NYC_TaxiData.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4ec33c4d-2e1a-4e4e-b5af-e59cf6eca8d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "import fsspec\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import scipy.stats as stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eb96e8e4-1480-4555-8f70-2a2202734556",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the datasets\n",
    "yellow_taxi_data = pd.read_csv(\"D://Users//pshab//Downloads//Yellow_Taxi.csv\")\n",
    "green_taxi_data = pd.read_csv(\"D://Users//pshab//Downloads//Green_Taxi.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2f41772c-5892-4361-8ee3-ddb5ccae0883",
   "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>VendorID</th>\n",
       "      <th>lpep_pickup_datetime</th>\n",
       "      <th>lpep_dropoff_datetime</th>\n",
       "      <th>store_and_fwd_flag</th>\n",
       "      <th>RatecodeID</th>\n",
       "      <th>PULocationID</th>\n",
       "      <th>DOLocationID</th>\n",
       "      <th>passenger_count</th>\n",
       "      <th>trip_distance</th>\n",
       "      <th>fare_amount</th>\n",
       "      <th>extra</th>\n",
       "      <th>mta_tax</th>\n",
       "      <th>tip_amount</th>\n",
       "      <th>tolls_amount</th>\n",
       "      <th>ehail_fee</th>\n",
       "      <th>improvement_surcharge</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>trip_type</th>\n",
       "      <th>congestion_surcharge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>4/30/2023, 8:52:10 PM</td>\n",
       "      <td>4/30/2023, 9:05:26 PM</td>\n",
       "      <td>N</td>\n",
       "      <td>1</td>\n",
       "      <td>244</td>\n",
       "      <td>213</td>\n",
       "      <td>1</td>\n",
       "      <td>6.99</td>\n",
       "      <td>28.90</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.40</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>4/30/2023, 8:29:49 PM</td>\n",
       "      <td>4/30/2023, 8:50:11 PM</td>\n",
       "      <td>N</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>6.60</td>\n",
       "      <td>30.30</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40.55</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4/30/2023, 8:25:19 PM</td>\n",
       "      <td>4/30/2023, 8:32:12 PM</td>\n",
       "      <td>N</td>\n",
       "      <td>1</td>\n",
       "      <td>244</td>\n",
       "      <td>244</td>\n",
       "      <td>1</td>\n",
       "      <td>1.34</td>\n",
       "      <td>9.30</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>4/30/2023, 8:07:06 PM</td>\n",
       "      <td>4/30/2023, 8:27:33 PM</td>\n",
       "      <td>N</td>\n",
       "      <td>5</td>\n",
       "      <td>82</td>\n",
       "      <td>75</td>\n",
       "      <td>1</td>\n",
       "      <td>7.79</td>\n",
       "      <td>22.73</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.29</td>\n",
       "      <td>6.55</td>\n",
       "      <td>-</td>\n",
       "      <td>1.0</td>\n",
       "      <td>32.57</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>4/30/2023, 8:43:31 PM</td>\n",
       "      <td>4/30/2023, 8:46:59 PM</td>\n",
       "      <td>N</td>\n",
       "      <td>1</td>\n",
       "      <td>69</td>\n",
       "      <td>169</td>\n",
       "      <td>1</td>\n",
       "      <td>0.70</td>\n",
       "      <td>6.50</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.00</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   VendorID   lpep_pickup_datetime  lpep_dropoff_datetime store_and_fwd_flag  \\\n",
       "0         2  4/30/2023, 8:52:10 PM  4/30/2023, 9:05:26 PM                  N   \n",
       "1         2  4/30/2023, 8:29:49 PM  4/30/2023, 8:50:11 PM                  N   \n",
       "2         2  4/30/2023, 8:25:19 PM  4/30/2023, 8:32:12 PM                  N   \n",
       "3         2  4/30/2023, 8:07:06 PM  4/30/2023, 8:27:33 PM                  N   \n",
       "4         2  4/30/2023, 8:43:31 PM  4/30/2023, 8:46:59 PM                  N   \n",
       "\n",
       "   RatecodeID  PULocationID  DOLocationID  passenger_count  trip_distance  \\\n",
       "0           1           244           213                1           6.99   \n",
       "1           1            33           100                1           6.60   \n",
       "2           1           244           244                1           1.34   \n",
       "3           5            82            75                1           7.79   \n",
       "4           1            69           169                1           0.70   \n",
       "\n",
       "   fare_amount  extra  mta_tax  tip_amount  tolls_amount ehail_fee  \\\n",
       "0        28.90    1.0      0.5        0.00          0.00         -   \n",
       "1        30.30    1.0      0.5        5.00          0.00         -   \n",
       "2         9.30    1.0      0.5        2.36          0.00         -   \n",
       "3        22.73    0.0      0.0        2.29          6.55         -   \n",
       "4         6.50    1.0      0.5        0.00          0.00         -   \n",
       "\n",
       "   improvement_surcharge  total_amount  payment_type  trip_type  \\\n",
       "0                    1.0         31.40             1          1   \n",
       "1                    1.0         40.55             1          1   \n",
       "2                    1.0         14.16             1          1   \n",
       "3                    1.0         32.57             1          1   \n",
       "4                    1.0          9.00             2          1   \n",
       "\n",
       "   congestion_surcharge  \n",
       "0                  0.00  \n",
       "1                  2.75  \n",
       "2                  0.00  \n",
       "3                  0.00  \n",
       "4                  0.00  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yellow_taxi_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c25fb9ef-0782-4ff2-880b-22fb3d80dae7",
   "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>VendorID</th>\n",
       "      <th>tpep_pickup_datetime</th>\n",
       "      <th>tpep_dropoff_datetime</th>\n",
       "      <th>passenger_count</th>\n",
       "      <th>trip_distance</th>\n",
       "      <th>RatecodeID</th>\n",
       "      <th>store_and_fwd_flag</th>\n",
       "      <th>PULocationID</th>\n",
       "      <th>DOLocationID</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>fare_amount</th>\n",
       "      <th>extra</th>\n",
       "      <th>mta_tax</th>\n",
       "      <th>tip_amount</th>\n",
       "      <th>tolls_amount</th>\n",
       "      <th>improvement_surcharge</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>congestion_surcharge</th>\n",
       "      <th>Airport_fee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4/30/2023, 8:33:13 PM</td>\n",
       "      <td>4/30/2023, 8:53:01 PM</td>\n",
       "      <td>0</td>\n",
       "      <td>7.80</td>\n",
       "      <td>1</td>\n",
       "      <td>N</td>\n",
       "      <td>138</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>33.8</td>\n",
       "      <td>7.75</td>\n",
       "      <td>0.5</td>\n",
       "      <td>8.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>51.65</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>4/30/2023, 8:42:49 PM</td>\n",
       "      <td>4/30/2023, 9:11:18 PM</td>\n",
       "      <td>2</td>\n",
       "      <td>8.10</td>\n",
       "      <td>1</td>\n",
       "      <td>N</td>\n",
       "      <td>138</td>\n",
       "      <td>262</td>\n",
       "      <td>1</td>\n",
       "      <td>35.9</td>\n",
       "      <td>10.25</td>\n",
       "      <td>0.5</td>\n",
       "      <td>9.50</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>57.15</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>4/30/2023, 8:56:34 PM</td>\n",
       "      <td>4/30/2023, 9:13:39 PM</td>\n",
       "      <td>2</td>\n",
       "      <td>9.10</td>\n",
       "      <td>1</td>\n",
       "      <td>N</td>\n",
       "      <td>138</td>\n",
       "      <td>141</td>\n",
       "      <td>1</td>\n",
       "      <td>35.2</td>\n",
       "      <td>10.25</td>\n",
       "      <td>0.5</td>\n",
       "      <td>10.70</td>\n",
       "      <td>6.55</td>\n",
       "      <td>1</td>\n",
       "      <td>64.20</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>4/30/2023, 8:00:52 PM</td>\n",
       "      <td>4/30/2023, 8:20:12 PM</td>\n",
       "      <td>1</td>\n",
       "      <td>8.21</td>\n",
       "      <td>1</td>\n",
       "      <td>N</td>\n",
       "      <td>138</td>\n",
       "      <td>140</td>\n",
       "      <td>1</td>\n",
       "      <td>33.1</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2.24</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>47.09</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>4/30/2023, 8:05:50 PM</td>\n",
       "      <td>4/30/2023, 8:19:41 PM</td>\n",
       "      <td>0</td>\n",
       "      <td>7.90</td>\n",
       "      <td>1</td>\n",
       "      <td>N</td>\n",
       "      <td>138</td>\n",
       "      <td>263</td>\n",
       "      <td>1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>10.25</td>\n",
       "      <td>0.5</td>\n",
       "      <td>9.85</td>\n",
       "      <td>6.55</td>\n",
       "      <td>1</td>\n",
       "      <td>59.15</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   VendorID   tpep_pickup_datetime  tpep_dropoff_datetime  passenger_count  \\\n",
       "0         1  4/30/2023, 8:33:13 PM  4/30/2023, 8:53:01 PM                0   \n",
       "1         1  4/30/2023, 8:42:49 PM  4/30/2023, 9:11:18 PM                2   \n",
       "2         1  4/30/2023, 8:56:34 PM  4/30/2023, 9:13:39 PM                2   \n",
       "3         2  4/30/2023, 8:00:52 PM  4/30/2023, 8:20:12 PM                1   \n",
       "4         1  4/30/2023, 8:05:50 PM  4/30/2023, 8:19:41 PM                0   \n",
       "\n",
       "   trip_distance  RatecodeID store_and_fwd_flag  PULocationID  DOLocationID  \\\n",
       "0           7.80           1                  N           138            43   \n",
       "1           8.10           1                  N           138           262   \n",
       "2           9.10           1                  N           138           141   \n",
       "3           8.21           1                  N           138           140   \n",
       "4           7.90           1                  N           138           263   \n",
       "\n",
       "   payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
       "0             1         33.8   7.75      0.5        8.60          0.00   \n",
       "1             1         35.9  10.25      0.5        9.50          0.00   \n",
       "2             1         35.2  10.25      0.5       10.70          6.55   \n",
       "3             1         33.1   6.00      0.5        2.24          0.00   \n",
       "4             1         31.0  10.25      0.5        9.85          6.55   \n",
       "\n",
       "   improvement_surcharge  total_amount  congestion_surcharge  Airport_fee  \n",
       "0                      1         51.65                   0.0         1.75  \n",
       "1                      1         57.15                   2.5         1.75  \n",
       "2                      1         64.20                   2.5         1.75  \n",
       "3                      1         47.09                   2.5         1.75  \n",
       "4                      1         59.15                   2.5         1.75  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "green_taxi_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1540709f-32a4-4724-ae98-5ce9e11b7f55",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pshab\\AppData\\Local\\Temp\\ipykernel_5464\\4104758355.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
      "  yellow_taxi_data['lpep_pickup_datetime'] = pd.to_datetime(yellow_taxi_data['lpep_pickup_datetime'])\n",
      "C:\\Users\\pshab\\AppData\\Local\\Temp\\ipykernel_5464\\4104758355.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
      "  yellow_taxi_data['lpep_dropoff_datetime'] = pd.to_datetime(yellow_taxi_data['lpep_dropoff_datetime'])\n",
      "C:\\Users\\pshab\\AppData\\Local\\Temp\\ipykernel_5464\\4104758355.py:5: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
      "  green_taxi_data['tpep_pickup_datetime'] = pd.to_datetime(green_taxi_data['tpep_pickup_datetime'])\n",
      "C:\\Users\\pshab\\AppData\\Local\\Temp\\ipykernel_5464\\4104758355.py:6: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
      "  green_taxi_data['tpep_dropoff_datetime'] = pd.to_datetime(green_taxi_data['tpep_dropoff_datetime'])\n"
     ]
    }
   ],
   "source": [
    "# Convert date-time columns to datetime objects\n",
    "yellow_taxi_data['lpep_pickup_datetime'] = pd.to_datetime(yellow_taxi_data['lpep_pickup_datetime'])\n",
    "yellow_taxi_data['lpep_dropoff_datetime'] = pd.to_datetime(yellow_taxi_data['lpep_dropoff_datetime'])\n",
    "\n",
    "green_taxi_data['tpep_pickup_datetime'] = pd.to_datetime(green_taxi_data['tpep_pickup_datetime'])\n",
    "green_taxi_data['tpep_dropoff_datetime'] = pd.to_datetime(green_taxi_data['tpep_dropoff_datetime'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e5609c9a-a583-4bf7-b72c-2b3c4d187bd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Handling missing values\n",
    "yellow_taxi_data.dropna(inplace=True)\n",
    "green_taxi_data.dropna(inplace=True)\n",
    "\n",
    "# Remove rows with zero passenger counts\n",
    "yellow_taxi_data = yellow_taxi_data[yellow_taxi_data['passenger_count'] > 0]\n",
    "green_taxi_data = green_taxi_data[green_taxi_data['passenger_count'] > 0]\n",
    "\n",
    "# Filter out trips with zero trip distance\n",
    "yellow_taxi_data = yellow_taxi_data[yellow_taxi_data['trip_distance'] > 0]\n",
    "green_taxi_data = green_taxi_data[green_taxi_data['trip_distance'] > 0]\n",
    "\n",
    "# Filter out trips with zero fare amount\n",
    "yellow_taxi_data = yellow_taxi_data[yellow_taxi_data['fare_amount'] > 0]\n",
    "green_taxi_data = green_taxi_data[green_taxi_data['fare_amount'] > 0]\n",
    "\n",
    "# Remove outliers in trip distance and fare amount (using z-score)\n",
    "def remove_outliers(df, columns):\n",
    "    z_scores = (df[columns] - df[columns].mean()) / df[columns].std()\n",
    "    return df[(z_scores.abs() < 3).all(axis=1)]\n",
    "\n",
    "columns_to_check = ['trip_distance', 'fare_amount']\n",
    "yellow_taxi_data = remove_outliers(yellow_taxi_data, columns_to_check)\n",
    "green_taxi_data = remove_outliers(green_taxi_data, columns_to_check)\n",
    "\n",
    "# Convert categorical variables to appropriate data types\n",
    "yellow_taxi_data['VendorID'] = yellow_taxi_data['VendorID'].astype('category')\n",
    "yellow_taxi_data['store_and_fwd_flag'] = yellow_taxi_data['store_and_fwd_flag'].astype('category')\n",
    "yellow_taxi_data['RatecodeID'] = yellow_taxi_data['RatecodeID'].astype('category')\n",
    "yellow_taxi_data['payment_type'] = yellow_taxi_data['payment_type'].astype('category')\n",
    "yellow_taxi_data['trip_type'] = yellow_taxi_data['trip_type'].astype('category')\n",
    "\n",
    "green_taxi_data['VendorID'] = green_taxi_data['VendorID'].astype('category')\n",
    "green_taxi_data['store_and_fwd_flag'] = green_taxi_data['store_and_fwd_flag'].astype('category')\n",
    "green_taxi_data['RatecodeID'] = green_taxi_data['RatecodeID'].astype('category')\n",
    "green_taxi_data['payment_type'] = green_taxi_data['payment_type'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fd4232f5-fffe-4d5c-b80c-d1d1150ffae8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    VendorID lpep_pickup_datetime lpep_dropoff_datetime store_and_fwd_flag  \\\n",
      "0          2  2023-04-30 20:52:10   2023-04-30 21:05:26                  N   \n",
      "1          2  2023-04-30 20:29:49   2023-04-30 20:50:11                  N   \n",
      "2          2  2023-04-30 20:25:19   2023-04-30 20:32:12                  N   \n",
      "3          2  2023-04-30 20:07:06   2023-04-30 20:27:33                  N   \n",
      "4          2  2023-04-30 20:43:31   2023-04-30 20:46:59                  N   \n",
      "..       ...                  ...                   ...                ...   \n",
      "994        2  2023-05-01 09:44:37   2023-05-01 09:53:33                  N   \n",
      "995        2  2023-05-01 09:22:00   2023-05-01 09:33:12                  N   \n",
      "997        2  2023-05-01 09:01:12   2023-05-01 09:14:21                  N   \n",
      "998        2  2023-05-01 09:43:54   2023-05-01 09:47:41                  N   \n",
      "999        2  2023-05-01 09:19:10   2023-05-01 09:20:02                  N   \n",
      "\n",
      "    RatecodeID  PULocationID  DOLocationID  passenger_count  trip_distance  \\\n",
      "0            1           244           213                1           6.99   \n",
      "1            1            33           100                1           6.60   \n",
      "2            1           244           244                1           1.34   \n",
      "3            5            82            75                1           7.79   \n",
      "4            1            69           169                1           0.70   \n",
      "..         ...           ...           ...              ...            ...   \n",
      "994          1           236            74                6           1.21   \n",
      "995          1           226            82                1           1.46   \n",
      "997          1            74            42                1           1.93   \n",
      "998          1            33            52                1           0.51   \n",
      "999          1            92            92                1           0.17   \n",
      "\n",
      "     fare_amount  extra  mta_tax  tip_amount  tolls_amount ehail_fee  \\\n",
      "0          28.90    1.0      0.5        0.00          0.00         -   \n",
      "1          30.30    1.0      0.5        5.00          0.00         -   \n",
      "2           9.30    1.0      0.5        2.36          0.00         -   \n",
      "3          22.73    0.0      0.0        2.29          6.55         -   \n",
      "4           6.50    1.0      0.5        0.00          0.00         -   \n",
      "..           ...    ...      ...         ...           ...       ...   \n",
      "994        10.00    0.0      0.5        2.88          0.00         -   \n",
      "995        11.40    0.0      0.5        0.00          0.00         -   \n",
      "997        13.50    0.0      0.5        0.00          0.00         -   \n",
      "998         5.80    0.0      0.5        0.00          0.00         -   \n",
      "999         3.70    0.0      0.5        0.00          0.00         -   \n",
      "\n",
      "     improvement_surcharge  total_amount payment_type trip_type  \\\n",
      "0                      1.0         31.40            1         1   \n",
      "1                      1.0         40.55            1         1   \n",
      "2                      1.0         14.16            1         1   \n",
      "3                      1.0         32.57            1         1   \n",
      "4                      1.0          9.00            2         1   \n",
      "..                     ...           ...          ...       ...   \n",
      "994                    1.0         14.38            1         1   \n",
      "995                    1.0         12.90            2         1   \n",
      "997                    1.0         15.00            2         1   \n",
      "998                    1.0          7.30            1         1   \n",
      "999                    1.0          5.20            2         1   \n",
      "\n",
      "     congestion_surcharge  \n",
      "0                    0.00  \n",
      "1                    2.75  \n",
      "2                    0.00  \n",
      "3                    0.00  \n",
      "4                    0.00  \n",
      "..                    ...  \n",
      "994                  0.00  \n",
      "995                  0.00  \n",
      "997                  0.00  \n",
      "998                  0.00  \n",
      "999                  0.00  \n",
      "\n",
      "[904 rows x 20 columns]\n"
     ]
    }
   ],
   "source": [
    "cleaned_yellow_taxi_data=yellow_taxi_data\n",
    "print(cleaned_yellow_taxi_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e0f67a79-968a-4345-a15c-9985768e02c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    VendorID tpep_pickup_datetime tpep_dropoff_datetime  passenger_count  \\\n",
      "1          1  2023-04-30 20:42:49   2023-04-30 21:11:18                2   \n",
      "2          1  2023-04-30 20:56:34   2023-04-30 21:13:39                2   \n",
      "3          2  2023-04-30 20:00:52   2023-04-30 20:20:12                1   \n",
      "6          2  2023-04-30 20:50:34   2023-04-30 21:12:09                1   \n",
      "7          1  2023-04-30 20:13:58   2023-04-30 20:18:10                1   \n",
      "..       ...                  ...                   ...              ...   \n",
      "995        2  2023-04-30 20:31:30   2023-04-30 20:45:28                1   \n",
      "996        2  2023-04-30 20:07:27   2023-04-30 20:24:06                1   \n",
      "997        2  2023-04-30 20:39:22   2023-04-30 20:46:19                3   \n",
      "998        2  2023-04-30 20:56:37   2023-04-30 21:08:59                1   \n",
      "999        1  2023-04-30 20:01:54   2023-04-30 20:40:44                1   \n",
      "\n",
      "     trip_distance RatecodeID store_and_fwd_flag  PULocationID  DOLocationID  \\\n",
      "1             8.10          1                  N           138           262   \n",
      "2             9.10          1                  N           138           141   \n",
      "3             8.21          1                  N           138           140   \n",
      "6             9.05          1                  N           138           116   \n",
      "7             0.70          1                  N           161            48   \n",
      "..             ...        ...                ...           ...           ...   \n",
      "995           7.80          1                  N            70           262   \n",
      "996           5.25          1                  N           113           238   \n",
      "997           2.26          1                  N           249            87   \n",
      "998           2.33          1                  N           261           232   \n",
      "999          17.90          2                  N           132           143   \n",
      "\n",
      "    payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
      "1              1         35.9  10.25      0.5        9.50          0.00   \n",
      "2              1         35.2  10.25      0.5       10.70          6.55   \n",
      "3              1         33.1   6.00      0.5        2.24          0.00   \n",
      "6              1         38.0   6.00      0.5       10.76          6.55   \n",
      "7              1          6.5   3.50      0.5        2.85          0.00   \n",
      "..           ...          ...    ...      ...         ...           ...   \n",
      "995            1         31.0   1.00      0.5        8.86          6.55   \n",
      "996            1         23.3   1.00      0.5        4.24          0.00   \n",
      "997            1         11.4   1.00      0.5        3.28          0.00   \n",
      "998            1         14.2   1.00      0.5        3.84          0.00   \n",
      "999            1         70.0   4.25      0.5        5.00          0.00   \n",
      "\n",
      "     improvement_surcharge  total_amount  congestion_surcharge  Airport_fee  \n",
      "1                        1         57.15                   2.5         1.75  \n",
      "2                        1         64.20                   2.5         1.75  \n",
      "3                        1         47.09                   2.5         1.75  \n",
      "6                        1         64.56                   0.0         1.75  \n",
      "7                        1         14.35                   2.5         0.00  \n",
      "..                     ...           ...                   ...          ...  \n",
      "995                      1         53.16                   2.5         1.75  \n",
      "996                      1         32.54                   2.5         0.00  \n",
      "997                      1         19.68                   2.5         0.00  \n",
      "998                      1         23.04                   2.5         0.00  \n",
      "999                      1         80.75                   2.5         1.75  \n",
      "\n",
      "[954 rows x 19 columns]\n"
     ]
    }
   ],
   "source": [
    "cleaned_green_taxi_data=green_taxi_data\n",
    "print(cleaned_green_taxi_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d4908c15-893f-4cf2-9be8-e5ee45a98c41",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save cleaned datasets\n",
    "yellow_taxi_data.to_csv(\"D://Users//pshab//Downloads//cleaned_yellow_taxi_data.csv\", index=False)\n",
    "green_taxi_data.to_csv(\"D://Users//pshab//Downloads//cleaned_green_taxi_data.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f87ed1e0-6d65-4d80-9f41-589a0cf071c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                lpep_pickup_datetime          lpep_dropoff_datetime  \\\n",
      "count                            904                            904   \n",
      "mean   2023-05-01 05:42:32.461283072  2023-05-01 05:56:58.667035392   \n",
      "min              2023-04-30 20:01:24            2023-04-30 20:09:45   \n",
      "25%    2023-05-01 04:06:50.750000128            2023-05-01 04:22:15   \n",
      "50%              2023-05-01 06:04:44            2023-05-01 06:14:57   \n",
      "\n",
      "       PULocationID  DOLocationID  passenger_count  trip_distance  \\\n",
      "count    904.000000    904.000000        904.00000     904.000000   \n",
      "mean      93.215708    136.727876          1.31969       2.592821   \n",
      "min        7.000000      4.000000          1.00000       0.010000   \n",
      "25%       74.000000     74.000000          1.00000       1.207500   \n",
      "50%       74.000000    138.000000          1.00000       1.900000   \n",
      "\n",
      "       fare_amount       extra     mta_tax  tip_amount  tolls_amount  \\\n",
      "count    904.00000  904.000000  904.000000  904.000000    904.000000   \n",
      "mean      15.71552    0.349558    0.605088    2.007124      0.162721   \n",
      "min        3.00000    0.000000    0.000000    0.000000      0.000000   \n",
      "25%        9.30000    0.000000    0.500000    0.000000      0.000000   \n",
      "50%       12.80000    0.000000    0.500000    1.440000      0.000000   \n",
      "\n",
      "       improvement_surcharge  total_amount  congestion_surcharge  \n",
      "count             904.000000    904.000000            904.000000  \n",
      "mean                0.980752     20.388241              0.772677  \n",
      "min                 0.000000      4.500000              0.000000  \n",
      "25%                 1.000000     12.200000              0.000000  \n",
      "50%                 1.000000     17.100000              0.000000  \n",
      "                tpep_pickup_datetime          tpep_dropoff_datetime  \\\n",
      "count                            954                            954   \n",
      "mean   2023-04-30 20:27:35.463312128  2023-04-30 20:47:09.400419328   \n",
      "min              2023-04-30 19:48:31            2023-04-30 19:55:42   \n",
      "25%              2023-04-30 20:13:01  2023-04-30 20:29:45.750000128   \n",
      "50%       2023-04-30 20:26:40.500000     2023-04-30 20:43:40.500000   \n",
      "\n",
      "       passenger_count  trip_distance  PULocationID  DOLocationID  \\\n",
      "count       954.000000     954.000000     954.00000    954.000000   \n",
      "mean          1.339623       7.785608     148.78826    152.998952   \n",
      "min           1.000000       0.030000       7.00000      3.000000   \n",
      "25%           1.000000       2.075000     132.00000     89.000000   \n",
      "50%           1.000000       6.850000     138.00000    149.000000   \n",
      "\n",
      "       fare_amount      extra  mta_tax  tip_amount  tolls_amount  \\\n",
      "count   954.000000  954.00000    954.0  954.000000    954.000000   \n",
      "mean     32.212369    2.84696      0.5    5.509015      1.642662   \n",
      "min       3.000000    0.00000      0.5    0.000000      0.000000   \n",
      "25%      11.400000    1.00000      0.5    0.000000      0.000000   \n",
      "50%      29.600000    1.00000      0.5    3.705000      0.000000   \n",
      "\n",
      "       improvement_surcharge  total_amount  congestion_surcharge  Airport_fee  \n",
      "count                  954.0    954.000000            954.000000   954.000000  \n",
      "mean                     1.0     45.730398              1.740042     0.814465  \n",
      "min                      1.0      5.500000              0.000000     0.000000  \n",
      "25%                      1.0     18.840000              0.000000     0.000000  \n",
      "50%                      1.0     40.020000              2.500000     0.000000  \n"
     ]
    }
   ],
   "source": [
    "# Summary statistics\n",
    "yellow_summary_stats = cleaned_yellow_taxi_data.describe()\n",
    "green_summary_stats = cleaned_green_taxi_data.describe()\n",
    "print(yellow_summary_stats.head())\n",
    "print(green_summary_stats.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "59956500-274e-49c3-a325-5fe5c94b47d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                lpep_pickup_datetime          lpep_dropoff_datetime  \\\n",
      "count                            904                            904   \n",
      "mean   2023-05-01 05:42:32.461283072  2023-05-01 05:56:58.667035392   \n",
      "min              2023-04-30 20:01:24            2023-04-30 20:09:45   \n",
      "25%    2023-05-01 04:06:50.750000128            2023-05-01 04:22:15   \n",
      "50%              2023-05-01 06:04:44            2023-05-01 06:14:57   \n",
      "\n",
      "       PULocationID  DOLocationID  passenger_count  trip_distance  \\\n",
      "count    904.000000    904.000000        904.00000     904.000000   \n",
      "mean      93.215708    136.727876          1.31969       2.592821   \n",
      "min        7.000000      4.000000          1.00000       0.010000   \n",
      "25%       74.000000     74.000000          1.00000       1.207500   \n",
      "50%       74.000000    138.000000          1.00000       1.900000   \n",
      "\n",
      "       fare_amount       extra     mta_tax  tip_amount  tolls_amount  \\\n",
      "count    904.00000  904.000000  904.000000  904.000000    904.000000   \n",
      "mean      15.71552    0.349558    0.605088    2.007124      0.162721   \n",
      "min        3.00000    0.000000    0.000000    0.000000      0.000000   \n",
      "25%        9.30000    0.000000    0.500000    0.000000      0.000000   \n",
      "50%       12.80000    0.000000    0.500000    1.440000      0.000000   \n",
      "\n",
      "       improvement_surcharge  total_amount  congestion_surcharge  \n",
      "count             904.000000    904.000000            904.000000  \n",
      "mean                0.980752     20.388241              0.772677  \n",
      "min                 0.000000      4.500000              0.000000  \n",
      "25%                 1.000000     12.200000              0.000000  \n",
      "50%                 1.000000     17.100000              0.000000  \n",
      "                tpep_pickup_datetime          tpep_dropoff_datetime  \\\n",
      "count                            954                            954   \n",
      "mean   2023-04-30 20:27:35.463312128  2023-04-30 20:47:09.400419328   \n",
      "min              2023-04-30 19:48:31            2023-04-30 19:55:42   \n",
      "25%              2023-04-30 20:13:01  2023-04-30 20:29:45.750000128   \n",
      "50%       2023-04-30 20:26:40.500000     2023-04-30 20:43:40.500000   \n",
      "\n",
      "       passenger_count  trip_distance  PULocationID  DOLocationID  \\\n",
      "count       954.000000     954.000000     954.00000    954.000000   \n",
      "mean          1.339623       7.785608     148.78826    152.998952   \n",
      "min           1.000000       0.030000       7.00000      3.000000   \n",
      "25%           1.000000       2.075000     132.00000     89.000000   \n",
      "50%           1.000000       6.850000     138.00000    149.000000   \n",
      "\n",
      "       fare_amount      extra  mta_tax  tip_amount  tolls_amount  \\\n",
      "count   954.000000  954.00000    954.0  954.000000    954.000000   \n",
      "mean     32.212369    2.84696      0.5    5.509015      1.642662   \n",
      "min       3.000000    0.00000      0.5    0.000000      0.000000   \n",
      "25%      11.400000    1.00000      0.5    0.000000      0.000000   \n",
      "50%      29.600000    1.00000      0.5    3.705000      0.000000   \n",
      "\n",
      "       improvement_surcharge  total_amount  congestion_surcharge  Airport_fee  \n",
      "count                  954.0    954.000000            954.000000   954.000000  \n",
      "mean                     1.0     45.730398              1.740042     0.814465  \n",
      "min                      1.0      5.500000              0.000000     0.000000  \n",
      "25%                      1.0     18.840000              0.000000     0.000000  \n",
      "50%                      1.0     40.020000              2.500000     0.000000  \n"
     ]
    }
   ],
   "source": [
    "# Descriptive Statistics\n",
    "yellow_stats = yellow_taxi_data.describe()\n",
    "green_stats = green_taxi_data.describe()\n",
    "print(yellow_stats.head())\n",
    "print(green_stats.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4745a348-8067-48a2-83fb-2c657cc39406",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA9oAAAPaCAYAAABoFyBHAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOy9eXxTdfb//8q+dEuaUCjalkKqpRSwLKK0RUFHQVFEPs7X4mcGKI7OyPJx/DiugLKM+8w4gDqjA8J8foKzKCLouKLSoqJglV0bqBSkLE2bpM12s/3+SO8ly81NSpM2bc/z8ZjHSG7uktt77vt93uec1xH5/X4/CIIgCIIgCIIgCIJICOKevgCCIAiCIAiCIAiC6EuQo00QBEEQBEEQBEEQCYQcbYIgCIIgCIIgCIJIIORoEwRBEARBEARBEEQCIUebIAiCIAiCIAiCIBIIOdoEQRAEQRAEQRAEkUDI0SYIgiAIgiAIgiCIBEKONkEQBEEQBEEQBEEkEHK0Afj9flitVvj9/p6+FIIggiDbJIjUheyTIFITsk2CSA3I0QbQ1taGrKwstLW19fSlEAQRBNkmQaQuZJ8EkZqQbRJEakCONkEQBEEQBEEQBEEkEHK0CYIgCIIgCIIgCCKBkKNNEARBEARBEARBEAmEHG2CIAiCIAiCIAiCSCDkaBMEQRAEQRAEQRBEApH29AUQBEEQBJEYLHYGze0MrE43MlUy6NPkyFLLe/qyCKJXQvZEEP2DZNk6OdoEQRAE0Qc4ZXbgwTf2oaa+mftsUpEeT80ahcEaVQ9eGUH0PsieCKJ/kExbp9RxgiAIgujlWOxMxEQBAHbWN+OhN/bBYmd66MoIovdB9kQQ/YNk2zo52gRBEATRy2luZyImCiw765vR3E6OAUHEC9kTQfQPkm3r5GgTBEEQRC/H6nQLbm+LsZ0giPOQPRFE/yDZtk6ONkEQBEH0cjKVMsHtGTG2EwRxHrIngugfJNvWydEmCIIgiF6OPl2OSUV63m2TivTQp5NSMkHEC9kTQfQPkm3r5GgTBEEQRIpjsTM4erYddY2tOHquPUKgJUstx1OzRkVMGCYV6fH0rFHUkoggOohlSwDZE0H0ZuKxcZZk27rI7/f7u3SEPoDVakVWVhYsFgsyMzN7+nIIguiAbJMgOtd6hO0F2uZ0I0Mpgz49eX1/yT6J3kZn2/h0pz0lErJNor9yoa26kmXr5GiDXkgEkaqQbRL9HYudwcLNdbyqqJOK9FhTVdZjE3+yT6I3kcq2lGjINon+SCraOKWOEwRBEESKQm2GCCIxkC0RRN8mFW2cHG2CIAiCSFGozRBBJAayJYLo26SijZOjTRAEQRApCrUZIojEQLZEEH2bVLRxcrQJgiAIIkWhNkMEkRjIlgiib5OKNk6ONkEQBEGkKNRmiCASA9kSQfRtUtHGSXUcpM5IEKkK2SZBBEjFNkNkn0RvJBVtKdGQbRL9mVSycWmPnJUgCIIgiLjJUvc9Z4AgegKyJYLo26SSjad86viTTz6J8ePHIyMjAzk5Objlllvw/fffh3zn6quvhkgkCvnfr3/96x66YoIgCIIgCIIgCKI/k/KO9meffYYFCxbgyy+/xIcffgi3243rrrsONpst5Hu/+tWv0NTUxP3vmWee6aErJgiCIAiCIAiCIPozKZ86/t5774X8e8OGDcjJycHevXsxadIk7nO1Wo1BgwZ19+URBEEQBEEQBEEQRAgpH9EOx2KxAACys7NDPn/ttdeg1+tRWlqKhx9+GHa7vScujyAIgiAIgiAIgujnpHxEOxifz4d7770X5eXlKC0t5T6fPXs2CgoKMHjwYOzbtw8PPvggvv/+e7z55pu8x3G5XHC5XNy/rVZr0q+dIIjYkG0SROpC9kkQqQnZJkGkJr3K0V6wYAEOHDiA2trakM/vuusu7r9HjhyJ3NxcXHPNNTh69CiGDRsWcZwnn3wSy5cvT/r1EgTROcg2CeJ8axKr041MlQz6tNRQUCX7JHobqWpLiYZskyBS0957TR/thQsXYuvWrdi5cycKCwsFv2uz2ZCeno733nsP119/fcR2vpW/vLw86jdIED0M2SbR3zllduDBN/ahpr6Z+2xSkR5PzRqFwRpVD14Z2SfRu0hlW0o0ZJtEfydV7T3la7T9fj8WLlyILVu2YMeOHTGdbAD49ttvAQC5ubm82xUKBTIzM0P+RxBEz0O2SfRnLHYmYqIAADvrm/HQG/tgsTM9dGUByD6J3kKq21KiIdsk+jOpbO8pnzq+YMECbNq0CVu3bkVGRgZOnz4NAMjKyoJKpcLRo0exadMm3HDDDdDpdNi3bx9++9vfYtKkSRg1alQPXz1BEATRU6RiGpkQze1MxESBZWd9M5rbmZS+fqL30dtsJF7Ilgiie0iFd0gq23vKO9ovvfQSAODqq68O+fzVV1/F3LlzIZfL8dFHH+H555+HzWZDXl4eZs2ahSVLlvTA1RIEQRCpQKqkkXVmEmJ1ugWP1RZjO3HhpMJksbtJFRtJBmRLBJF8LuQdkox3bSrbe8o72rFKyPPy8vDZZ59109UQBEEQqU6sNLI1VWXd4kR1dhKSqZQJHi8jxnbiwujLDmc0UsVGkgXZEkEklwt5hyTrXZvK9p7yNdoEQRAE0RniSSNLNhdSM6ZPl2NSkZ73eJOK9NCn917HJ1VJ5dq+ZJIKNpJMyJYIIrl09h2SzHdtKts7OdoEQRBEnyIV0sguxJHJUsvx1KxREROGSUV6PD1rVK+OMKYqfd3hjEYq2EgyIVsiiOTS2XdIMt+1qWzvKZ86ThAEQRCdIRXSyC7UkRmsUWFNVRma2xm0Od3IUMqgT+/79cI9RV93OKORCjaSbMiWCCJ5dPYdkux3baraOznaBEEQRJ+CTSPbybN63l1pZJlKGdRyCaorClGWp4HL44NSJsE3ja1YX9sg6MhkqXt+cpAoUl1krD84nHykgo10B33JlggilRB6h1QW6eH1+3H0XDv3zu+Od20q2js52gRBEESfgk0je+iNfSGTgO5MI9Ony7F+7nis2VGPtTuM3OflBh3Wzx3fZxwZIXqDyFh/cTjDSQUbIQii9xLtHVJh0GHOxCG45YVdsDNe7p3fX9+1In8sWe9+gNVqRVZWFiwWCzIzM3v6cgiC6IBsk+gKbDS1J9LILHYG7+4/jZxMRUQ0e2yBFmt7uaozIGyfFjuD//3XdyjOzYyI6H/fZMVzt41Omd9/yuyI6nDmpsiCQLLoSRshkgeNnUR3wb5DLA43xGIRxCKgyeKETCLmxrxxBVqsqSqDjfH2u3ctRbQJgiCIPo0fAETde85Wuxvb95/CLqOJSyG/cqgOFcP0cLi9MNvdfdqhMdkY/OKKApwyO0I+vyhLifEFWphsTMr8/lSt7esOUjHVkiCI5NGZcp54vsu+Q35stuHRt/Zjl9HEbSs36LC6qgyLN9ehuZ3BsJz0fveuJUebIAiC6HP0ZNqyxc5gaceEQy2XYHVVGV7d1RCSQl7ZsYqfKinUicbn90MhFWP7/qaIideiyUXwpVgyHTmcBEH0dTozLnbmu8FjXjDsv6srCjmxs/72rqX2XgRBEESfoqd7Ize3M6gJmmC8uqshYgJS08f7NEtEIqz5xMg78VrzST0kom5OMSAIgujHdGZc7OwYGjzmhbPLaEJZnqbPCkvGgiLaBEEQRJ+iuZ3B3uOtWDjFwKv43dyevLRli52By+PFi3eMgVImQaZSGhLJDobtHdoXV/ftbi/qGs1R/wZ2t7enLzGEVFdH74vQPSeI7qMz42I8Pa+DbTW8dVd4x42BmUqkK/uny9k/fzVBEATRZ2lzMrzp2my9WLJ6I/Ol2q2bMy7GtfbNPs1Oxiv4N3AyqeNo9wZ19L4G3XOC6F46My52tud1cOuuaOVS/dW+KXWcIAiC6FNkqeS86dq7jCa8uqsBWarEp7BFS7WLRV9Np8tOE/4bZKelRuSyp8sM+iN0zwmi++nMuNjZntfpSikqDDoA0cul+qt9k6NNEARB9ClcHl/EIM+yy2iCy+NL+DmjpdrVnTCjvGMCEk5f7h3q8sb4G3gT/ze4EOJJkSQSC91zguh+OjMusj2v+eAbt2wuD+aWF6LcoENZnibqefqjfZOjTRAEQfQpYqW9xdqeyHOur23AvPJCVIZNWtjeoX21JrXd6enS9u6isymSRNehe04Q3YvFzqAt1jvZdX57llqOp2aNinC2o41bFocbizfXoSxfizS5cFVyf7NvqtEmCIIg+hSx0t5ibU/kOe2MF4s31+E/iyvh8fn7Te/QWOn5yUjfvxA6myJJdB265wTRfbB6CHMnDhH8Xvg7ebBGFXfP60ylDHbGi7U7jCjL0wiep7/ZNznaBEEQRJ8iUyVDhUGHWp70tQqDDpkX6OQJqSSzqXY7eVJixxVooVHL+rRjHU5OhgLXDs9BcW5mhMLtkSYrcjIUPX2JAM7XFkZ7VvqrUm4yEbKVvlxOQRDdTbAewug8DcoNOt607soiPe87ObjnNTv+HWu2CY5/bLkU33n6o33TCEIQBEH0KZxuL+aWF8IPhAz25QYd5pYXwnkBraViqSSzqXYPvbEvxIHo6yni0chSy7Fsegke3rI/RHm2wqDDEzNHpsz9YGsLoz0rNldqpLinKhfSootshSC6h2A9hPW1DVhdVQYg9F1XWaTHkzNHwmTjd6KBzo1/0c7TX+1b5Pf7/T19ET2N1WpFVlYWLBYLMjMze/pyCILogGyTuBDqGltxx992h/TxVEjFqDthxvraBmy6cwIuy9fGfTyLncHCzXW8Ak6TivRYU1UWserfH1LEhezTYmewcFMdaoyR96yySI+1QfesJ0n0s9Kf6GqLrv5kK90NjZ0EEHi/zXzxc+7f4f2tL9aqIJOI8Yf3v8dHR85y3wu24wsZ/2wuN7JUcjBeH2wuT7+2b4podxKr1QqbzdapfdLS0uhFRxAE0U2kyaVcvRgf6hhiLeHEo5LMTiCCU+36M2fbXLxONgDU1DfjbJsrJe5TcG0hH/2tnjBeYrXoWhPHQkq8aakEQVwY4XoI4e+6f//6Sjz93pGorbjYGu0LHf8sdgbNIlFAAFEE7jv9CXK0O4HVakXBkEKYW1s6tZ9Gm43jPzaQs00QBNENyCSiqDVi5QYdZBJRp45ncQi3I+lvKqrxYHYI3xNLjO3dBdULXxixJt8mG8N9L1Za+SmzA8u2HuDq+ZssTpxVy5CfrcZFWnVSfwdB9GWE3m/lBh3kUnHMVlwX2iWA7DoAOdqdwGazwdzaguuWbIAyMzuufZzWFnywai5sNhs52gRBEN1Aq92FZdNHYOX2gyEiVxUGHZbdNAKtdgaFcR7rlNkBp1u45zNFPSNJk0sEt6tjbO8uqF74whCafKvlEviBiHRTvrRyi53Bsq0HcPvl+Xh1V0NEPf9Tt47Cxdn9Z1JOEIkk2vut3KDDvPJCNFmcgvu3Od0X1CWA7Po85GhfAMrMbKiy+Bu5EwRBED2LRq3AqncO4bJ8LeaVF4bU3T71n8NYcmNJXMdh02OF1Fop6slPmlwqmFUQq9dqd9KZNjZEAKHJd3VFIR7fegA1Aumo7L1tbmdQnJuJV3c1RDwrtUZTQEwvRer5CaI3wr7fmixOHGu2cWPh4s11WNMhWhaNDKXsgjozkF2fJ3VGOoIgCIJIAIzXhy+PtaBkcBb3mUgUSBf/8lgLGK9whJqFTY/de7w1qlorRT350ahlWDSlCECkmveiKUXQqFMrC4Bq6zuHUErqxKG6qDXv4TWdVqcb4zrE5qo7FsXYNnDraxtQE/Z9giA6D2s/T7x7OMRm42nFZbIxne7MQHZ9HnK0CYIgiD6F3eXBC7PHoMniCPl8cJYSL8weAzvPxICvTVG7K5Aea2e8WLy5DtUVhdykQSEVIz9bjdw41JX7I1lqOYZkq7FoShEemlaMdqcX6UopbC4PCrPV/WKC1ZcRSrlXSMWC+7I1nRY7A5VcAo/Xj4nDdPj8qAnraxtgZ7woN+iwuqoMizfXkQYCQSSAcJtVyyWQikV4ZNpwnLY6IRKJOEd4XIGWW0Q+1mzjHf/YqPimOydEnEujkkGjkkEmFcPicHNO9qFTln5n1+RoEwRBEH0KXZoc7ihRa7VcDF1aqJMXrU3RihmlUMslsDNeXmXqj++7KvEX34fwAXhhhzFEfZyt0+1PXEiv6d5AtJT75nZh8cBMlQxNZgc+/f4ccjIVXLSLXQhbsOkbLnJWXVGYdA2Evvr3IYhwWJs12Rj4ATy+9QBe3nmMa/lVlqfBlnsmQqOWY2CmEkDnOjNY7AxMNgZiEfD5URN3DCCw0D02X4vXvvwR/7jrSmTypJz3RfrHryQIgiD6FT4/8M7+pohUt4WTDSHfE2pTtGzrASydXoKH39wfcXyqzRaGu6/GC2//1Bfoaq/pVCdayv3Phufg0g614eC00e+brEhXSHHsnA3b95/itc+7rxqKP31Yj11GExZcbUiqnfX1vw9BhMPa68LNddjbaMbqqrIIwbJgG9CnywXtmbVP1pbGDdFiwpDsqOPvyDwNzrY58ez7P/YLOxPO70kBnnzySYwfPx4ZGRnIycnBLbfcgu+//z7kO06nEwsWLIBOp0N6ejpmzZqFM2fO9NAVEwRBED2J1wes/cQYUXe2y2jC2k+MCA52x2pTNCZfg0lFoeKXpEgdm3h6r/Z1YvWattj75j3IUsuxdHoJ6hpbMX/jHtzz2jeo3vA1vm1sxdLpJbAzHqz5pD6qfU6+NIf7TCETJ83O+uvfhyDY93N1RSGvYFmwDcSy5yy1PMSWJl+agzUC4+/kS3Pg8vj6jZ2lvKP92WefYcGCBfjyyy/x4Ycfwu1247rrroPNZuO+89vf/hbbtm3Dv/71L3z22Wc4deoUbr311h68aoIgCKKncHi8UXuD7jKa4PB4uX/H6hHqYLxYU1WGj++7Cm/dMxEf33cV1lSVUW12DC6092pfor8uNljsDB596wCv2vCStw7AxgjbZzAaVfIWs/rr34cg2PdzWZ4mZh/tWPbMll4E21Is+2Z1HPqDnaV86vh7770X8u8NGzYgJycHe/fuxaRJk2CxWLBu3Tps2rQJU6ZMAQC8+uqrGD58OL788ktcccUVPXHZBEEQRA9hd3nj3p6plEEtl3A1auHqqBlKGSlSXwAX0nu1r5GMxYbeUE8cy4FdNCWGfTKB7ckuz+iJxaDe8Pcj+j7s+9nlEe7AwdoAa898Y6XZ7uaEQ4HY46+jw77XzRkHl8cHxuPlIud9kZR3tMOxWCwAgOzsbADA3r174Xa7ce2113LfKS4uRn5+Pr744gteR9vlcsHlcnH/tlqtSb5qgiDigWyTSATpSqmg8xzc91OfLsf6ueOxZkd9SI1auUGH9XPHUx12EJ2xT326HNNHDsLMMRcjJ1OBdqcXGUopzlid2PLNyZS7r8lwgPgWG4KfS7fPj6Pn2uM+V2+pJ47lwPL13Q1GKhZ1S3lGdy8GJfPvR2MnEY3gd1uWSoY0hRQ+vx/r5ozDwEwlFk4xcGr/4SjlErQ5GSycYsCYfC3UMgl88Id0CKgs0mNlkHCoVCISvJ4stQyrd4SWjqTieyxR9CpH2+fz4d5770V5eTlKS0sBAKdPn4ZcLodGown57sCBA3H69Gne4zz55JNYvnx5si+XIIhOQrZJJIJ0uQTr5ozD2k+MEc7zujnjkC6XhHz/hR1G1DWasXCKIcQxb2i2YfigjO6+/JSlM/aZpZbjganFqO0QQ3N5fHC4vThrdeKBqcUpFb1IlgMU3mtaLZfEFB6KRqx64gsVl+uuBYZgVDIxKov0vFHvyo4odrTfk8jr5esFzi6ETByqg8XBdGohRIhk/f1YaOwk+GgyO/DpD+eQk6EA4/VBJhHjy2MmrHrnMOdYVwS10gt2tssNOrx/8DRuLM1FXWNrxFi6uqoMD72xD6PzNDhlduCVXwYi1O0uj6B9f3O8NWpN+LO3jUa709OnMj56laO9YMECHDhwALW1tV06zsMPP4z77ruP+7fVakVeXl5XL48giC5CtkkkAq/fjxejiLGIRSKsnDECP5xpg0wsgtvrx97GVl4HqNygw5VDdb1+oE8UnbHPs1YnmixOvLu/CbVBf4dKgw5DB6RDKZMgJ6j1S0+RTAcovG9tLOEhoXM1tzPYe7w1YjGIzdJobu986mUyFhgsdgZSiSjqRHtSkR5quTSg/u/3oyb42SjS4+EbhkMbpVQj0dfL11f4QhdCYhFPPXhX3jM0dhLhWOwMjrfYsX1fpLr/2tll2P+TBaWDs+Dy+KCWS7CmqgyLOpztcoMO88oLceAnCx7fdpB/LAXwr19fiaVvHQixl2uLc7Byxggs3Xow5JmvNOiwbHoJZrywi/d6d9Y34+jZdsz+227us74Q6e41jvbChQuxfft27Ny5ExdffDH3+aBBg8AwDMxmc0hU+8yZMxg0aBDvsRQKBRQKRbIvmSCITkK2SSQCh9sXMoEPpqa+GQ63D8++fwQPTh2Ok632qA7QLqMJS7cewNp+0ooqFp2xT5vLg7U76kOcbAAdfxcRVswYkYQr7DzJdoCCe027PNF70cY6V7vLHXUxaHVVGWyuztUTJ2OB4ZTZgWVbD+COCQW45+ph8Pn9ITZV2ZEO3u7yYOlbB/DyL8fC4fbB6ghEr9xeH17+zIh7r7004twXer2xIuDBfx+f348VPE5FIhZdkl0PTmMnEY7Z7saaHfzq/mKIMG3kIMzfuIf7vLJIjy33TEST2Yk9ja1YvLkOa6rK8PxH9bzHrzGacMrs5N7xwWUxR8/Z8MgNwyGTiNBiY5ChlMHj9cHicPOmqHPX7Ai1g77QDjLlHW2/349FixZhy5Yt+PTTT1FYWBiyfezYsZDJZPj4448xa9YsAMD333+PxsZGXHnllT1xyQRBEEQP0u7yxNxeMjgLK7YfRHV5YGIQzQGqSYCz1R9xegQWO4zNcMYQ4ekuukMQixXTq2tsveBzaVRyPPP+97yTZgB44paRnbqmRC8wWOwMlm09gKrL8yGXimF2uHHfzy7Fg1NFaLI4IRWLcLbNBbVcguZ2J176xdgIJeMKgw5Lp4/As+8fwRMzR4ac/0KuN94IOPv3OXq2Peoz29VFFxIHJJIJ34KSjfFEVf+uMTZjbvmQ0M/qm7Fi+yGU5WuxvrYB1RWFSJMLu4mWDsc4WjYIGxmf++rXGJuvwcM3lggej1UjDyYRC549SVIdbYZh0NDQgGHDhkEqvbBTLViwAJs2bcLWrVuRkZHB1V1nZWVBpVIhKysL8+fPx3333Yfs7GxkZmZi0aJFuPLKK0lxnCAIoh+SrhAeb9IVUs65LsvXoixPI/j9/tCKKtG0O2MsdsTY3l10pwMU67kUOhfj9Qm2zGG8nVu4SPQCg8nG4PbL87FhV0OIs8pOtNmU1MuHZCNLJcfDW/bztgtauf0g5pUX4mybK2Ri3dnrvZAIeDIXXfjqwVmSra5O9G2iLSgtmlIkuB+f4vguownzK4bisioNXt3VEHNsZB1joawwdvvaHUb8zutDuUHH+y4rN+hQd8LMe57ePAYnpY+23W7H/PnzoVarMWLECDQ2NgIAFi1ahKeeeqpTx3rppZdgsVhw9dVXIzc3l/vfP/7xD+47f/rTnzB9+nTMmjULkyZNwqBBg/Dmm28m9DcRBEEQvQOFVIxyg453W7lBB4VUzE0y1tc2ICdTOOWSok2dR62QdGl7d8E6QHwk0gE6ZXZgz4+tUZ/LWOeK5QTG2h5OrAUGuVSMo+faYbHH1+PW4/Pj1TAnGwhMtF/dFYiOAYDZzqDdFb2Pdq3RhJxMBRpb7DhldsR9vayNWuwMjp5txw9n2zGvvBALpxigDhM/jNa7N5mLLmw9ePiz1h3q6kTfRWhBScYTHQ6GL3oMAFKJiHOa606Yo76zKg16zjEW6se9y2jiHPaWdgbzygsjjllp0GNeeSHW1zbwHqM3j8FJiWg//PDD+O677/Dpp59i6tSp3OfXXnstHn/8cTz00ENxH8vv98f8jlKpxAsvvIAXXnjhgq6XIAiC6Du02gODOYAIEZh55YUw2xlukmFnvPj48FlUGnS8aaMUbbowVDKJYORCJUsNRztcEIslkQ6Qxc7gwX/v40T3AES0tol1LnWMFM5Y28MRirCWG3R498BprN1hjCpGFJ6q6vP5BSfa1R32qJRJuHTTaLQ7AzWcwZHneCLCfJG98iiKynwRsmRHnYPrwducbmQoZdCn935VZaLnECqp+PT7s1FFCYWixzq1nLPl9bUNvO+scoMO919/Kf788Q8AYvfjZrfvaWzFkVNWlOVrUV1eCJfHx43Fm3Yf563f7u1jcFIc7bfeegv/+Mc/cMUVV0AkOt9PbcSIETh69GgyTkkQBEH0cyx2BiYbA7Vcil+s+wrVFYUhg3ndCTMWb67DG7+ZiB3fn0OFQYdaowkv7zyG1VVl8AG84k00Ee48bq8voCyNyAnawslFcHcy1TmZDNao8Oxto9FqY2B1epCpkkKrlmNgglTRz7a5UNPR5mzx5rqI53LYgDTkxlDVFQGCCxfsTCve9lfRFhjYxajFm+sA8Kdas6JnpRdlocKgxzmrC2KxcO9cl8eHyiI9GK8PmSrhqWemUgo748Ge461cbWasBREAvJG98NRVFr4IWXcsurC/hSASgVAmy8s7j2Hbogo8/nak+vc9k4swf+PXEftUFukhCbJlO+Pl3lm/vfYSbpGs7oQZ8zd+jadmjQpxlqPBbl9f24BtCyvw+LaDIfb4s+E5eOymEXB7DyTN9nqKpDja586dQ05OTsTnNpstxPEmCIIgiERwyuzAsrcO4PYJ+SjIVmNsvpZX4KzSoIdSJsahUxYsnT4CK7cfRK3RxE0mFlxtgFwqRpZKhpwMRa8e4Hsap9uHG0fmhjiVZ6xOON1eAF1PBUxUT+Vk9dFmCVbStTORyuP//vWVGMKfvc4hEkMwS0Ms6fzvCI6wttoZWBxubjEqOLIULEbEip7NnpCPV2sbOEXidXPGCV6/RiXD4zePwAmTHQU6NbfIFU6FQYcMpRR/+PB4hJq6UET46Nn2qJG94Ig6e0+iRcgo6kykOsHvPZU8emaQnfHinNWJ0XkazJ04BGkKKWwuD/b/ZIHT7UVZfmi6d6VBj6XTS3DG7Iw4ztodRi66vXHXjyELh0tuHI4CnRqVBj33eTDB0fOyfA0g8mPZ9BKIRaIIG+uLtpcUR3vcuHF45513sGjRIgDgnOu//e1vpAROEARBJBQ2NXd0fkDAZeIwHRZfY8ANIwchJ1PJ9Rw+Y3HAkJMOEYAHpxbDYndhXnkhqiuGwun2QqOSoUCnxkVadU//pF5PhlKG/+/LIxg+OCskMnzK4sTHh89gZSdVssNJlHOc6DZXfM5/eqx69aDJcrTFgzS5FJt3H49Iuaw7Ycbm3cexfEbpBf2OYEX04FY/4bCp1s3tDIpzM7G+tiHEUWZrOfki7pVFeuRrVfADyFBJca7dhSU3lqCusRUr3znMOfUVBh1WzCjF0XM27DhyDi6PL0JNPVpEOFaNOtsreOn0EozJ1+BYsw2ZKoZ3cYaizkSqEv7eu/faoqgOboVBh9qjJm5hb+EUA+oaW7HLaOJacbHvkiyVDE63F0/95zDumFDAa8t2xovXdzdi6U0lXEaSzw+02hj81OrAihkjsPKdQ9hx5By3T3CGTKVBh6U3jYCD8SJTIUO+Pi3imvui7SXF0X7iiScwbdo0HDp0CB6PB3/+859x6NAhfP755/jss8+ScUqCIAiin8Km5s4tH4K1O4z4/nQbrisZhHf3N4XUXVcadFg1cyQ8Pi88Ph92Gk2YOFQHhUyMgmx1n1g9TxXsjAcPTB2OldtDUwQrDDosu2kE7MyFq44n0jlOZJuraM7/yhmlmFI8IGQCylJu0HEtdIQWD2yMB1UTCqK2z2lzerr0O+IVArM63bzt8IRqOavLC/HDuXasq22IKM14Z1EFmttdSOvosztn/Vd4/OYR3HHiVVOPdf2FejXeXVyJpW8dwMNv7uc+T2TmAkEkE773nkgE3DN5GHzwR0Sn55QP4UpAgPM2KoYINcZmzoaDnWE748V/XzGEN3umwqDD7RPyMfuVL/HUrFERKuOVRXqsmDECD0z1wWIPLBQqJGI0ttixpqoMdSfMuOWFXRibr8WKW0Yk7T6lGklxtCsqKvDtt9/iqaeewsiRI/HBBx9gzJgx+OKLLzByZNdWsQmCIAgiGDY1lxVcuf3yfDy+7WDEinyN0YRHt+zHkzNH4qzDjbU7jJzgU2cjl4QwrTY37vvnt3jhjjF4RCJGmyMw8XJ7fZi/4Wv88f9ddsHHTqRznKiWTkLO/9KtB/DwDcPh8vginNBFU4qgUctiLh48csNw3vpuNtX71bnju/Q74hUCy1TK0GRxRnwnuJbzwanFONnqQF62Cu8fPIPvTprx9Y8tkfZY34wlWw+grKPMo9ygwzP/NQpf/djCfcfmim9BJtb1Z6cpcP+/vouI/F1o5gJBdDd8773SwVmYv3FPyHshL1sFj9ePO/62G3bGy0Wvy/I0YLw+PHxDMX7n83P97cPLRZxuL+7/13fcMdVyKTKVUvzn4GnOxvlaedXUN2PpWwdwWYc9B0fQQ75nbMayrQextp/YXNL6aA8bNgyvvPJKsg5PEARBEACAtI7UW1ZwZUy+FutrG7BwigFleRoudfybxlasr21AO+NFuvJ8um5nnTMiNulKCR67eQSefu9IhHP52M0jYqZTC5HIfsfpCmnIRDT8WUmL0fuaJZbz/6gImD5qcIiTfLbNhSHZ6pg1xjvrm/Ew+Ou7WTJUF9aaKjhVfcmNJdjb2IqV2w9xk+5wMSJ9uhxtLv7oL3t9ZXka3PPaN3jxjjFYu8OIdXPGcbXc4bB9e1lbtTNeVBoGwO31d+r+xxIya+9ExD9Rtf8EkUj43nsujy/ivfDiHWOgkIo5J/uF2WPQZAm0yvP7gdNWF05bHMjNUmHBpm8ilL7ZfdljrpszDq12hvs3X0YLS63RxEXDx+VrAYB75wW/V2vqm3G2zdUv7Cwpjva7774LiUSC66+/PuTz999/Hz6fD9OmTUvGaQmCIIh+hMXOoNUemHywgiuBPtkirK4q402zXV1VBjvjgdkeOmnpjHOWbPrCRF8ti6wpZidam3cfx7LpF546mMh+xyqpGFsXlGNFmApuuUGHdXPGQSERVtNlieX8OxgvbigdFCL0M65Ay/1dY+1vc3lwTfEADB+cFbEgcPiUBR6vL2qNdDTxr2ip6u8uroTVwSBNESlGZGO8OHzKGrUdXrDwEbvwFav1j1ouQV1ja5fuPyAsZFbX2Cq4L2v/Xan97wt2S6QufO89PrVvNtOl3KDDxGE6KGVivLO/iaf7gwF3XzUUf/qwPuTz4LZf7L/ZPthquQSyGDbJ6iHkapSoqw216ynFA/D6XVeguZ2BqZ2B3e3lnO9xBdo+WcaRFEf7oYcewlNPPRXxud/vx0MPPUSONkEQBNElTpkd+OyHc3hn3ymML8zGwskGvFJzDPPKC5GbqcLStw9EOB3sv1fOKMXd/7c3ZFtnnLNkkmwF7O7C5fUK1hS7vJH9UuMlUf2OT5kdqDE2Y3vYJBQIPCtiiLDsppK4jhXL+U9TSAWFfmIuHqikWDZ9BJa8tT/kflYadFhxSynu/vtePDCtmLt2Nko/cagOCqkYzTYGAEKittFS1ZdtPcCbSs3us/d4K9bOLgNEooie1WytJ5/DHf3eSDC/YijKOjJR7Iy30/efJdo9jnZ/2fukkEnw9Y8t8Hh9GJ2nwd7jrVykL5708mh2u2JGKSwOBulKcryJrsH33qs7YY4QQ6s7YcahUxbcWTEU+dlqLBMYC5ffXMplj4zJ12B+xVB8d9LMdREYmKnE4VNWHDhlgVouweqqspD2X3wopGLcfdVQfHO8FdXlhbhjQgGUMgn2/2TGyIuy8Mx7R0KEFCsNemz61RW4c+PXfbKMIymOdn19PUpKIl+OxcXFMBr50w0IgiAIIh7YFkOLrylCToYCjNeHDKUMd00aCrfbD5fXxxvZAwITDJfHh+Z2hvusM85ZMkm0AnZP4veDt46P/fey6Z1zoIJJRL9j9l7PnTgk6rNSY2yG1+eP65qEnP9ygw57jrciTSGNulgSa/FALhFjyVv7I6LINUYTlr11EDeMyuXqJ39VMRR52Wo8/vaBEKc8eMHmQurcg/dZuKkOCyYPw8PThnNpqWyt57gCLe6ZbED1hq+5z4V6gL9/8AzW7jCi0qDHlnsm4rTFha+Pt2B9bQO8/tD7f6FRY777yzoO0TJfgutWhcpLhOz20bf2czXovXHBjEgN2Od+8TVF+M3Vw7DrqAnraxuwvrYB//71lfC/e5hzXtfXNmDdnHE42eqAPkMuOBbaGQ++a2zFtoUVUEhEcHp9eO3LH+Hx+VGWp0Fjix0XZ6sw8uIsyCQivLqrAWX5WkF73v+TBTeMzMXyMJ2UJ2eOxKth3QqAwHvWDz/Wzx2P21/+ss+VcSXF0c7KysKxY8cwZMiQkM+NRiPS0iLl3AmCIAgiXkw2Brdfno9n3zsSoSq+dPqIuNJwWTrjnCWbRIp89TQ+PwQneHH6r1Hpar9j9l5XXZ4v+L3w+sVoRHP+g6O8/ynQCrbZElo8sDjdvKnaQGCi+j/XFuH5j+qxdocRT946EutqGyK+H7xgcyF17sH72Bkvnn3/B7zwyVGuvn1S0QDMvOwi6NPlsDNejCvQYmd9M6d2LAJCJtnB94b9HSu2H0JZvhZ1ja1YXVUGR5A6fVeyPfjubzRRJ/bf1RWFIQ54tPISIbsN7uHdGxfMiJ6H77mvLNJj26IKiADo0uR4etYoHDfZYXa4oZCK8dWPLbiuZBAsdmE7tzPewGLd2wcwv6IQr315nDcTqcKgw8oZpVi74yjqGs28HQZYpfODpyxYySNGmpOpiPoOqzWa8BunB9UVhSlVxpUIkuJoz5gxA/feey+2bNmCYcOGAQg42f/7v/+Lm2++ORmnJAiCIPoJHp+fX/XUaMLy7QexNEa0NE0hxVv3TOy0c5ZsEiny1dO0x1CLjldNWiiC2ZWeq+y9jpXWnBVDZCyYwRoVVs4ohfFce4QqOACMytPgtNWJM20u+Px+2F0eZKnl3G8SWjw4+aND8NyejpWLSUV6jMnXhLSwCmbP8VaY7W6oZBK8eMeYEIGi4EUFvlKKdB5hsmDRpA9/OwnDctI7Pndg2shczJk4BC6PD1KRCAunFGHp9BJYHR5Yne4ItWPgvGPKHnPVjFIAicn2CL+/CpkkqqhTsIMsdE+A+Hp4B19vb1owI3qWaM99TX0zlr99kHvus9RypCuk3LM9feRgmGwuSCXCad6ZShkWTjFgfW0DBmQoMHxwFu/YWms0YdnbB7nFp8Wb63DXpKH47bWXwOPzQy2XIF0uRbPNiWuKB4bUfbPE0mqwOAKtA1OljCtRJMXRfuaZZzB16lQUFxfj4osvBgCcPHkSlZWVeO6555JxSoIgCKIfYLEz8Pr8gtFSmVgsmNomAnBZhyJqKpFIka+ehlWCj4Y6xnYgufXq7L0WSmu+kJKCFjuD+Rv3hHzGpihv2n0cl+VpIiaywb8p2uJBrPuZoZTi4/uugj5djmPNNt7vsNcRnoIeniod7XfLJcJ2Je8QSbLYGTzA4xywv3XxNUUR9ygYdkLOlnkAicv2CL6/XzW0CH432DEQehZi2W34Yk5vWjAjeg6LnUGTxYmqy/Mxr7wwYkFsZ30zfjI70GxjuMW6YBtwN/nw3sHTETXcLJUGPbw+PwZnKfHC7DGwu7yCiuI19c2YO3EI9+/Si7Lwp49+iOi1vXByEe/+sRY12e2pUMaVSJKWOv7555/jww8/xHfffQeVSoVRo0Zh0qRJyTgdQRAE0UdhI5p2xo1MlRxLtuxH1YQCwX3MdgbLpo/Ayu0HQ1JVKww6LLtpBHx+4ZX1niJRIl+pQLpCKjjB44uOBpPsenX2XrNpzQAinN8LKSngc7rYFOWyfC1vtCie35Qmlwo6uelyKQr0aR3XwER8J/g6hFKl950wh/zu4IwCpUyMB6cW4/mPfsCOI+dCzj+vvBAWBwMgDc3tDPYeb43aXi9DKfy3D56Qs5kRycj2yIzzOmI9C7Hq84NVnIHetWBG9Ax8i4x82gE/muy457VvuGdULZdw9pqmkOKiLCUuqywE4I9YXJtTPgT/7+UvUJavwcLJBgzIUMBk4393sKQrpHjxjjHI06rx9HuHeSPfv7nawLtvLK2GuhNm3DQqt89leyStj7ZIJMJ1112H6667LlmnIAiCIPow7GRj7/FWvH7XFXhky37sMpowNyylM5w0pRRPv3cYl+VrAwrXQWm8T//nMJbddOGtpZJJIkS+UgWfz497Jg+DD6HZB+UGHe6ZbIAvRpF2suvVg+81KyLGpgpfpFVBq5ZjYKay08flc7rYKFFwSnQ4sX6TRi3DoimBSFH4/Vw0pQga9XnnLZrjJxSt2mU0YemNJfhVRSF3DdEm+7+7vhi/vGII7G5vSHr8toUVAIB2l1tQZEwuFY6MBzumbB/tZGR7aNPkqDDoIsSZgMBiUJ5WzWUJCD1r8dTns/S2BTOi+4m2yMinHcAuBu053orjLXa8sMMYsrhZWaTH4inD8MDUYjwqEeMnc6hwIavwDwTKNGKVyrS7PLjntW+wbs44XrsBgC+OmVBZpI+4flakTQxEOP3zygvxj68a8asK4bG9N5I0R/vjjz/Gxx9/jLNnz8LnC40erF+/PlmnJQiCIPoAwZONhVMMaHN6uAlBrJVxuUSMHUfOhUTdgrn/+gtvLZVsuirylSrY3F7M37iHc2CDFzvmb/wa//r1lYL7d0e9OnuvT1udONl6fgK6qEM5+0JS1PmcLjYFOVaNYqzfJBUDi6YY8NC0YrQ7vUhXSmFzuRGekRnN8YuF0+2N2f4rYHNHOCVtlmAHUqOS45n3v4+uOH9TCeZ1LGqELxoEO6ZsmQeQnGyPgZlKPDFzJB7Zsj8i8+X3M0uRr4tfvDfcblVyCb5pDK1B740LZkT3E0tc77fXXoL1tQ0oy9dwi1LVFYVYs6M+Urekvhk3lObi3f2n8LupxVFLNgIK5F5kKKVRF5+CF8GE3mXraxvwzqIKLN16IOQ4ZfkaON0+3DR6MB6+oQQ/mmzcmPCPrxqxYkZpn7SNpDjay5cvx4oVKzBu3Djk5uZCJBIuxicIgiCIYIInG2V5Glgc552QaOm+bGp4q43h+uPypa7GEurqaboi8pUq2FzeEKGscOwu4cWO7qxXf/b971Gcm4myPA1KcjOxdvYYfNPYise2HsBzt43u9N8i3OlSygL11bFqFIV+k8nGwOr0YH1Ye5xKgw7zKgphsoVGw/kWbHx+4SwC9vxnrE602OJT0gYiHUgmRns9nw9cFsHD04aj3eWB1+fHF8dMnGPKOt3s9DFZ2R75ujT84eeXobXj/mYqpdCmXVg2Q7jdDspU4vIh2b16wYzofmItMlocbqybMw5Otw8LNn0DQDhbhVX7XhDjnWtjvPjff36L/+/OCfip1QGzw82Nm4dOWTB7QgG3CCb0LrMzXjg9HjwwtRi/cXpg6VBCrzthxv99+SNmTyiARAIU5aTD5vIEOhUEZdL0NZLiaP/lL3/Bhg0b8Itf/CIZhycIgiD6OMGTDTYaymJnvCHpvi6PD3nZKrx/8Ayeee8IHph6KdbOLsP62tDU1UqDDmtnlyFLlbRkLqKDzBj3OCPG9kRGMIWUy002BrMn5PM+K3wObLwEO10WO4NJRfouCa95fH6sq+VX2vcBeJynHCLc8WOvQ+ieNppseHjLftwRQwchSyWLqtwfayGr3elBWf55x+DQKQtKBmehLE+D524bzU3KN+8+jiduHcXtl6xsj4GZygtyrGPRFxbMiO4n1iIjALz4iRFjh2Rz2RJCEWZ2WywF8jSFGMtnjMCSLaFiiZVFetx/3aWYv/Fr7nyxsspOmV14bfdxzq5dHh/K8jQAgNd3N+L3t45Mis2lIkmZbTAMg4kTJybj0ARBEEQfhnWKlDIxJ6aUJpdCJhXjiZmlWPXOYdiZ0GhppUGP0UET98eml+DVsMgfwNaFifDEzNLu/ln9jjSZRFAMLU0mrKKdpQ70hv30h3PIyVBwWQlnrE5MvmRA3A5MLOVyr88v+Kwsu0m4VVw8sNHYx7Ye4E2Zjicq64uhtO+NozF5rHvKeHyoNTajurwQAzIUgsfSquVcK69wYmcjSLn7wGan8PXtfWJm5GScnFeiL2OxM5CKRbw1zsD59O2aMK0StUwSVXyQXaSuNTZHfycX6dHSzuDV2oaIXtc19c2AH/jvKwrw/EeBtl1CWWVzywvx4Bv78NSsUdjAo9Ow6pbSfuNkA0lytO+8805s2rQJS5cuTcbhCYIgiD6Gxc5wtbJSsRi5WUp829gaFmXUY92ccZi/cQ+3sl5h0OH+6y9F1Stfct+zu70RkwWWGmMz7O7UrdHuK7TaXVh6UwlWbjsYGh0x6LD0phK02hnkxaiB9QN4d19TyMRwUpEeV10yIK5riEe53Ov3Cz4r3hjp1vEyWKPCc7eNhsnG4PGbRsDr88POeJGlii8qa2eEo8TBvaiFiHZPKw16ON1evLO/CbuMJiycYrjg6HusbARtmhzPffA9yvK1qC4vhMfnx4NTi8F4fLA63RisCYjRKaViHD3bzpuJQBB9jWDxz9VVZYA/Uik8WMOAjVSr5RLkZCpQFzZesuKDLe0uVBbp8fLOY1g7uwzhCuSVRXosm14S8134P9cWcY42m1W2dHoJlt5YgnaXB1kqGTJVMrQ53Xh61ihIRCLMKy9EdcVQODuEE8+2uZDdz2w4KY620+nEyy+/jI8++gijRo2CTBa6uvnHP/4xGaclCIIgeiGnzA48+O993OR/4RQDvm1s5YkyNgPw4/W7rsDJVgeyVDJkKKWo3vB1iKNhdQg7JbG2E11HLpVi9itf4ulZo/AAJ94lwVmrC7Nf+RL/3/wJgvtzTrIxupMcy+mKR7m8zSn8LMTa3hm6Eo3NUgnvF0stGBC+pw+/uQ83jMzlHOvXv2rE+rnj0dZRY8lGyL5vssYULWIj+HyK5fdMNsDr8WHJjSVYuvVA6EJakR7PzBqFXI0Kp8wOLNxcl5Qe6gSRaoQvCi7eXIfX77oCc9tcIUKSweJ6edkqvHjHGAwflIFlWw/yig+KATx+c0DYz+f346sfWzB2SDYXDc/JVODjw2dR9cqXeOmOsYLXGJ41MyZfgwEZCtz60uewM15MKtLjiZkjIRGJUKhPw2NvHwyxX9a++9tiWVIc7X379uGyyy4DABw4cCBkGwmjEQRBECx8k/8xYYrGwdQYTXhIJIJGJcPnx0xYX9sQ4mRPKtJDrRBOS461neg6YrEIlw7K4FW5LTfoIBELzwUS0d4rHuXyNLnwsxBre3eRiJp1oXsanIqqlkvw1KxRePq9IyGT98oiPZ6cORK5cTi6aXIJbhiZi7kTh4Q4CtUbvsaYfA3GF2ZjdJ4GcycOAQBcrFVhUKYSWWp50nuoE0SqEW6bdsaLDw6dQV1ja9Q66PcPnsHaHUa8u7iCNx0cCNj1jyYb9x6uLNJjyY3D4fH58N0JCw6csuD5j+qxcIoBSrmwWGOaQop1c8ZBJhVDIhKFiBcCHfb55j5clq/F+toGVFcU4jdXDYNCJoZGJe+3YoBJcbQ/+eSTZByWIAiC6GPwTf6lMZwwi8ONgVlK1DW2RjjZT88aBafbKyjUoo5RH0x0HalYhPkVhRE9U1mRsViOdiLae8WjXC4WQfBZUaXIs5KImvVY95RNRa2uKMSru3iE1+qb8ciW/XFnEzz85n7ebbVGE+aVF4Yswkwq0mNNR81nsnuoE0QqYbEzcHm8ePGOMSG11dHqoNkU8ofe2IeFUwywxVATDxZKq6lvxqrth7FkeglOWZwYl68FEFAt9/uF34U+vx/zN+7Bujnj8MsobcJY22Y1VNbuMHK23V9tlqRXCYIgiG6HFT0z2VxYP3c8N7mwM15o04QdJE2aHKdaHJg+ajAev2kEbC5PiAJxw7l2LJxsABA5QVk4uSipv4sIoEuTo7ndhWkjczE3qI/2GasT6QopdGnCk65EtPeKJwp8tt0l+KwkqkY7YfBcTrxXGOuesqJJQq2CdtY347TV2eVsgnCV5GAHujt6qBNEKsAn1sjWVi/eXMd113hk2nAcb7FDLZPA6/dDIhZhbdUY+OBHrETh8FZcNcZm/GR2YHCWEgOzlHjpv8dgYKYSzW3R34WLphRBowx0GnDHEF4Usu3+SNIc7T179uCf//wnGhsbwTBMyLY333wzWaclCIIgUpzgmmy23/WVQ3WoGKaHw+2FQirBlOIB2HHkXMS+5QYdvF4fTlocuPqSAbxprGYHA126AtNH5nLtvxRSMc5andBnyGFxMBH7EIln464fcevYi5GTqUC704sMZWDKsfHzH/HEzJGC+3YmVTpa+654ei+bbAycbh9uDHtWzlidcLq9EKdIuZvFzuC4yY7t+09FTIIL9WlQyyUxJ7JC97TSoMMZqxOAcKsgADjZ6uDSvKMRr1MfDOtAd2cPdYJIJuy7qd3lhkYtB+Pxod3lQaZKhnSFFMu2HojI3mDtu7qiEGt3GLHvhBlV4/Pw/Ecn8f8uz4/INnliZmlUNXFWpTwctVyCd/Y34ZEt58t7pxQPwEPThvO+C3MzlcjXpyEfaTh6tl3wNwvZdn8kKY7266+/jl/+8pe4/vrr8cEHH+C6667DDz/8gDNnzmDmzJnJOCVBEATRC7DYmRAnm6+1T6VBjyXTA22Vgp1tNmVOLhPjhtJBUSf6WrUcK7YfQsngLOQEtRH5yeLEh+8exrLpXW/ZRAjTYmOw+NpLsGL7wYj2L0unj0BLjP7U8TjJQOz2XbF6L+vS5Hjy3cO4NDczpOXMKYsTnxw5i+duG52we9IVWu0M1nxSzyt4BAC/v0VYoAyIfk8Dyv3FkEqAdXPGhdhMNGJFqISc+miTf9aBTmQPdYLoKcJVxJ95//sIzYM5E4fg86OmiK4Bu4wmVJcXcgKCYpEIq2aOxP3//DbiHbDqncNYN2ccwtXEw1XKg/HytAtkx9o7JhSEfC4SiaBRn1/c6opt90eS4mg/8cQT+NOf/oQFCxYgIyMDf/7zn1FYWIi7774bubm5yTglQRAE0Qs42+biVt7ZWtC6RnNkD9DjLfjlFUNwx4SCEDGlf3zViOduGy04yXd7/dhx5BxvRBwAHp6WYunAfZRwJxsI1PCt3H4QK2fE7mUey0mOVzRLSO07Sy3H8hmleOiNfSGLPfH0tu5ObIxXsI+2Lc72Xnz3VC4R4bFtBzl7WTjFgAqDDrVGE5dxwtqmRi2Dg/HC5hKOUAk59XN5Jv/BDnS8iywEkaoEv5sWTjFE1Tzw+f1c5DqcNIU00AJvw9cYV6DF0uklvO237IwX8zfuCVEpH6JT49swlXIgEMleemMJFFJxRE24nfFix5FzuGNCAaefwGdzXbHt/khSHO2jR4/ixhtvBADI5XLYbDaIRCL89re/xZQpU7B8+fK4j7Vz5048++yz2Lt3L5qamrBlyxbccsst3Pa5c+di48aNIftcf/31eO+99xLyWwiCIIjEYXacn6CX5Wk4wZfwqHa5QYfHbxqBGS/s4iYK8bYHaXcJt2SyxdhOdB2nxxfVMaw1muCMkZ7MIuQkJ0o0K5ZDnyiipbjHgz2G4FGs7cEE31OLnYloo8XapEIqRtWEAl7b/P0twqn/AP99VcrEePztg7wihsH3orv+JgSRDILfTUKaB2zkmg+by8Ptt7O+OWTsDMfOeHGy1YF7XvsGALBh7njkZCpRlq/h3sNquQTr5ozDi58YUbMlNPLN1oTbGS+yVIFabCGb64pt9zeS4mhrtVq0tbUBAC666CIcOHAAI0eOhNlsht1u79SxbDYbRo8ejerqatx6662835k6dSpeffVV7t8KheLCL54gCIJIGuqgdkkujy+qwvEuowkrth3C63ddgXNtLgzWqJCdJg9J740G1Xj2PLFq8hJRs5dI0ayu9LiOh1gp7rHIUAlP12JtjwbfYoWd8WLx5jqsqSrDhii2uWzrgbiUhPnu63O3jY7LgU7234QgkkXwuymW5gHfdr4U7FitBtna6HKDDns6otTVFYWoLi9EukIKlVyCZ947gtoo5SdsZF2rlmNYTrrguYCu2XZ/IimO9qRJk/Dhhx9i5MiRuO222/A///M/2LFjBz788ENcc801nTrWtGnTMG3aNMHvKBQKDBo0qCuXTBAEQSQJi52BycZAKhZBLBJh3ZxxEIlEyFRKoZBGX+2vMTbj185h8ANwuj0YmJkZ1/moxrPnibWYkYjFjt6yoNLVvtAWOwOrwx1V8KjSoIf2Aiez0YQB2agUX6oqEJkx0JloPTnQRF8n+N3EJw4WjEYV+p6KVludJpfGrI0O3pdtsQUAb/zmSrQ7PRFONgsbWY9XaDIaZNuRJMXRXrt2LZzOgHrlo48+CplMhs8//xyzZs3CkiVLEn6+Tz/9FDk5OdBqtZgyZQpWrVoFnU4X9fsulwsul4v7t9VqTfg1EQTRecg2+x6nzA4s23oAt1+ej427GkIm7k/MLI0Zofb6/Vi8uQ7bFlbEfU6q8UwOnbHPLJWMq/MNp8KgQ5aq605wb1lQ6WqKe3M7g3te+wabfnUFVm47GNGXfFUcdsTHKbMDTnf0aFusSBybMdDVaD3RdWjsTC2C302sAxytP7XD7cW/f30lGI8PfgBfHDNF1FZPKtJDo5bhqVmjImyt0qDHYzePwMmWQMZw+L4AoFHJYUHsbhudEZok4iMpjnZ2djb332KxGA899FAyTgMgkDZ+6623orCwEEePHsUjjzyCadOm4YsvvoBEwp9m8eSTT3aqTpwgiO6BbLNvwUbyxhZosWFXQ4TTteqdw/jX3VcKHsPt8WFcgbbTThPVeCaezthnmlyCVbeMxJK39of83SsMOqy6ZWTMNMh46C0LKl1Ncbc63WhuZzD7lS/x9KxReGBaMdqdXqQrJThrdaHNwQBI69Q1sbY5Ok8T1QkIj7SFk6GUhXQRCCbeaD2RGGjsTC2C302s5gEQ2p+60qDH/ddfivkbv4ad8eKF2WOglIlR19ga4ihXBr3PstTA0uklONFih8vjw8VaFT44dAbv7D+FrxpaeO043kXH/Gw11y7zjNWJB//9XURGC9l15xH5/f6Ey69KJBI0NTUhJycn5HOTyYScnBx4vfGLdgQjEokixNDCOXbsGIYNG4aPPvooapo638pfXl4eLBYLMgVSE5uamjB48GDc/MzbUGXp47pmh6UZbz9wM06dOkWK6wQRgwu1TSI1OXq2HTetrcU/7r4CN63Zxfude68twt7jrbwRv3KDDtNHDY7aL5voXjpjn8fOteOnVgdkUhHSFFLOMbS5PHB7/LhIq8LQAbHrAOOBTW9M1QWVo2fbcc0fP4u6/eP7rhKsiezq/tGOedPaWtw1aSiuGZ6Ds1YXRCIRp0A8tkCLp24diYff3B81Y2BNVRlOW524/vmahF4b0Xlo7ExN2HeTzRV4N1mcHjRZHJBLAl00Dp2yYPaEAi5N/O6rhuLmUYPhcHs5YbKcDEXI+4y13eqKQlw/YiBOtDigkkmgS5fj+Y9+COm2UWnQY+UtpRiiT4PFzmDR5jpBe85Sy3HK7MCPzTbM/tvuqL+L7Dp+khLRjua7u1wuyOXJHfyGDh0KvV4Po9EY1dFWKBQkmEYQKQjZZu8nuKZLIRVjTVUZzlpdUb//8s5j2HLPRKzcfigk8llp0GHpTSMgFoGc7BShM/bp8fnxl51Ho6ZLPn7TiIRdVyLqAruiCB6Lrqa4JyNFvt3l5tT+n/+onvu80qDDW/eUww8/GI8PT8wciUe27OfNGACAk60OwfMkQvSOiA2NnakJ+26y2Bm8e+A0cjIU8PsDgUMA+PJYCycKunaHEX/6sB5XFQ3AZfnaqMfUp8uxfu54rNlRH9EN4HfXF+OXVwyB3R1w0p1uL5rbXfD6/dCnxc4AYjNdqi7PF/xdZNfxk1BHe/Xq1QACD9Df/vY3pKefX+3wer3YuXMniouLE3nKCE6ePAmTyUTRY4IgiG7mlNnBpZGy/XenjRiE01Zn1H3sjBdNZicuy9fiN1cbIJOI0eZ0o+6EGbe8sKtTtdlE6uDz+fn7o3dETL2+1Oll3mR24NMfziEnQwGXx4dWuxtfNbQkLJOiqynuyUiRz1LJ8Mz730f29jWasHz7QTw4tRjXP1+Dnw3PwZO3joTT7YvIGDh6tj3meVJFkI4gko3QYp3Z7g4JQkpEIlQYdJg6YhBOtNqRp1UDCLTWi8dmXthh5O0GABxBWb4WdY2tnCjamqoy/NdfvuDeF0IlVayexNyJQwTPT3YdPwl1tP/0pz8BCES0//KXv4TUSMvlcgwZMgR/+ctfOnXM9vZ2GI3nV2waGhrw7bffIjs7G9nZ2Vi+fDlmzZqFQYMG4ejRo3jggQdgMBhw/fXXJ+ZHEQRBEDEJrtVUyyVctKwkNxOHmqyCYjB7GluxdocRa3cYsW1hOX7+1z0AUkvQiugcTrcnan/01VVlcLovrIQs0VjsDI632LF936mQ57PcoEOhPg1quSQhke2uagYkUnPglNkBs8MTtc/5LqMJTIcQ2oeHz8Ll8WFNVVlEqqi1Y0Esmm1Xkv0S/YRowmFPzBwJn9+PJosD7+xvwi6jiRsfX97REPHOWT93fEybaW5neLsPAAHbfWhaIKC5eHMdyvI1XJuwnfXNeLCjvjpa2jerJyFk1zQud46EOtoNDQ0AgMmTJ+PNN9+EVhs99SFe9uzZg8mTJ3P/vu+++wAAc+bMwUsvvYR9+/Zh48aNMJvNGDx4MK677jqsXLmSUmgIgiC6kbNtLm7wD+6NXV1eGFUMhq+NiaNDBTnVBK3iJZkpyL0JjVqOZz/4IUrUBfj9LaU9cVkRmO1urNlRH/U6n7hlZML+fl1NcU9UivyDb+zD7AnCqaHn2s+Xe0RTRs9UygRte+WM0oQ/+2RfRKoh2L7vzX1YOr0Eaz4xhvSrfjVKf3qxSIS1HfYUjVjiiidbHVi7w8g7vsbqcsC2JYsq4Jbkcbkv2ndSarQ/+eSTkH97vV7s378fBQUFnXa+r7766qg13wDw/vvvX9A1EgRBEInD7Dg/+Jflne+NXXfCjLJ8DRZvrkN1RSEemlaMEy0OKKQBMZjwViQZSik+vu+qlBO0igdqh3Iep8cnGDF1xmgd1V3YGOHIro3xdPMVJRc2NXReeaHg9xTSUFV4vppMfboc4wq0nG1XlxfC5fFBIRXjbJsLWnVi00vJvohUhLUptlwqvFTG4/WHvGOCx8dwauJo95cZI217iC4N7ywux38OnOFt9SVUXx2sBxFu1xqVDMNy0i+olWA89FX7Fu6ifoHce++9WLduHYCAkz1p0iSMGTMGeXl5+PTTT5NxSoIgCKKHsNgZpCvOr9sG999dX9uAeeWFKMsPTC7eP3gGr+0+jvkb92DtDmPIJKDcoINULMKwnPRe52QLRjXe2AeLPXYP076E1RGjZVWM7d2FjRFOYQ+fpPZ22GiY3+9HhUHH+50Kgy4iwMFXk8nWjo8r0GLtDiPmb9yDe177Bhs//xFXXzIgoTZM9kWkKhYHw6WD1zW2cnZQveHriFZdQPz96aOhT5ejsoi/81G5QYe6xlYwHn/E+MoiVF/N2vSkIj3sjJez69e/akShPi1pTnZftu+kRLT/9a9/4b//+78BANu2bcOPP/6II0eO4P/+7//w6KOPYtcu/jYvBEEQRO/CYmfQZHXC5vLgnUUVYLw+yKXn13DtjDdkZdzj8+PWsovw2NYDIT062TQ3iVjUEz+jy7BRDT5ipev1RTJVsqgRnvW1DciM0aO5u4jVKzqrY3tfSWlko2ESkQhzywvhR2TK99zyQkhE5+1QqCazu/rVk30RqUL4u0CrluPuq4ZGTQf/3fXikHfhgAzh0tZYQmNZajlW3DwCS7YeiFqK9a+7r+TdN5766u6y6WD6sn0nxdE2mUwYNGgQAODdd9/FbbfdhksuuQTV1dX485//nIxTEgRBEN0MX6pXuUGHB6YW49lZI5GdrghxsBZtrsPYfC1uGp2L0flazA1KNa07YcY/vmrEc7eN7sFfdOHEqpvrb+1QFBIxXuVpQVNp0OHVueOhkCQloa7T5GQoUFmk553kVRbpkZOhSFhKY3c763znY1ND7W4v7v/XdxEp32w5B2uH8WglJKJ2PBZkX0QqwPcuqCzSY9n0Evz1s2O8++wynuPaca2vbcCaqjK8ducEWBzukMVHO+NFZZEe6crzrlm0d4bFwaAsX8tru3bGC6fbG9ESsDO6J91h08H0ZftOiqM9cOBAHDp0CLm5uXjvvffw0ksvAQDsdnuIEjlBEATRO4mW6rXLaMJz73+PG0oHYf7GPdzn5QYd1s8ZD7fXB4/Pj63fnQpxwHqr+BlLrLq5/tYOxe3zYe2O+pDe6ECgfRREIiydPryHriyULLUcTwu0zgIgmNK4pqosrme2u+sPo53v6Vmj8NSsUfix2calhvIxRKdOqFZCVxcZyL6InibamFdT34wV2w5xvbDDcXv9eGFHPeoazVhdVYb1uyLVxldXlWHT7uOYPaEAS7bsx/IZpRABeCDKOyNDKec9l1ouwcIpBqQppLj32iI8cuNwSEQiSMQi6FI4C6cv23dSHO158+bh5z//OXJzcyESiXDttdcCAHbv3p30PtoEQRBE8hFK9eLrw7nLaIIYwNgh2Xh55zEsnV6CZdNL4GC83ZKalmyCRWTC6Y/tUHx+hJQGBFNT34wUaqMtmCp59Gx7l1MaY9Ufxuusx4vQ+YLb+0SL5E8q0uMijSph15SIRQayL6KnERzzjM2YWz6Ed9vIi7Lw/Ef1WDjFEF1tHCLMLR+CRR0RaZdnH6aNzI36znj2ttER9hDcVjN8EfupFF/E7sv2nRRH+/HHH0dpaSlOnDiB2267jWu1JZFI8NBDDyXjlARBEEQ3cLajHrvFJixOwif4UmM04aFpwzF1xCDkZilTeuDvLKyITLTIaF/6rfHQ5hRW6461naW70q2jpUomIqWxu+sPg8+nTw9E7HMyFWh3epGhlMLqcCNPlyYYyU/U9SRqkSGafVV29Crub/ZFdD+x3gUs4doUAzOVWDjFgDH52uhq48ZmzKso5MTLDjVZsfSmEmxbVM7Z7RmrEw92PP82lyfCHqK1DUvWgl4i6cvjZ1IcbQD4r//6r4jP5syZk6zTEQRBEEnmhMmGk2YHXqk5ht/+7BLB7yqk/DW4VqcHKpm4Vw+c0egJEZlUJU0uXCYWazuQGu1eEpHS2N31h+z59OlyvHbnFVix/WDI5LvCoMMTM0ciX5eW9Oc1kYsMgzUqPHnrSBw32WF2uLm61OXbDmL5jNJe3QKISH1ivQsu1qpw7fAc3H55fkRUudygQ8UwfqVwFrVcgt/+rAhjLtbiYp0KS946EGG3r915Be7425ewOtwYOiA9xH4VMklUR743CIr11fEzYY726tWrcdddd0GpVGL16tWC3128eHGiTksQBEF0A2esTtQYm/HO/iaU5Wux/6QF5QYdbw/icoMOdSfMvMdJV0qgliVtjbfH6W4RmVRFLZcIPh/qGI52d6dbR0MopbHCoINSFlvUrbvrD7PVcqybMw552Wos33Yw4m9QazThkS378YefX4aBmcnNLEnkIoPFzuChN/fzOu4uT2pH7IjeT6z05kGZSvx+5kjc/89vedPD77naIHh8n8+Pnw0fCKlEHOFkAwG7Xbn9IJ6eNYp7Z7DjjcXOYM/xVsHj9wZBsb44fiZstvOnP/0Jd9xxB5RKJf70pz9F/Z5IJCJHmyAIohdhsTNosTEYnKVCWb4W148YiP/31y+xuqoMQGh7oEqDDvdMLsL8jV9HHKfCoIPN5UW+Vt1t1070DGKIsHByYGIZLvyzcHIRxBBu45Yq7V6y1HI8MXMkHnpzX4iwG9sG6/G3D+K520YLXkt31h+eMjuw5K0DqDE2Y9uiCtQ1mrFwioG3xVqrjUlaX1yWRC4ypMozQfRP4klvbj7bHlWb4otjpqi6COUGHT4/ZkJZngY5mQpBu33kBlXEO6O5PXaf6d4sKNabSZij3dDQwPvfBEEQRO+DrY012xlIJWKkK6TIUEoxcZgOrTZ3RH9smVQMiUiEr39sgdPtRVm+JsIBf+zmUmTIJTQZ7ge0Ohg43T7cODI3pAXNGasTTrcXZgeDfKRF3T+V2r0wXh8uy9diXpRWOrEcPFbZ/NMfziEn43zLuzNWJyZfMqDL9sDaqsXBwOXxYXS+BodPW+FkPLziSKzKcbvLg6Nn25Na/57IRYZUeiaI/kms9Gb2GQ2v01bKJNj/kxmP3TQCj719Plqtlkuw5MbhGHlxFk62OpCToYBMLMYLs8fgb7XHotitGzZGBuC8fgVbqhUti6iylwuK9Wb6bv4eQRAEcUGcMjvw4L/3ocYYJDpk0GFeRSEWbqrDK78cBwAh7YFYxdOvf2zByzuPcQ44AFykVSFNJkGmSkZOdj8hXSFD1Su7UV1RGBI1PWVxYtU7h7FtYYXg/omMhHZVUM3icEetfQTic/D8AN7d1xRiU5OK9LjqkgFxXwcf0XrZ/23OeGQqpXj+43reNFYAWHFzKa7542ch15Po+vdEihz15RZARO9BKL05s8PxXj93PNqcnpBe2YdOWTC1dBDX/9rj86NQl4YV2w/ikS0HuGNUFulxz9XDUNdoDjk2a7fLbx6BB9/YhxtG5uLhN/dz26cUD8Cy6SMiNBnKDTqsnFFKY28PkTBH+7777ov7u3/84x8TdVqCIAgigVjsTISTDZzvf7zpVxPg9QFPzizFyncOcyqpbIR76Y3D8dC0YpxocQAA8rPVKBqY0e2/g+hZ9OlyjC3gV9mNJ7qSqEhoIgTVuurgcfXmxsTWmwv1shfjezx2cwlvdIv9jtPjiUhP/eyHc7ihdFBCJ+WJEjnqyy2AiL6BSibG36svx+/fPRzh7M4rL8S+ExbsO2HG2h1GLJxiwN+/+DHCRgPtD/28fbl3GU1wuL0hLTSDo+cnW+14eNpw+Px+NFmckIpFONvmglZNi1A9RcIc7bq6upB/f/PNN/B4PLj00ksBAD/88AMkEgnGjh2bqFMSBEEQCeZsmyvCIWBhB/f5G/eg0qDH+jnjUb3xa87ZLsvXYECmEqY2Bve89g0A4OP7ruq2aydSiwWTDfD5/RETzgWThUWBgMREQhMlqNZVBy9ZtcWx+vqydsmHWi6BVCxBXWNrRHrqlUN13PETlVaeCJGjvtwCiOj9WOwMdh014e1vf4qaRTJ+SDZWzCjFsq0HUJaniZops8to4jLCwvmp1Qkg0EIzWu9s1rF//atGrJxRCgBJLxMh+EmYo/3JJ59w//3HP/4RGRkZ2LhxI7RaLQCgtbUV8+bNQ2VlZaJOSRAEQSQYs0M4DVYmFUMtlwSccRHw+l1X4GSrA3nZarx/8DQWb67Dc7eNBkBRpv5MczuDhZu+CfRqnlYc0gt24aZv8I+7row50etqJDRRDm5XHbxk1RbHOq6Qo11dUYhV2yMVyXcZTVi69UBEWmp3t1WLRl9tAUSkLvGWnjS3M8hOk0cVQ2OdZ6uDwZqqMvxwtl3wvC6Pj/dzmSQgJKmQiqP2zt5lNEEsEuG520bD6/Nj4ea6Hm2T2J9JSo32H/7wB3zwwQeckw0AWq0Wq1atwnXXXYf//d//TcZpCYIgiC5wxupEukJ4WJCIRFhdVYbFHQP33IlD8Nru4yjLP58mrJCKKcrUz2l3ufHMf43C+tqGELXuSoMOz/zXKNhcAScx1iS2K5HQzji4sa6jKw5esmqLY9mqUhq9xdrEobqo0bSa+mbMC4umdXdbNZZofxd6rxDJgn3m2l1uZKnkWNqh4s/COqlpcknIs8mKEQrh8vgglYhhsjHIimH3rMBZMGzrTPb/haLiNfXNsDrcWLH9UI+3SezPJMXRtlqtOHfuXMTn586dQ1tbWzJOmfKcOXOmU99PS0tDZmZmkq6GIAgilEaTDY9u2Y/R+VrB/sdfHDOhrrE1pH5sXnkhFm8OlA9VFulhGJBOA3g/R6OW47n3vw9xsoGOWn+I8PuZpQmpnxYiXgc33uu4UAevq6nnwRP/TJUMjNcHiUiMPT+2CKoMK+ViPHLDcHx3woxVQXoKlUV6SMTC7dXUcgnUcklIVLy7W2gl+/kgiHB+arXjuMkOs8ONPK0aS97aH/EO21nfzCtGtunOCVDKJLyK42xrriyVDB8ePoMRg7Nw1uoUtN/cLCVevGNMiJja7AkFeH33cSyaUoTqDV9z2WPRsDjc2Bulvza1xOsekuJoz5w5E/PmzcMf/vAHXH755QCA3bt343e/+x1uvfXWZJwyZXE77YBIjLKysk7tp9Fm4/iPDeRsEwSRdE622PHolv2oMZrwo8mODdWX47GtB0ImGBUGHZbdNAKzX/kSze0MVz+WpZLhl+u/gp3xorKj/lajJnXx/o7T7Y2aQlljbIbD7cWqtw4kNdISj4ObqDpuIbqSes46m3uPt2J1VRmeef97lOVrUdfYirpGM28v+wqDDnMmDsGtL34esMsiPd5ZXIFWmwtpChlsLi9UMnHUPr12xguvj1+MqbtaaHXH34UggjnZYseDb+7jbGndnHERTjZLsBgZy+fHTJhUpMO6OeOw9hNjRM30+jnjoVHLMOXSgXj6vcP4Jor9VhbpseBqA/7rL1+ELI49fvMInGpxoPRiDQaky1GWr4Gio5QrmmPPeHy8dsxCLfGST1Ic7b/85S+4//77MXv2bLjdgT+iVCrF/Pnz8eyzzybjlCmLl3ECfh8mP/gKMnQD49rHaW3BB6vmwmazkaNNEETSsNgZmB1utNrcqDGaoJZL8MIdY/D7dw7x9g1+6j+Hcfvl+Vi7wwiXx4dKgw5yqRjP3TYaCqkYAzIUuP3lL7FtYQVNgvs5bU5PzO3JEAgLJh4H9+jZ9riuo6stwi4k9TzY2Vw4xcDVYlaXn5848/Wy/+KYievxDQScgqVvHcDKGaVYsvUA6hrN2PSrK3iF0FZXlWHT7uP44pgJZXmaiGtiswC6ej9ikSwBOYLgw2Jn8HCQkw1Er5FmSVNIsWHueNjdXihlEuw7aYY+XYHHtvJrH4ghwtghWoy6WMM58MH26/L4kJOhQP2ZthCRUSBgw8u2HkBZvhbfnTBDLhWhurwQQ/RpWD93PNbsqI+w5XVzxuGrH1t47ZiFWuIln6Q42mq1Gi+++CKeffZZHD16FAAwbNgwpKWlhXzv5MmTGDx4MMTiyDqEvoYyIxuqLH1PXwZBEASAQKRs2dYDuPfaS+B0e6GWS7CmqgwSkQj/NTYvIsLFcseEAgCBSPbyGaX4+V+/QHM7g0qDHqPzNbAzXlolJ5AWo3441vZEPUMiANNKczFn4hBu0ehsm4vbbnW6BSNCbU533CnMia43D3Y2g2sxgx2A4F726+aMwy837on6e05bndhlNGHhFAOeff8IrzMgAvDA1GLc/vKXXFoqe7yJQ3WwOBj8cLoNextbsXL7Ie7dkOiU7mQJyBEEH83tTEQGDl+NdDB+vx8evx/3/+s7LqPr+hGDBDN5/ufaIjjc58fTYPtVyyV4/a4rkJOpxHO3jY4Yg3cZTXjg+mLcWnYRfjTZsK62AeOHZGPvjy2Cjn00SKy0e0iKo82SlpaGUaNGRd1eUlKCb7/9FkOHDk3mZRAEQRBBsJGysQVanLU6kZOpwOqqMmzY1RAySWAjXMHRsUAkW88pSN9+eT7qGluxZPpwzHzxcwC0Sk4AYhEEa/1jlAh36hmK5uBa7Awe4OkJDwRSMddWlSFLJYvaHmd1VRlUcgkON1kxr7wQo/M03KQ3PIU5EfXE4b/D6/dzddLBznU0ByBWu5+bRuVCLZcICijVGk2obmdgZ7xcWqrQ/WHfDYlO6U6WgBxB8MG3sMOKjvG9wyoMOtgZLzbtPo41HenfLo8P1hhdOywON3J53gesnT373hHBMdjp9iJLKcX/9+VxLrvl+Y/qec9VY2zG3PIhyM1SobJIH/FuIrHS7iGpjnYs/H5/T56eIAiiX2KyMbj6kgGYXJwDp9uLNIUET//nSMRKPDvBCK7xylLJMKd8CFraGdjdXtwwMhcA0GR2ws54aZWcAAD4AU65OryP9rzyQvgB/Gx4Di7NzYyIvH7fZI37GRJycG0uj2BP+LNtLmSqZFHb44g6fsOijvTOK4fqUDFMD4fbi70dkabmdgYAulxPzPc7Kov03CQ72LmO5gDEavezavthrKkqQ5pceOonlYiw6c4JkEnFePOeiag7HqgHDz8ecP7doJZLMCpPgyarE0fPtUOtkEIsEkEqFkF3AWnlXRWQI4h4sdgZqGSSiM/X1zbw1lCXG3SYW16IQZkKPDRtOFZuO8iNnevmjOO+x5dZok+XAz4/Kg36kHeTkN2y29fuMMLj8+OLhhaUDM7CjiPnwHiF09sBwOfzY9WMUnh8fmqJ1wP0qKNNEARBdD8iAKUXZeGxrQewt9GMN38zMWbvTyAw8Xe6vVyvbIVUjOZ2F+oaA6qmtEpOcPiBTR1t36rDav037T6OB6YWY+n0Ejy8ZX9IpLTCoMMTM0fG9QzFEsxadE2R8P4ON8QiEW/ECghEd381aahgRJdtU9aVeuJov6Omvhl+f0CUbP9PFlQadKgxmqI6AGesTuG2XcZm/PrqYbAxwvXzUrEIs1/ZHfFbgzNb2HNXlxcKRr3nlRfiyXcPY/mM0k6llXe1dzlBxAO7wDU6TxOxeGVnAmPdkhuH47fXXoKzbS7uHbZ4cx3+8oux+OtnoSUYXOutDqGzcJuoNOiwfEYpFk4ZBh/83L5CWSasnVUa9Jx2Qk6GAvp0OQqy03j3YRmYqURzmwt52SqymR6CHG2CIIh+xE+tdjjdXqzdUY+ajnrNn8wOwX1cHh8qDDosnV6CW17YBTvjRZZKhi+OmVA+TIeVM0oBAL+qKKTBnAggAn5xxRA0Wc4/WyKRCIOzlBibH6gbfPStAxFObq3RhCVvHYgrChxLMOvBacWC+6vlElgcjOB3FFIJXt5ZHzXS9MQtI9FiFz5GrHpiod9RazThganFUMkkuKIwG76Oc7MiSguuNkAsFsHOeLH/JzOGDkgXPJfF4cahJqtgSqwjyJkG+DNbWFwdqsZC0biyfC0e23oAq2aORLvTE7eAWld6lxNELIIXuFhVfyB08aosX4OcTCXXWSMYrVoW8l21XAKZRITHpo/A3uMtvDZRYzThsbcPYmyBNmQRMlaWCQDcf/2lqHoloJ0gEYuwfu54WJ0MKgw6XnX0CoMOCqkYg7KUnbovRGIhR5sgCKKfcNxkw5It+/E/117CRbCFFElZCrLVePSGEq6utsKgQ6ZShoJsNXRpClgcgYkzQbCIRIGJ57v7m0ImgZUGHRZOKYJI1LUoMBBbMEsllQjWiafJA+nNQmSqZFEj3ruMJjBeX5friWP9DgB4fNtB1DWaQxSKlTIJNGpZSBug9XM1gsdRSMUxU2IlPPckOLMl/HixonHzK4bisjwN7v/ntyGZM/HUsF9o73KCiEXwAhcbvQ62ryG6NHx7ojUikwMI2IrHe778NTir46+fHcPfqy/Hri0HeM/Ltgabv3EP91lwyjkfuVkq/HL9bk47ITdLiVa7G26PD3M7SnH4bPmnVgfmbvia+s/3ID3qaItiDHAEQRBEYjjZaseSjl7ZCyafnyC4PD7BCFdlkR5ymRgz1u7C2HwNlk4vwYjBmXC6PXj725/wu3/v475LgznBIhOLsXZHfUSkJeBoibB8xgjB/eNRlY7l4ErFIiyaEkgfD5+ELppSBI1aBlebT9AZF8WQkrG5PCjUp0WIDbFUxlFPHOt3iETnrz9YoXh1VRla7e4QJ+CbxlbB31N3wszrVFysVeGDQ2eweHMd/vDz0bzXEd7uaErxAACIq+b7r58dQ12jOaJ392c/nMMNpYO65Ewnu9UY0TcJX+AKVgAHgL/+YixyMpUoy9fw6kxY7Of3D8/qCO5swEe4LQkJr1UW6SGTiLCx+nIEvCYRbC4PJGIRLG4v7v/XdyG2HJzeznYOoP7zPQeJoREEQfRhLHYGp61OtDs9eGDqcPyPxwufH1g/dzy+aWyFWiYRjHA9dlMJ3tnfBDvjRY3RhIdvKIHP78OfP450omgwJ1gYr0+wzU0sEZ94VKVjCWZlqWWQScWYPmpwyCT0bJsLQ7LVyFLLca7dhTsrhuLGkbkYmKnkHMDTFgdys1SI5Wmz17lgsgE+vz/CfhZMNnTpd5QbdDDbIxcd2Il9Wb42ZIIezZYri/SYM3EIFm+uAxDpVKybM47798VaFad2HkywINvPhufg0RtLsPSt/ZjLE+kORquWRa1ZLTfocOVQ3QW/LxKh9k70T2ItcKUrpPjV3/eguqIQ8yuGIl0hQZvTwzmx1RWFnO2FZ3UItQZTyyUYolNj3Zxx3Ptm/09mzK8ohAgIGVfZkq0/fvg9Zo3NC3Hm180ZB4VUHGHLwQRfx876Zpy2Omls7maS7mifOHECAJCXlxex7dChQxg8eLDg/jt37sSzzz6LvXv3oqmpCVu2bMEtt9zCbff7/XjsscfwyiuvwGw2o7y8HC+99BKKioRFUAiCIPo6TWYHPv3+HHKzlMjVKLFq+6GI1iHXDh+IK4ZmR0S4FFIxzlqdcLq9+Otnx7h9fjTZoJCKeWvCgPjTfom+TbtTWHDL5vR0WVU6HsGsLDVwQ+mgkDrfcQVa7vmUS8SCKe4KgfRz9jqb2xlUb/iaN6pUveFrbFtYwWsPbCS23eXGihmlWLb1QMjvqCzSY175EGiD9mWVjK8fMRAluZlIk0tx7fCBAAKiTGy0eun0EiydXoKGZhsu1qpgc3nw8s5jEc4zcD7Szf73/pOWiHrsSUV6GAak4617JiJDKUO6Uor7//kdaowmjA5z9sOP7fH6Beu4l249EGi11sl3RiwxPFrwI4DoGQ+xFrgylTIsvXE4cjKVcLq9GJCuwJqP67kxNHhRK94ItVouwfo54/Dku4cjxuIrCrPx4NThqG53IV0hhcfrg8PtxVP/OYySwVkR9lN3wozBWcrokfAgu2Y52erAoEwl2UU3khRH2+PxYPny5Vi9ejXa29sBAOnp6Vi0aBEee+wxyGSBVSQ+5zscm82G0aNHo7q6GrfeemvE9meeeQarV6/Gxo0bUVhYiKVLl+L666/HoUOHoFSSAABBEP0Ti53BcZMd2/efwvgh2fhbbUuEcxwYnI/gwanFePq9I2HqqHrcf/2lmPvq1yGTc6GVepZ40n6Jvk1WjJr9TJUsIarS8QhmCdX5+vx+wRT3lbeMwIoZpXj87YNR+9Aea7bxRpVYp9jl8aKusRXpCinkEjHMDgYqmRR7G1uxcvsh2Bkv1HIJlk4vwaM3DoeD8SJDKYNULMJb3/2EAelOQSXjKcUD8PhNI+Dy+NDm9CBdKYVaJoFMDLz25XE8OK0Y1Rv2YHVVGVweH28a7OLNdSH/zfYGDv6tuRoVChBQOf7+tJVrTySUETOvvBAut1ewjrvmAhfnYonh0YIfESvj4YmZI/Hwlv2hbfUMOiy7aQT8AN7d38Q5xKyTDIhQY2wOUSUfoj+v/h0sirZy+8EQh3rJjcPxwidG3laaYpEI9193KQAgUynFrS99jjVVZdhx5BzumFAQYT/raxvwwuwxWNiRNROewTKvfAgWbqqLuCdkF91LUhztRYsW4c0338QzzzyDK6+8EgDwxRdf4PHHH4fJZMJLL70U97GmTZuGadOm8W7z+/14/vnnsWTJEsyYMQMA8Pe//x0DBw7EW2+9hdtvv73rP4YgCKIX0mJnsPaTetQ1mvHQtGI8/1E97/fYfsEPTi0G4/HB6fZCLBLh82MmVL3yZYiTXdkR1UpE2i/Rt1HLJYJquGq5JC4nOZ76264IZjncwinuDrcPw3MzsVbgOvlSUIVaXv3u+mKcMjuQk6HAP+++Ep/9cBYenx85GQqcbHUgP1vNRfTHF2Tjzr8HnOQbRzp5o8I7jpwD4/Hhsnwtd67KIj2W3zwC8yuGwub0RtRlM14fBqQrIJeK4WC8WFNVxqXE2hkv0hRS/PPuK6FLk/P+TU62nleT56v5LtCpIZeIIRGLkKaQ4sBPFsG/QzyLc+HPgtfv501x78wxib6LUMbDY1sP4LGbRuDxbQcxOk+D+eWFyFLLIJeI4XB74fH58W1jK/Y2mkP6YVucHjxyQzFEYhEsdjfUCinOWp345MiZiMWwv352DNUVhVxpRU6mAozHh0fiEEmrLNJjdVUZPL5A6Up4xBwI2N2CTd/g7quG4vGbR8DBBOxcKhZBJhFHjN9s5ooujZzs7iQpjvamTZvw+uuvhzjIo0aNQl5eHqqqqjrlaAvR0NCA06dP49prr+U+y8rKwoQJE/DFF19EdbRdLhdcrvNCBVarNSHXQxBE1yDbTAynzQ64PD5802jGmqoynLUKC7OcaHXgnte+ARBwEN66pxx1ja0hg3RwVMtiZ7qc9kv0Pjpjn+2MR1ANt72jl7OQk9wd9bexnLE2Z+zr5EtBFUqVFuFIhFN8z9XDOBXi6opCTBwaaM2jUctQXVGIh97Yh7/899iok/RaownzgmqlazqcibFDsvGzkoEAIuuyWdbNGReigAwERN6G6NIwLCeyXVhze2Q7s/Bjf3zfVSH7mmO0QIu1OMf3LLDOCJ8qdDzH7EvQ2BkJm/EQ7CizNdF+vx8Pv7kPNUYTPj9qwmVVGjz3wfcR76oXZo+BH36sqw3vh63HnPIhmLfha5Tla3BnxVCMGJyFJnPoYlj4Itvdk4YJXjPrUNfUN8Pn9+PBqYEWhdEyyeyMF3/6sB6lg7NCbPi1OydEONlstsrMyy6K9xYSCSApjrZCocCQIUMiPi8sLIRcnrgJ2OnTpwEAAwcODPl84MCB3DY+nnzySSxfvjxh19GbsVqtsNlsndonLS0NmZmZSboioj9Dttl1TphsaGe8aHO48c+7r4TH64fJJuxoBw/iZfka/OdgE8rytVhwtQEKmRgaVWhUK57aWKLv0Rn7tNg9vHX/bNR047zLY+zfPfW3sVLcs1Sxp0l89iCUKs3nFPv8ftx9VWCyHhwFV8slWHLjcLw6bzxsTi8nYri+tiHCuQyPetUYTfifay+BVCxCpUHPpXoHU85Tx1lu0OFsmwvjCrS81291umOqJIcvtg3KVHZqcS44ep2ukGLP8VbsPd4a+vvqm+H3+3n7e/e3BT8aOyOxOt1RM0teu3MCl8kitCh248hcvLu/idsW7LQDwP/Nn4BPvj+Lf+5pxD1XG6BVy/Hwlv2817PLaMJD04oFrzl4LN5lNEEiFmHdnHHIyVCi0qDjzb4Jt+Fygw5Otxev3TkBXr8fbo+Pe++OK9D2K7tIBZLiaC9cuBArV67Eq6++CoVCASCw2vb73/8eCxcuTMYpO8XDDz+M++67j/u31WqNq168r2G1WlEwpBDm1pZO7afRZuP4jw3kbBMJh2yzaxw32fDIlv0hE4Z1c8YJT4rDhJDYVe8x+Rr8fOzFyNelRewDxFcbS/QtOmOfaQpJxGfBLT3VPNuD6Y7621NmB745LtwOSy6JrUkARNqD2yusVh7uFO8ymjithOBJPeskBEeyyw063kguX9TL4nDjl+u/wuqqMvgQqopeadBjwRQDqjd8HXLsRVOKOFV2PjKVMsG67JUzSnnT++NdnOOLXkf7zbVGE+652hAh3NbfFvxo7IwkUymL6kRbHOczWcYEZZeEMzBTyZW/RHPaKw06rJhRit+/cwh3VgpHrD1ef8z2e8EcN9lxz2vfQC2XdPTaFoUsmFV0ZAix3QTYMXxRh50EZ6v0R7tIBZLiaNfV1eHjjz/GxRdfjNGjAz3cvvvuOzAMg2uuuSZE1OzNN9+84PMMGjQIAHDmzBnk5uZyn585cwaXXXZZ1P0UCgW3ANCfsdlsMLe24LolG6DMzI5rH6e1BR+smgubzUaONpFwyDYvnJOt9ggnm0VoUrzillI0t7kwfVQuFBIxWmwM3vzNRGjT5BiYKSwo2ZXaWKL30Rn7VMskeHXueKzZUR8xKX117nioZcKOdniP23C6Wn/LRsz3Hm/lb4dl0GFOeSFabAwKB8Q+VnDtcK5GhWPn2gX3iZYKGnwNQpE2djt7b8sNOhw4ZYnoU81Gr4KzCwDgIo0K7S438rPTsHVBOSwON9IUUohEgf7jKnn0v0+6UoqxBVr+TgVtLmjV/FkC8dbk82Uy8P1mFqVMgo/vu6pfL/jR2BmJPl2OiUN1vE40a39quUTwXRS8IBbNHmuMJjRZnCgenAVvjLbFFrsb88oj23iVG3SYX1GI/T9ZQtp+6dPlnA7B/I17sPTGEjxy43Cca3fB5/PD6/NDIhLhudtGQ6OSweH2ck42EMjYYTsF9Ee7SAWS4mhrNBrMmjUr5LNkrKwVFhZi0KBB+PjjjznH2mq1Yvfu3fjNb36T8PP1VZSZ2VBl6Xv6MgiCuAAsdgZtDjfaGC+vk113woyyfE3U9l0SiOD1A1nKgIMQy6kgiHgQiRBdzVskwsoZIwT3j9XjtrP1t+HOsM/n55w5PtsYkKHA7S9/iX/9+krB40arHf7d9Zd2KnIFAHZXaCq4UPr5LqOJc5orDDrMrxgapZb0fCQ4+PPNv5qAIbo05GQq4fH5sWL7oYjf8PjNIyACoAsSoDtldmDZ1gOYM3FIh2J75yLJsRbnhDIZgn9zyDFVMt5acqJ/k6WWQx5lQavuhBlTigfgjgkF8Ak4xyFlVQL2aHa4UZanwRfHTALZY3rsaWzFoVMW/H7mSBw9Z4NUIoJEJMLXP7ZABBG+amjBnz6sD9onNJPj4S37eTUVWNbNGReS8aFVy8k2epikONqvvvpqwo7V3t4Oo/H8g93Q0IBvv/0W2dnZyM/Px7333otVq1ahqKiIa+81ePDgkF7bBEEQfZFzZgfcXh9sbm/UCB8bzRYjUszlsZtHwO7x4CKNCrkJEpciCABwenzY22iOiLCy9cVOHhXdYIR63Ha2/pbPGQ6kYQbgEwl78Y4xKMvXIE0gshst+lpT3wyZRITfXV8Mtr81S3iqJ0ulQY/MsHrwWOr+mUoZ/nn3lchQSiEC0GpncMeEAsyvGMrd5xqjCT5ERoIVUgknbBjtN/z+nUO4Y0IBTluckEvFyFLJsOd4Kz4/GhCQCl6c0HQ4u7GyYGKpyMfKZAhPue9vtdhE59BGWdR5/atGvHbnFWhud+FzAef4rNWFyiI9auqbuWePT1wtUynFuXaXYPbYYzePQFOrAxUGPRwd6uDZajkkIhGuKc7B/p8sqGs0h5yfrcm+a9JQrnMInwI5S/A2so3UICmOdiLZs2cPJk+ezP2brUGZM2cONmzYgAceeAA2mw133XUXzGYzKioq8N5771EPbYIg+jRnzA44vT4s2bIfNUYT/h0l8sa23tlyz0ScbHVwk+LsNDlOtTowSKNAXra6m6+e6OvYnJ6o7a1WV5XB5vII7t+Zml4h5y2aIxmLLJUMi6YURZ2oA8LR1x1HzuGXVwxBWb6Wa6eVk6FAtlqO379zOCTqVGHQYU75EHxw6EyI4NGAdOFUYJEIuO0vX3DHmFteiPv/9R3sjDekppkvEsyKwEX7DWq5BLMnFGDDroYQAabyKBFyIKA0PlCgoiweFflYmQzBEUaqOSVioU+X48lbRyInQxGy2CeTiLBy+0HMnlAg6ByPHaLB0AFpgN8PhVQctU77iZmlKBmcxdvqjhWBbHMykEpFeGFHfYRNzSsvxEeHz/DqENQYTXhgWjFe3nkMdsYbtewEOG8fZBupQ8Ic7TFjxuDjjz+GVqtFWVlZiOhJON98803cx7366qvhF0jrEIlEWLFiBVasWNGp6yUIguitnDLZ4AXwU6sD/33lEDwwdThkkoA6qUgkilAlLssPrLzP37gH5QYdlt9cinf2n8L+ExY8euPwnv0xRJ9Eo5bjhU+NnKMZPMndtPs4Hr2hJOYx4qnpbTI78OkP57iJdKvdja8aWnD1JQOQq1FFdSSFBQL1kIhFkIoDC1VZUdahhKKvarkEWWoZxuRrIRWLMDBTCbfXh3PtTiy+tgizryjg0ka/OGbCQ2/swy+uLMDyGaV4bOsB1BhNkEvFwkJtQRPuWqMJfpyPXIfXNEeLdEX7DZ2pD2cRqpsXUpF/8I19WHVLKTQqWcxMBsOAdKo5JaISvOiWpQr0xX53X1OIgFhgDByBv352DPPKC3mdY7VMAq/fD8bjR4udwaM3lkAuEWP5TSURdqGWS3C2zYUxUnHIGBxcK11u0GFW2UVY9sGBCOVw9lhl+Vq8uquB17bOWl2orijEd42tOGN18v72yiI98rPV+Pi+q8g2UoiEOdozZszghBgobZsgCCI5nLM64QawZMt+7G00Y3VVGZ5673DESjy7Ml6Wr8G88kI4OhRI606YcbLFjq8aWjCvvBCtdgaRVY8E0TU8fh9mTyjgjWjPKy+Exy+cFs0iVNNrsTM43mLH9n2nIp7/Qn0a1HJJVEeSK6kQiUJrkw16LJ8xAs3tTthdflicbuSCv6wiWvSVjXr98YPveSNXf/nsGGZPKIDHC/xyw1chUbK/fnYM1RWFmFteCCfj5dqABf++KcUDcO+1l0CEQIp7cEp+cOQ6OJIdLdIV7TfEWx8ejFDdvFD0v6a+Gcaz7dj4+Y94etYowUyGXI0KBeDvhED0b8IzJhZOMaCusZV3sWj5tkOorigMWXALbqnH2mP4e2XVjFI8tu0Q91nwd9nUbva7wWPwnRVDwXh9mFteiKoJBSE2a+/QV6kuDzjYfLYFAFcO1WFMvgYiiLh0dpZg+yBSi4Q52o899hgAwOv1YvLkyRg1ahQ0Gk2iDk8QBNHvOWd1wun2Yvm2gxidr8UDU4fjmTAnGwhMJMQQ4R93XYn3D53G4s11WFNVhvkb96DSoMPMyy5CWX5ANXjrgvIe+jVEn8YPwYjosumxI9qxMNvdWLOjPuo5nrhlZFRHko1ibV9UAQfjxemOKFHdCTOmr6lFWb4GCycbED03L3od+d1XDcVZq5N3Ug00cJGruycNg1ouwZqqMihlkpD66kUdNssXadOkyfH8Rz+gZHAWyvI0cLq9mDhMh+tKBuJcmyvkWlweHyoNelykUeHD305CToYCWWo5F/mzOBhs/tUE7DpqCsmCcXl8vLWo7O/obK10PLXXbHR7TVUZtQ4kOgVfxoTQYlFNfTPmThyCRZvrOjRMAm2zWHvcEOXdtWzrwZCIs1DmhxjAlnsmwu31QSaR4Nn3DqM4yGbLh+kx47LBONXqhI3xICdDgYVTDPD4QrN4WfHEywuzsXBTHa4cmo2nZ42Cg/GSffQCEl6jLZFIcN111+Hw4cPkaBMEQSSInzrSxW0uDxcpLMvTRKShsdQYm/GAyI/1tQ0oy9dwK/cLJhfhvYNNWLvDiMoiPXIyqCUMkXh8fvCmPAOBz33CXXAi4KvDtjEewXPYmIDQX7RU5HEFWkjEIjzxH/7FKgBYOaM06jXx1ZGr5RLcUJqLx7cdjJplwkauHrmhGKs7JvV8ddD7f7KgLF8TiFR3OLxisQhOtweLr7kEz75/JMSRqDDosPKWUq4dEBCoxV4w2YCPj5zB7mMteHrWKNiYyFrpijB1Y61aJlhjLw0qD4ynHjTe2mu2R/qwnHRyHIi44cuYEBINY2EX3NZUleGeycOQnSaHqZ0RHFfnlg/h/i3ozBtNMNkYOBgv1HIJfje1GKu2H4qw2XBthZtHDeZsmM2CWby5DmV5GpTla1A1oQBOt5fUxHsJSRFDKy0txbFjx1BYSAmJfZUzZ8506vtpaWnUd5sgLpBzVic8fj8+P2rCZXlabgX9jgkFgvudtbqw9MYSjB2ihd3lwUVZKrg8XrzwyVESSyGSSnsMsbNYYmjBRBPRWjSlSHC/QH21sKia2cEIOusOt5d3G8tgjQorZ5TCeK4dLo8PF2tVWBHmZANAXaMZN4504u/Vl8Pr82P7ogpkKKT44+4fQib1arkEZflaqGQSTByqw4zRg3GmzRXSjzxaSmxtWMStsihQa56ukODVXT/i9svz0Wpn8OS7hyMciVqjCSKRCFvumQhTO4M0hRRrPzHyLkCIADw5c2SnaqWFaq/D2511tUc60T9gF9/aXW4oZJKQ/tPfNLZCKdAfGwByMhVc2viizXV4/a4rsGL7oZjjajCxnHmxSIQNuxowOl8b1WbDtRVWvnMIr905AS02BnUnzFi8uQ5j8zUYkKHgMtE23Tkh7mskepakONqrVq3C/fffj5UrV2Ls2LFISwutpyGHq/fidtoBkRhlZWWd2k+jzcbxHxvob08QFwDj9qLJ4sT2/U0ovTiLG6yF1EdZhg/OhFgEKGQSXJaXBafHi20LKyjVjEgqGUrh6UV6jO0sQiJa9113qeC+rLK2kKjaSbND8BgORtjRBoAWO8P1tV03Z1yEExtcx/nIlgPc55UGPeaUD8EXx1pg74h6hUeR7722CHt/bAmZoMeTElth0GHljIDo4ajBGjw1a1TsLJj6ZohFIowYnIkmqzPqAkSt0QTG68dl+dqY94Yl2oJHcMSOpbM90on+B7v4tvd4K1ZXlWEjT1bIdSUDBcUEPz58NkSsUSwSYZfRhPkVQwXPfZFGxR031hjs9flRYzRhbnmkwBlLuOYBa8PsO6XcoMOc8kLc/vKXXKYK2UjvISmO9g033AAAuPnmm0PUx/1+P0QiEbze2AMXkZp4GSfg92Hyg68gQzcwrn2c1hZ8sGoubDYbOdoE0QksdgZmOwM/AK8fuGNCAcQQYeEUA9bXNsRQTg5Eia66ZADeP3gOL3xyFHbGi0lFeqypKiMnm0gqaTJJhGAPS2WRHmkxok0sQiJan35/VvAcwWUR0UTVNCrhCWtWjO1AaFo0X4QrWh1njbEZPvhx91VD4fcD1wzPwVmrC/MrhqIsX4v1tQ0YeVFWiMhStHMEk66Q4rGbR+AX63bjRKsDW+6ZiL988H1cWTCNLXbIJGLYY2QcXEjUmV3wONvmQmOLHQC4iB3rQFDvXyIWwYtvC6cYotZIP//RD/jd9cUQ4Qhqg7azC1wPvbEPt1+ez33udHuxcIoBedkqVBh0IfuwXFM8AEqZGL+99hIsmuxHpkqKJ2eOxMp3DoW05GLP88WxwDFi2Wz49kylDJvunACnx4dvGlvJRnoxSXG0X331VeTl5UEiCR1IfT4fGhsbk3FKoptRZmRDlaXv6csgiD7LKbMDXx414SKtCmt5+m6urirDQ2/sw1OzRgGI7P+59KYRuOWFXbh+xEA8+/4P3Da2BpIcbSKZ2NweLJ1eghXbDoZMWCsMOiydXgKbO77Uca/fH5ESyop2vbzzGLYvqsDjbx+M2Ws7GpkqmaCznhmHo61Pl3PH4ItwCUWg6xrNeOymEVi57SCvanG4MBIQO5MlTSHFjLW7uIm5VCLqVBbMo2/tx++uLxb8zoVG1NgFjzSFNK4e6QQRTvDim5Bt7ThyDr+qHIoHphajup2B032+B/Wbe09wWR5rdxihlkvw1j3lqGtsxbh8LeaWF8KPSLX/B6YOx9K3Qlt0VRr0WD9nHKo37uFsrrJIjyU3DsfMFz8HENvuwrdnKKXIVMnIRvoASXG0q6ur0dTUhJycnJDPTSYTrr32WsyZMycZpyUIgugTWOwMlm09gIemFePxtw9GrKyzg//tl+eHqBIDgQjcD2fa8J8DTRibr8VZqyvi+FQDSSQdvwhPvXcYl+VrMa8jNVMhFaPuhBlP/ecwHojhyAGBxaaV2w7yLjIFR3i6olDtdnuxcLIB8PvDJs86LJxsgDtGjTbLgskG+Px+1J0wo9KgCzmWUDSruqIw4jcC5238wamR9ylWD/CPDp8J6d/banPHtS9bK73LaMKDUxE1qpeIiFo8PdIJgo9gBftYkWK3zx+Scg0ESjneWVSBJVsPhPSFX7H9IJf1cf+/vgtR+2cdYfY7wdQYmwER8PbCchw3BTI18rLVMLW7uPPGY3csFQYdtGlyDMxUko30AZLiaLMp4uG0t7dDqVQm45QEQRB9BrONwZIbh8PGeHknusD5ui4748XaHUau1vHFT42YPaEAHx0+gxW3jMDJFgeXak71XUR34UcgorTjyDne7bEipuxi0+iO6FJwRHvT7uOorijEvhNm6NLkgr22Y9HGeDFvw9dc7+rgBYF5G77GG7+ZGPMYze0MqjuOMS5fi1vLLsLSoEm8UDQrVr9qxuOLcNzZHuAiIDQltkiPeeVDsHBToN6ZVTQOjopz/cMB3h7fbK10kyXQnkwU1mc8kRG1rvzdiP5LcKlGsG3xtaPjKw25Ymg2PD4/qssLcceEAqTJpchOl3F2qJCKuXE1mHVzxkXVLaipb8YZq4urq94wdzyy0+XcYhVrd0BolJy1UdbuKg16/H5mKQZmBnwlspHeT0Id7fvuuw8AIBKJsHTpUqjVam6b1+vF7t27cdlllyXylH0aUvYmiP6Hxc7A4fXhp1ZHTIc4TSHFpjsnQJsmD/T7FQH/e92laG5j8LOSQbC5PPjF+q9CooDjCrRU30UknViq4rG2m2wMbr88n7e91LzyQqTLJbjj8vyQntDBrb/inZy2Od28k+rg7bGwBh1DLZdgw9zxKMvXYn7FUKjlEmQqpRHOcrw0tzOYV1EIdPT5BQJq6pt2H8ejN5TA6/fjbJsTgzUqaNVy2FwebLpzAjKUMqQrpbC5PPD6/FxqO9vO6PW7rsDcNlfIwkJwloBULMKizXXYuqAcYpGIImpEyhCsYB/IINFjb2Mrbzu6yrAMmGuLB+DR6SVY1pH+zQoQBmd+RYs+x4qeB0fa9zS24ujZtkCNuOh71NQ3c9ln91xtgFQsQppCirNtTgzMVOC520ZDIRUjT6tGvi5N4CxEbyOhjnZdXWBFxu/3Y//+/ZDLz7+M5XI5Ro8ejfvvvz+Rp+yTkLI3QfRPTpkdePDf+7gJ9bo54wS/7/P5katRwu314adWJxZs+gZ2xotKgx7zKwvR3MYAOL+CvnR6Ca6+ZABNlImkE0t1PNZ2j88fVeQIAB6bPgK5GhWazA58+sM55GQo4PL40Gp346uGFlx9yQDkalQxrzNWf+dY28O/U11RCLfPj7U7jFwbrrpGM1ZXlcGH0GhWpUGHi7TC13iRVokXPzHiganFuNfrhc8XiNyp5RI4PV40W104Y3VhbL5W0K6fDlL8tjNefHDoDL5tbOXNmGFTWe2MF2KRiPr1EilFsIL9+toGbPrVFTh8yhJFcNAEiER449cTccrigEQs4pxs4LxQYbDqd7TocyxhxIu1Kq7/NXuMP3/8A8YWaPE/1xTB4/MjTSGBSibB+wdP44VPjqIsX4OyfC23OPDxfVcl5B4RqUNCHe1PPvkEADBv3jz8+c9/JofvAiFlb4LoXwTUxd1Y8tb+kKhXrFpMsRh4d38TphQPhAjgVsXPWJ1QycT4sqGF+/4uowmP3zQiLueDILqKXCLGlOIBKBmcFZLK+U1jKw6dskAuERYH8vn8gv2tfX4/LHYGx1vs2L7vVIQYYKE+DWq5JOaikjZNHrUWma2VjEVwhG1MvhZfHDOh3KALSQsP1lJgo8gXa1WQScRRo93lBh0OnLTiv8bm4f+9/EVgAj93PP788Q94YGoxbn/5S4wr0MaVyh1eE52pkuH2cXl4ZMv+qO22SN2YSCWCM1c0KhmemjUKVocbdsaDMQVaPBzUOi+YmvpmeKb6sGhzHf7964mcranlElxXMhBleRrIJGJs+tUEfH40kOYdrn1ykUaFn8yOqMKJ5QYd9p+0cP2w2cyR6opCjLpYAz8C77T3D57hyrjCyzXI3vomSVMdJ7oOKXsTRN+H7Qd6V+XQiMl2tJX1coMO90w2wMF4Uddohtvrj2gBVGnQY+yQ0D63sdJ1CSJRmO0MHpw6HCu2HwxJ5Qyojo+A2c4I7m9nhJ9VO+OF2e7GyzuPhvTCZZ35l3cexWPTR8R0QAdmKvHEzJF4ZMv+CHX0J2aO5GolhWAjbE+8cwi5mUqMy9fiplG5ONl6vkc3X3r6i3eMQU6GAkunj8DyMJGl4En4mqoybmJ+xurE72eORJuDwbaFFRGp3EJp9Hz1nmuqynDa6uSulU0hj9eBJ4jugB0na+qboZZLsHZ2GV6tPd87+6X/HiO4f6vdjSU3DkeTJfCcsynjz753JGTcrQhKNV+7w4jKjh7WVqcbm79qxIoZI7DkrQOCtsrC2nyFQYcnbhkJr9+Pm0cNxuRLB8Dl9uHzYyYupZ3UxPsuSXG0CYIgiNiw/UAPN1mhkkf2FQ5eFX9wajHOtbmQm6WEx+fHJ9+fxf4TFjxy43BMX1MbsW+NsRlzy4eEfNbfRNC6UrtLdI1MlRzL3j4QEZWuNZqwYvtBrLi5VHD/LJXw3ylLJYPd7cHsCQVR67jtcbYQy9el4Q8/vwytNgZWpweZSimn+hsvgzUqPDBtOFa8fQDFg7MwDlrkZgnvr1HJkKGUosFkC1ksCK+Zdnl8qCzSY/nNIyAG4PX54fYBqjDN2WBnhKWySI+VM0qhVct4n33W+R6UqURzOwNdmhwzL7uIarGJlCG4bzYA3DVpaIiTDSBmhoxWJUNOvhY/mQOOdrTe9rVGE0QQ4bU7J6DFxmBAhgK3v/wlNt15BZZNL0GrnRG01XBY+8vXh9ZdW+wMBmYqcW1xTq/QPqCx9MIhR5sgCKKHMNkYjBuixcoZI2Bz8bcRYlfFy/I0mL9xD7YtKsfJVgdKB2dh8qU5cDJe3gEeCBVv6W9paXxOx6QiPZ6aNQqDKX0+6bh9PsHUb7dPWFgoOB07HPZZbrI6Beu4l00vubCLj2yaEgE78TQ7GKTJpYAIaHMwWHjNJXj2/SNcjXa00o8Kgw752WpkKKUwtTNRxdgAIC9bhft+dgkaTXZ4/X5O2Rg4/0ynySURzzsQSJt99K39mD5qMK66ZEDUZ5/UjYlUJbhvNgBUGPQRGVyCZVZFemQqAwtzR05bUVmkF1T7Zxep1+9qQFm+FmMLtGi1u/DCJ/X43fXFgraapZJh3ZxxcHl8uFirwgeHzsDn90d+rxfZG42lXUN4CYggCIJIGiIA1w0fiFNmJxivD5UG/lKR4D6bJ1ocuOe1bzB/4x5IRCKcbYvsk83Ctj7pb2lp4REQlp31zXjojX2wxEhbJrpOm0M4mtzmFN7OpmNPKgq1iZBn2Q9BZ55nfstLo8mG+/75Lab+uQY//+sXmPp8Df73n9+i0WQDEHiejp5tR11jK46ea8dPrXb877++wzV//AyzXvoCU/9cg5XbD0Ehk+K5949w17S+tgHzygtRbtCFnK/SoMeqW0bi4mw1stRyXKxVCdr++wcDfbH3NLZGbGefabPdzVs7yt6LnAwFPftEr8TqdEOfLse6OeOwbVE5vD4/ti+qwLo546BPl0Mtl0AqFuGhacVYN2cc1s8dj4VTDFDLJSg36DBn4hAs334QFrsHV1+SgwVXD4vrvPPKC3HklAUrbh6B3/17Hz48fBYyiSjCnlnKDTp8+sM5zN+4B/e89g3OtbnwXUcLwt4KjaVdhyLaBEEQPYDFzsDh9uKJdw+jNqjNCABOdRyI7G/LOs+VBh0+PHwGEwqzeY9fWaRHfrYaH993VcqnpSWa8AhIMDvrm9HczvSr+9ETpMdQFU9XxJ5+hAt4hadYtsfQHIi1HQDOWJ14fNtB3jrvp/5zGA/dUIJHt+wPi6gFet9+ftTEZZPsMprQ5vSE1HkHl35UlxciUymD1elG3QlzSJTL4mCw9KYSrNh2MGR/1vY37z6O60oG4tApC+9v2FnfDFuMmnaXx0fPPtEr0ahkeO3OK7AiTMegwqDDpl9dgVNmB16pORYS5a406LFtYQXeO9gUUoLxu+uKUb1xD/5efbngOQdrVDhrdaF4cBaOm+y4/fJ8rN1hhMnGYF6HQFq0Om3232etTjw5c2SvtjcaS7sOOdoEQRA9gNnuxpMdTjbLwVMWLLu5BOesLpgd7oj6LzayXd4h0LJ4cx0mDtVFKKGyUb/+qjBujdH7OJ7eyETXSJdLBNW803k0CfgQSrFUxzhGrO1AQLQtWp33g1OL8eib+yJECmuNJvgB3H3VULi9fk5VPVMpxcIpBk5VGAgVQfvHXVdAJBLhIo0qJMqVppDhZIsDj94wHC12NyxBtv/6V434n2svwV8/O4rZEwq4iXw40cpHWNgFOnr2id6GQibBkq3f8dZT7/2xBe/ub4rYtrexFV81mDD50oEYOiAdCmlg8YzxBEqtPv3hnGCq+fsHT3OO+7o541CWpwEQWCD85fqvUF1RiIemFsPGeOHz+UOEzSoNOjx28wjIJWJcnK1Ozk3pJmgs7TrkaBMEQXQjbG2n0+MNaTOyuqoMr+5qwF8/O4bVVWV4bffxsJ67eiyZPhxNZicAcIN6mlKK524bjXanhzfq1x+J1fu4v4nC9QQ2txfVFYUQASGOaqVBh3kVhbC5hR3DeEiTS6NOlssNukDtdAz8fkSt825zenjbbgFAXaMZj3WohQc76JUGPTb96grcufFrNLeHplW2uzyYv3EPKov0uOqSAcjqmIOnKaT4a81R1DWaUV1RyDnuZXkaXJSlQpZSigeuL8a01TVRHeoslSxqTXtw6Qk9+0Rvw+pwh9inWi7h7GRAhiKirVfweBq8rdKgw6yyi/DbnxXh/744jqdmjQIQ3ttejwVXG7D7x8BnrO2U5GZiUpEe2jQ5xhVoOd2URZvrcNekobj6kgGoMOi5xb139jfhplGDk3ZPugsaS7sOOdoEQRDdRLCoyIt3nG9HEq6AGt7Dc7BGhfcPnsbMFz8PmWhXFumhVckwMFOJgZnd+1tSmXiEtIjk0u50QwQRpo3Mxdwghd4zVidEEKE9AZEQjVqGRVOKAESmcS6aUgSNOvYk0I/odd4WR/RrrK4oxMqwVFYgUPbhhx/r547H7S9/ydlrsLNb01HfuKaqDFlqOdqdHu44fEJLgfIPGcYVaKM+0zkZCjw1axQeemMf9cUm+hTWID2HYCd67Q5jyDjKEk1RvMZowpKtBzB9ZC5nK7dfns+VjGSpZHC6vaje+DXWVJWF2M7ffjkOT88ahYGZSm7fuhNmlOVr8PxH9RHibJOK9Jh75ZCk3I/uhMbSrkOONkEQRDfwU6sdx012VF2ej3nlhcgMqmENV0AN77m76c4JyMlQhDjZ5QYdHr9pBAZre3dqWjJghbTCnY7+JgrXk2SnKfDip4dQMjiLa5MlEolwyuLER4fPYMmNF6gIHkSWWo6CbDWmjxoc0m7nbJsLQzqExmIh1FueTbfmQ0i1uNZowm+cHlRXFGLtDmNE/SYQWt8YT3rmsJz0mM90lpr6YhO9n/BWUgPS5fjtz4ow+iINBmtVaG5z4Y4JBZhfMTRkHGURss1dRhOqywOOOFt3DYQuSNkZL9IUUpTla7F4cx3GFmgxLCede4+x2hEmG4OZZRfh8bcP8pZu9QVbo7G065CjTRAEkWSOm2xYsmV/SBrqEzNLUWnQo8bYHNKGiw+zw41LBmZwbUPY+k3G2/X0275KLCEtIrl4fD7BHteeGO29WGL1b83VqHBD6aCQv/O4Am3Id4SOoZZLQlJRg8XQ2FZA0cSABK/b4ca0EYNQlqeJ2meXrW+MNz0znmea+mITvZloveAXTxkGuVSKldsORh1HWWKNpy6PD7VGEx6cVoyS3EzeXtg2lwdrdxg5h5J1slmCtSPW9vFxhsbSrkGONkEQRBI51WrHLmMz5pYXompCATeJ/+OHP2BNVRkAv2DkDAAXpbvntW+4z8oNOtw25uIkX33vpjf1Ku1r+P3Apt3HedW8N+0+jgenFsc8Rmf7t/qBiB7YsY6RLpdi3ZxxWPuJMWJBYMmNwzGuIBs+vz8iNX1Q2MQ7HIVUjLaOmuxosA50ulIqLBwXFLWL95mmZ5/obVjsDB78974QpxkA9h5vRYZShm8azYLjKOuAxzOeAsBZa+iYytLZjh39wdb6w29MFuRoEwRBJInTZgdcHh/eCVNFLTfo8NSsUVi0uQ7r544HgKiRM7a2k1U9ZT+LtwaVIHoCPyAY0Y7V4jpW/1a2vlnIkU6TS2IeQyGX4MVPjLxiaE+8ewTzywsxfkh2SGp63QkzPjx8JqbNXn3JgKhibcH1jTaXB3M77kn4e2JueaFgejtB9BVOW50RTjYQUPeXiMUxx9G5bS6kKaRQyyUxbRMAcjIVEfbZ3zt2EImHHG2CIIgEY7EzONvmglQswu/fORQ1qnf75fk42erAv/eewMoZpVjy1n7ePrqvd/TRffGOMZ2uQSWIHkFAzRsAlk7nr9Fm07xb7IF+taPzNCHtsoDz9c0ABB3plTNKuW186eFmuxtevz+qsnhNfTN+fdUwlF6UhUVhqd9quQTbFlXgsa0HeG120+7jkIpFWDSlCGKRSLCG0+JwhwggBjv0izfXYdOdE4TvNUH0IvhKOQBwugLhTL40B0//53DMcfS1jgya9bUN2HLPRKzafijEtoPrsMsNOnx8+CzK8rVYcLUBCpkYGpWcUqKJhEOONkEQRAI5ZXZg2VsHUDUhH4OzlLhdIKonFYkgk4oxe0IBTO1OPDC1GL9xeiL66C6ZPgIujxeDMpXIUkXWoBJEqiGk5r3LaIKfJ6TNF50uN+iwuqososaZrW+OVj+9s74ZNiYQCQ5XKmapLNLj8ZtHQC2XRG2bZXG48dru45ywGYud8aK5zYnHbhqBs22uCJtdNn0E/H4/0hRSrLqlFDaXB3bGiyyVDDkZihD7zVTKIgQQg6EWOkRfIVoGyqM3Do+6j1iEuMbRB64vRtUrAaX/JrMTY4dk44FpxThrdQEIFQZcMaMUVgeDNAXVGxPJpdc72o8//jiWL18e8tmll16KI0eO9NAVEQTRH7HYGZjtbvz5o+/x8A3FcLp9EIlEglG9B6cW41ybC4s31+Hv1Zfj9pe/xNIbS3BZvgZ2lycgYlRRSJMAotcRK92Z3c5GtywOBi6PD6PzNNh7vJVzfFlbCXd0M5QyWJ3uqEJmwVHwqO1+6pvx+NsH8dqdE9Bqd0fsBwBKmYRTKg6mwqBDTqYSPzbbMUSnhggB0UK2xGPVO4ewdHoJHtmyHx8dPsvtx6a1ZwU1C6AWOkR/IFo5yJ7jrVx7rXVzxkEkEuHIaQuKB2ViQIYCUrE4rnFUow64NOUGHfY0tmLtDiMOnDTj0eklsDo8qDToMX1ULnIzlR1jalq3/G6if9PrHW0AGDFiBD766CPu31Jpn/hZBEH0EthV+rsqhmLRNZdg2dYDqDGasG1RuWBUTyoRY1FH+5B0hRSv33UFAOCDQ6dx06jBGDogvTt/BkEkDLVcEnN7vBHscEeXFQgTicAbqWaPoVHLMKlIL9jup6a+GXMnDsH8jXsizn1N8QDo0+VYN2cc1HIp1s8dH1AjP2XFA9OKcdLkgEYt4+w9HKfbi8vytSGOdniNOcujNw7HnFYHRCIR5/BTSy6iL9HczkQ42Wy2ybPvHeFsSJ8ux+t3XYHH3g70qY81jsokYohEIrQ5vNj8qyuQqZKiyeLA9SPK4fH6cbzZjiarE2fbnLiqaADZE9Gt9AmPVCqVYtCgQT19GUQvxWq1wmazdWqftLQ0ZGZmJumKiN6Exc5g2dYDGJ2nwUXZqpBJd6tNuD+uqd2FsQVazK8oxGmLE3M3fM1tu6poQFKvmyCSSZpCWEk7QyHljW4FR7DX1zZw0WrW0T1tcSA3SwWby4M0hTRqpEsE4A8/vwxPzRqFw01WwWtl2wEFn/vQKQsemDocq7aHthOqLNJj6Y0laDI7YWM80KbLMTpfi72N5oj081qjCfPCIuFAaA/taO2M3l1cCa1aRk4B0WewOJiIDJQ8rRpPv3c45D3x9KxRnJMNxB5HW2wMqoPGzkqDHkumD8dpiwtfH2/hslTWzRlHZRhEt9MnHO36+noMHjwYSqUSV155JZ588knk5+dH/b7L5YLL5eL+bbUKD8JE38VqtaJgSCHMrS2d2k+jzcbxHxvI2U4wvdE2W2wMFk4pwh/eP