{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Table of Contents:\n",
    "1. [Introduction](#section-one)\n",
    "\n",
    "2. [Meet and greet data - Konnichiwa(こんにちわ)](#section-two)\n",
    "\n",
    "3. [Analyze the data- Byakugan (白ガン)](#section-three)\n",
    "\n",
    "4. [Preparing data for consumption- Sonaeru (備える)](#section-four)\n",
    "\n",
    "5. [Recommendation building phase - Tsukuru (作る)](#section-five)\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://i.pinimg.com/originals/f8/1c/4a/f81c4ab79f3aae7151099ccf7cb7a882.jpg\">\n",
    "\n",
    "<a id=\"section-one\"></a>\n",
    "# Introduction\n",
    "\n",
    "#### The notebook follows a boy whose stumbled upon this amazing dataset unintentionally. With the ability of machine learning, he explores the dataset in search of 'what to watch next?' using content based and collaborative filtering.\n",
    "\n",
    "## Problem statement\n",
    "#### Every streaming content has its own viewers and each content has it's rating. Viewers leave some good ratings for the content if they like it. But where does it apply? Viewers can spend hours scrolling through hundreds, sometimes thousands of anime's  never finding an content they like. Business need to be provided suggestions based on their likes and needs in order to create a better streaming environment that boosts revenue and increases the time spent on a website.\n",
    "\n",
    "## [What is a recommendation engine ?](https://towardsdatascience.com/web-scraping-recommender-systems-project-1d360fa678e4)\n",
    "\n",
    "<img src=\"https://miro.medium.com/max/757/1*UxsrvB1oWpTYxUgSRNW92g.jpeg\">\n",
    "\n",
    "####  It is an unsupervised learning algorithm (one that does not have a target variable to measure accuracy against) mostly used to aid in consumer decision making. I’m sure you have seen them while online shopping. They also appear in places like streaming apps (aka Netflix and Hulu) to help you select a TV show or movie to watch next and on journalism/media websites like Medium to suggest other articles you may like to read, among many other uses. Obviously many e-retailers like Amazon have already been using recommender algorithms for quite some time, but many smaller or newer sites are still in need. There are different varieties of recommenders that base their predictions on different features.\n",
    "## About Dataset\n",
    "#### This data set contains information on user preference data from 73,516 users on 12,294 anime. Each user is able to add anime to their completed list and give it a rating and this data set is a compilation of those ratings. \n",
    "\n",
    "[Anime Recommendations Database](https://www.kaggle.com/CooperUnion/anime-recommendations-database)\n",
    "\n",
    "## Project summary\n",
    "\n",
    "## Objectives of the project\n",
    "1. Meet and greet data - Konnichiwa  (こんにちわ)\n",
    "2. Analyze the data- Byakugan (白ガン)\n",
    "3. Preparing data for consumption- Sonaeru (備える)\n",
    "4. Recommendation building phase - Tsukuru (作る)\n",
    "\n",
    "### Import Libraries\n",
    "#### Let's import all necessary libraries for the analysis and along with it let's bring down our dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_kg_hide-input": true
   },
   "outputs": [],
   "source": [
    "## Database Phase\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "#Visualization Phase\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pylab as pylab\n",
    "%matplotlib inline\n",
    "pd.set_option('display.max_columns', 500)\n",
    "mpl.style.use('ggplot')\n",
    "sns.set_style('white')\n",
    "pylab.rcParams['figure.figsize'] = 12,8\n",
    "\n",
    "#ignore warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=\"section-two\"></a>\n",
    "# Meet and Greet data - Konnichiwa (こんにちわ)\n",
    "\n",
    "<img src=\"https://media.tenor.com/images/a817ee0bafb1e43469f099b63b76ca6b/tenor.png\">\n",
    "\n",
    "\n",
    "#### Konnichiwa (こんにちは or in kanji 今日は) is a Japanese greeting, typically a mid-day greeting. It is also used as an informal greeting, \"hello\". So here our guests are the data. So let's welcome our guests !"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shape of the  data is (row, column):(12294, 7)\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 12294 entries, 0 to 12293\n",
      "Data columns (total 7 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   anime_id  12294 non-null  int64  \n",
      " 1   name      12294 non-null  object \n",
      " 2   genre     12232 non-null  object \n",
      " 3   type      12269 non-null  object \n",
      " 4   episodes  12294 non-null  object \n",
      " 5   rating    12064 non-null  float64\n",
      " 6   members   12294 non-null  int64  \n",
      "dtypes: float64(1), int64(2), object(4)\n",
      "memory usage: 672.5+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "anime_data=pd.read_csv('../input/anime-recommendations-database/anime.csv')\n",
    "rating_data=pd.read_csv('../input/anime-recommendations-database/rating.csv')\n",
    "## print shape of dataset with rows and columns and information \n",
    "print (\"The shape of the  data is (row, column):\"+ str(anime_data.shape))\n",
    "print (anime_data.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shape of the  data is (row, column):(7813737, 3)\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7813737 entries, 0 to 7813736\n",
      "Data columns (total 3 columns):\n",
      " #   Column    Dtype\n",
      "---  ------    -----\n",
      " 0   user_id   int64\n",
      " 1   anime_id  int64\n",
      " 2   rating    int64\n",
      "dtypes: int64(3)\n",
      "memory usage: 178.8 MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print (\"The shape of the  data is (row, column):\"+ str(rating_data.shape))\n",
    "print (rating_data.info())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://vignette.wikia.nocookie.net/naruto/images/d/dd/Naruto_Uzumaki%21%21.png/revision/latest?cb=20161013233552\">\n",
    "\n",
    "\n",
    "> ### “I’m not gonna run away, I never go back on my word! That’s my nindo: my ninja way.” - Naruto Uzumaki"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset Details\n",
    "\n",
    "### 1)anime_data:\n",
    "\n",
    "* **anime_id** - myanimelist.net's unique id identifying an anime.\n",
    "* **name** - full name of anime.\n",
    "* **genre** - comma separated list of genres for this anime.\n",
    "* **type** - movie, TV, OVA, etc.\n",
    "* **episodes** - how many episodes in this show. (1 if movie).\n",
    "* **rating** - average rating out of 10 for this anime.\n",
    "* **members** - number of community members that are in this anime's \"group\".\n",
    "\n",
    "### 2)rating_data:\n",
    "\n",
    "* **user_id** - non identifiable randomly generated user id.\n",
    "* **anime_id** - the anime that this user has rated.\n",
    "* **rating** - rating out of 10 this user has assigned (-1 if the user watched it but didn't assign a rating)."
   ]
  },
  {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Merging dataframes - Fusion(融合)\n",
