{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ANALISIS PENJUALAN TOKO RETAIL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('retail_sales_dataset.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Transaction ID</th>\n",
       "      <th>Date</th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Product Category</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Price per Unit</th>\n",
       "      <th>Total Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-24</td>\n",
       "      <td>CUST001</td>\n",
       "      <td>Male</td>\n",
       "      <td>34</td>\n",
       "      <td>Beauty</td>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2023-02-27</td>\n",
       "      <td>CUST002</td>\n",
       "      <td>Female</td>\n",
       "      <td>26</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>2</td>\n",
       "      <td>500</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2023-01-13</td>\n",
       "      <td>CUST003</td>\n",
       "      <td>Male</td>\n",
       "      <td>50</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2023-05-21</td>\n",
       "      <td>CUST004</td>\n",
       "      <td>Male</td>\n",
       "      <td>37</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>1</td>\n",
       "      <td>500</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2023-05-06</td>\n",
       "      <td>CUST005</td>\n",
       "      <td>Male</td>\n",
       "      <td>30</td>\n",
       "      <td>Beauty</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Transaction ID        Date Customer ID  Gender  Age Product Category  \\\n",
       "0               1  2023-11-24     CUST001    Male   34           Beauty   \n",
       "1               2  2023-02-27     CUST002  Female   26         Clothing   \n",
       "2               3  2023-01-13     CUST003    Male   50      Electronics   \n",
       "3               4  2023-05-21     CUST004    Male   37         Clothing   \n",
       "4               5  2023-05-06     CUST005    Male   30           Beauty   \n",
       "\n",
       "   Quantity  Price per Unit  Total Amount  \n",
       "0         3              50           150  \n",
       "1         2             500          1000  \n",
       "2         1              30            30  \n",
       "3         1             500           500  \n",
       "4         2              50           100  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>Transaction ID</th>\n",
       "      <th>Age</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Price per Unit</th>\n",
       "      <th>Total Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.00000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>500.500000</td>\n",
       "      <td>41.39200</td>\n",
       "      <td>2.514000</td>\n",
       "      <td>179.890000</td>\n",
       "      <td>456.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>288.819436</td>\n",
       "      <td>13.68143</td>\n",
       "      <td>1.132734</td>\n",
       "      <td>189.681356</td>\n",
       "      <td>559.997632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>18.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>250.750000</td>\n",
       "      <td>29.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>500.500000</td>\n",
       "      <td>42.00000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>135.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>750.250000</td>\n",
       "      <td>53.00000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>900.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>64.00000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Transaction ID         Age     Quantity  Price per Unit  Total Amount\n",
       "count     1000.000000  1000.00000  1000.000000     1000.000000   1000.000000\n",
       "mean       500.500000    41.39200     2.514000      179.890000    456.000000\n",
       "std        288.819436    13.68143     1.132734      189.681356    559.997632\n",
       "min          1.000000    18.00000     1.000000       25.000000     25.000000\n",
       "25%        250.750000    29.00000     1.000000       30.000000     60.000000\n",
       "50%        500.500000    42.00000     3.000000       50.000000    135.000000\n",
       "75%        750.250000    53.00000     4.000000      300.000000    900.000000\n",
       "max       1000.000000    64.00000     4.000000      500.000000   2000.000000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 9 columns):\n",
      " #   Column            Non-Null Count  Dtype \n",
      "---  ------            --------------  ----- \n",
      " 0   Transaction ID    1000 non-null   int64 \n",
      " 1   Date              1000 non-null   object\n",
      " 2   Customer ID       1000 non-null   object\n",
      " 3   Gender            1000 non-null   object\n",
      " 4   Age               1000 non-null   int64 \n",
      " 5   Product Category  1000 non-null   object\n",
      " 6   Quantity          1000 non-null   int64 \n",
      " 7   Price per Unit    1000 non-null   int64 \n",
      " 8   Total Amount      1000 non-null   int64 \n",
      "dtypes: int64(5), object(4)\n",
      "memory usage: 70.4+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "dari sini kita bisa mengetahui rentan usia terbanyak membeli adalah usia 40-55"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = [0, 19, 29, 39, 55, 65, float('inf')]\n",
    "labels = ['0-19', '20-29', '30-39', '40-55', '56-65', '65++']\n",
    "\n",
    "# Add a new column for age range\n",
    "df['Age Range'] = pd.cut(df['Age'], bins=bins, labels=labels, right=False)\n",
    "\n",
    "# Count the number of transactions for each age range\n",
    "age_range_counts = df['Age Range'].value_counts().sort_index()\n",
    "\n",
    "# Plotting the data\n",
    "plt.figure(figsize=(10, 6))\n",
    "age_range_counts.plot(kind='bar', color='skyblue')\n",
    "plt.title('Number of Transactions by Age Range')\n",
    "plt.xlabel('Age Range')\n",
    "plt.ylabel('Number of Transactions')\n",
    "plt.xticks(rotation=0)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "dapat kita ketahui kategori terlaris adalah clothing dengan jumlah pembelian 350 barang "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Menghitung jumlah transaksi untuk setiap gender\n",
