calculate_results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
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    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        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>Tony's Chocolonely (40-50%)</th>\n",
       "      <th>Ghirardelli (40-50%)</th>\n",
       "      <th>Endangered Species (40-50%)</th>\n",
       "      <th>Liquor Chocolate</th>\n",
       "      <th>Equal Exchange (92%)</th>\n",
       "      <th>Beyond Good (70%)</th>\n",
       "      <th>Lindt (30%)</th>\n",
       "      <th>Fresh Thyme (40-50%)</th>\n",
       "      <th>Cafe Decker (30%)</th>\n",
       "      <th>Lily's Creamy Milk (30%)</th>\n",
       "      <th>Chocolove (30%)</th>\n",
       "      <th>Tony's Chocolonely (70%)</th>\n",
       "      <th>Lindt (70%)</th>\n",
       "      <th>Mr Beast (40-50%)</th>\n",
       "      <th>Tony's Chocolonely (30%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ege</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Abby</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Kaitlin</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Monica</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Haewoon</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Name  Tony's Chocolonely (40-50%)  Ghirardelli (40-50%)  \\\n",
       "0      Ege                          4.0                   2.0   \n",
       "1     Abby                          NaN                   2.0   \n",
       "2  Kaitlin                          5.0                   5.0   \n",
       "3   Monica                          NaN                   NaN   \n",
       "4  Haewoon                          1.0                  -1.0   \n",
       "\n",
       "   Endangered Species (40-50%)  Liquor Chocolate  Equal Exchange (92%)  \\\n",
       "0                         -3.0               NaN                    -5   \n",
       "1                          NaN               NaN                    -3   \n",
       "2                          NaN               5.0                     1   \n",
       "3                          NaN               NaN                     3   \n",
       "4                          2.0              -2.0                    -3   \n",
       "\n",
       "   Beyond Good (70%)  Lindt (30%)  Fresh Thyme (40-50%)  Cafe Decker (30%)  \\\n",
       "0               -4.0          2.0                  -5.0               -4.0   \n",
       "1                1.0          NaN                   NaN                NaN   \n",
       "2                NaN          NaN                   NaN                NaN   \n",
       "3                5.0          NaN                   4.0                NaN   \n",
       "4                0.0         -1.0                  -1.0               -1.0   \n",
       "\n",
       "   Lily's Creamy Milk (30%)  Chocolove (30%)  Tony's Chocolonely (70%)  \\\n",
       "0                       4.0              5.0                      -1.0   \n",
       "1                       2.0              2.0                       NaN   \n",
       "2                       NaN              NaN                       NaN   \n",
       "3                       NaN              NaN                       NaN   \n",
       "4                       1.0             -1.0                      -1.0   \n",
       "\n",
       "   Lindt (70%)  Mr Beast (40-50%)  Tony's Chocolonely (30%)  \n",
       "0          1.0                4.0                       5.0  \n",
       "1          3.0                2.0                       NaN  \n",
       "2          1.0                NaN                       NaN  \n",
       "3          NaN                NaN                       NaN  \n",
       "4          0.0                2.0                       4.0  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Read the CSV file into a DataFrame\n",
    "df = pd.read_csv('responses.csv')\n",
    "\n",
    "# Display the first few rows of the DataFrame\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>Tony's Chocolonely (40-50%)</th>\n",
       "      <th>Ghirardelli (40-50%)</th>\n",
       "      <th>Endangered Species (40-50%)</th>\n",
       "      <th>Liquor Chocolate</th>\n",
       "      <th>Equal Exchange (92%)</th>\n",
       "      <th>Beyond Good (70%)</th>\n",
       "      <th>Lindt (30%)</th>\n",
       "      <th>Fresh Thyme (40-50%)</th>\n",
       "      <th>Cafe Decker (30%)</th>\n",
       "      <th>Lily's Creamy Milk (30%)</th>\n",
       "      <th>Chocolove (30%)</th>\n",
       "      <th>Tony's Chocolonely (70%)</th>\n",
       "      <th>Lindt (70%)</th>\n",
       "      <th>Mr Beast (40-50%)</th>\n",
       "      <th>Tony's Chocolonely (30%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ege</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5</td>\n",
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       "      <td>2.0</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Abby</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Kaitlin</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Monica</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Haewoon</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Name  Tony's Chocolonely (40-50%)  Ghirardelli (40-50%)  \\\n",
       "0      Ege                          4.0                   2.0   \n",
       "1     Abby                          NaN                   2.0   \n",
       "2  Kaitlin                          5.0                   5.0   \n",
       "3   Monica                          NaN                   NaN   \n",
       "4  Haewoon                          1.0                  -1.0   \n",
       "\n",
       "   Endangered Species (40-50%)  Liquor Chocolate  Equal Exchange (92%)  \\\n",
       "0                         -3.0               NaN                    -5   \n",
       "1                          NaN               NaN                    -3   \n",
       "2                          NaN               5.0                     1   \n",
       "3                          NaN               NaN                     3   \n",
       "4                          2.0              -2.0                    -3   \n",
       "\n",
       "   Beyond Good (70%)  Lindt (30%)  Fresh Thyme (40-50%)  Cafe Decker (30%)  \\\n",
       "0               -4.0          2.0                  -5.0               -4.0   \n",
       "1                1.0          NaN                   NaN                NaN   \n",
       "2                NaN          NaN                   NaN                NaN   \n",
       "3                5.0          NaN                   4.0                NaN   \n",
       "4                0.0         -1.0                  -1.0               -1.0   \n",
       "\n",
       "   Lily's Creamy Milk (30%)  Chocolove (30%)  Tony's Chocolonely (70%)  \\\n",
