{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "85affaea",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as py\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3140e140",
   "metadata": {},
   "source": [
    "Load Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7bf0e3bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel('./VideoGameSales_DataClean.xlsx')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3bb1a91",
   "metadata": {},
   "source": [
    "Data Understanding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df23716d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.DataFrame'>\n",
      "RangeIndex: 16598 entries, 0 to 16597\n",
      "Data columns (total 11 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   Rank          16598 non-null  int64  \n",
      " 1   Name          16598 non-null  object \n",
      " 2   Platform      16598 non-null  object \n",
      " 3   Year          16327 non-null  float64\n",
      " 4   Genre         16598 non-null  str    \n",
      " 5   Publisher     16540 non-null  str    \n",
      " 6   NA_Sales      16598 non-null  float64\n",
      " 7   EU_Sales      16598 non-null  float64\n",
      " 8   JP_Sales      16598 non-null  float64\n",
      " 9   Other_Sales   16598 non-null  float64\n",
      " 10  Global_Sales  16598 non-null  float64\n",
      "dtypes: float64(6), int64(1), object(2), str(2)\n",
      "memory usage: 1.7+ MB\n"
     ]
    },
    {
     "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>Rank</th>\n",
       "      <th>Year</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>16598.000000</td>\n",
       "      <td>16327.000000</td>\n",
       "      <td>16598.000000</td>\n",
       "      <td>16598.000000</td>\n",
       "      <td>16598.000000</td>\n",
       "      <td>16598.000000</td>\n",
       "      <td>16598.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8300.605254</td>\n",
       "      <td>2006.406443</td>\n",
       "      <td>0.264667</td>\n",
       "      <td>0.146652</td>\n",
       "      <td>0.077782</td>\n",
       "      <td>0.048063</td>\n",
       "      <td>0.537441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4791.853933</td>\n",
       "      <td>5.828981</td>\n",
       "      <td>0.816683</td>\n",
       "      <td>0.505351</td>\n",
       "      <td>0.309291</td>\n",
       "      <td>0.188588</td>\n",
       "      <td>1.555028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1980.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4151.250000</td>\n",
       "      <td>2003.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.060000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8300.500000</td>\n",
       "      <td>2007.000000</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.170000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>12449.750000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.470000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>16600.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>41.490000</td>\n",
       "      <td>29.020000</td>\n",
       "      <td>10.220000</td>\n",
       "      <td>10.570000</td>\n",
       "      <td>82.740000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Rank          Year      NA_Sales      EU_Sales      JP_Sales  \\\n",
       "count  16598.000000  16327.000000  16598.000000  16598.000000  16598.000000   \n",
       "mean    8300.605254   2006.406443      0.264667      0.146652      0.077782   \n",
       "std     4791.853933      5.828981      0.816683      0.505351      0.309291   \n",
       "min        1.000000   1980.000000      0.000000      0.000000      0.000000   \n",
       "25%     4151.250000   2003.000000      0.000000      0.000000      0.000000   \n",
       "50%     8300.500000   2007.000000      0.080000      0.020000      0.000000   \n",
       "75%    12449.750000   2010.000000      0.240000      0.110000      0.040000   \n",
       "max    16600.000000   2020.000000     41.490000     29.020000     10.220000   \n",
       "\n",
       "        Other_Sales  Global_Sales  \n",
       "count  16598.000000  16598.000000  \n",
       "mean       0.048063      0.537441  \n",
       "std        0.188588      1.555028  \n",
       "min        0.000000      0.010000  \n",
       "25%        0.000000      0.060000  \n",
       "50%        0.010000      0.170000  \n",
       "75%        0.040000      0.470000  \n",
       "max       10.570000     82.740000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape\n",
    "df.info()\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "036bdbe1",
   "metadata": {},
   "source": [
    "Data Quality Check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bfbcd109",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rank              0\n",
       "Name              0\n",
       "Platform          0\n",
       "Year            271\n",
       "Genre             0\n",
       "Publisher        58\n",
       "NA_Sales          0\n",
       "EU_Sales          0\n",
       "JP_Sales          0\n",
       "Other_Sales       0\n",
       "Global_Sales      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a2c3f0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(0.020000000000000462)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['check_global'] = (\n",
    "    df['NA_Sales'] +\n",
    "    df['EU_Sales'] +\n",
    "    df['JP_Sales'] +\n",
    "    df['Other_Sales']\n",
    ")\n",
    "\n",
    "(df['check_global'] - df['Global_Sales']).abs().max()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f434783a",
   "metadata": {},
   "source": [
    "Error maksimal cuma ~0.02\n",
    "\n",
    "Global_Sales memang jumlah semua region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ced21354",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Missing values</th>\n",
       "      <th>Missing values percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rank</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Platform</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <td>271</td>\n",
       "      <td>1.632727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genre</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Publisher</th>\n",
       "      <td>58</td>\n",
       "      <td>0.349440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NA_Sales</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EU_Sales</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JP_Sales</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Sales</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Global_Sales</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>check_global</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Missing values  Missing values percentage\n",
       "Rank                       0                   0.000000\n",
       "Name                       0                   0.000000\n",
       "Platform                   0                   0.000000\n",
       "Year                     271                   1.632727\n",
       "Genre                      0                   0.000000\n",
       "Publisher                 58                   0.349440\n",
       "NA_Sales                   0                   0.000000\n",
       "EU_Sales                   0                   0.000000\n",
       "JP_Sales                   0                   0.000000\n",
       "Other_Sales                0                   0.000000\n",
       "Global_Sales               0                   0.000000\n",
       "check_global               0                   0.000000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame({\n",
    "    \"Missing values\" : df.isnull().sum(),\n",
    "    \"Missing values percentage\" : df.isnull().sum() / len(df) * 100\n",
    "})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c29fbc3",
   "metadata": {},
   "source": [
    "Karena ada yang NULL untuk Year dan Publisher maka harus di data cleaning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "04133eec",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.dropna(subset=['Year'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e5504cf",
   "metadata": {},
   "source": [
    "Publisher ganti Unknown karena masih penting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9a8b9bf3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Publisher'] = df['Publisher'].fillna('Unknown')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63f56817",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rank            0\n",
       "Name            0\n",
       "Platform        0\n",
       "Year            0\n",
       "Genre           0\n",
       "Publisher       0\n",
       "NA_Sales        0\n",
       "EU_Sales        0\n",
       "JP_Sales        0\n",
       "Other_Sales     0\n",
       "Global_Sales    0\n",
       "check_global    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "32a94051",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Missing values</th>\n",
       "      <th>Missing values percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rank</th>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>Name</th>\n",
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       "      <th>Year</th>\n",
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       "      <th>Genre</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Publisher</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NA_Sales</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EU_Sales</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JP_Sales</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Sales</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Global_Sales</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>check_global</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Missing values  Missing values percentage\n",
       "Rank                       0                        0.0\n",
       "Name                       0                        0.0\n",
       "Platform                   0                        0.0\n",
       "Year                       0                        0.0\n",
       "Genre                      0                        0.0\n",
       "Publisher                  0                        0.0\n",
       "NA_Sales                   0                        0.0\n",
       "EU_Sales                   0                        0.0\n",
       "JP_Sales                   0                        0.0\n",
       "Other_Sales                0                        0.0\n",
       "Global_Sales               0                        0.0\n",
       "check_global               0                        0.0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame({\n",
    "    \"Missing values\" : df.isnull().sum(),\n",
    "    \"Missing values percentage\" : df.isnull().sum() / len(df) * 100\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5f8c19f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.DataFrame'>\n",
      "Index: 16327 entries, 0 to 16597\n",
      "Data columns (total 12 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   Rank          16327 non-null  int64  \n",
      " 1   Name          16327 non-null  object \n",
      " 2   Platform      16327 non-null  object \n",
      " 3   Year          16327 non-null  float64\n",
      " 4   Genre         16327 non-null  str    \n",
      " 5   Publisher     16327 non-null  str    \n",
      " 6   NA_Sales      16327 non-null  float64\n",
      " 7   EU_Sales      16327 non-null  float64\n",
      " 8   JP_Sales      16327 non-null  float64\n",
      " 9   Other_Sales   16327 non-null  float64\n",
      " 10  Global_Sales  16327 non-null  float64\n",
      " 11  check_global  16327 non-null  float64\n",
      "dtypes: float64(7), int64(1), object(2), str(2)\n",
      "memory usage: 1.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4836daa",
   "metadata": {},
   "source": [
    "Correcting Data Types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef653c3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Year'] = df['Year'].astype('Int64')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32b8b3df",
   "metadata": {},
   "source": [
    "EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc7057fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_eda = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "97787d94",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.DataFrame'>\n",
      "Index: 16327 entries, 0 to 16597\n",
      "Data columns (total 12 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   Rank          16327 non-null  int64  \n",
      " 1   Name          16327 non-null  object \n",
      " 2   Platform      16327 non-null  object \n",
      " 3   Year          16327 non-null  Int64  \n",
      " 4   Genre         16327 non-null  str    \n",
      " 5   Publisher     16327 non-null  str    \n",
      " 6   NA_Sales      16327 non-null  float64\n",
      " 7   EU_Sales      16327 non-null  float64\n",
      " 8   JP_Sales      16327 non-null  float64\n",
      " 9   Other_Sales   16327 non-null  float64\n",
      " 10  Global_Sales  16327 non-null  float64\n",
      " 11  check_global  16327 non-null  float64\n",
      "dtypes: Int64(1), float64(6), int64(1), object(2), str(2)\n",
      "memory usage: 2.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df_eda.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f5f206f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "drop_cols = ['Rank']\n",
    "\n",
    "df_eda.drop(columns=drop_cols, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ede14b9c",
   "metadata": {},
   "source": [
    "#Cek Duplicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ff1bb93d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(0)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13dc0667",
   "metadata": {},
   "source": [
    "#Check Outlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "65692b56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    16327.000000\n",
       "mean         0.540232\n",
       "std          1.565732\n",
       "min          0.010000\n",
       "25%          0.060000\n",
       "50%          0.170000\n",
       "75%          0.480000\n",
       "max         82.740000\n",
       "Name: Global_Sales, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda['Global_Sales'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbd6d0ec",
   "metadata": {},
   "source": [
    "Rata-rata penjualan terdorong naik oleh sejumlah kecil game dengan penjualan sangat tinggi."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff35827a",
   "metadata": {},
   "source": [
    "Pilih global sales karena itu variabel yang paling relevan"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55fc848d",
   "metadata": {},
   "source": [
    "#Cek Inconsistencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8af5a65b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Wii', 'NES', 'GB', 'DS', 'X360', 'PS3', 'PS2', 'SNES', 'GBA',\n",
       "       '3DS', 'PS4', 'N64', 'PS', 'XB', 'PC', 2600, 'PSP', 'XOne', 'GC',\n",
       "       'WiiU', 'GEN', 'DC', 'PSV', 'SAT', 'SCD', 'WS', 'NG', 'TG16',\n",
       "       '3DO', 'GG', 'PCFX'], dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda['Platform'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3a1dc84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ArrowStringArray>\n",
       "[      'Sports',     'Platform',       'Racing', 'Role-Playing',\n",
       "       'Puzzle',         'Misc',      'Shooter',   'Simulation',\n",
       "       'Action',     'Fighting',    'Adventure',     'Strategy']\n",
       "Length: 12, dtype: str"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda['Genre'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6fedfd01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ArrowStringArray>\n",
       "[                   'Nintendo',      'Microsoft Game Studios',\n",
       "        'Take-Two Interactive', 'Sony Computer Entertainment',\n",
       "                  'Activision',                     'Ubisoft',\n",
       "          'Bethesda Softworks',             'Electronic Arts',\n",
       "                        'Sega',                  'SquareSoft',\n",
       " ...\n",
       "                   'Nitroplus',         'Paradox Development',\n",
       "                     'Otomate',                   'Ongakukan',\n",
       "                    'Commseed',                'Inti Creates',\n",
       "                      'Takuyo',          'Interchannel-Holon',\n",
       "                  'Rain Games',           'UIG Entertainment']\n",
       "Length: 576, dtype: str"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda['Publisher'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8120fc8",
   "metadata": {},
   "source": [
    "Genre, Platform Konsisten, tapi Publisher tidak bisa di tentukan karena ada 576 Publisher."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2f7e7274",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ll2TUqFHeMrr95ptvyvjx4+W7776TggULSsuWLSU5OTmYpw4AAEJEUDsAt2nTRmJjY+Wdd97x7mvfvr2pgdG1VfTUypUrJ/3795cnnnjCHNeOQPqYSZMmSadOnc56zpSUFHPz7UAUFxfH2kwAAFjEmrWZmjZtKosXL5atW7ea7XXr1sny5cvllltu8c7mqUMvtWnJoW+scePGZj6JjIwYMcKUcW4aZAAAQPgK6mimgQMHmuRVrVo1MzJB+9AMHz7cLBannDkktCbGl277zi/hKz4+Xvr163dWzQwAAAhPQQ0zH374oZl+fPr06VKzZk1Zu3at9OnTxzQtde3aNVvPGR0dbW4AAMAdghpmnnzySVM74/R9qV27tuzYscM0FWmY0TVY1N69e81oJodu161bN2jnDQAAQkdQ+8zomiqRkf6noM1NzgJyOmRbA432q/FtNtJRTU2aNMn18wUAAKEnqDUzbdu2NX1kypcvb5qZ1qxZI6+99po88MAD5nhERIRpdkpISJCqVauacKPz0mgzVLt27YJ56gAAIEQENczofDIaTnQV3H379pmQ8sgjj5hJ8hwDBgyQEydOSPfu3eXw4cNy9dVXy/z58yUmJiaYpw4AAEIEC00CAICQY808MwAAABeKMAMAAKxGmAEAAFYjzAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALAaYQYAAFiNMAMAAKxGmAEAAFYjzAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALAaYQYAAFiNMAMAAKxGmAEAAFYjzAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqQQ8zf/zxh3Tp0kVKliwp+fPnl9q1a8uPP/7oPe7xeGTw4MFStmxZc7xFixaybdu2oJ4zAAAIHUENM4cOHZJmzZpJ3rx55fPPP5dNmzbJq6++KsWLF/eWeemll+TNN9+U8ePHy3fffScFCxaUli1bSnJycjBPHQAAhIgIj1Z9BMnAgQNlxYoV8vXXX2d4XE+tXLly0r9/f3niiSfMviNHjkhsbKxMmjRJOnXqdN7XOHr0qBQtWtQ8rkiRIgF/DwAAIPCy8v0d1JqZ2bNnS8OGDeWuu+6S0qVLS7169WTChAne40lJSbJnzx7TtOTQN9a4cWNZuXJlhs+ZkpJiPgDfGwAACF9BDTPbt2+XcePGSdWqVWXBggXSo0cPeeyxx2Ty5MnmuAYZpTUxvnTbOZbeiBEjTOBxbnFxcbnwTgAAgCvDTFpamtSvX19eeOEFUyvTvXt3efjhh03/mOyKj483VVLObdeuXQE9ZwAAEFqCGmZ0hFKNGjX89lWvXl127txpfi5Tpoy537t3r18Z3XaOpRcdHW3a1nxvAAAgfAU1zOhIpi1btvjt27p1q1SoUMH8XKlSJRNaFi9e7D2ufWB0VFOTJk1y/XwBAEDoyRPMF+/bt680bdrUNDN16NBBvv/+e3nrrbfMTUVEREifPn0kISHB9KvRcPPss8+aEU7t2rUL5qkDAIAQEdQw06hRI/nkk09MP5dhw4aZsDJy5Ejp3Lmzt8yAAQPkxIkTpj/N4cOH5eqrr5b58+dLTExMME8dAACEiKDOM5MbmGcGAAD7WDPPDAAAwIUizAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALAaYQYAAFiNMAMAAKxGmAEAAFYjzAAAAKsRZgAAgPvCzOrVq2XDhg3e7VmzZkm7du3k6aefltTU1ECeHwAAQODDzCOPPCJbt241P2/fvl06deokBQoUkBkzZsiAAQOy85QAAAC5F2Y0yNStW9f8rAGmefPmMn36dJk0aZJ8/PHH2TsTAACA3AozHo9H0tLSzM+LFi2SVq1amZ/j4uLkwIED2XlKAACA3AszDRs2lISEBJk6daosXbpUWrdubfYnJSVJbGxs9s4EAAAgt8LMyJEjTSfg3r17yzPPPCNVqlQx+z/66CNp2rRpdp4SAAAgWyI82mYUIMnJyRIVFSV58+aVUHH06FEpWrSoHDlyRIoUKRLs0wEAAAH+/s72PDOHDx+Wt99+W+Lj4+Wvv/4y+zZt2iT79u3L7lMCAABkWZ6sP0Rk/fr1csMNN0ixYsXkt99+k4cfflhKlCghM2fOlJ07d8qUKVOy87QAAABZlq2amX79+km3bt1k27ZtEhMT492vo5qWLVuWnacEAADIvTDzww8/mInz0rv44otlz5492TsTAACA3Aoz0dHRpmNORpPpXXTRRdl5SgAAgNwLM7feeqsMGzZMTp06ZbYjIiJMX5mnnnpK2rdvn70zAQAAyK0w8+qrr8rx48eldOnS8vfff8s111xj5popXLiwDB8+PDtPCQAAkHujmXTc98KFC2X58uVmZJMGm/r160uLFi34NQAAAHsnzQtFTJoHAEB4f39numbmzTffzPQJPPbYY5kuCwAAkCs1M5UqVcrcE0ZEyPbt2yVUUDMDAIB9cqRmRlfEBgAACDXZXpsJAADA2tFM6vfff5fZs2eb+WVSU1P9jr322muBODcAAICcCTOLFy82E+dVrlxZNm/eLLVq1TILTmr3Gx2iDQAAENLNTPHx8fLEE0/Ihg0bzEKTH3/8sezatctMnnfXXXcF/iwBAAACGWZ+/vlnue+++8zPefLkMbMAFypUyCxx8OKLL2bnKQEAAHIvzBQsWNDbT6Zs2bLy66+/eo8dOHAge2cCAACQW31mrrrqKrOUQfXq1aVVq1bSv39/0+Q0c+ZMcwwAACCkw4yOVtL1mNTQoUPNzx988IFUrVqVkUwAACBXsTYTAABwxwzA55KcnGxqZU6ePCk33nijVKlS5UKfEgAAINOyFGb69esnp06dklGjRplt7QTcpEkT2bhxoxQoUECefPJJWbhwodkHAAAQcqOZvvjiC1P74pg2bZrs2LFDtm3bJocOHTJzzCQkJOTEeQIAAFx4mNGlC2rUqOEXbu68806pUKGCWS378ccflzVr1mTlKQEAAHIvzERGRpolCxzffvut31DsYsWKmRoaAACAkAwzOq/MnDlzzM/aT0Zraq677jrvcW1yio2NDfxZAgAABKID8IABA6RTp04yd+5cE2Z0wrxKlSp5j8+bN0+uvPLKrDwlAABA7tXM3H777Saw1KlTR/r27WuGZPvSEU09e/a8sDMCAAAIlUnzNNjo4pOlSpUSGybdAQAAoSEr39/ZWmgysxITE83JAAAA5JQcDTM5WOkDAACQ82EGAAAgpxFmAACA1S54oUkACIYzZ87I+vXr5a+//pISJUqYUZZRUVH8MgAXIswAsM6yZctk7NixsmfPHu++MmXKmBGUzZs3D+q5AQizZqYuXbpkaTj0f/7zH7PGU58+fbz7kpOTpVevXlKyZEkpVKiQtG/fXvbu3ZtDZwzAhiAzZMgQqVy5sowZM8bMfaX3uq379TgAd8n0PDNanZtZWt2bVT/88IN06NDBhB9dImHkyJFmf48ePcyMw5MmTTLjzXv37m3WiFqxYkWmnpd5ZoDwalrq3LmzCS4JCQnmb4EjLS1NBg0aJElJSWZaCJqcALtl5fs7081MdevWNbUm58o+zjG91z84WXH8+HHzB2rChAnmD5RD38A777wj06dPl+uvv97smzhxolkjKv0ilwDCn15UadPSs88+6xdklG7r3xGtydVy9erVC9p5AshdmQ4zerWTU/SPT+vWraVFixZ+YWbVqlVy6tQps99RrVo1KV++vKxcuTLDMJOSkmJuDibtA8KHdvZVvmvC+XL2O+UAuEOmw0yFChVy5ATef/99Wb16tWlmSk+vwPLlyyfFihXz268rc/t2/PM1YsQIGTp0aI6cK4Dg0lFLzsVVzZo1z3nR5ZQD4A4XNJpp06ZNsnPnTklNTfXbf+utt2bq8bt27ZLHH39cFi5cKDExMRII8fHx0q9fP7+ambi4uIA8N4Dg0v54Ompp2rRpGfaZ0f1ly5bNVr89AC4LM9u3bzcraG/YsMGvH43+rDLbZ0abkfbt2yf169f37tPH6miE0aNHy4IFC0xQOnz4sF/tjI5m0j9oGYmOjjY3AOFHO/Xq8GsdtaSdfbWPjDYtaY2MBhltftaaWTr/Au6SrVWz27Zta/5YvP322+YPyffffy8HDx6U/v37yyuvvCL/+te/MvU8x44dkx07dvjt69atm+kX89RTT5kalYsuukjee+89MyRbbdmyxRw/V5+Z9BjNBLhjnhmtkdHRj8wzA4SHHBnN5EuDxJdffimlSpUy1bx6u/rqq01/lccee0zWrFmTqecpXLiw1KpVy29fwYIFzZwyzv4HH3zQNBtpG7i+mUcffVSaNGnCSCbAxTSwNGvWjBmAAWQ/zGhTkAYRpYFm9+7dcvnll5tOwlpzEkivv/66CUtaM6OjlFq2bGmuyAC4m9YOM/waQLbDjNaarFu3zjQxNW7cWF566SUz6uitt94yk1ldiK+++spvWzsG6+yeegMAAAhImNGOdydOnDA/Dxs2TNq0aWP6yWjz0AcffJCdpwQAAMi9DsAZ0Umqihcv7h3RFCroAAwAgH1yvANw+rliFHO5AAAAa1bNPn36tFkbRRNTxYoVzU1/1uYnXX4AAAAgt2SrZkaHR8+cOdN0/NVh0s5w7eeee87MNzNu3LhAnycAAEDg+sxoLYyuqXTLLbf47Z83b57cfffdpn0rVNBnBghPOkWEro6t/fV0HipdwoCZf4HwkeN9ZnS5AG1aSk+HausQbQDI7RmAdYkTXeqAGYAB98lWn5nevXvL888/byaxc+jPw4cPN8cAICeDjK7NpHNa6fxTWiOs97qt+/U4AHfJdDPTHXfc4be9aNEiU0NzxRVXmG2dRE8XhbzhhhtMf5pQQTMTEF5NS7q4pAaXjFbN1kEIuuhkYmIiTU6A5XKkmUmf0Jez8KODodkAcpr2kdGmJR1N6RtklG5r0OnVq5cpx1IHgHtkOsxMnDgxZ88EAM5DO/s6/fMy4ux3ygFwh2z1mXHs379fli9fbm76MwDkJB21pLQpKSPOfqccAHfIVpjRdZkeeOABKVu2rBk5oLdy5crJgw8+KCdPngz8WQKAiBl+raOWpk2bZvrI+NJt3a9/l7QcAPfIVpjp16+fLF26VObMmSOHDx82t1mzZpl9/fv3D/xZAoCI6dSrw691kk7t7Ltx40ZzAaX3uq37e/ToQedfwGWyNWleqVKl5KOPPpJrr73Wb/+SJUukQ4cOIdXkxGgmwB3zzGiNjAYZ5pkBwkOOT5qnV0KxsbFn7S9dujTNTABynAaWZs2aMQMwgOw3M+l6TDo5VXJysnff33//LUOHDvWu1QQAAJAbslUz88Ybb0jLli3lkksu8Zs0LyYmRhYsWBDocwQAPyxnAOCC+8w4TU06cmDz5s1mu3r16mbCqvz580sooc8MEJ7LGWgtsP7N0blldEi2/j3SDsBaQ0y/GcB+Wfn+znaYsQVhBggfLGcAuMfRnOgAPHv27EyfwK233prpsgCQWSxnAOCCwky7du0yVS4iIsJcPQFAoLGcAYALGs2ks2tm5kaQAZBTWM4AwAWPZtKh2IsWLZI2bdqY7fj4eElJSfnfk+XJI8OGDTOjmgAgJ5cz0I6+P/30k6mt0ZBTq1YtljMAXCpLYWbSpEkyd+5cb5gZPXq01KxZ0zuCSUc26R8aXe4AAHJqOYPBgwebv0O+F1PR0dFmWy+otBwA98jSpHl6NdS9e3e/fdOnTzfLGOjt5ZdflhkzZgT6HAHgrL55WdkPILxlqWbml19+kdq1a3u3tTkpMvJ/eejKK6+UXr16BfYMAeD/aJ88XZNJ55jJqJlJ558ZN26cWeqA2hnAPbJUM6OrY/tW6+qCkhUrVvRuawdg3+MAkBNDs3WyPN8LKaXbuv/PP/805QC4R5ZqZnT5Ar0SuvzyyzM8rn9AtAwA5OTQ7N27d5u+MXv37vUe08VvH3roIb9yANwhSzUzrVq1Mh3vfBeYTL/QZOvWrQN5fgBw1tDs4cOHm5piX7qt+33LAXCHLC1noFdBdevWlXz58knv3r3lsssuM/u3bNliRjadPn1a1qxZY66QQgXLGQDhIzU1VW6++WbTpK39Zrp06eJdmykxMdGszaTNTfPnzzd/pwDYK0eWM1AaUr755hvp0aOHDBw4UJwcpCMIbrzxRtMxL5SCDIDwsmHDBhNk/oke13INGjTItfMCEFxZCjNKr4L0qkfbpHV0k6pSpQrVugBy3Nq1a839/fffb/4O+Y6eLFu2rHTt2lUmT55syhFmAPfIcphxaJu0DsUGgNymU0Tcc889MmvWLNMZuFy5cnLbbbeZGhkA7pPtMAMAuU377E2dOlXeeOMNMw2E72imjz76yMwC7JQD4B6EGQDW0JBSoEAB2blz51mz/e7bt8/04ytYsCBhBnCZLA3NBoBQkX4gZhYGZgIIM4QZANbQjr0nT540P6cfeu00MZ04ccLbURiAO9DMBMAaq1evNvc1a9aUkSNHnrU20+OPPy6bNm0y5RjNBLgHYQaANbRfjLrhhhskb968Uq9ePb/jul/DjFMOgDvQzATAGqVLlzb3ixYtOmvyPN1evHixXzkA7kCYAWCN+vXrm3utfXnmmWdk48aNpg+N3uu27vctB8AdaGYCYNXQ7GLFiplFJVetWmXWYnI4HYKLFy/O0GzAZaiZAWCNqKgo6devn5ljJv08M86+vn37mnIA3IMwA8AqzZs3l6FDh5oaGF86okn363EA7hLhCfOZprKyhDgAe5w5c0bWr1/vHZpdp04damQAl35/02cGgJW0KSn90GwA7kQzEwAAsBphBgAAWI0wAwAArEafGQBWogMwAAdhBoB1li1bJmPHjpU9e/Z495UpU0Z69uzJ0GzAhWhmAmBdkBkyZIhUrlxZxowZI/PmzTP3uq379TgAd2GeGQBWNS117tzZBJeEhASJjIz0W2hy0KBBkpSUJImJicw5A7honhlqZgBYQyfJ06YlDTS+QUbptu7/888/TTkA7kGfGQDW0Nl+VaVKlTLsAKz7fcsBcAfCDABraGhRn3zyicyZM+esDsBt27b1KwfAHQgzAKyhtS/FihWTCRMmyFVXXSUdO3aU6OhoSUlJke+++87s1+NaDoB7EGYAWGn16tXy7bfferfz5ctn7iMiIoJ4VgCCgQ7AAKyhfWQOHz5sfk5NTfU75mwfOnSIDsCAy1AzA8AaBw4c8P6szUyNGzeWmJgYSU5ONs1MTk2NbzkA4Y+aGQDWcEYpXXrppfL8889LxYoVTfOS3uu2zj/jWw6AO1AzA8Aax44dM/fa4bdLly6yd+9e77HY2FjJmzevXzkA7kCYAWANp3Pv77//flZH33379onH4/ErB8AdaGYCYA3fIddOcMlom6HZgLtQMwPASjqfzE033STlypWT3bt3yxdffOEd6QTAXQgzAKyxdu1a788nTpyQDz/80Lvt9JdxyjVq1CjXzw9AcNDMBMAa2i9G1a9f36zN5Eu369Wr51cOgDsQZgBYo3Tp0t7Zf/Pk8a9Y1u01a9b4lQPgDoQZANaoW7eu9+fTp0/7HfPd9i0HIPwFNcyMGDHCtGsXLlzYXEm1a9dOtmzZ4ldGZ/bs1auXlCxZUgoVKiTt27f3m1sCgDv902gmAO4S1DCzdOlSE1R0CvKFCxfKqVOnzOgE7djn6Nu3r8yZM0dmzJhhyuuohTvuuCOYpw0gBDoA+3b4Tb/tWw5A+AvqaKb58+f7bU+aNMnU0KxatUqaN28uR44ckXfeeUemT58u119/vSkzceJEqV69uglAujYLAPdwOva2atXK9JvZs2eP95jW3mrz0ueff04HYMBlQmpotoYXVaJECXOvoUZra1q0aOEtU61aNSlfvrysXLkywzCj05zrzXH06NFcOXcAOc/p2Pvbb7/J1KlT5aeffjLrMOnfjFq1asnjjz/uVw6AO4RMB+C0tDTp06ePNGvWzPxRUnrVpYvI6eRYvnQNFt8rsvT9cIoWLeq9xcXF5cr5A8h5OiRbbdq0SQYPHmz+PjRp0sTc67bu9y0HwB1CpmZG+87oVdby5csv6Hni4+OlX79+fjUzBBogPGgzkl7c6Ey/WnOrNbQODTSqePHijGYCXCYkamZ69+4tn332mSxZskQuueQS7/4yZcpIamrqWVOU62gmPZaR6OhoKVKkiN8NQHiIiooyFyvnWkhS9+ugAS0HwD2CGmZ0KKUGmU8++US+/PJLqVSpkt/xBg0amBEKixcv9u7Tods7d+40VcsA3EcHB3Ts2DHDeWZ0vx4H4C55gt20pCOVZs2aZeaacfrBaF+X/Pnzm/sHH3zQXIlpBz+tZXn00UdNkGEkE+BOy5Ytk/fff9/Uwvp29tcLH91fo0YNAg3gMhGeIM40da6qYh1+ff/993snzevfv7+899575g9Xy5YtZezYsedsZkpP+8xoKNKRUjQ5AXbT9Zd04kxtetaLmi5dupga3aSkJElMTDR9aLRPzccff0xTE2C5rHx/B72ZKaObE2RUTEyMjBkzxgy/1Mn0Zs6cmekgAyC86GR4GmRq164tw4YNM33qNMDovW7rfj3OpHmAu4TMaCYAOB8npGh/unvvvddviga9yNGa2w0bNphyWgaAOxBmAFhn8uTJppnp2Wef9TYzTZs2TaZMmRLsUwPg1qHZAJAZderUMfe66Kw2K9WsWVMKFChg7nVb9/uWA+AO1MwAsEZk5P+//jp27JgMGjRIGjdu7B3V9N1335n9vuUAuANhBoA1fCfQ1MVm9Xa+cgDCH5cvAKzhLEIbqHIAwgNhBoA1tG+M04SkzUu+nG09ruUAuAfNTACsocOu09LSvHNQ6YgmvdfJNdesWWP6zuhxLcfQbMA9CDMArLF69Wpzr6OWdFbQr776yu+47j9+/LgpR5gB3IMwA8Aa+/btM/caWHSa84oVK3qP/fbbbybg+JYD4A6EGQDWcDr26rpuGlzWrVvnd1z365IodAAG3IUOwACs8ffff5v7c62P6+x3ygFwB8IMAACwGmEGgDX2798f0HIAwgNhBoA1nA6+gSoHIDwQZgBYQ0cxBbIcgPBAmAFgjfSz/l5oOQDhgTADwBqlSpUKaDkA4YEwA8AaJUuWDGg5AOGBMAPAGidOnAhoOQDhgTADwBpJSUkBLQcgPBBmAFijYMGCAS0HIDwQZgBYo3LlygEtByA8EGYAWOOyyy4LaDkA4YEwA8AaK1asCGg5AOGBMAPAGtu2bQtoOQDhgTADwBqpqakBLQcgPBBmAFijUKFCAS0HIDwQZgBYo2jRogEtByA8EGYAWCMlJSWg5QCEB8IMAGscPHgwoOUAhAfCDABrnDx5MqDlAIQHwgwAa0RERAS0HIDwQJgBYI08efIEtByA8ECYAWANj8cT0HIAwgNhBoA10tLSAloOQHggzAAAAKsRZgBYgw7AADJCmAFgjXz58gW0HIDwQJgBYI2oqKiAlgMQHggzAKxx/PjxgJYDEB4IMwCscfr06YCWAxAeCDMAAMBqhBkAAGA1wgwAALAaYQYAAFiNMAMAAKxGmAEAAFYjzAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALBanmCfAGCb5ORk2blzZ7BPA+exdetWPqMgKF++vMTExPDZI1cRZoAs0iDTvXt3PrcQx+8oON566y257LLLgvTqcCsrwsyYMWPk5Zdflj179sgVV1who0aNkiuvvFLcZu/evXLkyJFgn4brpaSkyDPPPOP6zyEYhg8fnumy/I6C9/8HtWLBV7RoUYmNjRW3iPB4PB4JYR988IHcd999Mn78eGncuLGMHDlSZsyYIVu2bJHSpUuf9/FHjx41v1QNAUWKFBGbg0yXe++TU6kpwT4VAECIy5svWhKnTrE60GTl+zvka2Zee+01efjhh6Vbt25mW0PN3Llz5d1335WBAwdmeFWgN98PIxzoL1ODTGqpquLJWyDYp+NunjSJOJ0c7LNwragD27wjFyJ89jtXZWkicqZU1SCcGczvIU+MSARjS4Ip4tRJkQPbzPeGzWEmK0I6zKSmpsqqVaskPj7euy8yMlJatGghK1euzPAxI0aMkKFDh0q40XQaGRkl+Q5sC/apACHJCTZR/xd4ADeLjIwy3xtuEdJh5sCBA3LmzJmzkqVub968OcPHaPDp16+fX81MXFyc2E7f89ixY2TXrl3BPhXXO3XqlPm3ieDS2tn0HnjggaCcC/6nVKlSkjdvXj6SIIuLi3NNrUzIh5nsiI6ONrdwVK1aNXMDIKYvHQCoyFBP+FFRUabzqy/dLlOmTNDOCwAAhI6QDjP58uWTBg0ayOLFi7370tLSzHaTJk2Cem4AACA0hHwzk/Z/6dq1qzRs2NDMLaNDs0+cOOEd3QQAANwt5MNMx44dZf/+/TJ48GAzaV7dunVl/vz5rurYBAAALJ4070KFy6R5AAC4ydEsfH+HdJ8ZAACA8yHMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsFvIzAF8oZ05AnXwHAADYwfnezszcvmEfZo4dO2bu4+Lign0qAAAgG9/jOhOwq5cz0FW2d+/eLYULF5aIiIhgnw6AAF+56YXKrl27WK4ECDMaTzTIlCtXTiIjI90dZgCEL9ZeA6DoAAwAAKxGmAEAAFYjzACwVnR0tAwZMsTcA3Av+swAAACrUTMDAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALAaYQYAAIjN/h8D0G869n4gFAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(df_eda['Global_Sales'])\n",