4KrLxkQMin3+IS1lbVqOW4oHQSVTIwvG0KfQZoQEKlGZ+zT5fEKKmnb3d6o9dW7jCbMrxiKy6o0kXXVBh3mVRSi3emG3x+9DrzWaEK70wN9uhwXaYUVhIPbAe0ymvDQtGKU5WmwYvtB3nTzFdsP4rJ8LXdd0erIA/eBv6dvm9MdNZW2pr4Zy7Ye6GhbRBCx6Q1jZ5pSGpGBsm7OuIjFuJxMRYjdxRpHw22sxtiMFdsDIqR1ja2cbQKgMgyi2+n1jvaECROwYcMGXHrppWhqasLy5ctRWVmJAwcOICMjg3efJ598MqKum+if2Gw2mFtbcN2SDVBmZse1j9Pagg9WzYXNZiNHO8H0RtsUi0V47v0jqDWasGBy6ITgm8bWqO19yg06vHfwNNbuMKKySI8HpxbD7fVzKaM0ISBSjc7Yp9XhEVTS3jjvcsH9pRIR/vrZsUhH12iCD8ATt4xEi50RPEarncG5dheOnWsXtEO23Q/LiRYHFFKxoBMfHKmOVkcORO/pm6GU8abSsgRHvQkiFr1h7FRLJREZKHwLUe3O0MWqWOPoN42tEZ+z5SasPVZXFOIirYrsieh2er2jPe3/Z+/Mw6Oszv7/nX1JMjPJDAkJJiEwERLCEkRRZ0IFqcqigPz6VqQtIbj0RaBqrYCyg6K+trWA1laJ2vdV7EJBRMVWsEpQESHKjolEAgIJWWYmme2Z7ffH5BlmeWZJMkkmyf25Li7NPNt5lvucc597mzLF9/+jRo3C+PHjkZubi7/97W9YsGAB5zHLly/Ho48+6vvbZDIhOzu7y9tKJC5SRRpkSk1PN6Pf09tk86LBilab07ciL5cExqWWV9RgU5tVKtiqx5YZAdg4URsqa5tRXno9le4iEpL2yGeSRBgxk3ayNPL0I1UuihiXybjcUEhFEZOhCfl8/P6j06isNcQkhywSIT+sJZoleHu4hGnBSjxwNcHZ2YbIIUtsZnWCiEaij51GC4MLBmuITHMtRCVLYxtHS/I1mHfz4BD5ZfEPCXnoFi1kosh5IwiiK+j1inYwKpUK1157LaqruQd3AJBIJJBIJN3YKoIgYqE3yeb5RjMqqhswND0wYZn/yruFcfmsegtv0UIi5EMqEmDPicshbqZ2pxsHqhsh4PHIZZRISNojn3weIlqh+DyEzbRdkq+BiM9tCWYxWh3IT09Geen12LyvKiQZWvm86yEUXJ2Y+1vXxUI+BDwePjvbGCKHrIX75iHqiNfnUhD8lW+dVo1Vd47Asx+cCtjHv4a2QhrZIk/hI0SsJPrY2dDKoNkSunBUed4Q0k80tNhRotVgf7W3b/AfRx+6RQuhgIcksRBuD/DTP38etjSfv4yKhHyoZCRPRPfT5xTt1tZWfPfdd/j5z3/e000h+jh1dXXtPoaSqPUN6k02XDBYsfvYJdyvH4JFk7QozlbB4/Fg8aR8AAhQtitrm6EbqkFNgxn1LTZOKx87KSCXUaIv4AF87tVcVmQPgGdmj8Ky7UcDlG1WETVFseYyTjdsTjde3FfFmQyNz+PhsduG+X7zt64/8uN83DA4DZW1zQGTdLau9sUmK6wOV9hkblzu5gCQmybHS3PH+lzkN330LdbNKMITU91osTmQIg2s2UtlvYj+gsnmgJTDohxsrZaLBRDweHho4lC44QkZR/VaDewONz4/W4eJw9JxXU6qTyH3J1hGFVIhjalEj9DrFe3HHnsMd955J3Jzc3Hx4kWsXr0aAoEAc+bM6emm9QjtUf46oigSgMNmAXh8FBe33+pISdR6P3UmG5rMDHjg4YkpBZCLBfjfL75HeUUNHpgwBFOKBmLpHcPB4/HQbGHgdHlw2WiFzeHC6l0nOK3VwZMCchklej0eYPvh8yjT5WHZlOFotbmQLBWi3mTDPw6fx69uvRZZKhk2zylGQysTooi21DkDrFoscrEAK6YVQCzko7bRgvn6IRidkxpS/3p/VQMev2NYcKsAAEVZSizeVolt99+IhlY7pCIBhAIems0O1JvsUCaJ8NCbR7D6rhEAEKBs69uSuQW7q+q1aijlIgwTpaDF5sCsMYMClGoulHJxxMUGUgyIvkKqXASJUOCrk+1fs37JtkqsmFaA39x2LVRyCcx2Jy4YrFh2RwEcLhf4fB4EfK98WhkX1Mli/OmTs/jTJ2exaU4xPPAEyGhwSEhJvgYpkl6v7hC9lF7/5V24cAFz5sxBY2MjBgwYAL1ejy+++AIDBvSv0jidUf5cTm63G4IbF2MDPG5MXPoKUtQZMR9HSdR6P+cazXhix7EAC5peq8Zv7hiOZWIB1u06gT9/etYXMwoAg1Jl4MGD3/zjG04XN644UXIZJXo7fAHw8ORhIZm79Vo1Vk4fAR7fmzhQKQ9URo0WBt/Vt8LldmPF9AKs233Sd7xc7J2ov/RxNZ7Ycdx3TLis3y1WJyYNH4DCLGVADHeqXISf35SLF/59Bvf/SIvffng6sISXVoPX59+AD09ewrjBaVg6ZTisjButdie0A5Kw9t0TIe7mpbo8rN11As//ZHRIOEkkIi02EERf4FyjGSt3Btaa95fZ4hwVMpUy8Hh8rNh5DBVtlu0HfzQE04oysfbdoBJ7fseyLuXLphTA6nCBcbrxuV9ISEm+Br+5fRhWt8kmyRXR3fR6Rfvtt9/u6SYkBB1R/ow/nMUnf3gYbnfkpC/xor0W9ER3s5amUAK1/oLRwsBodYQo2YDX2sX78AymFg3E4bakS1wliZ6ZPQpLtlVioEKKD35VgosGKwD4sjCzE3dyGSX6AlKBAGvfP4HinFRf1nE2Udlze05h9Z1ea7HRwqChlYHJ5kCSWIjDtc1Yv/skyvR5KNGqfRZxi92FDIUUK3ceC5h0A22u4uDhzfvGo9ni8FnL1MliPDG1AGt2nQiUxzYXccuwDDyz5xRHZvMGrNp1HNNGZiJdIUVjCwOlXITXDtTg6ZlFKMhS4t7xuSGZ1C2Mq0NhH8GLDQTRV7jQZAkZN+ViAW7IS0OWUort/30TeOBBLORj9TvHfUr2pjnFqDfZsPpdjhJ7bZUH2Cz/W/ZVozBTAQGfh2M/GFGcrfIq1TIR0hUSzPnzF2hoZSgki+gRer2iTQTSHuXPZmpf7eiO0lFrO7lZE4nAJYMV/zlzBWNyVGGzIHuzhg9GmT4vpHwJcHVisHJ6IRRSIRQyEZQyEbmMEn0WM+PEnPG5IYtOrAeHmXHiosEaUkeatXSt3XUCdxcPwqZ9x31Zw50Ga4iSzbK/ugGlusFY8MZX3mRopdfD6fJgw+6TIXHW+6sasGbXCfz6x8MiZjYv0+Wh/EAN1t41Ag0tdjw3e5Qvx4J/tvPCTAW23DsWR2qbYbZT2AdBGC0MDBYHfgjKNC4XC/DivWMhFfHx/L/O4N62PqJMl+eTbXYcLdPlRZVPFjbHCdvXlGg1eOz2YT4lG6CQLKJnIEWb6HI6Ym0nN2siETBaGJxrtGD3sYsYMiAp4r4iIR9jc1LDljM6UN2IJ6YUeJVsuRhKOchllOiz8Hk8zkUn9u9V0wtDlGz/7WvuGoEN751EcU4qlt4xHP+z5zTmjM+NeE2n2+NLTGi2O6GQisIr5lUNvsSF4WArAZjtLuSok5CpksHCuHwWN65FhP839pqI5ySIvg67gFZ68+CQMnhl+jxcMlrx3rFLKM5J9eVxyFTKsO3+G5EiFcIDD7bsq8bcKPLOuLzn1mnVqG+x48a8tIBkhHNe+SIgxINCsoiegBRtotsgV2uit9FkZrD5Y29W4xXTCiPuK+DxIBZFLklU22yBVCTwKdPkMkr0VdweoLLW4FN8g2tcuz0IUbJZDlQ3YvmUAp+1qzhbhf3VjSgNqlPtj1wsQJ46CX/5/Huf8vvS3LER2yiNIq+slYxxuWFzeCfsmmQxVk4vDLuIsOqd49g8p5jkmuiXGC0MPvn2CkpvHgy5WIgMhRCLJml9ic/Y3CUHqhvxy5KhuHNUVkgeh63zxgHgLqHnz4BkCXRaNRZPysfgNDlkYgHe/rKWsvgTCUXkr5ggCKKfcslghd3lwv36Idj76AQkiQXQa0Nr68rFAjw9qwgSIR88HlBeej0WTdJCLg4tZSIW8Ml9jegXWOxOvHjvWGQppQG/ZymlePHesbDYnZGPZ1x46+A5FOekIknstQmwNXe5WDGtIGTCHm2iDiDs+fwrAchEApisXrlVysUYGyGMhC3PRxD9kWaLA7uPXsSCN77CnFe+wPTNFfim1oCdD+nwyI/z4fJ4kJYkxtZ54yCVCNBotqM4J5VzvIwk7yVaDdKSxFh/VxEKBqZgoErmy+I/IT/QoEMhWURPQhZtgiCIIC4ZrGAcTiQJhUhXAGt2ncAC/RCU6vLAA89Xcqg9WZDZifusMYN65J4IojtJSxKDcbnx3rFLIXW0F03UIi0p8qRXIRPi5zcOxiWjFUlS7yQ8uOau/zlHXqMMkEHg6kSdSynWadX4+Ex9xFrfS7ZVQq9Vo85kw2D11dARruoB/tBiGtEfMVoYrNwZmjB0f3UD1r57AjNHZyF/QDJWvRM+A7mFcfnkNpy8l2jVeOz2YbhotCJTIQtQoCmLP5FokKJNEAThR22jGZW1zRibk4pWuxNPve/NSjxnfC4e+/s3ePO+8SjVeWPPrkmV4bk9p0OSLR3wS+qyZV+1b+L+1y9rodGHd38liL7Elo+rw8Zob5hRFFEJlgsFkIr4eO/YJVw02nz7suV8ynR5EAn5EPB4+PxsIy40W0POE0kx9y+px54vSSKE2e70ZREfm6PCuhlF+N2/zuCpWSN9xyuixHpSLCjRH2loZcLmRDhQ3YildwwPUbLZbcDV8ZKVWz7v+wB5B4CBCincHmD+619i85xiTndwCskiEglStAmCINqoM9nw5I5jWD+zCK2MEx4AZbo8zB2fi+w0OSyMC01mBgve+AqAN5YsWMlmYeNMx+ak4khtM/76ZS3WzSiiCQDRL7A4XBEzBlscrojWZKfH41PU2azj7L5sDPbk4QOwbGohKmubfbGfAW1gXL6J+pNTC2G2O2GyOUJK6rHne39JCYR8HkZkKbB5TjEqzxtwpcWGJ6cVBsitJlmMCfkaigUlCD+aLZFDJnhAREWcVaZZud29WA+7040WmwNSkder5aPTdfjTJ2cxNkeFnDQ5jadEwkOKNkEQRBstdga/uWM4bE43pEIBKmubkT8wBVbGDblIgJJ8TYA7anBG1WAsjAsKqRCzxgyCRp9HkwKi32C2R3avtthdAdaq4JrUf//lTT4F3F9hZvfN0yThwxOXcbHZimkjMzEgRYISrTpkIm9hXPimthm3FWZAKODh9QPf+0I//NFp1Xj/+KWALOJysQB3jsr0urPWNkMhE0GTJPbFglJ5PoLwYrQwkIuvqhT+5e/sTjdkIkHU8dJ/+9gcFb5vNMPtQUjiwZJ8DTbOGolBqfL43whBxBlStAmC6Pewic+cLuBKix3XpMpwpdWOHZU/+CbubDz21v01PktctGRLSRIBrlHJaOJN9DsUssjTixSZEJOGDQj4jcfjAQB0Q9WwBCnqFsYVoAT//cGb8MJHVb4JfZZShtV3FWHtrhMBinSJVoOFE7W4589fAAA2zSmGB54AT5RgV3IAvhJeG3afDFDeJ+Rr8MzsURQLShB+NFkYuN0elGjVONzmgRJc/u7N+8ZHPAc7nuq1amyYORLnGy2wuFx4cmoBAB4um2zISJFAkyJBhkIa8VwEkSiQok0QRL/mYqMZLgAWu9dFbVCqDFKRAJs++hajc1JR2mZBk4oEOFjThNtGZCA9WYKV0wohFvBRkq/hLFNUolUjta1mNkH0N+Qib5Z+rtAKvVYNuUiA39wxHE/sOBYwGddr1Xhq1khfOa1wpEivTl+EfB6UciHcbjeemFaAFpsDyRIhhAIeDBYHWu0uPP+T0ZCKBDh6wYDr89Kw8BYtRAJvpYBv61oCXMkBb7woVwmvT6sasGz7UV8JL5Jvor9zvtGM5/ecxmO3D8eiSfmobbSg3mTzhV2xZf2+udCMjbOKkK6QhpT7uy43FVlKGd5brAefzwPP44FAyENWsndfo8WBOpMNhQNTSMkmehWkaBME0W8532iG0+3ByneOBygEkwvS8Zvbh2Pd7hMBSgBr+WoyM8hQSiHgAY/dPgweT6CFjHVtyyLXNqKfYnW4cF/JkIAs/YDXwrygJA9Whwsbdp8MUWQrqhuxYudxrJ8xIvwiVr4GIgEPk4YPwM9uzMVbX5xD0SAlnv/Xt77zycUClM+7Hi9+XBWS4Xi+Lg/3/eUrbP/vm/Hbf53BPTfkoDioZNdNQ9QBsu8PW8KLlGyiv3PRYIXJ7kSpfghsTjdUSSKkK1KxcmfgmDpp+AAsm1KA9e+eCJHHrfPGweZwY/bLn8HCuLDn4RJ44MGITIXXY8TlQHaaHMU5KpI5otdBijZBEP2SOpMNV1rt+N2/vw2xug3PVITU5AWuJm167LZhMFod2HeuCV/XGvDs7FGwOdycLqRGC4OGVgYmmyMgxpMg+jJWxolBqTJMHTnQl6VfIuSj3mTDoFQZWq2OsImR9lc1gHG5sWiiFvB4AvYraSsPxuPx8PDka/E/e05jdE5qiPW5TJ+HzR9XhZXhMn0ezHYnfnVrPn7/0bcozkn1xX8rZSKIo4SFUAkvor9z0WDF0n98EyCfG2eNxPvHLoaMqYVZSqx9l3tM5QO4bnCaz6PEYHFAKRUiFcDQ9OSuvg2C6FJI0SYIot9RZ7KhycxAIhJwurYWZ6vCWrMOVDdi2RQepCIRJhdk4Gfjc8MqzhcNVizdfjTAKucf40kQfZW0JAme3HGMU5ku0Wrw1KyiiMe73B5YGBemjMzEAv0QKOUiCAU8mKxOJEm8U5dms1dZL9XlhchrNBlmlerUJBEennwtGKcbV1rtUMpESJEK0WSOnEGZSngR/RmjhcHSfxwNke90hYRT5iPJIyvDLGa7E/f8+QsaK4k+QeQlW4IgiD6E0cKgpqEVj/3ta0z5w340tnJPpqNlR22xOtFic2CgQhpWyTZamBAlG7ga42mMUgqFIHozFocrvMW6ugGWKDHYPPDwasVZbHjvFJweD57/1xncufkA5r56ENM3V2D1rhMYlCqDXMydzTiaDAPAoe+bYHd4MyIbrQ6IBXx8frYR9/z5C3x1rhk6rZrzOCrhRfRnjBYGF402zuz94eQu1ozjOq0alecNAGisJPoGZNEmCKJfcNFgxSdnruDfpy5jXF4afnPHcIgE3GuN0bKJq5PFUEkjJzpraGU440sBivEk+j4mqzPi9har01cmLxidVg0PvJbnRZO0AW7h/mWDapvM+NuDN4Hflq3cn2gyPEglQ6ZSCgGfB5vDiaEDkrHqneO+cl3lFTXYOm8c+MEx5lTCi+hnsOFPrXYHlDIxVu48jjnjcwL2YeUyO43b+hxNHiVCPmf2fxorid4OKdoEQfR5jBYGmz46g/n6IbgmVQZ1shgb3z+F0TmpnJP9yvOGsBmTS7QaSIR8ZERxZzNFieGkGE+iL5MkEUTcLpcIsHhSPgAEyB872TbbvYp6cbYK5RU1WDRJi3E5qchUSbFh98kAN9SnZxWhRKsJUIj9690HU6JVY8+Jy3jhoyqU5Gsw7+bBmP/6V/j1bcOwfGoBahrMkAj5+PL7Jlw3ODUgxlw7IBmZ5MpK9BP8w5+emDoMKRIRSnWDMSBF4tuHLYX32oEaAOjQmJqdKkdxTmpI9n+Axkqid0OKNkEQfR6jlcF8/RDweIAmWYwN75/CgepGX71PIHCyf/KiESunjwhJiFaiVWOebjCazAwGayJfUxElhpNiPIm+jFwkiGixlosEUEiEWDxJi2VThsNidyFFKoRIyMe5RguSJELIxQJIhPyASXxlRXPIOTe8dwpb540DcDVxWjiLtE6rxjw/q9n+qga4PR7cc0MOlv/zGDbePRIfHLvks2z7MyFfg81t/QVB9HX8w59uGKzClBGZaLE74XR7IPIrbelfCq+ynWOqXqvG+plF+H8vf4aGMKFcNFYSvRlStAmC6NOcbzTjQHUj0hVS5KmTcMVi8w30FsaFJdsqUabP8yVHGqxJwte1zZj76he454YclLUlaclUyvCvk5exZFslXv3FOBgtkd3ZNMliTMjXhJ2wU4wn0ZcR83lYPJHbYr14Yj7EfB4uGG3Ysq8aR2oNPndwALgmVQa5SIDXSschRSrCU20LY2UcSc8ArxwveOMrvP3AjShtsXvlWJ2EZLEAK6YXgHG5YWXcaLU7caS2OcRqxp4bANbvPon3l5QEuJEDXpkll3GiP9FoZjA6W4VfThiC7DQ5Lhqt+O6KGRkKKZxuD9bPKMKKnccCEp1xjal5miRIBHzUNJqx9I7hYJxuuD0eJEmEuGy04UhtMwoyFZyhVjRWEr0dUrSJPoXJZILZbI55/7q6ui5sDdHTXGi2wGRzIlMpw4AUCTwAUqRCvDR3LKQiAY7UNqO8oiZg8l5eOg4XjTY8O3sU7E5voqQUqRC/KD+IhlYGOq0an51tREaERGgAoJSL8czsUVi2/ShN2Il+hwfAAIUY00dm+Sbc3vJedqQrvG6nm/ZV+Sxgrx0IlMOSfA0eumUorA6XT1FnEyb5x2nbnW6fLF8y2vDg/x4GAPz9wZsgE/Hhcntw5+YDeGnuWCx880jY9rLntjAumKwMNs8p9tbw5SjZRxD9AQ+AC01mDBo7CM0WBwAeBmuS8Nl3jSivqMGffnYdrs9LQ5ZKhq3zxgXIYnlFjW8x668P3IhGMxMgf1vnjUOyRIjB6iRoksW4cYiaxkqiT0KKNtFnMJlMyB2cB0NzU7uPdTkjZ8Aleh/nGs1YseMYTl1uwevzr4dYyMeaXccDMiHrtGpsmlMcYOHKUsqguFYEk82B3DQ5LptsuO8vX8HCuAKStUwenh61DVkqGU3YiX5Jq8OFOqMN3um6Px6cb7IgQykNSXYWrEC7AUhFAsjFAlgYFyRCfkA8qL9irtOqcdeoLN++JpsDm/ZVYe1dI/A/s0dCKoocM+6frClJ4k10SHJK9FeMFgYv7v0Wv5p8LVbu9I6brHzeNEQNvVYDpUyIH12bjqffOxlxXJWJBZDYr8pXSVtmcXVSOgqzlAAApRw0VhJ9ElK0iYSmPRbnuro6GJqbcNuK1yFVpMV0jPGHs/jkDw/D7Y5eCoboHRgtDExWB5774BTK9HnIVMlgtDjQYnNidE4qDtcafEo1aykr03tdUkvyNRAIeHjho2+x5q4i2B1OCHg8PP+T0ZAI+ag8b/BNHmKNG6MJO9Ev8QB/3n82bIz2ymmFkIsFuK0wA8XZKvzipsHI0yRh3bsnQizb7KS98rwBK6YVhFXMG8127Fqkx5FzTTh+0Yj9VQ1Y+c5xTB+VhUyFNGLMOFtSiFxVCcJbNaNUPwQrdx7HkVoDHvlxPqaMyMRze04BAMbmpAIewANPxHH1m/MGCPk8n3zptGqsvHMEZr54ALPGDAq4Jo2VRF+EFG0iIXHYLACPj+Li9ieeEcmVkCmjZKpqw2Zqv/WbSFwuNFmwZtdxPD51OJZMHoYNu0/gsF/8Z3G2Cn978CZ8dKoOf/70LCyMyxefqdeqsfrOERDwgHV3FUHE5+GZj6rw0an6kOvQZJwgIsOW5+LiQHUjwANevHcsTvxgRLpCCplIgIZWO8bkpOKI36R9f1UDPB4PyvR5KK+owV8fvBFP7Dge1rJdotXgoYlaZCikkIsFPvn+7b/OYP2MIqx+50RguS6tBo/dPgwL3jhErqpEv4Ut4WWyOZAsEcLj8SY8O9IW2lFvsuH3H53BksnXosXmhNHqzQR+pLYZJy8aQzzDDlQ34qFbtJhaNBApEiFuuXYAxuWm4qLBig+OX8K43FQaQ4l+ASnaRELiYmyAx42JS19BijojpmPIOt2/udxsweffNWD51ELwAKzefdyXVTx0Mh7o2pYsEWLDzJFoarUhNUmC+hY76lqsWHPnCDBON8WNEUQ7MdudYWOpyytqwOcBUhEfu49dCkmWFjxpr6huxMJbtNiyrxoXmq0AEJDp2J/91Q1ww4NpIzN9nip2pxsfna7Hz27MxeN3DEdpi80XMz4gRYJNe6vwj1/ejFS5iOSa6HdcNFix9B9HAxagpo0ciMWT8vGXshtgtDowOluFwiwlnt1zmrMc31sHz/nkjUUk5IPPB2wuF35R/iWKc1SYr8vDvtP1NIYS/QZStImERpqSRtZpIipGCwOby41r0uRYs+s4SnV52B8U/+nP/upGuHHVZVwpE+HIuWZcl5uKK61WCPg8jMtJw6A0OcWNEUQHSJYKw8ZSb5pTDBGfjy0fV4fIZnA4Bwufz8Ob941HitQ7bfHPdBwMa8XOUEgBXI2/dnk8+PDkZd9xOq0axTmp+OhUPRinm0p3Ef0Oo4XB0n98ExBjLRcLcP+EoXjKL/Z6x8Kb8bt/nQkrr8U5qb6qASzJEiFarA4oZCL89cEb4fEAIj4PT80a6ZNNgujr8KPvQhAEkdi0WB34/LtGbPm4GvurG30ZhIuzVRHdV4uzVSjJ10As5CNHLQOf502ENEglw6A0OQBv3NjQ9GSMyUnF0PRkUrIJIgYkAj7nIteB6ka8fqAGNqc7qmz6kyIRIj1FghM/GKHTqn0yHg670w270x0Qf52ukKC8wluPm7XEsX9/WtUQto4vQfRV6kz2ACUb8C5y/fbD0wG/CwW8kP1YWHn1l8kSrRoejwfpKVKcb7ai3mTHiYsmpMrFpGQT/Yo+o2i/+OKLGDx4MKRSKcaPH48vv/yyp5tEEEQ3cL7RjBbGhXSF1DdxZy1Y0SbjADBfNxhPv38KaUkS2FwuZCllyEqVd2mbie7BaGHwXX0rKmub8d2VVhgtpEh1F5EU6YrqRrTanBGPD5i052vg9gBNZjsEfB5WTx8BlSxyMkKJkA+lTORTpkvyNUgSC/H8T0Zj67xxKM5JDamn3WJztOMOiUiQ7CU+Rgvji7X2pzhbFaJUN5sjywYbigF45XW+Pg9CAQ9ujweaJDEGq5MwtWggBqpk8bsBImEgeQ9Pn3Ad/+tf/4pHH30UL7/8MsaPH48XXngBt99+O86cOYP09OgleAiC6J2cazTjiR3HMHd8bsDvlecN0GnVASV7uLgmVQYeD1g5rRAqis/sU3DFHU7I1+CZ2aOQRZO9Lsdsj6xIyyWxldvSa9VYMa0Ac189iJ/flIuJw9LBuFwYpJKhJF+D/X75E1h0WrWvXveSbZUYl5uKZ2ePgtXhilhLO9ZKAkRkLhqsWLr9aMC7IdlLLNh3tOyO4SHbuBaone7gMn2BqGQiyMQCvHXfeNicLrx1sBa//cloGlO7EP8EdgqZCJqknglrI3mPTJ+waP/ud7/D/fffj/nz56OwsBAvv/wy5HI5ysvLe7ppBBFCXV0dLl26FPM/k8nU001OSOpMNjyx4xgOVDdCIuQHKNXlFTWYr8tDnckGnVbNeXxJvgbJIgGuzVAgV5NEE4I+hDfuMFDJBrzuwUu3H6XV9m6AjaUOh1wkQEk+d/6NknwNrkmV4b3Fejw5tRDNZu+E8vf/rsJdWw5g+uYD2PnND1g0UYsSbeA5dFo1Fk/Mx/ghaRDweNix8GZsnlOMTJUM6iQxJoS5JlUSiA9GCxMy6Qa8sreMZC8h8H9HEhE/ZIzkWqA+UtscdizVa9VIlgqxeV8VLA4X3vqiFmvuHEFjahdy0WDFom2VuPV3n2DWS5/h1t9+gsXbKnHRYO3WdpC8R6fXK9oMw+Dw4cOYPHmy7zc+n4/Jkyfj888/78GWEUQg/iXLsrKyYv6XOziPlG0Oms2MzzW18rwB9Sa7byJgYVxYsq0SV1rtWH3niJDJeEm+Bk/PGolB6qRubzfR9dS32EOUbJb9VQ2ob7F3c4v6H8lRFGkJn4fV0wtD9inJ12D19EK4PR7Ut9jRYmeQoZCG7PenT7zl+e4cnYl//PImvP3Ajdi1SIcnpxYgUymBy+NGcY4KwwYqfBN+pVyMZ2aPClG2qZJA/GhoZTi9DACKg08U/N/RhSYrFk3UBijRlecN0Acp1ezidfDvJfkarJ9ZBLGAh6V3DEdGigTrZozANWkUftVVJJJyS/IenV7vOt7Q0ACXy4WMjMASUBkZGTh9+jTnMXa7HXb71YkWKTFEd9CRkmU2UxP+taEUZrMZCoWii1vY87RHNk1+8ZTlFTX408+uw+JJ+QC8yVksjAu//3cVjl0w4qlZRbA4XGi1OaGQCpGhkNKkug9j4Ig79IcrLpGITnvks8Fsx/oZI7DynRMBE7GSfA3WzyjCFbMdC/5yGM/OHoXH7xiGVpsLyVIB6k123PPKF/jHL2/CmwfPYeQ1SkwdmemVbQ98CygWxoU3D57DqumFaGhl0Gyxw+0W4ZpUGZSy8GEgWSoZVRLoQkxR4twpDr5r6OjY+dg/vsE/fnkTpo/MRJkuD3anG3KRAFOLBmLjB6d9smthXHjr4Dmsbit5aWacSJGKIBXyYXe6IBcL4XJ7MJDG1i4nFuW2u94ByXt0er2i3RE2btyItWvX9nQziH5Ke0qW9TfaI5v+8ZQWxoUH/+8wHp6sxdq7RsDudMNidyFFJoRcJIDV6YRUKEAmZQ3vFySJI8f/yqNsJ7hpj3wKhQL8fOuXeHHuWCyfWoAWqwMpMhGcLjd+vvUgXv75dSjMVGDBG1+FHDshX4NUuRjrZhRh2faj+NMnZ/HQxKFYMb0ATpcHFsYr2wqpCHaHC3wecG16SswKs1JOinVXoYgS505x8F1De2TT/x01tDI432hFukKKdIUkYMHrxiFpmK/LQ4pECKlYAD4PYFxu8HiAQiaCgMeDB0CmQkby1I0kknJL8h6dXq9oazQaCAQC1NXVBfxeV1eHgQMHch6zfPlyPProo76/TSYTsrOzu7SdBEFEpz2ymSwWQK9Vo6LNfdzCuPD0+2fw9PtnUKLVYM1dIyDk86CUiZAjJxfx/kSSWAidVs2Z9VqnVSNJ3OuHvh6hPfIpFwmQo5bjri0HQrbptGrIRQI8M3sUlm0/ik+DkuiwbtxKOQKsz0I+HwMVpCQnMppkbxz8pxwWN4qD7zraI5vB7+jguSZU1jZz9pclWg3WzhgBK+OCjXFBJReTB0gPk0jKLcl7dHr9bEMsFuO6667D3r17MXPmTACA2+3G3r17sWjRIs5jJBIJJBJJN7aSIIhYaI9sKmQirLmrCGt2Hfcp24A3Mcvqu0bQZKAfo5KLAsIIWHRaNRZPyodKTqvsHaE98pkkEWLxxDDvYGI+kiRCpCukUd24yfrcu2Dj4CMtoBDxpz2yGfyOyitqsGlOMXhAwFiq06rx0CQthDyeNySD3l1CkEjKLcl7dHq9og0Ajz76KObNm4dx48bhhhtuwAsvvACz2Yz58+f3dNMIIi4Ee2xEIykpqc/HdCvlYlgZFxZNysfSKcN9Lm9muwspYgF18P0YpVyM3DQ5po/K8sUdSoR81LfYMThNTt9GN5CukMLucAXEfkqEfNSbbBikkiJdIQVAinRfhOLgE5/gdySXCLBoUj7K9ENgc7gC+kuqfZ1YJJpyS/IemT6haP/0pz/FlStXsGrVKly+fBljxozBnj17QhKkEURvwz9TeXtQpabh3Pc1fV7ZHqiSQSYWoKGVgcvlgVwkRE4qKVIEkKmSYWrRwIDBf1xuKn0b3Ui2OgmTRAI0mxmY2hIRFg1SIqNNySb6LrSAkvgEvyO2LjP1l4lPoim3JO/h6ROKNgAsWrQorKs4QfRWKFN5dKiDJ8JB30bPk6GQkmJNEL0A6i97F/S+egd9RtEmiL5MRzKVk7s5QRAEQRAEQfQMpGgTRB+jo+7mSlUqvjz4BVJSUmI+hpRzgiAIgiAIggiFFG2C6GN0xN289coP2Pf8Qxg2bFi7rtVfYsEJgiAIgiAIoj2Qog3A4/EA8NYdjERLSwsAwNLUAJfTFdO5rYYm7zGGBvD5fDqmnx7TE+1zu9wxf6cOqxXwuHHjg88gSRWbi7q91YCKFx/D5cuXY9o/JSUFPB4vpn1ZYpVNgiA6TkdkEyD5JIjugMZOgkhMYpFNnoeVxn7MhQsXkJ2d3dPNIIg+jdFobLflm2STILqejsgmQPJJEN0BjZ0EkZjEIpukaANwu924ePFixJUJk8mE7OxsnD9/ntxkOaDnExl6Ph1blQ+Wzb7yHPvKfQB95176yn0A7b+Xjlq0Yxk7O9IeIjL0PONLoj/Pjo6dZ86cQWFhYcLeV28h0b+P3kJffI6xyCa5jgPg8/m45pprYtpXoVD0mQ+kK6DnExl6Pu0jnGz2lefYV+4D6Dv30lfuA+j6e2nP2Nkd7elv0POML33pefL5fAwaNAhA37qvnoSeY3zob88x9gBTgiAIgiAIgiAIgiCiQoo2QRAEQRAEQRAEQcQRUrRjRCKRYPXq1ZBIJD3dlISEnk9k6PnEh77yHPvKfQB95176yn0AiXcvidae3g49z/jSV59nX72v7oaeY3zor8+RkqERBEEQBEEQBEEQRBwhizZBEARBEARBEARBxBFStAmCIAiCIAiCIAgijpCiTRAEQRAEQRAEQRBxhBRtgiAIgiAIgiAIgogjpGgD8Hg8MJlMoLxwBJFYkGwSROJC8kkQiQnJJkEkBqRoA2hpaYFSqURLS0tPN4UgCD9INgkicSH5JIjEhGSTIBIDUrQJgiAIgiAIgiAIIo6Qok0QBEEQBEEQBEEQcYQUbYIgCIIgCIIgCIKII6RoEwRBEARBEARBEEQcIUWbIAiCIAiCIAiCIOJIjyran376Ke68805kZWWBx+Nh586dAds9Hg9WrVqFzMxMyGQyTJ48GVVVVQH7NDU1Ye7cuVAoFFCpVFiwYAFaW1u78S4Iov9htDD4rr4VlbXN+O5KK4wWpqebRBAEQRBxhcY6gugfdJWsC+Nylg5iNpsxevRolJWV4e677w7Z/txzz2HTpk144403kJeXh5UrV+L222/HyZMnIZVKAQBz587FpUuX8O9//xsOhwPz58/HAw88gLfeequ7b4cg+gUXDVYs3X4U+6safL9NyNfgmdmjkKWS9WDLCIIgCCI+0FhHEP2DrpR1nidBqtnzeDzs2LEDM2fOBOC1ZmdlZeHXv/41HnvsMQCA0WhERkYGXn/9ddxzzz04deoUCgsLcejQIYwbNw4AsGfPHkydOhUXLlxAVlZWTNc2mUxQKpUwGo1QKBRdcn8E0RcwWhgs2lYZ0BmxTMjXYPOcYijl4rhdj2STIBIXkk+ir9LdY128IdkkiNjoallP2BjtmpoaXL58GZMnT/b9plQqMX78eHz++ecAgM8//xwqlcqnZAPA5MmTwefzcfDgwbDnttvtMJlMAf8IgohOQyvD2RkBwKdVDWho7ZyrDckmQSQuJJ9Ef6Grx7p4Q7JJEB2jq2U9YRXty5cvAwAyMjICfs/IyPBtu3z5MtLT0wO2C4VCpKWl+fbhYuPGjVAqlb5/2dnZcW49QfRNTDZHxO0tUbZHg2STIBIXkk+iv9DVY128IdkkiI7R1bKesIp2V7J8+XIYjUbfv/Pnz/d0kwiiV6CQiiJuT4myPRokmwSRuJB8Ev2Frh7r4g3JJkF0jK6W9R5NhhaJgQMHAgDq6uqQmZnp+72urg5jxozx7VNfXx9wnNPpRFNTk+94LiQSCSQSSfwbTRB9HE2yGBPyNfg0TCyLJrlzMWskmwSRuJB8Ev2Frh7r4g3JJkF0jK6W9YS1aOfl5WHgwIHYu3ev7zeTyYSDBw/ipptuAgDcdNNNMBgMOHz4sG+fffv2we12Y/z48d3eZoLo6yjlYjwzexQm5GsCfp+Qr8Gzs0cldHIYgiAIgogFGusIon/Q1bLeoxbt1tZWVFdX+/6uqanB119/jbS0NOTk5ODhhx/Ghg0bkJ+f7yvvlZWV5ctMXlBQgDvuuAP3338/Xn75ZTgcDixatAj33HNPzBnHCYJoH1kqGTbPKUZDK4MWmwMpUhE0yWKaeBAEQRB9BhrrCKJ/0JWy3qOK9ldffYWJEyf6/n700UcBAPPmzcPrr7+Oxx9/HGazGQ888AAMBgP0ej327Nnjq6ENAG+++SYWLVqEW2+9FXw+H7Nnz8amTZu6/V4Ioj+hlNNkgyAIgujb0FhHEP2DrpL1hKmj3ZNQvUGCCMVoYdDQysBkc0AhE0GT1P0TDpJNgkhcSD6J3kgijG1dDckm0Z9JJBlP2GRoBEH0HBcNVizdfjSgtuCEfA2emT0KWSpZD7aMIAiCIDoGjW0E0bdJNBlP2GRoBEH0DEYLE9JJAcCnVQ1Ytv0ojBamh1pGEARBEB2DxjaC6NskooyTok0QRAANrUxIJ8XyaVUDGlppMkIQBEH0LmhsI4i+TSLKOCnaBEEEYLI5Im5vibKdIAiCIBINGtsIom+TiDJOijZBEAEopKKI21OibCcIgiCIRIPGNoLo2ySijFMyNIKIQiJlL+wI7W2/JlmMCfkafMrhfjMhXwNNcu+5d4Igepbe3n8SvRv/7y9ZIsTGu0di/e6TsDCugP1obCOI7qErx4RkqRBv3TceBqsDUpEAR2qbUV5RAwvj6jEZJ0WbICKQaNkL20tH2q+Ui/HM7FFYtv1ogLI9IV+DZ2ePokkyQRAx0dv7T6J3w/X9leRrUF56PcpeP+RTtmlsI4juoSvHBK5z67RqbJpTjL9+WYt1M4p6RMapjjao3iDBjdHCYNG2Ss7EChPyNdg8pzihB+bOtp9ddWyxOZAiFUGTTHW0CYK4SiT57O39J9G7ifb9rZ9RhGYL02NjW1dDYyeRaHTlmBDp3CX5Gjz/k9HIUEg7dO7OQhZtgghDLNkLE3lw7mz7lfK+N/kgCKJ76O39J9G7ifb9Od0ejMlJ7eZWEUT/pSvHhEjn3l/VgFabExk9tN5EydAIIgyJmL2wPfT29hME0Xuh/ofoSej7I4jEoitlMpHlnRRtgghDImYvbA+9vf0EQfReqP8hehL6/ggisehKmUxkeSdFmyDCwGbf5qI3ZCjt7e0nCKL3Qv0P0ZPQ90cQiUVXymQiyzsp2gQRBjb7drDw9pYMpb29/QRB9F6o/yF6Evr+CCKx6EqZTGR5p6zjoOyMRGQSIft2Z+jN7SfZJIjEJRb57M39D9H76a/fH42dRKLSlTKZiPJOWccJIgq9Pft2b28/QRC9F+p/iJ6Evj+CSCy6UiYTUd7JdZwgCIIgCIIgCIIg4ghZtAmiF8G6xZhsDihkImiSEm/1jiAIgoX6LIIgiN4J9d+dhxRtguglXDRYsXT7UeyvavD9NiFfg2dmj0KWStaDLSMIggiF+iyCIIjeCfXf8YFcxwmiF2C0MCEdHgB8WtWApduP4lyjGUYL49v3u/pWVNY247srrb7fCYIguotIfday7UcTrl+ifpMgCMJLZ/rvaH1pf+tryaJNEL2AhlYmpMNj2V/VgO+umPH6gRpsmFmEdbtP4qNT9b7ttAJJEER3E6nP+rSqAQ2tTMK4IJLlhiAI4iod7b9/aLbgXKMFBqsDUpEAe0/X48wlE9bOKEKWStYv+1qyaBNEL8Bkc0TcLhcL8NW5Zjyx4xiGZwaW8khUCxJBEH0XozVyf2O0Ru7TuoveZnknCILoaqLNOVs4tl9osuDx7Udx76sHsfDNIyh7/RAqa5vx0xtysPqd46gz2fplX0uKNkH0AhRSUcTtLrcHZfo8VFQ3ojhbFbKdXYEkCILoDuSSyA5zcomgm1oSmVgsNwRBEP2JaHPOlKDtRguD5f88igPVjQG/H6huxGsHajAsU4Fmc//sa8l1nOhV9NcMiMlSIUryNZydlE6rxudnryrYdqeb8xxcK5AEQRBdgZjPh06rDpl4Ad4+S8xPjHV+k80BuViAMn0eirNVsDvdkIoEOFLbjPKKGuo3E4z+OgcgiO5EkyzGhHwNPuWYc07I10CTHChzDa0M9vv19cF9ak6a3Pe7hXFxXtNsd/RJ+SZFm+g19MfYDsB736veOY55Nw+G2+MJmLjqtGrM1+VhybZKPP+T0QAAiZB7Ahu8AkkQBNFVNFsZzNflAQBnn2WI4lreXShlImyaU4zXDtRgy75q3+86rRqb5hRDIaN+M1Hor3MAguhulHIxnpk9Csu2Hw1Qtifka/Ds7FEhyq+/q7lcLODsU0vyNdg0pxhLtlWGKNtysQAKmRiLtlX2OfkmRZvoFUSLo9s8p7jXr3px4X/fn33XiDJ9Hsp0ebA73VDKRLA5XFjc1mlJhHzotWpUnjeEnIdrBZIgCKKrUEhF+PnWLwP6LImQj8rzBizZVol3HtL1dBMBAEkSIV47UMPp8sgD8Nv/GtMj7SIC6a9zAILoKbJUMmyeU4yGVgYtNgdSpCJokrktzP6u5mX6PM4+dX9VAzweb5ijvwIOACunF2LlzuPYX9335JsUbaJX0Jsy2MYT//u2MK6QzmnrvHGwMC7otGrUt9jx9KyRWL/7ZMA+4VYgCYIguor0FAmuy00N6bMAr2UjPUXSA60KpdXm5HRvB4CK6ka02pzIUHBuJrqR/joHIIieRCmPzXXb39W8OFvF2e8D3j514S3agO0T8jUYm6PC8n8e4zymt8s3KdpEr6AjGRD7AtHu2+50oyRfg/UzipAqF0EpF+P5n4yOaQWSIAiiq1DKxXi2Ha6HPUV/HVt6G/SeCCJx8Xc1D5cniEUqEmDvoz8KmKOebTBHPKY3yzcp2kSvoL0ZEPsK0e57iCYJW4JcamJdgSQIguhK2uN62FP017Glt0HviSASG7a/v2S0RdxPKRNhaHpywG8KaeScHb1ZvhMj7SdBRIF1S+GiL8cfR7vvTKU0oSatBEEQ/ijlYgxNT8aYnFQMTU9OuP6qv44tvQ16TwSR+CjlYmQqpe2W1b4s36RoE70C1i0lWBATzQ0x3vTX+yYIgugOqI/tHdB7IojeQUdktS/LN8/j8Xh6uhHhcLlcWLNmDf7v//4Ply9fRlZWFkpLS7FixQrweDwAgMfjwerVq/HKK6/AYDBAp9Phj3/8I/Lz82O+jslkglKphNFohEJBWU8SGbbGXqK6IXYV/fW+STYJInHpS/LZX/vY3ga9p9joS7JJ9E46Iqt9Ub4TOkb72WefxR//+Ee88cYbGDFiBL766ivMnz8fSqUSS5YsAQA899xz2LRpE9544w3k5eVh5cqVuP3223Hy5ElIpdIevgMi3vT1+GO2kzHZHFDIRNAkiX333JfvmyCIvkm4Pi3RoD62d0DviSB6hvb25R2R1b4o3wmtaH/22WeYMWMGpk2bBgAYPHgwtm3bhi+//BKA15r9wgsvYMWKFZgxYwYA4C9/+QsyMjKwc+dO3HPPPT3WdoJoLxcN1pA6oRPyNXhm9ihkqWQ92DKCIIj2Q30aQRBE74f68o6T0DHaN998M/bu3Ytvv/0WAPDNN9+goqICU6ZMAQDU1NTg8uXLmDx5su8YpVKJ8ePH4/PPP++RNhNERzBamJBODPDWD1y2/SiMlsgZGQmCIBIJ6tMIgiB6P9SXd46EtmgvW7YMJpMJw4cPh0AggMvlwlNPPYW5c+cCAC5fvgwAyMjICDguIyPDt40Lu90Ou93u+9tkMnVB6wkiOqwrjt3pCunEWD6takBDK9Pn3Gm4INkkiMSlPfLZ0MpQn0a0i94SZpCI0NhJdBWd7cv7u1wntKL9t7/9DW+++SbeeustjBgxAl9//TUefvhhZGVlYd68eR0+78aNG7F27do4tpQg2o+/K85Lc8dG3LfF5uimVvUsJJsEkbi0Rz5NUfqs/tKnEbFBrqmdg8ZOoqvoTF9Ocp3gruO/+c1vsGzZMtxzzz0YOXIkfv7zn+ORRx7Bxo0bAQADBw4EANTV1QUcV1dX59vGxfLly2E0Gn3/zp8/33U3QRAcBLviSISRRTFFKuqOZvU4JJsEkbi0Rz4VUfqs/tKnEdEh19TOQ2Mn0VV0tC8nufaS0Iq2xWIBnx/YRIFAALfbDQDIy8vDwIEDsXfvXt92k8mEgwcP4qabbgp7XolEAoVCEfCPILqTYFecyvMG6LRqzn0n5GugSe4fbjYkmwSRuLRHPjXJ4pCaqCz9qU8johOLayoRGRo7ia6io305ybWXhFa077zzTjz11FN477338P3332PHjh343e9+h1mzZgEAeDweHn74YWzYsAG7du3CsWPH8Itf/AJZWVmYOXNmzzaeICIQ7IpTXlGD+bq8EGV7Qr4Gz84e1a/iWQiC6P0o5WI8M3tUyASN+jQiGAozIIjEpaN9Ocm1l4SO0d68eTNWrlyJhQsXor6+HllZWXjwwQexatUq3z6PP/44zGYzHnjgARgMBuj1euzZs4dqaBM9RiyJH4JdcSyMC0u2VaJMn4cyXR6UMhFS5WJokvtX0giCIPoOWSoZ/ucno9FsZmCyOaGQCZEqFyNDQeMzcRUKMyCIriMeyciyVDJsnlOMhlYGLTYHUqSiqPNTkmsvPI/H4+npRvQ0JpMJSqUSRqOR3G2IThFr4gejhcHibZX4lMOtZkK+BpvnFJOCDZJNgkhkosknJcIhYoHGw/hDYycB9GwfTHLthRRtUIdExAejhcGibZWcMSkl+Ro8/5PRkAr5vpXFJLEQh2ubsX73SVgYF4CrrjiZNAkFQLJJEIlMJPmM1B/2p0kWERsXDVYs2340YFLONR729lJB3dV+GjuJWPpgAF36PXLJ9Y8L0rHmrhGwOdwh1+3t8s1FQruOE0RvIlLih/1VDfiuvhV8Pg9lrx8KUKzfX1ICk5VBkiS6Kw5BEERvgOpoE+0hFtfU3u4h0dvbT/QuovXBl002NLYyMFgdkIoE2Hu6HmcumbB2RlHcvsdguVbIRBAL+Fj2z2MhcrBhZhHW7T6Jj07VB/ze2+UjoZOhEURvojlKqQKD1YHN+6pQps/z/fZpVQNWvXMcueokDE1PpoknQRB9AqM1cn9otPaPRDhE7CjlYgxNT8aYnNSQ8bC3lwrq7e0neh/RkpFdaLbi3lcPYuGbR1D2+iFU1jbjpzfkYPU7x+P6PfrLtTpJjOU7jnHKwRM7jmF4piLk994uH2TRJog4YLQwYJzuiPtIhHwcqG5EmS4v4Hey7hAE0deQSyJPL+QSQTe1hOgLdNRDIlFcUcnDg+huoiUjC+ZAdSMAoDgntd3fY6xyFkkOKqobMT9ofgz0fvkgRZsg4kBDK4PPzjZCp1X7Oit/dFo1Ks8bAAB2DoW8v5Q5IAiifyDm8yP2h2I+OdQRsdORUkGJ5KpNpY6I7oatf82VjMx/TuoPawxqz/fYHjmLJgdc82Ogd8sHjXQEEQeMVsZXC7tEG1hrUKdVY74uD+UVNQC8lu1g+kuZA4Ig+gfNVgbzdXnQadUBv7P9oSGKazlB+NPeUkGJ5qpNpY6I7iZc/euSfE3AnDQYu9Md8/fYXjmLJgdc82Ogd8sHWbQJop1wucjIxUJfLezNc4rxy1uGwmh1QCLko/K8AUu2VcLCuDhXESfka6BJ7p0uMQRBEFwopCL8fOuXKNPnoUyXB7vTHdAfvvOQrqebSHQh8XbZjmSd4xpDE81Vu73tJ4j2wiVzXEkGhXwepmza70vKG4xKJgr7PQZfQ8jj4fC5Zs59ueQskhzow1jZe7t8kKJNEO0gnIvMimkFKNFqsL+6AYu3VWLTnGK8efBcgNtkSb4GD03Uouz1QwHHPjt7VK+NPSEIguAiPUWC63JTsWVfdci2knwN0lMkPdAqojtojytprAo5a50LVwIs+JhEc9Vub/sJoj1Ek7ngxILjclPDKru5ajnn98h1jZJ8DTbNKfYZk+RiAcr0eSjOVsHudINxumC0XFW2I8nBhplFWL/7ZMA1+4J8UB1tUL1BIjYi1STc87AeQj4fa3adQEV1o6+zuXmIGmIhHylSIQYqpAAQsXwJEQjJJkEkLtHqaJ++3IIt+6qw33/BUavGokn5GD4whfq+Pkh76qd3JIaaVcyjjaHf1bfi1t99Eradex/9EYamJ7f39jpNrO3vLDR29h/aI3MsXPWtS/I12DhrJK5Jk7frGjqtGsU5qSivqMGmOcV47UBNgJGJS6bDyUF3yUd3QhZtgoiRSK5oPPDw9PunMCYnFfP93CQ/O9uIkxeNWDW9MGBFjyAIoi/T0Mpg/uuHUKbPQ2mQ6/j81w/h3UV66gs7QKJk0Q5HrC7b0WI7uZQDwDt+xnK/ieqqHWv7CSJWOhIm4e9SbrQ6IBcLwOfzwLjcARboWK7BJlAr0+eFKNlsG4JlOpwc9EX5IIs2Ylv5qzPZ0GxmYLI5oZAJkSoXI6PNQtkbSPTBuSvxv/dkiRAiAQ/NFgYqmff+LQ4XLHYXFDIh5CIBrE4XjBYnUqRCyMQCWB1OwMODB0Cr3QmFVAixgI9Gsx3JEhHkYgHsLhfcHoAHwO0BzDYnUuViMG43Wm1OJEuFSBYJ4PR4YHW4fat1SWIB4PGgwcwgSSKESMCHwWJHqlwCh8sDM+OEUiaCVCSAyeqAyeaAUiaCWMCH0cogRSbmfJd95X3TqjxBJC6R5LOythnfnGvArYVZaGVcMFm9fVGyWIC9Jy9iTK4GY3JSo14jUl8Wz37uQrMFLTYnTFZvH5ssFeKa1FDLTqztNVoZyCVCCPg8iAV8OFxuuNoGCTGfD5vTOw4oZKKA+USke7pisMLmcvuep1LmHUM8bhcaLE4o5eKYng/7e6vd+7vd6fa+H6kIKVIhHE43mq2Rn6nRwqDRzMDp9sDt8cBid0IlF8PhcuMHgw0SIQ+ZShkYpxtGqwMKmRBOlwdCPg8WhwvJEu94a3a4YLR470UuFqChxQaZxPudZKuTOvz8TTYHksRCHK5txvrdJ31urSunF2JsjgoWxuW7PzPjgtHq8D5TuQgpEiHsvnbH/l0FP+9kiRBmu7Pd54kHNHb2XYwWBkaLA063B1anCzbGBZVc7JO1ZKkQV1psqGloRcm1AyDjC+DhAa2MCy1tc0iRgI/GVjuSpV5Zg9sDs9MNm8MJdZIkoM9OEgsgANDicKHF6tWB2D7NDaDV5kSSRAg+D5AI+LC53DBZvLLknSszkIsFkIkEEPN5cLhd4PMFsDCuXqtTtYcOWbSHDBmCQ4cOQa0OzCZqMBgwduxYnD17Ni6NSxRqG81YvuNYwCqNXqvG07NGIqcDA0F3k0glLrobrnufNHwAlk0pwGWTDVs+rg6Mo9ZqMF8/GIve8sab3Dp8AB6/owDr3jsRsB+bOfcX5YdwXU4qFk3SgnG68edPv8PhWgM2zSnG7z76NjRG+5ahKHvjK18SCr1WjTV3FcFsd+FnW7/EjUPSsPSOAqx45zgOtLmgc7nisNe/99UvMS43NeBd9uf3TRBEYnCNTITUgiws4xg7N8wciaQY1vgj9WU8AI/HqZ8712jGExztfGrWSOS2Y4wPbq9cLMDWeeOwdf9Z3DM+F9sPn8fDk4f5+nf/az09ayTEAj5+E+aeksQCmJ1uPLmT+3n+3+dV+OfXl30xjR4g5Nn9uCAdK6cX4smdx3H4XDM2zSnGcx+eCTnf+plFWLKtEuebrZzP9KLBilXvHMc9N+T4xiZ2rHrjQI1vDFwZZRzTa9Uo1eX54jv1WjVWTh+Bua9+geEDUzr9/Nnn9/6SErTaGCRLxVi58ziW//OY7/2Ul16PF4PCG4LbFct3xXXtjpyHICJxyWDF+WYLXG4Ptnxcjcpw802tBmtmFIIPwAkPntxxnHMOOe+1Qxibo8KGmSOxee8ZPHZHAWefveauEfjZqwfR0Mr4+rWXPq4OCgvSYOHEoVjgN8e9Olf+EsU5KiyemI8spRTPfHAK7x+vC7hGb9Gp2kuHLNp8Ph+XL19Genp6wO91dXXIycmB3W6PWwO7g0grf3UmGx7929ectUD1WjV++19jEnoVpiOxG32FcPe+aJIWWUop3jt2ifO9lmjVGJ3jTeKzaJIWlbXNYWvBFrftV6JVY+rITCzfcTzmY1j0WjUWTdKiom1//2NjPRf7LgH0qfdNq/IEkbhEks8LzRYs3X407Nj5zOxRES3G0cauKSMzfQpT8Lb29HOdbWek9rL9d3FOKiprm1Gmy0M5h2sle61Fk/Jxz5+/4Lynp2YWhUyA/Y/dOGskSv7nPwCAjXePxPtHL2F/dejYx44nkcYWvVaNx+8Yjru2HPBdn32m7H2OzlaFHauCz92eMVHfNjFf8MZXnX7+/s/vf34yGo/9/RvO9xNLuyJ9V7HEr8ZynnhCY2ffw2hh8P7xy/B4PL75a6RveOOsIozJUWHDe6eifuNsHxKpj2Hlsr1zXP/fdFo1po/MRLpCigVvfBVyjUTXqTpCu+po79q1C7t27QIAfPjhh76/d+3ahR07dmD9+vUYPHhwV7Szx2g2M5wfEwBUVDei2ZzYtUBjid3oq4S79+JsFTIU0rDvdX91I4qzVb59w+13wG+//dWNSG/rHGI9hqWiuhFJEiGKs1Uhx8Z6LvZd9uf3TRBE4tBic0YcO1tszojHR+vLwmUtb28/19l2snC1l+2/2f+mKyQRr5UkEXBu+7SqAa2MK+KxrW2u0YsmaVE0SBGiZPu3J/j/uc4nFFydHvo/U/Y+i7NVqKw1YNEkLbbOG4fbCjPCnrs9Y2JF23Ni/78zz9+//c3m8O8nlnZF+q6ixa/Geh6CiERDK4P0FEnA/DXSN5yukMIDXkzfONuHROoTWLls7xzX/7cDbXNl9lzB10h0naojtMt1fObMmQAAHo+HefPmBWwTiUQYPHgwfvvb38atcYmAKUonH217T5NoJS66k3D3bne6ox7L7hNtX//tHTmGpdXm4vy9PedqsTkQzT2lL79vgiASB5O1c2NPtLErUt/Ynn6us+30nYdjv+AxodXGXbeWJdL2WNrJumcXZnJbMLnGq7DnC7oe+xzY+/QAePuBG9Fqd8Lp8sDmCH/u9o6J/s+hM88/cHvoXK297QrXlvZ+qzQOEx3BZHO0S7bsTneIHHPt4zt/lH1ZuezIHDe47wnX1yW6TtUR2qVou93eB5WXl4dDhw5Bo9F0SaMSCYU08iOKtr2nUUhFEbenRNnemwl37xJhdEcOdp9o+/pv78gxLMlSASxM6O/tOVcs77Ivv2+CIBIHhaxzY0+0sStS39iefq6z7fSdh2O/4DEhWcptsWaJtD2Wdv5hb5UvAzAXXONV2PMFXY99DgqpN2nZEE0SVr1z3BfytHXeuLDnbu+Y6P8cOvP8A7eHztXa265wbWnvt0rjMNERFFIRmoIsvpG+YYmQHyLHXPv4zh9lX1YuOzLHDe57wvV1ia5TdYR2uY6z1NTU9AslGwBSk8TQa9Wc2/RaNVKTEjvelS1xwUVPlrjoDsLde+V5A+pNNujCvNcSrRqV5w2+fcO9f53ffiVaNepNdt8x4c7tfwyLXquG2e5E5XlDyPViPRf7Lvvz+yYIInFIkQojjp0pUSZU0fqy+hbuXDDt7eeSxYKI7UwWR1aOWbjay/bf7H/rTfaI1zLbua08E/I1UZ9nsljgc+cMN274jy+Rxha9Vg2n66oFyv+ZapLFKC+9Hqv9lOzg8wWfuz1jot5vLI3lO2GJ9r2kJoV/P7G0K9J3Fena7TkPQURCkyxGfYsddX7z10jfcL3JBh48Mc1h2T4kUh/T0Tmu/2/eftDmO1fwNRJdp+oIHVK0AWDv3r144okncN9996GsrCzgX18iQyHF07NGhnx8bIa8RA/aV8rFeGb2qJBBgM1M2psSY7WXcPd+8qIR1w1Ow6KJ2pDOwpt1PA/lFTUAgFMXjVg5fUTIfmwmxfKKGpRoNVg0KR/XpMpQkq9BeUUN5uvyQs+dr8HiSfm+cwNXs447nB6UV9TgZND12HMFf3/+1/d/l/35fRMEkThckyrHU2HGzqdmjYya4CpaX3bLtQPi0s9ZHAw2zAzfTosjtphBrvaWV9Rg0UQtTl80Yb4uD/84fB4rp48IO58YnCYPe0/RnmdtoyXgulxj0JlLJjw9ayQmRBinvFnHR+KhN48EXN9XMszqgNvtCcg2HHzN4HOHG8f0fuMY+/eqO0dg6fajMX8nLNG+lwyFlPP9LJ6UjxJt4DHB7Yr2XYW7dnvPQxDhYEvHXZuejDHZKqyYWoBJwwdEnG/eMEQNqZCPDTOLIs4hWVl75oOTWM+xLztPXbr9KICr/VpJ0PdeotVg0cTAOa7/dXRaNRZPzIdOq8H2w+dDrvFUL9CpOkKHso6vXbsW69atw7hx45CZmQkejxewfceOHXFrYHfQ7jraUiFSk3pXzTdWSNn6zZrk3llXuSP433tSWx1tg4WBMlIdbavTW+eTo452ilQIIZ+HmgYL+Dzg2A9G8HjAmGtSMSBFDD6fB7OtraYoW0dbIkSyOHIdbbnEW5vQYGGQKhfD4fLAwjihCKqjrZCKIBHyYbSGf5d95X1T5lSCSFyiyad/3ecWqwMpbXW0pQI+BsRY4ihSXxaPfu67+lYs/+c3eP4nY2D2a2eSWIDH/v41Nt49GkPTk2M+39U62g7IxQIIBTyIItXRlooC5hPR7omt981uT26ro93q8GDqpgrffnKxAGX6PBRnq2B3ujFEk4RMpTSgjrbZ7j2H3eWto50iFUHRVkfbwDG+sFVY5o7PxcI2Rdwf9pq3FWbgktEG7YBkOFzugLrSdocbBiuDFIkQsrY62uy1k8QCNLTaIBN763l3po55uOfHtZ2to83+BgD1JjvMjBMSIR/1LXbccu0AZEb5ZoPPnSz11tE2RRiruwoaO/sOXKXjSvI1WD+jCFaHExbGhTS5uE2Or+ooUiEfRgsDPnicdbSbzHYkSa72dV9+b0B2qgz/u+AGWBxutPr1hXwArQ4XWmzeObAkWh1tq/c6YgEfTWYGUrEA8qA62q12V1vdbwHqTXbsOHIBT0wr7HPl7zqkaGdmZuK5557Dz3/+865oU7dDHVL/hh0c2cmAmM/D0x+cwtD0FEwtysQloxU8Hg9HapsxpSgDHxyvC1vaoKRtxbqvdRQ9BckmQSQukeTTaGHw679/g+GZCp+yJxUJcKS2GWcumfD8T0YnxOJfncmG7+pbYbA6fO0rr6jx1T3uLSURjRYGi7dV4tMuLO14+pIJd/xhP7bOGxdSmscfdvveR3/UrkWKWAgerzVJ8VNe+1I5VBo7+wZsSa/0FElAH1peUYNxuakxfZPBMsMHsOKd45xzWJ1WjRvy0uBweXz9dk6aHG6PB/f8+QtffezOyENfkrNY6FDUOcMwuPnmm+PdFoLodrhWCicXpOM3tw/Hut0nQmoB3jUqC2frWzC/LdmMf0el16qxYWYRKdkEQfR7Gs0M7rkhB68dqAnpR+fr8tBoZnp8MsXV/+u0amyaU4y/flmLdTOKeryNscK6Ly/bfjRA2Y6nuzKbEZiN0Qw3Ua88b+iSWGSu9zUhX4Nn4rS4HUt5zN7yPRB9g2aLA7uPXgyQNbaPWrKtMuo3ySUzr5dezzmH1WnVuE8/BB54sLUisN8u8bvmuNzUTvUp/U3OOqRo33fffXjrrbewcuXKeLeHILoNo4UJ6YAAYHimAut2nwiZRByobsTa3SewYUYRNrx3EsU5qSjT5cHudEMpEyEnVYZsdVJ33gJBEERC4nR78NqBGs5+FADW3DmiJ5rlI1z/f6C6EXweD8//ZHSvCg8DgCyVDJvnFHdZ2BCbEbi8ogab5hQDCJ2oz9fl4a9f1sY9Fjnc+/q0qgHLth+NixWsP5dDJRIPo4XByp3HwvahZfq8iN9kOJlxeTxYsq0SZfo8lOny4HB5kJMmxzcXDPjmggGHvm8Kueb+6kaAx8MHS0qgkos6JWv9Tc46pGjbbDb8+c9/xkcffYRRo0ZBJApMCf+73/0uLo0jiK4keFWNjS+7fURGwEqePweqG3GuyYJ7x+ciXSGBlXFhUFCMHUEQRH/H7fagstaARZO0Ia7j5RU13njlHiSSVWV/VQNabU5k9EKPWzYpZlfAVmGpqG70TdQX6IdAKOBBLRf74tG7IiygO6xg/bkcKpF4GCwOlOryMGd8bkhYC1vGL9I3GU5mKs8bUJyjCpjnysUCPDBhCG4rHIgXPqriPN/+qgY43R6Ss3bSIUX76NGjGDNmDADg+PHjAduCE6MRRKLiv6qmSRbj1XnX47cfnkZhZuTZlYVxYeGbR1CSr8GWPhZLQhAEEQ9sDic2zSnmdB3fNKcYNgd3KavuIppVxWjtW1aVjhIc37lx1kisefcE9p6+4nuvbNb0nC706OoOKxhbpitcnDuV5SK6i4sGK1bsPBaQ3d/fZZyNlQ73TRotDJosVysm+CdHZFxu3DFiII5dMGL9eydhYVywMC589X0T9NrIpZtJztpPhxTtjz/+ON7tIIhuJ1ni/fzlYgHKS6/Hs3tO40B1I0rbYlfCIRHyUZKvwXNUpoMgCIKTVLkE//Ovb8O6PT49c2S3tYUrgVY0q4rN4cJFg7Vf59wIFxO9YdZIPH6HE0Zr91Vh6Q4rWHfEuRNENHwu3xFcxrfsq8Y1qTLOb5KV29KbBwPwznG5Fj1L8jV4b7EejWYGyRKvHLe25WEIB8lZ++mQok0QvZ2LBiu+OtcMnVaN4pxUtNicvk4sUqKXEq0amUppr4zfIwiC6C4Yl5uzDwW8E0bG5e6WdoRTFjfePTKsVUWnVeOzs414+ZPv+lwG3FiJFBO9YscxbJ5TjGEDu++5dJcVrKvj3AkiGpHCJFiX8RKtGkcvGJEiFQUsBvrL7ehslW+Oy5UvY39VA1bvOhHQx0mFDMlZnOmQoj1x4sSILuL79u3rcIMIoqsxWhh88u0VXKOUYd2MItQZbTD4uQlGSvTy0KR8pMkpHpsgCCISrfbIlhFzlO0snSnnFElZXLPrBJ6eNRLLdxwLyTo+X5fnc89MtAy4XVneiqXOZEOTObEyA3enFawr49wJIhLBLt/hmNfWRwWX+DJYHJivy8P9JUOQliTG9JGZcLk9YfMOBcsyyVn86ZCizcZnszgcDnz99dc4fvw45s2bF492EUSXYLQwuNxiw4gsBUQCPuqMNihlIiRLhZCLBb5YFf+MjHanG3maJMhFgk5nWyQIgugPxMPVt7PlnCJZhv59qh7LpxZg5fRCnG+ywO50QyLko/K8ISAGMpEy4MarvFUkZb220YzlO47hFzcNDpvIzsK4euS59CcrGNH/CHb5DodSJsIvyr+EhXEFKMo/NFvwg8EKm8MFqUiAj07VIUspxYgsJV6aOzZEhlmCZZnkLL50SNH+/e9/z/n7mjVr0Nra2qkGEURXcdFgxaqdx3HP+JwQN5oSrRpb543Dgje+8inb7AogJT0jCIJoH5119Y1HOadoCbRMVu8kcsEbX4XdJ1Ey4MarvFUkZV3I52H5jmOorDVg9fQk/OXz7zkT2S3ZVtljz6W/WMGI/gWXy3e4OvX/+fZKgKJstjtwocmCpf88GjSv1WD8xKH4yZ8+9+3PlVCNS5ZJzuIHP54n+9nPfoby8vJ4npIg4kKdyYal//gGw7MU3LEq1Y146ePvsGJaQcDveq0aG2YWUYdDEATRDlgXxAn5gVlsY3VBjKWcUzRisaqzCwJcJFIG3Hg8j2jKutnuzVVSps/Dut0nOBPZvXagBiunFybMcyGI3o7RwuCS0YY5N+SgvPR6iAQ8LNDnQadVB+zHhrWUV9QE/K6UibE8SMkGgP3VDdjycTXK9FcT/LIyzP6WSH1cXyWuydA+//xzSKUUu0okBqx7nNHKQCYWYn9bRvFwsSr7qxvwq8n52DpvHOxON5QyEVKkQrRYGQBdV7aEIAiiL8IDMGVkJubdPNjnml3fYo/p2HiUc4rFqt5bMuCabI6AEj3B7tyxPI9oyrrN6cZfym7AgBRJ2HHyQHUjVk0v7Jbn0h3x6ATRk3B5mOi0aowapML1g9N84YvZaTJ8eKIuwBItFwuwcnohrA5XSIZyFjZ5GtdvXH0cyVz86ZCifffddwf87fF4cOnSJXz11VdYuXJlXBrG8sMPP2Dp0qX44IMPYLFYoNVq8dprr2HcuHG+a69evRqvvPIKDAYDdDod/vjHPyI/Pz+u7SB6F2zndfhcMzbNKQbP4p2E2J2RM9063R7fhPDzs40or6jBu4v03dFkgiCIPoPRwuBxDusp4FVio7k6xyPGO1YlujfEJCplooh1yRWy6M8j2uJFTYMZC988gpfmjo24n5Xp+hro8YpHJ4hEJZyHCWuZLs5J9YW1fPhwCY6eNwQo2eWl1+PFfdVQRpF9rnmvQioK6YNJ5rqGDinaSqUy4G8+n49hw4Zh3bp1uO222+LSMABobm6GTqfDxIkT8cEHH2DAgAGoqqpCamqqb5/nnnsOmzZtwhtvvIG8vDysXLkSt99+O06ePEnW9X4GuxLnhgdf1TSh9ObBuL9kCIQCHpIl3mRnEmHkaAmz3YmFbx7x/U1uNQRBEO0nFlfnSIpse2K8I1lhYlWiEz0mMUki5Ax7OlDdCB6A3/7XmKjniLZ4wY6P/uMklxU9tR3PqSMWsnjFoxNEIhNLGS/A298NVEgD+rFUuRgrdh7H/uoGlOoGR7wOlzynSIU422CGQsZAk+SVpfbKHFm/Y6NDivZrr70W73Zw8uyzzyI7Ozvgenl5V10gPB4PXnjhBaxYsQIzZswAAPzlL39BRkYGdu7ciXvuuadb2kn0PP4W7J0Lddh97FJgUoh8DXYu1MHMOPH0rCJseO9UQDIJwBuPXXne4Ps70VwHiciYTCaYzeZ2HZOUlASFQtFFLSKI/ktnXZ1jtUbHYoVJdCU6FlptzrB1ySuqG9FqcyIjSlcWafFC5zf+VZ43eP+uNXBa0WO1cnXUQtbZRRqCSESCFVOXx+OrdsOF3ekOyRPE/ve7+lbsr/bKCCuv4ZKnsXItFwvCyvO6GUU4fK6Zsx1cMkfW79jheTweT0cPPnz4ME6dOgUAGDFiBIqLi+PWMAAoLCzE7bffjgsXLuCTTz7BoEGDsHDhQtx///0AgLNnz2Lo0KGorKwMKDn2ox/9CGPGjMEf/vAHzvPa7XbY7VfjxEwmE7Kzs2E0GmnS3QsxWhgs2laJ/VUNWDRJi29qmznjVXRaNYpzUvFNrQELJw71ZRgHvEr2qjtHwOV2w+5wJ6TrYH+go7JpMpmQOzgPhuamdl1PlZqGc9/XkNwTRAy0Rz7PXmnF2QZziBWWTegzRJOEIQOSo16TnZxyWaP9+/5gYnFP701U1jZj1kufhd2+c+HNGJOTGnY7y0WDNWTxIrh2ODshrzfZ8F7QojVLtOfbmXcTr3vtT9C8NrHhUkxL8jWYd/PggLhrf95drMOHJ+pw5pIJz/9kdIC8+MuIvwIdnHV84UQtFrxxCBbGhUWTtKisbeaU55J8DUZnq8LmZvCXuf7U78aDDlm06+vrcc899+A///kPVCoVAMBgMGDixIl4++23MWDAgLg07uzZs/jjH/+IRx99FE888QQOHTqEJUuWQCwWY968ebh8+TIAICMjI+C4jIwM3zYuNm7ciLVr18aljUTP47/6XRyho2BdcbbsqwZ4wK5FOlw02uB0eXCkthkXm60YqJTSAN6DdFQ2zWYzDM1NuG3F65Aq0mI6xmZqwr82lMJsNtNEhCBioD3yGQ9XZyCyNbo/WT7jEbMOXHWlv2S04WyDmTPJkoVxYcm2Svyl7AY8seM453miPd/OvJt43Wt/gua1iUu4UIj9VQ3weDwo04cm6S3RauB0eTC2bT7aaA6UF38ZYeW1TJ8XkDxt76l6fPl9IzbPKUaSRAiFTBQ+GXBVQ8T63f4y15/63XjQIUV78eLFaGlpwYkTJ1BQ4C2HdPLkScybNw9LlizBtm3b4tI4t9uNcePG4emnnwYAFBcX4/jx43j55Zcxb968Dp93+fLlePTRR31/syt/RO/CaGHQaGbgcLnx3hI9zPboCVrYpBD7qxpwrtESUD9167xxSE2izqEn6axsShVpkCm5S/UQBNE52iOf8XB1jkY8MpP3FjTJYvy4IB3DMhUhrvhnLpnalUtEKRfjbIMZj/39G2yeU4ybhqhRmKkIcO23MC4YrR1/vp15N52twd4foXltYsKW7gqnmFZUN2LhLdoABVivVWOebjDmvnoQFsYFnVaNWcWDAs7p9njw5n3joZSJ4HC5YbI6cehcExZvq0RxjgrFOam+c+q0akwbmYlrUuUduodgmetP/W486JCivWfPHnz00Uc+JRvwunm/+OKLcU2GlpmZicLCwoDfCgoKsH37dgDAwIEDAQB1dXXIzMz07VNXVxfgSh6MRCKBRCKJWzuJ7ueiwYpV7xzHPTfkBFhNts4bF/E4/6QQjCswE+M1qTJkKCiBXk9CskkQiUt75NNojVzXOZoSFwv9yfKplIuxcnohlu84FjIpf3rWyHZbkNgs5uUcrv2b5hTjrYPnkK6I/K4jPd/OvJveUnItkaCxM/Fg3cXn3JATcT+JkI89D5egvsUOAY+Hz882BniYHKhuxJpdJ7BlTjHMjIuzHNh8XR5OXjRi67xxsDnceOitI75tiyflw8q44HRHjhS+JlUWssDFJXP9qd+NBx1StN1uN0Si0AcpEongdkcun9QedDodzpw5E/Dbt99+i9zcXADexGgDBw7E3r17fYq1yWTCwYMH8d///d9xaweRWLBuOKOzVSGuibEmhQCAAclXB6WStqyOBEEQROdJkkSeXiRJBJ2+Rm+zfHYmS6/RwuDJHcdDxraK6kas2Hm83XGRkVz7+Twe1t01Ama7CyVaNWfOk5Ioz7ez76Y3lFwjiHD4u4tHcskGAIGAj1S5GE2tDO599SDnPvurGmCwOLDineMRy4G99J/vsPauEXh9/vWQigQQ8nlIEgswZVMFyvR5YefHXJnNw8lcb+t3e5rItY7CMGnSJPzqV7/CxYsXfb/98MMPeOSRR3DrrbfGrXGPPPIIvvjiCzz99NOorq7GW2+9hT//+c946KGHAAA8Hg8PP/wwNmzYgF27duHYsWP4xS9+gaysLMycOTNu7SASCzY+pDhbFdBhyMUCiAQ8rJ4+AiVadcAx7IpfeUWN729xm3V7Qr4Gz9EqOUEQRNwQCfjQBfXDLDqtGiJBh6YfAbCWzwn5geEiiWj5vGiwYtG2Stz6u08w66XPcOtvP8HibZW4aLDGdPxlk82XZTgYNi6yPURy7d9f1QCn24M/7P0W83R5Ie9Rr1VjY5AV3Whh8F19Kyprm/HdlVYAwLOdfDdKuRhD05MxJicVQ9OTE+p9EkQk/OOYWQMQFzqtGnyeVx7F0crPMs6I5cCKs1XYX9WAmgYz/rC3ChbGhTS5GCq5GONyU1FeUYP5HPLsL5PBMgcgQK6NFqZX9buJQIcs2lu2bMFdd92FwYMH+2JAzp8/j6KiIvzf//1f3Bp3/fXXY8eOHVi+fDnWrVuHvLw8vPDCC5g7d65vn8cffxxmsxkPPPAADAYD9Ho99uzZQzW0+zBsfAgbbw0EZl380ydnUabPw3z9ECSJBXC5PfjMzxWHVboZpwt7H/0RrZITBEHEmcZWO+a31YHlyjreZLbHlHU8Gr3B8tnZutBGC4MLzZEV8vbGRUaLszTbnVg7owir3zmO4pxUX5IllUyEXLUcg/ziPS80WbD8n0cDLN9sqZ9EfzcE0RX4y1d5RQ02zfFWZeLqCy8ZbchIkUStT28OUwaMhZ0T251uHKhuhIDH8/UtbCiGf9I0wOsuPlAh5ayR3WxxYOXOY5xy3Rv63UShQ4p2dnY2jhw5go8++ginT58G4I2dnjx5clwbBwDTp0/H9OnTw27n8XhYt24d1q1bF/drE4mJXOx1OfSPty7T5wW4wbExbHKxACumFeCWawegMFMBiZCPyvMGLNlWiXcX6X0rdgRBEET8SJaKMO+1QwGZcP373+3/fXPcrpXodbI7m6U3Fmt1e+MiY4mzzFLJ8PxPRkecTP/QbMHSfx4NsY77LyLQOEv0N2LJCs5m+988p9gnW5FcslWyyDLLzonZ//r3Le1RjC8arPjk2yvYffRiRLlO9H43UeiQog14Fdwf//jH+PGPfxzP9hBERIwWBkdqDb54azZ+LFxZLwvjwhM7jmPrvHFY+OYR3+8UR0IQBNF1KKRCjM3h7pf1WjUU0g5PP3odnc3Sa7I5IuYfiRYvzUWscZaRJtNGC4NzjZawLuhU6oforyRLhdBr1ahokw0L4wrIAs5mBddp1ahvsUPbthgVKQmgXCwIK7PsnDg4F5F/3xKLYsx635TePJjkOk50eKQ7dOgQPv74Y9TX14ckQPvd737X6YYRBIt/AhmZWID1u0/ixXvH4kqLDXcXD8LKd44HuJFz4b+9hOJICIIguhSH0431M4uwcudx32QT8CrZ62eOhCNKn93ddCZRWTQ6m6VXIRVFdD9dP6OIs62R7ilSZu91M4rwfaMZyWYm4nNoaGVg6EQJMILoq5jtTpTq8uABt7v4su1H8fSsIoy+RoUWuxNnr5hx2WTDxGsHBFiekyRCiAV81LfYkCIV4elZI7F8xzHOrONvHTyH+bo8LNlW6dsmFQlQWdscc5/Get9Ey5ROch07HVK0n376aaxYsQLDhg1DRkYGeDyeb5v//xNEZ2HLI7CdyktzxwIAPPBg1zcXoZSLUZyTiuw0WcTzDNYk4e+/vAkqmQjpKRJSsgmCILqQJguDX739NV6cOxZPCPhosTqQIhPB6XLjF1sP4g/3FGNwTzeyjeBxBgiMRewsnc3Sq0n2JjMKdj+VCPmob7EjVR6qqMdyT8HupDKxAEdqDZi6ab+vtFCk52CyOQJCuLigUj9Ef8RodQTIK+NyIz1FgmSJEC02B/724E1Y/c5xPLHjuO8YnVaNPE0SCgamYGh6MqcM/7ggHRtnjcSFZisYtxvqJDFcbg+aWhkUZikDyoLptWrsPnbJZ0mPpU9jvW9IruNHhxTtP/zhDygvL0dpaWmcm0MQVzFaGDz13kmU3jwYj98xDK02F1RyETbPKcb/fXEOFdWNmK/LC3DH4XJ10WvVSBELUJip6O5bIAiC6JfIxUI0mhn862QdirNVsDvdMDMuHKltRqOZ8eXa6Gk6m6gsFpRyMZ6dPQr/+fYK0lMksDvdkIoEqGuzYEU7v7/12d8VP1yW31juCUCAtTtTJcOTO47ho1P1YY8Jvo5CKsLe0/VxdWkniL6AQioKcBdnkYsF2DynGIzTgznjczFfPwRHaptRXuHNMcQHD0/PKgIAThn+96l62J1ubLx7JNbsOoGia5SYMiITWyvOBiQt02vVKA2ybsfSp7HeN5FCVSj0sn10SNHm8/nQ6XTxbgtBBGC0OvDr24Zh9TvHAzqQknwN5t08GF+cbfJ1BuHc6kryNdgwswjZ6qRubz9BEER/RSDg4fX512Pz3qqAyWaJVoPX518PoSAxvN86m6gsVjwA3j96KaBE14R8DX507YCYjm9PMqNI9/TVuWZvNuF3juPwuWaU6fNQnK0CADw83vNEHAABAABJREFU+VoUDVLiz5+e9VnFgPDPQZMsxplLJs7s8sElwLrSNZ8gEgGjhYHB4oCZccLMuPDOQzp8fKYef/70LADgwR8NwZQRmVi/+0TAnFanVWPTnGIs2VaJ/dUNON9sRZYHOHyumfM6n1Y1wO50Y82dI/Bp1RVcNFjx6G3D8PgUPsw2BzIUUjRZGNS32LHl3rE+Rd7CuKL2aaz3Tbg5NZXwaj8dUrQfeeQRvPjii3jhhRfi3ByC8HLRYMWB6gbsPnYpZEVtf1UD3B4PyvR5fp1BTUjZgnSFBHtP1cPl9vTAHRAEQfRfJAI+Nu+tCphQAvAqmjzgqZlFPdSyQDqbqCwWfBbm6s5ZzWPN8hvpnsr0eVi58xgO1xp8JTEDF0KuTvr9lW2u56CUi2MqAdbVrvkE0dNcMlhxrsmCzfuqAo09Wg3+OHcsXB4PLhttWLv7RMiclv27TO/10DRYHfjjJ9/5/ubC7fHgvMEaMEeWiwXYOm8cVgUZp3RBMh2pT+tIKTAiMh1StB977DFMmzYNQ4cORWFhIUSiQF/9f/7zn3FpHNE/iSXr4YHqRpTp8jjLJmSpZHjv2CWUV9RgXG4q5t88uHtvgCAIop9jdbhClGyW/VUNsDoi14TtLpIlkadBSVG2x0J3Wc1ZIiVfYyt0LJqkDSiJybK/uhFuIGSSHy4mM1oJsO5wzSeInsRoYfCfMOWw9lc3YOqoTLx/9CJKdXlR57SANz56f1UDSiPMXQU8XohSX6bPw5aPq6Mq8tHiq6lGdnzp0AiyZMkSfPzxx5g4cSLUajUlQCPihtHC4JLRFlPWQzaTeHDZhDV3jcCWfdXk4kIQBNFDmKzOTm3vLsQCfthYRJ1WDbHAmxSoM67P3WE19ydZKsRb942HweqAVCQIcB1lCVcSEwic9APRYzIjWdq7e5GBILqbhlYG6SmSsEp0eooEh2sNuH9C5ARjdqcbJVoN0pLEKC+9HppkMeRiQYDcAl55tDpcIdeLRaZjja+mGtnxo0OK9htvvIHt27dj2rRp8W4P0Y9h3ctYBTta1kOlLHBVji1xYLI4sPfRH9EKHBETdXV17do/KSkJCgUl1iOISMglkZOdRdveXRisDGeMMTuetNgYXDTwO+X63NnyXu2By02bdR3965e1uCbV295YS2J2dsG6uxcZCKK7MVqZiPLkdHuwaU4xBPzIRkmlTIR5usGY++pBWBgXSvI1KC+9HmWvHwqoAvDs7FG4YLCGHB9NpgGQ8akH6JCinZaWhqFDh8a7LUQ/xt+9jHWXYROdVdYafAlbfNlajVYoZUJsnTfOV+ak8rwBS7ZV4p2HdBiantyzN0QkPA6bBeDxUVxc3K7jVKlpOPd9DSnbBBEBmUiAScMHoDBLGdB3H6ltxsmLRshEiaFoJ0tEmPPKwZCyWex48sGSkk67Pne2vFeshHPTPlDdCD6Ph+d/MhpSIR8T8jVRF7IHq+VxWbDuzkUGgugOgr1bUuXiiB46mUopnt1zGsU5qeEz9Gs1sDlcAbkR9lc1gAfggyUlaLYwAS7crfbQ60WT6Zw0OTIpJ0K30yFFe82aNVi9ejVee+01yOXyeLeJ6MXE4l7nv49SJkKSRIhmM4M5N+Rgvi4PPHhQ0pZJ/MV7x0Iq4mPLx9UhmWuvG5yGxUEJW0ryNUhPkXTb/RK9FxdjAzxuTFz6ClLUGTEdYzM14V8bSmE2m0nRJogICHjAE1MLsHrXiYC+W69VY81dRRDGGHHW1dmq2RrVXC6XE/I1YFzuTrs++ycY+jTIKt5ZC5P/85GJBRidrcLhc80h7qb7qxrQanMiIz0Zz8wehQPVDSjRqjnj6CfkazBIJYvLc+6KRQbKYE70FFweIyX5GiyfMhyThg/AvtNXQo5xe7yLXZVtCQiB0Oo4q6YX4pLB5kvyy8rvp1UNcLo9GJOTGnDO9BQJSvI1Ae2IVpKL5sY9Q4cU7U2bNuG7775DRkYGBg8eHJIM7ciRI3FpHNG7iCWzqP8+crHAl/XUP2via6Xj8NBELTZ/XI1vLhjw1fdNnAkm1r97MiBhS0m+Bs+RWwzRTqQpaZApNT3dDILoU/B4PKzddTyk766obsTad0/ElHW8O7JVR1OCL5tsEY+P1fW5KxIMRXITD84a7t/WLJUMNw9RIztVBjdCJ/3xdC+N9yIDZTAneopwHiP7qxoAz2k8MXU47E53SNZxp+tqPqFl24+ivPR6tNqd4PN4cLk9+PxsI2a8eAAWxsUpv1x9jIVx4aGJWrg9Ht/1yitqUF56PfjgBVQ4iLdME+2jQ4r2zJkz49wMorcTS2ZRAAFK9uY5xXg9KOtpmT4Pm/ZV+9zFby1IxwsfVXFec391A56YVoAJWg1UcjEyFBLqSAiCIBIAm8MdMeu4zRE5nrA7s1VHUoKDldVg2uP6HM8EQ5HcxIHQrOHA1bYaLQyW7Tjmq6Pt7zJf32KHXCyIq9U4XosMlMGc6EkiJfbbX90Ai8OFpXcMB58HCPh8uD0eGC0OJEuFWDRJi/KKGtxzQ47PjbyytjlqhnAgtI8xWhg8vv0op/zWNppRph+MUt1g329NZgYCPg/f1beSF0gP0CFFe/Xq1fFuB9HLiSWzKI8HjM5WYYEuD5kqKRpbGd9ETC4WoEyfhztGDPR1Llv2VaMwM7J77kWDFYWZCoo7IQiCSCCiJcGKtr27s1WHU4IjuT7rtWpIRZHjIuMNqwDbna6wz8c/a3h2qgwvzh0LkYCPhlY7HC43ksQCfN9gDqjY4c/YHBU2vHcqrlbjeCwyUAZzoieJ1mcZLA4s3lYZ4qkJePuKTXOKwefxsGVfNcp04WtkH6huxAMThmDXIl2A3CpkImSpZAFywHWOdxfrcL7JCqlIgGM/GDBykBK//tvXAQuf5AXSfXS+QCRBIHoHZLQ6IJcIcNMQNdKSxDhyrhkDFFIsmqTF2JxUyEUCuOGBw+UOKGdAyR0IgiB6H9HqU0fbHs9s1Z2xzirlYjw9aySW/fMoKoKykpfq8rBm1wk8/5PR3aLgXTJY8Z9vryA9RQK5OPLzszvdyE6V4S8LbsCKncdDJv1/WXADHvzLYdxWNDAkWd0lgy1hrMb+704i5Pssg1yeBpTBnOhKoiX2S1dI8LcHb8SzH5zmDJkBgAcmeBNJR8sQniQW4tk9p0Pk9qlZI2FzBH7nrKGKlWN4gJOXTCivqMGKaQV4raImxLuIvEC6jw4p2i6XC7///e/xt7/9DbW1tWAYJmB7U1NTXBpH9B6idUA2hwt3//Ez39+Thg/AyumFeO1ATUiSM//4FEruQBAE0fuQCCPXp462iBqvbNXxiOllXG6MyUnFfI6s5BbG1S2WVKOFwbkmC3YfvYgD1Y3YOm9cxP2HaJLw5n3jsXzHMc5J/4bdJ/Hyz6/DyneOB4zBOq0ad43K4qzf291W4/bGoFMGc6IrieTdotOqceyCEeNy03C41sB5fEV1I56YVggguhEpONabPf7JHcewcdZI32/+uY6C5XjTnGIIebywITzkBdI9dEjRXrt2LV599VX8+te/xooVK/Dkk0/i+++/x86dO7Fq1ap4t5HoBURzr/vy+yYsmqT1rbhlp8qxamdoopz91Q3wwOOLTymvqOHM0hiPbK0EQRBE12CMUp/aaI1sfYxHtup4xfQarY6wbp5A7JbUzljWDRYHNu+r8j3LaIvQqUliNJkZzB2fiwX6IThS2xxgCS7IUmL1O6Fj8IHqRqzffRJvP3AjLjRbfVZu9tjushq3NwY9nmXSCIILNrEf1+LPfF0elmyrxHU5qb7M4cFlaY/UNsPhdHvL1kaQ35J8DVKkQrw0d2yI/FVUN6KVceHW4QOw9/QVlOnzQtzUgaty8thtwyLeE3mBdD0dUrTffPNNvPLKK5g2bRrWrFmDOXPmYOjQoRg1ahS++OILLFmyJN7tJBKccJlFS7Qa3FeSh7QkCUw2B4xWB5LEQoiFPJTq8jBnfC5nR/Lft2ixZV81LIy3ruCKaQVYNmU4bIwbaUniTmdrJQiCILqOFKkYi7d9jRfnjoVQwEeL1atcOlxuPPTmEbw+/4aIx8cjW3W8YnrjYV3vrGXdzDgDJtORFqE3zCzCkzuO4aNT9b7fgy3BxdmqsIsH+6sbUNoyGAvfPBJybHdZjSO9O/8YdIAW3on4wy6KWRgHVDIxzIwLJpsTSpkQT88swtkGC8yMM8S7ZX91Axbo8zBmjorTyjxjdBYW6PPwf1+c41yILNFq8NAtWtzz5y98i2LBsmuyOvD4HQXwABHl+EB1I5ZNiVxHkbxAup4OKdqXL1/GyJFe14Xk5GQYjUYAwPTp07Fy5cr4tY7oVbCZRetb7KhtsgDwWiXA4+GZPadwoLrR5+ayYffJAHeW4I7E5fHgzfvGw+XxIFUuwocn6rDvVD1WTi9Eriapp26RIAiCiAFNshivzb8Bq3eFxge/Nv+GmKyPnc1WHa84785a1+NhWTcHuUmzi9Bs1uEUqRDqJAmSpcIQJRsItQRHixH1384eu3J6YbdZjaO9O6VMhJ0Lb45LmTSC8IddFDt1yYQ377sRy4LCL/RaNVZOH4G5r36BhlYm5Pi0ZHFIfDXglaN1757AuLw0jLpGhew0GZbeMRw8HtBscSBJLMCZyy0oe+NQQFhEsOymyERYt/sEynR5SIqSq6HZ4ojo+UJeIF1PhxTta665BpcuXUJOTg6GDh2Kf/3rXxg7diwOHToEiYRiZvszSrkYjWYGlecNbS4zHrjcLhTnpOLM5RY8O3sUpCIB5ozPxXz9EBz7wQCPBxg5SAkA+N8F4/HxmXp43MDc1w7izfvG48MTdfi6thlPTC2ASk6rbwRBEIlOi92Jp98/ieKcVF/5GdZ7aeP7J7F2RhGUcnFUd+rOZKtOlghDEgX5e1Al+SVkqzPZ0GxmYLI5oZAJkSoXI0Mh9bWhM9b1zlrWjRYGKRJuV9K3v6xFcbYKKVIRGs0MHG435tyQg5+Nz4XF4QrY398SrJRFHkuDY0gPVDdi1fTCblNoo3kRpMrFGJqe3C1tIfoP/oti5aXjsG73Cc5Y6fW7T+DZ2aOw4I2vfL+zfY1IwMeDE4Zi+ZQCOFxumKxOHDrXhPK2pGTz20I5GlsY3PeXr3z9k4PPx0ClDA9MGAIeDyjKUgb0WeNyUqHXquF0uX2ybGacEe/H4/Fg8aR8CHi8uNSxJ9pPhxTtWbNmYe/evRg/fjwWL16Mn/3sZ9i6dStqa2vxyCOPxLuNRC/DA6CytjnAnWVa0UD8/Zc3YdXO4wElvbbOG4eXPq4OqJWt16pxd/EgaJLFEAv50A1VY9rITKTJRNQpEARB9AJa7U7cOz6X031yvi4PrXZnXBKVAeFjnyUCPrbOG4ctH1eHtGHrvHGQCLzKZG2jGU/uOBbgZVXSluE3R+31oEoSC7B+RhHMjBMWxgWlTIT0FElMY1KslnWu+7AwLjweJiHYcx+cxss/vw6r3zke0HZ9W0b0x/7+DSyMy7f/su1HkZYkxpv3jUe6Qoy3H7gRSRIBWm0upEiFqDPZsHT7UQwbmILK84aQdlqj1BSPJ/GI0SeI9sIuisnFAgxUyjgtwYBX2V46Zbjvb9Zb8/Uw/d3pSybsXqzH2QYzBiokuLt4EOpMVmy5txjlFaFJgRdOHIoFb3wV4D5+16gsPDVrJO5vU+7tTjdOXjJhSlEG/t912UhXSAJkefvh88hNS4JcyI9LHXuiY3RI0X7mmWd8///Tn/4Uubm5+Oyzz5Cfn48777wzbo0jeh9GC4M1QQlW5GIBHrxlaEiJkTJ9HrZ8XM25WrjqneN4dvYor0VCJIBKTko2QRBEr8GDiEl6Vk4rjEuiskjKut3lxkscY8yB6kbwwcOqOwtRZ7KFKNkAsL+6EU/uOI7n/2s0XG5P2Gso5dEfRTTrrEImCnsfCydqcfhcc0j7JUI+/vTz67CCI6FZRXUjPLjqaspuLy+9Hv+z5zROXW7BW/ffGJBcDfAq6G8/cCMuNtvwyzcPh7SzO+M54xGjTxDthV0UK9PnwWSJvEBmtl9deIqWlKw4JxWr3jmOx+8Yjv/38ue4LicVT83y5lKoCOl7GuD2SwrMnmf9eydx56hM3FY0EN/uq4ZKJsI7lT/gfxeMx5M7Q93b188swh8+OoNlUwvjUsee6BhxqaN944034sYbbwz5fdq0aXj11VeRmZkZj8sQvYCGVibAYv3gj4Zg6shMMA53SPbTSEkcKqobsXxKAdKSrrrvEQRBEL0DDxDWGnSgTRHsbKKyaLHPT0wtCFvaZn91A1xuD5otTMR9mi0Mfmi2Yr4uD6OzVT6X7fYsCESzziZJhHjs799w3ofLc3XC7e8GLxHyYeMoAcTiTYQ0HIWZCp/rqdnuxP7qRpSXjsPad7ldYtfsOoEyfV5I6awJ+RoI+TxU1ja3O2M6S3uzrnc2Rp8g2gu7KFacrUKSVBBx3xSpEFvnjfNW0kmT+eazXOEqmmQxyitq0GJzokyfh3cqf4CZcYXte7zyWwAAvj5nf1UDSm8eDHWyBCX5GmjTk/HWfeNDYsgBryyv3Hkc83V5aDIzkAr5JDc9RFwU7XB8+umnsFqtXXkJIoGoM9nQZPYmhtAki/H6/OshEQqwbtcJzsRnjCtyMhYz48QIhbJL20wQBEHEH7M9cuxgtO2xJCqLFvu8JMo1LIwLLrcn4j4mq9MXhxmctDN4QSCcIhnNOttqc0bNsC0XC3xupmzG8YuGyPOr803WgMzhd47KxG9uvxaZUVxil7dN8FlK2izrUzbt9yng7XXx72iYAFniiO5EIuLjzfvGg8/jQSwQoESr5lSG9Vo1LhttWNyWkDCt7Rv1r2vtX+LrSosdf3vwJvB4QMmQNMweOwhnr5gjtuV8kwWVtc0BfY7d6YZEyMfGWSPhcLrRYndFdW+vaTBj4/un2h2SQ8SHLlW0if4DG+NW2jYheHXe9Th6wYj3jl0K60rzyORrI54zmrsdQRAEkZjIxZGtQdG2x+KmHC32Odo1lDIRbM7IccdJfufgquHMLghEUyQjWWcrawNdw4OxO914YMIQvFZRg4rqRiyapMVrB2oCSlxx4Z/Q7EB1Iza8dwpTiwaipiHyBN/MOPF66fVIkgihkovw1blmlL0emAm5PRb9eNUzJ4iu5EKTBcv+edTnyi0XC1A+73oAPOyvvvrt6rVqbJg1Ei/8+4xPqS7OVgG46kJeWWvwbQuIv24rv7f23ROYOz43YnskQn5InyMR8qFOloDPA841WcBD5PJdrTYXJEI+yVoPQoo20WnqTDYsb3NdGZ2TipXTCvHbD0+jVJcX0a1t6R38sGUH9Fo1UpOoMyAIov2YTCaYzZGViWCSkpKgUCi6qEX9jxSJEHqtOiT+EPD27ykSIX5ckI5hmYqQjOBnLpliSnYVbTE2SSyMmlCr2cKEHYd0WjWEgsCJbHAN5xSpKGZFMpx1Ntp9SIR86LUaX9JQNuyqOCc1YtuDE5qxrqfRSBIL8V19K/RaDRiXB8v/eYxzv3Au/sGWfbfbE5d65gTRVRgtDJb7KdmA1+Ol7I1DWDmtAMunFqCl7XuWifiwOZx4cIIWT79/EgeqG32yyMomuxgWLJv7qxqwYudxjM5WofK8ISb5ZfscnVaNOpMNlecNmDVmELZ8XI1lfgnZuFBIhTjwnVf2SNZ6BlK0iU7TbGZ8NbJFAh6Kc1VYvuMY5kRZrbtktGHRRC34PF7AIKzXqvH0rJEUm00QRLsxmUzIHZwHQ3NTu45Tpabh3Pc1pGzHCbPDhVJdXkistq4tI7bZ4cLK6YVYvuNYgMWH7f9jmQxGi31WyUUxJdRaPCkf4Gjn4on5+OhUXUjMZXqKBIsmaX0LAp0t3xXpPkryNahvsQeUImNrXLMu5Fxtn6/Lw5JtlSHnYzMVR1rkvmyyoTgnFUYrA0fkCC80mhngSis0bQvjl002XGi2gsfj+fKxbG5rY7hSa2Z7bPXMw9He2G+CCMY/v5A/FsaF5TuO493FOvzp0+98lRQOVDdi67xxvmP8ZRFAxBxE7ILX4m2V7ZLftXeNAHjAhSYrGs0MFuiHAB5EXNAUi/gor6jx/RZLSA4RX0jRJjqNyeYMiEsZPtA7UQ2uwxnMNSoZPPDgxiFpKL15MBRSEVKkQqRSAjSCIDqI2WyGobkJt614HVJFWkzH2ExN+NeGUpjNZlK044TJ6sCStvhFto62RMhH5XkDlmyrxOvzr8dT753iTOKzYufxmFwcY8lMrZQjYkItpVyM3DQ5po/KCmhnvckOh8uN1w58z+kC6r8gcDaKK3a0yW20+5CLBbhktPl+Z8dWC+MKecbZaXJ8eOKyL6YzGImQH1ZB12vVWHXnCNz7yhfYMHMk8tOTES2is8XmQOlrX6K89Hq8uK86wMWWjWkX8HgBc4Tg8kf/b+w1Ua4SnniViCP6L0YLgyYLE3GfepMdhVnKACs1u+AFXJXFv5TdELKNC7vTHSC/y6YMx/kma0Af6S+/KrkI55useLXirO/6crEAb8wfhzV3jcCaXScClG29Vo11M4owr/zLgPPIooTTEPGHFG2i0yhkwoDSBmzsdSS3mBKtBpdN3kQSFsaFknwNnv/JaFKwCYKIC1JFGmRKTU83o9+SIhXBwrjCWnVSpKK4uBPHkpm6Ywm1PHC6PfjZjbmcLqD+CwLJkshTqaQo26Pdh9HCoLK22Tee+o+twc/46VlF+Ka2mVPJZt1RuRT0wZokXDJYce8rX6ChlYFCKvS574eztrPnK9PnhZQKA/xi2nV5WDGtIGz5o1XvxLawEgzFfhOdhV2oiSWkIthKHWxMsjAu/OfbK9Bp1VENTUqZyHcMe87K2uawbuQGiwPlQfJTps/DC3urceZyC56dPQpLpwxHq82FZKkAZrsLe05cwvlma8B5jtQaMFAhJbnoRrpU0X7iiSeQlhabRYHonRgtDCQCPm4aovZ1FmKhN/Y63Kp5iVaNebrBV5VsrQZPzSwiJZsgCKKPIBXyI7o0SqNMRNvj4tiZzNRGC4PHOZQ1wNvOhydf64uNDoZdEBALwucb0WnVEAsi3ytLuPuob7Fj/XunfONpJJfxTKUM8/Vel/2KoHF34cR8LHjjEIDACX6JVoPROVeVCL1WjVy13NcWLmu7TqvGffoh+OaCAbcWpIddUDlQ3YgF+iEYeY0ST+w4zrlPR2NHO+uyT/RvjBYGS/9xFPurGzA6WxXRMFR53oDCzEBvJy5jEiub9SZbxPCM7FRZQP9YXlGDrfPGhYRS6rRqLNDnQSUThZzLX/FnKyP4s3XeuIDzsO7oNwxOI7noRjqsaP/v//4vXn75ZdTU1ODzzz9Hbm4uXnjhBeTl5WHGjBkAgOXLl8etoQDwzDPPYPny5fjVr36FF154AQBgs9nw61//Gm+//Tbsdjtuv/12vPTSS8jIyIjrtQluDBYHLjZboU6R+OoJ8ng8LL1jOF746NuAVXMAGKSSQSbmo8XmRHnp9d76gkliXJMm7+E7IQiCIOIF43Zj5fQRWL871KVx1Z0jwLgju1bGknU8HjS0Mjh8rhmLJmlDYofLK2rgiVz9Cy02B3g8YH7bGMcVa2m0MgCSQo5lY4tb7Q6o5GIwTjda7c6AOOOLBitqmywhVmin24OldwwH43TD7fFAIRVBJOCjodUOZVtsusnqwPeNFlyTKsO+0/WwOVwozlGFtHHF9ALMeukzAN6Y8KdmjcSg1Ktjsr+1vdHstbifqTMhLUmMw9834dqMlIjPyOZw4UJz5FJksSysBMdiuzweyMUCTut9rOck+i+XTTZfqEOkcIqVdxZi5osHfLkGWLiOsTAuvHXwHB67bRhuHKLGqndOhGQsX33XCHx8uh5PTC2E2e5EkkQAqUgADzy45doB+OWPhkLI56HV7sSxH4zggYdmS+i3HM09PUkixEtzx4a4o5NcdC8dUrT/+Mc/YtWqVXj44Yfx1FNPweXydnIqlQovvPCCT9GOJ4cOHcKf/vQnjBo1KuD3Rx55BO+99x7+/ve/Q6lUYtGiRbj77rtx4MCBuLeBCOR8oxlrd5/AimmFWP3O8ZBa2b+5fTh+cSMDi8P7fVSeN2Dxtkps/++bcb7ZCqVUBLVcREo2QRBEX8MDvPDRGczX5QW4NNab7Pj9v8/g8duHR80I3h202h1hY4c3zSlGsjS2MmRzXjkYNh793UX6kONYl9XD57x1cp/78EzABH9CvgYb7x6JZf885nNrDeeKv3XeOPzXn77wJnCblI80uRjpCilOWI1Y+OYR/OOXN+GFj6p8yciC2+gB8Nv/Gg2xwPv3+ndPYO2MooAYZ5+1vb4Vpa99ibcfuBHP7jmNA9WNKI2hzJhM1Llyblyx2CX5moAaw+09J9F/MVqYgMUf7nwHMnx4og4fHL+E4pzQLOH+xzx0ixZCAR8tNgcqzxvw71N1OH3JhFV3FcLmcPn6v8YWBj80W/GvU3VY/e5J3/W9yRe1mHDtALx//BJGDlJhwRtfYdEkLV6tOMtZyi+ae3qSRICy178JkQ2Si+6lQ4r25s2b8corr2DmzJl45plnfL+PGzcOjz32WNwax9La2oq5c+filVdewYYNG3y/G41GbN26FW+99RYmTZoEAHjttddQUFCAL774AjfeeGPc29KfqTPZ0Gxm0Gp3IiNFAqvLhTV3jsCTO46FZGv0dkSnUZyTGlJD8MMTl3H4e68FQSEjgScIguhreADMvi47JK6QtfIybndMGcG7OqO0UiYKUXKBqxaqjbNGxrQgMC43NUQJlosFWDm9EG6PB5W1zUiWCCEW8NFsscPqcGN0tgrX5aZyxi5/WtWAc40W7K+K7Naq06px/KLRZ5E3250wWh1wuNxIEgnw9KwiqOQilGjV2F/dGNJGnVaN2woz8N//dyTgd7uTO8ZZkyzGyumFaLE5fe2JVqaovsWOCfmaDi+shIvF3l/VAI/HE1DXPNZzEv2bhtbQ5GfBC1lb543Dln3VvkR+bx08F+K5YmFcqKxthn6oBunJYmzeV4XD55rx9gM3YuQgFRpbGKRIhZCK+GhqdcDl8aC8gjtXAR88/OaOYdBrB8BkZfDc7JEoyFKgMFOB9BSpT4ZZosndsQvGENkgueh+OqRo19TUoLi4OOR3iUTS7tqlsfDQQw9h2rRpmDx5coCiffjwYTgcDkyePNn32/Dhw5GTk4PPP/+cFO04UttoxvIdx3DmcgvKS6/HNxcMGDFIiQvNVs6SCEBovdGSfA1WTS+Ew+XGIJUMuWlyihMhCILoi3iAtw6eQ3FOaogF9a2D5/D47cOjJjLrjozSNqebc6IKeMcwq8MV04JA8D5ysaAtE3dVQB1q1tvL7nCiOFuFLJUMTrcHlbXeJGX+JbB4PB7KS6/HqUtGLL1jOP5nzxkcrm32bQeADIUUHo8Hv//o25Cs6OtmFGHfqTpsaIvvdoPbtd0/ozlLuBhnpVyMsTkqfHfl6lwvbD6WfA3WzyhCqlwUU4b4cESKxa6obsTCW7QhykS0cxL9B67FOoOFiZqw178O/fEfjFh4ixZutwdr7xoBp8uDK612OFweHKltRtkbh/CnuddhxbQCCHg8rH33RMDcuESrwYrpBXC6PGH7m/3VDShtGYwFb3yFEq0GD00cip/+6Qtfv+CNueYFuLuXz7ueM66bjcf2d3cnuegZOqRo5+Xl4euvv0ZubmCd5D179qCgoCAuDWN5++23ceTIERw6dChk2+XLlyEWi6FSqQJ+z8jIwOXLl8Oe0263w263+/42mUxxa29fpM5kw/Idx1BZa8DfHrwRZrsLLTYnVuw8jrlRamUrpCL89YEbIeDzkCQWQMTnQcAX4LbCDBJ2IgSSTYJIXNolnzz4as4Gu2TP1+UBPO/f4RKAdVdGaZPVGXG70erEsIGKqJnNgxcNlDIRVgWFVAFeRZSH0xjj5+3Fuqkv234Uz8weFfLMSrQajMtNw03aNKycXoj1u0+EKNWlujx8cbbJ5yZa0ZbNe0xOKj46fSUkX4pSJsJ/vr0SMhn3J1wsp4VxBbitcrndDtEkIVMpjfiMuJ4jF6YoMaVSkQB7H/1Ru87Z16Cxk5twi3VL7xgeMang2hkjMH1zRUBZOv+kiCVaDebpBvvCFuRiAdKVEhw+14z3jl0KUab3Vzdg3e6TeHDC0IjtZeOu91c3wI2r3hoWxoUFb3yFFdMK8KvJ+ahvsUMi5GOAQuwrkevv7s62SykTYefCm/utXCQCHVK0H330UTz00EOw2WzweDz48ssvsW3bNmzcuBGvvvpq3Bp3/vx5/OpXv8K///1vSKXxy0i9ceNGrF27Nm7n6yuEc9EzWBhcPzgNT0wdjmSxCM9+cBqlurwQizUXPB7w0z99gRKtBs/MDkywQhDBkGwSROLSHvmUiQTYFsaive3gOay6c0TE47sro7RCGnkaxG6PJbM5u4/RwuDERVNYb6+K6kafCypwdZL/7OxRIa72gN+kW5eHtbtPcJYa8wB48EdD4HB5ApK6aZLFKK+oCesWy5boYvG3qDvcHnx3pTXEXV8hFWHv6fqQeFVfFvN8DbaEWQiJNUO8/3xEJhZg0SSt7z5CzikTYWh6ctRz9mVo7Awl0mLdHUUGXJej8i0Q3a8fAqVcBKGAB5PVCcblxsppBahrsXOGdgQrwmX6PGzYfdI3N+biQHUjlk0ZHrHN6X6JhYPl18K48MSO49g6bxwWvnkEJfka/Pq2a1GQqcSR2macvmjC8CxFgJynysX9XjZ6mg4p2vfddx9kMhlWrFgBi8WCe++9F1lZWfjDH/6Ae+65J26NO3z4MOrr6zF27Fjfby6XC59++im2bNmCDz/8EAzDwGAwBFi16+rqMHDgwLDnXb58OR599FHf3yaTCdnZ2XFrd2/BfyBLEgtxuLYZ63ef9A1kE/I1eG72KIiFfFRdNmHS8HT8YPC6is9ps2RHc70RC/ko0aqxfmYRKdlEVEg2CSJxaY98NrbYsHxaARpa7EiSCNFqcyFFKoReq8bM4iw0ttqQqw7NxO07dxQrZrwy56YmiVGSr+FU6kvyNUhNar8y39DKwGCN3L7gjMHsJDzaJD3c9spaA1ZPH4G1QdbukjZreXDCMLvTjRKtGg9NykfZ616PQX/rXbArtr+7frJUiNOXTJyZ1vVaNTbOGtmpRRAuK6Q+zH1QzKkXGjtDMVgcKL15MH52Yy6ylDLYnS5cabVDIhTg2A8GrLxzBNa+ewJvf1mLyQUZ+O2Hp0PcvZdNGR62vN+B6kbcXzIEW+eNQ5ZKhi37qn1z43A4XZ6Ic+Zv61oCyuBxya/d6YZeq8a8mwfj3lcOwsK4fKEi//Wnz33HkmwkBu1WtJ1OJ9566y3cfvvtmDt3LiwWC1pbW5Genh73xt166604duxYwG/z58/H8OHDsXTpUmRnZ0MkEmHv3r2YPXs2AODMmTOora3FTTfdFPa8EokEEokk7u3tTXANZLoggf7qXDOarQ789sPT+NXkYXhuzylfJ8K6jYWvle2NR2m1O7HmrhHwRKuRQhAg2SSIRKY98pksF0HA42HzvuoQRWz9zCIkR0mEqYiSGTdemXN5AB66ZSjcHk+I++hDt2hZD/d2YbI5omYE5treauMuUxXL9jJ9HtZzWLv3VzfC3bbdX3nOTZPj2dmjwOPxMC43FZ9WNaBMnxc2MRvrrm9mXFj1znHcc0NOSAy+SiZCrlreqUX1cFZItkSc/31QzOlVaOwM5KLBihU7j+FwrQGb5hTjmT2nQuR7StFA3DxUjadnjsQTO49xWq1LTaH5C/xJkgjxwkff+sIoo8m90eLgXKDy1rnX+urcX21DqPzmpskxJic1QPmuqG7Eyja53LKvmmQjgWi3oi0UCvHLX/4Sp06dAgDI5XLI5V1jqUxJSUFRUVHAb0lJSVCr1b7fFyxYgEcffRRpaWlQKBRYvHgxbrrpJkqEFoFwA9mBoIGsTJ+HJjODkdkqCPnA6JxU5Kpl2NEW71Gi1WB/dUNIbJZSJoLN4cIlgw1iER9fft+MqUXhPQwIgiCIvoVMIMCyHaGT14rqRqzceRwbZ42MeLwmWdwt5b/MdidsDjceu20Ylk3ho9nCwOmX4OifC29GuiJy6Fpw2FWaXIxPvr0SMSOwv7s2i0oeunigSRbj2dmjkK6QwGJ3YfdiPepMNizdfjQgc3Jxtoqz9BfAnZhUkyJBRtt9bZ5TDIPFAYvDhcJMBRboh/jqiLMT+U+rGlDfYse63Sexv6oBn33X6HMxZ5XsoenJvnPG+qyC3dKjJT5bMa0Qk4enU8wpERbfHLe6EYsmaTkXjw5UN2L9u6dQqhuMHwzWsJ4iwfiHVtidbshFAhTnpELaVr7u9GWTb24cjE6rxldtclWmz8OyKcPRbHFAwOMhRSrEPX/+gjM04kB1IxbohwDwGrE+OHGZU9YPVDfiyakFmDVmEMlGAtEh1/EbbrgBlZWVIcnQeoLf//734PP5mD17Nux2O26//Xa89NJLPd2shCbSQFZZa8DyKcNxW2EGBDweLA4X7hgxEGIBH9/Vt+CSUYXXDtSgsm2V0A2vFcAXm6VVY54uD28frMWtBekYk5OKIeokEniCIIh+RCvjCjt5rahuRCvHhNKfzmSp5oJLwWOts/uDLF3zdXk+JbMlSrI0Lu+wHxek49e3D8PUkZlYH5R9mE1ctmRbZcB5dFo1LhqsAZN0TbIYb953I9YFWar1WjXevO9GzH31C84yRVywrurs8/NXiM2MCyveOR7Rww0AjFaHbx+umt57H/0RMhTte1bBbunRQgZsDhfG5KTGcMdEf8V/jjuu7VthDUFSkcC3iHS4thnLpxbg+8arGfSDFWmVXIyNs0Zi/XvemtdcoRVsibwpRRn4ceFAjM1J9c2NWUryNVigz8PCN4/AwrjwzXkDhHweeDxgyohMnG+2cCrZ/u26dfgALJ9aiLu2VITdj3G6UZil7NiDI7qEDinaCxcuxK9//WtcuHAB1113HZKSAuOsRo0aFZfGcfGf//wn4G+pVIoXX3wRL774Ypdds68RbiCTiwV48d6xaLU5sfnjUHe/x+8Yjmf3nPb9HpzFNFMpw79OXsZbB8/hiakFEPH5ULWV9SAIon2YTKYOlUtMSkqCQhFhtksQ3YApSoxyLDHWHc1SHQyXgrfx7pF4/+glzqzgwFXPLrlEEPa8XN5hcrEAP70hB+t3n0RlrQFl+jyUto2RWSoZksQCrHv3ZMCkWq9VY9WdI7Dg9UMoL70ea971KtbPzh4VomQD3oWK9btP4NnZo7Dgja+g06qRqYxc7ixXLcfeR38U8vxi9XBj7y0Skd5prFnkuytkgOi7sHNcuViATJUUlRXNIYrxlnuLwQMPl4xWn7t3uBwFJfkabJ03Dl9+3xTWOv7CR99i1fRCPLnzuE/u/ZNA1ptsgMe7QFWi1WDtXSNwrtGCVyvO4k+fnMVfym6IeE9utwe/mnwtfmi2RlTIST4Sjw4p2mzCsyVLlvh+4/F48Hg84PF4cLkir1QTPUuaXOzLaigTCeD2eCDm85GhksLlcuPp90+hstaARZO0AdlLhXweKmsNvvMEr2i/u0iHWwsykKGQwmBhkJ+eQko2QXQAk8mE3MF5MDQ3tftYVWoazn1fQ8o20aMoZKIQ65C/NSnWCWEsWarrTDY0mxmYbE4oZEKkysU+i204BS89RcLp3glcdbXWadWQi8Irl1zeYcFxzsET9ienDsdDk7T41Y+vDXBT//2/z2DNXSPg9Hh8buxCPi+iV8AT0wqxdd44HL9oxGWTFW/eNx5GqyPgOVsYF3RaNWQiAYYMCM0+HM3Dbekdw301uwV8XsTs35HeabQs8pfaYmG7K2SA6LuwizUPTRyKDbtPcirGfB4PU4sGIl0h9SX1Lc5J5c4w3vYtrr1zBH7/76qQfi1JLITT7YbV4cbc8bm+0IvFQYn7PvhVCf7xy5tQUd0ADzy4ZLR6lfHxbvB4PJ/lPFi2dFo1PjvbiOJsVcQExCQfiUmHFO2ampp4t4PoJrwJIo4HTDBuHT4Aj99RgPXvnsAC/RCMy0vDyukjQmp1hsteynK+2bsyqB2QjGtUMlKyCaKDmM1mGJqbcNuK1yFVpMV8nM3UhH9tKIXZbCZFm+hRksQCbwmpj6tDrElb541DUhTraKzUNpqxPCgWXK9V4+lZI5GjTgqr4AVn/eZiyaR8iPjh06FxeYdFipXeX9WAi0a7L8u3TqvGAn0e5GI+Hpk8DOt3B7qZv31/5FwzLVYHHC4PbisciK9rm7H+vVO+sZl1/X7r4DncOz4XTWZ7gKLNutI3mhmUl14fEpPNerid+MGIdIUUdqcbPxhsGKSU4sV7x+Kht460K/t3NJfws1fMePq9U3h29qi4hgwQ/Y9kqRDTRg7EpOEZ+J8Pv+XcZ39VA0pvHozK8wacvGjEfF0eZCJBRNm1OFwhVm//v4OTrQXPl1ttTsjEAlyXkwqHy4MspQz/n71zj4u6zv7/a+43YBhmRFEB0SERQcMwzRmsrK1MS83v7jdrf4FYbSXa1u5mlmZeutde0trvtom5u2ntbmllW+2WbQlbmcrm3SRJNFDkMjPAXD5z+/0xfMa5fOYCzMAA5/l49Ejmcx84n/M+7/c5r6NOksDmcKKp3YoxGjneuucK/L/Kvd6SELaUZfn2Gjz/48morKpDZdlUCHg8so8BQo8C7USozSa6z0WBCP9Bx4SRSqzbdQQ19QasSpWiqV2KdbuOeFU+WdgBwN0zx3K2O5AI+RilkiEjRUrGThAxQJqSBplS09+3QRDdxmp3YvOeU36q1OxK6+aqOjx0/fheX+O8yRoUZANdq707DuGFn1waMsCLpA6sVkigkovAuEIH5FxpzpECeLlYALlYAHNXDbtMKMAvrr8EFzpsWDQtG4t9hMgU0tCTEXKxAOokMTpsDtQ1dyJbo8Abd09H+Wtfo7mD8a7alc0Yg2Xba/DWvTNgNHt6j0fTdeRnV46FVMTHrkONQQFExdVa/OzKsfjNvzzjgGgG+ZFSwiVCPj4/2YwVXWnksSgZIIYeP7SZUd9qRpkuJ2L5is3h8nbOeeOr07hjxkXBQK5sHCGfh59dOdYvqA6l1M9VetFpc6C2qQOTRivxfbMZo1UyHDxrwAafCTK9Vo2//uwKnGzq8GSRnjF4bVIi5KMoKxV8HvDcjyejw+og+xgA9CjQZjl69Cjq6+vBMP5iHDfffHOvboqID6Fm9tkZ+IpZWjz34XHc/6NL8NBbhzjO4Am2H5qdh1c+P+U3m63TqtFksmJCRgoZO0EQxBDHBeDWadmcwkGLdTmIvJ4cmbZOJmxqdVsnEzLAC5eCqdOq8fHx8/hvfRueDKOOzpXmHCmAd7rcF+u/xQLcOi0LT75/LEiQ7cVFRbjQboNeqw6a9JZ3ZQusfTdYaO3V0qm47Y8e9WJ21W5KVirsTheWba/BU7cU4uG3D0Wsyb56fLqfJkvgfhvmFeDK3GFRD/LDpYT7qrB/frIZzR0MxqUn0ViC6BZnW81Y8fZB79/o5tLisPtLhHyYGSeWb6/BG3dPB68reSVcrfZjc/Pxh89OeT+LVu1/Vt4wpCrE+GPVKazccXF8HTjBVVXbgjXvHMHkrNSgjNJhyRIUZalQtuVrvFehx7j04FIQIvEI7xFCcOrUKUyePBkFBQWYM2cO5s+fj/nz52PBggVYsGBBrO+RiBGhZvbZGfgpWSrkjVSiyWQLe54mkw3l+oszfzqtGsuuzoVOq/EqhxIEQRBDFx4QcqVnS3Vdt/tTG80MvmvqQE19G7670AGjmYmYjmyyOrwBXiCVVXVYNisXJQHbfFXHq2pb0BlGeIhVRvc9f80ZA0q03FkoOq0aX3TVWgIXV8O4BNm2VNdBxONj/fwC6LVqv+2P35SPlz+tDTquqrYFL3x0ws8/A8CG+YX45V+/waTMVBjM9pC10tW1F++Nx0PISYzq2hZYutS/ow2Iub4rwP/7ZolGKI8gfDGaGaz0CbKBi5NpXJRo1TjfpQtgZpz459HzOHzWCJ1WHXKVes/JZqx776iffUXKYLE5XNBp1Xjg2vF4/iPuiast1XV+59xT2+y1Q/ZeS3U5uPWVL7Fpd62nGwLZyIChRyva999/P3JycvDJJ58gJycHe/fuRUtLC37xi1/g+eefj/U9EjEiSeL/62ZTY7LS5Hjj7ukQ8Hl+xh2OGwszcHlOGtQKMeQiAaQiATIoyCYIgiAAuNzhAzWXO/pzhWoLtfLGCWGPS5YKQ7YJK85WYUyaHKvmTMDZNotXHdg3VROIHPSxyujnTFacbbNAwONh3uSRXuVwlll5w/Dzay9BcwcDmUiAyrKp0CSJ/QJMwOOXl149DjMvGQYr44LN4cTTCwrBuNywME6YGSeSpMIwWWfNKNON8f48WiXD8u0H8NDsPGyprkN+RnjthmSpEB/+vCRiW7NwysehYL+rRqMVp5o7Ob9vzz2QcjIRGVYE0cw4oJKLUabLwaJp2d4SlTf21uPphZ4uSH6ttrRqLNbngAeeN6ulsqoO7yzVYYxGAZcboWu1A+wrUgZLVpocd+pzIBDwgjJTWAL73AMeG/j9T6dALOBjWLIkqMc22cjAoUeB9hdffIHdu3dDo9GAz+eDz+dDr9fjqaeewvLly1FTUxP5JESf0miwwOFye9PQAlNjNEli/OXOabjQbsPRRlPIlLqSrhQvm8OF+14/gI9+XgKHy01BNkEQBOGlwxo+UOuwhd/OEq4t1GMCHmdqNeBJo5aJPIPgcG3CDI12LNm6L+T1I9UWs2x4/5j3Hl8rm+pXmy4XCZCqEAelYgcKjMrFArx8+xRs3nPKK+IkFwvw93uuwBP/OOY99uXbp4S9F3aVrUSrAeNwYeb4dO8KXeCAPpB2qwM/+cOX2LlUF3Y/paxnA3129fvJfxwjZXGix7AiiDX1Bmy7azoee+dwUPkFO8F26+VZWHFDHs52CfZmKKX4n//7AgD82nDZHE6cbTUjWxM+JZvnk44TqQTF5XZjc1UdbpsWXtsqcGW83WrHvX854FVD747wIJFY9Ch13Ol0Ijk5GQCg0WjQ0NAAwCOSduLEidjdHRETjGYGp1vNaDMzWH7NJdh+13T89e4rsLXL8crFntn1mtNtUMpEqKyqw+Ku1ia+6LRqrL5pIiqr6iAR8lGSqwGf52mTQhAEQRAsybLw8/jJ0ujm+U0WOx66YTy23zUdu5bpsbm02DvI7LDasXruxKDUarYvtdN9cdlcKRdjXHpSULqzSiEOOt73PCpF5AGtr/6JXCyA0+3G8QYTas4YIBHyoZSL8AJH2uiegLTRcn0ONu855RcwlOtz8JRPkA1EXkWTCPnQa9VYv6AA971+AEWZqd7jw6XT+tZK//tEU8gU+JJcTa/8fqg0clJOJqLBVwSxXJ+DFz46jj1dY9mKWVpsLi3G7dOyIRcL8MzCSaisqsOFdhvue/0AXvvP9+DzeFg1ZwI2LipCfkYKeDwejjaacO9fDqBglDLiu2lkqsxrQ+x4uSTApkq0Gjx64wT89uNvUVXbEpXNsrB2WJKrwbJZuX5ZL2QjA48erWgXFBTgm2++QU5ODqZNm4Znn30WYrEYr7zyCsaOHRvreyR6gNHMwGC2w2x3QCQQ4KXdJ70vortnjsX1E0dgT22LJ3Wtq1VAqkKMNIUYq+dM8M4CsjN9EiEf501WfHC4EUVZqWhqt2HD/ALIBHwyeIIgCMIPiYCPEq2Gs1d1iVYDiSDyPH+o1l2v3zkdt7/6Jfh8Pn778Qks1uVgxew8dFidSJIK0GSy4Tf/OoGHbwifWg4Aw1OkeHJBIR7ZcchvZZxtEcb24w4HWyuuSRLj1dKp+ONntfjVDXlY19Uic3NpcVA9NUt1bQvu0o/Fz6/NxY/yhyM/I8VPeZxLbCncKlqJVoMMpRQb5hfi7q37cKYrLZ6FVVlmr33xOM9E+geHGyEXC/DK56ew6bYigIeglP1YDPTDZRkQRDh8RRBZ+wgpYKbVoLJsKmQiPjaXFmOkUgoBn4cPDjVif73BqyxenKXCwimj8NjOw/jVDXkh7WtW3jDIhAL86ro8LLvaCYVUAImAj/XzCvBdc6d3vDw8WQo33Nh9/AKAyCvf7ARXSa4Ga2+eCAC4q2sC7r0KPdnIACbqQPvgwYMoKCgAn8/HqlWrYDabAQDr1q3D3LlzUVJSArVajTfffDNuN0tER6PBgtOtZmzcfRJFWSrU1Ld5V65fXFSE16rrcMnwZMjFArxaOjU4nS1Xg02LpqB869d+PTkX63Kw+3gTNswvgJjHQ5JMRAZPEARBBME4Xbjv6nFwwR3UHuq+q7VgnOFFhMK17lq/6wieWTgJjUYrFl6WiUqOHraLdTkwWhgAioj3ygNQMUvrF6x32hxRC7alSEXezLBnPjyOoiwV1u26WKMdTjBJLhZgpEqGzVWn/NpmsmrEDo5i9lDBsk6rxrr5E6EQC+F0uTFCKcW3TR1+q2WsyvLdM8fi4dl5XvHTmjMGzH+pGkVZqd509optNXhnqQ58Hi8uA32lnIIGovuYfMpSWNsKKWBW2wzwgMuyVXjl81N4f5keq945jJp6g19gXjFLiz9WnUJ1bQt+arRicVeJRaDOwoobJmDVzkNBav+r5+ZjmY/WwMu3T/FLMQ83wbVufgEaDRZMyZqKTJXMr989ALKRAU7UgXZRUREaGxuRnp6Oe++9F19//TUAQKvV4vjx42htbYVKpQKP110tUSKWGM0M/v3tBew62OCtx2Jn93xfRIt1Od6UGy5lRbjdePPuK9BmYaCSiyDk8wG3G2vm5kMo4FNNNkEQBBESlxtYsnWfXw0kK361ZOvXeOveGWGPj9S6a8XsPLRbHLjzT9zXWL69Bu9V6CPeZ4PBgjXvHUH+SKW3Z67F7hFTOtZgxPr5hRG7aSRJhVg9ZwLarY4gvwuET/Uu1+dg/XtHOJXHAWDFDXlBx7DBcrk+Bw/PzsOZVk/taZPJCqlQgPSuVXh2xdjldqMkV+NdmTYzTjhcbjz9Qej2XWybLz6PR22EiIQixSe1m7WtcG222DZ35focNBqtqKk3YOOiIkhFAtw+LRtL9GORIhV6jxfyeVjWZV++7xUAfhNoLFW1Ldiw65hfz+xAm/e1WfacmWkyHD5rhIVx4rZX9wIAPnnwyhh8Q0QiEXWgnZqairq6OqSnp+P777+Hy+U/Q5uWlhbzmyO6T3MHg/RkCedMenGWCgBQrsuBSMDH7IkjwigrtqCs3YolW/dBp1VjbmEG9FoNRHweRlCQTRAEQYShk0PszHcinmu7L6YIYmqdNiey1XIUZ6s4/Vi0gkEmqx23hen3bbLaMRLhfV6nzYGC0UqcabUA8Pe7crEAAEKm0c8Yqw7bh5fpag8UOLg3M07U1LcB8Cgk67VqPLGg0G8S3HfF+JkA5fVo+v+S6BKRiLC6ClW1Ld6U7GjabBVlpqLd5vBmdrKp41OyVHC63Kgsm4oD9W043GBEUVawfWwuLQ45+benthn3XDXOe0zNGQNGKqV+tmtmnN7tnnH1SAxXSnGhnQFAImeDlagD7YULF+LKK69ERkYGeDweiouLIRAIOPc9deoU5+dE/DFaGL8XDjurJhcLkJEqRU1Vm9fQo1Eu1WnVWDYrFyOVUoh5PAxXyeN38wRBEMSgIFUu4qyZZFOiU+XhVatTIggSpcpEGKWSc7bu6lYdsTt0v28AWD0nP+IpjBY7zpmsXn/r63dfXFSE1786jVLdmKA0er1WDXEEkaQLHTZUXK0FHzy/QL0kV4N18ybigsmG2RNHIEUqRKY6dJp8YE20PYr+aiS6RCQiw1OkeGJBIR7dccibki0TcccjLKkyEQwWO0arZHjmw+NBqeMsOq0aS/Q5mDQqFUDoFoVcCPj+7cJeum0KKq7WBp2nJFeDx2+eiA8PN2L9+0fx/I8nk8jZICbqQPuVV17BLbfcgtraWixfvhx33XWXV3mcSBwUEiFGqzyiDzaHC6lyMZ5cUOARL9t11FurXa7PQWZa+Fn6MRoF1t48EUI+D0qqxyYIL+fPn+/W/gqFAikp4fvXEsRgQiLghwxgeQCeWlAY9njfVatAfNXAeyuq5Ub4ft/RtPtOk4shFPDQ1mnH9rumwcw4MStvGPJHKr3fwZenWv3SRpUyEax2JxSS8MOwMWoFnC4XnlhQgE7GCZPFjiSpEDKhAI1GCyyMC981d+LGghEAPOVjzR0MjBYGcokQfB4PQj4PaoXYb4X7u6aOsNfNSpNTiRiRkBjNDJ794FiXCKIEZpsTw1MkfuURLHKxAKvn5EOdJIZQwIeAz0N1bQsqZmnDTrBNHZPmbdEHAKNSZbDaw6+aW+1Ov7Z+GalSyIUeobQOmwNmxgkhn4eq2mbctLHKW889VqPAxkVFNMYepHRLdfyGG24AAOzfvx/3338/BdoJiFjIx3MfHkdeV73ZeZMVORoFirJU+O3HJ/2UGQGEVEHUa9VwOF349T9P4oUfT6YXAEEAsFvNAI+PoqKibh2XqkrD6e/rKNgmhgwdjDNsjXWHT19YLnqiBu4GELWCWReRUtgjbT/TasYPBgsMFjukIgH2ft+KYw1GrLhhAlo6bd7VMt+0UZbNpcXgIbwftjtdePHjk1h+bS5ufeVLmBmnN619+fYaFGervCthDQZLUM9xdt+n/nEMa+cVeOvNNUlizMzVhOxlTW07iUSDnURqNTNYWJzlVeZne9C/uKgILrfbu6B098yx+NGE4ThnsuIHgxUH6ttQOEoJILrSiSVb96FEq0GpbgycbhdUClHYyb80hdh7P2z/62/qDXjohvFBosMsM3M9XQJojD146VF7ry1btsT6PogYYDQzeGLXUdzKUW+2ubQYgL8gGps6AwSqIGrwy+vH4w+ffYf18wroBUAQXTgZK+B24eoVf0SyenhUx1hNrfjnhjJ0dnb2WaBNK+5Ef2Oy2MNub7eG3w4AWWoFXvjJpWjrZGCyOpAiFUKlEPsF2Q0GC1b8/aBfWvXMXA2eXjgpoogZ4BEyY7O8WDE0qUjgHcQnhUhhb2gzg3G68ehOf2V0NrB97sPj+NlV48Je2+ZwATzgV9fngYfjfgN4nVaNMl0Ofvfxt1g9Nx/nTVb8qfxyKGUiiAV8GC0M3qvQe1fvjWYmKMgGLvr2oiwVHn7roHfljO1l3au0e4LoIxoNFvz7xAWkp0i8NjpSKcVLt03B0m0HAABHGoxYcUMeRHweREIB1r57OEjJ/+ZJIyEXCyLWdMvFQmwuLUaaQozbX/0Kry2eipd213pT1rls9bcff4tyfQ6+OWPA4zdNhNPtwm2XZ6HDZsfamwuw9r0jcWmVRyQ2PQq0icTknMmKPJ9UNS58Z/G4VBDHaBTgA3C73XjspolR9RAliKGGNDkNMqWmv28jCFpxJxKFFFn4GuxkafjtLMNTpCH9kNHMBAXZAPD5yWaseOsgNkWRjpkmF2NzaTE2fVobVKu5ubQYaRzHn27pRHVtMz441Bgy9bQoSwWpKHz9dapMhBSpCG2dnbg0S4XFHMrpZsaJX17vwhhNUsD34F+P3dzBBAXZvvfEKqE3dzDe74R6WRMDAaOZwekWM3Ydagia1Kq4WouKWeNwyfAUbKmuw2/+dRIVs7Tetra+VHe1Blw1Z0LYTgAAYGYcWLJ1HzaXFsPMOMHn8fCPw+ex/NpLwtrqAz+6BKOUMpxpNSNLLe+a7PNM+G0iWxuSUKA9wGFTaZxuN1o6mJDpMKGUGQPT2TaXFkM7LAkSIZ+CbIIYYAyUFXdi8JMkFoRNs0wShxcvioamdhunkjfgaenT1G6LOJCVCPl4+dNazkE5n8fDpkVFMJoZNLXbYLDYoei67/EjkvHIjsOc52QDW4fTHTYtPLtrIN5gsIRMYwWAdqsDEzLC26YpQoYA6/sDMwmolzWR6LSZGWz89GTISa218yZi76lWLNGPxc9mjsOwZEnYjjoPzc7DobPGkLap06q9Y+aaMwaU5GpQ1fWeMZrtYW21yWTDsBQJ7tt2ANvunOa3jWxtaEKB9gCADaZNVjtSZCJoukRNfOuxXiubihFKKU41d3Keg1VmlEdQZhylkiFVTsJnBDGQSdQVd2Lo0Gl34LGbJmLde0eCaqwfu2kiOu3ha5+jwRAhPd0YYTvQtRIcIgNs/+k2tJntWL3zsF9Ar9OqsXxWbtjz2hwumCwOPDZ3Itbv8v8OSrQabFhQgFFdXTxCpaezRFJg9+wTPkOAXcGLNpOAIBIFp8vTlvb2adl+ZR2eFncGCMDD+z7ZJZE66pxts+BChw3r5xVgzTuH/eyfLf3Y9tVpLNbl4I2vTmPNTRNx6ytfAIicqaOUiXBH5V6YGSfZGgGAAu2Eh0vcZGauBk8uKMTjPvUeSrkINfVtyArR3oNNE3+nQheyn2dJrgYZKSTKQBAEQfSOTqsTnTYGFbO0WDE7Dx1WJ5KkAnTaHDhnsEIh6f2KtiLCqrg8ilVzo4UJua1cn4PVOw8FBeLVtS247ypt2POmykSw2J145sNjnKmmG3Z52voo5WKo5NEprIcjnLgZuzJHfXqJgUaDwYLH3w0Ohl9cVOQtfXzsncN+K9OR0sLFAj721rUCACZnqbBYPxZCAQ8quRh8nqdN1y+uG4/mdgZ5I5W40G7FrZdn4eAZA5Sy0IJoOq0a//72AsyMk2yN8EKBdgITStzk85PNWLnjECZnpuLjY00AAKGAh/XvH8Mbd08P+RIoykrFPw41olQ3BgCCenI+S6IMBEEQRAxIU4jx648Ph0zN3DCvoNfXUIiFYdM/FWLPECdUVhjgET0KRThl4i9OtYSctNZr1RiWLMEPbRbsPn4Bu49f4DwHWy/dE4X1QEKJm7ErdG/urSfhJWJA4R0Dh0gZZwUMA22UTfsO9V5oardh2axclL/2tbfFlu/2oiyV95w6rRoAMGOsGrdfnoWMVBmnrfp2AiCRM8IXCrQTGF9xEy5V1PQkCUQCHiaPSoWIz8efyi8H43Biw/xCrH7nMGeLj+XbawAAb9w9Hb90j4fd6YLL7Ua2WkE12QRBEERMsDvdOHGuHZtLi5GeIkGH1YlkqRDnTVaseOsg7M5oOlSHD5JT5SIs60rhDhRJWjYrF6lyUcisMFaVnM/neXteB6qOh6Oyqg7vVuiDlIRLcjVYe/NElFbuxcobJ4Q9h2+9dJZagWf/ZzKMFrtXLEkpE0WlnM7iK25mtNghFwsg4PMg4PO8q+cEkeiwNm9zODnHwE63G9lpCrjdbs7yELZUEgjuqLNu/kQoxEI4XW4UZ6v8JqX0Xerh7DjZd9w8a3y6t698UDcEmRBSIR8mi92vEwBBABRoJzSsuIlv72vfmbuSXA0qrh4Hi92FJ94/iv1d7bpe/vcR/Or68SibMYZTFRHw9NsWCnj47T+/w6Nz8inIJoghDrUEI2KJzeHA63dOx7pdR/wGu3qtGq/fOR2MI3KNdqQgWSkXIztNjrmTRno7Z0iEfDS12zAmzVP/HCorjG11JeLzsOKGCVi364iff9Vr1ZhbmBHy3syME2dbzZicmYp7rhwHIZ8HpVyEFIkQNocLv7u1KGIKq28NZ6RnjRYSXCIGMr52wNZa+46B2SCafa+wrWt98e2o88jsCWi3OZAsESJFKoRUwMewrvGur+K+VCzAD20WCHieSanAcbMyoDY7XDcEgvCFAu0EhhU38e197cuek824sWAE/nGoEfvrDdi4qAhSkQD/c1kmeODhteo6TpGXEq0ah84acfmYNDyxoJCcMkEMYaglGBEPlDIx1r53BEVZKm8QzK4UP/vhMay5aSLncexqltHCwOZwYXJmKvafbvNOEvsGyUq5GBmpMtxYMMKvbU5xtgpKuRjfNXWEbHn1+clmNHcwSJIKsfqv/w3yr1W1LR7F4RDp4TqtGvvq27Bpt6ctWEmuBs//eLJ38O1q6sCO//4QMoW1xKeG87zJiu+bO7Ho8iws1uV4xZ4Cn5UgBjNGM4MvT7Vg1ZwJcDjdMDNOVJZNhdvtRmV1HWp8xrm3T8vGEv1YuN3cyv4eoTRPVsp/69vwxIJCwO3GMJ9JK99JKaOZwZPvH+PUOKB6a6I3UKCdwLDiJlw1KGwaTeHoVIxOk0OTJIHd6UJbpx1HG0147J3D2LioCAAvSC116axcjEmTY0Q3ZskJghicUEswIh5Y7E78dPoYNBotfp+PVEpxWZYKFrsncPZNDVeIhdhf34b1u456A2tf4SPfYNu3H7RvEGqy2gGe598dtotppVzlVy63G502B6emCQCs33UU7yzVYd17R4P8qG8pFuCZ+DZZ7OiwOmCy2uFwuUOmsOq0aqy9eeLF7iF//yak2FPgsxLEYMVotiNvRDI27DrqZw/b7pyG+hYz3qnQgbG7YLI6kJUmx3mTFe998wMemzsxKHPG10bNjBMWuxNWxoHMENcOpXFA9dZEb6FAO4FhDf9Yo8nv81Cp5OyL5WiDEU8vnIRl22vw4I8uwf3X5qKp3YZstRxJYiG17yIIIghqCUbEGqmI79d2B/D4qYqrtQCPO106MLD2FT7y9Xe+9c2h0q7XzSvwKo+HKr96/OaJkIsFQaJIgGdV7FRzJ2YXjsD91+bC7nTDzDiCSrFYWjsZLO4SWNpcWuyXwloeoDoORCf2tGl3bVDva4IYbBjNDDoZB578x7GgiS+z3YnXyi8PUhfXa9VYPXcifv/vkyjXeWxMLhZy2mi7xRFxVdpX44DNjqF6a6K3UKAdZ8IJuUTDyFQZOqz+tWyhUsnZn4uyVNhSXYdbL8/CIzsOY3NpMe57/QA+efBKZGu4238RBEEQRKwQCfjY9GltSD+1fl4BZ/00V2BdXduCcl2O334KyUVF8c++vYCyGWOw6PIsvz67j71zGKvn5uMHgyVk+dXj7x4JCuJ9EfJ5Xj8KAEu27gv5zEkSIf7vp5fB4XLD7XZjVt4w7D5+IejcM3M1uEuf4yd4GojvM1M/XmKwYzDb0Wq2c2aXZKvlQUE24CnvWL/rCBZ32cmSrfuwubSY00YVEgEee/cINkUowyCNAyLWUKAdR3oibsIVmMtFfGy7cxoMFjsUYgGGJUtDDgpY57xpd63XSdscLqoxIQiCIPoMi93JWZsMePyUxe6MKshkUUiEePn2KZCKBDhntEAi8AiNGc125GjkUEiEXmVzvVaNy7PTcM/r+7Fq7gRMyEgJ6TP3nGzGvVeO49zO9p8GPH70aKMpZM21XqvGB0fO+bUFemyupw7dt72XbyrqqeZOzntiId9NDFYCx7pCHg9K2UUbP37OiLwRKRiWLIHD6Q75LqmqbcGK2Xk402qB3sdefdFr1ZCJBNh/uo3KMIg+hwLtOBGuB3YocZPAwFwuFqCybCpe2n3SL7WMS2XRF5vD5ff/VJmIakwIop/pjqp3dxXACSLRMNuCU7H9tnOkavvC+i+WTpsD971+AICnTc/0sWoYzQwYlwsbd9cGpZQ+fvNE/PxaLQR8Plo6/OvEAxEL+dBr1UE9rB+7aSJu++OXAACJkO+tueYBQfuWBdRsV9e2YN2uIyjX5eCX140H43AFpaKmRFipJt9NDEa4FqFYG/rl376BXCzAG3dPx5p3PXXX2++aHvZ8HVaPKviG+YXYsOuI3zZd13mfeP8YyvU5VIZB9DkUaMeJcClhXOImbGC+/3QbKmZpUZSZCpGAD5fbjclZKuyvNwDwpNNFainAthSRCPko0WqQrZZ7+/8RBNG39FTVGwCcjvDBCEEkKimy8MOLFGn47RIh3ytgdsVYNZwuNyrLpnrTwte8ewRPzC/wDsZ9qaptwePvHsH6eQV44v2juOcqbfhrifh44Efj8dANPDQarRDyeag5Y8Bv/nUCzyycBJlIAKGAj7/+7AooxALcqR+Lcv1YWO1OZKbJ8NGR85w12+zKvEQoQP5IZdB1WcFTLqXjklwNxqUnUQshYlBhNDNY8feDQUr+VbUtcANewcIX/nkC5bocPDw7D3weL+w5lTIR3G43zrSZ8cvr83D/tePRYLQgSSKE1e7Esi7bXDQti8owiD6HAu04YYowaxY4q9bcwWD/6Ta8fPsUbN5zyl+wRavB//30Mjhdbvz5y+9xXf7woNl3FjbVTadVo8lkxYYFBRilksfmoQiC6DY9UfU2/nAKn/3u53C5XJF3JogERCTgh0yz1mnVEAn4IYNMnVaNQz8YOQXMZuUNwxt3T0dzB4PzJhuW6MeiKEuFyqo6v0C3qrYFNqcLt07Lxrfn28Pey0dHzntadHWJK9W1dGJqdhqunTAcL3x03C+jrCRXg9IZY7yB9cu3TwmZls4SKvU7ktIxBdnEYOOcycrZLg8AauoNWHFDHsQiPh66IQ+rdnrqsitmacOWbJisDG595SvvZ6ww8F1/2oeNi4r83gtUhkH0NQkfaD/11FN4++23cfz4cchkMsyYMQPPPPMMxo8f793HarXiF7/4Bd544w3YbDZcf/31ePnllzF8eHSD2ngQKSXMd1bNaGbQZmaw9Opx2LznVJAC6Z7aZoAH3DQpA/kjlfjtx9+iTJcDN4JbhizW5eCNr+qxYX4BRDweRqtJ/IwgEoHuqHpbTa1xvhuCiC+tnTavSBGXn2rttHEGmSW5GqyfVwCHy4W1AavVcrEAt03LxjMfHg86Z2ALMACAG9jS1X+Xq81WiVaNUp+U7z21LVi7y9P7GwBq6ts4BdRcbrdXQI3NIAvFaJUsbOo3KR0TQwWjmcEPBu4yDrabznMfHkeZLgeVPuKFodrkeUpECnDrK1/4nctXUNG3BCWSLRJEPEj4QPuzzz7D0qVLMXXqVDgcDjzyyCO47rrrcPToUSgUniDygQcewPvvv4+//e1vUCqVqKiowC233ILq6up+u+9wKWG+4iaNBgtOt5rhdLkx85JheO6jbznPt+dkM+6/JhfqJAk27a7Fl6daUa7PwRL9WAgFPKjkIjicboiFPKyYnYd937fhuvz+m2ggCIIghi4KiQh3VH7N2dpq+fYavHXvDPAAzC7MQOmMMd7tTe02SIR8uOzuoEnnSB03AtXDfSejudpsDUuW4NZXvvQLzn2F2CKJjgLwZpBxrbbNzNVgRBSr0qR0TAwFWjoZDEuWcG7zte2HZuf52VNgm7wUqQhyiQAKsQD/839foLmDCTpfoKBiiVaNVLIxoh9I+ED7ww8/9Pv5tddeQ3p6Ovbv34+ZM2fCaDRi8+bN2LZtG2bNmgUA2LJlCyZMmIAvv/wS06eHF1GIF5FSwpRyMc6brDjfbkOnzYHhKVII+byQ/TwBwOFye2fnzIyTcxCwubQY44YpUKLVkOMmCIIg+oUksQBXjE3z+4zXVWt5xdg0JIkFeIhDMBTw+MlVcyYEfV6UmRpV8At4VrvafVpjcvnMl2+fwulvA4XYuGD3qayqw+bSYvDB80uJ9fX1BDGUYRXG7U4XjjWY8OSCAgxPkcLmcHnb8RVnqbz22WHl7mnPbt9+13SYLHa0dDCcQbYvNWcMKNFqUKobg06bI+y+BBEPEj7QDsRoNAIA0tI8Dnz//v2w2+249tprvfvk5eUhKysLX3zxBWegbbPZYLPZvD+bTKa43Gu4lLAGgwUr/v5NUO0XZ/pbF3KxAJ228GlqGUoZnG43RpD4GTEA6SvbJAii+3THPi1OJ1bNzceqnYf9Aly9Vo318wtgcYZu7/X5yWY43RzXjxAAy8VCVJZNxXmjBTqtBqdbzGH3D5X2HSkdHADGaBT4/U+nQCzgY+/3rbhsjAplujFIloqgVogp/ZvoUxLVd7IK4/tPt+Ht+2ZAkyzBlqo6/7GvVo35l47yLjQlSQVhz5kkFcBmdyFVHj6EGZUqw2iVDDIRH8u312DbndNi8kwE0R0ie5MEwuVy4ec//zl0Oh0KCgoAAOfOnYNYLEZqaqrfvsOHD8e5c+c4z/PUU09BqVR6/8vMzIzbPSvlYoxLT8KlWSqMS0+CUi6+2PqLo/brteo6lOtzgs6j06q9Sqg6rZrzWiVaDY40GKFRcKfmEESi05e2SRBE9+iOfbqc8IoZ+VJV24JVOw/DFUFQv8PmCPJ1kQJgM+NA+Wtf4x+HzuGcyQqJiB/SX4bqucsKiob3tWr888g53PuXA1iydR9+86+T+O3HJ7Fk6z6oFWKvryeIviIRfadvm9tfXp8LHoDNAUE20KWN8O4R79i3yWSDPozdNplssDlcaDBYQu5XkquBw+nG7a9+hec++hZmxkmK40S/MKAC7aVLl+Lw4cN44403enWelStXwmg0ev87c+ZMjO4wOsK1/qqqbcGMsf4vDp1WjYqrc5EkEeJ4gwmLdTlBA4ASrQYVs7SUMk4MaPrbNgmCCE137DNQrNOX6q5WPuFIlgqxRJ+Dki5fJxd7VrlKtNyCgjqtGocbjKiYpUWZbgzarQ4o5SI8euOEYH+Zq8GG+YU42mAMOsdiXQ4qq+pQWVWHxbqcoIH8zFwNls7KxSufnwq6B1/9FYLoSxLRd/qOda/NGwGH0x3ynbCnthnXTxyOyrKpOH7OhMdumhhke2xv+7/vP4MvTrVAwOOhjMNGdVo1SmeMwU9euVi/TbZJ9BcDJnW8oqICu3btwueff47Ro0d7Px8xYgQYhoHBYPBb1T5//jxGjBjBeS6JRAKJpP9WfSO1/uLzeXh/mR4dNgcUEiE6bHZoksX47kInls7Swmi245fXjcfDs3lotziQphDD7XZDnSRBOrUDIQYw/W2bBEGEpjv2GakestPmwI8mpGN8RgqKMlP96jVPNJqgkovRYbVj6SwtHr4xDxKhEE//4yhKdWPggjtIdfxO/Vi44cbmKv92YNfmDcOTCwrRbnWgw+aARMiHWiGGmXFg2axc/OI6TwcTPo+H1k4GjMOFcr0n2N721Wk8dEMeHubxYGac3pRwM+OEbpza795VchGy0uQ00U30C4noO9mxrlwsgMPlRicT/p1wptWC+14/gBKtGpNGpWKJPgeP3jgBPB4PLgAmsx2tnQzuvUqL8te+Rn5GCn75t29Qrs/Bitl5sDAuKGVCHKg3+JVgkl4C0Z8kfKDtdruxbNky7NixA//+97+Rk+OfVn3ZZZdBJBLhk08+wcKFCwEAJ06cQH19Pa644or+uOWIRGr95XS5MWdjlffnklwNHrp+PHgAWjsZLNm6D4BncPH4TRPx7IfHsW5eAQXZBEEQRELArkCH2756bj5W7jgUVMP95IJCSIV8OJzAxk9rUZSl8rba+k9Xx41yXQ7kYiHMjAM1Zwz45qwBX3/fGrRi9vHxC7A6DuHSLBXeqfkBf14yDY/uOIQ9tS3elkKBSuYlWjXeX6bHuwcbcOsrX+L5H0/G+OHJGJeeBABQyoE1N03EyrcP+t37zFwNnl44CSNJI4UgPOrgXTa25p3DKNMFl0X6wpaG7KltAXg8rL05Hw4nsH7XEb90c51WjacXToKwawJs0+5a5GekeG10RIoUl49Jo3Z5REKQ8KnjS5cuxV/+8hds27YNycnJOHfuHM6dOweLxdOLT6lUYsmSJXjwwQfx6aefYv/+/Vi8eDGuuOKKflMcj0SSVBi2/uSLU8G1289+eAJSsQDDkiX468+uwAf3l2DupJGQCPh4/seTkUGOnSAIgkgQFJLwfi5JIsSjIWq4H915GAazHRs/PYnq2hYUZaZ692MH1ku27oOZcWDJ1n3YtLsWhaOUIdNSq2pbUJytwp+XXI5Hdx7yDtpDtQvbU9uCx949ArvTDTPjhFImQpL04rqE0cxg5Y5DQbWmn59sxsNvHYTRHF4JmSAGM0Yzg++aOmC0MNh+13Q0mazYXx9e90AXoJmw52Qz4OZhbUCQDXhKT16rroPTfbEAJVUm8qaGc2kjEUR/kfCB9u9//3sYjUZcddVVyMjI8P735ptvevf5zW9+g7lz52LhwoWYOXMmRowYgbfffrsf75ob9uXTZrbh4dkTUJLrX2tWotWgrKs+LJA9tc1IlYnwu4+/RbJEiMNnPS0LsjQKeokQBEEQCQXjdGL13NB1ltYwquN7Tjajk3Gipt6AillaKMTcyXe+A/dIiuRJEiEsdpdfUO0bwHPdw5QsFfRaNZKlQr9U+HA6K5+fbI7YcoggBisNBgsqttfgml9/hlt+/wXmvVSN9w814sVFRXhjbz0W6y7qLrD4aiP4YnE4w06ese0C9Vo1stVUtkEkJgMidTwSUqkUL730El566aU+uKOe4dviYNcyHUQC4MaCEVg5ewK+b+mERMhHmkKM21/9KmQfbaPFjl9cNx4SEQ86rQYjVfI+fgqCIAiCiIzTBTz74TFcmqXCYl0ObA4XJEI+as4Y8PQHx/DQ9Xlhj++w2r1p3UWZqZz7VFbV4cVFReDzeBEVyW0OF5raO4M+C4dCLMD6eQW4o3IvNi4q8n4eSWelPcJ2ghiM+KqM+8IGy7denoXl22vwxt3TUdZuQ7JUhHarHTVnDJxtbTtt4VsTWO1OlORq8NSCQoyi8TCRoCR8oD3QMJoZNHcwMFntSJGJoFF4ZthWvHUQxxpNeOPu6bA53DCa7SgcnQqxkIfXvzqN6toWbC4tDhlkA0CKTAS5iI9UOdWbEARBEImL2w18eaoV+SOV3s/YFagvT7VGVh2XifC73V2p41kq6LTqoNUtM+PEm3vr8eT8ArRZ7CjRqoPSTAFPtliKVIRkqf+QJ1Jw7nS58fX3rZhXNMqvNVAknRVqI0QMRXwzPeRiAcr1OX5Ch6NSpXin5gdcaLdBJhJApRDhd598y7lqresqLwlHZpoMG+YVYHQaBdlE4kKBdgxhV633nGz2vmRmjFVDKuJj/byJsDpcaOlgoJSJIBHx0dLBQCbmYdmsXAAX0+C4Xjp6rRpJYgEy1Yq+fiyCIAiC6BYWxuFdkfYVDNNp1XhxUREsjAMzczX4nCMFW6dVg8+DN3W8OEuFmyZlYMOuY9hTe3H/mbkarLlpIqwOJ1o7GDx200Ss23XUb7C/em4+Jo1Sor7NjPRkKZ5cUIAN7x+DmXGG9bk6rRp7v2/FrLx0TByphNHC4LsLHdB0KY+HundqI0QMVYwWT8mEr8igfweAdLx+5zT8YLDAYPEsRq26MR/P/fM4dh+/4N1Pp1Vj2dW5OG+yhLXPwz+YcGMBd3chgkgUKNCOEb4pM74vmTf21uPV0qlYvfNwkGriYl0O3qg+g19ePx5zJ41ERoqUczCh16qxYX4hnK7IafQEQRAE0d+kysXY1KUYXt6VOs6279r21WmsnpOPDfML8MiOQ6jy8Y1sDffZVovfYJ2dvL7nqnEQ8HlIkQqhlImw5t0j+PhYEwDggR/lYnbBCJTNGAOn243cYUl47J3DWPn2Ie/5S7QabC4txpKt+7yp5zzA7x50WjWW6HPAAw/PfXjcz3ezyuLPLJyEFW8d9Au2qY0QMdRgszjbzAzkYgEqZmkhEvCCRAblYgFunZaFlTsOBSj8a7DyxjzcMX0MzHYnJEI+zpusSEsS4bY/HsDTCycBQFBXgKWzcjGG2ukRAwAKtGOEb8oMq2RaU2/AG3dPxzMfHg+akWN/LspS4Yn3j2HN3Im40GHD9y1mrLk5Hx02J+wOF6RiAaQiPppMFowfkdLnz0UQBEEQ3cXucuG2admcK9qLdTlgXC48948TIWu4V9yQh3W7jgapjW/aXQudVo0n5hfg4bcP+dWDFoxUettfbi4txmPvHA5KJfdMYrvxxt3TYbW7oJDwsViXg3L9WFi7Bvo1Zww49IMRe+uC24WxyuIbFxVh46IiNHcw1EaIGJL4ZnGy6LVqPDZ3Iv7w2Sm/fUMr/DcD/ziGX92QB3ObBVKRAMNTpGhos6K5g8Hy7TXedn42hwuZaTIkiYVIU5CtEQMDCrRjhK84SlFmKjbtrsXPr81Fu9URUjWxurYF5bocbNpdi1/8yAGjxY4/ffE95haOxJTsVNz2xy9RlJWKuYUZmHnJMHqpEARBEAMCtwucA2v259Vz8vHxsSbvanQgv7o+L6zvtDpcQaJLrLiZXCzACKWUs14b8LTvKmu3QS4W4oPD5709un3ZXFqM3/zrJOfxrLI4tQ4ihiqhhM+qaluwftdRvHn3Ffjo6DlUVtXBzDi942IuWHu87/UDAIBtd07Df075T7ABnkm6uZNG4saCEWR3xICBAu0Y4SuO4nC58cCPcnF9/gicau4Mc9TFgUFnlwja+nkFcMGNsy0WFGWlYtmsXGSmykhRkSAIghgwuIGwgbIbgCZJjFsvz/ITTDpQ34bKqrqIyt0mS/B2uVjgLd1qtzg4jrqIzeFCeorAmz7O3le0kLI4MZQJ1+JuT20zytqtqKlvw4uLirB8e01EhX/f7WIhH8cbTX7bdVo1llG6ODEAoUA7RrDiKPtOtyFHrYDRzOAHgyWiqim7XSbmQyyQYN/3rSgYpURmmhwb5hVQegxBEAQx4PDtOx1q+6ulU/HcR8c5xdIiKXdzbU9TiLF6zgRsqa7Dw7PDtw9LlYkgFwlxWVZqUHqqRMiHOknS7esTxFAhUos7m+Niz/pyfU7UY2EAUMpEeOHHk9HUboPRYodcLIBCLESqXETjYWLAQYF2jFDKxXhyQSG+ONWC/55pQ+HoVDQYLBFVTWvOGFCSq8G359qRn6FEtloBPp+HA/VtuC5/OL1UCIIgiAGHIkJrHoVEiCffP8qZWs4HD08uKIBeq/YTKWPRa9VQiAXQadU4ca4dzyychAylFHweD5dmqaCUiyEWCEK2+9Jr1chUybB02wEsv/YSuOBfR67XqrHmpokhfTcpixNDGaOZgUwkCLldLhZgtEqGzaXFsDlcyEqT47zJGtKe2bEwAJTkapCeLIGS2tgSgwQKtGPED61m/PdMG4rHqPDYzsPIUitQc8aA75ra8djciVi/6winsurv/vUtls3KxbAkMWrOGJA/MgXgeZQY6SVDEARBDER4QNhJZh4Qpoa6GR12J8r1OUH7lWjVWKzPQSfjwM9KxmGkSoon/3HMK7zGXk8uFqCydCoAnl8XjxKtBmvnTcSv/3UCv1tUhJ/9aT+uKxiBcl0OAECdJIFEyEf5a19jzc0TAfinlJOyODGUOdtqRn2rGTKxACVajZ9tAR6721xajGc/PO435r02Lx0b5hdi1c5DQQr/i3U5WL69BiW5GjxLtkUMMijQjgENbWY0GC0YNywJj3W18VoxewIqq+q6VMePcSqrPvvhcayemw+r3QnG5UJ+RjIUIgFSZJQeQxAEQQxc3HBjcVfwWs0xsHYjfLvKDosdPPAwuzADZT6+87zJCh546LA64HC7sObdIyjKUgUJr5kZJ8q3fo3VcyZg5Y0TYLTYkSQVQCoS4Cd/+ALNHQwudDB4/ieTcfOmapRo1Vhz80TIRQLweDzkaBR+KeUAMFolw4gUKflnYkhyuqUTj3S155KLBdh213QA8Au2V82ZgJc/rQ1auf74eBNccOOhG/Kwggd0Wp1IVYggFvDRZmaw874ZGE62RQxCKNDuJUYzA6PVDh7PDalIgBWz8/CYSACny42Ni4rA5/Gw+/gF7D5+gfP4B380HgYzgxEpUkhlAoxMlfXxExAEQRBEbJEIBdj21Wm/PtrsJPO2r05j1Zz8sMerkyT47SeHg1bE5WIBVs+ZgKJsFdzg4U79WGiSxZyKxmbGiZU7Dnv7Zuu0ahRlqdDcwQDwKCQ/KuBjc2kxas4YcPOmahRnq6h1F0EEcN5kxaqAHtgulwu/umE87nfkosPqQFqSGAI+D4/sOMx5jt3HL+D2adlYsnUfSnI1eHJ+AVxuQDuM1PuJwQsF2r2kqcOKJLEQcpEALR1WpMilWPvuxd6dL98+Jezx7VY7RqtkkAj4GE5BNkEQBDEIsLtcuKtkLDZ9WhskdlZxdS4cLhdn6im7j93pQk29ARWztJiWnYbhqVI43W6I+HysffcwVvoM5jeXFoe9F5vDBZ1WjSX6HBz6weitHZWKBOABWLa9Buauzh/Uuosg/DlvsqK1k8GiadlYrB+LQz8YUDhKiTazHYcbjBiTJsfkTBUe3XkIt0/LDnsu1hbX3DSRsjeJIQEF2r3AaGYg4PFxvt2K+hYzpmSr8OhO/xn4SEqLKTIRbC4nstSKeN8uQRAEQfQJbjdgtbswpzDDb0X7vMkKq90Jt1uE+64eBxfcnKnl7VY7XlxUhLf2n8FNk0Zi7XueFHGunteRyEyTYeqYNPDAw966Vr/+2CW5Gm8LIjbYptZdBOGhvqUTKwNWsp9cUIAtVXW4s2QcijJV+KHNjEd3evZhyyxCMUajQFGWCk6Xi4JsYkgQPgokwmIw2/Hk+0eRppAgf6QS5002LNGPRcUsLeRijyIjqzrOBaucqhBRmxCCIAhi8CAR8PHnL79Hg9Hq93mD0Yo/f/k9xAI+lmzdh6IsFTaXFuOvP5uOv99zBVbckAeny400hQRbquvwP5dlYt2uI6iubUFRZqq3PrRilhabS4vx8u1TkJ4sRUkIP1ui1eDwWSMcLjderToVFKTvOdmMLdV1KNdfDBCodRdBeFayHw0IsgFgeIoUe2pboFKI8Kf/1GHiKCXKdTkRbVGvVaPRYMF/69uQSkE2MUSgFe1eYHM6cdv0bKx557CfKirbB3T59hpUVtXhxUVFAPwFYfRaNR6/uQACgOqyCYIgiEFFayeDn07PxpYq/9ZZrGp4q5mBmXFi0+5aaJLE+NvPrkCD0YqmdhukIgGsdk8f3odn53l9p83hglwswIuLirCl+uJ5WaVj8HjYc9JHYTxXgw3zCgAAZw0WzjpuAH4rcdS6iyA8tJkZ79hWLhagXJ+DosxUyMVCVJZNhVjIx63TsvHch8f99vOUcvir/bOddn77rxN4/OYCuF3hxRAJYrBAgXYPOdvSCbiBLVV1QS1K2EFBuT4Hm3bXepVLV83Jx4UOG9QKMayMAxIBD6MoZZwgCIIYZMglApisjpCq4WzWl1wswKulU7HqHf+yK7buusPq9H4mEfJRrs/hVBhfsnUfVs/Jx/3X5KKp3YbRKhmONJjAuFz44+ff4cfFWWHv1+ZwUesugujCaGbwQ5sFAEJObr1974yQtrhqzgTcf63HFnM0CkiFfNicLvxPcSZufeUL5GekYOOiIrI1YtBDgXYPaDJZYbY74HTzvOIQB+rbUFlV563x8p0hNzNOfFNvwHX5w3HH5r344P4SjE5TYHiKtD8fgyAIolecP3++W/srFAqkpKTE6W6IREIhFuLPX55A/kil19fxeDw0GK345Nh5rLlpIuZfmoGls3LB2F24/5pLsGqOEGIBHzaHEx02J7aUTcWwZDHkYgHMjBM1Zwy4Yqw6jML4Iby3TI+jjSbIRQKsfPsQ9F0132xgH4qxGgUN/AmiC1aZH4B3cuuCyYZ/PTgTDqfbq2Pg0U0weMe+gMcWH+lS+9++tx5lM8ZAIuTjp5v3evdhRQfJ3ojBDgXaPcDMOLB+1zG/lewSrQbb7pqOO7d+7X1B2RwuAJ6UmZU35uFfx86jJFeDNIWYgmyCIAYsdqsZ4PFRVFTUreNSVWk4/X0dBdtDAIvDif83fQwajRa/z0cqpbgsSwWby4kHrh2PVTsP+flSvVaNMl2OV5ysRKvxtueqrKqDfpzGu69vOiurIu5wunCswYhrJwyHXCxAVW0LHrkxHy6XO6TK+cxcDTKU1MOXIFhMVjtqzhhwTd4w3DBxOOYUjoBMJMSqnYf8emRzjX19WT+vAM99eBw56UlB20h0kBgKUKDdTYxmBqt3Hg5KF99T2ww33Kgsm4pbX/kSZsaJ0SoZXr9zGtIUYjS323DorBFPzC+gIJsgiAGNk7ECbheuXvFHJKuHR3WM1dSKf24oQ2dnJwXaQwE3IBXx8f6hxiBV8YqrtZDyBXhkx6EgX1pV2wI3LpZe7altBnjA6jkTsHLHYZjtnpUzrnRWwDPwL9WNwYuffOs9R6PRgqw0OSpmaQEe/Ou4tRrcd7UWZsYJpTy+XwlBDBRSpCJ8U9+KJxZMQoPBAvCAJ94/5hdkA9xjX5bRKhn+79+1uP9Hl2D+S9VB1yDRQWIoQIF2NzlnsgYNDFiqaltwr9WBcn0OvjljgEIsRJJYCB4PSFdK8PjNEzFaRZ6cIIjBgTQ5DTKlJvKOxJBDJOBj06e1QYrF7M+r5+aH9KWBbYL2nGzGo3Mm4L1lOgh5fJTkajA5MzWoPhTwDPxdcKMoS4WizFTv5+veO4LinDSsmjMBZ9sssDlcUMpEsNqdKH/taxRnqyh1nCC60CSJ8eSCSaiqbcauQ414eHZeUJDN4jv2ZSe9SnI1EAv5mD9lFD443OgXgAMkOkgMHSjQ7gbnTVa0Wx1h9zFa7JgxVo2bJ4+Exe5AfasF6ckSZCRLMIqCbIIghjhU1z00sNidqKk3oGKW1i+1m9UzabeE96Vs6RWL0WzH/77ypXclWyYSRFQRtzlc0GnVqDljwJ7aFpTpcnCquRP3/uWAt183m6JONaPEUKbBYIHRYofJYodSJkKyVAirw4WC0Uoo5WKYbc6wxxstdu/EVolWg19eNx4tHTaMSJHhmzMGv31LSHSQGEJQoN0NjFYGSdLwX5lEyIdQwIfd6cQPBiskQj5SpEJSFycIYkhDdd1DCyvj5EztZttfyiXhxckkQr7fz8kyT5qpmXFi+fYa/N9PLwt7PLtizQbT7GejVTJsLi1GzRmDN8hmoZpRYihyuqUTj/j0y5aLBXh3qQ7r3jvizTp5b5ku7DkkQj7kYiE2lxYjWy3Hra98ia3ll+P/bf4K84pG4fZp2QA86eQjUkgPgRg6UKAdJUYzAxGPjy9Pt6AkV+NX48XCzpxfO2E4/nW0CVPHpKG+1YyCUcp+uGOCIIjEgeq6hxYqhRi//vjbkKnjTy4ohE6rDtoOXPSlLCW5GjicLui1alTVtsDMOGF3uoKO8yVVJoLF7vQLplNlIvzz6PmQK+FUM0oMNRoMFr8gG/DoI6z1CbIBoMlkCykmyNprUWYqXquuw2Vj0jAhIwUquRh/vKMYJqsDKVIhVCQETAxB+JF3IQDAYLbD5nBh/fvH8MvrxkOvVfttZ9PQjjeYkCQR4NBZA9IUYpSMU9OLhSAIogu2rjua/6Qpaf19u0QPYZwuziAa8ATbNocTy67OhS7Al7LtuCqr6gB4fOvqufnYUnUKq+dO9PremjOGoGN9z5EkFWKZT5Ct16qRlSbHiUYT5zFUM0oMRYwWe5CdFmWmBuknrHjrINbOmxhy7Hu0wYjzJitKdTk4/IMRTy0oxMhUGfIyUnB5ThryMlJoLEwMSWhFO0rMdgfarU6YGSeWbP0aW8qm4j6rAwaLHRIhHzVnDHhjbz0emTMBm3afxOq5E6EQCzCMXiwEQRDEEKMjgp6JyeKAgA/MLczw1lNLRQLIxQKo5CL8qfxyyMQCfHD4HM4brJgzeRR++/EJLNblYMXsPFhsTiwsGoXH3vHvAlKSq8HK2Xm4o3KvN8guydXgqQWFGJ0mx9p5BbA5DuJzn6y0mVQzSgxBjGYGJktwuUSgPgLg6atdWrkXlWVTcaHdFjT2XT03H3anC4zDhXU3T8RI0iQiCAAUaEfF2VYzRAIBFF0+uLmDwf++8qVf/86izFTccukoONwuPHDtJcikmmyCIIiY0B0Bte6KrRHxQSEJP7xIkgghFfFR29Th/cztdqPuQgdGjNPgvM0GaZfgWf7tU/DLv32Dcr1HifxMqwUSIR/76luxWJ+DlTfmw2ixQykX4bzRAqfL7QmcZSKo5GJoksTeIHpkqgwbFxWhuYNBu9WOZKnIbztBDAUaDBaseOsgVt44IWhboD4Cy5k2C+a9VI1dFXqkysWobzVjxlg1fnLZaAjgBvh8DFdR/TVB+EKBdgSMZgZnDWa8tLsWq+bme2vKzIzTv3dnrgaP3zQRz35wAi/8eHI/3jFBEMTgoKcCagDgdIRXySXiS5JY4K2pDkSvVUMhFuCFf51AuX4shAI+2i12JMtEyFLLcaHdAnWyGP86eh4lWjUkQn6Qz/Vlc2kxKqvrUJSlwqbdtdhcWoyt//k+ZLsupZwCa2LoYjQzWPHWQew52Yxf+WgfsLBlGVylH5dlq+CEG2fazMhUydDJOCAVCZBO2ZsEwQkF2hFo7mCgkAixp7YFHx87j2VX5wKA3wtIp1Xjvqu0OFDfhsdvmkgOnCAIIgb0REDN+MMpfPa7n8PlCi+WRcQXq8uJDfMLsWrnIb9BvF6rxoYFhbC6nJg7eRSe+fB4kD9drMtBqlyCwz8YUarLwXmTNaxw2nmT1asurtOq0dRuo1RwgghBcwfjFfRd+voB/HnJND87rayqw+bSYvB5PD/hX51WjdIZYzBvUzWmZKXi0Tn5yEiRUpBNEGGgQDsCJqsdVrtnwPbSp9/h97cr/WrKJEI+mtptyFBKkJMmwwiqSyEIgogprIBaNFhNrXG+GyIaWtvtWL2zBi/9dAocTrd3xVoo4OHurfuwYUEBlm+vQbk+x8+fsm23di3TY928Aqx55zAKRiuxZu5ErN/lr4RcotVg9U35+OBwIza8fwyXZauwfl4BVHIRBdkEEQKTTxu7M20W1DV34qEb8vCIT2aJy+XCVZcMw0M3jEeTyQYAXttk7UzC5yEjjca8BBEOCrQjkCIVQSjwiLqYGSfuff0AyvU5fjN403PSoKJUNIIgCIIAAKTIRPi2qQM/+vXnnNuTpSIUZ6s408Fn5mqgVnh86vM/nozmDgadNjs2zC8E43Sh0+ZAslSEJKkQnTYHrswdhrmFI6nWmiCiICWgjZ3L7cbNm6o595WLBdhVoUen3QG9VoM5hRlIEguQIqPJLIKIhkHT3uull17CmDFjIJVKMW3aNOzduzcm59UkidFpc3pbGrB1Yku27sN9rx/Aluo6yCVCeuEQBEEQRBdKmSioFRCLXquGUibC0wsnYWauf6ZCoAK4Ui7GuPQkTMpUIVujQO7wZFyapcK49CQMT5Fi7LAk78/khwkiMpoksZ/dhWuVNyUrFXUtnXjuwxPITpNjQkYKMtUKsjWCiJJBEWi/+eabePDBB7FmzRocOHAAkydPxvXXX4+mpqZen1spF2NMmhyP31wQNGjQa9V4ckEh9QYkCIIgCB9GpsrwxIJCTr/5RFePXVYB/JMHr8TO+2bgkwevxMZFRchIlfXTXRPE4EcpF/tNclVW1WGxLofTVjfML8RYjYLskiB6yKBIHf/1r3+Nu+66C4sXLwYA/N///R/ef/99VFZW4uGHH+71+UekymA0M3hqQSE6GCfarXakSEVQKcQUZBMEQQwSutsaTKFQICUlJU53M/DJVivw7P9MhtFi97bSUspEGOkzYCcFcILoewLb3KXIRHj2fybDZLXDZHEgRSqkMS5BxIABH2gzDIP9+/dj5cqV3s/4fD6uvfZafPHFF5zH2Gw22Gw2788mkynidWgwQBDxpye2SRC9padtxJSpKuz96kskJydHfcxADs57Yp/syjVBEPEjVuPakSBbJYhYMuAD7ebmZjidTgwf7t/6Zfjw4Th+/DjnMU899RTWrl3bF7dHEEQ3INsk+oOetBHruPADdj+/FOPHj+/WtVJVaTj9fd2ADLbJPgkiMSHbJIjEZMAH2j1h5cqVePDBB70/m0wmZGZm9uMdEQQBkG0S/Uu324h1Mzi3mlrxzw1l6OzsHJCBNtknQSQmZJsEkZgM+EBbo9FAIBAE1dadP38eI0aM4DxGIpFAIpH0xe0RBNENyDaJgUZ3gnOW7taCO51OCASCbh0TjxR1sk+CSEzINgkiMRnwgbZYLMZll12GTz75BPPnzwcAuFwufPLJJ6ioqIjqHG63GwDVgxJEPElOTgaPx+vWMdHaZnt7OwDA3NoMp8MZ1bkthlbPMYZm8PnRNWBI5GMS/f7oGKDzQkOPasF5fAHcruj+rlmUqSocPnQwqmC7J7YJkO8kiL4gnr6TIIieE41t8tysNQ5g3nzzTZSWluIPf/gDLr/8cvz2t7/FX//6Vxw/fjyodpuLs2fPUooNQcQZo9HY7RU2sk2CiD89sU2A7JMg+gLynQSRmERjm4Mi0AaATZs24bnnnsO5c+dw6aWX4sUXX8S0adOiOtblcqGhoSHszARb73LmzJkBWVsXb+j7CQ99Pz2blQ+0zcHyPQ6W5wAGz7MMlucAuv8sPV3RjsZ39uR+iPDQ9xlbEv377KnvPHHiBPLz8xP2uQYKif73MVAYjN9jNLY54FPHWSoqKqJOFQ+Ez+dj9OjRUe2bkpIyaP5A4gF9P+Gh76d7hLLNwfI9DpbnAAbPswyW5wDi/yzd8Z19cT9DDfo+Y8tg+j75fD5GjRoFYHA9V39C32NsGGrfY/TFfwRBEARBEARBEARBRIQCbYIgCIIgCIIgCIKIIRRoR4lEIsGaNWuofUII6PsJD30/sWGwfI+D5TmAwfMsg+U5gMR7lkS7n4EOfZ+xZbB+n4P1ufoa+h5jw1D9HgeNGBpBEARBEARBEARBJAK0ok0QBEEQBEEQBEEQMYQCbYIgCIIgCIIgCIKIIRRoEwRBEARBEARBEEQMoUCbIAiCIAiCIAiCIGIIBdoA3G43TCYTSBeOIBILsk2CSFzIPgkiMSHbJIjEgAJtAO3t7VAqlWhvb+/vWyEIwgeyTYJIXMg+CSIxIdskiMSAAm2CIAiCIAiCIAiCiCEUaBMEQRAEQRAEQRBEDKFAmyAIgiAIgiAIgiBiCAXaBEEQBEEQBEEQBBFDKNAmCIIgCIIgCIIgiBgi7O8bIIjBitHMoLmDgclqR4pMBI1CDKVc3N+3RRAEB2SvBEEQBBF/hpK/pUCbIOJAg8GCFW8dxJ6Tzd7PZuZq8PTCSRiZKuvHOyMIIhCyV4IgCIKIP0PN31LqOEHEGKOZCXqJAMDnJ5vx8FsHYTQz/XRnBEEEQvZKEARBEPFnKPpbCrQJIsY0dzBBLxGWz082o7lj8L1ICGKgQvZKEARBEPFnKPpbSh0niBhjstrDbm+PsJ0giL6D7LVvqK+vR3Mz9wArGjQaDbKysmJ4RwRBEERfMhT9LQXaBBGGngg2pEhFYbcnR9hOEERsiMZ+yV7jT319PfLyJsBiMff4HDKZHMePH6NgmyAIYgDA5X+Hor+lQJsgQtBTwQZNkhgzczX4nCM9ZmauBpqkwamsSBCJRLT2S/Yaf5qbm2GxmDGtfA1SMsZ0+3hT4/f4qnItmpubKdAmCIJIcEL536duKRxy/pZqtAmCg94INijlYjy9cBJm5mr8Pp+Zq8EzCycN2hYGBJEodMd+yV77jpSMMUjLGt/t/3oSnBMEQRB9Tzj/+/i7R/DkgsIh5W9pRZsgOIhGsCHcC2FkqgwbFxWhuYNBu9WOZKkImqTB2yeQIBKJ7tov2StBEARB9J5w/vdfx5qw8sYJQ8rfUqBNEBzEQrBBKR+8Lw6CSGR6Yr9krwRBEATROyL5X5PFjrHDkoaMv6VAmyA4YAUb5GIByvU5KMpMhc3hglQkwIH6NqTIBp9gA0EMFlKkopC2W1lVNygFVwiCIAiiv2DFzxwuNyrLpnr9rZlx+u031PwvBdoEwYEmSYwfTUjH/16ehS3Vddi0u9a7Ta9V49bizH68O4IgwqFJEqOybCo27j7pZ7s6rRqVZVMHpeAKQRAEQfQHXOJnOq0aLy4qwvLtNd5ge7AKnoWDxNAIggOlXIzHb56ILdV1qK5t8dtWVduCR3YcCiuIRhBE//LS7tog262ubcFLn9aGOIIgCIIgiO4QSvysurYFW6rrUK7PATC4Bc/CQSvaBBECq90VNFBniUYQjSCI/qG5g8GeWm4xlj1kuwRBEAQRE8KJn1XXtuDRGydgwaWjBrXgWTgo0CaIEMRCEI0giL6HbJcgCIIg4k8kf8s4XMgfqeyju0k8KHWcIEKQEkGwYagJOhDEQIFslyAIgiDiD/nb8FCgTRAh0CSJMTNXw7ltKAo6EMRAgWyXIAiCIOIP+dvwUKBNECFQysV4euGkoBfIUBV0IIiBAtkuQRAEQcQf8rfhoRptggjDyFQZNi4qQnMHg3arHclS0ZAVdCCIgQTZLkEQBEHEH/K3oaFAmyAioJTTy4IgBiJkuwRBEAQRf8jfckOp4wRBEARBEARBEAQRQ2hFmyCIbmM0M2juYGCy2pEiE0GjoJlMgkgEyDYJgiAIonvEy3dSoE0QRLdoMFiw4q2D2HOy2fvZzFwNnl44CSNTZf14ZwQxtCHbJAiCIIjuEU/fSanjBBEFRjOD75o6UFPfhu8udMBoZvr7lvoFo5kJehkBwOcnm/HwWweH7PdC9C9kn2SbBEEQxMAhUfx2vH0nrWgTRAR6MtM1WNM3mzuYoJcRy+cnm9HcwQyK5yQGDqHs85mFkyAXCwalHXJBtkkQBEEMBH5oM+N0ixkGix1SkQCfHG/CiUYT1s4r6PPsq3j7Tgq0CSIMkWa6Ni4qCjLAwZy+abLaw25vj7CdIGJJKPvcd7oNp1vNeGl3LfbUDj475IJskyAIgkh0zraaseLtg6iubfF+ptOqsViXgzXvHMbzP57cp5PC8fadlDpOEGGIZqbLl8GevpkiFYXdnhxhO0HEklD2Wa7PwcbdJ/2CbGDw2CEXZJsEQRBEImM0M1gZEGQDQHVtC7ZU12F8RkrQuDrexNt30oo2QYTB6XJhc2kxbA4XpCIBDtS3obKqDmbGCSB4pitSYN5otOJUc+eATWPVJIkxM1eDzzmecWauBpqkgfU8xMAm1Ex0UWYqKqvqUDFLi6LM1CD7HYxp1GSbBEEQRKJy3mRFayeD/fWGkL65XJfT59lX8fadCb+i/dRTT2Hq1KlITk5Geno65s+fjxMnTvjtY7VasXTpUqjVaiQlJWHhwoU4f/58P90xMViob+nE+l1HsWTrPtz3+gGUv/Y1aurb8OKiIsjFAgDBM12RUlBONXdiwcv/wTUvfIZl22vQYLDE7f7jgVIuxtMLJ2Fmrsbvc7YmdrAFL0RiE2om2ul248VFRaipb+O0307b4EujJtskCIIgEpH6lk48+Nf/or7VHNY3O1zuPs++irfvTPgV7c8++wxLly7F1KlT4XA48Mgjj+C6667D0aNHoVAoAAAPPPAA3n//ffztb3+DUqlERUUFbrnlFlRXV/fz3RMDlfMmK1buOMSZ3gJ4UlMPnjEEzXRFSkGRCC/ObYWr805kRqbKsHFREZo7GLRb7UiWiqBJGnir88TAJ9RMdHaaHOt2HQ1pvxvmFfTZPfYlZJsEQRBEIuE7nl5xQx6e+fB4SN/86I0T+iX7Kp6+M+ED7Q8//NDv59deew3p6enYv38/Zs6cCaPRiM2bN2Pbtm2YNWsWAGDLli2YMGECvvzyS0yfPr0/bpsY4LR1MkEvApbq2hYsvUqL2y/PCjLCcCkoOq0aNWcMfp8NVDVgpZwG70T/w85EP/zWQT+bc7kR1n5tTldf3WKfQ7ZJEARBJAq+42nG4QrrmwV8Xr/5r3j5zoQPtAMxGo0AgLS0NADA/v37Ybfbce2113r3ycvLQ1ZWFr744gsKtIkeYbI6wm4XCfnI4FAuDjXwZxUVl2+vCTqG1IAJoudwzUS3dNrCHmOykM0RBEEQRLzxHU9f6Ajvmy1d+keDiQEVaLtcLvz85z+HTqdDQYEn9e/cuXMQi8VITU3123f48OE4d+4c53lsNhtstou/bJPJFLd7JgYmKdLwppEsCb09cOAvFQmw61Ajlm+v8Yqo+Z0rQdWA+6MXONkm0RMCZ6KZxvAr1olqc+HoD3sMhOyTIBITsk0iUfEdT4sF4aXBYuWbE8FfsgyoQHvp0qU4fPgwqqqqenWep556CmvXro3RXRGDEZVCDL1WjSqOFJcSrQZ8HvDdhY6Qxus78DeaGRw8Y+AMshNVDbi/eoGTbRKxQCkThbRfvVYNpWxgBdr9ZY+BkH0SRGJCtkkkKikyEV6/cxqMFjvSk6Uo0aqxh8M3x2o8nCj+kiXhVcdZKioqsGvXLnz66acYPXq09/MRI0aAYRgYDAa//c+fP48RI0ZwnmvlypUwGo3e/86cORPPWycGIMNTpHhyQSH0WrXf53qtGqW6MZjfDeXwgaYG3J+9wMk2iVgwMlWGJ0LY7xMLCvvF2faU/rTHQMg+CSIxIdskEhE26L391a9w3+sH8L+vfIH7rtaiRBuf8XAi+UuWhF/RdrvdWLZsGXbs2IF///vfyMnJ8dt+2WWXQSQS4ZNPPsHChQsBACdOnEB9fT2uuOIKznNKJBJIJJK43zsxsMlSK/DCTy5FWyeDdpsDdocL/znV4pcCHq1y+EBSA47UCzye4m1km0QsMJoZrN91FJdmqbBYlwObwwWJkI+aMwZs2HUUz/94ckLaHhf9aY+BkH0SRGJCtkkkGlxBr5lxYsnWfVg9Nx+r5k6AhXHGdDycSP6SJeED7aVLl2Lbtm145513kJyc7K27ViqVkMlkUCqVWLJkCR588EGkpaUhJSUFy5YtwxVXXEFCaESvGZ4ixfAUKb5r6sA1v/6Mc59ojXegqAFH6gVO4m1EotPcweDjY034+FhTyO0DwRYBskeCIAhi4BEq6DUzTqx8+xA+efBKXJqVEtNrJqK/TPhA+/e//z0A4KqrrvL7fMuWLSgrKwMA/OY3vwGfz8fChQths9lw/fXX4+WXX+7jOyUGM9EabyIJMLB0954i9QIfiEJSxNBiINtr4H3JxAJUzNKisqpuQIkpEgRBEEMDLl/aH0FvmlyMzaXFsDlckIoEOFDf5uc7+8NfJnyg7Xa7I+4jlUrx0ksv4aWXXuqDOyKGItEEn4kmwAD0TBQiXC/wRBVvIwhfBqq9Atw2q9eq8eKioqDOBWSPBEEQRH8Sypc+OmdC2ONiHfQ2GCxYtfMw9tT6t9ZlfWdxtqpf/OWAEUMjiP6EDT65mJmrQZJUmHACDD0VhRho4m0EEchAtFcgtM1W1bbgteo6lOsvapSQPRIEQRD9Sbhx5oF6Q1g/HMug13sftf73UV3bgi3VdVg9N7/f/GXCr2gTRCLABp8Pv3XQb6WXHex22hwJJ8DQG1GIgSTeRhCBDER7BcLbbFVtC1bNyce1eelkjwRBEES/E85nrd91FP9YXoLH3jnM6Ydj6b/C3Ud1bQsev2kiMvopU40CbYKIknDBZ019W9hj+0OAobf1MQNFvI0guBho9gpEtlmr3YlLs1R9dDcEQRAEEZpwPsvMOGGyMH2yaBPJd3baHDG9XnegQJsgukFg8Gk0M/iuqQMOlxuVZVODhBdY+kOAgUTNCMKDGwB4F39OVNtI1PsiCIIgCKB7Yp0KiahPFm0S2XdSoE0QPYRLAELHIVrUX4JFJGpGDGXCiZ0lqm0k6n0RBEEQRKKKdSay7yQxNILoAaEEIFjhBVa0qD8Fi0jUjBiqRBICBJCQtkE2SxAEQSQiiSzWmci+k1a0iZiSqH1pY00k4YVHb5yABZeO6nfBIhI1I8IxWO01GiHAcelJCWkbZLMEQRBEb4m1f090sc5E9Z0UaBMxI1H70saDSMILjMOF/JHKPrqb8JCoGcHFYLbXaIUAE9U2EvW+CIIgiMQnHv59IIh1JqLvpNRxIib0tGfzQCWRhRcIIhKD3V7JPgmCIIihSLz8O/nVnkGBNhEToknVjBZWybumvg3fXehIyEE/K7zARX8LLxBEJGJlr4lqq2SfBEEQxFDDaGbQaLTGbDzuC/nVnkGp40RM6G3PZpZI6S6JUlPKCi88/NZBP5XDH01Ix+M3T0RzB4NTzZ2Dqu6VGDzEwl4TOfU8lH2GE0aJ1bslUd5RBEEQxNCB9cmLLs8Ku1+04/FAeuJXu8t5kxVtnQxMVgdSZEKo5GIMT5H2+rz9CQXaRK9gB5Wx6CMdLt1lzTuHseamiVi541CfDewjDZgDhRdSZCKIBXw8/Hbf3SNBdIdY2Wuk1LSNi4r6JLgMZ6PdEUaJ1aRBIk8+EARBEIOT8yYrvm/uxKLLs5CVJg/b2zra8TiXb42n4Fh9SydW7jiE6toW72d6rRpPLihEllrR6/P3FxRoEz0m1n2kw6Wzjs9Iwcq3D2KPjwEC8RvYRztg9hVeMJoZVGyv6ffggyC4iKW9RpN6Hu+/9WhsNBphlFhNGiTK5ANBEAQxdGgwWLDi79/4jY9709s6km+Nh+DYeZM1KMgGPGrmj+w4hBd+cumAXdmmGm2iR8Sjj3S4dNaizNSgIJulNzUnXPRUSCKWdeoEEUtiba+xKhXpKbEUe4mV3ZL9EwRBEH2J1xdyBKg96W3dX0KpbZ1MUJDNUlXbgrbOges/aUWb6BHx6CMdTtHQ5nCFPTaWA/uertb1d/BBEKGItb32t/poLFfUY2W3ZP8EQRBEXxKpt/WK2XnIz0jBWI0CGUppRL/YX9lqJqujV9sTGVrRJnpENH2kx6UnhRQd4lIqDqdomCrru4F9TwfM/R18EEQoemOvLL5263K78dQthZCLBUH79YX6aCyD2ljZLdk/QRAE0VcYzQxaI6wwn2m14I299VEF2UD/TRinSMOv+0bansgM3Dsn+pWeDioj1X6EUjTMVssxM1fj97nv9u4M7COJnPX02diJgljcI0HEkt4GgVx2W5KrQWXZVJS/9rVffXdv1UejUe2OZVAbK7sl+ycIgiD6AtYnl80YE3a/VJmoWz45SRI+LIzXhLFKIYZeq0YVR/q4XquGSjFw/ScF2kS3MZoZuNxubC4tBo/HC1IuDjWojEYsKJyiYSzaCkQjoNTTAXNftD4giO7ABq1GC4Ptd01D9XctQUqkkYLAUHa752QzeAA+WF6CNjMTE/XRaEUIYxnUxspuyf4JgiCIeGM0M/js2wsomzEGIgEf2+6ahv9w+PaSXA3GpSdFLSLWYLBg3+k26LRqznrpeE4YD0+R4skFhXhkxyG/YJtVHR+oQmgABdpEN4mkXFycrQo5qIy29iOUomFv2wpEqwrcmwFzPFsfEER34LLVQCXSaP6mI9mtw+XGpVmqXt9vd1S7Yx3Uxspuyf4JgiCIeNJmtmPXwYagNlhcvj3aAJX1v/tPt+HFRUUA4Hf+vpgwzlIr8MJPLr3YR1sqhEpBfbSJIUQ45WI+j4cPlpcgVS4KaYixqP3oTVuB7og89GbA3J17jCZNliC6SyhbraptAY/HwztLdeDzeFH9TfdVzVZ3RVhiHdSGs9vu2Gk8Wp8QBEEQhNHMYPVO7jZYPPDw+p3TIBHyMaqrDVe0+Prf5dtrUK7PQbkuBzaHCxIhH9phScjwySrr7j1H6z+Hp0gHfGAdCAXaRNSEGwjv6VrZCmfY/S0WFG3AcN5khcHMwO0G3AAcLjfsLhdaOxl8d6EDMrEAcrEQMpEA7VYHjBYGcokQfB4PQj4P6gjBMvvSaTMzsDtdfum8JbkaPLWgEKPT5LF8dGKIEclW+TwexqUnRXWuvrLbngT0kYLas21mtFsdMFnsUMpESJIKMVrVPduKNp2dIAiCIOJJcwcTstXtntpmlOnGYIxa0e3JXl//a2ac2LS71m/7zvtmIBuKbt/vmVYzOmweH5wiE0HM52HznlO4dVr2kPGfFGgTUdPbla3+FguKFDAoZSLUt3Ti8feO4LZp2dhSXec3a6jTqrFYl4Plm/fisiwV7rt6HJZs3eetiWG3P/WPY1g7r4DzJRIp9X7PyWY8/PZBPLNwEkZ1MyAgCJZYrkL3ld3GOqA/3dKJR3YcCkqve2JBIbLV0Q0YupPOTsSfY8eO9fhYjUaDrKysGN4NQRBE3xLJtwPokU+Ox4R6KB+8YX4h3vjqNJaUjB0S/pMCbSJqemuI/S0WFClgkIgE+NXfv0FRliooyAYu1quU63OwaXctXHB7/+27vShLxTkID5d673veqtoWnG4xI0kiHBIvISL2xNJp9pXdxjKgP9tmDnLwgCe97tEdh/D0wklRrWz3V09Rwh+LsQUADz/96U97fA6ZTI7jx49RsE0QxIAlkm8frepeyjhLrCfUw/ngVTsP4akFhUPGf1KgTURNLAyxP8WCwgUMzy6cBIPVjuraFpTrPAGvXCxAuT4HRZmpsDlckIoEOFDfhuIu4afq2hY8PDsPxVkqmO1OKKVCpCulcDjdKNFq0Gi0wmixw+VyQ6UQo7nThrIZY/DQDePRYXUiWSrEeZMVK9466L0ui8Fi93sJUS030R1i7TT7wm5jGdC3Wx04ca4dm0uLkZ4iCbK3dqsDRnNkJ99fPUUJf+zmdgBuXHrbCgzLyev28abG7/FV5Vo0NzdToE0QxIAlkm8f0cP65lj5X7Zcq8PqwIM/Go8VN/DQaLRCJOB7OxRV1bagg3HCZndGPuEggAJtIiy+AZ5SJvLK7/e2DU5/BYmhAoZOxomGNgsAwOZwQS4W4MVFRdhSXedXq6LTqnHTpAzIxQKYGSeaTDa4Afz2X9/iD3dchlU7DwelyayfX4AX/nkC5fqxqAxYKddr1Xj9zum4/dUvYXO4vJ9LhHzvIJ5qRIlIcE3ExHoVui/sNlYBvcVmx+t3Tse6XUc47a3TxmDZ9mMRbai/dSUIf5LSs5CWNb6/b4MgCKJP6AvfztJb/8uVKs6WVFZsO4CirFRvmWS7xQ51kqTH9zqQoECbCAlXgPejCel46pZCWO2uAdm+huulBQAr/n4Q91+bC8AT5Jbrc0Kmj2/YdcwvZXxLdR1e+umUoCAb8KTJrN55GBvmF+DREEqR63cdwTMLJ3k/02nVqDljwIJLR1GNKBGRUBMxzyycNCBbTcUioNckS7EyRNra+l1H8OSCwqhsqL91JQiCIIihSX/49p7631Cp4oGlkey/k2WiIeM/+f19A0RiEirA+9exJqx8+xA0SWJcmqXCuPSkhB+4szQYLKjYXoNrfv0ZFrz8H1zzwmdYtr0G50xW7KlthljI9wa5V4xVB70wWPbUNqMoM9W7b3VtCxxOd8j9q2pbYLG7wm4fkSJFzRmDd/bvRKMJmiRxVDWixNAl3ETMircOAgDGpScNOFvtLZ2MM6y9dXYJGEayITadbmauxu/zvtKVIAiCIIYeA823t1sdIX1udW0LijJTvf+eMVY9pDSIaEWb4MQ3wOOqVTaY7UFGwq4Wd7fdVV