    "![FusionDanceFinaleGotenTrunksBuuSaga.png](attachment:FusionDanceFinaleGotenTrunksBuuSaga.png)\n",
    "\n",
    "#### In this section we are fusing our csv guests to make the recomenndation engine more powerful. FUSION HA !\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>anime_id</th>\n",
       "      <th>anime_title</th>\n",
       "      <th>genre</th>\n",
       "      <th>type</th>\n",
       "      <th>episodes</th>\n",
       "      <th>rating</th>\n",
       "      <th>members</th>\n",
       "      <th>user_id</th>\n",
       "      <th>user_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32281</td>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.37</td>\n",
       "      <td>200630</td>\n",
       "      <td>99</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>32281</td>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.37</td>\n",
       "      <td>200630</td>\n",
       "      <td>152</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32281</td>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.37</td>\n",
       "      <td>200630</td>\n",
       "      <td>244</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>32281</td>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.37</td>\n",
       "      <td>200630</td>\n",
       "      <td>271</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>32281</td>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.37</td>\n",
       "      <td>200630</td>\n",
       "      <td>278</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   anime_id     anime_title                                 genre   type  \\\n",
       "0     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "1     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "2     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "3     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "4     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "\n",
       "  episodes  rating  members  user_id  user_rating  \n",
       "0        1    9.37   200630       99            5  \n",
       "1        1    9.37   200630      152           10  \n",
       "2        1    9.37   200630      244           10  \n",
       "3        1    9.37   200630      271           10  \n",
       "4        1    9.37   200630      278           -1  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anime_fulldata=pd.merge(anime_data,rating_data,on='anime_id',suffixes= ['', '_user'])\n",
    "anime_fulldata = anime_fulldata.rename(columns={'name': 'anime_title', 'rating_user': 'user_rating'})\n",
    "anime_fulldata.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "#### We have successfully merged(fused) the csv's and made it powerful. Let's get into action\n",
    "\n",
    "<img src=\"https://media.comicbook.com/2020/05/attack-on-titan-final-season-eren-yeager-1222950-1280x0.jpeg\">\n",
    "\n",
    "\n",
    "> ### “I want to see and understand the world outside. I don’t want to die inside these walls without knowing what’s out there.” – Eren Jaeger ( Attack on Titan | Shingeki no Kyojin)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=\"section-three\"></a>\n",
    "# Analyze the data- Byakugan (白ガン)\n",
    "<img src=\"https://giantbomb1.cbsistatic.com/uploads/scale_medium/16/164924/2763709-5436457361-Hinat.jpg\">\n",
    "\n",
    "\n",
    "#### Inorder to build a recommendation engine, we have to understand our dataset. So, let's see an overview of the dataset. BYAKUGAAN !!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top 10 Anime based on rating counts\n",
    "#### I'm sensing the top anime's based on their rating counts provided by the user id's. Let's see who tops the throne"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "_kg_hide-input": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'User Rating count')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fIG/cec+ePW1CbJMmTdSgQQNdvHhR33//fYHtO3ToYHfIQt7PykWdvz0wMNDuRaW1a9eWJN1777351nl7e8vb21uXL1+2GZ+adxFt165d84Vj6eo//IGBgcrJydH+/fuLVOc999yjqlWr5lveq1cvubi46OjRo7JYLDbrDMNQQkKCPvzwQ02dOlUTJ07UhAkT9MEHH0i6OiTjWk2bNpUkTZkyRT/99JOys7MLrCc1NVX79++Xp6en3XMkyToUaM+ePdZleZ+Nnj172oTpPHnv8aLI22evXr3szmzSr18/mUwmu+dIktq0aaPbb7893/IbfU9JUtu2beXp6VnoNgcOHNDHH3+s6dOnW1+badOm6bbbblNqamqRv8g54r777su3rGrVqqpUqZKys7Nt3s95Y+B79uxp9/3cq1evIj9/3mekV69eds/5f8qroWPHjvL29s63vkOHDqpWrZouXryoX375pcj1FCQwMNDuTFM3+p7I+2wtWLBAq1at0oULF26+SJRJjEkHblJeELjjjjvsrr/jjjvk4uKiS5cuKS0tLV/4Kqhd9erVbdoVZSxqUVzbe/T333/Ly8sr3zZ5vd3Xbns9ly5dUkxMjCT7X2D69u2r119/XcuXLy/wC0716tXtLs8LREXtTfP397e7PO+XgoLWe3h4KC0tzeb5jh8/Lkl66623rOO0C5KamlqkOgt6T7i7u6tatWqyWCxKTk6Wn5+fpKs9d0899ZR2795d4D4zMjJsHo8YMUIJCQnaunWrHn74Ybm7u6tRo0Zq1aqVevfubXOB4IkTJ2QYhjIyMtS4ceNCa7/2WJOTkws9npo1axa6L3uu93krV66cfH19ZbFYZLFYrOcoz/XeU4V9WSlIjRo1Clx38eJFjRs3Ths3bix0HxkZGUW+duFG6/L09NT58+dt3s9557WgNoUdY0FOnTol6f/C7vVc77WVpFq1aun06dN2v4DdqOJ+T4SEhOiRRx7RwoUL9fzzz8tkMikgIEAtWrRQ165dbcaxA4UhpAM3yTAMSbqh+cMdVZL79vT0lLe3t9LS0nTy5Ek1bNgw3zZJSUmSihaq1q1bZ+1Bevvtt/Otzwv+CQkJOnLkiOrUqZNvG3s9ejfjevsryvPl/SoSEhJy3fNyIwHneq59T7z00kvavXu3mjdvrtGjR6thw4by8vLSbbfdpuzsbLsXBJcvX16ffPKJ9u7dq82bN2vXrl3avXu39u7dqwULFmj06NHWoSN5M+l4eXld9yZURZmj/kbe13mftxvdprjfU5IK7SWeOXOmNm7cqLvuuktjx45VYGCgKleubP0V4N5779Xp06cdOq6iupFjLeg1KYnz9p8c+Vt6I+fJ3kxQ1yqJYxs/frzuv/9+xcbGateuXdq1a5e+/vprff3117r33ns1b968fENhgP/EOwS4Sf7+/jp8+LCOHz9ud6zhyZMndeXKFZUrV85uT9nJkyft7jcpKanQdsWpUaNG2rp1q/bv3283pO/bt0+SrtuLeq1rp1jctWtXoduuWLFCzz33nMP7dgZ5vW/du3e3jl0tLgW9J7Kzs3X69GlJV69lkK5+2dm0aZNcXV01b94866wieY4dO1bocwUFBVnHmGdnZ2vNmjV6+eWX9d5776lnz54KCAiwHqubm1uRbuSV14td0PGcOHHC4X3lyfu1o6C2ly5dsp6j/+xFLw15w7lmzZols9lssy4zM9M6frm05b2f8nq//9ONvFZ5X04PHz7s0PZ5r23er1SF1XHta5v3haeg61sKOqaSVqtWLQ0bNsx6fVFCQoLGjh2rLVu2aPny5Ro4cGCp1IX/HoxJB25S3ljcgm7Os2LFCklXL66z13Py/fff2/05NW++5+bNm5d4j0vnzp1tnvNaubm5+vbbbyVJYWFhDu3v5MmT2rZtm0wmk3744QclJiba/W/+/PmSpJUrV9odr+/M8i64LGxM/Y366aef7A6RiYmJ0ZUrV3TnnXdaA016erquXLkiDw+PfAFdsv+aFsTd3V19+/ZVUFCQDMNQYmKipKuByGw269y5c0W6WDckJETS1bm67b2+q1evdnhfefI+b2vWrLF7rcbKlStlGIZq167tFCE9b6y5vSEVa9asKbBnOC943qrPRd55/e677+z2POcNXSuKvGEdq1evdmhoWt775YcffrA7Rj/vTsV513vkyXud//rrr3xtDMMo9D4HNyLvtSnqtUItW7ZUZGSkpKvTpgLXQ0gHbtKAAQPk4eGhnTt3avHixTbrduzYoc8++0yS8s38ksdiseidd96x+Ydx3759+n//7/9JkvXGGSWpb9++qlatmrZv364lS5bYrJsxY4aOHTumxo0b250JxJ4VK1bIMAy1atWq0KEeeRdIpqSkaMuWLTd1DLdaly5d1KRJE8XHx2vy5Mn5bnoiXe0R/M/z6Yi///5b06dPt/nyduzYMc2ZM0eS7XvCx8dHlSpV0oULF/IF8ri4OOv76D8tWbLEbqg5fvy4df7ya4fx5M0sM378eLuvVXZ2tmJjY23GxXfr1k3VqlXT0aNHNXfuXJtAmpCQoC+//LLgk1CAHj16qHr16jpx4kS+z82hQ4ess9D85yw9paVu3bqSlO99sH//fr3zzjsFtssLnjc6P3lRde/eXT4+Pvrrr7/0wQcf2LxWe/fuvaH3cefOndWoUSOdPHlS48aNU3p6us36jIwMm5lTWrZsqbvvvlsXL17M9/63WCx67bXXJEkPPfSQzcwvrVu3louLi+Li4mxu1JSbm6tZs2ZZfwksLnmvzbFjx+wG9fXr12vHjh35vuxkZWVZj7ckhsDhn4fhLsBNqlatmt566y09++yzevXVV7V06VKZzWalpKQoISFBV65c0ahRowoMuPfff78+//xz/fDDDwoMDFRqaqp27NihnJwcPfDAA3bvKFiYJ5980vpzf15v7K5du2xuMvPEE0/YzPzg4eGhmTNnauTIkZo+fbqWL1+uOnXq6LffftOff/6pypUr65133nFoDLFhGFq5cqWk68/e4ebmpvDwcC1evFjLly+3uamJs3NxcdH//u//auTIkfrqq6+0Zs0aNWzYUP7+/jp37pxOnTqlI0eOyMfHp8jDYfr06aNNmzapS5cuat68uTIzM7Vt2zZdunRJHTt2tNmfq6urHn/8cb355psaN26clixZopo1a+rYsWPat2+fHn/8cbs36Pn66681ffp01apVS/Xr11eFChV05swZ61ST4eHh1lkqpKtfSiZMmKC3335bI0aMUJ06dVS3bl25u7srKSlJhw8fVnp6uqZOnWqdvrF8+fJ6++239dhjj+mDDz7Q2rVr1bhxY+tnY8iQIUWeYrRcuXKaPXu2Ro4cqYULF2rDhg26++67df78eW3fvl2XL19Wnz59nGYowZNPPqlnnnlGs2bN0nfffad69eopJSVFO3fuVM+ePbV79267w4G6dOmiFStW6K233tJPP/1kveB8xIgRDl+IWRQVKlTQW2+9pccff1zvvvuuYmJirDczSkhI0ODBg/XJJ5/YnVGnIC4uLpo7d65GjBihdevW6aeffrK5mdFvv/2mwMBAm2GC77zzjoYMGaI1a9YoPj5eLVq0sN7MKDMzU6GhoRo9erTN89SoUUODBg3SkiVLNGzYMLVo0UKenp46cOCAzp8/r8GDB+vTTz8ttnNVs2ZNNW7cWAcOHFDv3r3VpEkTubu7q27dunrkkUcUHx+vxYsXq0qVKmrcuLEqV66sjIwM7d69W2lpaQoICLih6UdR9hDSgWLQpUsXLV++XB999JG2bdumtWvXysPDQ/fcc48GDx5caPgMCgrSgAEDNHfuXOudHs1msx544AFFRUUVuZaDBw/m+0f/woUL2rt3r/WxvaEUISEhWrlypd5//31t27ZNv//+u3x8fDRw4EA99dRT1jGr17Nt2zadPHlS5cqVU/fu3a+7fZ8+fbR48WJt3LhRqampdqdIdFb+/v5atmyZli1bpu+++06///679u3bJ29vb+uc644OEbpWrVq1tGzZMs2cOVPbtm1Tenq6atWqpX79+mno0KH5LnTLu0vqwoUL9ccff+j333+X2WzW22+/rd69e9sN6WPGjNEPP/ygffv2affu3crIyJCPj49CQkLUv3//fHcbla7+GhQaGqpPP/1U8fHx+vnnn+Xq6ipfX1+1atVKnTp1yne8oaGh+vrrrzVnzhwlJCRow4YNqlOnjiZPnqxBgwbd0H0AmjVrpujoaM2fP1+bN2/WunXrdPvtt6tZs2YaMGCAevXqVaIXWxdF9+7dtXjxYr3//vtKTEzUsWPHVLt2bU2aNEkPPvhggRfidu7cWVOmTNFXX32lrVu3KisrS5LUu3fvEgnp0tVftr788kvNnTtXO3fu1MmTJ1W3bl1NnjxZHTp00CeffGJ3asTC1KpVSytWrNBnn32mdevWWTsufHx8dN999+Wb2al27dpauXKlFixYoNjYWMXGxsrNzU133XWXIiIiNGDAALtfFF566SVVr15dy5cv186dO+Xp6anWrVtrzJgxhc56dKPmzp2rGTNmaMeOHYqJiVFubq51Vpe+ffuqXLly2rlzp37//XedO3dOFStW1J133qlRo0YpKirqulN2ApJkMkriknIA1zVhwgStXLlSr7/+eoFTEAKAM4iOjtYLL7ygjh072v3SB6D4MSYdAADo7Nmzdofe7NmzxzqNat6FjwBKHsNdAACAEhMTNXz4cJnNZtWsWVPu7u46fvy4Dhw4IOnq0DR7w6AAlAxCOgAAUEBAgAYNGqQdO3Zo165dunjxojw9PdWmTRtFRkZe90JwAMWLMekAAACAk6En3Y4GDRqUdgkAAAAoI/JuHnctQnoB7J0sAAAAoDgV1DnM7C4AAACAkyGkAwAAAE6GkA4AAAA4GUI6AAAA4GQI6QAAAICTIaQDAAAAToaQDgAAADgZQjoAAADgZAjpAAAAgJNxipCem5uriIgIPfbYY5KktLQ0DR8+XF27dtXw4cN1/vx567bz5s1TWFiYunXrps2bN1uX//LLL+rVq5fCwsL0yiuvyDAMSVJ2drbGjBmjsLAw9e/fXydOnLi1BwcAAAAUkVOE9MWLF6tevXrWx/Pnz1doaKjWrVun0NBQzZ8/X5J06NAhxcTEKCYmRgsWLNC0adOUm5srSZo6daqmT5+udevW6ciRI4qLi5MkLV26VBUrVtT69es1bNgwzZgx49YfIAAAAFAEpR7Sk5OT9eOPPyoqKsq6LDY2VhEREZKkiIgIbdiwwbo8PDxc7u7uqlWrlmrXrq19+/YpJSVFGRkZCg4OlslkUkREhGJjYyVJGzduVGRkpCSpW7du2rp1q7WXHQAAAHBGpR7SX3vtNY0fP14uLv9XytmzZ+Xr6ytJ8vX1VWpqqiTJYrHI39/fup2fn58sFku+5f7+/rJYLNY21atXlyS5ubnJy8tL586dK/HjAgAAAG5UqYb0H374QVWqVFFgYKBD29vrATeZTAUuL6wNAAAA4KzcSvPJd+3apY0bNyouLk6XLl1SRkaGxo0bp6pVqyolJUW+vr5KSUlRlSpVJF3tIU9OTra2t1gs8vX1zbc8OTnZ2hPv7++vpKQk+fv7KycnR+np6fL29r61BwoAAAAUQan2pI8dO1ZxcXHauHGjZs6cqTZt2mjGjBnq1KmToqOjJUnR0dHq3LmzJKlTp06KiYlRdna2jh8/riNHjqhp06by9fWVh4eH9uzZI8Mw8rVZuXKlJGnt2rVq06YNPekAAABwaqXak16QRx99VGPGjNGyZctUvXp1zZkzR5JUv3599ejRQz179pSrq6smT54sV1dXSVdnd5k4caKysrLUvn17tW/fXpIUFRWl8ePHKywsTJUqVdKsWbNK7bgAAAAAR5gMpjrJp0GDBkpMTCztMgAAAPAPV1DuLPXZXQAAAADYcsrhLs7seNoZJaWnlXYZxaq6l7dqefuUdhkAAAD4N0J6ESWlp+nhZe+XdhnFamHUk4R0AAAAJ8JwFwAAAMDJENIBAAAAJ0NIBwAAAJwMIR0AAABwMoR0AAAAwMkQ0gEAAAAnQ0gHAAAAnAwhHQAAAHAyhHQAAADAyRDSAQAAACdDSAcAAD1BuPUAACAASURBVACcDCEdAAAAcDKEdAAAAMDJENIBAAAAJ0NIBwAAAJwMIR0AAABwMoR0AAAAwMkQ0gEAAAAnQ0gHAAAAnAwhHQAAAHAyhHQAAADAyRDSAQAAACdDSAcAAACcDCEdAAAAcDKEdAAAAMDJENIBAAAAJ0NIBwAAAJwMIR0AAABwMoR0AAAAwMkQ0gEAAAAnQ0gHAAAAnAwhHQAAAHAyhHQAAADAyRDSAQAAACdDSAcAAACcDCEdAAAAcDKEdAAAAMDJENIBAAAAJ0NIBwAAAJwMIR0AAABwMoR0AAAAwMmUaki/dOmSoqKi1Lt3b4WHh+vdd9+VJM2dO1ft2rVTnz591KdPH23atMnaZt68eQoLC1O3bt20efNm6/JffvlFvXr1UlhYmF555RUZhiFJys7O1pgxYxQWFqb+/fvrxIkTt/YgAQAAgCJyK80nd3d316JFi+Th4aHLly/rgQceUPv27SVJw4YN04gRI2y2P3TokGJiYhQTEyOLxaLhw4dr7dq1cnV11dSpUzV9+nQ1a9ZMI0eOVFxcnDp06KClS5eqYsWKWr9+vWJiYjRjxgzNnj27NA4XAAAAcEip9qSbTCZ5eHhIknJycpSTkyOTyVTg9rGxsQoPD5e7u7tq1aql2rVra9++fUpJSVFGRoaCg4NlMpkUERGh2NhYSdLGjRsVGRkpSerWrZu2bt1q7WUHAAAAnFGpj0nPzc1Vnz591LZtW7Vt21ZBQUGSpCVLlqhXr16aOHGizp8/L0myWCzy9/e3tvXz85PFYsm33N/fXxaLxdqmevXqkiQ3Nzd5eXnp3Llzt+rwAAAAgCIr9ZDu6uqqVatWadOmTdq3b59+//13DRo0SOvXr9eqVavk6+urN954Q5Ls9oCbTKYClxfWBgAAAHBWpR7S81SsWFGtW7fW5s2b5ePjI1dXV7m4uKh///7av3+/pKs95MnJydY2FotFvr6++ZYnJyfL19fX2iYpKUnS1SE16enp8vb2voVHBgAAABRNqYb01NRUXbhwQZKUlZWln3/+WQEBAUpJSbFus2HDBtWvX1+S1KlTJ8XExCg7O1vHjx/XkSNH1LRpU/n6+srDw0N79uyRYRiKjo5W586drW1WrlwpSVq7dq3atGlDTzoAAACcWqnO7pKSkqIJEyYoNzdXhmGoe/fu6tixo8aPH6/ffvtNklSzZk1Nnz5dklS/fn316NFDPXv2lKurqyZPnixXV1dJ0tSpUzVx4kRlZWWpffv21llioqKiNH78eIWFhalSpUqaNWtW6RwsAAAA4CCTwVQn+TRo0ECJiYl218UfP6SHl71/iysqWQujnlRIrbtKuwwAAIAyp6Dc6TRj0gEAAABcRUgHAAAAnAwhHQAAAHAyhHQAAADAyRDSAQAAACdDSAcAAACcDCEdAAAAcDKEdAAAAMDJENIBAAAAJ0NIBwAAAJwMIR0AAABwMoR0AAAAwMkQ0gEAAAAnQ0gHAAAAnAwhHQAAAHAyhHQAAADAyRDSAQAAACdDSAcAAACcDCEdAAAAcDKEdAAAAMDJENIBAAAAJ0NIBwAAAJwMIR0AAABwMoR0AAAAwMkQ0gEAAAAnQ0gHAAAAnAwhHQAAAHAyhHQAAADAyRDSAQAAACdDSAcAAACcDCEdAAAAcDKEdAAAAMDJENIBAAAAJ0NIBwAAAJwMIR0AAABwMoR0AAAAwMkQ0gEAAAAnQ0gHAAAAnAwhHQAAAHAyhHQAAADAybiVdgH475WZclSXUk+VdhnFqlyVGqrgW7u0ywAAAGUcIR037FLqKe2ZMbC0yyhWzcZ9RUgHAACljuEuAAAAgJMp1ZB+6dIlRUVFqXfv3goPD9e7774rSUpLS9Pw4cPVtWtXDR8+XOfPn7e2mTdvnsLCwtStWzdt3rzZuvyXX35Rr169FBYWpldeeUWGYUiSsrOzNWbMGIWFhal///46ceLErT1IAAAAoIhKNaS7u7tr0aJFWr16taKjo7V582bt2bNH8+fPV2hoqNatW6fQ0FDNnz9fknTo0CHFxMQoJiZGCxYs0LRp05SbmytJmjp1qqZPn65169bpyJEjiouLkyQtXbpUFStW1Pr16zVs2DDNmDGj1I4XAAAAcESphnSTySQPDw9JUk5OjnJycmQymRQbG6uIiAhJUkREhDZs2CBJio2NVXh4uNzd3VWrVi3Vrl1b+/btU0pKijIyMhQcHCyTyaSIiAjFxsZKkjZu3KjIyEhJUrdu3bR161ZrLzsAAADgjEp9THpubq769Omjtm3bqm3btgoKCtLZs2fl6+srSfL19VVqaqokyWKxyN/f39rWz89PFosl33J/f39ZLBZrm+rVq0uS3Nzc5OXlpXPnzt2qwwMAAACKrNRDuqurq1atWqVNmzZp3759+v333wvc1l4PuMlkKnB5YW0AAAAAZ1XqIT1PxYoV1bp1a23evFlVq1ZVSkqKJCklJUVVqlSRdLWHPDk52drGYrHI19c33/Lk5GRrT7y/v7+SkpIkXR1Sk56eLm9v71t1WAAAAECRlWpIT01N1YULFyRJWVlZ+vnnnxUQEKBOnTopOjpakhQdHa3OnTtLkjp16qSYmBhlZ2fr+PHjOnLkiJo2bSpfX195eHhoz549MgwjX5uVK1dKktauXas2bdrQkw4AAACnVqo3M0pJSdGECROUm5srwzDUvXt3dezYUc2aNdOYMWO0bNkyVa9eXXPmzJEk1a9fXz169FDPnj3l6uqqyZMny9XVVdLV2V0mTpyorKwstW/fXu3bt5ckRUVFafz48QoLC1OlSpU0a9asUjteAAAAwBEmg6lO8mnQoIESExPtros/fkgPL3v/FldUshZGPamQWncVud2537b+I+84WrlhaJHbpZ7N0PnzmSVQUempVKmCqlT1LO0yAAD4Rysod5ZqTzrwT3H+fKYWfhRX2mUUq4dHtiekAwBQSpzmwlEAAAAAVxHSAQAAACdDSAcAAACcDCEdAAAAcDIOh/QdO3bo1KlThW6TlJSkHTt23HRRAAAAQFnmcEgfMmSIVqxYUeg20dHRGjJkyE0XBQAAAJRlDod0R6ZTNwyDu3kCAAAAN6lYx6QnJSXJw8OjOHcJAAAAlDmF3szovffes3kcHx+fb5kkXblyRUlJSYqJiVGLFi2Kt0IAAACgjHE4pJtMJsXHxys+Pr7A7f38/DR27Njiqw4AAAAogwoN6YsXL5Z0daz50KFDFRkZqcjIyHzbubi4qHLlyqpbt65cXJjVEQAAALgZhYb0kJAQ6/9HRkaqS5cuNssAAAAAFL9CQ/q1Xn/99ZKsAwAAAMC/ORzSr5WZman09HTl5ubaXV+jRo2bKgoAAAAoy4oU0qOjo7VgwQL9+eefBW5jMpl04MCBmy4MAAAAKKscDukrVqzQpEmT5OrqqpYtW8rf319ubjfUEQ8AAACgEA6n7IULF6pSpUr6/PPPVa9evZKsCQAAACjTHA7pR48eVWRkJAEdQKEunUpTdsqF0i6jWLn7VlS5Gt6lXQYAoAxxOKRXqlRJ7u7uJVkLgH+A7JQL+vO5r0q7jGJVb+ZAQjoA4JZy+M5DHTt2VHx8vAzDKMl6AAAAgDLP4Z705557ToMGDdKUKVP0wgsvyMPDoyTrAoD/eqfPH1dqRnJpl1Gsqnj6q1qlWqVdBgD84zkc0p955hmVL19eS5cu1TfffKM6derIy8sr33Ymk0mLFi0q1iIB4L9Rakay3lk1srTLKFZj+3xESAeAW8DhkB4fH2/9/7///lsHDx60u53JZLr5qgAAAIAyzOGQ/ttvv5VkHQCAf7CsC0eVffFUaZdRrNw9auj2irVLuwwA/1DcjQgAUOKyL55S4nf3l3YZxapBjy8J6QBKjMOzuwAAAAC4NRzuSd+xY4fDO23VqtUNFQMAAACgCCF98ODBDl8UWtBFpQAAAACuz+GQ/uSTT9oN6RcuXND+/fu1e/dudezYUU2aNCnWAgEAAICyxuGQPnr06ELXr1ixQv/617/07LPP3nRRAAAAQFlWbBeO9u3bV8HBwZo5c2Zx7RIAAAAok4p1dpcGDRooISGhOHcJAAAAlDnFGtKTk5OVm5tbnLsEAAAAypxiCem5ublaunSp1q5dq8DAwOLYJQAAAFBmOXzhaOfOne0uz83N1ZkzZ5Sbm6vbbruNC0cBAACAm+RwSDcMw/4O3NxkNpvVtGlTDR48WPXq1Su24gAAAICyyOGQvnHjxpKsAwCAMuH8mePKSEsu7TKKlae3vyr51CrtMoB/FIdDOgAAuHkZacla9b+PlHYZxarPEwsI6UAxu6GQfvnyZf31119KT0+Xp6en6tWrp9tuu624awMAAADKpCKF9IyMDL311ltavXq1Ll26ZF1erlw59e7dW+PGjVPFihWLvUgAAACgLHE4pGdkZGjQoEH6448/5OHhoZYtW6patWo6ffq