    "category_counts = df['Product Category'].value_counts()\n",
    "\n",
    "# Plotting the data\n",
    "plt.figure(figsize=(10, 6))\n",
    "category_counts.plot(kind='bar', color='skyblue')\n",
    "plt.title('Number of Transactions by category')\n",
    "plt.xlabel(' cstegory')\n",
    "plt.ylabel('Number of Transactions')\n",
    "plt.xticks(rotation=0)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Product Category  Beauty  Clothing  Electronics\n",
      "Gender                                         \n",
      "Female               166       174          170\n",
      "Male                 141       177          172\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Menghitung jumlah transaksi untuk setiap gender\n",
    "gender_counts = df['Gender'].value_counts()\n",
    "\n",
    "# Plotting the data\n",
    "plt.figure(figsize=(10, 6))\n",
    "gender_counts.plot(kind='bar', color='skyblue')\n",
    "plt.title('Number of Transactions by Gender')\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Number of Transactions')\n",
    "plt.xticks(rotation=0)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.show()\n",
    "\n",
    "# Menghitung jumlah transaksi untuk setiap kombinasi gender dan kategori produk\n",
    "product_counts_by_gender = df.groupby(['Gender', 'Product Category']).size().unstack().fillna(0)\n",
    "\n",
    "# Menampilkan hasil\n",
    "print(product_counts_by_gender)\n",
    "\n",
    "# Plotting the product counts by gender\n",
    "product_counts_by_gender.plot(kind='bar', stacked=True, figsize=(12, 7), color=['skyblue', 'lightgreen', 'lightcoral', 'orange', 'purple'])\n",
    "plt.title('Number of Transactions for Each Product Category by Gender')\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Number of Transactions')\n",
    "plt.xticks(rotation=0)\n",
    "plt.legend(title='Product Category')\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "berikut adalah grafik pendapatan stiap bulan pendapatan tertinggiterdapat pada bulan mei dengan pendapatan total  53.150$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Month\n",
      "2023-01    35450\n",
      "2023-02    44060\n",
      "2023-03    28990\n",
      "2023-04    33870\n",
      "2023-05    53150\n",
      "2023-06    36715\n",
      "2023-07    35465\n",
      "2023-08    36960\n",
      "2023-09    23620\n",
      "2023-10    46580\n",
      "2023-11    34920\n",
      "2023-12    44690\n",
      "2024-01     1530\n",
      "Freq: M, Name: Total Amount, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mengubah kolom 'Date' menjadi tipe data datetime\n",
    "df['Date'] = pd.to_datetime(df['Date'])\n",
    "\n",
    "# Menambahkan kolom 'Month' untuk bulan dan tahun\n",
    "df['Month'] = df['Date'].dt.to_period('M')\n",
    "\n",
    "# Menghitung total pendapatan untuk setiap bulan\n",
    "monthly_revenue = df.groupby('Month')['Total Amount'].sum()\n",
    "\n",
    "# Menampilkan hasil\n",
    "print(monthly_revenue)\n",
    "\n",
    "# Plotting the monthly revenue using a line plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "monthly_revenue.plot(kind='line', marker='o', color='skyblue')\n",
    "plt.title('Monthly Revenue')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Total Revenue')\n",
    "plt.xticks(rotation=45)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "berikut adalah rentang usia dengan pemebelian kategori barang terbanyak ,seperti yang saya jelaskan di atas pembelian terbanyak terdapat pada usia 40-55\n",
    "dengan rincian total pembelian clothing 337 , beauty 268, electronics 305"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Product Category Age Group  Quantity\n",
      "0            Beauty      0-19        24\n",
      "1            Beauty     20-29       177\n",
      "2            Beauty     30-39       159\n",
      "3            Beauty     40-55       268\n",
      "4            Beauty     56-65       143\n",
      "5            Beauty      65++         0\n",
      "6          Clothing      0-19        19\n",
      "7          Clothing     20-29       178\n",
      "8          Clothing     30-39       171\n",
      "9          Clothing     40-55       337\n",
      "10         Clothing     56-65       189\n",
      "11         Clothing      65++         0\n",
      "12      Electronics      0-19        11\n",
      "13      Electronics     20-29       174\n",
      "14      Electronics     30-39       176\n",
      "15      Electronics     40-55       305\n",
      "16      Electronics     56-65       183\n",
      "17      Electronics      65++         0\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Age Group'] = pd.cut(df['Age'], bins=bins, labels=labels, right=False)\n",
    "\n",
    "# Menghitung jumlah total pembelian untuk setiap kelompok kategori produk dan rentang usia\n",
    "grouped_data = df.groupby(['Product Category', 'Age Group'])['Quantity'].sum().reset_index()\n",
    "\n",
    "print(grouped_data)\n",
    "\n",
    "# Membuat plot\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "grouped_data.pivot(index='Age Group', columns='Product Category', values='Quantity').plot(kind='bar', ax=ax)\n",
    "plt.title('Total Quantity Purchased by Age Group and Product Category')\n",
    "plt.xlabel('Age Group')\n",
    "plt.ylabel('Total Quantity Purchased')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "berikut adalah rentang usia dengan pengeluaran terbanyak ,seperti yang saya jelaskan di atas pembelian terbanyak terdapat pada usia 40-55 \n",
    "dengan rincian beauty 52.080 dolar, clothing 48015 dolar, electronics 50830"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Product Category Age Group  Total Amount\n",
      "0            Beauty      0-19          4960\n",
      "1            Beauty     20-29         33250\n",
      "2            Beauty     30-39         32555\n",
      "3            Beauty     40-55         52080\n",
      "4            Beauty     56-65         20670\n",
      "5            Beauty      65++             0\n",
      "6          Clothing      0-19          4085\n",
      "7          Clothing     20-29         39565\n",