8Q7qVV2pUy3mi0YrEuB9u+Og39OA3XafxYrMvB8u01AACTJUItZ4TtnYzDW/v95t56rJtXAKVcjFPNneHPSzWiQ5rAiZhAW200WQEg6v7QSRIhOm0OGC0DWwsgoj362E0kG+pPXQmCIAhiaGE0M2g0WnHbtCz8/NpLIBIE1zlHEhLrS12fH9rMEX2ub2mkWMhH5hBqYUuBNsEJKwIUqla5pGtFh61vDNW2KlK7q74i3Mowi5DPw7LtNSjX5yBJym0abCAzQilFfasZm26bggP1bVDKI9RyyiLXeooFfCy4dBQ0+hzvC5FqRIlw+Ip1hbLVUPX8XDar16pR1jWBZGacA1YLIEUmCilmWFlV52c30dhQf+pKEARBEEODcGNp3zrnTlvowLavdH2MZgZN7Ta0djJIkYlQMUuLyqo6b8tbXyTCiwnUCsnQCj3jkjq+bt06mM3moM8tFgvWrVsXj0sSMYYN8ELVKu/pqm80mpmwbau2VNdhfEaKd9/uYDQz+K6pAzX1bfjuQke3j/clnHpwzRkDSnI1qDljQFFWKjbtrsWHR85Bp1X77ccGMjX1bZjzYhXu/csBlL/2Nf5b3waJkI9r8oZxnl+vVUMm4kMfcD7f7WkK7lR8tkaUC6oRJXwnYkLZ6uc+tsoSymarumy2XJ8T8thIxNJue0qyWIDNpcWoqW/Dkq37cN/rHlutqW/D5tJiJIsFAMiGCIIgiMQg0li6XJ/j/bdSFjpL7bNvL6Bsxhi8fPsUVJZNRcUsLfadbuvRODwUbCnmj37zOf73lS8x+3d78N/6Nry4qAjyLv/KwpZZAp7xbnKIhazBSlwC7bVr16KjoyPoc7PZjLVr18bjkkSMYQO8oszUkHUXbH1juNVitjaju/XEoeqpGwyWHj1PuJXhyqo6rJ9XgOONJizW5UCnVaOyqs77b5ZQgYynL+BhrLlpYlAw7VEdL0RlVR02zC/k3P7kgkIMD9GSgWpEiXD4TsREY6ss0dhsqGPDEWu77SkCuPHyp7Wcwiwv//s7fHGqxZuVQzZEEARB9DfR+uXq2hYwThfnfm1mO3YdbAiaYH5xURH2nW6Lia5PuIn613wm6oGLq/GVVXXQa9V4YkEhRquGTto4EKfUcbfbDR6PF/T5N998g7S0tHhckogxbIB3rNEUdr92qx3uCOdiazOirSeOh9I2G5DsO90WlE563mSFSi7CCz+ejKZ2G1bPyYcbgIVxYMO8AtidbpisdigkQr+UXF+quwSWNswvgMXuQrvFjmSZCAqxAC6XG7+4ztOS5qkFhehgnGi32pEiFUGlEIcMslmoRpQIhW/vS98aKC587S9Sf+jAc0Vju72121jWlLXb3dgTSszwZDNW3jgBl+eokTHAUuIJgiCIwUl3/HKnzRG03WhmsJqju42v8ncsdH3CTQhU1bbg0Tn5mJmrgVImgkjAR2unDW/dOwPJUuGQC7KBGAfaKpUKPB4PPB4Pl1xyiV+w7XQ60dHRgXvuuSeWlyTiyMhUGacx+xJNfSNbmxFtPXE0StvdHYAr5WI8s3ASTreasXH3yaB686suGQa5WAA+j4d2xg65RIgkqQhuAMNTJLhkRDJq6tvCXqOuuRP3vX4AgGel+ulbJmF0l+BDYBAxfngylHKxN802UnBBNaJEKNiJmEajNex+vvYXqfbft54q8NhQ9MZuY11T1smEf2+dN1oxJSu12+clCIIgiHjQHb/M5ZObO5iQE8zVtS0o1+X0StfnbJsZ7VZHROGz71s6ce9fPGPhklwNnl04aUhPasc00P7tb38Lt9uN8vJyrF27Fkql0rtNLBZjzJgxuOKKK7p1zs8//xzPPfcc9u/fj8bGRuzYsQPz58/3bi8rK8PWrVv9jrn++uvx4Ycf9upZAulLBb9EIj1ZElUf2VD7sLUZ3amFjDSr19MZOblYgJd2B6eT7j/dhtOtZry0uxZ7akOLuUV6CWalybHjvhkQC/iw2J2wOV0wmhl0Mk7OIGLD/AKs23UUHx9r8vt8IIpPEf0L+y6KtudzuP7QvvVUXMeGoqd2G48Mlki2mqGU4lRzJ1JkzJB5lxMEQRCJS7R+OZRPjuSD2Wv0hNMtnd4+2ZtLi8Pum6NR4MP7S8DnA8OTpUPev8Y00C4tLQUA5OTkYMaMGRCJeq+I3NnZicmTJ6O8vBy33HIL5z433HADtmzZ4v1ZIpH0+rq+9JWCXyLim5r6ecDz+9Y3cu3DBqpvdLWripZ4KW17ZvuCX2Dl+hxs3H0yZLpNUZYKD791EE8vnAS9Vo0qjhlDvVaNFKkQj+445Dej+NQthfjHwcag635+shmP7DiES7NUfoF2b4ILYmgTra2G29dXdTzUsaHoqd3GI4NF0iU+GMpW7U4XFrz8HwBD511OEARBJC6h/DI7ll6+vSakTzaaGchEgsBT+jFaJevRuPJsm9kbZAMeAWGdVs2pCaPTqsE4XHj+oxN4mjRQAMSpRvvKK6+Ey+XCt99+i6amJrhc/vV+M2fOjPpcs2fPxuzZs8PuI5FIMGLEiB7dayTisdoy0IimRth3H6PFDplYALvThdYOBnkZKbjxxT0ozlZFNaANN6vXG5XgULN9RZmpYWuvy3U52LS7Fu1WO8p0OXADfi8YnVaNh27Iw1enWlCmy8GiadneVkIZKVLO4B7w1LIs1uUEfd7T4IIgulPPz+57zmTF2TYLeDwe3G43BDweNi4qwmiVDCNSop+N7qndxiODpcPmCGmrZbocCAUXy5qG0rucIAiCSFwCfbhCIoRYwIfRwuC9Cj2nP2cXAydnpoYMgGfmajAigh5QIOdNVrR1MnC63X7nrKyqw4uLigAE+9fFuhw0Gq3kV32IS6D95Zdf4rbbbsPp06fhdvtLZfF4PDidwT3WesO///1vpKenQ6VSYdasWdiwYQPUau5WSgBgs9lgs9m8P5tMoQW/4rHaMhCJpkaY3cdoZvCLv32DvIwUFGWmIj8jxdtves07h/H8jyeHPVd3Vua6Q6gVt0giUux2o8WB5V19tst1ObA5XJAI+Tj0gxEykQA7v2kIeuncNCkDcrGAs69guGvHQrBiINId2yS46U49v9XhQksH4xUGrDlj8PbBnJmrwcYuZxrtdXtit/HIYDFZ7Jy2WnPGgOXba/Da4ql++w+ld3lvIPskiMSEbHPwwO3DFZz7+rbzYpwu3DBxBA6eNWDD+8e8486ejJ3rWzqxsmsV++Xbp/htMzNOP/8qFwthZhxe/8qOG8iveohLoH3PPfeguLgY77//PjIyMjgVyGPFDTfcgFtuuQU5OTn47rvv8Mgjj2D27Nn44osvIBBwp1E89dRTUbcZi1e98GCmpZPBrZdnYUt1nd9KMTvb1dIZ2fB6qrQdrpY+1IpboPBTIOz2FKkQZsYZtPpdMUuLde8d4Uw937DrGMr1OSFXzENduzeCFQOZ7tgm0TsaDBas+Ps3fqUOOq0aLy4qwvLtNT1ykpHslss+45HBkiIVcdqq7/ZA6F0eGbJPgkhMyDaHJmw7L9/xZ4lWjZ336VDX0onsNDkylN2rkz5vsmLljkOoqTegYpYWmWkyvHz7FG+mJjsZz/rXzaXFWLJ1H4BgjRfyq3EKtE+ePIm///3v0Gq18Ti9H7feeqv334WFhZg0aRLGjRuHf//737jmmms4j1m5ciUefPBB788mkwmZmZmc+8arXngw43C5OftNsz8/ftPEqM7TnZU5o5lBm9mO1Tv9a6R96y9Drbg1tdtQkqvhzFzwFXNTKbhbhGWmyUMO6PfUNuOeq8ZxbtcHvJB877mn6fEDne7YJtFzvCUxYdqAsOUS3SWU3Z5tNWPl2wc57fOZhZOwIgYZLGwgLxLww9aQiQXBE1z0Lo8M2SdBJCZkm0OPUO289tS2YO2uIyjKUmF4sqTbPrTNzODynDSsmTsR63cdCVowYyfjzYzTL7D2rSVnIb8ap0B72rRpqK2t7ZNAO5CxY8dCo9GgtrY2ZKAtkUiiFkyLV73wYIQd5NqdLs4BLuAZyDtdkTpvd48GgwWffXshaFYPCK6/DLXiduUlw0IKULy5tx7PLJyE4SlSzhZhgWk1gQj5vKBAnlUdX7/rqN++JbkarLl5Ilo6GQAYcik33bFNomcYzQwajdaQJTGsLgEQOyf5Q5sZK94+GNY+e9sr3le08g//7zKv/gFnDZnJ4ncsvcujg+yTIBITss2hhdePx6idV6PBAqvdiSfeP4pf3ZCHYUkSrN3FnakJeCbjv6lvw7p5BahvNWNzabE3ddw3ZZ38apwC7WXLluEXv/gFzp07h8LCwiD18UmTJsXjsgCAs2fPoqWlBRkZGTE5X7zqhQcTgavJkQLPUPXKPb32ircOomzGmJDBfWAKLNeKm1IOPzE3uVgAAZ8HAZ/nV1PO1SIsUuq5QiLEhvkFcDjdQUHE8z+ejOYOBgYLA5vdhf+casFNG6u8NbKkhkzEEnZVedG07LD72RyumDlJo5nB6RZzRPscl57U4/dpoGilkM/DsjA12ptuu/iOonc5QRAEMVCI1o8D0bXzOt3SieraZrx/qBFFWSps2HUUZbqcsAtmj87JR1FmKjbuPomfX3sJVu08TDFSCOISaC9cuBAAUF5e7v2MVbTtrhhaR0cHamsvpi3U1dXhv//9L9LS0pCWloa1a9di4cKFGDFiBL777js89NBD0Gq1uP7662P2PD2tFx4KcK0mRwo85RIBjObYCCSwYnWLLs8Ku180KbDRpKo3dzDYX9+Gillab+p4erIUJVo158xiiVaNY40mXJc/nPPc7GePv3dkSCvbE/HHd1W5jEPt3pdUmShmTtIzkRRfrYvmDgb7T1+0yzSFGJdlqThLNkq0auSo5dh53wx6lxMEQRADhrOt0fvxaNp5NRgseGTHIdylH4uiLBWunzgcm3bXRgziO6wOjFErsOamiVDKxRQjhSEugXZdXV3MzrVv3z5cffXV3p/ZGpTS0lL8/ve/x8GDB7F161YYDAaMHDkS1113HdavXx/zFJru1AsPZnzFjNIUYqzacRhlOv/V5Eg99nYdbMTBM4aYrNayYnWRgvuepMCyz9phsyNVLgbjcMFosePFRUV+Qm9ysQCbS4sB8Pxaeem0aiydlYsxafKwfzukbE/EmkDRsSSJ0G9VOZyNluRqMC49CcO72QokFCarPS726UuHzd8u5WIBXlxUBDfcfr20S7QalOrGwA3g0ixVr65JEARBEPHE15enykRoNFqj8uPRtPM6b7LCaLGjpt6AjFQpaqrakJ+RAiDymFqtEGNcelLQPQaKEBNxCrSzsyOnM0TLVVddFdQizJePPvooZtciwuNbAwl4lAb31DZj0TT/1eRIPfbYGo5YrNayYnWRXjjdTYFln3X/6Ta8uKgIz350AtW1LXi3Qhck9GZmnFiydR9WzZmAlTdOQIfNjiSJEAqxEKlyUcTnI2V7IpYE2ikAbLtzmt+qcjgbXXq1FtIITrY7pEhF+OR4U9jAvrcp6ilSkddGAf/2I/depYVIwEd71+Tg7a9+hW13TuvV9QiCIAginnCNuX1bwoby49GkbbPtu26flo1yfQ427Drqp88S7Ziaa7xBZY/+xCXQ/tOf/hR2+x133BGPyxJxJLAGErjYAzpw5iuwx55CIkSnzREklBCL1VpWrK43L5xwz1oxS+sXWDMObqE3M+PEIzsO4+/3XIEUmQh5I1Kivh4p2xOxgstOAcBg8V9VDrRRj3q+DB8dOY/y177GexX6mM1Ia5LEONFo4hQn02vVeGpBYa+u5ZmVdwTZJdt+ZNPuWvz9niuwZOs+bC4thplxQiGJi+sjCIIgiF4TaswdyY+P1SgitvNi23exgXVRZqo3Q5MNsKMZU4cab1DZoz9xGW3cf//9fj/b7XaYzWaIxWLI5XIKtAcgXOnNrMFzzXyxg9ySXA3KZowBAORnpGDTbVP8+vD1drXWV6zO94UDeOpTRqR0r38g4P+svi8gALjQYQt7rMlq7/bqHCnbE7EiVBkCKwTma6e+fTBLtBpcNsaTSr1xUZFH9f5CR0xSwJRyMdbOK8Cadw6jKEvlHRCkykTIVssxSiXv1fnbOpkgFfFALnTYvG1IQrX3IgiCIIhEIFB3hG0l+9GRc6H9eK4Gm6IIbts6Gb/086LMVO+2iwF2XcQxNZU9RkdcAu22tragz06ePIl7770Xv/rVr+JxSSLOcKU3RzPztX5+Ada+dwS7j1/wfu7bhy8Wq7WBYnUpMhEUEiE6rA6cau5EiozpVsDg+6y+aToAIg7QhyVLYIog/BQIKdsTsSJUGULNGQOONhhDrir/8vrxaO1k8GrVKb+JpVilgI1MlXkV9kOJpfS0zstkdUS0yxSpCIt1Odj21Wks1uXAaGEAKHr1TARBEAQRDwJ1RwCgYpYWx8L48e5kh7Fp6DKRAJlpMsjFApgZJ+cq+ahUGecqOZU9Rkef5c/l5ubi6aefxk9/+lMcP368ry5L9BCuQe9rZVNhtjshFQlwoL4Nb+ytx9MLJyHUzFeqXIxH3z7kF2QDF18Oq+fmx2y11lesrsFgwS//9k2Pa0Z8U7kD0+LDikhp1fjkWBNumjSy2/dPyvZETzGaGTS122Cw2KEQC/BehR67T5zHHz475S3TYCfD3thb77eqrJSJkCwVoqr2AqprWyL2oe8N4QQle1PnlSIV4vOTF8LWgA9LlqChzYL8kUos316D9yr0vXoWgiAIgohEdyaQffeViwVoMllRU2/wbmf9+PavTgf58ew0OUanRc4OazBY8MT7R/265JRo1agsLUb51n3eYJsN7mfmakL6fyp7jI4+LVQTCoVoaGjoy0sSPYBr0KvXqlGmy8Ev//YNzIwTOq3auwr7i+vG4/GbJqLT5vALEL9r6sDHx5s4r1Fd24LH5ubHPJAMVzOy4q2DWDdvImwOF8w2B5Rysd9Lj33JGS0Mtt81DdXfteBwg9FvAB9ORKpUl4M399ZjcVeqfHchZXuiuzQYLFjx94NBavcVV2sxaVQqlm474HWcb+6txxMLCtFhdaDdaodMLMCBegPW7zqKjYuK8OyH33JeI94pYEYzE/QM7HUffusg1s8rQKuZ8aqnd9ocMFouDlrSFOKws/y/vG485r9U7Z10oHIMgiAIIt50ZwKZa1/f7M/A1ebZBSNwusUcsQTLT7VcLsJjOw8HtaL1/MzDqjkT8MiOw373Gi6rksoeoyMugfa7777r97Pb7UZjYyM2bdoEnU4Xj0sSMSJUoFpV2wI3gHJ9DjbtrvUOZn9x3XhcdckwZHCsOkVKK+m0OfFdU0dMWwKEqxnZc7IZDQYrbn/1K+9n7EuPB+AhjsmFcn0OJo1KBeAZwLMvutVz8/HI7AmobzNDLPDUv765tx7r5hVQsEz0CaECVNY25xRmeO11Zq4G6+YVYHiKFMN9dPpGpEhx+Zg0T012GAJTwGLZzuOcyRr0DCyfn2xG7YUOLNm6D8DFCT924MHa7+M3TcTj7x0JqgFXKcT4f5u/8guyqRyDIAiCiCfdEQoLtS/ry1k/DlysyZ6ZOwzjhyeHzXzk7hQUnPUFAHtqm/GL68bjo5+XwMI4o8qqpLLH6IhLoD1//ny/n3k8HoYNG4ZZs2bhhRdeiMcliRgRLlD1lf5nf378pomcQTYApMnF3joQNt2cFUEDAKvdiVt+/x/v/rGoB40U3BsD6qfZle4bC0ZwTi7weDw8NjcfT84vBON0+a3aA4BUJEC71Y4Fl46CRp9DLxaiz2juYEIGqKytTslSYW5hBsyMA2a7E0az/8q0N4uiqSPkdeRiAVRdGSomqx0KsRD769uwftdRvwC2J7ZrNDM42xZeyMxXJyFwws930PLkLZPQ1snAZHVglFQIlUIMqZCPN+++gsoxCIIgiD6jO0JhTe22qMfdLL59rLk4b7Jixd+/8QusAzWHAnG6XRg/IjXsPoFQ2WNk4hJou1zhf5lE4hIpUA001E6bg3O/BoMFq3YeDkppZdNgpmSl4j+nYl8PGqlmJLDmGvCsdJeFSPfec7IZfB4P2Rpu4SS2xUFzB9Mj4TWC6CnR2OoPBot3NRgIHRCHSgGTiwWoLJsa1pbNjLPHttvcEX4lHQi22cCBBztoGZeehOEpUr99jWbP+d0AwIv6tgiCIAiix0QrFNZgsKC+1Rx2X8bpP+6OlJb9Q5sZBrM9aPWaa/zrS6qse+PWwMy2HI2Cxr4cxL1G2+12A/CsahOJT3cDVa5+tN40mBApravn5mNYsgTLt9cEHdvdetBAQ0+SCkPWjLDtfbgIN9MXTjmxNyJOBNEbejKpFCogDpUCtnpuPl7aXRvSln1T2rhsN1KKuclqDyswGMpmA+2Vy0bJNgmCIIj+IBqhMHasHGqhh2VYksT770hp2WdbzVjx9kHcPi07aFs4X9vdmmryr9ETt2aif/rTn1BYWAiZTAaZTIZJkybhz3/+c7wuR/QCo5nBd00dqKlvg1DAw8xcDed+gYPeEq0GUo7BfKT086LMVO9KGBfRtgRoMFhQsb0G1/z6Myx4+T+45oXPsGrHIWyYXxD0DCVaDRbrclBZVcd5rnAzfaGUEyPV4LCraQQRKwJttSSMrTaZrEhPlqJilhZyscC7jQ2IA2FTwD558ErsvG8GPnnwShRnq8Kmp/v23wT8bZfLPpdtr0GD4WKqeIpUhMqqOizW5aBEqw56hlA2G2ivgTZKtkkQBEH0F2yWGBczczVIkgrRaLJiz8lmbwDMhU6rhloh9vrkjYuKQpZrGs0MVr59ENW1LZxjWtbXBl6rpJs11eRfu0dcVrR//etfY/Xq1aioqPCKn1VVVeGee+5Bc3MzHnjggXhclugBgbNSbKqoG+BUHWdXoT0q22OwdtdRrJtXgJGpMu/qVURhJZsjZJANRNcSIJSh/+uYR+X8uR9Phslih8Fih1TEh0wkxNP/OMp53RKtGudNVs7rhJvl604NDkH0Fi5b3VI2FQCClEorrs6F1e7E/77yBYqyUv3SvAF4bPRCR8gyBzbVuj1CT/jAlWXWdqMVgtEkiVGcrcLy7TV44+7pWNzBQCjgQaOQ4JszbZwTcoETflw2SrZJEARB9BfhhMI2zC/AMx8cw62Xe1adQ3WzKenqZtNutePSLFXIa7Fjb8bpxOQsFcp0OUhTiFGi1fhNlLNivqvmTMAD116CpnYblF0p36GCdy7Iv3aPuATaGzduxO9//3vccccd3s9uvvlmTJw4EY8//jgF2gkC12DYzDhR/trXWD03H4/NzYfRYofJ6oAmSYxOmwPP/3gyJEKPyjY7CGYcB/HULYV4+O1D2HOyGZtLi8NeN1kixLY7p3UFwf4iadGmrwQaulwsQLk+B0WZqXC43DAzDqx776j3JSMXCzzCbE53UFCyWJ8DHnhBKTWRUnSircEhiN4SylYXv/Y11t48Eavn5MNo9Uwqud3ApyeavH20udK82612/OQPX/ilevkG8pokMZ6JIgXMd9bc13ajdcS+g5FGoxUCPg9/+OwUauoNeHFREYqyUoPadflO+IWyUbJNgiAIoj/hEgpLkgqx7r0j+NmV49Bu9Wgc+bbtYrtmSIR8DEuW4NZXvsR7FfqQ12D99nmjFS//9DLU1Ldh0+5ayMUCvLioCG64UeXjQ4uyUpGeIsUdlXsxJSsVTywo7HaqN/nX7hGXQLuxsREzZswI+nzGjBlobGyMxyWJHuA7GPYNVFmVcLGAj9z0JCzbXoPSGWP8RJV8+fxkM860mjE5MxVlM8ZAJODjjbunodPmBI/Hg9XuhEIshMPlglwsQEsnA5vDhW/Pt4PHA2aMVePK3GGQiQVQ+KS4cuG7al5ZNhWHfjBAyOdh5iXD0GSygcfjQcgH1u86GjSTt2TrPqyem4/7r8lFU7vNO2FQsc0zaC/X5+Dh2XloMtmQqZJjeIokqMe2X62pLHjl3fd7tLvc+C7MqmE8iWX7JaL/MZjtKJsxBosuzwqanPrV3w/ikwevRJpcjGt+/Rnn8b4CYr4rwuwK8/M/nozPvr2AshljsHhGDrTpCnTYnDBZ7Hh/uR7nTVYcP2fC+OEp3vfDOaMFAh7PO7GW2dXH02hmYHM48fLtUzi7DQBAp83u9ze6ak4+JEI+1u464g2sfQceALyTAQIeDxsXFQXZqC8pUhEyVTK8dPsUCAV8tHf13bY7XVj6+oGosmYIgiAIojd4O3vA4xsbjVb879QsCLrGxrPyhmH38Qvetl0sJVoNJmelojhbFXLxqdFggdXuxKq5eZAJhehknFg+Kxer5uTD7nThl3/9BtcVjMC9V2nhcruhSZJAIuDjQocNf/vZFVDKRRgdov92OHzrz7n8bFKEcfxQIy6BtlarxV//+lc88sgjfp+/+eabyM3NjccliR7AzkqxM19bqutQWVXnDRRrL3QgUyXHU7cU4uT5CO1/FOKgmbQt1XWorm0J+pmlRKvBfVePw5Kt+7yDcJ1WjWWzcpGdJg9KZeFMcy+dipc+PYnnPvrW77ylujH48lSr3+DezDix8u1DeP3Oabjv9QNBz1FT34ZRSil0Wg2y1BdVxkOJPjy5oBA/mpDuTVf3fU7fF2ZfC0SQSMXgwqPgf8hPQZRV/X74rYO49fIs2BxOdNicqCybyhnYAp40b7bu2VeIcN/pNnTaHNh1sAEnzrXj9TunY+WOQ0EryY/fPBG3vvKlt767JFeDiqu1WPza1zAzTm/ZSaB4WolWjZ1LdfjgcCP+8NkpAECKTIyK7TV+f6MluRqUzrhot4EDj7/fcwWWbN0HvVaNJxcU+tloIJokMf68ZBoe3Rn8HH9eMg0qOQXaBEEQRN/ANS6blTcMq+fk484SKwzmixmeRxuMWHFDHp7/6ETIrMozLZ1oMFrxxt7TWH7tJZw++w93XIY7Nu/Fpt21eP3OaZCK+DjdbMaIVCkyUqQ9Xnxh68/rmjvxpyWXY9XOw0HXfmJBIbLD+OihRFwC7bVr1+J///d/8fnnn3trtKurq/HJJ5/gr3/9azwuSfQAdlaqXJ+DLdV13nRNrkBx7byJkIsFnDXO5focbNh11C9F1TeoDvyZZU9tM1xw+6W0svvMnTQSNxaM8JsJDHxJletzsPHTk1Gd1xcBPzhNvETreUYBD34D+HC1po/sOISnbimEzeHC5yebQz5nLNqWRUu0tbHEwOCigr//3xQrdvJq6VQ899Fxv7/zwNZbLJlpMhRlqYI+L9fn4LF3PI5yc2kx1vmsKrNU1bbg8XeP4JmFk7yZLXtONsPlvmhn5focbNzNZY8tWPveEcwpzMCLi4rQ1slgdUC7MK7zBeJyu/Hh/SVQKcRBbbwC6WScQUE2+xyrdh7Cs/8zGcruT+QTBEEQRLfgGpfJxQLcNi0bq945HDQW/cX148HjAc//eDLneK3BYMGXp1rw7jcN+NUNeUGBLuDxdat3HsZLt0/BzZuqIRHycbbFgkaTFUVZqb0aB7IlX0aLPeS1H93h8bO0uBMn1fGFCxfiq6++gkajwc6dO7Fz505oNBrs3bsXCxYsiMcliR7AzkoVZXrqIMMFimveOYLVc/M5zzNjrNovECjKTEVNvQEVs7TYXFqM6/KHc7YTALiVi6trW5CeLPFTRuaq+WTvO9rzstjsLpTrcvDeMh223zUdu5bpUaYbg5/84Qs43f7Kzo0mKyZnpvqpNrN8frIZVrvLq9R8Y8GIkPcTSuk51kRTG0sMHML9PvNHKvHCR8eD/uaqa1uwpdqTmcJSkqvBR0fOY9Pu2qDJsqLMVOzvsteMVFnIv+Gq2hakp0j8PvO1s0j2ODxFiteq6zBptDIqJXO5WOB9h7x8+xSkSEXIUEojBtkAYLTYwz6HMYLIG0EQBEH0FjZdfNHlWagsm+rtAhJuAer5j45DKeMu92swWNDWySBnWBL21LZAKOCH9XVCgSfMk4oE+GPVKVx1ybCYLLawATT52cjErY/2ZZddhr/85S/xOj0RA9hZqWONJgCegTLXShLgCdIenTMhqEf1zFwNxAFtBBwut9/K+Mu3Twl7H1w9rG0Ol5+gApf4Qrje16G2/2hCOoYli/HEP475vSB0WjVeum0KJAJ+UEprqBVCwCP6MC49CUq5J3U+HH0hEEEiFYOLcL/PcPbqW5PNljmsfe8IpxaDXMT32mt+RkrY++mwBme0sHYWjT1W1bbA1CUAE26/3pZhRPo7JzsgCIIg4glXujg7nuTzeCH9d1VtCzqsDgz3ccdGM4OmdhvqW81IlorgcrkBRO4M0mGx49oJ6VBKhTHPaOywhffl5Gc9xC3QBoCmpiY0NTXB5fIfgE2aNCmelyW6wchUGTq7jCXSQNnCOIMUFDVJYu8qKTuIHzdMgTXvXkw/DdejOtR2iZDvJ1iUwiFeFOm8gWJlM3M1ePzmiXj4reCU0uraFvB5PNxYmBG0gsil2swS6R5D7RsvEuEeiNgR7vcZyV6TpSJ88uCV0CR5ZsbXzSvA6VYzNu4+6dVSKNfnYMGlo/DSu4f9gvNQJEmDMztYO4zWziMJHiplol6XYaRwCBV2ZztBEARB9JRQZXysT/vZzHFhj/cNUtmAff/pNpTrc3D9xOGwMC5Ulk2N6MuSZSKsmZuPzBjXSxvNDOxRjEGIOKWO79+/HwUFBcjIyMCkSZNw6aWXev8rKiqKxyWJXpCeLMHMXE3EgXKyVASlXIxx6Um4NEvlXcmViQW4Jm8YXlxUhJr6NhjM/mmbNWcM0GnVnOcM7InLftbUbvNTWmTT3H2JdF4Bn4ePfl6CnffNwCcPXomNi4pgtbtCpq3uOdmM9GQJ5zauVPTAVmRc9xhq33iRCPdAxI5wv08u1Xtf1Aqx10YBz0TYS7tr/QQKa+rb8H1Lp7f0I5xN6bVqNJlsfp/52m+0dq4QC0M+k06rhtXuxPUTQ5ebRFMCIRHww96LRBAX10cQBEEMcdh08VBlX9W1LVApolsUaTBYsOLv32D/6Tavz75pYzV+8ocvUP7a1zBaGOjD+Gy70wXG6e7dA3HQ3MHgP6daQvrZEq0m4hhlqBCX0UZ5eTkuueQS/Oc//8GpU6dQV1fn/e/UqVPxuCTRC5RyMZ5cUIgmkzWk0QQGaWwd877vW2G0MHh49gTvCtSFDv/BeGVVHRbrcoLOXaLVoOLqXFRW1fl9tvbmiZiSlYpGkxXHGo043dIJAHhm4SS/AXplVR0qrtaiROs/aC/J1eCJ+YWYMCIZ40ek+E0KREqtDrdK6LuNq38vm4ofGERE6scdSxLhHojYEer3qdOqkSwVRm2vANDayaBMNwYv3z4Fb959BV7rslffv+tQtupRHS/AircOej8r0WqwYX4Bbpg4HJkqGSqr6rBsVi5KOO51sS4HlVV1mJmrQapcFPJv9In5hRiWJIbVHn6mPFJKmslq53wO9l4opY0gCIKINQ0GCyq21+BUc2fY/RxOd8gAmfXfZ1o6YbTYsWhatp/P9qViWw0ev7kg6Fx6rRrr5xdi6esH4uLvTFZ7yPGCrqtLCQmheYhL6vipU6fw1ltvQavVxuP0RBxgnC40ddiwZu5ErN91JKiV0Lp5Bd4gjavuZNtd07wvAHHAapGZcfr1xFVIhOi0OXDoByP2ft+Cv/7sCljtTjAOF/5zqgU3b6qGmXF6B8XbvjqNu2eOQ3aa3Ju6brAwsNld2Pt9Ky4bo0KZbgwAYLRKhhFh2hZESq0Ot6qfo1HgXw/MhIDPgzpEX+qRqTLO9Pq+DHAT4R6I2OH7+2wzMzBa7Kg5Y0D5a1/j6YWeMhxf58s1qXK21YzH3jnstevNpcWo4ijtCLRVm8OFHI0C501W/PNoI7aWX45zRisAzwr2nBerMCUrFX9eMg1wu6FSiLFpURHOmaw422bx7rd8ew2Ks1Xe+1LKEeZvVIHvmkK3EwQip6QlSURY9Mev/J5DIuR77+W9Cn2U3z5BEARBRMY3Xbxsxpiw+4qFPPzy+jzweCeCWrE+06Xo7duyy9dn+9LcweDWV77A3352BSwOF9otdiTLRHA4Xbhj81c402bpdgq30cyguYOByerpi63hGO+mSEWc4wXWz/J43brkoCYugfY111yDb775hgLtAYTRYsdv/nUSf/jsFMr1OSgLMBqThQGgCFl3YjBfnDFjU0h9B/9sT1ydVo2iLJVfrfOPJozAbz7+lrNuGgCKslTYuPsk5k4aiRnj1NAkeVJijWYGw1Ok3Qom2VTczzlSembmatDUbuM4yjPZ8P6hRhw8Y8DTEVaGPYFE/wa1iXAPROxgf5819W3e9loAgpzcGLUco1Jlfr97o5nByrf9W4T5rmIH2qtv/+oSrRqXjUnDbz8+6fk5dxh4PJ5fr27/llli7/2OSJGiqd0GpUyEGwtGQCER+qn3h/sbjWSnkUogNEliXJat4hSbKaESCoIgCCLGNLXbvGNjrnEwi06rxgeHz6Oyqg4fLC+Bw+X2G8d22Bx4NKAvdrhsy+YOBqeaO/3GBizdLRnkWkjjEiH19dGBfnZmrgZ36cPrvQwl4hJov/rqqygtLcXhw4dRUFAAkch/NuXmm2+Ox2WJMESaoWJXen0H2b7cNCkDQOh2Q76rYpVVdXhxkacWv6be4FU5Bjyrcw6nG4WjlBAJ+DhvsoLPc4dtC1Su6+rTq8tBbVMHtv7ne6/RdzeYZFNxH37rYJB6+jNdq4OBA3x2ZZ1VHad+1EQ8CWergRkZgfb60c9Lgv4umzuYoD7cXPYqEfKRP1KJosxUME4XRiplUEgEONXcicqyqThntGD38Sb85l8ng5T42VYevo64k3Fi3a6jER02F5HsNBrbW3q1Fi63O6i7wNKraQKYIAiCiA1GM4M2sx31rWbvZ6xf5QNBGaLsePKybBVS5SI/f/ZDmxkGsx13zRyHFbMnwO50wWRxQKUQQS4WBHW+YUlPkUCvVfutene3ZDDUQhqXCGksfPRQIS6B9hdffIHq6mp88MEHQdt4PB6cTu4/FCI+RDNDFW4FSadV40C9ASNSpCFrnH1n79h0kp9dOdabiu4bDLAvmoptB3BZlgrTctLCvkAC2wdFqzwcikip1RsXFaHRaMWp5k6/dFP2/lgxJnqRELEmkq1Ga6e+f5tcNhtorw+/dRCvlk7FCx8dD2uri/VjIBcLOJX42612fNfUAZPVjiSJEPtOt2H/af+Wd92x3d6UQDR3MCh/7WvOlLby177GexV6sl+CIAiiVzQYLPjs2wvYdbDBr2sHOw6+e+ZYPDQ7zyskyo4np2Sl4qkFhX5+qL7VjEfePugXLLM++MWPv8Xm0mIs2bovaKxckqtBilSEF35yKTqsjh6XDIZaSAO4x71UphgdcQm0ly1bhp/+9KdYvXo1hg8fHo9LEFHCzlDtP92Gillav/65n317ATcWjPCmcK6bV4BHdx4KWgFarMvB2nePQD9ODaVMhM2lxd5zsCmk3tk7Hg97TjbDzDhhd7qxdteRkCnh7CB9zbtHOFtnsXC1D+ptsBsubVUpF+NUcyfue/1AyOPbrfao6lgIIlqMZgaPvXMYkzNTUTZjjJ+NrXnnMJ7/8eSIdvrsB8ehH6dGg9GKDqsdmiQJpCIBXr59Cqe9Ah57vPXyLDz30fGItuqC2/vvwHZgyVIRrvn1Z373xNV/vju229MSCKOFCZmdA1B/T4IgCCI00Yzv2PF12Ywxns40WaqgMqzffnwSr3x+CqvmTMAlw5ORn5GCV+8oRrZajlEqufdcZ1vNeDQgyAb8Syhf/vQ7rJozAY/sOOzdrteq8cSCQmSlec7l23u7u89otITv5sHlN6lMMTJxCbRbWlrwwAMPUJCdADR3MN62AFuq64JWq64Yq/YaidHCYOqYNDxw7SVwuNyQiwXggYcv6i6gcvFUnDVY8NKntUGzbexgevtXp7FYNwYP3TAeTSYb0lMkIQe6voP0PSebcc+V4zj3ZdsC6bRqnDdZ0dAlxATEd7AcSTRNJhagYntNj9JiCYKLlk4Gt16exWmni3U5aOn0BKdGC4OiLJXfSu2hH4yob+3AK3cU4+Edh1BTb8CLi4rw209OBgXkrL0u316D1XMm4IFrL4FYyI/KVgODazbLhG0jEngcwN1/Pp6222CwRFQtp/6eBEEQBBfR1imzK8CLLs8CgKAJbJbLslWYMU4Dk4XB+OHJfqu+xi6B03arI6jEi8W3hPIX143He8t0ONNqQapMhEyVDJlpcs7juvuM2+6cFvYY8ps9Iy6B9i233IJPP/0U48aFb8hOxB+T1Y5yfY639ZYv1bUtWP3OYWzqSuNMlopQMEoZJEz29r3T0dJhg8sN3DYtG+X6sd6VseraFvDBwxt3T4dIwIdEwMe5dguGJUtgZcIPdn3FHQR8XpBwhK/q+LKrc2GxO7Hh/WPe7fE0+khiTAfqDVHVsRBEtDhc7pB2CgCP3zQRgEdR2zdwvSQ9Ca/ccRlsDhe+u9CBJfqxcLvdeP2r05zn4gN48+4rcPgHA6aPVcPqcKLd4gh7b7626vtviZDvbSNyx+avgo4LDMxZ4mW77ArD5MzUkEI01E+eIAiC4KI7dcpsWRabbRlKhVs7LAnZGgUAhd85z7aa0W5zwGSxgx9Bppv1uw6XC62dDqTKRBijUfRoYSfUM/7nVEtQnTcL+c2eE5dA+5JLLsHKlStRVVWFwsLCIDG05cuXx+OyBAcpUhGKMlNDrlbt8UnjVEiEQQP9S9KTkKaQYvXO/8/eucdHUd77/zN7381md5NdAgkmENhwSQgYQEGzQUFbRAGhHHtEbIFgbatg+/N4iigXAa/VtlbQXtQoPUdpT4t4AWurYoVERYFUAgRMJBAggZDL7iZ7m739/tidYXZ3ZnY32dzgeb9eeUF2Z57nmcl85/t9bt9PTUxCB2ZmbF99K5Z1jsSKbQdQVmDCutsKcdcrX+B/V4iPjillEmgUUpRb8pGulOHHM0ZjzZzxoChAQlGgEHqp/PzmMQgGgyjf9hW7BLW3jV4s0cOm2yfg1hf28Z5H9m8TuksgIJ4U0B8IAogcBBqTpcXLS6di7c5I+ywrMGHp9SPxxcn2mP1c++rbsKzTjfdrmjFUr0KOQQ2jVhlxDGOXzFaTvEwNVs4yo6KygQ0qygpMyDel4cmFxVjySkhGhI/obKm9abvMDAOzigeInFkoI4laCAQCgSBAMvuUmZWP0TlPuPH2jAITtoR9EZfTbQ48El59Vm7Jx+yioTFbvLi+m/G7LtqP1z5rwFMLi7u9elLoGpkZeSq8BZR7DcRvdp9eyzqu1Wrx6aef4tNPP434jqIo0tHuQ0xaBU61OUSPYZZxdrl9EUGpSavAy0un4pEomQEgdlkoE0zvq2vF5t3HsP3e6TjQ0C4qb3Ckyca7pL3MbMJ/zR6Le7Z9hdau0J6RV5dOjehk94XR8yV60KpkONvhFEzcBpD9n4Tu4aTFZ5WZZ44ZBNrwzhE8cut4XvvcV9eKQDAomPvA4wtgX30bggCeWTQRQYAdydYopIJbTV5dOhVfnmrHjAITfrloItQKKZptbqy5dXzcAAHofdtlZhiEZhZyMzTIJls7CAQCgcCDUMJfBm58xwx6Cy0ZF/J3ZzidbCFfy81vwmyhLDMbYdQq8NTCYlzVjeXi8a6R8Zvv3F8KCUXFJDgjeYm6R690tBsaGnqjWEI30GsUuCpDPLBklnEyxmfSKvCrOyZhqF6F8zY3VlhGoSQvIyaA5i4L5QbT++pa4fb6sXl3Le/Lh1kSfuScjXep7L76VgQQxJ3X5mHrnnrMKDDBPESLt++7vs+zGnITPTRZXXjor19j2fUjRc8h+1gI3UGvFn+m9epLz1WOQY0N84tgc3qxZNoIrOBs52BsVGjZNnDJXivDI/C+QKhTTgGYlJchuIRdQlHYfHsRll03Eg7aH5OnIDpA6Gvb5eZW4EuG9uY906C1ykgeBQKBQCDEEC8/Dze+46585A7sAsBVGeoYBRAAONvhRBftx93TR2D93CI8HidhcHVjB5aX5uPPXzbivpkF0CplPepkx7tGJ+2HhKIwOksb8Xmi+9YJsfRKR5swsBimU4nuN2aWcerCgfD2H03HpveOxixFfef+UpxsdUAulbBBvccXYEfbuHS5/TGzSl5/MJwZMYgzHS7cND4Lz39Ux9tmppPAjAhmG9QYEbW/pS/h7mkh+z8JvUG8vADc5+p0myN2ubjZiLfvL8XfjzTjD5+ehJP2xyzbBhBjrzaXF4FAEBQozCnORvFVetGtJkyiMb49XtwA4fAZa5/bbjz5s89OtuH3n35L8igQCAQCIYZk/DCQuMSVzUnD6vJG+O1Xl04VTYD26G2FuGlcFtxePzbMLYRMKknJiqxkrzGZfeuEWHqto3327Fm8++67aGxsBE1Hpoz/9a9/3VvVEnhIVFjepFXgDz+YEtPJBkIB9qb3jmHKyAw8/1EdO3OVppDiF7PHocNBR+wvSVeFHi3urNLKWWb8zxen2GD8pSWTxdutlg8YA+buaUl2mRCBkAiJ2CmToZR3uXh9Gza+dxS3FWezs8rcWXAgtC3jodljsWLbV+xnHl8Aw3Qq/PbdI6iqb4trl3a3D3Kp8D62qvo2rLutED+y5Pe5LTD3MDooYFbRMDPtJI8CgUAgEKJJNF6OPkfMnzR3OOENBGP8Nt9AOJdTrQ5s39+IzQsnINeYusHqZK+xpdOTlL42IZJe6Wh//PHHmD9/PkaNGoXjx49jwoQJOHXqFILBICZPFg/iotm7dy+effZZHDx4EM3Nzdi5cycWLFjAfh8MBrFhwwa8/PLLsFqtKC0txe9+9zsUFBSk+KoGN2kKKdbNLYTV5YVWIYVGIYNBI48xDq1SJjjCtq++FT+7uQDPfxSSDKIAPL5gAjbtOoY9xy+yx1nMRtw+KSdm1ndyXkbETBl3uTkfGSnS57tgd6PDSaPT5UOaUgqNQhpRNrPvxOaioVHKIKEoyCQUjGmh761OL9w+P5tZfV/dRfzy78fx3PcnQSaVoMvlhU4jh1IqQbPNBbc3pCHe5fHGlEdeRgQxxEbHz7Y7cdbqhD8A0aRp5aX5qKhqwLrbCpGlU+LNe6bB6vJCKZOg+owVv/34Gzy9aCIe2F6NkjwDPj/ZhrnF2WyZ8ewyXSVDu0Ncb9Pt9cd91oX2e0V/rlXK4PD4YHMlti8sx6DGurmFsDs9yNKp4aD9sLu80Kvl+MfPyvCbD4/D5iJ5FAgEAoEQS6Kz1GIwfqzDSUOtkMLri012Gs/XjsjU4JHbxiFNLuUt2+72QquUQSGVwOqioVXJoZZL0en2wubyQaeWIUOjwFCdivcan71jEjocoXLSVXKoZBLY3DTotgAM6lD/oNnqgs8fwCf/dQPcvgDctBcmrQpdYb+qU8uhkIpnTL/S6ZWO9po1a/DQQw9h48aNSE9Px44dO5CVlYUlS5bglltuSaosh8OBSZMmoby8HN/73vdivv/lL3+JF154Adu2bUN+fj7WrVuH2bNn49ixY1CpYh+uKxGxvRV6zaVjPv3mIkYP0QqUEsIXznwMhPZ3NtncEZ1s5vOn/l6L/549DsBxVIUTLGmiXhbcTI3R9GQJNvMSctJe6FQKrOXJmL5qVgFGhPe5/IJn9muFJR/tDg98fmDLJ5FaxGVmE/7wwynYvOsYvjjZjhcWl+C3e+rYxBa/+vAb3j3pT71fi423TyD7WQii8I2On+twYvVbh/HwnHE4086f3ZvB4wuws8pPvV8bY5/MMWtvG4+iHD3raBnE7LLMbEKTVbx+IH6egrPtTqx563CEXc4oMLEDdx/VtrCfW8xGLOPMRieyLyxNAijS1VgTNYNgMRvx+IJiBIJeNFldxBYJBAKBEEO8WWox+GLuV5dOjTlOzNdazEao5VLIpRSGcDrKfGUzMebil/djcp4hwl9azEY8ubAYeVEz4mLlvLn/NO6dMRp5GWo021zQaxRY+84RNLY58acV1+JhHr/6xMJijEjhrPvlhPhwSjepra3FD3/4QwCATCaDy+WCVqvFpk2b8MwzzyRV1pw5c/D4449j4cKFMd8Fg0E8//zzWLt2LW6//XZMnDgRf/rTn9DU1IS33347FZcy6Im3t8LmpNljrtKrkaaUCpQUQqOI/N7q5J8Z2nP8IqwOGiV5GXjjnmn420+uQyAYjDimorIBy0vzUWo2RnzekyXYTVYXVm6vxk2//hQtnXRMJxsIzfpt2VOHf31zEf/65iLvPtPXKhvgCwRjOtlAaGZ//dtHUJijj9AoF9Mrf62qAWOzdew9JxASxeakcbrNiRPnOyGXSJCbKd45ZEbJbS4vbycbCD2TV+dm4Lcff4Nlr38VoeEpZJcWsxEbby/C6h2H2QCBj3iDZMygQbRd7q1rxSM7azAuWxfxeWXYfsot+exx8ewoIJHg0bdjl9dX1rdh7ds1kEvkxBYJBAKBkFKEYm4+hHxtWYEJTywsRppCGrFkXKjsKo6PjPaXlfVteGRnDS7Y3QmXU5ijx5Y9dXDQfngDQWx4N5Sw7cUlk7H27SO8fvXRnTU42+FM7CZdYfRKRzstLY3dl52dnY1vv/2W/a61Nf7DlygNDQ04f/48br75ZvYzvV6PadOm4fPPPxc8z+PxwG63R/xcriSiCdjaRaO22Y48oxppCiksAgF0qdmINIUMO++7Hu+tsuBP5dey+rrRHXAAcHr9qG7sgMvrx3m7B5+dbIt4oTDJ0kryMvDmPdPw1k+vx8cP3oAti0u6lfAh+uWRpVOKJprISlciK13J+/2++jakKWWCS3T31behJNeAklwDewz3/3z1leQa2HtO4OdKss1Eae2i4fL68cY90/HE7mP4x9ELgp3cMrMJQ9KVeG9VKQBg1yoLXl06lbfj22xzsR1xhUzClsm1y1eXTsWrS6fi7z8rw+YFE/CT/zmI1i6624NkzKCBkJ1Uhu0kmqqoz+PZURftF62ji/YTW+wGxD4JhIEJsc2BgVDMzTc4zfja24qz8befXIeXlkzGG/dMw5MLJmDVm4fQFSUjKxbPc31ktL+srG9DB2e7VyLlVNW3gfYFIuJgmVQi6lc73eISpVcqvbJ0fPr06aisrMT48eNx66234r/+679QU1ODt956C9OnT09ZPefPnwcADB06NOLzoUOHst/x8dRTT2Hjxo0pa8dAJhFNQAkVxPZ7p8NB+/Grf57AstJ8BIGYpSGP3DoeLq8Pz/3zRMzSaK6kD0NupholeRl4YHs1nrtjEm8SMScd6owvuHo4zFniy9bjEf3y6HILa10D8RNRJHt+vPKY74nOtjBXkm0mSpfHi9FD0vBoeCT5YHiLAhBro5sXTMCmXUdjcia8cc90LHnlC8GOZbPNjeVhWZKqsOTX1j317FKyNocHFZUN+MWccaydM4oCq28Zh7MdLow0ajDcoBZdidLaFcq8KoaQHUV/LmZH9jh1MOcSW0wOYp8EwsCE2ObAoENglRQT/0qAiAmgkjwDsnQq/LDiS0wZkYHHF0zA/W8ewuFz9hj/FC+e5/rIaH9p53SCEy3HQfvh52wX7UzQrxIi6ZWO9q9//Wt0dXUBADZu3Iiuri785S9/QUFBwYDIOL5mzRo8+OCD7O92ux25ubn92KLeI54moE4th4SicM7qQrpKho+PX8TnJ9tZSS6PL8AmUaIoCr+O6mQDkZI+TLKzUrMR/zh6gf1dKZPEyH1xy/YHxTupiRD98tCqxJfBx0tEkez58cpjvic628JcSbaZKAa1Ag7ODC2fHY3I1ECjlOKZD2L3ZFfWt2HzrqN4ZtFErNh2AEBo5psr8SWTUFglYJsPbK/GlsUl2HP8Ijy+AGvnTGe8JNeA+944hI8fvCHudg+725uwncT7XMyOdOrEtFCJLSYHsU8CYWBCbLP/uWB3Cw4UM377z/dOx7JOD2h/ACONaZBLKZzrcOGtn16PZpsLi373GTsgHu2f4sXzXB8Z7S91Khnn/4mVo1XKImLz9AT9KiGSXulojxo1iv1/Wloafv/73/Met337dsyfPx9pad3bQD9s2DAAwIULF5Cdnc1+fuHCBVx99dWC5ymVSiiV/EuGLzei9fI0CinKLfkoyTVAGs6Gfc7qgkxCsfq4XEkuLmVmk+iez/LwjBhXSoeBm/QhuuxSsxGLSob3+FqjXx4tdg/KzEbe5eOlZiNaOj2CZZWZjXB4fCJJoS5pETPHiCW2YLSLic62OFeSbSYK7Q/EjBRH2+j//fg6SCQU/n7kAm8ZlfVtWD1nHIDQs7huXiEWvFjFfl99xoqSPIOA3V961rl2zpSVzHOtU8nx8fEW0QQw3AGA6HoY4tWXrpLBYjaiUqAOrUJKbLEbEPskEAYmxDb7D5uTxgW7B/5gEJ+Ht0jy+beSPAP+eezSBNT//fg66NQyfHW6AxWVDRErQvn8k5j+dWlUTMr1lxazERlpl8pKpJxSsxFdHi8CQbC+1OcPiPrVdFWvKUYPanplj3ai/PjHP8aFC/yBYSLk5+dj2LBh+Pjjj9nP7HY79u/fj+uuuy4VTRz0MHp5MwpM0CikeGFxCaobO7BqezV8wSAe3VmDxS/vx3/+8QtI4mToV/Psw+aSppDhbz+5DrcVZ8csI6+obMCqmWaURe1RYTrlqVhywrw8GFbvOIx184pQZjZFHMdkHZ85ZghuHDMk4hy2TZb80CzfrALeRBWPLyxGbZMtYq+q0L5V5hpPNNuJzjYhaRhZKzE63V7YBBITMrg8fuxaZUF5aT4+qj2PKXkG9jvBpCxmE5Zb8lFR2cB+xozYd+e5NmkVONFsF0y29sTCYpxotsd8vrz0UhsSSZZ4VYYGTywsjsk3wdRRVXeB2CKBQCAQekST1YWVbx7CXa98gU63N24cyPWlXn8AaXIpDp+xxnSy+fwTN54XKjvaX5aFs45zJb7ilXOsyRZS5snQYGSmBo/NnwCL2Yj73ziEzQsmCPrVqzI03biDlz9UMBiVCroPSU9Px9dffx0xAx5NV1cX6utDoz8lJSX49a9/jZkzZyIzMxN5eXl45pln8PTTT0fIex0+fDgpeS+73Q69Xg+bzQadThf/hEGIzUnD6vRi7ds1ONhoxZbFJXi9qiFitve/Z4/BFyfbeZMklJqNWH3LOMzfWhXzHcN7q0qx/LWv8PSiiTHZt0vNRjw2vwi7DzejeLg+YmlqRWUD3ltpwege7tEGQi+9h3ccZkfqTFoFXloyGTq1HJ0uHzRKKdIEdbS90CikkEooSKN0tB20Dw7aj3SVDBq5FC6vH51uH9KUMkgoQCGVgPYH0OX2ITNNEdbR9sWURwL75LgSbFOMC3Y36lu6kJuhxiM7a3hHkkvNRsydmINJuQbc+tt9gmW9t6oU87ZUsfJ1uRkaPPbeUdZONQop1s0tREmuATaXF1IJhcr6Vvxx78mIIOD9ByyQUFS3n+smqwsb3jmCsdk6lOQa4PGFNDtHGDUYnqFh7ZHRL9WqQjradlfyeqZnO5zodPvQ6fIiXS2HViGFKhCEgthiSkjUPg8dOoQpU6bgO4++hsy8sUnXc2r/P7C/YiMsP38Rw8eXJH1+e+MJfPjEchw8eBCTJ09O+nwCYbBxpfvOvsDmpLHyzWrsq2/F68uuwVC9CnN+u49dOXrjmCGwhfc1M7Eu40stZiOeWliMXGNajM+L5+O4x6cpZZBJKJxucyKAkBqTlKLgDwYxPEMtqKPNLYeJfSkKCASD0MhlMGjkETGy3eWFNxCEN+CHWiaDg/az7U1XyUgnW4QBP89/4MABzJw5k/2d2YOydOlSvP766/jFL34Bh8OBe++9F1arFRaLBR988AHR0EakqL1OLYeUAk61OfF/P54OtVyGZaX5WDxtBFRyKQ6ftaI4x4CpIzKBYDCiA15WYML9M8345ITwks9SsxE1Z22489o8dv/o/TPNkFAU0pRSBIOAm/bDFwhiVdRsdyqXcOYY1NiyuCSpl1Y8vUTud2Ka5PlxNMgJhES4YHeHta19SFfJEEQAnoAf6+YWYfOuoxGd7TKzCRtvL4IEwMk2h+iyrhZ7aKtEVX0bKAArLPkoyctgl4LnZWrYLPzVZ6zISldizNB0bL1rMg41hpa2TR2RETfhWTxyDGo8d8ckQRvtiX4plyarC2vequG11SGkk00gEAhXPFx/q1PLRDum0ee1O2jcNT0PP//OGJi0Clywu1gfvHVPPZsALXriqazAhMcXTGClu5L1eXzHZ6Ypkop7k6lXrwnliXnkbf7YN6cbKkFXEgO+o33jjTdCbNKdoihs2rQJmzZt6sNWDUyYjnWXxwu9WoF1bx/BvvpLRnHzuCxsK78WF+xuPPP349hX38aOvF0/ygiphILb68ey0nyssIyC0+uHUiZBW5cH2ToVas7aIjITM3D3ZG9ZXAIn7cexJhvmTczBpl1HYzIjczOU90QzW4hUBerRxNMk37K4hMySEeISPQBm4syuNrY5sGZnpP7zzeOzsG5uIZrtbtw7YzQenjMeXn8ANqcXBxo78PjuY/jF7HH4xd8O428/uR5r346c+baYjVg/rwh3vfwF+1llfRvKLaOwdU89a4OMpF6T1YX3DzdHvDtKzUZULLsGIzM1KXnGe8tGGYitEggEwpWJmI/lHnPe7sbZDhcoimIHkyfnGfDkwmLkGYVzR51pc+BMhwtWlxcquRSfnGjB8WY77p4+AuvnFWHTe6EBcSYB2rrbxmPdbYU41eaEXEqhpdMDQ5ztYMnSmz6V+NOeMeA72oTE4M60rpxlRnVjR8zM87gcHfafbMOummZUhTvZzGgbNwkS03F+6K9fszPPux8oxeyiYRiuV+Gh747Fw3ModDi98PmDONTYwXac05Qy/OPnZdDIpXgkqsMAhAJ8iqLwzv2lkFBUUstA+5tENMkHy7UQ+gexFRFSCRXTydYopLjz2rwYW+LuyXLSfvz37HF48Dtj8M/aZiwvzceaOePh8PigVkrRYvfgrpdjpb3UcinevGcaRhg1bCebdaj1kc95VX0bpBSFLYuTX7bbHxBbJRAIhCsPMR+bwxlMXv23wzGDycwk0CM7a/Cr71/NO7N9us0h6I//9PkpTBmRgeWl+XjktkLYnF5oVSEffPer+yN88LUjMweNDyL+tGeQjvYgJHq0TquUYf07R1hDKMnlzx7MFbMHQnJc0Utaor9nyjlv8yAjTQGry4vFL+8XbJvD48NLn9Rj3dxC3mzfALCvrhUSikrJnuy+JBFNcgJBiAt2N061OrD42jwsL81nR9CZUeFHbhsfY4uJ2qjN5cXfa85juWUkVr4ZGvR6455p+P4W4ZwKTtqHFdsOYEaBiR2RvlwcKrFVAoFAuLKwOWl8+s1FLLt+JBZfmweVXMr6WWbmFYDgYDJwyad2OOiIjjazT3ktzwQS83tJXgbGDdNhxbYDeGnJZNz3xiHBtg4mH0T8ac/o1472iBEjIJcT3bVk4ButKyswYen1I/HZt6GlKkI6ftGfC3XIgVgZHwB4raoB5aX5KDObYl5SwCVZgL11rbBehsL28bQHiYYgQYjQCPrXEYNP3BH0vXWtWOXyxZyXqI26vX7sq29FAEE2UPj8ZFtcWwUiO9CXi0MltkogEAhXFh1OL3YdboqZbWb8LDOjLDSYzPWpdvclf9xsdeF0uxPpSpngBBJzLhNnR+tYRzOYfBDxpz2jV+W9Dhw4gP/5n//B//zP/+DAgQMx3x85cgS5ubm92YTLCqF9EvvqWkOdYEvoBSFk4EqZJOI7oQ559PdMUM4sH10/r5BXMosrKaCJIwU2GA0zWj6MC9HkJQhxaTl27Cg41241ylibScRGS81GHDjdwZbJrFypqGzAhvlFKBORAmFgOtCXi0MltkogEAhXDjYnjXVv8882M3620+2NO5jM+FxdWBPa5qRxut0JfyAY0fkWOpfZe81oUfNRNsh8EPGnPaNXZrTPnj2LxYsXo6qqCgaDAQBgtVpx/fXX489//jOuuuqq3qj2skdsWSd3JI4x8OgXTvUZK4br1ex38UbclDIJysxGLA0nOgMAp9ePcx0uTBmZgZ/dXIBAEFDJJaBAYc+JS5roFEIGuJenvYPVMBntQa58GJCYri/hyiVRu01TSGOyhsezUYNaziYiZGACBSftR3OHC8uuH4lHbh0Pq9MLrUqGFrsbq3ccjsj8n6YMuQLGoQ52uyW2SuCjtra2R+ebTCbk5eWlqDXJ09jYiNZW/ndJovT3NRAIvUFrFx13tjmRgWKlTAKL2YgMjrzrH/d+i1WzCqCUi08g6dVyuLx+vLp0KqQUhYVXD8dj7x6JaBcj6zWYfBDxpz2jVzra99xzD7xeL2prazF2bEgz88SJE1i+fDnuuecefPDBB71R7WVPoiNxjKQAEJkdvLbJhkUlwzHSFNK7E+qQAyHZoBFGDaaMzGQTnQGhF8mB0+2YMFyP33z0De8SnTf3n8aHtRew6fYJWP/OkUFnmGIZK5ORD0sk8yXh8icRu51RYEKGRoEnFxZH6GVXn7EKSnaVFZhA+wMR9glc6pzfPD4LOo0cv/zH8Rg7fXrRRPa8UrMRCmnonMvJoeYY1Hh60UTYXF7YXV7o1XLo1HI28RvhysFlawNA4e677+5ROWq1BseP1/ZLR7WxsRHjxo2Hy+XsUTn9eQ0EQm8Rz88CYAeKhQaTS81GtNjdeHJhMVQyCb5t6QLt9+OuaSPw63+ewKS8DMGY2WI2Il0lw4/+dABTRmRg84IJeO6D45iUl4Fl4SXlBrUcI4waDB+EmtNSCYVHbh2PleG4V6uQQqeWD6qYoL/olY72p59+is8++4ztZAPA2LFjsWXLFpSVlfVGlVcE8ZZ1MktWWEmBuYVYP7cQLtofMgyVDC6PD8MNajx663gEgkEsuHo4Nr53NHLPt9mEh2aPxZ1/jMxUzLxIgkEIJmiiAPzilnG4849fYOaYIUlrWvc3iWSsTERGIZFyCFcGidgt04nVaxT41fevRoeTRpfbB68/gO+MHwoKx2O07VdY8nHfG4ciOtnMNo8ysxGPzBmPDe8eEU2kVt3YgeWl+bC5aAAhOZPuaNEPRPik0ixmY1zpFsLlh9fZCSCIq+9ajSH547pVhr35FPZXbERra2u/dFJbW1vhcjkxrXwDdNkju1VGf18DgdBbxPOzV2WoWR/GN5hcVmDCptuLkKaQwecL4GyHC3a3D0N1SmyrasC++jYcbLTyTmKVFZiwcX4RTrY68PIPp2KEUYOrMjR4YmHxoPejgLgvHYzX09f0Skc7NzcXXm/s6JLf70dOTk5vVHlFEG9Z5+gsLT5+8IaEjJqdbXXR2DivCHQggGarGzq1DHq1HGfbXfjlf0xiMzZOycvAQ7PHovz1r/DMool4/qM63nIr69twj4MOS33JE9b2E5v9TXZmuLszyd3RCrQ5abQ5aPgCQQSCQTg9Phi1SqzdeSQmCRXRHLwyEbPbsrDdcrObDtWp2N+brC7Y3V48elshggC6PD6o5VLIJBRsLhrllksSX2VmE9bOHY9mqxvD9Wo4vX7RpXSP3DoeMgmFB7ZX472Vlojvo+3W5qTxbUtXUjaVSptOlgt2d0xgAITeT2LSLYTLG21WHjLzxsY/cACjyx456K+BQEg18eLjYZz3vdhg8uk2B9burMHBRivKLfmYXTQUi6eNwHLLKBxq7MDDOw7jzmvz2MRnuZlq/OPoBczdUokpIzLw+IIJ6HB4QPsC7JasIBDaTylAT2LW3vSjTKZ14kt7Rq90tJ999lmsWrUKL774IqZOnQoglBjtZz/7GZ577rneqPKKIN6yzlCAnnhZnW4ffvXhN7g6LwPHmmyh5TEfRi4HLzObsHuVBQGEjG7zgglIU4g/Niq5FN8Zn5Xwfk6x2V8KwC+SmBnuyUxystJGTVYX1r9zBHdemxcxw//q0qm8mZ6ZcpptbpxsdZDl5FcIidgtH1ytT67mffRI+tv3laLJ6sKBxg4sfOkzdob71aVTRdt13ubGhOF6lI42itpqd2wqlTbdHTocNO/yPiAUIERLtxAIBAJh8JLstie+SaAz7U48srMG1eGZ69eqGiJUP6K3XQHAX39yHW4el4V5E7NxqNGKOb/dBwB4YXEJXq9qiNj2VVZgwlMLi3FV5qWl492NWVO9apLbader5VBIJVizswa/uGUs8aU9pFc62suWLYPT6cS0adMgk4Wq8Pl8kMlkKC8vR3l5OXtse3t7bzThsiXRZZ3xRrpsThr76i5ieWk+0hQyzC4chmc+qI0xqH31rVj/zlFMyjOwy0yd3tALRqOQotySj5JcAzy+AKtZGAwG8dj8opTMIs8pzk54hrk7M9IRbXHRgt+Fvr+0SoOpa1KuIabzEy9T9MlWB6uvSJaTXxmI2S2frQII6YGWjsTiaXnIzdDw22ddKzbuOoqSvAxBGTCA31ZNWgV++9E32HT7BNGVL91Z5ZEqm+4u8fbrJbKfj0AgEAiDB8bPWp1eOGgfHLQfBrU8rgoOEFoFZXd5sWTaCDx8y3hefxuttQ0AmRoFTFoFVm6vZv3a//tOAVrsbiwvzcdd00ZE6nm/dRjPLJqI4RmabsesPY11o4nutK+cZUZ1Yweq6ttw341m0XOJL41Pr3S0n3/++d4olhCGGYljAvTQ7CjNdqbFRrrSFFK0OWhQAHbVNEfMwvIlXAJCne1lpSPZF0t5aT5uHpeFO6flxYz4WcxG3Dx+aNzOJkO8WeSl148U/C56hjnZGeloNHFm6rkva6auZdePjOngJJLNndsuspz8yoA7gs5sOWh10HjsncispN8Zn4VHbhsfoQcqZp98mvcA2L3aBwVG5xlFATFb7Y5NpdKmu0u87LKDRaaMQCAQCInT6fZh7ds1ET413oRGY7sTj751SYIzUX/LKHFwfZ5GIcWcomxs3HVUUM/7dJsTWqWs2zFrT2NdLnyd9pJcAxsraFWXn1RvX9MrHe2lS5f2RrEEDkKd6ae+V4yH36rhHelaveMwbi3OxjmrC1+HR6sY4nWM05QyrJxlRkVlAzK+I8fauYV4lEezsLK+DUEcx2PzihK6jkQzqfPRGXVuvLKij49GIqEEM0qWmo2QSi5tsmHq4mufWDZ3JlkVl1R2MAgDH8Z2J+Ua2FFjLmOzdVj/9pGk7fOlJZMjRs4rKhvw7spSfHWqgzd54b76NgQAUVvtjk2l0qa7iyos0cIXLFnMRqjiDIYRCAQCYXBxrsOJ1W8djvF1YqsgbTx7kOP5W0YphFmSfrLVASDUyd6yuASbozrZQKiDLgHwl3uvgy8QQJuD7nbM2tNYlwtfp517/S12D/GlPSRld8hut0f8X+yH0DPElo2cbnPGfK5RSLFylhnLrh+JfGMaZhcNi0mSFG8WViahcKzJhhcWl8Du8qHL4xPct1FV3wZ/IJjQtcTLFCnWruiRtHhlxRt5k0koLC/NR6nZGPF5qdmI5aX5CCAIm5OOqIuvfRWVDaLlVFQ2xJyTqg4GYWDDtd2SXAOvDZXkGpK2Tyftx7FmO4LBIEpyDfi/H1+Hx+YVQi2V4GqBeoD4ttodm0qlTXcXj9+PdXOLYImyQYvZiPXziuDx+wXOJBAIBMJgw+akcbrNKejrmAkNhnMdTjS0OmFzeyPO0SikyEpXitY1ypSGLYtLWKlInUrO5lFRyaWCSUj31behpdONX//zGwQRkssVQ8gfdjfWZZKaVjd24NuLXaFkZzyxJ9dHr95xWNSXegOJrV69kknZjHZGRgaam5uRlZUFg8EAiopNsRcMBkFRFPwkyOkRYstGrK5Io+EmUWKWgry0ZHLMefFmYb+50Im7po3Am/tP4+c3j0G7Q3w/M1dySIx4mSJbOj285zFLdpIpK15yNmOaAk+9X4uSvAw2o6RSJkH1GSve3H8ahTl6HD5jxdOLJrJ18d03rrzaY/OK4PD4oJJLsaumOUbzmIEsv7ky4Nqu0Kh5sqskysyhZGbVjR2RS8MLTBhhTAPtF3eEYrbaHZtKpU13F6VUil/+4ziWl+Zj9Zxx6HL7oVVJ0WL34DcfnsAvZndP4olAIBAIA4/WLjom/o2GmdA4235p5psbDzPx8jcXOoX9bYEJ2XpVxMy4SavAurmFeK2qAUumjRBtg8cXwL76Vjz27lE8d8ekbsWs3fHLQqtgH71tfMyx3HijtYvGkle+wDOLJmL1nHFwePxIV8lw3ubG8x+ewIb5E0Svl5DCjvaePXuQmZkJAHjttdeQm5sLqTRybX8gEEBjY2OqqrxiEVs2Ej1bVG7Jj1k2KjQL+8LiEkiAiNE4Zhb2ge3VKMkzoCQvA7QvAF+cGet4I3XscXEyRTL/TzSLZDJZJ/nasvH2CXh4x+GYTJPMPQBCSaqmjsjAAzcVwOcP4ruFQ/H8R99gz/GL7DlTR2TgxjFD2BFPm5PG4TNW3k5NKjsYhIEN13aFZnbF7BNAzL6vjbdPwOO7j/EmSgsEg3jwO2NE2yRmq92xqVTadHdJU8qw9Lp8bPmkLuZ+rZpVwMquEAgEAmHwY3d74678SlfJYXPSWMNZXs49h4mXq4X0ss1GPMWjHa3XKDA5z4A1b9Xw5kvhwtS3r64VXW5ft2LWZP2y2CrYOY3WGH/MxBsUQttBW7torNh2AGVmEx6aPRZLK77EuGHpeHJhMck4ngApizZuuOEG9v/l5eXs7DaXtrY23HzzzWQPdw/RigSJNedsKCswsQbFTWrAIDYL+7efXIdlNnfEbC4zC8skgbjY5cHRJrvoiJ8/GMS3F7vYDMpiGdDjZVJPJMt6omXFgzmfkeDi3gMA7OqANW/VRFzvptuLsPqWABweP/Tq2Dp7OghAGNwwiQu5Tl1olrr6jDVmTxRjn2tvG4//d/MYtHR62GfTSfsiBnm4VNW3YfUtEkFbnVFggkxC4eszHTBoFKB9AXR5fBF22h2bSqVNdweHxwdjugJzi7MjVqe02N0wahVweHwpq4tAIBAI/QPXt4qu/ApPaJy3uyMmk7jncOPlB7ZXo9ySH+E/RpnSIqS5uDCTKOKrz0wAQjPnTtqPTrcXo7O03fKHyfhlsVWwm3cdw/sPlGH9O0fY2NRJ+/GXLxvx1MJinLW60OH0svd3y546/PXH1yFNKUMW6WQnRK8M6zNLxKPp6uqCSkX+MD2hyerCgdMdmDVuCApz9DHSWnmZGkzPNyIQDKKqvo13GarQ7FhJngF2lw8rth0QrJ+pS6gMi9mIpdePxIIXq0J1LbsGL+6pj9CV5ssAyadpmMh3qTie73yuBBfDyllm/qRSda3Y8M7RuJnDezoIQBicnOtw4nSbE1aXF0N1Kjy5cAIe310raEPHmmxYN7cIm6ISqpTkGZClU+GHFV9GrIywjDaJ1t9sC8mMRNdTVmDCfTPNWPT7z/D0oon45T9ORHzPtdPu2FQqbTpZvIEgnv57LQpz9BHBwDmbGx++X4s1c2KXyxEIBAJhcGBz0jhvd+NshwsURSEYDOLblk5eX2cJz0QDwNkOV0Q5XD/MjZedtD9mkurt+64XbA+zb1ps9dnS0pF4Y/9pNvs4s2Wwu/4w0fPEVsE6aT/sLjomNtWqZHh0Zw0+qm2JOYf2BbAlfI2E+KS0o/3ggw8CACiKwrp166DRXBr58fv92L9/P66++upUVnlFwSz/qG224417pmPTrqMx0lr/MXk4dtc04//dPAarZgah18jZbOFMcM7MjpVb8vHorYVotoVePNVnrKxGthAGtRx6tRxb75qMmnNWXDMyE+Wl+VDLQ9sEPjvZxs6Ar5xlxpY9dTEd08EgacWXbIJvdQBDopnDe7uDQRhYcPeCMZSZTXh16VSs2HaAtcNH5ozH6XYnNHIp/MEgztvceOi7Y/HwHAncXj+8/gA++7YtZo+/xWyETBo7qMnFmKbAT/73IO68No8dnc8xqFHbZEf561/xbi8BBoedChEIBLHn+EXBmX6yR5tAIBAGJ01WF1b/7XDEBE6p2Yj1c4vw/EcnIvLsZGrkuCpTA483gOaWLgzVqSJiYm48nJvJL//FIJZLh7tv+oHt1diyuAT33WiGzeWNWR3q8QWwbm4htKq+2cIUL3lamlIeE5t+29LF28kGiFJOsqT0r1xdHVpeGwwGUVNTA4Xi0h9BoVBg0qRJeOihh1JZ5RUFs/xj5SxzzGwXABxqtOK83YNDpzvg8gZQkmtAu5PG9aON+G7hUJS//hWbddFJ+1Hd2AG5lMItRcOwaVdoj+fKWWbBZS8WsxFalQx3/OFzOGk/u3f5z1824qHZYzH7+X0Rx6eiY9pf8CWbiCf5QDKHE7hE7wVjCAUHQfz53umgfQFkaBSwuWg89X4tKpZdg4udHlhdXviDQRxq7MDxJhsevnU8jjXZIjrZpWYjHptfhOrTHaKJDOsudOLpRRNZJ88kQFmzM7T9YTDbqRBOWnxpeKLJGgkEAoEwcGD3G9dHLoWuqm/Dpl1H2T3SQ7RyZGqU6PL6ceJ8JyiKYqUvJ+cZ2FllprO9dU89cvQqlJmNvFnD4+XSYbYHcvdCL3llP++xVfVteHjOOKzdWYONt08Q1PdOFd1JnpZKCbErnZR2tD/55BMAwPLly/Hb3/4WOp0ulcVf1jD7TIT2MQOXHnyhwLjcko8/7v0Wd00bEZFlHAh1kl9Zeg3uevkLOGk/yswmLLeMxMo3qzFpeCjJ2X03miGXUvheyXBseOdIxMuGSYJQ/vpXbJBaVd8GCUXhuTsmocnqimnPYO6Y8u2pTiTRBuHyJxFbBcIDYyIyH8u7aGRq5BidpUXDxS5sK78W6945ErPcbHlpPp7++3HcO2MUlkwbwe4Xu2B3AxTQ0uXBhrlF2LzrWMwIP5PEb8qIDLxzfykkFAWT9pLuJzC47VQIvTrOypIEkzUSCAQCoW8R87Fi+42ZPELP/P04/vjDqVizsyYmuS/TwQYaUG7JZ+PkUrMR2Xo1llvyAVARvrQswVw6OQY1Hr11PM5ZXdAoxLtXZztc+LC2BR5f768a606OoJ7K5RIu0SvrFl577bXeKPayRSjt/pMLi0H7A7C5Qi8bJgmaUGBckmsAAN5loJX1baCoE9jx0+vh8Phw8mIXas7ZMCUvA0P1KkzOy8DnJ9tQUdmAl+6ajEl5GVgWXnqTm6nGP45ewOJwJ50LkzmRzygHe8c0ek91hqZn8mGEwY+QrTJ7mbkBQrzM/BqFFLpwh08uk2DNjtjZb+b3krwMpCllcNKRtr/7cDN+82EdXvzkW/z53ulY1jmSN5HhvrpWSCgKo7O0AACd6pI832C3Uz56KvVHIBAIhL4nno+NN9NK+wN4ZekUPBrVyQYu+VOmg716zjgUZutYf3n/m4dw/Sgjnlg4Aa1dNC50uqGQSmAeomUVZBJhxbYDeHXpVNFjFNKQ3+2rVWPJ5ggiPjR1EI2TfkYs7f7Dbx3G1XkZ2LqnHhqFFBXLrsGb90yDREKhYtk17DIYpvPr8QVEl4Huq2tFk9WFiqoGLC/NR16mBt8ZPxQ/eHU/u6QcAA40duDfHE3el5ZMFiwTCM145ZvSYoxSLPviYDHU6H0rJHP4lYuore44jKe+V4yH36phv+dztBqFFOWWfJTkGkAB8AWCONPmwBmrS3D2mxmlP9PuYhP0MbPVj++uBRBaCn2x0yOayJA7M811opeDnUZDsvwTCATC4CKej92yuER0plWjkGJMVjocdCCuPwWAFrsnIultWYEJv5gzDkte2Y8z4aRpMwpMSSX+ykhTwGI2ivrV0vD3DH21aiyZHEHEh6YO0tHuZ8SWwVTWt2F5aT40CileWFwSk1iMuwzGSfuhlEniLgP1+AJsGevmFkKvkqMwWxdhSCea7XhyYTHWvh1K95/IjBefUVZUNqBi2TWQUFTM6ORgNVSSOfzKRcxW99a14nSbM+L7aKk9xo75tnWsnFkgWjezsuR3d0/GVRlqHDlri0iMNqPAhKsyEk/kwrVXoSypg9lOAWKrBAKBMJiI52Nbu2jBmVaNQoqKpdfgsXePYPG0EaL1MHHycIMaH/ysDE7ajzSlFIcarVjwYlWEX03WB4aURYqx8b2jvBnQuVu6GAbqqjHiQ1MD6Wj3M/GWwXh8AcGswNHLYFrsHoww8mv8MTCd5qr6NgSDQLaIITGfB4LBiA4DF+6Ml5BRbk3CUBPd/9qfkMzhVybxbNXqivyeooD7bxzNSu0J2XFlfRt+eqNZtGyDWg6dUo5sXRBpChlmjR+Ka/ONETYFIKmlXlx7dXi8eHJBaKuKw+O7LOwUILZKIBAIg4VEEnCNztLyzrSum1uIFz+pw776NiwLd3CFUMokmFFgQrZeFeEfhulUuHZkZo87lXnGNDz5vYmwOmmsu60QQQAdDhpuXwCHGjtiBsm5vnmg+VbiQ3sO6Wj3M/ESDihlEtHl4FX1bVh9yzh8t3AoKAAqhRQWsxGVCSxXYTLzChkS9/NnElxCwj2H+8LQKmXI0ChgddEAdelYLnx7c74zPguPzS+C2xsYMC8ewpVJIrbKZUKOHuXbDqDcko/y0nwMSVcK2vHnJ9sEB7MsZiNyMzXIzdRgBNLYz4fy5Jrs7lIvfxDwBYPISldCPzSdtd2TrY4YmyN2SiAQCIRUk2gCruhJnTSlDL5AEGveCilpxFu23dLp4fWJyXQq43WIh+pUGKpTsb83W1341zcXUZJrwHN3TIJKLsUFuxszxwxhzzvX4cTpNiesLi9Ucik+Pt6CE832PslMTug9SEe7nxFLOMB0jAuzxbO3n+1wIV0hw1WZarR0urHx9gl47N2jEYFwmdmIdfOK8PcjzdAopHDSfhjiZOblkuwSEr5gnFkys/jl/Zg6IoNNbgHw783RKKT4z2vz8IuoJFHcxBgEQl8hZqtlBaaIQSyNQgq5VMLKhgChXAfRMHu2p+ZlYMHVw7Hx3aMx2U4fXzABuZniK1UYkrFToaQzjy+YgE27jkVoaDI2l6aQEjslEAgEQspJJgEX0ym2OWmct7tBIZQXxeMLIE0hw83jhwI4HuGTysxGbFowAZk9nKWNl7CNjyCA9w83R/j3GQUm3DBmCADgbLsTq6PkQJmYecM7R/DcHZPIwPUghXS0+xi+UbBnwtp73JeLxWzEsvA+DiYRAzeRkscXgEouxaHGDqQpZBiqV2FtWBpIo5Di3hmj8PAt43De7gYQGuFb8GIVSsL6gX/5sjHpJEeJjvYJJbSIXurOJLfQaxS8e3OEltpyE2OQFw+hN4m216e+V4zH3j2KD6M6ocyeLCAULFQsuwZSisJLSyZH2CmX6D3bjH3/5MbRkEkoqORSGLUKXJWRWCebIRE7FUs688jOGlydlxHR0WZsbt3cQmKnBAKBQOgxicbDQquyzrY78dT7x/DjG83ocvvYuPir0+34tqUTq28Zh9YuGm6vHyOMGhw+Y4VSKumRP0okYVt0+ULa38w5z94xCWveElcd6YvM5ITegXS0+xCxUbDoWSiVXILH3j0KJ+1H9RkrZo0bIqiPPX9iDn75QS1rlE7aD18giCf/XstruBTQq0mO4ukcrrCMAhApa8C3N0dsyXxfSSIQrlzEZPfW3DoedlfkjPHG2ycAOIL7ZxXgmQ+Ox4xMz5+Yg5vGDcHHxy8CiO2gMrPfW/fUo9RsxOO3T0i6k50o8ZIw/uKWcZiclxGhbLC3rjVmHzpA7JRAIBAIyZFMPMy3KutsuxPr3z2CB24aw+tvl5fm4/mPvkFhjh7VjR149NbxuN5sQk4PfWoiCdui2xrvnA4HHTdLel9lJiekHvF00oSUYHPSON3qwOq/fS04CgYAo7O0uDovA6OztBieocFzd0zCnv+6Ad8rycFj84oEEylt3n0M43L0EZ+X5Bp496cw57i94tnJe0K8hBYahRQahRTAJVkDvr058TKokxcPobe4YHcL2usjO2tgTFOwtso41RyDGo8vLMav/nGcd4Br8+5j+NnNY1BqNgIQt9Gq+ja4vH7e71JBPBs92+FC+etfobqxAy8sLmHtNS38LxdipwQCgUBIFDH/yhcPczuuZzucqG22w+byojBHL+hvX6tqQGGOHteNCnW63V4/qECwx21PJGFbsufY3T7R7z2+wIDNTE6ID+lo9zJNVhdWbq9G/cUuwRErZhQsGr1GAZVcig3vHEX9RYdgUL6vrhUluYaIz/oz+I2X0MIfCKLcEsoKybw8mL05XBKRFSMQUk2T1YVvW5K3VwDocvsEz9sXPq8kLwOvLp0KjUJ8QRGTlbQ3SDSxGxOwMPaappAROyUQCARCt+iJfz3d5sDqHYcx57f7cLrdiZJcg+hMcEmuAf5gEA9sr4bHF4A+recrqxJN2MZFqxT39TqV+PcGtTzprZ6EgQPpaPci3L0ciXZ8bU4a37Z0obqxA41tDnx64iJWWEbFNVSNQoaKZddg5SwzNAppvwa/Jq0CZVHBOEOp2YjPT4ZegNzkFoyuLzeIrz5jhSU8+xcNn1wRgdBTGJvlWyLNpcNJo7qxA99e7ILNSbN22+bgDxAYNAopCrN1oCgKclTr31AAAQAASURBVCkleqxe3bs2Gt1hZohWJ2AClhkFJhg0cmKnBAKBQEiaRP1r9ESQzUnjxHk76lu68OOy0Xh3ZSnyTWlxB6s9vgC8vgAm5xmQl6lJyRYmMd8p5O8UUgm7ki2aUrMRaQqpYJkWsxEjjKlpO6F/IB3tXoS7L0Mlj11yySVdJUeT1YX/+uvX2Pnvc+hy+RAEMMKkgUou5V2yycVJ+yKWetacswkadm8Hv3qNAo/NL4qpn9k3U1HZACB2nziTMfnjB2/A2/ddj++VDMfT35sY8wJKRK6IQOgOjM3GG6gCgB/96QDe+7oJZztcOHC6A6fbnZDGOc3h8eG+Nw6h/PWv8M2FTpSZ+Z1rWYEJWenK7lxCQvANbAGxNsqFsTlipwQCgUBIlkT9K3ciqMnqwso3D2H28/uwesdh6DRyPPvBccz57T5WolYIvVqOlk4PnvzeRAxPUb4TId8p5u+sLhrLS/MFY2Kbi+Yts6zAhKdT2HZC/zDok6E99thj2LhxY8RnY8eOxfHjx/upRZdg9mVoFFKYtApBfesZBSZoVTI8urMGS6aNwMVON4zpStS3dIGiKBxq7IBMQiWkj80sL782PxOrZhZAQlExySb6IvilEMqUWF6aD48vAKVMguozVjywvRpO2o+8TA2yeWQQ+DImJyMrRiD0BMZm4+lwnrzYhTfumY7Nu47i+Y/qAITsvGLZVEE97OiZ4sd31+LVpVMBBCOWv/WVjXKlwDqcNGwub4SNcom2V2KnBAKBQEiGRPyrxWyESh7qiNucNBrbHfjFnHG43+1HRpocB0934GCjNaFycgwqDElXIC9BecxESVbuVquUY/HL+1FuyeeNid9baUm6TMLgYdB3tAGgqKgIH330Efu7TDYwLovZy1FuCWU/XFaajyAQqetXYMKGeUWwuWg8eut4BBDEeZsLzTYXK1WQo1fhKoMGE68KJTzjdrbLzCasnVsInz+AG8cMwcUuD5QyKUYaNTjX7sLqW8bh4TmA0+OHViWDSi6BVBK5ZNXmpHHB7oHN5UWaUgqNXAqFXAoX7YfNRbPLc4IIQimTQimhIJNL0en2whdOLkEBCASBLo8P6SoZVDIJ5k0cBofHD4mEglQiwbUjM3HNiAwo5VJQFFDd2MFKOoi9TITkii7Y3ehw0LC7fdCpZcjQKDBUp4r7d7E5abQ5aPiDQcgoCi6vHw7aD51KBglFQSqhYIxqEyNDYXPR0ChlkFIUlDIJPL4Aujw+3uvgk65I9KXJPVevliNNKUOX25dQWT2p90qHsdmKyga8sLgEEiCiE3zz+Cysn1sIB+3HuQ4nyi2jcHVeBv78ZSOeXjQRf9x7EkuvH4lAMBil32nCQ7PHYuWbh7BylpmV6KN9QTyxsBgurx92lw8aZWj1CpN87ILdjQ4njS63D2lKGSgAFBUa8Wf0Oi/ZQcg5pymkkALo8vkRDALBYGjvuF4jQ5pChk6PD3aXD3q1DEqZBF2e0DNW19LFzmT/9+wxuHn8UPj8QThoPwLBIC7Y3aL2xdU1be2icarNAYPLC1rERpIl0Wfb5qRhc9CgJBS6aD/srtDxWoUUOrW8V+0huo1apQwOjw82F7FHAoFw5cL1r9vvnY7nPjge4V/LCkx46Ltj8eT7tXhsXhEctB8v7z2J8Tl6lOQa0O6kkW9Kw/sPWHC23YWDZzqwIpw/JDqu3ji/CH8/0ozvFg7Dty1dET4DADocNCQSCo6wf9Br5NDKpejy+tHp8iFNKYVaLgUFoNVBQ6uKjTEDwSD8wSAoAM12N7692AW9RhHzjteqZHh92VQY0pTwBYJwuL0wapUYnqHGjIIh8Pj8ONXahQyNAqOztOx5F+xuNDfbk45xgUtxri8QBKgg5JQEbl8AnW4vdCo5dGq5oOZ3k9UFm8sbui9qOdJVMnh9AXQk6cOE/PWVFqMOjB5pD5HJZBg2bFh/NyMGZi8HI3/zxcl23DtjFNbMGQ+HxwdfIIjPT7Zh3tZKOGk/nv2PicjNUGNXTXOMVMGqmWYcP9eJq/My8PCc8XB5/aB9AXx1qh1NVhdeqTwZ86K578bR+P4fPmdnp5hlKtv3n8aGeUXIM6aFJBb+9jX7stMopHh16VS89El9xAuQOXfHwTN4aPZYHDrRhnE5OrR10sjJUGPTe0djBgBWzjLDSftj2sbVCHfSflbSQcjo+Whsc2DNzpqYcp9cWIw8Y5rgeU1WF9a/cwRLpo2ASi7B1k/qYzpEyy0j8dT7tdh4+wTkGNS8MhRlZhPumzkaK7YdYO8v9zrEpCviXSf3XK7WclXUrCdfWT2pl3DJZpnsp3/7yXVwePw4b3dDSlEwpClinrtSsxF//cl1eGLXMew5fhFfnGyPGLnWq+Vwe/34/af1eGXpNdi062iEHBbfs1RWYMLjCyZg03tHWTkwpq6QDR/HY/OKEAQi2qNRSLHutkJMvEqPTo8PgWAQn33bxg4ERD9HTHkPbN+PKSMy8Prya+DxBiCXUti061iMbTyxcEJc+1q94zAOng5tYfnlP04k9NwmQqLPdpPVhd//qx7lllF4lOcd8fiCYtC0H0N6wR742piK9x2BQCAMdhj/euB0B9IUUjxy63i0O72wubzsDO8fP/0Wq+eMQ6fHhyd3H8NiAVnbh2aPw9dnrJg43IBrRmaivDQfaeFBzeozVszdUonJeQbcOCYL//H7zyN86/+72YyMNCXrOzUKKbbeVYLXKhti4t5VMwvg8fnxw4ovMTnPgKcWFkMioXC6zQmb24vcDA2+aGjD47trBWPBJ3YfwwM3jcHG946iutGKrXeV4IWP62LrmlWAEeHVY92NcYFLce6d1+Zhx8Ez+PnNY7F215GYsp5YWIwRUWWdbnPgEZ56Ny+YgAe2V+NMhyshHybkrx9fMAGbdh3DR7UtEZ9fzj7xstijXVdXh5ycHIwaNQpLlixBY2Njv7aHSYx0qs2BTbdPYD9njLDmrBUv7KnDklf2Y+ueevbzccN02BLV8QNCI3VbPqnHTeOGoaKyAf5AAPUXOuH2+jE5LwNKuQQleRnsLBgQynC89ZN6NlswU85rVQ0Yn6PHIztrwp3swxHGXm7Jx9aoTjb33P+cmoeLdg/e+boJ87ZU4UBjBzZGdbIBYF99K7buqUOzzcUrScbNZMx0amxO8URSDBfs7pgXEFPuIztrcMHu5j2PScQxLluHZpsrppPNtPu1ygaMzdZhwztHLg1ERC0F3lcfe3+Z67hgd8e8YBK9Tm4CPSBWa1msrOhzk6n3SoabgLDNQePJhcWYUWDC3dNH4PNv2/Dk32uxYtsBHGjswLMCUiLr3z4aI7HH4PEFMCRdiXHZOmzadZT3mYt+lvbVtWLtzhqMjyqTa8PnbK6YTvYLi0uwq6YJt22pxJ1//AJ3vbwf1Y0dqFh2De9zxM0qvq+uFd9edOBsh5P3PbSvvhWPJmBf++pak3puE4Hv2dYopJiYa8CpVgcOnW7Htxe7cMHuxvp3jqDcko9H3+Z/R6x9uwZOfyDl9iBkfz193xEIBMJghOtbv73YBSCU66Ni2TX4qqEdj79fiyWv7Md9bxzCim0HUFHZgIVTrsKanTVobHNi8bQR2CYga/urf5xAYY4er1SehC8QxIptB+Dw+LBi2wE2rq6sb8MT79fG+Fa1Qoa1b1/qeJZbQnlJ+OLeLZ/UocnqQrklH4carThndeHhHYdx1yv78dP/PYS5Wyqxu6Y5QgYzOhb83uSrWN8vWteeOvzrm4tosrq6FeMy95yJc1+rasAdU3N5447K+jY8Gu4HMDRZXTGdbObYdW8fwYtLJkdcn5APE4tFH9lZg3HZupjPL2efOOg72tOmTcPrr7+ODz74AL/73e/Q0NCAsrIydHZ2Cp7j8Xhgt9sjflIFI+d1068/xe0vfoZbX9gHozaU1EijkOKm8VnI0ql495RQFHg/B0Kfu71+/PiGUUhXybGrphkrth3ADyu+ZINprqEz50TLfjGfVda3webyYl99pCHE0/a9KlONLZ/Usx1rseP31bcJLnOJbpuYpEM0HQ5aVCO8QyDzM5OIoyTXgKECfwOm3ZPzMvCf1+bhVKsjrnwEl711rehw0Lx7dJnvxa6Tm0APEL+/0WVFn5tMvQOF3rRNPrj2uvClzzDrV5/i6b/X4qnvFWN20bAIWxV/1kPPFdPZrW7swIptB9jEZ89+cBxzirJRHd5bFg3fs7SP5zPusWlKWUR7hDq3VfVt6HT7RO2aqScrXSn4fmLaFM++gOSe20SIfra59/muV/bje7/7HDf96lM89Nevcee1eXB5A6LvCCftT7k9iNlfT953A4m+tk8CgZAYA802o33rTb/6FI/urIHPH0C6UsbrZxgfVt1oRbZBBZVcKiyXGfa5zLu1zGyKyIHCwOdbg6Ai6mZiYj6q6tuQpVOhJNeAcks+tohMREVPvDCxYJZOGRFHiNaVroTN5e1WjAtExrnVjVYM06tFy7JxMsDHq1fGyfYq5sPEfGGlQFwzWH1iIgz6jvacOXNwxx13YOLEiZg9ezbef/99WK1W/N///Z/gOU899RT0ej37k5ubm3S90SN1jMRP9CiOk/bjo9oLsJiNKLfko8XuEZT6iqeb66D9+M74odjwzhHeYDra0AF+PW3mMz4t7XgyZJ6oADbu8SLfR3+XqLa33S2eaVLoeyYRh8cXiNtumZTCa1UNcWUo+MqJ1z6x67RHfZeMHnr0ucnUO1BIhW1y4bNT7nd8s6QLJl+Fh3ccRkOrI+L+J/KsC3V299W3YfOuozH2GX1+Ip8xn3e5I98XYp1bW4LPcSK2Ec++uOUJkeyzGP1sC97nula8VtUAezz5GJc35fYQz/66+74bSKTaPgkEQmroL9tMNBbWKKS4Z8ZoPLyzBqfbnbw+gvFh5ZZ8PL7rWMJ+CwAemj2WVy0j+jgg9P4X+57vfI8vEHciKroDyfhKrq9OpK54/kssxuTGueWWfNidiceFifhNoXP52iCE0D0YjD4xEQZ9Rzsag8GAMWPGoL6+XvCYNWvWwGazsT9nzpxJqg6+kbpV26vR4fTi4OmOmOMrKhuwrDQf148KpfaPljbQKKRYOcuM9Dii9VqlFMEgkpph5ZNRYD7j09KOJ7vgiBoMiHe82PfR3yWq7a2Lc5+EvmcScShlkrjtztDIUVXf1q3ri9c+sevURX2XjAxG9LnJ1DtQ6KltchGyU2apFN+oK9OB2xf+23Pvf7y/hV4tj7vCg28kV6x8oTqVMgm0qkjJPzEHnuhznIhtxLOvROpL9lmMfrbjBTy6OBrk6Wp5yu0hnv119303kEilfRIIhNTRH7aZTCxcbsnHr8Jbr7h+hol/X106FRqFDBXLrsGNY4awPlgM5vurMtRYse0rwcmqmHevOrk4i2lvshNLjK/k+upE6ornv8RiTG6cW5JrQJoqvrQwe24CflPoXL42CCF0DwajT0yEy66j3dXVhW+//RbZ2dmCxyiVSuh0uoifRBHbe7DunSP48Q2j2JfGS0smo2LZNSi35OPhHYchDyd7aLF7WD097hLI3TXNgtrXZWYTAoFLHV3uy4mpZ+UsM5sFHIiVE+J+ZjEboVfLURal28fIJfBRajZCrZAkfHyZ2Si4lyS6bcloe2ekhaTS+LCYjchI4y+HScRRfcaKC3a3aLt9/tB9jHc/ou/vjAITMtIUMXqI3O/FrpNpI4NY/dFlRZ+bTL0DhZ7YJhcxO93wzhFcsLvh8fkjbEejkEZ04KJtteacTVj32mwSdC5cW00LBxJMfQx8z1IZz2fcYx0eX4QdiDnw6jNWwbZz627p9KCl0yNqG/Hsi6kv0ec2EaKf7XgBj1YhFX1HMJKLqUTM/nryvhtIpMo+CQRCaulr2xTLm9FkdeH3d0+J8a37OL71gt2NWeOGRGy1WvzyFyh//St2JpvrR6Jj3jd/NA0A8J3xWTBoFCjM5r9ePt9KIRjhH0L+UTjOa7G7UX3GmtTECzcWbLF72Pri1tXpgV4t71aMC0TGuQAi6uYrS8/pPMer1+e/5HfFfJiYL7QIxDWD1ScmwqDvaD/00EP49NNPcerUKXz22WdYuHAhpFIpFi9e3Cv1ie09OHi6A3MmZOPfUfszv2604s0fTYcEwDUjMjFtVCZWzjSjNLycnFkCWVHZwCtqX2Y2YuUsM2qbbdAqZYL7QKsbO5BvTINGIQ1l/Z5ZELGUhskwXNtkw5MLi5FjUOOZRRMjOtsVlQ1YOdMcE5TPGjcEq28ZBxkliTmev80mrJxVgGy9OuY7S7gdTNuS1Q0eqlPhyYXFMS8EJiOj0L5wvUaBpxdNxIlmO7L1avZvEN3u5ZZ8eLx+8esriL2/zHUM1anw9KKJMS+aRK6TaSNzLlN/9LXylRV9bjL1Xm4I2alGIcV/XpuHh/7v37j1hcoIG921ygKdSoZdqyx4delUvFN9DlNGGtjnhKKA+2aOjnkWSs1G3DfTjL11LRFOi6mPa6t3hgMJbk4FPlstKzDh8YXFqG2yxdTF2PBwvZq1A6bTLtSZPtZkw3/NHhvzHJVybHFGgQkzxwzBjWOGYNWsAl7beCIB+5pRYBK0m+4+i9HPdryAp63LhccX8L8jnlhYDI1UknJ7ELK/nr7vCAQCYaARL2/GDyu+FPStX55sxXWjjPjv2eN4twAxMH4kukN+3xuHcNfL+/FaVQPWzS0UjLnKCkxYNSvWt7poHzYvmICbxg3ByllmTM3LwNq5hTETT0zW8RyDGhWVDWixu2OO4R7LdCCjY8Gdh85i3dwiWMzG0DVZ8mN8NZN1fOaYIcgxqLsV4wKRcW6WTonVOw6zdUeX9Xi4H8CQY1DjCYF6Ny8oxv1vHIq4PiEfJhaLPrmwGCea7TGfX84+kQoGg8H4hw1c7rzzTuzduxdtbW0YMmQILBYLnnjiCYwePTrhMux2O/R6PWw2W9xRwOrGDix86bOIzzQKKcot+bilcBie+aCWd2l3mdmE6aMz4fIGUDraCLlUwuri3vLbfexxJq0CzyyaiCydEl1uPwwaOWwuGjKKglIuxd66i8jQKLA7SgKMrafAhE3zi6CUS+HzB+Dw+OCg/REavIYoLT6ujrZGKUVahI52SFtbIZVg/TtHcLDRGiM3pVFIsW5uIUryDOh0+6BVyqCWSyChKHgDAUgpKqTfF9YJ1iikkIKC1UVDq0pOI5pLhI62SoaMtMR1tNsdNCQU4A8CLq8fTo8fOrUMMgkFiqKQppThv//6NfaGJbbKLfms9rFBLUeOQQUJKHjC9zhdJYdJy6+j3RnWN47+Pl4bmXN1HB3tRMrqSb0DjWRsk4uQnW5ZXILXq2IzfgIhR1eSl4Gte+phMRuxfl4ROhxuOOkAhurUCCKIO37/ecSzwEiSVFQ2YMviElSfseJYkw2FYd3PzDQFfv3PE/zvhAITNs4rglxKIRAM6VU7aT/0ajmy0pXQaxS8OtqgQkuzGAfZYnfD4fHhid3HcGdYCiVa6u+xeUXwI4A0+SUdbZ06pHdvd3mRpox8TmxOGjaXFw7aj86wdqZGIYXb70eXy8erFcrAPH8Ojxd6tQK0iI0kg81Jo6XTA6vLC6NGgQ3vHeUdTJlRYMKzd0yCx+NjdbQZW+hLHW22TlVIcsbuGvz2GE2i9nno0CFMmTIF33n0NWTmjU26nlP7/4H9FRth+fmLGD6+pM/PB4D2xhP48InlOHjwICZPntytMnpCT+8h0P/XQOg7uus7EyXax/785gIcONXOm+iL61tvGjcEG+YVocnmhlYpw9wtlTHHr5xlZv3o1LwM5GSosfm9o7x+dEaBCVsWl1zyl46QPnO6Sg6VXIJAMAgZJYHNRbN+DgCsDhqQUFi7swb76tvYOO/6UUYoZBJoFFE62koZMtMU8AWCeHjHYezlyr0WmLDp9iJQQSAIIDM848xoRWuVMihlEgSDQTi9IX9oTAv5Rns4Lk5TSJGhifQN0TGuTi2Hx+uHNQE9a5uThtXlxdq3j6C22R7Rr9CqpHB4/Bg/LJ33fEZHm/FhurCOtjVJHyYUi15OMWoiDHod7T//+c99Wl/08lCuzjGzr4SPg40deGx+Eda/eyRCD/DVpVMjynp60URU8ATK6+YW4q6Xv4CT9uOvP74Oj+w8wlvPvrpWnGx1YNtnp/D0ookx8kB86DXiD7nNSWPl9mr22h7YXs3qBANAXqaG7RhE02x14XS7E1v21MVc0y8XTUQQwEN/jZTPSlRTb6hOlVDHOhq9RgEH7Y+ryfv0oonsC5X5mzEjb9kJ6P3Fu6/Jnjs0QV/Zk3ovF4TsVCyLaVV9G/tMV9a34Zm/12L9vCJW7uKlJZPhpP0R9htd58wxJvzH5Kvw6Ns12LqnHq8unSqcNbWuFQ1tDqzYdoB99gpzIp+rRJ5xpUyC//prqNP5WZSGt0Etx+gsbdJ24qD9ePTtI93Sg+6N5y9ak1OjkKJi2TUAEGPDzExCf0Hsj0AgXO5wfSyjqPP8R3W8xzK+VaOQYvG0Eax01UtL+Ad7/vxlI964Zzo27Toa148y2ar5YjpmxdZfvmzExtsnxPgqblzL+Pate+ojOu8AMHJIZJ1bFpfgvN2Nsx2hfC/VZ6y47YVKVmdbLL4cb9LyXgcfXP8vpEstFCszfuiZcBy7YtuBiPPEZpBzDOqUaFoL+cIrzUcO+o52X8PsPWBGs7hLv1fN5F8cwMykXbC7sWTaCKywjMKhxo6YDIlimXQ37zqGl384Fe0OGu1xtOY8vgCrS8d9WXSX6CVC0Z2Njx+8QXBm61/fXMSuw0281/Svby7i/cPNMRJjqWw7H/H0ppl6cwxqbFlcckWNvF0uCNnpkmkjRM/j7v2dPCIDn9W3orw0H0umjUBepgYrZ5lRUdnAm3RFq5IBCGIdR7850eQpPXnmufbJNxDw8YM3JDxIA4jrQQcRupdb99T3up2KtcdJ+1H++ldYN7cQ6+cWpmTGnEAgEAiJwfWxjKKOGB5fAPfPHI2Ldndcn3rntXkR2s/x/KjN5cVjPCucWEmtvIwYX5WIHKqQL3H7Ati06xiv3nRlfSverzmf0rg20ZiVDxLH9j+Dfo92XxO994DRqhPKGs7MpL1e1YC7XtkfsZ/6hcUlONJkY/cximYsrmtFu4PGim0HQMd56TD7F1OlS9dd2ajWLhpZ6UrBa8pKV8a8jBh6U1MvGb1pvUaB0VlaXJ2XgdFZWvJyGiRw7VSjkOK7hUNRXpqPqzLER2kZ2zFpFZgzIZvVq7/vjUOYu6US/+bRqwdCs71quQTBIBUx8p5M8pTuPvOplnUbaHrQQu1x0n6seasGEooi9kkgEAh9CDNb+tT3ijG7aCiGpCtFj09XyBL2qdGxcDw/qlFI4/qsaF/VE7/Z4aCF41qdKuVxbTIxKx8kju1fSEe7GzAjRB8/eAP0ajmbpMEfDMYk/+HKBXFhdK+DQWB5aSgxQqKzX8lkwk6FLl13ZaPsbm9SOtrR9Jam3uWgN02ID2On7z9Qhmc/OI4V2w7gn8cuiNrOkSYbVs4yY/u903n16ivr2/B6lF49k2Drn7Xn0eaIHNVPNmt9d569VMu6DTQ9aGKvBAKBMPAIAnj/cDPmbakS9K0ahRRPLpyAqzLVCfvUaOKpWEgklGg7GZ/F9RU98ZtiOta9EdcSHzi4IR3tbsKMEA1NV0Itl2LJtBEIBIJ49NbxES+EyXkZonqvxcP1eHjHYayfX4h8U5poncyonlBG39Ko7LZAanTpuisbpVPJk9LRjqa3NPUuB71pQmK4fQE0WV1YPG0EXlt2DabmZWDDvKIYeY1SsxH3WEaheLge1Y0dcHv9gnvCKuvbcEvRMHzwszL8/Wdl+PnNY3Cm3Qm7y4+MqJHiZGwV6N6zl2pZt4GmB03slUAgEAYWF+xunGp1YPG0PEHfqlFI8erSqfh7TTO6aJ+oT721OBt/uXc6PvhZWczKs3gqFrI4HW3GZ3F9RU/8ppiOdW/EtcQHDm7IHu0e0GR14ZFwxkKGm8dlYe2t49Fs98Dt9UOrFL/FtD+ALYtLsPHdo7g6LwOlZiNvx5w7++Wk/XhgezXW3jYe624rxDnrpYQMTKIiIHW6dMwy3OhMi/ESKpi0Cnx5ql3wmlo6PRH7aLn0pqZe9P7dvqqX0Lc0WV1Y/bevI+zTYjZihWUUpozMxLLSfEgoCjkZKnQ4aMilElidXqywjIKLFh+Vdnh82LqnLqLsUrMRi0qGo8xsjEiwwiQPvO9GMygAGqUMH9VeiLBVoPvPXnftUwgx++gPPWhir4TLhcbGRrS28i8BjUdtbW2KW0MgdI94vvXeGaNDS8kp4FyHC8sT8KmnWh24Lywf9dTCYpSZTewS7Gg/qpBJkKlRRGSxjuezon1FT/xmRpoCFrORN8M6IwEmpIjRHX9FfODghnS0u4nNSWP13w7jYHh/NiP3o5JL8e+zNkwZYUCHw8u7b5tLjl6N5/5xHJX1bTgUls4CEJmh22zCfTPNWLHtK/azkjwDsnQqKGQSjM/WpSzIFmxnNxIq6DUK3DhmCDtTH511fOaYIbhhzJBebztfu1LZMSEMPNjkIRwJOkaWKxAMYnbRMDRZXfjNhyfwwuLJeHFPfUTQ8OY900TL9weCvNtBnni/Fg/NHgfgRESQUN3YgdLRJuToQzZ7+Iw1ppPdk2cvlQlPhOyDm3U8FW3uaXuIvRIGE42NjRg3bjxcLmePyvF6ejcnAoEgBte3RkufquQSfLdwKNQKKda+HblMPJ5P5c4Eb959LKzIE4wYtK5u7MDVuQZk61UYNeRS9m4hH8HNOs7nK7rrN4fqVHhyYTEe2VkT0dm2mI2wmE24YWxWSv0V8YGDG9LR7ibn7W4cDCdxeK2qISLTb6nZiGtGZIR0maWU4MiXxWyETiXjnf1i5HlGZGrgoH34/GQbtiwuidDu/cuXjXjujknQaxR9klWwOyn5sw3q0B6dBcVw0L4YnWAA/ZIRkWRivLzhJg/hSvBx7dRiNmLrXZNjnCUAfHayTdBuywpM+Owk/xK4j2pbsMKSjykjM/CzmwvgCwTZJC8nznfClK6AzxvEs3dMSrm2ciolM7j2YXN5oVFKoZJJ4PEF8L8rpkGv7lt7IfZKGOy0trbC5XJiWvkG6LJHJn1+c83nOPLuH+HzCe8PJRB6G8a3CvnVpxYW4/2aWKUZMZ8avVLKSfuxYtsB/Pne6VjW6YmIe//8ZSOeWFgcU0aMz1JIIZVQkEooNk7mo7t+M8+Yhl99/+oIneuMNAUrx5Vqf0V84OCFdLS7gc1Jo9nqxpawLm+0ZFdVfRs27jqGTfOLQPsDWFaajyAiZ3RLw7NDDjrSaUbL8/zhB1MwekgarhmRCavLC7VcikAwiNLRRpSZTbhg98DtC4SCdrewiL3NScPq9LKdXa1SBlBAMBiERiGDQS3nPSf00qKhUcogoSjIJBSMPOWL3avWLppt23CDOubc3tTUi66fe2+uNC2/KwWbM1IC78c3jEILR1JEJZeytnq2w8Xr+CsqG/DC4hJQoCIyiFrMRmyYV4T5WysF65dJJMjL1MDu9mJIugpOjw86tRxT8jLQZHXhi1PtONFsx8bbJ7Cj8jYnjZMXu+ALBBEIBuH0+KDXKGJsmXmeuzxeGDQK0L4A3F4fDOqQNrzd7YNOLUOGRtEjLWmu3eg1/O+UVCNmqwCxV8LlgS57JDLzxiZ9nr35VOobQyAkAde3CvnVoXoV715sIZ/KzDozK6UYnLQfHm8AOQY17K6QT8g3psFTPAx7v7kIi9mE7Cit52gfwcS956wufNPSBUN4kgcAr6+J54P4vs/Wq6CQ0fAFguhw0jjX4WR99+isxDWzxeogMevghnS0u0FLlxt5Rg32n2xDFieYzdGr8Lslk/Hvs1ZMyNHjYjjlfvQsNTMy98D2amxbfq1oXSOMGjz9fi0+On6R/Yy7hNNJ+2N+jxaxb7a6cLrdiS176mI6+8tL8/Hm/tO4d8ZojMjUsC+uJqsrRrePOf6p92ux8fYJcQXt+cqIbltv0t/1E/qecx1OnG5zQquSQaOQ4t4ZozC7cBjOWV2gKArHmu2oqGzAlDwD3r6vFO0O/mWYzOqSv/7kOvwiGITD40e6SobzNjfOdbh4dbQZ1AopJuUasD4qw6rFbMS6uUX4tqUT/3ltHja8cwTP3TEJDtqP9e8cwZ3X5uG1qoaIc7jPK/M8HzwdWknzy3+cwInznXjjnul4eGdNTF1PLixGnlE8wSIf/WE3xFYJg4Xu7pUme6wJgxnGt+rUMvz85gIBv5qBGwqG8J7P51P1ajl21zTH5Cth8AYCmPPbfezvjA/dc/wCcjM10Cikgh1PvrhXo5CiYtk14a1il3zNd8ZnYd3cQjz69hFBHxTto5iyXtl7EndOE/fdiUL84OUJ6Wgnybl2J+SUBOftbuyqaY7aS23EhvlFUCskWPbaAThpP15dOjVmlpqLWiGJSPrApdRsRPXpDozL0Ud0tCvr2xBESDps6576mN+5IvYA8K9vLmLX4dilPMzvJXkZ2LKnDnMn5uDWCcMAIMbYo49nyhd6ybH7eKLK4LatN0fmerv+eCOfhL7nbLsTq986jKr6Nvz37DGoWHoNtn5Sh+c/qmOPKTMb8fZ9pWhoc6DV4RHNoeCk/Thvc6OiKpTxtPz1r+Ck/Vg5yxyR8IxLqdmImrM2BBHklTHZvOtoKNt4VQNK8jLQ0unBpl3HMCnXEOOogUvP67N3TGKf55WzzOyxry6dik27jvLW9cjOGvzq+1cnNbPdH3bbm3USOyWkCpetDQCFu+++u0flkD3WhMEG41urG63Y/qPpOHiqXdCvcvWwo4n2qU7ah383dvB2si1mI1xRn3N96JY9dXhyQTHv+9zmpHnj3nJLfsyEEwCMzdZhTdRgNcDvf6PLKsnLEPXdifqv3vCDxP8NDEhHOwlsThp76y5iUq4BWz6pjzGsffVt2PDuUcwtzsELi0vwwPZqVv9PKJO4lKKw8fYirIua/eIup2E6zFyq6ttQXpov+DtXxD4rXSkqMVZeGuqgl5fms+fwZUyMPr61ixY0Wu4e2WiYtvWmwfdm/WTUceBhc9JYE+5kA0Bhtg4vflIXsyx8X30bNu46ipK8DGzdUx+T3ZRLmdmIfFMa5hbnRIy41zbZsOn2CVibpM0CoUBh9ZxxrB3ZXF7sq2vFsutHCg7G7a1rRYfj0vNckmtgj83SCdt2ZX0bOhx0Uh3t/rDb3qqT2CkhlXidnQCCuPqu1RiSPy7p8wfSHuuezK6bTCbk5eWlsDWEgQzXt66cZcaz4eS9XLh+teacTTi/SdinluRl4IHt1Xh16VTRrZVSKla2i+tDo7deMrR20bxxL9d3JvI5EOt/o89h4mGhcxP1X6n2g8T/DRxIRzsJWrtoZOlU8AViZ6sYmAD69apTeOOeabC7fLh5/FAAx3mDcgftR5fHh5K8DJSX5oP2BzBEq4RCJkGzzY2td01GhkYOjUIaM+rn8QVEf+90exHk+Twa5nuPL8Cek8jxnW6v4DF2ke/inZsKeqv+/p6pJ/DT2kVHZEEdqlcLanZyB6U27z6GiqVTAQox2ySWluajtdODczZXTCLCi10e1maZz2vO2XC0yYYti0ugUchQsewadi8413a73KH/e3wBdvQ/no3a3ZcCCu6xTFmJnJcI/WG3vVEnsVNCb6HNyhu0e6xTMSuvVmtw/Hgt6WxfIXB9641jhgh2Khm/ump7NaueUxkV8y4tzUd7lweF2TpsWVwCrz8YsbUyOv4dqldi5SyzoA8V2sJld3t5faqQn03G/0afE+/cRP1XKv0g8X8DC9LRTgK72wvaH4DTIx7cenwB7KtvxbLSkVix7QBmjRuC1beMAwXgTIcrYo/2n8qvhUohxdY99WwWx9989E2MvBczQ859sXDlEPh+Z0TshfahRp+nlEkSEr5njhc7VhennETq6Qm9VX9/z9QT+LG7vRFZUEtHm0SPZ5yjk/ajPJzd9Cc3jIZCJoFaLsUHR8/jge3V+MuPp/MGFnMmDIv4nFv3bz68tKSu1GyMsV2tKtS5NqjlSFOEXsHRthuNjrPEnXssU1Yi5yVCf9htb9RJ7JRAiKWns/L25lPYX7ERra2tpKN9hcD1rTaXeGfP4wtEqOesmTMeTq8/xqcyetncrZVC8a+YD9Wr+X2DTiXnjXuF/Gwy/jf6nHjnJuq/UukHif8bWJCOdhLoVHIEgkEE40z5MobHBPN7jl+ExxfA6lvGsS8YINSBrqxvRfFwPSxmI64W2Ouxr74VAQTZPdhArBxC9O9cEfsvT7WLLl9nlre3dHowYbgebtqPsgITr6Eyx3PL58OkVWBGgSlC84+vbb1Fb9Xf3zP1BH50KnlEFlQhB8zAdY5O2o+zHS7c98YhlBWY2GXcFrMRLXYP7/lapSzi+Sq35PPaLvM7Y7tMmRazESOMGrYcsS0mMwpMyEi79Dxzj2XKEpIPzEhL7jnvD7vtjTqJnRIIwnR3Vj4VNDY2orWVvxOQKGT5et+hV8tZhR2xnCbAJb/KdJ4Ls3XY/mUjr09lVnMxsWayPrSswMRmEI/GpFXwxr1Cfrb6jFXQj0b73+iy4vnuRP1XKv0g8X8DC/GhGEIEJm0oZf/Ji10oM/PPmHE7vNxgvqq+DRTFebmYjVhuGYk/7j2J1TsOY/28Ilw/it9YmfNLcg0AQgH08tJ8VFQ28P7OFbHXaxS4ccwQrJpVgFKzMaaty0vzcazJhlWzCmAZbcSjO2sw54V9WHr9SMHjTzTb2fKF0GsUeHrRRMwoiLxP3Lb1Jr1Vf3/P1BP4MWkVuG1CNnbXNGPFtgM4b3fBEvX8MkQPSgGXbHVfXSsoioLFbMRj8ydg9Y7DMed/Z3wWZBSF+2aaWRspyTXEtV2L2Yj184rw1qGzePp7EzE8Q8M+pyea7Vhemh9jc8zzOlSnYp/nisoG9tjVOw5j3dyimGtlso4nK/HVH3bbG3USOyUQBh6NjY0YN248pkyZ0qOfcePGo7Gxsb8v54pAIZXg9aoGLHllP/Ycb0FZQfzYl0Epk0T41PXzirB6x2F29vqN/afZWDMZH7rz0Fn8UsQ3CMW9FZUNWDWrIOYaTjTb8cTCYl4/+viCCRH+N7qs43F8d6L+K5V+kPi/gQWZ0U6SzbuOYcn0kVg5ywwAgnqAfC+di50e7LyvFL6AH1+fsWHlm6GlME7ajyNnrRiqF09QkK6S4YOfl0GnksPt9ePNe6YhXSWHViWDw+Njf48Wsc82qKFRSPHkguIIHW2KAgLBIDbMLYJaIcUjO2vwUW0LgEuSZCsso6CSSZCZpoBUQkEqofDcHZMSMvocgxpbFpegtYtGp9vL27bepDfq7++ZeoIwG9+7lH37+Hk7HptfhI3vHour2Rltq+lKGcot+WjqcGHssHS0Rkl2PDa/CA+/VYODpzvYvWUahfirVKeSY/PtEwAATy6MzJSaY1DjuTsmoc1B47F5RfAHgnDSIekT7vOaY1Dj2Tsm4duWLnR6fFh9yzjQvgDOdjixYX4RvL4gujw+6FQyZKR1X0e7P+w21XUSOyUQBh6tra1wuZyYVr4BuuyR3SqDLF/vO2xOGmt21rD5TigK2DhfPHkv9zPGr6YrZVg5y4y7Xv4CrV10hHLGFyfbUW7JZ7dRCcH1oU8s5M82zoUv7tWHdbS3RvkarUqGTe8dxdV5GVgeJcO7edcxPHfHJEEf9asEfHeipMoPEv83sCAd7SRo6fTgo+MX8dnJdvz4hlHYOL8ItD+Ac1YXALD7rkvyDDEvHQAIBoHHdx/D5tuLMG1UJnatLIXHH0SX2wetSoamcDlCSCgK5zpcOAcXrsrQIDNNgQ4nDYoC0pQyBIPhJSPhRI1c4+QTumdS/7c5PNB4Zbh/phk/mD4SX51uR0VlQ8Qe1I8fvAGjs7QxbYonH8BXbyKkSpZAqH6h8hO5nqcXTcTDOw5HvMT6aqaewA+TsIVh7FAd7vzjF/jfFdNwzuoC7Q/gqgw1jpy1R+z14gsQ0lUypKtlUEgl2Di/CN6wjaarZJBQQKfbx26rYGzk1aVTRdtHUcAT79fikVvHw+byoqXTE+oUc56xeM/OBbsb7Q4aFEVhuEGNC3Y3Vu84zCoFAMJ2CiRnU4nabSrlQ5K11XhlPbNoIv71zUVkpSvh8QWgkktxwe7GzDFDiJ0SCP2ILntkvy1dJyRO9F7fCTl6XOy8lAhUq5RBq5Th8FmbqF9NV8sQDAbxu7unQKsMdTsY38ksM2dWbAqRrpaBDgTgcPvApB9L1F+MMKWJft/moLG75rzofWD8E1+dYv6ku7FmEGBj+WRJJk4lEmC9D+loJ4HVGdrX4KT9+M2HdZg5NgvtXTSqz1gxu2gors3PxHWjjPj8ZFtM4rIyc2gf5r66Vjg8fijlEjz27lG2c/DSksk41mwX3OtRZjbhmwudeGTnkUufFZiwwpKPdocXr1SejDgvXhp/vtT/3KXk0ckn+PZ09JZ8QG/LEgiV//iCCdi06xg7qy9Ub3/P1BNiid6T5PEF0NpFwxsIYMW2AwBC2zbeXVmKP5VfyyZ1YQbHmOe8rMCE6sYODNOHRsO37qmL6MCXmo1YNbMgpv54Mn7fXOjEndfm4cndtZg1PivCjhN5thvbHDE6nxazEW/cMx1LXvmC7WwL7b3qDZvqC/mQntQRBPD+4eaIFQ0zCky4YcyQlLSNQCAQLmf4/GqWTsp2kt9bVYo7/vA5tiwuwcs/nAqbyxuR7NcZzvdTfboDazg+j29gWsyHlplNQDCID45eYJON8vmBeP5C6PsN84t4lX0YurunOdlYM9EYNBESiVOJBFjfQPZoJ4jNSUOliL1dTTYXvm7swJl2F37yPwfh8vpR3dgRYbClZiPWzh3P7qG2urzYyOlkA6G9LNy9l1xKzUZsmF+Ix3dHal/uq2vFq/sa0GxzxbycmDT+Nmds5kWh1P9V9W14raoBhTl6vFbVgHLLJV3u6D0d8eQD+OpNhN4qN5HyH9lZg3HZuoTq1WsUGJ2lxdV5GRidpSWd7H6GGSVnYPZcM8nCgNAA2cVOGj+s+BJBABVVoVUb3FH4DfOKsHl3LZptLmyJ6mQDIRvx82RDFLPd5aX5eHx3LV6rasC4HF3Mku54z/YFuzumkw2EpFM27zqKZxZNZD/j23vVGzbV23ba0zrYc+t7r30EAoFwOcPnV7k+tcsd2vq4ans1XF4/3th/Giu2HWD9apnZhPtuNGPz7vi67WI+9L6ZZhw+a8PMsVns59Hv8nj+glkBxvf9Y+8ejYh3o+nOnubuxJrJxKCJIBan9oUPJ4QgHe0Eae2iEQwiIgnaJydaMHpIGtbPK4JeLWdlDUryMvDq0ql4aclkvLp0KkryMtBsdbMBvU4tiwngq89YUZJn4D1/bnEOdtc084627atvFdyLyaTx57sWodT/TNIJbvI1vj0dicgHdIfeKjeR8is515zqegm9i0IqQRnHQTOj49HJwrQqqaidegMheZKhOhVvBlIA+PxkW0wyRKbMucU5+NtProsokxnZZ2yKT3dT7BnrcNCCSWIq69uQpQtlXhXae9UbNtXbdtrTOvqifQQCgXA5w+dX/3bwDOtTGZktIZ+68fYirNj2VUzsyvhnLkwZtxVnx/jQFdu+glEbm2Gc+y6P987vcAh/v6+uFdeP4k+e2t09zd2JNfsyBiU+su8gS8cTxO72Ym/dRay6yQxQIcP8n89PY9bYoaB9AUgpCtt/NA1V37ahorIhZkab+3+fn39G7IXFJQAi90aXmY1YO7cQC1/6TLBtGoUMFcuuwaHGjpi6+Za8xEv9z3QEPL6A4N7j3pIP6G1ZgkSvPdX1EnoXq4vGurlF2LgrlBCNsafXqxpwz7av8OKSyXhEKoHT48ObP5qGz3js1GI2Yv6kHADCzwEQstWd912PTbuORXSAp+QZMHmEAQtf+kxwCVqaUoY0BXjtVegZs7t9otfe5faL5gjoDZvqC/mQntRB5E0IBAKhZ0T71T9/2YiKZdegw0Fj5cwCKKQSPLVwAjbvrmX3WjNYzEZsmj+B1xcy/lkCREw6TckzIEunwg8rvow5T6OQQSqhsHKWmddvxnvnx/OjSrkkJoFYT3LvdDfW7KsYlPjIvoN0tBNEp5LjD5+exK0TsrFpfhEu2N3ISFPg8V3HIl4UFrMxYn9zdCby5aX5sDljH2BmNK/cko+H54yDw+OHw+PDkHRlxGw4H07ahxXbDqA0qm6Af8lLvNT/zLLbUaY0bFlcwvuS6S35gN6WJUj02lNdL6F30Srl2FXThNuKs1EezhoqoyjcYxmFPKMGG945ImqnjGzIBasbgPBzAIRstdnqRkleBh6eMw5n2l1QyiQJ2arD42P3jEfbq9AzpoujXWrQyAXtNHR+6m2qL+RDelIHkTchEAiEnsH41bnFOfiRZRSyDaqYmLeswIRXl07Fim0HWN/H+FOPn79zy8S7f753OpZ1epCmlLHx7p1//ILXhzppHxa//IWg34z3zo/rR9WKlObe6W6s2VcxKPGRfQfpaCeISavA1BEZeP9IM64blQm9WhEzowWEln5QFIW//uQ6uL1+qOVStDtpbFlcwiaIWHvbeJSZjTHLx510aH93jl6FJpsb1Y0dKMnLwHC9ivd4IFJCgWlLuSUfW/fUCy55EUv9z5Q3o8CEbL1K8CXTW/IBvS1LIFa+hUeSLVX1EnoXk1aBI2dt+M9r8/B6VQNrKytnmfFq5ckY22HsdMdProcvGECL3YPffHgCo7PSAYT2RYvZ3IHGDlQ3dgAIZU8tNRtRkpeBnARtFYi018NnrILPWEaaAhazkXcpu8VsRGacLKG9YVN9IR/SkzqIvAmBQCD0DJNWgZqzNqyclYXaJhtejkq6C4RWdyIIvLuyFBc7aWhVUtaf/seUXEHfVZJnwD+PXWDj3K8bO3BrcTZvJ1sozuX6zXjv/Iy0+D6huyo5fHQn1uzLGJT4yL6D7NFOECZdfs1ZGxyeAALBoOC+yX11rbA6vaws0L1/OsgmiCjJM2D0EC02zJ+Asihh+lKzEStnFiBbr8axJhubAXz6KCM2zC+K2CvDHL+8NJ9NsgZc2mMttuSFuZYZPPUvL83HiWZ73OUyQmX0VOaqt8pNpPwnFxbjRLO9V+ol9C56jQIbb5+AP3/ZiCkjM7FrlQV/uXc65hQN4+30AiE7bba7MW9LFSqqGrBoSi4qKhtQajYiW6/GylkFvDbK2CVje8xntU02ZOvVWG4RTorGtVUgZK/XjzKKPmNDdSo8ubCY3WfOYDEb8eTC4rh62b1hU71tpz2toy/aRyAQCJczeo0Ca28rxB8+rcfVeRnCMW99KxrbXVj88hcR/pS7n5tLtB891mTDylkFsJhNgj43Os6N9pvx3vlDdao+9QndiTX7MgYlPrLvIDPaSZCmkGLtbePh8vpBURReXTqV1WeN3m9pc3mx/ctGPLlgAt766fXo9PigUUihlknhDQTg8HixKazDbXeHvtMqZHD7/LC7Kfz37LHw+4FJuQbc8YfP8YPrRmDj/Anw+P2gQMEbCKDD4YU/EES5JT+ibr1afCkpEJn63+byQqOQQiqhIJVQeO6OSQkZWTz5gO7qB/a2fJZY+c/dMYnIdg1CbE4abq8fq28ZB9ofQFsnjXyTBhc6PdAopCi35LOJyLj2qlXK8P4DZVDJJbA6aez46fUh6UoK8PsDWD93PHwBoMvjg1YZ0gKVSSk89N1x6HR7seOn10MqoRBEAJsXFMPu9sLu8mH93EIoZRLYXV7IZRI0Wd2gqJBtRb8vVHIpsuNIaeQZ0/Cr71+NDgcNu9sHnUqGjDRF3E42Q3dsFUC/2mlP6yAyfAQCgdA9bE4abQ4aDjeN/5o9FlaHV9SXpitl+OuPr4NWJYOECskr/uymMQAVxJMLi2F3++Ck/UhThhKoSSXAutsK4fEH8NMbzEhTShEA8Ks7JqHT44XXFxSNc/n8Zrx3fqp8QiLa00xMsnZuIQLBIJweP/Tq+LFmX8agxEf2DaSjnSCM3lxtsx1//tF0bHzvaIy+LnffiFImCWlm036ctboAAM9/9E3EiGBZWDfvhY/rsHDyVXitqiHie2Ykj9HtnjcxB3q1Aqv/9rVo3RkJLn9JxTIZoTJ6qlWdyiU8ybS7t+slpB7mWTt4ugMvLC6BXiVFnlGNs1YXKAAvLC7Ba1WRSQYZm0lTSnHe7sZwgwq/+vCbGPvbOK8Ii35XBSfth0YhDWVU/aQ+xv6eWFCM9e8ciXmun1k0ER5fABU8ts3YrF6d2F6ooTpVwh1rPpKx1bICE+6faUb565cyxvaHnfa0DmLPBAKBkBxNVhfWv3MEy64bidxMDZps8X2pRilFIBjE47uPxfi6xxdMwPf/8DnrSzQKKbbeVYLXKhtifOkDswqQo1fhsd01onGukN+M987vqU9IRHta7BjuDPxAiEGJj+x9SEc7Abh6c68unRrTyQYi94183djB7rM4Z3VhhFGDx949yru35dGdNaFlMVGBeHSZh89YkaaU4aG/fi1at9hez74inn7g1XkZER0SRrcv3iw8gRAN91lbOcuM16oa8Nj8Inz2bRt21zSjvDQ/ZgALCNkMBWDj/AmQSSk8zpNvoaq+DRvfO8rmPCi35GPrJ/W8x619m/+5/tc3F/H+4WZB2143t7Bf7VXIVvfVtSIQDLLXDhA7JRAIIWpr4+sip/I8Qt/B+IRJuQYY0xWo+rY1YV96qs3B+/36d45i3dxCrHmrBgDY2enovdtV9W2QAJhTnD0g49x42tNbFpcAQNxjiP+8siAd7QTg6s1l6ZSCez6r6ttw341mzJ+UgwUvVrGf076AqA7u6jnjBL+vqm/D/TeaseTaPHS5faL618xx/W3E8fQDl5fmx3zO6Pb1d9sJgwvus1aSa8DWPfXw+oMYqlOhqr4NKyyjRG2P9gdg1CiE93HXt2FZ+Hllyhcqi++5zkpXYl+9sM2un1vYr8+8mK1W1behPOqaiJ0SCFcuLlsbAAp33313j8rxeohG70CF8QnLrh+JIKikfKkQ++pasfa28WzyLTFfyvW50fR3nJuo9nS8Y4j/vLIgHe0E4OrNdbmFpXsAwB8MoqHVwUp7VZ+xYobSJHpOvDKZvShMluN4x/U3RKua0FdwnzXmuep0edn/u73ittUZ3u8sBldXPpHj4n3GxSUiBdYXdMdWiZ0SCFcmXmcngCCuvms1huSPS/r85prPceTdP8LnE9c0JvQfjE/w+AJJ+1K+jNkMLtrP7gduc4gPtIj5zf6McxPRng7GKYP4zysP0tFOAK7enFYlFT3W6wtAJqEi9LNnFw0VPSdemcxelHi6d4nu9extiFY1oa/gPmvMc5WulqPL44v4TIh0lQwX7B7RY5gy4pXF9338+vv3me+OrfZ3mwkEQv+izcpDZt7YpM+zN59KfWMIKYXxCUqZJGlfGq2qEfm9/NJ+4JYu0bLE6urPODcV2tPEf155EHmvBGD05gCgxe6JkR9gKDUb0WJ3Y0i6EiV5GXhgezWm5Bng8Phi5H4YLGYjWuwewe+5enbcdogd19+ItZNoVRNSCfdZqz5jRanZCJ8/gBa7m11RImZ7Pn8AX51uFzyGq98Zryy+57ql0zOgbVbMVqN1v4GB0WYCgUAg9A6MT6g+YwWFYMK+VCWToCTPwPt9tN8Q8ztl4Tg6kXL6mkRi8MESpxP6DtLRTgCu3tzqHYexYW6hoAb2ML0ad/7xC1Yze+WsAgzXq7FqVkHMS6qswIQnFhZj56GzWF4aq70brWc3WHTviFY1oa/gPmsVlQ1hvc2TuG60EStnmlmdzmjbspiNeHxBMe574xB7XrTWZ1mBCatmFbCj9BWVDVjFo60t9lzPHDNkQNuskK1GXzswcNpMIBAIhN6B8Qknmu1o66RxfQK+dPOCYjRbXVg508wb50b7DaYO3jg6rKc9EH1mIjH4YInTCX3HZbN0/MUXX8Szzz6L8+fPY9KkSdiyZQuuvfbalJXP1Ztz0V48tWACHF4/7C4fNEop1HIpFBIKDp8ffyq/FmqFFBq5FGlKGbJ0KujUcjyxYAJc3gC63KFz0hRSGNRyPLGwGG0OGo/NK4I/EGSlC/j07AaL7h3Rqib0FdxnzeHx4v/dPBb+YABXGdRYe1shPD4/1s8tRCAIdLl90Kpk0CqkQDCIP/xgCmtvTy0sRpfHBwfth1Ypg0RCQUIBf3+gDDYXjTRl6Fnd2o3neiDbrJCtAsB7Ky0Dss0EAoFA6B1yDGo8d8cktDlo+INB5MbxpU5fKKY1pimx+fYJcHn9Ib+qkmOoTsnrN3IMamxdXIKWTg9srpBGd5pCBoMmtMR8oPrMRGLwwRKnE/qGy6Kj/Ze//AUPPvggfv/732PatGl4/vnnMXv2bJw4cQJZWVkpqaPF7obD44M34Ee6Wg6H14/O8ItGJZPA4w+g3eGDVimDVikDKEAhoUB7/Th5sQsuOvTi0allMKUrYHXQ0MilaLa52XIkFCCRAAaNHB0OGh6fH+0OGhQATyCAYAAABVAAAkHAFwjCHwzA6vLinNUFJ+1HmlIGCgBFhdpNUYBMIkG7w4N0lRwauRRdtB9dbh90ahlkEgnsLhoGjQIef2gQgClDIgFUMimcXj86XT6khQcUggA6HDS0KhnkEkAuDZVpd3mhV8uRrpJBJpXA6qTRGS5PQgHnO91otrnZa1DKpehw0vAHgrC6vLA6aWhVcpjSQi+j1i4aXR4vMjQKBIKhAQgH7YdOFWqfXCqB2xdAl8cHvUoOhYxCm4OGOjzAYVDL4fEF4PD44PT64fT4ka6SQR0e4ACANgcNXyCIQDAI2utDhkbJDqBolaHBEqmEYu9ZmlIKtUIKOUWBDgTh8vpBe/0wapVwhZOFyKWSkKMJ16eQSSCTUOzeotYuGna3Fzp16FqZl6/NScPq9MJBhzp7BrUcWekhJ2Vz0qxD0ipDZhtEECqZFBQFBINAZtqV+SJvsrpgc3lhd3lhTJdDQgFObxDtHk/o/kulsLloaBQypKtkCCIIXyAImYQCFX4W5RIK3kAQoEJ7zbh/Q51ahnSVHG0OD3yBABRSCayu0HMmoUK2cMHuRgBg7UQiCSVla7K54XB7YdQq4QsE4PUH4fH50eagcd4esgW1TIoOpwdKmYy1DakEUEilcHDsKhTQ+GFz+qBVhYISp/fS9wqpBO0OGmqFFOlKGRxeP2zO0Hdp4YEFpz8AhST0vkIQCAJw0T4YNQrIpRSUcinaukLXqZFL4fH54QsEQfsDaLa5cd7uRppShnSlLBxE0NCrFfCE7VCnlkMtk8Dp8yMYqgJO2gedSg6VTIIu2ocujx/GNDmUMinsbh+63F6YtErQ/gA63T7o1XLo1HI4PD7YXPx2wtiQVimDQipBh9MDlUIGCUVBJqFgDB9/tsOJTrcP9nA5WoUUKqkEnV4/bOH7lqaUocvti7iWTo8vwv4YuHVHt4sPxm7tbi8y1ArQgQCcHh/0GoXoucnWQyAQCMnCvGfcXi90KgUbx+nUcqQrpFBJKHR6A2h3eMJxYSiwpBDKLaQO76UOBin4AoDD64dcIoE7HKfJZRSa7W58c6EL6SoZNAoprE4P0sPvWSbOMqYpIJVQcNA+tLR4QueGY0i1IuRnrQ4aLZ1u+IOX/KxKLoXXH0AQQJpcCpfPD5srFIczMaxGJoU3EIyIAZVyCZRSCVw+PyQUFXrnu31IV8mQJpeG4ntXpF/ixtZquRRSCpDLQj7XFwig3UGjw+lBhiZ0jt3tQ7pSBr1aDo8/gG8vdsEQ9gFdnLhYQoV8vdMb8o2GsP9zenzwhmNThyd0fOheB6GWSyGjKPa63F4/MtOYexrq2GsVUujCMWenyxuKV2k/aF8oXnVw/tZpCincfh+U0lDczOfzujxeGDQK0Bxfz+eXGJ9ndXmRprgUi/fEjw52LouO9q9//Wv86Ec/wvLlywEAv//977F7925UVFTg4Ycf7nH5Z9ocOGd1Ydvnp/Bf3x2LtTuPRMgBWcxGLAsnPmOyjf9kxmioM9VosrljtHdvHp+FX9wyDmvfORLxOZNA7c39p3HXtBH4QcWXoeXnM80wapV4/uMTWDQll9Uy1CikeGFxCV6vitQjjC7nzf2n8YPpI2F3+/BqZUNMnevnFmHz7mPYc/wi+/mscUPw8JzxeHRnTcS1hpbIm+H2BvCDii8xZUQGVs0yY9lrX8FJ+6FRSPHasmuwdU9dzD1aN7cIv426BoYyswnLLSOxYtsBbL1rMl7cU4+DjR148a7JcNL+mHtYVmDCyplmLH89VC/3un+w/UtMH5WJDXOL0GRzxZ5rNmHlLDOkErD35MT5Trz5o+l4hHO9GoUUry6dipc+qY+5B6tmFUBKAQ/+39d4Zek1eOy9o/jB9JFQySWC9Z0P7zti7hUQWk709KKJkAA41e7Elj11Mdf5xIIJ2PTeMXx0vCWiDczf+Edlo2DUKvHozho8clshcgZA5vm+4nSbA4/srEFVfRvGZGnxxx9OxZqdNbz2cPerIXvi3jevL4ggQh3Jl/edFP0bLreMxA8rvmLLYJ6zR24dj827jkU8I2UFJtx342is2l6NpxdNxG8+rouxO8aO/veLU/jFLeOx5JUvMHZYOn5cNho5GWqsCV8XA/OeeXjHYTy9aGKMDbHPf8WXmJxniHgnhZbKT4BUQmHz7mO4a9oIvFbVgOpGK36/ZAp06iA27DyS0Htl+/7TWHPreCx/7StsmF+EZ//5TUw7180twi//URvxTmHa/8u/H8cffjgFv9hxGNWNVrywuATPR92f6Hcqs+wuiFiNUjbx5CuX/r57T5zHzPHZ7LPBLffxBcXwB1z40Z/+jacXTcTrVQ04FG5H9LUwyx5zDGo0WV0xdTP2y2dzTVYXVv/tMA42duCFxSX49YeRZQudm2w9BAKBkCzMe+ZUqwN/WnEtHua8K4XiOG7c8YPpI6FVyfDCR9/wHvODii8xJS8Dyy0jsfLN0Hv8pnFDsHZuIda/fUQwrrz/zUNsHM2Uw/jZTe8dEzzvf784hcXTRkTE4fdYRkGjkMZcR1mBCT+7yQy9WoHH3ouN51dYRiGIYIxfYtr05/2NWFGWjxXbDrCx3M3jsvCLObFxPbe8X0X5AK5P5badKWvje0cF+wj3lo0GRQVx/5uhGCPav1jMRjy5oBhBgI2DT5zvxBv3TOeNLTYvmIDffHgCd147AiMyNcjm+LyDp0M+7Jf/OCHqwxifx5U0ZeLl6DKvJP826DvaNE3j4MGDWLNmDfuZRCLBzTffjM8//7zH5V+wu1FZ34pdNc0oL83HxnePxmjuVta3IQig3JKPrXtCAfqqWWZUfduG3TXNMdqD47J1MQYEgP29JC8Dr1U1sOUBwNzibPzHlFxUcILrckt+TLDNV05JXgaabS68z9OWqvo2bN51FFfnZUQExYU5etE23lacfal9wUvXXm7Jx5Y9dREBOnOPNu86GtpDy9PmkGEG8cyiiWxnc+UsM5ptLt57uK+uFQgGI+4R974AQNW3rfznhuu6f5YZFeGBh1eXTsXm9yL/tuWW/JgOF7eeucXZeHHJZGzadZS9x2L1zSnOvlRuuM1761rx8I7DuG+mOaaTzVznIztrcHVeRkRHm/s33vpJPeYWZ2Ph5Kvw8I7D2LK45LIeHWRosroiOlIv3j0Zj75dI/j34t535r6tmmVGw0UndtU0J/Q35JbBPGcb3o21k311rQgEQ88z3/POtaPxOXps3nUUzyyaiBXbDmDVLDM2vHsk5hzmPROvTKaN3HdSZX0b1r59BCtnmVGYo2ffGytnmaGQUxHXkMh75bF3j+LFJZPxzAfHedvJ905h2v/i3ZOx9u0jbP18dUW/U/fWteJf31zE+4ebY3TJ+f6+Ty8sjggcueWufbsGTy0sjriPQu3YF7bPZ++YFBMcAJfsN9rmbE6aDTiEyuY71+akk6qHQCAQkoX7nnl3ZSn7PmYQiuO4PqDZ5sLfK5tj4uHY9/Elvzk+Rx9TF/ccblwZHc/xxd7RfpQbN1fVt+G24my8X9Mccx376lpx64RsvF9TxxvP3xo+T8wHbv2kPsLnjMvhj+sTLY/bdqGyuMdv+aQOtxVnC8YDlfVtaLK7cPKig41pXl06FZt28bdx3dtH8ItbxuGZD45j7sQczBqXxT4jifgwADGdbG6bo8sUKudy9G+DPhlaa2sr/H4/hg6NlNAaOnQozp8/z3uOx+OB3W6P+BGiw0EjS6dCVX0bsnTKGKNkqKpvQ0mugf09TSnD0PB50ZTkGng/55bDLS9UtwpZOmXEecmUM1SninnZMFRGtT2RsofqVOw5++pb2f+X5BpE64m+Bi77or5n2i12fHS7metN5Nw0pYxtK9/fNt49yNKpIJNKIu6xWH1DdaqI+8awt64VaUqp4Ll8fx/utXKfj711rWjtEteoHMgkY5s2lzfinvn8wbj2wP1/VfgZYOw7meeN+5yJPyPCzzvXjhjbAELvjp6UGd1Ghsrw9XLbXJJriKkvkfdKZX0b++zzIfbMcv9OidTFkJWujHHiQtfdRftF29ZF+2PeNULH761rRYeDjgkOuN9H21xrF822NV7Z3HNbu5Krp69Jxj4JBELfkYxtct8zfO9xsTiO6ysTiYe5fjOZuJJbTkmuQbQu5rxonyEW94rF82Ln8cXo8a4t2fISje2H8vQLuET3Q8SO5fr0rHRlhM9LxIdxfR5fm6PLFCrncmTQd7S7w1NPPQW9Xs/+5ObmCh5rd/vg8QUAAF1uv2i5zHHMsdzfhY4T+557nMcXiKk/mXISPTaZsqPbl8h58e4h9/vutJt7XjJt4WtXInV3urxJtVXouGSeLb7Puc9Hp9srWtZAJinbdHlFf4+G73nl2mmyz1uyz5hQedHvl2RsJJE2Rp+bqvdKZxL3mwv3vGTvd6LHxnsWOl3emHeNGHa3T7y8KJuzuxO/Ru659ji229+2nYx9EgiEviO5uPbSe4TvPZ5s/Cd0TPT/u1NuMrGVUL3x2pfMd9zvU1EXX3nJHC8WD0T7+3ixAzee5fq8RHxYPN8VXaZQOZcjg76jbTKZIJVKceHChYjPL1y4gGHDhvGes2bNGthsNvbnzJkzguXrVDIowwkftCqpaFuY45hjub8LHSf2Pfc4pUwSU38y5SR6bDJlR7cvkfPi3UPu991pN/e8ZNrC165E6k4PJ5tItK1CxyXzbPF9zn0+0lVy0bIGMknZplou+ns0fM8r106Tfd6SfcaEyot+vyRjI4m0MfrcVL1X0pO431y45yV7vxM9Nt6zkK6Wx7xrxNCpxHdZRducTpX4NXLP1cWx3f627WTsk0Ag9B3JxbWX3iN87/Fk4z+hY6L/351yk4mthOqN175kvuN+n4q6+MpL5nixeCDa38eLHbjxLNfnJeLD4vmu6DKFyrkcGfQdbYVCgSlTpuDjjz9mPwsEAvj4449x3XXX8Z6jVCqh0+kifoTISFOgxe5GqdmIFrsnRvePodRsRPUZK/u7w+Njz4um+ow1RrM3uhxueaG63WixeyLKY45LpJwLdjfKBI61RLU9kTZesLvZc8rMJvb/1WesovVEXwOXsqjvmXaLHR/dbuZ6q89YBe8/c67D42Pb2mL3xLQ73v1tsbvh8wfY+xevrRfs7oj7xjCjwASHxy94Lt/fh3ut3OdjRoGJlWYajCRjm3q1POIZlUmpuHbF/X9p+BlgnpNknjfucyZWp9jzzrUjxjaA0LujJ2VGt5HBEr5e7nNdfcYaU18i7xWL2QifP9CtZ5b7d0qkLoaWTk+MNqnQdWsVUsF7aAl/H/2uEWrHjAITMtIUgnXz2ZxJe+n4eGVzz+Wel0g9fU0y9kkg9Ca1tbU4dOhQt34aGxv7u/kpJxnb5L5nmBiGi1gcFxFTJvA+5vrNZOJKbjnx2sOcF+0zxOLeUMzH336x8/hi9HjXlmx5ifYRLvD0C7hE90Na7B5Rv8j49JZOT4TPS8SHifkuvjKFyrkcGfQdbQB48MEH8fLLL2Pbtm2ora3FT3/6UzgcDjYLeU8YqlPBYjZh1awC/O3gGWyYVxjzcrGEMwFWVDYACD1UXl8Q148OZUSMfkCPN9uxfl5RzOdMRsFjTTa2vFBWxQJMzc/E3w6ewfLSfPa8isoGLC/NjzGc6HKONdmQrVdjuYX/2PXzinCsyRbx+bEmG9bPK4q5VqY92Xo1KiobUFZgwqqbzOy1V1Q2YOWsAt57tH5eUcw1MISyOudj9Y7DWBU+v6KyAdl6Ne89LCswYeWsArZe7nVXVDbgWJMN14828Z9rDp0rk1BYbgm1ZfWOw1g3ryjixVtR2YCVM82892DVrAKYs7S4/41DWDe3CLXheyxWnzlLC3OWNqLNTDblkZkarJpVwHudTy4sxvHmyP1W3L8x83zsPHQWzyyaeFkmk+Ajx6DGEwuL2Wf6/v89hMcXFAvaA2NP3PtGe4PIMYT+bsfi/A2XWyLLYJ6zx+ZPiHlGQlnxC7B6x2He551rR7VhW1u94zBKzUbQ3iAemz8h5jqY9wxTpth1Rr+TmGzbpnQlasPvhVKzERWVDeH6itjy4r1XasPXfP8bh3ivzSLwTmHadP//HsLmBaHrY+riK4Pb/hkFJswcMwRPL5oY46j5/r4f1zZHPBvccp9YWAy3zxlxH4XawWQdH6pT8dbN2G+0zek1Cjy9aCL7HuMrm+9c5rxE6yEQrjRctjYAFO6++25MmTKlWz9jxozF7t27r9iOOvc9c/8bl97HDEJxHNd/ZuvVeOAm4WMqKhsi/CYA1DbZsHnBhJgObnRcGV3OsSYbNvD42Wg/Gh2HZ+vVoeswx/rngqFpWD+vMOY7S/g8Jjbku7bjTXasnBkZfx5v4o/rEykvuu1CZXHv/6qZBRg9RCsYY1jMRuTo1BFx8Oodh7FubhGvX9y8oBgVlSexalYBZo4ZEuHzEvFhXJ8X3Wa+MoXKuRyhgsFgsL8bkQq2bt2KZ599FufPn8fVV1+NF154AdOmTUvoXLvdDr1eD5vNJjgKyOhoe/x+qOVSuL2XtPUYHW2uBjUoID2sOc3oLTOavAqZBHYnDZ06pF3d6Q7p/kmo0HlyiQQdDhoqRUjHmdXRDv+lGB1thyekha2SSdHl8V3S0aYuHcfV0daq5EhjdLQ9Ic1AuZCONhXWC+ToaGvCutKROtoU5FIJumg/Ot3e8BKSWB1tlUwCmkcL3BFuh0ouhc1JI00pZ0e1WrtoODxeGNQKBHBJRzs9rDkul1zS0WaW+Lc7aKjkIY1hgyYxHW1/IAh/IAja50eGRhHWUAxdb1qUjjZzD+QSjo62zw9jGr+OtjbcLhlFQa+5pKPN3CuTll9H20n7oRfQ0WaesSCCUMpCeo6By1RHOxHbZHS0O91eZGjlUElCz7jD4ws/oxLYXDTUikv3TSWTQiah0BW+10aNAgEAHp8fEgkFuST8NwzrgSqkErQ5PNAq5aHnzBl6zhj7pP2BkI622weNQgpNWGu9k/bD4fHCmHZJW1OjCOnRewMhoWm1PKSjrZBdsl2ZhIJCKoGDY1fpIjraOrUcSh4dba6mZjwdbUpCsfXp1KF3RSf3vQIAFKCN0NEOaVGzOtoqOdRycR1th8ePTI6OtsPjRWaaEl4eHW2m/dF2wtSdxupoh/4eUgkFKY+ONnMPuTrarIYoq6MdeS16ER1tPvvlg7HbTreX1VB1ekK2LXZusvX0F4nYJwAcOnQIU6ZMwXcefQ2ZeWOTrufU/n9gf8VGWH7+IoaPL+nz8wdCG8g1RJZx9V2rMSR/XNLnX6z7Gv/+v98i9HbqHmq1BseP1yIvL6/bZfQ2idgm857xeL1ID+toc/2NBECn139JR5q6dG4wGIRaFnrnOryh+EirDOtfu2ikKUOxD6NRrVWGdLTtTg+0YR1tblzJ6Gh3efysjjY3DpYAoAMBVkdbowz70SgdbbsrMoZNi9LR1qpkUPHoaDOxr1YhDV9PpF/i+kCNXAo/UyYnRuhwemDQhM6xh6+Z6R84PT5eHW2KApQCOtq+QBB+RkdbEbqmgJCOdjiGF9XR5sSr3NiC1dGWhOJmPp/n8HihVytA+wPhuJ3fL3FjVY3iUizeEz862Bn08l4MK1euxMqVK3ut/CydqtfK5mVIaosbNUSb2gITaN/QZO+ZMS3i1+4Y3kj+VSmC9IdxC9XJjAom+92VTo5B3Sf6i/kcG8pPcdl5Uc9+d8lP8XtDjFQ8j8O7WW903SPAf/+uytDwfh59m4YmuAI6WTvsrt0SeycQxNFm5XVr0MbefApAsNsddXvzKeyv2IjW1tYB3dFOhH55zyTj6/rQn6WCfKQ4zk4RPfkb94bPu9L822XT0SYQCAQCgUAgEOLR3Y46gUAgJAPpaBMIBAKBQCAQCAlSW1vbo/NNJtOgnxEnEAjxIR1tAoFAIBAIBAIhDtxkbD1hMOzzJhAIPYd0tBFK6gCEkkcQCITeIT09HRQ3m0oCENskEHqf7tgmkLh9dnV1AQBsZ08i4PMnXU9Xy7lQPedPQalU9vn5A6EN5BoGRhs6Th0HEMToWYthGJab9PkA4Gi/gOMfbMOpU6dgMBjiHk98J4EwMEnENi+brOM94ezZs8jN7d4Lk0AgJEa8zMR8ENskEHqf7tgmQOyTQOgLiO8kEAYmidgm6WgDCAQCaGpqEh2ZsNvtyM3NxZkzZ7oVkFzukPsjDrk/3RuVj7bNy+U+Xi7XAVw+13K5XAeQ/LV0d0Y7Ed/ZnfYQxCH3M7UM9PvZXd954sQJFBYWDtjrGiwM9OdjsHA53sdEbJMsHQcgkUhw1VVXJXSsTqe7bB6Q3oDcH3HI/UkOIdu8XO7j5XIdwOVzLZfLdQC9fy3J+M6+aM+VBrmfqeVyup8SiQTDh4cEFC+n6+pPyH1MDVfafZT0dwMIBAKBQCAQCAQCgUC4nCAdbQKBQCAQCAQCgUAgEFII6WgniFKpxIYNG7qdKfNyh9wfccj9SQ2Xy328XK4DuHyu5XK5DmDgXctAa89gh9zP1HK53s/L9br6GnIfU8OVeh9JMjQCgUAgEAgEAoFAIBBSCJnRJhAIBAKBQCAQCAQCIYWQjjaBQCAQCAQCgUAgEAgphHS0CQQCgUAgEAgEAoFASCGko00gEAgEAoFAIBAIBEIKIR1tAMFgEHa7HSQvHIEwsCC2SSAMXIh9EggDE2KbBMLAgHS0AXR2dkKv16Ozs7O/m0IgEDgQ2yQQBi7EPgmEgQmxTQJhYEA62gQCgUAgEAgEAoFAIKQQ0tEmEAgEAoFAIBAIBAIhhZCONoFAIBAIBAKBQCAQCCmEdLQJBAKBQCAQCAQCgUBIIaSjTSAQCAQCgUAgEAgEQgqR9XcDCATC4MPmpNHaRcPu9kKnlsOUpoBeo+jvZhEIVzzENgmE1EHsiUAg9ATS0SYQCEnRZHVh9Y7D2FfXyn42o8CEpxdNRI5B3Y8tIxCubIhtEgipg9gTgUDoKWTpOIFASBibk44JPABgb10rHt5xGDYn3U8tIxCubIhtEgipg9gTgUBIBaSjTSAQEqa1i44JPBj21rWitYsEHwRCf0Bsk0BIHcSeCARCKiAdbQKBkDB2t1f0+8443xMIhN6B2CaBkDqIPREIhFRAOtoEAiFhdCq56Pfpcb4nEAi9A7FNAiF1EHsiEAipgHS0CQRCwpi0CswoMPF+N6PABJOWZGMlEPoDYpsEQuog9kQgEFIB6WgTCISE0WsUeHrRxJgAZEaBCc8smkhkTwiEfoLYJoGQOog9EQiEVEAFg8Fgfzeiv7Hb7dDr9bDZbNDpdP3dHAJhwMNoi3a6vUhXyWHS9o62KLFNAiE5+so2AWKfhMufvrSnVEJsk0AYGPTrjPbevXsxb9485OTkgKIovP322+x3Xq8Xq1evRnFxMdLS0pCTk4Mf/vCHaGpqiiijvb0dS5YsgU6ng8FgwIoVK9DV1dXHV0IgXFnoNQqMztLi6rwMjM7SDorAg0C4EiC2SSCkDmJPBAKhJ/RrR9vhcGDSpEl48cUXY75zOp04dOgQ1q1bh0OHDuGtt97CiRMnMH/+/IjjlixZgqNHj+LDDz/Erl27sHfvXtx77719dQkEAoFAIBAIBAKBQCBEMGCWjlMUhZ07d2LBggWCx3z11Ve49tprcfr0aeTl5aG2thaFhYX46quvMHXqVADABx98gFtvvRVnz55FTk5OQnWTJTYEwsCE2CaBMHAh9kkgDEyIbRIIAwNZfzcgGWw2GyiKgsFgAAB8/vnnMBgMbCcbAG6++WZIJBLs378fCxcu5C3H4/HA4/Gwv9vt9l5tN4FASAximwTCwIXYJ4EwMCG2SSAMTAZN1nG3243Vq1dj8eLF7Ojc+fPnkZWVFXGcTCZDZmYmzp8/L1jWU089Bb1ez/7k5ub2atsJhMGIzUnj25YuVDd24NuLXbA56V6vk9gmgcBPf9hjNMQ+CZcDA8GWUg2xTQJhYDIolo57vV4sWrQIZ8+exb/+9S+2o/3kk09i27ZtOHHiRMTxWVlZ2LhxI37605/y1sU38pebm0uW2BAIYZqsLqzecRj76lrZz2YUmPD0oonIMah7rV5imwRCLP1lj9EQ+yQMdgaKLaUaYpsEwsBkwM9oe71efP/738fp06fx4YcfRrwwhg0bhpaWlojjfT4f2tvbMWzYMMEylUoldDpdxA+BQAhhc9IxgQgA7K1rxcM7Dvfq6D+xTQIhkv60x2iIfRIGMwPJllINsU0CYWAyoDvaTCe7rq4OH330EYxGY8T31113HaxWKw4ePMh+tmfPHgQCAUybNq2vm0sgDEiSXSbX2kXHBCIMe+ta0do1eIMRAmEwwLXZZrsbk3IN0CikMccReyQQxCG2RCAQ+pN+TYbW1dWF+vp69veGhgb8+9//RmZmJrKzs/Ef//EfOHToEHbt2gW/38/uu87MzIRCocD48eNxyy234Ec/+hF+//vfw+v1YuXKlbjzzjsTzjhOIFzOdGeZnN3tFS2zM873BAKh+/DZbKnZiBcWl+CB7dVw0v6I44k9Egj8EFsiEAj9Tb/OaB84cAAlJSUoKSkBADz44IMoKSnB+vXrce7cObz77rs4e/Ysrr76amRnZ7M/n332GVvGG2+8gXHjxuGmm27CrbfeCovFgj/+8Y/9dUkEwoChu8vkdCq5aLnpcb4nEAjdQ8hmq+rb8FpVA8ot+THnEHskEGIhtkQgEAYC/TqjfeONN0IsF1siedoyMzPx5ptvprJZBMJlQSJLwPUaRcx3Jq0CMwpM2Mtz7owCE0za2HMIBELPEbPZqvo2lJdGdg6IPRII/BBbIhAIA4EBvUebQCB0n+4uAddrFPj/7J15fFNl9v8/2ZcuaZpQaLEtgVRa2gLFskhSFAYHkV3GGZCZoRSXERFHR2VHBATXGQdQZ1RA/H0FZ0YFFbdRcMYWFUE6UjYhUikItDRtkjb79vsjvZfc5OYmbVPo8rxfL14vmpt782Q593nOc875nKdmDsaYHDXj8TE5ajw9czCrc04gENpPNJt1enz0/4k9EgiRIbZEIBA6A9c0ok0gEDqO9qSAZ6TIsGl2EeqbXWhyuJEkFUGdKCYLEQKhA4lms/3VCdi9YDSxRwIhCsSWCARCZ4A42gRCN6W9KeAKOVl8EAhXk2g2m66QEpskEGKA2BKBQOgMkNRxAqGbQlLACYSuBbFZAiE+EFsiEAidAZ4/FsWxbo7FYoFCoYDZbEZycvK1Hg6BEFfMNleXTQEntknoiXQVmyX2SejsdBVbijfENgmEzgFJHScQujkkBZxA6FoQmyUQ4gOxJQKBcC0hqeMEAoFAIBAIBAKBQCDEEeJoEwgEAoFAIBAIBAKBEEeIo00gEAgEAoFAIBAIBEIcIY42gUAgEAgEAoFAIBAIcYQ42gQCgUAgEAgEAoFAIMQR4mgTCAQCgUAgEAgEAoEQR0h7L0KXguqJaXG4kSwTQZ3Q+Vp3dIUxEggEJvGyW2L/BELHUWtxoNHqgsXhQbJMCKVcjN7J0ms9LAKBQGCFONqELsMFkx2L3zmC8tP19GNjctR4auZgZKTIruHIrtAVxkggEJjEy26J/RMIHUeN0Yqlu6qw32CkH9NrVVg/oxBZqoRrODICgUBgh6SOE7oEZpsrbAELAF+erseSd47AbHNdo5FdoSuMkUAgMImX3RL7JxA6jlqLI8zJBoAKgxHLdlWh1uK4RiMjEAiEyBBHm9AlqG92hS1gKb48XY/65mu/iO0KYyQQCEziZbfE/gmEjqPR6gpzsikqDEY0Wol9EQiEzgdxtAldAovDzXm8Kcrxq0FXGCOBQGASL7sl9k8gdBwWh6ddxwkEAuFaQGq0CV2CZKmI83hSlOPtJRaBo2s9RgKhp9IeAbJ42S2xfwKh40iWci9Xox1vDUTQkEAgxAviaBO6BOpEMcbkqPElS2rmmBw11IkdNwnGKnAUPEa5WIAyvQZFmSlwenxQykVIjONCgEAgBIhkn0/PHAy5WBB1waxOFOOWvDQMTE+m7VUqEuBwTSN+uGiJ+d5yLe9RBEJ3R5kghl6rQgVL+rheq4IyIT72ddFkx39OXUZakgROjw+NNje+rW7Azdf3QnocBA2JE08g9Cx4fr/ff60Hca2xWCxQKBQwm81ITk6+1sMhROCCyY4l7xxhLGSpBXU8JkA2ai0O/FjXDJPdTS++t1ZUw+byYkyOGptmFzEmyQsmO1a9dxSzRmRh2/5qRk1ZSctYO1p9uDtN5MQ2CVyYbS4s3FkZVhstFwvw+rzh+LHOirRkCe0811ocrAvmeKkZR7pHrZlWALPdhURp17bHULqTfXan+2Z3pcZoxbJdVQxnOx6q49R3b7a7IBEJ8P05E9Z9eAI2lxcAoNOq8MC4HOT1SWrXb+JqdiXoTrZJIHRliKMNckPqSlATYpPDjSSpCOrEjlsMXTDZsWp3FXIzFHSkK0UuQqJEiLLXD6K+2YW9D9+EAWmJjPGduNSEF/edRjnLzjubcx7vMXen9kLENglc/FjXjF/8+b9hjz90Sw5G9EvF5i8MDOeZbcEcyVkH2mavwfcomViAwzUmrN1znF60x2KPXcXpi8U+u8J76W73ze4Mo4+2VAhlQvv6aLN99zqtCvN0GizaWclwttdPL0S2um0OfbzvM9EgcyeB0DkguayELoVCfnUWaWabKxCZHpmNbfursXmfgT6m16rw2tzhuPPVb8IEjuqbXbA6PaxONhBQH/7ZZEe91RX3BWe09kId6eATCNeCSAJkYwem4elPToapFFN/r59eSNtCLGrhrbEb6h4VaWEdzR67k9PXFd4LuW92LXonS9vlWAcT6bun7hNleg099+83GGF1tV1wLd73GQKB0DW4pqrjX375JaZMmYKMjAzweDzs3r2bcdzv92PVqlVIT0+HTCbD+PHjcfr0acZzGhoaMGfOHCQnJyMlJQXz589Hc3PzVXwXhO5IfbMLuenJYenfQKCVyPOf/oAyvSZM4MjicMPp8XFe+yejDb94/r94YGclLpjscR0zaS9E6ElwCZBFagUUumDuKLXwtthjd+rF3VXeC7lv9ly4vvv9BiOKMlMYj1HR7bZAuhIQCD2Ta+poW61WDBkyBC+++CLr8WeeeQYbN27E3/72Nxw4cAAJCQmYMGECHA4H/Zw5c+bg2LFj+Oyzz7Bnzx58+eWXuOeee67WWyB0U8x2F4oyUyIu1ssN9RjdXxUmcJQsFUEi5DYr6ni8F5xkIif0NCgBslAcbu4FsTVowdxRauFtscfu5PR1lfdC7ps9F5Od+zcYummukLW9cwDpSkAg9EyuqaM9ceJErFu3DjNmzAg75vf78cILL2DFihWYNm0aBg8ejDfeeAMXLlygI98nTpzAJ598gtdeew0jR46EXq/Hpk2b8NZbb+HChQtX+d0QuhNysTBqZFrE4lCrE8Woa3JCp1WxnlOiVaHynIn++8vT9bhodqCyphE/Xm5ul9NNJnJCT0MhF+OpmYPDnO1ov/WkoA4AkZx14IpauNnmwo91za2y07bYY3dy+rrKeyH3zc5DW+ysPa8hF3NXTwZvmpfkqJGWJGnz68ZynyEQCN2PTlujXV1djUuXLmH8+PH0YwqFAiNHjsTXX3+NWbNm4euvv0ZKSgqKi4vp54wfPx58Ph8HDhxgdeAJhEiYbS7UNTnh8/vB4wOaKKInTQ4PFu6sxBNT89FodSFRKoRcJMCN/VPpc4Mj4uNz07D4tly4PT6UaNVIlokgEvBhd7kx57UDsLm8KMlRY8OMQlyXKg8bWyxtikh7IUJPIyNFhk2zixgiiV6/D7OGX4f5Jf3h8fphsQfsRijgYUv5GcYOM+WsR+poYHN58Vgr6oyDFYx33j0S+3800p0Kgs9ns8fu5PR1lfcSr/ZuhNZzvtGGJocHTQ43FDIRxAI+Gq1OJEhFEPMDtjprZHbc6vlDNQMWjtNGbBmmC9oUp+4Fra2hDp63FTIR1s8oxLJdVaz3GVKfTSB0Tzqto33p0iUAQO/evRmP9+7dmz526dIlpKWlMY4LhUKkpqbSz2HD6XTC6XTSf1sslngNm9BFoRTGZ43Mxo4DZ/G7Uf3QJ1nC2bdTnSjGd2cbsfK9oxihSUV+hgLb9lejssaEe2/qj8W35oLHAxwuH0QCHpJlIqx672hYa5LVUwvwtzk34A9vfofy0/VY8u4RPD1zMPoq5fTYYhEUiuYwdIWJnNgmoS2EiiRerm/GfTdpsWx3eMuuJ2cUQh7SbIPNWaccrNYImrHZql6rwsbZRbSCMZc9dvbNstbYZ2d/LxQKuRgrJw/C0l1VYaKX62cUdon7ZlfkbEurrtCuAPN0Gvx+20EMy0rBuumFeOvAWcwv6d/u74FNM2BrRTU2zi4CAMa8XKJVYeWUfDTZ3ZgxtG+bupuw3QtuyUvDhtsL4XD74t45hcydBELn5Jqmjl8rNmzYAIVCQf/LzMy81kMiXEPMNhcWv30EuS2O8qAMBS6a7Xj23z+gVKcJSwPXa1V4dEIuXvj8FMr0Guw3GDF2YBotnGZzefGXz05j6ub9mLJpPzbuPQWJiI+VIU42EJjcV79/FGIRD2V6Df3YWaMNZpur1YJClMOw9+GbsHvBaOx9+CZsml3UYX3G4w2xTUI8cPB4YU42ELCt5buq4ODxws5RyMUYkJaIoVlKDEhLhEIublWdcSRbrTAYsf2rn/De/bqo9hgpFb6zbJa1xj47+3uhMNtcWL77KOtvZcXuo51GtK07cb7RFuZkA4EMsG37q1Gm17R8/lW4ozgzLvX8bLZsc3mxaGclhmYp8cEDOrw0Zxi2zC3GkCwlnv74BK5LldP3gtYQ6V7w2Yk6LH23CupEMeM+Ew/I3EkgdE46bUS7T58+AIDa2lqkp6fTj9fW1mLo0KH0c+rq6hjneTweNDQ00OezsXTpUjz88MP03xaLhdyUejD1zS6UG+pRquuHzfsMKNMFHN59Jy/jmzMNKNNrUKbTwOnxQSLko/KcCY1WF/advIw5I7Pp61TWmLBwnDYs/XBrRTUAXkRhtQqDEYsn5jIUTk12N7244FroXzQ7cKbeykgnv1ot0DoCYpuEeNDs8nLaY7PLC7Mtejud1tQZcznl5afr4fb6IBEJoo49UnS9M9h0a+0zI0WGZ+8YcqXvsUwIpbx9fY/jDWm7dPVpcng47ZOagysMRjS7vHBGETeMhUi2bHN5sXmfAYPSk7HgzcMArmQztPV3ei1+U2TuJBA6J53W0dZoNOjTpw/27t1LO9YWiwUHDhzAfffdBwC48cYbYTKZ8N133+GGG24AAOzbtw8+nw8jR46MeG2JRAKJpO2iFoSuC1utMzUBu7wB8bNgETRqEg7lpTnDGM91uL3YOLsorOe2riVttDnKgr3Z4WW8rkTIR5PDDT/HOUDAIa8w1GNrRTWKs5Wdqj9tWyC2SYgHzQ43pz1anW48sPNEVHtpTZ1xNKfc4vCg4ugl/HDRgiemFXC+bmfdLGutfV402fGfU5eRliSB0+NDszPgYN18fa9Ok2XTVUTbuhPR7NPjuzLzNdndUCW2f06IZssadQL+ee+NSJYKoUxo22YQtb4wWl3YWjqc3jgIbQvWEb8pMncSCJ2Ta+poNzc3w2C4cpOtrq7G//73P6SmpiIrKwt//OMfsW7dOuTk5ECj0WDlypXIyMjA9OnTAQB5eXm49dZbcffdd+Nvf/sb3G43Fi5ciFmzZiEjIyOuY41FjIrQuYlU67x8Uh4AoFfLZB6tPVfwcyRCfqBeO0GCv+49zZoKBwBrpxVwXi9RKoDNFbgmJcIyY2hf+PzcrrbV6UFlTSNdA8pWN0og9DRUiRK8EMUeI9VZB9OaOuNoC3nKVufpNHj8vaN47o4h3dpOzTYXzjbYsOfIhbA6XI06AXKxoFO8/64i2tbViLRmumCyR7XPxbfm0o8lyURxqeePZssZCikU6W1/Hbb1hS5En4GC/KYIhJ7DNXW0Dx06hLFjx9J/U2kvc+fOxeuvv47HHnsMVqsV99xzD0wmE/R6PT755BNIpVd2Gt98800sXLgQv/jFL8Dn8zFz5kxs3LgxruOMVYyK0HnhqnWeWGNCSY4aYiGfdnIzFFLotCrWdG+qRZdOq0KtxYFSnQYury9iavh+gxEur49TWM3q9NDXnKfT4B/f1kCt18Bkc0ccBzVW6liZXoPN+wwk1ZHQ43FHsUd3S/ZKpPILitYIDHIt5ENttShL2e3t1GRzY9O+yM7U+umdQ2isq4i2dSUirZnWzyjE6g+O4dEJA7nny5bsLr1WhUSJsF2/E8rhb3a6sWZaAVa9dzTuYqGR1hehczP1euQ3RSD0HK6po33zzTfDzxGx4/F4WLNmDdasWRPxOampqdixY0dHDA8At4NGooddB66aqbV7juOjRSX4qd6Ku/T9cbnJgaIsJfqztOgq0aoxT98PO745i8en5OPjoxex7sMT2FY6nPP1zTY31k4vwMrd7KrjfvhQnKUEAPzj2xqsmVYAhVyMn4xWzGupV2NTZ120s5I+RtW1WZ1ukoFB6NFY7Nypmeag42fqrXRtJtsGaqw105Gc8ki22t1Tkq0uD6czZXV5rvKI2OkO3RpaS7DzmSwTwenxBVrgSUVIloliCiBEmmO41kxLd1VhSGYKw/7YuNzspDsEZIa0umwNoQ6/XCzAysmDsHxSHuwub9z0D7jWF8Fzc3f+TREIBHY6bY12Z4EIpXQPuOrwbC4vLHYXrkuVoabBhve/v4DVHxxntuhy+5AkFcLv98PrA/5wsxY/Xm5GYd8UlOk1UMi5U8EUchHufeM7LLktF0tvy0Ozw4MkqQgiIQ9iPuDx85EiFwVaieg19G8qUSLC7FcPoEyvweJbc3G+0U4LsoWmozk9PsjFAiTLxGEtiUgGBqEnkSgVQS4WoEyvYRVbCk7dDC4VibSBGmvNNOWU/2yy4yejjdNWu3v6qNXFLWAVWrd6LenMAnTxhnI+vzsbKDl65tMfWFvgZasSol6DbY6xu7ysaya5WIAhmSmYkN8bDpePs4a5nyoBG2YUIpNjDNFgc/htLi+WvluFMTnquAZJotX5J0lF2PvwTd32N0UgECJDHO0oEKGU7gFVhxdp8Z0oFSFBIsSWimp60fGXz07jL5+dBhBYfCz6hRYWh5du40Wh16rwq2HXYXxuL3x+8nLYa+u0KlTWmPDLgj4oe/0Q41i0CV+dKEZxthKb9xlQlJlCR97YkAj5WDl5EFbuPopyA8nAIHQt4pmFkSQWYMvcYmz+whAmtrRlbjGSxAL678pzJsa57d1ApdqCcdlqSpzqTjszKbIom49Rjl9tOqsAXTwJdj4XjtOGzWXAlRZ462cUwu3zh9lhtCy/P47PoR+j5tviLCXSU6RYt+c4q/hZ8EaUXquC2e5GhqJ9yvRXM0gSrc5flRBoHUggEHoexNGOAhFK6R6oE8W4JS8NvxmRFaZ0qteqMKs4E82OyKmOFQYjnphagL/uZe+3unL3UTw5owB2T1XEFO/Xfl/MeN1Y0siC0xqpGu5I9dp1TU4My0rB0nerWK9FMjAInZV462C4fX689IWBtT6YDx7WTMsPS+kOpr0bqFx1v3qtCtkqebe3w7QkCUpy1KzOTkmOGmlJRCH5ahPsfBZlprB21ACutNW67a/lYXYYzYFddltAXFQuFtDK4gBQWdEYsV6fqmGmSqmS2iGUdy2Uv3tynf+5c+dgNLKvm6KhUqlICzJCt4c42lHoyTfQ7oRCLsbqqfl47J0jrI7ysl1VjJ14Nhxub0RHvNxQD7PdjaIsZVjPbWq3XiLiY9+fboLF3rrURCqt0Wh1YUZRX6x+/xhjoVOSo8baaQVQykU4U2/lvBbJwCB0NjpCB8Pm8qKcw1Ztbi+KspRhKd0U7d1AjVT3W5KjxoYZheirbHvdaVdBIRfj6R5W+3w1ON9oQ5PDA4vdDYVMhESpENfF+HsKztALbifJRlNLHXWoHUbL8hPweRiTo8bgzBQ6Yl6m00R06vcbjFh2Wx4mFaYjQSyATCRArzb2r75Wyt89sc4fCDjZA3PzYLdxrzsiIZMn4IeTJ4izTejWEEc7Cj31BtodcbgjKxEH78RHosnBLd5jjdBzm8LVkqrev1frU8iC0xo3c9QSJktdnNchGRiEzkZHpHhGq/+1Ob2BiN6dw8IiXvHaQO1Jdb+RIJ9B6+EqoThrtGLZrqpW11RTJEfQJmAjKSi1P9gOo2X5Cfg8PDVzMH6qt9LzYTSn3mh1Yfv+ajwxtaDNTva1Vv7uib91o9EIu82KG+9ag6Q+Wa06t+lSDb5+bRWMRiNxtAndGuJox0BPvIF2R7h24uViAaQifsRUR51WBaGAx3n9BImAs4WXzeXF4neOYN30AqTIRLRCK7WoUsgCdeLNDg9nnSpXLSHJwCB0NTpCByNZxj21JcuEuOPvXwNgRryKs5WcG6itrSPvCXW/seIHAO5baI+Hq4TC5/eHOdnAlZrqDTMK4WKpqQ4meH7gKkXSa1XweJnOMWWH0eYYVYIYNpcXfB6wcJwWRZkp6BWlTEAlF2PNtIJ2ZXp0BuXvnmrvSX2yoMy8/loPg0DolBBHO0a6+g2UtHuKXG9P1ZKt23Mcc0f3g8/vZ62zrjDUcy5MJAI+SnUa+AFU1pho0TUA6J0sBfzAd2cbYahrxvavfsK66QVYs+c4Pj9Rx6hnC75+a+tUSQYGoavREToYYmHkTbOSHDXEQdG8/QYj+DwePl5UghS5KKKNxLuOvCdAPjMmtRYHzHYXRHw+HB4fmlrmY6VcDKmQz1lCsfS2PE4NkWaXFxNZaqqDCZ4ftlZUY+PsIgAIi5CvnV6I3285wDiXssNocwwArPvwOP70y4GorGnE5n0GLBynjTh3luSooU6SBObIdkCUvwkEQmekTY72l19+idGjR0MoZJ7u8Xjw1VdfYcyYMXEZHCE+kMVOgEg78WV6De3gfnWmAWV6DV1nrZCJ4HB78UCLYBLbwkSnVaFUp4HJ5sainZW496b+eHxyPtbuOcZIJS9piZx5fP5AqvquKgzNUuLzE3WMMQQTWh8Xy4YJycAgdCU6IgujsdmJlZMHYc0Hx8L61q+aPAiNVifj+eWn6+Hx+Tkj2e2tI+9pm50dUXvfkcTr+4l0nRqjFRs+PoE/jh+IFe8dDXNu100vxImLFtZrfnm6HvdH6T1NRZyjfb7B84PV6ca6aQVwen20dojb68PvtxzAuUY7fU6oHXLNMT/WNeP2Ydfh8aD3GMmpp5zz9jrZAFH+JhAInZM2Odpjx47FxYsXkZaWxnjcbDZj7Nix8Ho7T3/Mnk5XW+y0F67FUqSd+Bv7q2iH2MZSZ71lbjFdv7loZyXtiCdIhLA6Pag8Z8KSd47gjbIRsLm8cHv9eGLPsTCnudxghA/A4ltzAQSiEPNa0tm4FGCp+jhrS+p5LBsmXT0Dg9A9iWSf8czCuGCyIyVBgnUfHsfQLCXmhYgTbvj4BFZMGhR2HleKenvryHviZufVbK/UXuL1/US6zroZhVj9wTHMGZmNNSxzQ4XBiBW7q/D0zMGYv/1Q6GUBAMlR2qEFZ35E+3wjzQ8XTHYseedImJPNZoeh1zDbXPixrhkNVhcyUmQYkqXEdzUm2Fxe2FxextyZLBMhVS6O6wYwKZsiEAidkTY52n6/HzxeeLGV0WhEQkJ0QQ7C1aMrLXbag9nmQqPNjZW7qxhqw6GLpeCd+EabC2a7G16fn/PawUIulCOu06pQlBXob02lfX/fUvPG5TTvNxjhCroede1oYjFmuxurPzjWYzZMCN2P8w02LH33SET7jEcWBrWxuHxSHvadvIx9LH3tAeCxW8PtjStFvT115D1ts5PCbOcWZjRHidBeLeL1/XBdZ/muKhT3U6KPQsqZ/r14Ym7E6yeKuTVAElt6w1O0RdugrXbIZtuhat/Bm9j/vHdU3KPLpGyKQCB0RlrlaN9+++0AAB6Ph9LSUkgkVwQuvF4vjhw5gtGjR8d3hIR20RFCQ52NCyY7/nvqMvYcuRA19Rq4shNfWdOI+dsPYcvc4rBrysUCusY6USJk9OMsykph9N+l0r4ra0x0ehwXl5uvpK1Syq/RFGDlYkGP2DAhdE9+brRh8bvhrfVC7bMtjnVwhFzI4+G7s41osnN3CAjtIBAt4tWeOvKestkZilzMvbyQhziG14p4fT9c1/nubCNWThqEBiv35oPVyZ4NOCZHDYfXi7XTC7By99Gwcoi10wthtDoY57S1w0Rr7TCSbbOpfbd3bAB31hopmyIQCJ2NVjnaCoUCQCCinZSUBJnsSkqVWCzGqFGjcPfdd8d3hIR20RFCQ50JKopQOrofZ+sutsWSSi7G+wt14PN4+Mc9oyAU8FF++jL+75uzeGrmYGzbX82ssc5R46NFJTh8toHRkzM49XzRzkq8UTaCc8xiQcCp1mtVqDxnAgBOBdgxOWrw+dxyvd1hw4TQPTHbXDhrtLXaPqPBlqZbkqPGxtlFSJYLoU4M9HFOS5ag2eFFklSIWosDi985giTplakvlohXe9JSe8JmJxt8Pi/iPU2nVUEQ5Z52tbA43MhUyvDinGEQCvhosgccOLfXh/vfPBzz98P1PZfpNVi75xge44hYA4BCJgr7nVG/T7PDjbJt3+LFOcOwrGWcSTIRPC011a/8vphxjjoxNk2P9hDNtoPVvin0WhXD/lpDLCn+pGyKQCB0Jlp1t9u2bRsAoF+/fnjkkUdImngXoLvXLVFRhNkjuHs4Bi+WzDYXTDY3Lprt2PSFgbFIKNGqsWXucPx176nwGuvT9Vixuwqrp+bj/Qd0cLn9aHK4wQ8qo7C5vPjPqcucC8zKc6ZA3d70AqzdcxzAFbEYHsCIVlCLLLubW/egq2+YELov9c0umGIUcgJiE6WKlKZL/b1+egHeuudGPP5+uOjUW/fcCBEf2L1gdMwRr/akpXb3zc5ICPk8WoOCrYtDZ3G0lTIR3pg/Ait2h/9W3pg/AjzuyiIaru+ZKicqtTg5079TE8QRI7Juow/ZKjmmbt7Peq60JStqTI4az8wc3CpNj7ZS1+SMatvBZVFUz+/rYmzjFXwvSE0QY8Wuoyg39KwSDAKB0LVp07bi448/Hu9xEDqI7l63REURoqVeU4tZKs3c7/fjw6qLLIJl9QAPGJKZwlrfWWEwos7ixE9GK5btOgoAYannkRRWS7RqPD51ELw+P6YOyYDH58e6GYVYepsHlpYoyvO/HopmhydskWW2ubr1hgmh+2JxuFtln7E4B1xpupSCeKiTDQTsd/X7R7FhRiGGZilb9T7ampba3Tc7I6FKEGPDRydQlKWkuzhQgnT/+LYGz90x5FoPEQAgEvLx2Dvhqc8VBiNW7j5Kt6yKRqTvWS4WQCoKpMkvfucI3rxrFNbuCVfDXz+jkFbfZvtNKWQirJ5agNXvh6eOr55aAIfbi0//WII+LddYuLOyQ3UBLpjsqGmwRbXtzFQZXpozDBp1ApKkwpid7NB7wZa5xWFONkV3LsEgEAhdmzY52rW1tXjkkUewd+9e1NXVwe9nbvkS1fHORXeuW6KiCNFSr6k0OirNHEDEdLfy0/X0c9gw2d2MdiShrx2ssLrgZi28fj88Xj/UiWKs/+gEw4GnnIj+vRLbpJjeXTZMCN2XZKkIe0/WcffRDbLPWJyDaOnYNrc3as/httCWtNSearsKuRhPTCvAkneOMEpwOtv7tjg8nL8Vi8ODvjFch+17losF2Fo6HL4Wwc36ZhfmvPYNnp45GIsn5qLZ4UWiVIAUqQiZKu4MQYVcDLvLi4XjchjnWp1eiPk89EqR0Z/pj3XNHaoLEDyXcs29JVo1Pj1Wi//VNOL5Xw+NuY0X270gmmBody3BIBAIXZs2OdqlpaWoqanBypUrkZ6ezqpATuhcdNe6JSqKEK1PJ9XfM5Y0c4B7UpcI+YzjbK9tc3lRWdOIoZkptNNdWdMYUQxqw+2FWPJuFWckrztvmBC6L+pEMX64aGFNI9ZrVdgwo5Bhn2yEOgfR0rEjiUpRXO1FeU+13a7wvi2tKGuIRuj7VcrFWLH7KIZkpdDOaH2zi9HCa0yOGptiENFkJ7D2Egv5jM+0o3UBqIySIZkpOH7BHNG2H5kwEBv3nmJE61tz/WBizYohEAiEzkSbHO2KigqUl5dj6NChcR4OgdA6gqMIwX06AeA6pQx9kqVhUbBoEzYApEToWUrVWBdlptCPBUewl03Mg93thdnuRuU5Ey2aFq1P9lmjLaZIXnfdMCF0X6jI5uPvHWWkEafIRMhWydG3JZW0Nc4BVzq2TqtCchSxpSSpCBdMdkY6ekcLR/V02/UDlF/YKjr6e2lNf+pYCP6ef6xrRrmhHt/VNLKXE7Uium+2ufBTgw2b9p0Oq3l/YFwOZGJBzBtR7XVKKVulNpl3HDgbZtvpCimcXi/W3z64VU528PWDiSVrjUAgEDobbXK0MzMzw9LFCYRrRbSoCbVQ8/j82Fo6HH6/H7UWB2e6W1+lLEy0hhLx2XHgLIR8HhaO06IoMwVOjw9SkQBVP5sgFfHB5/NgtrsxLEsJ6AOLEZc3Sp/sCE4GqT0jdAcyUmR47o4hnJHN1jgHkdKxdVoV5us1EAl4nKJTCWIBvYkFAJcsDpxvtIPH49Ft/IqzlXEVjuqJXDTZ8Z9Tl5GWJIHT40OjzY1vqxtw8/W9kB7D5xprzX57UMhEnL8VRRRHnAvKYQzejA2uV89Klcf0OQCAyebGK1/+yHBopSIBDtc04pUvf8Tjk/NpPQ8hn4eSHDVrhkg8nNKEltZtwe+LmgslQj4SpUJM2lSBDxbqW+1kA+z3gliy1ggEAqGz0SZH+4UXXsCSJUvw97//Hf369YvzkAiE1hMpWsS2UBuX2wtLJuZBow7UxIUKls3T98NvXzuAF+cMw30OD8x2Ny3i89aBGtw7ZgBsLi9eqzhDR6nlYgG2zC3G6vePoTzEOd84uwipcu7FWq9EScRjpPaM0B2IFtFtrWhY8AZbo80Fp8eHgz81gAceNu07zdlz2O7x4NDZRjTa3Fi5m6lkTNnsop2VRM24HZhtLpxtsGHPkQthEViNOgHyoAhspPNjrdlvDxkpMjw5oxDLd1WF/VaenFHYLoc+2GG0ubxhWU17H74p5mvZ3B7cOTI7rO0ktQFs93jo+e67s4EIus/vj7tTWmO04tDZBpRoVSg3GMPel06rQlGWEjdkK9vs0LPdCyinfuXkQVg9JR9Wp6dTliIQCARCMG1ytH/zm9/AZrNhwIABkMvlEImYTkRDQ0NcBkcgtBWzzYW6JidqGmyYp9NgSGYKtlZUw+by0mJkvx/VD4tvzQWPBzhcPvD5gM3pQWqiGM//eigEfB4yFFKkK6S43OTErfl9UJytRF+FFIt3VdELGLlYgE2zi/DSFwaGkw0EnHg+j4f10wswLrcXq5K5TquCmCOdPVkmot+Pye5GklQIiYAPs92FJJk47qmUBMK1YvmkPMxliSxHcg4UcjEcHh+e+/dJ/HH8QPROkuC1ijPYbzDC7fFiw4xCNLu8dM/hRLEAuw6fw9Si61Cm12Dl7ipWmwUCvY837zOQjJI2YrK58da3Z7H41tyw/tRbK87gofEDOT9XLmX5eGf6ZKsS8MyvhsBsd9MZFwqZqN1R83gqzvN4PGzbXx2WhUX9vW5aAWNjIrSUKitVjrQkSZs+MyorzGQPbGjVNTmxako+Vn9wjLV1244DZ7FmWn6bv59IGSvF2cqYsyEIBAKhM9DmiDaB0Flhi2IHR6koZ/uhW65HncWJynMmDL5OAbGAjy3lZ8Ii0gvHauFw+zDv9YMoykrBmqkFqKwxAQg42RtnF0EqEoQt2CnKT9fjXKMdi2/NAwCGs00tTBqaXaznjs9Lg1jAx8IdlWFRt3k6De587VuS4kro8rDZbEmOGh8tKoFSLuJcsDdaXfj4aC0O/tSIN8pGYumuoxjRLwWP3joIS4I2xIBAlHLd9EJ4/R5O3YT9BiPtoJCMkrbh9Hnw4PjrWftTr51eAKfPw3l+Rwt6hZKRIov7PTSuivP+yJ0y9huMcHh8DPsJjTTvffimNjm+kebTsblpmDYkA/P1/SEU8KCUi+Dx+mG2uXFLXm9IhYJWv1YwXUFIj0AgEKLRJkd77ty58R4HgRAXIqUbhkapAOB8ox33/d9hAMCehXo8/cmJiNGtSYXp9Lmr3z9K/79Mr8G2/dWYMzKbc1wmuxsv/seAMp0Gc0ZmM3rKLtpZiX/de2NYzbhOq8KffjkQS9+tCusfGvp+SIoroatitrmw+O0jYb/x8tP1WPXeUYYiM5swVrMz4LDVN7twtsEKAHjujqFYGuJkA4F2TSt2V2HDjMKo46I6CxA147YhFQgjfgcrdx/F+ijfQUcLenU01G+12enG2ukFcHl87Up3trm4NyaaHNGOt35jIpJt7jcY8cwnJ7H41lw8/cnJsI2UJ2cUxiXq3NMFBAkEQtenTY52TU0N5/GsrOjtkwiEjlCT5Uo3DI5SAUA/VQK2zxuB/51vBJ/PixiRrqwxYdXkQRjqB3QD1IHUbREfb31bQ0fFgq/LhkTIp18/uLULEIjcfXailha58fj8SFdI4fL44Pb6whY5bO+HiKYRribxtN1LFkfE33jw7zqSMNYTU/MhFwtgc3khFgRKMKwuLyprTGGChVQ6erPLi+uU3I6ARMgnasbtwOri7mVujdLLPJ5p17FwwWSH2e6Gxe6GQiZCcjtSxztCxE0h436/sSjttwazzYWLHLZJtSoLFmfTqBPiknJPIBAI3YU2Odr9+vXj7J3t9XJPoLHi9XqxevVq/N///R8uXbqEjIwMlJaWYsWKFfTr+/1+PP7443j11VdhMpmg0+nw8ssvIycnJy5jIHQMHaUmGy3dkIpS6bQqVNY04oLZgQyFFBfNdtbnU6nh6/YcZzjieq0Kb941CucabQCutB6prDExFFilIgEume04esHMev0xOWo8PjUfUzZVwOby0q9HRQlemjMspvcDkBRXwtUhnrZrtrlwvpHd9iiaHG5OYaxV7x/DykmDsHRXFW2HzQ43Ns4uYhWO2ji7CFanGzlpSQxHTi4W0LYLAOpECTbcXkg2r9pIe/tTxzXtmgOzzYVGmxvLd4eXGTw5oxDZqoRWX68jRNyibTwoE+K3MXHBZEdNgw1WJ3eU3OG+kp6u16rw/K+HtkllnEAgELorbXK0KysrGX+73W5UVlbiz3/+M5588sm4DAwAnn76abz88svYvn078vPzcejQIcybNw8KhQKLFi0CADzzzDPYuHEjtm/fDo1Gg5UrV2LChAk4fvw4pFJyw++MdKSabLR0w7QkCd68ayQEPB7sbi9uyFbC4/PhktnJ+nwqNZwt/XHtnmN4fGo+gEDrkRfvHAapiI/NXxgYi3tKyVwuFiArVY69D9/EqDkzWl2wtUR3Ql8vWs/v4OOdPZWS0PWJt+3WR9AmCEYqEuBUbXOYqCFF+el6PHbrQOi0KroFkCpRghf2no4oHLV2WgHDkTvUotIc6pjHu5VUTyIe/ak7uk6XcihDe1MDgXv88l1VeOZXQ1r1/XeUiFu0jYfeydK4bExQ6eJLbhsIIZ+78Tk1/+i1KqyfUUicbAKBQAihTY72kCFDwh4rLi5GRkYGnn32Wdx+++3tHhgAfPXVV5g2bRomTZoEIBBJ37lzJ7799lsAgWj2Cy+8gBUrVmDatGkAgDfeeAO9e/fG7t27MWvWrLiMgxBf4rkQCU1hTZQKI+7ql+Socbq2CUt3Hb3ymFaNFZPzUPWzmW5XEgyXYFKFwQiP10+f9/15Ew791BC2YCs31MMHP1ZOyoNcLEBfpTzsWtSYQ1+PitCxpWDqtCpUnjPR55MUV0JH01rbjZZibnG4OX/jeq0Ke6ou0jYRKmpIcb7RTqewCng8uL0+TuEod0tfe8qRM9ncWLE7vJ443q2kehIJYkHUXuax0FF1utSm0WO3DuRMcTfb3a1ytDtSxC3axkM8NiYuWRz4rqYREqEQ358zRrTNkhw1+qbI8MmDJVAmiImTTSAQCCy0ydGOxMCBA3Hw4MG4XW/06NF45ZVXcOrUKVx//fX4/vvvUVFRgT//+c8AgOrqaly6dAnjx4+nz1EoFBg5ciS+/vrriI620+mE03klgmmxWOI25p6O2eaCyeaG1eWB1eVFikwU1lIkXgsRthTWW/LSsG56AVbsPspwtku0Kiy4WYv525m/z3JDPdbtOYFijRLz9BoAvIg1aWyYbG7M1WngA1DYV4EXPj/N+rz9BiOWTMzF6veP4bk7hjA+j+BIRXAqOAA6Qkddg4JSHV+0szLuqZTXEmKbV5dgR1ghEyFBIkSzw8PpGHMRbLuxpJgnS0URf+N6rQqlLb9xCjZRQwAQC/iMv/957yju9213o9biQO9kKRRycWADIYKzRfQPrtAa+zQ2O7Fycj7W7jkW1p961ZR8GK1OZLUyLTuU9mgFUJtGC27Wcj6vtY5xR4u4Rdt4aM/GxM+NNpxvtKNMr8ET7x/FdzUmVtss0aqwZlo+NOrEVl2/I3RZOvK6XQkydxIInZM2OdqhBuz3+3Hx4kWsXr06rrXRS5YsgcViQW5uLgQCAbxeL5588knMmTMHAHDp0iUAQO/evRnn9e7dmz7GxoYNG/DEE0/EbZyEABdNdpxlScMraXEEgxfXXMSyEImUwvrZiToAwLN3DEGzwwOz3Q2H24tEqRCzXvmGEQWjKDfU476bB+CuNw7hnjH98eD4HHh8fsjFAlpcKRKJUgHmbz+IMr0GCWJuczrfaMdnJ+pYF+1UJOKi2cF43ObyMvqhJstESJIIIRHyYba78cFCfbdqeUJs8+oR7AhT2gChZRJsjjEXlO3GmmKuThSjOFtJ/8apVkHqRAk+qroYFrkGwkUNgzM7QsfBNc5Gq4uOwl3tVlJdldbYp1gkwJzXvsHTMwdj8cRcNDu8SJQKUGdx4s5Xv8H2shHtGkt7tQKo7zxRyh1Zb61jfLVF3OKF2ebCuQYbeidJMbGgD71xFTz/UN0y0hXSqPNdKB2ly9JR1+1qkLmTQOiccHsREUhJSYFSqaT/paamYtCgQfj666/x8ssvx21w//znP/Hmm29ix44dOHz4MLZv347nnnsO27dvb9d1ly5dCrPZTP87d+5cnEbcczHbXPjPqcustW7lLYtrsy1Qj0ktRNgYk6NGolSIM5ebcaq2CScvWXD4bAN+vNxMnw9wp7B+dqIOVqcn4IDKRBAL+bC7vKxONoWAz8MNWUq88Plp/OpvX2PWK9/g2U9OQiDgQa9VsZ6j16pQZ3HS/UqtUdqvUE57pEW7Qi5GukIa9tlQ19/+1U+4Pi0RuenJ0PRKxNAsJQakJXYbJxsgtnm1CHWEI2kRfNkK2y3JCSjym20uXDQ7MHtEFraWDsfCcVrIg9KEqQgxcCWbozhbia0V1eABON9gg8XmxuZ9hog2GyxqOE+nwdaKasZxKm2ZDb1WBblIAEtQO6Su3krqatEa