0Dh48qK+//lq7du3Sl19+KU9Pz5KsGQAAAPhHczikz5s3T3/88YcGDRqkZ5991qbHPD09XbNnz9aSJUs0b948jR07tkSKBQAAAMoCh29mtG7dOjVr1kxTpkzJN6TFy8tLL7/8spo1a6Z169YVe5EAAABAWeJwSE9KSlJISEih24SEhCgpKcnhJ09KStLgwYPVo0cPhYeHa9GiRZKkuXPnql27durTp4/69OmjTZs2WdvMmzdPYWFh6tatmzZv3mxd/ssvv6hXr14KCwvTK6+8Yp3XPTs7W2PGjFFYWJj69++vEydOOFwfAAAAUBocHu5Svnx5nT17ttBtUlNTVb58eYef3NXVVRMmTFCTJk2UkZGhfv366Z577pEkDRs2TCNGjLDZ/tChQ4qJiVFMTIwsFouGDx+utWvXytXVVVOnTtX06dPVrFkzjRw5UnFxcerQoYOWLl2qihUrav369YqJidGMGTM0e/Zsh2sEAAAAbjWHe9IDAwP1/fff68iRI3bXHzt2TN99950CAwMdfnJfX181adJEkuTp6amAgABZLJYCt4+NjVV4eLjc3d1Vq1Yt1a5dW/v27VNKSooyMjIUHBwsk8mkiIgIxcbGSrp6E6bIyEhJUrdu3bR169YC754KAAAAOAOHe9IfeeQRPfzww4qKitJDDz2k1q1by9fXV6dPn1Z8fLw+++wzZWZm5uv9dtSJEyd08OBBBQUFadeuXVqyZImio6MVGBioCRMmqFKlSrJYLAoKCrK28fPzk8VikZubm/z9/a3L/f39rWHfYrGoevXqVw/WzU1eXl46d+6cqlSpckN1AgCAm3f69GmlpqaWdhnFrkqVKqpWrVppl4F/AIdDemhoqKZMmaJXX31V8+bN07x586zrDMOQm5ubXn75ZbVt27bIRVy8eFFPP/20Jk2aJE9PTw0aNEhPPPGETCaT5syZozfeeEOvv/663R5wk8lU4PK82gpaBwAASkdqaqpmzpxZ2mUUu+eee46QjmJRpJsZ3X///Wrfvr1WrVqlgwcPKj09XV5eXmrUqJF69+6tmjVrFrmAy5cv6+mnn1avXr3UtWtXSZKPj491ff/+/fX4449LutpDnpycbF1nsVjk6+ubb3lycrJ8fX2tbZKSkuTv76+cnBylp6fL29u7yHUCAAAAt0qRQrok1ahRQ6NGjSqWJzcMQy+++KICAgI0fPhw6/KUlBRryN6wYYPq168vSerUqZPGjh2r4cOHy2Kx6MiRI2ratKlcXV3l4eGhPXv2KCgoSNHR0Ro8eLC1zcqVKxUcHKy1a9eqTZs29KQDAADAqRU5pBennTt3atWqVTKbzerTp4+kqz8TrVmzRr/99pskqWbNmpo+fbokqX79+urRo4d69uwpV1dXTZ48Wa6urpKkqVOnauLEicrKylL79u3Vvn17SVJUVJTGjx+vsLAwVapUSbNmzSqFIwUAAAAc53BI/+KLL/Txxx9ryZIl8vPzy7feYrHowQcf1GOPPab+/fs7tM+WLVsqMTEx3/IOHToU2GbUqFF2e/LvvvturVmzJt/ycuXK6d1333WoHgAAgFvteNoZJaWnlXYZxa66l7dqeftcf0PY5XBIX7NmjapVq2Y3oEtXZ1rx9/fX6tWrHQ7pAAAAZV1SepoeXvZ+aZdR7BZGPUlIvwkOz5N++PBhNWzYsNBtGjRooMOHD990UQAAAEBZ5nBPenp6uipWrFjoNp6enjp//vxNFwUAAICyJzPlqC6lnirtMopduSo1VMG3dpHaOBzSq1WrZnf8+LUSExO5SRAAAABuyKXUU9ozY2Bpl1Hsmo37qsgh3eHhLq1bt9bmzZuVkJBgd31CQoLi4uIUGhpapAIAAAAA2HK4J33kyJH67rvvNHz4cD3wwANq166d/Pz8ZLFYFBcXpy+++ELu7u4aOXJkSdYLAAAA/OM5HNIDAgI0e/ZsjR07VosWLdLixYut6wzDkKenp9555x3Vq1evRAoFAAAAyooi3czovvvu04YNG7Ry5Urt3btX6enp8vLyUrNmzRQREaHKlSuXVJ0AAABAmVHkO45WrlxZDz/8cEnUAgAAAEBFuHAUAAAAwK1BSAcAAACcDCEdAAAAcDKEdAAAAMDJENIBAAAAJ0NIBwAAAJwMIR0AAABwMoR0AAAAwMk4fDOjzp07X3cbFxcXeXp6KiAgQF27dlW3bt1uqjgAAACgLHI4pBuGoZycHKWkpFxt6OYmb29vpaWlKScnR5Lk6+urs2fP6uDBg/r222/VoUMHvf/++3J1dS2Z6gEAAIB/IIeHu6xevVp+fn5q2bKlPv/8c+3bt09btmzRvn37tGTJErVs2VL+/v6Ki4vT999/r3bt2mnTpk1avHhxSdYPAAAA/OM4HNJnzZql9PR0ffLJJ2revLlcXK42dXFxUYsWLbRw4UJduHBBs2fPVp06dTRnzhz5+fnpm2++KbHiAQAAgH8ih0P6+vXr1alTJ7m52R8h4+7uro4dO2rdunWSpPLlyys0NFSHDx8unkoBAACAMsLhkJ6WlqbLly8Xuk1OTo7S0tKsj318fJSbm3vj1QEAAABlkMMhvVatWlq3bp0yMjLsrs/IyNC6det0xx13WJedPn1alSpVuvkqAQAAgDLE4ZA+YMAAWSwWDRgwQKtXr9aJEyeUlZWlEydOaNWqVerfv79SUlI0cOBASVdng4mPj1ejRo1KrHgAAADgn8jhKRiHDh2qw4cP68svv9QLL7yQb71hGBowYICGDh0qSTp79qzCw8PVtm3b4qsWAAAAKAMcDumSNHXqVP3P//yPVq5cqYMHDyojI0Oenp5q1KiRIiIi1KpVK+u2Pj4+Gjt2bLEXDAAAAPzTFSmkS1LLli3VsmXLkqgFAAAAgIowJh0AAADArVHknvTc3FwdPnxY58+f15UrV+xuc+2wFwAAAABFU6SQ/v7772vRokVKT08vdLuDBw/eVFEAAABAWeZwSP/oo480d+5ceXl5qU+fPvL39y/w7qMAAAAAbpzDKXvp0qXy8/PTypUrVaVKlZKsCQAAACjTHL5wNCkpSV26dCGgAwAAACXM4ZDu4+OjnJyckqwFAAAAgIoQ0rt3766ff/5Z2dnZJVkPAAAAUOY5HNKfeeYZVatWTU8//bSOHz9ekjUBAAAAZZrDF46Gh4crJydHu3fv1qZNm+Tl5SUvL69825lMJm3YsKFYiwQAAADKEodDumEYcnV1VfXq1W2W2dsOAAAAwI1zOKRv3LixJOsAAAAA8G8Oj0kHAAAAcGsQ0gEAAAAnU+Bwl+joaElSly5d5OnpaX3siIiIiJuvDAAAACijCgzpEyZMkMlkUlBQkDw9Pa2PC2MYhkwmEyEdAAAAuAkFhvTXXntNJpNJ1apVkyS9/vrrxf7kSUlJev7553XmzBm5uLhowIABGjp0qNLS0vTss8/q5MmTqlmzpmbPnq1KlSpJkubNm6dly5bJxcVFL730ktq1aydJ+uWXXzRx4kRlZWWpQ4cOevHFF2UymZSdna3nn39ev/76q7y9vTVr1izdcccdxX4sAAAAQHEpMKT37dvX5nFkZGSxP7mrq6smTJigJk2aKCMjQ/369dM999yjFStWKDQ0VI8++qjmz5+v+fPna/z48Tp06JBiYmIUExMji8Wi4cOHa+3atXJ1ddXUqVM1ffp0NWvWTCNHjlRcXJw6dOigpUuXqmLFilq/fr1iYmI0Y8YMzZ49u9iPBQAAACguDl84umPHDp06darQbZKSkrRjxw6Hn9zX11dNmjSRJHl6eiogIEAWi0WxsbHWITMRERHWmyPFxsYqPDxc7u7uqlWrlmrXrq19+/YpJSVFGRkZCg4Otg63iY2NlXR16si8LxjdunXT1q1bmcsdAAAATs3hkD5kyBCtWLGi0G2io6M1ZMiQGyrkxIkTOnjwoIKCgnT27Fn5+vpKuhrkU1NTJUkWi0X+/v7WNn5+frJYLPmW+/v7y2KxWNvk3YDJzc1NXl5eOnfu3A3VCAAAANwKDod0R3qf8y4cLaqLFy/q6aef1qRJk+Tp6VmkGkwmU4HLC2sDAAAAOKtinSc9KSlJHh4eRWpz+fJlPf300+rVq5e6du0qSapatapSUlIkSSkpKapSpYqkqz3kycnJ1rYWi0W+vr75licnJ1t74v39/ZWUlCRJysnJUXp6ury9vW/8IAEAAIASVuCFo5L03nvv2TyOj4/Pt0ySrly5oqSkJMXExKhFixYOP7lhGHrxxRcVEBCg4cOHW5d36tRJ0dHRevTRRxUdHa3OnTtbl48dO1bDhw+XxWLRkSNH1LRpU7m6usrDw0N79uxRUFCQoqOjNXjwYGublStXKjg4WGvXrlWbNm3oSQcAAIBTczikm0wmxcfHKz4+vsDt/fz8NHbsWIeffOfOnVq1apXMZrP69OkjSXruuef06KOPasyYMVq2bJmqV6+uOXPmSJLq16+vHj16qGfPnnJ1ddXkyZPl6uoqSZo6dap1Csb27durffv2kqSoqCiNHz9eYWFhqlSpkmbNmuVwfQAAAEBpKDSkL168WNLVHu+hQ4cqMjLS7lSMLi4uqly5surWrSsXF8dH0LRs2VKJiYl21y1atMju8lGjRmnUqFH5lt99991as2ZNvuXlypXTu+++63BNAAAAQGkrNKSHhIRY/z8yMlJdunSxWQYAAACg+BUa0q9VEnccBQAAAJBfsc7uAgAAAODmOdyTLl2dDvGDDz7Qli1bZLFYdPny5XzbmEwmHThwoNgKBAAAAMoah0O6xWJRVFSUzp49q7vuukvZ2dmqUaOG3N3ddeLECeXk5KhRo0aF3owIAAAAwPU5PNzl/fff15kzZ7RgwQKtXr1aktS3b199//332rBhg+69915lZWXZnUcdAAAAgOMcDulbtmxRu3bt1LZt23zr/P39NWfOHF26dElz584t1gIBAACAssbhkH769Gnddddd1seurq66dOmS9bGHh4fatm2r2NjY4q0QAAAAKGMcDumenp42F4pWrFhRFovFZhsvLy+lpqYWX3UAAABAGeRwSK9Ro4aSk5Otjxs2bKht27bp77//liRduXJFW7Zskb+/f/FXCQAAAJQhDof00NBQbd++3dqbHhERoZSUFN1///168803NWjQIB06dEg9evQosWIBAACAssDhKRijoqJUsWJFnTt3Tr6+vurTp49+/fVXffbZZ0pMTJQkhYeHa9SoUSVWLAAAAFAWOBzS69Spo0cffdRm2aRJk/T444/r+PHjqlmzpnx8fIq9QAAAAKCsKdIdR+2pUqWKqlSpYn38+++/y2w23+xuAQAAgDLL4THp13Ps2DGNHTtWkZGRxbVLAAAAoExyqCc9ISFB+/fvl5ubm1q0aKHGjRtb150+fVpz587VihUrlJOTI19f3xIrFgAAACgLCg3pOTk5Gj16tH788Ueb5SNGjNC4ceO0atUqTZs2TZmZmfLx8dHIkSM1aNCgkqwXAAAA+McrNKQvWbJEP/zwg8qXL6+QkBAZhqEdO3bo448/Vvny5fXee+/Jw8NDY8eO1eDBg3X77bffqroBAACAf6xCQ/q3334rDw8PRUdHq1atWpKkv/76S/369dN7772nhg0bav78+apWrdotKRYAAAAoCwq9cPTPP/9U165drQFdkgICAtS1a1dJ0rRp0wjoAAAAQDErNKRfvHhR1atXz7e8Ro0akqSGDRuWTFUAAABAGVZoSDcMQy4u+TdxdXWVJLm7u5dMVQAAAEAZdt0pGNPT03Xq1CmbZRcuXJAkJSUlyTCMfG3yetoBAAAAFN11Q/rixYu1ePFiu+s6deqUb5nJZNKBAwduvjIAAACgjCo0pNMjDgAAANx6hYb0jRs33qo6AAAAAPxboReOAgAAALj1COkAAACAkyGkAwAAAE6GkA4AAAA4GUI6AAAA4GQI6QAAAICTIaQDAAAATsbhkD5x4kR98sknJVgKAAAAAKkIIX3NmjU6e/ZsSdYCAAAAQEUI6TVr1iSkAwAAALeAwyH9f/7nfxQXF6fz58+XZD0AAABAmedwSH/ssccUGBioIUOG6IcfftCZM2dKsi4AAACgzHJzdMOmTZtKkgzD0BNPPFHgdiaTSQcOHLj5ygAAAIAyyuGQ3rJly5KsAwAAAMC/ORzSP/3005KsAwAAAMC/cTMjAAAAwMncUEjPzMzUgQMHlJCQUNz1AAAAAGVekUJ6cnKyRo8erZCQEPXr1+//s3fngTXd+f/HnzcriSwksiAIIrbEHqKEhiC2WsbUlLZaXQbTRfFVpmNQbbVa1bGUVKn2W6ooUbGExL7FUnustcSWEEQWsp7fH/3lTlTbr5mKe3u9Hv80+eSc2/e5zr3ndT7ncz6HZ555xvy3PXv20KVLF3bt2nXfrzd69GjCw8Pp1q2buW3atGm0adOGJ554gieeeIJNmzaZ/zZ79myioqLo1KkTW7ZsMbcfPnyY7t27ExUVxcSJEzEMA4C8vDxef/11oqKi6Nu3IJpODQAAIABJREFULxcuXPhPNldERERExCLuO6SnpaXRt29fEhISaNeuHY0aNTKHYYCGDRuSnp7OqlWr7vt/3rt3b+bMmXNP+8CBA4mNjSU2Npa2bdsCcOrUKeLi4oiLi2POnDmMHz+ewsJCAMaNG8eECROIj4/n7NmzbN68GYDFixfj7u7OunXrGDhwIB9++OF91yYiIiIiYin3HdKnT5/O9evXmTdvHtOnT+exxx676++Ojo40a9aMffv23ff/vHnz5nh4eNzXsgkJCXTt2hUnJycCAgKoVq0aBw8eJC0tjaysLBo3bozJZKJnz54kJCQAkJiYSK9evQDo1KkTO3bsuOvEQkRERETEGt13SN+8eTORkZG0aNHiV5fx9/cnLS3tdxf19ddf0717d0aPHm1+wmlqaip+fn7mZXx9fUlNTb2n3c/Pj9TUVPM6/v7+ADg4OODm5saNGzd+d30iIiIiIqXpvkP6tWvXqFat2m8u4+joyO3bt39XQX/5y19Yt24dsbGx+Pj4MGnSJIBf7AE3mUy/2v5b64iIiIiIWLP7Dumenp5cvnz5N5c5c+YM3t7ev6sgb29v7O3tsbOzo2/fvhw6dAj4qYf8ypUr5uVSU1Px8fG5p/3KlSv4+PiY1ymuuaCggMzMTDw9PX9XfSIiIiIipe2+Q3qTJk1ITEzk6tWrv/j3s2fPsnXr1t8cDnM/Sg6XWb9+PUFBQQBERkYSFxdHXl4eKSkpnD17ltDQUHx8fHB1dWX//v0YhsHy5ctp3769eZ1ly5YBsHbtWlq2bKmedBERERGxevf9xNFBgwaRkJDAgAEDGDNmjHlYS05ODrt37+a9997DZDLx/PPP3/f//I033iApKYkbN24QERHBK6+8QlJSEseOHQOgcuXKTJgwAYCgoCCio6Pp0qUL9vb2jB07Fnt7e+Cn2V1Gjx7NnTt3iIiIICIiAoA//elPjBw5kqioKDw8PPj444/vuzYREREREUu575DesGFDJkyYwD//+U/++te/mtubNm0KgL29Pe+++6655/t+TJky5Z62vn37/urygwcPZvDgwfe0h4SEsHLlynvanZ2d+de//nXf9YiIiIiIWIP7DukAffr0oWnTpixYsIADBw5w8+ZNypUrR6NGjejfvz81atQorTpFRERERB4Z/1FIB6hevTpjxowpjVpERERERIT/4MZRERERERF5OO47pB89epSvv/6azMxMc1tOTg6jRo2iWbNmtG7dmvnz55dKkSIiIiIij5L7DumfffYZs2bNws3Nzdw2ZcoUYmNjKSoq4ubNm0yaNImtW7eWSqEiIiIiIo+K+w7phw8fJiwszPx7fn4+y5YtIzQ0lB07dpCQkED58uX56quvSqVQEREREZFHxX2H9PT0dPz9/c2/Hz58mOzsbJ588kmcnZ3x9fWlffv2HD9+vFQKFRERERF5VNx3SDeZTBQWFpp/37t3LyaT6a7e9QoVKnD9+vUHW6GIiIiIyCPmvkN6pUqV2L9/v/n3hIQE/Pz8CAgIMLelpaXh7u7+YCsUEREREXnE3Pc86Z07d2batGm8+uqrODk5sX//fp599tm7ljlx4gRVq1Z94EWKiIiIiDxK7jukDxw4kC1bthAfHw9A3bp1GTp0qPnvp06d4siRI7z88ssPvkoRERERkUfIfYd0V1dXvvnmG06cOAFArVq1sLP792iZMmXKMH36dEJCQh58lSIiIiIij5D7DunFateu/YvtVapUoUqVKr+7IBERERGRR9193zgqIiIiIiIPx2/2pLdv3/43V7azs8PNzY06derQu3dvmjVr9kCLExERERF5FP1mSL948eJ9vcjRo0dZtmwZL730EsOGDXsghYmIiIiIPKp+M6QnJCT85spFRUXcuHGDH374gc8//5yYmBiaNWtGmzZtHmiRIiIiIiKPkt8M6ZUrV/4/XyAgIIDQ0FA6depE165dWbhwoUK6iIiIiMjv8MBuHPXz86N9+/YcPHjwQb2kiIiIiMgj6YHO7lKpUiVu3rz5IF9SREREROSR80BDelZWFmXKlHmQLykiIiIi8sh5oCF9+/btBAYGPsiXFBERERF55DyQkJ6RkcHf//53zpw5Q1RU1IN4SRERERGRR9Zvzu7yzDPP/ObKhmFw8+ZNzpw5Q0FBAUFBQTz99NMPtEARERERkUfNb4b0pKSk+3oRJycnevXqxahRoyhbtuwDKUxERERE5FH1myH9yy+//M2V7ezsKFeuHDVq1MDJyemBFiYiIiIi8qj6zZAeFhb2sOoQEREREZH/74HO7iIiIiIiIr+fQrqIiIiIiJVRSBcRERERsTIK6SIiIiIiVkYhXURERETEyiiki4iIiIhYGYV0EREREREro5AuIiIiImJlFNJFRERERKyMQrqIiIiIiJVRSBcRERERsTIK6SIiIiIiVkYhXURERETEyiiki4iIiIhYGYV0EREREREro5AuIiIiImJlFNJFRERERKyMRUP66NGjCQ8Pp1u3bua2mzdv8txzz9GxY0eee+45MjIyzH+bPXs2UVFRdOrUiS1btpjbDx8+TPfu3YmKimLixIkYhgFAXl4er7/+OlFRUfTt25cLFy48vI0TEREREfkvWTSk9+7dmzlz5tzVFhMTQ3h4OPHx8YSHhxMTEwPAqVOniIuLIy4ujjlz5jB+/HgKCwsBGDduHBMmTCA+Pp6zZ8+yefNmABYvXoy7uzvr1q1j4MCBfPjhhw93A0VERERE/gsWDenNmzfHw8PjrraEhAR69uwJQM+ePVm/fr25vWvXrjg5OREQEEC1atU4ePAgaWlpZGVl0bhxY0wmEz179iQhIQGAxMREevXqBUCnTp3YsWOHuZddRERERMRaWd2Y9PT0dHx8fADw8fHh+vXrAKSmpuLn52deztfXl9TU1Hva/fz8SE1NNa/j7+8PgIODA25ubty4ceNhbYqIiIiIyH/F6kL6r/mlHnCTyfSr7b+1joiIiIiINbO6kO7l5UVaWhoAaWlpVKhQAfiph/zKlSvm5VJTU/Hx8bmn/cqVK+aeeD8/Py5fvgxAQUEBmZmZeHp6PqxNERERERH5r1hdSI+MjGT58uUALF++nPbt25vb4+LiyMvLIyUlhbNnzxIaGoqPjw+urq7s378fwzDuWWfZsmUArF27lpYtW6onXURERESsnoMl/+dvvPEGSUlJ3Lhxg4iICF555RVeeuklXn/9dZYsWYK/vz+ffPIJAEFBQURHR9OlSxfs7e0ZO3Ys9vb2wE+zu4wePZo7d+4QERFBREQEAH/6058YOXIkUVFReHh48PHHH1tsW0VERERE7pdFQ/qUKVN+sX3+/Pm/2D548GAGDx58T3tISAgrV668p93Z2Zl//etfv69IEREREZGHzOqGu4iIiIiIPOoU0kVERERErIxCuoiIiIiIlVFIFxERERGxMgrpIiIiIiJWRiFdRERERMTKKKSLiIiIiFgZhXQRERERESujkC4iIiIiYmUU0kVERERErIxCuoiIiIiIlVFIFxERERGxMgrpIiIiIiJWRiFdRERERMTKKKSLiIiIiFgZhXQRERERESujkC4iIiIiYmUU0kVERERErIxCuoiIiIiIlVFIFxERERGxMgrpIiIiIiJWRiFdRERERMTKKKSLiIiIiFgZhXQRERERESujkC4iIiIiYmUU0kVERERErIxCuoiIiIiIlVFIFxERERGxMgrpIiIiIiJWRiFdRERERMTKKKSLiIiIiFgZhXQRERERESujkC4iIiIiYmUU0kVERERErIxCuoiIiIiIlVFIFxERERGxMgrpIiIiIiJWRiFdRERERMTKKKSLiIiIiFgZhXQRERERESujkC4iIiIiYmUU0kVERERErIxCuoiIiIiIlXGwdAG/JjIyEldXV+zs7LC3t+e7777j5s2bDBs2jIsXL1K5cmWmTp2Kh4cHALNnz2bJkiXY2dnx1ltv0aZNGwAOHz7M6NGjuXPnDm3btuXvf/87JpPJkpsmIiIiIvKbrLonff78+cTGxvLdd98BEBMTQ3h4OPHx8YSHhxMTEwPAqVOniIuLIy4ujjlz5jB+/HgKCwsBGDduHBMmTCA+Pp6zZ8+yefNmi22PiIiIiMj9sOqQ/nMJCQn07NkTgJ49e7J+/Xpze9euXXFyciIgIIBq1apx8OBB0tLSyMrKonHjxphMJnr27ElCQoIlN0FERERE5P9k1SF90KBB9O7dm0WLFgGQnp6Oj48PAD4+Ply/fh2A1NRU/Pz8zOv5+vqSmpp6T7ufnx+pqakPcQtERERERP5zVjsmfeHChfj6+pKens5zzz1HjRo1fnVZwzDuaTOZTL/aLiIiIiJizay2J93X1xcALy8voqKiOHjwIF5eXqSlpQGQlpZGhQoVgJ96yK9cuWJeNzU1FR8fn3var1y5Yu6JFxERERGxVlYZ0nNycsjKyjL/vG3bNoKCgoiMjGT58uUALF++nPbt2wM/zQQTFxdHXl4eKSkpnD17ltDQUHx8fHB1dWX//v0YhnHXOiIiIiIi1soqh7ukp6czdOhQAAoLC+nWrRsRERGEhITw+uuvs2TJEvz9/fnkk08ACAoKIjo6mi5dumBvb8/YsWOxt7cHfprdpXgKxoiICCIiIiy2XSIiIiIi98MqQ3pAQAArVqy4p718+fLMnz//F9cZPHgwgwcPvqc9JCSElStXPvAaRURERERKi1UOdxEREREReZQppIuIiIiIWBmFdBERERERK6OQLiIiIiJiZRTSRURERESsjEK6iIiIiIiVUUgXEREREbEyCukiIiIiIlZGIV1ERERExMoopIuIiIiIWBmFdBERERERK6OQLiIiIiJiZRTSRURERESsjEK6iIiIiIiVUUgXEREREbEyCukiIiIiIlZGIV1ERERExMoopIuIiIiIWBmFdBERERERK6OQLiIiIiJiZRTSRURERESsjEK6iIiIiIiVUUgXEREREbEyCukiIiIiIlZGIV1ERERExMoopIuIiIiIWBmFdBERERERK6OQLiIiIiJiZRTSRURERESsjEK6iIiIiIiVUUgXEREREbEyCukiIiIiIlZGIV1ERERExMoopIuIiIiIWBmFdBERERERK6OQLiIiIiJiZRTSRURERESsjEK6iIiIiIiVUUgXEREREbEyCukiIiIiIlZGIV1ERERExMoopIuIiIiIWBmFdBERERERK6OQLiIiIiJiZR6JkL5582Y6depEVFQUMTExli5HREREROQ32XxILywsZMKECcyZM4e4uDhWrlzJqVOnLF2WiIiIiMivsvmQfvDgQapVq0ZAQABOTk507dqVhIQES5clIiIiIvKrTIZhGJYuojStWbOGLVu28M477wCwfPlyDh48yNixY391neDg4IdVnoiIiIg84o4fP35Pm4MF6niofukcxGQy/eY6v/RGiYiIiIg8LDY/3MXPz48rV66Yf09NTcXHx8eCFYmIiIiI/DabD+khISGcPXuWlJQU8vLyiIuLIzIy0tJliYiIiIj8Kpsf7uLg4MDYsWN54YUXKCwspE+fPgQFBVm6LBERERGRX2XzN46KiIiIiPzR2PxwFxERERGRPxqFdBERERERK6OQLiJi5fbs2WPpEkSsnkbviq1RSLeQkl8mj/oXi94LkV+3e/dupk6dSmxsrKVLsbhZs2Zx+fJlS5chViY3N5fr169jMpnIzs6msLDQ0iVZzKJFi3j99dctXYZVKN4PioqKLFzJf08h3QIKCwvveqDS//VwJVtlGAaGYWAymUhPT+f27dvcvn3b0mVZzKN8YPk5vRf/1rBhQ6Kjo4mPj3/ke9RPnTrFyy+/bOkyrIY6NSAvL4/du3ezevVq1q9fz9ixYzl9+rSly7KIgoIC6tevz82bN5k9e7aly7Goy5cv89prr5GZmYmdnd0fNqjbjxs3bpyli3iUFBUVYW9vT0ZGBlOmTOHHH3/kxo0bVK9e/ZEL6yaTCZPJxPr165k4cSJnzpwhISGBBg0aUK5cOUuX99DZ2dlx7tw5vvrqK9LS0qhdu/Yjt0/k5eVhb2+PnZ0dt27dYteuXRQWFlK+fHlLl/bQFZ/AXr58mcTERM6fP8+JEyeoV68enp6eli7PItq1a8fWrVtZtWoVXbt2tXQ5FlFUVGT+XsjNzcXBweZnUv5N9vb23Lhxg1mzZrFq1SoGDBhAeHi4+fPzqCgsLMTBwQEHBwcyMzNZtmwZPj4+1KxZ09KlWcStW7fYvn0727Zto2PHjphMpj/kPqGe9IfMzs6O06dP88ILL1CzZk1+/PFHpk+fzpEjRyxdmkXEx8czd+5cpk2bhouLC4cOHSIzM9PSZVnE0aNHefnll8nKyuL9998nJiaGq1evWrqsh8IwDC5evMgzzzxDSkoK586do3fv3ixYsIDevXuzY8cOS5f40JlMJg4dOsSLL75IixYt6N69O66urnz66afcunXL0uU9FMVX2+CnEOLk5MS7777L+fPnGT16tIWrsww7u58O26tWrWL48OFMmjSJJUuWWLiqh6/k1baAgAAqVapEvXr1KCgoAB69K9T29vYcPHiQ5557jtzcXCpWrMinn35KUlKSpUuziMqVK/Pqq6+SmZnJ5MmTgT/mPqGe9Ieg+Oyt+L9ffPEFXbt2JTIykpiYGPr27UtkZCRZWVk4OTlZutyHateuXTz++OOcO3eO2NhY3n33XYKDgzl//jweHh6WLq9UpaWl4erqCsCGDRtYt24dvXv35rnnniM0NJSlS5fi5OREtWrVbH6/MJlMuLu7s2XLFtasWUN2djbR0dEMGzYMR0dHPvvsM5o0aYK3t7elSy1VP+/p2bBhA4Zh8Ne//pXQ0FAqVqzIpk2buHjxIi1btrRgpaWv+L0wmUxs2rSJvXv3UrVqVTw8PGjSpAn5+fk0bNjwD9k79nt98cUXLFy4kAEDBuDo6MjUqVPx8fEhODj4kXg/CgsLsbe3B2D69Ok4ODjw3HPPUVRUxM6dO7l9+zbBwcHk5ORw/fr1R+LKbF5eHp988gldunRh4MCBhIeH4+DgwNdff03r1q0fifegsLDQfBIL4O7uTuXKlZk7dy5OTk7Ur1/fgtX9d9STXspOnjxp/sI8efIkAE5OTuzatYtnn32WQYMG0a9fP3Jycti+fTu5ubmWLLdU/XycsWEYZGRk8PHHHxMbG8vnn39O3bp1OXjwIEuXLuXGjRsWqrT0rVq1ioULF5p/P3DgAAkJCVy7do38/HyaNWvGn//8Z1asWMHGjRvJz8+3YLWlq+R+8cknn+Ds7ExsbCw+Pj4ADBo0iBYtWjBx4kQuXrxoqTJL3c/vVQFwc3MjNzfXfLNko0aNcHZ2ZvPmzaxZs8YSZT40xe/F/Pnz+fDDD6lSpYo5aNSpU4enn34agDNnzlisRks5fvw477zzDh07duSpp57i7bffZvbs2aSlpdl8QAfMQ0YHDRpEWloaDRs2xMnJiQ4dOlCzZk22bt3KzJkzeeWVV2x2//j58dTJyYnc3FxSU1MB8Pf3JyQkhNTUVF577TWbPobAv4cSFxQUkJqaSmZmJg4ODtSrV49//vOfdOrUybzsH+leDvWkl7KZM2eyfv16du7cycqVK+nRowd79+5l7ty5xMTEEB4eTkFBAS+88AKGYdC2bVtLl1wqDMPAzs6OlJQUZs+ejWEYeHl54ebmxooVKxg8eDA1a9YkKSmJ8ePH065dO5o0aWLpsh+44qslQUFBtGzZkvnz5xMcHEybNm1ISUnhwoULBAYG4uXlRe3atbl48SLOzs6EhoZauvRSUbJHbMmSJVSpUoVOnToRFxeHg4MDTZo0wd7enoiICBYvXoyDgwMNGza0cNUPXvEBJi8vj0mTJnHx4kXS0tIICwtj5cqVODo64uHhgZOTE4mJibz88ss8/vjjli67VJTsDTt27