churn_estimation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d84e9bcb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "fd9f00c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV, RandomizedSearchCV\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import confusion_matrix, accuracy_score, precision_score, recall_score, f1_score\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from scipy.stats import reciprocal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2ab691cb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10000 entries, 0 to 9999\n",
      "Data columns (total 14 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   RowNumber        10000 non-null  int64  \n",
      " 1   CustomerId       10000 non-null  int64  \n",
      " 2   Surname          10000 non-null  object \n",
      " 3   CreditScore      10000 non-null  int64  \n",
      " 4   Geography        10000 non-null  object \n",
      " 5   Gender           10000 non-null  object \n",
      " 6   Age              10000 non-null  int64  \n",
      " 7   Tenure           10000 non-null  int64  \n",
      " 8   Balance          10000 non-null  float64\n",
      " 9   NumOfProducts    10000 non-null  int64  \n",
      " 10  HasCrCard        10000 non-null  int64  \n",
      " 11  IsActiveMember   10000 non-null  int64  \n",
      " 12  EstimatedSalary  10000 non-null  float64\n",
      " 13  Exited           10000 non-null  int64  \n",
      "dtypes: float64(2), int64(9), object(3)\n",
      "memory usage: 1.1+ MB\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RowNumber</th>\n",
       "      <th>CustomerId</th>\n",
       "      <th>Surname</th>\n",
       "      <th>CreditScore</th>\n",
       "      <th>Geography</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tenure</th>\n",
       "      <th>Balance</th>\n",
       "      <th>NumOfProducts</th>\n",
       "      <th>HasCrCard</th>\n",
       "      <th>IsActiveMember</th>\n",
       "      <th>EstimatedSalary</th>\n",
       "      <th>Exited</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>15634602</td>\n",
       "      <td>Hargrave</td>\n",
       "      <td>619</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>42</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>101348.88</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>15647311</td>\n",
       "      <td>Hill</td>\n",
       "      <td>608</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Female</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>83807.86</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>112542.58</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>15619304</td>\n",
       "      <td>Onio</td>\n",
       "      <td>502</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>42</td>\n",
       "      <td>8</td>\n",
       "      <td>159660.80</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113931.57</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>15701354</td>\n",
       "      <td>Boni</td>\n",
       "      <td>699</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>93826.63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>15737888</td>\n",
       "      <td>Mitchell</td>\n",
       "      <td>850</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Female</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>125510.82</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>79084.10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   RowNumber  CustomerId   Surname  CreditScore Geography  Gender  Age  \\\n",
       "0          1    15634602  Hargrave          619    France  Female   42   \n",
       "1          2    15647311      Hill          608     Spain  Female   41   \n",
       "2          3    15619304      Onio          502    France  Female   42   \n",
       "3          4    15701354      Boni          699    France  Female   39   \n",
       "4          5    15737888  Mitchell          850     Spain  Female   43   \n",
       "\n",
       "   Tenure    Balance  NumOfProducts  HasCrCard  IsActiveMember  \\\n",
       "0       2       0.00              1          1               1   \n",
       "1       1   83807.86              1          0               1   \n",
       "2       8  159660.80              3          1               0   \n",
       "3       1       0.00              2          0               0   \n",
       "4       2  125510.82              1          1               1   \n",
       "\n",
       "   EstimatedSalary  Exited  \n",
       "0        101348.88       1  \n",
       "1        112542.58       0  \n",
       "2        113931.57       1  \n",
       "3         93826.63       0  \n",
       "4         79084.10       0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(r\"Churn_Modelling.csv.xls\")\n",
    "\n",
    "df.info()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4dd67c0",
   "metadata": {},
   "source": [
    "Before machine learning modelling, i perform data cleaning, feature engineering, and visualization to prepare the data for modeling and to gain insights into the dataset and transform it into a suitable format for building predictive models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1a9218f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CreditScore</th>\n",
       "      <th>Geography</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tenure</th>\n",
       "      <th>Balance</th>\n",
       "      <th>NumOfProducts</th>\n",
       "      <th>HasCrCard</th>\n",
       "      <th>IsActiveMember</th>\n",
       "      <th>EstimatedSalary</th>\n",
       "      <th>Exited</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>619</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>42</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>101348.88</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>608</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Female</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>83807.86</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>112542.58</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>502</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>42</td>\n",
       "      <td>8</td>\n",
       "      <td>159660.80</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113931.57</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>699</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>93826.63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>850</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Female</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>125510.82</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>79084.10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "   CreditScore Geography  Gender  Age  Tenure    Balance  NumOfProducts  \\\n",
       "0          619    France  Female   42       2       0.00              1   \n",
       "1          608     Spain  Female   41       1   83807.86              1   \n",
       "2          502    France  Female   42       8  159660.80              3   \n",
       "3          699    France  Female   39       1       0.00              2   \n",
       "4          850     Spain  Female   43       2  125510.82              1   \n",
       "\n",
       "   HasCrCard  IsActiveMember  EstimatedSalary  Exited  \n",
       "0          1               1        101348.88       1  \n",
       "1          0               1        112542.58       0  \n",
       "2          1               0        113931.57       1  \n",
       "3          0               0         93826.63       0  \n",
       "4          1               1         79084.10       0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# removing the irrelevant columns\n",
    "cols_to_drop = [\"RowNumber\",\"CustomerId\",\"Surname\"]\n",
    "df = df.drop(columns=cols_to_drop,axis=1)\n",
    "# first five rows of dataframe after removing columns\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bd0385f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['CreditScore',\n",
       " 'Age',\n",
       " 'Tenure',\n",
       " 'Balance',\n",
       " 'NumOfProducts',\n",
       " 'HasCrCard',\n",
       " 'IsActiveMember',\n",
       " 'EstimatedSalary']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# identify numerical columns in the DataFrame\n",
    "numerical_columns = [col for col in df.columns if (df[col].dtype=='int64' or df[col].dtype=='float64') and col != 'Exited']\n",
    "numerical_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "16c6dd82",
   "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>CreditScore</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tenure</th>\n",
       "      <th>Balance</th>\n",
       "      <th>NumOfProducts</th>\n",
       "      <th>HasCrCard</th>\n",
       "      <th>IsActiveMember</th>\n",
       "      <th>EstimatedSalary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>350.0000</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>11.580000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>850.0000</td>\n",
       "      <td>92.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>250898.090000</td>\n",
       "      <td>4.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>199992.480000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>650.5288</td>\n",
       "      <td>38.9218</td>\n",
       "      <td>5.0128</td>\n",
       "      <td>76485.889288</td>\n",
       "      <td>1.5302</td>\n",
       "      <td>0.7055</td>\n",
       "      <td>0.5151</td>\n",
       "      <td>100090.239881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>652.0000</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>5.0000</td>\n",
       "      <td>97198.540000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>100193.915000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      CreditScore      Age   Tenure        Balance  NumOfProducts  HasCrCard  \\\n",
       "min      350.0000  18.0000   0.0000       0.000000         1.0000     0.0000   \n",
       "max      850.0000  92.0000  10.0000  250898.090000         4.0000     1.0000   \n",
       "mean     650.5288  38.9218   5.0128   76485.889288         1.5302     0.7055   \n",
       "50%      652.0000  37.0000   5.0000   97198.540000         1.0000     1.0000   \n",
       "\n",
       "      IsActiveMember  EstimatedSalary  \n",
       "min           0.0000        11.580000  \n",
       "max           1.0000    199992.480000  \n",
       "mean          0.5151    100090.239881  \n",
       "50%           1.0000    100193.915000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# some descriptive statistic informations about numerical columns\n",
    "df[numerical_columns].describe().loc[['min','max', 'mean','50%'],:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4cd42f5b",
   "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>CreditScore</th>\n",
       "      <th>Geography</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tenure</th>\n",
       "      <th>Balance</th>\n",
       "      <th>NumOfProducts</th>\n",
       "      <th>HasCrCard</th>\n",
       "      <th>IsActiveMember</th>\n",
       "      <th>EstimatedSalary</th>\n",
       "      <th>Exited</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2362</th>\n",
       "      <td>709</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Male</td>\n",
       "      <td>45</td>\n",
       "      <td>4</td>\n",
       "      <td>122917.71</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11.58</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "      CreditScore Geography Gender  Age  Tenure    Balance  NumOfProducts  \\\n",
       "2362          709   Germany   Male   45       4  122917.71              1   \n",
       "\n",
       "      HasCrCard  IsActiveMember  EstimatedSalary  Exited  \n",
       "2362          1               1            11.58       1  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['EstimatedSalary'] == df['EstimatedSalary'].min()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e185742b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Female (% to exit) :  25.07\n",
      "Male (% to exit) :  16.46\n"
     ]
    }
   ],
   "source": [
    "# the percentage of customers who have exited (churned) based on gender.\n",
    "percentages = []\n",
    "for gen in list(df[\"Gender\"].unique()):\n",
    "\n",
    "    p = round((df[\"Exited\"][df[\"Gender\"]==gen].value_counts()[1]/df[\"Exited\"][df[\"Gender\"]==gen].value_counts().sum())*100 , 2)\n",
    "\n",
    "    percentages.append(p)\n",
    "    print(gen,\"(% to exit) : \", p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "428be389",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(0, percentages[0])\n",
    "plt.bar(1, percentages[1])\n",
    "plt.xticks((0,1), ('Female','Male'))\n",
    "plt.xlabel(\"Gender\")\n",
    "plt.ylabel(\"Percentage\")\n",
    "plt.title(\"Percentage of gender to Exit\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "04029b2a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "France (% to exit) :  16.15\n",
      "Spain (% to exit) :  16.67\n",
      "Germany (% to exit) :  32.44\n"
     ]
    }
   ],
   "source": [
    "# the percentage of customers who have exited based on geography\n",
    "\n",
    "percentages = []\n",
    "for country in list(df[\"Geography\"].unique()):\n",
    "\n",
    "    p = round((df[\"Exited\"][df[\"Geography\"]==country].value_counts()[1]/df[\"Exited\"][df[\"Geography\"]==country].value_counts().sum())*100 , 2)\n",
    "\n",
    "    percentages.append(p)\n",
    "    print(country,\"(% to exit) : \", p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "461ae225",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(len(percentages)):\n",
    "    plt.bar(i, percentages[i])\n",
    "plt.xticks((0,1,2), ('France', 'Spain', 'Germany'))\n",
    "plt.xlabel(\"Country\")\n",
    "plt.ylabel(\"Percentage\")\n",
    "plt.title(\"Percentage of Country to Exit\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "903488e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequency')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# the age distribution\n",
    "plt.hist(df[\"Age\"],bins=20)\n",
    "plt.xlabel(\"Age\")\n",
    "plt.ylabel(\"Frequency\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "eeb07242",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'People who did not Exit (Exited = 0)')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x=range(len(list(df[\"Age\"][df[\"Exited\"]==0]))),y=df[\"Age\"][df[\"Exited\"]==0],s=1)\n",
    "plt.ylabel(\"Age\")\n",
    "plt.xlabel(\"People (rows)\")\n",
    "plt.title(\"People who did not Exit (Exited = 0)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f664ca73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'People who Exited (Exited = 1)')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x=range(len(list(df[\"Age\"][df[\"Exited\"]==1]))),y=df[\"Age\"][df[\"Exited\"]==1],s=1)\n",
    "plt.ylabel(\"Age\")\n",
    "plt.xlabel(\"People (rows)\")\n",
    "plt.title(\"People who Exited (Exited = 1)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3d2c8633",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Age\n",
       "(10, 20]      5.62\n",
       "(20, 30]      7.61\n",
       "(30, 40]     12.09\n",
       "(40, 50]     33.97\n",
       "(50, 60]     56.21\n",
       "(60, 70]     31.42\n",
       "(70, 80]      8.26\n",
       "(80, 90]     10.00\n",
       "(90, 100]     0.00\n",
       "dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age_bucket = df.groupby(pd.cut(df[\"Age\"],bins=[10,20,30,40,50,60,70,80,90,100]))\n",
    "age_bucket = round((age_bucket.sum()[\"Exited\"] / age_bucket.size())*100 , 2)\n",
    "age_bucket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1250a4c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Percentage of people in different Age Groups that exited')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [str(i)+\"-\"+str(i+10) for i in range(10,91,10)]\n",
    "plt.plot(x,age_bucket.values)\n",
    "plt.xlabel(\"Age Group\")\n",
    "plt.ylabel(\"Percentage exited\")\n",
    "plt.title(\"Percentage of people in different Age Groups that exited\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9e33dbfe",
   "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>CreditScore</th>\n",
       "      <th>Geography</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tenure</th>\n",
       "      <th>Balance</th>\n",
       "      <th>NumOfProducts</th>\n",
       "      <th>HasCrCard</th>\n",
       "      <th>IsActiveMember</th>\n",
       "      <th>EstimatedSalary</th>\n",
       "      <th>Exited</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>619</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>(40, 50]</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>101348.88</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>608</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Female</td>\n",
       "      <td>(40, 50]</td>\n",
       "      <td>1</td>\n",
       "      <td>83807.86</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>112542.58</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>502</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>(40, 50]</td>\n",
       "      <td>8</td>\n",
       "      <td>159660.80</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113931.57</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>699</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>(30, 40]</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>93826.63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>850</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Female</td>\n",
       "      <td>(40, 50]</td>\n",
       "      <td>2</td>\n",
       "      <td>125510.82</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>79084.10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CreditScore Geography  Gender       Age  Tenure    Balance  NumOfProducts  \\\n",
       "0          619    France  Female  (40, 50]       2       0.00              1   \n",
       "1          608     Spain  Female  (40, 50]       1   83807.86              1   \n",
       "2          502    France  Female  (40, 50]       8  159660.80              3   \n",
       "3          699    France  Female  (30, 40]       1       0.00              2   \n",
       "4          850     Spain  Female  (40, 50]       2  125510.82              1   \n",
       "\n",
       "   HasCrCard  IsActiveMember  EstimatedSalary  Exited  \n",
       "0          1               1        101348.88       1  \n",
       "1          0               1        112542.58       0  \n",
       "2          1               0        113931.57       1  \n",
       "3          0               0         93826.63       0  \n",
       "4          1               1         79084.10       0  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The \"Age\" column is converted into categorical bins (age groups) using the pd.cut() function\n",
    "df[\"Age\"] = pd.cut(df[\"Age\"],bins=[10,20,30,40,50,60,70,80,90,100])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fd42f28b",
   "metadata": {},
   "outputs": [
    {
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   CreditScore  Tenure    Balance  NumOfProducts  HasCrCard  IsActiveMember  \\\n",
       "0          619       2       0.00              1          1               1   \n",
       "1          608       1   83807.86              1          0               1   \n",
       "2          502       8  159660.80              3          1               0   \n",
       "3          699       1       0.00              2          0               0   \n",
       "4          850       2  125510.82              1          1               1   \n",
       "\n",
       "   EstimatedSalary  Exited  Geography_France  Geography_Germany  ...  \\\n",
       "0        101348.88       1              True              False  ...   \n",
       "1        112542.58       0             False              False  ...   \n",
       "2        113931.57       1              True              False  ...   \n",
       "3         93826.63       0              True              False  ...   \n",
       "4         79084.10       0             False              False  ...   \n",
       "\n",
       "   Gender_Male  Age_(10, 20]  Age_(20, 30]  Age_(30, 40]  Age_(40, 50]  \\\n",
       "0        False         False         False         False          True   \n",
       "1        False         False         False         False          True   \n",
       "2        False         False         False         False          True   \n",
       "3        False         False         False          True         False   \n",
       "4        False         False         False         False          True   \n",
       "\n",
       "   Age_(50, 60]  Age_(60, 70]  Age_(70, 80]  Age_(80, 90]  Age_(90, 100]  \n",
       "0         False         False         False         False          False  \n",
       "1         False         False         False         False          False  \n",
       "2         False         False         False         False          False  \n",
       "3         False         False         False         False          False  \n",
       "4         False         False         False         False          False  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# performs one-hot encoding on categorical variables in the DataFrame, converting them into numerical representations\n",
    "df = pd.get_dummies(df)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "41ea8da3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop redundant columns \"Geography_France\" and \"Gender_Female\" are dropped\n",
    "# as they can be derived from the remaining columns due to one-hot encoding.\n",
    "df = df.drop(columns=[\"Geography_France\",\"Gender_Female\"],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ac0866cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select features and target variable\n",
    "df = df.iloc[:,:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c874c50b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the cleaned data\n",
    "df.to_csv('Clean_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "96c6dfdd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10000 entries, 0 to 9999\n",
      "Data columns (total 20 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Unnamed: 0         10000 non-null  int64  \n",
      " 1   CreditScore        10000 non-null  int64  \n",
      " 2   Tenure             10000 non-null  int64  \n",
      " 3   Balance            10000 non-null  float64\n",
      " 4   NumOfProducts      10000 non-null  int64  \n",
      " 5   HasCrCard          10000 non-null  int64  \n",
      " 6   IsActiveMember     10000 non-null  int64  \n",
      " 7   EstimatedSalary    10000 non-null  float64\n",
      " 8   Exited             10000 non-null  int64  \n",
      " 9   Geography_Germany  10000 non-null  bool   \n",
      " 10  Geography_Spain    10000 non-null  bool   \n",
      " 11  Gender_Male        10000 non-null  bool   \n",
      " 12  Age_(10, 20]       10000 non-null  bool   \n",
      " 13  Age_(20, 30]       10000 non-null  bool   \n",
      " 14  Age_(30, 40]       10000 non-null  bool   \n",
      " 15  Age_(40, 50]       10000 non-null  bool   \n",
      " 16  Age_(50, 60]       10000 non-null  bool   \n",
      " 17  Age_(60, 70]       10000 non-null  bool   \n",
      " 18  Age_(70, 80]       10000 non-null  bool   \n",
      " 19  Age_(80, 90]       10000 non-null  bool   \n",
      "dtypes: bool(11), float64(2), int64(7)\n",
      "memory usage: 810.7 KB\n"
     ]
    },
    {
     "data": {
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       "      <td>False</td>\n",
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       "      <th>3</th>\n",
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       "      <td>699</td>\n",
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       "      <td>False</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  CreditScore  Tenure    Balance  NumOfProducts  HasCrCard  \\\n",
       "0           0          619       2       0.00              1          1   \n",
       "1           1          608       1   83807.86              1          0   \n",
       "2           2          502       8  159660.80              3          1   \n",
       "3           3          699       1       0.00              2          0   \n",
       "4           4          850       2  125510.82              1          1   \n",
       "\n",
       "   IsActiveMember  EstimatedSalary  Exited  Geography_Germany  \\\n",
       "0               1        101348.88       1              False   \n",
       "1               1        112542.58       0              False   \n",
       "2               0        113931.57       1              False   \n",
       "3               0         93826.63       0              False   \n",
       "4               1         79084.10       0              False   \n",
       "\n",
       "   Geography_Spain  Gender_Male  Age_(10, 20]  Age_(20, 30]  Age_(30, 40]  \\\n",
       "0            False        False         False         False         False   \n",
       "1             True        False         False         False         False   \n",
       "2            False        False         False         False         False   \n",
       "3            False        False         False         False          True   \n",
       "4             True        False         False         False         False   \n",
       "\n",
       "   Age_(40, 50]  Age_(50, 60]  Age_(60, 70]  Age_(70, 80]  Age_(80, 90]  \n",
       "0          True         False         False         False         False  \n",
       "1          True         False         False         False         False  \n",
       "2          True         False         False         False         False  \n",
       "3         False         False         False         False         False  \n",
       "4          True         False         False         False         False  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('Clean_data.csv')\n",
    "df.info()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "beb0e298",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JpIoVK+LTp09S34WHh0NNTQ0GBgYlsk2A7zwhIiIiIiIiIiIiIqJSqkGDBjhz5ozUd6dPn0bt2rWhrq5eYtvl5AkREREREREREREREf0r4uPjERgYiMDAQADAmzdvEBgYiHfv3gEQPQJswIAB4vTe3t54+/YtJk2ahKCgIGzevBmbNm3C5MmTSzSffGwXERERERERERERERH9K+7cuYPmzZuL/5/1rpSBAwfCx8cHYWFh4okUALCxsYGfnx8mTpyIv/76C2ZmZli9ejW6du1aovkUCLPerEJUypxQd1J2FpQi8UqQsrOgFOkZJfdyp9Lse+2B1VS/z8C/1/JW+U7vc01L/z77tYwMZedAOb7Xfu17PX6XVf8+yzvj+wwbqWms59+TlO+0vL/X81RVle8z8BJ8t3Kp9r3W8x4NvtMBWTH5lXdWdhb+czwSnyk7CwrH1kNERERERERERERERCSBkydEREREREREREREREQSOHlCREREREREREREREQkgZMnREREREREREREREREEjh5QkREREREREREREREJEFN2RkgIiIiIiIiIiIiIiotVNQEys4ClQK884SIiIiIiIiIiIiIiEgCJ0+IiIiIiIiIiIiIiIgkcPKEiIiIiIiIiIiIiIhIAidPiIiIiIiIiIiIiIiIJHDyhIiIiIiIiIiIiIiISIKasjNARERERERERERERFRaCNR5zwHxzhMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwMkTIiIiIiIiIiIiIiIiCZw8ISIiIiIiIiIiIiIiksDJEyIiIiIiIiIiIiIiIglqys4AEREREREREREREVFpoaImUHYWqBTgnSdEREREREREREREREQSOHlCREREREREREREREQkgZMnREREREREREREREREEjh5QkREREREREREREREJIGTJ0RERERERERERERERBLUlJ0BIiIiIiIiIiIiIqLSQqAuUHYWqBTgnSdEREREREREREREREQSOHlC+fLx8YGenp6ys0FERERERERERERE9K/gY7sKqFmzZqhRowZWrlwp9f3hw4fxww8/QCgUKidjpdilS5cwadIkPHnyBGZmZpgyZQq8vb2Vna086TeuDdufhkK3lis0zIxxp+tofD56TtnZkuvmuV244rcZ8bERMDazh0ffabB2qp1r+jfPbuHkrsUI//gK2nrGaOIxFHVb9JJK8+T2aZz1XY3o8HfQN66E1l3Hw6V2a/Hfzx1agwuH/5JaRkvXEFNXXxH/PzkpAaf3rUDQvXNIjI9BBUNz1G/dD/Va9lZI3EKhEBePrMHdS/vwLeErLGyrwbP/TBibO+S53NM7p3D+UHZsLbtMQGW31lJpbp3fhWsnNyE+JgJG5vZo32c6rByl92nEx2Cc2b8MIc9vQyjMgLGZA7qP/gN6BmYAgC2L+iPk+W2pZVzreqD7qBUKizsp8SvMbavBs1/B4/4S8Q4VjHKP+7r/JsTFRMDY3B7tekvHHR8biTMHliH48TUkfYuDlWNtePT9DQYm1uI0dy7uxaObxxH29ilSkhLwy5pbKFdep1gxA8qp58t+aomYyI8y667Xsjc6DJiJ9LRUnD24Ci8eXkZ0eCg0ymvBzqUB2vT4CToVjIsdc1bcV09uRnxmmbTvk3/c/rsXI/zDK2hXMEbj9vLjPifRBlp1HQ+XHHWhINsN/xiM0/uWS7QBe/Qck90GFOnG2V246rcZcbGi/HgWoPz9dmXuBz1jNPEcinoS++Fz6Euc8/0TH0KeICbyIzz6TEWjdgOl1nHp2AY8uXMGEWGvoa6ugUoONdG2508wMrVReHx5Ke19XUkRCoW4dFS6r/PoW7C4LxzO7utadJmAyrWy4377/Daun9qEjyFPEB8bgZ5j1sC5ViupdcwZ6ix33a26/4xG7YYWPzgJR3xm4c7FfWjfeyoath2Y/wIAHt44gf3rJsO5Zkv0Hb+m2Hn49P4FTuyYh9DXj1BOUxd1mvdAs46jIRCIHk/wJugWNi+Wzdu4BSdgZGZb6O2V9uNYdPg7nN67BO9e3kVaWgrsXZvAo+9v0NI1LHSseQk4uwtXTmT3a179psEmj37tddAtnJDo15p6DkW9ltL92pmD2f2aZ9+paJyjX0tPT8M53zUIvH4ccbGR0NYzgluTzmjeaRRUVJR3LZ0y+viSpsx6npyUgLMHluPZ/XP4Fh8DPUNz1GvVH3WaZ5+Dx8VG4My+pQh+ch0pSQkwqGiDJl4jUKV2O4XuB2XUcwCIjf4M/73L8fzhZaSlJMOwojW6DpsPc5sqCo0vL8o8fs8aLP841rrHz2jcXrHHsZxKqu6HPL+N6/4Sx++xa1BZ4vidnpaK84dW4eXDS/gSEYqy5bRg69IQrbpNgk4FE4XHeOHwX7gjUbZeA2bAJJ8Yi3sOnp6WirO+orHHl8yxh61LA7TpLjv2ePfqPs4eXIXQ4IdQVVVDxUrOGPDTBqiX0Shy3KVxPAaU/O8OyhiPXTq+AUF3s8chlvY10aZH9jikMHWBiBSHd55QiXjz5g08PDzQpEkT3L9/H9OnT8e4ceNw8OBBZWctT6qa5fH14XM8GT9X2VnJ06ObfvDbuQjNOozE6Lm+sHJyw7blIxETJXuCAQDREaHYttwbVk5uGD3XF029RuDEjgV4cvu0OM27V/exd+0k1GjYEWPnHUaNhh2xZ+0kvA9+ILUuY3N7/LLqsvjz4/wjUn/327UILx9dRbeRSzB+4Qk0bDsQJ3b8jqB7ipmEuuq3EQGnfODRdwZGzNwPLV0jbFs2BMnf4nNd5v2r+9j/9yRUa9ARo+YeQbUGHbHv74kIlYjt8U0/+O9aCHcvb3jPOQQrx9rYsWKE1D6NDn+HTQv6wNDUFoN/2YZRc46gacdRUFMvK7U9t6bdMXnlFfGnw8A5xY772smNCDjtA49+MzB8RiHiXjcJ1Rt2hPecI6jesCP2r8sR9y0/+O9eiCZe3vCefQiVHGpjxx/ZcQuFQuxZMwZfIkLRe9xaeM/yhZ6BGbYtG4KU5ETxelJTkmDv2gRNPEcWO9Ysyqrno2btl6rjg6ZsAgBUqdNOHOvHt0/RrOMojJ57EH1+XI3IzyHYsXK0wuI+uWsRmnYYiVFzfWHl6IbtK3KP+0tEKLav8IaVoxtGzfWFu9cI+O2UjXvf36K6MGbuYVRv2BF7c8RdkO1Gh7/Dxt/7wsjUBkOmbsWYuYfRTE4bUISHN0Tl37TjSIyZ6wtrRzdsXTZS7kAKEJX/1mXesHZ0w5i5vmjaYQRObF+AxxL7ITUlCRWMLNG2x6RcfxB98+w26rfqA++ZezD4l03ISE+Dz5KhUvX93/Bf6OtKgriv6zsDw3/bDy0dI2xfnn/cB9aL4vaeLYr7wLqJCH2dHXdKyjeYWDjDo++MXNfz04orUp+Og38HBAK4uLVRaIxP755FaPBDaOsVfJAbE/kBp/YuhZWjm0LykPQtHluXDoW2njG8Z+2DZ79fce3kFlz395FJO36RH6asvCz+GFS0KtI2S/NxLCU5EduXDwUEAgyc4oOh03chPT0Vu1aPQkZGRpHilefhDT+c2LEIzTuNxI/zfGHt5AafpXn0a+Gh8FnmDWsnN/w4zxfNO47AsRz9WkpKEvSNLdGuxyRo59KvXT6+ETfP70XHgb9h0uITaN9rMi77bUbAmR0Ki62wlNXHlzRl1XMAOLVnEV49voouw5dgzO8nUL/1QPjtnI9n97PPwQ/98wsiP71B73FrMWruUVR2a40Df09C2NunCtsHyqrn3xJisW5eH6iqqmHw5A2YuOg4PPpMgUZ5bYXFVhDKPH5Ljj8mr7yCzkN+h6AEjmPylFTdT03+BhNLZ3j0k3/8Tk1JQtjbp3DvMBojZx1Ez7F/IupzCHavVsx5uaQrfhtx/ZQPPPv9Bu9Z+6Cla4itS4ci+VtCrsso4hw8K8ZmHUdh1JyD6D12NaI+hWDnqtEy29q2fATsqzTCyFl74T1rH+q16guBoOg/+5XW8RhQsr87KGs8FvLsNuq26IMRM/Zg4M+bkJGRhq3LsschBa0LRKRYnDxRsNmzZ6NGjRrYvn07rK2toauri169eiEuLk6cplmzZhg3bhymTJkCfX19VKxYEbNnz5Zaz4oVK1C1alVoamrC0tISo0ePRnx89olH1qO0jh8/DicnJ5QvXx7dunVDQkICtm7dCmtra1SoUAE//vgj0tPTxculpKRgypQpMDc3h6amJurVq4eLFy9KbdvHxweVKlVC+fLl8cMPPyAqKqrQ+2HdunWoVKkSVq5cicqVK2PYsGEYMmQIli1bVuh1/ZsiTl3Gi1kr8enwGWVnJU/X/LfCzb0LajfrDmMzO3j2nQ5d/Yq4dW6P3PS3z++BnoEpPPtOh7GZHWo3645a7l1w9eRmcZrrp7bBrkpDNO0wAkZmtmjaYQTsXOrj+qltUutSUVWDtp6R+KOpoy/19/evAlGzcSfYVq6LCkbmqNO8BypaOuHDm8fFjlsoFOLGmW1o4uUNl9ptYGLhiB+GLUJqchIe3jie63IBp7fBtkpDuHuNhJGpLdy9RsK2cn0EnNmaHf9pH9R07wq3pt1hZGaH9n2mQ0e/Im6f3y1Oc+7gSjhUa4o2PX6GqZUL9I0t4Vi9GbR0DKS2p16mHLR1jcSf4g7asuJ29/KGi1tm3EMXITUlCY9u5h73jTPbYOfSEE08RXE38RwJm8r1cUMi7oBTPqjVpCvc3LPj1tWviDsXRHFHfQ5BaPADePWfBXObqjA0tYVn/1lISUrAo5snxOtp0GYgmniOgIVd9WLFKklZ9VxTR1+qjj8PvAh940qwca4DANAor43BUzajar32MDK1gaV9DXj1+w0fQ57kekJdGNdPbUUt9y6o3VQUt0dfUV28dV5+3Lcu7IGugSk8suJu2h21mnTBNf/suANOZ8btlRm31whRGzidHXdBtnvmwEo4VnNH254/wyyzDTjVkG0DinDNfyvcmnZBnWbdYWxuB89+ovK/mdt+yCr/ftNhbG6HOlnl75e9Hyxsq6J9759Rrb4n1NTLyF3PoJ//Qa0mP8DEwgGmlZzRdfgCxESF4cObJwqPMTf/lb6uJOK+eXYbmnh6o7JbGxhbOKJzAfq6m2ez+zpDib7upkTcDlXdRXej5PEDkpaukdTn+f3zsHGqhwpGlgqL8euXzzixYz66eS+BqmrBbgDPyEjH/vVT0KLzWOjLyYtQKMQVv41Y8XNrzBleA2tmdMbj26fyXOfDgGNIS01Gl2ELYWLhiCq128DdaySunfKRuZtaU9tAqk9UUVEteMASeSzNx7F3L+8hJvIDOg9dCBMLJ5hYOKHzkAX4+OYR3gTdKHS8ublycitqS/RrHfpNh65BRdzI5bh28/we6BmaooNEv+bWtAsuS/RrlrZV4dH7Z1Rv4AnVXPq1t68C4VKrBZxrNEMFI3NUrdsWDq6NEKqAc7OiUlYfX5KUWc8B4H1wIGo07Awb53qoYGiB2s16oqKlEz5KlPP74EDUa9kPFrbVoG9siaYdRkGjvLZCJ0+UVc8vHd8IPX1TdBuxAJZ21VDByBz2VRrAwKSSwmLLj7KP35LjD21dIzy7fx7WzvWgb6y441hecZdE3Xeo5o6WXSbkOgGkUV4bAyZvhmvd9jA0tYWlXQ149P0NYW8Vc14uGWPA6W1w7zASVTLLtuvwgpVtcc/BNcprY9DPm1G1bvbYw1PO2OPkrkWo36of3L2Gw8TcAQYVreFap22x+sPSOh4DSvZ3B2WNxwZOzhyHmIvGIV2GLkBsVBg+hojGIQWtC0SkWJw8KQHBwcE4fPgwjh8/juPHj+PSpUtYtGiRVJqtW7dCU1MTN2/exJIlSzB37lycOZP9g72KigpWr16Nx48fY+vWrTh//jymTJkitY7ExESsXr0ae/bsgb+/Py5evIguXbrAz88Pfn5+2L59OzZs2IADBw6Ilxk8eDCuXbuGPXv24OHDh+jevTvatWuHly9fAgBu3ryJIUOGYPTo0QgMDETz5s0xf/58qe2GhIRAIBDITLpICggIQJs20ic4bdu2xZ07d5Camlqo/UnS0tJS8DHkCexdG0l9b+/aCO9e3Ze7zLtXgTLpHVwb4UPIE6Snicrj/asHsHdtmO86oz69xeLx7lj2UyvsXTsJ0eHvpf5u5eiGZ/cv4Gv0ZwiFQrwOuonIzyGwr9q4SPFK+hIRivjYCKlY1NTLwMqpDt7nEjsAhAYHwq6KdPx2ro3x/lUgANE+DQt5Avucaao0wvtg0XozMjLw4uFFGFS0xrZlQ7FkXENsmNcDQffOymzvYcAxLP6xPtb86oVTexbnecVVQWTFLRmDmnoZWOcT9/vgQNjJ1JPGeB8cCCCzLr19IrtvqjQSrzc9LSVze9lXnKuoqEJVrQzevbxbrLjyoux6LpmPB9ePoZZ7F/GjbORJ+hYHgUAAjWI+qiyvuHMr6/dy4ravmn/cDlWz4y7IdkVt4BIMKlpj67JhWPRjI6yf2xNP78q2geLKNT9VG+Hdyzz2Q9Uc5Z9jPxRF0jfRxQ/ltXSLvI7C+q/0dYoWE5l7XxcanHdfZysTU3bcRREfG4mXjy6hZpOuRV5HThkZGTiw4Rc0bj8k30d8SLpwZC00tSvArWk3uX8/e3AV7l05hA4DZuHH34+hYZuBOLh+Ct48u5XrOt+9CoS1cx2pH1TsqzZCXEw4YiI/SKVdO6sLFo9vgi2LB+N10M0C51tSaT+OpaelAAIB1NSy94eaelkIBCoKO9Zl9WsOOfsp19z7tXevAuGQI37Hqo3w4U3h+jVrRze8enoDEWFvAABhb5/h7Yt7cKretJBRKEZp6uMVSZn1HAAqOdTC88Dz+PpFdA7+JugGoj6FwM61sVSax7f8kBgfg4yMDDy6eQJpaamwdq5bnNDFlFnPg+5dgLlNFexcPQHzRzfC6t+64NaFfYUPohiUefzOKT42Ei8eXkItBR7HclNSdb+okhLjAAWcl0sSxRgpU7bWznVyHUcAijkHlyc5x9gj/msUQl8/hJaOATbM741F4xpj08L+ePui6Mew0j4eK6nfHZQ1HpMnaxxSTjP3cUjOukCKpaIm4KeQn/9HnDwpARkZGfDx8YGrqyuaNGmC/v3749w56VsHq1WrhlmzZsHBwQEDBgxA7dq1pdJMmDABzZs3h42NDVq0aIF58+Zh3z7pk7/U1FT8/fffqFmzJtzd3dGtWzdcvXoVmzZtgouLC7y8vNC8eXNcuHABgGhSZ/fu3di/fz+aNGkCOzs7TJ48GY0bN8aWLVsAAKtWrULbtm0xdepUODo6Yty4cWjbtq3UdtXV1cV3u+Tm06dPMDGRfsaoiYkJ0tLSEBkZKZM+OTkZX79+lfqkChX3mIT/J4lxMcjISJd5HIGmrgHiY2X3LSA6edbUlb5iWEvXEBnpaUiM/yJOk3OdWrqGUuu0tK2GbiMWYeDkjeg8ZC7iYiOxYX4f8ToAwLPfdBiZ2WHJxGaYNbQati4bjg4DZsJaAY8aiY+NEMWqkzOW3GMXx5ZzGR0D8foS474gIyM9z/UmxEUhJSkRV0/8A/uqTdB/8iZUrtUKe9f8iBCJH6iqNuiAbt7LMeiXbWjacRSe3j2NPWvGFT1oAPFf5cetqZN/3PKXyY5bmJEuUzck12tY0Ra6BmY4e2AFviXEIi0tBVdObEB8bATiYyKKFVdelFnPJQXdPYekxDjUavxDrnlNTUnG6X0rUK2+FzTKaeUbW17EcevkyKOOAeLyiFu2fsvGrZljnZo62XEXZLsJX0Vt4MqJjXCo2hgDJ29E5VqtsGfNuDx/pC2K3MpfK486HxcjZz9kln+CRB9VGEKhEH67FsPK0Q0mFo5FWkdR/Bf6upKQlc+cMRSkr5Mb99ei91EPrh9GmbKaed6pUlhX/DZCRUUV9Vv3L/Ayb1/ew73LB9Fp8Dy5f09JTsT1Uz74Yeh8OFRtDH1jS9Rq8gOqN+yA2xdz/9Ewt34DEL0TAQC09IzQadAc9B67Cr1/XA1DU2v4LBks816vgijtxzEL2xooU7YczuxfhpTkb0hJTsTpfUsgFGaIt1Vcufazurn373GxkdDKeVzTKXy/1tRrGKrX98Qfv3ji10FV8eeMLmjUdgBqNPAsfCAKUFr6eEVTZj0HgPZ9foWRmR1W/NQU80ZUxY4/hsOz/yypx/119/4DGRnpWDKuPuaPrIbj22ah19g/oW+smLszlFnPoyPe4+b5PTCsaIUhU/5BvRY9cWz7Aty7erjQcRSVMo/fOQVeO4yyGpqoXLvkH9lVUnW/KFJTk3H2wHJUrVf883JJWXHIO1fOP8binYPnlJqSjNP7V6CqxNjjS+YFjecPr0Htpt0x4KcNMLVywZYlgxH1KaTggUoo7eOxkvrdQVnjsZyEQiFO7s57HCKvLhCR4vGF8SXA2toa2trZj+kxNTVFeHi4VJpq1apJ/T9nmgsXLmDBggV4+vQpvn79irS0NCQlJSEhIQGampoAgPLly8POzk68jImJCaytraGlpSX1XdZ67927B6FQCEdH6Y43OTkZBgaijj4oKAg//CB9UGrQoAH8/f3F/zc3N8ezZ8/y3Q85r9LOegyEvKu3Fy5ciDlzpN8L0Vugj76qynle8X9Czt0oFAJ5XBkvgPzykF6RbBrJ8nKs7i7xV0dUsq+BFT+3xf2rR9Co3SAAwI3TOxAa/AD9JqyFnoEZQp7fwbFtc6GtZwT7KtJXWuTnYcAxHNs6S/z/vhPWiXIpU7fk1ytJ8v6ec5/IXW9mGmHmM8+da7ZAw7aDAACmlSrj/av7uH1xj/iKvdpNe4iXN7FwhIGJFdbP6YaPIU9gZl2wl1U+DDiGY9vyjzvzyzzXlTNGCEXf5psmc72qauroOWY1jmz5DYt/rAeBiipsXRrAvqo7/hVKqOeS7l4+CIdqTXJ9AV96Wir2/f0ThMIMdBg4M9d8FVrOIhEKZctJKn2OmCAbt0yM8taZx3az9qVzLYk2YFUZ717dx+0Le2GjoKtW88iOKK68yl9OjKL1FO0KmGPb5uHT++cY8dvOIi1fUP/Fvk4RHt44huMSfV2f8euyMiiTv/z6Otk2AMjWoIK7f/Ugqtb3KvJ7Xh5cP4ajW2eL/99v4t+4cXo7Rs05mG8ZZkn+loAD66eg0+C50NSuIDdN+IdgpKUmY+vSYVLfp6elwtSqMgBg9XQvxEaFARBdpTngpw2iRDL5kG4vRqY24heUAkAl+5qIjfqEqye3wNqpDvLyXzuOaeroo/uolTixfQ5untsOgUAFVet5wtTKBYIiPKYsn4By5DX3Y5Aoufz+vTD92sMbfgi8fgw9Ry2FiYUDPr4NwvGdC6FdwRhuTToXeD2Kpuw+vrhKUz0HgJtntyM0+AF6j1sLXQNzvH1xGye2z4GWrhHsMs/Bzx9aiaSErxgweQvKa1XAs/tnsW/tBAyZtgMmFk555rFQlFDPhRlCmNtUQdseEwEAZtYu+Bz6CjfO7UGtxp0LvJ7CKE3H75zuXxEdx9RL4r10/3LdL6j0tFQcWDcJQqEQnv1n5b9AHuQdxwHZcETnx4Us20Keg0uSGnsMmCmVHgDqNO+JWk26AADMrFzw+ukN3L3iizbdJ+WZx7wDyPH/UjIeU+TvDnIpazyW6fj2efj8/jmG/Sp/HJJbXSAixePkSQHp6OggNjZW5vuYmBjo6EjfHqeuri71f4FAIPOyybzSvH37Fh4eHvD29sa8efOgr6+Pq1evYujQoVKPvJK3jrzWm5GRAVVVVdy9exeqqtIDwawJl5zPuS6qihUr4tOnT1LfhYeHQ01NTTxRI2natGmYNEn6gH5eXzEvRf1/U15bDyoqqoiPkb5CIeFrdK7Po5d3JUfC1yioqKqhvJaeRJoImTQ5rwaSVKZseZhYOIivZklNScKZAyvRZ9xqONVoBgCoWMkJYe+CcO3klkKfxDjVaA5z2+yJxqxHb8THRkq9aDe/fGrpGspcJRL/NQqamVe8lNeuINqncvZR1pUz5bUrQEVVDUZm9lJpDE3t8nykh6lVFaiqqiP689sCT54UJu683kGgpWuI+K85YoqLEl/pU167AgTy4o6TXq+ZtStGzTmMpMQ4pKelQlNHH//M6wEza9cCxVMUpaGef4n8gOAnAegzbrXc7aWnpWLPXxPxJSIUQ6ZuUcjVPuK4ZcokWuaqzCxFjjtOsn7nv93y2npQUVWDsZmdVBojM1u8e3GvcIHmIys/OdttXuWvrSe/nUvuh8I4tm0+nt2/gGG/boeufsVCL18Y/w99XVE4VW8Oi1nZcaflEndiXAH6Ojkx5bxisKDevriDqE9v0M37jyItD4gmnyzssmN7fPsUEuKisPynFuLvMjLS4b9nCQJOb8NPy2Vfbhod/g4xkR+wc2X2S0CFmXflzhriivGL/MT/7zfxb+hUkL7jN+sRVAMmrUd6ehoAQL2MBgD5+yz+a5T4b7mxsKuOBwHH8on+v3kcs3dtjPGLzyAh7gtUVFVRrrwOlk5oDFdDi3zjLYjc+tn4vPo1OW06Z/9eECf3LBPdfZJ5p0lFS0fERH7EpWMblDJ5Uhr6eEUoTfU8NSUJ5w6uRK+xf8KxejMAQEVLJ3x69wzXT22GXZWGiA5/h1vndmL0vGMwznx0YMVKznj74i5und+FDgOkL2QrCmXWc209QxibS5+jGJvZ4smd07ksUXyl6fgt6e2LO4j89AbdRxX9OJaXf6vuF0Z6Wir2/z0RMRGhGDjFp9jn5TmP41nnKHE5Y8zjHB1QzDl4lvS0VOxdOxFfIkMx5BfpsYe2nhEAwEjOeXrWBRSFVZrHY4r+3UGSssZjko5vn49ngRcwbJr8cUhedYGIFI+P7SogZ2dn3LlzR+b727dvw8lJgVfpALhz5w7S0tKwfPly1K9fH46Ojvj4sfgvf6pZsybS09MRHh4Oe3t7qU/FiqIO2cXFBTduSL8YM+f/C6JBgwZS73ABgNOnT6N27doyEzwAULZsWejo6Eh91AWsnvKoqZWBmXUVvHpyXer7V0+uo5J9TbnLVLKvIZv+8TWYW1eBqpqoPCztqyNYJk3u6wSAtNQURHx8Da3Mk7X09DSkp6dCkKPsBCqqMhOIBVG2nBYMTKzEHyMze2jpGknlMy0tBW+f34ZlHvm0sKuB1zliC35yDZb2NQCI9qmpdRWZ+F8/vQ5Lu5riNObWroj89EYqTdTnEOgZmOW67fAPL5GenireRwWRa9xPpeMOySduS7saMjEFP74GS7sa4pjMrKpIrRcAgp9cl7tejfLa0NTRR9TnEHwMeQynmi1k0ihKaajn964cgqaOPhzlPBM+a+Ik6vNbDJ6yGeW15F8VXlhZccuUWy5lAgCW9rLlLC9u2X2THXdBtqumVgbmNq6IDMvRBj6FQNcw9zZQFOLyfywnzw657wfZ9NL7oSCEQiGObpuHJ3fPYMjULdA3UswPp3n5f+jriqJsOS3om1iJP1lxv5bok9Iz+zoLu7z7utc5+rHXEnEX1v0rB2BqVQUVLZ2LtDwAlC2nKVWmdZp1x5h5hzF6rq/4o61njMbth2DA5I1y12Foaoux849ILeNUowVsnOth9Fxf6OhXhLGZPdTUyiA2KkxqewYmVtA1MAUA6Bmai7/LmmCpZF8DIc/viH8MAkTtRVvPGHqG5rnGFfYuSPwDTd7x/3ePY5raFVCuvA5eB91AQlwUnGo0zzfegsjq114Wol+rJKdfe/noGsxtCtevpaR8kzk3U1FRRYaSHpGrzD5ekUpTPU9PT0OGnHNwFRUV8SRraso3AJCfpgjn6fIos55bOdZCZFiI1HeRnxR/7JJUmo7fku5dPgAz6yqoWKnox7G8/Ft1v6CyJk6iwt+K76oqrpzHcWMze2jpGsqUbciz23mOlxVxDp4V4961mWOPn2XHHnqG5tDWM5Y5T4/89BZ6RTxPL83jMUX/7iBJWeMxQDQOOb59Hp7ePYMhU7aggpxxSH51gYgUj79OF9Do0aMRHByMMWPG4MGDB3jx4gX++usvbNq0CT///LNCt2VnZ4e0tDT8+eefeP36NbZv345169YVe72Ojo7o27cvBgwYAF9fX7x58wa3b9/G4sWL4efnBwAYN24c/P39sWTJErx48QJr1qyRemQXAHz48AHOzs64dSv3Z597e3vj7du3mDRpEoKCgrB582Zs2rQJkydPLnYcJUlVszx0qjtDp7roRLO8jQV0qjtDw9JUyTmT1qjdQNy9dBB3Lx9E+Mdg+O1ciNioMNRp0RMAcHrfChxY/4s4fZ0WvRAT+RF+uxYh/GMw7l4+iLuXfdG4/RBxmoZtBuDV4+u4fOIfRHx8jcsn/kHw0wA0bDtAnObk7iV48+wWoiNC8T74AXavGY/kb/GomXkrvEY5LVg714H/3qV4HSRKd+/KIQReOwIXt1bFjlsgEKB+6wG4cnw9gu6ewefQFzi8cRrUy2qgWn0vcTrff37Bmf3Lxf+v37o/gp9cw5UT/yAi7DWunPgHr58GoEHrgRLxD8K9ywdw7/JBRHwMxsndmfu0ea/s/d5+KJ7cOok7l/Yh6vNb3Dy7Ay8CL6BOiz4ARFcJXzzyFz68eYQvkaF48eAS9q2dANNKLqjkUEuxcW+aBvUyGqhaTzruswey466XGfdVP1HcV/3+weugANSXiLtB28y4r4ji9t+9ELHRYajdLDvuJ7f98ebZTUSHv8ez++ewbdkQONdqCXuJF5DGxUYg7F0QosPfAQDCQ18g7F0QEuNjihy3suo5ILpT794VX9Rs3BmqqtI3aaanp2H3mgn4EPIE3b2XIiMjHXExEYiLiZD6IbKoGrbNEfcuUdx1m2fGvX8FDmzIjrtuc1HcJ3dnx33vsi8atcuOu0HrAQiWE3eDNgMKvF0AaNx+CB7f8sedi6I2cOPsTjwPvIh6LXoXO+6cssr/zqWDCP8QjBOZ5V83s/xP7VuB/RLlXzer/HcuQviHYNy5dBB3L/misUf2fhC9dDcIH98GIT0tFV+/hOPj2yBEfX4rTnN061w8yHy8TVkNTXHZpqYkKTzG3JT2vq4k467XagCunFiPoHtnEB76Aoc3y/Z1hzb+grMHJfq6Vtl9XaREX1dPIu6UpAR8eheET++CAABfIkPx6V0QYqOkL05J/haPp3dOoZZ7d4XGVl6rAkwsHKU+qqpq0NI1lHo01oENv+D0/hUAAPUyZWWWKVdeG2U0NGFi4Qg1tTIoW04TjdoPxsndi3D/6mFEh7/Dx7dPcfPsTtzP4zn/1ep7QU2tDHw3Tsfn0Bd4evcMLh/fgEZtB4kfKXH91FY8vXsWUZ9C8PnDS5zevwJP75xGvZaFrwf/hePY/SsH8T44ENHh7/Ag4Cj2rx2PBq0HwtDUttDx5qZJ+4G4czG7Xzu+YyFiosJQr6WoX/PfuwL71mX3a/Va9MKXyI84LtGv3bnkC/cC9GuREv1a5RrNceHoejwLvIgvER/w5M4ZXPX3QRUFnJsVlbL6+JKkzHquUU4LVk51cHr/Urx5dhNfIkJx/6ovHlw/gsq1WgMQvf9H39gKx7bNQujrh4gOf4fr/psR/PQ6nGspri4oq543ajcQ74If4MLR9Yj8/BaB14/j1oX9qN+qZI9dkpR9/AaApG/xeHJb8cexvJRk3U9OSkDYuyCEZR6/YyJDEfYuCDGZx+/09DTsWzseH0Meo+vwpcgQpiMuNgJxsYo5L5eMsUGbAbh8bAOeZsbou3G6TNlKHscBxZyDp6enYc9forFHt5Hyxx4CgQCN2w/BjbM78Pj2KUR9fouzB1chMuw13Ny7Fjnu0joeK+nfHZQ1Hju+XTQO6e69FGXkjEMKUheISPH42K4Csra2xpUrV/Drr7+iTZs2SEpKgqOjI3x8fNC9u2JPTGrUqIEVK1Zg8eLFmDZtGtzd3bFw4UIMGDAg/4XzsWXLFsyfPx8//fQTPnz4AAMDAzRo0AAeHh4AgPr162Pjxo2YNWsWZs+ejVatWuG3337DvHnZLypNTU3F8+fPkZiYmOt2bGxs4Ofnh4kTJ+Kvv/6CmZkZVq9eja5di37g/jfourmiwbnt4v+7LJsOAHi/zRcPh05TVrZkVK3ngcT4GFw4shZxMREwMXdA/0nrUCHzatG42AjERGffnqtvZIEBP62D365FuHluF7T1jOHZbzqq1Ml+gWAlh5roMXo5zh5chXMH/4S+sSV6jl4OS7vq4jRfv3zCvr8nIzEuBuW1K8DSvjpGztwj3i4A9By1HKf3/4H9637Gt4RY6BmaoXW3CajbQvrEvqgaewxDWmoSjm+fi6SEWJjbVUP/nzahrMStqrFRH6WeJ1rJoRa6eS/Hed9VuHBoNSoYW6K79wpYSMTmWs8DiQkxuHT0L8TFRsDY3AF9J66XugK3sltreA2YjSsnNuDkzt9hWNEGPcesFr+IU1VVHa+DAnDjzDakJCdCV98UDtWaolmnMVAp5jPTG7UfhtSUJJzYMRffEmJhYSsn7uiPEKhIxG2fHff5Q6uhb2yJbjnjriuqS5eO/oX4rLgnSMcdFxOOU3sWIf5rFLT1jFC9QSe4dxwllb87F/bg0tG/xP/fsqgfAKDTkAWo2bhLkWJWVj0HgOAnAYiNCoObu2zev0Z/xrP75wEAf834QepvQ6ZuhW3l4r0TIivui0fWIi42O+6sMomPiZC6/b6CkQX6T1qHk7uz4/boKxt391HLce7gKpz3/RMVjC3RY5R03PltFwBc3Fqjw8BZuHxiA07sXADDijboNXaV1MtoFaVa/Rzlb+GAAT9JlH+O/aBvZIGBk9fhxM5FuHFuF3T0jOHZfzpcJfZD3JcI/DUju0yvntyMqyc3w8a5DoZN3wYAuHV+DwBg44LsgTsAdB2+ALWaSJd3SSrNfV1JatReFLefZF83SU5fJxG3pX0tdBu5HOcPrcKFw5l93cgVsLDNjvtjyGNsXZpdpqf3LgIAVG/YGZ2HLhJ///jWCQghhGtd5bxIOzYqDCqFvPO2ZZfx0NQxwOXjG/AlIhQa5bVhauWCph1G5LqMRnltDPx5E45vn4t1s7tDQ1MHDdsOQsPM95cBQHp6Kk7tXYqvXz5DvYwGjM3t0X/iOrl34xVEaT+ORX4KwdmDf4jPXZp4eaNBm0FQpGr1PZAQH4Nzh7P7tUGTpfu1GMl+zdgCg7L6tbOifq2DnH7tz9+y+7UrfptxxU/Ur434VdSvdRzwG04fXIUjPnMR/zUaOhWMUbd5D7T4IfuRcP82ZfXxJU2Z9byb9wqcO7ACvhtE5+C6BmZo0WWCeIJFVU0dfSeux9kDy7F79SikJCVC37gSfhi6CI7Vitau5VFWPbe0rYp+41fj1L4/cP7wWlQwsoBXv6mo2aiDwmIrCGUevwHg8c0TAISoWu/fPY6VVN3/GPIYW5dkH79P7ck8fjfqjB+GLsLXL5/wPFB0Xr5udmepPA2cshU2zvUUFmMTj2FIS0nGsW1zkZTwFRZ21TBw8kaULaeZHWOO47gizsElxx5rZ+YYe/yyFTaZY4+GbQciLTUFJ3cvwrf4WFSs5IRBP2+CvnGlIsdcWsdjQMn+7qCs8VjWOGTzIulxyA9DReOQgtYFUhyBunLeq0ali0CoqJdcECnYCXXFPg7tvyLxSpCys6AU6Rnf50Hpe+2B1VS/z8C/1/JW+U7vc01L/z77NQU9/eU/53vt177X43dZ9e+zvDO+z7CRmsZ6/j1J+U7L+3s9T1VV+T4Dz+Od7//Xvtd63qPBdzogK6YLDtXzT0RSmr98oOwsKBxbDxERERERERERERERkQROnhAREREREREREREREUng5AkREREREREREREREZEETp4QERERERERERERERFJUFN2BoiIiIiIiIiIiIiISgsVNYGys0ClAO88ISIiIiIiIiIiIiIiksDJEyIiIiIiIiIiIiIiIgmcPCEiIiIiIiIiIiIiIpLAyRMiIiIiIiIiIiIiIiIJnDwhIiIiIiIiIiIiIiKSoKbsDBARERERERERERERlRYCVYGys0ClAO88ISIiIiIiIiIiIiIiksDJEyIiIiIiIiIiIiIiIgmcPCEiIiIiIiIiIiIiIpLAyRMiIiIiIiIiIiIiIiIJnDwhIiIiIiIiIiIiIiKSoKbsDBARERERERERERERlRYqqgJlZ4FKAd55QkREREREREREREREJIGTJ0RERERERERERERERBI4eUJERERERERERERERCSBkydEREREREREREREREQSOHlCREREREREREREREQkQU3ZGSAiIiIiIiIiIiIiKi0EKgJlZ4FKAd55QkREREREREREREREJIGTJ0RERERERERERERERBI4eUJERERERERERERERCSBkydEREREREREREREREQSOHlCREREREREREREREQkQU3ZGSAiIiIiIiIiIiIiKi0EqrzngHjnCRERERERERERERERkRROnhAREREREREREREREUng5AkREREREREREREREZEETp4QERERERERERERERFJ4AvjqdRKvBKk7CwoRfkmlZWdBaVIuPx9lrfgO53CFgiUnQPlSM/4PgNXF2QoOwtK8Z0WN1Izvs+OTV1NqOwsKIWa6vcZd0ra99nAy3yn9VxV5fuMO/37PHxD+H0WN31nvtfxGBFRYXHyhIiIiIiIiIiIiIgok4oqZxmJj+0iIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiCZw8ISIiIiIiIiIiIiIiksDJEyIiIiIiIiIiIiIiIgmcPCEiIiIiIiIiIiIiIpKgpuwMEBERERERERERERGVFgIVgbKzQKUA7zwhIiIiIiIiIiIiIiKSwMkTIiIiIiIiIiIiIiIiCZw8ISIiIiIiIiIiIiIiksDJEyIiIiIiIiIiIiIiIgmcPCEiIiIiIiIiIiIiIpKgpuwMEBERERERERERERGVFiqqAmVngUoB3nlCREREREREREREREQkgZMnREREREREREREREREEjh5QkREREREREREREREJIGTJ0RERERERERERERERBI4eUJERERERERERERERCRBTdkZICIiIiIiIiIiIiIqLQSqAmVngUoB3nlCREREREREREREREQkgZMnREREREREREREREREEjh5QkREREREREREREREJIGTJ0RERERERERERERERBI4eUJERERERERERERERCRBTdkZICIiIiIiIiIiIiIqLQQqvOeAeOcJERERERERERERERGRFE6eEBERERERERERERERSeDkCRERERERERERERERkQROnhAREREREREREREREUng5AkREREREREREREREZEENWVngIiIiIiIiIiIiIiotBCoCJSdBSoFeOfJf4hAIMDhw4cBACEhIRAIBAgMDFRqnoiIiIiIiIiIiIiI/t/wzpNi+vTpE37//XecOHECHz58gLGxMWrUqIEJEyagZcuWJbZdS0tLhIWFwdDQEABw8eJFNG/eHF++fIGenp44XXh4OGbMmIGTJ0/i8+fPqFChAqpXr47Zs2ejQYMGJZa/f9PNc7twxW8z4mMjYGxmD4++02DtVDvX9G+e3cLJXYsR/vEVtPWM0cRjKOq26CWV5snt0zjruxrR4e+gb1wJrbuOh0vt1uK/nzu0BhcO/yW1jJauIaauviL+f3JSAk7vW4Gge+eQGB+DCobmqN+6H+q17K2gyBVHv3Ft2P40FLq1XKFhZow7XUfj89Fzys4WAFH5Xj25GfExETA2t0f7PvmXr//uxQj/8AraFYzRuL388j13KLt8W3UdDxe31lJp8ttuclICzuzPLl89Q3M0aN0PdVvIlq9QKMT2FSPx8tEV9P7xT7i4tSrSfvi36zkAfI3+jFP7luPFw8tIS02GQUVr/DBkPsxtqgAQtYVHN/0QG/UJqmrqMLN2QetuE2BpV73QMRbEjbO7cNVvM+JiReXiWYD94Lcrsz7oGaOJ51DUk9gPn0Nf4pzvn/gQ8gQxkR/h0WcqGrUbKLWOS8c24MmdM4gIew11dQ1UcqiJtj1/gpGpTYnECIjqzMUja3D30j58S/gKC9tq8Ow/E8bmDnku9/TOKZyXqNstu0xA5Rx1+9b5Xbh2chPiYyJgZG6P9n2mw8oxex8e2jgVgdcOSy1jYVsdw2fsFf9/y6L+CHl+WyqNa10PdB+1oogRyxdwdjcunxCVt4m5Pbz6TYVNHuX9Oug2TuxajM8fXkFHzxjunkNQv2V2ed+6sB/3rh7Bp9BXorhsXNC2+wRY2lWTWk9s9Gec3LscLx5eQWpKMgwrWqHrsPmwyKz3iiYUCnHh8F+4I1HeXgNmwCSf8lZEX/bkzmncubgPH0OeIDE+BqPn+MLUqnKu+SxuX5YfoVCIy8fW4P7lvUhK/Aozm+po32cmjPLZF0F3T+HSkVX4EvEOFYwqoVnniXCulb0vrvmtx7N7pxH16TXUymjAwq4mWnadDIOKtuI084c7yV13y24/o0HbYYoJEKX3vOXgP9Nw/+phqTQWdtXgPXMvFEFZx7Esl45twJkDf6BBm/7w7Dtd/H1Jn68pqz9PT0vFOd9VePnwEr5EhEKjvBZsXRqiVbdJ0KlgIl5HdPg7nNq7BO9e3EV6WgrsqzaBR9/foKVrqJD48xJwdheunMg+pnv1m5ZPH38LJySO6U09h6KeVB+/D/evHsWn0JcAAHMbF7TtPlGmjy9Jpbk/T4yPwflDa/DqyTV8jf6E8loVULlWS7TsMg4a5bUVuh+U0d7T09Nw/tAaPAg4jvjYSGjrGaFm485o1nEUVFRK5ppRyfadlPgV5rbV4Nmv4O0765iVW/u+7r8JcZnl3a639PlafGwkzhxYhuDH15D0LQ5WjrXh0fc3GJhYi9NEh7/D6b1L8O7lXaSlpcDeteTad0nti5Dnt3HdfxM+hjxBfGwEeo5dg8q1pM8/nt49jbsX9+Lj2yf4Fh+DkbMPwbSS/HOZ4lDGuDTk+W1c9duMj2+fIC4mQu751/ms8Vh09nisVVeOx4qrtI6/42MjcWrfcrx6fA1JiXGwdqoNz36/wrCitcL3ARGJ8M6TYggJCYGbmxvOnz+PJUuW4NGjR/D390fz5s0xZswYucukpqYqZNuqqqqoWLEi1NTynv/q2rUrHjx4gK1bt+LFixc4evQomjVrhujoaIXkQ56UlJQSW3dOj276wW/nIjTrMBKj5/rCyskN25aPREzUR7npoyNCsW25N6yc3DB6ri+aeo3AiR0L8OT2aXGad6/uY+/aSajRsCPGzjuMGg07Ys/aSXgf/EBqXcbm9vhl1WXx58f5R6T+7rdrEV4+uopuI5dg/MITaNh2IE7s+B1B90rHpIQkVc3y+PrwOZ6Mn6vsrEh5dNMPJ3ctQtMOIzFqri+sHN2wfUXu5fslIhTbV3jDytENo+b6wt1rBPx2ypbvvr8noXrDjhgz9zCqN+yIvTnKtyDbPZlVviOWYNyCvMs34PRWoBh3eyqrnn9LiMWG3/tARVUNA3/agHELjqN9rylSA2zDitbw6v8bfvz9CIb/ugMVDM3hs3QYEr4qvo95eEO0H5p2HIkxc31h7eiGrctGIiYy9/2wdZk3rB3dMGauL5p2GIET2xfgscR+SE1JQgUjS7TtMSnXgeSbZ7dRv1UfeM/cg8G/bEJGehp8lgxFSnKiwmPMctVvIwJO+cCj7wyMmLkfWrpG2LZsCJK/xee6zPtX97H/70mo1qAjRs09gmoNOmLf3xMRKlGmj2/6wX/XQrh7ecN7ziFYOdbGjhUjZOqSfdUmmLzyivjTd+J6me25Ne0ulabDwDmK2wEAHtw4ieM7FqJ5p5EYN+8grJ3csGVpHuUdHooty7xh7eSGcfMOolnHETi2fQEeSZT366BbqN7AEyOmb8HoWbuga2CKTUuGIzb6szhNYkIs/p7XF6qqahg8eT0mLjoGzz5TUE7BPyxJuuK3EddP+cCz32/wnrUPWrqG2Lp0KJK/JeS6jKL6stTkb6jkUBOtu0/KN5/F7csKIsD/H9w8swXt+szEkF8PQEvXEDv/GIzkpNzrfmjwffhumIiq9Tth+MwjqFq/E3w3TMCH19n74u2LW6jdvC8GT9uHvhO3ICM9HTv/kG7HE5Zdlfp4DVoACARwrtVWYfGV5vMWAHCo2kQqzYBJsm3/vxY3AIS+foTbF/ehoqXsBFlJn68pqz9PTUlC2NunaNpxNLxnH0TPsX8i6lMIdq8eLV5HSnIiti0bCgEEGDTFB0On70J6Wip2rRqFjIwMhcSfm4c3/HBixyI07zQSP87zhbWTG3zy6eN9Mvv4H+f5onlmH/9Yqo+/jWoNPDB8ug9GzdoNPQMzbF4yTKqPL2mluT+PiwlHXEw42vWcgrHzj6DLsAV4+egKDm3+TXE7AMpr71dObMTtC3vRof9vGL/wBNr2nIyrJzfjxtkdCo1P0rWTGxFw2gce/WZg+IxCtO91ovL2nnME1Rt2xP51Odr3LT/4716IJl7e8J59CJUcamPHH9ntWygUYs+aMfgSEYre49bCe5Yv9AzMsG3ZEPFxLSU5EduXDwUEAgzMat/pqdi1umTad0nti9TkbzCxdIZHvxm5ric1+RssHWqhVbefFBqTJGWNS1OSv6FiJSd49su9nRpkjsfGzj+CYZnjsa3LOB4rjtI6/hYKhdi5aiyiw9+j7/i/MHquL3QNzLBlyZASHZsSfe84eVIMo0ePhkAgwK1bt9CtWzc4OjqiSpUqmDRpEm7cuAFA9KitdevWoVOnTtDU1MT8+fMBAMeOHYObmxs0NDRga2uLOXPmIC0tTbzuly9fwt3dHRoaGnBxccGZM2ekti352K6QkBA0b94cAFChQgUIBAIMGjQIMTExuHr1KhYvXozmzZvDysoKdevWxbRp0+Dp6SleV0xMDEaMGAETExNoaGjA1dUVx48fF//94MGDqFKlCsqWLQtra2ssX75cKi/W1taYP38+Bg0aBF1dXQwfPhwAcP36dbi7u6NcuXKwtLTEuHHjkJCQ+8ChKK75b4WbexfUbtYdxmZ28Ow7Hbr6FXHr3B656W+f3wM9A1N49p0OYzM71G7WHbXcu+Dqyc3iNNdPbYNdlYZo2mEEjMxs0bTDCNi51Mf1U9uk1qWiqgZtPSPxR1NHX+rv718FombjTrCtXBcVjMxRp3kPVLR0woc3jxW6DxQh4tRlvJi1Ep8On8k/8b/o+qmtqOXeBbWbisrXo+906OhXxK3z8sv31oU90DUwhUdW+TbtjlpNuuCaf3b5BpzOLF+vzPL1GgHbyvURcDq7fAuy3ffBgajRqBNsssq3mfzyDXv3DNdObcUPQ34v8n5QVj2/fGIjdPVN0XX4AljYVUMFI3PYVWkAA5NK4jTVG3jBvkpD6BtbwsTCAe37TEXyt3h8ev+8yPHmuR+adkGdZt1hbG4Hz36i/XAzt/qQtR/6TYexuR3qZO0Hv+z9YGFbFe17/4xq9T2hpl5G7noG/fwPajX5ASYWDjCt5IyuwxcgJioMH948UXiMgOik+MaZbWji5Q2X2m1gYuGIH4YtQmpyEh7eOJ7rcgGnt8G2SkO4e42Ekakt3L1Giur2ma3iNNdP+6Cme1e4Ne0OIzM7tO8jqtu3z++WWpeaWhlo6xqJP+W19GS2p16mnFQaRV+1evWkD2o37Yq6zbrB2NwOHfpNg66BKW7kUu9vnt8LPUNTdOg3DcbmdqjbrBtqN+2CK35bxGl6jV6KBq16w8yqMozNbNF16FwIMzLw6ukNcZpLxzdBT78iuo9YAEu7atA3Mod9jnqvSEKhEAGnt8G9w0hUySzvrsMLVt6K6MtqNOqE5p3GwM6lYZ75VERflh+hUIhb57ahsYc3nGu1gbG5IzoOXozUlCQ8vpn7vrh1ditsXRqikcdIGJraoZHHSFg718fNs9l1v8+ETajeqAuMzB1gYumMDoMX4mv0R4S9zW7HWrpGUp8Xgedg7VQPFYwsFRZjaT5vAQA19TJSaeS1/f9a3MlJCdi/7md0HjIXGpo6MtsqyfM1ZfbnGuW1MfDnzXCt2x6GprawtKsBj76/4WPIE/GPP+9e3kNM5Ad0HrYQJpZOMLF0QuehC/DhzSO8CbohN2+KcuXkVtSWOKZ36DcdugYV8+jj92T28dnHdLemXXBZ4pgu6uP7iPv4Lpl9fPDTgBKNJUtp789NLBzR+8fVcK7ZHPrGlWDrUh+tuk7A88ALSE9Pk7tMUSirvb9/FQjnWi3gVKMZKhiZw7VOW9i7NiqxsVdW+3b38oaLW2b7HroIqSlJeJTHMevGmW2wc2mIJp6i9t3EcyRsKtfHDYn2HXDKB7WadIWbe3b71tWviDsXRO076nMIQoMfwKv/LJjbVIWhqS08+89CSlICHt08AUCifQ9dCBMLJ5hYOKHzkAX4WALtuyT3hUM1d7TsMgEubm1yXU/1hp3QrOMY2LqU3JM1lDUudazmjlZdJ6BK7Tzib+AFu6zxmLkD2vXOHI+FcjxWrDhL4fg76nMI3gc/QMeBs2BhWxVGpjboOHAmUpIS8TDgRInsCyLi5EmRRUdHw9/fH2PGjIGmpqbM3yUfnTVr1ix06tQJjx49wpAhQ3Dq1Cn069cP48aNw9OnT7F+/Xr4+Pjg999FP0hkZGSgS5cuUFVVxY0bN7Bu3Tr88ssvuebF0tISBw8eBAA8f/4cYWFhWLVqFbS0tKClpYXDhw8jOTlZ7rIZGRlo3749rl+/jh07duDp06dYtGgRVFVVAQB3795Fjx490KtXLzx69AizZ8/GjBkz4OPjI7WepUuXwtXVFXfv3sWMGTPw6NEjtG3bFl26dMHDhw+xd+9eXL16FWPHji3Mbs5TWloKPoY8gb1rI6nv7V0b4d2r+3KXefcqUCa9g2sjfAh5gvQ00V1B7189gL2r9KBD3jqjPr3F4vHuWPZTK+xdOwnR4e+l/m7l6IZn9y/ga/RnCIVCvA66icjPIbCv2rhI8X5v8irf97mU73s55WtfNf/ydaiaXb4F3a6VgxueB17A1y/S5esgUb4pyd+wf91kePX7Ddp6RoXcA8g3PyVdz5/dvwBz6yrYvWYCFo5thL9mdMHti/vyzOudC/ugUV4bFSs5FyrO/OS6H6o2wruXedSHqjn2Q476UBRJ3+IAAOW1dIu8jrx8iQhFfGyEVKxq6mVg5VQn17oPAKHBgbCrIh2vnWtjvH8VCEC0D8NCnsA+Z5oqjfA+WHq9Ic9uYcm4hlg9tS2ObJmB+K9RMtt7GHAMi3+sjzW/euHUnsV5XllYWGlpKfgQ8hQOOcvPtSHevgyUu8zbV4FwkGnbjRH6JvfyTk1OQnp6GsprZpdl0L3zMLdxxc7VEzBvdGOs+q0Lbl3YX7yA8iAq70iZ8rZ2rpNrGwcU15cVhCL6soKIiRTVfdsq2f2omnoZWDnWQWhwHnX/dSBsXaSPrXZVmuS5THJmOy6nKb8dx3+NxKtHl1CjcbfChJCn0n7eAogeObFwbCP8MaUdDm2W3/YLS9lxH9s2D07Vm8K+ivwflEvyfK009OeSkr7FQSAQQKO8aBIpPS0FAoEAamrZP1apqZeFQKCCdy/vFjjOwsqqE7J9fO7H9HevAuGQo044Vm2EDwXo43Nr54r2X+jPc0r6Foey5bSgqqqYp3krs71XcnTD66c3EPnpDQDRpP/bF/fgWK1pseOSJ6t9S7ZVNfUysM6nfb8PDoSdzP5pjPfBgQAy9+HbJ7J9QJXs8k5PS8ncXlnx31VUVKGqVkbcdtPTUoB/qX2X1L4oLZQ1Li1qXu9c3AeNctqoaMnxWFGU5vF3WuaTbGTbvjrevrxXhGiJqCD4zpMievXqFYRCIZyd8z8g9enTB0OGDBH/v3///pg6dSoGDhQ9x9HW1hbz5s3DlClTMGvWLJw9exZBQUEICQmBhYUFAGDBggVo37693PWrqqpCX1909aCxsbHUxI2Pjw+GDx+OdevWoVatWmjatCl69eqFatVEz/49e/Ysbt26haCgIDg6Oorzk2XFihVo2bIlZswQ3Sbr6OiIp0+fYunSpRg0aJA4XYsWLTB58mTx/wcMGIA+ffpgwoQJAAAHBwesXr0aTZs2xd9//w0NDQ2pGJKTk2UmeFJT1KFepixykxgXg4yMdJlbOzV1DRAfGyl3mfjYSGjqGkh9p6VriIz0NCTGf4G2njHiYyNl1qmlayi1Tkvbaug2YhEMKloj/mskLh5dhw3z+2DcgqMor1UBAODZbzoOb56JJRObQUVVDQKBAJ2HzIO1o1uuMVE2cfnq5CgLHQPE5VG+Wjo5yldHtnw1c6xTUye7fAu6XY9+03Fky0wsnShRvoPnwUqifE/uXoRK9jVQuVbR33+kzHr+JeI9bl3Yg4ZtB6FphxEIff0IJ3YsgJpaGdRs3Fmc7lngBexbOxmpKd+gpWuEQT9vgqZ2hSLHLE9u+0FLJ/f9EBcTCYeq8vdDQvwX6OgZFzofQqEQfrsWw8rRDSYWjoVeviDiYyMAAJo567KuQa63xIuWk1f/DcTrS4z7goyMdLnrjX+cvQ8dqrqjSp120DUwQ0xkKM77rsbWJYMwctZB8dVgVRt0QAVDC2jpGiL8w0ucPbACn94/x8CfN0MRsspbO0detXUN8CKPeq+do95r6xhklncMdOT86H9y7wroVjCGfZXsKxWjI0Jx8/weNG43EM06iur90e0LoKpeBm6NOykgOtl8A5Db5+T2aICs5RTRlxWEIvqygsit7mvqGCI2332RcxkDJHyNkJteKBTizL6FsLR3g7G5/Hb88PohlCmrCedauV/pWVil/bzFsVoTuNZpCz1DM3yJ+ICzvquxedEgjJ5zMNcrQUt73A9vnEDY26fwnpX7BGhJnq8puz+XlJqajLMHlqNqPS9olNMCAFjY1oB62XI4s38ZWnadCECIM/uWQSjMQFyM/PajCLn2T7q5909xsZHQylkndPI+pvvvXQ6dCia5Tpwp2n+hP5eUGP8FF4/+jTrNehR5HTLrVGJ7d/cchuTEOKya6gmBiiqEGelo1XUCqjfwREmI/5rbMcugSMcsyfYtzEiX2SeaEue8hhVtoWtghrMHVqDDwDlQL1sOAad8EB8bgfjMtmthWwNlcrbv/aL2nbUtRSmpfVFaKGtcWhjPAy9g39/Z47GBHI8VWWkefxuZ2kDP0Axn9v+BToNnQ71sOVzz34r42MgSPW5/z1RUS/iZxfSfwMmTIhIKhQBEj+XKT+3a0i+Vunv3Lm7fvi2+0wQA0tPTkZSUhMTERAQFBaFSpUriiRMARX65e9euXeHp6YkrV64gICAA/v7+WLJkCTZu3IhBgwYhMDAQFhYW4omTnIKCgtCpk/SPRY0aNcLKlSuRnp4uvkNFXoyvXr3Czp07xd8JhUJkZGTgzZs3qFxZ+gVuCxcuxJw50s/L7zZ0JnoMm5V/kDmLQCgE8igXQY4FsspSekWyaSTL2rG6u8RfHVHJvgZW/NwW968eQaN2gwAAN07vQGjwA/SbsBZ6BmYIeX4Hx7bNhbae0b82iPu/kKMohUKhTBlKp89RdpAtX5l2K2+d+Wz3xpkdeB/8AH3Hr4WeYWb5bheVr12Vhgi6fx6vg25g9BzfvKIrOCXUc2GGEGY2VdCm+0QAgJmVC8I/vMKt83ukJk9sK9fDmHm+SIz7gtuX9mPPXxPhPWuvzIBBEWR2A/LZD3LKWrSeop0EHds2D5/eP8eI33bmn7iAHgYcw7Gt2X1d3wnrAMjmXVTkeedb3t9zxip3vRJpXOt5iP9tYuEIM2tX/DG5JV48uAiXzEcG1G7aQyqNgYkV1s/pho8hT2BmrcCXqsvkVZjPPpDf/uUtcen4Jjy4cQIjpm+VmqgXZmTA3MYV7XqI6r25tQs+h77CzXN7FDJ58uD6MRzdOlv8/34T/xblUU6fk98LRhTRl+VH4X2ZhEc3jsJvR3bd7/Vj1vs15JRjvlmW1+fJX8h/11yEh77AwCm7cl3bg2sH4Vqvg9SVfQpTSs9bquZo++Y2VbBsUis8f3Axz8eFFNi/HHdMVBhO7FyIQT9vzPNiHEWer5W2/jxLeloqDvw9CcIMITwHZOdPU0cfPUavxPFtc3Dz7HYIBCpwrecJUysXqKio5pk/hZBTJ/LaLzJ1Arkf0y8d34gHN/wwPEcfr0j/tf5cUtK3eGxf4Q1jM3s07yT/XZ3FooR+7tFNPwQGHEN376UwNndA2Lsg+O1cCO0Kxqglcd5aVA8DjuHYtvzbd+aXea5LptyEom/zTZO5XlU1dfQcsxpHtvyGxT/Wg0BFFbYuDWBfNbuv19TRR/dRK3Fi+xzcPCdq31Uz27egmO37394XpYayxqUFYFO5HkbPFY3H7lzaj71rJ2LkTI7HiqUUjr9V1dTRe+xqHNr8G34fXR8qKqqwq9IAjtWaFDY6IioETp4UkYODAwQCAYKCgtC5c+c80+Z8rFdGRgbmzJmDLl26yKTV0NCQ6GSzFWSSJjcaGhpo3bo1WrdujZkzZ2LYsGGYNWsWBg0ahHLlyuW5rLwfquTlT16MI0eOxLhx42TSVqok+9z4adOmYdIk6ZcbHg9UzzNv5bX1oKKiivgY6dn/hK/RuZ4k5JzZF6WPgoqqmvi53qI0ETJpcl4VI6lM2fIwsXBA1KcQAKKXnp05sBJ9xq2GU41mAICKlZwQ9i4I105u4eRJAYjLN2d5xUXLXHmYpcjlGxclvlKkINtNTUnC2QMr0ftHifK1dMKnd0G4enIL7Ko0xJunN/Al/D0WjK4ntZ49a8bDytENQ6dJP5M93/2ghHqupWcIYzM7qTRGprZSL74DRPXfwMQKBiZWsLSvgT+mtMXdSwfRtMOIAsVYEFn7IefVXXntB209Q5n08Tn2Q2Ec2zYfz+5fwLBft0NXv2Khl8+NU43mMLetJv5/1qMY4mMjoS1xNVZ+/ZCWrvx4NTOvcCqvXUF+3f4aJXOllCRtPWPoGpgh6vPbXNOYWlWBqqo6oj+/VcjkSW7lHZ9PvZeXXl55Xz6xGReObcCwXzbBtJL0C6S19YxgbC5d743N7PD4jmLeCeVcswUs7LLLOy2zvONylncefR2gmL6sIBTVl8njWKMFzG2ri/+fniraFwlfpfdF4tcomSszJWnpGiLhq3SciXHRcpfx3zUPLx6cx4Cfd0Anl3b87sUdRH16gy4jVhYmnHyV5vMWebT1jKFnaJpn2y8IZcX9MeQJEr5G4e9Z2Y9ey8hIx9vnd3Dz7C7M3vQA6WmpCj1fK439eXpaKvb9PRFfIkMxaIqP+K6TLPaujTFhyRkkxH2BiqoqypXXwdLxjaFnZIGSklv/lFcfry1nn+SsE1kun9iMi8c2YOgvm2X6eEX6r/XnWZK/JWDb8uEoo1EevX/8E6pqeY+5CkOZ/Zz/3mVw9xyGavVFd5pUtHRETORHXD6+QSGTJ4Vp33n9YK2la4j4rznLMkp8RXp57QoQyC1v6fWaWbti1JzDSEqMQ3paKjR19PHPvB4ws3YVp7F3bYzxi3O07wmN4WpYvPb9b+2L0kJZ49LCkBmP/dIWdy8fRFMvjscKq7SPv81tqmDsvENSbX/dnJ4wt1HgBWxEJIXvPCkifX19tG3bFn/99Zfcl6DHxMTkumytWrXw/Plz2Nvby3xUVFTg4uKCd+/e4ePH7FtcAwLyftFhmTKixymkp6fnm3cXFxdxnqtVq4bQ0FC8ePEi17RXr16V+u769etwdHQU33WSW4xPnjyRG2NWXiWVLVsWOjo6Up/8rhJTUysDM+sqePXkutT3r55cRyX7mnKXqWRfQzb942swt64iHjhY2ldHsEya3NcJAGmpKYj4+BpamY+FSU9PQ3p6KgQC6SYmUFFFRkZGnnGRSFb55iyL4CfXYZlLWVja15BTdrLlK1sHssu3INsVl6+KbPkKhaLybeI5HGPmHcboub7iDwC07zMVXYYtKPR+UEY9t3KohcgcP6xFfQqBnqFZnnkWCrN/QFAU8X54LCfPDrnXB9n00vuhIIRCIY5um4cnd89gyNQt0FfwD0ply2mJBzsGJlYwMrOHlq6RVPmkpaXg7fPbudZ9ALCwq4HXMvX2GiztawAQ7UNTOXX79dPrsLTLfb2J8V/wNTosz3ddhH94ifT0VHEfWFxqamVgbu0it7ytHGrIXcZKTnm/fHQNFjbS5X3pxCacO7IOQ37eAAtb15yrgZVjLUSGvZH6LuJTCPQM8q73BVW2nKZUeRub2UNL11CmvEOe3c7zuKOIvqwgFNWXyVNWQwv6xlbij2Fm3X/99Jo4TXpaCt6+uA2LPOqohW0NqWUA4PXTq1LLCIVC+O+ai+f3T6P/T1vzfAl84NUDMLWqAhMFPyu8NJ+3yJMY/wWx0Z+grVu8dq2suO1cGuDH349gzDxf8cfcxhXVGnhhzDxfqKioKvx8rbT151kTJ9Gf32Lg5C3iR7TJo6ldAeXK6+D10xtIiIuCc43mhQm9ULLqxMtCHNMr5dLHm+fo4y+f2ITzR/7G4Fz6eEX6r/XngOiOk63LhkJVVR19x69V+F05yuznUpO/ybRlFRVVCBU09sq1fT/NUd75tG9LO9nxSvDja7C0qwEgcx9aVZFaL5B7eWuU14amjj6iPofgY8hjONVsIZNG3L6DRO3bqZjt+9/aF6WFssalxSLMvihFUf6fx2OS/ivj76y2H/kpBB/ePIZzzZJ9vC7R94yTJ8Wwdu1apKeno27dujh48CBevnyJoKAgrF69Os/HbM2cORPbtm3D7Nmz8eTJEwQFBWHv3r347bffAACtWrWCk5MTBgwYgAcPHuDKlSv49ddf88yLlZUVBAIBjh8/joiICMTHxyMqKgotWrTAjh078PDhQ7x58wb79+/HkiVLxI/iatq0Kdzd3dG1a1ecOXMGb968wcmTJ+Hv7w8A+Omnn3Du3DnMmzcPL168wNatW7FmzRqp95vI88svvyAgIABjxoxBYGAgXr58iaNHj+LHH38szC7OV6N2A3H30kHcvXwQ4R+D4bdzIWKjwlCnRU8AwOl9K3Bg/S/i9HVa9EJM5Ef47VqE8I/BuHv5IO5e9kXj9tnvpGnYZgBePb6Oyyf+QcTH17h84h8EPw1Aw7YDxGlO7l6CN89uIToiFO+DH2D3mvFI/hYvfpSRRjktWDvXgf/epXgdJEp378ohBF47Ahe3VgrdB4qgqlkeOtWdoVNd9ENReRsL6FR3hoalqVLz1bBtjvLdJSrfus0zy3f/ChzYkF2+dZuLyvfk7uzyvXfZF43aZZdvg9YDECynfBu0GVDg7WqU04K1Ux2c2rsUb4Ju4Yuc8tXWM4KJhaPUBwB09U1RoZAne8qq5w3bDsT74Ae4eGw9oj6/xYOA47h9cT/qtewDAEhJTsTp/X/g/atAfIn8gI8hT3Bo02/4+uUTXOu0LVSMhdkPdy4dRPiHYJzI3A91M/fDqX0rsF9iP9TN2g87FyH8QzDuXDqIu5d80dgjez+IXsoZhI9vg5CeloqvX8Lx8W2Q1JXWR7fOxYPrx9Bz1FKU1dBEXEwE4mIikJqSpPAYAdGdhvVbD8CV4+sRdPcMPoe+wOGN06BeVgPV6nuJ0/n+8wvO7F8u/n/91v0R/OQarpz4BxFhr3HlxD94/TQADVoPFKdp2GYQ7l0+gHuXDyLiYzBO7s6sS817AQCSkxJwas9ivH91H18iQ/Hm2U3sWjkK5bUroHItUd2ODn+Hi0f+woc3j/AlMhQvHlzCvrUTYFrJBZUcailsPzRuPwi3Lx7A7czyPrZjEWKiwlCvpai8/feuwN51U8Xp67XoiS+RYTi+czHCPwTjdmZdaeIxWJzm0vFNOH1gNboNn48KhmbiskxOyr4IonG7AXgX/BAXjq5H5Oe3CLx+HLcu7EeDVr0VFpskgUCABm0G4PKxDXiaWd6+G6fLlPeBDb/g9P4V4v8roi8DgMT4GIS9DULEx1cAgMhPbxD2Nkj83GRF9mUF2Rd1Ww7ANb/1eHbvDMI/vMDRLdOgXkYDrvWy98WRTVNw3je77tdpOQCvn17D9ZMbEBkWjOsnN+BNUADqtcqu+/675uDRjaPoPGw5ymhoip4LHyvbjpO/xSPorj9qNO6u0NiylNbzluSkBJzcvQTvXt3Hl4gPeB10C9v/GI3yWhXg4tb6Pxl32XKaMnVXvWw5lNfSE9fjkj5fU2Z/np6ehr1/jcfHN4/RdcRSZAjTERcbgbjYCKkLHO5fOYj3wYGIDn+HB9ePYt/a8ajfZiAMTbPfgVgSmrQfiDsXs4/px3cslOnj963LrhP1WvTCl8iPOC5xTL9zyRfuEsf0S8c34vSBVeg2/HdUMDSX28eXpNLenyd/S8DWpUORkvwNPwydj+Rv8eJ9lJGR/wV4BaWsfs65ZnNcOrYezwMv4kvEBzy9cwbXTvmU2NhLbvveJDpmVa0n3b7PHshu3/Uy2/dVP1H7vur3D14HBaC+RPtu0DazfV8RtW//3QsRGx2G2s16idM8ue2PN89uIjr8PZ7dP4dty4bAuVZL2Ls2FqeRat8BR7F/7Xg0aK349l2S+yI5KQFh74IQ9i4IABATGYqwd0FS7xFKjI9B2LsgRHwMBgBEfXqDsHdBiFPgu1OUNS5NTkpA2NsghL2ViP9tdvwpyYk4c0A0HovJHI8d3vwbvkZ/QpW6HI8VN87SNv4GgMe3/EXnLOHvEXTvHHyWDkVlt5ZwqCr9wnoiUhyBUN4zmKjAwsLC8Pvvv+P48eMICwuDkZER3NzcMHHiRDRr1gwCgQCHDh2SebTXqVOnMHfuXNy/fx/q6upwdnbGsGHDMHz4cADAixcvMHToUNy6dQvW1tZYvXo12rVrJ15XSEgIbGxscP/+fdSoUQMAMG/ePKxduxafP3/GgAEDsH79esyePRunT59GcHAwUlNTYWlpie7du2P69OniR3ZFR0dj8uTJOHr0KBISEmBvb49FixbB01N0y/PBgwcxc+ZMvHz5Eqampvjxxx+lJk+sra0xYcIE8cvhs9y+fRu//vorAgICIBQKYWdnh549e2L69OkF2rf7bxTsKqGb53bhit8mxMVEwMTcAe37TIWNcx1R3v+Zhi+RHzBM4rEib57dEh3UPryCtp4x3D2HoW6LXlLrfHz7FM4eXIUv4aHQN7ZEq27jpZ73vXftJIQ8v4PEuBiU164AS/vqaNVlHIzN7cVp4mIicHr/H3j1+Bq+JcRCz9AMdZr1QMO2A/N8DFv5JpVz/VtJ0Xeviwbntst8/36bLx4Onfav5CHhcpDc72+e24WrfpsQF5tdvtZOovL1zSzfoTnK9+Tu7PJt4iG/fM8dXIUvEaGoYGyJVl3HyzzPPa/tAqLyPXNAonwNzFA7n/KdMagyev/4p9QgrqBP5FNGPQdEL4M/s/8PRH1+iwqGFmjYbqD4xaKpKcnYv24y3gc/RGL8F5TX0oO5TVU06+gNC9uqecZT1CcR3jgrsR8sHOAhsR8ObJiGmMgPGDZdej+c2CnaDzp6xmjiNQz1JPbDl4gPWPaT7KDaxrmOeD2/DpDfJrsOX4BaTX4oVP7T0gsWuFAoxMUja3Dn4j4kJcTC3K4aPPvNlHop4pZF/aFnaI4fhi0Sf/fktj/O+2bX7ZZdJojfU5Ll1vlduOa3EXGxETA2d0C73tPEdTs1JQm7V4/Bp3dBSEqMg5aeEWyc66LFD+OhayCaTI2NCsPBf35GeOhLpCQnQlffFA7VmqJZpzG53n5fVq1oV30GnN2NSydE5V3RwgGefafC1ln0jq1966fjS+QHjPx1qzj966DbOL5zET5nlndTr6Go3zK7vBdNbCX3Jc0tfxiN1l3Giv8fdP8i/Pdl1nsjCzRpNxB1mxf+x/TUQpT3hcN/4fbFvUhK+AoLu2rw6j9Dqrw3LRyACobm6DJ8ofg7RfRl964cwqFNssfl5p3GoMUPY2W+B+T3ZZKSU4t+bY5QKMTlY2tw//JefEuIhbltdbTrM1Pqxe7blvaHnoE5Og7JrvtBd/1x8fBK0b4wskTzHyZKvex9/nD5j+7pMGghqjfKfozqvct7cXrvAkxYehUa5bULlXeNMv/d85bUlCTsXDUWYW+z2r4hbCvXQ8su46BnoJgLKZR1HJO0ceEAmFZyhmff7Dpf1PO19IzS3Z9/iQzFyp/lt9FBv2yFjbPoUXxn9i9H4NVD4thrN++FBm0G5Rp7GTXFDR0Dzu7C5RPZx3Svvtl1Yv96UZ0Y8Wt2nXgdJDqmZ/fxw1BPoo9fPLFlLn38GLTqIr8/K6i0As4tlOb+/E3QLWxePFDm7wAwaelZVDAyl/m+qOdrymjvyd8ScNZ3FZ7ePYuEr9HQ1jNGtfoeaN55NNTUZJ98kJfCnq/dvbQP3xJiYWFbDR452/fizPY9VKJ938lu3/rGlmjRZQJc3OS075MbEZ/Zvtv2miZV3jfObMN1/82I/xoFbT0jVG/QCe4dR0nFemb/cgRek2jfzfJu38VRUvvizbOb2LpEtt5Wb9RZvJ77V31xZLNs3W/acQyad87/4k1VlYL1a8oYl+bWbms26owuwxeKxmPrJyM0x3isaYf8x2MqRTxd+6+Pxwr6C2hpHH8DQMDp7bhycjMSYqOgpWeImo06oVmnUfn2c93r89r5oghsw/fJFFaN01eUnQWF4+QJlVoFnTz5f6OMyZPSILfJk/93JTB2+U/4XuMu6GD8/01RJ0/+6wo6efL/pjiTJ/9lBZ08of8PBZ08+X+jyMmT/5KCTp78v+H5Gn0PCjp58v+mqJMn/3Xf6y+gnDwpmgft3JWdhf+c6v6XlZ0FhWPrISIiIiIiIiIiIiIiksDJEyIiIiIiIiIiIiIiIgmcPCEiIiIiIiIiIiIiIpLAyRMiIiIiIiIiIiIiIiIJnDwhIiIiIiIiIiIiIiKSoKbsDBARERERERERERERlRYCFd5zQLzzhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiCRw8oSIiIiIiIiIiIiIiEgCJ0+IiIiIiIiIiIiIiIgkcPKEiIiIiIiIiIiIiIhIgpqyM0BEREREREREREREVFoIVATKzgKVArzzhIiIiIiIiIiIiIiISAInT4iIiIiIiIiIiIiIiCRw8oSIiIiIiIiIiIiIiEgCJ0+IiIiIiIiIiIiIiIgkcPKEiIiIiIiIiIiIiIhIgpqyM0BEREREREREREREVFqoqAqUnQUqBXjnCRERERERERERERERkQROnhAREREREREREREREUng5AkREREREREREREREZEETp4QERERERERERERERFJ4OQJERERERERERERERGRBDVlZ4CIiIiIiIiIiIiIqLQQqAiUnQUqBXjnCRERERERERERERERkQROnhAREREREREREREREUng5AkREREREREREREREZEETp4QERERERERERERERFJ4OQJERERERERERERERGRBDVlZ4CIiIiIiIiIiIiIqLQQqPCeA+KdJ0RERERERERERERERFI4eUJERERERERERERERCSBkydEREREREREREREREQS+M4TKrXSMwTKzoJSJFwOUnYWlELTvbKys6AUXy8+U3YWlEJdTajsLChFWbUMZWdBKeKTVJWdBaXQKPN9lrea6vfZvoXfZ9gQfJ+na99tPU9LV3YOlON7feR5xvd5GPtu+zUVwffZr32vvzsA32d5f6/9OREVHbsNIiIiIiIiIiIiIiIiCbzzhIiIiIiIiIiIiIgok0Dle70zjSTxzhMiIiIiIiIiIiIiIiIJnDwhIiIiIiIiIiIiIiKSwMkTIiIiIiIiIiIiIiIiCZw8ISIiIiIiIiIiIiIiksDJEyIiIiIiIiIiIiIiIglqys4AEREREREREREREVFpIVARKDsLVArwzhMiIiIiIiIiIiIiIiIJnDwhIiIiIiIiIiIiIiKSwMkTIiIiIiIiIiIiIiIiCZw8ISIiIiIiIiIiIiIiksDJEyIiIiIiIiIiIiIiIglqys4AEREREREREREREVFpIVARKDsLVArwzhMiIiIiIiIiIiIiIiIJnDwhIiIiIiIiIiIiIiKSwMkTIiIiIiIiIiIiIiIiCZw8ISIiIiIiIiIiIiIiksDJEyIiIiIiIiIiIiIiIglqys4AEREREREREREREVFpIVDhPQfEO0+IiIiIiIiIiIiIiIikcPKEiIiIiIiIiIiIiIhIAidPiIiIiIiIiIiIiIiIJHDyhIiIiIiIiIiIiIiISAInT4iIiIiIiIiIiIiIiCSoKTsDRERERERERERERESlhYqqQNlZoFKAd54QERERERERERERERFJ4OQJERERERERERERERGRBE6eEBERERERERERERERSeDkCRERERERERERERERkQROnhAREREREREREREREUlQU3YGiIiIiIiIiIiIiIhKC4GKQNlZoFKAkyf/cQJB3g154MCB8PHx+XcyoyRCoRAXj6zB3Uv78C3hKyxsq8Gz/0wYmzvkudzTO6dw/tBqRIe/g75xJbTsMgGV3VpLpbl1fheundyE+JgIGJnbo32f6bByrC2VJuJjMM7sX4aQ57chFGbA2MwB3Uf/AT0DMwDAlkX9EfL8ttQyrnU90H3UikLFefPcLlw9uRnxMREwNrdH+z7TYO1UO9f0b57dgv/uxQj/8AraFYzRuP1Q1G3RSyrNk9uncU5iH7TqOh4uOfZBfttNTkrAmf0rEHTvHBLjY6BnaI4GrfuhboveMnkSCoXYvmIkXj66gt4//gkXt1aF2geKpt+4Nmx/GgrdWq7QMDPGna6j8fnoOaXmqTAk635S4leY21aDZ7+C1/0vEe9QwUi27oc8v43r/pvwMeQJ4mMj0HPsGlSulV1W6WmpOH9oFV4+vIQvEaEoW04Lti4N0arbJOhUMCmxeAHgxtlduOq3GXGxovro2Tf/duC3K7Md6BmjiedQ1JNoB59DX+Kc75/4EPIEMZEf4dFnKhq1Gyi1jpvnduPm+T2IifgAADA2t0fzzqPhVN29ZIKUI+Dsblw+IYrbxNweXv2mwiaPuF8H3caJXYvx+cMr6OgZw91zCOq3zI771oX9uHf1CD6FvgIAWNi4oG33CbC0qyZOc+PsHtw4vwdfMuM2sbBHy86j/tW4AVE9v3xsDe5f3oukxK8ws6mO9n1mwiifeh509xQuHVklrufNOk+Ec63sen7Nbz2e3TuNqE+voVZGAxZ2NdGy62QYVLQVp0lJSsB53+V4fv8sviXEQNfAHHVb9odbsz4KjfHmuV244rcZ8bERMDazh0cB6vXJXYsR/jGzXnvI79/P+mb37627jodL7ez4l/3UEjGRH2XWXa9lb3QYMBOAqH8/vS+7f69gaI76rfuhXkvZ/l1RlNWv5XRs60zcvbQPbXtNQ4M2A3NNV9CYLhz+C3ckzlO8BsyAST4xKeIYXZBtb1o4QM55Snv0HC06T3kTdAubF8vfByNn7oOlXdUC7Qdl1POb53bj1vk9iImU6L87jYajRD8WHxuJU/uW49Xja0hKjIO1U2149vsVhhWtCxRXYSnjOHbOdw3OH/5L6jstXUNM+/OKYoMD4PvPNNy/dljqOwvbahg5c2+uy3z+8BLnff/Ex5AniIn6iPa9p6Jh2+K1uyyf3r/AiR3zEPr6Ecpp6qJO8x5o1nG0eAyVW/0et+AEjMxsZb4vLGWU95tnt3HFbzM+hjxBXEwE+o5X/Dl3yPPbuOq3GR/firZRkPP6m2d34sa5XYiJ/ABdA1M07TASNRt1LnZeYqI+4vi2eXgddBPqZcqiWn0vtO31M9TUyojTCIVCXPPfgjsX9yEm6iM0dQxQt3kvNO0wsljbVuY49NDGqQiUaWvVMXxGdls76jMTr58GIC4mHGXKloelfU207jEZRqbFq9vKPK49uXMady7uw8eQJ0iMj8HoOb4wtaoss613r+7j7MFVCA1+CFVVNVSs5IwBP22AehmNYsWen9JyHlPcGErzeUtcTARO7V2K4CcBSE5KgKGpNdy9RsK1TltxmotH1+HFw0v49O4ZVFXV8evft4q9X77XcSgR8bFd/3lhYWHiz8qVK6GjoyP13apVq/71PKWmpv6r27vqtxEBp3zg0XcGRszcDy1dI2xbNgTJ3+JzXeb9q/vY//ckVGvQEaPmHkG1Bh2x7++JCA1+IE7z+KYf/HcthLuXN7znHIKVY23sWDECMVHZPzZFh7/DpgV9YGhqi8G/bMOoOUfQtOMoqKmXldqeW9PumLzyivjTYeCcQsX46KYfTu5ahKYdRmLUXF9YObph+4qRUnmR9CUiFNtXeMPK0Q2j5vrC3WsE/HYuwJPbp8Vp3r26j31/T0L1hh0xZu5hVG/YEXvXTsJ7iX1QkO2e3LUILx9dRbcRSzBuwQk0bDsQJ3b8jqB7spMQAae3AqVo4l5Vszy+PnyOJ+PnKjsrRXLt5EYEnPaBR78ZGD6jEHV/najcveccQfWGHbF/nXTdT03+BhNLZ3j0myF3HakpSQh7+xTuHUZj5KyD6Dn2T0R9DsHu1aMVHqOkhzf84LdzEZp2HIkxc31h7eiGrctGyv0BGACiI0KxdZk3rB3dMGauL5p2GIET2xfgsUQ7SE1JQgUjS7TtMQlauoZy16OjXxFte0zC6Dn7MXrOfti61MfOlWPxOfRlicSZ04MbJ3F8x0I07zQS4+YdhLWTG7YszSPu8FBsWeYNayc3jJt3EM06jsCx7QvwSCLu10G3UL2BJ0ZM34LRs3ZB18AUm5YMR2z0Z3EaHX0TtOsxEWPn7sfYufth51IP2/749+LOEuD/D26e2YJ2fWZiyK8HoKVriJ1/DEZyUu71PDT4Pnw3TETV+p0wfOYRVK3fCb4bJuDD6+x6/vbFLdRu3heDp+1D34lbkJGejp1/DEVKcqI4zel9CxH8+Ao6DVsK77l+qNd6EPx3z8fzwLMKi+/RTVG9btZhJEbP9YWVkxu2Lc+9f4+OCMW25d6wcnLD6Lm+aOo1Aid2yPbve9dOQo2GHTF23mHUaNgRe3L076Nm7ccvqy6LP4OmbAIAVKnTTpzGL6t/H7kE4xfm3b8rirL6NUlB984i9PVDaOsZKySmK34bcf2UDzz7/QbvWfugpWuIrUuHIvlbQq7LKOoYXdBt127aHVNWXhZ/Og3KPk+xdKgh9bcpKy/Dzb0b9AzNYW7jWqB9oKx6rqtfEW16TMKoOfsxKqv/XpXdjwmFQuxcNRbR4e/Rd/xfGD3XF7oGZtiyZIhUX6AoyjqOAaIfXKauviz+jPv9iMLjy+JQtYlUfek/aX2e6VOTRTG07p53DIWV9C0eW5cOhbaeMbxn7YNnv19x7eQWXPf3kUk7fpGfVJ4NKloVe/vKKu+U5G8wreSEDv1/K3YMuUlJ/oaKlZzg2a9g27h1fjfOHPgDLTqPwY+/H0OLzmNxfPs8PLt/oVj5yMhIx/Y/vJGS8g3Dft2BHqOW48md0/DfvUQqnd/OBbh76QDa9pqC8Qv90G/8WljYFmziNy/KHIcCgH3VJlJjzL4TpduamXUVdB66AGMXnED/nzYCEGL7sqHIyEgvVtzKPK6lJn9DJYeaaN19Up7b2rZ8BOyrNMLIWXvhPWsf6rXqC4Gg5H/+Kg3nMcVV2s9bDv7zCyI/haDvhL8wdv4RuLi1xr61k/Dx7VNxmvT0VLjWaYs6zaUvuiiq73UcSkQinDz5j6tYsaL4o6urC4FAIPXd5cuX4ebmBg0NDdja2mLOnDlIS0sTLy8QCLBx40b88MMPKF++PBwcHHD06FHx3318fKCnpye1zcOHD0vd8TJ79mzUqFEDmzdvhq2tLcqWLQuhUIjY2FiMGDECxsbG0NHRQYsWLfDgwQMoklAoxI0z29DEyxsutdvAxMIRPwxbhNTkJDy8cTzX5QJOb4NtlYZw9xoJI1NbuHuNhG3l+gg4s1Wc5vppH9R07wq3pt1hZGaH9n2mQ0e/Im6f3y1Oc+7gSjhUa4o2PX6GqZUL9I0t4Vi9GbR0DKS2p16mHLR1jcQfjfLahYrz+qmtqOXeBbWbdoexmR08+orycuv8Hrnpb13YA10DU3j0nQ5jMzvUbtodtZp0wTX/zVL7wK5KQzT1GgEjM1s09Roh2gentxVqu++DA1GjUSfYVK6LCkbmqNOsBypaOuHDm8dSeQp79wzXTm3FD0N+L1TsJSni1GW8mLUSnw6fUXZWCi2r7rt7ecPFLbPuD12E1JQkPLqZe92/cWYb7FwaoomnqO438RwJm8r1cUOi7jtUc0fLLhPg4tZG7jo0ymtjwOTNcK3bHoamtrC0qwGPvr8h7O2TXH8IU4Rr/lvh1rQL6jTrDmNzO3j2mw5d/Yq4mVs7OL8Hegam8Ow3HcbmdqjTrDtquXfBVb/sdmBhWxXte/+MavU9oaZeRu56KtdsDqfqTWFoagNDUxu06T4BZTTKSw0GStLVkz6o3bQr6jbrBmNzO3ToNw26Bqa4cU5+3DfP74WeoSk69JsGY3M71G3WDbWbdsEVvy3iNL1GL0WDVr1hZlUZxma26Dp0LoQZGXj19IY4jUut5nCu0RRGptYwMrVG28y43716WOIxZxEKhbh1bhsae3jDuVYbGJs7ouPgxUhNScLjPOr5rbNbYevSEI08RsLQ1A6NPEbC2rk+bp7Nrud9JmxC9UZdYGTuABNLZ3QYvBBfoz8i7O0TcZoPwYGo1rAzrJ3qQc/QArXce8LEwhlhIY/lbbZIrvlvhZt7F9RuJupnPfuK6vWtXMr3dla9zurfs+r1yex6ff1UZv/eIbN/7zACdi71cf1Udv+uqaMPbT0j8ed54EXoG1eCjXMdcZr3rwJRs3En2Gb1783l9++Kosx+LcvXL5/ht3Meuo5YChXV4t+gLRQKEXB6G9w7jESVzPOUrsMLdp5S3GN0YbatXkZDqj5InqeoqZWR+lt5LT08C7yAWk265HsHdBZl1XPnrP67og0MK9qgdTfp/jvqcwjeBz9Ax4GzYGFbFUamNug4cCZSkhLxMOBEgWIrDGUdxwBARVVNqhw1dfQVHl8WVTl1Ji8WtlXRrldmDGryYxAKhbjitxErfm6NOcNrYM2Mznh8+1Se630YcAxpqcnoMmwhTCwcUaV2G7h7jcS1Uz4QCoVSaTW1DaTyrKKiWqiY5VFWeTtVd0frbhNQpU7e/V1xOFZzR6uuE1CldsG2EXj9KGo364mq9Tygb2yJavU94dakK674bZRKd++KL1ZN88ScYdWxaqoHbp7bled6Xz2+hogPweg2YgnMrFxgV6Uh2vWagruX9iMp88fq8I/BuHVhD/qM/wuVa7ZABSMLmFpVhl2VhkULPpOyx6FAZv8sMcbM2dZqN+sJa6c6qGBoATPrKmjRZQJio8PEd+MVNW5lHdcAoEajTmjeaQzsXHIvv5O7FqF+q35w9xoOE3MHGFS0hmudtnn2kYpQGs5jFBFDaT9vef/qAeq36gsL22rQN7ZEs46joFFeG2Eh2ZMnLX/4EQ3bDoKJhaNC9sv3Og4lIhFOnvwfO3XqFPr164dx48bh6dOnWL9+PXx8fPD779I/Xs+ZMwc9evTAw4cP4eHhgb59+yI6OrpQ23r16hX27duHgwcPIjAwEADg6emJT58+wc/PD3fv3kWtWrXQsmXLQq87L18iQhEfGwF710bi79TUy8DKqQ7ev7qf63KhwYGwq9JI6js718Z4/0qU97S0FISFPIF9zjRVGuF9sGi9GRkZePHwIgwqWmPbsqFYMq4hNszrgaB7slckPww4hsU/1seaX71was/iPK88ySktLQUfQ55IxQgA9q6Nco3x/atA2fRVG+FDyBOkp6VmpnkAe1fpk06Hqo3wLnOdBd2ulYMbngdewNcvnyEUCvE66CYiP4fAoWpjcZqU5G/Yv24yvPr9Bm09owLHTrnLqvuS9VhNvQys86n774MDYSdTpo3xPjiwWPlJSowDBAJolNcp1npyk2t9rNoI717m0Q6qSqd3yNEOCisjIx0Pb5xASnIiKtnXKNI6CiMtLQUfQp7CIWccrg3x9mWg3GXevgqEg0zbbozQN7nHnZqchPT0NJTX1JX794yMdDwI8ENK8jdUcqhe+ECKKCZSVM9tq2T3J2rqZWDlWAehwXn08a8DYevSWOo7uypN8lwm+VscAKCcxD6wtK+FF4Hnxf1byLMbiP78Rio/xZFXP/sul3b8Tk7/7uCaf/+e1zrT0lLw4Pox1HKX/jHcytENz+5fwNdo6f7dvqpi4s9J2f1aRkYGfP+Zgkbthub7eI2CEsUUKXOeYu1cJ9fyABRzjC7Mth/cOI6FYxtg9XQv+O9ZkufVpc/uX0Bi3BfUavxDPtEj37z+m/VcXv+dlnm3tOQdwyoqqlBVU8fbl/cKFF9BKfs4FvXpLRaNc8eySa2w569JiA5/X7gACiHk2S0s+rERVv7SDoc3z0D816hir/PswVW4d+UQOgyYhR9/P4aGbQbi4PopePMs90exvHsVCGvnOlI/StlXbYS4mHCZH4/XzuqCxeObYMviwXgddLPY+VV2eZc26akpMj8OqpXRwIfXj8Sx3bm4D2cPrkSrruMxbuEJtOo2Aed8V+P+1cO5rvf9q0AYWzhAp0L2nYIOVRuL9z8APA+8gApGFngReBHLJ7fC8p9a4vDm35AYH1OsmJQ5Ds0S8uwWloxriNVT2+LIlrzbWkpyIu5f9UUFIwvo6FcsaJgylHlcK4j4r1EIff0QWjoG2DC/9//Yu+u4qs4/DuCfS0sjXdIGiGIrdndM3dzsru3nbKfbzE2dztxmdyuKXdgd2IpYIEhKd8P9/XHhBveCqOBl4/N+ve7rJcfnnPt8z3nq3OcEFk9ohs2LBiH41f0Sb+NTKXscUxr+DeOWKi518fTuaaSlJCAvLw9Pbp9Ebk42HGo0/PTAi1Fe2vMvfR5KRBJ858l/2O+//46ffvoJQ4aInpvo6OiIBQsWYPr06ZgzZ4443dChQ/Hdd6Lnly9cuBB//fUX7t69i06dOincriJZWVnYuXMnTE1FP4xfvHgRT58+RVRUFDQ1RSekf/75J44cOYKDBw9i9OjRMutnZmYiMzNTZll2lgbUNWQff1VYSmI0AECn0J0eugbGRd5CKVovRu7uEF19Y/H20pLjkZeXq3C7Kc9iAACpybHIykjD9ZMb0ab3j2j/zVS8eXoN+//+H4ZO3w776qLO271JdxiZ2EDXwARRYa9x/uByRIa8xJBpW1ASackJyMvLha6+7K2cuvrGSE6M+Yj4TJCXm4O0lHjoGZohJTEGOoW2qaNvgpT8bZb0e7sMnIWjW2dj6aRWUFFVg0AgQK9hC2BXtZ44zem9i1HF2QM16rYtUcz0YSlJisu+jr4xEou5+0N03OXXKSj7nyI7OxPnDy6De6Nu0Kqk+8nbKY64PBrIl8eUIupBckIMXNwL12FRPUhNiYf+RzySJzLkFdbP/w452ZnQ0NLGgB//gpm188cH8pEK4tYrdMz0DIzxqpj6r2dQKL2+cX7cCdBXMIF5ev9yGBiZwdmticzyyJBXWDPvO+RkZ0FDSxuDflwN8y8Qd4Gi2ngdfZNPKuepSYrLuVAoxLkDi2DrXA9m1pIr1Dp+9wtO7PgVq6e3ELdvXQf/hiouRT/f+GMUVa51DIou1ymJMdAxUFyupdt3ubpiYFLkNv3vX0BGWrLcj+FdB87CkS2zsWSSVPs+fAHspdr30qTsdu3G6Y1QUVVFo3aDPmq94hTsc0V9aXF36pVGH13S767dpBuMTEXjlPehr3Hu4ApEhrzA0CLGKfevHYSze1MYGFsWmX9pyi7nkSGvsGGBpP3uP0HSfptaOsDQxArnvFag57C5UNeshBtntiMlMQbJCZ/eLyqizH7MxqkW+o5ZDBMLe6QkxuDysXVYv6A/flx4DNp6Rp8WUBFcajWHW4OOMDSxQnx0GC54r8bWP4Zi3NxDn3zVd1ZmGm6e3YZhM7aiinMdAEBlM1u8e30fvpcPwKG64h/MUhJjYGRiLbOsoD4kJ0aLyr2hKXoOnQcre7f8ieRj2LZkGIb/tB321Roo2myJKHvcUt44uzfD/asHUaNeO1jZuSI8yA8PrnkjNzdbXKcvH1uHTt/OEN/NYmRqg+jwAPhe3o86zXop3K6ic55KOgZQVVMX7+f4qFAkxoTjme8Z9Bm1GMK8PJzauxj7/pmI4TO2fXJMyjwPBQAX9xZwa9AJBsZWSIgJxUXv1di+ZCjGzJGta3cv7sG5A38iKzMNJpaOGDx1S5F3eJWEMvu1kojPnxi+eORvdPp2OiyqVMejG0exdckw/O+3YzAuo/dZAcofx5SGf8O4pd/45di/ZjIW/dAEKqpqUNfQwnf/W43KZlU+JtQSU3Z7rqzzUCKS4OTJf9j9+/fh6+src6dJbm4uMjIykJaWBm1tbQBArVqSFwTr6OhAT08PUVFRH/VddnZ24omTgu9OSUmBsbFsh5Geno6AgAC59RctWoR582TfA9Jn+Gz0HTFXZtmTW8dxfLtk4mfAxHUAIPfYCKFQfllhiv5fUOiFHAq3m59GmJcHAKhepw08Ow4FAFhWqYGQNw/he3mfePKkfstvxOub21SFsbkd1s/ri/AgP1jZuxWbx0KZK5QXoVx+C2VeNj0KHk8gkEoit1H5bX7ge2+f24WQgMcY8OMaGJpYIejlPRzfOR96hqZwcvOE/8OLCPS/jfHzvIuLjj7gya3jOL7jw2U/f2Gx25I7xkLR0k+Rm5ONg+smQygUouugOR9e4TMVzqUQwmLjVVTGRdv5uHhNLO3xw2/eSE9Nht89HxzcMBOjZu34cgNXubZI+IE2TnH9V7TGlROb8fj2SYyetV1uwtrE0h4TfvdGRmoynvn6wGvDLIz+eXuZTaA8vX0Mp3ZJytG3/yt4dreCeD54COX3WVErndkzH1GhrzBkuuzjQe5e2ImwwEf45oe1MDC2wrtX93Bm9zzoGpjBsZjHRXw0uYL9gXKtMLbCGyp5mbl/9RBcajWXuXIXAG777EJowGMMnLgGhsb57fsOUfvu/JmPOwHKV7sWHvQMt8/txJg5h0r8KCpFHt88jmPb54r/HjhprSh/CvrSD+WvNProknx3/VaFxikW9lg3V/E4JTEuEm+e3kC/8SuKzbtCSirnJpb2+H6BNzLSkuHn64NDG2di5ExR+62qpo7vfliNw1t+we/jG0NFRRVObk1QtVbzjwyu5JTRj8m8WNa2Kqq4eGDZ1I54cP0omnUeWuLtFFa4vA+avB7ujbqI/za3qQprBzcsm9IOLx9fLvEjngqLCgtATnYmti8dKbM8Nydb/KLo1bO6ITE2AoDorrnBUzaIEsntW9n9Z2rpAFNLB/H/VnGug8TYSFw/vfWzJk8KKGvcUt606jEOKYkx2LDgW0AohI6+Meo064XrpzZDoKKK1KQ4JMZF4MiWX3B062zxenm5OdDMf4zgjmWjxXcPGBhbYsJC0WN8FLbZUk9lEwrzkJOThT6jF8PEQnSsvxq+AGvn9kV0xFuZ41+c8nQeCgA1C9U1K/uaWDG1LV49vgxXqbpWq3F3OLl6IjkxGjfPbMGBNRMx4ue9UFcv/iLFAuWxXytOQV/RoHU/1G3eGwBgZeeKwOe3cf+aNzoU866Uj1WexjGfqjwe3w999/lDq5CRloSh07dAW9cI/g8uYP8/kzBi1i5Y2JbOY7oUqbDnoRWcQIUPbCJOnvyn5eXlYd68eejdu7fc/2lpaYn/ra6uLvN/AoEAefkTAyoqKnLPBFb0QngdHR2577a0tMTly5fl0hZ+hwoAzJw5E5Mnyw5kjj6QvyKmmkdrWDtKJntyc7IA5F9pLTV7n5oUK3f1hjRdAxO5K1hSkmKhk381gbaeEVRUVOWuJEhNihVfCamtZwQVVTWYWsl2WiaWTnj3uujbgi3t3KCqqo6498ElmjzR1jNUnJfkOOgaKI5R0ZWXqUmxUFFVEz8LV5RG9mqW1GTp+D78vdlZGTh/cCW++99qVPNoBQCwsK2GyHf+uH56K5zcPPH2+W3ER4Vg4fhGMtvZ9/ePsKtaDyNm7gB92MeU/cJXs0nTNTBBSlLhYxr7SS9ozc3JhtfaSUiIDsWQ6dvK7K4TQFIeC9fb1KS4IuPVM1Rcz6XrQUmpqWnA2Fz08lgbx5oIC3yKmz470WvYvA+s+XmKijulmLgVt29xCuO+enILLh3fgJEzNsOySjW5bampacBEKu7Qt89w4+xO9B5eNnFX9WgDa0fJY8Fys0XlPDVJtpynJcXKXd0mTdfABKmFynlacpzCdc7sWYBXjy9i8LRdMo+xyM7KwKXDK/D1+L/hUqsVAMDcpjreh/jjts/mUpk8EbezCSUv15/cvhfRL8bHhCHA7xb6T1gtszw7KwPnDq5E/wlS7XuVaoh4548bp7eWyuRJeWrXgl/dR2pyLFZMayNeJszLhc/+P3D73HZMWnqxRNupXqcNbJwkMeXkx5RcOKZi+nCgdProgvg/9rut7FyhqqqOWAXjlAfXvKGta4jqdVoXuX5hyi7n0u23tUNNhL6Vbb+tHdzww4LDyEhLRm5ONnT0K2PdvH6wdviIC1xKQNn9mDQNTW2Y27gg9n3QJ28DkC/v+kbmcmn0DM1gYGKJ2PfBn/w9QqHovGTgpLVy31FwBf3gyeuRmyt6r6O6hug8R1E5KnisUXHtg41TbTy+dfyT8wuUr+NdHqhraOGrEb+jx5C5SEmKhZ6hKe5dPgBNLR1o6xohLVn0WOeeQ+fLlCkA4vfP9Bq+ANlZGQAA1fx3UukamCAkUPZdbOmpicjNzRYfY11DU6ioqoknTgDA1MoJAJAYG17iyZPydB6qiJ6hGQyMreTqmpa2HrS09WBsYQ8bp9pY/H0jvLh/Du6Nu30gYpHy1K+VRMEjoguOcQFTK0fxBGtpKU/jmE9Vno5vScYtcVHvcOfCbvzw+zGY5z9i1bJKdQS/uoe7F/agx9C5HxV/SSi7PVfWeSgRSXAK7T+sbt26ePnyJZydneU+KiWcPTU1NUVycjJSUyXPvi54p8mHvjsyMhJqampy321iIj8I0NTUhL6+vsxH0SO7NCvpwtjcTvwxtXKGroEpAvxuitPk5GQh+KUvbPNv61fExskDgVLrAECA3w3Y5j87Uk1NA5b2bjLbBYDA5zdh61RHnMbaviZiIt/KpIl9HwRDY6sivzsq7LVoQF/Cd3+oqWnASkFeAvxuFhmjrbOHXPo3z27A2t4Nqmrq+Wlq441cmpvixyGU5Htzc3OQm5stNxsvUFEVn+g27zoK3y84gvHzvcUfAOjc/yf0HrmwRPuAiin7z2XLftAHyr6tk3zZCHh2A7ZOHh+Vn4KJk9ioYAyeuhXauqX72I/CCsrjm2cKyqxL0fVAPr1sPfhUQgA5+T/slyVRO+OqMG47Fw+F69gpiPv10xuwcZCN+8rJzbhwdB2GT9sAG8eaJcqPUCgUvyOgLGhq6aKymZ34Y5JfzgOf3xCnyc3JQvArX9g4FdPGO3rIrAMAgc+vy6wjFApxZs98vHzog0FTtsPI1FYmfV5uDvJys+WuGhO1b7IXFXwqcbku3Bb7Sdriwqo4eyhou+Xbd/k+QPE2H1w7DB39yqhau6XMcnH7LpBv3wsusPhc5aldq+3ZA+PmHcXYuYfFHz1DM3h2GoFBkzd9eAPimHRkYjKzcoaugYncOCXohW+RxxgonT664FFcH/vdBeOUwu8oEwqFeHj9MDya9vyoNrQ8lPPCCn7gkqalrQcd/cqIiQxC2NtnqF6ndB81Wp76sZzsLESHB372e+gKl/eCSQtpaSnxSIqN/KzvMrNyhpqaBhJjI2S+z9jcTvz4OEMTa/GyggmWKs4eCHp5T/xjICDaf3qGZjAs9DgvaRHv/D9735Sn412eqKqpw6CyBVRUVPH0zilU9WgFFRUV6BqYQN/IHHHRIXLH2MjUBoBocq5gWcHxs3X2QFToayQnSJ6a8ObZDfH+BwA7l7rIy81BXNQ7cZqYyCAAgKFJ0edshZWn81BF0lLikRQXUYKyK5SpEx9Snvq1kjA0sYaeoRliImTP0WMigz/qeJdEeRrHfKrydHxLMm7JyhRNoBYen6pI/f5Q2spbe/6lzkOJSIKTJ/9hs2fPxo4dOzB37lz4+fnB398f+/fvxy+//FLibTRq1Aja2tqYNWsW3rx5gz179mDbtm0fXK9du3Zo0qQJevXqhbNnzyIoKAg3b97EL7/8gnv37n1GVLIEAgEatx+MayfWw//+ObwPfYUjm2ZCXVMLtaSupvHeOAPnvJaJ/27cfhAC/G7g2smNiI4IxLWTGxH4/BaatB8iTuPZYSgeXD2IB1cPITo8AKf3LkJibAQatP5WnKZp5xHwu3sa964cQOz7YNw5vwuvHl1Cgzb9AYiujLh89B+EvX2K+JhQvHp8BQfWTIRlFVdUcalb4jg9Ow7B/SuHcP/qIUSFB+DUHlFeGrbuBwDw8VqOgxtmiNM3bP0tEmLCcXrvYkSFB+D+1UN4cNUbTTsNF6dp0n4wAp7dxNWTGxEdHoirJzci4PktNOkwuMTfq1VJF/bVGuDs/qV4638X8dGheHDtMB7dOArXeu0AiK7+MbepKvMBAIPKluKTIWVR1dGGfu3q0K9dHQCg7WAD/drVoWVbsue4K5PCsr95JtQ1tODeSLbsnz8oKfuN8sv+9VOisn/91EYE+t9CY6myn5mRioh3/oh45w9A9NLuiHf+4mfN5ubm4MCaHxEe9Ax9Ri1FnjAXyYnRSE6M/qiTsY/VtJOoPN67cghRYQE4uTu/PLYRlcezB5bDa71UPWgjqgendi9GVFgA7l05hPtXvNGsi6Qe5ORkITzYH+HB/sjNyUZSfBTCg/1lrtrz8VqBoJf3EB8dhsiQV/DxWom3/nfh4VmyK/Y+V7POQ+F7+SB88+M+vmsxEmIj0KitKO4z+5dj/7qfxOkbtemH+JgInNj9B6LCAuCbv8+adxkmTnPlxGb4HFyNvqN+g5GJFZITopGcEI3MDMlE+ZkDK/D25T3E5cd91mslAv19UecLxQ2IynnDtoNx49R6vHhwDlFhr3Bsq6ic15Qq50c3T8dFb0k5b9B2MAKf38DN0xsQExGAm6c34K3/LTRqJynnZ/bMw9Pbx9Br5DJoaOkgJTEaKYnR4qtaNSvpokrVhrhwcCmCXt5BfHQIHt/wxtNbR1C9TrtSi7GgXIvb2fxy3SC/XPscWI6DUuW6QUG53iNp3+9f9UazzpJy7dlhMN4oaN89Ow6W+e68vDw8uOaNOs16ia/iLaBVSRf21RvgzP6lCPS/izgF7XtpU2a7pq1rJNdXqaiqQdfABCaWjp8VU5MOg3H1+AY8z4/Je9MsuXHKwQ0z4OO1XPx3afTRJfnuuKh3uHT0H4S9fYb46DC8enwF+/6ZBEu7GnLjlED/24iPDkXdFn0+ej8oq5wXbr/PHRS137WbSPb9s7tnRGU8KgT+Dy5g29IRqFGvLVwKvei1NCirHzu9dwnevhDV45CAx9jz14/ITE8p8j0SnyozIxVn9i3BuzcPER8dhrf+d7Fr5Xho6xnBtW57cbrC5T0nJwsRwf6ICPZHbq4ohgipGDQr6aBp52E4vXcxHl4/griodwgPfo4753cX+zLxWo27QU1NA96bZuF96Cs8v38OV09sQNOOQ8UT4zfPbsfz++cRGxmE92Gv4eO1HM/v+aBR2/6fvT+UdbwzM1LFaQDRS5jDg/2LfQ/Hx8rMSBUfMyC/TQ2WtKmFz01iIt/i0c1jiI0MQmjgE+xfMxnvQ1+jfZ9J4jSte32Payc34pbPDsREvkVkyCs8uOaNG2e2FZkP55pNYWrthIMbZiA8+DkCnt/Cmf1LUa/l1+I7oh1dm8DKzhWHN/+M8ODnCAvyw7Ftc+Dk5ilzN8rHUuZ5aGZGKs7u+wMhbx4iPiYUb1/cwZ6V46CtZ4QadUV9dFxUCK6eWI/woGdIiA1HyJuH8FozCWrqmnCpJXvBxMfGrax+DQDSUhIQEeyP6PA3AERlKyLYX/yeKoFAgGadh+P2+V145nsWse+Dcf7QKsREBKLeJ/RfH7tvlDWOKc0YyvO4xdTSAZXNq+DYtjkIDXyCuKh3uHF6KwL8bsq8XzUhNhwRwf5IjAtHnjBX3F5Jn+t8jIp6HkpEInxs139Yx44dceLECcyfPx9LliyBuro6qlevjpEjR3545XyVK1fGrl27MG3aNGzYsAHt2rXD3Llz5V74XphAIMCpU6fw888/Y/jw4YiOjoaFhQVatGgBc3P5W/o/R7MuI5GTnYETO+cjIzUR1k61MGjKZmhKPUIoMTZc5urhKi510XfsMlz0XoVLh1fDyMwWX49dDhsnyeNiajbqgrTUBFw59g+SE6NhZu2CAZPWy1ypVqNee3QbPBfXTm7A6d2/w8TCAf2+Xy1+WbqqqjoC/W/h9rkdyMpMg0FlS7jUaolWPb8X34JeEu6NuiAtJQGXj65BcmI0zK1dMGjyOnFeUhKiZW5DNjK1waDJ63B672LcubAHeoZm6DJgFtwaSJ5/W8WlDr4etwwXDq3CRe+/YGRmi2/GLYOt1D740PcCwDfjluHcwRXwWj8N6amJMDS2Qrs+E2Ummcorg3o10eTCTvHfrn/OAgCE7PDGkxEzlZWtEmvaeSSyszJwctd8pKcmwsZRQdmPC4dARarsO0vK/sXDq1HZzBZ9C5X98KBn2L5EMlg/u28xAKB20174asRiJMVH4uUj0SNs1s3tJZOnIdO3w6G67CPaSkutxqLyeOnoGiQnRMPcxgWDp6wTvww2uVA9qGxqgyFT1+Hk7sW4fWEP9A3N0HXQLNSUqgfJ8dH451fJow2vn96C66e3wKF6A4ycJXqkXEpiDLzWz0ByQjS0KunBwrYqhk7bAOeapf/DmiK1G3dGWkoCLhxZi+SEaFjYuGDo1PXiuJMSYpAgHbeZDYZNXYcTuxfj1nlR3N0HzYK7VNy3LuxFbk42dq+eKPNdbb8aj/a9fwAApCTGYv+6n8RxW1apiuHTNsDFvRTf9VECTTqNQnZ2Js7smYf01ERYO9ZG/0lboKklXc4jZK5As3Wui96jl+PykZW4fHQ1jExt0Xv0CplHgt2/vBcAsPNP2ZeDdx+6CLWbispE79HLcdF7OY5umor01EQYGFuhVa9JqNvyu1KLr6CdFZfr/HZWXK4To5EQJ1uuB09Zh1N7JO1714Hy7fs345fh/KFVuHDoL1Q2s0W/8bLtOwAE+N1CYmwE6rWQf7wnAPQbtww+XivgtS6/fTexQvu+E9GwTdm178pq18pS8y4jkZOVieM75iMjNQk2TrUwZOomaFaSPPI0MTYCKlJluLT66A99t6qqOgKf38Ytn53icUrV2i3Ruud4uXHK/auHUMW5DswKPQqlJJRVzlOSYnBwg6T9NretiiFTZdvv5IRonNr7B1ITY6FraII6TXuiVc9xHx1jSSirH0uMi8T+NVORlpwAbX0jVHGqjbFz9sm9TP1zqaio4n3oKzy6cRQZacnQNTSBY/VG6DduebHlPTk+GmvmSGK4cWYLbpzZAvtqDcSPd23b+0fo6Bvj6okNiI8OhZa2HiztXNGye9HnJFraehgybTNO7JyPdXO/hpaOPjw7DoVnp6HiNLm52Ti7fymS4t9DXUMLZtbOGDRpndzdeJ9CWcc77K0fNi+StHen9vwBAKjTrBf6jl702XEBQPhbP2z5Q/Idp/fmf0fTXug9apHcuUleXh5unNmG2Mi3UFFVg0P1Rhj1y14YmUrKYP2WX0NdoxKun96Cswf+FD9eTvrH18JUVFQxaNI6HN8xH5t+HwA1dU3UatwNnb6dLpVGBQMmrsXJXb9h86JB0NDQhkut5jJpPpWyzkML6trjmwV1zRQO1Rvi63ErxN+tpq6Bd6/u4/a5HchITYKOvjHsqtXHyJ/3FvsIqZJQZr/24uElHN48S/z3gbVTAACte36PNl+JxrCeHYcgJzsLp/cuRnpKIiyqVMPQaZvL7IXi0v4L45hyPW5RU8fgSevh47Ucu1aOR1ZGGiqbV0HvkYtk2u2L3n/h4Y0j4r8L+pjhM7bDya3hR++TinoeSkQiAmFpPXuCqJTtu1kxi6aKoGLGrdOihrKzoBRJl18oOwtKoa5WMcu5agWt3ykZJZ8s/i/R0iibxweUdzm5/+4XG38qVZWKWb8/8A7c/6yKGncpPbXvX6eivi+2oh7vPGHFrOAV9Tw0N69iHu+KOm6pqO1530YVNPDP9HZ4D2Vn4V/HYcsxZWeh1PHOEyIiIiIiIiIiIiKifNJ3iVHFxalHIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIioi9qzZo1cHBwgJaWFurVq4dr164Vm3737t2oXbs2tLW1YWlpiWHDhiE2NrbM8sfJEyIiIiIiIiIiIiIi+mL279+PiRMn4ueff8bDhw/RvHlzdO7cGe/evVOY/vr16xg8eDBGjBgBPz8/eHl5wdfXFyNHjiyzPHLyhIiIiIiIiIiIiIgon0BFwM9Hfj7W8uXLMWLECIwcORI1atTAypUrYWtri7Vr1ypMf/v2bdjb22PChAlwcHBAs2bNMGbMGNy7d+9zD3eROHlCRERERERERERERESfLDMzE0lJSTKfzMxMhWmzsrJw//59dOjQQWZ5hw4dcPPmTYXreHp6IjQ0FKdOnYJQKMT79+9x8OBBdO3atdRjKcDJEyIiIiIiIiIiIiIi+mSLFi2CgYGBzGfRokUK08bExCA3Nxfm5uYyy83NzREZGalwHU9PT+zevRv9+vWDhoYGLCwsYGhoiL/++qvUYynAyRMiIiIiIiIiIiIiIvpkM2fORGJiosxn5syZxa4jEMg+7ksoFMotK/D8+XNMmDABs2fPxv3793HmzBm8ffsWY8eOLbUYClMrsy0TEREREREREREREdF/nqamJjQ1NUuU1sTEBKqqqnJ3mURFRcndjVJg0aJFaNq0KaZNmwYAqFWrFnR0dNC8eXP89ttvsLS0/LwAFOCdJ0RERERERERERERE9EVoaGigXr16OHfunMzyc+fOwdPTU+E6aWlpUFGRnc5QVVUFILpjpSzwzhMiIiIiIiIiIiIionwCFd5zUNYmT56MQYMGoX79+mjSpAk2bNiAd+/eiR/DNXPmTISFhWHHjh0AgO7du2PUqFFYu3YtOnbsiIiICEycOBENGzaElZVVmeSRkydERERERERERERERPTF9OvXD7GxsZg/fz4iIiJQs2ZNnDp1CnZ2dgCAiIgIvHv3Tpx+6NChSE5Oxt9//40pU6bA0NAQbdq0wR9//FFmeRQIy+qeFqLPtO9mxSyaKoKKGbdOixrKzoJSJF1+oewsKIW6WsUs56oVtH6nZKgqOwtKoaWRp+wsKEVOruKX+/3XqapUzPpdxLsc//Mqatx5FbNZQ0W98LSiHu88YcWs4BX1PDQ3r2Ie74o6bqmo7XnfRhU08M/0bmxvZWfhX6fKOm9lZ6HUsfYQERERERERERERERFJ4eQJERERERERERERERGRFE6eEBERERERERERERERSeEL44mIiIiIiIiIiIiI8glUKuY7kUgW7zwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpKipuwMEBERERERERERERGVFwIV3nNAvPOEiIiIiIiIiIiIiIhIBidPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEiKmrIzQERERERERERERERUbggEys4BlQO884SIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIik8LFdVG4JhcrOgXIIKuiUZtLlF8rOglLot6qu7Cwohffs68rOglK0bW2i7CwohZpqxWzQK+pd3rZGacrOglLUTrum7CwoxdrgDsrOglI42ig7B/QlpWdWzAF6Re2/tdTzlJ0Fpaio45bsXGXnQDlycivmAc+poMebiD5dxRwFEhERERERERERERERFYGTJ0RERERERERERERERFL42C4iIiIiIiIiIiIionwClYr5eDuSxTtPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIikqCk7A0RERERERERERERE5YVAhfccEO88ISIiIiIiIiIiIiIiksHJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSoqbsDBARERERERERERERlRcCFYGys0DlAO88ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSoqbsDBARERERERERERERlRcCFd5zQLzzhIiIiIiIiIiIiIiISAYnT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIikcPKEiIiIiIiIiIiIiIhIipqyM0BEREREREREREREVF4IVATKzgKVA7zzhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIikcPKkApg7dy48PDyUnQ0iIiIiIiIiIiIion8FNWVngIo3dOhQbN++Xfx35cqV0aBBAyxZsgS1atVSYs7KD6FQiMtH/8b9KweQkZYEa8da6DpwNsysXYpd7/m9s7h4eDXio9/ByLQK2vaeiBr12sukuXtxD26e2YzkhGiYWTuj03ezYFe1vvj/UxJjcO7gnwh4dgMZ6cmwq1ofXQb8AmNze3Gae5f34+mdE4gIfo6sjFTM+PsuKmnrf3bcdy7swbVTW5CSGA0zK2d0GTAT9tXqF5n+7Yu7OL3nD0SFv4GeoRmadxmBhm2+lUnj5+uD896rERf1DpXNqqB9nx/hWl92nyTFvcfZA8vw6slV5GRnwtjCHl8N/w3WDm4AgAuH/8bTO6eQGBsJVTV1WNm7on3fibB1qv3ZMRelrMpA0Etf3DyzGeFBfkhJjEa/H/5GjbrtxP+fm5ONi4dX4fWTK4iPDoVmJV04unqiXd/J0DcyL7N4P1flZvXhOGUEDOrWhJaVGe71GY/3xy4oO1ulrkcLbbSsqwVtLRUEhmVj95kUhEfnFpm+bnUNdG2qDbPKqlBVEeB9XC58bqfh1tPML5jrogmFQlw5JlvOuwwoWTm/dERSztv0nogadSXlPPilL26elSrn3/+N6lLlHACObP4Jj28ekVlm7VgbI3/eX2rxlZSy6vuXdPv8Hlw/tQXJiaK+p2sJ2vdTe/5AVFh++951BBpJte/vQ1/jgvdfCAvyQ0JMOLr0/wlNOw2R2cadC3tx5+I+JESHAQDMrJ3Rutd4VKvdomyCLKGLpw/g7JEdSIiPgbWtI74dMRVVXesqTJsQF40D21YgKMAfURHv0Lbrt/huxDSZNFd8vHHr8gmEvQsAANg51UDvAT/AsWrNMo/lc3idu4adJy8iJiEJjtYWmDKoN+pUd/rgeo9eBmLMb3/BycYSexZN/wI5/TxCoRAPL/yDl74HkJmeBFPbWvDs8SuMzIuu3/HvX+PB+b8QE+aHlIRwNOr6E2o2lS3f/rf3wv/uPqTEi8q3oZkz6rQZD9tqX758K6N+Xzm+AX73ziE6IhDq6lqo4lIHHftNgamlQ5nFKRQKcenIP7h35QDSU5Ng41gL3Qb/CvMPtNV+vj64cFgyFm3X50e4Fhqf37mwB9dPb0FK/vi8c3/JPszNycZ571V49eQq4qNCoaWtC0fXJujw9RToG5mJt+F7+QCe3BKNzzMzUjHrnzuopPP543NFhEIhrh7/Gw+v7kdGWhKsHGqjc//ZMP3AvvC/fxZXjq4S91utek1Cdan++8ap9XjxwAexkYFQ09CCjVMdtO0zFcYWjjLbiYkIwIVDS/HulS+EeXkwtXJB7zErYWBsVSbxFlBmf33pyF94dvcUkuJE5yOWdm5o23sibMrwfAQAbp3fi6snRfXb3NoZ3Qb+BIdi6negvy9O7vkD78PeQN/QDC26DkfjtpL6ffeSFx5cP4rI0DcAABsHV3T8eiJsnSS/A9w+vw+3L+5DfH7/bW7jjLa9xn3R/vvWub24cmoLkhNEcXcf+BMcqhcf94ndkrhbdpON+84lLzy4dhTv8+O2dnBFp29k487NzcF573/w8OYJJCfEQN/QFPVa9EKbnmOholI21wiX1/PvzIxU+BxYDv8HF5CWkgAjE2s0bj8Qjdp+V/o7IV9FrN+Acs/H5o2ornDb7b6ehqadRnx+cKSQQEWg7CxQOcA7T/4FOnXqhIiICERERODChQtQU1NDt27dlJ2tcuPG6U245bMNXQb+ilG/ekHXwBQ7/hyOzPSUItcJefMQXusmo7ZnD4yddxS1PXvAa90khAY8Fqd5dvcUzuxdhObdxmLs3MOo4lIfu1aMRkJsOABRx7nv7+8RHx2K7yaswdg53jA0tsKOP4cjKzNNvJ3srAw412yO5l3HlFrMT++cwqndi9Gq+xiMn+8Nu2r1sGPZGHHeCouLDsWOZWNhV60exs/3Rstuo3Fy10L4+fqI07x78xD710yGh2cP/LDgCDw8e2DfmskIkdon6amJ2PB7f6ioqmHIlA2YsPAEOn87HVraeuI0Jhb26DboF/zv96MY9fMuGJlYY9vSkUhNiiu1+AsrqzKQnZkOc9vq6DLwV4XbyM7KQETwc7ToPh5j5hxCvx/+Quz7IOxdPb7UYyxNqjraSHryEn4/zld2VspMZ89K6NC4EnafScFvm+ORlJqHKQMMoKVR9OAnNV2IE9fTsHBrAuZsiMONxxkY1kMPbo7qXzDnRROX8wG/YtQvXtDVN8XOZR8u5wfXT0atJj0wdu5R1GrSAwfXTUJooKScZ2Wlw9ymOroMUFzOCzjXbI4py6+JPwN+XF9qsX0MZdX3L+XJbVH73rLHGHw/3xv2Veth+59jkBBTdPu+/c+xsK9aD9/P90bL7qNxcudCPJNq37OzMmBkaouO30yGroGJwu3oV7ZAx28mY/w8L4yf5wVH18bYvfIHvA99XSZxlsTd62exb8uf6Np3BOYs2wMX1zpYueB/iI2OUJg+JycbuvpG6NZ3BGzsqypM89LvPho274RpCzZg1uJtqGxigeXzxiM+NqosQ/ksPrceYNnOwxjeswN2/z4Ndao7YcKSdYiMKb5fTUlLx5x1u9DATfG+KI+eXN2EZze2oUn3X9Bj/AFU0jXBmS0jkJWZWuQ6OdkZ0Ktsi/odJ6OSnuLyrWNggQYdJ6Pn917o+b0XrJwa4/yuHxD//suWb2XV77cvfNG4XX+Mnb0Pw2ZsRl5uDrYtGSEzXi1t105tws2z29B14C8YO+cAdA1MsH3pCGSmF30s3715iANrRW319/OPoLZnD+wvNBZ9eucUTu9ZjJbdx2DcfG/YVa2HncslY+CCsVmrHuMwbt4hfPfDasRGBmH3KtmxWXZmOlzcm6NFt9Ibnxfl1pmNuHNuKzr1n43hPx+EroEJdq8YhsyMovut0ICH8N4wCe6Ne2LU7KNwb9wT3hsmIkyq/w5+dRf1Ww/AsJkHMGDSVuTl5mL3CtnjGhf1Dtv/6A8TC0cMmroTo+YcQ7Nu46GmrlmmMQPK7a+NLezRZcCvGDf/GIbP3A1DE2vsXD6iTM9HHt8+jRO7FqF1zzGYsOAQ7KvVw9alxdTvqFBs/XMs7KvVw4QFh9Cqx2gc37kQT6Xqd6D/XdRu0hWjZ23F+Dl7YGBsic1LRiEx7r04jX5lc3T6ZhJ+mO+FH+Z7wcm1EXas+HL99+Pbp3F81yK06TEGE34Txb1l6RjEFxP3loK4fzuE1j1G49iOhXh6VzZujyZdMfrnrRg/dw8MjS2x6Q/ZuK+c2ITbF/aj5+BfMGXJCXT+bgqunNyCmz67yyTO8nz+fWrPYrx+eh19xyzBj4tOwrPjEJzc9Tv8H5TdxXEVrX4XUOb5mPR52JTl19Bj2O+AQADXeh1KNUYiksfJk38BTU1NWFhYwMLCAh4eHpgxYwZCQkIQHR0NAJgxYwaqVq0KbW1tODo64tdff0V2dnaR2/P19UX79u1hYmICAwMDtGzZEg8ePJBJIxAIsGnTJnz11VfQ1taGi4sLjh07JpPGz88PXbt2hb6+PvT09NC8eXMEBASI/3/r1q2oUaMGtLS0UL16daxZs6YU94qIUCjE7XM70KLbWLjW6wBzm6r4asRiZGdl4OmdE0Wud/vcDji5eqJ51zEwtXRE865j4FCjMW6fk9zlc+vsNtRt3gf1WnwNUysndO4/CwaVLXDv0l4AQOz7IIQGPEa3QXNg7eAOE0tHdB00B1kZqXh656R4O006DEHzrqNL9UqIG2e2o16L3qjf6muYWTmh6wBR3u5e2Kcwve/FfTA0tkTXAbNgZuWE+q2+Rt0WvXH99BZxmptnd8DJzRMtu4+GqZUjWnYfDSfXxrh5doc4zdWTm2BQ2RJ9Ri2EjVMtGJlaw8mtCYzNq4jT1G7SDc5unqhsZgtzGxd07v8TMtNTEBnystTil1aWZcClVgu07T2xyAGJlrYeBk/dgpoNO8PE0hG2Th7oMuAXRAT7FTmQLg+iz17FqzkrEXnknLKzUmbaNayEk9fT8OBFFsKic7H5aDI01AVoVLPoHwteBmfj4cssRMTkIjo+D+fvpiP0fQ5cqih/8kQoFOLO+R1o3nUsatTrADObquhVgnJ+57yknJtIlfM70uXcvYXo6qcPDLxV1TSga2Aq/lTSNSyt8EpMmfX9S7lxZjvqteyNBq2+hpm1E7oOFLXvdy4qbt/vFrTvA2fBzNoJDQra91OS9t3G0R2dv5uGWo27Qk1dQ+F2atRpjWq1W8LE0gEmlg7o8PVEaGhpy5zAf2k+x3ajedteaNH+K1jZOuK7EdNQ2dgcl88cVJjexMwK/UdOg2frbtDW1lWYZvSk39Gm8zeo4lANljYOGDr+VwiFQvg/uVuWoXyW3acvo2erxujVugkc8u86MTc2wsHzN4pd7/fN+9HJsx7cXey/TEY/k1AohN/NHajdagzsa3ZAZYuqaPn1YuRkZyDwUdH129TGHQ07T4NT7a5QVVVcvqvUaA3bai1hYOIAAxMH1O8wEWoa2ogK+bLlW1n1e+i0jajb/CuY27jAskp19Bm1EAmxEQh761cmcQqFQtzy2YEW3cfArb6ore4zajGyMzPw5HbRx/KWT/5YtFv+WLTbaDjWaIxbPpKx6M2z21G3RW/UbykaA3cZMAv6lS1wN38famnrYei0LXBv2Bmmlg6wdfZA14G/IDxIdmzm2XEIWnQbVaZ3RgOifXH3wg406zIW1et2gJl1VfQY9geyszLwrJh+6+757XB09UTTLmNgYumEpl3GwL56Y9w5L+m3+k/cjNpNe8PU2gXmttXRfdgiJMWFIyJYclwvH1kBJ/cWaNt3OiyquMLI1BYutVpBR9+4zONWZn9dq3F3OOWfj5hZu6Djt6LzkfehZXM+AgDXT29D/ZZ90LBVX5hZO6H7wJkwMLbE7SLOz+5c3A9DE0t0HzgTZtZOaNiqL+q37I1rp7aK03w7fimatPsOVnY1YGbliD4j5kOYl4c3z2+L07jWbY3qHi1hamkPU0t7dMzvv9+9eVJmsUq7dnobGrTqg4at+8Lc2gk9BhUf9+2L+2FobIkeg2bC3NoJDVuL4r4qFfd345eiSXupuEfmx+0niTv49WO41muDGnVaorKpNWo17Iiq7k0R+vZZmcRZns+/Q948Qp1mPeFYoyGMTK3RoPU3sLCthrAy2hcVsX4Dyj8fkz4P0zUwxcuHF+FQrRGMTG1LNU4iksfJk3+ZlJQU7N69G87OzjA2Fg169fT0sG3bNjx//hyrVq3Cxo0bsWLFiiK3kZycjCFDhuDatWu4ffs2XFxc0KVLFyQnJ8ukmzdvHr755hs8efIEXbp0wYABAxAXJ5rNDwsLQ4sWLaClpYWLFy/i/v37GD58OHJycgAAGzduxM8//4zff/8d/v7+WLhwIX799VeZR5CVhvjoUKQkRsPJral4mZq6BuyrNUDIm4dFrhcS8AhONZvKLHOu2QwhAY8AADk5WQgP9pPZLgA4uTUVbzc3Jyv/+yQ/xqqoqEJVTQPvXt//rLiKk5OThfAgPzjL5b8p3hUR87s3j+TSu9RsirAgP+TmiCbaQt48hnNNz2K3+eLhJVjbu2Hv3xOx6Iem+OfX3vC9fKDYvN67dABa2nqwqKL4NtPPVVZl4FNlpCUDAgG0SuHRbPRpTAxVYKinCr9AySRyTq5ocsTJpuQTITXs1WFhrIZXwUVPRn8pCTFFl/PQgOLLuaNcO9YMIW8efXQegl7exdKJnvhrVkcc2/YrUpNiP3obn6u81ffSVmT77t4U714rji/kzSM4uxdq391l2/ePlZeXiye3TyIrMw1VnD0+aRufKyc7G8EB/nDzaCyz3NWjCd68KL0fvDOzMpCbmwMd3fLZZmfn5ODF2xA0dq8ms7yxezU8ef22yPWOXbmNsKgYjOrdqayzWGqS40ORnhwDaxdJeVZV04CFQwO8f1d0/f5YeXm5CHh8EjlZaTCz9Si17X5IeanfAJCRLhrza+safPI2iiNqq2NkYlVT14B99QZFjlUBxWNRF3fJWLS4MXBxfUBmejIEShqbFfTfjm7NxMvU1DVgV7X4/js08BEcXZvJLHNya17sOpn5x7WSjui4CvPy8ObJZRib22PPihFYPrkJtiz8Gi8fnv+ckEqkPPXXOTlZuH9lPzQr6cHctmzOR3JyshAW9BwuhetrTU8Ev36kcJ3gN4/gIlfemyH0bdH1OztT1Gdp6yiuu3l5uXh86xSyMtNRxaXsH2GUk5OFsLfP4VLomFUtJu53rx+haqG4q5Y0bqk2y75qXQT43UZ0RBAAIDz4BYJePkD1MnhcWXk//7arWg8vHl5CUtx7CIVCBPrfQcz7IDi7y7YhpaWi1e8C5eF8rEBKYgxeP72COs37fPI2iKjk+M6Tf4ETJ05AV1d0BWVqaiosLS1x4sQJ8bM8f/nlF3Fae3t7TJkyBfv378f06Yqfbd2mTRuZv9evXw8jIyNcuXJF5nFgQ4cOxXffiZ6TuXDhQvz111+4e/cuOnXqhH/++QcGBgbYt28f1NVFP0ZWrSp5LMSCBQuwbNky9O7dGwDg4OCA58+fY/369RgyRPY5zACQmZmJzEzZ9wpkZ2lAXaP4W8pTkkR33xS+ekpH3xiJxVz5n5IYo3CdlETR9tKS4yHMy4WOgaI0MQAAEwtHGBhb4fzB5eg+ZB7UNSvh1tltSEmMRkpCdLH5/hxpyQnIy8uVezSDjoEkb4WlJMbIxaJrYIK83BykpcRDz9AMKYkxctvUNTCR2WZ8dAjuXtoHz45D0bL7aIQGPsXJXQuhpqaBOs16idO9eHQJB9ZMRXZWOnQNTDF02mbo6Bl9ZuSKlVUZ+BTZ2Zk4f3AZ3Bt1g1YlxVc9U9kz0BW1jUkpeTLLk1LzYGygWuy6lTQF+HOiMdRUAaEQ2HUqBc/fKn/ypKBc6n5COS+8jq6+sbjelJSzewu41u8EQ2MrxMeE4tKR1di+dChGzz5U5JXOZaE81feyUFT7rqtfdPuenBADF3fF7XtqSjz0Dc0UrqdIZMgrrJ//HXKyM6GhpY0BP/4FM2vnjw+kFCTn7wt9Q9nYDAwr41lC6U3cHdqxGkaVTeFau1GpbbM0JSSnIjcvD5UNZH/0rWygh5jEZIXrvIuMwt/7jmPj7B+hplp8m1eepCeLynglXdnyX0nXGCkJn383Z1zkKxxf9x1yczKhrqGNdgP/gpH5lyvfyq7fBYRCIU7t+QN2VevB3KZsHulWEI+uvnysxd2ZK2qrC41v9SVjUfE+VLDd5CL2YXZWJny8lsO9sXLGZgX9jHwfZPJJ/VZqEf23UCjEuQOLYOtcD2bWouOamhyLrMw03Dy9Ea16TUSbPlMR4HcNXmt/wKApO2BXreHnhFas8tBfv3x0CQfXT0F2Vjr0DEwxeOqWMjsfKSibeoXyrmdgjFfFnJ/pFTo/09M3zq/fCdA3NJVb5/T+5TAwMoOzWxOZ5ZEhr7Bm3nfIyc6ChpY2Bv24GuZfoP+WtGuF2yljJCcU0a4lxihMn5ebg9TkBOgblSzuVt1HIiM9Gcumd4VARRXCvFx0/PpHeHh2LYXIZJX38++uA2fhyJbZWDKpFVRU1SAQCNBr+ALYV633+cEriq2C1e8Cyj4fk/b45hFoaOp88MkBRFQ6OHnyL9C6dWusXbsWABAXF4c1a9agc+fOuHv3Luzs7HDw4EGsXLkSb968QUpKCnJycqCvX/SVVVFRUZg9ezYuXryI9+/fIzc3F2lpaXj37p1MOukX0uvo6EBPTw9RUaJngj969AjNmzcXT5xIi46ORkhICEaMGIFRo0aJl+fk5MDAQPFVMosWLcK8efNklvUeNht9R8yVWfbk1nEc3zFH/PeAiesAiB4zJkfRMun/RqH/F4qWfjBN/nZV1dTR7/vVOLr1F/zxv0YQqKjC0bUJnN2/0Mv5CocnFBYbc+FYhEKhgg3Jp5Het8I8Iawc3NDh60kAACs7V0SFvcHdi/tkJk8cazTC9wu8kZYcD98rXtj3zySMnbNfbtDwKb50GSip3JxsHFw3GUKhEF0HzfnwClRqGtXUxOCukuf+rtqbCCD/cEoRQFRNipORKcS8DXHQ1BCghoMG+nXQQXRCLl5+4btPntw+jhNS5bz/j6JyXrhMC4Xyy+QUXke08KPyU7NhF/G/zWyqwsq+JlZOb4vXTy6X6aC9vNb3sibXvOMD7Xvh/xMWHOWPi8/E0h4//OaN9NRk+N3zwcENMzFq1g6lTaAoUrhf+hynD2/DnetnMX3Bhg9erKFsig6xor2Qm5eHX/7ZgdF9OsPO8uN/WP+S3jw6jhtH5or/7jBYNNaVH94IFSz9eAYm9vjqf97ITE9GkJ8PrnrNRJdRO77oBAqgvPpd4PiOBYgMeYnRv5TeewEe3zyOY9vniv8eOCn/WMpl/cPHUlG8crEq2K6i/ZGbk40Da6dAKMxD98Gzi/3e0vL09jGc2iXpt779X8H7wQr3xUVUYhmKxu6KVzqzZz6iQl9hyPQ9UulFF5FU9WiLRu2HAgAsqtRAaMAD3L+yr1QnT8pjf+1QoxHGzj2MtJR4PLjiBa+1EzHylwOlcj5SJLlx2of6LAXlQm6pyJUTm/H49kmMnrVdrs8ysbTHhN+9kZGajGe+PvDaMAujf97+RSZQAEXHufi4FaUXLZdPe/nEZjy6dRJjfpaN+/Ht03h44wS+Hb8U5jbOiAh+geO7FkHf0Az1WvT6tEA+pJyef9/22YXQgMcYOHENDI2tEPTyHo7vmA89Q1M4u8ne2fIpKmr9Lm/nY9IeXj8E98bdvsj7q4iIkyf/Cjo6OnB2lgx86tWrBwMDA2zcuBHdunXDt99+i3nz5qFjx47iu0GWLVtW5PaGDh2K6OhorFy5EnZ2dtDU1ESTJk2QlZUlk67wxIhAIEBenmgQXqlSpSK3X5Bm48aNaNRI9kpO1SKugJw5cyYmT54ss+zIffmrmat5tIa1o2RSp+DRWSmJMdCTuvouNSm22I5T18AEKUmyV4mkJseKr/zQ1jOCQEVV7kqS1GTZ7VrZ18S4eUeQkZaM3Jxs6OhXxsYF38DKvmaR3/25tPUMoaKiipRCV/OkJsUVGXPhK1hE6WOhoqoG7fz3FojSRMulkb46RNfQBGZWTjJpTC0dZV58BwAamtowNreDsbkdbJ09sGJ6R9y/cggtu4/+qFgV+VJl4GPk5mTDa+0kJESHYsj0bbzr5At7/CoL88IkLwhUUxMNRA10VZAodfeJno4KklLz5NaXJgQQFS9KE/I+HZYmqujSVBsvgxNLP+PFqFa7NWzmSMp5ThHlPC25BOVcQd0vfNXux9IzNIOhsRVi3wd/1nY+pDzW97JU0L4XvoK6uPZdz9BELn1Kofa9pNTUNGBsbgcAsHGsibDAp7jpsxO9hs37wJqlTy9/XyQVusskKTEe+gaVP3v7Z47swMmDWzB13jrYFvFy+fLAUE8HqioqiE1Iklken5QMYwM9ufRp6Rl4HhiCl0FhWLr9EAAgTyiEUChEo0GT8PdP48rNC+Sr1GgDM1v5+p2WEgNtfUn9zkiNQyXdz/8xRFVNA/rGovJtalMTMaFP4XdzJ5p99WXKt7LrNwAc3/EbXjy8hJE/74RBZYuPXr8o1eu0gY2TfJ+VXLitTo6Tu+JcmsKxaHKs+Opt8RhYbnwuv93cnGzsXzMJ8TGhGD5j6xcbm1X1aANrR8njknKzRfsiNalQ/50UK3eXjTRdAxOkFuq30pLjFK5zZs8CvHp8EYOn7YK+1HHV1jWCiqoaTCxlx+4mFk4IeVO6jxguj/21zPmIkwdW/9QRD68dRPOuYz56Wx9SVP1O+cD5maL0iur31ZNbcOn4BoycsRmWVWQf4wiI+m8Tqf479O0z3Di7E72Hl237Jo670HlpSmLRdV3PwERhekVxXzm5BZeObcCon+TjPrX3T7TqPhIeTUQX+FjaVkV8TDguHd9Y6pMn5fn8OzsrA+cOrkT/CatRzaMVAMCiSjVEvPPHjdNbS2XypKLW7/J6Phb86h5iI9+i79iiH9VPpUiFb7sgvvPkX0kgEEBFRQXp6em4ceMG7Ozs8PPPP6N+/fpwcXFBcHDxP2Zdu3YNEyZMQJcuXeDm5gZNTU3ExCi+3bQotWrVwrVr1xS+mN7c3BzW1tYIDAyEs7OzzMfBwUHh9jQ1NaGvry/zUXQVqGYlXXEnaWxuB1MrZ+gamCLg+U1xmpycLAS99IWtc50i82/r5IEAv5syywKe3YCtkwcA0QDUys5NZrsAEOB3U+F2tbT1oKNfGbHvgxAe9AzV6rSRS1Na1NQ0YGXvhjeF8v/G7yaqFBFzFWcP+fTPbsDa3g2qaqJJMlvn2nL75M0z2W3audRFTGSQTJrYyCAYmlgVm2ehUDLY+FxfqgyUVMHESWxUMAZP3Qpt3bK9XZjkZWQJERWfJ/6ER+ciITkXrg6SCWBVFaCanToCQj/uDhIBADUlPPVGs5IuKpvbiT8F5TxQqpzn5pdzG6fiy3lgoXYs0O8GbD/zPRZpKfFIjIuAnoJHSpSm8lbfy5q4fX+moC12URyfrbOHgvSy7funEgLIyS6dtvtjqamrw86pBvwe35FZ/vzxbThX/7znuJ85vB0nvDZh0uy/Ye/s+lnbKmvqamqo7mCLO89kX4J65+lL1HKRH1PpVNLCvsUzsHvhNPGnT1tP2FmaYffCaajpZPelsv5BGpo60De2E38MzZxRSc8E4W9k27nIt74wr1J0/f5UQiGQl/vlyrcy67dQKMSxHQvgd/8chv+0FZVNbT4+gGJoVtKRaavNrJyha2Ai0+7m5GQh6IVvkWNVQDQWlR+vSsaiBftQrj0vND4vmDiJfR+MYdO2fNGxmaaWLiqb2Yk/JuL++4ZU/rIQ/Kr4/tvG0UNmHQAIfH5dZh2hUIgze+bj5UMfDJqyXe6lwapqGrCyd0fse9n3I8W9D4KBsfXnhCnn39BfCyEssz5NTU0D1vauCuu3nYuHwnXsFNTv109vwMZBtn5fObkZF46uw/BpG2DjWLIL9IRCIXIUnKeXNjU1DVg7uOJ14TiKibuKi4eC9AriPrEZF46sw/DpiuPOzkqHQCD7c5aKior4jqvSVJ7Pv3Nzc5Cbmy23LwQqquKLWj9XRa3f5fV87OG1g7C0c4NFGb/jhYgkOHnyL5CZmYnIyEhERkbC398f//vf/5CSkoLu3bvD2dkZ7969w759+xAQEIDVq1fj8OHDxW7P2dkZO3fuhL+/P+7cuYMBAwYUeyeJIj/88AOSkpLw7bff4t69e3j9+jV27tyJly9FJ/dz587FokWLsGrVKrx69QpPnz7F1q1bsXz58k/eD4oIBAI0bj8Y106sh//9c3gf+gpHNs+EuoYW3BtJ3t/ivXEGzh+U3I3TqP0gBPjdwPVTGxEdEYjrpzYi0P8WGreXvI+lSceheHD1IB5cO4To8ACc2bsIiXERqN/qW3EaP98zePviDuKiQvDi4QXs+HM4qtdtC+eakpezJSdGI+KdP+KiRI9Fiwp9hYh3/khLSfjkuJt2GoL7Vw7h/tVDiAoPwKndi5AYG4EGbfoBAHwOLMfB9TPE6Ru0+RYJMeE4tWcxosIDcP/qIdy/6o1mnYeL03h2GIw3z27i6smNiA4PxNWTGxHw/BY8Ow6WpOk4BCEBj3H5+HrEvg/G41sn4HvZC43a9gcAZGWmwcdrBULePEJ8TBjCg/xwePMvSIqPRM0GHT853uKUZRnIzEhFxDt/RLzzByB6SVzEO3/x87pzc3NwYM2PCA96hj6jliJPmIvkxGgkJ0aX2mRRWVDV0YZ+7erQry0acGk72EC/dnVo2VoqOWel5/zddHRtpo061TRgbaqK4T31kJUtxJ1nkncrjeiph95tdMR/d2laCa4O6jAxVIGFsSo6NKqEJrW0cPtppqKv+KIEAgEatRuMayfXw//BOUSFvsKRLfLl/PCmGTh/SKqct5OU8xipct5IqpxnZaQi8p0/IvPLeXxMKCLf+Yuf3ZuVkQqf/X8g5M1DJMSEIujFHexdPQ7aekaoXqfdF9oDIsqs719KQft+78ohRIUF4GR++94wv30/e2A5vKTa94YF7fvuxYgKC8C9K4dw/4o3mnWRtO85OVkID/ZHeLA/cnOykRQfhfBgf5k7h3y8ViDo5T3ER4chMuQVfLxW4q3/XXh4Svbrl9ahxwBcO38Y184fQXhIIPZt+RNxMZFo2VH0csxDO//CplW/yqzz7u1LvHv7EhkZaUhOSsC7ty8RHhIo/v/Th7fh8J41GPrDHJiYWSExPgaJ8THISE/7orF9jAGdW+HIpds4evk23oZFYtlOb0TGxqNPW9HLR//edxyz1+4CIPrhyNnWSuZjpK8HTXV1ONtaoZJW+X28g0AggJvnYDy+vAFBfucQF/kKVw/Ogpq6Fhw9JOXwitcM+J6VjCdzc7IQG+6P2HB/5OVmIy0pCrHh/kiKlZTve2dXIPLtPSTHhyEu8hXu+axE5Nu7cKr9Zcu3sur3se3z8fjmcfQbtxSaWjpITohGckI0srMyyiROgUCAJh0G4+rxDXie31Z7b5oFdU0t1Gos2ecHN8yAj5fkWDZpPxgBCsaiTTrIjkVlxsB78vdha9E+zM3Nwb5/JiIsyA99xyxFXl6uOF7psVlyQjQigv0RGyXaT+9DXyEi+PPG50Xti4ZtB+PGqfV48eAcosJe4dhWUb9VU6rfOrp5Oi56S/qtBm0HI/D5Ddw8vQExEQG4eXoD3vrfQqN2kn7rzJ55eHr7GHqNXAYNLR3RexcTZY9r4w4j8Nz3NB5cPYC4qGD4XtyFV08uoV6r70o1TkVxK6u/zspMw/lDyxES8AgJMWEID/bD0a2/ICkuEm4NOpVZzM06D4Xv5YPwza/fx3ctRkJsBBq1FZXNM/uXY/+6nySxtumH+JgInNj9B6LCAuCb3zY07zJMnObKic3wObgafUf9BiMTK3FZzsxIFac5c2AF3r68h7j8/vus10oE+vuizhfqv5tLxf1eKu7G+XGfLhR34zb9EB8bgeO7/sD7/Lh9Lx9CC6m4L5/YjLMHV+PrUb+hchFx16jTGheProf/wyuIiw7DM9/zuHZ6O9zql83YtLyef2tV0oV99QY4s38pAv3vIi46FA+uHcajG0fhWq9s9kVFrN8FcSvrfKxAZnoKnt87i7otvi7TWIlIFh/b9S9w5swZWFqKftTU09ND9erV4eXlhVatWgEAJk2ahB9++AGZmZno2rUrfv31V8ydO7fI7W3ZsgWjR49GnTp1UKVKFSxcuBBTp079qDwZGxvj4sWLmDZtGlq2bAlVVVV4eHigaVPRifzIkSOhra2NpUuXYvr06dDR0YG7uzsmTpz4KbugWE07j0R2VgZO7pqP9NRE2DjWwqApm6EpdXt+Ylw4BCqSZ0pWca6LvmOX4aL3Klw8vBqVzWzRd+xy2DhJrmat2bAL0lIScOXYP0hJjIaZtQsGTFwPQxPJlVrJCVE4u28xUpJioWdoitpNeqJFj3Ey+bt3aR+uHPtH/PfWxQMBAD2HL0SdZr0/KWb3RqK8XTq6BskJ0TC3dsGgyetglJ+35MRoJMRFiNNXNrXB4CnrcGrPYty5sAd6hmboOnAW3BpI3lVQxaUOvhm/DOcPrcKFQ3+hspkt+o1fBlupfWLj6I7+E1bjnNcKXD66BkYmNugy4Cd4eHYHAAgEqoiJCMSe60eQlhIPbV1DWDu4Y+SsXTC3cfmkWEuirMpAeNAzbF8iGdSc3bcYAFC7aS98NWIxkuIj8fLRRQDAurm9ZPI0ZPp2OFQvny8gNqhXE00u7BT/7frnLABAyA5vPBkxU1nZKlWnb6ZDXU2AgZ11oVNJBYFh2Vi+OxEZWZKXnlTWV5F5B4qmuii9kb4qsnOEiIjJxaYjyfB9rvzJE0BUznOyM3BKupxPVlDOpZ6pa+tcF33HLMPFw6tw6Uh+OR+zHDaOhcr5Ukk599mfX849e6HXiMUQqKgiKuwVHt86ioy0ZOgZmMK+ekP0HbtC5ru/FGXV9y+lVuNC7buNCwZPkWrfE6KRGCvbvg+Zug4ndy/G7Qt7oG9ohq6DZqGmVPueHB+Nf36V9DfXT2/B9dNb4FC9AUbO2gFA9AgCr/UzkJwQDa1KerCwrYqh0zbAuWbTLxS5vIbNOiIlORHHD2xEYnwMrKs44cdfVsPETHS1ZUJ8DOKiI2XWmTdZ8oNgcIA/7lw9DWNTSyzZcBIAcOm0F3JysrF2yTSZ9Xr0G42e344t44g+TYcmdZGYkopNh88iJiERTjaWWDVtDCxNRY8vi0lIQmRsvJJzWTpqtRiJ3OxM3Dw2H1npSTC1qYWOwzZBQ1My0Z2SECFzhW1acjSO/C0p30+vbcHTa1tg4dAAXUeJynd6SgyueM1AWnI0NLT0UNmiKjoO3QBrly9bvpVVv+9e3AcA2LRQ0sYBQJ9RC1G3+VdlEmvzLiORk5WJ4zvmIyM1CTZOtTBk6iZoVpIcy8TYCKhIHcsqLnXw9bhluHBoFS56/wUjM1t8M052LFowBr58dA2SEyVj4ILxeVLce7x4KBqbrZktG9vwGdvhUEP0ng/fS/tx6ahkfL550SAAwFcjSn+fNOk0CtnZmTizZx7SUxNh7Vgb/SdtgaaWdL8lW65tneui9+jluHxkJS4fXQ0jU1v0Hr1C5pFg9y/vBQDs/HOQzPd1H7oItZuKykT1uu3RZeBc3Di9AT77foOxuQP6jluNKi71SzVGRZTVXwtUVBET8RaPb0xAWko8KumIzkeGz9wNM+uyOx+p3bgz0lIScOHIWiQnRMPCxgVDp64X1++khBgkSNdvMxsMm7oOJ3Yvxq3zovrdfdAsuEvV71sX9iI3Jxu7V0+U+a62X41H+94/AABSEmOxf91P4v7bskpVDJ+2AS7un/+4ppKo3bgz0pITcOHwWiTlxz1s2nqpdi0GCTGycQ+fug7Hd+XHbWSGHoNnwb2hJO7b50Vx7yoUd7uvxqN9H1HcPQf/jLMHV+PItvlISYqDvpEZGrX5Bm2/kj0XLy3l9fwbAPqNWwYfrxXwWjcN6amJMDSxQvu+E9GwjeSiz9JW0eq3dNzKOB8r8OzuSQghRM2GXcsyTCIqRCAUfuj1uUTKsfdGxSyaaqoVM+6c3PL54uaypt+qYt5u6z37urKzoBRtW5evd2x8KaX0fu9/HXW1itmeW+ilKzsLSlE77Zqys6AUa4M7fDjRf5Bj6T756l+jlJ4C86+TmV0xH9hQUc9LtNQrZkGvqOO17Ap6HlpRz78r6i+g/ZtVzOP9uaJ+HqrsLPzrmP2+TdlZKHUVcxRIRERERERERERERERUBD62i4iIiIiIiIiIiIgon6Ci3pJHMnjnCRERERERERERERERkRROnhAREREREREREREREUnh5AkREREREREREREREZEUTp4QERERERERERERERFJ4eQJERERERERERERERGRFDVlZ4CIiIiIiIiIiIiIqLwQqPCeA+KdJ0RERERERERERERERDI4eUJERERERERERERERCSFkydERERERERERERERERSOHlCREREREREREREREQkhZMnREREREREREREREREUtSUnQEiIiIiIiIiIiIiovJCoCJQdhaoHOCdJ0RERERERERERERERFI4eUJERERERERERERERCSFkydERERERERERERERERSOHlCREREREREREREREQkhZMnREREREREREREREREUtSUnQEiIiIiIiIiIiIionJDhfccEO88ISIiIiIiIiIiIiIiksHJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSoqbsDBARERERERERERERlRcCFYGys0DlAO88ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSoqbsDBARERERERERERERlRcCAe85IN55QkREREREREREREREJIN3nlC5paYqVHYWlEIgUHYOlENdrWIeb+/Z15WdBaXoPb+ZsrOgFKnt/JWdBaVQ4aUaFcrr9zrKzoJShGh0VHYWlMLBumL23xlZFXPApqaq7Bwoh65WrrKzoBQ5eRWznGfnVsy4M7Iq5oBNQ71i9mMV9XeHivo7E1BBDzhRKaiYvSMREREREREREREREVEROHlCREREREREREREREQkhZMnREREREREREREREREUvjOEyIiIiIiIiIiIiKiAip8VwzxzhMiIiIiIiIiIiIiIiIZnDwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIilqys4AEREREREREREREVF5IVDhPQfEO0+IiIiIiIiIiIiIiIhkcPKEiIiIiIiIiIiIiIhICidPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKSoKTsDRERERERERERERETlhUBFoOwsUDnAO0+IiIiIiIiIiIiIiIikcPKEiIiIiIiIiIiIiIhICidPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKSoKTsDRERERERERERERETlhoD3HBDvPCEiIiIiIiIiIiIiIpLByRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIikqKm7AwQEREREREREREREZUXAhWBsrNA5QDvPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwskTJbhx4wbc3d2hrq6OXr16ffHvFwgEOHLkyBf/XiIiIiIiIiIiIiKif4P/zAvjhw4diu3bt2PRokX46aefxMuPHDmCr776CkKhsMzzcOLECfz555+4f/8+cnNz4ebmhu+//x5Dhw6VSTd58mR4eHjg9OnT0NXVRVBQEBwcHMT/b2hoCHd3dyxYsAAtW7Ys83x/rlatWsHDwwMrV65UyvffubAH105tQUpiNMysnNFlwEzYV6tfZPq3L+7i9J4/EBX+BnqGZmjeZQQatvlWJo2frw/Oe69GXNQ7VDargvZ9foRr/fbi//9zSlskxITLbbtR2+/QffBs5OZk4/yhVXj15CriokKhpa0LJ9cm6PDNFOgbmZVe8FJun9+D66e2IDkxGmbWzuhagv1was8fiArL3w9dR6CR1H54H/oaF7z/QliQHxJiwtGl/09o2mmIzDauHN8Av3vnEB0RCHV1LVRxqYOO/abA1NKh8NeVGWXEfefCXty5uA8J0WEAADNrZ7TuNR7VarcomyA/U48W2mhZVwvaWioIDMvG7jMpCI/OLTJ93eoa6NpUG2aVVaGqIsD7uFz43E7DraeZXzDXpa9ys/pwnDICBnVrQsvKDPf6jMf7YxeUnS2F7lzYg+untyAlQVSuO/f/cLk+sze/XBuZoVlnxe3ahcOSdq1dnx/hWk/Srt29uBd3L+5DQoykXLfqOR5Va4nKdW5ONs57i9q1+Px2zdG1CTp8XXrtWmnXZwB45uuD84ek2vO+P8JNqj3PTE/F+UOr8Pz+eaQkxcHKrga6DpwFG0d3me1EhQXg7IFlePvCF0JhHsytnfHt9ytgaGJVKrFLU0a7Ju3K8Q3w8VoBzw6D0HXgrFKN7UOEQiGun/gbj6/vR0ZaEizta6PDd7NhauVS7HovHpzFtWOrkBDzDoYmVdCi5yRUq9NeYdpbZ9bjypHlqN9mMNp987N4eVZGKi4fXobXj88jPTUBBsbWqNd6EOq27F+qMZaEUCjE5aN/4/6VA8hIS4K1Yy10HTgbZtbF74fn987i4uHViI9+ByPTKmjbeyJqSNXzoJe+uHlmM8KD/JCSGI1+P/yNGnXblXU4Cilj/JaZnorz3qL6npoUB0u7Gug6QL6+lzWhUIirx/7Gg6v5x9ehFjoN+PDx9b9/FpePSI5v668monpdSXzXT63HiwfnEBsRCDUNLdg41UHbvlNgYuEIQNSOXzqyCm+eXkFCdCg0K+nCwdUTbftMhp6heanHWFCG01OTYONYC10HlbwMFxzDwmUYAO5e3IMbpzcjJSEaptbO6Nx/FuyqSsrOnGHVFW67/TfT0KzzCMTHhGLlNMXl/pvxK+HWoNNHRlu0W+f34upJUXtubu2MbgN/gkMx5TzQ3xcn9/yB92FvoG9ohhZdh6NxW0k5v3vJCw+uH0Vk6BsAgI2DKzp+PRG2TrUUbu/SsQ0467USTTsOQveBM0strsKUUZ8BICnuPc4eWIZXT64iJzsTxhb2+Gr4b7B2cAMAXDj8N57eOYXE2EioqqnDyt4V7ftOhK1T7VKJWygU4tKRf3BPqpx3G/wrzD9Qzj80JgOKHwuWdEzme/kAntw6gYjg58jMSMWsf+6gko5+qcRemFAoxLXjf+PhNVH/beVQG536l6D/vn8WV46tErdrLXtNQnWp/vv+5T14cGUvEmJF41NTKxc06zoezu6S30muHvsLz31PIiledJwtqrihVa9JsHYsneMsHWN5bdfSUhJw6chfCPC7gaS4SGjrGqF63bZo89WP0NLW+/zgC1Hmvji86Sc8unFEZh0bx9oY9ev+UosPUE67dueC/PlY657jUVXqd4bMjFT4HFgO/wcXkJaSACMTazRuPxCN2n5XqvETkcR/6s4TLS0t/PHHH4iPj//i3/3XX3+hZ8+e8PT0xJ07d/DkyRN8++23GDt2LKZOnSqTNiAgAG3atIGNjQ0MDQ3Fy8+fP4+IiAhcuXIF+vr66NKlC96+favw+7Kzs8synH+Np3dO4dTuxWjVfQzGz/eGXbV62LFsDBJi5Sc2ACAuOhQ7lo2FXbV6GD/fGy27jcbJXQvh5+sjTvPuzUPsXzMZHp498MOCI/Dw7IF9ayYjJOCxOM24OV6Yseqq+DN0+mYAEJ9sZWdlIDz4OVr1GIfx8w+h//9WI+Z9EHatHF8m++HJbdF+aNljDL6f7w37qvWw/c8xCid4CvbD9j/Hwr5qPXw/3xstu4/GyZ0L8UxqP2RnZcDI1BYdv5kMXQMThdt5+8IXjdv1x9jZ+zBsxmbk5eZg25IRyMpMK5M4C1NW3PqVLdDxm8kYP88L4+d5wdG1MXav/AHvQ1+XSZyfo7NnJXRoXAm7z6Tgt83xSErNw5QBBtDSEBS5Tmq6ECeup2Hh1gTM2RCHG48zMKyHHtwc1b9gzkufqo42kp68hN+P85WdlWI9vXMKp/csRsvuYzBuvjfsqtbDzuVFt2vx0aHYuXws7KrWw7j53mjRbTRO7ZZv1w6snYzanj3w/fwjqO3ZA/sLtWv6Rhbo8PVkjJ3rhbFzveBQozH2rPoB78NE5To7KwMR+e3auHmH8N0PqxEbGYTdq0qnXSuL+vzu9UPs/2cy6jTtgf/9dgR1mvbAvn9k4z68+Re88buJvmP+wISFR+Fcsym2/DEciXHvxWli37/Dht8GwNTSASNnbsf/fjuCVj3HQU1Ds1RiL+v9UJJ2rUBo4FP4XjoAC9tqpRpXSd3x2QjfC1vR/tvZGPLTQegamGD/qmHIzEgpcp2wwIc4umkSajbuieG/HEXNxj1xdONEhL99LJc2IugJHl3bD1Nr+fgueC1C4PNr6DZsKUbOOYUGbYfi3P7f8OrR+VKNsSRunN6EWz7b0GXgrxj1qxd0DUyx48/hyEwvej+EvHkIr3Wiej523lHU9uwBr3WTECpV3rMz02FuWx1dBv76JcIokrLGb4e3/IKAZzfRd/Qf+N/vovq+dclwJEnV9y/h5plNuH1uGzr1/xUjfvGCjoEpdi8fXmw5Dw14iEPrJ8O9SQ+MnnMU7k164ND6SQgLlMT37qUvGrTuj2Gz9mPA5C0Q5uVgz/KR4nFZdlYGIoOfo3m38Rg5+xC+Hv8X4t4HYf9fpT8+vX5qE26d3YYuA37F6NkfUYbXTkatJj0wbv5R1GrSAwfWypbhZ3dO4cyeRWjRbSzGzjsMu6r1sWv5aJmyM3XlNZlPr+G/QyAQwLVeBwCAQWVLuTSte/0PGpracHZvXmr74PHt0zixaxFa9xyDCQsOwb5aPWxdWkx7HhWKrX+OhX21epiw4BBa9RiN4zsX4qlUOQ/0v4vaTbpi9KytGD9nDwyMLbF5ySiZPqtASOBT3L3kVebtubLqc3pqIjb83h8qqmoYMmUDJiw8gc7fTpf5odjEwh7dBv2C//1+FKN+3gUjE2tsWzoSqUlxpRL7tVObcPPsNnQd+AvGzjkAXQMTbF86ApnpqUWuU5Ix2YfGgiUdk2VnpsPFvTladBtTKvEW59bZjbhzfis6fjcbw2YdhK6+CfasKL7/Dg14CO+Nov575K+i/vvw+oky7ZqekQVa956K4T8fwvCfD8GuWmN4rfke0eGS867K5vbo+N1sjJpzHIOn74GBiTX2rhyO1OTSOc4FynO7lpwQheSEKHTsNx3jFxxDrxGL8ObpNRzd+rNcnv7t+wIAnN2by+yPAZPWl2p8ymrXDCpboMM3kzFunhfGFfzOsEr2d4ZTexbj9dPr6DtmCX5cdBKeHYfg5K7f4f+gfF4U+K+nosLPx37+g/5TUbVr1w4WFhZYtGiRwv+fO3cuPDw8ZJatXLkS9vb24r+HDh2KXr16YeHChTA3N4ehoSHmzZuHnJwcTJs2DZUrV4aNjQ22bNkiXickJARTpkzBxIkTsXDhQri6usLZ2RlTpkzB0qVLsWzZMty5cwdBQUEQCASIjY3F8OHDIRAIsG3bNvF2jI2NYWFhgVq1amH9+vVIS0uDj4+osRUIBFi3bh169uwJHR0d/PbbbwCAtWvXwsnJCRoaGqhWrRp27twpE9/r16/RokULaGlpwdXVFefOnZP5/8uXL0MgECAhIUG87NGjRxAIBAgKChIvu3HjBlq2bAltbW0YGRmhY8eOiI+Px9ChQ3HlyhWsWrUKAoFAvF58fDwGDBgAU1NTVKpUCS4uLti6deuHDuFHu3FmO+q16I36rb6GmZUTug6YBYPKFrh7YZ/C9L4X98HQ2BJdB8yCmZUT6rf6GnVb9Mb105LjefPsDji5eaJl99EwtXJEy+6j4eTaGDfP7hCn0dGvDD1DU/Hn5aPLqGxWBQ7VGwAAtLT1MGz6Frg36gxTSwfYOnug28BfEB7kV2SH+9n7oWVvNGj1NcysndB1oGg/3LmoeD/cLdgPA2fBzNoJDQr2wynJfrBxdEfn76ahVuOuUFPXULidodM2om7zr2Bu4wLLKtXRZ9RCJMRGIOytX6nHqIiy4q5RpzWq1W4JE0sHmFg6oMPXE6GhpS0z8Ckv2jWshJPX0/DgRRbConOx+WgyNNQFaFSz6B99XwZn4+HLLETE5CI6Pg/n76Yj9H0OXKr8uydPos9exas5KxF55NyHEyvRzbPbUbdFb9RvKWrXugyYBf3KFrhbVLm+tA8GxpboUtCutfwadZv3xo0zknJ9yye/XeuW3651Gw3HGo1xy0fSrlWv0xpVa7eEiYUDTCwc0L6vqFyHvhGVay1tPQydtgXuDSXtWtdSbNfKoj7fPLsDTjWLbs+zszLgd+8cOvabCofqDWBsboe2vX+AkakN7l7cK97OuYMrUa12C3T6dhqs7F1R2cwW1T1aQVff+LPj/hL7oSTtGiC6ku3A2mnoNXx+mV2ZWhyhUAjfCzvg2XksqtXpAFPrqug65A9kZ2Xg+d0TRa7ne2E7HGp4okmnMTC2cEKTTmNgV70xfC9sl0mXlZGKY1umofPA36ClbSC3nbC3j+DeuBfsqjWCoYkNPJr3g5lNdUS+e1bqsRZHKBTi9rkdaNFtLFzrdYC5TVV8NWIxsrMy8PRO0fvh9rkdcHL1RPOuY2Bq6YjmXcfAoUZj3D4n2Q8utVqgbe+J4h9blEUZ47fsrAw8L1zfvxLV9ztS9b2sCYVC3D2/A826jkWNeh1gZl0VPYeLju+zYo7vnXM74OjqiWZdxsDE0hHNuoyBQ/XGuHNecnz7T9qE2k17w8zaBRa21dF92CIkxoUjIlg0LtPS1sPAKVvg1qAzTCwcYePkgU7f/YKIYD8kluL4tKAMN+82Fq7188vwyMXIzszAk9tFx3jLZwcc3TzRopuoDLfoNkbUV0mV4Zs+21CnRR/Ua/k1TK2c0Lm/qI/0lTqGegamMp8XDy/CvnojVDazBQCoqKjKpfF/cB5uDTtDU0un1PbD9dPbUL9lHzRs1Rdm1k7oPnAmDIwtcbuIcn7n4n4Ymlii+8CZMLN2QsNWfVG/ZW9cOyU5h/p2/FI0afcdrOxqwMzKEX1GzIcwLw9vnt+W2VZmRir2r52O3iPmlXl7rqzzsasnN8GgsiX6jFoIG6daMDK1hpNbExibVxGnqd2kG5zdPFHZzBbmNi7o3P8nZKanIDLk5WfHLRQKcctnB1p0HwO3/HLeZ1TJyvmHxmQfGguWdEzm2XEIWnQbVWp32hSloF1r2mUsqtcVtWvdh4n6b79i2rW7+f13085jYGLphKadx8C+RmPcleq/q9ZuA2f3ljA2d4CxuQNafzUJGpraCAt8JE5Ts1F3OLh6wsjUFqZWLmj/9UxkZqQgKvTzj7N0jOW5XTO3qYpvf/gL1TzaoLJZFTi6NkbbPpPw8tEl5ObmlNp+KA/7AgDU1DRk9oe2rmGpxqisdq16we8Mhc7HpH9nCHnzCHWa9YRjjYYwMrVGg9bfwMK2GsLeftnxKlFF8p+aPFFVVcXChQvx119/ITQ09JO3c/HiRYSHh+Pq1atYvnw55s6di27dusHIyAh37tzB2LFjMXbsWISEhAAADh48iOzsbLk7TABgzJgx0NXVxd69e2Fra4uIiAjo6+tj5cqViIiIQL9+/RTmQVtbG4DsHSZz5sxBz5498fTpUwwfPhyHDx/Gjz/+iClTpuDZs2cYM2YMhg0bhkuXLgEA8vLy0Lt3b6iqquL27dtYt24dZsyY8dH749GjR2jbti3c3Nxw69YtXL9+Hd27d0dubi5WrVqFJk2aYNSoUYiIiEBERARsbW3x66+/4vnz5zh9+jT8/f2xdu1amJgUf7Xrx8rJyUJ4kB+cazaVWe5csynevXmocJ13bx7JpXep2RRhQX7IzRHt65A3j+Fc07PE28zJycLjm8dRt0VvCARFX82fkZ4MgUAALe3SPYEpcj+4N8W714rzHPLmEZzdC+0Hd9n98Cky0pMBANq68j9KlbbyEndeXi6e3D6JrMw0VHH2+KRtlBUTQxUY6qnCL1ASW06uaHLEyabkEyE17NVhYayGV8G8462sFdeuhRTRBoUoaNec3T/crrm4F92uSZdr22LKdWYptWtlVZ/fvXkMF0Vx528zLzcXeXm5UFeXnUxUV9dE8KsHojR5eXj5+AqMLeyxdclILPy+KdbO7Yfn90v/bgRlt2vHty9ANY+WcmXlS0mMCUVqUjTsazQTL1NT14CtSwOEBSqOHwDCAx/JrAMADq7N5dbx2TcfTjVbwr6G4vhsnOri9ZOLSI5/D6FQiOCXtxH//i0cXJspTF9W4qNDkZIYDSc3yXFVU9eAfbUGRbYDABAS8AhOcm1HM4QEPCqrrH4SZY3fCuq7mqL6/vrBZ8X0MRJiRMfXsdDxtavWAKHFHN/QwEdwdJXdB45uzRD65lGR62SmicZllXSKHpdlpCcDpTw+LSjD0sesIMbiynBowCOZcg8ATjWbISQ/xpycLEQE+cG5cBq3pggJULzdlMQYvHpyBXWb9ynye8ODniHynX+xaT5WTk4WwoKew6Vw+1zTE8GvHylcJ/jNIwV9VjOEvi26Pc/OzEBubg60Cx3jo9t/Q7XaLeW2V9qUeT724uElWNu7Ye/fE7Hoh6b459fe8L18oNi83rt0AFraerCoovgRSB9DVM5j5Mq5ffUGRcYOfHhM9iljQaD0xmSfIiG//3Z0le2/q1RtgNBi+u+wgEcy6wCAo2tzhBZRn/PycuF39ySys9Jg7VhHYZrcnCw8vLYfmpX0YG5Tendd/dvaNQDISEuGppYuVFVL92n95WFfBL24iyUTPLH6p444uvVXpCTFfmZUEuXld6aifmewq1oPLx5eQlKcaLwa6H8HMe+D4Oz+ZcerRBXJf+adJwW++uoreHh4YM6cOdi8efMnbaNy5cpYvXo1VFRUUK1aNSxZsgRpaWmYNUv03O+ZM2di8eLFuHHjBr799lu8evUKBgYGsLS0lNuWhoYGHB0d8erVK6iqqsLCwgICgQAGBgawsLBQ+P2pqamYOXMmVFVVZd550r9/fwwfPlzm76FDh2L8eNHtuZMnT8bt27fx559/onXr1jh//jz8/f0RFBQEGxsbAMDChQvRuXPnj9ofS5YsQf369bFmzRrxMjc3N5kYtbW1ZeJ59+4d6tSpg/r1Rc+ElL67R5HMzExkZsq+TyE7Sx3qxTwSJS05AXl5uXKPINExMEZKYozCdVISY6BjIHulsK6BCfJyc5CWEg89QzOkJMbIbVPXwKTIbfrfv4CMtGTUbfZVkXnNzsqEz4HlqNW4G7Qq6RaZ7lMUtR909YveD8kJMXBxV7wfUlPioW/48e8vEAqFOLXnD9hVrQdzm6ofvf7HUnbckSGvsH7+d8jJzoSGljYG/PgXzKydPz6QMmSgK5ofT0rJk1melJoHYwPVYtetpCnAnxONoaYKCIXArlMpeP6WkydlTVyu9eXLdXIx7VrhOyB09eXbNZ1C29TRl2/XIkNeYeNv+eVaUxv9/1d0uc7OyoSP13K4l0K7Vlb1WbRvCm/TRLwvNSvpoIqzBy4dXQtTKyfoGhjjya2TCA18AmNzOwBAalIssjLScPXEJrTvOwEd+03B6yfXsWf1BIyYuQ0O1Rt+VuzSlNmuPbl9EuHBzzFurtenZb4UpCRFAwB0CpVnHX0TJMUVfVV8SlKMgnWMkZq/PQB47nsS7989x5CZB4vcTvt+v+D0rl/xz8wWUFFRg0BFgM4Df4Otc9HPty4LRe8H42LvDhDVc/l1UhKji1hDOZQ1ftOspANbZw9cOlZ0ff8SCo5H4Xa7RMe30D7QMTAWl5fChEIhfA4shq1LPZhZKx6X5WRn4uKhZajZsBs0S3F8WhBj4fKoa2Bc5COrROsp6s8kZTgtOR55ebkKt5vyTHHZeXTjCDS1dFCjftF3Wz24egimVk6o4lK36KA+UkE51yuUVz0DY7wqppzrFTrGevrG+e15AvQNTeXWOb1/OQyMzODs1kS87PGtUwgLeo4f5hU9kVBalHk+Fh8dgruX9sGz41C07D4aoYFPcXLXQqipaaBOs17idC8eXcKBNVORnZUOXQNTDJ22GTp6Rp8ZOcR5UTRmK+6O3A+NyT5lLFiaY7JPkVpc/13cvihB/w0AUaEvse2Pb8Xj077j/oGplez49PWTSzi8cbL4OPeftAXaepU/JyzZvP7L2rW0lHhcOb4W9Vspvlj3cyh7X7i4t4Bbg04wMLZCQkwoLnqvxvYlQzFmzqFi77AuKWX/zhQZ8gobFkh+Z+g/QfZ8rOvAWTiyZTaWTGoFFVU1CAQC9Bq+APZV631G1ERUnP/c5AkA/PHHH2jTpg2mTJnySeu7ublBReo5bebm5qhZs6b4b1VVVRgbGyMqKqpE2xMKhcXekVDA09MTKioqSEtLg6WlJbZt2wZ3d8kLLAsmIgr4+/tj9OjRMsuaNm2KVatWif+/SpUq4okTAGjSpAk+1qNHj/D1119/1Drjxo1Dnz598ODBA3To0AG9evWCp2fRVz4tWrQI8+bNk1nWd8RsfDNyzoe/rPCuFQqBYva3oNAKQqFQwYbk0xR1DO9fPQSXWs2LfGFybk42DqydAqEwD92HzC4yX59LbjfgA/uh8P/l74fC+6ekju9YgMiQlxj9y+5PWv9TKStuE0t7/PCbN9JTk+F3zwcHN8zEqFk7lDqB0qimJgZ3lTznedXeRACAsFA6AcRhFykjU4h5G+KgqSFADQcN9Ougg+iEXLzk3SdfhlwxFRZfRguVayHk2zVFZb/wNk0s7TF+vjcy0kTl+tCmmRjxk3y5lmnXBpdeu1Ym9VnBvpFer++YP+C96Wf88WNLqKiowtLeFbWadEN40PP8TYq2WaNuGzTtNBQAYGVXA+/ePMTdi/tLdfJEnOVCf5d1u5YQG4ETuxZh2PRNxV60UNr87hzDmT2Sfv7r70XPqy4qnuIoXke0LCkuAucP/I5+P26Ru+tA2r2LOxH+9hH6jF8Lg8pWCHl9Dz5750HXwKzIu1VKw5Nbx3F8h2Q/DJi4DoCCmEQLi92W3DEXipaWS0oYv/Ud/QcOb/4ZSybm13c7V9Rq3A3hwc8/IYCSeXr7OE7ulBzf7yasU5hXCD9cZz/m+J7ZswBRoS8xdMYehf+fm5ONQ+snQygUosvAEoy3i/Hk1nEc3/7hMiw6xB+IUcH/F45b4XaL2A8Prx2Ce+NucncYFsjOysDT2yfQose4YvP1yeTy+qHzQsX9uaI1rpzYjMe3T2L0rO3itjshNgLHdy3C8Okbv2h7roz6LMwTwsrBDR2+ngQAsLJzRVTYG9y9uE9m8sSxRiN8v8Abacnx8L3ihX3/TMLYOfs/+tGbj28ex7Htc8V/D5y0VpRLBWO2D7W7JRmTlXQsWFZjsuI8u3MMp3ZJ6ny/HwreN6GgL/5AFyRfH+T3n7GFA0b+egQZaUl4+cAHx7fOwMCpu2QmUOyqNcLIX48gPSUeD68dgPf6iRg200vuh/iS+je3axnpKdi9YixMrZzQquf3xeatJMrbvqjZqIv43+Y2VWFlXxMrprbFq8eX4VrMhNJHU9LvTCaW9vh+Qf75mK8PDm2ciZEzJedjt312ITTgMQZOXANDYysEvbyH4zvmQ8/QFM5uyrl7nOi/7j85edKiRQt07NgRs2bNwtChQ8XLVVRUpBowEUUvXldXl32cjUAgULgsL090NXfVqlWRmJiI8PBwWFlZyaTLyspCYGAg2rRp88F879+/H66urjA0NISxsXwnr6Mj/wxe+Y5F0vgWjlVR+oJJIum0hfdJpUqVPpj3wjp37ozg4GCcPHkS58+fR9u2bfH999/jzz//VJh+5syZmDx5ssyyE4+Kf6yQtp4hVFRUkZIgO1OfmhRX5GBY0cx+alIsVFTVxM/JFKWJlkujaOAVHxOGAL9b6D9htcLvy83Jxr5/JiE+OhTDf9paJlcCFeyHwlciFbcf9AxN5NKnFNoPH+P4jt/w4uEljPx5JwwqK76jqrQpO241NQ3xlao2jjURFvgUN312oteweR9Ys+w8fpWFeWGSFyOqqYnqu4GuChKl7j7R01FBUmqe3PrShACi4kVpQt6nw9JEFV2aauNlcGLpZ5zExO1a4XKdHAddg1Ju15Jj5a6Qki7X1g41Efb2KW6d24meQyXlOjcnG/vXTEJ8TCiGzyiddq2s6nNR7bn0No3Nq2DUzzuRlZmGjPQU6BuaYd/fk2Bkai3Jm6oazKydZLZjauUofrRXaVFWuxYe5IfUpFismd1XvCwvLxdBL+/h9vk9mLflMVRUir9b7VM4126D4Q6S57Dn5GQByL8y0UByQUJqcqzcVbrSdBXcRZWaHCdeJ/KdH9KSY7FtYW/x/wvzchHyxhf3L+/GtL+fIjcnG1eOrkDvsX/D2b0VAMDMpjreh/rjzrnNZTp5Us2jNawda4n/zpXaD3pSdw4VLruF6RqYICWp8H6IlbvKUdmUOX4zNq+CkbNE9T0zPQV6hmbY94+kvpeFqh6tYe0gOb7icp5U6PgmKx5rFihqHxS+Oh0QTZy8enQRg6fvgr6CcZlo4mQSEmJCMWjqts++6+RjyvCHYlTUnunkl2FtPSPFfWSSfH8GAMGv7iEm8i2+HreiyO98fu8ssrMy4OHZq+gAP0FR7XnKB8q5ovSK2vOrJ7fg0vENGDljMyyrSB5NFPbWDylJsfh7tuTCt4L2/Na5Pfht66NSbc+VWZ91DU1gZlWob7Z0lHlBMwBoaGrD2NwOxuZ2sHX2wIrpHXH/yiG07C57EeKHVK/TBjZO8nU5uXA5L2bMVmRsUmOyjxkLlsWYrCRcarfBSKn+u6DOpyps1z6y/06Kk1tHVU0Dlc1E41Mre3eEBz2F74Ud6DJovjiNhqa2KI2ZHawdPbDmlw54dOMgmnYe80kx/lvbtcz0FOxaNhIaWtr49n9/Q1Xt899ZWV73RQE9QzMYGFsh9n1wyYMqhrJ/Zyp8Phb6VvI7Q3ZWBs4dXIn+E1ajmkcrAIBFlWqIeOePG6e3cvKEqIz8p955Im3x4sU4fvw4bt68KV5mamqKyMhImYmCR48effZ39enTB2pqali2bJnc/61btw6pqan47rvvPrgdW1tbODk5KZw4UaRGjRq4fv26zLKbN2+iRo0aAABXV1e8e/cO4eGSWydv3bolk97UVHT7d0REhHhZ4X1Sq1YtXLhwoch8aGhoIDc3V265qakphg4dil27dmHlypXYsGFDkdvQ1NSEvr6+zOdDV0upqWnAyt4Nb/xuyix/43cTVZwVPwO1irOHfPpnN2Bt7yYeWNg610aAXBrF23xw7TB09Cujau2Wcv9XMHES+z4Yw6Zvgbbu598eroh4PzxTkGcXxfvB1tlDQXrZ/VASQqEQx3YsgN/9cxj+01ZUNrX58EqlRJlxKyIEkJOd9Vnb+FwZWUJExeeJP+HRuUhIzoWrgyQ2VRWgmp06AkI/7g4SAQC10v/tlAopKNeF26AAv5uwLaJds3X2UNBmybdr8m1f0W2lmBDIlSrXBSfpse+DMWxa6bVrZVWfqzjXlkvzuohtamhqQ9/QDOmpiXj97AZq1G0rzpuNQ03ERLyVSR8TGQRDYyu57XwOZbVrTq5NMGHhUfzwm7f4Y+1QE7WbdMMPv3mXycQJAGhq6cLIzE78MbF0ho6+KYL8b4jT5OZkIeS1b5HPNgcAK0cPmXUAIMj/ungdu+qNMeLX4xj+8xHxx8KuJtwadsfwn49ARUUVebk5yMvNVnCRiarCi1FKk2YlXfEPe8bmdjC1coaugSkCnkuOa05OFoJe+hbZDgCArZN8WxDw7AZsnTzKKuufpDyM3zQ0taGXX9/fPLuBGnXafk5IxdLU0kVlczvxp+D4vpXKa25OFoJf+sKmmONr4+iBt89l4wt8fgM2Us9BFwqFOL17Pl48OIeBU7fBSMG4rGDiJO59MAZO2Voq7XiRZdhPtgwHf6AM2zh5IFCu/7shfveWmpoGLBX0kYHPb8LWScE4/epBWNm7Fft+iwdXD6JandbQ0S+9x/sU5NXa3lVhe27n4qFwHTsF7fnrpzdg4yDbnl85uRkXjq7D8GkbYONYUya9s1sTTFx4FBN+8xZ/bBxqwsOzGyaUQXuuzPps51IXMZFBMmliI4NgaFJ83ywUSiY+PoZmJR2Zcm5m5QxdAxO5ch70wrfY8dWHxmQlHQuW1ZisJDS1dFHZzE78Kei/3z6X7b/fvfKFTTH9t7WTB94W6r8Dn1+HjYL6LEso/gG/6CRCmTHsx/o3tmsZ6SnYsWwEVNXU8d2ENUXemfKxyuu+KJCWEo+kuAjoKXi04acoD+OUwgrKe25uDnJzsyEQyP6UK1BRFV/cTaVLIBDw85Gf/6L/7OSJu7s7BgwYgL/++ku8rFWrVoiOjsaSJUsQEBCAf/75B6dPn/7s76pSpQqWLFmClStX4ueff8aLFy8QEBCA5cuXY/r06ZgyZQoaNWr0n/0yswABAABJREFU2d9T2LRp07Bt2zasW7cOr1+/xvLly+Ht7S1+cX27du1QrVo1DB48GI8fP8a1a9fw888/y2zD2dkZtra2mDt3Ll69eoWTJ0/KTQLNnDkTvr6+GD9+PJ48eYIXL15g7dq1iIkRzazb29vjzp07CAoKQkxMDPLy8jB79mwcPXoUb968gZ+fH06cOCGe1ClNTTsNwf0rh3D/6iFEhQfg1O5FSIyNQIM2omd7+hxYjoPrZ4jTN2jzLRJiwnFqz2JEhQfg/tVDuH/VG806S94l49lhMN48u4mrJzciOjwQV09uRMDzW/DsOFjmu/Py8vDgmjfqNOsl9xK23Nwc7P17IsKC/PD12KXIy8tFckI0khOiP2mwXtL9cO/KIUSFBeBk/n5omL8fzh5YDi+p/dCwYD/sXoyosADcu3II9694o1kXyX7IyclCeLA/woP9kZuTjaT4KIQH+8tc0XFs+3w8vnkc/cYthaaWjjjG7KyMUo+xPMXt47UCQS/vIT46DJEhr+DjtRJv/e/Cw7PbF4n7Y5y/m46uzbRRp5oGrE1VMbynHrKyhbjzTPKOoRE99dC7jeTOti5NK8HVQR0mhiqwMFZFh0aV0KSWFm4/zVT0Ff8aqjra0K9dHfq1RScb2g420K9dHVq28u+rUibPjoXatT355bp1frvmtRwHN0iV69aicn16r6Rde3DVG007Scp1k/aDEaCgXWvSQdKunTsoW67PHVyJty/uolYTUbnOzc3Bvn9E7VrfMaXfrpVFfW7SMb89P5Ef94mNCPCTbc9fP7mOV0+uIS46FG+e3cCmRUNhYuGAes2/Eqdp1mU4nt45A99LBxD7Phi3zu3Gy4eX0ajthy+MKA/74UPtmmYlHZjbVJX5aGhWgrau4Rd5h1UBgUCABm0H49aZ9Xj58Byiw17h5PaZUNfQgmtDSft6fOt0XD4sGavUbzMYb/1v4PbZDYiNDMDtsxsQ5H8LDdoOEcWnpQtT66oyH3UNbVTSMYRp/rsgNCvpwtalIS55L0XwyztIiAnBk5veeHb7CKp6tPti+6BgPzRuPxjXTqyH//1zeB/6Ckc2i/aDeyPJfvDeOAPnD0r2Q6P2gxDgdwPXT21EdEQgrp/aiED/W2jcfog4TWZGKiLe+SPinT8A0Ut+I975F/t8/rKgrPHb66ey9X3zYlF9rytV38uaQCBAw3aDcf3Uerx4cA5RYa9wdIvo+NaUOr5HNs/AhUOS49uw3SAEPL+BG6c3IiYiEDdOb8Rb/1to1E5yfE/vno+nt4/jq1F/QlNLBymJ0UhJlIzL8nJzcHDdj4gIeoZeo5ZCmJcrTvPBHyI/Mka5MrxpJtQ1tVCrsWwZPuclibFxfhm+dlJUhq+d3IjA57fQRKoMe3YYigdXD+LB1UOIDg/A6b35Zaf1tzJ5yEhPgZ/vWdRtUfSjh2PfByP41b1i03yOZp2HwvfyQfjmt+fHdy1GQmwEGrUVlfMz+5dj/7qfxOkbtemH+JgInNj9B6LCAuCb3xc07zJMnObKic3wObgafUf9BiMTK3E/nJmRCkDUnlvYush81PPbcwtblzKJU1n12bPjEIQEPMbl4+sR+z4Yj2+dgO9lLzRq2x8AkJWZBh+vFQh58wjxMWEID/LD4c2/ICk+EjUbdPzsuAUCAZp0GIyrxzfgeX459940S66cH9wwAz5ey8V/l2RM9qGxYEnHZMkJ0YgI9kdslKi/fx/6ChHB/khLSfjs+Avvi4btBuPG6fV48VDUrh3fJmrX3KTatWNbpuOSt1S71nYwAp/fwM0zGxATEYCbZ0T9d8O2kjp/6fByvHt9DwkxoYgKfYlLh1cg+OVduDXqDkB0nC8dXo6wwEdIjA1DRLAfTuz4GUnxkahRv1Opxlie27XM9BTs/HMEsjPT0XP478jMSEFyYjSSE6ORlyd/oeu/dV9kZqTi7L4/EPLmIeJjQvH2xR3sWTkO2npGqFG39MZrymrXCv/OcO6g6HeG2vnnY1qVdGFfvQHO7F+KQP+7iIsOxYNrh/HoxlG41vuy41WiiuQ/+diuAgsWLMCBA5IX5dWoUQNr1qzBwoULsWDBAvTp0wdTp04t9o6Ikpo0aRKcnJzw559/YtWqVcjNzYWbmxvWrl2LYcOGfXgDn6BXr15YtWoVli5digkTJsDBwQFbt25Fq1atAIgeyXX48GGMGDECDRs2hL29PVavXo1OnSSDCHV1dezduxfjxo1D7dq10aBBA/z2228y7zipWrUqfHx8MGvWLDRs2BCVKlVCo0aNxHfTTJ06FUOGDIGrqyvS09Px9u1baGhoYObMmQgKCkKlSpXQvHlz7Nu3r9T3gXujLkhLScClo2uQnBANc2sXDJq8DkYmoscvJCdGIyFOcldNZVMbDJ6yDqf2LMadC3ugZ2iGrgNnwa2B5NmYVVzq4Jvxy3D+0CpcOPQXKpvZot/4ZbB1qi3z3QF+t5AYG4F6LXqjsKS493jx8CIA4J9fZU/Ih/+0HY41SvcZ+bUaF9oPNi4YPEVqPyREIzFWdj8MmboOJ3cvxu0Le6BvaIaug2ahptR+SI6Pxj+/SmK7fnoLrp/eAofqDTBy1g4AwN2LomO6aaFkwAMAfUYt/CI/RCgr7pTEGHitn4HkhGhoVdKDhW1VDJ22Ac41m5Z5zB/r9M10qKsJMLCzLnQqqSAwLBvLdyciI0tyJXVlfRWZVwpoqovSG+mrIjtHiIiYXGw6kgzf5//uyRODejXR5MJO8d+uf84CAITs8MaTETOVlS05Be3a5aNrkJwoadcM88t1SqFybWRqg0GT1+H0Xkm71mWAfLv29bhluHBoFS56/wUjM1t8M062XUtJjMGhDTOQnCgq1+a2VTF4iqRcS7dra2YXatdmbIfDZ7ZrZVGf7VzqoN/4ZTh3aBXO57fn3xZqzzPSk+HjtQKJcZGopGMAtwYd0KHvRJmrfN3qt0ePoXNw9cQGnNi1ECaWDvjuf6tgX630X8yorHatvGjUYZToxbd75yEjLRFWDrXRb8IWaGpJHkWSFBchc8WdjVNd9ByxHFePrcTVY6thZGqLnqNWwMqhtqKvKFLPkctx5chyHN8yFRlpidCvbIUWPSehTovSnyT7kKadRyI7KwMnd81HemoibBxrYdCUzTKPV0qMC4dARXJ1VxXnuug7dhkueq/CxcOrUdnMFn3HLoeNVHkPD3qG7UskffbZfYsBALWb9sJXIxZ/gchElDV+y0gT1fek+Pz6Xr8D2heq71+CZ6eRyMnKwOndouNr7VgLAyZvli3nseEyV+/ZOtdF79HLcPnIKlw+IirnvUcvh7WjJL77l/cCAHYslb3gp8ewhajdtDeS4iPx6pGoHd84r5dMmkFTt8O+euld7NWsy0jkZGfgxM75yEhNhLWTgjJcKMYqLpIyfOnwahiZ2eLrQmW4ZqMuSEtNwJVj/yA5MRpm1i4YMGm9uI8s8OzOSQBCuDfqWmQeH147BD1Dczi5lc34rXbjzkhLScCFI2uRnBANCxsXDJ26XlzOkxJikCDdnpvZYNjUdTixezFunRe1590HzYK7VDm/dWEvcnOysXv1RJnvavvVeLTv/UOZxPEhyqrPNo7u6D9hNc55rcDlo2tgZGKDLgN+goen6Ed1gUAVMRGB2HP9CNJS4qGtawhrB3eMnLUL5jalM5HUvMtI5GRl4viO+chITYKNUy0MmboJmpUkFyUlxkZARarPKsmY7ENjwZKOyXwv7celo/+I/2/zokEAgK9GlP65WpOOo5CTlYkzu0X9t7VDbXw3Ubb/TlTQf381ajmuHFmJK0dF7dpXo1fItGupSTE4tmU6UhKjoFlJD2bW1fDtj5vg6CqqtyoqqoiNDMTBW4eRnhKPSjqGsLR3x+Dpu2FqVboThuW5XQsP9kNo4GMAwKoZsu/9mLj0PIxMSvcJEcraFyoqqngf+gqPbx5FRloydA1N4VC9Ib4et+KzH0EpTVntWkpSDA5ukPzOYG5bFUOmyv7O0G/cMvh4rYDXumlIT02EoYkV2vediIZtZCfbiKj0CIRl/SwCok/kdbti3nb4H73LjYpw2idW2VlQit7zmyk7C0qRetVf2VlQCpX/7H2upEhyWsU84FoaFXNIraZaMePOzK6YA7aK+ghPTbWKeV6Sk1cxy3lF/YUkI6ti9t8a6hX0gFdQqioV83h/3bhi1u/PlbxqirKz8K+j96P8Ky3+7Vh7iIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISMp/+p0nREREREREREREREQfhc+fJvDOEyIiIiIiIiIiIiIiIhmcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKWrKzgARERERERERERERUXkhUBEoOwtUDvDOEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKWrKzgARERERERERERERUbkh4D0HxDtPiIiIiIiIiIiIiIiIZHDyhOj/7N13WBRHHwfw7wGCdJDepKOCiIq9YYu9BVtssdeYWGJMLDFR81pirKnGrhE79oai2EUsWAAbiBRRinSk3/vHwRW4Q0TwSPx+nueexGN2b347szNzNzu7RERERERERERERERSOHlCREREREREREREREQkhZMnREREREREREREREREUjh5QkREREREREREREREJEVN2RkgIiIiIiIiIiIiIqo2VATKzgFVA1x5QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJERERERERERERERCSFkydERERERERERERERERSOHlCREREREREREREREQkhZMnREREREREREREREREUtSUnQEiIiIiIiIiIiIioupCIOCaA+LKEyIiIiIiIiIiIiIiIhmcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKWrKzgCRIkKhsnOgHAWFAmVnQSk01AqVnQWl6NTBWNlZUIrMzmHKzoJSaLerp+wsKEVawENlZ4E+IE2Nj7MDV1P9OOPOy/9Ixy01Ps7y/ljH5/kf6fhc8HGGjfyCjzPwGmof5wmuIvg44/5Yz++PtR+jClL5SE8UksGVJ0RERERERERERERERFI4eUJERERERERERERERCSFkydERERERERERERERERSOHlCREREREREREREREQkhZMnREREREREREREREREUtSUnQEiIiIiIiIiIiIioupCoMI1B8SVJ0RERERERERERERERDI4eUJERERERERERERERCSFkydERERERERERERERERSOHlCREREREREREREREQkhZMnREREREREREREREREUtSUnQEiIiIiIiIiIiIiompDIFB2Dqga4MoTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpasrOABERERERERERERFRtaHCNQfElSdEREREREREREREREQyOHlCREREREREREREREQkhZMnREREREREREREREREUjh5QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJEREREREREREREVEwg4OtdXxXwxx9/wN7eHjVr1oSnpycuXbpUZvqcnBzMmzcPtra20NDQgKOjIzZv3lyhzy4PtSrbMxERERERERERERERUQl79uzB9OnT8ccff6B169ZYv349unfvjtDQUNSuXVvuNoMGDcKrV6+wadMmODk5IT4+Hvn5+VWWR06eEBERERERERERERFRheXk5CAnJ0fmPQ0NDWhoaMhNv2rVKowdOxbjxo0DAKxZswanT5/Gn3/+iaVLl5ZKf+rUKVy4cAERERGoVasWAMDOzq5ygyiBt+0iIiIiIiIiIiIiIqIKW7p0KfT19WVe8iZBACA3Nxe3bt1Cly5dZN7v0qULrl69KnebI0eOoEmTJvj5559hZWUFFxcXzJo1C2/evKn0WIpx5QkREREREREREREREVXYnDlzMHPmTJn3FK06SUxMREFBAczMzGTeNzMzw8uXL+VuExERgcuXL6NmzZo4ePAgEhMTMWXKFLx+/brKnnvCyRMiIiIiIiIiIiIiIqqwsm7RpYigxIPmhUJhqfeKFRYWQiAQYOfOndDX1wcguvXXgAED8Pvvv0NTU7NiGS8DJ0+IiIiIiIiIiIiIiIoIVPi0i6pkbGwMVVXVUqtM4uPjS61GKWZhYQErKyvxxAkA1KtXD0KhEDExMXB2dq70fLIWEBERERERERERERHRB6Gurg5PT0+cOXNG5v0zZ86gVatWcrdp3bo1Xrx4gYyMDPF7jx8/hoqKCqytraskn5w8oQ8iICAAAoEAKSkpys4KERERERERERERESnRzJkzsXHjRmzevBlhYWGYMWMGoqKiMGnSJACiZ6h8/vnn4vRDhw6FkZERRo8ejdDQUFy8eBHffPMNxowZUyW37AJ4264qMWrUKKSkpODQoUMy7wcEBKBDhw5ITk6GgYHBe39OWloali9fjgMHDiAyMhIGBgaoX78+pkyZgk8//VTh/eGKnT9/HitWrEBgYCDevHkDOzs7dO/eHTNnzoSVldV75+9DCfT3weWTm5GRkgBTKyd0HzoHdnWaKEz/7OENnNq1HPGxT6FraIo23ceiWcfPZNKEBPnB/+A6vI6PQi3T2ujcfxpcPT9558+NfxEOv70rEfkoCEJhIUwtnTD4i9UwMLJ877iFQiECDv+GWxf24k1mGqwdGqDniAUwtSp7iVrozdM4JxVbJ+/pqFcithvnfHDl5CZkpCTAxMoJ3YfOha2LJLaDG79D8JVDMttYO3hg/Pd7xP/esmwEIh8FyaSp36wHBk5eVcGI5bt2