{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this post I will explore the dataset relate to Kaggle's competition \"[What's cooking?](https://www.kaggle.com/c/whats-cooking) to get understanding what kind of data we are dealing with. Getting know your data helps to clean-up the data in preprocessing in order to prepare dataset for classification.\n",
    "\n",
    "\n",
    "[![Open In Colab](../images/badges/colab.svg)](https://colab.research.google.com/github/izikeros/blog/blob/master/content/posts/notebooks/2018-04-05-whats_cooking_NLP.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/izikeros/blog/master?labpath=content%2Fposts%2Fnotebooks%2F2018-04-05-whats_cooking_NLP.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train = pd.read_json(\"train.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cuisine</th>\n",
       "      <th>id</th>\n",
       "      <th>ingredients</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>greek</td>\n",
       "      <td>10259</td>\n",
       "      <td>[romaine lettuce, black olives, grape tomatoes...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>southern_us</td>\n",
       "      <td>25693</td>\n",
       "      <td>[plain flour, ground pepper, salt, tomatoes, g...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>filipino</td>\n",
       "      <td>20130</td>\n",
       "      <td>[eggs, pepper, salt, mayonaise, cooking oil, g...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>indian</td>\n",
       "      <td>22213</td>\n",
       "      <td>[water, vegetable oil, wheat, salt]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>indian</td>\n",
       "      <td>13162</td>\n",
       "      <td>[black pepper, shallots, cornflour, cayenne pe...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       cuisine     id                                        ingredients\n",
       "0        greek  10259  [romaine lettuce, black olives, grape tomatoes...\n",
       "1  southern_us  25693  [plain flour, ground pepper, salt, tomatoes, g...\n",
       "2     filipino  20130  [eggs, pepper, salt, mayonaise, cooking oil, g...\n",
       "3       indian  22213                [water, vegetable oil, wheat, salt]\n",
       "4       indian  13162  [black pepper, shallots, cornflour, cayenne pe..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How the different cuisines are represented in dataset?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.style.use(\"fivethirtyeight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_train[\"cuisine\"].value_counts().plot(kind=\"barh\", figsize=(8, 6));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What are the most common ingredients?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import Counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "counters = {}\n",
    "for cuisine in df_train[\"cuisine\"].unique():\n",
    "    counters[cuisine] = Counter()\n",
    "    indices = df_train[\"cuisine\"] == cuisine\n",
    "    for ingredients in df_train[indices][\"ingredients\"]:\n",
    "        counters[cuisine].update(ingredients)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What are the most used ingredients in different cuisines?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('salt', 3454),\n",
       " ('olive oil', 3111),\n",
       " ('garlic cloves', 1619),\n",
       " ('grated parmesan cheese', 1580),\n",
       " ('garlic', 1471),\n",
       " ('ground black pepper', 1444),\n",
       " ('extra-virgin olive oil', 1362),\n",
       " ('onions', 1240),\n",
       " ('water', 1052),\n",
       " ('butter', 1030)]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counters[\"italian\"].most_common(10)"
   ]
  },
  {
   "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>top1</th>\n",
       "      <th>top2</th>\n",
       "      <th>top3</th>\n",
       "      <th>top4</th>\n",
       "      <th>top5</th>\n",
       "      <th>top6</th>\n",
       "      <th>top7</th>\n",
       "      <th>top8</th>\n",
       "      <th>top9</th>\n",
       "      <th>top10</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>greek</th>\n",
       "      <td>salt</td>\n",
       "      <td>olive oil</td>\n",
       "      <td>dried oregano</td>\n",
       "      <td>garlic cloves</td>\n",
       "      <td>feta cheese crumbles</td>\n",
       "      <td>extra-virgin olive oil</td>\n",
       "      <td>fresh lemon juice</td>\n",
       "      <td>ground black pepper</td>\n",
       "      <td>garlic</td>\n",
       "      <td>pepper</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>southern_us</th>\n",
       "      <td>salt</td>\n",
       "      <td>butter</td>\n",
       "      <td>all-purpose flour</td>\n",
       "      <td>sugar</td>\n",
       "      <td>large eggs</td>\n",
       "      <td>baking powder</td>\n",
       "      <td>water</td>\n",
       "      <td>unsalted butter</td>\n",
       "      <td>milk</td>\n",
       "      <td>buttermilk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>filipino</th>\n",
       "      <td>salt</td>\n",
       "      <td>garlic</td>\n",
       "      <td>water</td>\n",
       "      <td>onions</td>\n",
       "      <td>soy sauce</td>\n",
       "      <td>pepper</td>\n",
       "      <td>oil</td>\n",
       "      <td>sugar</td>\n",
       "      <td>carrots</td>\n",
       "      <td>ground black pepper</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>indian</th>\n",
       "      <td>salt</td>\n",
       "      <td>onions</td>\n",
