+341dnAK3W/wv837EBTAxj3tKb/fgDElvO0xxtKBcwtjLF04vzDG0oFzC2MsHTIxvogxln7ZOJaB2y6MsXTg3MIYU9IvCmER0SwAdwAwA7hPCPHXVHyunoOCeiqiwhg7eHA+MCYeWMoyiW+IZoyx9ONcy5hx8f7LGAvhfMAYY4xlr4AQmHbZfap/f+63P0n4dwBYccsFqQ4rrfg6AmPGla3Xb7M1LsZYcriNwDKN+8yYXnjbY4ylA+cWxli6cH5hjKUD5xbGWDpwbmGMpQvnF8ZYOnBuYYwpMXwhLCIyA7gLwLEAdgD4jIheEkKs0zeyvuMbmxhjIZwPGGM94TzBGGPpx7mWMePi/ZcxFsL5gDHGGOu/djc2YtioWtW/V1YMwMfvv5PBiBhj/Vm2nltka1yMMcayGx8/mF5422OMpQPnFsZYunB+YYylA+cWxlg6cG5hjKUL5xfGWDpwbmGMxTJ8ISwAUwFsEkJsAQAiehLAXACGL4TFGGOMMcYYY4wxxhhjjDHGGGOsZwEhMO2y+1T/vuKWCzIYDWOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjLBkmvQNIgUEAvov4/w75tShEtICIVhLRyr1792YsOMZY/8a5hTGWDpxbGGPpwvmFMZYOnFsYY+nAuYUxli6cXxhj6cC5hTGWDpxbGGPpwvmFMZYOnFsYY+nAuYUxli6cXxhj6cC5hTGWDpxbGGPpwvmFMZYOnFsYY6nQHwphaSKEuFcIMUUIMaWsrEzvcBhj/QTnFsZYOnBuYYylC+cXxlg6cG5hjKUD5xbGWLpwfmGMpQPnFsZYOnBuYYylC+cXxlg6cG5hjKUD5xbGWLpwfmGMpQPnFsZYOnBuYYylC+cXxlg6cG5hjKWCRe8AUmAngCER/x8sv8YYY4wxxhhjjDHGGGOMMcYYYyyNdjc2Ytio2sTv2bM7Q9EwxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcaMqD8UwvoMQA0RDYdUAOsMAD/TNyTGGGOMMcYYY4wxxhhjjDHGGOv/AkJg2mX3JXzPc7/9SYaiYYwxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMGZHhC2EJIfxEdBGA1wGYATwghFirc1iMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOsBySE0DuGjCOivQAakpikFMC+NIWTChxf33B8fZftMSYb3z4hxKxkZ9IPc0u68fIfvMt/sC475xbtjL4MHL++Dsb4U5FfjL7eeutgXW6Al/1gXPZsPS9KByN8xxxjanCMqZHJGI2QW/g7Sw0jxAgYI06OUZtU5pdsWJ5Esj0+IPtjzPb4gOyPMdvjA1ITI/fpasPx68/oy3Cwxc+5RTujLwPHry+jxw9kb35JN6N/dxy//oy+DNkWP7ddtDF6/IDxl4Hj11e2tluMvl4B4y8Dx68vo8cPcH5JF45fX0aPHzD+MnBuSQ+jxw8Yfxk4fn1xbkkfoy8Dx68vo8cPcH5JF45fX0aPHzD+MnBuSQ+jxw8Yfxk4fn2lLLcclIWwkkVEK4UQU/SOQw3H1zccX99le4zZGl+2xpUpvPwH7/IfzMueCf1h/Rp9GTh+fXH8xpqv3g7W5QZ42Q/GZT+YltsIy8oxpgbHmBpGiDGTjLA+OMbUMUKcHGPmZfvyZHt8QPbHmO3xAdkfY7bHBxgjxhAjxaqE49ef0ZeB40+PbI0rGUZfBo5fX0aPH+gfy9AbRl9ujl9/Rl8Go8ffW0ZfbqPHDxh/GTh+fWVr/NkaVzKMvgwcv76MHj+QvcuQrXFpxfHry+jxA8ZfhmyNP1vj0sro8QPGXwaOX1/ZGn+2xpUMoy8Dx68vo8cPZO8yZGtcWnH8+jJ6/IDxlyFb48/WuLQyevyA8ZeB49dXKuM3peJDGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGEsWF8JijDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjuuBCWNrcq3cAPeD4+obj67tsjzFb48vWuDKFl//gdTAveyb0h/Vr9GXg+PXF8Rtrvno7WJcb4GU/GB1My22EZeUYU4NjTA0jxJhJRlgfHGPqGCFOjjHzsn15sj0+IPtjzPb4gOyPMdvjA4wRY4iRYlXC8evP6MvA8adHtsaVDKMvA8evL6PHD/SPZegNoy83x68/oy+D0ePvLaMvt9HjB4y/DBy/vrI1/myNKxlGXwaOX19Gjx/I3mXI1ri04vj1ZfT4AeMvQ7bGn61xaWX0+AHjLwPHr69sjT9b40qG0ZeB49eX0eMHsncZsjUurTh+fRk9fsD4y5Ct8WdrXFoZPX7A+MvA8esrZfGTECJVn8UYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcaYZia9A2CMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGMHJy6ExRhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxnTR7wthEdEQInqHiNYR0VoiWiS/XkxEbxLRRvnfIvl1IqKlRLSJiFYT0aSIzwoQ0Vfyz0sq87MT0TJ5+k+IaFgm4iOioyNi+4qIPEQ0T2F+5xDR3oj3XZDi+MYQ0cdE1EVEl8V81iwi+laO/fc6rT/F+NQ+R2F+RxFRS8T6W5wovjSsw21E9LU875Uq81PdhtO8DkfHbIOtRPSbvq7DXsR3przcXxPRR0RUH/FZKd8Ge0tLLEahtF0m+H5Ut08i+oX8/o1E9IuI1yfLn79JnpYyv5TdiOgBItpDRGsiXkv78qrNI9NUlv9aItoZsV//OOJvf5CX5VsiOj7idcV9gIiGy/veJnlftMmvZ2Tf7A+IyExEXxLRK3rHkiwiKiSiZ4joGyJaT0SH6x1TMojoEvlYtYaI/k1EDr1j6kkyOS0bqcR/s7wNrSai54moUMcQE1KKP+JvvyUiQUSlmZivkb733kr2GNZfUJLt6f4kwbIfDN+7g4g+JaJV8rJfJ7+u2NYyElI59+xNmzTFcaX1PCGNMSoeN4loGBF1RqzPeyKmSds5WrK5Wu27pTSec6vEuCwivm1E9JX8ul7rMZX9oWnbJrMFxZxDZWOuJIVzJbXvU8cYL6GY8yG912WqcrMOMaqe06jlPT3ijPhb1LmLXusyFdJ5/Ohhvkm3W9W2hXQuA6W5H7iPsaWsjZjKdZiqPKS2zqiP7YlkchD1ol2jtqwpiDHt/dHp0tP2RVneD64h/ktJymWriehtIhqqR5xqtO7fRHQKSce2KZmMryda4iei06j7ePJEpmPsiYZtqIqkY+KX8naUNX02Svko5u+qeTwDsXFu0RnnF30ZObcA2Z1f0ok0thWph/MHInpJbd2lU1/iJyInEf2HpHb3WiL6awbj7vUxg3Tqk4iJr1fxE9GxRPQ5SectnxPRjIwHj74fs+V81k4x9xMaDbdd9MXtFv0Zue2Sze0Wzi364/yiLyPnFiB784vRcwtg/PzCuUVfnFvSGpuh8wvnFn0ZPbcAxs4vnFvSx+i5BeD8ojcj5xYge/OL0XMLYPz8wrlFX5xb0hqbofML5xZ9GT23AMbOLxnLLUKIfv0DoBLAJPn3PAAbAIwFcBOA38uv/x7AjfLvPwbwXwAEYBqATyI+q13D/H4F4B759zMALMtUfBGfWQxgPwCnwt/OAXBnGtffAACHAvgTgMsiPscMYDOAagA2AKsAjNVh/anFp/g5CvM7CsArad4GFWOU/7YNQGkP8+txG0lXfDHfdyOAoX1dh72I7wcAiuTfTwgtf7q2wd78aI3FKD9K22WC70dx+4SUt7bI/xbJv4e+x0/l95I87Qk6L++RACYBWJPJ5VWbR5Ys/7VK+UDeV1cBsAMYLm/35kT7AICnAJwh/34PgP8n/572fbO//AC4FMATSPJ4lQ0/AB4GcIH8uw1Aod4xJRH7IABbAeTI/38KwDl6x6Uhbs05LRt/VOI/DoBF/v1Go8Uvvz4EwOsAGtBD2+9g/N5TvNyKx7D+9IMk29P96SfBsh8M3zsByJV/twL4BFIbU7GtZdQfRJx7qn2vUGmTpiGWtJ4npDFGxeMmgGGxx6eIadJ2jpZMrlb7bpHmc26lGGP+fiuAxTqvx5T0N6Z7m8yWH8ScQyELcyUUzpXUvk+d4lM8H9J7XarklF73u2cwRrXcnJFjmtY45dfjzl30WpcpWEbd+mwT5O1rkV3HwG1IYz9wir/LXrURU70OU5GHEq0z9LE9oRJfytqHasuaghhT9r0ig8cqLdsXsrgfXGP8R0O+Pg3g/xktfvl9eQDeB7ACwBS9405y/dcA+DIiRwzQO+5eLMO96L4uNBbANr3jjoitp3NBvdqTnFsMsAzy+zi/6Bd/1uYWOaaszC8ZWO4e24ro4fwBwMmQ+nQU1122xg/ACeBo+T02AB8gA/fB9OWYAR37JFIU/0QAA+Xf6wDs1GGb6fMxG8AzAJ6Gga9xpWI9GCD+rG27aIlffh+3W/RdhqxtuyBL2y2cW/T/4fxiiPizNrfIMWVdfjF6bkliGbI2v3BuMUT8nFvSt26zNr9wbsn++LM5tySxDFmbXzi36Bp/1uYWrcsgv4/zi37xZ21ukWPKuvxi9NySxDJkbX7h3GKI+Dm3pG/dZm1+4dyS/fFnc25JYhmyNr9kKreY0M8JIXYJIb6Qf28DsB7SwJy5kAYQQf53nvz7XACPCMkKAIVEVJnELCM/9xkAM4nUn8CcpvjmA/ivEMKdRNwpiU8IsUcI8RkAX8xHTQWwSQixRQjhBfCk/Bmx0rr+1OJL8Dl9lsJ1qFVS23Ca4psJYLMQoqGXy9CX+D4SQjTLr68AMFj+PS3bYC9pjcXIks1hxwN4UwixX/7+3gQwS/5bvhBihZCOfo9EfJYuhBDvQyo2GCkTy6s2j4xSWX41cwE8KYToEkJsBbAJ0vavuA/I+9oMSPseEL8u071vGh4RDQbwEwD36R1LsoioAFID+H4AEEJ4hRAHdA0qeRYAOURkgXQD8/c6x9OjJHNa1lGKXwjxhhDCL/83si2QdRLk1NsB/A6AyOB8DfO991aSx7B+oxfnnP1GOs/zsp3c/myX/2uVfwTU21pGpeXcU61NmlLpPE9IZ4zJHjfTfY6WzvONTMQon6OcBuDfiT4jA+sxVf2Nad0ms0HsOVQP56W6SHCulG3H8tjzoV3QeV2mKDdnPMYEuTkjxzStccqUzl10WZcpoFufbS/arbocAxPEkm3Hlr60EVO6DnXsS+51fCluH/b5WKVjf3Q6aNm+srkfvMf4hRDviO7r09nWL6d1/74eUhE4TyaD00BL/P8H4C45V0AIsSfDMfZEyzIIAPny7wXIoj52DflIrzYQ5xb9cX7Rl6FzC5DV+SXdtLQVVc8fiCgXUnHzG9IfqqJexy+EcAsh3gGkfh4AXyAzua0vxwzd+iQi9Dp+IcSXQojQvr8WUh+WPSNRd+vTMZuI5kEqRL82M+GmDbdd9MXtFv0Zuu2Sxe0Wzi364/yiL0PnFiBr84vRcwtg/PzCuUVfnFvSx+j5hXOLvoyeWwCD5xfOLWlj9NwCcH7Rm6FzC5C1+cXouQUwfn7h3KIvzi3pY/T8wrlFX0bPLYDB80umcku/L4QViYiGQXrC1ycAyoUQu+Q/NQIol38fBOC7iMl2oHvAgYOIVhLRCvnmAiXh6YV0o3gLgJIMxRdyBhIPuDuFiFYT0TNENERLbEnEp0ZL3FHvS9P6S/ZzlBxORKuI6L9EVKv1c1MUowDwBhF9TkQLVN6jdV2nI76QnrbBXq3DXsR3PqSKgUAGtsEk9Po7ylJK22WyOSzR6zsUXs82mVjevuyTmXCRfGx5gIiK5NeSXf4SAAdE90CryOXPxL7ZH/wN0gDUoM5x9MZwAHsBPEhEXxLRfUTk0jsorYQQOwHcAmA7pAHfLUKIN/SNqteyPd8k4zx0twUMgYjmQnoK8aoMz7o/fe/JUjqG9UspbO8bjsJ5Xr//3onITERfAdgDaYDNZqi3tYwq9twzmTZpJqTqPCFTYo+bw+V22XtENF1+Ta9ztFScb2TCdAC7hRAbI17TdT32sb9R720yE/6G6HOoROelelE7V8qaY7nS+RCAz5F96xLoW7+7HiJzc1bFmODcJaviTEJWxK2x3apX3k5nP3Aq9aWNmIn4jNR33tf2YTqPVenuj04HLdtXNveDJ7t/RF6jywY9xk9EkwAMEUL8J5OBaaRl/Y8CMIqI/iffz5BtRWy1LMO1AH5ORDsAvArg4syElhJ6tSU4t+iP84u++ntuAbLkXCUNtLQVEy379QBuBdDnh0T2Ul/jBwAQUSGAEwG8nYYYk44H6seMbNgOU3XMOwXAF0KIrjTFqabX8cuF364AcF0G4kw3brvoi9st+uvvbRc+L+odo+cWgPOL3vp7bgH0yS9Gzy2A8fML5xZ9cW7Rd77ZnF84t+jL6LkF6P/5hXNL7xg9twCcX/TW33MLwOdFvWX0/MK5RV+cW/SdbzbnF84t+jJ6bgH6f35JSW45aAphyTcEPAvgN0KI1si/CSEEop9YrmaoEGIKgJ8B+BsRjciy+EJPXh4H4HWVt7wMYJgQYjykgbAPq7wvLfGlSwrXn+rnyL6AtB3UA/g7gBcyHOMRQohJAE4A8GsiOlLr/DMUH4jIBmAOgKdV3tKrdZhsfER0NKTGwRVaPp/1ScLtMhtyRCZlYnmzcJ3eDWAEgAmQBrzeqms0Bykimg1gjxDic71j6SULgEkA7hZCTATQAeD3+oaknTzgbi6kQeoDAbiI6Of6RtV3WZhvNCOiPwLwA3hc71i0IiIngCsBLNYzDiN/771w0BzDsv2cLp0Ulv2g+N6FEAEhxARITw6YCmCMvhGllsK5Z1Z/r9m+nykcN3cBqJLbZZcCeIKI8tWmT7Os/m5j/BTRhTd0XY8Hc+7XwkDnUD2eK+n9fSqdDwHItgtGcfRebz3J5nOabDl36W8M0G7N+n5gbiOmTqrbhyle1qz+Xhkg94tOAXCz3rFoRUQmALcB+K3esfSBBUANgKMgnZv8Sy6uYSQ/BfCQEGIwgB8DeFT+bhgzZG4BOL9kCc4tOiGit4hojcJP7NNwk2orEtEEACOEEM+nOOTY+aQl/ojPt0DqS1wqhNiSorBZAiQ9rPFGAL/UO5YkXQvgdiFEu96BMO2M2HbhdkvW4LYLU2XE3AJwfskSnFtYQkbML5xbsgLnFpYQ5xbdGD23AJxfWAJGzC0A55cswbmFJWTE/MK5JStwbmEJcW7RjdFzC8D55eAohEVEVkiDBx4XQjwnv7xbLhoVKh61R359J4AhEZMPll8LPdke8s0n70J6Knes8PTyDSsFAJoyEZ/sNADPCyF8SvMSQjRFPNHsPgCTE8XWi/jU9BR33PvStP6S/ZwoQojW0E0lQohXAViJqLSXn510jBHb4B4Az0MazBxL67pOeXyyEyA9OW+3yjIkvQ6TjY+IxkPavucKIULbT9q2wV5I+jvKZirbZbI5LNHrgxVezzaZWN7e7pNpJ4TYLRdaCAL4F7pzU7LL3wSgUN73Il+P+qw07ptG90MAc4hoG4AnAcwgosf0DSkpOwDsEEJ8Iv//GUiDvY3iGABbhRB75XbYcwB+oHNMvZW1+UYrIjoHwGwAZ8o3nxvFCEjFA1bJ+/JgAF8QUUUG5m347703EhzD+pUUt/cNRWnZD5bvPUQIcQDAOwAOh3pby4iizj170SbNhFSdJ6SV0nFTCNEVOp+WiwRthvRUhIyfo6XwfCOt5H3rZADLQq/puR5T1N/Yr/ovFMSdQwG4A9mXK9XOlbLpWK50PvRDZN+6BHrf755RKuc02RRjonOXbIozGbrGnWS7VZe8neZ+4FTpaxsxE9tB1vedp7B9mJZjVYb6o9NBy/aVzf3gmvYPIjoGwB8BzIm4Jp0Neoo/D0AdgHflY9s0AC8R0ZSMRZiYlvW/A8BLQgifEGIrgA2QbujJFlqW4XwATwGAEOJjAA4APV6LzxJ6tSU4t+iP84u++ntuAYx7jgUhxDFCiDqFnxehra2otuyHA5gi71MfQnqS67sGij/kXgAbhRB/S3XsKvpyzMiG7bBPxzwiGgzpXPZsIcTmtEcbry/xHwbgJnmb/w2AK4noojTHmy7cdtEXt1v019/bLnxe1DtGzy0A5xe99ffcAuiTX4yeWwDj5xfOLfri3KLvfLM5v3Bu0ZfRcwvQ//ML55beMXpuATi/6K2/5xaAz4t6y+j5hXOLvji36DvfbM4vnFv0ZfTcAvT//JKS3NLvC2EREQG4H8B6IcRtEX96CcAv5N9/AeDFiNfPJsk0AC1CiF1EVEREdvkzSyEN5FmnMMvIz50PYHmiwfepii9iup9Celqc2vwqI/47B8B6tff2Mj41nwGoIaLhJD2R+wz5M2Kle/0l+zmx76uQ3wsimgppH0p44ExhjC4iygv9DuA4AGsU3trTNpKW+CL0tA0mtQ6TjY+IqiANtjtLCLEh4v1p2QZ7SWssWS/BdplsDnsdwHFyri2SP+d1+W+tRDRN3hbOhvZtMZMysby93SfTLubYchK6c9NLAM4gIjsRDYfUUPwUKvuAvK+9A2nfA+LXZbr3TUMTQvxBCDFYCDEM0jpdLoT4uc5haSaEaATwHRGNll+aCeW2VrbaDmAaETnl/XcmemhnZbGszTdaENEsAL+D1Eng1jueZAghvhZCDBBCDJP35R0AJsn7R7oZ+nvvrQTHsH4jDe19w1Bb9oPkey8juVo9EeUAOBbScUmtrWVEUeeevWiTZkJKzhPSGaDacVPehszy79WQ1tsWPc7RUnW+kc4YZccA+EYIsSMidl3WYwr7GzO+TWaSyjnUmciyXJngXCmbjuVK50PrkGXrUtbbfveMSXBOo+cxLUoP5y5Zsy6TpFufbS/arRk/Bqa7HzgVMcr62kbMxHaQ1X3nKW4fpuVYlaH+6HTQsn1lcz94j/ET0UQA/4S0/WRbwe2E8QshWoQQpRHHthWQlmOlPuHG0bL9vADpKXah+xlGAdiSwRh7omUZtkNqS4KIDoF0A8/ejEbZe3q1gTi36I/zi776e24BjHuO1RMtbUW1tvDdQoiB8j51BIANQoijMhBzpF7HDwBEdAOkm7V/k/5Qw/pyzMiGPolex0/S9ZL/APi9EOJ/mQo4Rq/jF0JMjziO/A3An4UQd2Yo7lTjtou+uN2iv/7eduHzot4xem4BOL/orb/nFkCf/GL03AIYP79wbtEX55b0MXp+4dyiL6PnFqD/5xfOLb1j9NwCcH7RW3/PLQCfF/WW0fML5xZ9cW5JH6PnF84t+jJ6bgH6f35JTW4RQvTrH0g3vAgAqwF8Jf/8GEAJgLcBbATwFoBi+f0E4C5ITzL+GsAU+fUfyP9fJf97fsQ8lkDagQFpI3oawCZIN3xUZyI++W/DIFVDM8XMIzK+vwBYKy/HOwDGpDi+CkiDXloBHJB/z5f/9mNIFfM2A/ijTutPMT61z5GnuRDAhfLvF0WsvxUAfpCGbVAtxmp5vqvkGCLXYWSMqttIBr5jF6SiVgUx8+j1OuxFfPcBaI5478qIz0r5NtiH3KQYi9F+1LbLBN9Pohx2nrzeNwE4N+L1KZAGsmwGcCcA0nmZ/w1gFwCfvP2fn4nlVZtHliz/o/LyrYbUQKmMeP8f5WX5FsAJPe0D8jb1qbxengZgl1/PyL7ZX34gNdJf0TuOXsQ9AcBKeVt6AUCR3jElGf91AL6R9+FHQ9tvNv8kk9Oy8Ucl/k0AvkN3W+AeveNMJv6Yv28DUMrfe1qXW/UY1l9+kGR7uj/9JFj2g+F7Hw/gS3kZ1wBYLL+u2NYy2g8Uzj0Tfa9QaZOmOKa0niekMUbF4yaAUyCd430F4AsAJ0Z8TtrO0ZLN1WrfLdJ4zq0Uo/z6Q5D7PiLeq9d6TGV/Y9q2yWz6QcQ5FLIwV0LhXEnt+9QxxrjzIb3XpUpOSXo/0CFG1XMatbynR5wxf98G+dxFr3WZouXUpc82Qd7OmmMgMtAPnIIYU9JGTOU6TFUeUltn6GN7QiW+lLUP1ZY1BTGmvT86jft7XBzQ4RpVGuN/C8DuiO3nJb1jTib+mPe+iyw7hmlY/wTgNkgFSb8GcIbeMfdiGcYC+B+k481XAI7TO+aI2JXyUa+v0Wd4vXJu0XkZYt7L+SXz8WdtbpHjy9r8kublVmsXTwFwX8T7Ep4/QLpXbo2R4of0tFMB6eEVodx2QYbi7vUxAzr1SaQifgBXAeiIWN9fARhglPhjPuNaAJfpsf6zaT1kefxZ3XbpKf6Y976LLDvuaFj/Wd1u0bgMWdt2QRa3Wzi36P/D+SXr48/a3CLHl5X5xei5ReMyZHV+4dyS9fFzbknfus3q/MK5Jbvjz/bconEZsja/cG7RNf6szi1aliHmvZxfMh9/1uYWOb6szC9Gzy0alyGr8wvnlqyPn3NL+tZtVucXzi3ZHX+25xaNy5C1+SVTuSV0IzJjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjGWXSOwDGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDF2cOJCWIwxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY0wXXAiLMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOM6YILYTHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDFdcCEsxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxxhhjjDHGGGOMMcYYY4wxpgsuhMUYY+ygQ0TDiGhNpj+biAYS0TPpmC9j7OBFRPOIaKzecTDGshMRzSGi38u/X0tEl+kdE2Ps4MPnQowxoyMis94xMMaUEdFDRDRf/v1dIpoi//4qERXqFJNu82aMZQ4RHUVELUT0lfzzFhFNIaKlSXxGIRH9KsHfBxPRi0S0kYg2E9EdRGRLzRIwxrRS2t9T+Lk/iPh/uF3Tw3SlRPQOEa0mok+JKLeH988jIkFEY2Lm/UrflkA7IrIR0d+IaJOc014kosGZmj9jBwsiOj4iV7UT0bfy748k8RnnENFAlb89RERbiWgVEW0gokcS7ctEdF8qrmMTkZWI/irnjy+I6GMiOqGvn8sY651EuUbOIXeqTKepvyTRNW0iWkBE38g/nxLREX1cHMZYL6j1yfbxM1XbIKkm55mdcu7aSETP9aXNwvfisIOBkfd7IvpjRNslEPH7wj585gQi+nEq44z5/B77iJI9P0vFPBk7mBDRQiJaT0SP92LabURUmuDvFUT0pHzd53P5XGkUSeOQBBFdHPHeO4nonIj/XyqfD30t7/+3EZE16QVkjGVEmnNJqF2zVs4HvyUik/y3pK5ZpyIexpj+0pxz2hVei+xfWUNEcyL+9nOSrmWHctR9WvqGGTtYUQ/3j2USES0homOSnCblbQ/5c+Pudenh/b8hImeq44iZxzAi+lnE/9Oy7EzChbAY04h4sBNjrA+IyCKE+F4IwReJGGOpNg8AF8JijCkSQrwkhPir3nEwxg5ufC7EWP8nX9j5Rr5BdgMRPU5ExxDR/+RBBFPln4+J6Esi+oiIRsvTXkJED8i/j5MviiteiJIvnj8qf85GIvo/+XUiopvlab8motPl1+8KXWAnoucj5nMeEf1J/v3nJA2a+oqI/hnqByZpENetRLQKwOFpXoWMsRQTQvxYCHEgk/OUc5FJj3kzxtKHiCwJ/vyBEGKC/HOMEGKlECJuAFWCzygEoHgjExERgOcAvCCEqAEwCkAugD8ltQC91MNyM9YvJbO/p2heRwH4QQ9vVfL/ALwvhBgP6RqRt4f3/xTAh/K/evkzgDwAo+Wc9gKA5+Rcl1acz1h/pbRtCyFeD+UqACsBnCn//+wkPvocAIkGo18uhKgHMBrAlwCWk0KhTiIyCyEuEEKsS2Leaq4HUAmgTggxCVLuy9M6Md/zx1jvpTLXKPWXhPpSNMYyG8AvARwhhBgD4EIATxBRhbal6T1uTzCWOgmOy+cgcRsk1W6Xc1cNgGWQ2jRlmZgx5xR2sNF7vxdC/Cmi7dIZ0b+zVI5Pc3skwgQAaSmElWSO0HR+lg6cy9hB4FcAjhVCnJnKD5X7Q58H8K4QYoQQYjKAPwAol9+yB8Ailb6WCwEcB2CaEGIcgEPl9+ekMkbGWEqlJZfIQu2aWgDHAjgBwDUAoHbNmjHW76Uz56i5XT7XOhXAA0RkIqJZAC4BcIKcoyYB+Ajd7R3GWLxCKNw/pse5txBisRAiqYfDpbHtkey9Lr8BkNZCWACGAQgXwuJ2V3pxISzWL8kVB38T8f8/EdEiIrqciD6Tq4leF/H3F0iqpL6WiBZEvM6DnRjr54ioWh6AebmcC94kqYrxRSQ9MeFLIlpBRMUJPmMySdWJVwH4dcTr5xDRS0S0HMDb8qDQNfLfVhBRbcR73yWp+qeLiB6QB2B+SURzIz7rOSJ6TR7oeVP61gpjLFPkff4/cg5ZQ0SnyznlPblt8joRVcrv/T+5HbOKiJ4lIidJTwqfA+BmedD2CJKquK+T2ztP6ruEjLF0Im0FJ84hhafuyvniNTnXfEByhXQiOpGIPpHbIW8RUbn8epncTlpL0hMZGkh+6gOpFI9gjPUPSvu43F/yJ7ldsiIiV4yQ//81Ed1A8hNgYs6FVM9tiOg4korbfEFETxNRrj5LzRjrpZEAbgUwRv75GYAjAFwG4EoA3wCYLoSYCGAxpIHQAHAHgJFEdBKABwH8UgjhTjCf8QBmQOqvXUzSk4JPhnTDcT2AYyCdI1UC+ADAdHm6QeguIjwdwPtEdAiA0wH8UL4gHwAQuhHABeATIUS9EOLD3qwQxljvJNNfkuAzthFRqdwOWU9E/5LPZ94gohz5PYfK/SdfkVxML8HnnUNEL5LUj7uRiK6RXx9GRN8S0SMA1gAYQhFPySOis+V5rCKiR+XXyuS+nc/knx+mat0x1t+RdN1mjfzzG/m1y4loofz77SRdkwERzSD5SZcJzmEU90fqLr75PwCPJhHfUUT0itJnEFFtxLnVaiKqAfBXACNCeSjm42YA8AghHgQAIUQA0s2C55HUN/wfIhovz+tLIlos/76EpL7ko+Sc9QxJ/UePE0kFZ9Ryqvz+vxHRSgCLkvt2GEutbN/f5Wl/SlIfyBoiujHi9faI3+cT0UPy7w8R0T1E9AmApyAVb7hEzgGh85YjSSocvIWI1IqKewEMBsLFx1ULYZHUt3IEgPMBnBHz53w5l3wrxxV6UnjcchHRhZF5iiL6namH/mGSCh2fC+ASOZdBzm1dAGZk2/fKWG9ke85S2k/ln4eou6j4JXLemQLgcfm9qgMpheR2AI2QBlnF3WdH3ffB9DWH/B+Ai4UQXfK8dwshnpL/fjcRrSTpfC/yXsBtRHQjEX0BaQAGY4aX7bkmwkBSvgYU2VcT25fyR5Kud38IqZCDkisgFXvYxkLGkAAAGURJREFUBwBCiC8APAzg1yT18Twnz2cuEXUSkY2IHES0RX79XTkvfCrPa7r8upmkfqHQfcW/lF8/iqTr6C8BSEVRP8ayGqWmT1bxWm9Px2WFNshPiOiFiL8fS0TPy7+3y/luLRG9TXLxKlK5B0YLIcQyAG9AHsCkttykcO+ewrKo3YsTeT7I9/4y3Snt8/LrB8V+r9IeUevPOVVeR6uI6H2SitMsAXC6HPvpJLWfHpbjaCCik4noJpLOtV4jIqv8WYvlPLKGiO4lCvfXqvbLEtH1cg5RvR9P5fxM7btRjCFmntx/zA5qRHQPgGoA/yWiFiK6LOJva4homPx7b+6bPRqATwhxT+gFIcQqIcQH8n/3AngbwC8Upv0jgP8XKjAshPAKIf4qhGjtxWIyxtIszbkkihBiD4AFAC4iyVHUfc1abYyi0rXrlMTDGMu8TOYcJUKI9QD8AEohtVkuE0LslP8WEEI8IIT4NhXzYqyfirx/7DOKuTZBiWugKF3/ierLkF87hzTUT5D7IObLv/+Vusco35LgsyPbHsXyfFbLnxu6t+1auU3yLkn3wyQsHkUq97pEzkv+/53ysi2EVHD9HSJ6R/6b6j09JF0XWkvSuMmpEXGFHr49TP4evpB/Qg+5+yuA6fJ3dUnMsucS0YPyPFcT0SlJbANMARfCYv3VAwDOBgCSbtY7A1LHbg2AqZAGRU0moiPl958nV1KfAmAhEZXIr/NgJ8b6MSIaDeBZSE+V2QugDtLAyUMhPVHbLQ/O/BhyTlHxIKSb7uoV/jYJwHwhxI9iXl8G4DQ5jkoAlUKIlZBO9pYLIaZC6ui+mYhc8jQTIA3OHAfpAtqQpBaYMZaNZgH4Xm5r1AF4DcDfIeWNyZDaNH+S3/ucEOJQOdesB3C+EOIjAC9ButlvghBiM4DfA5goPwn8wkwvEGMs43oqOKHmXkjtl8nye/8hv/4hpCdGTQTwJIDfya9fA6mNUgvgGQBVAECJi0cwxgwuwT7uArBCbpe8D2kgEiAVs7lDfurcjgQfPQEx5zYkFYu4CsAxQohJkJ4ifmnKF4oxlk5bhRBfCyGCANYCeFsIIQB8DekJKAUAniap0MztAGoBQH7/OZAGVb0nhPhfD/N5UQjRKQ94egdSf+8RAP4tXzTfDeA9SP07H0C64DQW0gXB3XI/zOGQnjI1E8BkAJ8R0Vfy/6vl+QQg9RsxxjIvmf4SLWoA3CWfzxwAELrAHCq+NwHSPt+TqfK04wGcSkRTIj7/H0KIWiFEQ+jNJD0I4SoAM+R2U2hQwB2Qnoh3qPx59yWxLIwdtIhoMqRCKocBmAbg/4hoIqILX04BkEvSwKLpkM5XgMTnMGr741hI5yeJnioXurHlKyL6o8LfIz/jQkjnSxPkOHdA6svdLPftXh4zbS2AzyNfkAczbIfUHxRq5xRAuqEwVFQvcrknQnra3VhIbZwfyusmUU61CSGmCCFuTbDcjKWVEfZ3kgry3gipaN0EAIcS0TwNizcYwA+EECcDuEeOaULEQKdKSOc3syHdQKdkM4CTiUjLNaC5AF4TQmwA0CSv25CpAC6GtPwj5M9UW65nAZwUMe3pAJ7U2D88EsB2hQFZKyHlOj2/V8b6LEtzVmR8avvpBACDhBB1cn/ug0KIZyDtm2fKualTwyy+gHR9KrQ8SvfZpSOHhPxRCDEF0nnaj0I3U8uahBCThBD88ChmeNmea2JMQM/3t4X7UiANjjpDnu7HkPp1lcSdI6G7PfGlPD0gLfsa+XMOA/BJxPst8j15v4F0/RuQBlG0yOvhUEjrdrj8t0kAFgkhRiVaYMb6iT71yWq41qt6XI5tgwB4FcAYkovdQMp/D8i/uwCslPPHe+jel9XugdHqC3meifpN4u7dU/icRHGEzgf5GjjLBnH7vIZ+wyj9YL9XvLajYDGA4+V9f46QCpIvBrBMPm9aJr9vBKT+lDkAHgPwjnyu1QngJ/J77pTzSB2AHEj9PyFx/bIkFRQuA3CukIuL9yCUyxJ9N4liAPcfMwYIIS4E8D2ksTy3K72nD/fN1iH+vCbWjQAuo4jCFESUDyBXCLFVwzwYY1kgzblEaX5bAJgBDIj5k9oYxbhr1zwmgDHjynTOUfjswwAEIY3ProV0bsIY0y58/xiAyxF/bSJRDRSl6z9RfRkR89FcP0Gex0kAaoU0RvmGHj475DoAX8rTXAngkYi/jQFwPKR7Va6R+yDUJLrXJY4QYinkPCiEOLqHe3pc6B4f2SYv27Hy8i6R37MHwLFyv8rpAJbKr/8ewAdyn1Bsvr0a0vWmcfLyL08UM+uZRe8AGEsHIcQ2ImqSL/aXQ7rQfSiA4+TfASAXUgf2+5ASf+iGmyHy603gwU6M9WdlAF4EcLIQYp2cL94RQrQBaCOiFgAvy+/9GtJNc3GIqBBAoRAidPPQo5CfpiJ7UwixX2HSpyA9ReoaSAWxnpFfPw7AHOquvOyAXGgC0gDSFnm+6wAMBfCd9kVmjGWhrwHcKlcVfgVAM6STyjdJetCSGcAu+b11RHQDgEJI7ZjXVT5zNaQnZb0A4IV0Bc4YyxpbhRBfAwARhQtOEFGo4EQcuTL6DyAVogi9bJf/HQxgmVwgwgYgdOH8CMiDFIQQrxFRs/x6ZPEIQLpBZk/Klo4xpje1fdwLqe0CSDfnHCv/fjiAefLvTwC4ReVzlc5tCiENrPifPC8bpE51xphxdEX8Hoz4fxDStYjrIfW9nETSE6bejXh/DYB2SE9j6Yno4f/dfxBip9x3MwtSP3AxpH6YdiFEG0kJ52