    "plt.title('Boxplot Global Sales')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "76fe7e8c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Skewness: 17.32\n"
     ]
    }
   ],
   "source": [
    "skewness = df_eda['Global_Sales'].skew()\n",
    "\n",
    "print(f\"Skewness: {skewness:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f32c8708",
   "metadata": {},
   "source": [
    "Extremely Right Skewed, berarti banyak banget nilai kecil dan sedikit nilai yang sangat besar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a13f8c95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1827"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Q1 = df_eda['Global_Sales'].quantile(0.25)\n",
    "Q3 = df_eda['Global_Sales'].quantile(0.75)\n",
    "IQR = Q3 - Q1\n",
    "\n",
    "outliers = df_eda[(df_eda['Global_Sales'] < Q1 - 1.5*IQR) | \n",
    "                  (df_eda['Global_Sales'] > Q3 + 1.5*IQR)]\n",
    "\n",
    "len(outliers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3ead6ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Outliers: 1827\n",
      "Percentage:  11.190053285968029\n"
     ]
    }
   ],
   "source": [
    "total = len(df_eda)\n",
    "outlier_count = len(outliers)\n",
    "\n",
    "print(\"Outliers:\", outlier_count)\n",
    "print(\"Percentage: \", (outlier_count / total) * 100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c1b710c",
   "metadata": {},
   "source": [
    "Dari Boxplot keliatan bahwa data tidak simetris, banyak nilai kecil dan ada nilai yang sangat besar, jadinya outlier banyak karena distribusi skewed, kemungkinan karena 90% game merupakan game yang peminatnya lebih kurang daripada 10% game seperti GTA, FIFA, Mario, dll."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5d549ff",
   "metadata": {},
   "source": [
    "#Analisis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "29aa706f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Genre\n",
       "Action          1722.88\n",
       "Sports          1309.24\n",
       "Shooter         1026.20\n",
       "Role-Playing     923.84\n",
       "Platform         829.15\n",
       "Misc             797.62\n",
       "Racing           726.77\n",
       "Fighting         444.05\n",
       "Simulation       390.16\n",
       "Puzzle           242.22\n",
       "Adventure        234.80\n",
       "Strategy         173.43\n",
       "Name: Global_Sales, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda['Genre'].value_counts()\n",
    "df_eda.groupby('Genre')['Global_Sales'].sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d2e73f6c",
   "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>Name</th>\n",
       "      <th>Global_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>82.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Super Mario Bros.</td>\n",
       "      <td>40.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>35.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>33.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pokemon Red/Pokemon Blue</td>\n",
       "      <td>31.37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Name  Global_Sales\n",
       "0                Wii Sports         82.74\n",
       "1         Super Mario Bros.         40.24\n",
       "2            Mario Kart Wii         35.82\n",
       "3         Wii Sports Resort         33.00\n",
       "4  Pokemon Red/Pokemon Blue         31.37"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda.sort_values('Global_Sales', ascending=False)[['Name', 'Global_Sales']].head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edc5f4ff",
   "metadata": {},
   "source": [
    "Game Wii Sports paling banyak sukses, tapi ada gap besar antara wii sports dan super mario bros."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "edf1ce38",
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NA_Sales</th>\n",
       "      <td>16327.0</td>\n",
       "      <td>0.265</td>\n",
       "      <td>0.822</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.24</td>\n",
       "      <td>41.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EU_Sales</th>\n",
       "      <td>16327.0</td>\n",
       "      <td>0.148</td>\n",
       "      <td>0.509</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.11</td>\n",
       "      <td>29.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JP_Sales</th>\n",
       "      <td>16327.0</td>\n",
       "      <td>0.079</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.04</td>\n",
       "      <td>10.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other_Sales</th>\n",
       "      <td>16327.0</td>\n",
       "      <td>0.048</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.04</td>\n",
       "      <td>10.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Global_Sales</th>\n",
       "      <td>16327.0</td>\n",
       "      <td>0.540</td>\n",
       "      <td>1.566</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.48</td>\n",
       "      <td>82.74</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                count   mean    std   min   25%   50%   75%    max\n",
       "NA_Sales      16327.0  0.265  0.822  0.00  0.00  0.08  0.24  41.49\n",
       "EU_Sales      16327.0  0.148  0.509  0.00  0.00  0.02  0.11  29.02\n",
       "JP_Sales      16327.0  0.079  0.312  0.00  0.00  0.00  0.04  10.22\n",
       "Other_Sales   16327.0  0.048  0.190  0.00  0.00  0.01  0.04  10.57\n",
       "Global_Sales  16327.0  0.540  1.566  0.01  0.06  0.17  0.48  82.74"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda[['NA_Sales','EU_Sales','JP_Sales','Other_Sales','Global_Sales']].describe().round(3).T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ed1f55b",
   "metadata": {},
   "source": [
    "NA_Sales = Mean jauh lebih besar dibanding mean -> data sangat right-skewed (game besar yang naikin rata - rata)\n",
    "\n",
    "EU_Sales = Mayoritas game kecil penjualannya\n",
    "\n",
    "JP_Sales = Mediannya 0, banyak game yang tidak laku di jepang\n",
    "\n",
    "Other_Sales = Mean 0.048, median 0.01, market kecil dibanding region lain.\n",
    "\n",
    "Global_Sales = mean = 0.54, Median = 0.17, sangat skewed, beberapa game popular mendominasi total sales\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3dc63f4f",
   "metadata": {},
   "source": [
    "Variability (STD)\n",
    "NA_Sales std = 0.82 (Paling besar)\n",
    "Global_Sales std = 1.56 (Sangat tinggi)\n",
    "\n",
    "distribusi sales SANGAT tidak merata (ada outlier seperti yang di analisis tadi)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76dfad84",
   "metadata": {},
   "source": [
    "Min-Max \n",
    "Max Global_Sales = 82.74\n",
    "Max NA_Sales = 41.49\n",
    "\n",
    "Hanya sedikit game yang jadi \"hit\", sisanya kecil"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "946bcf61",
   "metadata": {},
   "source": [
    "Global_Sales :\n",
    "25% = 0.06,\n",
    "50% = 0.17,\n",
    "75% = 0.48\n",
    "\n",
    "75% game punya sales di bawah 0.48, yang menunjukkan bahwa mayoritas game sebenarnya low-selling, berarti interpretasi hanya game blockbuster yang high-selling semakin kuat."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8aab7af1",
   "metadata": {},
   "source": [
    "#Perbandingan Jumlah Game yang memiliki Sales rendah sampai tinggi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b559765c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = [0, 0.1, 0.5, 1, 5, 10, 100]\n",
    "labels = ['Very Low','Low','Medium','High','Very High','Extreme']\n",
    "\n",
    "df_eda['sales_category'] = pd.cut(df['Global_Sales'], bins=bins, labels=labels)\n",
    "\n",
    "df_eda['sales_category'].value_counts().plot(kind='bar')\n",
    "\n",
    "plt.title('Overall amount of Game by Sales')\n",
    "plt.xlabel(\"Sales Category\")\n",
    "plt.ylabel(\"Amount of Games\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d411270a",
   "metadata": {},
   "source": [
    "Dapat dilihat bahwa banyak sekali game yang low sales dan hanya sedikit game yang masuk kategori Extreme (sales tinggi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b8ab5e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genre_sales = df_eda.groupby('Genre')['Global_Sales'].sum().sort_values()\n",
    "\n",
    "genre_sales.plot(kind='barh')\n",
    "plt.title('Global Sales by Genre')\n",
    "plt.xlabel('Sales (Million)')\n",
    "plt.ylabel('Genre')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13e5fe75",
   "metadata": {},
   "source": [
    "Genre Action punya penjualan tertinggi"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48744abe",
   "metadata": {},
   "source": [
    "Genre Strategy punya penjualan terendah sehingga dapat di interpretasi bahwa target marketnya lebih niche dan lebih kecil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "29ed4642",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_games = df_eda.nlargest(50, 'Global_Sales')\n",
    "genre_counts = top_games['Genre'].value_counts().reset_index()\n",
    "genre_counts.columns = ['Genre', 'Count']\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "\n",
    "plt.bar(genre_counts['Genre'], genre_counts['Count'])\n",
    "\n",
    "plt.title('Genre Distribution in Top 50 Games (by Global Sales)')\n",
    "plt.xlabel('Genre')\n",
    "plt.ylabel('Number of Games')\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.5)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e8143f1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "blockbusters = df_eda[df_eda['Global_Sales'] >= 10]\n",
    "\n",
    "blockbusters.groupby('Genre').size().sort_values(ascending=False)\n",
    "\n",
    "blockbusters.groupby('Genre')['Global_Sales'].sum().sort_values(ascending=False)\n",
    "\n",
    "genre_sales = blockbusters.groupby('Genre')['Global_Sales'].sum().sort_values(ascending=True)\n",
    "\n",
    "plt.figure(figsize=(10,6))\n",
    "\n",
    "plt.barh(genre_sales.index, genre_sales.values)\n",
    "\n",
    "plt.title('Total Global Sales per Genre (Blockbusters ≥10M)')\n",
    "plt.xlabel('Total Global Sales (Millions)')\n",
    "plt.ylabel('Genre')\n",
    "\n",
    "plt.grid(axis='x', linestyle='--', alpha=0.5)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ab19e1eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CPeNnMzX7I/2+mVoQVWT0COICXFz4+/j4qP2ueL73ebEtCoimDwqKkU5EdwwRkEo/4kZW2y6r90gco0SBx5xkL4kCoWIS+6YIDIpCj5s2bZIFMzP+3fTblYiI6E1Yg4GI6A1EqrtIbV60aJHafJFiLC5UMl48nj9/Xq2vtqggL4afE9XbX3cn+W2J4QnFRVT6ugDi7rroiy1GTMiqPsP7INovXnP6tHFxp1lU3c9IBATERVlOiAtzETQRw0Gm/x1xh1tkA4j3QJPERZa46yy6RohJtDf9RaDYHhlT2MUdZZFJ8qYhQ0VmgAgKiTvJ4j19U5aBeF6R2i66EmSVxZLdEKPvQmRmiH1aBJUyEu+VGCYyO+JOvXgfM26Ht33dWUndL8TwjOmJ0R9SgxjpifoY6UfZEIGitWvXyn0vteuS2Mcz/m3xucpY1yKnRCAwq3oHqfUjUrsFpR4b0v/thIQEmSmUk/dI7IMi4yIj8f6kfqZEVkLG1yZeu5Dx/bly5YrMNBE1JIiIiHKKGQxERG8gLtjFHU0xnKK4mBZ98sVFrwgaiLRpcfcwPTEkn0hdF0UhxYV+6gWCuAP+JiJtWQwnKIiLEtH3XdQ7EETXBFH0MDXAIO5AiqHoRJ9ucWdV/B1xkZGTv/OuxAWbuHgTw26KftviLr0owidS8kVb0xN1CMRdVbG+uNAWfc2zG5JQdCkQwRpxQSpqHYhClaLwpLjIEcNWaprIYhBDBooMDtG+9JkjIrvF3d1dvi9i/xCp5uK1X7p0SaafZ0fUvhB3kUWXC3GxKe4mi+cQF4LiLrJYJv6WeP5UYpvXqVNHBj3EEJ0iq0FcpItAwLNnz1T70Psghj4UXULEsI2iCKd4X0U9DDF0o7jbLz4T2d3ZFwVOxYWvGL5VBNly87ozEuuLuhfLly9XdTEQGREiUCVqC4jPbXois0e8d+J9EZkooqCp2G7pM3DE6xRdFMRnq1atWvJ1iq4H2dXSyI7oJiMu1jt06KD6/IoApAhsiO4X4hgiiL8lamOI1yOOHSKQJ+o25CTQIl63GKZSDL0paqOI7SwyXERmhwiOiJoSYt8U20UcJ0ShS3HcEvutqMMiumVkDOKJoTvFsY81GIiI6K2oxpMgIqIsh6kUIiMj5dB+BQoUkEMWiqEAZ82apTb0nyB+T/z+unXr5DpiaDsxBN6bhkJMP/xc6lCXGaeMw+GJYRN79+6tcHJyksPYiaEnczL8nCDWLVOmTI7ak3GYSh8fH9VrE0NdinZlHD5QuHv3rqJevXqqIfpSh6x83TCVwtGjRxW1a9eWv2NrayuHzLx9+7baOql/SwxhmJFoa6tWrTLNT31f0ksdZlC8jznx4MED1Xtx5swZtWVi2MpRo0YpKlSooLCxsZHDOor/L1myRJFTYrjTAQMGKLy9veWwpmIbiO3bv39/ORxjRv/8848cvtPV1VXukwULFlS0bt1asW3btkzDVGbcL1Lfg/T75eu2Xer+L4brFG0zNTVV5MuXTw6JOXv2bDlM6ZuUL19e7qu5fd1Z7WeJiYmKSZMmKTw9PeV2KFSokGxr+mEd078+MWypaE/q/ptxPxS/9+2338rhK0VbxP54/vx5+ZkR09sOU3n27Fm574mhXMVQpqKNHh4eip49e8r3MOO6NWrUkH9XHGu+++471TCr6d+rrD6XwvLlyxWVK1eWvy/2QzGUqXiOgIAAufzvv/+Ww7uKvy9evxgWVuwz6YfVFcSwteJvis8jERHR2zAQ/7xdSIKIiF5H3O0bNGhQpu4URPpM3IkXnws/Pz/VUImkvURWhRh+VGReMIOBiIjeBmswEBER0f+V6P4ghsoUXTtIu4lCk6L4puiaxeACERG9LdZgICIiov8rUUshqyEpSfuIYUXFqCFERETvghkMRERERERERJRrzGAgInqPWNaGiIiIiPQVMxiIiIiIiIiIKNcYYCAiIiIiIiKiXGOAgYiIiIiIiIhyTSdrMCj2tNF0E7SeQfVWmm6CdnMqp+kWaLWU1eM13QStZ1D7I003QbslJGi6BVrNwJ37z5soDm38IO9FXmXw6ThNN0GrKdZP0nQTtJ7BJ7013QTtZu6k6RZoN7Mm0FWTDEp8kL8zQXEPeREzGIiIiIiIiIgo13Qyg4GIiIiIiIjofeMd+uxx+xARERERERHlUUuXLkX58uVha2srp5o1a+LAgQOq5XFxcRg0aBCcnJxgbW2Njh07IigoSO05/Pz80KpVK1haWsLFxQWjRo1CUlLSW7eFAQYiIiIiIiKiHF5Af4jpbbi7u2PmzJm4cuUKLl++jEaNGuGTTz7BrVu35PLhw4djz5492Lp1K/78808EBASgQ4cOqt9PTk6WwYWEhAScO3cOa9aswerVqzF+/NvXXWMXCSIiIiIiIqI8qk0b9UEOpk2bJrMaLly4IIMPPj4+2LBhgww8CKtWrUKpUqXk8ho1auDw4cO4ffs2jh49ivz586NixYqYMmUKRo8ejYkTJ8LU1DTHbWEGAxEREREREVEOL6A/xBQfH4+IiAi1Scx7E5GNsGnTJkRHR8uuEiKrITExEU2apI3sUbJkSXh4eOD8+fPysfhZrlw5GVxI1bx5c/k3U7MgcooBBiIiIiIiIiItMmPGDNjZ2alNYt7r3Lx5U9ZXMDMzQ//+/bFz506ULl0az58/lxkI9vb2auuLYIJYJoif6YMLqctTl70NdpEgIiIiIiIi0qI79GPGjMGIESPU5ongweuUKFEC165dQ3h4OLZt24YePXrIegsfGgMMRERERERERFrEzMws24BCRiJLwdvbW/6/cuXKuHTpEn755Rd89tlnsnhjWFiYWhaDGEXC1dVV/l/8vHjxotrzpY4ykbpOTrGLBBEREREREVEeHUUiKykpKbJmgwg2mJiY4NixY6pl9+7dk8NSihoNgvgpulgEBwer1jly5Igc8lJ0s3gbzGAgIiIiIiIiyqPGjBmDFi1ayMKNkZGRcsSIkydP4tChQ7J2Q+/evWV3C0dHRxk0+Oabb2RQQYwgITRr1kwGEr788kv8/PPPsu7C2LFjMWjQoLfKohAYYCAiIiIiIiLKAQMt3ErBwcHo3r07AgMDZUChfPnyMrjQtGlTuXzevHkwNDREx44dZVaDGCFiyZIlqt83MjLC3r17MWDAABl4sLKykjUcJk+e/NZtYYCBiIiIiIiIKI/y8fHJdrm5uTkWL14sp9cpXLgw9u/fn+u2MMBARERERERElAMsYpg9bh8iIiIiIiIiyjUGGIiIiIiIiIgo19hFgoiIiIiIiCgHeIc+e9w+RERERERERJRrzGAgIiIiIiIiygHeoc8etw8RERERERER5e0MhhcvXiA6OlqOuZnq1q1bmD17tpzfrl07dOvWDdro0j8x8Dn5Crf84xASkYxFPQugSVlr1fLDNyOx6Xw4bj2LQ3hMCnYO90CpguZZPpdCoUC/3/xx+l5MpufRVcvXXcScZWfRvXMl/DikAZ4FhqPxpyuzXHf+5FZo0bA49E2jJqPgHxCaaX63rg0xYdyX0HWXnsZj5cVI3HqegJDoFCxs74QmxSxUyxedCcf+u7F4HpkME0OgtKsphtW1RYUCZqp1Hr1MxOyT4fjbPwGJyQqUcDbBkDq2qF44689iXtao7xEEBMdmmt+tRRH0au+NJv2OZvl787+rgo9rF4CuS05WYNHWh9h9KgAvwuLh4miG9g0KYkDHojAwMMi0/oTlt7D5yFOM6VkSPVoVgT7YsOMKNu74G/6B4fJxMS9nDOxVB/VrFpWP/Z69wk8Lj+HKjadISEhG3RpeGPdtM+Rz1M3vrEuPY+FzLhy3AhIQEpWMRZ+5oEkpK7lMHE9+Of4Kfz6IwbNXSbA2M0QtLwuMaOKA/LbKU6u/HsWix5rnWT731r4FUK5g2rFKVyUnp2Dh4l3YvecCXrwIh4uLPdq3q42B/dtk+bnTNZf84uBzPkL5PSb2oU7OaFLCUrV84akw7L8djecRyTAxMkAZ8T3WwB4V/ts3noUlYemZMFx4HIcX0SlwsTZCm7JW6F/HDqZGurf9Nmy7iI07LsE/MEw+LubpjIF9GqB+reIIC4/BwuUncOavhwgMCoejvRWa1C+Jof0bw8Za977TX+fS5QfwWX0UvneeIiQkHIvn90OTRhVUy78fuxY7d/+l9jt1apWCz6+DNdBa3cU79FocYPjmm29QoEABzJkzRz4ODg5G3bp15byiRYuiZ8+eSE5Oxpdfat/FVGyCAiULmKFjNVt8syYwy+WVi1igRQUbjNsalO1zrTkdBj34nlW5cec5Nu2+iRJF86nmubnY4Myufmrrbd59Ez4bL6Nedf04uc9o25Zx8qIo1YMHz/BVnzn4uHlV6IPYxBSUcDFBh3JWGLIrc6CliKMJxjYxQyF7Y8QlKbDmUiT6bHmBQ/1c4WhpJNcZsD0UhR2MsfqzfDAzNsDaK1EYsCMUh/q6wtlauY6u2Da7HpJT0u0vTyLRa8J5NK9dAG75LHB6dTO19bccegKfnQ9R9yMX6IMVf/yLjYf9MHNQOXgXsobvPxH4YclNWFsao3tL9WPMkb+CcP1+GFwcdP8CMD1XZ1uMHNgQhQs5ysD3rv03Mei7rdi5pjcKutmh17CNKOntgjULP5fr/7LiFPqP3Iotv/WEoaHufYnFJipQMr8pOlaywTebg9WWxSUqcDswHgPr2aOEqykiYlMw/eBLDNwYhO1fF5TrVCpkjtPfFlL7vQUnXuH8v3EoW8AU+mDFb/uxcdNJ/DSjN7y9C8LX9zHG/OgDG2sLdP+yqaab92HOFfOboGMFa3yzPSTL77FxzR3Tvsf+ikTvjUE4PKAgHK2M8Cg0EeKwPqmlk/wuexCSiHH7Q+W+ObqJA3SNa35bjBzUFIULOSmPQfuuYdDIjdj5+wAooEDwi0iMHtoc3p4uMggxceYeOW/BzC7QFzGxCShRwh0d29fE4OErslynbu3SmDHlC9VjU1OTD9hCIg0HGC5cuIDVq1erHq9duxaOjo64du0ajI2NZSbD4sWLtTLAUK+UlZyUMgcYPqlsK38+e5mY7fPc8Y/Dqj9fYdtQD9Sd/C90XXRMAkZNPoCp3zXB0jUXVfONjAzh7JS6PZWOnn6IFo2Kw8pSP07EMnJ0VO5DqZb/tg8ehVxQrWoJ6IN6XhZyep3WpdPuAgnfN7LH9psxuBeSiJqFjfAqJhlPXiVh6scOKOGi3Ie+rWeHjVej8eBFos4FGBzt1C+GV2x/CA9XS1Qr6yTvFDo7qN/hOXohEC3qFISVhX6U4rl6LwyNq7igQWVlQMXdxRL7zgbi5kPl3fpUQaFxmLryNn4bWwVfz7gCfdKobjG1x8P7N5AZDdd8/REUEikzG3at6Q1rK+W+9tO41qjabC4uXH6MWtU8oWvqFbOUU1ZszA2xsrub2rxxLZ3QeUUAAsKSUMDeGKbGBnC2Sft8iayHY3dj8EV1W724ey9cvfYQjRtVRIP6yjus7gXzYd/+v3Dj5iPog3reFnJ6HZGNkN73TR2w7XoU7gUnoKanBeoWVU6pCjmYyKDDxr+jdDLA0KhuSbXHwwc2kRkN13yfovMnlbHwp7RAgoe7I4YNaIxRE7YjKSkZxsa69Z3+OvXrlpFTdkxNjeGcz+6DtUkfMYNBi7fP8+fPUaRI2p2j48ePo0OHDjK4ILRt2xYPHjyAropNSMHI9c8xvr0LnP9LqdR1k+cdR/2anqhVJa1bTFZ87wXhzoMQdGpV9oO1TZslJCTJFNOOHerozYnp20hIVmDL9WjYmBmgpLMyUm9vYQhPR2P8cSsGMQkpSEpRYPP1aDhZGso0VF2WkJiC3SefoUMTjyz3F9+HYbjzKAIdm3hAX1QqYY/zvqF4FBAtH999HIG/775CvUrOqnVSUhT4buEN9G7riWKFbKDPRGr7viO3EBOXiErlCsouEWJXMjVJO4k3MzWWmQuiywQBkXEpEJ82W/OsT62O34tBWGwKOlTUn32rUkVvXLhwB48eK7uK3L3rhyt/P0C9uuU03TSt/B7bfDVS+T2W//XfUZHxKbB7zT6mc8egwzflHftK5dQzgVJFRcXLgKe+BBdy6uLlB6hZfzSat5mECVM24lVYlKabRHpGo1e1tra2CAsLU9VguHjxInr37q1aLk6M4+Pjoatm7A5BpSLmaKwHNReEfUfv4fb9YGxb/ua6Gtv2+qJoYUd8VE73+4bnxNFjfyMyMgbt29fWdFO0yomHsRi556VMF3W2NoTPp85w+K97hDh+rPwsHwbvCEWV+QEQGdyOloZY3jmfzp+cHfsrEJHRiWjfKOsAwvajfijqbo2PSjlCX/Rr54XomCS0HHYaRoYGsjvJsK7F0KZuAbVuFEZGBviyZfYBUF1272EwuvRbg/iEJFhamGLxzI7w9nSGo70lLMxNMWvxCYwY0ECmL89ZckJ24wp5wZPX+MQUzD76Eq3KWcH6NceX7X9Hok5RC7ja6ccNBaFf35aIio5Fi1Y/ykxFcdE4fGgHtG1TU9NN0xonHsTg250v/vseM8LKbvlV32MZPXmZiHWXI/FdY93LXkh172EQuvRekXYM+rkrvL0yd+V7GRaNJStP4rN2VTTSTm0lukc0bVwR7gWd8PTZC8xdsBt9By7B5t9Hys8gvR/cktnT6LdcjRo1sGDBAqxYsQI7duxAZGQkGjVqpFp+//59FCqUddQylQhAZAxCmCYmwyzdXRZtdPxWFP56GIMdw/XjRDYwKBLTFpzEyrkdYGaW/W4XF5+EvUfvYWCP6h+sfdpu+47T8o5PfhfdPal4F9U9zLCjZ368ik3G1uvRGL47FJu/cIGTlZG8AJpyJEz2Y13XzV7WYNh2IxoDt4diS3cXWSxLV2074oe6lV2Q3ylz4au4+GTsPfUMAz7Vr8KpB84/x54zgZg9tAK83a1lBsP01Xfh4mAuiz36/hOO3/c9wfafa+l1lpBnYSfZDSIyOh6Hjt/F6Cl7sG7JFzLI8Mu09pg46yB+33pJZi60aloGZUq4wkAH6y+8DdH1YdjWEEABTGyVVlsovefhSTjzTyzmddaPmiepDhy8hD17L2DOrH6yBsOdu36YMWOjqtgjQRYd3tnHDa9iU7D1aiSG7QjBlq/c5PdYekERSei7KRgfl7TCp5VsdPsYtG4AIqPEMegWRk/agXW/9lILMkRFxeHr4etQ1NMZg/s11Gh7tU2rFmkBlxLFC8qpScsJuHjpPmrWUO+CQqSTAYYpU6agcePGWLduHZKSkjBmzBg4OKRdQG3atAn169fP9jlmzJiBSZMmqc0b36UYJnbT7n7qFx7GwC80EdXGPVSbP2RNACp7WuD3gdkHVvKaW/eCEPoqBh36rFfNE3e+Ll1/hvU7ruHmsSGqyOrBE/cRF5eIds1LabDF2sPf/wXOnb+Nhb+wAnBGlqaGKCwmB2NULGCG5sufY/vNaPSrYYsLfvE4+U8c/hpSQFZ4F0TXiHOPn+MP32j0raFe40JX+AfH4PyNECz8PutioIfOBcggQ7uGunWMeZNZv99D33aeaFVb2W++RGEbBLyIw/Kd/8oAw5W7rxAakYBGA/5U/Y7IcvhpzV2s2fcYx5c0gD4QXSBEkUehbEk33LwTiLWbL2Hy9y1Rp7oXjm4biJdhMTA2MoStjTlqt/oFLQuUhj4HF4ZvDUZAeBJW93B9bfbCjmuRsttWo3QjCOiDn2dvQb8+LdGqpfKGQYni7ggICMWyFfsYYEj/PeZoCHG7qWJBMzRf4o9t16Lwde20PvRBkUnovj4IldzNMLmVbmeemZoYyyKPQtlSBXDztj/Wbr6AyWPaynlR0fHoM/R3WFmayewGE3aPyFYh93xwcLDGk6chDDC8R8xg0OIAQ/ny5XHnzh2cPXsWrq6uqF5d/Y51ly5dULp09icuIigxYsQItXmmR7W/mmzfho7oVE29AEvbOU/wfVtnNCqte10malTxwJ416sU6x8w4DC8PB/T9vKpa2tb2fbfQqLYXHB3060TsdXbsPAMnR1s0qF9e003ReqLKdEKSQlXlXch4M1rcbE032ILO2XHMD052ZqhfJX+Wy7cd9UPDqq6ZikLqutj4ZBhm2BkMDcW+oNwZ2tYrgJrllCe1qfpMvYxP6hVA+4bKUQH0kdg+CYnJavNEdwnh/OXHCH0Vnak4pL4FF56EJmJNT7fXprWLbKodV6PwSQVrORShPomLTYCB+KClY2RoCIUuH4RzSWwaUY8hfeaCCC6IAPn01k6ZjmO6TtTGEXWoUjMXeg9ZK4sYLp3TDWZmHB3hTZ4/f4WwsGgWfaQPSuMdAcWoEaGhobKbxOPHj2VqqqenJzp16iRHj3hTqqqZmZmc0lN8gO4R0fEp8HuRoHosRosQI0LYWRqhgIMJwmKSEfgqEcERyoPioxDlaBL5bIxlQcfUKSPxu+5OunfAtLY0RXEv9dRRS3MT2NtZqM1/8ixMZjUsn9VeA63UPikpKdix8yzatauld0WMohNS4PdK+flJHQ/8TlAC7CwMYW9uiGUXItHQ2xzOVkaycNqGq1EIikxG85LKi5+KBUxlsbUx+19hYC0bZReJ69HwD09C/aLmOnsitvPYU5mdIO4wZ/QkMAqXb4Vi+fga0DcNKzvj1x3/wC2fuRym8s6jSKze8xgdG7nL5Q42pnJKz9jYAPkczOBVUPeCvlkRNRXq1SwKN1dbREcnYO/hW7j49xP4zO8ql2/fex1Fi+STAYarvv6YPu8IenapBq/C6oEZXSG/59ONBCWPQYHxsLMwgrONEYZuCZZDVf7aLb/MdgmJVB6vxHIxgkSqC4/i5O92/kh309pfp2HDivh12V4UcHNUdpG48wSr1hxCxw51oTffYy8zfI89/+97zMIQv54NR6PilrL2ghj5aMPlSJmt8HEpy7TgwrogFLAzxujGDngZk6J6Ll0bCUmYs/gI6tUsBjdXOznq2N5DN3Dx78fwWfClDC70GrIWsXGJmDW5kyzwKCbB0cFKb+oLRMfEwc8vbcjTZ/6huHP3KezsrGBnZ4lFS/ejeZNKyJfPFk+fhmDWvF0o7OGMurWZFfw+6cfelkcDDCKq36ZNGxw4cAAVKlRAuXLl5DyR1dCzZ09Zl2HXrl3QRr5P49Dj12eqxzN3Kz/s7arYYmYXV1lj4YfNQarlI9Yph7Ic1NQR3zTPuo8miewFX7g626BOVf2oTfEmomtEQGCo3pyMpXfreQJ6bHqhevzTCeVwgu3KWmJiMwf8G5qIXb7Rst+qCDiUczPFum4uKJZPGaATdxNXdMqH+afD0XPTCzmKhHc+Eyzq4ISS/w1bqWvOXQ9BQEisHD0iK9uPPoWrkwVqV0wbOUFfjO1dGgs2PcDk324jNDwBLo5m+KxpIQzs5K3ppmkN0Y1t9OQ9CA6Ngo21GUoUdZHBhdr/DUH5yO8l5i49ifCIWBR0s0f/nrVkgEFX+QbEo8ca5egHwsxDL+XPdhWsMbiBvRwVQj7+NUDt99b0cEV1z7ShBbf9HYlKhczg5aybx53sjP2xG35ZsBOTJq9D6MsIWXvhs08bYNAAZbq7rvMNTECPdWnngjOPvpI/25W3wqQWTnLIySHbQmQdIXsLI/k9tr67K4r9t6+cfRQnh1sWU/2F/mrPffdH3TtPCn0ZLWsuBL+IhI21OUp455fBhdrVvfHXlUe47qs8727aYb7a7x3bNRzuBfSjRpXvLT907/2L6vGMWdvlz/Ztq2Pi2C64/yAAu3b/hcjIWLi42KF2zVIYOrg1TE117+YlaS8Dhbii15BVq1Zh6NCh+OOPP9CwoXqRFjFkZbt27bBo0SJ07979rZ5XsafNe26p7jGo3krTTdBuThxCKzspq8d/sLcirzKo/ZGmm6DdEtIywCgzA3fuP2+iOLSRu042DD4dx+2T3f6zXr1+F2WxD32SNrIbZcFcN7O33huzJtBVKw0+TK2/Xop7yIs0muGxceNG/PDDD5mCC4IYTeL777/H+vVpRQGJiIiIiIiISDtpNMBw48YNfPzxx69d3qJFC1y/fv2DtomIiIiIiIjodRfQH2LKqzTa9pcvXyJ//qwrnQti2atXyv5qRERERERERKS9NBpgSE5OhrHx6+tMGhkZISkprfouEREREREREWknjY8iIUaLyDjMZKr4eOXwM0RERERERESalpe7L+h8gKFHjx5vXOdtR5AgIiIiIiIiIj0LMIhhKomIiIiIiIjyAgNNN0DLMcODiIiIiIiIiPJ2BgMRERERERFRXsE79Nnj9iEiIiIiIiKiXGMGAxEREREREVEO8A599rh9iIiIiIiIiCjXmMFARERERERElAO8Q589bh8iIiIiIiIiyjVmMBARERERERHlAO/QZ4/bh4iIiIiIiIhyjRkMRERERERERDnAO/TZ4/YhIiIiIiIiolxjBgMRERERERFRDvAOffa4fYiIiIiIiIgo15jBQERERERERJQDvEOfPW4fIiIiIiIiIso1ncxgMKjcWNNN0H72JTTdAu1moJMfjffGsMNXmm6C1lMEXdd0E7SaQcl2mm6CdkuJ13QLtF/NOppugXbj91j2m+eLSR/qnci7EqM03QLtZmyh6RaQhvAOffa4fYiIiIiIiIgo1xhgICIiIiIiIqJcYx44ERERERERUQ7wDn32uH2IiIiIiIiIKNeYwUBERERERESUA7xDnz1uHyIiIiIiIiLKNWYwEBEREREREeWAAbdStpjBQERERERERES5xgwGIiIiIiIiohzgHfrscfsQERERERERUa4xg4GIiIiIiIgoB3iHPnvcPkRERERERESUa8xgICIiIiIiIsoB3qHPo9vnzp07GDlypKabQURERERERER5LcAQHR0NHx8f1KpVC2XKlMHBgwc13SQiIiIiIiIiycDgw0x5lVYEGM6ePYtevXohf/786Nevnwww3L59G76+vppuGhERERERERFpc4AhODgYP//8M0qWLIlOnTrB3t4eJ0+ehKGhoQw2iPlERERERERE2sLQQPFBprxKY0UeCxcuLAMLv/zyC5o2bSoDC0RERERERESUN2k0wHDmzBl4eHjI/zNjgYiIiIiIiLRZXq6P8CFoLG3g7t27WLduHQIDA1G1alVUrlwZ8+bNk8sM+K4RERERERER5Skay2AQateuLacFCxZg48aNWLVqFZKTkzFw4EB069YN7dq1g7OzM/KChasvYdGay2rzPAvZ4+DarmrzFAoF+n6/D6cvPsXiKR+jSR1P6ItLlx/AZ/Vh+N72Q0hIOBbP748mjSvKZYmJyZi/8A+cOu2Lp/4vYG1tgVo1SuLbYe2R38Ue+m75ij2YM3crun/ZDD/+8AX00Ybtl7FxxxX4B4bJx8W8nDGwVz3Ur+WtWufqzWeY9+sJ3LjlD0NDA5Qq7gqf+d1gbm4CXdeo7xEEBMdmmt+tRRGM718eIa/iMGv1bZy7FoLo2CR4FrTG152LoXmtAtAXPAa9YftceQif1cfhe+cpQkIisHhebzRpVF61/EVoBGbP34Mz5+8iMjIWVT4qinHfd0SRwi7QF0EvYjDb52+cuuSPuPhkeBSwwfRva6FccadM60745QI273+AMV9XQY8OpaDv+D2WtaCgV5g1ZwtOn7qB2LgEFPbIj+nTe6NcWf05P0x16bI4Bh2F7x1xnhiBxfP7okmjCmrr/PPvc8yat0ser5KTUlC0qCsWzu2DAm6O0EeNmoyCf0BopvndujbEhHFfaqRNRBoNMKSytrZG37595XTnzh389ttvGDt2rAw0JCYmIq8oVsQBq+a0VT02MsqcP7Nm2w29zdCIiY1HieLu6Ni+FgYPW6a2LC4uAbfv+GHA1y1RsoQ7IiJiMO2nLRjwzRLs2PwD9NmNm/9i0+YTKFGiEPSZq4stRg5qhMLujhBlb3btu45B323GzrV9UczLRQYX+gzbgK971Ma4b5vDyMgQdx8EyUCDPtg2ux6SU9IKAj14EoleE86jeW1lAGH0/KuIjE7Ekh+rwcHWFHtP+WP4rMvYNqc+SnvZQR/wGPSm7ZOAEiUKomO76hg8YmWm4PigYT4wNjbCkvl9YG1tjtVrT+Krr5dg344xsLQ0g64Lj4xH1xEHUb28K1ZMbQxHezM89o+EnbVppnWPnPXD9bsv4OJkoZG2aht+j2UtPDwaXbtNRfXqpbBi+bdwcLTBkydBsLO1gj6Sx2hxDGpfE4OHr8i03O9pCLr1mCvPI4cMbCWPQw8eBsLMVPdvIrzOti3jkJyc7rv/wTN81WcOPm5eVaPt0nX6cWaZxwMM6ZUqVQpz5szBTz/9hN27dyMvERc0zo6Wr11+5+ELrNxyHduXdUKdjmugb+rXLSunrNjYWGDVimFq88b90AWdu85EQOBLvY1MR0fHYdSopZg6uReW/pq3Pg/vW6O6xdUeDx/QCBt3XsE1X38ZYJgx/zC+/LQq+nWvrVrHq3A+6AtHO/ULvBXbH8LD1RLVyirvrF67+xIT+pdH+eIO8vGAT4tj9e5/cOthmN4EGHgMesP2qVNaTll5/CQE1248xt7t36OYt5ucN3FsZ9RuNA77Dv6Nzh1qQtf9tuUW3PJZYcbIWqp57q42WWY5TF1yCb9Na4yvxx+HvuP32Out+G0fXN2cMGN6H9W8Qu55I3P3/6F+3TJyep15C/egXt0y+G5EO9U8j0L6u70ER0dbtcfLf9sHj0IuqFa1hMbaRKRVQzeIOyTHjx/Hvn37EBkZiQ4dOiAveeIfjjqd1qBxt3X4dupRBARFqpbFxiXKeeOH1s02CEFpoiJjZbaHrY3+3gGaPGUN6teviFq1sg7M6Kvk5BTsO+KLmNhEVCrnjtCX0bh+yx9ODlbo0ncVarWYiy8GrMHla37QRwmJKdh98hk6NPFQZUxVLOmI/WcCEBaZgJQUBfad8kdCQgqqlcuc2k1KPAal36eS5E8zs7Q7hWL0J1NTY1y5+q9e7DLHLzxD2eKOGDr1T9T6dAvaD9yLLfsfqK0jPlvf/XwGvTuVRrEi7N4n8Hssm33qxDWULVMEQ4YtQs3a36Bdh/HYsuXk/3lPzptSUlJw8tQt2SWrd/9FqFn/e3TuNgtHj1/XdNO0RkJCEnbvuYCOHerobbb0h2JgoPggU16lsQBDWFgYevTogXLlysmuEREREahbty6aNGmCNm3ayEyGGzduIK8oX8oFM0Y3wm8/tcbEYfXg/zwCnw/dhaiYBLl8xuJzqFQmv17VXMiN+PhEzJ63E61aVJH1GPTRvn0XcPv2E3w7orOmm6I17j0MQqWGM1Gu3nRM+Gk/Fv/UGd6eznga8EouX/TbKXT+pBJ+m98VpUu4oec36/DYL3PfRF137K9A2R2ifSMP1bz5o6ogKSkFNb44iPKd9mLC0utYOKYqCrtZa7St2orHIHVeRfKjgJsD5izYg/CIGBlwWL7yKJ4Hhcm+0vrgaWAkNu69j8IFbPHb9Cbo0ro4pi29hJ1H/lGts2KLr8xm/LJdSY22VVvweyx7T58GY+Om4yhS2BU+K0aia5dGmDp9PXbuOvOB3qG8I/RlFGJi4rHC5wjq1i6NlcsGo2njChg8/DdcvKwe6NNXR4/9jcjIGLRvn5bJSaRXXSRGjhyJ8+fPyyDDnj178PHHH8sMBjFP3BX57rvv8OOPP8pl2YmPj5dTembxSTAz+7AvrX71wqr/lyzqhAql86Nhl3U4cOIfONqb48JVf+xcwQvFnBAFH4eOXAEFFJg0rhv0UWBgKKbNWIeVPt/BzCxz/1595Vk4H3at7YfI6HgcOn4boyfvxrql3eVdQ+Gz9h+hY2tl4VARYDh/6RG2772Gbwc2hj7ZdsQPdSu7IL+TuWreLxvuyqDDqsk1ZQ2Go389lzUY1k2vgxJF1FMs9R2PQZmZmBhh4dze+HHiRlSrO0ZeRNesXhz16pSCIu/eZHkr4nWWKeaEEb0qycelvR3x4HEYNu27j/ZNi8L3QSh+33UX2xe34t1Dfo/lcJ9SoGwZT4wY3km5T5UuLPvQb9p0Au3b1fk/7s15M4NBaNywHHp+2Uj+v1RJd/x97V9s2nIG1aoUg77bvuM06tUth/wuyq6Q9P/DBBEtDTAcOHAAGzZsQP369dGzZ08UKlRIdo+oXr26XC5qMLRtm1Yw8XVmzJiBSZMmqc2bMKI5Jn77MTTJ1toMRdzt4BcQjvuPQuXPqq191Nb5ZsIhVCnnht/nf6Kxdmrjif2wkcsREBCKNT7D9TZ74datxwgNjUCHjuPVugVcunwP6zccxc3rK+UJvr4xNTFC4ULKehxlS7rh5u1ArN18EX27K/tEFy2iXnNBPA54rh93V1P5B8fg/I0QLPw+rcCTX2A01u97hD0LG6CYhzKYUNLTDlduhWLD/keYNFC9Src+4zHo9cqWLoQ/tnwnR5AQ28nR0RqdP5+LsmX0owCts6MFvAur1yspWsgOh88ou2JduRmM0LA4NPpih2q5KLz604orWLPrDo6vzVvdPnOL32Nv5pzPHkWLqo/k4+VVAIcOq49KRoCDgzWMjQ1RtKiyBkyqol6uetNNKzv+/i9w7vxtLPxlsKabQqS5AENQUBCKF1cWbStYsCDMzc1lkCGVh4cHQkJC3vg8Y8aMwYgRI9TmmYUuh6ZFxybiaUAEnJtaokVDb3RupT5EVZteWzBmYC00rFVEY23U1hP7J34hWOszHA72+pu6XaNmaez5Y7ravDE/roCXpxv69mmtl8GFrKQoFLLPobubPVycbfAoQ3eIx09DUa9m2jCW+mDHMT842ZmhfpX8qnmx8cnyp2GGkLsYYSPdwBN6j8egnBFFeYXHT4LlsMNDB7XUi32nUmlnPHqqHrB87B+BAi7K76q2TbxQ8yNXteV9fjiGTxp7oX2zotA3/B57s48+KoZHj5+rzXv8+DkKFtCfAsU5ZWpijHJlCuPR4yC1+eI4VNCNd+x37DwDJ0dbNKifNrQw/f8wg0FLAwwi1cnIyEj1WPw/fUGSnBYnMTMzk5OaqA//sn5aeg4NaxZBAVdrBL+IwcLVl+TJe+vGxeBob5FlYccC+W1QyE1/UpOjY+Lg55cWNHrm/wJ37j6FnZ0VnPPZYciIZbh95ymWLR6E5JQUhLwIl+uJ5eKLRZ9YW1mgeHF3tXmWFmawt7fONF9fzFlyTAYL3PLbITomHnsP++Li34/hM/9zebzo/XlNLFzxJ0oWy49SxVyxc/91/PskFAumK1NP9YHoKrLz2FO0a1gIxumCUF7u1ijsZoUJS67ju6/KwN5GdJEIxLnrIfh1rDJrTB/wGPSm7ROf4Rgdijt3n8HOzlKO5HPg8FU4OljLWgz3HgRi+s870KRhOdSppR/1Bnp2KIWuww/i14030aJeYdy4FyqLPE4eVkMud7A1k1N64o5rPgcLeBXSj5Fa0uP32Jv16NEMXbtNw6/L9qDFx9XkcJ5btp7E5Ek9oY/edAzq3bMJho9aiaofeaN6teI4ffY2Tvzpi7U+Q6HPxDXVjp1n0a5dLTmUMJGmafSq7bfffoO1tTLyn5SUhNWrVyNfPmXUVowikZc8D4nGiKlHEBYRB0c7C1Qu54YtizvI4AIp+d56gu695qk2x4xZ2+TP9m1rYPDA1jh+UlnU85NOU9U22dqVw1Gdw+3ovdBXMRg96Q8Eh0bBxtoMJYrml8GF2tW95Lbp2aW6zGaYMf8IwiNiZaBh5S+fw8Ndf4Y4FQGDgJBYOXpEeibGhlg2vjrmrL2DAVP/QkxcMjzcrDBzaCW1TAddx2PQm7aPH7r3WaR6PGP2LvmzfdtqmDnlc1nMcebsXQgNjYSzsy0+aV0VA79uDn1RrkQ+LBzfAHNXXcWS9Tfg7mqNMf2rok0j5TGI6G2VL+eFRQu+wdx527B4yR9wd3fGD993Q9s2aUOh6hN5jO69QPV4xixld6P2batj5tQvZVHHieO6YLnPYUz9aRs8i7hgwdw+qPKR/mUIpSe6RgQEhqJjh7qaboreMMzDIzx8CAYKUWFGA4oUKZKjLIVHjx69/ZMHzH+3RumTfOxznS1jDiWarXBWbH4TRRCHzsqOgZd+pNW/sxT14sWUmeI5+6lnx8CjKXeb7D9k3D5vkhjFbZQdnitmz0h3R7O4YP5hut/WiHuIvEhjGQyPHz/W1J8mIiIiIiIiems568ivvzQWYIiLi8PRo0fRunVrVbHG9MNNGhsbY/LkybL4IxERERERERFpN40FGES9hX379qkCDIsWLUKZMmVgYaGsWXD37l24urpmGiGCiIiIiIiISBM4ikT2NDbW3fr169GvXz+1eRs2bMCJEyfkNGvWLGzdulVTzSMiIiIiIiKivBBgePjwIcqVK6d6LLpCGBqmNadatWq4ffu2hlpHRERERERElDmD4UNMeZXGukiEhYWp1VwICUkb9zZ1TNf0y4mIiIiIiIhIe2ksg8Hd3R2+vr6vXX7jxg25DhEREREREZE2MDBQfJDpbcyYMQNVq1aFjY0NXFxc0K5dO9y7d09tnQYNGsDAwEBt6t+/v9o6fn5+aNWqFSwtLeXzjBo1CklJSXkjwNCyZUuMHz9ejiaRUWxsLCZNmiRfHBERERERERFl7c8//8SgQYNw4cIFHDlyBImJiWjWrBmio6PV1uvbty8CAwNV088//6xalpycLK+/ExIScO7cOaxZs0YOzCCu2d+GgUKheLvwyHsSFBSEihUrwtTUFIMHD0bx4sXlfBFpESNKiEjJ1atXkT9//rd/8oD577/BuiZfBU23QLsZW2q6Bdot/IGmW6D1FEHXNd0ErWbg1VLTTdBuKewi+CaK55c/yFuRVxl4NNV0E7RciqYboP0SozTdAu3Gc8XsGdWGrvrbuugH+TsfRf3zzr8ryg+IDAQReKhXr54qg0Fcf8+fn/W18oEDB+QIjwEBAapr8F9//RWjR4+Wzyeu27U6g0E0WkRGSpUqhe+//x7t27eX05gxY1C6dGmcOXPm3YILRERERERERHlYfHw8IiIi1Kac1igMDw+XPx0dHTON5JgvXz6ULVtWXnfHxMSolp0/f14OwpD+Grx58+by7966dUv7izwKnp6eOHjwIF6+fClHlRC8vb0zbQgiIiIiIiIifTFjxgxZNiC9CRMmYOLEidn+nhgsYdiwYahdu7YMJKTq1q0bChcujAIFCsh6hyIzQfQe2LFjh1z+/PnzTDf4Ux+LZXkiwJBKBBTEsJRERERERERE2upDDSE5ZswYjBgxQm2emZnZG39P1GIQgymIHgHp9evXT/V/kang5uaGxo0b459//kHRou+v24fGukgQERERERERUWYimGBra6s2vSnAIGob7t27FydOnHjjiIzVq1eXP1N7Eri6uso6iemlPhbLcooBBiIiIiIiIqIcMIDig0xvQ4zbIIILO3fuxPHjx2Upgje5du2a/CkyGYSaNWvi5s2bCA4OVq0jRqQQgQ1RIzFPdZEgIiIiIiIiorcnukVs2LABf/zxB2xsbFQ1E+zs7GBhYSG7QYjlLVu2hJOTk6zBMHz4cDnCRPny5eW6YlhLEUj48ssv5fCV4jnGjh0rnzsnXTNSMcBAREREREREpEU1GN7G0qVLVUNRprdq1Sr07NlTDjF59OhROURldHQ0ChUqhI4dO8oAQiojIyPZvWLAgAEym8HKygo9evTA5MmT36otDDAQERERERER5VEKRfZdKkRA4c8//3zj84hRJvbv35+rtjDAQERERERERJRHMxi0CYs8EhEREREREVGuMYOBiIiIiIiIKAcMDd5uhAd9wwwGIiIiIiIiIso1ZjAQERERERER5QBrMOhjgMG6gKZboP0MjDTdAu1mqJsfjffGprCmW6D1DBxKaboJlJelJGm6BVrPwDKfppug3UJvaroF2i0pRtMt0H5O5TTdAu0W6qvpFmg3l9qabgFpCK+iiIiIiIiIiHKAg0hkjzUYiIiIiIiIiCjXmMFARERERERElAMGHEUiW8xgICIiIiIiIqJcYwYDERERERERUQ5wFInsMYOBiIiIiIiIiHKNAQYiIiIiIiIiyjV2kSAiIiIiIiLKAUOOU5ktZjAQERERERERUa4xg4GIiIiIiIgoBzhMZfaYwUBEREREREREucYMBiIiIiIiIqIcYAmG7DGDgYiIiIiIiIhyjRkMRERERERERDlgwBSGbDGDgYiIiIiIiIhyjRkMRERERERERDnAUSSyxwwGIiIiIiIiIso1ZjAQERERERER5YAhazBkixkMRERERERERJRrzGAgIiIiIiIiygGOIqHFAYbY2FgcOXIEDRs2hI2NjdqyiIgInDx5Es2bN4eZmRm03YZtF7Fx+0X4B4bJx8W8XDCwdwPUr11cPt684xL2HrqBW/cCER0dj0vHf4CtjQX0yaXL9+Gz6hB8bz9BSEg4Fv8yEE0aV1ItVygUWLB4N7ZuO42IyBh8VMkbE8d9jiKF80OfrV9/GD4+e+U2K1nSA+PG9UD58t7Qd8nJKVi4eDd2772AFy/C4eJij/af1MLA/q1hwCO/Cvef17t06Y78bPn6PkJISBgWLx6OJk2qfojdN09avmIP5szdiu5fNsOPP3wBfbd83UXMWXYW3TtXwo9DGuBZYDgaf7oyy3XnT26FFg2V5wP6Yvnvf2HOslPo3rkyfhzaSM4b//MhnLv8BMEvomFpaYJKZQti5IB6KFrYCfpg4aqLWLTmkto8z0L2OPj75wiLiJPLz1x+isCgSDjaW6BJHU8M7VUdNtbafx78vly6/AA+qw/D97af8lxxfn80aVxRLktMTMb8hX/g1GlfPPV/AWtrC9SqURLfDmuP/C720M9j0Jn/jkENVfOv+gZg3oqzuHE7EIaGhihVzBk+czrA3MxEo+0l/aHRAMPy5cuxe/dutG3bNtMyW1tbLFiwAE+fPsWgQYOg7VxdbDFycDMULuQkL5R37buKQSM3YOe6AShWND9i4xJRt2YxOc1ZfAT6KCY2HiVKuKNj+9oYPGxppuUrVh7E7+uPYea0XnAvmA+/LNqF3l/Px/4/JsNMTw+K+/efx4wZ6zBpUi9UqOCNNWsOoHfvmTh4cA6cnOygz1b4HMDGzSfx0/Re8PYuAF/fxxgzdhVsbCzQ/Ysmmm6eVuD+k72YGHFMKoyOHRtg8OB5H+hdyZtu3PwXmzafQIkShTTdFK1w485zbNp9EyWK5lPNc3OxwZld/dTW27z7Jnw2Xka96kWgT27cCcSm3ddRoqiz2vwyJVzRpllpuOW3Rbi4oF55Fr2Hb8Wxrf1gZKQfvXaLFXHEqjlp572pr1sEXYJDozF6QC14F3aEf1AkJs49ieAXMVgw+WPo1blicXGuWAuDhy1TWxYXl4Dbd/ww4OuWKFnCHRERMZj20xYM+GYJdmz+Afp3DLqhdgxKDS70GbkDX39RDeOGNZT7192HITDkjZf3ipszexo9mq9fvx7Dhg177XKxbM2aNcgLGtUrKbMVing4wbNwPgwf2BSWlqa45vtMLu/ZrRb69ayHCuX09+Ssft1yGD6kPZo2+SjTMhGUWfv7MQzo1wpNGlWUXxw/T++F4OAwHD12Ffpq1ar9+PTThvICyNvbHZMm9Ya5uRm2b/8T+u7qtX/QuFFFNKhfXgakPm5eBXVqlcGNm4803TStwf0ne/XrV8Tw4Z+iaVNmLWQnOjoOo0YtxdTJvWBnawV9Fx2TgFGTD2Dqd01gZ2Oumi9O5J2drNSmo6cfokWj4rCyNIVebZ9J+zD1u2Zq20f47JMKqFqxENzd7FCmRH4M61sHgcGR8H8eDn1hZGSgto+ITAWhuJcTFk5ugUa1POFR0A41P3LHsD41cPz8IyQlpUBf1K9bFsOHfIKm6TJcU4kbCKtWDEPLj6vAy9MVFSt4YdwPXXDrth8CAl9Cv45B+zH1u6aZPmMzFp7El50qod8X1VDMMx+8PBzRslEJmJqyVzzpSYDhwYMHqFChwmuXly9fXq6T14jU7X2HbyAmNgGV9Dig8DaePXuBkBfhqFWzlGqejY0lKpT3wtXr/0IfJSQk4datR6hVq6xqnkh1E4+vXs17n4v3rVLForhw4Q4ePX4uH9+9+xRXrj5AvbrlNN00rcD9h96XyVPWyGBM+mORPps87zjq1/RErSqFs13P914Q7jwIQadW+rXdJs89ivq1vFCravZZG+Icacd+XxlsEFmg+uKJfzjqdFyFxl1/x7dTDyMgKPK160ZFJcDa0hTGxvqR3fEuoiJjZbdIfep2rDwGeWU6BoW+isH128/hZG+JLgM2olbbX/HF4M24fMNfY23VVQZQfJApr9JoOCspKQkhISHw8PDIcrlYJtbJTnx8vJzSM4tP1EhK/b2Hz9Gl1wrEJyTB0sIUi2d1g7eXywdvR14kgguCk5P6SYaTk43sX6+PXr2KlMGqjF0hxON//w2AvuvXpwWiomLRovU4eedQbKvhQ9ujbesamm6aVuD+Q+/Dvn0XcPv2E2zbOpEbVGyPo/dw+34wti3v9sbtsW2vL4oWdsRH5Qrozbbbd/QObt8PwrYVX752nfU7rmL20j8RE5sITw9HrJrfGaYmRtAH5Uvnx4zvG8u6CyGhMVi85hI+H7IDe1Z1lYGE9F6GxWLJ75fwWZsyGmuvtouPT8TseTvRqkUVWY9BH+w7elf5GVv+eaZlTwOUdeAWrTqP7wbWQ6liLth18DZ6DtuGvWu6o0ghBw20mPSRRkOiZcqUwdGjR1+7/PDhw3Kd7MyYMQN2dnZq04y5u6AJomvErvUDsWVVP3TtWBWjJ27Hw3+DNdIWIl134OBl7Nn3F+b83Bc7to7DzOm9sHLVIezcdVbTTSPSCYGBoZg2Yx1mzeoPMzP9SfF/HVF4b9qCk5g1rgXMzLK/PxMXn4S9R++hU2v9yV4IDIrAtF+OY9b4Vtlun7bNSmPnyh5Yt6iLvOAZNm4P4uOzv5mkK+pXL4wWDbxRsmg+1K3mgeUzWyMiKgEHTjxUWy8qOgFfj9krA1SDe7ILV1ZEwcehI1dAAQUmjXtzwE+3jkEts/yMpfzXk+aztuXRsVVZlC7ugh+GNIBnIQds3+f74Rus4zUYPsSUV2k0g6FXr14YMWKEDCK0bt1abdmePXswbdo0zJ07N9vnGDNmjHyO9Mzi90ATTE2MZZFHoWypgrh52x9rN53H5B8+0Uh78hLnfMq79KGhEXBxTqsEHBoaiZJ6WlTMwcFG3pkPDVXP4BCP8+XTv2rJGf08Zyv69W6BVi2ryceiKFRAQCiW/XYA7dvVhr7j/kO5devWY3lM7tBxvGqeyBS6dPke1m84ipvXV+pNYT7h1r0gmYLcoc961bzkZAUuXX+G9Tuu4eaxIartcfDEfcTFJaJd87Ruf3qzfXqvzbB9nmL9jr9x8/gIuX3EiAhiEsGFCmUKoFqLhThy6gFaN9WfbZXK1sYMRdzt4eef9j0fFZOAPt/tgZXIhJ3SAibG+pHd8bbBhWEjl8vv/DU+w/UmeyHtGLQuy2PQwfVfyXlFiziq/Z54HBD8+q44RDoVYOjXrx9OnTolR5EoWbIkSpQoIeffvXsX9+/fx6effirXyY4YwjLTMJYR2jHiQIpCgYSEZE03I09wd88ngwznL9xFqZLKLjMi/f36jX/R9dP60EeiIE+ZMp44f/6Waui8lJQU+fiLL5pB38XFJsDAUD28K05eFSl5t8/a+8T9h3KrRs3S2PPHdLV5Y35cAS9PN/Tt01qvggtCjSoe2LNGPfV/zIzD8PJwQN/Pq6ptj+37bqFRbS84OlhCX9SoUhh71vZUmzdm+kF4FXZE38+rZb2/KBSyyHNCon6eK4lifU8DwuHcrLgqc6H3qN2yy8jS6VnfpdZ3qcGFJ34hWOszHA721tCvY1B3tXljZhyShRzFMahQATu45LPCo6ev1NZ5/PQV6lX3/MCtJX2m8SPXunXr8Mknn8gRJURQQXzRiEDDpEmTZIAhr5iz6DDq1SoON1c7RMfEY+/BG7h45TF8FioPBCEvIvEiNAp+T0Pl4/sPg2BlaSbXt7fTjxOQ6Jg4+PmldRl55v8Cd+76wc7OCgXcnND9y8ZYunwfChd2+W+Yyj/g4mKPJllUEtYXX33VEqNH/4qyZb1QvnxROUxlbGwcOnTQz6BLeg0bVMCvy/fLfUcMU3nnjh9WrTmMju3raLppWoP7z5tHR/DzUxYJFZ49C8GdO49hZ2eNAgXUh/7SR9ZWFihe3F1tnqWFGeztrTPN1weij3xxL/X9wtLcBPZ2FmrznzwLk3cUl89qD/3bPs6Zt4+t2D7OeOofhv3H76J21SJwtLfE85BILF/3F8zNjGXRTH3w05KzaFirCArkt5FDUi5cdRGGhgZo3bi4DC70GrkbsfFJmPVjU/lYTIIYaUJfAnrKc8WQDOeKT+W5orgRNWTEMty+8xTLFg9CckqKqoaXWC4yifXzGGSumt+7a1UsXHkOJYs6o1QxZ+w8eBv/PnmJBVPaaKjVuinjDS5Sp9FPYnJyMmbPno3du3cjISFBdpOYOHEiLCzyXqpT6KtoWXMh+EUkbKzNUcI7vwwu1K7uLZdv2nEJi1acUK3/eT8f+XPG+Pbo0CbzsI26yNf3Cbr3mq16POPnLfJn+09qYua0Xujb62PExiZg/MTfEREZg8ofFcNvvw7VSMFObdGyZU28fBmBBQu2ISQkDKVKFcZvv32PfP91KdFnY3/shl8W7MKkKesQ+jJSBqM+61wfgwbwSzQV95/s+fr+i+7dp6oez5ihTDtt374eZs7s/3/bd0m3ib7Ors42qFM1+1Em9I2pmTEuX3+GNVuuICIyDk6OVqhSwR0bf/0cTg76Mfzp85AojJhyGGERcXC0s0Dlcm7YsqSTDCD8ddUf1+8EyfWafp6WAi8c2/gl3N30Y6QN31viXHGe6vGMWdvkz/Zta2DwwNY4fvKGfPxJp7Rjt7B25XBUr6rMhNZnPT/9SI4iNWPRSYRHxKGktzNWzusEj4LsWksfjoFCpAxoyJQpU2RAoUmTJjKocOjQIXTt2hUrV67M3RNHKC9cKRsWrtw82THRj5Odd5YUo+kWaD9j/chMov+TFP0oepcrL65qugXazUC37+bmGr/H3syJwz5nK+z++9obdZPL19BVAYWzHgHxfSvwxA95kUbzrdauXYslS5bIwMKuXbtkYUfRVUL0MyciIiIiIiKivEOjAQY/Pz+0bNlS9VhkMhgYGCAgIECTzSIiIiIiIiLKhMNUanGAISkpCebm5mrzTExMkJiYqLE2EREREREREdHb02gHPVH+oWfPnmrDTMbFxaF///6wskrrA79jxw4NtZCIiIiIiIjoPxxFQnsDDD169Mg074svvtBIW4iIiIiIiIgojwYYVq1apck/T0RERERERJRjBhotMqD9uHmIiIiIiIiIKNc4SDIRERERERFRDohRD+n1mMFARERERERERLnGDAYiIiIiIiKiHGANhuwxg4GIiIiIiIiIco0ZDEREREREREQ5wRoM2WIGAxERERERERHlGjMYiIiIiIiIiHKANRiyxwwGIiIiIiIiIso1BhiIiIiIiIiIKNfYRYKIiIiIiIgoBwwMDbidssEMBiIiIiIiIiLKNWYwEBEREREREeUAR6nMHjMYiIiIiIiIiCjXmMFARERERERElAMcplIPAwyK/Ss13QStZ9B2iKaboNUUTw5puglazcCusKaboPUU0cGaboJWMyhQW9NN0GqKsys03QTt51ZQ0y3QagbOZTTdBO1m46HpFmg9xd7Zmm6CVjP4eICmm0CklXQywEBERERERET03nEUiWyxBgMRERERERER5RozGIiIiIiIiIhygKNIZI8ZDERERERERESUa8xgICIiIiIiIsoBA9ZgyBYzGIiIiIiIiIgo15jBQERERERERJQDBrxFny1uHiIiIiIiIiLKNWYwEBEREREREeWAAYeRyBYzGIiIiIiIiIgo15jBQERERERERJQTvEWfLW4eIiIiIiIiIso1ZjAQERERERER5QBLMGSPGQxERERERERElGsMMBARERERERFRrrGLBBEREREREVEOGBgacDtlgxkMRERERERERJRrzGAgIiIiIiIiygED3qLPFjcPERERERERUR41Y8YMVK1aFTY2NnBxcUG7du1w7949tXXi4uIwaNAgODk5wdraGh07dkRQUJDaOn5+fmjVqhUsLS3l84waNQpJSUlv1RYGGIiIiIiIiIhyOk7lh5jewp9//imDBxcuXMCRI0eQmJiIZs2aITo6WrXO8OHDsWfPHmzdulWuHxAQgA4dOqiWJycny+BCQkICzp07hzVr1mD16tUYP3782zSFXSSIiIiIiIiI8qqDBw+qPRaBAZGBcOXKFdSrVw/h4eHw8fHBhg0b0KhRI7nOqlWrUKpUKRmUqFGjBg4fPozbt2/j6NGjyJ8/PypWrIgpU6Zg9OjRmDhxIkxNTXPUFtZgeEeXHsfC52w4bgUmICQyGYu6uKBJKSu5LDFZgV+OvcKfD2Lw7FUSrM0NUcvLAiOaOCC/rfomP3k/BktOhuFeUALMjA1QtYg5FnfND12zzOcoDh+/gX8fB8PczASVKhTByKFt4FXERbXO5u3nsPfA37h19xmio+Nx6dR02NpYQB80+mo/AoJjMs3v1qooxg+shPELr+D8tWAEv4yFpbkxKpVywsivysGrkC300fLf/8KcZWfQvfNH+HFoQznvy8GbcfHaM7X1PvukPCaPagp9EfQiBrN9/sapS/6Ii0+GRwEbTP+2FsoVd8q07oRfLmDz/gcY83UV9OhQCvrg0uUH8Fl9GL63/RASEo7F8/ujSeOKclliYjLmL/wDp0774qn/C1hbW6BWjZL4dlh75Hexhy669CASPoeDcMsvBiHhiVjUvyiaVEx7rQqFAgv3BGLrmRBExCbjo6LWmNDVA0Xym6vWGbDkIe4+jUFoZBLsLI1Qs5Qtvm1fEPntc3YSkpc06nsEAcGxmeZ3a1EE4/uXR8irOMxafRvnroUgOjYJngWt8XXnYmheqwD0wYYdf2Pjzr/hHxguHxfzzIeBveqgfs2i8rHfs1f4adFxXLnxFAkJyahbwwvjRjRDPkfluZM+WLbyBA6f8E07FypfGCOHtIRXEWfVOl/2W4aLV/5V+73POlbH5B/S7jLqikuPYuFz6hVu+ccrz6W/cEWTMtZp59KHQ/HnvRg8e5moPJf2tsSIj53UzqXDYpIxdXcITtyNhqGBAZqVtcIPrZ1hZaZ7SdrLfI7h8PGb6c6lC2Pk0Naqc+mw8BgsXHoQZy7cR+DzV3B0sEaTBmUxdODHsNGT82ldq8EQHx8vp/TMzMzk9CYioCA4OjrKnyLQILIamjRpolqnZMmS8PDwwPnz52WAQfwsV66cDC6kat68OQYMGIBbt26hUqVKeTfAIFI2RDpHzZo14eDgAG0Um6hASVdTdPzIBt9sClZbFpeowO3AeAysb48SrqaIiE3B9AMvMXBjELZ/XVC13qHb0Ri/+wWGN3ZAdU8LJKco8CA4Abro4t//4PPP6qBcmUJITkrB3EX70HvAr9i3YzQsLZQfkti4RNStVVJOcxbugz7ZNr8xkpMVqscPnoSj19jTaF5Hub+U8XZAm4YecHO2RHhkAhatv43e407jqE9LGBnp11A5N+48x6bdN1CiaNoJWapP25TDkD61VY8tzLXyEPd/ER4Zj64jDqJ6eVesmNoYjvZmeOwfCTvrzBd6R8764frdF3Bx0q8TjpjYeJQo7o6O7Wth8LBlasvi4hJw+44fBnzdEiVLuCMiIgbTftqCAd8swY7NP0AXxcanoKS7BTrWcsI3y9QvaITfDgfh9xPBmNmjCNzzmeKX3QHos/AB9k0oAzMT5dlV9eI2+PpjVzjbmSAoLBE/b3+Gocv/xabvSkLXbJtdT35Pp3rwJBK9JpxH89rKAMLo+VcRGZ2IJT9Wg4OtKfae8sfwWZexbU59lPayg65zdbHByAENULiQowxO7drvi0Gjt2Hn6l4o6GaHXsM2oWQxF6xZ2E2u/8vyU+g/aiu2rOgBQz0Z8u3i3//i8841Ua6MO5KTxbnQIfQe9Bv2bfsWlhZpx+pP21fDkP7NVI8tzE2gi2ITUlDSzQwdq9jim3XP1ZbFJabgdkA8BjZyQAk3M+W59J4QDFwbiO2DC6nWG7U5CCGRSVjZqyCSUhT4YVswxu8MxpwurtDNc+laKFfG479z6f3oPWA59u0YJc+lg0PCERwSgdHD28DbKz/8A19h4rRtct6C2T003Xx6x7oKkyZNUps3YcIEmU2QnZSUFAwbNgy1a9dG2bJl5bznz5/LDAR7e/WbJiKYIJalrpM+uJC6PHVZTmn07Punn35CVFSUTL0QxBdSixYtZHqGINI6jh07hjJlykDb1CtmKaes2JgbYmUPN7V541o5ofPyAASEJaGAvTGSkhWYfiAUo5o6olNlG9V63i66d9dH8Fn8tdrjmZO6oWbjcbh1+xmqVlbe3ej5eX3586/LD6FvHO3UI5Ertt2Fh5sVqpVTXkR/1sJLtcw9vxWGdS+DTwYfhX9wNDzclNF+fRAdk4BRk/Zj6nfNsHTNhUzLzc1N4OykP3fD0vttyy245bPCjJG1VPPcXdOOLemzHKYuuYTfpjXG1+OPQ5/Ur1tWTlkRd3dWrRimNm/cD13QuetMBAS+RAE35R0AXVKvrJ2csiK+j9ceC0L/Fq5o/F9Ww09feaL2qOs4ei0Mraoqt0fPJmknIgWdzNCvuSsG/fqPvPtoomPBz0zH6e0P4eFqiWpllRlC1+6+xIT+5VG+uPLGyIBPi2P17n9w62GYXgQYGtUppvZ4eP/6MqPh2q0ABIVEwv95OHat6QVrK+V2/Glca1RtPg8XrjxGraqe0Ac+i3qrPZ45qTNqNpmCW3eeoepHXurfZfkyH791Tb0SVnLKio25EVb2TrspJ4xr64zOS54hICwRBexN8E9wAk7fj8HWQe4o567MrBrbJh/6rQnEdy2TMmUN53U+i/upPZ45qQtqNp6gOpcu7u2GhXN6qpZ7FMqHYYNbYtSP65GUlAxjYyMNtFo3GXygoOiYMWMwYsQItXk5yV4QtRh8fX1x5swZaIJG84c2b96siqoI27Ztw6lTp3D69Gm8ePECVapUyRS1yasi41JkrQ5bc+Umvx2YgKCIZJli036pP+rO8kPf35/jfpBuZjBkFBmlTDO1s8s6SKPPEhJTsPuEHzo0LQKDLAq8xMQlYceRxzLQ4JpPv7bf5LnHUL+WJ2pVLZzl8j1H7qB6q8Vo/eVqzPn1tMyK0RfHLzxD2eKOGDr1T9T6dAvaD9yLLfsfqK2TkqLAdz+fQe9OpVGsiG6m/b9PUZGx8jOoL1210nv2IgEhEUmoVSqtG5aNhRHKe1rh2r9pBaPSC4tOwp6LL1HJy0rnggtZHqdPPkOHJh6q43TFko7YfyYAYZEJ8rO275Q/EhJSUK1c5i5Kuk7cnd935DZi4hJRqWxBJCQmy3MgU5O0CxwzU2OZuXDlunrXNn0SGRUnf9rZqn+X7zlwDdUbTULrT+dizsIDiI3Vj3PDN4mMTz2XVu5H1/zi5Hl1anBBqOltCXHtd+Opctvqxf6Tzbm0+B6ztjJncCGPMjMzg62trdr0pgDD4MGDsXfvXpw4cQLu7u6q+a6urrJ4Y1hYmNr6YhQJsSx1nYyjSqQ+Tl0nJzQa2nv06BHKly+verx//3506tRJpnMIY8eORefOnd+6b4ppYooqfVMbxCemYPaRl2hV1kr2IROevlJe+Cw+8QqjP3ZCQXtjrDoXju6rA3HwG3fYW+pulFGk7UyfvQsfVfSU0VZSd+yCPyKjEtG+SRG1+Rv2/oPZq24gJi4Znu42WDmtLky1aD//f9t39C5u3w/GthWfZ7m8ddNSKOBqC5d8Vrj3zwvMXnoKj/xeYtH0T6APngZGYuPeSPTsUBpfdymHm/dfYNrSSzAxMUT7psosoRVbfGFkZIgv2+le+vr7Fh+fiNnzdqJViyqyHoO+CYlQfkc52aqnZuezMcGL/5almr3jGdafDJHpzhU8rfDrIG/oumN/BcruEO0beajmzR9VRXaJqPHFQRgbGcDczAgLx1RFYT3KMrv3TzC69FuL+IQkmfK/eEYHeHvmg6O9JSzMTTFryQmM6N9AZsjMWXpSdg0MCY2CPlKeC+3BRxWKoLh32ol7648rooCrPVycbXHvwXPMXrgfj56EYNHs7tBn8lz6QChalbdWnUuLrhGO1urny+KzZ2dhhBeRydBlaefSRV57Lv3yVRSWrDiKzzrW+ODt03VvOcDDByGOq9988w127tyJkydPwtNTPTOscuXKMDExkb0DxPCUghjGUgxLKcoSCOLntGnTEBwcLHsSCGJEChHYKF26dN4IMIgxNdNHYURhCdFfJFWBAgVkJsPb9k0Z37EoJnbSjhMckSY6bGuI/P/E1vlU81O7cX5dzx7NSyvTw2a0c0b9OX44eCsaXarqbvG+STO248HDQGxYNUTTTdFK2w4/Rt0qrsifoX+8qMFQq5KLLCS2cvt9DJtxARtnN4SZqe4Go1IFBkVg2i8nsHJeJ5iZZX3YEgUdU4n6DKKrRM+hW+HnHwaPgrp/t16hAMoUc8KIXsoCPKW9HfHgcRg27bsvAwy+D0Lx+6672L64VZaZMZRGFHwcOnIFFFBg0jhlf3F6vd7NXNGxdj4EhCZg8b4AfL/6kQwy6PJ+tu2IH+pWdkF+p7Q7p79suCuDDqsm15Q1GI7+9VwGHNZNr4MSRXT3Oz09Tw8n2Q0iMioeh07cw+ipe7Fu8RcyyPDL1HaYOOsQft96WWYutGpSGmVKuH6wVGNtM2nmH3jwTxA2+PRXm/9Zh+qq/5co5ia7SvQcsAJ+T0PhUUj/smFU59Iblf2/J7ZLKw6uzybN2IEHD59jw6rBWS6PiorD10N8UNQrPwZ/3fyDt48+PNEtQowQ8ccff8DGxkZVM8HOzg4WFhbyZ+/evWWXC1H4UQQNREBCBBVEgUdBDGspAglffvklfv75Z/kc4oa/eO6cdM3QigBD0aJFZZcILy8vGT25f/++HEYj1bNnz+Dk5PTWfVNM/+gEbTkgDt8SLOsurO7pqoq4Cs42yotCb+e0mgumxgYo5GCCwPAk6KrJM7fj5OnbWOczGK75df+i722JmgrnrwVh4Q9p/ehT2ViZyKlIQRtUKOGE6p/9gSPn/NG6QdodNF11614QQl/FoEPv31XzxJ2vS9efYf2Oq7h5fJi8M59ehdLKiP6TZ/oRYHB2tIB3YfV+3kUL2eHwGT/5/ys3gxEaFodGX+xQLRcF635acQVrdt3B8bW6V6H8XYMLw0YuR0BAKNb4DNfL7AXB+b/MhdCIRLjYpWUxvIhMRCl39XRcB2tjOXnmN0dRN3M0GHMT1x5Fo5KXbt659w+OwfkbIVj4fVXVPL/AaKzf9wh7FjZAMQ9lMKGkpx2u3ArFhv2PMGlgBegD0QWisLuyPkfZkm64eScQa7dcwuTRLVCnuheObhuAl2ExMDYyhK2NOWq3XoCWBfRjFJv0Jv+0CyfP3MG6Ff3feC5UoZzyO/7J0xd6GWCQ59IbniPgVRJW9ymY4VzaGC+j1DMVRI2z8Nhk5PvvPFsXTZ65479z6UFZ7j9R0XHoM2g5rCzNsHhuT5ik65pE74c2BkaXLl0qfzZo0EBtvhiKsmdPZW2OefPmwdDQUGYwiB4AYoSIJUuWqNY1MjKS3SvEqBEi8GBlZYUePXpg8uTJb9UWjQYYRDRE9BMRNRdSh8dIn35x/PjxNw6HkdVQHQotSBtPDS48eZmINT3d4JChy0NZNzMZUHj0IhGVC5urfsdfFq7RvZMykbYz5acdOHL8Jn5fMQiFCurfl2ROiNoKTnbmqF/tTf2cxL1VZT9gfVCjSmHsWateAXnM9IPwKuyIvp9XyxRcEO48UI7uoi9FHyuVdsajpxFq8x77R6CAi/J40raJF2p+pL5f9fnhGD5p7IX2zZRdKPRdanDhiV8I1voMh4MOHotzSowa4WxrjPN3I1GqkDKgEBWbjBuPotG1XuYRXDJm5yUkpo22oGt2HPODk50Z6ldJK3AZG6+8yBHD5KUn7tSnG3hC74haFKL+Qnqiu4Rw/vJjhL6KzlQcUpfJc6Gf/8CRE7fw+/KvUajgm4vH3rkXIH86O+tHFkxWwYUnoYlY06cgHKzUz6UrepgjIi4Fvv5xKFtQeS594Z9Y+ZkrXygtu0i3zqV3/ncuPTDLc2mRudB74HKYmhpj6fxeMDPTzRFIKOv9403Mzc2xePFiOb1O4cKFZdmC3NBogKFv374wNjbG7t27ZbRFDLuRXkBAAHr16gVtFB2fAr+Xaf1Qn71Kwp3AeNnvS2QnDN0cLIeq/PXz/PIuoegnJojlIrAgIrBdqthg4clXcLUzkiNLrDyrHK/04zJWOtktYu+BK1gyrzesrMwQ8kJ5IWRjbQ5zc2UWh5j3IjQSfn7KbjH3HwTAysocbq72sLfTvW2S1YnYziNP0K5xYXl3J9XTwCjsP/0MtSvll1XMn7+IwYqt92TXiPpVdW8YpqxYW5qiuFdaFyPB0twE9rYWcr7oBiEKPNav4QV7O3Pc+ycEMxacRNWK7ijp/fqLIV3Ss0MpdB1+EL9uvIkW9Qrjxr1QWeRx8jBl2puDrZmc0jM2NkQ+Bwt4FdL9CvdCdEwc/PyUXdaEZ/4vcOfuU9jZWcE5nx2GjFiG23eeYtniQUhOSUHIC+UxWSw3NdGtauRCdFwy/ELSahg9exGPO09jYGdljAKOpujeOD9+PRCIIi5mKJjPDAt2+8PF3gRN/htV4vqjaNx8HI3K3tawtTTC05B4OZSlh7OZLPSos8fpY0/RrmEhteO0l7s1CrtZYcKS6/juqzKwtxFdJAJx7noIfh2blvKuy0RNhXo1vODmaitH/Nl7+DYuXn0Cn3ld5PLte2+gaBEnGWC46uuP6fOPoOdn1eBVWH9uOEyauQt7D17Dkrk95N3lkBeR6c6FTGQ3iD0Hr6J+nZKwt7OUNRhmzNmDqh95omQx3atZJc+lQzOcSwfEw87SUGYnDF3/XA5V+WsPNyQrMp9LF3UxRd3ilhi/IwQT2znL7IUpu0PQsry1zo0gkdotYu+Bv7FkXq8M59IWcv8RwYVeA5fJAtezpnWTmQxiEhwdrLO8GUPvSPsSGLSKsaYLlIgiEqI6pegOIdI2RJBB9BMR0qdsaBvfgHj0WJ02HujMQy/lz3YVrTG4gT2O34tRPl6qjDynWtPTFdU9la9vVDNHiM/66B0hiEtSoEJBM6zu6SYPnLpm49az8ueXfdUjZjMmdUWHttXk/zdtO4dFyw6pln3ee1GmdXTZuWtBCAiJQYdm6sUdTU2NcOXWC6z94wEiohLgZG+OKmXzyfoL4v8EmBgb4vxlP6zd8resWu7mYoNmDYphYA/9KWxUrkQ+LBzfAHNXXcWS9Tfg7mqNMf2rok2jtKHP9J3vrSfo3mue6vGMWdvkz/Zta2DwwNY4fvKGfPxJp6lqv7d25XBUr1oCusb3SQx6zLuvejxzm7Kaf7saTpjZswj6NMuP2PgUjF//BBExyTKQsOKbYqoiyuamhjhyLQwL9wbI9ZztTFC3jC0GtHDT2QK0ImAQEBIrR4/IeAxaNr465qy9gwFT/5LFeMVQwzOHVlLLdNBlIhth9JS9CA6Ngo2VGUp4u8jgQu1qykJjj/xCMffXkwiPiEVBNzv071EbPbukdTPRBxu3KYdX/rLfMrX5MyZ0Roe2VWQq+/mLD7F241nExCbALb8dmjUuh4G9G0EXicyDHivSzpNn7lPeYGr3kQ0GN3HE8TvKEWvaLXiq9ntr+hZAdS9lJsysz/LLoELP3/xlBlGzslb4sY1u3ljYuPWc/PllX/XroxmTPpPnybfuPsP1m8pukU3bzlBb59i+H+FeQPeGWybtZKDIST7F/8mUKVMwceJENGnSRAYVDh06hK5du2LlypW5el7Fpo/fWxt1lUFbFljMjiJAGRCh1+w/dlkPE0np9qFoZRcNes0+VEA5WhC95hh0dgU3zZu4FeQ2yoaBcxlun+yY6X5tntxSHOZxKDsGHw/4YO9FnmTZGroqocWHqR1jeuAO8iKN3mJYu3atzFIQgYVdu3Zhz549WL9+vcxsICIiIiIiIqK8Q6MBBjFyRMuWLVWPRSaDGNZK1F4gIiIiIiIiorxDozUYkpKSZDXL9ExMTJCYmFbwhYiIiIiIiEgbaOMwldpEowEGUf5BjMuZfpjJuLg49O/fX467mWrHjrRx24mIiIiIiIhI+2g0wNCjh/q49sIXX3yhkbYQERERERERZceACQzaG2BYtWqVJv88EREREREREelCgIGIiIiIiIgor2ANBi0eRYKIiIiIiIiIdAMzGIiIiIiIiIhygrfos8XNQ0RERERERES5xgwGIiIiIiIiopww5DAS2WEGAxERERERERHlGjMYiIiIiIiIiHKCt+izxc1DRERERERERLnGDAYiIiIiIiKinGANhmwxg4GIiIiIiIiIco0ZDEREREREREQ5wVv02eLmISIiIiIiIqJcYwYDERERERERUU6wBkO2mMFARERERERERLnGDAYiIiIiIiKinGAGg/4FGPZ2faTpJmi9NtGaboGWCwvVdAu0miLgqaaboP0KeGi6BdrN2FzTLdBqist+mm6C1jOob63pJmg1xZM9mm6CVjOo3FLTTdB6pzo/0HQTtFr9GH6PEWWFXSSIiIiIiIiIKNd0MoOBiIiIiIiI6L3jLfpscfMQERERERERUa4xg4GIiIiIiIgoJ1jkMVvMYCAiIiIiIiKiXGMGAxEREREREVFO8BZ9trh5iIiIiIiIiCjXmMFARERERERElBOswZAtZjAQERERERERUa4xg4GIiIiIiIgoJwy4mbLDDAYiIiIiIiIiyjVmMBARERERERHlBGswZIsZDERERERERESUa8xgICIiIiIiIsoJZjBkixkMRERERERERJRrzGAgIiIiIiIiygneos8WNw8RERERERER5RozGIiIiIiIiIhygjUYtDuDITAwEOvWrcP+/fuRkJCgtiw6OhqTJ0/WWNuIiIiIiIiIKA8EGC5duoTSpUtj0KBB6NSpE8qUKYNbt26plkdFRWHSpEmabCIRERERERERaXuA4YcffkD79u3x6tUrBAUFoWnTpqhfvz6uXr2qyWYRERERERERZWJg+GGmvEqjNRiuXLmCxYsXw9DQEDY2NliyZAk8PDzQuHFjHDp0SP5fG3l/3w9uHZrBuqQXkmPj8OrcVdwePRvR9x/J5RaFC6LJ4+NZ/u7lzkMRuO0gbMuXkM/jWKcyTPM5IOaxP578ugmPFqyFLlrmcxSHj9/Av4+DYW5mgkoVimDk0DbwKuKiWmfz9nPYe+Bv3Lr7DNHR8bh0ajpsbSygD5JTFFi0/RF2nw3Ci7AEuDiYon09NwxoVxgGBgZynRfhCZi98R+cvfkSkTFJqFLSHmN7FEMRV0vog6i4ZCzY9QxHr75EaGQiSnlY4cfPCqOcp7Vc/iIiEbO3+eHs7XBExiajSjEbjO1aBEXym0MfNPpqHwKCYzLN79aqKIZ8WRYL193C2avPERgSA0c7MzSuURBDvywLGysT6LOgoFeYNWcLTp+6gdi4BBT2yI/p03ujXFlP6Dz3CjCo2g1wLQED63xI2TkGeHhatdigxQ8wKNtS7VcUj/6CYtu3mZ/LyAQGXyyHgUsxpKzpCQQ/hC6Kik3Cgu2PcfTyC4RGJKJUYWv8+GVRlPOyRWJSCn7Z9hh/Xn+JZ8GxsLY0Rq0yDhjxmSfyO5hB11x6GA2fYy9w62ksQiKSsKiPB5qUt1UtVygUWLg/GFvPv0JEbDI+8rTEhE8LoIhL2rZ4FByPWbue4+9HMUhMUqBEQXMMaemCGsWVx3Vdtvz3C5jz6yl071wZPw5rjLCIWCz87SzOXHyEwKBIODpYoEndYhjaty5srHVv/xEKjf4a+do3g2VJT6TExiPi/FX8+/0sxP53Pp3KtkZFFJkyHLbVK0CRnIKoa3dws0UvpMTFy+Vldi2FdYVSMHVxQuKrcIQdOy+fJyEwGLrm0uUH8Fl9FL53niIkJByL5/dDk0YVVMu/H7sWO3f/pfY7dWqVgs+vgzXQWtJXGi/yGBcXp/b4+++/h7GxMZo1a4aVK1dCGznVr4ZHi9cj7NJNGBoboeT0Eahx2AcnS7dCckwsYp8G4rBrbbXf8ej3GbxH9UbwgVPysV3lsogPfomrX4yS6zvU+ggVlk+GIjkZjxevh665+Pc/+PyzOihXphCSk1Iwd9E+9B7wK/btGA1LC+UXZ2xcIurWKimnOQv3QZ+s2PMEG48GYGb/kvB2t4Lvv5H4YfldWFsYo/vH7vJEbdDcmzAxMsCSEeVgZWGM1Qeeotf0a9j7c3VYmhtB141b8y8e+Mfip95F4WJvit0XXuCreXexb1J5uNibYNDi+8rtM6g4rCyMsPrIc/Saewd7J5eHpZnub59t85sgOVmhevzgSTh6jT2F5nXcERwai+CXsfiudwV4e9jKQMSERVfkvAU/1IK+Cg+PRtduU1G9eimsWP4tHBxt8ORJEOxsraAXTCyAkIdQ+O6DQbvpWa6i+PcCFAfTLUtKzHI9g/oDgagXgEsx6LJxPvfx4Fk0fupfEi4OZjIo/NXMG9g3s6o8Dt9+HImB7TxQwsMaEdFJmP77Qwyc54vtkytD18QmpKBkQXN0rOGAb3z8Mi3/7egL/H4qFDM/d4e7kyl+2ReEPksfY98PxWBmorw113/ZExRxNsWawZ4wMzHA2pOhGLD8CQ6PLw5nW90Nft64E4hNf1xHCW9n1bzgF1FyGj24IbyLOME/KAITZx2W8xZMawddZF+/KgKWrkPkpZswMDaG57QRKH9wJS6VbYmUmFhVcKHcfh/4zVyGh0OnQJGUDOsKJaFISVE9T9iJv+A341ckBIbArGB+eP08GqW3LMC1ul2ga2JiE1CihDs6tq+JwcNXZLlO3dqlMWPKF6rHpqa6+1nSGBZ51N4AQ9myZXHu3DmUL19ebf7IkSORkpKCrl27Qhv91aKP2uNrPb9H85ALsKtcBi9PXwZSUhAf9EJtHbf2TRCw5QCSo5V3GJ+u2q62PObRMzjUrCgzI3QxwOCz+Gu1xzMndUPNxuNw6/YzVK1cVM7r+Xl9+fOvy7p55ys7V+9HoHHlfGhQKZ987O5sgX3ng3Hz3wj5+PHzWFx/GIE9P1VDMXflxc/Er4qjzqCz2Hc+CJ0bFoAui0tIweG/X2LxoOKoWlx5h+ybtu44cf0VNp4Mwic18+H6v1HYM7EcihVUZnRM/LwI6oz8G/suhqJz3bRMGV0lshLSW7HtLjzcrFCtnLPMgln4Y1ogwcPNGsO7l8Wo2ReRlJwCY6M8nIeXCyt+2wdXNyfMmJ52TC/knnbCr/MeXYDi0YXs10lOAKJfZr+OZw2gSFUo/hgLA6+a0FVxCck4fCkEi4eXRdWS9nLeNx2K4MTVUGw8FoBhnT2x8vu0O4nCuB7e6DzhKgJexKFAPt3KpqpX2kZOWRFB8bV/hqJ/Mxc0/i+r4acv3VH7x7s4eiMCrSrb41VUEp6EJGBat4Iyc0EY0TY/Npx5iQeB8TobYIiOScCoSXsxdXRzLF1zXjW/uJczFk5PCyR4uDtgWL+6GDV5H5KSUmBsrHvH6Zst1c+n7301GrWC/oJN5TIIF+fTAIrO+QH+C9fi6c/LVetlzHDw/2W16v/xfgFy3TI7lsighSIpCbqkft0ycsqOqakxnPPZfbA2EWWk0aNV9+7dcfbs2SyXfffdd7LAo7Z2k0jP2E75BZv4MjzL5XYflYFdpdLw89mW7fOY2Nkg4WUY9EFklDIybWenH+n9b1KpuC3O33qFR4HKANTdJ1H4+14Y6lVwlI8TEpWR+tS7PoKhoQFMjQ1x5V7W+50uSUpRIDlF/fUL5qaGuPIwEglJitdvnweR0Ddif9l94gk6NPVUdbHJKDImUaZw62twQTh+4hrKlimCIcMWoWbtb9Cuw3hs2XJS083SLoUqwWDgHhj03gCDpt8C5mkp8JKlAwyafwfFvilAonpGoq5JSs7mOHQ/6+NwZEwyxEfQ1krjCaMf1LPQRNltolaJtGwgGwsjlC9sgWuPld//9lZG8HQxxR8XwxATnyK37+azr+BkY4QyhXS3e+TkOUdQv6YXalUt8sZ1o6LiYW1lqpPBhawYZTifNnF2lBkMCcEvUfH0JtQMOIcKx9fBtvbrM4KMHezg0q0tIs5d1bngQk5dvPwANeuPRvM2kzBhyka8CovSdJN0j+EHmvIojTa9T58++P3331+7fPTo0Xj0SD1KmVF8fDwiIiLUpkSkpU393xkYoOz8H/DyzBVE3nqQ5SoevTsh8vZDvDr/+uKVDjUrocBnLeC3fAt0nchOmT57Fz6q6Ini3m6abo5W6NemMFrVdEHLUX+hbPeTaP/jJXT/uBDa1HaVy70KWKKAkxnmbv4H4dGJSEhKkd0qnr+MR0iYsg+iLrM2N0LFotZYstcfQWEJsmaF6CJx7Z8ohIQnwsvVHAUcTTF3x1OERycpt8+BADx/lSCX65tjF/wRGZWI9k2yPoF9FR6PpRvv4NOPvaDPnj4NxsZNx1GksCt8VoxE1y6NMHX6euzcdUbTTdMKst7C/qlQbBkKxZ9LAfeKMOg0W63ylEGLH6G49gcQdA+6TnRZq+htiyW7niDoVbzyOHQ2CNceRCAkTH2YbSE+IQWzN/+LVjVc5O/qExFcEJxs1F93PhtjWS9HEMHPVYM8cftZLCp/dxsVvr2F1SdeYEX/IrCz1M1ubfuO3sHt+0H4tr8yYzM7L8NisGT1eXzWVj0rRmcZGMB73o8IP3MFMf+dT5t7FZI/i0wYjECfLbjZsjeirt5ChSNrYOFdWO3XPWeMRJ2Ia6j94hLMC7nBt/0A6CPRPeKnqd2xesUQjBreDpeuPETfgUuQLKKjRB+IVn7j/fnnn4iOjkbNmjXh4OCQ7bozZszINJRlFziiG5Sp5v9v5RZPgE3ZYjhbp1uWyw3NzVCwW2vcn7Lktc9hU6YYqv6xBPcnLUbIkawzOnTJpBnb8eBhIDasGqLppmiNA38FY8/ZIMweVBreBa1kBsP0dQ9UxR5NjA2xYHg5jF1+F9X7nYGRoQFqlnWQGQ6KtG73Ou3nXkXxw5p/UX/UVYib7qU9rNCqmhNuPYlWbp+BxTF29b+oPuyKXF6zlB3qlbWDnmweNdsOP0LdKq7I75T5LmBUTCK+nngGRT1sMfjz7NMsdZ1I4y5bxhMjhneSj0uXLowHD55h06YTaN+ujqabp3l3j6X9/8W/UIT8A8N+W6AoVAnwuwJ81AkwtQT+ev2NAl3zc/+S+GHFPdQfckF5HCpiI4PDtx6r3yEUBR+HLboNcQCa+JVu16XIzedv8tYAGYRYP1TUYDDEtvOvZA2GrSOLwsVOt7pIBAZFYNr8Y1g5/1OYmWV/+h0VHY+vR21HUU8nDO6tXtNLVxVbNAFWZYrhar207tEGhspgZuDyzQhavUP+XxR4tG9UE65fdcKjH+eo1n062wfPV26DeeECKDzuG5Rc8zN82/SDvmnVoorq/yWKF5RTk5YTcPHSfdSsUVKjbdMprMGgvQGGn376CVFRUZgyZYrqy6ZFixY4fPiwfOzi4oJjx46hTJnXnwSPGTMGI0aMUJt31O7DFFMqu3Ac8rdugLP1vkCcf1CW6xTo9DGMLM3xbO2uLJdblyqKmsdWw2/5ZjyYthS6bvLM7Th5+jbW+QyGa35lH1YCZm34B33beKBVzfxyc4gCYaLP7vLdfjLAIJT1tMGuGVXlCBLi5NXR1hSfjr+Msp4ZUpZ1lIeLOdaNKo2Y+GRExSbLQo/Dlz1AIWdl392yha2wa0I55fZJVsDRxgSfTveV8/WJf3A0zl8LwsIsijeK4EKfcadlkdBFY2vJwIw+c85nj6JF1euXeHkVwKHDyr6/lEF4ABQxrwAHdxlgMPD4CChQBgYj1EdNMvjyN+D2ESgOTNO5TeiR3wLrxlZETFwyouKS4GJvhuGLbquOQ4I4Pot54hi+ekwFvcteEJxtla85NDJJLVDwIjIJpdyVgc8L96Nx8lYkLs4sBWsLZcaC6Bpx7l4Udl0MQ7+mulUP5da9IIS+ikGHXmtU80Rh3kvXnmL9jr9x88S3MDIylMGFPiO2wsrSFIunt4eJsW5mc6TnvWA8HFs1xPUGnyMh3fm0KNooRN9Rr80Vc/dfmHmoZ8Amhb6SU+yDx4i+8w9q+p2W3SsiLlyDPivkng8ODtZ48jSEAQb6YN7pW08EArZt24YTJ04gODhYprynt2OHMsr4Jps3b5bdIFKJ5zx16hROnz6NUqVKyRoNIjthy5bXdxswMzOTU3omH6DnhwguuLZvivMNvkTs42evXa9Q7454vvs4El68yrTMurQ3ah1fg6drduHu2PnQZWKfmfLTDhw5fhO/rxiEQgWdNN0krRKbkCxrBqQnHqdkkZ5gY6n82D5+HiNHmxjSSb/S3MWIEGISXSHO3ArHyE4eWW+foDj4Po7GkE/coU92HHkMJztz1K/mlim40HvcKZiaGGHJ+NowM9X9k9Y3+eijYnj0+LnavMePn6NggQ+TAZfnWDsDFnbK0SLEcf3YL8CZdFXMrfPBoPM8KPZMAAJuQ5eJESPEJLqsnbn5EiM/81ILLjx5Hos1P1SAg41u3YXPKXcnExlkOH8/WhVQEIHhG09i0bWOo2oUCiHjWO+iZkVW3315XY3KHtjz+1dq88ZMOwCvwo7o+0V1VXCh9/CtMDU1wtKfOrwx00FXggv52jXF9UZfIC7D+bR4HO8fBMvi6sMGWxQrglcHlaOyZSU188HAzBT67vnzVwgLi2bRx/eNGQzZeqcj17Bhw7Bs2TI0bNgQ+fPnf20RsTcR9RXSjyCxf/9+dOrUCbVrK9PBxo4di86dO0PbiG4RotvDpU8GIikyGmb5lSejieGRqjF5BcuiHnCqVxV/teyXZbeImsfXIOTQGfw7d5XqOcQwlVkFI3ShW8TeA1ewZF5vWFmZIeSFcnQEG2tzmJsrvwDEvBehkfDzU5683n8QACsrc7i52sPeTrfvQjeslA+/7noCNyczOUzlncdRchjKjvXTLhIP/hUsT1ZFJfL7flGY9vtDNK7ijDrllSdruu60r7IAqmd+czwJicesrX6y9kKHWsrPzsHLocrt42iK+/4xmLbpCRpXckCdMvqTKZOSosDOI4/RrnFhteKNMrgw9hRi45Mxa2R1RMUkySl19Akjo3c7hud1PXo0Q9du0/Drsj1o8XE13Lj5L7ZsPYnJk3pCb4apdCiY9tjODXDxBmIjgbgIGNT6Cor7fwLRoYB9QeVQlK/8gccXletHBgHpa6gmKIv3IcwfiFLeedQ1p28oR9TwdLXAk6BYzNr0L7zcLNGhnqsMLgxdeBu3H0fh1xFlZUHI1NoMdtbGsuisLomOT4ZfSFrtiWehCbjzLFbWTxDH4e71nfDroWA5DGVBJ1Ms2BcEFztjNPlvVIlKnpawtTTC9+v8MehjZ9lFYuu5V/APTUSDMlmPTpGXWVuZyZEi0rO0MIG9rYWcL4ILvYZtQWx8EmaNbyUfi0lwtLeUAQhd471oAvJ3bSPrJYjzaZP/zoWT051PP539G4pMHIKoG3dl9wjX7u1hWdILtz/9Ri63qVYeNlXKI/zsFSS9CodFUQ8UmTQUsQ+fICKb2md5VXRMHPz80o6vz/xDcefuU9jZWcnC6YuW7kfzJpWQL58tnj4Nwax5u1DYwxl1a5fSaLtJv7xTgEEUZhRZCi1btszVH09KSlLLPjh//rwMXqQqUKAAXrxQH+5RGxQZqKy3UOvPdWrzr/b8Hs/W7FQ99ujVEXHPniPkcOaCYW6dmsPMxQnuX34ip1Qxj5/hmGdj6JqNW5W1Jb7su1ht/oxJXdGhbTX5/03bzmHRskOqZZ/3XpRpHV01tkcxLNj2CJNX3UdoRKKsvfBZowIY2CGtSF/wqwTMXPcQoeEJcLY3xSd1XTGg/ZurUOsKcfdr7s6nsnCjvZUxmn7kiOHt3FVp/sHhiZi5xU9uP2c7Ezl05YDW6S6e9MC5a0EICIlBh2bqd3tuPXyF6/eUF0bN+hxQW3Z0ZUu459ftAN7rlC/nhUULvsHceduweMkfcHd3xg/fd0PbNpm7l+gk15Iw7LJQ9dCwkbIujsJ3PxRHZgPORWFQpgVgbq3MWnh8CQqRsZCsf4VTU0XFJmHulkeywK69lQmaVs2H4Z095XHoWUgcjv8dKtdrN/aK2u+JbIbqpXQr2OnrF4seCx+rHs/cqcwGalfNHjO/cEefJvlklsL4TQGIiE1GZS9LrBhQRDUKh4O1sXw8f2+QfB4xioS3mxkW9/VAyYK6O4pEdl0ort8OlP9v+tkK9cK9276Gu5vuDTtYcMDn8mfFE+rDs9/tNRpB/51P+y9YI+uZieEqTRztEHX9Lm40/wpx/z6Vy1Ni4pCvfVMUmfgNjKwsER8YjFeHTuN2l2FQJOjescr3lh+69/5F9XjGLOWw9+3bVsfEsV3kzbldu/9CZGQsXFzsULtmKQwd3BqmpvqZTfV/o3vxvvfKQCFy19+Sp6cnDhw4gJIlc1cspGLFijKg0LNnT/j5+aFIkSLw9fVF6dKl5fJz587h008/xbNnr++CkJU9BiVy1S590CZ6nqaboNUUt3drugnaLUY5nCZlo4D2D7GrSQZerTTdBK2WMmeUppug9QzqK88V6DVeKYMd9Jr9p3LubpLpgz/z/6TpJmi1+jGvL+BOoh97E53dDCljqn+Qv2M44y/oTfxl4sSJsjZCbOx/6ZDvaNCgQRg8eDB69+6Njz/+GDVq1FAFF4Tjx4+jUqVKufobRERERERERO+tBsOHmPSpi4TIKti4caMc5UFkHZiYqKfd/P333zl6nr59+8LY2Bi7d+9GgwYNMGHCBLXlAQEB6NWr17s0kYiIiIiIiIi0PcDQo0cPXLlyBV988UWuijyK0SfEKBRBQUGyG8S8efNkkMHCQtn3bskSph4RERERERGRlmANhvcfYNi3bx8OHTqEOnXqIDemTZsmu1s0adJEBhV++eUXGXBYuXJlrp6XiIiIiIiIiPJA/KVQoUKwtVUOM5Qba9eulVkKIlixa9cu7NmzB+vXr5eZDURERERERERahTUY3n+AYc6cOfjuu+/w+HHa8ETvQowckX6oS5HJILpbiNoLRERERERERKTjXSRE7YWYmBgULVoUlpaWmYo8vnypHG/9TZKSkmBubq42TzxXYqLujVtLREREREREeRxrMLz/AMP8+fPxPigUCvTs2RNmZmaqeXFxcejfvz+srKxU83bs2PFe/h4RERERERERaUmAQWQX/Pnnnxg3bhw8PT1z9cfFaBRZZUcQERERERERkY4HGEQXhu3bt8sAQ26tWrUq189BRERERERE9MGKPNL77UHSrl07OeoDEREREREREdE712AoVqwYJk+ejLNnz6Jy5cpq9RKEIUOGcOsSERERERGRbmGRx/cfYPDx8YG9vT2uXLkip/TEMJMMMBARERERERHpl3cKMDx69Oj9t4SIiIiIiIhIm7EGw/83wUMMNSkmIiIiIiIiItJf7xxgWLt2LcqVKwcLCws5lS9fHr///vv7bR0RERERERGRNmUwfIhJn7pIzJ07Vw5TOXjwYNSuXVvOO3PmDPr3748XL15g+PDh77udRERERERERKRrAYaFCxdi6dKl6N69u2pe27ZtUaZMGUycOJEBBiIiIiIiItI9HEXi/W+ewMBA1KpVK9N8MU8sIyIiIiIiIiL98k4BBm9vb2zZsiXT/M2bN6NYsWLvo11ERERERERE2oU1GN5/F4lJkybhs88+w6lTp1Q1GM6ePYtjx45lGXggIiIiIiIiIt32TgGGjh074q+//sK8efOwa9cuOa9UqVK4ePEiKlWqBE37W9MNyAPaKJI13QStZlCwtKaboN2MzDTdAu1n7qDpFmg3Q1NNt0CrGbSvr+kmaL8Ufo9lJ2Hc6Q/2VuRFZnuHaLoJWq/ubx6aboJ2M7HSdAtIU7S0BsOpU6cwa9YsXLlyRZYt2LlzJ9q1a6da3rNnT6xZs0btd5o3b46DBw+qHr98+RLffPMN9uzZA0NDQ3nd/8svv8Da2vr9BxhGjBiBKVOmwMrKSjZe1FtYt25djv8QEREREREREb1/0dHRqFChAnr16oUOHTpkuc7HH3+MVatWqR6bmanfNPz8889lcOLIkSNITEzEV199hX79+mHDhg3vP8AgRo4YPXq0DDA0bNhQ/mEXF5cc/yEiIiIiIiKiPM3AANqoRYsWcsqOCCi4urpmuezOnTsym+HSpUuoUqWKKgbQsmVLzJ49GwUKFHi/AYYiRYpgwYIFaNasGRQKBc6fPw8Hh6xTgOvVq5fTpyUiIiIiIiKidOLj4+WUMUCQMevgbZw8eVImCYjr+EaNGmHq1KlwcnKSy8T1vb29vSq4IDRp0kR2lRDlEdq3b/9+AwyiP0f//v0xY8YMGBgYvPYPiGXJyewXSURERERERDrmAyUwzJgxQw6ukN6ECRMwceLEd3o+0T1CdJ3w9PTEP//8gx9++EFmPIjAgpGREZ4/f56ph4KxsTEcHR3lspzKcYBBFIgQU1RUFGxtbXHv3j12kSAiIiIiIiJ6z8aMGSPrIKaXm+yFLl26qP5frlw5lC9fHkWLFpVZDY0bN4bGRpEQFSRPnDghIx8iokFERERERERE709uu0O8iZeXF/Lly4eHDx/KAIOozRAcHKy2TlJSkhxZ4nV1G97bIBuiv4b4QxmFhobK9AoiIiIiIiIinSzy+CGm/7Nnz57J63c3Nzf5uGbNmggLC5PDXKY6fvw4UlJSUL169Rw/7zulIIgij1kRRShMTTm2OREREREREdGHIkoZiGyEVI8ePcK1a9dkDQUxiXoOHTt2lNkIogbDd999B29vbzRv3lyuX6pUKVmnoW/fvvj111/lMJWDBw+WXStyOoLEWwcYxCgSqYUcf/vtN9ldIpUo7Hjq1CmULFnybZ6SiIiIiIiIKG/QzlEqcfnyZTRs2FD1OLV+Q48ePbB06VLcuHEDa9askVkKImAgRoecMmWKWjeM9evXy6CC6DIhRo8QAYnUGMD/JcAwb948VQaDiGqk7w4hMhfEUJZiPhERERERERF9GA0aNHhtTwPh0KFDb3wOkemwYcOGXLXjrQIMIs1CEJGRHTt2yPEziYiIiIiIiPTCB6iPkJe9Uw0GMYoEEREREREREVEq49xUndy9ezf8/PyQkJCgtmzu3Lnv+rRERERERERE2umdxmHUH+8UYDh27Bjatm0rx868e/cuypYti8ePH8s+Hx999NH7byURERERERER6V78ZcyYMRg5ciRu3rwJc3NzbN++HU+fPkX9+vXRuXPn999KIiIiIiIiIm2owfAhJn0KMNy5cwfdu3eX/zc2NkZsbKwcsnLy5Mn46aef3ncbiYiIiIiIiEgXAwxWVlaqugtubm74559/VMtevHjx/lpHREREREREpC0MPtCkTzUYatSogTNnzqBUqVJo2bIlvv32W9ldQgxdKZYRERERERERkX55pwCDGCUiKipK/n/SpEny/5s3b0axYsXeegSJI0eOyGCFqN/QqFEjnDp1CjNmzEB8fDy+/PJLfPXVV+/SRCIiIiIiIqL3Kw/XR9DaAIMYPSJ9d4lff/31nf74unXrZAChfPnyMjCxcOFCDB8+HJ06dUJKSgr69+8PGxsb+ZiIiIiIiIiIdCzA8L7MmTNHTkOGDJFDX7Zp0wbTpk2TQQahdOnSmD9/PgMMREREREREpHlMYHg/AQYHBwcY5DAd5OXLlzla78GDBzKoIDRu3BhJSUnyZ6pWrVrJ7hLapkr/rqgyoCvsixSUj4NvPcCpyUvw8OAp+djIzBTN53yPMl1awtjMFA8PncH+gZMQHRya6bksHO3R//ofsHV3xUz7KogPj4QuWrbyGA4fv4l/H4fA3MwYlSoUwcghreBVxEW1zvip23Du4gMEh4TD0sJMtU5Rz7R1dNXCVRexaM0ltXmehexx8PfPERYRJ5efufwUgUGRcLS3QJM6nhjaqzpsrM2gj5avu4g5y86ge+dK+HFIQ9X8q74BmLfiLG7cDoShoSFKFXOGz5wOMDczga7bsO0iNm6/CP/AMPm4mJcLBvZugPq1i8vH8fGJmDn/IPYfuYmEhGTUqeGNCaPbIJ+TNfTd+vWH4eOzFyEh4ShZ0gPjxvVA+fLe0DeNvtqPgOCYTPO7tSqK8QMrYfzCKzh/LRjBL2NhaW6MSqWcMPKrcvAqZAt90Kj3oay3T0tPjB9QEV+OOY1LvuqFrj/7uAgmDaoEXWRQtgqMOveCYbEyMHByQeLEwUg5fyxtBXsnGPf+FoaVawNWNlD4XkbS4mlQBDxRf55SFWHccygMSpYHklOg+PcuEn/oAyTEQ9dcunwfPqsOw/f2E3m8WfzLADRpnLZ/HD7yNzZt+RO3bvshLDwau7aNQ6mShaCrLvnFYeVfkbgVlICQqBQs7OCEJsUtVcsXnQ7H/jsxeB6ZDBNDoLSrKYbVt0OFAmnnPo2XBCAgIlnteUfUt0PfmvpxXFq4aCcWLf5DbZ6npysO7p+psTYR5TjAIDIJ3jcTExPVaBSCmZmZHO4y/WMxBKa2iXj2HEe/n42XD57IPjgVe7RDlz8WY1ml9gi5/RAfz/sBxVrVx9bOw2TAoMWicfh0xyKsqtM103O19ZmGoBv3ZIBBl1288i8+/7Q2ypUphOTkFMxdtB+9By7Hvu2jZDBBKFPKHW1aVIKbmwPCw2OwcNlh9B60HMf2/AAjo3ca8CRPKVbEEavmtFU9Tn3NwS+iERwajdEDasG7sCP8gyIxce5JBL+IwYLJH0Pf3LjzHJt230CJovnU5ovgQp+RO/D1F9UwblhDuf3uPgyBoZ70k3N1scXIwc1QuJATFAoFdu27ikEjN2DnugEoVjQ/ps87gD/P3Mf8GV1kYGrKrH0Y/N1GbPLpC322f/95zJixDpMm9UKFCt5Ys+YAeveeiYMH58DJyQ76ZNv8xkhOVqgeP3gSjl5jT6N5HWUwvYy3A9o09ICbsyXCIxOwaP1t9B53Gkd9WsLISPc/Z9vmNkBySvrtE4Fe486qto/QuXkRDPm8lOqxhZkRdJWBuQUU/95D0qEdMJmwMNNykwmLgOQkJE4cBMREwahDT5jMXImEvq2B+FhVcMFk2nIkb1qOlCXT5PoGXiUBRQp0UUxsPEqUcEfH9rUxeNjSLJd/9FExtGheBWMn/g5dF5uoQIn8puhQ3gpDdma+CVfE0RhjmzmgkL0x4hIVWHMpEn02h+DQ125wtEz7bH1T1xadK6RdP1iZ6v7xKL1i3gWxauUo1WMjY9097mgNPTm3/L8HGHr06IHk5GTMnj0bu3fvloEBkW0wYcIEWFhYvNMf9/b2xt27d1GiRAn52N/fX9ZcSCWGv3R3d4e2ub/3hNrj42Pny4wG9xoVZfChUu+O2N5tJB6fuCCX//HVDxh89wAKVq8A/7+uq2VCmNvb4M/JS1CsZX3oMp/F6hcxMyd1Qc3GE3Hr9jNUrVxUzvusY9oIJO4FHDFs4Mf4pMtc+Ae8hEch9YtJXSRO0J2drDLNL+7lhIWTW6geexS0w7A+NTBq2hEkJaXA2Fj3gy+pomMSMGryfkz9rimWrvlLbdmMhSfxZadK6PdFNdU8Lw9H6ItG9UqqPR4+sCk2br+Ea77P4JrfDtv/+Buzp3ZCzarKGjrTx7dHy84LcO3mU1Qsp7t3yN5k1ar9+PTThujYsYF8PGlSb5w8eQ3bt/+Jfv3SAn76wNFOPSNqxba78HCzQrVyzvLxZy3S6i+557fCsO5l8Mngo/APjoaHm7Uebp/7yu1TNp9aQMHZwRz6IOXyaUBMWTAoWASGpSsioV8bKJ48lPOSFk6C6abTMGzYCikHt8l5xl9/j+Rd6/7X3n2ANXV2cQD/s1FAlCXDvffee69q3bZuq9W62mrVz2q1btHW1rbuvWfde9vWVlu1ahW3FUVEAVH2hnzPuSmBICCKkpD8f495MPeGcHNz53nPe14kbF+p+V2V7wMYqsYNKyqP9HR6v67y0/excQz53qh4LuWh9nKAoX157WuiL5vnxc6rEbgdEIe6RZJvom0sTeFsa7w31WbmpnB2zqvrxSDSeK07k9mzZ2PixIlKloGHhwd+/PFHjBgxAm9K3ku6XiTJkyePVjeMixcvokePHtBnJqamKP9BO1jY5Majc5fhVr0CzCwtcf/EWc1rgm7fR/DDxyhYt4pmmlPZ4mj09XDs7jceqkTDjNRnJCwsWvlpb5+cCpc6ir9r3wUU8HCAq6txHDQfPg5Bg65r0LznBoyZeQx+/ul3lwkPj4VtbkujCi6I6fNPoXHdYqhXo7DW9KAXkfjnxlM45s2ND4dtQb33l6LPyG24ePUxjJFkCR08dhWRUbGoWrEgvG76IS4+AfVqqYN5ongRZ7i72isBBmMVGxuP69e9Ua9eBc006Vojzy9fvgtjFhuXiH2nfdClZZE0u0dGRsdj1/EHSqDB1Snt47jhr59H6NKisNb62f/LI9TpdRAdRpzAd+uuIyo6HkbJQt0tTZWym4NKBcTFwrR8NfVzeweYlq0MVXAQLOZvVoIPFt+uh0nSfKIUYhNU2H4lHHZWJijjot3tceWfoajzw2N0Wf0Uq/4KRXyKTCNj8PChPxo0GoXmLcdhzLil8PN7OVhDb5lpNj2Mocjj+vXrsXjxYnzyySfK8xMnTih1ElauXKlclL2uzp07Zzj/yy+/fOV7yHCW8kgpHokwf8ffikuFUhh0bivMra0QGx6JbZ1H4NnNf+FapSziY2JfqqUQ4R8EW1d1K5CZpQW6bvkex8d9i9BHT5CvmHG1HsoIIbPn7UW1KkVQqoSb1rxN2//AvB8PKjdGRYs4Y83iIbC00Gkt0mxRqVx+eH7ZXKm7EBgUiUXrLqD3Z7uwf01PJZCQ0vPgKCzecAEfdCgPY3LwxC3cuOOPHct7vzTvkZ+67sDCNefwv+GNULakC/YcuYEBo3bgwLp+KFIwOZBpyG7fe4oPB65ATGw8cueyxKJve6FEMRfcvPMEFhZmyGOnnW3m6GCLwCDDrPuSGS9ehCnBmNRdIeT5/ft+MGYn/3yMsPA4dG5RRGv65gP/Yt6aq4iMTkDRAnZYPashLKVztJE5+acfwiLi0Ll5Ic209o0LwN0lN1wcrHHnQSjmrfXCg8dhWDAxOTvPWKgeeUPl7wfzgaMR/+NUIDoKZl36w8TZDSYO6mshEzf1tY9535GIX/ENVP/egmmLjrCYswZxn7z/Uq0GMk6n70Vh7N4gpTuFZCms+tAZ+VJ0j+hbww7l8lvAPpcpLj+OxfxfghEYnoAvmxvHeb9SpeLwnP0xihZ1Q2BgMBYt2ovefWZj//6ZsLV5swxzoqx6rTs3Hx8ftGvXTvO8RYsWSuTez8/vrXZl+PXXXxEREYG6detqZTikRYpATps2TWtaYzigKd5tSv2z295YWqUTrO3tUK5ba3RaNxdrG/fJ1O829xyjBCOubdoHYzRtzm7c/fcpNq9+Ofvl/bbVUL9OKQQGhmLVhl8xavwGbFkzElYGXqSvce3kFvkyxYHKZfOj6Yfrcfj0PXR/r5xmXnhELD6ZcADFCztg5ICaMBZS3HLWT79g9fddYWX18mErKQnog/croet76tbocqVccO5vH+w86IUxQxvCGBQt7IQ9m4YjLDwaR09ex/ipO7Fx2SBdLxblQDuOPUDDGq7I76h9gSo1GOpVdUHgi2is3nkHozz/xJZ5TWFlaVzpyTuOP0TD6vm11s8HbYpq/l+6iL3SVWLApN/h8yTcKLqQaJHaC9M/hfkXM2G18y+oEuKhunwOCed/S+66bKr+T8KhbUg8tlv9/39vwrRKHZi27oKENfN1+AFIX9QuZIVdA/PjRWQifv4nAqP3BGFbv/xwtFEfcwbUSu5aXdrFUikGOfXoC3zROC8szQ2/n3zjRpU0/y9TuiAqVyqGps3H4vDh8+jezbC7X5OBBBhklAdra+uXCjXGxcW90R+fO3cuwsPDMWPGDOW5FCZr27Ytjh07pjx3cXFRhq8sXz79ltoJEybgiy++0Jr2rX11vGuJcXF48a+P8v8nl67DvWZF1Pm8H7y2HVZGjrCyt9PKYrDJ74jwp4HK/4s2qwOXiqWUwITiv7Pt/579iTOzluKXqS8XSzIU0+fswi9nbmDjyuFwzf9y1wc7u1zKo0ghZ1SuVBi1Gk/G8dNeaN/GMKtwpyePnRWKFMgLn8chmmnhkbH4+H/7YSMt0zPawsKIivhcv+2vdIPo8vFGzTQpRnfhH19s2nUFRzZ9pEwrXkS75oI89wswnhZ6yfaRIo+iQlkPXLvxGOu3nkPblhURF5eA0LAorSyGoOfhcHZMvjgzNvny2SnFQIOCkvczIc+dnIyja1ZapKbCuSv+WDCx3kvz7GwslEcRDztULu2I2h/sxfGzj9G+SXJLvqF7HBCJc/8EYMGE2hm+rlJpdQPJwyfGUaMiNdW9G4gb3gXIbavuMhHyAhY/boXqznX1/CD1NZHq4b/av/foPkxctLMbyXjltjRFYXnkA6p4WKH1sidKHYYh6YwSUcndCvGJwOOQeBR1NOzGqbTkyWODIkVc4eMToOtFMWws8vj2AgwSABgwYIAyukOS6OhoDB06FDY2yYVYdu3alan327ZtG8aPH695vmPHDvz22284c+YMypYti379+inZCdu3b0/3PWRZUi6P+kOZ6qQWgwxP+eRvLyTExqJY87q4uUsdKHEsVRR5C3vg0bkryvPtXT+Fea7kQI1HzYrouMYTaxr2xvP/ghaGRradGXN3K8GCDSuGoaCHYyZ+Sfmn9JM2NlLM8JFfCJxbldJkLgwatw+WFmZYMrtdmq34hqxOjULYv66f1rQJnkeVIo6De9dEQXd7uDjZwPvRC63XPHj0Ao1qJ7cqGptElUoZkrJCWXclIHXuwn20bqYO2MqQsX5PQ4y6wKOlpTnKly+Kc+euo0WLmpouXPK8T59WMFZSW8HR3hqNa71qdCOV+hgdZ1x1hHadeAhHeys0rpnx+rl1Xx24cjGSoo/pigxXfpi4F4ZJyQqIX/eTerr/Y6ie+cOkgPYx2sSjsLqAJFE615Ox8enXWLgVEKskxzj8l+FgbCIiovHoUQCc3385QEyUXV7rLkVGkkitT5/MdQtIi7e3NypVSk7tOXToELp164b69esrzydNmoTu3btD3zSf/QXuHv4NIT5PYGVng4q92qNIk1rY2HoQYkLDcXnVTrT6/ktEPQ9RnrddMAmPzl7SjCDx4r52UbXcTupWjsCb/75Uu8FQTJuzCwcOX8bi+R/BJrcVAp+FKtPtbHPB2toCj3yDcOjYFdSvUxoO+WzwNCAEy9ecgrWVBRo30K6Ob4jmLv4DTesVgXt+O2VIygVrzsPU1ATtm5dSggsDx+5DVEw8vv2qpfJcHsIhby6jGMJT6lCUKqbd7Sm3tQXy2ltrpg/qWRMLVp9FmeLOKFvSGbuP3MD9h8/x04wOMAbfLTyGRvVKwc3VHhGRMThw5CrO//0Aqxb0g52tNbp2rIY58w/DPk8u2NpYYea3B5UCkMYcYBAffdQO48cvRYUKxZS+rDJMZVRUNLp0Mc7U0sREFXYff4hOzQvDPMWx5dGTcBw644v6VfMroyk8fRaJFT/fVrpGvOpG2+DWz4mH6NSskNb6kW4QB371RaMa+ZHXzlKpweC58hpqlHdE6aIGOtypdW6YuCdnrpi4FlCGmFSFhQCBT2DasDVUIc+hCngC06KlYD50IhLPnYTqUnIR7IQdq2HWdyRU928h8f4tmLXoBJOCxZAwcxQMUURkNHx81JkbSaNF3Lz1SCl47e7miOCQCDx58hwBAeq6Qt7eT5WfTk554OxkeNtRRGwifF4kNyL5Bifgpn8s7K1NkTeXKZadC0XTErmU2gvBUYnY/Hc4/MMS0LqMurDs5ccxuOoXq3SjsLEyxZXHMZhzMhgdyudW3sMYzP1mK5o2qQJ3D0dlu1mwYI9SF6/9exlnWFEWGX7vm+wLMKxZswZvk3S5SJl9cO7cOYwalXxScXd3x7Nn+jdUj42LIzqvnwtbNxclIOB/9bYSXEgaOeLI6NlonZiIHjt/UrIa/j36Ow4O164TYWy2/HxO+dl3sPa4z55TP0CX92vC0socFy97Y93mMwgNjYKjoy1qVCum1F9wdDD8FO6ngeH4YsYxBIdGw8E+F6pXdMP2xd2UAMJflx/jn5v+yuta9k7uIiBObumLAm5ppwkamwE9qinZLp4Lf0FIaDTKlHDG6vndUMjDOFLdg15EKDUXAp6FKQGF0iXyK8GF+rVLKPMnjm4LUxMTfDZ+q7KeGtQpgSnjjSP4kpF27eri+fNQ/PTTDqVAVtmyhbFy5ZdwMsCL+cw4e8UffoGR6NJKu7ijpaUZ/r7+DOv33kVoeCwc81qjRgUnpf6C/N9YnL0SAL/AKHRpqT2SjYW5qTJv3b57iIpOgJtTLrSq545hH6iH4TZEJqXKw/Lb9Zrn5kPVhbkTju1G/HcTlWKO5p+MB/I6As+fIeHEXiRs1r4GSNi9HrCwVP+unT1U928jbsIg4Ilhjm7j5fUQ/QZ+p3nu+c3Pys/OHetizqyPcOr0P5gwaa1m/uhxK5SfI4e1x6cjDG/Y3OtPYtF/S3LAZe4pdWClU4XcmNrGAfeD4rHnWhBeRCUoAYeKrpbY2McFJZ3VXR8szUxw6GYkFv0egtgEoIC9GfrXtMOAmoZ/3Zjk6dPn+GLsUgQHh8PBwQ7Vq5XE9q2T4eDAa0PSHROV5BrpSJUqVZSAgnS7kAKSRYoUgZeXF8qVUxe1O3v2rDJMpa+v72u97zQTwz2hvy1TwufpehH0W6i3rpdAv5lpd0uiNFgbRwXrN5YnechMepnqXua6Ghq1xARdL4Fei/10r64XQa9ZHViq60XQe4kb1TXSKG2m/bl+MmRa12A3ncS1LbPl75gOOI6cSKcduUeMGIGRI0cqNRcke6FOnTqa4II4deoUqlY1ruJ+RERERERERDmRTgMMgwcPhrm5Ofbt24cmTZpgypQpWvNl+MuBAwfqbPmIiIiIiIiIknAQiYzptAKKVOsOCAiAv78/Lly4gPnz5yMqKkozf/HixejcubMuF5GIiIiIiIiI9D3AMGvWLEycOBF2dnbw8PDAjz/+qHSbICIiIiIiItLLFIbseORQOg0wrF+/XslSOHr0KPbs2YP9+/dj06ZNSmYDEREREREREeUcOg0wyMgR7dq10zxv0aIFTExMlNoLRERERERERHrFJJseOZROAwzx8fGwttYeP9vCwgJxcXE6WyYiIiIiIiIiymGjSKhUKgwYMABWVlaaadHR0Rg6dChsbGw003bt4njgREREREREpGOmOTi9wNADDP37939pWp8+fXSyLERERERERESUQwMMa9as0eWfJyIiIiIiIso8JjDobw0GIiIiIiIiIjIMOs1gICIiIiIiIsoxTJjCkBFmMBARERERERFRljHAQERERERERERZxi4SRERERERERJnBHhIZYgYDEREREREREWUZMxiIiIiIiIiIMoNFHjPEDAYiIiIiIiIiyjJmMBARERERERFlBmswZIgZDERERERERESUZcxgICIiIiIiIsoMU6YwGF2A4etLLXS9CPovl4uul0C/WTvoegkox+PJh7Kw9RRuxdX3KjEvuI4yYLmAqydDFrZcQa9g2rYT11GGK8iS64fIWAIMRERERERERG8d25AyxBoMRERERERERJRlzGAgIiIiIiIiygwTpjBkhBkMRERERERERJRlzGAgIiIiIiIiygwmMGSIGQxERERERERElGXMYCAiIiIiIiLKDNZgyBAzGIiIiIiIiIgoy5jBQERERERERJQZrMGQIWYwEBEREREREVGWMYOBiIiIiIiIKDNMmcKQEWYwEBEREREREVGWMcBARERERERERFnGLhJEREREREREmcFhKjPEDAYiIiIiIiIiyjJmMBARERERERFlBjMYMsQMBiIiIiIiIiIyzACDt7c34uPjdb0YRERERERERNoZDNnxyKH0MsBQunRp3L17V9eLQUREREREREQ5oQZDly5d0pyekJCAzz77DHZ2dsrzXbt2ZfOSEREREREREaViopdt9HpDp2tnz549eP78Oezt7bUewtbWVus5EREREREREekvnWYwbN68GePGjUP//v3x0UcfaaZv3LgRs2bNQrly5ZBTJCSqsPDn+9j3+xM8C46FSz4rdG7shmFdisLkvz40ZT48kebvjutdAoM6FIExWbBwFxYu2qM1rWhRNxw5NFdny6RvEhISsWDRHuzb/yeePQuBi0tedO5UH8OHdtBsU8asWYtxeOwX9NL0Xj2bYsrkvjpZJn3TrMXYdNZRM66jFDZtOoZVqw4gMDAEZcoUwuTJ/VGpUgkYmwsX72DVmmPwuvFQWReLfhyGFs2rKvPi4uLxw4K9+O3MNTzyfQZb21yoV6csxozugvwueWEMlq0+jWOnvXD/QQCsrSxQtVJhjP2sHYoVcdZ63eWrDzF/0VFc9fKBqZkpypZyx6qFg2BtbQFD1mzQUfgFRL40vVe7ovh6WBX0nXAGF7yeac37oE0RTBuh3saM1YULN5Xjj5eXNwIDg7Fo0Wi0aFETxmjBmr+wcO15rWlFC+XFkQ3qc3pMTDzmLP4dh07dRWxcAhrULIQpo5vAySE3jB3PY9nMlNfhehtg+PDDD1GnTh306dMHBw4cwMqVK5EvXz7kRCv2PsCWE76YM6w8ShSwgdf9UExcegO2uc3Rr20h5TVnljbU+p3frgRh0rIbaFXLBcaoZAkPrFk9XvPczNxMp8ujb1asPIQtW3/BXM9BKFHCA15eDzDhq1Wws82Ffn1bwtjt2D4ZCQkqzfO7d33x0cffoU1r47wwS8uO7V+nsY7mcR2lcOjQOXh6bsS0aQNRuXIJrFt3GIMGzcGRI9/B0dG4Mugio2JQunQBdO1cHyNHLdGaFx0dixs3fDDsk/YoU7oAQkMjMWvOVgwbuQi7tn8FY3D+0n307l4XFcsXUALA3y88ikEjVuLgjjHInctSE1z4eOQqfPJRU0z+3/swMzPDrTt+MDWCi9Ed3zdRGluS3H0YioGT/0DrBh6aad1bF8Fnvctqnuey4nk/MlL2u8Lo2rUJRo6cD2NXsqgD1nzXSfPczCw52Xr2wjP49c8H+GFaG9jZWGHGD79i5ORD2LqoG4wZz2Okb3QaYBBFihTBb7/9hmnTpqFy5cpYsWJFjmydvXwnBM2rO6NJNSfleQGXXDh49imu/RuqeY1zXiut3zl1MRC1y+VDwfzGGXmVgIKzs3G0fL2Jy1fuoXmzKmjSuLLyvICHEw4e+gtXr3nretH0goNDHq3ny1ceRKGCLqhVs7TOlknfcB292po1h9CjR1Pl4l5MmzYIv/xyBTt3/oohQ96HMWncsKLySIudXW6sWTlaa9rkib3Qveds+D0JgrubIwydZCGkNGdad9RtMQPXb/qiZrViyjTP7/aj74f1MeSjpprXpc5wMFQO9trXOCt23EEhNxvUqqC+LkoKKDjns9bB0umvxo2rKA9KDig4O9q8tDrCwmOw89ANzJvcGnWrFVSmzf6yOdr124Qr15+iSnlXo12FPI/pQA68V81OelGhwtTUVAkwSJeJYcOGKUUec5qqpexxzus5vP0ilOe3Hobh0u0QNKqS9kXXs+AY/Hr5Gbo2TY7sG5uHD5+iQaPP0LzlGIwZtwR+ftqpk8auapUS+PPPm/B+8FR5fuuWD/6+dBeN0rkBMGaxsfFKV5KuXRrkyABl9q2jc+japSHXUYp1cv26N+rVq6B1PpLnly9zJKNXCQ+PVLalPHbGGSQPC49WftrnUX/+oOfh+MfrERwdbPHhR4tQr+UM9Bm8FBcvG19QODYuEftOP0KXFoW1jjf7f3mEOr0OosOIE/hu3XVERXNIctL20DcYDbqsRvMP12HMjKPw8w9TpnvdCUBcfCLqVVcHF0Txwg5wz2+HK9efGO1q5HmM9JHOMxhSatCgAa5evYp///0XJUpkrv9rTEyM8kjJMjYBVpbZm3Y3pGMRRETFo92YczAzNVHSBEd9UBwdGril+fo9vz2BjbUZWtUyjpaN1CpVKg7P2UNQtKjrf30O96B3n1nYv382bG1y6Xrx9MKQwe0QHhGFtu99pUT0JSV39Odd8H6HurpeNL1z4uQlhIVFonPn+rpeFL3FdfSyFy/ClP0qdVcIeX7/vl+2fTc5UUxMHObN34X32tVU6jEYm8TERMyetx/VKhdBqRLqltNHj9X1ThYuP4H/jWqn1F7Yc/ASBgxbgQPbv0CRQskt+Ybu5J9+CIuIQ+fm6i6ion3jAnB3yQ0XB2vceRCKeWu98OBxGBZMrKPTZSX9Ualsfnh+2QJFC+VDYFAEFq09j96f7sT+tb3wLCgSFhamyGOnnSnjmC8XAp+/XPvDWPA8piMcRSLnBBiSRo8IDg7GiRMnULdu3VfWZPD09FSyH1L6ekgNTB1aC9np8J/+2P/7U8z7tAJKFLDFrQdhmL3+zn/FHt1fev3OX/zQvoFrtgdC9EXjRuq0f1GmdCFUrlQcTZt/gcOHz6N7t8Y6XTZ9cfjIBew/8Ce++3aIUoPh5i0feHpu0RR7pGQ7d51RMjvyu+TMGi7ZYeeu37iO6K2Qgo+fj1kGlUqFaZN7G+VanTZnL+7+64/Nq4ZqpiX+V3/ggy610fV9dS2YcmU8cO78PezcewFjPm0LY7Hj+EM0rJ4f+R2Tg08ftCmq+X/pIvZKV4kBk36Hz5NwFHKz1dGSkj5pXCe54HmZ4k6oXNYVTT9Yi8On78LaUu9uWYhIH7tIzJ07F5MnT9Y8l4uVNm3aoGnTpmjfvj3Kli2L69evZ/geEyZMQEhIiNZjwsDqyG7fbryLwR2L4L16rihdyBYdG7lhQLuCWL73wUuvvXjzBbz9ItG9mfF2j0gtTx4bFCniCh8ff10vit74Zt52DPm4Hd5rVxulSxVAp/froX//Vli24qCuF02vPH78DGfP3UC3ro10vSh6i+sobfny2SnZQUFBIVrT5bmTE+vDpBdcGDVmOfz8nmP1itFGmb0wfe4e/PL7TaxbNgSu+ZO3E2cndV2Y4sW0CzcXL+oCv6fBMBaPAyJx7p8AdG9VOMPXVSqtDgg/fKLuWkqUmmQrFCmQFz6PQ+DkmBtxcYkIDdPOWg56EQVnIx5FgucxHZGuX9nxyKF0GmDYtm0bKlRI7vu6Y8cOpeDjmTNn8OzZM9SoUeOl7ITUrKyskCdPHq2HLrIComITYZpqQ5Cq0YmJL792x2k/lC9mhzKF7bJvAfVcREQ0Hj0KYNHHFKKjYmFiqr2LmpmaQpWiSjcBu3b/DkeHPGjSuBJXxyvXUXLmEAGWluYoX74ozp27rpX6Ls+rVi3JVZROcOGhTwDWrhyNfHmNq9VZGkEkuHD89HWsWzoEBT0ctOYXcM8HF+c88H4QqDX9gc8zeLgZT3bVrhMP4WhvhcY1My66d+u+OrDnwqKPlI6IyFg88guBs4MNKpRygYW5Kc5deqSZf9/nhVKjoUr5tLsjGwOex0gf6TTfyNvbG5UqJd8UHDp0CN26dUP9+ur070mTJqF79+7ICZpWc8LSPd5wc7JWhqm8+SAMaw/6oGsT7e4R4ZHxOPqXP8b3KQVjNvebLWjapCrcPRwREBCMBQt2KcXV2r/HvphJmjatgqXLDsDdzUHdReLmQ6xZd1Qp0kfJN4O7dv+BTp3qwZzDnGawjn5Hp071uY7S8NFH7TB+/FJUqFBMqQ0jw1RGRUWjSxfj66oVERkNH5/km2Pfx89w89Yj2NvnhrOTPT77YpkyVOWyRSORkJiIwGfqG0R7extYWhh++vK0OXtw4MgVLP6+P2xyWyHwmbr4nJ2tNaytLZRihoP6NcKCpcdRppQbypZ2x+79f+P+gwD8NLcPjIF0E9l94iE6NSsE8xTDC0o3iAO/+qJRjfzIa2ep1GDwXHkNNco7onRR4xoONq0GFh8fdTFn4esbiJs3H8De3hbu7sZTt0PMXfw7mtYrqhRuDAiKwILVfymNde1blIKdrRW6tiuHOYt+h72dNWxtLDHzx19RtbyrUY8gIXge0wEjGHo4K3R6RRAfH69kICQ5d+4cRo0apXnu7u6uZDLkBJM+Ko2ftv+L6atvISgkVqm98EELDwzvqh66KokMXalSAe/VN+6D4dOnz/HF2MUIDg6Hg4Mdqlcrhe1bv35pWD1jNumrXvjxp92YNn0jgp6HKrUXPujRBCOGGdfQeRmRrhEyRB6DLlxHb6pdu7p4/jwUP/20Qyk4W7ZsYaxc+SWcnIzvpsfL6yH6DfxO89zzm5+Vn5071sXI4R1w6vQ/yvOO3WZo/d761WNQu5bhDw+7Zcefys++Q5ZpTfec0h1d3q+h/H9Ar4aIjYmH5/cHEBISqQQaVi/6GIUKGv4wnuLslQD4BUahS0vt7hHS8izz1u27h6joBLg55UKreu4Y9oHhbzev4uV1H/36zdQ89/TcqPzs3LkR5sxJrvFhDJ4GhuOL6UcRHBoFh7y5UL2iO7Yv6aH8X0wc2VAJOHz29SHExiWgQc1CmDJaPcSwMeN5jPSNiUpy/nSkSpUqSkBhwIAB8PHxQZEiReDl5YVy5cop88+ePYsePXrA19f3td5XdXnEO1piw2FSuZ+uF0G/qTh0FmUVo9sZMtOuBE6pxIVzlbxKzAuuowyo/NQBEUqbSamckSGrU0/P6XoJ9JsrR/XKWPbXxMsuqlMfZsvfMWm2FTmRTjMYRowYgZEjRyo1FyR7oU6dOprggjh16hSqVq2qy0UkIiIiIiIiUuMwlfpb5HHw4MFYsGABnj9/jiZNmmD37t1a8/38/DBw4ECdLR8RERERERER5YAAgxQfCwgIgL+/Py5cuID58+cjKipKM3/x4sXo3LmzLheRiIiIiIiISK+Hqfztt9/QoUMHpY6hFB7es2eP1nypjPD111/Dzc0NuXLlQosWLXD37l2t10jDf+/evZWRGfPmzYtBgwYhPDw85wQYZs2ahYkTJ8LOzg4eHh748ccflW4TRERERERERJQ5ERERqFy5MhYtWpTm/G+++QY//fQTli5dir/++gs2NjZo3bo1oqOjNa+R4ML169dx/PhxHDhwQAlaDBkyBDmmyGPJkiUxduxYfPLJJ8rzEydO4L333lOyGGTIwjfFIo+vxiKPr9qIWOSRsopFHjPEIo8ZY5HHV2ORxwyxyGPGWOQxE1jkMWMs8mi8RR5/zZ6hh2PrrEJMTIzWNBmBMeUojOmRDAYpP9CpUyfludzyS2bDmDFjlPtvERISgvz582Pt2rX48MMPcfPmTaUeovQsqFFDPTrSkSNH0K5dO2XQBfl9vc9gkJEjZIGTSJqGrAypvUBERERERERkjDw9PWFvb6/1kGlvwtvbG0+fPlXut5PI+9WuXVsZbEHIT+kWkRRcEPJ6afiXjIccMYpEfHw8rK2ttaZZWFggLi5OZ8tEREREREREpMtRJCZMmIAvvvhCa1pmshfSIsEFIRkLKcnzpHny08XFRWu+ubk5HBwcNK/R+wCDpGoMGDBAa0VJH5ChQ4cqfUKS7Nq1S0dLSERERERERJS9rDLZHULf6DTA0L9//5em9emTPX1aiIiIiIiIiF6Lac6rs+Xq6qr8lNEbZRSJJPK8SpUqmtfICI+pexzIyBJJv6/3AYY1a9bo8s8TERERERERGbSiRYsqQYKTJ09qAgqhoaFKbYVhw4Ypz+vWrYvg4GD8/fffqF5dXaTz1KlTSExMVGo15IgAAxEREREREVGOYaKfGQzh4eG4d++eVmHHK1euKDUUChUqhFGjRmHmzJnKSI4ScJg8ebIyMkTSSBNly5ZFmzZtMHjwYGUoS6mLOHLkSGWEicyOICEYYCAiIiIiIiLKwS5evIimTZtqnicViJSyBDIU5f/+9z9ERERgyJAhSqZCgwYNlGEoUw66sGnTJiWo0Lx5c2X0iK5du+Knn356reUwUUmlRQOjujxC14ug90wq99P1Iug3Vbyul4ByPP2MbusNs5xXtChbxYXregn0X8wLXS+BXlP5/anrRdBrJqW663oR9N9T9dB1lA7Xulw1GVKn2Bsi1dmB2fJ3TOqtRk6UPWNsEBEREREREZFBYxcJIiIiIiIiohxcg0FfMIOBiIiIiIiIiLKMGQxEREREREREmWHKDIaMMIOBiIiIiIiIiLKMGQxEREREREREmWHCNvqMcO0QERERERERUZYxwEBEREREREREWWaYXSQcPHS9BPovIUbXS6Df4kJ1vQT6zTy3rpdA/yXG63oJ9BuHeMpYhG82fRE5WHSwrpdAr5kUbKzrRdBvvA56NQvbbPgicrC4CF0vgX6zgOHiNUyGmMFARERERERERFlmmBkMRERERERERG8bMxgyxAwGIiIiIiIiIsoyZjAQERERERERZQYzGDLEDAYiIiIiIiIiyjJmMBARERERERFlhinb6DPCtUNEREREREREWcYMBiIiIiIiIqLMYA2GDDGDgYiIiIiIiIiyjBkMRERERERERJnBDIYMMYOBiIiIiIiIiLKMGQxEREREREREmWHCNvqMcO0QERERERERUZYxg4GIiIiIiIgoM0xNuJ4ywAwGIiIiIiIiIsoyZjAQERERERERZQZHkcgQMxiIiIiIiIiIKGcHGCIiIjBs2DB4eHjA2dkZH374IQIDA3W5SERERERERESU0wIMkydPxoYNG9C+fXv07t0bp06dwpAhQ3S5SERERERERETpD1OZHY8cSqc1GHbv3o01a9age/fuyvO+ffuiTp06iI+Ph7k5y0MQERERERER5RQ6DY34+vqifv36mufVq1eHhYUF/Pz8dLlYRERERERERGkXecyORw6l0zSBxMREJaCQkmQuJCQkICfyfxaBeSsv4bcLjxEdE49C7naYPbY+KpZyUuYvWH8Fh37xxtPASFhYmKJ8SUeMGlAVlcs6w9BduHgHq9YchdeNhwgMDMGiH4ejRfOqmvnHjl/C1u2/4vqNhwgOicCeHZNRtkwhGItlq07i2KlruP8gANZWFqhauTDGft4exYq4KPODQyKxYMkR/P7nHTx5+gIO+WzRokkFfD68DezscsEYXLh4F6vWHofXDR/1NvTDJ2jRvEqar/16+mZs+/kMJvyvGwb0bQ5jceHve1i19iS8bso6CsWi+R+jRbPKmvmlK3+a5u+NG90RHw9oAWPk7/8C3363HWd+u4qo6FgULpQfs2cPQsUKRWFsNu+8iC27LuKxX7DyvGQxZwwf1AiN65VUnvcdtg7nLz3U+p0POlfH9C/fgzFavukivlt+Fv26VcFXnzZSpvk8Dsbcxb/j72t+iI1LQMNahTH58yZwcsgNQ7ds1XEcO3k1xXmsCMaO6oBiRfJrXhMTE4c53+3FoaOXEBsbjwb1ymDKxO5wcrSDsdIcg85c++8Y5ILZs4zzGJTa8vXn8N3SX9CvRw18NaqlMi0mJh5zFpzEoRM3lH2sQe1imDK2NZwcbGAMXnU9rVKp8NOiffh5xxmEhkWiWtUSmDq5N4oUTt4PiQw6wCA7QfPmzbW6Q0RGRqJDhw6wtLTUTLt06RL0XUhYDHqOPozalV2xYlZzONhb48HjUNjbJn+OIgXyYPLI2ijoZqcEINbtuolBE47j2NoucMhrDUMWGRWD0qULoGvn+hg5akma86tVK4G2rWtg0tT1MDbnL/2L3h/UQ8XyhZAQn4jvFx7CoGHLcXDXOOTOZYWAwBAEBIZi/OgOKFEsPx4/eYGps3Yo036a1x/GQNmGSnmga+d6GDlqWbqvO37yCv656g0XF3sYG/V+5oGunepg5BcrX5r/+8lZWs9/+/0Gvpq6Ga1bpB2oMXQhIRHo2WsmatcuixXLxyCfgx0ePvSHfR7juFBNzdXFDmOHN0fhgg5QAdhz8B+MGLcNuzcMQcli6mBnj47V8NknTTS/k8tKu5HAWFy96Y+t+7xQuri6AUFERsVh4Ng9KFPcGevmd1Gm/bj6TwydsB/bl/SAqWnObY3KjPN/y3msgfo8lpCI7xccxKBhS3Fw15fKeUzMnrcbv565gR++HQA721yYMWcHRn6xGlvXfQ6jPQb1noXatcpixbIvjP4YlNLVG37YuvcySpdQH3uSzP7pBH49+y9+mNkZdrZWmPHdMYycsBNbl/WDMXjV9fSK1UewYdNJzJk1EAU8nPDjwj0Y9MkPOLR3OqyM9Hj9TuTg7AKDDzBMmTLlpWkdO3ZETrRyuxfcnG3gObaBZloBN+2IfIdmxbSef/lJDew4che3vV+gblU3GLLGDSsqj/R0er+u8tP38TMYo1WLtIubzpn2Ieo2n4LrN3xRs3pxlCrhhgXfDdDML1TQCaNGtsO4rzYhPj4B5uZmMHSNG1ZQHhnx9w/GjNnbsGrZp/hkxCIYm8YNyiuP9Dg75dF6fvKXq6hdsyQKFki+STImK1YehKubIzxnf6yZVrCA4WeUpadZw9Jaz0cPa6ZkNFzxeqwJMFhbW8DZ0RbGLCIyFuNmHsXMcc2wZMMFzfRLXn54/DQMe1b2hK2N+oZ67oSWqNl+Gf689Aj1ahh2Vt6qxUO1ns+Z3gt1m03SnMfCwqKwc/dfmOfZF3VrlVJeM3taL7Tr7IkrVx+gSqUiMDYrVh2Cq6sDPGcP0kwz5mOQ1j42bR9mftkWS9ae1UwPC4/Gzv3/YN7UjqhbQ729zP6qPdr1Wq4cp6pU8IChy+h6Whpu1284iWFD3kOLZuqGg29mD0S9xmNw4uRlvNeuVjYvLRkrvQsw5FSnzj1Cg+ru+HzGL7hw1R/5nXKjZ4fS6NFOfRJNTdK6th26AzsbC5Qpli/bl5f0m5xEhb19+mm14WFRsLWxNorgQma7XI2buAaDPmqJkiXcdb04eu9ZUCh+PXMdc2b0hbE6dfoKGtSvgM9GLcSFC7eRP38+9PqwGXr0SG6hN1bSAn3k5A2lVb5qhQKa6fuPXsO+I1eVIEPTBqWULhS5rI2rVWz6D7+gcd0iSsAgZYAhNjZBadSytEg+JltZmimZC9JlwtADDKmFhUdpnce8bj5CXHwC6tVOvi4qXjQ/3N3y4co/xhlgOHXqCho0kGPQIly4eBv5XfKhV89m6NG9MYzZ9O+OonG9EqhXs6hWgMHr1lPExSeiXs3kbaV4EUe4589jNAGGjPj6PkPgsxDUq1tWM83OLjcqVyqGy//cZ4DhbTLNuSM8ZAe9HKrh119/RUREBOrWrYt8+TK++Y6JiVEeKVnGxMPKKns/2qMnYdhy4DYGdC2PT3pWxLXbQZi1+DwszE3RuVUJzetO//kIY2b/hqiYeDg75MLqOa2Qz96wu0fQ698oz563B9WqFFEyF9Ly/EU4Fq84gQ+61uHq/c+K1cdgbmaGfr2bcp1kwu5952GT2xqtmifXaDA2jx4FYMvWU/hoQBsMHdIB17y8MXP2JlhYmqNzp+RsNGNy+54/Pvx4NWJi45E7lyUWze2BEsXULartW1WAu5s9XJzscPteAOYtPAFvnyAsnNsDxuLgyTu4cScQO5Z98NK8KuVdlWDLt8vO4ovBdaFSAd8t+wMJCSoEBkXC6M5j3+5GtSpFNeexZ8/CYGFhhjx5tAPnjg52CAwKhTF65PvfMah/awwd0j75GGRhZrTHoIPHb+DGbX/sWJWctZnk2fMI9TZkp33d7Ohgg8CgCBg7CS4IR0ftbEVHRzs8+28ekcEHGObOnYvw8HDMmDFDk9rTtm1bHDt2THnu4uKCkydPonz59FN+PT09MW3aNK1pX3/eDFNHZ29hN7mQKF/KEV8MrKY8L1fCEXcfvMDWg3e0AgxSo2H3kg54ERqDnw/dwaiZv2L7T+3gmM84CvXRq03z3IW7955i85qRac4PD4/GJ5+tQvFi+THyk9ZcpdKqcf0h1m88jV3bJ8CE/eIyZeeec+jQroZR98mUc06F8kXxxehuyvNy5Qrj7l1fbN162mgv7osWdsKeDZ8oWVRHT93E+Ol7sXFJfyXIIAUdk5QukR/OTrYYMGIDfHyfo1ABBxi6JwFhmLXgV6z+rnOajRgOeXPjx2ltMfX709iw84qSufBes1IoX8rZ6I5L0zx34O69J9i81jhrK2SWKlGFChWKpDoGPcbWbb8Y5THoiX8oZv1wHKt/7JntDYVEr8e4jumvS6f5Hdu2bUOFCsl9qnfs2IHffvsNZ86cwbNnz1CjRo2XggepTZgwASEhIVqPCcOzP7VMshFKFMqrNa14IXs8CQjXmpY7lwUKe+RBlbLOmDWmPszNTLDjyL1sXlrSV9Pn7MIvZ25g3YphcM2vvT2J8IhofDxiOWxyW2HR9wOUSD4BFy/dQ9DzMDRt9RXKVRmhPB77PcfceTvRrPVXXEVprC/vBwHo3kVd+8RYOTvlRfHi2t1pihVzh9+TIBgrSe+XIo8VyrpjzIjmKFMyP9Zv+yvN11Yur05Hfuj7HMbg+u0ABL2IQpfBW1Cu2QLlcf7KYyWYIP+XbiUNahbGiS0DcHbPYPy5dwi+ndRaGWGqoLt2i6Ihm+65A7/8dgPrVo7UOo85OdkhLi4BoaHa2Rxy7HZO1eJqLJyd0zgGFXcz2mPQ9VtPEfQiEl0+Wo1yDecoj/OXfbDh54vK/2WkCGUbClN3I00S9DwCzo7GWZw3JWcndXHroFQZQUFBYXD6bx5RdtBpeNDb2xuVKlXSPD906BC6deuG+vXrK88nTZqE7t27Z/geVlZWyiMl1Yvs/1hVy7vA21c7/eiBbyjc82dcDCtRpVLqMZBxk5bUGXN34/ipa9iwYjgKejimmbkwaPhyWFqaY8kPA4265Tm1jh1qo16dMlrTBg1dgI7ta6NLJ+O+iU7Ljt3nUL5cQZQpndy33hhVq1YS3g+eak178OApPNyNs+hlWhIT0z9H3byjXnfORjLEYJ3qBbF/TW+taRPmHEexQvkwuFcNmJklt9k45FVnJZ679Ei5YWpWX7vIs8Gex+bsVJ/HVo586TxWoWxBWJib4dz5u2jdQt016/4Df/g9eYEqlY2v/oKQ0bO8vVMfg/zh4f7yNYAxqFOjMPZvSC66KybMOoBihR0xuE9duOW3U7oen7v4AK2bqs/59x8Gwc8/1OjrL4gCBZyUIMO5P29phnoPD4/CP1fvo2cP467r8dYZWVZajgowxMfHawUHzp07h1GjRmmeu7u7K5kMOcGALuXQc9QhLN1yFW0bFcHV28+w/dBdTB+lvrmRQllLt1xDs7oFlWyHFyEx2Lz/FvyfRaJNo8IwdBGR0fDxCdA8l9Eibt7ygb29DdzdHBEcEoEnT4IQEKAO0nh7+ys/JeKaFJE19G4RBw5fwuL5A2FjY4XAZ+roswzjJVXbJbgwcPgyREXH4dtZvZRMBnkIh3y2Whe2hr0NBWqe+z4Ows1bj/7bhhyQL692ME8uZJ2c8qBYUVcYi4jImDTWka9SZE3WUdLFxpFjVzB+TGcYu/79W6Fnr1lYumw/2raphavX7mP7z79g+rSX+/4ag+8WnUSjeiXglt9e2ZYOHPXC+UsPsOrH3ko3iP1HvZTCa3ntcyu1Gjx/OIaaVQspWQ7GwDa3JUoVc3wpKzGvfS7N9J2HbqB44XxKgOHy9aeYveA3DOheVQlCGLpps3fgwOG/sfiHj1Odx6xhbW0JO7tc6Nq5NuZ8t0c5JkmR4plzdqJqpSJGWeBR9O/XCj17z8bSZQfQtk3N5GPQVOM8BsnoK6WKa4+iIbVglH3sv+ldO1TGnJ9Owj5PLtjaWGLm98dRtYKH0QQYXnU93a9vcyxZfhCFC7v8N0zlXri45EWL5lV1utxkXHQaYChevLjSJaJYsWLw8fHBnTt30KhRI818X19fODrmjChuxdJOWDClKb5ffQmLN/6DAq52mDCsJjo0V7dayA2g96MQfHb8nlJ/Ia+dlfI7m75vi5JFDP/Cw8vrIfoNnKd57vnNduVn5451lbF6pZr7hElrNfNHj1uu/Bw5rAM+HfE+DN2Wn9VVkvsOXqw13XPaB+jyfi1cv+WLf675KNNavu+p9ZqTB79CAXfD7//sdd0H/QbO1zz3/HaH8rPz+3UwZ1Z/HS6Znq2jj3/SPPect1v52fn9WprRIg4euQQVVGjfNrk/vbGqVLEYFv70Kb6fvwOLFu9FgQLOmPhlL7zfoR6MUdCLCIyftgcBz8KV8eWlzoIEF+rXLo4n/iE4d+E+1m/9C5HRsXBzsUerpmUw/KPkczYB3o9e4PsVZxESGg0P1zwY2qcGBvQwjgv7LT//ofzs+/FCreme03qiS8fayv8nju0MUxNTfDZmDWJj49GgXhlMmaiuP2C8x6CR6mPQkpTHIGbepWfiZy1gamKCzybuUrKrGtQuiiljjace1auupwcPbIOoqFh8PXUDQsMiUb1aSaxc+jmzXt82E8Nv2MsKE5XktOnIihUrMHr0aHzwwQdK9kLevHlx9mzycDQzZ87EX3/9hf3797/W+6oezn4HS2tYTNyNr3jQa4kzzorWmWae/vCZ9J/EeK6KjFgaR1r9Gwu9r+sl0H/RwbpeAv1mb/jdMrLE0vCzI7Ms+I6ul0C/5eE+liELww1Aq+5lT30vkxKzkBPpNINh8ODBMDc3x759+9CkSRNMmTJFa76fnx8GDhyos+UjIiIiIiIiSsYaDBkx1fU4yQEBAfD398eFCxcwf/58REVFaeYvXrwYnTuznzARERERERGRvtNpgGHWrFmYOHEi7Ozs4OHhgR9//BEjRozQ5SIRERERERERpT+KRHY8ciidBhjWr1+vZCkcPXoUe/bsUWotbNq0SclsICIiIiIiIqKcQ6cBBhk5ol27dprnLVq0gImJiVJ7gYiIiIiIiEjvRpHIjkcOpdMlj4+Ph7W1tdY0CwsLxMXF6WyZiIiIiIiIiCiHjSIhI2QOGDAAVlZWmmnR0dEYOnQobGxsNNN27dqloyUkIiIiIiIiIr0PMPTv3/+laX369NHJshARERERERFlLOcWYDT4AMOaNWt0+eeJiIiIiIiIyBACDEREREREREQ5Rg4eQjI75NzylERERERERESkN5jBQERERERERJQpbKPPCNcOEREREREREWUZMxiIiIiIiIiIMoM1GDLEDAYiIiIiIiIiyjJmMBARERERERFlBjMYMsQMBiIiIiIiIiLKMmYwEBEREREREWWKCddTBpjBQERERERERERZxgwGIiIiIiIioswwYRt9Rrh2iIiIiIiIiCjLDDOD4fp5XS+B/stfTddLoN9UCbpeAr0WUGmQrhdB7zlvaKXrRdBrJpW66XoR9Joq9JGuF0HvmbjW0vUi6LfYEF0vgX4LDdL1Eui9xU6eul4EvTY8Ya2uF4F0haNIZIgZDERERERERESUZYaZwUBERERERET01nEUiYwwg4GIiIiIiIiIsowBBiIiIiIiIiLKMnaRICIiIiIiIsoMDlOZIWYwEBEREREREVGWMYOBiIiIiIiIKBNMOExlhpjBQERERERERERZxgwGIiIiIiIiokzhMJUZYQYDEREREREREWUZMxiIiIiIiIiIMoOjSGSIGQxERERERERElGXMYCAiIiIiIiLKFNZgyAgzGIiIiIiIiIgoyxhgICIiIiIiIsoME5PsebyGqVOnwsTEROtRpkwZzfzo6GiMGDECjo6OsLW1RdeuXeHv7493gQEGIiIiIiIiohysfPnyePLkiebx+++/a+aNHj0a+/fvx88//4xff/0Vfn5+6NKlyztZDtZgICIiIiIiIsrBo0iYm5vD1dX1pekhISFYtWoVNm/ejGbNminT1qxZg7Jly+LPP/9EnTp13upy6OfaISIiIiIiIjJSMTExCA0N1XrItPTcvXsX7u7uKFasGHr37g0fHx9l+t9//424uDi0aNFC81rpPlGoUCGcO3furS83AwxEREREREREmWKSLQ9PT0/Y29trPWRaWmrXro21a9fiyJEjWLJkCby9vdGwYUOEhYXh6dOnsLS0RN68ebV+J3/+/Mo8g+gi4eDggDt37sDJyQn58uVTilCk5/nz59m6bERERERERES6NGHCBHzxxRda06ysrNJ8bdu2bTX/r1SpkhJwKFy4MLZv345cuXIhO+kkwDB//nzY2dkp///hhx+QE134NxKrTgXhum80AkPjsXBgAbSoqP5M4tjVUGz9I1iZHxKZgN1ji6Ksh7XWe8TEJWLu3gAcvByKuPhE1C9jiyndXOFkZ3ilMS78fQ+r1p6C181HCAwMxaL5g9CiWSXN/IjIGHz3w36cOH0VwSGRKODhgL49G6FnjwYwBstWn8KxU164/yAA1lYWqFq5CMZ+1hbFiri89FqVSoXBn67GmbO3sei7fmjRtAIMTe4hw2DVsjXMihWXsreIu3wJ4d/NRYL3fc1rrHv0hHX792FerjxMbe0QWLMSVGFhmvkWtWoj3/qtab7/824dEe91FYYmPCoeP+3wxomLzxAUGoeyRWzxVZ8SqFg8jzL/2IVAbD3ph+sPwhASHo/ds6qjbOHk45ahu3BRjkMn4HXTR30c+mEwWjSrrPWaf+8/xbfz9yjHrIT4RBQv7ooF338MdzcHnS13dvJ/FoF5Ky/it/OPER0Tj0Ludpg9tiEqlnZS5h878wBbD9zG9btBCAmLwe4l76NsCUcYiwsX72LV2uPwuiHbUAgW/fAJWjSvkuZrv56+Gdt+PoMJ/+uGAX2bw9AtW30ax05fTz6PVSr833nMWet1l68+xPxFR3HV6xFMzUxRtpQbVi0cBGtrCxi6zTsvYsuuv/H4SbDyvGQxZwwf2AiN65WAr18wmndZkObv/TCrK9o2LwdDU+3LISjWpRXylimG+KhoPD17GX+On4fgO96a1+QpVhD15o2HW4PqMLOyhM+RMzjz6QxEBQRpXmOVzx4NF0xGkQ5NoUpMxP2dx3Dm81mIj4iEoVuwcDcWLtqrNa1oUVccOTRHZ8tkFF5zhIc3JcGE9AIKryLZCqVKlcK9e/fQsmVLxMbGIjg4WCuLQUaRSKtmQ1bp5E62f//+af4/J4mKTUQZDyt0rW2PT9c8fnl+jArVi+VC26p2mLwt7dQTzz3++PVGOH4c4AFba1PM2OmPT1f7YsvnRWBoIqNiUbq0B7p2qo2RX6x+af6cebvx5/m7+HZ2X3i4O+CPc7cxbfbPcHGxR/MmFWHozv99H7171EPF8gWQkJCI7xcewaDhK3Fw51jkzmWp9dp1m85k13FNZyxq1kbU5g2Iu3YVJmbmsBk9FnlXrkdQ+5ZAVJTyGhNra8Se+VV52I4Z/9J7SFDiWYOaWtNsPhsDy7r1DDK4ICavvI27vhGYO6wsXPJaYt8f/vhozj84OLcW8jtYISomAdVL26NtbWdMXnUHxiYyKkZ9HOpcFyNHr3hpvs+jQPTq/z26dq6Hz4a/B1tba9y99wRWloZ/4yMkYNBz1CHUruyKFbNbwsHeGg8eh8LeLvkYFBUdj+oV8qNt46KYPP8PGOU2VEq2oXoYOWpZuq87fvIK/rnqrZzDjMX5S97o3b0OKpYviISEBHy/8CgGjViFgzu+0JzHJLjw8cjV+OSjppj8v44wMzPFrTtPYGpq4Ce1/7i65MHYEc1QuIADVAD2HPwHI/63DbvXD0axwk74/eBorddv23MJqzadQ6O6JWCI3BvXwrVFmxBw4RpMzc1QZ/YX6HBsFbaUew/xkVEwz50LHY6tRtA/t7C3mfp+odaMz9Fu/1LsrNNDWlyUaS02zYONmzP2tfwIphYWaLZmNposn44TvcfCGJQs4YE1q8dpnpuZm+l0eUg/hIeH499//0Xfvn1RvXp1WFhY4OTJk8rwlOL27dtKjYa6desaRoBBClTkyZNH8/+MJL1O3zQqa6s81F4OMHSsqb6o8H0em+bvh0UlYOdfwfi2jwfqlLRRpnn2dEO7Ofdx5UEUqhTJ3lSWd61xg3LKIz2Xr3ijU4daqF2zpPL8g271sG3HH7jq5WMUAYZViz7Wej5nWg/UbT4d12/4omb1YprpN2/7YfXGM9i58TM0aDUDhipk8ACt56ETxsH53N+wKF8RcRfPK9Oi1q/RZCqkKS4Oic+eJT83N4dV8xaI3Lgehig6NkHJUFg0uiJqllFHpz/tWhSnLwdhy8nHGNW9GDo2UEepfQPVQRpj07hheeWRnvkL9qNRw/L43xedNNMKFdRufTVkK7ddg5uzDTzHNdRMK+CmneHSsaX6Rsf3aXK2kDFp3LCC8siIv38wZszehlXLPsUnIxbBWKxaOFDr+Zxp3VG3xUxcv+mLmtXU5zHP7w6g74f1MeSjJprXpc5wMGTNGpbSej56WDNs2f03rng9RsliLnB2TLquVDvx6y0lc8Emt3ZDg6E40Fb72ufkgC8xMPBPOFcvjydnLsKtfjXYFfHA9qqdEBcWobzmVP/xGPTiAgo0qwPfk+eQr0wxFG7bCD/X6IrAv72U15z5dCbaH1qOs2O/QeSTABg6M3NTODtr960n4zN27Fh06NBB6RYhQ1BOmTIFZmZm6Nmzp1K7YdCgQUp3CylVIPfXn376qRJceNsjSOisyKPUXQgIUO/wkqYhz1M/kqYbKuk6EZcA1CutDi6IYvmt4J7PHFceGH5KV2pVqxTFqV+vKRdm0gVAshm8HwaiQd3SMEZhYdHKT3v73JppUVGxGDNxM77+shOcnYwnrV2Y/telKjFEnVb6JqyatYBJ3nyI3vUzDFF8ggoJiYCVhfZh3drSFH/fDtHZcuUUiYmJ+OW36yhS2AWDhi5E3cZfonuvb3Hi1D8wFqfO+aBCKUd8Pv006nXfgs5D92L7odu6Xqwctx2Nm7gGgz5qiZIl3GHMwsL/O4/lUZ/Hgp6H4x+vR3B0sMGHHy1GvZYz0WfwMly8/ADGSLIVDx73QmRUHKpWLPDSfK9bT3Dzjj+6dUi7C44hsrRXn+tjnqvPWaZWlkqWQkJMcmNdfHSM0g1CukyI/HWrIvpFiCa4IHxPnFVek792cldcQ/bwoT8aNBqF5i3HYcy4pfDzS+4+Qu9wmMrseLwGX19fJZhQunRp9OjRA46OjsoQlM7OzpoSBe3bt1cyGBo1aqR0jdi1axfeBZ1kMJw6dUoZj9PFxQWnT5+GMZK6DRZmJsiTSzuNydHOHM/CEmBsJn/ZDZOnb0WjVlNgbm6qFP6cOeVD1KxumGmBr7pAnT1vH6pVKYJSJZL7RXl+tx9VKxdGiybpt8AaJBMT2E6cjNi/LyDh7pun9Vt37YHY339Dov/br5arD2xzmaNKyTxYvOcBinnkhpO9JQ6e9ceVu6EolN+wMqLeBbn5iYyMwYpVxzHq0/YYO6oTzvxxAyNHr8T6VZ+hVg11dpUhe/QkHFv238aAruXxSa9KuHb7GWYt+gsW5qbo3MrwP//bsGL1MZibmaFf76YwZurz2AFUq1xYcx579FhdtHvh8pP436h2Su2FPQcvYcCwFTiwfTSKFFLX+TB0t+/548PBaxATG690HVk0tztKFH05i2PHvssoXsQJ1SoVhFEwMUGDHybiye9/4/n1u8ok/z+vIC4iCnXnjsNfE79XXlNnzhiYmpsjt5t6neV2dUJUgHZBeFVCAqKfhyC3q+Fnx1SqVByesz9G0aJuCAwMxqJFe9G7z2zs3z8TtjY89xuTrVvTrjuWxNraGosWLVIe75pOAgyNGzeGqampksLRtGlTzaNAgZcjuK8iY4GmHg/UMi4BVhbsf5STbNjyG65cfYglPw6Gu3s+XPz7X0ybvQMuzvaoV8e4shimzdmDu//6Y/PqYZppJ3+9jj8v3MPuLaNgbGy/ng7zkqXxolf3N34P0/yusGzQCKGjR8KQfTO0LCauuIXGn56DmSlQrogd3qvrgusPwnW9aDnihkg0b1oRA/o2U/5ftkwBXLpyH1u3/24UAQbJHitfyhFfDFK3DJYr4Yi7D14oRR0ZYHg1r+sPsX7jaezaPiHD0bGMwbQ5e3H336fYvCr5PJaYqO4v/0GXWuj6fg3l/+XKeODc+X+xc+9FjPm0DYxB0cJO2LN+CMIiYnD01A2Mn74PG5f00woyREfH4cAxLwz/KLm7kqFrtGgKHCqUxO4GvTTTop+9wLHun6PRkqmo9FlfJSvh7paDCPjbC6r/tidj17hRcpZGmdIFUblSMTRtPhaHD59H926Ndbpshs24j/GvorPhCiSL4ZdfflEeW7ZsUSpbFitWDM2aNdMEHGRszleRsUCnTZumNe3rXqUxtXcZ6DPnPOaIS1AhNCpBK4shKCweTnbGFRyJjo7F/J8OYOH8QWjSSN06X6aUB27efoxV604ZVYBh+pw9+OXMTWxcOQyu+ZP70/15/l/4+D5HzcZTtF7/6bgNqFG1KDasGApDZDt5GqyaNMOLPh9kKfPAukt3qIJfIObUCRgyyVTYOKkqIqMTlBElXPJZYfSC6yjorD2CDb0sXz5bJXuqeHE3renFi7ni78vJo5cYMmeHXChRSLsfb/FCeXHszEOdLVNOcvHSPQQ9D0PTVl9ppcHPnbcT6zeewqmjs2AMps/di19+v4WNKz6Ba/7kIpdJXfuKF9O+tite1AV+T9+8+1tOY2lhhsIF1aPSVCjjhms3nmD9tvOY/uV7mtccOX1TCTJ0amccKf7KCBDtm2B3oz6IeOyvNe/R8T+wqURLWDvmQ2J8PGJDwjDgye+4d/+QMj/y6TPkctEe5cfEzAzWDvaIfBoIY5Mnjw2KFHGFj4/h154g/aWzAEOTJk2Uh4iOjsbZs2c1AYd169YhLi4OZcqUwfXr1197fFDL072h78oXsIYkWZy7E4HWldWFLO8HxMDvRTyqFEnud28M4uMTERefAJNUVaTNTE2NJkItLYcz5u7F8dNe2LDiExT00D5ZDvmoKbp3rqU1rUOP7zFhTAc0bWR4Q1dpggstWiG4X08kPvbN0nvl6tIN0Xt3y8YGY5Db2kx5hETE4fdrzzH2w+K6XiS9Z2lhjorlC8P7gfbF7YOHAfBwM9x6QClVLZ8f3r7ahZcf+IbAPX9yrSBKX8cOtVGvjnbjxqChC9CxfW106fT2q3Tr5Xnsm304fvo6Niwf8tJ5rIB7Prg454H3A+2bvgc+gWhUz3gaElJLVKkQG6t9btq574pSENIhn41RBBeKdm6JvU36IuxB+uf66KAXyk+PpnWQy8URD/adUp77n7sM63z2cK5WHoGX1PcMUgDSxNQU/n8Z5ohRGYmIiMajRwFwfr+erhfFsBl5lpreBhhS9wmRzIUGDRoomQuHDx/GsmXLcOvWrTcaH1SVDd0jImIS4fMsueiMb1Asbj6Ohn1uM7jns0BwRAKeBMchIER90vAOUL/Wyc5cyV6wy2WGrrXzYu5ef+V3ZJjKmbv8ldEjDG0ECRERGQMfn+SLCt/HQbh5y1cpYijjy9eqUQLffr9XGTtbnssY9HsOXMCXY5OruRt6t4gDhy9j8fz+sMltjcBn6grtdrbWytjg0vKTVmFHd9e8L13EGQLpFmHdviNCRgyBKiIcpk7qvrmJYWHSL0r5v0wzdXKGWSH1sK7mpcoor0144gdVSHJRQ4s69WBWsBCifs64b5ohOHP1uVIQq6hbbjz0j8K3W/5FMbfc6NJI3Qc6ODwOT4KiEfBCfTzyfqIeTULqNTjnfbNxlg3pODRoQAuMHrcaNauVQO1apZQaDKd/9cL6VZ/DGAzoWg49Pz+IpZv/UYahvHo7ENsP3cH0UckXqsGhMXgSEI6AIHUxYm9f9b7m5JALzg6GHxyPiIxOYxt6BHt7G2UbypdXexQAC3MzODnlQbGib3+ccX3sFnHgyBUs/r4fbHJbvXQek24jg/o1woKlx1GmlBvKlnbD7v2XcP9BIH6a2wfG4LvFJ5UhJ93y2yvHI+kGcf7SA6z6Iblh7OGj57hw5SGWf98TxtAtomSv9jjccThiwyKQK7/6XC9ZCgnR6nN9mQFd8OLmv4gKfA7XulXR4MeJ+Gf+WgTf8Vbmv7h1Hw8P/4YmK2bg16FTlGEqGy6cjLtbDxrFCBJzv9mKpk2qwN3DEQEBwViwYI/SDb39e+mMsEWUDUxUEnLWEekWIdUtpdCjZC789ddfKFiwoFLZUh5Sq6FQoUKv/b6qQ+/+pvSvexHov8jnpemdatpjTi937DofjIlbnrw0f0RrJ3zaRt3PLiYuEXP3BuDg5RDExqvQoLQtvu7mqgQg3jWTZtmbUv/Xhbvo9/HCl6Z3fr8W5szojcBnofj+x/34/dxthIRGwt0tHz7oWg8D+jbRTV/WBO26Hu9a6Wr/S3O659Qe6PJfX9W0fmfRd/3QomnGQ6a9CwHV320tCJdb6guH1EInjEX07p3K/21Gfg6bkaMyfI3IM+8HmLp7IDgLNRzehPOGVshuh/8MwPfb7+Pp8xjktbFAy1pOGN29GOxyq48pu357gonLXx4VYETnwsqQltnJpFI3ZLe/LtxBv0E/vTS98/u1MWdmX+X/O3afw/JVx/DUPxhFi7jg0+HvoUXT7E9TVvn/DV04/ecjfL/qIh4+DkMBV1sM6FYePdolty7vOnoXE+f9/tLvjehbBZ/2q5qty2riqp3VlW3b0MD5L03v/H4dzJnV/6XpzVp/hX59mmFA3+bIdrHZO3pM6epfpjndc0o3rfPY8jW/YNPP5xASEqkEGsZ+1g41qqoDxdkqTj3sYXaaOGs//rzgjYCgcNjZWqF08fwY3Lce6tdOHo76+yWnsO/INZza/RlMU2V2ZrfFDu92OOzhqrRHqZHhKm+v2638v47nGJQZ0BlWDvYIe/AY15duVQIMKVnls1eCCkU6NFPqNNzfeQxnPpuJ+Ih3Oyrb8ATt5dCF0V8sxoWLdxAcHA4HBztUr1YSo0d1Q6FCLrpeNMDUgDO3Aldmz99x1h7KNafQWYBBMhYkoFC0aFElkNCwYUPlp5ubdv/XN5EdAYacLrsDDDlONgcYcpp3HWAwBLoIMOQkuggw5CS6CjDkJLoIMOQo2RxgyHF0EGDIad51gCGn04cAg15jgMFoAww66yJx5swZJZgggQapxSDBBRmvk4iIiIiIiEgvsQZDhkyhI8HBwVi+fDly586NuXPnwt3dHRUrVsTIkSOxY8cOBAYaX+VXIiIiIiIiopxKZxkMNjY2aNOmjfIQYWFh+P3335V6DN988w169+6NkiVLwsvLS1eLSERERERERJSMGQz6mcGQVsDBwcFBeeTLlw/m5ua4efOmrheLiIiIiIiIiPQ5gyExMREXL15URo+QrIU//vgDERER8PDwUIaqXLRokfKTiIiIiIiISD/oTRu9XtJZgCFv3rxKQMHV1VUJJMyfP18p9li8eHFdLRIRERERERER5bQAw7fffqsEFkqVKqWrRSAiIiIiIiLKPNZg0M8AwyeffKKrP01EREREREREhhJgICIiIiIiIspZTHS9AHqNFSqIiIiIiIiIKMuYwUBERERERESUGSZso88I1w4RERERERERZRkDDERERERERESUZewiQURERERERJQZHKYyQ8xgICIiIiIiIqIsYwYDERERERERUaZwmMqMMIOBiIiIiIiIiLKMGQxEREREREREmcFhKjPEDAYiIiIiIiIiyjJmMBARERERERFlCmswZIQZDERERERERESUZcxgICIiIiIiIsoME2YwGF2A4XbfK7peBL1Xxs8gv/q3JyZA10ug15w3ttb1Iug9k8o9db0I+s3CVtdLoN8S43W9BHpP5XNK14ug13aU/FnXi6DXuscs0fUi6L2hKwvoehH0W0KcrpdAvzFP3mjxLpOIiIiIiIgoUxg9yQjXDhERERERERFlGTMYiIiIiIiIiDKDNRgyxAwGIiIiIiIiIsoyZjAQERERERERZYYJ2+gzwrVDRERERERERFnGDAYiIiIiIiKiTDHhesoAMxiIiIiIiIiIKMsYYCAiIiIiIiKiLGMXCSIiIiIiIqLM4DCVGWIGAxERERERERHl7ADDjRs3MHz4cFStWhVubm7KQ/4v02QeERERERERkX7dQmfHI2fSWReJw4cPo1OnTqhWrRo6duyI/PnzK9P9/f1x/PhxZfrevXvRunVrXS0iEREREREREel7gOHLL7/E+PHjMX369JfmTZ06VXmMGzeOAQYiIiIiIiLSD6zBkCGd5V7cuXMHvXv3Tnd+z549cffu3WxdJiIiIiIiIiLKYQGGIkWK4ODBg+nOl3mFCxfO1mUiIiIiIiIiSh9rMOhlFwnpGtGrVy/88ssvaNGihVYNhpMnT+LIkSPYvHmzrhaPiIiIiIiIiHJCgKF79+7w8PDATz/9hO+++w5Pnz5Vpru6uqJu3bpK4EF+EhEREREREekF1mDQzwCDqFevnvIgIiIiIiIiopxNrwbYjImJwb///qv8JCIiIiIiItK7DIbseORQOstgWLt2LUqXLq10g4iOjsaIESOwbt06qFQqmJqaYtCgQfjxxx9hZWUFfeMwajjs2reGZcniUEVFI+rCJQROm4PYe/fTfH2BbWth26IJfPsOQfihY5rp5h7ucJ03E7kb1EViRARCtu5E4IxvgIQEGKILF+9i1doT8Lr5CIGBIVj0wxC0aFZZM//LSeuxe99fWr/ToF5ZrFo6EoZu866/sWXXJTx+Eqw8L1nMGcMHNkDjuiWU54FB4fhm4UmcPe+NiMhYFC3kgKEDGqB10zIwFgmJKizc6Y19f/jjWXAsXPJZonMjNwzrVBgm/x2En4XEYt6Wf/HHtecIi4xHjTJ5Mal/SRRxzQ1Dd+HiHaxacwxeNx6q968fh6FF86qa+ceOX8LW7b/i+g0fBIdEYM+OyShbpiCM2YULN7Fq1QF4eXkjMDAYixaNRosWNWHM/J9FYt6qS/jtwmNExySgkLsdZo+ph4qlHJX5X877A3uOa5/rGlR3x8rZzWHomn10EH4BkS9N7/VecXzWtwIWbLyOPy4/xZPASDjYW6F5HQ983rcC7GwsYIjKfDkEHl1awa5MMSRERSPo7GVcHT8P4Xe8lfm5C3vgvQen0vzdc90/h++OIyjcvzNqrZ2T5mv2udRFTOBzGN510HF43fD57zroE7RoXiXN1349fTO2/XwGE/7XDQP6Gub+deFRDFafD8P1p7EIjEjEgs6OaFEyl2b+wt9DcOhWFJ6GJcDCFCjnaolRDfOgsrv63uC8TzT6b32W5ntv7+uCim6WMMxz/dEU5/rhWud6uY/6adE+/LzjDELDIlGtaglMndwbRQqra90RGXyRxy1btij/nzx5Mk6dOoWff/4ZZcuWxe3bt/G///1Pmf7NN99A3+SuVxvBqzYg6tI/MDE3h/OkcSi4Yz3u12sJVWSU1mvzDR0ke/vLb2JqigJbVyMhIBAP23aFeX4XuC3+Dqr4eDyb+S0MUWRULEqXLoCuneti5OgVab6mYf1y8JzRR/Pc0tIwL8xSc3W2w9jhTVG4oINycthz6CpG/O9n7F73sRJsGD99H0LDorHkm+7Ilzc39h+7jlGTdmHn6oEoV9oVxmDF/ofYcsIPc4aWQYkCNvC6H4aJy2/BNpc5+rUpoKy3Ed9fg4WZCRZ/URE2ucyx9vAjDJx9BQe+qY3c1mYwZJFRMf/tX/UxctSSNOdXq1YSbVvXwKSpG3SyjPomMlLWWWF07doEI0fOh7ELCYtBzy+OoHYlV6yY2RwOea3w4HEY7G21L9Ib1nBXgg5JLOXK3wjs+KEFEhKSz+d3H4Zg4KTf0LpBAQQERSHgeRT+N6gyShTKowQipiz8W5n200TD7Arq3LgW7i3ahBcXrsHE3AwVZ3+BRsdW4Wi595AQGYXIR0+wz7W+1u8UG/IBSo8bhCeHf1OeP9p2CE+PnNF6jQQcTK0tDS64oDlOl/JA1871MHLUsnRfd/zkFfxz1RsuLvYwZFFxiSjtYoEuFW3w2Z6gl+YXcbDApBZWKJjXHNHxKqy7EIaPtz/D0SGucMhthioeVvhtuJvW7/z0eyj+fBiNCq4WRnmuX7H6CDZsOok5swaigIcTfly4B4M++QGH9k6HlZVhrhPdMI7zXo4LMPj5+cHNTX1Q2LdvH5YsWYI2bdooz8uUKYN8+fKhb9++ehlg8O3RX+v5k5FjUfLOJVhXroioc+c1060qlIPDiI/xoPn7KHnzgtbv2DRtBKvSJXGvSx8kBD5DjNcNPPP8Hs5TxuPZ3B+AuDgYmsYNyyuPjFhamsPZybBPqGlp1rCU1vPRQ5sqGQ1XvB4rAYbL13wxZVxbVCrvocwf/lEDrNt6HtdvPzGaAMPlO6FoXt0JTao6Kc8LOOfCwXMBuHY/VHn+4GkU/rkXiv1za6FkARtl2tSPSqHBiD9w8Jw/ujd1hyFr3LCi8khPp/fVRXN9H6fd2mOMGjeuojxIbeX263BzsoHn2OQb4gKudi+tHgkoODsktzIaC8lKSGnFjlso5GaDWhWdlSyqBV8lr7dCbrYY3a8Cxs07j/iERJibGd7F6Jm2H2s9Pz/gS3QM/BP5qpfHszMXgcRExPhrH288OreA7/bDSIhQZ4IkRscgJjq5W6ylUz64NKuNC4MmwRA1blhBeWTE3z8YM2Zvw6pln+KTEYtgyBoVy6U80tO+nHb24ZfN8mLntUjcDoxD3cJmsDQzgbNtcuNBXIIKp+5FoXc1W01mozGd66WhZf2Gkxg25D20aKY+t30zeyDqNR6DEycv4712tbJ5aclY6eyMJ6NFSL0FERERAScn9U1DEmdnZwQFvRzN1EemedQXYAkv1OntwiSXNdyX/wj//32tZCmklqtmVcTcuK0EF5JEnPoVZnnywKqM9s2mMTl/8S7qNh6P1h2mYcqMLXgRHA5jk5CQiIPHryMyOg5VK6oDClUrFsDhEzcQHBKFxESVMj8mNh61qhaGsahaKg/OXX8B7yfqC9NbD8Nx6XYwGlV2UJ7HxiUqP61StKaamprA0twUf98O0dFSE+Ucp/70RYVSDvh85q+o12M7Og8/gO2H7r70uvNX/ZX5bQbtxdSf/sKLUOOrmyTHm32nH6JLy6Lp3siERcbBNre5QQYX0mJhr74Win2e9vE2b7XyyFe1HLxX7Uj3PYr064T4yGil+4QxSkxMxLiJazDoo5YoWcKwg+KvKzZBhe3/RMDOygRlnNNuiT99LwrBUYnoUtHwu0Wmxdf3GQKfhaBe3bKaaXZ2uVG5UjFc/iftbtz0hliDQT8zGHr37o2vvvoKhw4dUjIVpMvE5s2bYWtri8jISEydOhX162un1uklExPkn/U1Iv+8gNhbdzSTXWZ+jajzfyP88PE0f83cxRnxKYILIum5zDO+yzV194iWzauggIcjHvk+w/c/7cPg4YuxbcNYmBnBBdrtewH4cMhaJXCQO5clFs3phhJFnZV5P8zsgtGTd6N2m++Vi1VrawssnNNN6VJhLIZ0KIyIqAS0G/cXzExNlJoMo7oXQ4f66gyOYu654e5ohe+3/Ytpg0ojl5UZ1h1+hKfPYxAYbIx7FNHrefQkDFsOhGFAl3L45MOKuHbnGWYtuQALC1N0bllc0z2iVf1C8HC1VV4/f80VDPnqJLb+0MYojtNJTv75GGHhcejcokia81+ExGDJlpvo0aYYjIKJCar8MBHPfv8boddfDkqJooO6IfTGPQSdu5zu28hrfDYfUDIbjNGK1cdgbmaGfr2b6npR9IYEDcbuf46oOBWcbU2xqocz8uVOu8vjjmuRqF/UGq52Oh0kT2ckuCAcHfNoTXd0tMOz/+YRZQed7YFTpkyBl5cXihUrhho1auDMmTPInz8/PDw8lO4Tjo6OOH487ZvzlGTEidSjTsSqVLDMptSo/N/OgFXZ0nj4XjfNNNs2LWDTsC68m76XLctgKN5rW0Pzf+mjKI8W7abg/IU7qFvH8IsZFi3siD3rPkZYRAyOnrqF8TP2Y+PiPkqQ4cflvyo1GNb+1EupwXDit9tKDYZNS/qhdAkXGIPDfwVg/x/+mDeiHEp42CgZDLM33tUUe7QwN8VPoyti0vJbqD3kdyUIUbdCPiXDIa0yKESkTfaT8iUd8cVAdcGwciUccPdBMLYevKMJMLzXpKjm9aWL5lMeLQfsUbIa6lbV7gttyHYc80bDGq7I7/hyend4ZBw+mfo7ihfKg5G9M+4WaCiqLZoC+wolcbpBrzTnm1pboVCv9rg5Y3G67+FQpwrylCuBv/r+D8bI6/pDrN94Gru2TzDY9P43UbuQFXYNyI8XUQn4+Z8IjN4XhG19XOBoox1keBoWjz+8ozH/feNpeCFd4j6qlwEGS0tL7N27F0eOHMH+/fthZmampIZJXQbJXOjVqxdsbNT9qDPi6emJadOmaU0bYW2Pkbnz4l3LP3cabFs1g0/7Hoj3e6qZnrthPVgULYxS969qvd5j7RJEnbsAn44fIj4gENbVtPv+mjuru4nIPAIKFnBCvny2ePgo0CgCDJYWZpqMhApl3HDtph/Wb7uAj/vUxcYdF3Fg0xClHoMoUzI/Ll55hE07L2L6+HYwBt9u/heDOxTCe3XVlZBLF7KF37NoLN/nowQYRIWidtjjWVMZQSIuPhEOeSzR4+uLqFBUO5pPRC+TugolCmvXwCle0B7HfvdJd3UVdLNDPnsrPPQLM5oAw+OACJy74o8FaRRvlODCx5PPKEVmF06qpwQ+DV3VBZPh1r4JTjfqg6jH/mm+pkC3NjDPbY0H6/ek+z7FPu6OF5dvIPjSdRiji5fuIeh5GJq2+kqry+TceTuxfuMpnDo6C8Yot6UpCssjnzmquFuh9fKn2HktAkPqaJ/Xd12LRN5cpmhawvjqwyRJqmEWFBQKF+fk+6CgoDCUKW3co0ZR9tJ5DpEUdkwq7vgmJkyYgC+++EJr2oMi6Rc6e6vBhfdaw+f9DxHn46s1L+jHJQjesFVrWrE/jiFg0gyEHzmhPI+6cBmOX4yEmZMjEp6pa03kbtIQCaGhiL2ddnqhsXn69AWCgyOMsuijSFSpEBuXgKjoOE09gZQkHVkK+hiLqNiEl9aBPJf1lJpdbvWh7cHTSGW0ic+6GUmaMlEWVC3nDO9H6qKpSR48DoW7i226v/M0MALBoTFwMaKij7uOP4CjvTUa13J7KbgwaPJvSrB48df1YWVp2CPXJAUXPDq3xC9N+iLygfa1UEpFB3WF375TiH32Is35Zja5UaBHW1yb8B2MVccOtVEvVWPKoKEL0LF9bXTppC7SS4AKKsTGa5/35Vpo97UIdCyfWxlJylgVKOCkXDOf+/MWypYppEwLD4/CP1fvo2ePxrpePMNiYvjB4xwdYEjN399f6fJQqJB6x3gVKysr5ZHSu+4eId0i8nTtCN8+g5EYHgEzF3WrcmJoKFTRMUpRx7QKO8b5+mmCERGnf0PM7btwWzIfgVM9lboLzhPH4MWqDVDFxsIQRURGw8cneb34Pg7CzVuPYG9vA3v73Fi45BBat6gKJ6c8ePQoEN/O34PChZzRsH5ysRpD9d3i02hUtzjcXPMgIiIWB45dx/lLD7Hqh54oVsQRhQvkw9dzD2H8yObIa6/uIvHH+ftYNu8DGIumVZ2wdM9DuDlaKcNU3nwQrgxD2bVx8kX+kb8CkM/OAu5O1rjjE45ZG+6heQ1nNKhk+CmTL+9fz/7bv3LD3c0RwSERePLkOQIC1MVovb3VWVeyvxlrEC8iQtZZcvaZr28gbt58AHt7W7i7axceNgYDupRFz9FHsHTLNbRtVBhXbwcpRR6nj6qjzI+IisOijVfRqkEhOOXLpdRg+HblJRRyt0OD6sZRkE6K7O4+/gCdmhfWKt6oBBcm/YaomAR8O7Y2wiPjlUfS6BNmBnjTU3XRFKXbwx8dhyMuLAJW+dX7TFxImFYNBZviheDcqCbOtBuS7nsV/KAdTM3N4LNxHwxZRtdB7m4OyJdXO5hnYW6mHKOLFTXM0aIiYhPh80K9nwjf4Hjc9I+FfS5T5LU2xbI/w9C0hDWcbcyU4o2bL4fDPywBrctoF3H80ycGviEJ6Fbp1ZnPhrENBaQ61/v8tw05ol/f5liy/CAKF3b5b5jKvXBxyYsWzdVd34iyg84CDGFhYRg2bJhSe6FJkyZYsWIFRo8erQxXKX3PGjRooHSdyJNH/1Kb8w3sq/wsvH/bS8NVhmxJvzqylsRE+PYcBNd5M1H4yC4kRkYiZOtOZahKQ+V13Qf9Bv2oee757U7lZ+f3a2PqpA9x564f9uz7C2FhUcrYz/XrlsXnI9vD0tLwx+0NehGB8dP3ISAoHHa2Vihd3EUJLtSvpW55X/79h/hu8SkMHfczIqNiUahAPsyZ/D4a1ysBYzGpf0n8tMMb09fcQVBonFJ74YNm7hjeJbnIWsCLWMzZeA9BIbFwzmuJjg1dMaxz2kXYDI2X10P0G5jc+uf5zc/Kz84d62LOrI9w6vQ/mDBprWb+6HErlJ8jh7XHpyPehzHy8rqPfv1map57em5Ufnbu3Ahz5gyFsalY2gkLvm6C79dcxuJNV1HA1RYThtZEh2bq45DUNbnt/QJ7jv+LsIg4ODvmQv1qbvi8fxVYGkFrvTh7xR9+gZHo0iq5FoW4fu8F/rn9XPl/q48Pa807sbodCuQ3vBufEsPV9Raa/qreb1IOV/lw3W7N86IDuyLK9yn8j/2eYYaD767jSnDCkCnXQQPna557fqu+Zuz8fh3MmaU9BLoxuP40Fv23Jhc8n3taXYiwU4XcmNoqH+4HxWGPVwReRCUqAYeKbpbY2MsFJZ20rwt3Xo1AVQ9LFHO0MJJz/TzNc89vtqc41w/E4IFtEBUVi6+nbkBoWCSqVyuJlUs/h5WV4a8b0h8mKh3lWH/66ac4ceIEhg8fjl27dsHe3l4ZtnLp0qVISEhQgg+dOnXCrFmv3+fslqNx3FBkRRm/lbpeBP0W4afrJdBrqvtndb0Ies+kck9dL4J+s0g/7Z4A1QPtm1RKQ3w0V0sGdpRUBxkpbd1jlnDVvELiBuOs+5BZpv2m6HoR9JtFIxis2NPZ83csc+aIMjrLYJACj+vWrUPTpk3RtWtXFChQAPv27dMMTfnNN99gzJgxbxRgICIiIiIiIiIjCTAEBASgRAl1ere7uzty5cqFUqVKaeZXqFABjx490tXiEREREREREWljkccM6awEpqOjIwIDkwvddOzYEXnzJg+pEh4e/lLxRiIiIiIiIiLSTzoLMFSqVAkXLlzQPN+8eTNcXFw0z2Ve2bKGP3oAERERERER5RQm2fTImXTWRWLTpk0wNU0/vpE/f37Mnj07W5eJiIiIiIiIiHJYBsP8+fNha5t+FfFy5cph5szk4cOIiIiIiIiIdMrEJHseOZTOAgwygkTNmjXh5eX10rxly5YpXSjMzXWWYEFEREREREREOSHAIIGFihUrokaNGvD09ERiYiJ8fHzQokUL/O9//8O3336Lw4c5DjgRERERERHp0SgS2fHIoXSWIpAnTx6sX78eXbt2xSeffIJt27bB29sbtWrVwtWrV1G4cGFdLRoRERERERERvSadh0bq1KmjZDJIUEGyGCZNmsTgAhEREREREekhjiKhtwGGLVu2KMUcJbBw8+ZNDBs2DK1atcLo0aMRHR2ty0UjIiIiIiIiopwQYJCuEYMHD8bUqVNx8uRJlC5dGt988w1Onz6NQ4cOoXLlyjh37pyuFo+IiIiIiIhIG0eR0M8aDE+fPsXly5dRsmRJren16tXDlStX8OWXX6Jx48aIjY3V1SISERERERERkb4HGM6cOQNT07QTKHLlyoUff/xRyXIgIiIiIiIi0g86L2Oo13S2dtILLqTUqFGjbFkWIiIiIiIiIsqhGQxEREREREREOa4GA6WL+R1ERERERERElGUMMBARERERERFRlrGLBBEREREREVGmsI0+I1w7RERERERERJRlzGAgIiIiIiIiygwWecwQMxiIiIiIiIiIKMtMVCqVKutvQ+mJiYmBp6cnJkyYACsrK64orqPXxm2I6yeruA1x/XD7ebe4j3H9cPvhPqZLPAaRPmGA4R0LDQ2Fvb09QkJCkCdPnnf953IkriOuH24/3Md4DNJfPEZzHXEb4j6mazwOcf1QzsEuEkRERERERESUZQwwEBEREREREVGWMcBARERERERERFnGAMM7JoUdp0yZwgKPXEfchriP6QyPQ1w/3H64j+kSj0FcP9yGuI+R8WCRRyIiIiIiIiLKMmYwEBEREREREVGWMcBARERERERERFnGAAMRERERERERZRkDDNlk7dq1yJs3L3K6qVOnokqVKrpeDL3XpEkTjBo16rV+x8TEBHv27MmWv2UoDPWzv83jhWxTJUqUgJmZmUGuq+z04MEDZT+9cuUKjFVOXAe//PKLsszBwcHv9O8MGDAAnTp1eqvvWaRIEfzwww/QtTc9P+V02fW539b3rC/bCxEZNwYYMnDu3Dnlovy9997L8gH+gw8+wJ07d2BInzO76PMFrQUh5YAAAB3ISURBVFxQyrKlfnzzzTeYMWNGtlwk79q1663/LX1Yp0OHDn1p3ogRI5R58pqc/tlTbjuWlpZKEGD69OmIj49/qxeWn3zyCbp164ZHjx7l2HX1rtedIUm5biwsLFC0aFH873//Q3R09Ft5/4IFC+LJkyeoUKECDOUzvc4+lrQcNjY2qFatGn7++ed3+jcvXLiAIUOG4F0LDAzEsGHDUKhQIWXEB1dXV7Ru3Rp//PEHDC0Q9DqfW7b1tm3bIqcEobNre9H3bUpfAi2vWgdvM4Clz9fKZHzMdb0A+mzVqlX49NNPlZ9+fn5wd3d/4/fKlSuX8jD0z6nvYmNjlRuSt6lNmzZYs2aN1jRnZ2claJMdHBwcYGjkJmbr1q2YP3++Zr+Rm4nNmzcrJ2pD+exJ205MTAwOHTqkBFDkBsrNze2tvH94eDgCAgKUC5qs7NfvYr95V+tuwoQJMHZJ6yYuLg5///03+vfvr1x4zp07N8vvLcc1uUg2pM/0OiSQNXjwYISGhuK7775TGg88PDxQr169d/L35FySHbp27ars5+vWrUOxYsXg7++PkydPIigoCDmNSqVCQkICzM3Ns/y5dbGt54TtRV+3KX07V72NdaBvn4koU1SUprCwMJWtra3q1q1bqg8++EA1a9Ysrfn79u1T1ahRQ2VlZaVydHRUderUSZneuHFjlazWlA+xZs0alb29vdZ7LF68WFWsWDGVhYWFqlSpUqr169drzZffXbFihfLeuXLlUpUoUUK1d+/ebP2cnp6eKhcXF+U1AwcOVI0fP15VuXJlZd7Ro0eVz//ixQut3/nss89UTZs21Tw/c+aMqkGDBipra2tVgQIFVJ9++qkqPDxcM79w4cLK3/3oo4+Uv1OwYEHVsmXLtNZDyoesYyE/P//8c62/3bFjR1X//v213nv69Omqvn37quzs7DTzXrVMmSXvJ38ztdTL5ufnp2rXrp3y94oUKaLatGmTsmzz58/P1Pft7e390npI+iyp/9ar1qf4448/lO9Rvr/q1aurdu/erbzn5cuXVbqWtE4rVKig2rhxo2a6rLNKlSppfcepP/uiRYuU9SafS7bbrl27auYlJCSo5s6dqypevLjK0tJSWS8zZ85U6Upa207Lli1VderUeel4ce/ePdX777+vfCYbGxvl2HP8+HHN/LSOO6dPn05zmtixY4eqXLlyynqQ7WXevHlay5HWfpO0TPv371eOV7KNyvqNiIhQrV27VvmdvHnzKvtSfHy8ztbdq44Laa2XlPuTfI605qfcD1PuJ9euXVO1adNG+V7k++nTp48qMDBQpStprZsuXbqoqlatqvz/2bNnqg8//FDl7u6ufIeyn23evFnr9RntK6nXQdL6PHHihHIskfesW7euck5JacaMGSpnZ2flmDRo0CCtc0lWP1N0dLSy3cn7y75fv3591fnz5zWvTVrGlOeqNzkHpD5mx8XFqXLnzq368ssv01zOw4cPK8si+42Dg4PqvffeU/blJHKeHDFihNbfCAgIUK4JZH2m9Tczc10gz5OOg02aNFH2z9SfPyWZLvN/+eWXdD97Zv6u/H7NmjWVbcbV1VX5jmUdJcnoe8roHCfb4+zZs5Vzp3xfch74+eefX/p+Dx06pKpWrZqy/pKOdRnJ7OeW82PKZdy2bZtm25Fj8e3bt5XPIdu/HAfkeCDfY5LMXquk/J6/++47Zd+U7Uu2z2HDhinXayk/b8rHlClT0nyfhw8fKucOWS45lnfv3l319OlTzXz5PdkP5fpTfjdPnjzKtWBoaOgr19/bWLdyHSzrS9Zl0aJFtb5XcfXqVWU/kfmyDw0ePFizHlLuc3J8cnNzU7aR9K7DHzx4oGrfvr1ynpL1KufAgwcPZulzZmUdpD7XyPOU34nsb/J5TExMMnU8Se9aWch7lSlTRtnvSpcurVwrZfaaMDExUTkXfPvtt1q/I/PkNXfv3n2r640MA7tIpGP79u0oU6YMSpcujT59+mD16tVKVFwcPHgQnTt3Rrt27XD58mUlGlmrVi1NynaBAgWUVg5JrZNHWnbv3o3PP/8cY8aMgZeXl5LG/NFHH+H06dNar5s2bRp69OiBq1evKn+vd+/eeP78ObLjc8o8qbkwe/ZsXLx4UWlVXbx4seZ3mzdvrqTo7dy5UzNNWg22bdumLKf4999/lZYnieLKZ5B5v//+O0aOHKm1HNISVKNGDWV9Dh8+XEkpu337tjLv/Pnzys8TJ04o61PW8euYN28eKleurLz35MmTM71Mb1O/fv2U7BBJAZX1tXz5cqVlObX0vm9p0U9az7JeZD38+OOP6f69jNantLx16NABFStWxKVLl5S0+fHjx0PfDBw4UCszRLZN2UfSI9voZ599pux78lmPHDmCRo0aaeZLy/acOXOUbeDGjRtKNkT+/PmhTyRbQ1or0spEkO1BjjXyncr2K9+hj49PuscdaVFN+s5l20maJq2/so19+OGHuHbtmrKPyzqRlNuM9hsRGRmJn376SckukfUr27McCyWDQB4bNmzAsmXLsGPHDujLuktN1kHSOpLHqVOnYG1trdlWJMU4aZ6vry/q1KmDhg0bpvleksrdrFkzVK1aVdn+ZJ1IC5WsX30h55ezZ89qWsAkE6h69erKeUzmSTp13759NcfZN91XvvrqK+W4I+tBWo5l/02yadMmzJo1S8k2kO1PspCWLFny1j6TdJeQbVxaCeWYJl1mJGsnvXPl2zoHyOeUrJn0truIiAh88cUXyjqRfdfU1FTZXxITE5X5H3/8sbJuJQsnycaNG5WMCNmu0pPRdYG3t7fSJUpqQfzzzz/KtYV8NxmxtbVVHpKqnXJZXufvPn78WJlWs2ZN5e/K9ytZkTNnztT8fkbfU0bnOE9PT6xfvx5Lly7F9evXMXr0aOV65ddff9Vavi+//FLZbm/evIlKlSpl+Jlf53OnNmXKFEyaNEn5DLIN9OrVS/lssrxnzpzBvXv38PXXXyMrZFuRY618XllfcpySv5F0DJP0/zx58miOVWPHjn3pPWQ769ixo7J+ZV0dP34c9+/fV7JuUu8Psg4OHDigPOS1sh6zIrPrVo4xsh/KNiPbk5yX5PtL2n9k+8iXL59yXJbuSHIdmHo/lX1Lthn5fLL86V2HS5abLMtvv/2mnPvkeCTL+K68ah3IZxJynSPLmPRcyDYk+4N8lqQuD686nqR3rSzHX9ke5Rgs61au6WW9y3aVmWtCyRRLfT2WtNxy3pT9mOgluo5w6Kt69eqpfvjhB+X/EoF3cnLSRMSldaZ3797p/m7qCLJI3SIp7y+R2JQksiyt3Enk65k0aZLmubSuyDSJYmbX5xw+fLjW62vXrq3V6iRR+WbNmmmep85qkJaqIUOGaL2HtByZmpqqoqKiNOtLWv2SSLRUWgKXLFmSbqvh67QKJGWXJMnMMmWW/C0zMzOldSDp0a1bN61lu3nzprL8Fy5c0PyeRHxlWuqWqYy+77Ra4dJaD69an/JTsm5SflaJbutbBoO0AMm2JK0O8pAWDGkZTi+DYefOnUrrS1otLzJN3ks+p75I2dop35FkJMgyjh07Ns2Mp9TKly+vWrBgQYbHnaQWlJSteb169VJa+1MaN26c0pqT0X4jyyTvlbLF5JNPPlFaglK2KLVu3VqZrqt1l5njQhJpzZcsstTHuZTZWLIuklojUx+LpFW+VatWWr/z6NEj5TXSqqkLKY9Jsk5kWeTYJlkr6ZGWsDFjxmRqX8kogyGJtArKtKRjjJw3UrfUS0vc62QwpPeZ5DgpLdaS4ZQkNjZWydD45ptvtJbxdc5LaUm5j8XExCit6vK+Bw4cyDCjLYkcv+T1kvUi5G/ly5dPaRFPIq3zU6dOTfNvZuY8IVkD0vKd0ldffZVhBoOQdSnLIsdZuS6YMGGC6p9//sn03504caLSMir7YxJpJZWMFclAeJPvKSnrQY4xZ8+e1Vpe+Q579uyp9Xt79uxJ9/Nl5XOnzmBYuXKlZv6WLVuUaSdPntTK/JR1kZUMhtSkZV/O20nSO0ekfJ9jx44p+42Pj49m/vXr15XlTcockdZyWb8pz5tyPpB9Nqsys26HDh2q9TvydyVbQyxfvlz5/ZSZRXJskf00KQtD1mH+/PmV/TG99ZCkYsWKWvtWdnid7SuJfCeyr6TMgsnM8SS9a2XJPkidpSbnLrnGz+w14ePHj5Vt6a+//tLsu3K/INlRRGlhBkMaJBIqkcCePXsqzyVCLRFficYLiSZK631WSBSxfv36WtPkeVLkNknKKLwUlZKIdVot3+/ic8qy1K5dW+t36tatq/VcIs7Siimt80mRUikWmVR8SKLS0jKaFMmVh0SkJeIqLS1pfU6Jlkq/x7f1OaUlP6XMLlNmNW3aVNkmkh7S6pB6Pcu6lYJgSSTiK1H51N7W953R+pTlkfnSapskKQNH3/qSyrYk35VEyuX/Tk5O6b6+ZcuWKFy4sNLPUVpkZVuUFvekbVlaELK6375t0toi2598F1JITPY/yShIK4NBWqjKli2r7FvyO/KZkjIY3sax5+7du0oGUnr7jcidOzeKFy+ueS6t2lJMK2UrkEx7W/vu21h36ZG+/NJyJttMWtlAkmUkx8J9+/al269ZjiWSdZbyWCIZYUmtgrqSdEz666+/lFoFkvkjn1XIdywtVNJaJTVMZJmPHj2q2ZbedF9JecxJqiGS8piT+hjzusec9D6TrGf5LlNu05JVIO+f+nya2XOAtPClnJdyP5OWPZkm+4K0gEpLb3oFkmWfkvOrHJPkWC77ikh6P9l25Vgl2VlCWg8lOyOpiG16MjpPyLqWLILXXdeyLuU8Ltu7ZHfIeV3OWSkzmzL6u7Ku5fpAzjdJ5DuRY5dkAr3J95TUkivHcTm+p/xOJKMh9T6W1jHrbXzu1FKuh6TMHtmf3uYxUFqhZR+UbBY7OztlO5F++0nntMyQ9SqZIfJIUq5cOeUcknKdy3YpfyPl/vs2juGZWbeprynledKyyU/JopNtLYlsP7KfJmXnJa37zNQokAxHyaiR95AsFMnEedfeZPsScl5Kfd551fEkLZL1IPvJoEGDtPYfWQ9J+09mrgmlhpMc55KOVfv371fOE927d3+DtULGgEUe0yAXlVKNPGVRNAk0SgXYhQsXZmuxRjkBpyQn76R0qHf9OTNDLmTkhkNSpiUNX7p+pDxwysWFpGjKgT21lMX63uRzSnpYUneOJHIBk1rKk9PrLFNmyfu/rRSxt/V9v8vtJjtJWl5SOuSiRYsyfK1cIMkFupzAjx07pqQEyg2npB3qa4FVuWmSVGK5OJL9ML2iZBJckPRP6bYg25p8HkmDzkyXgDeVer9Jb7vS1baW3rrL7HFBjlcysoYEWVOvdwkaSOHbLVu2ZJhqLccSSS1Nq9Dg2yrU+SZSHpPkglAu0uV4LxeZ3377rRJQkRRruTCX18rwpUnb0pvuKym3g6SbzLe5HaT3mVLfTGfGq84BMoJNym4uKc+R48aNUwIAcpEuN5Ipb6hTk21DbhRWrFihvIesDxl9I+V+K90kZOhnuQmXQKp0jZDfyci72ufkBkNu5OUhKdSybHIjlhTw0MW+Lt+VkC49crOdklyrvOqY9TY+d2a29dTTUq6XzB6TUo4G0L59e+UYJWntEgiULjyy/8q2I8Gtt+ldfq+vu27fRGa/d/nbEkiUbUmuEaTrjXTrkmP9u/Qm6yCtz5SZ40l6+4/8TuoGw9ctRC7LLYEuKb4txyoJ6r/tbZEMBzMYUpEbbomMy0EnZau0tHjIDp10wSn9n9IjF7wpWwLTIi2RqYfqkecSXdaXzynLKK1FKf35558vvZdkMUhrsUQ05USasjVHIrXSh1cuDFM/MlsVN+l1qdepRHdT1riQ+dL68ypvY5leh9S3kPUtfdlTtsq8ePHitd4nvfXwJssj/Q9T9glM2fdPn0jEX06ecjEmFwavIjeKLVq0UIYJldYJuVCTvqslS5ZUbpwy2m91IemmSW5qMqp4LscGuRiR/pZyUygZKfLZXve4k9Gxp1SpUtk28sm7XHeZOS58//33So2ZvXv3wtHRUWue7JsSvJk4cSK6dOnyymOJ9JGWlqTUx5I3vdl52+SYLJ9F+oxHRUUp37X0y5Y+7HKTLq1hKYdQfhf7ihxzUh9jsnLMSfmZJMAt237KbVqOF/L+6Z1PX3UOkBu6lNNSbl+SRSXTZB/MKLggrc3SMijLKC3Rst+ldcyX/Vla3uUGQOoxpKxd8abrWvpov411LetPWkAzQz6fDHmd8kZavhMJ/Ep/+Mx8T2md42SeBBKklTb1d5WyZf5tep3PnRmve60idUrk5lGuz6QGjBybk7JEX/c6U4Ko8kgi273Ujsmua81XrdvU15TyXJZbyE+5Jk35etl+ZP+X7Twj6a0f2WYkgCj1CaQGmux3ulwHEtzJzHk7M8eTtPYfCYLKNb3U3ki9/8hwv69zTSg1VuS8JoF9qTeU1WMVGTYGGNJIu5WdViLFEhlM+ZBUJ2kxkcij3IDLT0nhSioWk0QuNqWIjBQ9evbsWZorXlpBpKVfdlRJe5ILXjngpVWoR1efU4pQSkuRRCrlAlQ+r1xMpxVgkJZjibTLhXnKVgVJJ5ViXNIKLQEM+axyUf86xbRcXFyUC96kAmohISHKdGnpkUi0PG7duqVE+zMzfvbbWKbXISnTctMrxdSktVQCDfJ/+UwZXaCmJpFreb18dzK2clJk+nVJQSq5eJFlkO1X0qOlZVy8zvJkB7nhlWWUi6JX3fzKepHuKfKdPnz4UAmgyeeUk6e0IMj3LkWyklJr5UImqTuQvpObvqRiT3LBlfQdppSZ446Qiyq5eZQ0edmvpdCTZCxl17HnXXvVcUFSj2U7kJZ8uVl8+vSp8pDjityASyuRFG2U/SNpnjzSIkXDpICapK3KBZlsV7I/Sfp+VgOBb5Okscr+I1lAsi1JNowcA2XfkpZ8Oa4meRf7StIwyLKtyfFW0nMlAJiV403SZ5JzqHzHck6Vc4QcK2QYSUkll/Obrs4B0gVOglfS1UaCVhLolAJt6bUMSlcLuTmXIGJWyPcp2718Rtm/JZCWlFWY3vqWmxfZb6TApHwv0k1ECupJoFaCUZkhxYTlRla+a/n7sj7lmkE+s9wQyo3Jq76ntM5xEqCQY5MUdpTtR7ZHud5YsGCBpkjdm3obnzszXvdaRW7+JPgin1FuDKV4rhS4TH28l/Ujx3I53qfVdUKuOySAlXSNJtcfUnC6cePGb9Sd5F2sW5km15lJ15iyjEn7oSy3HI+kS5QEZJIyy6QV/VVFZ9M6H0qmlhyfZVlkfcj7JQUzdLUOZDnlO5RzTEaNTpk5nqR3rSzFWSVbQ66PZD3LPYtc18t9x+tcE8rxVho6pAiwnEdSd28hSokBhlTkIkgOyvb29qlnKTfe0jIgrRtykJA+VZLaKAeQlBW4pXKttC5KxD69vrtS4VnSVGUnLl++vFJ5XXb4Jk2aQF8+pxx4JZ1LLjSl6rjctMmJMa2TofTXkgNo0ugRSSTbQyoSy0FNKrHLhbukrqdMOX0VaT2SA6OsI/m9pAOzRE/lxJN0wpSWOEmbfpW3sUyvSy7U5YQoFXflAlIurOTCKWWft1eR9FA5UUilbHmvN70Ylr57km0iF9ay/UqF8aSK16+zPNlFllceryL9SuUmXPZH2XblgkwCgbJ/CdmW5eZaPqvMl/S+7KgV8DbIhYBcYEj1cLkBlmyOlDU9MnvcEfJ7ctMh3ZokoCjrQ373baas6tKrjguSaiw3/9KKJd0Ykh4SUJWLMrkBkAs+OR6knJ8WeY20qMn7tWrVSrmYl4tY2RblpkpfyDFUjhdyYSv7gGwDsg3J+UZa4uV8lNLb3lfkvCAXpXKjKH9bLrRle8vK8SblZ5Lgtpy35MZD3l8uwOUiOa06N9l1DpDvX/YxaY2W/UxukCWolRYJUMnnkZ9ZPQZLq6SM4iLHQvmcEoBJGkUidZeCJNLdQ9KnJfVZzlGyvLINyHkqs90l5fwkI8nItZBkxsj+JYEDaXFNIkGUjL6n9M5xEgyV5ZGbJNkeJbNNbtaTWmDf1Nv43Jnxutcqsv7kmC8NV7JMkiEqnz0lORfIOpZ9U473sh+kJjeHEuiR9SufT6755G/LqCnvWmbXrXzfsp/ItirXSXLOTsqukPR72T4kiCtdoaQBS1rvM/PdpHU+lOO0BIWTtiHJDEk5Mpou1oFkqUjAVzIr5DiUleNJetfKEsBcuXKlco8h5yjZBiXomLT/vM41YVI3nYxG9CISyuCqXBVE2Uv628oJJamQk67JBYycMCTira/1CojIcEh/ZAluSOussUu6EZIsmNSBw7dBAjAScE2ZKk+kaxIAkbpdqQOcBL29JpRhWOWaVY4l+jbMN+kXFnkkygaSzibpjBI9lr6YkhUiqXES1dYFaSmQlgxpMZKUe0mnlaJmDC4Q0dsm6dtygytZE5JmK62UElyVljtjJmnwkkYtrfzS1/5tBRekVVZafCWlWjJspKXzXXUBJKKc71XXhFKfQbotSeFs6Z7G4AK9CgMMRNl0ISlFyaQ/pXSNkPRGiRCnrt6cXaS/n6TAyU9J/5YThrRyERG9i5ZKSZ+XY0x0dLRSF2Xnzp1KyrYxk5t/SZWXVG3p1vC2JNW5kNRyKYIq3V2kiwoR0ZtcE0pQWLpHSBcKCUYQvQq7SBARERERERFRlulPFSoiIiIiIiIiyrEYYCAiIiIiIiKiLGOAgYiIiIiIiIiyjAEGIiIiIiIiIsoyBhiIiIiIiIiIKMsYYCAiIiIiIiKiLGOAgYiI6C2RccQ///xzlChRAtbW1sifPz/q16+PJUuWIDIykuuZiIiIDJq5rheAiIjIENy/f18JJuTNmxezZ89GxYoVYWVlhWvXrmH58uXw8PDA+++//07+dmxsLCwtLd/JexMRERFlFjMYiIiI3oLhw4fD3NwcFy9eRI8ePVC2bFkUK1YMHTt2xMGDB9GhQwfldcHBwfj444/h7OyMPHnyoFmzZvjnn3807zN16lRUqVIFGzZsQJEiRWBvb48PP/wQYWFhmtc0adIEI0eOxKhRo+Dk5ITWrVsr0728vNC2bVvY2toq2RN9+/bFs2fP+P0SERFRtmCAgYiIKIuCgoJw7NgxjBgxAjY2Nmm+xsTERPnZvXt3BAQE4PDhw/j7779RrVo1NG/eHM+fP9e89t9//8WePXtw4MAB5fHrr79izpw5Wu+3bt06JWvhjz/+wNKlS5XAhQQrqlatqgQ5jhw5An9/fyXYQURERJQd2EWCiIgoi+7duweVSoXSpUtrTZfsgujoaOX/EnyQLIbz588rAQbpPiHmzZunBBN27NiBIUOGKNMSExOxdu1a2NnZKc8lE+HkyZOYNWuW5r1LliyJb775RvN85syZSnBBumckWb16NQoWLIg7d+6gVKlS/J6JiIjonWKAgYiI6B2RYIIEC3r37o2YmBilK0R4eDgcHR21XhcVFaVkLSSRrhFJwQXh5uamBCVSql69utZzee/Tp08r3SNSk/dmgIGIiIjeNQYYiIiIskhGjZAuELdv39aaLjUYRK5cuZSfElyQYMEvv/zy0ntIccgkFhYWWvPkvSVQkVLqrhjy3pIhMXfu3JfeW/4mERER0bvGAAMREVEWSUZCy5YtsXDhQnz66afp1mGQegsylKUUg5QshbdJ3nvnzp3K+8r7ExEREWU3FnkkIiJ6CxYvXoz4+HjUqFED27Ztw82bN5WMho0bN+LWrVswMzNDixYtULduXXTq1EkpCvngwQOcPXsWX331lVKYMSukxoMUiuzZsycuXLigdIs4evQoPvroIyQkJPA7JiIioneOTRxERERvQfHixXH58mWlyOKECRPg6+urFHIsV64cxo4dqwxjKV0dDh06pAQU5MY/MDAQrq6uaNSokTKsZFa4u7srI0qMHz8erVq1Umo+FC5cGG3atIGpKdsTiIiI6N0zUUnZayIiIiIiIiKiLGCTBhERERERERFlGQMMRERERERERJRlDDAQERERERERUZYxwEBEREREREREWcYAAxERERERERFlGQMMRERERERERJRlDDAQERERERERUZYxwEBEREREREREWcYAAxERERERERFlGQMMRERERERERJRlDDAQEREREREREbLq/6N5BUSt1n1IAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1400x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_platforms = (\n",
    "    df_eda.groupby('Platform')['Global_Sales']\n",
    "    .sum()\n",
    "    .nlargest(10)\n",
    "    .index\n",
    ")\n",
    "\n",
    "platform_genre = pd.pivot_table(\n",
    "    df_eda[df_eda['Platform'].isin(top_platforms)],\n",
    "    values='Global_Sales',\n",
    "    index='Platform',\n",
    "    columns='Genre',\n",
    "    aggfunc='sum',\n",
    "    fill_value=0\n",
    ")\n",
    "\n",
    "plt.figure(figsize=(14, 7))\n",
    "sns.heatmap(\n",
    "    platform_genre,\n",
    "    annot=True,\n",
    "    fmt='.0f',\n",
    "    cmap='YlOrRd'\n",
    ")\n",
    "\n",
    "plt.title('Top 10 Platform vs Genre (Global Sales)')\n",
    "plt.xlabel('Genre')\n",
    "plt.ylabel('Platform')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38dd9e2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mL8+BrQIUgmOjiqAqdbHta1FY1Rd1XbTfVN1+/fXX3Rf2yznxoWpuVJXC6LZTA4MpQMcUsDTImUKquiAEVgkjN9P10wkLjcKukz1at5puFyhQ4JLB57SNgdVsnRQK5D9eIt/uP6b0PP7KrPajTjYpSGsb/c2F9VPbroD2999/u5MmCc3rv4O4Pmdc91Xg31HgCRD9jWubL2fQLgVYVcBjC5dqtaHPKL0fcemC4j9OVSFXtTuhT0jouUShPi5/v1pe1Wz/1GM6EagB4CKfKAAAXBn6ZANIdOpvrMChvpLqx6wvjLpN4c0fIgMdPHgw4ndVutXkVhVWP1WnoqsiBVIfWE1ro+bXgaFP/TcVptSHNz78FanIFSj/6NyXQ+EuKv5+qP7mtnpuBU/1ofZTiAgccTs6qr5rHyqgR6YKrz8IR56GTIHMPxdy5Cm04kqBWAKrhDFtp/riv/nmm5fcp5Gp/f2bo3of1Hw3phMOasquYKT1qKof+Fp1nGgfBE4Bpv2s4ySQWg8otKiqHzi9l6qgX3/9tVtPIAXqNWvWuPDvD9kKl2ou7R+9PbCvbkLx+u8gLuK7r/zdTAL597+CcEwCPy/89F7q9ti6OugEiMZFUKsNnQSMSuS/dx2nOj40fkJk2q/RTf12OfT5pybho0aNsnPnzkX72tVlIvJ0Zwrcag5/uX+7AIDoUckGkCSoebWmm9K0N5omSV+oVVlU82AN9qPqtip7CoOazkoVTVETZ1VhFIw0EJJ/Ci99OVbYjqniqSmIFOQ1+JL6Oqsipoqm+lcqGPv7Y8aVvuyq8qhBtPSFV/2KFRg0fc/l0mBhqt6pcqwvxQqSCoMKp5o/29/EWlN0qWm0QoOa3qvfp/ahqsuqUsa271X1VR9N/9RBeh5Nj6X9obCu8Ne1a1e3T9X/U6FU/WoVdBSW/P13Y6JptvwVM33p1zRMClnaxg4dOsT6eC2jPuE6PhRMVSlUmFHlU7frJIEq/Oor7q+4q/m3KtAK5jp5E9VJGz9th94vneBReFEzWr2nWo+eS60stC/UT/rTTz+Nso+9+ucq9GmcAE3J5J+WSn3ANU1VIAXokSNHurmYA8O0jiEdlzoeY5u2zQte/x3EVXz2lejvSF0idIzrc0DHko712E7QqGquQQv1WaLWHmqpoDETdNzq+IiN9oGeW58vepyOBx1LGmBM+0h/i4F9y3VSQutVCx2d/NPxqFY5qhxrUDRNtacBH72g41MnDPS3oTnWNeWdmqNrWi6NM6DjVicH9LenVho6AaDjV83INQ2dPlP1GACAxzwapRwAYuWfhmbt2rWX3KcpqUqUKOEu/ilqtm/f7qbyCQ8P96VLl85XsGBB35133umm4Qmk6bs0nZKmvSlUqJBv9OjRvvHjx7vn0lQ20U3hJX///bfv/vvv911zzTVumixNGxY4JVPg1EVRTX8TeVqivXv3+lq1auWm1dEUOm3btvX99ddflywX1ym8NP3Xvffe6/ZLpkyZfBkzZvSVK1fO98QTT0RMrRQ43ZemJdJ+uO6669xz+Kc/imkKL/9UQEOGDPGVLFnS7QftD02X9sILL7jpnET7/fbbb3fTLmmZwoUL+3r06OHbt29fjK/Bv58CL5qqSu9V9+7d3XsQSO9R+fLlo1yPtuX555939+t15syZ03fjjTf6hg8fHjQd09y5c33XX3+9219FixZ1j5k2bdol+zyqKa3WrFnjy5Ytm+/WW2+NmApM00x16NDBTV+l91W/67iLPIWXaIq62rVru/dLyzdr1sy3adOmS16L3j/tBz1X4LRMmkpL69VzRBbV9kZ3bEclusdf6d/B5UzhFdd95T+Gdftdd93l9pfed03L9d9//8X63F27dnV/M3qcPkd0jD/66KOX/P3ERO+P9oemw9P0gJoCTPtKUw1qCrmotuONN95wx6Zem55b+3Tw4MHu8yC+72dMn52yZMkSN0Wdjk0d8/q86Ny5s2/dunXufk0x1rt3b/e5oOn6tFyNGjV8H330UZz3AQAg7kL0j9fBHQASmwb5UXVOVczoBhYCkPSpqq1xDtT0WS0qAABI6uiTDSDZUzPTQOpPq9F21dycgA0AAICriT7ZAJI99elUP1r1C1Yfw6lTp9rx48ejnWMbAAAASCiEbADJnkYi1kBNb7zxhhvoTAMAKWhfjemPAAAAgED0yQYAAAAAwCP0yQYAAAAAwCOEbAAAAAAAPEKf7FTm4sWL9tdff1m2bNlc31UAAADgatIMwv/++68VKFDA0qSh5oeUh5CdyihgX3vttYm9GQAAAEjl9uzZY4UKFUrszQA8R8hOZVTB9n+oZc+ePbE3BwAAAKmMptlU0cf/vRRIaQjZqYy/ibgCNiEbAAAAiYWui0ip6AQBAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEfokw0AAAAA0bhw4YKdO3eO/ZOKpUuXztKmTRvn5QnZAAAAABDFfN779++3o0ePsm9gOXLksPDw8DgN2EfIBgAAAIBI/AE7b968ljlzZkZDT8UnW06dOmUHDhxw1/Pnzx/rYwjZAAAAABCpibg/YOfOnZt9k8plypTJ/VTQ1jERW9NxBj4DAAAAgAD+PtiqYAOBx0Jc+ucTsgEAAAAgCnHpf4vUISQexwIhGwAAAAAAjxCyAQAAAACxmjFjhhtlGzEjZAMAAABAMte5c2fXpFkXzetcrFgxGzx4sJ0+fdqz57jnnnts69atnq0vpWJ0cQAAAABIARo3bmzTp093g3P98MMP1qlTJxe6n3/+ec9G2faPtI3oUckGAAAAgBQgQ4YMFh4ebtdee621bNnSGjRoYAsXLnT3Xbx40UaPHu0q3ArKlSpVslmzZgU9fu7cuVaqVCnLmDGj1atXz2bOnOlCuqYzi665+KRJk6xEiRKWPn16K1OmjL399ttB9+vxU6ZMsVatWrkRurV+PU9KRsgGAAAAgBRm48aN9u2337rwKwrYb731lk2ePNl+/fVXGzBggP3vf/+zZcuWuft37Nhhd911lwvn69evtx49etgTTzwR43PMnj3b+vXrZwMHDnTPp8fcf//9tmTJkqDlhg8fbnfffbdt2LDBmjZtau3bt7fDhw9bSkVzcQAAAABIAebNm2dZs2a18+fP25kzZyxNmjQ2YcIE9/uoUaNs0aJFVrNmTbds8eLFbeXKlfb6669bnTp13E9VoseOHevu1+8KziNHjoz2+V544QXXF7xXr17u+sMPP2yrV692t6sS7qdl2rVr537XdowfP96+//5717w9JSJkAwAAAEAKoGCr5tsnT560l156yUJDQ61Nmzaucn3q1Clr2LBh0PJnz561ypUru9+3bNli1apVC7q/evXqMT7f5s2brXv37kG31a5d21555ZWg266//vqI37NkyWLZs2e3AwcOWEpFyAYAAACAFEABtmTJku73adOmuX7XU6dOtQoVKrjbvvjiCytYsOAl/bgTWrp06S7pp60+4ikVIRsAAAAAUhg1FX/88cddE25Nu6UwvXv3btc0PCpqHj5//vyg29auXRvjc5QtW9ZWrVrlRjH3W7VqlZUrV85SM0I2AAAAAKRAbdu2tUGDBrn+1o888ogb7EwV5JtvvtmOHTvmArGabiska9CycePG2aOPPmpdunSxn3/+2Y0m7q88R0Xr1oBmanKukcw///xz+/TTT13f79SMkA0AAAAAKZD6ZPfp08fGjBnjRg/PkyePG2X8jz/+cFNxValSxVW7RVN7aUovjRSuPtUaIE2ji/fs2TPaJuUaiVzLaqAzjTKudUyfPt3q1q1rqVmIz+fzJfZG4Oo5fvy4hYWFuTNXOmsFAAAAXE3J4fvo6dOnXShVaNSc0amVRhbXlF979uyx1O50PI4JKtkAAAAAAJs4caIbYTx37tyuKbmm81IlHPFDyE6lWoR1tNCQ4FH+ACC1ONSjVmJvApCoQlscTFXvwOobZiX2JiQ5acK3JvYmIAnatm2bPfvss3b48GErXLiwazo+ZMiQxN6sZIeQDQAAAABwc2vrgiuT5gofDwAAAAAA/h9CNgAAAAAAHiFkAwAAAADgEUI2AAAAAAAeIWQDAAAAAOARQjYAAAAAAB4hZAMAAAAArrqnn37abrjhhhS355knGwAAAADioGGatld1Py28+HG8H9O5c2ebOXOmjR492h577LGI2+fMmWOtWrUyn88XtPx1111nO3bssF27dll4eHicn0ePeeKJJ2zp0qV2+PBhu+aaa+zGG2+0559/3q0zNaOSDQAAAAApSMaMGV3YPXLkSIzLrVy50v777z+76667XDCPq3PnzlnDhg3t2LFj9umnn9qWLVvsww8/tIoVK9rRo0cttSNkAwAAAEAK0qBBA1eVVjU7JlOnTrX77rvPOnToYNOmTYvz+n/99Vfbvn27TZw40W666SYrUqSI1a5d25599ll33e/RRx+10qVLW+bMma148eI2dOhQF9BjMmXKFCtbtqw7UaCKuJ7D7+zZs9anTx/Lnz+/u1/PG9trTAw0FwcAAACAFCRt2rQ2atQoF6D79u1rhQoVumSZf//91z7++GNbs2aNC7OqSq9YscJuueWWWNefJ08eS5Mmjc2aNcv69+/vni8q2bJlsxkzZliBAgXsl19+sW7durnbBg8eHOXy7777rj311FM2YcIEq1y5sv3000/uMVmyZLFOnTrZ+PHjbe7cufbRRx9Z4cKFbc+ePe6S1FDJBgAAAIAURv2vNajYsGHDorz/gw8+sFKlSln58uVdSL733ntdZTsuChYs6AKvAnHOnDmtfv369swzz9gff/wRtNyTTz5ptWrVsqJFi1qzZs3skUcecQE5OtrWF1980Vq3bm3FihVzPwcMGGCvv/66u3/37t1um2+++WZXxdbPdu3aWVJDyAYAAACAFEj9stXXevPmzZfcp+bh//vf/yKu63dVtlXhjovevXvb/v37XfW5Zs2a7rEK7AsXLoxYRv201YxcTdezZs3qQreCclROnjzpmqB36dLFLeu/qAm6bvcP6vbzzz9bmTJlXIX+66+/tqSIkA0AAAAAKdCtt95qjRo1siFDhgTdvmnTJlu9erVrth0aGuou6kt96tQpV+GOKzX9VoV65MiRtn79etfU/Nlnn3X3fffdd9a+fXtr2rSpzZs3zzX91mjk6lcdlRMnTrifb775pgvS/svGjRvdtkqVKlXcqOaqmmvAtrvvvtsN2pbU0CcbAAAAAFKo5557zjUbV/XXT83CFcBfe+21oGWnT5/u7lM/6PgKCQlxfbu//fZbd10/1aRbwdpP04RFJ1++fK7vtpqcK5xHJ3v27HbPPfe4iwJ248aN3RRiuXLlsqSCkA0AAAAAKZSm1VJoVR9q0ejeb7/9to0YMcIqVKgQtGzXrl1t3LhxbvRwNf2OjirM6j+tUcnLlStn6dOnt2XLlrkm6I8++qhbRn2n1TRclfFq1arZF198YbNnz45xW4cPH+6agYeFhbnwfObMGVu3bp2biuzhhx9226aRxTUomgZeUxN1NUXPkSOHJSU0FwcAAACAFEyB+uLFi+53jc596NAhNzBaZJo6S5fYBkDTaOUazEyhuEaNGq4Z9yuvvOKuP/H/KtfNmzd3g5Zpyi1V0lXZ1hReMVHI1xReqqjr5ECdOnXc6OQaBM3fPH3MmDFWtWpVF9x37txp8+fPd4E7KQnx+Xy+xN6I1EgHi4a7v9qTtR8/ftydGaprLSw0JN1VfW4ASCoO9aiV2JsAJKrQFgdT1Tuw+oZZib0JSU6a8K2J9tz+76OaMkpNf5Oi06dPu76/Cneajxk4HY9jImlF/iROnfc1vP0dd9wRr8fpLM/LL78cdJv6EGzdmngfbgAAAAAA7xGy40HNJh566CFbvny5/fXXX1e04zNlymR58+a9onUAAAAAgNdWrFgRNI1W5AtiRsiOIw0pr3neevbs6SrZau4d6PPPP3f9AtR04Jprrono41C3bl03ip76I2jEPV1Ej4/cQX/SpElWokQJN3CARv/TgASB9Fj1UdC6M2fO7AYTUJ8KAAAAAPCK+jwHTqMV+YKYEbLj6KOPPnJD0iv8aqJ2jZzn786ukfIUfDUHnOZ/W7x4sVWvXt3d9+mnn7qBATTYwL59+9wlKhppr1+/fjZw4EA3F1yPHj3s/vvvtyVLlgQtp8EENB/chg0b3PNppEANWQ8AAAAAXlCr25IlS0Z7QcyYwiseTcUVrkXDyWugBg1Tr0q1Jl+/9957XQD2q1Spkvup+drUj1sj4Wl4+ei88MIL1rlzZ+vVq5e7riHqNem6bq9Xr17EclqmXbt27vdRo0a5ofi///57t01R0bD3ugQONAEAAAAASBhUsuNgy5YtLsj6w21oaKgbuMw/tL2aTNx2221X9EZs3rzZateuHXSbruv2QNdff33E71myZHEjMh44cCDa9Y4ePdqN3ui/XHvttVe0nQAAAACA6FHJjgOF6fPnz1uBAgUiblNT8QwZMtiECRNcc4qrJV26dJf00/bPeReVIUOGuKp4YCWboA0AAAAACYNKdiwUrt966y178cUXgzr7r1+/3oXu999/31WX1Q87OhrI7MKFCzE+jyZ9X7VqVdBtul6uXDm7EjoRoGp34AUAAAAAkDCoZMdi3rx5duTIEevSpYtrbh2oTZs2rso9duxY11xcI4Orb7aC+fz58+3RRx+NmCdb037pPoVejT4e2aBBg9yAZpUrV7YGDRq40co1aNqiRYu8fL8BAAAAAAmISnYsFKIVeiMHbH/IXrdunRvc7OOPP3bTad1www1Wv35914fbTyOL79y504XwPHnyRPk8LVu2tFdeecUNdFa+fHl7/fXXbfr06W5gNQAAAABISZ5++mmXnVKiEJ9/HiqkCuqTrRMGda2FhYYE9+8GgNTiUI9aib0JQKIKbXEwVb0Dq2+YldibkOSkCd+a6N9HNVtPUu3KePr0aduxY4cVK1bMMmbMGHF7lZ4vXdXt+HHSgHg/RrMRzZw585LbGzVqZAsWLHBjOmn6YBX5Ij/u6NGjNmfOnFifQ/vmiSeesKVLl7rphNVS98Ybb7Tnn3/eTXsc15Ct50ou825Hd0xEhebiAAAAAJCCaHpftYoNpG6rXjh37pw1bNjQypQp47q35s+f3/bu3WtffvmlC+mguTgAAAAApCgK1OHh4UGXnDlzerLuX3/91bZv324TJ060m266yYoUKeKmHn722WfddT+NT1W6dGnLnDmzFS9e3IYOHeoCekymTJniBoRWpVgVcT2H39mzZ61Pnz4u1Ot+Pa+mK06KqGQDAAAAAOJEY0ylSZPGZs2aZf3797e0adNGuVy2bNlsxowZbkamX375xbp16+ZuGzx4cJTLv/vuu/bUU0+5KZI1GPRPP/3kHpMlSxbr1KmTjR8/3o2B9dFHH1nhwoVtz5497pIUEbIBAAAAIIXNkJQ1a9ag2x5//HF3uVIFCxZ0gVdhefjw4Va1alWrV6+etW/f3lWs/Z588smI3zXb0iOPPGIffPBBtCF72LBhbtrk1q1bu+vq+7xp0yY3ILRC9u7du61UqVJ28803u37lqmQnVYRsAAAAAEhBFHonTZoUdJtmRPJK7969rWPHjm7gs9WrV7uZlkaNGuUqzQ0bNnTLfPjhhy6Mq2n5iRMn3DTH0Q10d/LkSbecpk1W9dpPj/HP8qSB2fx9wdXn/M4777Tbb7/dkiJCNgAAAACkIGpiXbJkySjvU5NtjewemQYti2ra4uhoPc2aNXMX9cfW6OX62bBhQ/vuu+9cZVuVbt2u9aqKrUp1VBTC5c0337QaNWoE3edvjl6lShU3urcGWFu0aJHdfffdbqplNVtPapgnGwAAAABSCVWCf/jhh6DbLly4YOvXr3cDlV0ONd/WQGWqSMu3337rmnNrmi81J1cz7127dll08uXL5/pu//HHH+7kQOBFzcb9VAm/5557XBhXpfyTTz5xU4glNVSyAQAAACAFOXPmjO3fvz/ottDQUDef9cMPP+yaZSsUq+qsYPzqq6/akSNHrGvXrrGuW/Naq/90hw4drFy5cpY+fXpbtmyZTZs2zY0oLgrV6kOt6nW1atXsiy++cHNzx0RV7759+7qqt5qD6zWsW7fObZe2edy4cW5kcQ2KpoHX1ERdo6bnyJHDkhpCNgAAAACkIAsWLHCBNHIF+7fffrN27dqZz+dzofWxxx5zU2zdeOONtnz5cldRjk2hQoXcQGYKxTt37nRVbP/1AQMGuGWaN2/ufteUWwrLd9xxh5vC6+mnn452vQr42paxY8faoEGDXJP3ihUruhHM/c3Tx4wZY9u2bXNNyBXe58+f7wJ3UhPi0x5GqnH8+HF3dqiutbDQkHSJvTkAkCgO9ajFnkeqFtrioKUmq29Ien02E1ua8K2J/n1U/YKjGwgrsZ0+fdr1/1VTZc3JDJyOxzGR9GI/AAAAAADJFCEbAAAAAOCsWLHCzbEd3QWxo082AAAAAMDRaOAa3AyXj5ANAAAAAHAyZcoU7RzbiBuaiwMAAAAA4BFCNgAAAAAAHiFkAwAAAADgEUI2AAAAAAAeIWQDAAAAAOARRhdPpT479pZlz549sTcDAADgKhjFXgYSSUhIiM2ePdtatmyZat4DQjYAAAAAxEH1BY9f1f30feP4nyDq3LmzHT161ObMmeN+nzlzprs9Xbp0VrhwYevYsaM9/vjjFhoaexR88803bcKECbZ9+3a3fLFixezuu++2IUOGXNbrSS0I2QAAAACQQjVu3NimT59uZ86csfnz51vv3r1d4I4tKE+bNs369+9v48ePtzp16rjHb9iwwTZu3HjVtj25ok82AAAAAKRQGTJksPDwcCtSpIj17NnTGjRoYHPnzo31cVpGVesuXbpYyZIlrXz58tauXTsbOXJkxDJr1661hg0b2jXXXGNhYWEujP/4448xrnfPnj1uvTly5LBcuXJZixYtbOfOnRH3L1261KpXr25ZsmRxy9SuXdt27dplyQkhGwAAAABSiUyZMtnZs2djXU7BfPXq1TEG3H///dc6depkK1eudMuWKlXKmjZt6m6Pyrlz56xRo0aWLVs2W7Fiha1atcqyZs3qqu3apvPnz7u+2wrrqpp/99131r17d9evOzmhuTgAAAAApHA+n88WL15sX331lT300EOxLj9s2DBr3bq1FS1a1EqXLm01a9Z0Afquu+6yNGn+r1Zbv379oMe88cYbrvq8bNkyu/POOy9Z54cffmgXL160KVOmRARnNWXXY1TBrlq1qh07dsw9tkSJEu7+smXLWnJDJRsAAAAAUqh58+a5anHGjBmtSZMmds8999jTTz8d6+Py58/vKsm//PKL9evXz1WZVbVW1VlBWf7++2/r1q2bq2CrubhmLzpx4oTt3r07ynWuX7/efv/9d1fJ1jbpoibjp0+fdoOr6XcN1qZqd7NmzeyVV16xffv2WXJDJRsAAAAAUqh69erZpEmTLH369FagQIE4jSoeqEKFCu7Sq1cve/DBB+2WW25xlWqtV6H70KFDLgyrz7f6f9esWTPa5ugK4DfeeKO9++67l9yXJ0+eiMp23759bcGCBa7y/eSTT9rChQvtpptusuSCkA0AAAAAKZQGENPAZV4oV66c+3ny5En3U32qJ06c6JqR+wc1++eff6J9fJUqVVxwzps3r6t6R6dy5cruohHQFdrfe++9ZBWyaS4OAAAAAAiikcifeeYZF6Q1+JkGNtMc26o4K/iKmom//fbbtnnzZluzZo21b9/eDawWHd2vkcg1orgGPtuxY4fri63K9d69e911BWs1U9dzfv3117Zt27Zk1y+bkA0AAAAAKYT6S8e3SXhUNNWXgnXbtm3dwGdt2rRx/bo1eFru3LndMlOnTrUjR464CnWHDh1cWM6bN2+068ycObMtX77cChcu7AZVU3jWFGHqk63Ktu7/7bff3HPpOTWyuOb17tGjhyUnIT4NM4dU4/jx425QAo3aF1MTDQAAACC1fh9V6FNVtVixYi5YJicamEzNwydMmJDYm5KixOeYoJINAAAAAMmcKsoaSVzNr1WFRuIhZAMAAABAMvfAAw+40b8HDhzo+jzHRtN5+afRinwZNWrUVdnmlIrRxQEAAAAgmZs9e3a8lp8yZYr9999/Ud6n+apx+QjZAAAAAJDKFCxYMLE3IcWiuTgAAAAAAB4hZAMAAAAA4BFCNgAAAAAAHiFkAwAAAADgEUI2AAAAAAAeIWQDAAAAAGzGjBmWI0eOZLsnQkJCbM6cOYm9GUzhBQAAAABxcXF/6au6o9KEb72sx+3Zs8eGDRtmCxYssH/++cfy589vLVu2tKeeespy587tlilatKj179/fXZKCN9980yZMmGDbt2+30NBQK1asmN199902ZMgQS26YJxsAAAAAUog//vjDatasaaVLl7b333/fhdVff/3VBg0aZF9++aWtXr3acuXKdVW36dy5c5YuXbpo7582bZoL++PHj7c6derYmTNnbMOGDbZx40ZLjmguDgAAAAApRO/evS19+vT29ddfu8BauHBha9KkiS1atMj+/PNPe+KJJ6xu3bq2a9cuGzBggGtirUugr776ysqWLWtZs2a1xo0b2759+4LunzJlirs/Y8aMdt1119nEiRMj7tu5c6db34cffuieX8u8++67MW7z3LlzXdW6S5cuVrJkSStfvry1a9fORo4cGbHM2rVrrWHDhnbNNddYWFiYW/ePP/4Y43pV0dd61QReJxZatGjhts9v6dKlVr16dcuSJYtbpnbt2m6/XClCNgAAAACkAIcPH3YBuVevXpYpU6ag+8LDw619+/Yu/H7yySdWqFAhGzFihAvQgSH61KlT9sILL9jbb79ty5cvt927d9sjjzwScb8Cs5qdKwBv3rzZRo0aZUOHDrWZM2cGPd9jjz1m/fr1c8s0atQoxu3WtqnCHlPA/ffff61Tp062cuVKt2ypUqWsadOm7vboqud63mzZstmKFSts1apVEScNzp49a+fPn3dN6BXWVTX/7rvvrHv37peccLgcNBcHAAAAgBRg27Zt5vP5XJU5Krr9yJEjduHCBUubNq0LoAq4kcPp5MmTrUSJEu56nz59XBj3U1/vF1980Vq3bu2uqzn6pk2b7PXXX3ch2E/Nv/3LxEbr1LLqJ65m7mrurgB91113WZo0/1cXrl+/ftBj3njjDVd9XrZsmd15552XrFMnEy5evOiq7v7gPH36dPcYVbCrVq1qx44dc4/1v9bo9lt8UckGAAAAgBREQftyZc6cOSJ0igZNO3DggPv95MmTbmAyNetWVdh/efbZZ93tgapWrRrn59RzqJL8yy+/uOq3qswK7Ko6KyjL33//bd26dXMVbDUXz549u504ccJV2qOyfv16+/33392JBP92qsn46dOn3bbq986dO7tqd7NmzeyVV165pFn85aKSDQAAAAApgPozq2qrJtqtWrW65H7dnjNnTsuTJ0+064g8QJnW5w/tCrX+kcBr1KgRtJwq44GyZMkS7+2vUKGCu6i5+4MPPmi33HKLq1TXq1fPhe5Dhw65MFykSBHLkCGDq3ir6XdUtK033nhjlP3B/a9fle2+ffu6UdhV+X7yySdt4cKFdtNNN9mVIGQDAAAAQAqg6bk0OJgGItOgZoH9svfv3+8CZ8eOHV1w1uBoajYeH/ny5bMCBQq4EczVvzshlStXLqJ6LupTrdelZuT+Qc00PVl0qlSp4oJz3rx5XdU7OpUrV3YXTRWm0P7ee+9dccimuTgAAAAApBCaa1pTYKkZtAYuUxhVpVbhu2DBghEjdqv/s+7XiOMxhdXIhg8fbqNHj3bTbW3dutU18VZFeNy4cZe9zT179rRnnnnGBWkNfqaBzXQyQBVnBV9RM3ENxqZq/Jo1a1zIjzy4WyDdr5HINaK4Bj7bsWOH64utyvXevXvddQVrNVPXc2o0dvVp96JfNiEbAAAAAFIIhdF169ZZ8eLF3fRV6l+tUbPV5FqB0j9HtgYz03RWuj+m5uORde3a1Q0mpmBdsWJFNzr3jBkz3ABol6tBgwYuWLdt29YNfNamTRs39dfixYtddV6mTp3qBm1ThbpDhw4uLKtKHVPfcp1E0BRmGlRN4Vl9ydUnW5Vt3f/bb7+559Jzah9p+rMePXrYlQrxXUmveCQ7x48fdwMFaCS9mJpNAAAAAKn1+6iCmCqdCo4Ke8DpeBwTVLIBAAAAAPAIIRsAAAAAkGCaNGkSNOVX4GXUqFEpbs8zujgAAAAAIMFMmTLF/vvvvyjv8/cRT0kI2QAAAACABFOwYMFUtXdpLg4AAAAAgEcI2QAAAAAQBSZiwuUcC4RsAAAAAAiQLl069/PUqVPsFwQdC/5jIyb0yQYAAACAAGnTprUcOXLYgQMH3PXMmTNbSEgI+yiVVrBPnTrljgUdEzo2YkPIBgAAAIBIwsPD3U9/0EbqliNHjohjIjaEbAAAAACIRJXr/PnzW968ee3cuXPsn1QsXbp0capg+xGyAQAAACAaClfxCVgAA58BAAAAAOARQjYAAAAAAB4hZAMAAAAA4BFCNgAAAAAAHiFkAwAAAADgEUI2AAAAAAAeYQqvVKpFWEcLDUmX2JsBIIEc6lGLfYs4CW1xMMXsqdU3zLLkLk341sTeBADAFaKSDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJAdi4MHD1rPnj2tcOHCliFDBgsPD7dGjRrZqlWrLKEVLVrUXn755QR/HgAAAACAN0I9Wk+K1aZNGzt79qzNnDnTihcvbn///bctXrzYDh06lGDPqedLnz59gq0fAAAAAJAwqGTH4OjRo7ZixQp7/vnnrV69elakSBGrXr26DRkyxJo3b+6WCQkJsUmTJlmTJk0sU6ZMLojPmjUraD2//PKL1a9f392fO3du6969u504cSLi/s6dO1vLli1t5MiRVqBAAStTpozVrVvXdu3aZQMGDHDPoYvotmbNmlnOnDktS5YsVr58eZs/f37CHB0AAAAAgHghZMcga9as7jJnzhw7c+ZMtMsNHTrUVbzXr19v7du3t3vvvdc2b97s7jt58qRrXq5QvHbtWvv4449t0aJF1qdPn6B1qDq+ZcsWW7hwoc2bN88+/fRTK1SokI0YMcL27dvnLtK7d2+3LcuXL3fhXScAtI0AAAAAgMRHc/GYdk5oqM2YMcO6detmkydPtipVqlidOnVciL7++usjlmvbtq117drV/f7MM8+4oPzqq6/axIkT7b333rPTp0/bW2+95SrPMmHCBFeNVkDOly+fu033TZkyJaiZeNq0aS1btmyuH7jf7t27XaCvWLGiu67KeUwUyANPEBw/fjy+xwgAAAAAII6oZMdCgfavv/6yuXPnWuPGjW3p0qUubCt8+9WsWTPoMbrur2TrZ6VKlSICttSuXdsuXrzoKtd+Cs1x6Yfdt29fe/bZZ906hg0bZhs2bIhx+dGjR1tYWFjE5dprr431OQAAAAAAl4eQHQcZM2a0hg0bumbh3377retDrYDrpcAQHhNVzP/44w/r0KGDay5etWpVVzWPjvqPHzt2LOKyZ88eD7caAAAAABCIkH0ZypUr5/pa+61evTrofl0vW7as+10/1Vc7cHlN/5UmTRo3wFlMVNm+cOHCJberGv3ggw+6ftsDBw60N998M9p1aNqx7NmzB10AAAAAAAmDkB0DTdOlUcHfeecd1yx7x44dbuCyMWPGWIsWLSKW023Tpk2zrVu3ugr3999/HzGwmQZCUyW8U6dOtnHjRluyZIk99NBDrhLt748d0zzZGuDszz//tH/++cfd1r9/f/vqq6/ctvz4449uff5ADwAAAABIXAx8FgON2l2jRg176aWXbPv27Xbu3DlXRdZAaI8//njEcsOHD7cPPvjAevXqZfnz57f333/fVbslc+bMLhT369fPqlWr5q6rn/e4ceNifXM0sniPHj2sRIkSbvAyn8/nKtsaYXzv3r2uKq1+4to+AAAAAEDiC/EpueHyd2BIiM2ePdvNc50caHRxDYBW11pYaEi6xN4cAAnkUI9a7FvESWiLgylmT62+YZYld2nCtyb2JgBX7fuoxguiKyNSIpqLAwAAAADgEUI2AAAAAAAeoU/2FaK1PQAAAADAj0o2AAAAAAAeIWQDAAAAAOARQjYAAAAAAB4hZAMAAAAA4BFCNgAAAAAAHiFkAwAAAADgEUI2AAAAAAAeIWQDAAAAAOARQjYAAAAAAB4hZAMAAAAA4BFCNgAAAAAAHiFkAwAAAADgEUI2AAAAAAAeIWQDAAAAAOARQjYAAAAAAB4hZAMAAAAA4JEQn8/n82plSPqOHz9uYWFhduzYMcuePXtibw4AAABSGb6PIqWjkg0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEdCvVoRkpcWYR0tNCRdYm8GkKIc6lErsTcBHgptcfCyHrf6hllJ8n1IE741sTcBAIBUgUo2AAAAAAAeIWQDAAAAAOARQjYAAAAAAB4hZAMAAAAA4BFCNgAAAAAAHiFkAwAAAACQFEL277//bl999ZX9999/7rrP5/NquwAAAAAASB0h+9ChQ9agQQMrXbq0NW3a1Pbt2+du79Kliw0cONDrbQQAAAAAIOWG7AEDBlhoaKjt3r3bMmfOHHH7PffcYwsWLPBy+wAAAAAASDZCL+dBX3/9tWsmXqhQoaDbS5UqZbt27fJq2wAAAAAASPmV7JMnTwZVsP0OHz5sGTJk8GK7AAAAAABIHSH7lltusbfeeiviekhIiF28eNHGjBlj9erV83L7AAAAAABI2c3FFaZvu+02W7dunZ09e9YGDx5sv/76q6tkr1q1yvutBAAAAAAgpVayK1SoYFu3brWbb77ZWrRo4ZqPt27d2n766ScrUaKE91sJAAAAAEBKrGSfO3fOGjdubJMnT7YnnngiYbYKAAAAAIDUUMlOly6dbdiwIWG2BgAAAACA1NZc/H//+59NnTrV+60BAAAAACC1DXx2/vx5mzZtmi1atMhuvPFGy5IlS9D948aN82r7AAAAAABI2SF748aNVqVKFfe7BkALpOm8AAAAAABIjS4rZC9ZssRSA50wmD17trVs2TKxNwUAAAAAkFL7ZKcUBw8etJ49e1rhwoUtQ4YMFh4ebo0aNbqqc30vXbrUhfmjR49etecEAAAAACShSrbmxX7uueds8eLFduDAAbt48WLQ/X/88YclB23atLGzZ8/azJkzrXjx4vb333+713To0CFLbnw+n124cMFCQy/rLQUAAAAAJFYlu2vXrm508VtuucX69Olj/fr1C7okB6ocr1ixwp5//nmrV6+eFSlSxKpXr25Dhgyx5s2bRyz3zz//WKtWrSxz5sxWqlQpmzt3btB6li1b5h6nSnj+/PntsccecwPD+Z05c8b69u1refPmtYwZM9rNN99sa9eudfft3LnTPbfkzJnTVbQ7d+7sruvExejRo61YsWKWKVMmq1Spks2aNeuSCviXX37pBp/T869cuTLB9xsAAAAAIHqXVfZUsPviiy+sdu3allxlzZrVXebMmWM33XSTC6lRGT58uI0ZM8bGjh1rr776qrVv39527dpluXLlsj///NOaNm3qgvFbb71lv/32m3Xr1s2F6aeffto9fvDgwfbJJ5+4armCvNalJum///67XXvtte4+VdS3bNli2bNnd4FaFLDfeecdmzx5sgv3y5cvd1On5cmTx+rUqROxfQr1L7zwgqvEK6gDAAAAAJJZJVthTiEzOVOz6hkzZrjwmyNHDnfC4PHHH7cNGzYELacA3a5dOytZsqSNGjXKTpw4Yd9//727b+LEiS4oT5gwwa677jo3QJpC+Ysvvugq0WpWP2nSJBfQmzRpYuXKlbM333zTBWm1BEibNm3EflSlW33Cw8LCXPVbz6Vp0hTIFaC1HQrZr7/+etD2jRgxwho2bGglSpSI8j3Ruo4fPx50AQAAAAAkoZD9zDPP2FNPPWWnTp2y5EwV5L/++ss1AW/cuLFrgq2pyRS+/a6//vqI3zUfuKrN6ocumzdvtpo1awZNW6awriC+d+9e2759u507dy6o4p8uXTrXvFyPjY6q3Nq3Cs/+irsuqpZrnYGqVq0a42tURVzB3X/RSQEAAAAAQBJqLq5KrcJevnz5rGjRoi44Bvrxxx8tuVDTboVZXYYOHer6mw8bNiyib3Tk16ZAHXmgN68ppIua5BcsWDDovsjN2hX8Y6I+5g8//HDEdVWyCdoAAAAAkIRCdkqeN1pNutVPOy7Kli3r+lRrZG9/NVvTf2XLls0KFSpkuXPntvTp07vb1B9bVNnWwGf9+/d313W/aGTwwG1QmN69e3dQ/+vLofVE198cAAAAAJAEQrYqvcmdpulq27atPfDAA65JuILxunXr3MBkLVq0iNM6evXqZS+//LI99NBDbpR1DV6mfaPKcZo0aVyVWfNwDxo0yPWX1nzcWr+agnfp0sWtQ+FbAX3evHluEDX119a2PPLIIzZgwABXNdeI5MeOHXNhXc3VO3XqlMB7BwAAAABwOUKvZAosTSmlZuP+EKlm4mpCHrmJc1KkPs41atSwl156KaLvtJpRa3RwDYAWF3qd8+fPd69fU2xpHyg8P/nkkxHLaD5xBeUOHTrYv//+6/pQf/XVVxEjgWsdGixNo4Tff//91rFjR9cnXP3eNZK4+lRr3nENzqb+4nHdNgAAAADA1RfiU1vneNII3A0aNHADaWmuZ1VwNQK2wqWaOGuALiRN6pOt962utbDQkOD+5gCuzKEetdiFKUhoi4OX9bjVN8yypChN+NbE3gQACPo+qpaaaqUJpDSXNbq4mkNrYLBt27a5gcP81NxZ8zkDAAAAAJAaXVbI1sBdPXr0uOR2NX3ev3+/F9sFAAAAAEDqCNkarVrNPCLbunWr60cMAAAAAEBqdFkhu3nz5jZixAg3WJhodGz1xX700UetTZs2Xm8jAAAAAAApN2S/+OKLduLECcubN6/9999/bi7nkiVLuhG7R44c6f1WAgAAAACQUqfw0miACxcudPM2r1+/3gVuTS+lEccBAAAAAEit4lXJVtV63rx5Edf1+++//+4GO9N80YMHD7bTp08nxHYCAAAAAJCyKtkzZ860L774wu688053fcKECVa+fHnLlCmTu/7bb79Z/vz5bcCAAQmztQAAAAAApJRK9rvvvmvdu3cPuu29996zJUuWuMvYsWPto48+8nobAQAAAABIeSFbTcMrVqwYcT1jxoyWJs3/v4rq1avbpk2bvN1CAAAAAABSYnPxo0eP2pkzZyKuHzx4MOj+ixcvBt0PAAAAAEBqEq9KdqFChWzjxo3R3r9hwwa3DAAAAAAAqVG8QnbTpk3tqaeeinIEcY08Pnz4cLvjjju83D4AAAAAAFJmc/HHH3/cDWxWpkwZ69Onj5UuXdrdvmXLFjfS+Pnz590yAAAAAACkRvEK2fny5bNvv/3WevbsaY899pj5fD53e0hIiDVs2NAmTpzolgEAAAAAIDWKV8iWYsWK2YIFC+zw4cNutHEpWbKk5cqVKyG2DwAAAACAlBuy/RSqNWUXAAAAAAC4jIHPAAAAAABA9AjZAAAAAAB4JMTnH70MqcLx48ctLCzMjh07ZtmzZ0/szQEAAEAqw/dRpHRUsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8EioVytC8tIirKOFhqRL7M1AAjrUoxb7NwqhLQ6yX+CsvmFWguyJNOFb2cMAAKRiVLIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPBIsg7ZS5cutZCQEDt69GiCPk/nzp2tZcuWnq6zaNGi9vLLL3u6TgAAAABAKg7ZCq8KybqkS5fOihUrZoMHD7bTp09f1e1Q4PVvR5YsWaxKlSr28ccfJ+hzrl271rp3756gzwEAAAAASGWV7MaNG9u+ffvsjz/+sJdeeslef/11GzZs2FXfjhEjRrjt+Omnn6xatWp2zz332Lfffptgz5cnTx7LnDlzgq0fAAAAAJAKQ3aGDBksPDzcrr32Wtcku0GDBrZw4UJ335kzZ6xv376WN29ey5gxo918882uAhyTlStX2i233GKZMmVy69TjT548Get2ZMuWzW1H6dKl7bXXXnOP//zzz6NcdsGCBW5bcuTIYblz57Y777zTtm/fHnF//fr1rU+fPkGPOXjwoKVPn94WL14cZXNxVdGnTJlirVq1cuG7VKlSNnfu3KB16Lpu176oV6+ezZw586o0lwcAAAAAJJOQHWjjxo2ueqwwKmo6/sknn7gw+eOPP1rJkiWtUaNGdvjw4Sgfr6CrynibNm1sw4YN9uGHH7rQHTnwxiY0NNQ1Xz979myU9yu0P/zww7Zu3ToXmtOkSePC8cWLF939Xbt2tffee8+dJPB75513rGDBgi6AR2f48OF29913u21v2rSptW/fPuK17tixw+666y53ImL9+vXWo0cPe+KJJ2J9LdqG48ePB10AAAAAACk0ZM+bN8+yZs3qqrMVK1a0AwcO2KBBg1yQnTRpko0dO9aaNGli5cqVszfffNNVmKdOnRrlukaPHu2Caf/+/V3Ft1atWjZ+/Hh766234tzPW8Fa6zl27Fi0gVghvnXr1i7033DDDTZt2jT75ZdfbNOmTe5+3SefffZZxGNmzJgR0Qc9Orq/Xbt2br2jRo2yEydO2Pfff+/uUzP6MmXKuP2hn/fee69bPjZ6LWFhYREXVfcBAAAAACk0ZKvZ888//2xr1qyxTp062f333+9CrKrS586ds9q1a0csq+py9erVbfPmzVGuSxVehVmFdv9FlW9VmFUJVnANvG/37t0Rj3300UfdbWqq/fzzz9tzzz1nd9xxR5TPs23bNheGixcvbtmzZ3dNv8W/Pp0w6NChgwvfoiq8qvSxheLrr78+4ncNwKZ166SDbNmyxfUVD6R9EZshQ4a4Ewb+y549e2J9DAAAAADg8oRaIlOYVOVWFEorVarkKtWRA2VcqPKrZtTqhx1Z4cKF7cEHH3TNsf0KFCgQ8buq5wrBCtr58uWLseLcrFkzK1KkiKusax0K8RUqVAhqXq4m46py792716ZPn+6q4npMTHQSIZC2wd8E/Ur6vOsCAAAAAEgFITuQ+jY//vjjrr/z77//7vpmr1q1KiKcqrKtgc/UHDwqmnpLTbb9oT2yXLlyuUtUrrnmmmgfF+jQoUOuqqyArQHWRP2+I1PT96pVq7rl1D97woQJdiXURHz+/PlBt8U2CBwAAAAAIJU1F4+sbdu2ljZtWtcfu2fPnq7CrNG8FZ67detmp06dsi5dukT5WDX51sBpGuhMTdDVrFv9ouM78FlMcubM6UYUf+ONN9yJgG+++cadFIiKqtlqdu7z+dzAaFdCFfrffvvNvcatW7faRx995JrGS0xVdwAAAABAKg7ZGtlboXjMmDE2cuRI1z9b/ZtVpVao/eqrr1zQja5P87Jly1wIVZW5cuXK9tRTTwU1C/ei2v7BBx/YDz/84JqIDxgwwA1GFhX129br0U/1074SxYoVs1mzZtmnn37qXqdOQvhHF6c5OAAAAAAkDSE+lVmRIHbu3GklSpRwzbp1ksBrOgkxefLkeA1mpim8NMp4XWthoSHBfcCRshzqUSuxNyFJCm1xMLE3AUnE6htmJch604RvTZD1AkBK4f8+qkF5NdAvkNIkqT7ZKYX6jqvv9pNPPmk33XSTZwF74sSJbkA4NVdXX3VV0L1sCg8AAAAAuDKE7ASgAKypyUqXLu2aeHtFfcyfffZZO3z4sBstfeDAgW6KLgAAAABA0kDITgB169Z1g5157aWXXnIXAAAAAEDSlOQGPgMAAAAAILkiZAMAAAAA4BFCNgAAAAAAHiFkAwAAAADgEUI2AAAAAAAeIWQDAAAAAOARQjYAAAAAAB4hZAMAAAAA4BFCNgAAAAAAHiFkAwAAAADgEUI2AAAAAAAeIWQDAAAAAOARQjYAAAAAAB4hZAMAAAAA4BFCNgAAAAAAHiFkAwAAAADgkRCfz+fzamVI+o4fP25hYWF27Ngxy549e2JvDgAAAFIZvo8ipaOSDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAELIBAAAAAEhaqGQDAAAAAOARQjYAAAAAAB4hZAMAAAAA4BFCNgAAAAAAHiFkAwAAAADgEUI2AAAAAAAeIWQDAAAAAOARQjYAAAAAAB4hZAMAAAAA4BFCNgAAAAAAHiFkAwAAAADgEUI2AAAAAAAeIWQDAAAAAOARQjYAAAAAAB4hZAMAAAAA4BFCNgAAAAAAHiFkAwAAAADgEUI2AAAAAAAeIWQDAAAAAOARQjYAAAAAAB4hZAMAAAAA4BFCNgAAAAAAHiFkAwAAAADgEUI2AAAAAACEbAAAAAAAkhYq2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHiEkA0AAAAAgEcI2QAAAAAAeISQDQAAAACARwjZAAAAAAB4hJANAAAAAIBHCNkAAAAAAHgk1KsVIXlpEdbRQkPSJfZmAEEO9ajFHomj0BYHk/W+Wn3DLE/XlyZ8q6frAwAAuFxUsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8EiqD9kzZsywHDlyeLIz58yZYyVLlrS0adNa//79PVknAAAAACD5SBUhu3PnzhYSEuIu6dOnd0F4xIgRdv78+ctaX9GiRe3ll1++5PYePXrYXXfdZXv27LFnnnnGgy0HAAAAACQnoZZKNG7c2KZPn25nzpyx+fPnW+/evS1dunSWP39+T9Z/4sQJO3DggDVq1MgKFChw2es5e/asOxEAAAAAAEh+UkUlWzJkyGDh4eFWpEgR69mzpzVo0MDmzp17yXLbt2+3Fi1aWL58+Sxr1qxWrVo1W7RoUcT9devWtV27dtmAAQMiquNLly61bNmyufvr168fcZt88sknVr58eff8qoC/+OKLQc+n21T17tixo2XPnt26d+8e0YR93rx5VqZMGcucObOrkJ86dcpmzpzpHpMzZ07r27evXbhwIcH3HQAAAAAgblJNyI4sU6ZMrmocVUW6adOmtnjxYvvpp59cBbxZs2a2e/dud/+nn35qhQoVcs3N9+3b5y61atWyLVu2RIRq/20//PCD3X333XbvvffaL7/8Yk8//bQNHTrUhehAL7zwglWqVMk9n+4XBerx48fbBx98YAsWLHChvVWrVq4Kr8vbb79tr7/+us2aNSvG16nK/fHjx4MuAAAAAICEkWqai/v5fD4XoL/66it76KGHLrlfYVcXP1WZZ8+e7areffr0sVy5crmBzVS5VmXcL2/evO6n7vffPm7cOLvtttsignPp0qVt06ZNNnbsWNdP3E/V74EDB0ZcX7FihZ07d84mTZpkJUqUcLepkq1g/ffff7sKe7ly5axevXq2ZMkSu+eee6J9vaNHj7bhw4df4V4DAAAAAMRFqqlkq+m1wmnGjBmtSZMmLpiqshxVJfuRRx6xsmXLuibbeszmzZsjKtnxocfVrl076DZd37ZtW1Az76pVq17yWDUR9wdsUfN1NRPX9gTepn7gMRkyZIgdO3Ys4qJB2QAAAAAACSPVVLJV9VVlWIOKaWCy0NCoX7oC9sKFC10Tbo1CrmblqiJH1bTcK1myZLnkNg3KFkj9vKO67eLFizGuW33BdQEAAAAAJLxUE7IVZBWaY7Nq1SrXlFv9n/2V7Z07dwYto6AelwHHVA3X+iKvX83G1eQcAAAAAJCypJrm4nFVqlQpN7jZzz//bOvXr7f77rvvkmqxmm0vX77c/vzzT/vnn3+iXZf6Wav/t/p1b9261Y0MPmHCBFctBwAAAACkPITsSDRYmabH0ujgGlVc815XqVIlaBmNLK7qtvpM58mTJ9qdq8d99NFHboTwChUq2FNPPeUeGzjoGQAAAAAg5QjxabhtpBqawissLMzqWgsLDQnu4w0ktkM9aiX2JiQboS0OWnK2+oaYpx+MrzThWz1dHwAg4b+PalDe7Nmzs6uR4lDJBgAAAADAI4RsAAAAAAA8QsgGAAAAAMAjhGwAAAAAADxCyAYAAAAAwCOEbAAAAAAAPELIBgAAAADAI4RsAAAAAAA8QsgGAAAAAMAjhGwAAAAAADxCyAYAAAAAwCOEbAAAAAAAPELIBgAAAADAI4RsAAAAAAA8QsgGAAAAAMAjhGwAAAAAADxCyAYAAAAAwCOEbAAAAAAAPELIBgAAAADAIyE+n8/n1cqQ9B0/ftzCwsLs2LFjlj179sTeHAAAAKQyfB9FSkclGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAAAAAAI+EerUiJA8+n8/9PH78eGJvCgAAAFIh//dQ//dSIKUhZKcyhw4dcj+vvfbaxN4UAAAApGL//vuvhYWFJfZmAJ4jZKcyuXLlcj93797Nh9pVPFurkxp79uyx7NmzX62nTfXY71cf+zxxsN/Z56kFx3rK2eeqYCtgFyhQwLN1AkkJITuVSZPm/7rh66whge/q0v5mn1997Hf2eWrBsc4+Ty041lPGPqeCjZSMgc8AAAAAAPAIIRsAAAAAAI8QslOZDBky2LBhw9xPsM9TMo519nlqwbHOPk8tONbZ50ByEeJj7HwAAAAAADxBJRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyU5HXXnvNihYtahkzZrQaNWrY999/n9iblGyNHj3aqlWrZtmyZbO8efNay5YtbcuWLUHL1K1b10JCQoIuDz74YNAyu3fvtjvuuMMyZ87s1jNo0CA7f/78VX41ycfTTz99yT697rrrIu4/ffq09e7d23Lnzm1Zs2a1Nm3a2N9//x20DvZ5/OgzI/I+10X7WTjOvbF8+XJr1qyZFShQwO3fOXPmBN2v4VOeeuopy58/v2XKlMkaNGhg27ZtC1rm8OHD1r59ezeXbY4cOaxLly524sSJoGU2bNhgt9xyi/t/4Nprr7UxY8ZYahXTPj937pw9+uijVrFiRcuSJYtbpmPHjvbXX3/F+vfx3HPPBS3DPo/7fpfOnTtfsk8bN24ctAzHunfHukT1Ga/L2LFjOdaBy0TITiU+/PBDe/jhh93I4j/++KNVqlTJGjVqZAcOHEjsTUuWli1b5kLG6tWrbeHChe4L2e23324nT54MWq5bt262b9++iEvgF9oLFy64gH327Fn79ttvbebMmTZjxgz3RRrRK1++fNA+XblyZcR9AwYMsM8//9w+/vhj9x7pC3Hr1q3Z51dg7dq1Qftbx7u0bduW49xD+uzQ57JOhkZFnx3jx4+3yZMn25o1a1zw02e4Tiz5KWD/+uuv7j2aN2+e+2LdvXv3iPuPHz/uPqeKFCliP/zwg/sCrRNXb7zxhqVGMe3zU6dOuf8rhw4d6n5++umn7kRq8+bNL1l2xIgRQX8jDz30UMR97PP47Xc/herAffr+++8H3c+x7t2xLoH7Wpdp06a5kK0T1RzrwGXS6OJI+apXr+7r3bt3xPULFy74ChQo4Bs9enSibldKceDAAZ/+nJYtWxZxW506dXz9+vWL9jHz58/3pUmTxrd///6I2yZNmuTLnj2778yZMwm+zcnRsGHDfJUqVYryvqNHj/rSpUvn+/jjjyNu27x5s3tfvvvuO3edfX7ldEyXKFHCd/HiRXed49x7OmZnz54dcV37Ojw83Dd27Nig4z1Dhgy+999/313ftGmTe9zatWsjlvnyyy99ISEhvj///NNdnzhxoi9nzpxBny+PPvqor0yZMr7ULvI+j8r333/vltu1a1fEbUWKFPG99NJL0T6GfR7//d6pUydfixYton0Mx3rCH+va//Xr1w+6jWMdiB8q2amAKqWqWqh5oV+aNGnc9e+++y5Rty2lOHbsmPuZK1euoNvfffddu+aaa6xChQo2ZMgQVx3x075XU8R8+fJF3KbKlCofqkYhamoiqyZvxYsXd9UMNf8WHeNqURB4nKspeeHChSOOc/b5lX+WvPPOO/bAAw+4KgfH+dWxY8cO279/f9CxHRYW5rr9BB7baiJetWrViGW0vD7rVfn2L3Prrbda+vTpgz5zVKE9cuTIVXo1yftzXse99nMgNQ9XF5XKlSu71gGBXX7Y55dn6dKlrgtVmTJlrGfPnnbo0KGgfcqxnnDUxeqLL75w3U0i41gH4i40Hssimfrnn39c0+TAMCe6/ttvvyXadqUUFy9etP79+1vt2rVdmPa77777XLNMBUL1yVP/Pn2ZVbND0ZfmqN4T/324lEKFmtTri5eatA0fPtz1L924caPbZwoPkb8Aa5/69yf7/MqoH9/Ro0ddn0mO86vHf/xG9XkReGwrlAQKDQ11J/4ClylWrNgl6/DflzNnzgR9HcmZmuXrM7xdu3auz7tf3759rUqVKm4/q9uPTqbqs2ncuHHufvZ5/KmpuLr56Fjdvn27Pf7449akSRMXrtOmTcuxnsDUdU3jzQR2tRKOdSB+CNnAFVLfbIW8wL7BEtgXUhVrDVh02223uS8NJUqUYL9fBn3R8rv++utd6NaJjI8++sgNBoWENXXqVPce6MSRH8c5Ujq1kLn77rvd4HOTJk0Kuk9jnQR+JulEX48ePdzgmBkyZEiErU3+7r333qD/O7Vf9X+mqtv6PxQJS/2x1UpMgyMG4lgH4ofm4qmAmivr7G/kUZZ1PTw8PNG2KyXo06ePG2BoyZIlVqhQoRiXVSCU33//3f3Uvo/qPfHfh9ipal26dGm3T7XP1JxZldbI+9S/P9nnl2/Xrl22aNEi69q1a4zLcZx7z3/8xvQZrp+RB7JUs2WNwszxf+UBW8e/BpQLrGJHd/xrv+/cuTPifeFz/sqoa5C+xwT+38mxnjBWrFjhWtzF9jkvHOtAzAjZqYDOrN944422ePHioCbOul6zZs1E3bbkShUNBezZs2fbN998c0kTzKj8/PPP7qcq2qJ9/8svvwR9WfB/iStXrlwCbn3KoemJ1DJA+1THeLp06YKOc31ZUJ9t/3HOPr9806dPd82RNSJ+TDjOvafPFwWLwGNbYzeor3Xgsa0TTBqbwE+fTfqs95/40DIacVzBMfAzR90vaCoefcDWOBA6waR+17HR8a9+8P6m++zzK7d3717XJzvw/06O9YRrraT/SzUSeWw41oFYxHOgNCRTH3zwgRuJdsaMGW5kzu7du/ty5MgRNLI14q5nz56+sLAw39KlS3379u2LuJw6dcrd//vvv/tGjBjhW7dunW/Hjh2+zz77zFe8eHHfrbfeGrGO8+fP+ypUqOC7/fbbfT///LNvwYIFvjx58viGDBnCWxGNgQMHun2ufbpq1SpfgwYNfNdcc40b3V0efPBBX+HChX3ffPON2/c1a9Z0F/b5ldFsBNqvGok6EMe5d/7991/fTz/95C76r3ncuHHud/9I1s8995z7zNZnyYYNG9zov8WKFfP9999/Eeto3Lixr3Llyr41a9b4Vq5c6StVqpSvXbt2QSOS58uXz9ehQwffxo0b3f8LmTNn9r3++uu+1CimfX727Flf8+bNfYUKFXKfz4Gf8/7R2b/99ls3srju3759u++dd95xn+EdO3aMeA72efz2u+575JFH3IwQ+pxftGiRr0qVKu5YPn36dMQ6ONa9O9b9jh075j4PNMtJZBzrQPwRslORV1991X1RTp8+vZvSa/Xq1Ym9ScmW/pOK6jJ9+nR3/+7du12gzpUrlzu5UbJkSd+gQYPcf2KBdu7c6WvSpIkvU6ZMLiwqRJ47dy6RXlXSd8899/jy58/vjuGCBQu66wp6fgocvXr1ctMU6ctCq1at3JfiQOzz+Pvqq6/c8b1ly5ag2znOvbNkyZIoP1M0nZF/Gq+hQ4e6kKzPlNtuu+2S9+PQoUMuVGfNmtVNBXj//fe7L9eB1q9f77v55pvdOvQ3pPCeWsW0zxXwovuc1+Pkhx9+8NWoUcOdcM2YMaOvbNmyvlGjRgWFQWGfx32/60S1TjzrZIWmZNS0Ud26dbukIMCx7t2x7qeTbfouohNDkXGsA/EXon9iq3YDAAAAAIDY0ScbAAAAAACPELIBAAAAAPAIIRsAAAAAAI8QsgEAAAAA8AghGwAAAAAAjxCyAQAAAADwCCEbAAAAAACPELIBAAAAAPAIIRsAkKSEhITYnDlzEvQ5ZsyYYTly5LCEduutt9p7773nyb7YuXOnu/7zzz+760uXLnXXjx49elVfk98///xjefPmtb1791615wQAIDkgZAMAoqQAF9Pl6aefjnbPRQ6EXjp48KD17NnTChcubBkyZLDw8HBr1KiRrVq1Kkm9k3PnzrW///7b7r333ojbihYt6vbLBx98cMny5cuXd/cpLPvt27fPmjRpEqfnu+eee2zr1q12tVxzzTXWsWNHGzZs2FV7TgAAkoPQxN4AAEDSpIDn9+GHH9pTTz1lW7Zsibgta9asibJdbdq0sbNnz9rMmTOtePHiLsguXrzYDh06ZEnJ+PHj7f7777c0aYLPZ1977bU2ffr0oPC9evVq279/v2XJkiVoWZ1AiKtMmTK5y9Wk13fjjTfa2LFjLVeuXFf1uQEASKqoZAMAoqSA57+EhYW5Kqv/upoJjxs3zgoVKuSqyTfccIMtWLAg4rHFihVzPytXruweV7duXXd97dq11rBhQ1cF1Trr1KljP/74Y5zfATWNXrFihT3//PNWr149K1KkiFWvXt2GDBlizZs3j1hO21axYkUXWhVqe/XqZSdOnIhx3Z999plVqVLFMmbM6ML78OHD7fz58+4+n8/nKvf+6nmBAgWsb9++MVbbv/nmG2vWrNkl97Vv396WLVtme/bsibht2rRp7vbQ0NDLbjofVXPxSZMmWYkSJSx9+vRWpkwZe/vtty9Z/5QpU6xVq1aWOXNmK1WqlKvA+x05csRtV548eVyA1/06QRBYfde+mD17dpy2EQCA1ICQDQCIt1deecVefPFFe+GFF2zDhg2uubZC7rZt29z933//vfu5aNEiVxH/9NNP3fV///3XOnXqZCtXrnTVW4W2pk2butvjQtVzXRQ8z5w5E/1/bmnSuEryr7/+6ireCryDBw+OdnkFdzV97tevn23atMlef/11F1pHjhzp7v/kk0/spZdecrfrNer5FeKjo9en0Fq2bNlL7suXL5/bX9ouOXXqlGsp8MADD5iXFHz1egYOHGgbN260Hj16uMrzkiVLgpbTyYS7777bvY96LxSqDx8+7O4bOnSo2x9ffvmlbd682YV2nSAJpJMc2n8AAOD/8QEAEIvp06f7wsLCIq4XKFDAN3LkyKBlqlWr5uvVq5f7fceOHT79F/PTTz/FuN4LFy74smXL5vv8888jbtPjZs+eHe1jZs2a5cuZM6cvY8aMvlq1avmGDBniW79+fYzP8/HHH/ty584d7eu57bbbfKNGjQp6zNtvv+3Lnz+/+/3FF1/0lS5d2nf27FlfXLz00ku+4sWLX3J7kSJF3H1z5szxlShRwnfx4kXfzJkzfZUrV3b3a5u0bVHti8j7dMmSJe76kSNHonxN2jfdunULev62bdv6mjZtGrT+J598MuL6iRMn3G1ffvmlu96sWTPf/fffH+NrHTBggK9u3bpx2i8AAKQGVLIBAPFy/Phx++uvv6x27dpBt+u6qp0xUf/pbt26uQq2motnz57dNePevXt3vPpk6/nVrLlx48ZulG018w4cMEwV9Ntuu80KFixo2bJlsw4dOrg+26oaR2X9+vU2YsSIiEq5LtpOVeH1mLZt29p///3nmpHrdlWJ/U3Jo6Jl1ew8OnfccYd73cuXL3dNxb2uYovei7i8R9dff33E72per/fkwIED7roGmNMgbeoOoJYA33777SXPo2bk0e1XAABSI0I2AOCqUVNxjTiu5uYKbPo9d+7cbiCz+FCAVd9uNWfWejp37hwxyrVGNr/zzjtdeFQz7x9++MFee+01d190z6PAq2bT2h7/5ZdffnFNw/Vc6tetQd8mTpzoQqX6eGt6rnPnzkW5PjWpVn/m6KjvtYK/tnnNmjWuiXZiSZcu3SX9tC9evOh+18jmu3btsgEDBrgTGzpx8cgjjwQtr6bl6rMNAAD+DyEbABAvqnRqsKvIU2bperly5dzvGmhLLly4cMkyGjBMfX81aJYGEdN8y1dKz3vy5En3u0K1QqL6jN90001WunRpFxBjokq4QnTJkiUvufhHB1e41kBm6uut6vl3333ngnhUNOCbRguPKWireq0B0Fq0aGE5c+Y0r6k/eEzvUVwpQOvkyDvvvGMvv/yyvfHGG0H3q7+3Xi8AAPg/TOEFAIi3QYMGuSqsRq5WU2KNOK3q77vvvuvu1+jjCqUacVwjkKsarObhaiauEa6rVq3qmp1rPfGZdkpNvtV0WwFVlWo1BV+3bp2NGTPGhVVRMFaF+dVXX3WhWMFy8uTJMa5X05Op+q3Rw++66y4XrNWEXAHy2WefdU3RdcKgRo0abkAzBU5tt0Y3j4pCp6rZem6tN7oQrBMMWl9C0L7VgGbalgYNGtjnn3/uBqBTU/q40n7RFF06IaKB5ubNmxc0mJuaieukxqhRoxLkNQAAkBxRyQYAxJuq0Q8//LAbuVqjbCtMq4+0QrS/ObQqvhqNW1VvfwCeOnWqq+6qcqzm0lqPAnlcqa+0gq5G+lZz7QoVKrgm4+onPWHCBLdMpUqV3BRemuZL9yv4jx49Osb1arRvBcivv/7aqlWr5irgeg5/iNbUWG+++abr06xwr6Cq0Kqm7lFJmzatG8nbf9IhOnp8Qs1t3bJlS9csXyPAKyTrvdDJEP90anGhFgmaHk2vWftbr0t9tAOnPdOJiVtuuSVBXgMAAMlRiEY/S+yNAAAgpVFzcYVbzQMeXcU7udPJCJ0oue+++xJ7UwAASDKoZAMAkADCw8Nd5T4+I6cnJ2rq3rp1a2vXrl1ibwoAAEkKlWwAAAAAADxCJRsAAAAAAI8QsgEAAAAAIGQDAAAAAJC0UMkGAAAAAMAjhGwAAAAAADxCyAYAAAAAwCOEbAAAAAAAPELIBgAAAADAI4RsAAAAAAA8QsgGAAAAAMC88f8B3S/BKg1k12QAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_5_genres = df_eda.groupby('Genre')['Global_Sales'].sum().sort_values(ascending=False).head(5).index\n",
    "\n",
    "df_genre_region = df_eda[df_eda['Genre'].isin(top_5_genres)]\n",
    "genre_comparison = df_genre_region.groupby('Genre')[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Other_Sales']].sum()\n",
    "\n",
    "genre_comparison['Total'] = genre_comparison.sum(axis=1)\n",
    "genre_comparison = genre_comparison.sort_values('Total', ascending=True).drop(columns='Total')\n",
    "\n",
    "genre_comparison.plot(kind='barh', stacked=True, figsize=(10, 6), cmap='viridis')\n",
    "plt.title('Regional Sales Breakdown for Top 5 Genres')\n",
    "plt.xlabel('Total Sales (Millions)')\n",
    "plt.ylabel('Genre')\n",
    "plt.legend(title='Region', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a44e78a",
   "metadata": {},
   "source": [
    "Dari grafik di atas, kita bisa melihat bahwa pasar Amerika Utara (NA) mendominasi penjualan di hampir semua Top 5 Genre, terutama pada genre Action dan Shooter. karena itu, genre Role-Playing memiliki proporsi penjualan Jepang (JP) yang jauh lebih tebal dibandingkan genre lainnya, menunjukkan preferensi kuat pasar Jepang terhadap game RPG."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b151f13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Platform\n",
       "PS2     1233.46\n",
       "X360     969.61\n",
       "PS3      949.35\n",
       "Wii      909.81\n",
       "DS       818.96\n",
       "PS       727.39\n",
       "GBA      313.56\n",
       "PSP      291.71\n",
       "PS4      278.10\n",
       "PC       255.05\n",
       "Name: Global_Sales, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda.groupby('Platform')['Global_Sales'].sum().sort_values(ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "74015bd1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "platform_sales = df_eda.groupby('Platform')['Global_Sales'].sum().sort_values(ascending=False).head(10)\n",
    "\n",
    "platform_sales.plot(kind='bar')\n",
    "plt.title('Top 10 Platforms by Global Sales')\n",
    "plt.xlabel('Platform')\n",
    "plt.ylabel('Sales (Million)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03968356",
   "metadata": {},
   "source": [
    "Interpretasi:\n",
    "\n",
    "Dari hasil yang didapat diatas, dapat kita ketahui bahwa PS2 jadi yang paling laku sepanjang masa.\n",
    "\n",
    "Selain itu, terlihat juga bahwa Platform baru belum tuntu unggul, seperti yang dilihat, PS4 lebih rendah dari PS2 dan PS3, yang dimana kemungkinan besarnya adalah antara Datasetnya belum mencakup tahun terbaru sepenuhnya atau waktu rilis lebih baru membuat data belum akumulatif."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36eee34d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Year\n",
       "2008    678.90\n",
       "2009    667.30\n",
       "2007    611.13\n",
       "2010    600.45\n",
       "2006    521.04\n",
       "2011    515.99\n",
       "2005    459.94\n",
       "2004    419.31\n",
       "2002    395.52\n",
       "2013    368.11\n",
       "Name: Global_Sales, dtype: float64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda.groupby('Year')['Global_Sales'].sum().sort_values(ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5095554c",
   "metadata": {},
   "source": [
    "#JP Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d48577b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Platform\n",
      "DS      175.02\n",
      "PS      139.78\n",
      "PS2     137.54\n",
      "SNES    116.55\n",
      "NES      98.65\n",
      "3DS      97.30\n",
      "GB       85.12\n",
      "PS3      79.21\n",
      "PSP      75.89\n",
      "Wii      68.28\n",
      "Name: JP_Sales, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "platform_jp = df.groupby('Platform')['JP_Sales'].sum().sort_values(ascending=False)\n",
    "\n",
    "print(platform_jp.head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d071f0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Genre\n",
      "Role-Playing    350.29\n",
      "Action          158.66\n",
      "Sports          134.76\n",
      "Platform        130.65\n",
      "Misc            106.67\n",
      "Fighting         87.15\n",
      "Simulation       63.54\n",
      "Puzzle           56.68\n",
      "Racing           56.61\n",
      "Adventure        52.01\n",
      "Strategy         49.10\n",
      "Shooter          38.18\n",
      "Name: JP_Sales, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "jp_genre = (\n",
    "    df_eda.groupby('Genre')['JP_Sales']\n",
    "    .sum()\n",
    "    .sort_values(ascending=False)\n",
    ")\n",
    "\n",
    "print(jp_genre)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8cb217ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "jp_genre.plot(kind='bar')\n",
    "\n",
    "plt.title('Total Japan Sales by Genre')\n",
    "plt.xlabel('Genre')\n",
    "plt.ylabel('JP Sales (Million)')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c2c59137",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_jp_platforms = (\n",
    "    df_eda.groupby('Platform')['JP_Sales']\n",
    "    .sum()\n",
    "    .nlargest(10)\n",
    "    .index\n",
    ")\n",
    "\n",
    "platform_genre_jp = pd.pivot_table(\n",
    "    df_eda[df_eda['Platform'].isin(top_jp_platforms)],\n",
    "    values='JP_Sales',\n",
    "    index='Platform',\n",
    "    columns='Genre',\n",
    "    aggfunc='sum',\n",
    "    fill_value=0\n",
    ")\n",
    "\n",
    "plt.figure(figsize=(14,7))\n",
    "sns.heatmap(\n",
    "    platform_genre_jp,\n",
    "    annot=True,\n",
    "    fmt='.0f',\n",
    "    cmap='YlOrRd'\n",
    ")\n",
    "\n",
    "plt.title('Top Japan Platforms vs Genre (JP Sales)')\n",
    "plt.xlabel('Genre')\n",
    "plt.ylabel('Platform')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd40a9a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Platform\n",
       "DS      54.29\n",
       "PS      40.95\n",
       "3DS     39.58\n",
       "GB      34.55\n",
       "SNES    33.76\n",
       "PS2     32.85\n",
       "PSP     30.78\n",
       "GBA     21.21\n",
       "PS3     16.76\n",
       "NES     16.11\n",
       "PSV      7.47\n",
       "Wii      5.63\n",
       "SAT      3.76\n",
       "PS4      3.23\n",
       "X360     2.61\n",
       "GC       2.36\n",
       "WS       1.22\n",
       "N64      1.21\n",
       "WiiU     0.83\n",
       "DC       0.68\n",
       "GEN      0.27\n",
       "XB       0.08\n",
       "SCD      0.06\n",
       "PCFX     0.03\n",
       "XOne     0.01\n",
       "PC       0.00\n",
       "Name: JP_Sales, dtype: float64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rpg_platform = df[df['Genre']=='Role-Playing']\n",
    "\n",
    "rpg_platform.groupby('Platform')['JP_Sales'].sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d5286528",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genre_platform = pd.pivot_table(\n",
    "    df,\n",
    "    values='Global_Sales',\n",
    "    index='Platform',\n",
    "    columns='Genre',\n",
    "    aggfunc='sum',\n",
    "    fill_value=0\n",
    ")\n",
    "\n",
    "plt.figure(figsize=(14,8))\n",
    "sns.heatmap(\n",
    "    genre_platform,\n",
    "    cmap='YlOrRd'\n",
    ")\n",
    "\n",
    "plt.title('Platform vs Genre (Global Sales)')\n",
    "plt.xlabel('Genre')\n",
    "plt.ylabel('Platform')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b97278ec",
   "metadata": {},
   "source": [
    "#Market"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38c31ee5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_eda[['NA_Sales','EU_Sales','JP_Sales','Other_Sales']].mean().plot(kind='bar')\n",
    "plt.title('Average Sales by Region')\n",
    "plt.ylabel('Average Sales')\n",
    "plt.xlabel(\"Region\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6c90845",
   "metadata": {},
   "source": [
    "America > EU > JP > Others"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9c3735fa",
   "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>Name</th>\n",
       "      <th>Global_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>82.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Super Mario Bros.</td>\n",
       "      <td>40.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>35.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>33.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pokemon Red/Pokemon Blue</td>\n",
       "      <td>31.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tetris</td>\n",
       "      <td>30.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Super Mario Bros.</td>\n",
       "      <td>30.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Wii Play</td>\n",
       "      <td>29.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>New Super Mario Bros. Wii</td>\n",
       "      <td>28.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Duck Hunt</td>\n",
       "      <td>28.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Nintendogs</td>\n",
       "      <td>24.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Mario Kart DS</td>\n",
       "      <td>23.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Pokemon Gold/Pokemon Silver</td>\n",
       "      <td>23.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Wii Fit</td>\n",
       "      <td>22.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Wii Fit Plus</td>\n",
       "      <td>22.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Kinect Adventures!</td>\n",
       "      <td>21.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Grand Theft Auto V</td>\n",
       "      <td>21.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Grand Theft Auto: San Andreas</td>\n",
       "      <td>20.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Super Mario World</td>\n",
       "      <td>20.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Brain Age: Train Your Brain in Minutes a Day</td>\n",
       "      <td>20.22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Name  Global_Sales\n",
       "0                                     Wii Sports         82.74\n",
       "1                              Super Mario Bros.         40.24\n",
       "2                                 Mario Kart Wii         35.82\n",
       "3                              Wii Sports Resort         33.00\n",
       "4                       Pokemon Red/Pokemon Blue         31.37\n",
       "5                                         Tetris         30.26\n",
       "6                          New Super Mario Bros.         30.01\n",
       "7                                       Wii Play         29.02\n",
       "8                      New Super Mario Bros. Wii         28.62\n",
       "9                                      Duck Hunt         28.31\n",
       "10                                    Nintendogs         24.76\n",
       "11                                 Mario Kart DS         23.42\n",
       "12                   Pokemon Gold/Pokemon Silver         23.10\n",
       "13                                       Wii Fit         22.72\n",
       "14                                  Wii Fit Plus         22.00\n",
       "15                            Kinect Adventures!         21.82\n",
       "16                            Grand Theft Auto V         21.40\n",
       "17                 Grand Theft Auto: San Andreas         20.81\n",
       "18                             Super Mario World         20.61\n",
       "19  Brain Age: Train Your Brain in Minutes a Day         20.22"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sorted = df_eda.sort_values('Global_Sales', ascending=False)\n",
    "\n",
    "df_sorted[['Name','Global_Sales']].head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69cbc220",
   "metadata": {},
   "source": [
    "#Epitesmic Testing\n",
    "\n",
    "Memvalidasi insight EDA bahwa NA Sales memiliki hubungan paling kuat terhadap Global Sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98d597b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.show(close=None, block=None)>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(df_eda[['NA_Sales','EU_Sales','JP_Sales','Other_Sales','Global_Sales']].corr(),\n",
    "            annot=True, cmap='coolwarm')\n",
    "\n",
    "plt.title('Correlation Matrix')\n",
    "plt.show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "069093bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Global_Sales    1.000000\n",
       "NA_Sales        0.941268\n",
       "EU_Sales        0.903271\n",
       "Other_Sales     0.747974\n",
       "JP_Sales        0.612794\n",
       "Name: Global_Sales, dtype: float64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda[['NA_Sales','EU_Sales','JP_Sales','Other_Sales','Global_Sales']].corr()['Global_Sales'].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa30a1e3",
   "metadata": {},
   "source": [
    "NA_Sales merupakan market yang paling crucial, memberikan score 0.94, jika game itu sukses di NA, sudah pasti akan sukses secara Global.\n",
    "\n",
    "EU_Sales sangat dekat dengan NA_Sales, score marketnya yaitu 0.77, dan EU juga mempunyai impact besar ke global sales dengan score 0.90\n",
    "\n",
    "JP_Sales punya market yang berbeda, Score JP sangat rendah dibanding region lainnya (hanya 0.45 dengan NA dan 0.44 dengan EU), artinya game blockbuster di barat belum tentu sukses di Jepang. Sebaliknya, game yang popular di jepang juga belum tentu juga di inginkan market yang lain.\n",
    "\n",
    "Other_Sales lebih mirip ke EU, Sales trend Other regions biasa menunjukkan South America, Asia Tenggara, dan lain-lain. Dan mereka menunjukkan market yang mirip dengan EU_Sales (0.73) dibandingkan NA_Sales (0.63) atau Jepang dengan score rendah (0.29)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6716ee64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NA_Sales       0.941268\n",
      "EU_Sales       0.903271\n",
      "Other_Sales    0.747974\n",
      "JP_Sales       0.612794\n",
      "Name: Global_Sales, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "corr_with_global = df_eda[\n",
    "    ['NA_Sales', 'EU_Sales', 'JP_Sales', 'Other_Sales', 'Global_Sales']\n",
    "].corr()['Global_Sales'].drop('Global_Sales').sort_values(ascending=False)\n",
    "\n",
    "plt.figure(figsize=(8,5))\n",
    "corr_with_global.plot(kind='bar')\n",
    "\n",
    "plt.title('Correlation of Regional Sales with Global Sales')\n",
    "plt.xlabel('Regional Sales Variable')\n",
    "plt.ylabel('Correlation with Global Sales')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n",
    "\n",
    "print(corr_with_global)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be162302",
   "metadata": {},
   "source": [
    "#Distribusi Penjualan game terhadap Global Sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5020ee28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_eda['Global_Sales'].hist(bins=60)\n",
    "plt.title('Global Sales Distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad45a7ea",
   "metadata": {},
   "source": [
    "Highly Right-Skewed distributon (long tail)\n",
    "\n",
    "seperti yang sudah di interpretasi sebelumnya, ribuan game cuman jual sedikit, hanya ada beberapa game yang super hit,\n",
    "\n",
    "Ada yang menarik mean jadi tinggi.\n",
    "\n",
    "dan Data ini tidak normal karena bentuknya menjepit kiri dan ekor panjang kanan."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2ec3f0c",
   "metadata": {},
   "source": [
    "#Trends"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2215cb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_sales = df_eda[df_eda['Year'] <= 2015] \\\n",
    "                .groupby('Year')['Global_Sales'] \\\n",
    "                .sum()\n",
    "\n",
    "year_sales.plot()\n",
    "plt.title('Global Sales over time')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Sales (Million)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8aecd414",
   "metadata": {},
   "source": [
    "Interpretasi:\n",
    "\n",
    "Penjualan meningkat dari awal tahun dan mencapai puncak sekitar tahun 2007 - 2009, setelah itu penurunan terjadi secara bertahap. Pada saat penurunan terlihat ada trend naik lalu turun lagi di sekitar tahun 2012 - 2014.\n",