dhcuHt+M9NQEmFk5odfw72BfRvlHhAXhuM9yvIp9Cj0DU7TrOQYtOknK/8b5fbh9+TBexjwVxWXviq4Dp8PGsYE4zfWzu3H93G4kJ8QCAMysndCp32TU8WhXqbG9jVAoxIUjojqQnZUGK4cG6DGsfHXg/KF1SE6IgqFJbXT0no56jSV14PmjIFw9vQkvIkOQkZqAwV/8hrqNO8vs49Cm73D36iGZ96wcPDBu3h5UJmWc3zfO7cKNc7uRkigqX1MrJ7TvOwUuDUTlW5Cfh7O+a/H43kUkx8egppYOHFxbosvAr6FnaFqp8VeGWm2awOHrsdBvXB81LU1xs/8UvDrir+xslZt0W1dcz3sOL39bV1zPS7Z1kY+CcPWUVD2f+hvqSdXzgvw8nDu4Fk/uXUByQgw0NHXg4NoKnQfMhJ6h/CXE1S1GQNSeXz21CelF51C3IbLteUZqIs7s/wXhD64g+006bF2aoMew+TAysxOneR0fBb89PyPqyS3k5+fCqX5b9Bg2Hzr6xpUW94fux34YXVfuvj8Z9A3adB8LALgZsAf3rx9D3PNQ5GRn4rvfb0BTS++9Ypbn+lkfXD4h6sdMrZzQc9jb27kTPkXtnIEp2vYci+ZS7dyrmCfw9/0VsZEhSEl8gR5Dv0PrbiNL7CMIl05sxovIEKSnJGDYtF/h6tm55EdVOWWd3wBw/tCveHDjBNJev4SqWg1Y2Lqhk/d0WDt6VGqMgf4+uHRiMzJSE2Bq6YQe5Sjfkz7LEf+iqHx7yO/HzvpKzoFP+k+DaxNJ/P4Hf8P5Q7/LbKOjb4zv1l0S/zsnOxN+e1ch7LY/sjJSYGhshRafDEfzTkMqJW6hUIjzh37HTanzu9fn38PsLWVbGWPwkJt+uBmwFy8iQ5CVkYIpC31hYVtPZh/pKQk4vWcFwkOuISc7E8YWdmjXayLqN+36XnEro7wBIO31K5zeuxKP711Efl4OjMzt8OmYn2Bl7wZA1Naf3rsSTx9cQXZWOuzqNEHP4fNgbG73XvEqoox2LdB/FwLP7UZKgmT81qHfFKWMz//r7Zo8H0Pc1b1dex0fhVO7f8bzJ7dRkJcLJ/e26DV83nuP16prP+Z/8DfcDzyB1CRRuVvaueKTAdNhU8FyV2b5luezD2/9AeEh15CeEg/1mlqo7dQIXQZ+DRNLB3GaxJfPcHrPL4h6chsF+Xkws3ZBp/7T4FCveYWOCdGHMHjwYCQlJWHRokWIi4tD/fr1ceLECdja2gIA4uLiEBUVJU6vo6ODM2fO4Msvv0STJk1gZGSEQYMG4aeffqqyPHLlyb9USkoKWrVqhe3bt2POnDm4ffs2Ll68iMGDB2P27NlITU2Vu11ubi4AYP369ejcuTPMzc1x4MABhIaG4q+//kJqaipWrlxZ4XwV7/9DuR94Aid9lsGr90RMXuQLWxdP7Fg1ESlJL+SmT06IwY5Vk2Dr4onJi3zRrtcEnNi5BCFBfuI0UU/vYO+fM+HRqg++WHQIHq36YM8fMxEdfvedPvd1fBQ2/m8YTCzsMea7bfhi0SG07zMZajXe7cFJilw+sRHXTm9Fj2HfY8KCfdDRN8H2X8Yg502Gwm2in97Bvj9nokHLPpi86DAatOyDvX/OQIxUbA8CT+CUz1K06zUJkxYehK1LE/yzakKpY+rk3haz1lwSv4bNWF/q8zy9Bsqk6T1yYaXEXuzu9ZM49s9SdOg7EV8tPgC7Op7YsmIiUhLll//r+Bhs+WUS7Op44qvFB9C+zwQc3bEE96XKPyLsBjxa9sSEuVsw5Qcf6BtZYNPP45H6+pU4jV4tM3QbNANTF+3D1EX74OjaHNtXT8WrmCeVGt/bXDm5Edf8RHVg/Px90NEzwY6Vb68D+9eL6sCkH0V1YP9fMxATIakDublvYGZdFz2GfV/m5zvVb4uvV10Sv4ZNK10H3oeyzm89Q3N0GTgTk37ch0k/7oN9vRbwWTsVr2JF5ZuXm42456Fo32cyJi88gCFT1yHpZSR2rp1SqfFXFlVtLaTde4SQaYuUnZUKEdfz4d9j/Pfv0Nb9JSrnSQsPw6NVH+z7S7aty8t5AzObuugxXH49Ly7ndr2nYOIPBzB46q9IehWJXesqv5yrKsYHN07g1K6laNtrEib9eBC1nZvgn9WS9lwoFGL3b18gOSEGQ776A5N+8IWBkSW2/zIGuTlZAIDcnCzsWDkWEAgwcvZWjJ3rg4KCPPism4zCwsL3iluZ/Zh03zRrzSX0G/M/CAQCuHp2EafJy82Gk3tbtO018b3iLMu96ydwYucyePWZiC8W+cLOxRPbfimjH0uIwbZfJsHOxRNfLPKFV+8JOL5jCR5ItXN5udkwNLFB10EzFf5gkpvzBha166D3iPlVEld5Kev8BgAjczv0GPY9Ji86gjFzdsLA2Ao7Vo1FZtrrSovvfqCofNv3nogpi3xhW8cT21cq7sdeJ8Rg+8pJsK3jiSmLfOHVawKO/1O6H9vzx0w0bNUHUxcfQsNWfbC7RD8GiH44/nbtRfHry58Oy/z9hM8yPLl/GQMm/oxpS4+jVdeROP7P/xB2u3Im1y+d2Iirp7ei5/D5mPTDXujoG2PbirHIeZOpcJvKGoPn5bxBbedG+GTgTIWfdWDDt0h8GYlh03/H1J8Ow9XzE+z9YyZePA+tcMzKKu83man4+39DoaKqhpFf/42vlhxD989mo6aWLgBRW79z7VS8jo/GsGm/Y8oiX+gbWWLLz5K2vjIpq13Tq2WOroNmYsrCfZiycB8cXFtg5xoljs//o+2aIh9D3NW5XcvNycLWFeMAgQCjZ2/FuHk+KMjPwz9rprzXeK0692PG5nboNWI+vvzfYYyf9w8Mja2wdcW4Cpe7Msu3PJ9taecG73H/w1dLjmPk1xsgFAqx7ZdxKCwsEKfZsXoSCgvyMfrbrZj8436Y166Lf1ZPRnpKQoWOCdGHMmXKFERGRiInJwe3bt1Cu3aSCx+2bt2KgIAAmfR169bFmTNnkJWVhejoaKxcubLKVp0AnDxRmqSkJAwZMgTW1tbQ0tKCu7s7du3aJZNm//79cHd3h6amJoyMjNC5c2dkZooaz7lz5yIyMhKBgYEYOXIkXF1d4eLigvHjxyM4OBg6OjoAADs7O/z0008YNWoU9PX1MX78eMTExOCrr77CV199hc2bN6N9+/aws7NDu3btsHHjRixYsKDceWzfvj2mTp2KmTNnwtjYGJ98IpphP3HiBFxcXKCpqYkOHTogMjKySo7j1dPb0LidN5p4DYSppSN6DJsLvVrmuHFut9z0N87vhr6RBXoMmwtTS0c08RqIxm29ceXUZnGaa37b4ejWCl69JsDE0gFevSbAoV4LXPPb/k6fe2b/Grg0aIeug7+Bpa0rapnaoE7D9tDRM3rvuIVCIa6f2Y62vSbBtUkXmFm74NNxy5CXk417148p3O6a33Y4uLVCu14TYWLhgHa9JopiO7NNEpvfVjRq1x+eXgNhYumI7kNFsQWdky17NTV16OqbiF9aOgalPq+GuqZMmuIvcZXl8smtaOLVH83aD4CplSN6D58DfSMLXPeXX/6B5/bAwNgCvYfPgamVI5q1H4AmXt64dGKLOM1nU1agZechsLStB1NLB/QfuwjCwkI8Db0uTuPauAPqNvSCiYUdTCzs0HXgdKjX1ELU03uVGl9ZhEIhAs9uR9uek1DPswtMrV3Qb+wy5OVm436g4joQeHY7HF1boW3PiTC2cEDbnhNhX68FAqXqgLN7O9FqFKkfEeVRVVOHjr6J+KUppw68D2Wd33UbdYCLhxeMze1hbG6PTwaIyjfmqWgQXFNLF6O+2Qz3Zt1hYmEPG6eG6Dl8Pl5Ehij8IqFMCacv4vEPa/Dy0Jm3J65mitu6dr0mwdWzqK0rRz2/fkZSz02k6vl16XreoB06eU+X+bFcWk0tXXw+azPqN+sOYwsH2Dg2RI9h8xH3vHLLuSpjvHZ6Kxq37Q/PdpL2XL+WOW6eF7XnSa8iERN+F71G/AAre3cYWzig54gfkJudifuBxwEAUU9uIyUxFv3GLoWZdR2YWddBvzFL8OLZfTwLuy43b+8St7L6Mem+SVffBA/vnINd3eaoZWojTtOyy0i07TmhSq/YvXJqGzy9vNG0/UCYWjmi53BRGQUqaufO7YaBkQV6Dp8LUytHNG0/EI3beePyCUk7Z+3gju5DvkGDFj2hVkNd7n7qeLTDJwOmw61p2e18VVLm+Q0ADVr0hqNbK9QytYGplTO6fvYdct5k4FXMo0qL8cqpbfBs540m7UX9WM9hovK9oWCcElRcvsX9WHH5npSU79XTRf1Y76J+rPcEOLq2wNXT22X2paKqBl0DE/FLW6+WzN+jnwajUZu+cKjXDIYmVmjaYRDMbeog9tmD945bKBTimt92tOs9EW5F53f/8eU7vytjDN6wdV906PsFHF3l3ytbFP9dtOg8DNYODVDL1Abt+0xGTS1dxEVWfPJEWeV98fhG6NeyQP/xS2Dt2ACGJlZwdGsJI7PaAERtfXT4XfQZ+QOsHdxhYmGPPiMXIDc7C/euHa9wvGUeByW0a/UadUAdDy8YW9jD2MIeXYrG5yV/kK1KH0O7Js/HEHd1b9eintxBSmIsvMcthbmNC8xtXOA97n+Ifc/xWnXuxzxa9oJTUbmbWTuj+1BRub+MfvdyV2b5lvezm7YfBLs6TWFoYgVLOzd07j8Nqa/jxHdLyExPxutXUWjbczzMberAyNwOXQZ+jbzcN4h/8fSdjwkRSXDyREmys7Ph6emJY8eO4cGDB5gwYQJGjBiBwMBAAKJlSUOGDMGYMWMQFhaGgIAAeHt7QygUorCwELt378awYcNgaVn69k86OjpQU5PckW3FihWoX78+bt26he+//x779u1Dbm4uZs+eLTdvxbcUe1sei23btg1qamq4cuUK1q9fj+joaHh7e6NHjx4IDg7GuHHj8N1331XSkZPIz8/Fi8gQONVvLfO+U/3WiH56R+420U+DS6d3b43YyBAU5OcVpbkLp/qygxJn99aIKtpneT63sLAQj+9dgJG5Hbb9Mg7LvmyN9YsGI/TW2YoHLCU5IQYZqQkyeVCroQ7bOk0Vxg4AMeHBcHSTzbdj/TaIfhosji0uMgROJdO4tUZ0uOx+Ix/ewM9ftcK677ri8JbvkZGWVOrz7l07iuVftsBv83rh9O7lZV559K7y83MRGxkKZ3fZvDrXb4XnT4LlbvP8aTCcS5VtG8Q8k5R/SXk52SgoyIeWtr7cvxcWFuDutRPIzXmD2s5VvyS+WEqiqA5Il6daDXXY1WmKmHDFdSA6PBgOpcpXUgfeReSjG1gxvRV+ndsVR7Z+j0w5daCilHV+l1RYWIB7148jNycLNk4NFeY35006BAIBalbBLX0+ZsVtnbx6XlZbFx0eDMdSdacNosOD3ys/2VnpQCWXc1XFmJ+fixfPQ0q3+W6Sc6ggP7fo8yQrIlVUVKGqpo6oJ7ckaQQCqKlJfqxSq6EBgUBFnKYiqkM/ViwjNRGP711A47b9KxhNxShs59xbI+pJGe1cyX6vRDv3b1Gdzu/8/FzcurAHGpq6MLORf0u3iuxTUT+mqM+JktOPOdd/ez8mb59JL59j+bR2+OXrztjzx0y8jo+W+butiyce3jmPtNevIBQKEREWiMRXkXByb1OheKWJyjax1PltV7epwtgVxfauY/Dyqu3cGPdvnERWRgoKCwtx7/pxFOTnwb5es3faTzFllvfDO+dhZeeGXb9Nx9KprfH7994ICtgryVueaF+l2/oaeP7kdgWiVay6tGvS47faZYzfKtt/vV1T5GOIu7q3a/l5uRAoGK89f1yx87y692Ml83rz/F7U1NKFee13L3dllm9FPjs3Jwu3L/nC0MQaerXMAQBaOgYwsXRE8JXDyM3JQkFBPoIC9kBHzxiWtm7vcDRIhkCFr3d9/QfxmSdV5NixY+LVH8UKCiTL6aysrDBr1izxv7/88kucOnUK+/btQ/PmzREXF4f8/Hx4e3uL7/Pm7u4OAIiPj0dycjLq1i1fp9CxY0eZz3ry5An09PRgYWFR5nZvy2MxJycn/Pzzz+J/z507Fw4ODli9ejUEAgHq1KmD+/fvY/ny5Qo/KycnBzk5OTLv5eXWQA11xbe4ykpPQWFhAXT0ZJdu6+gZIT01Ue42GamJpVZ+6OgZo7AgH1kZydA1MEVGaiK0S+xTW88YGUX7LM/nZqYlITc7C5eOb0Tn/l+hy8Cv8eT+Zez+7SuM/nYr7OtW7IuZJI6EonyViEXfSOGSeNF28uI3Eu8vKz0ZhYUFcveb8UByTJ3d28GtaTfoG1kiJTEG53zXYdvPozDxhwPiq8HcW/aGobE1dPSNER/7BGf3r8LL6EcY+c1mVIbictAtkVddfSM8LqP8dfVLpNczQmFBPjIzUqBnYFJqm5N7VkHf0BRObi1l3n8Z/Rh/LByC/LxcqNfUwohp62Bm5fSeUZVfcZmVLE9tPSOklnFVvMI6kPZuS3md3NvBtUk3GBhZIjkxBucPrcO2FaMwYcEBhVcEvgtlnd/FXkY/xoafhiA/LwfqGloY+uWvMFVQvnm5OfDbtwruLXqhpqaO3DRUMcX1smSbVJ56Lm+b4vOmIvLycnB2/0q4N6/ccq6qGLPSkyEsLIC2vrw0ovpubO4AfSNLnN2/Cr1HLkQNDU1cO70VGakJyCha3m/t0BDqGpo4s+8XdOo/A4AQZ/b9AqGw8L2Op7L7MWnBVw5Bo6Y26jX5sKswxO2cful2rmSbVCw9JRHO7iVjMy7qx5KhZ1D9nrukSHU4vx8Fn8f+9aKrMnX1TfD5rM3Q1jV85/3Io6h8tfUVl29GamKpc7a4fKX7sVJ1Rl+2H7NxaIABE5bByNwOGWmJCDjyF/7+aSi+WnIEWjqi+HoOn4tDmxfg5xntoaKqBoFAgH5jFsPOxfO9Yy/Oi7w+vKyVe5UxBi+vwVNWYc8fM7F0akuoqKqhhnpNDPlyHWqZ1n6n/RRTZnknJ0TjxvndaNV1FLx6T0BMxH0c/2cJ1NTU0ahNP5hY2MPA2BJn9q1G39E/ooaGJq6c2oaM1MRKv5WLstu1l9GPsX5R0fitphaGTVM8fqsK//V2TZGPIe7q3q7ZOHqghoYm/Pb+gs4DROM1v70rIRQWIr2C47Xq3o8BwMPg89j7xyzk5b6Bjr4JRn2zqULlrszyfZfPDvT3gd/elcjNyYKxhQNGfbNJPGEmEAgw6ptN2Ln2C/w0qQkEAhVo6xnh86//hqY2L/Ajeh+cPKkiHTp0wJ9//inzXmBgIIYPHw5ANJGybNky7NmzB7GxseLJA21tbQCAh4cHOnXqBHd3d3Tt2hVdunTBgAEDYGhoCKFQCABvfSB8sSZNZB/mJRQKy7Xt2/KoaP9hYWFo0aKFzGe0bCn7w3NJS5cuxcKFss/DGDBmAQaO++Gt+USJUIRCIQQl35RJL/s3IYSldlTq+MjbZxmfW1xGdRt3RKuuowAAFrb1EPX0DoLO73nnyZN7147i6DbJsRg2/S+5+RQK314v5P29ZGxy9yuVpn7zHuL/N7N2gaVdfaye1QmP7wbAtejHpyZeg2TSGJnZYv3CAXgRGQJLu0q88qFUXt9Wv+WXv7wtLhzbhLvXj2PC3G2lJvKMLezw1f98kZ2ZjgdBftj391xMmLetyiZQ7l0/imPbJXVg6DRRHSgdf+n3Sil1DgDyj4Bi9ZtJ6oBpUR1YM7sTntwLeOvtvt6Jks5vYws7TFnki+ysdITc9MOBjXMw9rvtpb6AF+TnYe+fX0MoLETvzxeUKyRS7N61ozi6/e1tXdGbZe6rVD0Rit6tiIL8POz/ayaEQiF6jihHv1SGDx2j3DRF+1VVq4HBX6zD4S3zsfzL5hCoqMLBtSWc3CX3mNXWq4WBk9fg+I6FCPTfAYFABe7Ne8LC1hUCFdUy8yetuvVj0u5cOgD3Fr1Qo5KeSfauSuZKCGGZZS+vDRPtp2L1+0Opjue3fb3mmPTjQWRlJOP2hX3Y9+d0jJu/t1JusSpWqoDfUr4lxynC0v1YqbFMibGPi8wDsl1Q26khVn3TFXcuH0brbqMAANf9/kFM+F0Mn/4HDIwsEfnoJo5uXwRdAxM4uSm+3ZU8d68exZFtP4r/PXyG6DtQ6aoqLJX3kt53DF5eZw+sRXZWGkbN3gwtHUOE3fbHnt9nYOzcf2Bu4/JO+yorbx+ivIWFQljau6HLwBkAAEtbV8THPsWNc7vRqE0/qKrVwJCp63Bw83z8b0oLqKiowtGtJVwatH3X6MpNWe2asYUdpv7kizeZovHb/r/nYPzc0uO3yvKxtmsfQ9z/tnZNW68WPvtiDY5sW4jrZ/8pGq/1gKWtK1RU3vNK8GrajwGAQ73m+GKxL7LSkxF0YR92/z4Dk37Y89Zyr47lW57P9mjZG05urZCemoDLJ7dgz+8zMG6eD2qoa0AoFOLo9kXQ1quFsXP/QY0aGrh1cT/+WTMZk37YC8C8zDiISDFOnlQRbW1tODnJDtJiYmLE/79y5UqsXr0aa9asgbu7O7S1tTF9+nTxA9dVVVVx5swZXL16FX5+fvj1118xb948BAYGwtbWFoaGhggLCyt3XqS5uLggNTUVcXFxZa4+eVseFe1f0jmW35w5czBzpuzDz47eqVHmNlq6BlBRUS111UNm+mvo6MvvLEte0QCIVomoqKqJn9khSiN7dUZmepL4CoryfK6WrgFUVNVgaukok8bE0gFRFVg2W6dhB1g5NBD/u/hWKxmpidCVuhorMy2p1NU70nT0jUtdwZKRlgTtois/tHQN5ceWllTqChJpugam0DeyRNKr5wrTWNi6QVW1Bl6/el4pkyfF5VA6ntcKB0vy438tU/7FLh7fjPNH/8a4bzfBonadUvtSU1OHsZloVZi1Q33EPHuAK6d3wHvMwlJpK0Mdjw6w/kFSB/IV1IGs9KQyB4uKzoGSV7q8K10DUxi8pQ68C2Wd38XU1NRhVFS+Vvb1EfvsPq6d2YG+oyTlW5Cfhz1/zEByYgzGfLuFq04qwbu0dW+t52kl606SwofMlqUgPw/7/pyBlIQYjJy99b3L+UPFqKVrCIHcc0h2v5Z29TF54SFkZ6WjID8P2nq1sGHxIFja1RencarfBtOWn0FmejJUVFWhqaWHFdPboL6xdZXE/SH7seePbyLx5TMMnLy63LFUFkX9WGYZ/Ziugfz45fVj1U11PL/VNbRgZGYLIzNb2Dg2xLrvuuLOpf1o23PiO++rJHE/llL+8q1wP/aW80ZdQwtm1s5IehkJQPTw7TP712DoV+tQp2F7AIB57TqIiwrDlZNb3nnypG6jjrB2LD1GSS9ZtmX04Qpje8cxeHm8jo9CoP9OTP3fEZhZOQMALGrXxfPHN3HD3wd9Rv1Y7n0VU2Z56xgYl/7OYeEg84BmK3s3TF18UKat/2vhYFjZV+6tXJTdrkmP36wd6iM24j6u+u1Av9FVND7/yNq1Yh9D3P+2dg0Q3Qpq5go/0XhNRRWa2npY/lVbGL7DeE1ade7HpN8Xl7tTQ6ye3RW3LhyAV+8JZcZWncq3uL6X57NraumippYujMztYO3ogSVTWiDs9lk0aNETEWHX8Sg4AHP/CBR/X7G0c8PTkKu4c/kw0L3y2gCij81/82Zk/wKXLl1C3759MXz4cHh4eMDBwQFPnjyRSSMQCNC6dWssXLgQd+7cgbq6Og4ePAgVFRUMHjwYO3fuxIsXpZcQZmZmIj8/X+FnDxgwAOrq6jK32pKWkpJS7jzK4+rqiuvXZR9KVvLfJWloaEBPT0/mVdYtuwDR4NjSzg3hIVdl3g8PuQobp0Zyt7Fxalgq/dMHV2Bl5wZVtRpFaTzwtFSaq6hdtM/yfK6amjqs7OsjMe6ZTJqkl5HQNy79nJq30dDUEQ8KjMxsYWLpBB19E5k85Ofn4vmjIIWxA4C1Y0NElMr3FfGzHNTU1GEhJ7aI0KuwcVS836yMZKS9joOunNteFYuPfYKCgjzolJHmXaipqcPKzhVPH5QuK1vnhnK3sXVqWCr9k/tXYG0vKX8AuHB8E/wP/4Ux3/wNa4f6JXcjl1AoFN9TuipoaOqglpmt+FVcByJCJfEU5Oci8lEQrMsoKxvHhjLbAECEVB2oqKyMZKS+pQ68C2Wd3woJgYI8ycRx8cRJ0qvnGP3NZpnl41RxCtu6UNm2LvItbZ2NY+m6EP7gCmwcG75TfoonTpLin+PzWVsqpZw/VIxqauqwtHWT2S+g+ByqqaULbb1aSHoViReRD1CnUcdSabR1DaGppYeIsOvITE9CnYYd3j9uJfdjty/uh6WdW4Xuj/2+its5ef1YbWfF7Vzp9LLtXHVV3c5veYQQIj8v9+0Jy0FcviX7nBDFfU5tp4Zy+qjS/Vjpvq7sfiw/LxcJLyLEY7CCgnwUFORBUOK+1AIVVRQWFpYvQCkamtoyZWtq6QQdfeNS53fkw6Ay81kZY/DyyM3JBoBS8auoqEIofPf4pfOmjPK2dW6MxBI/KCa9jISBnO8cxW194stIxD57gLqNOpU7xvKobu2aEKi0c1qej61dK/YxxP1va9ekaesaQlNbDxGhReM1OWO68qjO/ZgiQqFkIqQs1al8DU2sK/TZRRGL63meuG8ruaJFpcJ9GxGJcPJESZycnMQrS8LCwjBx4kS8fPlS/PfAwEAsWbIEN2/eRFRUFHx9fZGQkIB69eoBAJYsWQIbGxs0b94c27dvR2hoKJ48eYLNmzejYcOGyMhQ/GBuGxsbrF69GmvXrsXYsWNx4cIFPH/+HFeuXMHEiROxePHicuVRkUmTJiE8PBwzZ87Eo0eP4OPjg61bt77fAVOgVdeRuHXhAG5dPID4F+E44bMUqUlxaNZhMADAb98q7P/7W3H6Zh0+Q0riC5zctQzxL8Jx6+IB3L7oi9bdxojTtPzkc4Q/uIqLxzcg4UUELh7fgPDQa2jZ5fNyfy4AtOk+Bg9unMLNgL1IevUc18/uxKPgADTvOOS94xYIBGjxyee4dGw9wm6dwauYxzi0cQ5qaNREgxa9xOl8N3yLM/tWiv/d4pMRCA+5gkvHNyAhLgKXjm9AROg1tPxkpCS2LqNw++J+3L54AAkvwnFylyi2ph0+AwDkZGfi9O7liH56B8mJMXj2MBA+ayZDS9cQ9Rp3BiC6oi/g8O+IfXYfyYkxeHz3Avb+MR0WtV1R27nxe8dfrE33UQgK2I+gCwcQHxuOo/8sQ0pSHJp3EpXDqT2rsOev78Tpm3ccjOTEOBzbuRzxseEIunAANy8cQNseo8VpLhzbBL/96zBg/E8wNLZEekoC0lMSkJOdKU5zau9qPHt0E68TYvEy+jFO71uDiLAgNGolOfZVTSAQoHnnz3Hp+HqE3T6D+JjHOLR5Dmqo14R7c0k+Dm78FmcPSOpA886iOnD5xAYkxkXg8okNiAi7huZSdSA3OxMvo8LwMkq0ui05MQYvo8LE9yzOzc6E3x5RHUhJjEHkw0DsWieqA3Ubda60GJV1fp/ZvxqRj24iuah8z+xfg2cPb6BBS9FxLSjIx+7fpyM2MgQDJq5AYWGBuJ6UZ7D+oalqa0HPoy70PEQ/DmvZW0PPoy5q2pT93KvqQG5bt6l0Pffd8C3O7peq559I6nmCVD1vIVXPc7IzERcVhriiep6SGIO4qDDxvYULCvKx949peBH5AP3Hr0ChsADpqQlIT63ccq7KGFt2LWrPL4na81O7liL1dRyatP9MnCYk6BSePQzE6/hoPLzjj+2/jEHdxp3gVF/y0Og7lw4gOjwYr+OjcPfaEez7YxpafjISxhYOlRv3B+rHimW/yUBI0Gk0bjdQbh7TUxMQFxWG16+iAADxMY8RFxWGrIyUCsddUutuonbuZlE/dnxnUTvXUdTOnd67CvvWS7VzHUXt3ImdyxAfG46bFw7g1gVftOkhaefy83Px4nkYXjwPQ0F+HtKS4/HieZjMysCc7ExxGkD0sNIXz8PKfN5MZVPm+Z2bk4WzB1YhOjwYKYmxePE8BIe3zEfa65dwa9qt0mIsLl9xP1ZUvk2Lytdv7yrslyrfpsXl6yPpx25d9EWb7pLybdXlczyV04+16irpx07u+hnPHt7A64QYRIffxa7fpiHnTQYatekHAKipqQO7uk1xas8KRISJ0t2+dBDBVw7D1fP9+3GBQICWXT7HxaN/I7SobH03zi11fu//+1v47Vsl/ndljcGzMlIQ9zwMCS+eAgASXz5D3PMw8fM9TCzsUcusNo5s/QExEffwOj4KV05uQXjIVdRrXPHJBGWVd6uuIxEdfhcBR9cj6dVz3L12DEEB+9C801Bxmgc3TonKOj4aYbf9sXXFWNTz7ATnEg9qrwzKatf89smO3/z2rcGzsBto+IHH5//1du1jjbu6t2sAcPuSL6KfisZrwVePYPfv09Gyy0iYWNhXOO7q2o/l5mTBb99qRD8NRnJiLF5EhuDgpvlIS36J+k27vnOcyizf8nz26/hoXDj2N2IjQ5CS9AJRT+9gz+8zoVZDQ3yLMxunhtDU1oPvhjmIi3qIxJfPcGr3CqQkxMLFw+udjwkRSQiEFbnHEpVp1KhRSElJwaFDh2TeDwgIQIcOHZCcnIzCwkKMGTMG/v7+0NLSwoQJExAVFYXU1FQcOnQIYWFhmDFjBm7fvo20tDTY2triyy+/xNSpU8X7S01NxbJly3DgwAE8f/4choaGcHd3xxdffIG+fftCIBDAzs4O06dPx/Tp00vl8+zZs/jll19w48YNvHnzBnZ2dujVqxdmzpwJCwsLvH79usw8AkD79u3RsGFDrFmzRmbfx44dw4wZMxAdHY1mzZph9OjRGDNmDJKTk2FgYFCu47j3WvlmxwP9fXD5xCakpybAzMoZ3Yd+B7s6TQEAvhvmIDkxFmPnbBenf/bwhujH1din0DUwRdse49Cso+wPKg+CTsP/wFokJ8TA0NQGnftPg1uJB8mW9bnFbl08gIvH/0ba61cwNrdHx0+nvvVLWaGwfPc2FQqFCDj8G24G7EV2ZiqsHBug5/AFMLOW3Kd5y7IRMDC2wqfjlonfCwk6hXO+ktg6eU8XP6ek2I1zPrhyYiPSUxNgauWMbkPmiGPLy83GrnVf4GVUGLKz0qFjYAL7us3Q8dNp0DcS/RibmhSHAxu+QXzME+TmZEG/lgWcG3ihfd8vFC6/11Cr2NUQ187uwoXjm5CekgBza2f0HPYdHOqKnsOzd/1cJCfGYuK8beL0EWFBOLZzGV7FPoWegSm8eo1Fi06S8l82o7PcH486fToFn3iLzr/9G+bjaeh1pKckoKamLixqu8Cr5zg4u7/bbS4A4E1uxeewhUIhLhz5Dbcu7MWbzFRYOzRAj2ELYCpVB7b+PAIGRlboN1ZSB0JvnsK5g6I6UMvUBh0/nS7znJLIh4HYtmIkSvJo1Q/9xi5DXm429vz2BeKK6oCuvgns6jZDh0+nQb9W+X6QV1MtX9ejjPP74KZ5iAi9jvRUUfma2bigbY9xcKov+oEhOSEWq76R/+PSmG+3wb6e4mcaaberV664K1Otds3Q0n9Hqfejt/vi3tg5HyQPaQEPK7xtcVsnU89LtnXLi9o6qXoeclPS1tUytUFH7+lwlarnzx4GYtvPcup56374dOwyJCfGYO1s+eU8cvY22NdtXuGYPlSMQFF7fnIjMora866fzZHpq66f2Y6rpzYjIy0JugYm8GjZF+36TBY/fBIAzuxbieArB/EmMxUGxpZo0v4ztOwySuGzScr5SDal9WPFbgbswaldSzFr9SXU1NItlb/zh35FwOHfS73fb+wSNGrjXer98rZrJV0/64NLJ0T9mJm1M3oM/Q72dUV53f/3HKQkxmLcXNl27vhOUTunZ2CKtr3GoblUO5ecEItfvi5dd+3rNhXvJyLsBjYtLV3/G7XphwETlr5T/vPyK/6sFWWd33l5OTiwfhZiI+4iKyMZmtoGsLJ3R7vek2Fl716uvL9LPyYu36J+rLh8DxT1Y+NK9GMnfCT9WLue8vuxswfWIjleFH/nAbL92J4/ZiLy0U1kpadAS9cQNk4e6Oz9lcxzH9JTEuC3bzWePrgiPrebth+EVl1HlvncofJ+cxQKhTh/6HcEBexBdmYarB0boNeI72XKdtPSz2FobAXv8ZI6Vxlj8NuXDuLgprml8tSh7xfo+KloLJf0MhJ++1bh+ZPbyM3OQi2z2mjTbTQatu4rN57ytmvKKG9A9NDkM/tWI+nVcxgaW6NVt5Fo2l7y/MFrfjtw6eRmZKYmQcfAGI1a90X7vrJt/fvEXZIy2jXfjfMQLjU+N7dxQbtekvHbu/hY27X38W+OW1WlfA1bdW/X/PauxJ3LhyRteofPymzTq3O79rZ+LC83B/v+moXo8HvIykiGlo6o3Nv3mQRrh7LLXVE/pszyfdtnpyXH49CW+XgRGYrszDRo6xvBzqUJ2vedIjM5FvvsAc4eWIPYZw9QWJAPUysntO87BS4N2mFQS147XxFvfN5tXEyA5tAP8xvDh8TJE6q2yjt58l9T3smT/5qKTp78273P5Mm/WUV/ZPy3U8bkSXXwPpMn9O9T0R/b/u0+1nbtfX5k/Df7WMv7Y/3m+LG2ax9r3B9ru/axKu/kyX/Nx3p+f6z9GCdPKoaTJ+/uvzh5wrOHiIiIiIiIiIiIiIhICidPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKSoKTsDRERERERERERERETVhUDANQfElSdEREREREREREREREQyOHlCREREREREREREREQkhZMnREREREREREREREREUjh5QkREREREREREREREJIWTJ0RERERERERERERERFLUlJ0BIiIiIiIiIiIiIqJqQ0Wg7BxQNcCVJ0RERERERERERERERFI4eUJERERERERERERERCSFkydERERERERERERERERSOHlCREREREREREREREQkhZMnREREREREREREREREUtSUnQEiIiIiIiIiIiIiompDwDUHxJUnREREREREREREREREMjh5QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJERERERERERERERCSFkydERERERERERERERERS1JSdASIiIiIiIiIiIiKiakMgUHYOqBrgyhMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIilqys4AEREREREREREREVG1ocI1B8SVJ0RERERERERERERERDI4eUJERERERERERERERCSFkydERERERERERERERERSOHlCREREREREREREREQkhQ+Mp2rrY30uUw1BobKzoBQZ2arKzoJSqKkKlZ0FpfhYz++0gIfKzoJS6LWvq+wsKMXHWt7hUR9nP2Zr9XE2bFoaH2c/JsDHGXdegUDZWVCKgsKPM+68/I8z7vwCZedAOYx0P87AdTVylZ0FpSjEx3l+p72poewsENG/DCdPiIiIiIiIiIiIiIiKCT7Oi6NIFmsBERERERERERERERGRFE6eEBERERERERERERERSeHkCRERERERERERERERkRROnhAREREREREREREREUnh5AkREREREREREREREZEUNWVngIiIiIiIiIiIiIio2lARKDsHVA1w5QkREREREREREREREZEUTp4QERERERERERERERFJ4eQJERERERERERERERGRFE6eEBERERERERERERERSeHkCRERERERERERERERkRQ1ZWeAiIiIiIiIiIiIiKjaEHDNAXHlCRERERERERERERERkQxOnhAREREREREREREREUnh5AkREREREREREREREZEUTp4QERERERERERERERFJ4eQJERERERERERERERGRFDVlZ4CIiIiIiIiIiIiIqNoQCJSdA6oGuPKEiIiIiIiIiIiIiIhICidPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEiKmrIzQERERERERERERERUbahwzQFx5QkREREREREREREREZEMTp4QERERERERERERERFJ4eQJERERERERERERERGRFE6eEBERERERERERERERSeHkCRERERERERERERERkRQ1ZWeAiIiIiIiIiIiIiKjaEAiUnQOqBrjy5D0FBARAIBAgJSVF2VmpdKNGjUK/fv2UnQ0iIiIiIiIiIiIiog/qX7/yZNSoUUhJScGhQ4fKlT4mJgYODg5wcHDAw4cP3+mz2rdvj4YNG2LNmjXi91q1aoW4uDjo6+u/077K8uOPP2LhwoXo2rUrTp06JfO3n3/+Gd9++y28vLwQEBBQaZ/5X3L9rA8un9iM9NQEmFo5oeewObCr00Rh+mcPb+CEz3LExz6FroEp2vYci+YdPxP//VXME/j7/orYyBCkJL5Aj6HfoXW3kTL7uHD0b4TcPIOEuAjUqFETtZ0boevgr2FiYV9lcZZ07ewuXDwuitvMygm9hn8H+zLijggLwnGf5XgV+xR6BqZo13MMWnSSxH3j/D7cvnwYL2OeAgCs7V3RdeB02Dg2kNlP6utXOLlnJR7fu4S83BwYm9ui/7ifYG3vVjWByiEUCnHx6G+4c3EPsrPSYGnvge5DF8DEyrnM7cJuncaFw2uRnBAFQ5PaaN9vBuo2/kT89ysn1uPhbT8kvYyAmnpNWDs2Qqf+s2Bk7iBOk5udiXO+K/Hozlm8yUyBvpEVmnUaAc/2Q6ssXkWEQiECDv+GWxf2IjsrDVYODdBz+AKYvuU4hN48jXMH14mPQyfv6ajnKTkOkY+CcPXUJryIDEFGagIGT/0N9Rp3rupwAFT++QwAD4L8cPbAOryOj0It09r4ZMA0uDWRxJvzJhNnD6xF6K2zyEh7DUvbeug5fC6sHdxl9hMfG47Te1fi2cMgCIWFMLNywmdfrIaBsWXlHoQiyirfgvw8nDu4Fk/uXUByQgw0NHXg4NoKnQfMhJ6hWZXEWhlqtWkCh6/HQr9xfdS0NMXN/lPw6oi/srNVbso8n0Nv+eFWwB68eB6CNxkpmPjjQVjUrlclcZZH2/oCNHIUoGYN4MVr4NTNQiSmKU5vrAd4uavAvBZgoC2A3+1CBD0Wlkqnqwl08BDA0UKAGqrA63Tg2I1CvEyuwmDKSSgU4uKR33D7YlH52zdAt2FvL/+wW6cRcEhS/h0+nS7Tr10+sR4Pb59BUpxUvzbgaxhL9WsfyrWzPrh0XNK+9xo+5y3jlhs4LtW+e/Uci+adZMdrZw5Ixms9h32HNiXGa8tndEJK4otS+27RaQj6jlpQecGVQRnjtetnd+P6ud1ITogFAJhZO6FTv8mo49GuiqIEAv19cPnkZmSkiMq3+9C399+ndhWVr6Ep2nQfi2Yl+u+QID/4H5T03537T4OrVPt24djfCLslGY/bODVCl0Gy43HfDXNw58ohmf1aOzTAxAV7KiVu6bb7TWYarB0aoOeI8rfdxbGVbLsB4MY5H1w5uQkZKQkwsXJC96FzYesi/5ge2boAty7sRbchc9Cyi+Q82LJsBCIfBcmkrd+sBwZOXlXBiBWrqvH5rQAf3ArYhZQkUX02sXRG215T4OTuJU7z8LYfbl/Yg7ioB3iTkYJx3x+C+Qfqx4RCIS4f+w13L4vitrDzQJchC2BiWXbcD2+fxqUja5GSGAUD49po13cG6jT6RG7aa6fW48KhVWjS8XN0HjRP/H5udiYCDq7Ek7uS7yWeHUagsVfVfi+5emYXAo5vRnqKqF3rM+I7ONRVfL6HhwXh6D+Sdq19rzFo2Vlyvt8POoNzh/9G4qsoFBTkw9isNrx6jIZn2z7iNEumdUaynPa8Zech8B79feUGqEDAqT04c2QbUpMTYWnjiIGjvoGza2OF6R+H3MT+bSvxIjocBoYm6NJ3FNp1HSj+e0F+Hk4d3IxrAUeR8joeZpZ28B4+DW6NWovTXDi9FxdP70NSgih2CxtH9BwwAfUbt6m6QEu4cGoPzh7ZitTkRFjYOGLgqNlwekvcB7b9grjocOgbmuCTvqPQrusgmTTnjv2Di357kZz4Etq6Bmjc4hP0HfYVaqhrAADmT+6O1wmly7td18H4bPzcyg1QAWX93lLs/JG/cXrfGrTuOgK9h8+p3OCIqEwf3cqTrVu3YtCgQcjKysKVK1fee3/q6uowNzeHoJKXcllYWOD8+fOIiYmReX/Lli2oXbt2pX7WhyQUCpGfn19l+793/QRO7FwGrz4T8cUiX9i5eGLbLxPlflEGgNcJMdj2yyTYuXjii0W+8Oo9Acd3LMGDID9xmrzcbBia2KDroJnQ0TeWu59nD4PQovNQTFqwG6O/3YTCgnxs/XkscnOyqiTOku5eP4lj/yxFh74T8dXiA7Cr44ktK8qIOz4GW36ZBLs6nvhq8QG07zMBR3cswX2puCPCbsCjZU9MmLsFU37wgb6RBTb9PB6pr1+J02RlpuLPxcOgqqqG0bPWY8ayo+g5dDY0tXSrPGZp105tQOCZLeg2dAHGzNsPHX1j7Fw9GjnZGQq3iQm/A9+/Z8C9RV+MX3AY7i36wvfv6YiNuCtO8/zxDTTpMAyj5+zFsBlbUFhQgJ2rZcvVb+9ShD+4hL7jVmDSohNo/skonNr1Ex4Fn63SmOW5cnIjrvltRY/h32P89/ugo2+C7b+MQc4bxcch+ukd7PtrJjxa9cGkhYfh0aoP9v01AzHhkuOQl/MGZjZ10WP4h/kiUqwqzueoJ3ew5/eZaNS6D7786RAate6D3b/PRLRUvAc3zcfTkKsYMHE5vlpyGE71W2Pz8jEydT/pVRT+/mkYTCzsMW7ONnz50yG07zsZakUD/KqgrPLNy81G3PNQtOs9BRN/OIDBU39F0qtI7Fo3pdJjrEyq2lpIu/cIIdMWKTsrFaLM8zkv5w1snBuj84CvKzWmimhZV4DmdQQ4fasQW84UIuONEEM7qEC9jMt/aqgByRlCnL8rRMab0pMmAFCzBvB5ZxUUFgJ7LhRi/clCnA0uRHZeFQXyjq6e2ojrZ7ai29DvMXb+Pmjrm2DnqjFv7dcOrJ8J95Z9MOGHw3Bv2QcH1s+Q6deiHgWhaYehGD13D4bN3AxhYT58Vo37YOOVYveun8Dxf5ahQ9+J+HKxL+zqeGLrW8YtW4vGLV8u9kWHonGLdPuem5uNWqY26DZoJnQVjNe+WLgPc3+9KH6N/XYTAMC9ebfKD1IOZY3X9GqZodugGZi6aB+mLtoHR9fm2L56Kl7FPKmSOO8HnsBJn2Xw6j0Rkxf5wtbFEztWTURKkvw4kxNisGPVJNi6eGLyIl+06zUBJ3YuQYh0//30Dvb+KWrfvlh0CB6t+mDPH7L9d+TDIDTrOBQTvt+Nkd9sQmFhPrb9Uno87uzeFrPXXBS/RsxcX2mxXz6xEddOb0WPYd9jwoJ3aLv/nIkGLftg8qLDaNCyD/b+Kdt2Pwg8gVM+S9Gu1yRMWngQti5N8M+qCXKPadjts4iNuAddA1O5n+fpNRCz1lwSv3qPXPj+gctRVeNzXUNzdOw/C2PnHcDYeQdgV7cF9v7+BRJiJfU5NycL1k6N0NF7VpXEVpZAvw0I8t+CTz5bgJHfieLes7bsuGMj7uDwxhmo36Ivxsw/jPot+uLwhul48exuqbRxkfcQfGkPTKzqlPqb/76liAi9hF6jV2DcDyfQtNMonNnzEx5X4feS4GsncWTHUnTqOxHT/3cA9nU9senniXInNgBRu7ZpxSTY1/XE9P8dQMe+E3B4+xLcuyE537W09dGx70RM/dEHM5ceRFMvb+z9ex4e3bssTvPV4r34/vcL4tf4ORsBAB7Nu1ZZrNJuXjmNfVtXoLv3OMxbsRtO9RrhtyVf4HVCnNz0ia9i8duSqXCq1wjzVuxGN++x2LNlOW5fl5TN4V2/4+KZ/Rg89lv8sMYX7boMwF8rZiIqQnLRr6GRGfoN/wpzlvtgznIf1KnfFH/+PB0vop9WecwAcPPKKezf+jO6eY/HnBV74FSvMX5fMqWMuGPwx5Iv4FSvMeas2INu3uOwb8ty3JGK+8bF4zi0cy16DpyEBWsOYvjkH3Hr6mkc3rlOnObbZTuxdIO/+PXVAlG73bil/AnGyqas/rtYdMR93Di/D+Y2pc97Iqp6/6nJk/3798Pd3R2ampowMjJC586dkZmZKf67UCjEli1bMGLECAwdOhSbNm0qtY8rV67Ay8sLWlpaMDQ0RNeuXZGcnIxRo0bhwoULWLt2LQQCAQQCASIjI2Vu25WamgpNTc1Sq0V8fX2hra2NjAzRgCk2NhaDBw+GoaEhjIyM0LdvX0RGRspsY2pqii5dumDbtm3i965evYrExET07NmzVL63bNmCevXqoWbNmqhbty7++OMP8d8iIyMhEAiwd+9etG3bFpqammjatCkeP36MoKAgNGnSBDo6OujWrRsSEhJK7XvhwoUwNTWFnp4eJk6ciNzcXJlj+vPPP8PBwQGamprw8PDA/v37xX8vPj6nT59GkyZNoKGhgUuXLikqwvd25dQ2eHp5o2n7gTC1ckTP4XOhX8scged2y01/49xuGBhZoOfwuTC1ckTT9gPRuJ03Lp/YLE5j7eCO7kO+QYMWPaFWQ13ufkZ9swGN234KM2tnWNSui/7jlyAlKQ6xz0KqJM6SLp/ciiZe/dGs/QCYWjmi9/A50DeywHV/+XEHntsDA2ML9B4+B6ZWjmjWfgCaeHnj0okt4jSfTVmBlp2HwNK2HkwtHdB/7CIICwvxNPS6OM2FY5tgUMscAycsgY1jA9QysYKTW0sYmX24CT6hUIgb/tvRpsck1G3cBaZWLugzejnycrPxIPCYwu1unN0GB9dWaN1jIowtHNG6x0TY1W2BwLOSc27o9E3waO0NEytnmNnURe/RS5H2+gXinkvKNTY8GA1a9YNdneYwMLZG43aDYWZdF3GRD6o07pKEQiGun9mOdr0mwdWzC8ysXfDp2GXIy83G/TKOw/Uz2+Ho2gpte06EiYUD2vacCPt6LXD9jOQ4ODdoh07e0+Hq2eVDhCJWFefz1dPb4Vi/Fbx6T4CJpQO8ek+Ao2sLXD29HYBooiDk5hl0HTwL9nWbwsjMFp28p8LQxBo3zu0S7+fM/jWo49EO3T77BpZ2rqhlaoO6DdtDR8+oSo6FMsu3ppYuPp+1GfWbdYexhQNsHBuix7D5iHseovCHsOog4fRFPP5hDV4eOqPsrLwzZZ/PHq36on2fL+Dg2rJS46qIZnUEuBIixKMYICEVOBooRA1VwM1W8UUrca+Bc3eFCI0SIr9QfpqW9QRIywKO3RDixWsgNROIfAWkKP5t64MRCoW4cXY72vSchHqeon6t75hlb+3XAs9sh4NrK7TpMRHGFg5o02Mi7Ev2azM2wqO1N0ytnGFe1K+llujXPoRLJ7ehiVT73nv4XOgbmZcxbtldNG6RtO+eXt64KNW+2zi4o8eQb+DRsidUFYzXdPRqQdfARPwKCw5ALdPasK/btEriLElZ4zXXxh1Qt6EXTCzsYGJhh64Dp0O9phaint6rkjivnt6Gxu280cRrIEwtHdFj2Fzo1TLHDUX99/nd0DeyQI9hc2Fq6YgmXgPRuK03rpySlO81v+1wdGsFr15F/XevCXCo1wLX/LaL04ycVTQetxKNx73HLkFqUhxeRMrWb1U1dZl6oKVjUClxF7fdbXtNgmuTorZ73DLk5WTj3nXF5+41v+1wcGuFdr1EbXe7XhNFsUm13Vf9tqJRu/7w9BoIE0tHdB8qOqZBUmMTAEhLfoUT/yxG/4kroKoqf5a5hromdPVNxK+aVXDRU1WOz108OsLJ3QtG5vYwMrdHh09nQF1DCzERweI0DVr2Q7veU2Ff78P2Y0KhEEH+29Gq+yTUadQFJlYu6DlSFHfoDcVxB/lvg329VmjZbSKMzB3RsttE2NZtgSD/bTLpcrMzcWTzN+g+/CfU1Cp954vYZ8Fwb9EPtkXfSxq2HQxT67p4GVV130suntyKpu37o3mHATCzckTfEXNgYGSBa2fln+/X/PfA0MgCfUfMgZmVI5p3GICmXt64cFzSrjm6NoN7084ws3KEsVlttO02Aha1XfDs0W1xGh29WtAzMBG/wu5cgJGZDRzqfZj2/OzRHWjd8VO06ewNC2sHDBo9G4ZG5rjgt09u+ot++1DL2AKDRs+GhbUD2nT2RqsO/XDmiKQNC7x4HN0/HQv3xm1hYmYNr66D4OrREmePStI0aOIF98ZtYWZpCzNLW/Qb+iU0amrh2eP7VR4zAJw7ugOtOn6K1kVxDxw9GwZG5rjot1du+kt++2BobIGBRXG37uyNlh364ewRSd1+9vguHOs0RNO2PWBkagXXhq3QpE03PA+XtN26+rWgb2gsft2/dREm5jZwdlO88qMyKav/BoCc7Ezs+XM2vMcuhKa2XpXGSUTy/WcmT+Li4jBkyBCMGTMGYWFhCAgIgLe3N4RCyRWH58+fR1ZWFjp37owRI0Zg7969SE9PF/89ODgYnTp1gpubG65du4bLly+jd+/eKCgowNq1a9GyZUuMHz8ecXFxiIuLg42NjUwe9PX10bNnT+zcuVPmfR8fH/Tt2xc6OjrIyspChw4doKOjg4sXL+Ly5cviiQvpSQkAGDNmDLZu3Sr+9+bNmzFs2DCoq8t+IdywYQPmzZuH//3vfwgLC8OSJUvw/fffy0y8AMAPP/yA+fPn4/bt21BTU8OQIUMwe/ZsrF27FpcuXUJ4eDgWLJC9ZYG/vz/CwsJw/vx57Nq1CwcPHsTChZKrk+bPn48tW7bgzz//REhICGbMmIHhw4fjwoULMvuZPXs2li5dirCwMDRoIH8Z4vvKz8/Fi8gQONVvLfO+k3trRD25I3eb6KfBcHKXTe/s3hqxkSEoyK/45afZb0T1Skun8m7npkh+fi5iI0PhXDKO+q3w/Emw3G2ePw2Gc/1Wsund2yDmmeK483KyUVCQDy1tSUxht8/Byr4+dq6bjsVT2mDtfG/cOC9/wFhVUhJjkJGaAAc3yVJltRrqsHVpiphw+eUOADERwXBwlV3e7OjWtsxtcorKVVPqGNg4Ncbj4HNIS34FoVCIyIfX8frVM5n8fAjJCaLj4OgmqQdqNdRhV6cpop8qjik6PBiOJc+Z+m0QHR5cVVktl6o6n6Oe3pVT9yX7LCwoQGFhAWrUkF1BUqOGBp4/Fn1hKywsxKO7F2BkboctP4/Dki9a488fByP0VtVd1Vfdyjc7Kx0QCFBTiwP4qlDdyltZDLQBHU0BIl5KxnIFhUBUPGAtf2FBuTlbCRD3WgjvViqY3k8FY7uqoKFD9XggpKRfky1/2zpNEVNG+Yv6Ndnyd3Brg5inwQq3yckq3a9VteL2vfS4RXH7HvU0GM4l6raLe2vEljFuKU8+gq8cRRMv70pfQa7o85Q1XpNWWFiAu9dOIDfnDWo7e7x7IG+hsP+u31ph+xX9NFhufy/df0c/vQsnef13GedEtpxxGwBEPryBZV+2xppvu+HQ5u+RkZZUvuDeorjtlo6l+Nwtq+2OCQ+Wae8BwLF+G0QXnbv5+bmIiwyBU8k0bq0RLTVuLSwshO/fs9Gq29gybxN279pRLP+yBX6b1wundy8vc1VMRX2o8XlhYQFCbhxHXm4WrB0bVU7m30NqYgwy0xJgV082bhvnpoiNUBz3i4hgmW0AwN61balt/HYvgmN9L9jVkz0Xilk7NsaTe+eQXvS95Pmj60h+9Qz2rlXzvSQ/Pxexz0Lh4l6yfS6jXXsSDBd32fy7NFDcrgmFQjx5cA3xcZEKbwWWn5+L25ePoumHas/z8hAVEYZ6HrKTc/U8WiDiUenVQgAQ8fge6nm0kHnPtWErPA8PFcedn5crvk1VsRrqNfH0oYL6X1CAoMunkJv9BvYuVfMbizTFcbdUGPezx/dKpS8Zt2PdRoiKCEPkE9EEUOKrGDy4fRn1PdsqzMeNi8fRskO/j6L/PrztJ9Tx8Cq1PyL6cP71zzwpFhcXh/z8fHh7e8PW1hYA4O4ue3/6TZs24bPPPoOqqirc3Nzg5OSEPXv2YNy4cQBEzxNp0qSJzKoNNzfJcxvU1dWhpaUFc3NzhfkYNmwYPv/8c2RlZUFLSwtpaWk4fvw4Dhw4AADYvXs3VFRUsHHjRnFDv2XLFhgYGCAgIABdukiuBO3VqxcmTZqEixcvwtPTE3v37sXly5exefNmmc9cvHgxVq5cCW9vbwCAvb09QkNDsX79eowcKbnH7axZs9C1q2gZ67Rp0zBkyBD4+/ujdWtRJzB27FiZyZrimDdv3gwtLS24ublh0aJF+Oabb7B48WK8efMGq1atwrlz59CypahDdHBwwOXLl7F+/Xp4eUnuO7to0SJ88oniJZU5OTnIycmReS8vt0apwUNZstJTUFhYUOrWWjp6RshITZS7TXpKIpzdZa8U19E3RmFBPjIzkqGnYLl7WYRCIU74LIetiyfMrF3eeft3VRy3bokr3nX1jfBYQdwZqYnQ1S+RXs+oKO4U6BmYlNrm5J5V0Dc0hZObZPDzOiEGged2o023kWjfZwJiIu7jyI4lUK2hDs82fSshurfLSBWtltIuEb+2njFSy7gqPiM1Uc42RshMK736ChCV65m9S2Hj5AlTK0m5dh0yH8e2f491s9tBRVUNAoEAPT//CbWdP8xVMMUy0hQdB6MKHYfi46osVXU+Z6QmQkev5D6NkV60Tw1NbdR2aojzh/+EiaUjdPSNcO/accRE3IORmahvyUxLQm52Fi4e24hPBnyFroO/xpN7l+Gz7iuMnbMV9nWbVdZhEKtO5ZuXl4Oz+1fCvXkv1NTUqfB+SLHqVN7KpF1T9N/MbNn3M3OE0NMSAJB/S67yMNQBPJ0ECHwkxJVQISyNBOjSWICCQuB+ZMX3WxmKy6vkSrZylX+Jvl1b30hcn0oSCoXw27sMNs6y/VpVE7fvJdtifSNxW1xSemoidErEpqP3fuO10Fv+yM5Kh2fbT99524pQ5ngNAF5GP8YfC4cgPy8X6jW1MGLaOphZOb1nVKUpLF89xeUr6pvll29WRjJ0i/pv7RL71NYzVjgmEAqFOLmr9HjcuUFbuDXtCgNjSyQnxMLfdx22LB+FyT8eULjCvLwUjUl19I0U3tpFtJ28+CVtd1Z6MgoLC+TuN+OBJP7LJzZARVUVLT4ZofCz3Fv2hqGxNXT0jREf+wRn96/Cy+hHGPnNZoXbVERVj8/jYx5hy7LPkJ+XA3UNLQyc8jtMLCu/Pr8rxf23MdJelxF32tvjDg06jldRoRg5Z3/JzcU+GTwfJ//5Hr/PaQcVFTUIVAToPvwn2DhVzfeSzOJ2rWT7/I7tua5+UbuWngI9Q1G79iYrHT9NbY/8/DyoqKjg01Hfl5p0KRZyU9SeN2n3YdrzjKJzUk+/lsz7evpGSEuRH3daSiL09FuVSF8LhQX5yEhPgb6hCVwbtsTZozvg5NoYJmY2eHg/EHeDAiAsLJDZLvb5E/w873Pk5eZCo6YmJs5eBUsbx8oNUo7iuEuW99vjll/exXE3adMd6WnJWPn9KAiFQGFBPtp2HYSun46Vu8+7QefwJjMdLTr0kfv3yqbM/vvutROIjQzF1IXyV/bQByD4z6w5oPfwn5k88fDwQKdOneDu7o6uXbuiS5cuGDBgAAwNDQEAKSkp8PX1xeXLkvtkDh8+HJs3bxZPngQHB2PgwIFy919ePXv2hJqaGo4cOYLPPvsMBw4cgK6urnhS5NatW3j69Cl0dWWXR2dnZyM8PFzmvRo1amD48OHYsmULIiIi4OLiUmrVRkJCAqKjozF27FiMHz9e/H5+fn6ph9hLb2tmJnrIr/QEk5mZGeLj42W28fDwgJaWlvjfLVu2REZGBqKjoxEfH4/s7OxSkyK5ublo1Ej2yp8mTcoesC1dulRmRQsADBy7AIPG/1DmdvKUvPZACCFQxhUJpa5WKFqtJCi1p/I5un0xXkY/woT5O9+euDKViEMoFL7lSowS6SGU867IhWObcPf6cUyYu01mQktYWAgr+/roNmgGAMDKzhWvYp4i0H93lU2e3L9+BCf+kdSLz74svk+1nHjeWoSlj5mijU75LEJ8zGOMnO0j8/4N/x2IjQjGoKl/Qt/IElGPb+LUzoXQ0TeFg2vVXR1y79pRHN0uOQ7Dpv8FQE59Fr1Z5r5K1XWh6N3qoErO55LnCmTPlQETl8N34zwsn+YFFRVVWNi5okHLXngRGVq0S9E+6zXuiNbdRgEALG3rIerpHdw4t6dSJk+qa/kW5Odh/18zIRQK0XPEu7fPJF91Le8Pzc1WgB5NJHndc1HBPbcqgQBAXDIQcE90Pr9KEcJEH2jsJPjgkyf3rx/F8R2S8h/y1V9SuZQifPvY5F3K/5TPYsTHPMKob33k/r3KlWrgyx63lIxNMm6pWP2+eeEAXBq0hZ7hu0+8vBcljNcAwNjCDl/9zxfZmel4EOSHfX/PxYR526pkAkVeBoVCYdllJadvLrkjeX28on0e27EYr6IfYdw82fG4e/Me4v83s3aBlb0bVn7dGY/uBsCtybvdnvTetaM4uu3tbbdQqKA9lyLv7yVjk7vfojQvIh8g8MwOTPzxQJmf1cRL8pBmM2sXGJnZYv3CAXgRGQJLOzeF273Nhx6fG5nbY/yCQ8jOSsPD2344svlbjPjmnw8+gRISeASnfCRxD/xCFLei8WhZ5G8jei/tdRzO7v0fBk/bDLUaii8uvHluB148C0b/KX9Cv5Ylop/chN8u0fcSRatVKkUZeZebXG4Zy26iUVMbM5b4Iic7C09DruPozp9hZGoDR9fS4+wbAb6o49EW+h+4PS91TuItcb+lnRs0ejb++WsRfpz2KQQQwMTcGq069MHV80dktjOztMO8FXvwJjMdtwP9se23BZi5cOMHmUAB5MfxLu07SsT9+EEQTvtuxGfj5sHO2R0JL6Owb8vPOGFgjB4DJ5ba3VX/g3Bt1BoGtf7b/XdKUhyO/rMUY2ZveKeLiomo8v1nJk9UVVVx5swZXL16FX5+fvj1118xb948BAYGwt7eHj4+PsjOzkbz5s3F2wiFQhQWFiI0NBSurq7Q1NR873yoq6tjwIAB8PHxwWeffQYfHx8MHjwYamqiQ11YWAhPT89St/YCABOT0rPPY8aMQfPmzfHgwQOMGTOm1N8LC0U/LGzYsEEmNkB0TKTVqFFD/P/FjXzJ94r39zbSaY8fPw4rKyuZv2toyDbu2traZe5vzpw5mDlzpsx7x+/WUJBaPi1dA6ioqJa6yiUz7bXC5xDoGhiXSp+RlgQVVbUK3f/46Paf8PDOeYybtwP6tRSvUKpMiuLOKCNuHX15cb+WG/fF45tx/ujfGPftJljUln1Ama6BCUytZAdpppaOeHCz6p4x4NKwI6wcJLeZKMgT3e4uMy1R5sGYWWlJpa5QlKajb4zMNNljkJX+Wu42p3wW4/Hdc/j8m3+gJ1WuebnZOH9wNQZO+Q3ODdoDAMys6+JVdBiu+22q0smTOg07wMpBMiFakC86DhmpsschMy2pzOdw6OgbI6PEcchMTyq14uNDq6rzWUffuNRV+CWPkZFZbYyftwO5OVnIfpMBPQNT7P5tBgxNrCR5U1UrVfdNLB3Et/Z6X9WxfAvy87DvzxlISYjByNlbueqkElXH8laGJ7FCbEyS/MCkWnShl3ZNIENq9Ym2hgCZ2e83wZGRDSSmyu4jMQ2oa/1eu60Ql4YdYGUvKf/84vIv0a9lpieVujJZmqh9K9lmJpVaAQAU9WvB5/D5bNl+7UMobt9L5rWscYuunHFL5nuM15ITY/H0wTUMn7bu7YkriTLHawCgpqYO46IVlNYO9RHz7AGunN4B7zGV+7BwReWbmf661NXmxRTV3bf23+lJpVZbAcCxHT/hYfB5jJvz9vG4roEp9I0tkPTq+dtCK+Vd2u63nbvyxi/aRW23lq6h/GOaJon/+eNbyExPwupZHcV/LywswOndy3Hdbxtm/HJO7mdb2LpBVbUGXr96/l6TJx96fK6qpo5apqL6bGnnjheR93HDfzt6jlhU4RgqwsmjI8bYS+LOl6oDOvol2+8y4paziipTKu6XUSHISk/C1iXe4r8LCwsQ/TQItwJ24pvf7qMgPw8XDq+G96Tf4OTeHgBgal0Xr2LCEHhmU5VMnmgXt2sppdupklfdF5PXnhe3a9pS7ZqKigqMzUVlbGVXD/EvInDuyIZSkyfJCbF48uAaPp++thIiKh+donMyNUX2ln/pqa+hZyA/bj0DY6SWOE7pqclQUVWDjq7ooldd/VqY/O0a5OXmICM9BQa1THHwn7UwNrWU2U6tRg2YWoieMWrr5IbnT0Nw/oQPhk38vrJClKs47pKrTNJTX0O3jLjlpZeO++ju39GsXS+07iyq31a2zsjJeQOfvxajW//xUFGRXPmflPACD+8HYsKsVZUZWpmU1X/HPgtBRloSflsgucC7sLAAkY9u4toZH/y0JRgqKrK/+RFR1fhPrT8SCARo3bo1Fi5ciDt37kBdXR0HDx4EILpl19dff43g4GDx6+7du+jQoYP4NlgNGjSAv7+/wv2rq6ujoKBA4d+LDRs2DKdOnUJISAjOnz+PYcOGif/WuHFjPHnyBKampnBycpJ5lVwpAohuG+bm5oYHDx5g6NChpf5uZmYGKysrRERElNqfvb39W/P6Nnfv3sWbN2/E/75+/Tp0dHRgbW0NV1dXaGhoICoqqtRnl3wezNtoaGhAT09P5vWus+tqauqwtHPD0wdXZd5/+uAqajvLvweujVNDOemvwMrODapq5Z+8EQqFOLJ9MUJuncGY77aglsmH+/VFTU0dVnaucuO2dW4odxtbOXE/uX8F1vaycV84vgn+h//CmG/+hrVD/dL7cWmMxLhnMu8lvIyEgZFlqbSVRaOmDmqZ2opfxpZO0NE3QUToFXGagvxcPH8cVOa9j60dGspsAwARoZdlthEKhTjlswiP7vhhxNfbYGgiW68LC/JRWJBX6ooTgYqqzPOWqoKGpg6MzGzFL5Oi4xAeKinX/PxcRD4Kgo2T4uNg49gQ4SGydSH8wRXYODasqqyXS1Wdz7WdPErXfQX7VNfQgp6BKd5kpuLJgyuo17iTOG/W9vVL1f3ESqz71a18iydOkuKf4/NZW6ClY/hO21PZqlt5K0tuPpCcIXklpgEZb4SwN5e0sSoqQG1TIEb+XRLKLTpRiFp6sm13LV0gNev99lsRGjV1UMvMVvwqLv9nUmVZkJ+L54+CYF1G+Vs7NMSzUNnyjwi9AmunhuJ/C4VCnNy5CA9vn8HwWVth+AHHK8WK2/cn79C+11YwbrGyf7fxWrFbFw9CR68W6jT0enviSqLM8Zo8QqEQ+XkVf76fIsXlW6otCrmqsP2ycSrddpXsv22cPPC0VJqrqO0kO247tmMxQm+dwZjZW8pVv7MykpGW9BK6cm6h8jYK2+4Q2bb7+VvabmvHhogodbyuwKbo3FVTU4eFnGMaEXoVNkXjVo9WfTB50WFMWnhQ/NI1MEXr7mMx4uuNCj87PvYJCgryoFOB+KV9yPG5XEKheMLmQ9KoqQNDU1vxy9jCCdp6JogMk407+kkQrBwUx2Dp0FBmGwCIDLss3sa2bguM/f4oxsw7JH6Z29aHW7PeGDPvEFRUVBV+L1Gpwu8lamrqsLJ3LdWeP75fRrvm3BCP75dMX7pdK0koFIonp6QFXTwIHf1aqNfoA7bnNWqgtkM9hN27JvN+2L1AONSR/ywpB5cGCLsXKJv+7jXYOrqWiruGugYMjcxQWJCPO4H+8Gjavsz8CIVC5H2A+i+JW/aB5g/vXVcYt71LAzwskb5k3Lm52XLrLSAstWrr2rnD0NWrpfB5KFVBWf23k1tLTF9yGF/95Ct+WdvXR8NWvfDVT76cOCH6gP4zkyeBgYFYsmQJbt68iaioKPj6+iIhIQH16tVDcHAwbt++jXHjxqF+/foyryFDhmD79u3Iy8vDnDlzEBQUhClTpuDevXt4+PAh/vzzTyQmir6h29nZITAwEJGRkUhMTFS4SsPLywtmZmYYNmwY7Ozs0KKF5MFgw4YNg7GxMfr27YtLly7h2bNnuHDhAqZNm4aYmBi5+zt37hzi4uJgYGAg9+8//vgjli5dirVr1+Lx48e4f/8+tmzZglWr3n82Pjc3F2PHjkVoaChOnjyJH374AVOnToWKigp0dXUxa9YszJgxA9u2bUN4eDju3LmD33//vdTD6j+U1t1G4taFA7h54QDiY8NxfOdSpCbFoVnHwQCA03tXYd/6b8Xpm3X8DCmJL3Bi5zLEx4bj5oUDuHXBF216SFb55Ofn4sXzMLx4HoaC/DykJcfjxfMwmSvUjmxbhLtXj2Lw5BXQqKmN9JQEpKckIC+3xI3aq0ib7qMQFLAfQUVxH/1nGVKS4tC8kyjuU3tWYc9f34nTN+84GMmJcTi2czniY8MRVHTM2vYYLU5z4dgm+O1fhwHjf4KhsaU4ppzsTMnndvscUeH3cP7IeiS+eo7gq8dw4/w+tOw85IPEDYgmTZt1+hxXTqzHw9tnEB/7GEe2zEEN9Zqo37yXON3hTbNxznel+N9NO32OiNAruHrybyTGhePqyb/xLOwamneWPCfolM9C3L9+BP3GrYR6TW1kpCYgI1VSrhqaOqjt0gz++1cg8lEgkhOicfeKL+5fO4S6jTp/sGMAiI5Di08+x6Vj6xF26wxexTzGoU2i4+AudRx8N3yLs/slx6H5JyMQHnIFl09sQEJcBC6f2ICIsGto8YnkOORkZyIuKgxxUWEARA8BjYsKQ0oZ96yuDFVxPrfs+jmePriKi8c2IOFFBC4e24DwkGto1fVzcZon9y7j8b1LeJ0Qg6cPrmDj0lEwNreXuS9+mx5jcD/wFILO70XSq+e4dmYnHt0JQPNOVVP3lVm+BQX52PvHNLyIfID+41egUFiA9NQEpKcmyP0SW12oamtBz6Mu9DzqAgC07K2h51EXNW0slJyzt1P2+ZyVkYK4qDAkvBDdTjTp5TPERYUhXQnPTrnxSIjWrgLUsQJM9IHezQXIKwBCnku+TPduLkD7BrITLGYGopeqCqCrKfp/Qx3Z/VoZAa1cBTDUEd0yrJGjADefKPd5J0BRv9b5c1yW6tcOby7drx3a9C38D0jKv1nnEQgPvYIrJzcgMS4CV05uKNWvndy5CPevH8Wn43+Bhpx+7UNp230kbgZI2vdj/ywtNW7Z+5ekfW/e8TMkJ77AMan2/eYFX7Qrx3gtscSKgsLCQty66IvGbftBVfXDLsJX1njt1N7VePboJl4nxOJl9GOc3rcGEWFBaNRKUp8qU6uuov771sUDiH8RjhM+Rf13B1GcfvtWYf/fUv13B1H/fXLXMsS/CMetiwdw+6IvWneT6r8/+RzhD67i4vGi/vv4BoSHXkPLLpL++9gO0Xh84KQVUJczHs/JzsSp3T8j6ukdJCfE4lnYDfyzZgq0dA3h2ljxsxnLS27bvXEOamjURIMWsm33mX2Sc7dFUdt96bio7b50fAMiQq+hpVTb3arLKNy+uB+3Lx5AwotwnNwlOqZNO3wGANDSMYSZtYvMS1VVDTr6xjC2cAAAvI6PQsDh3xH77D6SE2Pw+O4F7P1jOixqu6K2c+P3jr/ksaiq8fk531WIenwTKYkxiI95hPMHV+P5oxuo36K3OM2bzBS8jApDYlxRP/bqGV5GhVX5M8AEAgGadvoc106tx6M7Z5AQ+xjHt4nidm0mifvoltkIOCiJu0nHz/Es7Aqun/4bSS/Dcf3034gMu4amnURxa9TUgYmVi8yrhroWNLUNYFL0zCoNTR3YODfDed8VeP4oECmJ0bh31RcPrh+CS8Oq+17Srvso3Di/HzcCDuBVbDiO7BC1ay2L2rUTu1dh15+Sdq1lp8FITorDkX+W41VsOG4EHEBQwAF49ZS0a+cO/43H968iKT4a8S8icOHEVty6fASNW/eW+ezCwkIEXTiIJkpozzv3HoEr/gdxxf8Q4mIisHfLCiQnxqFdlwEAgIM712HLuvni9O26DMTrhBfYt/UXxMVE4Ir/IVw5dxCf9JG0Yc8e38ed6/5IeBWDJ6G3se6nLyAsLESXfqPEaQ7tXIcnobeRGB+L2OdPcMjnVzwOvYlmbSW3JKxKHXuPwFV/X1z1P4i4mAjsL4q7bZeBRflbi63r5onTty2Ke//WFYiLicBV/4O4eu4gOveRnNPunl645LcPNy+fROKrGITdvYZju3+HexMvqEjdTaWwsBDXzx9Gi/a9P4r+W0NTG+Y2zjKvGhqa0NIxgLmN8weNn+hj95+5bZeenh4uXryINWvWIC0tDba2tli5ciW6d++OL7/8Eq6urqhbt26p7fr164fJkyfj6NGj8Pb2hp+fH+bOnYtmzZpBU1MTzZs3x5Ahoh/DZs2ahZEjR8LV1RVv3rzBs2fPSu0PEA2ahgwZghUrVmDBggUyf9PS0sLFixfx7bffwtvbG+np6bCyskKnTp2gp6cnd39vu+XVuHHjoKWlhRUrVmD27NnQ1taGu7s7pk+fXo4jV7ZOnTrB2dkZ7dq1Q05ODj777DP8+OOP4r8vXrwYpqamWLp0KSIiImBgYIDGjRtj7ty57/3ZFdGgRQ9kZaTg/OE/kJ6SADNrZ3z+9V8wNBbdbic9JQGpSXHi9LVMrDFy1l84vnMZrvv7QM/AFD1HzEX9ppJ7HqcnJ+D37yVLpC+f3IzLJzfDvm5TjJu7HQBw49xuAMDGJZJBAAD0H78EjT/Ag0g9WnRHVkYK/A/9ifSUBJhbO2PUrPXiuNNSEpEiHbepNUbP+gvHdi7DtbOiuHuPmAt3qbiv+e9CQX4edq6bLvNZnT6dgk+8pwIAbBzcMWLaOpzauxr+h/6EoYk1eg//Do1KDGyrWstu45GXl4NTPgvxJjMVVg4eGDpjMzRqSn4pS30dB4HUw75snBrDe8IqBBxag4DD62BoYgPvCatlbjlwK2AXAGDHL7IP3uw9aik8WovqhPeEVTjnuwqHN87Cm8xU6BtZon2/GWjs9eEmkIq17j4OebnZOP7PIrzJTIW1QwOM+HoTNDSlj8MLCFQkPzLWdmqMAZNW4pzvWpw7uA61TG0wYNIqWDtKjsOLyAfY9rOkbp/evQwA4NG6Hz4du6zK4qmK89nWuREGT1mJMwfW4uyBX1HL1AafTVkJG6l4s9+kw2/faqS+fglNbX24Ne2CLgOmy1wl5NbkE/QZ9QMuHvsbx/5ZAmMLewz5ci3s6nhW2fFQVvmmJb/Eo2DR7T7++rGfTJ5Gzt4G+7qyt4ysLvQ966Ol/w7xv11/EfVL0dt9cW/sHGVlq9yUeT4/Cj6Hw5sl/fj+v0S31fTq8wU69PuyagJW4NpDIdTUgG5NVFBTHYhNAnYFFCI3X5JGX1sgdd9w0WTJuG6SL9st6wnQsh7wPF6If86JLnyJew3sv1yIDg1U0NZNgJQM4MxtocykjDK16jYO+bnZOLlzUVG/1gDDZm6S6dfSkl7IXKkp6tdWIuDQWgQcKu7XVsnt17avkPxYAwB9Ri8R92sfQoMWPZCZkQL/Q5L2fdQs2fa95LhlVHH7LjVuKTle+3W+JIZLJzbj0gnReG3CvO3i95+GXENKUhw82324eIspa7yWkZqEPX99h/SUBNTU1IVFbReM+eZvOCt4+PL7cm8u6r8DDv+B9NQEmFk5Y8TMv2BQFGdGif7b0MQaI2b+hZO7liHQ3we6BqboMWwu3KTirO3cCAMnr4T/gbU45/srDE1tMGiybP9dPB7fvEx2PP7pWNF4XEVFFa9iHiP4ymFkZ6VDx8AYDnWbY/DkVdDQLPv7Vnm16TEO+XnZOLZjEbIzU2HlKKftLnHu1naWtN3nD66DoakNBpZou+s374GszBRcOPI70lMTYGrljGEz1ouPaXmoqtZARNg1XD+zHbk5WdCvZQHnBl5o3/eLKrmCuarG55lpiTi8eTYyUuOhoakLU+s6GDJ9IxxcW4vTPA4+h6NbJX39wb9Fz2ds23sqvPpUbT/WvMt45OXmwG/XQmRnpcLS3gODv5KNO61E3NaOjdF37CpcPLIGF4+I4u47fjUs7eVfza9I33GrcOHQKhzdPAvZWanQq2WJdn1noFG7qvte0rClqF07e/BPpBW1a2O/WS++3a28dm3sN3/h6D/LcPWMD/QMTdH387lo0ExyvufmvMHBLYuQ8voVaqhrwNTSAUMmL0fDlt1lPvvJA1F73tTrw7fnTVp3RUZ6Co7vX4+05ERY1nbC1Lm/wchEtAo9NTkBrxMlcRubWWHq3N+wb+svuHBqD/RrmWDw6G/RuIVkYisvLweHd/+OxFcx0KiphfqN2mD0Vz9BS1vyO1Fa6mts+XUe0pIToamlAytbF3w573e4ekgeMl61cXdDZnoqTuz/G2nJCbCo7YQpc38Xx52WnIjkxJdScVtjytzfcWDrClwsinvg6G/RSCru7gPGQyAQ4Oju35HyOh46eoZw9/RCn6FTZT774b3reJ0Yh5Yd+32QWKUpq/8moupBIKzqe8sQVdD+wKp7UGx1pir4OE/JjOyPc9mpmurHWd411D7OuPPy/x0P7q5seu1LX7zwMUgLeKjsLChFRPTH2X/bWv1nFnS/Ey2Nj7M9F+DjjDuv4OPsxwqFH2fcH+u4Jf/td+r+TzLS/TgD19Woviupq1JhWQ95/w9Le/Put/v8L/i02cf5e8v7yj6l+NaXJF/NbuOUnYVK93F+yyMiIiIiIiIiIiIiIlKAkydERERERERERERERERSOHlCREREREREREREREQkhZMnREREREREREREREREUjh5QkREREREREREREREJEVN2RkgIiIiIiIiIiIiIqo2BAJl54CqAa48ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSoqbsDBARERERERERERERVRsCrjkgrjwhIiIiIiIiIiIiIiKSwckTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpKipuwMEBERERERERERERFVGwKBsnNA1QBXnhAREREREREREREREUnh5AkREREREREREREREZEUTp4QERERERERERERERFJ4eQJERERERERERERERGRFE6eEBERERERERERERERSVFTdgaIiIiIiIiIiIiIiKoNFa45IK48ISIiIiIiIiIiIiIiksHJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSoqbsDBARERERERERERERVRdCgUDZWaBqgCtPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKTwmSdUbeUXfJz3Fiz8OMNGTfVCZWdBKXgLTfoYpAU8VHYWlEKvfV1lZ0Ep6lwOU3YWlESo7AwoRW7+x9qRfZxxCz/Oao4aah9n4B9reWvX/DgDz8j+OK+tzcqtqewsKIWK4OOs50RE7+rj7B2JiIiIiIiIiIiIiIgU4MoTIiIiIiIiIiIiIqJiAq45IK48ISIiIiIiIiIiIiIiksHJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSoqbsDBARERERERERERERVRsCrjkgrjwhIiIiIiIiIiIiIiKSwckTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpKipuwMEBERERERERERERFVF0KBQNlZoGqAK0+IiIiIiIiIiIiIiIikcPKEiIiIiIiIiIiIiIhICidPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKSoKTsDRERERERERERERETVhoBrDogrT4iIiIiIiIiIiIiIiGRw8oSIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIikcPKEiIiIiIiIiIiIiIhICidPiIiIiIiIiIiIiIiIpKgpOwNERERERERERERERNWGQKDsHFA1wJUnREREREREREREREREUjh5QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJERERERERERERERCSFkydERERERERERERERERSOHkCYOvWrTAwMFB2Nt5JVeQ5MjISAoEAwcHBlbpfIiIiIiIiIiIion8NFRW+3vX1H6Sm7AxUxKhRo7Bt27ZS73ft2hWnTp0qc1s7OztMnz4d06dPF783ePBg9OjRo7KzWcrWrVsxffp0pKSkVPq+CwoK8PPPP2Pbtm14/vw5NDU14eLigokTJ2L06NGV/nnVnVAoRMDh33Drwl68yUyDtUMD9ByxAKZWzmVuF3rzNM4dXIfX8VGoZVobnbyno57nJzJpbpzzwZWTm5CRkgATKyd0HzoXti5NZNIkvAjHmX2/IPJREITCQphaOmPglNUwMLKs1BjPH/odN6Vi7PX59zB7S4whQX7wl4qxc/9pcC0RY6C/Dy6f3IyMlASYWjmh+9A5sKsjiTHkph9uBuzFi8gQZGWkYMpCX1jY1lOYzx2rJuLJ/UsY8uWvcPXs/F5xB/r74NKJzchITYCppRN6DJPNW0nPHt7ASZ/liH/xFLoGpmjbYyyadfxMJk1IkB/O+kqOySf9p8G1ieSY/PJ1J6Qkvii17+adhqD35wsAADnZmfDbuwpht/2RlZECQ2MrtPhkOJp3GvJe8Spy/awPLp/YjPRUURn1LMdxOOGzHPGxRceh51g0lzoOr2KewN/3V8RGhiAl8QV6DP0OrbuNlNlHoP8uBJ7bjZSEWACAqZUTOvSbgjoe7aokRnmUEbe0C0f/ht++1WjVZQR6Dp9bqbFJk27DsrPSYOXQAD2Hl78NS06IgqGJ4jbs6qlNSC86v7sNkW3DMlITcWb/Lwh/cAXZb9Jh69IEPYbNh5GZnTjN6/go+O35GVFPbiE/PxdO9duix7D50NE3rtTjAFTdsYh8FISrpzbhRWQIMlITMHjqb6jXWLZ9Cr3lh1sBe/DieQjeZKRg4o8HYVFbfltXXdRq0wQOX4+FfuP6qGlpipv9p+DVEX9lZ6tclHF+Xzj6N0JunkFCXARq1KiJ2s6N0HXw1zCxsK+yOMtD2W1dVajuY7Mty0Yg8lGQzDb1m/XAwMmr/rVx52Rn4uy+lXh4RzQ2MTC2QvPOI9Cso2RscjNgD+5fP4a456HIyc7Ed7/fgKaW3nvFrEh179uqgjLO5WcPg3DpxGa8iAxBekoChk17//F3RXyM/fe1sz64dFxS3r2Gz4F9GeUdEXYDx6XK26vnWDTvJFveZw5IyrvnsO/QpkR557zJhN+BtQi9eRYZaa9haVsPvUbMhY2De5XFKY9QKMSFI7Ll3WNY+cr7/CFJeXf0no56jSXl/fxREK6elirvL35D3RLlfWjTd7h79ZDMe1YOHhg3b0+lxQdU7/Y8KyMF5w/9ivCQK0h7/RJaOoao27gTOn46DTW1dN87bmX87lCQn4ezvmvx+N5FJMfHoKaWDhxcW6LLwK+hZ2gq3sfhrT8gPOQa0lPioV5TC7WdGqHLwK9hYunwXnG/7TeRkp49vIFTu4rOZ0NTtOku/3eHso7JhWN/I+yWZFxq49QIXQbJjkt9N8zBnSuHZPZr7dAAExdUbn0nIol/7ZRQt27dEBcXJ/PatWtXhfalqakJU1PTtyesxn788UesWbMGixcvRmhoKM6fP4/x48cjOTn5g+YjNzf3g36eIpdPbMS101vRY9j3mLBgH3T0TbD9lzHIeZOhcJvop3ew78+ZaNCyDyYvOowGLftg758zEBN+V5zmQeAJnPJZina9JmHSwoOwdWmCf1ZNQEqS5If11/FR2LRkKIwtHDD62+2YvPAwvPpMhloNjUqN8dKJjbh6eit6Dp+PST/shY6+MbatGIucN5kKt4l6egd7/5wJj1Z98MWiQ/Bo1Qd7/piJaKkY7weewEmfZfDqPRGTF/nC1sUTO1ZNlIkxL+cNajs3wicDZ741n9f8tgGC94tVOm8ndi5D+94TMWWRL2zreGL7Stm8SXudEIPtKyfBto4npizyhVevCTj+zxKEBPmJ00Q9vYM9f8xEw1Z9MHXxITRs1Qe7SxyTyT/sw7drL4pfo2ZvAgC4Ne0mTnPCZxme3L+MARN/xrSlx9Gq60gc/+d/CLtd+T9a3rsuOg5efSbii0W+sHPxxLZfJsqd4Ck+Dtt+mQQ7F098scgXXr0n4PiOJXggdRzycrNhaGKDroNmKvwBXK+WOboOmokpC/dhysJ9cHBtgZ1rpuJVzJNKj1EeZcVdLCbiPoLO74W5TZ1KjUueKyc34prfVvQY/j3Gf/8ObdhfovN70sLD8GjVB/v+KtGG3TiBU7uWom2vSZj040HUdm6Cf1ZL2jChUIjdv32B5IQYDPnqD0z6wRcGRpbY/ssY5OZkAQByc7KwY+VYQCDAyNlbMXauDwoK8uCzbjIKCwv/NcciL+cNzGzqosfw7xXuJy/nDWycG6PzgK8rNaaqpKqthbR7jxAybZGys/JOlHV+P3sYhBadh2LSgt0Y/e0mFBbkY+vPY8X1XRmU3dZVlX/D2MzTayBmrbkkfvUeufBfHfepXcvw9MFleE/4GVOXHEfLLiNxcudPeCg1NsnLzYaTe1u07TXxvWN9m+rct1UFZZ3LuTlvYFG7DnqPmF8lcZXXx9Z/37t+Asf/WYYOfSfiy8W+sKvjia0ryijv+Bhs/WUS7Op44svFvujQZwKOlijv3Nxs1DK1QbdBM6GroLwPbJqPpw+uYtCk5Zi29DCc3Vtj07IxSH39qkriVERc3sO+x/j5+6CjZ4IdK99e3vvXi9q6ST+K2rr9f81ATISkvHNz38DMui56DFNc3gDgVL8tvl51SfwaNm19pcVWrDq35+kp8UhPiUfXwbMxZfER9Bu7FE/vX8LhLfPeO25l/e6Ql5uNuOehaN9nMiYvPIAhU9ch6WUkdq6dIvNZlnZu8B73P3y15DhGfr0BQqEQ234Zh8LCggrHXJ7fRKQlJ8Rgx6pJsHXxxORFvmjXawJO7Cz9u8PbjknkwyA06zgUE77fjZHfbEJhYT62/VJ6XOrs3haz11wUv0bMrPz6TkQS/9rJEw0NDZibm8u8DA0NAYgmEmrXrg0NDQ1YWlriq6++AgC0b98ez58/x4wZMyAQCCAQiH7RLXkLrB9//BENGzbE5s2bUbt2bejo6GDy5Mni1R3m5uYwNTXF//73P5k8rVq1Cu7u7tDW1oaNjQ2mTJmCjAxRRxoQEIDRo0cjNTVV/Nk//vgjANGEw+zZs2FlZQVtbW00b94cAQEBMvveunUrateuDS0tLXz66adISkqS+fvRo0cxZcoUDBw4EPb29vDw8MDYsWMxc6bkx+1Tp06hTZs2MDAwgJGREXr16oXw8HCFx7igoABjx46Fvb09NDU1UadOHaxdu1YmzahRo9CvXz8sXboUlpaWcHFxwaJFi+DuXvpKF09PTyxYsEDh51UWoVCI62e2o22vSXBt0gVm1i74dNwy5OVk4971Ywq3u+a3HQ5urdCu10SYWDigXa+JcKjXAtfOSFY5XfXbikbt+sPTayBMLB3Rfehc6NUyR9A5ycSd/4E1cG7ghS6DvoGFrStqmdrAxaM9dPSMKjXGa37b0a73RLgVxdh/fPlidHRrBa9eE2Bi6QCvXhNEMfptl8R4ehsat/NGE6+BMLV0RI9hohhvnNstTtOwdV906PsFHF1blZnPuKiHuHJ6Gz4d878y05XXlVPb4NnOG03ai/LWc9hc6Ncyxw3/3XLTB53bDQMjC/QcNhemlo5o0n4gGrfzxuWTm6XiLTomvYuOSe8JcHRtgaunJcdEW68WdA1MxK9HwQGoZVob9nWbitNEPw1GozZ94VCvGQxNrNC0wyCY29RB7LMHlRJ7qePg5Y2m7QfC1MoRPYeLjkPgOfnH4UbxcRg+F6ZWjmhafBxOSI6DtYM7ug/5Bg1a9IRaDXW5+6nXqAPqeHjB2MIexhb26DJwOtRraskM+KqSsuIGRFd77f3zG/Qbswia2lVzRW6x4jasXa9JcPUsasPGLkNebjbuByo+v6+f2Q5H11Zo21PUhrXtORH29VrgulQbdu30VjRu2x+e7SRtmH4tc9w8L2rDkl5FIib8LnqN+AFW9u4wtnBAzxE/IDc7E/cDjwMAop7cRkpiLPqNXQoz6zows66DfmOW4MWz+3gWdv1fcyycG7RDJ+/pcPXsonA/Hq36on2fL+Dg2rJS46pKCacv4vEPa/Dy0BllZ+WdKOv8HvXNBjRu+ynMrJ1hUbsu+o9fgpSkOMQ+C6mSOMtDmW1dVfm3jM1qqGtCV99E/KqMq3WVGXdMeDA8WveDfd3mMDS2RpP2g2FmUwexkZKxScsuI9G25wRYO3q8V6xvU937tqqgrHO5jkc7fDJgOtyaKu7fqtrH2H9fOrkNTaTKu/fwudA3Msd1Bd9TAs/thoGxBXpLlbenlzcuSpW3jYM7egz5Bh4te0JVTnnn5WYjJOgMun82C/Z1m8LYzBadvaeilok1Av0rdmFpRQiFQgSe3Y62PSehnmcXmFq7oF85yjvwrKS8jaXKO1C6vN3biVajlFHeAKCqpg4dfRPxS1PHoLLCA1D923Mzaxd8NvVX1GnYEbVMa8PBtQU69Z+BR8HnUVCQ/15xK+t3h5pauhj1zWa4N+sOEwt72Dg1RM/h8/EiMkRmEqNp+0Gwq9MUhiZWsLRzQ+f+05D6Og4pibEVjrs8v4lIu3F+N/SNLNCj+HcHr4Fo3NYbV05JzufyHJORs4rGpVaican32CVITYrDi0jZcamqmrrM7xNalVzfiUjWv3byRJH9+/dj9erVWL9+PZ48eYJDhw6Jf8j39fWFtbU1Fi1aJF6tokh4eDhOnjyJU6dOYdeuXdi8eTN69uyJmJgYXLhwAcuXL8f8+fNx/brkhyIVFRWsW7cODx48wLZt23Du3DnMnj0bANCqVSusWbMGenp64s+eNWsWAGD06NG4cuUKdu/ejXv37mHgwIHo1q0bnjwRXc0dGBiIMWPGYMqUKQgODkaHDh3w008/yeTX3Nwc586dQ0JCgsKYMjMzMXPmTAQFBcHf3x8qKir49NNPFV4pXFhYCGtra+zduxehoaFYsGAB5s6di71798qk8/f3R1hYGM6cOYNjx45hzJgxCA0NRVCQ5NYH9+7dw507dzBq1CiF+assyQkxyEhNgFP91uL31Gqow7ZOU0Q/vaNwu5jwYDi6tZZ5z7F+G0Q/DQYA5OfnIi4yBE4l07i1RnS4aL+FhYV4fC8ARuZ22P7LWPz8VSv8vXgQwm6fraToREQxJpaK0a5uU0SVEWP007twqi874eHs3lq8TX5+Ll5EhsjsFwCc6rcu89jJk5vzBvv+moVew+dD18DknbaVp6y8KYo56mlwqfTO9VsjNjIEBfl5AOQfk7L2mZ+fi7tXj6JxO2/xBCwA2Lp44uGd80h7/QpCoRARYYFIfBUJJ/c27xxrWRQeB/fWiHoiP8/RT4Ph5F7iOLjLHod3VVhYgHvXjyM3Jwu1nRpWaB/vQtlxH922GHUaepWqK1WhuA2Tbo/UaqjD7i1tWHR4MBxLnR9tEB0eDKDoGD4PKd3OuUnO74L83KLPk1yNraKiClU1dUQ9uSVJIxBATU3yJV6thgYEAhVxmspSVceCqhdln9/Sst+kAwC0dPQrvI/3UZ2ORWX6t4zN7l07iuVftsBv83rh9O7lZV5NXB7KjBsAajs3xqM755CWLBqbPAu7jqRXkXCqX7ljk/Ko7n1bZfuvnsvl9bH138Xl7Vyy/OorLu+op8FwLhGri3trxD4rf3kXFhSgsLCg1Co6NXUNRD6+/Q4RvJ+URMXlHRNednk7lDp3JW3du4h8dAMrprfCr3O74sjW75GZlvT2jd7Bv7E9z85Kh0ZNHaiqVvxu/dXtd4ecN+kQCASoqeD2krk5Wbh9yReGJtbQq2X+1vjkqUjeouX87uDk/vbfHaSPiTzF41JNbdlxaeTDG1j2ZWus+bYbDm3+HhmVXN+JSNa/8pknAHDs2DHo6OjIvPftt99CW1sb5ubm6Ny5M2rUqIHatWujWbNmAIBatWpBVVUVurq6MDcvuyEtLCzE5s2boaurC1dXV3To0AGPHj3CiRMnoKKigjp16mD58uUICAhAixYtAEDmOSr29vZYvHgxJk+ejD/++APq6urQ19eHQCCQ+ezw8HDs2rULMTExsLQU3XN51qxZOHXqFLZs2YIlS5Zg7dq16Nq1K7777jsAgIuLC65evSrzfJdVq1ZhwIABMDc3h5ubG1q1aoW+ffuie/fu4jT9+/eXiXHTpk0wNTVFaGgo6tevX+oY1KhRAwsXSm5XYG9vj6tXr2Lv3r0YNGiQ+H1tbW1s3LgR6uqSH9K6du2KLVu2oGlT0ZX5W7ZsgZeXFxwc5N93MicnBzk5OTLv5eWqo4b6u9/qKiNVNIGkXeJqQh19I4XLpkXbJZa6AlFHz0i8v6z0ZBQWFsjdb8aDRABAZnoScrOzcPn4BnT8P3t3HR3F9bcB/Nlk4+7EiBskuAV3p7gUimtpi7UUaIEW2h9QipVSvLi7W3AJEtxCgEAICYS4E9/3j01WsrsRSNj05fmcswd2cmf2fufO3Lkzd+ZOj/Fo0+cHPH9wCTuXfYchP26Es3e9UsejKq/i/Mk/vm1obKHyUdKC+QwKzWNgbClZXnpKIvLycpUuNyU/TUkd3z4Pld1rwKdWq1LNp4okb4UeWTcwsZDkv7DUpFgYmBQuL0vk5eYgPTUBRqbW4nIvtExDE0uVywy+dQYZ6Smo1bi73PROX/2EA+tmYv7E5tDQFEIgEKDbsN/g7Fm7lJEWTdV6EG+ryvOckhgLDz/l6yEtNQHGpiUftjDq9VOsmv0lcrIzoa2rjwHj/4a1vXvpAykldcZ9/9pRvHn1GF//uvvDMl9KqcnK6zADYwskFbt/K84jW4eJ8nIV9gkDmXVoWckVJhZ2OL1nEboMngUtHT1cPbkBqUkxSE0UL8fBtQa0dfQQsHsBWvWcCECEgN0LIBLlSX6rrJTXuqCKRd31WgGRSIRj2/6Ak2dt2Dh4lnr+slBR1kVZ+y+0zfz8u8DM0gGGJpaIjnyG03sWIep1CAZPXocPpc64AaDDgJ9xaP0MLJzUTNI26Tr0dziVcdukJCr6sa2s/X/dl0vqczt+qzyHMlF9DpWSFAvDwucpxqUrbx09A1R2r4GzB1bA2s4NhiYWuHf1KCJC78PCxunDAyqlgvIpXG+VpLyV1nXJpStvd7+mqFKnPUwt7JAQG4FzB5Zi459DMGrm3jJ72vK/Vp+npybgwuEVqNO8b8mDVJF/cZ7Vf90hOysTp3Yvgl+DztDVk78WeP3MNpzatRBZmemwtHXFkMn/yt3oVRofkjfl5ax43aGodVKYSCTC8e2K7VKPak1QtW47mFraISEmEmf2LcX6P4bg61/LbnsnInn/2c6TFi1aYMWKFXLTzM3NkZaWhiVLlsDV1RXt27dHx44d0aVLFwiFpQvV2dkZRkbSR/VtbGygqakJDQ0NuWnR0dGS7+fOncOcOXPw+PFjJCcnIycnBxkZGUhLS4OBgYHS37l9+zZEIhE8PeVP0jMzM2FhIa58g4OD0b27/IVaf39/uc6TKlWq4OHDh7h16xYuX76MixcvokuXLhgyZAjWrl0LQNxRM2PGDFy7dg2xsbGSJ07Cw8OVdp4AwMqVK7F27Vq8evUK79+/R1ZWFmrUqCGXxs/PT67jBABGjhyJYcOGYdGiRdDU1MTWrVuxcOFCpb8BAHPnzpXrqAGAnsNmotfwX1XOU+D+1cM4vPEXyfcBE1YCgNxTAQAgEilOK0zZ3wWFXtihdLn5aUT569S7Zks0bDcEAGBb2Qevn99B0PkdH9x5ci/wMA5t/FXy/auJK/LzIp9OJBKhuBeMKMQoEinEWPirSFmaIgTfOYsXwdcwdta+Es9TYoWzIS7YIpIXLi+RkgUpplG1rdy6uBce1ZrIvaQOAK6d2oKI0Hv4asJymFrYISzkJg5vmg0jUyu4Vy37pxUUVgOKWQ9Kyl28nNK9kMbS1hnf/r4P79NS8OjmKexZPQ0jf9r0STpQgE8fd2LcWxzZMhdDf1z7QZ25JXH/6mEc3lR8HZY/schlKcQlEk8tNk3+cjWFWuj7zVIcXD8df3xXHwINTbhW8Ye7X1NJcgNjc/T+egmObp6F62c2QyDQgF/9TrB1qgKBhmaR+SvOp14XVLGoq14rcHjTb4h6HYJR07d+0PxlSd3r4mP9F9tmdZpJbwyycfCEhY0TVs3qhTdhj2DnXLXIPBaoSHEDwPWAzYh4cQ/9xy+HiYU9XoUE4cjmWTA0sYJbObRNZP3Xjm3l5b++L5cUj9/5lJynFLWvK5ynoPTl3WfMH9i75mfMHdcMGhqasHOugur+nfEm7HGJl1Fa968dxhGZ8u4/XlzehctWJFKcpqDwPOKJpcqPb72Okv9bO3jCztkXS35shWf3zxc73Jcq/+X6PON9KrYuHgMrOzc07/pNkXkrrKJed8jNycauFd9DJMpDl0GKQ8FX9+8C96oNkZIUg8vH12PnPxMx4udtH3f+VtprIgrbsuJ1hxKtk3xHNv+Gd69DMOJn+XapX33p9m7j4Al7l6pY+H1rhNw7j6p11Ddc4/9XouLqMPos/Gc7TwwMDODurnixztzcHCEhIQgICMDp06cxduxY/Pnnn7hw4QK0tLRKvPzCaQUCgdJpBR0Qr169QseOHTFmzBj89ttvMDc3x+XLlzF8+HBkZ6t+7DYvLw+ampq4desWNDXlLzoVPFkjvdhbNA0NDdStWxd169bFxIkTsWXLFgwcOBA///wzXFxc0KVLFzg6OmLNmjWws7NDXl4efH19Vb7kfdeuXZg4cSIWLlwIf39/GBkZ4c8//8T169fl0inrGOrSpQt0dHSwf/9+6OjoIDMzU+HJF1nTpk2Tez8LABy8XbJec68aLWDvWk3yveDR/NSkWBjJ3LGTlhyncEeHLEMTS4U7CVKT42CQf8eYvpEZNDQ0Fe4MSEuOk9ztpm9kBg1NIazs5LdNS1u3jxoWwLtmSzi4SWPMyY8xpXCMKfEKdzDJEj9RIX8nT1qKbP5NlcdYzHILe/n4GhKiX2PO2Ppy03csGw8nz9oYPm2TijlVk+QtsfD6j1f5PhllT5CkJcdBQ1MoGRdU6TpRsa0kxEYi9NFV9B+3VG56dlYGAvYsQf9xS+FVozkAoFJlL7wND8aV4+vLtPOkYD0U3laLWg9Gpsq3bdn1UFJCobbkTjYHV19EvniAwFOb0W3orGLm/DjqivtN2COkJcdh+cxekml5ebkIC7mJa6e3Yda6e9D4yA6D0tRhRb07ydDEEqnJhffdOMldr/pGZhAo3b/ll2vn7IuvZx1ARnoKcnOyYWBsjjW/9YGds7ST3d23Mcb/EYC0lARoaGpCT98Yf05oDF9Lhw9YA1Kfal1QxaLueg0ADm/6HU/unMOInzfD5AOHeSgLFWFdlIX/D20zW6eq0NTUQvy7VyXuPKlIcWdnZeDM3iXo993f8KzeHABQydELUeFPEHhiXbl3nvwXj21l6f/LvlxSn/vxW9U5VGpR5a1kPy98nlISFjaVMWr6ZmRlpCMjIxXGptbYtmwizKzsSx1HSXlVbwGHXxTPTQuXd3pKCcpbyToofMd/aRmZWsPUwg5x71598DL+q/V55vtUbFk4Atq6+uj33TJoCkt+DQyomNcdcnOysXP5RCTERmDYlPUKT50A4vej6OobwaKSMxzcqmPO2AYIvn0a1Rp0KmHkUh9yTeSDrzvIrBNZRzb/jid3z2HEtOLbpUam1jCxtP2o7Z2Iivb/7p0nAKCnp4cvvvgCS5cuxfnz53H16lU8ePAAAKCtrY3c3Nwy/82bN28iJycHCxcuRIMGDeDp6Yk3b+QfY1T22zVr1kRubi6io6Ph7u4u9ykY3qtKlSpy71YBoPBdmSpVqgAQv+skLi4OwcHBmD59Olq1agUfHx8kJCQUOf+lS5fQsGFDjB07FjVr1oS7u3uRL5iXJRQKMXjwYKxfvx7r169Hv379oK+vrzK9jo4OjI2N5T4lvUtAR88QFjZOko+VnTsMTawQ+ihQkiYnJwuvQoLg6F5T5XIc3Grghcw8ABD66Aoc89/nIBRqw9a5qtxyAeDF40A4utWUpLF39kVs1Eu5NHHvwmBqYVeieJTHaCAXo7WdOwxNLBViDHsShMpFxOjoXh3PC+X/+cNAyTxCoTbslMQY+iiwyHVXWJNOI/HNbwcwdvY+yQcAOvSfih4j5pR4ObIK8qaQ/0eBKmOu7F5DSbxXYO9cVdKQdHSvrhCv7DqRdfvSfhgYm8OzejO56bm5OcjNzYZAIF+lCjQ0Vb5T6ENJ1sNDJXn2UL4eHN1rKEkvvx4+lAhATrbyDtiypK643ar4Y9ycg/j2932Sj72LL6r7d8a3v+/76I4ToIg67HGh/buYOszRrYbivvvwChzdagDIX4dOVeWWC6jev3X1jWBgbI64d2F4E/YQXjVbKqQxMDKDnr4xXgRfQ1pKHLxqtChN6Ao+1bqgikWd9ZpIJMKhTb/h0a0ADJu6HuZWH9cB+LEqWh3/of4/tM2iI58hNzcbhqV4b1tFilt120QDIlHZtk2U+S8f28rC/5d9uaQ+9+N3QXk/K0V5V1ZS3s8eXIG9y4eVt7auPoxNrfE+LQnPHlxBlTIaOlkZHT1DmNs4ST4F5f1Cprxz88vbwa3o8n5RaN99IVPXfaj01AQkxb/9qPdu/hfr84z3qdi0cDg0hVr4ctxyaGmV/qmLinbdoaDjJO7dKwydvA76hmYljET0weeoH3JNxNFdse5Sdt2hqHUCiNulRzb/hse3AjDsx/UwK0G7ND01AclxUWXynlkiUu4/++RJZmYmoqKi5KYJhUIcOXIEubm5qF+/PvT19bF582bo6enByUl8p7SzszMuXryIfv36QUdHB5aWZXMXi5ubG3JycvD333+jS5cuuHLlClauXCmXxtnZGampqThz5gyqV68OfX19eHp6YsCAARg0aBAWLlyImjVrIjY2FmfPnoWfnx86duyIcePGoWHDhpg/fz66deuGU6dOyQ3ZBQC9evVCo0aN0LBhQ1SqVAkvX77EtGnT4OnpCW9vb2hoaMDCwgKrV6+Gra0twsPDJe9QUcXd3R2bNm3CyZMn4eLigs2bNyMoKAguLi4lWicjRoyAj48PAODKlSulWJsfRyAQoEGbQbh0ZBUs8ht0l46sgpaOLqo16CxJt2/NFBiZWqNN7+8BAA3aDMT6eQNx6egaeNdqhSe3z+DF46sYPk36mGTDtkOwb80U2Dn7wtG9Bm5e2IWkuLeo26KfJE2jDsOxe8UkOHnVgYt3fTx/cAlP757DkCmlf9qiqBj92w7CxcOrJQ2bC0dWK8S4Z/UUGJvZoG1v8VM9/m0G4d+5A3Hx6Br41GyF4DtnEPr4Kkb8tEUaY7vB2Lt6qjTG8+IY67WQjpeanpqIpLi3SEkUD1tXcEHC0MQSRqZWkk9hJua2JWoAqNKo/WDsWTUV9i75eTuXv/5bivN2atciJCe8Q6/RfwAA6rbsh2unt+HYtnmo07w3Xj+/i1sX96HP1wuk8bYdhLVzFNfJyJ+3yP12Xl4ebl/ah5qNuym8dE9XzxDO3nVxYuefEGrrwtTSDmFPgnD3ykF0+HLKB8dbkvVQ2b0GggrKKH89nMxfD73z10O9lv1wLWAbjm0Vr4fw53dx68I+9BkrXQ85OVmIjhR3jubmZCM5IRpvXgVDR1df8qTJqd2L4VmtCUzMbZGZkYb7147hZfANDJm8usxjrChx6+gZKLz7QFtHD/qGpuX2TgS5Osw6vw47ugpa2rrwqy9fhxmbWaN1L3EdVj+/Drt8bA28arZCyJ0zeBF8FcOmSusw/3YydZhbDdy6sAtJ8W9Rp7m0DnsUdAL6RmYwMbdDdORTHN/2P3jXaiX3Qso7l/bC0s4NBkbmeB16Fye2/Q/+bQbD0lb5e60q4rrIzEhDfHS45HtibATehgdDz8BEckE1PTURSfHSui5Otq4zqZgnKJoG+jBwryz5ru/iAOPq3siKT0LG67dqzFnR1FWvHdo4G/evHcVXE5ZBR9cAKfnvP9DVN4KWtu6nXAUS6loX5amit83io8Nx/+pheFRrCn0jM8REhuLkzj9gW7kKKnvU+k/GratnCGevuji1608ItXVgamGPsJAbuBd4EO36Sc8BUpJikJoUi/h34vowOuIptHUNYGJuW6ZPO/wXjm1lTV37cmZGGuLeSY9vCTERePMqGPoGJjC1/PCbuUrjczx+N+kwGLtWToVDfnnfOLcLiXFvUb+VuLxP7BSXd58x4vKu37IfrgZsw5Gt81Avv7xvXtiHft8UX97auvqwzC/vp/cvQwQRrCq5IO7dKxzfsQCWlVxQu2n3colTGYFAgPqtB+HS0VUwt3GChbUTLh1TLO/9a6fAyMwarXvml3frgVj/h7i8vWu2wpP88h4qU95Zhco7ITYCUfnlbWJhh6yMNJw/uAw+tdvCyNQKibGROLNvMfSNzOBds3WZxliR6/PM96nYvGA4srPeo+eoP5GZkYrMjFQAgIGR+Qff8KXO6w65uTnY8c8EvHn1GF9NWIG8vFxJO03P0ARCoTbio1/jwY3jcPdtBAMjMyQnvMOlo/9CqKUDz+ofPjRjcXk7tTv/usOo/Pq7RT9cP70Nx7fPQ+1m4usOty/uQ+8x0v25JOvkyObZuH/1KPqPXwZtJe3SzIw0nDvwD6rUaQMjE2skxkYiYK94e69Sq80Hx0tERfvPdp6cOHECtra2ctO8vLwwb948zJs3D5MmTUJubi78/Pxw+PBhyftDZs+ejdGjR8PNzQ2ZmZklHhKrODVq1MCiRYvwxx9/YNq0aWjatCnmzp2LQYMGSdI0bNgQY8aMQd++fREXF4dffvkFv/76K9avX4/ff/8d33//PSIjI2FhYQF/f3907Cgey7BBgwZYu3atJH3r1q0xffp0/Pbbb5Jlt2vXDtu3b8fcuXORlJSESpUqoWXLlvj1118l73vZsWMHxo0bB19fX3h5eWHp0qVo3ry5ypjGjBmDu3fvom/fvhAIBPjyyy8xduxYHD9+vETrxMPDAw0bNkRcXBzq169f/AxlqHHHEcjJzsCRzbORkZYEe7dqGPj9v9CRecQzKe6N3JiTlT1qodeYhTi77y+c278UZtaO6D1mERzcqkvS+NbviPS0RFw49A9SkmJgbe+BARNXwdRS+li0T+026DzoV1w6uhrHt/4PlpVc0PebpWX+cs4mHUcgJysThzfNRkZaMhzcqmHwD2uhoycdRi0p7i00ZO5QqexRE72/Xogze//C2X1/w8zaEX2+XghHmRj96ndEemoizh9cjpSkGNjYe2DgpJVyMT65cw77//1J8n3XCnHjsEXXb9Cy+7dlGqesgrydO7gcKYnSvJnl5y0lKQaJ8dKLg+ZWDhj0/Uoc2zYP189sg5GpNTp99ROq1pWOBVrZoyb6jF2I03v/wpm9f8Pc2hF9x8qvEwAIfXQVSXFvUbtpD6V56/v1QpzavRi7V07G+7QkmFraoU2vCajXsp/S9B+jWoNC68HBA4O+l1kPiTFIipNfD4N/WImjW+fh2pltMDa1RqeBP8FXZj2kJMTgnxnS2C4fX4fLx9fBxbsuRvwkvriUmhSL3aumICUxBrp6Rqjk6Ikhk1fD3bdRmcdYkeJWh0YdRiA7KwNHt8zG+7QkOLgqqcPi30CgIVOHuUvrsLP7l8Lc2hG9Ctdh9cTr8MKhf5BaUIdNkK/DUhKjcXLHPKQmx8HI1ArV/bui6Rdfy+UvNioMp/culmzrTTqPgX/bIf+pdfEm7CE2zh8s+X5yxzwAQPVG3dB9uPj/IXfP4uA6aV23Z6X4hLDZF9+gRbfvyiXej2VS2xf+ZzZLvldZIM7/6037cH/4NHVlq1jq2r9vnN0BAFg7R7otAEDPkXNQq8mnu/Ak6/9rXVeR22aamlp4EXwV1wI2ISszHSbmtvCo1gzNu37z0U8YqjPuXl8vwuk9i7B3VX7bxMIOrXpOkOtYunluB84f/Efyfd3crwAA3YbPQc3Gyts8H6qiH9vKmrr25ciXj/DvXGmddmyb+OJezcbd0GvU3HKNWdbndvyu1qAj0lITceaAtLyH/CBf3omy5W3tgCEF5X1aXN5dlJT339Ol5X3p2DpcOiYu71E/i8s7430KTu5ajKT4KOgbmKBq3bZo13vCJ39aqVEHcV13TLa8Jykpb5m6ztG9FnqNXoiz+//CuQP55T16ERxcC5X3n9LyPrUzv7wbdkO34fMg0NBEdORT3Lt6EBnpKTAysYKzdz30GrNY7rfLQkWuz9+8eoSIF/cAAH9NkX/vxYQ/T8PsI4bWVdd1h+T4d3hy5ywAYPlM+TbZsCkb4eJTD0ItHbx6ehNXT21CRloyDEws4OxZByOnby9yyLjiFJe31EL1t5mVAwZOWonj26XXHToOULzuUNw6KWiXrpsn3y7tPlzcLtXQ0MS7iKe4e0W8vRuaWsLVuz76fr1IrjyIqGwJRGXVe0BUiEgkgre3N0aPHq3wPpOS2BH4eW6aGoLPM+7P9T1cn2vcn6vsHBb458S4ube6s6AW7y8HqzsL9Anl5LJe+5x8rmeOWsLPM/DPtd2io/V5lndG1udZ3hr/LwezL97net3hc9XH/zPd0D9SWuA+dWfhP8egYdnefFMR/GefPKGKLTo6Gps3b0ZkZCSGDh2q7uwQERERERERERERlYyAnU7EzhMqJzY2NrC0tMTq1athZlbSl3oREREREREREREREakfO0+oXHA0OCIiIiIiIiIiIiL6r+LzR0RERERERERERERERDLYeUJERERERERERERERCSDnSdEREREREREREREREQy+M4TIiIiIiIiIiIiIqJ8IgGfOSA+eUJERERERERERERERCSHnSdEREREREREREREREQy2HlCREREREREREREREQkg50nREREREREREREREREMth5QkREREREREREREREJEOo7gwQEREREREREREREVUYAoG6c0AVAJ88ISIiIiIiIiIiIiIiksHOEyIiIiIiIiIiIiIiIhnsPCEiIiIiIiIiIiIiIpLBzhMiIiIiIiIiIiIiIiIZ7DwhIiIiIiIiIiIiIiKSIVR3BoiIiIiIiIiIiIiIKgqRgM8cEJ88ISIiIiIiIiIiIiIiksPOEyIiIiIiIiIiIiIiIhnsPCEiIiIiIiIiIiIiIpLBzhMiIiIiIiIiIiIiIiIZ7DwhIiIiIiIiIiIiIiKSIVR3BoiIiIiIiIiIiIiIKgyBQN05oAqAT54QERERERERERERERHJYOcJERERERERERERERGRDHaeEBERERERERERERERyWDnCRERERERERERERERkQx2nhAREREREREREREREckQqjsDREREREREREREREQVhoDPHBCfPCEiIiIiIiIiIiIiIpLDzhMiIiIiIiIiIiIiIvqkli9fDhcXF+jq6qJ27dq4dOlSiea7cuUKhEIhatSoUa7547BdVGHl5ak7B+qRnfd59mkKNUXqzoJaOJqlqzsLavHsnYG6s6AWejqf53YeGv55Vuhel4PVnQW10Gvso+4sqIXd4yvqzoJa3Hltqe4sqEVK2udZn5sZC9SdBbV4GfF5HscyMnLUnQW16NUwUd1ZUAsjjWR1Z0EtgpOc1J0FtYhN0VJ3FtRCW+vzPH4TVVQ7d+7EhAkTsHz5cjRq1AirVq1Chw4d8PjxY1SuXFnlfElJSRg0aBBatWqFd+/elWseP8+rtEREREREREREREREpBaLFi3C8OHDMWLECPj4+GDJkiVwdHTEihUripxv9OjR6N+/P/z9/cs9j+w8ISIiIiIiIiIiIiKiD5aZmYnk5GS5T2ZmptK0WVlZuHXrFtq2bSs3vW3btggMDFT5G+vXr0doaCh++eWXMs27Kuw8ISIiIiIiIiIiIiLKJxII+CnlZ+7cuTAxMZH7zJ07V+n6jY2NRW5uLmxsbOSm29jYICoqSuk8z549w9SpU7F161YIhZ/mbSR85wkREREREREREREREX2wadOmYdKkSXLTdHR0ipxHIJB/p55IJFKYBgC5ubno378/Zs2aBU9Pz4/PbAmx84SIiIiIiIiIiIiIiD6Yjo5OsZ0lBSwtLaGpqanwlEl0dLTC0ygAkJKSgps3b+LOnTv49ttvAQB5eXkQiUQQCoU4deoUWrZs+fFBFMJhu4iIiIiIiIiIiIiI6JPQ1tZG7dq1ERAQIDc9ICAADRs2VEhvbGyMBw8e4O7du5LPmDFj4OXlhbt376J+/frlkk8+eUJERERERERERERERJ/MpEmTMHDgQNSpUwf+/v5YvXo1wsPDMWbMGADiYcAiIyOxadMmaGhowNfXV25+a2tr6OrqKkwvS+w8ISIiIiIiIiIiIiKiT6Zv376Ii4vD7Nmz8fbtW/j6+uLYsWNwcnICALx9+xbh4eFqzaNAJBKJ1JoDIhW2Xf48N83cPMWXIn0OhJqfZ3k7mqWrOwtq8eydgbqzoBZ6Op/ndh4anqfuLKiFl8vnWZ/rNfZRdxbUwu7xFXVnQS3uvLZUdxbUIiXt86zPzYw/z3otIipX3VlQi4yMzzPuXg0T1Z0FtTDSSFZ3FtQiOMlJ3VlQi9gULXVnQS20tT7P43e/hp/n8ftjJd8OKD4RyTGu1UbdWShzfOcJERERERERERERERGRDHaeEBERERERERERERERyWDnCRERERERERERERERkQx2nhAREREREREREREREclg5wkREREREREREREREZEMobozQERERERERERERERUUYggUHcWqALgkydEREREREREREREREQy2HlCREREREREREREREQkg50nREREREREREREREREMth5QkREREREREREREREJIOdJ0RERERERERERERERDKE6s4AEREREREREREREVFFIRLwmQPikydERERERERERERERERy2HlCREREREREREREREQkg50nREREREREREREREREMth5QkREREREREREREREJIOdJ0RERERERERERERERDKE6s4AEREREREREREREVGFIeAzB8QnT4iIiIiIiIiIiIiIiOSw84SIiIiIiIiIiIiIiEgGO0+IiIiIiIiIiIiIiIhksPOEiIiIiIiIiIiIiIhIBjtPSKJ58+aYMGFCuSzb2dkZS5YsKZdlExERERERERERERGVJaG6M0BlZ8iQIdi4caPC9Hbt2uHEiRPFzr9v3z5oaWlJvjs7O2PChAnl1qFSnkQiES4cWoZbF3YhIz0Z9q7V0HHATFjbexQ53+ObJ3HuwFIkxITDzKoyWvaYAJ9abSR/fxUShMCT/+JN2COkJsWg7zfL4F2rtdwyZg33Vrrs1r0no1H74R8fXBFEIhEuHl6GOxd3IiM9GXYu1dGh/0xYFRN38K2TuHDwL0nczbtNhLdM3FeOrcKT26cQF/UCQm1dOLjVRKueP8Cikqskze8jvZQuu1WvyfBvN6JsAlRBJBLh/EH58u70VcnK++x+aXm36jEBPrWlcYeFBCHwhEx5f7sMPoXKW9bhjTNx68IutOs3Df5tB5dZfCV19vgunDywCYkJsbB3dEW/4T/As0otpWkT42Owa8NihIUGI/ptOFp16ocvh0+WS3Ph1D5cPX8EkeGhAAAnNx/0GPAtXD19yz2WoohEIlw+sgz3Lou3c1vn6mj75UxY2RVd3k9un8SlQ38hMTYcppaV0bTrRHjVbKM07dUTq3DhwCLUaTkIrfv8LJmelZGG8/sX4tm903iflggTC3vUbjEQtZr1L/MYC7bp92nJcHCthk4DS75Nx0eHw9xacZsGgBtnt+HK8X+RmhgDK3t3dOj/E5w860j+/stQ5XVYmz6T0biDuA67eX4nHlw7grevHiMzIw1T/7kBPX3jj4y65Jr4ClDTTQBdLeBNPHDiZh5ik1WntzQGmvlpoJI5YGogwKnbeQh6KlJIZ6QHtKgugJutAFqaQHwKcORGHqISyjEYJa6d3obLx9YhJSkG1vbu6DRgGpy96qhM//LJDRzb9geiI5/DyNQaTToNR/2W/SR/fxfxDGf2/Y3IsEdIjH2Djv2nolF7+TrqwuHVeHQzADFvX0BLSxeVPWqiXd/vYWXrUm5xliXzxnXg+v1wmNTyha6dNW72HIt3h86oO1sf7NTRfTi8bxsS4+PgUNkFg0aOg49vDaVpE+JjsfnfZXj5/Ami3kSgfZdeGDxqglyaWVO/RfDDOwrz1qzjjym/LiiHCEpGJBLhylH5+rxNv+Lr85DbJ3HpsHx97llDWtddPvI3rhxdJjePgbElvv3jilya4JtHkZIQBQ1NLVSqXBVNu06EnUv1sg2yBEQiEYJOLcPj67uQmZ4Mm8rV0LTHTJhXUr0e4qOe4cbJpYiJeISUhDdo9MU0VG8qv1+/CQ3CnfP/IibyEdKTY9B+yDK4+qpux5Q3kUiES4eX4c4laTu1ff8SHL9vncSFQ9J2arNuE+Etc/y+dX4bbl/YjsS4SACAlZ0HGncaC3e/ZpI0h9dPxf2r++WWa+dSHUOn7SrDCEuuSVUBasgcx07eKv441tRXehwLuKN4HGtSVYAmvvL3Rqa+F2HpobzyCOGDtKiuidqeGtDTBiJiRThyPRcxiYrH4wJWpgK0rKEJOwsBzAwFOH4jB1eD5ePREAAtamiimosGDPWAlPfA3ee5uHA/D6qX/OmcPLofB/dtz6/PnTF05Dj4+CqvZxLiY7Hx33/w4nkIot5EoEOXXhg6apxcmpycHOzfvRkXzpxAfFws7OwdMWDo16hZu/6nCKfEDh85gj179yE+Ph5OTpUxZtQo+PoqP4e4fOUKjh49hhcvXiA7OxuVnZzw1YD+qFO7tly61NRUbNi4CVcCA5GamopKlWwwcsQI1Ktb91OEpJjvUztw7sh6JCfGoJKDO7oNmgI379oq0z9/HISDW/5EVMRzGJtZo2XnoWjUpq/k7zcuHMD2ldMV5pu/8Ra0tHUAAKHBN3H2yHpEvHiM5MQYDJv0F/zqtir74Iqhzvr84qG/8TjoKJIToqApFB+/m3ebCHvXsj1+q/N8LDMjDad3L8STO2eQnpoIU0t71G89EPVafilJo+7zsc+FSCBQdxaoAuCTJ//PtG/fHm/fvpX7bN++vUTzmpubw8jIqJxz+GlcOb4WV09tQMcBMzBy+m4YGlth88JhyHyfqnKe18/vYM+qSajm/wXG/HoQ1fy/wJ6VExHx4p4kTVbWe9g4eKPjgBkql/P9oktyny+G/g8QCFCldtsyjVGZqyfW4HrAerTvPxPDft4DQxNLbF08FJkZquOOCL2Dfasnwq9BV4yceRB+Dbpi3+oJiJSJ+9XTG6jTYgCGTtuFARPXIy83F1sXD0dWZrokzYQFl+U+nYfMAQQCeNdqV64xAzLl/dUMjJyxG4YmVti0oPjy3r1yEqo3/AJjZh1E9YZfYPfKiYgIlcadnfkeNo7e6PiV6vIuEHz7NCJe3IeRqXWZxFRaNy6fxI51C9Cp13D8snAbPKrUxJLfvkNczFul6XNysmFobIbOvYbDwdlTaZqQR7dQr0l7TP5tNX6atwHmlpWwaNZYJMRFl2coxbp+ag2CzqxHm34zMXiqeDvf+VfR23nkizs4uHYifBt0xbDpB+HboCsOrpmANy/vKaR9G3Yfdy/thJW9Yofgmd1z8eLxJXQe+idG/HIMdVsNQcDO3/H07ukyjfHysbW4elJch42aWYpteoW4Dvt6trgO27VCfpt+eP0YTmybi6adx2DMrP1w8qyDLYtGITHujSTND0suyX26DfsfBIXqsOysDLj7NUGTzqPLNO6S8PcWoL6XACdv5WF9QB5S34vQv4UGtIu4HURLCCSkinDungip75VfStHVAga11kBeHrDzQh5WHc/D6bt5yMgup0BUuH/tGI5tnYdmX4zGN7P3wdmzNjYuGI3E2DdK08fHRGDjgjFw9qyNb2bvQ7Muo3B08xw8DDolSZOdlQEzK0e06zMJhiaWSpfz8kkQGrTujzEzd2DolH+Rl5uDDfPl6/mKTNNAH8n3Q/Bo/Gx1Z+WjBV48jY1r/kL3PoMwb+l6eFethnm//oDY6Cil6bOzs2FsbIrufQbDycVdaZrvf56DlZsPST5//rMZGhqaqN+4RXmGUqyC+rx135kYNGUPDIwtsWtpCerzfyeiav2uGPrzQVStr7w+t7T1wDfzLks+w6Yflvu7ubUz2vSdiWHTD2PAD9tgYmGPnUuHIT0lvlxiLcqdc2tx7+IGNOk+A73G74a+sRUOrR6GrCLWQ3ZWBozNHdGg4/fQN7JSkeY9LO280aR78e2YT+HqyTW4fno92n05E0N/2gNDY0tsK0k7dY34+D1ihvj4vX+VfDvVyKwSWvT4AcN+3othP++Fk1cD7F7+DWLePJNblmvVJhj/52XJp9+41eUWa1EaeAtQz0uAU7fysOF0HtIyRPiyefHHscQ0Ec4XcRwDgJgkEf46mCv5rD1ZcTpOGvtqwL+KBo5ez8GqozlIfS/C4DbCouPWBBJSRAi4lYuUdOVxN/bVQB1P8XL/PpCNU7dy0MhXE/V91H+p48rFM1i/Zil69hmI+Uv/hU/V6vjfr5MRE/1OafqC+rxnn0Eq6/Mdm9cg4PghDBs9AYtXbEabjl3x5/9+wsvQp+UZSqlcuHARq1avQb++ffHP30vhW9UX02f+guho5ecQDx8+Qq2aNTF79iz8vfQvVK9WDb/Omo3noaGSNNnZ2Zj283S8i36H6T/9hLWrV2P8uHGwtLD4VGHJuXP1OA5smoc23Ubih7m74epVC6vnjUFCrPJzr7joCKyZPxauXrXww9zdaNN1BPZvnIt71wPk0unqGWLWivNyn4KOEwDIynwP+8pe6Dn0p3KNrzjqrM/NbZzR7suZGPnLYQz6cRtMLO2xfckwpJXx8Vud52Mnts/D84eX0WPUfHw75yj82w7G8a2/48lt6Y1B6jwfI/rcqL9FQWVKR0cHlSpVkvuYmZnh/Pnz0NbWxqVLlyRpFy5cCEtLS7x9Kz7Ayw7b1bx5c7x69QoTJ06EQCCAQKa3NTAwEE2bNoWenh4cHR0xbtw4pKWlSf4eHR2NLl26QE9PDy4uLti6deunCT6fSCTC9dOb0KTTGPjUbgtrB090Gz4P2VkZeHD9iMr5rp/eBLcqDdGk02hY2rqiSafRcPFpgOsB0qd5PPyaip9GKaIjxNDESu4TcucsXLzqw8zKsUzjLEwkEuHGmU1o3HEMvGu1hbW9J74Y+geyszLwsIi4b5zeCNcqDdGo42hY2rqhUcfRcPZugOunpXH3n/AvqjfqASt7D9g4eqPL0LlIjn+Dt68eqYz76d0zcP5EcV8L2ISmncegSu22sHHwRPcSlPe1AGl5W8mU9zXZ8q7WFK16TCi24ys54R2Obf0NPUf9CQ1N9TzQd+rQVjRp1Q1N23SHnaMrvhw+GeYWNjh/Yo/S9JbWdug/YjIatugMfX1DpWlGTfwfWnbog8ouXrB1cMGQsTMgEokQfP9GeYZSJJFIhKAzm9Cwwxh41WwLK3tPdBos3s4f31Bd3kFnNsLFpyH824+GRSU3+LcfDSfvBgg6I/+0XlZGGg6tm4wOX/0OXX0TheVEvrwLvwbd4ORVH6aWDqjRpC+sHbwRFf6wTGO8FrAJTTqPQZU6+dv0iHnIzszA/WuqY7x6ahNcqzZE087ibbpp59Fw9WmAqzLbdOCpDajZtCdqN+sNKzs3dOj/E4zNKyHorLST3cjESu7z5M5ZOHvXh7m1dF/2bzsYTTqNgoPbp79Du56XAFceiRASAcQkAYevi6ClCVR1Un1X0Nt44Ow9ER6Hi5Cj4jqSv48AyenAkRsivIkHktKAsHdAourzo3Jx5cRG1G7WA3Wb94a1vRs6ffUTTMwr4frZHUrT3zi7A6YWtuj01U+wtndD3ea9UatpD1w+tk6SxsHVDx2+nIxqDTpBqKWtdDlDJq9BrSbdYePgAdvK3ug5cg4S494i8uUjpekrmpiTF/H0lyWIOhBQfOIK7uiBnWjRpjNatvsC9o7OGDxqAiwsrRFwbL/S9NY2thgyegKatuoAPRX1uaGRMUzNLCSfB3eDoKOjgwaNW5ZnKEUSiUS4eXYT/Nsr1ufBQarruptnN8LZW7E+v3lWvj7X0NSUa5foG5nL/b1KvS5w9mkIUytHWNl5oGWvacjKSEV0ZEi5xKuKSCTC/UubULvVGLj5tYWFrSda9ZuHnKwMPLujej3YVPZDwy4/wqNmJ2gKtZSmcfJpivodJsDNr/xv4CmOSCTCjdOb0Eimndolv536qKh2av7xu1GH/HZqh9Fw9mmAGzLHb8/qLeHu1wwWNi6wsHFBi+4Toa2jj8gXd+WWJRRqy20Tegam5RRt0ep5CnDlsQghkR9wHHut+jgGAHl5QFqG9JOeWQ4BfCB/H01cfJCL4HARohNF2Hc5F1pCoJqr6ksSb+JEOHUrFw/D8lTG7WilgSev8/A0UoTENODxKxGevxHBzkL9dwsfObATLdt0Qqt2XeDg6Iyho8bB0tIap4qoz4eNHo9mrdpDX99AaZqL506iR5+BqFXXHzaV7NCuY3fUqFUPh/crbyeow779+9GubVt0aN8OlStXxpjRo2BlZYkjR48pTT9m9Cj07t0LXp6esLe3x9Ahg2FnZ4fr169L0pw6FYDUlBT8MmMGqlatAhsba/hWrQpXV1elyyxv549uQv0WPdCgZS/Y2Luh++CpMLWohCsByssh8PQumFpUQvfBU2Fj74YGLXuhXvPuOHd0g3xCgQDGppZyH1k+NZqgY99xqFZP+dPzn4K663Pf+l3gUqUhzPKP3216T0NmRiqiI8ru+K3u87GI0Luo3qgbXLzrw8zSAXWa94WNoxciw6TnnOo8HyP63LDz5DNR0DEycOBAJCUl4d69e/j555+xZs0a2NraKqTft28fHBwcMHv2bMkTLADw4MEDtGvXDj169MD9+/exc+dOXL58Gd9++61k3iFDhiAsLAxnz57Fnj17sHz5cpV3mZSHxNgIpCbFwK1qI8k0oZY2nL3qIiJUcciKAq9D78JVZh4AcKvaGK+f3/3gvKQmxeLZgwuo2aTnBy+jpAridq3aWDJNqKUNJ8+i4454cReuVRrLTXOr2qTIeTLfpwAA9AwULy4DQGpyLJ4/uIAajXuVJoQPkhCjurxfPy+6vN185cvb3bcxXofeLdXv5+XlYd+aH9Go/fBiH+EtLznZ2XgVGoyqNRrITa9Swx/Pnyg+WfGhMrMykJubAwND9T0OnBQbgbTkGDj7yG/njh51EflCdXm/eXFXbh4AcKnSRGGeUztmw823GZx9GipdjoNbLTy7fxYpCe8gEonwKuQaEt69hEuhfehjFGzT7r7y27RTMdt0ROhduf0AANx8pXVYTk4W3oY9grtCPdcIr1Xs76lJsXh6/wJqfYI6rCRMDQBDPQFeREnvPs3NA8KjAQflD1SUmIe9AG/jRejRUAMTumlgeDsN1HD9tBdecnKy8CbskVzZA4C7XyOEP1NeRq+f34W7n3x6D79GiAx7hNycD39sJiO/ntc3VF7PU/nIyc7Gy+chqFazntz0ajXr4emTsuukPXfqCPybtoaurl6ZLbO0Cupz2fpTUp8X0QaJfHFXoc5VVp8nRL/CP1MbY+X0lji4diISY16rXGZuThbuXt4JHT0jWDsoH4a0vCTHRyA9JQaOXtL9WFOoDTu3uogKU70e/msS88vbtVB5V/asi4gijt+RoYrtVNcqqtupeXm5eHTjKLKz0mHvWlPub6+e3sDi7/2xYno7HN00HWnJcR8R0YcpOI69LHwciwHsy+AGejMj4LsvNDC2kwa6+Qtgqvz6+ydnZggY6Qvw/I183GFRIjhafdyxNjw6D662GrDIb57amAngZC3As0j1DtqVnZ2NF8+forpCfV4XIR9Rn2dnZ0NLW/5GCG1tHTx5/OCDl1mWsrOz8ez5c9SqJb//1apZC8HBwSVaRl5eHt6/fy83Ksa169fh7eONf5YvR7/+AzD667HYsXMncnNzyzT/JZGTk42Il4/hVU3+fMGrWkOEPVV+7hX27J5Ceu/qjfD6hXx7LSsjHbO/a4Nfv2mFNfPHIuJlydbZp1QR6vMCuTlZuHNJfPy2KcPjt7rPxyp71ELInbNIzj/nfBl8DXHvwuDuW3bnnERUcnznyf8zR44cgaGh/F2HU6ZMwYwZM/D777/j9OnTGDVqFB49eoSBAweie/fuSpdjbm4OTU1NGBkZoVKlSpLpf/75J/r37y95QsXDwwNLly5Fs2bNsGLFCoSHh+P48eO4du0a6tcXj7v677//wsfHp8h8Z2ZmIjNT/tao7CxtuUdUSyo1KQYAYGgsfwZiYGyBpDjlw56I54tVmMfQ2AKpyTGlzkOBe4EHoK1jUOSTKmWlIG4Dhbgti41bcR4LpKmIWyQSIWDXXDi614a1vfLhnu4H7oe2jgG8a32CuJNVxV18eSubp2A9ltSV42ugoamJ+q0Hlmq+spSSkoi8vFwYm8rHY2JqjoeJZXdhYO+mpTAzt0KV6uobU1l1eVsiOb6I8k4ufjt/HHQU78IfY/A05U/rAECbvtNxfMsM/DOtKTQ0hBBoCNDhq9/h6K76fRSlpWpfNjSxUDl0k3g+FXVY/vLSUxKQl5erdLmpD2OVLvPulQPQ0TWATx3137UMAAa64n/TMuSnp2WKYKwvAD5idHMzQ6C2uwDXQ0S48lh8x2rbWgLk5gEPwj7NBZj0/H258NBa4nJUXkYpibHw8CtcppbIy81BWmoCjD9gKEGRSIRj2/6Ak2dt2Dgor+epfCQni7cBEzP5pyRMzMyQeLts6vPnIY/x+tULjB43rUyW96EK6nN9o9K1W9KSY2FQeB4j+frc1rkaOg3+A+Y2zkhLjkPg8RXYsqAfhs84Aj1DM0m65w/O4dC/k5Cd9R6GxlboO24d9A3l1315S0/JXw+G8jHpG1ogJUH1evivSSvq+F1Ue60Ex28AiI4IwYY/+iEnOxPaOvro9fU/sLKTDnvk5tsU3rXbw8TCDomxEbhw8C9sXTQYw37ep/KJvPKg8jiWIYLJRx7HIuNEOHxdhPgU8e80qqKBQa0EWHMiD++zPjzPZcFQT9xBklZoyLG0DBFMDT6u8+TSwzzoaAvwXTctiESAQACcuZ2LBy/VO2RZSnIS8vJyYWpmJjfd1MwMibc/fHih6rXq4ciBnahStTpsbO3x4N4tBF2/jLzcijFEW3JyMvLy8mBmaio33czMFPEJJXuJ3N59+5GRkYGmTZpIpr2NisK7e+/QokVz/DbrV0S+eYN/lq9Abm4uBvQv23cPFictWdymNjKRr5uMTCyQXER7TVn6vNwcpKYkwsTMCtZ2LvhyzO+wreyBjPdpuHh8C5b+OhCT5+2Fla1TucVTWuquzwHg2f1z2L8m//htYoX+E9cpPGH6MdR9PtZhwM84tH4GFk5qBg1NIQQCAboO/R1OnqrfqUNE5YedJ//PtGjRAitWrJCbZm4uPohoa2tjy5YtqFatGpycnLBkyZJSL//WrVt4/vy53FBcIpEIeXl5ePnyJZ4+fQqhUIg6daQXEr29vWFaqPFU2Ny5czFr1iy5aT2GzkTPYb8Wm6f71w7jyKZfJN/7j18p/k+hFzuJRIrTFBSeRzyx2DyocufyXvg16AyhVuk7gYrz4NohHNsijbvfd6vy/1c4BlEJQii8rkQK0wqc2DYb0RFPMfjHbSqXdu/KXvjW71Iucd+/ehiHZcp7wARxeQuUlW0x5S0oHKNIPLWk3oQ9xLWAzRj9y17lv69mIpGozPJ1fP8GXL98Ej/+tvqDOjU/1KPrh3Bim7S8e38j3s4V4hIVf7FB+Tziacnxb3F61//Qd/y6Irfbm2c3483Lu+g5dgVMzO3w+tlNnNo+C4Ym1iqfVinO/auHcXhj8du0+IJAMdu0kr8X3s6VLlfFdn/nkrgO0yqHfbkkqjoJ0LGONG87L5bfhQEBgLcJwPn74m3pXaIIViZALXfBJ+s8kc2LLHE9rrrsVe0Pqsq1OIc3/Yao1yEYNf3TDrtJUsqOT2VVn58LOAJHJ1e4e1Upk+WV1KMbh3BSpj7vNVZ5fS4+dhWzMIX2mny7xc1X+mJZK3vAzrUGVs9sgwfXDqBe66GSv1X2rI+hPx1AemoC7l3ZhYNrJ2Dgj7sVLmqUpae3D+P8Hul66DRcRbtVybT/kofX5dupfb9V3k7NPwgVSXHbV2ynWlRywYgZB5CRnoyQ26dweP0UfPXDFskFtyp1O0rSWtt7wtbJF8umtcTzB+fL9Wafqk4CdKgtzeuuS3mSCAr72CPNC5nXIsUkAZGxefi6kwb8nAW48fTTHsequWigi7+m5PvWMzkAyiduX2cNVHfVwJ6LuYhOFMHWXIAOdTXFL44PrQgdCqVvzxVl6KhxWPX3fIz/+isIIICNrR1atO6Ic6eVD4mlNkrr9uLjPnf+PLZs3YpfZs6Qu4YgysuDqakpxn/3HTQ1NeHh4YG4uHjs2bv3k3eeFFA8VhcdY+H0ooL2Wv48zh7V4ewhHYLJxbMmFv7UG5dObkWPIep7x0lFq88BwMmrPkbMOID3qQm4c2kX9q2agKHTPvz4XdHOx64HbEbEi3voP345TCzs8SokCEc2z4KhiRXcqn7YOScRfTh2nvw/Y2BgAHd35S+XA8TvKwGA+Ph4xMfHw8CgdM9y5+XlYfTo0Rg3bpzC3ypXroyQEPE4k6VtEE6bNg2TJk2Sm7b/ZsnuAvOq3gIOv1STfM/JEd9alZoUK/fy7vSUOIW7AGQZmlgq3NmblhwHQ+MPGwvm1dObiIt6iV5jFn/Q/MXxrNES9q7SxlVutjjutORCcSfHwaCIGAxNLJGWLB93ekq80nlObPsNT++dxaDJW2BsXknh7wAQnh93j1FLShNOiXnVaAF7V2l556oob3HZFVPeheJOS4lT+TJlZV49vYW0lDgsniwdM16Ul4tTO//AtYCNmPjn2RIv62MYGZlCQ0MTyYWeMklOSoCxycffgXPiwCYc3bMOP8xaCUcVL5cvL+7VW2KYi3Q7l92/DU1kyjulmO3cWMn+LbOdR4U/QnpKHDbM6SH5uygvF6+fB+HW+a2YvOwBcnOyceHgYvQYswzufs0BANYO3ngXEYzrAf9+cOdJabbpok4IDE0skVIoxtTkOBjkb9P6RmbQ0NBUWs8ZmCgu99XTm4iNeoneX5dPHVYSzyJFWBsnvayimT/YqIEukCpz166BjgBpGR93+SU1A4hNkl9GbDLg7fBRiy0V/fx9uXA5piXHq6zPjEyVl7uGphD6hqalzsPhTb/jyZ1zGPHzZpioqOep/Bgbi7eBxAT5+jwpMQEmph9fn2dmZCDw4mn0HjDio5dVWu7VWsLOWbE+T0uWr8/TU+JgYKS6PjcwLnm7pYC2jj4s7TyREB2mMF3b2glm1k6wd62B1TPb4n7gHvi3L7+XrzpXaYG+kxTr/PSUWBgYS9fD+9Q4hadR/ks8qrfECJnjd26O8nbqBx2/kxXLW1OoDXNr8Z3Zds5+eBP2AEFnNqHjwNlKl2tkag0TCzvEF9omytqzSBHeKDmOGerKP31ioPvxx7HCsnPFnSjmRsWnLWtPXuchIlbacaGpKT43NNQTyL3w3kBX/vuHaFdHE5ceiN+LAgDRiSKYGgJN/DTV2nliZGySX5/LP2Uirs/NVMxVPBMTM/w4fS6ysjKRkpwMcwtLbN2wEtY2ikNxq4OxsTE0NDSQUOgpk8TEJIWnUQq7cOEilvy1FD9Nm4paNeWHaTI3N4emUBOamtJOucqOjkhISBAPZaal/N1P5cHAWNymLvyUSUpyPIyKaK8VTp+aHA8NTSEMVAyRqqGhgcquvoiJCi+bjH+gilifa+voi9PkH7+XT2+Lu1f2oFGHDzt+V6TzseysDJzZuwT9vvsbntWbAwAqOXohKvwJAk+sY+fJJyYS8G0XxHeefFZCQ0MxceJErFmzBg0aNMCgQYOQl6e6Qamtra0whmitWrXw6NEjuLu7K3y0tbXh4+ODnJwc3Lx5UzJPSEgIEhMTi8ybjo4OjI2N5T4lvbtdR88Q5jZOko+VnTsMTazw4nGgJE1uThbCQoLg4KZ8rEwAcHSrITcPALx4dAWO7jVKlI/C7lzaA1unqqjk6P1B8xdHR9cQ5tZOko+lJO4rkjS5OVl49bTouB1ca8jNAwAvHl+Wm0ckEuHEttkIuXMKA7/fWORL4O9eFsdtU15x6xnCwsZJ8iko71CZssvJL29H96LLO/SRfHmHPrwCR7caJc5L9YZf4OtZBzHm1/2Sj5GpNRq2H46Bk9aWOrYPJdTSgpObDx7duy43/fG9a3D3/rgXyJ3YvxFHdq/FxJnL4Oz+ae9SBsTbuVn+hS0zaydY2rrDwNgKYcHy2/nrZ0Eqx8IFxHcdy84DAGHBlyXzOHk3wPAZhzHs5wOSTyUnX1St1wXDfj4ADQ1N5OXmIC83W6FzWENDU3Ln2AfFqGqbfiS/Tb8qZpt2cKuBF4W3aZk6TCjUhq1zVYXt/sXjQDgqqSNuX9wDO+eqqFS5fPblksjKARJSpZ/YZCD1vQgulaRloKEBVLYGIpSPklBir2NFMDeWL1tzIyAp/eOWWxpCoTbsnKvi+UP5Mnr+MBCVPZSXvaN7DSXpr8DeuarKl0grIxKJcGjTb3h0KwDDpq6HudUn7DUiCaGWFlzcvfDgbpDc9Ad3g+Dp7fvRy796+QxysrPRpEW7j15WaZWqPi+i3WKvpD5/+fhykceAnOwsxEWFwtDEqsg8iiCSXDApL9q6hjCxdJJ8zGzcoW9khYin8u3WN6FBqOSsOqaKTqGdml/eLwu1U8OfBsGhiLKzd6uBl8FFt1OVK7os01MTkBz/Vq7jrjyU+DhmBUSW8StYNDUAC2Mg9X3ZLrcksnKA+BTpJyZRhJR0EdxtpXFragDOlQR4HfNxnSdamopPr+TlfczYAWVDS0sLru6euF+oPr9/NwheZVCfa2vrwMLSCrm5ubgWeAF161eMdyFoaWnBw90dd+7Ivxfizp07RQ7lfe78eSxcvBhTJk9G/Xr1FP5epUoVvHnzVu76RWRkJMzNzT9pxwkACIVacHCpgqf3r8pNf/rgKpw9lZ97OXtUx9MH8ulD7gfC0VV1e00kEiHy1ROFl8Z/ahW9PhcnEUluJv0QFel8LDc3B7m52RAUumgv0NCASFQRnqYj+vzwyZP/ZzIzMxEVFSU3TSgUwszMDAMHDkTbtm0xdOhQdOjQAX5+fli4cCEmT56sdFnOzs64ePEi+vXrBx0dHVhaWmLKlClo0KABvvnmG4wcORIGBgYIDg5GQEAA/v77b3h5eaF9+/YYOXIkVq9eDaFQiAkTJkBP79O9kFQgEKB+60G4dHQVzG2cYGHthEvHVkFLWxd+9TtL0u1fOwVGZtZo3fN7AED91gOx/o+BuHxsDbxrtsKTO2fwIvgqhk6VDluSlZGG+GjpnR8JsRGICg+GnoEJTCzsJNMz36fi8c2TaNt3yieIWEwgEKBeq0G4cmwVzK2dYW7jhCv5cfvKxH3w3x9hZGaDlj3EcddtNQib/vwKgcdXw7NGKzy9ewYvg6/KDct1YtssPLx+BH2+WQ5tXQPJmJ06ekbQ0taVpMt8n4rgWyfQuvenjbtBm0G4dGQVLKzFHWiXjiqW9741U2BsZo3WvfLLu81ArJ8nLm+vmq0Qkl/ew2TKO7NQeSfGRuBtfnmbWthB39AM+obyd45paAphaGIJS1vXco5cXtsvBmDtXzPg7OYDN69quBiwD/GxUWjWTvyi772b/0ZCfDRGjP9NMk/4S/GTYhkZ6UhJTkT4yxAIhVqwcxTn/fj+DTiwbQVGTpoDS2s7JCWIr07r6OpDV0//k8ZXQCAQoG6rQbh6YhXMrJ1hbu2EqyfE5V2lnrS8D6//EUamNmjeXVzedVoOwtaFX+HaydXwqN4Kz+6dQVjwVXw1eVt+TIawKvQOHy1tfegZmEqm6+gZwtGjHs7t+xNCLV2YWNgh/GkQHl47gJa9ppZpjJJtOr9T+NKRVdDS0UW1BvLbtJGpNdr0FsfYIH+bvnR0DbxrtcKT22fw4vFVDJ8m3aYbth2CfWumwM7ZF47uNXDzwi4kxb1F3Rb95PKQ8T4Vj4JOol0/5ftySlIMUpNiEf9OvH9ERzyFtq4BTMxtP+hph9K4ESJCoyoCJKSIEJ8KNKwiQHYu8OiV9NJJl/oCpLyXDsGloQFY5b9IVlMDMNIDbEylF7UKlju4tQANqwgQHC5+50lNNwGOBX3aoU4atR+MPaumwt7FF5XdayDovLiM6rXsCwA4uWsRkhPeoffoPwAA9Vr2w7WAbTi2dR7qNO+N8Od3cevCPvQZu0CyzJycLERHhgIAcnOykZwQjTevgqGjqw8LG/GdfYc2zsb9a0fx1YRl0NE1QEqiuJ7X1Zev5ysqTQN9GLhXlnzXd3GAcXVvZMUnIeP1WzXmrPQ6deuLfxb9Bld3b3j6+OL0iYOIjXmH1h3F76nbvmEF4uNi8c33MyTzhL14CgDIzEhHclIiwl48FV/cqewit+xzp46gToMmMDJWfpfrpyQQCFCnpbQ+N7OS1uc+daV13ZEN4vq8WTdxXVe7xSBsWyRfn796chUDfpC2W87u/QPufi1gbG6L9JR4BB5fgayMVPg2EK/DrMx0XD2+Eu7VWsLQxArv0xJx58I2pCREwatW+0++Hqo1GYRbZ1ZJOlRun10FobYuPGpK18Pp7VNgYGIN/47i9ZCbk4WEd/n7dW420pLeITYyGFo6+jCxFO/X2ZlpSIqVtmNS4iMQGxkMHX0TGJnZ4VMSCASo13oQrhxfBTMb8fE78Li4vKvKtNcOrROXd4v8dmq9gnbqidXwrN4KT/OP34Nk2qnn9i+Cm29TGJtVQlZGGh4FHcOrkBvoN158I0tWRhouHl4G71ptYWhihaS4SJzbvxj6hmbwqtn6k64HALjxVISGPgLEp4iQkAo09FFxHEsHzj+QHscsCx3HrE2BbJnjWMvq4heyJ6UDBjrid57oaAH3P/HQk6pcDc5Fk2qaiEsRIS4ZaOqngewc4P4L6cXAHo01kZwOnL4tvoFPUwOwMhFI/m+kL0AlMwGycsTvdgGAkIg8NPXTRFKqSDxsl4UADatq4vYz9V9k7NytL/5e9Dvc3L3h6VMVp08cQmxMNNp27AYA2LphJeLjYvHd99Ml87x88QwAkJHxHslJiXj54hmEQiEc8+vzZyGPEB8XC2dXD8THxmDXtnUQ5eWha0/1DF2lTI/u3fHnwoXw8PCAj7c3jp84geiYGHTqKB4+b936DYiLi8PkH8T7+bnz57Fg4SKMGT0K3t5eiI8XP62jo6MjGSmjc6eOOHT4MFauWoUvunyByDeR2LFrF7p+0UUtMTbvNAhb/5kGR9eqcPasjsAze5AQ+xYNW4vba0e2L0ZSQjQGjJ0LAGjYug8un9qOA5vnw79lT4Q9vYfr5/Zh4Hd/SpZ5Ys9yOHtUh2Wlysh8n4aLJ7Yg8lUIeg6Vbh+ZGemIlXkSJS4mEpFhT6BvaAIzy0/z9JFa6/PMdFw5thKe1cXH7/TURNy6sA3JCVHwqVN2x291no/p6hnC2asuTu36E0JtHZha2CMs5AbuBR5Eu37Sc051no8RfW7YefL/zIkTJ2BrK3/Q9PLyQv/+/REWFobDhw8DACpVqoS1a9eiT58+aNOmDWrUqKGwrNmzZ2P06NFwc3NDZmYmRCIRqlWrhgsXLuDnn39GkyZNIBKJ4Obmhr59+0rmW79+PUaMGIFmzZrBxsYGv//+O2bMmKGw/PLUqMMI5GRn4NiW2XiflgQH12oYOOlf6OgZStIkxb+Ru4Pc0b0Weo1eiLP7/8K5A0thbu2IXqMXwUFmaKw3YQ+x8c/Bku+nds4DAFRv2A3dhs+TTH944yhEEMG3XqfyDFOBf/uRyM7OxIlts/A+LQn2rtXRf+I66OjKxv1W7i4GR/da6DFqEc4fWILzB5fCzMoRPUYtlhsS7Nb57QCAzQvkX4reZchcVG8kHeboUZA47qoyF7E/hUYdRiA7KwNHZcv7eyXlrSEt78rutdBrzEKc3fcXzu7PL+8xi+DgVqi850vL++SO/PJu1A3dZcq7IqjXuB1SU5JweNcaJCXEwr6yG8ZPXwpLa/HFkcSEWMTHyHeszpr0peT/r0KDcf3icVhY2WL+6qMAgHPHdyMnJxsr5st3sH7RdxS69htTzhGpVr/tSGRnZeLU9lnISE+CnUt19B0nv50nF9rOHdxqoevwRbh4aAkuHhJv511HLoadS+mezOk6YhEuHFiEw+t+QEZ6EozN7dC060TUbPpl8TOXQuOO4jrsyObZyEhLgr2bkm06Tr4Oq+wh3abP7V8KM2tH9C60TfvW74j0tERcOPQPUpJiYG3vgQETV8HU0l7u9x9ePwpABL/6yuuwm+d24PzBfyTf1839CgDQbfgc1GzcQ+k8ZeXqExGEQqB9HQ3oaovv1N1+Pg9ZOdI0JgaC/HcgiBnpASPaS4d58PcRwN8HeBUtwpaz4osrb+OBPZfz0KKaBppUFSAxFQi4LZK7mPUpVGvQEempiTh3cDlSEmNg4+CBQd+vhFl+GaUkxiApTtoZYG7lgME/rMTRrfNw7cw2GJtao9PAn+BbVzqGf0pCDP6ZIS2Xy8fX4fLxdXDxrosRP20CANw4uwMAsHaOtM4DgJ4j56BWk+7lFm9ZMantC/8zmyXfqywQjw3+etM+3B+u3hejl1bDpq2RmpKMvTvWIzE+Do5Orpj66wJYWYuHUUtIiENszDu5eaaOk77H48XzEFy5EABL60pYtm6vZPqbyHCEPL6Pn35T31B8hdVvOxI52fL1eZ/viq/Pvxi+CJcOLcGlw0thauWIL0bI1+cpCVE4vG4S0lMToW9oBjuXGhj44y6YWIj3Iw0NTcS/e4EDq/fjfVoC9AxMUcnJDwO+3worO49PtwLy1WwhrvMv7puNzPdJsKlcDV1G/gttmfWQmiBf56clR2PXYum+effCOty9sA52rnXRbax4X4h+/RAHV0r36SuHxG0Xrzrd0Krfp2/H+LcbiZysTJzYKi5ve5fq+HJC0e1UB7da6D5yES4cWIIL+e3U7oXaqWnJsTi07kekJkVDR88I1vZe6Dd+LVyrNAIACDQ0ERP5FA+uHUBGegoMTazg7FUfPUYtlvvtT+XaExG0NIH2tcXHsTdxwI4L8scxY32B3FOtRrrAiHbS41gDbwEaeIuPY1vP5eXPA3T114C+NpCeKT4+bjydh+RP+ARlUS4/zIOWpgCd6wuhqwNExoiwKSBH8fgtkj9+j/1Celd+Y19NNPbVxMuoPKw/KZ7x6PVctKoJdG4ghIEukPIeuPk0D+fvyY+goA6NmrZCakoy9uzYgIT4ODg6ueCnX+cXWZ//OG6Y5P8vnofg8oUAWFlXwvJ1uwEAWVlZ2L55DaKj3kJXTw81azfAd9/PgIGhGsZnU6FZs6ZITknG1m3bkRAfDydnJ/w2axZsbMRPesUnxCM6RvqS8GPHTyA3Nxf/LF+Bf5ZL39/aunUr/JA/tLeVlRX+9/tvWL16Db7+5htYWligW9cv0LtXr08bXL6a/h2QlpKEk/tWIjkxBraOHhg1ZQXMrcTnXsmJsUiIlbbXLKwdMPLH5TiweT4un9oOEzNrdB88DdXrt5GkeZ+egl1rf0VyYiz09I1g7+yN72ZugJO7nyTN6xcP8c9v0m3k4Ob5AIC6Tbui/9f/K++wJdRVn2toaCIu6gX2XN2P96ni47etsx8G/Vj2x291no/1+noRTu9ZhL2rJuN9WhJMLezQqucEuRve1Hk+RvS5EYg+ZqwRonK07fLnuWnm5qn7IXP1EGp+nuXtaFZBzmg/sWfvSve+pf8v9HQ+z+08NFz9d3+qg5fL51mf6zVWPSzH/2d2hYbA/Fzcea3e4UTUJSXt86zPzYw/z3otIkr9F+LVISPj84y7V8NEdWdBLYw0ktWdBbUITnJSdxbUIjbl0w53VlFoa32ex+9+DT/P4/fHir9/Sd1Z+M8xr9ZE3Vkoc3znCRERERERERERERERkQwO20VEREREREREREREVEDAJ3aIT54QERERERERERERERHJYecJERERERERERERERGRDHaeEBERERERERERERERyWDnCRERERERERERERERkQx2nhAREREREREREREREckQqjsDREREREREREREREQVhUjAZw6IT54QERERERERERERERHJYecJERERERERERERERGRDHaeEBERERERERERERERyWDnCRERERERERERERERkQx2nhAREREREREREREREckQqjsDREREREREREREREQVhQgCdWeBKgA+eUJERERERERERERERCSDnSdEREREREREREREREQy2HlCREREREREREREREQkg50nREREREREREREREREMth5QkREREREREREREREJEOo7gwQEREREREREREREVUUIgGfOSA+eUJERERERERERERERCSHnSdEREREREREREREREQy2HlCREREREREREREREQkg50nREREREREREREREREMth5QkREREREREREREREJEOo7gwQEREREREREREREVUYAoG6c0AVAJ88ISIiIiIiIiIiIiIiksHOEyIiIiIiIiIiIiIiIhnsPCEiIiIiIiIiIiIiIpLBzhMiIiIiIiIiIiIiIiIZ7DwhIiIiIiIiIiIiIiKSIVR3BoiIiIiIiIiIiIiIKgoRnzkg8MkTIiIiIiIiIiIiIiIiOXzyhCosoaZI3VlQCy3h5xm36PMMG9XTL6k7C2rxWrudurOgFp9rveZk/7neq/F5lrfd4yvqzoJavKnSSN1ZUIuzP55TdxbUon17W3VnQS0+1+NYZbvP8ziWnaOp7iyoRUSKmbqzoBY5eRbqzoJapGd9nvu3rnaeurOgFgKBunOgLp9t4EQf7fM8ShAREREREREREREREanAzhMiIiIiIiIiIiIiIiIZ7DwhIiIiIiIiIiIiIiKSwXeeEBERERERERERERHlE32+L8khGXzyhIiIiIiIiIiIiIiISAY7T4iIiIiIiIiIiIiIiGSw84SIiIiIiIiIiIiIiEgGO0+IiIiIiIiIiIiIiIhksPOEiIiIiIiIiIiIiIhIhlDdGSAiIiIiIiIiIiIiqihEAj5zQHzyhIiIiIiIiIiIiIiISA47T4iIiIiIiIiIiIiIiGSw84SIiIiIiIiIiIiIiEgGO0+IiIiIiIiIiIiIiIhksPOEiIiIiIiIiIiIiIhIhlDdGSAiIiIiIiIiIiIiqihEEKg7C1QB8MkTIiIiIiIiIiIiIiIiGew8ISIiIiIiIiIiIiIiksHOEyIiIiIiIiIiIiIiIhnsPCEiIiIiIiIiIiIiIpLBzhMiIiIiIiIiIiIiIiIZQnVngIiIiIiIiIiIiIioohAJ+MwB8ckTIiIiIiIiIiIiIiIiOew8ISIiIiIiIiIiIiIiksHOEyIiIiIiIiIiIiIiIhnsPCEiIiIiIiIiIiIiIpLBzhMiIiIiIiIiIiIiIiIZQnVngIiIiIiIiIiIiIioohAJBOrOAlUAfPKEiIiIiIiIiIiIiIhIBjtPiIiIiIiIiIiIiIiIZLDzhIiIiIiIiIiIiIiISAY7T4rg7OyMJUuWqDsbRERERERERERERET0CX3QC+OjoqIwd+5cHD16FBERETAxMYGHhwe++uorDBo0CPr6+mWdz/+3nj9/jjlz5uD06dN49+4dLC0t4e3tjWHDhqFv374QCj+oiD47Bzf8gpvnd6HDl1PRsN3gEs1z/9pR7F75A7xrtsKA8cs+Og9Rr5/i6JbfEPHiAfQMTFC3RR80/2IsBPkvmHoZfAPr/lDM27g5R2Fl51rq37t+ZhsuHVuH1KQYWNu5o+OAaXD2qqMy/csnN3B82x+IfvMcRqbWaNJxOOq17CeX5lHQKZzetxTx0eEwt66MNj3Ho0qdNpK/n9m/DOcO/CM3j6GJJaYuvST5vnfNNNy5fEAujYNbNYyZubPUMQKASCTCuQP/4OaFXXiflgwH12roPGgGbOw9ipzvUdApnNkvjaV1z/GoUruNXJrrZ7bh8vF1SE2MgbW9Ozr0l1+HJfntf+cOQlhIkNxyfet1QN+xiwCoLncAGD1zF+BVqtVRKrsDLmHz0bOITUyGq30lfD+wB2p6uxU7392QFxj9+99wc7DFtrk/ll8Gy4hIJML5g8tw68IuZKQnw961Gjp9NRPWxWwjj2+exNn9S5EQEw4zq8po1WMCfGS2kbCQIASe+Bdvwh4hNSkGfb9dBp9arcs7HKWund6Gy8fWISVJvK12KsH+fmzbH4iOzN/fOw1HfZn9/V3EM5zZ9zciwx4hMfYNOvafikbtBxdaRhAuHVuHN2GPkJIYgwHj/0aV2uqJX5ZIJMLFQ8tw+2J+ebtUQ/sBxZd38K2TOH9AWt4tuk+Ady1peV8+tgpPbgcg7u0LCLV14eBWE616fQ/LSqWvn8uDOraBiuDU0X04vG8bEuPj4FDZBYNGjoOPbw2laRPiY7H532V4+fwJot5EoH2XXhg8aoJcmllTv0XwwzsK89as448pvy4ohwjKl3njOnD9fjhMavlC184aN3uOxbtDZ9SdrY/So6URWtTVh4GeBkJfZ2HD4SRERueoTF+nii6+aG4IG3MhNDWBd3G5OHY5FVfuvpekaVVPH63qG8DKVBMAEBGdg/3nUnD/aWa5x6OMOuuxg+um4n7gAbnl2rtWx7CfPqydVlSMBcfmgjZUp4ElPzYXtN8KH5sB4MbZbbhy/F+kJsbAyt4dHfr/BCdPaX24f+1U3L1yQG4eB9fqGDlDHGNCbASWTFZ+POszdgmq1m3/ARGrps7yvnDwbzwKOobk+ChoCrVg61QVLbpPgL1r9TKNURmRSITLR5bh3uWdyEhPhq1zdbT9cias7IqO+8ntk7h06C8kxobD1LIymnadCK+abZSmvXpiFS4cWIQ6LQehdZ+flaY5sXUm7l7aiVa9p6FuqyEfG1aRLp/agXNH1iM5MQaVHNzRbdAUuHnXVpn++eMgHNzyJ6IinsPYzBotOw9FozZ9JX+/ceEAtq+crjDf/I23oKWtAwA4fWAN7gedRvSbl9DS1oWzZw10+XIirO1cyj5AFQIDtuP80XVISYyBjb07vhg4Fa7eqtsoocFBOLzlD7yLfA5jU2s07zwM/q2lbZQHQQE4e3A1Yt+FIzc3B5Y2ldGs41DUbvKFJM2c8a2REPtGYdn+rb9Ej6EzyjbAfOqs184d+BsPrx9DUv6+bOdcFa16TICDm3Rfjo8Ox8md8xH+9BZyc7Lg7tcEHQdMh6GJZanjrKjn3wkxkVikov7uO3YxfOtJ6++Qu+dx/tAKRL0OgbaOHpy86qD/d3+XeD2o43rL9TPbcePsDiTGRgIArO3d0aLrWHhWbyq3nOg3oTi1cyFehgRBJMqDtb07+n2zGKYWdiWOj4hKrtRX5l+8eIFGjRrB1NQUc+bMgZ+fH3JycvD06VOsW7cOdnZ2+OKLL4pfUDnJzs6GlpaW2n6/NG7cuIHWrVujatWq+Oeff+Dt7Y3U1FQ8fvwYK1euhK+vL6pX/7CGbVZWFrS1tcs4xxXT41unERF6H0am1iWeJzE2Eid3/gknT9WN2dLIeJ+KjX8Oh4tPPYz5ZRdio8Kwf+1P0NbWR6MOQ+XSjp93DDq6hpLvBsbmpf69B9eP4djWeegyaAYqe9ZC0Lmd2LRwNMbNPaz0gBkfE4FNC8egTvNe6DVmPsKf3sbhTb/BwMgcVeu2BQCEP7+DncsnoVWPcahSuzUe3zqNHcsnYeTPW+Ao0yiztnfH0B/XSb5raGgq/J6HXxP0GPE/yXdN4Yfvk5eOrUXgyQ3oPmIOLCs54/yhldj453CMn3scOnoGSucJf34Hu1ZMQsse41ClVms8vn0aO5dPwoifpLE8uH4Mx7fNQ+dBM1DZoxZuntuJzYtG47s50nVY0t+u06w3Wnb/TvJdS1tX8n9Hjxr4cclFufyd2bcUoY+vwt7FF8DbD143RTl19TYWbt6PqUN7o7qnC/adDcS4+Suxe/40VLJUvc2lpr/HLyu3oG5VT8QnpZRL3sraleNrcfXUBnQbPhcWNs64eGQlNi0Yhu/mHIeOnqHSeV4/v4PdKyehZfdx8K7VBk9uB2D3yokYNnWr5CQkO/M9bBy9UaNxD+z6Z9ynDEnO/Wv5+/vgGXDyEO/vGxeMxvi5h2FqqXx/37hgDOo274Xeo+fj1bPbOLxRvL/75u/v2VkZMLNyhG+9dji6dZ7S383KfA/byl6o3aQ7tv09vlxjLI3AE2txLWADvhg6FxaVnHHpyEpsXTQMY/93XK5ulRURegd7V01C827j4F2zDZ7cCcDeVRMxZMpWyQWk8JAg1G3RH7bOfsjLy8X5/YuxbdEIjPntCLR11HtTiLq2AXULvHgaG9f8heFffw+vKtVw+vgBzPv1ByxcvgWW1pUU0mdnZ8PY2BTd+wzGsYPKLwR///Mc5ORkS76nJCdhyndDUL9xi3KLozxpGugj+X4IIjbuQ+3dH38jiLp1bmKIDo0MsGpvIqJic9C1hRGmDrXA5MXRyMgSKZ0n7X0eDp1PxZuYHOTkilDTSxejepgiOTUPD56LO0fik3Ox82Qy3sWJO2Ga1NLHpAHm+PmfmCI7ZsqLuusxN98m+GLoHMl3Tc2yP3e6fGwtrp7MPzZXcsbFwyU8Nq+YhBbdx8GndhsE3wrArhUTMXya9Nj88PoxnNg2F50GzhS3387vxJZFo/DN/47ItYHd/Zqg23DlMZqY2+KHJdIbfwDg1vlduHL8X7j7NSnL1QBAveVtXskZ7fvPgJmVI7KzMnA9YCO2Lh6Ob+acgoFR6c9BSuP6qTUIOrMenQbPg7m1MwKPr8DOv4Zi5KwTKuOOfHEHB9dORNMvxsOzRms8vXsaB9dMwFeTt8HORf68+G3Yfdy9tBNW9qrvRHp69zTevLwHQ5OSnyd+qDtXj+PApnnoNWw6XLxqIvD0bqyeNwZTFxyCmaWtQvq46AismT8WDVr0xFffzMXLkDvYs+53GBqbo3p96cVUXT1DTFt0RG7ego4TAAgNvonGbb+Eo6sv8vJycGznUqycOwpT/jwIHd3yb7/cvXochzbPRfehM+HsWRPXzu7Cv/NH44f5h2GmrI0SHYF//xyD+i164cuxfyDs6R3sXz8bBsbmqFZP3EbRNzBBy66jYW3nAk2hFoLvXMCu1T/D0MQcXtUaAwDG/bYLeXm5kuVGRTzDmrkjUL1+u3KLVZ31moWNMzp+Jd6Xc7IzcPXkRmxaOBzj552CgbE5sjLTsWnBcFRy9MaQHzcAAM7uX4ptf32NEdN3QkOj5IPOVOTzbxOLSgrn1jcv7MLlY+vgUU1afz8KOoWDG2aidc8JcK1SHyIR8C7iaYnXgbqut5iYV0LbPpNgYVMZAHDn8kFs/etbjJ29FzYO4g6kuHfhWPP7ANRu1hMte3wLXT0jxLwJhVBLRyFf9PFEEKg7C1QBlHrYrrFjx0IoFOLmzZvo06cPfHx84Ofnh549e+Lo0aPo0qULACApKQmjRo2CtbU1jI2N0bJlS9y7d09uWStWrICbmxu0tbXh5eWFzZs3y/39yZMnaNy4MXR1dVGlShWcPn0aAoEABw4cAACEhYVBIBBg165daN68OXR1dbFlyxbExcXhyy+/hIODA/T19eHn54ft27fLLbt58+b49ttv8e2338LU1BQWFhaYPn06RCL5E7P09HQMGzYMRkZGqFy5MlavXi35W8uWLfHtt9/KpY+Li4OOjg7Onj1b5HoUiUQYMmQIPD09ceXKFXTp0gUeHh6oWbMmBgwYgEuXLqFatWqS9JGRkejbty/MzMxgYWGBrl27IiwsTPL3IUOGoFu3bpg7dy7s7Ozg6ekpt36aNGkCPT091K1bF0+fPkVQUBDq1KkDQ0NDtG/fHjExMZJlBQUFoU2bNrC0tISJiQmaNWuG27dvy+VfIBBg7dq16N69O/T19eHh4YFDhw5JYnN3d8eCBfJ3cD58+BAaGhoIDQ0tct2URnLCOxzd8jt6jZkPTc2S9QXm5eVi96of0bLbtzC3clT4u0gkwqVja7FochvMGlkDy2Z0w8Ogk0Uu8/7Vw8jJzkSPEXNh4+CJqnXaomnn0bhycoPCNmVgZAEjUyvJR1nnQ3GunNiI2k17oE7z3rC2c0OnAT/BxLwSbpzZoTR90NkdMLWwRacBP8Hazg11mvdGraY9cPm4tBMk8OQmuFVtiGZdRsHKzhXNuoyCW5UGCDy5SW5ZGppCufwr6/wRamnLpdE3NC11jIC4LK6e2oSmXUajap22sHHwRM+R85CdmYH7146onO/qqfxYOufH0nkUXH0a4OopaSyBJzeiVtMeqNNMvA47DvgJxuaVcOPsjlL/tpa2rly8uvpG0nUhVFwXT+6eQ60mPSRPJZWHrcfPo2vzBujWwh8u+U+d2FiYYc/pK0XO979/d6J9w9rw83Aut7yVJZFIhGsBm9C08xhUqS0up+7D5yE7KwMPrqveRq4FbIJblYZo0mk0rGxd0aTTaLj4NMC1gI2SNB7VmqJVjwmoUrvtpwhFpSsnNqJ2sx6o27w3rO3d0Okr8f5+/azy/f1Gwf7+1U+wtndD3YL9/Zh0f3dw9UOHLyejWoNOEGop72j3qt4UbXpNkDT4KwKRSIQbpzehcacx8KndFtb2nug6TFzeD4so7+sBm+BapSEadxwNS1tXNO44Gi7eDXD9tLS8+09ci+qNesDa3gOVHL3RZehcJMW/wdtXjz5FaEVS1zagbkcP7ESLNp3Rst0XsHd0xuBRE2BhaY2AY/uVpre2scWQ0RPQtFUH6Okrv4hhaGQMUzMLyefB3SDo6OigQeOW5RlKuYk5eRFPf1mCqAMB6s5KmWjfyAAHz6fi5uMMRETnYNWeBGhrCdCwup7KeYJfZuHm4wy8iclBdHwuTl5Nw+t32fBylm7Xd55k4t7TTETF5SIqLhe7A1KQkSWCu+On3/YrQj2mKdSGoYmV5KP3ge20omK8FrAJTTqPQZX8NlT3ESVrv7lWbYimncXH5qadR4vbbzLH5sBTG1CzaU/UbtYbVnZu6NBf3H4LOit/ricUasPIxErykW2Lamhoyv3NyMQKwbdPo2q9DtDRVX5h8GPWhTrL269+F7hWaQgzK0dY23ugbd+pyHyfiuiIkDKNU1ncQWc2oWGHMfCq2RZW9p7oNPgPZGdl4PEN1XEHndkIF5+G8G8/GhaV3ODffjScvBsg6MxGuXRZGWk4tG4yOnz1O3T1TZQuKyXhHQJ2zEaXYQugUQ4dhIWdP7oJ9Vv0QIOWvWBj74bug6fC1KISrgQoP1YHnt4FU4tK6D54Kmzs3dCgZS/Ua94d545ukE8oEMDY1FLuI2v0tFWo16wbbB3dYe/kjS/H/I6E2LeIePm4nCKVd/H4BtRt3hP1W4jj7jpwGkwtbHH1tPK4r57ZCTMLW3QdOA029m6o36IX6jbrgQtH10vSuFWpB7+6rWFj7wZLm8po0n4gbCt74mWI9JqEobE5jE2tJJ/gOxdgYeMIV5+65RKnuuu1av5d4Fa1Icytxftyuy/F+/K7/H05/NltJMZGotuIubBx9IKNoxe6DZ+DyJcP8DL4WqnirMjn3xoamnLn1kamVnh86wx867WX1N+5uTk4tm0O2vX5AfVa9oNlJRdY2brAt27JO9bUdb3Fu2YLeFVvBstKLrCs5II2vSZAW1cfr0Ol11JP710Cz+pN0b7vZNg5VYG5tSO8ajSHobFFieMjotIpVedJXFwcTp06hW+++QYGBsoblgKBACKRCJ06dUJUVBSOHTuGW7duoVatWmjVqhXi4+MBAPv378f48ePx/fff4+HDhxg9ejSGDh2Kc+fOAQDy8vLQrVs36Ovr4/r161i9ejV+/ln5o7hTpkzBuHHjEBwcjHbt2iEjIwO1a9fGkSNH8PDhQ4waNQoDBw7E9evX5ebbuHEjhEIhrl+/jqVLl2Lx4sVYu3atXJqFCxeiTp06uHPnDsaOHYuvv/4aT548AQCMGDEC27ZtQ2am9JH/rVu3ws7ODi1aFH0H4927dxEcHIwffvhB5V0ABRdW09PT0aJFCxgaGuLixYu4fPmypNMjKytLkv7MmTMIDg5GQEAAjhyRHth++eUXTJ8+Hbdv34ZQKMSXX36JH3/8EX/99RcuXbqE0NBQzJw5U5I+JSUFgwcPxqVLl3Dt2jV4eHigY8eOSEmRvwt91qxZ6NOnD+7fv4+OHTtiwIABiI+Ph0AgwLBhw7B+/Xq59OvWrUOTJk3g5lb8sEElkZeXhz2rp6Bxh2HFPkIq69zB5TAwMkPtZr2U/v303r9w+9J+dBn0C77732E0bDsYe1f9iJdPbqhcZvjzu3D2rit3AcrdrxFSEqMlj1wWWP5LD/wxvgnW/zEUL4KvF15UsXJysvAm7BHcfRvJTXf3bYTw54pDkRTkr3B6D99GiAx7hNz8O3BfP78Hd9+GxS4zLuoV/hjfFAu+b42dyychPvq1wu+9fHIDc79thMU/tsf+dTOQmhxX6jgBICEmAqlJsXJ5F2ppw9m7rspYVcXi4SeNpah1+Do/TWl++961I5j7rT+W/tQZJ3bMR+b7NJV5e3LnHNJTElCrcfdiov9w2Tk5ePLyNRr4yd+J18DPC/efvVQ536EL1xAZHYuRPcp2uIryJC6nGLhVLVROXnUlZanM69C7cFMo/8Z4HXq3vLL6QVRuq36NEP5MeXyvn9+Fu1+h/d1Pfn//r0qMFZe3a6HydvKqi4giyjvixV24VpFfJ65VGyPi+V2V82Smi495egbKL8p8Kp/rNpCTnY2Xz0NQrWY9uenVatbD0ycPy+x3zp06Av+mraGrq/riPH0aVmaaMDXSxIPnGZJpObnAk7BMeFQueSdHVVdtVLIU4snLLKV/FwiABn660NEW4Fm48jTlqSLUY69CbmDhxIb45+d2OLJxBtI+sJ2mSsGxuXAbyqmYY3NE6F254zkAuPk2xuv8GHNysvA27BHcC6ep2givQ+WXG/bkBuaPa4ilU9vh4Pqi26Jvwh4iKjwYtZr0LGmIJVYRyrtAbk4Wbl/cCR09I9g4eJciitJLio1AWnIMnH0aS6YJtbTh6FEXkS9Ux/3mxV25eQDApUoThXlO7ZgNN99mcPaRb+8XEOXl4fCGyajXZnixw4SVhZycbES8fAyvavL58arWEGFP7ymdJ+zZPYX03tUb4fUL+WN1VkY6Zn/XBr9+0wpr5o9FxMvgIvPyPj0VAKBvWP7tl5ycLES+fAzPQm0OT7+GePXsrtJ5Xj27C08/+bg9qzVGxEvlbRSRSIRnD68i+m2YyqHAcnKycPvyYdRtVn43p1WEeq1ATk4Wbp3fCV09I9g4ivfl3JwsCAQCCIXS46VQSwcCgQbCn90qZZwV//y7QGTYI0SFB6N2U+m1nbevHiM54R0EGhr4Z6b42sumhaPwLvJZidaBuq+3FMjLy8X9a0eRlZmOyu418qflIeTeBVhWcsaGP0dg7reNsHJWXzy+dbpEsRHRhynVsF3Pnz+HSCSCl5f8BTlLS0tkZIhPdL755hu0a9cODx48QHR0NHR0xI+OLViwAAcOHMCePXswatQoLFiwAEOGDMHYsWMBAJMmTcK1a9ewYMECtGjRAqdOnUJoaCjOnz+PSpXEQzP873//Q5s2iuOdTpgwAT169JCb9sMPP0j+/9133+HEiRPYvXs36tevL5nu6OiIxYsXQyAQwMvLCw8ePMDixYsxcuRISZqOHTtK8jhlyhQsXrwY58+fh7e3N3r27InvvvsOBw8eRJ8+fQAA69evx5AhQ4o9aD99Kn5kUHZdRkdHw9VVOkbt/PnzMXbsWOzYsQMaGhpYu3atZLnr12xiNeAAAQAASURBVK+Hqakpzp8/j7ZtxXcFGxgYYO3atZLhugqeTPnhhx/Qrp24l338+PH48ssvcebMGTRqJK7chw8fjg0bNkh+t2VL+bsvV61aBTMzM1y4cAGdO3eWTB8yZAi+/PJLAMCcOXPw999/48aNG2jfvj2GDh2KmTNn4saNG6hXrx6ys7OxZcsW/Pnnn0rXR2ZmplwnFABkZ2nJPZJc2KVja6GhoYkGbQaqTFPYq2e3cfviXoydrfyu1azMdASe3IChU9ajsntNAIC5tSPCn91C0PldcPGup3S+1KRYmFnay00zNBbfFZSSFAMzKwcYmlqh65BZsHOuipycLNwLPIQN84di2NSNcPYq+R0y6SmJyMvLVRi71MDEAqlJsSrzZ2AifyeCoYkl8nJzkJ6aACNTa6QmxSos09DEUm6Zjq7V0GvUPFhUckZqcizOH1qJ1b/3x7g5h6BvaAYA8KzWBL5128HU0g4JMZE4vW8p1s0bgrGz9pb67uaC3y5Yl5J8GVsgMU5xjFu5eAvNY2AsjUWyDpUsNyU/TUl/u7p/Z3H5mljiXcQzBOxZjKjXTzBk8jooc+vSHrj7NYKJheLj+2UlMSUNuXl5MDcxlptubmKEWBVDcYVHRWPZjsNYM3M8hJqlfxpKXVKTxU/NGRS608bA2AJJxW4jivOkJsWomEM9VO3vhsaq9/eUxFh4+Cnf39NSE2BciiEOK5qC8il8Z1WJyrtQHWhgYiHZfgoTiUQ4tWseHD1qw9re8yNz/XE+120gOVkct4mZ/NONJmZmSLxdNhd6n4c8xutXLzB63LQyWR59HFMj8c1ESal5ctOTUvNgaVr0cUlPR4C/p9hAKBQgLw/YcDgRD0Pl25UONkL8OtoSWkIBMrJEWLI1Hm9iPv2QXequx9x9m6JKnfYwsbBDYkwEzh9cis0LhmDEjNK301TnVfmx2dDEAolK3lEgnS9WYb0Yyhyb01MSkJeXq3S5qQ+l9aGHX1NUrZsfY2wEzu5bio3zh2D0L8pjvH1xL6zs3FDZo1bpAi0BdZc3ADy9dw77Vn+P7Kz3MDKxwleT1kHfyOxDwikx1e0zSyTHFxF3svL2WZpM3I+DjuJd+GMMnrZH5XKunVoDDQ0h6rQc9CHZL7W0ZPG2aVSozIxMLJBcxLFaWfq83BykpiTCxMwK1nYu+HLM77Ct7IGM92m4eHwLlv46EJPn7YWVrZPCMkUiEQ5ung8Xr1qwdSz/TqO0/DZK4TgMTaTnVIWlJMXCUEXcaSmJMDazAgC8T0/B7982R05ONjQ0NNB9yAyFTpcCj26eQUZ6Cuo0Lb+b09RdrwFAyN1z2LNSvC8bmlhh0A/rYJC/Lzu41oCWjh4Cdi9Aq54TAYgQsGsBRKI8pCSW/Pzmv3D+Lev2xT359XdNybSCmzvPHliGDv2mwtTKHldOrMe6uYMwft5xGBiZqoxDLq9quN4CiN+lu/q3L5GTnQltXX30H/c3rO3dAQBpyXHIykjHxSNr0brnOLTr8z2ePriM7X+Pw7CpG1ReryKij/NBbyMv3DFw48YN5OXlYcCAAcjMzMStW7eQmpoKCwv5yuP9+/eSIZuCg4MxatQoub83atQIf/31FwAgJCQEjo6Oko4TAKhXT3lFUKeO/B0Iubm5mDdvHnbu3InIyEjJhfnCT8s0aNBALhZ/f38sXLgQubm50My/eCg7dJZAIEClSpUQHR0NANDR0cFXX32FdevWoU+fPrh79y7u3bsnGVasJGR/38LCAnfv3gUgHlas4KmSW7du4fnz5zAyMpKbNyMjQ24ILD8/P6XvOZGNwcbGRpJWdlpBTIC4E2fmzJk4e/Ys3r17h9zcXKSnpyM8PFzlcg0MDGBkZCRZjq2tLTp16oR169ahXr16OHLkCDIyMtC7d2+l62Hu3LmYNWuW3LRew2ai94hfAAD3Ag/j0MZfJX/7auIKXDu1GV/P2lviu0sy36dhz6of0XXobEkjo7DoyFDkZGdi458j5Kbn5mTD1skHALD0p85IihO/p8LJszYGfZ8/lJtCPsTDdQnyx0i0shU/LlqgsntNJMVF4fLx9aXqPJFQ+DmRkjzIJpf/m3Q4MYFcqsJpZNev/IvKPFHZvQYWTW6HO5cPolH7IQAAv/odJSlsHDxh71IVCya1Rsi986hap+jhf5SVM6AYljjvRZe7wnYhEimsg8JfRUrSFPfbdZr3kfzfxsETFpWcsfLXXngT9gh2zlXl5k2Kj8LzB1fQd+ziIvNeVpSsAqVrLTcvD9P/2YRRPTvAybZiX1S9f/UwDm/6RfJ9wISVAJSUt3hikctS2B5E4qkVkWLtUsz+rqzwoSTmCu7BtcM4ulla3l+OW5n/P8WyKy620pT3iW2/IToiBEOmbCtdhsvR57oNKCu3srqr9FzAETg6ucLdq0qZLI9Kp2F1PQzrKr0zesGmeKXpBEBBk0qljCwRfl4WAx0dAaq66mBABxPExOciWObpk7exOfh5WQz09TRQt6ouRvcyxe9r4sq9A6Wi1WNV60nbadb2nrB19sXSKa3w7P55+HzgMJX3rx7G4Y3FH5tFJdh/lf1dsW2mZLkyaXwLtUXtnH2x+IdWeHrvPKoUaotmZ2XgwbUjaPrF10Xmq6QqWnkDgLN3fYyauR/pqQm4c2k39q6agGE/7VK4WPsxHl0/hBPbpHH3/mYVANXHoqIon0c8LTn+LU7v+h/6jl+ncnz/qFcPcfPsJgz5aV+5DpGrjGKZiYrMg6rzs4J5nD2qw9lD+q4XF8+aWPhTb1w6uRU9hvyksLy96/+HN+FPMe7XTQp/K1dFlJnS5KrOS2Um6+gaYOKcfcjMSMfzR9dweOt8WFg7wq2K4jWhG+f3wat6E5iYld15TEWr1wDAxac+xswS78u3LuzGrhUTMHLGLhgaW8DA2Bx9xi7BkU2zcP30ZggEGvCt3wm2TlWKHCb8v3j+XSA7KwP3rx5F80L1d8H21KzLGMnwwz2Gz8Gfk5rjUdBJ1GvZt8g4VOX1U1xvAQBLW2d889s+ZKSn4FHQKexdMw0jpm2Ctb27ZJk+tVpKrr/YOvng9bM7uHF2JztPiMpJqTpP3N3dIRAIJMNWFSh4WkJPTzzkQV5eHmxtbXH+/HmFZZiamkr+r3iAkFYcyioRVQp3iixcuBCLFy/GkiVL4OfnBwMDA0yYMEFuiKuSKvzyeYFAgLw86R1xI0aMQI0aNRAREYF169ahVatWcHJSvAukMA8P8Z0gT548QY0aNQAAmpqacHcX9ygLhdKiycvLQ+3atbF161aF5VhZWUn+r2ooNdkYCtZp4WmyMQ0ZMgQxMTFYsmQJnJycoKOjA39/f4X1V5J1M3DgQCxevBjr169H3759oa+v/KV106ZNw6RJk+SmHb4jXb53zZZwcJN21jwMOom0lDgs/F76lExeXi5O7JiPq6c24fuFZxR+Iz46HImxkdi6ZKxkmkgkzu8vw3wxft4xyfevJq6AsZmN3PwFj8AOmrQKubniE+2CF4Mru2OgYHiAwncXyHJwq457Vw+r/Lsy+kam0NDQRGqi/O+lJcerHOdSWf7SkuOgoSmUjAEtThOjkKaoEyttHX3YOHggLipMZRojU2uYWtoi7t2rIqISK1zOOTnibS4lKRZGMndKp6XEK9yxJEtpLClxkrtBJOuw8DqRWW5BuZX2t+2cqkBTUwtx714pdJ7cvrQP+oam8K5Zvi8mNjUygKaGBuISk+WmJySnwMLESCF9+vsMPH7xGiFhkfhz414AQJ5IBJFIhPoDJ2LZ1K9Rt6p6774v4FWjBexdpdtIbv42klq4nJLjihz31dDEEqnJhcs/rsj9VR0KttXCd+8Vtb8bmVoqpE8ttL//V3jWaAF7F8U6ITW58H5ZdF2lqg4sfGcbIL4A9fTuWQz6cQuMzRVfSv6pfa7bgLGxOO7EBPmnTJISE2Bi+vEvOc7MyEDgxdPoPWBE8YmpXNwOzkDoa2nbUigUt1FNDDWQmCJtTxobaig8jVKYSAS8ixe/ODj8bQ7srYXo0swQwS+lHTK5uQVpcvEyMhuu9tpo39AA6w4mlWFUiip6PWZkag1TCzvERxffTlOlNMfm4mJUVncZ5B+b9Y3MlLffkuMU7viVZWRqDRMLO6Vt0cc3TyI7KwM1GnZTHWApVMTy1tbRh7mNE8xtnODgVgP//NQOdy7vQeOOo0sdnyru1VtimMwL3XNktgHZl7WL41bd1jI0VhJ3SrxknqjwR0hPicOGOdJRJ0R5uXj9PAi3zm/F5GUP8Pr5TaSlxGH5Ty3k0pzd8weCzmzC2DlFv5v0QxgYi7fNwk+ZpCTHw6iIY3Xh9KnJ8dDQFMJAxZBbGhoaqOzqi5iocIW/7V0/B49uncO3v2yEqcWnab8YFLRREhXjKPw0SgEjpft5QdymkmkaGhqwrCS+rmLv7IPoNy9w9tAahc6ThJhIPHt4FYMm/FUGEUlVxHpNW0cfFjZOsLBxgqNbDfw1pR1uX9yDpp3F+7K7b2NMmB+AtJQEaGhqQk/fGH+ObwxTKweV+fsvn38/Csqvvxt1lZtuZCq+RmZtJx0uXqilDXMrRyTm3wRbFHVfbxEKtWFhk7/tu/gi4uUDBJ7ajG5DZ4nzpimElUxsAGBl54pXT+XfU0xEZadUnScWFhZo06YNli1bhu+++07lxfpatWohKioKQqEQzs7OStP4+Pjg8uXLGDRI+ihtYGAgfHzEd/d7e3sjPDwc7969kzwtERQUVKJ8Xrp0CV27dsVXX30FQNz58OzZM8myC1y7dk3hu4eHh+Spk5Lw8/NDnTp1sGbNGmzbtg1///13iearWbMmvL29sWDBAvTp00fle08A8frcuXMnrK2tYWxsrDJdWbl06RKWL1+Ojh3Fd229fv0asbHKH08sSseOHWFgYIAVK1bg+PHjuHjxosq0Ojo6kiHeCmhpS0+UdfQMoKMn3d7qNu8N7xrN5dJvXDASNRp+gZpN5IdwK2Bp64pvfz8oN+303qXIykhDxwHTYGxeCQZGFhAKtZEU91Zlr71poeG5AKCyew0E7FmCnJwsSSfL84dX8jsOFNMXeBseLDm4l5RQqA0756p4/igQVepIh7F7/igQPjWVv/C2snsNPLl7Xm7a84dXYO9cFZpCcSeVo3t1hD4KlNzBIE4TKBm+TJmc7CzEvHkBJ8/aKtOkpyYgKT4KRibFx1m4nEUiEQxNLBH6KBB2TuI7g3NyshD2JAht+3yvcjmO7tXx/FEgGrZTHkvBOgx9FIgqtaXrMPRRILzz12HBUFyl/e3oyGfIzc1WKFeRSIQ7l/ejRqOuknVeXrSEQni7OOL6wxC0qCs9kb3+IATNavsppDfQ08WOeVPkpu05fRlBj57hj/FDYW9VcV4+p6NnCB096YugxduIFUIfB8JWtpxCgtCmdxHbiFsNhD4KhH/bIZJpoQ+vwNGtRnll/YNI9veHgagqu78/DIRPLeX7u6N7DTy5c15uWuH9/b9CR9cQOrqK5f3yUSBsK4vLOzcnC69CgtCql+rydnCtgZePA9FAprxfPL4Ch/zxgwuWfWLbbwi5cxoDJ2+CWREnmp/S57oNCLW04OLuhQd3g1CvYTPJ9Ad3g1CnfuMi5iyZq5fPICc7G01alPzloVS2MrJEyMjv8CiQmJILX3ddvHorHrNfUxPwdtbBzpPJyhZRJC3N4u6QlXbYlKeKXo+J22lvYViCdpoqKo/Nj+SPza9CgtC6iGOzg1sNvCjUfgt9dAWO+TEKhdqwzW+/+ci03148DoRXDeX1ISCOMTn+rdI29+2Le+BVswUMjD++Uxao+OVdMF9udtm+70dZ3AbGVggLvoJKMnG/fhaE5t1/ULUY2LnWQFjwFdRrPUQyLSz4MuxdxW14J+8GGD5D/sazo5umwaKSKxq0HQkNDU341u8KZ2/54Z12Lh0O3wZd4eev/DzxYwmFWnBwqYKn96+iWt3WkulPH1yFb23lN005e1THo9vn5aaF3A+Eo6vqY7VIJELkqydyQ3KJRCLs2zAHD4LO4JsZ62Fh/enaL0KhNuxdquDZw0D4ycUdiKq1le+TTh418Pj2OblpTx9cgYNL0W0UkUgkubAvK+jifhiamMOnZjMlc324il6v5edK0qkjq2CUjRePryEtJQ7eNVTfuPdfPv++dXGv0vrbzrkqhEJtxL59KblOkZuTjYTYSJha2qmMoUBFut5SoKCcxfucL2Kj5N9jGhsVVqLYqPREglK9Kpz+nyr1VrB8+XLk5OSgTp062LlzJ4KDgxESEoItW7bgyZMn0NTUROvWreHv749u3brh5MmTCAsLQ2BgIKZPn46bN28CACZPnowNGzZg5cqVePbsGRYtWoR9+/ZJ3lXSpk0buLm5YfDgwbh//z6uXLkieWF8cU+kuLu7IyAgAIGBgQgODsbo0aMRFRWlkO7169eYNGkSQkJCsH37dvz9998YP358aVcJRowYgXnz5iE3Nxfdu5dsnE2BQID169cjJCQEjRo1wqFDh/Ds2TM8fvwYK1euRExMjKQTZ8CAAbC0tETXrl1x6dIlvHz5EhcuXMD48eMRERFR6vwWx93dHZs3b0ZwcDCuX7+OAQMGSJ4qKg1NTU0MGTIE06ZNg7u7O/z9/cssj/qGZrBx8JT7aGoKYWhiKTc01p7VU3Bq9yIAgJa2jsI8evpG0NY1gI2DJ4RCbejoGaBRh6E4vn0e7lw+gPjocLx59RjXT2/FncsHVOanWoPOEAq1sW/tT3gX8RSPbwXg4pHVaNRO+v6bwJMb8fjWacRFheFd5DOc2r0Ij2+eQv1W/Usdf6P2g3Hrwl7curgX0W9CcWzrXCTFvUXd/EdQT+1ahD2rpBfD67bsh8TYNzi2bR6i34Ti1sW9uHVxHxp3GCZJ07DtIDx/GIiLR9cg5s0LXDy6BqGPr6JhO2kH5/Ht8/HyyQ3Ex0Tgdeg9bF82HpnvU1GzcTcAQGZGGo5vn4/w53eQEBOJF8E3sHnxWOgbmsk1kkpKIBDAv+0gXDy8Go9vBeBdxFPsW/sTtHR0Ua2B9P07suUMAP5tBiFUSSz+baWxNGxXaB1uE6/Dei36lvi346PDce7gP4h8+RAJMZF4eu8CdvwzEbZOPgrjZr8IvoaEmAjUalr2LyNVZkCH5jhw7hoOnr+Gl5FRWLh5H6LiEtCzlfhdR8t2HMbMFVsAiO/scne0k/uYGRtBR0sL7o520NNV/e4hdRMIBGjQZhAuHVmF4PxyOvDvNGhp68KvvnQb2bdmCk7vWSj5Xr/NQIQ+uoLLx9Yg5u0LXD62Bi+Cr6JBm8GSNJkZaXgbHoy34eIXcybGRuBteHCR4/2Wh4L9/eaFvYiODMXR/P294JHzk7sWYbfM/l6vYH/fOg/RkaG4eWEvbl3Yh8Ydpft7Tk4W3rwKxptXwcjNyUZyQjTevAqWuys3MyNNkgYQv8TxzavgIsd1Lm8CgQD1Wg/C5WOr8OR2AKIjn+LgOnF5+8qU94F/p+DMXml512s9EKGPr+DK8TWIffsCV46vwcvgq6jfWlrex7fOxoNrh9F95ALo6BogNSkGqUkxyM7KgLqpaxtQt07d+uLsqcM4d+oIIl+HYeOavxAb8w6tO4rbWts3rMA/C3+TmyfsxVOEvXiKzIx0JCclIuzFU0SEv1RY9rlTR1CnQRMYGZf/C3XLk6aBPoyre8O4uviFsfouDjCu7g1dx/J7r1Z5OnElDV80M0SdKrpwsBZidE9TZGWLEHjvvSTN6F6m6NNW+hRll6aG8HXTgZWZJmwthejQyACNa+rjisw8fdoYwctJG5ammnCwEaJ3GyP4uGgj8O57fGrqrMeyMtIQsOsPRITeQWJsBMKeXMfOv7+GvpEZvGtJL3yWRYwKx+a10xTab/vWTEHAbmmMDfKPzZeOio/Nl46uwYvHV+Evc2xu2HYIbl/cg9sX9yLmTSiOb89vA7foB0B87Dq54w+8fn4HCbERePnkOrYtEcfoUyjGuHev8OrpTdRqqnxY4bJaF2or78x0nN23CBGhd5EYF4m3rx7h8IbpSE6Igk+d9uUWc0HcdVsNwtUTqxByJwAxkU9xdKM47ir1pHEfXv8jzu+Xxl2n5SC8DL6CaydXIy4qFNdOrkZY8FXUbSWOW0fXEFb2nnIfLW196BmYwir/XS96hmYKaTQ0tWBgbAmLSq4oL807DcK1c3tx/dw+vIsMxf5NfyAh9i0athYfq49sX4yty6Xv2GrYug8SYt/iwOb5eBcZiuvn9uH6uX1o0WmIJM2JPcvx5N4VxL57jciwJ9ixagYiX4VIlgkAe9f9jpuXj+Crb/+Ajp4BkhNjkZwYi6xP1H5p2mEIbpzbgxvn9+JdZCgObZ6HxLi38G8lzuOxHYuwfcVUSXr/Vn2REPcWh7b8gXeRobhxfi+Czu9Fs05DJWnOHlyNpw8CERf9GtFvXuDCsQ24dfkQajXqIvfbeXl5CLqwH3WadIOm5geNSF9i6qzXsjLTcXrPIrwOvYvE2Ei8CXuEg+umIzk+ClXrSvflO5f24nXoXcRHh+Ne4CHsWj4eDdoOhqVtybf7in7+XaCg/q4j86L4Arp6hqjboi/OHliG5w+vIObtSxzeJB4i3rduyW6aUdf1llO7FyMs5CYSYiIR9fopAvYswcvgG6juL42/SYdheHj9BILO70Lcu1e4FrAVIXfPo16rL0sUGxGVXqmPMG5ubrhz5w7mzJmDadOmISIiAjo6OqhSpQp++OEHjB37f+zdd1RURxsG8GcBBelK792uqNiw9y4aY4m9xoKJPTHWRJNYYjfGGKPYu2JHxV7Aih2xgCLSpPcO+/2xsAVYBASXfDy/c/Yc2J29d947c2fm7tziCoFAAA8PDyxYsADjxo1DZGQkjI2N0a5dO/FVJP3798eGDRuwatUqTJs2DTY2NtixYwc6dOgAQPTD+4kTJzBhwgQ0a9YMtra2WLVqFfr27Qs1NbUi87ho0SK8e/cO3bt3h7q6OiZOnIj+/fsjPl72svxRo0YhNTUVzZs3h7KyMr7//vsCz2EpjqFDh2LGjBkYNmzYJ/MmrWXLlvDx8cGyZcswdepUhIeHQ0NDA46Ojli3bh3GjRM1tOrq6rhx4wbmzp2LAQMGIDExEWZmZujcuXO5XIni5uaGiRMnonHjxrC0tMSyZcvEk1olNX78eCxbtkwcy5cWHx0GpRLOFHceMB0a2nq4cWYrYiODoaauBROrumjfV37dUFPXwugftuPMnqXY8ssgqGloo1X3MWgldVZBdnYmLhxahYTYj6hSVQ2GZvYYOXMLajqW/CyZBi16ISUpDldPbkZiXCSMzBwwctYW8UPrE+MjERcjuSS1hoE5Rs3eAo/9K3D38n5o6Rqi94j54nuAAoClQ2MMdl2DS8c24PKxP1HD0AJDXNfAwk5y5UJCbDgO/z0HKYlxUNeqDgt7R0xafFC8XiUlZXwMfo3HXieRlpIITV192NZpgSGua2XOaCmJtr0mICsjHad3L0VacgLM7Rpi9JxtMsvLX86WDo0xaMoaXD62AVfc/0R1QwsMniIbS942vHZyMxLjJdtQ+kqhT61bWbkK3r64g9uee5CRngKdGiao6dgeHfu5Fri3rM+NY7C0byxz+XB56ubcBPFJydh2/AKi4uJhZ26CDT9MgomB6MycqLgEhEfHfpG8lLfWPScgMyMNZ/cuRWpyPMxtG2Lk7O0yZ4vFx4RCoCSZeLe0b4KBk9fgivsGXDm+ETUMLTBw8lqYS9WR0MDn2PWH5MDmwsEVAADH1v3x1fgVXyAykYYt8+3v5g4YNVtqf4+LFD+HCRDt76PnbMHZfStw5/J+aOsaovfI+agvtb8nxkbir0WSsy9vnXPDrXNusKndDBPmi+6THfLOF9uXS+L32L8SANC4TX8MnLi8XGMuSqseE5CVkYZz+0TlbWbbEMNnbZc54zUhOlTmRAsL+yYYMHENrp3YgGsnNqK6gQUGTFwLM1tJeftcOwAA2L1K9uGyLmOXwbF1+ZypWlyKqgOK1qpdFyQlJuDYwR2Ii4mGhZUtfvplNQwMRbcjiY2NRlTkR5nv/DRN8uPLW/9X8Lp+EfqGxtjkdkz8fmhIEF69eIr5v36Z50+VJx2n+nC+vEf8f93Vonvgf9jtjqfj58n7WoV15mYSqlYRYIyLDtTVlBAQnIGVO6KRliF5ToK+jrLMYxNUq4rS19BRRkamEKGRWfj7SCzuPpP8cKitqYTJg3Shq6WMlLQcfAjPwh87Ywo8VP5LUVQ7JlBSRkTIazy9LRqnaekYwKp2cwyYtE5m3WWhTa8JyMpMw5k9S5GWHA8zu0L65nwxWjpI+uarxzeiuqEFBuXrm+u36IWU5DhcP/UXEuMjYWjmgOEz/xGP3/LGok+888aiBrCp3RyDpqyTWTcg+qFRS9cIdvVal2ns+SmqvJWUlBEV9g5PvachJSkW1TR0YWrTAGPm7oOhWfk/TLxFt2+RmZEOzwNLkJYSD1MbRwyZ5iYbd0wYBFJjeHO7Jug3fi1unFqPG6dEcff7dh1MpW4JVlE1du6J5MR4XHDfgoS4SJhYOGDi3L9Rw0B0NnhCXBRioyR9tZ6hOb79cTNO7PkDtzwPQKe6Ib4aPQ+OLSQnnKWmJOLwtl+QEBeFaupaMLOuje8X74SVveRKcq9LhwAAf/0q6f8AYOjk39C8ff9yjFikkXNPpCTF4dLxv5EQFwljcweM/+EfVDcQ7ZMJcVEyt0qqYWiO8T9swem9K+B9cT+0qxui36j5aNhcMkbJSE/F8R1LERfzEVWqqsLQ1BZDp6xEI+eeMut+8/w24qLD0Kz9lxmnKapdE+Tuy4+9RPuyuqYuTK0bYNw82X05KjwQl46uQ2pyPHT1TdGu72SZq+yLqyIff+d5eNMdWtWNYFe/8Pa7+5AfoKSsgqNb5yIrIw3mdg0xdu4OVNMo3kkzivq9JSkhCke3zkViXCTUqmnByKImRs/ZCnupOOs27QqXMT/jxpmtOLt3GfRNbDD0+w2wLuJuIET0eQRCofThR8Xm5eWFNm3awN/fH3Z2n/cDZIcOHdCoUSOsX7/+s/P14cMHWFtb4/79+2jSpMmnv1CJeHl5oUOHDggODhZPnBXX4dtF39/6/9UXfq5hhfHfaYnKVs8qnorOgkKcSa+ct8qpolI5K3paRuVs2NSqVs7ytqtR+IO//9+F1i3fH2ArqgM/Xv10ov9DPXr8N6/u+Vwqxb+78f+VrOxPp/l/lJlVOftvI51MRWdBIbJyKuftaVIyKmfcSoLKOU6trL+3DGpZOev55/rw5oWis/CfY+FQV9FZKHPle23jZzp+/Dg0NTXh4OAAf39/TJ8+Ha1bt/7siZOykpmZibCwMPz0009o2bIlJ06kpKen48OHD1i0aBEGDx5c4okTIiIiIiIiIiIiIiJFqdBTj4mJiXB1dUXt2rUxZswYNGvWDCdPnvz0F78QLy8vWFlZwcfHB1u2bJH57ObNm9DU1JT7+n934MAB1KpVC/Hx8fjjjz8UnR0iIiIiIiIiIiIiomL7T922678kNTUVISEhcj+3t7f/grn5b+JtuyqXytoS8bZdlQtv21W58LZdlQtv21W58LZdlQtv21W58LZdlQtv21W5VNbfW3jbrtIJeuOn6Cz851g61FF0Fspchb5t139ZtWrVOEFCRERERERERERERPQfxKlHIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCB8YTEREREREREREREeUSCnjNAfHKEyIiIiIiIiIiIiIiIhmcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKSqKzgARERERERERERERUUUhhEDRWaAKgFeeEBERERERERERERERSeHkCRERERERERERERERkRROnhAREREREREREREREUnh5AkREREREREREREREZEUTp4QERERERERERERERFJUVF0BoiIiIiIiIiIiIiIKgqhgNccEK88ISIiIiIiIiIiIiIiksHJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKSqKzgARERERERERERERUUUhhEDRWaAKgFeeEBERERERERERERERSeHkCRERERERERERERERkRROnhAREREREREREREREUnh5AkREREREREREREREZEUTp4QERERERERERERERFJUVF0Bojkyc4RKDoLCqGiLFR0FhRCUDmLG3+/76boLCiEjVnlrOeZWZWzoqurVs7yzqik5f3og76is6AQV368qugsKMTQPzoqOgsKkd7PT9FZUIicytmcQyisnO25arUcRWdBIZLSlRWdBYWorMffVVQqZ8OWUzl3b2RlV856TqUjrKw/VJEMXnlCREREREREREREREQkhZMnREREREREREREREREUjh5QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJERERERERERERERCRFRdEZICIiIiIiIiIiIiKqKIRCgaKzQBUArzwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpKiougMEBERERERERERERFVFEJec0DglSdEREREREREREREREQyOHlCREREREREREREREQkhZMnREREREREREREREREUjh5QkREREREREREREREJIWTJ0RERERERERERERERFJUFJ0BIiIiIiIiIiIiIqKKQgiBorNAFQCvPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIikqKi6AwQEREREREREREREVUUQggUnQWqAHjlCRERERERERERERERkRROnhAREREREREREREREUnh5AkREREREREREREREZEUTp4QERERERERERERERFJ4eQJERERERERERERERGRFBVFZ4CIiIiIiIiIiIiIqKIQQqDoLFAFwCtPiIiIiIiIiIiIiIiIpHDyRMGsra2xfv16RWfjs40ZMwb9+/dXdDaIiIiIiIiIiIiIiD5bhb1tV3h4OJYvX46zZ88iODgYOjo6cHBwwIgRIzBq1Cioq6srOov/CW/fvsWCBQtw/fp1xMTEQF9fH05OTli1ahVq1qxZZuvZsGEDhEJhmS2vJIRCIa6d3ASf64eRlpIAM9uG6D1iMQzNHIr83osHF3Dl+EbERgahuoElOg+YgTpOXWXS3LuyH97ntyMxLhKGZvboMXQ+rGo2FX+eFB+Fi0dXI+C5F9JSE2FVsyl6DV8IPSNrcZqYiCB4HvoDQW98kJWVAfv6bdFr+EJo6uh/Vtx3L+/HTQ83JMVHwtDUHr2Gz4N1raZy0797eQ/n9q9ERKg/tHQN0bbXeDTv9I1MGt/7nrjkvhExEUGoYWiJrl9PR92mXQtd3vXTW3Hx6Do4dxuJ3sPni99PT0uG5+G18Ht4GSlJcaiub4aWXUegReehnxWvIuO+e/kA7l05iLioEACAoZk9OvZzRU3HduI0SfFRuHB4DfyfeyEtJRHWtZqi94gF0De2LpO4i0MoFOLR5b/w6v5hpKcmwMCiIVq5LEJ1I/n7QuzHN3h46U9EhfgiKS4ULXr/hPqtR8uk8btzAH73DiIpVhS/rqE9GndyhUWtdoUtslwpovzTU5NxyX0DXvhcQnJCDEys6qD38Pkwt21QbnEWprzausBX9+F9fjtCA32RFB+JId9tQp0mXWSWcfXEn3h+zwMJMeFQVqkCE6t66DxgBsztHMsl1jy3L+3HzbNuSIwXtcF9RsyDTRHl/dbvHs7uX4mIEFF5t+89Hi06S8r7Y/AbXDz2J0ICfREXFYrew39Cmx6y9X3lzM6IiwotsOyWnYei35jFZRecFOmyTU1OgLltQ/QeWfyyzau78voxr3PbkRQXCQMze/QcJtuPAUBkaAAuHlmNwFf3IRTmwNDUAYNc10FXzxQAsGPFSAS+ui/znfrNe2HQlLVlEL0soVAIr7Ob8OTWIaSlJMDE2hFdv1kMA9Oit8Wrhxdw8/QGxEUFQVffEu36zUTNRpJtcevMn/A6u0nmOxra+vhupZdMGr8HZ5EYGw4l5SowtqyHdv1mwtSmfOu5PAM6aaFjM3VoVFNCwIcM7Dwdj5CILLnpm9ZVg0sHTRjVUIGyMvAxOhset5Lg9ThVnKZzc3V0bqEBA11lAEBwRBaOX03E09fp5R5PWarRpilsZ4+HTpP6UDM1xIOvXfHx1GVFZ6tYKku7dufSftzykMTZuxj9tYdUnG17j0eLfP318/ueuHRMqr8eOB318vfXx0T9dVJCDEyt6qD3CNn+Oj0tGRcOr4Wfj2Sc6tyt7MapijwuSU9LxqWja/Dy0WWkJsVBV98MLbqMRLOOsrF98H+Ey+7rEfL2KZSUVWBsWRsjZv6LKlXVSh23IsZnq2cXXq9bdB6KvqMWIzsrE5eObcDrpzcQExEMNXVN2NV1RrfBs6Fd3bDUcd4654ak3DLoOezTcZ4/kFuvqxuiTc/C47ws1Zd3+Xo66uYr+0+t1/eBJx5cO4zQQF+kJMXBdYk7TKzqyCwjMS4SFw6tQoDvbaSnJUPfxBrt+kxC/WbdS7wdKno9L6/j7+Io67bvY/AbXHaXtPG9hv2E1vna+PImFApx9cRfeCA1Tu0zahGMPlHen1u3s7MyccldtA/H5u7DtnWd0W2Q7D58/9phPL19BmHvXyA9LRnz/7qLahraZb8hoNjjsRc+nvC5dgih732RmhSHSb8ch4llnfyrIqJyUCGvPHn79i0aN24MT09PLFu2DI8ePcKlS5cwc+ZMnD59GpcuXVJo/jIzMxW6/uLKyMhA165dkZCQAHd3d7x69QqHDh1C/fr1ER8fX6br0tHRga6ubpkus7i8zm3Dbc+d6DViEb5ddASaOgbYvXoc0lOT5H7ng/8jHNkyC46tXDB5yUk4tnLBkS0zERzwRJzm+T0PnD+wHG37TMbkX47D0qEp9q6biLho0SBdKBTi4KapiI0MxtBpmzH5Z3fo6pli9+pxyEhPAQBkpKdgz5rxgECA0T/uxPj5+5GdnYn9G6cgJyen1DE/u+sBj30r0KHvJLgudYdVLSfsXjNJnLf8YiKDsXvNZFjVcoLrUne07zMRZ/cug+99T3GaIP9HOLR5Fhq1csF3v55Ao1YuOLh5Fj5IbZM8wW+f4f61wzC2qFXgM4/9K/Dm2S0MnPQHpi8/i1bdR+Ps3t/h9/Dzf9RQVNw6NYzRbfAsTFlyBFOWHIFt3ZbYt+E7fAx+A0BUF/Zt+A4xER8wfPpfcF3qDh09U+z4Q1IXvoSnN7bhuddOOPddCBfXw6imqY/zbuORkZ4s9ztZmWnQqmGBpt1noZpW4QcUGjrGaNZ9FvpNPYJ+U4/A1K4lLu39DrEf35RXKIVSVPkfd1uIgOfeGDhxJb7//STs67fGjj/GISHmY7nHLK282rrM9FQYWdRGrxGL5C5Hz9gavYYvwpSlpzBu3j7o6pthz9rxSE6IKdMYpT2944Gze1egY79J+P5Xd1jXcsLOVZMK/aEEAGIigrFz9WRY13LC97+6o6PLRJzeswzPpco7IyMNNQwt0GPwLGjJOYCeuuQI5v95Q/waP3c7AKBBix5lH2SuWx7bcPvCTvQavggTF5egbP+ehYbOLpiy9CQaOrvg8N/5+rG7Hji/fzna9ZmMyUuOw6pmU+xdO1Fmn4mJCML2ZcOgb2KLsXN3Y8qSk2jvMgUqVVRl1ufUfhDmrL8pfvUdvaTsNwSAu57/4v7lHegyZDFGzT0KDW19HN44Fulp8rdFyNtHOLl9Juq16IexC06iXot+OPnvDIS+k+2/9E0cMHXFLfFr3MLTMp/XMLRG1yGLMW7haQyfsx86emY4tHEcUhLLr57L06etJnq21sCu0/FYvDkScUk5+GmsHtSqyr/vcnJqDk5dS8KSf6Iw/89I3PBJwcQBumhgLynLmIRsHLqQgEWbI7FocyRevE3HrOE1YGZYYc+nKpSyhjoSnr6C7/Slis5KiVSWdu3pHVF/3d5lEqYudYd1TSfsWl1EnJHB2LV6MqxrOmHqUne07zsRZ/PFGfTmEQ79NQuNW7vg+99OoHFrFxz8K19/vX0h/H29MXDSSkxbJuqv3VaOQ7xUf+2xbwXePL2FQZP/wIwVZ9Gqx2ic2fM7XviUzeSboo5LAODCwRXwf34LA779A1N/P4uWXUfDY99vePnossy69q77Fnb1WuPbRYcxcfERNO88HAJB6X8WUNT4bMrPRzB3ww3xa8yPonpdr5moXmdmpCH0/Qt0cJkC16XHMOz7jYj6GIi9611LHee5/SvQvu8kTFnqDquaTtizVn6csZHB2LN2MqxqOmHKUne06zMRHvsKxnn4b1HZT116Ao6tXHAoX5zFWW9meiosHRqj66BZcvN/7N+5iAoPxPAZf+G7306irlNXHN48C6HvX5R4W1Tkel5ex9/FUR5tX2ZGGqobWKD74FlfZPKnMDc9tsH7wk70HrEQk38+DE0dfexaNR7pqfKPMcuibmdmpCEsdx+esuQYhn63EdHhgdi3QXYfzkxPhUODtmjXZ1L5bAApijwey0xPhYVDE3QZOLtMYyKiT6uQkyeurq5QUVHBgwcPMHjwYNSpUwcNGjTA119/jbNnz6Jv374AgPj4eEycOBGGhobQ1tZGp06d8OSJ7IHy33//DTs7O1StWhW1atXCnj17ZD5/+fIl2rRpAzU1NdStWxeXLl2CQCDAiRMnAACBgYEQCAQ4fPgwOnToADU1NezduxfR0dEYOnQozM3Noa6ujgYNGuDAgQMyy+7QoQO+++47fPfdd9DV1YWenh4WLlxY4AqNlJQUjBs3DlpaWrC0tMTWrVvFn3Xq1AnfffedTPro6GioqqriypUrRW7HFy9e4O3bt9i8eTNatmwJKysrtG7dGr///juaNWsmE9/BgwfRqlUrqKmpoV69erh27Zp4OdnZ2Rg/fjxsbGxQrVo11KpVCxs2bJBZV/7bdnXo0AHTpk3Djz/+iBo1asDY2Bi//PJLkfktDaFQiDsXd6Ndn8mo69QNRuY18dX4FcjMSMOzu2fkfu/Oxd2wq9sKbXtPgoGJLdr2ngSbOi1x5+IucZrbF3aiSduv4dRuEAxM7dBz2Hzo1DDGg6uico7+GIjggCfoM/JnmNk0gL6JLXqP/BkZacl4dvcsACDozUPERYWg//jlMDKvBSPzWug/bhlC3z3DO787pY7b6/wuOLUbgKYdBsHQ1A69h4vydu/ywULT379yELp6Jug9fD4MTe3QtMMgNGk3ALfOuYnTeF/YDbt6rdC+70QYmNqifd+JsKvbEt4XdsssKz0tGUe2/ID+45ZCrZAzOj74P0bjNv1gW6c5qhuYoVnHwTC2qIWQd89LHa+i467duCNqObaHvrEN9I1t0HXgDFRVUxcP/qI/BuJDwBO4jP4Z5rYNYGBiA5fRi5GRloKnt89+dtzFIRQK4eu9G44dJsG6fjfUMK6J9oNWICszDW8fy98XDMwboHnPH2Dn2BvKylULTWNZpyMsarWHjr4NdPRt0LTbDKhUVUfEh4ITa+VJEeWfmZGGFw8uovuQObCp3Qx6Rlbo/NV3qG5gjrtXDhS63vJQnm2dQ8N26DxgBuo6dZO7nIYt+8KuXivUMLSAoZkDun/zE9JTk/Ax+FWZxint5rldaNp+AJp1GARDMzv0HTEfOnrGuCOnvO9eOQhdfRP0HTEfhmZ2aNZhEJzaD8AND0l5W9g2QK+hP8DRuTeUqxRe3zW1a0BL10D88nt8DTUMLWFTu1m5xJlXtm37TEbdprllO2EFMtPT8PSO/LK97bkbtvVaoV0fUdm26zMJtnVa4rZU2Xp77kTjdl/Dqb2kH9OuYYz7UnX38rH1cGjYHt0G/wATq7qoYWiBmo4doKmtJ7O+KlWrQUvHQPxSU9cql23x4MpuOPeYjFqNu8HArCZ6j16JzIw0+N2Xvy0eXNkF69qt4NxjEvSM7eDcYxKsarfEgyu7ZNIpKStDU8dA/FLXqiHzed3mfWFdpxV0DSxgYOqATgPnISMtCREh5VfP5enRWgMnryXhwYs0BEdk4Z+jsahaRYBWjtXkfsfvXQYevEhDaGQWImKyceF2Mj58zEQta0ldf/QyHU9epyM8Ohvh0dk4cjERaRlC2FsUvj9UVJEXbuD1z+sRfuKiorNSIpWlXfM6vwtOUnH2HiHqr+9eKTzOe3n9tVScTdoNwC2PfP11/aL7a9/8/fUAUX99T6rNC8o3Tm3ecTCMLctmnKrI4xIA+BDwGI1a9YdN7Raorm+Oph2GwNiiFkKlYjt/cAVadB6Jtr0nwtDMAXpG1qjXtAdU5NSd4lDU+FwjX71+la9eq6lrYeyPbmjQoicMTGxgYd8IfUYsRGigr9wJj6J4X9iFJu0GoGl7UZy9hov61Hvy6vXVg9DRM0GvvDjbD0KTtgPgdV4S523P3Dj75MbZZ6KoL/eUxFmc9TZq3Q8d+02FXd1WcvP/wf8JWnYZDnPbhqhhaIEOLlOgpq6FsMCSTZ5U9HpeXsffxVEebZ+5bQP0HPoDGrbs/Vn7aWkJhULc9tyNdn0noV7uOPXrb4s3Tv3cuq2mroUxP7ihQXPJPty7kH24VffRaNfnW1iU8xXxij4ec2zVDx1cpsK2rnOZxkVEn1bhJk+io6Ph6emJqVOnQkNDo9A0AoEAQqEQvXv3Rnh4ODw8PODj44MmTZqgc+fOiIkRnSF4/PhxTJ8+HbNnz8bz588xadIkjB07FlevXgUA5OTkoH///lBXV8fdu3exdetWLFiwoNB1zp07F9OmTYOfnx+6d++OtLQ0ODk54cyZM3j+/DkmTpyIkSNH4u7duzLf27VrF1RUVHD37l1s3LgR69atw7Zt22TSrFmzBk2bNsWjR4/g6uqKKVOm4OXLlwCACRMmYP/+/UhPl9xOYd++fTA1NUXHjh2L3JYGBgZQUlLC0aNHkZ2dXWTaH374AbNnz8ajR4/QqlUruLi4IDo6WrydzM3NcfjwYbx48QKLFy/G/Pnzcfjw4SKXuWvXLmhoaODu3bv4448/sHTpUly8WLYHubGRwUiKj4Rdvdbi91SqVIV1rWb44P9I7vc+BDyGXf3WMu/Z12+DDwGPAQBZWRkIfe8rs1wAsKvXWrzc7KyM3PVJzuhUUlKGskpVBL3xkaQRCKCiIhnoqFRRhUCgJE5TUllZGQgN9IV9gfy3RpCcmIP8HxdI71C/NUICfZGdJbqS6oP/E9jXlx1wF7bM07t/RS3H9rCvV/jg3KqmE14+uoqEmI8QCoV463cXUR8DYd+gTYnizE/RcefJycnG0ztnkZGeAkv7RqK85V6NVrAuVMH7Nw+LH+RnSIwNRmpiFMwcJPEqq1SFsU0zfAySvy+UVE5ONgKenEVWRgoMLRqV2XI/RVHln5OdjZyc7AJn4VepovrFyhYov7auNLKyMuBz/RBUq2nByKJ2qZfzqXWEBvrCoUHB8gt6I7+8HfLFWrNBa4S8k5R3afLx2Os0mrYfAIFA/hn/nyOvbKXrqkqVqrD6RNkGBzwu2EfVb4MP/o/FeQ8L9IV9Yf1YQG79zsnB66fXoGdsjd2rx+OPaa2w9dfB8HtY8Arfp7dPY+X3LbFpQR9cOLiyyDPsSis+KhjJCZGwqSvpL1SqVIWFQzOEBMjfFiFvH8t8BwBs6rZFyFvZ78RGvMdfP7XBloWdcHLbTMRFfpC7zOysDDy+JarnhuYFr7IsTwbVlaGrpYxn/mni97KygZeB6XCwLP4PJ/Vsq8JYXwUv32UU+rlAALRsoAbVqgK8CSo8DZWdytKuye2vG8iP84P/Y9jn3y4NZPvrIP8ncMjXXztILTOvv65SWH/9WtJf541T4/PGqS/uIio8EA6fOU4FFHtcAgCWDk3w6vEVJMSKYnvndwfR4YGwqy+KLSkhGiFvn0BDuwa2/f4NVs1ojR0rRuD969Idk4jzVgHG51lZGXjifRpN2hVdr9NSEyEQCKCmXrJb+hQVp7yy/VBInPYNPh2nQwNJnKVZrzyWDk3w7N45pCTFIScnB0/vnEV2ViZs6jQv0XIqej0vj+Pv4iivtk/RROUdVWCcal27mdz9ESi/up1eyn24LFSk4zH6coQQ8FXC1/+jCneNvr+/P4RCIWrVkj1Q1dfXR1qa6CBy6tSp6N69O549e4aIiAioqooGyatXr8aJEydw9OhRTJw4EatXr8aYMWPg6iq6rG/WrFm4c+cOVq9ejY4dO8LT0xMBAQG4du0ajI2NAQC///47unYt+IyHGTNmYMCAATLvzZkzR/z3999/j/Pnz+PIkSNo0aKF+H0LCwusW7cOAoEAtWrVwrNnz7Bu3Tp8++234jS9evUS53Hu3LlYt24drl27htq1a+Prr7/G999/j5MnT2Lw4MEAgB07dmDMmDGfPOAxMzPDxo0b8eOPP2LJkiVo2rQpOnbsiOHDh8PW1lYm7XfffYevv/4agOhqnfPnz2P79u348ccfUaVKFSxZIrk9h42NDby9vXH48GFxngrTsGFD/PzzzwAABwcHbNq0CZcvXy50+6anp8tMEAFAZkZVVKmqWiCttKSESACARr4zZDW09RBfxBlFSfFRhX4nKV60vJTEWAhzsqGhU1iaKACAvrEtdPRMcenoWvQdvQRVVKvh9oWdSIqPRFKcaDnmto1QVbUaLh5Zjc5fzwQgxMUjqyEU5ojXVVIpiXHIyckucNmuho4kb4XGmy8WTR195GRnISUpFlq6hkiKjyqwTE0dfZllPr1zFmHvX2Dyz0fk5q/3iPk44bYYf8zsACVlFQgEAvQf9yusazqVMFJZiowbAMI/vMbWX4ciKzMdVdXUMWzanzA0swcAGJjYQFffFBePrEO/sb+gimo1eJ3fhaT4KCTGla6cSyo1UZTfapqysVTT1ENSXMnPrssvJvw1Tm8ZiuysdFSpqo4uI/5EdSP7z15ucSmq/FWracDCvhGunvobBqZ20NTRw9PbZxH89in0jKzKMMKilVdbVxKvHl/F0X9mIzMjFVo6Bhg1xw0aWtVLvJziEJe3dv6y0UOinPJOjI+CZv7y1haVd3JSLLR1S35/8xc+l5GWkgintl+V+LvFlVcW+ctJU0dP7m0eRN+LKnB1iGa+fiwnJ7vQ5SY9F23D5MRoZKSl4NbZf9FpwHR0HTwH/s9u4tCm7zHmx12wri36QaWBc19U1zeHpo4+IkLe4NLRtQj/8Aqjf3BDWcqr5+pa+eusfpH1PDkhChr5v6Olh+QEST03sW6I3qNXooaRNZITouF97m/sXf0Nxi86g2qaknrs/+wqTm2fhcyMVGhqG2DINDeoa8peoVLedLVE5zbFJ8neXiQ+KQf6uc8qkaeaqgB/zjWCiooAOTnAztNxeB4gO74yN1LBL5P0UUVFgLQMIdbvi0FopPxnqVDZqCztmrz+WlNbfn+dGBcFhwaF99d5cYravPzL1BdvO9VqGrC0b4SrJ4vur/uMnI8T2xfjjxmScepX43+Fda3PG6cCij0uAYCewxbg9M5FWDu7vTg2lzG/wSp3DB6bO2F87eQmdBv8I4wt6+CJ90nsXj0Grr+elnlmY3Epenyexy+3XjdpI79eZ2akw/PwWjRs2Qdq1TSLE56Y3P1XW/7+W3g/XTBOjXzL1NCWxFma9cozxHUtDm2eheXfOUNJWQVVqqph6PcbUcPQskTLqej1vDyOv4ujvNo+RcvLe2F1sKgruMqjbmdmpMPzyFo0KMU+XBYqwvEYESlGhZs8yZN/YuDevXvIycnB8OHDkZ6eDh8fHyQlJUFPT7YRSk1NRUBAAADAz88PEydOlPm8devW4ltOvXr1ChYWFuKJEwBo3rzwMy+aNpV9yFd2djZWrFiBQ4cOISQkRPzjf/6rZVq2bCkTi7OzM9asWYPs7GwoK4sOgBs2bCgTt7GxMSIiIgAAqqqqGDFiBNzc3DB48GA8fvwYT548Ed9W7FOmTp2KUaNG4erVq7h79y6OHDmCZcuW4dSpUzKTGM7Okkv/VFRU0LRpU/j5+Ynf27JlC7Zt24b3798jNTUVGRkZaNSoUZHrlo4LAExMTMRx5bd8+XKZCRoAGDB2MQaO/0Xmvae3T+P07p/F/w+fsQVAwfqS+2aR+RPknxEVit79ZJrc5SqrVMGQqRtxcsdCrPy+BQRKyrCt6wz7BpKHaGto18CgKetxds8S3L28BwKBEhq06A0Tq7oQKBX9A8gn5Q9PKCwy5vyxSG4fJ5BJlT9N3raNiw7D2X3LMeaHbUVOat3x3IvggCcYMWMzdPVMEfjqAU7vXgotXQO5V6uUyBeOO4++iTWm/uqOtJRE+N73xLF/52HCvN0wNLOHskoVDP1uI467LcTvri2hpKQMu3rOqNmwbQmDKz7/x6fhdeIX8f/dRv1dSCR58X7+7L+OvjW++t4d6amJCPT1xI0j89Dr291fdAIFgELKf+DElTi+fQH+mNEeSkrKMLGqi4Yt+5TqHtHF9aXbuuKwqdMCk385jpSkWDy8fgRH/p6BCQsPF/hhoEwVUt5FnThQoLxFwRbcBsX04Pox1GzYttQPli3M09uncXrXp8tWVLU/UbaFfJ4/1kKXm5tGmHvv79qNO6FV9zEAABPLOvjg/wj3rx0UT540bS85UcLIvCb0jKzwz5KBCA30hal1vSLzWBTfe6dwYb9kWwx0/UdOnoWfquYF9gNR2Uves6vfXvy3gRlgatsIWxd3xbM7J9C8y1jxZ5Y1W2Ds/BNISYrFE6/DOLltBkb+eKTAQW9ZauVYDeP66Yj/X7278GesCIDc/Ve+tAwhFmyKhKqqAPVsVTG8pw4iY7LhJ3X1SVhUFhZsioR6NSU0q6eGSQN18du/0ZxA+VL+D9u1whQIE5/or/N/JiwkzkL2c5n+etJKuG9bgJXTc/tr67po6NwHoVK3JbrtuRcfAp5gxMzNqK5ninevHuDUrqXQ0jEocJb0p1Sk4xIAuHtpD4IDnmDotM3Q0TPD+9f3cXbPEmjqGMCuXisIhaI236nDEDRuKzppzsSqLt763cajm8c+7z76Chqf5/G5cQwORdTr7KxMHP57NoTCHPQdvVhuvj6pQDUVFr0vFto3yS6osLpfYJklXW8hLh3bgLSUBIz50Q3qmtXh9/AyDv01E+Pn74WxRU253/uv1fNyPf4uhnJp+76gJ96ncWrXL+L/R8zMPcYspA5+6niiLOu2zD486jP24RKoiMdjRKQYFW7yxN7eHgKBQHzbqjx5V0pUqya613NOTg5MTExkns2RR/rB5YUfgAsK/P0p+SdF1qxZg3Xr1mH9+vVo0KABNDQ0MGPGDGRklPy2B1WqVJH5XyAQyDzMbMKECWjUqBGCg4Ph5uaGzp07w8qq+Gc8a2lpwcXFBS4uLvjtt9/QvXt3/Pbbb4VeAZI/HwBw+PBhzJw5E2vWrIGzszO0tLSwatWqArcoK2lc0ubNm4dZs2QfcHfCp+CtKWo16ggzW8mkTN6ts5Lio6AldWZGckJ0kT/oaeroIylB9oyG5MRo8Zki6lrVIVBSLnCWSHKi7HJNretjypITSEtJRHZWJjS0a+DfXwfD1Lq+OI19/TaYvvIikhNjoaSsjGrq2lg1ow3q65vLzV9R1LV0oaSkjKS4fHlLiJEbc2FnaiUnRENJWQXqmrpSaSILpMn7wSg00BfJCdH4++eB4s9zcrLx/tUD3L20H79sf4LsrExcPLoew6ZtRK1GHQAAxpa1EBbkB69zOz5r8kRRcedRUakqPnPRzKY+gt89g7fnHvQfuyT3vXr47tfjMnVhy5IhMLMp/Q+LRbGs0wmGFgX3hZSkKKhrS/aFtOQYVNP8/B/9lFWqQltPFL+BeX1EBT+Dr/cetPlqySe+WTYUWf56RpaYMH8PMtJTkJ6aBC1dQxz8ayaqG5iVQWSF+1JtXUlUVVWHnpEV9IysYGHXCBt/6o5HN4+ibe+yfzijuLzzlV9SEeWtpaNf4Ey1/OVdErFRIfB/fhsjpm8s8XeLUpKyLeoHe81C4k1KiIaGVD9W2DZMTogWn9WprlUdSsoqMDCVnQTVN7Er8tYWJlb1oKxcBTEf33/W5Il9w04wtZbcnzord1skJ0RBU0eyLVISo6GhJb/OamjrIzlfPU9JjClwxqO0qqrq0DetidiIwALvVzW0QnVDK5jZNsLWxd3w1PsonHuU30NIH/qlIeCDZPyooiIaf+loKiEuUTJu0tZUKnA1Sn5CIfAxRnSr1qCwLJgZqqBve034vZNMyGRn56XJxruQTNiaVUWPVhpwOxlfhlFRfv/P7Zq0vDgL5ruIOHULb8+K019r5uuvv10g6q/TUpOgrWuIg5sk/XVmRhouHlmPYdM3ona+ceqtcztKPHlSkY5LMjPScPnYenzz3Z+o6Zgbm0UthAe9hPcFN9jVawWt3HY1f5tvYGKH+JiwkoQupujxOSCq1wG+tzFsWuH1OjsrEwf/monYyGCM+2lHqc5Yl7f/JifGFLg6LE+p40yU7qdLvt7CxEQE4e7lffju91MwMnMAAJhY1sb71w9w7/J+uIz5Re53/2v1HCj74+/iKK+270ur3bgTzO0k5Z03NkvMX96fqINlWbezszJxaPNMxEYFY9zc0u3DpVERj8eISDEq3DNP9PT00LVrV2zatAnJycly0zVp0gTh4eFQUVGBvb29zEtfX9QI1alTB7du3ZL5nre3N+rUqQMAqF27NoKCgvDx40fx5/fv3y9WPm/evIl+/fphxIgRcHR0hK2tLd68eVMg3Z07dwr87+DgIL7qpDgaNGiApk2b4t9//8X+/fsxbty4Yn83P4FAgNq1axfYttL5zMrKgo+PD2rXFt3L/ubNm2jVqhVcXV3RuHFj2Nvbi6/uKSuqqqrQ1taWeRV2dYNqNU3xj3d6RlYwMLWHpo4BAl54S+U/A4Gv7sPCvrHc9VnYNUKAr7fMewHPvWBh1wiA6IdyU6t6MssFgABf70KXq6auBQ3tGoj+GIjQwOeo1bhTgTQaWtVRTV0bb/3uIDkxGrUadSxym8ijolIVptb14J8v//6+3rCUE7OlfaOC6Z97wcy6HpRVRJNcFvaOBbaJ/3PJMu3qOuP7309i6q/u4peZTX00dO6Dqb+6Q0lJGdnZWcjOzoRAINu0CJSU5U6cVfS4i5I3gJKWVxeiwgMR8u45ajfu/MnllEZVVQ1o61mJX7qG9qimpY9Qf0ks2VkZCH93H0aWn46lpIRCICf7y90jvyKUf1VVdWjpGiI1OR7+z71Qp5zKFvhybd3nEEKIrMzyqQN55f3meSFl41BEeedL/+aZF8xsJOVdEj43jkNTuwZqNWr/6cQlILdsfWXL9v0nytbcrhHe5i9bXy9Y5D6LSUWlKkys6xUo/7cvvGFh11icxsy6PqLC38mkif4YCF09U7nrjgh5g+zsTGjqGhQrZnlU1TRRPXeiorqhFfRN7KGhbYBAPy9xmuysDHx4cx9mdvK3hZltI5nvAMC7F7dgZiv/O1mZGYgOD4CmTtExCCEstK0vS2kZQnyMyRa/QiKyEJeYjfr2auI0yspAbWvVUj2bpIryp84MlUzYUPn5f27XpIn76xLEaVFInPn7a0t7x4LbQs4yq6qqQzu3v37z3At1moj6a3njVCUlZfFVGSVRkY5LsrOzkFNobEri2HT1zaCla4josIJtvk4RbX5RKsL47OHN49DQroGajgXrdd7ESfTH9xibe8VFaeTFWaCc5BwbimIoWK6FxVlwW0jiLM16C5ORLrr9eWnq/n+tnksrq+Pv4iivtu9LU62mIVPehqb20NTRLzBODXx5v8jj5bKq23kTJ9Ef32PsD6Xfh0vjv3A8RkRfRoWbPAGAzZs3IysrC02bNsWhQ4fg5+eHV69eYe/evXj58iWUlZXRpUsXODs7o3///rhw4QICAwPh7e2NhQsX4sGDBwBED0HfuXMntmzZgjdv3mDt2rVwd3cXP6uka9eusLOzw+jRo/H06VN4eXmJHxj/qStS7O3tcfHiRXh7e8PPzw+TJk1CeHh4gXQfPnzArFmz8OrVKxw4cAB//vknpk+fXuJtMmHCBKxYsQLZ2dn46quvivWdx48fo1+/fjh69ChevHgBf39/bN++HW5ubujXr59M2r/++gvHjx/Hy5cvMXXqVMTGxoonaezt7fHgwQNcuHABr1+/xqJFi4o9yVTeBAIBWnYdhZtn/oGfz0V8DH6NE9vnoUpVNTRo0Ueczv3fubh0dI34/xZdRyLA1wu3PP5FZNhb3PL4F2/9bqNl19HiNM7dx+DhjaN4ePMYIkMDcP7AcsTHhKFph2/EaXzvn8e7l3cRE/EBLx9dxu7V41C7SWfY15c8dPLRzWP4EPAYMRFBeHL7FI5sng7nrqOhbyL73JmSaN1jNHyuH4PPjWOICA2Ax77liI8OQ7NOQwAAnofX4ug/c8Xpm3X6BnFRofDYvwIRoQHwuXEMPjfc0aanZCKuVbdR8H/ujRtn/0Vk6FvcOPsvAl7cRqvuowCIBlJG5jVlXlVUq0FdUxdG5qJLvdWqacK6djOcP7QKb/3uISYyGA9vHsdjr5Oo69Sl1PEqMm4A8DyyDoGvHiA2MgThH17j4tH1eOd3D47Okjr2/N55UcwRH+D38DJ2rhqPOk6dCzwYtrwIBALUazUKT65tRaDvRcSEv8aNo/OhUkUNto0k+bx+ZC7uX1gr/j87KwPRoX6IDvVDTnYmUhIiEB3qh4To9+I0Dy6sQ/i7B0iMDUFM+Gs88FyP8Hf3YOfYB1+Sosr/zbNbeP30JmIig+H/3AvbV4yBvrENmpTjczDyK8+2Lj0tGWFBfggLEt2qMS4qGGFBfuL7GGekp+DSsbX4EPAYcVEhCH3vi5M7FiIhJhz1mvUot5jb9hyNB9eO4cH1Y4gICcCZvcsRFx2GFp1F5X3+0Foc3iIp7xadvkFsVCjO7FuBiJAAPLh+DA+uu6NdL0l5ix5G6ofQ937IzspEQmwEQt/7Ierje5l15+TkwOeGO5q07Q9l5fK9SLfQst02D1VU1dCwpWzZXjwiKduWuWV786yobG+e/RdvX9yGs1TZtuqW24/dEPVj5w7k7jMdJf1Y657j4XvvHB5cP4zoj+9x99JevH58Fc06DQMgOlv12sm/EPLuGWKjgvH6yXUc3jwDJpZ1YenQpMy3RdNOo3D7/D94/fgiIkNe4+wuUT2v00yyLc7s/BHXT0i2hVPHUXjn54U7F7YiOjwAdy5sxfuXt9G0k2RbXDm2EkGv7yEu6gNC3z3BiX+nISMtCfVbivbjjPQUXD+xFiFvHyM+OgThQb44t2cBEmPDUatJ+dVzec57JcOlvSaa1lWDuaEKJn2ti4xMIbyfpIrTTBqoi8HdtMT/922nifp2qjCorgwTfRX0bK2BNo3V4SX1ncFdtVDLqir0dZVhbqSCQV21UMemKrwfp+K/RFlDHdqOtaHtKDrRR93GHNqOtaFmYaLgnBWtsrRref11Xpxnc/vr5rn99YXDa3FEqr9untdfS8Xpc90dbaTidO6e21+fye2vz/yLAN98/fVT2f5623JRf533fBe1apqwqd0M5w/KjlMf3Sqbcaoij0vUqmnCqlYzeB5ZhXcv7yI2MhiPbrnjifdJ1GnSVZy/Vj3G4+7lPfB9cB7RH9/jivsGRIW9RZO2kivLS0pR4zNAVK8f3nRH4zYF63V2dhYObJqBkEBfDJq8Cjk52UiMi0RiXKT4bPqSaNU9X5z7c+t1x9w4j6zF0a1S9bqjKM5zByRxPrzhjtY9pOp111EIKCRO526jir1eAEhJikPYez9EhvoDAKLC3yHsvZ/42YsGJjaoYWSJUzt/RvDbp4iJCILXuR0I8PUWTy4WV0Wv50D5HH8XR3m0ffLa+Oh8bXx5EQgEcO42CjdOb8WL3PJ23za/wDj16Na58DwiOcYsi7qdnZ2Fg3+J9uGBk+Tvw4lxkQh774foCNE2+Rj8GmHv/ZCSFFfm20JRx2NA7n4e5IfIUNGJzNHh7xAW5IdEPjuFqNxVuNt2AYCdnR0ePXqEZcuWYd68eQgODoaqqirq1q2LOXPmwNXVFQKBAB4eHliwYAHGjRuHyMhIGBsbo127djAyMgIA9O/fHxs2bMCqVaswbdo02NjYYMeOHejQoQMAQFlZGSdOnMCECRPQrFkz2NraYtWqVejbty/U1NSKyCGwaNEivHv3Dt27d4e6ujomTpyI/v37Iz5e9pYHo0aNQmpqKpo3bw5lZWV8//33BZ7DUhxDhw7FjBkzMGzYsE/mLY+5uTmsra2xZMkSBAYGQiAQiP+fOXOmTNoVK1Zg5cqVePToEezs7HDy5EnxFTyTJ0/G48ePMWTIEAgEAgwdOhSurq44d+5cieMoD617TkBmRhrO7l2K1OR4mNs2xMjZ26EqdTlnfEwoBEqSCTFL+yYYOHkNrrhvwJXjG1HD0AIDJ6+FuZ3k9iH1m/dCSlIcrp/6C0nxkTA0c8DwGf9AV19yq57EuAhcOLgCSQnR0NI1gKNzP7RzmSKTv6jwQFw6tg6pyfHQ1TdF2z6T4dxtzGfF3KCFKG9XT25GYlwkjMwcMHLWFlTPzVtifCTipC6/r2FgjlGzt8Bj/wrcvbwfWrqG6D1iPuo16ybZJg6NMdh1DS4d24DLx/5EDUMLDHFdAwupbVIcQ6asgeeRdTiy5QdxzF0HzkDzTt98+ssVNO6khCgc3ToXiXGRUKumBSOLmhg9Zyvs60smRhLjIuFxYCWS46OhqauPxq37oUM/2bpQ3hq2m4DszHR4n1qKjNQEGJg3RPex21BVVXLbwaS4MJmztVISI3Fi0wDx/89uuuHZTTcY2zRD7293AwBSk6Jw/chcpCRGoqqaFmoY10T3MVth5vBlJobyKKr801IS4XlkHRJiw1FNQwf1mnZD14EzvvgZYeXV1oUGPseuPySD9wsHVwAAHFv3x1fjV0CgpIyosHd44jUNKUmxqKahCzObBhg3bx8Mc2/9UB4atuyF5KQ4XD6RW97mDhgzR6q84yIRFy1V3obmGDNnC87uW4E7l/ZDW9cQfUfOR32p8k6MjcSfCyX1/aaHG256uMGmdjNMXLBb/L6/723ERYfBqZ0kbXlq02sCsjLTcGbPUqQlx8PMrpCyjQ6VObHD0kFStlePb0R1QwsMyt+PteiFlGRRP5aY14/NlO3H6jh1RZ9Rv+Dm2a04t+936BvbYMjUjeIHryorV8Fbv9u4c3E3MtJToFPDBA4N26NDv6lQKod7h7fo9i2yMtPheWAJ0lLiYWrjiMHfu0FVTbItEmJk2zFzuyZwGb8WN0+tx83TG6FrYAGXCetgaiPZFomx4TjtNgspSXFQ16wOU5tGGPnjYejoibaFkpIyYj6+xYmtx5GaLKrnxlYNMHz2PhiYll89l+fMzSRUrSLAGBcdqKspISA4Ayt3RCMtQ/LQE30dZQgl/0K1qih9DR1lZGQKERqZhb+PxOLuszRxGm1NJUwepAtdLWWkpOXgQ3gW/tgZU+Ch8hWdjlN9OF/eI/6/7ur5AIAPu93xdPw8RWXrkypLu9awZb7+2twBo2bLxhkfLdtfj86L87Iozt754rRyaIwhrmtw8dgGXMrtr7/J31+nivrr+Jjc/rpZN3TL118PcRWNUw9v+QGpSWU7TgUUe1wycPJaXD66Fu5bRWNwHT1TdBowQ+bEL+duo5GVmY4LB1YgNTkeRha1MHK2W4kfGi5NkcclAb63ES+nXifEfMTLR1cAAH8tkj3hZdxPu2Bbp/BnnX4qzmsnNyMxXhJnXhkk5avX1Q3MMXLWFpw7IImz1/CCcQ6asgaXj23AFfc/Ud3QAoOnyMb5qfUCwMtHV3F8+3zx/4f/Fj2/pmO/qej01XdQVqmCUTP/geeRtdi73hUZaSmoYWSJAROWF3rFzqdU9HpeHsffxVEebV9ibCT+WiSp37fOueHWOVEbP2G+pI0vT217TUBWRjpO716KtOQEmNs1xOg526BaTXKMGR8dBiWpsVlZ1G3pfXjz4nz78NxdsMndh+9fPYSrJ/8Sf7Z9+UgAwFfjl5X5yW6KOh4DgFePr+Ckm2Q/P7pFdNv79i5T0bH/92UaJ0kIhbw6mwCBUCh92EVeXl5o06YN/P39YWdn91nL6tChAxo1aoT169d/dr4+fPgAa2tr3L9/H02alN2ZnoGBgbCxscGjR48++QD4L+2AV+WsmirKlTPuyupdiKJzoBg25fe4kAotK7tyDr5Uq1TOdi0jq3KWd0pa5Yz7yuXQTyf6PzT0j/K7DUpFlu7lp+gsKERO5WzOkVlJ2/PKelxSWX8hyc6pnPW8ikrlLPDPvKv2f1ZlredDW1fOuD/XC//KOb7/HHXtS3cr0IqsQl558iUdP34cmpqacHBwgL+/P6ZPn47WrVt/9sRJWcnMzERYWBh++ukntGzZskwnToiIiIiIiIiIiIiIqKBKP3mSmJiIH3/8ER8+fIC+vj66dOmCNWvWfPqLX4iXlxc6duyImjVr4ujRozKf3bx5Ez179pT73aSkpPLOHhERERERERERERHR/51KP3kyatQojBo16tMJS+HatWufvYwOHTpA3p3VmjZtisePH3/W8q2treUun4iIiIiIiIiIiIioMqr0kyf/ZdWqVYO9vb2is0FERERERERERERE9H+FkydERERERERERERERLmEECg6C1QBKCk6A0RERERERERERERERBUJJ0+IiIiIiIiIiIiIiIikcPKEiIiIiIiIiIiIiIi+qM2bN8PGxgZqampwcnLCzZs35aZ1d3dH165dYWBgAG1tbTg7O+PChQvlmj9OnhARERERERERERER0Rdz6NAhzJgxAwsWLMCjR4/Qtm1b9OzZE0FBQYWmv3HjBrp27QoPDw/4+PigY8eO6Nu3Lx49elRueRQIhUJhuS2d6DMc8KqcVVNFuXLGXVm9C1F0DhTDxkzROVCMrOzK+cA51SqVs13LyKqc5Z2SVjnjvnI5VNFZUIihf3RUdBYUIt3LT9FZUIicytmcI7OStueV9biksv5Ckp1TOet5FZXKWeA5OYrOgWJU1no+tHXljPtz+fqHKToL/zn17E1KlL5FixZo0qQJ/v77b/F7derUQf/+/bF8+fLirbNePQwZMgSLFy8u0bqLS6VclkpERERERERERERE9B8kBCedSio9PR3p6eky76mqqkJVVbVA2oyMDPj4+OCnn36Seb9bt27w9vYu1vpycnKQmJiIGjVqlD7Tn8DbdhERERERERERERERUaktX74cOjo6Mi95V5BERUUhOzsbRkZGMu8bGRkhPDy8WOtbs2YNkpOTMXjw4M/Ouzy88oSIiIiIiIiIiIiIiEpt3rx5mDVrlsx7hV11Ik0gkL3CRygUFnivMAcOHMAvv/yCkydPwtDQsOSZLSZOnhARERERERERERERUanJu0VXYfT19aGsrFzgKpOIiIgCV6Pkd+jQIYwfPx5HjhxBly5dSp3f4uBtu4iIiIiIiIiIiIiI6IuoWrUqnJyccPHiRZn3L168iFatWsn93oEDBzBmzBjs378fvXv3Lu9s8soTIiIiIiIiIiIiIiL6cmbNmoWRI0eiadOmcHZ2xtatWxEUFITJkycDEN0GLCQkBLt37wYgmjgZNWoUNmzYgJYtW4qvWqlWrRp0dHTKJY+cPCEiIiIiIiIiIiIiyiXEp5+7QZ9nyJAhiI6OxtKlSxEWFob69evDw8MDVlZWAICwsDAEBQWJ0//zzz/IysrC1KlTMXXqVPH7o0ePxs6dO8slj5w8ISIiIiIiIiIiIiKiL8rV1RWurq6FfpZ/QuTatWvln6F8+MwTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCB8YTEREREREREREREeUSCgWKzgJVALzyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIikcPKEiIiIiIiIiIiIiIhIioqiM0BEREREREREREREVFHkQKDoLFAFwCtPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKHxhPFZZqFaGis6AQGVmV84FUKsqVs7xtzRWdA8VIy6ic9byytmsCVM64UUkfMJiYXDnLu0cPE0VnQSHS+/kpOgsKodq6jqKzoBCZ3i8UnQWFyKmkpxyqKFXO9jw5vZIWeCWlUjmrObJzKuc4VVA5wyaiz8DJEyIiIiIiIiIiIiKiXMJKejIcyeIpFURERERERERERERERFI4eUJERERERERERERERCSFkydERERERERERERERERSOHlCREREREREREREREQkhZMnREREREREREREREREUlQUnQEiIiIiIiIiIiIioopCKBQoOgtUAfDKEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKSqKzgARERERERERERERUUUhhEDRWaAKgFeeEBERERERERERERERSeHkCRERERERERERERERkRROnhAREREREREREREREUnh5AkREREREREREREREZEUTp4QERERERERERERERFJUVF0BoiIiIiIiIiIiIiIKgqhUKDoLFAFwCtPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIikqCg6A0REREREREREREREFYUQAkVngSoAXnlCREREREREREREREQkhZMnREREREREREREREREUjh5QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJERERERERERERERCRFRdEZICIiIiIiIiIiIiKqKIRCgaKzQBUArzypYDp06IAZM2YoOhslJhAIcOLECUVng4iIiIiIiIiIiIjos/HKk0KEh4dj+fLlOHv2LIKDg6GjowMHBweMGDECo0aNgrq6uqKz+Fl++eUXLFmyBN27d8f58+dlPvvjjz8wd+5ctG/fHteuXVNMBj/T7Uv7cfOsGxLjI2FoZo8+I+bBplZTuenf+t3D2f0rERHiDy1dQ7TvPR4tOn8j/vxj8BtcPPYnQgJ9ERcVit7Df0KbHqNllpGdnYXL7pvw2PsMEuOjoKVrAKe2/dGx3xQoKZXPHKVQKMS1k5vgc/0wUpMTYG7bEL1HLoahmUOR33vx4AKuHN+ImIgg1DC0ROcBM1DHqatMmntX9sPr3HYkxUXCwMwePYfNh1VN0TbMzsrEZfcNePP0OmIjg6Gmrgnbuq3QZeAsaFc3Ei8jJiIIFw79gaDXPsjOyoB9g7boNXwhNHX0y3Q73Lm0H7c8JOXde/g8WBdR3u9e3oOHVHm37T0eLTrJlvdld0l59xr2E1rnK+/L7ptw5cRfMu9p6uhj3p83yzS2oigi7uunt8L3wUVEhr1FlSpqsHRojO5DZsPAxKbc4iyMUCjEjVOb8PDGYaSlJMDMpiF6DP903ffzuYBrJzYiNjII1Q0s0fGrGajdRFL3b3n8g5cPLyI67C1UqqrB3K4xOg+cDX1jWwCiun/1xAb4P7uOuMhgqFbThE3dVuj89Sxo6RrJW22p3L28Hzc93JAUHwlDU3v0Kkb5ntu/EhGhueXbazyaS5UvAPje98Qld8m+3/Xr6ajbVBL/5eObcLWQev3TRkm9Tk9LhufhtfB7eBkpSXGorm+Gll1HoEXnoWUUuazblw7gRm57bmRmjz4jfvpEe34fZ/evxMcQf2jrGqJd73FoKdWe37t6BA9vnUR4sD8AwNymLroPmgELu4biNHcuHcSdKwcRGxkCADAyt0fn/lNQy7FducQIKK49B0RleunIGrx8JCpTXX0ztOgyEs07Scr0wbVDeHbnDMLev0B6WjJ++useqqlrl+1GkEMoFOK+5ya8uHsY6SkJMLJsiHYDFqOGsfxtExP+BvcubERksC8SY0PR2mUeHNvJtmehAffx6Np2RIb4IiUhEj3GbIJt/S7lHY5cimrXAOCk20946n1CZrlmto4YN/9QmcaYnyLGaytndkZcVGiBZbfsPBT9xiwuu+DKSY02TWE7ezx0mtSHmqkhHnztio+nLis6W8Vy++IBXPdwQ2KcqD3vO+In2NQuuj0/s0/SnrfvI9ueP79/EVdObUX0xyBkZ2dB38gS7XqNRZM2LpJlvHyAG2fdEPzOF4lxkRg1YyPqNS3b/VwoFOLqib/wQKr97jNqEYw+se/63vfEZan2u8vX01E3X/t99/J+3DrnhqQ40T7Sc5jsWKA4675/7TCe3pa03/P/uotqGrLtd2igLzyPrEHI2+cQKCmhXtNu6DF0LlTVNEq9XRTRf19034TLxzfLLFdTRw8LN3258TlQOcaphVFkP+bn44mHNw4h7L0vUpPi8O3i4zC2rFPmMSpifH738gHcu3IQcVGicamhmT069nNFTalx6ZcenwOyY9e0lASY2TZE7xHFH7vmlXf+sWvgq/vwPr8doYG+SIqPxJDvNqFOE9l2+4WPJ3yuHUJobnlP+uU4TMqhvPl7CxHl4ZUn+bx9+xaNGzeGp6cnli1bhkePHuHSpUuYOXMmTp8+jUuXLik6i0XKzs5GTk7OJ9OZmJjg6tWrCA4Olnl/x44dsLS0LK/slbundzxwdu8KdOw3Cd//6g7rWk7YuWpSoQfKABATEYydqyfDupYTvv/VHR1dJuL0nmV4ft9TnCYjIw01DC3QY/AsaMnpiG6c2Ya7Vw7BZfRCzFp5Fj2/mYMbHm64fXFvucQJALc8tuH2hZ3oNXwRJi4+Ak0dA+xePQ7pqUlyv/PB/xGO/D0LDZ1dMGXpSTR0dsHhv2ciOOCJOM3zux44v3852vWZjMlLjsOqZlPsXTsRcdGibZiZkYaw9y/Q3sUVk385hiHf/Yno8EAc2OgqXkZGegp2rx4PAQQY8+NOjJ+/H9lZmdi/YUqx6mdxPb3jAY99K9DeZRKmLnWHdU0n7FpdRHlHBmPX6smwrumEqUvd0b7vRJzNV96ZGWmobmCB7oNnFTnwMDSzx08bb4hf034/WWZxfYqi4n738j5adhmGyYsPYuzc7cjJzsLOP8YjIz2lXOKUx/v8Nty5uBM9hi3C+IVHoKFjgH1rxyE9TX7dDw54hGP/zEIDZxdM/PkkGji74Ng/MxHyVlL3g17dR7OOwzB2/iEMn+UGYU4W9q+dII4vMyMN4e9foG0fV0xYfAyDXP9EzMdAHPrTVd5qS+XZXVH5dug7Ca5L3WFVywm710wS74P5xUQGY/eaybCq5QTXpe5o32cizu5dBl+p8g3yf4RDm2ehUSsXfPfrCTRq5YKDm2fhg9S+D4jq9dwNN8Sv73+Trdce+1fgzbNbGDjpD0xffhatuo/G2b2/w+9h2f949+TOOZzZuxwd+03CtF+PwbqWE3Z8oj3fkdueT/v1GDrktufPpLbDW797cHTujYnzd8D15/3Q0TPB9j++RXzMR3Ea7RpG6DF4Jr5begTfLT0Cu7otsHvdd/gY/KbMY8yjqPYcAM4fWAH/57cwYOIf+G7ZWTh3G41z+37DS6kyzcxIg32DtmjbZ1L5bIAiPLq6DU9u7ETbrxZh4PQjUNc2wKmt45BRxP6emZEG7RoWaNlrNtS1DOSkSYW+aW20/WpReWW9RBTVruWxq98WM9fcFL+GTvun3GIFFDdem7rkCOb/eUP8Gj93OwCgQYseZR9kOVDWUEfC01fwnb5U0VkpkSd3zuH03uXo5DIJ034TteduqyYhtojydstrz387ho4uE3Fq9zI8uycp72oaOujkMgmuP+/HzGXH0bTdABzZugCvnt4Sp8lIT4GJZS30H72w3GK76bEN3hd2oveIhZj882Fo6uhj16rxSE9NlvudIP9HOPz3LDi2csHUpSfg2MoFh/L1yc/ueuDc/hVo33cSpix1h1VNJ+xZKzsWKM66M9NT4dCgLdrJab8TYiOwc9V41DC0xMTFhzBq9r+ICPGH+7b5pd4miuq/AcDIzB4L/rwufs1Y9uXG53n+38ep8iiyH8vMSIWFfRN0HjC73OJT1Phcp4Yxug2ehSlLjmDKkiOwrdsS+zbIjku/5Pg8j9e5bbjtuRO9RizCt4tKMHbdImr7Ji85CcdWLjiyRXbsmpmeCiOL2ug1Qv74LDM9FRYOTdBlYPmVN8DfW4hIgpMn+bi6ukJFRQUPHjzA4MGDUadOHTRo0ABff/01zp49i759+wIA4uPjMXHiRBgaGkJbWxudOnXCkyeSBvGXX35Bo0aNsGfPHlhbW0NHRwfffPMNEhMTxWmSk5MxatQoaGpqwsTEBGvWrCmQn4yMDPz4448wMzODhoYGWrRoIXNFyM6dO6Grq4szZ86gbt26UFVVxfv37z8Zp6GhIbp164Zdu3aJ3/P29kZUVBR69+4tk/b+/fvo2rUr9PX1oaOjg/bt2+Phw4dFLj8kJARDhgxB9erVoaenh379+iEwMPCT+fpcN8/tQtP2A9CswyAYmtmh74j50NEzxp3LBwtNf/fKQejqm6DviPkwNLNDsw6D4NR+AG54uInTWNg2QK+hP8DRuTeUq1QtdDnv/R+jbpNOqN2oA6obmKFB8+5wqN8awe+el0ucQqEQdy7uRts+k1G3aTcYmdfEVxNWIDM9DU/vnJH7vdueu2FbrxXa9ZkEAxNbtOszCbZ1WuL2Ral64LkTjdt9Daf2g2Bgaoeew+ZDu4Yx7l85AABQU9fC6B/cUL95T+ib2MLCrhF6DV+I0EBfcYcf9OYh4qJC0H/CchhZ1IKRRS30H78MIe+e4Z3fnTLbDl7nd8FJqrx7j5gPnRrGuHul8PK+d+UgdPVM0FuqvJu0G4BbUuVtbtsAPYf+gIYte0NFTnkDgJKyCrR0DcQvDe0aZRbXpygq7jE//Ismbb+CkbkDTCxr4+tvlyEuOgwh73zLJc7CCIVC3Lu0G216T0Ydp24wNKuJfuNWIDMjDc/vyq/7dy/uhm3dVmjTaxL0TWzRptck2NRuibuXJHV/2MxtcGw9AIZmDjC2qI2+Y5cjPiYUYe9F8ampa2HEbDfUa9YT+sa2MLdrhB5DFyLsvS/i5Rw4lYbX+V1wajcATTsMgqGpHXoPF5XvPTnt2P288h0+H4amdmiaV77nJOXrfWE37Oq1Qvu+E2Fgaov2fSfCrm5LeF/YLbOsT9XrD/6P0bhNP9jWaY7qBmZo1nEwjC1qIaQc2rpb53aiafuv0bzDwNz2fB509EyKaM8P5bbn82BoZofmHQaiafsBuOmxQ5zmG9dVcO4yFKZWdWBoaouvxy+FMCcH/i8k7VLdJh1Ru1F7GJhYw8DEGt0HzUBVNXUE+T8t8xgBxbbnABAc8BiOrfvDpnYLVNc3R9MOQ2BkUQshgZIyde42Gm17T4S5nWO5bAN5hEIhnt7cDafOk2HXoBv0TGqi8zcrkJWRhjeP5G8bI8sGaNX3Rzg07g1llSqFprGq0w4tes6AXYNu5ZX9YlNku5ZHWaUqNHUMxK9qmrrlFS4AxY3XNLVryLRxfo+voYahJWxqNyuXOMta5IUbeP3zeoSfuKjorJTIzXM70azD12jecSCMzOzgMrLo9vzOlUPQ1TOBy8h5MDKzQ/OOovb8hlR7ble3Oeo36wIjMzvoGVmiTY+RMLaoicBXkmOU2o7t0H3QdNRv1rWw1Xw2oVCI25670a7vJNTLbb+//rZ47bddvVZo3ye3T+4zUdR+e0r6ZO8Lu9Ck3QA0bS8aC/QaLmq/7+WO9Yq77lbdR6Ndn29hIaf9fvXkGpSUVdBn5GIYmNjA3LYB+oxchBcPPBH98dPHlIVRVP8NAErKyjL7uOYXHJ8DlWOcWtHiBoCGzv3Qru9U2NR1LrcYFTU+r924I2o5toe+sQ30jW3QdaBoXCo9wfIlx+eAZOzars9k1HXKHbuOF5X3syLK+87F3bCr2wpte4vGrm17T4JNnZa4IzV2dWjYDp0HzEBdJ/njM8dW/dDBZSpsy7G8+XsLEUnj5ImU6OhoeHp6YurUqdDQKPwyZYFAAKFQiN69eyM8PBweHh7w8fFBkyZN0LlzZ8TExIjTBgQE4MSJEzhz5gzOnDmD69evY8WKFeLPf/jhB1y9ehXHjx+Hp6cnrl27Bh8fH5n1jR07Fl5eXjh48CCePn2KQYMGoUePHnjzRnKmQUpKCpYvX45t27bB19cXhoaGxYp33Lhx2Llzp/h/Nzc3DB8+HFWryh5wJiYmYvTo0bh58ybu3LkDBwcH9OrVS2YiSFpKSgo6duwITU1N3LhxA7du3YKmpiZ69OiBjIyMYuWtNLKyMhAa6AuHBq1l3neo3xpBbx4V+p0g/8dwqC+bvmaD1gh554vsrMxir9u6phP8X9xBZNg7AEDY+5d4//ohajm2L2EUxRMbGYyk+EjYS+VdpUpVWNVqhg/+hccKiH4ks6snG69d/Tb44P8YgGgbhgX6wj5/mnqt8SFA/nLTUhMhEAiglnsbl+ysDAgEAqioSOqSShVVCARKCHrjI28xJZJX3vb5ys++gfzy/uD/GPb560eD1ggJLFl5A0B0+HusmNYOq2d1wcG/ZiEm4kPJAiglRcctLS1V1Aaoa+qUehklFRclqvu29QrW/eCi6v7bx7CtK7sNbOu1QXBu3S9Meooovmoa8uNLS00EpOr+55JbvvVbI0hOfEH+jwukd6gvW74f/J/Avn6rTy4zOvw9Vk5vh9Wzu+DQ5oL12qqmE14+uoqEmI8QCoV463cXUR8DYd+gTanilScrKwMhgS8Kac9b4f2bx4V+573/Yzjki9GhQRsEF9GeZ6anITs7C+pyyjgnJxtPbnsgIz0Vlg7lM3Gg6Pbc0qEJXj26goRYUZm+87uD6I+BsK9ftmVaGgkxwUhJjIRFLUkMyipVYWrXDOGB8rfNf01FaNfev7qHNTNb4a8F3XFm1yIkJ0SXIpLiUeR4LX8+HnudRtP2AyAQ8GGg5SUrKwMh714ULL8i2vOgN49RM197XrOI9lwoFML/+W1EhgcWeSuwsiZqv6MKtN/WtZvJ7bOBwvtkhwaSPrmosUBev1DadeeXnZkBZZUqMrcZVqmqBgB4/7rok+UKo+j+Oyo8CL9/3x4rZ3bF/k2zEf2Fxud5KkJ7Lq2sx6nyVLS4y5qix+d5cnKy8fTOWWSkp8DSvpH4/S81Ps+TN3a1y1fe1p8Yu34IeAy7AtuwDT4EPC6XfH4ORY/P81PE7y1EJMFnnkjx9/eHUChErVq1ZN7X19dHWloaAGDq1Kno3r07nj17hoiICKiqqgIAVq9ejRMnTuDo0aOYOHEiACAnJwc7d+6ElpYWAGDkyJG4fPkyfv/9dyQlJWH79u3YvXs3unYVnQ21a9cumJubi9cbEBCAAwcOIDg4GKampgCAOXPm4Pz589ixYweWLVsGAMjMzMTmzZvh6FiyH3b69OmDyZMn48aNG3BycsLhw4dx69YtuLm5yaTr1KmTzP///PMPqlevjuvXr6NPnz4Flnvw4EEoKSlh27Zt4oPRHTt2QFdXF9euXUO3bgXPIkhPT0d6errMe5kZVVClqmqx40lJjENOTjY0tWVv1aCpo4fE+KhCv5MYHwVNHT3Z9Nr6yMnOQnJSLLR1izcR1b7PBKSlJGLd3N4QKClDmJONbgNnoJFz709/uRSS4iMBABra+fKuoyf3knjR96Kgmf872nri5aUkxiInJ7vQ5SY9L3wbZmam49LRNWjQog/UqmkCAMxtG6GKajVcPLIanb+eCUCIi4dXQyjMQWJcZIlilUdc3vluzSGKR055x0XBoUH+2Epe3uZ2DTFw0groG1sjKT4K105twT+/DsP0ZaegrlW9dAEVkyLjliYUCuGxfyWsajrByLxmib9fWnl1NX891tDWK/KsuqT4KGjk29c1dPSQlFB4fRQKhfA8vAIWDk4wNCs8vqzMdFw5tgb1m/eBam7d/1zyyldDR375FhZbXvmmJMVCS9dQtO/nrzM6+jLLtLBtiIETV0DP2BpJCaJ6vfW3YZi27BTUNUX1uveI+Tjhthh/zOwAJWUVCAQC9B/3K6xrOpVB9BJ520ErXzlr6ejhdRHbQSvfdtDS1sut53HQ1i14+6Zzh9ZCp7oh7OvJnrkW/uE1Ni8ZiqzMDFRVU8fI6RthZGb/mVEVTtHtec/hC3BqxyKsmdVeXKb9xv4GqzIu09JISRTFoq4pG4O6ph4SY8v3LNovSdHtmn39dqjbtAd09EwRFxmMayc3Ys/qMZiw6FiRV2CWliLHa9Je+FxGWkoinNp+VeLvUvFJ+rWCbVFiXAnKWye3PU+Mg3Z1UXuempKIZd93QFZWJpSUlNB/zCLUbNCqsEWWi7w+tEBd1taTeyufvO9p5PuOhrakT5a7j2hL9pHSrjs/m7otcO7gStzy2I6W3UYiMz0Vl46uAwAkxpd8zK7I/tvSriEGT14OA2NrJMZH4crJf/D30mGYufw0NLR0SxxLaSi6PZdWHuNUeSpS3OVBkeNzQDQu3frrUGRlpqOqmjqGTfsThlLj0i81PhfHllD42LVY5V3Id5JK0daUN0WPz6Up6vcWEuFN0Ajg5Emh8p99du/ePeTk5GD48OFIT0+Hj48PkpKSoKcn2+ClpqYiICBA/L+1tbV44gQQPWckIiICgGhiJCMjA87OkgFfjRo1ZCZuHj58CKFQiJo1ZQcG6enpMuuuWrUqGjZsiJKqUqUKRowYgR07duDt27eoWbNmocuJiIjA4sWLceXKFXz8+BHZ2dlISUlBUFBQocv18fGBv7+/TOwAkJaWJrN9pC1fvhxLliyReW/whMUY8u3PJY4L+U8eFAqLPKNQkO8LQggLfb8oT+944LH3aQyZsgpG5g4Ife+HM/uWQ6u6IZza9i/2cuQu//ZpnN4l2RbDZ2wR5TFfXEJhwffyK+zz/LEWutxCtkd2ViaO/j0Lwhwheo+S5E9DuwYGu67Hmd1LcPfSHggESqjfojdMrOpCSUm5yPyVVIHihhAoqrzzfyYseXnLPDjaoiYsHRphzZzueHjrJNr0HFPs5XwORcQt7fTuXxH+4RUmLtxXqu8X17M7p3F2j6RuDZ22Jfev/PF8OpYCnwsLWU6u8/t/RUTwK4yZu7/Qz7OzMnHsn1kQCoXoNaIU7dSnFNKOFVm++dux3PKVXVDBNNL1oqbMA9FrwtK+Edb+0B2Pbp1E6x5jAAB3PPciOOAJRszYDF09UwS+eoDTu5dCS9cA9vXK4QerAm1R0e15gRjF7XlB189sx5M7ZzFx/q4CE/X6JtaY9rs70pIT8fy+J45snY+JC3aVyQRKRWvP717cg+C3TzBs+mbo6Jnh/av7OLNnCTR1DGBXHmVahNcPT+PaUcm26T0+d3/PH0Mh7/2XVLR2rV7zXuK/Dc1qwsS6PjbO7Yw3T6+hThG3zfhsChivSXtw/RhqNmwL7eoln3ihkitYtp8o70LSi96XvKOqpoHpv7sjIz0F/r53cGbfH6hhYAG7us3LJtP5PPE+jVO7fhH/P2Lm3wXyBOT1wSVsv4XCgnW5kOUWbONLvm5pRmYOGDBhOc4fWImLR9dBoKSEll1GQlNbX+ZqlBJTQP8tPT43tqgJK/tG+GNOdzy8dQJty2l8XtHa8zzlPU6tqHGXOwWMzwHRuHTqr+5IS0mE731PHPt3HibM2y2eQCnv8fnT26dxevenx665bxa5rJKU95dU0cbneSrC7y1ExMkTGfb29hAIBHj58qXM+7a2tgCAatWqARBdUWJiYiLz7JE8urq64r+rVJG9z7ZAIBA/vEnSccqXk5MDZWVl+Pj4QFlZtgHU1JScPVKtWrVS325g3LhxaNGiBZ4/f45x48YVmmbMmDGIjIzE+vXrYWVlBVVVVTg7O8u9BVdOTg6cnJywb1/BH1UNDAp/cOu8efMwa9YsmffOPS38PuXyqGvpQklJucCZGkkJMQVm//No6egXOMsxOSEaSsoqUC/B/b7PHVyN9n0mwDH3ShNji5qIiwrF9dNby2TypFajjjCzlUxsZWeJtn1SfBS0pM62TE6ILnAWgzTNQuJNSoiGRu4ZL+pa1QvdhskJ0QXOnMnOysThv2ciNioYY37cKT4LIo99/TaY8cdFJCfGQklZGdXUtbFqehvoGpijLOSVd8HyK6K8dQuPv6TlnV9VVXUYmTsg+mNgqZdRXBUh7tO7f8PLR1cxYcEe6NQwLvH3S6Jmo44ws5HU/ay8up+Qr+4nfrruF1av85+xCYgOzF4/voJRP+6FdiHxiQ5IZyIuKhgj5+ws07P5xO1YXPHLV15s0uUrShNZIE1R20xcr8MDAYgeXnjx6HoMm7YRtRp1AAAYW9ZCWJAfvM7tKNPJE3n1vKj2vPD2LabQen7jrBuunt6KCXO3w8RS9mpTAFBRqQp9IysAgLltfQS/ew6vC3swYNySAmlLqiK155kZabh8bD2++f5P1HTsAAAwtqiF8KCX8D7v9sUnT6zrdsSQWQW3TUpiFDS0JdsmNSm6wNUo/yUVsV2TpqVrCF09U8RElO55B5+iyPFantioEPg/v40R0zeW+LtUMuL2PF+/lhQfU+DqkjxaOvqFps9f3kpKStA3FrXVplZ1EBHyFldP/1tukye1G3eCuV3BfTcxf/udKD82QE6fnChpm+XtI9LLzTtbvaTrLoyjcx84OvdBUnwUqqiKjiu9L+xEdf2Sj9kV3X9Lq6qmDmPzmogKL5+2DKiY7Xl5jlPzVMS4y5Oix+cqKlWhlzsuNbOpj+B3z+DtuQf9xy75IuPzkoxd5W0PIDfehPztWnSBq28UoSKNzyV5UOzvLUQkwWeeSNHT00PXrl2xadMmJCcny03XpEkThIeHQ0VFBfb29jIvff3iNfz29vaoUqUK7tyRPMwpNjYWr1+/Fv/fuHFjZGdnIyIiosB6jI3LZsBQr1491KtXD8+fP8ewYcMKTXPz5k1MmzYNvXr1Qr169aCqqoqoqMIvKQRE2+fNmzcwNDQskG8dncLvTaqqqgptbW2ZV0lu2QWIBhWm1vXw5rm3zPv+z71h6dC40O9Y2jeCf770b555wcymntyHzBYmIyMVAoHs7qSkpIwcYdlc5KdaTRN6Rlbil4GpPTR1DBDgK8l7VlYG3r+6Dwv7wmMFAHO7RnjrKxtvgK8XLHLvmaqiUhUm1vVklgsAb194w8JOsty8jjzm43uMnrNDfEufwmhoVUc1dW28fXEHyYnRqN2oY0lClyuvvPOXX1HlbVFIefs/94KZdcnKO7+szAxEhr6FViG3FShrioxbKBTi1O5f4etzEeN+2oEaX2BgpqqmiRpGVuJXXt1/J1VHs3PrvnlRdd+2Ed69yF+vvWAudb9goVCIc/uW4uXDixgxZyeqFxJf3gFpzMf3GDG76LpfGuLyzbcP+vt6w1JOfJb2jQqmz1e+FvaOBfZr/+fylwlI6rVmbr3Ozs5CdnZmgbZOoKQsPjGgrKioVIWZdd1C67mVQ6NCv2Mlpz03z9eeXz+7HZdPbsG4H7bC3LZ+sfIjFAqRlVn65wNJq0jtufwyVYKwjPqvkqiqpgkdfSvxq7qRPdS1DBD8WnZ/Dw24D2Nr+dumoqto7Vp+KUmxiI8Jg6ZO+fRpihyv5fG5cRya2jVQq1H5PJuOJFRUqsLMpm6B8n5TRHtu6dCokPQF2/P8hBAiO7P8nq+oWk1Dpv02NLWHpo5+gfY78OX9IvtXC3vHQvptSZ+ct4/kb78DfL3F/UJ1A/NSrbsomjr6UFXTwLO756BSRbVUE+gVqf/OysxARDmPzytae17e49Q8FS3u8laRxud58n7c/xLjc7lj1xf52p9PjF0t7BoVbNeee8HCrlGZ5PNzVKTxOVAxfm8hIglOnuSzefNmZGVloWnTpjh06BD8/Pzw6tUr7N27Fy9fvoSysjK6dOkCZ2dn9O/fHxcuXEBgYCC8vb2xcOFCPHjwoFjr0dTUxPjx4/HDDz/g8uXLeP78OcaMGSNzeXTNmjUxfPhwjBo1Cu7u7nj37h3u37+PlStXwsPDo8xivnLlCsLCwmSumpFmb2+PPXv2wM/PD3fv3sXw4cPFV+EUZvjw4dDX10e/fv1w8+ZNvHv3DtevX8f06dMRHBxcZvkuTNueo/Hg2jE8uH4MESEBOLN3OeKiw9Ci8xAAwPlDa3F4y1xx+hadvkFsVCjO7FuBiJAAPLh+DA+uu6NdL8lVOFlZGQh974fQ937IzspEQmwEQt/7Ieqj5CymOo064uqpf/Dy8TXERobA98FF3Dq/E/WcupRLnAKBAC27jsLNM//Az+ciPga/xolt81BFVQ0NW0qeQ+P+71xcPLJG/H/LriMR4OuFm2f/RWTYW9w8+y/evrgN566jxWladRuDhzeO4uGNY4gMDcC5A8sRHx2GZh2/ASAaoB36azpC3z3H1xNXIUeYjcT4SCTGR4rPOgKARzeP4UPAY8REBOGJ9ykc3jwdLbuNhr6JbZlth9Y9RsPnuqS8z+4T5bV5J1F5Xzi8Fkf+kZR3807fIC4qFB5S5e1z3R1tilHe0VLlfe7AH3j38h5iIoPxIeAJ9v85HempSWjcpn+ZxVYR4z61ayme5N6eTlVNA4lxkUiMi0RmRtoXiRsQ1f3mXUbhlsc/ePnwIiJCXuOk2zxUqaqG+i0kdf/E9rm4fExS95t3GYmAF17wOvcvosLewuvcv3jndxstukjq/rl9S/Hszml89e1qqKppICk+EknxkvhysrNwdMt0hAU+R/9vV0GYky1Ok51Vdj/W5JWvz41jiAgNgEdu+TbLLV/Pw2txVKp8m+WV7/4ViAgNgM+NY/C54Y42PSXl26rbKPg/98aNs/8iMvQtbpz9FwEvbqNV91GS+PPV6wObZOu1WjVNWNduhvOHVuGtnyjdw5vH8djrJOqWQ1vXpucY3L92FPdz6/npvSsKtOeHtvwkTt+i0xDERoXhzL6ViAgJwP3cfaRtr7HiNNfPbIfn0Y0Y+O1vqK5vKq7D6WmSEybOH16Hd68eICYyBOEfXuPCkfV463cfjVsVfMZXWVBke65WTRPWtZrB8/AqvHt5F7GRwXh0yx1PvE+idpOu4uUkxkciLMgPMR9Ft+uMCH6NsCA/pCTFlcs2kd42DduOgs/lf/D22UVEh73GlUPzoFJVDQ6NJdvm0oG5uO0h2TbZWRmICvFDVIgfsrMzkRz/EVEhfoiPkrRnmenJ4jQAkBgTjKgQP4U8S0WR7VpGWjIuHl6J4IBHiIsKRuDLuzj05xSoa1VH7SblM4YBFDdeA0RXSPvccEeTtv2hrPzfughfWUMd2o61oe1YGwCgbmMObcfaULMwUXDOitZWqj3/KNWet8wt73P52vOWnYYgNjoMp/euxMfc9vz+tWNoJ9WeXz21Fa+feSM64gMiQt/ihsdOPLx1Co1b9xWnSU9LFtcJAIiJDEHoez/EFnG/+pIQCARw7jYKN05vxYvc9tt92/wC7ffRrXPheWSt+H/nrqMQUEif7NxN0ie36p5vLLA/d6zXcUiJ1p0YF4mw936Izr2S7GPwa4S9l22/71zah9BAX0SFv8PdS/twdu9v6DpoJqpplO4h44rqv8/u/wNv/e4jJiIYQf5PsHfjDKSnJsGpbb9SxVEalWGcWtHiBoDUpDiEB/khMlR0i/Do8HcID/Ir02dpKGp87nlkHQJfPUBs7rj04tH1eOd3D47Oou36pcfngJyx63ZReTdoITt2vXRUUt4tcseutzxEY9dbHv/ird9ttJQau6anJSMsyA9hQaJ2Oy4qGGFBfjLPckpJikNYvvIOC/Ir1XOaShRjJfy9hYhE/ltHDF+AnZ0dHj16hGXLlmHevHkIDg6Gqqoq6tatizlz5sDV1RUCgQAeHh5YsGABxo0bh8jISBgbG6Ndu3YwMjIq9rpWrVqFpKQkuLi4QEtLC7Nnz0Z8fLxMmh07duC3337D7NmzERISAj09PTg7O6NXr15yllpyGhoaRX7u5uaGiRMnonHjxrC0tMSyZcswZ84cuenV1dVx48YNzJ07FwMGDEBiYiLMzMzQuXNnaGuXbhBeXA1b9kJyUhwun9iMxLhIGJk7YMycLaiubwZAdAARFx0mTl/D0Bxj5mzB2X0rcOfSfmjrGqLvyPmo30xyj+/E2Ej8uXCA+P+bHm646eEGm9rNMHHBbgCAy6iF8Dy2ASd3LkVSQgy0qxuiecfB6PSVa7nF2qbXBGRlpuHMnqVIS46HmV1DjJy9XebS7PjoUJlbulk6NMHAyWtwxX0Drh7fiOqGFhg0eS3M7RzFaeq36IWU5DhcP/UXEuMjYWjmgOEz/4Fu7jZMiA3Hq8dXAAB//9xfJk9j5u6CTe0WAICo8EBcOroOqcnx0NU3Rbu+k+HcbUyZboOGLXshJSkOV09KynvUbNnyjpcubwNzjM4r78ui8u5dSHn/tUhS3rfOueHWOVF5T5gvKu/4mHAc2jwHKYlxUNeuDks7R0z++aB4veVNUXHfu3IQALBtmWTwBwBff7sMTb7gA3db9ZiArIw0nNu3FKnJ8TCzbYjhs7ZDVU1S9xPy1X0L+yYYMHENrp3YgGsnNqK6gQUGTFwLM1tJ3fe5dgAAsHuV5IAFAFzGLoNj6wFIiA3H69y6/++S/jJpRs7ZBevcuv+5GrTIV75mDhg5S6p84yMRFyNbvqNmb4HH/hW4e3k/tHQN0XvEfNSTKl9Lh8YY7LoGl45twOVjf6KGoQWGuK6BhdS+nxAbjsN/59ZrreqwsHfEpMWy9XrIlDXwPLIOR7b8IN63uw6cgeadvimT2KU5tuyJlKQ4XD7xNxLjImFs7oAxc/4R5ychLqpAez52zhac2bcCt6Xa8wZS2+H25QPIzsrEvo0zZNbV+StXdB3wHQAgKT4ah7b8hMS4SKhV04KJZU2M+2ErHMrxIcSKas8BYOCUtbh0dC2O/ZNbpnqm6Pz1DPEBHAA8uHoQ107+Jf7fbfkIAED/8cvQuI2k3SgPjTuKts0N96VIT42HkWVD9P12O6pK7e9JsbLbJjkhAofXSdqkx9fd8Pi6G0xtm6G/6x4AQMSH5zi5RdKWeZ1aAQCo1bQ/On+zolxjKoyi2jWBkjIiQl7j6e2TSEtJhJaOAaxqN8eASetk1l3WFDVeAwB/39uIiw6DU7vyrbvlQcepPpwv7xH/X3f1fADAh93ueDp+nqKy9UmOLXsiJTEOl4//jYTc9nzsD/9IlXcU4qJky3vcnC04vTe3Pa9uCJdR89GguaS8M9JTcWLnUsTHfESVqqowMLXFN1NWwrFlT3Ga4Le+2LpsjPj/M/tWAgCc2vbH4EnLyiS2tr0mICsjHad3L0VacgLM7Rpi9JxtUK0mOb6Kjw6DktRZ4ZYOjTFoyhpcPrYBV9z/RHVDCwyeItsn540Frp3cjMR4yVhAuv0uzrrvXz2Eq1Lt9/blIwEAX42XjN2C3z7FleN/IiM9BfomtnAZ/QsatS79hIOi+u/4mI84sHkOUhJjoaFdAxZ2jnD95cAXG5/n+X8fp8qjqLgB4PWTKzi1Y774M/etotuBt+s7Fe37fV8m8SlqfJ6UEIWjW+eKx6VGFjUxes5W2NdvLU7zJcfneVr3nIDMjDSc3Ssqb3PbQsauMaEQKEmNXe0lY9crxzeihqEFBuYbu4YGPseuPyTjswsHRWMyx9b98dV40d+vHl/BSTdJeR/dIirv9i5T0bF/2ZQ3wN9biEhCICzOwzeIFMD93pe/ZUhFkJGl+AemKYKKMpuiyiQto3LWc9UqlbOeqyhVzrjTsyrnBb4foxWdA8XQ01V0DhRDXbVy7t+qresoOgsKken9QtFZUIjKOj6vUknH58nplbP/rqwq6/g8K7tytmulfFzwf943rSpp4J/ptl+CorPwn+Ncp3xPmlcEjgqIiIiIiIiIiIiIiIikcPLk/5Cmpqbc182bNxWdPSIiIiIiIiIiIiKiCo3PPPk/9PjxY7mfmZl92Xu+EhERERERERERERH913Dy5P+Qvb29orNARERERERERERERPSfxdt2ERERERERERERERERSeGVJ0REREREREREREREuYQQKDoLVAHwyhMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIikqis4AEREREREREREREVFFIRQKFJ0FqgB45QkREREREREREREREZEUTp4QERERERERERERERFJ4eQJERERERERERERERGRFE6eEBERERERERERERERSeHkCRERERERERERERERkRQVRWeAiIiIiIiIiIiIiKiiEEKg6CxQBcArT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIikcPKEiIiIiIiIiIiIiIhICidPiIiIiIiIiIiIiIiIpKgoOgNERERERERERERERBVFjlDROaCKgFeeEBERERERERERERERSeHkCRERERERERERERERkRROnhAREREREREREREREUnh5AkREREREREREREREZEUTp4QERERERERERERERFJUVF0BoiIiIiIiIiIiIiIKgohBIrOAlUAvPKEiIiIiIiIiIiIiIhICidPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAqfeUIVVo5Q0TlQjKoqlTPwrGxF54C+JBVlRedAMYSVc/dGZnblvFdsZS3v6tqVs7xVlCtngVfW8Vqm9wtFZ0EhqrSqq+gsKESs5ytFZ0EhUtIUnQPFqKaq6BwoRpVK+utQZpaic6AYgso5XCMiKjFeeUJERERERERERERERCSlkp5bQERERERERERERERUkFDIS7SIV54QERERERERERERERHJ4OQJERERERERERERERGRFE6eEBERERERERERERERSeHkCRERERERERERERERkRROnhAREREREREREREREUlRUXQGiIiIiIiIiIiIiIgqCqFQ0TmgioBXnhAREREREREREREREUnh5AkREREREREREREREZEUTp4QERERERERERERERFJ4eQJERERERERERERERGRFE6eEBERERERERERERERSVFRdAaIiIiIiIiIiIiIiCqKHAgUnQWqAHjlCRERERERERERERERkRROnhAREREREREREREREUnh5AkREREREREREREREZEUTp4QERERERERERERERFJ4eQJERERERERERERERGRFBVFZ4CIiIiIiIiIiIiIqKIQCgWKzgJVALzyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIikcPKEiIiIiIiIiIiIiIhIioqiM0BEREREREREREREVFEIhYrOAVUEvPKEiIiIiIiIiIiIiIhICidPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKJ0/+A169egVjY2MkJiYqOiulJhAIIBAIoKurq+isEBEREREREREREcklhICvEr7+H6koOgMVnbe3N9q2bYuuXbvi/PnzCsnDggULMHXqVGhpaQEA0tLSMHnyZPj4+MDPzw99+vTBiRMnCnzv+vXrmDVrFnx9fWFqaooff/wRkydPLvZ6MzMzsXDhQnh4eODt27fQ0dFBly5dsGLFCpiamorTpaenY86cOThw4ABSU1PRuXNnbN68Gebm5uI0YWFhOHToEH7++efSb4jPcOfSftzycENifCQMzezRe/g8WNdqKjf9u5f34LF/JSJC/KGla4i2vcejRadvxJ9/DH6Dy+5/IiTQF3FRoeg17Ce07jH6S4RSIrcv7cfNs5K4+4yYB5si4n7rdw9npeJu33s8WnSWxH3v6mE8unUK4cFvAABmNnXRfdBMWNg1LPdY3P+dh0deJ2TeM7dtiEmLD8n9zseQN7ji/idCA30RFx2KnkN/QqvuZVNO4R9e4+zeXxH89hmqaeigWcfB6ODiCoFA1Fm887sHt5UF1zVt2VkYmNqWeH1CoRBXT/yFB9cPIzU5Aea2DdFn1CIYmTkU+T3f+564fHwjYiKCUMPQEl2+no66Tl1l0ty9vB+3zrkhKU5UT3oOk+wf2VmZuOS+Aa+f3kBsRDDU1DVhW9cZ3QbNhnZ1Q/Ey7l87jKe3zyDs/QukpyVj/l93UU1Du8RxFhb3tZOb4CMVd++Ri2H4ibhfPLiAK1Jxdx4wA3XyxX3vyn54nduOpLhIGJjZo+ew+bCqKdk/fh5bu9Bldx38A9r0HI/YqGCs/6FLoWkGu65HvWY9ShithKLKGwB8H3jiwbXDCA30RUpSHFyXuMPEqo7MMhLjInHh0CoE+N5Geloy9E2s0a7PJNRv1r3UMRcnb/m9e3kP5w/ktlnVDdGm53g0l2qri7NNrp/ZCj+fi4gMe4sqVdRgYd8Y3QbPhoGJjThNadqfzyVd99NSEmBm2xC9RxS/7sdGBqG6gfy6731+OxJzt3OPobJ1Pyk+ChePrkbAcy+kpSbCqmZT9Bq+EHpG1uURqgyhUIibpzfh0c1DSEtJgKmNI3oMWwwD06LjfulzAddPbRDH3b7/TNRuLInb59p+PLx+AHHRIQAAA1MHtOntCvsG7cVpTu/4CU9vH5dZrqmNI8bOO1yGESq2XTu+7Sc8LlCXHfHtIlFdLs92razHYgDw/L4nLh2TbJOuA6ejXlPJNklPTcalYxvwwucSkhJiYGpVB71HzIe5bQNJmrRkXDi8Fn4+l5GSFIfq+mZw7jYCLToPLXWsRbl98QCue7ghMS4SRmb26DviJ9jULmpsdh9n9q3ExxB/aOsaon2fcWgpNTZ7fv8irpzaiuiPQcjOzoK+kSXa9RqLJm1cJMt4+QA3zroh+J0vEuMiMWrGRtRrWng5V0Q12jSF7ezx0GlSH2qmhnjwtSs+nrqs6GwVm1AoxK0zm/DklqhdM7F2RLehxWjXHl7AzVMbEBcVBF19S7TrNxO1GnctNO3t8//g+om1aNppFLoMXiDzWVRYAK4dX4UPr+9DKMyBvqkD+n27Hjo1TAtdVlkRCoW4e34TfG8fQlpqAowtHdFh4GLomRQdt/+TC7jtsQHxUUHQ0bdEq94zYddQEndOdhbunv8Tr3xOIzkxChraBqjT7Cs07+YKgZLo3NCL+36C333Z9tzIyhFDZpZte14YoVAIr7Oy5d31m0+X96uHF3DztGx512wkifvWmT/hdXaTzHc0tPXx3UovAEB2diZunlqPgOc3EB/1AarVNGFVuxXa958NLV2jsg80H6FQiBunN+HRDUn/3XPYYhh8om/z87mA6ycl/XeH/jNRu4kkbi+Pf/DyoSeiw99CpaoazO0ao/PXc6BnLDmeykhLxhX3NXj16BJSk+Ogo2eG5p1HwqnDsHKLN49QKMT1U7LjtV7Di9enXz0hGa91GjADdaTifv/qPrwvbEdooC+S4iMxZOom1G4i225npCXj0rE1ePnoMlKT4qCrL4q7Wcfy6b+KUl7j1sBX9+F9Xmo7fLcJdZoorv9S5Bju6ok/8fyuB+JjwqGsUgWm1vXQecAMmNs5lkusRCTBK08+wc3NDd9//z1u3bqFoKCgL77+4OBgnDp1CmPHjhW/l52djWrVqmHatGno0qXwjuPdu3fo1asX2rZti0ePHmH+/PmYNm0ajh07Vux1p6Sk4OHDh1i0aBEePnwId3d3vH79Gi4uLjLpZsyYgePHj+PgwYO4desWkpKS0KdPH2RnZ4vTGBsbQ0dHp4TRl42ndzzgsW8F2rtMwtSl7rCu6YRdqychLiq00PQxkcHYtXoyrGs6YepSd7TvOxFn9yzD8/ue4jSZGWmobmCB7oNnQVNH/0uFUiJP73jg7N4V6NhvEr7/1R3WtZywc1URcUcEY+fqybCu5YTvf3VHR5eJOJ0v7rd+99HQuRe+nb8TU34+AF09U7j9MQHxMR+/SEwODdrix/U3xK+Rs/4pMn1muqicug4q23JKS03CrlXjoaVriMk/H0bvEQvgdW4HvM/vLJB2+goPmTzrGVuVap03PbbB+8JO9B6xEJN/PgxNHX3sWjUe6anJcr8T5P8Ih/+eBcdWLpi69AQcW7ng0OZZ+BDwRJzm2V0PnNu/Au37TsKUpe6wqumEPWsnIS5aVE8yM9IQ9v4FOrhMwZQlxzD0u42IDg/Evg2uMuvKTE+FQ4O2aNdnUqnik+eWxzbcvrATvYYvwsTFR6CpY4Ddq8chPTVJ7nc++D/Ckb9noaGzC6YsPYmGzi44/PdMBEvF/fyuB87vX452fSZj8pLjsKrZFHvXThTHDQBz1t+UefUf9zsEAgHqOnUDAOjUMCmQpmP/71FVVR32Ddp+VtyKKm9AVJaWDo3RddAsues69u9cRIUHYviMv/DdbydR16krDm+ehdD3L0odc3HyJi02Mhh71k6GVU0nTFnqjnZ9JsJj3zL4SrVZxdkmgS/vo3mnYZi46CBG/7AdOTlZ2LV6PDLSU2TWV9L253N5nduG25470WvEIny7qAR1f4so3slLTsKxlQuObMlX9+954PyB5WjbZzIm/3Iclg5NsXedpO4LhUIc3DQVsZHBGDptMyb/7A5dPVPsXj2uwDYpD7cv/Iu7l3ag+9DFGDv/KDS19bF/3Vikp8mPOzjgEdz/nYn6LfthwqKTqN+yH47/MwMhbyVxa1U3RscBczBuwTGMW3AMVrVa4sjmqYgMfSOzLNt6bTF91S3x65tpW8s8RkW2awBg36CtTLs1fKakLpdXu1YeY7GgN49w6K9ZaNzaBd//dgKNW7vg4F+y+/fx7Qvh7+uNgZNWYtqyk7Cv3xpuK8fJjFs89q3Am6e3MGjyH5ix4ixa9RiNM3t+xwufsv9x/smdczi9dzk6uUzCtN+OwbqWE9xWTUJsEWMzt9yx2bTfjqGjy0Sc2r0Mz+5JtkM1DR10cpkE15/3Y+ay42jabgCObF2AV09vidNkpKfAxLIW+o9eWOYxfQnKGupIePoKvtOXKjorpXLX81/cv7wDXb9ZjNE/HYWmjj4ObSi6XQt5+wgnt4natXELRe3ayX9nIPTdkwJpwwKf4vHNQzAwq1Xgs9jIIOxdPQx6RrYYOmsPxi08hVa9XKGiolqmMRbG5/K/eHRtB9p/vRjfzDoKdW19nPh7LDKKiDvs3SOc2zUTtZv2w7AfT6J20344t3MGwgOfyCz3mfdBtP96MUb+5IHWfX/Aw6vb8eTmHpllWdVui/FLb4lf/SaWfXtemLzy7jJkMUbNPQoNbX0c3liM8t4+E/Va9MPYBSdRr0Xh5a1v4oCpK26JX+MWnhZ/lpWRhvCgF2jVawpGz3NH/4mbEPMxEO5/Tym3WKXdPv8v7l7cgR7DFmPcAlE931ec/nvrTDRo2Q/fLj6JBi37wX2rbP/9/vU9NO04HGPnHcbwmTuQk52Nfetkx2n/Y+++o6K43j6Af+kgvfdeFRUVsWDvvcQSjTX2ksTYEqPGFFM0P2OJSYyx94K9Ye8KKqJYEEFROkjvHfb9Y2EL7AIqiHn9fs6Zc3S5M3OfmTvP3N075ZzPMoQ/vo5Bk1dg+lJftO7xKc7s/RmhQRfqNGZAor82egmmfHsAWjrG2Lmy+nP6wX+F5/TpPwjP6QfXz0GMRNyFhXkwtXJD39FL5C7nzL7leP74BoZM/h8++/kU2vQYj9N7fsbT++9+cLmu+q1FBXkwtXZD3zHyt8O7VJ99OENTO/QdswQzfzqOSYt2Q8/QEjtWTkJOZmqdxkxEHDypUk5ODnx8fDBjxgz0798f27Ztq1Tm+PHjcHZ2hoaGBrp06YLt27dDQUEB6enpojJ+fn7o2LEjNDQ0YG1tjVmzZiEnR/4PYJJ8fHzg4eEhdReHpqYm/vnnH0yZMgVmZmYy51u/fj1sbGywZs0aNGzYEJMnT8bEiRPx+++/1zh+XV1dnD9/Hh9//DFcXV3Rpk0b/PnnnwgMDBQNJGVkZGDz5s1YuXIlunfvjubNm2PXrl149OgRLlyo+85KTdw8sx2enYbAq/NwmFg6ot+YRdA1MMPtS/tklr9zaR/0DM3Rb8wimFg6wqvzcLToOAQ3fLeIylg5NEGfT75C0zb9oKyi+q5CeS3XT29HS4m4B4xZBF1DM9y6KDvu25f2Qc/IHAMk4vbsNATXJOIeOXMF2nYfBQvbhjCxcMCQSUshKC1F+BP/dxKTkrIqtPWMRVMDLb0qy1s5NEHvkWX7SVn2fhIIBLjuuwmrvuqBH6c0w19LBuNxwNkql/vQ/wSKiwowZPIymFq5wL1lT3TsPw03z26DQCCQKqupbShVZ0VFpdeKubyO/ud2oOOAaXBv2ROmVi4YOmU5igry8fDWSbnz+Z/bAUd3b3TqPxXGFg7o1H8qHBq2gf+5HaIyfme3o0XHIWjZaThMLBzRd/Qi6BiY4U7Z8aHeQBuffrUFTVr1gbG5PaydmqHfmG9Fd/OU8+41Hh37T4F1LV75IhAIcOv8DnToPx2NyuL+aHLN4nZw90bH/tNgbO6Ajv2nCeM+v10c97ltaN5xKDw7DYexhSP6jBLGHXBpr6iMtq6x1PT0/iXYubWGgYk1AEBRUalSmZB7F+Deqg/U1DXfKu762t8A0KzdIHQZ9BkcG3nLXVf08wdo0300rByawsDEGp0HzoB6A23ER7z54ElN6ibpzuV90DU0R9/Ri2Bi4YiWnYajRYchuHlGnLNqsk3Gz9+IFh0+gqmlM8xt3DBk0q/ISIlHXESw1PpeN/+8jfK237H/dDTyLGv7k5ajqDAfj27LbwO3zu+AYyNvdOgnbPsd+k2DfcM2uCXR9v3PbkOLDkPh2VHc9nUNzHD3srDtp7yKQEz4A/Qf+z0s7ZvAyNwB/cZ+j8L8HDy6farOYi6P+86FHWjXdzrcWvSEiaULBkz4DUWF+QiuIu47F7fDvqE32vWZBiNzR7TrMw12DdvgzkVx3C4eXeHUpBMMTe1haGqPLh/NgapaA8S+CJJalrKyKrR0jUWThqZercdYn3mtPEbJvCXZlusqr9VFX8zv7A44NvZGpwFlx/eAqXBs1AZ+Z4XHd1FhPoLvnkevEfNh7+YFQ1NbdBvyOfSNrXBHYptEPQ9C8/aD4NCwFfSNLdGqy8cws3FF7MvHbxyvPNdPb4NX56Fo1WUYTC0dMXDsQugamsvtm926tB96huYYOHYhTC0d0arLMLTsNATXfLeKyjg2aoXGXt1haukIQ1MbtO89FmbWLogIvScq4+bREb2Gf4nGXrLvWnjfJZ29hrDv1yDh6Pn6rsprEwgECLi4A959psO1eU8YW7qg33hhXntyR/4xH1CW19r2ngZDM0e07T0Ntm5tECCR1wDhlefHt3yFPmN+hnqDyheqXTu2Go6NO6LL0K9hZtMIesbWcGrSGZo6hrUeqySBQICgazvg1WM6nDx6wtDcBT1GC+MODZQfd9DV7bBx8YZXj2kwMHWEV49psHJpg6Cr4rjjI4Lg0Lgb7N07Q8fQCs7NesPGtT1eRUsfs0rKqtDUMRZN6rWcz2URCAS4e2kH2vauvL9DAuTHfffSdti5Vd7fdy9J729FJSWpc1QDbQPR39Q0tDHyy61o6NkXhmYOsHRohh4jvkVCVDAyU2UP0NYWgUCAOxd3oL3E+Xtg2fn7cVXn7wvb4dDIG+36lp2/+06DnVsb3L4gjnvU7M3waDcExpbOMLV2w4AJy5CZGof4SHE/LTY8CE29B8POtTX0jKzQouMImFq5IT6i9vN4xbhvX9iBDv2mo6FnT5hYuWBwDfprty+I+2tGEv212xLndOcmHYV3o5RdtCVLTHgQPLwHw85NGLdnpxEws3ZFXB3HXVFd9ludm3ZEtyGzRRev1af67sM1bTsAju7eMDCxhomlM3p98g0K8rLxKia0TuMmIg6eVGn//v1wdXWFq6srxowZg61bt0r9MBoREYFhw4Zh8ODBCAoKwrRp07B4sfRt0o8ePUKvXr0wZMgQPHz4EPv378eNGzfw+eef16gO165dQ8uW8m/ll8ff3x89e0qfYHr16oW7d++iqKjotZdXLiMjQ+rdJYGBgSgqKpJal4WFBRo3bgw/P783Xk9tKS4uRFxEMJwat5P63KlJO0Q9uy9znujnQXBqIl3euUk7xEYEo6T4zbfdu1Qet3PFOBrLjzvqeRCcK2wnlybtEPtSftxFBfkoKSmGhua7uaso4ukdLP+iHdYs6I2jW5YgOzPlrZd54dAfuHf9CAaM+x5f/HIC3j3H49C/X+Pl0zty54l6HgQ7Ny+pgTOnJu2QlZ6I9ORYqbLrvh+C377sgK2/TcCLkNtvVMe0pBhkZyRLtWNlFVXYuXkh6rns/QkIf+B2aiz9A7hzk3aieeQeH43bIbqK5RbkZUFBQQHqDd7+sVxVEcadVCluW1evKusXEx4ER3fpmBwbt0f08yAAwrjjI4LhVLGMeztEh8tebnZGMsIeXkWLDkPlrjcu4jESokKqLFMT79v+lsXGuQUe3TmN3Ox0lJaW4uGtUygpLoJ9w1avtZxyb1K36OdBMnO7ZK6ubpvIkp8nfL9YxbxWF/lHnvK2L9mOlVVUYVdN248OD4JjpW3YHtHhQQDKtnNkcOXjw128nUuKC8vWJ74qWVFRCUrKqoh6FvhWcVUnPTkGOZlJcGjUXvSZsooqbFy8EPNCftyx4UFS8wCAQ6MOiJFzPJeWliD4zikUFebC0qG51N8iw+5g9by2+OfbXji141vk1PJ+fh/yWsTTO/jfLG+s/aYXjm2tui3XRl6rq75Y1PMHcJZ1fJcts7SkBKWlJVBRkb7CXkVFDZFh4oEFWxdPPL1/GRmpryAQCPDiyW0kJ0TAuYl0m3pbxcWFiH35pHJfq7E3Ip8FyZwn6lkQXCrE6NKkPWLk9M0EAgGeP/ZHUkJElY8Co3cnoyyv2TWUzmvWzl6IrSKvxb0IkpoHAOwbdag0z7l9S+HYuBPsGla+4EFQWorwR1dgYGKH/WsnYe1XbbF9+XCEvYOr8TNTYpCbmQQbN4m4lVVh6eSF+Aj5ccdHBEnNAwjvIJGcx8LBE9Fht5CW+BIAkBT7FHEvAmHXsJPUfDHP72Djt22x45deuLjvW+Rm1d15u1z5/rZvJGN/yzknAUDsiyCpeQDZ+zstMRJ/f9Me67/timOb5iA9KbrK+hTkZQMKClDTqNs+e3qy8Nzm4C4dt62Ll9xzMQDEvKh8/nZ0l3/+BoTfQwDpfpq1UwuEBV1CZpowj0c8vYXUVy+l6lMXyuOW1V+rKobo8CA4VDpfi8/pNWXjLB33y6e3kJIQAafGdRt3RXXVb33fvA99uHLFxYUIvLIf6hraMLWW/ahpIqo9fOdJFTZv3owxY8YAAHr37o3s7GxcvHhR9Kis9evXw9XVFStWrAAAuLq64vHjx/jll19Ey1ixYgVGjRqF2bNnAwCcnZ2xdu1adOrUCf/88w/U1dWrrENERAQ8PT1fu+4JCQkwNZV+tqmpqSmKi4uRnJwMc3Pz115mfn4+vvnmG4waNQo6Ojqi9aiqqkJfX7/SuhISEmq87IKCAhQUFEh9VlSoAhXVt7ulPDcrHaWlJZUe2aSlY4jsjGSZ82SlJ8O5ifTVWFq6RigtKUZOdhp09Exkzvc+EcWtUyFuXUNkyYs7IxlauhXi1qk67jP7V0JH3xRO7vKvUK8tzk07wN2rF/SMLJCWFIuLh9di62+fYsYPh9747p/Cglz4nd2GCQu2wsZJ+AOagYk1op4FIuCKD+zdZP8QnJ2RDH0jS6nPyrd1VkYS9I2toKVnjEGf/ggLO3cUFxfigd9xbPvfBEz8ZjvsXL1eq57lbbXS/tQxlPtIo/L5NCvMo6ljJFqe3HaiI7+dFBUW4NyBVWjSpj/UNbReK47XlZ2RVFbnisejodxHvQjnS4ZWxXl0DEXLy81KQ2lpiczlZj+WHXfQzaNQU9dEw5byr3q6d+0QjC0cYePcQn5QNfA+7W95Rsxchf3r5mLZ522hqKQMFVV1fPLFWhiY2LzWcsq9Sd1k72dhzsrNToO2nkm126QigUCA03t/g62LJ0ytXESf10X+qUp2puy2r6ljiIxq20DleSTbvqC0BJq6ssoIt4mRmQN0DS1w4eAqDBj/I1TUNOB/dhuyM5KQnZ701rFVJUdu3EbIrCruTNlxly+vXGJMKLb9NhLFRQVQVWuAYTP+hrGFk+jvjo07ws2zN3QNLZCeHIOrx/7A7lXjMXHx4Vrbz/Wd15ybdIS7lzjGS4fXYvv/PsW072W35drIa3XVFxNuk4rLNBLlDDUNTdg4NcPlY//A2MIRWrqGeOh/CjEvHsLQVPwIzf5jF+Ho5u/wv9mdoaikDAUFBXw06SfYub5+/7sq4u1QeR9lpb9G30zXULgdstKho28MAMjLzcKvX3RGcXERFBUVMfjTJXBpUvd9M6qe/HxuVOXdADXJa08CTuFV1BOMX3hQ5jJyslJQWJCLW2c3osPA2ej80Xy8CL6Ow/9+jlFzdsDG5c0ueKiJ3CxhPRtoS8fQQNsIWVXEnZuVLGMe6bg9u01BQV4Wdi7rA0UFJZQKStC27xy4evYXlbFt2BFOzXpDx8ACGSkxuOX7Bw7/PR4j5x+Wezd6bSjf3xVj0NQxqvL8nZOZDM2K81SI29yuKfqN/w0GpnbIyUyB3+l/sOv3kZi05CQ0tPQrLhLFRQW4evR3NPLqD7V66rNXF7e8fkvF83c5gUCA8z7LYO3kCRNLcT+t1yff4uSOJVj7dUdRHu837mfYONftIHJ53BXPzzXpr8k8p8uJW54+oxbjxPYlWD2/kyjuAeN/ho1z7Z6/qlNX/db3TX334QAgNOgyDq6fh6LCPGjpGmPc/C3Q1K58/BNR7eLgiRyhoaG4c+cODh8+DABQVlbGiBEjsGXLFtHgSWhoKLy8pH8EbdVKuhMaGBiI58+fY/fu3aLPBAIBSktL8fLlSzRsKP0S3ory8vKqHWCRp/zF1ZLrlfV5TRQVFWHkyJEoLS3FunXrqi0vEAheaz3Lli3Djz/+KPXZ8Enf4eMptfOC+Yo1EUAAVFG/SnUv33aVlvSeqxR41fulYnwCyI/76slNeHDLF1MWbX/rQa6KHvidwPHtP4j+P3buv2jSuq/o/6ZWLrC0d8fKed0R+uAK3Kv4QbsqibHhKC4qwPYVk6U+LykuEr0ge+2i/shIiQcgvDp13Lyy5yVX2o7S28rY3F7qhdM2Ts2RkZKAG6e3Vjt4UjH+MXP+kblK4TFddZuU1ZYr7U8Zy5W1z0uKi+DzzzwIBKUYMO67Ktf7Jh76n8CJ7eJjfvTs9cLqVcpl1ecxWX+vGJPM5crZnvevH0KTNv0rXcFcrqgwH49unUTHga//XOn3dX9X5cKhP5Cfm4lPv96CBlr6CLl3Efv/noNJi3bBzNql+gXI87p1q7gPUX53qIJEkRpskzInd/6EV9GhmLx4t9TndZF/JD30P4ETO6pv+2UfVrmsSrEJhJ9WW6ZsuUrKKhjx2Voc2/otfvuiNRQUleDQqC2cmnSsSSiv5fHt4/DdJY57xOfl796QcQ6upolW3laVjxdDM3tMXnIU+bmZCL13Die2LsCY+btEAyiNvMT72cTSBea2jfHXwq54/ugK3Fq82X5+3/Ja4wpt2cKuMVbP74awB1fQqEJbfpu8Jkud9MVk5ADJ+YZN+w2HNy3Gb192gqKiEsztGqFp2/6Ik3jEoP+5XYgOf4Axc9ZB39ACL0Pv4vj2pdDWNa5051ptkNVWq+ybyetvSHyspq6JL385jMKCXDwPvoWTu/8HA2NrODaqux/HSbbg28dxZo/4mB/+mTCvyWvPVZE9j/CzzNR4XPD5BSO+3CJ1p6B08VIAgLNHN7Tq/ikAwNS6IWJf3MP9a/tqdfDk6d3juOwjjnvA1LK43yCfVyxQ8Xvls/u+CA08jt5jV8LAzAlJsSG4fmQZtHRN0LDVRwAAlxbiXGdo7gJT68bYurQrIoKvwMmj9h7/E3znOM5K7O9hM2Xvb2EM1SxMZp9G/JljY/GdNcaWgIVDM2z4rgce3TqKVt0nSM1bUlKE45vnQCAQoOfIH2oeUA09uiV9/h75hezztzDPV7c0Wb9ZyJ7pzJ6lSIwJw/iv90h9fufiTsS+CMLHn/8DXUMLRIXdxZndP0JL1wQOVTyG9nU9vHUCJyX6a6O+XF8WQuVzb7U7vNL+BmqwsaTcvrATMeEPMPKLddAztERkWAB8d/0IbT3jWo27onfdb60v71sfDgDsG7bG9B+PIDc7DYFXD8Dnn9mYssSn0uAM1Z7S6k/X9AHg4IkcmzdvRnFxMSwtxVeXCwQCqKioIC0tDfr6+jIHCCq+76C0tBTTpk3DrFmzKq3Dxqb6K3SNjIyQlpb22vU3MzOrdOdHYmIilJWVYWj4eom1qKgIH3/8MV6+fIlLly6J7jopX09hYaFom0iuy9u75ifshQsXYu5c6ZcTn3qg8lr1lKWBth4UFZUqXbmck5kq9wSjrWdUqXx2ZgoUlZTr9Bn3tak87opXdGZXFbdu5bhz5MR97dQWXDmxAZMWbIG5TeWXU74tt+ZdYeXYVPR/HX3TSmW09Uyga2SOlFeRb7ye8i+VY+b8U2kd5VeljZv7L0pKigEAKqrCgUwt3cpXrpc/9qSqF9NbOXrggf8JuX8vVzH+4rLH6GRlJENb4g6gnKzUSlekShLWU/rKnZysFNFV5/LaiazllhQXYf+6OUhLjsHEBVvr5K4T12ZdYOkgjrv88UHZFePOTKnyWd1aMtpydmYKNMv2TQNtfdlxZ6ZUuiIfACLD7iI54SWGz1gtd51P7p5FUWE+mnkPlh+gHO/j/q5KamIUbl/cjc9/OQ5TS2cAgLmNGyLD7uLOxT0Y+OkPNV5WuTepm6zjsGLOqm6bSDq582c8DbqMyQt3QtdA9vvEytVG/pH0Om2/qi9HWrpGyM6suA1TRHmpgbY+FGRuZ+nlWtg1xowfjyI/NwslxUXQ1DHAxp8+hoVd4zcPUgZnj66YbC9+T1J53DmZFdt+SqU7iCRpybibKCcztdI8SsqqMDAR3nFgYdcEcRGPEHBxB/qOlf0Sam09E+gaWiA1MeK14pL0vua1cuUxymrLb5PXJNVVX0zm8V3hGDE0tcGUxTtRWJCL/Lxs6OiZYN9fc6BvLOzfFxXm4/yBNRj15Vq4NesMADCzcUV8VAhunN5aq4Mnou1Q4S6T7Az5eU5b10hm+Yp9M0VFRRiZlbVt24ZIjH2Byyc2cvCkHjh5dMVEibxWLHHMa+m+ZV7LEue1hKhg5GalYNuvQ0R/F5SWIPp5AAKv7MZXfz1CAy19KCoqw9DcUWo5hmaOiHleu49hdGjcFWa2MvJ5VjI0JeLOzU5BA235cTfQNkJulnTcedmpUvPcOP4/eHabCpcW/QAARhauyEqLw90L/4oGTyrS1DWBtr4F0pMiXju2qjg17QoLu8r7OydTen/nZqVAs4q4NXWMkFPh/J2bVfk8JklVrQGMLFyQVuEcVVJShGMbZyM9OQafzN5eJ3eduDTrCksHif1dJPv8nZtZTTvXrXncZ/b8hLAHlzDuq13QkeinFRXm4/KR1Rg+8y84N+0MADC1csOr6BDcOre5VgcRXD26wOr7yn32iuf03Kwa9NdknK8r3k1ZlaLCfFw8vAYjPvsTLh6dAQCm1q5IiH4Kv7Nb6nTw5F31W+vb+9iHU1VrAENTWxia2sLasRn+WNAL964dRMf+094sSCKqEb7zRIbi4mLs2LEDK1euRFBQkGh68OABbG1tRXeRuLm5ISAgQGreu3fvSv2/RYsWCA4OhpOTU6VJVbX6W4abN2+OJ09e/wW8bdu2xfnz0i9VPHfuHFq2bAkVlZoPSpQPnDx79gwXLlyoNPDi6ekJFRUVqXXFx8fj8ePHrzV4oqamBh0dHampNu5mUFZWhYWdO54/ln7/yvPHfrBxbi5zHmunZjLK34SlnTuUlN9+QOddKI/72WvEbSMj7mePbsLSXjrua6c249KxfzDhqw2wcqjdH9LKqWloijoFhqa2okELSbnZachMSYC2nvEbr8fEwgnKyqrISImXWp+hqS10DYWPttMzshR9Vj7AYuPUDBGhd0UdZkDYRrT1TKBX4XFekuKjQmpU34rxm1g4QUvXCOHB4v1TXFyIiKcBoseNyWLt5IHnwTLaQNk85e0kvEKZ8GA/WEsst3zgJOVVJCZ8JbzToC6oaWhJxW1s4QQtXeNKcUeGBkjVryIrx2Z4USmmm7B2agZAGLe5jLhfPPGDtWPl5d67dhAWdu4ws5H/PNl71w7CtXkXaOoYyC0jz/u2v6tTWJAPAFBQkO5CKCoqiQYkX9eb1M3aqVml8hVzdXXbBBBe9HBy5094EngeE7/eCn1jq2rrWxv5R5Lctv+kQhuopu1bO1beJuGPb8LasRmAsu1s6y61XED+dlZvoA1NHQOkvIpAXMRjuDbv+hZRVqamrgUDE1vRZGTuBE0dY7x8clNUpqS4EFFhAbBykB+3pWMzvAy5KfXZiyc3YCXjeJYmEH0RliU3Ow2ZqfFSP4C9rvc1r5Urj1FWW36bvCaprvpiNk4elfstcpapqtYAOnomyMvJwLPHN9GwRTcAQElJMUpKimo1n8mjrKwKS/tGlfpmzx77wda5mcx5bJybySh/E1b2VfdJBRCIfsykd0tNXQv6JraiqTyvRYRI57XoZwGV3rkkycKhmdQ8ABARckM0j61bG0xacgITFx8VTWa2jeHeagAmLj4qeleVuV0TpL56KbWc1FcR0DWU3199E6rqWtAzthVNBmZOaKBjjOhQ6bhjnwfA3E5+3OZ2zRAVKh131NMbUvMUF+ZXuoBRQUGp0kWMkvJy0pCdHg9Nndp9/PJr7e8qcrGljP398smNKttIcVEhUhLCoaUrzt/lAydpiZEY+eU2mY/zqg2Vzt9l57YXFc7fkWEBVZ6LrRyaSc0DVD5/CwQCnNmzFKH3z2HsvO3QN7aWKl9aUozSkqLKbUKx6jbxJtQ0tGBgaiuajEVxi/N0SVl/raq4rR2bSc0DAC8kzuk1IYpbUfr8paCoCEFp7Z6/KnpX/db69r734YSq7ssSUe3g4IkMJ0+eRFpaGiZNmoTGjRtLTcOGDcPmzZsBANOmTcPTp0+xYMEChIWFwcfHB9u2bQMgvuVuwYIF8Pf3x2effYagoCA8e/YMx48fxxdffFGjuvTq1Qv+/v4oKSmR+vzJkycICgpCamoqMjIyRAM85aZPn47IyEjMnTsXISEh2LJlCzZv3oz58+fXeDsUFxdj2LBhuHv3Lnbv3o2SkhIkJCQgISEBhYXCBK2rq4tJkyZh3rx5uHjxIu7fv48xY8agSZMmoseb1bd2vccj8Ooh3L16CImx4Ti1exkyUuLRqusIAMBZn1U48O8CUflWXUciPTkOvruXIzE2HHevHkLg1cNo33eiqIzwpbshiIsMQUlxETLTEhEXGVJrVyHXhg59xuPuFXHcJ3ctQ3pKPFp3E8Z9Zv8q+KwXx92660ikJcfhpETcd68eRkeJuK+e3IRzB//AsCm/QN/IElnpSchKT0JBfk6dxlKQn4Mz+/6HqOf3kZYUi5chd7BrzUw00NZHoxY9ROUObliAcwdWif5fXFyI+MgQxEeGoKREuJ/iJfaTmoYm2vWZgNN7l+P+jaNITYxCXOQT3L6wG/dvHJVbn6Zt+kNZWRWHNy3Cq5gwPAk8j2snN6Bdr09Fx77f2e14EngBKQkReBX7DOcOrMKTu+fQutuo145fQUEBbXuOw7UTG/Ak8DxexYTh8KZFUFFTR9M24uc7V4y/bY9xCH/sh2unNiIp7gWundqI8Cf+aNtznKiMdy/h8RF47RAS48Lhu6fs+OgibCclJcXY9/dsxEYEY9i0FSgtLRHtd8nBo6z0JOG2TRRu21cxYYiPDEFudvprxysZd5se43D95L8IKYv76KaFleI+vHEBzh9YKfp/mx5jER58E9dPbURS/AtcP7URL574o22P8eK4e36Ke9cO4t61Q0iKC8fpvcK4vbqMlKpDfl42ggPOokXH4XLrmfIqEpFhd6ss87px19f+BoDc7HTER4YgKe45ACA54SXiI0OQVfa+C2NzexiY2uD4tu8R8+IhUhOjcPP0VoQH+4l+kHwT1dXt3IFVOLhBIld3Eebq03uXIzEuHIHXDuHetcNo11ucs2qyTU7uXIoHficwfPoKqKpritp3UaFwkKim+ac2yWz7mxdCRVUdTVpLt/0LB8Vtv3VZ27/hK2z7N3w34kWIP9pItP22vcra/nVh2z+zdxkyUuPRsrO47QcHnMHLp7eRmhiNp/cvYsfvE+HWoludv4BUQUEBrbqPw83T/+Lp/fNIjA3DiW3CuN0l4j6+5WtcPiyOu1W3cXjx5Cb8zmxAcnw4/M5sQESIP1p1E8d9+cgqRD27i/TkGCTGhOLykdWIDL0D99YDAACF+Tm4cOA3xITfR3pyDCJDb8PnrxlooKUP1+a115+pz7xWkJ+Ds/t+Q/Tz+0hLjsHLp7exZ80MNNDWR8MW0jHWdl6ri75Y217j8PyxH66dLDu+T25EeLA/vHuJj+9nD28g7OF1pCbF4Pnjm9i07FMYmdnDs4Pw6nR1DS3Yu3nhzL4VeBFyB6lJMbh3/Qju3ziGRp6134/t0OdTBFw5iICrh/AqNhwndi1Heko82pT1zU7vX4X9678RlW/TdQTSUuJxYtdveBUbjoCrhxBw5RA69hU/oufy8Q0Ie+SHlMRoJMa9wDXfbbh34ziatxsgKlOQnyPqtwJAalIs4iJDkFbFM9rfJ0qaDaDj4QYdD+FFDA3sraDj4QZ169d/h+O7pqCgAK9u4+B/5l+E3j+PpNgwnNouzGuNWomP+RNbv8aVI+JjvmXXcXgZchO3zm5ASkI4bp0V5jWvsrympq4FY0sXqUlFtQE0NPVgLPEuiFY9JiHk7mkEXfdBWmIkAi/vwvNHl9G80yd1HnezjuMQcP5fhD88j5T4MJzfI4xb8t0k53Z9jZsnxHE36zQOUaE3cffCBqS+CsfdCxsQHeaPZp3Euc7evQsCzq/Hy+AryEyJQfjD87h/ZSscmwiP2cKCHFw/9hviX95HZkoMYp7dxomNM6CuqQ/HpnX7/VRBQQEtuwr3d1iQ9P5u6CWO++S2r3H1qDhuzy6V93fkU3+07CqO+9Kh3xAVdgfpydGIe/kARzfOQmF+Nhq3Eeaz0pJiHN0wCwlRjzFg4u8oLS0Rvq8sI6nOf1xVUFBAq27jcNP3Xzy9Jzx/H98qjLuxxPn72OavcUni/O1Vfv4+XXb+Pr0BL0P80bq7OO4ze37Eo1vHMXjySqiqa4piKu+nqWlowcalFS4eXIGI0NtIS4rGg5uH8cj/KNxq8fwtL+7W3cfh+ql/EXLvPBJjwnB0S+X+2pFNC3DhkER/rbu4v5Ys0V9rLXFOL8zPQUJUCBKihHk7LTkGCVEhoneIqGlowdbVC+d9ViDi6W2kJcUg6MZhPPQ7Brc66p/KU5f91oL8HMRHhSC+bDukJ8cgPiqkyvdA1pX67MMVFuTiwsFViA4PQnpyLOIignFsy7fITE2Au1fvd7cRiD5QCoLaHo7/f2DAgAEoLS3FqVOnKv3t3r178PT0RGBgIFq0aIHjx49j3rx5iI6ORtu2bTFixAjMmDFD6l0lAQEBWLx4Mfz9/SEQCODo6IgRI0Zg0aJF1dalpKQEtra22Lx5M3r16iX63M7ODpGRlX+ol9ydV69exZw5cxAcHAwLCwssWLAA06dPF/39ypUr6NKlC16+fAk7O7tKy4qIiIC9vb3Mel2+fBmdO3cGIHyR/FdffYU9e/YgLy8P3bp1w7p162BtLX1VyLZt2zB79mykp6dXGzcAHLxde1dM3LqwB9d9NyMrPQmmVs7oO+ob2LsJ3ztxcMNCpCfHYvKiHaLyL5/ewandy5EY+xw6eibo0H8yWncV/7CUlhSL3+dV7ozZu3lJLedNKNbiIz79L+zBtVPiuPuPFsd94N+FSEuOxdTF4vq+CBHG/aos7k79J6N1N3Hcv83pJvNlaN0++gzdh3z+VnUtLpH/t6LCfOxZ+zniI0OQn5sFLT0jOLi1Rrchs0R3iADA5mXjoG9kiSFTlgEQ7qdVX1XeT3auXpi0UBi3QCDArQu7cOfiXqQlxUC9gTbMbRuh04CpVb6bJCE6DCd3LkXsi0dQ19SBV5eR6DJopmjw5LrvJty9cgCZaa+goqoOE0sndOw3BS4eneQusyoCgQCXj/6NgCv7kZ+TCSvHpug/donUS60rxg8AjwPO4uKhP5CWFAN9E2t0H/plpXc03L64Bzd8NyMrIwmmls7oM+obUezytiEATFywHfYNhY8EuXTkL1w+9nelMh9N+hUtOlR+hEKpoGYNXSAQ4Mqxv3D3ig/yczJg6dgU/cZ8JxX31uVjoWdkiY8mLxd9FhxwBpcOi+PuNmR2pef537m0Bzd9NyErIwkmls7o/cnCSvv87pX9OLN3Geavvg71Btoy63jh4Co88DuOOb9fgqJi1dckKCrU7JRbX/sbAO5dP4Ijmyufn7oM+gxdPxIe5ykJETh3YBUin91DYX4uDExt0L73BDRrN6hG8clTVd0ObxTmrPJjFxDm6tN7hblaW88EHfpORquu0gNg1W2TJZ/KfvdYedutaf6RpaT0zRN6edsPvOqDvJwMWDk0Rd+Kbf+3srY/SaLt3xW3fQMTa3QdMhuNPGW0/dObkF3W9nuNlG77t87vgN+ZLcjOTIG2njE82g5Cx4EzavyS3aLit4v7+om/cO/afuTnZsDS3gO9Rn0n9WLYnb+PhZ6hJQZMEMcdEngGV4+uQVpyDPSNrdF58Byp95Sc3L4IEU9vITsjEWoa2jCxdEXb3lPg0KidsM6F+Ti47jMkRD8R7mddY9i5tkanQV9Cx6BmP9CqqtT8+K6PvFZUmI+9az9DQlR5WzaGvVsrdP3oy0pt+XXymrJSzeKu7b4YADy+cxbnD/2BtERhe+8x7Eu4e4m3yaPbp3HuwGpkpCZAQ1MX7l490XPYbKl8npWehHMHVuPZ45vIy86AnpEFvDp/jHa9x1f5DHNlxTf7CuV/fi+untqMzPQkmFk5o/+Yb+DgJnypsc+/i5CWFItp324XlX8REoATu8r6Zvom6Nx/EtpI9M3OHvgDD26dRkbqK6ioqsHYwgHte42FR5s+ojLhT+5gw6+fVqqLZ4fB+Hjar69VfxXvRq8Z8dsz6NgKbS/urPR59I7DeDhp4TupQ+K50DeeVyAQ4MbJvxB0XZjXLOw90HPkd1KDHLtXjoWuoSX6fyo+5p8GnsG142uQXpbXOg6aA9fm8t/XsXvlWJhau6H7x4ulPn9w8yBundmArPQEGJjao33/L+DSrGY/Kufmv2awEgQCAW6f+QuP/fejIDcDprYe6DLsOxiai+M+9OdY6BhYosdocdzPgs7glu8aZKTEQNfQGm37zZF6T0lhfjZu+f6B8EcXkJudAk0dE7i26IdWvT6DkrIqigvzcXLzZ0iKfYKCvCxo6hjDyqk12vT9Etr6NcvnGm/xAASBQICbp6T3d48R0vt7zyrh/u43XmJ/3zuD62X7W8/YGh0HSu/vY5vmIOZ5AHKz09FASx8W9s3QYeCXMDIXvrcrIyUG67+VfRHLJ3N2wMaldbV1V3mLh7oLBAJcO/EX7l/bj7ycDFg6eKB3hfP3jhXC8/fAidLn7ytH1wjPbcbW6PKR9Pn75ymyHxE94NNl8GgnfGxddkYSLh1ehZdPbiAvJwO6hhZo3mEEWvf4tNp3UQCA0hvmc0AY99XjFfpro7+DicQ5fdv/hHEPluivPbl7BpeOSPTXPpqNhhL9tYint7F9xXhU5OE9WLSc7IwkXDy0CuHBN0Vxe3b8GG161izuN3gVrlx11W99+fQ2tv9PxnZoN1hqOa/jbeKutz5cUQEOrZ+PmBcPkJudhgZaerCwa4JOA2bA0qFJjeo+0vv9eJfMf82ZIN7Z87p6N6vZd8b/Eg6e1LJffvkF69evR3R0dK0tc926dTh27BjOnj1ba8sEhIMZv/zyC548efJaj/J6m/XV1+DJf0ltDp78l1Q1eEL//9R08OT/m5oOntD/D28zePJf9jaDJ/9lNR08+f+mpoMn/9+86eDJf119DJ68D95m8OS/7G0GT/7L3mbw5L/sbQZP/sveZvDkv6w2B0/+Sz7UuDl48mY4ePL6/j8Onnygp8fas27dOnh5ecHQ0BA3b97EihUr8Pnnb3cFfkVTp05FWloasrKyoK0t+8rnN3HmzBn8+uuv72TgREtLC8XFxaK7cYiIiIiIiIiIiIjeR4IP9KJPksbBk7f07Nkz/Pzzz0hNTYWNjQ3mzZuHhQtrdvv49evX0adPH7l/z87OBgAoKytj8eLFcsu9qX379tX6MuUpfx+LkpLSO1snEREREREREREREdGb4ODJW1q9ejVWr179RvO2bNlS6iXv/585OTnVdxWIiIiIiIiIiIiIiGqEgyf1SENDg4MKRERERERERERERETvGcX6rgAREREREREREREREdH7hIMnREREREREREREREREEvjYLiIiIiIiIiIiIiKiMgJBfdeA3ge884SIiIiIiIiIiIiIiEgCB0+IiIiIiIiIiIiIiIgkcPCEiIiIiIiIiIiIiIhIAgdPiIiIiIiIiIiIiIiIJHDwhIiIiIiIiIiIiIiISIJyfVeAiIiIiIiIiIiIiOh9UQqF+q4CvQd45wkREREREREREREREZEEDp4QERERERERERERERFJ4OAJERERERERERERERGRBA6eEBERERERERERERERSeDgCRERERERERERERERkQTl+q4AEREREREREREREdH7QiCo7xrQ+4B3nhAREREREREREREREUng4AkREREREREREREREZEEDp4QERERERERERERERFJ4OAJERERERERERERERGRBA6eEBERERERERERERERSVCu7woQEREREREREREREb0vBAKF+q4CvQd45wkREREREREREREREZEEDp4QERERERERERERERFJ4OAJERERERERERERERGRBA6eEBERERERERERERERSeDgCRERERERERERERERkQTl+q4AEREREREREREREdH7olRQ3zWg9wHvPCEiIiIiIiIiIiIiIpLAwRMiIiIiIiIiIiIiIiIJfGwXvbeKihXquwr1Qknxw7wvUPEDHcrNK/gwA9dSL6nvKtSL4tIPM6+VfKBxqyh/mPn8ZUxpfVehXthYfJj5XCD4MI/v0g9zdyPtXGh9V6FemPR0re8q1Iu1o/bXdxXqhbOHfX1XoV5Y22jXdxXqhZbmh5nQNdTquwb1Q131w+yfE9Gb+zDPEkRERERERERERERERHJw8ISIiIiIiIiIiIiIiEgCH9tFRERERERERERERFRGwKe8EXjnCRERERERERERERERkRQOnhAREREREREREREREUng4AkREREREREREREREZEEDp4QERERERERERERERFJ4OAJERERERERERERERGRBOX6rgARERERERERERER0ftCAIX6rgK9B3jnCRERERERERERERERkQQOnhAREREREREREREREUng4AkREREREREREREREZEEDp4QERERERERERERERFJ4OAJERERERERERERERGRBOX6rgARERERERERERER0fuiVFDfNaD3Ae88ISIiIiIiIiIiIiIiksDBEyIiIiIiIiIiIiIiIgkcPCEiIiIiIiIiIiIiIpLAwRMiIiIiIiIiIiIiIiIJHDwhIiIiIiIiIiIiIiKSoFzfFSAiIiIiIiIiIiIiel8IBPVdA3of8M4TIiIiIiIiIiIiIiIiCRw8ISIiIiIiIiIiIiIiksDBEyIiIiIiIiIiIiIiIgkcPCEiIiIiIiIiIiIiIpLAwRMiIiIiIiIiIiIiIiIJHDwhIiIiIiIiIiIiIiojEHB63elNrFu3Dvb29lBXV4enpyeuX79eZfmrV6/C09MT6urqcHBwwPr1699sxTXEwRMiIiIiIiIiIiIiInpn9u/fj9mzZ2Px4sW4f/8+OnTogD59+iAqKkpm+ZcvX6Jv377o0KED7t+/j0WLFmHWrFk4dOhQndWRgydERERERERERERERPTOrFq1CpMmTcLkyZPRsGFDrFmzBtbW1vjnn39kll+/fj1sbGywZs0aNGzYEJMnT8bEiRPx+++/11kdOXhCRERERERERERERERvrKCgAJmZmVJTQUGBzLKFhYUIDAxEz549pT7v2bMn/Pz8ZM7j7+9fqXyvXr1w9+5dFBUV1U4QFXDwhIiIiIiIiIiIiIiI3tiyZcugq6srNS1btkxm2eTkZJSUlMDU1FTqc1NTUyQkJMicJyEhQWb54uJiJCcn104QFXDw5D8gNDQUZmZmyMrKqu+qvDEFBQUoKChAT0+vvqtCRERERERERERERLVo4cKFyMjIkJoWLlxY5TwKCgpS/xcIBJU+q668rM9ri3KdLPX/ET8/P3To0AE9evTAmTNn6qUOixcvxmeffQZtbW0AwJUrV7B69WrcuXMHmZmZcHZ2xldffYXRo0dLzXf16lXMnTsXwcHBsLCwwNdff43p06e/1rp/+OEH7Nu3D9HR0VBVVYWnpyd++eUXtG7dWlSmoKAA8+fPx969e5GXl4du3bph3bp1sLKyEpWJj4/H/v378f3337/FlpBNIBDgyrG/EHjVB/m5mbB0aIp+Y76DiaVzlfM9uXsWl46sRVpSFPSNbdBtyGw09OwhVebOpT3wO7MZWelJMLF0Qu9PFsHWpaXo7wX5ObhwcCWe3r+IvOx06BlZonX3sfDq8omoTFZGEs77rEB4sB8K83NgaGaPDv2nwr1l77eO+/LRv3H3qg/ycjJh5dAU/cctgWk1cQcHnMPFI2uRmhgFAxMbdB/6JRpViPv2xT24cXoLssvi7jNqIexcxXEH3z2Hu1d8EBcRjNzsdMz88TDMbRuK/p6bnY5LR/7C8+CbyExNQAMtfTRs0Q3dhsyCegPtt4q7olsX9uCG7xZkZQjr2m+0dF0revn0Dnz3/IbE2OfQ1jNBh36T0LrrSNHfX8U8w8XDfyI2IhjpyXHoO+obtOs9vsIyAnDddwviIoKRlZ6E0V/+iUae3Ws1rpoQCAS4duIv3L+2H/m5mbCw90CfUd/BuJo2EBJ4FleP/SFq+50Hz4FbC3EbuOn7L57eO4eUhBdQVlWHlWNzdBs6H4ZmDlLLSY4Px8VDKxAVFgBBaSmMLZwxZNoa6Bpa1Em8AOB/YS+unRLub1NLJ/Qf8w3sq9jfL0ICcGrPb3gV+xw6eibo2G8i2nQT7+87lw/g3o1jSIh5DgCwsm+EXsNnw9qxqczlXT6+AWcPrEG7XmMxYEzVHYC3cfviHlz33YLsjCSYWDihbw3a9ek9vyExrqxd952EVhLtGhAe+xcOi4/9HkO/RKOW0sd+ZuornPVZibCH11BcVABDMzt8NPFnWNq7AwCyM5Jx1mclnj++ifzcLNi5tkS/MYthZGZXK3FL5vPyvNZvbM3zeXls8vL5zdObkZ2eBGNLJ/QZJZ3PJR3f9h0Cr/qg9ycL0ban+PjfunwsIkIDpMo2btUXw2esesOIZfuQ85osHdwV0MxRAeoqQFwqcDawFMmZ8ssb6QAdGyvCzADQ01TA+fulCAgTVFpmh8bS1xBl5wmw9nhpXYRQLYFAgGvH/8K9a2V9Gfum6D26+rYfEngWV46K+zJdPpotlc9v+P6Lp/fOIyVeIp8PmwcjiXx+9difCA7wRWZqApSUVWBu644uH82GpYNHrcf4PvfXACD6+X1cPLwGsS8eQlFJGWY2bhgzZyNUVNVfK8766p/VZN0BV3zw0P8k4iOfoCA/B4v+vg0NTR2p9cRFBOPcgZWIffEYCoqKcG/ZE70/WQA1dc0abwd52+bGyb/w4Iaw32Ju54Gen3wHY4uqt83Te2dx/fgfSE+Ogp6RDToOmgPX5j1klvU/8y+uHl2Fll3HofvHi6X+lhwfjitHViA6LAACQSmMLJwxaMoa6BrUXb/lbRi0bwmHeZOg26Ix1C1McHfoTLw6frG+q/VWxgw2Q9/OhtDSVMLT8Fz8vTMGkbH5NZq3U2s9LJppB7/ADPy49qXo8/5dDdGvqxFMjVQBAJGx+dh9LAF3H74/Fx72bauGdk1UoaGugMj4Euy/lIeEFPnnG+8mKmjVUBUWRkoAgKhXJThxMx+RCSVS5XS1FDCogzrc7ZShoqyAxLRS7D6Xi+jE+jmXSRIIBLh/6W+EBvigMC8TxtZN0XbAEuibyj/e0149w72LfyIlNhjZ6XFo3fcbuLcbL7f8g6sbEHhuNRp5j0WbfovqIoxqCQQC3D7zF4L99yM/LxNmNh7oPOw7GJpXndeePzgLf98/kJEcBV0jG3j3mwPHpuK8VlpSjNtn/kRo4AnkZCVDU8cYDb0+QqueM6GgKOy/5GYl4+bx3xEVegMFeVmwcGyJzkOXQM/Yri5DBiCM++Yp6XzeY2T1+Tz03llcPyGdz12aSfRbTv6Jm6f+kppHU8cIn/92U6pMyN1TyEpLgKKSCsxs3NFx0BxY2Nduv0UWgUCAq8el+zJ9a9Bfe3L3LC5L9Ne6DpmNhhL9tcjQAPid3Yy4iGBkZyRhxGd/wa2FdD/86OZv8MDvqNRnlg4emLx4f63FR5WVCurmx/j/z9TU1KCmplajskZGRlBSUqp0l0liYmKlu0vKmZmZySyvrKwMQ0PDN6t0NXjnSTW2bNmCL774Ajdu3EBUVNQ7X39MTAyOHz+OCRMmiD7z8/ND06ZNcejQITx8+BATJ07EuHHjcOLECVGZly9fom/fvujQoQPu37+PRYsWYdasWTh06NBrrd/FxQV//fUXHj16hBs3bsDOzg49e/ZEUlKSqMzs2bNx5MgR7Nu3Dzdu3EB2djb69++PkhJx587MzAy6urpvsSXku3l6E/zPbUPfMUswZckBaOkaY8fvE1GQly13nujn93Fg/Vx4eA/E9B+PwcN7IA6sn4OY8AeiMo/v+OLM3mXo0H86pv9wBDbOLbFr9VSkp8SJypzdtxzPH9/AkCn/w2e/nEKbHuPhu/tnPL0v/mJzZOMCJCe8xCez1mHG0uNo6NkDB/+Zi/jIJ28V93XfTfA7uw39xnyL6d/7QEvXCNtXTEJBXo7ceaKe34fPP8K4P1t6FB7eA7F/3VxES8T96LYvTu9Zjk4DpmHG0sOwdfHEzlXTpOIuKsiDjXNz9Bg+V+Z6stITkZWeiN4jvsbnPx/DkMm/4tmj6ziy5du3irmih7d84bt7OToNnIbPlh6GnYsntv8+DenJcTLLpybFYPvv02Hn4onPlh5GpwFTcWrnr3gccE4cW2E+9I2t0evjudDSNZK5nMKCPJjbuGLA2NqN53X5n9mI2+e3oveo7zBx8UFo6Rph9+oJKMiX3/Zjwu/j8IY5aNJmEKZ8dwxN2gzC4Q2zEftC3AYiw+6gZZfRmLDQB6PnbEVpSQl2r56EwoJcUZnUxChs/20UjMwcMHb+Tkz5/jja958JZZWanSTfxINbp3Fy1zJ0GTQNs346BDtXT2xdUcX+TozB1t+nw87VE7N+OoTOA6fixM5f8Uhif78IuQOPtv0wddFWzPx+D3QNzbH5f1OQkfqq0vKiXzzCncsHYGbtWmcxAsJj0Hf3cnQeMA0zlx6GrasndqyUPgYlpSbFYMfK6bB19cTMpYfRqf9UnNr1K4Il4ox6fh/7181FM++B+Pyno2jmPRD7Khz7eTkZ2PDLKCgqKWP8vA2Y9etJ9Bn5tWjAUyAQYPcfnyM1MRqjv/wbM5cehq6hBbb+b6JU23gbN3w3wf/sNvQdvQRTv3uNfP7PXDRtOxAzlh5D07YD4fNPhXx+2xdn9ixDx/7TMf3HI7B1aYldq6bK3KYh9y4g9sVDaOuZyFyfZ6fhmL/mumgaMP7Htw9cwoee1ypq46aAVq4KOBdYim0XSpGTL8AnnRWhWsXlPyrKQHqOAFceCJCdJ5BbLilDgD+OlYimTWfr78cmvzObcOv8NvQetQSTvj0ATV1j7F41sdp8fujfuWjSdiCmfn8MTdoOxKF/50jl86jQAHh1GYUJi/Zj9NwtEJQWY8+qyVLHrIGZHXqPWoJpPx7H+AW7oWtoid2rJyEnK7VWY3zf+2vRz+9j1+opcHRvhylLfDD1uwNo1W00FBRe7+tSffbParLuooI8ODfpgI79p8msS2ZaIratmAQDExtM/W4/xs3biMTY5zi86e1/mLx9biMCLm5Fj5HfYfw3wn7L/j+q7rfEvriPY5vmoHGbQZj47TE0bjMIxzbORtzLB5XKxkc8RND1/TC2rHyeTkuKwq7fR8HQ1AGfzN2Jid8eh3ffmVBWrrt+y9tS0myAzIehCP5yaX1XpVZ83NcEQ3ob4++dMfjihzCkZRRh2VeO0FCv/hgzMVTBlJEWeBRaua0kpRZhi08cvvg+DF98H4YHT7Lww5f2sLWs+aBnXerupYouLdTgcykPK3ZnIzOnFF8M1YSaivx5nK2UERhahD8OZGPl3mykZZXisyGa0NUS/4inoQbMHaGF0hJg3ZFc/Lw9C4ev5iFP9mPl37lH1zch+OY2tB3wLQbO9IGGlhHObJ2EogL5ubC4KB/a+tZo2WsuNLRk91fKJcU8QmiAD/TN6rZfXp3Aixtx/8pWdBr6HUbOPYgGOkY4+s8EFFaR1+Jf3sfp7XPg1nIQRn19DG4tB+H0ttlIiHggtdxHfvvQaeh3GPuNL9oN+Ar3Lm/Gg+s7AQj75Sc3fYaMlGj0n7wOn8w/Ah19SxxZNwFFtdQvr0p5Pu8+4juMW3AQmjpG8Flbg3y+eQ7cWw/ChMXH4N5adj43MnfGZ8tviKaJ356Q+ruBiR16jPgOE789gdHz90DX0BL7105Ebi33W2QR9WVGL8GUbw9AS8cYO1dW35c5+K/wu8r0H4TfVQ6un4MYif5aYWEeTK3c0Hf0kirX79S4A+atui6aRn/5b63FRlQfyi/SP3/+vNTn58+fh7e3t8x52rZtW6n8uXPn0LJlS6ioVHFyfQscPKlCTk4OfHx8MGPGDPTv3x/btm2rVOb48eNwdnaGhoYGunTpgu3bt0NBQQHp6emiMn5+fujYsSM0NDRgbW2NWbNmISdHfqdBko+PDzw8PKTu4li0aBF++ukneHt7w9HREbNmzULv3r1x5MgRUZn169fDxsYGa9asQcOGDTF58mRMnDgRv//++2ttg1GjRqF79+5wcHCAu7s7Vq1ahczMTDx8+BAAkJGRgc2bN2PlypXo3r07mjdvjl27duHRo0e4cOHCa63rTQgEAtw6vwMd+09HI8+eMLVywUeTlqOoMB+Pbp+UO9+t8zvg2MgbHfpNg7G5Azr0mwb7hm1w6/x2URn/s9vQosNQeHYcDmMLR/QZtQi6Bma4e3mvqEx0eBCaeQ+GvVtr6BtZoWXnETCzdkXcy8dSZVp3GwMrh6YwMLFGpwEzoN5A+60GTwQCAfzP7UDHAdPg3lIY99Apy1FUkI+Ht+TH7X9uBxzdvdGp/1QYWzigU/+pcGjYBv7ndojK+J3djhYdh6Blp+EwsXBE39GLoGNghjuX9onKNGs3CF0GfQbHRrKTmamVCz75Yi3cmneBgYkNHBq1QfehsxEadBklJcVvHHdFN89sh2enIfDqPBwmlo7oN0a4j25L1FXSnUv7oGdojn5jFsHE0hFenYejRcchuOG7RVTGyqEJ+nzyFZq26QdlFVWZy3H16Igew2bD3aunzL+/CwKBAHcu7kD7vtPh1qInTCxdMHDCbygqzMfjKtr+nQvb4dDIG+36ToORuSPa9Z0GO7c2uH1B3PZHzd4Mj3ZDYGzpDFNrNwyYsAyZqXGIjwwWlblydDUcm3REt2Ffw8ymEfSNreHctDM0depmpB8AbpzehpadhqJV52EwsXTEgDELoWtojlsXZe/v25f2Q8/IHAPGLISJpSNadR6Glp2G4LrvVlGZkTNXoG33T2Bh2xAmFg4YOmkpBKWleP7kltSyCvJzsP+frzFk0o+VrtCtbTfPbIdnxyFo2Vl4DPYbLWzXd+TEGVDerkcvgomFI1qWt+vT4nbtd7bs2B9QduwPmArHRm3gd1Z87F87tQm6BuYYOuVXWDk2hb6xJRzd28LQ1AYAkPIqAtHhDzBw/PewcmgCY3N7DBz/HQrzc/HQ/9Rbx12ezzv0n45GZXnto8k1y2sO7t7o2F+Yzzv2nybMaxL53O/cNjTvOBSencT5XMfADAGX9kotKzPtFXx3/YSh01ZASUn2r/MqqhrQ1jUWTbV9N92HnNdkaeWigJtPBAiNBZIygBO3BVBRAtxt5V8FFp8KXHogwJNoAYqrGA8pLQVy8sVTbj394CQQCHDnwg607zcdDT2F+XzQxOXV5vPb53fAoZE32vedBiNzB7TvOw32FfP5nE3waDcEJpbOMCvL5xkV8nmT1gPg0Mgb+sbWMLF0Rs8R36AgLxuJMaG1GuP73l87s285Wncbiw79psLE0hmGpnZwb9lb7jEjL8766p/VdN3evcajY/8psHaUfYVu6IMrUFRSRv+x38HY3B5WDk3Qf+wSPLl7DimvImu8LWRtm4CLO+DdZzpcm/eEsaUL+o0X9lue3JG/bQIubod9Q2+07T0NhmaOaNt7Gmzd2iDg4napcoX5OTi+5Sv0GfMz1BtUvmDr2rHVcGzcEV2GCvstesbWcGpSt/2Wt5V09hrCvl+DhKPnqy/8HzC4lzH2HX+Fm4EZiIzNx+8bo6CmqogubfSrnE9RAVgw3RY7jyQgPrGw0t9vB2Ui4GEWYl8VIPZVAbYdSkB+fincHBvUVSivpUtzNZy9k48Hz4sRn1KKnWfzoKKsgJZu8nPL9tN5uP6gELFJpXiVVoo95/OgoAC4Wov7Jj281JCWVYpd5/IQmVCC1EwBwqJLkJzxftx1EnxzBzw6T4Ode0/om7qg47DlKCnKR/gD+ce7sVUTtOrzFRya9oOSsvztU1SQg6s+X6Hd4KVQ06jbfnlVBAIBgq7tgFeP6XDy6AlDcxf0GC3Ma6GB8uMMurodNi7e8OoxDQamjvDqMQ1WLm0QdFWc1+IjguDQuBvs3TtDx9AKzs16w8a1PV5FC89b6UkRSIgMQpfhP8DUpin0TR3Qefj3KCrIRei9t++XVxf33Us70LZ35XweEiA/7ruXtsPOrXI+v3tJOp8rKilBS9dYNDXQNpD6e6NWA2DX0Bt6xtYwtnBG12ELUZifjcTY2uu3yCIQCHD7wg50KO+vWblgcA36MrcviPsyRhJ9mdsSfRnnJh2Fd6N4Vt0PV1JWldo2Glp6tRUeUb2ZO3cuNm3ahC1btiAkJARz5sxBVFSU6MlJCxcuxLhx40Tlp0+fjsjISMydOxchISHYsmULNm/ejPnz59dZHTl4UoX9+/fD1dUVrq6uGDNmDLZu3Sp6jhoAREREYNiwYRg8eDCCgoIwbdo0LF4sfXv4o0eP0KtXLwwZMgQPHz7E/v37cePGDXz++ec1qsO1a9fQsqX8R3WUy8jIgIGB+KTi7++Pnj2lE2+vXr1w9+5dFBUV1WjdFRUWFmLDhg3Q1dWFh4fwC1dgYCCKioqk1mVhYYHGjRvDz8/vjdbzOtKSYpCdkQRH93aiz5RVVGHn6oXo5/flzhcdHgTHxu2kPnNq3B7R4UEAgOLiQsRFBkstFwAc3dtJLdfGuQVCgy4hM+0VBAIBXobcQkpCBBwbt5cq8/iOL3Kz01FaWopHt0+huLgIdm6t3jLuZDg1rhC3mxeiqor7+QM4NZYe8HBu0k40T3FxIeIigqWWCwBOjdtVuT1rIj8vC2oaWnJ/kHxdcuvapB2insmua/TzIDg1kS7v3KQdYiOCUVL8ZsdFfUlPFrZ9B3dxW1NWUYWtixdiwuXvq5gXQXBo1F7qM0f3DlXOU5AnfOyBhqbwxwhBaSmeP7wCQ1M77Fk9CavmtsWWX4cj9H7dDZgWFxciNuIJnCvuv8beiHwWJHOeyOdBcK7U3tsj5qX8/V1UkI+SkmI00JT+4eXY9p/h6tGp0vJqW1XHoLxjO+p5UKXyzo2l27WsY7/iMp/evwxLO3fs/Ws2ln3eDn8vGYKAKz7iupWdOyTvLlJUVIKSsgoin917g2illefzinnNtpp8HhMeVDlXN26P6OdBwnoXFyI+IhhOsvK5RLsvLS3F4Q1fw7v3pCpvvX/ofwK/fdEGfy3uj7P7fqvySrPX9aHntYr0NAEtDQW8TBD3vUpKgagkwLIWfu/U1wa+GKiImf0UMbitAvTe7olEb0yczyu3/Ziq2v6LIDg0kt73Du7tEVPW9mUpyJXO5xWVFBfi3rX9UNPQhqmV22tEUbX3vb+WnZmC2BcPoKljgE2/jMSK2e2wdfkYRIYFvkGc9dM/e9N1V1RSVAglZRUoKoq/JiqXPbYsMuzNc31GcgxyMpNg11C632Lt7IXYF/LrF/ciSGoeALBv1KHSPOf2LYVj406wa1j5PC0oLUX4oyswMLHD/rWTsPartti+fDjCgur+Qi8SMjNWhaGeCgIfix+lVVQswKPQbDRyrjr5jh5shoysYpy9Vv1V5YoKwsd7qakpIuR5zS5WrEuGugrQ1VLE0wjxxWPFJcDzmGI4WCjVeDmqyoCSEpCbLz4fNnFUQdSrEkzs3wDLpmtjwRgteDepmytuX1dWWgzyspNh6STOR0rKqjCz80Ji1Nt9pwQA/xM/wdq1Eyyd6rZfXp3MlBjkZibBxk0irymrwtLJC/ER8uOMjwiSmgcAbN06SM1j4eCJ6LBbSEsUPqIuKfYp4l4Ewq5hJwDC8zUAKFXolysqqyD+xeudu15XeT63byQjn1fxnTL2RZDUPIDsfJ6WGIm/v2mP9d92xbFNc5CeFC13mSXFhQi6Iey3mFjV7V1I5f01WX2Zqr5LR4cHSfXxAMDRXfxd5XVEhN7Bitne+HNRLxzftgQ5mSmvvQyi982IESOwZs0aLF26FM2aNcO1a9fg6+sLW1tbAMLXQEg+Ccre3h6+vr64cuUKmjVrhp9++glr167F0KFD66yOfOdJFTZv3owxY8YAAHr37o3s7GxcvHgR3bsLnz24fv16uLq6YsWKFQAAV1dXPH78GL/88otoGStWrMCoUaMwe/ZsAICzszPWrl2LTp064Z9//oG6etW3E0dERMDT07PKMgcPHkRAQAD+/Vd8y15CQkKl58OZmpqiuLgYycnJMDc3r9lGAHDy5EmMHDkSubm5MDc3x/nz52FkZCRaj6qqKvT1pa8YMjU1rfQMuqoUFBSgoED6ks+iQlWoqFZ9K312pvDxYRWvGtPUMUSGnEfcAMLn9suaJztDuLzcrDQISkugqSurTLLo/31GLcaJbUuwal4nKCopQ0FBAQM//Rm2LuJ9Nnz6ahxYPwf/m9UGikrKUFFVx8jP/4SBiU2VsVWlvA5aOtK3M2vpGMp9tE/5fJoV5tHUMRItLzcrHaWlJTKXmyUR9+vKzU7DleP/wKvzx2+8jErLLK+rbuW6Zsupa1Z6MpybSO9TLV0jlJYUIyc7DTpyHtPzPipvq5XbsdEbtf2czCSZ5QUCAc77LIO1kydMLF0AADlZKSgsyIXf6Y3oPHg2ug6dj/Dg6zjwz+cYO28HbF3ffGBQnvL9rV2h7tq6hgiTs7+zM5KhXeEY1tYxLNvf6dDRM640z+n9q6CrbwIn97aizx74+yI24gk+/9GnUvnaJq9da+rKb9fZGcmVclV5u87NToO2ngmyM5IrHyu6RlLLTEuKxp3L++Dd61N0GjAVMS8e4dSuX6GsrIrm7QfD2NweekYWOH9gNQZN+AEqahq4eWY7sjOSkZUuu/28DnltWkvXUO4jq4TzJUOr4jwV8nlpaYnM5WY/Fsd/w3cjFJWU0KbHWLnratJ2APSNrKCla4TE2Ge4cHAVEqJDMf6rLXLneR0fel6rSLOsi5RT4XH4OfkC6DZQACD/kVzViU0R4MRtAVKzhOtp10gR47opYOOZUuRVvrC5TpW31YrtuEZ9mYr9FF1DUd+oIoFAgHM+y2HtLM7n5cIeXMbhDfNQVJgHbV1jjJm7BQ20q74a/HW87/21tLIfZq4c+ws9P/4aZjYN8cDvGHb8/ilm/nQChqZ2NYuzHvtnb7ruiuwbtcbpfb/hhu9mtOk5FkUFebhwcDUA4Xv83pT8NmCEzNQqtk1m9f2WJwGn8CrqCcYvPChzGeX9lltnN6LDwNno/NF8vAi+jsP/fo5Rc3bAxqX2+y0kzUBX+LNDWqb0oH5aZhFMDOXfYdDIWRO9Ohpg5pKqryi3s1LHmiXOUFVRRF5+KZaufYmouPp/fpVOA+EgZFau9PkqK1cAA52aP0d/UAd1ZGSX4mmUeBDGSFcRHTxUcSmwAOdu58PWTBnDumiguBi4E1K/F0/kZQnzUcVHb6lrGSInveb5SJYXD08hJe4JBsw48FbLqQ25WcI81EBbOkc10DZCVhV5LTcrWcY80nnNs9sUFORlYeeyPlBUUEKpoARt+86Bq2d/AIC+qQO09S3hd3Ilun68FCqqGrh/ZRtyM5Pkfq+rLeX5vGIM1X0PzclMhmbFeSrEbW7XFP3G/wYDUzvkZKbA7/Q/2PX7SExachIaWuJ+yfNHl3F881wUFeZBS8cYI2ZtQQMt6TtUatvb9Ndkfld5zf3k1KQjGrXsDT1DC6Qlx+Dy0bXYvuJTTP3u0GvdJUv0Ppo5cyZmzpwp82+yngLVqVMn3Lv39hdw1hQHT+QIDQ3FnTt3cPjwYQCAsrIyRowYgS1btogGT0JDQ+Hl5SU1X6tW0p3vwMBAPH/+HLt37xZ9JhAIUFpaipcvX6Jhw4aoSl5eXpUDLFeuXMGnn36KjRs3wt3dXepvCgrSHbLyu2Yqfl6dLl26ICgoCMnJydi4cSM+/vhj3L59GyYm8n+QEQgEr7WeZcuW4ccfpZ8bP2TCdxg26Qepzx76n8CJHeKXzo+evR6AnJiqWb8CKvxdIPy02jISy719YSdiwh/gk1nroGtoiciwAJza+SO0dI3h6C68EubSkTXIz8nEuPlb0UBLH0/vX4DPutmYuHAXTGt4dcQDvxM4vv0H0f/HzPlHZojCfVxN3JVnqhynjOVWKlND+XnZ2LlqOkwsnNBl0GdvtIyqVKyVAIIq972s+IXLeb9fBPbo1nH47hK3/ZFflA+WVjjOIaiuCVSep4p2c2bPUiTGhGH813skygsfB+DSrBta9/gUAGBm0xAx4fcQeHVfnQyeiMjIa1XnGhnbp9KnQldPbsaDW6cwddF20cBteko8Tuxaholfb6x2MLdWVWrY1bRrmfu04oKq3naCUgEs7N3Rc/gcAICFbSMkxj7HnUv70Lz9YCgpq+CTz9fiyJZv8cvMNlBUVIKje1u4NO3wutEBKMvn26vP58LQXzOvofI2kbncsjJxEY9x+/xOTPvhUJXratlJPABsauUCQ1Nb/PvjMMRFBMPCzl3ufK/rQ8lrFbnbKqCPp7jOPteFuUbWEMmbD5sIvZC4viMpA4hNLsWMfopoYqeAO2Fvu/SqPbp1Aqd2itv+J7PWl/2rcp+jun1Yk75MuTN7fkJiTCg+XbCn0t/s3Fpj6ndHkJudhvvXD+DQv7MxcZHPGz/S6L/WXys/r3l2HoHmHYRXrZnbNsKLEH/cv34I3YfNk1m397F/9ibrlmRq6Ywhk5fhzN7fcP7gaigoKqJN97HQ0jGSuhulOsG3j+PMHnEbGP7Zv2X1k52vqiJ7HuFnmanxuODzC0Z8uUXue9fK96+zRze06v4pAMDUuiFiX9zD/Wv7OHhSB7q01ceXn4ofO71k1QvhPyrsbgUoyE3oGuqKWDDNBmu2RiMzu0R2oTIx8QWYuSQUmg2U0N5LD/On2OKrZc/e+QBKSzcVfNJdQ/T/f44K736pFKL8sCvp3lIVnm4q+MMnB8USm0FBofxF8sIYY5IKYW4kHFB514Mn4UEncPPYD6L/9xj3j5ySVfdnqpOdHo9bJ5eh14RNdfqeRXme3j2Oyz7ivDZgalleq5yc3+j7mGSue3bfF6GBx9F77EoYmDkhKTYE148sg5auCRq2+ghKSiroN3EtLuxdjA2LWkFBUQnWLm1h27Dj24QoU/Cd4zgrkc+HzZSdz4UxVLOwivNA+hzl2LiT6N/GloCFQzNs+K4HHt06ilbdxe8BtnFpjQmLjiI3Ow0Pbvrg2KbZGPv1gVp9FOPDWydwUqIvM+rL9bJjEFT+rJJKcQOvc24GgMat+or+bWLlAgu7xljzdTc8e3il2sd9EdHb4eCJHJs3b0ZxcTEsLS1FnwkEAqioqCAtLQ36+voyf7QTVPgCUFpaimnTpmHWrFmV1mFjU/2dB0ZGRkhLS5P5t6tXr2LAgAFYtWqV1PPfAOEL2ive+ZGYmAhlZWUYGr7eCUVTUxNOTk5wcnJCmzZt4OzsjM2bN2PhwoUwMzNDYWGhaJtIrkvey31kWbhwIebOlX75+NHAyqPnrs26wNKhqej/5berZmckS73cNyczpdLoviQtXSNkZ0pfxZuTlSK62reBtj4UFJUqXembkyVeblFhPi4eWoORn/8JF4/OAAAza1ckRD2F39ktcHT3RmpiFO5c3I2ZP50QPQbGzMYNkWGBuHNpDwaMq9mLht2ad4WVozju4rK4syrGnZUKLd1q4q5w1WBOVorois0G2npQlBl31cuVpyAvBztWToGqegN88sWfUFKuvVvJy+ta8Y6YnMxUufteW8+oUvnszBQoKimjwXv+vFCXZl1h6SB+PnlJkbAN5GRKt4HczJRKV69K0tI1Qk6Ftp+blSpznjN7fkLYg0sY99Uu6BiYiT5voKUPRSVlGJk7SpU3MnNE9PO6uU1c3v7OrmJ/a+nK2t+pMvf3tVNbcPnEBkxesBnmNuJBzdiXwcjOTMFf3w0XfVZaWoKI0LvwP78HP28NgqJizR+7UB3RMZhe83Zd8Q4SYXnpdi3z2M9MkfqCoaVnBBML6X1qbO4g9eJ5S3t3fP7TEeTnZqGkuAiaOgZY/+MIWNq//sDB6+Tzqr4Iyd7PKdCUyOcy81qmOPdFhgUiJysFq+d3Ff29tLQEZ/f9hlvntmPO75dkrtvc1h1KSipIfRVZK4MnH1peq+hZrABxKeJ+lFLZ77Ra6tJ3n2iqKyAnv3YHOIpKhIMoBrX7ChuZXJp1gaV95XN6dmbFc3r1bV9Wu6545wFQls+DLmHc19L5vJyqWgMYmNrCwNQWVo7N8PeiXrh/4yDa95X9UvHq/Nf6a9q6wjoZWzhJLcfY3BEZqfFy6/c+9c/Kt8nrrlsWj7b94dG2P7IzkqGipgEFBQX4nd0GfSOr6mcu4+TRFRPtxf2WYok2oKVbsZ1X0W/RkdHOJfotCVHByM1KwbZfh4j+LigtQfTzAARe2Y2v/nok7LcoKsOwQr/F0MwRMXXUb/nQ3bqfgdBw8WOzVFSECV1fVwWpGeK7J/R0lJGWKft9iOYmajAzVsPS2Q6iz8q/evtu8cCkb0JE70ApLhEgruzfzyLy4GrfAIN7GmPttphajas6j8KLEJEgHuFQLusi6jRQQGaO+LylraGArJzqz2PdPFXRs5U6/jqUg7hk6XeZZOYIkJAi/VlCSimaOb/7R3fZNOwKY+vKOT8vOxkNdMTHe352KjS03vzH7ZS4YOTnpOD4umGizwSlJUiIuIuQW3sw/scHtdovr8ihcVeY2Up8HyuLMycrGZoSeS03OwUNtOXntQbaRsjNks5redmpUvPcOP4/eHabCpcW/QAARhauyEqLw90L/6Jhq48AACbWjTHq62MoyMtCSUkRGmgZYP+q4TCxafz2wUpwatoVFnaV83lOpnQ+z81KgWYVcWvq1Px7aDlVtQYwsnBBWmJEpc9VTWyhb2ILS4dm2PBdTzz0O4i2vd+s3yKLq0cXWH0vo79W4Tybm1WDvkwN+2uvQ1vPBHqGFm/1PjKqXg2u8aAPAN95IkNxcTF27NiBlStXIigoSDQ9ePAAtra2ortI3NzcEBAQIDXv3bt3pf7fokULBAcHiwYfJCdV1epvrWvevDmePKn8YvErV66gX79+WL58OaZOnVrp723btsX589IvFzx37hxatmwJFZW361AJBALRI7Y8PT2hoqIita74+Hg8fvz4tQZP1NTUoKOjIzXJuspbTUMLhqa2osnYwglausYIfyJ+v0pxcSEiQgNg7dRc7vqsHZshPFj6nSzhj2/C2rEZAOGzSi1s3aWWCwDhwX6i5ZaUFKO0pAgKCtKHkaKiougKt6LCPACQXaa05i/zU9PQlIrbxMIJWrpGUjEUFxci4mkAbKqK28kDzyvE/fyxn2geZWVVWNi5V942EnHXVH5eNrb/PglKSioY/eW6Wr9qv7yuzx/LiMdZdl2tnZrJKH8TlnbutTqwUxfU1LVgYGIrmozK2v6LJzdFZUqKCxEZFgArR/n7ysqhmdQ8APDiyQ2peQQCAc7sWYrQ++cwdt526BtbS5VXUlaFhV0TpLx6KfV56qsI6Bpaoi4oK6vC0q6RzP1t69xM5jy2Mvb3s0c3YWUvvb+vntqMi8fWY+JXG2DlIP1lw8m9LWb/egyzfj4smqzsG6OZd3/M+vlwrX9BE7XrisdpsJ/cY9vGqZmM41q6XVs7eVQ6riWPfQCwdW6B5IQIqTIpCRHQM7KotE71BtrQ1DFAckIEYl8+hlvzbjWOsZzcfF4hr0VWk8+tHJvhRaWcdRPWTs0ACLepuYy89uKJH6zL2r2H90DMWHoM0388Ipq09UzQrs8kjJ23Se66E2OfoaSkCFoyHgH3Jj60vFZRYTGQli2ekjOB7DwB7M3EF6ooKgI2xkBsLT/iWUkRMNQBsvNqd7myqKlriQYqDCTa/kuJNlpS1vatqmr7Ds3w8knFdn0TVmVtHxDm89O7l+LpvfMYM38b9I1r9uO3QCAQDdK/if9af03PyBLaeiZIiZc+r6W8ioCuYeUcKI7z/emf6RtbvdG6q6KlawQ1dU08un0ayipqoruqa0JNXQv6ZT9s6ZvYwsjcCZo6xogIke63RD8LgKWD/PpZODSTmgcAIkJuiOaxdWuDSUtOYOLio6LJzLYx3FsNwMTFR8vezaUKc7smSH2H/ZYPXV5+KeISC0VTZGw+UtKL0KKxeIRaWUkBTVy18OSZ7HeTRMfnY+qip5ixJFQ03bqfiQch2ZixJBRJKVXfXaGi/O5/6igoApLTS0VTQkopMrJL4WYrvmZVSRFwslLGi7iq76bp1lIVvduoY92RHES9qlz2RVwxTPSlYzTRV0Rq5rt/YbyKmiZ0DG1Fk56JEzS0jBD7XPq8lhARABObN8tHAGDh2BYfzTqGwZ8fFk1Glo3h6NEfgz+v/X55RarqWtAzthVNBmZOaKBjjOhQ6bwW+zwA5nby4zS3a4aoUOm8FvX0htQ8xYX5lS7UVVBQqnSxLgCoaWijgZYB0pMikBj9GA6NX79fXpXXyudVfA+1lJHPXz65UeU5oLioECkJ4dDSrbqvLYBANJhVW9Q0ZPfXXjyRbtcRoVV//7Z2bCY1DwC8kPiu8qZys9OQkRoP7Vr6HkJE8nHwRIaTJ08iLS0NkyZNQuPGjaWmYcOGYfPmzQCAadOm4enTp1iwYAHCwsLg4+MjehZb+YluwYIF8Pf3x2effYagoCA8e/YMx48fxxdffFGjuvTq1Qv+/v4oKRF3mMoHTmbNmoWhQ4ciISEBCQkJSE0Vv0Rv+vTpiIyMxNy5cxESEoItW7Zg8+bNmD9/fo23Q05ODhYtWoRbt24hMjIS9+7dw+TJkxETE4Phw4VXYevq6mLSpEmYN28eLl68iPv372PMmDFo0qSJ6PFmdUlBQQFteozD9ZP/IiTwPF7FhOHo5oVQUVVHk9b9ReUOb1yACwdXiv7fusdYhAffxA3fjUiKf4EbvhvxIsQfbXqMF5Vp2+tT3Lt2EPeuH0JSXDjO7F2GjNR4tOw8EgCgrqEFW1cvnDuwAi+f3kZaUgzu3ziMB37H0LBFDwCAkZkDDExscWLH94h58RCpiVHwO7MF4U/84NbizbePgoIC2vYch2snNuBJWdyHNy2Cipo6mrYRx31wwwKcO7BKHFOPcQh/7IdrpzYiKe4Frp3aiPAn/mjbU3znknev8Qi8egiB1w4hMS4cvnuWISMlHq26jBCVyc1OR3xkCJLingMAkhNeIj4yRPTeg4K8HGxfMQmFBXn4aNLPKMjLRlZ6ErLSk1BaWvUXhdfRrrewrnevHkJibDhO7S6ra1dhXc/6rMKBfxeIyrfqOhLpyXHw3b0cibHhuHv1EAKvHkb7vhNFZYQvnw1BXGQISoqLkJmWiLjIEKkrOgryc0RlAOFLWuMiQ6p8L0NtU1BQQKtu43DT9188vXceibFhOL5V2PYbS7T9Y5u/xqXD4rbv1W0cXjy5Cb/TG5AcHw6/0xvwMsQfrbuL2/6ZPT/i0a3jGDx5JVTVNZGdkYTsjCQUFYov/W7TcxKeBJzGvWs+SE2MRMClXQh7eBmenT+ps5jb9/kUAVcOIqBsf5/YtRzpKfFo3U24v8/sX4X9678RlW/ddQTSkuNxcvdvSIwNR0BZW+nQV3zL99WTm3Hu4FoMm/Iz9I0sRO20IF/4RV5NQxNm1s5Sk4qaBhpo6cHMWv5Lxd9GebsWHYNl7dqrrF2f81mFgxLt2qu8Xe9ZjsS4cAReO4TAa4fRvo+4XXv3HIfnMo59717Sx350+ANcOfEvUl5F4oH/SQRcOYDW3UaJyjy+cwYvQu4gNTEaIfcuYtuKSWjo2Q3OFV5Y/iZk5vNNCyvltcMbF+D8AXGbblOWz6+fEubz66c24sUTf7SVyOfePcvy+TVhPj+9t2ybdhHm8wZa+jC1cpGalJSUoaVrBCNz4RWvqYlRuHLsb8S+fIS05BiEPbgKn3WzYW7TCDbOLd46/nIfcl6T5U6YAN4NFeBs5UIWAAEAAElEQVRiCRjrAgNaKaCoBAiOFP94MKC1Ajo3kR5gMdETTkqKgLaG8N/6WuLldvVQgI0xoKsJWBgAQ7wVoaYCPIx495eXKSgooFX3cbghkc+Pbamcz49uXoCLh8Rtv1X3sQh/chM3T29EcvwL3Dy9sVI+P717KR7dOoGPpvwONRn5vLAgF5cOr0JMeBDSU2IRHxmME9u+RWZaAhq27F2rMb7P/TUFBQV4956E2xd3IvjuGaS8isSlw38gOf4FWnQQX+Fckzjrq39W03VnpSchPjIEKYnC4/9VTBjiI0OQm50uKnPrwm7ERQQjOeElbl/YjVO7fkaP4XOgoalT420ha9t4dRsH/zP/IvT+eSTFhuHUdmEbaNRKXL8TW7/GlSPiNtCy6zi8DLmJW2c3ICUhHLfObkBEiD+8ugnbgJq6FowtXaQmFdUG0NDUg7HEu31a9ZiEkLunEXTdB2mJkQi8vAvPH11G80511295W0qaDaDj4QYdDzcAQAN7K+h4uEHduubvrnyfHD2bhJH9TeHtqQtbS3XMn2KDgsJSXL4lfsrCV1NtMGG4ML6iIgEiY/OlpuzcEuTllyIyNh/FJcJ8PWGYORq7aMLUSBV2Vur4dKgZmjbUwmX/6l8w/y5cvl+Anq3U0dRJGeaGihjbWwNFxQLcfSr+oXdsbw0MbC++0Kx7S1X091bH7nO5SMkohXYDBWg3UICqxDURlwILYW+uhJ6t1GCkp4iWbipo11QV14Le8Yu7ZFBQUIB7u3F4eHUDIoLPI+1VGK4fWgQlFXU4eoiP96sHFuDuWXEuLCkuREpcCFLiQlBSUoSczESkxIUgM0WYr1TUNKFv6iI1KatqQK2BHvRNXSrV413E2azjOASc/xfhD88jJT4M5/cI81r5u0kA4Nyur3HzhDivNes0DlGhN3H3wgakvgrH3QsbEB3mj2adxOc2e/cuCDi/Hi+DryAzJQbhD8/j/pWtcGwi/g3hWdBpxDy7jYzkaIQ/uoAj6ybCoUl32FZ4GX1dxN2yqzCfhwVJ5/OGXuK4T277GlePiuP27FI5n0c+9UfLruK4Lx36DVFhd5CeHI24lw9wdOMsFOZno3Eb4d02hQW5uHp0FWJfBCEjJRYJUcE4vXMxstIS4Nqi9vot8uJu3X0crp/6FyH3ziMxJgxHt1TuyxzZtAAXJPprrbuL+zLJEn2Z1hJ9mcL8HCREhSAhqqwfnhyDhKgQ0btUCvNzcG7/b4h+fh/pyTGIeHobe9fOQANtfbg1r/vf3Yg+dHxslwybN29G9+7doaurW+lvQ4cOxa+//op79+6hRYsWOHjwIObNm4c//vgDbdu2xeLFizFjxgyoqQk7P02bNsXVq1exePFidOjQAQKBAI6OjhgxYkSlZcvSt29fqKio4MKFC+jVqxcA4ctycnNzsWzZMixbtkxUtlOnTrhy5QoAwN7eHr6+vpgzZw7+/vtvWFhYYO3atRg6dKio/JUrV9ClSxe8fPkSdnZ2ldatpKSEp0+fYvv27UhOToahoSG8vLxw/fp1qferrF69GsrKyvj444+Rl5eHbt26Ydu2bVBSqtsrP8q16zMZRYX5OLVrKfJyMmDl0BRj522Gmob4V5KM1DgoKIp/WLFxaoFh01fi0uE/cOnIWhiYWGPY9FWwchTfjtq4VV/kZqfj6vG/kZ2RBBNLZ4ye/S/0jMRXqA2bvgoXD67C4Q1fIS8nA7qGFug6ZLboC7uSsgpGz/kXFw6uxN61M1CYnwsDExt8NGk5XJqKn+f5Jjr0nYziwgKc2LEU+TmZsHJsivHzN0FNQ1Mcd0o8FCWutLRxbo7hM1bi4qE/cOnwn9A3scbHM1bCWiLuJq2FcV85tg5ZGUkwtXTG2LnrpeJ+ev8yjmxeJPq/zz/CZ4F3GfQZun70OeIighHz4iEAYPXXvaTqPXfFBegb185Vfk3bCOt6+dg6ZKUnwdTKGePmrYd+WV2z0pOQkSJ+3IaBsRXGz1+PU7uX49bFPdDRM0G/sYvQ2Ev8jNCstCT8vUT86Icbp7fgxuktsHfzwuRFOwAIH+W0eZm4s+O75zcAQPP2gzFsqviYrGtte09BUVEBzuz5EXk5GbB08MCoOVugpi7Z9uOlrra1dmqBIVNX4crRNbhybC30ja0xZOpqqUeCBV7ZCwDY+bv0i7MHfLoMHu2E28atRQ/0HfMDbp7egHP7foahqT2GzVgLG+eWdRavR5s+yM1Ox8Wj/yArPQlmVs74dP6/ov2dmZ6MdMn9bWKFCfPX4+Tu5fC/INzfA8YuQhOJ/e1/cS9Kiouwe+1sqXV1+2gmegz5vM5iqUr5MShq12XHoKhdZyQhPVW6XY+btx6+e5bj9sU90NYzQb8xi+AuEaeNc3N8PHMlLhz6AxcP/QkDE2uMmCl97Fs5NMGoWWtx/sBqXDm2DvpGVug7+hs08x4gKpOVngTfvb8hJyMFWnpGaN5uEDoPmlFrsbfvOxnFRfk4uXMp8nMyYOkoI5+nxEldiWfjLM7nl4+shb6JNYZXzOet+yI3R5jPs8rz+RzpfF4dJSUVvAjxx63zO1BYkAtdA3M4N+2EzoM+q9UrHT/0vFbRracCqCgBvT0Voa4KxKUA+66WolDiKS86DRSkrsTUVgcm9xLvkzZuCmjjBkQmCrD7cmnZPMCgtopooArkFgjvZNl+oRSZue8sNCnevSejuDAfp3cvLcvnTTF67mapfJ5Zoe0L8/lKXDn6B64cLc/nq2Tm8x0rpB/vOnDCr/BoNwSKikpIjn+Jh36zkJudBg1NPVjYN8GnC3aLHjdaW97n/hoAtO05HsVFBTi7dznycjJgau2KsfO2wMCk+sfsSqrP/llN1h1weT8uH/tb9P/Ny4Tn+o8m/YoWHYQ/TsW8eIhLR/5EYUEujMwdMHD8D2jWbtBrbQdZWvecgqLCApzb+yPyczNgYe+BEbOk+y2ZFfotVo4tMGjSKlw7vgbXjgvb+aApq2Eh8UiwmnBt3gO9Rv2AW2c24ILPzzAwtcdHU9fC2qnu+i1vS9ezMdpe3Cn6f6PfhX3v6B2H8XDSwvqq1hvz8U2EqqoiPh9nBe0GSnj6IhcLV4QjL198p4SxgSpe4+Z8AMJHf3011RYGesrIzSvBy+h8fPt7OO4FZ9dyBG/mQkAhVJUVMKKrBhqoKyAioQR/HcpBgcSNMwbailKPhungoQYVZQVMHqAptSxf/3z4+gufABH1qgQbj+diYAd19GmjhpSMUhy6koe7T+v3ZfHlmnSYjOKiAvgfX4rC/EwYWzVF7wmboKImjiknQ/p4z81KwrG/xf2Vxze24PGNLTCz90LfyTveaf1ryrPbFBQXFeDywR9RkJsBU1sPDJ6xBaoSeS0rTTpOc/sW6D1uFW75rsGt02uha2iN3uNXw0zi0Vidhn6LW75/4MrBH5GbnQJNHRM08R6BVr3E7xDNyUjC9aPLhY/L0jGGm9cgtOop+4XLta11T2Hckvn84y+qz+cDJ63C9eNrcP3EWugZW2PgZOl8npWWgBNb5iI3Ox0NtPRhYd8MY7/2Ed0lqKiohNRXL3B0wxHk5Qj7LWa2TTB63m4YW9TNhW2S2vURflfxlezLzJXRl6nQXxs2bSUuHfkDl4+W9WWmrYKVRH8tLuIxtq8Q98PP7V8OAPDwHozBk5ZDQVEJibFheOB/DPm5WdDWNYadWysMm75aat1EVDcUBLLu+6M39ssvv2D9+vWIjo6utWWuW7cOx44dw9mzZ2ttmYBwEOaXX37BkydP3vpRXjVd3+zZs5Genl6j8ntvfphNU0nxw4z7Nd5B+v9KXsGHGbiWeu3dgfRfUlz633qBd20p+UDjVlb6MPN5WD3cvfE+sLH4MPO50ocZ9gfbX8vJ/zB3uElP1+oL/T+0dtT++q5CvXD2sK/vKtQLa5t38OKv95CW5oeZ1zRq96na/xnqqh/m+XtU+w/z+9jb+lB/l3wbn7T7/9fWeOfJW1q3bh28vLxgaGiImzdvYsWKFfj889q9Wnnq1KlIS0tDVlYWtLVrr0Nz5swZ/Prrr+9k4ERLSwvFxcVQV1ev83UREREREREREREREb0NDp68pWfPnuHnn39GamoqbGxsMG/ePCxcWLPbqK9fv44+ffrI/Xt2tvBWY2VlZSxevLhW6itp3759tb5MeYKCggDgnT3Ki4iIiIiIiIiIiOhN8FlNBHDw5K2tXr0aq1evfqN5W7ZsKRpU+P/OycmpvqtARERERERERERERFQjHDypRxoaGhxUICIiIiIiIiIiIiJ6z3yYb8YiIiIiIiIiIiIiIiKSg4MnREREREREREREREREEjh4QkREREREREREREREJIHvPCEiIiIiIiIiIiIiKlMqqO8a0PuAd54QERERERERERERERFJ4OAJERERERERERERERGRBA6eEBERERERERERERERSeDgCRERERERERERERERkQQOnhAREREREREREREREUlQru8KEBERERERERERERG9LwQChfquAr0HeOcJERERERERERERERGRBA6eEBERERERERERERERSeDgCRERERERERERERERkQQOnhAREREREREREREREUng4AkREREREREREREREZEE5fquABERERERERERERHR+0IgqO8a0PuAd54QERERERERERERERFJ4OAJERERERERERERERGRBA6eEBERERERERERERERSeDgCRERERERERERERERkQQOnhAREREREREREREREUlQru8KEBERERERERERERG9L0oF9V0Deh/wzhMiIiIiIiIiIiIiIiIJHDwhIiIiIiIiIiIiIiKSwMETIiIiIiIiIiIiIiIiCRw8ISIiIiIiIiIiIiIiksDBEyIiIiIiIiIiIiIiIgnK9V0BIiIiIiIiIiIiIqL3hUBQ3zWg9wHvPCEiIiIiIiIiIiIiIpLAO0/ovaWm8mEO8ZaU1ncN6kfpBxq3stKH2c6LSxXquwr1QuHDDBtFxR9m4B/qlUr5+cX1XYV6UVSsVN9VqBdqGh/mCVxZ8cM8wHPz67sG9WPtqP31XYV6MWvPiPquQr1YlrqhvqtQP7o0q+8a1AtTc836rkK90NP5MPstKsof5vcSInpzvPOEiIiIiIiIiIiIiIhIAgdPiIiIiIiIiIiIiIiIJHDwhIiIiIiIiIiIiIiISALfeUJEREREREREREREVOZDfYclSeOdJ0RERERERERERERERBI4eEJERERERERERERERCSBgydEREREREREREREREQSOHhCREREREREREREREQkgYMnREREREREREREREREEpTruwJERERERERERERERO+LUkF914DeB7zzhIiIiIiIiIiIiIiISAIHT4iIiIiIiIiIiIiIiCRw8ISIiIiIiIiIiIiIiEgCB0+IiIiIiIiIiIiIiIgkcPCEiIiIiIiIiIiIiIhIgnJ9V4CIiIiIiIiIiIiI6H0hENR3Deh9wDtPiIiIiIiIiIiIiIiIJHDwhIiIiIiIiIiIiIiISAIHT4iIiIiIiIiIiIiIiCRw8ISIiIiIiIiIiIiIiEgCB0+IiIiIiIiIiIiIiIgkKNd3BYiIiIiIiIiIiIiI3helpfVdA3of8M4TIiIiIiIiIiIiIiIiCRw8ISIiIiIiIiIiIiIiksDBEyIiIiIiIiIiIiIiIgkcPCEiIiIiIiIiIiIiIpLAwRMiIiIiIiIiIiIiIiIJyvVdASIiIiIiIiIiIiKi94VAUN81oPcB7zwhIiIiIiIiIiIiIiKSwMETIiIiIiIiIiIiIiIiCRw8ISIiIiIiIiIiIiIiksDBk/+A0NBQmJmZISsrq76r8sYUFBSgoKAAPT29+q4KEREREREREREREVGV+ML4avj5+aFDhw7o0aMHzpw5Uy91WLx4MT777DNoa2sDEA6mTJ8+HU+ePEFGRgYsLCwwatQofP/991BRURHNd/XqVcydOxfBwcGwsLDA119/jenTp79xPaZNm4YNGzZg9erVmD17tujzgoICzJ8/H3v37kVeXh66deuGdevWwcrKSlQmPj4e+/fvx/fff//G668p/wt7cP3UFmRlJMHE0gn9xyyEvWtLueVfhNzBqT2/ITH2ObT1TNCp3yS07jZS9PdXMc9w/tCfiI0IRnpyHPqN/gbte4+vtJyM1Fc4s38lQh9eQ3FhAYzM7DB08s+wtHevkzgrun1xD677bkF2RhJMLJzQd/RC2FUR98und3B6z29IjBPG3aHvJLTqOlKqTHDAOVw4vBapiVEwMLFBj6FfolHLHqK/l5QU49KRv/DA/ySyM5KhrWeM5u0Ho/PAGVBUrJ2x2YjQANzw3YK4yGBkpSfhky/+RCPP7lXOc/vCbty6uAfpybHQNTRHpwHT0Lzd4LeuS3pKHE7u+AkvQm5DRVUNTdv0R6+RX0FZWVVURiAQ4OaZrbh7xQfpKXHQ1DFEqy4j0WnAtLdef0UCgQBXjv2FwKs+yM/NhKVDU/Qb8x1MLJ2rnO/J3bO4dGQt0pKioG9sg25DZqOhp3i/RoQGwO/MZsRFBCM7IwkjPv8LDVtIb/PLR//E4zu+yExNgJKyCsxt3dFtyGxYOXrUaoz10a4BIDP1Fc76rETYw2soLiqAoZkdPpooPp4vHvkLj277IiNFGL+FXSP0GDYb1rUcf7lbF/bghq84r/WrwXbwlchrHfpNQuuu0nnt4mFxXus76hu0q5DXbl/ci9uX9iE9KRYAYGLphC6DZ8LVo2OdxCiPQCDAtRN/4f61/cjPzYSFvQf6jPoOxtW085DAs7h67A9RO+88eA7cWoj3c+CVPQi8shfpKcL4jC2c0aH/TDg16SQq8/TeOdy7uh/xUY+Rl52OyUuOwsymYd0EWkF9Ht9PAs8h8Mp+xEUGIy87HdN+OALzdxS3LF08lODpoggNVSAmWYCTt0uQlC7/7Y3Gegro2kwJFoYK0NdSwOk7xfAPKZUqo6gAdGmmhKb2itDSALLygKDnJbj6sBT18V5IgUCAGyf/woMbwnZubueBnp98B2OLqvf303tncf34H0hPjoKekQ06DpoD1+Y9ZJb1P/Mvrh5dhZZdx6H7x4tlljmz+zsEXd+PbsMXwqvbp28blpT6yOe/z+uG9OS4Sstu3e0TDBj3HUqKi3Dh0B8Ie3gNqYkxUG+gBcdGbdHz43nQ0TepveAl+F/Yi2tl/VRTSyf0H/NNNf3UAJza8xtexT6Hjp4JOvabiDYS/dQ7lw/g3o1jSIh5DgCwsm+EXsNnw9qxqajM+cN/4eKRdVLL1dI1xLd/Xa/l6KomEAhw+8xfCPbfj/y8TJjZeKDzsO9gaF51O3/+4Cz8ff9ARnIUdI1s4N1vDhybivdzaUkxbp/5E6GBJ5CTlQxNHWM09PoIrXrOhEJZf/T87m8QEnBEarmmth4YMcen9gOtgTGDzdC3syG0NJXwNDwXf++MQWRsfo3m7dRaD4tm2sEvMAM/rn0p+rx/V0P062oEUyNhvzQyNh+7jyXg7sP/1gV4Bu1bwmHeJOi2aAx1CxPcHToTr45frO9qvZWJn9hiYC9zaGsp40lYFlatf4aXUbk1mrdbB2P8+HUjXLuVjEW/BIs+19BQwpTRdujY1gj6uioIe5GNPzaG4+mz92d/922rhnZNVKGhroDI+BLsv5SHhJRSueW9m6igVUNVWBgpAQCiXpXgxM18RCaUSJXT1VLAoA7qcLdThoqyAhLTSrH7XC6iE+Uv+13q2FgRLRwVoK4KxKYAZ+6WIClTfnljHaBTU0WY6ytAT0sBZ++V4E6odG/kiwFK0NNSqDRvQFgpzgS++7gFAgHunP0Lwbd8UJCbCVPbpug09DsYmlWfz2+fWSvK5236zJbK54X52bh9ei1ePL6A3KwUGFs1RIfBi2Fq00RUJjcrGX4nf0dU6E0U5mXBwqElOg75FnrGdnUVrkhdfS+56fsvnt47h5SEF1BWVYeVY3N0GzofhmYOojKF+Tm4dHglQu9fQF5OOnQNLdGq21h4dh5VZ/ESkRDvPKnGli1b8MUXX+DGjRuIiop65+uPiYnB8ePHMWHCBNFnKioqGDduHM6dO4fQ0FCsWbMGGzdulBqYePnyJfr27YsOHTrg/v37WLRoEWbNmoVDhw69UT2OHj2K27dvw8LCotLfZs+ejSNHjmDfvn24ceMGsrOz0b9/f5SUiDs5ZmZm0NXVfaN1v46Ht3xxatdydBk0DV/8dBh2rp7YtmKazC/OAJCaGINtv0+HnasnvvjpMLoMnIoTO3/F44BzojKFhfkwMLFG74/nQlvXSOZy8nIysP6nUVBSUsaE+RswZ/lJ9B31NdQbaNdJnBU9uu0L393L0XnANMxcehi2rp7YsXIa0lPkxJ0Ugx0rp8PW1RMzlx5Gp/5TcWrXrwiWiDvq+X3sXzcXzbwH4vOfjqKZ90DsWzcX0eEPRGWun9qEgMv7MWDst/hy2Sn0GjEfN05vwa0Lu2ottsKCPJjZuKLfmG9rVP7Opb04f3A1ug7+DF/8cgJdB3+Okzt/wtP7l9+qHqWlJdi5ejoKC/MwefEufDxjJYLvnsOZvf+TKue7+1cEXj2IXiO/xpfLfDHmy3WwcmgiZ6lv5+bpTfA/tw19xyzBlCUHoKVrjB2/T0RBXrbceaKf38eB9XPh4T0Q0388Bg/vgTiwfg5iJPZrUUEeTK3d0HfMErnLMTSzQ9/RSzBj6XFMXLgbekaW2LlqEnIyU2stvvpq13k5GdjwyygoKilj/LwNmPXrSfQZKX08G5nZof/Yb/HFL8cwZfEu6BtZYtuKybUaf7mHt4TbodPAafhs6WHYuXhi++9V5LWkGGz/fTrsXDzx2dLD6DRgKk5VyGtFhfnQN7ZGr4/nQktOXtMxMEOvj+di5o8HMPPHA3Bo1Aa713yOVzHPaj3Gqvif2Yjb57ei96jvMHHxQWjpGmH36gkoyJffzmPC7+Pwhjlo0mYQpnx3DE3aDMLhDbMR+0K8n7X1zdB16HxMWnwIkxYfgp1bG/j8/RmSYsXxFRbkwsqpOboOmV+nMcpSn8d3UUEerJ1boPuwebUa05to31gRbRsp4tTtYvx7qhjZeQKM76EM1Sou/1FRAtKyBDgfWIKsXNlDIe0bK6Kli3C5fx4twrnAYrRrrITWDeuna3z73EYEXNyKHiO/w/hvhO18/x9Vt/PYF/dxbNMcNG4zCBO/PYbGbQbh2MbZiHv5oFLZ+IiHCLq+H8aWrnKXFxZ0AXEvH0BLt/YHDeorn8/4/gAW/HFNNH369WYAgLtXbwDCXBgX+QSdB87AzKWHMOqLtUh+FYFda2bW+jYAgAe3TuPkrmXoMmgaZv10CHaunthaTT91a1k/ddZPh9C5rJ/6SGI7vAi5A4+2/TB10VbM/H4PdA3Nsfl/U5CR+kpqWaaWTlj851XRNPvXY3USY1UCL27E/Stb0Wnodxg59yAa6Bjh6D8TUFhFO49/eR+nt8+BW8tBGPX1Mbi1HITT22YjIeKB1HIf+e1Dp6HfYew3vmg34Cvcu7wZD67vlFqWrVsHTFp6QzQNmrqhzmKtysd9TTCktzH+3hmDL34IQ1pGEZZ95QgN9erzj4mhCqaMtMCj0MrbLCm1CFt84vDF92H44vswPHiShR++tIetpXpdhFFnlDQbIPNhKIK/XFrfVakVo4daY8RgK6z69zkmz72HlLRCrF7aFBoaStXOa2qshs8mOiLocXqlv33zhQu8muvjp1VPMe6Luwi4n4Y1PzWFkYFq5QXVg+5equjSQg0+l/KwYnc2MnNK8cVQTaipyJ/H2UoZgaFF+ONANlbuzUZaVik+G6IJXYlBAw01YO4ILZSWAOuO5OLn7Vk4fDUPeQXvIKga8G6ogDZuCjgTWIrN50qQky/A6C5KVfZblJWBtGzg0oNSZOXJ7rdsPleCVUeKRdOuS8LfWkKi6+OSD+DepU0IuroNnYYswcdzDkBT2xjH1k+sOp9H3MfZnXPh6jkQn8w/BlfPgTi7Yw4SIsX5/JLPEkSH+aH7qN/wyVfHYe3SDsfWT0B2uvCcJhAIcGrLZ8hMiUG/ieswYt5haOtb4Nj6iSgqqNmA5Nuoq+8lkWF30LLLaExY6IPRc7aitKQEu1dPQqFETOd8liH88XUMmrwC05f6onWPT3Fm788IDbpQpzF/6AQCTq87/X/EwZMq5OTkwMfHBzNmzED//v2xbdu2SmWOHz8OZ2dnaGhooEuXLti+fTsUFBSQnp4uKuPn54eOHTtCQ0MD1tbWmDVrFnJycmpUBx8fH3h4eEjdxeHg4IAJEybAw8MDtra2GDhwIEaPHo3r18VXj61fvx42NjZYs2YNGjZsiMmTJ2PixIn4/fffX3s7xMbG4vPPP8fu3bul7mwBgIyMDGzevBkrV65E9+7d0bx5c+zatQuPHj3ChQvvPolfP70dLTsNgVfn4TCxdMSAMYuga2iGWxf3ySx/+9I+6BmZY8CYRTCxdIRX5+Hw7DQE13y3iMpYOzRB30++gkfbflBSkd0ZvXpyE/QMzDFs6q+wdmwKfWNLOLm3haGpTZ3EWdHNM9vh2XEIWnYeDhMLR/QbvQi6Bma4IyfugEv7oGdojn6jF8HEwhEtOw9Hi45DcOO0OG6/szvg6O6NTgOmwtjCAZ0GTIVjozbwO7tDVCb6eRDcWnSFa7PO0De2RGOvXnBq3A6xLx/XWmwuTTui+9DZcG/Zs0blg/yOo2XnEWjSui8MTKzRtE0/eHYYiuu+m6TK3bt+GH8s7IcfJ3vgj2/64vbFPVUu9/njm0iKDcewqf+DhW0jOLp7o/fIrxF49QDyy37MTIwLx53L+zDqy7/RsHlX6Btbwdy2IRzdvd8s+CoIBALcOr8DHftPRyPPnjC1csFHk5ajqDAfj26flDvfrfM74NjIGx36TYOxuQM69JsG+4ZtcOv8dlEZ56Yd0W3IbDTylL/Nm7YZAEd3bxiYWMPE0hm9Rn6DgrxsvIoJrbUY66tdXzu1CboG5hg65VdYlR3PjhWOZ4+2/eFUFr+plTP6jBLGnxBde/FLbQeJvNZvjHA73L4kezvcKd8OEnmtRcchuCGR16wcmqDPJ1+haZt+UJaT1xo27wJXj04wMreHkbk9eg6fDVX1BlI/TNY1gUCAOxd3oH3f6XBr0RMmli4YOOE3FBXm43EV7fzOhe1waOSNdn2nwcjcEe36ToOdWxvcviBu5y4eXeHUpBMMzexhaGaPLh/NgapaA8S8CBKVadp2MDoO+Bz2DdvWZZiV1Pfx7eE9CJ0HfgaHRu82blnaNlTCtUclCIkSIDFdgMM3SqCiDDR1kN+FjUsR4FxgCR5HlKJYzsWY1saKeBpdirBYAdJzgCeRAjyPE8DCsPJVnXVNIBAg4OIOePeZDtfmPWFs6YJ+44Xt/Mkd+fs74OJ22Df0Rtve02Bo5oi2vafB1q0NAi5ulypXmJ+D41u+Qp8xP0O9gewLWbLSXuH8vqUYMPF3KCpV8cvWG6qvfK6pYwBtPWPRFBp0BQYmNrB38wIAqDfQxoSvt6BJ6z4wNreHtVMz9B/zLeIiguUO7LyNG6e3oWWnoWjVeVhZP3UhdA3Nq+in7i/rpy6EiaUjWnUehpadhuC671ZRmZEzV6Bt909gYdsQJhYOGDppKQSlpXj+5JbUshSVlKS2hZaOQa3HVxWBQICgazvg1WM6nDx6wtDcBT1GC9t5aKD8dh50dTtsXLzh1WMaDEwd4dVjGqxc2iDoqridx0cEwaFxN9i7d4aOoRWcm/WGjWt7vIqW7o8qKatCU8dYNKlr6tVVuFUa3MsY+46/ws3ADETG5uP3jVFQU1VElzb6Vc6nqAAsmG6LnUcSEJ9YWOnvt4MyEfAwC7GvChD7qgDbDiUgP78Ubo4N6iqUOpF09hrCvl+DhKPn67sqtWL4QEvs8InCNf9kvIzKxS+rn0JNTQk9O1U9UK2oCHw/vyE274lA3Cvpu5JUVRXRydsY67a+wIPgDMTG52PL3kjEv8rHR30rX+xYH7o0V8PZO/l48LwY8Sml2Hk2DyrKCmjpJn9wZ/vpPFx/UIjYpFK8SivFnvN5UFAAXK3FIw89vNSQllWKXefyEJlQgtRMAcKiS5Cc8X7cddLKVRE3gkvxNEaApAzg2K1SqCgDjW3l9y/iU4GLQaUIjhKgpER2mdwCICdfPDlbKiA1S4DIxHf/S6VAIMCDazvQsvt0ODYV5vPuo5ajuDAfYffk5/MH13bA2sUbLbtPg76pA1p2nwYr5zZ4cE2Yz4sL8xH+8By8B8yHpaMX9Ixt0br3F9AxsMJjv70AgPSkCLyKfIBOw76HqU0T6Js4oNOw71FYkIOw+6fqPO66+l4yavZmeLQbAmNLZ5hau2HAhGXITI1DfKT4brPY8CA09R4MO9fW0DOyQouOI2Bq5Yb4iNr77YWIZOPgSRX2798PV1dXuLq6YsyY/2PvrsOjuN63gd8bdyHuTgIkBHcprgWKlBYrUqSFUqylWIVvKbS00NKWIsWLu7sESXCChJCQEBfirivvHxtWkt0QIMLv5f5c116Q2TOz55k5c0bOnDOjsGnTJkgUmtGio6MxdOhQDBo0CMHBwZg8eTIWLFAeBuHhw4fo1asXBg8ejAcPHmD37t24evUqpk2bVqU8XL58GS1aqO/KDwARERE4deoUOneWDzUSFBSEnj2Vb4z06tULt2/fRmlpaZV+GwDEYjFGjx6Nr776Co0aVRx+6s6dOygtLVX6LXt7e/j6+iIwMLDKv1MdhMISJEaHwMuvvdJ0L9/2iH16T+U8sRHB8PJVTl/frz0SokIgElZ9PYXevQgHt0bYvmoGfvy8PVYtHIybF2tnGIAXcXuWi8PTtz1iI9THXT69l297JETL446LuA9PX+Wb/uWX6Vy/OZ49vo60ZOmQAUmxTxATfhf1G3dGXRGVllS4Gaylo4eEZw9lsd2+tAfn9v+O7kO+xPSlx9F96AycP7AK964eUrvcuIhgWDt6KQ3j4eXXQbb+ASAs+CLMrRwRHnwJv83pjt9md8OhjQtRkJdV7XFmpsYjLzsVHo3k21FLWweu3i0Rp2a7A0BcZDA8KpSVDoiLDH7tvAiFJbgTsBu6+sawcfJ57eWUX2Zdlesn9y7CwbURdv41A0untcffiwbj1iX1+7NQWILbF/dAz8AYts7VE7/islWuBz/19VpcRDA8y9eDfsrr4VWJxSI8uH4cJcUFcPZs8lrLeB1ZadJy7t6og2yalrYOXOq3RHyk+nIe/ywY7g07KE3zaNRR7TxisQghN4+jtKQAjh5Nqyfzb+Bt2r/rkrkRYGwgQESi/NxLJAaikyVwsnqzRo7YFDHc7TRgYSL928ZcABdrAZ4m1P5NiOy0eOTnpMK1gXI5d/JqiYRn6rd34rNgpXkAwK1hxwrznNm1GB6+neHaQHVDvkQsxtHNX6FVjwkvHSbsddRlfV4+H/cDj6JZp8EQCNSXn6LCXAgEAugZmLw0tlchFJYgIfqxivPUdoh5GqxynpiIYHiVi9HLrwPiKzlPLS0ugkgkhIGhckNZWnIslnzRGT/P7IEdf81Gekrc6wfzGnLS41GQkwpnH4VyrqUDB8+WSIpWX86TooOV5gGkPUgU57F3b4648OvITJGej6YmPEHisztwbaB8PhofcRPrF7bF1iW9cH7XQhTkpldHaK/E1koHFmbauPNIPrRSqVCCh2F5aOhlWOm8IwfZIjtXiNOXX97LVUMgHd5LV1cDoRFVe2iPqp+9jR4s6+ni5r1M2bRSoQTBj7Lg61N5HTP2IxdkZZfi+NnkCt9pagqgpSlASYlyg0FxiRiNG9b8aA8vY2EqgKmRBp5EC2XThCIgIl4Id/uX97h5QUcL0NQECorkx2Y/D23EPhdhfH8DLJ1ijLmjjNDOr/ob/V+HmSFgrC/As2Tl85aYFAkc3/C8RZGGBuDnKkDws7ppMMrJiEdBbiqcveXHM00tHTh4VF6fJ0cHK80DAM4+HZAcHQwAEIuFkIhF0NTSVUqjqa2LxKg7AACRUNpwrKWQRkNDE5qaOkgqS1NTauu6BACKC6XHCH2FY7mTZzOEB19ATuZzSCQSRD+5joznUUr5IaKawXeeVGLDhg0YNWoUAKB3797Iy8vD+fPn0b27dGzwNWvWwNvbG8uXLwcAeHt749GjR1iyZIlsGcuXL8eIESNk7wjx8vLCqlWr0LlzZ/zzzz/Q06u8G3V0dDSaN2+u8rt27drh7t27KC4uxqRJk7B4sbxrc3JyMmxsbJTS29jYQCgUIi0tDXZ2dlVaBz///DO0tLQwffp0ld8nJydDR0cH5ubKT0rZ2NggObniiZ46xcXFKC5W7mtbWqINbR1dNXNUVJCbBbFYBCMT5SFojEwtkJudpnKe3Ow0GJlaKKc3sYRYJER+XiZMzKo2dEVGahxuXNiFDr3HosuASYh79hBHt/0ELW0dNOswqMoxvA5Z3OWG3jE0tUCemrjzstNgWD5uU2ncBXmZMDazRl52WoVlGplaKi2zU79PUVyQiz++6QeBhiYkYhG6D5kB/7b9qim6V+fp1wF3Lu9Dg+bdYe/SEInRIbh75QBEolJZbJeOrEHvj+bKerOYWzkiNTESty7tRlM12ysvOw1GJsrrTN/QFJpa2rJ1kpkSj+y0RDy6dQpDJi6DRCzGiZ3LsOvvGRg/d3O1xpmXkwoAMCyXJ0MTC2RX8rRsXnaaynnyslNfOQ9hwRexb+1slJYUwtjUCmPmbIShceVPTVZVXZbrzNQ43Ly4C+16jUXn9ych/tlDHP/vJ2hp6SiVjyfBF7Fn9RyUlhTCyNQKY7/aUG3xv6BuPRiZqF8PuVlp8PJTvR5epV4DgOS4cKxd/DGEpcXQ0TPAyC//hLWD56sH8ppelMuKZdbytcp5fo5yOU+JD8OmZR9J49M1wLDP/4aVfe3Fp87bsH+/DYz0pTca8ssNYZFfJIGZ4ZvdhLjySAxdHQG+GKQNiQQQCIDzd0V4GFX7NyLUb29L5GRUsr1zXl7OH986juexj/HJvH1ql3P9zHpoaGihRdcxr5P9l6rL+lxR6J3zKCrIRbMOH6jNa2lJMc7sWYHGbfpDT9+oKuFV2Yv1YFxumxmbWiC8kvVgXG49GJtYlNXnWTAxs6owz8ndK2Bqbg3PRvKeY84ejfHhlKWwsnVFbnYaLhxei38Wj8DMpUdhaGz25sFVQUGutFwaGCvHY2BsidxKynlBbpqKeZTLefNuE1FcmIttS/tAQ6AJsUSEtn1nwrt5f1kalwad4NmkN0zq2SM7PR7XT/yBA39/go/mHFB6d11Nq2cqvfzOzFFu/MrMKYW1hfp8NPQyRK9O9fD5osp7uLo66uH3RV7Q0dZAYZEYi1dFITbxLRnP6B1Uz1y6TTOylHsKZWaVwMZa/X0AvwYm6N/DDuO+vK3y+8JCER6GZmPsRy6Iji9AZlYJuneyRsP6xohPLKy+AF6TiYH0Gd3yQ2fmFkhQz6Tqx++BHfWQnSfGk1h5I4ylqQY6+uvgwp1inLlRBBdbLQztog+hELgZ+noPCVUXI33pv3nlXl+UXwSYVt42+kp8HATQ0wbuR9XN+DgFZfWvfrm6Wd/YArmZldfn+kbl5jGS1+c6ekawdW2CW2dXw9zGHQbGlnh69ziexz6AmaULAMDcxh3G5vYIOr4C7w37Ado6+ggO2IyC3NQK5/nVraavS16QSCQ4u2cpnDybw9qhvmx6r48X4tjWRVj1dSdoaGpBIBCg35gf4exV+cPWRPTm2HiiRlhYGG7evIkDBw4AALS0tDB8+HBs3LhR1ngSFhaGli1bKs3XqlUrpb/v3LmDiIgIbN++XTZNIpFALBYjKioKDRpU/gLWwsJCtQ0su3fvRm5uLu7fv4+vvvoKv/76K77++mvZ9+WfqnvRa6ayp+3K5/2PP/7A3bt3qzyP4m+9yjxLly7FDz/8oDTtw0+/xfCJ36mZoxLlf/YleRGUm0FS9qrY8tMrIxFL4ODWCL0+nAkAsHdtiOfxEbh+fleNN57IqIgbrxK3rFeVQClV+TSK6/LhjRMIDjqKYVOWw9rBC0mxoTixfSmMza1rL+5y3hvwGfKy07Dufx8BEgkMTSzQtMMgXD2xAQINTeTnZCA7IwmHNi7E4U3fyuYTi4TQLXunxdbfJiEmXPrkiqmFHab/JO2Gq7IcKZyzSiRiCIUlGDJpGSxt3QAAH4z/H/75fihSk6JgZef22nE9CDqKo1vl+8PIGWvU5+kl+16Fsi2RTn1Vbg1aY8r3B1GQl4m7AXux958Z+HThngqNTG+kDsq1RCyBvVsj9BxWtj+7NERKQgRuXtil1Hji3qA1pv7vAApyM3ErYC92/T0TU77bXb3xq8xxWT1V2Xoo/53k1es1ALC0c8W0Hw+gMD8XIbfPYN+6eZg4f2uNNaA8vH4EJ/6Tl/OPvlhb9j8V9fRLQ1FVFpSnWdi6YeK3h1BUkIMnd8/gyMa5GP3Vf7XegPI27t91obGbBt5vK38idft56c0SVbcG3vR2ga+rBvzdNbDvsggpWRLY1ROgT0tN6YvjI2u2ASXkxhGc2iHf3sOmSsu5uv22MqrnkU7LyUjCuT1LMPzLjdDSVv0wSnLMI9y+sBVj5x945XO9V1YH9bmiO5f3w6txR7UvghcJS7Hnn9mQSMR4/5NvVaapFirOzytf9+rOUysKOLYB968fx6T5W5QeQPL27yT7v61Tfbh4NsEvc3rh7tVD6Nhn7KtGUCVPbh/BxT3ycv7+pLJyXqGOer36XHGdPb13AmF3jqD36N9Qz9YTqQmhuHJwKYxMrdGglbSxrH6zvrL0Fnb1YePki02LuyI65BI8/as2NOzr6NLWHF+OlQ+/vGjFs7IglNMJIFBbsenraWDuZGf8vikOOXlqxvQpE59UjM8XhcHQQBMdWpphzkQXfLX0KRtQakmPztb4aqr8ZufXix9K/1N+2woq2d76mlg02we//BWO7Byh6kQA/rfiCeZ96Y3DW9pCKJIgPDIXZwNSUN+jeht+q6KFjzY+7q4v+/ufQ9LeThVCVB92Bd1b6KC5jzb+2JMPoUKxFwhevEheWqbjU0tgZyltUKntxhNfFwH6tZQP5rIzoCyjKoKszmaOJh4CRCRJkFdL7WRhd47i0l55fd7/UzXnqZKXX2uoOt4pTusx4hec3zUfm3/oDIGGJqwcGqJ+0/5ITXgMANDU1EafsatwYfdC/LuwNQQamnDyagsXn04Vlvumavu65IVTOxYjJT4cn3ytPKz4zfPbkPAsGB9O+wemFvaIDb+NU9t/gJGpNdwbVv8w4UQkx8YTNTZs2AChUAgHBwfZNIlEAm1tbWRmZsLc3FzlxY6k3IWuWCzG5MmTVfbccHZ++fswLC0tkZmZqfI7JycnAEDDhg0hEokwadIkzJ49G5qamrC1ta3Q8yMlJQVaWlqwsKjajb0rV64gJSVFKZ8ikQizZ8/G77//jujoaNja2qKkpES2ThR/q127qlfg8+bNw6xZs5SmnXzwat1vDYzNoKGhWeGJw7ycDLU3M41NLSv0SsnPSYeGphYMjMyq/NvGZpawdvBQmmZt746Q22fUzFF9ZHFnlY9DfdyqnswsH7c0TWqFNIpPTZza/Ss69fsUjdtIe5rYOtVHVloiLh9bV2eNJ9o6evhgwhIM+OR75OWkw9jMCrcv7YGuniEMjMxRkCsd6mDg2MVw9GisNK+GhvSm3aDx/0NpifSRIU1NaTVpZGqJuGcPlNIX5mdDJCqVPflqZGYFDU0tWcMJAFjZS8tFdnriGzWeeDfpAgd3eX5fdFnOy06DsUJPgvyc9Epv3huZWiIvp9y2z01X+9LwyujoGsDCxgUWNi5w8miCVd/0wr0r+9Cx3+RXXlZ5dVmujcwsYW2vvD9b2bkrvagYKBe/ZxOs/LoX7gTsR+f3J71SrJV5sR4q1lOV1GtmFeu1vNeo1wDpkCoWNtInvRzdfZHw7CECz2zDoHE/vGTO11O/SVc4uPvL/haVSst5fo5yOS/ISYehifoya2Rqifxy5bwgN6PCPJpaOqhnLY3P3tUPidEPcfP8VvQbXbsvqX0b9++68CROjPg0ecOFpqb0HMtIX4A8hd4nhnrKf7+OXi00ceWh9L0oAJCSJYGZEdDRT7PGG088/btivJu8nAsVtrfiy9rzc19Szk1U1HkK5Tw5NgQFuenY/NNg2fcSsQhxEbdw59J2fPXXQ8RF3EZ+bjpWz++ilObCvp9x6/xWfP7ThTcLFnVbn7+QmZaAyJAgjJi+SuXviYSl2PX3TGSmxmP8N5uqvdcJoL4+r+w81UjFeWpeTobK+vzy8Y24eHQdPp27AXbO3pXmRUfPALaO9ZGWHPPqgVSRu29X2Loo1Odl5Tw/Nw2GCuW8IC8dBsbqy7mBsSUKcpXXQWFehtI8V4/8gubdJqF+M+n5qKW9N3IzE3H73FpZ40l5hqbWMDa3R1Zq9CvH9iqu38tGWKR82CxtbemNVnNTbWRky2+Mm5loIVPNjXI7a13YWuli8Qx32bQXl6AnNvpjwjehsnegCEUSJJb9/2l0IbzdDDCopxVWbY6v1rhItas30/E4XN5bRKdse9cz10F6prz3ibmpdoXeKC842OrB3kYfyxb5yqZplG3vS4c6YcSUm0hMLkJichG+mHcferoaMDTQQnpmCX74ugGSyr0fpTY8jCxFdLK8hUOr7DkIEwMBcvLlx2tjfQFy819+/O7WXAc9W+nhr/35SExTPibn5EuQnK48LTldjCZetT90V3iCBAnpCnGXtaMY6Sv3PjHUk/Y+qQ6mBoCbjQB7r9ZeT1m3Rl1g46xwniqSlt2CnDQYmsjr88K89Aq9URSprs+VjwGmls4YPO0/lBYXoKQ4D4Ym1ji1dSZM6skboa2dfPHRnEMoLsyFWFQKfaN62Pv7h7B28kV1qu3rEgA4teN/CL9/AWO++g8m9Wxl00tLinDx4EoM+/wveDV+DwBg4+iD53GhuH5mAxtPiGoYG09UEAqF2Lp1K3777bcK7w0ZMmQItm/fjmnTpsHHxwcnTpxQ+v72beWutc2aNUNISAg8PV/vKdamTZvi8ePHL00nkUhQWloqa7xp27Ytjh49qpTmzJkzaNGiRYWXvqszevRoWS+bF3r16oXRo0dj3LhxAIDmzZtDW1sbZ8+exYcffggASEpKwqNHj/DLL79U6XcAQFdXF7q6yk9Fauu82gmBlpYO7F0b4emjQDRq0UM2PeJRIBo066pyHmfPJnhy75LStKcPr8HBrRE0tap+AuZSvxnSkqKVpqUlR8PMouZf2Pci7oiQQDRUjDskEA2aVhJ38CWlaRGPrsHBVR63k6c/IkMC0b73WIU0gXD2lL8PoLS4EAKB8quTNDQ0IRHX/Qv7NLW0YVp2wvHwxgnUb/IeNDQ0YGRqCRNzG2SkxsG/3fsq5zUxt6kwzcmzCQKOrkVuVorsZCni0TXZ+gcAF69mEIuEyEiJRT1raaNjWnI0AMDM8s3Kgq6+EXQVbuZIJBIYmVoh8nEg7FwaApDegIsOu4Uew2arXY6TRxNEhgSibc+xsmmRj67ByaPJG+UPkD51IyxVfSH4quqyXLt4NZNttxfSk6Nfug0lEvlN0OoiWw+vUK85qajXyq+H1yUBqm0bq6KrZwRdvYrl/Nnja7B1lpZzkbAEMeG30HXIHLXLcXRvgmePr6F1j7Gyac8eX335+0wkEtmFUW36v7B/14YSIZCRqzhFgtwCCTztBEjOkJ7faGoArrYCnL3zZscZbc2KT4GKxbXTR0dVOTc0sUJ0qHI5j3t6C+99oL6c27s3QXToNbTqPlY2LTr0KhzcpeXcxacNJixSPhc8vnUeLGzd0abnRGhoaMK39UC4+ihfcO9eNQG+bQbCr+1gVIe6rM9fuHvlIAxN6qG+f8V3sr1oOEl/HoMJ32yBgVH1Dr/4gpaWDhxcGyLiUSB8W8jPryMeBaKhmvrcxbMJQu9dVJr29OE1OJY7Tw04vgEXDq/FhK/Xw9H95TePhKUlSEl8Bldv1UMDVwcdPSPolCvnBiZWiAu7BmtHeTlPiLiF9u+rL+d2rk0QG3YNTd8bK5sW++Qq7Fzl21lYUlThgTaBQLPCQ22KCvMzkZeVpHTjryYUFolRWKR8XEnPKkUzX2NExkofG9fSFMDP2wgb9qge9iUuqQiT5j9RmjZ2iB309TTwz/YEpKZX/rS9thZfc1pbCgtFSChU7h2UllGMlk3M8fRZHgBAS0uAJr5mWLPlmcplxMYXYPTUW0rTJo52g4G+Jv5YF4GUNOVeREXFYhQVl8DYUAutmtbDP5tVL7cmFZcCxVnKx+XsPDF8XLQQnyot/5oagKejFg5fqbwVoVsLHfRurYe/D+Qj9nnFnlbPEoWwNlcu09bmGsjIqf3rzxIhUJKnPC23UAI3WwGSM6X1j4YG4GItwPng6smfv7sG8ouBp4nV2Zelcirrc2MrxIUHwkqxPo+8hXb91Z+n2ro2QVxYIJp0HiubFht2DbauTSqk1dY1gLauAYoKshH75CraqThO6OpLR43ISo1GStwjtO6jeqj511Wb1yUSiQSnd/4PYffOYvScbTC3clJahlgkhFhUWvFYp1H5sY7enJirl8AXxqt07NgxZGZmYsKECfD19VX6DB06FBs2bAAATJ48GU+ePMHcuXMRHh6OPXv2YPPmzQDkXQ/nzp2LoKAgTJ06FcHBwXj69CmOHDmCL774okp56dWrF4KCgiASyU8ctm/fjj179iA0NBTPnj3D3r17MW/ePAwfPhxaWtL2sClTpiAmJgazZs1CaGgoNm7ciA0bNmDOHPWVenkWFhYV4tfW1oatrS28vaVPtJmammLChAmYPXs2zp8/j3v37mHUqFHw8/Or0PBSGzr2+QS3L+3H7YD9SEmIxLH/liIrPQmtuw0HAJzavQJ71syVpW/d9SNkpiXi2PZlSEmIxO2A/bgdcACd+o6XpREKS5AYE4rEmFCIhKXIyUxBYkwo0p7Ln9Zr3/sTxEbex8Uja5H2PAbBgcdw8+JetOk+olbibt/7E9wJ2I87l/cjJTESJ7YvRXZ6Elp2lcZ9Zs8K7Fsrj7tl14+QlZaIEzuWISUxEncu78edywfQoY887nY9xyDiUSAuH1+P1MRnuHx8PSIfB6FdL/mY6D5NuyDg6FqEBV9CZmoCHt8+i2unN6Nh8+rb9sVF+UiKCUVSTCgA6YvakmJCkVU2ruiZvSuwb508trTkKAQHHkF6cjTinz3A7tWz8Dz+KXoMmSlL02XQVFw5vh5BZ7YiLTkKyXHhuHvlAK6d2qw2H56+7WHl4IF96+YiMeYxIh8H4dTu5WjeeZjsCVX3hm1h79IQBzcsQGLMYyREh+DI5u/g0aidUm+U6iAQCNCmxxhcObYWoXfO4nl8OA5tmAdtHT34tZaP8X1g/Vyc2/eb7O/WPUYjMuQarp5Yj9SkZ7h6Yj2ehQahTY9PZGmKi/KRFBuKpFiFdR4rX+clxQU4t38F4iKDkZWWgMSYEBzetBA5Gclo1LJ3tcVYV+W6Xa9PEBd5H5eOrkX68xjcDzqGW5f2onW3EbL4z+xdibiIYGSmJSAxOgQHNyxETmYyfFv2qrb4y6+HF/Xa8bL10KpsPZzeswJ7FdZDqxfrQaFeuxNwAB2qUK+lK9RrZ/auRHTYbWSmJiA5Lhxn9v6OqNCbaNJOXr5qmkAgQKtuY3DtxFo8uXsWKQnhOLJJWs59Fcr54Q1f48IBeTlv2W0Mnj2+hsCT65CWFInAk+sQFRqE1t3l5fzCgRWIDb+NrLR4pMSH4eLBlYgJuwnfNvJG1cL8LCTHhiItKRIAkP48CsmxoTX+DpG63L8BoCAvC0mxoUhNLIs7OQpJsaHIrYN3pwSFitCxsSYaOAtgbSbAB+01USoEHii8JHVwB010byYf7ktTA7A1F8DWXABNDelL523NBahnLF9uWLwYnfw0Ud9BADNDoIGzAO0aaSI0tvZvvggEArTsNgZBp9Yi7N5ZpCaE4/gW6fZu2Eq+vY9u+hqXDsq3d4uuYxAVeg3XT69DenIkrp9eh+jQILTsJt3eunpGsHKor/TR1jGAvqEZrMrG0NY3Mq+QRkNTG4YmlrCwdUd1qav6HJD2Ar975QCadhgk6036gkgkxM6/ZiAhOgTDpiyHWCxCblYqcrNSq70xHAA69BmLW5f24VZZfX70v2UVzlN3r/lGlr511+HITEvCse0/IyUhErfKjgUd+46TpQk4tgFn9q3C0Ik/wtzSXpb/4iJ5b4fjO37Bs9BbyEiJR2zEffy3agaKC/PQvOPAao9RHYFAgCadxuDW2bWIfHAW6UnhOLtDWs4V301y5r+vce2ovJw36TwGsWHXcPvcOmQ8j8Ttc+sQFx6EJp3l9Zpboy64dXYNokIuISc9HpEPzuLepU3w8JOej5YU5+PK4Z+RFHUPOenxiH96A0fXfwY9Q3N4NK7965VDp1PxUX8btGtuChcHPcyZ6IziEjEuXpePNvDVJGeMGyZ9R2VpqQQxCUVKn7wCEQqLxIhJKIJQJL2zM26oHXzrG8LGUgeujnoYO8QWjRsY4WLQy18w/zbRNDSAib8PTPx9AAAGbo4w8feBnlPV3tn5ttl7JAGjhzmjUxsLuDkbYMEMbxQXi3AmIEWWZuFMb0weI71WKCmVICq2QOmTly9EQaEIUbEFEAql27tVU3O0bmYOOxs9tGhijlU/+SMuoQDHz1X9vaM16eK9YvRspYfGnlqws9DA6N76KBVKcPuJvG4d3VsfAzrIH6Ds3kIH/dvpYfuZAqRni2FsIICxgQA6Cs/+XLhTAjc7TfRspQtLMw208NFG+8Y6uBxc+w+/qHIzTIwODTXg7SiAlSkwsLUGSoXAoxj5HdiBbTTQ1V9+K05DA7Axk340NaQ9dGzMAHMVnSD93QV4ECWpysieNUYgEMC/0xjcPievz8/tnActHT3Ubyavz8/umIvAY/L63L/jaMSGX8Od8+uR+fwZ7pxfj/jwIPh3ktfnMU+uICb0CnLS4xEbdg2HVn8Cc2s3NGglf6AjIvgU4iNuIDs9Ds8encfhNePh5tsNzt41++L0mrwuObXjBzy8fgSDPv0NOnqGyMtORV52qmw0DF19IzjXb4Xz+5YjOuwGMlPjcP/aATwMOgSfprV/HCN617DniQobNmxA9+7dYWpqWuG7IUOG4KeffsLdu3fRrFkz7Nu3D7Nnz8Yff/yBtm3bYsGCBfjss89kvSgaN26MgIAALFiwAB07doREIoGHhweGDx9epbz07dsX2traOHfuHHr1kt6U09LSws8//4zw8HBIJBK4uLhg6tSpmDlTfnPYzc0NJ06cwMyZM/H333/D3t4eq1atwpAhQ2RpLl26hC5duiAqKgqurq6vvb5WrlwJLS0tfPjhhygsLES3bt2wefNmaGpqvnzmata4TV/k52Xh/KHVyM1KhY2jF8bOWQNzS+nwa7lZqchKT5Klr2ftiLFz1uD49mW4fm4HTMys8f7o+fBtKe9xlJuZij8Xyg/WV05sxJUTG+Hm0xKTFmwFADi5+2HUl6twes9KXDi0GuZWjug/6hs0ba+6Z0N182vdFwV5Wbh4uCxuBy+MnqUQd3YqsjIU4rZyxJjZa3BixzLcOL8DxmbW6DdqPhopxO3s1RQffv4bzu3/A+f3/4l61k4Y/vlvcPKQd13tP2ohzh34A0e2LkZ+TgaMzazR8r0P0WXQ59UWW2JUCDb+LD+xOLnzZwBA0/aDMHjiUuRlpSJbYZuKxWJcO7UZ6clR0NDUgptPa0xcuBPmVvIh+Fp0HgZtHX1cPbkRp/f8Ch1dA9g4eqFtT/Uvy9XQ0MTomWtwdOti/LtkJLS0ddG4TX/0/uhrhTQaGDnjHxz/70dsWDoaOjoG8GrcUSlNdWrf51OUlhTh+H+LUZifDUf3xhg9e4PSE+zZGYkQaMifUHH2bIahU37DhQN/4MLBVahn7YShU1bAUWG7JkY/wpZf5Ov89K5lAAD/9oPwwYRlEGhoIi0pCvevTUdBXib0Dc3g4OaH8fO2w9rBq9riq6ty7ejuhxHTV+Hs3pW4dHg1zC0d0XfkN2hS1lNJINBEWtIz7Lh6CAV5mTAwksb/6fz/YONYffG/0LhNufXg6IUxs5XrNcV9oJ6VIz55Ua+dl9Zr/VTUa38vktdrV09uxNWT0nrt0/nSei0vOw17185FblYq9PSNYetUH2O/WgdP3/bVHmNl2vaeiNLSYpza8QMK87Ph4O6PETM3Kj0Jlp2RpNQLzsmzGQZPWoFLh37HpcOrYG7lhMGTVip1vc/PScPhjV8jLzsFuvrGsHb0xscz/oV7Q3l84cEXcHTzPNnfB9dJj7Md35+GzgOq9hDE66qr/RsAwoIv4PDG+bI0+9ZIh9XsPGAqugyq2bjLu/pIDG1NAfq31oKeLpCQKsHWs0KUKIxuY2ooUHrqzlgf+HyA/E5LB19NdPDVRFSyGJtOS2c8fkOEbk2B/m20YKgH5BYCt8PFuHS/8vcJ1JTWPSdKX1a+8wcUFWTD3s0fw6crl/OccuXc0aMZBk5YgctHfsflI9JyPnDiStgrDAn2tqir+hwAIkOCkJ2ehOadKvakycl4jif3pEOT/b1IeXin8d9sgXuDVhXmeRP+bfqgIC8L5w/9g9ysVNg6emHsnLWy9ZCTlVbhPHXcnDU4tn0ZghTOU/0U1kPQ+Z0QCUuxfdUMpd/q9sHn6DF4GgAgO+M5dq6eg4LcTBia1IOThz8+/36n7HdrS/NuEyEsLcbFfT+guCAbNi7+GPTZRqUnmnMzlcu5nVsz9B6zAtdP/I7rJ1fB1MIJvT9ZCVtX+XbuPGQhrp/4A5f2/YCCvHQYmljDr91wtOo1FQCgIdBEemI4ntySDvNiaGIFR8/W6PPJSqXfri17TqRAR0cD08Y4wthAE0+eFWDe8kgUFskbb63q6eBVO3KbmWjhq0kuqGemJb3RHleEhb9G4m5I3stnfouYNvdF2/PbZH83/FV6PIrbegAPJsxTN9tba/v+OOjqaGDWZ14wNtLG4/AczPz2AQoVeqjYWOm98tPNRoZamDzGDVaWusjJLUVAYBrWbYuCSPR2PCZ97lYJdLQEGN5VHwZ6AkQni/DX/nwUK3SUqmesodQI0NFfF9paAnz6vvLb1U8EFeFEkLTHTexzEdYfKcCAjnro00YX6dli7L9UiNtP6vZl8S8EhkqgpSlBnxYa0NcBEtKB7ZdESuctJgYVz1sm9ZHfmmvXQIB2DTQQ/VyCbRfk5cTdVgAzQwGCn9XNuYqiZl0/hbC0CAH7F6O4MBs2zo0xcPKGcvV5olJPCTu3Zug1+jdcP/kHbpyS1ue9xqxQGuKxpCgPQcdXIC8rGXoGZvBo3ANt+s6Epqb8vC4/JwVXjyxDQW46DE2s4N1iIFr2+KxW4q6p65I7l3YCALb9Olrp994fuxT+7aXnL4MnrcCFAytw+N85KMzPhqmFPd4bNBPNOn9ckyETEQCBhH28qtWSJUuwZs0axMXFVdsyV69ejcOHD+P06dPVtkwA2Lx5M5YsWYLHjx9XeSivN/29GTNmICsrq0rpD9ys+6Gf6oLo3Qy7Tp+eqUsi8f+NFzlXNy3Nd3OD1/T7mN9WhcXvZkfXd7Wch0a8HTcwapubs05dZ6FOGOm/mycuWhrv5v6dmF77D0e9DY7sCq7rLNSJ6Tuq9sDf/2+W9l5X11moE026NKnrLNQJGzvDlyf6/5CZybtZn5sZv5sXZKM71XUO/m/6+2Rd5+D/nql96joH1Y89T97Q6tWr0bJlS1hYWODatWtYvnw5pk2bVq2/MWnSJGRmZiI3NxfGxsYvn6GKTp06hZ9++qlWGk6MjIwgFAqhp6dX479FRERERERERERERPQm2Hjyhp4+fYoff/wRGRkZcHZ2xuzZszFvXtW6E1+5cgV9+qhvksvLe/FSOS0sWLCgWvKraNeuXdW+THWCg4MBoE6G8iIiIiIiIiIiIiIiehVsPHlDK1euxMqVK19r3hYtWsgaFf5/5+npWddZICIiIiIiIiIiInopvunidfz/NzQeG0/qkL6+PhsViIiIiIiIiIiIiIjeMu/mG1yJiIiIiIiIiIiIiIjUYOMJERERERERERERERGRAjaeEBERERERERERERERKWDjCRERERERERERERERkQK+MJ6IiIiIiIiIiIiIqIxEUtc5oLcBe54QEREREREREREREREpYOMJERERERERERERERGRAjaeEBERERERERERERERKWDjCRERERERERERERERkQI2nhARERERERERERERESnQqusMEBERERERERERERG9LcTius4BvQ3Y84SIiIiIiIiIiIiIiEgBG0+IiIiIiIiIiIiIiIgUsPGEiIiIiIiIiIiIiIhIARtPiIiIiIiIiIiIiIiIFLDxhIiIiIiIiIiIiIiISIFWXWeAiIiIiIiIiIiIiOhtIZHUdQ7obcCeJ0RERERERERERERERArYeEJERERERERERERERKSAjSdEREREREREREREREQK2HhCRERERERERERERESkgI0nRERERERERERERERECth4QkREREREREREREREpECrrjNARERERERERERERPS2EEvqOgf0NmDPEyIiIiIiIiIiIiIiIgVsPCEiIiIiIiIiIiIiIlLAxhMiIiIiIiIiIiIiIiIFbDwhIiIiIiIiIiIiIiJSwMYTIiIiIiIiIiIiIiIiBVp1nQEidUqEgrrOQp2QSOo6B3VD8G5ubuhpi+s6C3WiVPRubnDhOxt3XeegbhjqvZsV+tB2WXWdhToRn2te11moE3nFmnWdhTqRX/xuPoOmr1vXOagbXv5udZ2FOrE0Y11dZ6FOzDs1qa6zUCfujgip6yzUCTOTd/M4pq/3bl6XaGq8m+fnwLu5vd/Uu3p/jpS9m2f9REREREREREREREREarDxhIiIiIiIiIiIiIiISAEbT4iIiIiIiIiIiIiIiBSw8YSIiIiIiIiIiIiIiEgBG0+IiIiIiIiIiIiIiIgUaNV1BoiIiIiIiIiIiIiI3hYSsaSus/B/kKCuM1Dt2POEiIiIiIiIiIiIiIhIARtPiIiIiIiIiIiIiIiIFLDxhIiIiIiIiIiIiIiISAEbT4iIiIiIiIiIiIiIiBSw8YSIiIiIiIiIiIiIiEiBVl1ngIiIiIiIiIiIiIjobSGW1HUO6G3AnidEREREREREREREREQK2HhCRERERERERERERESkgI0nRERERERERERERERECth4QkREREREREREREREpICNJ0RERERERERERERERAq06joDRERERERERERERERvC4mkrnNAbwP2PCEiIiIiIiIiIiIiIlLAxhMiIiIiIiIiIiIiIiIFbDwhIiIiIiIiIiIiIiJSwMYTIiIiIiIiIiIiIiIiBWw8ISIiIiIiIiIiIiIiUqBV1xkgIiIiIiIiIiIiInpbiMWSus4CvQXY84SIiIiIiIiIiIiIiEgBG0+IiIiIiIiIiIiIiIgUsPGEiIiIiIiIiIiIiIhIARtPiIiIiIiIiIiIiIiIFLDxhIiIiIiIiIiIiIiISIFWXWeAiIiIiIiIiIiIiOhtIZHUdQ7obcCeJ0RERERERERERERERArYePJ/QFhYGGxtbZGbm1vXWXltAoEAAoEAZmZmdZ0VIiIiIiIiIiIiIqJKcdiulwgMDETHjh3Ro0cPnDp1qk7ysGDBAkydOhXGxsYVvouIiEDTpk2hqamJrKwspe8CAgIwa9YshISEwN7eHl9//TWmTJnySr89duxYbNmyRWla69atcf36ddnfxcXFmDNnDnbu3InCwkJ069YNq1evhqOjoyxNUlISdu/eje++++6Vfv91SSQSXDr8F+4E7EFhfg4c3Ruj3+hvYe3gVel8j2+fxoWDq5CREot61s7oNngGGjTvoZTm5oUduHZyA/KyUmHl4Ik+I+bDpX4L2fffjfNRueweH36FDn0mvHlwZRRjLCrIgYN7Y/QbVfUYM1NjYW6lPsbAUxuQm5UKawdP9P5YOca87DSc3fcrIh9dQ1FhLlzqt0DfkQthYeMqS5OREoszu39B7NM7EApL4OnbEX1HLoSRqWW1xV3b2/bgv98g+NohpXkc3f0xcdFu2d9HNn+LZ4+DkJuVAh1dAzh5NkWPD+fAys79jeIuL+jcTlw+vhG52amwcfBE/1HfwM27hdr0z0Jv4fiOn/E8IQImZtbo1G882nT7SPb9zYt7cffqYSTHR0jjcmuIXsNmwMmjsSzN9XO7cP3CLmSmJgAAbBw90W3QZ/D271StsSmSSCS4eOhv3FbY3v3HLILNS7Z3yK0zOK+wvbsP+RINy23vG+d34OrJjcgrK+d9RsyDa9k6FAlLce7AHwh/cBmZKfHQMzCCe8O26DlsNkzMrWXLuHVpDx4EHUNSzGMUF+Vj/t83oG9oUv0rAjW3z0eH3ULgqQ1IjA5BXnYqhk/7Cw2adVdaxsVDf+LRzRPIyUiGppY27FwaodvgGXD08K+RWBVJJBJcPfYX7l/djaKCHNi5+qPnx9/Cyr7yuJ/cPY0rR/5AVloszCyd0WngTHg37aEybdCptQg4tAItuo5B9w8XyKaXFOXj0sHf8PT+ORTmZ8HUwgHNu4xGs84jqjXGCvk5twNXyvZvawdP9B817yX7900c3/EzUhIiYGxmjc79JqC1wv79PP4pzu7/EwnRIchKS0S/kd+gQ+9PlJZRXJiPM/v/wOPb55CXkwF7lwboP3o+nNz9aizOqjh9/CAOH9iJrIx0ODq7YtzE6Wjgq7rcZWakYcuGv/EsIgzJifHo8/5QjJs0XSmNUCjEwb3bEHD+FDLS02Dv4ISR4z5D0+atayMcla6e2YWLxzYhJysVto6eGDRmLjx8mqtNH/H4Fg7/txzJ8REwMbdG1/7j0L7HcNn3NwMOYeeahRXm+2XLHWjr6AIAzh1ajwe3ziElMQraOnpwrd8E7388E9b2btUWV2V1rCpRT27i1M6ycmxujQ59JqBV14+U0rxp3Q4AIbfP4PalPUiMDkFBXhY+/+EA7FwaKC0jNysVp3cvR2RIEIqL8mFp54pO/SfDt2Wvalgz0nrt8pG/cPdyWX3u1hi9R768Pg+9cxqXDsnr8y4fzIBPM3n8V0+sxZO7Z5Ge9AxaOnpw9GiKbkNnw9JWeg4iEpbi4qE/EPEwAFmp8dDVN4Jbw3boNmQWjM1sqiW2ykgkElw7rlyf9/jo5fV52N3TuHJUuT6v30Qh7mN/4trxv5TmMTSxxLSfrwEARKJSXDnyOyIfXUZ2Whx09Y3g4tMOnQfNrpW4VenbVhft/XSgrydATJIIuy8UIjldrDZ9Oz9ttGqgA3tLTQBA7HMRjl4rQkyySCmdqZEAAzvqoZGrFrS1BEjJFGP7mQLEpahfdm0a/7ELBvSyg7GRFh6H52LFmqeIii2o0rzdOlrhh68b4vL1NMxfEiKbrq+viYkjXdGprSXMTbUR/iwPf6yPxJOn/7cePKzXoQXcZ0+AaTNf6Nlb4/aQz/H8yPm6ztYb6eSrgWYeAujpAAnpwKnbIqTmqE9vZQJ0bqwBO3MBzIwEOH1XhJthFcfMMdYHujXRgIedANqaQHoucPSGCMmZNRjMG5BIJLh5+i+EXN+D4oIc2Lg0Ruch38LCVn3dl578FDdOrkJqfAhyMxPRYeA8NOn8idr0tU0ikSDw+F+4f203isvq8+7Dv4Xly+rze6dxTaE+7zBAuT4HgNys5wg4uBxRj69AWFIEcxtX9B61BLbOvgCA8HtncP/qbjyPfYTC/CyMmXcINk4NVP1ctZNIJAg4onw91rcKx+/Ht0/josLxu+vgGWigcPyOCbuFwNMK12NT/4JPueuxHyaovs/UfdhXaN+7+u4zEVFF7HnyEhs3bsQXX3yBq1evIjY2ttZ/Pz4+HkeOHMG4ceMqfFdaWoqPP/4YHTt2rPBdVFQU+vbti44dO+LevXuYP38+pk+fjv37979yHnr37o2kpCTZ58SJE0rfz5gxAwcPHsSuXbtw9epV5OXloX///hCJ5Cfztra2MDU1feXffl1XT/yLoNOb0XfkIkz6di+MTK2w9dfxKC7MUztPXMQ97P1nFhq3HYDPFh9G47YDsOefmYiPvC9L8+jGCZzasRSd+k/BlB8OwqV+C/y3YhKy0hNlaeb8fkXpM2j8EggEAjRs3rNaY7x28l8EndmMvqMWYeKiV4hxzSz4txuAKT8chn+7Adi7plyMN0/g1M6l6Nh/CqZ8fxDOXi3w30p5jBKJBLv+morM1Hh8PH01pnx3AGYW9tj663iUFEsvfkqKC7DttwmAQIBPvt6MCfN3QCQqxY5Vn0EsfrOLt7rctgDg6ddRafuOnLlW6Xt710YYNOEnTPvpOEbP/heABNt+nQCxWPni9k3cv34Sx/5bii4DJ2P6//bD1bs5Ni2fjKy0RJXpM1LisenXKXD1bo7p/9uP9wZMwtFtP+HhrTOyNM9Cb8K/bT9Mmr8Jn3+3A6YWdtjwy0RkZzyXpTGpZ4PeH87EtMV7MW3xXng0bI2tK6fhefzTaoutvCsn/kXg6c3oN2ohpny3B0amltiyfAKKC/PVzhMbcQ97/pGW86mLD8G/3QDsXj0LcQrb++GNEzi5Yxk6vz8Zny0+AJf6zbFtxWTZ9i4tKUJSzGO8N+AzfPbDfnw8bRXSk6Ox/Y/PlX6rtLgQXn4d0an/5JpZAQpqap8vLS6EjZMP+o5apHY5Frau6DtyET5bfATj522HmaUDtq2YgPycjGqNUZUbZ9bj1vlN6PHRt/jkm30wMrXE7j/GobhIfdwJz+7h8L8z4dtmIMYvPAzfNgNxeP0MJEbdr5A2KfoBgq/shpWDd4Xvzu9dimePr6D/uOX49LsTaNltLM7u/hHhweeqNUZFD66fwPH/lqHLwMn44n8H4OrdHJtfsn9vLtu/v/jfAXQp278fKezfJSVFqGfthN4fzoKxmgbs/RsWIuJRID6c8jO+XHoYXn7tsWHZeKU6oLZdu3wem9avwpAPR+OXVRvQoJE/lnz/FVJTVOeptLQUJiZmGPLhGLi4eapMs2vbepw9eQTjJ8/Ayn+2oUffgVi+ZD6iIsNrMhS17gWdxKGty9Bj0ETMWboX7t7NsG7ZFGSmJalMn54Sj/W/fA5372aYs3Qvegz8FAe3LMX9G2eV0unpG+GHfy4pfV40nABAZOhtdOj5Mb5cvANT5q+DWCTEmqWTUFxUtZuYL/OyOra8zNR4bFsxBS71m+OzxQfQqf8knNj+E0IUynF11O2AtM5z9mqKHsNmqc3//vVzkZYcjZEz/sa0Hw+jYfMe2LN6FhJjHlfD2gECT/2L62c3o/eIRZiwcC8MTa2wfcX4Suu1+Mh72L92FvzaDsCk7w7Dr+0A7F87EwnP5PHHht1Cyy4jMG7+boyctRESsRA7VnwqOz8rLSlCcsxjdOz/OT79dj+Gff4nMp5HY/efn6v72Wr1oj7vPvxbjJm7D4Ymltizqgr1+YaZaNR6IMYtOIxGrVXX55Z2Xpi67KrsM37hUdl3wpIiJMc+Rru+n+GTeQcwaNJfyHgejQP/fFZjsVame0sddGmmiz0XCrF8ex5y8sX4YoghdLXVz+PlqIU7YaX4Y28eftuZh8xcMaYONoSpkUCWRl8XmDXcCGIRsPpgAX7ckosDAYUoLK6FoKpg5BAnDB/kiBVrI/DprLtIzyzBysWNoa+v+dJ5bax0MXW8B4IfZVX47psv6qNlU3P8b8UTjPniNm7dy8Tv/2sMy3o6NRBFzdE0NEDOgzCEfLm4rrNSLdo1EKCNjwCn7oix4YwI+UUSjOyiCZ1KHt/V0gIy84AL98XILVT9ogE9bWBsd02IxMDOSyL8c0KEs/fEKC6toUCqwd0L/yI4YDM6D16ED2fuhaGxFQ6vGY+SSuo+YUkRTC2c0Lb/bBgYW9Vibqvm5tn1uH1hE7p/+C1GvajP/xxXaUwJz+7h6IaZaNhqID6ZfxgNWw3E0X+V6/Oigmzs+PVjaGpqY+jU9Rj/7XF0GfwNdPXlD6eVlhTAwaMpOg2aU6MxqiK7Hhu5CBMX7oWRiRW2/fby67F9a6X3IqZ8L70XsW/NTMQrHL9LSgph4+iDviPVX4/NXnFF6TNg3BKgBu4zEVFFbDypRH5+Pvbs2YPPPvsM/fv3x+bNmyukOXLkCLy8vKCvr48uXbpgy5YtEAgESr1AAgMD0alTJ+jr68PJyQnTp09Hfr76G3+K9uzZA39/f6VeHC8sXLgQPj4++PDDDyt8t2bNGjg7O+P3339HgwYN8Omnn2L8+PH49ddfqxz/C7q6urC1tZV96tWrJ/suOzsbGzZswG+//Ybu3bujadOm+O+///Dw4UOcO1dzN5cqI5FIcP3sVnTsPwUNW/SEjWN9fPDpMpQWF+HB9WNq5ws6sxXujdqhU//JsLJzR6f+k+HeoA2Czsp73gSe2YymnYageedhsLL3QJ8R82FSzxa3LuyUpTE2tVL6PLl3Aa4+rVHP2qnaY+zUfwoaNi+LccIylJYU4eEN9TFeP7sVHg3boWM/aYwd+02GW4M2uK4QY9DpzWjWcQiad5LHaFrPFrcvSmNMfx6N+Mj76D/6Ozi4+cHSzh39Rn+HkqJ8PLxxHAAQ+/QustISMGjCUtg4esPG0RuDxv+ExKiHiAq9rjJvrxJ3XW1bANDS0lHavgZGZkrft3hvOFy9W8Lc0hH2ro3QdfAMZGckISst4bXjLu/qyc1o0XkIWr03FNYOHnh/1DyYWtjh+vldKtPfuLAbZpZ2eH/UPFg7eKDVe0PRovNgXDmxSZbmo8+Xo233j2Hv0gDW9u4YMmExJGIxIh7Lt1fDZl3g06QzrOxcYWXnil7DZkBHzwCxEQ+qLTZFEokEQWe2otP7k9GobHsPmVi17e3RqB06958EK3t3dO4/Sbq9z2yVpQk8vQXNOg1Gi87DYG3vgb4jpdv75gXpOtQzMMbYrzbCr1UfWNm5wcmzCfqNWojE6BClm3Dten2CTv0nwqmGe2DU5D7v1bgTug2eUemJd+M278OjUTvUs3aCtYMXen30DYoL8/A8Pqxa4yxPIpHg1vmtaNdnCryb9oSVQ330++RnlJYU4fFN9XHfOr8Fbg3aoW3vybCw9UDb3pPh4tMGt84r96QsKcrHkY1foc+oH6FnULGBPyEqGH5tBsHFuzXMLB3RpONwWDv6IDn2UbXH+sKVk1vQovNgtHxvWNn+PR+mFraV7N+7yvbv+bB28EDL94aheefBuHxioyyNk7sf+n78Ffzb9oOmdsWbSaUlRQi5dRZ9PpoDN5+WsLRxQffB01DPyhE3zu+skL62HDu0G1179EO3Xu/D0ckV4yZNh6WlNc6cOKgyvbWNHcZP/hKdu/WGgYGhyjSXL57G4A9Ho1nLtrCxtUevvh+gSbNWOHpQ9fqtaZeOb0XrLoPRputQ2Dh44INPvoGZhS2unVWdn8Bze2BmYYsPPvkGNg4eaNN1KFq99wEuHt+snFAggImZpdJH0eR5a9Gq8yDYOXnCwcUHH0/5EZlpSYiPqqbGgZfUseXdvLgLphZ26DtyPqztPdCi8zA06zgY107Jy3F11O0A0KT9QHQZOBUeDdupzX9cxH206T4Sju6NUc/aCe8N+Ax6BsZIin7z9SORSHDz3FZ06DcFDZr3hLVDfQwcL63PH1VSn984uxXuDduhQ9/JsLRzR4e+k+Hm0wY3zsnrtREz/4V/+8GwdvCCrZMP3h+3FNkZiUiKkT6lr2dgjFGzN6JRyz6wtHWHo0cT9P54IZJiQpCtpmGrukgkEty+sBVte1esz0NvqY/79oUtcPWpWJ/fvqBcn2toasLI1Er2MTCWX6/o6hvjoy83oUHzvrCwdYeDexP0GL4QybEhyMmo2bhV6dJUF6dvFuF+hBBJ6WJsO10IbS0BWviov9m/5WQhrtwvQUKqGM8zxdhxthACAeDtJL8T3aOlLjJzxfjvTCFikkXIyJEgPE6EtOy3o9fJsAEO2LonFpeD0hAVW4AlK59AV1cTPTtbVzqfhgbw3ZwG2LAjGonPi5S+09HRQOd2Vli96Rnuh2QjIakIG3fGIOl5ET7oa1+T4VS71NOXEf7d70g+dPblif8PaOWtgashYjyJlyA1Gzh8XQxtLcDXRaB2nqQM4HywGCGxEojUPHfWrqEGcgqAozfESMwAsvOB6OcSZKq/d12nJBIJ7l/eihbdp8CjcU9Y2NVH9xHLICwpQvhd9XWfjbMf2g/4GvWb9oOmViUtq3VAIpHgzoWtaNN7Cuo37Qkr+/roM+ZnCEuK8LiS+vxOWX3epqw+b9N7Mpx92uDORXl9fuPMehib26LPmKWwc20MUwtHuPi0hbmVsyxNo9aD0K7vNLj4tK3ROMuTSCS4cW4rOr44fjvWx6AqXI/dOCe/HrNUuB67oXg95tdJ2hulkusxxWOckakVwu5dgJt3a5hbVd99JiJSjY0nldi9eze8vb3h7e2NUaNGYdOmTZBI5E9AREdHY+jQoRg0aBCCg4MxefJkLFiwQGkZDx8+RK9evTB48GA8ePAAu3fvxtWrVzFt2rQq5eHy5cto0aLiEAcXLlzA3r178ffff6ucLygoCD17Kle8vXr1wu3bt1Fa+mqPZVy6dAnW1taoX78+Jk6ciJSUFNl3d+7cQWlpqdJv2dvbw9fXF4GBga/0O9UlMzUeedmp8PRtL5umpa0DF++WiIu4p3a++MhgeDRqrzTNw7cD4iKCAQBCYQmSokPgWT5No/aIi1S93LzsNIQ/CECzjkNeMxrVXsSomF8tbR24viTGuMhgePgq59/TtwPiIoMBSGNMjAmpuB4atZctVyQsKfs9+ROsGhqa0NTSQezTO/I0AgG0tOQXgVrauhAINGRpXsfbsG2jn9zEL9PbYdU3vXB40yLk5aSr/d2S4gLcu3oA5laOMKlnW9UwKyUUliAh+jG8/JTz6uXbDjFPg1XOExMRDC9f5ZtEXn4dEB8VApFQdX1QWlwEkUgIA0PVPcbEYhHuB51ASXEhnL1qpuFAur3TKmxvV5+WiK2snEfch2eFeNvL5hEKS5AYHaK0XADw9G1faTkqLsyFQCCAnkHNDMtVmZra51+HUFiCOwG7oatvDBsn1d3Hq0t2Wjzyc1Lh2qCDbJqWtg6cvFoi4Zn6uBOfBSvNAwBuDTtWmOfMrsXw8O0M1waqb6I6ejTD0wcXkJv5HBKJBDFh15H5PApuDTuoTP+mXpTNivt3e8Q+VR1vbEQwvMpt4/p+7ZFQyf5dnlgkglgsUqrXAUBLRxfR4XdfIYLqU1paimcR4fBv2kppeuOmLRH25PUbr0pLS6Gto3yDUkdHF08eP3ztZb4uobAU8VGP4d1Yufx5N26H6PCKvaQAIPrp/QrpffzbI+6Z8vYuKSrA4i964Pup3bD+l88RHxVaaV4KC6R3nQyM3ryX8OvUsXERwRXT+7VHQrQ8rpqq21Vx9mqGhzdPoiAvC2KxGA+uH4dIWAq3Bq1ePvNLZKVJ63P3RhXPZeIrO5d5Fgz3hsqxuTfqgPiycxlVigukwxbpqzmWA0BRYS5QC8e2F/W5Yv0pq8/VnEcDQMKz4Ap1rqr6PDMlBn9/0wFrFnbF4X9nIis1rtL8FBfmAQKB0tPMtcHCVABTIw08iRbKpglFQES8EO72L++B8YKOFqCpCRQUya9N/Ty0EftchPH9DbB0ijHmjjJCO7+346arvY0eLOvp4uY9+bhKpUIJgh9lwden8m0w9iMXZGWX4vjZ5ArfaWoKoKUpQEmJcgNRcYkYjRvW3qgHpMzMEDDWF+BZsrx8isRATIoEjlbqG0+qor6DAIkZEgxpr4FZH2hiYm9NNPV4s2XWpJyMeBTkpsLZW15/a2rpwMGjJZKiX+3Y9LbITld/fp5Y2fl5lIrz8wYdleaJfHABti6+OLx+Ov7+ui22/DQI96/uqf4gXsOL47eq67H4So5jcZHBSsd8APBoJL8X8TrystPw9GEAmlbzfSaqSCLh51U//z/iO08qsWHDBowaNQqAdOiqvLw8nD9/Ht27S8ceXLNmDby9vbF8+XIAgLe3Nx49eoQlS5bIlrF8+XKMGDECM2bMAAB4eXlh1apV6Ny5M/755x/o6elVmofo6Gg0b6487nV6ejrGjh2L//77DyYmqk82k5OTYWOjPIavjY0NhEIh0tLSYGdnV6V10KdPHwwbNgwuLi6IiorCokWL0LVrV9y5cwe6urpITk6Gjo4OzM3NK/xWcnLFE1x1iouLUVys3Ke8tERHaYiJqsrLTgUAGJpYKE03MrVQO+yJdL40GJWfx8RCtryC3EyIxSKVy817lKZymcHXDkFXzxANWlRvV8q8HNUxGppYVPrkYF52msp5FGOUiEUwNFWVRhqjpa07TC3scW7fCrz/yQ/Q1tVH0OnNyMtORV6WdDmO7k2go6uPs3t/RbchMwFIcHbvr5BIxLLfeq2463jbevl1QqOWvWFqYY+stHhcOLAKW34Zi8nf7YeWwtPcNy/swNk9v6KkuACWdu4YM2ejUkPSmyjIzYJYLIJxubwam1ogPFt1OczLToNxuW1qbGIBsUiI/LwsmJhV7Ap+cvcKmJpbw7OR8hM9yXHhWP3DxxCWlkBHzwCjv1wFGwfVw+O8qRdlzshE+YlpIxMLtUO/vJjPsNw8hiaWsuW9WIeqlpurZh2WlhTjzN4V8GvTH3r6Rq8cy5uqqX3+VYQFX8S+tbNRWlIIY1MrjJmzEYbG5i+f8Q2oj9uy0qeF83JUx52fI4/78a3jeB77GJ/M26d2OT2GL8TJ/xbh73mdoKGhBYGGAH1G/QgnT/XvbXgTasumqfqymZudBiPT8vWbZdn+nQkTs8qf6AUAXX1DOHs2wYVD/8Da3gNGpha4H3Qc8ZEPYGHj8voBvYHcnGyIxSKYlTu/MDM3R9bd1x8uzr9ZKxw7tBsNG/nDxs4BD+/fwa0bVyEW1f6T2fk50mNPhfrZ1AI56rZ3lor63FRan+flZsHU3ArW9m74eMqPsHP2QlFhPi6f/A+rvh+Nr5bth5Vdxe0pkUhweNsvcPNuBjunysfsrorXqWNVH6el5bggLxPGZtY1UrerM/zzFdi9ehaWTmsLDU0taOvo4eMvVqGetfPLZ36JF/Vv+XirVJ+XPz8ztZDVk+VJJBKc2bMMTl7NYe1QX2UaYWkxLuz/Db6t+kO3ho9tL/JpYFyxPq8s7vycNBiWn8dYuT63c22Mfp/8jHo2rsjPSUfgyX/w368fYcKiY9A3qnicEpYWI+DQr2jYsubjLs/EQPrsYm6B8t2F3AIJ6plU/QbwwI56yM4T40msvBHG0lQDHf11cOFOMc7cKIKLrRaGdtGHUAjcDK3bMY3qmUvPgzOySpSmZ2aVwMZa/fWwXwMT9O9hh3Ff3lb5fWGhCA9DszH2IxdExxcgM6sE3TtZo2F9Y8QnFlZfAPRKjPSl/+YpdxRCfhFgqrpjaJWZGwEtvAS4/kSCa49FsK8nQK9mGhCJxHgQ/fbdtSsoq6v0y9Vj+sYWyM2s/Z5v1SH/xTV5uZgMjCs/P8/PSYNBuWOfQbnz86y0OARf3okW3cahTe8pSIp+gAt7f4Smlg582wyqviBew5scv1Xei1Bz/K6K+4GHoKNrWGlPFSKqPmw8USMsLAw3b97EgQMHAABaWloYPnw4Nm7cKGs8CQsLQ8uWLZXma9VK+Ym0O3fuICIiAtu3b5dNk0gkEIvFiIqKQoMGlb/YqrCwsEIDy8SJEzFixAh06lT5S5oFAuUT8Be9ZspPr8zw4fIXkPr6+qJFixZwcXHB8ePHMXjwYLXzSSSSV/qdpUuX4ocfflCaNmT8txg64fuXzvsg6CiObpG/iH7kjDUAVMX/8thVfS+AoNI0EknFNC/cu7Iffm36Q1v71RuBFD0IOoqjW18eY9nESpdVIa8S6dSXpilbrqaWNoZPXYXDmxbi5y9aQ6ChCfeGbeHpJy+Phib1MOyz33F82w+4cX4bBAIN+LXuBzuXhhBoVP2purdt2/q27iv7v41jfdi7+mLlnG4Iv38JDRUayBq3eR8eDdshNzsVgac2Ys/qGZiwYOcbl4NymS2X15ftc+XSQ6JiqlTAsQ24f/04Js3fUqEB09LOFdOXHEBRfi4e3TqDvevmY9KCLdXSgHI/8CiObPle9veomf9I81i+OEokanIuV2FdSCQVy7WK5aral0XCUuz5ZzYkEjHeH/Ntpb9bXWp7n68KtwatMeX7gyjIy8TdgL3Y+88MfLpwT4WLgTcRcuMITu2Qxz1sqvSdQqq258uonkc6LScjCef2LMHwLzdW6G2h6PaFbUiMCsaQz/+BaT17xD29jTM7f4CRqbXa3irVovzmecn+XX4by/fvqm/nD6f8jP3rF2Dp9M7Q0NCEvWtD+Lftj8RqGKbozbx6fV+ZcZOmY+2fv+DLz0ZBAAFs7OzRpXtfXDx34uUz15CK++grbu9y53euXv5wVegR6Fa/KX6bPwxXTm/H4LHzKyxv/6YlSIwNx/Tvt1b47o1UsY6Vp1ddjhUXVJ11e2XO7f8DRQU5GPv1RhgYmSP07nns/nsmJsz/D7ZOqhsi1Hl4/SiOb5PXax9PX6Mmoy/fZ1+lPj+1439IiQ/D2Lk7VH4vEpZi/9pZkEgk6DvqO5Vp3kTIzSM4rVCfD/1cdX0uPX95ycJUlg35NA/fzrL/WzkA9u5NsO7bHnh4/RBadVd+b6RIVIojG2ZCIpGg50ffVz2g19TCRxsfd9eX/f3PIenQzRWOYgIV09To3kIHzX208ceefAgVhjYSCF68SF76QFp8agnsLKUNKrXdeNKjszW+mirfV75eXNa7r3yQAvWB6+trYtFsH/zyVziyc4SqEwH434onmPelNw5vaQuhSILwyFycDUhBfY/af9jlXeXrIkC/lvJBTXYGlBVMFdv2TZs3BAASM4CLD6QPPSRnSmBlKkFzLw08iK6+d0y+rrA7R3Fpr7zu6/+pmnP4KtT5b4vHN4/gzE55TEM+K3vnZ4XKW/LSSwxV5zyKM0kkEtg6+6LTQOl7yWycGiI9KQLBV3bWeuPJg+tHcUzhemzEl2XHbxX3DF56IKtwHANe53rshXtXpfeZKruOIaLqw8YTNTZs2AChUAgHBwfZNIlEAm1tbWRmZsLc3FzlzUpJuRs6YrEYkydPxvTp0yv8hrPzy59es7S0RGZmptK0Cxcu4MiRI7L3l7xojNHS0sK6deswfvx42NraVuj5kZKSAi0tLVhYvP6NLjs7O7i4uODpU+kLom1tbVFSUiJbJ4q/1a5d1W8szZs3D7NmKb+48/Ddqj2p792kCxzcG8v+fjGsVF52GowVnrjNz0mv8CSyIiNTywpPJublpMOw7OW6Bsbm0NDQlD3hqLRc04rLjQm/jbTkKAz7bGWV4qjMq8RY2Y1MI1NL5OWUy39uOowUYhSoijFXebn2rr747IdDKCrIhUhYCkOTelj/vw9h7+orS+Pp2wFf/nwW+bmZ0NDUhL6BCZbP6ABfy4rv76mOuGtz275gbGYNUwt7pD+PUZquZ2AMPQNjWNi6wtHDH8umtsaTO2fh16b/SyJ+OQNjM2hoaKqIJ0PttlcdfwY0NLUqvLPl8vGNuHh0HT6duwF2zhVfoK2lpQPLsifRHd19ER/1CNdOb8Pg8T9USPuqfJp2haOHfHsLy7Z3bvntnZtR4Ul7RUamlhV6VuTnyrfli3VYsZxXXK5IWIrdq2ciMy0e4+duqrVeJ7W1z78KHV0DWNi4wMLGBU4eTbDqm164d2UfOvab/MrLUsfTvyvGu8lv+goV4jYyVSwD6RWeQFdkpPA0unyeDNk8ybEhKMhNx+af5A8BSMQixEXcwp1L2/HVXw8hEpYi4PBKDJ7yFzz93gMAWDv64Hl8KG6c3VAjjSfqymZl+7exiv07Pydd5f5dGQsbZ0xauA0lRQUoKsqDiZk1dvw1E+ZWDi+fuQYYm5hCQ0MTWZnKvUyyszJhavb6PZ5MTc3x9cKlKCkpRm5ODupZWGL75jWwtqlaj9zqZGgiPfaU72WSm5NRoXfhC8ZmlhXSv6jPDdUMuaWhoQFnd1+kJsdW+G7/pp8Qcucipn23BWYW1TO85KvUsS9I6+3Ky3F11u2VyUiJxY3z2zFtyRHYOEh74tg5+yAm/DZunt+BAWO/r/KyAKB+ky5wcKt4bMvLKX9se/m5jKp1VL6nDSBtOAkPvoAxX/+ncthQacPJTGSlxWP0nM010vvCs3FX2LtWrM/zc5Tr84LcdBgaq6/PDU0skV/uOFagUJ+roqNrAEv7+shMiVaaLhKV4vD6GchKi8fHM7bUSq+Th5GliE6W39DVKnuGyMRAgJx8+XWjsb4Aufkvv63crbkOerbSw1/785GYptxjLidfguR05WnJ6WI08ar9obuu3kzH43B5bxEdbemN9XrmOkjPlPc+MTfVrtAb5QUHWz3Y2+hj2SL59YVG2aX3pUOdMGLKTSQmFyExuQhfzLsPPV0NGBpoIT2zBD983QBJ5d6PQjUnPEGChHSFcl7WjmKkr9z7xFBP2vvkTeQWAWk5yvtKWo4EPk5vR0OEW6MusHFWOIcXSct3QU4aDE3kdV9hXnqF3ihvK8/GXWGnUJ+LarA+NzK1goWdh1KaerbuCL93+o1ieB3e/l3g+J2K43e567GC3Cpcj1Xx+F0VMeG3kZ4chaFT3vw+ExFVDd95ooJQKMTWrVvx22+/ITg4WPa5f/8+XFxcZL1IfHx8cOvWLaV5b99W7lLcrFkzhISEwNPTs8JHR+fljQNNmzbF48fKT30GBQUp5Wvx4sUwNjZGcHAwPvjgAwBA27Ztcfas8svmzpw5gxYtWkBb+/VPoNPT0xEXFycb9qt58+bQ1tZW+q2kpCQ8evTolRpPdHV1YWJiovSp6pBduvpGsht6FjYusLL3hJGpFSJD5O9cEQpLEBN2C06eTdUux9GjCZ4pzAMAkSHX4OTZBID0prGdayOl5QLAs8eBcPKouNy7l/fB3rURbJ3f/J0AamN8rBxj9EtidPJoUiH/kY+uwcmjCQBpjPYujZSWCwCRIYEql6tnYAxDk3pIfx6NxOhH8G7atUIaQ2Nz6BuY4FnodeTnpsO7SZc3j7uOt+0LBXmZyMlIgrGKYa+USWQnW29KS0sHDq4NEfFIOa8RjwLh4tVE5Twunk0qpH/68Boc3RopvYAw4PgGnD+8BuO/WgdHd9/yi1FJIpFA+IrvUVJHV99QaXtb23vCyNSywvaOfnILzpWVc09/RIRUXD8v5tHS0oG9iu1dvpy/aDhJfx6DcV9Jnz6uLbW1z78JCSQQllZPuX5BV88I5tYuso+lnScMTawQHXpNlkYkLEHc01twcFcft717E6V5ACA69KpsHhefNpiw6CjGLzgk+9i6+KJRq/cxfsEhaGhoQiwSQiwqrfCQhIaGZoUHJarLi7L5VMX+7eylOl5nNfu3Q7n9u6p09AxgYmaNwvxsPH14DQ2bdXvlZVQHbW1tuHvWx4Ng5fOsB8G34O1TtfqpMjo6urCwtIJIJML1wAC0bF0z77GpjJaWNhzdGiL8QZDS9PCHQXCt769yHlcvf4Q/VE4f9iAQTu7qt7dEIkFCzBOll8ZLJBLs37QED2+dw+cLN8LCuuoPNrxMVetYRU6eFeuqiEfX4OAqj6u66vaXKSmW3tkTCJQvk6T7/qsP76arZ4R6Ni6yz4v6PEohn6KycxnHys5l3Jsg6nH585RrcCw7lwGk2/Xk9sV4cvcsRs3ZDHOritv1RcNJxvMYjJq9qcaOba9Un1dyruWgoj6Peny10mOAsLQE6cmRMDKVn5+9aDjJTInBR19uVjmcV00oLgXSssSyT3K6GNl5Yvi4yJ9h1NQAPB218Cyx8qfmu7XQQe82elh9MB+xzyumfZYohLW5crm1NtdARk7tD0tYWChCQlKR7BMVW4C0jGK0bCJf71paAjTxNcOjJzkqlxEbX4DRU29h3PTbss/Vm+m4+zAL46bfRkqa8pDPRcVipGeWwNhQC62a1sPVG+rfS0jVq0QIZObJP6k5QG6hBG628nMoDQ3AxVqA+NQ3O4eKT5XAwlj53KyesQDZ+W+02Gqjo2cEMysX2aeejScMjK0QF65c5ydE3oKda9WPTXVJp1x9blFJfW5f2fm5WxNEP6l4fq44j4N7M2Q8j1JKk5kSDZN6tf8wj66+6uP3s8fK2zI67BYcKzmOOXk0UZoHAJ4p3It4Vfeu7IOdSyPY1vC7J4lIjo0nKhw7dgyZmZmYMGECfH19lT5Dhw7Fhg0bAACTJ0/GkydPMHfuXISHh2PPnj3YvHkzAHm3zLlz5yIoKAhTp05FcHAwnj59iiNHjuCLL76oUl569eqFoKAgiETyE+QGDRoo5cnBwQEaGhrw9fWV9f6YMmUKYmJiMGvWLISGhmLjxo3YsGED5syZU+X1kJeXhzlz5iAoKAjR0dG4dOkS3n//fVhaWsoaaUxNTTFhwgTMnj0b58+fx7179zBq1Cj4+fnJhjerbQKBAG16jMGVY2sReucsnseH49C/86Ctq4fGCk/+H1g/F2f3/ib7u02P0YgMuYYrx9cjNekZrhxfj2ePg9C2xyeyNO16jsXdy/tw9/J+pCZG4uTOpchOT0LLLh8p5aGoMA8ht06jWadhtRfjhnnQ1tGDX2vlGM/tk8fYuizGqyekMV49sR7PQoPQRiHGtr3KYrwijfHUzqXIzkhCi/fkMYbcOoWoJzeQkRKHJ/fOY+uv4+HTrBs8feU3n+5d2Y+4yGBkpMTiftAR7F39Jdr2+ASWdu7VG3ctbdvionyc3vUz4iLuITMtHlFPbmDH75/BwNgcDZpJy3pGShwuH1uLxOhHyEpPRFzEPexdPRNa2rrwaiwfUuJNdegzFrcu7cOtgP1ISYjE0f+WISs9Ca27SYfZO7V7BXav+UaWvnXX4chMS8Kx7T8jJSEStwL243bAfnTsKx/KIuDYBpzZtwpDJ/4Ic0t75GalIjcrFcVF8iuRU3tWIirsNjJSE5AcF47Te3/Hs9BbaNruzXvUqCIQCNC25xhcProOj8u294F/51fY3vvWzcWZvStkf7ftMQaRjwJx+fh6pCY+w+Xj6xH5OAhte46RpWnX6xPcCdiPO5f3IyUxEid2SLd3qy7SdSgSCbHr7xlIiA7B0MnLIRaLZOtEsSEsNysVSTGhSE+R9j56Hh+OpJhQFORlVfu6qKl9vrgoH0mxoUiKlb5QOistHkmxobL3ypQUF+Dc/hWIiwxGVloCEmNCcHjTQuRkJKNRy97VGqequFt2G4OgU2sRdu8sUhPCcXyLNO6GreRxH930NS4dlMfdousYRIVew/XT65CeHInrp9chOjQILbtJ49bVM4KVQ32lj7aOAfQNzWBV9m4AXX0jOHm1wsUDyxETdgNZaXF4EHgAj64fQv0mNXd869jnE9y+JN1HUxIicey/pRX27z1r5srSt+76ETLTEnFs+zKkJETidsB+3A44gE59x8vSCIUlSIwJRWJMKETCUuRkpiAxJhRpCr3mwh9cRdiDK8hIicfTh9ew/qexsLR1Q/NOH9RYrC/Tf9BwnD9zDBfOHEd8XDQ2r1+FtNQU9Ow7CACwffMa/Pnbj0rzRD17iqhnT1FUVIic7CxEPXuKuFj5RfjTsBDcCAzA8+REhD66jyXfzoZELMbAISNqMzSZ9/qNwfWL+3Hj4gE8T4jEwa0/IzMtCe26S7f3sZ0rsX31PFn6dt0/RGZaEg5t+wXPEyJx4+IB3Lh4AF36jZWlObVvNZ7cv4a053FIiH6CXWsXISEmTLZMANi/8UfcvnoMo6b9DF19Q+RkpSEnKw0lJdXzpPbL6tgze1dg3zp5OW7V5SNkpSXi5M5lSEmMxJ3L+3H38gG07y0vx9VRtwNAQV4WkmJCkZoYAQBIS45CUkwocsve22Zl54Z6Ns44svk7xD97gIyUWFw7uQmRIYFoUA2NiQKBAK26j8HVE2vx5O5ZpCSE4/BGab3mq1CfH9owF+f3y+u1Vt1HI/LxNVw7uR5pSc9w7eR6RIUGoXV3eX1+cvtiPLx+FB9M/BW6eobS99Flp6K0bLuKRULsW/MlkqIfYdDE5ZCIRbI0omp6yKOyuFt0ldbn4cHK9XmDlvK4j23+GgGH5HE371KxPo95EoQWXeVxX9j/M2LDbyIrLQ6JUfdxaP10lBTlwbfNB7K4D62bjuTYR3h//K8Q12Lcqly8V4yerfTQ2FMLdhYaGN1bH6VCCW4/kedldG99DOggf5Csewsd9G+nh+1nCpCeLYaxgQDGBgLoKLSZXrhTAjc7TfRspQtLMw208NFG+8Y6uBxc+zGqsvdIAkYPc0anNhZwczbAghneKC4W4UxAiizNwpnemDzGDQBQUipBVGyB0icvX4iCQhGiYgsgFEpvwrdqao7WzcxhZ6OHFk3Mseonf8QlFOD4uaq/f/NtoGloABN/H5j4S2+IGrg5wsTfB3pOtd8zsjrcDBOjQ0MNeDsKYGUKDGytgVIh8ChG3ngysI0GuvrLb0lpaAA2ZtKPpoa0R5aNmfQ9Jy9cDxPDwRJo31AAcyPpkGHNPAW4/bT2GwmrQiAQwL/TGNw+txaRD84iPSkc53bOg5aOHuo3k9d9Z3fMReAxed0nEpYgNSEUqQmhEIlKkZ/9HKkJochKjVH1M7VKIBCgedcxuHG6rD5PDMfJrdKYGirU58c3f43L5erz6NBruHFGWp/fOCOtz5t3kdfnzbt+gqSo+7h+ag0yU2Lw+NZRPLi6B007y8/TCvOz8DwuFOlJkQCAzOdReB4X+kbvVq1q3K27j8GV42sRevcsUuLDcWhjxeuxg//OxTmF43fr7vLrsTSF67HWCtdjJUX5SI4NRXLZ9VhmWjySY0MrvEuluDAPj2/X3H0mIlKNw3apsGHDBnTv3h2mphWHPxgyZAh++ukn3L17F82aNcO+ffswe/Zs/PHHH2jbti0WLFiAzz77DLq60pPdxo0bIyAgAAsWLEDHjh0hkUjg4eGh9C6RyvTt2xfa2to4d+4cevXqVeUY3NzccOLECcycORN///037O3tsWrVKgwZMkSW5tKlS+jSpQuioqLg6upaYRmampp4+PAhtm7diqysLNjZ2aFLly7YvXs3jI2NZelWrlwJLS0tfPjhhygsLES3bt2wefNmaGpW/d0W1a1D308hLC3CsW2LUZSfDQePxhg9e4NS9/zs9ESlJ4qdvZph6JTfcOHAH7h4cBXMrZ0wbMoKOHrIn/70bd0XBflZCDjyN3KzU2Ht4IWRM9fCzFL5SYhHN44DkMCvdb8ai7F9n09RWlKE4/8tRmF+NhzdVcSYkQiBhkKMnvIYLxxchXrWThhaPsZWfVGQJ40x70WMM5RjzM1Kweldy5CXkw5jMyv4tx2ITgM+U8pfWnI0zu1ficL8bJhZ2qNj/ylo23PsG8ddV9tWQ0MTz+PDcT/wMIoKcmFkZgU3n1YY9tlK2W9raesgNvwOrp/diqL8HBiaWMDFuwU+XbCzWt8L4d+mDwrysnD+0D/IzUqFraMXxs5ZC/OyvOZkpSErPUmWvp61I8bNWYNj25ch6NwOmJhZ4/3R8+HXUv6elqDzOyESlmL7qhlKv9Xtg8/RY/A0AEBedjp2r/kGuVmp0NM3hp1zfYz/ah28/Gru3Q8d+34KYUkxjm5djKL8HDh6NMYnc/6Frr78bZPZ6UnQUHhC2NmrKYZ99hvO7/8DFw78CXNrJ3z42W9wUtjefq2l5fzS4dXIzU6FjYMXRs9aI9veORnP8eTeBQDA6m+Vbx6Pn7sFbg2k77e6dXE3Lh7+W/bdhqWjAQAfTPgJzTpW703nmtrnE6MfYcsv8pP307uWAQD82w/CBxOWQaChibSkKNy/Nh0FeZnQNzSDg5sfxs/bDmuHN3+59Mu07jkRpSXFOLPzBxQVZMPezR/Dp2+Erp487pyMJKWnxB09mmHghBW4fOR3XD6yCuZWThg4cSXs3VQ/za/OwE9XIODQChzdOAdFBdkwqWePTgNnommnj6stvvIat+mL/LwsnD+0GrlZqbBx9MLYOWtk+3duVmqF/XvsnDU4vn0Zrivs374K+3duZir+XCgfouzKiY24cmIj3HxaYtIC6XsuigpzcXrPSmRnJMPA0BSNWvZEr2EzXqv3SnVp36kb8nJzsG/XZmRmpMPJxQ3zv/8FVtbSYYgyM9ORlvpcaZ6vp8tvtj+LCMPVgLOwsrbF6o17AQAlJSXYuW09UpKToKevj6bN2+CL2YtgaGSMutC0bR/k52bj9IE1yMlKhZ2TFybN/Qf1rOwBSOvzzDT59rawdsTEr1fj0LZfcPXMTpiaW+ODT+bBv3UPWZrCglzs+fd75GSlQd/AGA6uPvji281w8fSTpbl2bjcA4O//Kb8P4uMpP6JV50FvHNfL6ti8rFRkK5RjcytHjJ61Bid3LsON8ztgbGaNviPno5FCOa6Ouh0Anty7iIMb5O9+2fPPbABAl4FT0fWDadDU0saYmWtxZu8K/Pf75ygpKkA9G2cM/nQp6vtXz4MQ7Xp/CmFJEU5ul9bnDu6NMXLWBuV6rdy5jJNnMwye9BsuHfoDlw5J67XBk1bAwV0e/51LOwEAW5fLG5QAYMC4n+DffjByMpMRHiw9tq3/YZBSmtFztsDVp3W1xKdO654TISxVrs8//OLl9fmACStw5cjvuHJ0FcysnDDgU+X6PDczGUc3zkJBXhYMjMxh79YEo7/eA1OLF/VmMiIeSOPetGSgUp4+nrkVzvVrNu7yzt0qgY6WAMO76sNAT4DoZBH+2p+PYoWOvPWMNZRe79XRXxfaWgJ8+r7y27ZPBBXhRJC0B0bscxHWHynAgI566NNGF+nZYuy/VIjbT+r2ZfEvbN8fB10dDcz6zAvGRtp4HJ6Dmd8+QGGh/CFBGys9iF+xY4KRoRYmj3GDlaUucnJLERCYhnXboiASvX0vD6+MaXNftD2/TfZ3w1+l9VTc1gN4MGGeutneWoGhEmhpStCnhQb0dYCEdGD7JRFKFF5fY2IgUOrNa6wPTOojv0XVroEA7RpoIPq5BNsuSMtJUgaw94oYXf010MkXyMoDztwVKzXKvG2adZVevwbsX4ziwmzYODfGwMkboKNQ9+VmKtf5+Tkp2P2b/Fri3qWNuHdpI+w9WmLw1G2oa616TISwpBjndknrcztXfwz7YmO5mJIg0JDX5w4ezfD++BW4evR3XD26CmaWTnh/gnJ9bufaGIMm/4XLh1cg8MTfMLVwRJeh89Gw1QBZmsgHF3Bym3yfOLpxJgCgXd9paN+/ag8pv672faTb8oTi9dgsFddj5Y7fQyf/hgsH/8DFQ2XXY5NXwNG93PXYcvn12JndZddj7QZh0IRlsumPbh6HBBL4tqq5+0ykTFxDIw7Q/y0CSU2NPfGOWrJkCdasWYO4uLhqW+bq1atx+PBhnD5dveM8bt68GUuWLMHjx4/faCivV/m9GTNmICsrq0rpdwW+m0XzXd0j3+D9v/+n6Wq9nU9J1bRS0bu5wUXidzPuopJ3M25Tw3dz//Y0T3t5ov8PxefW3tB+b5O84rp7WKYulQjfzXqtpPTdjPtucHZdZ6FOBF8Mruss1Il5pybVdRbqxN2tIXWdhTphZvJuHsf09d7N+txA99284TKiw7u5vd/U/3YKX56IlCz6+P+/fhr//0VUy1avXo2WLVvCwsIC165dw/LlyzFt2rRq/Y1JkyYhMzMTubm5Sj0+3tSpU6fw008/1UrDiZGREYRCIfT09Gr8t4iIiIiIiIiIiIiI3gQbT97Q06dP8eOPPyIjIwPOzs6YPXs25s2rWrfaK1euoE+fPmq/z8vLAwBoaWlhwYIF1ZJfRbt27ar2ZaoTHBwMAHU6lBcRERERERERERERUVWw8eQNrVy5EitXrnyteVu0aCFrVPj/naenZ11ngYiIiIiIiIiIiIioSth4Uof09fXZqEBERERERERERERE9JZh4wkRERERERERERERURmJuK5zQG8DjbrOABERERERERERERER0duEjSdEREREREREREREREQK2HhCRERERERERERERESkgI0nRERERERERERERERECth4QkREREREREREREREpECrrjNARERERERERERERPS2kEgkdZ0Feguw5wkREREREREREREREZECNp4QEREREREREREREREpYOMJERERERERERERERGRAjaeEBERERERERERERERKWDjCRERERERERERERERkQKtus4AEREREREREREREdHbQiyu6xzQ24A9T4iIiIiIiIiIiIiIiBSw8YSIiIiIiIiIiIiIiEgBG0+IiIiIiIiIiIiIiIgUsPGEiIiIiIiIiIiIiIhIARtPiIiIiIiIiIiIiIiIFGjVdQaIiIiIiIiIiIiIiN4WEomkrrNAbwH2PCEiIiIiIiIiIiIiIlLAxhMiIiIiIiIiIiIiIiIFbDwhIiIiIiIiIiIiIiJSwMYTIiIiIiIiIiIiIiIiBWw8ISIiIiIiIiIiIiIiUqBV1xkgIiIiIiIiIiIiInpbiCV1nQN6G7DnCRERERERERERERERkQI2nhARERERERERERERESlg4wkREREREREREREREZECNp4QEREREREREREREREp4Avj6a0l4YuZ3ikagndzgwsEdZ2DulFU8m623WtrvZvl3MJYVNdZqBN5Re9mOTfWyKnrLNQJodiirrNQJ0Tid/RA9o7SfkevHp2cjes6C3WjS5O6zkGduDsipK6zUCeajWlU11moE89Ph9V1FuqElmZd56BuvKvX30T0+t7R018iIiIiIiIiIiIioook4nfz4UdS9m4+EklERERERERERERERG+1zMxMjB49GqampjA1NcXo0aORlZWlNn1paSnmzp0LPz8/GBoawt7eHmPGjEFiYuIr/zYbT4iIiIiIiIiIiIiI6K0zYsQIBAcH49SpUzh16hSCg4MxevRotekLCgpw9+5dLFq0CHfv3sWBAwcQHh6OAQMGvPJvc9guIiIiIiIiIiIiIiJ6q4SGhuLUqVO4fv06WrduDQBYv3492rZti7CwMHh7e1eYx9TUFGfPnlWa9ueff6JVq1aIjY2Fs7NzlX+fjSdERERERERERERERPTaiouLUVxcrDRNV1cXurq6r73MoKAgmJqayhpOAKBNmzYwNTVFYGCgysYTVbKzsyEQCGBmZvZKv89hu4iIiIiIiIiIiIiI6LUtXbpU9l6SF5+lS5e+0TKTk5NhbW1dYbq1tTWSk5OrtIyioiJ88803GDFiBExMTF7p99l4QkRERERERERERERURiLh51U/8+bNQ3Z2ttJn3rx5Ktfv999/D4FAUOnn9u3bAACBQKBi+0hUTi+vtLQUH330EcRiMVavXv3K5YDDdhERERERERERERER0Wt7lSG6pk2bho8++qjSNK6urnjw4AGeP39e4bvU1FTY2NhUOn9paSk+/PBDREVF4cKFC6/c6wRg4wkREREREREREREREdUSS0tLWFpavjRd27ZtkZ2djZs3b6JVq1YAgBs3biA7Oxvt2rVTO9+LhpOnT5/i4sWLsLCweK18ctguIiIiIiIiIiIiIiJ6qzRo0AC9e/fGxIkTcf36dVy/fh0TJ05E//79lV4W7+Pjg4MHDwIAhEIhhg4ditu3b2P79u0QiURITk5GcnIySkpKXun32XhCRERERERERERERERvne3bt8PPzw89e/ZEz5490bhxY2zbtk0pTVhYGLKzswEA8fHxOHLkCOLj49GkSRPY2dnJPoGBga/02xy2i4iIiIiIiIiIiIiI3jr16tXDf//9V2kaiUQi+7+rq6vS32+CjSdERERERERERERERGXE4uq5+U7/t3HYLiIiIiIiIiIiIiIiIgVsPCEiIiIiIiIiIiIiIlLAxhMiIiIiIiIiIiIiIiIFbDwhIiIiIiIiIiIiIiJSwMYTIiIiIiIiIiIiIiIiBVp1nQEiIiIiIiIiIiIioreFRCKp6yzQW4A9T4iIiIiIiIiIiIiIiBSw8YSIiIiIiIiIiIiIiEgBG0+IiIiIiIiIiIiIiIgUsPGEiIiIiIiIiIiIiIhIARtPiIiIiIiIiIiIiIiIFGjVdQaIiIiIiIiIiIiIiN4WEnFd54DeBux5QkREREREREREREREpICNJ0RERERERERERERERArYeEJERERERERERERERKSAjSdEREREREREREREREQK2HhCRERERERERERERESkQKuuM0BERERERERERERE9LYQSyR1nQV6C7Dnyf8BYWFhsLW1RW5ubl1n5bUJBAIIBAKYmZnVdVaIiIiIiIiIiIiIiCrFnicvERgYiI4dO6JHjx44depUneRhwYIFmDp1KoyNjQEA0dHRcHNzq5Du5MmT6N27t+zvgIAAzJo1CyEhIbC3t8fXX3+NKVOmvPLvh4aGYu7cuQgICIBYLEajRo2wZ88eODs7AwCKi4sxZ84c7Ny5E4WFhejWrRtWr14NR0dH2TKSkpKwe/dufPfdd6/8+69DIpHg0uG/cCdgD4oKcuDg3hj9Rn0LawevSud7fPs0LhxchczUWJhbOaPb4Blo0LyH7PvosFsIPLUBidEhyMtOxfBpf6FBs+6y70XCUlw4+AeePghAZmo8dPWN4N6wHboPnQUTc5sai/eFuoobAB7fOYM7l3YjMSYEhXlZmPz9Qdg5N6iRGC8e+hu3A/agMD8Hju6N0X/MIti8JMaQW2dw/uAqZKTEop61M7oP+RINFWIEgBvnd+DqyY3Iy0qFtYMn+oyYB1fvFvJl3D6D25f2IDE6BAV5Wfj8hwOwc6kYY2zEPZzb/wfiIx9AU1MLts4+GDN7HbR19KpnJQAIOrsTASc2IjcrFTYOnnh/1Ddw82mhNv2z0Fs4tv1nPE+IgImZNTr3H4823T6Sx35xL+5eOYzn8REAAAe3huj94Qw4eTSWpRGJhDh34G/cCzyG3Kw0mJhZoXmnQeg6cAo0NGqvLV4ikeDK0b9w78puFBXkwN7NH71HfAsr+8rLwJM7pxFw5A9ZOe88aCZ8msrLwJ1LO3A3YCey0hMAAFb2XujQ73N4+nWWpbl85E88vnUcOZnJ0NTShq1zI7w3aCYc3P1rJlgFdbl/Xzz0Jx7dPIGcDGncdi6N0G3wDDh61GzcgWd34tJxeTkfMPobuFdSziNDb+Hof/Jy/l7/8WjbXV7OH946iwuH1yHteSxEIiEsbZzRue84NO84QJbmpy+7IzMtscKy23b/GIPHLareACshkUgQcER5e/cdWbXtffGQfHt3HTwDDZrJt3dM2C0EnlbY3lP/gk+57X1owze4H3hIaZqDuz8+XbC72uKrqqPHjmHf/gPIyMiAi4szpkyaBF9fX5Vpr167huPHT+DZs2coLS2Fs4sLRo0cgRbNmyuly8vLw+YtW3EtMBB5eXmwtbXBxE8/RauWLWsjpArelXJeU3UYANy8sAOBpzYgt+z43fvj+XCpL1+HxUX5OLfvNzy5dx6FeVkws3RA6+6j0bLLx7I0GSmxOLP7F8Q+vQOhsASevh3Rd+RCGJlaVu+KgHRdXD7yF+5eLlsXbo3Ruwr7d+id07iksH93+WAGfBT276sn1uLJ3bNIT3oGLR09OHo0Rbehs2Fp666wjDO4e3k3ksrO1yZ+exC2NXC+popEIsHlo3/h3mX58bvPiG9hVYW4Aw7Lj9/vDZqpFPe1E2vx5O4ZpCcrxD1kDiwU4i4pyseFA78h7N45FOZnwdTCAa26jUbz90bUWLzqSCQS3LvwN8Ju7UFJYQ6snBqj7fuLYG6jfj1kPn+Ku+f/RHpCCPKyEtG67zdo1P4TtenvB6zDnTMr0bDdaLTpN78mwngtfdvqor2fDvT1BIhJEmH3hUIkp4vVpm/np41WDXRgb6kJAIh9LsLRa0WISRYppTM1EmBgRz00ctWCtpYAKZlibD9TgLgU9cuuTZ18NdDMQwA9HSAhHTh1W4TUHPXprUyAzo01YGcugJmRAKfvinAzrOLTz8b6QLcmGvCwE0BbE0jPBY7eECE5swaDqWb1OrSA++wJMG3mCz17a9we8jmeHzlf19mqMolEgmvH/8L9q9J6zc7VHz0+evl1Sdjd07hy9A9kpcXCzNIZnQbORP0mCvX5sT9x7fhfSvMYmlhi2s/XVC7v1PZvcf/qbnQdOg8tu41947he5l24HqvL85a87DSc3fcrIh9dQ1FhLlzqt0DfkQthYeMqS3N0y7d49jgIuVkp0NE1gJNnU3QfNgdWdu4gourFnicvsXHjRnzxxRe4evUqYmNja/334+PjceTIEYwbN67Cd+fOnUNSUpLs07VrV9l3UVFR6Nu3Lzp27Ih79+5h/vz5mD59Ovbv3/9Kvx8ZGYkOHTrAx8cHly5dwv3797Fo0SLo6clvAs+YMQMHDx7Erl27cPXqVeTl5aF///4QieQntba2tjA1NX2NNfB6rp38F0FnNqPvqEWYuGgvjEytsPXX8SguzFM7T1zEPexdMwv+7QZgyg+H4d9uAPaumYn4yPuyNKXFhbBx8kHfUapvLJSWFCEp5jE6vf85Jn+3H8On/Yn059HYuerzao9RlbqK+0UaJ69m6D50drXGVN6VE/8i8PRm9Bu1EFO+2wMjU0tsWT4BxYX5aueJjbiHPf9IY5y6+BD82w3A7tWzEKcQ48MbJ3ByxzJ0fn8yPlt8AC71m2PbisnISpffXCotLoSzV1P0GDar0t/a+tskeDZqj8nf7caU7/agdfeREAiqr7q9f/0kjv63FF0HTMb0H/fD1bs5Ni6frPJGGABkpMRj469T4OrdHNN/3I8uAybhyNaf8PDmGVmaZ6E30aRtP0xasAmff78DZhZ2+PfnicjOeC5LE3DsX1w/vxsDxyzE7F+Ooc/HsxFwfCMCz2yvttiqIuj0etw4twm9Pv4W4+bvg5GJJXasHIfiIvXlPD7yHg6snwnfNgPx6aLD8G0zEAfXzkDCM3kZMDa3RZfBczB+wX6MX7AfLt5tsHf1VKQmPpWlqWfjil4ff4uJ3x3FmK93wNTSATt/H4/83IwajRmo2/3bwtYVfUcuwmeLj2D8vO0ws3TAthUTkJ9Tc3EHB53EkW1L0W3gZMxYsh9uPs2x4ZfKy/mG5VPg5tMcM5bsR9eBk3B46094oFDODQxN0XXgZEz7fgdmLT2Ilp0HY8+6BQh7cFWWZvr/9mDR3wGyz8R5/wIA/Fv3qrFYVZFt75GLMHHhXhiZWGHbby/f3vvWzkLjtgMw5fvDaNx2APatmYl4hXJeUlIIG0cf9B1Z+Q1yT9+OmL3iiuwz8su11RZbVQUEXMbadevx0fDh+PvPVfBt5IuF336HlJQUlekfPQpBs6ZNsXjxD/hz1R/wb9wY3/+wGBGRkbI0paWlmLdgIZ6nPMfC+fPx77p1+HL6dFhaWNRWWErepXJeU3XYo5sncGrnUnTsPwVTvj8IZ68W+G/lJKXj9+ldyxDx6CoGT/wFU5ccR5sen+DE9h/x5J70Bl1JcQG2/TYBEAjwydebMWH+DohEpdix6jOIxdV/8zXw1L+4fnYzeo9YhAkL98LQ1ArbV4x/6XFs/9pZ8Gs7AJO+Owy/tgOwf+1MpeNYbNgttOwyAuPm78bIWRshEQuxY8WnKCkukKUpLSmEk2czdBtcs+drqgSdWo8bZzeh94hvMX7BPhiZWmJ7VY7f62bCr81ATPz2MPzaDMSBdcrH75jwm2jRZSTGzduDkTM3QSwSYfvKCUpxn9mzFJGPrmDgp8sxZfEJtO4xFqd2/oiw4HM1GrMqD6/8i5Brm9H2/YUY8Pke6BtZ4tSmCSgtVn8uKywtgrG5E1r0mgV9o8ob9FLjHyLs1h6Y23pXd9bfSPeWOujSTBd7LhRi+fY85OSL8cUQQ+hqq5/Hy1ELd8JK8cfePPy2Mw+ZuWJMHWwIUyOBLI2+LjBruBHEImD1wQL8uCUXBwIKUVhcC0FVQbsGArTxEeDUHTE2nBEhv0iCkV00oVPJY6xaWkBmHnDhvhi5haqHjNHTBsZ214RIDOy8JMI/J0Q4e0+M4tIaCqSGaBoaIOdBGEK+XFzXWXktN86sx63zm9B9+LcYM3cfDE0ssWdV5fVawrN7OLxhJhq1HohxCw6jUeuBOLx+BhKj7iuls7TzwtRlV2Wf8QuPqlxeePA5JEXfh5GpdbXGVpl34Xqsrs5bJBIJdv01FZmp8fh4+mpM+e4AzCzssfXX8UrHNTuXRhg4/idMXXIco2b/Cwkk2PbbBIjFogr5IqI3w8aTSuTn52PPnj347LPP0L9/f2zevLlCmiNHjsDLywv6+vro0qULtmzZAoFAgKysLFmawMBAdOrUCfr6+nBycsL06dORn6/+5FjRnj174O/vr9SL4wULCwvY2trKPjo6OrLv1qxZA2dnZ/z+++9o0KABPv30U4wfPx6//vrrK62DBQsWoG/fvvjll1/QtGlTuLu7o1+/frC2lh6Ys7OzsWHDBvz222/o3r07mjZtiv/++w8PHz7EuXO1fzECSA82189uRaf+U9CweU/YONbHBxOWobSkCA9vHFM73/WzW+HRsB069psMKzt3dOw3GW4N2uD62S2yNF6NO6Hb4Blo2LynymXoGRhjzJyN8G3VB5Z27nDyaIK+IxciKSZE6SK+JtRl3ADg324g3hswFe4N21ZrXIokEgmCzmxFp/cno1ELaYxDJi5DaXERHlxXH2PQma3waNQOnftPgpW9Ozr3nwT3Bm0QdGarLE3g6S1o1mkwWnQeBmt7D/QdOR8m9Wxx88IuWZom7Qeiy8Cp8GjYTu1vndyxDG26j0Kn/hNh4+AFC1tX+LbsBS1tHbXzvKorJzej5XtD0KrLUNg4eGDA6HkwtbDD9fO7VKa/fmE3zCzsMGD0PNg4eKBVl6Fo0XkwLp/YJEvz8efL0bbHx7B3aQBre3cM+XQxJGIxIkKuy9LEPL2Phs27okHTzqhn5YDGrXqhvl97xEc9qrbYXkYikeDmua1o33cKfJr1hLVDfbw/7meUlhQhpJJyfvP8Frg1aIf2fSbD0s4D7ftMhmuDNrh5Xl7O6/t3hadfZ1jYuMHCxg1dPpgJHV0DJDwLlqXxbf0+3Bq2g7mVE6zsvdBj2DwUF+UhJT6sJsOu8/27cZv34dGoHepZO8HawQu9PvoGxYV5eF6DcV8uK+ety8r5wNHzYGZhh6Bzqst50PndMLeww8Cyct66y1C07DwYAcfl5dyjYSv4tewOGwcPWNo4o2Pv0bBzro+osLuyNEYm9WBiZiX7hN4LgIWNE9wb1F6vBIlEghvntqJjvylo0LwnrB3rY1AVtveNc/LtbamwvW8obm+/TtLeKJVsbwDQ1NKBkamV7KNvZFZd4VXZgYMH0atnT/Tp3QvOzs6YMnkSrKwscez4CZXpp0yehGHDhsK7fn04ODhg3NhPYG9vjxs3bsjSnDlzFnm5ufhu0SI0atQQNjbW8G3UCO7udfOU3rtSzmuyDgs6vRnNOg5B807DYGXvgT4j5sO0ni1uX9wpSxMXGYwm7QbBzac1zC0d0eK94bB18kZi2fEr9uldZKUlYNCEpbBx9IaNozcGjf8JiVEPERV6vUK+3nRd3Dy3FR1e7N8O9TFwvHRdPKps/z67Fe4N26FDX+n+3aHvZLj5tMGNc/J1MWLmv/BvPxjWDl6wdfLB++OWIjsjEUkxIbI0jdsORKf3p8KtBs/XVJFIJLh5fis6KBy/B5QdvyuL++a5LXBv2A7t+5Ydv/tOhmv5uGdsgH/7wbBy8IJNWdw55eJOiAxG43aD4OrdGmaWjmjWaThsHH2QFF175zCAdD2EXNsK//cmw7VRT5jb1EenocsgKi1C5H3168HK0Q+t+nwF98b9oKml/pyytDgfAXu+QvtBi6Grb1ITIby2Lk11cfpmEe5HCJGULsa204XQ1hKghY/6eLacLMSV+yVISBXjeaYYO84WQiAAvJ3kLQ89WuoiM1eM/84UIiZZhIwcCcLjREjLfjt6nbTy1sDVEDGexEuQmg0cvi6Gthbg6yJQO09SBnA+WIyQWAlEau6DtmuogZwC4OgNMRIzgOx8IPq5BJnq7+u+lVJPX0b4d78j+dDZus7KK5NIJLh9YSva9p4C76Y9YeVQH/0+kdZrobfU78+3L2yBq087tO09GRa2HmjbezJcfNrg9oUtSuk0NDWVzsUMjOtVWFZu1nOc3b0Y/cf9Cg3NSloiq9G7cD1Wl+ct6c+jER95H/1HfwcHNz9Y2rmj3+jvUFKUj4c3jsuW0+K94XD1bglzS0fYuzRC1w9mICcjCVlpCdW2HohIio0nldi9eze8vb3h7e2NUaNGYdOmTZAovCwoOjoaQ4cOxaBBgxAcHIzJkydjwYIFSst4+PAhevXqhcGDB+PBgwfYvXs3rl69imnTplUpD5cvX0aLFqqHbhgwYACsra3Rvn177Nu3T+m7oKAg9OypfGOkV69euH37NkpLq/Y4ilgsxvHjx1G/fn306tUL1tbWaN26NQ4dOiRLc+fOHZSWlir9lr29PXx9fREYGFil36lumanxyMtOhUej9rJpWto6cPVuibiIe2rni4sMhodve6Vpnr4dEBcZ/Eb5KSrIBQQC6BnU7AXM2xZ3TZDGmAZP33Ix+rREbGUxRtyHp69yg4eXX3vZPEJhCRKjQ5SWCwCevu0rXXfl5eWkI/7ZAxiZWGDdjx9j2fQO2LB0NGLC71R5GS8jFJYgIeoxvMrltb5vO8Q8DVY5T+zTYNQvF399vw6IjwqBSKi6PigtLoJIJISBkbzHmGv9ZogMuY7UpGgAQGLME0SH3YWPf6fXD+gVZaXFIz8nFe4NO8imaWnrwLl+S8Q/U7+tEiKDleYBAPeGHREfqXoesViEkJvHUVpSAAf3pirTiIQluHdlN3T1jWHjWLNPd75N+7dQWII7AWVxO/m89nJe9hsJUY9R369cOfdTX85jngajvl+5ct5YfTmXSCR4+igIKUnRaodIEgpLcPfqUbTsPBgCgfqbHNUtK0399lZXZgHp9nZvpLzOPBp1QFxE8CvnITrsJpbPaIc/5/fCkc2LkJ+T/srLeBOlpaV4GhGBZs2U979mTZshNDS0SssQi8UoLCyUDXsKANdv3IBPAx/8vXo1PhoxEpM/+xy7du9W6i1bW96lcl5TdZhQWILEmBCl5QKARyPl47ezVzOEBV9ATuZzSCQSRIVeR3pyNDx8pccFkbAEEAigpXBTWktbFwKBBmKfVt8xHJDv3+7l1oWLd0vEV7Iu4p8Fw72hcpzujTogvpL9u7hA+r5EfcPa6/2tjjxu5eO3S/3K6zVp3MrHb49G6o/fAFBcWDFuJ89mCFcoA9FPriPjeZRSfmpDbmY8CvPS4OAp35aaWjqwdW2JlNiqn3OqE3T0f3Dy7gwHT/UP+tQFC1MBTI008CRaKJsmFAER8UK422tWeTk6WoCmJlBQJL8m9/PQRuxzEcb3N8DSKcaYO8oI7fxq5ybyy5gZAsb6AjxLludXJAZiUiRwtHqz+ra+gwCJGRIMaa+BWR9oYmJvTTT1qL1zFQKyy65L3Mpdlzh5tURCJXVUwrNgpXkAwK1hRySUu5bJTInB3990wJqFXXH435nISo1T+l4iFuPYpq/QuseElw6XVZ3eheuxujxvEQlLyn5PV/a9hoYmNLV01J6TlBQXIPjqAZhZOsKknm3VAyWiKuE7TyqxYcMGjBo1CgDQu3dv5OXl4fz58+jeXTo2+Jo1a+Dt7Y3ly5cDALy9vfHo0SMsWbJEtoz/x95dR0d1/G0Afzbu7u5BAgnu7u6lBQpFihQpVihQaKlCsZa2SCFY0eDB3YNDkBASCCSQkBB3T/b9Y5OV7MYgYfP+eD7n7GnZzL13vjNzZ+7dubJs2TIMGzYM06dPBwC4u7tj9erVaNeuHdauXSvz+CtFwsPD0ajEs7r19PSwcuVKtGrVCioqKvD398fQoUOxdetWcX5jYmJgaSn7jg1LS0vk5+cjPj4e1tbW5cYfGxuL9PR0LFmyBD///DOWLl2KkydPYuDAgbhw4QLatWuHmJgYaGhowNjYWG5bMTEx5W6jWE5ODnJyZO+tzsvVgLqGZilLlC49NQ4AoGsg+wgOXQNTpJRx90d6SrzCZdJT4iqdh2J5eTk4u28F6jXrDS1tvXdeT0XUpLirS3pKPABAz0D2cQV6BqZl3tkjilF2GV0DM/H6MtOSUVhYoHC9aUVpKiIpVnRAe/7Q3+j+6RxYOdRC4LXD2Pz7aEz92R+mVk4VXldpxHk1lK0zPUNTpCUrzmtaSrzC9IUF+chIS4aBsbncMif2rIShsQXc6kquTG3fZxyys9KwYk4vCFRUISwsQLchX8OnZa/3jquiMkpt52ZILasNpCpu58XrKxYbGYItSz9Ffl4ONDR1MHjSPzC3cZNJ8+zhBRzcMBN5uVnQMzTHsBmbFF4JVpVqwv4dEngB+9bPQl5uFvQNzTFy9ibo6huXv+A7yChq5/qK2nkp+6Sidq6voJ1nZabh5yntkZ+fBxUVFQz4YqHcj9HFgu6cQ3ZmGhq3HVAFUVVccf3ovUN9l1xGz8BU3H4qyq1eW9Rp3B1GpjZIio/EhUOrsXXZFxi/aH+V3kVXltTUVBQWFsLYyEjme2NjIyQmVexh7vsPHER2djbatmkj/i46JgZvH7xFhw7t8dPiHxD15g3+WbMWBQUFGD7sw7774GNq59XVh2WmJUFYWABdQ0VpJGXYY9gCHNmyECtntYOKqhoEAgH6fvEzHD1Ex9h2Lj7Q0NTGmb3L0WnQDABCnNm7HEJhYZUfD73P/i0Xp2Hp+7dQKMRpvyWwd28EC1uP98z1+yuOW9H4/S5toOT4XUwoFOKM32+wd5ONu9tn3+HotoVYPaetuA30GvkzHNxLf79QdchKE7XLko/e0tIzRUby+92l/uLhMSS8eYI+k/a+13qqg4GO6JrNtEzZR1ClZQphYlDxH/z7tdFCSnohnr6STMKYGaqgjbcGzt/Nwemb2XC0UsPgDtrIzwduBSv3GVZ62qL/pmfLfp+RDRjqvt+6jfWAxu4C3HgqxLUnBbAxEaBbQxUUFBTiYbjiR31R1Sruf3X0K9evZaTGQ7fkMvqy/Zq1U330GrUUJpZOyEhNQMCJtdi+/FOMXXgU2nqi4+8bpzdARVUNjTqMrKqQKuRjOB9T5nGLmZULDE1tcHbfSvQZtRjqmtq4fmoL0lPikJ4sW1a3zu/Emb3LkZeTCTNrF4ycvUnmQhB6f9IX0NPHi5MnpQgJCcGtW7dw4MABAICamhqGDh2KTZs2iSdPQkJC0KTEy0WbNm0q8++7d+/i+fPn2LFD8k4AoVCIwsJCvHz5ErVrl/2CxqysLLkJFjMzM8yYMUP878aNGyMpKQm///67ePIEgNzVg8U7fUWvKix+xnO/fv3E2/Px8UFAQADWrVuHdu3albqsUCis1NWLv/32GxYvXizz3cDRizB47A/lLvvw+hEc2SZ5Ef3w6esAlBJnOXkSoMTfhaJv30VBfh72rZsJoVCIXp9/X/4ClVRT465KDwKOwH/rD+J/j5ixFoB8OKK2XU6M8gvJx61gvXJpylC8jzXpMBQN2wwEANg41sGLJzdw98oBdC3jXSmVJV/PZe9zitKLvpdPe/GoLwKvH8OEBVtlJjAf3DiB+9eO4tOvlsHSzg3REU9xZPtvMDCyQKO2/d8tkHI8vumP49sl7XzolOL3LsjXZ3lVpbgMZL8ztXLGuIWHkJ2ZipB7p3Fk81yMmL1d5oDd0bMZxi08hKz0JNy/4ocD66dj9Ly9cgfK76Mm7t/OtZth4g8HkZmehHuX9mLv2ukY952f3A+AVUrBfltW3kvGKj7YlfpaU0sXM349gJzsTDwPuoEjO36HqYU9XOvIjt8AcOviAXh6t4GhcfU+Q/rhjSM4KlXfw75eV5TvkvHIfyen5DKiLyuVH6+mPcX/b2HnARsnL/wxpxOePbxY7uO+qpyCY5mKHF9cuHgR23fswPeLFsJIagJGWFgIIyMjfD11KlRVVeHu7o6EhETs27//g0+eiP0PtvMP3YcpTCO13ptn/0Nk2AN8Nm0NDE1tERF6G8f+Www9Q3O41m0JXQMTDJn0B479txg3z/0HgUAF9Zr1grVjHQhUKn5VvCKPbhzBsf8kZfHZtHXiXJfMc3nHHJXpz0/u/AmxkSH4Yu7OymW4ijy6ITt+fzpV8fgtRPnjt9wyZewjJ3f+iNjIUIyaIxv3rXP/IepFID6ZshaGpjZ4FXoHJ3cshp6hBVzKeBzr+woLPIJrh38Q/7vLyLWlpBSW37+XIT05GjeO/oZuozfKXK2sLI1rqeOzztrif689JHpktdxPUAIF35Wic2MNNKqljj/9MpAvdbOgQFD8InnRhXiRcbmwNhNNqHzoyRMvRwF6NZE83GPXpaKMKgjyfX+OEwB4kwhceCg6Z49JEsLcUIhG7ip4GM53HlSHoFv+OLVT0q8N/krUryn63aXc3VnueE22X3P1kvzWYm4L2Lj44N9FXfDoxiE07TwaMRGPcffCNoyad6Da747+GM7HatJxi6qaOoZOXo3Dm7/D0qnNIFBRhUudFnCrJ/+0h+JHK6clxyHg1CbsXTsdY+bvgnoNGAeI/pdw8qQUvr6+yM/Ph62trfg7oVAIdXV1JCUlwdjYWOEJfMlZycLCQkyYMAHTpk2T24aDg0O5+TAzM0NSBa6wbN68OTZu3Cj+t5WVldydH7GxsVBTU4NpBV+KamZmBjU1NdSpU0fm+9q1a+Pq1avi7eTm5orLRHpbLVtW/ERk3rx5mDlT9oflQ3crNmPu6dMBti71xf8uvs0xPSUe+kaSHwIyUhPK/JFPz9AM6amyV3pmpCVAz7DslzIqUpCfh71rZyA5LhKj5myplrtOamLcVa1Wg46wc5XEmF8UY1rJGNMS5a7ElaZnaCZ35WhGWoL4ig8dfSOoqKjKXKVakfWWpG8kuuLX3MZV5ntzGxekJERXeD1lKc5rybtM0lNKz6u+oZnC9CqqatAp8R6DS8c24YL/v/jyW19YO8je+nx813K07zMOPi1EP6xa23sgKf4NLhzZUG2TJ+7eHTHO2Vv87+J2npFasg0kyN1dJE1P6k4j8TKpiXLLqKppwMTCEQBg41QPb8If4fa5bej5ueQllhqaOqI0Fo6wdfHBmu+6IvDaPrTqMeHdAy2hJu7fGpo6MLV0hKmlI+xdfbD62264f2Uf2vSquriL6ZbWzlMT5a7SL6ZvaCZ3tX56qqid60q1cxUVFZhZierY1qk2Yt+8wHn/DXI/KifFReHZ4+sYOf3PKoiobJ7eHWD3vXxfV7K+M9MqUN9y7TxB7q66ytI3soCRqQ0S3ka813oqw8DAACoqKnLHQMnJKXJ3o5R06dJl/PHnasyf9y0aNpB9zIOJiQlU1VShqir5QdzB3h5JSUnIy8uDuvqHe9TL/3I7/1B9mI6+MQQKx2/JevNys3Fu/x/4dMpf8PBuDwCwsvdEzKunCDi1Ca51Rcerbl6t8fXSM8hIS4KKqiq0dQywbHpreJnJv3ewMjx8OsDWWcH+rXAcq5r9++TOnxAaeB4j52xX2uM7PHw6wtZFavzOUzx+Z6aWM34bmiGjRBvITJMfv4GiuB+cx8hvZOPOy83GhYOrMOSrv+Fevz0AwNKuFt6+DsaN077VOnniULsjzO3l94Ws9HjoGEjKITs9Edp6734xQsKbIGRnJMB/zWDxd8LCAsSE30HwjZ0YtfgBVN5zIrAyHoXlITxG8gO+WtGmDXQESM2QnC/rawuQllH+NEKnRhro2lQLf+/PwJt42XeZpGYIEZMg+11MQiF83D/8o7tCo4SISpCKu2geRU9b9u4TXS3R3SfvIy0biE+VLbv4VCFq2Sv/Arj/VW71O8LGSdKv5Uudl0i/rD0zLQG6+qX3a7oGFe/Ximlo6sDMxgNJseEAgNfP7yAjLQFrF3QQpxEWFuDC/qW4c34bJv1yvlKxleVjOB+rScctAGDj5IVJiw8hOzMNBfl50DUwwYafPoGNk5fMclo6+tDS0YeppRPsXL2xdEozPL17BvWa965kCRBRWfjOEwXy8/Oxbds2rFixAoGBgeLPgwcP4OjoKL6LpFatWrh9+7bMsnfu3JH5d8OGDREUFAQ3Nze5j/QL3kvToEEDPHnypNx09+/fl3kUV4sWLXDmjOxL106fPo3GjRtX+IcBDQ0NNGnSBCEhsi/eCg0NhaOjaDBr1KgR1NXVZbYVHR2Nx48fV2ryRFNTEwYGBjKfij6yS1NbT/yDnqmlI8xt3KBnaI6wJ5J3ruTn5yI85Dbs3RQ/KxMA7F19EBYk+56WsMfXYO/qU+E4AMnESUJsBEbO3gwdvep5rE1Ni7s6aGrrysRoYeMGPUMzmfzm5+ci/OltOJQVo5s3npeI8fnjAPEyamoasHGqK18OQQFlll1JRma20DeyQHz0S5nv42MiYGRmU+H1lEVNTQO2znXw7LFsXp89DoCju4/CZRzcfRSkvwY757pQVZP0B5eO+uLcoXUYM+df2Ll4lVwN8nKzIBDIDhsqKioQCqvvhZyaWnowsXAUf8ys3aBrYI6XT66J0xTk5+JV6G3YlfIsXACwdfXBy+BrMt+9eHIVdq7l1a9QfPBcehKh+EehqvL/Yf8WQoj8Ko67WGntPPRR6e3c0d0HoY9Kppdv5yUJhULxya+025cPQs/QBLUblH6XZVXR1NaDiaWj+FNc3y+k6rugqL7LarP2rj4yywDAi6BrsHfzea/8ZaYnISUxWjxB/CGoq6vD3c0N9+/LPlf6/v37Zd61e+HiRaxYtQpzv/kGzUrcDQwAderUwZs30eK7awEgKioKJiYmH3TiBPjfbucfqg9TU9OAjWNdmfUCsuN3QUE+CgvyKjx+6eobQ1vHAC+CbyAjLQGePh3k0lSGppbi/ftlkOz+HRFyG3ZllIWdiw9elty/n1yDndT+LRQKcWLHj3h67wxGzN4CY/P3m/h5H3Ljt7hfkx2/I0LL7tfsXHxklgHkx2+hUIiTO39EyP3T+HzWVhib28ukLxS3gRJX/qqoVvvjONQ1dWFg6ij+GFm4QVvPDFHPZes/Jvw2LBwqfsxZko1rCwyYdhj9pxwQf8xsveDq3Rv9pxz4oBMnAJCTB8QnF4o/MQmFSEkvRC1HybWbqiqAm50aXrwp+y6JTo010L25FtYczMCrt/JpX7zJh4Wx7P5tYayCxNQP/8L43HwgKV3yiUsF0rKEcLaStD0VFcDRQoDIuPdre5FxQpjqy7ZpE30BUjLea7VUBk0tPRhbOIo/xecl4cGy/drrZ7dhW0a/ZuviI7MMALx8crXU93oAQH5eLhJiwqBnKDoW82rWD2MW+GP0/EPij56hBZp2GYtPpm4sdT3v4mM4H6tJxy3StHT0oWtggoS34XgT/hieDTqWGYcQio/3iOj98M4TBY4ePYqkpCSMHTsWhoayL1gcPHgwfH19MWXKFEyYMAErV67E3LlzMXbsWAQGBmLLli0AJLf3zZ07F82bN8fkyZPx5ZdfQldXF8HBwThz5gz++uuvcvPSrVs3jBs3DgUFBeKrJLdu3Qp1dXU0aNAAKioqOHLkCFavXo2lS5eKl5s4cSL+/vtvzJw5E19++SWuX78OX19f7Nq1q1Jl8c0332Do0KFo27YtOnTogJMnT+LIkSO4ePEiAMDQ0BBjx47FrFmzYGpqChMTE8yePRv16tUTP97sQxMIBGjeZSSuHF0PUwvRieqVY+uhrqGFes0kM/AHNsyFgbEFOg+eBQBo1uVzbF7yOa4e3wDPBp0Qcv8cXgRfx5hvJY9cy8nOQGLsK/G/k+MjEf0qGNq6hjAytUFBQT781nyN6IgnGPb1OhQKC5BWdMeDtq5htT5/UplxA0BmejJSEqORlhwLAEiIEU0g6BmaQd+wan5wEwgEaNF1JC4f+Vd8YHPp6L9Q19RCfamrK/b9OxcGxpbix2S16DISvr99jsvHNqB2g04Ivn8OYU+uY9z87eJlWnYbhf3/fgsbJy/Yu/ngzkU/pCREo2mHoeI0menJSEmQxBgvHaOROQQCAVr3GIPzh/6GlUMtWDvUwv2rhxAf/QKfTfmjSsoAANr0+AJ71s6FnUtdOLj54NaFvUhOiEbzTqK8ntizEqlJsRg6cQkAoHnHoQg4sxNHti9F0w6D8ep5IG5f3I/PJi8Xr/PiUV+c3rcan321DCZmNkgrep6qhpYONLVED2Wu3aADzh9eDyNTa1jaueFNeDCunNiKxu0GVlls5REIBGjaeSSunVgPY0snmFg4IuCEqJ3XlWrn/pvmQN/IEh0Gitp5004jsW3ZCASc/Bce3p0Q+uAcwoOvY6TUYz0uHFwJV6+2MDC2Qm52BoJuH0dEyC18+rXoBCQ3JxPXjq+Dh3dH6BmaIzM9GXcv7URqUgxqN+5e7XEra//OzcnE5aPr4OnTEfqG5sjMSMbt87uQmhiDuk2qL+62Pb7A7rVzYedcF47uPrh5XtTOWxS18+O7VyIlKRafTRK18xadhuLamZ3w374UzToMRsQzUTsfNkXSzs8fFk0MmlraoyA/D8GBl3H3qj8Gjl4ks+3CwkLcvnQQjdv0h6rqhz9UEggEaNZ5JK4cWw8TS0eYWjjiynH5+j64cS70jS3QeVBRfXf+HJuXiuq7VoNOeFpU36Ol6ju3RH0nxUcipqi+DU1tkJudgYuH/0btRl2hb2SO5PgonDuwCjr6xqjV4MOO6wMHDMCyFSvg7u6O2rVq4cTJk4iNi0OvnqK73zZt3oKEhAR8M1sU/4WLF7F8xUpMnDAetWp5IjExEYDoAg1dXVE/1rtXT/gfOYJ169ejb5++iHoThd1+fujXt88Hja3Yx9LOq7MPa9HtCxzYMFc0frv64O4lP6QkRqNx+08BAFraenD0bILTe5dBTUMTRqa2CA+5hQcBh9Ht02/F67l/ZT/MbFyhq2+C12GBOLnzF7ToMgpm1i5VXhZNO4/E1ePrxRMqV4vKwkuqLA75zoW+kQU6Fe3fTTt/jq2/f45rJzbA06cTQgLP4WXwdXwxV1IWJ3b8iMc3j2LolH+gqaUrvutWU1sf6hqixwBnlXG8pldFx2ulxt1pJK4dXw8TCyeYWDri2nH5uA/7zoG+sSU6Fo3fTYrH7xP/wsOnE0KL4pZ+LNfJnYvx+OZRfDJ5DTQUxK2prQcHj6Y4t28Z1DS0YGhig1eht/Ho+iF0+eRbfEgCgQB1W43Ew0v/wsDUEYZmjnhw8V+oqmvB1VtSDpf2zoWugSUadxMdyxbk5yI5Nkz0/wV5yEiNRcKbYKhr6sDA1BHqmrowtpR9t42ahjY0dYzkvleWC/dz0LWpFmKTCxGXVIhuzTSRly/EnaeSH/o+766NlPRC+F8VPYKrc2MN9Gqpha0nMpGQUgh9HdE5dk6eELlFT+Q6fzcXsz7VRdemmrgXmgcnK1W0qq+BXWeyPniMitwKKUTrOipITCtEYpoQreuoIC8feBwhmTzp11wFaVnA+QeiCR8VFcDcQPQ3VRXRHTqWRkLx5AwA3AgpxOguqmhVR4Anr4SwNRWgoZsAx259+Emj96GqqwNdN8kTOXSc7WDgXQu5iSnIfl01d+5XF4FAgMYdR+L6yfUwtnCCsbkjrp8U9Wu1m0j256NbROcl7fqL+rVGHUZi58oRuHHqX7h7d8KzB+cQ8fQ6hs+W9Gvn9y+FW70OMDCxRmZaIgJOrEVudjq8moveT6atZyx+90kxFVV16BqYwdSqasctRXH/r5+PKfO4BQCCbp+Ejr4xDE1sEBsVihM7f0Gthp3g5tUaAJAY+xpBt4/DtW4r6OibIC3pLa6e2Ah1dU2416/+C7+IPjacPFHA19cXnTt3lps4AYBBgwbh119/xb1799CwYUPs27cPs2bNwp9//okWLVpgwYIFmDRpEjQ1RXdN1K9fH5cuXcKCBQvQpk0bCIVCuLq6YujQoXLrVqRnz55QV1fH2bNn0a1bN/H3P//8MyIiIqCqqgoPDw9s2rRJ5n0nzs7OOH78OGbMmIF//vkHNjY2WL16NQYNGiROc/HiRXTo0AEvX76Ek5OTwu0PGDAA69atw2+//YZp06bB09MT+/fvR+vWrcVpVq1aBTU1NXzyySfIyspCp06dsGXLFplHYnxorXqMQ15uNo5t/xFZGSmwc6mPz2f5QlPq8VkpiW8gUJFcrePg1hCDJ67A+QN/4vzB1TCxsMfgiSth5yq5RfVN+GNs/X2U+N+ndot+zPBu1R8Dxi5BalIMQgJFt8iu+6G/TJ5GzdkK51rNqiNcMWXFDQAhgedxeNN8cZp960Qne+36TkaH/lOrLMY2PcchPzcHR7b9iOyMVNi51seo2RuhqS1562JKQjRUpK4wdXBvgCGTVuDc/j9x/sBfMLawxyeTVsBeKsZ6zXoiMz0ZFw+vQVpKHCxt3fH5zHUwMpM8uu/p/Qs46CuJ0W+t6CCpQ7/J6DhgCgDRJEx+Xi5O7FqCrPQUWDl44otvfGFiUf5j+irKu3kPZKYl49zBtUhNjoOVnTtGf7MexkV5TUuOR3K85GTDxMIOY2avw5HtS3D97E4YGFug78j5qNdU8u6CG2d3oSA/D9tXT5fZVucBX6HLIFFs/UYuwKl9q3Foy49IT02EgbEFmnX8BJ0GTKqy2CqiRbcvkZ+bg5M7FiM7MwW2zt74bPomaGpJt/NomauM7VwbYsCXK3Hp0B+4dHg1jM3tMWD8KplHimSkxsN/0xykp8RCU1sfFrae+PTrjXCp0woAoKKiioSYF9h3/SCy0pOgrWsEa6d6GDlnB8xt3Ks9bmXt3wIVVcRHv8SDa9OQWRS3rXM9jJm3Axa21Re3T4seyExPxlmpdj72m/UwNhe189TkeCQnyLbzsd+I2nnAGVE77zdyPupLtfPcnCwc3PwjkhPfQl1DExY2Lvhs0lL4tOghs+1nj68jOSEaTT7gxGBJrXqMQ35eNo5L1/dMBfUtdSW1vVtDDJ6wAucP/okLh4rqe8JK2LmUqO9lkvo+vaeovlv2R/+i+o6NCsWD64eRnZkGfUNzONVqisETV8ls+0No164tUtNSsWPnLiQlJsLRyRE/LV4MS0vR4xMSkxIRGyd5JOPxEydRUFCAf9asxT9rJO8V6Ny5E2YXPRrU3Nwcv/z8E/79dwMmTZ4MM1NT9O/XF0MGD4YyfEztvLr6MK+movH7kv8/SE+Jg4WtO4ZPXy8zfg+euBLn9q3EgX+/QVZGCgxNbdBx4HSZHyriY8Jxdv8qZGWkwMjMBm16T0SLrl9US1m07D4O+bnZOLFDVBa2LvUxfKavzDiWmiC/fw8cvwIXD/2Ji4dE49jA8StlxrG7F0UXSW1bJvvy4L6jf4V3K1E9hz44D//NkmOZA/+K9o22fSajXb+qO15TpEX3L5GXl4OTOxcXxe2NYTPKHr9Fca/ExUN/4OLh4rhXKYz7v+Wfy2yvzxe/ieMeOH4lzh9YicMbZ4vbQPv+M9Cw3WfVGbJC9dqMQ35eDq77/4jc7FSY29VH99Eboa4pOZbNSJEth8y0OBz+R7KvPr66CY+vboKVcxP0HLftg+b/XZ29nQsNNQGGdtSGjpYA4TEF+Ht/BnKkXktioq8C6ZuB2nhrQl1NgHF9ZN+ufvx6No5fF02wvHpbgA3+mejbRgs9mmsiIaUQ+y9m4c5T5b4svlhAsBBqqkL0aKwCbQ0gKgHYcbEAuZJ33sNARyBzF5S+NjC+h+Snmpa1BWhZWwXhb4X477zo7pvoRGDvlUJ09FZBWy8gOR04fa9QZlLm/wPDRl5oce4/8b/rLBf1T6+3HcDDsfOUla0Ka9b1S+Tn5eD0LtF5iY2zNz6ZKtuvpSo4L+k7diWu+P+BK0dWw8jcHn3HrYKN1KOx0pJicGTTTGSmJ0NHzxg2zj74fI4fDE1tURN8DOdjyjxuSUuOxandS5CemgB9I3N4t+iHtn0l59xq6hqICL2LG2e2ISsjFXoGpnD0bIyx83dV7/soiT5SAmF136v8kfnll1+wbt06vH79usrWuWbNGhw+fBinTp2qsnUCwJYtW/DLL7/gyZMnH+RRFVu2bMH06dORnJxcofS7rrFpfkxUVT7O+tZQ+zjjTs1U3uSqMql/pPWtq/n/6yrIqpKe/XE+HbWFdZiys6AUj5KclZ0FpcjI+TjbecHH2a1BKPw436fwJvbjrPDXr9KUnQWlsLTWLT/R/6CGI+sqOwtK8fZUSPmJ/gepfZynYx/t+dhnrT7O8ft9zfg7XdlZ+H9n1ZQPe8Hdh8A7T97TmjVr0KRJE5iamuLatWtYtmwZpkyZUqXbGD9+PJKSkpCWlgZ9ff0qW+/Jkyfx66+/fpCJEz09PeTn50NLS6vat0VERERERERERERE9D44efKenj17hp9//hmJiYlwcHDArFmzMG9exW4vvXLlCnr06FHq39PTRTOcampqWLBgQZXkV9ru3burfJ2lCQwMBAClPsqLiIiIiIiIiIiIiKgiOHnynlatWoVVq1a907KNGzcWTyr8r3Nzc1N2FoiIiIiIiIiIiIiIKoSTJ0qkra3NSQUiIiIiIiIiIiIiohrm43zDIxERERERERERERERUSl45wkRERERERERERERURGhUNk5oJqAd54QERERERERERERERFJ4eQJERERERERERERERGRFE6eEBERERERERERERERSeHkCRERERERERERERERkRROnhAREREREREREREREUlRU3YGiIiIiIiIiIiIiIhqCmGhUNlZoBqAd54QERERERERERERERFJ4eQJERERERERERERERGRFE6eEBERERERERERERERSeHkCRERERERERERERERkRROnhAREREREREREREREUlRU3YGiIiIiIiIiIiIiIhqikKhUNlZoBqAd54QERERERERERERERFJ4eQJERERERERERERERGRFE6eEBERERERERERERERSeHkCRERERERERERERERkRROnhAREREREREREREREUlRU3YGiIiIiIiIiIiIiIhqCmGhUNlZoBqAd54QERERERERERERERFJ4eQJERERERERERERERGRFE6eEBERERERERERERERSeHkCRERERERERERERERkRROnhAREREREREREREREUlRU3YGiIiIiIiIiIiIiIhqCmGhUNlZoBqAd54QERERERERERERERFJ4eQJERERERERERERERGRFE6eEBERERERERERERERSeE7T6jGUlXhswU/JgWFAmVnQSnyCpSdA+XQUP84928VwccZt75mrrKzoBSZuVrKzoJSBKc4KjsLSpGZ+3Fek6Su9nH2ax9p2MjLV3YOlENP9+Pcvy2tdZWdBaUwMlBVdhaU4u2pEGVnQSksu3kqOwtKkXT+qbKzoBSCj/NnByJ6Dx/nUSAREREREREREREREVEpeOcJEREREREREREREVGRwo/0TmOSxTtPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIikqCk7A0RERERERERERERENYWwUKjsLFANwDtPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIikqCk7A0RERERERERERERENYVQKFR2FqgG4J0nREREREREREREREREUjh5QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJERERERERERERERCSFkydERERERERERERERERS1JSdASIiIiIiIiIiIiKimqKwUKjsLFANwDtPiIiIiIiIiIiIiIiIpHDyhIiIiIiIiIiIiIiISAonT4iIiIiIiIiIiIiIiKRw8oSIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIikqCk7A0RERERERERERERENYVQKFR2FqgG4J0nREREREREREREREREUjh5QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJERERERERERERERCSFkydERERERERERERERERS1JSdASpfSEgI2rVrh2fPnkFfX1/Z2XknAoEAAGBoaIjk5GTlZoaIiIiIiIiIiIioFMJCobKzQDUAJ0/KERAQgDZt2qBLly44efKkUvKwYMECTJ48WWbiRCgUYsWKFfj3338REREBCwsLTJo0CfPnzxenuXTpEmbOnImgoCDY2Nhgzpw5mDhxYqW2XTzpUdLvv/+Ob775BgCQk5OD2bNnY9euXcjKykKnTp2wZs0a2NnZidNHR0djz549+P777yu1/YoQCoW4cOgf3Lnkh6yMVNi51EfvkQthaete5nJBt0/j3MHVSIx9BRMLB3Qe9DXqNOoik+bmuZ24emIT0pPjYGHrhh7D5sHJszEAoCA/D2cP/InQh5eRFBsJLR09uNRpga5DZsHA2EJmPa+e38fZ/X8iMuwhVFXVYOVQCyNn/Qt1Da13jrusvCny8uktnNy1FLFRz6FvbIHWPcaiacdPK1Um4SG3cfX4JryJCEJachw+m/oX6jTqLLOO8wf/xqObx5GSGANVNXXYONVB50HTYe/q/c6xVpZQKMTFw3/j7iU/ZGemwtalPnqNWASLctrEkzuncP7gaiTFvYKxuQM6DZyO2iXiDzjpizfhQUhPicPQKX+jdsPOZayx6tw8txNXjm9CekocLGzc0HN4+fV9YudSxL55Dn0jC7Tpqbi+zx6Q1HeXQV+jTmPZfSA18S1O+a1A6MPLyM/LgamVEwaM+Rm2znUBADnZGTjttxLB984hMz0Zxma2aN5lBJp1+qxK4pauy+L9u9fnFa/L4thK1iUA3Dq/E9dO+CI9OQ7mtm7oMWw+HD0kZfr96FoK193lk2/QusdYZKYn48KhvxAWdA2piTHQ0TNGrYad0HHA19DSeb+JbmX1awAQdOc07lz0w5vwIGSmJ+OrxQdg7VhbZh2Jsa9wcvfviHh2DwV5uXCr1wa9RyyAnqHZe8Vd0sWTe3DGfytSkuJhY++KIV98A/c6DUtNHxp0B/u2rsCb12EwMjZH135foG23IeK/F+Tn4eTBTbh+8QiSE2NhaeOEgSO+Rt0GrcRpLp3yw+VTe5EQ9wYAYG3vil6Dx8OrYesqjU2aMtt5TnYGzu5dgaf3RfuwkZktmnX+HE07ivbh6mznJV09vRsXjm5GanIcrOzc0H/kXLjWalRq+udPbuPw9mWIiXwOA2MLdOw9Gq26DJXEfukQdq37Tm6537fehbqGJgAgLPgOzh/djMgXT5CaHIcxM/9EvSadqjSukpRZ3xcO/YXHMmN0XXQaOB12UmN0YuwrnNrzO16F3kVBvmj/7jn8uyrfvxW5cXYnrh7fhLQUUf/UqwJj3fGdRcc2RhZo02ssmkmNdW8jn+Hcgb8QFR6E5Pg36DnsW7TqPqra45CmjPH75rlduHV+N5LjowAAFrZu6NDvK3h4txWnqe7xWxGhUIhL/rLHZz2HV6ztXzgkOT7rOHA6ajeUxBsRchsBp6SOzyb/jVoljs9yszNwdr+or8sq6uuadvocTTpUX7zFhEIhbp78G0HX9yA7KxVWDt5oP3gRTK3Ljvv5g1O4fvxPpMS/gqGZA1r2mgHX+pK4CwvycfPkXwi5ewQZafHQNTBH7SYD0LTrVxCoiB4wkZkWj2v+y/Eq5CpystJg49oY7QcthJG5U3WGXKq2Xipo6CqAlgYQlQCcvFOAuNTS05sbAO3qq8DaWAAjPQFO3SvArRDZH7Km9lGFkZ78Oevt0EKcvFtY1SFUCaFQiFun/kbQDT/kZKbC0rE+2g1aBFOr0ttEQswz3DyxGnGRQUhLeoPW/ebBp92H7c/KIhQKce3Y33hwdQ+yM1Nh7eSNLp8ugrlN2e085N4pXDnyJ5LjX8HIzAFt+82Ah4+knV89+heuHftbZhldAzNMWXpN4fpO7liEB1f3oOPgeWjS6Yv3jqu6mLRuDJdZY2HY0AtaNha4M+grvPU/p+xsvTOhUIjL/n/j3uWi/t25PrpXoH8PvnsKF6X69w4DpqOWVP9+9fh6PL13BgnRL6CmoQU71wboNHgWzKxcqjskpR6vHdz4LQKvHZJZxs7FG18u3CP+tzKP14g+NnxsVzk2bdqEqVOn4urVq3j16tUH335kZCT8/f0xevRome+//vprbNy4EcuXL8fTp09x5MgRNG3aVPz3ly9fomfPnmjTpg3u37+P+fPnY9q0adi/f3+lth8dHS3z2bRpEwQCAQYNGiROM336dBw8eBC7d+/G1atXkZ6ejt69e6OgoECcxsrKCoaGhu9YCmW7cnwjAk5tQa8R32Hi937QMzTD1mVjkZOVUeoyr57fh9/amfBu2ReTfzwE75Z9sWfNTLwOeyBO8+jmcZzYuQTt+kzApB8PwNGjEf5bOQHJCaIf1PJysxEd8QTt+07CpMX78dmU1UiICceOP7+S29a2FePhVrcVJny/BxO/90OzzsMhELz77lde3kpKiovEfysnwtGjESb9eABte4/H8R2/Iuj26UqVSW5OFqwcPNFrhPyPUcVMrZzQ+/PvMOXnwxi3YDuMzWyxdfk4ZKQmvnO8lXXtxEZcP70FPUcsxJcL90LP0Bzblo9BTlZ6qcu8fn4fe9eJ4p+4+DC8W/bF3nUzECkVf15OFizta6HniIUfIgyxRzeP4/iOJWjfZwK++vEAHD0bYduK0us7MS4S21ZMhKNnI3z14wG06z0ex7bL1/eeNTPh07Ivpvx0CD4t+2J3ifrOykjBv78Mg4qqGkbN+hfTfj2KHp/OkfnB9PjOJXj26CoGT/gdX/92DC27jcKx7b8g+F7VHPxfPb4R109tQc/hCzF+USXqcu1M1G/RF5N+PIz6LfrCb61sXT6+eRwnd/6Gtr0nYuLig3D0aIztK8fLlOnsP67IfPqP+QUCgQB1GnUFAKQlxyItORbdhs7BVz/5o//Y3/D80RUc3rzgveNWVr8GiNq5g3sDdBkyU+F2cnMysWXZOEAgwOg5WzBuwU4U5Odh+x9fobCw6n6kuHPtFPZuWYYeA8dhwbLdcKvdAH//OhmJcdEK08e/jcLfv06BW+0GWLBsN7oPHIs9m5fi3o2z4jSHd/2Dy2f2YejYufj+jwNo23Uw1i2biVcvnorTGJtaov+IaZi3dCfmLd0JT68mWPv7dLx5/bzKYitJme385K4leP74KgaO/x1Tfj2GFl1H4cSOn/G0aB+uznYu7f71Ezi0bQm69P8Ss3/bCxfPhvh3yUQkxSuu74TYSGz4/Su4eDbE7N/2oku/cTi49Tc8uHlGJp2Wth4Wr70o8ymeOAFE45qtgycGjZ5fchPVRpn1bWrphJ4jFuKrn/wxdv4OGJnaYtuKseIxOjcnE9uWj4UAAnwxZwvGzhft3zv/nFSl+7ciD2+Ixrp2fSdg8o8H4OTRCFuXT0ByfOlj3dblE+Hk0QiTfzyAdn3G49h/v+Kx1FiXl5sNY3N7dPtkplJ+TFDW+G1oYoWun8zEpMV7MWnxXrjUaY4df07B28hn4jTVPX4rIj4+G74QX363F3oG5vhvRfltf996Uduf+IOo7e9bNwORL6SOT3OzYGlXCz2Hl358dnJ3UV837ndM/vkYmncZhRM7f8bT+9X/Y+Xdcxtw/+JmtBu0CJ/O3AcdAzMcWjsaudmlxx398j5ObJ2BWo37Ydicw6jVuB9ObJmOmPAHMut9FLAb7QYtwuffHkerPt/g3gVfPLjyHwDRD39HN05GSsJr9B63Bp/NPggDY1scXDMaeTmZ1R53SS1rC9C8lgAn7xbC93QBMrKFGN5BFRplXM6ppgYkpQPnHxQiLUvx1b++pwuw8mC++LP9vOgcNPh1zb1a+N75jQi8tAXtBi7EJzP2QlffHIfXjSmzTeTnZsPQ1B4tes+Cjr75B8xtxdw8vQG3z21G56GLMHLuPugamMFv9WjklBFT1Iv7OOw7A3Wb9cPoBYdRt1k/HN4wHW9ePpBJZ2btjslLroo/Y747onB9oYFnER3+AHqGFgr/XpOo6uog9WEIgr7+UdlZqRIBJzfixpkt6D5sIcZ+txe6hubYsXJMmfUfGXYf+9fPRL0WfTH++8Oo16Iv9q+fgSip/v1VyG006TAMo+fvwfCZmyAszMfOleOQ+wH6MGUerwGAW702Mueiw2esF/9NmcdrRB8jTp6UISMjA35+fpg0aRJ69+6NLVu2yKXx9/eHu7s7tLW10aFDB2zduhUCgUDm0VQBAQFo27YttLW1YW9vj2nTpiEjo/QfwKT5+fnB29tb5i6O4OBgrF27FocPH0bfvn3h7OwMHx8fdO4sucJq3bp1cHBwwB9//IHatWtj3LhxGDNmDJYvX16pMrCyspL5HD58GB06dICLi2imPyUlBb6+vlixYgU6d+6MBg0aYPv27Xj06BHOnj1bztrfn1AoxPXT29C2zwTUbdwVlnYeGPTlEuTlZOPhjaOlLnf99Da41m2Jdr3Hw9zGBe16j4dL7ea4fnqbOE3Aqa1o2HYgGrcbAgsbV/QcPh8GJla4dX43AEBLRx9ffLMJ9Zr2gLm1M+zdfNBrxHd4Ex4kM/Cd2LkEzTuPQNveX8LS1h2mVk7watINauoa7xx3eXkr6daF3TA0tUbP4fNhYeOKxu2GoGGbgbh2clOlysSjflt0HjQddRt3LTVv3i16w7VuS5hY2MPS1h3dP/sWOVnpiIkMeed4K0MoFOLGmW1o23si6jQStYkBY5cgLzcbj26W3iZunNkG1zot0abXBJhbu6BNrwlwrt0cN85sFadxr98WnQZOF/94/qFcO7kVjdoOROP2ovruNXw+DE2scOuc4vq+fX43jEyt0au4vtsPQcO2A3H1hKS+A04V1XefovruMx6udZoj4JSkvi8f2whDE2sM+vJX2LnWh7G5LVzrtoCppYM4zevngWjQuh9cajeFsbktmnT4BFb2noh6+fi94y6uyza9J6JO0f49YFzF9m+Xui3RtreoLtv2niBqy1J1GXB6Cxq0HYRG7YbA3MYVPYaJ9qHb53eJ0+gbmst8nt4/D6dazWBiYQ8AsLTzwKdT/oKnT0eYWDjApU5zdBo0AyGBF1BQkP9ecSurXwMAn1b90KHfZLjWaalwO6+e3UdyfBQGjvsNVvYesLL3wMBxvyDq5SO8DL7xznGXdPbIf2jVcQBadx4IazsXfDJ6DoxNrXDp9F6F6S+f3gsTM2t8MnoOrO1c0LrzQLTs0B9n/CXx37x8DD0GjEW9hm1gbmmHdt0+QR3vFjh7RJKmfuN2qNewDSxtHGFp44j+w6ZCU0sHL0MfVVls0pTdziPDAuHdqj+cazWDsZkdGrcfCkt7T0SFi/bh6mrnJV08tg3NOgxE846DYWnrigGjvoWRqRWunVHczwWc9YORqRUGjPoWlrauaN5xMJq2H4ALx7bIJhQIYGBkJvORVtunDXoOnYb6TWWvCKwuyq7v+i36iMdoC1t3dCsao98WjdGvnt1DcnwU+o/7DZb2nrC090T/sb9W+f6tyLWTW9Go3UA0aT8EFrau6DVCNNbdLO3YpnisGzEfFrauaFI81h2XjHV2LvXQ47NvUL95r/c67npXyhq/azXoAE/vdjCzcoaZlTO6DJ4ODS0dmQmW6hy/FREKhbh5dhva9JqI2o26wsLOA/0rcHx286zk+MxM6vjspvTxWb22ortRyjg+iwwLhHfL/nCq1QxGZnZo1G4orOw98Sa8euItJhQKEXh5G5p0mQg3764wtfZAl+FLkZebjZC7pccdeGkrHDxaokmXCTCxdEWTLhNg59EcgZckcUeHB8LFqxOc67aHgakd3H26w8GzNd6+FsWUHBeOmIhAdBjyAywd6sPY0gXth3yPvJxMhNw7Vq1xK9LUUwVXgwrxNFKIuBTg8I1CqKsBXo6Kn3QAANGJwLnAQgS9EkLqujwZmTlARrbk424rQGKaEBGxNXPyRCgU4sHlbWjceSJc64vaROdhS5Cfm43Qe6W3CUuHemjVdw48GvSCqpr6B8xx+YRCIe6c34YW3SfCs0FXmNt6oNcoUTsPvl16THfOb4VTrZZo0X0CTK1c0aL7BDjWao4757fKpFNRVYWeobn4o6NvIreutOS3OLPnR/QevRwqqjWrfBSJO3UZod//gZhDZ8pPXMMJhULcOrsNrYv7d1sP9Bsj6t8fl9W/n9kGlzot0bqnqH9v3XMCnGs1x82zkvofNmMjvFsNhIWtO6zsa6HP6N+QkvgG0RFB1R6TMo/XAEBNTUPmXFRHz0j8N2UerxF9jDh5UoY9e/bA09MTnp6eGDFiBDZv3gyhUHIQFh4ejsGDB6N///4IDAzEhAkTsGCB7JWYjx49Qrdu3TBw4EA8fPgQe/bswdWrVzFlypQK5eHy5cto3Fj21v4jR47AxcUFR48ehbOzM5ycnDBu3DgkJkqu7L9+/Tq6dpU9gejWrRvu3LmDvLy8yhYFAODt27c4duwYxo4dK/7u7t27yMvLk9mWjY0NvLy8EBAQ8E7bqYykuEikp8TDzUvyyBU1dQ041WqCV8/vl7rc6+cP4OYl+8Oge71W4mXy83PxJjxIZr0A4ObVCq/LWG9OVhoEAgG0dAwAAOmpCYh88RB6Bqb49+fPsGRaa/j+9jkiQu9WOtZi75K3188D5dPXa4Wo8CAU5OcVpSm7TN41r3cu+kFLWx9W9oofgVTVRG0iDq51S7QJzyZl1t3rsEC4ypVpa7wOC6yurFZIWfVdWt28UlDf7l7l13fJdT69fwG2TnWx6+/p+G1KK/yzcCBuX/STWcbRoxGe3r+A1MS3EAqFeBF8E/Fvw+FW7/0fcVRclyX3b8dy6jIyLFCm/gHA1as1Xj8PBCAq0+jwILiVTFO3FV6HKV5veko8Qh9eQsM2gxT+vVh2Zho0tfSgqvruT8Wsaf1aSfl5uRAIBFBTk/wQqaauCYFABRGh9yq8nrK3kYdXL4JR27uFzPe1vZvjRcgDhcu8CH2I2t7NZb6r49MSEWFPxO0+Py9X5q4DAFDX0MLzp4rjLywowO2rJ5GbnQVnj/rvGk6ZlN3OHdwbIuT+eaQmifbhl8E3kPA2HG5epe/DVdHOpeXn5yHy5RN41pdtv571WyI8VHF9hz97IJe+lncrvH4h6ecAIDc7Ez9O7YIfJnfCht+/QuTL4CrJ87tSdn1Ly8/Pxd2Le6ClrQ/LojG6IL/0/fvVs3c/dilPqf1TvVZ49ayMY5t6Jca6Esc2yqTM8VtaYWEBHt44htycTDi4+Yi/r87xW5Hk+NKPzyJLaaOA6PjMRa5dS9p+RTm4N0RooFRf9/QGEmLK7uuqQmpCJDJT4+BQS7IdNTUN2Lo1QXR46XFHhwfKLAMAjrXayCxj49IIr0NvICn2JQAgLuop3ry4C6fa7QCI9mcAUFWXjHsqKqpQUVNH9Ivq258VMdIF9LUFeBEjOZcuKAQiYoWwMy998qSyVFSAek4CBL6ouVdepyZGIjMtDg6eknatqqYBW9ey20RNlhIfiYzUODjXkWrn6hqwd2+CqDL276gXgTLLAIBznTaIeiG7TFJsBP75tjXWfdcRhzfOQHLca5m/CwsLcXTzN2jWZWy5jwmjqlfcv7vUlT+2iSzr2OZFIFzqyPbvLnVbI7KM/j0nMw0AoK1bPU81KVYTjtfCn97C79NaYvW33XB480KkpyaI/6as4zWijxXfeVIGX19fjBgxAgDQvXt3pKen49y5c+I7PNatWwdPT08sW7YMAODp6YnHjx/jl19+Ea9j2bJlGDZsGKZPnw4AcHd3x+rVq9GuXTusXbsWWlplv/MiPDwcjRrJPu/7xYsXiIiIwN69e7Ft2zYUFBRgxowZGDx4MM6fPw8AiImJgaWlpcxylpaWyM/PR3x8PKytrStdHlu3boW+vj4GDhwo/i4mJgYaGhowNjaW21ZMTEyF152Tk4OcnByZ7/Jy1eV+5CopPSUeAKBnIHslqZ6BaamPRCheTrfEMroGZuL1ZaYlo7CwQOF604rSlJSXm4PTe1eiXvPe0NLWAwAkxYoO7M4f+hvdP50DK4daCLx2GJt/H42pP/vD1MqpzPgUeZe8pafEQ8/AtER6MxQW5CMzPQn6RhbllkllhARegN/a2cjLzYKeoTlGfeMLXX3j8hesAumpcQAA3RLx6hqYIqXcNiG/THpKXNVnshLE9V3icSO6hqal1k16Sjx0DUvUt6F8fZdcp56hbH0nxb3GrQu70bLbF2jXZzwiXzzCse2/Qk1NAw1a9wcA9BoxH4c2LcLvM9pDRVUNAoEA/cf8BCeP0t9TUFHFZV+yXvQMTUt9jItoOUXtXVKXmWlJKCwsULje9MeKyzTw2iFoaumidhl3XWWmJ+HSkbVo3H5oqWkqoib1a4rYu3pDXVMbp/2Wo/PgGQCEOO23AkJhIdKqaH9JL6ojA0PZKwsNDE2Rmqw4r6nJ8TAwbFkivQkKC/KRnpYMQ2Nz1PFpgbNH/oNbnYYwt7TH00c38eD2RQgLZS9njYp4ht8XjERebi40tbQxYc5K2Ni7VklsJSm7nfcYvgD+mxdixcx24n243+if4VjKPlxV7VxaRqoor/ol+i19Q1OkltI205LjFaaXrm8LG2d8NvFnWDu4IzsrA5dPbMfqHz7HN0v2w9zascryXxnKrm9ANEbvWzdLPEaPnL1JPEbbufhAXVMbZ/YuR6dBov37jN9y0f6dXH3jYWljnSjG0tuAez3FY11GehIMjJT72BZljt8AEPM6FP/+9Bny83KgoaWDYdP+goWtm/jv1Tl+K45N1H5KtuOKHJ8pbPuplWuPPYYtwJGtC7FqtqSv6zPqZzi4V0+8xTLTRPnU0ZeNQUffDGmJpcedmRavYBlTZEjF3ajTl8jJSsN/v/WAikAVhcICtOg5A56NegMAjC1doG9si4CjK9Dxkx+hrqGN+xe3IDM1TmY9H4Ketui/6dmy32dkA4a6VbedWrYCaKkDD17WzLtOACCzqOy1S9Svtr4p0pJKbxM1WfH+WLLN6hqYlbl/Z6TGQ7fkMiXaubVTffQatRQmlk7ISE1AwIm12L78U4xdeBTaeqKx68bpDVBRVUOjDiOrKiSqhPfp30uOebqGpffvQqEQp/2WwN69ESxsPd4z12VT9vGae722qNukOwxNbZAcH4nzB1Zj6+9fYML3+6GmrqG04zWijxUnT0oREhKCW7du4cCBAwAANTU1DB06FJs2bRJPnoSEhKBJkyYyy0m/dwQQ3Znx/Plz7NixQ/ydUChEYWEhXr58idq1ZV/CW1JWVpbcBEthYSFycnKwbds2eHiIBg1fX180atQIISEh8PT0BCD/svfiu2ZKewl8eTZt2oThw4eXO+FTvK3KbOe3337D4sWLZb4bPGYRhoyTfcH8g4Aj8N/6g/jfI2asBQCU3JQo1rK3L5c/oRCCkssoWK9cGoheQuy3dhaEwkL0GbmoRD6AJh2GomEb0aSTjWMdvHhyA3evHEDXUt4pUCEVzJskfYn2gOKTCoFUkgqUSQU4126Gr348gMy0JNy5tBd71szAhEV75A4kqsLD60dwZJuknQyfvg5AKe28nDYpF6tQ9G2NUDIbQmGZ8ZSMRXLXnEAmVck00uUmLBTCxrkuug6ZAUDUdmOjnuPW+d3iyZMbp7cjMuwBRkxfAyNTG4SH3MGRbT9C38gcbnUVP/apNA+vH8GRreXXpSj0Su7fkC8Thestpb7vX9mPes17Q11d8YRudlY6dqyaCHMbV7TvN7nMvJVUU/u10ugamODTyX/Af+ti3Di7HQKBCuo16wkbxzpQUanaG1rl6ghll4Hi9BAv88noOdi+7kf88PUACCCAuZUdWnboi4AL/jLLWdo4YcGyPcjKSMO9m+ew9e9FmLl4Y5VMoNS0dn7zzH+IfPEAw75eA0NTW0SE3MbR/xZDz9AcriX24fdp5xUh3weXfSxRWj9XvIyTuzec3CUvQnf2aIAV84fgyqkdGPjFh3nHSU2rb0A0Rk9cfBCZ6Um4e2kv/NZOx5cL/aBnYApdAxN88tUfOLptMW6e/Q8CgQq8mvWCtWMdqKiolh/we5Ib6lDOWKegzxOtp4aM3YBSxm8AMLN2wuSfDiA7Mw1Bt09j/4Z5GDdvm3gCpSrHb0Ue3jiCo1LHZ8O+XleUdfk2Wt7xmfwxLFDZ47ObZ/9DZNgDfDp1DYxMbRERehvHty+GvpE5XEp5TOW7eHrHHxf8JHH3Gb++KLcK2mq5IZRdz8/uH0fIXX90/3wFTKzcEBcVjCsHf4OeoQVqNx0AVVV19BqzGmd3LcC/85tCoKIKe48WcKzd9n1CrBAvRwF6NZEcE+y6VHSRgoI5jaqc5vBxFeB5tBDpWVW40vcUcvcILu6VtIne40o5VynjOLSmCbrlj1M7JTEN/qqonSv4/aHcnwTKOdZz9Won/n9zW8DGxQf/LuqCRzcOoWnn0YiJeIy7F7Zh1LwD7/w7B1XOoxtHcOw/Sf1/Nq2of1dwLl1em67M+ffJnT8hNjIEX8zdWbkMV0BNO17zatZT/P+Wdh6wcfLCqtmdEPrgIuo07qr047WPibCw5k7G04fDyZNS+Pr6Ij8/H7a2tuLvhEIh1NXVkZSUBGNjY4UnKtKP9QJEEx0TJkzAtGnT5Lbh4OAg911JZmZmSEpKkvnO2toaampq4okTAOJJmFevXsHT0xNWVlZyd37ExsZCTU0NpqaV/wH7ypUrCAkJwZ49e2S+t7KyQm5urrhMpLfVsmXFT0TmzZuHmTNlJxKO3Jd/VmmtBh1h5yp5dEp+0e3oaSnx0Je6wjAjLRF6hqXHKbpCT3ZGPiMtQXzlg46+EVRUVOWu4lO03oL8POxZMwNJ8ZEYM3ez+K4TANA3Er3Mz9xG9gc3cxsXpCQofglueSqTt2KKrkjMSE2Aiqqa+NmZ5ZVJZWho6sDU0hGmlo6wd/PBqrndcPfyfrTrPb7S6yqPp08H2LpI2kTxIwrSS7aJ1IQyJ2/0DM2QnlqyTBOU8oJZaeL6Ti5Zf4mlxvPO9Z2aIHMVjJ6RGSxKtl1rF/GLa/Nys3Fm3x8YNm01PH3aAwCsHDwR/SoY105srvSPL5Wpy5JX60jTMzSTu5MiPTUBukV1qaNvrHgfSlXc3iNC7yA+5iWGTFqlcHs5WenYvmIcNLR08OnUvyv9HOqa2K+Vx82rFWYuO42MtCSoqKhCW9cAS6e1gbGZXfkLV4BeUR2lJCfIfJ+WkggDI8V5NTAyQ0qJ/SQtJQkqqmrQ0xfd2q9vaIJJc/9AXm4O0tOSYWRigYPb/4SZhY3Mcmrq6rCwFo3Rjm51EfE8CBeO78TwCaW/jLiialI7z8vNxrn9f+DTqX/Bw7s9AMDK3hMxr54i4OQmmcmT923nZdE1EOW15F0maamJ0C+lDPSNzOTSp6cmQkVVDbp6ih/loKKiAgcXL8TFvKqajFdATarvYjJjtKsP/pzbDfcu70Pb3hMAiB5ZOf33M6L9W1UV2joGWPZ1axiZV83+rUhx/1QyxrLGOn0jxWUiPdYpkzLHb0D0aChTS9EdVrbOXoh8+QgBp/9D/9GLq3z8VsTTuwPsvpcf20q2/cy0ChyfKSiTkndRliUvNxvnDvyBoZMlfZ2lvSdiXj9FwKlNVTp54uLVEVaOkknb4n0+Iy0eulIvsc5MT4COfukx6OibITNNNu6s9ESZZa76/45GncbDo2EvAICZjSfSkt7gztn1qN10AADAwt4Lw+YcRk5WGgoK8qCjZ4I9K4fAwsHr/YMtQ2iUEFEJkrs61YrmUfS0Ze8+0dUS3X1SFQx1AGdLAfZerVmP7HKu2wGWDlLjQIGoTWSmxkPXQNImstIT5O5Gqanc6neEjZOknRfv3xmp8TIva89MS4BuGe1c18AMGSXOvzLTEuXupJamoakDMxsPJMWGAwBeP7+DjLQErF3QQZxGWFiAC/uX4s75bZj0y/lKxUbl8/DpAFtnBf17aslzl/KPbSrav5/c+RNCA89j5JztMDCxet8Q5NTE4zVp+kYWMDS1QcLbCPF3yjheI/pY8Z0nCuTn52Pbtm1YsWIFAgMDxZ8HDx7A0dFRfBdJrVq1cPv2bZll79y5I/Pvhg0bIigoCG5ubnIfDY3yX1zZoEEDPHnyROa7Vq1aIT8/H2FhYeLvQkNDAQCOjqKTpBYtWuDMGdmXj50+fRqNGzeGunrlf/AovrPF29tb5vtGjRpBXV1dZlvR0dF4/PhxpSZPNDU1YWBgIPNR9MguTW1d8Qm/qaUjLGzcoGdohrAgyftV8vNzEf70NhzcGpS6PXs3bzyXWgYAnj8OEC+jpqYBG6e6MusFgLCgANhLrbd44iThbQRGf7MJOnqyj6YyMrOFvpEF4qNfynwfHxMBIzPZH+sqqqJ5k2bv5iOX/vnja7B1qiv+Aay8MnkvQqAgL/f916OApraeTJswt3GDnqE5wp6UaBMht0stHwCwd5Uvo7DH12Dv6lMt+a6o4vqWq5ug0uvGwc1HQV3K17d8m5Bdp6N7Q8THhMukSYgJF7fdgoJ8FBTkQSCQHUoEKqooLKz8iWupdVli/44opy7tXH3wQm7/uAb7ome9q6lpwFrBPvTiSQDsXeXXe+/yPtg41YWVg/x7e7Kz0rFtxVioqqnjs2lrSr0zpSw1rV+rDF19Y2jrGuDFkxvISEuAZ4OO77SektTU1eHgUhvBD6/LfB/88CZcPL0VLuPiUR/BD2/Kpn9wHY6udeR+6FfX0ISxqSUKC/Jx/+Y5eDdpX2Z+hEIh8qqoD6tJ7bz0fVgFQqFkH66Kdl4WNTV12DnXQWiJ+g59dB1OHorr28ndG6GPZNOHPAyAvUvdUid2hEIhoiKeyr00vjrVpPounVD8I4E0XX1jaOtI9u9aPh0ULFs1xGPdYwV9mHvpxzby6WXHOmVS5vhdmuJ6rurxWxFNbT2YWDqKP8Vt/4XU8VlB0fGZXRlt1N7VR2YZAHgh1fYrorAgH4UFeRCoKOjrqijeYhpaejAydxR/TKzcoGNgjtch18RpCvJzEfX8NqydSo/b2skHr6SWAYBXT6/KLJOfmy13IZ9AoCp3MR8AaGrrQ0fPBMlx4Yh9/RguXp3eNcQKyc0HktIln7hUIC1LCGcrSX5VVABHCwEi46rmql5vFxVk5ADP3tSsq4Tl2oSlG3T0zfE6VHZfiAoru03UJJpaejC2cBR/zKzdoGtgjvBg2Xb++tlt2Jaxf9u6+MgsAwAvn1yFrUvpy+Tn5SIhJgx6hqKLFL2a9cOYBf4YPf+Q+KNnaIGmXcbik6kb3zNSUkRTS3H//jJItk1HhNyGXVnHNi4+eFmyf39yDXZS/btQKMSJHT/i6b0zGDF7C4yraWKgph+vZaYnITUxWnxxrrQPebxG9LHi5IkCR48eRVJSEsaOHQsvLy+Zz+DBg+Hr6wsAmDBhAp4+fYq5c+ciNDQUfn5+2LJlCwDJbXhz587F9evXMXnyZAQGBuLZs2fw9/fH1KlTK5SXbt264fr16ygokFy507lzZzRs2BBjxozB/fv3cffuXUyYMAFdunQR340yceJEREREYObMmQgODsamTZvg6+uL2bNnV7o8UlNTsXfvXowbN07ub4aGhhg7dixmzZqFc+fO4f79+xgxYgTq1asnfrxZdRIIBGjRdSQuH/kXT+6ewdvIUBzYOB/qmlqo37y3ON2+f+fi9N6V4n+36DISYY8DcPnYBsS9eYHLxzYg7Ml1tOgqeU5qy26jcPfSfty9vB+xb8JwfOdvSEmIRtMOoue8FxTkY/c/0xEVHoTBE5ahsLAAaclxSEuOE199IRAI0LrHGNw4ux2Pb59CwtsInN3/J+KjX6BR27JfPF2W8vJ2eu9K7Pt3rjh90w6fIjn+DU7sWoLYN2G4e3k/7l0+gFbdx1SqTHKyMxAdEYzoCNELd5PjIxEdESx+D0NuTibO7FuF188DkRwfhTfhQTi06TukJsagbtNu7xxvZQgEAjTvMhJXjq5HcFGbOOQ7D+oaWqjXTNImDmyYi7P7Voj/3azL5wgLuoarxzcgLvoFrh7fgBfB19G8yyjZ+F8FI/qVVPyvgst8D0VVaNW9RH3vENV3k45F9e23EvvWS+q7SUdRfR/fKanvu5cPoHUPSX237DoSzxXUd8tusvvA67AHuHhkPRLeRuDB9aO4fXEvmnUaBgDQ0taDU60mOLlnGV4E30JiXCTuXTmIwGuHUafR++//Cuty4zy5/fvAhrk4s1dSl82L6vLKMVFdXjm2AS+eXEcLqbps2fUL3Lu8D/cu70fcmzCc2FVUph0+lclDdlY6gm6fQsO2Q+Tyl5OVjv+Wj0VeThb6jfkFOdnpSEuJQ1pKHApLvEOjsnErq18DgMz0ZERHBCPuzXMAQHzMS0RHBMs8P/felQN4/TwQibGvEBjgj93/TEeLrqNgbu38znGX1LnP57h27iCunTuE6MgX8Nu8DEnx0WjbdTAA4OCO1di8+jtx+rZdhyAx7g32blmO6MgXuHbuEK6dP4gufSXxvwx9hPs3ziHubSSePbmH1T9PhrCwEF37fyFOc2jHajx7cg/xsVGIiniGQzv/QuiTO2jaRnL7fFVSZjvX0taDk2cTnPZbhpdPbyIpLhL3rx7Ag4DDqNWwC4Dqa+clte81Ejcu7MfNCwfwNioMB7ctRVJ8NFp2FrXNo7tWYceaeZLYOn+CpPhoHPrvd7yNCsPNCwdw88IBdOj1hTjNyX1r8PTBNcS/fY2o8KfYvX4hoiJCxOsEgJzsTESFP0VU+FMAQEJcFKLCnyIp/t3uDi2PMus7NycTZ/etxOswyRh9uHiMbtJdvJ77V/bjdZho/34Q4A+/NV+jeddRMLN2qZYyKVY81t25tB+xUWE4VjTWNS0a6075rcReqbGuafFYt2MJYqPCcOfSfty9dACte0rGuvz8XLyJCMabiGAU5OchNSkWbyKCZa7c/BAxfejx+/TeVQgPuYOkuCjEvA7FmX1/4GXwLXi3ELWx6h6/FREIBGjWeSSuHFuP4HtnEBsZikOb5I/PDm6ci7P7pY7POkuOz+Kljs+aSbX93OwMxLwKRkzR8VlSfCRiXgWLn7Wvqa0HR88mOOO3DOFFfV3g1QN4KNXXVReBQACftiNx+8x6hD08g4ToUJzZKYq7+N0kAHB6+xxcOyKJ26fdSLwKuYY7Z/9F4tsw3Dn7L16HXodPO0ncznU74PaZdXgZdBGpCZEIe3gG9y9uhms9SR0+CzyByGc3kRL/GmGPzuLgmjFwqdcZjiVeRv8h3AopROs6KvC0E8DcEOjXTAV5+cDjCMlkR7/mKujoLfmJQkUFsDQSfVRVRC+dtzQCjPXkVg9vFwEevhRCwdxRjSIQCODddiTunJW0ibO75kFNQwseDSVt4szOuQg4KmkTBfm5iIsKRlxUMAoK8pCR8hZxUcFIjvsw/VlZBAIBGncciesn1yM08AziokJxbKuondduIonp6JY5uHRIElOjDiPxMvgabpz6FwkxYbhx6l9EPL2Oxh0l7fz8/qV4FXoLyfGv8eblAxzaMA252enwai66u0pbzxjmth4yHxVVdegamMHUqnrHrfehqqsDA+9aMPAWXZyl42wHA+9a0LKv/LtplU0gEKBp55G4enw9nt47g9ioUBwu6t+9pPr3Q75zcU6qf2/a+XOEPbmGaydE/fu1ExvwMvg6mnWW1P+JHT/i0Y0jGPDlcmhq6SI9JQ7pKXHIy62iW9bKiElZx2s52Rk4tXspXj+/j6T4SLx8ehM7/5gEHX1j1G4o6d+VdbxG9DHiY7sU8PX1RefOnWFoKP/Yh0GDBuHXX3/FvXv30LBhQ+zbtw+zZs3Cn3/+iRYtWmDBggWYNGkSNDVFV2XWr18fly5dwoIFC9CmTRsIhUK4urpi6NCKvWi1Z8+eUFdXx9mzZ9Gtm+jHZxUVFRw5cgRTp05F27Ztoaurix49emDFCkmn7ezsjOPHj2PGjBn4559/YGNjg9WrV2PQIMkP9hcvXkSHDh3w8uVLODk5lZqH3bt3QygU4rPPPlP491WrVkFNTQ2ffPIJsrKy0KlTJ2zZsgWqqh/mWYtteo5Dfm4Ojmz7EdkZqbBzrY9RszdCU1vy9sGUhGioSF1d5+DeAEMmrcC5/X/i/IG/YGxhj08mrYC9q+QK13rNeiIzPRkXD69BWkocLG3d8fnMdTAyEz3KLTXxLZ7eF90GvGbRAJk8jZm7Fc61Re+/adltFPLzcnFi1xJkpafAysETX3zjCxOL8h/bVpry8paeHCfzWDBjczt8PnMdTuxagpvndkLfyAI9h89H3SaSl19XpEzevAzCpqVSBzO7lgIAGrTqj4Ff/gaBQBVx0S9w/+ohZKYnQUfPCLbO9TB2/nZY2rq/c7yV1arHOOTlZuPY9h+RlZECO5f6+HyWLzSlHqmWkvgGAhXJ1W8Obg0xeOIKnD/wJ84fXA0TC3sMnrgSdtLxhz/G1t8l8Z/avQQA4N2qPwaMXVJt8RTX94XDa5CWLKlv46L6TkuJQ3KipL5NzO0wctY6HN8pqe9eI+Tr+5OvVuDs/j9xbv9fMLGwx9CvZOvbzqUehk1bjTN7V+Hi4TUwNrNDz+HfwqdlH3GaoZNW4PTeVdi77htkZaTAyMwGXQZPR9OOspMQ76p1z3HIz8vG0f9+RHZGCmxdFdRlwhuZKy8d3CV1eeHgahhb2GNIibr0atYTmRnJuOT/D9JS4mBh647hM9aL96Fij28eAyBEvWa95PL2JiIIkS8eAAD+nCv7Ivnpy86+1yOslNWvAcDT+xdw0FfyPgi/tbMAAB36TUbHAVMAAPHRL3Fm7ypxnbfrMxEtu0n2jarQuFU3pKcl49i+9UhNioeNgxumzP8bpuaiO59SkuKQKPUDt5mlLabM/xt7tyzHpZN7YGhijqGj56Jhc8lJRl5eDg7v/gfxbyOhqaUDrwatMXraz9DRNRCnSU1JxOa/FiA1KR7aOnqwdfTA1AX/oI53iyqNT5oy2/ngSStxdt9K7F9ftA+b2qDToOniE7jqbOfSGrTogYy0FJw6sA6pyXGwtnfH+LlrYVJU36nJ8TITGqYWdvhyzhoc+u93XD29C4bGFhgwah68m0l+CM3KTIPfxh+QmhwPbR192DrVwtRFW+DoVk+c5vWLx/jnJ8kP04f/+x0A0KRtPwyb9EuVxFaSsupboKKK+OiXCLw2TTxG2zjVw5h5O2AhNUbHx4Tj7D7J/t22z0S06PpFtZSFtPrNS4x1du4YOUtqrCtxbGNiKiej6QAA7WNJREFUbodRs9fh2I4luHFuJwyMLNDr8/nwkhrr0pLi8M/CgeJ/Xz2xCVdPbIJzrSYYN39btcekrPE7PTUe+/6di7TkOGhp68PS3gOjZv8LN69W4jTVPX4r0qqHqO0flz4+m6ng+Eyq7du7NcTgCStw/uCfuHCo6PhswkrYuZQ4PlsmGYNO7yk6PmvZH/2Ljs8GT1iJc/tX4sAGUbyGpjboOGA6GrevvniLNer0JfLzcnBh32LkZKbA0tEb/SdtgoaWJO60pGiZO4GsnRui+8iVuHH8D9w4sRqGpvboPmoVrKQeldRu0He4cfxPXNy3GJnpCdA1sEC9lkPRtJvknVQZKXG4cmiJ6PFJBuao1aQfmnb9qtpjViQgWAg1VSF6NFaBtgYQlQDsuFiA3HxJGgMdgcydM/rawPgekp8sWtYWoGVtFYS/FeK/85IJfBcrAYx0BQh8UXWT+tWpYUfRvnBp/4/IyUqBpUN99JvgW6JNyO4LGamx2LNCcs55/+Im3L+4CTauTTBw8n8fNP+KNOsqauendy1GdmYKbJy98cnUTdCUiik1Ubad27k2RN+xK3HF/w9cObIaRub26DtuFWycJe08LSkGRzbNRGZ6MnT0jGHj7IPP5/jB0FT2mP3/G8NGXmhxTlJvdZaLjr1fbzuAh2PnlbZYjdWy+zjk52bjxA5R/27rUh/DZ/rK1n+CfP8+cPwKXDz0Jy4eWg1jc3sMHL8StlL9+92LuwAA25ZJLhAAgL6jf4V3q4GoTso6XlNRUcXbyFA8CDiM7Mw06BmZw7lWUwyZtEpm28o6XiP6GAmEiu7rpXf2yy+/YN26dXj9+nWVrXPNmjU4fPgwTp06VWXrBIAtW7bgl19+wZMnT97pUV7vsr3p06cjOTm5Qun9rtes59VS9Soo/Dhf8Kem+nF2wR9rfasIPs76NtfLUXYWlOJtmpays6AUBlr55Sf6H5Sa/XFek/SxjmMf6xlUXv7HOX4npX2ccScmf5z9uZHBx/nCZV3tj7OdW3bzVHYWlCLp/FNlZ0Ep1D7O3Ruftvw49+/3NWZxrLKz8P/Opu8tyk/0/8zHeZZXhdasWYMmTZrA1NQU165dw7JlyzBlypQq3cb48eORlJSEtLQ06OvrV9l6T548iV9//fWDTJzo6ekhPz8fWlof5w9JRERERERERERE9P9D4cd6tQzJ4OTJe3r27Bl+/vlnJCYmwsHBAbNmzcK8eRW7zfLKlSvo0aNHqX9PT08HAKipqWHBggVVkl9pu3fvrvJ1liYwMBAAPtijvIiIiIiIiIiIiIiI3hUnT97TqlWrsGrVqndatnHjxuJJhf91bm5uys4CEREREREREREREVGFcPJEibS1tTmpQERERERERERERERUw6goOwNEREREREREREREREQ1CSdPiIiIiIiIiIiIiIiIpPCxXURERERERERERERERYSFQmVngWoA3nlCREREREREREREREQkhZMnREREREREREREREREUjh5QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJERERERERERERERCRFTdkZICIiIiIiIiIiIiKqKYRCobKzQDUA7zwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKZw8ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpKipuwMEBERERERERERERHVFIWFQmVngWoA3nlCREREREREREREREQkhZMnREREREREREREREREUjh5QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJERERERERERERERCRFTdkZICIiIiIiIiIiIiKqKYSFQmVngWoA3nlCREREREREREREREQkhZMnREREREREREREREREUjh5QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJERERERERERERERCRFTdkZICIiIiIiIiIiIiKqKYRCobKzQDUA7zwhIiIiIiIiIiIiIiKSwskTIiIiIiIiIiIiIiIiKXxsF9VYAoGyc6AcH2vcwMd5O2R+wcdZ4R9rO/9Y4y7Exxm4iuDj7Nfi09SVnQWl0NIoVHYWlKLw4wwbBYUfZ7/2sY5j2prKzoFyGBmoKjsLSqGt9XE2dLWPs7qRdP6psrOgFMYdayk7C0qRdunjrG8iene884SIiIiIiIiIiIiIiEgKJ0+IiIiIiIiIiIiIiIik8LFdRERERERERERERERFhB/r82lJBu88ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSoqbsDBARERERERERERER1RSFhUJlZ4FqAN55QkREREREREREREREJIWTJ0RERERERERERERERFI4eUJERERERERERERERCSFkydERERERERERERERERSOHlCREREREREREREREQkRU3ZGSAiIiIiIiIiIiIiqimEQqGys0A1AO88ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSoqbsDBARERERERERERER1RTCQqGys0A1AO88ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDwhIiIiIiIiIiIiIiKSoqbsDBARERERERERERER1RTCQqGys0A1AO88ISIiIiIiIiIiIiIiksLJEyIiIiIiIiIiIiIiIimcPCEiIiIiIiIiIiIiIpLCyRMiIiIiIiIiIiIiIiIpnDz5fyAkJARWVlZIS0tTdlbemUAggEAggJGRkbKzQkRERERERERERERUJjVlZ6CmCwgIQJs2bdClSxecPHlSKXlYsGABJk+eDH19fQDADz/8gMWLF8ul09HRQUZGhvjfly5dwsyZMxEUFAQbGxvMmTMHEydOrNS209PT8e233+LQoUNISEiAk5MTpk2bhkmTJonT5OTkYPbs2di1axeysrLQqVMnrFmzBnZ2duI00dHR2LNnD77//vvKhl+um+d24srxTUhPiYOFjRt6Dp8HJ8/GpaZ/+fQWTuxcitg3z6FvZIE2PceiacdPZdIE3T6NswdWIzH2FUwsHNBl0Neo07iL+O/LZ3VCcvwbuXU36/QZ+oxcBADIyc7Aab+VCL53DpnpyTA2s0XzLiPQrNNnVRS5rBtnd+Lq8U1IS4mDha0belWgHI7vXIrYqKJy6DUWzaTK4W3kM5w78BeiwoOQHP8GPYd9i1bdR8ms49KRfxF05wziol9AXV0LDu4N0G3oLJhbO1dZXEKhEBcO/YM7l/yQlZEKO5f66D1yISxt3ctcLuj2aZw7KKnDzoO+Rp1GXWTS3Dy3E1dPbEJ6sqjMegyTLbOKbDstOQ6n9ixDWNB15GRnwMzaCW17T4BXk27iNBf91yH04SXEvHoKVVV1LFh7q8rK5uLhv3H3kh+yM1Nh61IfvUYsgkU5ZfPkzimcP7gaSXGvYGzugE4Dp6O2VNmEh9xGwElfvAkPQnpKHIZO+Ru1G3aWWceFQ3/h8a3jSE2MgaqaOqwd66LTwOmwc/WuktjKIh13cb30+rzicRe3iZJxA8Ct8ztx7YQv0pPjYG7rhh7D5sPRQ9ImDm78FoHXDsksY+fijS8X7qmy+ADl9GvnDv6NC4f+kVlGz9AM366+IpPm0c3jSEkQ1buNUx10GTwd9tVU75dO7sFZ/y1ISYqHtb0rhnwxB251GpaaPjToDvZvXY7o12EwNDZHl35foG23T2TSnD+6HZdP+yEpPga6+kZo2LwL+g2fBnUNTQDAd5N6IDFOvn9v220oPv1yftUGWERZ/VxBfh7OHvgToQ8vIyk2Elo6enCp0wJdh8yCgbGFeB2Ht3yPsKDrSEuOhYaWDhzcGqDrkFkwt3GplrK4cuRv3L+yB9mZqbBx9kb3YYtgblN2WTy9ewqX/P8U92vt+s9ArQaSsrh7cSfuXdqF5IQoAIC5jTta9/oKbvXaidNc9v8LT24fQ2qSqH1bOdRF+/4zYOvyfu27Jo9jSXFRWPmNbP9ebOhXq+DVtLv43yGBF3HRfy1iXodAQ1Mbjp6NMWzqXzW+HCrazm9f9MPD60cRHfEEOdkZmP/PTWjrGlQ4vspQ5vj95O5p3L24B28igpCVnowJPxyEtUPtaomzPMoshw9JKBTi2rG/8eCqqF+zdvJGl0/L79dC7p3ClSN/Ijn+FYzMHNC23wx4+EjivHr0L1w79rfMMroGZpiy9JpMmuA7x5CWFAMVVVG/1rbfDNg4f5jjtVun/kbQDT/kZKbC0rE+2g1aBFOrsuN+/uAUbp5cjZT4VzA0c0DzHtPhWl8Sd252Om6eWI0Xj88iMy0B5na10ab/Alg61BOnyUyLR8DR5XgVcg25WWmwcWmMtgO/g5G5U3WFKyYUChFw7G88uLYHOUX13XnoIpiVV9/3T+GaVH237itb3wCQlvwWlw4uw8snV5Cfmw1jSyd0H/ELrBy8AACh90/jwdU9ePvqMbIykjFy3iFY2n+Y/ft/cfx+F0KhEJf9/8a9y0X9mnN9dB9efr8WfPcULh6S9GsdBkxHrYZS+/vx9Xh67wwSol9ATUMLdq4N0GnwLJhZVf2xWHUyad0YLrPGwrChF7RsLHBn0Fd4639O2dlSSJnnnBcO/YXHN48jJbH4nEv+XHvzks8RHnJbZr1eTXtiyKSVVRA9FSsUFio7C1QD8M6TcmzatAlTp07F1atX8erVqw++/cjISPj7+2P06NHi72bPno3o6GiZT506dTBkyBBxmpcvX6Jnz55o06YN7t+/j/nz52PatGnYv39/pbY/Y8YMnDx5Etu3b0dwcDBmzJiBqVOn4vDhw+I006dPx8GDB7F7925cvXoV6enp6N27NwoKCsRprKysYGho+B4lodijm8dxfMcStO8zAV/9eACOno2wbcUEJCfI//AFAIlxkdi2YiIcPRvhqx8PoF3v8Ti2/VcE3T4tTvPq+X3sWTMTPi37YspPh+DTsi92r5mJ12EPxGkmfb8Xc/+8LP58MccXAFC3ieRHhuM7l+DZo6sYPOF3fP3bMbTsNgrHtv+C4HtVf3Dw8IaoHNr1nYDJPx6Ak0cjbF0+QeEET3E5bF0+EU4ejTD5xwNo12c8jv33Kx5LlUNebjaMze3R7ZOZ0DM0U7iel09vo3nnYZi4aDdGz/VFYUE+tvw+Frk5mVUW25XjGxFwagt6jfgOE7/3g56hGbYuG4ucrIxSl3n1/D781s6Ed8u+mPzjIXi37Is9Jerw0c3jOLFzCdr1mYBJPx6Ao0cj/LdStu1UZNv7N8xFfEw4hk//B1N+Pow6jbrAb81MvIl4Ik5TUJAHrybd0KSD7I/Z7+vaiY24fnoLeo5YiC8X7oWeoTm2LR+DnKz0Upd5/fw+9q4Tlc3ExYfh3bIv9q6bgUipssnLyYKlfS30HLGw1PWYWjmh5/CFmPSjP8bM2wEjM1v8t3IsMlITqzRGRa4e34jrp7ag5/CFGL+oEnGvnYn6Lfpi0o+HUb9FX/itlY378c3jOLnzN7TtPRETFx+Eo0djbF85Xq4/cavXBrP/uCL+DJ+xvkrjU1a/BgAWtm4yfdvUnw/L/N3Mygm9P/8OU385jC8XbIexmS22LBtXLfV+59pJ7NvyO7oP/BLzlu2BW+2G+OfXr5AYF60wffzbSKz5dTLcajfEvGV70H3gOOzdvBT3b5wVp7l1+RgO7fgTvYZMxKI/DmLEpB9wN+AUDu9YLU4zd8kO/LbhnPgzbZGofhu26CK3zaqirH4uLzcb0RFP0L7vJExavB+fTVmNhJhw7PjzK5lt2TjVxcBxv2Dar8cwatYGCIVCbF0+DoWFBahq109twM2zm9Hts0UYPX8f9AzMsHPVaORkl75/R4bdx4ENM+DVvB/GLTwMr+b9cHD9dES9kJSFvrEVOgycjTEL9mPMgv1w9GyOvWsmI+7NM3EaE0sndPtsEb78/ghGztkJQzNb7PpjDDLS3q991+RxzNDUCnP+uCzz6ThgCjQ0deBev414PUG3T2P/hm/RoPUATP7pIMYt2In6zXv/vyiHirbzvJwsuNdrg7a9J1QqrnehzPE7LycL9u4N0XnwrCqN6V0osxw+pJunN+D2uc3oPHQRRs7dB10DM/itLrtfi3pxH4d9Z6Bus34YveAw6jbrh8MbpuPNS9lx28zaHZOXXBV/xnx3RObvJhZO6DJ0EcZ8dwTDZ++Eoakt9qweg8z37Ncq4t75jQi8tAXtBi7EJzP2QlffHIfXjUFuGXFHh9/Hqf9mwrNRX3w2+zA8G/XFqW0zEBMhifu830K8Dg1A52FL8dk3/rD3aIXD60YjPfktANEPnsc2TUZqQiR6jVmDobMOQN/YBofXjUFeFZ6jlObWmQ24c34zOn+yCCOK6/uv0WXGHfXiPo74zkCdpv0wav5h1GnaD0c2ytZ3dmYKdi7/DKqq6hg8eQPGLDqGDgO/haa2ZJI3LzcTtq4N0Lb/7GqNUZH/xfH7XQSc3IgbZ7ag+7CFGPvdXugammPHyjHllsP+9TNRr0VfjP/+MOq16Iv962fIlMOrkNto0mEYRs/fg+EzN0FYmI+dK8dV6Xn3h6Cqq4PUhyEI+vpHZWelXMo85zS1dELPEQvx1U/+GDt/B4xMbbFthfy5dqN2Q2TOS/uMkr/ImojeHydPypCRkQE/Pz9MmjQJvXv3xpYtW+TS+Pv7w93dHdra2ujQoQO2bt0KgUCA5ORkcZqAgAC0bdsW2trasLe3x7Rp02TuECmLn58fvL29Ze7i0NPTg5WVlfjz9u1bPHnyBGPHjhWnWbduHRwcHPDHH3+gdu3aGDduHMaMGYPly5dXqgyuX7+OUaNGoX379nBycsL48ePh7e2NO3fuAABSUlLg6+uLFStWoHPnzmjQoAG2b9+OR48e4ezZs+Ws/f1dO7kVjdoOROP2Q2Bh44pew+fD0MQKt87tVpj+9vndMDK1Rq/h82Fh44rG7YegYduBuHpikzhNwKltcK3bEu36jIe5jQva9RkP1zrNEXBqmziNroEJ9I3MxZ+QwIswsXCAc60m4jSvnweiQet+cKndFMbmtmjS4RNY2Xsi6uXj6imHdgPRpP0QWNi6otcIUTncPK+4HG4Vl8OI+bCwdUWT4nI4LikHO5d66PHZN6jfvBfU1DUUrueLbzagYZsBsLRzh7VDLQz68lckJ0Qj6mVQlcQlFApx/fQ2tO0zAXUbd4WlnQcGfbkEeTnZeHjjaKnLXT9dVIe9i+qw93i41G6O66cldRhwaisath2Ixu1Ebafn8PkwMLHCraIyq+i2Xz9/gOadh8POpT5MLOzRvu8kaOnoIzpcMnnSacBUtOz2BSztPKqkXIrzd+PMNrTtPRF1GonyN2DsEuTlZuPRzdLL5saZbXCt0xJtek2AubUL2vSaAOfazXHjzFZxGvf6bdFp4HTUadS11PXUb94HrnVbwsTCHha27uj26bfIyUrH28iQKotRkeK42/SeiDpF9TJgXMXahEvdlmjbWxR3294TRG1CKu6A01vQoO0gNGo3BOY2rugxTNQmbp/fJbMuNTUN6Buaiz86ekZVGqOy+jUAUFFVk+nbdA1MZP7u3aI33Irq3dLOHT2Gieo95nXV1/v5I/+hZccBaNV5IKztXDBk9BwYmVrh8mk/hemvnN4LYzNrDBk9B9Z2LmjVeSBadOiPs/6SOn4Z+gCunj5o0qYnTC1sUcenJRq37o6IMEmfpW9oAkNjM/Hn0d3LMLeyh3vd0u/8eR/K7Oe0dPTxxTebUK9pD5hbO8PezQe9RnyHN+FBMidwTdp/AifPJjA2t4WNU110HvQ1UhKjkRwfVeVlcevsNrTqORG1GnaFha0H+oxeirzcbASV0a/dOrcVzrVbolWPCTCzdkWrHhPgVLs5bp2T1L2Hd0e41WsHU0tnmFo6o8OAGdDQ1EHUi0BxGq9mfeBcpyWMze1hbuOOLkPmISc7HbHv0a/V9HFMRUVVZp/XNzLHk7vn4NW0OzS1dAEABQX5OL7zV3T7ZDaadvwUZlbOMLd2lrnDsiaXQ0Xbectuo9C295fVdiddMWWP394t+6F938lwqdOiSuOqLGWXw4ciFApx5/w2tOg+EZ4NusLc1gO9Ron6teDbpcd55/xWONVqiRbdJ8DUyhUtuk+AY63muHN+q0w6FVVV6Bmaiz86+rLjdp2mfeBUuyWMivq1joPnITc7HbFR1X+89uDyNjTuPBGu9bvC1NoDnYctQX5uNkLvlR73g8vbYO/REo07T4CxpQsad54AO/fmeHBZFHd+bjbCHp5Gyz6zYevaBEbmjmjWfSoMTOzwOEB0vJYcF463EQ/QbvD3sHSoB2MLF7Qb/D1yczIQev9Ytcd99/w2NO8+ER4NusLcxgM9Ri5Ffm42npRR33eL6rt5UX037z4BDrWa4+4FSX3fPL0B+sZW6DHyN1g71YehqR0ca7WAsbmDOE3dZv3RsucUONb6sPv3/+L4/S6Ky6F1r4mo3UhUDv3GiPq1x2WUw80z2+BSpyVa95wAM2sXtO45Ac61muPmWUk5DJuxEd6tBsLC1h1W9rXQZ/RvSEl8g+iIqjnv/lDiTl1G6Pd/IObQGWVnpUzKPues36LEufZnis+11TW0Zc5LtXT0q74wiIiTJ2XZs2cPPD094enpiREjRmDz5s0QCoXiv4eHh2Pw4MHo378/AgMDMWHCBCxYsEBmHY8ePUK3bt0wcOBAPHz4EHv27MHVq1cxZcqUCuXh8uXLaNy47B9sNm7cCA8PD7RpI7lC8Pr16+jaVfaEoVu3brhz5w7y8vIqtG0AaN26Nfz9/REVFSV63MKFCwgNDUW3bqIT5rt37yIvL09mWzY2NvDy8kJAQECFt/Mu8vNz8SY8CG5erWS+d/NqhVfP7ytc5tXzQLn07l6tEBUehIJ8Ubm8fv4Abl4tK7zO/PxcPAg4goZtB0IgEIi/d/RohKf3LyA18S2EQiFeBN9E/NtwuNVrXelYy1JqOdRrhVfPFOf59fNAuNUrUQ71ZMvhXWRnid7Lo6NXNXcZJcVFIj0lXiY2NXUNONVqUmp9AIrr0L2epA7Lajuvi9JUdNsO7g3x6NYJZKYno7CwEA9vHENBfh6cazd998ArQJS/OLjWLZE/zybiGBR5HRYIV7m4W+N1WOA75yU/Pxd3L+2BprY+LO1rvfN6KqI47pL14lhO3JFhgTJlBQCuXq3x+nkgAFEM0eFBcCuZpm4rvA6TXW/401v4fVpLrP62Gw5vXoj01IT3jEpC2f1aQkwEln7dFstndcaeNTORGPu6zLzeueAHLR19WDlUbb3n5+Xh1Ytg1PaWPfmv7d0CL0IeKFzmZehDufR1fFoiIuyJuBxcazXAqxfBCH/2CIDobpXH967Cq1EbufUV5+PW5WNo0aG/TP9elZTZzymSk5UGgUAALR3FjyvKzcnEvSsHYGxuBwMTq3Ljq4zk+EhkpMbBpY5knFRT14CDRxNEvig9z1FhgTLLAIBLnTaIDFO8TGFhAYJuHRNdoevSQGGagvxc3L9S1K/Zeb5DNCL/H8YxaVHhQYh5FYxGbQeLv4uOeILUpLcQqKjgn0UDsfTrNti2YjzeRj1TuA5F/r+18+pUk8ZvZfpYyiGlqF9zLtGv2bs3QVQpfRQARL0IlFkGAJzrtEFUib4wKTYC/3zbGuu+64jDG2cgOa70cbsgPxeBV0X9msV79GsVkZoYicy0ODh4SupKVU0Dtq5NEB1eetwx4YEyywCAQ63WiAkPBAAUFuZDWFgAVTVNmTSq6pp48/IuAFGcAKAmlUZFRRWqqhqILkpTXVISRPXtVFu+vt+UMY69eRkoswwAONduI7NM2MPzsHL0wuEN0/DPnBbY+mt/PLiq+IKSD+1/cfx+F8nxon7Npa78eUpkWecpLwLhUke23bvUbY3IovMURXIyRefd2rpV/3QPqhnnnMXy83Nx9+IeaCk41354/QiWTm2Ovxf0xqndS8u8K4aI3h3feVIGX19fjBgxAgDQvXt3pKen49y5c+jcWfTM3HXr1sHT0xPLli0DAHh6euLx48f45ZdfxOtYtmwZhg0bhunTpwMA3N3dsXr1arRr1w5r166FlpZWmXkIDw9Ho0aNSv17Tk4OduzYgW+//Vbm+5iYGFhaWsp8Z2lpifz8fMTHx8Pa2rpCZbB69Wp8+eWXsLOzg5qaGlRUVLBx40a0bt1avB0NDQ0YGxvLbSsmJqZC2yiOIycnR+a7vFx18TPoFclMS0ZhYYHcI6V0DU2RnhKvcJn0lHjoGprKfKdnaIbCgnxkpidB38gC6SnxcuvUMzQrdZ3Bd88hOzMNDVsPkPm+14j5OLRpEX6f0R4qqmoQCAToP+YnOHmUXp/vorRy0DMovRzSkuPhXk9xOWSkJ8HAyELhcmURCoU4vnMpHD0aVdkdFsX51zOQj620RxgVL6dbYhldA0kdistMwXrTitJUdNtDv1qJPWtm4rcpLaCiqgZ1DS18NnU1TCwcUJ3SU+MAALoGsvWoa2CKlHLLRn6Z9JS4SuchJPAC9q2fhbzcLOgbmmPk7E3Q1Tcuf8H3UJzPkjHoGZqW+pg60XLx0Cu5jFTcmWlJKCwsULje9MeS/ci9XlvUbdIdhqY2SI6PxPkDq7H19y8w4fv9pd6hVRnK7NfsXepj8PglMLVyQnpqPC76r8O/Pw/DtF/9oaMnqdengRfgt2Y28nKzoGdoji++8a3yek8vqg/9EnEZGJoiNVlxOaQmx8OgRHp9Q1MUFuQjPS0ZhsbmaNy6B9JSk7Bi4RcQCoHCgny06fYJug0Yq3CdD26fR1ZGGpp36Fs1gSmgzH6upLzcHJzeuxL1mveGlraezN9untuJ034rkJuTCTNrF3zxjS/U1N6/zUvLKLVfM0NqWWWRqrhfK15fsdjIEGxZ+iny83KgoamDwZP+gbmNm0yaZw8v4OCGmeL2PWzGJrkruSvj/8M4Ju3e5X0wt3GFg7vkR6niSdTzh/5Gj0+/hZG5La6d3IxNv43E10tOVOjuu/8v7fxDqAnjd03wsZRDcZw6+vL9WllxZqTGQ7fkMvqy/Zq1U330GrUUJpZOyEhNQMCJtdi+/FOMXXgU2lLj9vNHF+DvW9SvGZhj6LRN0NF7936tIjKL8qldIgZtfVOkJZUed2ZaPLT1SiyjJ4lbQ0sPVk4+uH1mDYwtXaCjb4Zn947h7auHMDJzBAAYW7pA39gG14+tRPshi6GuoY3AS1uQmRYnNy5UtYzi49QScevomyE1sez61inRrnVKjGPJ8a8ReHkXGncajebdJyI6/CHO7/0Zqmoa8Grev+qCeAf/i+P3uyjuh0qec1SoXytxDKtraCruP0oSCoU47bcE9u6NYGFbdU82IAlln3MCRefa62aJ23TJc+16LfrA2MwOeoZmiI16hrP7ViLmdQhGfbMJRFS1OHlSipCQENy6dQsHDhwAAKipqWHo0KHYtGmTePIkJCQETZo0kVmuaVPZq83v3r2L58+fY8eOHeLvhEIhCgsL8fLlS9SuXfYL3LKyssqcYDlw4ADS0tIwcuRIub+VvEq2+K6Zylw9u3r1aty4cQP+/v5wdHTE5cuX8dVXX8Ha2lpcDooIhcJKbee3337D4sWyz2ccPHYRPhlXgRfMl9yMUAiUsW0BFJeL7Irk05QWz93L++Fev43MS0cB4Mbp7YgMe4AR09fAyNQG4SF3cGTbj9A3Modb3ZYK1/U+5IoB5ZRDyb8Vtw+5NVXMkW0/IeZ1CMZ/t6P8xKV4EHAE/lt/EP97xIy1ojzJZVUI+YhlKYpPLjYF6y2Zprxtn93/J7IzU/HFnE3Q0TNG8L1z2PPPDIydvx1W9lV3MPvw+hEc2SbZH4ZPX1eUPwXlUM6+J1cOQtG3leVcuxkm/nAQmelJuHdpL/aunY5x3/nJHTC+j4fXj+DI1vLjFu32lWwTkC8LheuVSuPVrKf4/y3tPGDj5IVVszsh9MFF1GlchY8HUUK/5uHdVuqvHnBw88HKb7rh/tXDaNX9C/FfXGo3w+SfDiAzLQm3L+3F7n9mYOL3e6q03sU5LlkfULAfyy5Q4gvZcgh9fBunDmzEp+MWwMm9HuJiXmHv5t9x3MgMPYfIv+cg4NxB1GnQCkYmlZ9QLk1N7OcA0Uu1/dbOglBYiD4jF8n93btFH7jVbYm0lDhcPbEZe/6ZgXELdpZ5kUN5Ht/0x/Htkv176JTi9wcpGJ/K6aLk92/58jO1csa4hYeQnZmKkHuncWTzXIyYvV3mBxhHz2YYt/AQstKTcP+KHw6sn47R8/bKneSWpibWb0W3nZebjYfXj6F930kK0gPt+kxE3Saifm7g2F+xbGZ7BN0+hSYdhsqtqyaWA1B+O68ONXH8VoaPpRyCbvnj1E5JnIO/EvVris7Lyj1VUjAGSsfp6iV5Yba5LWDj4oN/F3XBoxuH0LSz5H2ZDh7NMHr+IWSmJ+HBNT8c3jgdn8+peL9WESF3j+DiXkncvceVUr9CBfVXgsLjNanvugz7Hed2z8eWxe0gUFGFuW0deDTojbgo0SNzVVXV0eOL1Ti/5zts/K4ZBCqqsHdvAcdabeXW+76e3PLH6V2SuAdNWl+c4RIpKzCOKRr7pL4TCoWwcvBC234zAQCW9nWQEP0cgVd2ffDJk//F8ftdPLpxBMf+k5TDZ9PWFf3fO7T7SvRrJ3f+hNjIEHwxd2flMkylqmnnnEDRufZi0bn23Ut74bd2Or5cKDnXbtzuE3FaSzsPmFo6Yv3iwXgTHgQbp7pl5pGIKoeTJ6Xw9fVFfn4+bG1txd8JhUKoq6sjKSkJxsbGCn9Ql36sFwAUFhZiwoQJmDZtmtw2HBzKvzLdzMwMSUlJpf5948aN6N27N6ysZB+dYWVlJXfnR2xsLNTU1GBqWrEDiKysLMyfPx8HDx5Er169AAD169dHYGAgli9fjs6dO8PKygq5ubniMpHeVsuWFZ8gmDdvHmbOnCnz3dFA9TKX0dE3goqKKtJLXIWckZpY6o94iu4gyUhNgIqqmvjKSVGaOLk0ig68kuKjEBZ0HcOmrZb5Pi83G2f2/YFh01bD06c9AMDKwRPRr4Jx7cTmKp08KS6HkldYllUO+kZmcunTS5RDZRzZ9jOe3r+AcQv+g+F7PMalVoOOsHOtL/53ftFt92kp8dCXuhsmIy0Reoalt2OFdZiWIL6iR9x2SpaZ1HqLr9Iva9uJsa9w89wOTPnFH5a27gAAa4daiAi9g1vndqLvFz9UKv6yePp0gK2LpGyKH0mQXjJ/qQll/oitZ2iG9NSScSfI3ZVQERqaOjC1dISppSPsXX2w+ttuuH9lH9r0qrqX7VYm7rJOjvQMFbd53aK4dfSNFbeJ1AS5K8Gk6RtZwNDUBglvIyoeVBlqQr9WTENTB5Z27kiICZf7Xlzvbj5YNacb7l7aj3Z9xlcwyvLpFdVHybtM0lISoW+kOM8GRmYK06uoqkFPX/RIgyO7/0HTtr3RqvNAAICtoztycrKwc91P6D7oS6ioSJ5mmhD3Bk8f3cT42SurLC6gZvVzxQry87BnzQwkxUdizNzNCq/G19LRh5aOPkytnGDn6o1fv2qO4HtnUb95rwpGLs/duyPGOUveL1G8f2ekliyLBLm7D6TpGSjaBxLlllFV04CJhejKZBunengT/gi3z21Dz88lLy3V0NQRpbFwhK2LD9Z81xWB1/ahVY+K9Ws1qX4rMo5JC7p9Cnm52fBp1U/me30jcwCAhY2r+Ds1dQ2YmNsjOSFaYf5rUjkUq0g7rw41cfxWho+lHNzqd4SNk6Rfy5fq1/QMJXFmpiVAV7/0POsamCGjRJyZafL9mjQNTR2Y2XggKTZc7nsNC0cYF/Vr/y7qiocB+9Cie9UdrznX7QBLB6n6LRDFnZkaD10DSdxZ6Qlyd6NI09E3Q2aabNxZ6QnQkSorQzMHDJyyHXk5mcjNSYeugQVObpsBAxPJO0It7L3w6exDyMlKQ2FBHrT1TLD3j09gYe/13rFKc6vfEdZOisexqq5vPUNzmFq7yqQxsXJB6P1T7xXDu/hfHL/fhYdPB9g6y4916QrLobyxTv5YvuRdlYBo4iQ08DxGztle5Y9P/ZjVxHPOkufaf87thnuX96Ftb8Vt2tqxLlRV1ZH4NoKTJ1VIWCgsPxH9z+M7TxTIz8/Htm3bsGLFCgQGBoo/Dx48gKOjo/guklq1auH27dsyyxa/SL1Yw4YNERQUBDc3N7mPhkb5j7to0KABnjx5ovBvL1++xIULF2ReFF+sRYsWOHNG9iVcp0+fRuPGjaGuXvakRLG8vDzk5eXJ/JgEAKqqqigsLAQANGrUCOrq6jLbio6OxuPHjys1eaKpqQkDAwOZT3lXs6qpacDGqS6eB8m+W+V5UAAc3BQ/A9XBzUc+/eNrsHWqC1U1UbnYu3kjTC6N4nXeu3IQugYm8PBuJ/N9QUE+CgryIBDIlp1ARVJ2VUVcDo8V5NldcTnYu/koSC9bDhUhFArhv+0nBN09gzHfboaJuV35C5VBU1tXfIBgaukICxs36BmaydRHfn4uwp/eLrWOAVEdytezpA6Ly6xkPYcFBcC+KI2xuV25287NyQYAuXpWUVGFUFi19ayprSdTNuY2btAzNEfYkxL5C7ktjkERe1cf+bgfX4O9q89751EIIfLzct97PdJKjbtEvUSUE7edqw9eyNX3Ndi7+QAQtQlrBW3ixZMA2LuWvt7M9CSkJkaLf1x8XzWhXyuWn5eLuDcvoFdObEKh5GSxqqipq8PBpTaCH96Q+f7pwxtw8VT8Mmdnj/p4WiJ98IPrcHStIy6H3NxsuYseVFRUAQjFd98Vu37+MPQNTEp9H8q7qkn9HCD5QTnhbQRGf7NJ5hFtZXv//V1TSw8mFo7ij5m1G3QNzPHyyTWp/OXiVeht2JXybHMAsHX1wcvgazLfvXhyFXZl7LsiQvHJcelJhCioRJw1qX4rMo5Ju3t5PzwbdICugexjTmyc6kJNTQPx0S/F3xXk5yEpPgpGZjY1vhyK8/tu7fz9/X8Yvz+Ej6UcNLX0YFw0UWEs1a+FB8v2a6+f3YZtGX2UrYuPzDIA8PLJ1VLf8wCIxu2EmDDoGZYzblek76skDS09GJk7ij8mlm7Q0TfH61BJXRXk5yIq7DasnUqPwcrJB69DZOv3Vcg1WDn5yKVV19SBroEFsjNT8OrpVTh7dZRLo6mtD209EyTHhSP29WOFad6HRon6Ni2jvm3KqDsbZx+EP5Wt7/DgqzLL2Lo0ROLblzJpkmLDYWBiiw/tf3H8fheaWnowsXQUf4r7tZdBsu0+IuQ27Mo6T3HxwcsnJc9BrsGu6DwFEJ13n9jxI57eO4MRs7fA+D3Pu0lWTT/nFCm73cdGPUNBQV65525EVHmcPFHg6NGjSEpKwtixY+Hl5SXzGTx4MHx9fQEAEyZMwNOnTzF37lyEhobCz88PW7ZsASC5DW/u3Lm4fv06Jk+ejMDAQDx79gz+/v6YOnVqhfLSrVs3XL9+HQUFBXJ/27RpE6ytrdGjRw+5v02cOBERERGYOXMmgoODsWnTJvj6+mL27NkVLgcDAwO0a9cO33zzDS5evIiXL19iy5Yt2LZtGwYMGAAAMDQ0xNixYzFr1iycO3cO9+/fx4gRI1CvXr0yH+tVVVp1H4W7l/bj7uX9iH0ThuM7fkNKQjSadBQ9QuK030rsWz9XnL5Jx0+RHP8Gx3cuQeybMNy9vB93Lx9A6x5jxGladh2J548DcPnYBsS9eYHLxzYg7Ml1tOwm+2i0wsJC3LtyAA1a94eqquxNXFraenCq1QQn9yzDi+BbSIyLxL0rBxF47TDqNKr6cikuhzuX9iM2KgzHisqhaVE5nPJbib1S5dC0uBx2LEFsVBjuXNqPu5cOoHVPSTnk5+fiTUQw3kQEoyA/D6lJsXgTESxzhb3/1h/xIOAIhk5aBk0tXaQlxyEtOQ55udlVEpdAIECLriNx+ci/eHL3DN5GhuLAxvlQ19RC/ea9xen2/TsXp/dKrg5v0WUkwhTUYYuukjps2a1E29lZVGZFjx+pyLbNrZ1hYukA/y3fI/LFQyTGvsK1E5sRFhSA2g07ibeVnPAG0RHBSEl8g0JhAaIjghEdEYyc7Iz3KpvmXUbiytH1CC7K3yHfeVDX0EK9ZpKyObBhLs7uWyH+d7MunyMs6BquHt+AuOgXuHp8A14EX0fzLqPEaXKyMxD9KhjRr4JF+Y+PRPSrYPFz6XNzMnF2/0q8DgtEcnwU3kQE4fDm75CaGIO6Tbq/c0zvHPfGeXJt4sCGuTizVxJ386K4rxwTxX3l2Aa8eHIdLaTibtn1C9y7vA/3Lu9H3JswnNhV1J90+FRcLqd2L8Xr5/eRFB+Jl09vYucfk6Cjb4zaDatuv1ZWv3Zi1+94+VTUX70Oe4Bdf3+NnKx0NGjdH4Co3k/vXYXXzwORFB+FN+FBOOj7HVKTYuDVpFuVxV+sY5/PEXDuAALOHUR05Avs27wMSfHRaPN/7N11XBTpHwfwz1IKUgqiEpKKHYiBnt2NdXq2Yp+dp/7Usz1b71RORUE9u+uwRVFswcIACQNQUkJ6fn8gCyug6LEM7n7er9e+lJnZ3e934pmZfeZ5nja9AABH/1kH1/Wzpcs3btMLke/f4qDrCoS8fonrF47g+sUjaNUlaxtXr9MUV88ewB3PfxEe9hq+Pl44uXcDqts3hYqqqnS59PR03Lh0DA2adc5Rvhc0Mcu5tLRU7N0wEW8CH6PnyBVIT0+TluOZFWKR717B4+RmvAl8jOiItwj2u499GyZDTb3YZ129Fcy6qNdqIK79+zee3j+Hd2+e44RrRrlWNVu5dnzbdFw6nHV812s5EC+fXMN1980ID/HHdffNCPT1Qr2WWdv+0pHVCH5xB9Hhr/Hu9TNcOrIGQc9uoWr9zgAy9u9LR1bjzUtvxES8QUjQY5zcMRsfokJR2f77y7Wifh7LFBEWhKDnd2CfbaD4TMU1tVG3eW9cPPoX/B5dw/uQAJzYMR8A8n3sF/X9HABio98jJMgXEe8yrnPCXj9HSJAvEuKi85Vjfol5/gaAhLhohAT74v1bfwBARGgAQoJ9EVvIY4aIvR4Ki0QigX2LgfBy/xvPvc/h/ZvnOOWWkWflull5nnSdDo+jWXnWaT4QAb7XcOPMZkSE+uPGmc0IeuoF+xZZeV489AeCn99CdPgrvA3wwdEt45GcGIdqDTLu05KTEuBxNKtcCw1+jH93zkZsVChs7eR/vVazyUDcOf83/B+cQ0TIc5zfMxNqGsVR0S4r73O7Z+D6yay8azYegODn13D3whZEhb3E3Qtb8Pq5F2o2yco76OlVBPlexYeI1wh+dg1HNw5CSSNLVK7XXbqMn7c7XvvdREzEK7x8dAHHnIfCslpLlLeVHZxcHnnXaTEQN8982t5vn+PfHRl5V8m2vU+5TseVz7Z3oO813Dybsb1vns3Y3nWaZ+Vdp8UghAT44Ia7M6LeBeHJ7RN44LkftZv2lS7zMT4aYa98ERGScXxHhQUg7JWv3McEUsTz9/fIXA+ep//G03sZ6+HYtoz1UC3bejjqMgMXDmVbD60GwP/JNVz7dwvCQ17i2r9bEODrhfqtstbDv/8swMMbJ9Bt+EoUK14CcTHvERdTcPfdhUW1hBZ0a1aCbs2Mgc+1LE2hW7MSipvlb0zewiLmPWdyUgLOH8x2rx34GMe2yd5rR74LxuVjG/Am4CGiwl/juY8H9m+ciHLlq6B8BbtCWktEyoPdduXCxcUFrVq1gp6eXo55PXr0wJIlS3Dv3j3Y2dnh4MGDmDJlCtatWwcHBwfMnj0bo0ePRrFiGa0matSoAQ8PD8yePRuNGzeGIAiwtrZG7945+4fOTYcOHaCuro7z58+jbdusG9T09HS4urpi8ODBUM32g08mS0tLnD59GpMmTcKGDRtgbGyM9evXo0ePHtJlLl++jObNmyMgIAAWFha5fv/evXsxc+ZM9OvXD5GRkTA3N8fixYsxatQo6TJr1qyBmpoafv75Z3z8+BEtW7aEq6trrnEVtOr1OyAhLhqXjm1EbPR7lDGpgAGTnVHSMOMJnNiY94iOzOpSolRpUwyc4ozTu5fh5oXd0NE3Qsf+s6R9eANA+Qq18fOYVTh/aB0uHPoTpYzM0HvMKphZyz7t7P/YCzERIajTpDty03v0Kpw9sAYHnKfhY3wM9A2N0brnRNRr0afA10ONBp+tB9MKGDgl23qIfo+YCNn1MGiqM079sww3LuyGrr4ROg6YhWrZ1kNs1HtsmJOVm+e/2+D57zZYVqqLYbN2AABuXdwLANi6JOtiAAB6DF8Cu8bdCiS3xh2GITU5CSd2LEBi/AeYWtfAoKlbUUyzhHSZmIgQqGRr/VG+Qm30Gr0KFw6tw8XDf6KkkRl+Hi27DTP3ncvHNiI2Jmvf0Tc0yfd3q6qpY+Ckv3H2wGrsWjsGyYkJKFWmPLoPWyrTGuni4T9x/9pR6d8b52Ws16Ez3FDetv53r5tG7YchJTkRp3YtwMf4GJha1cCAKS4olq0rkpjIt5CoZD1pX97GDj1HrcLFw+tw8ch6lDIyQ89Rq2Gabd28DXwEt+VZ2/TM3mUAgJqNHNHNaRkkKqoIDwmAz7XxSIiLgmYJfZhYVsfQmf/A6FP3ZfL0U4dhSE1JxMmdC5AYHwMT61zyjngr08KgfIWsvC8dWY+SRmbo9Vne1ep3QEJ8NDyOb0BszHsYmVRAv0l/S/cJFRVVhL1+Dp/rx5CYEAtt/dKwrFQPvUavkfnu/0qscu1DVCj2b5qKhNhoaOmUhJlNTYycu1f6vRKJKsJDXmK3Z0a/6VraGdt92KxdKGNa8NvdvlE7xMfG4PTBzfgQ9R7lyttgzKwNMCht/CnecESFZ3VPaVjGFGNmbcAh1xW44r4PeqVKo9eQGajdIKtiq33P4ZBIJDixdwOiI99BW7ckqtdpii59x8p899MHNxAZHgKHFo4FnlduxCrnPkSG4en9iwCAjXNly+yhM9xgWbke1NSLIej5HXid3YHE+A8ooWcAi4r2GP6/PXIZ58ah7XCkJifB/Z/5SEyIgYllTfwycRuKFc9eroXItPgztbZDt+Gr4XF0LTyOrUfJ0mboNmINTKyy1kX8h3Ac3zYdcTHvUExTB0YmtugzYSusqjQCkHF8R4S+xEGvI/j4qVwrZ1EdA6f/g9LG/23/LsrnsUz3rh6GTskysK7WKNcc2vaeBhVVNRzcPAOpyYkwta6BITO2Q7NEzmvlorYe8rOfA8DtS/tw6dgG6TyXpQMAAN2cCu6aJpNY528AeOZ9Ece2zZIuc9A5o9vcpl1+RXPH/D3cVVDEXA+FqX6b4UhNScLZPRnlmrFlTfw8TrZc+5BLudbFaTWuHl+LqyfWQ7+0GboMWwPjbF0lxUaF4sS2yUiIi4aWdkkYW9bCgOn7oWeQdd0SGfYSRzcfwcf4jHKtrHl19Jvy38u1/LBrkXG95nFoAZI+xqBM+RroOtIFGtnyjo2SvV4rZ2mHtgNW4ca/63DTfT30DMzQduBqlDXPyjs5MQ5ep1YjLjoUxbX0YV2jNRp0mARV1azW8/Ef3sHz+LKM7rJ0S8PWvivqtpYdz0le6rXOOI+d35uxvctZ1ESvcds+yzsEkmy9O5hY26Hz0NXwPLEWnifWQ9/QDJ2dZLd3OYsacBz5F64cW43rpzdAz8AUzXvOQpV6XaTL+D+4iH93zpT+fWLbJABAww5j0aiTfI9vRTx/f4+G7YYhNTkR//6TUa6ZWNVAv8kussf7Z/cpZjZ26D5iFS4fXYfLRzPWQ/cRq2XWw93LewAAO1bIPtDZZcgS1GyU++8RRZFenWpwuLBT+neVlRnno1c7DuOB08y83iYKse45M++1vT/da2tp68PYQvZeW1VVHS99vXDj3A4kJyVAr1Q5VKjRFM26/vqpVT0RFSSJ8PkgHfSfLF68GM7Oznj16lWBfebGjRtx7NgxnDlTsP2Zurq6YvHixXjy5Em+u/L6r983ceJEREdH52v5AzcKttujH8VXB49UUAXcm9kPIy1dOTe4su7nqirKecotVUK+3SYUVRFxX++eUxElJitnw+biGkp6IlNSynr+VlYfk5Rze8d/VM7rFs3iyrm9NZT00VoVJb0+L9miktghiCLW46nYIYiiT0PlLNf+q25jX4gdwg/nyF+FX3Etb0p6eiw4GzduRN26dWFgYIBr165hxYoVGDt27Nff+A1GjBiBqKgoxMbGQkdHp8A+193dHUuWLCmUihNtbW2kpqaiePHicv8uIiIiIiIiIiIiIqL/gpUn/9GLFy+waNEiREZGonz58pgyZQpmzsxfc8OrV6/mOl5Jpri4OACAmpoaZs+enedy32vv3r0F/pl58fb2BoBC6cqLiIiIiIiIiIiI6HsJ6crZMo1ksfLkP1qzZg3WrFnzXe+1t7eXViooOhsbG7FDICIiIiIiIiIiIiLKF1aeiEhTU5OVCkRERERERERERERERYxyjuhJRERERERERERERESUB1aeEBERERERERERERERZcPKEyIiIiIiIiIiIiIiomw45gkRERERERERERER0SeCIIgdAhUBbHlCRERERERERERERESUDStPiIiIiIiIiIiIiIiIsmHlCRERERERERERERERUTasPCEiIiIiIiIiIiIioiInKioKAwYMgJ6eHvT09DBgwABER0fn+/0jR46ERCLB2rVrv/m7WXlCRERERERERERERERFTt++feHt7Q13d3e4u7vD29sbAwYMyNd7jx49ips3b8LY2Pi7vlvtu95FRERERERERERERKSA0tPTxQ7hh5OUlISkpCSZacWKFUOxYsW++zN9fX3h7u6OGzduoH79+gCALVu2wMHBAc+ePYOtrW2e733z5g3Gjh2LM2fOoGPHjt/1/Wx5QkRERERERERERERE323p0qXSrrUyX0uXLv1Pn+nl5QU9PT1pxQkANGjQAHp6erh+/Xqe70tPT8eAAQMwbdo0VK1a9bu/ny1PiIiIiIiIiIiIiIjou82cOROTJ0+WmfZfWp0AQGhoKIyMjHJMNzIyQmhoaJ7v++OPP6Cmpobx48f/p+9nyxMiIiIiIiIiIiIiIvpuxYoVg66urswrr8qT33//HRKJ5IuvO3fuAAAkEkmO9wuCkOt0ALh79y7WrVsHV1fXPJfJL7Y8ISIiIiIiIiIiIiKiQjF27Fj06dPni8tYWFjgwYMHCAsLyzHv/fv3KFOmTK7vu3r1Kt69e4fy5ctLp6WlpWHKlClYu3YtAgMD8x0nK0+IiIiIiIiIiIiIiKhQGBoawtDQ8KvLOTg4ICYmBrdu3UK9evUAADdv3kRMTAwaNmyY63sGDBiAVq1ayUxr27YtBgwYgCFDhnxTnKw8ISIiIiIiIiIiIiL6REgXxA6BAFSuXBnt2rXD8OHD8ffffwMARowYgU6dOsHW1la6XKVKlbB06VJ069YNBgYGMDAwkPkcdXV1lC1bVuY9+cExT4iIiIiIiIiIiIiIqMj5559/UL16dbRp0wZt2rRBjRo1sHPnTpllnj17hpiYmAL/brY8ISIiIiIiIiIiIiKiIqdUqVLYtWvXF5cRhC+3FPqWcU6yY8sTIiIiIiIiIiIiIiKibFh5QkRERERERERERERElA0rT4iIiIiIiIiIiIiIiLLhmCdERERERERERERERJ8IQrrYIVARwJYnRERERERERERERERE2bDyhIiIiIiIiIiIiIiIKBtWnhAREREREREREREREWXDyhMiIiIiIiIiIiIiIqJsWHlCRERERERERERERESUjZrYARARERERERERERERFRVCuiB2CFQEsOUJERERERERERERERFRNmx5QkWWwApepaKipFW5qWliRyAONVXlPMCVtVz78FFd7BCoEGmoK+eOLpGIHYE4UtOUM3Fl3d7KqriGcpZr6mrKuaOrqijn9lbWck1Z8471eCp2CKLQaVpJ7BDEkfJM7AiIflhK+nMlERERERERERERERFR7lh5QkRERERERERERERElA0rT4iIiIiIiIiIiIiIiLLhmCdERERERERERERERJ8I6co5BhbJYssTIiIiIiIiIiIiIiKibFh5QkRERERERERERERElA0rT4iIiIiIiIiIiIiIiLJh5QkREREREREREREREVE2rDwhIiIiIiIiIiIiIiLKRk3sAIiIiIiIiIiIiIiIiop0IV3sEKgIYMsTIiIiIiIiIiIiIiKibFh5QkRERERERERERERElA0rT4iIiIiIiIiIiIiIiLJh5QkREREREREREREREVE2rDwhIiIiIiIiIiIiIiLKRk3sAIiIiIiIiIiIiIiIigohXRA7BCoC2PKEiIiIiIiIiIiIiIgoG1aeEBERERERERERERERZcPKEyIiIiIiIiIiIiIiomxYeUJERERERERERERERJQNK0+IiIiIiIiIiIiIiIiyURM7ACIiIiIiIiIiIiKiokJITxc7BCoC2PKEiIiIiIiIiIiIiIgoG1aeEBERERERERERERERZcPKEyIiIiIiIiIiIiIiomxYeUJERERERERERERERJQNK0+IiIiIiIiIiIiIiIiyURM7ACIiIiIiIiIiIiKiokJIF8QOgYoAtjwhIiIiIiIiIiIiIiLKhpUnRERERERERERERERE2bDyhIiIiIiIiIiIiIiIKBtWnvwAnj17hrJlyyI2NlbsUL6bRCKBRCKBvr6+2KEQEREREREREREREX0RB4z/iuvXr6Nx48Zo3bo13N3dRYlh9uzZ+PXXX6GjoyOddubMGcybNw+PHz9G8eLF0aRJE6xcuRKWlpbSZTw8PDB58mQ8fvwYxsbGmD59OkaNGvVN3x0WFoYZM2bg7NmziI6ORpMmTfDnn3+iQoUK0mWSkpIwdepU7NmzBx8/fkTLli2xceNGmJqaSpcJCQnBvn37MG/evP+wJnJ388JueP67DXHR72FkYoP2fWfCwtY+z+UDnt6C+54/8O6NH3RKGuGn9k6o16KPzDKPb5/FhSPrEfkuGKWMyqNVjwmoUqe1dL7Hyc3wvXsO70NeQl29OMxsaqPNz1NQulzG+k9LTcH5w+vw/MEVRL17jeJa2rCq4oA2vaZAt6RRgeV99fQ2xMW8h5GxDTr0+3re/+7+A+/e+kFH3wiNO+Se9/nDWXm37jEBVexbyyzzITIMZ/avwvMHV5CakgSDshboNnQRTCyrAgDiYsJxZv8q+D26hsSEWFjY2qNj/9kwLGtRIHl/7sb53fA8vQ2xMRnbv2M+1sPp3Z+2v74RGnd0Qv1s6yHs9QtcOPwn3gQ+RnT4W3To+xsatRsk8xk3L+zBzYt7Ef3+DQDAyMQGzR3HwLZmE7nkmBdBEOBx/C/c9diPxIQPMLGqgQ795sLIpMIX3/fkzhlcOroeUe+DUbJ0ebToPhGV7bK2c9Cz27h+xgVvAx8jLuY9ev/6FyrZtZL5jPlOlXL97Fa9pqFRO6f/ntwnYuznNy/swa2LexEdnm37dh2Ditm2b1JiPM7uXw3fexeQEBeNkoYmaNC6P+q3/OW78hQEAZeObsAdj/34GP8BplY10GngHJT5yrb8WlmVkc+Xy8j8fPcx13nwf+yF2Oh30CiuhfI2tdGm1xSUNraSLhMeGoAz+1Yi+MU9pKWmoIxpRbTsMQFWlet/1zoBAK/ze3DlVMbxXcbEBp36/wbLL2z/l763cWr3Hwh74wddfSM06TgUDVpmbf9blw7gnucxhL72AwCYWlZB214TYWZdI9fPu3R8M84cWItGbQegc/+Z353H1xTF8xgAHN4yE/evHZX5XFOrGhg5d1+B5C0IAi4fyyjDMve9jgPyV4ZdzJZby+4TUfmz/f7Wxd249q8L4qLfo7SJDdr3nQXzilnrNCkxHucPrMLT+xnHsL6hCeq3GoB6LbKO4TuX9+HhjZMICXqCpMR4/LbhFjS1dP9z3kW1XAOAd2/9cXbfKgQ8uw1BSIeRiQ36/LoG+gbG/znv3GTfBzLPYx37538fyDyPfb4PBD67jevu2c5jY/9C5c/OY0/unsXdy/vwNugxPsZFY+TvR1CufGW55liY+3laagouHF6HFw88EPU+81q0IVr1nAzdkmWknxH5Lhhn9i1H8PO7SEtNhk31xujQ73/Q1jNUmHUBAJeO/olHN08jJjIUqmrqMLaoipbdJ8LUumaB5/k5Ma/Xjrr8Bp/rR2WmmVjVxLDZBVOOf4kgCLhy4i/cv7IPiQkfYGxZE+37zkXpr+Tte/cMPI6tk+bdzHESKmXL+9rpv/H03llEhL6EmkZxmFrXRsseU2FQNuuaJDkxHhcPr8Kz++fxMT4aegYmqNdyAOo06yu3fDMpw/W5vMpuIONYvu7ugthP10TtfpE9luNiwnHu4Er4P7qGxI+xMK9ojw79/geDMhbSZU64zcXLJ5+uW4tpwcymNlr1morS5azwX4hZhh3Z+hu8c1yT1cTwOVnHsrzK86Jedm9fNgCBz27LfG61eh3Qa/Tq/5R3QSr1kz2spjhBz64aihsb4U6PMQg7fkHssIgon9jy5Cu2bduGcePGwdPTE8HBwYX+/a9fv8bx48cxZMgQ6bSXL1+ia9euaNGiBby9vXHmzBmEh4eje/fu0mUCAgLQoUMHNG7cGPfv38esWbMwfvx4HDp0KN/fLQgCHB0d8fLlSxw7dgz379+Hubk5WrVqhfj4eOlyEydOxJEjR7B37154enoiLi4OnTp1QlpamnSZsmXLQk9P7z+ujZwe3jyNf3cvQ9POIzF6wWGYV6yDnatHIjriba7LR71/jZ2rR8G8Yh2MXnAYTTqNwOl/luDx7bPSZYL97mP/psmo2bALfl1wFDUbdsG+jZPxyt9Hukzg09uo16IvRszZi0HTXJCengq3lU5ITkoAAKQkJyIk6AmadRmN0fMP4Zex6xERGoh/1o0psLxP/7MMzTqPxJgFh2FuWwc7VuWdd+T719ixahTMbetgzILDaNppBE7typn3vo2TUathF4xdeBS1GnbB3s/y/hgfg82L+0JFVQ2DpmzG+CUn0b7PdBTXyqjYEwQB/6wbi8h3r9BvwgaMWXAYegbG2L58qHTdFKQHNzLWQ9MuI/HrgsOwqFgHbitHIjo87/XgtnIULCrWwa8LDqNp5xE4tXMJHmVbDynJiShZ2gxtf56c54WmbqmyaPvzZIyZfwBj5h+AVZUG+GftWIS9flHgOX7JtX+3wuusKzr0m4Ph/zsAbd3S2LlqKJI+xuX5nld+93Hw78mo4dAFo34/hhoOXXDQeRJev8zazsnJH1HGtBI69JuT5+dMWX1V5tVlyGJAIkGVOm0KLD+x9nO9UmXR5ufJGD3/AEZnbt91stv39O5lePHQEz1HLseEpafQsO0gnNq1GL73vu8i+Orprbh+xhUd+/8Po+bth7aeIdxWOCHpY3ye78lPWZWfMjI/321sURXdhy3G+CWnMGjKFgiCALeVw5CenlXO71wzCulpqRgywxWjfz+IsuUrYdea0YiNfv9d68Tnxr84uWspmncdifELD8HCtg62r/jC8f3uNbavHAUL2zoYv/AQmnUZgRM7l+Bhtu3/0vcWajp0xIhZ2zFm3m7oGZSDy/LhiIkMy/F5r14+xK1LB1DWzPa74s+vonoey1ShemNMX3tF+how+e8Cy93z9FZ4nckow0bMPQBtvdLYsfLrZdiBTRll2OgFGWXY/k2T8Dpbbo9unob77qVo0mkURs0/AvOK9ti1eoTMOnXfswx+jzzRfcRyjF1yCg5tBuHffxbhabZjOCU5ETbVG6Nxp5EFlnNRLtciwoKxZVE/GBpbwmmmG8YuPIrmXUZDTb1YgeX/Oel5rP8cDJ/zDfuAc8b+PWr+MdRs2AUHnGX3gZSkjyhjVgkd+ud9HktJ+gizCnZo1XNKgeb0ObH288xr0aZdxmDU74fQe+yfiAgNxJ71WdeiyUkJ2LHSCRJIMHi6K5xm7UZaagp2rxuN9PR0hVkXAGBQxgId+s/BmIXH4TTrH+gbmGDHKifEf4gs8Dw/J+b1GgDYVGssc83Wb0LBleNf4uW+BTfPbUe7vnMxdPZBaOsZ4p81Q5CUmHfer/3v4/DmSajeoCuGzz2G6g264vDmiXiTLe+g57dg37wfhszcj36TtiM9LQ3/rJE9f53dvxT+j66i67AVGLXgNOq3Hgz3PYvwzPu8XHMGFP/6XCbHAi67H906Dfc9S9G40yiM+v0Iylewx641WceyIAjY+9eviHr/Gr+M34hR8w5D38AYO1bK3muWM6+KrkOX4NfFp9B/ylYIELBzlZPMdev3ELMMAwCb6o0xde1V6avfpKxjWZ7l+Y9Qdtdp2ktm3XQeNP8/5VzQVEto4cODZ3g8YYHYodA3EoR0vr7xpYhYefIF8fHx2L9/P0aPHo1OnTrB1dU1xzLHjx9HhQoVoKmpiebNm8PNzQ0SiQTR0dHSZa5fv44mTZpAU1MTZmZmGD9+vEzlw5fs378fNWvWlGnFce/ePaSlpWHRokWwtraGnZ0dpk6dCh8fH6SkpAAAnJ2dUb58eaxduxaVK1fGsGHDMHToUKxcuTLf+b948QI3btzApk2bULduXdja2mLjxo2Ii4vDnj17AAAxMTFwcXHBqlWr0KpVK9SuXRu7du3Cw4cPcf68/C9Or59xg12T7rBv2gtGxtbo0G8WdEuVxa2Le3Nd/talvdAzKIcO/WbByNga9k17wa5xd1xz3yZdxuvsDlhXbYimnUagtLEVmnYaAavKDeB1dod0mUFTt8CucTeUMamAcuUrobvTEsREhOBt4GMAQHEtHQyetg3V67VH6XKWMLOphY79/4e3gY/z/IHkW1xzd0OdJt1h3ywj7479ZkGvVFncupB73rcv7oW+QTl0zMy7WS/YNekOz3+z8r5+5lPenT/l3XkErKs0wPUzWXlfObUVeqXKocfwJTC1roGSpU1gXdUBBmXKAwAiwgLxyt8HXQbNg6lVdZQuZ4kug+YiOTEBD7xO/ee8c10PTbujbrNeMDKxRsf+GevhZl7bP3M99J8FIxNr1M1cD6ez1oOpVXW0/2UaajToCDV1jVw/p3Lt5rCt2RSG5SxhWM4SbXpNhEZxLZkfquRNEATcPL8DjTuOQuU6bWBkWhGOTsuQkpyIhzdP5vm+m+d3wLpKQzTuOBKG5azQuONIWFZugJvn3KTLVKjeJONpty/caGnrlZZ5Pbt/EZa29VGytFmB5SjWfl4pc/uWtYRhWUu07plz+77y80btn7rCqnI9lCxtgrrNf0ZZM1u8CXj0zXkKggCvszvQpPNIVLVvgzKmFdFj+DKkJCXiwY28t2V+yqqvlZH5/e66zX6GhW1dlCxtAmOLqmjVYwJiIkOkT7HHx0YhMiwYjTsOR1kzWxiUtUCbXlOQkvwR7976ffM6AQDPf11h37QH6jXrCSMTa3TuPxN6BuVwI4/tf/PiPugblkPn/jNhZGKNes16wr5pd1w9vV26TJ8xK+DQ6hcYm1eGkbEVejgtgJCeDr8nN2Q+KykxHvs2TUd3p/nQLPHfWxp8SVE9j2VSVdOAjn5p6UtLW79A8hYEATfO7UDjTqNQ5dO+121Y/vZ7q6oN0aTTSJQuZ4UmnUZm5JatDLt+1hW1m/RAnaa9UNrYGu37ZqzT2xf3SJd57e+Nmo0cYVmpPkoamsK+WW+UMbPFm8CsY9ihzSA07jiiQJ9ML8rl2vlDa1GxZhO06z0NxuZVUMrIDLa1mkFb16DA8s8ucx9o0mkUqtT5tA/k4zx241zWeax0tvPYjeznsRpN0LL7xC/+YFizYVc06/IrrKo4FGhe2Ym5nxfX0sGgadtQrV57GJazgpl1LXToJ3stGvziHqLD38Bx2FKUMbNFGTNbODotwZuAhwjwvZFrbD/iugCAGg6dYV21IUoZmcHIpALa/vIbkj7GIez1swLNM7e8xbxeAzLK8ezXbJoFVI5/iSAIuHVhB37qMAqV7NrAyKQiugz5AynJiXj0hbxvnXeDVZWGaNRhJAzLWaNRh5GwqNQAN89n5d13ogtqNuqO0iYVUMasEjoPWYoPkW8REpR1/nrj740aDR1hYVsf+oamsGvSG2VMKyEk8Nuv0741b0W/Ppdn2e11xhV2jXugTpOsY1mvVFncuZRxLEeEBeK1vw86DZgHE8vqMCxnhY4D5iE5MR4Pb2bda9o3651x3WpoCmPzqmjRbSI+ZLtu/S95i1WGAYCamgZ09EpLX9mvyeRVnoudd37LbnUNTZl1k/lwZ1Hx/swVPJ+3FqFHz4kdChF9B1aefMG+fftga2sLW1tb9O/fH9u3b4cgCNL5gYGB6NmzJxwdHeHt7Y2RI0di9uzZMp/x8OFDtG3bFt27d8eDBw+wb98+eHp6YuzYsfmK4cqVK7C3l+3Kwd7eHqqqqti+fTvS0tIQExODnTt3ok2bNlBXVwcAeHl5oU0b2Qurtm3b4s6dO9IKlq9JSkoCABQvXlw6TVVVFRoaGvD09AQA3L17FykpKTLfZWxsjGrVquH69ev5+p7vlZqajLeBj2FTrZHMdJtqjfDK736u73nl551z+eqN8CbwMdJSUz4t4wObag1llqlQvRGC8/hMAEj8mDEejWaJvFvXJH2MhUQiQfH/2OXHl/LOK8bgXPKuUO3reX/+mU/vX4KJRVXs+Wsilo5thA1zuuP25f1ZsX3at7I/paqiogpVNXUEvbj3HdnmLc/1UL0Rgl98YftX/2w9fLb9v1V6ehoe3DiF5KQElLep9V2f8T2iw18jLuY9rKtm5aOmrgEL27p47Z/3vvrK3xtWVWXXgXXVn/DKz/u7Y4mLCceLhx6o3bjHd3/G58Tcz7PLa/uaV6yDp/cv4UNkGARBwEvfmwgPC4RN9Z++NVVEvX+NuJhwmdjV1DVgUanuF8udr5VV+Skjv+e7k5MScO/qYZQsbQrdUmUBAFra+ihtbA3va8eQnJSAtLRU3L68D9q6hjA2r/oNawPS2N8EPkGFz4/Xag0R9MI71/cE+XmjQo718RNeB+R9fKckJSItLRVan5Xdx9wWwbZm0xyfV9B+hPNY4NNbWDauEdbOaIej2+Yg7kNE/pL7iox9732Ofc/ctm6euQMZlR7Wn5dh1bLKsNTUZIQEPoZNjnKuEV5lKxvLV7DDs/sX8SEq4xgO8L2BiLBA2FT79mM4v4pyuZaeno5nPh4wLGsB1xXDsHRsIzjP740nd+X3IEzmPpDbeexL+8Arf29Y51iHP+GVv7e8Qv1uYu/nn0v87Fo0LTUZEokEampZD4uoqReDRKKC4Bd3851nfhSldZGamoy7l/ehuKYOypjl3s1RQSkK12uBz25hxcSG+HNWWxx3nYP4AirHvyQzb6uqWWWqmroGzCt+Oe/XL71hVUW2HLau2viL70nK5fxlZmOH595ZZXzg0xuIDAuQiUceisL2ziSP63NAfmV3amoy3gY9znm8V826JkpLTf70fZ/fa2rkWWYlJyXA2/Mw9A2zrlu/R1EowwKf3sLy8Q2x/re2OLZd9ppMXuV5Ucg705fK7gdeJ/DHuAb4a3YnnNn7xxdbxRARfSuOefIFLi4u6N+/PwCgXbt2iIuLw4ULF9CqVUbfos7OzrC1tcWKFSsAALa2tnj06BEWL14s/YwVK1agb9++mDhxIgCgQoUKWL9+PZo2bYpNmzbJVEzkJjAwEHXq1JGZZmFhgbNnz6JXr14YOXIk0tLS4ODggNOnT0uXCQ0NRZkyZWTeV6ZMGaSmpiI8PBzlypX7av6VKlWCubk5Zs6cib///hslSpTA6tWrERoaipCQEOn3aGhooGTJkjm+KzQ09KvfkSkpKUlaWZMpJVkd6hp5dxWREBuN9PQ0aOvKdq2krWuA2JjwXN8TFxOe4wlKbV1DpKelIiEuCjr6RoiLCUeJzz6zhK4h4vL4TEEQ8O+eP2BesQ7KmFbMdZmU5CScPbAa1Rt0QnFN7Txzyg9p3p91KVVCzyDPGONiwlFC77O89XLm/flnauvJ5h31/hVuXdqLhm0Ho2nnEXj98iFO7VoCNTUN1P7JEaXLWULf0BjnDqxB1yG/Q72YJq65uyEuJvy7u+7JS17rQVs37/UQGx2OCtVzXw/xcVHQ1c//eDShr57j7wW/IDUlCRrFtdBvwp8wMrH59kS+U1xMxvr8fH8uoWuAmC+0bsr9GDBA3Ifv3z4+149Co1iJrz75+C3E3M+BjO27eWHW9u07Xnb7duw/C0e3zcXySc2goqoGiUQCx6ELYVFRtrzOj8zvzq0s+1JLta+VVfkpI7/lu29e2I2z+1chOSkBhuWsMHiai/QGTSKRYPA0F/yz7lcsGmUPiUQFJXQNMHDK5k8tNwR8i8zYdT7bV3X0DPD8C9tf57Ptr6Nr8On4joaufukc7/l332rolTSCTdWsJ899vE7jTeATjJ2/P8fyBa2on8cq1GiMqnXbQt/QGFHv3+DC4fXY/sdgjP79UJ4t8/Irswwr8XkuegZ5ds2W8b48yrBPn5cQG4X09LRcPzfuUVb+7fvNxvHtc7BqclPpMdx1yCKYf8cxnF9FuVyL/xCB5MQEXDm5Fa16jEfbn6fg+UNP7PlzPIb+5grLSvX+a/o5c/uQ+z6Qn/NYbu/J3AeKErH38+xSUpJw/uAqVK+fdS1qalUL6sU0ce7ASrTsMQmAgHP7V0IQ0gv8uq0orItn3pdw0DmjVaS2XmkMnLoNJXRk72EKmtjXazbVm6CKfTvoGxgjKvw1Lh1dD7cVgzFi7n8vx78kr+1dQtfwu47v+DzyFgQB5/YvhZlNHRiZZJ2/2v7yP5zcMQfrpzeRlvEdBy5C+Qp5jy9VEMTe3tnJ4/ockF/ZnRAbBSE9Lcc5r0S2ezvDslbQMzDG+YOr0XnQfKgX04TXGVfExbxH3Gdl1q2Lu3HuwEqkfLpuHTh1m0zFwrcSuwyrUL0JqtZtBz0DY0SHv8bFw+vhtnwwRs7LOJblVZ6LnTfw9bK7ukNnlDQ0hbaeId69eYHzB1cj9NUzDJq2DUREBYGVJ3l49uwZbt26hcOHDwMA1NTU0Lt3b2zbtk1aefLs2TPUrVtX5n316sneXN69exd+fn74559/pNMEQUB6ejoCAgJQufKXB6b8+PFjjgqW0NBQDBs2DIMGDcIvv/yC2NhYzJ07Fz179sS5c+cgkUgAQPpv9u/NbXpe1NXVcejQITg5OaFUqVJQVVVFq1at0L59+6++VxCEfH8PACxduhTz58v2S9lz6Fz0GpaPAeY/+xpBECD5fKLM8p+tF+mPepJsi+T40Dw/8+TOhQh79QzDZv+T6/y01BTs3zQFgpCOzgPn5h3Xt/o8HEHIkZvs4rnvD7IflHOZ7OtCSBdgbFkVbXpNAgAYm1fBuzd+uHVxL2r/5AhVNXX8MnY9jmz7HxaPaQAVFVVYV3VAxRqNvzW7fMuxGvCV9ZDLts34nPzvrwBgWM4CYxcdxsf4WDy+cxYHN8/E8Fk75FaB8uDGCZzckXU89J3gnPGfHMd5zmk55DgGgJxrMv/uex5C9Qad5NMvvgj7OZCxfX9deBiJCbF4fPssDm2ZiWEzs7bvjbO78NrfB/0nboS+gTECn93BiR0LoKNfGjZVv9xawef6CRx3+136d/9JmzKiyqUs+9p2yVdZlY8yMj/fXdOhM2yqNkRszHt4/rsd+zZMwrDZu6GuUQyCIODEjgUooVsKTrN2QV29GO5eOYhda0dj1Lz9KGWQs+IiX3I5j3353JJ7+Z7bOzxOusDnximMmOUmraiPjgjBiV1LMXT6li9W3he4Inoeq16/g/T/ZUwrwsSyKlZNaYVnPpdR1f7bfox54HUCJ9yyyrB+E51zjTPjEP/G/R45j/1cPzfbMjfP7cTrlz7oO2Ej9AxMEPTsNk7unA9tvdKw/sox/J8VwXIt8zMr27VAo3aDAQDlzCvj1Yv7uHVxX4FUnjzwOoETO76+D3ya+MXPyrEvCxlTxVbU9vNMaakpOLhpMoR0AR0HZsVXQrcUfh6zFid3zMfN8zshkaigWv2OKGdeBSoqql+M72uK4rqwrFwfo+YfQUJcFO56HMD+TRMxfM7+Au2arqhdr1Wrl1WOG5lWhLFFNayd3hIvHlwu0B/VH944jtO7svLuMy5zLIZczldfTSG3Mi/3N7nvXoB3r59j0PTdMtNvXdiJNy+98fPYTdAzMEbw8ztw/2c+tPWMYFWl4Mr4ora9syuo6/PCLrtzXebT56qqqaP3r+txbPv/8Me4+pCoqMKqigNsqjfJ8V01GmR09xQb/R7Xz2zDgU0TMXTWHqjnc30UtTKs2mfXZMYW1bBmaks897mMKvZtCqw8L2p5A18vu+2b/ixdtoxpRRiUMcff83vibeBjGFt8ewt4IqLPsfIkDy4uLkhNTYWJiYl0miAIUFdXR1RUFEqWLJnrjWn2br2AjG4QRo4cifHjx+f4jvLly381DkNDQ0RFRclM27BhA3R1dbF8+XLptF27dsHMzAw3b95EgwYNULZs2RwtP969ewc1NTUYGOT/BqFOnTrw9vZGTEwMkpOTUbp0adSvX1/alVjZsmWRnJwsXSfZv6thw/xfmM6cOROTJ0+WmXbivvoX36Olow8VFdUcT1bGx0ZCWy/3HHN7EjP+QwRUVNWkfYZmLCP7dEZ8bESOp2AA4OTORXjqfQnDZu6EXi7NgNNSU7Bv4yREhb/G0Bnb/3OrEyBb3tGf5xGZ583fd+f9IULmaRBtfUMYGVvLLFO6nJXMwLUmllUxduERJCbEIi01BSV0S8F5fm+YWBbshUvmevj86ewvrQcdfcMcy8d9th7yS01NAwZlzAEAplbV8OblQ1w/uxOOQ+Z/5Z3fx7Zmc5jOqyH9O/VTs/W4mHDoZGsxkxAb8cUfAfLaFz5/8j2/gp7fQURoAHqOWvNd78+LmPs5ILt9TSyr4XVA1vZNSU7EuYNr0Xf8etjWagYAKFveFiHBvrj27/avVp5Uqt0CptY5t2XsZ9vyS2VZnrlkK6vyU0ZmPq2en+8urqWD4lo6MChrAVPrmlgypgF8751HjQYd8dL3Bp55X8asjTel5ZyxRVX4Pb6O+57H0LLrsC+uk8/ldXzHfWX757Z8bsf3lVPbcOnEZgyb4YJy5bMGhH8T8BhxHyLw19xe0mnp6WkIfHYHXud2Y9F27//8g2J2P8J5LDsdfSPoGZZDRFjQ11LLwbZWc5hYZe33aXmUYbkdj9nlvp0jUOLTvqylUzL3dfohK/+U5ERcOLQWfcb9iYo1mwEAyprZIjT4Ka67b5Nb5UlRLte0dPShoqqG0p+f442tEPS8YLrd/JZ94KvnsQ+fHzMROVrfiKEo7edZMaRg/6aMa9HB011zXIvaVPsJE5efQ3xsFFRUVaGppYsVE36CfmlT/BdFcV1oFNOCQRlzGJQxh5l1Layb0Rb3rhxEk04jvy/JXBTV67VMOvpG0Dcw/q5y/Esq1moBE6us8aHSUjLyjv/wWd4fInK0jMxOW88Q8Z8d3wmxkbm+x333Qjz3uYiB03bJdMeUkpyIS0fWoNeYv1ChRjMAQBnTSgh75YsbZ10KtPKkqG7vgrw+L6yyW0unJCS5XhPJfq6xRTWMnn9U5l5zy8KfYWxRTeZ90uvWMhnXrX+MrY+nd8+heoNOBZ53YZVh2enoG0Hvs2O5IMrzopj3t5bd5cyrQlVVHZFhQaw8IaICwTFPcpGamoodO3Zg1apV8Pb2lr58fHxgbm4ubUVSqVIl3L59W+a9d+7ckfnbzs4Ojx8/ho2NTY6XhsbXm43Wrl0bT548kZmWkJAAVVXZH28y/05PTwcAODg44Nw52cGozp49C3t7e+m4KN9CT08PpUuXxosXL3Dnzh107doVQEblirq6usx3hYSE4NGjR99UeVKsWDHo6urKvL721K+amgaMLarC/7Hs2Cr+j6/DzKZ2ru8xs6mVY3m/R9dgYlEVqmrqn5apCb8cy1xH+WyfKQgCTu5ciCd3z2Ho9O0omcsFSWbFSURYEIZM2wYt7YLpFiAz7xwxPpaNMbvyNrVyySln3jnXjexnmlewQ3hooMwyEaGB0Dc0zvGdxbV0UEK3FMJDA/Em4BEq1W6Z7xzzQ7oeHuUSc4W8t3/O5WXXw/cSAKR+ulGUh2Ka2ihVxlz6Km1sA2290nj5JCuftNRkBD67DVPr3PMHADPrWjLvAYCXj6/B7DvHa7l/9SDKmVdF2QLuM1zM/TwvmTcPaWmpSEtLgUQiewqVqKhKy+AvKaZZQnoDYFDGHEbGNtDWM5SJKzU1GYFPb38xrq+VVfkpI0uWNv2u784gSPf5lKREADmfHpNIVCAIX18nn1NT04CJRZVcj2/zCrVyfY95Lsf3i4fXYGope3x7nHLBhWPOGDptM0ytZG+0bao6YOKSYxi/6LD0ZWpZDbUadsL4RYcLtOIEKPrnsc8lxEXhQ0QodHLpAu1rimlqy+z3mWXY5/te0LPbeeYOAKbWtfAyx/rKKsPU1DRQLpd1+vLJdZh9KhvzPoa/b3/Nr6JcrqmpacDEshrCQwNk5ofncY7/HnnuA