EhxB8UJvdovKGYMZZ6yfSXaLFVCPGV/PvnAIbJuSFPCBFqbzyBmJv9FbwphGgCACJ6DtJ50gsAGoQQKxTePwPA00Iq3IeIfuJjAIyNOB/LJ6JcIUS7wmcwxrodAeB5IUQHEN4PpwO4G9IDkPIhtT++gHTjz3QAoafHqZ3DKO6P8u8vaSj+8IEQIpw7iOiomL9HfsbHAP5IRIMhDZzcGDHf3vgA0vJtBfAfAMcSkRPAcCHEt3LfzqdCiB1ybF9B6is6gMQ5dRkY058R9ve5AN4VQuyV//84gCPR83WZp3s4z3hBSMWC15H8tM5IRDQIwB8gFYZ5nYj2CiGeJaLVAKaH+lsi/BRSkQtAevDBT9E90OpTeWAEiOjfkNa7T2m5hBAvkPT0y2kANkK6QfF/AH6NvvcPfw79vlfGUiEbc1YktT7elwFUE9HfIbUl3kjiMyNFNmgU77MTQuxNYw45jaQnH1sgFRMcC+l6OcDtGta/ZHuuiaTl/rbIvpTp8rK55WleSnaGQgg/EW2WB3NNBXAbpLaZGdK5U8hz8r+fo/ta+nEAxpP8hHNID3SogbTePuWB5uwg0tc+2WlIfK1X83FZvuflUQA/J6IHIV2DDg3ECkZ81mMAnuvhHhitQhOORi/v3dMQR0/ng4xlUtQ+L4T4gIjqcHDt92rXdmL9D8BDRPQUutsSSv4rhPDJ9+yZIRUUBLofGgUARxPR7wA4IV23XovusQqx6+tqSIWGF2iIMSS0MhJ9N4liABLnQaU4GTtYpe2+WSHEFiL6BNJDcRUR0fGQBnUXAviZkB6szRgznkzcg682RlHp2jWPCWCsf0vHPn4JEf0cUiGZ0+Vzu/AfiWgcpLHWeQCujCgkzBhLLPbahFoNFLXrP2p9GcnUT2gB4AFwPxG9EjGfnvpJjoD8oFohxHIiKpGvYQHAf4QQXQC6iGgPpPovO1TWQaJ7XbQ4FOr39HgR3W/TFdGnM0x+3QrgTiKaAOkauJYHphwD6cEvAAAhRHOC9zINuBAW68/uA3AOgApITyKYCeAvQoh/Rr5JviH5GACHCyHcRPQupJM6gAc7MdaftUB6avYRANbJr/U0YLM3OpRelAdiNpH0NMrTIVVTB6SLUKcIIb6NfD9JlZEj4wv0ISbGWJYQQmwgokmQnmp5A6RKv2uFEIcrvP0hAPOEEKuI6BwAR6l87E8gnZidCKlzepwQwp/q2BljWaM37RcTgANytfhYfwdwmxDiJflc6doe5p+oeARjzPgU93EiukwIESo805tzE6VzG4JUXKI3TxdnjBlDAYCd8u/nhF4kogJIT0o5EtJFo/lCegqwmrlE9BdIT2Q5CtLTVcwAfklED0O6YfdISE/FAYAVAH4DqSBNCaRi5KHPfxvAi0R0uxBiDxEVQyqMk+ipv4yxNEuyv0SL2LZHTm9DU/m/Yh9wAiYA04QQnl7GwRiLIN+IshVS++IjSIUPjoZUJGa9/DafyjmM4v4o35iX7L6tJPwZQogn5IELPwHwKhH9EsCWBNOuAzA/8gX5xqAqAJsA+CENcN8C4E0ApZCe7Bd504/auVeinJqK5WYsLbJ8f48KNeJ3R8zfeppX5H6rVC3vhwC+FkI0EdFPALwtF8zaFlsESz6/mQFgHBEJSOdNgohC50qaiwzLnoRUWPgbSMUqBFHC4sIhmwFUEVGefFNlyGRIg22N8r0ylpQs2rZV91Miqof01N0LIe3f5yX52QAwEVL/CpD4Prve5pBNkHJIvhCiNSb+4QAuA3CoEKKZiB5CdN7lPMD6vSzKNZG03N/Wm89fB6n9EPkE7cmQijcA0oMQToBU2PMtSPfYmNHdTxwZW2RcBOBiIURsQZujehknY4aUgj7Znq71Jrs/PQhpIJYHUgEptXvfBBLfA6PVRAArkbjf5CEkvnevpzg4p7CsEbvPE9HbAJ7HwbXfx8an2J8jhLhQvof/JwA+J6LJKp/XJb8/SESR7a8gAAsROQD8A8AUIcR3RHQtEp+/fAap4GmxUH4gt5LQ+Znid6MhBoD7jxmL5YeUc0JC+0xv75tdi5hrPyr+DOm+lvcAQAjRSkTtRDRcCLFVPn95XR6QbksyBsZY5qU6l8QhompI/R17ABwS+ScojFEEsF7h2jWPCWCsf0h7zolwuxAi9qHZawFMglRw52sAE4joTvT+fj3GDkbhc+8eaqAoXv9J0Jehefyh/ACSqZBqs8wHcBGAGUn0kyjRVB+hh3td1HJcMmL7bSL7dEIxXQJgN4B6eX58r68OTD2/hTHDeh7ALEhV+16Xf86TnwABIhpERAMgDcBqlg8AYyA9AYEx1v95AZwE4GwiUn1aQk+EEAcAHCCiI+SXzkxi8mUAfgegQAgReiLl6wAulm/4AxFN7G1sjLHsR0QDAbiFEI8BuBnAYQDKiOhw+e9WIqqV354HYBcRWRGda9rkv4GITACGCCHeAXAFpHZOLhhjLII8UGArEZ0KACSpl/8cWaDiFxGT/Q/SAAUQ0XEAiuTX3wYwXz63AhEVE9HQNC8CYyxzkt3HV0B+ggMinmag0QoAPySikfK8XESk5ckJjDHjuAnAX4joS0RfvLodwF1CiA0Azgfw11DeUbEawDuQ8sb1QojvIfUFrwawCtLgjN8JIRrl938AwCKE2ATgC0iFsj4AACHEOgBXAXiDiFZDKiJRmYqFZYz1XpL9Jb0i9+u2yRflAW1tl2Pl9lAOgHmQzpMSWQ7gVCIqAcIX6AHgDQAXh94kPzWKMdazDwDMIyInEbkgXeP5IOJvl0Ea+PwBpGIOX0bctKImY/ujfPPxFiHEUgAvQnqSXrhvV8HbAJxEdLY8vRnArQAeEkK4hRBeAN8BOBXSE3sj10Ei3yLFOZWxNDDC/v4pgB8RUam8f/4U8qAkALuJ6BD5ms1Jqp+QOAeoWQ3gaCIaKITYDenmu7sAPKHw3vkAHhVCDBVCDBNCDAGwFcB0+e9TiWi4HOfpAD7sYbmeBzBXfu1J+bUe+46EEB0AHgZwm/yZkHObE92FLLLle2WsN7I9Zynup0RUCsAkhHgWUt/IJPn9mnKTfG1pIaR+lNd6ej96n0PcAO4HcAcR2eT3lcnXuPIh3QjeQlJRwBM0xMGYUWV7rumL9yEtWw4R5UF66JuSmwDcGNHPMgFSAbB/yH//ANIDET4W0hO+SwCMBrCmh/m/DuD/yffigIhGyeuYsYNKCvpk+3qtN6oNIl/7+R5SO+XBiPeZ0F084mcAPuzhHpgeEdEpAI4D8G8k7jdRu3cvFHOf4mAskxT2+UlIvt/QsPu9CsX+HCIaIYT4RAixGMBeAENiY9coNDBzH0njmXoqhPMagL8C+I/cRlKlcH6m9t1oiYH7jxmLtg1ynwlJBQSHy6/39r7Z5QDsRLQg9AIRjSei6ZFvEkJ8A6kYcOT50V8A3E1EhfJ0hN4N+maMZd42pDaXRCGiMgD3ALhToT9IcYwiKV+75jEBjPUP25DGnKPBXwDcQkSDI17jIliMJZaonyHpGigqfRlJkfsNCoQQr0K6L6Ve42d/ALnvlKQiXvtiH3akQaJ7XRoAjCUiu3xuNDNiusj1mOjeFy0KAOwSQgQBnAWpGFfsPGK9CeDXof8QUZHK+5hGXAiL9Vvyzb/vAHhKCBEQQrwB6ea/j4noa0jV0fMgdfZaiGg9pM7iFXrFzBjLLPmm29mQGmL5ffiocwHcRURfQfnJvGqegTTA6qmI164HYAWwmojWyv9njPVf4wB8KuePawAshnSydiMRrQLwFYAfyO+9GsAnkAZZfhPxGU8CuJykweQ1AB6T2zpfAlgqD+xkjLFYZwI4X841ayENPgCAawE8TUSfA9gX8f7rABxHRGsgDbBsBNDGxSMY6996sY//BsCl8ntHAmhJYl57IQ1Y+Lc8/ccAxvQucsZYpgkhtgkh6iL+f44Q4pnIvwkhPhZCjBJCTBRCXCWEGCb//Tz5phoIIb4TQowUQuxJMLvVQojDhRA1Qoh/ydMJIcTl8nzGCSGWRcRyvxBioPy7TwjhEkI8F/H3ZUKICUKI8UKIyUKIFfLrXFSYMf0k01/SF+cD+Jc8Hxd6brt8CuBZSAUonhVCrEz0ZiHEWgB/AvCeHPdt8p8WAphCRKuJaB2kAaqMsR4IIb4A8BCkffETAPcJIb6U//wBpHOVj+XCMB50DwpPJJP742kA1sg5pw7AI0KIJgD/I6I1RHRz5Jvlm5RPglRQbyOADZCW68qIt30AYI8QolP+fTB6WG75Gno6cipjKWOE/V0IsQvA7yHdk7IKwOdCiBflP/8ewCsAPgKwK8HHvAzgJCL6KnagU4L5fgPgjwBeJ6IvAFwK6XrzXxQGm/4UUuGZSM/KrwPAZwDuBLAe0k2DzydaLiFEs/zeoUKIT+XXtPYd/QHSd7VBzmmnAjgpYkBGVnyvjPVGtuesBPvpIADvym2TxyDtp5CX5R45NykNTLhZbkNsgPRwyqPl9kVPcfQlh1wF6UbqdfJ1qlcAtAohVkG6Jv4NpHsCeypWzJhhZXuu6Qt52ZZBanv8F1IbRel9LwF4AMBHRPQNgH8B+LncfgGk9VKO7uLAqwF8raEg2H2QBph/IeeYf0LlKeSM9XN96pNNwbXehxDfBnkcwHdCiPUR7+uAVNR3DYAZAJbIr6vdA6PmEnleGwH8//buHlSOKooD+P/YiEELtbKxFishdlZ+gIWVRdBCiApWBkRtFJsICSraKNGAIvYJIoiggpLGBCw0Bj8aERHtRLB4IoiPYzETWNZd3ofPnex7vx8sb5k3d+6B5V5m7r1z7kNJ7uruX7cYN1m2dm/WTuOAqcy3+RM7HTdcw3a/lWXjOS9X1ddj/Rcy3LOcy/DS5VdV9cB2Lj6u430rQ5LOj7PknmeuzNmxzPs7eT5b9ttsJwbjx/Av7ya5YXyv51iG9rbrTddm5n7uqaofxuu+kGE97ryTGeZ9LjudIYHF52Od5zOMi1xcUBa4suxpXzK6ZrwX+TbJJxkSnj+/4Lxl7ygumrv2TgDsD/9Hn3Ooqn6Z+Ty17MQxac5rST6squ+q6kKSzQzPIMACs+vHMiQsn7WbHCiLxjJ26rokH4z9xWcZ1qZs59rHkxwey72Y5Ogu6l661qW7f86Qj+Gb8e/s89CbST6qqnNbrOnZjjeSHB3HRm7JMD6VDHNPm1V1qaqenCtzIsn14zrAS0nu3EF9LFBbz/HBeqphN4Yvkxzp7u+njgcAAGBdVdXVSTa7++8adnw73d23TRwWcIWpqkNJ/uzurqoHMww2W9wL7JmqOp5ko7tfmToWYP1V1bXdvTF+fybJTd39xJJzH05ye3cfW2GIAAAAAAAHUlWdSnKxu9+eObZhIxPYv7R7AAAAACCxaw37VFXdmmFHhvckwQIAAPjPbk5yZkw4/FeSxyaOB7gyHU5yqqoqye9JHp02HGBdVdUjSeaT0Zzv7seniAfYt+6rqmczzJf+lGF3bAAAAAAAJlRVXyT5I8nTU8cCrIZ2DwAAAABcVt09dQwAsBaq6vUkd8wdfrW735kiHgAAAAAA9k5V3ZvkpbnDP3b3/VPEA0xPvwAHh/YOrBN9FrAK+hpgr61yDW5VPZfkyNzhs919cq/rApbT7oGDqKpuTPLpgn/d3d2/rToeYD3pS4BV0ucAq6bfYSsSYQEAAAAAAAAAAAAAAAAAAAAAADCJq6YOAAAAAAAAAAAAAAAAAAAAAAAAgINJIiwAAAAAAAAAAAAAAAAAAAAAAAAmIREWAAAAAAAAAAAAAAAAAAAAAAAAk5AICwAAAAAAAAAAAAAAAAAAAAAAgElIhAUAAAAAAAAAAAAAAAAAAAAAAMAk/gHJELZy9KlirwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 4896x288 with 18 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df_cars_out, height = 4, y_vars = 'selling_price', x_vars = df_cars_out.columns, kind = 'scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df_cars_out.copy()\n",
    "df = df.reset_index(drop = True)\n",
    "X_train, X_test, y_train, y_test = train_test_split(df[['year', 'km_driven', 'mileage', 'engine', 'max_power']], df['selling_price'], test_size = 0.3, random_state = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regression = LinearRegression()\n",
    "regression.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train: 0.7257661352472929\n",
      "Test: 0.7193060753361276\n"
     ]
    }
   ],
   "source": [
    "# Ver score de entrenamiento y test\n",
    "print('Train:', regression.score(X_train, y_train))\n",
    "print('Test:', regression.score(X_test, y_test))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El score empeora, por lo que alguna variable categórica debe ser importante para la predicción."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.1. Interpretación de los coeficientes y del intercepto\n",
    "\n",
    "Los coeficientes de la regresión brindan una intuición del impacto o la fuerza de una característica en la predicción/estimación de la variable objetivo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df_cars_out.copy()\n",
    "df = df.reset_index(drop = True)\n",
    "X_train, X_test, y_train, y_test = train_test_split(df.drop(['selling_price'], axis = 1), df['selling_price'], test_size = 0.3, random_state = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [],
   "source": [
    "regression = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regression.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train: 0.7537636056125895\n",
      "Test: 0.7460481658476743\n"
     ]
    }
   ],
   "source": [
    "# Ver score de entrenamiento y test\n",
    "print('Train:', regression.score(X_train, y_train))\n",
    "print('Test:', regression.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "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>columns</th>\n",
       "      <th>coef</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>year</td>\n",
       "      <td>4.374983e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>km_driven</td>\n",