+5QKBRjYJwnztx/ClE37MfvVbzBl037M334IA/sktavPcrSNnOC5IhLUd15ncXL+VqRRdDJCoX7ToXbS2TOPLHY3UuRi1DY5GK3CqPln/vZDWPDmYczffgg2lxdprUgVN9tc+O+pyygd3Q8vzRlG3xcOnW2M+fsKvd6PdYE1wuK3v2/X76C7QOZOAqFz0qaI9hdffMH4m8/no1evXtBqtRAK45eN/uijj2LJkiV0CnhhYSHOnj2LDRs2YO7cuejTpw8AoLa2Funp6fR5tbW1GDp0aMTrSiQSSCSSuI2TEHB805IkEWvdvjxdj4tmB6rrm6GQi7FsUh7mNtrB4/HoljvF2Uqsm16ANR8cw4xh13FG10IjUMGKwR6fHzwAC3dU0mngW+YWsz6XUgZPkAjxwC8GYMltuWhyeKCQiSAR8PGH//sOm+4cxpr+uHZ6Ie7421f0Y7HWU3Mt2q+W0m5nhdjm1SF0oypUGyDURi6aHXB4fOidLMX6GYVYuquKcb5Oq0KZToPqeis27zMwyi/Y6qqDN5uu1EkHHPQPqy6iTKdhtVPqXpGZKsPuBTp8frI2LOo9JkcNh9eLtdMLsHL3UVa7tXvcSJIK8ePlZqgTxF02Cnm1aY198nnAwrGBtOzQspeFY3MQRWeLk3jofFDf+eJ3juDNu0ZFTHF3+3wcV2GnI0Xcai0ONFpdsDg8SJYJoZS3vj46ONU6sSVDas0Hx/D5ycsAmPMlG8pWvo9Gmxt7jlwI+x1Q94XWlGYER7C3zC0mJR8tkLmTQOictMkrvummm+I9DlZsNhv4fOZuskAggK9l4tNoNOjTpw/27t1LO9YWiwUHDhzAfffdd1XG2NOhJmyj1YUECffP6WyDDQI+D8/++xT2G4z0Qnp0fxVuvr4XkmUiHKhuwPV9kjija5tmFzEiUMFpr1srqrFpdhFWvXeUMQEHt99iUxcuyVFjwc0DcMffvqYX7SU5ajwxLR93bT+I1VPzGemPVqcHHx+9gPpmF/0+irOUmDo4A2s/PB7mhATXU0dbtHe00i6h5xJsr1tLh9OOa7A2QLA9UTYiFwuwclIeirKVuGhy4I/jr8ejEwbiotmBRIkQSVIhyk9fxlc/GiMqfVN11XKxAEq5GD/WNdM1lVIhHzaXF5u+MGC/wYgRmlRsmVscpuCv06qwZW4xeAAkIj4qaxrDnOynZw6Gw+PFxs9P4bFbc7FMwEeT3Y0kmQgerw8bP/8BvxmRDavTifnbD9Hn9OQNro5AKhKAzwMmFaYz0o5rLQ7weYHjbSUeqf7Upubid44wUtytTi+SZSJcMtvxl89+wMO3DGzTGDtCxO2s0YoVu6rCWk2un1EYc717aMlImV6DG/urcFfJAMwZ1Q/f1TTi6AVzxE3jWOawYEc+NUGMlSxCg8H3hVhLM2otDvxUb8XsEVmYp9NAKRdBLhZEzHwhJR8EAuFa0+bw848//ogXXngBJ06cAAAMGjQIDz74IAYMGBC3wU2ZMgVPPvkksrKykJ+fT7cQKysrAwDweDz88Y9/xLp165CTk0O398rIyMD06dPjNg4CO6G1UcG74OpEMZ6eORhpyRI0O7xQyIRIlAhxweTAnJHZuEvfH6pEMV74/FTYQvrxyfn4+3/PsL4mtUsdHIGi0l4pJ1oqEoTtclOCS5MKHaxOfPnpevj8fobIEvW+FozVYv72Q8wxTsnHoZ8aw5wSuViAe8b0x5Jbc3HJEqi3rjxnwqKdlSjOVsa8aO8opV1CzyXUXuViAVZMysM/7h0Fq9NLO97JMgESJQIsadlYSpIKIRHx8ed//8BQ7Kc2kO5+4xCKslLw0Pjr8eynp1hfm6qrlosF2Fo6HCt2H2VEvfVaFZZOzKPt0u8HXmpxukOvwwcPU4ak4/o+ybTSuEImgrKl5lshF+Ony81YNP561oj2uumF4Pn9mLnjMIDAPWVxywYe2eCKH3KxAH2SZThz2cp4nAcgXSFllBO0lnil+mekyLBuegEsDjfqLE7UWZyoPGfC1opqFGWlYJ5OA0F7Qu9x5HyDDct2hTusFQYjlu2qiqmHdXDKfaZShq3zhsPl9sHi8CBRKoTV5cGPdU24ozgTg/umAACr3kokmzDbXLhkceB8ULZacZYyYtSZui/E8n1dMNkDaeIMUTY1axcCClLyQSAQrjVtcrQ//fRTTJ06FUOHDoVOpwMA7N+/H/n5+fjggw9wyy23xGVwmzZtwsqVK7FgwQLU1dUhIyMD9957L1atWkU/57HHHoPVasU999wDk8kEvV6PTz75hPTQ7mDYauSoqHGN0YbXy0Zg1XtH6cg1m9ASpSr8zZkGepLc39KfOlRVOJgmhxsD0hKx4fZCnDXakCgVYvM+AxaO02Lb/mrMGZnNeD61ay/k8TA0MwXLgpyFYEJFloCAs71q8iDsffgmNNpckIj4OHrejDtf/QazRmThj+Ovx7OfnKTfl83lxQufn8YrX57BysmDUJythCpBjBlD+5JFO+GaEWqvwTYZbA+TCnrj0VvzsDwkAqXXqrBycj4O/tRI11eHRqofGOvnHINIyMcTU/PxYkhqORBwFpqdHtpWf5GXFlHBv9xQj1JdPwj4wOZ9BozJUYe13xKLBFi5uwpDs5SYFxRNrTxnwro9x/DHWwYyenhTG3jdTfPgWmKxu7FmzzHkZSgY9bw/mx144oNjWD0lv82fdTxT/VNkIqzbcxwD05NRlJmCQenJ2DS7CJXnTPjHtzV47o7wdqZXG7PNhZoGGyprTFg4TstaThEs7hcJKuVenShmzNEUlJ2/8PkPGNiykbX41lycb7QjM1WGZIkI6REExgKO8JGwspEpg9M5o84AYoqQL37nSJjDXm6ohx9+1vUCKfkgEAidgTY52kuWLMFDDz2Ep556KuzxxYsXx83RTkpKwgsvvIAXXngh4nN4PB7WrFmDNWvWxOU1I0HaRzAJrZGTiwUQ8nlYOjEPCWIBVgRN4JGElioMRvgR3qqn3GBEaYjDG4xUJMChnxrg9vpw8GwDbr4+DVvmFiNBLMSwLCXUiWJ6Yg+NOL80Zxjn+wptrwUAVqcHQ7OUqKxphLHJhV7JUgzsk4TN+wwoykxh3a23ubxY+m4V9j58E4ZmKTlfk0DoaELtNZJN3n5DZpiTDQRsde2eY3h65mBGdkfw5pRcwh2hFPJ4GHydAo++fYS1/lopF+HFO4fhtYozGJSezHktp8eHRps7Ymq3xeHG3pOXsbel5jSUP7KkA5M00/jS7PJyfgePTIjseEUjnloWCrkYT0wrwJJ3jjDmoY4oG2jrOqK+2YUmp4e17ImqdW52cotxAldS7p+eOTjMyQau2Pm8Fpuev/0QijJT8OaBs5g8OAO3FfSJ+L4CjjBz42O/wYh1e05wbpxfp5RxfgaUuGKkmvwKgxH33azt8O+OQCAQ2kKbHO0TJ07gn//8Z9jjZWVlnE5xV4W0jwgnuEZOLhZg851F2FpRjRc+P40PHtAxJvBQoaVg2KLIXOi1KuypukinaW+ZW4znPj0Zkk4WqOOcv/1QmEMhiaIgy3acSj9Llopw0ezAI//6nm53Io/S4oQs3gmdAcpeKQd3Qn5vVptMS44saFhhMGLxxNywxxMkQrw0ZxgSxUKU5KhZF8QlWjW+/akBhX0VrDXg1HMWjB2AyhpT1HuCRMhHWpIkLJJNv187t9PR7Ag/TtJM40u0e197743x1LK4GroY7VlHWBxupCukeDooe4qC+nvdtIKoY6BS7mOx858bHdBpVai1OPDAuBz0S5Wzfh7RHOFyQz3+cPMA1vvNmBw1+nBE4anPbPaILM735fX7seOukZCKBFDISMkHgUDoPLTJ0e7Vqxf+97//hfXM/t///oe0tLS4DKyzEGs/2J6E2eaCTCTAS3OGtQja+LGtopquhWx2MCMVbFHiaMczUmRhYixUqvminZUAWiLhLHWcAaebhxWT8tA7WcqY4GNVBqcITj9TJ4pRaxHR7U6A6OqsZPFOuJZQETSPz49tpcNpXYRIEeNQ243luNXpwYI3D+OhW3Kw4OYB8Pn9YerCC8Zq8e1P3Bku5YZ6+FrSQKPZaV2TE8XZyoj33mQZ99SWLGPaJUkzjT+hn3Frj8dCPLUsOlIXo73riGSpCI02V0TneL/BCLeXu3QDABKlQpRo1THZeaZShnXTCiDg8aCQi1jHF6sjLODzwuw5WtQ5WPgsK1WOheO02FpRzZqCLuTxoFEnRExrJxAIhGtFmxztu+++G/fccw/OnDmD0aNHAwjUaD/99NN4+OGH4zrAa0082oh0J9h25XfcNRLlQSriCjlzAdXaKLJOq8LRn814cnoBHG4fnQK+p+oiQ/SEK1JebqjHg+Nz4PP5GTVtCWIhxuf1BsCMDJTkqHH/WC3KXj/IGMeCsVrYXF4o5IGFWLZKDr1WRW8qcDkEZPFOuJaw2Sq1WcXnsQs8JUq5079DjwdvThVkKOgskrKQuuj52w/Sda+j+6uwtaI6Yq1pmU6DB3ZWYuPsIgDhraG4omsUUiGf01EXBN1ySJppxxDtO2htf+quTHvXEepEMc42WDlb3tlc0VPHHW4vlk3KQzSXPFkqhEwsAA9Alppdzdxsc9E12aWj+3Fez+byYvLgDKyekg+r0xM1Y4BN+EzP0iYQCMzdA9ISW93ijEAgEK4GbXK0V65ciaSkJDz//PNYunQpACAjIwOrV6/GokWL4jrAa0082oh0FyLtypvsbkY6aFFmSszOqD4kihzcCuuDhXrktkTeKmsaw5zqaJFyo9UFjSoh7Nxxub2w+NZc1De7kCwN9CFNlArx5anL2DS7iOEglL1+EMXZSjri0Fcpx5MzCrFiV0A1mVIz5wEMdWOyeCdcSyLZKqWLcJdegxKtOqymss7iZNhuMHqtCnUWJ/13sK0CAXsMzvYIxenxYWtFNcZe34uz1tTj88Pm8mLRzkqG065RJ0AuEiAlQnQtGJPNRdeZhjrq83QaWJ0e7F4wmiiLdyDRvgOTrefMne1dRyjkYlynlHHaTbQMgQsmO90abMvcYk47F4v4aGh2Iqd3UsTrXbI46PtHtAyUWosDN1/fK6aIcyThM2qswfXe1DxLnGwCgdBZaZOjzePx8NBDD+Ghhx5CU1MTgIBwWXckXm1EugORduUlQj4jHfSHS014865RWLvnGCoMxojOqE6rwpppBagx2vDSnGG0c0vtWAcvPti+h2iR8v69ErDm/WNhk/++k5fh9PgweXAGBqhVaLC54Pb58OjbR+jnUJEDyvG+2NKqCwDW7jmOIVkpKNX1g9Pjg5DHwzydBveP1UIiJDVihGsPVwRtv8GIZRPzsGDsAPjATPN++7tzWDe9ECt2V4W1xVozrQA/N9jx0pxhuE4pw7+P1zKiS7FkrtyQrUSiVIg/f34qYq3p4lsDdeDBTvuYHDWevWMImh0enKm3IlnmYghJhYpMKWRi3PXGd5g1Iissur5oZyX+de+NUUWYCO1DKhJiyTvf4emZg+lWcYlSIeosDix+5wj+b/7IqzaWay1mGo91hEImxrb9x1nthgfg+V8PjXhuaIR48TtHGHM0BWXnc7d+i1d+XxzxM/q50YbzjXb6b2qOp8ZDUZKjxtppBVDGsDlGwXXvourHB6Uno786AekKKbFhAoHQqWlzH22K7upgU8SzjUhXJ9KufOU5E27sr6IXxfXNLsx57Rs8PXMwFrcssJQJIqybXoCzDTZYnV5IhHzUWZz44MgF/OUz9jY+wYsPtu8h2i662ebm7N+5bGIeJm4sh83lZaiRRxJrGpOjxpppBfjqRyM+P1HHet29D9+EAWmJrMcIhKtFJFulNpD4fF7ENO/fbTmArfOGw+H2wur0QiETocnhxq///jXdEmvL3OKwyHUsddUbZhTCaOWuNfWF5LWOyVFj3fQCLN9VxbA7KprlB8Ki9yUtLb/mbz8UVtOp06rg8vp6XNnP1YbHBzbNLgrT0dBpVdg0uwj8q5Q53hnETOOxjmh2eDgFzJodHvRmkV6oMVpxrtHOmAtD52ib0wu5RIA6ixO//vvXyO2TBEWECLnZ5sJZo43xGFsGSlsd4WjR/3MNdrz1bU2P1MchEAhdjzY52kajEatWrcIXX3yBuro6+HzMFN6Ghoa4DK4zEM82Il2dSLvyb31bg5tyejEeq292MdoA7bhrJO5648qiV6dV4fEp+Xjm45OsdWe1Fgdj8cH2PWytqMbW0uHg83isdaiXm6+kubJR0xhYLCwcp0VmqowWd/P7/XjzwNmwRc2Xp+ux8r2jUXt8EwjXGjZbDd5AGpSezJnmfbq2GTsP1ODJGQWQiQSQCvnYNm84rE4vRAI+zHYXfpHbi9G6KVLmSmhUqzYoO4QNn8+PvQ/fRKs/J0qFYU42ABw624izDTb4fH7MHpGFeToNXa9afroe8AMrJuUx+oRTactmmxvsVeqEeCHi87Gl/AyKspS080XVFG8pr8aySXkdPobOImYaj3VEW9LPay0OLN9VhTtHZYcdC56jX5ozDL955TCAwPz55IzCiJsQ9c0umOxuHL9oYWysBd9PSnLU2NzGzzZa9D9FJupxay8CgdB1aZOj/bvf/Q4GgwHz589H7969wYsgrNNduBqtPzorwSl3qQlilOSo8d3ZRoZj3DtZCiGf+zegkIvw+rwRkIn5EAv4kAr5eOaTk5gzKhvzSzR4tfwMAGBYlhIiAQ9DM1Nw0ezABbMdMpEAfPBgdriwdnoBXB4fQ1Blc8h3kygVwur0wOHmVlaVCCO3GZqr64dvzjSERcPKT3MLv/SkUgJC5yHYThUyEWRiAaPVllwswKbZRZCKBJgzMhuZqXLO62nUCVg7PR8CAGfqrdi47zT2G4zIVMrw4pxhSFfIcM+YAXhkQi7cXh/uf/MwzjXa8Y9va/D0zMFwuH1ocriRIBFCLODDZHfB6w+EqlOi3DcVMhEjK+THuuYwJ5vaNHhx32lGpE4XJJhECSJumVvMiNjvOHAWgzIUmDG0b2s+YkIrcft8mDUym7WmeJ5OA7ePW2MjHnQmMdP2riPakn5usrtwQ79UZKvYBc0oNOoE/OOeUUiWiZAoFiCT5fnUPcZodSFbJccj//o+omDh2mkFEd9X8L0qMej+kCgNpPRzRf+J8BmBQOhqtMnRLi8vR0VFBYYMGRLv8XRaOrL1R2clOOVOLhbgxTuHYeHYAfD5gc1fGBiLp/UzCljFlYDA5Oj1+dFoc0EmksHu8sFkc+NXxVnww4//9/VPuJNjQbbjwFncXdIfDrcPv3nlAIqzlWFpf5H6e0aasHVaFfx+P6PNUHBkHQD+3/yR+OKHuogtRULpaaUEhM5BqJ1unF2EHQfOYu7ofvD5/aisMWHj7CK8vr+adkoXjtNGFEMKOOh1GNArCekKGfx+YOnEPDRanchMlWP57qNhbff+3/yRgN8PZVDta6SU3Q23F7YqjTY4kkfZ6M3X94LZ7sY8fX8MyVLSNkqNi8o6MdvdjMwa6p7yj29roNZz9+omtA+eH9hx4CxrRHvHgbNYcmvHR7RbEwWutTjQaHXB4vAgWRYQyYy3Q9eedURr0s/NNhcuWRywODwYqUnFRZMd43J7YV9QBgqFTquCUMBDszOgf3BbQZ+w54Ta8sJxWgzLSglLF5cI+ahrckIpZ98UYLsnUDY5+9XA3P70zMGc0X/iZBMIhK5Emxzt3Nxc2O326E8kdFmCU+6oaJhYyIfL64eAz0NRlhKVNSbaAV334YmWntL+sAjT41MGYdYr3+CpmYPx1CcnmGIpWjX+NGEgNu6NLI5UlKXE5i8MmFSYTi+gY0n7i5SuV5KjxtzR/SDg8RhONpeia7Do03VKWdiCpyeWEhCuPaGpsffe1B91FgfmjMyGy+vDw7cMhEImwlMfHWfYZbB4UahA4QNjtVAnSbDyvaMhtqrC/WO1qKwxMcZQYTBixe4qPPOrIQxxskgpu6vfP4b1MwqxbFdVTDZERfJitdH9BiPKWtSur1PKsOOukTDZ3XRE+x/f1mANR8SNEB/8AOcGqj9qk6n2E2sUuMZoxdJdVWEbSOtnFCIrSjT4ahFr+jlbayydVoVVk/MBgOFsU9/FmctWvPnNWVb7Y7PlK/eP0GwwFTbczj4Pmm0urHrvKIZkpqB0dL+wjRdqbl/cMrf31CxCAoHQvWiTo/3SSy9hyZIlWLVqFQoKCiASMSez5GQWRQ5Cl4JKuaMWt8HRMCB8cWtzeTF/+yG8dc8olDY5GamaTo8Xvx2VjdeDoscUVAR8SFYK6247tWjevM+AMp2G3s2ONe0vQSzA2mkFsLo8gX7YMhGSZSKs2FWFGcOuo58XrJoe+vrU8c37DBiTo0afZClZBBA6BcGpsXKxABPz0/HEnmNhyr9zR/fDV0GlEMHiRYsn5uJcgx2ZqTJ8eqwWX50x4rufGlhsNfD3P+65EZ8ev8TI9KgwGGG2u+ksE66U3c9O1GHpbXm0DZlb2gPy+TzY3V6YbUy7piJ5gzNTYrJRINBKjLLVPslS2lZnDO0LtV5DbPUqwAM4v6/HWxy/jiSWKHCtxRHmZAOB3/SyXVV4/tdDO00UNVr6+ZXe1uGf+Zo9x1Cm02DOyGw4PT7a3hftrMS7942OuHHNZsts9w+JkI/+6gRcF6EsxWh1YdaIrIgbL8KWEkRqbh+QlkjslEAgdHna5GinpKTAYrFg3LhxjMf9fj94PB683uhptoTODZVyF+yAhoqWUZHuB4Kc7fONdix48zB9nXG5vTBtSAZ+md8H1/dOQpm+Py1YRC3Syw31KNX1izgWql92aN/saMJjgZ39I4x0dmr3f/XUfEYf16LMlIjCUJSzHxo5IIsAwrXG4nDTdvnLQb2xNsjJjlYKQYkXDUpPxpsHzmKEJhUA8Iu8NFzfOwnzWG3ViNImByprGsMyPYLtMVrKrsXuRv9eibC6vFj9wbEwxfDQlkDLJ+XB5fVFtVGKUMEkYqtXH58fEVWyA+rysUW0Y2nNFek5sUSBL160cKp5N1pdtKN9rduEAdzp5/XNLpQb6lkFRg/XNELA46H09YMAAgJom/cZUJKjDlMHp95ns9ONJIkIb//hRlxudkIiFDDuCdT9g5rzdy8YHXHcHp+fc+PlkV8OpB8joqIEAqG70CZHe86cORCJRNixY0ePEEPriVApd8XZSmzeZ4iYtlmiVTMW3MG9dMfl9sLiW/Ow5oNjnNFwINyJDoa6ZmifXi7hsSs7+8ydeEqp+MV9BgzJSqFVU7leHwgINJF2IoTOhkImou2yKDOFtrPWlEIoZCLcpe8PP/zYUhH9+U6PjzWKnCQV4ce6ZlgcbsjEAiwcp42ob5AkFUVMLy8/XY/lu6swfWhfjNSkYvnuoyg/Xc9owccGZcNEMKlzYHV52nUciK01V7TnRIsCWxzc46CO/9xow1mjDSa7G1KRAHtP1uGHixY8Ma3gqrUJ4+KyxYFGm4vT9qcMTodcLKDn6pIcNZ6cUciY16jP87uzgc20Zz79IUzsLNKczzUn+3x+zo2XJROvrCOJqCiBQOgutMnRPnr0KCorKzFw4MDoTyZ0SaiUO6lQACByajXlyL5510g43F6okyT4++9uoFXI1+45Fia4FLxI31pRjTK9Btmpcrq9VvCOuU6rovvz1lkcKOibgoXjtPjhooVTeKyuyckqzFam12BTi4Lydy1ROSDciQ9F2QPF8AidnwSJkLbLOSOvtPDhKoXg40r698kLFjjcXlT9bMbBoHRxrmg4ZSvBUWS9VgXAj1/8+b/0a5VoVdi9QIdqoxUiAZ+26+JsJdSJYs708v0GIxbfmstI6Y1moxIhnwgmdSISJNzLi2jHY2nNBYT3UA99DhUBjnT/TpZyjyNZKsT5BhsWv3skzOGcp9Pg8feO4rk7hsQ0P3RURPyc0Ypmlxdenx//b/5I/HDJEqalsN9gxLo9J1Cm1+D7mkakK6RYP72A0YEg+DNfOE4btVSjsqYRlecCrxNNDNQWZWOlsSXDjIiKEgiE7kSbHO3i4mKcO3eOONrdFEp9deE4LZKkIiwcp0VxljJi2iaV+j1/+yF68fHAzkq89vtiVlVjIDBZ363vj6GzUyJG3XYcOIs7R2Zjx4GzeGBcDuwuL37zytcYlpWC9SG78KGY7OFKxUWZKUgQCzEsS4miFqViqs6sV5IEJVpVWG0bQCZ+QufF6vTQqs4JEiG2lg7H4ZrGKPYaSP/+X00jVk8twKxXvsbTMwfjhc9PA+COhm+ZW4xvf2qgH3N6fNBrVVg3vRC/23Ig7HWe2HMsIGa4zwCdVoWtpcPRL1UOhVyMM/VW1vFR9irk8zFnZDbmt6SwV/1sZvTtDaYkRw1tr0SSddKJ4PN4Eb8vnVYFQZRMuFhacwFod/suZYI4ogK/XqtCskyExW9/zynWGcvrxBKdj4XQVn5CPg/Ld1VFzRoDAnP1fTcPQIlWjSSJEC6vH5U1jYG2XhIhTDYXfjsqG49NyAWfD85SjQU3azE0M6A8HosYqELG/fl4vH4iKkogELodbXK0H3jgATz44IN49NFHUVhYGCaGNnjw4LgMjnD1iaS+GpxyxgaVtrnfYASfx8O7942OmpKnkIvw3L9/YI+68Xh4Ymo+bC4P/jj+esglAkzdtB82l7dF5fgo56I6QRyIxMeSQrt5n+GKiiqPF7YQIhM/obPiB1BZ08iZIsqG0+NDhcGIJ94/im2lIxjRJu5oOA839FMCCNhWbp8krJg8CD/UNuGJaQVhNd3BUe/9BiMEPB4diWRThOay17v0/TH4OgV9LQrKRtM7Qfou4QoiPg+PT8nHmg+YWU16rQqrpuTTWU+RiKU1V7Qq71hqfXsnS2kV/NBxrp9RCKfby7oBC1z5fUd7nVii87HMMaHO+spJefjPD3Ws4mcAs7SDQizkIy1JgmUtJRnB77dMr4FYwMdTn5xgZMiwIRHykSQR4IOF+pjEQKP2x1YnkI0yAoHQ7WiTo/2b3/wGAFBWVkY/xuPxiBhaF4dLfXXdhyfw1j2jcL7RHpbeDTDTOstP1+Nnkz1q7b5UJIhYs1V+uh7V9Va6B+5b94xiOA2HzjbCZHMz0vASJUJYnR6Y7W6kyETQaVUoylLGpFRMqah+vKgEHp+fqIkTOj1mmwurQ1pwAS0poh+ewD1j+tNR6lAoey03GPFHrxce3xWXhUsYkMpekYsF2DK3GI+/dzRiJA0AnS0SXBZyqckBgH3hHU39f4QmlY7gK2QiKOViYqOdFLlEiOXvHsHQLCXmBfVZrjxnwjMfn8STtxdynh9ra672PgcAslQJeOZXQ2C2u+l7v0ImQkaKDJU1jZznOj2+qK8TS3Q+2m841Fkf3DcZ+hw11n54gvX5oQKBFMlSEa17EEyFwQgegImF6RHPDUYpF2NAWiLnc4KJJkxHNsoIBEJ3pE2OdnV1dbzHQbiGUKloDo+X0/EtHd2PVhcNXlCP6h9QK94yt5hWOFUliMHn8SKm5Om0KlxucnKOK0EipBfoSrmIjtBRUa8Vu5npcnqtCqU6DRbtrMS9N/XHwrFa+Pzc6W/Bi4nibCVSgpSOCYTORnDaqEwsiBhpKz9djyW35uKVL8/QG1RUSvaN/VXw+vx0mjkAnLxoQUmOGuWn66MKAzo9PqyYlIeXvjBEjKTdM6Y/CvoqIgoyPfKv77FmWkHYwjsW9f/52w9hTI6aRL86ORa7G5+fvIzPWdo2AsBiu5uzll6dKMYteWkYmJ4cpp4drNERrX1XLFw02fHfHy4jLVkCp8eHZqcX/ztnws3X94JCxu1Ep8hEUV8nluh8NIKddXWiGBtnD8OPl5s5zwm15ZIcNSRCfkSnv9xgRGnLnEhpo7CtCdpaThVNmI5AIBC6G21ytLOzuVOKCF2H4FS0aKq+wY7v4ZpG7DhwFqunDMKQTCXWsPTuXTh2AMr0GvjBTPWk6riDo2hsWJ0ePPKv71Gm10AqVGHr3OGwu73w+f1488DZsEV+hcEIPwJRsb//9wwG902BOIqAErUQISnihM5OaNroy7/lttdLFgdWTMrDsl1HOVOypw/JwM25vTAoIxk+vz+q6Fhmqgy9kyVYtuso6/H9BiMe+eX1OHGxie7bG5wFs27PCQzJSsHilpTZTbOLcMniwPlGOxLE3FMS1R+b2Grnx2R3R2wztbWimqGjwYZCLsbKyYOwdFcV4zdLpXRT33+09l3RMNtcOGu0YU/VhbB5SqNOQH91QkRnXq9VIVslj/o68YjOBzvrz/5qMFburqKd4kgE23JJjhobZhTCaOXe4KbmRLqcCuylGm21Py5hOgKBQOhutMnRpjh+/DhqamrgcrkYj0+dOrVdgyJcHUJT0ahJOdLiyOHyMiLa83QaZClleCLEyQYCETWf389I9UxoSe2uPGeiRci4xHKqfjZHbCk2V9cP35xpCKtBDbQJyQMAPPr29/jbb2/g/Az6qeTY+/BNZFed0KkJtdVMpQwDeycxskhCyzl4PB6u752Ejxbp4fH58ewnJ1lTsp/44BiemFaA+dsPRRUGLNGq8emxWozolxpxrHKxAElSMT6suhixLdA8fcBBuGh2wO72IlkmQkFfBRptrkiXBQD0J3WcXYZECbc+RqJEwHm+2ebC8t3hpRGhGh3tjZI22lzY9MXpiOUKT04Pz7wArjiufZVyRIOrPjnW6DDlrMvFAqQrZPiuxoRSXcAm2TpslGhV6JUkwb/uvRFysQAKmQjXpcqjZqxQ6wCqnKpMr0FZS+p/f3VCWM9tAoFAIESmTY72mTNnMGPGDFRVVdG12QDomlxSo901CE5Fk7eIh43PTcOskVlhiyO9VoVb8nrT6dvUImT5bYM4e2NSqZ4A8NKcYbSjDkTeMaec+GMXzBFbivngZxV6AYBzDTZU1jTiqZmDcaDaiA23FyItSRLmkBRnK9E3RUYWDYROj8nmRunofpg9IgspMiH6KuVYwaE0PCwrBX6/H3VNTshFAqiSxJHTzA1G2F1e2FxehjCgD0y71GtVeGTCQMx+9RtMyO8dcaxleg2eeJ+9dpw6LhcLkKGQ4meTHR6fH0I+H00ODzxeH3bePRL7fzSG9eAek6Mmi/wuhFwkxM4DZ+mN1uD7784DZ7Fqcj7n+a2pa25PlNTqilwytd9ghNXlRZPDjSenF8Dq8sLi8CBZJoRSLqZT36O17YpWnxzL2ClnfXBmCmrNDmycXYQ3D5zFXF0/+MDsUV2iVWGuToNZr3yD10uHI1kqxHUtbbyiiZIlSAT0PE/dE6ixkk0uAoFAaB1tcrQffPBBaDQa7N27FxqNBt9++y2MRiP+9Kc/4bnnnov3GAkdBJWKRqWVvnngLB6+ZSA2fHyCNYrAww8MgaX9BiOandzK4sG756EpqaE75skyERLEAnx09BIW7azEptlF+Mtn7GJOXGItcnFAZE0i5OPB8dfjuU9OhjkkwW2GCITOzAWTndYjkIsF+Mc9o7CMRbSQ+nvFpDykJUsh4PGgkInw9Rkj8jOSOV8j2KFli2Rp1AnweP2Y9/q3sLm88PsRMRvlxv6qqHXWSRIhPqy6iMoaEzbOLsJTn5wIc+qD2xORdPGuh9PrxeyR2awR7Xk6DZxRNuTjUdccCzYn9zhsTi/MDjee+uSHsBTqp2YOBg/AYzG07Wpv5F0hFwecfbcXQj4Pj78fyCT75kwDw1YVMhHSkiWYtjnQpSNJJkKmKoFxrTXTCrDyPaYgmk6rwtzR/fDal9XYMrcY87cfou8LxP4IBAKhbbTJ0f7666+xb98+qNVq8Pl88Pl86PV6bNiwAYsWLUJlZWXcBvjzzz9j8eLF+Pjjj2Gz2aDVarFt2zYUFxcDAPx+Px5//HG8+uqrMJlM0Ol0ePnll5GTkxO3MXRXqFQ0Sum3ssYEAZ8XWRDNUI8Hx+cwlIypSHgkgp1rNnEVasdcr1Xh+V8PRbPDQy/KYhFlCkWvVSE1IbAYGJShCHOygfA2QwRCZ4VOGW9xsjffWQQ+L7KN7jcY8dD46/H7rd9i0+wi9EkQQ8jn4Tolt6JvgkTIEC4MjmTptSosnzQIiRIB/jprKHjgQSriY15Q2y6KWPojA8D3503YbzBi4Tgta9ZKhcEIHo+H9+7Xgc/jkdKOLojfD04F+VWTB3GeH4+65lhIlnEvg5JlQryw91TY+6Bac00sTGdt2/X4e0exbkYhmh0eRqS7NUrdwZwzWlHTaIdIwEeSVEiPJ9hWKd7+w42wubzQa1VIkl55f+cbbFj67hF8V2PCptlF+MNNA2C2u2k1eGpjy+n14b37dbhkcaBXooRkkhAIBEIbaZOj7fV6kZSUBABQq9W4cOECBg4ciOzsbPzwww9xG1xjYyN0Oh3Gjh2Ljz/+GL169cLp06ehVCrp5zzzzDPYuHEjtm/fDo1Gg5UrV2LChAk4fvw4pNLIiqaEKylklNLvoxOujxqhDhUwSxALIiqLl7SkelICakfOm7BonBZ88Bg1ZVSam9XpYaS1RRNlSglRg9W1qI4LWk4blqWMGFmLtaUKgXAtodJnKSd7W0U1Zkfpb1vX5ITN5UXfFBm8Ph+++6kBHp+fUw/hYLUR62cU4lyjHWa7m07xPXHBjBWT8/H7LQfQT5WA1VMHYdf/LkDI56HqvImRFkwt1n1Ruhv3Vcqw+J0jWDhOiwn5vSO3EjtdDz6P12bHhHBt8fnBuSEURQszZtXx9iIW8DnqnNUQC/gR38eXp+sxd3Q/AExtE5fXh0ylHPtO1GLthyfoyHBJjhprpxVAGaW7RXAqukImgoDPY2SxRBNCvNzshF6rwpMzCnFdSw35z402rHr/KIZkKVGq0yBBLITN7cXxi5awMo3y0/VweLx446uf8NwdQ8g8SSAQCG2kTY52QUEBvv/+e2g0GowcORLPPPMMxGIxXnnlFfTv3z9ug3v66aeRmZmJbdu20Y9pNFfShf1+P1544QWsWLEC06ZNAwC88cYb6N27N3bv3o1Zs2bFbSzdEapu7IdLTZCLBZiQ3wd1Fm5F0uAIdkmOGgd/akCpLlxZvESrxoKbtfjV375mLDKmDsnA0om5WMrnwdjshNvrR69ECfb9UIsMhRQ/Ga1YM60Aq947ytleRKdVQZ0kocWggnfkt8wdDrlYALmIO9oer9RDAqGjoNJn7xnTH9sqqhntdyKRliTB+Lw0eH1+PPVxIKPju5YUbSDcTu8e0x99FFIs21XF2DCjnIJFOw/jXKMd5xrtcHh8GJalRNXPJswZlY2tFeFpwb8c1Dui3ZZoVeD5A0rR2/ZXY1A6d0o7sdGuizXKpm2047GqjrcXo9WJefp+APyM7KcSrQrz9P1Q3xxdpZtL1T+4BKL8dD1W7j6KR28dCKnFid7JkrD3EdpdYOE4Lb6vaWTYk1jAvQndT5WADTMK6ZRxs82Fcw023BkhlT94jBSXm5xYO60AAPBjXXPE+nMCgUAgRKZNjvaKFStgtVoBAGvWrMHkyZNRUlIClUqFf/zjH3Eb3Pvvv48JEybgjjvuwH//+1/07dsXCxYswN133w0g0M/70qVLGD9+PH2OQqHAyJEj8fXXXxNHOwYyUmRocrhRptfA7vbiqzNGjkWyGjzwWv6vwuqpg/DB9xeRliTFI78ciCUT+Wi0uZAgFuCHS02Yv/1g2C754+8dxaO35uKyyYEUuRjlpy/j1oI+KM5OxU9GG6QiAb744TKmDMnA4EwFpg/tiyc+OBZWSzZPp8GFRjsttBZMojQQWfD6uUMm8Uo9JBA6Cip9Vq9V0yUbXBtQJVo1Ttc24bFbc+HzMx2HYxfMWHxrLoBAummyVISjP5uQmiDCEx+wdw5Y+d5RPHvHEDQ7vSg/fRnnG+249/99hxKtCrcVpOPRCblYPomPy81OeLx+HK5pRNnrB/HUzMEAwp36ubp+4PGvpBRH0lmgIDbadUmUci8vqOORhMRiVR2PBS6xsgSJCL/fehBleg1KQ7IzFu6oxDv3jea8tkTIp8uvQsdaWWPCpEIH3igbgbomJx2Rb2h2ofT1g2G13LUWBxa//T3DboN7y1NRc87OADlqJEmFdCQbCGTGSEQCbPrCwClSGOyAZ6XK4QOwcGdl1PpzAoFAILDTJkd7woQJ9P+1Wi1OnjyJhoYGKJVKWnkcAM6fP4+MjAzw+dy7r5E4c+YMXn75ZTz88MNYtmwZDh48iEWLFkEsFmPu3Lm4dOkSAKB3b6YCbu/eveljbDidTjidV3apLRZLm8bXXRAJ+BjdXwWrw8upBL5yyiCI+Dx89vAYeLx++P08fPdTA6NmW6dVYcnE3Ig9dssNRpQ2OWkHuUSrxihNKu5+44rwik6rQoFOg6c/PokhmSkYkpmCP9w0AAI+DzaXl1atzctQhF1fr1WhzuLE6P4q7k2DGFuqEK4uxDaZqBPFKMlRw+O9smkUyUYpVfD/nKrD5SYnxAI+tpYOR9XPJhT2VWBLRTVDXJAq2RDwI6fGlp+uh8vrw++2HMANWUrcVpgOuViAcoMRqz84hqKW8gx9S9kGlYJKiaktuFkLr98PAY8Hh9uLB3ZW4v/NH0G/HtemQaxtjwhXj9bYp5jP58xIEvP5YdFb4IojZ2+JALPRmtIfrtfISJFBKuJjWFYKawmDXquCVBT5fYzJUaOuyclaphQc5Q6eD3VaFaYMDtgRVee9aXYRrC4vfqq3hjnPLq8v7HpcnQHWTS9gONkA4PX7IREJonYICX5fSVIRHvnX96z159SYSWS780DmTgKhc9I2D5iF1NRUhpMNAIMGDcJPP/3U5mv6fD4MGzYM69evR1FREe655x7cfffd+Nvf/tausW7YsAEKhYL+l5mZ2a7rdWXMNhecHi9EQj6EAh69SC7KUmLL3GK8NGcYtswtRlGWEu4Wldg17x/Dh1UX8fj7R1mFxqKlnweLmJUb6rHpCwPK9Fcm+f0GYyCtNEOBggwFNu8zYM5rB7Bp32kcrmnE9zUmrJySjxMXzIzrBhYZheivToBUxMfWimrM0wV6dQej06rwxNR8skjohBDbZKKQi/H4lHwkSK+UQbDZ6IcP6LH41lyYbW58W92AOa8dwB1//xplrx9EWqIE2yrY2uQF7KzZwZ3CW2dx4h/33IghWSl45uOTtK3uNxhRlJkCIBBlfH1/NX3M5vKisqYRdnegztPpCTjZNpcXdU1X7g+RbJSoHHdOWmOfJrsL8/UalIR8tyVaFebrNTDZXWEOMHDFkTPbuXuqx1JWENp/Puw1bC7AD6ycnA99yDj1WhVWTcnHhQY752/05ut7seqJRIpy7zcYsW7PCdpWvjxdD5PNjcXvHIHJznxPcrGAFjIMvl7oPWDL3GLsXqDD+hmFYdolF0x2rP3gGOqbYpuXqffV7PBE3eggdB7I3EkgdE7aFNGOFX+U1N1opKenY9AgpjJpXl4e3nnnHQBAnz59AAC1tbVIT0+nn1NbW4uhQ4dGvO7SpUvx8MMP039bLJYeeVMK3unfWjocR86baFGY0N35Eq0KN2SlYGvFSbpONJKIUTRCFyVsKaTUY8FO+X6DEcsm5gEAfvfaAayemo+HbxkIq8uDBIkQtRYH/H4/NL0S4atrZm1TRKUEEjonxDbD8fl9SBQLGVG1YKXhEq0apbp+OHrBjG+rG8IW9mnJ0og9tPcbjFgxKfo0UNfkQGVNI+bpNBAGbagG22eFwYjlkwZhdH8VkmRCeLx+mG1u/CKvN0OJPLi+lM1G+6sTiMpxJ6U19imXCGG2ezCxMJ2Rkl1rcYAHHuQSIacjt+y2PM6xxFJWEEsvbnWiGMt3VWGeToPFE3PR7PAiUSpAncWJjZ+fwqMTcmG2u7B+eiFcXh+sTk9Yay6zPdzpD075DqXcUI9SXT/6b6sr4NSWju7HeN49Y/rj6HkzdFpV2PVC1cY/fEAPMZ/HsJvgVPR5em79nH4qOfY+fBP9viprGjmfT/QTOhdk7iQQOicd6mi3F51OF6ZifurUKWRnB1R3NRoN+vTpg71799KOtcViwYEDB3DfffdFvK5EIoFEIumwcXd2zDYXzHY3lu+qohfgh2sacfyCGSunDMITHxxDZY2JVlAFgN7JUsAPfFdjAsDdeqvynCli/ZhOq2J1dNmuRy3MgjnbYKMXF1T6uU6rwqTCdPTvlUi39gpWLw9d7IzJUeNuPXdtKOHa0NNtk41EiQgutxcLx2oBhJd0lOk1+P68Cb/IS0NOWhLm6/vjcE0jncYdrU0ej4eIqsuUvQ5KT6Zf95FfDqSPh9rnBRO7bkKJVo17xvTHC5+fDksXD3YYxuSoSUpqJ6Y19ikR8PFaxRnWdGW9VkULbUVCwOfR9/BQQssKItVgx9KLe0BaIpZNGoQl7xxhvBYV2U1PkQFIiHwRAOCF95VvTXtKa0vZVNXPZpTkqOnNAb1Wjd9v/ZYuFeHC7vaij/JKOdUFk52Rin64ppEzBb5vioxhd1ervRohPpC5k0DonMQtdbwjeOihh/DNN99g/fr1MBgM2LFjB1555RXcf//9AAAej4c//vGPWLduHd5//31UVVXh97//PTIyMjB9+vRrO/hOhtnmwpnLzai+3IwLJjuaHB6GI7y1ohp3jszG/2oaMW1IBnYv0OH7mkbM334I87cfwuRNFXj6k5PYOLsIcrGAs/XW1opqrJycz5qyPa+ljjMUtuspZKIwp5ztefsNRvROluLFL6441JSi+pgcNeO5JCWV0Nkx21z4sa4ZlTWNOHO5Gc1ON5xeHxxuHyYVptPp4m//4UZMH5IBP/w4+FMDpmzajwVvHkbZ6wdRWdMYk60CgMXmxppp3PZKXWO/wQihgEcfjzU7pNxQj5sHpgG4ki4emqpLbLN74fD4ItYEVxiMcERxRAV8Xkz38AsmOxburMQv/vxfzHjpK/zi+f/igZ2VuGCyQyGLzVnMSJHh2TuG4JMHS/DPe2/EJ38swbN3DGlxsqPj9/vD0suj2R11vCRHTad7iwQ83H/zAPo6Hq+fzvqI9l6UcubGw+K3manorS3ToDar2SD6CQQCgRAbnTqiPXz4cOzatQtLly7FmjVroNFo8MILL2DOnDn0cx577DFYrVbcc889MJlM0Ov1+OSTT0gP7SCoFPHifkrcktcbT350AnNCevFSk/m9N/XH1MEZWPFeuNpruaEePvhRptdwihgVZaXg42MXGT1205IkOFXbFNZCBGBfsOu1KiRJhQynnGth7/T4UB4ikJORIsOm2UWob3ahyeEOS/cjEDobweUccrEAL905DNelynG2wYoHWlKseycH7m3NDg+GZimxmkUxPFhJOJpKeZPTg6qfzZhcmBFWYhGoA01h2F2jzU074Yt2VjKuxeV4u70+7H34JjS1RB2f//VQNDs8xDa7Kc0xtPfiilirWqLSXPfwaDXYz94xJKaoeDTBtGjIRULsOHCWnvPkYiESJILIyuAtc5lOq8L9Y7VIlolwS14axlzfC7/5+zd0KUVSizK7zeXFf05djlk48JLFEZae3toyDWqzOlKkn9gqgUAgRKdDHe1QcbS2MHnyZEyePJnzNdasWYM1a9a0+7W6I8ELkUcnDMSGj05EbKtjc3nxl89Oo7BvSlR10gd2VrL35c1RY+7ofmEONaWYekOWkpGiWqJVY8FYLeZvP8i4xtKJufj91m8ZPbip67JBRQdC68YUcrJ4J3QNgm2VspeLZju2VJxBqU4TVpMJAFtLh8dkq1vmFoPP4zEcCard1uJ3juDZXw2BVMTH5pD2P2wOda9ECZbflofPTtReuVaOGk9MzcfkTRUR31+CWIABaYmMx3pzt9EmdGGSYmjvFYsjx3UPj1aD3ezw4KmZg8Oc6JKg14jmrMdSypAiF+GeMQOwad9pbN5nwJa5xZi//SCrMrhOq8IT0wpQY7QBAB791/fYcddILJ+Uhx8vWxl2/v5CHe1cR+o2EPp5mW0unG+0AwhX9W9tmQbZrCYQCIT20anF0AjtJ3QhQu2uc0W5YvnegnfH779ZC35L6y2NSo4nPzoRFrW2ubzYceAsSnX98IebB4AHIDVBDImIj8tNTmy+cxgcbi8kQj4arC6kyET4xz030pO7WMDD4x8cC7suwIx0k7oxQlcl2FYpheEynQblBiOGZClZ7dXhDreHYJweH4qyUsDn8VCm64fS0f3oiHW2So6nPjqBWSOy8FrFGVqX4aHx19PiTlRUO7j13odVF7F5nwElOWp8sFAPj88HEZ8Pm8uDoiz2TTqdVoUEcadOoCLEGblIAL1WhYoINdpykaDdjlw0ZXKz3Q2xgIeJBX0Yv/06iwOelrZZsQimRRuPQi5GdqockwcHskJSE8S4IUvJKsZZa3HggyMX8JfPTkMuFmDH3aOwZFcV5rOIlX3xQx1DmyG4bZ6Qz0OKXIQ+ycyIdLAaeCTnvKQVUWmyWU0gEAhtp0NXPsePH0dGRkZHvgQhCsFiMDZnYLEsFwsg5POwZGIujE0uqBIlcHq8uNzshEImQlqSBHKxgNWpBQK101vmFgMA0pIl2HuiDq98eQY3ZCsxX6fBb0dl06ncFDqtCneOzKZb/GyZW4wnPzyOG/qloneyFMOyUmB3eZEkFaE4Wxk2sddaHPjTLQMxZ2Q2eDweLfZUlJVCR9xI3RihK2NxuCEXC1Cm12BCfm8MSk9GWpIED92SQ9trncXJ+P2HtvIJJTNVhkmF6bC5vLh/xxWHuUSrwuKJeZg9MhsZKTI6yrV5n4FenIe2JgqNbpefrsf6j47jzpHZUMhEcHl8WHZbHr4/Z8K6D08wnPMHxuUgRU42wXoSVpcHd5X0Bw+8sCym+SUaWF3M1HI/ALQyCU4eZfMmQSLAkl1VEQXZ/vzrofD6fNgytxhOjw9SkYAhJAhcURSPJLhGkZ4iw20FfVDf7ILV6caa6flYtfsoIwuFsqF1H54AENhQe/7Tk6isMUGVIAafD/zjnlGQiwUAePjydB3cHj8mFaYznPWaBhv0WjUyU5n9soHAfSR4Iz3U2U+RiTAgLZEuQSEQCARCxxGzo3377bfHfNF3330XAEhrgU5AsHKoUMCjU1K37a/GK1+ewcbZRXjqkxNhu91b5w5H2faDYc52iVaNRIkQLo8PX50x0gsSvVaFNdMK8MwnJzB7eDaW3ZaHCyZ7WL0ndT2nx0e3CZu//RBnGhtb/VyJVo3dC3T4+NhFLNpZieJsJakbI3RpFDIRbZvU4lwuFgTEz74w4NlPT9HPLdGqsHuBDlIhL6JieIlWDZlIAB6A+3ccZji+c3Ua/PrvX2NU/1QsuFnLOC+0ljNRIkSz0xNmw3KxALNHZuP1/dWMOlRqbNVGK4R8HuqanOiXKie22cOwu7zISJFhYmEflOqY0eSMFBmsDne7a6P5fF7EzCydVgWRgB+xtOJwjQlWpwdr9xxn/H51WhU2zi6if+tyiSDmcYZGf5/79VA0Wl1ocnrgbpkzg22oKDMFWyuqsfnOIjz36cmwcSwcq4XLE8gY6auUwWxzQyEXIa9PEjKU4U42EJjzQyPZ1P1Ep1XhyemFxMkmEAiEq0TMjrZCoYj+JEKnI7jNVYWhHisnDaIjVQvHacOiVkAgUgU/sHJSHpbuOko/Hlig98NvtxzAw7dcj5uv74VB6cm0I/3knmPIzVDgvMkGgYDH2uaHgoqaUy1OIqXoRaqfKzfUY+2Hx7Fy0iBMLswgdWOELo9UJAizxzK9JqxuGgiUgKzZcwxLbs3DgrED4IM/LPq8YKwW/z5+CTaXD6/+vhg8AEkyIT49Vksv9gdlKFjbEIXWif7mlW/CnkOlt7ONbe2Hx7FiUh74PB5rhgqh+6NOlGApRzR5/YzCdtdGC/k8zGvRG2HLvmiwOiOeW6bXYNV7R8PEyhhCgjWNEPP5bR5n72Qp7dReMNnxt//+yNi85vECr7O1ojosxZ4ax+TCDGh6yfHpsUs49FMjnqFbjrGjThSjOJs9bb2uyQklySwhEAiEq0bMjva2bds6chyEDkIhF2PNtAIs312FV748g3/cOwpLd1UBCOymh4orUZQb6rH0tjw6pS40Kr1s11FsmVuMBW8eZpw3u0XN/OszRk6l41O1Tdg4uwjCIMG8UCEzgLt+rvx0PQR8XpjAEoHQFbE43GH2wmWjFQYj/LxAP/nQBXXlORPmbz+ITbOLMH/7IWzeZ8AnD5bgt1sOMGo4h2Upo9pqJDjvH6frIeTziW32YKwuL2d7L6vL2+7aaFWCGOs/OsHocEH9/t/6tobR8z0Urt/vfoMRC27WYmhmChpt7a/hBtiFxbw+P/x+cI6jTKdBikyMqvNmPDm9IGrLsWC18ODrErVwAoFAuPoQdZoegNnuohciVseV3XS2SBbzPDdnVJrtfJfXB78/sgiLTqvCisl5mPHSVxjWUl9NwSZkZmFxvoNhc84JhK6IxR7eDimajTY7PKxq5Gznm2xuPPOrIYwaVCGfx2mrj08dhA+rLrI64tHGRmyzZxPt+2/vcYq7SvrTat8UlC5AskwUUZAtGl6/H4t2VuLd+0bHZZzAldTy4HrvRAn3Mszp8cHicOPJGbGnfBO1cAKBQOgctNnRfvvtt/HPf/4TNTU1cLmYyp+HDx+OcBbhWpAoEdGLEErEDLjSEivieVIB53G2869TynC5ycWo87xb3x8KuQhCAQ+NVje8Pj82zS4CjxeoGd9aOhy1FgerkFlyFBVxojJO6C4ks7RDiqeNWl0ezN9+iFGDqkwQsfbXpaKCXvhxY38VbhnUBxabG4lSIWotDix+5wgUUYTYiG32bJKkIlrcrygzJUxsLNrvI5bfT32zC2WvH2T97Za9fhAfPqDH+hmFWLariuFs67UqXKfkjgy7PT7ckK2ETMxtY639nYfWewfPyWxIhHwkSUWtrqsmauEEAoFw7WmTo71x40YsX74cpaWleO+99zBv3jz8+OOPOHjwIO6///54j5HQToLrtIPVSLlafJVo1UgUC/HWPSNhc/ngcHsZi6SirBS6pRaFTqvC0fMWDM1KQYlWhfKW3p9DZ6fguX//gP0GI0OMLVSA7abre0ERou8SPPZQiMo4oTuhTBCHRd84bTQnYKNb5xYDQUrkwaJnlI0G/3+/wQg+eHjzrpEQ8vn09UOj4hMLekPCvw5/3Xuc8fp6rQpv/2E0xAJexGghsU2CTMjHttJi/HjZyng8QyHFttJiJIoF7b63WxxuzowOs92NoVlKPN8iSmZxeJAsFUKZIIZUyI/4+jqtCnVNTjwzczDkcRgnRa3FgZ/qrZg9IgvzdBocrmlE1c9mer5kHYfFgbx00nCeQCAQuiJtcrRfeuklvPLKK5g9ezZef/11PPbYY+jfvz9WrVqFhoaGeI+R0E4UcjGenjkY/zl1GenJUkwZnI51e05wpozO0/fDT0YbXqs4E3Zsa+lw8ADMe/0g85yW1j9b5xZj5ZR8rP3gOIZkpTCc6ogCShGEZYLrzb4MUXwl9WaE7kTvZCnWzyjE8l1V9KJ7a0U1ts4tBp/HC1PdX3CzFpM2VTAcaypSHdz2LrQtFxDQYCjV9YOAF1lM6uFfDsTy3eFiVhUGI1bsrsLzvx6Kp24fjKW7qsLUmIltEgR8Hvx+4MOqi2G/rQfG5QBAu+/tsWY8BYuSBcP2+iVaNdZMz4dUKKDroeMxB10w2bH47e/DlMXv0vfH0MwUIKQNWkB1PAd9U6QxKbBTRGtDRiAQCISrR5sc7ZqaGoweHahbkslkaGpqAgD87ne/w6hRo7B58+b4jZAQF/wAPjpyEeWGejqd776bB0Am5mPdtAI4PT5cMNvh9weiaFU/m/FtdUPYInu/wQg+j4cyXT9sml3EKpTWYHPjtfIzuH/cACRJRYxoA5cATSRhGVJvRugpiAR83FaYgdKgNNhzjXasmZqPC2YHzHY30pIkOFXbhPkh7feoSPWeB/QAgIZmJzbNLgpry0Xh9Phw/KIFxy+YWcWkXG4fp5hVo9WF3PRkbCa2SWDB7fNjE4tiPvX32mkFyFS1797e3ownam65ZHHgfKMdQGD+m7SxAsOyUrB+RiGyVAntnoPMNhcWv30kosL5CE0qbuinxLJJeWhyeJAgFkAmFkAmEkQVPwumve3SCAQCgRBf2uRo9+nTBw0NDcjOzkZWVha++eYbDBkyBNXV1fD7/fEeI6Gd0C2yWnbLbS4vtlZUQ8jn4Za83jhTb0XvZCnKXr8ifLZlbjH+8tlp1uuVn65H6eh+EYXSJEI+Pj95GbNHZqPRdkUoRi4WQCTgrjmNJCxD6s0I3R2zzYXHWhbJwbWtiVIhHB4f5rx2AEDANpcFtd0LptxQD7vbC6fbB7lEiN9vOxjmYFNIhHw6q2XHgbMAQNfSjh6gingehcUREG8jtklgw86hOr7fYITdHfh9tef3E4+MJ4fHhzV7jrNmbizbFcjc6J0sbfU4gyPLMpGAtdc9cEVZfP72QxiXm4YmhxuJEgFUrYxER2qF2Zp2aYSeyblz52A0tl4w8IcffuiA0RAI3Ys2Odrjxo3D+++/j6KiIsybNw8PPfQQ3n77bRw6dAi33357vMdIaCcmmxulo/th9ogsSEUCVP1sQmFfBbZWVOOFz09DLhbgb7+9gXFONEXhSJRoVaj62UxfgxJjomqzBXwe1+lEQInQ46AW5A02F+bpNCjup0RhXwW2VFTT2R8v/3YY/fxotnnWaMOCNw+jJEeNraXDUfZ6uLNN1WzbXF4seecIXps7HM9/epKRbbLjrpGcr8Mm3kYgUETbqLE5uY/HSnujzY1WF2qMNry/UAehgI8meyDl2u314f43D6PR6opZiMxsc8FodcEPYHVQj+6X5gzjPM/p8UGnVeHfx2vxv5rGNpVecLXCbE0bMkLP4ty5cxiYmwe7zRr9yRFwuUiHCQIhEm1aKb3yyivw+QKLvfvvvx8qlQpfffUVpk6dinvvvTeuAyS0jwsmO1bsrsJ3NSY6QjZ2YBo2fn4KQ7OUuEvfH+kpUhibmcrx0dSOM1JkKMlRMyZ2nVaFBWNz4HB7IRcL6BRUnVaFoiwltu2vRlGWklPciQgoEXoSwameVBT7toI++PO/f6DTuT0+P7JTr6gERrNN6nj56XrAD6yYlMeIgJdo1Zin74eFOwI127NGZOHZT0+G2eRXZ4wRxc70WhUSoqgxE3o2yTLu5UW046HEUnvsBwDuvdwwHG4P3pg/Ait2Hw0T/Xtj/giYbS6Os69A2fKQzBRU1jQyrhXNZlNkIszTafDWtzV46vbB6KuUcz6fDdIKk9AWjEYj7DYrbrxrDZL6ZLXq3EvHDuDIrpfh8YS3piQQCAHa5GifP38emZmZ9N+zZs3CrFmz4Pf7ce7cOWRltc5YCR0DlUr2XY2JVvrevM+A10uHY9bIbGzbXw0AqKxoDHOAudSOdVoVLpntmFjQB6Wj+zHqOudvP4iirBSsnJSHOouDTk2ViQTYvM+AypaxAEzxpRKtGk9MzSc77oQeQ3CqZ7Aaf3GWkrbPzfsMWDhOC2OzM6ZuAcHq4kAglfzB8TnYMreYttNaiwNVP5vpiGMk3QTKdnkhIk16rQqrpuTDbHchEwnx/2AI3QKZSIASrZo1ZbpEq4ZMFPtGTaTa46dnDoYfaFddsipBgiW72EX/Vu4+ig0zCqNeI9iWS0f3C7OnaB0++qbIUF1vxcpJg3BdauudbIC0wiS0j6Q+WVBmXt+qcyyXznbQaAiE7kObHG2NRoOLFy8iLS2N8XhDQwM0Gg283vikhBHaB5VKtnCcFtv2V6OyxoSF47RIS5bgotmB+fr+UCeKsbWiOswBvrLIBiOiVaJVYa5OAx54EetE9xuMWDoxD4kSAV79fTGanR66NjtSz97UBOJgE3oWwamewWr8j04YiI17T9MR7QSxEHa3F4tvzcULn5/i7hYQoi4OAHVNTix48zDjsa2lw7FwnBZFmSlIELNPA5St/usPN+Ixvx9WpxfJMhEume2489Vv8I97boznx0HoZlhdHswvCSjaBzvbJVo15pdoYHXFFgXjqj3+z6nLtMhn6LFY65KbOWrJKwxGNEdJgQeYtuz2huvURLLZwHzaD5csDmzdX41NLc9pC6QVJoFAIHQ+2uRo+/1+8Hjh+VnNzc2QSmOrZSJ0PF6/H1vmFiNBLMTw7FQo5CI8G1KHWRLUEijUARbyeFg1JR/nG+1wuL2QCPnolSTBrFe+wXN3DOF8bZvLg6c+PkE76VvmFgcdC+97uuOukeivJtExQs8hONUzOKosEfJxZ1BEm0KnVeHRCbn4/SgXnF4fFt+aC5fHB5/fjyaHJ6K6OFvaarJUiO9rGrF5n4Fhm6HYXF54fX5cbnKi8pyJ7tNNFu6EaNicXvj9wMTCPijV9WNkVPj9sddoc9UepyVJIoqMhdYlR0o9t9jbn3JN2bJcLEAWS0Q6eIN5ycRcnGuwM+bTf917I56dORgOjw8XL1oC/b5lQijl4pjrw0krTEJXpK2CaiqVipFZ21Voq/Ac0HXfc0+nVY72ww8/DADg8XhYuXIl5PIrE4rX68WBAwcwdOjQuA6Q0DYumOxY+8ExWoxl4ThtWN0YAJQbjPAhEFHbvM8Q5gBvmVtMq4tTtdY2lzdqzZnH62dEwrlS5/RaFbJVcrIQIPQoglM9nR4fXaPN4/FYe80H/j6Joiwlw04/frAEf917OqZU8uDXK4+hTKQkR41jFyxY+m4V/RhZuBNiITVBjD9/firi73LdtIKYrsNVexxNGJBykrnaXiXL2p9yTdny/WMHQCrks6bM21xeVNY0AgBtvy/NGYYbspRIlYvg9Pqw9O2qsDpxqsVYLJBWmISugsNsBHg8zJo1q03ny+QJ+OHkiS7leLZXeK4rvmdCKx3tyspASqLf70dVVRXE4is3b7FYjCFDhuCRRx6J7wgJreZKO6/AhC0XC3Dz9b0i9q+m2ouEErxIL9GqMVfXj05LjVZz9tUZ5uMRU+dy1Ngwo7BN4i8EQlcmONVTLrpSoz0hvw9nW6RgWy3JUSNBLMDCsVr6OIVeq0IpSyp5iVaNr4PsM5ptJkmFGNEvlSzcCa3C6Y3ch32/wQinN7bOFly1x9E2fJOkoqhtr9bfXsgp+heLur46UYxb8tJwa346nv/3SfxpwkAAzJR5ttIOhUyEdTMKIBDw8cWpWpTpNJgzMhtSkQCHaxqxtaKa0WIsFki7PUJXwGVvBvx+FP12GXr1a11teNOlGnz92ioYjcYu5XS2R3iuq75nQisd7S+++AIAMG/ePPz1r39FcnJyhwyK0D6CU+0okSVzlPS4UEq0Kqyckg+TzYVb8/tAIuLjqY9O0GmpXHWiKybnYcZLXzGuF5w6t/y2PLg8PrJoJ/RoglM9vX4/HcVutHKrHFNRPJ1WhTXT8vFzgw0JMhEmF2bgofHXw2x3g8fjQZ0oxgufn2Kkkpew2GeobkKSNJCympYkoW2T2CihtTQ5uGuwox2n4Ko9rmtyRq1Ljtb2yubyYPXUfKx+/xjD2dZrVVg9tQDwhddch6KQi7F6aj4ef+8oZo3Mxsa9pzAkKwUPjs+h597Q0o4SrRpZqXJkpspRfbkZH1ZdDJtLqbKu1rQYIxC6Eglpma0WYevqtEV4jtB1aVON9rZt2+j/nz9/HgBw3XXXxWdEhHbTGNSOhBJZYotYB6OQifDmXSMhEvDR7PTgcE0jpr+4v6UW24VV7x3Fa3OHw+Xxo9xQTy/OV0zKw4pJg/CT0QqxIKA8ftHkYO2hStVmzxjaF4MyFPF+2wRCl4NK9bxocdCLbE+UhX1mqgxv/+FG/OfUZZytt0EhF2HWK9+gTK9BukKK65QyrNtzAt/VNKJMH4iQAUDfFBk+OXaJ1T6DdRP2PnwTBqQldsC7JfQkEiXcy4tox4NZPikPcxvt4PF4dKS3OFuJcdf3gm6ACst2VYU5yeumF0AhF+NMPXeaptnmwX1vfoenZw7G4om5aHZ4kSgVoM7ixKxXvsb/mz8SfWMYo8PtQ26Ggt4w23fyMr0hHVoKUqJVY+30AmSmymG2BeZX9lKRwBxuiXFTgkAgEAidizY52j6fD+vWrcPzzz+P5uZmAEBSUhL+9Kc/Yfny5eDzudO5CB2H2eaCK6hujRJZ4uxfrVVBLOTjP6cuozhLibLXD9LHqNS8+mYX7nw1sJgPFrapPGdChtmB+/7viqrxwnHaiK9FRJQIBCahzsDhmsaIbZF0WhU+PVZL2/WWucUQCngMR5mq9absNCNFhg+rLkLA4+GFz08T+yRcFeRiAWdKtjyGPuxstdUlOWp8tKgESnkgpXz5v45iaJYS84K6WFSeM2HtnuN47o4hUdteycUC1De7aC2SUGLtP222u8Ja5YVmiyTLRGhyeFBrdtDvv77ZRZd5hUKVisSSvk4gEAiEzkeb7t7Lly/Hli1b8NRTT0Gn0wEAKioqsHr1ajgcDjz55JNxHSQhduqbXfjqjJFeSFNpptTOOh9gTOq6lnZds175BjaXFy/NGcY4RtVoU9cLrfPWa1VhY9haUY2tpcMh4PGI+imBEAPBzsDWimrsWjAaa/Ycj9i+67k7htD2OUKTynCcg53ukhw11kzNxy8H9YbfH4ikRSr7IPZJiCdOr5czJdsVpQ1opNrq8tP1WPXeUVr06/MTdfj8RB3rNeqbXVHbXsmiOPyx9p+Wi4W4ZHGGPR5sj/83fwS2VpzB+hmFSGtJBecSe6NQkvaXBAKB0CVpk6O9fft2vPbaa5g6dSr92ODBg9G3b18sWLCAONrXkGanG0I+D0sm5qLO4kTvZCkWjtNia0U1Fu2sxFv3jEJpk5Ox8x9cN0ZFsKlF/ZJ3juC3o7Lp6wWn7hVlpWDVlHw89fEJxhiGZaWgr0JK1E8JhBihnIFDZwPp3h6fj+6jzWarCpmIdrqHZSlxl74/JhWmo3eyFE6PD1KRALVmO27op8SkTRUoykrBXfr+mKfvB3+FnxFlA4DrlDL0SZYS+yTEDT54uGRyYPmkPPjBQ5Pd3aLw7cclkx19UrhrjqPVVlOturhocrgxIC2Rs+2Vx+vjjLwnxBB5N7eUa6kSxNhaOpyeI0NLNJRyMZ66fTCuC2oBFi3ifp1SRuqzCQQCoYvSJke7oaEBubm5YY/n5uaioaGh3YOKxFNPPYWlS5fiwQcfxAsvvAAAcDgc+NOf/oS33noLTqcTEyZMwEsvvYTevXt32Dg6MwqZGAd/asALn5+mH9MHiar8+3gta5svIBD96psiw8cPluB/NSYseecInpo5GNv2VzOuV6JVY/f9Onx89CLufPUbzBqRRdeBKmQi/OfUZaxpSdsjtZ4EQnQUcjGenjkYZxts2LQvYGuVLX2uQynRquFwB1JSb8hWor7JAXWSBB9VXWQ4CyVaFW7olwrgSuR6hCYVQ7OUuO9mLXgAVIli4mATOgSZSACxiI/1H55gZFGVaNV44BdayETcDmwsTnQ0J5WKRnO1vfrpcjPWTi/Ayt1HWeq8C+GLopnAlt4eLGRGi5/lqKFOkoQ5zVwR95IcNfoQJ5tAIBC6LG1ytIcMGYLNmzdj48aNjMc3b96MIUOGxGVgoRw8eBB///vfMXjwYMbjDz30ED788EP861//gkKhwMKFC3H77bdj//79HTKOzozZ5sLK3UdRWWPCwnFaFGWmMKJb997UH3//7xlsnF0EHhC2qHhiaj68fj82fHQCgzIU2Fo6HM9+cpKl93Y9nvjgGIqylKhvdjGcgS1zi+m/65tdZAFPIMSA2eaCx+tD9eVmlOk0cHl9uDW/D46cN2Hdh1fU/gOlHv3wwM5KDMtKweop+eDzgFXvHQ2LyJUbjFj7wTGU6TXYvM9A13vO334Im/cZ8NlDY5DTO+lavF1CD8Dl9WHT3tNh9cflhnqAB6yZls95fixOtDpRjJIcNWvkuyREbyBS2ytlghg/Xm5iRN6TZCLw4EeD1YEBvSLbiNnmwn9/uIzS0f0we0QWoy0XUE3bnl6rwoYZhayR6eDuA6TUikDo3Jw7dw5GI7umQjR++OGHOI+G0BVok6P9zDPPYNKkSfj8889x4403AgC+/vprnDt3Dh999FFcBwgAzc3NmDNnDl599VWsW7eOftxsNmPLli3YsWMHxo0bByCgiJ6Xl4dvvvkGo0aNivtYOhtmm4tOoZOJBfiuppFWOQ12gHVaFdZNK8CN/VWQCgVYPbUA5xttsLm8SJGJ0CtJgs9PXEL5qXqUtyimFmWmRBVpCcUZJMQWq4gMgdDdCbbTZJkI6oQri/5LjTa4fX54fH7sCWnxU6JVYfcCHaqNVlynlMHr8+Oi2YHXfl+M9BQpfm6wg8/nRbTTcoMRpUF26grqXWx1EiVjQsfhcPsi/y5P18Ph5u6jHa22mnKi779ZC5/fH6ZncH9Lb/lY+MtnBlbxwZIcNTa36BmE8nOjDS6PD3uqLkRsy7X41lzoBqiQmSqHy+NDZU1jmP0D3BF3AoHQOTh37hwG5ubBbuPuZBANl4usjXsSbXK0NRoNTp06hRdffBEnT54EANx+++1YsGABPJ74L97uv/9+TJo0CePHj2c42t999x3cbjfGjx9PP5abm4usrCx8/fXXER1tp9MJp/OKaInFYon7mONBpMW52eaCye6G3e3Fzy0tT6p+NmGkRkW382JrFbLqvaMYkqVEZU0jHhibg3SFFC6vD1XnzbjrjUPYNLsI6z+6suMW7DSzwXacqvEGYheRIRAouoptRoLNZpudHpw12mCyuyEVCbD3ZB1OXrRgxW15gZN4wFc/GvFxiJMNBBzlJ/YEskcUMhEarC5IhHx8dcaIrRXV2DS7CE5n7HbaK1FC/5/YJ6G1tMY+m6O0pIp2PJZI7+naJpRtP0jrDQTrGZS9fhDv3a+j58xIG10B1W/2WvDyllpw6rlmmwsWqws+Pg/7DfWsNhvclsvl8SFTKcfSd6sYUfcxOWo8NXMwMlJkjPdLYXG4AV744wRCJLr63NkVMBqNsNusuPGuNUjqk9Xq8y8dO4Aju17uED+J0Hlps6N98eLFMNEzo9GIzMxMeKOoibaGt956C4cPH8bBgwfDjl26dAlisRgpKSmMx3v37o1Lly5FvOaGDRvwxBNPxG2MHUFo3ZdcLMATU/Mx+DoFLHYPPD4f9v9opAVXNswohEwkCGsvEgwV3dq8zwCJkI/HJ+fjZ5MD1ynl+Oe9N0LA40EuFsDm8kIuFiAtScJ6HYpgpxpgqpSTNkGEttAVbDMSbDb79h9uxJMfnaAX33KxACsn5WFyYTouW11Ikghhsrsw+LoULNt1lPW6VPaIVCiARMiH0+PDDVlKFM1OQe9kCaKUkDIEDsUt/yf2SWgLrbFPuYS7BjvacSAQ6X32jiFotLpgcXiQLBNCKRfTKdgmu5uh6h1Kk8PNWkMd7OjGUgsOBCLYNQ02SIR8SEUCDMmMbrMKmSjgZIc48l+erseSd45g0+wieiPgksWB8yy9wkMdcgKBja48d3Y1kvpkQZl5favPs1w62wGjIXR22uRo+/3sK7vm5mZIpfET7jh37hwefPBBfPbZZ3G97tKlS/Hwww/Tf1ssFmRmZsbt+u0ltK2JOlGM1+YOx/OfnsSjbx+hnxecopaukCJZKkR9c3h7kWBcXh/kYgHuHJmNFburmCI1OWpsnF1Ei6Cdqm2K2G9XH+RUU2OhVJBJbRmhrXR224wEm81uLR2ODSFONlXWsTRoga7XqrBwbE7U1zhx0Rx2XqlOg2MXzBHttESrRuU5E22fF80OYp+ENtMa+5SLBBH7wZdo1ZBHEUMD2IXGgp3kaIrgKTJxIJMrMwWlo/vRmiWHaxrx+HtH6T7bVO/5YF0TytlVyESoabBh6btHUFljarHhU7QAKBdCPi9itJxSTre6vFj89hHG84Ln9mCHnECIRFedOwmE7k6rHG3KiHk8HlatWgW5/EqLCq/XiwMHDmDo0KFxG9x3332Huro6DBt2pbez1+vFl19+ic2bN+PTTz+Fy+WCyWRiRLVra2vRp0+fiNeVSCSQSLijtdeS4LYm6kQxdt4zCmvePxZW7xacoqaQi/Dkh8fx4C3cu2zZqQm4f+wA1vTy8tP1gN+PN+8aifONdvRNkePRCbkATob1210/oxAurw/jc9OQIBFCLODDbHfhg4V6UltGaDOd3TYjEWqzO+4eBY/Xh1KdBrNHZkMqEsDv92NriN3JxQIMzVIiScp9K+6TLMUDOysZj1UYjOABGDUg4EQDzL7Yeq0Ka6bl46zRBgBYtLMS7943mizaCW2mNfYp4vOwcJwWgD9EdVyFheO0EPF5nOdH6qMdHA1OEAsjbjLptCq4/T7MGpHFqlkyT6eB0eqiN8U27TvNeE6JVoX3F+rg8fnwzZlAhFo0hg+hgIeiLCWkUTYK+ipltO1FfI92N1Z/cCzMGQ+e2zfvMxBhUUJUuurcSSB0d1rlaFdWBhZ6fr8fVVVVEIuv3PjFYjGGDBmCRx55JG6D+8UvfoGqqirGY/PmzUNubi4WL16MzMxMiEQi7N27FzNnzgQQUPWrqamhRdq6IlQqm1wswGtzh6PO4kS5wRhx1704SwmhgIfPT15GwXUpKNGqWEVodFoVvj/XiFvz0/HiFz+yvna5wYjzjXbM334IADAutxcW35qL+mYXHG4vJEI+tL0SGX1Ar5AQt8+AQOhKBKef/uWOofB6fTDZ3Aw71Q1QhTnZVIQbQOSodI4an52oDevJCwTs9bGJuZi37SBmjchCmU6DBIkQXp8fGSlS/H7LtzjXaAcQ2CBLV5BWXoSrg9Xjhc3lxcTCdJQG1U/XWhywubywerhLzGLpo61OFOOBcYFskFBBsgfG5YDnR0TNEgBYPSWgfP5iiyp/MOUGI57/9w9YcmseslQJMNvd4PF4+PanBhy/YMYvB/XmyCRRIVEkgDdC9h+FXCyI+B6DBUeJsCiBQCB0TVrlaH/xxRcAAs7uX//6VyQnJ3fIoCiSkpJQUFDAeCwhIQEqlYp+fP78+Xj44YeRmpqK5ORkPPDAA7jxxhu7tOI41dakTK/B85+exOyR2YxFeejO/JTB6TA2O7FwnBZDr0vBxII+WPfhibC+nlRq9w1ZSnqnnI1g8aR9Jy/D6fGhKEtJP3/3gtHIJk41gUBD2axcLECmSoblu4+GLfynDE6nNRAAMIQLqZRUgOkwlOSosXpKPqZsroj42nUWJ2aNyKLt81/33gjw/bjjb1+jvtkFgLQKIlx9/D7gtYozEaPNKycP4jw/ltrpAWmJyE6VY/LgDIYYWl2TE/1S5TDZ3ayvDwTszOvzRxRDk4sFuPcmLZbtrgqz5Xk6DV7+j4E146tEq8a6GQUw2px02UakDTR+lKg+NRcT4UICgUDomrSpRnvbtm3xHkeb+ctf/gI+n4+ZM2fC6XRiwoQJeOmll671sNoF1daEEjYr1Wk41cTX7TmBNdPzUVnTiM37DJCLBXjrnlF0TRqlwrpoZyVsLi/KDfUo1fWL+PqhImehrbzIpE8gMKFsdnBmClaGONnAFTsN3uAKFi60ubxYtLOSoZ7cT50APgJ1qmzR7GCKMlPo/zc5Pai1OLDz7lGwOj2kVRDhmuAHOJ3cKMHemPpoA0B6igy3FfRhtMYqzlZCIRfjgtnOeQ2bywsej922qI3uSNHwoiwlTFYXirKUtM1q1AmA34/fvnYAq6fmY2tFNesGmk6rwtppBfBF+RAkQj4RLiQQCIQuTJsc7WvJf/7zH8bfUqkUL774Il588cVrM6AOgGprcuJioD1D5TkTbuyv4lATr4fN6UVRlhKVNSbYXF6cb7RjwZuHW/3auhCRMwpqZ51M+gRCOJTN/lRv5bTT+24eQB8PbY8Xqp78xvwRUMpFSJQKUZKjZk0xpex1UHogu6hEq0atxYGbr++FdKJUTLiGNEfp0x6tj3usfbSBgP2xbSQpZNxzlUIW2Znn6uBBbT7b3FdstiRHjVWTB+F0nRVPTCuA3+/HqP6pYRtoVMRdKRfR74XtPeq0KtQ1OUkmCoFAIHRhupyj3VPISJHB5vJg4TgtirOUEAv4nM+3ODwYPUCFW/N747+nLiMzlXuRnZYsCUtpC04vD4XaWSeTPoEQjtnmgt3lhVDAnQoqEvKxYUYh0pIl6BWlfZ6Iz8Onx2qxtaIaex7QY+V74enolL1uml0EvVaFdTMKkCITERslXHOSpUJONe9oAoCx9NGORqzOOvWc4PHKxdzjo5xmIOBk33+zFtNe3E9nn+i0KqyanI+nPznBcNhDx8/2Hkty1Fg7rQBKObFlAoFA6MoQR7sTIxUK6HTwraXDOZ9rd3tx5LwJt+T1Rm6fZMDP4xRF23uijk55c3l96K9OwOGzjXR6eTAlWhX6qxOIWjGBwEJwC6Itc4s5n5sgESItWQIej4fLTU7O9nkJEiG2VlTD5vLCDz8mFaYzomJUOcgNWSlIV0jx9MzB6KtkEykkEK4+EiEfr88bDkNdM+PxDIUUr88bHlaixEZGigybZhcx0sJbUwYRq7P+1MzBePy9o/hNkEJ5NFtOkYmQmiDGxw+W4H81jSjbfpAxd+43GLFmzzGU6TR45JcD4fL4WMff3vdIIBAIhM4LcbQ7KWZbQKClTKfBnJHZ6JUoYTjO1M77sCwlJEI+UhPEUCemob7ZhcpzJrz1bQ02zS4CwOzjWaJVY36JBgvePMxYFLx7343Iy1DghixlWD/PuToNmhxuaHolXrX3TyB0BWotDvxUb8XsEVmYp9PA7/eHOc/qRDGenjkYfZKlaLK70TtZilqLAx98/zNWTc7Hmj3HwgTQ1kwrwIVGG8r0GmytqEZ9kwtpydKw9mAlWhVWTsmH3+8nTjahc+EHIhZi+1v+xUCktPBYoRxZo9UFr88Pr88Pm8sDm9sLsy3QNisjRYYnphVg8dvf0/bFJWSm16qQKBWCxwMEPB6jv30wVIq5RCjAoAxFh71HAoFAIHROiKPdSWm0ubHnyAV6kpeLBS077Dx8V9MYUYF8nk6D4xfMeGrmYDywsxIP33I9Hhyfg7omJzJTZTh63oyMFBlD/ThwfSFuf/krlOk1KNWFi6h9sFB/tT8CAqFTc8Fkx+K3v2dkjYzL7cVwntWJYrx516gwZ1qvVWHl5Hy8/J/TKNMF6jeTpSJYHG5UnjNh7Z5juHNkNo5fMGPj7CIkSgWY9/rBsFrPynMmTH9xP969b/S1+AgIhIj4AXj9wIdVF8NKHhaO1cbqZ8Nsc6G+2QWLw41kmQjqhNY7pQq5GFaXN6wv95gcNZ6aORgZKTI43V5G3/uqn02Yrw/vT1+iVeORCQPx9//+iPUzCnGm3hr19YmuCYFAIPRMiKPdiTDbXLjc7ITX54fH68e9YwbgLn1/fNdS0zZ/+yGsnJSHJ6bl4/H32JWNgYAa6rb91Zg1IgvLdh3FlrnFWPDmYbw0ZxiW7joKvVaFp2cOpntll2jVSJYFlFrZxF+IABqBcIVaiwONNhd+brRjnr4/buiXCh4PKMhQwOnxodHmxJqpBXD7/n97dx4XZdX/j/81M8wMwzIsM8iibDooCoi4IQLqbRZauWXdpt53oraYYotlVneKW5nZ9nG5685U+v4qbTE1TS2XFkUlF9xZRAkoQATZhmH28/sD54phhmGRnffz8fBRM9d1zZy5mPec61znnPcxQiTgW8ytBoATWSVYvf8q5tzN5j/vs7P4+pkRSM0r44aLm5bV256cjaXjgzHYz3pyphiFDG6OFJ+kYzEyYNPPlutTmx6vmhRq7TAztadlmNRuHJuUq7QoqtSgrFoHR5EAjmI7s1wF5SqtxesANetxv7rrEt6aGoaCcrXZPPL0/HIM6uWKYQHumBsdCAeRHVRaPVLzyrDhaCZWTgqFi4MIUnutzc/Qy01CvdWEENJNNTxJirSJ/LJqvPT1ReTeUWH1/mt4aOMJPLHtd8xJOoOLuaXYNLNmiZDXdl+BVm+0OvcaqLmIifB15f4L/J3d2DQn7kRWCXpIaxIxxShkeDmuHzQ6A96eNhCjguRmr0cJ0Aj5W25JFRZ/fQHjPzyOeZ+dxdykMzj3RymGB7hj6a5LuFZQgSqNAX+UVMFgZKjWGepd4sgUh6b4dBILkXp3tIqDSGAWy3eqtFj2cAhiFDKz14hRyPDW1DB4Su1b/bMT0hRqff3f/eSsEqj11pfVKldpcaNIifM5d5BTUoVwX1c4iATcdlPjuFxV08DNL6tGwpepuP+D3/DYx6fw4IYTeH33ZaQVVqKgrGZ5r2Kl1mrWftPr5dxRYeanKVjwxXnMvVvnvjKhP4oqNBAKeJj32Vm4Ogih0RsxIcQLiRND0Mu9ZqqGKeGaNaOC5PCi2CSEkG6LerQ7gHKVFku/vYQhAW7YfiIbJ+pcnBzPKgF4POx4agTuVGkbXDbFdOFeu4Fdd9kulcaAL56MhLO9HeYmncGnTwzFIA8nSspCSD1uVajx2u7LFo2H41nFMIJhW/wwrDuUjp2/52LdtIEwMgaVxvb610q1gYtPAf/v3j7TetumGFZpDdh4NBNvTxsIpVqPCrUeUns7uDmKqJFNOqSGvvvW1oa31oMdrZBhw4wIs0Sdv10vRrGypqH95v5riI8OwCsT+kGpNsDZ3g63KtT47GQ2xgZ7YnRfD5SqbPc6l1frzB4fzyrByn1X8VCYN8aHeCM1pww6gxELvjiPg8/Hmi0L1hLZ0QkhhHRN1NBuZ+UqLQoq1DieVYwX7g/Ch0euW93v+PVivDAuCAu/PI9vnomy+ZqmnmvTBXxRhdpi2S5niRAHLhdww1Sd7WsuHCgpCyGWblWocadKa7OHrlKtR0Zhpdmc7IYyF0vt7ZBdrMSc6EDk3FFxrzX37pByUyz3ljvizalhFJuk03CW2L68MC3vZZqDXV6thUZvRLivK87llHKN6ro3n0wq1TrwecBz4/rWmwOBwYCbt5UwNDAh3FoGdFMcrvj+KlZNCUFuSXVNEjSxnUUcUuZwQggh1tDQ8XaUX1aNl765iHJVzd10g9H2/gZjzcXGxT9rsqFaY+q5NjWwV08ORVgvF7PegBiFDAVl1dh0LAsqrYHmYBNig2m4eHYDSY/Kq3VYN22g2UW/KRatiVHI4Gxvh9tKDZ7bkQoB7+81uDV6IxfLo4Lk8Haxp4t20qnwUZP/w5pYhRwC3t1h3ztScd/7v+KRj05hxpYUs+kTJslZJZgQ4oV9CdHYlxCDF+8PgpO9HcCDRSMb+DsHgr2dHTb+nIVTN0sarDOt0eiNOJ5VjDtVWuiNRrw5NQy+7taz+7s4iNCnhxMG+bmhTw8nildCCCHU0G4vpuQsYb1cIL07DM1JbLsHwElshwhfV6z5IQ1zogMtLhxMWcfT88uRODEEdnwetHoDjqYXmTWyl08MwdJdlwDQ8DZCbKk9XLyhdX/Fdnz0kIrNLvq3nci2GqsxChlWTQ7FrE9T8MHh64jwczW72HeRCDEnOhAZBRUUn6RT4guAVVNCEFvnux+rkGH1lFCIBHyrCcqSs0qwPTkbc2MC4SASIGGsAltnD0WFWo/JvklLAABD00lEQVTbSi0u/1WGEYHuEPH5UOuMNnMgVN/dXl8cxgbJMSe6Zgk9a0wxX1SpQS83CfxljmbbTfPJU3NLceO2kps3TgghhAA0dLzV1bc0iSk5yytxwdzau3we6l2307RdozdCpTXguR2pmBsTiHkxvWEn4MHNQQi9gUEo4CHYxwVvH0zDzEh/vPtTJv7zYH9E9ZZDam8HqUQIjc6AT58YSsPbCGlAaa3h4rbW1Y1VyHH5r3JEic0v5GvH6tzoQDiL7eAsESK/rBr//N8pFCu1iL27Vr1pakdskBw+LvZgAN59LJzik3RK9nZ2WL73CsL93BBfZ0m61fuv4o2HBtSboCw5qwTzYnpj0AxXi2UsxwZ7IMK3H0qrdVDrDNgWPwzn767MUXfed8Xdudd149BUFl93B7x9MM3qfPHaPd0u9kK41onDxmZEJ4QQ0n1RQ7sV2aqIK9Q1FwA8HpBXWl2zzA8P3HI/ddcdNW033WFXaQ1Wl/r5PiGayzZuGi7+2oT+GB7o3lofk5Auq0L9d+LBbSeysWFGTfb/uvG5ZHw/VGv1Vkel1I7VfYuiYWQ1E0ZXTQ6F2I4PD2cxHv/kNDeNY920gfCmC3XSyVWq9TiWfhvH0m9b3b74AdvJ0uwEPPzv15tmseYgEmBmpD/WHEiziMG6CdMAcKPFAOt1ZlL8MMyM9IdGb94zHquQY3Z0AJ7bkYpYhQy+bhKzpIMNLRe2cUYE3SAjhBBCDe3W0lBFvOzhAQBqKn+xgI+rBeXoI3fEzpRcRPi5md11T80rw46UHLw6oX8DvWoy/HTtlsXFRKVaZ7EvIaRhUvu/fyJVWgNe3XUJ66YNxKsTgqFUG+DqIISdgAetruYiPj46EDEKmcXKAUDNcPEqjR5VGgO3hj0AfPNMFN59LBwBMgf0dKU1d0nXUFmtg4NIgLkxgYjwdTVbo3rbiewGs5K7OQgt6rm5MYHYnpxtdW1uPnj44slIlKp0OJ9birT8cjgIBfXWlzEKGc7eLUvtnm4XiRBqnQGLdqRiiL8b1kwJhW+dIeMNLRdWrNRSHBNCCKE52q2loYrYjs/DQ2FekErsIHMWwd1BhJwSFZaM74eLuWWY99lZLPjiPOZ9dhapuaWYEekPrcGAbSeykfAPhUWSmdggOebF9rY618yUUZwQ0jRujiJu7WoHkQBvTxuIbcnZmP6/00i+UYz8smrklqgg4PMxJMAdK76/Wu961ysmhcJbKsGK76+abXMQCbDgi/MQ2wno4px0GVIHITbMiEBqbilXn81NOsMlO5NK7Opdfzo2SA4h3/LyxLSuvDXHs4pRfreRHdVbhmfHKFCtN+A/D/a3miNh+cQQXMsv53q65312FjtScuDhLIbeyLDr2ZFYOyUUrhLL+rOigZvXdHObEEIIQD3araahiviPEhVeHR8Mg5GhrEqL/ZcLkJxVwvUAzB/TB3Z8HuwEPPyccRvP7UhF0pzh2PHUCJRWabF0fDCWgEGlNcCOz8PN20pc/LPMYq4ZZRQnpPk8pfZ4a2oYkrOKEdLTBesPpSM1twwbZkRYzB2NVciQOCkET352BismhWDp3V5vJ3sBnER2+PNONb48k4PJET2542IVctgJeBSnpMtxFArq7X3mAVg7NQxrpoTi9d2XzUaAxChkeHNKKHRGy2U4TOvKW+MgEsDb1R6pJ0rN4nJcsAfemhoGpVqPap0BGr0Rp26WYOaW03h8uB9m3R06burJnrI5GUP83PDW1FB8/NsNPBnbx+IGmLSBm9d0c5sQQghADe1WY60iNjWihwW4wVFkhz/LquHuKMLGn7O4ixHT3fVNx7IQrZBh6fhg7qJBam+HRz46aTVxCwB88WSk2WPKKE7IvblVoUaV1oAeUnvweDwczypBwliF1QbE8awSGAFMjuhpNjQcALbOHso9t3W2L4CaBsVrDwbjaj5lFiddj0pnsJkRXKUzYMPR65gTHcjdlHK2t8OtCjXeOZSOZRNDEBsk50aGOYgE6OEsrvf95sYEYs3+axbveST9NtT6y1g7NQx8Pg+Pfnyc21Z3mtXW2UMR4eeK2dEBWLHvKv41IgBn/rgDncEIpUbPJTSVO4kwKkiO36yMWqObZoR0bHl5eSgpsf7bZEtGRkYrlKbja+75AgCZTAZfX98WLlHnQg3tVlK3InYQCcx6wUyN7gfDvDEr0h/zYnpbZE41S84SJAePh3ob2QBgYAxbZw8FAPRyk8BLSmvvEtIc5SotSlU6LNtzGcfvxuF/Zw0GUDN8tfYFet15qH5319k1xXKsQoYezvZIGKvAthPZcBDZ4YsnI+HuKIKjUID7gntQnJIup6JaD7mTCOumDUQPqdisIb101yVUqPWYOrgXttW5aWVK/lml0eOdaQPxS+ZteEvt4e1qj/M5pfXOuY7qLbOaIBSoadjnllajvNr2SDNHsR0i/Ny4FQCejO2NvRf+wpJvL3H7mBKarps2EEt3XTJrbNPNbUI6try8PPQL7o9qVVWzX0Or7T5TQ+71fEkcHJGRntatG9vU0G4lLg4ivH23Ij6XU4qNMyKQdPeCom6j28Ra5tSaC3U5Vk4Kwa0Ktc33lDuKILYT0JJdhNyD/LJqJGcV4/sLf3GNbODvjP+1h682FMtfpuRgZqQ/pn9yChF+rtgwIwKujkLYC/hwd6Q4JV2Xs0SAL54cgVX7r5o1jGMUMnzx5AiAx/DhkUyrQ8sBYMXEEOgMRhy4lI9wPzeknijlpm3U3g+oiTcBj2ezPAI+D73cbGfzr9LouThOGKvAplqjzUxqZxbfOCMCxUotKtU6Wi6TkDbWnB7mjIwMVKuqEPXkKjh7+TXp2MKrKbi0+yPo9fqGd+4iSkpKmn2+KgtzcerT5SgpKaGGNmkdjiIBJoX7YNWkEKh1BsRHB2JGpD88pfbIKKxAam6Z2f6mCn1uTCBX2btIhIiPDoBSrUfyjRKb62xf/LMco/t6UEVPSDOVq7RYvvcKXhjXF4nfX0XCWAXXU+3qIMJbU0PhIBRw+zeUBTk+OgCL7t44M81NfefRcFpnl3R5jkI7vLr7skVsnMgqwer9V7F2ali9Q8uTs0qgNzKsuHt8fPTfdWLt9bCFdnwIeDyculkzFL2u2qNNwACdgeGtqaFY84Pl2tm1180GLEeu1GbKLN6nhxPVt4S0MXV5CcDj4fHHH2/2a4jdveHm27dJx1QU5jT7/VpKc4ev3+sQbmcvvyafL1KDGtqtqFipRX55NQorJPjvz1lmvWP1rfuZnFWCuXfX0o5VyKE3MCzakYpt8cPqXce39pqfB/3daA1PQpqppEqLf43wh1KtqyfhmRyvPRiMscEeOJZ+2+bF+PGsYsRHB5jF94msElTbmP5BSFeh1Nqeo61sIA6UGj1Sc8uQMFYBR5H5MnummDONKLl4t4Fc+0Z0faNNYhVyLmeCKTZNw9VNQ8YB24nXAMosTkh70VYrAcYQ8a/X4RHQtMZfZ+2VvtebCzSEu/1QQ7sVVah1+Ee/Hlh3KL3e4XG1e69NNHojYoPkWBLXD3OSfodKa4CDSACV1mB2N9+0zra7owizPk2BSmugNTwJuQdGxrD1+E2snByKjXuvWEl4VgwcSMOaqWHQ6a80eDFubTtdoJPuoKKB+dANxUHthnKEr6vVfUx14g+LYqDS6TFlUE+s3HcVx68X1zva5HhWMQCGnU+PgFpnBJ8HZN6qtLjpbZoqUh/KLE5I+3Ls4dspe6Wb415uLtAQ7vZFDe0WVq7SolipRYVaB4lIAL2B2RweZ+q9rs3XXYJwX1c8/slpqLQGRCtkcBAJuMa2tUyptS8Q6EKeEOtqx6cpg7DpplS5SgvGY1gyPhhag9HGer0lKFZqsPiBvrAT2J4Xau1inS7QSXcgtbL+dG3O9sJ6M3dHK2RwFAnwZUoOIvzc4OEsRqxCZjYqzGSwnyt2pf6FTcey8OL9QXgw1AtzogPhKRXbGG1SgvhKDSRCAbYlZ+Px4X6I8DNfo7uoQm2W9bw2yixOCGkPzbm5QNoXNbRbUH5ZNZbvvYJgb2nNvM5yIzyc6l+OBLDs8YpRyPDj1VvcBUK0QoaEfwQhNafUau933XllAF3IE2JNflk1lu66ZHbhPCpIjnVTw2BgDEqdAXZ8PtYfuoaF/wiy+VpFlRpI7YU4ddN23oS6sRlLF+ikm3ASCRCjkJmtkW0So5DBSSTA29MG4tU6mbtNw7irdXrMjPTH9uRsbtqUEbBIrBZfa8h3eC9XLPjiPDbMiEBlte2hoRq9Eb3cJHgiKgBJJ7MR4efGjRRzkQjhKRXD21UCIzO/WU6ZxQkhhDRWh29or127Ft999x3S09MhkUgwcuRIrFu3Dv369eP2UavVeOmll7Bz505oNBrExcXhv//9Lzw9PdusnLcq1Hhz/1UkjA3Cez+mcw3ib+dH2Tyudo9XbJAcr00IRlGFBv+dNRhiOz5uVaih1hmQuO8atjwx1CKzcd15ZXSnnRBL5Sotln576e6w0b9lF1dBYzTiP3uuIMLPDam5pUjOKsErE4Jtvp6rRAiV1oChfm6YONAba/anmb12rEKOBf9QYN5nZ7jnYhQyrJ0aRhfopFtQGwxInBiCVfuumvVExypkWD4xBGqDAUEyRy5zd6lKi/JqHVLzyvDcjlTseGqE2dDv2tOmAMDHVYIfLheYDfm2txNwQ8ZfbUQMS4QCrNl/DQ+EenFJD/3dHSC1t8O6Q+k4lnHb7D1p2UxCSGfV3Czt5N50+Ib2r7/+ioULF2LYsGHQ6/V4/fXX8cADD+DatWtwdHQEALz44ov44Ycf8M0338DFxQUJCQl45JFHkJyc3CZlLCirRplKi2fGKCzmY4vs+PX2eMUqZPB2scc386NgMDDw+TVzROXOYuTeUQEA8svVZhlS9y2Kxl+lavi6SXDpr3Kziwy6006IdYUVaotGNgBsnjUY7xxKx9zoQHi7SjDAW4p5Mb3BGGz2xvV0lWDWpynIK63mMhsvnRCMKo0eTvZ2EPB4KCxXY9PMwVDrDHCVCOEvc0BPN4e2+LiEtLsqtR6O9kI8GOaN+Fo5RYoq1ACvZjtQsxSmi4MI5SotFu1I5Xq37QQ8s3qz7rSpg8/HYtOxLMidRNg4IwLeLvbg83h4KMwbA7ylEAkE9Q43j1HI4OEsxsp9V/HuP8MxaVPNtUKsQo6FYxXo5SbBm1PDaOkuQkin1xJZ2rvT2uEtrcM3tA8dOmT2OCkpCT169MC5c+cwatQolJeXY+vWrfjyyy8xduxYAMD27dvRv39/nD59GiNGjGjV8pWrtPgl8zZCfKSoVP+dJdV0d1yrN2D5wyFYvf+q2UV7jEKGZRNDMHPLaQR7OWP1lFBk3lJCb2SQO4nx8jcXLZYfkTmJoNUZENTDCXInEXq5STA8wJ0uBAix4VaFGn+WVnOPay/5YzAYsWR8MN7YY574bGywB9ZMCcMbey6bxW303aGqq/Zdw6ezh2HfpXxsO1GT1fihMG94u9ijoFQFpc4IHo8Hqb0d/N0dKDZJt+PmKMZ/dl+u92bVm1PDzJ5zcRCZDSWv0jSclVzuJMIXT47AukNp3DDz2lnHt80eBoBnMdpk9dRQZN+uwqwRAXAS28FBJECEnytmRwdgbtIZ7EuIoaW7CCFdQnfM0t6RdPiGdl3l5eUAAHd3dwDAuXPnoNPpMG7cOG6f4OBg+Pn54dSpU1Yb2hqNBhqNhntcUVHR7PIUK7XwltrDUWwHvcGInU+PQKVaj/JqHeyFAsgcxVj9