08+K3++sg+YWec8BvwfXYOZda0CifO/KEr7OZBVcRIZFoRBU7d/8Vq0hE5JaGrp4uWTG4iPjUClWs2/JfUcitq6yJ0gPQYKSlG9XsuUEBeFmMiQ7yrHv6RYcW2UMjKXvgyleV+TLpOWmoyg51/O29Sqlsx7AODlE0+Z9wiCAPfdC/Ds/lkMmOKWYzD09LRUpKel5LwmUVHN8aDjf1VUt3dBXp8XVtmtpqYBY/OqMp8L5H1NlHmvGREWiLeBj2Bbu8UX8xAgSCu38qOol2EJcVH4kMex/F/K86Ked4Yvl93v3rxAWloKtAu4nCPllJ4u8PWNL0XEypNcnDx5ElFRUXByckK1atVkXj179oSLiwsAYOTIkXj69ClmzJiB58+fY//+/XB1dQWQ9QPSjBkz4OXlhV9//RXe3t548eIFjh8/jnHjxuUrlrZt28LLywtpaWnSaR07dsTt27exYMECvHjxAvfu3cOQIUNgbm6O2rUzTjSjRo1CUFAQJk+eDF9fX2zbtg0uLi6YOnXqN62LAwcO4PLly3j58iWOHTuG1q1bw9HRUTpAvJ6eHpycnDBlyhRcuHAB9+/fR//+/VG9enVp92by1LDtINz1OIS7Vw7h3Vt/nN69FDERIajXvDcA4OyB1Ti4eYZ0+XrN+yA6/C3+3bMM79764+6VQ7h35TAatRsqXcah9UD4P7qOK6e24P3bl7hyagv8n3jBoc1A6TIndy6Az/UT6DVqBTSKl0Bs9HvERr9HSnLGD4hpaanYu2Ei3gQ+Rs+RK5CeniZd5lsu2vLSqN1nef+TkXfdFp/y3r8aB//Oyrtui4y8T+/OyvvulcP4qX1W3g3bDIRfLnk3bJuVd8O2g/DK3weXT/yNiLAg+HidxO3LB1C/ZV/pMo9uueOl7y1EvnsF33sX4LrCCZXrtMwx8HNByFwPdzwO4d0bf5z6tB7qfVoPZ/avxoFs66Fe5nr4ZxnevfHHHY9DuOtxGD91yFoPGYMV+uJtkC/SUlPwIeod3gb5yjzVc/bAGgQ+u4Oo928Q+uo5zh5YiwDfW6jVMH9PMhUEiUSC+q0G4uqpv+F77xzevX6Oo9tmQl2jOKrXz4rjyNYZOH9olfTv+q0GwP/xNXie3oLwkJfwPL0FL329UL/1IOkyyYnxCA32RWiwLwAgKvw1QoN9c/RjnPQxDk/unIFdk16QB7H288+377mDGdu3pkPGei2uqQ2LSnXhvm9Fxr7+/jXuXT0C72vHUKXOt5d7EokEDm0G4sqJzXhy9xzCXj/H4a2zoF6sOGpkezru4OYZOHtgtfTv/JRVXysj8/Pdke9ewePkZrwJfIzoiLcI9ruPfRsmQ029GCrWzOgmwcymFjRL6OLwlpkICX6K8NAAuO9dgej3b1CxZtNvXicA8FP7wbh9+SBufzq+T+xahuiIENRvmRG7+77V2Of8m3T5+i16Iyo8BCf/+QPv3vjj9qeyoXGHIdJlPE664OzB9eg5fBFKGhpLy+WkxHgAGRVbZc0qyLzUi2lCS1sfZc0qfFceX1NUz2NJifFw37scwX73EfX+DQJ8b2HX2jHQ0imJKnat/3PeEokEDVoPxNWTf8P30753dOvMHPv94S0zcO5AVhnWoHVGGXb11Ba8D3mJq6e24OUTLzhkK8MathmMe1cO4t6VQ3j/1h//7vlUdjTvA+DTMWxbF2f3r0DA05uIev8a9z0Pw+f6MVTKlltszHuEBPsiMiwYAPDu9XOEBPsiIS76u/MuquUaADRuPxSPbrrj9uX9iAgLwo1z/+CZ92XUa/nLd+f7JbnuAy45z2OHt8zA+YPZzmOts85j77Odxxpk2weSEuMREuyLkE/nsejw1wgJ9pUZyykhLhohwb54/9YfABARGoCQYF/EFuDYKWLu52lpqdi3YQLeBjxCjxErkC6kITbmPWJjZK9F7189hFf+3oh8Fwyf68exf+MENGgzCIblrApsPYi9LpKTEnD+4Gq88vdGdPgbvA18jGPb/ocPkaGoWrddgeaZW95iXa8lJ8bj7L4/8MrvPqLDXyPw6U3sWT8aWjolUam2fO/TJBIJ6rUciGun/8bTe+fw7s1zHN+ekXe1bHkfc5mOi4ez8q7bciBePrmG6/9uRniIP67/uxkBvl6o3yorb/fd8/HwxnE4DlsFjeIlMsa7iMk6fxXT1Eb5ivVw4eAKBD67iaj3r+Bz7TAeeh0tlLwV/fpcnmW3Q9tPx/LVjGPZfc9SxESGwL5ZH+kyj2+7I+DpTUS+e4Wn9y9gx8qhqGTXEjbVfgKQcd169dTfeBv4CNERb/HK7z4ObJoEdfViqFDj+65J88y7kMqwpMR4nNmbcSxHhb9GwNOb2L0241iubJe1T8ujPC/qZXfku2BcPrYBbwIeIir8NZ77eGD/xokoV74Kylew++68C5pqCS3o1qwE3ZoZFZpalqbQrVkJxc2+PhYxEYlPIhT04xcKoHPnzkhPT8epU6dyzLt37x7q1KmDu3fvws7ODsePH8eUKVPw6tUrODg4oHfv3hg9erTMWCW3b9/G7Nmz4eXlBUEQYG1tjd69e2PWrFlfjSUtLQ3m5uZwcXFB27ZtpdP37t2L5cuX4/nz59DS0oKDgwP++OMPVKqU9XSJh4cHJk2ahMePH8PY2BgzZszAqFGjpPMvX76M5s2bIyAgABYWFrl+//r167FixQqEhYWhXLlyGDhwIObMmSPTaiYxMRHTpk3D7t278fHjR7Rs2RIbN26EmZnsU0Curq6YOHEioqOjv5o3AOz3yt/Tnzcv7IbnaRfExrxHGZMKaN/3N1jYZoxFc3jLTESFv4HTzB3S5QOe3sr40emNH3T0jdC4wzDUa9FH5jMf3T6DC4fWIer9a5Q0MkOrHhNk+nefMzj3sWq6OS2BXeNuiHr/Bqun5X5xPnSGGywr5913eH6Hirl5YTeunnZBbHRW3paVMvI+9CnvYZ/lfXp3Vt5NOuae9/lD6xD17jVKGZmhVc8JOfq1f+p9CecOrEFEWBBKGpqiYbtBqNssq59Rr7M7cfXfbYiPiYC2viFqN+qKZl1Hf3WAvm8YIkfGjfPZ1oNpBXTIth4Obp6J6PA3GDZLdj2c+idjPejqG6Fxp2Gon209RL1/g5VTcm47y0p1pZ9zeOts+D+5gdjo9yiuqYOyZhXRpNMw2FT79gqi5JTv78tYEAR4HP8Ldz3242N8DEytaqBDv7kwyjbgs+vyAdA3MIGj0zLptCd33HHxSMb+XcrIDC26TZTp9zrw6U24rRiEz9Vs6CjzOXc99sF971JMWXUVxbV0vil2dbX8nXrE2M8Pu8zGy2zbt4xZRTTpKLt9Y6Pf4+yBNfB7dA0f42Ogb2iMus1+RsO2g77Y/29eZ1xBEHDp6AbcvrwPifEfYGpdA50GzJEZvNtl6UCUNDRB9+FLZXL5UlmVuQ7zKiPz890fot7h6Pb/4W3gEyTGf0AJPQNYVLRHs65jULqcpfRz3gQ8wvlDa/Em4BHS01JhZGKDZl3HoGKNJlBX/b5LDa/ze+BxKmP7lzWtgI79foNVpYxuI/f/PQtR4W8wcrabdPmXvrdx8p9lCPt0fDft5IQGLbO2/7JJrXId3LJltzFo3X1srjH8vXgQjM0roXP/md8cf0pa/o7vongeS0lOxO71YxES5IvEhFho6xvCqlJ9tOw+HnoGX77RSxfyl7cgCLh87C/cubwfifExMLGugY7958rs99uXDYC+oQm6Dcsqex7fdsfFw1m5tew+EVU+2+9vXdyNa6e3IjbmPYxMKqDdLzNl9vvYmPc4f3A1/DOPYQNj1Gn2MxzaDJYew5eO/onLxzbkiNvRaQlq/9Q9x3RVlR+7XAOAu1cO4crJzYiJDINhOUu07DYWle2+3HI0NZ/7eW4y9wGZ89jn+8Afn/aBbOefx3ey9oFSRmZo0X0iqmQ7jwU8vQm35bmcxxo5Sj/nvudhHNuW81q8aZdf0dzx6w855fe6Raz9PCr8NdbmcS06eIYbLCvVBwCcO7AK3p5HpOcy++Z9ZI6DgiTWukhJScIh56l4/dIHCXFR0NLWh7FFdTTtPBomVtXzFXs+GpZ+MW8xrtdSkhOx769fERKcUY7r6JWGRaV6aN5tAvRK5e8Hu7T0/3Z8XznxF+5f2YeP8TEwsaqJdn3nygzsvmNFRt5dhmbl7XvXHZePrs3Y3qXN0LzbJFSyy8p70XBb5Kbz4KWo2SijbI6LeY+Lh1cj4IknPsbHQM/AGLUb90b91vnbt/NbnufmR74+/9ZyraDLbuDTsfzvVsR9Opbb9pE9f984twPX3bch7kMEdPRLo6ZDVzTpknWv+SEqDMdd5yAk6DE+xn+Atq4BzG3t0bTzmDwrEYp6eZ6SnIg9639FaHDmNVlpWFaqhxbdJshck8mrPC/KZXdMRAgObZmGd69fIDkpAXqlyqFCjaZo1vXXPLvl1mlasD0m5EepJvXgcGFnjumvdhzGA6dvv8f4Hh1TnhXK9yia5j/fFDuEH86l/fXFDqHAsfKkgC1evBjOzs549epVgX3mxo0bcezYMZw5c6bAPhPIqMxYvHgxnjx58l1deX3P98mj8kTRyOFe9YegrHn/l8qTH1l+K08UjbKecb+38uRHl9/KE0WT38oTRfNffmz7kf2XypMfmbJetyir/1J58iP7L5UnPzJlLc+VtVxT1ryVlRiVJ0UBK0++DytPvp0iVp5wwPj/aOPGjahbty4MDAxw7do1rFixAmPH5v706vcaMWIEoqKiEBsbCx2db3t65Evc3d2xZMmSQqk40dbWRmpqqrQ1DhERERERERERERFRUcXKk//oxYsXWLRoESIjI1G+fHlMmTIFM2fmr9nd1atX0b59+zznx8XFAQDU1NQwe/bsAok3u7179xb4Z+bF29sbAHIMdE9EREREREREREREVNSw8uQ/WrNmDdasWfNd77W3t5dWKig6GxsbsUMgIiIiIiIiIiIi+ipBWfvtJBmsPBGRpqYmKxWIiIiIiIiIiIiIiIoYFbEDICIiIiIiIiIiIiIiKkpYeUJERERERERERERERJQNK0+IiIiIiIiIiIiIiIiyYeUJERERERERERERERFRNhwwnoiIiIiIiIiIiIjoEyFdEDsEKgLY8oSIiIiIiIiIiIiIiCgbVp4QERERERERERERERFlw8oTIiIiIiIiIiIiIiKibFh5QkRERERERERERERElA0rT4iIiIiIiIiIiIiIiLJREzsAIiIiIiIiIiIiIqKiQhDSxQ6BigC2PCEiIiIiIiIiIiIiIsqGlSdERERERERERERERETZsPKEiIiIiIiIiIiIiIgoG1aeEBERERERERERERERZcPKEyIiIiIiIiIiIiIiomzUxA6AiIiIiIiIiIiIiKioENIFsUOgIoAtT4iIiIiIiIiIiIiIiLJh5QkREREREREREREREVE2rDwhIiIiIiIiIiIiIiLKhpUnRERERERERERERERE2bDyhIiIiIiIiIiIiIiIKBtWnhAREREREREREREREWWjJnYARERERERERERERERFhZCeLnYIVASw5QkREREREREREREREVE2rDwhIiIiIiIiIiIiIiLKhpUnRERERERERERERERE2bDyhIiIiIiIiIiIiIiIKBtWnhAREREREREREREREWUnEJGMxMREYd68eUJiYqLYoRQq5s28lQHzZt7KgHkzb2XAvJm3MmDezFsZMG/mrQyUNW8iRSARBEEQuwKHqCj58OED9PT0EBMTA11dXbHDKTTMm3krA+bNvJUB82beyoB5M29lwLyZtzJg3sxbGShr3kSKgN12ERERERERERERERERZcPKEyIiIiIiIiIiIiIiomxYeUJERERERERERERERJQNK0+IPlOsWDHMmzcPxYoVEzuUQsW8mbcyYN7MWxkwb+atDJg381YGzJt5KwPmzbyVgbLmTaQIOGA8ERERERERERERERFRNmx5QkRERERERERERERElA0rT4iIiIiIiIiIiIiIiLJh5QkREREREREREREREVE2rDwhIiIiIiIiIiIiIiLKhpUnRADS0tIQFhaGd+/eIS0tTexwSM6io6OxdetWzJw5E5GRkQCAe/fu4c2bNyJHRkREREREREREREWBRBAEQewgiMRy5MgRrFy5Enfu3EFqaioAQE1NDfb29pg2bRocHR3FDbCQJCcnIyAgANbW1lBTUxM7HLl68OABWrVqBT09PQQGBuLZs2ewsrLCnDlzEBQUhB07dogdIhH9B2lpafD09ESNGjVQsmRJscMhkouAgABYWlqKHQYVotTUVFy+fBn+/v7o27cvdHR08PbtW+jq6kJbW1vs8ApMqVKlvml5iUSCe/fuwdzcXE4RFQ7mnT/Mm3n/iJh3/jDvHztvIkWm2L+SEn3B33//jfHjx2Po0KGYNm0aypQpA0EQ8O7dO5w5cwZ9+vTBn3/+ieHDh4sdqtwkJCRg3LhxcHNzAwA8f/4cVlZWGD9+PIyNjfHbb7+JHGHBmzx5MgYPHozly5dDR0dHOr19+/bo27eviJERFYwPHz7ke1ldXV05RiIOVVVVtG3bFr6+vkpXefL7779jyJAhvPlSAjY2NmjSpAmcnJzQs2dPFC9eXOyQCs2FCxdw4cIFvHv3Dunp6TLztm3bJlJU8hUUFIR27dohODgYSUlJaN26NXR0dLB8+XIkJibC2dlZ7BALTHR0NNauXQs9Pb2vLisIAsaMGaMQrcaZN/POC/Nm3j8q5q1ceRMpMrY8IaVlY2ODmTNnwsnJKdf527Ztw+LFi+Hv71/IkRWeCRMm4Nq1a1i7di3atWuHBw8ewMrKCsePH8e8efNw//59sUMscHp6erh37x6sra2ho6MDHx8fWFlZISgoCLa2tkhMTBQ7RLnbuXMnnJ2dERAQAC8vL5ibm2Pt2rWwtLRE165dxQ5PLtzc3GBoaIiOHTsCAKZPn47NmzejSpUq2LNnj0L92KyiogKJRJKvZRX1Qr1u3bpYtmwZWrZsKXYohapOnTrw8fFB06ZN4eTkhO7duyvsj+rr16/P97Ljx4+XYyTiePToEbZt24Z//vkHSUlJ6N27N5ycnFCvXj2xQ5Or+fPnY8GCBbC3t0e5cuVylHVHjhwRKTL5cnR0hI6ODlxcXGBgYCC9dvHw8MCwYcPw4sULsUMsMCoqKggNDYWRkVG+ls9+LfcjY97M+0uYN/P+ETFv5cqbSJGx8oSUlqamJry9vWFra5vr/KdPn6J27dr4+PFjIUdWeMzNzbFv3z40aNBA5qTt5+cHOzu7b3qC/UdRpkwZuLu7o3bt2jI5nz17Fk5OTnj16pXYIcrVpk2bMHfuXEycOBGLFy/Go0ePYGVlBVdXV7i5ueHSpUtihygXtra22LRpE1q0aAEvLy+0bNkSa9euxcmTJ6GmpobDhw+LHWKB8fDwkP4/MDAQv/32GwYPHgwHBwcAgJeXF9zc3LB06VIMGjRIrDDl6uzZs5gxYwYWLlyIOnXqoESJEjLzFbHFTaYHDx5g+/bt2L17N5KTk9GnTx8MHToUdevWFTu0AvV5l1Xv379HQkIC9PX1AWQ89aelpQUjIyO8fPlShAgLR2pqKk6cOAFXV1f8+++/qFChApycnDBgwACULl1a7PAKXLly5bB8+XIMGDBA7FAKlaGhIa5duwZbW1uZa5fAwEBUqVIFCQkJYodIRERERKSQOGA8Ka2qVati8+bNec7fsmULqlatWogRFb7379/n+kREfHx8vp9c/9F07doVCxYsQEpKCoCMPkaDg4Px22+/oUePHiJHJ39//vkntmzZgtmzZ0NVVVU63d7eHg8fPhQxMvl69eoVbGxsAABHjx5Fz549MWLECCxduhRXr14VObqC1bRpU+lrx44dWL16NZYuXYouXbqgS5cuWLp0KVauXInt27eLHarctGvXDj4+PujSpQtMTU1RsmRJlCxZEvr6+grflVeNGjWwZs0avHnzBtu2bcObN2/QqFEjVK9eHevWrUNMTIzYIRaIgIAA6Wvx4sWoVasWfH19ERkZicjISPj6+sLOzg4LFy4UO1S5UlNTQ7du3bB//3788ccf8Pf3x9SpU2FqaoqBAwciJCRE7BALVHJyMho2bCh2GIUuPT0915aCr1+/lumClIiIiIiIChbHPCGltWrVKnTs2BHu7u5o06YNypQpA4lEgtDQUJw7dw5BQUE4ffq02GHKVd26dXHq1CmMGzcOAKQVJlu2bJE+pa5oVq5ciQ4dOsDIyAgfP35E06ZNERoaCgcHByxevFjs8OQuICAAtWvXzjG9WLFiiI+PFyGiwqGtrY2IiAiUL18eZ8+exaRJkwAAxYsXV+jWZV5eXrn2hW9vb49hw4aJEFHhUNQWVN8iPT0dycnJSEpKgiAIKFWqFDZt2oQ5c+Zgy5Yt6N27t9ghFpg5c+bg4MGDMi1JbW1tsWbNGvTs2RP9+vUTMTr5unPnDrZt24a9e/eiRIkSmDp1KpycnPD27VvMnTsXXbt2xa1bt8QOs8AMGzYMu3fvxpw5c8QOpVC1bt0aa9eulT70I5FIEBcXh3nz5qFDhw4iRycfgiDg/PnzuH79OkJDQyGRSFCmTBk0atQILVu2VNiHfJg382bezFvRMG/lyptIEbHbLlJqgYGB2LRpE27cuIHQ0FAAQNmyZeHg4IBRo0bBwsJC3ADl7Pr162jXrh369esHV1dXjBw5Eo8fP4aXlxc8PDxQp04dsUOUm4sXL+LevXtIT0+HnZ0dWrVqJXZIhaJKlSpYunQpunbtKtP1x/r16+Hm5oa7d++KHaJc9OvXT9oV3549exAcHAwDAwMcP34cs2bNwqNHj8QOUS5sbW3RqVMnrFq1Smb6lClTcPLkSTx79kykyEhe7t69i+3bt2PPnj0oVqwYBg4ciGHDhklbXq1atQrLly9HWFiYyJEWHC0tLVy+fDnHeB+3bt1Cs2bNFLJLo9WrV2P79u149uwZOnTogGHDhqFDhw5QUclqVO7n54dKlSohNTVVxEgL1oQJE7Bjxw7UqFEDNWrUgLq6usz81atXixSZfL19+xbNmzeHqqoqXrx4AXt7e7x48QKGhoa4cuVKvvtV/1G8efMGnTp1wsOHD1GtWjWUKVMGgiDg3bt3ePToEWrWrInjx4/DxMRE7FALFPNm3sybeTNvxaCseRMpKlaeECm5R48eYcWKFbh79660ImHGjBmoXr262KEVuNTUVBQvXhze3t6oVq2a2OGIYvv27ZgzZw5WrVoFJycnbN26Ff7+/li6dCm2bt2KPn36iB2iXERHR+N///sfXr16hdGjR6Ndu3YAgHnz5kFDQwOzZ88WOUL5OH36NHr06AFra2s0aNAAAHDjxg34+/vj0KFDCvvEMgBcvXoVf//9N16+fIkDBw7AxMQEO3fuhKWlJX766Sexw5OLGjVqwNfXF23atMHw4cPRuXNnme75gIzuGsuUKYP09HSRoix4nTt3RnBwMFxcXFCnTh1IJBLcuXMHw4cPh5mZGY4fPy52iAWuQoUKGDp0KIYMGYKyZcvmukxycjL27NmjUGMbNW/ePM95EokEFy9eLMRoCtfHjx+xZ88emQc/+vXrB01NTbFDK3Bdu3ZFXFwcdu3ahXLlysnMCwkJQf/+/aGjo4OjR4+KE6CcMG/mnYl5M29FwbyVK28iRcXKEyIllZKSghEjRmDOnDmwsrISO5xCY21tjcOHD6NmzZpihyKaLVu2YNGiRXj16hUAwMTEBL///jucnJxEjkx+goODYWpqKvNUNpDRnPrVq1coX768SJHJ3+vXr7Fp0yb4+vpCEARUqVIFo0aNgpmZmdihyc2hQ4cwYMAA9OvXDzt37sSTJ09gZWWFjRs34uTJkwrbJePChQsxdOhQpXuK7f379xg0aBDc3d2lLRFSU1PRtm1buLq6KtxT+USKTltbG9euXcvzWu3+/fto3Lgx4uLiCjky+WLezDs75s28FQHzVq68iRQVxzwhUlLq6uo4cuSI0vUb/r///Q8zZ87Erl27UKpUKbHDEcXw4cMxfPhwhIeHIz09XSl+WLS0tERISEiOXCMjI2FpaZnrQLw/upSUFLRp0wZ///23Uoznk92iRYvg7OyMgQMHYu/evdLpDRs2xIIFC0SMTH5SUlKwfft29OjRQ+kqT0qXLo3Tp0/j+fPnePr0KQRBQOXKlVGxYkWxQ5Or6Oho3Lp1C+/evcvRkmjgwIEiRUUF5VtaTHXp0kWOkRQ+TU1NREZG5jk/KipKIVvcMO/cMW/Fwrxzx7wVi7LmTaSoWHlCpMS6deuGo0ePYvLkyWKHUmjWr18PPz8/GBsbw9zcHCVKlJCZf+/ePZEiKxwBAQFITU1FhQoVYGhoKJ3+4sULqKurK+w4P3k1soyLi0Px4sULOZrCoa6ujkePHinlYITPnj1DkyZNckzX1dVFdHR04QdUCNTV1ZGUlKSU2zuThYUFBEGAtbU11NQU+xL3xIkT6NevH+Lj46GjoyOz3SUSiUJVnnTv3h2urq7Q1dVF9+7dv7js4cOHCykq+XN0dMzXchKJROEeAOjTpw8GDRqE1atXo3Xr1tDT0wMAxMTE4Ny5c5gyZQr69u0rcpQFj3kzb4B5M2/FwryVK28iRaXYd5ZE9EU2NjZYuHAhrl+/jjp16uSoSBg/frxIkclPfn+MUFSDBw/G0KFDUaFCBZnpN2/exNatW3H58mVxApOTzIpBiUSCuXPnQktLSzovLS0NN2/eRK1atUSKTv4GDhwIFxcXLFu2TOxQClW5cuXg5+eXozLQ09NTobspHDduHP744w9s3bpV4SsPsktISMC4cePg5uYGAHj+/DmsrKwwfvx4GBsb47fffhM5woI3ZcoUDB06FEuWLJEp1xSRnp6etHIo88cHZaBI4xJ9q1WrViE1NRX9+vVDamoqNDQ0AGSM46OmpgYnJyesWLFC5CgLHvNm3gDzZt6KhXkrV95EiopjnhApMUtLyzznSSQSvHz5shCjocKgq6uLe/fuwcbGRma6n58f7O3tFe6p/MzBhT08PODg4CC9cAUADQ0NWFhYYOrUqTkqkxTFuHHjsGPHDtjY2MDe3j5HBenq1atFiky+li9fDjc3N2zbtg2tW7fG6dOnERQUhEmTJmHu3LkYO3as2CHKRbdu3XDhwgVoa2ujevXqOba3Ij2Vn92ECRNw7do1rF27Fu3atcODBw9gZWWF48ePY968ebh//77YIRa4EiVK4OHDhwpdGUj04cMH3L17F6GhoQCAsmXLok6dOtDV1RU5Mvli3sybeSsu5q18ed+5cwdhYWEAlCdvIkXDyhMiAFeuXIGWlhbs7e2l0+7cuYOEhIRcu34h+lHp6enh8uXLqF27tsz0u3fvolmzZoiNjRUpMvkaMmQI1q1bp3QXqpmVR7mRSCS4ePFiIUZTuGbPno01a9YgMTERAFCsWDFMnToVCxcuFDky+RkyZMgX52/fvr2QIilc5ubm2LdvHxo0aAAdHR34+PjAysoKfn5+sLOzw4cPH8QOscB1794dffr0wc8//yx2KFRI4uPj4eHhgeDgYCQnJ8vMU8SWwkRERERERQErT4gAqKiooFKlSnjy5Il0WuXKlfH8+XOF60c6L5lFgaL3l6+iovLFHBV9e3fq1AlaWlrYs2cPVFVVAWTk3Lt3b8THx+Pff/8VOUL5iImJQVpaGkqVKiUzPTIyEmpqakpXqaIsEhIS8OTJE6Snp6NKlSrQ1tYWOySSAy0tLTx69AhWVlYylSc+Pj5o0qQJYmJixA6xwLm4uGDBggUYMmQIqlevDnV1dZn5ijaAeHYHDx7E/v37c61EUNRxy+7fv48OHTogISEB8fHxKFWqFMLDw6GlpQUjIyOFbSn8+vVr6Ovr5yi7U1JS4OXlpZAPOEVERODBgweoWbOmdDu7uLggKSkJvXr1QuXKlcUOsdBYWVnhzJkzCts6+HMpKSk4deoUXrx4gXLlyqFbt245WpAqgtevX6N48eLSsRevXr0KZ2dnBAcHw9zcHL/++iscHBxEjrLgrVq1Cj179oS5ubnYoRS6EydO4M6dO2jXrh0cHBxw8eJFrFy5Eunp6ejevTtGjBghdohy8fHjR+zZsweenp4ICQmBqqoqLC0t4ejoiJYtW4odHhF9A1aeEAEICgqCuro6jI2NpdPevn2LlJQUhb/A2bFjB1asWIEXL14AACpWrIhp06ZhwIABIkcmH8eOHZP5OyUlBffv34ebmxvmz58PJycnkSIrHE+ePEGTJk2gr6+Pxo0bA8i4afnw4QMuXryIatWqiRyhfLRv3x6dO3fGmDFjZKY7Ozvj+PHjOH36tEiRkby9evUKEokEpqamYodCctK0aVP07NkT48aNg46ODh48eABLS0uMHTsWfn5+cHd3FzvEAqeiopLnPEUcQDzT+vXrMXv2bAwaNAhbtmzBkCFD4O/vj9u3b+PXX3/F4sWLxQ5RLpo1a4aKFSti06ZN0NfXh4+PD9TV1dG/f39MmDAB3bt3FzvEAhUSEoKuXbvi7t27kEgk6NevHzZs2CCtRAkLC4OxsbHC7ee3bt1CmzZt8OHDB+jr6+PcuXPo1asX1NTUIAgC3rx5A09PT9jZ2YkdaoFav359rtMnT56M6dOno2zZsgAUr4VVw4YNcfr0aejr6+P9+/do0aIFnj9/DnNzc7x69QpGRka4fv06TExMxA61QDVs2BBz5sxB+/btcezYMXTv3h2dOnWSPrh48uRJHD58GJ06dRI71AKloqICFRUVNG/eHMOGDUO3bt1kuhNWVM7Ozhg3bhxq1qyJFy9eYOPGjRg9ejR69+4NVVVV7NixA0uXLsWECRPEDrVA+fn5oVWrVoiLi4OGhgZCQ0PRoUMHhIeH486dO+jevTt2796tVGMUEv3IWHlCpMRWr16NOXPmYOzYsWjUqBEEQcC1a9ewYcMGLFq0CJMmTRI7xEKze/du7Nu3L0fliiJ6+/Yt/vrrL/j4+EBTUxM1atTA2LFjc7TKUCSlSpXCtWvXcjyx+fTpUzRq1AgREREiRSZ/t2/fxoEDB3J9SltRx8BITU3F/PnzsX79esTFxQEAtLW1MW7cOMybNy/HU/qKRBmfyr9+/TratWuHfv36wdXVFSNHjsTjx4/h5eUFDw8P1KlTR+wQqYBUqlQJ8+bNwy+//CLTymju3LmIjIzEX3/9JXaIcqGvr4+bN2/C1tYW+vr68PLyQuXKlXHz5k0MGjQIT58+FTvEAjVo0CA8f/4cf/75J6KjozFz5kwIgoBz586hZMmSCAsLQ7ly5ZCeni52qAWqdevWsLCwwOrVq/H3339j3bp1aNeuHbZs2QIAGDZsGCIiInDkyBGRIy1YKioqMDExyfEjYlBQEIyNjaGurq6QYzGqqKggNDQURkZGGDFiBG7fvo1///0XZcuWRUREBLp06YJKlSrBxcVF7FALlK6uLh48eAALCws0aNAA3bp1w4wZM6Tz//rrL2zbtk3hrllUVFSwbds2HD16FKdPn4auri769++PYcOGKezDawBQpUoVTJo0CcOHD8elS5fQoUMHrFq1SvpAm6urK5YvXy7TA4gi6NChA8qXL4+NGzdCRUUFy5Ytw5UrV3D69Gm8ePECbdq0waBBg/D777+LHSoR5YdARErLwsJCcHNzyzHd1dVVsLCwECEi8fj5+QlaWlpih0FyoqWlJTx48CDH9AcPHgiampoiRFQ49uzZI6irqwsdO3YUNDQ0hE6dOgm2traCnp6eMHjwYLHDk5uRI0cKRkZGgrOzs+Dj4yP4+PgIzs7OQtmyZYWRI0eKHZ7crFu3TtDW1hZ+/fVXQUNDQxg5cqTQqlUrQU9PT5g1a5bY4cnVgwcPhIEDBwpVq1YVKleuLPTr1y/XY55+bJqamkJgYKAgCIJQunRpwdvbWxAEQXj+/LlQqlQpMUOTK0NDQ+HZs2eCIAhCxYoVBXd3d0EQBMHX11chz2HGxsbCzZs3pX8nJiYKXbt2FWrVqiVEREQIoaGhgoqKiogRykfJkiWFJ0+eCIIgCMnJyYKKiorMerh3755gYmIiVnhyM2LECKFWrVrS3DOpqakJjx8/Fikq+ZNIJEJYWJggCBnH9cmTJ2XmX7p0SSHvx/T09AQfHx9BEATByMhI+v9MinpPln17h4WFCX/88YdQqVIlQUVFRahbt66wefNm4cOHDyJHWfA0NTWFoKAg6d/q6urCw4cPpX8HBAQo5PbW0tISnj9/Lv07KSlJUFdXF8LDwwVBEISjR48q5PFNpKjYRoyUUsmSJfM9tkdkZKScoxFPSEgIGjZsmGN6w4YNERISIkJE4vj48SP+/PNPpenWJzo6Grdu3cK7d+9yPLU5cOBAkaKSr7p162Lz5s34888/ZaY7Ozsr9FPpS5YswZo1a/Drr79CR0cH69atg6WlJUaOHIly5cqJHZ7c7NmzB3v37kX79u2l02rUqIHy5cujT58+cHZ2FjE6+dm4cSM2b96MX375BW5ubpg+fbrMU/mKrHr16nBzcxM7jEKljAOIZz6RbW5uDnNzc9y4cQM1a9ZEQECAdOw2RVS7dm3cuXMHFStWRPPmzTF37lyEh4dj586dqF69utjhFbiYmBiULFlS+nexYsVw8OBB9OrVC82bN8euXbtEjE5+kpOToampCQBQV1eHlpaWdFwIADAwMFDIlrJ///03jh49irZt22L69OkYO3as2CEVmsz70ejoaFhaWsrMs7S0VMj7saZNm2LPnj2oUaMGateujcuXL6NGjRrS+ZcuXVK4rso+Z2RkhOnTp2P69Om4evUqXFxcMGnSJEyaNEnaYlpRGBgYICgoCOXLl8fbt2+RmpqK4OBgaWuboKAghez9QF9fH7GxsdK/ExISkJqaKu2qrUaNGgp5fBMpKlaekFJau3at9P8RERFYtGgR2rZtKx2czsvLC2fOnMGcOXNEirBw2NjYYP/+/Zg1a5bM9H379ins4IyfV5wJgoDY2FhoaWkp7M14didOnEC/fv0QHx8PHR0dmXUhkUgUtvJk8eLFaNWqFXx8fKQD9F24cAG3b9/G2bNnRY5Ofvz9/dGxY0cAGT8+xcfHQyKRYNKkSWjRogXmz58vcoTyUbx4cVhYWOSYbmFhodD9SwcHB0srxDU1NaU3bQMGDECDBg0UtksjVVVVhISEwMjISGZ6REQEjIyMFG5cBODrA4grauVJixYtcOLECdjZ2cHJyQmTJk3CwYMHpf2HK6olS5ZIj+eFCxdi0KBBGD16NGxsbLB9+3aRoyt4VlZWePDggcy1qJqaGg4cOIBevXop3FgImczMzPDy5Uvp+Wvv3r0yDzqEhITIVKYoEkdHR9StWxcDBw7EqVOnFHK/zs3gwYNRrFgxpKSkICgoCFWqVJHOCwkJgb6+vnjBycmyZcvQuHFjvH37Fj/99BNmz56N27dvo3Llynj27Bn27dunkA+55PXgZuPGjdG4cWOsX78e+/btK+So5K9r165wcnLCoEGDcPz4cQwcOBBTpkyBiooKJBIJpk2bhjZt2ogdZoFr3bo1Jk+eDGdnZxQrVgwzZ85ErVq1oKOjAyDjmv3z61YiKrpYeUJKadCgQdL/9+jRAwsWLJB5ymn8+PH466+/cP78eYUe92P+/Pno3bs3rly5gkaNGkEikcDT0xMXLlzA/v37xQ5PLrJXnAEZ/c+WLl0a9evXl3nKUVFNmTIFQ4cOxZIlS6ClpSV2OIWmUaNG8PLywooVK7B//37pWC8uLi4KW1EIZIz1kvmDm4mJCR49eoTq1asjOjoaCQkJIkcnP7/++isWLlyI7du3o1ixYgCApKQkLF68WKGfaFXWp/Lzyi0pKUlhK8smTZqEzp07SwcQv3HjhswA4opq8+bN0haTo0aNQqlSpeDp6YnOnTtj1KhRIkcnP/b29tL/ly5dGqdPnxYxGvlr3749Nm/ejB49eshMz6xA6dGjB16/fi1SdPLTp08fvHv3Tvp35sMPmY4fP4569eoVdliFxsTEBOfPn8eyZctQu3ZthT5vAbL3o127ds3R4uDQoUOoVatWIUclf5njNf3vf//D8uXLER8fj3/++QdqamqoW7cu9u7dC0dHR7HDLHBf2591dXUxfPjwQoqm8Pzxxx9ISkrC3r178dNPP2H9+vVYt24dunbtipSUFDRt2hRLly4VO8wCt3z5cnTt2hVVqlSBRCJB+fLlZcaafP/+PaZNmyZihET0LThgPCk9bW1teHt7w8bGRmb6ixcvULt2bYVrOvu5u3fvYs2aNfD19YUgCKhSpQqmTJmC2rVrix0ayUGJEiXw8OFDWFlZiR0KFYK+ffvC3t4ekydPxuLFi6U3K+fOnYOdnZ1CDRj/+VPn58+fR7FixVCzZk0AgI+PD5KTk9GyZUuFyju7YcOGwczMDPPmzYOzszMmT56MRo0aSZ/KV7RBZ9evXw8goyJh4cKF0NbWls5LS0vDlStXEBgYiPv374sVotwo2wDipFxSU1ORkJAAXV3dXOenpaXh9evXMDc3L+TIxJWQkABVVVXpQwGK7O7du/D09MTAgQOV4uGm3MTHx0NVVRXFixcXOxS5EQRB2o2woaEh1NXVxQ6JCkliYiJSUlKkLTEU1YsXL5CUlIRKlSpBTY3PrhP9qFh5QkrP3NwcY8eOzVHzv2LFCvz1118ICgoSKTKSF2Uc8yNT9+7d0adPH/z8889ih1KogoODvzi/fPnyhRRJ4YqMjERiYiKMjY2Rnp6OlStXwtPTEzY2NpgzZ45C/SAxZMiQfC+rqN2BpKenIz09XXpztn//fun2HjVqlMK1wsjsHz4oKAimpqZQVVWVztPQ0ICFhQUWLFiA+vXrixWi3JQuXRrXrl1DxYoVYWtri/Xr16Nt27Z4+vQp7OzsFLplWVRUFFxcXODr6wuJRILKlStjyJAhCtlneosWLfK13MWLF+UcCRERERGRcmLlCSk9V1dXODk5oV27dtIxT27cuAF3d3ds3boVgwcPFjdAOTp9+jRUVVXRtm1bmelnzpxBenq6zGDLiuJrY34o+qDKLi4uWLBgAYYMGYLq1avneMKrS5cuIkUmX5n96uZFEcdEIFIWzZs3x+HDhxWqMvBr2rRpg8GDB6Nv374YNWoU7t+/j/Hjx2Pnzp2IiorCzZs3xQ5RLjw8PNC1a1fo6upKu7K6e/cuoqOjcfz4cTRt2lTkCAuWiooKzM3N0bFjxy8+kb1mzZpCjIqIiIiISHmw8oQIwM2bN7F+/XqZrqvGjx+vkE+rZlejRg0sW7YMHTp0kJnu7u6OGTNmwMfHR6TI5KdixYro0KGD0o35kUlFRSXPeRKJRGErET7fl1NSUnD//n2sXr0aixcvVriBht++fYvVq1dj7ty5Obo9iYmJwaJFizB16lSUKVNGpAipoDx48CDfy9aoUUOOkVBhunPnDmJjY9G8eXO8f/8egwYNkrYy2r59u7S7OkVTrVo1NGzYEJs2bZK2NEpLS8OYMWNw7do1PHr0SOQIC9by5cvh6uqKiIgI9OvXD0OHDkW1atXEDouIiIiISGmw8oRIiWlqasLX1xcWFhYy0wMDA1G1alXEx8eLE5gcccwPyu7UqVNYsWIFLl++LHYoBWrq1Kn48OEDNm/enOv8UaNGQU9PD3/88UchR1Y4IiIiMHfuXFy6dCnX7vkUqYVZZquqr13OKVrl6OTJk7Fw4UKUKFECkydP/uKyq1evLqSoSN40NTXh7e0NW1tbmenPnj1DrVq18PHjR5Eiky8vLy9s27YN+/fvh62tLYYOHYq+ffvmOSYIEREREREVDI5YRATA398f27dvx8uXL7F27VoYGRnB3d0dZmZmqFq1qtjhyY2enh5evnyZo/LEz88PJUqUECcoOWvbti3u3LnDyhMCkNES6fbt22KHUeDc3d3h7Oyc5/yBAwdi+PDhClt50r9/f/j7+8PJyQllypT5YpdtP7qAgACxQxDF/fv3kZKSIv1/XhR52ysjOzs7+Pr65qg88fX1Ra1atcQJqhA4ODjAwcEB69atw4EDB7BhwwZMnToVb9++ZQUKEREREZEcsfKElJ6Hhwfat2+PRo0a4cqVK1i0aBGMjIzw4MEDbN26FQcPHhQ7RLnp0qULJk6ciCNHjsDa2hpARsXJlClTFHbsi44dO2LatGl48uSJUo35kV18fDw8PDwQHByM5ORkmXnjx48XKSr5+vDhg8zfgiAgJCQEv//+OypUqCBSVPITEBCA8uXL5znf1NQUgYGBhRdQIfP09ISnp6fCdl2Unbm5udghiOLSpUu5/l9ZKFPrquzGjx+PCRMmwM/PDw0aNACQMU7dhg0bsGzZMplu7BSxm7p79+7Bw8MDvr6+qFat2hfHQVF0wcHBMDExkXbfpiyYN/NWBsybeSsDZc2b6EfEbrtI6Tk4OKBXr16YPHkydHR04OPjAysrK9y+fRuOjo548+aN2CHKTUxMDNq1a4c7d+7A1NQUAPD69Ws0btwYhw8fhr6+vrgByoGyjvmR6f79++jQoQMSEhIQHx+PUqVKITw8HFpaWjAyMsLLly/FDlEuchswXhAEmJmZYe/evXBwcBApMvkwNDTE4cOH0aRJk1znX7lyBd27d0d4eHghR1Y46tatiz///FP646qyefLkSa6Vo4paORwWFpbn+D0PHjxQyB/R27dv/8XWVYMGDRIpMvn60jkcgLQLO0U6n799+xaurq5wdXXFhw8f0L9/fwwdOhRVqlQROzRRqaiooEKFCli6dKnCjVv2JcybeSsD5s28lYGy5k30I2LlCSk9bW1tPHz4EJaWljKVJ4GBgahUqRISExPFDlGuBEHAuXPn4OPjA01NTdSoUSPPH1zpx9esWTNUrFgRmzZtgr6+Pnx8fKCuro7+/ftjwoQJCnvh5uHhIfO3iooKSpcuDRsbG6ipKV4jzI4dO8LY2BhbtmzJdf6wYcPw9u1bnD59upAjKxy3b9/Gb7/9hrlz5+b6dLaidnPz8uVLdOvWDQ8fPpQZByXzh3VF+TH5c0ZGRti6dWuOyqGVK1dizpw5CjkOho6OjtK0rsouKCgo38sqQqusDh064NKlS2jTpg2GDh2Kjh07KuQ563t4eHggICAAZ8+exe7du8UOp9Awb+atDJg381YGypo30Y+IlSek9ExNTbF//340bNhQpvLkyJEjmDp1Kvz9/cUOkeQkMTERxYsXFzuMQqWvr4+bN2/C1tYW+vr68PLyQuXKlXHz5k0MGjQIT58+FTtEKgCXLl1C69atMXHiREybNk36VH5YWBiWL1+OdevW4ezZs2jRooXIkcrHixcv8Msvv+QYC0PRnkj/XOfOnaGqqootW7bAysoKt27dQkREBKZMmYKVK1eicePGYocoF6tWrcL//vc/DBo0CGvWrEFkZCQGDBiAx48fY8uWLQrZ4kbZW1cpCxUVFZQrVw5GRkZfHL/n3r17hRgVEREREZHy4KNLpPT69u2LGTNm4MCBA5BIJEhPT8e1a9cwdepUDBw4UOzw5OLmzZuIjIxE+/btpdN27NiBefPmIT4+Ho6Ojvjzzz9RrFgxEaOUj7S0NCxZsgTOzs4ICwvD8+fPYWVlhTlz5sDCwgJOTk5ihyhX6urq0h9gypQpg+DgYFSuXBl6enoIDg4WObqCdfz48Xwvq2g/rjZv3hwbNmzAhAkTsGbNGujq6kIikSAmJgbq6ur4888/FbbiBAD69esHDQ0N7N69W+EHjM/Oy8sLFy9eROnSpaGiogIVFRX89NNPWLp0KcaPH//FgdV/ZFOmTEGrVq3Qv39/1KhRA5GRkWjQoAEePHiQZ3deP7qNGzcqVesqPz8/xMTEoE6dOtJpFy5cwKJFi6TXLbNmzRIxQvmYN2+e2CGILi0tDeHh4ZBIJDAwMFCavuGZN/NWBsybeSsDZc2bSKEIREouOTlZ6Nu3r6CioiJIJBJBXV1dUFFREfr37y+kpqaKHZ5ctGvXTli2bJn07wcPHghqamrCsGHDhFWrVglly5YV5s2bJ16AcjR//nzByspK2LVrl6CpqSn4+/sLgiAI+/btExo0aCBydPLXunVr4Z9//hEEQRBGjhwp1KtXT9i1a5fQtm1boV69eiJHV7AkEonMK/MYz/535ktRvX79WlizZo0wZswYYfTo0cKaNWuEV69eiR2W3GlqagpPnz4VO4xCp6+vLy3TrKyshIsXLwqCIAh+fn6CpqammKHJ3YcPH4TevXsLampqgpqamuDq6ip2SHL1/PlzoU6dOjLlWGYZp4hlmqOjo/C///1P+vfLly8FTU1NoU2bNsL48eMFbW1tYc2aNeIFWER4enoKiYmJYodRIA4fPiw0bNhQ0NDQkO7fGhoaQsOGDYUjR46IHZ7cMG/mzbyPiB2e3DBv5q0MeRMpIlaeEH3i5+cnHDhwQNi3b5/w/PlzscORq7Jlywq3b9+W/j1r1iyhUaNG0r/3798vVK5cWYzQ5M7a2lo4f/68IAiCoK2tLf2h0dfXV9DX1xcztEJx+/Zt6Q+q7969E9q3by/o6OgItWvXFry9vUWOTn7OnTsn2NnZCe7u7kJMTIzw4cMHwd3dXbC3txfOnj0rdnhykZycLAwePFi6jyuTxo0bC+fOnRM7jEL3008/SW/GfvnlF6Fdu3aCp6enMHDgQKFq1ariBidHnp6egoWFhVCnTh3hyZMnwpYtWwQdHR2hV69eQmRkpNjhyUXdunUFBwcHYe/evcKlS5eEy5cvy7wUjampqXD9+nXp3wsXLhRq1qwp/Xvr1q0yfysrHR0dhSjznZ2dBQ0NDWHUqFHCkSNHhOvXrwvXrl0Tjhw5IowaNUooVqyYsHnzZrHDLHDMm3kzb+ataJi3cuVNpKhYeUKkhIoVKyYEBwdL/27UqJGwcOFC6d8BAQGCtra2GKHJXfHixYXAwEBBEGQrTx4/fiyUKFFCzNBIjqpWrSpcvXo1x/QrV64IlSpVEiGiwqGnp6cQP6R9q/379wtVqlQRtm/fLty5c0fw8fGReSkqd3d34dChQ4IgCIK/v79QuXJlQSKRCIaGhsKFCxdEjk5+NDQ0hBkzZgjJycnSaX5+foKDg4NgYmIiYmTyo2ytq4oXLy5z3dKiRQuZlih+fn6Cnp6eCJEVLdmva35k1tbWwtatW/Oc7+LiIlhZWRViRIWDeeeOeSsW5p075q1YlDVvIkXFMU9I6QmCgIMHD+LSpUt49+4d0tPTZeYfPnxYpMjkp0yZMggICICZmRmSk5Nx7949zJ8/Xzo/NjY2R//piqJq1aq4evUqzM3NZaYfOHAAtWvXFikqkjd/f3/o6enlmK6np4fAwMDCD6iQdOvWDUePHsXkyZPFDqVQ9e7dGwAwdOhQ6TSJRKLwA8a3bdtW+n8rKys8efIEkZGRKFmypEKP+3L27Fk0bdpUZpq1tTU8PT2xePFikaKSL3t7e7x69Qq2trZih1IoSpUqhZCQEJiZmSE9PR137tzBpEmTpPOTk5MhCIKIEVJBevPmDX766ac85zds2BBv374txIgKB/POHfNWLMw7d8xbsShr3kSKSkXsAIjENmHCBAwYMAABAQHQ1taGnp6ezEsRtWvXDr/99huuXr2KmTNnQktLC40bN5bOf/DgAaytrUWMsOANHToUsbGxmDdvHsaOHYs//vgD6enpOHz4MIYPH44lS5Zg7ty5YocpF7Vr14adnV2+Xoqqbt26mDhxIkJCQqTTQkNDMWXKFNSrV0/EyOTLxsYGCxcuRM+ePbF06VKsX79e5qWoAgICcrxevnwp/VdZBAUFITQ0VGF/VO7QoQNiYmKkFSeLFy9GdHS0dH5UVBT27NkjUnTyNW7cOEyYMAGurq64e/cuHjx4IPNSNE2bNsXChQvx6tUrrF27Funp6WjevLl0/pMnT2BhYSFegFSgqlatis2bN+c5f8uWLahatWohRlQ4mHfumLdiYd65Y96KRVnzJlJUEkFR76iJ8qlUqVLYtWsXOnToIHYoheb9+/fo3r07rl27Bm1tbbi5uaFbt27S+S1btkSDBg0U6oldVVVVhISEwMjICGfOnMGSJUtw9+5dpKenw87ODnPnzkWbNm3EDlMusrcq+pp58+bJMRLx+Pn5oVu3bnj27BnKly8PAAgODkbFihVx9OhR2NjYiByhfFhaWuY5TyKRKFVFgiJzc3NDVFQUJk6cKJ02YsQIuLi4AABsbW1x5swZmJmZiRShfGQv1wFAV1cX3t7esLKyAgCEhYXB2NhYIVsaqajkfP5JkVtXBQQEoHXr1ggICICKigrWr1+P0aNHS+c7OjrC0tISa9asETFK8eno6MDHx0d6DPyoPDw80LFjR5ibm6NNmzYoU6YMJBIJQkNDce7cOQQFBeH06dMyD/4oAubNvJk382beikFZ8yZSVKw8IaVnaWmJf//9F5UqVRI7lEIXExMDbW1tqKqqykyPjIyEjo6OQnXdpaKigtDQUOmPbKR8BEHAuXPn8PTpUwiCgCpVqqBVq1YK3Z2RMtu5cyecnZ0REBAALy8vmJubY+3atbC0tETXrl3FDq9AOTg4YMSIERgyZAgAwN3dHZ07d4arqysqV66MsWPHokqVKti6davIkRasz8v1z384VuTKk6CgoC/O/7xrSkWQkpKCJ0+eoHTp0jA2NpaZ5+PjA1NTUxgYGIgUXdHweQXijywwMBCbNm3CjRs3EBoaCgAoW7YsHBwcMGrUKIVtacS8mTfzZt6KhnkrV95EioiVJ6T03Nzc4O7ujm3btkFTU1PscArV0KFDsW7dOujo6MhMj4+Px7hx47Bt2zaRIit4KioqCAsLQ+nSpcUOhahQfPjwAdra2jmeUE9PT0dcXBx0dXVFikz+Nm3ahLlz52LixIlYvHgxHj16BCsrK7i6usLNzQ2XLl0SO8QCZWBggMuXL6N69eoAgNGjR+Pdu3c4dOgQAODy5csYMmQIAgICxAyzwClr5UlKSgpsbW1x8uRJVKlSRexwiiRFqkQQBAHBwcEwMjL66nWqorQ8ISIiIiIqKjjmCSm9Xr16ISoqCkZGRqhevbrSjAEBZFQcffz4Mcf0jx8/YseOHSJEJF8VK1ZEqVKlvvhSdGlpaVi5ciXq1auHsmXLKlX+Hh4e6Ny5M2xsbFChQgV06dIFV69eFTssuThy5Ajs7e2RmJiYY15iYiLq1q2LEydOiBBZ4fjzzz+xZcsWzJ49W6Zlnb29PR4+fChiZPLx8eNHmcqw69evo0mTJtK/rayspE+8KRKJRJKj5ZgytCRTV1dHUlKSUuT6vRTp2TBBEFChQgW8fv36q8vGxsay4oQUhiAISE9PFzuMQufq6oqYmBixw6BC8OLFC1y4cAF+fn5ih0Jy8vkDPLdu3cKNGzeQlJQkUkRE9D3UxA6ASGyDBw/G3bt30b9/f2lflIruw4cPEAQBgiAgNjYWxYsXl85LS0vD6dOnFbJ7q/nz50NPT0/sMEQ1f/58bN26FZMnT8acOXMwe/ZsBAYG4ujRo5g7d67Y4cnNrl27MGTIEHTv3h3jx4+HIAi4fv06WrZsCVdXV/Tt21fsEAvUpk2bMH36dGhpaeWYp6WlhRkzZuCvv/5C586dRYhO/gICAlC7du0c04sVK4b4+HgRIpIvc3Nz3L17F+bm5ggPD8fjx4/x008/SeeHhoYqZNknCAIGDx6MYsWKAcioGBw1ahRKlCgBAAp9Yzpu3Dj88ccf2Lp1K9TUeDmvyFRUVFChQgVERESgQoUKYodTJPj4+MDOzk7hWpUBwKlTp3DkyBGUKlUKQ4YMQeXKlaXzoqKi0KNHD1y8eFHECAteamoqfv/9d1y9ehXNmjXD/PnzsWLFCvz+++9ITU1Fnz59sGXLFmhoaIgdaqEYMWIE6tevr5DnbQA4e/YsWrRoIT137d69G8uXL8eLFy9Qrlw5jB8/HuPHjxc5yoK3bNky1KtXDy1atEBUVBR69uwpbQktkUjQpk0b7NmzB/r6+uIGWsB0dHTw888/w8nJCQ0bNhQ7nEITGBiIHj16wMfHB23btsWePXvQo0cPXLhwAUBW1/EVK1YUOVIiyg9220VKr0SJEjhz5ozMD02KTkVF5YuVRBKJBPPnz8fs2bMLMSr54pgnGaytrbF+/Xp07NgROjo68Pb2lk67ceMGdu/eLXaIclG5cmWMGDECkyZNkpm+evVqbNmyBb6+viJFJh/Gxsa4cuUKbGxscp3v5+eHJk2a4O3bt4UcWeGoUqUKli5diq5du8p0Y7N+/Xq4ubnh7t27YodYoJYuXYr169djzJgxuHjxIt6/f49Hjx5J569duxYnT57E+fPnRYyy4GWO8fI127dvl3Mkha9bt264cOECtLW1Ub16dWmFUabDhw+LFFnRoGjdV506dQrLli3Dpk2bUK1aNbHDEZ2Pjw9q166tcK0Sdu/ejYEDB6Jdu3aIiYnBnTt3sHXrVvTr1w+A4nZFOGfOHGzZsgX9+vWDu7s7mjRpglOnTmHp0qVIT0/HrFmzMG7cOEyfPl3sUAtUXi2+o6OjoaurK+12NTIysjDDkjtVVVWEhITAyMgIhw4dQu/evTFmzBg0aNAA9+7dw19//YXt27fjl19+ETvUAmVubo4TJ06gRo0aGD58OO7evQsXFxdUrlwZz549w6hRo1C1alWFHJ+uSpUqePLkCWxtbTFs2DAMGDBA4e/Je/bsifDwcEydOhU7d+7EmzdvoK6ujl27dkFFRQVDhgyBpqYmjhw5InaoRJQPfFSNlJ6ZmZlC9/2fm0uXLkEQBLRo0QKHDh2SuXjX0NCAubl5jsFYf3TK0KIoP0JDQ6XjImhra0u7BejUqRPmzJkjZmhy9fLly1xbWXTp0gWzZs0SISL5ioqKQmpqap7zU1JSEBUVVYgRFa5p06bh119/RWJiIgRBwK1bt7Bnzx4sXbpU4W5KAWDGjBlISEjA4cOHUbZsWRw4cEBm/rVr1xTuRwhAMStF8ktfXx89evQQOwwqJP3790dCQgJq1qwJDQ2NHGOfKNqPq927d//i/JiYGIW8rlu5ciXWrFmDcePGAQAOHjyIIUOGIDExEU5OTiJHJz+7d+/G1q1b0alTJ4wePRq2trbYvXs3evfuDQAoXrw4FixYoHCVJykpKWjatCl69eolnSYIAoYNG4bp06fDxMRExOjkJ/uzu2vWrMHs2bMxf/58AEDfvn1RtmxZrFmzRuGuW8LCwqStic6fPw83NzdpK+maNWsqdIvwixcvIiQkBFu3bsWSJUswa9YsdOrUCcOGDUO7du0Usjy/cuUKzp49i1q1aqFx48YoWbIkrly5Ij2ulyxZgg4dOogcJRHlFytPSOmtWrUK06dPh7OzMywsLMQOp1A0bdoUQEbXNuXLl1fIC5bPsZFdBlNTU4SEhKB8+fKwsbHB2bNnYWdnh9u3b0u7vlFEZmZmuHDhQo6WGBcuXICZmZlIUcmPhYUF7ty5g0qVKuU6/86dOzA3Ny/kqArPkCFDkJqaiunTpyMhIQF9+/aFiYkJ1q1bhz59+ogdXoFTUVHBwoULsXDhwlznf16ZQj8+Za44yg9Fu65Zu3at2CEUqhMnTqB169YoU6ZMrvMVreVFpufPn6NTp07Sv3v27AlDQ0N06dIFKSkp6Natm4jRyc/bt29Rs2ZNAICNjQ00NDSkfwMZ45UFBQWJFZ7c3L9/H3379sXFixexYcMGaGtrAwCGDx8OR0dHVKlSReQI5e/FixdYv369zLQuXbpg0aJFIkUkP+bm5nj06BHMzc0hkUhydLmpqqqqkF3LZqpZsyb+/PNPrFq1CocOHYKLiws6deoEY2NjDBkyBAsWLBA7xAKVmJgorSzT0dGBqqoqdHR0pPN1dXWRkJAgVnhE9I1YeUJKL/NpPmtra2hpaUFdXV1mvqI9zffgwQNUq1YNKioqiImJ+eLgyTVq1CjEyORL0bp2+F6ZXb3Ur18fEyZMwC+//AIXFxcEBwfn6NJKkUyZMgXjx4+Ht7c3GjZsCIlEAk9PT7i6umLdunVih1fgunfvjtmzZ+f641NoaCj+97//oX///iJFVziGDx+O4cOHIzw8HOnp6QrfPQApn9TUVFy+fBn+/v7o27cvdHR08PbtW+jq6kp/hFNWivbAxKBBg8QOoVBVrlwZPXr0yLO1hbe3N06ePFnIUcmfrq4uwsLCYGlpKZ3WrFkznDhxAp06dcLr169FjE5+9PT0EB0dLX2Yxc7OTuZHxqSkJIWrEAUyKoquX7+O2bNno1atWnBzc0OjRo3EDqtQPHnyBKGhodDU1Mxxj5aenq6QFaTDhw/HtGnTYGtri7Fjx0q7c7K2tkZAQAAmTZqENm3aiB1mgfv82NXQ0MAvv/yCX375BYGBgXBxcYGrq6vCVZ5UrVoV27Ztw8KFC+Hm5gYDAwPs3btXWjG8Z88ejndC9APhmCek9Nzc3L44X9FuWLOP/ZE59kluxYBEIlHIC1eSdfPmTVy7dg02Njbo0qWL2OHI1ZEjR7Bq1Srp+CaVK1fGtGnT0LVrV5EjK3ixsbFwcHBAcHAw+vfvD1tbW0gkEvj6+uKff/6BmZkZbty4IfPjBP2YSpYsme8flRTtYQBlFhQUhHbt2iE4OBhJSUl4/vw5rKysMHHiRCQmJsLZ2VnsEOXi8uXLaNas2VeX8/T0RN26dRWqRaW/vz+2b98Of39/rFu3DkZGRnB3d4eZmRmqVq0qdngFasiQIdDS0sKGDRtyne/r64sOHTogICCgkCOTL0dHR9SsWVPahVF2ly9fRqdOnfDx40eFuz5v0aIFBg0alOc914EDB/DHH3/gzp07hRxZ4bl48SKGDBmCfv36YeXKlfD29lbYlief33+uWbMGEyZMkM7fs2cPFi1ahMePH4sVotyMHz8ezs7OsLa2RmBgIJKTk6GmpobU1FTY2dnhxIkTKFu2rNhhFqj8jDsqCILCVZCeOXMGjo6OSE9Ph6qqKs6cOYNhw4ZBT08PqqqquH37Nnbv3o2ff/5Z7FCJKB9YeUKkZIKCgqRddX2tCbwid+ujrCIiImBgYAAAePXqFbZs2YKPHz+ic+fOaNKkicjRyUdqaioWL16MoUOHKmQXXXmJiYnBzJkzsW/fPun4JiVLlkTv3r2xZMkS6OvrixugHLRo0SJfy128eFHOkRSe7A8AREREYNGiRWjbti0cHBwAAF5eXjhz5gzmzJmj0K3LlI2joyN0dHTg4uICAwMD6eDoHh4eGDZsGF68eCF2iHJRvHhxmJiYYMiQIRg0aJDSlOkeHh5o3749GjVqhCtXrsDX1xdWVlZYvnw5bt26hYMHD4odYoFKSkpCWloatLS0xA6lUHl4eOD69euYOXNmrvMvX74MNzc3heu27/nz51BXV5dpcZPd7t27oaampvA/MkZERGD48OG4dOkSbty4AVtbW7FDkovP7z+1tbWl9yYAsGPHDgDAwIEDCzWuwuLr64uTJ0/i5cuXSE9PR7ly5dCoUSO0atVK4SoQAGD+/PmYNm2a0pXnQEYX6ffu3YO9vT3Mzc0RFhaGDRs2ICEhAR07dkTz5s3FDpGI8omVJ0TZfPz4ESkpKTLTlG0weVJMDx8+ROfOnfHq1StUqFABe/fuRbt27RAfHw8VFRXEx8fj4MGDcHR0FDtUudDW1sajR4+UZlyj7ARBQHh4OARBQOnSpRXyxiyTiooKzM3N0bFjxxxdMGa3Zs2aQoyq8PTo0QPNmzfH2LFjZab/9ddfOH/+PI4ePSpOYFTgDA0Nce3aNdja2kJHR0daeRIYGIgqVaoobD/akZGR2LVrF1xdXfHgwQO0bNkSTk5OcHR0hIaGhtjhyY2DgwN69eqFyZMny2zv27dvw9HREW/evBE7RCIiIiIihcTKE1J68fHxmDFjBvbv34+IiIgc8xWtafzx48fzvayid+OkTNq3bw81NTXMmDEDu3btwsmTJ9GmTRts3boVADBu3DjcvXsXN27cEDlS+XB0dISjoyMGDx4sdiiF6uPHjxAEQfq0V1BQEI4cOYLKlSujbdu2IkdX8JYvXw5XV1dERESgX79+GDp0KKpVqyZ2WIVGW1sb3t7esLGxkZn+4sUL1K5dG3FxcSJFRgWtVKlS8PT0RJUqVWR+TPf09ESPHj0QFhYmdohy5+3tjW3btmHPnj1IT09Hv3794OTkJDPQtKLQ1tbGw4cPYWlpmaOyrFKlSkhMTBQ7xAITHx+PEiVKyG35oop5y2f5oop5y2f5oop5y2f5okpZ8yZSZCpiB0AktunTp+PixYvYuHEjihUrhq1bt2L+/PkwNjaWNhtWJJk/Ime+unXrluPvzBcpjtu3b2Px4sX46aefsHLlSrx9+xZjxoyBiooKVFRUMG7cODx9+lTsMOWmffv2mDlzJqZOnYo9e/bg+PHjMi9F1bVrV2k5Fh0djXr16mHVqlVwdHTEpk2bRI6u4E2fPh1PnjzB0aNHERsbi0aNGqFevXpwdnbGhw8fxA5P7gwMDHDkyJEc048ePSrTJQb9+Fq3bo21a9dK/5ZIJIiLi8O8efPQoUMH8QIrRLVq1cJvv/2GX3/9FfHx8di2bRvq1KmDxo0bK1xf+fr6+ggJCckx/f79+zAxMREhIvmxsbHBkiVL8Pbt2zyXEQQB586dQ/v27bF+/fpCjE5+mDfz/hzzZt4/uv+3d59RUZ1728CvTUcFhNgRCyJWjKJiLwgYBZ8oGjXYjgU1qGgw2BLL0VgSC0gsB6MiEg2xRJNoLBBE7NEIiJEqIGgUoqCgggXY7weXc5ygeVxvZuZ+2HP91mId5t7z4boSD8H5733f7K1fvYmUjE+ekN5r1KgRIiIi0LdvX1haWiI+Ph4ODg745ptvEBkZiSNHjoiOqDW//PIL5s2bh5UrV6Jbt26QJAnnzp3DwoULsXLlSnh4eIiOSBry18P6Xr1zFQDy8/PRoEEDxT1p9ZKBwZvvFZAkSbG9a9Wqhbi4OLRp0wbbtm3Dhg0bkJCQgO+//x6LFy9GSkqK6IhaVVJSgn379mHTpk1ITk7G7du3Fb0VY3h4OCZNmoQBAwaozjy5cOECjh07hm3btundk1dKdvv2bbi6usLQ0BAZGRno1KkTMjIyUKtWLZw6depvD2at6p4/f44ff/wRYWFhiI6ORqdOnTBp0iT4+PigsLAQ8+bNQ2JiIpKTk0VH1Zi5c+fi/Pnz2LdvHxwdHREfH4/8/HyMGzcO48aNw5IlS0RH1Ji0tDQsXLgQP/30E9q3b49OnTqhQYMGMDMzw/3795GcnIzz58/D2NgYCxYswJQpU2BoaCg69j/G3uzN3uzN3uxNRP83cXhCeq9GjRq4du0aGjdujIYNG+LAgQNwcXFBdnY2nJycFL3NSdu2bREaGoqePXuqrZ8+fRpTpkxR/Aer+sTAwAD5+fmoXbs2gBfDk6SkJNXhnEofnuiratWqITU1FY0aNcKIESPQpk0bLFmyBDdv3kSLFi0Uey7CS2fOnEFYWBj27duHNm3aIDY2Fubm5qJjadWvv/6Kr776CikpKZBlGa1bt8bMmTPRpUsX0dFIw0pLSxEZGYn4+HhUVFTA2dkZo0ePVvSfcX9/f0RGRgIAxowZA19f30pb8+Xm5qJJkyaoqKgQEVErnj9/jvHjx+O7776DLMswMjJCeXk5Ro0ahfDwcEV+6HLr1i3s27cPp06dwo0bN1BaWopatWqhQ4cOeO+99+Dp6fm3N0ZUVezN3uzN3krD3vrVm0iJODwhvdeuXTts2LABffr0Qf/+/dGuXTusXbsWX331FVavXo1bt26Jjqg15ubmuHjxIpycnNTWk5KS0KVLF5SWlgpKRppmYGCAgQMHwtTUFABw6NAh9OvXT7W/6tOnT3Hs2DFFDk9ycnIQFRWFsrIy9OnTB61btxYdSWfatWsHX19feHt7o23btjh27Bi6deuGy5cvw8vLC3l5eaIjatzt27cRHh6O8PBwFBcXY8yYMZg4caJe/XsnUio3Nzf4+vpi2LBhbzwgvqysDGfPnkWfPn10nE77MjMzkZCQgIqKCnTo0AHNmzcXHYmIiIiISNE4PCG9FxwcDENDQ8ycOROxsbHw8vJCeXk5ysrKEBQUhFmzZomOqDW9e/eGsbExdu3ahfr16wMA8vLyMHbsWDx79gxxcXGCE5KmTJgw4a3et2PHDi0n0a1Tp07B09NT9YSFkZERdu7cCR8fH8HJdGP//v0YNWoUysvL4ebmhqioKADAqlWrcOrUKRw9elRwQs3y9PREbGws+vfvj4kTJ8LLywtGRkaiY+lUZmYmduzYgaysLKxfvx516tTBsWPHYGdnhzZt2oiOR/9QRUUFrl27prrpITQ0FM+ePVNdNzQ0hJ+fH+9kJL1iaWmJxMRE1Vak+oK92VsfsDd76wN97U1UVXB4QvQXubm5+O2339CsWTO8++67ouNo1fXr1+Ht7Y20tDQ0atQIwIv+jo6O+OGHH+Dg4CA4IdE/06dPH1haWmLLli0wNzfHggUL8PPPP+PmzZuio+lMXl4e7ty5g3fffVf1gerFixdhaWmJli1bCk6nWQYGBqhfvz7q1KkDSZLe+L74+HgdptKduLg4DBw4ED169MCpU6eQkpICe3t7rF69GhcvXsT+/ftFR6R/6Ntvv8WWLVtUNzdYWFigZs2aqiHhvXv3sH79ekyaNElkTK1KT0/HyZMn8eeff1bammvx4sWCUmne7Nmz3/q9QUFBWkzyf99fz3HTF+zN3vqAvdlbH+hrb6KqQr9uxyR6C40aNVINEpTOwcEBSUlJiI6ORmpqqmp/fHd397/94JGoqrh69SpOnTqFBg0aAADWrVuHrVu34v79+7C2thacTjfq1auHevXqqa25uLgISqNdSjo0+f/H/PnzsXz5csyePRsWFhaqdVdXV4SEhAhMRpqyY8cOfPTRR2prcXFxqr9sh4aGYteuXYodnmzduhV+fn6oVasW6tWrp/a7iiRJihqeJCQkqL2+fPkyysvL0aJFCwAvhkiGhobo2LGjiHhERERERHqBwxMiADExMYiJiXntXYxhYWGCUumGJEno378/evfuDVNTUw5NSFEePHiAOnXqqF5Xr14d1apVw4MHD/RmeHLp0iXs27cPubm5atv7AMCBAwcEpdIOfR+eXL16Fd9++22l9dq1a6OgoEBAItK0lJSUvz2/p0+fPvj00091mEi3li9fjhUrVmDevHmio2hdbGys6vugoCBYWFhg586dqv923b9/HxMmTECvXr1ERSQiIiIiUjxuiEx6b+nSpejfvz9iYmJw79493L9/X+1LySoqKvD555/D1tYWNWrUQHZ2NgBg0aJF2L59u+B0RJqRnJyMpKQk1Zcsy0hJSVFbU6rvvvsOPXr0QHJyMg4ePIjnz58jOTkZJ06cgJWVleh4WlVWVoZffvkFW7ZswcOHDwG8OEz+0aNHgpNpT82aNXHnzp1K6wkJCbC1tRWQiDTt3r17qFGjhup1VlYWmjRponptbGyMx48fC0imG/fv38fw4cNFx9C5devWYdWqVWpDf2trayxfvhzr1q0TmIyIiIiISNn45AnpvdDQUISHh2Ps2LGio+jc8uXLsXPnTqxevRqTJ09WrTs5OSE4OFix236QfnFzc8Nfj/caNGgQJEmCLMuQJAnl5eWC0mnXypUrERwcjOnTp8PCwgIhISFo2rQppk6divr164uOpzU5OTkYMGAAcnNz8fTpU3h4eMDCwgKrV6/GkydPEBoaKjqiVowaNQrz5s3Dvn37IEkSKioqcPbsWQQGBmLcuHGi45EG1K1bF2lpaWjWrBmAF08VvSolJaXSNn1KMnz4cERFRVXaukzpiouLkZ+fjzZt2qit//nnn6rhsD7T16em2Vu/sLd+YW/9oq+9iaoKDk9I7z179gzdu3cXHUOIiIgIfP3113Bzc1P7IKJdu3ZITU0VmIxIM14+TaWvMjMz4eXlBQAwNTXF48ePIUkSAgIC0K9fPyxdulRwQu2YNWsWOnXqhCtXruCdd95RrXt7e8PX11dgMu1asWIFxo8fD1tbW9UZVuXl5Rg1ahQWLlwoOh5pgJubG1asWAFPT89K12RZxqpVq+Dm5iYgmfZ89dVXqu8dHBywaNEiXLhwAU5OTjA2NlZ778yZM3UdTye8vb0xYcIErFu3Dl27dgUAXLhwAXPmzMHQoUMFpxPvrzdI6Av21i/srV/YW7/oa2+iqoLDE9J7vr6++Pbbb7Fo0SLRUXTujz/+gIODQ6X1iooKPH/+XEAiIs0ZOnQowsPDYWlpiYiICIwcORKmpqaiY+mUjY2N6q5kW1tb/P7773BycsKDBw9QUlIiOJ32nDlzBmfPnoWJiYnaeuPGjfHHH38ISqV9xsbG2L17Nz7//HPEx8ejoqICHTp0QPPmzUVHIw357LPP4OzsjC5duiAwMBCOjo6QJAmpqalYu3Yt0tLSEBERITqmRgUHB6u9rlGjBuLi4hAXF6e2LkmSYocnoaGhCAwMxJgxY1S/nxkZGWHSpElYs2aN4HTa9+zZM2RnZ6NZs2YwMqr819ejR48qcmtC9mbvV7G3srA3e79Kqb2JlIJnnpDee/LkCYKCgtCnTx/4+/tj9uzZal9K1qZNG5w+fbrS+r59+9ChQwcBiYg05/Dhw6q9/ydMmICioiLBiXSvV69eiI6OBgCMGDECs2bNwuTJk+Hj46O4u9NfVVFR8dqt2G7dugULCwsBiXRj2bJlKCkpgb29PT744AOMGDECzZs3R2lpKZYtWyY6HmlAs2bNEB0djYcPH2LkyJFwdnZGhw4d8OGHH+LRo0eIiop67U0RVVl2dvZbfWVlZYmOqjXVqlXD5s2bUVBQgISEBMTHx6OwsBCbN29G9erVRcfTmpKSEkyaNAnVqlVDmzZtkJubC+DFE0ZffPGF6n09e/ZU1M0R7M3eAHu/xN7KwN761ZtIaTg8Ib2XlJSE9u3bw8DAAL///jsSEhJUX4mJiaLjadWSJUswY8YMfPnll6ioqMCBAwcwefJkrFy5EosXLxYdj+gfadmyJRYsWICdO3dClmXs3bsXERERr/1Sqo0bN+LDDz8EACxYsACBgYHIz8/H0KFDsX37dsHptMfDwwPr169XvZYkCY8ePcKSJUteu92RUixduhSPHj2qtF5SUqLYLdr0kYuLC5KTkxEfH4/IyEhERkbi8uXLSE5ORpcuXUTH0xlZlvVum4vq1aujXbt2ePfddxU9NHlpwYIFuHLlCk6ePAkzMzPVuru7O/bs2SMwmXaxN3sD7K1U7M3egPJ7EymNJOvb3zqISM3x48excuVKXL58GRUVFXB2dsbixYvRv39/0dGI/pFz585h9uzZyMzMRGFhISwsLF57GJ8kSSgsLBSQUHuKi4vf6n2WlpZaTiLG7du34erqCkNDQ2RkZKBTp07IyMhArVq1cOrUKdSpU0d0RK0wMDBAfn5+pUPET5w4gZEjR+Lu3buCkpEolpaWSExMhL29vegoGrN9+3YEBwcjIyMDANC8eXN8/PHHij7P6PHjx/jiiy8QExODP//8ExUVFWrXlfrUTePGjbFnzx507doVFhYWuHLlCuzt7XH9+nU4Ozu/9X/rqhr2Zm/2Zm+lYW/96k2kNDzzhEhPlZWVYcWKFZg4cWKlfcOJlKB79+64cOECgBcfKqelpaFu3bqCU+lGzZo1Xzso+qvXbW2lBA0aNEBiYiIiIyNVZ39MmjQJo0ePhrm5ueh4GmdtbQ1JkiBJkuoMjJfKy8vx6NEjfPTRRwITkihKu0dq0aJFCA4Ohr+/P7p16wYAOH/+PAICAnDjxg0sX75ccELt8PX1RVxcHMaOHYv69eu/1c93Jbh79+5rh92PHz9W9D8D9lbH3srE3urYW5n0tTeR0nB4QnpPX+/mMzIywpo1a/Cvf/1LdBQircvOzlbs0wavExsbq/pelmV4enpi27ZtenMQYUlJCapVq4aJEydi4sSJouNo3fr16yHLMiZOnIilS5fCyspKdc3ExARNmjRRfdBMVJX95z//wdatW+Hj46Nae//999GuXTv4+/srdnhy9OhR/Pzzz+jRo4foKDrVuXNn/Pzzz/D39wcA1QdNW7duVfTPNPZmb4C9lYq92RtQfm8ipeHwhPSevt7NB7zYa/PkyZMYP3686ChEWvXnn38iJCQE6enpkCQJzZs3h4+PDzp37iw6mlb06dNH7bWhoSG6du2qqK17/k6dOnUwZMgQjB07Fh4eHjAwUPYRby+H4E2bNkX37t1hbGwsOBGRdpSXl6NTp06V1jt27IiysjIBiXTD2toaNjY2omPo3KpVqzBgwAAkJyejrKwMISEhuHbtGs6fP6/op6bZm73Zm72Vhr31qzeR0vDME9J7NWvW1Mu7+QBgy5Yt+Pe//43Ro0ejY8eOlQ4fff/99wUlI9KcuXPnYu3atahRowbs7e0hyzKysrJQUlKCwMBAfPnll6Ijat2re+zqgwMHDiAyMhI///wzLC0tMXLkSIwZM0axw7LXKS0txfPnz9XWlHrGDb2Z0v6/7+/vD2NjYwQFBamtBwYGorS0FJs2bRKUTLt27dqFH3/8ETt37kS1atVEx9Gpq1evYu3atWpn882bNw9OTk6io2kVe7M3eysXe7O3PvQmUhIOT0jvNW3aFEeOHEGrVq1ER9G5v7sbW5IkxZ6HQPpj586d+Oijj7BmzRpMnTpVdUf+8+fP8Z///Afz5s3Dli1bMG7cOMFJtUtpH6C+rYcPH2L//v2IjIxEbGwsmjZtijFjxmDx4sWio2lFSUkJ5s6di71796KgoKDSdf5M1z9KOzDe398fERERsLOzQ9euXQEAFy5cwM2bNzFu3Di1p67+OmCpyjp06IDMzEzIsowmTZpUerosPj5eUDIiIiIiImXj8IT0nj7fzUekdC4uLvDx8UFAQMBrrwcFBeG7777DxYsXdZxMtywsLJCUlISmTZuKjiJMcnIyRo8ejaSkJMUOEaZPn47Y2FgsW7YM48aNw6ZNm/DHH39gy5Yt+OKLLzB69GjREUnHlDY4dXV1fav3SZKEEydOaDmN7ixduvRvry9ZskRHSXSruLj4teuSJMHU1BQmJiY6TqQb7K2OvdlbSdhbHXsrszeR0nB4QnpPH+/mO3HiBGbMmIELFy5U2salqKgI3bt3R2hoKHr16iUoIZFmVK9eHVevXn3jB4dZWVlwcnLC48ePdZxMu4YOHar2+tChQ+jXr1+lrfkOHDigy1g69+TJE/z000/49ttvcezYMdSpUwc+Pj6K3aqtUaNGiIiIQN++fWFpaYn4+Hg4ODjgm2++QWRkJI4cOSI6ImnIyZMn0bdv3//1fWfOnEHnzp1hamqq/VBEGmZgYPC3ZxE2bNgQ48ePx5IlSxR1thV7vx57s7cSsPfrsbeyehMpDQ+MJ703ZMgQ0RF0bv369Zg8efJr97+3srLC1KlTERQUxOEJVXmGhoZ49uzZG68/f/4choaGOkykG1ZWVmqvx4wZIyiJGFFRUdi9ezd++OEHGBoa4oMPPsDx48fRp08f0dG0qrCwUPV0kaWlJQoLCwEAPXv2hJ+fn8hopGEDBgyAra0tJkyYgH/961+ws7N77ft69uyp42SkLQ8ePMD+/fuRmZmJOXPmwMbGBvHx8ahbty5sbW1Fx9OK8PBwfPbZZxg/fjxcXFwgyzIuXbqEnTt3YuHChbh79y7Wrl0LU1NTfPrpp6Ljagx7szd7szd7K4O+9iZSHJmI9E6jRo3k5OTkN15PSUmR7ezsdJiISDv69u0rL1y48I3XP/vsM7lPnz66C0Q6YW5uLn/wwQfywYMH5WfPnomOozNOTk7yyZMnZVmWZQ8PD/mTTz6RZVmWQ0JCZFtbW5HRSMMKCgrkkJAQuUOHDrKhoaHcv39/ec+ePfLTp09FR9O6ixcvynPmzJFHjhwpe3t7q30p1ZUrV+TatWvLDg4OspGRkZyZmSnLsiwvXLhQHjt2rOB02tOvXz95z549ldb37Nkj9+vXT5ZlWY6IiJBbtGih62haxd7q2Ju9lYS91bG3MnsTKQ2HJ0R6yNTUVM7IyHjj9YyMDNnMzEyHiYi049ChQ7KhoaE8Z84cOS8vT7V+584dOTAwUDYyMpIPHTokMCFpQ1FRkegIQgQFBckhISGyLMvyiRMnZHNzc9nExEQ2MDCQ169fLzgdaUtCQoLs7+8v16pVS7axsZH9/f3lxMRE0bG0IjIyUjY2Npa9vLxkExMTedCgQXKLFi1kKysrefz48aLjaY2bm5s8Z84cWZZluUaNGqrhydmzZ+XGjRsLTKZd5ubmcnp6eqX19PR02dzcXJZlWc7KylJ9rxTsrY692VtJ2FsdeyuzN5HScFM90lsGBgYwNDSs9GVtbY2uXbsq+iwAW1tbXL169Y3Xk5KSUL9+fR0mItKOQYMGITg4GCEhIWjQoAFsbGxgY2MDW1tbhISEYM2aNRg0aJDomKQBfz2Qsbi4+I1fShUQEICZM2cCeHGwdmpqKiIjIxEfH49Zs2YJTkfa0r59e8yfPx/Tp0/H48ePERYWho4dO6JXr164du2a6HgatXLlSgQHB+Pw4cMwMTFBSEgIUlJSMGLECDRq1Eh0PK25dOkSpk6dWmnd1tYWeXl5AhLpRsOGDbF9+/ZK69u3b1dtVVdQUABra2tdR9Mq9lbH3uytJOytjr2V2ZtIaXjmCemtgwcPvnb9wYMHuHjxIsaMGYOdO3di+PDhOk6mfZ6enli8eDEGDhwIMzMztWulpaVYsmQJP1AmxfD394e3tzf27duHjIwMAICjoyOGDRv2xnMCqOqxtrbGnTt3UKdOHdSsWfO1hzPKsgxJklBeXi4goe41atRI0R8o67vnz5/jxx9/RFhYGKKjo9GpUyds3LgRPj4+KCwsxLx58zB8+HAkJyeLjqoxmZmZ8PLyAgCYmpri8ePHkCQJAQEB6NevH5YuXSo4oXaYmZm9dvCblpaG2rVrC0ikG2vXrsXw4cNx9OhRdO7cGZIk4dKlS0hNTcX+/fsBvBgsjRw5UnBSzWJv9mZv9mZvZdDX3kRKI8myLIsOQfR/0aZNmxAREYFff/1VdBSNy8/Ph7OzMwwNDTFjxgy0aNECkiQhJSUFmzZtQnl5ueoQUiKiqiAuLg49evSAkZER4uLi/va9Sj44/uLFizh58iT+/PNPVFRUqF0LCgoSlIo0zd/fH5GRkQCAMWPGwNfXF23btlV7T25uLpo0aVLpz0FVZmdnhyNHjsDJyQnvvvsu5s+fDx8fH5w/fx4DBgxAUVGR6IhaMWXKFNy9exd79+6FjY0NkpKSYGhoiCFDhqB3795Yv3696Ihak5OTg9DQUKSlpUGWZbRs2RJTp05FkyZNREfTKvZmb/ZWLvZmb33oTaQkHJ4QvUFGRgZcXFxw//590VG0IicnB35+fjh+/Dhe/hiQJAnvvfceNm/ezP+Yk+L88ccfOHv27Gs/VH651REpQ25uLuzs7Co9fSLLMm7evKnYpzFWrlyJhQsXokWLFqhbt65af0mScOLECYHpSJPc3Nzg6+uLYcOGwcTE5LXvKSsrw9mzZxU1LBw1ahQ6deqE2bNnY8WKFQgJCcHgwYMRHR0NZ2dnxW65WlxcDE9PT1y7dg0PHz5EgwYNkJeXh65du+Lo0aOoXr266Ig6l5iYiPbt24uOoXPsrV/YW7+wt37R195EVRGHJ0RvkJSUhPfeew937twRHUWr7t+/j+vXr0OWZTRv3pz7bZIi7dixAx999BFMTEzwzjvvVPpQOSsrS2A60jRDQ0PVFl6vKigoQJ06dRS7bVfdunXx5ZdfYvz48aKjEGlFYWEhnjx5ggYNGqCiogJr167FmTNn4ODggEWLFin+d5jY2FhcvnwZFRUVcHZ2hru7u+hIOlVUVITdu3dj27ZtuHLlimJ/lv8Ve7O3PmBv9tYH+tqbqKrjmSdEb7B161Z06NBBdAyts7a2RufOnUXHINKqxYsXY/HixViwYAEMDAxExyEte3m2yV89evSo0jlPSmJgYIAePXqIjkE6kp6e/sYt2hYvXiwolfaUlZXh0KFDeO+99wC8+PM+d+5czJ07V3Ay7SktLUVMTIzqHLqoqCg8ffoUAHDkyBFERUVh2bJliv65BgAnTpxAWFgYDhw4gMaNG2PYsGGvPYBXadibvdlbudibvfWhN5FScHhCemv27NmvXS8qKsJvv/2GzMxMnD59WsepiEgbSkpK8OGHH3JwonAvf65LkoRFixahWrVqqmvl5eX49ddfFf14fEBAADZt2qTo8w/oha1bt8LPzw+1atVCvXr1Kj1Np8ThiZGREfz8/JCSkiI6is5ERETg8OHDquHJxo0b0aZNG5ibmwMAUlNTUb9+fQQEBIiMqRW3bt1CeHg4wsLC8PjxY4wYMQLPnz/H999/j9atW4uOpzXszd7szd5Kw9761ZtIibhtF+ktV1fX165bWlqiZcuWmDZtGho3bqzjVESkDXPnzoWNjQ3mz58vOgpp0cuf63FxcejWrZvaWRAmJiZo0qQJAgMD0bx5c1ERtaqiogJeXl5IT09H69atYWxsrHZdqedB6KPGjRtj2rRpmDdvnugoOuXq6opZs2ZhyJAhoqPoRO/evREQEABvb28AgIWFBa5cuQJ7e3sAwK5du7Bp0yacP39eZEyN8/T0xJkzZzBo0CCMHj0aAwYMgKGhIYyNjXHlyhXFfujE3uzN3uytNOytX72JlIpPnpDeio2NFR2BiHRk1apVGDRoEI4dOwYnJ6dKHyoHBQUJSkaa9PLn+oQJExASEgJLS0vBiXTL398fsbGxcHV1rXS2DynL/fv3MXz4cNExdG7atGn45JNPcOvWLXTs2LHSQent2rUTlEw70tPT4ejoqHptZmam9gSli4sLpk+fLiKaVkVFRWHmzJnw8/NT7LD7ddibvfUBe7O3PtDX3kRKxf1LiIhI8VauXInjx48jPz8fV69eRUJCguorMTFRdDzSsPXr16OsrKzSemFhIYqLiwUk0o2IiAh8//33OHr0KMLDw7Fjxw61L1KO4cOHIyoqSnQMnRs5ciSys7Mxc+ZM9OjRA+3bt0eHDh1U/6s0RUVFMDL6771ud+/eRZMmTVSvKyoqVGegKMnp06fx8OFDdOrUCV26dMHGjRtx9+5d0bG0jr3Zm72Vi73ZWx96EykVt+0iIiLFs7a2RnBwMMaPHy86CunAwIED8T//8z+YNm2a2npoaCh++uknHDlyRFAy7WrcuDGOHz+Oli1bio5CWvDVV1+pvn/8+DGCgoLg5eX12qfpZs6cqet4OpGTk/O315W23Wrz5s3xxRdfYNiwYa+9vnfvXnz66ae4fv26jpPpRklJCb777juEhYXh4sWLKC8vR1BQECZOnAgLCwvR8bSGvdmbvdlbadhbv3oTKQ2HJ0REpHj16tXD6dOn+di0nrCxscHZs2fRqlUrtfXU1FT06NEDBQUFgpJp144dO3Ds2DHs2LED1apVEx2HNKxp06Zv9T5JkpCVlaXlNKQLs2bNwi+//ILLly/DzMxM7VppaSk6deoEd3d3hISECEqoO2lpadi+fTu++eYbPHjwAB4eHvjpp59Ex9I69mZv9lYu9mZvfehNpAQcnhARkeKtWrUKd+7cUbtzm5SrevXquHDhApycnNTWr169ii5duqCkpERQMu3q0KEDMjMzIcsymjRpUulphPj4eEHJiDTjTR8ySJIEMzMzODg4vPWQqSrIz89H+/btYWJighkzZsDR0RGSJCE1NRUbN25EWVkZEhISULduXdFRdaa8vByHDh1CWFiYXn3oxN7srQ/Ym731gb72JqrKODwhIiLF8/b2xokTJ/DOO++gTZs2lT5UPnDggKBkpA19+/aFk5MTNmzYoLY+ffp0JCUl4fTp04KSadfSpUv/9vqSJUt0lIR06eWv8pIkCU6ifQYGBpAkCX/968vLNUmS0LNnT/zwww+wtrYWlFKzsrOz4efnh+joaLV/1x4eHti8eTPs7e0FJyQiIiIiUi4OT4iISPEmTJjwt9d5mLaynD17Fu7u7ujcuTPc3NwAADExMbh06RKioqLQq1cvwQmJ/rnt27cjODgYGRkZAF6cj/Hxxx/D19dXcDLtiYmJwWeffYYVK1bAxcUFAHDx4kUsXLgQixYtgpWVFaZOnYouXbpg+/btgtNqVmFhoepsEwcHB9jY2AhORERERESkfByeEBERkeIkJiZizZo1SExMhLm5Odq1a4cFCxbw3BtShEWLFiE4OBj+/v7o1q0bAOD8+fPYuHEjZs2aheXLlwtOqB1t27bF119/je7du6utnz17FlOmTMG1a9fwyy+/YOLEicjNzRWUkoiIiIiIlILDEyIiItILL/cYHjJkiOgoGmNjY4P09HTUqlUL1tbWf7t1U2FhoQ6TkTbVqlULGzZsgI+Pj9p6ZGQk/P39ce/ePUHJtMvc3ByXLl1C27Zt1davXr0KFxcXlJaWIicnB61atVLs2UZERERERKQ7RqIDEBERaVvTpk3/9kPlrKwsHaYhXUtNTUVYWBh27tyJ+/fv49mzZ6IjaUxwcDAsLCxU3+vDuRf0YhDYqVOnSusdO3ZEWVmZgES60bFjR8yZMwcRERGoXbs2AODu3buYO3cuOnfuDADIyMhAw4YNRcYkIiIiIiKF4JMnRESkeCEhIWqvnz9/joSEBBw7dgxz5szB/PnzBSUjbXn8+DH27NmD7du348KFC3B1dcWHH36IIUOGoFatWqLjEf0j/v7+MDY2RlBQkNp6YGAgSktLsWnTJkHJtCstLQ2DBw9GdnY27OzsIEkScnNzYW9vjx9//BGOjo744Ycf8PDhQ4wdO1Z0XCIiIiIiquI4PCEiIr21adMm/PbbbzwwXkHOnz+Pbdu2Ye/evWjevDlGjx6NefPmISkpCa1btxYdT6sMDQ1x584d1KlTR229oKAAderUQXl5uaBkpGn+/v6IiIiAnZ0dunbtCgC4cOECbt68iXHjxsHY2Fj13r8OWKo6WZZx/PhxpKenQ5ZltGzZEh4eHjAwMBAdjYiIiIiIFIbDEyIi0ltZWVlo3749iouLRUchDWjdujVKSkowatQojBkzRjUsMTY2xpUrVxQ/PDEwMEBeXl6l4cnt27fRrFkzlJaWCkpGmubq6vpW75MkCSdOnNByGiIiIiIiImXimSdERKS39u/fDxsbG9ExSEOuX7+ODz/8EK6urmjVqpXoODrz1VdfAXjxQfm2bdtQo0YN1bXy8nKcOnUKLVu2FBWPtCA2NlZ0BGHi4uKwdu1apKSkQJIktGrVCnPmzEGvXr1ERyMiIiIiIoXh8ISIiBSvQ4cOagdpy7KMvLw83L17F5s3bxaYjDQpOzsb4eHh8PPzQ2lpKXx8fDB69GjFH6IeHBwM4MWf69DQUBgaGqqumZiYoEmTJggNDRUVj0hjdu3ahQkTJmDo0KGYOXMmZFnGuXPn4ObmhvDwcIwaNUp0RCIiIiIiUhBu20VERIr373//W+0DdAMDA9SuXRt9+/blHfkKdeLECYSFheHAgQN48uQJAgMD4evrC0dHR9HRtMbV1RUHDhyAtbW16CikA5cuXcK+ffuQm5uLZ8+eqV07cOCAoFTa1apVK0yZMgUBAQFq60FBQdi6dStSUlIEJSMiIiIiIiXi8ISIiIgUq6ioCLt370ZYWBji4+PRtm1bJCUliY6lE+Xl5bh69SoaN27MgYrCfPfddxg3bhz69++P6Oho9O/fHxkZGcjLy4O3tzd27NghOqJWmJqa4tq1a3BwcFBbv379Otq2bYsnT54ISkZEREREREpkIDoAERGRthgYGMDQ0PBvv4yMuIOlkllZWWHatGn47bffEB8fj759+4qOpDUff/wxtm/fDuDF4KR3795wdnaGnZ0dTp48KTYcadTKlSsRHByMw4cPw8TEBCEhIUhJScGIESPQqFEj0fG0xs7ODjExMZXWY2JiYGdnJyAREREREREpGT8xIiIixTp48OAbr507dw4bNmwAH8BUntLSUsiyjGrVqgEAcnJycPDgQbRu3Vp1uLoS7du3D2PGjAEAHDp0CDdu3EBqaioiIiLw2Wef4ezZs4ITkqZkZmbCy8sLwIunMR4/fgxJkhAQEIB+/fph6dKlghNqxyeffIKZM2ciMTER3bt3hyRJOHPmDMLDwxESEiI6HhERERERKQyHJ0REpFiDBw+utJaamooFCxbg0KFDGD16ND7//HMByUibBg8ejKFDh+Kjjz7CgwcP4OLiAhMTE9y7dw9BQUHw8/MTHVErCgoKUK9ePQDAkSNHMHz4cDg6OmLSpEmKHhrpIxsbGzx8+BAAYGtri99//x1OTk548OABSkpKBKfTHj8/P9SrVw/r1q3D3r17Abw4B2XPnj2v/XlPRERERET0T3DbLiIi0gu3b9/G5MmT0a5dO5SVlSExMRE7d+5U9BY3+io+Ph69evUCAOzfvx/16tVDTk4OIiIiFD1EqFu3LpKTk1FeXo5jx47B3d0dAFBSUgJDQ0PB6UiTevXqhejoaADAiBEjMGvWLEyePBk+Pj5wc3MTnE67vL29cebMGRQUFKCgoABnzpzh4ISIiIiIiLSCT54QEZGiFRUVYeXKldiwYQPat2+PmJgY1QfrpEwlJSWwsLAAAERFRWHo0KEwMDBA165dkZOTIzid9kyYMAEjRoxA/fr1IUkSPDw8AAC//vorWrZsKTgdadLGjRtVh6MvWLAAxsbGOHPmDIYOHYpFixYJTqddDx48wP79+5GVlYXAwEDY2NggPj4edevWha2treh4RERERESkIJLMzd6JiEihVq9ejS+//BL16tXDypUreXeynmjXrh18fX3h7e2Ntm3b4tixY+jWrRsuX74MLy8v5OXliY6oNfv378fNmzcxfPhwNGzYEACwc+dOWFtb4/333xecjjShrKwMu3fvxnvvvafapk1fJCUlwd3dHVZWVrhx4wbS0tJgb2+PRYsWqZ4uIyIiIiIi0hQOT4iISLEMDAxgbm4Od3f3v9226MCBAzpMRdq2f/9+jBo1CuXl5ejXr59qe6NVq1bh1KlTOHr0qOCEmuXp6YnIyEhYWVkBAFasWIHp06ejZs2aAF6chdKrVy8kJycLTEmaVK1aNaSkpKBx48aio+iUu7s7nJ2dsXr1alhYWODKlSuwt7fHuXPnMGrUKNy4cUN0RCIiIiIiUhAOT4iISLHGjx8PSZL+1/ft2LFDB2lIl/Ly8nDnzh20b99e9Wfg4sWLsLKyQosWLQSn0yxDQ0PcuXMHderUAQBYWloiMTER9vb2AID8/Hw0aNAA5eXlImOSBrm6umLWrFkYMmSI6Cg6ZWVlhfj4eDRr1kxteJKTk4MWLVqotjIjIiIiIiLSBJ55QkREihUeHi46AunQ0KFD3+p9SnvS6K/3wfC+GOWbNm0aPvnkE9y6dQsdO3ZE9erV1a63a9dOUDLtMjMzQ3FxcaX1tLQ01K5dW0AiIiIiIiJSMg5PiIiISBFebltFpHQjR44EAMycOVO1JkkSZFmGJEmKfcpo8ODBWLZsGfbu3QvgRefc3FzMnz8fw4YNE5yOiIiIiIiUhtt2EREREVVhhoaGyMvLU915b2FhgaSkJDRt2hQAt+1SopycnL+9rtSzUIqLi+Hp6Ylr167h4cOHaNCgAfLy8tC1a1ccPXq00hM4RERERERE/wSHJ0RERERVmIGBAQYOHAhTU1MAwKFDh9CvXz/VB8lPnz7FsWPHODwhxYiNjcXly5dRUVEBZ2dnuLu7i45EREREREQKxOEJERERURU2YcKEt3rfjh07tJyEdOWnn3567bokSTAzM4ODg4PqySMlKC0tRUxMDAYNGgQAWLBgAZ4+faq6bmRkhGXLlsHMzExURCIiIiIiUiAOT4iIiIiIqhADAwPVGSevevXck549e+KHH36AtbW1oJSas2XLFhw+fBiHDh0C8GJrujZt2sDc3BwAkJqairlz5yIgIEBkTCIiIiIiUhgD0QGIiIiIiOjtRUdHo3PnzoiOjkZRURGKiooQHR0NFxcXHD58GKdOnUJBQQECAwNFR9WI3bt3Y+LEiWpr3377LWJjYxEbG4s1a9aoDpEnIiIiIiLSFCPRAYiIiIiI6O3NmjULX3/9Nbp3765ac3Nzg5mZGaZMmYJr165h/fr1lQYOVVV6ejocHR1Vr83MzGBg8N97wFxcXDB9+nQR0YiIiIiISME4PCEiIiIiqkIyMzNhaWlZad3S0hJZWVkAgObNm+PevXu6jqYVRUVFMDL6719b7t69q3a9oqJC7QwUIiIiIiIiTeC2XUREREREVUjHjh0xZ84ctSHC3bt3MXfuXHTu3BkAkJGRgYYNG4qKqFENGzbE77///sbrSUlJiulKRERERET/d3B4QkRERERUhWzfvh3Z2dlo2LAhHBwc0Lx5czRs2BA3btzAtm3bAACPHj3CokWLBCfVDE9PTyxevBhPnjypdK20tBRLly6Fl5eXgGRERERERKRkkizLsugQRERERET09mRZxvHjx5Geng5ZltGyZUt4eHionQWiFPn5+Wjfvj1MTEwwY8YMODo6QpIkpKamYuPGjSgrK0NCQgLq1q0rOioRERERESkIhydERERERPR/WnZ2Nvz8/BAdHY2Xf32RJAkeHh7YvHkz7O3tBSckIiIiIiKl4fCEiIiIiKiKiYuLw9q1a5GSkgJJktCqVSvMmTMHvXr1Eh1NqwoLC3H9+nUAgIODA2xsbAQnIiIiIiIipeLwhIiIiIioCtm1axcmTJiAoUOHokePHpBlGefOncPBgwcRHh6OUaNGiY5IRERERERU5XF4QkRERERUhbRq1QpTpkxBQECA2npQUBC2bt2KlJQUQcmIiIiIiIiUg8MTIiIiIqIqxNTUFNeuXYODg4Pa+vXr19G2bVs8efJEUDIiIiIiIiLlMBAdgIiIiIiI3p6dnR1iYmIqrcfExMDOzk5AIiIiIiIiIuUxEh2AiIiIiIje3ieffIKZM2ciMTER3bt3hyRJOHPmDMLDwxESEiI6HhERERERkSJw2y4iIiIioirm4MGDWLdunep8k1atWmHOnDkYPHiw4GRERERERETKwOEJERERERERERERERHRK3jmCRERERFRFfPgwQNs27YNn376KQoLCwEA8fHx+OOPPwQnIyIiIiIiUgaeeUJEREREVIUkJSXB3d0dVlZWuHHjBnx9fWFjY4ODBw8iJycHERERoiMSERERERFVeXzyhIiIiIioCpk9ezbGjx+PjIwMmJmZqdYHDhyIU6dOCUxGRERERESkHByeEBERERFVIZcuXcLUqVMrrdva2iIvL09AIiIiIiIiIuXh8ISIiIiIqAoxMzNDcXFxpfW0tDTUrl1bQCIiIiIiIiLl4fCEiIiIiKgKGTx4MJYtW4bnz58DACRJQm5uLubPn49hw4YJTkdERERERKQMkizLsugQRERERET0doqLi+Hp6Ylr167h4cOHaNCgAfLy8tC1a1ccPXoU1atXFx2RiIiIiIioyuPwhIiIiIioCoqNjcXly5dRUVEBZ2dnuLu7i45ERERERESkGNy2i4iIiIioCigtLcXhw4dVr6OionD79m3k5eXhyJEjmDt3Lp48eSIwIRERERERkXIYiQ5ARERERET/u4iICBw+fBiDBg0CAGzcuBFt2rSBubk5ACA1NRX169dHQECAyJhERERERESKwG27iIiIiIiqgN69eyMgIADe3t4AAAsLC1y5cgX29vYAgF27dmHTpk04f/68yJhERERERESKwG27iIiIiIiqgPT0dDg6Oqpem5mZwcDgv7/Ou7i4IDk5WUQ0IiIiIiIixeG2XUREREREVUBRURGMjP776/vdu3fVrldUVODp06e6jkVERERERKRIfPKEiIiIiKgKaNiwIX7//fc3Xk9KSkLDhg11mIiIiIiIiEi5ODwhIiIiIqoCPD09sXjxYjx58qTStdLSUixduhReXl4CkhERERERESkPD4wnIiIiIqoC8vPz0b59e5iYmGDGjBlwdHSEJElITU3Fxo0bUVZWhoSEBNStW1d0VCIiIiIioiqPwxMiIiIioioiOzsbfn5+iI6Oxstf4yVJgoeHBzZv3gx7e3vBCYmIiIiIiJSBwxMiIiIioiqmsLAQ169fBwA4ODjAxsZGcCIiIiIiIiJl4fCEiIiIiIiIiIiIiIjoFTwwnoiIiIiIiIiIiIiI6BUcnhAREREREREREREREb2CwxMiIiIiIiIiIiIiIqJXcHhCRERERERERERERET0Cg5PiIiIiIiIiIiIiIiIXsHhCRERERERERERERER0Ss4PCEiIiIiIiIiIiIiInrF/wNPmK6idpz0wAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 2000x2000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data Exploration (additional)\n",
    "# Perform EDA techniques such as correlation analysis, distribution analysis, etc.\n",
    "correlation_matrix = df.corr()\n",
    "plt.figure(figsize=(20, 20))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\")\n",
    "plt.title(\"Correlation Matrix\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1165e8a",
   "metadata": {},
   "source": [
    "The features do not show strong correlations with each other so it indicates that they are relatively independent or have minimal linear relationships. In such cases, it is generally safe to use all the features for further analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0954a87a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Model Training and Evaluation\n",
    "feat = df.drop(columns=['Exited'], axis=1)\n",
    "label = df[\"Exited\"]\n",
    "X_train, X_test, y_train, y_test = train_test_split(feat, label, test_size=0.3, random_state=42)\n",
    "\n",
    "SC = StandardScaler()\n",
    "X_train = SC.fit_transform(X_train)\n",
    "X_test = SC.transform(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9ce8c08",
   "metadata": {},
   "source": [
    "Hyperparameter tuning helps in finding the optimal set of hyperparameters for a machine learning model. By searching through different combinations of hyperparameters, RandomizedSearchCV automates this process and identifies the best hyperparameters based on the specified scoring metric and cross-validation. The best model obtained can then be used for further evaluation and prediction tasks."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fbaad103",
   "metadata": {},
   "source": [
    "### Support Vector Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3065b1bd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters:  {'C': 0.6413504879514703, 'gamma': 'auto', 'kernel': 'rbf'}\n",
      "Best Model:  SVC(C=0.6413504879514703, gamma='auto')\n"
     ]
    }
   ],
   "source": [
    "# Define the parameter distribution\n",
    "param_dist = {\n",
    "    'C': reciprocal(0.1, 1),\n",
    "    'kernel': ['linear', 'rbf'],\n",
    "    'gamma': ['scale', 'auto']\n",
    "}\n",
    "\n",
    "# Create the RandomizedSearchCV object\n",
    "random_search = RandomizedSearchCV(\n",
    "    estimator=SVC(),\n",
    "    param_distributions=param_dist,\n",
    "    scoring='accuracy',\n",
    "    cv=10,\n",
    "    n_iter=10,\n",
    "    n_jobs=-1\n",
    ")\n",
    "\n",
    "# Fit the RandomizedSearchCV object to the training data\n",
    "random_search.fit(X_train, y_train)\n",
    "\n",
    "# Get the best parameters and best model\n",
    "best_params = random_search.best_params_\n",
    "best_model = random_search.best_estimator_\n",
    "\n",
    "# Print the best parameters\n",
    "print(\"Best Parameters: \", best_params)\n",
    "\n",
    "# Print the best model\n",
    "print(\"Best Model: \", best_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "bc4f2700",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix (Support Vector Classifier):\n",
      " [[2360   56]\n",
      " [ 362  222]]\n",
      "Accuracy:  86.07 %\n",
      "Precision:  79.86 %\n",
      "Recall:  38.01 %\n",
      "F1-Score:  51.51 %\n"
     ]
    }
   ],
   "source": [
    "# Model Evaluation Metrics for SVC\n",
    "y_pred_svc = best_model.predict(X_test)\n",
    "cm_svc = confusion_matrix(y_test, y_pred_svc)\n",
    "accuracy = accuracy_score(y_test, y_pred_svc)\n",
    "precision = precision_score(y_test, y_pred_svc)\n",
    "recall = recall_score(y_test, y_pred_svc)\n",
    "f1 = f1_score(y_test, y_pred_svc)\n",
    "\n",
    "print(\"Confusion Matrix (Support Vector Classifier):\\n\", cm_svc)\n",
    "print(\"Accuracy: \", round(accuracy * 100, 2), \"%\")\n",
    "print(\"Precision: \", round(precision * 100, 2), \"%\")\n",
    "print(\"Recall: \", round(recall * 100, 2), \"%\")\n",
    "print(\"F1-Score: \", round(f1 * 100, 2), \"%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9abf31c7",
   "metadata": {},
   "source": [
    "### Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "27b9703b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters:  {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}\n",
      "Best Model:  LogisticRegression(C=0.1, penalty='l1', solver='saga')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/bernayilmaz/miniconda3/envs/tensorflow/lib/python3.10/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "# Define the parameter grid\n",
    "param_grid = {\n",
    "    'C': [0.01, 0.1, 1, 10],\n",
    "    'penalty': ['l1', 'l2'],\n",
    "    'solver': ['liblinear', 'saga']\n",
    "}\n",
    "\n",
    "# Create the GridSearchCV object\n",
    "grid_search = GridSearchCV(\n",
    "    estimator=LogisticRegression(),\n",
    "    param_grid=param_grid,\n",
    "    scoring='accuracy',\n",
    "    cv=10,\n",
    "    n_jobs=-1\n",
    ")\n",
    "\n",
    "# Fit the GridSearchCV object to the training data\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# Get the best parameters and best model\n",
    "best_params = grid_search.best_params_\n",
    "best_model = grid_search.best_estimator_\n",
    "\n",
    "# Print the best parameters\n",
    "print(\"Best Parameters: \", best_params)\n",
    "\n",
    "# Print the best model\n",
    "print(\"Best Model: \", best_model)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "24dc5c6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix (Logistic Regression):\n",
      " [[2328   88]\n",
      " [ 402  182]]\n",
      "Accuracy (Logistic Regression):  83.67 %\n",
      "Precision (Logistic Regression):  67.41 %\n",
      "Recall (Logistic Regression):  31.16 %\n",
      "F1-Score (Logistic Regression):  42.62 %\n"
     ]
    }
   ],
   "source": [
    "# Model Evaluation Metrics for Logistic Regression\n",
    "y_pred_lr = best_model.predict(X_test)\n",
    "cm_logistic_regression = confusion_matrix(y_test, y_pred_lr)\n",
    "accuracy_lr = accuracy_score(y_test, y_pred_lr)\n",
    "precision_lr = precision_score(y_test, y_pred_lr)\n",
    "recall_lr = recall_score(y_test, y_pred_lr)\n",
    "f1_lr = f1_score(y_test, y_pred_lr)\n",
    "\n",
    "print(\"Confusion Matrix (Logistic Regression):\\n\", cm_logistic_regression)\n",
    "print(\"Accuracy (Logistic Regression): \", round(accuracy_lr * 100, 2), \"%\")\n",
    "print(\"Precision (Logistic Regression): \", round(precision_lr * 100, 2), \"%\")\n",
    "print(\"Recall (Logistic Regression): \", round(recall_lr * 100, 2), \"%\")\n",
    "print(\"F1-Score (Logistic Regression): \", round(f1_lr * 100, 2), \"%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e45192f",
   "metadata": {},
   "source": [
    "### Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "932eef7d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters for Random Forest:  {'bootstrap': True, 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}\n",
      "Best Model for Random Forest:  RandomForestClassifier(min_samples_split=10, n_estimators=200, random_state=42)\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "# Create the Random Forest Classifier object\n",
    "rf_classifier = RandomForestClassifier(random_state=42)\n",
    "\n",
    "# Define the parameter grid for hyperparameter tuning\n",
    "param_grid_rf = {\n",
    "    'n_estimators': [100, 200, 300],\n",
    "    'max_depth': [None, 5, 10, 20],\n",
    "    'min_samples_split': [2, 5, 10],\n",
    "    'min_samples_leaf': [1, 2, 4],\n",
    "    'bootstrap': [True, False]\n",
    "}\n",
    "\n",
    "# Create the GridSearchCV object for Random Forest\n",
    "grid_search_rf = GridSearchCV(\n",
    "    estimator=rf_classifier,\n",
    "    param_grid=param_grid_rf,\n",
    "    scoring='accuracy',\n",
    "    cv=10,\n",
    "    n_jobs=-1\n",
    ")\n",
    "\n",
    "# Fit the GridSearchCV object to the training data\n",
    "grid_search_rf.fit(X_train, y_train)\n",
    "\n",
    "# Get the best parameters and best model for Random Forest\n",
    "best_params_rf = grid_search_rf.best_params_\n",
    "best_model_rf = grid_search_rf.best_estimator_\n",
    "\n",
    "# Print the best parameters for Random Forest\n",
    "print(\"Best Parameters for Random Forest: \", best_params_rf)\n",
    "\n",
    "# Print the best model for Random Forest\n",
    "print(\"Best Model for Random Forest: \", best_model_rf)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "990142f7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix (Random Forest Classifier):\n",
      " [[2338   78]\n",
      " [ 329  255]]\n",
      "Accuracy (Random Forest Classifier):  86.43 %\n",
      "Precision (Random Forest Classifier):  76.58 %\n",
      "Recall (Random Forest Classifier):  43.66 %\n",
      "F1-Score (Random Forest Classifier):  55.62 %\n"
     ]
    }
   ],
   "source": [
    "# Model Evaluation Metrics for Random Forest Classifier\n",
    "y_pred_rf = best_model_rf.predict(X_test)\n",
    "cm_rf = confusion_matrix(y_test, y_pred_rf)\n",
    "accuracy_rf = accuracy_score(y_test, y_pred_rf)\n",
    "precision_rf = precision_score(y_test, y_pred_rf)\n",
    "recall_rf = recall_score(y_test, y_pred_rf)\n",
    "f1_rf = f1_score(y_test, y_pred_rf)\n",
    "\n",
    "print(\"Confusion Matrix (Random Forest Classifier):\\n\", cm_rf)\n",
    "print(\"Accuracy (Random Forest Classifier): \", round(accuracy_rf * 100, 2), \"%\")\n",
    "print(\"Precision (Random Forest Classifier): \", round(precision_rf * 100, 2), \"%\")\n",
    "print(\"Recall (Random Forest Classifier): \", round(recall_rf * 100, 2), \"%\")\n",
    "print(\"F1-Score (Random Forest Classifier): \", round(f1_rf * 100, 2), \"%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39a7ba55",
   "metadata": {},
   "source": [
    "### Comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87f3a0c1",
   "metadata": {},
   "source": [
    "Based on these performance metrics:\n",
    "\n",
    "The Random Forest Classifier outperforms both SVC and Logistic Regression in terms of accuracy, precision, recall, and F1-score. It has the highest accuracy (86.43%) among the three models.\n",
    "\n",
    "The Support Vector Classifier (SVC) has the highest precision (79.86%), which means it is better at correctly predicting the positive class (Exited=1) when it makes a positive prediction.\n",
    "\n",
    "The Random Forest Classifier has the highest recall (43.66%), indicating it can identify more of the actual positive samples (churned customers) compared to the other models.\n",
    "\n",
    "The Random Forest Classifier also has the highest F1-score (55.62%), which balances both precision and recall.\n",
    "\n",
    "\n",
    "Overall, the Random Forest Classifier appears to be the best-performing model for churn prediction on this dataset, as it provides a good balance between accuracy, precision, recall, and F1-score. However, it's essential to consider the specific requirements and business goals when choosing the final model. For instance, if identifying as many churned customers as possible (higher recall) is a priority, then the Random Forest Classifier might be the preferred choice. On the other hand, if precise identification of churned customers is crucial (higher precision), then the Support Vector Classifier could be considered."
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