       "      <td>-8.320565e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>seats</td>\n",
       "      <td>2.010244e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mileage</td>\n",
       "      <td>-9.494508e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>engine</td>\n",
       "      <td>-9.737537e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>max_power</td>\n",
       "      <td>7.035382e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>owner_First Owner</td>\n",
       "      <td>4.167373e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>owner_Fourth &amp; Above Owner</td>\n",
       "      <td>1.238599e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>owner_Test Drive Car</td>\n",
       "      <td>1.534772e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>owner_Third Owner</td>\n",
       "      <td>7.735970e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>seller_type_Dealer</td>\n",
       "      <td>2.090983e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>seller_type_Trustmark Dealer</td>\n",
       "      <td>4.670858e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>fuel_CNG</td>\n",
       "      <td>-1.016028e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>fuel_Diesel</td>\n",
       "      <td>1.377450e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>fuel_LPG</td>\n",
       "      <td>9.420335e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>transmission_Automatic</td>\n",
       "      <td>5.324844e+02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         columns          coef\n",
       "0                           year  4.374983e+02\n",
       "1                      km_driven -8.320565e-03\n",
       "2                          seats  2.010244e+02\n",
       "3                        mileage -9.494508e+00\n",
       "4                         engine -9.737537e-01\n",
       "5                      max_power  7.035382e+01\n",
       "6              owner_First Owner  4.167373e+02\n",
       "7     owner_Fourth & Above Owner  1.238599e+02\n",
       "8           owner_Test Drive Car  1.534772e-12\n",
       "9              owner_Third Owner  7.735970e+01\n",
       "10            seller_type_Dealer  2.090983e+02\n",
       "11  seller_type_Trustmark Dealer  4.670858e+02\n",
       "12                      fuel_CNG -1.016028e+03\n",
       "13                   fuel_Diesel  1.377450e+03\n",
       "14                      fuel_LPG  9.420335e+02\n",
       "15        transmission_Automatic  5.324844e+02"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features = X_train.columns\n",
    "pd.DataFrame({'columns': features, 'coef': regression.coef_})"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note que las características (\"features\") se encuentran en diferentes escalas, rangos o grados de magnitud, razón por la cuál la interpretación de los coeficientes puede no ser la correcta. Si bien este no es el escenario, otro posible problema del uso de características en diferentes escalas es que el modelo se puede sesgar hacia las que tienen mayores escalas, basando su estimación mayoritariamente en estas y tendiendo a descartar las otras."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-881616.8590055245"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regression.intercept_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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82gZ8u/T7eZnfq8lJ4tvIda2LfMxK5IZqGzkZMERp1JFPZjYDp5CPIVdTLsw1KO/95GPkZYy8EHFPifVCcpJvXen3fnLd/ir5BOFtwHdLv++Wcryrbv0sK/0/VMr9mLJM3yKf7PxjmddgmfZV5G3nvrKsnWU6a8j19TPkOljbfn5T+j+UnFTuIycl28nJl0HyXSwjth/yyXYvI+trZ118ng48vIz7CPJ2ciMjE2XnMXwS8EdlvrV6G5XtopooGyDXiQ5y/Tsf+DK5HpxU4l9LlI04ljN8sadRe6G2TdWSWAeUcfrI9WcROWHUB+xb2RcPAo8lJ6AS8KHSr+nFklKuRD4RO6osx8Hkuncr+Y63C8iPVdXaMql0T2XZP1DW8+vL8lxF2cYq4+w8tpfxnllZ5to6qE+U9ZTuLytlv6tStsXkY+lK4C1103kY+YLB10rZPl26ryjl3kpOQNXK9mSGE5BPL3HtqSvLiDKS90c/rhvmHJonypq25WieKHtb5f9/A75Tty+7dpR9WLW91KisZ5MTij8i35HVqI5fRpNEGbmObyKfFHeQ2yebGdk272f09tx3ydv4zuUnX0D4XGW4leR93zWlDJeRjwmXlf5vBFaO1V5o5dMoBpV+9TEY6/xkoomyZ5L3wwsq20wtUfahsu72Ie8LqonefyYnkWoXDJ9C3sePegGZSSbK9kTcGJmAql1EOK9Mr5YofC05AfXP5ETM9eSLgpeX6Q4B76TufJF8/P0FuW0a5GPUQZXyPEg+5tXOi+8gn7u2k+vlD5uU86fAH5bvC4FTy/c/LuttfpnGY4DFDeL4WvJ+62iGj+Ofq9snfZK8334k+dh7/DjW1T8BV5XvN1Auctavq0q3av0bsX4Y+8J0q/F7KXk/3wb8Pnl/fdAoZdtZHnJbYyO5jdBGbns/bLRY7M5b3eeyc8lXPyh/P0fOvnYC95XbujeQr67tDxD5caPzy23Vm8gb6n510121Jwo/iqeQd65nppS+Ven+nymlB1JK95B3Jj9PKf0qpdRLbmg8aozpvgT4VkrpxymlHeQNcKhumJ+mlL6eUhpKKW2v6/c14OTKrfmvBL5apvVC8kHwsymlgZTSr8gn4y+tjp9SuiqlNEDe8Z08digmL6W0guG7N1aX9X8wua58rVJPbiY3YA+I/FjZ+8ut/5vIO1TYta6MNY+Z4IHK9+0N/l84xvhHAB+uxGkd+QB1CEDkRwlvLo9ZbCCfsNbidDAjt6fq9yOAg2vTLeP+A/lkY08bqyz3V4bdBvSUW8gPBu5JZc9fjLX/qJ9WLf5HAH9bV4bDyjymwpj1YJz1/txS1otSSk0fFaqzMyYppSHgbvJyHUy+ml3dD91JqVvkk4OnkxOSv2H4jqonku/C+Ra5EddJXldXRMTG8n0r8LRK2a+rzOOzKaXflH3clxneF72qLNdFZR94Cbnh//zKuOeklG4in+guJCd8+lJKPyjlqT3qtAH4u1KeY8gNraeRG34LKuXZBHwspXRrSmk9+STt+Mjvfvk94MKU0kVl2SE3EncpT9mv7kc+Ea5X6/bv5EbpCyLilyWua4GBlN+rcip5/b6c3DAaIN+Z11/KsKXEGnKy4rvkY8b55LsNXlKZ5xD54s2O8r1ZzEcoj1x8grze3xoRry3duyM/HrakMviplHVAPiHdRj521hIWtwNPi4gDy/DXkOvW/mXZnh35Ed39gZtSSueklDaXOM0j17NnkJNGC0o9HSInfA6IiAPId1/8Z0rpmpTSfWXcZu/cabR+3ki+ittG3ne+BVhWHteqXYx6Mnmf+1Dy3Xg1g8C76tbPcRER5PUDsLEs07fISYv3MXwn09fLsn+WfFf6k8vyQK5nTyM3lhcyXF8PIG8jvyEnci4lX2EfJDeut5R51m8/+5ITGzvra0qpvxqIlNJlKaUbyrjXk5Pm1fUN+RjbB9yZUvpkme+55GRKs2PHvSml/yzbSB856fn2lNLWlNKNZfxaGUYcy8ltmPU0bi8k8knQjjL6U8gnGVvIJyRPIifR2oHbyniHk9dbZ0ppXRmvVj/fAPxPSunnKaXBlN9/s4N80raiVkTyRdLPlv9/UsrwtbJcbytlq+1T763E4U7yCRJleR4DfCryI5r3kvdNO4/txXjaw7XhN5bpHky+cN1DPt79A/lOvP+NiIeSE2KQE3XvI28XdzJ8rDuEXDfnk+NYK9tF5KRrzZrS/h3LuNv0E2zLjbuNNUZ7qVlZTyUnjt9f19YYjxeWMtxY6v8+5PXyizL/PyjDjdaeW86u+60jgJdWtofDyUnny8lJ6U5yW7FmP0a2fYj86OyGyO8gPILdZzznJxN1L3mbWVrtWNkH/3VKaV3ZB7+P4WNDP3mfdUTZf19e1u1jyRfC3lXaFbeTEywTfY/bZExl3M4u+9vtACmlz5CPwX9NbsM9nBzDV1fG+WnlfPHppZ59ndyeehg5aXxzOe7WfC2l9IvKeXFvSum8cpz4Es3Pk/uBYyJiv5TSlpTSzyrd9yUnnwbLtDc1GP+V5LvQbk8pbSFfHHh53aOm70wpbU8pXUc+nj5y9JABOUn1hfL9C0zu8cud7aUmbVZoIX4ppa+klO4tx+svkR/Pf9w4y/I64DMppUvK+PeklG4ZbQQTZRPzdeAREXESeYP+X/JBZgf5sY6l5bM45feDQN5RJeDhKT/z/Cp2fX9KqweiqfZG8u3vl9V1n2zCY0TSIqW0lXySVNW0QVF29N9meIf9CnLMIR80H193kv9KhhuA0DxBsNullL6QUnpyKWci3+mwivy4xtLKpyflROQfkK/0n0ZuKBxZJlWrK7vUkSbzmAtWke+QqMZpXkrpyvJ+jbeQryQvSyktJTeWa3G6j9xArjmsbrp31E13UUqpmgTYUyZalvuAQ0qjqOawZgOPowzvrSvD/JTSFyc4vYkYq95DPqn/FvDciBjvuyJ2xiTyO5AOJTcw7wUOi5HvRTqcfIcH5ETZU8hJk5Xkq1tPIp/A/4h8cjWPvM9/E/lOpj8i3wVzZhnuYZQT98o8RktWvrRuP/ZkcoO2praPHCvJt5F8slgrz2tLeXqAGyrj7agrz6fIsb+FfPfe75dyXF/6P6lJeSBfDaz2q6l1+9ty3Ks9qvMUymsLIuK4Ur4LS7dl5CRe1TaGTwrmk6+2nlrK911GP4kd7/7/deTk4I+B5wDvKsmyU4HrUkobK8NW18FZ5ATcSnLC5P/IcXw6OSG4gZxgeFr5XEE+mduPnDy4pzLdreSEyiHkOrEM+HRZzm+V+BxU+gXwV40uzDXQaP0cQb7LC/JdH9eU708n303zUXJidS05cXpNZdzt5USiphbX5eT1A/DLUq5/L2VtL3HZQN6eush1qJqU3kC5m7XEqB94bEneLSQnqWtlfxZwWpnHu8jJuIsabD9rK/NqKCIeH/nHJ9aUBPMbGU7M1tTG31mfUkrbytdmdao6z+Xk9Vftdmd14Lpj+Q7yY867tBdKt+qLu5/GrvEbIN+RXBvnLuD5KaUrK+PNK3/Hc7HkHYxsY5xb5vFfwPdTSkvKfGq/tlwd93Byva7F5BryHc5R+cyrK9t42sMvLn9vp3IsJe+Df0q+K/iy0rb6b/Idm5BPqv6BXC8PZzipdx/wPHK79tBK2Ran/D6jVsrWaLitDG8fMLKdOlpbblLnBuNoLzWbx8XkO2++X5LzrTiWvD/6nVKfjiUnas8p8/8C8C9jtOc2set+axX5jplqvf6dlNJfk/eRh9cty9r6aaSUDiXvf7tp/T2WrRjP+clE1R6P31DXvbYP/kVlntVj5L+Sk8AXR/4BmrdWyjqTLiBPVdx27m9rF2TJx7NguJ78eUqptm/YxnB92Ua+mLeUfMfmLeRH0FdHxCci/9BEzUTPk19HvhB1S+T3Cr6wdP8c+a7g8yO/F/IDEVF/TIK8n60eR+4kH2eq662lc+CIeBL57uHzS6cvAA+PiJNHG28UY7VZobWk/5kx/E7lDeREecObSRo4jOHjwLiYKJuA0gi/gFx5rkop3VUyyxcD/xYRiyO/sPQhEfG0MtoiyhXPiDiE/N6vmeaNwOER8aEpnu59jDxhnc/w1eOasRoCXwReEfnFwz0MN5hXAT+qO8lfmFL6kykq+4RF/inkZ0ZEN/lOgO3kq60fB95bu5IVEcsj4owy2iJyA3kt+WD3vrrJPkC+xXasecwFHwf+PoZf6r4kImpXlBaRG+lrgI7IL3avHrS+XMZdVra3N1X6XQVsjvzi3Hnl4HlSTMNLuCdRlp+SG51vioiOUn/Ge0Wl3ieBN5aTxYiIBRHxgohYNMHpTcSo9T4i/pB8F8KryS/kPjcixpPwfkxE/F65uvZXZR4/Iz/yto38wxidEfF08p1B5wOkfMfadvIFjcvIB/QHyHdO/IjcGF9B3uc/ieGkWu1uj9odHY2uADYyovFfPgtSSu+vDFPbR46V5NtAPil5einrFaU83QwnvRp5gHySvT858Ve7Lb32y4BLmpQH8t09ja72vowcg9pJ8o/Id391kU9w7iInmpaR754ZKH+HGHlCCTnJspG8Xj4GfLnEaUk5ia2VZ6InlR2U5EhK6Q7yi57/hZxArL/4UFsHh5EfI3gV+fG/V5TlO5GcuHh6KXMvw4nWG8kJoAcpj8bVTbubvC5XkevjALkhuJ38qNT7S78h8vu7Gl2Yq9do/awi3xX0k8pJ5xfIjfaulH8l6r/ICZF55OQhjB7fB0s5AR5dpvlc8n76ReR9Vh/DiZPEyKT0RvLV4SeR43c1OaavYPg9drWyf5P8aPVS8l04nyrbTP328/0S08NHKfcXyInaw1JKS8jHnqm4kFkdZw15XVYvaOwsU4Nj+V3kxv/5jGwvPLdM4weV6dQSZRvJd8A+jfIIeO34WZbnqU3K2fRiSUlkD5H3BdU2xtfLNP+cfCGTiFhOfqSF0h3y3YmvYfjF+x8nJ2DfHhEnlvbPKyrH9jFFfkLjTeTk3SbySd3OYyk5MfBocvLl8jJarQ0OOVnwp+R9zGvIdyxAbme+hxzzD0X+wZczIuKQEvfJuhZ4fuRf1z2QfEyqLdNobbkHgCNj4j94MVZ7qamU0gfI28f3o/zSZEWjxF9ExGMYfiRqedlGX0Y+Zn60DNtJfnxttPL9krz/qCYIPk9Ovj038l25ATwy8i8SvoOc5FhWGf4HwKFR+SGkKTZa8nN3np+8GPhlyjceVNX2wSdW5lk7RpJS2pxS+tuU0tHkR9X/JvKPAuzpC8i7I26N9tHVbrULsheT9wFHlu7Vff1KciKtkZtTSo8h79MeyhScx6eUfptSegW53fUvwAURsSDlu/3emVI6gXyH+QtpfFfXveTEYs3h5G3pgQbDjtdZ5JhcG/kHS35e6Q516y6G75zfuVgNyjham3XcynHwk+Rzun3LvuVGRrmZpM4q8oXAcTNRNnHnkk8gPlfpdib5BODX5Mb+BQxnpt9JPnBvJDcqvrrHSjp+m8knB08tWfepcgHwwoh4cuRfsXkXrde9i8g7g3cBX6pkpr8FPDQi/rCc8HZGxGMj4vimU9pzusmP5jxIzujvT74t9sPkRvnFEbGZfOL++DLOeeRM+z3kevSzuml+GjihZNK/Pso8Zr2U0tfIB47zIz+OdyP5ai/kKy3fJZ8U3EluWFav1L+L/JjdHeSTxAsoJ1kp38r7QvIjWHeQY1e7m2aPmmhZUkp95IP568iJkVeRt4Udo4zWbFrXkO8++ih5v7WCul+92gOa1vuIOJz82N6ZKd+a/gXyHQnjSeh/g9xgX0/+QZHfKw2QPnJi7HnkmP9XmX71FuwfkU/Ov8nwi+OD3KivJdXOLP0WM/weriXkRsop5P39eIxo/EdET0Q8PRr/HPmoSb5Szn5ynfhRyrfrP8DIxy4beQL5/TpD5LrUTk4CrSWfsL28SXkgH9+eGBHvLSeBiyL/SumZjLx69yNyA+fH5JPSE8gn1D8ln6B+iZxMGSA/ZvyCchV1CfnYmsiNpNPJ+z4qJ7EPMLkr9V8l30X3onICtokcr4eQ411VWwefJO+DXlPKfTq5AX03ua68irx9voxcF/4/cjvggrLtrybfnf6sspynl2W8klwnnk3e732WcsdaRBxaLsytB17W5MJcvXeSG9tHAfNLEvwu8vr9OOQLEeREwpuAX0fE48lJhteSH2UaLNNaT04q7qLUnU+Wf/cpfzeRL259hlxHO8n1dXUZp5qU3kDel9eS0p8mb7+vZGTD/5PkR1MXRkSQ7+J7SW3dVbefMv17gDeUbl2l/8tj+G6KReT3s/VGxOMYfixsypT1/VXg7IiYHxEnMHziAbseywfIFwSfR65vF0fEVvL+6Fdp5OPnx5EvlGxi+MTpIYw8fh5C84spo10s6SZv/+8lr5tHAn+f8qNMXyDXhT+ptGVOLtOsnVxdzPCPH0Bu/3yGvM+8nrxe/4fhY/toNpQY3EB+rPal5HdWnUveT/1Pmf/N5BO5o8mP8kL+MZfaBcmHkdvmJwEfTCnVHis+h9w2e3IZ9nryRbdLGb5TbjI+R96nrCTH5UuVfqO15b5S/q6N/Oh6q8ZqL42qJM2/To5Dddu/ltwOaScnJd9HvgP3vDLsOuD3yr7tW+RYfq3UxxcxfMLarHyXlr+/DywuJ9rbyNvRB8mJtUPJ9aAt5cdXV5PvNq2V/VZyvTg/Ip4d5YIkeX84Fa4tyzg/8uP7r6v0m9Lzk7JtHhL514NfT77ja4TKPvhDEVF79c/ORG/kXzg/puw3N5L360Ps+QvI1zL1cRtxI0HRXfb3PeQE6o7y6WTXGxEgt02eEhH/TrlLqSSInwjsV+ryVnIdnfRNCZF/jXd5WW8bSuehiHhGRDy80hbpbzK/LwJ/HfnX2heWZfpSGnnHdyvl6SG3V95A3pfWPn8O/EHki87XASdGxMll+LPrJlO/HsZqs7ZiAbmNtKaU9zXk/Xh13oeWXEMjnwZeU9pcbWXbeNioc0xT+ILDvelDzoZuo7xcb7Z/GPlywX3IG8K7q91Lv89TXnhd/n89lReOjzL9s8gN87U0/tXL+heVNupWe+HqY+u6H0dOPq4p0/8BcHLpdw5NXp7qZ+/5kJMYP5rucuzmZfw5DV6ovrd+Gu1DJjGtE8lJntpjjS+u6/9Fysuey/8fJF94aK90u4zRf+Xp8WUe68q+7NvA4U3GbVqeMuzPG5RnCHhOJTYP1E3zSoZ/qegm8tXSWnm2khuXG8knQiPKU8Y/idzA3VSmcRn5hHPnsAy/fPws8sWS95b/t5CPLctq++gSn/vIJz7ryCePp5GTLpcz/IuMN5PvMtyXfAI9RL7SPmbMG6znM8i/friFfIz6R/KJ4EYqv7pUWQe1BGr9OngL+Vh0RynDP5dlSeREx36V8n2sjL+R/GjHL+vqRO0uxS2MrBOXl/HvLuP+Cnj5KMt2UinT9sr6eXeJ2SbyCekFDD/ydX0ZLpVpLyzTeSW5nmyg/BAHI4/nPWWcofJ3sPS/uUyvn3w3xM51Q9l+GH45+M7th5y4X0eui9V1+W9lmA0ltt8n3z3ZbPv5IrlebyMnzr5EvusC8l2Ad5bpfYt80eABRr7Mv4OxX2JcXaZGwy5neBu5isqvXjZZZz0Mv65he4nFW6n8CEkZ7qeMfNnxBeS7H6rD7FxHjfaP5CTt1ZV4fgVY1GjcyjhvZ9d22s54TcW+dxL77Blbttn8qavj+5ETfpvJd6eezchj2rjb5qPMbwn5Qtkq8v7jNvLj3NUfqajW68PISYzLKt2CfIy4oWxH95H3Jy+r35ZmWgzIx8OhsuxbyYnwCygvfa8MV90P9ZATJrdTOUaWfn9dYraVfOz4p8o0DibvJ+8nJ7Z/xijnaTMtbuTj913kfdh/l5jUfy4lH4M2kC/kVeN2DvmC3XHkpO7GEvtbye/Nqh3DHiS//mdho/KQjxvV+ncM+RHO2v8rK3H9PLmNU2t3vah0f0WZ71bysegjNP7Rszbyvm5VidXnGf5hnSOp29/RoO1WF8OXk7eP+h8UmVfWQ+2H/t5W4rCKfJGrGsdjGf4F5a+XbqO1WVuN33vJx/kHyfuCnW0D8gXVb9f6N5n+i8ntm83kY+pzm8UjpbTzV0zUgnJV49/JSbLXTnd5JI0UEQeRr2j8lLzT/jbw0ZTSf0xnuaZSuXvkVvLB4pXkO0OOTiNfMLrXioizyQfuV013WSRpLomIfcgJ1D9M+b1+te5HkpOenWmCdzXM5bJJkmYPH71sUUTUfvL42eTn4SXNPF3k2+03k69EfYP8eN1cchz5zs8N5Jevv2RvS5JFxHciYkuDzy6PJEiSdhURT2myH93SZPg/It9J8J1qImqSZXhlkzLcMYPLdtNUTF+SNDN5R5mmRES8kpyYqHdnav6CYUlSi5qdJJJ/He/yJv12m5lWnr2R62D8jJU0M5SLWo0ubF2eUhrPe+tmPWMwMcZt4iLiO+Qf0an3vpRSo3e37bVMlEmSJEmSJEk0+eWiuWy//fZLRx555HQXY4/4xS9+8WBKafl4h99bYmNcmjM2jRmX5oxNY8alOWPTmHFpztg0ZlyaMzaNGZfmWomNcWnO2DRmXGafvS5RduSRR3LNNddMdzH2iIi4s5Xh95bYGJfmjE1jxqU5Y9OYcWnO2DRmXJozNo0Zl+aMTWPGpblWYmNcmjM2jRmX2ceX+UuSJEmSJEmYKJMkSZIkSZIAE2WSJEmSJEkSYKJMkiRJkiRJAkyUSZIkSZIkScBe+KuXs839G7dz7ar1bNjWz8oHN/GLOzawpW+AfRd28+Rj9mX99n7WbO5j+aIuXvDwg3nEYftMep4btvXxk9+u4Ye33M99G3pZMr+TEw5ZwvyuDu5bt5X+oeCwfeZxzP6LWLKgi94dA/QNJjrbgwOWzOPgpfPo6WxvOv3e/kHWbtnBjoEhujva2Hdh96jDz1T/eenNnHflHWzZkVjYHZz5xKP489OObzjshm193LZmM1t6B1jY08FDli9i6fyuPVzimWXlg1u48rY1rN3Sx74Lu3jM4fvQ2d7G6s07SCmNqEsrH9zCRTfcyy/vXM/GbX0cvGQeTzxmX572sAM5cMm8cc2vui0tnd/JyYctG/e4M81o21AtrtfetYHb12yhq72dBd1tpJSItjaWL+rmxY86hMceNet/tXlU9TFqbwvu2bBtxDa4YVvfzjrY0R4s7OogIli9aTurN+9gYBCW9XRy0D7zmN/dMevrzXT4wEU38L8/u4ttfTC/C1556uEtT+P+jdt55Nu/PWIab3n+w3dDadVMo/U4k9eBdaa5f//eTXz+pyvZugMWdMOrnnAkf/PcE6e7WJPS6JjYKutMc7Nt+99Tbr1vI5fecj8Pbu5jv0VdnPawAznuoCXTXaxJO+8nt/HZK+9g47Z+lszvpG3+kn1bnYZ1pjHjMruYKNtNqgftHf2DbNzWx47BIRb2dHDI0vkMDiV2DAzxuSt+y9evu5dtpcHS3Qn3bR7HDB7YxhW3rR/R6dM/vpM/ftqRPPywZZx82LIJlXvlg1t437d+zSW3rCFVul9005qWptMODNb9v+/8YP/F8+lqa2PZwk6WLuimPYKutqCrq4MtO/pZvrCbA5f00NXRRiJ2OTGtxhWAlCCC7o42FnR3sHXHwC4Npck2nhr5z0tv5t8uvX3n/9u3pZ3//+ETHzIiKbbvgm7+5gvX8Mt7t+4c/tEHL+CfX/oo7li7dU4kbkbT2z/IvRu2c/N9G7lx1XrWb+9n9eZebrl3E/1Dg7QBO/oTG/pGjtcOLO2Gg5bM5/bV29g2ou8mvnfDA/Ty66bz7QaGgP4G/Ra0w6OOXMpfnvZQ2tra+No1d/HdG+9lS2/eBp9yzHLe/PwTOHK/hZNc+tbU6vem7f1s6x9gflcni3s6dibCzvvJbXz6J7dz57qRweoCTjtxX350y1q2DjaedtXXrrqH8/74cTz2qOVs2NbH9as28JsHNhEExyxfyCOPWMbS+V3cv3E737n+Hn5+2zr6BgY57uBFvOhRh017Q7AWp1vu28RVKx9k+44hDljazUP2W8h1qzZw470buXzF+l3GW9gGW4aaT7cH6GyHzaPE8Ljl3fzryx7Nzfdu4sa7N5KAo/ZfwEGL57O9f4CujjaOOWARRESry3XB1Xdy7k/vYP3WfpYt6OSsJxzFSx57RKuTmTE+cNEN/NeP79r5/8Y++K8f30X7wn0PbGU6a7b00dE3chqAjcs9pNl6hJm7DuZqnalPCLW6n3lg03Y+8sOVO//f0cvO/2drsqy3f5CnvPe7rOkd7ra8h5ZjM1frTH0yJzq6eloZ//6N22fd9r8n9PYP8oIPX8FApduHvreCb//lk6e9jTQZ5/3kNt7+zVt2/r9u+w46Fu3X0hUu60xjczkuf/DxK7hy5cad/3csO+joaSzOlDFRNobR7gSq9rvkxnu55Nf3s7VviAXdbfT3DVF3LjumHb1A75iDNTUAfOxHK1nWs5JTj94f2jo6Wxm/t3+QZ37wR4xyHjlu9eeZg8DqbYnV27Y2GnxMy3pgyfwuejqCoaFge98AECxZ0MXxBy3mgEU9bO4bZN/5nSzs7mBedzsd7e0ctmw+hyybz/yudvoHE/es3zahE9j6xmk1SVb1b5fezoat/fzg1gfY3DvAop4ONm/t48EdI4f75b1bOevTV/CU4w5mYGCQjo52brl/Ey9/7BGzNlnW6Iruhm19XPHbNaxYvZmLb7qXO9b2jUjAjmYQWLsD1q7e1rD/WJvKjlH6bR2EK27bwBW3XbXrdPvgW79eww9//SO+/ean7ZZk2YiEb0n27hgY4nWfuZx7K4nyICdvto8xvT7gopvWjnv+24HXfuIqLv+nZ/PVX67iZyseZCgl5nd1cP/m7Wza0c9DD1jEBdfcyaU3r2bDth0MDsAN96zjxns2848vPGHKG4LN7gioJsZ39A1w5qd+wpqxAtLEaEkyyHWqd4xE461rdnDmp37KsQcuIUh0tME1d6ylrQOWL+xhflc7yxf2EF3zW6o467f28eb/u3Hn/3dvHP5/tibLqg3CqvYFSw+aimnP9oblZE9g95Rm63G2rYPZVt56vf2D/Ol5P+cHvx2+CNCx5MAjW5nG6s19NNr4PvLDlbM2UfbU941MkgGs6YXOfQ972GSnPdvrzK33beT5H75iRJu8Y59DHtrKNNZsaVxnZntsJmvF6i3UX/EZAH73w1dw6/tfMB1FmhLVJFlFy0ln68yu5mpc6pNkAG1d82dvtrhiTiTKIuJ04MPkm1A+lVJ6/2jDv+nzV/GtG1u7Q6oVW/qnItU0cet74bu/Xk37wn1aump/x5otzNSHsdb3wvreXTOPqzb1c+N9OfnWAXREfvFeasv5h3ld8JD9FnHYvvNZOr+Lhx6wiGjvaum2spTgrE9cyc9XbRrX8F/6xSqGyiWmbb19bGtSHe7fAt/4xb30ke8IOmzfLvad38XvnHzoLsnZns72KX9cdSoeVUgJ7lm/jU3b+3lgUy9rN/VyzV3r+PW9m7hn3VbW96ZdkqazxVbgFR//ERf82TOm9O6gI9/67XFPIzF2kmyiNie48rcP8r0b7uPBrTtYt7mX/qG8/Xx73t30Dw7x4NY0MrE5AOtuW8f7vn0Tf/Hs43jI8kUtz3dwKPHn/3sV37xh5D74CUcu4ad1B9qZasMOGBwcoqOjjXvWb2fd1j4CWLepl3k9ndycttDes6il5+Dv3rC9YQPqzf9346xNlI2i5e1prrn1vo383oevoHrpqGPZwcdOW4E04/3F568akSQDaOuev3R6SjNzrG5ykIz2zhmZeN6TzqhLkgFEtM2Jc7/JavQ6jlY0u+g72kVazW4f/+GtnHPlHWzpHWRhTzuvfuJR012kGaE+SVbMiXberN9ZRkQ78DHg2cDdwNURcWFKqeEzWXet28qDuzFJNhPUHnts61nQ0l5/YLy3+sxQA1SWYTDHobcXbrh7M5t3DHLy4Uu5btV62noWLG5luisf3MLacSbJAHb0wcKeIMgH0m29zQObGH5E8La1fXzuyhUcumw+C7o7WTa/i97+IX5+24MsX9Kz826V2p1xhyybP+FkWW//IPes30ZXR/uk7rbrGxxiKMGm3n5+88BGfvLbdazf1suqtVtZPwdaC/dtgaEE0d7Z0gvl1m/t44MX38rCnnYOWNjBxr5BPnjxrSPuGJoJfnDr/dy7cRsbt/bT1dHG0NAQG/thU/8gnTRuCA4Cv7pzPYOD8Ks710G0tVQJ716/bZckGTBrkmQ1vf2DLGxvY/vAEP0D0JegvQMOmNfFtr4BorN7zz63q1nl5R8dmSQDiLb2Wd8m0+5z8a3rGnWeEycju8leH5tJPKQyp92/cTvfv/l+Fvd0sf+ibrbuGOT7N9/f8pM42nt8/Ie38pHvr6CnA5b2BNv6B/nI91fQtmDZTL3HRFNgLjTKHgesSCndDhAR5wNnQOOXF23cPsB8oKd97Edsdp/EQrazT2xmXzaxT2xin9jMPmxmn9jEvrGZTga4J+3HQrazMLazkO0soHfn90Xl7/wYmY343MBpvDe9lsHBnUnEvdYguYKngM19/azd2sfR+y2EFq+mbekbZBEjfyJ2tHsGu9qgs6M6i0Zvycrmdw9PdfOOIX7zYD8LujuZ392xs//qLb3cv6GXQ5bOz9PvyG2/tVt2cMiy+a0syk5rt+ygq6Odro62EdOkraOl2ATQ1dHGg5v7uGvtNgYGBtncO8A031Q5pbo62kgptZRGXrt1B0f1tLP/4vwY7f49ANthc/O6MB3uW7+dLVv76exoo6e7k029w/uT0Uq6qZ+ddTQ6u1u6FXFz7wALJlTameWBzdtZND+/Z3FHyvuHrvZ2hlIwr6MdSHNoK9BUW9+4/bHXn9hL0u527ar1LO7pYvG8nBdbPC+3hdu6eibWqNacd86Vd9DTAfssyu36nh5Yt3k77fMW7z/NRdNuNBcSZYcAqyr/3w08fqyRlrKZU9uu25l4qk9ANepWn5SaiV7cfgXv6X8tACmN+3VQc1Yb+fHAgf5BtvYO0NE+8fOQ8Y45MARDQ4mIPO/RDKVdh+vpbBsxTBuwY2DkWVVne7Ctb+KZ3h0DQ8zvGplH7WwPIqKtySgN7bz/LGBz7yBEvtNmcM7VvNYSZQNDiSVdI0NZ//9MsGRBNwMJuiMxNDg04q7S+h/kaKSns63lxPNcqRq9fYmBvgE62/IytQHzOtvoGxxgaAjS0NBsfepYkqQ5a8O2fvZfNPIa34LudvCuXjWxpXeQpT0jzwTndwa0tfZUhWaXvWKHEBFvAN4A0HVg/hGG/+t4G4fEg9NZrIa2pW7WsYi7hvbnJ0MnsYV5bEnz2MI8Nle/l7/b6aZpCmewf8y7rhvFZq5oJ5/AtrdBe3sb87rb869EpbFPYBvFpZUT/O19A7RFfmxvNEMpkYZywimAxV3Q2z804k6zIaC7Y+R+uH8w5WWZoO6ONvoH0/CdZGWaKY19F0w1Nocclt+dtN/CLno62xlMiZ7Odtp7B0abxKxx7H61XeTYj6RW4zL/wKPY2DdU7iTLNvbNvBuMnnD0PvzyjgcZTEP0Dw7uTPh0Al2dzW+A239+Dkdv/xCkoTFX9lzczyzsbmNr/wAdbW0s6My/lpmGEgODQ8zr6thr4zJOY+5O9+LYjKoal8MPb+mHyOY860xje3Fc3M9M0FyPy9L5nWzdMbjzTjKArTsGYWhw1OP2XI/LZMz12CzsaWdb/yA9lXb9tv4EY1wUnetxmevmQqLsHuCwyv+Hlm47pZQ+AXwCYP+jj08Ar+/7W/6445sl8TR/Z+KpUVJqy86kVBeJmXdXSL0Als9r464t6+4Za9hqbB5y/CPSXLoFooPcSursgH3nd3PkPvPZ3NtPGhwY8/m3alz2PeJhCUZ/3LLq+EMWcOeDW+ntg56unHjY3OTQOzCQ+w8CnW3w6icdydYduXg9nW309g/RGcHyJT30DQzR2R70Dyb6BgYn/NglwL4Lu/M7yWDENBkaGPPkvhqbh5/86NQ3MMQBi3s4+bCl3LexlwWdHWxom/l3X47liKVtfPSVp9I3MESM491t9dvSlt5BYDtLutrY2DfElul71ruhxW3w7BMP4vp7NnDZzavp7AgOmD/Eum05uby0J99TVp8s62mDl5xyONt2DLB1Rz+pf8eYK7sam+VHHT/rbyo7fFkXTzt2P1IKFs3vYkffAFevXMvAULC4p4Pli3rGbHDDyLh0H3TsrI/LeKVxXKyY67E5dr9OfvvgLoeiMZezGpdTTjllzsVlMuZ6nWmipTqzF8XF/Qzwrt952C6/YjieC6JzPS4nH7Ysv5OMfCfZ1h2DbOrtY6ivt/HPrBdzPS6j2Ov3M69+4lF85PsrWLd5O/M7g239id4BGNy+afVo4831uAA89tBFXH335vrOc2JZ50Ki7Grg2Ig4ipwgeznwB80GPnyfBZx60nK+dSP8Vf+b9lQZd4tFAT3zgi07Eu0B+y7uZJ/5Pey3qJtXPO5wnnX21l1q7WiWLejiA2c9ms9efgdX375+Rr0E9KBFwY6+xIYdjRNW89th2fwOejo7GGKQ3h2DDCRY3NPFEfvM58BlPSzo7uARhy1jqHdLS28NP3K/hTzksMVcVXmh/+Pq/q9Z+f4XcP2qdXz7hntZs7mP5Yu6eMHDD+acn9zO1699gCFyYuxFJx/AQw9YtPPXU5aUX0954zOOY8O2Pm5bs5n12/pY2NPB4x+y385fvdzWN0h3R9ukXuQP0NPZziHL5u8yTVp8F1dXexttAf0JHv+Q/Th02Tx+/JvVXL+qnbs39bJhcx9bZ1Z+aKeFbfCsE5azaccga7f2s6i7jYcesJhHHLaMg5bOY0lPB50d7bQFpMH+XX9ydRTLFnTx5uccx7k/vYMHtuRfvXzjU4/hhScfysP+6bsNx1ncBZtamsvELW6D69+Xf778b59zPEcsm8+PfrOW3v5+jlreQVtbfrR30fxBEon7N24nDcG+i7p4zgkH8viHLKe9HR51xD7jukOz6tBl83niicv59k11v3p5xBJ+euf0vtC/BzjpkAUsnNfNhm19DJHoHxjkrnW99A7kxPcphy3jTacdy8FLF7Bpez/b+geY39XJM44/kF/etZYN2wbYb1EXg1vXj9p4qvfwQ5bQ6B7nlbP4Z+ZveffpDet7/5qVN0zFtGezS978HJ79wYtHJMuG+nfUv99/Rmi2HmfbOpht5a238v0v2OVXk8eTDKo66eAlrG3QfTbHplFcAPpX33H9ZKc9m+MCcOaTHgLAZ6+8g43b+lkyv5NVW9auGmO0EeZinTlwyTyedfyBXLtqPas372Dp/E6edfyBMDT2hfSauRgXcD/TzBufcRyQ31W2ofzq5RuedhR/8t714/6FwLkYF4CvvOmpvPSjPx6RLBvq2z7+X8GbwaLF8+IZKSKeD/wH+Wm7z6SU3tts2FNOOSVdc801TafV2z/I2i072DEwRHdHG/su7J5UQmI6RcQvUkqnjHf4amzmUhzqTSQuV/z053M2HlWTqTMTMVvq2VTGZbYs83hNNDZzLQ719vS2NFM1Ws/zujpais1jHnNKuvDSH8/ZulIzk+vMdG+vrcbGOtOY7ZnmrDONWWcaMy7NGZvGjMvsMxfuKCOldBFw0VRMq3anzd7OOIxkPHaPvTGue+MyN2Ic9g5TsZ4jsK5Ms9m2vVpnmptt63JPsc40Z51pzLg0Z2waMy6zy8x/4ZYkSZIkSZK0B5gokyRJkiRJkjBRJkmSJEmSJAEmyiRJkiRJkiTARJkkSZIkSZIEmCiTJEmSJEmSABNlkiRJkiRJEmCiTJIkSZIkSQJMlEmSJEmSJEmAiTJJkiRJkiQJMFEmSZIkSZIkASbKJEmSJEmSJMBEmSRJkiRJkgSYKJMkSZIkSZIAE2WSJEmSJEkSYKJMkiRJkiRJAkyUSZIkSZIkSYCJMkmSJEmSJAkwUSZJkiRJkiQBJsokSZIkSZIkwESZJEmSJEmSBJgokyRJkiRJkgATZZIkSZIkSRJgokySJEmSJEkCTJRJkiRJkiRJgIkySZIkSZIkCTBRJkmSJEmSJAEmyiRJkiRJkiTARJkkSZIkSZIEmCiTJEmSJEmSABNlkiRJkiRJEmCiTJIkSZIkSQJMlEmSJEmSJEmAiTJJkiRJkiQJMFEmSZIkSZIkAZNMlEXEv0bELRFxfUR8LSKWVvr9fUSsiIhbI+K5le6nl24rIuKtle5HRcTPS/cvRURX6d5d/l9R+h851jwkSZIkSZKkVk32jrJLgJNSSo8AfgP8PUBEnAC8HDgROB34r4hoj4h24GPA84ATgFeUYQH+BfhQSukYYD3wutL9dcD60v1DZbim85jk8kiSJEmSJGkvNalEWUrp4pTSQPn3Z8Ch5fsZwPkppR0ppTuAFcDjymdFSun2lFIfcD5wRkQE8EzggjL+ucCLKtM6t3y/AHhWGb7ZPCRJkiRJkqSWTeU7yl4LfKd8PwRYVel3d+nWrPu+wIZK0q3WfcS0Sv+NZfhm05IkSZIkSZJaNmaiLCIujYgbG3zOqAzzNmAA+N/dWdiJiog3RMQ1EXHNmjVrprs4M4qxacy4NGdsGjMuzRmbxoxLc8amMePSnLFpzLg0Z2waMy6NGZfmjE1jxmV2GzNRllI6LaV0UoPPNwAi4tXAC4FXppRSGe0e4LDKZA4t3Zp1XwssjYiOuu4jplX6LynDN5tWo2X4RErplJTSKcuXLx9rkfcqxqYx49KcsWnMuDRnbBozLs0Zm8aMS3PGpjHj0pyxacy4NGZcmjM2jRmX2W2yv3p5OvAW4HdTStsqvS4EXl5+sfIo4FjgKuBq4NjyC5dd5JfxX1gSbD8EXlLGPwv4RmVaZ5XvLwF+UIZvNg9JkiRJkiSpZR1jDzKqjwLdwCX5/fr8LKX0xpTSTRHxZeDX5Ecy/yylNAgQEW8Cvge0A59JKd1UpvV3wPkR8R7gV8CnS/dPA5+LiBXAOnJyjdHmIUmSJEmSJLVqUomylNIxo/R7L/DeBt0vAi5q0P12GvxqZUqpF3hpK/OQJEmSJEmSWjWVv3opSZIkSZIkzVomyiRJkiRJkiRMlEmSJEmSJEmAiTJJkiRJkiQJMFEmSZIkSZIkASbKJEmSJEmSJMBEmSRJkiRJkgSYKJMkSZIkSZIAE2WSJEmSJEkSYKJMkiRJkiRJAkyUSZIkSZIkSYCJMkmSJEmSJAkwUSZJkiRJkiQBJsokSZIkSZIkwESZJEmSJEmSBJgokyRJkiRJkgATZZIkSZIkSRJgokySJEmSJEkCTJRJkiRJkiRJgIkySZIkSZIkCTBRJkmSJEmSJAEmyiRJkiRJkiTARJkkSZIkSZIEmCiTJEmSJEmSABNlkiRJkiRJEmCiTJIkSZIkSQJMlEmSJEmSJEmAiTJJkiRJkiQJMFEmSZIkSZIkASbKJEmSJEmSJMBEmSRJkiRJkgSYKJMkSZIkSZIAE2WSJEmSJEkSYKJMkiRJkiRJAkyUSZIkSZIkScAUJcoi4m8jIkXEfuX/iIiPRMSKiLg+Ih5dGfasiPht+ZxV6f6YiLihjPORiIjSfZ+IuKQMf0lELBtrHpIkSZIkSVKrJp0oi4jDgOcAd1U6Pw84tnzeAPx3GXYf4B3A44HHAe+oJb7KMH9UGe/00v2twPdTSscC3y//N52HJEmSJEmSNBFTcUfZh4C3AKnS7QzgvJT9DFgaEQcBzwUuSSmtSymtBy4BTi/9FqeUfpZSSsB5wIsq0zq3fD+3rnujeUiSJEmSJEktm1SiLCLOAO5JKV1X1+sQYFXl/7tLt9G6392gO8ABKaX7yvf7gQPGmIckSZIkSZLUsjETZRFxaUTc2OBzBvAPwNt3fzGzcrdZGnPAOhHxhoi4JiKuWbNmzW4o2exlbBozLs0Zm8aMS3PGpjHj0pyxacy4NGdsGjMuzRmbxoxLY8alOWPTmHGZ3cZMlKWUTkspnVT/AW4HjgKui4iVwKHALyPiQOAe4LDKZA4t3UbrfmiD7gAP1B6pLH9Xl+7NptVoGT6RUjolpXTK8uXLx1rkvYqxacy4NGdsGjMuzRmbxoxLc8amMePSnLFpzLg0Z2waMy6NGZfmjE1jxmV2m/CjlymlG1JK+6eUjkwpHUl+9PHRKaX7gQuBM8svU54KbCyPT34PeE5ELCsv8X8O8L3Sb1NEnFp+7fJM4BtlVhcCtV/HPKuue6N5SJIkSZIkSS3r2E3TvQh4PrAC2Aa8BiCltC4i3g1cXYZ7V0ppXfn+p8A5wDzgO+UD8H7gyxHxOuBO4GWjzUOSJEmSJEmaiClLlJW7ymrfE/BnTYb7DPCZBt2vAU5q0H0t8KwG3ZvOQ5IkSZIkSWrVpH71UpIkSZIkSZorTJRJkiRJkiRJmCiTJEmSJEmSABNlkiRJkiRJEmCiTJIkSZIkSQJMlEmSJEmSJEmAiTJJkiRJkiQJMFEmSZIkSZIkASbKJEmSJEmSJMBEmSRJkiRJkgSYKJMkSZIkSZIAE2WSJEmSJEkSYKJMkiRJkiRJAkyUSZIkSZIkSYCJMkmSJEmSJAkwUSZJkiRJkiQBJsokSZIkSZIkwESZJEmSJEmSBJgokyRJkiRJkgATZZIkSZIkSRJgokySJEmSJEkCTJRJkiRJkiRJgIkySZIkSZIkCTBRJkmSJEmSJAEmyiRJkiRJkiTARJkkSZIkSZIEmCiTJEmSJEmSABNlkiRJkiRJEmCiTJIkSZIkSQJMlEmSJEmSJEmAiTJJkiRJkiQJMFEmSZIkSZIkASbKJEmSJEmSJMBEmSRJkiRJkgSYKJMkSZIkSZKAKUiURcSfR8QtEXFTRHyg0v3vI2JFRNwaEc+tdD+9dFsREW+tdD8qIn5eun8pIrpK9+7y/4rS/8ix5iFJkiRJkiS1alKJsoh4BnAG8MiU0onAB0v3E4CXAycCpwP/FRHtEdEOfAx4HnAC8IoyLMC/AB9KKR0DrAdeV7q/Dlhfun+oDNd0HpNZHkmSJEmSJO29JntH2Z8A708p7QBIKa0u3c8Azk8p7Ugp3QGsAB5XPitSSrenlPqA84EzIiKAZwIXlPHPBV5Umda55fsFwLPK8M3mIUmSJEmSJLVssomyhwJPKY9E/igiHlu6HwKsqgx3d+nWrPu+wIaU0kBd9xHTKv03luGbTUuSJEmSJElq2ZiJsoi4NCJubPA5A+gA9gFOBf4f8OVyt9eMEhFviIhrIuKaNWvWTHdxZhRj05hxac7YNGZcmjM2jRmX5oxNY8alOWPTmHFpztg0ZlwaMy7NGZvGjMvsNmaiLKV0WkrppAafb5Dv4vpqyq4ChoD9gHuAwyqTObR0a9Z9LbA0IjrqulMdp/RfUoZvNq1Gy/CJlNIpKaVTli9fPtYi71WMTWPGpTlj05hxac7YNGZcmjM2jRmX5oxNY8alOWPTmHFpzLg0Z2waMy6z22Qfvfw68AyAiHgo0AU8CFwIvLz8YuVRwLHAVcDVwLHlFy67yC/jvzCllIAfAi8p0z0L+Eb5fmH5n9L/B2X4ZvOQJEmSJEmSWtYx9iCj+gzwmYi4EegDzipJrJsi4svAr4EB4M9SSoMAEfEm4HtAO/CZlNJNZVp/B5wfEe8BfgV8unT/NPC5iFgBrCMn10gpNZ2HJEmSJEmS1KpJJcrKL1e+qkm/9wLvbdD9IuCiBt1vp8GvVqaUeoGXtjIPSZIkSZIkqVWTffRSkiRJkiRJmhNMlEmSJEmSJEmYKJMkSZIkSZIAE2WSJEmSJEkSYKJMkiRJkiRJAkyUSZIkSZIkSYCJMkmSJEmSJAkwUSZJkiRJkiQBJsokSZIkSZIkwESZJEmSJEmSBJgokyRJkiRJkgATZZIkSZIkSRJgokySJEmSJEkCTJRJkiRJkiRJgIkySZIkSZIkCTBRJkmSJEmSJAEmyiRJkiRJkiTARJkkSZIkSZIEmCiTJEmSJEmSABNlkiRJkiRJEmCiTJIkSZIkSQJMlEmSJEmSJEmAiTJJkiRJkiQJMFEmSZIkSZIkASbKJEmSJEmSJMBEmSRJkiRJkgSYKJMkSZIkSZIAE2WSJEmSJEkSYKJMkiRJkiRJAkyUSZIkSZIkSYCJMkmSJEmSJAkwUSZJkiRJkiQBJsokSZIkSZIkwESZJEmSJEmSBJgokyRJkiRJkoBJJsoi4uSI+FlEXBsR10TE40r3iIiPRMSKiLg+Ih5dGeesiPht+ZxV6f6YiLihjPORiIjSfZ+IuKQMf0lELBtrHpIkSZIkSVKrJntH2QeAd6aUTgbeXv4HeB5wbPm8AfhvyEkv4B3A44HHAe+oJb7KMH9UGe/00v2twPdTSscC3y//N52HJEmSJEmSNBGTTZQlYHH5vgS4t3w/AzgvZT8DlkbEQcBzgUtSSutSSuuBS4DTS7/FKaWfpZQScB7wosq0zi3fz63r3mgekiRJkiRJUss6Jjn+XwHfi4gPkpNuTyzdDwFWVYa7u3QbrfvdDboDHJBSuq98vx84YIx53IckSZIkSZLUojHvKIuISyPixgafM4A/Af46pXQY8NfAp3dnYcvdZqnV8SLiDeUdatesWbNmN5Rs9jI2jRmX5oxNY8alOWPTmHFpztg0ZlyaMzaNGZfmjE1jxqUx49KcsWnMuMxuYybKUkqnpZROavD5BnAW8NUy6FfI7x0DuAc4rDKZQ0u30bof2qA7wAO1RyrL39VjzKPRMnwipXRKSumU5cuXj7XIexVj05hxac7YNGZcmjM2jRmX5oxNY8alOWPTmHFpztg0ZlwaMy7NGZvGjMvsNtl3lN0LPK18fybw2/L9QuDM8suUpwIby+OT3wOeExHLykv8nwN8r/TbFBGnll+7PBP4RmVatV/HPKuue6N5SJIkSZIkSS2b7DvK/gj4cER0AL3kX58EuAh4PrAC2Aa8BiCltC4i3g1cXYZ7V0ppXfn+p8A5wDzgO+UD8H7gyxHxOuBO4GWjzUOSJEmSJEmaiEklylJKVwCPadA9AX/WZJzPAJ9p0P0a4KQG3dcCz2plHpIkSZIkSVKrJvvopSRJkiRJkjQnmCiTJEmSJEmSMFEmSZIkSZIkASbKJEmSJEmSJMBEmSRJkiRJkgSYKJMkSZIkSZIAE2WSJEmSJEkSYKJMkiRJkiRJAkyUSZIkSZIkSQB0THcBJEmadkNDsGMjbN8AvRsa/F3fvF/vxjyN+fvBG6+AxQft+fJLkiRJmhImyiRJM8d4ElZ3Xgl3Xz2dpWxs24OwcZWJMkmSJGkWM1GmkYaG4OpPwoa7INqgrQPa2iHay9+6bgc/Cjq6cvdoA2L4e8TI7pvugTRYplU33Z3fOxrPZ0T3Bt0idn9sbvo6fPMvYWgQhgbKp3/3z3d3W3