      "8          Clothing     30-39         32605\n",
      "9          Clothing     40-55         48015\n",
      "10         Clothing     56-65         31310\n",
      "11         Clothing      65++             0\n",
      "12      Electronics      0-19          2170\n",
      "13      Electronics     20-29         32555\n",
      "14      Electronics     30-39         33140\n",
      "15      Electronics     40-55         50830\n",
      "16      Electronics     56-65         38210\n",
      "17      Electronics      65++             0\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Age Group'] = pd.cut(df['Age'], bins=bins, labels=labels, right=False)\n",
    "\n",
    "# Menghitung jumlah total pembelian untuk setiap kelompok kategori produk dan rentang usia\n",
    "grouped_data_amount = df.groupby(['Product Category', 'Age Group'])['Total Amount'].sum().reset_index()\n",
    "print(grouped_data_amount)\n",
    "\n",
    "# Membuat plot\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "grouped_data_amount.pivot(index='Age Group', columns='Product Category', values='Total Amount').plot(kind='bar', ax=ax)\n",
    "plt.title('Total Quantity Purchased by Age Group and Product Category')\n",
    "plt.xlabel('Age Group')\n",
    "plt.ylabel('Total Quantity Purchased')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "berikut adalah jumlah barang yang di beli olaeh setiap gender dengan rincian\n",
    "           Beauty  Female       418\n",
    "           Beauty    Male       353\n",
    "         Clothing  Female       441\n",
    "         Clothing    Male       453\n",
    "      Electronics  Female       439\n",
    "      Electronics    Male       410\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Product Category  Gender  Quantity\n",
      "0           Beauty  Female       418\n",
      "1           Beauty    Male       353\n",
      "2         Clothing  Female       441\n",
      "3         Clothing    Male       453\n",
      "4      Electronics  Female       439\n",
      "5      Electronics    Male       410\n"
     ]
    },
    {
     "data": {
      "image/png": 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iNGnSxDotJibGkGTce++9xvXr123WO2LECMPV1dW4ePGidVpCQoLh5OSU49cSgHk4vRxAvvn222/l6OiowYMH20x/7rnnZBiGvvvuu1uu4+/XJ167dk3nzp1TeHi4fH19tXv3brvquXTpkiRlezrt32XOz2xvj7/Xm5iYqLNnz6pp06b6448/lJiYaNO2SpUqNj3ufn5+qlixoimjRvfs2VPbt2+39pZJN3pIQkJC1LRp0xyto2LFivLz81NYWJiefvpphYeH65tvvrH7bINM0dHRNq/Xzz//rKNHj2ro0KHy9fW1aZvdQG3PPPOMzfP77rsvy2v39/VfuHBBiYmJuu+++2yOncxtLV++XBkZGdnW+tlnn6ly5cqqVKmSzp49a31knmK/bt06STeOeUlZjnl7B2vq2bOnzXH68MMPKygoyLr+zDa5eU8zT7XO7rZrZcuWlZ+fn/Xx1VdfSZJiY2N16NAhdevWTefOnbPuf0pKiiIjI/Xjjz9mee2ye3/OnTtn3X5OXyvDMLR06VK1b99ehmHYvP5RUVFKTEzM8rvgn8fWv8nJMZKpRYsW1rNwpBs9tN7e3tbjLj09XatWrVKnTp1UunRpa7vKlSsrKioqR/VINy7LyXwPwsPD9fLLLysiIiLL6cVhYWFZ1vvtt9+qfv36uvfee63TvLy89NRTTykuLs56h4Zvv/1WQUFBNj3IHh4e1rONcmPp0qUqUaKEBg0alGVebgdbTEpKuuXv7L/7+/t56dIlnT17Vvfdd58uX76s33777ZbL5/SznnlZQf/+/W2W/+e+p6ena/Xq1erUqZPKli1rnR4UFKRu3bpp06ZNWS5/6Nu3b5ZLO3r27KnU1FSbSx+WLFmi69ev39XjqAD/FYRuAPnm2LFjCg4OzvIHU+bp0ceOHbvlOq5cuaKRI0darwkvUaKE/Pz8dPHixSwh9lZyGqYvXboki8ViHTTMHps3b1aLFi3k6ekpX19f+fn5Wa8N/me9f/+jPFPRokV14cIFu7d7K48++qhcXV21cOFCay0rVqxQ9+7dc/zH8NKlS7VmzRqtX79ehw8f1q+//modRTg3/jlQXWZ4rFat2i2XdXNzy3JNfnav3YoVK9SwYUO5ubmpWLFi8vPz0/Tp023ei0cffVSNGzfWk08+qYCAAHXt2lWffvqpTYg8dOiQ9u3bZxNI/fz8VKFCBUlSQkKCpBvHtIODg00wk278w8Ie5cuXt3lusVgUHh5uM5ZBbt/TzM9BcnJylnnLly/XmjVr9O6779pMP3TokKQbYfafr8GsWbOUmpp6y+O7aNGikmR9j3L6Wp05c0YXL160jsPw90fv3r0l/d/rn8meQRBzcozcbJ8y9ytzn86cOaMrV65kef+y269/4+bmpjVr1mjNmjX68ccfdeLECW3evNkmtEnZ7+exY8ey3dY/f+8eO3ZM4eHhWY4Ve4/Vvzty5IgqVqwoJ6e8u7rR29vbrn+A7tu3Tw8++KB8fHzk7e0tPz8/ayjNyXeGvZ/1f74H4eHhNs/PnDmjy5cv3/Q9ycjIsBmvQcr+fa1UqZLq1atn/bxLN/7J1rBhwyzbBHDncU03gAJt0KBBiomJ0dChQxURESEfHx9ZLBZ17dr1pr2SN+Pj46Pg4GD98ssv/9rul19+UalSpazXgd4swPxz0K4jR44oMjJSlSpV0sSJExUSEiIXFxd9++23eu+997LUe7NbMRl/G2QurxQtWlTt2rXTwoULNXLkSH3++edKTU21q4ekSZMm//qPiH97nbLb19sZZTknt7HauHGjOnTooCZNmmjatGkKCgqSs7OzYmJitGjRIps6fvzxR61bt07ffPONVq5cqSVLlqh58+ZavXq1HB0dlZGRoerVq2vixInZbiskJCTX+5JbuX1Pw8PD5eTkpF9//TXLvMwe8n+Gpsxj95133rnp7ej+2XOeV8d35rYff/xxRUdHZ9vmn9cE5/TYyukxkulOfWYdHR3VokWLW7a7UyOV2/vZzkuVKlVSbGys0tLSbnnHhosXL6pp06by9vbWmDFjVK5cObm5uWn37t168cUXc/SdcTd81m/2vvbs2VNDhgzRn3/+qdTUVG3btk1TpkwxvR4At0boBpBvypQpo++//16XLl2y6e3OPMWvTJky1mk3+6Pu888/V3R0tCZMmGCddvXqVV28eDFXNbVv314zZszQpk2bbE6/zLRx40bFxcVp2LBh1mlFixbNdnv/7Kn/+uuvlZqaqq+++sqmRyzzdMTcsOeUzFu17dmzpzp27KidO3dq4cKFql27tqpWrZrr2v7p316nf/bQZSezxzNzwKXbtXTpUrm5uWnVqlVydXW1To+JicnS1sHBQZGRkYqMjNTEiRP1xhtv6JVXXtG6deuspxTv2bNHkZGR//o6lylTRhkZGdYev0wHDx60q/bMnuVMhmHo8OHDWcJlbt5TT09P6wBOJ0+eVMmSJW9ZT+Z74+3tnSfvjZTz1ypzZPP09PQ823Yme46RnPDz85O7u3uW90+y/xjIrTJlymS7rX/+3i1Tpox+/fVXGYZhc0xnt2xOP9vlypXT9u3bde3aNTk7O2dbn72nmbdv315bt27V0qVL9dhjj/1r2/Xr1+vcuXP64osv1KRJE+v0zDss5KQOez/rR48etTmz4fDhwzbt/Pz85OHhcdP3xMHBIcdBvmvXrho2bJg++eQTXblyRc7Oznr00UdztCwAc3F6OYB806ZNG6Wnp2f5T/x7770ni8Wi1q1bW6d5enpm+0edo6Njll6kDz74IEsvc04NHz5cHh4eevrpp3Xu3DmbeefPn9czzzwjb29vmxGhy5Urp8TERJse8lOnTmW5vjKzx+fv9SYmJub6D3hJ1vuz5uSfDLdq27p1a5UoUUJvvfWWNmzYkOfXAZYrV07btm1TWlqaddqKFSuynDp5M3Xq1FFYWJgmTZqUZR9y05Po6Ogoi8Vic6zExcXZjD4s3Xjf/ymzNzfzFkFdunTRyZMns70f8JUrV5SSkiJJ1mN68uTJNm0mTZpkV+3z5s2zOaX2888/16lTp2w+M5nby817OnLkSKWnp+vxxx/P9jTzf77edevWVbly5fTuu+9m2z67W5fdSk5fK0dHR3Xu3FlLly7Ntnc+N9v++7pzcozYs76oqCgtW7ZMx48ft04/cOCAVq1ales67dGmTRvt2LHD5hZSKSkp+uijjxQaGqoqVapY2/3111821whn3k7xn3L62e7cubPOnj2bbe9r5jGVOQZETv9x+swzzygoKEjPPfecfv/99yzzExIS9Prrr0vK/ndwWlpatnei8PT0zPZ085x+1jOvpf/nuj/44AOb546OjmrZsqWWL19uc3nI6dOntWjRIt17773y9vbOdt//qUSJEmrdurUWLFighQsXqlWrVrm6DApA3qOnG0C+ad++ve6//3698soriouLU82aNbV69WotX75cQ4cOtbmWs27duvr+++81ceJEBQcHKywsTA0aNFC7du00f/58+fj4qEqVKtq6dau+//77XN+mKjw8XPPmzdNjjz2m6tWrq0+fPgoLC1NcXJxmz56tCxcuaPHixTbX1HXt2lUvvviiHnzwQQ0ePFiXL1/W9OnTVaFCBZvBllq2bCkXFxe1b99eTz/9tJKTkzVz5kz5+/vr1KlTuaq3Vq1acnR01FtvvaXExES5urpa7wP+T+XKlZOvr68+/PBDFSlSRJ6enmrQoIF1X5ydndW1a1dNmTJFjo6Ot+w1steTTz6pzz//XK1atVKXLl105MgRLViwIMs1uzfj4OCg6dOnq3379qpVq5Z69+6toKAg/fbbb9q3b5/doaVt27aaOHGiWrVqpW7duikhIUFTp05VeHi4zT9QxowZox9//FFt27ZVmTJllJCQoGnTpqlUqVLWsyF69OihTz/9VM8884zWrVunxo0bKz09Xb/99ps+/fRT672Sa9Wqpccee0zTpk1TYmKiGjVqpLVr12bp/bqVYsWK6d5771Xv3r11+vRpTZo0SeHh4erbt69Nu9y+p