    "\n",
    "Ada fase growth, peak, dan decline dan peaknya di sekitar tahun 2008. Setelah itu industri mulai berubah."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0e421d3",
   "metadata": {},
   "source": [
    "Kesimpulannya, dari data analisis kita, dapat terlihat pattern yang jelas di video game market. Action Games mendominasi penjualan global, sedangkan platform console seperti PS2 dan XBox masih memiliki penjualan terbanyak di indsustri. Kemudian, dapat dilihat bahwa trend sales berpuncak di sekitar tahun 2008 yang kemudian diikuti dengan turun secara perlahan.\n",
    "\n",
    "Penemuan ini memberi tau apa yang para konsumer inginkan, dari popularitas platform, dan evolusi industri yang mempengaruhi global video game sales."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f086ef58",
   "metadata": {},
   "source": [
    "#Comparison Analysis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e20d1c09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3bn3FtmTqhx9+cDRu3NhRsGBBR7Fixcy+r9shre2jrdTc6WvpfH1tAN4XoP/xd+gGgJxOOzvo6KSOXGrrKmSddqLQC4PoiGrq7gX+pnXH+guElkakVUIDIHeihhcAUtGfp1PTEgMtEdCT7JB1OsYyZ84c0yvZ32FXT/xLPeYzf/58U4rifmlhALkfNbwAkIr2pI2LizNn72tbMG1xpZPWf6ZugYaM0RMLtb5ba4f//PNP+fLLL/2+6dauXWtGmvXy0loPrbXXGsa1xljnAbAPShoAIBW90pue5b9lyxbTSUBHIvXEOW2X5n5VLmScli9oqzC9opu2PdN2Zzlhnfr27SuxsbFmVFdPHNQT4PRkRO1SAcA+CLwAAACwNWp4AQAAYGsEXgAAANgaxWjptKXRxu/arDyrlzEFAACA92iXFb1wjl4VUrvoXAmBNw0adjkTGwAAIOfbu3evuVrklRB406Aju84NqJfeBAAAQM6SkJBgBiidue1KCLxpcJYxaNgl8AIAAORcGSk/5aQ1AAAA2BqBFwAAALZG4AUAAICtEXgBAABgawReAAAA2BqBFwAAALZG4AUAAICtEXgBAABgawReAAAA2BqBFwAAALZG4AUAAICtEXgBAABgawReAAAA2BqBFwAAALZG4AUAAICt5fX3CiDzwgd9w2bLpPjodmwzAACuUYzwAgAAwNYIvAAAALA1Ai8AAABsjcALAAAAWyPwAgAAwNYIvAAAALA1Ai8AAABsjcALAAAAWyPwAgAAwNYIvAAAALA1Ai8AAABsjcALAAAAWyPwAgAAwNYIvAAAALA1Ai8AAABsjcALAAAAW8sRgXf69OkSHh4uBQoUkMjISImNjU132VmzZsntt98uJUqUMFOLFi0uW75Hjx4SEBDgMbVu3doHnwQAAAA5jd8D78KFCyUqKkpGjBgh69evlzp16kirVq3kyJEjaS6/cuVK6dq1q6xYsULWrFkjYWFh0rJlS9m/f7/HchpwDx486Jo+/vhjH30iAAAA5CR+D7wTJ06U3r17S8+ePaV69eoyc+ZMKVSokMydOzfN5T/88EN55plnpG7dulK1alWZPXu2XLp0SWJiYjyWCwoKkpCQENeko8EAAAC49vg18CYnJ0tcXJwpS3CtUJ485r6O3mbE2bNn5eLFi1KyZMnLRoLLlCkjVapUkaefflqOHz9u+foDAAAg58vrzzc/duyYpKSkSNmyZT3m6/1t27Zl6DUGDhwo5cqV8wjNWs7QsWNHqVChguzcuVOGDBkibdq0MSE6MDDwste4cOGCmZwSEhKy9bkAAACQc/g18GZXdHS0LFiwwIzm6glvTl26dHHdrlWrltSuXVsqVapklmvevPllrzN27FgZNWqUz9YbAAAA10hJQ+nSpc2I6+HDhz3m632tu72SCRMmmMD7/fffm0B7JRUrVjTvtWPHjjQfHzx4sJw+fdo17d27NwufBgAAADmRXwNv/vz5pV69eh4nnDlPQGvUqFG6zxs/fryMHj1ali1bJvXr17/q++zbt8/U8IaGhqb5uJ7gVqxYMY8JAAAA9uD3Lg3akkx767733nuydetWc4JZUlKS6dqgunXrZkZgncaNGyfDhg0zXRy0d++hQ4fMlJiYaB7XPwcMGCBr166V+Ph4E57vu+8+qVy5sml3BgAAgGuL32t4O3fuLEePHpXhw4eb4KrtxnTk1nki2549e0znBqcZM2aY7g4PPvigx+toH9+RI0eaEomNGzeaAH3q1ClzQpv26dURYR3JBQAAwLUlwOFwOPy9EjmNdmkIDg429bw5sbwhfNA3/l6FXCc+up2/VwEAAPgpr/m9pAEAAADwJgIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFvLEYF3+vTpEh4eLgUKFJDIyEiJjY1Nd9lZs2bJ7bffLiVKlDBTixYtLlve4XDI8OHDJTQ0VAoWLGiW2b59uw8+CQAAAHIavwfehQsXSlRUlIwYMULWr18vderUkVatWsmRI0fSXH7lypXStWtXWbFihaxZs0bCwsKkZcuWsn//ftcy48ePl6lTp8rMmTPl119/lcKFC5vXPH/+vA8/GQAAAHKCAIcOh/qRjug2aNBApk2bZu5funTJhNjnnntOBg0adNXnp6SkmJFefX63bt3M6G65cuXkhRdekBdffNEsc/r0aSlbtqzMmzdPunTpctXXTEhIkODgYPO8YsWKSU4TPugbf69CrhMf3c7fqwAAACyUmbzm1xHe5ORkiYuLMyUHrhXKk8fc19HbjDh79qxcvHhRSpYsae7v2rVLDh065PGaujE0WKf3mhcuXDAbzX0CAACAPfg18B47dsyM0Oroqzu9r6E1IwYOHGhGdJ0B1/m8zLzm2LFjTSh2TjrCDAAAAHvwew1vdkRHR8uCBQvk888/Nye8ZdXgwYPNcLhz2rt3r6XrCQAAAP/J68f3ltKlS0tgYKAcPnzYY77eDwkJueJzJ0yYYALvDz/8ILVr13bNdz5PX0O7NLi/Zt26ddN8raCgIDMBAADAfvw6wps/f36pV6+exMTEuObpSWt6v1GjRuk+T7swjB49WpYtWyb169f3eKxChQom9Lq/ptbkareGK70mAAAA7MmvI7xKW5J1797dBNeGDRvK5MmTJSkpSXr27Gke184L5cuXN3W2aty4cabH7kcffWR69zrrcosUKWKmgIAA6d+/v7z66qsSERFhAvCwYcNMnW+HDh38+lkBAABwDQbezp07y9GjR02I1fCqZQc6cus86WzPnj2mc4PTjBkzTHeHBx980ON1tI/vyJEjze2XXnrJhOYnnnhCTp06JU2aNDGvmZ06XwAAAFxDfXg1hO7evdu0BLvuuuukRo0atqqBpQ+v/dCHFwAAe8lMXsvwCG98fLwZXdWuCPv27TMXeHCvxdXL/eqI6gMPPOAxIgsAAAD4U4aSad++fc0lf/WiDlobu2XLFpOmtbRAyxCWLl1qyga0LEE7Jvz222/eX3MAAAAgAzI0wlu4cGH5559/pFSpUpc9VqZMGWnWrJmZtI5Wa2W1j61eLhgAAADIFYHX2SEhI1q3bp2d9QEAAAAsRbEtAAAAbC3TgVevWPbYY4+ZvrZ58+Y1V0pznwAAAIBc3Ye3R48epi2ZXsxBL92rF3oAAAAAbBN4f/75Z1m1apW5QAQAAABgu5KGsLAwjx68AAAAgK0C7+TJk2XQoEHmQhQAAACA7UoaOnfubC4pXKlSJSlUqJDky5fP4/ETJ05YuX4AAACAbwOvjvACAAAAtg283bt3986aAAAAADkh8KqUlBT54osvZOvWreZ+jRo1pH379vThBQAAQO4PvDt27JC2bdvK/v37pUqVKq5LD2v3hm+++cbU9gIAAAC5tktD3759Tajdu3evrF+/3kx6IYoKFSqYxwAAAIBcPcL7448/ytq1a6VkyZKueaVKlZLo6Ghp3Lix1esHAAAA+HaENygoSM6cOXPZ/MTERMmfP3/21gYAAADwd+C955575IknnpBff/3VXHFNJx3xfeqpp8yJawAAAECuDrxTp041NbyNGjWSAgUKmElLGSpXrixTpkzxzloCAAAAvqrhLV68uHz55Zeyfft22bZtm5lXrVo1E3gBAAAAW/ThVREREWYCAAAAcn3gjYqKktGjR0vhwoXN7SuZOHGiVesGAAAA+CbwbtiwQS5evOi6nZ6AgIDsrxEAAADg68C7YsWKNG8DAAAAtuvSAAAAANhuhLdjx44ZfsHFixdnZ30AAAAA3wfe4OBga98VAAAAyEmB99133/X+mgAAAABeQA0vAAAAbC1DI7w333xzhluOrV+/PrvrBAAAAPg28Hbo0MG6dwQAAAByWuAdMWKE99cEAAAA8AJqeAEAAGBrGRrhLVmypPz9999SunRpKVGixBXreU+cOGHl+gEAAADeD7yTJk2SokWLmtuTJ0/O3jsCAAAAOS3wdu/ePc3bAAAAQE5HDS8AAABsLUMjvCowMDBDy6WkpGRnfQAAAAD/BF6HwyE33nijKWnQC1EAAAAAtgq8sbGxMmfOHJkyZYpUqFBBHn/8cXnkkUdM1wYAAAAg19fw1q9fX2bMmCEHDx6UqKgo+fzzz+X666+XLl26yPLly727lgAAAICvTlorUKCAPProoxITEyObNm2SI0eOSOvWrem/CwAAgNxd0uBu3759Mm/ePDOdPXtWBgwYIMWKFbN+7QAAAABfBd7k5GRTxqB1vKtWrZI2bdqYi1Donxnt4AAAAADk2MAbGhpqrramXRreeustKVOmjJmflJTksRwjvQAAAMhJAhzabywD8uT5X7lvQEDAZY/ry+h8O/ThTUhIkODgYDl9+nSODPDhg77x9yrkOvHR7fy9CgAAwE95LcMjvCtWrLBi3QAAAACfynDgbdq0qXfXBAAAAPBXW7LUdbpWLw8AAAD4NfBWrlxZoqOjzUUn0qM1vHoBCu3aMHXqVCvXEQAAAPBuScPKlStlyJAhMnLkSKlTp4656lq5cuXMRShOnjwpW7ZskTVr1kjevHll8ODB8uSTT2Z9jQAAAABfB94qVarIZ599Jnv27JFPPvnE9OFdvXq1nDt3TkqXLi0333yzzJo1i568AAAAyN1XWrvhhhvkhRdeMBMAAABgmxpeAAAAILci8AIAAMDWCLwAAACwNQIvAAAAbM3vgXf69OkSHh5uWpxFRkZKbGxsustu3rxZHnjgAbN8QECATJ48+bJltHWaPuY+Va1a1cufAgAAALYJvMuWLZOff/7ZI7DWrVtXHn74YdOTNzMWLlwoUVFRMmLECFm/fr3p8duqVSs5cuRImsufPXtWKlasaC6CERISku7r1qhRw1wkwzm5ry8AAACuLZkOvAMGDJCEhARz+88//zQtytq2bSu7du0y4TUzJk6cKL1795aePXtK9erVZebMmVKoUCGZO3dumss3aNBAXn/9denSpYsEBQWl+7p6AQwNxM5JewUDAADg2pTpwKvBVsOp0otR3HPPPTJmzBgz0vvtt99m+HWSk5MlLi5OWrRo8b+VyZPH3NertmXH9u3bzZXgdDT4kUceMRfMuJILFy6YEO8+AQAA4BoNvPnz5zelBeqHH36Qli1bmtslS5bMVFA8duyYpKSkSNmyZT3m6/1Dhw5JVmkd8Lx580zpxYwZM0xAv/322+XMmTPpPmfs2LESHBzsmsLCwrL8/gAAAMjFV1pTTZo0MaULjRs3NieYaR2u+vvvv+X6668Xf2vTpo3rdu3atU0AvvHGG2XRokXSq1evNJ8zePBgj3IMDe6EXgAAgGt0hHfatGmmRvbTTz81I6jly5c387WcoXXr1hl+Ha2rDQwMlMOHD3vM1/tXOiEts4oXLy433XST7NixI91ltB64WLFiHhMAAACu0RHeG264QZYsWXLZ/EmTJmW6NKJevXoSExMjHTp0MPMuXbpk7vfp00eskpiYKDt37pTHHnvMstcErhXhg77x9yrkOvHR7fy9CgAAK/rwaoAcOnSodO3a1dVCTEd4tU9uZmgZwaxZs+S9996TrVu3ytNPPy1JSUmma4Pq1q2bKTdwP9Ht999/N5Pe3r9/v7ntPnr74osvyo8//ijx8fGyevVquf/++81Isq4rAAAArj2ZDrwaJmvVqiW//vqrLF682Iygqj/++MP0082Mzp07y4QJE2T48OGml6+GVz3ZzHkim3ZX0D66TgcOHJCbb77ZTDpfn6u3//Of/7iW2bdvnwm3VapUkU6dOkmpUqVk7dq1ct1112X2owIAAMAGAhwOhyMzT2jUqJE89NBDZnS2aNGiJuhq+y89ga1jx44mcOZ2etKadms4ffp0jqzn5WfmzONnZvY1X2FfA4Ccl9cyPcKrF5vQMoHUypQpY1qNAQAAADlJnqx0PXAvM3DasGGDq2MDAAAAkGsDr17Wd+DAgebiEAEBAaazwi+//GJOFtOTzAAAAIBcHXj1MsJVq1Y1F2bQE9b0MsN33HGH3HbbbaZzAwAAAJCr+/Bq/1xtJTZs2DDZtGmTCb3aKSEiIsI7awgAAAD4MvC6X4BCJwAAACDXB15tQZZREydOzM76AAAAAL4PvNqBISP0JDYAAAAg1wXeFStWeH9NAAAAgJzQpQEAAACw/Ulr69atk0WLFsmePXskOTnZ47HFixdbtW4AAACA70d4FyxYYHrubt26VT7//HO5ePGibN68Wf773/+a6xkDAAAAuf7CE5MmTZKvv/7a9OSdMmWKbNu2TTp16kSbMgAAAOT+wLtz505p166dua2BNykpyXRneP755+Wdd97xxjoCAAAAvgu8JUqUkDNnzpjb5cuXN1dbU6dOnZKzZ89mfU0AAACAnHDS2h133CHLly+XWrVqyUMPPST9+vUz9bs6r3nz5t5YRwAAAMB3gXfatGly/vx5c/vll1+WfPnyyerVq+WBBx6QoUOHZn1NAAAAgJwQeEuWLOm6nSdPHhk0aJDV6wQAAAD4PvD++++/kpKSIkFBQa55hw8flpkzZ5oT19q3by9NmjSxbs0AAAAAXwbe3r17m64Mb7/9trmvJ641aNDAlDeEhoaaVmVffvmltG3b1or1AgAAAHzbpeGXX34xdbpO8+fPNyO+27dvlz/++EOioqLk9ddft2atAAAAAF8H3v3790tERITrfkxMjAnAzqurde/e3VxxDQAAAMiVgbdAgQJy7tw51/21a9dKZGSkx+OJiYnWryEAAADgi8Bbt25def/9983tVatWmRPWmjVr5nEFtnLlymVnXQAAAAD/nbQ2fPhwadOmjSxatEgOHjwoPXr0MCerOX3++efSuHFj69cQAAAA8EXgbdq0qcTFxcn3338vISEh5iprqUeAGzZsmJ11AQAAAPx74Ylq1aqZKS1PPPGEVesEAAAA+L6GFwAAAMiNCLwAAACwNQIvAAAAbI3ACwAAAFvLUuA9deqUzJ49WwYPHiwnTpww89avX2+uxgYAAADk2i4NauPGjdKiRQtzSeH4+Hjp3bu3lCxZUhYvXix79uyR+fPne2dNAQAAAF+M8EZFRZmLTmzfvt1cTtipbdu28tNPP2VlHQAAAICcE3h/++03efLJJy+bX758eTl06JBV6wUAAAD4J/AGBQVJQkLCZfP//vtvue6666xZKwAAAMBfgbd9+/byyiuvyMWLF839gIAAU7s7cOBAeeCBB6xaLwAAAMA/gfeNN96QxMREKVOmjJw7d06aNm0qlStXlqJFi8prr71mzVoBAAAA/urSoN0Zli9fLj///LPp2KDh95ZbbjGdGwAAAIBcH3idmjRpYiYAAADAVoF36tSpac7XWl5tU6blDXfccYcEBgZasX4AAACAbwPvpEmT5OjRo3L27FkpUaKEmXfy5EkpVKiQFClSRI4cOSIVK1aUFStWSFhYWPbWDgAAAPD1SWtjxoyRBg0amAtPHD9+3EzakiwyMlKmTJliOjaEhITI888/n911AwAAAHw/wjt06FD57LPPpFKlSq55WsYwYcIE05bsn3/+kfHjx9OiDAAAALlzhPfgwYPy77//XjZf5zmvtFauXDk5c+aMNWsIAAAA+DLw3nXXXebSwhs2bHDN09tPP/20NGvWzNz/888/pUKFCtlZLwAAAMA/gXfOnDlSsmRJqVevnrnMsE7169c38/QxpSev6QUqAAAAgFxXw6snpOmFJ7Zt22ZOVlNVqlQxk/soMAAAAJCrLzxRtWpVMwEAAAC2C7z79u2Tr776yrQgS05O9nhs4sSJVq0bAAAA4PvAGxMTI+3btzcXl9Cyhpo1a0p8fLw4HA655ZZbsr9GAAAAgD9PWhs8eLC8+OKLphODXkpYe/Lu3btXmjZtKg899JCV6wYAAAD4PvBu3bpVunXrZm7nzZtXzp07Z7oyvPLKKzJu3Di+EgAAAOTuwFu4cGFX3W5oaKjs3LnT9dixY8esXTsAAADA1zW8t956q/z8889SrVo1adu2rbzwwgumvGHx4sXmMQAAACBXB17twpCYmGhujxo1ytxeuHChRERE0KEBAAAAuTvwpqSkmJZktWvXdpU3zJw501vrBgAAAPi2hjcwMFBatmwpJ0+ezP47AwAAADnxpDXtu/vPP/9YtgLTp0+X8PBw0+IsMjJSYmNj01128+bN8sADD5jlAwICZPLkydl+TQAAANhbpgPvq6++avrwLlmyRA4ePCgJCQkeU2Zo7W9UVJSMGDFC1q9fL3Xq1JFWrVrJkSNH0lz+7Nmz5oIX0dHREhISYslrAgAAwN4CHHqJtEzIk+d/GVlHWZ30ZfS+1vlmlI6+NmjQQKZNm2buX7p0ScLCwuS5556TQYMGXfG5OoLbv39/M1n1mk4a3IODg+X06dNSrFgxyWnCB33j71XIdeKj2/l7FXIl9rXMY18DAN/ITF7LdJeGFStWiBW0l29cXJy5cpt7mG7RooWsWbPGp6954cIFMzlldqQaAAAAOVemA69eQtgKepEKHQ0uW7asx3y9v23bNp++5tixY02LNQAAANhPpmt41apVq+TRRx+V2267Tfbv32/mvf/+++aCFLmRjgjrcLhz2rt3r79XCQAAAP4KvJ999pk5CaxgwYLmpDBnKYAGxTFjxmT4dUqXLm3anB0+fNhjvt5P74Q0b71mUFCQqf1wnwAAAHANd2nQi03MmjVL8uXL55rfuHFjE4AzKn/+/FKvXj2JiYlxzdMTzPR+o0aNMrtaXntNAAAAXGM1vH/99Zfccccdl83Xs+ROnTqVqdfS9mHdu3eX+vXrS8OGDU1f3aSkJOnZs6d5vFu3blK+fHlTY+s8KW3Lli2u21pO8fvvv0uRIkWkcuXKGXpNAAAAXFsyHXi1NGDHjh2mLZg7rd/VHrmZ0blzZzl69KgMHz5cDh06JHXr1pVly5a5Tjrbs2ePRxu0AwcOyM033+y6P2HCBDPpiXQrV67M0GsCAADg2pLpwNu7d2/p16+fzJ071/Td1RCqLb/0YhTDhg3L9Ar06dPHTGlxhlgnDdkZaRt8pdcEAADAtSXTgVcv3qB1sc2bNzdXPtPyBj3pSwOvXtwBAAAAyNWBV0d1X375ZRkwYIApbUhMTJTq1aubOloAAAAg13dp+OCDD8zIrnZE0KCrJ4YRdgEAAGCbwPv8889LmTJl5OGHH5alS5eaK5sBAAAAtgm8Bw8elAULFpjShk6dOkloaKg8++yzsnr1au+sIQAAAODLwJs3b16555575MMPP5QjR47IpEmTJD4+Xu666y6pVKlSdtYFAAAA8P9Ja+4KFSpkLjN88uRJ2b17t2zdutW6NQMAAAD8McKr9KQ1HeFt27atuRKaXs3s/vvvl82bN1uxTgAAAID/Rni7dOkiS5YsMaO7WsOrF5to1KiRdWsEAAAA+DPwBgYGyqJFi0wpg952t2nTJqlZs6aV6wcAAAD4NvBqKYO7M2fOyMcffyyzZ8+WuLg42pQBAAAg99fwqp9++km6d+9u2pJNmDBBmjVrJmvXrrV27QAAAABfjvAeOnRI5s2bJ3PmzJGEhARTw3vhwgX54osvzFXXAAAAgFw7wnvvvfdKlSpVZOPGjaYrw4EDB+TNN9/07toBAAAAvhrh/fbbb6Vv377y9NNPS0RERHbfFwAAAMhZI7w///yzOUGtXr16EhkZKdOmTZNjx455d+0AAAAAXwXeW2+9VWbNmiUHDx6UJ598UhYsWCDlypWTS5cuyfLly00YBgAAAHJ9l4bChQvL448/bkZ8//zzT3nhhRckOjpaypQpI+3bt/fOWgIAAAC+bkum9CS28ePHy759+0wvXgAAAMBWgddJr7jWoUMH+eqrr6x4OQAAACBnBV4AAAAgpyLwAgAAwNYydaU1AAC8IXzQN2zYTIqPbsc2AzKIEV4AAADYGoEXAAAAtkbgBQAAgK0ReAEAAGBrBF4AAADYGoEXAAAAtkbgBQAAgK0ReAEAAGBrBF4AAADYGoEXAAAAtkbgBQAAgK0ReAEAAGBrBF4AAADYGoEXAAAAtkbgBQAAgK0ReAEAAGBrBF4AAADYGoEXAAAAtkbgBQAAgK0ReAEAAGBrBF4AAADYGoEXAAAAtkbgBQAAgK0ReAEAAGBrBF4AAADYGoEXAAAAtkbgBQAAgK0ReAEAAGBrBF4AAADYGoEXAAAAtkbgBQAAgK0ReAEAAGBrBF4AAADYGoEXAAAAtkbgBQAAgK3liMA7ffp0CQ8PlwIFCkhkZKTExsZecflPPvlEqlatapavVauWLF261OPxHj16SEBAgMfUunVrL38KAAAA5ER+D7wLFy6UqKgoGTFihKxfv17q1KkjrVq1kiNHjqS5/OrVq6Vr167Sq1cv2bBhg3To0MFMmzZt8lhOA+7Bgwdd08cff+yjTwQAAICcxO+Bd+LEidK7d2/p2bOnVK9eXWbOnCmFChWSuXPnprn8lClTTJgdMGCAVKtWTUaPHi233HKLTJs2zWO5oKAgCQkJcU0lSpTw0ScCAABATuLXwJucnCxxcXHSokWL/61Qnjzm/po1a9J8js53X17piHDq5VeuXCllypSRKlWqyNNPPy3Hjx9Pdz0uXLggCQkJHhMAAADswa+B99ixY5KSkiJly5b1mK/3Dx06lOZzdP7VltcR4Pnz50tMTIyMGzdOfvzxR2nTpo15r7SMHTtWgoODXVNYWJglnw8AAAD+l1dsqEuXLq7belJb7dq1pVKlSmbUt3nz5pctP3jwYFNH7KQjvIReAAAAe/Br4C1durQEBgbK4cOHPebrfa27TYvOz8zyqmLFiua9duzYkWbg1XpfnQAAgL2FD/rG36uQ68RHt5Pczq8lDfnz55d69eqZ0gOnS5cumfuNGjVK8zk63315tXz58nSXV/v27TM1vKGhoRauPQAAAHIDv3dp0FKCWbNmyXvvvSdbt241J5glJSWZrg2qW7dupuTAqV+/frJs2TJ54403ZNu2bTJy5EhZt26d9OnTxzyemJhoOjisXbtW4uPjTTi+7777pHLlyubkNgAAAFxb/F7D27lzZzl69KgMHz7cnHhWt25dE2idJ6bt2bPHdG5wuu222+Sjjz6SoUOHypAhQyQiIkK++OILqVmzpnlcSyQ2btxoAvSpU6ekXLly0rJlS9O+jLIFAACAa4/fA6/S0VnnCG1qeqJZag899JCZ0lKwYEH57rvvLF9HAAAA5E5+L2kAAAAAvInACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFsj8AIAAMDWCLwAAACwNQIvAAAAbI3ACwAAAFvLEYF3+vTpEh4eLgUKFJDIyEiJjY294vKffPKJVK1a1Sxfq1YtWbp0qcfjDodDhg8fLqGhoVKwYEFp0aKFbN++3cufAgAAADmR3wPvwoULJSoqSkaMGCHr16+XOnXqSKtWreTIkSNpLr969Wrp2rWr9OrVSzZs2CAdOnQw06ZNm1zLjB8/XqZOnSozZ86UX3/9VQoXLmxe8/z58z78ZAAAAMgJ/B54J06cKL1795aePXtK9erVTUgtVKiQzJ07N83lp0yZIq1bt5YBAwZItWrVZPTo0XLLLbfItGnTXKO7kydPlqFDh8p9990ntWvXlvnz58uBAwfkiy++8PGnAwAAgL/l9eebJycnS1xcnAwePNg1L0+ePKYEYc2aNWk+R+friLA7Hb11htldu3bJoUOHzGs4BQcHm1IJfW6XLl0ue80LFy6Yyen06dPmz4SEBMmJLl046+9VyHVy6neZ07GvZR77Gvuar7Cvsa9d6/tawv9fLx3szNGB99ixY5KSkiJly5b1mK/3t23bluZzNMymtbzOdz7unJfeMqmNHTtWRo0addn8sLCwTH4i5FTBk/29BrhWsK+BfQ12E5zD/w09c+aMGdzMsYE3p9ARZvdR40uXLsmJEyekVKlSEhAQ4Nd1y030SEsPEvbu3SvFihXz9+rAxtjXwL4Gu+HvtczTkV0Nu+XKlbvqsn4NvKVLl5bAwEA5fPiwx3y9HxISkuZzdP6Vlnf+qfO0S4P7MnXr1k3zNYOCgszkrnjx4ln8VNCwS+CFL7CvwVfY18C+ljNdbWQ3R5y0lj9/fqlXr57ExMR4jK7q/UaNGqX5HJ3vvrxavny5a/kKFSqY0Ou+jB41abeG9F4TAAAA9uX3kgYtJejevbvUr19fGjZsaDosJCUlma4Nqlu3blK+fHlTZ6v69esnTZs2lTfeeEPatWsnCxYskHXr1sk777xjHtcShP79+8urr74qERERJgAPGzbMDHdr+zIAAABcW/weeDt37ixHjx41F4rQk8q07GDZsmWuk8727NljOjc43XbbbfLRRx+ZtmNDhgwxoVY7NNSsWdO1zEsvvWRC8xNPPCGnTp2SJk2amNfUC1XAe7QsRPsppy4PAdjXkFvx9xrY1+whwJGRXg4AAABALuX3C08AAAAA3kTgBQAAgK0ReAEAAGBrBF4AAADYGoEXAAARc5XIffv2ubZFbGysaXPpbHsJIPci8AIAICIPP/ywrFixwmwLbZN59913m9D78ssvyyuvvMI2gqU4wPItAi8sp72PAV9gX4OVNm3aZC6ApBYtWmT6u69evVo+/PBDmTdvHhsbluIAy7cIvMiWcePGycKFC133O3XqJKVKlTJXx/vjjz/YurAM+xq87eLFi64L5/zwww/Svn17c7tq1apy8OBBvgBYigMs3yLwIltmzpwpYWFh5vby5cvN9O2330qbNm1kwIABbF1Yhn0N3lajRg2zn61atcr8Xda6dWsz/8CBA+ZAHrASB1jX2KWFkbtpnZsz8C5ZssSM8LZs2VLCw8MlMjLS36sHG2Ffgy9+Rbj//vvl9ddfl+7du0udOnXM/K+++spV6gBYfYDVrl07c4A1evRoM58DLO9ghBfZUqJECVN4r5YtWyYtWrQwt/WK1SkpKWxdWIZ9Dd525513yrFjx8w0d+5c1/wnnnjCBBPA6gOst99+2+x3Xbt25QDLyxjhRbZ07NjRFN5HRETI8ePHTSmD2rBhg1SuXJmtC8uwr8EX9GA9Li5Odu7caf5uK1q0qOTPn18KFSrEFwCvHGAlJCSYA3r3Ayz2N+sReJEtkyZNMuULOso7fvx4KVKkiJmvJ3g888wzbF1Yhn0N3rZ7925Tt7tnzx65cOGCaUumgVdH4vQ+o7ywGgdYvhPg0K0NAMA1rkOHDibgzpkzx5ykpp1mKlasKCtXrpTevXvL9u3b/b2KsPEB1t9//232t379+nGA5QXU8CLb3n//fWnSpImUK1fO/A+sJk+eLF9++SVbF5ZiX4M3aXeGoUOHmhIGd/or1v79+9n4sJQG2/r168vJkyelYMGCrvl64mRMTAxb22IEXmTLjBkzJCoqytTu6kUAnCeqFS9e3IRewCrsa/C2S5cupXmyrV5uWEd+AStxgOVbBF5ky5tvvimzZs0yl94MDAx0zdej1j///JOtC8uwr8HbtKWi+4F6QECAJCYmyogRI6Rt27Z8AbAUB1i+ReBFtuzatUtuvvnmy+br1YqSkpLYurAM+xq87Y033pBffvlFqlevLufPnzddGpzlDHriGmAlDrB8iy4NyJYKFSrI77//LjfeeKPHfO3JW61aNbYuLMO+Bm+7/vrrzYlqCxYskI0bN5rR3V69eskjjzziUWMJWHWA1apVK48DLD0xsnTp0vLxxx+zkS1G4EW2aP3us88+a/5n1YYfsbGx5n/UsWPHyuzZs9m6sAz7Gnwhb9688uijj7Kx4XUcYPkWbcmQbR9++KGMHDnSNGpX2q1h1KhRZmQEsBL7Gqymlw3OqPbt2/MFALkUgReWOXv2rPkJsEyZMmxVeBX7GqySJ0/GTmXRE9i4XDqyiwMs/yHwAgAA+AAHWP5D4EWmaVcGHe3IiPXr17OFkWXsawAAK3DSGrJ0+U3AF9jX4GvaTvHHH380l3tNTk72eKxv3758IUAuxQgvAAAismHDBnOBCa0R1+BbsmRJOXbsmBQqVMicm/DPP/+wnWApDrB8h8ALAICI3HnnnXLTTTfJzJkzJTg42PTkzZcvn2lT1q9fP+nYsSPbCZbhAMu3uNIaskXPWp4wYYI0bNhQQkJCzIiI+wRYhX0N3qYX0XnhhRfMiUV6qfQLFy5IWFiYjB8/XoYMGcIXAEs9//zzcu+998rJkyfNhU3Wrl0ru3fvlnr16pl/V2EtAi+yRfvtTpw4UTp37iynT582FwfQURD9B0N78wJWYV+Dt+lorvMsei1h0DpepaO9e/fu5QuApTjA8i0CL7J9IYBZs2aZURG9QlHXrl3NFdaGDx9ujlYBq7CvwRddQX777Tdzu2nTpubvMd3v+vfvLzVr1uQLgKU4wPItAi+y5dChQ1KrVi1zu0iRImaUV91zzz3yzTffsHVhGfY1eNuYMWMkNDTU3H7ttdekRIkS8vTTT8vRo0flnXfe4QuApTjA8i0CL7J9LfCDBw+a25UqVZLvv//e3NZRkqCgILYuLMO+Bm+rX7++3HXXXa6ShmXLlklCQoLExcVJnTp1+AJgKQ6wfIs+vMiW+++/X2JiYiQyMlKee+45czbznDlzTO2bFuQDVmFfg69pP15tUXbrrbea0V7A6gMsJ+cBFryHtmSw1Jo1a8wUERFhzj4FvIV9DVYZN26cJCYmyujRo819h8Mhbdq0cf1ipWFED+xr1KjBRofXcIDlXQReAMA17ZZbbpGBAweabjPqk08+ke7du8vy5culWrVq0q1bN3PxiUWLFvl7VWEDHGD5BzW8yJK///5bYmNjPebpCIjWv2lPXq1NAqzAvgZv27Vrl9SuXdt1f+nSpfLggw9K48aNTT/xoUOHml8UACssXLjQo+vHp59+Kj/99JOsWrXKXNlPSx20DSOsReBFluhoyJIlSzz+wdAShvz580ujRo1k7NixMnnyZLYuso19Dd7277//epxkq+H2tttuc90vV66cCSKAFTjA8g8CL7Jk3bp1psbNSXtV6iU5v/vuO5kyZYoJu/PmzWPrItvY1+Bt2mFGR9iUnnCrvyrccccdrsf37dsnpUqV4ouAJTjA8g8CL7JERzu0TZTTihUrPE5S02vSx8fHs3WRbexr8LZnn31W+vTpI7169TIH8vorVfXq1V2P//e//zU9UwErcIDlHwReZInWtTn77166dMmMwmnrHqfk5GRzpjOQXexr8LbevXvL1KlT5cSJE2Zk97PPPvN4/MCBA/L444/zRcASHGD5B4EXWaIjuNrCR68vr+ULGnp1ntOWLVskPDycrYtsY1+DL2ig/fzzz2XGjBkSEhLi8dhbb71l+kA7RUdHy6lTp/hikCUcYPkHbcmQJVqucPfdd8vOnTslMDDQjI7oJTidOnToIBUqVJBJkyaxhZEt7GvIaYoVKya///67VKxY0d+rgmuAHmA99dRTUrx4cX+vSq5G4EW2Cu83b94s1113nTmL2d0ff/xhanw50QNWYF9DTlK0aFHzdxyBF77AAZY1CLzwCf6Hha+wr8HbCLzwJfY3a1DDC5/gBDb4CvsaACA1Ai8AAABsjcALAAAAWyPwAgCQCbfffrsULFiQbQbkIgRe+ERAQABbGuxryJG0j/i4ceOkcePG0qBBAxk0aJCcO3cu3eWXLl0qoaGhPl1H2K/zzPz58+Xw4cNXXZYDLGsQeOETnEgEX2FfQ2a99tprMmTIEClSpIiUL19epkyZYq6GBXhL3rx5TW/d8+fPX3VZDrCsQeCFV2zdulVefPFF1/1vv/3W/EMCeBv7GjJLR9r0amrfffedfPHFF/L111/Lhx9+aEZ+AW9p2LChuYAJfIM+vLBMUlKSLFiwQObMmSNr166V6tWry6ZNm9jCyJaOHTumOT84OFhuuukm+c9//mMufgJkVVBQkOzYsUPCwsJc8woUKGDm6QV0AG9YtGiRDB48WJ5//nmpV6+eFC5c2OPx2rVrs+EtROBFtv3yyy8m5Or/vFr3pv/zagipWrUqWxfZ1rNnzzTnnzp1ylztSv/86aefpGbNmmxtZIleHv3QoUMeB07a7H/jxo3mEumAN+TJkyfN8120LEv/TElJYcNbiMCLLDly5IjMmzdP5s6dK6dPn5auXbvKww8/LI0aNTIhREd3AW/Tn5x79+5t9kf9GRrIavBo06aNGel10v2pWbNmHqNuixcvZgPDMrt3777i4zfeeCNb20IEXmSJtuR58MEH5dFHH5W7777bdaSaL18+Ai98Sg+wNKwcOHCALY8s6dGjR4Y6ybz77rtsYSCXyuvvFUDupEeeP//8s9xwww3mNuUL8BcdgTt79ixfALJMf60C/OH999+XmTNnyq5du2TNmjXm39PJkyebUpr77ruPL8VCBF5kybZt21y1u9q3Uk8e0tFeRc9d+NLy5cvN/gdYfWJk6jZSISEh5hete++9l42NbJsxY4YMHz5c+vfvb1rjOWt2ixcvbkIvgddalDQg2xITE+Xjjz82P/dpd4amTZuaet4OHTpw9jyy7auvvkpzvtaOx8XFyezZs83UpUsXtjYsPTEydb241or/+OOPpuXiK6+8wtZGtui5LmPGjDH/VupJklqeVbFiRdPd6M4775Rjx46xhS1E4IWltmzZYkZ9P/jgAzlx4oRcvHiRLQzLz2RW+g9ElSpVJCoqirALn1myZIk888wzsmfPHrY6sn0ujP5aqmUM7oF3+/btpiXZla72h8yjpAGWH7G+8cYb5jKd6Y3MAZlB83/kJE2aNJH69ev7ezVgA1qnqxeeSN2NYdmyZVKtWjW/rZddcaU1ZG3HyZPH9K5Mb9L2Pp06dWLrItvatm1ryhecoqOjTe9dp+PHj9MGDz6j9ZW0J4MV9NcpvYT1woULTe/d2NhYU8urF6N46aWX2MgWo6QBWfLll1+m+5ieaTp16lTzPzA/ycCKgyu9KECZMmXM/WLFiplREf3pTx0+fFjKlStHk3YAuY5ewnrkyJGyc+dOc1//Lhs1apT06tXL36tmOwReWOavv/6SQYMGmYbtjzzyiDmpg8bZsDrwute6KQIvgNxOWyvqCeDOv+dgPUoakG3a8F+vdlWrVi35999/zejbe++9R9gFACADChUqRNj1MgIvskzrKgcOHCiVK1eWzZs3S0xMjBndrVmzJlsVltG+zql7O9PrGUBup79OPfbYY6aMQfs8pz4XBtaiSwOyZPz48aYTgzZi1x68NMiGt2gtuF76VU+EVOfPn5ennnrKXGFNXbhwgY0PINfRv9e0vd2wYcMkNDSUA3kvo4YXWa6r1B6CLVq0uOKRKGczwxcXBVB64RMAyC30fIRVq1ZJ3bp1/b0q1wRGeJEl3bp142gUPkGQBWBHYWFh5hcs+AYjvAAAAD72/fffmws1vf322xIeHs729zICLwAAgA+UKFHC49fRpKQk091IuzTky5fPY9kTJ07wnViIkgYAAAAfmDx5MtvZTxjhBQAAgK3RhxcAAMDHtMPRkSNHLpt//Phx+vB6AYEXAADAx9Lr0KC9xfPnz8/3YTFqeAEAAHxk6tSp5k89eW327NlSpEgR12MpKSny008/SdWqVfk+LEYNLwAAgI9UqFDB/Ll79265/vrrPcoXdGRXW5S98sorEhkZyXdiIQIvAACAj911113maqTalkxHe0uXLs134EXU8AIAAPjQqVOnpFq1ahIRESEhISFStmxZE3j79OljHoP1GOEFAADwEb2gRKNGjWT//v3yyCOPmOCrtmzZIh999JG55PDq1avNRSpgHQIvAACAj/Tv319iYmLkhx9+MCO77g4dOiQtW7aU5s2by6RJk/hOLETgBQAA8BE9Ke3tt9+WVq1apfn4smXL5KmnnpL4+Hi+EwtRwwsAAOAjBw8elBo1aqT7eM2aNc1IL6xF4AUAAPARPTntSqO3u3btkpIlS/J9WIzACwAA4CNayvDyyy9LcnJymldZGzZsmLRu3Zrvw2LU8AIAAPjIvn37pH79+hIUFCTPPvusuaqaXmZ469at8tZbb5nQu27dOtOtAdYh8AIAAPiQli0888wz8v3335uwawJZQIDcfffdMm3aNKlcuTLfh8UIvAAAAH5w8uRJ2b59u7mtIZfaXe8h8AIAAMDWOGkNAAAAtkbgBQAAgK0ReAEAAGBrBF4AAADYGoEXAAAAtkbgBQAAgK0ReAEAAGBrBF4AAACInf0/E4NCoGpbI38AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NA_Sales       0.265415\n",
      "EU_Sales       0.147554\n",
      "JP_Sales       0.078661\n",
      "Other_Sales    0.048325\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "avg_sales = df_eda[['NA_Sales','EU_Sales','JP_Sales','Other_Sales']].mean()\n",
    "\n",
    "plt.figure(figsize=(8,5))\n",
    "avg_sales.sort_values(ascending=False).plot(kind='bar')\n",
    "\n",
    "plt.title('Average Sales by Region')\n",
    "plt.ylabel('Average Sales (Million)')\n",
    "plt.show()\n",
    "\n",
    "print(avg_sales)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "581d9b59",
   "metadata": {},
   "source": [
    "#Hypotesis Testing\n",
    "\n",
    "H0 : Tidak ada perbedaan rata-rata Global Sales antara genre Action dan Sports\n",
    "\n",
    "H1 : Ada perbedaan rata-rata Global Sales antara genre Action dan Sports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5fd1fe70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T-Statistic : -0.7982983070671815\n",
      "P-Value : 0.42475483355072835\n"
     ]
    }
   ],
   "source": [
    "from scipy.stats import ttest_ind\n",
    "\n",
    "action_sales = df_eda[df_eda['Genre']=='Action']['Global_Sales']\n",
    "\n",
    "sports_sales = df_eda[df_eda['Genre']=='Sports']['Global_Sales']\n",
    "\n",
    "t_stat, p_value = ttest_ind(\n",
    "    action_sales,\n",
    "    sports_sales,\n",
    "    equal_var=False\n",
    ")\n",
    "\n",
    "print(\"T-Statistic :\", t_stat)\n",
    "print(\"P-Value :\", p_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d1c31d6b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fail to Reject H0\n",
      "Tidak terdapat perbedaan signifikan\n"
     ]
    }
   ],
   "source": [
    "alpha = 0.05\n",
    "\n",
    "if p_value < alpha:\n",
    "    print(\"Reject H0\")\n",
    "    print(\"Terdapat perbedaan signifikan antara genre Action dan Sports\")\n",
    "else:\n",
    "    print(\"Fail to Reject H0\")\n",
    "    print(\"Tidak terdapat perbedaan signifikan\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "015c35ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5296280356593913\n"
     ]
    }
   ],
   "source": [
    "\n",
    "mean_action = action_sales.mean()\n",
    "\n",
    "print(mean_action)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4a704169",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5682465277777778\n"
     ]
    }
   ],
   "source": [
    "mean_sports = sports_sales.mean()\n",
    "\n",
    "print(mean_sports)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be0e2661",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Genre\n",
       "Action          3253\n",
       "Sports          2304\n",
       "Misc            1710\n",
       "Role-Playing    1471\n",
       "Shooter         1282\n",
       "Adventure       1276\n",
       "Racing          1226\n",
       "Platform         876\n",
       "Simulation       851\n",
       "Fighting         836\n",
       "Strategy         671\n",
       "Puzzle           571\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda['Genre'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "153fbc73",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F-statistic: 18.2415\n",
      "P-value: 0.0000000000\n",
      "\n",
      "Decision: Reject H0\n",
      "Conclusion: Ada perbedaan signifikan terhadap average global sales di antara genre.\n"
     ]
    }
   ],
   "source": [
    "from scipy.stats import f_oneway\n",
    "\n",
    "groups = [\n",
    "    group['Global_Sales']\n",
    "    for _, group in df_eda.groupby('Genre')\n",
    "]\n",
    "\n",
    "f_stat, p_value = f_oneway(*groups)\n",
    "\n",
    "# Output hasil\n",
    "print(f\"F-statistic: {f_stat:.4f}\")\n",
    "print(f\"P-value: {p_value:.10f}\")\n",
    "\n",
    "alpha = 0.05\n",
    "\n",
    "if p_value < alpha:\n",
    "    print(\"\\nDecision: Reject H0\")\n",
    "    print(\"Conclusion: Ada perbedaan signifikan terhadap average global sales di antara genre.\")\n",
    "else:\n",
    "    print(\"\\nDecision: Fail to Reject H0\")\n",
    "    print(\"Conclusion: Tidak ada perbedaan signifikan terhadap average global sales di antara genre..\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50ab888e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Region dengan korelasi tertinggi: NA_Sales\n",
      "Nilai korelasi: 0.941\n"
     ]
    }
   ],
   "source": [
    "global_corr = corr['Global_Sales'].drop('Global_Sales')\n",
    "\n",
    "highest_region = global_corr.idxmax()\n",
    "highest_value = global_corr.max()\n",
    "\n",
    "print(\"Region dengan korelasi tertinggi:\", highest_region)\n",
    "print(\"Nilai korelasi:\", round(highest_value,3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd44cdbb",
   "metadata": {},
   "source": [
    "Karena NA_Sales memiliki korelasi tertinggi, kita akan melakukan uji Regresi Linear untuk melihat seberapa signifikan variabel ini dalam memprediksi Global_Sales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b411b8d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R-squared: 0.8860\n",
      "P-value: 0.0\n",
      "Validasi Epistemik Berhasil: NA_Sales adalah prediktor yang signifikan secara statistik untuk Global_Sales.\n",
      "Sekitar 88.60% varians pada Global Sales dapat dijelaskan oleh NA Sales.\n"
     ]
    }
   ],
   "source": [
    "from scipy.stats import linregress\n",
    "\n",
    "slope, intercept, r_value, p_value_lin, std_err = linregress(df_eda['NA_Sales'], df_eda['Global_Sales'])\n",
    "\n",
    "print(f\"R-squared: {r_value**2:.4f}\")\n",
    "print(f\"P-value: {p_value_lin}\")\n",
    "\n",
    "if p_value_lin < 0.05:\n",
    "    print(\"Validasi Epistemik Berhasil: NA_Sales adalah prediktor yang signifikan secara statistik untuk Global_Sales.\")\n",
    "    print(f\"Sekitar {r_value**2 * 100:.2f}% varians pada Global Sales dapat dijelaskan oleh NA Sales.\")\n",
    "else:\n",
    "    print(\"Validasi Gagal: Hubungan tidak signifikan secara statistik.\")"
   ]
  }
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