       "0                       4.0              5.0                      -1.0   \n",
       "1                       2.0              2.0                       NaN   \n",
       "2                       NaN              NaN                       NaN   \n",
       "3                       NaN              NaN                       NaN   \n",
       "4                       1.0             -1.0                      -1.0   \n",
       "\n",
       "   Lindt (70%)  Mr Beast (40-50%)  Tony's Chocolonely (30%)  \n",
       "0          1.0                4.0                       5.0  \n",
       "1          3.0                2.0                       NaN  \n",
       "2          1.0                NaN                       NaN  \n",
       "3          NaN                NaN                       NaN  \n",
       "4          0.0                2.0                       4.0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert all columns except 'Name' to int, converting missing values to NaN\n",
    "df.iloc[:, 1:] = df.iloc[:, 1:].apply(pd.to_numeric, errors='coerce', downcast='integer')\n",
    "\n",
    "# Display the updated DataFrame\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.set_index('Name', inplace=True)\n",
    "df.to_csv('responses.csv', index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Sort columns by their median values\n",
    "sorted_columns = df.median().sort_values().index\n",
    "sorted_df = df[sorted_columns]\n",
    "\n",
    "# Plot a box plot using the spectral color scheme\n",
    "plt.figure(figsize=(12, 8))\n",
    "ax = sns.boxplot(data=sorted_df, palette='Spectral')\n",
    "ax.set_ylabel('Rating')\n",
    "ax.set_title('Rating Distributions')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter the DataFrame to include only columns with \"(30%)\" in their names\n",
    "chocolates_30_df = df.filter(like='(30%)')\n",
    "# Sort columns by their median values\n",
    "sorted_columns_30 = chocolates_30_df.median().sort_values().index\n",
    "chocolates_30_df = chocolates_30_df[sorted_columns_30]\n",
    "# Plot a box plot for the filtered DataFrame\n",
    "plt.figure(figsize=(12, 8))\n",
    "ax = sns.boxplot(data=chocolates_30_df, palette='Spectral')\n",
    "ax.set_ylabel('Rating')\n",
    "ax.set_title('Rating Distributions for Chocolates (30%)')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter the DataFrame to include only columns with \"40-50%\" in their names\n",
    "chocolates_40_50_df = df.filter(like='(40-50%)')\n",
    "# Sort columns by their median values\n",
    "sorted_columns_40_50 = chocolates_40_50_df.median().sort_values().index\n",
    "chocolates_40_50_df = chocolates_40_50_df[sorted_columns_40_50]\n",
    "# Plot a box plot for the filtered DataFrame\n",
    "plt.figure(figsize=(12, 8))\n",
    "ax = sns.boxplot(data=chocolates_40_50_df, palette='Spectral')\n",
    "ax.set_ylabel('Rating')\n",
    "ax.set_title('Rating Distributions for Chocolates (40-50%)')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1YsSIh3rPHTp0sNKkSfNQ6wJAYujWDgC609XT19dX2bNnV6NGjZQuXTr98MMP8bpXOjk52QdQstlsunTpkqKjo1WyZEnt3r37iV8/KCjIfrtIkSLy9PTU8ePHJUkxMTFat26dGjRoIH9/f/t6efLkUc2aNZ/otWPFdlmNiIi45zoZMmTQf//9l2h35YdVsWJFvfjiiw+9fpcuXeLd7tatmyTFa/lLDqtWrVKpUqVUrlw5+7L06dOrQ4cOOnnypP75559467dt29b+/ZD+79KI2M8wtpX0559/jtdl9nGtW7dOUVFReu+99+INZNe+fXt5enom6N7t5uamtm3bPvB5w8PDJSnR7uz307Rp03g9Te5+/2fOnNGff/6p4OBgeXt729crUqSIXn31VfvnabPZtGzZMtWtWzfRVt/YSzge9fOJK27L661btxQWFqZXXnlFkh5qW16yZIlsNpuaNGmisLAw+78sWbIob9689ktdnuQzv3jxYry/573MmTNHkhJ0ab9586akO5/73WIHuYxdp3Dhwjpy5Ih27NihI0eOaNGiRXJ0dFTPnj31xhtv6JVXXtGSJUv00ksvKTAwUB9//LEsy7pnTTExMVqzZo0aNGig3Llz25dnzZpVzZs316ZNm+zfs1jt27eXk5PTA9/v22+/LScnJzVp0kRbtmzRsWPHNHz4cC1dujTee0rM3LlzNX36dPXs2VN58+a1L/fw8NCvv/6qv//+W3/++af+/PNPBQQEaMKECYqMjNT777+vf/75R5UrV1ZAQIBatmyZoH7pTk+rmzdvJsn2DSB1IpwDgKSvv/5aa9eu1aJFi1SrVi2FhYUlelA7e/ZsFSlSRO7u7sqUKZN8fX21cuXKB14/+iCJdR/OmDGjLl++LEk6f/68bt68megozUk1eve1a9ck3T+U9enTR+nTp1epUqWUN29edenS5ZG7cT7qaM9xD6IlKSgoSI6OjvGu/U0Op06d0gsvvJBgeYECBez3x3X3ZxgbrGI/w8DAQPXo0UPTpk2Tj4+PXnvtNX399deP/d2Jff27a3R1dVXu3LkT1BcQEBDv5MG9xI7Wf7+TNIl50Pu/V73Snb9pWFiYrl+/rgsXLig8PFyFChW67+s96ucT16VLl9S9e3dlzpxZadKkka+vr/17+TCfx5EjR2RZlvLmzStfX994/w4cOKDz589LevLP/H4BOPb+uXPnqlChQgkunYk9AZHY3NuxYzbEPUnh7u6ukiVL2n9PNmzYoDVr1mjEiBE6dOiQmjVrpvfee08zZszQhAkT7jtv/IULF3Tjxo17fj42my3BtfkP+7tQpEgRzZ07V8eOHVPZsmWVJ08ejR07VmPGjJGke14X//vvv6tdu3Z67bXXNHTo0AT3Ozo66sUXX9RLL70kZ2dnhYWFafDgwRo9erQcHBxUp04dFS5cWMuXL9e///5rP0kYV+znxWjtAB4X4RwAdOcazGrVqumNN97QDz/8oEKFCql58+b2wCrdGfwpdq7p6dOn66efftLatWtVpUqVJ54j/F4tRg86OE9K+/fvl3T/sF+gQAEdOnRI8+bNU7ly5bR48WKVK1fOPmDZw0jsetFHkdiAeol52vNwP8xn+Pnnn+uvv/7Shx9+qJs3b+rdd99VwYIF9d9//yV7fQ/7d8+TJ4+cnZ21b9++R3r+Z+E7/LCaNGmiqVOnqmPHjlqyZInWrFljH5jwYbZlm80mBwcH+2/A3f/iznf9uJ95pkyZ7Cc27mXz5s06depUglZz6U4rtXSnx8Ldzpw5I29v70RPQEp3tp3u3burb9++CggI0IIFC1SmTBm1bdtWlStX1jvvvGNvsU8qj/K70KhRI4WGhuqPP/7Q1q1bderUKXsLfWLjZezdu1f16tVToUKFtGjRooeasnHgwIEqXry4GjRooG3btunMmTMaOXKkSpYsqSFDhmjevHkJviuXL19W2rRpn/g3DkDqxYBwAHAXJycnDR8+XJUrV9b48ePt85IvWrRIuXPn1pIlS+IFwruDaXK0mvj5+cnd3T3B6N+SEl32OL799ls5ODjcdzAlSUqXLp2aNm2qpk2bKioqSg0bNtTQoUPVr18/ubu7J/n7P3LkSLxWtaNHj8pms9kHD4ttob17hPLEWk4fpbacOXPq0KFDCZYfPHjQfv/jKFy4sAoXLqwBAwZoy5YtKlu2rCZNmqRPP/30kZ4n9vUPHToUr+twVFSUTpw48VCjfCcmbdq0qlKlijZs2KDTp08re/bsj/U896v3bgcPHpSPj4/SpUunNGnSyNPT036y6H7P9zifz+XLl7V+/XoNGTJEH330kX35kSNHEqx7r+9LUFCQLMtSYGDgPQdPjOtxPvP8+fNr8eLF933eOXPmyMHBIdG5twMCAuTr66udO3cmuC92AMt7mThxoiIiItSrVy9Jdwboi3s5jb+/v0JCQu75eF9fX6VNm/aen4+jo+MTf69cXV3jzem+bt06SUrwvT927Jhq1KghPz8/rVq16qFGnN+7d69mzJihXbt2Sbrz/jNmzGi/HMDf319RUVG6cOFCvIEVT5w4Ye+5AQCPg5ZzAEhEpUqVVKpUKY0ZM8beBTS2ZTBuS+D27du1devWeI+NHTX47rD4JJycnFStWjUtW7ZMoaGh9uVHjx7V6tWrn/j5R4wYoTVr1qhp06YJupHHFXeqKenOAfKLL74oy7J0+/ZtSXfCu5R07//rr7+Od3vcuHGSZL/W3tPTUz4+Pvrtt9/irTdhwoQEz/UotdWqVcveMhfr+vXrmjJlinLlyvVI181Ld67ljo6OjrescOHCcnR0TLTr8YNUq1ZNrq6uGjt2bLzv5PTp03X16lXVrl37kZ8z1qBBg2RZllq1ahWv90isXbt2afbs2Y/0nFmzZlXRokU1e/bseH///fv3a82aNapVq5akO92LGzRooB9//DHRYBn7Xh/380lsO5Zk7xYd172+Lw0bNpSTk5OGDBmS4Hksy7JvJ0/ymZcuXVqXL1+2X7N/t9u3b2vhwoUqV67cPUfVf+ONN7RixYp4XcjXr1+vw4cPq3Hjxok+5tKlSxo0aJBGjRplD6OZM2e2n/SQ7kxDliVLlnvW7uTkpOrVq2v58uXxLj85d+6c5s6dq3Llytkvn0gKR44c0aRJk1SnTp14J0vOnj2r6tWry9HRUT///PNDz2zRvXt3vf322/ZLKzJnzqwLFy7o0qVLku68f2dn53gjvkt3xiuIHeUdAB4HLecAcA8ffPCBGjdurFmzZqljx46qU6eOlixZotdff121a9fWiRMnNGnSJL344ovxAkyaNGn04osvav78+cqXL5+8vb1VqFChB15D+yCDBw/WmjVrVLZsWXXq1EkxMTEaP368ChUqpD///POhniM6OlrfffedpDvXnZ46dUo//PCD/vrrL1WuXFlTpky57+OrV6+uLFmyqGzZssqcObMOHDig8ePHq3bt2vZr1UuUKCFJ6t+/v5o1ayYXFxfVrVvXHnQe1YkTJ1SvXj3VqFFDW7du1XfffafmzZvrpZdesq/z9ttva8SIEXr77bdVsmRJ/fbbb4lOffQotfXt21fff/+9atasqXfffVfe3t6aPXu2Tpw4ocWLF8cbhO1hbNiwQV27dlXjxo2VL18+RUdH69tvv5WTk5PeeOONR/yr3Gmd7Nevn4YMGaIaNWqoXr16OnTokCZMmKCXX35ZLVu2fOTnjFWmTBl9/fXX6ty5s