       "      <td>garam masala</td>\n",
       "      <td>water</td>\n",
       "      <td>ground turmeric</td>\n",
       "      <td>garlic</td>\n",
       "      <td>cumin seed</td>\n",
       "      <td>ground cumin</td>\n",
       "      <td>vegetable oil</td>\n",
       "      <td>oil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jamaican</th>\n",
       "      <td>salt</td>\n",
       "      <td>onions</td>\n",
       "      <td>water</td>\n",
       "      <td>garlic</td>\n",
       "      <td>ground allspice</td>\n",
       "      <td>pepper</td>\n",
       "      <td>scallions</td>\n",
       "      <td>dried thyme</td>\n",
       "      <td>black pepper</td>\n",
       "      <td>garlic cloves</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>spanish</th>\n",
       "      <td>salt</td>\n",
       "      <td>olive oil</td>\n",
       "      <td>garlic cloves</td>\n",
       "      <td>extra-virgin olive oil</td>\n",
       "      <td>onions</td>\n",
       "      <td>water</td>\n",
       "      <td>tomatoes</td>\n",
       "      <td>ground black pepper</td>\n",
       "      <td>red bell pepper</td>\n",
       "      <td>pepper</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>italian</th>\n",
       "      <td>salt</td>\n",
       "      <td>olive oil</td>\n",
       "      <td>garlic cloves</td>\n",
       "      <td>grated parmesan cheese</td>\n",
       "      <td>garlic</td>\n",
       "      <td>ground black pepper</td>\n",
       "      <td>extra-virgin olive oil</td>\n",
       "      <td>onions</td>\n",
       "      <td>water</td>\n",
       "      <td>butter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mexican</th>\n",
       "      <td>salt</td>\n",
       "      <td>onions</td>\n",
       "      <td>ground cumin</td>\n",
       "      <td>garlic</td>\n",
       "      <td>olive oil</td>\n",
       "      <td>chili powder</td>\n",
       "      <td>jalapeno chilies</td>\n",
       "      <td>sour cream</td>\n",
       "      <td>avocado</td>\n",
       "      <td>corn tortillas</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             top1       top2               top3                    top4  \\\n",
       "greek        salt  olive oil      dried oregano           garlic cloves   \n",
       "southern_us  salt     butter  all-purpose flour                   sugar   \n",
       "filipino     salt     garlic              water                  onions   \n",
       "indian       salt     onions       garam masala                   water   \n",
       "jamaican     salt     onions              water                  garlic   \n",
       "spanish      salt  olive oil      garlic cloves  extra-virgin olive oil   \n",
       "italian      salt  olive oil      garlic cloves  grated parmesan cheese   \n",
       "mexican      salt     onions       ground cumin                  garlic   \n",
       "\n",
       "                             top5                    top6  \\\n",
       "greek        feta cheese crumbles  extra-virgin olive oil   \n",
       "southern_us            large eggs           baking powder   \n",
       "filipino                soy sauce                  pepper   \n",
       "indian            ground turmeric                  garlic   \n",
       "jamaican          ground allspice                  pepper   \n",
       "spanish                    onions                   water   \n",
       "italian                    garlic     ground black pepper   \n",
       "mexican                 olive oil            chili powder   \n",
       "\n",
       "                               top7                 top8             top9  \\\n",
       "greek             fresh lemon juice  ground black pepper           garlic   \n",
       "southern_us                   water      unsalted butter             milk   \n",
       "filipino                        oil                sugar          carrots   \n",
       "indian                   cumin seed         ground cumin    vegetable oil   \n",
       "jamaican                  scallions          dried thyme     black pepper   \n",
       "spanish                    tomatoes  ground black pepper  red bell pepper   \n",
       "italian      extra-virgin olive oil               onions            water   \n",
       "mexican            jalapeno chilies           sour cream          avocado   \n",
       "\n",
       "                           top10  \n",
       "greek                     pepper  \n",
       "southern_us           buttermilk  \n",
       "filipino     ground black pepper  \n",
       "indian                       oil  \n",
       "jamaican           garlic cloves  \n",
       "spanish                   pepper  \n",
       "italian                   butter  \n",
       "mexican           corn tortillas  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top10 = pd.DataFrame(\n",
    "    [[items[0] for items in counters[cuisine].most_common(10)] for cuisine in counters],\n",
    "    index=[cuisine for cuisine in counters],\n",
    "    columns=[\"top{}\".format(i) for i in range(1, 11)],\n",
    ")\n",
    "display(top10.head(8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train[\"all_ingredients\"] = df_train[\"ingredients\"].map(\";\".join)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>cuisine</th>\n",
       "      <th>id</th>\n",
       "      <th>ingredients</th>\n",
       "      <th>all_ingredients</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>greek</td>\n",
       "      <td>10259</td>\n",
