E-commerce Dataset with 30K Products EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Dataset:https://www.kaggle.com/datasets/mukuldeshantri/ecommerce-fashion-dataset\n",
    "            "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get the Data And import the Libraries "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>Unnamed: 0</th>\n",
       "      <th>BrandName</th>\n",
       "      <th>Deatils</th>\n",
       "      <th>Sizes</th>\n",
       "      <th>MRP</th>\n",
       "      <th>SellPrice</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>life</td>\n",
       "      <td>solid cotton blend collar neck womens a-line d...</td>\n",
       "      <td>Size:Large,Medium,Small,X-Large,X-Small</td>\n",
       "      <td>Rs\\n1699</td>\n",
       "      <td>849</td>\n",
       "      <td>50% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>only</td>\n",
       "      <td>polyester peter pan collar womens blouson dres...</td>\n",
       "      <td>Size:34,36,38,40</td>\n",
       "      <td>Rs\\n3499</td>\n",
       "      <td>2449</td>\n",
       "      <td>30% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>fratini</td>\n",
       "      <td>solid polyester blend wide neck womens regular...</td>\n",
       "      <td>Size:Large,X-Large,XX-Large</td>\n",
       "      <td>Rs\\n1199</td>\n",
       "      <td>599</td>\n",
       "      <td>50% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>zink london</td>\n",
       "      <td>stripes polyester sweetheart neck womens dress...</td>\n",
       "      <td>Size:Large,Medium,Small,X-Large</td>\n",
       "      <td>Rs\\n2299</td>\n",
       "      <td>1379</td>\n",
       "      <td>40% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>life</td>\n",
       "      <td>regular fit regular length denim womens jeans ...</td>\n",
       "      <td>Size:26,28,30,32,34,36</td>\n",
       "      <td>Rs\\n1699</td>\n",
       "      <td>849</td>\n",
       "      <td>50% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0    BrandName                                            Deatils  \\\n",
       "0           0         life  solid cotton blend collar neck womens a-line d...   \n",
       "1           1         only  polyester peter pan collar womens blouson dres...   \n",
       "2           2      fratini  solid polyester blend wide neck womens regular...   \n",
       "3           3  zink london  stripes polyester sweetheart neck womens dress...   \n",
       "4           4         life  regular fit regular length denim womens jeans ...   \n",
       "\n",
       "                                     Sizes       MRP SellPrice Discount  \\\n",
       "0  Size:Large,Medium,Small,X-Large,X-Small  Rs\\n1699       849  50% off   \n",
       "1                         Size:34,36,38,40  Rs\\n3499      2449  30% off   \n",
       "2              Size:Large,X-Large,XX-Large  Rs\\n1199       599  50% off   \n",
       "3          Size:Large,Medium,Small,X-Large  Rs\\n2299      1379  40% off   \n",
       "4                   Size:26,28,30,32,34,36  Rs\\n1699       849  50% off   \n",
       "\n",
       "            Category  \n",
       "0  Westernwear-Women  \n",
       "1  Westernwear-Women  \n",
       "2  Westernwear-Women  \n",
       "3  Westernwear-Women  \n",
       "4  Westernwear-Women  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns \n",
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "df = pd.read_csv(\"FashionDataset.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Cleaning "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 30758 entries, 0 to 30757\n",
      "Data columns (total 8 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   Unnamed: 0  30758 non-null  int64 \n",
      " 1   BrandName   30758 non-null  object\n",
      " 2   Deatils     30758 non-null  object\n",
      " 3   Sizes       30758 non-null  object\n",
      " 4   MRP         30758 non-null  object\n",
      " 5   SellPrice   30758 non-null  object\n",
      " 6   Discount    30758 non-null  object\n",
      " 7   Category    30758 non-null  object\n",
      "dtypes: int64(1), object(7)\n",
      "memory usage: 1.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Unnamed: 0', 'BrandName', 'Deatils', 'Sizes', 'MRP', 'SellPrice',\n",
      "       'Discount', 'Category'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(df.keys())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Delete a column\n",
    "\n",
    "to_drop=['Unnamed: 0']\n",
    "df.drop(to_drop, inplace=True, axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Rename specfic columns  \n",
    "df=df.rename(columns = {'Deatils':'Details','Discount':'Discount Percentage','MRP':'Maximum retail price'})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['BrandName' 'Details' 'Sizes' 'Maximum retail price' 'SellPrice'\n",
      " 'Discount Percentage' 'Category']\n"
     ]
    }
   ],
   "source": [
    "#Print the names of the columns after altering them\n",
    "print(df.columns.values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>BrandName</th>\n",
       "      <th>Details</th>\n",
       "      <th>Sizes</th>\n",
       "      <th>Maximum retail price</th>\n",
       "      <th>SellPrice</th>\n",
       "      <th>Discount Percentage</th>\n",
       "      <th>Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>life</td>\n",
       "      <td>solid cotton blend collar neck womens a-line d...</td>\n",
       "      <td>Size:Large,Medium,Small,X-Large,X-Small</td>\n",
       "      <td>Rs\\n1699</td>\n",
       "      <td>849</td>\n",
       "      <td>50% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>only</td>\n",
       "      <td>polyester peter pan collar womens blouson dres...</td>\n",
       "      <td>Size:34,36,38,40</td>\n",
       "      <td>Rs\\n3499</td>\n",
       "      <td>2449</td>\n",
       "      <td>30% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>fratini</td>\n",
       "      <td>solid polyester blend wide neck womens regular...</td>\n",
       "      <td>Size:Large,X-Large,XX-Large</td>\n",
       "      <td>Rs\\n1199</td>\n",
       "      <td>599</td>\n",
       "      <td>50% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>zink london</td>\n",
       "      <td>stripes polyester sweetheart neck womens dress...</td>\n",
       "      <td>Size:Large,Medium,Small,X-Large</td>\n",
       "      <td>Rs\\n2299</td>\n",
       "      <td>1379</td>\n",
       "      <td>40% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>life</td>\n",
       "      <td>regular fit regular length denim womens jeans ...</td>\n",
       "      <td>Size:26,28,30,32,34,36</td>\n",
       "      <td>Rs\\n1699</td>\n",
       "      <td>849</td>\n",
       "      <td>50% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30752</th>\n",
       "      <td>shaya by caratlane</td>\n",
       "      <td>the wing woman clover charm necklace</td>\n",
       "      <td>Nan</td>\n",
       "      <td>Nan</td>\n",
       "      <td>1250</td>\n",
       "      <td>Nan</td>\n",
       "      <td>Jewellery-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30753</th>\n",
       "      <td>swarovski</td>\n",
       "      <td>crystal stylish womens rodhium earrings</td>\n",
       "      <td>Nan</td>\n",
       "      <td>Nan</td>\n",
       "      <td>8950</td>\n",
       "      <td>Nan</td>\n",
       "      <td>Jewellery-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30755</th>\n",
       "      <td>jewelz</td>\n",
       "      <td>ethnic gold plated jhumki earrings</td>\n",
       "      <td>Nan</td>\n",
       "      <td>Rs\\n1839</td>\n",
       "      <td>643</td>\n",
       "      <td>65% off</td>\n",
       "      <td>Jewellery-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30756</th>\n",
       "      <td>estelle</td>\n",
       "      <td>womens gold plated double line fancy white and...</td>\n",
       "      <td>Nan</td>\n",
       "      <td>Nan</td>\n",
       "      <td>2799</td>\n",
       "      <td>Nan</td>\n",
       "      <td>Jewellery-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30757</th>\n",
       "      <td>estelle</td>\n",
       "      <td>womens gold plated bridge designer mangalsutra...</td>\n",
       "      <td>Nan</td>\n",
       "      <td>Nan</td>\n",
       "      <td>1899</td>\n",
       "      <td>Nan</td>\n",
       "      <td>Jewellery-Women</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27931 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                BrandName                                            Details  \\\n",
       "0                    life  solid cotton blend collar neck womens a-line d...   \n",
       "1                    only  polyester peter pan collar womens blouson dres...   \n",
       "2                 fratini  solid polyester blend wide neck womens regular...   \n",
       "3             zink london  stripes polyester sweetheart neck womens dress...   \n",
       "4                    life  regular fit regular length denim womens jeans ...   \n",
       "...                   ...                                                ...   \n",
       "30752  shaya by caratlane               the wing woman clover charm necklace   \n",
       "30753           swarovski            crystal stylish womens rodhium earrings   \n",
       "30755              jewelz                 ethnic gold plated jhumki earrings   \n",
       "30756             estelle  womens gold plated double line fancy white and...   \n",
       "30757             estelle  womens gold plated bridge designer mangalsutra...   \n",
       "\n",
       "                                         Sizes Maximum retail price SellPrice  \\\n",
       "0      Size:Large,Medium,Small,X-Large,X-Small             Rs\\n1699       849   \n",
       "1                             Size:34,36,38,40             Rs\\n3499      2449   \n",
       "2                  Size:Large,X-Large,XX-Large             Rs\\n1199       599   \n",
       "3              Size:Large,Medium,Small,X-Large             Rs\\n2299      1379   \n",
       "4                       Size:26,28,30,32,34,36             Rs\\n1699       849   \n",
       "...                                        ...                  ...       ...   \n",
       "30752                                      Nan                  Nan      1250   \n",
       "30753                                      Nan                  Nan      8950   \n",
       "30755                                      Nan             Rs\\n1839       643   \n",
       "30756                                      Nan                  Nan      2799   \n",
       "30757                                      Nan                  Nan      1899   \n",
       "\n",
       "      Discount Percentage           Category  \n",
       "0                 50% off  Westernwear-Women  \n",
       "1                 30% off  Westernwear-Women  \n",
       "2                 50% off  Westernwear-Women  \n",
       "3                 40% off  Westernwear-Women  \n",
       "4                 50% off  Westernwear-Women  \n",
       "...                   ...                ...  \n",
       "30752                 Nan    Jewellery-Women  \n",
       "30753                 Nan    Jewellery-Women  \n",
       "30755             65% off    Jewellery-Women  \n",
       "30756                 Nan    Jewellery-Women  \n",
       "30757                 Nan    Jewellery-Women  \n",
       "\n",
       "[27931 rows x 7 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop duplicates\n",
    "\n",
    "df=df.drop_duplicates()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Drop the rows having at least 1 missing value\n",
    "df.dropna(axis=0, how='any', inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>BrandName</th>\n",
       "      <th>Details</th>\n",
       "      <th>Sizes</th>\n",
       "      <th>Maximum retail price</th>\n",
       "      <th>SellPrice</th>\n",
       "      <th>Discount Percentage</th>\n",
       "      <th>Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8297</th>\n",
       "      <td>109f</td>\n",
       "      <td>womens round neck lace top - pink</td>\n",
       "      <td>Size:X-Large</td>\n",
       "      <td>Rs\\n1799</td>\n",
       "      <td>719</td>\n",
       "      <td>60% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7514</th>\n",
       "      <td>109f</td>\n",
       "      <td>printed polyester round neck womens sweatshirt...</td>\n",
       "      <td>Size:Large,Medium,X-Large,XX-Large</td>\n",
       "      <td>Nan</td>\n",
       "      <td>2499</td>\n",
       "      <td>Nan</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8279</th>\n",
       "      <td>109f</td>\n",
       "      <td>womens round neck slub top - grey</td>\n",
       "      <td>Size:X-Large,X-Small</td>\n",
       "      <td>Rs\\n1499</td>\n",
       "      <td>599</td>\n",
       "      <td>60% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7711</th>\n",
       "      <td>109f</td>\n",
       "      <td>womens round neck solid jumpsuit - dark brown</td>\n",
       "      <td>Size:Large</td>\n",
       "      <td>Rs\\n1999</td>\n",
       "      <td>799</td>\n",
       "      <td>60% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7513</th>\n",
       "      <td>109f</td>\n",
       "      <td>womens strappy neck printed maxi dress - black</td>\n",
       "      <td>Size:Small,X-Small</td>\n",
       "      <td>Rs\\n2499</td>\n",
       "      <td>999</td>\n",
       "      <td>60% off</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     BrandName                                            Details  \\\n",
       "8297      109f                  womens round neck lace top - pink   \n",
       "7514      109f  printed polyester round neck womens sweatshirt...   \n",
       "8279      109f                  womens round neck slub top - grey   \n",
       "7711      109f      womens round neck solid jumpsuit - dark brown   \n",
       "7513      109f     womens strappy neck printed maxi dress - black   \n",
       "\n",
       "                                   Sizes Maximum retail price SellPrice  \\\n",
       "8297                        Size:X-Large             Rs\\n1799       719   \n",
       "7514  Size:Large,Medium,X-Large,XX-Large                  Nan      2499   \n",
       "8279                Size:X-Large,X-Small             Rs\\n1499       599   \n",
       "7711                          Size:Large             Rs\\n1999       799   \n",
       "7513                  Size:Small,X-Small             Rs\\n2499       999   \n",
       "\n",
       "     Discount Percentage           Category  \n",
       "8297             60% off  Westernwear-Women  \n",
       "7514                 Nan  Westernwear-Women  \n",
       "8279             60% off  Westernwear-Women  \n",
       "7711             60% off  Westernwear-Women  \n",
       "7513             60% off  Westernwear-Women  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Order rows by values of a column (low to high).\n",
    "df=df.sort_values('BrandName', ascending=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Fixing the Maximum Retail price format\n",
    "df[\"Maximum retail price\"]= df[\"Maximum retail price\"].str.replace(\"[Rs\\n]\",\"\")\n",
    "\n",
    "#Fixing the Discount Percentage format\n",
    "df[\"Discount Percentage\"]= df[\"Discount Percentage\"].str.replace(\"[% off]\",\"\")\n",
    "\n",
    "\n",
    "#Fixing the size format\n",
    "df[\"Sizes\"]= df[\"Sizes\"].str.replace(\"Size:\",\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>BrandName</th>\n",
       "      <th>Details</th>\n",
       "      <th>Sizes</th>\n",
       "      <th>Maximum retail price</th>\n",
       "      <th>SellPrice</th>\n",
       "      <th>Discount Percentage</th>\n",
       "      <th>Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>22687</td>\n",
       "      <td>22687</td>\n",
       "      <td>22687</td>\n",
       "      <td>22687</td>\n",
       "      <td>22687</td>\n",
       "      <td>22687</td>\n",
       "      <td>22687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>140</td>\n",
       "      <td>19242</td>\n",
       "      <td>1171</td>\n",
       "      <td>805</td>\n",
       "      <td>1276</td>\n",
       "      <td>64</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>zink london</td>\n",
       "      <td>synthetic womens casual sandals - black</td>\n",
       "      <td>Large,Medium,Small,X-Large,X-Small</td>\n",
       "      <td>1999</td>\n",
       "      <td>999</td>\n",
       "      <td>50</td>\n",
       "      <td>Westernwear-Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>908</td>\n",
       "      <td>20</td>\n",
       "      <td>1925</td>\n",
       "      <td>1312</td>\n",
       "      <td>738</td>\n",
       "      <td>11272</td>\n",
       "      <td>9632</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          BrandName                                  Details  \\\n",
       "count         22687                                    22687   \n",
       "unique          140                                    19242   \n",
       "top     zink london  synthetic womens casual sandals - black   \n",
       "freq            908                                       20   \n",
       "\n",
       "                                     Sizes Maximum retail price SellPrice  \\\n",
       "count                                22687                22687     22687   \n",
       "unique                                1171                  805      1276   \n",
       "top     Large,Medium,Small,X-Large,X-Small                 1999       999   \n",
       "freq                                  1925                 1312       738   \n",
       "\n",
       "       Discount Percentage           Category  \n",
       "count                22687              22687  \n",
       "unique                  64                  6  \n",
       "top                     50  Westernwear-Women  \n",
       "freq                 11272               9632  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Drop the Unknown Sizes\n",
    "df.drop(df.index[df['Sizes'] =='Nan'], inplace = True)\n",
    "\n",
    "#Replace the values \n",
    "\n",
    "df=df.replace({'Maximum retail price': 'Nan'}, {'Maximum retail price': None  })\n",
    "df=df.replace({'Discount Percentage': 'Nan'}, {'Discount Percentage': '50'})\n",
    "\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Change the Data Type of these Columns\n",
    "\n",
    "cols=['SellPrice','Discount Percentage','Maximum retail price']\n",
    "df[cols] = df[cols].astype('float')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summarize Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "140"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Count the number of distinct values in a column.\n",
    "First=df['BrandName'].nunique()\n",
    "First"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>Maximum retail price</th>\n",
       "      <th>SellPrice</th>\n",
       "      <th>Discount Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>22687.000000</td>\n",
       "      <td>22687.000000</td>\n",
       "      <td>22687.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2158.009697</td>\n",
       "      <td>1377.412615</td>\n",
       "      <td>46.271345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1218.702748</td>\n",
       "      <td>1038.416099</td>\n",
       "      <td>12.778406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>171.000000</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1312.000000</td>\n",
       "      <td>719.000000</td>\n",
       "      <td>40.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1899.000000</td>\n",
       "      <td>1079.000000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2699.000000</td>\n",
       "      <td>1700.000000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>16999.000000</td>\n",
       "      <td>13599.000000</td>\n",
       "      <td>85.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Maximum retail price     SellPrice  Discount Percentage\n",
       "count          22687.000000  22687.000000         22687.000000\n",
       "mean            2158.009697   1377.412615            46.271345\n",
       "std             1218.702748   1038.416099            12.778406\n",
       "min              171.000000    114.000000             0.000000\n",
       "25%             1312.000000    719.000000            40.000000\n",
       "50%             1899.000000   1079.000000            50.000000\n",
       "75%             2699.000000   1700.000000            50.000000\n",
       "max            16999.000000  13599.000000            85.000000"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>Maximum retail price</th>\n",
       "      <th>SellPrice</th>\n",
       "      <th>Discount Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BrandName</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>109f</th>\n",
       "      <td>1806.894737</td>\n",
       "      <td>1025.578947</td>\n",
       "      <td>57.122807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aarke</th>\n",
       "      <td>2174.866667</td>\n",
       "      <td>3114.222222</td>\n",
       "      <td>49.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>adidas</th>\n",
       "      <td>2430.147541</td>\n",
       "      <td>2738.057377</td>\n",
       "      <td>40.901639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alcis</th>\n",
       "      <td>3599.000000</td>\n",
       "      <td>1134.714286</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>allen solly</th>\n",
       "      <td>2111.831858</td>\n",
       "      <td>1442.805310</td>\n",
       "      <td>34.415929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wacoal</th>\n",
       "      <td>1638.296000</td>\n",
       "      <td>1558.856000</td>\n",
       "      <td>44.160000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yuris</th>\n",
       "      <td>2877.955224</td>\n",
       "      <td>1143.671642</td>\n",
       "      <td>58.970149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zink london</th>\n",
       "      <td>2152.248899</td>\n",
       "      <td>1048.746696</td>\n",
       "      <td>50.835903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zink z</th>\n",
       "      <td>2799.000000</td>\n",
       "      <td>1676.142857</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ziyaa</th>\n",
       "      <td>2580.712621</td>\n",
       "      <td>1045.258252</td>\n",
       "      <td>59.058252</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>140 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Maximum retail price    SellPrice  Discount Percentage\n",
       "BrandName                                                          \n",
       "109f                  1806.894737  1025.578947            57.122807\n",
       "aarke                 2174.866667  3114.222222            49.777778\n",
       "adidas                2430.147541  2738.057377            40.901639\n",
       "alcis                 3599.000000  1134.714286            50.000000\n",
       "allen solly           2111.831858  1442.805310            34.415929\n",
       "...                           ...          ...                  ...\n",
       "wacoal                1638.296000  1558.856000            44.160000\n",
       "yuris                 2877.955224  1143.671642            58.970149\n",
       "zink london           2152.248899  1048.746696            50.835903\n",
       "zink z                2799.000000  1676.142857            50.000000\n",
       "ziyaa                 2580.712621  1045.258252            59.058252\n",
       "\n",
       "[140 rows x 3 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group1= df.groupby(['BrandName']).mean()\n",
    "group1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "zink london    908\n",
      "global desi    881\n",
      "enamor         786\n",
      "stop           781\n",
      "and            701\n",
      "              ... \n",
      "mothercare       1\n",
      "ed hardy         1\n",
      "recap            1\n",
      "sole head        1\n",
      "swiss eagle      1\n",
      "Name: BrandName, Length: 140, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "zink london    908\n",
       "global desi    881\n",
       "enamor         786\n",
       "stop           781\n",
       "and            701\n",
       "faballey       642\n",
       "janasya        638\n",
       "varanga        590\n",
       "w              574\n",
       "juniper        565\n",
       "Name: BrandName, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Count number of rows with each unique value of variable\n",
    "Second=df['BrandName'].value_counts()\n",
    "print(Second)\n",
    "\n",
    "Second.nlargest(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Checking Before Data Visualization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BrandName               False\n",
       "Details                 False\n",
       "Sizes                   False\n",
       "Maximum retail price    False\n",
       "SellPrice               False\n",
       "Discount Percentage     False\n",
       "Category                False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking for NULL/NA Values\n",
    "df.isna().any()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BrandName                object\n",
       "Details                  object\n",
       "Sizes                    object\n",
       "Maximum retail price    float64\n",
       "SellPrice               float64\n",
       "Discount Percentage     float64\n",
       "Category                 object\n",
       "dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking for data types \n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualization "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Which categories of products, as a data analyst, would you suggest to new entrepreneurs?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Westernwear-Women           9632\n",
       "Indianwear-Women            7556\n",
       "Lingerie&Nightwear-Women    3138\n",
       "Footwear-Women              2356\n",
       "Watches-Women                  3\n",
       "Fragrance-Women                2\n",
       "Name: Category, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_for_category = df['Category'].value_counts()\n",
    "max_for_category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (15, 6))\n",
    " \n",
    "\n",
    "f= sns.countplot(data = df, x = \"Category\",palette=\"Set2\")\n",
    "f.set(title = \"Number of Transactions of each Category \")\n",
    "f.set_xlabel(\"Categories\", fontsize = 20, weight = \"bold\")\n",
    "f.set_ylabel(\"Count\", fontsize = 20, weight = \"bold\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What is the range of the sell prices of each Category?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15,6))\n",
    "\n",
    "t= sns.boxplot(data = df , y = \"SellPrice\", x = \"Category\", palette=\"Set2\")\n",
    "plt.ylim(0, 7000)\n",
    "\n",
    "t.set_xlabel(\"Categories\", fontsize = 20, weight = \"bold\")\n",
    "t.set_ylabel(\"Spell Price\", fontsize = 20, weight = \"bold\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Creating a text variable for all sizes.\n",