wo/M1NEx9/aAh+8VnYdO+u/SKABuumUfed6zB27TZ/H1h+/HD3/m1w33XjnOYEuy1YDo942eTq1ta1cM81pb62Vbaj6t+67mkQBnpL/e7Mf9s7Rv7f0Q3tnSO3yz2xDUyV+66H/3nKdJdiV91LYN4S6FkK85YO/523bNdu1b/di/M6mgq3/QBu/W75J0FKo/ytH6bROBOZTuk2ldPpWQyv+OLE4/LbS+G3F48yQLUMrfTb3f1r66WJeUvhWe/Ix1FNrVu/m7enlo21vqdqnAmON39feMY/5H3/RAz0wcX/OEY5GpVrPN2aDTNV0xljmMe8Go5+GhN28zfhjssr0x7P3/ryTPQvE9i/jnMaC5fDi/8HuhZMLC592+D772zcvm/4qfWvtlEa9R/l03C8scavzW8c068Ns/iQ3J6aqJu+Bnf+FNJgPj9Ig7ldXP0/DZXvQ5Vhqn8bdE9Du06n6TSG6uZT+o168BmHv7oRlh42sXG3b4DL/jmXqeEnjdJvKvqPNkxt25jgfE57JzzhTyce1+u/Ui72prryjLaPGe+w9cMwjmGa/G11XksPh9/7JHT2TDw2M4yJMo10x2XwnbdMdyl2j1d9FY551sTH/97b8h0tc82JL5rc+L/5Lnz7b6akKDNOWzs8/CUTH/9fj566sswkhz8BXvvdsYdrpqN79P7NEla1v/3bcwN30YGw8MD8d9GBObk5mQbvTPC5F093CWamL7wsN/7nogh4znumuxRzzxd/f7pLsPt0dMPTJthW27EZrvqfqS3PTHHTV+HsjRMf/0uvmrqyzDTHnJYTiROx+T74+centDgzymTqzFdePWXFmHHW3T7xRNm62+Zunfne308uUfbV109dWWaS+66FlWfBsadNd0mmjIkyjXT0M+Cl58DGu4fvnKpdoRgaGL5KUbticeST810uOzPLddn3nVnpIbjlW/kKQ/0Vj53THWo8j9GGqV1BGUvHPNj3mMnF5i+vgx2byp09HcN3tE30qu5ccdzz4IyPwab76no0uSIM4+xe+T5/X9j/hOHuOzbDPb8ce14Nr9Q36V7fbeH+cMKLGozfgld/G37y4cZXA0fU48o28eBvxjft9m6m7Kphqw44cXLjLz9ucg3TueyNV8DKn+TvtTsda3cLjvi/SbdxD8MUTSdK7zGGmWwC83UXw93XNO/f7O7Vnf1GMdq4k+0/1rjzlsLxvzN6+TQxr/0e3Htt6+ONtc6ajjMBE5nX/H0nd4GrZzGc/i+jl6PR8oznbuw9Pkydo566a7dWvPoiuP+Gsfe9E9kXj3da45oHrY07bxns/7CJx2XxwXD6+1u762ZnG73FO3+qbftW7/jZZdxxjP/kv554XADOvBBW39zgqZfq32jQbawnDRr1m8D0p8t+x+U608pdhOO+U3ECw9S2h6mYVvsk7wD/w6/Bmt8MTx/Gty1Xl6PZvmXUYZpNhxbnVT9MGX/+PrDsyMnFZoYxUaaRIuDEF++eaT/iZbtnuntKe0feCWikCHjUNFyFnQ0nl0c+OX+k8Trw4fmjkQ49JX+k8Tr81PzRSO2dcOobp7sUM9ORT8ofjdQ5D079k+kuxcx09NMm97jvXNW90DrTzEOemT+a8aYx1SxJkiRJkiTNHCbKJEmSJEmSJEyUSZIkSZIkSYCJMkmSJEmSJAkwUSZJkiRJkiQBJsokSZIkSZIkwESZJEmSJEmSBJgokyRJkiRJkgCIlNJ0l2GPiog1wJ1TPNn9gAeneJoTVS3LESml5eMdsRKb6ViePTnPicalmT1Z9t09r1Zjsxm4dTeWp5HpqJ/HpZQWjXfgKdjPzKR9Sk2zMk319jTW/KbC7o7vfsCCScRlJq7/yZqtx6Y9obZck9mW9lRsput4Z50ZaTbVmT3JOtOcdaaxCdWZvSAuYJ1pxjrT3ITqzEy11yXKdoeIuCaldMp0lwOmpizTsTwzKYat2pNln2lx2lvqyp6e50xbzzC3YrC7l2Wy05+J63+yZuuxaU+YTbGZbcc768zuncZMY1yaMzaNGZfmjE1jxqW5ubZcPnopSZIkSZIkYaJMkiRJkiRJAkyUTZVPTHcBKqaiLNOxPDMphq3ak2WfaXHaW+rKnp7nTFvPMLdisLuXZbLTn4nrf7Jm67FpT5hNsZltxzvrzO6dxkxjXJozNo0Zl+aMTWPGpbk5tVy+o0ySJEmSJEnCO8okSZIkSZIkwESZJEmSJEmSBJgoaygiDouIH0bEryPipoj4y9J9n4i4JCJ+W/4uK90fFhE/jYgdEfHmummdHhG3RsSKiHjrHijLKyPi+oi4ISKujIhHtlKWVssbEZ+JiNURcWOlW7OyRUR8pEz7+oh4dGWcs8rwv42IsyrdH1OWZUUZN0abx54WEStL+a6NiGumeNrjju2eMB3labX+T8H8eiLiqoi4rszvnaX7URHx81IPvxQRXROY9m7dViZQnlb3Lbu1TI22pYmu56mKdQvTPjsi7illvzYinl/p9/dl2rdGxHPHmPakjhczUaN4TXA6e31sxrs9NNseI+KyEsNaPd2/brxRYxwR3WX/t6LsD4+s9Bt3PZ/MvCLiyIjYXlmGj090HrPRVGxPxmXU6RibxtMwLs2nM6diY1yaMzaNTVVcZqSUkp+6D3AQ8OjyfRHwG+AE4APAW0v3twL/Ur7vDzwWeC/w5sp02oHbgKOBLuA64ITdXJYnAsvK9+cBPx9vWSZSXuCpwKOBGyvdmpXt+cB3gABOrZRtH+D28ndZ+V5bhqvKsFHGfd5o85iGurIS2G83TXvcsd1Dy7rHy9Nq/Z+C+QWwsHzvBH5e6t+XgZeX7h8H/mR3xm8i28ruju3uLlOjbWmi63kqYt3itM+msu+vdD+BvB/tBo4i71/bm0x30seLmfhpFK8JTMPYpPFtD6Ntj8BlwCkTjTHwp8DHy/eXA18q38ddz6dgXkeOJ17WGeNibKwz1hnjYmxmR1xm6sc7yhpIKd2XUvpl+b4ZuBk4BDgDOLcMdi7wojLM6pTS1UB/3aQeB6xIKd2eUuoDzi/T2J1luTKltL50/xlwaAtlabm8KaUfA+vqOjcsW+l+Xsp+BiyNiIOA5wKXpJTWlbJfApxe+i1OKf0s5S3xvLppNZrHnNFibOdkeVqt/1Mwv5RS2lL+7SyfBDwTuGAy89ud20qrZSnlaTW2u71MDUxoPU9RrFuZdjNnAOenlHaklO4AVpD3s41M+ngxE7UYr2aMTTae7WGi2+N4Ylyd/wXAsyIiaK2eT3Ze42Wdacy4NGdsGjMuzc252BiX5oxNY1MUlxnJRNkYyu3+jyLfWXJASum+0ut+4IAxRj8EWFX5/+7SbU+V5XXkOyXGW5apKm+zsjWb/mjd725SnlbXxe6SgIsj4hcR8YY9ML+Zstw1e6w8k9wWW5lPe0RcC6wmn2TeBmxIKQ2UQSa1HdeZqm1lUsYZ291dpkbb0lSu51aXq1Vvivzo5mcqj8S1Mu3dsm7nCGOTjWd7GCtWny2PLP5TXeKppTZC2R9uBPYd57itlHG0eQEcFRG/iogfRcRTJjGPvZFxac7YNGZcmjM2jRmX5ozNLNIx3QWYySJiIfB/wF+llDZV25QppRQRaaaWJSKeQU6UPXlPlbGRPRGnPb0u6jw5pXRPedfLJRFxS8ms73bTvNy72J3l2ZPbYkppEDg5IpYCXwMeNlXTHmO+07I+Z9B+bpdtqdpzKsuyG5brv4F3k5N97wb+DXjtFE5fe4mIuBQ4sEGvt1X/mWAdfmXZxhaRt/k/JN+pPZvcBxyeUlobEY8Bvh4RJ6aUNk13wSRJ0tzhHWVNREQnuSH5vymlr5bOD9QeySl/V48xmXuAwyr/H1q67dayRMQjgE8BZ6SU1rZQlikp7yhlazb90bof2qD7aPPYo1JK95S/q8lJldEeN5kKM2K592R5pmhbbFlKaQPwQ+AJ5MfxahcWJrpdNDJV28qEtBjb3VqmJtvSVK7nVperlbI/kFIaTCkNAZ9keD/QyrSndN3OMXtNbFJKp6WUTmrw+Qbj2x6axqqyjW0GvsDI41VLbYSyP1wCrB3nuOMq41jzKo93ri3L8QvyHb8PneA89kbGpTlj05hxac7YNGZcmjM2s4iJsgbK4wifBm5OKf17pdeFwFnl+1nAN8aY1NXAsZF/Ma+L/ELaC3dnWSLicOCrwB+mlH7TYlkmXd7Ryla6nxnZqcDG8hjJ94DnRMSy8sjSc4DvlX6bIuLUEocz66bVyrqYchGxoFyZJyIWkMu9u3/xY9qXu85uLc8Ubovjnd/ycicZETEPeDb53V0/BF4y1fNjiraVicx4ArHdbWUaZVuayvXc6nK1Uv7qO81ezPB+4ELg5ZF/we8o4FjyD5Q0MlX737nI2GTj2R4abo8R0RER+8HOBPkLGXm8Gk+Mq/N/CfCDlFKitXo+qXmVfXR7WY6jy7xun+A89kbGpTlj05hxac7YNGZcmjM2s0maAb8oMNM+5McVE3A9cG35PJ/8fozvA78FLgX2KcMfSH7GeBOwoXxfXPo9n/xrcrcBb9sDZfkUsL4y7DWVaY1ZllbLC3yR/ChEf1nu141StgA+VqZ9A5Vf3yI/prSifF5T6X4KuTF/G/BRIEr3hvPYw/XkaPKvlVwH3DSR9TtVsd1Dy7vHy9Nq/Z+C+T0C+FWZ343A2yvr+qpSP78CdO/O+E1kW9ndsd2dZWq2LU10PU9VrFuY9ufKuNeTGzwHVYZ/W5n2rZRf7R1l2pM6XszET6N4TXA6e31sRqnDpwCfqgy3y/YILAB+UeroTcCHqftlykYxBt4F/G753kPe/60g7w+Prow77no+mXkB/18p/7XAL4Hfsc60PA3jYmyMi3XGuBibGRWXmfipJR0kSZIkSZKkvZqPXkqSJEmSJEmYKJMkSZIkSZIAE2WSJEmSJEkSYKJMkiRJkiRJAkyUSZIkSZIkSYCJMkmSJEmSJAkwUSZJkiRJkiQB8P8Df1w90drPyoQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1440x288 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, axs = plt.subplots(1, len(features), sharey = True, figsize = (20, 4))\n",
    "\n",
    "for i in range(len(features)):\n",
    "    col = features[i]\n",
    "    x = X_train[col]\n",
    "    m = regression.coef_[i]\n",
    "    b = regression.intercept_\n",
    "\n",
    "    axs[i].plot(x, y_train, 'o', alpha = 0.1)\n",
    "    axs[i].plot(x, x * m + b)\n",
    "    axs[i].set_title(col)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2. Validación del modelo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "**Mean Absolute Error (MAE)**\n",
    "\n",
    "$$ MAE = {1 \\over n}{\\sum_{i=1}^n {|y_{i} - y_{i}'|} } $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train: 1109.2449183905069\n",
      "Test: 1128.2288801267073\n"
     ]
    }
   ],
   "source": [
    "print('Train:', mean_absolute_error(y_train, regression.predict(X_train)))\n",
    "print('Test:', mean_absolute_error(y_test, regression.predict(X_test)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Root Mean Squeared Error (RMSE)**\n",
    "\n",
    "$$ RMSE = {1 \\over n}{\\sum_{i=1}^n {(y_{i} - y_{i}')^2} } $$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Revisa la métrica MAPE**, puede ser muy interesante para explicar mejor a un experto el resultado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train: 1434.3048169039137\n",
      "Test: 1464.5485694859922\n"
     ]
    }
   ],
   "source": [
    "print('Train:', np.sqrt(mean_squared_error(y_train, regression.predict(X_train))))\n",
    "print('Test:', np.sqrt(mean_squared_error(y_test, regression.predict(X_test))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Análisis del error**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15, 3))\n",
    "sns.boxplot(x = y_test, showmeans = True, orient = 'h')\n",
    "plt.title('Valor real de precio de venta')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     1257.000000\n",
       "mean      5438.155044\n",
       "std       2907.374126\n",
       "min        484.610000\n",
       "25%       3028.830000\n",
       "50%       4967.280000\n",
       "75%       7572.090000\n",
       "max      15144.170000\n",
       "Name: selling_price, dtype: float64"
      ]
     },
     "execution_count": 238,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1080x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15, 3))\n",
    "sns.boxplot(x = (y_test - regression.predict(X_test)), showmeans = True, orient = 'h')\n",
    "plt.title('Valor real - Valor estimado de precio de venta')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1257.000000\n",
       "mean     1128.228880\n",
       "std       934.182196\n",
       "min         1.206169\n",
       "25%       411.951443\n",
       "50%       933.146081\n",
       "75%      1639.313177\n",
       "max      6135.594767\n",
       "Name: selling_price, dtype: float64"
      ]
     },
     "execution_count": 240,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abs(y_test - regression.predict(X_test)).describe()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se podría decir que los resultados de este primer modelo son aceptables dado que:\n",