/fdd5+mTJmiQYMGqXz58urevbsqVaqktLQ0/f7771q4cKFcXFwUGBgo6cZ7M2vWLLVu3VpVq1ZV7969VbJkSZ08eVLr1q2Tt7e3vv76a7v20Z7Xavz48Vq3bp0aNGigvn37qkqVKjp//rx2796t77//Ptt/nORETo8Re4wePVorV67Ufffdp/79++v69ev64IMPVLVq1Vyv0x4vvfSSPvnkE7Vu3VqDBw9WsWLFNHfuXB09elRLly6Vg8ON/pi+fftqypQp6tmzp3bt2qWgoCDNnz8/24ERc/rZ7tmzp+bNm6dhw4Zpx44duu+++5SSkqLvv/9e/fv3V8eOHeXu7q4qVapoyZIlqlChgooVK6Zq1arddCyHokWL6ssvv1SbNm1Uq1YtPf7449axJHbv3q1PPvnEerusRo0aqWjRooqOjtbgwYNlsVg0f/78bP9pV7duXS1ZskTDhg1TvXr15OXlpfbt2+f4s163bl117txZkyZN0rlz56y3DMv8x8Dfe8lff/11rVmzRvfee6/69+8vJycnzZgxQ6mpqXr77bften979uxpHfxu7Nixdi0LwET5MGI6gP+of94yzDBu3Krm2WefNYKDgw1nZ2ejfPnyxjvvvGNz2yHDMIzffvvNaNKkieHu7m5Ist6e5sKFC0bv3r2NEiVKGF5eXkZUVJTx22+/ZbmFTU5uGfZ3e/fuNbp162YEBgYaDg4OhiTDzc3N2LdvX7btV69ebVSrVs1wcXExKlasaCxYsCDbW4Z99dVXRo0aNQw3NzcjNDTUeOutt6y30Tl69Ki1XZkyZYy2bdtm2c4/b8FjGIYxc+ZMo2zZstZbDmXuY3Ztly9fblSpUsVwcnLK9vZhO3bsMCQZLVu2zNHrZBj/dwuof7ulVqYJEyYYJUuWNFxdXY3GjRsbP/30001vGfbZZ59lu45NmzYZDzzwgFGkSBHD09PTqFGjhs0tmTJvqXSzOv9u9uzZRvny5Q1XV1ejUqVKRkxMTJZ2a9euNTp27GgEBwcbLi4uRnBwsPHYY48Zv//+u8260tLSjLfeesuoWrWq4erqahQtWtSoW7euMXr0aCMxMdHa7sqVK8bgwYON4sWLG56enkb79u2NEydO2HXLsE8++cQYMWKE4e/vb7i7uxtt27a1uQXV3+XmPc30888/Gz179jRKly5tuLi4WF/v5557zubWWH9v/9BDDxnFixc3XF1djTJlyhhdunQx1q5da21zs+Ml83ZIf/8c2PNanT592hgwYIAREhJiODs7G4GBgUZkZKTx0UcfZXn9bnZsZScnx4hh3Lhl2IABA7Isn93ttDZs2GDUrVvXcHFxMcqWLWt8+OGH2a4zOzc7vrPbbna/QwzDMI4cOWI8/PDDhq+vr+Hm5mbUr1/fWLFiRZZ2x44dMzp06GB4eHgYJUqUMIYMGWKsXLky29+lOflsG8aNW3a98sorRlhYmPV9evjhh21ul7Vlyxbr65OTz4Vh3LjF1rPPPmtUqFDBcHNzMzw8PIy6desa48aNs/n8bd682WjYsKHh7u5uBAcHGy+88IKxatWqLPuUnJxsdOvWzfD19TUk2dw+LKef9ZSUFGPAgAFGsWLFDC8vL6NTp07GwYMHDUnG+PHjberfvXu3ERUVZXh5eRkeHh7G/fffb2zZssWmTeZnZOfOnTd9HVJTU42iRYsaPj4+xpUrV275ugG4MyyGYcKIPABQyMybN0+9evXS448/rnnz5uV3OabZs2ePatWqpXnz5qlHjx75XQ7yAO8pcPeIjY1V7dq1tWDBAnXv3j3P13/9+nUFBwerffv2mj17dp6vH0DucHo5AORAz549derUKb300ksqVaqU3njjjfwuyRQzZ86Ul5eXHnroofwuBXmE9xTIH1euXMky0vikSZPk4OBgM5BbXlq2bJnOnDmjnj17mrJ+ALlD6AaAHHrxxRf14osv5ncZpvj666+1f/9+ffTRRxo4cKB10DUUXLynQP56++23tWvXLt1///1ycnLSd999p++++05PPfVUnt9abPv27frll180duxY1a5d23p7PwB3B04vBwAoNDRUp0+fVlRUlObPn29zCzcUTLynQP5as2aNRo8erf379ys5OVmlS5dWjx499Morr2S51/3t6tWrlxYsWKBatWppzpw5Nx14DkD+IHQDAAAAAGAS7tMNAAAAAIBJCN0AAAAAAJiEgdQkZWRk6K+//lKRIkVksVjyuxwAAAAAwF3OMAxdunRJwcHBcnC4eX82oVvSX3/9leejSAIAAAAACr8TJ06oVKlSN51P6JasI7qeOHFC3t7e+VwNAAAAAOBul5SUpJCQkFveIYTQLVlPKff29iZ0AwAAAABy7FaXKDOQGgAAAAAAJiF0AwAAAABgEkI3AAAAAAAmIXQDAAAAAGASQjcAAAAAACYhdAMAAAAAYBJCNwAAAAAAJiF0AwAAAABgEkI3AAAAAAAmIXQDAAAAAGASQjcAAAAAACYhdAMAAAAAYBJCNwAAAAAAJiF0AwAAAABgEkI3AAAAAAAmIXQDAAAAAGASQjcAAAAAACYhdAMAAAAAYBJCNwAAAAAAJiF0AwAAAABgEkI3AAAAAAAmccrvAgAAAIC7ziif/K6g4BmVmN8VAHcleroBAAAAADAJoRsAAAAAAJMQugEAAAAAMAmhGwAAAAAAkxC6AQAAAAAwCaEbAAAAAACTELoBAAAAADAJoRsAAAAAAJMQugEAAAAAMAmhGwAAAAAAkxC6AQAAAAAwCaEbAAAAAACTOOV3AQDy0Sif/K6gYBmVmN8VAAAAoIChpxsAAAAAAJPQ0w0AOVR9bvX8LqHA2Ru9N79LAAAAyFf0dAMAAAAAYBJCNwAAAAAAJiF0AwAAAABgEkI3AAAAAAAmIXQDAAAAAGASQjcAAAAAACYhdAMAAAAAYBJCNwAAAAAAJiF0AwAAAABgEkI3AAAAAAAmIXQDAAAAAGASQjcAAAAAACYhdAMAAAAAYBJCNwAAAAAAJiF0AwAAAABgEkI3AAAAAAAmIXQDAAAAAGASQjcAAAAAACYhdAMAAAAAYBJCNwAAAAAAJiF0AwAAAABgEqf8LgDIS6EvfZPfJRQocW75XQEAAABQuNHTDQAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYxCm/CwAAAABQ8FWfWz2/SyhQ9kbvze8ScIfQ0w0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYhNANAAAAAIBJ7prQPX78eFksFg0dOtQ67erVqxowYICKFy8uLy8vde7cWadPn7ZZ7vjx42rbtq08PDzk7++v559/XtevX7/D1QMAAAAAkNVdEbp37typGTNmqEaNGjbTn332WX399df67LPPtGHDBv3111966KGHrPPT09PVtm1bpaWlacuWLZo7d67mzJmjkSNH3uldAAAAAAAgi3wP3cnJyerevbtmzpypokWLWqcnJiZq9uzZmjhxopo3b666desqJiZGW7Zs0bZt2yRJq1ev1v79+7VgwQLVqlVLrVu31tixYzV16lSlpaXl1y4BAAAAACDpLgjdAwYMUNu2bdWiRQub6bt27dK1a9dspleqVEmlS5fW1q1bJUlbt25V9erVFRAQYG0TFRWlpKQk7du3787sAAAAAAAAN+GUnxtfvHixdu/erZ07d2aZFx8fLxcXF/n6+tpMDwgIUHx8vLXN3wN35vzMeTeTmpqq1NRU6/OkpKTc7gIAAAAAADeVbz3dJ06c0JAhQ7Rw4UK5ubnd0W2/+eab8vHxsT5CQkLu6PYBAAAAAP8N+Ra6d+3apYSEBNWpU0dOTk5ycnLShg0bNHnyZDk5OSkgIEBpaWm6ePGizXKnT59WYGCgJCkwMDDLaOaZzzPbZGfEiBFKTEy0Pk6cOJG3OwcAAAAAgPIxdEdGRmrv3r2KjY21Pu655x51797d+rOzs7PWrl1rXebgwYM6fvy4IiIiJEkRERHau3evEhISrG3WrFkjb29vValS5abbdnV1lbe3t80DAAAAAIC8lm/XdBcpUkTVqlWzmebp6anixYtbp/fp00fDhg1TsWLF5O3trUGDBikiIkINGzaUJLVs2VJVqlRRjx499Pbbbys+Pl6vvvqqBgwYIFdX1zu+TwAAAAAA/F2+DqR2K++9954cHBzUuXNnpaamKioqStOmTbPOd3R01IoVK9SvXz9FRETI09NT0dHRGjNmTD5WDQAAAADADXdV6F6/fr3Nczc3N02dOlVTp0696TJlypTRt99+a3JlAAAAAADYL9/v0w0AAAAAQGFF6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAEzilN8FAAAAwHyhL32T3yUUKHFu+V0BgMKCnm4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkTjlplJSUlOMVent757oYAAAAAAAKkxyFbl9fX1kslhytMD09/bYKAgAAAACgsMhR6F63bp3157i4OL300kvq1auXIiIiJElbt27V3Llz9eabb5pTJQAAAAAABVCOQnfTpk2tP48ZM0YTJ07UY489Zp3WoUMHVa9eXR999JGio6PzvkoAAAAAAAoguwdS27p1q+65554s0++55x7t2LEjT4oCAAAAAKAwsDt0h4SEaObMmVmmz5o1SyEhIXlSFAAAAAAAhUGOTi//u/fee0+dO3fWd999pwYNGkiSduzYoUOHDmnp0qV5XiAAAAAAAAWV3T3dbdq00e+//6727dvr/PnzOn/+vNq3b6/ff/9dbdq0MaNGAAAAAAAKJLt7uqUbp5i/8cYbeV0LAAAAAACFit093ZK0ceNGPf7442rUqJFOnjwpSZo/f742bdqUp8UBAAAAAFCQ2R26ly5dqqioKLm7u2v37t1KTU2VJCUmJtL7DQAAAADA39gdul9//XV9+OGHmjlzppydna3TGzdurN27d+dpcQAAAAAAFGR2h+6DBw+qSZMmWab7+Pjo4sWLeVETAAAAAACFgt2hOzAwUIcPH84yfdOmTSpbtmyeFAUAAAAAQGFgd+ju27evhgwZou3bt8tiseivv/7SwoULNXz4cPXr18+MGgEAAAAAKJDsDt0vvfSSunXrpsjISCUnJ6tJkyZ68skn9fTTT2vQoEF2rWv69OmqUaOGvL295e3trYiICH333XfW+VevXtWAAQNUvHhxeXl5qXPnzjp9+rTNOo4fP662bdvKw8ND/v7+ev7553X9+nV7dwsAAAAAgDxnd+i2WCx65ZVXdP78ef3666/atm2bzpw5o7Fjx9q98VKlSmn8+PHatWuXfvrpJzVv3lwdO3bUvn37JEnPPvusvv76a3322WfasGGD/vrrLz300EPW5dPT09W2bVulpaVpy5Ytmjt3rubMmaORI0faXQsAAAAAAHktV/fpliQXFxdVqVJFlSpV0vfff68DBw7YvY727durTZs2Kl++vCpUqKBx48bJy8tL27ZtU2JiombPnq2JEyeqefPmqlu3rmJiYrRlyxZt27ZNkrR69Wrt379fCxYsUK1atdS6dWuNHTtWU6dOVVpaWm53DQAAAACAPGF36O7SpYumTJkiSbpy5Yrq1aunLl26qEaNGlq6dGmuC0lPT9fixYuVkpKiiIgI7dq1S9euXVOLFi2sbSpVqqTSpUtr69atkqStW7eqevXqCggIsLaJiopSUlKStbccAAAAAID8Ynfo/vHHH3XfffdJkr788ktlZGTo4sWLmjx5sl5//XW7C9i7d6+8vLzk6uqqZ555Rl9++aWqVKmi+Ph4ubi4yNfX16Z9QECA4uPjJUnx8fE2gTtzfua8m0lNTVVSUpLNAwAAAACAvGZ36E5MTFSxYsUkSStXrlTnzp3l4eGhtm3b6tChQ3YXULFiRcXGxmr79u3q16+foqOjtX//frvXY48333xTPj4+1kdISIip2wMAAAAA/DfZHbpDQkK0detWpaSkaOXKlWrZsqUk6cKFC3Jzc7O7ABcXF4WHh6tu3bp68803VbNmTb3//vsKDAxUWlqaLl68aNP+9OnTCgwMlHTjnuH/HM0883lmm+yMGDFCiYmJ1seJEyfsrhsAAAAAgFuxO3QPHTpU3bt3V6lSpRQcHKxmzZpJunHaefXq1W+7oIyMDKWmpqpu3bpydnbW2rVrrfMOHjyo48ePKyIiQpIUERGhvXv3KiEhwdpmzZo18vb2VpUqVW66DVdXV+ttyjIfAAAAAADkNSd7F+jfv78aNGig48eP64EHHpCDw43cXrZsWbuv6R4xYoRat26t0qVL69KlS1q0aJHWr1+vVatWycfHR3369NGwYcNUrFgxeXt7a9CgQYqIiFDDhg0lSS1btlSVKlXUo0cPvf3224qPj9err76qAQMGyNXV1d5dAwAAAAAgT9kduiWpbt26qlu3rs20tm3b2r2ehIQE9ezZU6dOnZKPj49q1KihVatW6YEHHpAkvffee3JwcFDnzp2VmpqqqKgoTZs2zbq8o6OjVqxYoX79+ikiIkKenp6Kjo7WmDFjcrNbAAAAAADkqVyF7j///FNfffWVjh8/nuV+2BMnTszxembPnv2v893c3DR16lRNnTr1pm3KlCmjb7/9NsfbBAAAAADgTrE7dK9du1YdOnRQ2bJl9dtvv6latWqKi4uTYRiqU6eOGTUCAAAAAFAg2T2Q2ogRIzR8+HDt3btXbm5uWrp0qU6cOKGmTZvqkUceMaNGAAAAAAAKJLtD94EDB9SzZ09JkpOTk65cuSIvLy+NGTNGb731Vp4XCAAAAABAQWV36Pb09LRexx0UFKQjR45Y5509ezbvKgMAAAAAoICz+5ruhg0batOmTapcubLatGmj5557Tnv37tUXX3xhvZUXAAAAAADIReieOHGikpOTJUmjR49WcnKylixZovLly9s1cjkAAAAAAIWd3aG7bNmy1p89PT314Ycf5mlBAAAAAAAUFrm6T7ckpaWlKSEhQRkZGTbTS5cufdtFAQAAAABQGNgdun///Xf16dNHW7ZssZluGIYsFovS09PzrDgAAAAAAAoyu0N379695eTkpBUrVigoKEgWi8WMugAAAAAAKPDsDt2xsbHatWuXKlWqZEY9AAAAAAAUGnbfp7tKlSrcjxsAAAAAgBzIUehOSkqyPt566y298MILWr9+vc6dO2czLykpyex6AQAAAAAoMHJ0ermvr6/NtduGYSgyMtKmDQOpAQAAAABgK0ehe926dWbXAQAAAABAoZOj0N20aVOz6wAAAAAAoNCxeyC1mJgYffbZZ1mmf/bZZ5o7d26eFAUAAAAAQGFgd+h+8803VaJEiSzT/f399cYbb+RJUQAAAAAAFAZ2h+7jx48rLCwsy/QyZcro+PHjeVIUAAAAAACFgd2h29/fX7/88kuW6Xv27FHx4sXzpCgAAAAAAAoDu0P3Y489psGDB2vdunVKT09Xenq6fvjhBw0ZMkRdu3Y1o0YAAAAAAAqkHI1e/ndjx45VXFycIiMj5eR0Y/GMjAz17NmTa7oBAAAAAPgbu0K3YRiKj4/XnDlz9Prrrys2Nlbu7u6qXr26ypQpY1aNAAAAAAAUSHaH7vDwcO3bt0/ly5dX+fLlzaoLAAAAAIACz65ruh0cHFS+fHmdO3fOrHoAAAAAACg07B5Ibfz48Xr++ef166+/mlEPAAAAAACFht0DqfXs2VOXL19WzZo15eLiInd3d5v558+fz7PiAAAAAAAoyOwO3ZMmTTKhDAAAAAAACh+7Q3d0dLQZdQAAAAAAUOjYHbqPHz/+r/NLly6d62IAAAAAAChM7A7doaGhslgsN52fnp5+WwUBAAAAAFBY2B26f/75Z5vn165d088//6yJEydq3LhxeVYYAAAAAAAFnd2hu2bNmlmm3XPPPQoODtY777yjhx56KE8KAwAAAACgoLP7Pt03U7FiRe3cuTOvVgcAAAAAQIFnd093UlKSzXPDMHTq1CmNGjVK5cuXz7PCAAAAAAAo6OwO3b6+vlkGUjMMQyEhIVq8eHGeFQYAAAAAQEFnd+het26dzXMHBwf5+fkpPDxcTk52rw4AAAAAgELLrpSclJSktLQ0paWlqX79+vLz8zOrLgAAAAAACrwch+7Y2Fi1adNGp0+flmEYKlKkiD799FNFRUWZWR8AAAAAAAVWjkcvf/HFFxUWFqZNmzZp165dioyM1MCBA82sDQAAAACAAi3HPd27du3S6tWrVadOHUnSxx9/rGLFiikpKUne3t6mFQgAAAAAQEGV457u8+fPq1SpUtbnvr6+8vT01Llz50wpDAAAAACAgs6ugdT279+v+Ph463PDMHTgwAFdunTJOq1GjRp5Vx0AAAAAAAWYXaE7MjJShmHYTGvXrp0sFosMw5DFYlF6enqeFggAAAAAQEGV49B99OhRM+sAAAAAAKDQyXHoLlOmjJl1AAAAAABQ6OR4IDUAAAAAAGAfQjcAAAAAACYhdAMAAAAAYBJCNwAAAAAAJrE7dL/22ms6duyYGbUAAAAAAFCo2B26ly9frnLlyikyMlKLFi1SamqqGXUBAAAAAFDg2R26Y2NjtXPnTlWtWlVDhgxRYGCg+vXrp507d5pRHwAAAAAABVaurumuXbu2Jk+erL/++kuzZ8/Wn3/+qcaNG6tGjRp6//33lZiYmNd1AgAAAABQ4NzWQGqGYejatWtKS0uTYRgqWrSopkyZopCQEC1ZsiSvagQAAAAAoEDKVejetWuXBg4cqKCgID377LOqXbu2Dhw4oA0bNujQoUMaN26cBg8enNe1AgAAAABQoNgduqtXr66GDRvq6NGjmj17tk6cOKHx48crPDzc2uaxxx7TmTNn8rRQAAAAAAAKGid7F+jSpYueeOIJlSxZ8qZtSpQooYyMjNsqDAAAAACAgs7unu7Ma7f/6cqVKxozZkyeFAUAAAAAQGFgd+gePXq0kpOTs0y/fPmyRo8enSdFAQAAAABQGOSqp9tisWSZvmfPHhUrVixPigIAAAAAoDDI8TXdRYsWlcVikcViUYUKFWyCd3p6upKTk/XMM8+YUiQAAAAAAAVRjkP3pEmTZBiGnnjiCY0ePVo+Pj7WeS4uLgoNDVVERIQpRQIAAAAAUBDlOHRHR0dLksLCwtSoUSM5OzubVhQAAAAAAIVBjkJ3UlKSvL29JUm1a9fWlStXdOXKlWzbZrYDAAAAAOC/Lkehu2jRojp16pT8/f3l6+ub7UBqmQOspaen53mRAAAAAAAURDkK3T/88IN1ZPJ169aZWhAAAAAAAIVFjkJ306ZNrT+HhYUpJCQkS2+3YRg6ceJE3lYHAAAAAEABZvd9usPCwnTmzJks08+fP6+wsLA8KQoAAAAAgMLA7tCdee32PyUnJ8vNzS1PigIAAAAAoDDI8S3Dhg0bJkmyWCz63//+Jw8PD+u89PR0bd++XbVq1crzAgEAAAAAKKhyHLp//vlnSTd6uvfu3SsXFxfrPBcXF9WsWVPDhw/P+woBAAAAACigchy6M0ct7927t95//33uxw0AAAAAwC3kOHRniomJMaMOAAAAAAAKHbtDd0pKisaPH6+1a9cqISFBGRkZNvP/+OOPPCsOAAAAAICCzO7Q/eSTT2rDhg3q0aOHgoKCsh3JHAAAAAAA5CJ0f/fdd/rmm2/UuHFjM+oBAAAAAKDQsPs+3UWLFlWxYsXMqAUAAAAAgELF7tA9duxYjRw5UpcvXzajHgAAAAAACg27Ty+fMGGCjhw5ooCAAIWGhsrZ2dlm/u7du/OsOAAAAAAACjK7Q3enTp1MKAMAAAAAgMLH7tD92muvmVEHAAAAAACFjt3XdAMAAAAAgJyxu6c7PT1d7733nj799FMdP35caWlpNvPPnz+fZ8UBAAAAAFCQ2d3TPXr0aE2cOFGPPvqoEhMTNWzYMD300ENycHDQqFGjTCgRAAAAAICCye7QvXDhQs2cOVPPPfecnJyc9Nhjj2nWrFkaOXKktm3bZkaNAAAAAAAUSHaH7vj4eFWvXl2S5OXlpcTERElSu3bt9M033+RtdQAAAAAAFGB2h+5SpUrp1KlTkqRy5cpp9erVkqSdO3fK1dU1b6sDAAAAAKAAszt0P/jgg1q7dq0kadCgQfrf//6n8uXLq2fPnnriiSfyvEAAAAAAAAoqu0cvHz9+vPXnRx99VKVLl9bWrVtVvnx5tW/fPk+LAwAAAACgILM7dP9TRESEIiIi8qIWAAAAAAAKFbtD97x58/51fs+ePXNdDAAAAAAAhYndoXvIkCE2z69du6bLly/LxcVFHh4ehG4AAAAAAP4/uwdSu3Dhgs0jOTlZBw8e1L333qtPPvnEjBoBAAAAACiQ7A7d2SlfvrzGjx+fpRccAAAAAID/sjwJ3ZLk5OSkv/76y65l3nzzTdWrV09FihSRv7+/OnXqpIMHD9q0uXr1qgYMGKDixYvLy8tLnTt31unTp23aHD9+XG3btpWHh4f8/f31/PPP6/r167e9TwAAAAAA3A67r+n+6quvbJ4bhqFTp05pypQpaty4sV3r2rBhgwYMGKB69erp+vXrevnll9WyZUvt379fnp6ekqRnn31W33zzjT777DP5+Pho4MCBeuihh7R582ZJUnp6utq2bavAwEBt2bJFp06dUs+ePeXs7Kw33njD3t0DAAAAACDP2B26O3XqZPPcYrHIz89PzZs314QJE+xa18qVK22ez5kzR/7+/tq1a5eaNGmixMREzZ49W4sWLVLz5s0lSTExMapcubK2bdumhg0bavXq1dq/f7++//57BQQEqFatWho7dqxefPFFjRo1Si4uLvbuIgAAAAAAecLu08szMjJsHunp6YqPj9eiRYsUFBR0W8UkJiZKkooVKyZJ2rVrl65du6YWLVpY21SqVEmlS5fW1q1bJUlbt25V9erVFRAQYG0TFRWlpKQk7du377bqAQAAAADgdtjd053p7NmzcnFxkbe3d54UkpGRoaFDh6px48aqVq2aJCk+Pl4uLi7y9fW1aRsQEKD4+Hhrm78H7sz5mfOyk5qaqtTUVOvzpKSkPNkHAAAAAAD+zq6e7osXL2rAgAEqUaKEAgICVLRoUQUGBmrEiBG6fPnybRUyYMAA/frrr1q8ePFtrScn3nzzTfn4+FgfISEhpm8TAAAAAPDfk+Oe7vPnzysiIkInT55U9+7dVblyZUnS/v379cEHH2jNmjXatGmTfvnlF23btk2DBw/OcREDBw7UihUr9OOPP6pUqVLW6YGBgUpLS9PFixdtertPnz6twMBAa5sdO3bYrC9zdPPMNv80YsQIDRs2zPo8KSmJ4A0AAAAAyHM5Dt1jxoyRi4uLjhw5kuV07jFjxqhly5bq0aOHVq9ercmTJ+donYZhaNCgQfryyy+1fv16hYWF2cyvW7eunJ2dtXbtWnXu3FmSdPDgQR0/flwRERGSpIiICI0bN04JCQny9/eXJK1Zs0be3t6qUqVKttt1dXWVq6trTncdAAAAAIBcyXHoXrZsmWbMmJElcEs3epTffvtttWnTRq+99pqio6NztM4BAwZo0aJFWr58uYoUKWK9BtvHx0fu7u7y8fFRnz59NGzYMBUrVkze3t4aNGiQIiIi1LBhQ0lSy5YtVaVKFfXo0UNvv/224uPj9eqrr2rAgAEEawAAAABAvspx6D516pSqVq160/nVqlWTg4ODXnvttRxvfPr06ZKkZs2a2UyPiYlRr169JEnvvfeeHBwc1LlzZ6WmpioqKkrTpk2ztnV0dNSKFSvUr18/RUREyNPTU9HR0RozZkyO6wAAAAAAwAw5Dt0lSpRQXFyczTXXf3f06FHr6d05ZRjGLdu4ublp6tSpmjp16k3blClTRt9++61d2wYAAAAAwGw5Hr08KipKr7zyitLS0rLMS01N1f/+9z+1atUqT4sDAAAAAKAgs2sgtXvuuUfly5fXgAEDVKlSJRmGoQMHDmjatGlKTU3VvHnzzKwVAAAAAIACJcehu1SpUtq6dav69++vESNGWE8Nt1gseuCBBzRlyhSVLl3atEIBAAAAAChochy6JSksLEzfffedLly4oEOHDkmSwsPDVaxYMVOKAwAAAACgILMrdGcqWrSo6tevn9e1AAAAAABQqOR4IDUAAAAAAGAfQjcAAAAAACYhdAMAAAAAYBJCNwAAAAAAJsnRQGpfffVVjlfYoUOHXBcDAAAAAEBhkqPQ3alTpxytzGKxKD09/XbqAQAAAACg0MhR6M7IyDC7DgAAAAAACh2u6QYAAAAAwCQ56un+p5SUFG3YsEHHjx9XWlqazbzBgwfnSWEAAAAAABR0dofun3/+WW3atNHly5eVkpKiYsWK6ezZs/Lw8JC/vz+hGwAAAACA/8/u08ufffZZtW/fXhcuXJC7u7u2bdumY8eOqW7dunr33XfNqBEAAAAAgALJ7tAdGxur5557Tg4ODnJ0dFRqaqpCQkL09ttv6+WXXzajRgAAAAAACiS7Q7ezs7McHG4s5u/vr+PHj0uSfHx8dOLEibytDgAAAACAAszua7pr166tnTt3qnz58mratKlGjhyps2fPav78+apWrZoZNQIAAAAAUCDZ3dP9xhtvKCgoSJI0btw4FS1aVP369dOZM2c0Y8aMPC8QAAAAAICCyu6e7nvuucf6s7+/v1auXJmnBQEAAAAAUFjY3dPdvHlzXbx4Mcv0pKQkNW/ePC9qAgAAAACgULA7dK9fv15paWlZpl+9elUbN27Mk6IAAAAAACgMcnx6+S+//GL9ef/+/YqPj7c+T09P18qVK1WyZMm8rQ4AAAAAgAIsx6G7Vq1aslgsslgs2Z5G7u7urg8++CBPiwMAAAAAoCDLceg+evSoDMNQ2bJltWPHDvn5+Vnnubi4yN/fX46OjqYUCQAAAABAQZTj0F2mTBlJUkZGhmnFAAAAAABQmNh9yzBJOnLkiCZNmqQDBw5IkqpUqaIhQ4aoXLlyeVocAAAAAAAFmd2jl69atUpVqlTRjh07VKNGDdWoUUPbt29X1apVtWbNGjNqBAAAAACgQLK7p/ull17Ss88+q/Hjx2eZ/uKLL+qBBx7Is+IAAAAAACjI7O7pPnDggPr06ZNl+hNPPKH9+/fnSVEAAAAAABQGdoduPz8/xcbGZpkeGxsrf3//vKgJAAAAAIBCIcenl48ZM0bDhw9X37599dRTT+mPP/5Qo0aNJEmbN2/WW2+9pWHDhplWKAAAAAAABU2OQ/fo0aP1zDPP6H//+5+KFCmiCRMmaMSIEZKk4OBgjRo1SoMHDzatUAAAAAAACpoch27DMCRJFotFzz77rJ599lldunRJklSkSBFzqgMAAAAAoACza/Ryi8Vi85ywDQAAAADAzdkVuitUqJAleP/T+fPnb6sgAAAAAAAKC7tC9+jRo+Xj42NWLQAAAAAAFCp2he6uXbtyWzAAAAAAAHIox/fpvtVp5QAAAAAAwFaOQ3fm6OUAAAAAACBncnx6eUZGhpl1AAAAAABQ6OS4pxsAAAAAANiH0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYJF9D948//qj27dsrODhYFotFy5Yts5lvGIZGjhypoKAgubu7q0WLFjp06JBNm/Pnz6t79+7y9vaWr6+v+vTpo+Tk5Du4FwAAAAAAZC9fQ3dKSopq1qypqVOnZjv/7bff1uTJk/Xhhx9q+/bt8vT0VFRUlK5evWpt0717d+3bt09r1qzRihUr9OOPP+qpp566U7sAAAAAAMBNOeXnxlu3bq3WrVtnO88wDE2aNEmvvvqqOnbsKEmaN2+eAgICtGzZMnXt2lUHDhzQypUrtXPnTt1zzz2SpA8++EBt2rTRu+++q+Dg4Du2LwAAAAAA/NNde0330aNHFR8frxYtWlin+fj4qEGDBtq6daskaevWrfL19bUGbklq0aKFHBwctH379jteMwAAAAAAf5evPd3/Jj4+XpIUEBBgMz0gIMA6Lz4+Xv7+/jbznZycVKxYMWub7KSmpio1NdX6PCkpKa/KBgAAAADA6q7t6TbTm2++KR8fH+sjJCQkv0sCAAAAABRCd23oDgwMlCSdPn3aZvrp06et8wIDA5WQkGAz//r16zp//ry1TXZGjBihxMRE6+PEiRN5XD0AAAAAAHdx6A4LC1NgYKDWrl1rnZaUlKTt27crIiJCkhQREaGLFy9q165d1jY//PCDMjIy1KBBg5uu29XVVd7e3jYPAAAAAADyWr5e052cnKzDhw9bnx89elSxsbEqVqyYSpcuraFDh+r1119X+fLlFRYWpv/9738KDg5Wp06dJEmVK1dWq1at1LdvX3344Ye6du2aBg4cqK5duzJyOQAAAAAg3+Vr6P7pp590//33W58PGzZMkhQdHa05c+bohRdeUEpKip566ildvHhR9957r1auXCk3NzfrMgsXLtTAgQMVGRkpBwcHde7cWZMnT77j+wIAAAAAwD/la+hu1qyZDMO46XyLxaIxY8ZozJgxN21TrFgxLVq0yIzyAAAAAAC4LXftNd0AAAAAABR0hG4AAAAAAExC6AYAAAAAwCSEbgAAAAAATJKvA6kBAFAQpKen69q1a/ldBvKJs7OzHB0d87sMAEABRegGAOAmDMNQfHy8Ll68mN+lIJ/5+voqMDBQFoslv0sBABQwhG4AAG4iM3D7+/vLw8ODwPUfZBiGLl++rISEBElSUFBQPlcEAChoCN0AAGQjPT3dGriLFy+e3+UgH7m7u0uSEhIS5O/vz6nmAAC7MJAaAADZyLyG28PDI58rwd0g8zjg2n4AgL0I3QAA/AtOKYfEcQAAyD1CNwAAd7FevXqpU6dO+V0GAADIJUI3AAB26tWrlywWiywWi1xcXBQeHq4xY8bo+vXr+V3aLc2ZM0e+vr45apuWlqa3335bNWvWlIeHh0qUKKHGjRsrJiYmx6dZx8XFyWKxKDY2NvdFAwBQgDGQGgAAudCqVSvFxMQoNTVV3377rQYMGCBnZ2eNGDEiS9u0tDS5uLjkQ5W5l5aWpqioKO3Zs0djx45V48aN5e3trW3btundd99V7dq1VatWrfwu024F8b0AABRs9HQDAJALrq6uCgwMVJkyZdSvXz+1aNFCX331laT/OyV83LhxCg4OVsWKFSVJe/fuVfPmzeXu7q7ixYvrqaeeUnJysnWd6enpGjZsmHx9fVW8eHG98MILMgzDZruhoaGaNGmSzbRatWpp1KhR1ucXL17U008/rYCAALm5ualatWpasWKF1q9fr969eysxMdHaU//35f5u0qRJ+vHHH7V27VoNGDBAtWrVUtmyZdWtWzdt375d5cuXlyStXLlS9957r7Xmdu3a6ciRI9b1hIWFSZJq164ti8WiZs2aWefNmjVLlStXlpubmypVqqRp06bZ1LBlyxbVqlVLbm5uuueee7Rs2bIsveYbNmxQ/fr15erqqqCgIL300ks2Zxw0a9ZMAwcO1NChQ1WiRAlFRUXpiSeeULt27Wy2de3aNfn7+2v27NnZvh4AAOQWPd0AAOQBd3d3nTt3zvp87dq18vb21po1ayRJKSkpioqKUkREhHbu3KmEhAQ9+eSTGjhwoObMmSNJmjBhgubMmaOPP/5YlStX1oQJE/Tll1+qefPmOa4jIyNDrVu31qVLl7RgwQKVK1dO+/fvl6Ojoxo1aqRJkyZp5MiROnjwoCTJy8sr2/UsXLhQLVq0UO3atbPMc3Z2lrOzs3W/hg0bpho1aig5OVkjR47Ugw8+qNjYWDk4OGjHjh2qX7++vv/+e1WtWtXay7xw4UKNHDlSU6ZMUe3atfXzzz+rb9++8vT0VHR0tJKSktS+fXu1adNGixYt0rFjxzR06FCbOk6ePKk2bdqoV69emjdvnn777Tf17dtXbm5uNv9MmDt3rvr166fNmzdLks6dO6cmTZro1KlT1vtur1ixQpcvX9ajjz6a49caAICcIHQDAHAbDMPQ2rVrtWrVKg0aNMg63dPTU7NmzbKGzJkzZ+rq1auaN2+ePD09JUlTpkxR+/bt9dZbbykgIECTJk3SiBEj9NBDD0mSPvzwQ61atcquer7//nvt2LFDBw4cUIUKFSRJZcuWtc738fGRxWJRYGDgv67n0KFDNr3SN9O5c2eb5x9//LH8/Py0f/9+VatWTX5+fpKk4sWL22zztdde04QJE6z7GhYWpv3792vGjBmKjo7WokWLZLFYNHPmTLm5ualKlSo6efKk+vbta13HtGnTFBISoilTpshisahSpUr666+/9OKLL2rkyJFycLhxQl/58uX19ttv29RZsWJFzZ8/Xy+88IIkKSYmRo888shN/wkBAEBucXo5AAC5sGLFCnl5ecnNzU2tW7fWo48+atO7Wr16dZtrhw8cOKCaNWtaA7ckNW7cWBkZGTp48KASExN16tQpNWjQwDrfyclJ99xzj111xcbGqlSpUtbAnVv/PK39Zg4dOqTHHntMZcuWlbe3t0JDQyVJx48fv+kyKSkpOnLkiPr06SMvLy/r4/XXX7eemn7w4EHVqFFDbm5u1uXq169vs54DBw4oIiLC5nZejRs3VnJysv7880/rtLp162ap4cknn1RMTIwk6fTp0/ruu+/0xBNP5GifAQCwBz3dAADkwv3336/p06fLxcVFwcHBcnKy/Ur9e7jOSw4ODlkC8d9HEnd3d8+T7VSoUEG//fbbLdu1b99eZcqU0cyZMxUcHKyMjAxVq1ZNaWlpN10m8zr2mTNn2vyTQZIcHR1vr/BsZPde9OzZUy+99JK2bt2qLVu2KCwsTPfdd1+ebxsAAHq6AQDIBU9PT4WHh6t06dJZAnd2KleurD179iglJcU6bfPmzXJwcFDFihXl4+OjoKAgbd++3Tr/+vXr2rVrl816/Pz8dOrUKevzpKQkHT161Pq8Ro0a+vPPP/X7779nW4eLi4vS09NvWW+3bt30/fff6+eff84y79q1a0pJSdG5c+d08OBBvfrqq4qMjFTlypV14cKFLNuTZLPNgIAABQcH648//lB4eLjNI3PgtYoVK2rv3r1KTU21Lrdz506bdVeuXFlbt261+SfE5s2bVaRIEZUqVepf96948eLq1KmTYmJiNGfOHPXu3fuWrwkAALlB6AYA4A7o3r273NzcFB0drV9//VXr1q3ToEGD1KNHDwUEBEiShgwZovHjx2vZsmX67bff1L9/f128eNFmPc2bN9f8+fO1ceNG7d27V9HR0Ta9w02bNlWTJk3UuXNnrVmzRkePHtV3332nlStXSrox+nlycrLWrl2rs2fP6vLly9nWO3ToUDVu3FiRkZGaOnWq9uzZoz/++EOffvqpGjZsqEOHDqlo0aIqXry4PvroIx0+fFg//PCDhg0bZrMef39/ubu7a+XKlTp9+rQSExMlSaNHj9abb76pyZMn6/fff9fevXsVExOjiRMnSroR+jMyMvTUU0/pwIEDWrVqld59911Jsp5O3r9/f504cUKDBg3Sb7/9puXLl+u1117TsGHDrNdz/5snn3xSc+fO1YEDBxQdHX3L9gAA5AahGwCAO8DDw0OrVq3S+fPnVa9ePT388MOKjIzUlClTrG2ee+459ejRQ9HR0YqIiFCRIkX04IMP2qxnxIgRatq0qdq1a6e2bduqU6dOKleunE2bpUuXql69enrsscdUpUoVvfDCC9ae5kaNGumZZ57Ro48+Kj8/vywDjGVydXXVmjVr9MILL2jGjBlq2LCh6tWrp8mTJ2vw4MGqVq2aHBwctHjxYu3atUvVqlXTs88+q3feecdmPU5OTpo8ebJmzJih4OBgdezYUdKNwDtr1izFxMSoevXqatq0qebMmWPt6fb29tbXX3+t2NhY1apVS6+88opGjhwpSdbrvEuWLKlvv/1WO3bsUM2aNfXMM8+oT58+evXVV3P0nrRo0UJBQUGKiopScHBwjpYBAMBeFiOnI6UUYklJSfLx8VFiYqK8vb3zuxzchtCXvsnvEgqUOLdu+V1CgVI9rHR+l1Dg7I3em98l5NrVq1d19OhRhYWF2QzmhfyzcOFC633G8+La9eTkZJUsWVIxMTHWUdRvpjAcD3xH2ofvSPvxPWmfgvwdiRtymiMZSA0AANyV5s2bp7Jly6pkyZLas2ePXnzxRXXp0uW2A3dGRobOnj2rCRMmyNfXVx06dMijigEAyIrQDQAA7krx8fEaOXKk4uPjFRQUpEceeUTjxo277fUeP35cYWFhKlWqlObMmZOjgfAAAMgtvmUAAMBd6YUXXtALL7yQ5+sNDQ3N8X3IAQC4XQykBgAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAUYr169ZLFYrE+ihcvrlatWumXX365o3WsX79eFotFFy9evKPbBQAgvznldwEAABRkoS99c8e2FTe+ba6Wa9WqlWJiYiRJ8fHxevXVV9WuXTsdP348L8sDAADZoKcbAIBCztXVVYGBgQoMDFStWrX00ksv6cSJEzpz5owk6cSJE+rSpYt8fX1VrFgxdezYUXFxcdbld+7cqQceeEAlSpSQj4+PmjZtqt27d1vnx8XFyWKxKDY21jrt4sWLslgsWr9+veLi4nT//fdLkooWLSqLxaJevXpp3rx5Kl68uFJTU23q7dSpk3r06GHeCwIAwB1E6AYA4D8kOTlZCxYsUHh4uIoXL65r164pKipKRYoU0caNG7V582Z5eXmpVatWSktLkyRdunRJ0dHR2rRpk7Zt26by5curTZs2unTpUo62GRISoqVLl0qSDh48qFOnTun999/XI488ovT0dH311VfWtgkJCfrmm2/0xBNP5P3OAwCQDzi9HACAQm7FihXy8vKSJKWkpCgoKEgrVqyQg4ODFi1apIyMDM2aNUsWi0WSFBMTI19fX61fv14tW7ZU8+bNbdb30UcfydfXVxs2bFC7du1uuX1HR0cVK1ZMkuTv7y9fX1/rvG7duikmJkaPPPKIJGnBggUqXbq0mjVrlgd7DgBA/qOnGwCAQu7+++9XbGysYmNjtWPHDkVFRal169Y6duyY9uzZo8OHD6tIkSLy8vKSl5eXihUrpqtXr+rIkSOSpNOnT6tv374qX768fHx85O3treTk5Dy5Jrxv375avXq1Tp48KUmaM2eOdfA3AAAKA3q6AQAo5Dw9PRUeHm59PmvWLPn4+GjmzJlKTk5W3bp1tXDhwizL+fn5SZKio6N17tw5vf/++ypTpoxcXV0VERFhPf3cweHG//ANw7Aue+3atRzVVrt2bdWsWVPz5s1Ty5YttW/fPn3zzZ0bnA4AALMRugEA+I+xWCxycHDQlStXVKdOHS1ZskT+/v7y9vbOtv3mzZs1bdo0tWnTRtKNgdfOnj1rnZ8Zzk+dOqXatWtLks2gapLk4uIiSUpPT8+y/ieffFKTJk3SyZMn1aJFC4WEhNz2PgIAcLfg9HIAAAq51NRUxcfHKz4+XgcOHNCgQYOUnJys9u3bq3v37ipRooQ6duyojRs36ujRo1q/fr0GDx6sP//8U5JUvnx5zZ8/XwcOHND27dvVvXt3ubu7W9fv7u6uhg0bavz48Tpw4IA2bNigV1991aaGMmXKyGKxaMWKFTpz5oySk5Ot87p166Y///xTM2fOZAA1AEChQ+gGAKCQW7lypYKCghQUFKQGDRpo586d+uyzz9SsWTN5eHjoxx9/VOnSpfXQQw+pcuXK6tOnj65evWrt+Z49e7YuXLigOnXqqEePHho8eLD8/f1ttvHxxx/r+vXrqlu3roYOHarXX3/dZn7JkiU1evRovfTSSwoICNDAgQOt83x8fNS5c2d5eXmpU6dOpr8eAADcSRbj7xdg/UclJSXJx8dHiYmJNz21DgVD6EtcB2iPOLdu+V1CgVI9rHR+l1Dg7I3em98l5NrVq1d19OhRhYWFyc3NLb/LKfQiIyNVtWpVTZ48Ob9LyVZhOB74jrQP35H243vSPgX5OxI35DRHck03AADINxcuXND69eu1fv16TZs2Lb/LAQAgzxG6AQBAvqldu7YuXLigt956SxUrVszvcgAAyHOEbgAAkG/i4uLyuwQAAEzFQGoAAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAPzHWSwWLVu27LbWERcXJ4vFotjY2Ju2mTNnjnx9fW9rOwAAFDSEbgAACrn4+HgNGjRIZcuWlaurq0JCQtS+fXutXbs2V+vr1auXOnXqZPdyjz76qH7//fdcbRMAgILKKb8LAACgQBvlcwe3lWj3InFxcWrcuLF8fX31zjvvqHr16rp27ZpWrVqlAQMG6LfffjOh0Oy5u7vL3d39jm0PAIC7AT3dAAAUYv3795fFYtGOHTvUuXNnVahQQVWrVtWwYcO0bdu2bJfZu3evmjdvLnd3dxUvXlxPPfWUkpOTJUmjRo3S3LlztXz5clksFlksFq1fv9667B9//KH7779fHh4eqlmzprZu3Wqd98/Ty0eNGqVatWpp/vz5Cg0NlY+Pj7p27apLly5Z21y6dEndu3eXp6engoKC9N5776lZs2YaOnRonr5OAACYhdANAEAhdf78ea1cuVIDBgyQp6dnlvnZXV+dkpKiqKgoFS1aVDt37tRnn32m77//XgMHDpQkDR8+XF26dFGrVq106tQpnTp1So0aNbIu/8orr2j48OGKjY1VhQoV9Nhjj+n69es3rfHIkSNatmyZVqxYoRUrVmjDhg0aP368df6wYcO0efNmffXVV1qzZo02btyo3bt338arAgDAncXp5QAAFFKHDx+WYRiqVKlSjpdZtGiRrl69qnnz5lmD+pQpU9S+fXu99dZbCggIkLu7u1JTUxUYGJhl+eHDh6tt27aSpNGjR6tq1ao6fPjwTWvIyMjQnDlzVKRIEUlSjx49tHbtWo0bN06XLl3S3LlztWjRIkVGRkqSYmJiFBwcbNfrAABAfqKnGwCAQsowDLuXOXDggGrWrGnTM964cWNlZGTo4MGDt1y+Ro0a1p+DgoIkSQkJCTdtHxoaag3cmctktv/jjz907do11a9f3zrfx8dHFStWzPkOAQCQzwjdAAAUUuXLl5fFYrmjg6U5Oztbf7ZYLJJu9GbnpH3mMv/WHgCAgobQDQBAIVWsWDFFRUVp6tSpSklJyTL/4sWLWaZVrlxZe/bssWm/efNmOTg4WHuYXVxclJ6eblrdmcqWLStnZ2ft3LnTOi0xMZHbjgEAChRCNwAAhdjUqVOVnp6u+vXra+nSpTp06JAOHDigyZMnKyIiIkv77t27y83NTdHR0fr111+1bt06DRo0SD169FBAQICkG6eE//LLLzp48KDOnj2ra9eumVJ7kSJFFB0dreeff17r1q3Tvn371KdPHzk4OFh70QEAuNsRugEAKMTKli2r3bt36/7779dzzz2natWq6YEHHtDatWs1ffr0LO09PDy0atUqnT9/XvXq1dPDDz+syMhITZkyxdqmb9++qlixou655x75+flp8+bNptU/ceJERUREqF27dmrRooUaN26sypUry83NzbRtAgCQlyxGbkZZKWSSkpLk4+OjxMREeXt753c5uA2hL32T3yUUKHFu3fK7hAKleljp/C6hwNkbvTe/S8i1q1ev6ujRowoLCyPg3UVSUlJUsmRJTZgwQX369Llj2y0MxwPfkfbhO9J+fE/apyB/R+KGnOZIbhkGAADuWj///LN+++031a9fX4mJiRozZowkqWPHjvlcGQAAOUPoBgAAd7V3331XBw8elIuLi+rWrauNGzeqRIkS+V0WAAA5QugGAAB3rdq1a2vXrl35XQYAALnGQGoAAAAAAJiE0A0AAAAAgEkI3QAAAAAAmITQDQAAAACASQjdAAAAAACYhNANAAAAAIBJCN0AAPyHWSwWLVu2LL/LyLVmzZpp6NCh+V0GAAA3xX26AQC4DdXnVr9j29obvdfuZXr16qW5c+dmmR4VFaWVK1fmRVk2LBaLvvzyS3Xq1CnP152dL774Qs7OzndkWwAA5AahGwCAQq5Vq1aKiYmxmebq6ppP1UhpaWlycXHJk3UVK1YsT9YDAIBZOL0cAIBCztXVVYGBgTaPokWLZtv2xIkT6tKli3x9fVWsWDF17NhRcXFxNm0+/vhjVa1aVa6urgoKCtLAgQMlSaGhoZKkBx98UBaLxfp81KhRqlWrlmbNmqWwsDC5ublJko4fP66OHTvKy8tL3t7e6tKli06fPm3dTuZy8+fPV2hoqHx8fNS1a1ddunTJ2uafp5enpqbqxRdfVEhIiFxdXRUeHq7Zs2dLki5cuKDu3bvLz89P7u7uKl++fJZ/RgAAkNcI3QAAQJJ07do1RUVFqUiRItq4caM2b94sLy8vtWrVSmlpaZKk6dOna8CAAXrqqae0d+9effXVVwoPD5ck7dy5U5IUExOjU6dOWZ9L0uHDh7V06VJ98cUXio2NVUZGhjp27Kjz589rw4YNWrNmjf744w89+uijNjUdOXJEy5Yt04oVK7RixQpt2LBB48ePv+k+9OzZU5988okmT56sAwcOaMaMGfLy8pIk/e9//9P+/fv13Xff6cCBA5o+fbpKlCiRp68hAAD/xOnlAAAUcitWrLAGz0wvv/yyXn75ZZtpS5YsUUZGhmbNmiWLxSLpRoD29fXV+vXr1bJlS73++ut67rnnNGTIEOty9erVkyT5+flJknx9fRUYGGiz7rS0NM2bN8/aZs2aNdq7d6+OHj2qkJAQSdK8efNUtWpV7dy507rOjIwMzZkzR0WKFJEk9ejRQ2vXrtW4ceOy7Ofvv/+uTz/9VGvWrFGLFi0kSWXLlrXOP378uGrXrq177rlH0v/1zAMAYCZCNwAAhdz999+v6dOn20zL7lroPXv26PDhw9aAm+nq1as6cuSIEhIS9NdffykyMtLuGsqUKWMN3JJ04MABhYSEWAO3JFWpUkW+vr46cOCANXSHhoba1BMUFKSEhIRstxEbGytHR0c1bdo02/n9+vVT586dtXv3brVs2VKdOnVSo0aN7N4XAADsQegGAKCQ8/T0tJ4C/m+Sk5NVt25dLVy4MMs8Pz8/OTjk/qo0T0/PXC33z5HJLRaLMjIysm3r7u7+r+tq3bq1jh07pm+//VZr1qxRZGSkBgwYoHfffTdXtQEAkBNc0w0AACRJderU0aFDh+Tv76/w8HCbh4+Pj4oUKaLQ0FCtXbv2putwdnZWenr6LbdVuXJlnThxQidOnLBO279/vy5evKgqVarkqv7q1asrIyNDGzZsuGkbPz8/RUdHa8GCBZo0aZI++uijXG0LAICcInQDAFDIpaamKj4+3uZx9uzZLO26d++uEiVKqGPHjtq4caOOHj2q9evXa/Dgwfrzzz8l3RhRfMKECZo8ebIOHTqk3bt364MPPrCuIzOUx8fH68KFCzetqUWLFqpevbq6d++u3bt3a8eOHerZs6eaNm1qvebaXqGhoYqOjtYTTzyhZcuWWev/9NNPJUkjR47U8uXLdfjwYe3bt08rVqxQ5cqVc7UtAAByitANAEAht3LlSgUFBdk87r333iztPDw89OOPP6p06dJ66KGHVLlyZfXp00dXr16Vt7e3JCk6OlqTJk3StGnTVLVqVbVr106HDh2yrmPChAlas2aNQkJCVLt27ZvWZLFYtHz5chUtWlRNmjRRixYtVLZsWS1ZsuS29nX69Ol6+OGH1b9/f1WqVEl9+/ZVSkqKJMnFxUUjRoxQjRo11KRJEzk6Omrx4sW3tT0AAG7FYhiGkd9F5LekpCT5+PgoMTHR+kcFCqbQl77J7xIKlDi3bvldQoFSPax0fpdQ4OyN3pvfJeTa1atXdfToUZv7SuO/qzAcD3xH2ofvSPvxPWmfgvwdiRtymiPp6QYAAAAAwCSEbgAAAAAATELoBgAAAADAJIRuAAAAAABMQugGAAAAAMAkhG4AAP4FN/mAxHEAAMg9QjcAANlwdnaWJF2+fDmfK8HdIPM4yDwuAADIKaf8LgAAgLuRo6OjfH19lZCQIEny8PCQxWLJ56pwpxmGocuXLyshIUG+vr5ydHTM75IAAAUMoRsAgJsIDAyUJGvwxn+Xr6+v9XgAAMAehG4AAG7CYrEoKChI/v7+unbtWn6Xg3zi7OxMDzcAINcKTeieOnWq3nnnHcXHx6tmzZr64IMPVL9+/fwuCwBQCDg6OhK6AABArhSKgdSWLFmiYcOG6bXXXtPu3btVs2ZNRUVFcTogAAAAACBfFYrQPXHiRPXt21e9e/dWlSpV9OGHH8rDw0Mff/xxfpcGAAAAAPgPK/ChOy0tTbt27VKLFi2s0xwcHNSiRQtt3bo1HysDAAAAAPzXFfhrus+ePav09HQFBATYTA8ICNBvv/2W7TKpqalKTU21Pk9MTJQkJSUlmVco7oiMVO6na48ki5HfJRQo6VfS87uEAoffq8Ddg+9I+/AdaT++J+3Dd2TBl/keGsa//74o8KE7N958802NHj06y/SQkJB8qAbIPz75XUCBcyC/CyhwfPpxlAEomPjtlRt8T9qD78jC49KlS/Lxufn7WeBDd4kSJeTo6KjTp0/bTD99+vRN76c5YsQIDRs2zPo8IyND58+fV/HixWWxWEytF8C/S0pKUkhIiE6cOCFvb+/8LgcAgLsG35HA3cUwDF26dEnBwcH/2q7Ah24XFxfVrVtXa9euVadOnSTdCNFr167VwIEDs13G1dVVrq6uNtN8fX1NrhSAPby9vfmDAgCAbPAdCdw9/q2HO1OBD92SNGzYMEVHR+uee+5R/fr1NWnSJKWkpKh37975XRoAAAAA4D+sUITuRx99VGfOnNHIkSMVHx+vWrVqaeXKlVkGVwMAAAAA4E4qFKFbkgYOHHjT08kBFByurq567bXXslwCAgDAfx3fkUDBZDFuNb45AAAAAADIFYf8LgAAAAAAgMKK0A0AAAAAgEkI3QAKhdDQUE2aNCm/ywAA4I6Ki4uTxWJRbGxsfpcC4CYI3QDs1qtXL1ksliyPw4cP53dpAADc9TK/R5955pks8wYMGCCLxaJevXrd+cIAmILQDSBXWrVqpVOnTtk8wsLC8rssAAAKhJCQEC1evFhXrlyxTrt69aoWLVqk0qVL52NlAPIaoRtArri6uiowMNDm4ejoqOXLl6tOnTpyc3NT2bJlNXr0aF2/ft26nMVi0YwZM9SuXTt5eHiocuXK2rp1qw4fPqxmzZrJ09NTjRo10pEjR6zLHDlyRB07dlRAQIC8vLxUr149ff/99/9a38WLF/Xkk0/Kz89P3t7eat68ufbs2WPa6wEAgD3q1KmjkJAQffHFF9ZpX3zxhUqXLq3atWtbp61cuVL33nuvfH19Vbx4cbVr187mOzI7v/76q1q3bi0vLy8FBASoR48eOnv2rGn7AuDfEboB5JmNGzeqZ8+eGjJkiPbv368ZM2Zozpw5GjdunE27sWPHqmfPnoqNjVWlSpXUrVs3Pf300xoxYoR++uknGYahgQMHWtsnJyerTZs2Wrt2rX7++We1atVK7du31/Hjx29ayyOPPKKEhAR999132rVrl+rUqaPIyEidP3/etP0HAMAeTzzxhGJiYqzPP/74Y/Xu3dumTUpKioYNG6affvpJa9eulYODgx588EFlZGRku86LFy+qefPmql27tn766SetXLlSp0+fVpcuXUzdFwD/wgAAO0VHRxuOjo6Gp6en9fHwww8bkZGRxhtvvGHTdv78+UZQUJD1uSTj1VdftT7funWrIcmYPXu2ddonn3xiuLm5/WsNVatWNT744APr8zJlyhjvvfeeYRiGsXHjRsPb29u4evWqzTLlypUzZsyYYff+AgCQl6Kjo42OHTsaCQkJhqurqxEXF2fExcUZbm5uxpkzZ4yOHTsa0dHR2S575swZQ5Kxd+9ewzAM4+jRo4Yk4+effzYMwzDGjh1rtGzZ0maZEydOGJKMgwcPmrlbAG7CKV8TP4AC6/7779f06dOtzz09PVWjRg1t3rzZpmc7PT1dV69e1eXLl+Xh4SFJqlGjhnV+QECAJKl69eo2065evaqkpCR5e3srOTlZo0aN0jfffKNTp07p+vXrunLlyk17uvfs2aPk5GQVL17cZvqVK1dueUoeAAB3ip+fn9q2bas5c+bIMAy1bdtWJUqUsGlz6NAhjRw5Utu3b9fZs2etPdzHjx9XtWrVsqxzz549Wrdunby8vLLMO3LkiCpUqGDOzgC4KUI3gFzx9PRUeHi4zbTk5GSNHj1aDz30UJb2bm5u1p+dnZ2tP1sslptOy/zDYvjw4VqzZo3effddhYeHy93dXQ8//LDS0tKyrS05OVlBQUFav359lnm+vr4520EAAO6AJ554wnpJ1dSpU7PMb9++vcqUKaOZM2cqODhYGRkZqlat2r9+B7Zv315vvfVWlnlBQUF5WzyAHCF0A8gzderU0cGDB7OE8du1efNm9erVSw8++KCkG39QxMXF/Wsd8fHxcnJyUmhoaJ7WAgBAXmrVqpXS0tJksVgUFRVlM+/cuXM6ePCgZs6cqfvuu0+StGnTpn9dX506dbR06VKFhobKyYk/9YG7AQOpAcgzI0eO1Lx58zR69Gjt27dPBw4c0OLFi/Xqq6/e1nrLly+vL774QrGxsdqzZ4+6det20wFkJKlFixaKiIhQp06dtHr1asXFxWnLli165ZVX9NNPP91WLQAA5CVHR0cdOHBA+/fvl6Ojo828okWLqnjx4vroo490+PBh/fDDDxo2bNi/rm/AgAE6f/68HnvsMe3cuVNHjhzRqlWr1Lt3b6Wnp5u5KwBugtANIM9ERUVpxYoVWr16terVq6eGDRvqvffeU5kyZW5rvRMnTlTRokXVqFEjtW/fXlFRUapTp85N21ssFn377bdq0qSJevfurQoVKqhr1646duyY9RpyAADuFt7e3vL29s4y3cHBQYsXL9auXbtUrVo1Pfvss3rnnXf+dV3BwcHavHmz0tPT1bJlS1WvXl1Dhw6Vr6+vHBz40x/IDxbDMIz8LgIAAAAAgMKIf3cBAAAAAGASQjcAAAAAACYhdAMAAAAAYBJCNwAAAAAAJiF0AwAAAABgEkI3AAAAAAAmIXQDAAAAAGASQjcAAAAAACYhdAMAgNvSrFkzDR06NL/LAADgrkToBgCgEIiPj9eQIUMUHh4uNzc3BQQEqHHjxpo+fbouX76c3+UBAPCf5ZTfBQAAgNvzxx9/qHHjxvL19dUbb7yh6tWry9XVVXv37tVHH32kkiVLqkOHDvld5k2lp6fLYrHIwYG+AABA4cO3GwAABVz//v3l5OSkn376SV26dFHlypVVtmxZdezYUd98843at28vSbp48aKefPJJ+fn5ydvbW82bN9eePXus6xk1apRq1aql+fPnKzQ0VD4+PuratasuXbpkbZOSkqKePXvKy8tLQUFBmjBhQpZ6UlNTNXz4cJUsWVKenp5q0KCB1q9fb50/Z84c+fr66quvvlKVKlXk6uqq48ePm/cCAQCQjwjdAAAUYOfOndPq1as1YMAAeXp6ZtvGYrFIkh555BElJCTou+++065du1SnTh1FRkbq/Pnz1rZHjhzRsmXLtGLFCq1YsUIbNmzQ+PHjrfOff/55bdiwQcuXL9fq1au1fv167d6922Z7AwcO1NatW7V48WL98ssveuSRR9SqVSsdOnTI2uby5ct66623NGvWLO3bt0/+/v55+bIAAHDX4PRyAAAKsMOHD8swDFWsWNFmeokSJXT16lVJ0oABA9S+fXvt2LFDCQkJcnV1lSS9++67WrZsmT7//HM99dRTkqSMjAzNmTNHRYoUkST16NFDa9eu1bhx45ScnKzZs2drwYIFioyMlCTNnTtXpUqVsm73+PHjiomJ0fHjxxUcHCxJGj58uFauXKmYmBi98cYbkqRr165p2rRpqlmzpomvDgAA+Y/QDQBAIbRjxw5lZGSoe/fuSk1N1Z49e5ScnKzixYvbtLty5YqOHDlifR4aGmoN3JIUFBSkhIQESTd6wdPS0tSgQQPr/GLFitkE/r179yo9PV0VKlSw2U5qaqrNtl1cXFSjRo282VkAAO5ihG4AAAqw8PBwWSwWHTx40GZ62bJlJUnu7u6SpOTkZAUFBdlcW53J19fX+rOzs7PNPIvFooyMjBzXk5ycLEdHR+3atUuOjo4287y8vKw/u7u7W097BwCgMCN0AwBQgBUvXlwPPPCApkyZokGDBt30uu46deooPj5eTk5OCg0NzdW2ypUrJ2dnZ23fvl2lS5eWJF24cEG///67mjZtKkmqXbu20tPTlZCQoPvuuy9X2wEAoDBhIDUAAAq4adOm6fr167rnnnu0ZMkSHThwQAcPHtSCBQv022+/ydHRUS1atFBERIQ6deqk1atXKy4uTlu2bNErr7yin376KUfb8fLyUp8+ffT888/rhx9+0K+//qpevXrZ3OqrQoUK6t69u3r27KkvvvhCR48e1Y4dO/Tmm2/qm2++MeslAADgrkVPNwAABVy5cuX0888/64033tCIESP0559/ytXVVVWqVNHw4cPVv39/WSwWffvtt3rllVfUu3dvnTlzRoGBgWrSpIkCAgJyvK133nlHycnJat++vYoUKaLnnntOiYmJNm1iYmL0+uuv67nnntPJkydVokQJNWzYUO3atcvrXQcA4K5nMQzDyO8iAAAAAAAojDi9HAAAAAAAkxC6AQAAAAAwCaEbAAAAAACTELoBAAAAADAJoRsAAAAAAJMQugEAAAAAMAmhGwAAAAAAkxC6AQAAAAAwCaEbAAAAAACTELoBAAAAADAJoRsAAAAAAJMQugEAAAAAMMn/A37+dAEaBkmGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mengelompokkan data berdasarkan kategori produk dan jenis kelamin\n",
    "grouped_gender_data = df.groupby(['Product Category', 'Gender'])['Quantity'].sum().reset_index()\n",
    "\n",
    "print(grouped_gender_data)\n",
    "\n",
    "# Membuat plot\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "grouped_gender_data.pivot(index='Gender', columns='Product Category', values='Quantity').plot(kind='bar', ax=ax)\n",
    "plt.title('Total Quantity Purchased by Gender and Product Category')\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Total Quantity Purchased')\n",
    "plt.xticks(rotation=0)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "berikut adalah jumlah pengeluaran yang dikeluarkan oleh setiap gender dengan rincian\n",
    "          Product Category  Gender  Total Amount\n",
    "           Beauty  Female         74830\n",
    "           Beauty    Male         68685\n",
    "         Clothing  Female         81275\n",
    "         Clothing    Male         74305\n",
    "      Electronics  Female         76735\n",
    "      Electronics    Male         80170"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Product Category  Gender  Total Amount\n",
      "0           Beauty  Female         74830\n",
      "1           Beauty    Male         68685\n",
      "2         Clothing  Female         81275\n",
      "3         Clothing    Male         74305\n",
      "4      Electronics  Female         76735\n",
      "5      Electronics    Male         80170\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mengelompokkan data berdasarkan kategori produk dan jenis kelamin\n",
    "grouped_gender_data_bayar = df.groupby(['Product Category', 'Gender'])['Total Amount'].sum().reset_index()\n",
    "print(grouped_gender_data_bayar)\n",
    "\n",
    "# Membuat plot\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "grouped_gender_data_bayar.pivot(index='Gender', columns='Product Category', values='Total Amount').plot(kind='bar', ax=ax)\n",
    "plt.title('Total Quantity Purchased by Gender and Product Category')\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Total Quantity Purchased')\n",
    "plt.xticks(rotation=0)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}