       "      <td>[romaine lettuce, black olives, grape tomatoes...</td>\n",
       "      <td>romaine lettuce;black olives;grape tomatoes;ga...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>southern_us</td>\n",
       "      <td>25693</td>\n",
       "      <td>[plain flour, ground pepper, salt, tomatoes, g...</td>\n",
       "      <td>plain flour;ground pepper;salt;tomatoes;ground...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>filipino</td>\n",
       "      <td>20130</td>\n",
       "      <td>[eggs, pepper, salt, mayonaise, cooking oil, g...</td>\n",
       "      <td>eggs;pepper;salt;mayonaise;cooking oil;green c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>indian</td>\n",
       "      <td>22213</td>\n",
       "      <td>[water, vegetable oil, wheat, salt]</td>\n",
       "      <td>water;vegetable oil;wheat;salt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>indian</td>\n",
       "      <td>13162</td>\n",
       "      <td>[black pepper, shallots, cornflour, cayenne pe...</td>\n",
       "      <td>black pepper;shallots;cornflour;cayenne pepper...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       cuisine     id                                        ingredients  \\\n",
       "0        greek  10259  [romaine lettuce, black olives, grape tomatoes...   \n",
       "1  southern_us  25693  [plain flour, ground pepper, salt, tomatoes, g...   \n",
       "2     filipino  20130  [eggs, pepper, salt, mayonaise, cooking oil, g...   \n",
       "3       indian  22213                [water, vegetable oil, wheat, salt]   \n",
       "4       indian  13162  [black pepper, shallots, cornflour, cayenne pe...   \n",
       "\n",
       "                                     all_ingredients  \n",
       "0  romaine lettuce;black olives;grape tomatoes;ga...  \n",
       "1  plain flour;ground pepper;salt;tomatoes;ground...  \n",
       "2  eggs;pepper;salt;mayonaise;cooking oil;green c...  \n",
       "3                     water;vegetable oil;wheat;salt  \n",
       "4  black pepper;shallots;cornflour;cayenne pepper...  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check garlic cloves as differentiator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "indices = df_train[\"all_ingredients\"].str.contains(\"garlic cloves\")\n",
    "df_train[indices][\"cuisine\"].value_counts().plot(\n",
    "    kind=\"barh\", title=\"garlic cloves per cuisine\", figsize=(8, 6)\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "relative_freq = (\n",
    "    df_train[indices][\"cuisine\"].value_counts() / df_train[\"cuisine\"].value_counts()\n",
    ")\n",
    "relative_freq.sort_values(inplace=True)\n",
    "relative_freq.plot(kind=\"barh\", figsize=(8, 6));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['all-purpose flour', 'avocado', 'baking powder', 'baking soda',\n",
       "       'black pepper', 'butter', 'buttermilk', 'cachaca',\n",
       "       'cajun seasoning', 'carrots', 'cayenne pepper', 'chili powder',\n",
       "       'coconut milk', 'corn starch', 'corn tortillas', 'cumin seed',\n",
       "       'dried oregano', 'dried thyme', 'eggs', 'extra-virgin olive oil',\n",
       "       'feta cheese crumbles', 'fish sauce', 'fresh lemon juice',\n",
       "       'fresh lime juice', 'garam masala', 'garlic', 'garlic cloves',\n",
       "       'ginger', 'grated parmesan cheese', 'green bell pepper',\n",
       "       'green onions', 'ground allspice', 'ground black pepper',\n",
       "       'ground cinnamon', 'ground cumin', 'ground ginger',\n",
       "       'ground turmeric', 'jalapeno chilies', 'large eggs', 'lime',\n",
       "       'milk', 'mirin', 'oil', 'olive oil', 'onions', 'paprika', 'pepper',\n",
       "       'potatoes', 'red bell pepper', 'rice vinegar', 'sake', 'salt',\n",
       "       'scallions', 'sesame oil', 'sesame seeds', 'shallots',\n",
       "       'sour cream', 'soy sauce', 'sugar', 'tomatoes', 'unsalted butter',\n",
       "       'vegetable oil', 'water'], dtype=object)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "unique = np.unique(top10.values.ravel())\n",
    "unique"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RsT2qVUVEREREiu+2edJ50KBBDBo0qKyHIWXM+Fliqd4vbUCtUr2fiIiIlE+qVQX+rlVVQ4qIiIjc2G3zpLOIiIiIiIiIiIiIlH9WnXROTEykcuXKGI1Gjhw5UmS7zMxMvL29MRqNrF+/Hije5iw//vgjzz//PE2aNMHT05N69eoRHBzM8uXLycvLM2vbrVs37r33XtP3RqPR7GvixIlmbY1GI+Hh4Vy6dImJEydy//33U716de6++26ef/55YmNjCx3T5cuXWb16NYMHD6ZNmzbUr18fLy8vmjVrxsCBAzlw4ECR8fj5+WE0GtmxYwdJSUkMHz6cpk2bUr16dfz9/fnoo4+4cuWKqf3q1avp0qUL3t7e1KlTh969e98wzwB//PEHb731FgEBAdSqVYuaNWvSunVrJkyYQGpqaqF9srKymDNnDh07dsTb25tq1arh6+tLmzZtGDlyJHv37i2y37x58+jSpQs+Pj54enrSrFkzhg4dyrFjx244ThEREZGSplpVtapqVREREZHSYdXlNWrVqkXr1q3ZtWsXy5cvZ+zYsYW227x5M+np6RiNRh599NFiXXvcuHFMnz7d9L3BYCAtLY1t27axbds2NmzYwCeffIK9/dV59MqVK1O1alX+/PNPADw9Pc2uV7FixQL3uHDhAp06deKXX37BxcUFe3t7/vjjD1auXMnWrVvZsmUL9erVM+uzdetW+vfvD4CdnR2VKlXCzs6OU6dOsWzZMlatWsWsWbMICQkpMra4uDhefPFFkpOTMRgMZGdnEx0dzRtvvMHJkyeZMmUK48ePZ9q0aTg4OODm5saFCxfYvHkze/bsYcuWLTRo0KDAdX/88Uf69u1rKtidnZ2xt7fn6NGjHD16lCVLlrBq1Sp8fX1NfXJycujRoweRkZGmmAwGA+fOnePs2bMcPnyYc+fO4e/vb3avpKQkevXqxa+//gqAvb097u7unDp1ivDwcFasWMG8efPo3r17kXkQERERKUmqVVWrqlYVERERKR1WX17jqaeeAmDFihVFtsk/1717d5ydnf/xmnPmzGH69Ol4enoyffp04uLiiI+P5/Tp0yxYsAAvLy9WrFjBtGnTTH2++uortmzZYvo+Ojra7Ovll18ucJ+JEyeSlpbGihUrOH36NImJiURERFCrVi1SU1N56623CvRxd3dn8ODBREREkJiYyMmTJ0lKSuLQoUOEhYWRk5PDsGHDSEhIKDK+MWPGULduXXbu3El8fDwJCQm88cYbAHz66ad88MEHfPTRR0ycONF0fteuXfj6+nL+/HkmTJhQ4Jrx8fGEhISQmprKCy+8wL59+0hKSuL06dPs2rWL9u3bc+rUKZ599llyc3NN/ZYtW0ZkZCRubm7MnTuXM2fOEBcXR0pKCocOHWLKlCk0a9bM7F7Z2dn07duXX3/9lXbt2rF582aSk5NJSEjgt99+IywsjMzMTF566SVOnDhxgz9pERERkZKlWlW1qmpVERERkZJn9UnnJ554AicnJ+Li4gp9tS3/qQeAXr16/eP10tLSePfdd3F1dWXFihU899xzVKpUCYAKFSrw5JNP8uWXX2JnZ8eMGTPIysqyeOxZWVmsXr2aDh064ODggL29PQEBAbz33nsAbNiwocD127Zty6RJkwgICMDNzc10vE6dOkycOJFnnnmGzMxMwsPDi7yvvb09S5cuNRXIbm5uvPbaazz00EPk5eUxYcIERo4cSVhYGO7u7gA0adLE9DRNYeN65513OH/+PMOHD+eDDz6gfv362NvbY29vT5MmTfj6669p2rQpv/32G+vWrTP1i4qKAiAkJIQ+ffrg6uoKgIODA3Xq1GHgwIGMGDHC7F6LFy9m3759tG7dmuXLl+Pv74+TkxMA1atXZ+LEiQwYMICLFy8ye/bsYv5piIiIiFifatWrVKuqVhUREREpSVZdXgOuvirYvn17Nm3aZCrqrrV+/XouXbpEzZo1CQwM/MfrrV27lr/++otOnTrh5+dXaBt/f3/q1q3LyZMnOXDgQIF7Flf37t2pX79+geNdu3bFzs6Oy5cvc/z4ce65555iX7Nz58589dVX7Nmzp8g2zz//PEajscDxhx9+mO3bt+Ps7MzQoUMLnH/wwQdxdXUlMzPTbFwXL15k9erV2NvbF9oPrr6+GBwczOHDh9m6dSvBwcEAeHh4AFdfQSyuxYsXA/DSSy+ZCvjrPfXUU3z22Wds3bq12NctDTExMWU9BOD2GUdZseX4FbvtsuX4bTl2sO34b5fYW7Vqxc6dO5k/fz6VK1c2OxcREcGlS5fw9PTEy8vLNOZz584BkJ6ebhbHmjVr+OuvvwgMDMTV1dXsXP6yEKpV77xa9Xb5WS4vlC/LKG+WU+4so7xZTrmznHJnGWvk7dolzEqC1Sed4WrRtmnTJlavXs3EiRNxcHAwnVu+fDkAPXr0MK1pdyP5T6Ds2LGDhg0bFtkufy24xMREi8fdsmXLQo87OTlx1113kZKSQlpaWqH3/uSTT/juu++IiYkhPT3d7DVAuHFh3KRJk0KPV6tWDQBvb+9C1/Wzt7enatWqJCYmmo3rwIEDZGVlYWdnR0BAQJH3zczMBMxzFhQUxLRp04iIiCAkJIS+ffsSGBhIlSpVCr1GTk4OP//8MwDDhw/ntddeK7Rdfj5u5c+nJJT0L1hxxMTE3BbjKCu2HL9it83Ywbbjt+XYwbbjv51i79+/Pzt37mTr1q3Mnj3brFbdsWMHcLWebdSokel4fi1kMBjM4jh58iQA+/bto1u3bkXeU7XqnVWr3i4/y+XB7fS7X54ob5ZT7iyjvFlOubOccmeZ8pK3Epl07tq1K+7u7qSkpLB9+3YeeeQRAP78809++OEH4O/19P5JcnIycPWJiIsXL/5j++K0KUphxXI+FxcX4OqacNf67bff6N69OykpKaZjHh4euLq6YmdnR1ZWFmlpaWRkZBR5bS8vr0KP538AKuo8YJq4v3Zc+TnLy8szG1dRrs1ZYGAgY8aMYfLkyWzcuJGNGzcC0LBhQzp27MiAAQPMNoJJTU01vS6Z/wTQjVy6dOkf24iIiIiUJNWqqlWLolpVRERExDpKZNLZzc2Nrl27smzZMpYtW2Yq5FevXk1OTg6+vr7861//Kta1rly5Alx9He79998vieHekqFDh5KSksK9997L2LFjadWqldkHgm3bthEcHExeXl6pjSk/ZwaDgfj4+JvuP2rUKHr37s2qVavYuXMnP/30k2lTm48//piZM2fy9NNPm90LYPv27TRv3tw6QYiIiIiUENWqqlVFREREpGRZfSPBfPkbr6xbt47Lly8Dfy+t0bNnz2Jf56677gLg1KlTVh7hrUtISODnn3/GwcGBxYsX06FDhwJPoBTn6Q1ry8/ZhQsXOH/+vEXX8PHxYfjw4axYsYITJ07wzTffEBAQQE5ODiNHjuTs2bPA1VdN859yuR3/jEREREQKo1r1KtWqIiIiIlISSmzSuX379lSpUoX09HQ2bdrEqVOn2L17N1D81xUB00YrO3fuvOnX3a5dM7oknt44ffo0cHU9u5o1axbaJv8VzdLUokULHB0dycvL4/vvv7/l6zk4ONC2bVuWLFmCk5MTGRkZ7N+/H7i6hmCLFi0A+O677275XiIiIiKlQbXqVapVRURERKQklNiks5OTE0888QQAK1asYOXKleTl5dGiRQuzddb+yRNPPIG7uztpaWlMnjz5hm2v3zglf3drwOKnKG7EYDAAV58QyX+a4lqHDx82PTFTmjw8POjevTsA7733HhcuXCiybU5ODn/99Zfp+/w17wrj7OxselIk/4kggL59+wKwaNEiDh06dMOxFba5jYiIiEhpU62qWrUwqlVFRERErKPEJp3h79cWN23aRHh4uNmx4qpSpQpjx44FYOrUqbzyyiv8/vvvpvOXLl1i165djBgxgo4dO5r1NRqN1KhRA4CvvvrK4jiK0qhRI2rVqkVeXh4DBgzg+PHjwNWNUtauXUuPHj1wd3e3+n2LY9y4cVSuXJnff/+dTp068d1335k2cMnLyyM2NpZZs2bxwAMPmJ4EgavrEQ4ZMoTvv//e7ANAXFwcYWFhZGZmUqFCBbOdxp999lkeeOABMjMz6d69OwsXLiQ9Pd10Pjk5maVLl9K1a1fmzJlzw3GnDahVql8iIiJiu1SrqlYFy2pVEREREbmxEtlIMF/r1q2pXbs2p06d4tixY9jb29/UGnn5Bg8eTHp6Ou+99x5ffPEFX3zxBe7u7jg5OZGenm7aIMTb27tA32effZbJkyfz5ptvMnHiRKpUqQJAWFgYQ4YMuaX47O3tef/993nuuefYuXMnLVu2xMPDg8uXL5OVlUXt2rWZMGECgwcPvqX7WKJu3bqsWLGC0NBQjhw5Qq9evXBycsLDw4O//vrL7CkROzs70/9nZmaycuVKFi1ahJ2dHQaDgezsbNOu4Q4ODkydOpWqVaua+jg5ObFo0SKeffZZdu/ezauvvsrw4cOpVKkSWVlZZruhP/TQQ6UQvYiIiMg/U62qWlW1qoiIiEjJKNFJZzs7O3r27Mn06dMBCAwMpHr16hZd67XXXqNr16588skn7Nixg9OnT3Px4kWqV69O48aNadeuXaEfEv773//i7u7O0qVLOXHiBAkJCYD1XmF8/PHHWbt2LR988AFRUVFkZ2dTp04dunbtyogRI/j111+tch9LtGzZkr1797JgwQIiIiI4duwY58+fp2LFijRt2hR/f3+6d+9OmzZtTH3Gjx/Pgw8+yPbt24mNjSU5OZnc3Fzq1atHQEAAYWFhNGvWrMC97rrrLtavX8/KlStZtmwZBw4cIDU1FWdnZxo2bEjLli3p3LkzXbp0Kc0UiIiIiBRJtapqVdWqIiIiIiXDLi0tzfq7lohIscXExODr61vWwygzthy/YrfN2MG247fl2MG247fl2EVsmX73LaO8WU65s4zyZjnlznLKnWXKS95KdE1nEREREREREREREbEtmnQWEREREREREREREavRpLOIiIiIiIiIiIiIWI0mnUVERERERERERETEajTpLCIiIiIiIiIiIiJWo0lnEREREREREREREbEaTTqLiIiIiIiIiIiIiNVo0tmGhIeHYzQa6datm03cV0RERETKD9WqIiIiIncOx7IegFhPeHg48fHxdOvWjebNm5f1cERERERETFSrioiIiNgOTTrfQRYtWkRkZCTe3t63VSFvMBjw9fWldu3a/9jW+FniDc+nDahlrWGJiIiISCm6k2pV1aQiIiIiN6ZJZylxjz/+OI8//nhZD0NEREREpADVqiIiIiLWpzWdRURERERERERERMRqNOl8B8jf/CQyMhKAoUOHYjQaTV9+fn6F9tuwYQOPPfYY3t7e1KpVi6CgIJYvX17kfQ4cOMD48ePp3LkzzZo1w9PTk3r16tGtWze++OILcnNzbzg+bc4iIiIiYntUq4qIiIjYHi2vcQeoUKECnp6epKamkp2djcFgwNXV1XS+WrVqBfpMnjyZ9957D3t7eypWrEhGRgZRUVG8+OKLpKSkMGTIkAJ9nnzySc6dOweAm5sbFSpUIDU1lcjISCIjI1m3bh2LFi3C0VE/ViIiIiJylWpVEREREdujJ53vAE8++STR0dH4+/sDMHHiRKKjo01fW7duNWt/6NAhJk2axBtvvMHx48eJj48nOjqa4OBgAN5++21SU1ML3Kd9+/bMnz+fY8eOcfr0aeLi4khMTGTu3Ll4eXmxefNmZs+eXfIBi4iIiEi5oVpVRERExPZo0tkGpaenM3r0aF577TWMRiMAnp6efPzxx1SrVo3MzEw2btxYoN+nn35Kz5498fLyMh1zd3enT58+fPbZZ6Y2IiIiIiKWUq0qIiIiUv7p3TIb5OrqSlhYWIHjFSpUoH379ixdupSjR4/e1DUDAgKoVKkS8fHxnDlzhho1alhruGZiYmJK5Lpl7U6Nq7hsOX7FbrtsOX5bjh1sO35bi93X17esh1AulYda1dZ+lm+V8mUZ5c1yyp1llDfLKXeWU+4sY428lXStqklnG9SoUSPc3d0LPVezZk0A0tLSCj2/evVqli5dyi+//MIff/xBZmZmgTZJSUklNul8J354i4mJuSPjKi5bjl+x22bsYNvx23LsYNvx23LscnPKQ62qn+Xi0+++ZZQ3yyl3llHeLKfcWU65s0x5yZsmnW1QxYoVizzn4uICQHZ2ttnxnJwc+vfvz7p168zaVq1aFQcHBwD++OMPrly5QkZGRgmMWkRERERsgWpVERERkfJPk85SLAsXLmTdunW4ubkxbtw4HnvsMWrVqmXWpmnTpiQmJpKXl1dGoxQRERERW6RaVUREROT2oklnKZbVq1cD8NprrzF48OAC53Nzc/nzzz9Le1giIiIiIqpVRURERG4z9mU9ALEee/urf5wl8fTG6dOnAWjevHmh53fv3l3omnkiIiIiIqBaVURERMSWaNL5DuLh4QHA+fPnrX5tg8EAwJEjRwqcy8nJ4Z133rH6PUVERETkzqFaVURERMR2aNL5DtK4cWMA1q1bZ/Vi/pFHHgFgypQprF+/ntzcXACio6MJCQlh3759Re4yfjPSBtS64ZeIiIiIlE93Uq0qIiIiIjemSec7SJ8+fXB2dubHH3+kQYMGNG7cGD8/Pzp37nzL13755ZepV68e6enphIaGUr16dby9vfH392fr1q18+OGHVKlSxQpRiIiIiMidSLWqiIiIiO3QpPMdpGHDhqxatYqgoCAMBgPJyckkJCSQmJh4y9euXLky3333HS+88IJpJ3BXV1e6devG+vXrCQ0NveV7iIiIiMidS7WqiIiIiO2wS0tLs/5OHiJSbDExMfj6+pb1MMqMLcev2G0zdrDt+G05drDt+G05dhFbpt99yyhvllPuLKO8WU65s5xyZ5nykjc96SwiIiIiIiIiIiIiVqNJZxERERERERERERGxGk06i4iIiIiIiIiIiIjVaNJZRERERERERERERKxGk84iIiIiIiIiIiIiYjWadBYRERERERERERERq9Gksw2Ki4vDaDRiNBpvq2uJiIiIiKhWFRERESn/NOksIiIiIiIiIiIiIlbjWNYDkNLn5OSEr69vWQ9DRERERKQA1aoiIiIi5Z8mnW1QzZo1+emnn8p6GIUyfpZYJvdNG1CrTO4rIiIiIubKa62qelJERETkb1peQ0RERERERERERESsRpPOhcjKymLOnDl07NgRb29vqlWrhq+vL23atGHkyJHs3bvX1DY8PByj0Ui3bt0AWLRoEUFBQdSpUwdvb2+6d+/Od999V+S9fv/9dyZNmsTjjz9O8+bN8fLywtvbm6CgIGbOnMmlS5cK7Xf9fTds2MBjjz2Gt7c3tWrVIigoiOXLlxfa9582VFm/fj1PPfUUvr6+VKtWDR8fH+6//35eeOEFVq5cecPcHTlyhOeff56GDRvi5eXFAw88wOTJk8nKyrphPxEREREpHtWqqlVFREREbndaXuM6OTk59OjRg8jISADs7OwwGAycO3eOs2fPcvjwYc6dO4e/v3+BvqNHj2bOnDnY29vj4eFBeno627dvZ/v27UyYMIGXX365QJ8XX3yRAwcOAODq6oqbmxtpaWlERUURFRXFypUrWbt2LR4eHkWOefLkybz33nvY29tTsWJFMjIyiIqK4sUXXyQlJYUhQ4YUO/4JEybwwQcfmL738PAgMzOT33//nd9//50dO3bw5JNPFtp3y5YthIaGcunSJQwGA9nZ2cTExPDee+9x4MABFi1aVOxxiIiIiEhBqlVVq4qIiIiUB3rS+TrLli0jMjISNzc35s6dy5kzZ4iLiyMlJYVDhw4xZcoUmjVrVqDfoUOHmDNnDsOGDePEiRPExcVx9OhRevfuDcDYsWP58ccfC/S7//77mTFjBr/88gtJSUmcOHGCpKQkFi9ezN13383+/ft56623ihzvoUOHmDRpEm+88QbHjx8nPj6e6OhogoODAXj77bdJTU0tVuxxcXFMnToVgBEjRhAbG0tCQgJJSUn8/vvvLFy4kI4dOxbZf8CAAXTu3JmDBw8SHx9PQkIC48aNw87OjoiICDZv3lyscYiIiIhI4VSrqlYVERERKQ806XydqKgoAEJCQujTpw+urq4AODg4UKdOHQYOHMiIESMK9EtPT6dfv36MHz+eSpUqAVC9enXmzp1L27ZtycvL4/333y/Q73//+x/9+vXD29vbdMzFxYUuXbqwfPlyHB0dWbRoERcvXix0vOnp6YwePZrXXnvN9Aqip6cnH3/8MdWqVSMzM5ONGzcWK/Z9+/Zx5coVGjZsyNixY6latarpXLVq1QgODmbWrFlF9m/ZsiULFiygbt26ALi7uzN8+HBT8b9mzZpijUNERERECqdaVbWqiIiISHmg5TWuk/9qYFJS0k33LazAt7OzY8SIEezYsYPt27eTmppK5cqVi3U9Hx8f7rnnHn799VcOHTpEq1atCrRxdXUlLCyswPEKFSrQvn17li5dytGjR4t1v/zY09PTuXjxIm5ubsXql2/YsGHY2dkVON6tWzc2bdpU7HGUhZiYGJu+f1mz5fgVu+2y5fhtOXaw7fhtLXZfX1+rX1O16u1bq9raz/fb306WAAAgAElEQVTNUG4so7xZTrmzjPJmOeXOcsqdZayRt5KoVa+lSefrBAUFMW3aNCIiIggJCaFv374EBgZSpUqVG/arXbs2Pj4+hZ578MEHcXBwIDc3l19++YV27dqZnd+6dStfffUVP//8M8nJyYVuyFLUB4tGjRrh7u5e6LmaNWsCkJaWdsOx57v//vupXLkySUlJPProowwcOJCHH364yLiu17JlS6uMoyyU9C/ajcTExJTp/cuaLcev2G0zdrDt+G05drDt+G05dmtSrXr71qr6+S6cfvcto7xZTrmzjPJmOeXOcsqdZcpL3rS8xnUCAwMZM2YMjo6ObNy4kX79+lG/fn38/f158803iY2NLbRffrFamAoVKpheJ/zzzz/Nzo0aNYoePXqwYsUKTp48SU5ODpUrV8bT0xNPT0+cnJwAyMjIKPTaFStWLPK+Li4uAGRnZxcd8DWMRiNz587FaDRy+PBhhg0bxr/+9S8aNWrESy+9xM6dO2/Yv6gNZG52HCIiIiJSONWqqlVFREREygNNOhdi1KhRREVFMW7cODp06IDBYCA6OppZs2bRqlUrFi9ebJX7fPvtt8ybNw8HBwdef/119u/fT0pKCidOnCA6Opro6Gjuv/9+APLy8qxyz3/SsWNHDh48yPTp0+nRowc1atQgOTmZr7/+mscee4xXX321VMYhIiIiIoVTrapaVUREROR2p0nnIvj4+DB8+HBWrFjBiRMn+OabbwgICCAnJ4eRI0dy9uxZs/Znzpwp8lqZmZmm1/Wu3fBk9erVAPTr14/XX3+devXqFVhnLiUlxVohFVulSpV47rnn+Oyzzzh69Ci7d+/mueeeA2DhwoVs2rSp1MckIiIiIn9TrapaVUREROR2pknnYnBwcKBt27YsWbIEJycnMjIy2L9/v1mbhIQE4uLiCu2/e/ducnNzsbOzo3nz5qbjp0+fBjA7dq34+HiOHz9upSgsd8899zB9+nQeeOABACIjI8t4RCIiIiKST7WqalURERGR240mna+TlZVV5DlnZ2ccHBwAuHz5coHzU6dOLXAsLy/PdLxdu3Zmu4EbDAYAjhw5Uuj9JkyYUGqvKsKNY4eru49D4bGLiIiISMlTrVo01aoiIiIitw/Hsh7A7eall17C1dWVnj174u/vb9pwJC4ujrfeeovMzEwqVKhAQECAWT+DwcDnn39OlSpVePXVV6lUqRLJycmMHTuWbdu2YWdnx3//+1+zPo888ghr1qzhs88+o3nz5vTp0wdnZ2cSEhJ49913Wb58OUaj8ZZ30i6u+fPn8+233/L000/Ttm1bqlevDlzdyXv+/PmmzVk6dOhQYmNIG1CrxK4tIiIiUt6pVlWtKiIiIlIeaNL5OpmZmaxcuZJFixZhZ2eHwWAgOzubixcvAldfX5w6darZencAfn5+NG/enA8//JDp06fj4eHB+fPnTU9/vP3227Ru3dqsT9++fQkPD+enn37i5ZdfZtiwYVSsWJHz588DMGbMGLZt21Zqrwjm5eWxZcsWtmzZAoC7uzuOjo6m8QD079+fjh07lsp4RERERMScalXVqiIiIiLlgSadrzN+/HgefPBBtm/fTmxsLMnJyeTm5lKvXj0CAgIICwujWbNmhfadOHEizZo1Y8GCBURHR1OxYkX+9a9/8eqrrxIUFFSgvbOzM6tXr+Z///sfq1atIjExEUdHRx555BEGDx5M586d2bZtW0mHbPLUU09RsWJFfvjhBw4fPkxSUhIZGRlUr16dFi1a0K9fP7p06VJq4xERERERc6pVVauKiIiIlAd2aWlppbcQ2x0oPDycoUOH0qZNG9avX1/Ww5FyKCYmBl9f37IeRpmx5fgVu23GDrYdvy3HDrYdvy3HXpZUq0pZ0+++ZZQ3yyl3llHeLKfcWU65s0x5yZs2EhQRERERERERERERq9Gks4iIiIiIiIiIiIhYjSadRURERERERERERMRqNOksIiIiIiIiIiIiIlajSedbFBoaSlpamjZmEREREZHbjmpVERERESkLmnQWEREREREREREREavRpLOIiIiIiIiIiIiIWI0mnQGj0YjRaCQuLq6shyIiIiIiYka1qoiIiIiUN45lPYCS9Msvv7B+/Xq8vb0JDQ0t6+GIiIiIiJioVhURERGRO9UdPel86NAhJk2aRJs2bVTIlxPGzxLLeghlwA122mLc+Ww5fsVuu2w5fluOHWw7/tsj9rQBtcp6CCaqVcsf26xVb9Xt8btf/ihvllPuLFP8vN1O/5aKyO1Ly2uIiIiIiIiIiIiIiNVo0llERERERERERERErMbiSeesrCzmzJlDx44d8fb2plq1avj6+tKmTRtGjhzJ3r17C/RJSUnhjTfe4IEHHqBGjRp4e3vTvn17Zs6cyeXLlwu9T7du3TAajYSHhxc5Fj8/P4xGIzt27DAdMxqNDB06FIDIyEjTBiz5X9e2vVZCQgKvvPIKTZo0wdPTk+bNm/Pmm2+Snp5+w3wcOXKEoUOH0rx5c7y8vPD29qZTp04sWLCA7OzsAu3j4uJMYwH46aef6NevH40aNaJKlSq8/vrrAOzYsQOj0Yifnx8Au3fvpk+fPtSvX5/q1avTpk0b5s2bR15e3g3HVxzX36sw4eHhGI1GunXrVuDchQsXmDx5Mu3ataN27drcdddd3HPPPTz88MP83//9H0eOHLnlMYqIiIgUS04WbPsSpofC6AfhP/fC/z2kWlW1qmpVERERkVJg0ZrOOTk59OjRg8jISADs7OwwGAycO3eOs2fPcvjwYc6dO4e/v7+pz88//0yvXr1ITU0FwMPDg6ysLPbt28e+fftYsmQJq1at4q677rJCWODp6UlmZibp6ek4OTlRuXJls/POzs4F+vz666/8+9//JjU1FQ8PD65cuUJ8fDyzZs0iMjKSzZs34+TkVKDfvHnzeP3117ly5QoAFStWJCMjgz179rBnzx5WrlzJ0qVLcXNzK3SsK1euZNCgQeTk5GAwGHBwcCi0XXh4OK+88gpXrlzBw8ODzMxMDh8+zKhRozh+/Djvv//+zabJas6fP0+nTp347bffALC3t8dgMJCSkkJSUhIHDhzAwcGB8ePHl9kYRURExEbk5sDHgyD2p6vf29mBqwdcTOPw4T9Vq6pWVa0qIiIiUsIsetJ52bJlREZG4ubmxty5czlz5gxxcXGkpKRw6NAhpkyZQrNmzUzt09LSCA0NJTU1lSZNmrBlyxYSEhJITExk4cKFGI1Gfv31VwYOHGi1wKKjo5k4cSIA/v7+REdHm321atWqQJ8hQ4bg5+fHrl27TOObOXMmLi4u7N+/n4ULFxbos27dOkaNGoW7uztvv/02sbGxnDp1ijNnzrBixQoaNGjAzp07GTNmTJFjfeWVV+jatSsHDx4kPj6eM2fOEBYWZtbmzz//ZPjw4Tz//PMcO3aM+Ph4Tp48yaBBgwCYO3cuR48evZWU3ZKPP/6Y3377jWrVqrFkyRJSUlI4efIkycnJ/Pzzz4wfP5569eqV2fhERETEhuxbf3XC2bkChL4Pk36G936EKftVq6pWVa0qIiIiUgosmnSOiooCICQkhD59+uDq6gqAg4MDderUYeDAgYwYMcLUft68eSQlJVGpUiVWrVpFy5YtTe2Dg4NZsGABAD/88APbtm27pYBuRc2aNVm2bBlNmjQBwMXFhWeffZZ+/foBsGbNGrP2ubm5jB49GoDPP/+cV155hapVqwJXn07p0KEDy5cvx83Nja+++oqkpKRC79usWTM+//xz6tatC4Cjo6Pp//NdvHiRkJAQpkyZgqenJ3D1tczJkyfTpEkT8vLyWLt2rZUycfPyfyb+/e9/06lTJxwdrz5E7+TkRIMGDRg2bBjPPfdcmY1PREREbEjcwav/vb873P84OLlc/d5etapqVdWqIiIiIqXBouU1PDw8AIosTK+XXwD369cPLy+vAufbt2+Pv78/e/fuZfXq1bRr186SYd2yIUOG4OLiUuD4Y489xieffFLg6YydO3eSkJBAkyZN6NChQ6HXrFevHvfffz/bt29n586d9OrVq0CboUOHYm//z/P/1344ulbXrl05cuRImT49crM/EyIiIiIlxqXi1f+mny1wKiYmpsCxZcuWAfD444+Tnp5eYH3kOnXq4Ofnx6FDh1i4cCE1a9Y0nbt06RIAycnJBa7t6+t7S2FcT7Wq5VSriohYT2H/lto65cRyyp1lrJE3a9eq17No0jkoKIhp06YRERFBSEgIffv2JTAwkCpVqhRom5WVZSow27ZtW+Q1H3roIfbu3cvBgwctGZJV5D/Vcr0aNWoAV1+9vNaePXsAiI2NpWHDhkVeN/+DS2JiYqHnr11PsCiVK1fGx8en0HP5H3yuH19pevTRR1m5ciVz587l3LlzPPXUUzz44IOmAl9ERESk1DRuC1vmw69b4NOh4P8ENHgA3I0FiuusrCxiY2MB6N69e5HFd6dOnTh06BAnT540a1OhQgUAvLy8SrxwV61qOdWqIiLWU9L/3pU3MTExyomFlDvLlJe8WTTpHBgYyJgxY5g8eTIbN25k48aNADRs2JCOHTsyYMAAGjRoAEBqaqpp05L8grgw+cXoH3/8YcmQrKJixYqFHs9/oiQnJ8fseHJyMgCXL18mJSXlH69/8eLFQo9Xq1bN4rFdO77Cdh4vLU8//TR79uzh888/Z+nSpSxduhR7e3uaNm1K586deeGFF6hevXqZjU9ERERsyN0PQJd/w6aP4fAPV78APOvzZmxX1apFUK2qWlVERETEWixa0xlg1KhRREVFMW7cODp06IDBYCA6OppZs2bRqlUrFi9eXKDP5cuXb2mwt5v8Dyhdu3YlLS3tH7/y19S7XlE7gJc306ZN48cff2TUqFEEBgbi4uJi2qznvvvuY+vWrWU9RBEREbEVHcNgzHroNgzuaQOuFSHluGpV1aqqVUVERERKgcWTzgA+Pj4MHz6cFStWcOLECb755hsCAgLIyclh5MiRnD17lsqVK5vWgDt16lSR1zp9+jRQ8EmK/E0+bvQh4Pp190rLXXfdBdw4rvLEGrlu3LgxY8aMYd26dcTFxfH111/TpEkTMjIyCAsLK9MnXERERMTGVK0NQQNh8Dx4dxcM/Uy1ajmmWlVERESk/LilSedrOTg40LZtW5YsWYKTkxMZGRns378fZ2dnGjduDMCOHTuK7L99+3YA7r33XrPjlSpVAv4u9K93/Phxzp8/X+i5/A8QeXl5NxdMMeWvb3f48OEix1ee5Of67NmzZGVlFdpm//79xb6es7MznTt3ZuHChcDVjVvy10wUERERKVX2DnC3v2rVcky1qoiIiEj5YdGkc1FFHlwt3vJfwct/CiE4OBiARYsWFbpj9JYtW9i7dy8ATzzxhNm5Jk2aABAREVHo/aZOnVrkWPI3Bimq0L9V7dq1o3bt2uTm5jJ27Ngbti3LjVOK6+6778bFxYW8vDw2bNhQ4Pzx48dZu3ZtoX1v9DPh6upq+v877bVVERERuQ3lqFYF1arXUq0qIiIiUros2kjwpZdewtXVlZ49e+Lv728qmOPi4njrrbfIzMykQoUKBAQEADBo0CAWLFhAUlISPXv2ZNasWbRo0YLc3FzWrVvHq6++CsDDDz9Mu3btzO4VHBzMpEmTOHLkCP/9738ZPXo0RqORs2fPMmXKFJYsWYKbm1uhG5/kP7Vy7NgxoqKiuP/++y0Jt0hOTk5MnjyZ0NBQli9fzsWLF3n99ddp3rw5cHWzlF9//ZVVq1bx+eefEx8fb9X7W5uzszNdu3Zl1apVvPHGG3h6etKqVSsAfvjhB4YNG4arqyuZmZkF+gYHB+Pn50dwcDAtW7Y07eR+9OhRRo0aBUD16tVp2rTpDceQNqCWlaO6/ZWXXUdLii3Hr9htM3aw7fhtOXaw7fhLM/bnn3++yFo1LCxMtapqVdWqpciW/967Fcqb5ZQ7yyhvImJtFk06Z2ZmsnLlShYtWoSdnR0Gg4Hs7GxTMe3g4MDUqVOpWrUqAEajkfDwcHr27Mnhw4d55JFH8PDwIDs721QUNm3alE8++aTAvRo3bkxYWBizZ89m7ty5zJ07l0qVKpGeno69vT0zZszg/fffL7SQb9CgAQEBAezatYugoCAqV65s2ll7wYIFPPDAA5aEb6Zr167MnDmTESNGEBERQUREBBUqVMDV1ZX09HRyc3Nv+R6lady4cWzbto1Tp07RpUsX3NzcuHLlCpmZmfj5+TFkyBBef/31Av0uXLjAvHnzmDdvHvb29hgMBjIzM01/vm5ubsydO9e0Fp+IiIhISVGt+jfVqlepVhUREREpXRYtrzF+/HjefvttgoKC8PHxITs7m9zcXOrVq0doaCjbtm0jJCTErM99993Hnj17GDJkCHfffTfZ2dk4OjrSokULJkyYwPfff2/a7OR67777Lh988AHNmjXD1dUVOzs7OnTowNq1awkNDb3hWL/66itefPFF6tatS0ZGBgkJCSQkJBT6BISlnnnmGX766SfCwsJo3LgxDg4OXLhwgSpVqhAYGMjo0aOJioqy2v1Kko+PD99//z29evWiWrVq5ObmUrNmTUaOHMmmTZtMTwpdb+bMmYwePZq2bdtSu3ZtU34bNmzIwIED2bVrV4Eng0RERERKgmpVc6pVVauKiIiIlDa7tLS0ktm5RESKxdZfY7Ll+BW7bcYOth2/LccOth2/LccuYsv0u28Z5c1yyp1llDfLKXeWU+4sU17yZtGTziIiIiIiIiIiIiIihdGks4iIiIiIiIiIiIhYjSadRURERERERERERMRqtD3zHWjmzJnMnDnzpvpER0eX0GhERERERP6mWlVERETkzqdJ5zvQX3/9RUpKSlkPQ0RERESkANWqIiIiInc+TTrfgUaPHs3o0aPLehgiIiIiIgWoVhURERG582lNZxvSrVs3jEYj4eHhZT0UEREREREzqlVFRERE7hyadBYRERERERERERERq9Gksw2pXbs2vr6+GAyGsh6KiIiIiIgZ1aoiIiIidw6t6WxD5s6dW9ZD+EfGzxLLeghlwA122mLc+Ww5/vITe9qAWmU9BBERucOpVr1TlZ96p6yp3hIRkTuJnnQWEREREREREREREavRpHMx+fn5YTQa2bFjB6dPn+Y///kP9957L56engQGBhIXF4fRaMRoNBZ5jR07dmA0GvHz8ytwLisrizlz5tCxY0e8vb2pVq0avr6+tGnThpEjR7J3794CfQ4dOsTgwYPx8/PD09OT2rVrc++999KzZ09mz57NxYsXzdrfaHOWAwcOMH78eDp37kyzZs3w9PSkXr16dOvWjS+++ILc3NxCY5o4cSJGo5GwsDAAFi1aRIcOHahduzZ16tThscceY+vWrTfMrYiIiIjcGtWqqlVFREREbidaXuMmxcbG0r9/f/7880/c3NxwcnK65Wvm5OTQo0cPIiMjAbCzs8NgMHDu3DnOnj3L4cOHOXfuHP7+/qY+mzdvJjQ0lOzsbABcXFywt7cnLi6OuLg4vv/+e4KCgmjYsGGxxvDkk09y7tw5ANzc3KhQoQKpqalERkYSGRnJunXrWLRoEY6ORf/IvPzyy3z55Zc4ODjg7u5Oeno6O3fuZNeuXXz22WcEBwdbmiIRERERKQbVqqpVRURERG4HetL5Jr355pt4eXmxadMmTp8+TWJiIl988cUtXXPZsmVERkbi5ubG3LlzOXPmDHFxcaSkpHDo0CGmTJlCs2bNzPq89tprZGdn06lTJ6KiokhOTiY+Pp74+HgiIiJ47rnncHFxKfYY2rdvz/z58zl27BinT58mLi6OxMRE5s6di5eXF5s3b2b27NlF9o+IiGDZsmV8+OGHJCQkEB8fz4EDBwgICODKlSv897//JScnx+IciYiIiMg/U61aONWqIiIiIqVLTzrfJAcHB1avXo2np6fpWP369YmLi7P4mlFRUQCEhITQp08fs3vVqVOHgQMHmrU/e/as6X4zZ840G4vBYCAgIICAgICbGsOnn35a4Ji7uzt9+vShTp06dO3alU8//ZRXXnml0P7nz59n3rx59O7d23TMx8eH+fPnc++995KUlMSePXto06bNTY1LRERERIpPtapqVREREZHbgSadb1JISIhZ4WwNHh4eACQlJRWrvbu7O/b29ly5coWkpCSrj+d6AQEBVKpUifj4eM6cOUONGjUKtKlduzZPPfVUgeM1atTgvvvu48cff+To0aMq5EXKqZiYmHJxzfLEluO35djBtuO3tdh9fX1L/Z6qVVWrSvl1/d+RtvZ3pjUpd5ZR3iyn3FlOubOMNfJW0rWqJp1v0rVr1VlLUFAQ06ZNIyIigpCQEPr27UtgYCBVqlQptL2bmxtt2rRhx44d9OzZk0GDBtGpUyeaNm2Kg4ODxeNYvXo1S5cu5ZdffuGPP/4gMzOzQJukpKRCC/kWLVpgZ2dX6HXz26elpVk8NhEpW9b+xygmJqZMJmNuF7Ycvy3HDrYdvy3HXppUq6pWlfLr2r8j9Xem5ZQ7yyhvllPuLKfcWaa85E1rOt+katWqWf2agYGBjBkzBkdHRzZu3Ei/fv2oX78+/v7+vPnmm8TGxhboM3PmTBo1asTZs2d59913eeihh6hbty69e/dmyZIlN7UmXU5ODs888wz9+/cnIiKCU6dOkZeXR9WqVfH09MTT0xN7+6s/KhkZGYVeo2LFikVeP3+9vvyNZERERESkZKhWVa0qIiIicjvQpPNNyi9orW3UqFFERUUxbtw4OnTogMFgIDo6mlmzZtGqVSsWL15s1t7Hx4fIyEi++uor+vfvT6NGjfjrr7/YvHkzgwcPpkOHDvz111/FuvfChQtZt24dbm5uTJo0icOHD5OcnExsbCzR0dFER0ebngDJy8uzeuwiIiIiYh2qVVWrioiIiNwONOlsJY6Of69UUtirfgDp6ek3vIaPjw/Dhw9nxYoVnDhxgm+++YaAgABycnIYOXIkZ8+eLXDPxx57jGnTprFnzx6OHTvGhAkTcHV15eDBg0yaNKlYY1+9ejVwdZfxwYMHU6tWLbPzubm5/Pnnn8W6loiIiIjcflSrioiIiEhp0qSzlVSqVMn0/6dPny60zf79+4t9PQcHB9q2bcuSJUtwcnIiIyPjH/t7eXnx8ssvExYWBkBkZGSx7pU/3ubNmxd6fvfu3UV+OBERERGR259qVREREREpTZp0tpKKFSvi7e0NwPr16wucP3fuHF988UWhfbOysoq8rrOzs2nDlcuXLwNX15u70auDrq6uZu3/icFgAODIkSMFzuXk5PDOO+8U6zoiIiIicntSrSoiIiIipcnxn5tIcfXo0YPp06fzv//9jwYNGtCxY0ccHR356aefGDFiRJEF+0svvYSrqys9e/bE398fDw8PAOLi4njrrbfIzMykQoUKBAQEAHD06FEGDRpEv3796NixIw0aNMDOzo7s7GwiIiL46KOPAOjQoUOxxv3II4+wf/9+pkyZQv369encuTMODg5ER0czZswY9u3bh7u7e5Ebs1hT2oBa/9zoDlNedh0tKbYcvy3HLiIipU+16q2zxVr1VqneERERsU2adLai4cOHs2bNGk6ePEnfvn1xcXHB0dGRjIwMateuzaRJkxg8eHCBfpmZmaxcuZJFixZhZ2eHwWAgOzubixcvAldfX5w6dSpVq1Y19fntt98YM2YMY8aMwcXFBTc3N86fP8+VK1cAaNGiBSNHjizWuF9++WVWrVrFiRMnCA0NxcnJiQoVKpCeno6DgwMzZszg/fffL5VCXkRERERKhmpVERERESktWl7DioxGI5s3b6Z///7UqFGDK1euULlyZQYNGsT27dupWbNmof3Gjx/P22+/TVBQED4+PmRnZ5Obm0u9evUIDQ1l27ZthISEmNo3atSIhQsX8vzzz9O8eXMqVarEhQsXMBgMtG7dmsmTJ7Np0ybTq4j/pHLlynz33Xe88MILpo1ZXF1d6datG+vXryc0NPTWkyMiIiIiZUq1qoiIiIiUFru0tLSiF1wTkRJn668c2nL8it02Ywfbjt+WYwfbjt+WYxexZfrdt4zyZjnlzjLKm+WUO8spd5YpL3nTk84iIiIiIiIiIiIiYjWadBYRERERERERERERq9Gks4iIiIiIiIiIiIhYjSadRURERERERERERMRqNOksIiIiIiIiIiIiIlajSWcRERERERERERERsRpNOouIiIiIiIiIiIiI1WjSWURERERERERERESsRpPOIiIiIiIiIiIiImI1jmU9AJFrGT9LLNP7pw2oVab3FxERERERERERKe/0pLOIiIiIiIiIiIiIWI0mnUVERERERERERETEasrFpLOfnx9Go5EdO3aQlJTE8OHDadq0KdWrV8ff35+PPvqIK1eumNqvXr2aLl264O3tTZ06dejduzdHjhwp8voHDx5k0KBBNG3aFE9PT+rXr8+TTz7JmjVrijWm06dP85///Id7770XT09PAgMDzdpeuXKFL774gq5du+Lj44OXlxfNmzfn1Vdf5fjx4zeMPS8vj5UrV9K7d28aNmyIp6cnjRs3pkuXLnz00UecO3eu0H4//fQTgwcPxs/PDy8vL+rXr89DDz3EW2+9RUxMjFnbCxcuEB4eTv/+/WndujXe3t5Ur16dFi1a8OqrrxIbG1vk+IxGI0ajkbi4OBISEnjllVdo0qQJnp6eNG/enDfffJP09PQbxigiIiJS3qleVb0qIiIiIn8rV2s6x8XF8eKLL5KcnIzBYCA7O5vo6GjeeOMNTp48yZQpUxg/fjzTpk3DwcEBNzc3Lly4wObNm9mzZw9btmyhQYMGZtf8/P/Zu/O4Kuv8///PAyJy0OPBFRVJTcxMbLRyzcIWx9Sy3DLNNVPEvVy+mB+ztLRFLbdSctQMddSZsFGbyIhxy2Uml3JFRcCjuIMColJ5BdsAACAASURBVCj8/vDHSQIUj4f1etxvt243u67rfb1fr1edmdd5d53rvWSJ3nrrLfuXgPLlyysxMVERERGKiIhQ9+7d9cUXX8jV1TXHmI4dO6Z+/frpwoULMpvNcnNzy3I+JSVFr7/+uiIiIiRJbm5u8vDwUGxsrJYuXaq///3vWrRokTp06JDt3omJierbt68iIyMlSSaTSeXLl9elS5d0+vRp/fLLL7JarerVq5d9TEZGhiZPnqzPP//cfiyzVvv27dO+ffsUHx+vL774wn5+xYoVGjdunCTJ1dVVFotF6enpio6OVnR0tNasWaPQ0FAFBATk+s/m999/17Bhw3Tp0iWVK1dO6enpio2N1dy5c7V161aFh4dnqw0AAEBJQ79KvwoAAIBi8qRzpgkTJuiBBx7Qli1bFBsbq7i4OL3zzjuSpK+++kozZszQvHnzNG3aNPv5bdu2yc/PT4mJiZoyZUqW++3YscPewHfq1En79+9XTEyMYmJiNHHiRJlMJq1atUozZ87MNaaJEyeqatWq+uGHH3Tq1CnZbDZ9/fXX9vPvvPOOIiIi5O7urlmzZunkyZOKjY3Vf//7Xz355JNKTU3Vm2++qaNHj2a796BBgxQZGSkPDw9Nnz5d0dHROnHihE6fPq0dO3Zo3LhxslqtWcbMmTPH3sAPHDhQ+/bts9fi0KFDmjVrVrYvMhUrVtSYMWMUERGh06dPKzo6WmfOnNHOnTvVvXt3JScna+DAgUpOTs61DkFBQfL399e2bdsUFxcnm82mOXPmyN3dXbt379bSpUtzHQsAAFBS0K/SrwIAAEAyJSQkZBR2EHfj7++vuLg4Wa1W7dmzJ1vj+tJLL2nTpk2SpODgYI0fPz7L+W3btql9+/Zyd3dXXFycSpcunWVc8+bNtX79+mxPh7z//vuaOXOmypYtqwMHDshisWSLqXz58tq1a5eqVKmSLe6YmBg1btxY6enpmjVrlvr375/lfEpKilq1aqXo6Gi9+uqrWrBggf1ceHi4unfvLpPJpNWrV+u55567a50uXLggf39/paSk6K233tKkSZPuOuZuMjIy9MorrygyMlLz589Xz549s5zP/Gfx8MMPKzIyUu7u7lnOjx07ViEhIWrdurX+9a9/3XU+62Lbfcd8PxL61yjwOaOiouTn51fg8xYVRs6f3I2Zu2Ts/I2cu2Ts/Et67vSrxulXcW9K+mc/v1A3x1E7x1A3x1E7x1E7xxSXuhWr12sMGDAgWwMvSQEBAdq0aZNKly6toUOHZjvfvHlzlSlTRqmpqTp+/Ljq16+vS5cuafPmzZKk0aNH5/hzxJEjR2r+/PlKSkrSjz/+qC5dumS7pkePHjk28JK0bt06paenq2rVqurTp0+282azWSNHjtSoUaO0bt063bx50x7HypUrJUnPPvtsnhp4SVq7dq1SUlJktVo1duzYPI25G5PJpLZt2yoyMlI7duzI1sRnCgoKytbAS1LHjh0VEhKigwcPOiWe/Pbn9weW9HmLCiPnT+7GZeT8jZy7ZOz8S3LuN27ckCS9/PLLOnfunM6dO5flywD96i3FvV8tyf8O5yfq5hjq5jhq5xjq5jhq5zhq5xhn1C2/F66L1aJzgwYNcjxeqVIlSZKvr6/Kli2b7byLi4sqVqwom82mhIQESdK+ffuUkZEhk8mkVq1a5Xjf8uXL6y9/+Yu2b9+uvXv35tjEN23aNNd49+7dK0lq0aJFru/Ye+qppyRJycnJioqKUv369SXd2lhFkp5//vlc7/9nmWNat24tDw+PPI+TJJvNpoULFyoyMlLR0dFKSkrKstmNJMXHx+c6vkmTJjker1atmiTZ617UFcZ/KSou/4Uqvxg5f3I3Zu6SsfM3cu6SsfMv6bmXKnWrrX7yySdzzJN+VVnGFNd+tST/O5xfSvpnP79QN8dRO8dQN8dRO8dRO8cUl7oVq0XnqlWr5ng8s0HO7bx0q5GXpLS0NEnS+fPnJd3atCSnxj9T9erVs1z/Z5lfIHJy4cIFSX80sne6/5/nOHfunCTJx8cn17F/5sgYSdqyZYt69OihpKQk+zGLxaIyZcpIklJTU3X58uU7viMvtxpmPk2S+fQPAABASUa/emf0qwAAAMZQrDYSzA/Xr1+/r/GZXw7u5Nq1a/c1R35KS0vT4MGDlZSUpICAAG3YsEHx8fGKjY3VkSNHdOTIEU2dOlXSrfflAQAAoGDRr9KvAgAAFDfF6klnZ8p84uPq1as6f/58rk+AnDp1Ksv196JixYqSpJMnT+Z6Teb9/zxH5cqVFRcXp7i4uDzPV7lyZUm6pzE7d+6UzWaTl5eXli9fLrPZnO2azCdSAAAAUHDoV2+hXwUAACh+DPukc6NGjWQymSTJvkHLnyUmJmrPnj2SpEcfffSe58gc89///lcpKSk5XpO5i7mnp2eW97E88cQTkqQff/wxz/NljtmyZYuuXr2apzGZXyLq1q2bYwMvSZGRkXmOAQAAAM5Bv3oL/SoAAEDxY9hFZy8vL7Vu3VqS9Nlnn2XbhESSPv/8c6Wmpqps2bL3tEFKphdffFEuLi66ePGilixZku18SkqKZs+eLenWrtm3b97So0cPSVJERIQ2btyYp/k6deokDw8PJSQk6OOPP87TGIvFIkk6duyYUlNTs52PiIjI9UsOAAAA8g/96i30qwAAAMWPYRedJemdd96Ri4uL9u7dqwEDBshms0mSkpKSNGPGDM2aNUuSNGrUKHuzey98fX3Vr18/SdJ7772nJUuW2N+Xd/ToUXXv3l3Hjx+X2WzW2LFjs4x9/vnn9fzzzysjI0N9+vTRggUL7DtqZ2Rk6NChQ3rnnXe0bt06+5iKFStq/PjxkqRZs2Zp7NixWX66GB8fr7lz5+qjjz6yH2vWrJnMZrMuXryowMBA+47fV69e1bJly9SnTx9VqFDhnnN3VEL/GoX6FwAAQFFCv1r0+lUAAADcnaEXnZs1a6YZM2bIxcVFYWFhatiwoWrVqqUHHnhAU6ZMUUZGhrp3767Ro0c7PMfUqVPVpk0bXbt2TaNGjZKPj48eeOABPf7449qyZYvc3d0VEhKiunXrZhlnMpkUEhKiVq1aKSUlRePHj1edOnVUu3ZtVatWTc2bN9e8efOUmJiYZdzIkSM1ZMgQSVJISIj8/f3l6+srX19f1a9fXxMnTtSJEyfs11utVk2aNEmSFBYWpvr168vX11c1a9bU8OHDVbt2bfsXAwAAABQs+lX6VQAAgOLI0IvOktS/f39FRESoW7du8vb2VnJysiwWi9q0aaOlS5dq4cKFWX5GeK/MZrPWrFmj2bNnq0WLFvLw8NDVq1dVs2ZN9enTR9u2bVOHDh1yHGu1WvWvf/1LX3zxhQICAuTl5aWkpCRVqFBBrVq10rRp09S+ffssY0wmk6ZNm6YNGzaoc+fOql69ulJTU1W6dGk9+uijevvttzVmzJgsYwIDA7Vs2TI1b95cZrNZN2/eVL169RQcHKzw8HCVLVvW4fwBAABwf+hX6VcBAACKG1NCQkJGYQcBGFlUVFSWTXmMxsj5k7sxc5eMnb+Rc5eMnb+RcweMjM++Y6ib46idY6ib46id46idY4pL3Qz/pDMAAAAAAAAAwHlYdAYAAAAAAAAAOA2LzgAAAAAAAAAAp2HRGQAAAAAAAADgNCw6AwAAAAAAAACchkVnAAAAAAAAAIDTsOhcDE2bNk1Wq1VDhgwp7FAAAACAbOhXAQAAjI1FZwAAAAAAAACA07DoXAxVrFhRfn5+8vb2LuxQAAAAgGzoVwEAAIytVGEHgHs3aNAgDRo0qLDDyBfWxbbCDqEQmKUtzs07oX8Np94PAADgXpTUftWRXpW+DAAAGBFPOgMAAAAAAAAAnMYwi87+/v6yWq3avHmz4uPjNXr0aD3yyCPy9vZW06ZNNW/ePKWnp9uvDwsL0wsvvCBfX1/VrFlT3bt314EDB3K9//nz