/Lnz69WrVopb968ioiI0MaNG/XDDz88cku/JI0aNUo1a9ZU6dKl1a5dO/tUal5eXvHmbh82bJjWrFmjihUrqkOHDipQoIDOnDmjhQsXatOmTcqQIcNjfz6enp6qUKGCRo4cqdu3bysgIEBr1qzRiRMnEqx7r+9LUFCQPv30U/Xr108nT55UgwYN5OHhoRMnTmjp0qXq0KGDevXq9USfee3ateXs7Kx169apQ4cOCe7/+eefdfHixUS7tMf68MMPtXDhQlWuXFndu3fXtWvXNGrUKBUuXPiegwMOHDhQhQsXjhfe33jjDX388cfq1KmTcubMqcmTJ+uLL764b/2ffvqp1q5dq3Llyqlz585ydnbW5MmTFRkZqZEjR973sQ/y4osvqnHjxsqRI4dOnDihiRMnytvbW5MmTYq3Xo0aNXT8+HH17t1bmzZt0qZNm+z3Zc6cOdFeQgsXLtRff/0Vr9dC6dKllTlzZjVu3FgNGzbU6NGj7SdoYu3atUuXLl1S/fr1n+i9AUjlnvr48ADwDImdxiexKZtiYmKsoKAgKygoyIqOjrZsNps1bNgwK2fOnJabm5tVrFgxa8WKFVabNm2snDlzxnvsli1brBIlSliurq7xpvO611RqXbp0SfD6d0/tZVmWtX79eqtYsWKWq6urFRQUZE2bNs3q2bOn5e7u/sD32qZNG/tUQZKstGnTWrly5bLeeOMNa9GiRfGm44p191RqkydPtipUqGBlypTJcnNzs4KCgqwPPvjAunr1arzHffLJJ1ZAQIDl6OgYbyqqe73X2PsSm0rtn3/+sRo1amR5eHhYGTNmtLp27WrdvHkz3mNv3LhhtWvXzvLy8rI8PDysJk2aWOfPn090Srt71ZbY3/vYsWNWo0aNrAwZMlju7u5WqVKlrBUrVsRbJ3Yqtbuny7p7Cq/jx49bb731lhUUFGS5u7tb3t7eVuXKla1169Yl+veIK7Gp1GKNHz/eyp8/v+Xi4mJlzpzZ6tSpk3X58uV461SsWPGBU+AlZteuXVbz5s0tf39/y8XFxcqYMaNVtWpVa/bs2QmmKhs1alSCxyf291+3bp1VtmxZK02aNJanp6dVt25d659//knw2FOnTlmtW7e2T2uYO3duq0uXLvGmq3uYzyexqdT+++8/6/XXX7cyZMhgeXl5WY0bN7ZCQ0Mf6ftiWZa1ePFiq1y5cla6dOmsdOnSWfnz57e6dOliHTp0yLKsJ/vMLcuy6tWrZ1WtWjXR+5o1a2a5uLjEm5YuMfv377eqV69upU2b1sqQIYPVokUL6+zZs4mu+9dff1murq7Wnj17Etw3a9YsK1euXFamTJmsHj16PNS0Z7t377Zee+01K3369FbatGmtypUrW1u2bIm3zv1+g++lWbNmVvbs2S1XV1fL39/f6tixo3Xu3LkE68X9vbv7X9zftVg3btywcubMaY0dOzbBfTt27LCKFy9ueXh4WHXr1rXOnz8f7/4+ffpYOXLksE/1BwCPw8GynsGRWgAAD61Bgwb6+++/E71mFkDK9fvvv6tSpUo6ePDgfS83gVmRkZHKlSuX+vbtq+7du5suB0AKxjXnAJCC3D2H75EjR7Rq1SpVqlTJTEEAkk358uVVvXr1J+4GjuQ1c+ZMubi4qGPHjqZLAZDC0XIOAClI1qxZFRwcbJ/HeuLEiYqMjNSePXtoWQMAAEjBGBAOAFKQGjVq6Pvvv9fZs2fl5uam0qVLa9iwYQRzAACAFI6WcwAAAAAADOOacwAAAAAADCOcAwAAAABgWKq65txmsyk0NFQeHh5ycHAwXQ4AAAAA4DlnWZYiIiLk7+8vR8d7t4+nqnAeGhqq7Nmzmy4DAAAAAJDKnD59WtmyZbvn/akqnHt4eEi680fx9PQ0XA0AAAAA4HkXHh6u7Nmz2/PovaSqcB7bld3T05NwDgAAAAB4ah50aTUDwgEAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAxzNl0AzIqMjFRoaKjpMlIlf39/ubm5mS4DAAAAwDOAcJ7KhYaGqn///qbLSJWGDh2qwMBA02UAAAAAeAYQzlM5f39/DR061HQZjyUkJEQTJkxQ586dFRAQYLqcR+bv72+6BAAAAADPCMJ5Kufm5pbiW28DAgJS/HsAAAAAkLoxIBwAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIal2HA+YsQIOTg46L333jNdCgAAAAAATyRFhvMdO3Zo8uTJKlKkiOlSAAAAAAB4YikunF+7dk0tWrTQ1KlTlTFjRtPlAAAAAADwxJxNF/CounTpotq1a6tatWr69NNP77tuZGSkIiMj7bfDw8OTuzwAAADguRIWFqaIiAjTZTyyqKgoXbhwwXQZqZKvr69cXV1Nl/FIPDw85OPjY7SGFBXO582bp927d2vHjh0Ptf7w4cM1ZMiQZK4KAAAAeD6FhYWpZ69euh0VZboUIFm5uLrq89GjjQb0FBPOT58+re7du2vt2rVyd3d/qMf069dPPXr0sN8ODw9X9uzZk6tEAAAA4LkSERGh21FRylC2iJy90pku55FYMTGKuXbTdBmpklP6NHJwcjJdxkOLvnpdVzb/pYiICML5w9i1a5fOnz+v4sWL25fFxMTot99+0/jx4xUZGSmnu74Abm5ucnNze9qlAgAAAM8VZ690csnkZbqMR+dnugDg4aWYcF61alXt27cv3rK2bdsqf/786tOnT4JgDgAAAABASpFiwrmHh4cKFSoUb1m6dOmUKVOmBMsBAAAAAEhJUtxUagAAAAAAPG9STMt5YjZu3Gi6BAAAAAAAnhgt5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMMzZdAEAgOeLzWbTwYMHdeXKFWXIkEH58+eXoyPnggEAAO6HcA4ASDJ//PGH5syZowsXLtiX+fr6qkWLFipVqpTBygAAAJ5thHMAQJL4448/9NVXX6lYsWLq2rWrsmfPrtOnT2v58uX66quv1L17dwI6AADAPdDPEADwxGw2m+bMmaNixYqpR48eyps3r9zd3ZU3b1716NFDxYoV05w5c2Sz2UyXCgAA8Eyi5TwJhYWFKSIiwnQZqUZISEi8/+Lp8PDwkI+Pj+ky8Iw5ePCgLly4oK5duya4vtzR0VH16tXT4MGDdfDgQb344ouGqgSSVmRkpEJDQ02XkSr5+/vLzc3NdBkAkKQI50kkLCxMvXr2VNTt26ZLSXUmTJhguoRUxdXFRaM//5yAjniuXLkiScqePXui98cuj10PeB6Ehoaqf//+pstIlYYOHarAwEDTZQBAkiKcJ5GIiAhF3b6txj6Sr4vpaoDkceG2tDDstiIiIgjniCdDhgySpNOnTytv3rwJ7j99+nS89YDngb+/v4YOHWq6jMcSEhKiCRMmqHPnzgoICDBdziPz9/c3XQIAJDnCeRLzdZEC6GUFIJXJnz+/fH19tXz5cvXo0SNe13abzaYffvhBvr6+yp8/v8EqgaTl5uaW4ltvAwICUvx7AIDnBQPCAQCemKOjo1q0aKE9e/boiy++0OHDh3Xz5k0dPnxYX3zxhfbs2aMWLVow3zkAAMA90HIOAEgSpUqVUvfu3TVnzhwNHjzYvtzX15dp1AAAAB6AcA4ASDKlSpVSyZIldfDgQV25ckUZMmRQ/vz5aTEHAAB4AMI5ACBJOTo6Ml0aAADAI6IpAwAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwLMWE8+HDh+vll1+Wh4eH/Pz81KBBAx06dMh0WQAAAAAAPLEUE85//fVXdenSRdu2bdPatWt1+/ZtVa9eXdevXzddGgAAAAAAT8TZdAEP66effop3e9asWfLz89OuXbtUoUIFQ1UBAAAAAPDkUkw4v9vVq1clSd7e3vdcJzIyUpGRkfbb4eHhyV4XACSlyMhIhYaGmi4jVfL395ebm5vpMgDgmRB99ZrpEoBk86x8v1NkOLfZbHrvvfdUtmxZFSpU6J7rDR8+XEOGDHmKlQFA0goNDVX//v1Nl5EqDR06VIGBgabLAIBnwpXN+0yXADz3UmQ479Kli/bv369Nmzbdd71+/fqpR48e9tvh4eHKnj17cpcHAEnG399fQ4cONV3GIwsJCdGECRPUuXNnBQQEmC7nsfj7+5suAQCeGRnKFpazV3rTZQDJIvrqtWfiBFSKC+ddu3bVihUr9Ntvvylbtmz3XdfNzY0uiQBSNDc3txTdehsQEJCi6wcA3OHslV4umbxMlwE811JMOLcsS926ddPSpUu1ceNGDvYAAAAAAM+NFBPOu3Tporlz52r58uXy8PDQ2bNnJUleXl5KkyaN4eoAAAAAAHh8KWae84kTJ+rq1auqVKmSsmbNav83f/5806UBAAAAAPBEUkzLuWVZpksAAAAAACBZpJiWcwAAAAAAnleEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAxzNl0AADwNYWFhioiIMF1GqhESEhLvv3g6PDw85OPjY7oMAADwGAjnAJ57YWFh6tWrp6KibpsuJdWZMGGC6RJSFVdXF40e/TkBHQCAFIhwDuC5FxERoaio22rbsICy+KQ1XQ6QLM6G3dDMJQcUERFBOAcAIAUinANINbL4pFUOfw/TZQAAAAAJMCAcAAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwzNl0Ac+bC7dNVwAkn5T+/T4bdsN0CUCySenf72PHjunMmTOmy0g1Lly4IEn6888/FRISYria1CNr1qwKCgoyXQaAZxThPIktDDNdAYB7mbnkgOkSACQiLCxMgwYNks1mM11KqrNw4ULTJaQqjo6OGjNmjHx8fEyXAuAZRDhPYo19JF8X01UAyePC7ZR9AqptwwLK4pPWdBlAsjgbdiPFnoCKiIiQzWZTtZr5lDET2yieT5cv3tC61YcVERFBOAeQKMJ5EvN1kQLcTFcBIDFZfNIqh7+H6TIA3EO+F/0UkN3LdBlAsgg5fVXrVh82XQaAZxgDwgEAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAxzNl0AADwtZ8NumC7hkd2OtunilVumy0iVMmVwl4tzyjmHnRK/3wAA4P8QzgE89zw8POTq6qKZSw6YLgVIVq6uLvLw8DBdBgAAeAyEcwDPPR8fH40e/bkiIiJMl/LIoqKidOHCBdNlpEq+vr5ydXU1XcYj8fDwkI+Pj+kyAADAYyCcA0gVfHx8UmxoeeGFF0yXAAAAgGSWci6mAwAAAADgOUU4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABg2GPNc/7666/LwcEhwXIHBwe5u7srT548at68OXPzAgAAAADwEB6r5dzLy0sbNmzQ7t275eDgIAcHB+3Zs0cbNmxQdHS05s+fr5deekmbN29O6noBAAAAAHjuPFbLeZYsWdS8eXONHz9ejo538r3NZlP37t3l4eGhefPmqWPHjurTp482bdqUpAUDAAAAAPC8eaxwPn36dG3evNkezCXJ0dFR3bp1U5kyZTRs2DB17dpV5cuXT7JCAQAAAJgRffW66RKAZPOsfL8fK5xHR0fr4MGDypcvX7zlBw8eVExMjCTJ3d090evSAQAAAKQMHh4ecnF11ZXNf5kuBUhWLq6u8vDwMFrDY4XzVq1aqV27dvrwww/18ssvS5J27NihYcOGqXXr1pKkX3/9VQULFky6SgEAAAA8VT4+Pvp89GhFRESYLiXVCAkJ0YQJE9S5c2cFBASYLifV8PDwkI+Pj9EaHiucf/nll8qcObNGjhypc+fOSZIyZ86s999/X3369JEkVa9eXTVq1Ei6SgEAAAA8dT4+PsZDS2oUEBCgwMBA02XgKXqscO7k5KT+/furf//+Cg8PlyR5enrGWydHjhxPXh0AAAAAAKnAY4XzuO4O5QAAAAAA4NE81jzn586dU6tWreTv7y9nZ2c5OTnF+wcAAAAAAB7eY7WcBwcH699//9XAgQOVNWtWRmUHAAAAAOAJPFY437Rpk37//XcVLVo0icsBAAAAACD1eaxu7dmzZ5dlWUldCwAAAAAAqdJjhfMxY8aob9++OnnyZBKXAwAAAABA6vNY4bxp06bauHGjgoKC5OHhIW9v73j/ktPXX3+tXLlyyd3dXf/73//0xx9/JOvrAQAAAACQ3B7rmvMxY8YkcRkPZ/78+erRo4cmTZqk//3vfxozZoxee+01HTp0SH5+fkZqAgAAAADgST1WOG/Tpk1S1/FQvvjiC7Vv315t27aVJE2aNEkrV67UjBkz1LdvXyM1AQAAAADwpB46nIeHh8vT09P+//cTu15SioqK0q5du9SvXz/7MkdHR1WrVk1bt25N9DGRkZGKjIy0335Q3QAAAAAAmPDQ4Txjxow6c+aM/Pz8lCFDhkTnNrcsSw4ODoqJiUnSIiUpLCxMMTExypw5c7zlmTNn1sGDBxN9zPDhwzVkyJAkrwUAAAAAgKT00OF8w4YN9sHefvnll2QrKCn169dPPXr0sN8ODw9X9uzZDVYEAAAAAEBCDx3OK1asaP//wMBAZc+ePUHruWVZOn36dNJVF4ePj4+cnJx07ty5eMvPnTunLFmyJPoYNzc3ubm5JUs9AAAAAAAklceaSi0wMFAXLlxIsPzSpUsKDAx84qIS4+rqqhIlSmj9+vX2ZTabTevXr1fp0qWT5TUBAAAAAHgaHmu09thry+927do1ubu7P3FR99KjRw+1adNGJUuWVKlSpTRmzBhdv37dPno7AAAAAAAp0SOF89jrtx0cHDRw4EClTZvWfl9MTIy2b9+uokWLJmmBcTVt2lQXLlzQRx99pLNnz6po0aL66aefEgwSBwAAAABASvJI4XzPnj2S7rSc79u3T66urvb7XF1d9dJLL6lXr15JW+Fdunbtqq5duybrawAAAAAA8DQ9UjiPHaW9bdu2+uqrr5JlPnMAAAAAAFKbx7rmfObMmUldBwAAAAAAqdZjhXNJ2rlzpxYsWKB///1XUVFR8e5bsmTJExcGAAAAAEBq8VhTqc2bN09lypTRgQMHtHTpUt2+fVt///23NmzYIC8vr6SuEQAAAACA59pjhfNhw4bpyy+/1I8//ihXV1d99dVXOnjwoJo0aaIcOXIkdY0AAAAAADzXHiucHzt2TLVr15Z0Z5T269evy8HBQe+//76mTJmSpAUCAAAAAPC8e6xwnjFjRkVEREiSAgICtH//fknSlStXdOPGjaSrDgAAAACAVOCxBoSrUKGC1q5dq8KFC6tx48bq3r27NmzYoLVr16pKlSpJXSMAAAAAAM+1xwrn48eP161btyRJ/fv3l4uLi7Zs2aI33nhDvXr1StICAQAAAAB43j1Wt3Zvb2/5+/vfeQJHR/Xt21cLFiyQv7+/ihUrlqQFAgAAAADwvHukcB4ZGal+/fqpZMmSKlOmjJYtWyZJmjlzpoKCgvTVV1/p/fffT446AQAAAAB4bj1St/aPPvpIkydPVrVq1bRlyxY1btxYbdu21bZt2/T555+rcePGcnJySq5aAQAAAAB4Lj1SOF+4cKG++eYb1atXT/v371eRIkUUHR2tvXv3ysHBIblqBAAAAADgufZI3dr/++8/lShRQpJUqFAhubm56f333yeYAwAAAADwBB4pnMfExMjV1dV+29nZWenTp0/yogAAAAAASE0eqVu7ZVkKDg6Wm5ubJOnWrVvq2LGj0qVLF2+9JUuWJF2FAAAAAAA85x4pnLdp0ybe7ZYtWyZpMQAAAAAApEaPFM5nzpyZXHUAAAAAAJBqPdI15wAAAAAAIOkRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMMzZdAEAgOdLdHS01qxZo/Pnz8vPz0/Vq1eXszO7GwAAgPvhaAkAkGTmzp2rVatWyWazxVtWq1YtNW/e3GBlAAAAzzbCOQAgScydO1crVqyQl5eXGjdurOLFi2v37t1auHChVqxYIUkEdAAAgHvgmnMAwBOLjo7WqlWr5OXlpXHjxqlKlSrKkCGDqlSponHjxsnLy0urVq1SdHS06VIBAACeSYRzAMATW7NmjWw2mxo3bpzg+nJnZ2c1atRINptNa9asMVQhAADAs41wDgB4YufPn5ckFS9ePNH7ixUrFm89AAAAxEc4BwA8MT8/P0nS7t27E71/z5498dYDAABAfIRzAMATq169uhwdHbVw4cIE15VHR0dr0aJFcnR0VPXq1Q1VCAAA8GwjnAMAnpizs7Nq1aqlq1evqlu3blq/fr0uXbqk9evXq1u3brp69apq1arFfOcAAAD3wFESACBJxE6TtmrVKk2fPt2+3NHRUXXq1GEaNQAAgPsgnAMAkkzz5s3VpEkTrVmzRufPn5efn5+qV69OizkAAMADcLQEAEhSsV3cAQAA8PC45hwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMCxFhPOTJ0+qXbt2CgwMVJo0aRQUFKRBgwYpKirKdGkAAAAAADwxZ9MFPIyDBw/KZrNp8uTJypMnj/bv36/27dvr+vXrGj16tOnyAAAAAAB4IikinNeoUUM1atSw386dO7cOHTqkiRMnEs4BAAAAACleigjnibl69aq8vb3vu05kZKQiIyPtt8PDw5O7LAAAAADPgMjISIWGhpou45GFhITE+29K5O/vLzc3N9NlpDgpMpwfPXpU48aNe2Cr+fDhwzVkyJCnVBUAAACAZ0VoaKj69+9vuozHNmHCBNMlPLahQ4cqMDDQdBkpjtFw3rdvX3322Wf3XefAgQPKnz+//XZISIhq1Kihxo0bq3379vd9bL9+/dSjRw/77fDwcGXPnv3JigYAAADwzPP399fQoUNNl5Eq+fv7my4hRTIaznv27Kng4OD7rpM7d277/4eGhqpy5coqU6aMpkyZ8sDnd3NzozsFAAAAkAq5ubnReosUxWg49/X1la+v70OtGxISosqVK6tEiRKaOXOmHB1TxCxwAAAAAAA8UIq45jwkJESVKlVSzpw5NXr0aF24cMF+X5YsWQxWBgAAAADAk0sR4Xzt2rU6evSojh49qmzZssW7z7IsQ1UBAAAAAJA0UkTf8ODgYFmWleg/AAAAAABSuhQRzgEAAAAAeJ4RzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwZ9MFPG8u3DZdAZB8+H4DSE4Xzl0zXQKQbPh+A3gQwnkS8fDwkKuLixaGkV7wfHN1cZGHh4fpMgA8Rzw8POTq6qqF3/1puhQgWbm6urIPBXBPDpZlWaaLeFrCw8Pl5eWlq1evytPTM8mfPywsTBEREUn+vEhcSEiIJkyYoM6dOysgIMB0OamGh4eHfHx8TJcB4DnDPvTpYh9qBvtQIHV62BxKy3kS8vHx4QfXgICAAAUGBpouAwDwBNiHmsE+FACeHQwIBwAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYSkunEdGRqpo0aJycHDQn3/+abocAAAAAACeWIoL571795a/v7/pMgAAAAAASDIpKpyvXr1aa9as0ejRo02XAgAAAABAknE2XcDDOnfunNq3b69ly5Ypbdq0D/WYyMhIRUZG2m+Hh4cnV3kAAAAAADy2FNFyblmWgoOD1bFjR5UsWfKhHzd8+HB5eXnZ/2XPnj0ZqwQAAAAA4PEYDed9+/aVg4PDff8dPHhQ48aNU0REhPr16/dIz9+vXz9dvXrV/u/06dPJ9E4AAAAAAHh8Rru19+zZU8HBwfddJ3fu3NqwYYO2bt0qNze3ePeVLFlSLVq00OzZsxN9rJubW4LHAAAAAADwrDEazn19feXr6/vA9caOHatPP/3Ufjs0NFSvvfaa5s+fr//973/JWSIAAAAAAMkuRQwIlyNHjni306dPL0kKCgpStmzZTJQEAAAAAECSSREDwgEAAAAA8DxLES3nd8uVK5csyzJdBgAAAAAASYKWcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABhGOAcAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGHOpguAWZGRkQoNDTVdxmMJCQmJ99+Uxt/fX25ubqbLAAA8Jvah5rAPBfA8crAsyzJdxNMSHh4uLy8vXb16VZ6enqbLeSacOHFC/fv3N11GqjR06FAFBgaaLgMA8JjYh5rDPhRASvKwOZRwnsql5LP+KR1n/QEgZWMfag77UAApycPmULq1p3Jubm6ceQYA4DGwDwUAJCUGhAMAAAAAwDDCOQAAAAAAhhHOAQAAAAAwjHAOAAAAAIBhhHMAAAAAAAwjnAMAAAAAYBjhHAAAAAAAwwjnAAAAAAAYRjgHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAAAAAAAMI5wDAAAAAGAY4RwAAAAAAMMI5wAAAAAAGEY4BwAAAADAMMI5AAAAAACGEc4BAAAAADCMcA4AAAAAgGGEcwAAAAAADCOcAwAAAABgGOEcAAAAAADDCOcAAAAAABjmbLqAp8myLElSeHi44UoAAAAAAKlBbP6MzaP3kqrCeUREhCQpe/bshisBAAAAAKQmERER8vLyuuf9DtaD4vtzxGazKTQ0VB4eHnJwcDBdDp5QeHi4smfPrtOnT8vT09N0OQDiYPsEnm1so8Czi+3z+WNZliIiIuTv7y9Hx3tfWZ6qWs4dHR2VLVs202UgiXl6evLDBTyj2D6BZxvbKPDsYvt8vtyvxTwWA8IBAAAAAGAY4RwAAAAAAMMI50ix3NzcNGjQILm5uZkuBcBd2D6BZxvbKPDsYvtMvVLVgHAAAAAAADyLaDkHAAAAAMAwwjkAAAAAAIYRzgEAAAAAMIxwDgAAAACAYYRzAMBDs9lspksA8ACM9Qs8m9iH4kEI53hmXLt2zXQJAO7j5s2bcnRktwE8i5YtW6a//vpLkuTg4GC4GgBxRUdHSxL7UDwQ3xA8E4YMGaLg4GDNnDlTJ0+etC/n7D/wbBgzZowKFy6s4cOHa9WqVabLARDH33//rcGDB+vdd99V2bJl9dNPP+ncuXOmywKgO8G8d+/eqlKlipYtW6YDBw6YLgnPMOY5xzPhxx9/1Pnz5zVy5EgFBQWpUKFCGjlypOmyAPx/YWFh+vnnn7V582YtWLBADRo0ULdu3fTSSy+ZLg2ApOvXrysqKkqdOnVSSEiIMmbMqOHDh6tgwYKmSwNStVu3bunQoUOaM2eODh8+rN27d2vgwIFq1qyZPDw8TJeHZwzhHM+UY8eOafXq1Ro1apTy5Mmj+fPny8fHx3RZAP6/yMhI7d69W23atFGOHDnUvn17NW3a1HRZQKpkWZYcHBzs/421aNEiffvtt/r777+1aNEiFS1a1FyRAOxOnjyppUuXqnfv3mrbtq3ee+89vfjii6bLwjOEcA7jYmJi5OTkZD+4iI6O1v79+9WsWTNlyJBBGzZsUNq0aRMcfAB4eu4OASEhIerQoYOuX7+u9957Tw0aNDBdIpDqXLlyRRkyZLDfttls9mtad+7cqREjRujgwYNaunSp8ubNa6hKIHVJ7Hg17rYpSevWrVObNm1UtWpVffzxx8qVK9dTrhLPKq45hzEbN26UJDk5OUn6vwFsnJ2dVbRoUf3888+6cOGCWrRoEe9+AE/Htm3bdObMmXjLYk+gBQQEaNq0aXJ2dtaUKVN06dIlQ1UCqdPff/+tQYMGSZJu374t6c5gUzExMZKkkiVLqkePHsqRI4e+/vprBl0FnpLY49Xff//dvixuMLfZbKpWrZrmzp2rZcuWafr06ZIYZwl3EM5hzOjRo/XHH38kOq1ETEyMcubMqalTp+rAgQOaOHGigQqB1Cn2AKF///768ccfJcU/Oebs7CxJypo1q6ZPn66tW7fqq6++evqFAqlYSEiI9uzZI0lycXFJdJ0yZcro1Vdf1caNG3XlyhVJBAAgudlsNl26dEnBwcHav39/gvtje6FVrFhRU6dO1YgRI7RhwwYaoSCJcA4DLMuSZVlyc3PTgQMH7GcT9+zZo61bt0r6v9b0EiVKqFatWtq5c6exeoHUJvbgvUWLFoqMjLQvX7ZsmVavXq1jx47Zl+XMmVOTJk3SDz/8oMOHDz/1WoHUqnr16vLz89PVq1clSe+++666dOmidu3a6ejRo/b13n//fXl6emrw4MGS6IUGJDfLsuTt7a1XX31VUVFRku4E9t9++027d+/W7du37dtho0aN9M477+i7775TZGQk86CDcI6nz8HBQQ4ODmrWrJlOnTolSWrSpIl69uyptm3bqk6dOvblXl5eat26tRYvXqzNmzebLBtINWJPmGXKlEnz5s2TZVlq27atJk2apI8++kgDBgyI15ulVKlS8vDwUGhoqKmSgVQhMjJSt27dkiRFRUXp0qVLWr9+vb777jsdOXJE9erVk4uLi8qUKRPvZFnPnj1169Yte1AAkHTu7o0S28CUIUMGLVq0SJZlqVy5cho3bpxq1KihgQMHasuWLfZ1K1WqpN27dysmJoZ50EE4x9OzZ88e+3XksWcVf/jhB/3777+KjIzUhg0btGvXLl2/fl0dOnSwP65o0aJ66623dPbsWYPVA8+/2IP8FStW6Pbt26pZs6b8/Px07do13bp1SxMmTND69ev1yiuvaP369dq1a5ckKTAwUOXKldO6devoMgskk9mzZ6tx48aqVq2afvjhB7m6uqpx48a6du2afZ/62muvaerUqapbt67ef/99e5AvUqSI0qVLx9gQQBKLO/jb6tWrtX79eu3du1eSVL58eV28eFFnzpxRpkyZtHDhQi1dulTnz5/XkiVL7D3TGjVqpBw5cmjt2rXG3geeHYRzPBUzZsxQtWrV1L17d9WqVUvr169X1apVlS9fPt28eVPbt2/XrFmzlC5dOq1YsUJ79+7VsmXL7I+vVauWsmfPbu4NAM+57777Tg0bNtTkyZP1+eefq2/fvnJ1dVVMTIx+/PFHXblyRatXr5anp6fefPNNHT58WH/++af98d26ddObb75Jl1kgGfz666967733VLlyZZUrV04NGjTQtm3blDVrVn3zzTfKmjWrwsPDtXDhQklS7dq15ezsbJ8JJTAwUJ9++qmyZMli+J0Az5fYfV6fPn3Uvn17denSRUOGDNGKFStUunRp/fvvv9q3b5/279+vY8eOqWzZsmrZsqWmTJkSr3dLnz59VKlSJUPvAs8SZ9MF4Pl36dIlzZw5U2PHjlXTpk3VrVs39e/fX1WqVNGFCxd08OBBDR8+XDNmzJCDg4Pq1aunHDly2AedkqRq1aoZfAfA8y06OlpLly5Vnz591LNnT61YsUITJkzQf//9pxdeeEFp06ZV165d1axZMzk6Oqps2bLKlClTvFa4rFmzKmvWrAbfBfD8Onv2rIKCgtSpUye5u7vr2rVr2rhxo9566y39+OOPevnll1WkSBF9++23WrBggSIiIhQdHS1nZ2d7ePD19ZWU+DRPAB5fSEiIVq9erblz58rf318TJkzQsmXLVLp0aUVFRal48eKqXbu2ypUrpx9++EEBAQEKDAy0jxchSaVLl6ZLOyTRco6nwN3dXRcvXtTRo0fl7OyssWPHKl26dLp+/boaNGig8+fP680339Trr7+uTp06qXbt2rp165Zq1KhhunTguRc7QKNlWbp06ZLc3NzUsGFDRUZGysnJSeXKldOPP/6o2rVr6/PPP9e0adPUqVMn3bhxQ++//77p8oHnWuzgUNmyZVPGjBk1bdo0xcTE6PTp00qXLp28vb116NAhHTx4UL169VK7du2UM2dOFShQQKtXr7aPCh0XwRxIWjExMbp48aJu376tPHnyqEmTJvau7MWKFdOvv/6q8ePHq0aNGmrSpIneeOMN5cyZU+XKlbM/B8EcsWg5R7JLmzatevXqpXHjxunGjRs6deqUPD095eHhoYCAAH399dcKDg7W+++/rwYNGujKlSsqUqSInJycFBMTYx9YA0DSc3BwkIuLi1q3bq2WLVvq5s2bOnnypDJkyGBvDY8d+blDhw6qV6+eHB0d5ePjY59TmW0USB6xB+zFixdX5cqVtXLlSs2fP1/e3t7q1q2bpDvzmZ86dUr/+9//VL9+fdWvX9/++NjWcwBJI7GeJzly5FDjxo1Vr149DRs2TN9//709eGfIkEGrVq1So0aNNHPmTB06dEiS9MILL0i6cwKOYI64HCxG70EyOH78uK5evaosWbLI29tbbm5uWrlypVavXq3MmTNr4MCBkqSjR4+qd+/eWrJkSYLn4AcLSD67d+/W2bNn5ejoqNKlS8vLy0u//vqrDh06pMjISPuBvyQ1btxYQ4cOVb58+eIdmLCNAsljzZo1+uWXX3T8+HHVr19fzZs3V1RUlCIiInTx4kXly5fPvu7s2bP1+++/a9q0aYqKipKrq6vByoHnV9z93549e3Tr1i2lS5dORYoUkSR99dVXun79utKkSWPvWXb48GENHTpUs2fPTvB87EORGE6nIsnNmDFDQ4YMkc1m0+3bt1WlShW9//77ql27tmrVqhXvjGOePHl069Ytbdy4URUrVox3Hz9YQPKYNm2aBg4cKHd3d9lsNtlsNs2YMUOvvvqqKlasaF8vKipKLi4uioiI0KZNm5QvXz62USCZzZgxQ3379lXlypUVERGhli1b6vr162rfvr0yZcqkTJkySfq/VvE8efLo22+/lSSCOZCMYvd/vXv31rJly3Tu3Dn5+/srMDBQCxcuVPfu3eOtb7PZlD59em3atEl///23ChYsGO9+9qFIDN8KJKlff/1V3bt31+DBg7Vx40Z9/PHHioiIUKNGjbR+/Xo5ODjIZrPJsiz7tXRubm4KCwvjOjjgKdixY4f69Omj8ePHa+vWrVq5cqUqVaqkevXqaebMmfapXSTJxcVFDg4OevXVV3Xt2jWDVQOpw9q1azVgwACNHTtW8+fP16pVq/Tpp5/qyy+/VFhYWLzrx2O7qxcoUED58+e371MBJJ8ZM2Zo+vTpmjVrln777Td9/PHHOnXqlEqUKGHvsh67nTo4OMjf318lS5ZkH4qHRrd2JKnJkydr8eLFWrNmjX3Znj179MUXX2jdunVatGiRypYtG+8xO3fuVNGiRbkuDngK1qxZo549e2rDhg320ZslqWfPnvr66681b948NWjQIN615Hv37lXhwoU5yw8ko1u3bqlnz566deuWJk+ebN8nrl27Vm+//bb27dsnT0/P+z4H3WSB5DVo0CAdOnRI8+bNsy8LCQlR06ZNFRYWpm3btilDhgzx9qGrV69WzZo1TZWMFIZfcDyxuOd3oqOj9eeff+rChQv2ZcWKFVPv3r1VoUIFffTRRwoJCYn32JIlS8rZ2VkxMTFPtW4gNbp69aqOHj1q7/4aFRUlSfr8888VHBysdu3a6fz58/b5kSXppZdekqOjIy1zQDJyd3dX7dq1VbZs2Xgnq1944QXFxMTo6tWrD9wGCeZA0kms/fLcuXPav3+//bbNZlNAQIAWLlwoV1dXNWrUSJLk5ORk315jgzntoXgY/IrjiR08eND+/8WLF5e/v78WLlyomzdv2pcXLlxYLVq00KlTp3T69Gn78rhd2RnxGUgeu3fv1qlTpyRJdevWVcGCBfXWW28pMjJSrq6uun37tiRpxIgRypEjh6ZNm5bo83DgDySvWrVq6a233oq3zNXVVTExMbp+/bp9G/z+++915coVAxUCqUPcwd/2799vD9bBwcG6ceOGxowZI0n2E9dZs2bVyJEj9d9//2nr1q32++Li8k08DI608ETmzp2rggULasGCBZKk0qVL6+WXX9aIESO0fv16e6ucJNWrV0/R0dHavHmzqXKBVGfWrFkqWbKk1q5dK+nOdeRdunTR6dOn1adPH/ugb5ZlKV26dEqfPr2uXr0qiQMJILlt3LhR3377rT777DPt27fPPuZDdHS0pDsB4datW3JycpKPj48kqWrVqho4cOADu7gDeDxxg3m/fv1UpEgRHTlyRNKdgYyrVaumZcuWae7cuZL+L4S/8MILOnfuXLzeo8CjIpzjsU2cOFGtW7eWt7e3duzYYV8+depUFSpUSO+8844WLlxoHwTj8uXL8vb2lr+/v6mSgVRl8uTJ6tChg0qUKKHJkyfr9OnTcnJyUtOmTVWrVi1t3rxZ77zzjmJiYuTg4GDvyu7l5WW6dOC5N336dNWvX18rVqzQhAkT1KZNG7377ru6du1avEu9bDab3NzcdOvWLdWtW1dnzpzRgQMH5OjoSDdZIInFDebvv/++vvrqK+XKlUsTJ05UZGSkfHx81Lt3b6VLl05TpkzR119/bX+si4uLsmbNqjRp0pgqH88BBoTDY5k6dao6deqkDRs26OTJk2rfvr327dsXb+7VN998U3/++aeyZcuml156STt27NCVK1e0a9cuBn8DklnsNrpkyRJ5enqqefPm+u6771SlShVJ0vXr1zVt2jTNmjVL586dU9myZXXy5EnduHFDe/fuZRsFktEff/yhpk2basyYMapfv74kqXPnzpo0aZJq1aqlOXPm2E+SnT9/XiVLlpSjo6OcnZ114MABubi42KdSA5D0evbsqRkzZmjjxo1auHChFixYoL/++kvu7u6SpCNHjmjYsGHatGmT/Pz8VLJkSa1evVovvPCCfvzxR8PVIyUjnOORTZ8+Xe3bt9fixYv1+uuv6/z586pbt67Kli2rkSNHymaz2Qeb+vbbb7V161aFhoYqR44c+vzzz+Xi4hJvFEsASWvixInq0qWLlixZogYNGkiSqlSpopiYGP3666/29aKjo3X69GnNmDFDN27ckIeHhwYMGGBvtWMbBZLH/Pnz9cUXX2jNmjVKly6dnJ2dtX37drVu3Vrp06dXgQIFNG3aNLm7u+vo0aPKly+fihUrpu3bt8vZ2ZlgDiSjTp066bvvvtPvv/+uokWL6ty5cypUqJC6du2qQYMG2de7cOGC9uzZoylTpsjHx0d+fn76+OOPJTFzAh4fv+x4JGFhYdq5c6eWL1+uunXrSpL8/PxUokQJrVy5Up999pl9gCkXFxe1atVKrVq1ivcjxUEFkDxiu+M5Ojpq0aJFatCggX1769Spk/r166dffvlFlStXVkxMjJydnRUYGKhPPvkk3vMQzIGk9++//ypHjhySpEuXLuny5cv27VCS9u3bp8yZM+vVV1/V3LlztXfvXv3vf/9Tnjx5tHTpUtWuXZtgDiSzy5cvy8nJSb/99puKFi2q6OhoeXl56fXXX9emTZt05coV+3gPvr6+ql69uqpXrx7vOQjmeBK0nOOh9OvXT59++qmcnJwUHh5u/2GK/QE6f/68ChcurG7dumnAgAGGqwVSn1GjRql+/frxLi2JKywsTCVLllS9evU0duxY+/K419cBSB5Tp07Vf//9pyFDhkiSzp49qxdffFEVK1ZUvXr1dOXKFfXs2VM//PCD6tSpo6CgILVv3159+/aN9zwEcyDp3bx5UxMnTlSPHj0k3Zli1NXVNd7+cePGjapSpYqWLl1qvxRFYh+KpMdpHTxQTEyM1q1bp19++UWS5OHhYb8vdkAaDw8P1apVS5s2bdK1a9cYpAZ4imJiYvT9999r1apVid5vs9nk4+Oj/v37a+HChfrjjz/s93FQASS/8PDweNehZsmSRZs3b9bJkyf15ZdfavLkyVq0aJHq1Kljvz+x/SjBHEh6oaGhGjVqlH1w49hLM2P3j5ZlqVKlSmratKm+/vprXbp0yf5Y9qFIaoRz3JdlWbIsSzly5NCGDRskJfwhcnBwUJo0adSmTRutWbNG69at48cKeEpsNpucnJzUsWNH7dixQ5cvX06wTmz3updfflmenp72OVhtNttTrRVIrTp16iRPT0/NnDlT0p19a4ECBbRlyxb99ttv+v3339WwYUNJd7rVRkVFKSAgwGTJQKpgs9mUO3du1ahRQ9u3b5ck+0wJsWKPaStXrqy9e/fq3LlzkkRDFJIF4Rz35eDgIGdnZ3Xt2lVTpkyxz5V8t9izis2bN9eECRMSDQgAkl5s8C5UqJB++eUX/f7775ISHlxIUtGiRVWvXj0NGDBA165d45o44ClxdHRU3rx5tWLFCl2+fFkODg6KiYlRmjRplCFDBvn6+ioqKkqHDx9W8+bNZbPZ1KJFC9NlA889R0dHOTg4qGDBgho2bJiuXLkiJyenRPehHTp0UPbs2dW7d29JtJojeXBkhgeyLEsvv/yy6tatq9mzZ+vw4cMJ1on9gXrhhRfk5OSkDBkyPOUqgdStTJkyatOmjd566y0dPnxYTk5O8VrGY8/w16pVS/Xq1VPatGlNlQqkOu7u7urTp4/WrVtnv+787kEX9+3bpy+++EJXr17Vtm3b7hkQACSd2H1jr169lC9fPrVq1Uo3b95MsA+N/f9XX31VBQoUMFIrUgcGhMNDW7x4sT7++GPVrl1bnTp1Uvbs2SX93w9bbECPHSSOQTKApyN2Wzt9+rQ6d+6ss2fPat68eQoKCkowamzc7ZVR2YGnI3Y7/PHHH9WoUSP16dPHPuVSrNu3b+vvv/9WkSJF5OjoyOBvwFO2ePFiff755ypRooRGjRold3f3BPvJiIgI+9hLHOciOdByjgeKPZh/44031LZtW82bN09jx47V3r17Jd05yHdwcFB0dLQkEcyBpyx2W8uePbvee+89ZcqUSa+//rr++uuveME8Ojravr1KCVvuACSP2O2wbt26mjx5sj777DO9/fbb+ueff+zruLi4qGjRonJ0dJTNZiOYA09ZnTp1VK9ePe3cuVOdO3e2t6DHiomJIZgj2dFyDrsBAwaoY8eOypYtW4L74ra+TZgwQfPmzZOTk5PeeecdNWvW7GmXCqRa95o/Ne6BwqZNmzRu3DgtX75cX3zxhcqVK6ciRYo87VIB3MOmTZsUHBysAgUKKCgoSAMHDpS7u7vSpUtnujTguXavHimx+9CbN29qxowZmjNnji5duqTZs2crKChIPj4+BqpFakQ4hyTp/PnzCgoKUvHixTVv3jxlzZo1wTpxQ8HmzZu1du1affnll6pZs6aCgoI0aNAg+/QTAJLXsWPHEnRbjxvQY2JiNHHiRC1YsEC3bt1SsWLF1KNHD+XLl4+z/UAySOzEWWLLYrfT0NBQrV69Wt9//72uX7+uVq1aqXnz5ozZAiSTuNvjrl279NJLL8UL6rH3R0dH69SpU/r444+1b98+eXh4qHnz5mrSpIkyZsxoqnykEoRz2J08eVLVq1eXn5+fFixYIH9//wTr3N2N5/jx4/r111/tjy1btuzTLBlIlRYtWqSOHTvq/PnzDxxxPTQ0VJcuXdKKFStUt25dFSxY8ClVCaQecQ/69+/fr9u3bytjxozKlSvXA9eX7gQFX19f5ciR42mUC6Q6U6dO1ZYtWzRz5kxVq1ZNmTNn1uzZsxO0ot99nLtnzx4dOXJEBw8e1LvvvsvJMyQ7wjniDXZx8OBBVapUSWXKlNG4cePuO8/qvbrXAkheV65cUenSpdWpUye9++67ia7D9XDA0xF3WxswYIAWLlwoBwcHnT9/Xp07d9Zbb72l3LlzJ/pY9qNA8ondNiMiIjR58mTNnj1bkZGRcnR01J49e5QmTZp7PvbubZNtFU8L3zLYg/mAAQM0fPhweXl5admyZWrVqpXOnDlzz8fF7UoLIHncPZVSdHS03N3d9corr9jnNE8MwRx4OmK3tdGjR2vq1KmaOnWqDh48qMaNG2vcuHG6cuXKPR/LwT6QPCIjI/Xaa69p586d8vDwUMeOHeXi4qKjR4+qTJky9mB+r+kK79422VbxtPBNgyTpyy+/1Ndff6327dtr3rx5WrFihY4fP66mTZsqNDT0vo8lBABJ7+bNm5L+7+TZ8ePHJUnOzs5yd3dX165d9cMPP2jBggXGagRwR0xMjLZs2aKPPvpIFSpU0NKlS7VgwQKNGDFCxYsX1+3bt02XCKQqp0+fVlRUlBo2bKg9e/Yoffr0evPNN/Xxxx9rz5496tixo6Q7+1i2TzxLCOeQdOcauUaNGqlcuXIqVqyYatWqpZUrV+r48eNq166dQkJCTJcIpBpvvPGGRowYofDwcEnS7NmzVa9ePbVs2VLHjh3TlStXVKJECbVt21Y///yzrl+/LpvNZrhqIPW4u8fY9evXdfDgQZUqVUpbtmxR69atNWLECHXq1EmRkZEaPXq09uzZY6haIPXJkyePvv76a5UoUUK1a9fWwYMH9cEHH+jdd99Vq1attGXLFnXq1EnSnWkMb9y4oc2bN9+zJR14WgjnkCSdO3dOp06dst+Ojo5WwYIF1bFjR/38889q0KCBLl68aLBCIPUoXLiwPv30U02dOlUxMTEqX768PvjgAx06dEj169dX27Zt9ccff6hYsWJas2aNwsLC5OjoyCUmwFMS22Ms9gSap6enypcvr7Zt26patWoaP3683nnnHfs6P/30k7Zv326sXiA1iYqKkiQVLFhQHTp0ULZs2VSzZk3t379fnp6eatOmjdq2batt27apdevWOnr0qIoUKaIlS5bEm9ccMIFwnsrcq3XtnXfe0T///KNp06ZJkn30yoCAALVp00Z58+ZlhEogmcWG68GDB2vUqFH64IMPNGrUKGXPnl1t2rTRjh071L9/f/n6+qp69eras2ePQkJCNHToUN2+fZtLTIBkFncfOmrUKLVs2VKHDx+WJDVq1Eju7u566aWX1KxZM0nS5cuX1aZNG9lsNrVv395IzUBqYlmWfVrfVq1aady4cXJyctKZM2dUo0YN/fnnn8qUKZNat26tjh076o8//lClSpVUtGhRff7554arByTnB6+C50XckSb/+OMPXbhwQXnz5pWvr6+qVq2qOnXqaPr06YqMjFSXLl109uxZLV68WOXLl1efPn0kxR/ZHUDScnBwsG+nPXr0kM1mU+/eveXk5KR27drJ29tbb775pt588001bdpUmzZtUt68efXLL7/o8uXL8vPzY5R2IJnE3Yfu3r1bN27c0IoVK+Tn56dPPvlEr776qg4fPqwZM2YoKChI+fLlU0REhGw2m7Zt2yYnJyf2oUAyi93/9e/fX7/99pvWrVsnPz8/bd26VV999ZVq1aqln376SUWKFFGrVq3UqFEjHTt2TKVKlZLEqOwwj6nUUqE+ffpozpw5sixLUVFRKl26tD7++GNly5ZNQ4cO1TfffCM3Nze5u7srffr02rVrl1xcXEyXDTzX7nVA8Nlnn6lfv3767LPP1KFDB3l5ecW7/8qVKypYsKDatWunjz/++GmVC6RavXv31rx589SmTRsdOnRIP/zwg+rUqaOJEyfK19dX+/bt04oVKxQZGans2bMrODhYTk5Oio6OTjCnMoCkFx0drebNm8vf319jxoyxL9++fbu6dOmiS5cuaeXKlSpQoEC8xxHM8SwgnKcyU6dO1YcffqiFCxeqaNGiWr9+vebMmaOzZ89qypQpKliwoE6ePKl169bJy8tLDRs2lLOzMwcVQDKKe0CwdetWRURESJKqV68uKX5Af+edd+Tp6SlJun37tlxcXPTRRx/pyJEjmjt3Lq3mQDLavHmz6tatq+XLl6t8+fKSpN9++001atRQ7dq19cUXXyh79uwJHkeLOfB0xV6uuWHDhngNTAMHDtTQoUPl4OCg48ePK2fOnAarBBIibaUy27dvV/369VWpUiVJd0aF9vHx0ZAhQzR9+nR9+eWXCgwMjHdtXExMDMEcSEaxwbxv37764YcfFBUVJV9fX/Xr10+bN29Wnz595OzsrN69e8vR0VFvv/22vLy87AccBw4cUFhYmG7fvm2/1g5A0ouOjlb69OntB/TR0dH2qdNq166tTJkyqXfv3sqdO3e8xxHMgeRxrxNf5cuX17Zt2zRr1iy9+eabSp8+vSQpKChIb7/9tkqXLk0wxzOJvhupjIuLi86ePRtvTseKFSuqUqVKmj9/vq5fv57gMRxUAMlv7Nixmj59umbNmqWjR4/a52bduHGjJKlnz5767LPP9MEHH2jlypX2x4WEhOjs2bMaNWoUwRxIQol1LPT19VVoaKh27Ngh6f+ub33ppZeUI0cOTZs2TZ9++ulTrRNIrWw2m/0YdezYsfZLMyWpZcuWKl68uCZOnKgvv/xS+/bt0/79+zV+/HgFBgaqbdu29ucAniWE8+fUvX5sXnjhBW3btk1btmyJd+BRuHBh5ciRwz79BICnx2azad++fRoyZIhKlSql5cuX69NPP9XkyZNVo0YN+3RNvXr10nfffacmTZrYH5s1a1b9/PPPKlmypKnygeeOzWazB+/Lly/bl7344ovq3LmzevXqpZ9//tkeDNzd3VW3bl0tXrxY33zzjebMmWOsdiA1sCzL3uusUaNGGj58uH766ScFBwerbdu2ioqK0syZM1WxYkWtXLlSRYsWVf369ZUlSxb169cvwXMAzwquOX8Oxb1+ddOmTYqOjlZ0dLSqVasm6U5X9s2bN2vq1KkqVKiQMmTIoMaNG8vd3V0//vgj16wCBlStWlWvv/668uTJo8aNG2vkyJHq1KmTYmJiNG7cOHl4eKhdu3b29RkHAkgecWc8GD58uNasWSMnJye1bdtWr7/+usLCwjRw4ECtXLlSPXv2lK+vr+bPn69r167p999/V9myZVWhQgWNGjXK8DsBnk9xt9H9+/erZ8+e+uabb+Tl5aWdO3eqZs2aql27tmbNmiV3d3ddvHhRf/31l9KkSaNXXnlFEoO/4dnFkd1zKPbH5oMPPtCCBQsUExOjW7duqVixYpo1a5YWL16sZs2aqXPnzoqMjJS/v78cHBz0xx9/yMHBgamYgGSU2AGBZVkqU6aMFixYoL1799qDuSRdvHhRa9eutQ8OF4tgDiS9uPu/CRMmaOTIkRo4cKBWrFihL7/8Uvv379fAgQM1evRo5cuXTxMmTJCfn5/8/Pz022+/ydnZWc7OzsqcObPhdwI8X65du6YDBw6oZMmS9m20Xbt2OnTokAIDA+Xj4yMnJyeVK1dOa9as0auvvqp27dpp7NixypQpkypXrmx/LoI5nmW0nD+nJk2apAEDBmj16tXy9PTUjRs31LhxY3l7e+uXX35RunTptGHDBl2+fFkODg6qX78+U70AySzuAcGOHTvk5OSkrFmzKmvWrNq/f7/q1q0rDw8Pfffdd3rxxRd19uxZdejQQZcvX9amTZsY/wF4Snbs2KFvvvnGPgq7JH300Uf66aefVLlyZX344Yfy8vLSpUuXlD59evt4D3379tWcOXO0ceNGBQUFmXwLwHOlXr168vf316RJk+zLvvnmG3Xu3Fn58+fXunXrlCFDBvsJtm3btunVV19VhQoV9P3339tnOQGedYTz51TXrl118+ZNTZ8+3b7s0qVLKly4sKpWrWofMCMupnoBno6+fftq6tSpSp8+vaKiojRv3jxVrFhRu3btUv369eXj46PLly8rW7Zsun37tjZv3iwXFxe2UeApWLFihT744ANdv35dc+bMsU+ZZlmWBg8erJ9//lkVKlTQBx98IF9fX0nSrl279O2332r+/PlatWqVihUrZvItAM+1I0eOKHfu3HJyctKSJUvUrFkzde/eXcOGDZOLi4s9oP/666/67rvvNHXqVNMlAw+NPh3PgVu3bikyMjLeshMnTig0NNR+OzIyUt7e3ho0aJD27Nmj8+fPJxg0joN+IHnEPQe6fft2LVy4UMuWLdOsWbNUu3Ztvfbaa1q+fLlKlCih33//XZ988onee+89DRgwQFu3bpWLi4uio6PZRoGnoFq1aqpUqZKuXbumZcuW6ebNm5LujMw+ZMgQ1axZU4sXL9aCBQvsjwkMDFTFihW1ZcsWgjmQxOIer37yyScqVqyYtm3bppiYGDVs2FDffPONxowZowEDBuj27dv2SzQrVqxoD+a0RSKloOU8hVu5cqV++uknnTt3TiNHjlSuXLkkSUuWLFHXrl01YsQItW7d2r7+rFmz9NVXX2njxo3y8vIyVDWQOo0ZM0Y2m003btzQgAEDJN05udarVy9NmzZNCxcuVN26dRM8jhZzIHnc69rTyMhIde/eXTt37lSLFi3UqVMnubu72++fPn26goOD422XjNcCPB2lS5fWxYsXNWPGDJUuXVpOTk6aN2+egoOD9d577+mTTz6Ri4uL6TKBx0LLeQo2c+ZMdenSRXny5FH9+vXtwfzmzZsqV66catWqpUmTJtnPGp45c0YLFy5Urly5uPYGeMquXbumn376Sb169dKpU6ck3TmYd3d31+jRo/X222/rzTff1OLFixM8lmAOJL24wTy2++v27dsVEhIiNzc3jRkzRkWLFtW8efM0ceJE3bp1y/7Ydu3aycnJSTExMfZlBHPgyd3dZhi31Tw6OlqStHXrVnl7eys4OFhbt25VTEyMmjVrplmzZmnkyJFaunTpU60ZSEq0nKdQCxYsUNu2bTVr1iw1atTIflDQp08feXl5qWfPnvr33381duxYffvtt0qXLp08PT2VJk0abd++XS4uLoxWCSSjxFrRTp06pY8++kjLli3TL7/8ouLFi9vXi4yMVLt27RQSEqJffvnFUNVA6hB3++zbt6++//57pUmTRk5OTipRooTeffddlSxZUrdu3VLXrl31zz//qEaNGurbt6998DcAyWfr1q0qXbq0pPgn0uIOXPzKK68oLCxMs2fP1iuvvCInJydt27bNPl0akBIRzlOgc+fOqXHjxqpdu7b69OljX16vXj399NNPypIli7p3764uXbrIyclJJ06c0KZNm+Tn56eaNWsyKjuQzOIeSFy/fl03btywDxx18eJFtW3bVps3b9Yvv/yiIkWK2IPC7du35eTkxEkz4CkZPXq0xowZo3nz5qlcuXLq27evJkyYoPLly2vgwIF65ZVXdOvWLbVo0ULe3t6aMmUKLeRAMluzZo26deumNm3a6MMPP5R074BepkwZnT9/XlOmTFHlypXt2ycNUEip+NamQOHh4Tp48GC8M4OLFy/W/v37de7cObVu3Vrjx4/X2LFjdfHiReXLl09vvfWW6tSpY++GRzAHkodlWfYDgk8//VR16tRR4cKF1bp1ay1dulSZMmXSN998o7Jly6pKlSrat2+fffAaFxcXOTo6JhisEUDSO3v2rDZt2qRhw4apXLlyWrFihSZOnKhmzZopJCREQ4YM0c6dO+Xu7q7vv/9ekydPtm+rAJJPwYIFVbVqVa1cuVKfffaZJMXbNzo7O9svKdmyZYvc3Ny0YsWKeCfOCOZIqWg5T4G2bNmi8uXLa/fu3XrppZfsyy9duiRvb29J0vvvv68ZM2Zow4YNKlGihKlSgVTj7m7sgwYN0tdff61BgwbJzc1N33zzjRwcHPTmm2+qc+fOunDhgjp27KilS5fqyJEjzIkMGLB582YFBQUpNDRU9evXV58+fdS1a1cNHDhQX375pQoVKqTJkyfb97W0xgFPx9mzZzV06FDt2LFDr7/+ur2naNwBUg8dOqTjx4+rZs2aJksFkhR7mBQoffr0cnJy0tq1a+O1sHl7e9sHy2jYsKGKFy8uDw8PU2UCqUZERIQcHBxks9lkWZb+/fdfLVu2TFOnTlW3bt3UoUMHzZs3TwUKFNCcOXO0e/du+fr6asyYMerTp499MEcAySPuwG1xlSpVSlmyZNGKFStUokQJtW/fXpLk5+en//3vf3rttddUuHBh+/oEc+DpyJIli/r376+XX35ZS5cutbegxwbzAwcO6NVXX9WSJUvsj6G9Ec8D9jIpUJEiRfTmm29q6NCh2rhxY7z7nJ2ddePGDX322Wfy9/dX3rx5zRQJpBIffvih3nrrLYWFhcnR0VEODg5KmzatwsPDdePGDUl3WtuyZcumTz75RKdOndLatWslSdmzZ9fw4cPt40AASFqx22DsAf3MmTM1bNgwjR49WpLs0y3dvHlT//33n0JCQiRJv/zyixo2bKjBgwdzqQlgyL0C+okTJ1SnTh0VLFjQPiORxIwJeD4QzlOY2LOC/fr104svvqgmTZpo3rx5OnfunCRp586datCggU6ePKnZs2fbW/MAJA93d3edOXNGH374ocLCwiTdaaVzd3fX7t277evZbDZlzpxZpUqVsk+lFhfjQABJKzg4WDVr1tTVq1clSf3791f37t21fv16DRo0SFWrVtWxY8ck3WlBd3BwUO3atVW4cGEdPHhQ77zzjv0ac1rMATPiBvTly5erR48eqlatml544QWtXr1akjjOxXOFvc0z6sMPP9S///6bYHnsWcH8+fNr3LhxKlOmjJo3b66XXnpJ/v7+atu2rWw2m/bs2SNnZ2dFR0dzUAEkg9gTZR999JEaNWqkv//+W3379tX58+eVOXNmDRo0SGPGjNHYsWPl6OgoR0dHRUVF6d9//5W/v7/h6oHnX8eOHXXw4EG1bdtWJ06c0J9//qnffvtNq1ev1oEDB3Tq1Cm1bNlSp06d0uuvv64BAwborbfeUqNGjfTXX3/ZB52iNQ4wKzaglyxZUuPHj1ehQoW0atUqSYwDgecPA8I9g8LCwpQnTx4VKlRI8+fPV0BAwH3XX7BggUJCQnT79m0VL15cVapUkaOjI9OlAcks7kHBF198ocWLFyt//vwaPny4/Pz89MUXX6hXr16qW7euPD09FRISonPnzmnv3r1sm8BTsHv3br366qsqWLCg0qVLp9mzZ8vPz0/SnQGnypUrJx8fH82fP185c+aM99i4A08BMO/MmTNav369WrZsKYlgjucT4fwZ9e+//6p69erKmDGjFi5cqGzZsj3S4zmoAJLPvQ4IRo8ercWLF6tQoUIaMWKEMmXKpPXr12vOnDm6efOmsmTJolGjRtlb5NhGgaR39/a5c+dONW3aVJcuXdKOHTuUJ08e+zrnzp1ThQoVFBMTo40bNz7yvhaAGQRzPK8I58+YuAfshw8fVqVKlVSqVCmN+3/t3WlcVeX6//HPBjZTDjgkqGlJmuZYTh3POaQN4pBDahJioWnljBoecTpqGphmgTglaKk4IyQnzERzSI9DgUOC5YhZJohHRRRl2PB/4J8VqPU7ndxsi+/72V5rr/2694P7te5r3de6rrlzqVWrlo1HJyLFFwSHDx82irk98cQTAISFhbFmzRoaN25McHAw7u7u5OTk4OTkZPyGslpErKP4/Ny9ezc1a9akTp06HDx4kE6dOvHUU0+xbNky3NzcjPaHP/30E6NHj2bVqlV6YCYiIjal4Pw+NXHiRM6ePUtiYiLHjh3Dy8uLVatW/Z8p7iJiPcV7mY8bN47169eTnZ1Nbm4ufn5+zJw5ExcXF0JDQ1m/fj2NGjVi+vTpuLu73/U3ROTeKT63xo8fT0JCAv3792fAgAE88MADJCUl0bFjR7y8vPjoo49wc3O7Y/dNGS0iImJLCs7vQ2FhYbz99tvEx8fzwAMPkJaWxtChQ6levTrr1q1TgC5iY6GhoQQHBxMbG4vZbObcuXP079+fLl26sGbNGuDWO+gffvghAwYMYNy4cTYesUjZERISQmhoKLGxsTRr1owKFSoY55KSkujUqRNPP/00ERERVK5c2YYjFRERKUnB+X3ojTfeoLCwkMWLFxvHvvvuO7y9vXn88cdZvHixUtxFbKhPnz7UqlWLWbNmGccSExNp06YN06ZNY/z48QCsXbuWl156STtxIqWgsLCQjIwMfHx8eO211+jXr59xrvgOeVJSEq1atWLcuHGEhITYargiIiJ3UCWF+9CFCxdITU01Pufn59OgQQOGDBnCli1b6NatGxkZGTYcoUjZcfvzyxs3bnDs2DGuX79uHMvNzaVly5YEBQWxceNGrly5AsDLL7+Mvb09FoulNIcsUmYU729sMpmws7Pj1KlTd/Q9trOz4+bNm5w7d44WLVpw9OhRpk+fXtrDFRER+VUKzm3o9sVDkUGDBnH8+HEWLVoEYBSOqlGjBv3796dhw4ZKxRMpBQUFBcY7rAcPHuTKlSu4uLjQt29fPv30U7788ksAHB0dAXB1dcXe3r5EGi2gnXMRKynaDT906BAWi4Xc3FxcXFyMB9zFH4wlJyczb948MjIyaNCggVHMUURE5H6h4NxGiqfYbdq0icWLF5OcnExubi5t2rSha9euLF26lPDwcOBWP9bo6Gjq1avHypUrtRsnYmWFhYXGHJ04cSIBAQFER0dTUFDAs88+S6tWrZg2bRo7duwA4OrVq3z55ZfUrl1b7V1ESlF8fDxt27YlKyuLGjVqMGrUKIKDg1mxYoXxYOz69etMnjyZ1NRUqlatalyrrgkiInI/0TvnNjZ27FgiIiKoUqUKFy5cIDAwkICAALKzswkLC2Pp0qWYzWZcXFwoX748iYmJmM1mWw9bpMx4++23mTt3LtHR0TRu3JgHH3wQgK1btxIZGUl8fDx169bFYrFgZ2dHUlISZrNZVdlFrOT2uZWUlISPjw9ff/01lStXJicnhxkzZjBt2jR69OiByWTiwoULXL58mQMHDmh+iojIfUvBeSkrviDYt2+fUZCmdevWhIWFERERQffu3QkKCqJKlSqcPXuWhIQEKlWqxIsvvoiDg4N6JIuUku+//x4fHx+CgoLo2bMnUHIOp6WlcfjwYQ4dOoS7uzuvvPKK5qiIFRVvdVY0z65evUr9+vVZsmQJnTt3Nr4bHx9PfHw82dnZ1KlTh3/+85+anyIicl/T3amUFS3qIyMjSUxMpF69evz1r38FYMyYMTg4OLBgwQJMJhODBg3i0Ucf5Y033jCut1gsWlSIlBKLxcLp06dxcnIyjhXN4dzcXFxdXenQoQMdOnQocY3mqIh1FAXm7777LkePHqVBgwY4OzvzyCOPkJ2dXeLhWZcuXejSpUuJ6zU/RUTkfqY7lI0cOnSIyMhImjdvTkZGhpEqO2rUKEwmExEREWRmZjJ16lSqV69uXKfCUiLWUbSoL764v3nzJo6Ojly6dAkouWu3d+9e9u/fz4gRI3BxcTF+R3NU5N6bM2cOp06dMuqwXLp0iSpVqhAbG4uzszP79+/H19eXHj164OLiQqNGjahduzbt2rXTPVRERP4wFJyXguLF34rMnz+fatWqsWDBAj766CMGDBhgBOgjR44kKyuLlJQUPDw8bDFkkTKl+BzNy8szqq83bNiQrl27MmLECOrXr0/r1q0ByM7OZtasWdSoUQNnZ2ebjVukLIiIiCAwMJBVq1YZx2bNmgVATk4OTk5OvPrqq2zfvp127drx+eef88knn+Dq6srLL79sq2GLiIj8Znrn3MqKL/pPnDhBYWEhzs7O1K5dG4DAwEBiYmIICAjA39+/RBXZu+3kici9VXyOzpkzhx07dlBYWEjt2rUJDw8nOzubAQMG8MknnzB48GAAvvnmGzIyMjh48KCKS4lY0aJFixg2bBgxMTF07979jvNF2SwLFixgw4YNJCQkGOd0DxURkT8a9fuxottbMfXq1YtWrVrx0ksvMXLkSADef/99evXqxdy5c1mxYgUXLlwwrteiQsT6iubo+PHjmT59Og0bNqRatWr861//onnz5mRmZrJmzRqmTp3K2bNnOXHiBE2bNuXQoUOYzWby8/M1R0WsYMmSJQQEBBAXF1ciMB80aBCrV68Gfk5Tb9iwIYmJiZw9e9ZoM2oymSgoKND8FBGRPwztnJeCd999l/fee4+VK1dSUFDAsWPHmD59Op07d2bFihUABAUFMWfOHJYuXYqvr6+NRyxStnz77bd06dKF+fPn07FjRwDOnDlDr169MJlMJCYmAreKwBWlvAOq+ixiJadPn+app56iWbNmbN261Tjeq1cvjh8/zueff07NmjWN48eOHaNVq1YkJSVRr149WwxZRETkd9POuZVlZ2ezZ88eJk6cSMeOHencuTNDhw5l6dKlbN68mdmzZwMwc+ZMPvjgA3r37m3jEYuUPZmZmVy+fJn69esDt7JeHnnkEZYtW0ZaWprxEK14ManCwkIF5iJW4ubmxuTJk0lJSWHcuHEA+Pj4cPz4ceLj46lZsybF9xY8PDzo3bs3np6ethqyiIjI76bg/B67WyLCd999x5kzZ4zPTk5OdOjQgRdeeIHDhw+Tn58PwNChQ7G3tzdS8kTk3rvbHG3YsCHlypUjJiYG+LldWo0aNXB1dSUzMxMoGZwrVVbEeipXroy/vz+TJ08mMjKShx56iJMnT5KQkMDDDz9c4pWv9957DxcXF5YsWaJ7qIiI/KEpOL/HihYLERER7Nq1C1dXV3r16sV3333HgQMHjO85OTlRvXp1fvrppzt+Q61eRKzDYrEYc/TatWvcuHEDAEdHR7p27crGjRuNd1kBXFxcqFChQolUdhEpHRUrVsTPz4+QkBAAnnzySaMtWtE87ty5MzNmzChx39Q9VERE/qgUnFvBTz/9xJIlS9i7dy8Azz77LOfPn2fRokXs27cPgKtXr/LVV19Rr149pcaKWNnWrVvJysoyFu3Tpk2jZ8+e/OUvfyE6OhpnZ2f+8Y9/UKVKFWbPns2AAQNYsGABnTt3Jjc3lwEDBtj4H4j8eRUvhHq7ihUr4uPjw6RJk4iLi2P06NHGuU6dOpGamkp6ejr29vYUFBSUxnBFRESsRgXhrCQoKIg1a9Zw/PhxnJyciIuLY/r06WRnZ+Ps7Iy9vT03b97kwIEDasUkYkXLly+nf//+REZGMnDgQObOncv06dMJCAggJSWFmJgYJk2axIQJE0hPT2fdunUsX76cSpUq4eHhwbJlyzCbzUbLJhG5d8aMGUNGRgZTp06lTp06v/i9zMxMVq1axeTJk+nXrx9nzpzhyJEjJCcnG10T9KBbRET+6BSc/07FeyTDzz1XL168iLe3N35+fgQGBmIymThy5AgnT55k7969PPLII7z55ps4ODhoUSFiZWPHjiU8PJwlS5bwzTff8Oyzz9KhQwcAQkNDmTJlCoGBgQQGBlKuXDkAbty4gYuLC6Cq7CLWEhwcTGxsLF5eXgQEBPxqQbeitoZDhw6lbt26CsxFRORPR3ez36koMP/4449p27YtlStXxs3NjXLlytGyZUu2bt3KmDFjAGjSpAlNmjShR48exvUWi0WLChErKXpYNmvWLPLy8ujXrx+VK1fm6aefNr4zevRoTCYTU6ZMwd7env79+/PQQw8Zgbmqsovce0XZYhMnTqR8+fIsXbqUwsJCRo4c+YsBesWKFenduzceHh506dIFe3t7BeYiIvKnop3ze+D8+fM8++yz3Lx5k6ZNmzJw4EC6devGjz/+SPPmzZk1axb9+/e39TBFypTt27eTmJjIDz/8QHh4OAAhISFMmjTJ2Ckv2iUHmDt3LiNHjmTJkiW89tprthq2SJlRPPMsLCyM5cuX4+Xl9asBenF61URERP5s9Lj5f3B7Knv16tX59ttvWbduHbt27cLHx4du3brRrFkzfH192b17N3379sXe3r7EdSJiHUuXLiU4OJgePXpQrVo14/iECRO4du0a77zzDjVr1sTPzw9XV1cARowYgYeHR4nMFhG594p2zYvfD0eNGkVhYSFRUVEA/1WArsBcRET+bLRz/hsVD8w//fRTrly5wqVLlxg8eDBOTk4A7Nmzh4SEBNavX8/Ro0cxm80kJSXRuHFjFX4TsbK1a9fy2muvsWzZMnr27Gks4IunvwYFBREaGsqCBQtKBOhFlCorYh3F76EXLlwgLy+PatWqYTabAXj//fdZuXIlXl5ejBo16leLxImIiPzZKDj/H40dO5Y1a9bQoEEDTp06haurKyEhIXTu3Nlo6ZKbm0tkZCQrV67kscceY/HixeqXLGJF6enp+Pj40LVrV6PWQ3HFA4OgoCDCw8N59913SzxcExHrKD7/3n77bbZs2cLhw4fx8/PD29ubXr16AbcC9FWrVvH0008zdOhQ6tWrZ8thi4iIlBrlWP8Pli5dSlRUFPHx8SQkJBAaGkpKSgpOTk4l0uycnZ0ZMWIEr776KocPHyY7O9uGoxb588vOzubo0aM0b978rueLZ63MnDmTV199ldjYWD00EykFRYH55MmTmT9/PgEBAcTGxnL06FFmzJjBxx9/DEBgYCCvvPIK0dHRbNy40ZZDFhERKVUKzv8Hqamp+Pj40LRpU1avXo2/vz/z58/H29ub7Oxsrl+/jp2dHRaLBYA+ffqQkZFBcnKyjUcu8ueWnp7Of/7zH+M989sTg0wmEydPniQgIACAiIgIduzYgclkuuO7InLvbd++ndjYWDZs2ICPjw/Ozs58/fXXmM1m5s2bx8qVK4FbXRRmz57NiBEjbDxiERGR0qPg/DfIy8sD4Ntvv8VsNpOYmMibb77JjBkzGDJkCIWFhcybN894+l+0i75s2TJyc3P17pyIlVWqVImKFSsSHR1Ndnb2Xes7HDlyhLNnz3L9+nUAIzBXLQiRe6+goKDEZ09PT/z9/fnLX/7C5s2b6dGjBwsXLiQqKooLFy4wa9Ys5s6dC4Cvry/29vbGg24REZE/OwXnv+KLL74gNDSUsWPHkpWVZRSs6d+/P9HR0bRu3Zp58+YxZMgQ4FZK7Y4dO/jhhx9K/I6zszPbtm2jZs2apf4fRMqS+vXr07FjR8LDw9m2bRs5OTklzt+4cYNVq1bxyCOP8MADDxjHFZiLWEdRKvulS5cAqF27NoMHDyY/P5/58+czfPhw/P39qVu3Lk2aNCEvL4+TJ0+WyGRRVXYRESkrFJz/gsWLF+Pn58fGjRtZsWIFrVq1MnbOGzVqRPv27Xnsscewt7cnLy+Po0eP0rt3b9LT0wkODgZ+3jEYMmQITZs2tdl/ESkLiuZbeHg4jRo14vXXXycqKor09HQADh8+zIsvvsjp06eZPXs2cGfau4jce6tWraJ27docO3YMk8lEhQoVsFgspKamYjabsbe3Jzs7m0qVKjFlyhTCwsL0qomIiJRJqtZ+F4sWLWL48OGsW7eO9u3bk5aWRrt27YiNjaVVq1aYTCZSUlL44IMPiImJwcnJCXd3dypVqsTWrVsxm81YLBY97RexkdOnTzN8+HC2bNlCuXLlcHV1pUqVKlStWpXNmzdrjoqUorS0NHx9ffnhhx/YtGkTjz32GJcuXWLIkCFcvXqVVq1asW/fPq5cucK+ffuws7MrUdldRESkrFBwfpsNGzbQs2dP4uLi6Nq1K3ArFfaJJ57gueeeIyUlhd69e+Pn50eFChU4deoUKSkp1KpVixYtWmBnZ6ceySJW9FsW7evXr+f8+fPk5eXRrFkznnnmGc1RESu6fX4W1XO4cOECfn5+nDhxgoSEBOrXr8/OnTtZuHAhqampVK9enejoaMxmswJzEREps7Q6LSYnJ4fNmzfj6enJ6dOnjeN9+/YlKyuLChUqUL58eUaPHs25c+eYMmUK9evXp379+sZ3CwoKtOgXsZLii/aYmBhcXFzo0KHDHTvgRd976aWX7vobmqMi1lE0P5csWULv3r2pUKEChYWFVKtWjdWrV9OnTx/at2/Pli1baNu2LS1atMBsNuPo6IjJZNKDMxERKdO0c36b8+fPM3PmTPbv34+vry+7d+/m5MmTxMbGGtXW/f39SUhIIDk5mapVq9p4xCJlQ/GK6kFBQaxevZpp06bRqVMn3N3d7/iOiJSe4nPv4sWLPPHEE7i5ubF3717Kly9vnE9NTaVdu3ZUqVKFqKgoGjVqZPyGdsxFRKSs013wNtWrV2fcuHG0bNmSOXPmsG3bNuLj46lTpw7Z2dkA/P3vf6d27dp3tIgREespWvi/9957LF++nLVr19K/f38jMC8oKDB23kSkdBXNz5ycnBK1Hby8vMjKyjLOu7u7U79+fVJSUpg4cWKJ31BgLiIiZZ3uhHfh4eHBpEmT6Nq1K3Xq1GH16tUAuLq6kp+fz/r16/H09OTBBx+08UhF/vyKknsKCwu5fv06X3zxBaNHj6ZNmzacOXOGjRs34uvry+uvv05WVhYODg6q8ixSSoo/pA4JCWH8+PFcvHiRRo0asXLlSiwWC15eXly9ehUAR0dHPDw8+Oqrr4iNjbXVsEVERO5LCs5/gbu7O+PHj6dNmzZER0cbrZd69uzJuXPnWLFihVq9iFjZpk2baNeuHTk5OZhMJsxmM66urhw+fJjIyEiGDx9OaGgo169fJykpiT59+hg76CJiXcXT0E+fPs2JEyeYM2cOH374IVeuXKFhw4asXbsWk8lE48aNGTFiBF5eXnz77bc0adIEOzs7LBaLjf+FiIjI/UPB+a/w8PBg4sSJPPXUU3zyySe4u7tz7NgxDh06hIODA/n5+QoCRKzo+eefJzU1ld69e5OTk4OjoyPPP/88ly5dYsyYMbRs2ZJ33nmHTz/9lO7du+Pm5qbUWJFSUjTXAgMDeeGFFzCbzbRu3ZrJkycza9YsI0DfsWMHzz//POfOnaNu3brs2bPHaJemdoYiIiI/U0G4/0JaWhpBQUFkZGQQFxeH2WxWRVkRKyooKKCwsBB7e3vy8vLw9PSkVq1a7NmzB4CMjAxycnJ46KGHjGu8vb2pU6cOixYtstWwRcoMi8WCvb09n3/+Ob6+vmzZsoWWLVtiMplYuHAhw4YNY/z48YwaNcp4BSwvLw+z2Qyge6iIiMhd6M74X/Dw8CAsLIyKFSuqR7JIKSjakdu1axdeXl6cOnWK+Ph443zRYj8rK4sjR44wbdo00tLS+OyzzwBVbRexlsTERFq2bGnseOfk5ODu7o6np6fxnSFDhnDjxg3Gjh3LAw88wIABA/Dw8DAC88LCQt1DRURE7kL5n/+lSpUqGWl4WlSIWF9iYiJt27bliy++wNHRkZ49ewKUqPOwb98+3n//fVxdXUlKSsLBwQGLxaLAXMQKPvzwQ7p168Z3331nHHNxceH06dOkp6djMpnIzc0FoFOnTjg7OzNlyhTmzp3LpUuXjGs0P0VERO5OUeZvpPdZRUpH9erVeeaZZ0hOTua5554z0miLL+zbt29P9erVadiwobJaRKwoIiKCYcOGsX79eho0aGAc9/b2plOnTvTt25f169fz6KOPAre6mwwePBhPT0+GDx+OnZ0dI0eOpGrVqrb6CyIiIvc9RZoiYnPF2zEVqVmzJl5eXgQHB5OZmXlH4aiiHfTGjRsrq0XEihYtWsSwYcOIjo6mR48exvH9+/cDtwrCeXh44O3tTUxMDHFxcQwaNIhDhw4xdOhQoqKiCA4OZuHChXed6yIiInKLCsKJyH3j1KlTVKlSBTc3N+DWO+XPP/88PXv2ZOzYsYBSYkVK04YNG+jZsydxcXF07drVON69e3cqVqzIRx99hIODA0lJSSxcuJCYmBg8PDyoVq0aCQkJODk5AbBmzRqaNm1Kw4YNbfVXRERE7nvaOReR+0JcXBxNmjThtddeIzo6mvz8fMqXL8/f/vY3Nm/ejMlkwmQyoeeJIqUjJyeHzZs34+npSWpqqnH8pZde4sSJE0ybNs3IVmnRogWLFy/m4MGD7Ny5k+3bt+Pk5GS8g+7r66vAXERE5P+gnXMRsYmCgoI7ajhERUVx5MgRwsPD6dChA97e3nTo0IGWLVsSHh6Ov7+/jUYrUjadP3+emTNnsn//fnx9fdm9ezfHjx/nk08+wdPT0+iMcLcOCXeb4yIiIvLLFJyLSKkrvmj//vvvycnJ4bHHHjPOHzp0iJiYGNatW4eDgwMXLlzgueeeY/ny5Tg4OGjBL1KK0tLSCA4OZuPGjWRmZvLNN99Qs2bNEn3LX3jhBZo1a0ZISIiNRysiIvLHpeBcRGxmwoQJrF69mhs3btCyZUs+/PBDatSoYRR4A5g9ezZ79+7ls88+Y9euXbRu3drGoxYpe9LT0wkJCeHf//43vr6+jBkzBgCLxUK3bt04efIkycnJRrAuIiIiv52CcxEpNcV3zFevXs348eOZOXMmAFOnTsXV1ZWoqKg73k29evUqgwYNwtHRkcjISMxmswrDiZSyoh30r776it69ezNmzBi6d+/OsWPHOHLkCGazWe0MRUREfgcF5yJS6uLi4vjpp59wcHDgjTfeAODy5ct4eXnh6OjIypUrefzxx0tcM3PmTDZt2sSOHTtsMGIRgVsBekhICElJSZw8eRI3Nzdjx1yBuYiIyO+jFzdFpFRdvHgRPz8/hg0bxvnz54FbPcsrVarE7t27ycvLw9/fnyNHjpS47tq1a5w7d46rV6/aYtgiAnh4eDBhwgTq1q1LixYtFJiLiIjcQwrORcSqbk/OqVq1Kl9//TUNGjRg8+bNpKWlGdWe3dzc2LVrF99//z0ffPCBcc2PP/7ImTNnWLduHRUqVCjtvyAixXh4eBAWFkZ8fLwCcxERkXtIae0iYjUWiwV7e3sA8vPzAYxFfHJyMt7e3jRr1oyoqCiqVq1qtGO6du0aLi4uxrUA2dnZuLq6lv6fEJFfpHZpIiIi946CcxGxiqysLMqXLw/A+++/T2JiIsePH6dPnz60bduWVq1akZycTPv27XnyySeJioqiSpUqJfolWywW7OzsVPxNRERERP709LhbRO65qKgoQkNDARg3bhwhISE0aNCARo0aER0dzVtvvcW2bdto3LgxW7duJTk5mU6dOpGZmVkiELe3t1dgLiIiIiJlgl4SE5F7atGiRQwZMoTPPvuMEydOsGHDBtavX88zzzwDwPbt24mIiGDGjBk8/PDDNGrUiE8//ZQpU6YYO+0iIiIiImWNds5F5J6JiopixIgRxMfH07FjR65du0Z6enqJYlHPPPMM/fr148SJE/z4448ANGvWjA0bNmBnZ0dBQYGthi8iIiIiYjMKzkXknli6dCn9+vWjXbt2dO7cGQCz2Uy1atX4/vvvgZ8rt3fs2BEnJyd27dp1x++ouJSIiIiIlEVaBYvI7xYZGcnAgQMZOHAgKSkpBAQEANC4cWNat25NYGAge/bsMd4fv3z5Mq6urtSqVcuWwxYRERERuW+oWruI/C5hYWG89dZbbNy4kU6dOrFo0SImTZrEyy+/zLx58wDo0qUL+/btw9/fnwcffJDt27eTlpbGgQMH1B9ZRERERAQF5yLyO+3cuZPz58/j6+sLQGZmJmvXrmXixIklAvTx48dz5MgRLl++TN26dVm8eDFms7lEL3QRERERkbJKwbmI3BPF+5NfvXqVNWvW3BGgZ2dnY2dnh7OzMwD5+fnaORcRERERQa3UROQeKd6PvEKFCsZO+qRJk7C3t2fOnDm4uroa3yksLFRgLiIiIiLy/2llLCJWURSgm0wmBg0ahKenJyNHjjTOFw/mRURERETKOqW1i4hVXblyhZ07d9KlSxe9Wy4iIiIi8gsUnItIqdE75iIiIiIid6fgXERERERERMTG7Gw9ABEREREREZGyTsG5iIiIiIiIiI0pOBcRERERERGxMQXnIiIiIiIiIjam4FxERERERETExhSci4iIiIiIiNiYgnMRERERERERG1NwLiIiIiIiImJjCs5FREREREREbEzBuYiIiIiIiIiNKTgXERERERERsbH/B+wQf/r8WspVAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter the DataFrame to include only columns with \"70%\" or \"92%\" in their names\n",
    "chocolates_70_92_df = df.filter(like='(70%)').join(df.filter(like='(92%)'))\n",
    "\n",
    "# Sort columns by their median values\n",
    "sorted_columns_70_92 = chocolates_70_92_df.median().sort_values().index\n",
    "chocolates_70_92_df = chocolates_70_92_df[sorted_columns_70_92]\n",
    "\n",
    "# Plot a box plot for the filtered DataFrame\n",
    "plt.figure(figsize=(12, 8))\n",
    "ax = sns.boxplot(data=chocolates_70_92_df, palette='Spectral')\n",
    "ax.set_ylabel('Rating')\n",
    "ax.set_title('Rating Distributions for Chocolates (70% or 92%)')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_655806/2002766064.py:25: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  ax = sns.boxplot(x='Category', y='Rating', data=melted_df, palette='Spectral')\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Aggregate the data into three categories\n",
    "milk_df = chocolates_30_df\n",
    "dark_df = chocolates_40_50_df\n",
    "extra_dark_df = chocolates_70_92_df\n",
    "\n",
    "# Combine the dataframes into a single dataframe with a new column indicating the category\n",
    "milk_df['Category'] = 'Milk (30%)'\n",
    "dark_df['Category'] = 'Dark (40-50%)'\n",
    "extra_dark_df['Category'] = 'Extra Dark (70-92%)'\n",
    "\n",
    "# Concatenate the dataframes\n",
    "aggregated_df = pd.concat([milk_df, dark_df, extra_dark_df])\n",
    "\n",
    "# Melt the dataframe to have a long format suitable for seaborn boxplot\n",
    "melted_df = aggregated_df.reset_index().melt(id_vars=['Name', 'Category'], var_name='Chocolate', value_name='Rating')\n",
    "\n",
    "# Sort the melted dataframe by the median rating of each chocolate\n",
    "median_ratings = melted_df.groupby('Chocolate')['Rating'].median().sort_values()\n",
    "sorted_chocolates = median_ratings.index\n",
    "melted_df['Chocolate'] = pd.Categorical(melted_df['Chocolate'], categories=sorted_chocolates, ordered=True)\n",
    "melted_df.sort_values('Chocolate', inplace=True)\n",
    "\n",
    "# Plot the box plot for the aggregated categories\n",
    "plt.figure(figsize=(12, 8))\n",
    "ax = sns.boxplot(x='Category', y='Rating', data=melted_df, palette='Spectral')\n",
    "ax.set_ylabel('Rating')\n",
    "ax.set_title('Rating Distributions for Milk, Dark, and Extra Dark Chocolates')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Transpose the DataFrame to have rows as columns\n",
    "df_transposed = df.T\n",
    "# Sort columns by their median values\n",
    "sorted_columns = df_transposed.median().sort_values().index\n",
    "df_transposed = df_transposed[sorted_columns]\n",
    "# Plot a box plot for each row\n",
    "plt.figure(figsize=(12, 8))\n",
    "ax = sns.boxplot(data=df_transposed, palette='Spectral')\n",
    "ax.set_ylabel('Rating')\n",
    "ax.set_title('Rating Distributions for Each Row')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "table-talk",
   "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": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}