    "1) Las métricas de error para el dataset de entrenamiento y prueba son muy similares. No se evidencian problemas de sobreajuste (overfitting).\n",
    "2) Para el conjunto de prueba los valores de la variable objetivo están centrados en $4967 \\pm 0.075$, mientras que el 50% de los errores de estimación del modelo se encuentran entre $\\pm 933$."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 7. Persistencia del modelo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['model.joblib']"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filename = 'model.joblib'\n",
    "dump(regression, filename)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8. Consolidación del proceso en un Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Vamos a generar un transformador custom por cada transformación que realizamos anteriormente para aplicarlos secuencialmente\n",
    "# Al final se le aplicará la regresión\n",
    "\n",
    "\n",
    "df_cars = pd.read_csv('./data/MotorAlpes_data.csv', sep=',', encoding = 'utf-8', index_col=0)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8.1 Transformación para garantizar rangos\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "#Generate custom transformer to apply to the dataframe\n",
    "\n",
    "from sklearn.base import BaseEstimator, TransformerMixin\n",
    "\n",
    "class RangeTransformer(BaseEstimator, TransformerMixin):\n",
    "    def fit(self, X, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, X, y=None):\n",
    "        df_cars = X.copy()\n",
    "        df_cars = df_cars[(df_cars['year'] >= 1994) & (df_cars['year'] <= 2020) &\n",
    "                                 (df_cars['km_driven'] >= 1) & (df_cars['km_driven'] <= 2360457) &\n",
    "                                 (df_cars['seats'] >= 2) & (df_cars['seats'] <= 14) &\n",
    "                                 (df_cars['mileage'] >= 0) & (df_cars['mileage'] <= 46.816) &\n",
    "                                 (df_cars['engine'] >= 624) & (df_cars['engine'] <= 3604) &\n",
    "                                 (df_cars['max_power'] >= 32.8) & (df_cars['max_power'] <= 400) &\n",
    "                                 (df_cars['selling_price'] >= 363.45) & (df_cars['selling_price'] <= 121153.38)] \n",
    "        \n",
    "        return df_cars \n",
    "#Generate custom transformer that applies the interquartile range to the dataframe\n",
    "\n",
    "class IQRTransformer(BaseEstimator, TransformerMixin):\n",
    "    def fit(self, X, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, X, y=None):\n",
    "        df_cars = X.copy()\n",
    "        q1 = df_cars.quantile(0.25)\n",
    "        q3 = df_cars.quantile(0.75)\n",
    "        IQR = q3 - q1\n",
    "        df_cars = df_cars[~((df_cars[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] < (q1 - 1.5 * IQR)) | (df_cars[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] > (q3 + 1.5 * IQR))).any(axis=1)]\n",
    "        return df_cars\n",
    "    \n",
    "\n",
    "#Generate custom transformer to drop columns that have high correlation among them (multicollinearity)\n",
    "\n",
    "class DropColumnsTransformer(BaseEstimator, TransformerMixin):\n",
    "    def __init__(self, columns):\n",
    "        self.columns = columns\n",
    "\n",
    "    def fit(self, X, y=None):\n",
    "        return self\n",
    "\n",
    "    def transform(self, X, y=None):\n",
    "        df_cars = X.copy()\n",
    "        print(df_cars.columns)\n",
    "        df_cars = df_cars.drop(self.columns, axis=1)\n",
    "        return df_cars\n",
    "\n",
    "\n",
    "#Generate custom transformer that generates the dummy variables\n",
    "\n",
    "class DummyTransformer(BaseEstimator, TransformerMixin):\n",
    "    def __init__(self, columns):\n",
    "        self.columns = columns\n",
    "\n",
    "    def fit(self, X, y=None):\n",
    "        return self\n",
    "\n",
    "    def transform(self, X, y=None):\n",
    "        df_cars = X.copy()\n",
    "        df_cars = pd.get_dummies(df_cars, columns=self.columns, drop_first=True)\n",
    "        return df_cars\n",
    "\n",
    "\n",
    "#Generate custom transformer that applies linear regression predicting the selling price\n",
    "\n",
    "class LinearRegressionTransformer(BaseEstimator, TransformerMixin):\n",
    "    def fit(self, X, y=None):\n",
    "        return self\n",
    "    def transform(self, X, y=None):\n",
    "        df_cars = X.copy()\n",
    "        X_train, X_test, y_train, y_test = train_test_split(df_cars.drop(['selling_price'], axis = 1), df_cars['selling_price'], test_size = 0.8, random_state = 1)\n",
    "        regression = LinearRegression()\n",
    "        regression.fit(X_train, y_train)\n",
    "        return regression.predict(X_test)\n",
    "\n",
    "    def predict(self, X, y=None):\n",
    "        df_cars = X.copy()\n",
    "        X_train, X_test, y_train, y_test = train_test_split(df_cars.drop(['selling_price'], axis = 1), df_cars['selling_price'], test_size = 0.8, random_state = 1)\n",
    "        regression = LinearRegression()\n",
    "        regression.fit(X_train, y_train)\n",
    "        return regression.predict(X.drop(['selling_price'], axis = 1))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8.2 Aplicar los transformers en un Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['year', 'km_driven', 'seats', 'mileage', 'engine', 'max_power',\n",
      "       'selling_price', 'fuel_Diesel', 'fuel_LPG', 'fuel_Petrol',\n",
      "       'seller_type_Individual', 'seller_type_Trustmark Dealer',\n",
      "       'transmission_Manual', 'owner_Fourth & Above Owner',\n",
      "       'owner_Second Owner', 'owner_Third Owner'],\n",
      "      dtype='object')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/r_/zq13xvq14tn3xjm_rnxttsn00000gn/T/ipykernel_1217/3654689389.py:28: FutureWarning: The default value of numeric_only in DataFrame.quantile is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  q1 = df_cars.quantile(0.25)\n",
      "/var/folders/r_/zq13xvq14tn3xjm_rnxttsn00000gn/T/ipykernel_1217/3654689389.py:29: FutureWarning: The default value of numeric_only in DataFrame.quantile is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  q3 = df_cars.quantile(0.75)\n",
      "/var/folders/r_/zq13xvq14tn3xjm_rnxttsn00000gn/T/ipykernel_1217/3654689389.py:31: FutureWarning: Automatic reindexing on DataFrame vs Series comparisons is deprecated and will raise ValueError in a future version. Do `left, right = left.align(right, axis=1, copy=False)` before e.g. `left == right`\n",
      "  df_cars = df_cars[~((df_cars[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] < (q1 - 1.5 * IQR)) | (df_cars[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] > (q3 + 1.5 * IQR))).any(axis=1)]\n",
      "/var/folders/r_/zq13xvq14tn3xjm_rnxttsn00000gn/T/ipykernel_1217/3654689389.py:31: FutureWarning: Automatic reindexing on DataFrame vs Series comparisons is deprecated and will raise ValueError in a future version. Do `left, right = left.align(right, axis=1, copy=False)` before e.g. `left == right`\n",
      "  df_cars = df_cars[~((df_cars[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] < (q1 - 1.5 * IQR)) | (df_cars[['year', 'km_driven', 'mileage', 'engine', 'max_power', 'selling_price']] > (q3 + 1.5 * IQR))).any(axis=1)]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([6926.72065198, 1420.77945082,  -60.79004852, ..., 2636.47373755,\n",
       "       4947.04712393, 4947.04712393])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Apply the custom transformers to the dataframe using a Pipeline\n",
    "\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "pipeline = Pipeline([\n",
    "    ('range', RangeTransformer()),\n",
    "    ('iqr', IQRTransformer()),\n",
    "    ('one_hot', DummyTransformer(['fuel', 'seller_type', 'transmission', 'owner'])),\n",
    "    ('drop_columns', DropColumnsTransformer(['owner_Second Owner', 'transmission_Manual', 'fuel_Petrol', 'seller_type_Individual'])),\n",
    "    ('regression', LinearRegressionTransformer())\n",
    "])\n",
    "\n",
    "pipeline.predict(df_cars)"
   ]
  }
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