    "text1 = \" \".join(i for i in df['Sizes'])\n",
    "\n",
    "word_cloud = WordCloud(background_color = 'white',\n",
    "                        width = 2048, height = 1080,collocations = False).generate(text1)\n",
    "\n",
    "plt.imshow(word_cloud )\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Hg2XLloU89qOPPkpBQUEwrtzcXDZs2EBJSQlpaWkopUhNTWX58uXk5uYSHx9PYmJisIvwyy+/HGwVDceVV17JsmXLOH36NADl5eUcOXKk3c/JxUiSUCGEEEIIIbpASmQM/exxrW7TLyrunFtBIdB1tLS0lOzs7CZl8fHxpKWlsWzZMn70ox8xYcIEMjMzycvLw+/3c+uttzJ+/HgmTpzI4sWLSUhI4Nprr+Xtt98OTkz07LPPkp+fT0ZGBmPGjOGPf/xju+ObMWMGRUVF5OTk0KdPHyIjI5kxYwYAqampLF26lJtvvpmMjAyys7PZs2cPCQkJfPOb32T8+PEsWLAg2P21LYmJiaSmpjJ27NhgWU5ODqdPn2bChAkAvPTSS/zgBz8gIyODgoICfvGLX4T9WMaMGcMjjzzC3LlzycjIYM6cOcGJnkTrVMPMUuKMrKwsnZ+f391hCCGEEEKIXmL37t2MHj26ze0aZscNNTlRhMnM9zOuOq9lWoQ4F6Fev0qpzVrrrM44n7SECiGEEEII0UXSY5P5fsZVDI5JxGoyYzdbsZrMDI5JlARUXDRkYiIhhBBCCCG6UHpsMg9N/BKlLgeVbicJNvt5dcEVoreRJFQIIYQQQohukBIZI8mnuChJd1whhBBCCCGEEF1GklAhhBBCCCGEEF1GklAhhBBCCCGEEF1GklAhhBBCCCEuADEx7Rtfunr1ar7yla8A8K9//Yvf/va3nRFWh3rmmWf47ne/G7x/zz33cNVVVwXvP/fcczz44IPdEJloD5mYSAghhBBCiC6kDT96x1r0Fx+CoxJiElCT5qDGXYYymbslpvnz5zN//vxuOXdbfD4fFksgbcnNzeWVV14J1hUUFGAYBn6/H7PZTF5eHgsWLOimSEW4pCVUCCGEEEKILqINP8ZbT6FXvwblReBxQnkRevVrgXLDf97nWL16NbNnz+aGG25g1KhR3HLLLWitAXj//fcZNWoUl112GW+99VZwn6VLl/Ltb38bgHfeeYdp06YxceJErrrqKoqLiwFYsmQJd955J7Nnz2bYsGE8++yzADz++OPB3xcvXswVV1wBwEcffcStt94KwMqVK8nJyWHSpEksWrQIh8MBwK9+9SumTJnCuHHjuPvuu4Nxzp49m5/+9KfMmjWLZ555JhjnxIkT2bdvH06nk6qqKqKiosjMzGT79u0A5OXlkZubS0FBAdnZ2WRkZLBw4UIqKiqCx128eDEzZ85k9OjRbNq0ieuvv54RI0bws5/9LHiev/3tb0ydOpXMzEzuuece/P7A3yUmJoaHHnqICRMmkJ2dHXxuRPtIEiqEEEIIIUQX0TvWwsmD4PM0rfB54OTBQH0H2LJlC08//TS7du3i0KFDrFu3DpfLxTe/+U3eeecd1qxZw6lTp0Lue9lll7Fhwwa2bNnCTTfdxOOPPx6s27NnDx988AEbN27k4Ycfxuv1MnPmTNasWQNAfn4+DocDr9fL2rVrmTFjBqWlpTzyyCOsWrWKL774gqysLJ588kkAvv3tb7Np0yZ27NiB0+nk3XffDZ6rsrKSTz/9lO9///vBMovFQmZmJps2bWLDhg1MmzaN7Oxs8vLyOHnyJFprBg0axG233cZjjz3Gtm3bGD9+PA8//HDwGBEREXz22Wfce++9XHfddfz+979nx44dLF26lLKyMnbv3s3rr7/OunXrKCgowGw2B1tfa2tryc7OZuvWrcycOZMXXnihQ/5eFxvpjiuEEEIIIUQX0V982DwBbeDzBOozZp33eaZOncrAgQMByMzMpLCwkJiYGIYOHcqIESMAuPXWW3n++eeb7Xv8+HFuvPFGioqK8Hg8DB06NFj35S9/GZvNhs1mIy0tjeLiYiZPnszmzZupqanBZrMxadIk8vPzWbNmDc8++ywbNmxg165dTJ8+HQCPx0NOTg4An3zyCY8//jh1dXWUl5czduxYrr32WgBuvPHGkI9t+vTp5OXl4XQ6ycnJYcSIEfz6178mNTWV3NxcqqqqqKysZNaswPN4++23s2jRouD+Dd2Ox48fz9ixY+nXrx8Aw4YN49ixY6xdu5bNmzczZcoUAJxOJ2lpaUAggW0YRzt58mQ+/PDDdv9thCShQgghhBBCdB1H5fnVh8lmswV/N5vN+Hw+AJRSbe77wAMP8L3vfY/58+ezevVqlixZ0upxrVYr6enpvPjii+Tm5pKRkcEnn3zCwYMHGT16NAcPHmTOnDm8+uqrTc7jcrm47777yM/PZ9CgQSxZsgSXyxWsj46OBuChhx7ivffeAwJjQHNzc/nTn/6Ey+Xi/vvvJzU1lV27dpGamhpMdMN5bkwmU5PHYzKZ8Pl8aK25/fbb+c1vftNsX6vVGnwOGz+von3OqTuuChijlJqllBrY0UEJIYQQQghxQYpJOL/68zBq1CgOHz7MwYMHAZolhQ2qqqoYMGAAAC+99FJYx545cyZPPPEEM2fOZMaMGfzxj38kMzMTpRTZ2dmsW7eOAwcOAFBXV8e+ffuCCWdKSgoOh4Nly5aFPPajjz5KQUEBBQUFQGByog0bNlBSUkJaWhpKKVJTU1m+fDm5ubnEx8eTmJgY7CL88ssvB1tFw3HllVeybNkyTp8+DUB5eTlHjhwJe3/RtnYnoUqpHwOnge3Ax8DXlFILlFIfK6U+Ukolt+NYf1FKnVZK7WhU9t9KqT1KqW1KqbeVUgmN6n6ilDqglNqrlLq6UflkpdT2+rpnVf3lCaWUTSn1en3550qp9PY+XiGEEEIIITqKmjQHLBGhKy0RgfpOEhkZyfPPP8+Xv/xlLrvsMoYMGRJyuyVLlrBo0SJmzJhBSkpKWMeeMWMGRUVF5OTk0KdPHyIjI5kxYwYAqampLF26lJtvvpmMjAyys7PZs2cPCQkJfPOb32T8+PEsWLAg2P21LYmJiaSmpjJ27NhgWU5ODqdPn2bChAlAIHn+wQ9+QEZGBgUFBfziF78I69gAY8aM4ZFHHmHu3LlkZGQwZ84cioqKwt5ftE01zEAV1sZK/Q24ueEuoIEfAK8AJ+rL/lNr/dcwjzcTcAB/1VqPqy+bC3ystfYppR4D0Fr/SCk1BngVmAr0B1YBl2qt/UqpjcB3gA3Av4FntdYrlFL3ARla63uVUjcBC7XWoTuXN5KVlaXz8/PDeQhCCCGEEEKwe/duRo8e3eZ2DbPjNpucyBIB/Ydjun5xty3TIi5eoV6/SqnNWuuszjhf2C2hSqkbgK833G1cp7UuBjbV3/1yuMfUWn8GlJ9VtlJr3dC5egPQ0N33OuA1rbVba30YOABMVUr1A+K01ut1IKP+K7Cg0T4NfQiWAVc2tJIKIYQQQgjR1ZTJHEg0Z98ESf0gwg5J/VCX3ywJqLhotGdiom/W3xrA74AfnlWfD0wD2r4EFL47gdfrfx9AICltcLy+zFv/+9nlDfscA6hvWa0CkoHSDoxRCCGEEEKIsCmTGZUxq0NmwRWiN2rPmNBJBLrfvq61/nGI+pP1t/3POypAKfUQ4CPQ1RfOan2tp1spb22fUOe7WymVr5TKLykpaW+4QgghhBBCCCHC0J4kNK7+dmcL9fb625hzDydAKXU78BXgFn1m0OpxYFCjzQYSSHyPc6bLbuPyJvsopSxAPGd1/22gtX5ea52ltc5KTU0934cghBBCCCGEECKE9iShVfW3w1uoz62/DZnkhUspNQ/4ETBfa13XqOpfwE31M94OBUYAG7XWRUCNUiq7frznbcDyRvvcXv/7DQQmPAp/JiYhhBBCCCGEEB2qPWNCtwJXAjcrpd5vVJ6ilPolcAWBrq4F4R5QKfUqMLv+GMeBXwI/AWzAh/VzCG3QWt+rtd6plPoHsItAN937tdb++kN9C1hKoDV2Rf0PwJ+Bl5VSBwgkxze14/EKIYQQQgghhOhg7WkJbZggKLLR74pAq+UvQmzXJq31zVrrflprq9Z6oNb6z1rrS7TWg7TWmfU/9zba/lGt9XCt9Uit9YpG5fla63H1dd9uaO3UWru01ovqjzlVa32oHY9XCCGEEEKIXiMmpvmouD/+8Y/89a9hrZ54Xn7xi1+watWqNrdbsmQJo0aNYty4cbz99ttN6mbPnk1W1pkVQfLz85k9e3bw9wcffLDVYxcWFjJu3LiQdUuXLuXkyZMh6zrT1q1byczMDN5/9dVXiYqKwuv1ArB9+3YyMjK6PK7u1p6W0KXA3UAWgRbPUN1aNwEvn39YQgghhBBCXLjcHh97D1dQXu0iKS6SkUMTsUW056t5eO699962NzpPfr+fX/3qV21ud+zYMV555RV27dqFUopTp0412+b06dOsWLGCL33pS03Ks7KymiSo7bV06VLGjRtH//4dModqq3w+HxZL4G85fvx4jhw5Qk1NDbGxseTl5TFq1Ci2bNnC1KlTycvLY/r06Z0eU08Tdkto/dqdVwP/JtACevbPCuAarbXRCXEKIYQQQghxQTh2qprn39jG6vxjfLGrmNX5x3j+jW0cO1Xd4edasmQJTzzxBBBoafzRj37E1KlTufTSS1mzZg0AdXV1fO1rXyMjI4Mbb7yRadOmkZ+fD8DKlSvJyclh0qRJLFq0CIfDAUB6ejq/+tWvuOyyy3jjjTe44447WLZsGQCbN29m1qxZTJ48mauvvpqioiIALBYL1dXVOBwOLBYLAwcOPDtcfvCDH/DII480K1+9ejVf+cpXACgpKWHOnDlMmjSJe+65hyFDhlBaGliB0e/3881vfpOxY8cyd+5cnE4ny5YtIz8/n1tuuYXMzEw+/fRTrr/+egCWL1+O3W7H4/HgcrkYNmwYAAcPHmTevHlMnjyZGTNmsGfPHgDeeecdpk2bxsSJE7nqqqsoLi4OPs933303c+fO5bbbbgvGbTKZmDJlCp9//nnwubn//vvJy8sDIC8vj9zcXMrLy1mwYAEZGRlkZ2ezbdu24HFvv/125s6dS3p6Om+99RY//OEPGT9+PPPmzQu2qLb0nLf0N+9u7emOi9a6Qmv9FWA8cB/ws/rbDK31l7XW5zUpkRBCCCGEEBcyt8fHPz86gNdn4PMF2m58PgOvz+CfHx3A7fG3cYTz4/P52LhxI08//TQPP/wwAH/4wx9ITExk27Zt/PznP2fz5s0AlJaW8sgjj7Bq1Sq++OILsrKyePLJJ4PHioyMZO3atdx005lpV7xeLw888ADLli1j8+bN3HnnnTz00EMA2Gw2+vTpw/XXX4/b7Q4ZX05ODjabjU8++aTFx/Dwww9zxRVX8MUXX7Bw4UKOHj0arNu/fz/3338/O3fuJCEhgTfffJMbbriBrKwsXnnlFQoKCpg+fTpbtmwBYM2aNYwbN45Nmzbx+eefM23aNADuvvtunnvuOTZv3swTTzzBfffdB8Bll13Ghg0b2LJlCzfddBOPP/548NybN29m+fLl/P3vf28Sb25uLnl5edTW1mIymZg9e3aTJHT69On88pe/ZOLEiWzbto1f//rXTRLZgwcP8t5777F8+XJuvfVWLr/8crZv347dbue9995r9Tlv6W/e3c6pzV9rvZOWl2oRQgghhBBChLD3cEXoResBrTV7D5eTMbLzlgtsaAGcPHkyhYWFAKxdu5bvfOc7AIwbNy44RnHDhg3s2rUr2F3U4/GQk5MTPNaNN97Y7Ph79+5lx44dzJkzBwi0TPbr1w+Ab3zjGzz11FPk5eXx9a9/nTfeeIMnnniC6Oho7r///uAxfvazn/HII4/w2GOPhXwMa9euDY4nnTdvHomJicG6oUOHBsdgNn6MjVksFi655BJ2797Nxo0b+d73vsdnn32G3+9nxowZOBwO8vLyWLRoUXCfhqT5+PHj3HjjjRQVFeHxeBg6dGhwm/nz52O325udb/r06fzud79jxowZTJkyheHDh3PgwAFKSkpwOBwMGzaMtWvX8uabbwJwxRVXUFZWRlVVYHGSL33pS1itVsaPH4/f72fevHlAoKtvYWFhq885hP6bd7ewk9D6ZVHG19/N01qXNqpLBRpekdu11oc7LkQhhBBCCCEuDOXVrmAL6Nl8fk1FtatTz2+z2QAwm834fD4gkPyGorVmzpw5vPrqqyHro6OjQ+4zduxY1q9f36xu1apVLFu2jCuvvJIHHniA++67j7179zabOOmKK67g5z//ORs2bGgxrrYeHwQeo9PpDLndjBkzWLFiBVarlauuuoo77rgDv9/PE088gWEYJCQkUFBQ0Gy/Bx54gO9973vMnz+f1atXs2TJkmBdw/Px9ttvB1sc/+///o/s7Gw2bdrE2rVrg0n8wIEDee2118jNzW3xMdWvFBJ8TCaTCavVGiw3mUz4fL5Wn/PG+zf+m3e39nTHfQh4G/gLUHdWnQN4vr7+5x0TmhBCCCGEEBeWpLhILJbQX8EtZkViXGQXRxToYvqPf/wDgF27drF9+3YAsrOzWbduHQcOHAACY0f37dvX6rFGjhxJSUlJMCHyer3s3BnoQJmRkcHf/vY3AB5//HFWrVqFzWZj0KBBzY7z0EMPNenq2lK8K1eupKKios3HGBsbS01NTfD+zJkzefrpp8nJySE1NZWysjL27NnD2LFjiYuLY+jQobzxxhtAIEHcunUrAFVVVQwYMACAl156KeS5Fi5cSEFBAQUFBWRlZREbG8ugQYNYunRpMAnNycnh6aefDiahM2fO5JVXXgEC419TUlKIi4tr83FB6895T9WeJLRh2qZ3tdZNklCttRN4h8AERZd1UGxCCCGEEEJcUEYOTUS1UKeUYuTQpHM+dl1dHQMHDgz+NB6/2Zr77ruPkpISMjIyeOyxx8jIyCA+Pp7U1FSWLl3KzTffHJwwp2GCnpZERESwbNkyfvSjHzFhwgQyMzOD4x//+te/8vLLL5ORkcGsWbP4r//6L/x+f8g4r7nmGlJTQ3dL/uUvf8nKlSuZNGkSK1asoF+/fsTGxrYa1x133MG9995LZmYmTqeTadOmUVxczMyZM4FAgpyRkRFsZXzllVf485//zIQJExg7dizLly8HAhMFLVq0iBkzZpCSktL6E9vI9OnTcbvdwYQ7JyeHQ4cOBZPQJUuWkJ+fT0ZGBj/+8Y9bTHBDae0576lUa83ZTTZUqgqIAX6ptW42ZZVS6mfArwCH1jq8tL2HysrK0g0zggkhhBBCCNGW3bt3M3r06LC2PXaqmn9+dACtNT6/xmJWKKVYcOUlDOrb9V+j/X4/Xq+XyMhIDh48yJVXXsm+ffuIiIjo8ljC4Xa7MZvNWCwW1q9fz7e+9a2QXWdF+EK9fpVSm7XW574uTivaMzGRtf62Xwv1DeUdv8CREEIIIYQQF4hBfeO4e9EE9h4up6LaRWJcJCOHJmGLMHdLPHV1dVx++eV4vV601vzv//5vj01AAY4ePcrXvvY1DMMgIiKCF154obtDEu3UnoTxNDAY+JpS6ueNl2NRSiUBixptJ4QQQgghhGiBLcLcqbPgtkdsbCy9qRfgiBEjgkusiN6pPUnoJgJJaBKwWSn1JHAYGAosBlIADWzs6CCFEEIIIYQQQlwY2pOELgW+Wv/7EODpRnXqrO2EEEIIIYQQQohmwp4dV2v9HvAmgYSzYTajhuSz4f4yrfW/Oy48IYQQQgghhBAXkvYs0QJwM/As4ONMAqrq7z8D3NpxoQkhRHPaZ+AtqcVzrApfZegFqIUQQgghRM/VriRUa+3TWn8XSAOuIZB0XgOkaa0Xa629HR+iEEIEGC4ftZuOU/bSFspf207ZXwtwF7a9QLUQQghxMTCbzWRmZgZ/CgsL232MpUuXcvLkyY4Prg1bt24lMzMzeP/VV18lKioKrzeQXmzfvp2MjIwuj0t0jnNaTkVrXQW838GxCCFEq7wltTjWHg3e124/le/sJfk/MrEkRHZjZEIIIUT7aa8ff60Xc7QVZT3/5Vnsdvt5r5e5dOlSxo0bR//+/c87nrb4fD4slkA6Mn78eI4cOUJNTQ2xsbHk5eUxatQotmzZwtSpU8nLy2P69OmdHpPoGi22hCqlBtf/xJx1v82frgtfCHEx8ZfWNSvTLh+Gw90N0QghhBDnRhua6o8PUfw/n1O29AuK/+dzqj8+hDZ02zu3U0FBAdnZ2WRkZLBw4UIqKipaLF+2bBn5+fnccsstZGZm8umnn3L99dcDsHz5cux2Ox6PB5fLxbBhwwA4ePAg8+bNY/LkycyYMYM9e/YA8M477zBt2jQmTpzIVVddRXFxMQBLlizh7rvvZu7cudx2223BOE0mE1OmTOHzzz8HYPPmzdx///3k5eUBkJeXR25uLuXl5SxYsICMjAyys7PZtm1b8Li33347c+fOJT09nbfeeosf/vCHjB8/nnnz5gVbVDdv3sysWbOYPHkyV199NUVFRQDMnj2bH/3oR0ydOpVLL72UNWvWdPjfQpzRWnfcQgJLsHzzrPtt/RzqnFCFEBc7U2yIhbNNChV5Tp06hBBCiG5Rs/owdVtPgc9Aew3wGdRtPUXNp4fP67hOpzPYFXfhwoUA3HbbbTz22GNs27aN8ePH8/DDD7dYfsMNN5CVlcUrr7xCQUEB06dPD67HuWbNGsaNG8emTZv4/PPPmTZtGgB33303zz33HJs3b+aJJ57gvvvuA+Cyyy5jw4YNbNmyhZtuuonHH388GOfmzZtZvnw5f//735vEn5ubS15eHrW1tZhMJmbPnt0kCZ0+fTq//OUvmThxItu2bePXv/51k0T24MGDvPfeeyxfvpxbb72Vyy+/nO3bt2O323nvvffwer088MADLFu2jM2bN3PnnXfy0EMPBff3+Xxs3LiRp59+Ovg8ic4Rzjc31cZ9IYToEta0GKwD4vCeqA6Wxc4YgiXR3o1RCSGEEOHTXn8wAW3CZ1BXcIrYy4acc9fcs7vjVlVVUVlZyaxZswC4/fbbWbRoUYvlZ7NYLFxyySXs3r2bjRs38r3vfY/PPvsMv9/PjBkzcDgc5OXlNdnX7Q70Tjp+/Dg33ngjRUVFeDwehg4dGtxm/vz52O3N/3dPnz6d3/3ud8yYMYMpU6YwfPhwDhw4QElJCQ6Hg2HDhrF27VrefPNNAK644grKysqoqqoC4Etf+hJWq5Xx48fj9/uZN28eEOjqW1hYyN69e9mxYwdz5swBwO/3069fv+D5G1p9J0+efE7jaUX42tt8IAmoEKLbmONsJFw7Eu/pWoxaD5YkO5bUaJS5vRN9CyGEEN3DX+tFqTPrGzamVKDeknD+40M7yowZM1ixYgVWq5WrrrqKO+64A7/fzxNPPIFhGCQkJIQch/rAAw/wve99j/nz57N69WqWLFkSrIuOjgbg7bffDrY4/t///R/Z2dls2rSJtWvXkpOTA8DAgQN57bXXyM3NBUDr5s+cUoEUxWazAYGuvVarNVhuMpnw+XxorRk7dizr168P+Vgb9jebzfh8vvY+VaIdWvvm9p/AncCKRvfD+bmzs4IVQghzrI3I4UlEZfQlYmA8Jpt0xRVCCNF7mKOthMijANA6UN9R4uPjSUxMDI5vfPnll5k1a1aL5QCxsbHU1NQEjzFz5kyefvppcnJySE1NpaysjD179jB27Fji4uIYOnQob7zxRn38mq1btwKBVtgBAwYA8NJLL4WMb+HChRQUFFBQUEBWVhaxsbEMGjSIpUuXBpPQnJwcnn766WASOnPmTF555RUAVq9eTUpKCnFxcWE9HyNHjqSkpCSYhHq9Xnbu3Bnmsyk6Uovf3rTWL7V2X/RcRm0VqvwU+Nzo2GRMKQO6OyQhhBBCCAEoq5moCX2bd8m1mIjK7Nshs+Q29tJLL3HvvfdSV1fHsGHDePHFF1stv+OOO7j33nux2+2sX7+eadOmUVxczMyZMwHIyMggLS0t2Mr4yiuv8K1vfYtHHnkEr9fLTTfdxIQJE1iyZAmLFi1iwIABZGdnc/hweONdp0+fzvLlyxk0aBAQSEJ/+tOfBpPQJUuW8J//+Z9kZGQQFRXVYoIbSkREBMuWLePBBx+kqqoKn8/Hd7/7XcaOHRv2MUTHUKGatJttpFQssLX+7mda6zs6M6julpWVpfPz87s7jHOiTx3G+OwfcHxfoMAei5pxA1wyCVNkVPcGJ4QQQghxgdq9ezejR48Oa1ttaGo+PUxdwalA11wNUZl9iZ01FGWS0W+i64V6/SqlNmutszrjfGH1Y9Na1yil+gCRBGbAFT2QUV6MXvECVBSfKXTWoFe+iIqKhWETui84IYQQQggBgDIp4i4fRuxlQzp0nVAheov2zOaxt/42vE7XouuVnWiagDaiCz7B8MhaikIIIYQQPYWymrEkREoCKi467UlC/5fA7LjXK6UkEe2JXLUt11WeBndd18UihBBCCCGEECG0Z1rJfcAaYAbwhVLq98AeoFnmo7X+rGPCE+0SHd9yXZ90iIzuslCEEEIIIYQQIpT2JKGfcGZJo2HAEy1sp9t5XNFRUgbAgBFwYn/TcpMZ0/gZKGtE98QlhBBCCCGEEPXOZYV3zZlkVDX64azfRRczxSVjuuIWVMYssNSvMZU2BHXdA+j+I7o3OCGEEEIIIYSg/Umoonni2bhOdDOVOghmfx11008x3fwz1IIHMQ0dj8kijdNCCCGEEBeyxYsX8/TTTwfvX3311dx1113B+9///vd58sknQ+67dOlSTp482erxly5dyre//e0OibXBxIkTKSgoAMDn8xEdHc3f/va3YP3kyZP54osvOvScovu1Jwm9PMyfKzo4RtFOJosFU9pgVL+hmGISujscIYQQQgjRBXJzc8nLywPAMAxKS0vZuXNnsD4vL4/p06eH3DecJLQzNI5569atjBw5Mni/traWQ4cOMWGCLDN4oQk7CdVafxruT2cGLIQQQgghRG/n8lWxreQ1Pjn2/9hW8jouX9V5H3P69OnBBG7nzp2MGzeO2NhYKioqcLvd7N69mw8++IApU6Ywbtw47r77brTWLFu2jPz8fG655RYyMzNxOp1s2rSJ3NxcJkyYwNSpU6mpqQHg5MmTzJs3jxEjRvDDH/4weO6VK1eSk5PDpEmTWLRoEQ6HA4Af//jHjBkzhoyMDP7rv/6r1Zjz8vK49957gy2jGzduZNKkSZjNZp588knGjRvHuHHjgq29hYWFjBo1irvuuotx48Zxyy23sGrVKqZPn86IESPYuHEjEEhm77zzTqZMmcLEiRNZvnw5EEi8r7/++pCPR3SucxkTilLKpJQapZTKUUqNVkqd03GEEEIIIYS42Lh8Vawo/D67K/7Fqbpt7K5YzorC7593Itq/f38sFgtHjx4lLy+PnJwcpk2bxvr168nPzycjI4Nvf/vbbNq0iR07duB0Onn33Xe54YYbyMrK4pVXXqGgoACz2cyNN97IM888w9atW1m1ahV2ux2AgoICXn/9dbZv387rr7/OsWPHKC0t5ZFHHmHVqlV88cUXZGVl8eSTT1JeXs7bb7/Nzp072bZtGz/72c+axdy4JTQvL4+ZM2dis9moqakJttxu3ryZF198kc8//5wNGzbwwgsvsGXLFgAOHDjAd77zHbZt28aePXv4+9//ztq1a3niiSf49a9/DcCjjz7KFVdcwaZNm/jkk0/4wQ9+QG1tbYuPR3S+diWPSqkopdQTQDmwE1gL7ADKlVK/U0rFdEKMQgghhBBCXDD2VazAY9RhaC8AhvbiMerYV7HivI/d0LLYkITm5OQE7+fm5vLJJ58wbdo0xo8fz8cff9yku26DvXv30q9fP6ZMmQJAXFwclvr5Ra688kri4+OJjIxkzJgxHDlyhA0bNrBr1y6mT59OZmYmL730EkeOHCEuLo7IyEjuuusu3nrrLaKiopqdKz09HY/Hw6lTp9izZw8jR45kypQpfP7558GY165dy8KFC4mOjiYmJobrr7+eNWvWADB06FDGjx+PyWRi7NixXHnllSilGD9+PIWFhUCglfa3v/0tmZmZzJ49G5fLxdGjR1t8PKLzhT1bjVIqDvgUyKD5JERxwHeBK5VSs7TW59+fQAghhBBCiAtQmWt/MAFtYGgvZa79LewRvoaWxe3btzNu3DgGDRrE7373O+Li4rjzzju56667yM/PZ9CgQSxZsgSXy9XsGFprlAo956jNZgv+bjab8fl8aK2ZM2cOr776arPtN27cyEcffcRrr73G//zP//Dhhx8yefJkAObPn8+vfvUrcnJyWLZsGf369UMpRXZ2NuvWrWPjxo1kZ2ezZ8+eFh9v43hMJlPwvslkwufzBR/Pm2++yciRI5vs+/nnn4d8PKLztacl9GGgYVSwPqtOE0hMxwNLwj2gUuovSqnTSqkdjcqSlFIfKqX2198mNqr7iVLqgFJqr1Lq6kblk5VS2+vrnlX17xqllE0p9Xp9+edKqfR2PF5xEdCGxldWh/toJd7SWrTf6JTzeIoduPaX4j5eheHytr3DWbTPwFtSi/toJb4KJ1qf/RbsGQyPH2+xA/exSnzVzf+pdcg5XF7cx6tw7S/FU+zolHOI9vFXu/Acq8JzqgbD4+/ucLqVr8qF+1gl3mLHRf9cCCFalhx5KSZlbVJmUlaSIy8972NPnz6dd999l6SkJMxmM0lJSVRWVrJ+/XpycnIASElJweFwsGzZsuB+sbGxwXGfo0aN4uTJk2zatAmAmpqaVpOzhqTxwIEDANTV1bFv3z4cDgdVVVVcc801PP3008GuvgUFBRQUFPCrX/0qGPNTTz0VjC8nJ4e//vWv9O3bl4SEBGbOnMk///lP6urqqK2t5e2332bGjBlhPydXX301zz33XPD7U0NXXtF92rNuxw2cSTb3A68BxUAf4CZgRH3dDcDiMI+5FPgf4K+Nyn4MfKS1/q1S6sf193+klBpTf56xQH9glVLqUq21H/hf4G5gA/BvYB6wAvgGUKG1vkQpdRPwGHBjOx6zuIBpv4FrXxlV7+8HnwEmRdxVw4gck4bJau6w87j2lVK1Yj/a4wcFUVkDiJrcD0tsZFj7Gx4/dVuKcKwpBA3Kaib+2kuxDUtq8Spld/DXenCsO4JzazEApigrCQtHE9E/rsPO4atxUbe5iLr8E4HnIsJM/JdGEHlpSoedQ7SPt6iGird3YdQGLq7Yx6URM2MI5hhbG3teeDwnqqn8526MuvrnIrMfMbmDMEdHdHNkQoie5tLEeRys+jDYJdekrESYorg0cd55H3v8+PGUlpby9a9/vUmZw+EgJSWFb37zm4wfP5709PRgd1uAO+64g3vvvRe73c769et5/fXXeeCBB3A6ndjtdlatWtXiOVNTU1m6dCk333wzbrcbgEceeYTY2Fiuu+46XC4XWmueeuqpkPtPnz6dxYsXB5PQfv364ff7yc3NBWDSpEnccccdTJ06FYC77rqLiRMnBrvbtuXnP/853/3ud8nIyEBrTXp6Ou+++25Y+4rOocJtUVFKuQArUADkaK09jepswHogE3Brre1hBxBonXxXaz2u/v5eYLbWukgp1Q9YrbUeqZT6CYDW+jf1231AoNW1EPhEaz2qvvzm+v3vadhGa71eKWUBTgGpuo0HnZWVpfPz88N9CKKX8pbWUvZSARhNXw5J/zGBiL6xHXOO07WUv7YN7W7aIpKwcDSRlySHdQzP8SrKX93epExZTSTfPhFLYthvtU7n2l9K5T+bdpcxJ0SS9PWMDvsS7jpQRuXbu5uUKZuZxJvGE5EmQ9K7muH0Uv7adnyldU3K468diX1UajdF1T38tR7K/74Nf2XTHgDtea8LIXq33bt3M3r06LC3d/mq2FexgjLXfpIjL+XSxHlEWuI7MUIhWhbq9auU2qy1zuqM87WnJfQIcAnwTuMEFEBr7VZKvUMgCS08z5j6aK2L6o9bpJRKqy8fQKCls8Hx+jJv/e9nlzfsc6z+WD6lVBWQDJSeZ4ziAuCvdjdLQAH8VS7ooCTUX+NqloAC+Mqd4R+jKsRYDa+Bv8bdo5JQz7HmQ8H9lS6MWk+HJaH+EM+bdvsxatwgSWiX89d6miWgAO7CiosuCTVqPc0SUAi8LyQJFUKEEmmJJyP1pu4OQ4hu0Z4xoX8j0N12WAv1w+tvl55PQK0I1e9Qt1Le2j7ND67U3UqpfKVUfklJyTmGKHoTk90astwc1XFd50x2K5iavwzNMeGfwxQqHgWmyNDxdxdLSnSzMhVpQdnac62rdabYEM+FSfW45+JiYbJZMEU1f+6tF+EFAWWzoGzNu/GHel8IIYQQF7v2JKGPAR8BX1dK/VQpNVApZa2/fYjAeM13gCfOM6bi+m641N+eri8/DgxqtN1A4GR9+cAQ5U32qe+OG09geZlmtNbPa62ztNZZqakX1xX8i5UlOYqorP5NymyjU7AkN58+/JzPkRpFTM6gJmXW/rFY2vEl3ZIWRcTQxCZl0dMHY0kKb0xpV4kYFI85qWnLbNxVw7HEd1ycltQYrP2btlLH5AzCktZxfzMRPnOsjbg5w5uWJdiwpSe2sMeFyxIfSdxVZz0XKVFEDOq4MdFCCCHEhaI9TRQN/eAU8P/qfxpTwFcAz1mTpWitdXvO8y/gduC39bfLG5X/XSn1JIGJiUYAG7XWfqVUjVIqG/gcuA147qxjrScwYdLHbY0HFRcPU4SZ6OxB2IYn4a92Y46JwJIaHbJl55zPYbVgn9AXS98Y/JUuTFFWLKnRWNuR6JqjbcTPuwRfSS3+Wi+W+EgsqdEoS8dNntQRLIl2Em8Yi6+kFu3yYU6OwprSscmhNSWKuHkj8JXUYtR5MSdEYu0Tg8naca2ton1sw5JI/o8J+MrqUBEWLGnRHXrhoTeJHJGM+dYJ+MvqUJH1z0XcxflcCCGEEK1pzzc3RaAr67l0gQ19QKVeBWYDKUqp48AvCSSf/1BKfQM4CiwC0FrvVEr9A9gF+ID762fGBfgWgW7AdgKz4jas9Ptn4GWl1AECLaDS8V40YbZbMQ9O6NxzREdgHpZ0fseIsfWK2UYt8ZGdnoBYk6PalcSLzqUsJqx9Y7F20Djq3kxZzUT0i4V+8lwIIYQQrWlv80FrCWa714rQWt/cQtWVLWz/KPBoiPJ8YFyIchf1SawQQgghhBBCiO7XniT04U6LQgghhBBCCHFezGYz48ePD97/5z//SXp6evcFdJ6eeeYZDh8+zNNPPw3APffcw8GDB4Nrlj733HPs37+fZ599thujFOci7CRUay1JqBBCCCGEED2U3W6noKAgZJ3WGq01JlN75iVtyufzYbF03TwMubm5vPLKK8H7BQUFGIaB3+/HbDaTl5fHggULuiwe0XHO/VUohBBCCCGEOHfaB77SwG0nKCwsZPTo0dx3331MmjSJY8eO8a1vfYusrCzGjh3LL3/5y+C2//73vxk1ahSXXXYZDz74IF/5ylcAWLJkCXfffTdz587ltttuo7CwkBkzZjBp0iQmTZpEXl4eAKtXr2b27NnccMMNjBo1iltuuYWG+UA3bdpEbm4uEyZMYOrUqdTU1OD3+/nBD37AlClTyMjI4E9/+lOz+CdOnMi+fftwOp1UVVURFRVFZmYm27dvByAvL4/c3FwKCgrIzs4mIyODhQsXUlFRAcDs2bNZvHgxM2fOZPTo0WzatInrr7+eESNG8LOf/Sx4nr/97W9MnTqVzMxM7rnnHvz+wLQzMTExPPTQQ0yYMIHs7GyKi4s74a90cZIkVAghhBBCiK7mLICDl8PhawK3zoLzP6TTSWZmJpmZmSxcuBCAvXv3ctttt7FlyxaGDBnCo48+Sn5+Ptu2bePTTz9l27ZtuFwu7rnnHlasWMHatWspKSlpctzNmzezfPly/v73v5OWlsaHH37IF198weuvv86DDz4Y3G7Lli08/fTT7Nq1i0OHDrFu3To8Hg833ngjzzzzDFu3bmXVqlXY7Xb+/Oc/Ex8fz6ZNm9i0aRMvvPAChw8fbnJei8VCZmYmmzZtYsOGDUybNo3s7Gzy8vI4efIkWmsGDRrEbbfdxmOPPca2bdsYP348Dz98pgNnREQEn332Gffeey/XXXcdv//979mxYwdLly6lrKyM3bt38/rrr7Nu3ToKCgowm83B1tfa2lqys7PZunUrM2fO5IUXXjjvv5EIkHUNhBBCCCGE6EraByceAKOm/r4ncH/4alDnvgTb2d1xCwsLGTJkCNnZ2cGyf/zjHzz//PP4fD6KiorYtWsXhmEwbNgwhg4dCsDNN9/M888/H9xn/vz52O2BtcC9Xi/f/va3gwnbvn37gttNnTqVgQMHApCZmUlhYSHx8fH069ePKVOmABAXF1g/eeXKlWzbto1ly5YBUFVVxf79+4MxNJg+fTp5eXk4nU5ycnIYMWIEv/71r0lNTSU3N5eqqioqKyuZNWsWALfffjuLFp2Zl3T+/PkAjB8/nrFjx9KvXz8Ahg0bxrFjx1i7di2bN28Oxud0OklLSwMCCWxDi/DkyZP58MMP2/kXES2RJFQIIYQQQoiu5K8E7W5apt3grwBLSoeeKjo6Ovj74cOHeeKJJ9i0aROJiYnccccduFyuYLfZcI7x1FNP0adPH7Zu3YphGERGnlmazWY7s5yc2WzG5/OhtUap5otoaK157rnnuPrqq5uUP/TQQ7z33ntAYAxobm4uf/rTn3C5XNx///2kpqaya9cuUlNTmT59epuPvyEmk8nUJD6TyRSM7/bbb+c3v/lNs32tVmsw9obHIzqGdMcVQgghhBCiK5kTQJ21/reygTmxU09bXV1NdHQ08fHxFBcXs2LFCgBGjRrFoUOHKCwsBOD1119v8RhVVVX069cPk8nEyy+/HBw/2ZJRo0Zx8uRJNm3aBEBNTQ0+n4+rr76a//3f/8Xr9QKwb98+amtrefTRRykoKAi26Obm5rJhwwZKSkpIS0tDKUVqairLly8nNzeX+Ph4EhMTWbNmDQAvv/xysFU0HFdeeSXLli3j9OnTAJSXl3PkyJGw9xfnRlpChRBCCCGE6ErKAgOeC3TB1e5AAjrgufPqihuOCRMmMHHiRMaOHcuwYcOCLYl2u50//OEPzJs3j5SUFKZOndriMe677z6++tWv8sYbb3D55Zc3aSUNJSIigtdff50HHngAp9OJ3W5n1apV3HXXXRQWFjJp0iS01qSmpvLPf/6z2f6JiYmkpqYyduzYYFlOTg7r1q1jwoQJALz00kvce++91NXVMWzYMF588cWwn5MxY8bwyCOPMHfuXAzDwGq18vvf/54hQ4aEfQzRfqqt5veLUVZWls7Pz+/uMIQQQgghRC+xe/duRo8e3b6dtD/QBdec2OkJaFscDgcxMTForbn//vsZMWIEixcv7taYRNcJ9fpVSm3WWmd1xvmkO64QQgghhBDdQZkDY0C7OQEFeOGFF8jMzGTs2LFUVVVxzz33dHdI4gLWYndcpdTMcz2o1vqzc91XCCGEEEII0bUWL14sLZ+iy7Q2JnQ1cC59dXUbxxVCCCGEEEIIcZEKJ1lsPqdyaLod24pOZBgGVBSh/H50dAKm6LjuDkmIHkUbfqipAG1ATALKEtHdIQkhhLgAtLQciRA9WXfMEdRWEtqed5G843oAo+Q47MpDb/sU7XXBgBEY2fNh0ChMJhkC3B201vgrXfhr3JgiLZgT7Zis3T/2ozMYHj++8jq0x485PhJLfGTbO3UxXVGMLvgIve1T8PvhkkmYsr+CShvc3aH1Wr5qF/5KF8pqxpJkx2S7eDvDeEscgefCZsGSHIU5+sK8wGF4/fgrnBguH+ZYG+aESPniLS56kZGRlJWVkZycLO8H0WtorSkrK2uy3mtXaO2bwuVdFoXoEEZ1GXr1a3Bs95nCE/vR/3wG0/WLYdCo7gvuIuYprKRy+R60N7COVnTOIKKy+mOOtHZzZB3L7/DgWHsE5/ZiAJTdQuLCMUQM6Dkt8bqmHONfv4eyE2cKD2zGOLYb040/RqUM6L7geilPUQ2Vb+3CqAus8xY5JpXYWemYY2xt7HnhcRdWUPnuXrQzsJh55JhUonMHY020d3NkHcvv9FKXf4LaDccBUBFmEuaPwja0c9c3FKKnGzhwIMePH6ekpKS7QxGiXSIjIxk4cGCXnrPFJFRr/WlXBiI6QNnJpgloA78PvWMtut9wTJYLK/Hp6XyVTirfOZOAAtSuP0bE4HjMgxO6L7BO4D1ZHUxAAbTTR9W/95H09Yye0xpUcqxpAtrAXYc+skOS0HYy6rxUrdgXTEABXLtKsA1Pwj4qtRsj63reCifVKw8EE1Cofy7SEy+4JNR3ujaYgAJoj5/Kd/eS/B+ZWBJ6Xu8HIbqK1Wpl6NCh3R2GEL2C9M+8kDgqW6zSRYfA6ei6WAQAhsODdvublfvKnN0QTefyHK9qVuavdGHUerohmtB0xemW6wp3dmEkFwZ/nQd/iNeyu7CiG6LpXkaNG3+Vu1m550R1N0TTuXxldc3KtMuH4Wj++IUQQohQWlui5Rf1v67UWm9odL9NWutfnXdkov0io1qui08Bm1yh7momuxVMCoymA77NcT2kZbADWVKjm5WpSAuqJ40PjIlvsUrGhLafyWbBFG3FqPU2Kbf2ie2miLqPyW5BRVrQLl+TcktKK5/LvZQ5LkRXa7MKfN4JIYQQYWjt2+ESAjPeOoANje6HQ5LQ7pA8IJBsVpU2q1ITLscUcWF1CesNzAmRxM5Op+bjw8GyiMHxWNNiujGqzhExKB5zShT+0jOtJHFzhveoyYlU2hC0zQ7us1rvlAl1yaTuCaoXM8faiJtzCZXLdwf/O5gTI7GlJ3RrXN3BmhpD7Kx0qj84ECwzJ9uxDuw5Y6I7irVPDBGD4vAcO9PKGztrKOYLrNuxEEKIzqNampJXKWUQ+FrxA631k43ut3o8QGute/XUn1lZWTo/P7+7wzgnuuggxkevwOkjgQKbHTX9ehg5FZP9wkt8egPD7cNXWoe/wokp2oolNfqCnbTFV+XCV1KLdvuxJNuxpESjLD2r178uOoSx4s9QeSpQEBWHae4dkD4OZerVH13dQvsNvCW1+MudqAgzltToHnXhoSsZLi/e4vrnwmbGkhaNNaV5D4ELgd/hxldSi1HnxZxgx5IahSmiB/V6EEIIcd6UUpu11lmdcuw2klCA/2qUhIZDktBuZtRUoMqLwOdGx6VgSh3U3SEJ0aPoumqoPA2GAXEpqLik7g5JCCGEEKJH6cwktLXZcU2t3Rc9lyk2EWIDU+XLKlVCNKei4iDqwusmKYQQQgjRG0hiKYQQQgghhBCiy0gSKoQQQgghhBCiy7R7FgGl1PXAl4CBQKjZVbTW+srzDUwIIYS42Gi/ga/CiVHrDUxklmhHmeV6segZ/DVufJUulElhSbLLsjxCiHMWdhKqlDIB/yKQgLa4GeEv4yKEEEKIetrrx7mrhOpVBwNrC5sVcXMuwT46tcfNMt0V/NqgxOmgzufGbo4g1R6DRWaw7jbeklpK95+iOibwNS+x2ErSsD5YEi7O2bCFEOenPS2h3wCuIZBknj3fjSSeQgghxHnwlTupXnlmnVH8muoP9mPtE31Bri3cmnJXLR+f3MsnJ/fh0wYmpZjeZzhXDxxDqiw31uW8Hi+7607zhmUnp6scAPSLjONrTjMj4/tjVhffRRIhxPlpz6fGTY1+P1F/q4FNgLf+/mbgsw6ISwghhLio+KtdzQs1+KvdXR9MN3J6PSw7/AUfntiDTwdWhzO0Zs2pA7y8fwM13hDPk+hUhx1l/OHoek67HcGyIlc1zx1cQ2F1WTdGJoTordqThI4jkHS+AzzdUKi1ngZMBKoItKxe14HxCSGEEBcFU1REC+UX17i7U85qNpceC1m3t+o0RbVVXRzRxc3l8/LeiV0hu7wZWvPxyT14/f4uj0sI0bu1JwlNqL/dwlndb7XWu4GlQAbwaEcEJoQQQlxMzMl27BP6NimzT+qHJSmqmyLqHmXu2lbrS1yOVutFx6r1udlbWdxi/Y6KUzh8F1drvRDi/LVnTKi7fnsnEOwLo5Tqp7UuAhwExoouAB7owBiFEEKIC5450krMjCFEjkrBqPFgio3AkhqNKbLdE9n3atY2Jh+ymS+u56O7mZQJu8VCnc8bst5uscqYUCFEu7XnU6O8/jYeON2o/L+VUguAO+rvp55/WEIIIcTFx2y3YhucgH1sGrbBCZgvwiUw+kbFYTOFTjRNStE/Kr6LI7q4JdqiuLL/qBbr5wwYRVyEzJArhGif9iShR+pvU4EvGpXfDLwJDKi/f7wD4hJCCCHERSgtMpY7R+ZgOmsifgXcNmIafexx3RPYRWxqWjoDoxOalQ+LTWFC8sCuD0gI0eu1p0/LZmAGkKW1PqSUWgtcRtPxoRp4oQPjE0IIIcRFRCnF+KQB/ChzLl+UHuNQTSlDohOZlDqEwdEJmE3S9bOrpdljuW/MTA5Wl7L+9GFMKHL7DGNobDJJkdHdHZ4QohdqTxL6DPAR4Ku/fyvwTyCz/r4B/BF4vINiE0I0omsqwOcGWzQqKra7wzln2uMGdy1YbCh753x50a46cFaD2YqKS25e7/dBTQVoA2ISUFZbu47v9fsodtZQ6q7Fokz0tceRImsX9nra5wNHBaAhJhFlufi6wnYk7aoFZ02L78PWmE0mkiOjmZQyiHGJ/bCazCRHRmNt53jQMpeDU3XVeAw/ibYo+trjiJS/6zlJjowhOTKGKalDUOrs5eKFEKJ9wv4011of4UyXXLTWR4FJSqkRQApwQGtd0lGBKaUWA3cRaF3dDvwnEAW8DqQDhcDXtNYV9dv/BPgG4Ace1Fp/UF8+mcDMvXbg38B3tNahZhoXolMYhoG/pA5/lQtlt2JOicLSjnFeurYavX8zev3ywBe6pH6YZi6CQaPanTx1Nr/Dja/MiXb7MCfYsaadSTK13wdFBzE2vAtFByE+BZU9HzV4NKodV9INrx9/hRPD6cMcZ8OcEBn8QqT9Pjh5AGPNMjh1GCLsqCnzUGNyUbFJgW3KT6G3rELvWAN+PwyfgCnnOlTa4LDOX+V28uGJ3aw6sRdd3xEkymLljktzGJd0cS7a7qtyBV7fVjOWJDsmW++bOEaXnsDY9D7s2RAoGDkV09QvoVKkq2F7ab8PTtS/D4sPg82OmnINanR28H3YlqLaKv68N49jtRXBsj72WO4edRkDYxLbjkFr9lYV88KedTi8Z2ZuzUoZxPVDJ5IcKReNzpUkoEKIjqDCzceUUrfV/7qpfkmWs+ttQDSA1rr87Pp2BaXUAGAtMEZr7VRK/YNAAjkGKNda/1Yp9WMgUWv9I6XUGOBVYCrQH1gFXKq19iulNgLfATbUH+NZrfWK1s6flZWl8/Pzz+chCBHk3FtC9Yr9aG9g0fWoSf2ImjIAS1zbEzlovw/9+XvoDf9qVmda8B3UsIwOj/dcecvrcKw7intPKQAq0kLCtSOxpQe+MOqjezDefALO+sxRs25ETboKFUby5nd6qdt0gtrPA0PPldVEwvxR2IbVJ5gn9mP84/FAC2djo3MwXXkruOsw3noKyk42rbfZMd34E1TKANry4fHdLDu8pVm5CcUPJ8xhaFxKm8fobbTPB14nWCObtQ56TtZQ8dZOtDPQScY2OoW4WUMxx/asCySt0ZWnMf7x3+A4619XdDymr/0IldinewLrpQLvw8eavdcZOx3T5V9HtTGJTbXHydPbP+ZEXfP1QJNsUfwgY06bXUCP11by24IP8BrN16+c2fcSbhw+GUsbs/AKIcTFTim1WWud1RnHbs8l+6XAi8CXWqj/NlBC05lzz4cFsCulLARaQE8C1wEv1de/RGA5GOrLX9Nau7XWh4EDwFSlVD8gTmu9vr7186+N9hGi03lOO6j+4EAwAQWo+6IIX3Hr6+AFVZ5Gb/p3yCpjzRtoZ89ZL897siaYgAJol4/qDw/irXSiXXWBVpEQF730urehMryPDd/p2mACCqC9BpXv7sVX6UR7PYGWrLMTUIDd66G8CEqONU9AAdxOdOH2Ns9f6nLw72M7QtYZaDaWHOFC6mihfd5AQrHiBYy/P4Kx4gX08X3o+qUa/HVeqt7fF0xAAdy7S/Ecr+6ukM+JLjrUPAEFqK1CFx3s+oB6Me11Y2z8d8j3OjvXQUXL6002KKqrDpmAApS76zjZQl1jeypPhUxAAdYWH+S0s6bNYwghhOg8Hd1vTNX/nBet9QngCeAoUARUaa1XAn3q1ySl/jatfpcBwLFGhzheXzaAprP1NpQL0SWMGjfa3fyLkK/CGd4B6qrB7wtdV3YSXGEms13Ae6J54uGvdKEdnkA34uLDoXf0ecDR9pdKAH958+dNu/0YDg+466DoQMs711ahK1pOdvWRXW2ev87naXGtPIAD1afxtPDFt6XjlbocVLnDfD10tWN7MF5/DPbnQ1Up7N8caGk+GugMY9R58Jc1j919pKJZWY9WXNhy3UlJQtvFXRfobt+S2so2D1HtdbVaX+Vp+/1yqLq0xTpD6yZddIUQQnS9jhy4E96AqjAopRIJtG4OBSqBN5RSt7a2S4gy3Up5qHPeDdwNMHhwhz0UcZEz2a1gVuBv+rIzx0aEdwBbFIGXcYiXbXQ89KAxoZaUqGZlym5BRVrAEgGR0S0nzRHhPQ5TXIjtzApTpBWsChLSoKXWYVsUxCS0eOxwxoTaTBYsyoQvVGsrkBYZhzWMmTvdPi/7q0/zryPbOeooJ9YaybxBY5iYPKjHzDSpa6swPv47zV97GuPjVzD1GYLJFokp2opR2zQxt/btZRNnJfZtuS65X9fFcSGw2iA+teX3uq3558TZoiytfz5Gt1EP0K+NtUTtYRxDCCFE52n125JS6uOGn0bF32pcXv+zAbivvr4jLi9eBRzWWpdorb3AW0AuUFzfxZb624ZmjePAoEb7DyTQffd4/e9nlzejtX5ea52ltc5KTU3tgIcgBFhSo4iZ3jS5sQ6Mw5IWZqKR2AdGTglZpXIXoFpJqrqadVA85mR7k7LY2UOxpkSjYhNR074SeschYyEhvDF31rRoIoYkNDuHOTESZbNjmvrl0Dv2SYfkfoFEM9SXYGVCjZjc5vlT7DHM6HdJi/WX9R2OqY2xrVpr8kuP8tzOTzniKEcTaPn5x6Ev+PuBTVSH0crTJWqroKqFluPqUnBUYo61ETfnkiaX+8xJkdjO+hv1dGrAJYELJWezWFEDR3Z9QL2YskW1/F7vNxyS2k7q+9njSIiwh6yzm630D7Fe5dnGJ/VvsVtWRuIA0uy97EKJEEJcYNpqCZ1N08vgChhW/3O2huaaPR0Q11EgWykVBTiBK4F8oBa4Hfht/e3y+u3/BfxdKfUkgYmJRgAb6ycmqlFKZQOfA7cBz3VAfEKExWS1EDk+DWufGPyVgdlxLalRWJPabg0AUFYbpunXYygFezYCOvDFeOqXUcMndm7w7RSRFkPC/FH4SmrRHj/mRDvWPmdmoFQjpwTGuG5dTfBjZcAITFd8HWUL/YXzbOZYG/HXjMBXUodR58WcGIklJQplrk/8Bo5EXfkf6DVvgKe+S9/gMZiuuAVljwV7LKavfg/jg7+cGRsanYBpzu0QRkuoWZm4sv9IjjrKOXhWd7/r0zNJD2PmzxKXg38c2hyybnvFSU7UVhHXwhfwLmW2gjKFHmOrFNRPUGQblkjSf2TiL3eirCYsadFhTbrVk6iUgZiuX4zx/p8DCTZAXDKmq+8EmR233dSgkXDFreg1y6Cha236OEyzb0aFsZRRUmQ0946ewXM7P6XWd+a6dqTZwn1jZoWVQA6ITuA/L81h6b4NGI2+xgyISuCGYROxtXOpFyGEEB2r1dlxlVIGLXdrbck3tNYvnndgSj0M3EhgXdItBJZriQH+QaDr71FgUcNMvEqph4A767f/bsMMuEqpLM4s0bICeKCtJVpkdlzR02ivByqLwe2EqFhI6IPqhQu2a58Hyk+BozLQPTepb7uWZwnrHFpDVUngHFYbJKQ1S3J1XU2glc8wIC457GUjGlR5nJysreKooxy7xcqQmCT62uOxWdr+YruroohndnzSYv2XBo5hwdDMdsXTGbTPh7HqJdiV17xyVDamuXdccOto6trqwOtCAwkpqDBa3ERoWuvAhGO1VS2+D9tS4qzheG0lZe5aEiOiGBiTQB97XNj7+w2DU85qjjkqqPW56WuPZ0B0PAlhdAkWQgjRubPjtpWEruZMS+is+t8P03QSIAAvga6vb7S1/ElvIEmoEKKz7K44xdM7Pm6x/ppB47guvWcsvaMrigOtg40nmuk7FNOXvinLlgghhBAXuM5MQlu9bK+1nt0oiIY+WX/QWj/ZGcEIIcSFLiUyhiiLtcVZdkclpIUs7w4qsQ+m6x6AspNoZzXKHgfJ/VFRMp5OCCGEEOeuPYMiHq6/DdE3SwghRDhS7THcPHwKf97b/KM0K2UIA6ISuj6oVqioWIgaef5rbwkAtGEExp36/RAdj4qUrqFCCCF6Fu3zgqNzl1sLOwnVWjckoSilFDAaSAUOaq2Pt7ijEEJ0IMPrw1/uwnB5McdGBmbGVb0rRcpMHsji8Vfw/rFdHK4pJS7CzpcGjmVMYl9iInrXpD5dxV/jxlfhQpkVlqRITPbet8SGripBb/kIvW01+LzQdximmYtgwCWo+lmVtc/AV+nEcHgwxdiwJEaemXhLCCGE6GS69DjG5+/Bvk2dep52Tw+nlPox8H2gYSaPHyilDgEPEhgz+jWtdVnHhSiE6AhOr4cStwOv4Sc+wk5KZNuzVPY0fqeXuk3Hqf38BADKaiLh2lHYhrdvYqHuFmG2MCqhL0Njk6nzebGazMT0oDVfexrv6Voq3t6FUR2YKdU6KI74eSOwJPSAWYTDpOtqMD54EY7vPVN46hDGsicw3fhj6DcM7fXj3HWa6lWHwNBgUsTNGY59TBrKIomoEEKIzqUrijHefDIwqVwna1cSqpR6Bbip4S5nJi1aDyyrL/sy8NeOClAIcf6OOsp5/UA+B2oCy09EWyJYmJ7J5JRBRPWi5Md3ujaYgAJor0Hle3tJvi2zVyUkDWxmKzbzhTXDbEczPH4cawqDCSiA91g1rv1lxEzpRcunlJ9smoA2MPzo7Z9B2mC85S6qVzaaBMrQVK88gLVvDNa03nfRSAghRO+iTx7okgQUIOxLq0qpG4CbG+42rtNaFwMNbbYtrBYvhOgORbWVPLX942ACClDr8/C3Axv5ouzsia57Nn+5s1mZdvsxHJ5uiEZ0BcPpxX2kslm5e18Z2h9iDdMeSrfyT12f2A9eN0aVK0Ql+Bsl4EIIIUSnKTrUZadqT/+eb9bfGsDjIerzCSSno883KCFEx9lVeYo6X+gk7e3CrZS5HF0c0bkzxYVotTUrTHZpTbxQmWwWLKnN15K1DozrVWMlW10PN2UAWGyYokOPczVFyetbCCFEF0jq12Wnas9/8EkEut++rrX+cYj6k/W3/c87KiFEhzC0ZktZy/OGObxuqjwhWl96KGufaCLSE5qUxc4eijlBJvO5UJkiLcRdPhTMZzrgmKKt2Mf2nKVswpI8AFpYW9WUeSXKYsGcbMee2bdJXdTk/liSZQZdIYQQnU8NGgmWrrnw2Z4xoXH1tztbqG8YkCUDV4ToIUxKEW9tPUGzmsxdFM35M8fYiL9mBL7TdRhOL+aESCwpUb2qRUy0n3VAHMn/kYmvrC4wO25KNJbE3jUGWMUkoK57IDAu1FkL2g8RUeikvtBvKADmSCsxlw3BPjIFv8ODOdaGOSUKk63dcwgKIYQQ7ZcyENP1izHe/0tgObFO1J7/bFVAMjC8hfrc+tvy84pICNGhcvoMI7/0aMi6UQl9Se1ls+Sao22Yh/aeyZTE+VNKYU2NxhqiW25vobVG1VRgrH4dGnWPVxmzIXUwWAJdcc12K+bBCd0TpBBCiIuaUgoGjsR080+hqgS+/5dOO1d7mg+2EhjzeXP9JEUNUpRSvwSuINBdt6DjwhNCnK/02CRm9b2kWXms1cYNQycS2UXdLoS4qFWexvjX75skoAB622r08T3dFJQQQgjRnIqOR/Vv/t2xI7WnJfR14Eogsv53CCSlPwqxnRCih4ixRnJtegaZyYPYcPow1V4XE1MGMTI+jb5R8d0dnhAXh/KT4A09/lp/sQo9bAKqFy2XJIQQQpyP9iShS4G7gSwCLZ46xDabgJfPPyxxPrQ2oLoM/H6IjkPZ2j+pheGsRVWXglLo+D6YbPLlqCXl7lpO1VXj9vtItEXR1x7XrHXRqKlA1VWjrTZMSX1bOFLrjJJjKK8bHRnT7mPEWiMZnZDGaJMlMBYtOhEV0T1/U11XA65asEagYpO6JQZxhvb5wFEOWkNMIsoaeobWnq7CVUeRswqnz0uCzU6/qHiiLD3nsWifr+VKd13g87r+Y0M7KsHjBFsUKlouFAkhhLjwhJ2Eaq19SqmrCSSZ14TYZAXwH1rr3rNw2wVIV5Wit32K3rIq0O2r/yWYZtwA/YejVHi9r/WJ/eiN76EP7wCTCS6ZhM66GtV3aCdH336+Khf+ShfKasKcZMcc2b6updpv4KtwYjg8mKIjsCTaUZbwe6nvrSzmhT3rqGnUwjEldQgL0yeQHBmD4XbC0d0Y695GlZ+EyGj8k+ehLp2MqYWZMs9mlJ6AQwXozSvRTgc6IQ1y5qMHjcYckxDe46woRn/xIXrHGvD7YMhYTNMXNvmbGl4fvtN1+B1uzDE2LOcwIYq3og5/hQvt8WOOiySif+yZGLxu9NHd6E//AZXFYI9BZc9HXZrVri/a3hoXRrkLo86DOS4Sc99ozOb2Ta7kLa/DX+5EGxpLQiTWtN41LrY9fNVutNuHOSai2VI2uuwkRv77sHsDGAZcMhFT9rWotMFtHlf7/Pir3GBSgbVavX5UhAlzfGS734fn62B1CX/ctYbqRu/DkfF9uHXEVNLsZ16Dvho3RrUbFWHCmtq1f3OVkBbyyi2AGp2DioxCu2rRBwvQ694CR2XgosBlX0UNm4CKlBlyhRBCdA1vSS2+iuZrs3ckpXVL/xZb2UmpscAMIInARERrtdY7Oji2bpOVlaXz8/O7O4x2004Hxr//BEd2Na0wmTHd9JOwkkhddBjj7afh7LUjY5NRCx7ElDqw4wI+T56TNVS8tRPtDLQw2C5NJu7yYZhDrSUZgvYbOPeUUP3+ATA0KIi9fCj2jD6YrG0nX8cdFfx260q8hr9Z3cy+l3Dj8MmYDm9HL3+u+c4TLkfNuAFTROsz1/rdLlTeP9FbPmxWp665G9OoaW3GqR0VGP98Fk6fNTmR1Ybpxp+g0gZhuLw4txdT89mRwHNhUsTOHIJ9XJ+w1+D0FNdQu+E47n1lgfhsZuK/MpLIYYHWTuNgQcjnQk37ciAZNbf9nHvL63B+UUTdlqLAvlYTcVePwD46NawYATynaqj58CDeU4HXuCnORsJXLiViwIXV4qR9flz7y6n+6CDa6cOSGkX8vEux9g0kX7qqFGPZf0PVWbPfRUYHXhfJLa8V5qt04cg7ginCguHx49pdAlpjG5FMRHoikcMSMcd2TUv7qboqflOwEpff26wuI3EA3xiVS6TFiudkNdUfHcJ3yoGymYnJHUzkmFTMUV3TWqq97sDFvc/fa1oRk4Tpq99DJffDKPgE/fHfmu2r5tyBafyMLolTCCHExc1zopqq9/fjL3fS74czNmutszrjPGE1+SilYpRSv6j/+YbWeqfW+o9a61/X314wCWivVnayeQIKYPgDraP+VrqD1dPH9jRPQAFqyuD0kQ4IsmMYdV6qPtgXTEAB3PvK8ByvCvsYvnIn1Sv2B5IuAA01Hx/GXxbelZ+9VcUhE1CAtcUHqakux9jwTuidt32KKm15/c4GptJj6G2fhKwz1v8Lo6K47UBLTzRPQAG8bvSBLwDwldRRs7rwzHNhaGpWF+IrrWv7+PV8xbXBBBRAu/3UrDqIt6QW7axBr30z5H46/wOoPB3WOfyldcEEFEB7DapXHsBTVBN2nO795cEEFMCoduPIO4av1tPKXr2P93QtVe/uDb5HfCV1VPxzN36HGwB9+kjzBBTAVYs+trvF42qtqdtahKewEmU14a90EZMziJjpg9FuP75iB57i8P8e56uwpjxkAgqwreIEp5zV+KpdVH9wAF/93127/dR8chjvya6LU1ltqElzMS14ENLHQdoQ1KyvYbohkIDqqlJ03tsh99Vrl6Gry0LWCSGEEB3F5/RQt/UU/vLObQWFMJNQrbUD+DnwS2Bcp0YkzpmurWy57vg+8LrbPsapgy1Xlp44h6g6h1HnxV/a/A3iLqwM+xj+GnfIkc2+ytCTh5ztUCvrJxlaozx1qJYSd20Exn21QddWBbrPhqAqTqFctW0fo6blVZP00V1ovx9fVejH3FJ5KN4QiaC/yo1R5wFXXeAiSSh+H9RVh3UOX0XzeLTHj+Fo+7UN4Hd68BypaFbuOV6N4biwklBfSfPXhlHjDnShBShp+SKIPrG/xTqj1oNzezERA+NRVjPmOBuOvKM41h5FWUyYY20YtaGTws5wsq6y1XqHN9BlP9QFFc/x8F53HUXZY1DDJmC67kFMN/4I0+SrUUn1Lc4uR2CsdChOR+iLgxeBGq+LEqeDak/nfyESQoiLnXZ48RwNv0HnfLRnwNcpoD/Q/Buc6BFUZEyLY45I7hdch67VYyT1R7MldGV8yjnH1tFUpBlTTESzxMHaL7aFPZozRYXuZmqODq97Xr82ZpbVlgiISwmssxSCimx7zUMVGY1GETJbjk5AW22oto5hj2t5LFrqIJTZ3OJjDve5ALAkNx+zpuwWlM0CVgXRCRDyQokCW3jrP5pjQ8RjVmF3GSbCjCUtBm9R0y/0luQoTJHtG//a06kWHo+y1l97TGi5C7NKabnbvbKYMMdEoNFovxHoilvPfbAcU0wEEf26bj3PlDbWubVbIlBWM5jUmZb+eu15fXckZTbD2eOYI+xgsYIvRAJviQjUX0QcXjc7K4p498g2TrscJNqi+Mqg8YxP7k/8RfZcCCFEVzFFWbCkRuGpCe/i/nmdqx3bvkNgSZbpnRSLOF/J/aGFyW5Mk65ChbEepEofC6HG5kVE9qiJicwxNuLmXkLjDMycFIktPSHsY1iSooie1vTLtn18H8wp4U0AMi6pf4sJ4LjEftjjU1BTQ83hBaSPRyf1b/McRvIAuGRiyDqVNQ9TyoC2A00dAFFxIQ6gUKNzALCkRGEf3/S1Yx/fB0uYzwWAtX9ss+1jZw8lom8sKiYBlbsg9I4jp7T4uj2bOTUK66CmjyVm+mDMqeHFaTabsY9JxRTd6L1gMRFz2RAs8a2Pz+1trH1iMJ01Pto+sR/mxMAXeNV3aOjExmxBDW25w4sp0krszHQUCveB5q3s7gNlWGK67rkcFpeKuYVJ19Jjkuhrj8OSYidqctP3mynKinVgiPdFd4lPhQlXha6bOLdHXQTsbF6/j49P7OEve/M4Xd8CXOGu4+UDn/Pe0R04fRdWrwUhxPnx+3zo4/swtnyMkfdPjL2bMEqOdXdYvZI52kZ01gBURPsmfDwXYU9MpJRKBtYAI4GngUe01hdkq2hvnZgIQJedwFj1NzixL1AQGYO64uuoSyaiwmgJNQwfHN6B/vjvgXGgAIl9UVfeimnw6E6MvP20ofGV1uIrc6IizFhSotqdSBguH77SWvzVbkwxEVhSozGH2armNfx8UXKUpfs2YDRqa+xrj+NbY2bQNyoeo7IUvedz2PRefXdoVT8D6VdQaUPCi7H4CHrjv+HA5sAyGpYI1KQ5MDoHUyuTxzSmTx/F+HApFNd3D46OR111Gyp9XHBCIG+1C39JHUaNG1OsLZDwxbXv+fQU1+AvdwVmY02wY06NwlLf2qTratA7PkNveDcwc7NSMCobU+4CVDu+YHtLavGV1WE4vZgTIjGnRmONad8kOJ6iGvxldWhDY060Y+kf0+4ZdnsDX3kd7sJKfCW12IYmYh0Q16T1TxcdxPjgRSivH2cbm4xp7h0weFSrs2lrrx9vWR2OtUfwHK5sUmfpG03S18a3e2blc2Vozc6Kk/xx1xp8jSZnT7HFcN/YmQyITgDAW+XEd7IG9+FKzAmBC1YR/XtQEgr4ik7B1lWoPZ+B4QeTGT16FnrMFVgHhfdevxAcc1Tw6Jb30S304fjxhKsZGpfcxVEJIXoq48AX6H8/37QnSd9hqCu+jqkHNaD0Jp7jVfgqnERn9Ou0iYnak4QeAqKBVM70DSwFzh7EorXWwzsswm7Qm5NQAO12BpbA8HkDU/yfwxV0o6IYVXk6sE5oYl9MF9FV+PbwGX5O1VVzrLYCh9dNv6h4BkQnkNhobVbD64HSE6jaSrBFoZP6YYpu35dfv7MGU+lJcNdCVDxGyiDMEe3rSqidtVB1OjAGMy65W9bo1IYRiKG2BiLtkJAW1sUR0Xl0XU3gb6I1xKe2a7kcz/Eqyl/f0aSba+KisdjSEzsj1BYZWlNcV83xukocXjepkTEMiEogsZcta+J3eanddAyrxYEJNwaRuMvMxM4a3mWzDfcEm0uO8vyetS3W33FpNjl9hnVhREKInso4dRj91lMhx9Sr7GsxtdQLS4RFKdVpSWh7LlWnE0g+NWc6QabW/9CovP1rvogOpWx26JN+XscwJfYJdpFsa8zhxcxiMjMwJpGBMa186Vaq/o2hUehAC2A7me2xMGjkmfvnEKuyR4O9e68IKpMJEvsGfrqRrq0OJF6GH+JSUBdxq4qKioWo8MdSN2btH0fS1zNwH64Av4FteBLWPl2/5qpJKfpFx9OvHQl0T2SOtBI9cQCeEzW4j1dhSYshZnT8RZWAQtsfkeocPkNFx9DVpVBVFhjTnJCGCjXUQ4iuVHm6xUnd9I61GJdOCW/oUhfxltbiOV6NdvmIGBiPtW80ynLh9cQKR3v7S7X2yS//FcQFR2uNr6Q2MLOm2YQ1NRpLUviTYhjVpbDtM4zNH4DfF7hCM3g0esYiVJ/wuuN2FaPOi7ekFn+NG3OsDWtqdIuTN/VmuugQ/hX/h6qsX97GHouae0eTrskiPMqksKZGo8wKf6UTo9aL3+G54MbXdiVzjA37SBv2kRdv75M+9jhMSmG00FOrv713X2zojbTfhz68Df3hS4HZmgES+mK65q4eNV+EuAg1GobRjOEHo5X6LuY9XUv5q9vQnjPL+yVcN4rISy/Oz/v2fON6qdOiEOIcaVct1FaByQzxKShTx15N8h6vpvyNHeAPfBlSdgtJN47Hmhrm7J+HtqM3nrU4/dHdGJ/9A3XN3Zh6SMuN3+XFseYIzm2ngmX2jL7EzBqCOfLCSUR1+SmMt55EuRst9+CsQf/rf1A3/RT6SRe/9nIfqcBk1BAR4UKbLNTtqsY+qi+WRJnBVJybNHss16dnsuxw85navzRwDH3s0vrW5YqPoN/5Q6DbfoPKUxhvPYXp5odQYU4uJ0RHU/GpgdUIQkxYpkZMRieldUNUoTl3n26SgAJUf3yo2XwNF4uwk1Ct9X92ZiBCtIc2DDh5AOPT16G4MDCj5/iZMGkOKqFjPnAMl4/q1YeDCSiAdvpwbi/GcvnQNruEGVUl6Pz3Q1ce24MqPQE9JQktc+ItqiZmxpDA+D6TwrWnBH+ZE/OA8JNQw+3DV16HdvsxJ0RiSej4RMRf58FX6sRwejDHRWLpE43JFN5E37rkKLhDrDeoNXpfPkqS0Ga014+vwolR68EUHYEl0R5Y8gTw19QRYSrCX1mNxxOBMmuiImpRTiCxZ7WOaK3xVzjxV7lRNjPmJPsFdYGlqxkef+C97vJhjrNhTrR3WDdZq8nMZX2H09cex/vHd3GyrpJUWyzzBo9lZHwaNkv418+91S78ZU60148l0R7+BUTRhN67sWkC2sBViy45Lkmo6DZG2iDUzEXoj19pWhGTiBo9DZOl5wxn8JU0X6/aqPGgvT2ntbYrSd8z0TsVF2IseyLQ1QICXV0LPkaXHMN07f2BcW6A0+ehxOXA4/cTHxFJqj38sW+GxxdygXvvyWrwG9BWH36P+8wMwyFoV22P6cNuePzYhifjWHskOLo7etogjLOu2LXGX+Om5rNCXLsC60Yqm5nE68cQMbDjEm1vlYu6TSdwbqmfzdViIn7eCGwjk8NLRB2VLVbp0uMdE+QFxPD6cW4vpubjQ8HXRezlw7Bn9MFkNaPKC/FWKSrzTGiXCwDb0ARivIVgt2Pq5rG/jXmOVFL5z93Bf/aRY1KJnZWOuZ0zKwvwO73Ufn6cuk0ngMDas/HXjiJyeMdNdma3RDA+eQCXxKfh8nuxmS1EtXMSM29pLTWrC/EcDkzkr+wWEq4dhW1IQofFeTHQWqNbW+6irmsWthciFLPFhn/4JFRcChzYgq4pRw0ejRowAtW/Z82Tah+dGvw8amAbkdx02biLSHvWCRWiR9CGH719zZkEtLET+6HsJBCY5v/3Oz/l0S3v89/bPuSRLe/z0Ym9OLyusM5jsluxDW0+4ZBtZEp4g8ijYtEtTRClTKjWJjPqYspionbDsTPTimmo3XAMkyX8jwjPyZpgAgqg3X6q/r0Pv6Pj1vTzn649k4AC+AyqVx4IebEgFJXUclKkhow93/AuOL5yJzUfHWryuqj5+BC+cid+twujvJzq/EBrWAP3YQc+IwXKi7sn6BD81W6q/r2vydVm164SvKcc3RhV7+UrdgQTUADtNah6by++yhC9DM6T3WIl0RbV7gQUwHOsqskXPu30BV6/1eH9DxABSinU0PEt13dQ7yMhzpU5NgHTsAxMc2/H/NXFmKbM63EJKEDEkPjAmtX1LRCWfrHEzhiCyXpxTkwkSajofTxu9Mn9LVbruipO1VXz9I6P2V99Jily+b3849BmPj9dSDhLE5msZmIuG4w58cwkKxFD4okcEd4AclN0PKZpXyHUnF0qYxY6ZWBYx+kK2ukNWW60UB6K93jzq+H+KjdGXQcmoRXNv+Rqjx+jxh3eAVIGhX7eI6Nb/ZJ1sTKqQz+vRpUL5azB8FvxVzTfxl2qQ47P6S5GnQejtvlr2VtU0w3R9H6+8hDvQ7cfowMvOHUEz9Hmn0m+0joMR/ifayJADc0AW4glj9IGQ3LPmXlUiJ7MHGMjduYQku+YSPJtmSTdMBZLcu9aSqwjSXdc0ftYIiBlIJQXhaxWUXHsqyrG4Q39BfpfR7aRkTQgrK651pRokm7OCCQ/JoUlyY6pPePIBo5Ezb8fY/2/UCVHISoONXkuXDIJk63nzCBqigndytBSeSiWEEtzKLsFZQv/Y0bX1cDpo+hDWwOtxcMyIG0wyh44tikuRNdJs8JkD+9vomITMV97H7rgE/T21YE1U0dkYZp6DSq5f9hxXixMLUyUYIqJQNssmEx+TNERGLVNkw9rgoIeNNOwirSibGa0u2nvCYuMDzwn5vN8H3YVa58Y3PuaDokwxdpQkT3ntdlbqJQBmBb9F8bG92D/F2C2oibMRmXMRsX2nF494uLmrawDr4GOjyCinWupdxVlMWNNkf89IEmo6IWUxYIp8wqMffk0W5Y2sR8kD2BHYfNZFRu4/D4qPc6wx4eaoyPOedYyk80Ol0yEPukoZw3aaguswdrDWJKjiJrcn7rNJ4NlUZP7Y0kK/wpdxMB4LH2i8RXXr9elIH7uJWEv16HrajDWvgk71pwp2/IhKvNKyJmPssdgSYvBOigO77Hq4DYxlw3Bkhb+2pQqsQ/M+hpq8lWBiTai41Hn0NXvYmBJthM9dQC1G890vYyaMgBLchQmmwUjMY64qWYqV5cF34rmJBsR9hpI7DlLEFkSIom7egRV7+wJxmkdEEdE/3NbH/ViZ+0bQ0R6Ap7CymBZ3JXDMPewGZFtQxNx7ijGX1Hf/VZB7OXpWNuxzJY4Q6UNwTTvLphRFVjMNSYpsPazEN3M4/RgnHRQu+EY/mo3thHJMDaNiH7yGd+TqXC6JV5ssrKydH5+fneHIVqhvV504bbAbGi19V2uhozFNPsmVHJ/Xtm/kc9OHWhx/59mXs2Q2OQuivb86eoyKDsZmMwoJgGS+3f4IuF+pxd/aV1wnVBzShTmdrZs+GvceEtqA7PjJtmxpkShzGHOXHtkJ8abT4asMy36AWrQKAC8FU78p2sxXF7MCXbMaVFY7OEnkdrwQ/kpdHkRGH5UYl9I6ouyygQ1oRguH76yWvw1HswxEYHXRX1vAL/TAUf34neA321DmQ3MFgeW/n1Q/XrWeBztM/CV1eGrcGKKtGBJicbcjpZ+0ZS/1oOvpBbDGXgfWlKieuS4Jm9pLb7TtWifgSXJjqVvbLvGugshej53YSUVb+4MzO5fL2JIPLFXXSIXnc6TUmqz1jqrM44tLaGiV1JWa2D9p75DoaYCLFZISENFBFrdJqcObjEJHRab0q5ZcrubLjmG8fYz4AhMsKEBBo3CNOcOVEJqh53HbLdiHnR+M9maY22YY88tmdOHtrVcd3RPMAm1JtqxnmOLi/b70AcL0P9+PjixlUahpi+EzMtRocY8XeRMkRYiBoR+XZjtMTByMqrkGNbqcrBGYCSN7lGTbjVQFhPWPjFYQ3QbF+13Pj1EupI1JVq6vglxgfOerG6SgAJ4jlQF5ouQJLTHksuBoldTsUmo/sNRaYODCSjA4OhErh44utn20ZYIbr4k65xmWuwO2lmL8f5fgglo0LE96B1r0PoCWltKtfJx1FFdvsqK0O/96ayZlTV63VtwqrBjznERMqUOQg2fgBo8GnMPTECFEEJcwHrKeneiXc6pJVQpFQ0k0kISq7U+ej5BCXG+oqw2rh44hjGJ/cg/fYQKj5PxSf0ZmdCHflEdt25lp6sshpLQbye9ZRUqYxbE9Z5uxa1RQ8ejv1gZuq6+FfR86dNHoIXE3di9HvOQMR1yHiGEEEJ0DWv/ODAr8Dfqjjs8CVOCDLPpydqVhCql/gP4MdDaN0Ld3uOKjqUNA6rLwPBBVDwq8uLsYhhttTEqoS+jElpeGxJA11aBqw4iInveLH/++qUEYhJRo6ZBhA0cVeg9n4PHGXqt1BC01pS4HJyqq8avDVIiY+hrj8XaeAZTbaCrDoGrCiLjUfHDWm+d7Ghpg1ETr0JvWdWkWE25JjAbcr1Kdx1FddXU+TzEWm30i4onNiLMmYYb1ojtNxyVPg6UQhcdgsLt4Ox9y3UYhgHlJ1FeLzo6FlNceMsHdTTt80BdDZjMgTHLnXEOjzvQI8BkCkyIYpF/M6Jths8H5UUovw8dm4ipk16fFwvtcYGjMvA+jE1C9aBZsHubOp8HZ00ZylmHtkZgik0iMVK6jp8L1S+KhIVjqMs/gb/Kje3SJCJHJGONl664PVnYnx5KqTuAPzfc7ZRomp4vAfg/YByBxPZOYC/wOpAOFAJf01pX1G//E+AbgB94UGv9QX35ZGApYAf+DXxHX8CzMenKEvTWT9BbPwafF/oOwzRzEfS/pNfNYud3efGV1GHUejDH2QITX0R03D887a5DH96G/mxZ4MttVBwqdwFqxOTgkiAA3tI6/BV1gSVakqOxJLRvaRWtNf5yJ/4aNyrSgiUpClNEmBN4xCahJlyOjk4ItBK6atHxaZhm3IAuOwnRbU9O5DX8FJQe4+X9G3EbPgAUiqsGjGTuwNHERdjRTgf64Gb0un9BbSXEJKBy56OGN30u2uKrceMrqwtMTJQQSUQ7xt8pe0xgFtxLJqGP7QGlAi2gKQODF1KO1JSx99RJssx9MDmtuKNhWdEW5g0ZE1YLt0oZBDO/hi46iP783UASP3Ak6vJboB2Ps6v4a9z4KpygAssDNR6DZ5SdhF15gfe7xwVJ/TCmL4TBYwKzMncRXVaE12XHX+1HRYC5phRLjAkVm9Rx5zhViLHuLTiyE0xmGJ2DacqXUEmtX2ASncdX48Jf5gxMTBQXiblvNGZzz5qYSJ8+Bls/Qe/OQ/u80HcoRu5CGDwSk0mSp/bSpw5jrH0Lju4KXHAaOx0mXy3vw3NQWVOOcWQXCRvegepSiIyhevIcTl8ykTRZd7XdIiIiYGgE1rRoDJcXa7Ik871B2LPjKqV2AGMIJIStJaFaa33e/4mUUi8Ba7TW/6eUigCigJ8C5Vrr3yqlfgwkaq1/pJQaA7wKTAX6A6uAS7XWfqXURuA7wAYCSeizWusVrZ27t86Oq501GO/+EY7taVphMmO68ceofsO6J7Bz4K/1UPdFEbUbjgUKTIrYq4ZhH53aYYmosSsP/f6fm5WrWTeiJs1BKYXnRDXVqw8RkWQGA7wOTezsYWEnV1pr3AfLqXxnL/gC3UCjsvoTnT0orJlntd+Hse5tyH+/eZxf/hamkW1PWHagqoQntn149mI2ANw0PIvL+1+KsXU1+qOXm5/jyv/ANGF2m+cA8JbV4VhTiHt/eWBfm5n4a0cSObRjkpFSl4P9x08w+pAZ19ZTgUKLiZirh/O6OsjXLplErLX1CwRGyXH0O7+HytNNKyLsqIXfwTRgRIfE2hG8JbVUvrULf3VgvVtLn2gSrh2FJdGO4XQEZobeu/GsvRRqwQOYhk3okhj16ZO4a+1UvbsX7Qpc4IgYmkhMdn+sKRGoDriqr0uOY7z+G/C4mlYk9cP01e91aLLbVbS7LrBGbWRMr7s4COApr8O56QTObcWBAouJ+HmXYB+d1r2BNWJUlQQmICs61LTCbMF0/eIO6+J/sdAlxzBe++2Z3iQNkvsHns9e+D7sLm6/D+fez4l9/y/N6hyT5+LOupq06IQujcnQBlprzKbmX999Ph9GcR2G04spOkKWPbnI9JTZcYcTSEDrgN8D+wFfZwSllIoDZgJ3AGitPYBHKXUdMLt+s5eA1cCPgOuA17TWbuCwUuoAMFUpVQjEaa3X1x/3r8ACoNUktNcqK2qegAIYfoxtn2JKG9xrus74TteeSUABDE3NqkNYU6OJ6H/+S5Pomgr0mmWh6/KWo4Zn4o9IQJcVEd/3IKbDG8FswbhkBkZ5HISZhPorXVS9ty+YgALU5Z/ENiwJ85CEtg9QeRq++DBklbH+bdSgkaiolv8h+A2DNacOhExAAd49up3syFgi1r0Vsl6vews9dBwqjG6e3pPVwQQUQLv91Hx4EPOic5/NtrETtZWM9SdQt3X/mUKfQe2Hh5i3YChFddXEtrUmafnJ5gkogMeJPrYXekgSqn1+HOuPBhNQAF9xLc5dp4nJHYwqPYFuloACaPTGFRh9hmIKo5X8vGI0DHx+OzUfHQomoACewxX4LknCaq2CjkhCD21tnoAClBdByXHoRV9+dW0V+sgudP4H4K5FXZoFY6ejGnU37w38JbVnElAAn0H1hwcxJ9h7zhfU0hPNE1AAvw+9Mw/d7xJM0qU7bPpgQfMEFKDsJJT2rvdhd6urLiNm/Tsh62IKPsZ9ySTooiS00l3H4Zoy1pw6gNPnZWrqEEYn9qNv/RJwvmon7gMV1HxaCD4DZTMTN2c41hFJWHro+0f7/age1itDhNaeV1AJMIBAS+JDnRRPg2H153tRKTUB2EygNbOP1roIQGtdpJRquOw6gEBLZ4Pj9WXe+t/PLr8g6Yb1MkM5sR+8buglSai/OsQ/O0MHvpT374ATuGrPrC96Nq8LnA5w+TBvfBFVXRKsMm16AzVwDMaAOzHFnRk/WuGuw68Nos0R2K2NukzWetCe5uM2feVObOEkoXXVLY77VOWnwF0HrSShbsNHYU1Zi/UOrxvtqg08H6G4asFZC+EkoSeaj6n0V7nRtR7ogCS02uWEyubptPb4sbugOFSicraq0pbrTuw7j+g6luH04SmsbFbu3l9O9JSBgS7TLSk5Bi5HWF21z4vHieEFf4WzedXxKiIHxnbIuA19dHfLdZWne82kiNrtRK//F3rb6jNlm1eid67D9LUf9qpE1F/e/L2m3X4MhxvoIUloK/8PdfFhlLsWLL1okrpupLVu/X1YVdpr3oc9gXI7MVWVhK70+zDqWvku14Eq3U5ePbiJgrITwbJDNaXEWiP57rjLGRiTiL/cRc1HZy7maLefqvcPkBQ7Fgb2nPeP9rihuBBjxxqoKgkMqxo6HpXUr7tDE61oTz+gVwl0wx3cSbE0ZgEmAf+rtZ4I1BKYEKkloT7/Wuo2HLJRSCl1t1IqXymVX1LSwodDD9dq17fk/mDtPbOEmVpYf66l8naLiISWxs2ZLYHumcX7mySgDdTxXfx/9v47TI7rPvPFP6dC59yTMwaDQQ5EJBgA5kyRSrSyLDlKsrVrr2WvN/3uPr/rvbt7N9iWLQfZXtmWZElUJEVSYo5gJkgiZwwmx865q879oyY1pnumhxwAAwnv8+AZTJ2u7uqe6qrznu/7fV8ig4AlEf1Z7yH+/289xn94/SH+4vBzHIkMkjesypDi1C3HtvOg+av8WzjcVFS/ewLW+5gHNkWlbp5eR7uqITQdKkXWaDaqlexrdXPPP8WlIxxLs/DhttsR3jISZlVQtCu49CrODfc8N81lRAKEXUNrmDuZ11t8CE2Z/7vurwHbRegJ1XSEBopn7ueu13kQubnk9L1ANHRUHryc4mAmhkoI6DSyKeSx16v+ni0HqH47CLB3BnFuaUCrdYOmoLiWUfTVfN+RQP2C184rmIEQAlHfUXn8itnT4mCzgavCIqEQqI6L409wKj5aQkCnkChkeeTcQfKGgREts7hbNEtUOpca0jSRR1/BfPC/w5GXYeAk8rnvYn7vvyPH5r6/K1g+WAwJ/b+AV4FPCCH+UghxnRCiUwjRdv6/JTiuPqBPSvnq5O/fxyKlw0KIRoDJnyOzHt86a/8WYGBye0uZ7XMgpfxbKeV2KeX22traJXgLlwDhJgiWX/VRtt5y2UhxAbQaN/bu0ugR165m1JqlcfoV/hrEznvKj225CQK1yFP7Kz/BWB+RXJp/OPYyPzr7DqliDgmcjI/ypwef4WDEOs3UoBPfzaW9uLYVQbS66m4yOU8IuWZX2THz6g9UvpFNQlNUbmhaXXH8lqY12AwTNu0t/4BNe2cceheArcWHVjvr7yPAc8OKJQuKb3YH6HNmsbWVEkn3dW08njlTpTFRC5S7wSsqyoqNS3KcSwHFpuK9vh2hz0iKFJeOa3MDQhHImpaK0mGx4w6Ui+DyLDQbuhLBe0NHyTqJGnKiN3mWTJ4nVm2zzIjOh9ODqLsYa6JLA1lmQWt67MSbsESk/WJAqXPhu7MbM2+QOzGBVusicN8a1NplZAZS04z0l1dwiI17UC6jRdnlANG9o7xbutMLNa1zt18GKBgG2WJ197elhN1bQ3LHHWXHsqt3IQP1F/wYCobBswOV1T/7x3sZzyURFbwrFOcymk9Gh5HPfHvu9nTcylM3f4Hy1H/BUPVZJKXMCCH+AdgF/Pbkv7IPXczzVnitISFErxBitZTyGHAzcHjy32eB/zr58yeTuzwEfFsI8b+wxJqrgNcmjYkSQoirsQj0Z4Cvvp9jW84QngDKB76I+fQ3ofeYtdHpQdz0KbiMTIkAtIAD794VONfXTbrjOtBq3VWZ+VQLsW435LPINx6zTEIUFbH5RsRVtyJUDeEJIJu7ESs3QzEPKKCqyEMvge7kXHKCUxUmlv9y8g06PGFCDjeOdXXodR6K0QyKS0ercZe4nM6HvnyagZUb2S0UlKMvg5Sg2SjsvIufKJIbswnqnPMT0U5vmPvbN/PjnndKtq8PNnJtQyfK+CCyWEBuuhEOPm/Jf1UN1l+PKBaqllnpdR4C96yhMJ5C5gy0oBOtfukmpfVOH7Fghv6dkvbNdZApYvp0ni70sbdlNf4qqn+ivh3l3i9iPPsviNHJnmNvCHHDx5ANnctKUmZr9BL+9GYK42mEItDCLrRJWbPiCSBv/IRlWnXmACCt6v3V90Dr2ot3kKFG1Ow5gh9djxHNInQVza+h6XGEb4kIYl07yv1fxnziHyExMbPt1s8iApfPgqHQ7RV7s3H5LptWCQDSReI/PzGdyZc9PIoRyeC7ZzXqxajCVwEl1Ii8/QvIF76DGJzsI3f5kFd/FBq7Lu3BXY6ob5v5HiYjk9suv+8hWH2QJ+OjPDtwnIxRYGu4lS01rTRfpD5Mp25DdmxFJrOId35mzS+Eglx1NeKq26nxXHiZq4lJ2shXHJdYnhJayIHe6qPQG58ec6yvQwksj+85ANFRaw5XBvLIy4jtd1jKsStYdlhMRMsDwF8zI2e90PO13wW+NemMexr4HFbl9ntCiF8DzgEfBZBSHhJCfA+LpBaBL0kppxrpvsBMRMtj/KKaEk1ChJtQPvC7EBuBQgG8QYQvvPCOyxBawLHoOJTFQLj9sPtexNpdVg+oww2BuumKsezcjDh7EPn8g7N2UhDX3I+saeLtsd4KzwzxQpbxXIqQw42iqyiNXvT3YNhxNjHOgyOnebOxhRs7fwNbsUBc03ksPsJQZID1me4FSahTs3FT02rWBRvoTUUpGEWaPQEanQG8NjtGqNnqLY0MIa6+lykluzy5HxmsR4abqbbFX6txoS1RtbocugP1jNgTnEpFieczhOxurnN3E16EfEm0rka590uI6DCYBtJfixJeikbjpYcWdqGFy3+eoq4NceevI8b6rcUUTwDlIlcGhc2J3rZq0uxpAlQdgg0I19Idh1AU6NiA8vF/b0UZKCr46xDOZVR1qwbhJusaU6b/Wtl6K6IaOfkyQXE0VRIKD1AYTGJMZNCX0eQ0dVpi2/ZZlELU8kRwB0mfzOJpF9aM4AqqhlBUWLER5RP/YeZ7GKhbEgfsi4loLj2nD7IvFeXx/qP8/sabaPdenPmSmrYROdmMZ9sXEUoWKeykTxu44naUxgvvmG1XdbbVtNFXwV+g1uHBZ3Oge5x4b1yBMZahGMughVyo4aUxG1wyzGdCpNutTNsrWJZYzNLrv8MingtFtCwJpJRvA+UsgW+u8Pg/Af6kzPY3sLJGf2kg7E6oa7/Uh7EsINMJiA5bklJvGBEojRAQigoVGtdFPjO3h0uayH0/QnzkDxHiwtfNDGnJSDZ5alip6KhSkrO7OeoKMJRNYFbZR2bXNNq94bI3WNXpQm67HfPQS9bEwixaVZnGLpT110xndC4X1Dm91DkrE/p4PsNELo0Awg4PnjKyO6HbrZuTaV6yyb8sFq1zMx2fXACpR9gWJxFUHG5o6QYuwkW5AoSiQKjB+nchX8cTuKxXs4W/FuW+L2M+9BeQmTTxEgKx6x5o7r60B7dYVLr2XYRr4mKg13vInxnG5s8hZBEjGUcL+pHL6zAvGkrvhzWLrmBK07SM+yTW9fMylDSfSYyX7YPMGgUePP0WX1p/A05t6RRXlSCEZfAV2zfVc2n1WMptF/ylp7E53MLjfUfIlGm5+UjnVfgmVQ22ei/ULxPDsXIINliy8Mxcc0Sx9TbEAm1LV3DpsBgS2o116UkCfwGcBSrX8q/gCt4njGSe4mgSI5FHDSxejitHzmE+9nXLQh4sueJNn0R0b0NUMuKZvf/ZQxUGJEwMcFVrNy8Nl4kAAAI2J7WT1bliLEtxLIURyaK4dNQaF7Yqe0I7vGH+pGMrwdd/BmcPAGBXVD61+Qa2tq+bfo33DacXcinkO88wvc60Zue8zrvlUIxlKY6kMHNFtLALvcZV0te4FDASOQojKcx03pL81rpR7BpF0+BYdJjvnHqDkWwSgCaXn4+t3M4qfy3KZD+THDiF+djfzjjlOjyI237VctK7SJJImYwi3/g5cv+TMLnQQPcOlOs/jPBfXtK2K1gEhEBsu826hkgDNDvS6QZpTC8iGOk8xZE0RjyL6rej17qXl+EPoNe6EbqCLMz0WumtPrTQMqqOAJoaRR/8HuKQRTo0mwO5/cMgA/yylULlcA/mo1+fNtXD7kLc/ClE11XV3Q9TcYzTBzAcKyjGHQhVoiXG0MO2yyYj1JSSF4dOVRw/ER9lPJuk5SIYnsVcJqLWiRyd6QUXDo2oRyKKhYtChJvdAX5v48384Mx+jsWsyKWQ3cVHO7ey1n/5uMoKXxjl3i9i/ujPSmOEOjYiuq66dAd2BQtiMTOuQaAD+KqU8j9cmMO5giuwYKTyxJ88WZI7abunk4lGjXghi0PTaXT5CdrLV+lkfBzzR39aatOfzyB/9nfWDbO1slnP7MdXPsACbe4A64MNHIoMlQwJBJ/s2kHA7sLIFcgeGiH50rnpcb3Bg/e2LmyTWaOGaTKcjjGSigKSWleAercfTVFpV+3oswgoAKaB2P8U6z1BWLFp4feBdfMdzSYYTscpSkmtw0O904tN1ZCmYZGho6/O2kPC0VeRLj/s+YhVMV4AxUiGyA8PlcQ3+O/uxrlu6QLsjXiO4TNDjNryZPQinkSShnyWcHstpxNjfPXQsyV9dwPpGH968Gn+cNOtrPDVICNDmD/836V/22wS+fBfIj7270p6p2ViwsqntLuW3P1RHnkF+dbjpRuPv46p6Si3fLqqSeEVXF4wxweQP/2rmX662bj3i7BqG0amQPK5s2QOzmTZOjc14Nnbjuq48JPSamFr9RP44DrSbw1YcVMrQzhW16AtlNN7ESETEyhP/03p553PIvZ9C1FfD8H1l+7gLjJkbNS67s2uFOXSyEf/FvHAH02rKeZ9jpNvUXSsJfrQSTCtq6zi0gncvRLdVbwsjA+llGTm6YOEGfXRhcRENsXfnH2Z265ZSWuvB+1MEqPewfgaF1/veY7fdl/P6sCFVZZMod0b4ovr9jCWTVKUJkGbE3+FedVyhmjpRvnkf0SO9UEubanews3z5qhfwaXHYq4a3wD+M7DiwhzKFVzBDIpj6RICmr+tmX/OHOTkgZmcx6DNxW+tvY4V5TIsx/or5sSZ7zyL0ty1ILESq3ciT79TfqyuHb/dxafaNnPAHebxsR5ShRzdniC3NnbT4bOIV3EkTW44QfCBDZjJHMKpU5zIYIylod5Dtphn3+BJftDzLsXJm58iBPe1rmdP02qcsWHM2QR0Nt58HLHyqgVlkAWjyP7xPv75xKvkJzNHBXBz8xpua1mLLxVDvvM0sqYdc/WtmKYNRcmjHHsC3nkasXmvJXfBqnQa0SxCFaghF6prZmKc743NyQ+MP3Uavdm3ZJPTc7koEX+RNTKEzBSRHhs/z57impSdR3oPljV+MaXkqYFjfNYdQB05V35xQUrk8TcQjZ3IdAJ54k3kvh9bkzZPEHHdhxGdm5dEmizj48jXHik/eORl2HY71Fqm3kYiRzGSASHQQs6qDa0uNorRjHVe2FS0kAtliWJ5fqEw1l+egALy3Wcx29ZRHM+jhJwEHtiATOVRPDZy/XGM8Qxq8/IhoWBJXV07W8CUqGEn2jKr1s77eR94Btm6GqEtn/PUSOUpTmRASrSgE9W7hFLXsf6yUkUA88Dz1v2wnPPtJGR8HEO6SL7UP01AAcx0gcyJCHoQKxpqmUNVFHbUdnAqXj4vOmR3EajSWCtVyDGQjtGfiqIKQasnRL3TV1UFczATpzcV5e9Tb9Lg89F9dZj+/BinhqxM7+OxkYtGQgEcmj5v9dcsGBiRDGaqgOK1oQWdCHX59VmKUAPiAreFXMHSYjFX4O8A9wIfE0IkgG8D/cAcMbmU8tz5267gChYDMz3rtFoX4vvyFCdTpTeOSD7Nnx96lj/ecvucHkGZS1d+8sgQFItgW4CENnUh6ztg+GzpwLprIdyEzGXwP/8g1507zFVrdlF0uHGePIDtye+iPPAVaOnGlCau1bVEfngYihbJdGyqR1tr3bCPR4b47tm3S9+7lPzo3EHqHF62lDExmUY6jigsrIjvSU7wD8f2lRA0CTzZf5Qah4cbdBcy3Eau/X4SL0RAZkCAd+eHsSs/gbzVq1IYThL5wSHMlPW30Vt8+O/snjaPKo7NPVaZLSJz5V3rFouxbBIjk2flcZP4O5PB6ZrCnbd3cTgT5Vh0uOK+hyIDJIt5/Ml5AuzH+qxQ9sP7kM9/b2YgGUH+7O/gjl9DrLvm/b+RQs4ygip7ENKqvgKF0RSRHx7GnMxj0+rcBO5djRZaXqvU+f44kR8cQuasBQ77qhC+m1ai+i6/frELivmUFXGr6i5VFSEh+uDBaVW8Z08H5jLrYSxGMsR+fpJCr/V90lu8+O/onnZvXg6Y/x4w2Re5TEhocSJD9KGjluETVg5r4EPrlizeSmYXuB8aBmjzkIp8FumuoTgxN+GuOJrBNANVm9eZUjKaSRAvZLErGrVOD86LqPxYG6jHpzuIF7Jzxj7aubWqKmAkl+b7p/fzxlhPyfbbW9ZyW8u6sj4EszE7FmYoG2coGy8Zn5jv3L3IMPMG6bcGSL4w+V4Vge/2Lpxra5clEb2CywuLOYOOAduwiii/ATwDHAfOnPevfJPcFVzBIqDOcsWNddg5lhgp+7h0MU9PcmLO9vnkk6JjPVRhRiP8NSj3fAFx2+egcSW0rUPc+0Wrb8/psW7ex1+HbAr320/jf+VhbGcPAibm648iCzlUTSX+xKlpAgqQfXcYmTXIFPM81nek4us/3HcY6Q5UjG6Q4Wakc/6eUMM0eWHoZMVoiJ+eO0DE4cJceweJVyIz3tcSEq9GMNfeAS4vZq5I/OnT0wQUoNAXJ3dqlly6NTDn+dWAA2WJqnf9qShNGQeZd2aRzaJJ4olTtGo+7GrlFWinakMTCiJUOX9NtG+A+Bjy5YfKjssXvo9MlK+sLAoOD1TKgdMd4PIiiwbJl89NE1CA4kiKzJFRZJVmVBcDRrpA7LHj0wQUIHdignxfZbL/ywoxT3araOkGpxeRM6zJ3qzvYfK5s4iCUXHfiw0pJZkDQ9MEFKDQlyD9ztCyOjfFPJUd0bYeFmkCdqEw9XlOEVAAI5Yj9WofsrhE0tD57odt6xALVe8cbsTYCWztc5/HvsJftfloPJ/l8b7D/Mn+n/E/3n2SP3n7Z/zloefoq1CxvhBocPn51xtvYltNK2KyE7vO4eEL6/awPlCdS/pbY71zCCjAz/uOcCJWfq4yG36bc/q1y6Hds3x6bItjqRkCCmBK4j8/aVXtlxmklBSjWQqjKczMxc9/vYLF470sY8yOaKn07wqu4H1Bq3HivbkTFEFSzF9JG07H524MN0NbmbxE3Y5YvbNqZ1vhr0HZcB3KA3+I8sF/jbJqmxXtAhXlvgAMnoFcBjOZR+bnTiCNSJaMUaA/U/k5BtNxUv4axNbbyo4ruz+A4pv/ZpUzi5xNzBDFWoeHJpcfZfL9Jws50orAtJU3wzHttQhvCDNTpNA393POnRifnnjqTV6cW2bMDBS3jv/u7iWTkCazWczo3NVrmTfwxCR758n+u6V5NV6bAxlqRoZb5j7A4YaWdZBOlBobzEYqVjZeY7EQbh9i7wPlx665HwJ1mJki+bPROeO5ExMlZjCXGmY6jxGZ+3nlzkUv/sEsc8hQM6zYOHdAsyHW7kbRNIxZiw6zYcSXjwegzBTJHp0rZ8weG8PMLI3qYSkg/bXl7wGaDbFq27zy04sJmTPInpq7kJo/G8XMLtFE2uGChjKdVDYHNC2cmSo8AdSAH8/2mpIFYlu7H3uTHaqIgZsyBfrR2XfImTPnyYn4KH928BlGKsiFLwSa3QE+130N/79td/Efr7qTr2y+lS3hFuxVVMYjuTSP9R6sOP7zvsMllc6yr+/ysauuo+yYW7Ox4iLFxFSDstckU2Imy1+rLhXMvEHm3WHG/3E/49/Yz8SDBymMJC/1YV2WkFJSMEzS+SKxC0zmF6tFuUIwr+CiQNE1XJsbsLX5iZtxGK/82HCZnDLh8qLc+lnkoX3It56wJI4rN6PsuhexiCxFmYzB8Fnk6bdBs0PXFqhts3oD58tHC9aDbkdxCVDFnEw91WfDrmiE7W4G0uWJaMjuAs2G2Xk1isuPfPNnljS0thVlxz0YvhULriLZFJV6p5cGzcYddg/hgdOo+QzR5lXs11Qejw7iUHSUYHkLcyVgyZwVu4pW66I4WioT0tv804Reddvw7u3AtakemTdQ/XZU39IZlTjtNpRyfVKqQGqCTf5mDkwMzPk8V3hr2DRJPIUvhLn7syhnXkEcewGMInLFNsxVN6AFGyA1alWeywVf253WpG0JINrWIu7/V5gv/gDG+sAXRlz7QUTHRoQQCLuG1uCl0BMt2U9v8SHmk81dZCh2DcVjw0yWkiTbe8jE/UWH4gthXv8A1K+wXKhzaehYj7LtDqsSirVwUw5qhe2XAsKmoNW4MWKlk1DLCXv5nJsiGYH6FRBqRB55GXJZaFuD6NqGHD6DaFl1qQ8RAGFTsTX7yIyXVpa0ejfCvkRy4fFBRMdGqGtDHn3VagloX4/o3Izc/xSybe2C1VDRuQmt5yCBa90YahMooNnyqLXuqgj9SCbBoxXIW7yQ5VR8dN7oraWGrqo0uvyL3i9vFkkUKhOw8WyKnFnEwTzKHN3ObS1rkZi8NnIOOVnbqXf6+FTXjouWVVoNKi0iLzfH7sJwkvjjJ6d/Lw6niD58jNDHN5V4V1yBBSklecOkaEiKxuT/zcnfTTldXEgtUTtVJSzmCve5C3YUV3AFZSBUBb3GTWNBpdkVoD8dnfMYTSh0VJCuCH8t7P4AYuP1YJrg8lr5kFVCJqOYT30TTu2f2bb/CcSue2HH7Va+aFMXDJycs69y9T0IuxO1zobnunaSz52dHrO1+VFrXDh1O3c2r+HvT7w6Z3+Au5rX4LM5KLpCxMfacO7+LRQHFGISM+bAtWLhG6imqNzV1I3/0D58T393envDkVe4uWU1a665j7DDjaw1cG1vIv3GTM+Pa3sTWq0l91WcOr6bVzLx4MFpQq347ThXl5pRKDYVpX6JYmPOQ4s7SMyTxt7mJ39uhmh6rmvnmdw59jhX86X1ezkVH+Xl4TMIIbi2vpNObw2hyQUDIQQi1EDszQ04rtqMUCDbV8ATaEKxa0itFrHlZuSbP5/z+mLXvYglMt8Quh06N6E0dlq9gpod4Z5ZCFBsKt7r24kMJJCTUkzFpePa3IBQls9aoOq147uti+iPDk9rZNQaV1nZ3hWAUtMENfdhrr3aWujwBhGzetDUoBPnpnoy785Izp1bGlCWUa+l0FTcu1vJn4vOVOU1BffuVpQljmN6P5CxUeTrj4K/BrHpBtBsyMFTyKe/ZfX0b7weUaUJzYWEUASuq5rInZyY9kIQNhXvde1L93mqGvKVhyBQh9h8I2g6sv+E9Vm0r4cqSKSwu6B1HepID+rQfktV1LSyallzLJ+hYFaWlR+JDrK7vrPi+GIgUzEY7UMOnASnG9HYBTXNC8uOq4BT1Qnb3Yznyqti2jxBnPO0hkyh2R3g453bub5hFdFcBoem0ej0U7NAi83FhlrjwrmxjsyBGZmx+9o21GUWx1Ton6vUMiYymPHsLy0JNUyrolk0JUXDLCGdRdOcfsxYMsdgLMtANDP9cyCWZTCaIZ5dJiRUSvmPF/JAruAKKsGrO/j8mt385cHnmMjPVOJ0ReULa6+nYZ7VTCEEvNcMs8HTJQR0CvLVhxGdGxGNK1Fu/zzm89+DU29bgw43Ys8D0+Hzqk3Fsa4Wvc5tuYc69en8TIC1oWZubOjimaFSInttbTsbaloB0IJOPLtaKY6mKKQLqDUObHUulCpXyVuyGcRrj87Zbus7RkciMl15c+9uxbEqbOWyem2oNaWvobf4CH9mC8XxDEJT0GpcFzWSoc7p5bgvjXltHcEtDchMEeG38aY5ypb6NvyTE8oah4cdtR1Wb0AZ2bUWshO8IYAcHwTTwH5tA0qdNZESqgZbbwFpIt9+GkwDNB2x407E2quX/D0JpwcqTDpsjV7Cn95McTxtuePWutACy+vGD2BfEbTOi4kMwqai17qX1tnzFxBKsHxPsB5y4drejH1lCDORR/HaUENO9GVEQsE6N0Of3Exx2JK7aXVu9Cqzjy8WhG631kViY8jXHysddPugitipiwU1qBP64AoKEzmQoAVtqL6lW2wS4UakokJ0ZM5noWy6AaEu/FnIdBzzxR/CwRdmtgHils/A2msQ+vwTfdsCn7dfXxrDNZmIYD79z3BqxtleIhB3fB5W73zfUTI+m5P7OjbxD8deLjt+S/NabFW+hlO3s8q/dBFmFwKqU8ezdwXO9fUYyTyqz45W41pWC05Aee8JRSx5TvlyQ3GSZM4QTJPCJOk0Jp2sM3mDwdhcgjkQyzIcz1IwLl0v//KwhruCK1gALe4gX9l8K32pKGPZJD6bg2Z3gAanr+r+zsXCPFL+JgMgh88hGlcigvUod/0mRIchnweP36rAzoLmsaN5yk/KvTYH963Yws7aDvqTE0gkze4gjZ4QrlnmSVrA+Z4JiDIxVNGYSBx8Abl6J0JRUB06asv8hF6vcS+ZY+N7QXegnhF7nGOOGIlClqDNxTp36xxJtlLhnJBGEXlyP/Kxr1sEc2r7NffDlpsRDpeVI3v9RxAb90A2bZHEQB2iWveNJYQWdqGFl5cb7vkQikCv8yw7EnK5Qg+70Jf53xxAr3Wj1166a8GCCDdZEvrcXAMVZcvNlzSL15wYsmT44wPg8kGwAfHcd7GNTgULCOS1H8Rcfw3KPAZLVSPUiLjzN5GP/g3MysEUG/dW1RMKWIuyswjoFOST/4yo74D69nl3r3N6afUE6a1gQrQp3FzdcSwA2Xe0hIBObkU+/g2rFaemjCfAIrE+2MS9bZt4pPcA5pQngqLysZXb6PQu/6iaxUJ16qiti5cuX0zYmr0obhtmaqY1xL2rpaSH+XKElJY8tmCYFCZJZtGU5IvmtGzWlJKJVH66kjkYzTIQyzAQzTIYyxBJL9zXKYAaj53GgIMmv3P6Z1PAwT3/7cK9v6pJqBDiM9U+Vkr5T+/tcK7gCioj5HBPyyovCuZbuZ1FcoRuh9rq+0zPh1Oz0RmoozNwgVZE5yPpyuW3DlXn9FHnLN/DuiDGByYnYqW0XO77MaJxJbSvAyYrouHqnBKv4AquYPlBBOpQ7vsy5kN/MctQTCB23QPNl64f1BztRT7xDRg6O7NRsyHu/HXk8w9CbBSQ8NIPoaYZloCECkWFri2IT/0n5GgfFHKImmYINyGqvKeaB1+sMCKRY32IBUioW7fz6a6d/OnBZ0gXS3vIP9C2kRZ3oKrjmA+yWEC+/Uz5QdNAjg8iloCEenQ7t7eu5aqaFkYzCRQhJu9LHpRlYnj1ywYt5CL0KxvI9UQxIhlsHUH0Ju9lESNTTX9mrmAwFM9OE8uBSaI5GMsyGMuSr8JJ264pNPodNE6Sy6mfTX4nDX4Htll+E6oi0FQF/QK3/yxmBvoNqFhQOR9XSOgVXPZQ1u7GPP562bGFbrjLCaKmCYmg3NdXbNpzSSp8lwpy5NwcAjoF88jLqJMk9Aqu4Aouf4iWbpRP/EeIDEIxD/46CDVc0ioox14vJaAAxTzyqW8ibvgY8tG/nd4szx1Bdm5eErWPUDWobUXUti56XyllebO2Kcw3Ngvt3jBf2XQLR6JDHI0OE7A52VrTRoc3tDRZodIsUbiUecD7f41J6IpKsztA8xKQ5+UOI5WnOJK0WnUCDrRaN6pz+fVZLmfl0Oz+zELRpGCW9mdKKYmkCyWyWeunRTbHk9U5pIfcNpr8DhoDThr9DpoCTut3v4OQ2zZ9LRFCoCkCXVXQVIGuWD+n/q9cJO+JpSiDnH+kyyco7JcU0jQgPm7dGNz+qlc6l/w40gnIJEDTwVdjOdQmo6Ao4A0j3mdQeNYoMJyOM55NoSkqDS4ftQ5PyQ1bGkVITEx+FgHL1bZaNKyAddfC4ZdKNou9v1JSJZPStD7vYsEyPyrj8GdGRxHpOFK3Q7gJZRbxM0yTSDqGMplBKT0BfG4/+nmVWHOsD5HPIZ2eij1lZRFsgps/CU99s3R793bLWGL2a0wMIrJppMOFEmrkfMhcBpIRQIAvVGL0FM2nGUjFSBXyeHQ7TS4/fvvS97INJ6J4UxGUYp6c3UXK6aGp2mpBpfgVsM7VZYSCUWQ4k2A0m0QRUOfwUefyos5aaZ/IpRhMx8kU8/hsDhpdfrx69fIjQ5qMpBMMZ+NICbVOLw1OL9oi++VkNmVF2Kia5fR7CfrtxrNJBtNxskYBv81Jo8u/YGj8coU52ovIZZB2F0rt+6/c/FLDGwTkzD3gUspwI8PIMpJWANLxuWQuk7IWzS5Qy0m1EEIg1l+DPHug/HiVxDaSS/PC0EleH+mh1ullJJPgWGyYz3XvZoXv/ctYhW5HbNyLHD5bZlAggnPvaVcwP4xUnvgTp8idmIkocG1vwnNtO4rtF7vfcrGo1J9ZKJqYk7EnQ5OVy9kmQIMxi2hmq4hf01VBo985WdG0SObUzwa/A+esHljtPGKpqZOkc7LKuRywlBEtcoHxK7gIkNFRy3L93WesG1p9B8reB6Bp1UWreMlCAXP4LEbWhZGWKPYC6ugxlGgP8vnvWTLXtbtRdtyJCDW8p9eI5NI83PMuLw2fnt7mUDU+t/oaNoaaUIWCjAwj33zcuumbBjR2oux5AJq6polqLpeDsRwylUdx6RByYpu0HhduH8reB5Crr0b2HbPcAFtWIerapsmXjI8j333OioEp5i2Cufdj0NKN0HTMTBJ6DiH3/RgZHQGbE7HlJsy1V6OEm8gU82SGz+J+/WfYTr8LQL5jPYmdd+Go78Cl263+oWOvIt96EplLg68Gc/d9sGIjimthS/ssJscaOnDf/ZuExwdRCllita2Mun20CoV6wIyPw6n9yFcfQabj4PJh7rwbuq5CmcyAk8NnMZ9/EHqPAsKKvLn2g4iaFnoS43z31JvUKS62a/WIYp4eT5pgXZDWRcrJjESOYsTq49JCTtRZ/bSpkXPUnHgD9j8N+QxaoA7P7vsYbVxBbWBhYi5qWiv3x67ZtajjvJBIFnI8N3gcPS1pLbiQCryhnMIf8LKrtgO7pnM6PsZfHX6e+Cxi3e4J8fnV19DgWliunDUKvDJ8hgdPv0Vxsk9MQXB32wZuaOqeJnCyaFAcz1imFB7LKGfKlEKaJrL/BOZz30WM9FgkdOMNKFtvQQTKZ89eCJyIjfDXR14gOSs6odNbw6+u3k39rEUhM1PASOQRNgXV7yhdsJISYyKDEc8hHBpayFm1+ddsFCMZy4TMrqKGnKiO6isGxsQQ4swB5OuPWt9Dtx9zx13IFRtRF7PwdBFg5g2K42lktojqs6OGnBesP/+9QkZHMN98Ag4+b8UxNaxA3fMANHddmpxQ05y/anieSkN0rCu5b5uxMStexelBcV/cHj3R1IVsXTN5/Z+1ffudllP8AjBMk6cHjvH0wHEAEomZ7+qfHXyGP9py23uKTJlznB3rkI0rITZKYcVq1HgUpfcEYu/HIPje5hsXCtIwKUaymIksisuGGnKg6MurRaY4li4hoADpNwZwrK3F1vDLFcVl5Wdalcup/syCMVPhNE2TRLZoyWSn5LKz+jNHE7mqqnQBp05joLxsNuyxTXtezJbMarMqmqoi0FWx7K7H5SBkBWnanAcKUU5/aAdWAV8B9gAPA1+WUvYs2RFeAmzfvl2+8cYbl/owFg2ZSWA+/FcwMQhbb0PYHMjT78C5wyi/8m8RjUtjf77gcQycJhtxEfv5qek4D/vqMJ5uUA49Bj2HrAeGm1E+/HuIRZIUU0p+2nOAR8pkjikI/mjLrbQrOuZPvgpDZ0ofoGooH/tjRH0H+XSe4ukIiSdPWVEDmoJ3Twe2riC636rgFUZSxB8/ga3FDkVJPmLiv2UlWtCJzGUwn/hHmCPZFSgP/CGipRvz+BvIn/7VnOMU66+FGz5GNDKC/yd/blWRZsPpIXb/vyJQ0wwvfN9yaj3/Oe78DZQqHFsPTgzw1UPPAuDW7OiKQiyfQQL3d2zmztb1mK//DPnCg3Nf4/qPouy4Azk+gPmd/zLX5MMdYPzj/46vnXiFqxwN7DxuQ5y03ouwqRTubMXZ6idcZf5bcSxF5EdHMKIWsVJDTgL3r0UPuxiLjxJ8+adwaG5vkrzntxlpXkXTAtIomUliPvMvcPSV0u21baj3fQmxBKvxS4FXR87giUtqnhxDJiZlOLVOeq7x4K31UePw8P+8/TPSZULRu7w1fHH9XtwLVAEPRQb584Pl+6d+bfU17KzrwCwYZN4ZIvHMzPfIe8MKnFvqUXQNs+8k8vv/fY4ETjavRv3AF8qqApYag6kY/887PydXZnK/PtjIb6y5DqemUxhJEnvsBMWRFEJX8eztwLmudppoZk9NEH3oKEz21ji3NOC9tm1ReXi5c1GiPzqCzFufh31tDb69K+a4BZvJqEUmvGGUWYoQ87VHkS/+YM7zij0PoGy/verjuNAwMgWS+3rJvDUZ6aQpBO5djaNr+eQbynQc46G/RJwfoaWo1j2gYcVFPyazWICnv1W+Gqo7EHd8Hvnw1wCQTV0ot3wGpabZWiTsOWw528bHoK4NsfNuaFmD4rg4zslytBd56EVw+pBDp62Kcn07MjKMcvW9lqHbPBhMxfi/9z82veB1Pj7ZtYM9jUvTq5tNDtKXfYtjiSfxqw2sD9xHwNGBWKKc56WANCXZY2PEHj0Oky6m7mtacW9rRnEsHyKaOTpK7OFjc7YHP7IO+4r3mDywjGGaskQqO7s/szDpODuSKNObOfkzlZtPDm5BVQQNvrmVzCa/gwa/A/fkPWm5SGaFEG9KKbdfiOdeTERLJWJ5XAjxBHAQuAd4ELisSehli/FBRNdVILYhD76IzKWsgOoPfAnz6GsodW3v2558IchchkJaJf702WkCCpA7No6jsxN721rkFAkd74fRvkUbL4xlEzzRf6TsmInkzdFe2jXHXAIK1mr44Zet0O7xDPGfn5y+AVA0STx9mmB4A/idmAUDc6QfX8MJlBOvgarh6NqDOeqFYDtEhsoQUACJ+ZqVT8erPy17nPLwPsT665FjvXMJKEAmCf3HrVWzd58r/15ffgiaulDmya4sFIvsGz41/XuqWBqy/UTfUW62e1BfnxvhAiBffxSzYwP0HSvrMkkqSn8uyWgmwWZlLeLkTM6ozBvYnhkk9yEHVEFGpGGSemNgmoCClfOVeWcI7YYVeGPjc6TR03j1ERx3/gYsQEKF00Oh/VbU4GpEz8sIs4DZthPD3Y7Q/SwHcVE8n+Xw6AB3HvfPEFCA0Qyt/R4eN8+ys66jLAEFOJkYYygTZ6VeuRKZNQo83ne44vjDPe+yNtCAPVIsIaAAiWfPoLf60GudyHefK9uDJfqPWc6fLasXeLfvH2eT42UJKFhEezgTp1X1EX3kGMaYdQ7LgkHiyVNoYSf2tgDFaJbYI8emCShA5u0hHF1h7CuqI6FGMkfs0ePTBBQgd2SMfHcNzkkSak4MQ89B63PLpRArNiHXX4to6sIcOjs3SmQS8rVHMVvXoCyTXvTicGqGgAIUTWKPHEf77JblEyM0PjCXgAKYBuaBF1Dq2i96P7yi6ciNe5BnDkAqWjIm9nwUs+8kYsVGzLoNGJ527IFGTLMIh19G7vvRzIOHziAf+gvEvV+EVdsuyrGbJ/fDW09aaoeaZqvV5djrgMRcuQV1ARIaL2QrElCw1AxLRUJH5FleH/+G9br0MVE8x61t/zdOlg8JNSIZYo/NEFCA1L5e7O0BbPO41F9sqOVi2FSB6ls+n+VisVB/ZjJXZHCOXNb6/3A8O/tPVhEeu1ZSxZxdzaz12lEnCeTlIJm9kFgSRiKlzAsh3gK6gH8NfHP+Pa7gQsCUIEb7rNXKSch3n4XjbyDu+DVr5f0Ck1DyGcyCgiwTcFucyGH3lkrTZGJi0RrudDFPfh7zgZPxUaS9shxR9h1DFAqY8SzlriZGLAMEkJER1Ff+DhGfkaIob3wf2bwGs/E3EOXI4xSGziAySeRYX4WDkJBPo08MlB8H7KO9UNta0WhBRIcR2ZRFdisgZeTpn+c4U8UcIpOa5R55HrIpRDaJOXiq/DgQy2cJ2d3YR3Jzxsx4DpFZeGUQwMwWyZ2Za9+fOzWB59pWlHS8oqmQGOvDYSxsQ27mC6T2RymMatha7kDYBPn9aWRxnHBry5KaLUgpieTTmFLi0ew4qgxKzxoFGlU3ojcxR7pj60ljqxdkFnivs2WpZV+jWKDvvEnwbIxkk2SNAnq8vBmCGc8hPcBw5fNCpmIXpT9jMD3P9xBIFrKYafs0AZ2NfG8Me1sAM5VHllnBLo6lsa+obpHMTBcwE3M/r0J/HGd3DWYqBq8+hDwyU4WXB55HnngT5b4vIwpZS25fDtkkIpus6jguBooTc49T5g3MZB6WCQmV812fB05Y98ML0LO+EERjJ8p9v2uZDvUeRfhCyO6ryZu1FHMpcFoGK6l3B9FXFlBSQ5iVFgn3/RizvmO6ZeJCQUo5I8M1ijBcWmcoRkcWXMCzLzD3qHUsXcTTQPKtkt9ThRHSxQmc2hLE3SwRjESuZKF+ent8/mv3xYZW48J360riT58GQyJ0Bf9d3ajLLLv4fExLZc2Z/sypXs2CYTKWzE3GmWSmCeZUfma8zPz1fCgC6ryOSdnsTJzJFNn0TrZh/CJIZi8kloSRCCFWAHsnf71iL3mJoBgFzDJSRbJWX6LZuubCV3p0B4qeROgqslA6qVMDNjjvyy3eQ1+LXdVRhYJRYVW12e1HaO7K2vvaNtB0lAqEY2q7GDpuGQ6dB9F/FCYGYD7Dp1AD0u603Bijw+Ufozso+itXq/LBBhy6HSo42+IJIm3OeSf6dlUnbHczlIlXGNes49RsVk/rnGO0I+0uRF0b8uirZZ/DoerE8hnyYRvnC0AVl07BVt1FVrGr6I3eOf0neosPoanIeT5v6a8lr2gsaDulqegNXooTGRS3E6EpCC2LFnAsqQRqOB3n5ZEzPD1wjLxRZHWgnrtbN9Dpq1nQ9MemaIwaGah3wblSs6RCg4OMSONYwNTLtYD5il3RqLG7K5JVv82JTVFRPOWfR/HYwWaHQCNEyp/fYgknlfOh1jF/ld2l2REooIo5k74pmazi1BG6YsnyZ48Hq1/tFw4N4dSQmdJrnF5vfQ5irB/zyCtzd8ymkMdfhzW75vkeOpA217IxXShbHdEUq69+mUA4PJXvAeEWyzDvEkE0dCAaOmDnnUhTku+JEv3xkZlKvCII3LcGYddgOGIR5nIYH0CkE1AlCU0Xcgyl4+RNg4DdSUOVPZiRbBJbTTPOvrmyTIC0w4VRyJdkW5+PeoeXLl8tJ+OjZcc3hJYmJxSgzrWOM/Fnp3+3qz4c6nuM9bpAkE6t7K3ddC0fKS6Aoqs4N9Zja/VjpgsoHhtqwHHJydNC/ZnpfJGhWeRythHQcDxLocwCwPlw6mrFamadz46uKhdMMmtk8hjJAqpbR11ES8jlhsXkhJ4utxlwArNn0hVKKldwoSETcwnT9NjZA4jtd8A8N4mlgHC4UOwZvDe0E39i5pSxtfnR7Ek4d3bmwe7AewqOrnN4uba+k+eHykitgF11K6z8S3/tZOZayRGibLweoSgoPgeO9XVkD43MHOeKIMrkSr48tb/yQYz1w7rdVtB3GcmXsusehL8Wc+edyMe/MXf/jo0QbsamamBzWM7Bs6HZsLWuRoSbkKu3T8qeznsnO+5CCc6fLSqRXF2/gkPRwbLj1zd0kfKG8V91c1kpoNhyE9Q0IYRAaj+ZO0F2uGlyehECTrnTrKtzwchklURAfk8Dire6c05oKu7dreTPRaerUsKp4d7WhFAVUr5afCs2wZl35+674y7SLjeBBV5DURQcG2pRfHYyB4aRBRPH2lrsXaESA6T3g7FMkq8dfr6E+B+NDnMsOsKXN9zAugUcGgN2Jy3BEPGtDnxD6Wl5p+LWGVppY2uwjbDdjU1RyyoCml2BBY2JnLqN21vX8TdHymf/3dW6Hr/dhRk2cF/dQuqVmYq+e1cLWtiJYtMwNt8MZ96es78MNVoZhxcBnb4aNKGUlfp1emtocPlQFR3P7laSL56bHlPcOrYW63NSgw68t6wk/tiJ6XFbR2CaQFYDzefAf9sqog8dmZ5Yag0e9GbrNWR8rOK+sucQ7LwTsflG5Js/nzMurroJWffes4iXGnqdG1tnkPzpGeWC7+ZO1GVSBQWQ3iAyUI+YswgoEBuuu+CtKdVCFgwybw+WSMExJalX+tAbvYj5qrUON1K3VbU4cTo+xk97DnA4OojEWmi6p3UDm8LNBOzzL99F8xmMllV0lpPfu3ycsjloyqfnJaFO3cYnunbw1YPPEMmXqhI+vnL7kkadNLg2syb4AU5Ef45Hr2NH/W/hnqc94WJDSskxIrRf20r2xd7p7frqMK+bQ2zJOQlcgip9JQhVsaJPLnLL93z9mfmiwUQqP9ObOYtoDsayTKSqizSp9dhpnCSW1s+ZPk2/U58kmRdXMpvvi5F6rZ/CYAKt3o17Vwv21sCSv85ywGKuwh3M74ArJ//NvYNewcXBfEYkDs8FJ6BTUOvasOVOEby/EyNlotgUVDWOmjpnrfiD5VR7y2cQ80hJKz6/onBbyzoG0zFOzFpVFQg+0bWdNk8IoWoo9/0u5tPfhD7LjQ93AHHLp6G+AwC9xoVraxP2ziBGLIfqs6OFHOh1VsVN+MKVV9KdHoTTg3L75zFf+D6c3A9IcLitCJepMPT29YjrP4J89RHIZyyr/a5tKFffg3B5cIz3W+P7n7IMpQAC9Yitt2I3iih2F+bOe0DRrEqkNC0Di+23Q+fmBT8rTSgk8lnubFnHz/oOl7yftf4GOjxh8gqw/lpEsWDJt40iqBpi0w2w/joUxcqXUz70e5hP/bPV6wdQvwLl5k/R5q/lc927+ftj+8js6KbbaEQvQtwlsdfaWb2IyYWt3kP4U1sojqcAgVbjQpuU/bh9YQrX3Ieu2eHkG5Y01+aEnXcRb+qkyV2lbDJVIPnc2enf06/3ozh17EvUh3MiPlK28iyRfPfUG/zBplvxLmCQcVW4lUfTB+m6M0RtWkMKQb8jQ0RPcZO/BY9u50vr9/K1w8+X9EPW2N382pprqopp6fbXc3vLWn7eV9pffXXdCraErcUhxabi3tmCfWUII5FD9drRwq5pMx/R2gV3/hbyuX+xIiYA2bYO9caPvyeVw3tBo8vPF9ft5a+OPE9h1gS53uHlM927pqvCzi2N6PUecmejqAEH9vYAWsiafAshcK6uQatxYUSzKA7NysJzL+6aaV8ZJPzpLRQjGYRdQ69xzZgSzXd9dnoRqg3W7UaYRatndPp7eCOs3oWqLoeOZQuq147/jlUUx9KYmYKVHRh2IS6SUUZVSMdRrroZ88RbiL5JKanbj9h597wLthcbsmCW9MFPwYhlMXMGItwMlRbfrroFZVZcWCX0JMbnOGnH8hm+dep1DGlyY/P8vduqUPin2DC/dfuvUvfij2Hy8zPqOzi3626eTY3zq8rC/d/N7gC/v/EWhjJxJnJJ7KpOo8tPk8tvLcguEVx6iM21n6A7eCeacGDXll6VUTANRjIJRjMJFCGoc/qoc3pQqnBdHssmGYxGaBm14d3bgSxaxojF0RTuAvSlIsuKhF5ITPVnFqaksrNMgDJ5Y1ZuZqkB0FAsS65Yucd4CnZNKTEAml3NbPA7sGnKspLM5oeTRB86ipmyWm7yZ6IUhpIEP7L+F9KNeDHuuAv/teEYcKOUcuh9HdUlxuXqjmuO9iIf/H/L9veJO34NZd01F+U4ZHwc85WfIFwB0DQQKnK8H7H1NoQ0pquUi8rsLINEPstAOspgOo5D1WlxB6h3+UryNWUuY1VDiwXwBhd08Ct5H33HMb/33+YOqBrKJ/8TYrLSIws5iI5AIW9Ncs4j1qZpwlif1UNqdyLDzSiTNxjzpR8h33wcsXqnVbkFSIwjj76KWH8tyk2ftB6XyyHG+yCXRrp8Fims0lTjjdEeDkwMsCXcgoJAFYKsWWQil2YoHeMTXTtQI8OYbz+FaFsHRgFUHXnuCMqWmxCzM1HTCUuiLAT4a6YzaE3T5GxynDOJcYYzCeqdXlZ4a+hcYrfZvGGQSE7giU9APoPh9BL3hmjwVkdApWES+cFh8j3Rku3CoVHzq1fNcTFdLExp8qcHnuZYbKTiY/7dlttp9y68pJwq5BhMxxlIR1GFQrPbqnA61BkZ4UgmwVA6RtYo4tZsNLkDBBeoasxG1igwlI7Tl4oipUmjK0CTy4drkfmaMj5h5cdqOgTqLroLpZSS4UyCgXSUdCFPyO6mye1fsMJzMWFdn/+H1R5xHmY7XRuFHMpIr/U4pwezthX1Ms07fb+Qpmldv3Npq/3BX1vVhFAaBvLQi8in/hk6t1hOuNKAXAZ5eB94QvChf416kWNOKiHxwtkStQGAc2M93ltWomgKcuQc5nPfnenLFMJyWN9+R9k85/PxZN9RHjzzVtkxr27n9zfePK+zeLFQ4Ntn3uStsV5uCzbRLsFUFN41crwUGeKBzq3c0NS94HGMZ1N8//RbvDU+U/3z6nZ+Y811dPvrLrnEs1okCzmeHTjBI70HMCfn0Lqi8rGV29lR0459gXaJI5EhzP4k4cfmTpWztzbxmjfCAysvjuHUxUCl/sxC0WQinWfwPKfZqermWLK6ambIbSvrNNsUcBJ06SiKsixcZqtB5sgosZ/Olb377lqFa/2lielaFu64wD9W2G4CUeBV4MdSyurOmitYcii1rZh3fwHio9aqu1EAmxOZjELzwjeI2TDH+iA6apGNYH1VN7opyBNvwsGX5lQRZd9xxCf+/aIjWSrBa3Ow2tbA6kDl7C9hd8J7lbHVtyNu+SzymW/NZLvZnSh3/zbMImZCt1sGQpWOQZqWIZSigqLOlRJoOsyeLNtdk/1KM48UmKBO7q9qVt5clSR0la+WOoeHaD7DqfgYOaNIp6+G1f46K1PVKGK+/hiRzs0omo5hFFA1G2bbGoKvP4Zy86emc1GFywtlskkVRaHTV0unb37Jk5TSmlSm49b79NchFrhhz4ZNVQn7a2cIOyzcB3o+7CruqwLYPBmQJkbBTfp0flEpx9Fcmr5UlKPRYXRFYU2ggRZ3AKemozD/30VU+UJu3U6Xv5auCn3DuWKBaD5NfypKNJ+hzRPCa3MsioQ6VJ0Ob5iOKkjxfBC+EPgunV2/EIIGl6+qfNRLBev6/NvIx/52umqMUBA77oSWmeuzqtuhuWvm94t9oEsEaRoQGbEWJ2wOCNZPL1pVtX8yQvHtZ1DeetxaRLQ5MHbdg7ruWlR3FX9nISy1xKn9c1srfGFrfJnAsaaGwkhqWt6sN3txXdWIolnXElHXhrjrNxHj/chMCuEJIGuaUar8rh+MVDbASxRyTORS85JQTde5vqGLwXQMr6JiK+QxpcSv6GwONbGyisXGomnwWO/BEgI69fpfPfQsf7zl9iWV5F5IHIoM8vC50sp0wTT45xOvUmN3s2aBPFJFCExRuQCkX2TX5veL+fozMwWDoVnEcrqiGcsyGM2SKSxsXKirk5Emk+SycRbJbPA7cOrqL47LbIXL0rJSmSwhFhPR8rkLeSBXsDQQuo751pNW/AmAbkdcc3/VUlyzmIdTbyOf/pYVEwLgCWLe+hmUFZsW3F+mY8g3Hy8/mIzAxFDVkSxGMkdxJIURz6EGnWh17kW7lxYjGQojKWS+iF7jRqtzI2ZdkArRDMZoCiOaQ/HZ0Oo86JPyT6HbYf01iOYuq9KpKBBsRASq7y2R6QTy7aeRrz0y00vTuhbl5k8jQvWYzatQXD7ka4/OWPa7fIhd92L6wihMBq4/8y8zcixFRWy7DbbeWpXkMZbP8cLQqZIe2mcGj9PmDvLJVTsgkya6/lqcB57HcfQ1plT32TU7iW7cQyg+AeHqFyEqfhaZJPLwy8h9P4ZC1nofG66DnXddtHxOoSr4Nyvw5P+ZNp3SHG7sez6F4qxuuj+WSfIPx1/m1Cwp+KO9h7i2fiX3d2zi2oaVHImVF4O0uoOEFzERr4RsscArI2f4zqk3ShZ7/DYnv7nmWrr88/cKLyXMbIHCcJLiWBph09Dq3djqLo4p0VJCFgwK4xmMaAbFqaPVuBYtx10IQrfBlpsnCZIBmg1pdyOUmVtxMZ7FGE9jxHKWCUitazq3eDmhMJykMGapbvQad0n/rMymkAdesGJFphbwGjtRbvvctLJCSmldVyeGrGtjsN4iqqqGNA0Kbz2J+sbPZl4wn0V94fsUVB2x5aZ5lSBCVZHBemvhr1yE0NprUJbRgoVe67HkzRMZkBIt5JzTo664/ZbSZvL3xUxJXQuYMOnKwlPBDpef33MEUJ/8plWZBrp8NRTv+DXsnoUXoIYzCV4aKmctYhG4Y9Hhy4KEJvJZfnL2nYrjT/QfodNXM6+8uNbhYZ86QE2dCznloYClyBl05li7gG/ApcDs/szCJMmc6s8cn3SanW3+MxCzSOdoIldVpInfqZdWM2f9v8Zrn6xiLg/J7IWEFnKi+u0YsRkzMsVrQw0tH1XPUmJ5dOZfwZLAHB9EPvI34PAgrv6A5SEdGUG++AOEL1xVnpgYPI356Net3sMpJCPIh/8K+ZE/QDStnP8JDGOuyU7J+MLW1wBGKk/88ZPkTs0YX7h2NOO5pg3FVh1ZKIyniXzvoBUbACAgcP/a6UB1I5kj/UY/qsigukzkiErqTATP7la0yUmfUDXkFGlWFPAEqnrtKcgz7yJfeah0Y+8RzKf+CeUDv0Nes2F//nuln0s6jnz+e+Q/9Huohawlw5rdD2QalomQN2QZBy2AwUy0rInTuVSEfcNncNd34Xj7KRwl7rcSx9FXkXYXkW23sRQ1Lnn6XeRz3yl9H+8+hywWUW75FEKzUTANRjMJhjOWK2y900ud01viKNubijCUipMx8nh0O41OP41VyurkxBD89M9Lz9FsCp74Wwj9MSxwfksp2Td8uoSATuGl4VOsCzay0lfDCk+YM8nSvjNVKDzQuRX3Ekgre5Lj/MupuS0DsXyG751+i99acx1hZ3VEUBbzEJ+wqkbe4KKltInBGGMiRaQ2h45CeDxHrZTY6y+f/hUpJZnjY8QfnWVMtCKI//au9y3RnoI51o/86dcgGZ07eM8XoHs7xWSOzDtDJdJM+5oaPHvb0X3Lh4jm+2JEfnxk2glYODSCH1w7nW8oe48iX3iwdKfB05iPfR3lQ79vSWvPHsB85G9mnF8VFXHjx2HdNaQjwzj2P1n2tfVXHibRvhZ/eH7jK+mrRdz4CeRT36TEgrR1zUzP/jKCkchZ8RxSIjR1yYzSALbWtPHmWG/ZsXZPiPpqcpxHelAf/Toln2V8DO0nf478xH9ALFD9SxZymJVdFjiTGAMufK7w+0XayDOeq+y/eS4ZIWMU5iWhIYebltoazu5O0drrQu9JUaxzMLHayUk5ygddKy7EoS+ISv2ZmYLlNDtYIpedIZ3J3MLzOlUR1Pvs0wZAs3szG/0OPA79fUtmZTFvXV+FAE9w2ZiPLQZ6nQf/3avJHBwm3x9Hb/Lh2liPbREmeZcTFv0XEkKowBogCOV1Z1LK59/ncV3Be8F4P2Lj9RbxfP1Ri9jUtCD2/gryxFuYbeumexErQZ45UEpAp1DMI4fOLExCXT7E6h3IA2VOAU2fN9Oy5OXG0iUEFCwDGceampLm7GI0gxHNInQFLeQqiV3JnRyfIaAAEuJPnkJv8KJ6bBiRBK66GLJgYuYVVEce3T6KjHlgkoTKoTOYz38f+o6CUGD1Tsv5torKoEzFkft+Un6w9yiZVJT84Cns5Yi5aZDvO4bN6Uacerv887/8ELLrqnnlzfF8lpeGKmc57hs+ze3uEK6DL5Qddx58gfy6ayBQXWWtGMtSHE8jcwZq0IFe77GcdVNR5Es/LL/TkX2w7VZSgTqeHzrJQz3vTvfZqELhQx1buLahE6dm42h0iGwszXrTj0wXkV6dx6Mn2VLXtqAUGMAc6Sm/SCIlxok30BY4vydyaZ4cOFpx/Mm+I/zrjTfxqzVbOOgc5un4GbJGgQ2eBq5ztrJCDSx4jNXgaKXYH6AnOcFQJl4VCZVj/ZivPAQn3rRIaPt6lOs+jKhvr+o4xqJRHs4e45WxmdxAh6rxucAONko3ahUmHcsBRjRL4onS70n+TITCcHLJSCjj/eUJKFaes9m+HmMiR+rV0t7A3NExnOvqlg0JNXNFUm8OlETRyGyR1Ov9aLUuhCwgX3m4/M4j5ywDNocL86G/LK1SmgbyqW8iws0UinkclRYss0kKmYVN+FVfCGPFRsyP/xeMpFXpVn02NFcBJTQ/YbrYyPXFiM0yIxF2lcD9a7G3BZbk+ds9YbbXtPHG2LmS7Q5V58Mrrqqud/rwy5SNCstlkMM9C5JQ5wLV2MYq42LAWjQayybJGUUcmk7NRYqDAiveyqvbSVSIzQk73NirqCyvDzbRo43zgnIO0WSSkFE2+F18wL8RzwXsqa/UnxlLF+iPZkp6Mqd+DsdzGFWUM912dTIvs7Q3szHgoM7rwK6pF0wyK0d7KQ6PYuj1yLxE9Y6h+gVq8NL0Ub4f2Jp9qHVuZLqAcOmo+uXalLEwFkVChRD/Efh9YD4di1zs817BEkHTLRI5OEvyMtaHfPY7iJs+aU2+FyKhcyJNZiExseAhCFWDLTdZfaHnGSSJvR+DQHUXBDNdKH98syY++f44kR8cmo7zsHUG8d+6EtVnXcALQ3MNQMxEfibyIjtELu4k8crE9L3Vs60Ox+BhZFMdRIYwH/wf4PYhNu61Jkln3sUcOoXyka9Y1eX5UMxDsvJnlpcSZR6XRj02SjGfo+KtO5OgkMtgm4eEpoo5YvNUpgumYVUiKk34jCIUqwvPLoylSTxzmvzZKIAVan3vahwrw5DPWXLscpASsimORYf58XkyJ0OaPHjmLeqcXnw2B1qsSMcRg/iBSUdXVXDH7V38ZOgsbs1O/QISu2JiouLFSYz1L/weTaPEjfZ8RAsZCqaB40CMTWcyrFuzBtMm0A+kkf29iM/VwhIUCCdy6XnHM0b5789syNgo5g//tPQc7TmEOXQG5WN/XGJIVQ6mlLwwfqaEgAJkjSJ/c/IV/sjlpuMiyoLfD8x0YU5GKIARmUfVUQFjmSSRfBpVKNQ5vXimKt+5eZ4rEYF81iIhZeZ6ZpUGHRcDZrZIcTiJ6PKTWOkiL0zceQX1ZAozY6BqufnvFfmMdZ8pI5MFkMdfx1i7u3JmqstHukqnYCNjI/n8WfLnYoBF7vz3rsFx6dqX58AoGGTeHZ4moAAyZ5B6tQ8tvDSS8Fqnh3vaNrI53MIrw2dIGXnWBRpYF2xkVRXfUSklcsq9vRwqXdtnoc7pZUOwkbFsih217SCsRcbeZIS3x/sWjK6awng2xUtDp3iy/yg5s4hL07mzZQM76zouiqNswO7iztb1fO90eaOn21vW4agig1ZXVLr8dbR7wmSMPJqiLpjvXA3O78+cqmrmisZMbmZ0bqRJLLPwPUMB6hRBW9hNQ4OHOr+zREIbdNsuiWRWTgxS6B8hdc5F7tgZa6Om4L9zJQ5tYlGGlMsFqq6C/xeXfE5hMTmhXwH+8zwPmS++5QouBqQsJaBTMA1k7xFYs3vBpxBNXRaBLIfa6jI9RW0rygN/hDz5lmUI4atF2XwDNKxAVNlwrwXKrASqAtVnTeiMdIHYz05ME1CA/OkIud4YrvXWvo6uMLnjpSRPb/aiuHVkOoGZyJN4JV0y6Uu+GcF2QwA1PoLsOYTYdTfExpBn3rXiEqYchkd7Fw4Id7itHNH+E3PHFBVd1UiHW6jUIZiu70DXNHRNt4w5zoNZ08KEEMy3/uzRbXR4w2UjQ8DqITQdHnD5ZsxSZsPlQ1ZpflEYiE8TULCiB+JPnEILOlEdLmsBolwFT1EpOtxzjB5m47HeQ+xp7GJz1kv8wNmZAUOSeOI0d394NafSsXlJaMEwSHgCVKLs8eYulFwa/zzv163ZqHd4Gc4myo53++pwajqFziDZQyMob41afb2AVu9G8Syup7kSOjwhXhk5U3ZMQeC3LTwZk8M95RdJcmnkuSMLktDRdJynho6XHTORvDXWe9mQUMVtQ9jVkusJgFZTfR9OupDnjbEefnT2bdKT39cml59Pdu2ky1+L8PgrihFFczfS7kb1Za02ivOqDqp/+bjjKm4bmTua+cnEUQ5O9j7bFJXbtq7majVPjcNtGS2dLJezLKx86InKBvoyPk7K7UPdciPeN+YmvkV23EGsykpRvi8xTUDBIneJp08jP7gaZ6j66plhGIxkE0gE9Q7PksblyHSBwtDc60lxJIWRLiwJCY1m07w4fIqnB46x0leLR7Pz8vAZ9g2f5rfWXl+Vi7lo7ET2zXXtBKy/6QJwqDof7NjCyyNn+Hnf4emM4w5vmN9dv7eqftBkIcd3Tr7Ou7OMltLFAj84u5/RbIKPdG7FfhEkmFtr2jgdH+eN8xbgbmtZWxWpnw1dVdHVxZHnSv2ZiUyR3kh6LsmMZhiKZykYC1czHboyqy/TyRqHTvjdYZpUhUZFQRcCJAT2dpELuZaFy6zsO46hriJ3bNb8t2iSeOos2v0r0S+fzpBfOizm2/qbkz8rkc0rBPRSY75ezOFzKGYBmP+GJlq6kW4/pGKlA8F6qKtOogcgapoRNc3IbbeDqiKUxd201RoXvltXkny1F8WhY2aKVhj6pGmQTBcwJjJz9sv3xKZtrG1tfhzra8kesqq7qt+O75aVKHYNGc1g5ihbdTAKNvRCHmwOK99zVrVSvvEzi1g2dC54wgu7E+Wa+61q6nkvJLbfgcsbItnQjuGvQz0v0sP0BDEbO+lTddq23Yb71UfmPH/q6nsZMc15SahXd7Kzrp3XRs7S5PazKdSCKgSnE2McjgxyR8s67G4f7P4wPPV/5j7B7g+j69XdIAsDCZSAnfyGINKmoA9mMI9FMdMFtJDfykN9+C/n7Ce23kLKE2CwHAmeRKaQJ1XIYUbnkjhZMFAzBilt/opt1ihwUFXZXdOCNlYqecTh4UyogSajwHyiMK/NwX0dm/nboy/OfR8I9jauQlNURIsP56Z6Mu9apFvx2vDfvgrFsUQk1BfGpenTZGc2dtV1UO+o4q47XtkxUw6chKtunnf3VD5bkst5Pk4lJzCkeVlIcrWAA//d3UQfOgaT2XPOzQ1o9dWbSL070c+3Tr5esm0gHePPDj7NH26+jSa7y8r2PX2eqYluh1VbUcwCotaF96ZOEk+fniai7p3NizqOC43hbIy/GXqdsVl9cXnT4KdDh8mLIvd0bMa2/Q7M0+/OqXaKTXsh1IDIpioT8lVb8dic7G9awVVX34P3raesjGWnh+j2O3jB5eWaKnoYo9k0si82Z7sxkaGQzmEPulGqqMycio3y1ngvb4z2IIFtNa1sq2mv6Fq9WAiPjq3FT2a89H6mN3lRl2jRqic1wZP9VhvBifPuNT8++w6/sfbaebOFhRDIhhXWwur5EXC1rVWZDZrS5O2JvunjmMLZxDh/f2wfX9l8K/XO+ZUsg+lYCQGdjeeHTnJdQxftF6HqFbS7+ETXdm5oWkVfKoImFFrcIRpcvgVlx9WiXH9moWgyHM/SO5GZ4zQ7EM0QqaAgOx9hj21SNuuY/tk42atZ47ajazNVTPvJceJHz1uslCCTefyzsrVzRoFYJouY/Hy0Rc753g9kdJSCMTehwEwXMDPV+ZBcwaXBYkhoK9ZMehT4v4ATwJW/7jKCcFdeaaemef6w9KnnqO9A+cDvIN9+Cnn8DStCYP01iA17pnMxF3VMVbryztlPU3A2FrBvGYOxPmjsQgnlpm2qhUND8doxE6XEQ2+amZyoXju+W7pwb2u2iErAMWP2oDtQbOUnIIpWtKRguXQJAZ3GwEnYemt1b6SpC+Wjf4Bx+BWk7kfkkyjNKxCdmxCqhivYyOhtn8V39FVcR14BaZJZs4vY2t14wk2kosM87A1y2w0fI/TWExCfwKxvZ2TrLXwrMcy9VVSnm9w+vrzhRl4ZOcMT/Ucomgbd/np+Y811NDi8eAt58oFVKNf/GuLgY4jIIDLYiNxwJ2ZgJd4ql5dSm/y81hbnmehbZNNFVjaFuWtdN36XdTMSbevgni8gn/ue9bnanYiddyPW7kZVdcIOF2NlMm7BioBxajaUcv15qkA6F5Yy2VWNtzNxXFffzZq+E7gP7QOjQHbVVnpX7+DB8V6+0rZ+wfe5LtjAx1du54dn356W5np1B59etXN6AqR67Hhv7MS1pdE69/yOpestxKq63d+xhSf6jjA6mTspEGytacWt24kWMvgWkqbNs2IvaheONXLoNitqoELWdIvTe1kQ0CnYO0PUfGYLRjyLcOhoISeKvbpbZCSX5kdn3y47ljcN9o/30iI0ZPcOqGtHHnjOmsx3bEBs3Is8dxjRuhZF03BuqEOvd2Mkcihum+UKbls+HS4DyfESAjobTw2dZEdtG60NnSgf/Qrmyw/BuSNWS8POuxGrtiF0O7KmGTo2wtkDpU8QqEc0rybkcNPV0MWPikVW3vopvFISAY4aee5uWb2g7B7gZHyU7no3nKeGUX12BospAll9QdJzKjbKXx95gXhhZoH36YHjvD7aw2+v3bMkRFRVVZwb6sifi2FELCKqeG24dzajOpfGnfnN0XMVx47FhhlMx/H6F6gue2sR19yP7DlsGeVpupVvHWxEnPc5mIU8FAsozpnFk5FMkp/1Hi771IlCjlPxsQX/HsPzLFQCjGWTF4WEghWhtcpft+jK52yU689M5Ar0TWSs/swpkjnZmzkYy5IrlvHsOA92TaHRP0MsZ4img+agE7ddnyOZ1VSBpsyVzGYrGGQpkxV6U5qcjo/zyLkDHI4OoQjBNXWd3NS8+qK5HQunG63MXFPYVITjF1/SejljMXe2XqAT+Gsp5V9foOO5gveDcCOEmmBi7kqhctUtVTuFicZOZE0zYsddVn3bX7+oLMclQd8xzB/+75lexWOvYjrcKB/5A0RdG6rHhv/2LiI/PDxdMdBqXdjbAyVPo9hUlDKuYsLtQwnYcF+lkdo/s1ruXONFZRz8G5G9s6RHimIl4jJ5A4iPVfU2hKqR15tJm7vJHY6ghZy417Rhc3oQWJU1NdzO+OYgiTXXgZAYNg9hjw+XzclIJs7b6Qi7a3bg2NCOJgxyQmdMh7OZHhKFhXvWJjIZvnH8ZaL5mZX2Y7FhTsRH+OK6PTQFG1FHjpKK1yMaHkDrVijGTWTchds/Dv41C77GeDbF3w++Tl965rM8lRrnq6mX+aJ/D5vxIOwORPd2ZHMXZFJgc0z31XqBu1s38I8nXi37/He2rqfG6SZWNLB3+MmfnXkdz54Ons70sCM0v6OgTdW4uWkVf3H0JRq8Pm647dPoQvBKKsKJwWN8pG0ToSriU5yajb2Nq1gXbGQsm0QRgjqHd86+lc69pcC5ZIRHew9ydf0KrrW7MaSJLlQORgZ4c+wc3f462haITRANHZbU+vz+Uk1HdCxMxutcPq6tXcELI+VjF3bUdlT7dpYFhBBoYRdaePFW+IlCtuT7dT4OTPRzZ9fVKM9+11rYu+7DoNuR/ceRP/5zlAf+cPoaa0xkSL3aR74/jq3Fj+eaVtQljrw5Hh3mRGyEc8kINQ4364ONNLsD80rRp3B6nn5PQ5rEsina/HXQvArl3i9aZFvVELOcxYXbj3LLZzDGIpOxJKAGHWg1vukIrFZPkI90XkV/Okoyn6NRt7HNFcBfZd/f/vFe2pu6UcNOjKkqoyJw39DB/xp+ic8Fds9LevKGwWujPSUEdAqJQo6Xh0/T7gmgq++/8qU1evF+YBUykkdKiRp0oNYtXfU7Vqh8boJVxVoISkMbRjaLHOlF2XkXGEXMbA7RtBZlMiPYTEZh4CTy4AuQTmC2r0d0XYVo7CSWz0wrJ5pcfprdATLFAkejQxSlydHoINfUd857DPoCMmjtEuRrZot5QJTtAy2Xn5kvmowmc/RGMgxE0gzFLYLZH80yEMkylszN4yE8g6BLn3GYnTIA8jtpDjqp89qxTZoAvReX2dlQa1w41tWSPTzjF+La1YI62apwOj7G/zzw1PRipCklLw6f4p2JPn5/4y00Velc/34g2tehjcbRm7wUBmak7d4b2q9IcZc5FsMs/h74L8DWC3QsV/A+IdwBlHu/iPncd+DsQWujy2eZEjXMf3E/H4put6qnlwAyFcN8/B/nmuVkU5j7foRy128jbHZs7QHCn9lCcSKDsKnoNa5FVZvU5g5cxePYAh7MvIqiF1HVGGrXJoSmI/w1yKtuQTR3W71zigqeIPLgi1Clk18xliX+85MUR6zKQaE/QfSHhwk9sGE6zkCcTaA/csLqBQMUcwhuWwmbXeiKyseCG3A93Etq1gpoQ8jB7desQq1CTnYkOlh2gmxKyU97DtLg8BH01+AOpTGiAYwU2OoFWsAAw4uoopp1JjFWQkBn419OvUG7JzTtwCjcgbI9ROtDTXyoZT2thRzhVByEYNTpZdDhZE2gHq/NwcFCP/7dNYQ3NSAzRYTfzuvmEGvDzTRWseq6MtDAPc3r+Wn/Ib4zq69za7CF7fXV2+ILIaibjI+5FPDodvKmwfODc6N3AGxVuDOKUAPKh38f84l/tHqcAQL1KLd+1pLYLQBNUbm9ZR2DmTgnEzOLMgLBJzu30naRsl+XA3RFRSCQFaaPPt2B4vYh7v0C9J+0jFwMA+GvQ37k30CDde4VoxkmHjw4bcCWOzFOoT9O6FOb0RaqVFWJA+N9/M3Rl0qk1E8OHONjndvYXtuGd4F+Yq82/zV2djSFsDsrmuEZBQeRpyPT5k/CoRF6oKHEiM1rc7DG9t6cbAN2FzJv4N3VahnrFE1Ut052PEWTyzdvhAbAaCbB66NnK46/PtrDDU3dtFaZe10JuWKRN8Z6+M6pN6b7JLUxhfsLm7m2fiWu96gmmo1uX31FR22HqlfVQw6gdnRTcNZgiuJko7sDNWwReTOXgXefK4kkkyM9yIMvoNz3u9g8foJ2F7c2r+FcMsLZxDge3c49bRsZysTxV9Hn2+QKICjbRYOuqAtWUpcSQ+k4Byb62Td8GlUo7GlcxUpPHTbsZApF+iMZzk2k5zjNDsaypPOV2ximoKuCep9jjtNsU8BJS8CF16ldEJfZOcfhd+C+rh3HmlrMVB7VZ0ertTLbM8UCPz77Tlk1TKKQ453xvotCQqltRc8cwbdZUNzSicybqF4VzWvOqdJfwfLCYkjofwd2AvcJIX4KfAcYoIwk90pEy6WDCDei3PMFKwS8WLBy/y43Z7D4GJzXtzKN0wesCVyoAaEI9Fo3eu17XDHOJODgM+j17VZ8jCGQA2ehzYrpkOuuRRzZZ2X7TUEIxA0fR9Z3VPUSxYnMNAGdhiEpjKSwtfituIPXJ11ZZ5mRpF7rx9FdQ4c7iHMsO92nNgU5kaVbNuC1z//ex9KJivlwAGeT40zk0wRzWXj9+9h2dIPtFLAS47njsOOjVb3P10Z7Ko5FcmkmcukFYwB8CG6ZGIHnvsvUNKMGwdpbPoXSbOXHbQg1c0Yb4x09TtqTx6s76HQ10FpFWDqAU9HZfdbFmvqrGdKzGNKk3nQSOJfH167BhXPGX1J0eMMVJ2M+3UFDFXJFANGwAuUjfwCxMSuayVeDcFc/kat1+/jtdXsYSIwzlI7j0DSaPSHq3QH0i9gTdKlRY3ezo7at4vdgb+MqFKFAdBTzqX8uXWBbd42lYtECFMczJQ7gYPU1FcfTS0JCexMT/NOJ18r28n739Js0uQOsXoCQdPlroa/8WI3DTbiKxSApJZkjoyXuwzJbJPHCWQIfWFt1FvR8uLqmHbFvlNiB81QriuDjn9iEa4EFJClkRak5WFXf8t/AxeF0YpR/Ok8BUpQm3z+zn7DDw9aahReEFsLaYAOP9x8hW6bieVvzGlpcgaqex0jlKUYMskfGEHYN57paFL+JoimI8X7MV386d6dMAnnkZRr2fJh72jbwLyffoDgVA5exZNNXhVvYEl44u7XB6eWjnVvLOtN+etVO6qrMRl4spvozi6akUDSJFZP873eeZThWIJNWSKcVHnv5AGbOhpm1M5rIne8tVha6buJ0mbjcJi6nidNtcnVLI3d0rKbe48ahKVVJZi80dL8Dvcz1J5ZPc6JMZvYU9o2cZk9j15JkY88HIRRoX4+WjKLFRq2cUH/dou5lV3BpUDUJlVKaQoh3gPuBOyf/lX3oYp73CpYewuaAuoV7upYv5lnJEyyJBZYsFjFffQR6DiF7DpWMmYU8yr1fRCTHkW8/fd6OEvnMv6B89CvWxHEBVCoiTvW2IsR0BbQEqgABzSZkdRvl1k1rnV7CC1QpFaEsaL4hEIj9D0PPEcyeo5PmE4cQSNAeRjb+5oK9veoCf5Sq/mSjvfDcd87bKOHJf4baNmi0qvkrfDWseB9VNiWSx/tmxOp1VQQYURS3Dte+56e86Ghw+fj0ql1zJq+6ovIba64lWKWjMYBweuB9TN68Ngerw82sDl8a5cRygK5q3NW6gVPxsTlB9tc1rGSFtwYiw5gPf22uwuPwPmT7esTaqyte+sQSuU6OZBNl5aVg3bh7kxOsXiBGq94d5sNtG/nBudJ+Trui8aud26mpQh0giya503NjPQp9cWS2COeR0PdicBXLpdCUMtceAQOZOG2Ga94+8lqbhy3hFl6u4EK9JdxCeHIRUBbzEB214q7c/oXjuyaRMwr8rO9IxfGHe96l2183E/PzHtHpq+ELa69n/3gvAZsLAxPDNHEoOltrWlGqlLFmj4+TeHImTzd7eITgR9Zj7wgioyPlM8YBeept1Ktu4bHewzMEdBb2j/exp3FhEqqrGtc2rKTZHeD5wZMMpmN0eMJc27CSdk/QWuh5jyhOksz8pBFQtlBkIJqlZzxNf3TGCGgolqEnkiKbtwPl/i4zPhWKYLqaaeVlWj+bwzYeHXuNtJyrUOrjHAF/N23+xbcFXGwIRMXFUABNKBeVMAtPAGbJ/q9g+WMxES1fAv4TM+fb+WfWlYiWK1gaBGotKXC53MbuHeCt7gY/L+JjcOSV8mPnDkM2iTz2RoWdJXK0F9G6esGXUUMu9FYfhd4ZQwVhU9Em+30Um4rn6laiPy6diHh2t6E4dDymB9U5QcKhWZOzSWiNHryFMXDNfwwhp5udtR30pd4uO77aX0eNZoNTU+MSsrPyVU+9DfFRWIBg7Krr4K3x8hXXeqe3qjBxeeZA5bG+Y4jGxUnKy0GoCu5tTeRPR6wr1qRlvXt324xp1WUAXVHZWdtOo8vPgYl+BtMxuvx1rPHX0/I+5YFX8N7Q6Pbzextv5nRilHfG+3FpNrbVtNHqCeLR7VbOYrncS0DufwrZdRVa2IXis2PGZyayasCOFlqaCWl+noxbgFSF45sNr93O1bUr6XAFeSvSz2guxRpvDWt8DbSGqjNpEZqCfUWA4nBplrPW5EM4JntjTZNYbARzrB+ZSSLdPkSoiYAvjL6AlLaYz/P00EnuaF+B711KZslycw0PR47yKyH3vOoMu65zTX0n+8f75lQQ7YrGnsZVuHQ7MjqCue8ncOxVKybN6UHs/RXEyq0I+/zV63SxwLl5sqQH0jEyxcL7JqEAbt1GfyrKs4NWZJhLs3F/+6aq5b7FiQypl8+7xktIvzuM3uaH+XpjbQ5ywjIOqoR3J/qrygp1qDprAg2s8tWRN4vYVK2qBQoppVXJNGb6M2OZAj3j6UnZ7IzL7GAsy1A8i1FFOVPTJC7XVEXToM5n41e6N9Hk89AUdODQ1TmS2dOJUdKjlft0D0cG35fh0cVC0O5ic7iFt8fLSyP2Nq5akuzTK/jFxWIqll+G6UWPKxEtyxhGMoGIjyDMItLpRVkg72+5QTg9KLd9jsjZgwwFakkDXiSN40N4V+9CzDIAkJkUpKKgauALzzFfkkYR4uNgFsEdQEyZx5hFa9U21IjYebclxzUN5JuPw/BZ6zHzRd4UZiaJ/ckIo6koebNIwO6mzuUnMPk6mteOdnsHMhtD5FJIzYZwBbGFZmQitvYAgQ+uJfVaH5gS984WbG0B67Nw+XB6Iox/pouhXJKsUcCrO2hQHdhksSqzqW5/HQ1OL0OZ0iw6m6JyZ+sGguk46TU7GNt8I2OKQtYs4kfQ0nsM76uPgLFw/0qHN0y3v47j58moFSH4xModeCf7fZKFHAOJceL5DE7NRpMnTNAxORE83yBnNma55g4lI/gSEZRinoLDTdLpoXGSeOWNIsOZBCOT77XB5aPO6S2RhurNPkIfX485NgKmiQiG0OovM8k6VlXAb3NOT8hsqlp1b9dSIp7PMpqKEMkk0RSVGpefBk/golr0LxfUOj3UOj3sqpvbXyznI4CFLJgGms+F/PgqRCaGUsgidQfSFVgyZ+XAAvL9pipl3PaRHL4Hz3Jz2IniqMGIZhBaD4WPeNFDC5+DQgic6+rIHh3DiM70hPr2dKDYVEwpSYz04Hn8G6iz4pTyLauJ7PkIobr2ec8v0zTJGEV+mj7Jhz67iWg+SdE0CNjcDGWSnOuNYswTLzSF7kA9X1q3h2cGjvP2eB8S2Bxu4sam1awO1COzacynvgmz1TSZJPJnf4+43wOdm+Z9fruqEbS5SFcg/z7dgW3yfUZyaQbTMdLFPD6bg0aXf95YldkYSsf53weeIVWcuW+li3m+fcpaaN3b1L3gc0jTxMzNPYdlpmDNCkONlqIiM5doik17GV3gepApEzc1H1RFwamUEpwpI6CpWJOcYTAYzdAznqYvkmFgVm/mQDRLLFOFIZOAWq99xgQoaOO1xNFp4mmzlRJVv03h5vV1816LjclqcK3Dw+fqOgmaJmlF5duRfk4lxshUYRS1HGBTNe5u3cDR6PCchZpGl4/1VSwqXMEvNxZDQtuwLjWDwH8GzgILL5u+DwghVOANoF9KeY8QIgR8F+iYfP0HpJSRycf+MfBrgAF8WUr588nt24BvAE7gUeBfSTlPo8dlDjl0GvHOc8ijr1iTnpoWzGs/iGxYgXoxGsSXCD1ON3+tGERGZ5w3W10Bfs3hoBHrhsjACYxnvoMYPQeKithwPWy/HRGwVhBlZBij5xRGzo40BYq9D70xbJk0eYKw92NW/tnz34N0HBxuxLbbYP21oNkQK69Cnh8hMIXaVkzT5NB4H/9w8tWSvMaNgQY+tOIqmjxBJlJRGDhE8OWHrOqr7iC15UYm1u4mNGn8pNhUtJATz3VtgEBx21AcM1/NIzYb3zj6ArFZ5kJtniAfX7mDamqDAd3BRzq3cjQ6zFtj58ibBusCjWwKNeGz2RnX7ZzZdhsP9R6cJm8AdQ4vv3nf71ZVWRvLJlntr6PTW8NbY72kinlW+Wq4oambVZM9yUPJKN848QpnZq38+21Ofnv1NXQG6hEdG5DvPFP2+UWr5dCbGu6h9vib8PZTUMii+2pwXXM/Y40rcXh8PNV/jMd6D00XPhQE93ds5vqGrukVfxEfQX37IdQTr1vy6pbVKHs+Cq7qjYmqgZkuUJxIT8YDOdGCiyeIxXjOysNVQAu5UD0zk65TsVH+6sgLJQ7Jre4gv77mGhqqNM56vxhORnmk9yCvjs1EQNhVjV9duZ21oRacS2Cq8osCEaxHVhCvifXXIuwuhscHsZ15B9/rj1mTeaeX+M67GFmxkbrQ+5/QNTi9bKtp481Zf68p1Dm8VZ83U33uxngGg5nrkhHNVEVCAbSwi9CvbKQ4nkaaEi008x2Jp6I49v24hIAC2PqO4TzwAhPXhKibp/fU5nBwXV07ilD4X8efI2fOkKddNW18qH0z/iqcsMEioi3uAHe2rUcCYZsLz5SJTmSolIDOgvnKwyjNqyxzpgpwaTbuaF3H3x/bV3b8rrYN+O1OzsTH+OsjL5QYzLV7Qnx+9e6q/mbHYkMlBHQ2ftzzLutDTQuqVdSAE+e62uns4yk41tWhqArUtmDe8evIR/7GynWdQtdW6NiA1+bEqeoVCdamUHVyfnNKMmta1cx41qpm9k5k6IuUVjSH4lkKxsLTPYeuTEpmp0yAHDQFXLQGnbSGXDhtM9VMKQy+fmykotHTjtp2vAtUrkMONx+q6+SmXA7l59+AZAS/3cnvX3UrR5vXYlxGZjpt3hBf2XQLr46c5bXRs2iKyo1N3WwONVN7iYz7ruDywWJI6FmgG/g7KeXXL8zhzMG/Ao4AU8uz/xZ4Skr5X4UQ/3by9z8SQqwDPgasB5qAJ4UQ3VJKA/gr4DeBV7BI6B3AYxfp+C8qzLE+5DPfgcGZng3G+pAPfw1x/5fhMiGho5kEf3HkBRKF0ptmbzrK3x9/hX+18SY8YwOY3/+fiKnVbNNAvvsscqwP5QO/A9KkeOI48ZNuCv1WhU04NALX57CJc4iGDoSiIJ/59swLZFPIl36E2HUv0umF+jao64CRs6UHuHoX0l9DT3yUvz62b06Py4HoEJ6+w3x4xVboPYb/5/8wM1jI4n79MTLpOOPXfoiwJ0B+MEHsp8emKwKqz47/A6uxNfo4HR/l60dfLCG5YEV0PHj6LT7ffTW1k9ULaRqTcQh6ycSnNx3lLw8/T8DmZGOoCU1RORkb5bXRs3y6aweqovJwz4E5vWwj2QR/NXKKP2zsJDDP32swFePvju4jkk/j1mxsDrdgVzXOJSP884nX+HL3bnyeAN88+VoJAQWI5TN89cjz/NvNt1FX3wFta61cwdno3Ay1rYzGRgm9/TQcenFmLD4GP/s7Avd8gTfzNTzae15/L5Ifnn2bRpefTeFmZHwc48d/hojNmCmIvmOYD/4PlI/9MaKK3NVqYMSzxB4/Rf6M1fcmbCrBD6+bdkSuBoWRJJEfHMZMWmt9ao2L4H1r0EIuhjNxvnro2TkTut5UhH88/iq/s37vBTeDMKXJvuFTJQQUIGcU+frxV/k36x10hS4vFcaFhHS44apb4OSbiG23g82OPHMQhs8imrstY6eTb+J96UczO2US+J77LglpMOhw0fg+FxeCDjd3NK/Fqeq8PHJmuiKzJtDA/W0bqzb4Es7yUwexSEMh1WdH9c09T0VsDH3K4f08uA7vI7fx+rIO27NR5/DyPw89N8ex+NWxc9xtd1O3CCdVl26nrdz3qUzVbxoTgxYZWyBSZk2ggT31K3l++FTJ9m3hVraEWxjNJPjqoWfnSKV7khN84/gr/O76Gxb8rr89VsFJCqsiGstnFiShiqbg2tqENCTZI6MITcG9oxm9beZzVFZsRH70K8jxAUtJ5K+BmhYUb5Ba4EMrtvCtk6/Pee4Gp4+OWQaKU/2ZBcOkUDQZimfpmUjTO2FVNGfLZidS1dVCajy2mWrmZH5ma9BFa8hFrdeGTVWrdJnVuLdtI8ejI5jnnVt2RePquo4Fe1NrHV5uKRThyX+a2ZjLIF55iLVX3UJmV1dV72m5oMUTpMkd4NaWNShCWRL5+BX8cmAxJPQvgT8Htl+gYymBEKIFuBv4E+D3JzffB9ww+f9/BJ4F/mhy+3eklDngjBDiJLBTCHEW8EkpX558zn/CMlb6hSShREdLCegUTAN56EWM2hWo7qXLHrtQ6I+PzSGgU+hNRYmkYrjffR7KyakGTsJ4PyAo5IIU+qPTQzJbJPF2lsDWhNWrU87JD5BvPY7o3g7njiC23Wq5+518C1QbYvV2yGURqRgnZaGsyQLAq6Pn2Fu/kpbXyp9qzsP7yK+/FtPhI/Pu0DQBBTDiOVJvDKDd5qIvFZ1DQKdwOjHGUCZBrcuHHO1FHnwBeeItcHkR2+9AtK0lq9p5edgy1ojmM7wwVHp+pIoFoDCHgE5hPJdiIDExb+9UfzpKJG8R/ZDNRbfpx24oqLrJs4lxBnIpUtLkxKwYj9lIFwuci48RqusgsuejiP4TBI+9DkJhYvUORHMXIacXX98xOPxS+YN45ae49n6k4jE+1nuIVf5aHKPnSgjoNApZ5Kl3Fk1CZSFn5T6elxGX641NE1AAmTeI/fwEoY9vRnUtnCtoFgySL/dOE1AAYyxN5tAInuva6U1GKlYUrPMizkr9wq6mDyajPDVUPiLGRPLOxAAdgfplJcs1UnnMRB5hU1EDjiUz/JmNommQKubRFbWkH6o43o+2eif4wsh3n4VsCrFiI9z+eYz4OIoi8L7xs7LP6X3tMfKta6qOhpoPbb4wH3J4uLq+g0Q+h0vTqXf6CFZZGQRQ/Q7sVzeTbneSFwaOmIFrII9SxbldDeR8valGEYrz97aCZXZTKTLnycETXN2wkroq5ccVMZ/7Zl0bVGEQ5tXt3JFtZmtNLb0igYmkDS+1aY2Aamd/vL9ir+6ZxDiD6bjlWDwPFoo/qdbJWq9147u1E9f2JsudvmbuOSPq2xH17WX331Hbjkuz8YMz+5nIpdGEwu76TnbXdHFyIMfTExF6J6aMgGaIZq5Y/j47GzZNodHvsCqZkySzJeikLeSmNejE49Cn3WU1RUFX37vL7ApfDb+38SZ+ePZtziTGAdgQbOID7VUu5MRG4ZWHy4+9+yzuNTvBdXlVERUh8F2CdpAruLyxGBJ6EEsae6cQ4jHgX4B+YM5MaIkiWv4U+EOsHPsp1EspBydfY1AIMdW53YxV6ZxC3+S2AqVm8lPbfzGRjlceGz6HyMXhMiChE/P1BgLkc8gK+YgAMh0Hm4vciInWFSCzuxZTAce5NMXn+pFFG0o+Zz0OIFhv5fSN9cFoHxRyiGIes+84nD1gTfzWXg3FAvLpb1vmIh/8V/RkohWPwUSSKeZQKjTsIyVmKoaZKZA/Nzdfs9AXx8gXGJvVCxmwOfHbnIxmk9M9RMlCDjnai/m9/wa5SQlUMoJ89G9h623Ed97BwGR+Z4s7wKZQC6oQnEmMcygySEHOEPkah5v72zfjtTlI5LP8uOcdxrKpErlnOSQnFwyu9rVye6wB5bkRMCQtYScb9uxizCiilskpnY2RTIKexAT/49hL2FSN1et2IoFjiVEKR4f5T5tvoyYTt4w/ykCM91E3T3/sYDpG1ihij1a2k5f9x7DWvRaGjI4iew4hDz5vSbc334hoXW1loAL5nrl/U2Mii0wXoIqJuswWyfdEER0+8p0eMCX2YwlypyK4d7WWyKbLIVlhEacciqZBNJcBAT7diW2BQPgpZPLZslEfUzidilAwjWVDQgvDSaIPH8OIZEBT8F7XhnNjQ4n0/f3AlCZno8O8MHSag7Fh3LqdW+tXsjbcQsjpQXV4kW89YRnYTEIeeglO7kf5wO+gZNMz3+HzkU2hVBp7D3Db7Kyyze+COx8mnEWeDg+z79xZitLEpzu4d816NhZyBHn/JkrCEwCXr+w9zQw3Yy4QvVA0DU6n5rrvTiFnFkkVssyIrN4jgg2WWd7xudU9Zdc9llP9ApCJFOYbwwTHM4TsKgiBzCaRLh2zzcdYbp5qK5Bc4PoMsLNuBS+fr+iZxCpfLbVVGMdNv55ZYMKZQ0FQm9dx2spL7mf3ZxaKJmOpHGfH0vRGTFzRLiaiafqiOf4sGuc/Jl6uKuwm6NLPq2Y6aQtZRLPeb8c+Wc2cijRRLsAiE4AqFLoD9Xx5w41Ec2mEEITsLuzzmTPNgsimkfHyi7IYRUjPf32/giv4RcFi7r5PM2NKdNvkv3J43xEtQoh7gBEp5ZtCiBuq2aXCcVTaXu41fxNLtktb22UabzLfSnawHqlfHqtUC5mrSF233FonBss/wO5CKDqxm4LsGzvLvlPPUjANuny13Pmr6whEYii6HWpbEbvvg9Fe5Mg5xIrNsPuDyFceBk1H1LdbPaHpGLz589LXUDQa55FzCcCh2TD9dSgVekcUpwfFoaI1eEoqoQBanRvVphG0u6i1u/mUv5H64R4cw6dINnTQE27ln8Z6cGo68sBLZSev8q0n8Oy4kwanj+saVtKbivB4n2WR3+2v42MrtyGlJGcW+dTKHaxRPCSjecxCnDanwu81reOIELgWMD9yazYEgj1KM8qrA9PbzfEMoZciuO5qIqfMv5Idtrt5tPcgEkvO+W6s9DN7dOAIn3ZW7k2V/joiZuXXqHV4sasazJOZK+qr6wmV8THMn34NRmZkqLL/BHL1TpSbPolwetCbPGQPnWfS5LVPO38uCLtK4r4Wnoie4p34IRQh2LW5lRuCnYR1hfACk8ZqHQn7khGeHjjGyyNnkNKKnbijdR3tntB0lUCO9iLPHEAOnEQ0rUSs2ISobcWh21GEqJil2OL0Ynvj58imlVDXgXBcusgBI12YIaAARZPEs2fRaj3YOwLVP49pkswmEYU80u4s6Ss8Pt7Pnx19cfrziBey/NOZt1g/0c8nunYQyiaRswjoNHJpOPEGcu1u0GzlHXR1B2YVhGYxkEUTM1NA2LVF5XIOpWL8Xc9r9M1ahIsXsnyr503ua9vIbaYXTXl/xN7mryV53YfxPP5/SgeEQmz3B3AuIMXVFJVmh3e6SjVnXChLkmMrbA6UPR9F+sLIt5+ysrn9dSg3fgyaFo4cASA9ga3RQ2Y8g8zNLOpodS5kbICgb/6F42rcbds9IW5oXDXtjDsFt2bno51bcVZxvSgYBY7HRnm8/yjHokOoQmFHbTvXNaykwREiky/SF8lwdjxF30SG3kiawViWwUkjoFR+YSMoTRE0+B0lcSYtQRdtIRetYSd+h61KyezFgUuzvSf3V2l3WO1RqbmLlQgFFrEocAVXcDnjvdwpLkZEy7XAB4QQd2HFx/uEEN8EhoUQjZNV0EZgapbXB8xOdG4BBia3t5TZPgdSyr8F/hZg+/btl6dxUbDecqibQ84EYvMNKN7ApTiqRaPFG8ahamTLuEnWOjwE3QHE+muQJ95kzppCsAFcXs7ZXfztsX0lMtOT8VH+4vDzfGHtdWwONWDueQD58NemTRTkqf0W+bz7t5HBBsSKjcg3fjY318/pBU+QbkUg+o6UlXxtCDYRcvpI7LgD/xP/OGc8v3ILMtiAomu4tzZSOBfDTFuiAuHQ8OxqQbHrdHhDfMlbS91jfzctPw6dfIuQ00P49s/jdHiRp+YGd1uQuAZOcGNzN//n2MslphbHYyOcjI/y5XV7AQjkNB7ZN8REwpoAa5rCXZs8rPMXMRaQADa5/LR7QjgH51bf5EiaUBoyITvNLj/96bk3XV1RafAEOXKqUiQOvDsxQHptN76VV8Gp/XPGxc67iNor96Hc2bYOl2bDDDdbf7/zK4mKiujcOM+7nPWe+k+UENBpHHsNNt2AbOxEr9HQal0URyer+orAd/MKFCMOLJxx2puL8qd9+6YrjYaU7Iv28E5ykH8TvIV2TwibopIvU4lsdQWr6h3sT0X5nweeKnHm3D/ey8HIAH+w6RY6vGHkwEnM7//PaWIkT7+DfOWnKB/+N9R6W7i2poMXRsvnKO7w1cFPv44JiF33wo7bEe9TrpUtFlCEwFaFK/RsmIncDAGdhXxfrGoSGk+M4xzpxXPoRYiNIRu7yHdvI9/QgUTw7TNvlyXkh2LD9CfGCSUqV+bkuSMY2+4kteUm3GUkucmtN2MsYfROcSxF8tU+cqcjaPVuvNe1Y2uqrirYn4qWENDZeLTvMOtCTXS8zxgtp2Yj0rqazD2/jf/gi9gmhsjVtRFZdzVGbSs1VRDyq0NNvDh6tuzY9XUrCFZopVgshC8M130YsWkvFPLg8iEWqNTOhkwl0ZtD5M5EMVOT9wC7iqO7Fjl+hNaGrRW/6w1OHw3Ohb/rGaOABD68YgtnEuOki3naPSEcqk40n6G8eNbCVH/mqcQof/rO8yRSkElrpFMq77wzxNeyYyh5ByPxPFUkmuBzaNMEsyngpCngpDXkpCPkpsHvwGFTl0Qyu5yhBBswd9yFfPZf5oyJtbuQNc1X4iau4JcCiyWh830vluw7I6X8Y+CPASYroX8gpfyUEOL/BT4L/NfJnz+Z3OUh4NtCiP+FZUy0CnhNSmkIIRJCiKuBV4HPAF9dquNcblBqW5G3fY5kIkVMD6EKSaB/P/ZgDbJK57lqkS8YxJMW6fB77Oh66aqylJJYIke+YOJyanhc1a8W1rv9fGnNdfzl0ZdKbL8DNie/tXo3XglmdBix56NWpEoqaj2gdTVi5VWQy3Islyrb5yiR/LjnXVqcPgIvP1Tq4geW5Pb5BxEfasHMphF7HrAkdFN9hPXtiPXXI/IZ8rrOBzs285Oed6cNPsAiZWuDDRhIROtaEns+YkWd5DIgFLKrd5DbdjvByUllIqTg+GA3SiQHEsygnXhIoQbwZjMEn//B3P7XTJLmwy8zHm62ekfi5Vf8CbdwMj5SQkCnYErJT3oO8PmO7bzwzvA0AQUoFk1++naCT1ylYrrnt4tv9gT5cMdmZBnZmNBV7JkoE2aYPY2reLzvSMnfxa5ofHDFZgqFPC7dVlFG6tZsjAmJc9fd6LrdInzStEw/rv4AsYYV1Ok2bmjs5tnB4yX73tmyjtV+S3oo8hnYfR/FsQHi/g5MBN5EH/ZgDWY2TTW1EXlsrvRuemzkHMLhxsw6sLUGcKypBVOCKsidi6K5NDT//CQ0bxR5rPcQQZuLDzZuxW7qSNXk8dFDHEsM89rIWe7r2MzvrL+Brx1+rmSxptbh4fNrdi9oDGFKySvDZ8pGQxRMg5/3HuZzK65CfebbcytzxTzm099C++AfcpOtjWFvguOz+n0VBJ/q3EbL89+f+VxefZhocxcvYtLpq6HFHZi3z/h8DKZjHJwY4JWRM+iKyt7GVXT76wlX2ccodBVUMZ0LOwXVP0NmTGkykkkynIljSkmtw0O904uuasRzWVynDyCe+ueZ5xztRT38Evb7fpdeX5DhbGUJ3evjfWycZxFQOr0ECyrJNbtImQbud56xFr80ndSWmzC6d0zHEL1fGMk8kZ8cwZiw1BeFnhiRgYOEPrW5bI/f+TgRH6k4VjANxrLJ901CRzNJvn7yNQbTcdav3EDj6m2cK2Q4NniM0EQvX15/I40LGO21JuN8sm0T3z53oGShcI23lptVG6ZYmv5VAKEoEHiPuY6aQvbkKM5NDQhNsdZVpSRzZBhbF9QDX2paw9cGj5Gb9V0P2Zz8el0nXmXhauDp+BjPDZ5AAC3uIA5V48Wh06SKOYI2F63uIE7FQaZQpD+S4dxEeibWJJphKJ7hzESSXL5Sn+LMNUIRUO+bVc0MOGkJOGkLu2gPuwi57BdFMrvssXILIp9Bvv4zK6JJURHrdsPW21AWMLO6giv4RcFiSOiNF+woqsd/Bb4nhPg14BzwUQAp5SEhxPeAw0AR+NKkMy7AF5iJaHmMX1RTokkMqHU8c7yXkYkhhIBVbevZ1dhIbWDppHDj0QzPvt5Lz4DVr7Oi2c/eHa2EJid06WyBgyfGeOXdQYpFE6/bxi1Xt9Pe5Kv6htMdauLfb7mN/sQE8XyWkMNFkzdM2OHBSETh4EvIZBSx7hpwOEEoyMHTyOe+S/5j/463prI+y2AgHWM8lyYwMClNcvmsCnJ0BJIRy3Y/NgYHnkf2HkGsuRo8AUDAeL+1ennHr/OGLHAyOc69bRuRSPKmgVPVGc+lePD0flqdPjqyXibkGox7uiGfROgO8lkn3gkHSr1gJBPnxyff5jbHCjzDOcx0/v9j76/jLLnuLF/0uyPiMEMyYzEzqCSVJIvZsixDsxvc3W4anrnz5s2987lveKbZdo+bzSBblixmlaRixqxK5jzMELHfH5GVUHkyq8ouQ3fn+nykqjr7RMQ+ceJE7PWDtUgrTl6PDvJIx0ZTROcqyb4G6qXDaFs/gth6H/L7f77wDS4fk3YHR3orZO2m0ZuOUM7p9I8v7MM1DEm8aCGYTcB1vGb9ehl7c5C8KzITzQdwbqmn5NSIFTJ848pR9tevwG2xkdOL2BQLOgYvDJzhrtoO7m9czTd6F2Y5AR5tWE9vKoo76sC66n7c6/YhinkMu5vklJWJyRyJQJ7HWzewq6aNsWwSIaDW4aPW4cWmmbc6Od5HomzlPWULF8+apLk+vIb9NTqhsweu6+sHpnfrogF/mwOpl8j35MifuqYMW4CjaxWykFvStiFRzKPoCk8Hd3Lg/RHS2RIWTWHn2pWsqa/n9Ynz3NVg+hT+2033M5JNkC0V8Vnt1Lv8BG6A3KVKeT6YqJzBBFPU5Yn6boLj/ZXfMDmAkp0kpHh4JtlGoq2bCT2DXbFQ5/TjvZTF4g0DF2Y2MSYHeamQoCwNWtxBfmXlHqpvQMJ/OBPnf556fV5vcm8qQpsnzGdW7r5uaTKA6rfj2dtC6oMhLFVO9GQeJFgbzIxVQS9zZLKfL18+PJN9FgjubVzF3Q0rscZGEe9+c+GOy0WUQz9Av+PjSx6/ZBgY3jBiER9FZd0+hJrH9+a3SKzcSuKxzyFLBRSLHSM1he/db6Hv/zSq70cjdwB6LDdDQK9ClgzKU9kbIqHW65TaauJHL3MdycRnetlPJyeZq5MbLWQZzsaXJKFS19HsLnYcfYXWnY8xUkhS1MvU2D3UxKbwFvLkHT+98vC5UDw+XO1RYq+ZPtEACAjsD6JW1UN8gq6X/op/s/0BRtx+UlIniEJ9bBz/s38En/4PZhXUEjg43Q8qgd5EjGxWIZdRyGatnM0a/Mqxo4zHS4wl8+g3kM7UNInDacx4Zdb6rTyzch3Nfi8NfodpafIzUjL7swrFF8bY/iCifT0ikwS7ExluNFuFlrGMfyK4YRIqpXzrxzmRJY77JqYKLlLKCHDXIu/7T5hKute+fhhY++Ob4c8OpmJZnnvzMtm8GS2VEi72xzCk5N49LdisP3rkN5sv8fzbl5mKzVkQDifIFco8fncXDptG71CCd48Oz4ynMkWeff0Sz3ykk5rCCKgqBGoR14lkV6lWqhDTD2bF7JcChKYhFRXszmn5ewEIhMuPVDWEIlCuU8IjhIBQAwMf+Tl6y0WmilkCFjvt+LEa8QABAABJREFUFieNb37V/GGoGthcJkm9CncALDZQFFQpmMynebb/BAJTrGCuWq5AgAL2iRxuv0AU8mBAISkQLpOwX4pPsr+mG38pg6MhjgL4nQ4eyLdzIjLExqWi3EIxj9K4Erbdb0ZUr9Ijlw/lkd9CFQL1OnLxS50qc8zcfjgTZzKXZiyXwKKo1Dt9VNu9hBwuzhQybOkr4dxUN91rVkYL2Cn0xhHtNQjKlKXBy8Om/Yp2zblShcJGfwOHnP30ZefbuHS6wnT6qzgRH6asKSjopIsFjGIeRbVhWDSkIhFCwa5ZaPWEFs3ElDxVvHVZ5croLBEYmcrx3ayFp1dtvSGZErFyO/L0OxVPlqhuAb2MUCucVEVMX6rXC8RI7vCv5vnXZ0liqWzwwfFR9u9sxmuxmdcWENbLVKXiyEIW4Q4gXTeWLbt6vS46Lm6gtEUoSKdGqCmMZyBJo3RjqfeQOziJYtXgmqy2VJQZ8t6fjvLa8AU+1r4ZdYlrvGzovDx0rqI4Vm9qinPxMfbWXt/OQCiCyZV2+huDDGbiBG1OOjxh7E6BF+hLRfjrS/P7NSWSF4fOUu3wsC0ZW1w0aOAcAc2Cz+qY5+U7F1tD9RCoRjzwq8gXvzQbWBIKYut96LVtqKkIDJzGPzBNuVRtXiuAkpyEW0BCF7XJvkH77G5/DS8Nn6s45rc6qL0Fqp7J0tIiTMni9cV4CmNXsGz4GIGTo9R4c6CBkdUxXDUUm5UfqpfvxwERrMOSyxDc76IY1ZCGxBoy0OwpqNloCuZlk1S9+VWqYP51oagz9xPDkJQMg0LJYDSRoy+SZSCaYSSW54ORAiNxF9msQqm48Pc2yHwBKAFUeWwzAkC1IY0jyYvYp4mnxSLn3cbqnTb2dAUJL/tC3hQURYHq2WLof6g54Vghy2A6ytn4GDZFY02gjgaX/8duE7aMf/i4NbKAy/iZQCSemyGgc9EzEGfrmlrqq390EhpL5OcR0KsYm8oQi2Ug4OLDUwsFg6SEgb4xqo5/0VQ89IZQHvw1RF1HxePI+CTGG1+B3hPmC0LA+jtQdjyI4g6gb70PYmPIQz+Y7VcL1KDc/nGsKGwPt3B5EfW5VncIt2bh3AO/wvnxMTYRpjthoehROaPFiO9/hlbNTmD9PqhuRh583vQ8A3D5EHseR/ir2SDg3TkR5rmkKmBzUuXyoZHC4zwBz78xU1JrretEueMZIvkMhq7TnB5Gfe3vZpUgHW5q9n+K82U7hjeM4atCqWArklu5g7LLh3B6YOfDiBXbTd9MzQbBOoQ3iJbLsK2qhcFFlCJX+GpQnCrdjS4uDs0vX9Y0hYClRNkdpj8V4du9xzl/jWDQ/Y1r2FXTRtDuQmm0kP5mD0JVEDaVXLqIY30VxwqjdPubsSnajGn8tdY2bZ4QYbeXX67bSn8qwtHiGALBZmstLd4QYZeHxlIAh0jjefsbaFez2IpKZuN+/Kt34byBDGDcWceV0b4Fr6eyJaKuxhvTyqxpQ+x9Avnud5gh/YqKuP8zEDIz6vYOG7kTY/Nalp3rahAigbAuTSQCNienR6IVx05dmOSp3VvxWO3I8X7kG19BTp8LiUCs2Yux/QGUwNKlgV6rg321nXx34GTF8V3VbfgdPmhZA/1nFr6heTX4wmglHT0jET6bGdjRJXosh3N3Ezw3f99Tbj96drZs/N2xHvY3dFOzhMBXtJDl4CJ9fQCvDV9gc7h5hlDkyyWKho5Ts8xT5b0QG+Pz598jU54lxgL4ROc2NvgbeWPkwrW7nsH3+k+yvbryfQoAiw13scDHWzfw+YsfLBhucHhp89aYYj0tayg//jmU2IR53/KGkaEGLE43xrUiOtf2ot8gSbwuNBWtxk15fDYQI+waiuPGng+NLj93163g1dH550wVCp/o2EbtLbCRcWpLL15d1xHjEaqKvbEbmY3g6PsyIj5mDmhWuO1jGMXrVzz8JKE0dGJxT2EJT4GugycE/mqEqiH91abWQWz6M+hlclJlUHcyUL+V84ei9MdGGJ72zxxN5Cjpla6V+cs9VTWzmUGPws6GRhr9LpoCTppDDpoDLpw2daZkNlsu8H8uRDkbrywGuL2q9YYqEpbxjw+TuRR/cf49+uZ4gL84dJa9tR082rIB7y0WVFvGPy4sSkKFEP9++q8vSyk/mPPv60JK+R9/5Jkt46ZRrvjgMaHrt0aEoVxa3J9Nz6YxvA6Ki6jg5UoSri4ekhGMb/8vlE/8O8Q1pUSyXMR47zuzBBTMBdiJN5DuAGLHgwjNinz/u/O2E7Fx5IfPIZ74fTqdVTS6/AxdU8pqUVQea1lHxtA5Nj7E3X0+1IEp1IAda6LA1pCNA6uncDc0E1BUCn1nmLzzGSY0DRWoyecIn3oHS2M3Ds3CSn8N569Rv1UQ3N+4BgVhWrwce3X+PEd7kG99heJHfoEN5SLqC1+Yv+DMpeEHX2Tv479L1O4mcefHCTz/RbNv5Oq59lWRX7+PmmmVSGGxmb501fOVnfNSp80TosbhZTw3P9ptVVTubVxFURFsWxOiUJIzZblup4X7VjsQfoHbMHhnsp+LyQl2++tYb3UgERwqpHlx6CyNbj9rrU7U97+EZf8DZC8b6BkD12onVv0sO/VmbE4fz7Rv5q96Di64LvZVt1HvMfskw0E/3qyge1ggAXtXGGvIXNT6Ac87cwgogKHjOvoKZW8Qz+o9C/Z9FbKQg1QUQ1988Vo2JFLKGSEMY2oYUcgh7U6UOeXIwuaATXcjWtcio2MmAQ3VQ6AGoahmMCR1Bf/jq8geG8XIlLCvCmOtVtG88x/IMh03RZI0K/iqEIqCpqjkF/kNFUs6fosTIx1HvvMNmHsukMgz7yD8VbDj+lYzm6uaeWe8Z4ElklOzsr9+BZrNjrHvY8R7TzDqDZFRBC5DUpeMEGjbiLDa0UeixL97Hlmavr8oAv/jq1DOfAux8U7kYVNVOr73CZ5Lzw8KlaUxr8etEgxpLKq+C1A0dAxDksnn0CKDaFMjaPkMRrCGdKAWW7COyVyKv798aB4BNc8WfLnnMNVrPQykFxcNihdzFHxV2EMNiMjwwjesu42CN8hai43PKRrPDp5hIBPDqqjsr+lgd10H4TlCNVp1y7zsxwxcQWRVE2JycMGQrGlFegK3JFMipMTeGUSvc1MaSqKFnVjqvRg34MUI4Lc5ucfdQleNj3dzg0TLObrtIbbXtNIkbs1zps7pXTSzbFct1N2AGI+QEl768/ntDOUivPF3KI//HmXD/zNjHwQgfGHwhWcsTcaiefojWfoiGaLehxkaPMFAyc6g7mLCmC7njwKnK3iDTyPktpoCQAE7CSVKRknOlNBarRKLovC5tXeywr90Oa/bauf+xpVcTk0u+M1W2z2s9lb9oxQQWsbSMKTk7dGeeQT0Kt4du8wafx2bq/6Buk0s4yeCpTKh/wHzOZ3G9OC8+u8bwTIJ/Skg4LVXtEwI+e143bdGhMFvKWOzqhSuWSQ77BreyGUcdT7WdoY5eHpswbYtXh0Sc6L9hSxyangBCSU2YQrPVIA89AP0lTvg5BuVJ5iOQ3SUxu6t/ELnNk7Hx3l3/AoFvcxqfw17atrpdAU5Gh9ls1aDrLXRG3YzlMhT2+Kl1W5lvVIgXSqSTEZ5de0OXo0MzFz4mlB4evu9bCvmOZYYp87po90T5ujUIJlygVZPiDWBel4fucBqmxPXtdYuVzHSg5acwjk5vDDjAWDoqCOXCHirSJVLxJ74XZSJfpRUlHKwDlnVhP3CIYS3arpftTI8mpWv9hzhsZb1DGfjvD/eS9HQWResZ1OoiWf7TvCpzm0UrXDbZh/bsx6MQhGnDXQbZG0ewODI1AD/oqaL+sMvo42ai55Vzau5c+MdvDrex8qmtVhGLiL3/wYOTwlZ1FG9NsqDI1iOvkquaSV2zcpnundyYLyP/myMgNXBPXXdrAo2zNgMKHYNe2cIa4v5mZQ5gleWxCTa8KVrPyIAviOvEG9dW9GmSI73Y7z1dRi5hOfh38PvthJPzxfbURWB30iRLPnxZFNw4RDyyEvIfAacXowdD0HnJpRpixeT9LeY5bfXQCgqpZQLJT+EZ5sPFA2ZTFC4LFFDXaiALBaQvSeRb33N7EPWrIhNd8OGOxHeIG2NPs5dWfhg724N4HPbEMODyIHKJZHyyEsY3VtRrtMn5rM6+ET7Vs4kxjg+NYQuDdYFG1gXqMNvc6BLg0uaxt9QJjJ5ZWa7kM3FL1ottGVzZI+NzRJQAEOSeX8Qb1sz+Fzk9z7JkC/Ec+kol7PziZ5Ls+G+TsbLa3XQ5glhlHR+fuVuUuU8ihC4VBv/5fgLbA03IwDb0DnEC18wLTIAFbA3rqC472NMaCrji/iqSiR96QgrvdW8t4jKr1OzkrO7sd71SdTnvzCP1Mj6Tsord85YtawON9FsDZIu5tEUlYDLhWZfGPjIlAoYSFyabaZ1YNLpomrfU8jv/cn8UmaLHWXvkyiB2iXP1Y1CCzhIvd2HkS6iVbsox3IU+uOEPrnhhrY34lGMt4eoHUjzdFMIw6kiJvNorlFE2wTSX4W4SfXia1Hv8vPLK3bx+XPvkpkjjGVTNX5l5W6al7BaAtDLZUQyumg/PSdeJ1HdROg6LSE/Dlz1z8wWy/RHsvRGMgxGsgzGTCEg09YkR35BUKBxwb4sqpj2y7TT4HfQEHDQEnSZ3pkhFx67NqMyGytkORcf49Xh82TLRdYG67mttpNm99Ln8io6xwb47VW38cHkACejw1gUlV3VrWzw19I4MfLDCzP9E4bUDcrRHEaqgHBa0YKOm7JL+knBKJUpR3LIbAnFY0MLOBCaQiSfWSAEOBevjpxnTbDetEdbxjIq4FZfGYIbJ6rLuMUI2UrctaORVz8cnKncsttU9m+uxRPvB8/KmffKctHscbLazQX1DcJbmOLBdQ6+dzwzk3nVNIUH1thxH/g7xIo1rOkK0zeSYCI6G8Xe3OakavB9Flwe2SQymzJLSq+imF/4vpmxHKJYQC6mBjv9HplPU//K31CfjrNt16OUrXb85w9ieeEvUT72z8mrKtVOP8+dHCaTMxeu/WMpjltVHt7dTJosp2w2XhmZvzAtS4O/H79Mla+GaCHDscgQDtXChlAjDs3CUCbOV6etRkS5bBKMRSD0MiJVuewSgMQUVnR8EzGyxRC5YDd6kwVtNIenZMEyNrCg7+5a5PQy0WKGv+85yNMdW3mmYyu6lFiEwnf6TzCYiaFLyRd63idWzLE+1ECtw8NYLsXJoWECVge/vGI3n/DX0/zSX86WJQPWgbN0TA2RuefTZJBYP/4/SL89SLHX/MzCouB7aAtCz3I2OcEXL7xPg9PH3Y2r2Kt2YkjJ6egIdZ4g3muEehTLwgexnl8onjSDdAxZXqjiKyOjGN/675DPgNWBJT7AvSubePaETqFkBlIUIbh/vRtvzzuUmp+Bs+8hP/j+7E6ySeQbXzazUJsqtqQvQHEwTf5MCmHNIjRlxn7HsUEHDzB0Hvn8HDGpchF56AVkNoGy/1NY3bCqPTiPiFYHnYTqbPQkp1hdWOJc5DOIUgWvyWtwOTbKH59/l5DNxdpgPYoQXIiP8974ZX6xcxuNnjB/femDBZnSSCHD/7lwgP+rcz96hdJ8PZ5H1q2BdC+RVTv5XydeqpjNfKRlHcHrqNs6NSs/37aTsVKSL106wFAmjgBW+Wv57Lr9hDQnWmwU8fJfzRDQqxBDF7D2nyHfunrJY8QKOfbVd3E6Mcov124lVLRSssK3E+c5mRjhvsbVVDk95KxtGI99DjU6iijkMFw+SsFaHMFZclgcTJD99llEyUAHUt0hvPvbUT3mPXYiHeNMdIQ3JnopGWW2BRvZFm6izhuipOsUomPYdj5sXnPxSYS/Gpwe8vFx4uF66q/jj3kjSKhF4ntD2HsziL4MpWo7hX3VRGwlari+KqfMZNATZZCgD5jVFRIol2yQjJveh94fvXd1hb+W3127n6FsnEg+TcBmqri23IjybjlPqZhffIGTmEToS6t+/ygwDElR15lKFemNZOiPZBmMZhmM5Rie9s+cTBVuaLEUcFqom7Yzuaoy2xR00hJ0UeezY7UoaIqCeh3Rv6DdxZ7aDjaFmygbOk7NesOZYCkluLy0/+1/pLl1Pfes2oGqlwi++6y5jnjw125oP8uYhdQN8uenSPzg4qyUw45GnNsbUO23Trn5R4VRKJM5MkLmvWmBQwHej3TiWF1NydArWgddRaKYp2ToyyR0GYvielfGtXe15XqLn2FYpgboOvsWwX0fJVZQUAWEtDyhF/8zsq4Do7bdlJIf68M4+jKMXoZADcq2B6C+E3EjtfsON40v/SGf3PgoMc0PQKAUw/fe30O4ARwuAhY7j93VRTSeJ1cs4zXS+I89i7X/xML96SWML//fiLW3IVZsQwRqweUFq30e4bkK6a8FlxuaVlbwQzUhXH6IjEL/WXN+3/+zeePG4ZcI7nuS4fH8DAG9ikJR5+JokvbVHr4ytYgyKPD6ZC9bqlo5Fhkip5cWKI1qQkG32ZF1nYiRCtk7RUWzezCqm1hMlkXWtTNhseGt2UTuWbP/SsV8XiVVgf/Jn0O7jsKj12pjS7CJZm+Q7/SdYGy6JNdtsfFg01pSxRzJUp6paduUY1PzSwGnChmSpTzN0fGK3wfZJK2ZFCJkUJ7MzhBQMBU3k69ewf/YXXyr7zX21nagCoUv9xyaUSBtdYeI5rM0uQLXLecSLr8pxFHhoVeu7SBfQWhEDl80CShQru+g5A1T+8qf88yWx4lZqzAk+GUK/5G/hvV3UMylsR95peLx5Yffx2heNa80dzHY2gPkz0wgizpyumpAq3GjuK3IfAbj3e9U3vDMAZLbH+Qvej9gd20HD7S0ksvpWK0KKTXDH11+lW5fLR31K7Bo1oX2KQBVTUind8mbdUEv8fJ0T1+kkOGdsZ55488NneVTnTsWENCriBWyDIsstZ0BypH577G2B9BzZSzeEI1uP7+5+nb+6uIHM+JCqlC4v3E1W8Lzy7SM6BiimEdabSjBupnXJ8opPn/u3RmbDQmcjY9xJRXhN1ffji82PvMdXwtx5l0C3ZuXjI42ufxUOzz8h5o7SL94mXKygNAUPr2znYvNTXRUmyTToVmhpgWjuomyYWBRVKxzrlk9VSBxbJj0XbXE1RJWFIJRsI+lcXhsTKRifP7iAYbmeOW+NHqRtyZ6+a3V+/Dls1gPfMcsHXd6we1HjvRALoXN7kKrbYUfkYQW9TLf7z/Fu+NXCNqdtG8KMlYcZWgwTn3Ex+fW3nlddWUhithabGTj8+8H9hY7TFwCcc/Ma7KQM8vNVQvCc/MWM82e4HWznpWg2t1EbXYW2zLT2E1B/dEyTrphZjMHp+1M+qMZBqM5hmJZhmNmb2ZmkbL6udAUQa3PPu2b6aQxMG1nEjQtTfxO6y1Vmf1hBJmEEMi+01AuovUcpqrnGk/n2DjUtt2S+f1TQTmWI/HipXk3psyHQ9jaA6iNP/kM/WIoT2VnCSiAhOTLPVjqPLh9VkI2V0U7PICVvmoc6s8OoV7Gzx4WJaFSSmWpfy/jZxDZJJbeE9T2nmBB4ZZqMRdqsXEzM3RVGCYdxxi8gLj3lxBrFu+pm0GgFqV7G/53/hL/3NeFgrLz1xEWk8i6ndYZb1A5lsQY71mwK2paITICyQjywLPIs++jPPF7Zm/cnieQb3x5wSbK7U+hOH3IFdsxzh5YmAlsW48MN1Aevby45+NEPz6Lg7Pjlf3uRiaydK7yLKp0CTCYTfCgw4NdtczzMr2KvbUduCSITffCaM9CUZGN95BzesjqRar9NYhr+kqlJ0gkUENeSpypIorLSmlDAN2uYomXUE5FKeUMNKt9yUiSRbXQFajhT86+NUP8ANKlAl+7coSf795B5jrZ1EypiHuqQi/cNFzJCFm7i+LoyIIxI1VAFsrUO30IBG+NzifkfekIf9dzkBrHXdf1/Ys53Fg33YXryMvzB4Qgs+1eJvXywoK1idlAQiHUgPDXI91hfO/9HfOO5vAg61eS18t4Fzsf2SRiEbJzLayNXhwbak1xIkD12vDd24li15CJOFTqLQRAUtCLRAoZnhs7CSwUDhrOxsi7vFi33Yd8/3vXjArE7sdQ3Eufy1y5xHA2uej4VD6DIZfu7xvLp2jtrKI8lqbYbxIrS50He1eI/LkxbHc1oQiFtcF6/s2me4nkM0gpcVts1Di8M6q4ejKCGLqA/OD7yPg4eMMY2x9ANq1iymbn+YHT83weryKvlzgeGaQ1tIQHcrlItdDYFGriaGRhr6XHYqfB5cea1In+oAfjapl22SD77gBrnliFwzY/Wyuh4nwmC2le7UzybvTkzLjf6uAXnFvplgEuxMdmCGi904ddtTCcjZPXS7w8fJ6n3eFZBd5sclaoDCCfQVlMnfcmMJ5L8t64WVodLWTnBRlGsgmGM/Hrk1BvCId/lFKji9K0mJmlwYXDN4XiXWuSZ0OHkcsY730bhi+B3W328ndv+6HI6M2ibOgclWVua12Lre/0/EGLjZHmldiN6/evlnWDSNrMZg5cQzRHE3nGk3luwNEEr10zPTN9dpNkBl00BR20hl00+B3YNBWLKn5m+yp1XYexxS2dFvWpXsaiMNJFKl08enLp5/FPGnqqwnwkGOkC3qogT7Rt5Ivn31vwFgXBntrOJdXPl7GM5Rz5PyY4XEi3n+SGh0lYgmafW7IX1/EXIFiDVDXkO1+fJaBzIN/8KrKxG+GrWvIQQrPA1nshWIv84Dmz9KpxBcrOh6GufXZ/sXHk8CVk3ymEO4D4yC8gB8/BybfBYjOVXB1ucx9XER9HjlxC8VfBqp1mL957zyISE8jqZtQ9j0NjNzCd1Xr8d7EceQWl9wTYnJQ23YXeuRmXJ0h2aojFxOLLwTpixRy1VS4GxxZ69tWEnOgYuDTbAjGTmffYXHhLBr++4jZGkymUggoCEkqGjMyx099KWZbRCxLu/E2Ucy8hxi6DJ4Cx+l5ksBG1XOQvJvv5jbs/jffSUTh7wPxuVu0iu3Ibfz5xhWe8ITK1Vk7st/Fy/CTpbIEaj4cHH+ym1a2QzKVoWCI7kisWORYZnEdA5+L5gdM82boJTSjcUbWCVi2MRWoULEW+O3aMSDGLTVURNa1w8VDFfShVTYykUrRUu7g2V6o4LWBV2VvTyV9cWPigAtOzsi8duS4JjZTzBFfdRtITxHv0FUjFKNd1kNl6L7q/CSkrZO3miCJY4+OcMvJs2P4pxNhJhF5GKipCL2DUbiRj8WBTiwusMWZgcyJtjhsqB1HdNjx3tuHcWIssGag+G6p7uuzdaodgrRmAqQCrasFrsROyutnha4eSgqLBhfwoR2L9VNs92C125KrdCE8IefhFUxW5phWx7QFoWnHd+dlUjSqbm/QihNtvdVzX79Gl2UBqWNsCODbUgZToqQLx75zDs78VZdraKJbLMppL0peOkC+XaPEEkRIapnuZRd9p5Kt/M7vj5BTy1b9B7HuKVNdm+iuIXlzFiegwe2vaqVnkO5NdW8Fq44HGNQgBR6cGZ+hjndPHpzq20eYNk++NzhLQOdAnMtBhln9mS0Xy8TGMqSGUQo60y48INeALVFMq67yXGOCd6PyFeryY40/6DvDbrjt4c7KXde4QD9m9hPvPYsmliTev4rzbw9cm+pDBRlOgqlJ222rHsP7oBvaRQnbJEtChTJy1waUz/UW7G702hE8fQN+7EwyJ6rXAD/4nxv2fQRMCOXIF4xv/dfZZk0+b/c/RUbj94wjrj9e6QVNUJqXk/dU72VzTgvfk21DIUmhbx+jq3fxldIDfa1iBlJJ8yWAonqVvKkt/JGOWzUZzDMdzjCZyJCsozl8LRUCNd7ZktjHopCngoDXkojnkJOS23lDJ7PVQSuaRuRKKx4rm/MnZX6iqihFqQA4toiK9hC7BMipDcVkrNrAp7p8N66CrUF2V56NMJxlW++v4eMdWvtN3fEa0ymd18OmuHbT8EFUMy/inhRsmoUKI/xf4t1IuHh4XQlQBfy2lfOBWTG4ZNwcZbmRg32/z/JEopemFjNfdwiMP/UvCpBD5NMZi5vOFrCnqcx0SCiBcPsS6fciODVAug81pKoZenUdkBOPb/wumLQckwNFXEXc8jdz7FMLhMpVtK9iOyCsnYPVuhN1lluc2rTSznTYnwj4bob8YH+ePeg+zpqWbjau2kjUM3kiMY+k9yudcXi5gsLW2HcvYlQXHmFy7F6/VTjqYwmZRZ3oDATRV4G/QsKoW7qvv5lsDpyqeg9tqOigrEmvKyrkP0jNCTS6Hhf07OnEV85T8bjI2HVu6hqLjfqzbNPSsgT5lwe6MoVsC3N7Qzb+69CGbahp4qOs3EQh+kJrgUN8xPtGxlVSpwMuRK5yKzxKW8UKKL40d4f7GNay018ASbXXJcp4L12RZ52Iqn8FndfBzTbs5czTBO0nzvZqm8Kmde3gxfZI6mxOtdQ3G+99duEC2uynVdXBw9AKdNauxNHow0iWMbAlZ0vHc2cZhOYFNWhbYssxFT3KSXTXti44D1Di8lJIGqrKSyF2dKIpBuazhLNt5JznI1prZcrBsuYjAFKeR06XdlisnsW+5B7z1FJJbyZ0YQ5Z07GuqsfuDnMz0sbe2G7H+DuQ1isYAYuu9KOH5uVbzOAKHtrDkSLGoKNULbQuEw43Y/TjyuT9Z+CFXbMfn8vPx1q1MDZY5/l50Jone1BDi/mYvjX4vNlVDjvch3/gKomsLdGxCRkeRr38Z5fHPwXVKhh2alXvru/nzi+9XHH+wYRU+q2NRhVKvxU6Tyw8JA9VrpxyykHEKbNjRcnVoNR5kuUSkmOed8cu8OHR23vbNrgCf6tpOUz6H/ODabK4J+eHzKN1bUBAYi1Anq6KiIpB7nkC8/fX527sDlLu34rG7cY6keHSyltu72kkYBeyKRjgqCIwBfkxfU0UsyEwo0wuwQrlEfuwKvhe+YAbeplGq7yB+5yeJ2R28Plp5gV4ydC7Gx7m9qo21QxfxvTE7z3DvSXaF6rHufIiC209h8z3YDj6/YB/5zR+hdAtEdKzX6QF0XadU05CSgxNXWOmtRinVkHmzl3I8j7XVj+uOzzGkJ2gtFkzP4krBzlNvI9bfATUV1IFvMXbUtPHfTr7KK1Ynu/Y+RSoNByNpLhzoJUCQ3zl+huF4jrFEnvINpDNdVpU6v4MGv4PGgIOmoCkC1DLdo+mwqLesZLYSCn0x0gcGKU9lsDb5cG1vxNpwQ6ZStwSicxPy1FsL2yFcvuveb5axEFrAgefONlJz/KAda6uxhJfuk/9JQw07cWysJXd8VmzSva8VNWiu+ZwWK3fUdbEmUEskn0ERCtUOz3UrKpaxDLi5TOi/BG4TQjwjpVxQ1ySE2A/8HbC0JOMyfmyIFy18/3BknlVLMl3i1bNZHt9WhV2zgsW2uJjNTQgUGYYkXrJSKmu4NXWGB0nDQJ5+Z4aAzkIiDzyL2HIf5FMVCSiYpV7z/u30wDU5zWQxz9cuH0ECp1OTnE7N39el5CRj0uD0tntZc/4g1p6jZjms28/Uzof5cibKJxBUB5xs3i2IDBeJThXxB6xUN9vwezX8VjtrFQuD3moOJmfLdgXwcLiF6lKBoiXES+9dmacUnMmVeOfIMPfd3sBkLklTqI3CxUms9SGMsoHwKVDOoIc6UDQLRb3Mruo23p/o5Vhslmhuq2qhLA0EzCOgc/HK8DlWX0cx06popqfeIpV8qlCwCQuD56PE55QBlcsGL783wDP3bKZGLyCqmlCe/AOM1/4OrvaNdm9H2XQn4/kU5+PjvOn0YrvNTqakUO+oJqw5uFRIkzGKBC1LP1h9N5DlafOGiaci2Bx2KApkvoTqsVFIZNjZ2UqNy89YNsmp6DDvjV9BAPvqOlnziX9L6MUvwVgvbWcOUGp6kPRbfTP7zR4cBlWwoUFBsViR6+9ASGkuuPSyqVy75SOwYvvMNqOZBMcjQ3ww0YumKNxe18XqQB3hG/TKE82r4CO/ZFYm5NKmzcu6fYit91FSNWwFO2fODszbZnA4zbbqGsqyhJGYglf+Ckp55Nn5GWZ5+h247Smz//vqa3OsZ66iS6jcH27hB9f0Pu8JNLBeteF3efnMyj184dy7JOfYA3ktdn5t1V6qnV6KRpoBh87JSD9n+8dwaBZ2dbXR5NJpScYYMPILCCjAQCbG26M9fNLhM4NflVDIEkRlY7iRo1MLS2kBdlW3o+uC83UdrHjkt1AuHYZ0HNmyhmJDF19OTvBwoAZfvoz8cJzwqJeG9iDlaI78yXGMO83AhRGw4txab14L01ADdophK9lcCpHP4n397+cRUADLyGUs594ntXbPkkGWvnSEX63tRptb+XH1OJERVscmKDSuQHbtQpYMxKlXTaElzYrccA+yYwfVzh+dcNQ6vXgs9pn+3LkQQOt1MhcTuRRf6z3Gf2+8l9izZ2ZIe+H8FHo0R+MDXeSyCeyV+uCvIhMHbi0JLZUNRhI5eqdMEaD+SIahWJbLkRoGY1m+WozPebcD84Y4/6YogCqPjTqfncaAk6agg+agk+aQi/awk5DLhlVTfiols4WhBPFnz80oURd6opSnsvgeXYm1QqDrxwGjug3x4K9hvP11RMK0W5K17aj7nkIs94PeNISm4GhVcTzqMAUMHW4IOczqoZ8hqA4L7r0tOFZVoWeKqB47WtgxTzxQCEG1w0v1Ep7Py1hGJdxsOe4u4LgQ4pellM8CCCEUTEuWf8msbsoyfgqIpQoVvULHIjlSmQI2nw+x+R7kh99fuHHLmhuWWM/kSpy8MMGh02OUdYnXZeXuXS0013kR2QTyTOWyS4p580lvtS8qMCM6Nl/3+LFChvF8ZcsFgPfHr/BU2yb+0/GXWNXYwb7uLWiGzqiAl2Kj1Du9hBxu6E2i2a24uxUaOu1oCnjLFqoiGs6gA/vRV3hatXBH5wbGFBUVqCsVqT75DrJzMxcCvop+jvFUgSuxBINMoRT9VJ2PUDg/n5TnamzkfR6+N3CSJleQJ9s2UtR1JGap5Pn4GC8NnuX2+u5FP2dZGqQrLCbnQlUEe2o6uJycqji+JdyMUlQYGFt4Pg0pSSby1AbN7Kdo6ER56p+ZPbyKCtERjK//V6Ye/g3ubVrFi4Nn+fnABrr7JZZEgkxHGVutDassUef00ej0M5SNV5zHGn9dxdfnoqCXsUzmSLzSt2DMU93FiC3BH55+ndiczN1XLx+hxu7hNx/5LNXZNA7VTuKVhZnh3LExgh1dCFVFhOow9j2FsnoX5DNIhweqGlAU83Y5nInxP0+9TmpOMOfvew7R6PLz66v2UeW4/qJQ2ByItXuQzSvN3j+LHaatLdL5DH2DiYrbXeqJ47GXWeVXcVcSigLkmfcQmz8CngClyQy5MxOURlPYV1Vhbw+gTnuVOvtOc3fdFtaIBsaVLAZQbdip83pwn3gO6tro8lXzz9ffzVAmTqZcxKVZaXIHqHJ4kIUsl0tp/uzc2/O8Ay8np1gdqOPRpvV8OLrwu7qKDyZ6eaZju6nOXSkwpqj4UlH2163gUmJi3vkGaHIF6PZVcSjaxwuDZwjbXTyy+W7cFhs9iUle7z9GXi+zq6YNf9BP8pc7OZ+c4ErqIsE2Jxu3tGLBiQu4nI8yVZdl08NdyLEMitdGPCj4D70v80llGyuKJZRFyqddp97GseGOJcWPwnY3SiKysDd8Gu6Lh3Cs2E55CgqeHVg+sgmyabC7KJddqFEo2aJYfkQbjKDNxa+s3M3ZiWEecHRgpIooLgtniZKxSmqvs4icyKVY462mNJlZkDUuT2QwkkXSIYndG15ULIofMkOSzpfoi2S5MpVmIJJjIJphKJabtjXJUVrUJ3s2GGPTBI02C801HmpmVGadtIZdNAeduGzaD1UyK1NRUwyvlAdPCIK1Nyb0d4PQo7n5VkiYKtR6PA8/IRKqOhzQtQV81Yh0DFQVwxsyxQSXcdOQEwPIF/8PTA3NvujyIR/6LKKh86c3sQpQHZafKbGkxWBERk29hWIe4QsjQ/UzbSHL+NnEzZDQImABAsC3hBB/AvwR8CVg95z3La5gsowfK5QlpLJJx5AFD8q6fcjICPQcnR2rbka58xM3/NC81B/j/ROzyrTJTJFnX+vhmQdXUm0TJsFcFAJ58i3Evo8h3/uO+dAGUDXEXZ+GmusbG4vrdOWpQqHK4eGh5rV8f+A059KzBNBjsfN0x1YcmpWcLrF99TJVAJoCV33Z7u8CQNGsOC4cpPXiIVqFAsiZRaRcuXNprWhhZot1UXlhVMKgaJRQhMKFxDgXEuOI6U92tfTQa7FjuU7U3To9iUg+TX8qSk9qEq/FTrevhganH4EgaHOyIdjIiejQvG3Ddhe7a9qRukSIyutjMef/YJaS4nDD1BDGD/4CpIHTE+BvLh/iV8JbCL1g+kaWAVtvAuvWaiyb/PhtTn6uewfPXTnGPocHVyFP0WLjYClHfaCWxhtQ/UynYzgWUeETxQzvjg3NI6BXMZ5PcSw2yn1NaxClMmgLBamEKub1qSmaZUbtce43UDZ0Xhk6v4AQgdlPdyY2wh2OxQMHC47rDS20sxCgqJW/d1UVSIylfwOKCkJQjmSJfu0UMmcSxNJQkuKKEL57u1BsGoa/Fv1sAs/JCTxXdydBb/Uj124EYDgVwR4dpfPKSVzj/WSrm9E7NzESrEMRYl4f0FycjY2yo6qVcGHxDHhZGky4PNRuuNPsa7323KzejR6qo0Ox8+srb+NMfJQTkWE0RWFndSut7hCt3jBnY2O4VSsfbduMRVERQlDj8GJMkxK/cHBRxvj8uXfn9Ua/N36FR1rWsTmjcGD8CoenBvgqUOfxEcllyA+an+uFwTO0dO9c/HyXilRbHawN1nMqWpmorgnUY0yOLq6ErVhQ8xmkw0v62ASp0atBoRSKx4rv3g601OQt8WLssIdoLgji3z8D0+eoc1sD9vXVWK5jpSCRFCgiFiNqCmSEStWOB5HP/enC8ZoWsx+6AgzDYDxVoHcyMyMEdNU7cySeY6pCz24lhNxWGnwOGoMOWrJlqsczNCoK9RaVoDQzUOGnNqAFfvQeW5j2If7uH82z4xLrb4ddj5iK3rcCizwHfhpZWaW6CaqbABYX/1vGkjDKJTjxxnwCCpBJYLz+d4hHP4fiXe6nvBnIoYvIF74w8zuUmM8QY8dD1/XMXsZPDzdDQrdiltuux1yX/eb0fzC7TvsG8Ou3bHbLuCkEbDo2qzqvPBSgtdaBd/IkorUF4Q2i3PuLsO0+s7TM5oJQ/XyfziWQzZU4eGqhNYohJSMTaWpW1SA27kceeHbhxnY31LYhAtXIUANK2zpT2l0a5uIqUIO4Ad+ykN1FszvAwCIenHtrO3FoVu5uWMlKfy0nIkPEizlW+Wvp9FVRMx3t1wIOFI8VI1WcIaDCrqGFzEi9smoXxoWD5k6vKbVTa1oJWOy4nRbS2fnquFVBB2N6jNXBOk6MDlDb4oH+2UyjsKpkwhrnoiPsrGrj1ZHz5iGu0dzcFGqi3b24J55N1ah2+RnNJvjj028xVZgvsvRk20a2hVv5Tt8Jtle1sLmqiVOREQp6mTWBWjxWO3929h3++dq76G7ycmFgvlqqRVMI2nWkallAeWRkZCaTnTHKWBWV4ISxIFovjk3iXhkEPzQrKr8enUIc/9rM+exqWoW461OoFXoqr4VITKIRQ1jVGdsTAGuTiyzxBTYjc/HGyEV21bTjszpwbqij2BufN+7c2oAWun5GIVbI8uFk35LH2V7d+kPZIFyF12Knvt7F+YvxBWOt7W6KDhWPw43hcJulvNdAbNyPcPspDU7OENCrKFyIoO9oQqlxIwItWD0asV1BpvIZJJKgzYUzryENg5F0DOt4P/7nPz8j+uMc6YFTb8NDv8FosHZJ0aBDk3386prdvHqwcq+kS7NREgqJjg1482k4My3MhYAV28is2U20lKfBUHF/6RJ37G7ktrXtKIDxYh+yMIL8eIi1wTrqXT6+13+K4elMe6c3zG+s3cebwxfQVYO/P3eoojjX9/pP0eoJ0zvdPmAAw9n5WejJfJqcxFR4bVtr9r/pOigK8sIhii5TDfaBprVMZFMLqjSeaN1Ijd2DCLCo6JVcfweiVEDqZUqj87c3UkWMbBE8t6bISE5lSb56eYaAAmQPDWNt9EJw6bL5Krubi4kYWrNr4e+wxYfw2vDZJKJpFdz+ceR7357tI2/spnT7p+hLSPouj06XzWYZimUZiptEM19avKT5KiyqoM5n9mWavZlOmoNO2sIuWoIuvA5thpwVR5JEv3xyNkUtwLWtAdV3a7KUMpPA+P6fLfCDliffMoXC1u27JcfRQg6EQ5v3e9aqXaj+W5dtXcZPELEx5NkDlccmBxGxUVgmoTcMIzaOfPEvFv4Ozx5AVLfAMgn9mcUNk1Ap5WkhxDbg/wb+GSbxvLo2TQCfk1L+7a2f4jJuFD6tyGPr7bxwrkQqYz74G6uc3F6TxlrwzETWhM0JdR0/1DF0Q1JcZKFwlfyKlTvISJ1kQxe6zUU2EycYHSNc3WJGhr1BhDdsKu1e5+YgE1NmGa/dNSPt77LYeLp9C//z1OsL+rA6vGHap83MLYqKS7Wwwh1Cm26WD80pN7PUuCl8sot0OU/RKKMbkiq7G6tnmpDXtiLW3W72Bs6BuPMTEK4nYOjcfVsTbx4YJj4tY14dcrBxcwjsBo0uP68PXyC2o5G6FWFsVivlYomMX6XoKhKZzLIz1M5haz9tDg9bbR4EkqOFLBezMbYFW6h3+7m9poOxbJJnAvXYDZ2YovKlics82GiKx3zx/HsLCCjAt3qPs8ZfR9HQORUd4c76brZNq8UqCM4nxykYJXJGkd2dDgolSd/0AtjttHDfziaCqQsIp2mBUdBLjGVTTObTqG4fNXd9kvCR1yhIiVXR0AoVrgtdInXzdXnhMLGaFkY+/q9I6iUcqkp9oUDNoeeRd34SYbWTKxUYySYYy6UQmGJE9S4/Ds2C1HXUi69S/OSvMlbOk9fL+Cx26kplGLtI2TBo9YTYHGqiJHUEAkUIDk/2EytkMaZTvdYmL/7HVpI9Ooos6TjW12Jp8S95Hc5+HDmzn0ooGTr6daxNrgdNUQl4rWzfWs2x41OUygaKEKzo9hOxxdngqUd4gigP/BrGs/97PqmpaUWs3AGALFWujJDTAZeI08ql1AQXBgZZb3GgIDlQKlDnr2a1px6RT+E/8F1yK3cw3riCjCJwSknt4AVc736b0kOmQf3GUCNbgg0UyyVURSEvJS8Nn6Ng6BhCLCosdE/jSgp6mX915TBPd25i78qdKLkUht3NUanzl1cO80zHVpqCPgq/spJMIYM61YdQFEr7g9hUOyFVIVHK8+dzfEQBepJT/NnZt/mt1bczVcwQK1b2OwXoTU7xZPMGvnjpfTb5qtlic0//DjMcSUxgVVQ0VUV/4FdR3/s2nPvA3FDVEOvvRO/ajM/lI6So/PLK3YzmkgymY7g1Gy2eIFU2F1VOL2WLk/JHPoP24ufnBbWM9o2UG1YiRBmmIlge6sDvzyNKpmdqPGqDXIpSfeCWZJ709GzQbd7rlawYrkG1w8PDzWu5YE+y4vFVZE+MoUdy2DqCWDsCjJHAVQ5xaDJNv1zBcNtnGJxKMZg26L9UZuLo8Rvq1/E7LKbSbMBBY8D0y2wJmUSz3ufAot2YAJCl1kP4M2tQ0lPm78ThQzpCi2dybxbRsUX1DeShHyA7NyEcNxbgXQrWei/+R1eROzVOeSKDtdWPvSuEpeonK2JT0Mtk0jGzj1so6N4Afof3uhn0ZcyHMHRkJQX2q1hqbBkLMW31VwnyxOsYnZtQrq04WsbPBG7qziGlLAkh+oACYGc64w0kgUVkV5fxk4IM1FJX7Ofj3TmSJQUVA1/qHDa1Ctm28ab2VU7m0aM5EAIt5Jixl3A5LKzpCHHs/MKSxoYaM5MUUS0kWm6ndyBJLJGnqa4aWd9AREnS9a3/hsgkoHsbyq5HEMHKvYAyk0CefR958Pumd57Lh9j7UUTHRgybHd0w+JUVezgeGeJMfBSHauGO2i7W+qoI2l0ki3neGDrHiyPnZ0iD22LjF9q3sDrciKpo9CeiTESzjA7lKOYMquptjNpHyepFVvhrEU4vct1tiPoOiI+DagV/NbK6GZFNEZMGscwgj6/QyeVBIPGmL6JmW8j6OvDbnDzZvgklq3FRydA/ECXgtdNV5cKrCdaHGhlKxvl3DeuxFRT0vBUkrHOVKAYMUoqNWCHLI/5aHBND8M6zUMrjdQf4/+58mIzNy0Q+zalY5RJAgCupKe5rWEVGL/HF8+/NI+27qtv4pe5dBGwOtHKJ+1tyJKpA1w08hVGcU5NkGlfgdgeIF7L8YPAMb87x+dSEwidvewynZkcVClqrDy0r0apdM1mWwmSKglNDpmIMNnbxt0NnGeyZVQP0Wuz80uZ7WJmIEPX4eXP0Ei8PnZshFIoQ3N+4hn21nTj8tZy77xc5MnaFLWoNvqIgZc/xndI497au5aF0lHgpx3f6Tszbfn/9CjwWGx7NvIZFdADL2R/gU8tImwVxPovwPQi+1Uv/KACf1U6Xt4pLycoLz21VLaZ1yQ3CSMUQuRRSs6JMlynGCllIF2iqd+Hxa8SzeYQqwWqwxtHEZDJB1u3H0bwK5ZP/HjnWC5k4oqoJqpsRbjNYY6l2LbAAUEMOih4FK2aZcigd5xMXj2PpOw1I1jZ0MbzlHkZsCVoKgqkt9/B3hRQ90dnbe3tVHZ9uWkHA6uCptk30Jif5P5c+nBm3KRrPtG+iLAVChV9auZuv9ByesTtShOD2ui42BhuYzJvBk/fiI6RDjSgOB6PZGMemhYgypQLDpQSWyQFqP3wBbewKCEGhYyORjfsZUAUvDp6t6NtZNHQ+nOyj27d0oCtdKtBe3cYf1HXTePxNrAOmkNKappXcuekuTqiCRkWDd74Jk3PEovQy8tgrOOraUBWVSD7N8wNnuBQdZ2ddG5fiE7w4dIZfWbGHkMPNVLLABA20P/mvYaIfUcgiqprJuquJZzQaG/wojSUCfceQb7yIzGfA4Saw7T5KTWvAE76ha+p6UJyWytYQNyCIoikqu6o7eLt/gD+8dJy93lUMllT6r4zTf+gKI/ECmQp98gv3I6j12WeUZpuDJslsDbloDbvwO390mwopJYz3ohx7FXnxMBg6MtyAsucJdNGF6roFBG4RCy8AcilTPf4WwdbkQ61xIXNlhEtD036yxC9TylMc7sF94FnUsd7p3+EmYls+gru6GedNCBv+U4f0hKFxBVSyvHF6kb6qG7ICW8Y0lvI6z6Ur214t42cCN2PRUofZ//mRqy9N/ymBRuB1IcR/B/6dlLJUYRfL+DFDpOPIA8/iHLvCXOkHKRTE47+D+TVdH6XJDLFvnpnxzVODDgKPrUILOVEUwYaV1QyOpZiKz/bf7VhfR1XASVEvk0zC91+/gj4tXDE4lsLvtbF9exVjd32Kuu/+MVw4iDExgPLRP0Bco8goDQN5/A3kh3OUJDMJ5Ev/B+7/DH0NHRwcHcA65MFa8nFPdQ3lksGF99LUby9TbUlxJDLEK6MX2VHVSrXDg4GkbBh8pf8Ev6pasNpcjE9mefe9WdnxgdEUdbVOTuqj2FQLLfkcTAxgDF1ADJw3y09vfwpx6m2mapo5Ig0eOH8Qa+8p5rW+HxE4nvgdElonSk7jtQMDxKaVZwfHUpzpmeLR/Z1UewS1+Ty2kpPE68OmyASgeGz47m3CV4wzXBbUnHwbTr45u/90DF79G5z3/hLp5qWJ09HIEHfWdfGN3qM83bEFh2pBlxJVKLw8dJYqu5sVviocvacR736Taw16HHs/SnT9bRyfGuB4ZIh7G1djVVUUBJFChq9MXOGf13Zwd8NKPMJJphgh/bZJWIRFwffwCi4V4jhtIb48cp7BzPxymWQpz+cvfcjvr97HYHyMl65RUjWk5PnB09Q6vQRsDk6Pj/CRwQDitPm9eRVB9d1NvDTez776Tv77qVcXbP/q8Hl+sXsno7kkDdkk8oXPz0RNZ25i473Ix34HcR2PTYdm5dHWDfyPk69RbXez3R2gJCUHUlMU9DLbqlpQpksBCwNxCldiGOkito4AWrUby3Spt1HIweB55PvfQ04OgMODseUj0LWFkt2J0+ni+LkYQ+Mp6hucGBKGBnNYuwu0NDop6rpZ8htuQIQbKs41Y8nif7CF1Hvj6PE8tmYXrnUOjMwEUxooqSk6XvsySiY+s402fImWySFK9/8Speo2/mI0xnA+xR21Xeyt6+DA2BVeH73IJW8L23QriXyGw5H5fU0Fo8xf9xzmD9bcgV21sq2qhRq7h/FcCl0ahOwuGpw+nBYbupQ82baRoUyclwbPUpYGLe4gT7Vv4t2xy+wJt5Ob6qP6+S/MLiSkxNZzjNqJQSYf+jX8yuKL39PTvalL2by0eILYklHaX/lbkzhMwzJ4nrbJIWqf/H3U2ATG5EDF7Tn4PHrLal4aOs+J6BBBm5OpQoYSOkVd50/Pvc2/3nAvdsWGLlReuVjmgbVdKFKnL61x4WKaTauqKRcLOK+cmN/KkEsj3/4mltsg66/GdguIhxpy4NrZROb9WcVha3tgxnIBIJEt0juVoS+SpXdq2jtzuj9zPJmf1iRSeJVFfCMBr12rnM0MuWkKOm7YzkSWCmY1jM2BuIkydzkxgPHa3yImZr83MTWMfO5PUR77HXCtueF9LQpPaFGRPdo3wS3Igs6FZtXA+tPJOpbHB/B+70+u+R0eRZscIvHwb+Csvr6ewzJMKE43xq6Hkd/pvYYgCcS+j6EsW97cFIQvjBRKRVsoWlaDa7m0+WcVN3M3OwP4mF23fQ/438Dngc7p1/8ZJknddAvnuIwbRWICKvhiIg3kqXfQq5pQr+M1J8s66fcH5hm369Ecmf4YGd1gMpZFUxU+sqeFUlknl9fxum0EfTasFo2JZJxjZydnCOhVxJMFiknodVqos7tM5cTYGEwNw7W2APFx5OEfVJxfqecYr1Nik72dt0fN3tTxqdlSu3ePjhO6q4k3xnp4qn0zb45c5P0JM/Pm1CzcUbeC3mycJmycPL6wn210LMu2tjATuSQN2Qzig+dMJUBArN6DPPUOcqSH4U/8G9bEJ7D2VvIRlWiHXyZ+VzWxmJghoDPn05AcPjPGzm1VVBuS3IXUDAEFMFIFsidjuNZBo0VBnH6n4rngw+/jq2nBqqgUFxGl+nTbdl4bPcenu3bw7b4TjOfMvk+XZuPB5jWkCnls8UnEoRcqbi8OvYCzaQUX4+PcVtfJ68MXZzJaNQ4vT7ZtIlbIoBtl9EiG4pVZkilLBslXrrD5sZX0FjP0LbDtMZHTSwzm07w2vPiC9sD4ZdYFG9gqqhGn52R+DYn1jVFW3e8nXV5cKfiN0UvcU7+Shsho5bKdUgFj4CzqdUgoQLsnzH/t3glnP8Bx5HVQLdy17jbo3o5nOgtZGIgT//a5mZLY/LlJ3HubEdvqzQzG0AXk9/6EmXRULoV891uIVBTvrscYL8CpS6ai8dzr5+DJMZpqumZ6TstTw0TLdkplicti4FVKKFUNjGcShEYvId74CoHuPcjVNYiRI4gfnEJp7CJ7/2cIJyLzCOgMijnCk0Okq1uYyqf4w46HKA0kKJ4c5cGGah7r6KY4mSFqSfLG+OWK50giOREdos1fjaaoNHuCNFew/1CFwpsjl4jMEZzqT0cZSEf5eMdWUrKAp/9sxUi2kpxCi4zyaMdGDh8ZWjAOZlY2aHWyp7ajYs9w2O6m3unDPnAemUst3EE+jXNiANz+ivsHIBUlm8twLDLIk22biBYyXElO4dJsPNq6nuFMgtPRETY5W1njzbDB34d84U0oZOhoXUfH2tsYxcARjyAPv1TxEPLQD3A0rZwRy/pRoLlsWNZUkfVa6R9NMVQsM1Qqc+UH5xmKZhmO50jmr5/BUwTUeO00BBw0BZw0Bx00h1y0hpy0h90EFjG5v1HIUgFGejAOvgDRUahpRdl6H9S1I26k/DMxOY+AzsDQkWcPYNQ0o/6oJDFQg9j1iCmyNxeaFWXzXYifcLbyx4V0qYC4cqLi71BNTCCnBskFa3H8CL3w/9SgNK1CPvH7yJ4jyNHLCH8NrNoFP2PKuP8QIEONiK33Ig9ds2602FA27EfYlrP0P6u4mTukH3PFVAD+hZTyjwCEEJuAPwM+hUlE19/iOS7jRpFd3LaEyUFEIWsaSy8BI1+m2D9fmEPUuOiRkrd+cH7mNVURPHZXF92t8xeWpZJgPFK5/2oqlgOnNOcwLd8vU9GFZSe5zKI9EZlAFcOZJJsUs9+vrcVDIGzD0CV9vWmi8Ty5kilO9K0rx6hyuHmweS2KEAylY7w4eIZHWzeglyTJTOUSDVkSJIo59GQay9xG93A9THsypvQygcLipEeZGMBu6ExEzWPYrSp+r51svkQyXWQikkUxNNAtFAfjC7YvjaQQa8OouWjlKDsg4hNoxQL3Na3he/0nF4zbFI0CZVYE6vj8uXfmleJmygW+fuUon+7cjlLIQGGRnrlCFqWQpd1bxbf7js8bGs8l+WbvMX5pxS5a3GFKpxd+DiNVQObLpNWly2Em86mKirMzkIKpfIoV6QBanYfs3ip0C9gSOurrw3hKGsny4gUY49kkBaOMno5NK5QKCDeYWYzIsHm9jfXO2yZWyJArl3FqFvxzbCWUxCSO7/4pzBHlcR54FgbOIR/8NYTLR6E3tqAnM3NwGGtbAMNjTNskLczMyZNvYVu1k0zOD8AnnugmK4sIwG5Y+cp3L5LLl7CqKvHxKc4OS46c66dUNgh47dy+uZbmiUFsigpHXoZSHnHmtXm/MTF0EZuq4EhUtu0BcE0OURQq/6X7YVIv9lCeMH+vxSsxtKoIru0NFOylimI/V9GbiVM0dLQlxMYuJsbnEdCZ8wC8NnyBTm8Y9/jinR6WVJTsEnPYVdOGoqjsrWnHrmq8OXqJkqEjgNX+Oh5qWYsdAZOVfUgBGO+D+ruoWMMK0LiClKrwYPNavn2NWvDZ+Cibw00YGIRkEvXoS8iLh2Y/57n34cpx6h79bSgVkRXUnQHIZxCLWZ4sgkyhTN9UxvTOjJremYPRHMPx61mazMJpVWnwO2gKOGicFgAyS2bNv1u1H58+qrx83FS7vIorJzCunER54nehde3S25ZL87LaC8YnB8zz+SOSUKFqsOFOCNWbAYR0DNG2HrH2NkTNrfVC/WlCN3TcV++PqmbeO/UyTI0AEjUVI18uL5PQm4Ro7EI0dmEU82bgQrmx6oBlzIdis2Ns2I8I1SOPvw6ZJKJ5JWLNXkTjjavVL+Mnj5sN010EnpFSHr/6gpQyA/ycEOI1TMuWn2yn/DJmYV/i1AdrkfYb8S/UsNZ7KMzJaJXWVPP2mfmKuLoheflAH888sBL3nP4dTYOQz87wxEKhnKDfTpaM6Yt49XiVSLHduWiJk6brbK9uQZOCbftCvBO7SG90CouisqO7jd2WOlJGjny5yEMt6xjOxHl56BwlQ6fdE+ZjHVs4PNlPR0N1RWVbAKFJPBYb+th55nVJzYkCO1SVgnXx6JoM1ZFXNKr8Kg+sc1KbH8Q5fomiv5p450pOxh2UhY5USmi17nmZUABLjQspihh2F+pi/imeICWLlb2hOgp6mVeHz8+I4oRsLn5pxS7cmoXXo8MLBJyu4oXBM2xpWmf6VFbyHLXYMWxO3h4yM75VNje7PE3kjBLvJfvJlksIIehLTVFbvfC7VFwWhF27rlpsyObCqVlIliovwqvtbgJWN6UuL4erM7w1eoBsuUiNw8v9T64iIOw41MXJSNjuxq3ZyDq9uDs2Iuo7YbwfqZcRXVsgFSVjsaKUCuTLZY5FBnlp6CzJUp6gzcn9TWvYEGjAZ3ciB8/PI6AzGLpgSu67fKbi8jWQRd0UhMmlYTFi5fYj9TLVQY37H2nga31HOBcfRQjBplATDz3aRUBoGNFxeiZ1Pjg1W04eS+Z57u1+PnpnC35LGrGIYAqAM5fFuUg/NoClqhmvakPG0jME9CrKkxmQYDM0VKEsKsTU4PBgXYKA6obBocnFCeZEPoUqFHJVDTgHz1V+kyeIXVjwWx3EryFwDU4/nd4q8qU8De9+m6odj7Ap3ESqWMChaoStTvyf//ckP/ZZCC5R/hZuBG8YsfFOc4EzF4qKsu1+pGblnbGeinY1R6cGWd/dgJaJzCOgMyjk4OJh0/ZJs1buX7Lakbb5liKGIZlIFeidSptEM5JlYLpsdjiWI1bh3nYtBFDlsU1nMx00B100h5y0hc2y2ZDbuqQNSCyfoWToOC023Nf0BMroGGUsULQiVFD1BFTX3ZACukxGkG98pdIIxltfQ6luWVrRXdWu8zysQ1pvTamssLsQnZuRzauhXDLLhv+RCfWoQiUbbsQVqjfvUWN9prDg6t3IoYvoLh+OfyRZ358kZGQUOXAWOXgeUd2MbFsP1U0IsUxGbxaKNwird2O0rjPXMi6/eY0u42caN3PX+Fvgs9OkcwGklH8thHgfqPTkWMZPAt6QaR+wwFRdINbtQ9xAlE2xqLj3tFAcTiIL5qI+rVTmQKlMkXS2NI+E+lxOtqytZuSN9Lxt3E4LTp9KUHXO2koEGyjWtGCUSzjm3iz81Yh1+5An3lhwTHeglkZXgJJR4m/PH5jJS5QMnXenerhgH+XpwFYa1SBf7z1iirxM40pqit5UhKc7NuOwq6xbF+T9D8fn7T8csjMpEmxyNJD3BJgngK/M/lzqiiUOC2ip70IbucS1KG+9DzSNFb4U1re+OEO8HYBDvEz1/b/BsBoApxPneielgQTG9KJR2DWcm6vBniVms1OzaldFOXex82GiVjvNNiePtKzjtup2skYJTai4rTZ8Vgfj2SQXEwtFpK4iUsgQ9/ip3nw3fPj9hW/YfA8xt5+pfIZHw6vYOOFCO2TapOzYupXv0kvQ4sTntaOWVbQaN+Xx6e9XEXhub8WQBlU2J/VOHyPX2F+AqWLc4PJzR10XX71ypOI814UacGpWvtl3nCvJKVb4a3BZbIxlE/xVz4c83rqBLvu1Ha2z2FrVgt/qIOcN47G7ke98c2ZMXj4GDd0oux8jVsjy8tBZPpxDjqKFLH/fc4jxhiSPNm9AvXxs+gsQ4A2bwZKUSUrl1DCiZQ22riD5c/NJoLXVj/DaQJbAG6TsrSK193HT81MoeFNR1KHzyNe+xuSjv8Yfn3lrJnggpeTI1ADn4mP8xqp9KGWNo+dmCajFAqWSGRwaiRZwNjqwVTUjRivZ1gis6QTCX428Who/F5oVUddOyijhraCiCiANifNsgj1Nrbw9XqEFANgSaloyCyoEqNchJErJQO/YCCfeXFgd4fRCVSO9mSi/0L2L3tQUxyKDqEJhe1UrtQ4v/+vUm/w/q/agDF/EkjAIDWZwF0pYVBVns4JRU4UrFUU0dCKtDrg2E2mxIxq7ERYr7HgQgvVmFjubgKZVKLsegdp2CukoQ5VKm6dxPj7ODrH4gkgOnCO3/X6cm+6aV1KWlwqDuovB1jvoOV9i8P1TDERNW5ORRJ7iIt/PXNgtitmb6TcFgJpDTlpCLtrDLpqCTuyWm89mTmSTKNEJvN5aQCE9cp5Jrx93oBaHxYacHKJU8pI9PkahJ4Lqs+Pe3YSixbCGb0BgKR1fPJMZGTHvp0uQUCEE0l+DDNQgYuPXjiLW7EW5FcJEc/dqtcMNem3/Q4PbasNYsc28b04/lyXAhYOIdbfjr2rGupwFvSnIiQGMb/632aqwnqPID55Defx3oOUW9Cv/E4Xi9AC3thd7GT8+3IxFy8/fwHsuCiF2/WhTWsYPC5FNwT0/j3z/e9B/xnzRHUDc9iQyFUOoNxYVstS6CX16I+VI1lTAs1Ymr0KwQCo/VSqQsKZ4eH8753qixJIFmus81DU4GTWiVGezoGhEPvJzXPCFeeviBxhSsru2jbWBBmqdXvOm7PDAjodJql4KqgNHKYXHYkAmgd/m4Avn3q0oMzKZzzCeS+G12OYR0KuQSN4a7aHdHaKmxsGevbUMXEmTz+vUNzkpewo0BoKowHi4Hv9cX79CFtwBSMeoee3v6Xr0s5zbZqczupWscCIAz8R5aFnBQUWlQxqIk6/Oy/yak5Cor/81rid+D3JptJf+F/57fptywQYSNHsR9eX/jH7Xp6kRfjMLs2oX8sJBk/DYHIj1dyJTMcLTTL83FeHI5ADnE2M4NSt7ajro9FZhUzRcFissUuWnCoW8IdHbt6IaBhx71czEaFbYdDflzq3kDYMmZ4BNI07E0QkMgGwJy6vDPHh/Gzm9yNtjPXwi0YpjYy2KVUWWDRSbRubECO7dLZSkzkfbNvHly4eYmkN6bKrGz3ftpFQus8rqY091O+9NzCc1t9d2UigXyZWLeK12HmvdwJnYKMOZGI2uALtrOnhvtIcWd5BtVS0Lsmt7ajqYyCXZGm7GXcwhz7xLuWU9yZatSATuiYvYLh7Ampik7AvNI6Bz8drwRbZXtdHkqyax5T6ybZsxihbTR17N4jv7Nq7p8j5hUXFtbyR7fBRpVbEGHdhXVYECwuEn/tBnIR3D8+630UYvI/Y+iXHkZWQqSvzX/ievXDlSMXudLRc5MjXAfXWraKhxcX8HptduMWtmxt1hDg7rSJsPue0+xNy+06tYuYN8uAbLUA9iz+PIU+/AxPRnDtYhNu6HVBRXbRtqQCIsyjz/V2FR0AJ2Mq0WWtOC8WyKC6lZwq0IwdOtG4kvpRwKKEJhd0075+NjFcdb3UF0TSHrr0F56DdwvPU1lLgZUNHrOins+yhFp5exyBDPXThFpyfM3fUrMaTkhaHTTEwHu1SgdPdnGTBKHAyN01OIEtCc3Cah7a5fw5Psg2IOse8pM9N51UA+3IDY/YRZjQAIl9/MhnZtNjNeDrdJPGBJ2x6AXLkIroULIykhIm30GzUMnRhnYLyWQcvD9E8mGSw7GTems58HASr33wKE3FYa/aZnZlPQScu0b2Zb2EWVx7ZkNvNmEcml8aUNjJSP9LtmiaZjQx2qtJKcGsJe1UIZL6m3+ygNmve+8kSG+HfPE3hyDdIaQVzPLsFiY9HyZ81i/ncdiKpGlHt/GXngOzAwnUl3BxD7PooMVRbzWsYSiI7CyMKgljz1Flrnxp/8fP4BQ5aKGB98b2EA0NAxXvpLlE/8O8RSfejLqAgZG0NODUM+i/BXmffwWywOtoxbi1tePyGlXNZC/ikhGWpAH+vB17UFseUj02TCRm7wPPkVWwlZbjxSqQUcaAFzARTKFgn6bEQT8xeVG7qr8Hnml2BFCmm+ePEAt9d1smZNHZ14iJczXC6N8e7YZdb6a6n9xf+HP+85yHBkdrH/jSvHeNl6nt9deyd1yQj5qjbOp1wcOJ+gWDJw2KvZv8ZHG6NkivkZa4dKOB4dYlNocSXg0WyCVKlITTmP5rPi2eSloOsYikFI8eAtFDiZS1Gyu/Dd+4vUvv1NSMeQx15D3PkMxvHXEVKiSYHL085zFxyMTpoPk7aGvTT7nPgc4CrksVw4WHkS+QyubBJluAeySdTv/6cFHoCi9yS0rkV+8D3T/3HnQ+ZAuYw8/yGkItjb13E2pvOnZ9+e1593OTnFhmADH23bxM7qNi4nK/f/bQk3YVEVLgnBO4EQH330t7CXChQsdr6RmmAvEr+i8Fh4NeLt4QXbuy9mGK+CK6kIWssGyJbJ90QwEgVsnUFcWxrIajpTuQx/ceEAn+jajpSSZDGPU7PgtFj5fv8p2t1BHg+s5mFXHdu6axkv5RAIaiw2QrpO1OpgMB3DpmjzelNHs0mOTA7wZPsmMqUi2XKRJ9s2UtB1hACronIyOsIKXzV21YIlMkJi3y/wXizEpTNmkKI2uJW77tpE+Mq72NvWLXrdSCTDmRjODXcQTRYJvBnFGJ8OdHT66d+wn6aABx+QthhENjgY7w5T0MtU2d2ELRaq4wWKMgPpGL7v/Ymp5ufyQzKKmM6mJvUiZ+Oji87jeGSQO2s7uL8pj/zOn8/L3qmNK9hz21PIco6pcAOhh34d3v8uIjICNgds2E++ewuasMHUMPLQD8xy5M7NgIRkBPn2N6BjI+XOzRzQh7j9kZWk3uxFj+RQgw48d7bxoRgnUHTzNz2HuL22k3217aRKeayKBorCKyMX8FjsrA804rAuft9pdQdp84TovUa0yqKo7K7pIK+X+C8nX+E/brif8mOfQ6TjCKGge4NMlMp8/fwBHm/dAEBPaoqe1MLrvKja6HUafP7iezMKuaMkOZsc425WcHeoHu8Hz0HPUUT3Nli924ywTQ0jX/5LlEd/a54wUaUWgoDNgUuzkqlQSmsYUKNW89ZYmYHyKgZyGgO6iwHdxaDhIis1mAIuXg2+WID5JM2KTlPAQV3IS1PQFAFqDbtoDZqWJg7rzWUzjVQMERlGpuNm2WqoHuUGDd31VBp9UpB8YbYCpDiYwHt/F05rhpx1AjXjmCGgM5BQHEli9dzAc8hfBZ2boOeo+W/NYhJ/QGzYb1YgXA9CYETjiNs+hihkzOehy4cxMoAo3Yhb6c8WjFIBMTUMhSzS6YFw00+sh1Avl+Hi4cXfEBmDtmU5kBtGOgY9xxcfS0wuLYa2jAWQQxdN3+yi2VYkAdrWo9z1qesHvZbxU8NNkVAhhAP4DeB+TL+PSk1xUkrZcQvmtoxFYBiSbK6Eogqc9tmIsJ5N4Hv5r6FUmBc/tgN5T4BssO66vXmV4HZaeeTOLg6eGuXclQiaqrB1bS1rO8MLZPYVIZBI3hy9xJujlxZYI1g0C+dySYYrlGUmijneGr3ERwMNDBckb56a7UvN5cs8fyTCx3bVzlhgLIZFeyjnwKoIXAdfIthzhFLbJopV7Viig1gvH6Zc107LXZ/C5fLxpcgBNt72BO1SErS5OFLKktl6DxtsTlRp4dV3B0nMMXnvHU6SK5VRO/K0herMEt6qJkTnJjOLqWgwNYS8cNCUFFctZkZl7W1mXyZAuYA8/a7pS3p1kTHehxzvu+aDaoDCN68cqygQcyI6zFOtm9CEwsZQI8evsdII293sqG6jUC7ztcGj7Knt5F29SNIo4pUKbb5qvj5wjF/s3oXLYkWoAnlNRaSwKJQMHUNKRMkg/tx5pC4RqqDYH8e5uQ7LlhqELsgbZd4eOse97hA1+RwlTeM0BmO5FCu9VcSNPP6YjdZCmg6lgLAplD1u/uvkOT7duR2Pzc77ffPFgwAMJC8NnuWXV+yiPx1lLJvgyfqt2A0rChC351gfbEAIKPvreLvXxpWx2Sz5WDTPd/MWnl65nbJc2uPQpli4mM/ScSo/S0ABeuL4a2ro9RapzyQ4Jab45qlj8679dk+Yp9u34CqX8B5+aVZOvqYFOUcZWDBdTrjINawKhepMAvnKXy4oHxVDF6D3BOrux6gBRq1WnA/+OrZCDl3TSLoC1Ll9jKYTOCxWUym0QqBEWGwMpqN8u/8Ex91D/O5DuxFFA2lT+eOR97k4PMnn1twBwMX4ON2GpLmYR1c1zguYymfwW50oYunfYbKUp8tbzSp/Lccig+TKJbp9NbR6QrwweJqf69qBBP7wwjs82bYRxelGEYJiIYMzMclvKTa8wz38s+p2Xs0lOX4NCW1yBciogr/rPVTRouXV8QusDtXivXKC7LrbKHduRs+mkEgzk+avxp+YQjR0LfoZpJQoupUNthV8a+A8uaxCNqvM/JnPCV7hKsFcteh+QnaF5vIkTWqGJjVLs5qmWc3QrGaoVvJoT//LWyKyYUwNId/+BrLv9OyLgVrk/b+CuAH1XZ/qJnVkYQtC9sgI3oe6KZcnQTgrbAlCVYDr+4gKiw1l70cxmlYgSkWzb9buRFps0LbuhlpLiI0jXv8LKBfnffMCEPf9KtxIWfDPCIypYTj6CsbZA+ZzxGJHbLsPY9UuFN+P/3OomoauLhHouEG7nWVMQyjms30xUbVlgaKbgkxGML7/ZzMEdAa9J5E9xxCb7/7pTGwZ18XN+ITagbeBzVdfWuSt//BCjP+AEE3kOXFhgrOXI9gsKjs21NHR6Mdh1zBio4ua9vrOvEe8bT3OH/KBFfTZuXtXC7s21CMEeFyVBSuq7B58VgeJ6cXxtQu/Vf5avnJ58Yjqu2OXuTfczuH+WMXxC6NFttQHaXIFFnhOXsX2cAvWJUqPO71VBHQD63gfYx/5fT4YkIz2Fwh7m9h99z5qD/893lyaULiRz6zcQ18qysVsgguJ8Zn+ymJdNxuyzCOgVzE2kWVzV4AhDLrueBp19AryvWdnSUdtG+LOTxBzuAg3rcTmcCI/+P5sD5TdhdjxEOVwE8LpRvirIb6wr1Os2E7K5WU4G1/0s55LjFPQy3R4q9gcbuJ0dISCXmZVoA63ZuWNoYvcXt/JHfUriMUSbJRhbCkXBY/KcTHFnQ0rSJXyHE8N8+D2OkrvzCeypVV+/FbJ7TWdFAcTOLc2mGS1aKA4LeR7pnBnwni9dh4It3DH+ADut749cy7awo2s2v2I2b/Vkyb1ziiWBi+Kw0pxOAkyy957mhjOxogWFqkpxiQzBV3nt1ffTiEmeOv9IdLZEooQrO4MkvWUyagFpKuRK2MLy23T2RIxd+OCbPRcqEIhYHfSH08hriQX3OgcVzJcrkqhCIWv9x5dsP2V1BRvjV3ikYYVaHPL2kp5sM32pwUUC1tCTRyaquxLub26FRJTZt9cBcjT72B0babf5uTbfcfn9QS7LTZ+vmsHK9xV5GtaK0YRAcrtG6iZLmO6ko7wuQvPLXhPwOpgf7iFe5IxfC/95Uymqs1fw+p9H2XS48N2HQP7bLnIy8PncGpW1gXqsaoqfakoByf7ADMw9VjLevw2B1+9fGRGfKje6eOjrRvwfvgCysQA7cAnNu7HGarlQHJ8Zn6f7NxGJJ9ZUnm5JzlF852fpGzR8D7/+dmedbub2J1PEws14NUNRuN5BqJZrkyl6Y9Mq83GcgzHcqQLV6MzlckXmIri9W6NtoCVJodBi0vSVO2n3mfD7gnRZU1gvH/KDCRci+Y1SKdn1tc2GTEzJpoVfFWIa0SLFoNhGHDmAMwloACxMYw3voJ4+LMo18nACCmQFXpRZckAwyCnaHhdYOsOUbg4J8OtKVjqPWZj/A0gW0hjP/gCMjMbsDT8NWRr2/B4w9cNRpYjwyiLmNQbJ19HdG0ye31/zJCJSUjFzBJjf/UNf1dXYRQKcPjF+boApTzywLMImxM23XWLZ1wZonsb8spCFXYQiKWEvZaxEO6Aacdy5t2FY8Fa8FX/5Of0Dxmx8YVtT9OQR19GrtyOcHorji/jp4ubyYT+FrAFk2TObda49u/L+DEhnSny3Bs9RBJmtKdQ1HnlQD+5zWW2rKnBKSWGJ0T2rk9gtzpAL1NSrYjT72Afu4I0ru/9thQ0VVlQfnstrIrKA01r+OrlI1Q7PPitDkaycVKlAmsD9ThVleIi9isAZWlgSCiWzUvK57HhdVmJJvJkciVyZYmvXObxlvX86TW2IwBt7hCtTj92m4NWd5C+a1RMLYrKk20bEckoUzs+yTeP5nC7LHQ2B5iMZfnW0TQf2/ZJHNMRypDdTcjupqTrnInNlki2eUJEEtM9Z4qgJuxCSsnYVAYpIWB1oqoCo1xCudbnc6wXQ9XQWlZTLMWxvv2N+aIr+QzynW9SeuL3GEOlZf8nkUdfRazZY/7CSiXkuQOw/nYGiotYq0zjVGSE+5tX8/zAKbaHm3jcV4swDCZVlVcn+rmnaSWGYTAZj7P/igf9gilqpQH7VgR5XcSpqfWwr6qZ18qD7LqrHsfZJNKukl7j4ZXsRXYFulgTrEfL6qTf7UefU7bt3tMMCJBwb9nAcvTVefNTpoboPPBd8o/8JplYCgSoDomttoy9xkl+VOLGQrJcpnid67csDfS0yg/evoIx7VNrSMnpSxEcdg2LHewsHmEuGwKvauWu+hX0pab4ROc27KqFbLHIly6+z7bqFqyKxmgpxWqfDabmk+JSyMrGqjDvTFQW6gE4ONHHnpp2vG4/6GXEyp2mGnS4AZmYgMQU7i/8Prf/0v/L2fgYqlCodXqJF3JM5FOEbC7WBephZPH+QEoFMCQvDJ5ZIEqVLhX44vn3+Bfr7uHl5Dif2PM41ms8Dssb9vP1bIx90+e7y1fNGn8dOgYqCmfjo+Z+9TKPWJ1Y3/vSvO2V+Dhtr/894Sd/f/E5TsMznf3Plot8OE0858KuWrDaNb544b15r49kE/zZ+ff43AOfoeOv/i8A3Mdf58lHfpPaYB21Ti+NLj8FXV9UGfoqCkYJ/GHE1/83Z0p2BvR6s1w26WbwKxfos6cYS51Gv051BYDPqlDntVPj1mj02egOumnrfYm2fR/B7Qvg/f5/g0zC7NGOAtPOMMUHfxu8IZRVu5Br9yEC1WZU3+pAxkbNvqYPnscI1kB9J/KD50w1ZoCWNSh3PoNYQu14BtFR5Mm3Ko+NXkZER69bBpjXMjjX15J6Y35VgmN9DXpuglIwgFbM497egKXaRf5iBNVvx7mxFqu3jHBdPxCaTMWwv/lV81zNgRIfx3L4RWJ3PkPItfg8dcOgWMxj9YaZ2nIP4043JQRhXae65xj2+MTiWajrQJaKkE+DZlmy30wW88iLh5FvfdXM5IIpZrX/k4jQDXxX0xCRQYxzH5jBhhXbTQn6fBZ57gPkwecxWtegBGp/qM9yUwg1wIodcOHD+fPb9xRGsG7JAN4y5kNoGsq2+zCGL84PMFsdKPf+8tLKz8tYiCXWlObz8PoCbsv46eBmSOjj03/qwHlgLSb5/AZwJ2YTy8vA4s1My/iRMBXPzRDQufjw5CjdrQEcvmqMB38V9/E34OIhMHTUYB3sfYL0mr04b7BBO5svMTyS5MyVCKqqsLY9RF2dB7v1+pfLeC7F0clBfq/jHvoGkyRGi2yp7STUYuNkepDz433sCTXxg7GF5VxgZkpdVo2NzXbKnWGiyTzxZIEVbUGcdo2gkkXa7HSfOMDnVu/jwGQfZ2NjODQLt9V0sNrhoTY6itq2js+s2svp6AivjVygoJfZGGpkT00HdlUjZXMyWHDwwD43qUyJsUiGziY/uzfWc24owZb6+cqJFlVle3UrV6bL/ZKlPLoiWN0RJOhzMDSWQlEEt21uZCKWRbGBv1xGO/xixc8phi/hTEaR472Vb6CGjhw8T3X7BijkEVWNyJf/ysyauf2IHY8g+85Q370Fr8VOspK9CrCzto3xTJxnQs04D72E7fIxkBJ3TQtP73qUpFCZKufZ72hBvzBfdEK/EGX/2k76ynlW9J1B8QY56Bonu0VQxqBZzfFYpsBwqcCZVJSqbHAeAQXIHB7G3x5A6kUsh68xkp6GMjWMIzZFusVLuE0gTj6HeN/0pLU2rabNcT/DNgfuJZQnLYqK22IlNpGfIaBzcfL8FM2tLdiLU/jdVuLp+RkSTRV49TgGbm6v7eRRqwv19HuIyAj+6mb+df0Kot5qbKpGTz7K7p1rsD8/OBN+E1aVSKedGquTiVzliCyYRDlbLsHOhxGZOPL4G2YE1+owBYEyCeSZd3HmLfxe9z0MjaQZGkmzMWijtcuLzSUoJzB74hax8xAdG0k7vZyKLuzhBSgaOihwIZvgC1YH9z/wGULxCYShEw3U8EYxw9HEOLcBT7RupDc1xXf7T5olqgjWhxr4ePtWFATqsdcrHoN0nNLEICV/LZYlyvhqnV66vFVcSi60k3GoFupcPr5wrkK2AFMR+8OpQVo7t6D2mKrKjktHuff+X5l5T6qUJ2BzogmFkmGQzwuzTDYzWy575UiS/xQdJ1F8sPIki7O/T0VAjddOU8BJU9BBS8hFa8hJqxsaX/kjvEoZuf1ppL8BqRdQL7yFyJ5GseyjnJtcQKquwnrqNcRjv400DET/aeSbXzZFS+xuxLb7kIE6OP+++WbNgrj/M8j4hJkN7T+D8f0/R3ny9ytbXs2B0MvIRe4V5mddYuzqW2xO3I0S920tZI+aQSvnpjqsTV6SxjjVTj/CraAlo2hdKraV3QiljFrOIvzzyZeeLlCO5kCXqEEHmm/6N56YRB2tHMyxXTpKfsu9Zi/1IpgqpNG9IUbueIq/Gr9MKT270N/eupLHvHfis1hvagEkpQGjvRiHXjCFjlw+xI6HEG3rKmdZRnqQL//l/NcGz2G88AWUJ3/vxjMzuTRi7V7QrMjjr5nfkcuH2HQXcvgSYgm/6lsJpaYFfceDZjB0rBcsVqhtQ3pCqJ7AT2QO/5gggnWIJ/4AxvqRkWGENwx1bYjwjQcoljENX9hsT6qwlhIrd5pK6sv4mcTN3INXMEs6jwL/FUBK+bQQonr6tdXAL97qSS7DRK5QOdpTKhsUSwYWmwPby38NsTHE6l3mInX4Ejz3Zzgf+xzKDSSqS2WdQydHOXJu9qF9aSDOvs0NbF5Ti6IsvY+cXmKPt4sXX+vHkBKLpjI0lsbnsVK7zsmkTLK3qoXXJ3opXJPZUhDcXb8Ch8tHVa3Bt17vpTRd9jU4lsLttPDY7S1IBKo3TEtUo3qylieam5BlAaezODuKSKs5x7DdzR313Wz116IbZVw2D5rFwpXkFG6Xj8Zag/eODuO1C6rdgshUnuPnJrjvtnZyGlz7WF3lr50pNS4YZcbySdosjbx7dHaxf2UowZ5N9TgUDVUvmovERaCV8miZxQmLMxVFqhYYOIM89fbsQDqOfO1vEPf8Ag6h8GDz2oolzkGbE6/VjleC9/t/jhqftSpQxvvxP/enyMd/h6zbTzqVNavkVIFQxIwaajqVxem3YcTGabTaqYuNkVE1FL2M29DBX0NB1UhZ7ZRjC8tlZUFHFsoUrHLRBTjhBoSqUhXQEd/50/mKgYNnCU4N4v7oHzBqs9Po8le0wthf341DsRDVKy/ISrr5edSJS9y/qp2zOQ+qW2IgEQWFFk3H1/MmkYaPUjUxiPLcn84QPHHhIJrdRfjhzzLur2ZHdSt/OXaSpx5ejS8ukapg0qvz5alj/JvGe2l0BhYVgrIoKk7NgigVkAe+OztQzCEPPo/Yeh88/FtgUXnpjT6SGXMOg2MpzlyIcv9dLbj9GlHDR3DP48i3vjb/AHY3rN3HUDm/ZF+EhmBzuIk3Ri5yNh3FrlpQBGSn+gDYGGrErmqcjg1zcY7fqERyIjJEplRgpd2Neo2g0FyIUp6S1LEskSNxalY+1bWDv7rwPr3p2X15LXZ+Y/U+8uVSRVufqzifGCPZvYXANAnNZvMMnTzDQFahv2ChL5rj8mSCKxE/U6ky0lh4/xq7RjraJUozvZhNaoampjqC23axrjZMQ8CBpUL/mywXMVo7KdfsJvZmHMomgbK1bMC93ovi8qEmo4t/J+kYUpdmD9OBZ2dfz6eR73wTsfdJ5BO/D9/+H1AuId/6mqls/NJ0FnpqyLQuuQ4JlW4/1LaZJELRIFBt2gsV82BzIH3h6z4lwg436UwStcqB/0nTSqI0laYcyWHtbJwRyxHeIMAcr+X5cytHs8S+ex59yqzmUJwWAk+twVLtxlgqsyENjOtURZR0nZjDw18PnGRruJlqhwcDiW5IPpzo5V13gY/o+pIWQgsw2ovx9f88m0GNT5jnf9v9sOvReZ6EslTAOPhC5f1MDkBk9IYXxtJjnkd5bE4VSSZhluPe9hTS4brhErR0qcBELkXRKBOwOqlyeK5b1jwXSj6NceKNGZVc0b0VZfUemP6u/6khkk8TyWcQQlBl9+C/iVJrqRvkh3RUVy2W9jC6YSF/MY/TXUK1X1/9eRlzEKhB3PEM8rW/nf+604tYd9uN9ZAv46eCmyGhV++Y55jT9ymEEFLKCSHE3wL/Evj/Ade1c1nGzcNhr/x1+dxWLKrAEp1E79zKVHg1k/E8mpDUNGwlWJhAuXCQVLgBv33xniWAaDw3j4BexYETI7Q1+Qn5l77JeoSV81eSbFtbi6oq5ItlnHYLU7EczqLAHbDw3OAZnmjbyJGpgZlywRZ3kN017bw3dpkObxVnehMzBPQq0tkSQ1MFrC6By16DKMZx5w6h/OAo2Bzo6+5BKu0IY9p3K5NA9p3GcfB5s8+rbQNy8124PEGmChmUnMK9rSX8F95AvTKA7q8jsXo/PWNRql3uBZ+t1unld9feyctD59CEwhZPG28cudaTFT48OcZjVR1oNh1Z21HZq1FRsdjdKOHFrQJETStKKY88817FcePQC4hHfpPJbJqf69rBC4NnmMqnUYRgc6iJXTXtKBLU6Mg8AjoDvYzt8nHya/diuMC6v5UIUNQlIauK81KEmF0HvYzSvQ358pcQDWtxhlci0DF6DyD6z2BdtQM9NoK1LkTu+Hy7DTXoQDgs6OQprd6D5fhrs4OaFbH7MVOF9JW/MiPs10rWA+RSaFNDDHsDbAk30+QKcHhqgJKh47M6uK22k5FsnFy5QMBfuVy8uyVAWAW9qokEed7IXGJywiyndltsfKyqnXDbGmzlEuLtry/MMOYziPe/h37/L3MhMc6mqma+MHIEKSVGSeIoW7mvaTVvjFxgQ6iBt8d6kBUox77aTvyaHXn4pYrzlMdeJb3+TkZGMzME9CrKusHp8xFWb/QxkJqko6aF1kd+y1RKTscQTSuhZQ3/baqP/dYVFfd/FRP5NOuD9Rye7CdVKpDXSzNjNkXjttpOiro+j4DORU9ykqJmJde4AscCH8bpz+IOYFev/4ipdXr5rbV3MJpNkCjmcWgW6hxegnYXg+komlDm+KVCoSBmspgTJY3/TybKSPR2Bg0XUxN2ONS3yJFmOiqx2yW1fiu1fhtNASd7ZIymC6/QrGYIiCJz1+Vy4wZy3TV4rHZK5TJ9qRgFvYRbs9HgNkNVQrMiNz5I4rkhHKuqUL2m3VL+4hTl9rVowTpKJWPRB67Rsg41Orz4dXH4RcTjvzt7RSUjcA2Bkvn0dcmI4vJh7H7MtJsqFiA2Bu4geANQyKFUNV1nDybUSJHE987Pe01YVQJV62DxgoV5yJ2bmiGgAEa2ROrtPvyPrsLw+M1sf4VgTrmuk+IcAidLBbM/WgjwBBGqhsdq54OJXp5s28Rbo5d4f8IsHbarFu6o62IslyJZypviXDcAWSpiHP5BxRJeefhFxModMPfcFfNmn9piWELdfQEUZdFngDzxOsrqG3PF601O8XeXDjI0rSFgUVQealrLntoOPDfgbyqHLmJ870/m3aPliTfMbOy9v4RS03JD8/jHgEK5zLHIIF+/cpTMtBVVwOrkU13bWeWvRb0B0lNOJrG7JpDHXkNO9CN8YVyb7kYm7GBfzobeDISiwqpdiGAtxul3ID6J6NqCaFt/U6Xvy/jJ42ZIaBbTAbbIfNfBVqCX2Sf8vbdkZstYAGlI1nSGONMzmzFQFMHm1TWUDANDtXNa6+btd2dJpKoIHttcTVMDqNcasVdAOl1ZyKGsS3LZIlyHhAod2uv9HDw1RiY3u7BtqfdSo3nxOB18JXGY84kJ1gbq+FTndoSAC/EJvn7lKJqikCuWGRqvbFQ+OJaiq0FFWATai39siqGEG6CYR33rbzBW7YH1t1HKZ1A/fN4sX7qKcwcwLh2m6ul/ScLmoK40jPPVP+VqTEXNJgmOXGD17b9AVF89s1leL5Es5hEIqh0ePtW1nZFMgsxU5Wh8WTdQinksVgNl1Q7k2OUFar1i3T5TIU+zgL8GriWJ3hDCasfIJFAW6V0S8QlEsYAhJN/tP8EjLeunM1qCU5FhvnDuXX5/3V2o6cUzSc7xfkqrd4Jq41vnxinrs8R/59oaLpaH6NKrID6BsfVjJC/YKJ3PglBwrn4QR/gs8VKBdm8N+ngex7oacqfHQYLiseHaUo/Ml/jKxBE+tW4v7aOXiex6kpzVidVqJ3zkBdRz70G4ESM+uXjHZiLCmEXj1dFLbA+38NnVtyOlgYHkm5ePMZZPsj3YSF7J85E7moiWMuREEQ0Fl+GgzWXH/tf/lv5P/l/84bm30ef0CaZLBb40co7Pdu9iVSFv2plUOt9DF3BIhUwxz6HJfu5pWIUQZgY/Vy7x0tBZHmxYjUPV+PnuHXyl5/C8bP/mUBNbq5rJ5tMEFsuQ62XyFgujk5XHpyJ5BhOS9eFm/v2x7wPwa9vuo8pi473oMG/0mhnxu8RKOr1V9FQoc1WEwKpaEIbBz3ft5HhkiIF0FAFUOTzsrGkDw2A8t/RCuSh1LCt3wPkPFwqidWxE81WhiBuLQLstNrqmxTjyJZ2hWJajPSP0jkwSHauiZyo1ozhrXJPNPIbBtZYmdso0qVmaGmtwhV1cyg0S8qrsaqqnIeBAVeHY1CAj2Qi7GlfzcMEHUQskylDVbO5kcgg8QfAG8VjtDKZjvD5ygYMTfZSlgUuzcnfDSrZWNVPt8GIUBa7tDWSSWXL2Moou8a0KYwiBUdZJWIO4O7Ziu7ZqwWon374VVz6zQO14BvkM5Jfu/xZO/w2da+z/f/b+O06O677yhr+3qjrnmZ6cAwaDnHMgQJBgzqRyDpYsy1mv7fXuPpv9Pu8+73od1mtblpWTJVOkKOZMAiRyzpjB5Bx7Ose6zx93IqYHBCWKktdzPh98AFR1V1VXVXfdc3/nd44b+cp3VQzE9DE4EPd96ebeD+TyqR7SOcxoCkrmT+BdDzOTI9U2Nm95pieMTGRxuAMk7voczv42ZcLTcwW6r4BhZXTznbgnK75ysBPz7Seh/SxoOmLFTtiwH6eviBKHhx+3nyI1q6qazGV4vuci91avmqfEuSGS0Zms0XkfXCrFy2wSanNCRePCsSbvIn5DJOPIhfpXw6Oq3/QdKuB9sRB/cf61OZNNGTPHE51n0DWN2yqa3zFLVnZdVPehbkCwUkkfR3pVFT40CP+KSOjV8CDfuHpozrLxdJy/ufAGX1lzGw3eonfchj7WgZyK6QJEPIzs/yrilg9CySJxercQVhtUNaNVLgUzh7iJCdBF/Orxbq7SGIqEBoDZ9n3/IIR4Gvj85P/9782hLeJ66JpGMpVj98ZKxsNJrBYdl8PC+dZhigqcDFrKOHq1g40rSrBadQSCUCTJy5cjfHCZC2lTVVA52ofsvIDsvoIorkLUr4HiaoTQsNry3xKaJjBmZdHF4mlCkRQgCHhtOB1KPmI1dPpHJuYQUIDOvjDNdQWkMjEKbC6WOzzcInQKTr6CZuaoq1lGUaCc08kINkOjOOhkPDzf0bKi2E1WtyDbTyG3PkTIX0sinsJpkfgy42gXDyKzWYyJEczZBHQK2TScfQPfuttwHH6cfGbO7mM/wayuw5Qm7eFRnu4+z8XxfjQh2FJUy22Vy/Ba7Viseap2KOJvT4ygeYsxr51B2/sRFYMx0K7C0pdvh7F+NDNHLp3BWH87YVc5kZwVqy7wx7qwZuNkkwmkt1DJpYSGrN+I9JUjBi4jei+Bp4CMxUYqmmFtQQXtkTGQkrcH2ymwO3i4bi02oZNzecDpJbL6bsLWAiyaia//PLYrb5EIVlBoeHj77BCrlgRxOiwqGkTA+ZYRdm5rJKLFIREnOlBIpm+SmEiIX5jA2L6CiXScvkyKoOYlOxbHvaMGpMRMZIkd68F9bxODiTC9qSTDez7Cs70XGElFcRlW9jZtZFPDerxtJ8gUlLDQ8DXj8lJsc/MbzTvojI7z1UsHSOQylDg87K9cxlAigsOw4rQIftp5mmuzpJ0WTedztWtxfubPeLv30hwCOhtP9lygeOlOFvYlFFhSMe6rXsFfXzrI013n5qy1aDoN3iChTJJim5vPNW8nnEmSNU38VgcaAk1qGJqmpHj53Pw0nYSZxe3N/z0M+K20RodYUjhj7vL3V9+e8xpDaPgsNh6uXcu3Wg4zmIjMWffxJVvQJFSHx+j0FbKyoBy3xYYpJTWeAgw0yicGaHsHJ227rpPruoRl16PI9nPQdVH1MDZvUaHrkTEonO+aKaVkNJamczRO91icjpEYHWMxuscSdI3FGc7jOD1b1DkFlx3qC5w0pPqoDnqpsaao7D5CtR6nSEuqambpajpu/TD//awycjoXv8a567hcicOD0Gxw1+dVfFLHeZASsXoPBKuQGgzEw3zz6qE5UvBYNs1PO88STie5v2wJkOSaT/KzXAtdsXGsms6eQD3bC2pwjPaQdVZzsXQPS4J1uC++CqkY6Zo1jNXtIG0U4hIoB9V8Tr5Wu8p5nYKvaNqNGICa5XATM/5mJgWnXppLQEHJwV/5DuYjf4Dmu4kBtD9P5czQ0F03V1kUhoat2kd2YO5Eh3NtAWLkCtYzrypH2Yolqt/L7sG877cYsFqxFdXgtTqQIz2YP/5/Zoi7mUOeewPZexXjkT9gOBGdQ0Bn443+FtYG3oWjq2FVRG+hntnrKonCsKCtvx2z5eSMK/oUlmyAmzGRmoLdpSYs8/1uuf3z9p0PF0MDcwjobDzddZ61hZUU3cAzIpfLQc9V1bfu9CEH2hCGFZZvQ/ZcVW7d/0oQy6R4sv1M3nUmktf7rlLjLrih1NscG8A89FNEnmsqDz2FWdaIVl7/nh3zvyYIISbj6xbxLwHv5kq1AjVACXCMmdH73sk/Uy65ebSHi3gvUGA3SCcyvHm8B7fTQjZnkkzl2L62nGffbGPD8hK2r6vg8Jk+4kn18C0qcLB2WQnRVA9FcnLm+J///0qOBchrp5BHnkF76HehZgUIQVNNgKvXRaSsbgpOF/MGR2L87I1rhCerpn6PjXtvaaC40Ildt9PZm7/PsW8kwiq/hd+oXkXBhbdxnXltel1pywluq13J+m0P0BUPUVhpQe8Q5GaZzNhtBlXlHjyaJFXaxMkRK8cPjiKlIsnblhSwqnkXlnQCOds1VgiVxzkpsZTtZ/Gs3I0IzZWOTiMexpaM0h4e5X+ce2WatJhScmionbNjfXxl9T4KUsOsrHZyvmvuqHZzoxvf2afQ93wIqpuRr/1AZdttuAMSEeTJF6F8CVIKzNJ6rgzneOXoKJmsIgtN1WXsLEni9DsJuzwEVu0lF1xL9HyKbHsKa+VtuG+5Bd0SJ2RzssReyKqkn8yFYZDwyKrbuGCf4LsdJ/jj1XeQKiinc9eXeP5slGQ6BwiqijZz2y1NZAu9WHMWVjcFOXVpaHJiQRn1bF9bQSqRo6jIhVm0hNSh+QONZI9JxWo/MUsao8SBPD9E9OBkBIom8N3dxJORq5Q7fcSyKX7YPUPcYtk0T/edp8NXxmNLNzOUSbIi3yDc5iBSUEqNp5AftZ2kPTrCUl8JbouNgXiY77Qe5cGa1QRsHn7aNZeAgprx//v2k/zBylu5MDFfaj6FvniYtMwhi6oQw93zX1CznKjVSmdokN9o3sGTHWcZSqprVu8u5MHqlTzRdZ47q5bzlxdez1tpebh2DXuD9YiNdyLf/NG89WLFDgTgKTBw2o3p7zGoe3xZUwFPjLRjFTqrPUHORuZfk/vKllAiBD9oP8+nm7YxmowxmorhMqyUOD1cGOmn3A3jgWIODrRwbHhuZE2zr4RHa1ZRphlYNV0ZGV0Hi6Yj0klsV48jxwegailiw35IJ5GXj5COTtBhlHAq0U9fKEXHSIyusTido3F6xhMkMu/sTGrFpFKPUW1JEGxeid2WJWyLUuTRuTVYQVNJMUUFAXIdF+Gpv1bfbyuTRG5yI5FRSq1O6jyFtOfpXzWERp2nEBhXUtirx6bXydaT0LgebfO99MbG8/YiA7wx0MKWYBVjeoavds28P23meHG0hQuxIb5UtQy3TYI7wPfPp1i9/DM4LNA6ksUyYGFXuUHOXoy+9lbksfkGXmLd7cjs5L1gWBG3fAj58reVSdGaWxFr9iIc71yBFKFhzCvH8q8MDSHGBhXBfQcYxS6s9QHlSO3S0YeSuNaUoRe73vG9oAaK9pUlJC6PYE5ONlrKXTgdbcgnH59+nRzpURMbW+5Be/HrlH3gjzEmnUNl+7n8leOxfuRwd16zqylEMkmyufyqn7zH63AjttyHfP5r81cGKyGQh1SW1qE99hXMN388aeRjR2zYj1i5U0Wr3Cz8JYg1e5Cn55uAie0PI26iqnp+LL+6AyaVPpnkDUmoruuYy7aq/Op+NaEjAa4eQ6zchSx4H9x5f00QzaamJc35cDk0SCybxmddWDUmElHEUP4ILtIJxA28JBaxiP+T8G5I6EngNmCLlLJPCPEz4H7ml5L+4j06tkVcB4dFZ1fQTbSpiHA2h6EJrFadc1dHiMYz+Dw2nj/YTjozM7s2PJag1RindqkfdAPz0JPTBHQaZg7zxW+hffhP0TQdm1Vn25pyOnonEJqgrsLH8FgcXdeIxtM89fo1IrP61UKRFE+/cY0P3tWMzWrgdlrymii5XBa+1XORnDTZU9lIk9ND4NDPmLqFbB3nKV61m7/pPotpSh7YsZ6R3jQT42kKi+24iyGsRXFrbrqzPo61zBAK05S8dSVK0VofVYYJ5FTVce1eMKUiNg63qnSM9qkw6AXc1ECgGxae6jyXt2oWy6Y4PtzF3dkM28w2Kleu5HS/xNBgbZmgou8tRHyCrGGgD3YittyLPP0Ksu2Mkowt2QC+InJIxjJWnj8x92F0tWuCQk8J630pbNksZsNexp/sgMke2VRblOy4Hf++SiyYrE34mXhqRpyQujbGsnuW8PGGLbgsFjozNl49OTrHNbZ7OMEhdymFZYJKXeNq5/g0AQUlvz54spe799YSz6bBbkdz2zCvq1IZHg1TmkTTKWIJDfeeOmQsjUzn0P12kqNRtpTWUuzy8JP203nONZyf6GdfcS0/Ge3Ef+dnKJoYY6SmGaSkuPMiff4iBnQDayqKz2bnwcI1nB/vozs6TpU7wLaSet4euMYSXwknR3vy7sOUkpbwMKUOL2PX3/+TsGg6mtCQt3wQ8bO/mYlVAHB6yW25F6npDCQivNB7iS1FtWyx1aIhyJo5LoZH+PSSLbzSf3VBqd8LPZdY6iuhKpdVxjLHnlPVFd1ArNwFlUspNpxEybJxRSnjkSQDwzH8XjtVpR4moiluLW8iGEnwoXicJcX1vBkeQqLMhu6tWMoyoeMc7GJ/3Uq+1XKEvvgEQYuTiUwcNJ1PN22lJGdyOD4xj4ACXJ4Y5HSoiLs8xXyudAl/138Fc5acXEPw2ZJGIhnBACX0JnW6L0u6LgzQlXPSldtKv+lAPpNAPTYWRsBpoTLgpLrASU2hk9qgi+oCJ9XpAYqe+XOmfdDGT2Nu+jCmbzlIiR5wYRSofkzNYsGsWILYdJeqyKQTqp8wl0WOdIMwuK96FT9qO8nALOdim2bwiSVblJwyPDqHgE6j9SQs3UynZeFHpSklSdPkn3rP513fm5ygPZehJq1yhTetKKW9d4J0JkdNeYBcLkc8lSPgcsKSjQgpFeHIphXhXLcPGtYgrhyB3R9AlDdCQSnisa+oyTVv4c0bb0jzxnEFcuHJARmbUM8KoaFH+vCuiJCyuThsphhoyLK9xKD6XYS0WQqdFHxoFdnROJgSqyuG/Ke/nf/CZBSGu8FTgNZ+flr2KjsvLLzx0BBBh5O2/F0dCMCivbtqiahdCZvvUd/ZqedCsArt7s/njdQQmg6VS9Ee/n2IR9Tzxlv4jrLXedsxDGV+pBvqvshllXx6x4OIhjU3tY1C240nB6w3dS7ENAGdDXn+AFrTpps6jpuFDI9CaHISwV+E8Bbe+A3vIyxCx64bJBeosnssNizvYHgldV1VsBeqrNtusrF6EYv4F4538yv8/wO+A0w9wT4FfB24D9CBEPBnUso8U4WLeC+ge2yY5R7ePtHNyEQKIaChyk9FsZvugQixRGYOAZ1C71CU3IoyRCq2QNg0EBmF8AgFBTWMhhJcbh+jstSDlJIjZ/toqPbj99gYHI3NIaBTCEVShMJJKko8bF1Tzs9en/uwMnSNjCtNW6+q3HwrOkaD08dntt1H4NBT068TLSdwlVbRHRvnW71vUeUKEAy4aUlMMNgb5jaaCRbVc7ojvxT2/LCgwp0DTwB98z0qo232w6JqKWLLPaSR2JduQV7MY/hQtwoTweWJBSqlwJHhdvbXbcD55o9YmnydxsrlYGbRD1xSMrlbP0Y3OlWlDegnX1A9oBYrIJDt55Djg3QvWU+oP/9D6FTrKMuL/Fgi4+QG5DQBnUJuPIk5OIbdZRA/On/WNHm8D9/tJYo8pPS8sSVXOsa5v7mOeCZN7+D8/j9TSqKJNBE9Srkm8dxbx4TdTjiaRtcEXpcVe2icATOrzGO6QoSOzzfj8H1kGTkpb5jX2Bkd4zMNG0gKjR/JLCdbjqAJ2BCsYWtRNfW6jXMT/Vg1g590nJ5+30AizInhLh6pW0c4nbihI2xvbJw9pUu4uEAFfHdJAw7N4AWZ5faHfh8Rz0LKRNgtmC6dJyLD1FssHJ3Ms3xzYK7o49bypWhotIQXrrbGsmkimRSivBF57k3EbZ9QJMiwIFtPIyxWsrkMA/1JzlwepshjY/O6cuLJLK8e6aLAZ+eOvVVkooNongCbHT52ToyhRcfJlNSSlWC88UMS9Ws5SI4mXzFbi+tIm1kMTUdKybNd5ylduoM3rry94HG+3t/CKl8ZdtPLvkwVJ8Np2ibSpGMa0ajkE+FBIpkBoGHyT37omqDC76AqoOJMagoV2awucFFV4MCzgAuk7Asx3fqp6SQf/gMcmSR6qA2EDplixiMQ8ARI+ILY1+5FPvlXcw2lapYjdjzMYDqKIyn4TdsahtwpQloaBzrFUYPilJceW2YmczMfui5SsXr3wuuBlJll4gY998fHB6gqqeDMlWE0TVBZ4sHltHDmyhCpdI7iQheERzFf/S5iz0cRDWvVZKHNhUSHN38E+z+F7i+Z2aj95qqOsyF9QahfBfmeA+4A0l8yz9xIhkeRV44pBUc6CXVroKIB8faT2FMJ9jSuo33Vbv77uZf50vJbWFVw8zJXw2efjmWR17oW7H2UnRcQjeuRHeeQm+5ECIEoqUUu1KfpDrDZV8jRkfzVpjWBcvzvQMyuh3B6YOv9iObNylHY6lCTAe8QfSbsrp/rWs3ZhqcAdj6iniOpJDjcCP87V6ynsLm4hoOD+bOFl/tLKX6HKrqUEplvkmZqfXjkPQmJl9KEzkuYz39tpl3B6UW787Pq+3yTPea/TARsTvZVNPNMV/5Jp9srl+E0bixLl4WViNV7kPki3CqXYvqKF3NXF/GvAjdNQqWU48D4rP+HgIeFEA5UH+iQlDeYRl3EL4xQOMmTB9snJZVq7NraFUIIQXmxm2TqBrPYyTjSF1COiguZHGgaDruFO3bWca17HJfdggTqKn00VPqxWvR8LZTTSE9K7KrLvNy9u54DJ3qIxNKUFTmpb/bwz0NzH2LX4hNcLW5gi9UxI6vSLXOqj92xcbpjMyQrkk6SkzKv86g6J4Ik4DBzyKM/Uw9tl2965lpePAxjA5guH3gCUL1sruFEaR2iYgk5M4dALLgfXWh06TqV+z+F7cVvordNVXwEcvUtXPUHcVsNDvn8bK9ZgTZLYicLyhm99aP0ZBK4WWBwIiUg1Gy6WMBAQwNd08lM3g/GymJyDQFEMoc4P4SZzTGeSpKbrHx4XVYqStykMjk6e8OYUjKSiuG3OBBinncSADEzjSYE0ldC33iOF19pJTEpEQ0GHNy2tZqh5CBOzUpGl+rBqQmEriEzORDQkwjhcquH8v2Vq1gSKCGWTWHXLUTTSb529W0MTZAUGn976U2VozmJAwOtnBrt5ndW7MVjtXG4vX3eMZpInu+5yGeXbr/hNaty+ikWNlZ4y7kQnitPK7V72eitIIfJG/0trPRvwPnGGGY4heaykNxdirTCq31X818L4PBQGw/XrMFjLDyLLQCbbsC102riJzIGuYyqkGsa8tXvY3/kK5BJ8+ADtYykIxybuIZu0dhzdzF+3YltoI1oWTVGeAzvT/7n9PfZAuQKSons+xhjTh9vXXpjuoJ5/XlJmVkmMgmyGYhPOs0mrvv7iZ8eZf7cxfzfDo8hqSE0E2vikAS27aa0upzVFWUYeSJNMrkMvfEw/cksHsNOcSqBiIyqgafTg/QWYQYr0UZ6SH/03+O4dgZ56KczFSiLDd/+TxEqb8QbDSFf+MZ8R+POi1C1jGj9apZkXUw8f4FioHiqcQTIbjeILhGg32DQqFsocSwcp+G22LDpN45UsCDRJ8u6pinp6p/bsqBrApEYV7LNH/7XvHewFhlXJmY3CZlKqAk4h2t68K7ZnMhNd2P2tc11aNV0xN4Po10nq5TxCObL34aOWQPuq0eRXRcQm+9BHvhnaD1FrdNLU7CUb189zJ+uvZOA3YnMZZVDbGRMVX3eibDdaOBudUAmhQhWTlcSxZL1SkJ9/eSW3YUorqYmHmFPST2vD87NGw1YHdxfXI/rXVYkYbIqGaxUf95nCN14d72ks1DlKuDuqpU82z2XOPmtDh6tX/+O968Q4sbX573qwRvpwXzyL+eOUeJhzCf/Cu0j/w6Kq9+b/fwCEEKwrbieC2N9dETnmmutK6ximf+dpcm6xYK5dJNyp752emZFURXarkfe1QTDIhbxLxm/8C+HlDIBLDwFvIj3DKOh5DQBnY3WrnG2rSlHSolhaGSvq5pVFDnw5sIggrBsK+Szew9WwKQ7ZTqdJRrLcPTcILomWLUkSDKVxeu24XJacDstRONzTQ68Luv0gNVm1Sn029m0sgSn2+D10CW+2XdmjqRvCq/HxlhXuxLr5CyrXLKB0f4FZreBMpePiDRZXeelf3i+rHJFkUnSZseey6kenmPPz9j8G1bExjuQw93kmjeTG+lFszkRux5VREC3wEgvZuspsk2bWV9QwYmx/PLO7SX1nBzr42+H2vny7Z+gPBlDy6RIu/y8lIzwQvc5vuQJ8NORTi6XVfHI0j/ElYiRtVo5kkvxk67T/G5JI65ZBjOzsaahALtI02+xUGGEEA4DmZgho5ZyJ5o1yYAQlK4pIVzs5kT7KO3He3DaDTauL8VilaRyadLWDNvXlhNPZujoDeOwGexYX0Esleat0as8XLeW+mof1zrnuuhaDI2kkaTa4SOREDx7oH1ObM7IeIIDJ3tp3ODgxEg3O0vLqNxehRACmcmhOa0kMmlejLRwf3A1f7hqH2dGe/irC6+RMXMIYFVBBX+85nacuoXnei7OIaBTiGZSXBjvJZunmjuFSCZJKpdhY2Elx0bn93PqQqPZ7sU/2st6Ucvq8ipakwNkpEmjowRr3ErBYC+mdxkPB5bheK4Xc1JVYMYyWF/oYfsjtZwe75237SnEsxmGB9vYVFzD6QXumxWBcgoMB2TTiECpkhkGSmBiBDk+gFh/G/pIN/Wra/hR23HaZvUxvt5/lbWFldxdtQJ3PIzv1e/Nm1DSxwawXDtDYsUOTCmREpLJmUiTREwjntD44slzdI3ZSabeWfalISnT4pO5mXGq9aginHd9gLKclUydD1t8XElhLVZkoIRcNktJpA9NVxFEZngcMd4PZo6UJ8CL0TFe7L2ERQj+R91G5PHnkS0nZnZauwp9/6fIvfUTbBMjyLefmHtQmRTyua/hffQrEB3LH+2DkgpW1q+eO3l23b/DmQRUNcGJPFUJgOrlFNpc3Fm5nOd7Ls49N0Lw4YaNVLh8lNg9DCbz6z83F1aSNSXVZR66+ue+xm5VLRBkb1THBxaoNcnwqCJ7ZhZ8RUibG3ouIU+8AImokv8v344IVioCTBGFd34Jx3Aror8NAqVQtwrKG+dvfLRvLgGdQjKmyKW3EMKjiAtv8egDX+a/dp9jMBnGL3PIM68jD/9s5h4tqkK76/OIhWKpAqULGnaJpo3IM6+hPfi7MwuLaxD3fxn5yrdVRAtAsAJt/6cR/mI8qRj3+itY5y3m5MQQ0WyKVb4S6i02gpkUWPPHOf2fCKfFyv7KZrYW1VIQHUdIScRuJ2NzUfwOldwpiOXbkNdO5VuDKHpvSLnsvpJ/ktzMIXuuIH4NSChAkcPNF5fvojM6zpnRHixCZ22wkkqXH+8NekFnQyupJbf7A2ir9yipu92p+n9vENu2iEX8n4YbklAhxM/1jZdSLtBxvYhfBOmMIiEWQ6Ok0EUmm2NwND5dwTpzZZg9myo5eKJ3mqwW+uzsWenHlh4CM4vYdA8T/iIGfEHCQsMpJWWRcQqqlyEcbkLhJG+d7uGWpW52ldpBCAazcPzCIHs3V2IxdLauLufw2b5pIup2Wti0qpTRUIKGKj9jEwl++morO5YFKLXDJpeHgaSX3sT8qJCUmSM3GfIt1t+OXlbPnYbG6/1XebRuPZbJXicJOHQL4XSSiUycYIGFtQ1eTl9TAxYhYHODG79HclGDbRIV+j47ZiKbRh7+GWLvR3AhiK6+G89LfwuzB78ON8m7fhvTNLmzpI6LE4MkrnMVLLG5We7083y0jXg2zQ9HOtjnDmIzDHqSYd4YV1W2nCn5cNFqnhq/TFwXOJ1OsrrOlfFRtnqLKW8/j7a6jNs3lPDqqaFpE6b6cg8rgjmkpoOmoXt0ArcFSHSaZAZi2Bv9WL0T6E4XWSkJV3t55o326euRzuR4+UgXuzdWUFhpYUjG6OwIMxJS0t9QJEX/SIw9WyvpHw9j0TRWNAbJpM3pAbLHZWXrmjJMTwYhYTycwjQla2tdVHlymGhcGJJ0DEbZYCkklctQUVBASIYZcabJyBx+qRE03YwPJyjQHTzTd3E6r2/qmp4d62UwEeGzS7dxYiSPGdAkroaGqHAFcBk2dpc1YNMt5EwTi6YzkAhzaLCNrGlya/lSwukkVyIzpiQ2zeBzjZvxSguGVWdZYohXrrixZv3YhaAvl2L/kixukSGZlTRIL2bmOhMbU+KJa9R6Cjk92XdqCI1ih4e0mWUkGaPI5sKRTlLsCbK7tJH1gQpcNjsm4BAGX7v8JndXrcCTSyMLypST24WDcPmo6ntasQM5MYxYsZvTfZfmENApnB7todlfysZ0Tsk1g5Uk6tbTnRB0jSXo6uim661xrl1p58yQm3hCQ5rzycsAcydwdF3idJk4HCZOp8neuhpqLSl2Hv8RgVVrGateQkwIXFJS0tuK8/xBRJEV8/CzjDV8gkKnR5XSdQsZm4dsxxFwq9gIs+cK5qvfQ4woAm/xFHLnLR+gy13IF2rXwYkX5n4HATrOgd1F7p4vob96XQD59DXJqYgI6w1MXjJpbBIGrEl89QHSbbOk65rAUunFa9OQFqcyi7pOHifW3470FeKx2dlb3kStp5DDQ+2MpWLUegrZGKymwRtEC43y4cqV/PW1I/P6yFd4S6gyJRPpLLXlPnI5Se9kRq3PbWXDilLiiSz4/Mia5QzsfowBKYllU7gtNsqFTslAB3K4G9lyHEpqEeWNiECJym58+m9niJthQWx7UJGFgQ4A5PEXkOcPoj32R4xZCvnpq9fImRK/p5qyomWMTSSxXRLcVya4npbJ8Px7cHrdQDsUVqh+2lwWx6TiIidNZNcl9fs7G8PdmM/8Hdqj/x+Ea35lWXgL0e77LVUJm923Xb9GVUF3PYo0rMq5WAhl8tZ2BtG0WQ3ghYDQMDI6DmYNUoLziT9nia+IpuVblQro8jHkxbcRd37210La+W5gmiaM9iJSCaTDjZbHefpGsI30UnT1OPLcm5BJ4a1bhbb+dqhqvrkN2F3QtHFe7IzYei8yl3tP5LjzXJtnI3SDdb8CBGwuAjYXawt/fgKuB0ogMF8Cv4hF/GvBO1VCO7ihADMv5E1s94YQQlQB3wZKUT2oX5VS/qUQogD4J1Q2aQfwgUmZMEKIfwN8FqUX+x0p5QuTyzcA3wQcwLPA70qZT3j46w+H3cKapUU47RZ6BiN4XFaW1RcyNBajusxLddCC3yapXqszkQAdE3+qB2cqQ6KghNZBE3tA8ENDo294hgx4LXa+5HBTB8QTGR5skpgHvz1tQlBSvYw7t97PwHiS0hIPoUiSpbUF2CfjXBKpLG8e7+HBfY2kslki4Sj7t1ZxpXOCc10hakoL+Y3SUq7GOvne0Nw+uk3+MjRcpB7cjhaswO5ws8JXRoO3iLFQktHBDNHxLMvW+ni86xTdsXH2ljcxkYjy8fo6VlYWE09kcVrBT5Qxh5OUmcGMTqAtkHMoOy8SbVxHJOCm9dYPURELY4+MknIH6Hf7cfu8lBl2Kk+8xleKKzmG5EhkBF3T2OMJsjoew9LTwsqSSpbrVtZ2XsZx8CnIZVnpK2LT1nv5YTqG32qnJG2ywVGAfO4fITqOzbDyxVW7MevXkgiNog+3saywgrL1FqKmFZsO/vFWbJYGMqODVBSUgi+IcfU4rtGr4C9AdIwiVu5EuhuoNSUtE8l5lWmA4+cHuaekFr/p5kQoNG/90dMD7N+0guFIgrcODFFZ4mHHugqklCRSWd441sNdu6owrBmkLvjwOguBUz9GG+4EIaipW0f/+n1YsfKB2rW0Rcf5+sixOaY8a/xl/HbTTkazCQ7PIqCzMZgIM5iIoKGRT+4JSpZ9S3kTRQ43T3WeJTZLelntDvBI3ToKrE7aoiMUu7zsKq0nmc1gaBopKXmu7wqfbtrG0dgw2wq93JfsZMLix5QCb24Cp6uULqMAzBQOa/5uHNMCOwrqOT3aw0PBatZkJYFsipxmZzBYTMbhxmNx8kLvBbZVNHN8uIu3Bq+RymVp9BZxf/16rBJGZJYyQL7+g5mNh4aQbz2B2HQX3ekobw60zNyvEtIpMS2b/cv2Fkq1IoYzD9DVCsMXp47XDSxT/4xE4LquIrvdxOFUf26trUFYU9QVuTgauoKpZxBCmTPdXbWSJm8Rp3qv4Hjo4xzUdGwWKxmZwyJ0LjSsYWPdSordftL7P0ZwsAPzrZ8gxvpB07E0bcSy7jYiTi/eoS7kU3+DmF2pjIyiP/tVPvvAb6NHx5HnD+Q93/LKUYzdjyHzRdlMIRVHllQv2GYglqxHOH20jvewc2slRoGD1NVRNK8N15ZKjuiD1NmKEf1tyFwace9vwli/OumF5cjeVkRoGIqq8NucrLM5WVlQRiqXw6lb0CYnyUwkDdfO8vsV23k72s2F+JCKIHLXsszpwSsy5OxW3jzeQ8Dn4NZNFVQ5ElgjQ6SjLTjLKoi7g/Tv+xjfuHqY0ZQ6X1ZN59+UNCJf/d4cubF0etEe+G3MJ/4SMrP6yrMZ5IEfI275ILJv1m9tMoa8dJhow23Tk12hSGqOGVkkmsIWmEvohc2x8ADA5Yf4xPS/+5BYNJ1Cw4488gz4gohl25QJnKYj+9vg2hkY74c8JBRAVDSiffTfw2gfMh4Bmx2ZSSvH27efhFQc8ehXoLxRVc3OvTH/+C4fRnzsP8D4IGLDfuRAO/LVHyjZbkEZYvejyLYz5MqXoLtvnK/5fkKaOVXRlRJcfiX9nYQ51g8XDyFPvYLMJMHpxdx6PzSuQ7sJd1xzpFf93vTN6gu9dhqz+wraA7+NqFr6zsc3OgRrbkVUNkNoSElwAyXIwgrE+ACUvQeRImUNcCpPtBpA+cK954tYxCL+ZeImLdHed2SBP5RSnhRCeIATQoiXUGZIr0gp/28hxJ8AfwL8sRBiOfAhYAVQDrwshGia7FH9W+A3gMMoEnonMN8D/18ALIYgEktx5srMjGBrV4j922vQNUGBNY14+Vtkg5XkSutIARapYT/wYxy3foTKwlL+d+dR+uJzK5LhTJK/uvA6/37tHZRm+pFP/S/EbNe2rkvI0T5K7vsymuZl1ZIinn7zGqPjSQxDI53JsW1NGUUFTibSMdAsPDE52w7QMxjhgsfGPRsr2eCLcGJCmdc4DSsFsohvtGik0jHWNYfYsd6F0GB8NMXxt0bJZE2WNPh4ZuDsdG/okaF2/kP5cmz/9F+xBSsJVi9Tg9GWEwT8xWy8+/OkxgbVzW13KZMPw4rsbVHB2pExdOCbrUcYSkTQhMChW0lGh8lFBvGOdPKHq/fhHO2l7OSL3FtQxt6aFWhmFtfJNyAWIrL9QRptXrwXnsbSfk71yxgWtIlhil74Bp958LdJGFYcWjvy+W/MnMtsGk69jJaIYqy6BasA+dO/IpCIEJh1TeRpJ5b7v4zpLYKjP1MmNgCo/iY52I7Y/2ky5ctJp/LlKqLiPUwNMvm/wvFkluXOINfiE6TSOa51h7jWHZrzmlQ0QWVxKTLWheWVv5kxeZISS9tJKsd6SVT8NkNp+PuWw5jXDQnPhPoJ2BzUeotvOJvVEwuxu6yBl3ov512/vqgar8XO16+8PS8ypCs6jsOwssFfxjPd54lnMxwYmG/CkTKzNFitmM//I9bIGLO7bqRhpfD+32JQ5ngl3s7eOi+ifRb5KXFyNDvIMr2c/9i4haw0aTVzXIoM49AtrPIWUZnJkhGwpXwZX796iKFZ+Zwt4WFaL7zJbzTvoEJ3IK/LsE1JjZ6ck67D5zmdbuZEi04ibpmW0ZrzqpnDzCOZZKnSY9SUBUl4dVaVF3E2eg1hS+FwmOiTL3+4di2VDg9/dekA95Rt5e6l+/HHJ5RJrN3DtcgoaZnDtDlpc/uwxpLskKWIWBbpMjgo+2h3uXEYdvwjXcin/3Ym787MIS8fQY4P4Nn/GeRgZ36prJnD2nlByUCv7+WcvigmIjSEqF21sAFNQSlmIoG+/UHkwcfnrnP5YOlmLFYrKzxBzqXGCdcn2dDcQJgUJzJ9LPWVUYWG7LkCp19V5lBNm0AIFaETHlUy1yXrpzdr0Yx5zqrS5cOobqJBz1DvLyNrWsDqAmshxlgLXDpI4PbPsHNDJcfP9FKT6Mf70ncgl8UJIDTMvR/mdV1ME1CAfYEKit58fP45iocxjz4LpXXQPf/cyL5WKK6BoRn3Y9lyDHfjwgZLeV1bgxWqApbnGorKJuQb/wRAbseDfHuojfurV1OkaeAvRhSWI0++NOMAWtWM2P3Ywo6gU9v1FyMNK/IHf6b6ppk7E26++WMlw80TWaIOJosc6webQ1W2Z8ctjfUjX/8nxL6PQTb/7+avAnKsH3nqVeT5NxUJbd6CtvFORLACM5NW9+bszxsPI1/9ruoTXbXrnXcwPjiXgE4hnVDV5HcgoblcDlFQjHziL5DZtLoncjk1AeINwr1ffJefOD9EaT3SVzS/IuoLIkoXczMXsYj3GzJ2g0ng9wA3Q0Jn//6/L4RUStkP9E/+OyKEuARUAA8AeyZf9i3gdeCPJ5f/UEqZAtqFEK3AZiFEB+CVUh4CEEJ8G3iQf6EkNJHK0dYz/4Y4eLKXe26p58IoFO76PCO5NJFoBqEJuh0pjN0Ps260F3tB+YL5VvFsmkxOKpfIfIOE2ARipJtQYSkJI8OujRWEIxmklHg9NpJGgkgugUhLjl0YnJPvCWrWfSAq2OPwc3JikJX+Cja66jlxeITUpKHRqctDLG8sJCQTDHYlp/sP/aUGbf0zeYilNje2K8cQt3wABtqRlw6BzYlYeyuWeATn+ChRlx+xZi/YnMirx1X2Vs0KWLGDSCLMQDoxTRLMSenbFMKZJH2xEMXVzcjOC2hj/XjG+ud8HhkoRQsNkC1pYnjrpxmPpBECAh4bwdM/wX7iZYx9H8M8+nT+L83lI1jX7oWhLkhE5q9PxWGgHQ2Q+Xp4AfPI07gfqMPnzS9HLCl0YtE0PNb8X1u/24onFaLYquN2Wkinc6xfW4TToxOP5Dh5ehhvehwt4SDXeixvnI0WGsQVDXEhm5hHQKdwYKiDpnw5erPgNCw0eoo5MHBtXqi6y7CyLVhHR3Q0b2YlwJXQIP3peN6e0untaAae8BgiMjZ/ZTaNo/synuIq3hhvx7u8mZX1ZdiG0qSDVlrdcZ4aPsfy8kpSdhdfbTkyhywcHGxje3Ed95UspT06NIeAghpXptLwDyfPsMXXTKi3gG73OrpFgK5whoH4rHP3UifME0YqWG0mQa/B+tJC6q+9SZUem+zRjFOkJRECCDby1No9nIx28J837SCWTRNNp7AZBj6LnWvhYTQEf7RqH9WJONrp1+DC2yBzFDVtprBpA8OGjWWBUoZDIXaFAkRev6SijjTBzltqOSZCuF1ZJe3L43osBjthYmiukUhhuZqsGe1VDtJj/apH3VM4TTbmwOHGtNjQyhvBF1Q9p7NRs4K0N4g1m0bGwoh7voC8egJiIUTNciiqhs6LGL4iSr757ygJVjL8wJcJSxNd2Nh3vh3++X8iP/jHgIbYdr+qGF49piSfzVuQ1c2KIE6MKEfS8UFFcJBgtSOsTjAscOIFZMtJdS6qlmJZsgn56negrF65uPa1MmQ6eeVwG4+udeD92TfnOoFJE+3V73Hr3Z9jtthxCQItNN9xGoBrpxHb70fmIaHEJlQk1Zzz6cXmcmAxNDJZk4YyJ2VeQSgBac2K1z3feEb4i9Ee+l3Mp/9O9YCC6q3ffA/y2mlkUTXm5rt4yszwSN1aVhdUKCOzmuXIV747d2Pdl5HpJNz2iXceSETG8t8TAH2tiFhIkaGFMPU7kS/v18xBzxVy9av5dRDkyvAI5pN/DbOv88W3MTvOo33wjxHJOObZN/K/9/DPMKua0d7JyOYGuZOy9yq5eBjdubD5lq7rmO1nZyZDZk9KhEeUwU5p3Y2P4SYg/EVoD/2u6ic+96Zatmo3Ys2eRbOeRSzifYQcH0RePYY88/ovdT83K5sVqOrkk8Azv7SjybdjIWqBdcARoGSSoCKl7BdCFE++rAJV6ZxCz+SyzOS/r1/+LxKzg+uvXx5LZDnTOk5TTQGHzswQJqtFY9PWEk77Nba+Qzi3zTBU5WIhjA2SNXOEBjO8+FbndOyHrglu3VpNZ3acapuPobH8PlVD40l213j409V3cvjIEG/3zx9cJVIZsppkbHRWZqU2l3hU2hzYSmpV5WOqdygeRh55WoXLyxxJlxcZGYczr02/T146BO3nsN33JcZuEKcAqCzJ8qa8RhmZkloyBaXYUyk6izfz4kst0+NJQxfcvfsB6k79AJFJIUYnXVhL6lQ1ZaQPLh8CJEKiKrOg3Dk37AdNwFT1YLhbzTJPDajKl0BhGfS2wFg/YmIY0kn6zSRNNQGuds4MNAxdY+uaMp54pZUP3FJBfaWPtp6ZCrgQsGtjJa6zP8C7ajd37CiiT0vxev9FhnojFNs97L2tCVtojHQqir1/rsPk3BOSouMG4d05aRKwOvFa7IQz+asgNe4C3JqNLy3fzduDbZwY6UJDsLGomm0ldRTqdo5NDnwaPUXsKW9C1wTRTIqfdZ4jnEmSuAEBBXh5sJVHJnvcYl/4n4zm0kgp8eg2Cn70nxCDnbiEKhf+bPQyz2s6gaCTiVSCVCKLW7diFYKf9V+dQ0CncHCgnU3eZp4810XXsHW6ijnlOJvLqaH3c1wFlkMMYO530qpBqd9OgddgTI7icJqqV9Op+jUtBnxp+S00D3WhD06Sj+U7lKnL1WMw3AXDPax3+CgLlJBKZSnMeLDGbRgWjVE9TKOvGENKylJJxCvfhaGO6f3Lky/CtVME7/4N+g2dbUYZ4VdnmfGYkuhr7Wx5bDlGOoEczm/ABEA8QqqiCeu2+xEWOwx1ItNJpUxIxsFiJZWIY9n+IOKFf5z//q33M+T0UtR9EeP2T0PXRTWhZFgQK3ZAQRkyFlLbOvUS8hSwYgf4lygyeugpcAdgyQYQGpg5tEwam2HBnclAYQVi892QSUPzZuRov4r+WHsrODyq2nPyZZVHaVgRq29BOtzIg08AUq2/9zeRz/z9jPkZQPcV5FAXYtPd6jfK4YaSWpKpHKm0iTZ4Lb8VNVDUe40ir5fhZP5WgpuFKKtHXj4yd9mG/Xh8Hh67vRF9uAPvpRcxWtswvUWILfeg51JgzJ/QEmUNaB/+t6qalsuAL4hpWBFL1pEybIwbBrcZVvw29V4zGkKeP5j/wAY7VGbmO+FGbqtCU/fAyl1Kpjz/BUhfMWJk4XtTDnUxnE5S/oslp7wnkIOdcwnoFOJhZM9VhNO7sKN9ZHRS6v4OBM12A7McT6FyL74Bcrmcunagrk1RlZqUHO4BJETn+z38vBAFZXDLBxAb9qsFbr9yiV/EIhbxvkBOjGI+9TdqwviXjHcioeeAVZP/1oFHgJXAXwDfmqw8/tIghHADjwO/J6UM3yDkOd8KeYPl+fb1GyjZLtXVvzwHtmg8zdhEkmzOxOexEfDY0bSbKzC7HPkvl91m4LQbbF9bwdNvzJXcpDMmF86E8KwQjL2DDXvazCCKKhdwwAP8RaQTklcPd8/JncyZkgMnerhtVzWaAUG/nZ48uZNBv424TDEei9M/mN/N0mG1YCAIBGyMh9XtZZhzH0BJNORo91zziim0nkRbtZv0xDC0nZ6/PhlFdl/Cv/TG4dpuix2GehCb7oLBDuS10yo+ZvVuLpXVMZGOs8RSziuvt8wZT2ZzklcOd/HQno/iN5LIyqVoW+5VFdueq2o298HfQ7adQpBDBsoQ93xRyRhbTwIScetHwOJAjvcjnG6oWo5Yd6uqJIwPIpZuhqIq1XdlsfG9a2/yhSW7Wdm0hIlICqtFx+uy8tqxLhLJLOGMBZfDwo51FQyMxHDYDYJ+BxevjVK8+i6cXhevhfrnOH92REf5xtVD3FW5nL12D/FgJc48QeXqAlmpcfoXzN/UEDiRfKRxE1+7/Na8vNCHatdQYUoGUilee6OfO29p4tbyJnU+I/DKiz08cmcDhXYXv9G8g87oGN9tPUoyl6HY7uH+mtUMJyPYDQvFdg9DyQh3VSxnZ1kDE+kk//3sSwA0eIIIV5Bry7byWtdZTo10YyJp8hVz54N/SJVmw2GZGYxlzNyciuZjDRvoiyV541o/0VlS2am/kwnBS89NZW8uPOjzOgzq7FmqXFBjS1NpjlETcFJdVkBxZowLy5dR6PBxNTLMz7rOTYeieyw2Hqlbh1uzgs0J6+9AVC+FtrPI3qsqv/CWx5DHnsfjcCOEi/a2KC9cnukv9XtsrNpoUB30YulvR84ioFMQE8Nogx34alcjw/knrmQ4TbbQhV5Yln8ADWB3YR3sRKRTyFlZwLLtDBRXI279GMMWC0fjo9x/zxfRjj2HGO1FBkqRG+/kJV2wXhPoV46Br0gZ8ux8SP2Cp+LIc29gKW8EV0BFV/hLVAUtGUcsWa8mfZw+GB/AfPB3kJk0hUOdiPbz6nMHSmHpZtVbeOplxMqdkMsh4xOIxg3I5782owrJpJAnXoTSesSq3chzb0AqoQbm4ZH5nz2VUAoHpxd55Rhi673YrDpOu46WZwJjCpZEFHugcPr/LZg0+UvyV0OXrEem8kzqOL2qXzM2RQwEYsMdiEkDmpJkH+aLfzVNhLVkDH72N8hbPwZr9uSV5Qq3H2b1Hk79Ijsn/8xBOnFjg5mbIdi+Iqhogt48kUjLtoInqGTawcqZibypY93xEKKwjJGJIQoW2LwsqkJYbpzl+L5haGFDNtlzFbFmz8LRam4/0up458pyoExNhuTxSRDLt6G9Q66lruuYRVVKnu30IQfaQLcglm1VbS4L9Pj+vBCarpyXF7GIm4TMZGC4E3n1ODI0hGhYi6hcigjcfKzVIhTkYPv7QkDhHUiolHKNEOI24A+B/ShStxTVZ/lfhRB/C/yNlHLhdPafE0IIC4qAfk9K+ZPJxYNCiLLJKmgZMLXfHqBq1tsrgb7J5ZV5ls+DlPKrwFcBNm7c+EsxLhoNJXjqtdZpcqVrgjt31tFY40fX3lkYVOBzUFXqoXtg7kzyjrXlHDzVQ32FP+8Eeyicolr4CGfTlDq8DCTmS3rtukEsliVYuRSMF+b3INndEKxgIpKezgOdjWQqRzpuMuiIsmllCb1D0TnH4nZaKPcKBq12WqJDbFhZwtGzc0nL8oZC/D47qZSTshqTrp4I2ZwkPJSjyhWY7gm1Yc7N9rwOMh6l2Fy4Kma9doaSlTsptLmmK1qG0KbJkcuwUuRwQ3+rmtEvrlHVkVwW/doZ6rMZxMY76B1Mkc3NlyLGEhnCCZOAM4u27QHkLPdKCXDmNcT+z5B1+DEq7Mjjz6kq1tTxt5yE+jWIrfchhYFYtRP5s/89k3U66Rwq7v0SppRsLqhFThg8eaJ1enKg0G9n94ZKnnillYlYmnMtI+iaoNDvYDSU4HyLGjhvXL6EmEjyQk/+8/l8zyWWBcpoaNoIFw7OHwh5Csg6PKzBxfPkn+HZWlBOQSZDwYGf8Du7H+NieIiO6ChBm5s1BeVUdVzCHciQFuXEk1l+8sJ8A6N4MkOtu4DH20/TFpkZ9A8lI3y39SgP1KzGpVn4jaZtJKVJS3iI77Yew2ux84XmnRTaXQjgWi7H3156c46x0dWJIVrDw3x5+S3UZrKU68WcGxydQzAzCQtvvXKFaDKHMgBaGLoGVnsOp1M5zTpm/V0f9PBbKzdT2nYWeeDHEJmsyMeAPh1xywfwJaL0A+u85dSvCDKSiqELQaHNiUO30B+LkA2UY0RDyCf/evqsy45zqmpwzxeJ2F3IMY0Tl+eSgVAkxURPDrNQIodmmZgLAYiZe6z7Mr6lmxHO/POMwmkwKEwqVt2CvHZm3pWXhRUIfwmi64KKCrkeQ13Q38ZQaQ0vjXZzQDP40Pb7qDbs9GXTfH+whXg2TXNxLaJ5K3KoGwwbwuVXrtHpJGLjXSpbNJVA7HwYkonJqCUD+doPVLVs2TbVq33+AKJ+LfL1HygDGICRXmTLScS+jyFrVyFPv6qkf00bVf9cvraEgTZo3qz+bXPORIPkgRzrVzLiye9+YS7EqiVFxDOp+cRtEuGqJgaiM9fslfE+Nux8iPIXvgGZWdfC6UXber/qe3QHVO9lJoVYtlVlI1ttiMJy1ffoLVIZnRYbMhnHPPDPeSux8sA/KxnzLzpoc3hUP2rXxbyrxU0Y6QibA+3WjyrjpdlZjIUVaJvvUaY9/iK0B76M7LmKvHJUnZNl26C0FmGx4SsoUxLw0ese+UKgLd9B0Q3kp+8rfAuTLVFQhiysUvEoearLYvM9aAXvfL20sjrkPV9Uma+hyWGT1Y7Y+SjyutgTGQ2pCV6bA+FWTgVSSqhdgTz89LRhIYBsOY5YuRvpCrCIRfyqIKWJbDmuJg6nlrWdQXoK0R75fVVdX8TNozu/N8cvA+8ox5VSvowy+lmGIqMfRTUsBYF/B/yREOL7wL+VUuYvhbxLCDUV+4/AJSnln89a9RTwSeD/nvz7p7OWf18I8ecoY6IlwFEpZU4IERFCbEXJeT8B/PV7cYzvFplMjjeOd08TUFAVxGcPtPEx33KKCm4QMzCJRDJLSaGTsiIXXf0RrBadugovo6EE21aXLyjXVeNLiSY09pY38WLPpTlyQqdh4YGaNUSzKXJjQ+j3/qYKIZ+aCSmtQ+x8hNzEGPYbPDBthkBqBmcTbTx0awPnr40SCqepLnOzpNROR7KLjBHArztIJLPsXF9BR+8EOVNSW+4jkcqQSGao9hQQz6TYvKOI4d4UobE0D2xYy496jjGUjDKRy5Fz+dCv69OcgmmxYzdvIN9x+4hmc3yyaSuDw13UpZI4EhFSdhedNif+YAXhdFJJ+UDJCGcZfLhHexGNG7EYC58Li0UgrFbk0afn595JiXzjhxgP/h7ExuYQ0Gm0nYHmrQhfEPn6D+f33SVjyJMvInY/xk7vUp55dS5xGw0lOd86wqqmIFZDTXDkTMnQ2Ez12GrR0XWNoUQEuUA/p0QylAjTGBlTjpunXp4ZxFQ2IZZsxJIIU5FO89myJr450Dqn0tnkCnCXKRCA1tdK47f+PY11q6F2BQxehae/qo7tsT/CY6p7tbE6QFGBqiQOjca51h0imTaZIDGHgM7Gc90XaFpZTNLM8dXLB+b0hh4Z7mBf+VL2FS/h6FgnE4n0HII59fdHXj9FNC4m+5nzEc0ZAm4YUhFLV24O0by9tpZ9dfX8oO0YPbHQnHfrQuODS9YQTCWRV46oatlsmDnkiRcpvvOz2O0FdPUleetkD+mMiSYEq5uClNU4cDtt2ONh5Bs/Yh7tj4bg4iEKNz/A2WF13zntBoU+O4lUjpFQgkvtYzSv8KrqRXG1qqxnM2pbFjuy7TS4/Ehp0q5HqFhRTPLCzDyjfXkRHZYYfuEjVVCC7e7PIQ88PtkzKKB2Jdq2+4hqOu6FZIRCR3aeR6tQZiOGrhNOJxhIpylwuPk9fzmFpsQ5MYJ0ehDVy6DnMsT8MD6AqF2JfPlbcytuFUsU0TzxAmLXI8hXv4c88ypi16MIm1O58M47Hqlim/Z9DNl6AnnxbahdrUjyQsjl1I2aTszvu5z9Eb1B5EivqiAmYhg/+I/UfeovkPEqspXLMa7LHJXF1RhljdjbQmQmjzNt5vh6ZIg/ePQPcQ10KElsaS2irGF6hl9suB3ZvEX9Rji9iKkJTW+eDOJEBAbzu1STSUIs9AuTUM3hxtywX/WqXk92mzapCYqb2I4oqkT70J/ASI/q+fUEIFgxTYwAhK8I4StSMuzrYCSjsHIXsuM8dF4EJHgLEetuQ04MY2grfqHPORtybAA50gPJGMJfrI7zJkmuKK1X0TPXT/xqOqJ2JcJmw1y/H6Fb1D2cyyqCuOluFV9zkxDVyxD3fxkRGkLmMuANIouq0SddeGUypgbuBx9XvyNOL2LHw4jGdQiHGxkankNApz/7+TcRDTd/HItYxHuO8SHky9+evzwyqjw1dj78Ly6S6VcKz0IakvceNx2lIqW8BHxuMgrly8CXgEIUIf0UihA+teAG3h12AB8HzgkhTk8u+1MU+fyREOKzQBfw2OSxXRBC/Ai4iOpd/a1JZ1yA32QmouU5fkWmROFYmo7e+RVIKWFsInlTJHQsnOT4hUHsNp3yYjeZjMmbJ3qQEipLPYyGkridlnlxHXU1XsaJUi98/LjtJHvKmyiwOtGERg6TWCbNU53nuL18GbW+YpwvfA1x+8dV740QkEogn/474nf/Dn6ilBQ6GRydK4UtK3LhF1H6swbPDlzhoKWTTzauwq95iKbDfH/4IlejY+wsrWeds5YXr/aga4LKUg8Wi+D4hQEyWZP6Sj9YTa5FRsgKSbDBSTFOND3Dl0qbGE3FCOsGrNmbf7bG4UZ6g5AMq0pFHsmuqFuNVRN442EaDj6BGJ+RupW4/YTv/gKDLg9mZZP64bqeAAoNGSjBn4QCn52xibkVk+oyD34ji5aMT0ps8yAZUwO+fI6FU+i6qAYZUyQ2UKIkh0Nd6r3tZxFb7iUWzT+ka+0Kce8tDbgcBi6HhVhi7n2xblkxmh7DzN648C8lcPFt5GAnYtkWWL5duYf2tyFf/wFiz4cwfEWsef3H/OmG2xlwuEkhKTRNSntb8GT6SFU1Y92wH95+EtrPqj9TqGjirAZLClzs21pNUYWVSCaNQFJTV0RthQ+HS+fEyMISv7SZYywV54Wei8QyGZJJMYdknjnVxddlhPbRKKn0jWIZJiWKAoq9Nsr8NpZYklT3n6SipIDRDZso9lt5pu/0vHdaNJ09tTUUpuN8rGETFycGOTjQSjKXodlXyq6yRipzAj0+Dt1X8u8+PErOFSARkbx2ZIYImVJy+sowfm8VvblR6qMTc6M5Zn+CluM4V+/B6bBw72onJdF23AMXSLuKCa1dy7EhG+PJBGVlDSpz8MDjzCazYs1eZON6XFJgdWkMrbBT2bgUGcsgnBZ6HUkMu0kgkcB2+TCm1Yp275chUKScSUf6kIkormwWKpbCtvuhqBZhsahqnmFBZjOIeJi16TR/1rAZhrvxH3gCseEO5OGfKdMiQPqCsPUB5NVjCLcf2X4OttyLPPrsfMlnb4vqVXN4FPGoalbEvv0coqIRrhzNf85joZkqYy4LSIQngMw/x6WMiKQEmWO6N/R691hNB38xRMZUvuUxlT+ayQmOXo2wbNkDlNeuw3HlgNrOil1olUvxXzrCby/fyoCZIZbN4DaslGoGrstHkKt2o6/bl/eQ8uVu5oVuqP7A6ydApmC5cW/gbMjIGIz2I9NxhKdAxZ9M9oXKklrEfb+lZNjDXYo0rd4LTRvRnJ6b3ofwFirieNPvmIXxITVRU7McseNB9TsejyAPPwXeILnaFei+X9zsRvZcnROVIwFqVqDd/glEvomA6yCCFWgP/z7mmdcRq5V7sbx0GG3JBnU/A8LMYmYyiLt+A8yMmsRpP4eWxyzuRtCCFYog5/scraeQL85yco+HkS99U5HjtbcqGf1CuEGe7CIW8UvHxNCCLuvywluIdbfNaSdYxI0hqpchhVjQu+C9xM+T51mAyu90sXDf5S8EKeXBG2w371NYSvnfgP+WZ/lxVB/rrxRCCBa6ptf3hGZzJplMDotFx9A1MtkcyVSOqZclUznauueazAgBpy8PsXtjJVfax+gdiqJpgsZ6H7ayLC6XH4nAYVhwGzYi2RQjySg+qwOf1Y7bYsNAo1U6qdtwP55n/n5y6xI0g9DOTzCGD59Mccv6ck5cGuZazwRCQH2ljzVLizFDXWguNcAPZ5L8ddv8Cp8hdOyTM685U9LZN5eYa5pgMB7mqc5z08vKHV5+fyKE68xrFAMYNsy7v6BmtE+/OkMSXX7E1nvBlKTScew7H0Ee+ukMidN0lRs3PoilbhXOEy/OIaAAIhrCdfAnePZ/kteyGfY89HtKKh0LqYGlw0MukyauCQpGrrB/exOHzvTT2ReeruJtWl6M5/xTsHKXGvQtNFDQdOUWuhAMKwiNdMNaurbcQ0sywkgqTtXG26g3bFS/8E0QGsYCpg26JjB0QX+mn7t313HiwiDtvRPYrQbrlhXjL7bweM9Z9lYt57aCSlYLHUs2Q9Tu5IXoKK2T8ucSh1t9jkwSmc+lUdMxpcAoq6P0le9Sqs4kUw6i3PJB0qaJ5vZjNK6D5m1kyuqxJKLw/Ndg2Vb8upVEJoMezPLd1jO0hhXBWOor5q6qFXh0G5ZZnzObhURCIxGbIZr/34udXB3KEk94kfMiTWCAGLN/VnRdTlcwp/58YuVaNleWUhlwYjU0ZDyC+YP/Bq5hxnZ9nj+PdLDMuZKHatfwXPfFaSffEoeHx+rX47HYsGbT1HScp9o0WbNsNxKJO53Gd/p1zOplCE8hMt/kxiTSNjvtl5UE0WJolAWdmCb0j8Q41zLMpi1BEDfoq9N0ENAcSGF56qvT7stWrlB8+QD7932aTmuAXFqiH3l63tvlmdcw69dgDfVT/9TfMHzPF7jgTjJsiVNqd1OVSVPw8k9g/2ehYQ1ZhxtiExgdZ9E0A+HyQX+XyoUsq4eSOkTXReSZ12a+C5VLoW4V8vH/SWDvh5HeIkRVszIPm6VwEMu2QyKCbD8LOx+B3hZENo1coD9Znj+A2Hgn8vDTiO0PKFOhqR/eG30Xp4xwNF3dIRVNcPUE8yrNDvdcY53wOOKeLyLf+CGMTCpHvIWKTHdeRNz3JdWzt+Vewg3bOXKij7aeCa51g80aoKHiA9itOstqyglmBhGBYipf/R6VvS2ozsucOlfNWxCJqCK2vwCEtxCx6S7kwZ/MX1m9/Ka3L4e7laPr7AiVpVvQdj+K8BQgBtqRz/z9ZG/uOsiklWR2rB/zto9PPyd+qdA0dWSdF9R9MPv4deM9qYzI8Bjm0387f0Ko84KSek+Z67zTdgwrorhKGS2ZJqJ5M9LuQtM0ZCKK+cI3YLgbeXGuJFdabbDnQ7+wcY8Mjyr1U751bz+hYotuaBb1q0jyW8QiJnGj77KmL96f7xZFVeq59sLX57aB/BJw0yRUCLEP+H1UzubUFRXAIPA3wGsLvHURgGGXLK0LcLltrlW6YWi4PZNyGCkZGIlx4sIgg6Mxait8LK0r4OTFATr6Ityzux6rRSOdmTt4baj00TMYJZszee1oF/WVfh66vZHhbJiknmQim+anrWf4neW3cF/1ah5vP0XKnBmMaQgeqltDseYjLlIciJSz6+7/iD6WACHIFNg53B3FnoxxqW2Mxmo/S+sCLK0rQNcF/cMxnnilhV2rgwRtTnxWBxMLuM8u9ZfQEh2kuNDJ0HXVVLfTQsBrozU0t4dnr6cI19uzTJlrliGOPo00s4gdD6kcP6ErieqBxxG3f4qcLwippOrlFJqqNugWpG4h5w1ixMPYFqhSGn0tOGMTZLNJ9GRSzaZPDTJcPrTbPkl/MoLb7aXkJ/+Z/ff/DuHVpQjAnw1he/V/Qe1KpMWGWLp52mp+7ocNgN2pepYASmoZX38bQmj4T78Kfa1QWkemoJgTm+7guy1HpiWzhwC7buGL936RRt2Ox2Wga2JeLE5zXSEOt84L7W30x0/zieatbFi1hBwmb45d4a3WNnQEnytuoOHUa2hTEkShUbt2D88XVZK22imTQsVVXDeQU68VECglJgQew4bYdr9yME1EEZVLoaIRM5tG5jKkdRttux7h3FgfHW3HKLC52Hj35yjWLJRFQ3TaEvzvi2+SlSZSQjolODw2ypsX32a1q57O8Thn+l3E4xrp1PyHThdRrs/OtNln+jGbi3zUFLq4GO/A4TSxWuWcZ9PawkrubCjHb3OSnhjFDI9AKoa44zPIdBItEcYQOht0O0ZomBU1qxlFYNE0SmJhCuJRhixurKP96j5ctZvyi4dm7r3eFuhvI3bfb+JsWAOteQzAgpWAIJeT7F7qpF4M4e16BakZTCzbTFvOjYamKoQOT954H7FiB702J6Vnns273vLm9yn74J+g9V5XjfWXqIF7LoNmWBHo8ODvEkwnKQqPI+wu5OgAYrADVu5Gtp9BZlJYnV41gM0k1R1qdyG23g+jvcjeFsTGO1TP4mz0XEGaOcSS9chXv4d44Muq6n/x7bmvE2Imz9HMKnXDjR6K2QxMG7BJGGhXvdUtJxBLNsxzjAWgvBE5uU2xfJs61tW3IHY/qiquU1XOQImSpB/8ieoTb96iTICyKcT9v63crHNp8BWrgU9pPfK178NAG+Yjf0gkmZvjUJ1K57jYrbZdUl5AkSWDfPnbSh6961H1WQwLDHYiX/4O4rGvLPy53wXEsm3IsYG557q0Du3WjyJu5KI6CRmPYD771fkRKleOIEtrkcu3qT7gXGb++Q6PINbtUxmuv2QIfwlygYkHbfl2tPfC+CY0ML/dYhLyxIvI5q3vWKU2h7qQr39/jipGHnoKrh7HvOOzCGT+qBlQ+dHr98MvGl+SjOePCgNVNU9GETUrF6iGCuWwu4hF/KoQKF04z3jdbWpidBE3DaEbsGQDoqhKGQ/+4dd/afu6IQmdNAf6KIp8TlUTp4ZtF4A/RxkH3Tj7YxH0REPUVnhJJnN0TFb/PC4rW9eUMZieoES6GR6N0TIwSvFSA6/pwGPRuNo7QntPeNqB9u7d9bx6uItwTJ3ymnIvKxqL+OlrrYCa8G/rCbFhVRFFThuhdI6r4SEyZg4zl+WZ7vNzCCiAieSJjjP83opbMXI2VtZ5if1kMhcQEBaNHQ808/ylQUoKnVztHGdwNEZVqYfTs4xPEqZAR+PR2nX8sO04t/nLKBMaKaHxcnSYYqcfA0GBzUr9NjeXz1u41qEGZQU+O1tWl2IYOulcDrtusLtsCS7DCkLn6v5PUjbUhafzMqJ+LZx6SRmL5Ondkrkso5kUzoP/DAXlymwDVIXlyjG494vKnERKcAfUYNJqg2xGzdZPjCBzOfYbDuTL/8CcakhsAp75O2wf/w9IU6Jtuwfnj/8bTm+hqmyFhlReWnGNiqPwBqGwYq7TmMWmcvZSMYjHGP7Ef8KIjKMPd4GUjG++m6y3gKLuq3Qh+N61E/N6NpO5DN9uO87vNO8kFk+ze2MlR88NEE9mcDutbGry4bRbkMIkbeb4/aZbySV0RsJJdF2wJ7CcWyuX8FbnBcQr30XMPo/SxHXqVe7d93HGS5pxRodIFVRibdp0Xf+qQOz5MBPOIB25OHWb7mdUZBiqX0UmlyNgc1JocyHH+vDbXVwOlvKPF94gN1kBvJob4bX2bla56nHnPLzWeZauMfu0jNacVc08Pe0nNvcny6ILinwWSvxWqgMOWpM92BxZFWniNNFncdIP1i+j1l3IN1rm53g6DQv7ypfi1q2YA+0YZ99Q/YFmDnQDsWYvgZU7uSNTinViEPnc1yhHNaBPnza7m+An/rMiNOnEjCGPpkPDWkTjeoTVDtk0oqIJOdw9N/vS7kKs3oM1k2RjrQ33gR9h9F+dPNMQ6DzP2qattFffStwVwHX7J5HP/v1kP+ckimugYR39oz2UXzkKVjvh3Y+RLKnFLsE32A6ajiObIVO9Bj1YjZ6MqIdOzxWobAanR0kWa1Yg288iepW7rkSouBOXV/Vj+oKI2z+F/Of/Mfc7kowh3/yRmiAKDanzmA99raq6efWY+m7m60XUdaYfOboFxvoU+V7A6ZOyBiX/rF+N7L6qCEgyriZ9CsrV+ZnV342vCLHlXuQr31OSLatdRSfZ3erz3fV5ZYJktSH7riEP/gRRXIO02pFtZ5U7rmFBPPoV5GvfJ1HdzEDNCsZ0DauE0ubNBKPjiNgEOaN8/vFOImcyPZsvrxzNLx1+j2IqhKcA7daPwrp9qvfP7lJS2hv0t87B+MB8s59JyGPPIapXLEiaAGRs4n0JHDd9RYh9H0e+9K25qoPaVe9JpiWg+oMXQjY9Kdl+B4z152/LGO1T92rhwvcNuezN7eOdYLUrKXY+ib9hUZNTgRJE00Y1yTgLYut9i1LHRfxKIXxBtHu+iPnkX86ddCpfgmja8Ks7sH/BEEKoZ/Iv2V34nSqhnUAJc6WxLwL/Q0r5Uv63LOJ6pHIZQpEURw/2UVPuZce6CqSUJFJZ3jzWw+pNfkZ9MYZzUZ6JnyTUOlNFDNrc3Ld9LUfeHmbNugDDjHPbjmpSKRObRWdoLDZNQAHWLyumuNDJ+SujGIZOZamX9R6dek8hVsNYsEJpSkl3bJwVriLSb3dNE1AAmTGR5wepLvPQOxpj04pSYglFdmajrMRDNJPCFdP5r/5qbAf/Wc2W6wbrVt1CR3E9f37pAKBMWj7QsIY7llRipC0gBR19YbxuG1VuHw/VruWZrvPTuZJ2zeC3Gm/lomcHIyMJbm/cinXk8TyfRJDxFVIWjyjZWW+LkuRKCYXlqrrRcorohtsIrN+PsFhVGG8yClYHYtUupCkR7gDi1EvIqmYG9n+CJGBBUHH0OTj3BqOxCNXpOMmBbobv+bdcG0yhC2gotVM0cgH94OMk7/8yjuFuxLKt9NetIipNbJpO+fgQ+ps/JnfPFxjzl2C/dBjPdbLI6Ib9jKzaTVcshLmAaVA4nSSay+Cw6LT3hnhsvQNvbAKRGUWYw8iObmSyjq9Ur6d11CSdyTA0FsduM8hmJQU5G/d7ihALGJXYjj+HUdDMkNPJeNhK8YaHydzyQUKZBIam49fttF0cJpjVKHd7uRwb53utR0lPmqpICbWOEta4GxjoHebxq5eYiNim5bPJpHJkfYthYGoyY36MkNVmUujRaS72U+K30pLoRrencTpNrDZJtTvAhxvWkpE5roRsPNs9v2Lrtdip8RRSmIjx6aatXAoNcniwnYzMsbagkvXBKkqEHUwTzh9QBiBTyGWRJ18iXVLHpurlyCPP5j1fJKNkcxmE04s2JUe2uxDbH0JeehvZcgIAZ/sKWLYN0bwVLFaIhScNbiTy1Ct4yhvIRgfQ++fHU+hXD1O9chsToUGc7RcV+RE6wmqDbBYpBHKsn+UuH3L3Y6RtDqwOD66Wk+g9V6ByKaPVW7hwLUL7SIKg18b6xhKKXv1f6AUlCLsT+bO/gYolyO7Lqs9yGhJajsO625TpzcSIIkvB8hkp6hTMnOrHdgVu3C82NSGWTikSZrHNqXTKwU5Eab2K7BjqgqJqCI+q7/abP77u5BiIdfsUAd5yH/KV76gBfKAEYeaQ3gLkun2qNSKbQdqdSF8RmqbB7keRFiui7xpyuEs5QZc3qmsUGUWu2o184i/VMV2fP5lJIjWdsV0P88NUhPMjM98nm2bwmVs/zAqLE7fDStDvYCQ09zdY0wR+txXpKVVEeSwPwQtWvqcOj8Jqh5Ja9XR/t1ig9wpQExAWi7peeaoSAML+/oRzmi4vkYpG/I/8gYpBScehqArTE2Tc5eaduzVvAr4iRdLyZBSLZVtVRNA7YWABoyhAdl1C1K3Om1cNKEL9XhBAXxCx5e68Mm2xfj/4ihEWG2ZBOWL3B9RkrG6A3Ym02NEWYzAW8atG9TK0j/5fykQyNqGqeMHKm3LjXsSvDu9EQkuZmeLOosyHzgHbhBDbFnqTlPI/vzeH938GMqZJNmtiSkl77wTdAxE0jWlZbS4LiWyab3ccmkcSR1JRfjZ6mgc2ridlZOi+lOKtXkU6bVadHesqpiW6DZU+sjnJ8wc7pt9/9sowezZX4fNJjNyNm4x1wJNIExufPxuaG01QtdTN4QsRugci1FX4KC+eGUysXFHA+WQPK1yllKYHsD3397PenMU4/QpVkVE21C3nxMQgOWnyg/ZTfLlpF519CQp8DvweK6Zp4jLs/GPn4TkxGl+o3cOFS2MUlltxl0PY0UyhrxgxMTcdKLv1PoYcbqozKeWKNnvGfrQP+fo/Ydn3cXTNwPQWor3+g5n16YSSUG25l7TVTt/62xnPSTxxG/FIWvk0rXkQY+s9OLNp0pksZ72bePutmb7SEy1w+6palmlHEJiMbbuP0/EQL1w7SiSTQhcam4tquPXh36HQ4sIYaptHQAHcJ14kU9GItM03rLq7sIrtNjf+VBLt9R9BfILaujWIMUNZ6GfTqll7+Q7oOI+99RRG4328empGCi4E7NtSTYmW39wGgNgEdt3kSi5DVdBJZzLMU1eOMDhZRVzqK2Z/4wqikSyHe0N8/9I54nEL8ZiNREJVM3PZJEo0AfkIpjoWSWXAQcqIYnPMijZxmTgcJoYBNe4CHq1r5K8vvEbwOofT7tg4T3ae4cMNG1lTWIkmBC/3Xp7O12z0FvFgzRq6hgcI+3z83ZmX+MySrXxx2U5MCWY2w5+de5lHa9eyz6hR9w1ASY2SmYWGIDSIACyDHVCxBCqblPnNdVFB1tE+Uk4fYv1tyJMvqf7Eg48rJ9UpdF5ADncj1u5DvvWEkpimkyAl4q7PE3P6cBx7Du7/MgMlNThTCezSxDBNRDSEBYHPVwyNFsjlEKPdyDOvqoiOmhVQvgRnKo48+Di2ZExV6rbeh0wnGbOX8M+HhklMOmmPh6G1N8pjOz5LeaZXkc50ElGxJH/fICAvvoVYvQd57Dnk5SPqc1xPQgEyGWQ2pshOvh5OoYE2+QgKVsBQlyKRR2eR/NaTUNGkjv/Ei4iGtTA+iCyrQ9z1eSX3nBhWRLVpIzIRRdzzmxANIfZ9HDSNXFkDJ9w+fjbSyWN16/Ha7CSzGb7bepTocDt/tvE+nKP98Nw/ImdnWPa1Isf6EXs/jLA6kIYF/MWIJRsm3XGTyEuHweUnZ3fygiY4f51ENWVm+fuBq/zJiltxiRh7NlfxzJtt0+df0wS3b63BadXBMBA7H0I++w9QvUw5Y4eGofsyYvtDN1+p/GXDU7Ag8aJ+DZrLj9x4B/KZv5+/vqwBGax8XyqhXeMD/D8X30ACNU4/pYEijgxcgYEr3FW+lPvdBWi/aK+Yvxhx60eRL35z7nKnV8X93ET0Go6FjZqEy4fwBBC3fxL51P+aayphsaNtfwDxLsykFtyPEMphOJ2alFJnVX/02n2INXvV53AH0NbcAoNdyOg4IBAldYjiajWpsYhF/AohhFCmW8GKX/WhLOJd4GZ7QiWKozw8+eedsEhCZ8GuG9jsOiWFDppqC0lncuRyEqfD4FpXCKtdMJaKLVilHElF8TdaGBrL0t07M0hKpXMcOtPH5lVlOFw6bpuVJ15unff+o2f72bOjAsO48QO30V9C7tpZ7DUBEpfnzrraqyzo8T50zSBnKjK9ammQDZsKwSY5Gr5Ga98wmwqKcJzKb0Bsu3aanUs3cmLWskMj7XgmgpxvGWX98mJ0Xac7PjqHgPonw7jDZeO8ONqGKSXbiur44J2fwdJzFdF5HmwuzKYNRArKOBHqozpLfsmYmcPsa8FVWoOWh/wBiBMvotevpl1K3DEfTx5qxZx8+FstOvfcUofPY2fUWkjL8DD33VNDyIyTMbP4LE7SIcnE+gdxagYHx/p4vneGqOSkyaGhdjqjY3ymaQve3vnXC8OCaNqML5Nho9/N6zYXw5OROp8obmBj+zksdvfcPrvBTqTLp8xYJitE8uJbiF2PwsHHKarbOWcXUsLxi4M0bA4sGIQuK5vIuWwUT+R4c3CQ7188RzyuEY87SMQ13own+KvECWaEEgv3k3nsOsKWwukycToUwZzq1bTbJf9l7U5eHWrh9f6WvO/fWVxHd3Rsusp6Pa5ODDGWinN4sJ0HKley3F9GOJPEphn4rXae6zzLg7Xr+E6bkpI903MRj8XGYCJMJJNirbeYzTkT2XkGcfsnwVuIbD8PHecRJTWw6xGMV7+HnCWfFUs3w6rdc3t+TRMtGUWODyL2fhQS4bkEdArxsKrQPfZH6v+ajtQ0pDCwxEKM7HoMIz5BSX8bYrADIU1Vsc+oiqHRvBW5+hY4+ZKqTk5ds3NvQttZxPrbEXs+rHLTshnkwScQez9CT6aAxHUVKinhaHuKe1eWo186PPk5biDxSyVUBXfqzQvBW4DQrVBSrUyKrqvoi+XbkNdOQ8NaFQnzxj9NqhU+gGw9oSqo5UtUtcliRez9iKq0GQbCsCFzWdj1mDo3I31w9Th0nkfGZvoucXqJPvIHfKNXxaH87eUDXI8Loz1sSkSVGuJ6JGOQiCpzof2fge5LyGPPKQLm8CDW3oosb2QEeGu4I+9pMKXkfHiIta5qTlzo58FbGwlFkuRM8Lmt9AxMYLEL/KkQ8tJhxB2fRp5+FXnpiBpU3fEZ5MW3MV1etLL6hc/3+wW/6o1Ftyi5dCatHIkH2tCWbFDqksqliL0fUSqU5KQhWP0qtO0PqaiV9wHHRnum77jOeIjOeGh63csDrWwtqaPU/YtFEQhNg6WbEf5i5IW3kKFhFWlSuwpReHOVa1FWt7AT5WQriahdifjQv0FeOqwmsKqXq/0UVc1/z8/7WVx+2P6AytZNRpVM21+spPqzX1PvR9Svfs/2u4hFLOJfL34ed9wbYVKDtojZMDSdMp8H7woXLxzonCY0ANvWllHosTCcWcAUYBIpmSWXRwWVSGY5eLKXzbsKEcn8JDOezGJmBMlskmX+UoYSYR6oWYPLYiOTy/Fcz3li2TQCsHddQCtZTXbCQaZfDZ5ttW5s1j7kWAS7bcl01EcklSLijjKWjNMdV1U2PZNGXC9XmwXHdQHwPYkJbiuvZWgkwalLQyyp9jGeVoZFfquD3aWNNHmLebO/laOjHdPL73L6sT75V6oiUVwN8Qm05/4Rx9KNrN54B3K4d8HZdjHUhZFKLmzEkE2jpeKU2av46eFrmFLy4N4Gkuksz7/VyatHuvnInY10k2PNDj9fbTkwLRsGWF9YRaBiGWEzy8t9+aM4+uIT9CcieM0cBErVgx+p5IiBEuThZ9AuvoXHaueP1uzhcLCWNyLDrBjoxFJQjnwrT5UqNqFyBP0lqpkclItocTUFqX7uf3Az/fEIWTNH0O4mYHUQiguCG+5g4PDrdOVcdOVcdOdcdJlurl2rofvMUeKpqX6qhWOEhAC7Y25m5uy/f2f1bv7u0gHsusGm4hp8VgfpXJajw52Mp+J0JyfYXFTLmdHe6es/haDdxarCCp67Lldx3sfPpPDbnBwZ66LC5SOVShCNhWnLpelKhEmbOQxp8kfFDRR3XcY+MUK4cgmJmmZKui6jvfpDleEK4PYj9n4UOdoHuoF8/YeI2f2bqN49se1BKK2FgQ4VG1RYjt7bQrZ+LVQ3Y+ltQWx/UFXhW05Mkzux9T6YGFZumIkIlNQqR1W3D+nwQDJMYLgb3n5SRaa8/eSsHZtol95WUtY8EUTEQhCfmDTJmZTNIiGdYGiBZI7hiRTpnA1nQRmy65KSJVvtqkJ7PQorIKTk02LZ1jkZutMIVkJ4VDni7v804t4vqgrnUKeqEq3eA0IgyhshUKomVHY8hIiMQi6jzkdhJfKWD6pz1Neickgnq9tTv6Bi+4PQsA6ey1N1A6QnQPQd6m6hTFL1OS6EkT4EEtl9ae6EQyKCPPRTxD1fIJ5Jzvldvx5tkRFW2Cpp743Q3js/WurWbVVgSyFK6+ZWEHuuIHuuIHZ/ALFAJM/7DaFpyGClivOY5S4ulm1FislMYJcP1u1TMVfREFjtyMLy902Km8nl6JhFOuetN3Mk8t3bPweExQaVSxGVS5XZ1rvs3TWDtYj9n1by8anqsqYjdj2GnIpo0Q0oa0CUNfxc+7hZCE2HmyTPi1jEIhbxi+JmSOiit/EviGzWxJa28fzx1nkDlcNn+vlIZTNJ6429ney6Bbstf6SD3WZgWDRs5Jf+GLqGbhHYLHZuK1/KRDLKE51nGE/FcRlW9pc10egvJStzUFyL9tY38TXtxGxcCoA2eBhx7BiZnZ8g2TvT9B0jyc86z1Hi8HBP9UouhQbIGRbMgjK0wY68x5K6TrZT7PCwKXWV5csctKT8RONZ/A4H91StwAK81HcFh2Hh2OjM9vaVN+FoPT0zAJ8libRfOUZw+Q6yDjcLhZ+kgpXoFtuCbmoYFhxWJ4PRLA8+UMtwKsrxcBuGrrHv3lL8FgeRcAJcOf7hwsF51bmTo93YDQvL/aVkJw0x7LrBLn8pdTYvxUJgREZxDvXgrF8L7oAilVMDEJdfmaWEBiEZxXXseXYt3UTJ8m14nv0abLh9wQqU7LiAqFmm3gvTbqHjws5/eesAEzGTeEz1ZOoZJ5mkwcCEnZx55/yNJecaWBmGnEswXYp0bq+qoMxn5/WB+T2MoNyXXRYLj9WtI2VmOThwjdFUDKdhYWtxPT6Lg2K7m2Q2xeeat3M5NMjxkS4EsKmohqX+EkKJFEX2ubI1v9XBo8FqGnQrJmCVgqV2L67+a+jxGLL1lMojtTvZuXoP1lyGjwoL3mdmzKb8vVcJ7HhorgQUIBpCvvIdxO2fgOiECrsXQknn9n0c4fSocys0chVLMLIZ6LkMp15GK29Ec7iRz//jTJRISQ1iz4cVmQxWQGxiLqEZ7EA+91XEnZ9D2N1YQyOIzouwZEP+WByAK8eUfLNrPjmXvS0qHqWwYsb8aGKYiqJGzufZVGWRA9twG9SsgLNvIC8dUlW+688LArF6t3LD9QbVBIq/GArKkJcPq8Hzkg2qMnboKUAqN93GDap6Fg9DeATpLVLX4PjzytxH0xGFZchZ6gQJiJ2PgieADA2RF74iECALyhCzol2moK27jYRx4wG7d3LiZ0EUlkFocG6f8CzIg0/geOT30BAL9m9XO/1kRQ6n3WBZQyF2q6HMxiScaxnBZtPB6kCeejn/Pk69Avd/6dfiYWyO9CJf+e4cAgoq21IUVij59SS0oqqZrMv38Rgtuk6Vw0v79Q6+U+s1Hcd7IGO9Hj8POdSdTnJVKxGP/CGMDwEm+IqR/iL0PKHxvywCuohFLGIR7zfeiYS+RxZy/3qRTuc4c3WYXM4kGp/fQyMlRGIZioMe3BYb0TzxAwU2J7F0imaPhZ4SO52Dc2dwb1lVQJnHTtIUlBe76BuaS6w2righocUpMZ0cnxji2Vny0Fg2zRPd51kbHWNzcS2FZc0YugVx5QA6swZddjeDRjE5U227otzF1ZQa9A0mIvyk4zQP1KzGaXcT3nA7/mf/Yf65qFnJoczcUszKQDm5swcJXHyLdVUriNd+GKc7wLmRbk6NKzltPJeZM7QrNay48sWFTJ3T8Ci56mZkoBRxfYVDaMSbN+MExKpbkMeeJf6hPyXq8uJMJXH/6M8QzdtBgKMYfth2nLY5A5lLbC2uZX9FM61jwwvKQ0fjIZa4C/lKoBK7K4AnMoq75RxaUQXyyDMzbo1CU4QzWDljUBELId96HLF+v5KzAdYrx1ix4Q5lCiLmD0JMCYOmg+5sEV3dBl3R5aqq2VJJ10SasdNp5stlc5N/Jg9FQIFLw+WUmLbUtMPso0uX8froOQyLzBu3ldJjrAk28MZAyzwXX4CNRdWUWBxczg3ydNcMBYpnM7zad4Vl/lJWF5TxXO9lLoYG2FlczyeXbAYpeK3vCj/tPMtdlctZFijDEBpZabIvUM498Tj2F76lJhLcfsTqvaoSU1iGfP4fZ6p40TSet58Elw/bGz9mjlhjzV6kZsDK3apK4y9W5zidRE4MAwJScUTjeuWo6SmAC28hL76lqnLuAMaWe1RvYN+ktPr0K1C3GlFQNkNCBzuVRHfLveD0zg2Fn4KUyLOvY9nxMI5kDDnYgdh4J5x+df5r1RsWls06PGB1zDUz8RVRnuwh4CliPDIz6WUxNDZUGmjP/gh512cRd38B+cYPkUNdiN2PIS8eVmHgJbWINXuQI/3K+TYRU/2uUsItH1AmPtJUMQ6zzIjkQDuMDyAqmxbsM8Xtn69M8BaSDQ9jVC+HU6/MlzUHSqCglG6bk6rbP4X52vcRU1VZw4LYdDfjBaUEdCuN7gJao2PzdmvRdKrtHnAXgM2hpMazYbWDt1Dte6FK58QQRVKyJVDKoXH1m2gIjZw0J4O0Bau9RfQmRtm/o5aXD3VOPwsMXeOWTZWkLEn13YmG8u8jMvqe5Fq+FxATQ/PNmSYhT7+CWbdKkc9fMbYEq3hzKL/pz56Seop/TQxLZCIKh5+YP8nRsA657+MI92K8xCIWsYj/M3FDEiqlzKOzWsS7wdB4nAMneti+rpyF2j6sFp1ENsN91at4uusckVlE1G91cEflcqyGjqvtNLeVF9BZUcr5rhgOq8a6OhelV19Cc23GtBdRU+alpMBFW08Ii0WnqSZANmdSabUwLrM8n0cKBnB6vI9H6tbTmohSfutvUnDycbTJgYZZ1khy22O0tENp0EV5tQPhzZLMBHi4LMC5aA8tkSFe6LlEs7+EkC+I2PcxfIeeUoNgoZFZtpVT9as4PKgG6gLBA9Wr6Y+HMCarkZbuC7givQzYSqcJKCgn3dlII8i5fOh5Kh9qQzaiWRdjWz5JycXnMLrOAiB9QYa2PUDUW4gRz5FYupHuZVt4a/AaA31hgjY3Oz/4J5QbNgKalRMjndcRUIXDQx2sK6yiK8+gFuC+wipu6W3D+drjePxFiIa1yOMvqF63N38098XSRB5+Sq2b7ZKYSjAnXwQYCI0xVrqJgZ4MXenldKYsdOdcdOecdOdcpNFh+nAnZ9BTALaZc6nPVDOdThOvW7C/vo7DE5dxOEzy+WhUF1vZaCnnzFge8xlgW0kdRbqTjy3ZxA9aj09XfwHqPUH2lS9lKJ3k+W5VsVvqKaTK4qAvm+RSeIRLoQFGUjEuT6jKysGhNg4Otc3Zx7nxXqpdAR6tX8eh/mvcGRrFPrtKFw2pUPXtD6m4g0CpIjbZjOpvWrET4SuCOz4FniAyGVP5e91XYKRnWtItDz+lsiu9QURR1XwzkIolygRnygY+Oo585bsqP3KwY2Z5+1nY8fDcftt0UsWKuHwLE5rBTkQ2TdawYtt6H8QjUFCmYhyuh6bPGPtcB1HVrCrsU5XFYCUkInhP/5QHd3+abksF7QNxir0GDeVOguEO2HAH9F6DxvWIxnWKyEoTsWKHcoA1c8hLR5jYuB/fC9+AiZl4JpHLLljFEwVlyL5WpTworcvrBiqW70CefmXWAoHY9SjfHu3igxXLcD3wZVWV7bygqqZLN8OavYhsmgvj/fx57wX+r9s+TiAehnQS0xPghWSEp1qO8JdN2/mozcNXM2n6UzN9nzbd4IvFjRSFx5Qp0o5HFBGYIrJF1YhVu6G/DVbuYsEfcF8xFpuTu/3lVFmd1OdyeCIhslYbA04vwmqn0uHBZfh44UDXnMnIbM7k9aPdPLy/EU0LYy7Qn60C1389SKi8UU5rPHLj2JL3EaFcjk82bOA7bSfnKJBW+kvZHawhmknj/XUw1BnuhnxV9mun1H3nXvP+H9MCkKk4jPYjR3tBtyCKKpUawshvOreIRSxiETfCe90Tuojr0DOgZvfbeyZorivgUttc4lJU4KDQ7+BseIQnOs6wt3wJdt1C1jSxaDrRbIrH20/x71fuRUslcPefYEX3JZrLmhCxBNrFa4gdD2LGJhinhENn+vG4rFSXecjmJMcvDJDOmDQWV5O2ZW/YsBs3M5yPd3O5x0Np7YeoXpkBBK0TBskuE3eDxCt0tGyOkbYcnd1qQNdYXc266mp+3HucsVScr7Ue4/aKZjbc/yUCuSw5YeXysEZOg4fLvGhCw5G1Eu7JsaapAMvQDDHTO84w4JpbscuZJn6rg9BkJeTQSA+1K3cQ6M5DqB1uKCzDYhN8/1iYe/Z+EOP2D5OTJh7NxuMdp7g/46Ivk2JAC/FPbTM2SUOJCBdD/dxTtZKNwWoODOQ3yQE4ONhGRR77/aDNxc6xIZyTUkvRvAV57Hlw+SE8Mu/10wiPIJ0+RiJJOqf6Mi+YdIU30p1z0pVzM/zNAWCqX6d5wU2VWDJU+21UBhxUBl1clWOERAiH08RqnV/N3LO0mHMXFu63DNrc3F65jLbIyJwJEoAGT5AaVwGt8RGS6TS/t2ovQ4ko6VyWgM1JwObkq5ff4v6a1RTbnHzSW0rxlWPYhrtIF5Qzsmwr340N0xkdp9DmZHiBWIcCq4tr0VGODnXwu5UrcP3kL/K+Tp59DXHfbyHKGuDaaaTVRCzfrkjq43+O2KUiekRlE/Ll7zCnKlpQhli1W/X57f2ImjC4nnT0tkBF0zwpt7x0CNGwDjkrR1X2tc5zhpXRceVguxA8BaAbaL4g8vmvQyyE2P7g/MkLwFy9Fy1Yrtx1p6TpQlPOvN4gtJ4AfzHZFTvJFdegjQ9g3PV5vJ4CVpkJVhbZkNfOIC6OIyNjKstWCIRhUdme11cF1Q7wbrwDmjbCsVkGZInIrP7TWdANaFynqsehQTXZAjNEVNMRa/ZC9XLExLDKTi0oR6zYjhzpZW9FA8aBHyHbeuBjv4tIREAIpKcAvvZHsPfD9FqtJLNZ/rTl0Mx+Z/gxphCUvPEjfnflLgaKGwgJgR0oj4YIvvwd5P5PIcobMJ/6X6ri3bhevXGsD/nGD9Hu+xJ4CxErdyPPzZdGi50PI5xegvEIe449B+3nptcVGRbEvb+J5vKR6g8zPDb/nOZMSSSawXRlEY3r5uUwAoimjZhmjl8HIaZwFyB1Y24e3xQqm5C/Bi6+OTOHyGbZFE9Q4y2n3+4gAwTNHKWJGI5kjF5d/7UgoXJKQZFv3bVTiIZfDxIqExHk0WeRJ16cWSYE4s7PwpKNi0R0EYtYxLvGIgn9JcMw1Ox1/3CMtUuLcTmtnLsyTDZnsqQmwIblJbgcFrSIRjKX4bnJatH1Dk9SaGrg23Ics7iWZFE9WjqBY6wPefAnaPd/edpAJhJLc6F1bgWvd8Kkoz/Cp+p28uL4OXoToXnHKoDDo+18sHkjdWmBEVZVzObKQi7pKY6PdXNL0RJaLsQZHp0ZTLV1hilNONlUXYsuBBLJi72XMEuWsaqgHBnVOXy2g8ZqP001ReRMk5NXhhgeT7CiIUiqsgnb5SMAZDUD47oZ/xMjXXy4ejNfb3uLlJnFZhiMFZRj2Xov7qPPzVQO3H7Gbv8kQ4aNmmyG+x+s5qXey5zp7EUiKXP6uK96FdKUWAoFj587lfeaPdt9niZf8XTERz70xMbZV76UF3ouzrlOd/hK8Lz0nVknVSh5p9sPqQQpqdGTc84YAE39fdBFV2IPSTlrmHkFoHrevq06VDqh1qNR7dao9mhU+axUj12hMjeK3aLDSA9y+yeIVC/nhx3HOT2avzfKaVgJWB2sKajIW+lcU1BBgc3JM93n+VjjZrpj45wd68WiGWwuqsGq63TGRrk6McyJka6ZYwRmdznrQvB5dxElz351mthZJ0Yobz/HZ/Z/krO6wcPV6/BYbbgNg4JsFi2TIpVJkdMteKQJE8M8Yvcrh9SFsgqjIRjrR77w9elF8tIhqF2J2Ha/MnlZsQP53NeY56E21j8p7Q0oArbA9ZdtpxHVy+cQTsb6oWZl/mOaBeENknN50coaoX/+4FOs3oO0uTDCw0oCC8jWk0oWe+Y1RfJsTuSGO5VRzQvfROx4UOURZtLg8iLtboTTi6haikwnyOWyhHNZrG4/AcOCmOx/NM++iXC4kKdfniGchhXcASVVP/78/A9Qtwpx5BmV09l9FQYUwZYnX1bV4I5z0H5endvCcrRbP4rpL0V75PeRAx0qv23nI5imSWdkhCpfEfqBx+HUy7D7g7B8G4SGkU/8BQDFH/xjZSKWHYTv/xdk2WQVuq9VSdozKWqCZRwf7Zp/rCjFRcwbwLZyF95jz+GdXDp97QvK0LxBNXlVvRx55ejcDVQvV1VyTYea5cqg6NKhOe640zmNfa1zCCignImf+wfkR/8Dmlh4kK4h0dJJZLBCqUd6ZvVXVzWDvwRtAff09xtmQRli413IIz+bu0I3EJvuQvO9JwmcvxiEYJ2ZQz77d5RmM5SqhUxdd7Hv49h/Tcgd+g3Im7GQs8GvAAPtcwgooFoInv9HRGElFP/qJdiLWMQi/mVhkYT+klFZ4kYIqCzx0No1ztBYnFVNRei6oKN3gmcOtPGB/Uspd/rmEM/Zw2NdaFiFjmw/R2jv5zkd9nGxM4HNqrNl40rqR4/jTERI5oqwGBqZ7FwDo4piN/3DUTp7I3T2Rrhj5yq+mTw4R6KkIfAZNm4vb6Q53Evhmz+e6cFyuLHs+RAEyimUHt7OQ2gGhuJsaiqj3GKnxl3AB0s2c/biCMNmggLDzQO3NtLWHeLlw11YDI01zUWsXlqkWiNnleaGKhqotHvnbNuhW3CmHTwW3MK4FqHAbecvWw7zn9bcQbxuDSI8AoaFnL+EtnSCo32Xubt6BX9/6eAc19r++ARfvXyQzy3dQTqRnSMbnQ0JDCbClNhdDC5Qmat1FxK0OvlQw0b+3/buO06O6zrw/e9W5xwm5zwIg5wJIhFgjhJFUSSVLMnZktPaa9nPG7xv/dZey+u4TpJtSQ4KpiSKpEQxBwAEQSLnjMk5dk/n7rrvj9uDySAoIom6389nPpjpUF09UzOoU+fcc3Z2n+OjDSuxCINAdIThpEl7LkR7zkPnGQttkVV0jHhp7yikN/EQcq4WHTNiqkJrhmq3pCrVS0WhB6Ohjrcz3bjcJg6HJORwUeHys71iEYsuHoUDzyAW3wLWUjXuw+lBvPxVvA//FreU1HFoaO41XDvKF2ACd1QsosTl4/Xec6RyWRwWK1tLG1leUEksl2b/YDv7BtupcAdZXVhNxszy/bYjxLNparxhlocrpo3emfp2SixelrgCWLt3QuVCREUzVDapLqiZNIXpJDvSaWg/A4ahMo3nDyKPvoErk4b6ZdC4UjXDSYyrjqjzlS06vXMHj63HoHkttD6jMnPzBLHy/EFE7RIu2+TbNJlVtxwqhRml26Jm8aVxOYBaX1jRhLQ6VLbyiBUmsvlWG2LlHcjiaoRhwTYwOV6C7nPIwS7EwvXgDYDdrQLY0yoIlq98QwXY+fXDeILw8G+AzCGf+wqO7nMUTey6zYHx4V9HVDZjFFWq7N+KHflxG1Yorka+8u+I6oWIlk1q7evE34mqhao755vfQ6ZiiDs/o/Y/k1YXyHwhWH03Yt19IAVkk1C5AIsQ4AsialrY03uer57de+lb8kf+AvwDHeqLN7414xstyGQzxOuWUlRUBVYbsuO0+l5tfEiNYCqsYmGwBEt+DeZMG4prCeZMVQZcuVA1j5r4znoCiK0fQ8TGEIUVGLd/Etl5Ro3CAcSyrYiqBQhvCDnco8bdBIsRa+4BIz8n9MhrcPEI5gOfnz4yaapUAoZ7CDmD1JT7aeueMf7KYSFsyyCtNmTbSYQnAJsfUb8fFhuytxXZdQbqltwUjYksbh+5xlWIYJEqwR4fhfJGtV44UHCjdw9Q/2eao/0zZplO/k6bJ3ZTeJMEoaKiad6/NqJx5XXdl8sxj+2e+w4p1dgYHYRqmvYe6SD0GisKubl/awOj0RS7DnSq+YzHpzfLGYokKSv28UD1Mp7Or1+c6t7SJdgyEKtby9MXXIyMq8AokzV5+XiG5ILVrLLFOHNhmLturWXXgS7qKwOkMzn6BmOsW1pKV//kWqgLZ8ZZXlXJwRF18rc+XMcqZy1t7THu9PhwvPx308sQE+OUvPBVNj/6O/Sl51/vU2Q4Kcxk+UT5LTz7ygWS6RzC6qexxcmLe1oZHFEBYTqT482D3axaXExpoQtHm8r+ji/fxqu5FB/OZri3tIkf5sthnVYbqVyGYp8bkTJxGRZ+e9nt7B/qZpnhJmAJYBoWWqNx7F4H95Yv5tRY/7QAdKqn249wZ8Wiy/7cstLkjsrF/Os5daK/PFRBIpfmTGQAaUK9o4JXDvTTm8vS3R/gF/YcYGzcJJ2wEE/fP7mhEwC16vMMTPSItGFSaYlRZYlR5bdRVVVGTcdeapxZAitWQVUT8dgYhf7FPDXaQ9Djo8W6hJw0sQkLg6lxdvWcZ21xHfS3IZZtVSfBE0FzRRNiw4OIkX4KKxt5rG4NT7YeuBR4F9rdfKakgcpMhkz3OY5j4rA6+ULLtktB6KH+dv7kyEv8TNMGJNASKmNhsASrYcFpWrmzYhG98RFyUrA4WMJ2bwHCsGDNphGZFCIZV4FXdFiVbnoCKpiMjMKzf6fWajpciNV3Qyqh1mMu3YLc+R/T1w1eOIzsOK0CrTe+rRr8tNw6vbtsnlixbbLp0wyy/QQUlF/2534pW2JY5g10Rf0y5Ik9029bvFE16ZlQu0R1j514fmktYsNDxH1h3LExNYZj+W2IVXeogNjlRY70w/f+DB76VfW9miqdUAEPqHWKfVOW69csnl7Sl02Rs9qxnNw72SxpQiaF+YO/w3ji99UMyrX3IF/75uT9RdWI7Y9DdATpDqisqZkFw4rsvYh883vqcb0XwcypgC02ogLR/Hu9ND7ljk8jkYgpoZPVMv2/nJ2pOPc1rYaZGUiA2hZeSYyxPlyGeXw3YiJYBWTbcTUSJFxKpSfILy3ezJdP7SY15QLE4mAp99csxZLLYb7y74i1d8Gyrap02O4Eqx353FcQd31W7a8vDPXLVcAqJcITQDjySwNiYyqgGexCDs6oGIiNQSYx74UNAMwczqE2NjXXY+YkHX1qmUbQ5+D2NWUUHPkO3PIgYskmdRxNzbJ7g2q96nUab/JuzNF+eOmryOgobPsYwuFGDnaocvctH4M1pTd6F5WJ372KZkTNYkBCZBh5ai8ik5630uG6K6xUVQSvT78II9beq7LwNwEp5dzzjidc7tjXNE2bhw5CrzGLxaCpJkRnb2TeXiSZTA67xcq28iYKLF52DZ5jIBWl1Blgja+WrnMpYkErCX8dI+N9s56/93yc5uoKmqpNPG4rqxaXcLZtBLvNYP3ycqKxNMUFkzMeR8ZSLFlcxsXYIOvDtXgHAryyr4tQwMmS8Mm5m2/ksrh6LxAsX47dZpDOTD/Rd9otFOcijFHM4FCSZD5YvdgeYUl90aUAdKrDpwZorg0yuuI2RoJFvJIcJy4EaauV7Z3nWbvkVgKxKFJK2gMm37q4n674KP91xT1ciPSzI5OFnV9GjPaBMGhpWEN81R3EQ36OtM/dRAfU2s9Cx+VP6Fy4iETgFvsazg1G2XkhynDUYCRaxGAkzQvy5BzPMph6tT0kUlRZYlSXhqnK9FMT76B64WKq/BZK+o9jETC8YC2H3T7ejo9Sv3w7Z6XJrrF+Iu2HEQh+q6KJOkPwdNtRYtnJ9Zhl7gCP1K+i0OlFlDephiqNqxBuP7KkBuH2IXM5DNOk/NwByqTJ5sqldLm9DJomS0b6sD79N5BNYwPW2pwM3vYx3silKfEGOTPaz8JgMf91xd34c/A3i7aqJjXpJCTjYHcjc1nEyJAqBe1tVaVa2YwKFs/uh/rlakxH35SAUgjE7Z9ChktVgJRKqIZC6+9XpY+hEpgjuCSTzM9ALVYhjSegmtmcekudbFrtKjhzuFU57RwBpBAG0htSj7Ha5zxxUmvy3gFnq1o/OuPEkKJqKKicDPbdfsSau1UJ7OJbVfaqoBwGu9RJ7iO/DQIyTg8dViuh9pO4KxZAqBgOv4I8PKPzrd0JNgeZ4mqsnoAKcKYdYha1/Ynvkc2p1qK+8m+T76FhlToSpzb6mSo/T1ZUL4KlW1S55/io+r33+BHBYkRNC7KvDfOp78y9DaudnM2JpWnVtLEqU77ZECjCmFFaX+UJUuUJ0hEbBeCHfefZsnwr3pG+yc62qJEr0bX3sLP9CJtdoWkB6KXHnHwLY9k2RKCQJaFyfn/l3fTEI6RyWcIOD2VuPx6bAylNtcb0tZmZVlT2N1Ssttffjvnat/LZUpAVzRjbHkOU1MDlxnnkOxGLxbci33p69v2GRR23bj+F3/zv3HvrowwvWEzOhECyH/8P/xCx5aMYBWWY6QRi+8fVsR6PgNuvsuyeIJbQzRHcieFe5MRFkB/+w/RlIwdfwqxbgvGuF3uuPREogs2PIPvbVZWAlMhQGcZtTyAzKSyBonffyHUg7A5YtlVlRPtawTTVMVdQMXkR5AYTQiAW34Kcpyu9KKq8znukadoHgQ5Cr5OQ34nfYycSm37iawhB0KdOcDw2B02BYryGgywmZAVnTo5RVxbAZrMxwtxrR7JZk4S0Ul3u5J2jvZzvGL103/mOMbatrcJhm1xrWF7kYfVwF8vSOcZzXr59VjVLslkMlbWah4xHyToEt6+v5ke72y6V8xqGYOPKCqx+QcZtIxqfzLp6XDYS6ckrzj63nUzOJJnKkjMlqYzJH5tJShMRPltQRUEihhzpx7JwHe63fghn99P/2Bd5uu0IXfnh40kzy4asiXj2r6GoUmU3us4izr2NO9JH5qEvYLNcvoWHx+pgkbuGXe2dxONqbmYibhCPG6QTVp5PzzVNcTpDgMOVm5ybmf93SaGPnw37qDryAmKwC5xFjN/1UcZZRjI5TsTp4WhtJYsLKvhOxwnODLYC0DZjuHqp24/dsPBm3wVaQqUUGlY6E1EuJMbY6i2geWyQklgUGSpBrLoDeeJNZDqJsDmQrScRvuBk5gqV46tcczclzWuxHngZyhsQLh9yuAcGOih88V946MO/jiEtbMKAk++A2wdFVUiXD3F6r5pZmctOdih1elSgabGqpjOHX4PeVuhvV11dpwagoE4EX/0G4p6fm5a9kwdeVBmpoW7mI/vb1DzKeATGR6B5HaKgTAV+plTB43APBPPfj5lrGouqEBYr8p0fIbZ/HPni16ZnTQsrVRCYzaiM7PgY4kO/pkqDkzFE3TIoqsK02DC2f1wFspEh9TrxiGqWY7HCyT0gJV2NK/jDtgPTduHOkgY+XFCGuOUh5A//YdZ7FOvuQxbXcKD3LIU7Pk71Oz/C2qM6BctAEbktj2B0nsMorUOUN6oOuHue4tLFD7cfSqoR6QRyWiniDBMBenRYzQU9tlOVGS9YqzIwRW4IFiOrFiE6Zl9wkSu2Yw0WIuuWwqm90zrlqvdxL9Ljn/W8UneATzdv4I3ec+zpu0jGzPG/u0/xW3d8imB0WHUPdnkxw+UMWSz8YssWCl/+xuQG7C617/kLCHKgA1HRhBCCYpefYtfs1xTCgMUbkSf2QqgYkV93Kc8fQtz2hHqfw72YT35p+tzgrjOYT34J47HfUxdHalpUd96Z29/wAIY3iFy4Dnl89+yy7K0fU8/PphGrduDc/U2mhWgltYjKZnKpFOLiURXICkMdi+mkuvhz68NQXj/rtW8EebmMWGz0pskwSm8Qc+d/IPon1wuLkR7kS19HfOQ3b+CezSZsDiitQ5TevFPxREUzsrQeeqd3LhcrdkD4xl900DTtJ48OQq8Tj9vOtnXV/PCNC2Rzkye+m1dX4HWrH0NfIsr3Og5yaKjz0ny5tdXV1NZUkIln8FjnLoUN+BxYMzGipmVaADphz+FuPrSjEVAzAesrgyRJEDzzFj2h1ZceJwSY5Qsw5iqNA8yCSiyJON39Oe7fVk8soU5y3S4b+4/34sraKbFmKQ1OjgRpaPJjtxusWlRMfVWARCqLxTCw2wz2H+8jK7LcWdLIXfEY4pm/gVQCsXybWkd1VnWJHLI7uTg+eWJnYGKcP0jfw/+Di4NZ+oYTlC3bTm0Iin/4vwkMdbG+qIaTQ/1sDi3GlvXQOZKkeyTFrvZOskkbtz33FjlTApfv5Gi1ymkBpttt4vbk+HTLSgayg+wdap31nEFG+NNYhC/e+/N0DHfTn03zysAFkrnpQYGwudhe3kS1N0yBzcECm5MSw4KRzaoxB8lxGOjki3YvZHLIsT4Il2IGSjGe+4oqK/QGEctvQ+7+nuqMuuWjqtzsloeQT/3F7De070fYy+rVCW2wGNIJdZK+ZBPynR9hBeSL/4ycGgxarIitj6lSxYP57JqZUx1hWzapkrF8tkFsexy56zsqO3j41bm/qdm0em9TZVKq7NNymT9J/gI1f7K/HXHb4xAdVGM7ZhrtU9nOKdlQsXijmtk50IlYcxcyHkE89Hnoa4f4GJQ3qgAunUQ88Csq8xoZQj71lxAoUGtNCyoZ8IX4X4ee5w9DVThf+hfEunsnZ3FOuYAjK5rYmRqftWuvDrSyrrSJ8vJGxP2/hHznhzDQCYEiVRpbWk/MzPD97tOMpRNsWLKRlSu3Y0jJBWny8sAF1pXX8kjLLVjbTiB8YdUkKTaKKG+C8gbk/uehpgWxcJ26aDCTzQmBImRkEPOpv1Lfrwmn9mK2ncD42O8Q84XpX3sXleOjWEYmR8SkqxZxpqqZhlgU16HXEHd8CvrakRcPg9OHWLgWGY8ihnuhoGLWy1d5w3ysfhWbSxpJm1m8Ngdhd0B1Es4zgMb85zmXh0zlYoaad9CXdmI1oMQyTvjgd7HYHLO2P6dgCeKezyL3v6AaC3lDiNs/BdWLEIYFs+f89AB0QiqO7DqDsWwrxvYnMF/8l0uZUoRArLwD0bxGfRkuw3jkN5FtJ9QFEV8BRsutKriwWNWxvf4+RPVizGM71fzZllsRlc0IfyGi5wLyQL7xizQnOx4Dct+PMKsXYZTd+EBUeEPI+dZklzcg3b7rv1NzELGxaQHoJdJEntiDrGxGGDdDv+GfDMJfgHHfLyC7zqq14nYXxpJNUFqPcLrffQOapmkz6CD0OomMp9h5oIP1y9SIDSklVovByQvDVJb6SIss/3RqN61TZk9KJG8PthHNpvhs9VriboMVC4s5dKr/0mMMQ7BlTSVpV5T4yNxXoFPpHKl0jpULi/F57ZztGMa5opThO38GEbUwMVwy5HeSKKjB7QsjZmREc4VVJD0lSKwE/Haefe3CtEzoltWVjI1HqDYlRYkOmmuDlFa68Ias2C2SRnuA1/d10TcURwhorAqypqWUjuwQWzxhxPf/hkudC6sXI5/920uvPT6jbLLYFPQ13c73dnUynsriKXCz98gYHSMJPN6PMfAfHbQmDEbjAV5mZlnuRDZ5sois0GejJGinJGAnJsZwuU0eW7yEp3veJmtkpo00Cdpd3BespDY3jNvpwV9QyavD3bOaHGXMHP3S5JnRHvw2Bw+XNmAFutMJ6oSVwmyGKqsd0X6a5f3t0LQazh5EHtuJzGVVdqRlE/LIa2qd2Km3VbDZegyjcbU6Ya9dggiXwvgIYuujKkskBGL1nbPXAk7Vegw5NqA6kobL1Nq63d+D7Z+A9hOzs5G5LHLPU4jNH4UF66at35On3kKsvw/Z365O4s2sCo6FmHdtpnrijJJvq101x0knVTA4EdhNISqakWdVVkz2d0w7SZ8lnURseVRl6EprkQ43IpuBxRtVttQbVPMOE1FV+nhuP7nG1VjiETi7f/q2xgYRlQuQx3YSW3sHiVyGZ8wUH1lxG0bvRcTqu1TAPXGc1iymddUd7OycnU3PmDlSmQSWggrwF2AWVakLLjb7pRLGZCLKSP69vTnaw5sztnFwpIt7SxoIRIdVs6aGVVBUjTx3APY/j7j/l+izuSipXQrnDs76Xor192GaJsZg1/QAdEIiiuw8TXf1Iv6s8xj3b7iHRabEkU6RcLp4O5fm9c7j/IGvEFfvBeSpPVDRBKvuhEQE+eyXgRzc/ql5fzxWw0q1Lzz/z28Kc+ltHO/J8frhcUAF9oYQPLT209QWX+E6yZ7zyO/8n8nAKRlD/ugrKnu/6g41q3E++UBGhEoxHvwVGOlVx54nMGtGogiVIkKlyOXb1MWdGYTLB/XLsNQvU2XCUx4jkjFkOr9swRdWF13GBlXWPxVHXO54v47MoirEytvVxY6phKG643pDN2bHZpCx2X9DLum7qNYx3yTlrj8pRKAQEShELlo/5/GtaZr2Xugg9DqJJTKMjKXYfXD2WsVoLM2IJTUtAJ3q5Ggvo7Vp0mkbOTPFg7c1MB7PYDEELqeVw6f7WLYsjNs194/TbrPgtFs52z7CeDzDXduq+dqFPQymYtxVspiiAhcDQwmisTRx08PAus9S1ncQx9k9YBgkFmymM7SEgNWLKSzsOXx+Wmdd05S8daSb+26pYNxiIlyCgoUG3+84QH93FIdhZWNJPSvWVPL883GkhLPto5gSli8LY+87xdCDXyQhnDhEjkJjHJHfflIaDI2a9PdZL5XN/vLpc5zpjTGYyJDJzddXcDIAslgms5kej+Tu+npKg3ZeHDiMy2Vis6rOmlZhcHuwjBanl4U+yWJZRSaboc1q5ZmRLkrtLj5jdVHw8r9fypo8VFDOpm2PcdHMQi5DhStAqWliiY3CYC/Li+pV0HZ0D6KoSjXmefMplan8/l8hs2k1DuPtH6hmLxarmmtZUgseP2x7TJWHNq6Evotq/uVID7LlVsRQN/L7fzVZ/lZYgdj4YeTBl1VDGYdbdS0dH5leIpdJq2xYcbXquEo+cHV5VVnmXBLjarxG06rpYyxmlt6lVUdUeXwXYsH62WMcQGWE3NPLJsXy21QpY8dptRbz0MsqWARwuBFbH1WBc3GNWn+0aAO0n5y/h63VRrZuOcZLX0McfAnIX3Yoa0CESmHnkzOeIBiqaCJUUIEtOjy9MVL1IrXOdO8PsK29E7th4dXhLkb8xXysagH+VBKjZjFk06TsTrocHr50Zvec+2YVBk7rZPbOyI9LmcphWKfNxZ2pxOXDmUoguy+oUs+BDuRwD6JhBdgcyBN7KA6VIV//NmLlDrXutr9ddV0trkaefAsRKpndYGcK2XGakdJaTCl5erCNSysdpyR3h2SOosJKRPNq1ZH5yGsIpwe2fAR58Yg69q6CEVcpb5w6Pe02U0peOJnkiboa3i3vJlMJzD1Pz5m5k29+D1G/bM6M7SVFk10/hdMNV5CNvJIT9JmPkQ43BIpVJcjYgGrA1bgS/IXII6+rCynvutVrz+JwYS7dorrj7n9R/X0pb1AXYyqabvTuXSLcvvn/PhTVgJ5r+WPTAaimaVeDDkKvE4fdgsUQ+RLQ6ZwOK62Juec4ThhJJbBmnPg9Dp557fylRIQvyt0AAD4sSURBVJLbaWXD8nJyaYOgx0ZdRYCLXdObmWxYVkY6nSbkd3DLulKeGjzAYEoFUS/0neDDC1dRPlqIyBmEjATHxgx2x5eyeM0qTAlHu9IsDHnZv7+XhqrgpaZEFkOdEuVMSTKVI2vYiBgZWp1uvn3mLe6uWEStv5BkLs2T5w9yNtLP/duW8+prKri40DnKioWF7ElV8eKebgbiaaJZE6vbxnjuEbpGYvSbLvjqaWDyhLadkdnfX4cql20q8rG6tICcM83h6AXcHhO7XRJ2uAk4XAwlx8k5ethYtwqPq5w1woI3Nob0BPHYXdj2PoPR1wZOD5XLtoI3RO3BV2nZ9CG8Fiuu7nPQcivy5FsQj2D4whQPdFJ09A3Eog3gTyPfegbiUcSmjyBf+MdLgZoc7ITTbyMe+GWwORDbn1BBmy8MQ52qyc2GB1UX1BNvqmYmy29Dvv5tpo0MKW9EtARmN0EZ7EK+8W2VrSypVU0tYmOq7DabRu57Xp2IVy+CI68j6pcj33jy0rbF6rsun72E2RlMu0uVDoM6qUsnVaOcN74F6+9XTXRmZFbFlkeRR/PBrtWuAqXapXBoSI1jcXkRd35WlckKSDo94A1DRTMjjasgk6T023+CuOtn5u5ga3MgS2rZmxil5ZYH8Y/0Isbzx0zPeTXvceOHkQdfhMQ4ZlEVA2vuotPppihUigiXqcz0pREZFy813zFyOdYX17Gz9xyHIv0civRPe+mPN66l1uGc9+R3a0k9OePyoYTdYmFLWRNPt83ulA2wobge+9ggomnltMZJsu04eIKItXdDJomMR1SG2+WFcLlqenIy39U3m1GZtnmIgnIc71KqmBYCsXIH8qWvqWwy+SPp9NuItfcir1IjnUg8O2evtFgiw3gii+/yFfXqglH7XI3EUN+H8RFEeaMKAmdmG+0uRGXzj7Xf75UsrEJs/ogaBZNfzyvbT6jfkXt+7qYoxZ1ghEvV0oBqdfFFevwY7sC7P/F6KixHFlQghmZcbBFCjd+5XOm/pmmads3pv8LXSdDnZN3SUvYc7pl2e3WZj4KAk67I5U/47BYLDruVFw61TjshiyezHD83yOZ15eQyWZprg1SX+TjTNoLdZmFRfQGxeBqLzLHjllL+y5EfTSsdtRoW3DYbleVB7A4DW+9RVtRU0VBfzNh4BgFsr7Jz4twgfUNxGqtDFIZcLG4oIJXOIQC73cLxc4OAKpPrHB/hV1u28XZ/K9+5eBC34WB9cDGRcclTJ3s42h9lJJUjksnx92cGSGbnC3wmS6XsFkGhx47DhPWLCxiUQwzJ4UtrNS0WaPYXsSlYzIpAKZHYMNn0IuLZNAGrHWvHaZy9HcSKq+nwhCnMpbn33GEc5w9BWb26iv/M/1UnnRsfAgzIB+pi+xMUnXoLefQNpJkDX1hl65JxNah+sEvNfQxXwNvPIqoWqmzJcK+amWixIA+9qjIGZg6567uI8oZpI0ZEyyZo2YR86V+hohHRtFo1BHrzKWbNrGxeizw2RwdZgGQMUViB/MHfTc9S+gsRmx5Gth6HXBbRvEYFrFPI1mOIhlVqvc9MDjf4wir4nkIs36Y61KJGCsgTb4JhRdz/y8jjexC3PKhKHztOq0xc9eL86I9SWLENbC6kx49pmgxvfxwQvNF9hlfPv8XU0PKO8oUE7C6sFoP9Axf59G2PEd77Q8Sdn1HvY6Lk1F+A2PoxTtgdPN91krfsLj7+4C9TGBnGSMYw3D5Mu5vebJLoPZ8jmk5yPpMgJzPclxhHSonsvaguAsxU0YSwOXBZbCwKlnJydHLUkiEE91a10BsbY53FzmdKm/l637lpsyuXeAvYbnMTlJfPIkQzKQaT46wtquGdgcmOsQLYVt7M6dE+bvUUzL0eNjaqMqO1S6F+qZolmhiHrjOTj7HaVedQqw1pc6j1uFMZFkTVQso9QRyGlZQ5u8zfblio9ATh/OFLAehUct9ziNqWy77PK2W3z/23UQhV5fGuLFbVYGuOEm9AdRguKMP4yG9gvvoNyDeCorQWse0JxHXq9Grk0phvPT1jtiUqyNv7LLJqgco030TmyuTfLIQniLnhU1hO/gguHAIkBAoxV38U4SlH5/I0TdNuLB2EXieGIVi+oBi/18G+471ksibLmopYUBfG5bQRTLqwCmPW2kIAp8WGx+IgkszMmRHoG4qTNnOkx1M8v7sbr9tGS2Mh6UyOF968iGnCx7aWMZ5KXtp+0OpkXUkt6wJ1JMehfzBBdZ2HpN1HwhFk9zud9A+rrEBViZf6qiBn2kaxWqCloYDX93XidqrDJ57MsGpZGad6I7S3R2kftvEPL+8lk7CRStgYi2WBi7N3fIaA04pbCPw2C9UFbm6vs1GTaKfaHCZc10SrWYTp9FJfYqEz6cGfLCAkLAiLVZ1QnN2PPLoHgsUUNK9BJmJQXIkY6QenG9l1jmBsjJDdDWNDao7jfb+AzKZVAxeLTQVqu747PSMSKlUzN6sWgU11RGW0H+EvBLcPabEghIGIDqpyx84z08eMWG2IzR9VGdJEFIa6YNPDCF9IZdp6LiAvHkGES1VjofMHVcdZqw2xcB00r0G++X1AQuNKhGkio7OzwYCan/nat2aXyUYGVbCwYgfyuS8jVmyf/eShLmjZCL6C6R0+haEC82CJaqIDlzJuMjGOqFgAmz+KTERVMJ1JqcYs6+4BTGQmCyXVyGQC0XpUldEmY4iWW1X54fE36LnlIf74oLpAIhAUu1Qp3UAiigQ6YsMsCC7i62f3sqWskVNWB413fBJfPIrzvl9EpOIIIOsL8nd9Fzjeq8o3B5Lj/EFkgBUFldxRs4j6sWGyb34PuXI7BIrxOb2sHx2g5PTbuFpuJWsYambfM/93ejBgd2Hc+mGKPAFGu+O4rDY+UreSdC6LIQRCCPb2X+Th2pXYu86xav8LVK2+nR6nhwxQaJqUtp7AfXQ34v5fvuzvgUUI3hloo9FfxEfqVpA2cxgILMLgwFAH8UwarK7ZwWOePHeQ8dV34V++HbP1+Kzsntj4IcySKoyu8+q43P8jtfbw0s/1HszkOEVOLz+/aBN/c+KNacG0RRj8/MJNqpP1qb1zvwkpYbRfjX95nwoDLorCLgaGp5cnL19QTMD37o2JhDeIWH8/8tV/n31nWT2ESpDpJLL7vPqdrl+urvsMd0PXOWRhOcJ+7dcOyuEeNdpnLv1tquS6vHHu+7U5pQZsZNKbcN2yBUGWTMxOYk+ccJ1uSKRpmnaj6SD0OspkTYZGExSH3VgMg5FI8lKn3JFUnIdql/O9i4cwp2S+rMLgwZpl9KeiuC1zXwUXArWm0VDXdsfjGfYe6ZnxIIM0JlasfHHBXcicUFmfNLicBsf3D1Ja6SASaiA+HOWJ1Q4Yi6o5JH4Hh0YgXOTlYjTNvnMD5OwW2gZj9I+n6I+liZ/sn7FX9vy/U05eDSgO2PEJKzVBB2vLLFRb41R5oKq8hK6Uh764wdEzAzyx0krw4h5EeTXkipGBMM1mGnnyh4hcC3X7X1AniYZFZd1+8LeTgVd/G7LzDOKuzyLf+RGy/SS4PGoWpTeE3P1dtQ5MGCrYK6lRJ3eFFcgDL80uyRvphbbjyJoWePGfVSOZCb4CxI6Pq2DM4QGrQ5V8TpXNqM6xy7aq7JUw1Gvkciq4rF6kMoZWB/LVf1MluqAyIMd2qbWby7aqNXfljciz+6C0Ds7NEYg6PCobNgd5co+aI2qxzDtGQe7+HuK2j4NQ6wKFLwTlTUhvEHb+h/q+Na1WzY2O7kKsv0fNBM1nTy8duQvXwa7vINumNOcJFsOSzSpbu/EhNVbF6UbY3QgpsQiDW0rqKHL66IqNIoRgU0kDvYkIg4lxIukkd1Qs5Duth6bts9Ni43MLbsE0Jf/RepDBmZ13gUNDnawrqkUOdxPd8ihDhuBEdIC0mWNRoBDXhgdwnnwLe+MqzJoWjI/8J2TbceRgJ6KkFlG1CFHegA24r3oJf3XsNQ4MTm9ms62smXp/AfS1YRnppfSlf2VWQWpJLabdfdksTMjhZmtJPS/1nJ2WbZ3weO0KxhIJZg8jybPayAgQlc0YD30Bee4gsvO06gjbciuytB6LxY7ZfU6Nq1l8C3iC6rmpmCrzrl2CaFjJ4lAZv7viLk6P9dE5PkKlN8iCQAkVnhAyMoi0WOdfp3iVOo+6rHDfyhAHzhscb49jtRqsrfewqMaO1XJl+SzRtAqGuvPdgvNHaVE1xp2fQTg9yO5zyNe+qW6fuvz01F5EeR1UXPuSXJHLzr+GMX+/9t44mwqI7+si3Tbx/1Ac3/Z6LP4r7KqsaZqmXTM6CL1Ostkcew53ceL89OZDXf3jPHrXAkwp2dV7jg/XrWA0FWcoFaPQ6SVgd/JS10k+XLsCp93AabeQTE9fA9dUHcJjsyEMK06HhWRq+v015X7SWDAtFn5/0d0kEibvHOuhdzBGKKDKhO/ZXMuBk/0UB630tV7g5cMHaEs76Mh5aDd9dJsu5ljOOovPaaEs6CBuiWJzZqaNNnls4VLqfGHqHQFsrYeQh15ANK4CmYPhOAuCJZRVVGBNuwnGWlWXzp1PqiCttBGEVGWqwz2Ilo2qzNATUE19ZpygifX35rNZ+Y6l6QTy9W+qTN1EMIhUjT9Cparc1FMLB16c833J03sRRZXI1IxmMdEhlUXqPgd2pyp3nUsyBhPjJOqXq1Jcw6LKYs/kg0rTnAxAp+pvV+s8Qb2fnvOI7U+o5i8zT0xdl1kgJyWUN6kusfOVGOayqsPp/hegciFSWDDtTn7z7Fv85vLbqH7hq9DXptYdHtuFPLYLsXA98tArqtzRYkUs2Qx1y9R61PIG9d6Lq1U30VQCcffPqp/tm98Hlwea11KczfFYwxp29Z1jZ+/0IL45UMzW8iYsQnAm0s8vLNrE+bEBhtJxar1hSl1+nmk7xmMNq+cMQCccHe6iunIB3+2/wIGhyQByT/9FKj1BfmbxLVQBhmGo0tt5mqyUugP8xrIdXIwOcWy4G7fVxvKCSqo8ITw2B2aoVJWAzhE0iKVbsHjnDR8BMITBZquLQw7PpbXbE+o8YVokEC6Zt4twaslmrF7VeVZUNqsZlPEI2BwYU0eauLxq7egco3REPig1hKDKG6Jqro6ngSLMxbeqzsgzWW3qosNVIPsuEvj2H7O1uJa1jRsQ2TSeo2/A21Hkx/+LWsP7LoQ3BFsfRSzdosriHW7VGTo/TkTOt2YUkBePI65DECqtdhXsTi2dnlC1CGm13RSNiX6S2Eq8hB9fRvLsELlICueCQmwVPoTQ30lN07QbTQeh18loNDUrAJ24fWgsQaknQF8iyncuHqTOW0DY6eGd/lbGMkkEgjKXn2Q0zcaVFRw+3c/QaBIhoKEqSCjgxJoxEXYbG1dUcOBEH6NRVapXVeqjqtTHeErFQG0jCZ58/TzDySyRTI6x9hH++kAnCQnR1NST5rnL6CwCivx2cKSwOtNqbqbbZFV5CQ83LcTvtvG1s2/RGZseDGwIFLNkfJSyE29hpOJQuVA1NXnha2qsB0C4DP+OT7CgxII426lODIWB2PAgDPeowGhkSmbIV4C4+3MwpTkLACU10HVuMgCdQh7fhXjoC7Bqh+roef4QtJ+aHOcxn1xu7gDRG1LluaffhuW3qWY285ESCioQFY3IN/5D3bb5ETiz791HjmRSKoOazy7Jt59DbH0Mef4gdJwCt08Ff6W18484WbxRNa+Z6JbbtHr2OJKyBhU8JmPQdRpz0Xp63F7SMsdfDl7g43d8gqroGK7hXlwP/jLG+ChSGIgHP4/MpsFiJWZzcjEdpwcfPXYLfXEn95TUsOT8IdUoZ6oxkDYHlvrlRDIJzkcGZ+33mbF+VhZUEbS7kEj+/uQu6n0FhB1e3ug5y3Aqzieb1hOf4+c9VU5KzmaT0wLQCZ2xUd6MDvDRwioVhL6LQqeXQqeXtUU1s+7LhCux3fU55HNfnt7oqWEl6cpFON9161B0bBe/WlrH2fJK3hwfxioEm9xh6vvbCXecJrN8O+LWDyNf/cb047ykBnt5E+4Zoycs7tmBryirRwoxu9kUIBpXXMFeoo6X2iXQOiXjbVgQt38a6btKjWrya46N/la8/a3T7pK9F68oCAUQNof621Ay+2c25+/2hMzcXYqvOqdXjWMa7Z9ezeANIRbfgnTdHPM3f9LYSrzYSt6te5WmaZp2vekg9DqZKLstDrtpqAoiBAyPJTnbNkIma+Kx2HiwYhkB6SU6kCMdNVlUUsW5bA8BhxOvxYqDUZ7bP0JzTZgFtSrT0d4ToaNrhAXecYZtRQgDGhcWca4vSl80xVvDcf75WA+RdI7eaIrsFaQz3XYDrweEI4XbbbKwOMDW6ko2pPtINS3gb0+/QWJGsNUlu9g3amebq4nOGeWgy7wFfHioH9/Bly/dJi8cVmWwK7er4BJUoPni1yi475fUmkJALFiLPPkmxKPTA1BQWch8Se7UDqmiuAZ58ej8b3CgXWXhhKEyqqFSFbTFRucN4KhfptZ6ziAWrEMe36XeU/tJ1XF2rjEnVhsUViJiYyq7O2Hi+xgbRRRXI2eW8k7whdXolqIadTVhfAT5yr+pTq9r74FUnGxJAyf6BEu3PAov/PP0rrG+MLJ5LYnYGM7zBxBjgypovePTyPOHkbkM0cZVOArKsI/2k7v7c0S9Ib4+3M6Himuo9ATpjI3y5b7z2AwLXquDaOtBstLknqoWSi2Cfz5/cM5d99ucKoCc+DnP1HGK8VyGl7tOz30/8HL3aT7RuJZqb4hGfxG7ey9wPjpAjTfMR+tX83ZfK7dXLsRjtRObJxhdV1TDM+3zHxe7ey+wqbSBCs/7m3PocNgZLl6M77HfxzLQqi4uFFYx5i7F57+y2ZiibimFz/8ThQ4368rqEVJidJ1VAedDX8A+1o/55lOqxFzmIJVUzXfGBuHVf0eW/h7icllxUBdE7v0F1Y11ImsrDMRtT0DxHIHaDGYqjtz5H4jNj8DSrTDYCU43FFYi+zsRPW3gf//ZUDkys9R/ivHR9719AFG9CLnvR3PfV7v0qrzGuzHCJZjjw4hlW9XftOQ4OL1g5hCBAoyrlFnWNE3TtJuBDkKvE5/bzi3LyxgbT7P3aA+mKSkOu9m2toqQ38lgKkJVrpiX3pwsbTt/ERY3FVNf7SeSSzPisrJtbRVP72plJJVlLJ0jISUev51/OzFCZ7KNkfhlMnFTeK0GAbuFgM1CwG6hzO/k0dsaMFxJvnbxTbJyMoAxSbI3NcLaRVvoiY3OCkAnvNXfyi0laozAmoJq1hRXk8xmaUkn8bz67dlP6GtTTUBsTsjkMxGj/dPnWhZWIMycWhs5B3lsp8oSTLlf5st0mRjLMdPEWjVpqnLS9ffDUA9ysAOx9h6VpZyawXK41Vq6mRlXAIfz0sxQRnphySaVHZ3x2mLTR1QX19EZJ9SW/Ky6xDg0r4XjbzKrG67Lqzrlth6Dl7+uxjjsfkoFN23H1RiHDQ/x8kWDk10DDNYG2fLgr2HtPasaEpU2kCko5ztjPeyNDHD7xgdYbPfgtDrIuH08Q46UmaV1vI9MpJsHqpeqYG2olbWF1bgMgweql/J3J3cigYyZYyStsrYeq4OWUBlWBIVOD4PJ6eWjAA/WLKMyk0POcd+ELKor7HyimSQeq523+9voi0e4s3IxXpuDjtgIf3dyJ/dXL6XMFeCB6qV888L+Wc8vcfkJOlxEM/NnvFJmloz5LiNqrlDfaIqv7hzAYnixWHykTySpKB7krlu9BP1XkAstrYeKJug6i2VqlnHBWiisguEuiI0hd39XHc9WO0zMFbU756wCmElYrNC0GlFYqWayShPCZWo00JXMUEynIDaK/MYfqq+rF8PoAETyFQV3/My7b+MKiPIGZMc85bK+Kwvq31VRNTStgbP7pt/esFKVkl8nRvUipMWC7D6v/ia6A6qk+iaav6lpmqZpV4MOQq8Tl9NGIpXjxPnJrqP9w3F2H+zi8XsXQc7gzQOqM2LWlIxlcoylcxza20n4oofusSQXB2KMJLNkZ5bPXUoQTp5A2wxB0GGlpsBNVdBFY6kPGRmnrqKA4yf6sc6YVbikqZAit8FzI+enBaAT4tk0PYkx2mKzS4onSCTRTIpPNq6jMz7KV069iSkl/8MdZr7BArLjtFoPOeUk08ymERMdWieyeXO1BQYVyN76MPS1w0A+gL94BHHrw2ou4ky+ApVVnboPx3cjtnwUsinV/GfLR1VWNjKEKKxQY0Ve+lfEmrtUIDllrZ8cHVAlifkMpnzzKTWWJZdB9rUhfGEVQJrm7AC0tA6GVAMpc/NHMEZ6Ebd/UnXnnVjbGC6D7Z/g7/oucvuCNVSHy7EN9yLu+VlVQmia4HATMe0srSqioS6HgyzJ/pN42k5g3v05Xoj047bAiBCkclmeHWznsCfEraUNvN5+hJ745FxZQ6gurB6rg+3lzSwJl1Mai2C4Qvzi4i0823aUjtgIAsHygnJur1iIN2ejJNbP55pv4fXe8+wbaCMrTUpcfu6rbqERCyZZREktzPUzsdpxC4MGXwHnorPLcQGafIWUuP080bCGt/pb+VHncdJmjpDDzRMNa6jzFuK221lVWI3TauMH7ccYSI5jFQYbiuvYWtZEsdNHva+Q4dQcaxiBYpcPr/X9NywZHkuyc7/qIpwz5aXZwF394wyMJK4oCDUKyjBv/xR0n0OefkettV24DkobMAIFyHRclWdLU/2OpKeUjFYvUhm0KyAMAwrK1Md75fIhKhchJ0a0tJ+Yvu2rFSCW1c9doVBSc9lZp++F8Pgxtj8OC9djHt8F0kS0bEKUN6jRQteRqGi+LmtQNU3TNO1G0kHodTI2nuLoGZUhkFKSyJmMpXOMjeXoe/kMvZEUR9tGGMvkiM2cm9kXnWOL4LEaVIVc2HKSDYuKKfM56O4cg1QWl8W41HxhVXMRC+tCjHZ04KsIMToQo29ocv2h120j7HeCy+TY+Z45Xwvg9OgABa7Lz6mzGxbOxkZ5rUeVrgpAXq5LptUGmalZG0HGFya28UFCz/+z2sLoABRVwcDstXwECuH8IUTTSlhzl8pK2p3IcDli1Z3IQy9PBrLBYsSqOybXY04YHwW7E1FQjuw6ozKewWLV9KjtBFQuQmz5CLLtuFo7GhlCjg0gSutUFqpqgZotKU3IZZF7vg9Oj1qzd+Ew2cpmYkDg0om0gPpliMoFmOcO0H/35/h2coxGl49VTh/FD30BIzYCFjsxX4j/eWEfo5kkhyMQsLvwOIPE+s8TyaT4TPMGRk6kONkxjpQxCvx27miy4DnwNCRjxKVJnauIvz7zGvW+Au6vWUKZK8DJ0R6evHBg1kigbWVNLAgUsyhYijlqMNKZpryuhLDVTtfZGD/TsIG4TGMRBkbKQIxbKasIYPadxe/x8aFwJdtKG8iYJl5h4EyOQyKCcHsRSzYj+9tmXVAQq+7AmUlzX+Vi/uLk7PmnArizYiEOi40iW4D1jnrWLakhK03swootYaPUq4KugMPFLSX1NPqLiWaS2AyDMrcfq6H+1N1a0sCBwY5pHagn3FvVQuG7lbBegWQqy/g8FQmxxJVVKgAYBeVQUI7Zsmn2OtVQmRqRM3NWqGHBWHMPwmbnWjOsVuTiDWpO7MwMc+MqZGHFVWmkI4IlsOEBFZBfOKxGKS1YqxoLXcUSVeEJQtMqLE2rkFLq5jWapmmadg3pIPQaSWVzdI4kaB+O0zEc51R3hLfyQWYknSMz9US8e+4h6hYBfpuFplIfqWiKgN1Kmd/BuuYiCt12nDYL4YCDV97u4OFb6xiJJHm2bRSs04O+w6cHaKoJ4S4IMhxJsbAuTGN1iGg8jcdpw24zyGRNwMI8fUoANatxVVGVCiznuL/aG8JrtbOz99yl2yTQ7/ZTMF8DlMrm/AzMvGVb6bDZeSoZ4Yl7fpbii8ew+sKI0q3I1785veOoMBBbHiVnGIg3nkSM9Krgr2UTovs80hNA3P9Lajan2wetJ1Qmc+Yw+IoGtYb06BuIlTtU1iUZU2W1JbUkHB5cqRis2AF9bUhvCEb7kfueV0H0fb+IfPBXEIdfg94LqmHSkk3IdIr48tv4m5EuBjJJ7tn2KMWmiWmx0m+xssgbYqiigXEh6Gzt4eT4MM+gSlwfrFlKNJ2kyhCMTjnBH0snGJuS9XJabJxon8yuD0XSfO+IhcfXfITA/u9h2N3YYlmeqFjPswOHeabtKA6LlUfqVnIxOnRp/a4hBBsLGgiOhHhqV9ul7d22vgphtWOzWmhpKGZgOMHIQBK7VVBR7KKwUDXAGSypxnH0Dbz7n58+OsTlY/SBXyLtCWIf7kbc9jjyzH6VwfYXIBZtQA51YXgDNLj9fK5pPd+8eIhYVpXm+mwOHq9bRX1ABRsel42SQh8jkSRkcrhcNsKFTiwzgrQil5eiGQFl1sxREIfPNN/Cd1oPMpr/PjotNu6rWkJFzkk8m8L9PrOhNpvA67bNGYh6XO/9T+5cjZKE1Qqr7oRwGfKtZyE+BtWLMNbcA2V1P9Z+/zhERRPGh38N89Ar0HpU/f4tuw0aVmB4g1fnNcKlYOYw00lEoEj9HfGGEHVLrlmWUgegmqZpmnZt6SD0Kvn6nlaOdo7RNhynfThO31jysjPfJrgsBrWFbqxZk+YyP2ND8UtrNT1Wg7IiL6sXF/ODNy4S8jtYsbCYN/Z10pYv8fN57Ny1sZaX97bR0lg452vkTEk6m0O67WRiOV7f14khBE6HhVQ6R86UrFxYTGzIYHVBFe8Mzl2uuKyggrDVzYM1y3i67ShyyjsM2l3cXrGIVC47bbA9wPej/ZRsfZTwa99mavgqF9+KQKhsojeIXHMPycoWzsX7OR8f5Q8TY6yqbGCdN0xdJoN3+8eh5zxysAtRVIVsXMUr2SRP957nN3Y8QdXYEIbLp9aPHdup1nz6CxGr70CODiIcztkBqBCItfdi7n9RrT2daJ5TUkdqyyN8qec0ywsqsRoGIptgVWE5heOjGDWLoXk1aX8hXxls5ez4MI8s30rV6juIWWwkDIOA28eXjk42Y/r2wMVpL729fMGlOZAfa1hNNr8e0SYsPN95go7YKL+z/A4chpWUOXvcR5UnhFvODphSmRzDtiJC9/4cPm+Arngf7UcS7ChZhrVEYkoJw1aeKNvAqGUcp9WKTBkcPjDM8cHJtaxFIRcWQ1yaxeiwW6ks9VFZOrtLpzU2gvfAHI2HElFsZ/YRWX8vxS2bMb/zp1Bah1i+Va1pfPuHGPf9AsIXxgGsK22gIVjCYEyVCBd6ghQ4J7Pvo9EkL+xupbNvsvvyxhXlrFhUjNN++T9niWwGS3qYgbM2Hm/YQNqWxpQSDw7OnhjHXTVCLOR7/0GoxWDNklJee3t65r6s0IPLeQVrLa+QcPtUx+O6peq4dnqvSwZ01n5UNiOKamB8CCw2jGDR1X+NwgqMcKnq3GwYl0bIaJqmaZr2k0kHoVfJs4d7eLt19npJqyGoCLmoCroo8TmwZEyS0RRei8Bvs3DnhhpcDgvP7Wrl4/csoLs/xvFzQ6QzORbWh0HC8XND1JT7WVgX5oU3W6clFKOxNHuP9OBx2vB55j4B9bptuJ1WokaG7gF18m5KSTw5Gdi0do8h8bNlQTPHR3tnjbsI2d0sD1fiGBqn2hfmkboVjGdTjGfSFDg82AyDqmSC4Tn2oT0R4csuPx+67+eojkchkSHiLqU97WVFcyH2+uWkheCl8UGareCx2i/t476xXvaN9WIzLKwLlNCycB0LwuW0Jsd5qecMJ0fVerQ/ajvM+mAZD1ht2Gpa8C5YD9k0psPFqDQ5HB9D+gNs2PEJPPtfgOgwsrQOo+VWxsYGiW+4j8DK7dgT4xhOD9lQCX9w7m1GM0m64qOX3stEzrbaG+Jnq9fSGhvi1PgQGTPHv3arda113gI+Vr+aSPYyYx+AoN2JRQg6Y2r97Ew+mxOvCZ9bsJGvnt1DfEoAXeLy8VjdavbunrtzaM5fCNUqGPC47SxaHiDaZ3L26Agup40VC4N0p0YoDnpZECyhd2CcpmqJNFUQW1cRwO20UhR0X1FWKDc6oDJUDheJxlXkHC5c3Rew9F7Ac+EwiWVbEcVVGI/+DrL9BLLjFKKwEuOR35rV+KXA6aVgjjWNUkqOnxuaFoACvHmom4piL1Vll5+/aTMstJFhQ2GKFw6n6RlWPx+/1869C61ELUl8VyEDlslJTl8YZtvaKtp6IiRTWapKfZgmjEZSVJZc3VEb4iYY3WE4HOCYZ/bsVSIMy9VrRKRpmqZp2g2lg9CrZFNTIUU+BzUFbqrDbqoL3JT6HBhZk46eCKZUHXLbeyI014awWgwMQyAlWC0CwxCkUjl6B2MEfA5sVoO+wRgN1SG6TvSxcUX5vKWyXf3jPLS9AbfdYNXiEg6c6Lt0nxCwZXUlsXiGrDeHxzV3JsbpsBJLZHAlg/zigs0cHO5g/2A7FmGwrriGZaFK+i6kiI3FWVMwjjVUzqg1jbSDSxqUx0YoyCVxhEopdwfontLsBqAtEeEvEhF+uXkLO1/ux+W0cvvGYr4/dA4BBB1u3FYHLouVMncAQwiVscvLmDl2j3RzeHyI/xyu4rW+83isDj5St5J0LouRDx7+sv8iD9Uswyrhe90n2VBch0RiWqzY7Q6ezGVZtuMJFnoLOBgdoMxbwKiZI5JJ4vQFsPsL+F7rIX6lrIEVhVW81nN27p93SSNmXNBzLM0XVmxjMD1OOpclaHfjzDrob0tTWGOn2OmjPzn3mt4Sl58NRXU8GZt7tMltpc04pZWT70T5zPJNjIsEqVwWj9WOLWXnwoko4YCbvqHpcwyFgFDIeyl4rPKGkFIyJgZpKHSSkTlO5NpZHqqkKV/mWlLoUTlqKYklsuRyJjXlfkoLL78G+NJrWm2MbvwQJ0preXmonUQ2zeKV29jsepCKgy8jLepPjSgoQxSUwcodV7TdqeKJDMfOzt24qK078q5BqNNqI+ULE83186DvDJHySkwp8Cc7iIsw5+0+tjuu7P1ejpSSgZEEPYMdlBd5cdqtHDkzQDKV4+5Nte97+5qmaZqmaT/pdBB6FcQSGT60uIRkQwE+j51wwIXFgAMn+tl1sGvaYzevrmTn/i5Wt5Rwvn2EdUvLkBLu3FjD4TODnG2bPtqjbyjO9vXVvHW4mw3L5840CAF2q4WsKagt91NR7KWrP4rdZqGi2Ev/UAynw4bdI6go83Do1OxgduWiYgI+O8HUMH2JINXjpayoq0YIsKXteLJWMn6Bz+PA7vPRdPh5EvYAIHG1HkAu2wKhMl7pOcdj9Wv4+1M7Z81rfKhmGe6sk7VLyigpdLE/fpGL0SH8Ngc13jBlbj+DyXEKHW4+3riWfz37zrSSX5th4VNN68mMwz2VLXz59G72zSgd3lrWSInDR8jlYeFYL0+1HZ52f7HTwx1lC3j1wDCVS8P82ald05rzGAg+1bwel83GhuI6zoz1zwqol4crqPWGSY+bdPXGuPDM1DW9KuC8bW0VHouNe6pa+PaF/bPG2txbtQS/3UnQ4mGBr4TT0b5p99d5ClnsLydlWPC5bLz04vTjCOCOdRUUFntp74lcangjBNx1ay3hwPQOrNW+MNW+MIOJcXLSJOx0YzMmf/2FEJQVeSkKu0ilTRx2A6vlMg2lZsiU1PKtTJyTHZNzON8cbGOvMPiVTQ9T4b58gHglhCGwWObOVNpss9dNzqXRX8h3h7oIFBeziAyGlJz0hjmajvPxoiWXLma8HzaLweKGAo6cGbhUeQDgtFvmvQikaZqmaZr200TI+brQ/BRbs2aN3Ldv37s/ELVG7bmdF+kZmJyBuHJRMQvrw3zjB6dmPd7psLK0qZALnaMUhz1c7Brlwzua6B+K88rb7XNmOu/cWEPAaydrwg9ev0A6M32ESkNVkDUtJRgCjp4d4ti5QVYuLCIay3CuYxSrxeDh25vIWjLEzBQibuPNA91ExtO4nFbWLS3FWQD2lI0GMYR89d+J3/MrjKPWBAYSvVhf+RfE7Z+kN1BAaWQYef4wwuFSrUtzOaTDDeWNPB0bYkWwAmEIzkcHuRAdJOhwszhQgsd0Mx7N4PFacYk4Tm+ApDRxGFYiw334ei8QKGuA0hp6IsNEzAxnRvvpT0ap9ARp8Bfhytn57g8v8MB91RhW6IiNcma0D7dNzasstDkpszox3F4Gj3fRXwTHIz3EcmkWBUsp7xYUF4aJem04nQZdyTHORQfoio1S4vLRHCih0hPEZ3fyRs9Zqj1hehJjnBjpwWpYWBIqp8DpYXwgR0HAxYX2CHuPTO8obAjBw3c2Ul0aoDUyxLnIAOPZFL3xCAG7k0KnapqzJFRGLgeHLvSRsCa5kOxHCkm9oxhXxsnyuhKi8RQjY2me39VKNjcZLAc8djavqcRfKHDjZmg0STZnEvI7CPmdWCxXFpRdLfv62/jy6d1z3lfi8vNby3bgt7ve9+scPt3Py2/NXrP8+L0LKSu6ss620XSSztgoh4c7SeeyLAtXUO0NE3a+/ywoQDqT48iZAUYjKU6cHySbk5QWemhpLKCsyENx+Oq8jqZpmqZp2rUkhNgvpVxzLbatM6Hv06kLw9MCUICDJ/spKZj7RDOZymKzGkTG09RVBEmmcoyNp/D7bfN2pQXBf7xwlsfuXsjmVRXsO9HHWFR1D62t8FNfGWB4LMmLe9p4/N6FpDJZDp5S42B8Hjvb11XjDVg4cnKEkgI3lqBk86ZSRNYAK5j2DAGrE7wG55I+Grd9DNdLX8Hdcw4QULMYsePj7BFZquKSUYudwJKNEBmCVAI8QeK+YqKJMdYX1/InR14kZ0o+Vb+WTzauYyQV5y9PvMZD4dW8ubsPw4DP316IcfQNfJ1nAUmgpBbqlmHkO3uW+8OI6AgrgqW47bUk0kk8dhcu4eITDyzGbjVwxPrxOvzc0liLaZrIgy8jmtZg+FUw4vW4yX79ONsCToTNSXakF0ddCGuzi8L82tUFLieVjhCyCAwJbvfkmtYVBZU833mCI4MdPN64nlQuy9dP7+ZDDavZUF2Hw6p+feKJDMfODSKl6t562/oqQkGViaz1F2C3WOiJRwjZXTgMK8VuH9XeEFbDitWARRWFHD8/hKsriABspU4WNRXhctgYSEVIJHPcuqqC4bEEo5EUpYUebFZVzm232vE7Hfi973++5fvxzmDbvPf1JSJ0x8euShDaUBUiEk2z/2QfpilxOazsuKWaorD7irfhsztZZC9lUaj0fe/PXOw2C7Xlfl7t7GBNSymGIRgcSWAIQegKZoRqmqZpmqZ90P1UZEKFEHcDfwFYgK9IKf/oco+/0kxoPJnh3589SSSWnnXfnRtreOHN2SfmhhBsWFFGT3+MbM6kozfKjg3V+Ios7NrZw+Do9GY2QsAdt9Rw8sIwHreVpuoQXX3jOB1WhBBEYykWNxTyzvFekJLm2hClBR6i8QyZbA6f2460ZrGbJlkcjIs4P+g8xs83byRhZnFbbPzx0Zd4vGENRtTGmDPKD04e5YuLViESYyBAesP8l2Mv84mWrfzo6S7uXealvv1VLNEhaFgOB3YhNt2DWLgO4XDTOT7C3v5W3uq/iEUYbClrYlVhFX7hIhJLq+yqz0Emm8MaGwGZI+stwON674FUYjyGGYsgLFZswTC2KeNpcukcmY4xYns7McdTOJoLcS4sxD5Hd9f5pLJZ+pIR+hNRLEJQ4g5Q4vRNGwmSSGUYGkuQzUjcLuuPlemSUhKLZ5CoRlIT6znTuSw9w+McPzlM72AMn8fOaCTJ8oXFlFTYqQkXvOfXuhb+6tirHBuZf8bsF1q2sSR8dRrX5HImo9EU6Yxa43yjA/D5RGNphkYTZLImQZ+DUMB5qdOwpmmapmnaze5aZkI/8EGoEMICnAHuADqBd4DHpZQn5nvOlQahyXSWbz93msHRxKz77tpUqzp59k5vStPSWEBkPEVTTZhX9qqywodvb8IekAyOJNm1u5dkKpvfd9i4ogKnw0I44OTpV89TWeJldUspsXgaq8XA73Vw5EQfa1aVMDKaIuVOU2TaSDutZHNZfBYn+4bbWRQopdwXBGA8k6QrNkYkncRttVHuDhDKlyKOpuKcGevnqdbDDKVUhrfU5efhuhWYAxaOnhlmaVMRzZVu3MlRNaTeHUDMGMtgSkk0k0TAVcmAvR/Z8RQyncP2HrJlN5PhaJyh+Dh200E6ncPhtJAUaSr9AdzO6z+SYy6vdJ3mWxf2z3lf0O7i8y1bqfLqzqaapmmapmk/KXQQ+j4IIW4B/ruU8q78178LIKX8X/M9572sCT15YYjndl6cdftj9y7E7bRy4twQR84MYLEYLGsuxO+xE4ll2Hesl1Qmx60rK8jkchw40c+HHqhlLJYiGwMbVjwuG1abwOKSeKSTWCrD0EiSZCpLKOBkJJJk75Fe7t9eh8dux+2y4nHZGYxH6U+NkzFzBO0uanzvPVvWMT7CaCqOEBC2eyj3Bslkc5gmOOxX3rBGuzoSyQyRWJpMNofDZiXgc2C33Tw/hwuRQb56Zg99idmdgB9vWMPGknrsFl39r2mapmma9pNCB6HvgxDiEeBuKeXP5r/+JLBeSvn5GY/7eeDnAaqrq1e3tc2/xm2qRFKtB3zrcA+ZrInHZWPHhmpqKwJYLQZSSuKJDOPxDKcuDlJfFSIyniabUyV6uZzJ/hP9BLx2ljQVEvbb6M3ESOWyav2g1YWw2HA5VFfNbDZH7/A4w5EUFotBUdBJcejKGrJo2rWSymY5G+nnwGA7bw+0kTFzVHlCbC5tZEGgmFJP4EbvoqZpmqZpmvYe6MZE789cMxdmRd5Syn8A/gFUJvRKN+5y2ljTUkpTdYhUJofbacPnmSyRFELgcdvzHzZGoylCfidBvwO3UwWWNeV+LFPGYXjiJpZUFpfTits/vYTUarVQWRygsvhK91DTrj2H1UpzoJiQ3cXKgioy0sRndVDo9BJy/mSWQWuapmmapmnXxk9DENoJVE35uhLovpovIIQgeAVdL71uO1737DV8lhnzGN9Lp09Nu1nYLVYqvCEqvKEbvSuapmmapmnaTeynoVXjO0CTEKJOCGEHHgOevsH7pGmapmmapmma9lPpA58JlVJmhRCfB55HjWj5Jynl8Ru8W5qmaZqmaZqmaT+VPvBBKICU8ofAD2/0fmiapmmapmmapv20+2kox9U0TdM0TdM0TdNuEjoI1TRN0zRN0zRN064bHYRqmqZpmqZpmqZp140OQjVN0zRN0zRN07TrRgehmqZpmqZpmqZp2nWjg1BN0zRN0zRN0zTtutFBqKZpmqZpmqZpmnbdCCnljd6Hm44QIgqcvtH7oWlzKAQGb/ROaNo89PGp3az0sandzPTxqd2sFkgpfddiw9ZrsdEPgNNSyjU3eic0bSYhxD59bGo3K318ajcrfWxqNzN9fGo3KyHEvmu1bV2Oq2mapmmapmmapl03OgjVNE3TNE3TNE3TrhsdhM7tH270DmjaPPSxqd3M9PGp3az0sandzPTxqd2srtmxqRsTaZqmaZqmaZqmadeNzoRqmqZpmqZpmqZp140OQmcQQtwthDgthDgnhPjijd4f7YNNCFElhHhVCHFSCHFcCPFr+dvDQogXhRBn8/+Gpjznd/PH52khxF1Tbl8thDiav+8vhRDiRrwn7YNHCGERQhwUQjyb/1ofn9oNJ4QICiGeFEKcyv8NvUUfm9rNQgjxG/n/148JIb4hhHDq41O7EYQQ/ySE6BdCHJty21U7FoUQDiHEt/K37xVC1F7JfukgdAohhAX4v8A9wGLgcSHE4hu7V9oHXBb4T1LKRcAG4Ffyx9wXgZellE3Ay/mvyd/3GNAC3A38Tf64Bfhb4OeBpvzH3dfzjWgfaL8GnJzytT4+tZvBXwA/klIuBJajjlF9bGo3nBCiAvhVYI2UcglgQR1/+vjUboSvMvu4uZrH4ueAESllI/BnwB9fyU7pIHS6dcA5KeUFKWUa+Cbw0A3eJ+0DTErZI6U8kP88ijqJqkAdd1/LP+xrwIfynz8EfFNKmZJSXgTOAeuEEGWAX0q5R6qF3l+f8hxN+7EJISqB+4CvTLlZH5/aDSWE8ANbgH8EkFKmpZSj6GNTu3lYAZcQwgq4gW708andAFLKN4DhGTdfzWNx6raeBHZcScZeB6HTVQAdU77uzN+maddcvnxhJbAXKJFS9oAKVIHi/MPmO0Yr8p/PvF3T3q8/B/4zYE65TR+f2o1WDwwA/5wvFf+KEMKDPja1m4CUsgv4EtAO9ABjUsoX0MendvO4msfipedIKbPAGFDwbjugg9Dp5oradftg7ZoTQniB7wC/LqWMXO6hc9wmL3O7pv3YhBD3A/1Syv1X+pQ5btPHp3YtWIFVwN9KKVcCMfLlZPPQx6Z23eTX1z0E1AHlgEcI8YnLPWWO2/Txqd0IP86x+GMdpzoIna4TqJrydSWqfELTrhkhhA0VgP6blPK7+Zv78qUP5P/tz98+3zHamf985u2a9n7cCjwohGhFLU/YLoT4V/Txqd14nUCnlHJv/usnUUGpPja1m8HtwEUp5YCUMgN8F9iIPj61m8fVPBYvPSdffh5gdvnvLDoIne4doEkIUSeEsKMW5j59g/dJ+wDL18z/I3BSSvl/ptz1NPDp/OefBr4/5fbH8p3I6lALw9/Ol1JEhRAb8tv81JTnaNqPRUr5u1LKSillLerv4StSyk+gj0/tBpNS9gIdQogF+Zt2ACfQx6Z2c2gHNggh3Pnjageq54M+PrWbxdU8Fqdu6xHUucK7ZkKtV+d9fDBIKbNCiM8Dz6M6mf2TlPL4Dd4t7YPtVuCTwFEhxKH8bb8H/BHwbSHE51D/mX0UQEp5XAjxbdTJVhb4FSllLv+8X0J1QHMBz+U/NO1a0MendjP4AvBv+YvGF4DPoC6u62NTu6GklHuFEE8CB1DH20HgHwAv+vjUrjMhxDeAbUChEKIT+G9c3f/H/xH4FyHEOVQG9LEr2q8rCFQ1TdM0TdM0TdM07arQ5biapmmapmmapmnadaODUE3TNE3TNE3TNO260UGopmmapmmapmmadt3oIFTTNE3TNE3TNE27bnQQqmmapmmapmmapl03OgjVNE3TtPdJCPEzQgg55aN2yn1fnXJ763Xer20z9mvb9Xx9TdM0TZuLDkI1TdO0DzQhxMNCiGeFED1CiLQQIiqEaBdCvCWE+LIQ4hdu4L59dUaQOPFhCiEiQohDQog/EUJU3qh91DRN07SrzXqjd0DTNE3TrhUhxFeAz8242YYaGl8FrEcN6f7767xr70YAPmB5/uMXhBD3SynfeI/bOQ/89oyvNU3TNO2G0kGopmma9oEkhLiT6QHoQeB5YAwIA8uArTdg1y7n/wNGAA9wB3Br/nYf8A0hRJ2UMv1uGxFC+KSUUSllB/Cla7a3mqZpmvZj0EGopmma9kF195TPzwPrpJTZqQ8QQniB22Y+UQhRAHweuB9oBlxAP/AG8GdSyneu0T5/WUrZmt+H/wHsZDIQLc9//mp+zenFKc/7DCq4/m1gKSrTK/JrQF+d8rjbpJSvTX1BIcQm4OeBjUBZ/uYe4G3gT6WU+6c8VqAyx58CVgMFQBw4Avwr8E8zv8eapmmaNpMOQjVN07QPKsuUz4NAHXB26gOklOPAM1NvE0KsAZ4FSmZsrwJ4HHhUCPHrUsq/vto7PGPfpBBiD5NBKEwGiTN9Ftj8Xl9DCPHnwK/NcVdD/uNtYH/+sQ7gO8B9Mx4byL/2ZuBxIcR9Usr4e90XTdM07aeHDkI1TdO0D6oDUz4vAE4LIY4C+1CluTullIenPkEI4UMFpRMBaB/wDWAYuB3Yggpu/0IIcUhKueta7Xw+67hxxs098zx8MzAEfAuVsV17Bdv/daYHoPH881uBGqZnkgH+lMkA1ASeBI7mH/tJwAFsA/4clVnVNE3TtDnpIFTTNE37oPo34JdQzYdANftZlv9QNwhxGviilPKp/E2fBkrzn6eAtfl1lQgh/iewJ789A/gt4GoHoT8nhBgB3MCdTA9Ce4Dd8zwvAqySUrZfyYsIIQzgizOev1pKeW7KY+xAcf7zEDC1i/DvSin/95THHgD+Jv/lZ4UQvyelHLySfdE0TdN++uggVNM0TftAklJmhRA7UOskPwfMNeZkAfBdIcRDUspnmF7S6gDaVUJyTpuu5v7m/d48t48DH79MU6KvX2kAmreA6eXG/zQ1AAXIv1Zn/ssNTD9n+GMhxB/Ps21L/vHPvof90TRN036K6DmhmqZp2geWlDImpfzvUsoqVOD1KdQ4lv4pDxPAb+Y/D7+HzYfzGcVrZRxV7vp/gBYp5auXeeyp97jtme/z4pyPmv/x76boPT5e0zRN+ymiM6GapmnaTwUp5RngDPAvQojfRgVu5fm7a/L/Dk95SgT4f99ts1d1J6FuojvuexR7j48fnvF13Xt8/JdR38v57HuP+6Npmqb9FNFBqKZpmvaBJIT4NGre5r9LKUdn3J0Cppa2DuX/3QU8mv/cD+yfKwMphFgCBKWUVzsIvV5Oo5ouTZTkflYI8VdSygsTDxBCWIESKWUX8BaQZfK8wSGlnDV/VAgRBO6RUh69ljuvaZqm/WTTQaimaZr2QVUH/Dfgz4UQu1EdcQcAH6rLa+2Ux/4w/+/XgP+HyeDsOSHE94ATqLLdWtTIlGbgD7j6jYmuCymlKYT4I+DP8jf5gSNCiG8CbagM8d3AXwB/LqUcEUJ8GdXoCeBTQohFwEtAFNXAaCWqkVI3qqOwpmmaps1JB6GapmnaB50NNTpk2zz37wO+BCCljAghHgCeRnXJdQCPXftdvP6klH8uhKgDfjV/kwfVwGk+vwlUMzmmZS1XMApG0zRN02bSQaimaZr2QfXnwGFU8LkWFVQWA3ZgBDgOfAf48tSus1LKd4QQLais3/3AQsALDKKyfPtRs0Rfuk7v45qRUv6aEOJJ1FzPjUyuke0D9jIl0yulTAL3CyEeRjV4WoNqQJREfV/OAc+hvjeapmmaNi/xk7ucRdM0TdM0TdM0TftJo0e0aJqmaZqmaZqmadeNDkI1TdM0TdM0TdO060YHoZqmaZqmaZqmadp1o4NQTdM0TdM0TdM07brRQaimaZqmaZqmaZp23eggVNM0TdM0TdM0TbtudBCqaZqmaZqmaZqmXTc6CNU0TdM0TdM0TdOuGx2EapqmaZqmaZqmadeNDkI1TdM0TdM0TdO06+b/B4ilNJNjb1qfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (15, 6))\n",
    "\n",
    "\n",
    "o=sns.regplot(data = df , y = \"SellPrice\", x = \"Maximum retail price\",scatter= False)\n",
    "\n",
    "o=sns.scatterplot(data = df , y = \"SellPrice\", x = \"Maximum retail price\", palette=\"Set2\",\n",
    "                  hue=\"Category\",legend=\"full\",size= \"Category\")\n",
    "plt.xlim(0, 10000)\n",
    "o.set_xlabel(\"SellPrice\", fontsize = 20, weight = \"bold\")\n",
    "o.set_ylabel(\"Maximum retail price\", fontsize = 20, weight = \"bold\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50.0    11272\n",
       "30.0     2321\n",
       "60.0     2187\n",
       "40.0     1884\n",
       "20.0     1473\n",
       "55.0      884\n",
       "65.0      494\n",
       "70.0      401\n",
       "10.0      297\n",
       "35.0      288\n",
       "Name: Discount Percentage, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_for_category = df['Discount Percentage'].value_counts()\n",
    "max_for_category.nlargest(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What are the most frequent discount percentages?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig = plt.figure(figsize = (15, 6))\n",
    " \n",
    "df['Discount Percentage'].value_counts().head(10).plot(kind='bar')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}