5/Xee++pZcuWqlGjhqpXr64WLVpoypQpunTpUrbr33//fVmtVtWpU0dnzpzJdj4jI0NdunSR1WrV008/rbS0NPu5vGzMsmvXLg0ePFj+/v6qWrWq6tSpo6eeekrvvfeeoqKislx75coVhYaGql+/fmrRooV8fX3l7e2txo0ba+TIkTp27Fiu81itVlmtVsXExCguLk4jRoxQgwYNVKVKFTVq1EgTJ07U5cuXcx0PAACAW+hX6VcBAABKCsO9XiMmJkYDBw7UmTNnZLFYlJaWpiNHjuidd97RiRMn9Mknn2jy5Mn67LPP5OrqKrPZrCtXrig8PFw7duxQRESEHnzwwSz3/OWXX9SzZ097s166dGm5uLjo4MGDOnjwoP7+97/r22+/lZ+fn31McHCwNm7cqH379mnYsGFavXp1lnuGhITop59+koeHhxYuXCg3N7c85ZeRkaHJkyfr888/tx/LzHPfvn3at2+f4uPj9cUXX9jPr1ixQuPGjZMkubq6ymKxKD09XdHR0YqOjtaaNWsUGhqqgICAXOf9/fffNWzYMF26dEnlypVTenq6YmNjNXfuXG3dulXh4eF5zgEAAMDI6FfpVwEAAIo7wzzpnGnChAl64IEHtGXLFsXGxiouLk7vvPOOJOmrr77SjBkzNG/ePE2bNs1+ftu2bfLz81NiYqKmTJmS5X6xsbHq0aOHLl26pDfeeEO//vqr4uPjderUKW3btk3PPPOMTp48qd69e+vmzZv2cW5ubgoJCZGHh4d+/PFHffXVV/ZzUVFRevfddyVJkydP1kMPPZTn/ObMmWNv4AcOHKh9+/bZ8zh06JBmzZqV7UtIxYoVNWbMGEVEROj06dOKjo7WmTNntHPnTnXv3l3JyckaOHCgkpOTc503KChI/v7+2rZtm+Li4mSz2TRnzhy5u7tr9+7dWrp0aZ5zAAAAMDL6VfpVAACA4s5wi84uLi5atWqVGjZsKEkym80aO3asnnrqKWVkZGjKlCkaM2aMhgwZIk9PT0lSgwYN7I3x999/r+vXr9vvN3XqVCUmJmr06NGaMWOG6tSpIxcXF7m4uKhBgwZauXKlHnnkER06dEjr1q3LEstDDz2kyZMnS5ImTZqkqKgo3bhxQ4MGDdLVq1f1zDPP3NMGLBcuXND06dMlSW+99ZY+/fRT+fr62s97e3urf//+GjNmTJZxXbp00cSJE9WkSROVLl1akmQymVSvXj0tWLBAAQEBOn/+vNauXZvr3NWrV9fq1avVoEEDSZK7u7t69+6tPn36SNIdxwIAAOAP9Kv0qwAAAMWd4V6vMWDAAFmt1mzHAwICtGnTJpUuXVpDhw7Ndr558+YqU6aMUlNTdfz4cdWvX18pKSkKCwuTi4tLjmOkWz9d7NSpk/bv36+ff/5ZnTp1ynJ+0KBBCg8P108//aRBgwapTZs22r17t7y8vDRv3jyZTKY857Z27Vq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",
      "text/plain": [
       "<Figure size 1440x1440 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 2, figsize=(20, 20))\n",
    "for ingredient, ax_index in zip(unique, range(4)):\n",
    "    indices = df_train[\"all_ingredients\"].str.contains(ingredient)\n",
    "    relative_freq = (\n",
    "        df_train[indices][\"cuisine\"].value_counts() / df_train[\"cuisine\"].value_counts()\n",
    "    )\n",
    "    relative_freq.plot(\n",
    "        kind=\"barh\", ax=axes.ravel()[ax_index], fontsize=24, title=ingredient\n",
    "    );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "hide_input": true,
    "tags": [
     "remove_input"
    ]
   },
   "outputs": [
    {
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       "<!-- customized style for rendering notebooks -->\n",
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       "    @font-face {\n",
       "        font-family: \"Computer Modern\";\n",
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       "    @font-face {\n",
       "        font-family: \"Computer Modern\";\n",
       "        font-weight: bold;\n",
       "        font-style: oblique;\n",
       "        src: url('http://9dbb143991406a7c655e-aa5fcb0a5a4ec34cff238a2d56ca4144.r56.cf5.rackcdn.com/cmunso.otf');\n",
       "    }\n",
       "    div.cell{\n",
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       "        margin-left:16% !important;\n",
       "        margin-right:auto;\n",
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       "    h4{\n",
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       "    div.text_cell_render{\n",
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       "        /*font-size: 130%; */\n",
       "        font-size: 100%;\n",
       "        width:800px;\n",
       "        margin-left:auto;\n",
       "        margin-right:auto;\n",
       "    }\n",
       "    .CodeMirror{\n",
       "            font-family: \"Source Code Pro\", source-code-pro,Consolas, monospace;\n",
       "    }\n",
       "    .prompt{\n",
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       "    }\n",
       "    .text_cell_render h5 {\n",
       "        font-weight: 300;\n",
       "        font-size: 22pt;\n",
       "        color: #ff0000;\n",
       "        /*color: #4057A1;*/\n",
       "        font-style: italic;\n",
       "        margin-bottom: .5em;\n",
       "        margin-top: 0.5em;\n",
       "        display: block;\n",
       "    }\n",
       "\n",
       "    .warning{\n",
       "        color: rgb( 240, 20, 20 )\n",
       "        }\n",
       "</style>\n",
       "<script>\n",
       "    MathJax.Hub.Config({\n",
       "                        TeX: {\n",
       "                           extensions: [\"AMSmath.js\"]\n",
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       "                    displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ]\n",
       "                },\n",
       "                displayAlign: 'center', // Change this to 'center' to center equations.\n",
       "                \"HTML-CSS\": {\n",
       "                    styles: {'.MathJax_Display': {\"margin\": 4}}\n",
       "                }\n",
       "        });\n",
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      ]
     },
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   ],
   "source": [
    "# Ensure this cell has remove_input tag added (to hide it in blog post text)\n",
    "# Ensure this cell has remove_input tag added (to hide it in blog post text)\n",
    "from IPython.core.display import HTML\n",
    "\n",
    "def css_styling():\n",
    "    styles = open(\"../../styles/notebook_custom_style.css\", \"r\").read()\n",
    "    return HTML(styles)\n",
    "\n",
    "css_styling()\n"
   ]
  }
 ],
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    },
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     "varRefreshCmd": "cat(var_dic_list()) "
    }
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