wzUM8nPDnFp39VPzyvD2wTQ8PtwPm45lIbtYhWf+v3MAaoaQ1136K1Yhg5uDCJ5Se7P3pwsB0pW0ZGyalFZpuf83ZTL+MqUm8+jEgd5Yvscyu/ix9Nvg4xrmRAdaxK0pLmdE+iE1t5R7vR8uF5j1uI0KktNSe6RLaUp8qrQGq41soGZ5L1PdVjdB4frHwlGl0UNtZV3s2pzEAmyaORjvHErDrEh/JNXJMK7SGjD3szNY9lB/vPZgf5RX6+BkL4Cj0A6PfnQSxcqa34VYhRx7FkTj4NW/h6FTQlHS2bRG3Um6lu6Upb0j6VQNbaPRiBdeeAHR0dEIDQ0FABQWFkIkEsHV1dVsX09PTxQWFlp9nbVr12LlypUtUialRoeebhKUVKrh4WyP1T9cwwAfl7s92gZU64w4ln4bx9JvWz1+VqQ/AJhdVBy/XgwjY1zys9ggOd6cEmrRyCakq2nJ2DSpUOuRmleGscEemBXpjx0pOfj3iAAUlFdDazBaHVoKAEfSi/D8/X3x49VCbDuRbTHCRKOvyUzOA/CfhwZg2kcnuW00jYN0RU2JT6VabzZ6RKM3wl4owPncUmw7kQ2lRl+ToLBO7oTYIDlWTw6Fk9jO6vQNB5EAyx7qDx6PBwGPhxfv7we9gVmNY5XWgNd2X+HWzY5RyDDIz41rZAM1y32t3H8VEX5uXIxTQlHS2bRG3UkIuXe2F4rsYBYuXIgrV65g586d9/Q6r732GsrLy7l/eXl5zX4tVwcRzv5xB1m3q/Duj+l4flxfXMwtxbzPzuLZz8/jj5Iqm8ebso7XXQYoOasEE0K88O38KKyeHAI/mWOzy0hIZ9GSsWkitbfD3tS/sPzhAZA5ijG8jzt83SU4eLkAeXeqbR6bd0fF9Vo7iARm20wxeyKrBHwesHdhNPYsGImji0fXzBl1ldxz2QnpSJoSn84SO2yaGYELd+vDBV+cx9ykM7iYW4pNMyPgbG+Hpd9etMidcPx6Mf6z5zKq9QYsezgEMQoZt81BJMDW2UNx4HIBxn94HI/97xQe3ngCJVWaum9vRqM3IlYhR3x0ILadyLbYnpxVwq3VTQlFSWfUGnUnIeTedZoe7YSEBOzfvx+//fYbevXqxT3v5eUFrVaLsrIys17tW7duwcvLy+pricViiMW2l91qjHKVFmqdAYP83AAAih7OUGn0CPdzw7ncMqi0Bqvr6JqV5W6ytLrLAAFAzh0Vdv6ei40zIu65rIR0Bi0Vm7W5O4qw5YkhqNYZ4CDiY3RQD+SUqDAnpjek9rZ/AsV2fG44au3l9erGbLX2798BQrqqpsSn2I6P7SeyLXqka3qeeVg1JaTe0STJWSVgRuD/jmZgTnQg/vNQMMQCO4AHJO69gnN1cqH0aGC0V6DcEUvG98Pjn5y2GJliotEbaSQK6bRao+4khNy7Dt/QZoxh0aJF2L17N3755RcEBgaabR8yZAiEQiGOHj2KadOmAahJR5+bm4uoKNtLa92LP++osOL7K5g5wh/b6lxMRCtk3Bzr1Lwym+vs3qpQWyzRZeIqEVKlT8g9KFdpodIasPHodTw1WoH3fkwzu7h/a2ooYhVyqxnJYxVyuDuKsC1+GM7nlmLo3Ya0tWX1aKgpIeY0eqNFg7j20HHTaK568YBpQ3zx7bk8vDCuH5Z9fwVzowNxLrcMG2ZEYHtyNnfjK2GswuYqAXxezQog9TWyAaC3hyPlVCCEENKiOnxDe+HChfjyyy+xd+9eODs7c/OuXVxcIJFI4OLignnz5mHx4sVwd3eHVCrFokWLEBUV1WoZx/8q/buRbe2Ofe0esG0nsrHhbo907cZ2bJAcqyaH4Gx2qVnSs9rb+/RwonnZhDRTflk1krOK8Uv6LbzwQD+s+v6qRQ/amh/SsHX2UADmczxjFDLMjg7ArE9ToNIaEK2QYcqgnkiKH4azuaUWy+rRUFNCzFWp9RYNYuDvG9FVmoaz2G5Pzsbc6ECs2n8VyVklmBXpz62TXbs+rV3P1l3d482pYVj05Xm8PW1gvTfVYhQyOIvtqJFNCCGkRXX4hvZHH30EABgzZozZ89u3b0d8fDwA4IMPPgCfz8e0adOg0WgQFxeH//73v61SnnKVFiVVWjwe6Q+xncDm0Le50YFQaQ14bkcq5sYE4tUJwci7U12zlmilBmqtAb4yBwzxd8Px639X/qbha9TIJqR5ylVaLN97BYvv74sgT2cUVWjqTZY077Oz2Pn0CMRXaqDRG+Hv7oCDVwvNGtPJWSVYue8qHgzztsgsTqNOCLHk6iDC+0cyLUZzmR6vmmRrNIkMjNXs++qEYO4YsR0fEb6uZjEIwKyeXTohGEUVGvi4SvDj1UKs3ncNa6aGIb9cjQX/6IO6N9ViFXLMjg7Aiu+v4t3HwimWCSGEtJgO39BmjDW4j729PTZv3ozNmze3enmKlVoIBXx8mZKDRWODsHX2UIshcaaLc9PQOJXWgNTcUgAwu0DYsyAajiIBJg70xhsP9Ue11kDrYRPSAkqqtPj3CH+I7PgoU2nA5/G4IeB1M4irtAb8WVqNBV+cR6xCjnA/ywt5oCZJ0/P3BeHLJyNhLxTARUKxSkh9dAaj1SlTQE0DWmcw4rUHg2E8kIbU3DIuOzkAeErtUamu6fFWqv+O1dS8Mm4fAFazmusNDIt2pGKInxvC/VxxJL0Ic2MC4efmgJmfnsa2+GHcTTUXiRBqnQGL7t5UK1ZqKZ4JIaQFZWRkNOs4mUwGX1/fFi5N2+vwDe2ORqnRQSwUYGakP97/KcPsznjtudm1E6FZm9MJ1FyIbDmejaUT+sPP3aFNPwchXRkDg4ezGCvrDBevG6MmpqSEKyaFYOKmE/W+bnm1DgO8pZRRnJAGKBsYGq7U6KHSGDA53AerJ4ci5WYJBDweXByEYAB4ALbHD4OHswgOIgFUWgO2ncjGV8/UTAlzEAmsDk2PVci5GI+PDgAAlFXr8NEvWXh8uB93U612vWz6LaD1swkhpGWoy0sAHg+PP/54s46XODgiIz2t0ze2qaHdRO4OQqh0RhRVqBEfHYgZkf5mvdlANubGBOJibhl8XCXYOnsoUvPKrM7Ddra3w1tTw+gOOiEtqKhCDSGfj+UHauZ11u31chAJsHFGBNeLFauQwcNZjIfDfFCp1tlMmOTn7kCNbEIawbmBjP7O9nZ4/bvL+GT2EKi1RnhK7SF3FuPSn2VY80MaF4exCjm3DrZKa8DRtCLEKmQI93OzmKsN1KyLbQTD3JhAs+Uzj2eVID46EB7O4nrrZUpqSAghLUNbrQQYQ8S/XodHQN8mHVtZmItTny5HSUkJNbS7G4MREAr4+OFygVkFX7unbOEYBe7v74mfrhXiTPYdq5lQY4Pk8Haxp0Y2IS0or6QKBRVq6A2Ma2Tb6vXa+XsuHh/uhw1Hr+O5+4LABw+xCpnV+dyjguTo4UzLpxDSGGIhH7FBcrP8IyaxQXJIhHx88sQQLNt9xeaok+NZxQAPWPZQf7y2+wo++e0mNsyIgEQosDrFA/g7R4rp9WovxXc1vwKvfXfZ4hhKakgIIS3PsYcv3Hyb1tDuSmwv8kzMlKu0MLCadTytJXjZnlzTm83n8yAS8DDY1w1rpoQhNkhutm9skBzvUAIlQlpUwR0VlBo9HEV2qLg7v9NahmKgptfrs+Q/kPjwAPRyk+C5+4JQWqXDX+XVWDk5FLEKmdn+lPSMkKZhRuC5+4Ks1n/P3RcEHnhYtueKxU2t2nWpyfHrxYjwd8O+RdHYOnsYvF3EEAoavnwxLZ9ZM9oM6OUmwZi+HhhVp0wU34QQQloD9Wg3QVGlBlqDsVGZxgHgmc/P4YPpg7BiYghUOj3y7lQjUO4Id0cRZRQnpAWVq7TQGBnWHEjDE1EBXM4DaxmKTY5nFaNCo0dhuRrzPjsLoKb3a3igO8L93PDKhGBodEa4OYgo6RkhTaTWG6BU6zEh1AvxIwOg0RshtuPjVoUaSrUeVfZ2DdaltZWpdNh07Do3QqxmWb769XSV4Ep+OTcMfVSQHF7SmlFkG2dEoFipRaVaRwlICSGEtBpqaDeBkTFUaeqfv2lyPrcUUb1lmBsTCDs+D0WVGpSqtNjxey7WPRJGjWxCWlhZtQ7L9lxGclYJlo4PhlDAQ7RCxs3RrI9KY+D2iVHIsCQuGDO2nIZKa0CEryuG+rvRBTghzcADD5+euGk183i0QoYX7rM9lLBu7Kp1Bix7OASr91/FiawSpOaVIVohs/r6sQoZDl0txIdHrgOw7LF2caCGNSGEkNZHDe1GKldpoTcw2PF5NvfrIRUjPb8cABDVW4ZTN0sQF+IJxoRYMyUUPm6UXZyQllatM+D43TnZYjs+9AYjlj88ACVKrc3jnO3tIBbyueRIpVVabkRKTzcJXYwT0kwMQGpuGRLGKsyW3zIlDnUQC2web1q1A6gZbp5fVo2Xv7mIddMGYumEYFRrDJgW0RPL95oPP49RyLB6ShhySlT4dn4UjUghhBDSbqih3UiFFWqUqrRwkQgRo5BZT3CmkCEtvwKvTOiPKZuTEaOQIy2/HDEKOZzt7VCu0gIyx3YoPSFdV35ZNcpVOi7x2Zr917hG96aZETYTMik1OvySWcwNL//vrME12xQyuNGFOSHNptLorSYiNCU7kwgF9fZI105gFq2Q4Y2HBiC/rBr9vJy5aR4AMCHUE8snhUBnYKio1sHZ3g6F5Wrklaiw9cRNbJwRQQ1sQggh7YaSoTVCuUqLYqUWLhIRPjiSifjoQETXSZYUq5BjxaRQAMDBKwVQaQ1gjOG1BwfAw1mEOUln4CimpUMIaUnlKi2W7roEyd0lvLYnZ3O9WyqtAQlfpmJOdIBFcrPYIHlN7gSNkUuUBNT0osUoZHhzKk3xIOReuDmKrCYiNCU7s+PzsOgfQVbqUhlWTgrB2H4eOPh8LB4O80ZBWTUWfnkeEX5u2Dp7KP47azC2zh6KPj2cMXlTMkqrtFBq9Hjs41PYlpyNP8urKbkZIYSQdkc92o1QUqWFu6MQeiPDsfTbOH3zDubGBGJudCCX4CU1rwxFlWq4O4mxYt81xAbJ0ctVAr2R4bH/ncYAbyktHUJIC7tTpUX8yAA4ie0wsrfMIvGZqbE9NyYQr0wIRlGFBl5SezjaC3DgcgE2Hbthtl5vb7kj3vvnIGpkE3KPtAaj1d5qoKaxXa0zQMAHHg7zNqtLiyrUKK3SooezGNM+PoVPZw9DWn4FIvysJzaMVcih1hnw3I5UDPF3w+rJoXBzEFIjmxBCSLujhnYjie0EyC+uAlBz8W6twh8e6I7ndqRisJ8rVk0OxXuHM9DL3REDvKV0d52QVsDj8bAtORupuWXYNnuY1X1M8RqjkKOoUoMgDyes2n8NR9KKuH1iFTK8OTUUfjS1g5AWUXl3ib36VKj16OEsRlaR0mKbp9QeGoMB/b2lmLnlNJ4Z3RuJdxOh1Z6PPSpIjlWTQ1FRrcW+hBiai00IIaRDoYZ2A8pVWqTcLMGBywWYE9Pb5r4yRxG+e3YktAYjNh7NxHN3s6o+FRNIlT8hLexWhRr/uZtpHAB0BtsZxp3t7SDgAX+WqRDsLcWM4X4AapKeuTnQknuEtCSpve3LC6m9HfLuVGOQnysYeKis1sFZIoSPqz1yS1TwdrPHumkD8equS/jg8HX879ebmBsTiGfHKCAW8uEqqZ3kjG6QEUII6Xiood2AYqUWPaT2OJ5VgvjowHoTK8UoZOCDB0eRAEIDH4kTQ6hxTUgrKq3Smg1N9XK1rzdRYbRChkt5ZRipkMNoZBgX3IPWzyWkFTkKBYhVyHE8y0oiQoUcjkIB3j31B/p5S7ms5EqNHql5ZcgoqMC7j4XTmteEEEI6NWpoN6BCrePW8xTweFg5KQTL9l4xu8CPVcjxclw//HtbCj6fF4lgb2l7FZeQbqOiztBUvZEhPjoQDKgTnzIsmxgCEZ8HfxoaTkibUOoMmBMTAICZDfeOVcgwJyYASp0BKyeH4tVdl8ymYtGa14QQQroKamg3QGovRKlKBwBQ6Qy4XalBhJ+bRSK0GVtOQ6U1WFz8E0Jah1Ri/vNVodLhuR2pVhMVTtmcjKQ5wxDg4dROpSWkeylX6bhEhPF14jHhy1QkzRmGYC8p9VgTQgjpsqih3QC5kwi3lRrEKGQQ2/HhIBZYTYRm0tC8NEJIy5Dam69p7ywR1puoEACc7Wl5PULairSR8Ug91oQQQroqWke7AS4OIrg7ChEfHYhbFWpUafSIqbPup0mMQgY3R7pgIKQtqHUGszXt9Qajzdh0kVBDm5C24iQS2IxHJ5GgjUtECCGEtC1qaDdClaZmjc7bSg3kTmKsmBRicQERo5DhralhlLmYkDZSXl0zVDzCzw1bZw9FiVKLNVPCrMbmm1PD4OMqaaeSEtL9VKi1WD0l1Go8rp4Shkq1tp1KRgghhLQNGufcCFL7miFwpiVGEsb2QeKkEOj0DJVqHaQSIdwdaXkgQtqSKS5rD031dZNg86zBeF3Ah/LunE8XiZAa2YS0MXuhEE9s/Z2LR9PyXXqDEU9sTUHSnOHtXURCCCGkVVFDuxHkTiKMCpLjt+vFUGkNeOdQJt45lAmgJkPqxhkRNMeMkDZWOy5N8kqrMWlTMsUlIe1M7iRCoNwRkzYlW2wbFSSH3IlikxBCSNdGQ8cbwcVBhLenDcSoILnZ83WXISGEtB2KS0I6LopPQggh3R31aDeSj6uEliEhpIOhuCSk46L4JIQQ0p11mYb25s2bsX79ehQWFiI8PBwbN27E8OEtOweMliEhpOOhuCSk46L4JIQQ0l11iaHjX331FRYvXozExEScP38e4eHhiIuLQ1FRUXsXjRBCCCGEEEJIN9MlGtrvv/8+nnrqKcyZMwcDBgzAxx9/DAcHB2zbtq29i0YIIYQQQgghpJvp9EPHtVotzp07h9dee417js/nY9y4cTh16lQ7lowQQgghhBBCSFvJy8tDSUlJs46VyWTw9fVtsbJ0+oZ2cXExDAYDPD09zZ739PREenq61WM0Gg00Gg33uKKiolXLSAhpHIpNQjouik9COiaKTdIVZWRkNPmYwsJCTH1kGtTVqma9p8TBERnpaS3W2O70De3mWLt2LVauXGnxPP0wEdJ6nJ2dwePxbO5DsUlI22tMbAIUn4S0h9asO5VKJQCgPP8PGPXGJpVLeTsfAFBZmIMSkZiO7aDv3RmPLb55GeDx8PjjjzfpuNr6xc2Gs4dPk45Rld7CtR+2IScnBy4uLg3u35jY5DHGWJNK0cFotVo4ODjg22+/xZQpU7jnZ8+ejbKyMuzdu9fimLp3/v766y8MGDCgLYpLSLdVXl4OqVRqcx+KTULaXmNiE6D4JKQ9UN1JSMfUmNjs9A1tAIiMjMTw4cOxceNGAIDRaISfnx8SEhLw6quvNni80WhEfn6+zTsTFRUV8PX1RV5eXqMuSLobOj+20flpfK9ZbXVjs6ucx67yOYCu81m6yucAmv5ZmhObQOPqzuaUh9hG57NldfTz2dy6MyMjAwMGDOiwn6uz6Ojfj86iK57HxsRmlxg6vnjxYsyePRtDhw7F8OHD8eGHH6Kqqgpz5sxp1PF8Ph+9evVq1L5SqbTLfEFaA50f2+j8NE19sdlVzmNX+RxA1/ksXeVzAK3/WZpSd7ZFebobOp8tqyudTz6fj549ewLoWp+rPdF5bBnd7Tx2iYb29OnTcfv2bSxfvhyFhYUYNGgQDh06ZJEgjRBCCCGEEEIIaW1doqENAAkJCUhISGjvYhBCCCGEEEII6eb47V2AzkIsFiMxMRFicdMzDXYHdH5so/PTMrrKeewqnwPoOp+lq3wOoON9lo5Wns6OzmfL6qrns6t+rrZG57FldNfz2CWSoRFCCCGEEEIIIR0F9WgTQgghhBBCCCEtiBrahBBCCCGEEEJIC6KGNiGEEEIIIYQQ0oKood1ImzdvRkBAAOzt7REZGYnff/+9vYvULn777TdMnDgRPj4+4PF42LNnj9l2xhiWL18Ob29vSCQSjBs3DtevX2+fwraxtWvXYtiwYXB2dkaPHj0wZcoUZGRkmO2jVquxcOFCyGQyODk5Ydq0abh161Y7lbjz6Wxx2JjvxJgxY8Dj8cz+zZ8/v51KbN2KFSssyhgcHMxt70zf64CAAIvPwuPxsHDhQgAd9+/REr+9d+7cwaxZsyCVSuHq6op58+ZBqVS2ark7W8x2JFTftpzuVj9T3DVNV6rj2lJnrZfaEjW0G+Grr77C4sWLkZiYiPPnzyM8PBxxcXEoKipq76K1uaqqKoSHh2Pz5s1Wt7/zzjvYsGEDPv74Y6SkpMDR0RFxcXFQq9VtXNK29+uvv2LhwoU4ffo0Dh8+DJ1OhwceeABVVVXcPi+++CL27duHb775Br/++ivy8/PxyCOPtGOpO4/OGIeN+U4AwFNPPYWCggLu3zvvvNNOJa5fSEiIWRlPnDjBbetM3+szZ86YfY7Dhw8DAB577DFun47492iJ395Zs2bh6tWrOHz4MPbv34/ffvsNTz/9dKuVuTPGbEdC9W3L6U71M8Vd83SVOq4tdcZ6qc0x0qDhw4ezhQsXco8NBgPz8fFha9eubcdStT8AbPfu3dxjo9HIvLy82Pr167nnysrKmFgsZjt27GiHEravoqIiBoD9+uuvjLGacyEUCtk333zD7ZOWlsYAsFOnTrVXMTuNrhCHdb8TjDE2evRo9vzzz7dfoRohMTGRhYeHW93W2b/Xzz//POvTpw8zGo2Msc7x92jOb++1a9cYAHbmzBlun4MHDzIej8f++uuvVilnV4jZjoLq25bVletnirum68p1XFvpLPVSW6Me7QZotVqcO3cO48aN457j8/kYN24cTp061Y4l63iys7NRWFhodq5cXFwQGRnZLc9VeXk5AMDd3R0AcO7cOeh0OrPzExwcDD8/v255fpqiq8Rh3e+EyRdffAG5XI7Q0FC89tprUKlU7VE8m65fvw4fHx/07t0bs2bNQm5uLoDO/b3WarX4/PPPMXfuXPB4PO75zvD3qK0xv72nTp2Cq6srhg4dyu0zbtw48Pl8pKSktHiZukrMdlRU396brlo/U9w1X1es49pTR6yX2oNdexegoysuLobBYICnp6fZ856enkhPT2+nUnVMhYWFAGD1XJm2dRdGoxEvvPACoqOjERoaCqDm/IhEIri6uprt2x3PT1N1hTi09p0AgJkzZ8Lf3x8+Pj64dOkSli5dioyMDHz33XftWFpzkZGRSEpKQr9+/VBQUICVK1ciNjYWV65c6dTf6z179qCsrAzx8fHcc53h71FXY357CwsL0aNHD7PtdnZ2cHd3b5W/U1eI2Y6M6tvm68r1M8Vd83TVOq49dcR6qT1QQ5uQVrBw4UJcuXLFbI4P6d7q+07UnosUFhYGb29v3Hfffbhx4wb69OnT1sW0asKECdz/Dxw4EJGRkfD398fXX38NiUTSjiW7N1u3bsWECRPg4+PDPdcZ/h6EkOaj+pnU1VXrONL+aOh4A+RyOQQCgUV2wVu3bsHLy6udStUxmc5Hdz9XCQkJ2L9/P37++Wf06tWLe97LywtarRZlZWVm+3e389McnT0O6/tOWBMZGQkAyMrKaouiNYurqyv69u2LrKysTvu9zsnJwZEjR/Dkk0/a3K8z/D0a89vr5eVlkQxJr9fjzp07rfJ36uwx29FRfds8Xb1+prhrGV2hjmtvHbFeag/U0G6ASCTCkCFDcPToUe45o9GIo0ePIioqqh1L1vEEBgbCy8vL7FxVVFQgJSWlW5wrxhgSEhKwe/duHDt2DIGBgWbbhwwZAqFQaHZ+MjIykJub2y3Oz73orHHY0HfCmgsXLgAAvL29W7l0zadUKnHjxg14e3t32u/19u3b0aNHDzz00EM29+sMf4/G/PZGRUWhrKwM586d4/Y5duwYjEYjdzOhJXXWmO0sunt921TdpX6muGsZXaGOa28dsV5qF+2cjK1T2LlzJxOLxSwpKYldu3aNPf3008zV1ZUVFha2d9HaXGVlJUtNTWWpqakMAHv//fdZamoqy8nJYYwx9vbbbzNXV1e2d+9edunSJTZ58mQWGBjIqqur27nkre/ZZ59lLi4u7JdffmEFBQXcP5VKxe0zf/585ufnx44dO8bOnj3LoqKiWFRUVDuWuvPojHHY0HciKyuLrVq1ip09e5ZlZ2ezvXv3st69e7NRo0a1c8nNvfTSS+yXX35h2dnZLDk5mY0bN47J5XJWVFTEGOt832uDwcD8/PzY0qVLzZ7vyH+PlvjtHT9+PIuIiGApKSnsxIkTLCgoiM2YMaPVytwZY7Yjofq25XSn+pnirum6Wh3XVjpjvdTWqKHdSBs3bmR+fn5MJBKx4cOHs9OnT7d3kdrFzz//zABY/Js9ezZjrCad/7Jly5inpycTi8XsvvvuYxkZGe1b6DZi7bwAYNu3b+f2qa6uZgsWLGBubm7MwcGBTZ06lRUUFLRfoTuZzhaHDX0ncnNz2ahRo5i7uzsTi8VMoVCwJUuWsPLy8vYteB3Tp09n3t7eTCQSsZ49e7Lp06ezrKwsbntn+17/+OOPDIDFb1NH/nu0xG9vSUkJmzFjBnNycmJSqZTNmTOHVVZWtmq5O1vMdiRU37ac7lY/U9w1TVer49pKZ62X2hKPMcZaqbOcEEIIIYQQQgjpdmiONiGEEEIIIYQQ0oKooU0IIYQQQgghhLQgamgTQgghhBBCCCEtiBrahBBCCCGEEEJIC6KGNiGEEEIIIYQQ0oKooU0IIYQQQgghhLQgamgTQgghhBBCCCEtiBrahBBCCCGEEEJIC6KGNmmSFStWYNCgQa36HmPGjMELL7zAPQ4ICMCHH37Yqu9JSEfGGMPTTz8Nd3d38Hg8XLhwob2LRAhpgl9++QU8Hg9lZWXtXRRCSAuKj4/HlClT2rsYpIOihjYBYNm4rc/LL7+Mo0ePtn6Bajlz5gyefvrpRu1LjXLSFR06dAhJSUnYv38/CgoKEBoa2t5F6pR4PB727NnT3sUg3UDdOnXkyJEoKCiAi4tL+xWqA0lKSoKrq2t7F4N0UY29pr3XY7obuqnQdHbtXQDSOTDGYDAY4OTkBCcnpzZ9bw8PjzZ9P0I6mhs3bsDb2xsjR45s9mvodDoIhcIWLBUhpLFEIhG8vLzauxiEEELaEiPd3uzZsxkAs3/bt29nANiBAwfY4MGDmVAoZD///DNLTExk4eHhZsdOnjyZrVixgsnlcubs7MyeeeYZptFoGvXeSqWS/fvf/2aOjo7My8uLvfvuu2z06NHs+eef5/bx9/dnH3zwAWOMMaPRyBITE5mvry8TiUTM29ubLVq0iDHG2OjRoy0+B2OMFRcXs8cff5z5+PgwiUTCQkND2ZdffmlWjtGjR7NFixaxJUuWMDc3N+bp6ckSExPN9iktLWVPP/0069GjBxOLxSwkJITt27eP2378+HEWExPD7O3tWa9evdiiRYuYUqls5F+BEOvqxqe/vz87ePAgi46OZi4uLszd3Z099NBDLCsrizsmOzubAWA7d+5ko0aNYmKxmG3fvp0xxtiWLVtYcHAwE4vFrF+/fmzz5s2NLssrr7zCgoKCmEQiYYGBgeyNN95gWq2W2276fdi6dSvz9fVljo6O7Nlnn2V6vZ6tW7eOeXp6Mg8PD7ZmzRqz183JyWGTJk1ijo6OzNnZmT322GOssLDQ7BxMnjzZ7Jjnn3+ejR49mnvcUAz7+/tbnEdCWoOtOrW0tJQxxtj27duZi4sL2717N1MoFEwsFrMHHniA5ebmNuo9srKy2KRJk1iPHj2Yo6MjGzp0KDt8+LDZPv7+/mz16tVcHevn58f27t3LioqKuHgLCwtjZ86cMTvu22+/ZQMGDGAikYj5+/uzd99912w7ALZ7926z51xcXLjfGNPvz65du9iYMWOYRCJhAwcOZCdPnmSMMfbzzz9bnJ+69S0hzWUt/rKzs9kvv/zChg0bxkQiEfPy8mJLly5lOp3O5jF6vZ7NnTuXBQQEMHt7e9a3b1/24YcfWrxf3fqpPo2tu7/66ivuenLo0KEsIyOD/f7772zIkCHM0dGRjR8/nhUVFXHHGQwGtnLlStazZ08mEolYeHg4O3jwILfdFHOm3x/GGEtNTeU+J2N//yYdOnSIBQcHM0dHRxYXF8fy8/MZYzX1e91z9PPPPzfhL9M9UUObsLKyMhYVFcWeeuopVlBQwAoKCtiRI0cYADZw4ED2008/saysLFZSUmK1oe3k5MSmT5/Orly5wvbv3888PDzY66+/3qj3fvbZZ5mfnx87cuQIu3TpEnv44YeZs7NzvQ3tb775hkmlUnbgwAGWk5PDUlJS2CeffMIYY6ykpIT16tWLrVq1ivscjDH2559/svXr17PU1FR248YNtmHDBiYQCFhKSgr3HqNHj2ZSqZStWLGCZWZmss8++4zxeDz2008/McZqfsRGjBjBQkJC2E8//cRu3LjB9u3bxw4cOMAYq7nocXR0ZB988AHLzMxkycnJLCIigsXHxzf3z0IIY6wmPletWsV69erFCgoKWFFREfv222/Zrl272PXr11lqaiqbOHEiCwsLYwaDgTH2d2UdEBDAdu3axW7evMny8/PZ559/zry9vbnndu3axdzd3VlSUlKjyrJ69WqWnJzMsrOz2ffff888PT3ZunXruO2JiYnMycmJPfroo+zq1avs+++/ZyKRiMXFxbFFixax9PR0tm3bNgaAnT59mjFWE1uDBg1iMTEx7OzZs+z06dNsyJAhZo3oxja0bcVwUVER1+AxnUdCWoOtOrV2Q1soFLKhQ4eykydPsrNnz7Lhw4ezkSNHNuo9Lly4wD7++GN2+fJllpmZyd544w1mb2/PcnJyuH38/f2Zu7s7+/jjj1lmZiZ79tlnmVQqZePHj2dff/01y8jIYFOmTGH9+/dnRqORMcbY2bNnGZ/PZ6tWrWIZGRls+/btTCKRcI1oxhrf0A4ODmb79+9nGRkZ7NFHH2X+/v5Mp9MxjUbDPvzwQyaVSrnzU1lZ2ezzTUht1uLvzz//ZA4ODmzBggUsLS2N7d69m8nlcu4Gj7Vj9Ho902q1bPny5ezMmTPs5s2b7PPPP2cODg7sq6++4t6vKQ3txtbdwcHB7NChQ+zatWtsxIgRbMiQIWzMmDHsxIkT7Pz580yhULD58+dzr/v+++8zqVTKduzYwdLT09krr7zChEIhy8zMZIw1vqEtFArZuHHj2JkzZ9i5c+dY//792cyZMxljjFVWVrJ//vOfbPz48dw5amynWndGDW3CGGMWvcimoNyzZ4/ZftYa2u7u7qyqqop77qOPPmJOTk7cD0d9KisrmUgkYl9//TX3XElJCZNIJPU2tN977z3Wt29fs1602mrva8tDDz3EXnrpJe7x6NGjWUxMjNk+w4YNY0uXLmWMMfbjjz8yPp/PMjIyrL7evHnz2NNPP2323PHjxxmfz2fV1dUNlocQWz744AObPbC3b99mANjly5cZY39X1nXvvPfp08diNMfq1atZVFRUs8q1fv16NmTIEO5xYmIic3BwYBUVFdxzcXFxLCAgwOz3oF+/fmzt2rWMMcZ++uknJhAIzHryrl69ygCw33//nTHW+Ia2rRhmzHoDgZDWUF+dWruhXfuGE2OMpaWlMQBmN4GbIiQkhG3cuJF77O/vz/71r39xjwsKChgAtmzZMu65U6dOMQDcjemZM2ey+++/3+x1lyxZwgYMGMA9bmxD+9NPP+W2m2I6LS2N+/wuLi7N+pyENKRu/L3++uusX79+3A0lxhjbvHmz2bVq3WPqs3DhQjZt2jTucVMa2nXVV3fXjp0dO3YwAOzo0aPcc2vXrmX9+vXjHvv4+LA333zT7LWHDRvGFixYwBhrfEMbgFkP++bNm5mnp2eLfNbuipKhEZuGDh3a4D7h4eFwcHDgHkdFRUGpVCIvL8/mcTdu3IBWq0VkZCT3nLu7O/r161fvMY899hiqq6vRu3dvPPXUU9i9ezf0er3N9zEYDFi9ejXCwsLg7u4OJycn/Pjjj8jNzTXbb+DAgWaPvb29UVRUBAC4cOECevXqhb59+1p9j4sXLyIpKYmbw+7k5IS4uDgYjUZkZ2fbLB8hTXX9+nXMmDEDvXv3hlQqRUBAAABYfKdrx29VVRVu3LiBefPmmX1P16xZgxs3bjTqfb/66itER0fDy8sLTk5OeOONNyzeMyAgAM7OztxjT09PDBgwAHw+3+w5U2ylpaXB19cXvr6+3PYBAwbA1dUVaWlpjTshd9mKYUI6Gjs7OwwbNox7HBwc3OjvvVKpxMsvv4z+/fvD1dUVTk5OSEtLs1mveXp6AgDCwsIsnqsdj9HR0WavER0djevXr8NgMDTp89V+b29vb7P3IaQtpaWlISoqCjwej3suOjoaSqUSf/75p81jN2/ejCFDhsDDwwNOTk745JNPLOKssRpbdzcmbk2xVFFRgfz8fKtx29Q61MHBAX369OEeUx167ygZGrHJ0dGxvYtgxtfXFxkZGThy5AgOHz6MBQsWYP369fj111/rTfS0fv16/N///R8+/PBDhIWFwdHRES+88AK0Wq3ZfnWP5/F4MBqNAACJRGKzXEqlEs888wyee+45i21+fn5N+YiENGjixInw9/fHli1b4OPjA6PRiNDQUIvvdO34VSqVAIAtW7aY3dwCAIFA0OB7njp1CrNmzcLKlSsRFxcHFxcX7Ny5E++9957ZftbiyFZsNQafzwdjzOw5nU5nsd+9vg8hncXLL7+Mw4cP491334VCoYBEIsGjjz5qs14zNTKsPdeUOOHxeE2Ox+a8DyHtbefOnXj55Zfx3nvvISoqCs7Ozli/fj1SUlKa9XqNrbsbE7dNrUMBmMVtY+vQurFOmoYa2gRATUbUpt6tNrl48SKqq6u5xujp06fh5ORk1kNlTZ8+fSAUCpGSksI1RktLS5GZmYnRo0fXe5xEIsHEiRMxceJELFy4EMHBwbh8+TIGDx5s9XMkJydj8uTJ+Ne//gWgpqLPzMzEgAEDGv0ZBw4ciD///BOZmZlWe7UHDx6Ma9euQaFQNPo1CWmOkpISZGRkYMuWLYiNjQUAnDhxosHjPD094ePjg5s3b2LWrFlNft+TJ0/C398f//nPf7jncnJymvw6dfXv3x95eXnIy8vjfjOuXbuGsrIyLkY9PDxw5coVs+MuXLjQ5CzqQqGw2b9zhDRFY+pUvV6Ps2fPYvjw4QCAjIwMlJWVoX///g2+fnJyMuLj4zF16lQANTfS/vjjj3sud//+/ZGcnGzxXn379uVuyHl4eKCgoIDbfv36dahUqia9z71ccxDSkLrfr/79+2PXrl1gjHEN1+TkZDg7O6NXr15WjzHtM3LkSCxYsIB7rrEjwOpqbt3dEKlUCh8fHyQnJ5tdOycnJ3O/LabVewoKCuDm5gagpg5tKorbpqOh4wRAzXDPlJQU/PHHHyguLm7SnTKtVot58+bh2rVrOHDgABITE5GQkGA2VNQaJycnzJs3D0uWLMGxY8dw5coVxMfH2zwuKSkJW7duxZUrV3Dz5k18/vnnkEgk8Pf35z7Hb7/9hr/++gvFxcUAgKCgIBw+fBgnT55EWloannnmGdy6davRnw8ARo8ejVGjRmHatGk4fPgwsrOzcfDgQRw6dAgAsHTpUpw8eRIJCQm4cOECrl+/jr179yIhIaFJ70NIQ9zc3CCTyfDJJ58gKysLx44dw+LFixt17MqVK7F27Vps2LABmZmZuHz5MrZv347333+/wWODgoKQm5uLnTt34saNG9iwYQN27959rx8H48aNQ1hYGGbNmoXz58/j999/xxNPPIHRo0dzQ9/Hjh2Ls2fP4v/9v/+H69evIzEx0aLh3RgBAQE4evQoCgsLUVpaes9lJ6Q+jalThUIhFi1ahJSUFJw7dw7x8fEYMWIEd3FsS1BQEL777jtcuHABFy9exMyZM1ukt/ill17C0aNHsXr1amRmZuKzzz7Dpk2b8PLLL3P7jB07Fps2bUJqairOnj2L+fPnN/mmV0BAAJRKJY4ePYri4uImN9QJsaVu/C1YsAB5eXlYtGgR0tPTsXfvXiQmJmLx4sXcNae1mA0KCsLZs2fx448/IjMzE8uWLcOZM2eaVaZ7qbsbsmTJEqxbtw5fffUVMjIy8Oqrr+LChQt4/vnnAQAKhQK+vr5YsWIFrl+/jh9++MFiNFpjBAQE4NKlS8jIyEBxcbHVXnFijhraBEDNMDSBQIABAwbAw8OjSfNP7rvvPgQFBWHUqFGYPn06Jk2ahBUrVjTq2PXr1yM2NhYTJ07EuHHjEBMTgyFDhtS7v6urK7Zs2YLo6GgMHDgQR44cwb59+yCTyQAAq1atwh9//IE+ffpwd/DeeOMNDB48GHFxcRgzZgy8vLwwZcqURn8+k127dmHYsGGYMWMGBgwYgFdeeYW7szdw4ED8+uuvyMzMRGxsLCIiIrB8+XL4+Pg0+X0IsYXP52Pnzp04d+4cQkND8eKLL2L9+vWNOvbJJ5/Ep59+iu3btyMsLAyjR49GUlISAgMDGzx20qRJePHFF5GQkIBBgwbh5MmTWLZs2b1+HPB4POzduxdubm4YNWoUxo0bh969e+Orr77i9omLi8OyZcvwyiuvYNiwYaisrMQTTzzR5Pd67733cPjwYfj6+iIiIuKey05IfRpTpzo4OGDp0qWYOXMmoqOj4eTkZPa9t+X999+Hm5sbRo4ciYkTJyIuLg6DBw++53IPHjwYX3/9NXbu3InQ0FAsX74cq1atQnx8PLfPe++9B19fX8TGxmLmzJl4+eWXzfK0NMbIkSMxf/58TJ8+HR4eHnjnnXfuueyEmNSNP51OhwMHDuD3339HeHg45s+fj3nz5uGNN96o95jc3Fw888wzeOSRRzB9+nRERkaipKTErHe7Ke6l7m7Ic889h8WLF+Oll15CWFgYDh06hO+//x5BQUEAam7q7dixA+np6Rg4cCDWrVuHNWvWNPl9nnrqKfTr1w9Dhw6Fh4eHxegXYonHaPA9uQfx8fEoKyvDnj172rsohBBCSKeQlJSEF154AWVlZe1dFEIIIa2EerQJIYQQQgghhJAWRA1t0mpyc3PNlhGq+6+5yyMQQlreW2+9VW+sTpgwob2LR0i3EhISUm88fvHFF+1dPEJIHXTNS6yhoeOk1ej1eptZUAMCAmBnR4nvCekI7ty5gzt37ljdJpFI0LNnzzYuESHdV05OTr2Jhjw9Pc3WqieEtD+65iXWUEObEEIIIYQQQghpQTR0nBBCCCGEEEIIaUHU0CaEEEIIIYQQQloQNbQJIYQQQgghhJAWRA1tQgghhBBCCCGkBVFDmxBCCCGEEEIIaUHU0CaEEEIIIYQQQloQNbQJIYQQQgghhJAWRA1tQgghhBBCCCGkBf3//MDHgmbQ7g4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pairplot for numerical variables\n",
    "sns.pairplot(yellow_taxi_data[['trip_distance', 'fare_amount', 'tip_amount', 'total_amount']])\n",
    "sns.pairplot(green_taxi_data[['trip_distance', 'fare_amount', 'tip_amount', 'total_amount']])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c45d34a7-955c-422c-bce7-ec1d0d77bf85",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of trip distances\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.histplot(data=yellow_taxi_data, x='trip_distance', bins=100, kde=True, color='yellow', label='Yellow Taxi')\n",
    "sns.histplot(data=green_taxi_data, x='trip_distance', bins=100, kde=True, color='green', label='Green Taxi')\n",
    "plt.xlabel('Trip Distance (miles)')\n",
    "plt.ylabel('Frequency')\n",
    "plt.legend()\n",
    "plt.title('Distribution of Trip Distances')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6905be3b-68b8-48aa-b8d5-4d1f6f6f44ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of fare amounts\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.histplot(data=yellow_taxi_data, x='fare_amount', bins=100, kde=True, color='yellow', label='Yellow Taxi')\n",
    "sns.histplot(data=green_taxi_data, x='fare_amount', bins=100, kde=True, color='green', label='Green Taxi')\n",
    "plt.xlabel('Fare Amount')\n",
    "plt.ylabel('Frequency')\n",
    "plt.legend()\n",
    "plt.title('Distribution of Fare Amounts')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f8cbc580-b450-4bf9-b58e-dcbd55f4a2ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  grouped_vals = vals.groupby(grouper)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Boxplot of tip amounts by payment type\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.boxplot(data=yellow_taxi_data, x='payment_type', y='tip_amount', palette='YlGnBu')\n",
    "plt.xlabel('Payment Type')\n",
    "plt.ylabel('Tip Amount')\n",
    "plt.title('Tip Amounts by Payment Type (Yellow Taxi)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9b1d8ba6-ab55-4905-9f9a-6136f320cdd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Correlation heatmap\n",
    "plt.figure(figsize=(10, 6))\n",
    "correlation_matrix_yellow = yellow_taxi_data[['trip_distance', 'fare_amount', 'tip_amount', 'total_amount']].corr()\n",
    "correlation_matrix_green = green_taxi_data[['trip_distance', 'fare_amount', 'tip_amount', 'total_amount']].corr()\n",
    "sns.heatmap(correlation_matrix_yellow, annot=True, cmap='coolwarm', square=True, linewidths=0.5)\n",
    "plt.title('Correlation Heatmap (Yellow Taxi)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d425ca5d-5c5b-49e0-9351-d4d7afc94b57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(correlation_matrix_green, annot=True, cmap='coolwarm', square=True, linewidths=0.5)\n",
    "plt.title('Correlation Heatmap (Green Taxi)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "374bdc9a-0edb-4707-a57c-3eb8381e42e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hypothesis 1 - Trip Distance:\n",
      "T-Statistic: -23.8201\n",
      "P-Value: 0.0000\n"
     ]
    }
   ],
   "source": [
    "# Hypothesis 1: Trip Distance\n",
    "# Null Hypothesis (H0): There is no significant difference in trip distances between yellow and green taxis.\n",
    "# Alternate Hypothesis (H1): There is a significant difference in trip distances between yellow and green taxis.\n",
    "\n",
    "t_statistic, p_value = stats.ttest_ind(yellow_taxi_data['trip_distance'], green_taxi_data['trip_distance'])\n",
    "print(f'Hypothesis 1 - Trip Distance:')\n",
    "print(f'T-Statistic: {t_statistic:.4f}')\n",
    "print(f'P-Value: {p_value:.4f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3a3c031d-0a88-4e4f-b42a-8d79062b06b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hypothesis 2 - Fare Amount:\n",
      "T-Statistic: -20.8519\n",
      "P-Value: 0.0000\n"
     ]
    }
   ],
   "source": [
    "# Hypothesis 2: Fare Amount\n",
    "# Null Hypothesis (H0): There is no significant difference in fare amounts between yellow and green taxis.\n",
    "# Alternate Hypothesis (H1): There is a significant difference in fare amounts between yellow and green taxis.\n",
    "\n",
    "t_statistic, p_value = stats.ttest_ind(yellow_taxi_data['fare_amount'], green_taxi_data['fare_amount'])\n",
    "print(f'Hypothesis 2 - Fare Amount:')\n",
    "print(f'T-Statistic: {t_statistic:.4f}')\n",
    "print(f'P-Value: {p_value:.4f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7a8cf4cb-22a5-4ff1-991e-9d4eb15e5ecf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hypothesis 3 - Tip Amount:\n",
      "T-Statistic: -18.0347\n",
      "P-Value: 0.0000\n"
     ]
    }
   ],
   "source": [
    "# Hypothesis 3: Customer Preferences (Tip Amount)\n",
    "# Null Hypothesis (H0): There is no significant difference in tip amounts between yellow and green taxis.\n",
    "# Alternate Hypothesis (H1): There is a significant difference in tip amounts between yellow and green taxis.\n",
    "\n",
    "t_statistic, p_value = stats.ttest_ind(yellow_taxi_data['tip_amount'], green_taxi_data['tip_amount'])\n",
    "print(f'Hypothesis 3 - Tip Amount:')\n",
    "print(f'T-Statistic: {t_statistic:.4f}')\n",
    "print(f'P-Value: {p_value:.4f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e978a5d0-d67c-4bf9-9668-d8bc20abe606",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Statistical Analysis 1 - Trip Distance (Mann-Whitney U Test):\n",
      "U Statistic: 212843.5000\n",
      "P-Value: 0.0000\n"
     ]
    }
   ],
   "source": [
    "# Statistical Analysis 1: Comparison of Trip Distance (Mann-Whitney U Test)\n",
    "# Null Hypothesis (H0): There is no significant difference in trip distances between yellow and green taxis.\n",
    "# Alternate Hypothesis (H1): There is a significant difference in trip distances between yellow and green taxis.\n",
    "\n",
    "u_statistic, p_value = stats.mannwhitneyu(yellow_taxi_data['trip_distance'], green_taxi_data['trip_distance'], alternative='two-sided')\n",
    "print(f'Statistical Analysis 1 - Trip Distance (Mann-Whitney U Test):')\n",
    "print(f'U Statistic: {u_statistic:.4f}')\n",
    "print(f'P-Value: {p_value:.4f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3956a076-e70c-46af-8201-e65cf6c6d058",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Statistical Analysis 2 - Fare Amount (Mann-Whitney U Test):\n",
      "U Statistic: 251951.5000\n",
      "P-Value: 0.0000\n"
     ]
    }
   ],
   "source": [
    "# Statistical Analysis 2: Comparison of Fare Amount (Mann-Whitney U Test)\n",
    "# Null Hypothesis (H0): There is no significant difference in fare amounts between yellow and green taxis.\n",
    "# Alternate Hypothesis (H1): There is a significant difference in fare amounts between yellow and green taxis.\n",
    "\n",
    "u_statistic, p_value = stats.mannwhitneyu(yellow_taxi_data['fare_amount'], green_taxi_data['fare_amount'], alternative='two-sided')\n",
    "print(f'Statistical Analysis 2 - Fare Amount (Mann-Whitney U Test):')\n",
    "print(f'U Statistic: {u_statistic:.4f}')\n",
    "print(f'P-Value: {p_value:.4f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "09d4b890-5767-4eec-a820-0dba1e569b60",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Statistical Analysis 3 - Tip Amount (Mann-Whitney U Test):\n",
      "U Statistic: 265231.5000\n",
      "P-Value: 0.0000\n"
     ]
    }
   ],
   "source": [
    "# Statistical Analysis 3: Comparison of Tip Amount (Mann-Whitney U Test)\n",
    "# Null Hypothesis (H0): There is no significant difference in tip amounts between yellow and green taxis.\n",
    "# Alternate Hypothesis (H1): There is a significant difference in tip amounts between yellow and green taxis.\n",
    "\n",
    "u_statistic, p_value = stats.mannwhitneyu(yellow_taxi_data['tip_amount'], green_taxi_data['tip_amount'], alternative='two-sided')\n",
    "print(f'Statistical Analysis 3 - Tip Amount (Mann-Whitney U Test):')\n",
    "print(f'U Statistic: {u_statistic:.4f}')\n",
    "print(f'P-Value: {p_value:.4f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "bd77a256-06fb-4f6a-9f83-27a69b212ff0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Customer Preferences Analysis 1: Payment Type Distribution\n",
    "# Calculate the distribution of payment types for yellow taxis\n",
    "yellow_payment_distribution = yellow_taxi_data['payment_type'].value_counts(normalize=True)\n",
    "\n",
    "# Calculate the distribution of payment types for green taxis\n",
    "green_payment_distribution = green_taxi_data['payment_type'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7c7635fa-a938-4331-8be5-dd885bea6fa4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "payment_type\n",
      "1    0.612832\n",
      "2    0.386062\n",
      "4    0.001106\n",
      "Name: proportion, dtype: float64\n",
      "payment_type\n",
      "1    0.797694\n",
      "2    0.190776\n",
      "4    0.008386\n",
      "3    0.003145\n",
      "Name: proportion, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(yellow_payment_distribution)\n",
    "print(green_payment_distribution)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "eb1cfb7d-2577-4661-95bf-b8d3e5d44476",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pshab\\AppData\\Local\\Temp\\ipykernel_5464\\2314797514.py:3: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  yellow_avg_tip_by_payment = yellow_taxi_data.groupby('payment_type')['tip_amount'].mean()\n",
      "C:\\Users\\pshab\\AppData\\Local\\Temp\\ipykernel_5464\\2314797514.py:6: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  green_avg_tip_by_payment = green_taxi_data.groupby('payment_type')['tip_amount'].mean()\n"
     ]
    }
   ],
   "source": [
    "# Customer Preferences Analysis 2: Average Tip Amount by Payment Type\n",
    "# Calculate the average tip amount for each payment type for yellow taxis\n",
    "yellow_avg_tip_by_payment = yellow_taxi_data.groupby('payment_type')['tip_amount'].mean()\n",
    "\n",
    "# Calculate the average tip amount for each payment type for green taxis\n",
    "green_avg_tip_by_payment = green_taxi_data.groupby('payment_type')['tip_amount'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9a79e9d8-1a39-463c-b43e-5fa26b5fc320",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "payment_type\n",
      "1    3.275162\n",
      "2    0.000000\n",
      "4    0.000000\n",
      "Name: tip_amount, dtype: float64\n",
      "payment_type\n",
      "1    6.906176\n",
      "2    0.000000\n",
      "3    0.000000\n",
      "4    0.000000\n",
      "Name: tip_amount, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(yellow_avg_tip_by_payment)\n",
    "print(green_avg_tip_by_payment)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2441c68c-f34f-45bc-9fc3-69f4fc5bf667",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Customer Preferences Analysis 3: Trip Purpose Analysis\n",
    "# Create a new column 'trip_purpose' based on the duration of the trip\n",
    "def trip_purpose(row):\n",
    "    if row['lpep_dropoff_datetime'] - row['lpep_pickup_datetime'] <= pd.Timedelta(minutes=30):\n",
    "        return 'Short Trip'\n",
    "    else:\n",
    "        return 'Long Trip'\n",
    "\n",
    "yellow_taxi_data['trip_purpose'] = yellow_taxi_data.apply(trip_purpose, axis=1)\n",
    "green_taxi_data['trip_purpose'] = green_taxi_data.apply(trip_purpose, axis=1)\n",
    "\n",
    "# Calculate the distribution of trip purposes for yellow and green taxis\n",
    "yellow_trip_purpose_distribution = yellow_taxi_data['trip_purpose'].value_counts(normalize=True)\n",
    "green_trip_purpose_distribution = green_taxi_data['trip_purpose'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "b3dd82b2-8767-4c1e-aac8-b6b9ab6b6284",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cost Impact Analysis 1: Fuel Costs\n",
    "# Assuming a fuel cost per mile (you may replace this with actual data)\n",
    "fuel_cost_per_mile = 0.3  # Example value, replace with actual data\n",
    "\n",
    "# Calculate total fuel costs for yellow and green taxis\n",
    "yellow_taxi_data['fuel_cost'] = yellow_taxi_data['trip_distance'] * fuel_cost_per_mile\n",
    "green_taxi_data['fuel_cost'] = green_taxi_data['trip_distance'] * fuel_cost_per_mile\n",
    "\n",
    "total_fuel_cost_yellow = yellow_taxi_data['fuel_cost'].sum()\n",
    "total_fuel_cost_green = green_taxi_data['fuel_cost'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "89808105-7e55-4c50-bfcc-ec91fc881e75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "703.173\n",
      "2228.241\n"
     ]
    }
   ],
   "source": [
    "print(total_fuel_cost_yellow)\n",
    "print(total_fuel_cost_green)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "e7b8681a-adad-4afc-b8f8-97f718df19af",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cost Impact Analysis 2: Maintenance Costs\n",
    "# Assuming a maintenance cost per mile (you may replace this with actual data)\n",
    "maintenance_cost_per_mile = 0.1  # Example value, replace with actual data\n",
    "\n",
    "# Calculate total maintenance costs for yellow and green taxis\n",
    "yellow_taxi_data['maintenance_cost'] = yellow_taxi_data['trip_distance'] * maintenance_cost_per_mile\n",
    "green_taxi_data['maintenance_cost'] = green_taxi_data['trip_distance'] * maintenance_cost_per_mile\n",
    "\n",
    "total_maintenance_cost_yellow = yellow_taxi_data['maintenance_cost'].sum()\n",
    "total_maintenance_cost_green = green_taxi_data['maintenance_cost'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "50e13cb9-1c24-4890-af40-bfac9e6f3a7f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234.39100000000002\n",
      "742.7470000000001\n"
     ]
    }
   ],
   "source": [
    "print(total_maintenance_cost_yellow)\n",
    "print(total_maintenance_cost_green)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "483c58c4-4e43-48d8-ab44-386eca7a085c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cost Impact Analysis 3: Total Revenue\n",
    "total_revenue_yellow = yellow_taxi_data['total_amount'].sum()\n",
    "total_revenue_green = green_taxi_data['total_amount'].sum()\n",
    "\n",
    "# Cost Impact Analysis 4: Profit Analysis\n",
    "# Calculate profit for yellow and green taxis\n",
    "yellow_taxi_data['profit'] = yellow_taxi_data['total_amount'] - (yellow_taxi_data['fuel_cost'] + yellow_taxi_data['maintenance_cost'])\n",
    "green_taxi_data['profit'] = green_taxi_data['total_amount'] - (green_taxi_data['fuel_cost'] + green_taxi_data['maintenance_cost'])\n",
    "\n",
    "total_profit_yellow = yellow_taxi_data['profit'].sum()\n",
    "total_profit_green = green_taxi_data['profit'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "1ded0285-9b8f-4508-aacf-372c23ade2f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17493.406000000003\n",
      "40655.812000000005\n"
     ]
    }
   ],
   "source": [
    "print(total_profit_yellow)\n",
    "print(total_profit_green)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d165def8-95cc-41b4-8b64-67314155683d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Trip Distance (Yellow Taxi): 2.59 miles\n",
      "Mean Trip Distance (Green Taxi): 7.79 miles\n"
     ]
    }
   ],
   "source": [
    "# Comparison 1: Trip Distance\n",
    "mean_trip_distance_yellow = yellow_taxi_data['trip_distance'].mean()\n",
    "mean_trip_distance_green = green_taxi_data['trip_distance'].mean()\n",
    "\n",
    "print(f\"Mean Trip Distance (Yellow Taxi): {mean_trip_distance_yellow:.2f} miles\")\n",
    "print(f\"Mean Trip Distance (Green Taxi): {mean_trip_distance_green:.2f} miles\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "90aa671a-ab9e-431a-87e3-e8ba4294284f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Fare Amount (Yellow Taxi): $15.72\n",
      "Mean Fare Amount (Green Taxi): $32.21\n"
     ]
    }
   ],
   "source": [
    "# Comparison 2: Fare Amount\n",
    "mean_fare_amount_yellow = yellow_taxi_data['fare_amount'].mean()\n",
    "mean_fare_amount_green = green_taxi_data['fare_amount'].mean()\n",
    "\n",
    "print(f\"Mean Fare Amount (Yellow Taxi): ${mean_fare_amount_yellow:.2f}\")\n",
    "print(f\"Mean Fare Amount (Green Taxi): ${mean_fare_amount_green:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "f62a943e-57a4-4817-8d48-7c5cbf87ebd6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Tip Amount (Yellow Taxi): $2.01\n",
      "Mean Tip Amount (Green Taxi): $5.51\n"
     ]
    }
   ],
   "source": [
    "# Comparison 3: Average Tip Amount\n",
    "mean_tip_amount_yellow = yellow_taxi_data['tip_amount'].mean()\n",
    "mean_tip_amount_green = green_taxi_data['tip_amount'].mean()\n",
    "\n",
    "print(f\"Mean Tip Amount (Yellow Taxi): ${mean_tip_amount_yellow:.2f}\")\n",
    "print(f\"Mean Tip Amount (Green Taxi): ${mean_tip_amount_green:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "a4e5cb0d-06a5-4b06-9f6e-91a0447ea733",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--- Conclusion ---\n",
      "Based on the analysis of yellow and green taxis in NYC, the following conclusions can be drawn:\n",
      "Green taxis tend to have longer average trip distances compared to yellow taxis.\n",
      "Green taxis tend to have higher average fare amounts compared to yellow taxis.\n",
      "Passengers of green taxis tend to give higher average tips compared to yellow taxis.\n"
     ]
    }
   ],
   "source": [
    "# Conclusion: Provide a summary of the findings and recommendations\n",
    "print(\"\\n--- Conclusion ---\")\n",
    "print(\"Based on the analysis of yellow and green taxis in NYC, the following conclusions can be drawn:\")\n",
    "\n",
    "if mean_trip_distance_yellow > mean_trip_distance_green:\n",
    "    print(\"Yellow taxis tend to have longer average trip distances compared to green taxis.\")\n",
    "else:\n",
    "    print(\"Green taxis tend to have longer average trip distances compared to yellow taxis.\")\n",
    "\n",
    "if mean_fare_amount_yellow > mean_fare_amount_green:\n",
    "    print(\"Yellow taxis tend to have higher average fare amounts compared to green taxis.\")\n",
    "else:\n",
    "    print(\"Green taxis tend to have higher average fare amounts compared to yellow taxis.\")\n",
    "\n",
    "if mean_tip_amount_yellow > mean_tip_amount_green:\n",
    "    print(\"Passengers of yellow taxis tend to give higher average tips compared to green taxis.\")\n",
    "else:\n",
    "    print(\"Passengers of green taxis tend to give higher average tips compared to yellow taxis.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "5f3379e2-4068-4e5e-9a5d-b72433569208",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the comparisons (optional)\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "# Plotting Trip Distance\n",
    "plt.subplot(1, 3, 1)\n",
    "plt.bar(['Yellow Taxi', 'Green Taxi'], [mean_trip_distance_yellow, mean_trip_distance_green], color=['yellow', 'green'])\n",
    "plt.title('Mean Trip Distance')\n",
    "plt.ylabel('Miles')\n",
    "\n",
    "# Plotting Fare Amount\n",
    "plt.subplot(1, 3, 2)\n",
    "plt.bar(['Yellow Taxi', 'Green Taxi'], [mean_fare_amount_yellow, mean_fare_amount_green], color=['yellow', 'green'])\n",
    "plt.title('Mean Fare Amount')\n",
    "plt.ylabel('USD')\n",
    "\n",
    "# Plotting Tip Amount\n",
    "plt.subplot(1, 3, 3)\n",
    "plt.bar(['Yellow Taxi', 'Green Taxi'], [mean_tip_amount_yellow, mean_tip_amount_green], color=['yellow', 'green'])\n",
    "plt.title('Mean Tip Amount')\n",
    "plt.ylabel('USD')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "fb0c8bf7-cc2d-4d0a-8913-290c2547585c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization 1: Histogram of Trip Distances\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.hist(yellow_taxi_data['trip_distance'], bins=30, alpha=0.5, color='yellow', label='Yellow Taxi')\n",
    "plt.hist(green_taxi_data['trip_distance'], bins=30, alpha=0.5, color='green', label='Green Taxi')\n",
    "plt.xlabel('Trip Distance (miles)')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Distribution of Trip Distances')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "25d41973-eb11-4a0b-9d5c-10b4ab51809e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "C:\\Users\\pshab\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  grouped_vals = vals.groupby(grouper)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization 2: Boxplot of Fare Amounts by Payment Type\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.boxplot(data=yellow_taxi_data, x='payment_type', y='fare_amount', palette='YlGnBu')\n",
    "plt.xlabel('Payment Type')\n",
    "plt.ylabel('Fare Amount')\n",
    "plt.title('Fare Amounts by Payment Type (Yellow Taxi)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "770dd842-c462-47cc-810e-2580e1ae1e36",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--- Project Report: Analyzing Performance and Customer Preferences in NYC's Green and Yellow Taxis ---\n",
      "\n",
      "**Findings:**\n",
      "\n",
      "1. Trip Distances:\n",
      "   - Yellow Taxi: Mean Trip Distance - 2.59 miles\n",
      "   - Green Taxi: Mean Trip Distance - 7.79 miles\n",
      "\n",
      "2. Fare Amounts:\n",
      "   - Yellow Taxi: Mean Fare Amount - $15.72\n",
      "   - Green Taxi: Mean Fare Amount - $32.21\n",
      "\n",
      "3. Average Tip Amount:\n",
      "   - Yellow Taxi: Mean Tip Amount - $2.01\n",
      "   - Green Taxi: Mean Tip Amount - $5.51\n",
      "\n",
      "--- End of Report ---\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Reporting: Generate a report summarizing the findings and recommendations\n",
    "report = \"\"\"\n",
    "--- Project Report: Analyzing Performance and Customer Preferences in NYC's Green and Yellow Taxis ---\n",
    "\n",
    "**Findings:**\n",
    "\n",
    "1. Trip Distances:\n",
    "   - Yellow Taxi: Mean Trip Distance - {:.2f} miles\n",
    "   - Green Taxi: Mean Trip Distance - {:.2f} miles\n",
    "\n",
    "2. Fare Amounts:\n",
    "   - Yellow Taxi: Mean Fare Amount - ${:.2f}\n",
    "   - Green Taxi: Mean Fare Amount - ${:.2f}\n",
    "\n",
    "3. Average Tip Amount:\n",
    "   - Yellow Taxi: Mean Tip Amount - ${:.2f}\n",
    "   - Green Taxi: Mean Tip Amount - ${:.2f}\n",
    "\n",
    "--- End of Report ---\n",
    "\"\"\".format(\n",
    "    yellow_taxi_data['trip_distance'].mean(),\n",
    "    green_taxi_data['trip_distance'].mean(),\n",
    "    yellow_taxi_data['fare_amount'].mean(),\n",
    "    green_taxi_data['fare_amount'].mean(),\n",
    "    yellow_taxi_data['tip_amount'].mean(),\n",
    "    green_taxi_data['tip_amount'].mean()\n",
    ")\n",
    "\n",
    "# Save the report to a file (you may replace the file path and name)\n",
    "report_file_path = 'taxi_analysis_report.txt'\n",
    "with open(report_file_path, 'w') as report_file:\n",
    "    report_file.write(report)\n",
    "\n",
    "#print(\"Report generated and saved successfully at:\", report_file_path)\n",
    "print(report)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "aeaf7ffa-7544-4c6e-8547-65d53d26bd12",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- Recommendations ---\n",
      "Recommendation 1: Consider expanding the green taxi service as it generated higher total revenue.\n",
      "Recommendation 2: Promote green taxis for their higher average tip amounts, which may attract more drivers.\n",
      "Recommendation 3: Explore ways to improve the fuel efficiency of green taxis to reduce operational costs.\n",
      "Recommendation 4: Consider promoting credit card payments for yellow taxis to enhance payment convenience.\n"
     ]
    }
   ],
   "source": [
    "# Recommendations:\n",
    "recommendations = []\n",
    "\n",
    "# Recommendation 1: Service Expansion\n",
    "if yellow_taxi_data['total_amount'].sum() < green_taxi_data['total_amount'].sum():\n",
    "    recommendations.append(\"Consider expanding the green taxi service as it generated higher total revenue.\")\n",
    "else:\n",
    "    recommendations.append(\"Consider expanding the yellow taxi service as it generated higher total revenue.\")\n",
    "\n",
    "# Recommendation 2: Customer Preferences\n",
    "if yellow_taxi_data['tip_amount'].mean() < green_taxi_data['tip_amount'].mean():\n",
    "    recommendations.append(\"Promote green taxis for their higher average tip amounts, which may attract more drivers.\")\n",
    "else:\n",
    "    recommendations.append(\"Promote yellow taxis for their higher average tip amounts, which may attract more drivers.\")\n",
    "\n",
    "# Recommendation 3: Fuel Efficiency\n",
    "if yellow_taxi_data['trip_distance'].mean() > green_taxi_data['trip_distance'].mean():\n",
    "    recommendations.append(\"Explore ways to improve the fuel efficiency of yellow taxis to reduce operational costs.\")\n",
    "else:\n",
    "    recommendations.append(\"Explore ways to improve the fuel efficiency of green taxis to reduce operational costs.\")\n",
    "\n",
    "# Recommendation 4: Payment Convenience\n",
    "if yellow_taxi_data['payment_type'].value_counts().idxmax() == 1:\n",
    "    recommendations.append(\"Consider promoting credit card payments for yellow taxis to enhance payment convenience.\")\n",
    "else:\n",
    "    recommendations.append(\"Consider promoting credit card payments for green taxis to enhance payment convenience.\")\n",
    "\n",
    "# Print Recommendations\n",
    "print(\"--- Recommendations ---\")\n",
    "for i, recommendation in enumerate(recommendations, 1):\n",
    "    print(f\"Recommendation {i}: {recommendation}\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}