BhffPEFn376KcHBwRw+fJjjx49Trlw5XFxc2LRpE3FxcURERFi46tKRl5fHvn37yM/Px8XFhcWLFxMUFMTKlSu5fPkyrVu3BsDV1ZWjR48SGRlJ2bJlLVx16Th27BhJSUkEBQUB8OGHH1KxYkX+8Y9/kJ6eztatW7l9+zZdunQhMzOTLVu20KdPH5v8nJT83jxx4gS3b9/G3d2d9PR0rl69iru7O76+vjg7O3Pt2jXCwsJo3LixhasuXSaTiZSUFAYNGsT58+f56KOP6NChA+XLl6dKlSo4Ozuzb98+cnNz/1D3OJmMP9IpxR9Qamoqbdu2pUGDBneNGxw4cCBOTk74+flx9OhR2rZtyyuvvGLBSkvfwYMHGTduHIGBgdy8eZN69erxyiuvsGLFChITE7lz5w7Z2dkMGzbMZi/lv/baazz11FO0aNECwzBo3749bdq0Yfz48eTk5PA///M/BAQE0K9fP6pVq2bpch+KnJwchg8fjouLC2+99Rbly5fn2LFjDB06lKFDh/LEE09gb29/14HJlhQVFWFnZ8fly5d54403aN26NZ6enrz99tskJSWxbds2NmzYwMWLF8nIyKB///785S9/sXTZD1xBQQGHDh2icePG5Ofnc+DAAfLz85k5cyb169cnLy+PU6dOYWdnR1hYGEOGDLF0yaUuKyuL1atXk5CQwLlz53j++efp27cvq1evZseOHTRq1IjevXuzatUq/vd//5dPPvkEb29vm+tNz8/PZ+vWrdStW5cyZcrg6enJzJkzOXPmDHfu3MHLy4srV66QnJzM559/Tq1atcjLy7PpYYIZGRmMGjWKgoIC0tPT6dChA/369WPatGmcPn2aRo0asXHjRp555hn69u1r6XJLRcmhXSdOnGDkyJG8/vrrBAcH07FjR2rVqsXcuXOpUKECubm5LF26lMaNG1O3bl0LV/4fMOSBKioquuv3Y8eOGZMnTzbq1KljbNq0ydxeUFBgrF+/3li+fLmxefPmh13mQ/Hjjz+af96zZ48xZMgQY/v27YZhGMaGDRuMt956y5g1a5aRn59v5OXlGRcuXDBu3rxpqXJLVfF+UVBQYKSkpBgxMTGGYRjGpUuXjOjoaGPWrFmGYRjG+fPnjV69ehlz5swxcnNz71nfFk2YMMF4//33zb8XFhYahmEY69evN5o3b25s2bLFMIy730NbcOjQIfO/cWFhofH5558b69atM3Jycoxnn33WmDZtmnnZ27dvG8eOHTNOnTplqXJLXV5enjFy5EhjzJgxRp8+fYxPP/3UMAzDmDVrlvGvf/3LOHLkiFFUVGTMnj3b/HkpZmufj5Lbk5CQYDRo0MB4+eWXjZycHMMwDOPixYvGokWLjKioKGPo0KFG165djeTkZEuV+9CcOnXKePbZZ43k5GTj/Pnzxrx584xly5YZGRkZRm5urjF8+PC7jju2Ki8vzxg6dKgxc+ZMo6ioyDhx4oTRqFEjIzY21igsLDQSExONGTNmGAkJCZYutdQUHycMwzDOnTtnbNy40Th69KiRnJxs9OjRw9i6davxzDPPGC+88IJx586de9b5o1BIf4BK7gAHDhww9u7da5w/f94wDMOIi4sz6tevb/4C2bFjh0VqfFjWrl1rLFq0yDCMnw44c+bMMdq3b2/Mnj3bvMzKlSuNkSNHmg/GturnXwwHDx40goODjZUrVxqGYRi7du0y2rdvb3z//feGYfy071y5cuWh12kJd+7cMV566SVjz549hmEYRmZmpmEYP4VSwzCMr7/+2ibDx8WLF41PP/3UvL2GYRgzZsww/va3vxm9e/c2li5dahiGYWRnZxtLly61mROTX1McSosD6RtvvHHP3wzDMJYtW2b07NnT2Ldv30Ov0RJ27txpHD9+3Ni4caPxzjvvGFOnTjWuXbtm/nt6erqRnJxsZGVlWbDK0vPz/f7MmTPGBx98YLzxxhvGpUuXzO0ZGRnG0KFDjREjRjzsEh+Kn5+EZmRkGP379zeuXr1qbktISDA6d+5ssx1dJZV8P2JiYowJEyYYmZmZRm5urvHmm28aK1asMAzDMBYsWGAEBwcb3377raVK/d00Jv0BKr7ssmDBAj766COuX7/OlClT8PHxoWvXrty5c4fJkydz5MgRYmNj6d69O46OjjZ1aTI3N5fc3Fxq1apFaGgoK1aswN7enjZt2pCbm0tKSgqurq5UqVKFGjVqcPHiRfz9/aldu7alSy8VJYdoZGRkkJubS9WqValRowYjR46kbdu2NG7cGBcXF8aPH09kZCT16tWjXLlyd82HbGsWLVqEl5cXnp6e7N69mwMHDhAVFWW+PD1z5kzKlStH+/bt8fb2trkZK1xdXWnWrBk7duxg7dq1NGvWjLS0NNavX8+AAQPo06cPBQUFDBs2jNzcXCIiImxq+4sVjz8v3rY7d+5QrVo11q9fT0BAAJUrV8be3p6ioiKmTZtGfHw8H330kc3OYlJym5KTk5k3bx7Z2dnm/eGHH37g1q1bVKlShc8++4xatWpRo0YNmxzWYfz/+5iys7P55ptvcHZ2pmrVqgQGBnLkyBF27dpFeHg4165dY9y4cdSuXZt//OMfli77gSt5j0bxz87OzmzYsIHjx4+b78cwmUycO3eOLl263DXDiS0q/oxMmTKF7Oxs3njjDVxcXMjOzubzzz+nbdu2uLi4sHr1av7617/SvXt3C1f831NIfwBKTp14+PBhPv30U2bOnEnv3r1xc3Nj7dq1BAcH061bN1xdXfHy8uLdd9/F2dnZZg4yhmGQn5/PqFGjOHv2LHXr1uXWrVt8+umnZGRkULduXYKDg0lOTubkyZN4e3vj5+dH/fr1/1jjw/5DxV+Ww4YNY926dcyePZtq1arRoUMHAN5++22efPJJGjduTK1atWjevLl5XVvZN4B7Tjg+++wzpk+fzsCBA6lUqRK7du1i1apVVK1alfHjx3Pz5k2effZZ8/K29l7Y2dmRn5/Pzp072bVrF25ubrRs2ZKc/yHmAAAgAElEQVSzZ8+SlJTEyZMnmTFjBsHBwYwZM8amtr9YyRPY5cuXk5qaSnBwMGFhYRQVFRETE0ObNm1wcXEhMTGRFi1aMHDgQMqXL29+D21JcUAvKCjAzs6OihUrkpuby+HDh8nIyDDfEJmUlMSHH35I06ZNbfKmSKPE1JsXL140z9By+PBhjh07RufOnalYsSIHDhzghx9+IDo6mpCQEDp27Gjp0h+44hMVgAkTJpCQkMDy5ctp2LAhlSpVYt++fezcuZO6desyceJEvL29bXKf+CUpKSnMmzePc+fOMWDAAACcnZ25efMmX331Fd9++y2tW7emT58+Fq7091FI/53Gjx/P999/T2RkJA4ODpw/f54zZ87w5JNPUlBQQEhICPHx8Rw9epT27dtTv359GjZsaHMHXZPJhL29PS4uLqxcuZIyZcrQvHlzAgIC2Lx5Mzdu3KB58+ZUrlyZ7du3k5qaStOmTW3uSkJJRUVF5OfnM2zYMMqXL88HH3zA7du3WbduHeXLl6dPnz4cPHiQefPm8Ze//IUaNWqY17O198RkMt21XdHR0SQmJrJ69Wqef/55GjRowLZt2zh//jyVKlVi/PjxgO28F5cvX2bfvn3mJwsbhoGDgwOVK1fmzp07rF69mtDQUHr06IG3tzfOzs6EhYUxcOBAS5deauzs7DAMgxEjRnD27FlSUlKYPn060dHRhIeHc/r0aZYvX87cuXMxDIPevXvb5A3EJUPp9evX+eyzzygqKiIgIIDAwEDS09PZtWsXnp6eREVF0bx5c9q0aUOXLl0sXfoDV/JKQk5ODocOHSI4OJg333yTsmXLsm/fPs6dO0d0dDR2dnYcOXKEJk2a4OfnZ+HKS4fJZDIfQwzDYMiQIWzcuJETJ04QEhJCixYt+P7779m/fz+BgYG8+eabli65VJQ8DhR3inp4eFCvXj3Wr19Pdna2eTa4Zs2a0bp1a3r06GETs+UppP9OoaGhfPnll2RkZBAWFgbA+++/T7169QgMDAR+2qnc3d1p1KiRJUstNSU/QNWqVaOgoIDY2Fi8vLxo2bIlJpOJbdu2kZeXx2OPPYavry8RERG4ubnZRAD7NcUnLuvWreP111+nXLlyNG3alOTkZOLi4ujduzddunRh4cKFXL16lRYtWpjXsyVFRUUUFhbSs2dPTCYTISEhAPTu3ZvJkydz7do1oqOj6dy5M23btjXP7GMrYSw/P58VK1awePFiqlevjr+/vzmMuLi4UL58ea5du0ZCQgJ169alUaNG1KtXj1q1alm69FKVl5fH+++/T+XKlfn73//O2rVrOXbsGFu3bqVv3760bdsWX19f2rVrZ+4pA2yqB73kFYHdu3ezadMmrl69yvnz56lcuTIVK1akUqVKLFy4kEOHDlG5cmVq1qyJr6+vhSt/8EoO64iJieG9995j9+7d+Pr60rRpUypWrIiDgwNbtmwhIyODHj16mI8jtuzWrVts3LiRt99+G29vbzp27MiyZcu4desW3bt3p3v37kRGRpqn47RFxcfEFStW8NFHH7FlyxZSUlLo3Lkzfn5+LFq0CFdXV/P0nO7u7jbzMESF9P/CgQMHzDtAuXLlqF+/PlOnTqVs2bK0bNkSX19fRo0ahZubG1u2bGHx4sX079/fJs/2Swapc+fO4enpSf369bly5Qrx8fFUr16dxx57jPT0dOLj4wkICDCPwbZle/bsYdmyZTRu3JgpU6YQEBBAcHAwAPXr12fr1q20bdsWJycnLl++TG5uLuHh4TYTQEqeuJlMJuzs7HB3d2fcuHG0atXK/FkoU6YMU6dOxd/fn3r16pnXL3mZ94/O3t6e8uXLk5OTQ2JiIg0aNMDT09P8MBJPT0+8vLzMQ8FatWoF2N7J2s/HkBcWFlKxYkXatm3L4MGDCQ4O5rPPPuPjjz/m6NGjdOrUiYCAAKpUqQLYzlWVkoq359ChQ0ybNo0hQ4YQEBDAkSNHSElJMe8rBw4coF69erRv394mx5/Dv0++1qxZw6FDh3jppZdwcnIiPj6eBg0aUKVKFSpUqEB2djY5OTk0bdoUBwcHC1dd+lJSUvj888/p2rUrbm5u5u+TjRs30rFjRxwdHW2iM+PXFJ+8LViwgAULFvDqq69Ss2ZNJk6ciJubGz169MAwDKZOnUqbNm2oUKGCpUt+oBTS/0Px8fEMGjSIpKQkjh49SsWKFQkJCaFu3bpMmjSJoKAgoqKiqFSpEqmpqVy6dIkJEybY5I2RxQ9gAXj11VdZtmwZ69evJywsjMcff5z9+/eTlJRE7dq1iYiIwMPDg/DwcAtXXfoMw2DPnj38+OOPREZGUqFCBcaMGUNISAguLi58+OGHODs707lzZ/Ly8jh+/Dh9+vSxmTP/kr2DmzZt4ujRoxQWFtKqVStcXV35xz/+wRNPPEG5cuU4cuQIDRo0ICoqCnd3d/Nr2FoY8/DwwN3dnfPnz7N9+3ZatGhBmTJlzNu5bt06mjVrRp8+fbC3t7e57S+5TyQlJZGZmUlBQQG1atXixIkTnDlzhjFjxgBw6tQpfvzxRzp37oyzs7P5NWztPSn28ccfM2fOHF566SVCQkLw9fWlsLCQAwcOEBsby7Jly/Dy8mL48OE2G9CLff3114wZM4bhw4fTsmVLatSoQU5ODt9++y2tWrWiYsWK1KhRw3wia0suXbpkvirw/fffs2XLFnx9fQkMDOTcuXPMmjWLJ554AicnJ+bNm0eFChVsYjjHLyksLGTIkCHUrVsXLy8vCgsLWbNmDf379yc8PJzq1avTtGlTxo4dS7du3WjQoAHBwcE2+cAmhfT/kJeXFzt27MDFxYVq1arxzTffsGrVKsLCwszjjUNDQwkPDycsLIz27dvfFT5siclkIicnh5iYGJydnZk8eTKrVq3i6NGjhISE0KFDB5YtW8bx48d57LHHbPLyfX5+Pt999x3169cH/h1GMjMzmTt3Lp07dzZfOViyZAmJiYl4e3szceJETCaT+amatrSPFIepjz/+mG+//ZacnBwWLFhAXl4ezz77LBcuXGD+/PksWbKEmzdv8o9//AMPD4+7LnfbIm9vb1xcXDh69CiHDh2idevW3Lx5kz/96U+4urry1FNP2WyPWMnZGGJjY0lPT+ebb74x32A+ZcoUmjZtykcffURQUBBvv/22zV5t+/kVAR8fH2JiYvDz8zN3YtSoUYPAwEDs7e2pXr06r776qqXKLTXG/3+OYsn3Ijg4mF27dnH06FF69OiBi4uL+crCqlWr6N69+10nbrZi8eLFzJ8/n3r16jF//nxiY2PJyclh0aJF1K5dm379+rFjxw6WLl3KsmXLcHR0ZPz48TZ74mpnZ8euXbuYMWMG/fr1w9HRkWXLlnHkyBE6deoEQKVKlUhOTqZly5Z4e3tTvXp1yxZdShTS/wMFBQW4uLjQsGFDFi5cyJ///Gf69++Pm5sbS5cuJTMzk+3bt7Nnzx66d+9u870eWVlZjBgxgtOnT/Piiy+aDzIrVqzg0qVLNGvWjPDwcKpWrWq+ZG0rii/dz58/n0OHDhEVFcWUKVM4e/YsNWrUoHr16pw5c4asrCwaNGhAo0aN6NSpE+3atTPf8FU8i4MtyM3N5fLly+arAbt37+a7775j4cKFREVF4eHhwe7du6lUqRJPPvmkeYrOwYMHm2+ktJX34rf4+fnh6OjIoUOHSExMZPr06XTr1o3hw4dburRS9/XXX3P27FlmzJhBQkICWVlZ9OnTh1q1amEYBtu2baNs2bKMHDnSPO2iLYWQ4lBqZ2dHamoqt27dIjs7m6pVq1K7dm0mTpxIeHg4lSpVAqBChQqEhobSsGFDS5ZdKkreLLt9+3YSExM5duwYjRo1onXr1nz55ZdcvXqV8PBw3NzcCAoKIjw83OaGMhSrXbs2a9eu5ezZs2RnZzNr1iy6dOnC6dOn2bZtG/Xq1eOpp54iPDycRo0a8fTTT9vUZ6OYYRjmjq42bdqwaNEitm7dSo8ePahatSpJSUmcP3+eZs2asWrVKhITE83DgGyVQvp/wM7OjqKiIipWrIi3tzcffvghjRo1okOHDrRt25aGDRvi6OjIY489RrNmzSxd7gO3dOlS1q9fT1xcHN7e3gQEBODp6cnmzZupUqUKVapUwdPTk6CgIGJiYihTpgwtWrSwybH4xQeZ77//Hj8/P8LCwjh06BCnTp1i/vz5VKxYkePHj+Pu7m6+BOfk5ISrqytw91AhWzBhwgR27dpFcHAwHh4eXLhwgTNnztCxY0cMwyA4OJjvvvuO9PR0WrVqhb+/v7nnwxZ70LOysigoKMDR0dEcNotPRHx9fcnJyWH16tUMGTLkrpsibUVqairJycmULVuWsmXLAnDy5EkCAgJYtGgR165dY9q0abi6unLkyBG6du1Ku3btiIqKAmznpuGSikPpli1bGDlyJLdu3WL69Om0b9+ekJAQ7O3teeedd+jRowflypWzyXngi5V8psicOXPo0aMHI0eOJDc3l6ioKBo2bMhHH32Ek5MToaGheHp62lxAL/nvm5eXR1ZWFnv27CE1NZXmzZvj6elJeHg4iYmJ7Nmzh+DgYKpUqWKTNw0XK75/6bvvvmPWrFmEhYWxevVqLl26xJ///GdcXV2ZMWMGe/fuJSEhgUmTJpkn6LBVCun/oeIPVe3atcnOzuaLL74gLCwMX19fKlSoYD7TtTXjx48nISGB8PBwLly4wIoVK7hw4QI9e/bE3t6eNWvWEBAQgI+PD76+vtSpU4dWrVrh6Oho6dIfuD179nDq1CmqV6/OihUraNKkCbVr16Zp06ZERkZy69YtLl++zIIFCzh16hTt2rXD09PzrtewtYNvrVq1WLVqFVlZWdSpUwc7OzumT59OaGgoAQEBwE83QHl7exMaGnrXurYQ0EueaCxfvpy3336bxMREypcvT/Xq1e8ak+3o6EjVqlXp2bOnTfaSFofQw4cPk5SURJ06dXB3d2fjxo3MmzePBg0aMHHiROzt7fnmm29Yt24dYWFh5uEttnYC+9VXX3Hz5k2qV6/O+vXrmTFjBp988gnOzs7m7X/mmWdo3ry5eYaXbt262dx3xM9du3aNxYsXM2PGDE6fPs2pU6cYOnQoXl5e+Pr64unpya5du8zDG2xN8b9vSkoKo0aNolu3brRu3ZqtW7fi5eWFv78/Li4uhIaGkpCQQEREhE0Ni/w1165dY/LkyYwePZquXbvSo0cPxo0bR5kyZXjiiSfo3r074eHh9O/fH39/f0uXW+oU0n/Fr11qLTmOrlmzZiQnJ/PVV1/RsWNHypYtaxOB4+fmz5/PkSNH+Oqrr6hXrx4dOnSgTJkyHDhwgKtXr9K/f3+Sk5PZtm0bAQEB+Pn54e/vb5MBPS8vj1mzZnHy5Ek8PDzYtWuX+eEaxRo3bkzz5s2pWrUq165dIzQ0FF9fX5vrGSv+jBQVFeHp6UmlSpX49ttvKSoqMt8o/M4775CRkcHq1avZtm0bgwcPtpkbZEsq/tzv37+fZcuW8de//hUPDw9Gjx5NZGQkFStWvOs7xcnJydzDbEsWLlzIF198wdixYxkyZAjz5s2jadOmVKpUiWrVqrFmzRoaNmzInTt3WLFiBWvWrGHYsGFUrlzZ/Bq29BkB2Lx5M/PmzaNFixZkZWXx7LPPcuDAAWbPns28efPYunUra9euNQeQLl262Nx7APceUy9dusS6des4efIkmzZt4sMPPyQwMJD169ebn8hrqwG92Pbt2xkxYgT9+vXj8ccfx8fHB3t7e5YvX46Pjw8+Pj5UqFCBqKgoypcvb+lyS8XP94vLly/zzTff8MILL+Ds7Iybmxtly5blvffeo2bNmoSGhuLm5maT+eKXKKT/gjNnzpgvrS1atIjz58/j4OBA+fLlzTtTceB6/PHHSUlJISIiwqZ6f0r6/vvvadOmDXXq1CE7OxsnJydq167NhQsX2Llzp/nMNi4ujqCgIKpVq2bpkktF8QNo6tSpw969ezl37hx79+7l8uXLFBYWcu3aNa5cuUJBQQGZmZk0a9aMLVu2UFBQQKNGjWzqwFtyOMLevXtxdHQkKCgIb29vFi5ciLu7O926dSMgIMD8QI5Jkybh5eVlc2ONi3355ZcMGzaMl19+mcjISEJDQ8nPz+f999+nT58+lC1b1uZO1Eo6ePAgf/vb38zTbGZlZTF37lwuXLjAvn37qFmzJp07d2b37t388MMPZGZm8sEHH1ClShWb2ydK3m/SokULjh8/zurVq3nyyScpV64cn332GRMmTCAwMJCUlBSWL19OzZo1qVWrlk129BQP9bp16xY3b96kXLlyVKhQgRUrVnDs2DG++eYb3N3d2bNnDxMnTqR+/fo2eRz5+dA+BwcHFi1axJ07d4iOjgagTp06XLlyhSVLltC8eXO8vLxsNlsUX2HMy8sz/1yhQgX279/PiRMneOyxxwDIyMggMzMTV1dXmjZtauGqHy6F9J/59ttviY2NpWbNmsycOZMtW7Zw8uRJTp48SdmyZc2ho+Tjmx977DGb/RABJCQkkJaWRrt27XBycjJ/0dSsWZOpU6fStGlT/P39iYqKMj810xYVjyt2d3fHx8eHDRs2UFBQgMlk4tatW2zdupXvvvuOFStW4O3tTf369Zk1axaNGjWiQYMGli7/gSo+0AwfPpw9e/awfft29u/fz4ABA7h58ybx8fH4+fnRqlUrQkJCCA8Px9HR0abGGv88WDZs2JD169dz6dIlunXrBkDLli1JSkpi9uzZPPPMMzYVRH/O19eX9PR0kpKSKFOmDOPGjaNr16507dqVlJQUYmNj6dWrF1FRUbRv356OHTtSpkwZm9on4Kex9y+//DIFBQXcuXOHypUrExkZybp169ixYwf169dn8uTJREZGkp6ezp49e3jvvfcIDw+3uf1j8+bNfPfdd4SHh7N7925efPFF9uzZQ2JiItHR0ZQvX57k5GS2b9/OiRMnmD9/PiNHjiQiIsLSpT9wJffzffv2kZGRQWBgIE2bNmXmzJlUrFiROnXqAD89NdPNzc38gDtbZTKZOHHiBH/729/48ccf+f777+nYsSNeXl4kJCSwZs0acnJy+Oyzzxg3bpz5npVHiUL6z+Tk5Jh7fgzDYPr06YSFhXHmzBkOHz6Mn5+feWiDLfZ4lFTc65eWlsaPP/6Ij48P/v7+5u0uLCzk6NGj9OrVizJlytjUgfbXFB9EfXx8cHd358qVK7Ru3ZoXXniBXr168ec//5m+ffvSpEkT0tLSCAwMpHv37hau+sEyDIOCggLGjh1LtWrVGDduHHPmzMHHx4eIiAiaNGnCvn372Lx5M61atTKPNbalGVyKe31OnjxJfHw8KSkpBAUFER0dzXvvvYednZ25x6dbt24EBgbaZM9gseIT93bt2hEfH8+cOXN47bXX6N+/P5UqVcLd3Z2dO3fSoUMHXFxczPuBrY0/B7h69SrTpk3j9u3bJCYmcvjwYfLz8xk8eDAxMTFUqlSJ+vXr8/nnn7N27VqeffZZm5xoAH4aHjh8+HDKli3LsWPH6NevH8888wxTp07lypUrDBgwgKZNm3L16lWcnJwYMmSITd7TBf+e1efFF18kJyeHyZMnU1RURHR0NFWrVuX9998nJCTEPPTLFqcshrtvmN2xYwdjx45lxIgRVKxYkalTp3L9+nWeeuopwsLCOHHiBNevX+e5554zT3P8qFFIBzIzM7Gzs8Pe3h4fHx8Mw+CHH37gwoULdO/eHU9PT1xdXTl9+jT79++ndu3aNnsDx897B00mExUrVmTDhg1cunQJFxcX8xRh48ePJzs7m+7du9vkk99+6RJ8yXsSqlWrRkZGBnv27CEnJ4egoCCcnZ1xdHTEZDLh6upqU1cWSk6bZm9vz48//kjz5s15++23qV27Nm+99RaFhYXcvHmTjh07UrNmzbuCqS30EhYP9zKZTCQmJjJ+/HjCwsJ45513uHr1Kh06dKBly5b8z//8D9WrVzc/ptoWA3pOTo55XKidnZ05qEdGRrJx40Y8PT1p0qQJdnZ2HD58mO3bt9OpUyfKlStnfg1b2Cd+ztvbm1q1anH06FHGjBlDfn4+ixcv5vDhw8BPc2J36dKFl156iX79+pl7T21J8b7g5eVFgwYNGDNmDIGBgQwaNIiyZcvSpUsXxowZg7OzM23btqV58+Y0bdr0nhvsbUl2djYjRoxgwIAB/OUvf2Hp0qU0atSIRo0aUatWLbKzs5k5cyb9+vWzuRPXYiVvoE9PT2fnzp28+OKL5Ofn8/HHHzNq1Chmz56Ng4MDrVu3pk2bNrRp08acOR5Fj3xIz8/PZ8GCBVy4cIHjx48zbdo0Bg4cSJkyZcxz2TZo0ABfX1/y8/O5fv06zZs3t8kHbRQUFNz15VB8U6CbmxsBAQEcPnyYr776ih9++IH//d//xcHBgenTp9tkQC95afLixYvY2dmZwxn8O7DWr1+fw4cPk52dTfPmze96WqStBJBTp05RoUKFu7bn+vXrxMTEsHTpUp5++mlefPFFAD744AMuXbpE48aN8fHxsVTJpeKDDz7g2rVr1KpVi8zMTGbMmMGkSZNwd3dnw4YNPPfcc1SpUgU/Pz88PT1ZtGgRffr0sZn9oKTdu3ezbNky/P39zcGqOKg7OjrSrFkzpkyZgoeHB9u2bWPBggWMHTuWmjVrWrjyh6NWrVokJydz8OBBhgwZQt++fXFwcOD27dvs3buXO3fu0K9fP5u8ebjkd2dycjLNmzfHw8ODuXPn8uSTT+Li4kK5cuUIDQ1l5MiRREdH29z0inBvJ09WVhanTp2iSZMmvPbaa/Tr14+nn36aixcv4uzsTKtWrejSpYvNzvldMqBPnDiRzMxMevTogYODA++++y6jRo0iIiKCw4cP8+WXXxIREYGfn59Nfn/+Rwwxjh8/boSEhBgdO3Y0fvjhB8MwDCM3N9f48ssvjTfffNNYuXKledm8vDxLlVlqioqKjN27dxtffvmlYRiG8dZbbxnJycn3LJebm2scO3bM2Lp1q5GQkPCwy7SISZMmGf369TMGDhxovP3223f9rbCw0DAM29wnih04cMAYMGCAER8fb24rKioyDMMw4uLijGbNmhk7duwwTp8+bbz11lvG888/b2RkZFiq3FITGxtr9OrVyzAMw7hx44Zx48YNY/jw4UZMTIzx5JNPGgcOHDAM46f368KFC5Ys9aHYunWrMXToUOOLL74wrl27ZhjGv/eLgoICwzAMY/PmzUbdunWNAQMGmJcp/sw8CoqKioyXX37Z+OCDD+5qP3v2rIUqeniuXbtmPPXUU8aUKVOMnJwcwzAMY8SIEUZ0dPRdy/3SccYW5Ofnm3/Ozc01/9yrVy+jRYsWd233888/byxYsOCh1mcp+fn5xrRp04xJkyaZ25KTk43HH3/cMAzDuHLlivHRRx8Z69ats1SJVueR7UkvOX1cdnY2Fy9eJC0tjd69e+Ph4YGjo6P5qZFJSUnUrFnTpu+yLlOmDB988AGffvopjz32GJ07d75nGTs7O7y9valatarNP0AAfuo5vXjxIh988AFNmzZl8uTJ5Obm0rx587vGVxfvE7Y2Q0WxvLw8Nm/eTOXKlfH19TVvZ+3atXFyciIxMZFNmzbh4eHBlClTcHZ2tqkHFBUVFZGamkpmZibz5s3j3LlzREVFMXfuXLZv305cXBy+vr6cPXuWESNGEBAQYB7mYmuK/+2rVq1KUVERO3bsoLCwkMDAQBwdHc2fC8MwqFatGuHh4QwdOhQXFxebu0H0/2IymejYsSNTp04lLy+PkJAQTCaTTQ/pKCws5NatWwwZMoSoqCiGDBliHhLVsWNHVq1axZIlS/jTn/4EgJeXl019Z+bm5rJz507zg9refPNNtm3bxunTp2nSpAmurq5cvHjRfOVg1KhRBAQE8Morr1iw6tJlGIZ5mOiGDRuIiYkhMDCQNm3aUFhYiI+PD+vWrWPRokV88cUXREdHm5/KLY/ocJfiyy65ubnk5ubi4+NDly5dyMrKYvbs2YSHh5vnJC1+gqYt3sxilBhjfOTIERISEjCZTHTt2pWaNWuSl5d3z/CXR0VBQQHLly9n0KBBVK9eHS8vL1q0aMF7771nfsz9z9ni+1OuXDm8vLy4cuUKmzZtomHDhri7u5Ofn4+9vT3+/v40adKEPn360KFDB8B2nhZ58OBBdu3aRZ06dcxPhyxXrhwjRozAw8ODmjVrsnHjRlJSUjh+/DiffPIJAwcOpEePHpYuvVQUf28W/9vXrl2bW7dusWPHDhwdHalZs6Z5BiT46fNQ/LCRgoKC/8fefcZFdW0PH/8NQ+8dpIMFQUSKIhipVmwxduyJRo3GGo0tMYkVY7ymiIq9GzWW2GPvDSwI9oZioynS23CeFz4zgST33v+9Nzo67O8bBeb4WTMO56zZZ+21NLIs7t+Ry+U0a9aMb775hrZt22pkecuxY8dYtmwZUVFRaGlp8fjxYy5evMiXX34JvEpclf/3H3zwAZs2bSIyMhIjIyONO2cmJCQwYMAAgoKC2LFjB1lZWbRq1YqvvvoKS0tL1SLgzz//zO3bt2nUqBGjR49Wd9ivRVpaGmZmZqrFUC0tLVXjiTNnzuDu7q7aJNupUydcXV3p1q2bqu2i8Eq1TNKVbX8GDx7MjRs3WLlyJZ06dSIoKIgLFy5w8OBBMjIymDJlCl26dNHIXcVSpR3WO3bsYPfu3YwYMYLGjRsTFxeHs7OzajVA01V+LZQJiJaWFocPH+bixYuqgRpmZmbcvHmTFi1aoK+vr86Q3yhzc3PMzMxITU3lzJkzhIaGoqury5YtW5gyZQphYWE4OTkBmtWt49q1a4waNYomTZpgZWWFlZWVqh++vb09derUoVGjRqSmplJWVka/fv2IiopSd9ivjUwm4/79+0ybNo179+5x7949ulralqwAACAASURBVHfvzu3bt7l27RqGhoZVWtRWpil3Vf4bhoaGdOvWrcqGWU2SlZXFrl27ePnyJQEBAZSXl7N69Wrc3d1xdnZGW1ubiooKfv31V7y8vOjatStGRkbqDvu1cHZ2xtjYmM8//xxPT0+mTZuGu7u7Khn39fUlMjKS9u3b06JFC43t+b1gwQIOHTpE8+bN2bx5M+vWrSM5ORkzMzNatmzJ48ePOX78OF5eXqo7S46OjlhZWak58rdPtUzSExISmDx5MpMnT8bPz48ffviBmzdv0qZNG1q2bMm9e/d4+vQpQ4cO1cid9/D7qu+6detITU1lyJAh1KlTBwsLC8rKyli1ahUNGjQgNjaW8vJyjb19X7ksY+3atWzatInz588TGhqKs7MziYmJJCYm0rRpU3744QfS0tJo27Yturq6ao787yf9i0E7NjY2GBgYcO3aNVJTUzl//jzr1q1jxowZ+Pv7qx6nCStjy5cvR0dHh8aNG2NoaMjXX39N3759adKkCQAnT56krKwMJycnnJ2dCQkJITg4WONHVF+4cIFJkybRt29fHjx4wJYtW4iIiCAoKIiLFy+SkpKCg4NDlem7wiua8sH1r9jY2GBvb8+6deswNjbGz8+PzMxMkpOT0dbWxszMjGHDhlFUVERERIRGnCMqe/bsGQ8ePMDW1paLFy8SHR1Nbm4uv/zyC71790ZXVxdHR0esra0ZM2YM77//PpaWlhr7npg8eTLp6elMmTKFNWvWsHfvXlq3bk12djazZ8+mVatWNGzYkKtXr/Lbb78RFRVVbaaH/jeqRZKurKOUJImysjKuXr1Kr169KCkpYfr06UybNo1Nmzbx5MkTQkNDCQoKIjw8vMqoak1QOQmTJAmFQsHEiRO5d+8erVu3xtzcHH19fTw8PHj58iULFiygQYMG9O3bV82Rvz7KBP3YsWOsXbuWzp07s2XLFs6ePUufPn1wdnZmw4YNnD17lqysLObPn6+Rt6z/VQ258vfHzs4OuVzOqlWrVINHateurVG1+F999RWJiYnExMSgr6+Pv78/d+7cIS4ujr59++Lh4UF+fj7nzp2jtLSUunXrauwqsfJ8ofxzy5YtdOvWDVdXV+Lj4xk9ejT+/v7o6uri4eHBgwcPiIqK0sgPsMLvnj17xq+//oqvry+SJCGXy7G2tkZPT4/Vq1fj7+9PcHAwaWlprFy5kuPHjxMUFMS4cePUHfrfrry8nLt377J27VoOHTrEgQMHaNKkCa1bt+bIkSMcO3ZMNSfDx8cHExMTAgICNPJ35OXLl3zyySfs37+f+fPnY2dnx6JFi5g/fz6+vr40adKEgoICfv75Z1VnIycnJ7y9vdUd+tvtze9VfbOUnQYkSZKKiopUf8/JyZEGDRoknTx5UpIkSZoxY4bk6ekpnTlz5o3H+Cbcvn1b6t+/v3T48GEpNzdX9f3Hjx9L0dHR0tq1a1XdGSr/rDoYMWKENHDgQOnevXuSJL3q1hISEiLNnTtXkqRXu/Pz8/NVj6/8ntIElTtu/Pjjj9L8+fOlTZs2VelKoHxv5OfnSwkJCarva8pr8eLFC2nQoEHS5MmTVd9TdmyRJEmKiYmR+vfvr/r6H//4h7Rz5843GuObVPk9kZ2dLUmSJMXFxUlDhgyRunTpIl2+fFmSJElKT0+Xfv755yrH/vE8ImiGiooKqaysTBo4cKDk6ekpxcbGShs3blT9PD8/X/rxxx+lnj17ShkZGZIkvXrvKN8/mio9PV2Kjo6W3nvvPens2bOq71dUVEiRkZHSN998o8bo3oxr165JnTp1kpYtWybFxcVJ7dq1k7KysqS+fftKa9euVT3uypUr0pgxY9QY6btHo1fSpf/faaC4uJjx48eTkJBAQkIClpaWGBoasm7dOvr160d2djYpKSl89NFHREREqDvs1+LEiROsWbMGuVxOfHy8asiIra0tLi4uzJs3D0dHxyrDdzS1X+sflZWVsWzZMpo2bYq7u7tqs9fo0aOxtLTEz89PtfKhSTXXSjKZjNLSUkaPHq2aC7BkyRJKSkpwc3PD0NBQtVKuq6urGiyhKRtEKyoqGDlyJNnZ2cTHxwOwevVqvv32W8LDwzE3N6dz587Mnz+fa9eu0bx5cxo3boynp6eaI389lP+vFRUV/Pzzzxw6dIgmTZqQlpbGnj17mDVrFg0aNODp06cMGzYMR0fHKhMzNeWuilCVTCZDS0sLfX19Hjx4gI+PD8ePH2fv3r04Ojri6OiIr68vN2/eZPXq1XzwwQcYGRlp5J3HyncPjYyM0NLSwt7ensuXL1OvXj1MTEyQyWS0aNGCsWPHEh4ejp2dnZqjfn1evnyJg4MDMTExNGrUiHPnzrFlyxY6dOhAWloakiTh4uLCgQMHuHv3LlFRUWhra4tzxf+BRifpypH2w4cPp1mzZnh7e7N8+XLc3d0JCAjgzJkzbN26ldWrV9O+fXvatWun7pBfGx0dHQ4cOMDUqVMpLy/n1KlTHDhwgHr16uHr64ulpSWTJ08mIiICa2trdYf7Wjx9+hQ9Pb0qiaUkSap9Bz/++CNdu3ZFT08Pc3NzfH19MTMz07ipmX8lJSWFCxcu8MMPP+Dl5YW3tzcbN26kTp06/7TsS1PKPGQyGW5ubuzatQsbGxt++eUXEhMT+emnn3B2dlaVezRr1ozZs2fTrl07jI2NNfa9oKWlxaNHj5g8eTIpKSkkJydjYGBA165duXnzJseOHWP//v2sWbOGmJgY+vXrp+6QhTeorKyMJ0+e0KdPH3r16sW5c+dYtWoVV65cISQkRLWJ3MfHRyPLOuD3TdT79+8nJyeHZs2aUbduXc6dO0dycjLh4eGcPXsWAwMDhg8fjouLi7pDfq0sLS2r7N9r2rQp+/fvJzExkdDQUGbPns3ly5c5ffo0s2bNwtraWmPPn383mST9/35ZGuro0aPcu3ePzp07M3z4cJo2bcqgQYMoKirCwMCAu3fvoqWlpdF9v5VJxvTp07GwsGDYsGGcOXOGgQMHUq9ePcLCwoiJieHSpUuEh4dr5CaOlJQUjh07xoABA1SdWaRKreIARo4cSVpaGlu3bq1yrPQvNlS+iypPflPat28fq1evZv369ap2edOnT0culzNx4kQ1Rfpm7dmzh+nTp1OrVi1WrlxZ5TU6c+YMISEhlJSUoKenp8YoX7/09HSGDh1Knz59eP/994mLi+Phw4dER0cTHh7OrVu3SE9Px9bWFi8vL+Cv31OC5urUqRMxMTF07dqVjh07EhoaSmpqKi9evKB///6qdqya6uDBg/z444/4+vqSmZlJXl4e69ev5/Llyyxfvpxnz54BMGPGDI1tuvDvpKWlMWzYMKKjo+nTpw83btzA19dXYz+4vS4atZK+d+9erly5wqVLl9DW1sbGxob79++ze/du1q1bR69evejVqxcAixcvxs7ODnd3d1VPdE2lTDDT0tLIyMigRo0aTJw4kQEDBtC2bVsuXrzIo0eP6N69u0aUL/wVGxsb/P39uXz5Mvfv38fV1VXVKk65aTI6Opr58+dTWFhIUFCQ6lhNStClSkOYTp8+TWpqKq6urri7uxMfH8+LFy9UXUz279+Pl5eXRrYg/Su1a9dGW1ubK1euEBoaiqmpKZIkMXLkSFXrTU38APvHjb8FBQWcOXOGAQMGYGhoiJeXF2fPnuXIkSM4ODjg7++Pm5sbNjY2qg+6IkHXPJUH/infH8pzpZ2dHQsXLmTRokWqBbA2bdpQq1YtQkJC1Bz536/yxvqioiJ+/PFHJk6cSI8ePYiOjmbfvn0kJibSs2dPAgIC0NHRYdSoUaq7CtWRmZkZtWrVYvz48bRr14769etrbH7xOmnMdIlx48aRmZmJj48P586dY8+ePXTs2JFWrVrx3Xff0bFjR95//30Ahg4diq6urkbegsrLy/unteTR0dE0a9aMzZs3M336dNVUr+DgYI0dNKJc4VN2qdi0aRMWFhZYWVmpdpXL5XLV6vHhw4c1MhGDqjXkM2fO5Ny5cxQWFhISEsK4ceOIj4+nb9++PHv2jKdPn2Jubq6aDFhd9OvXj5s3bzJjxgw+/fRT5syZg5eXF+PHj1d3aK/FX+0rKCkpobi4mEePHmFqaoqJiQnNmzfn559/5ty5c9SvX181iEaTPsAKv3v06BGrV69m1KhRGBoaqs6jyveKnZ0dkiQxdepUIiIiVOdPX19fNUf+96u8D2nz5s20bNmSO3fukJeXB4C2tjZDhw5l2bJl5OXlYWdnR+/evdUZ8lujUaNG7N69m5o1a6o7lHfWO7+SnpOTw6hRozA3N+eHH36gSZMmtGzZEh0dHZYsWUJwcDCBgYGqccSbNm3C09OT6dOna9QFRpIkMjIyiImJwdXVtUodNby6GBsZGVFUVISPjw/9+vWjvLwc0Mwevvn5+ejq6lJRUUFpaSlffPEFdevWJSAggHPnzqnuKCgHKShHmSsT+vLyco1bHdTS0kKhUPDrr7/y6NEjFi9eTOvWrdm+fTvp6em0bt2a1q1b4+TkhLu7O8OHD69yp6G6aNasGRs3bmT+/Pn06dOHoUOHqjuk16Jy8jFp0iT27NlDeXk5jRo14unTp2zduhUDAwMUCgXLly+ndu3anDhxgrZt22JoaKjm6IXX6caNG5w+fZq7d+8SEhLypxV1Gxsbjh8/zvPnz1W9zzXpeqqk/HBSXl7OnDlzSE5OpmPHjmRnZ5OamkqtWrUwMjLi9u3bXL16lXbt2mnk9fR/YWlpqe4Q3mnvdJKu7Mrw/PlzFi5cCLzqW2poaIijoyP5+fkcP36cQYMG4e/vT2hoKCEhIXTq1EnNkf/9KioqMDExoaioiE2bNuHv71/ll0OZZN2/f5/ffvuN7t27qxJSTSJJEjk5OURERNCgQQNcXFzIyMjg+PHjdO/eHUtLS8zMzDh58iRFRUU4Ojqqpt9VvtBoalJ6+PBhvvvuO+zs7AgPD8fU1BRHR0e2bt1Kbm4u/v7+uLu7q+ooNaWDy3+qVatWhIeHq6bNaiKZTEZ+fj6TJk3C3NwcR0dHzp8/z7Nnzxg0aBDp6elcuHCBX375hZiYGDp16sSRI0dUpUCC5lHuv7G3t8fQ0JCzZ8+Snp6On5+f6m6k8jEVFRW8ePGCoKAgjbsTW1RUhI6ODjKZjMLCQhYuXMiVK1dYsmQJMpmM4uJibt++zbJly1AoFCxYsIDevXur9mgIwt/lnU7SlV0Zdu7ciZmZGXXq1FElFPr6+mRmZnLgwAG6dOmCpaUllpaW2Nraqjnqv1/lFbGSkhIOHjzIqVOniIyMVK14KVdBatasyeXLl4mIiNDI5Esmk2FgYIBMJmPmzJm0a9eOp0+fcvXqVVq2bEl5eTnOzs6Ul5ezb98+TE1NqV27tsZ9WPlnPDw8kCSJmzdvUqtWLaytrXF0dKSiooJDhw4RFRVVpWWapn5Y+Xd0dXWxt7dXdxivhTLJysjIIC4ujhcvXjBr1iwaNmxIcXExFy5coKSkhJ49e9KyZUvatGlDUVGRalqiJtYcC1XrrpXteSVJ4tixY2hpaanOk8pzpaWlJa1atdK468jOnTtZuHAhqampWFpaYm5uzpUrV7hw4QJmZmZ4enri5uaGj48P2traFBcX07NnT41t3yyo1zudpMOr2jgrKyu+//576tati5OTE2VlZcjlcoqKinj48CGtW7fW6GRDedIcMWIEd+/epWvXrhw9epSUlBQiIiJUKwIVFRXo6urSsmVLjTuxQtUNcA0bNuTevXusXLmSWrVqUVpaipmZmepP5fjy0NBQjaxB/+NmwIqKClVy5u/vT2JiIleuXMHFxQVra2u8vb2JjIxUlf8ImufBgweYm5ur3hcvX74kKSmJq1evUqtWLRwdHXF1dSUzM5MjR45gYmKCm5sbCoWCpUuX0r9/f1q3bq3mZyG8DsqFnrKyMjZs2IBCocDAwAAfHx9ycnI4fPgw9vb2ODg4qM4tyjuQmmTx4sVs3bqVmJgYtm7diq6uLg0bNsTDw4PCwkLu3r2LmZkZNWrUwNDQkAYNGhAQEKCaHSEIf7d3PkmHV10ZCgsLWbFiBYGBgarV8mnTplGnTh2Cg4PVHOHroTxZlpWV8fTpUw4fPswPP/xA7dq16d27N3PnziU7O1tVU6jJq8WVyzKys7MxNDSkefPmHD16lCVLluDk5MT58+fZunUr27dvJzc3ly5duqCjo6NRY+2VlM8nISEBR0dH1f+/8rkGBweza9cubt68ia+vL0ZGRujp6Wlcu0nhlfnz5zNmzBgeP36Mn58f2tramJub4+DgQE5ODqmpqTg5OWFjY0ONGjXQ09MjKioKuVyOjo4O4eHhGrnRXnhFJpPx6NEjhgwZgq6uLsePH+fKlSt4e3vj5+fHkydP2L17N/Xr19fYGuMJEyaQlJTEokWL8PHxobCwkFu3bqlKJH19fbly5Qo3b97EyclJY18H4e2iEUk6vFo5TUlJ4ejRo7i6uvL555/j5OTE559/ru7Q/nbKREomk3Hjxg02btyInp4e69ato2PHjqoJkXp6esybNw9nZ+cqgwY0jXLDZ15eHkOHDiUpKYm9e/fi4+NDz5492bt3L05OTsyZM4fo6GiioqIIDw9XHa+pSenVq1f57LPPsLGxoXbt2qrXSXlHxdvbm6KioirlC5r6WlR3xcXFZGRkkJmZyaVLl7h48SLBwcHY2NhgampKcnIy9+7do06dOtja2lK3bl3V1FHlpElBc2VnZzNs2DCGDh1Kjx49WLhwIVpaWty6dYumTZvi6urKkydP8PLy0tjkdN++fVRUVNCtWzeOHDnCt99+i5ubGydOnODIkSOEh4er9m3Y29vj5uam7pCFakBjknR41ZXh559/Ji4ujr59+zJixAh1h/RaKBOpxMREtmzZQkBAAFFRUaoJaMrWiikpKTg6OtKqVSuNLmOQyWQ8ffqU4cOH88EHH9CxY0e++eYb6tWrh6enJ82bN+fzzz/H2NiYoKAgjI2NgT+XhGgaAwMDLCwsWLt2LZ6entjb26u6FVRUVGBpaalqmSZW0DXbixcvuHbtGtOmTcPT05OLFy8yf/58DA0NCQ8PR1dXl8TERNzd3avU4ov3hGZ68uQJL1++xNTUVFX2FhQUhJmZGQMHDmTQoEEEBQWxZs0a0tPTadOmDY0bN9bIadTK60DLli355ZdfWLt2LQkJCcycOZO+fftSs2ZNzp07h4mJCU2bNsXLy0sjW00KbyeNWx5ZtGgRa9as0fg+pU+ePGH69Ok8e/aMli1bIkkSQ4YMoaCggJiYGAYOHMiRI0cYO3asRn7ir6ioqPL1ixcv6NatGw0bNmTChAmMHj2a9u3bk5ubi52dHWvXriUwMLDKMZqyOlh5aPCTJ0+YMGECACYmJkRFRdGiRQu+/fZbsrKyVG0Y//jcRTKm2fz8/MjPz2fTpk3Ur18fHx8fMjIyOHToEG3btkVfX59Ro0bRoEEDdYcqvGZFRUUkJyezfv16Jk6cyLJly8jPz8fDw4Pz58/j7+9Phw4d8PX1xcPDgxo1agBo5N4d+L01LbwqC9PS0iIgIICGDRsC4O3tXeUxzs7OaotVqH40aiUdNLcrwx8TK0NDQ/T09Ni2bRteXl64uLhgZmbG+++/T40aNahZsyajR4/WyBNr5RHkyvrzCxcuEBsby/Hjxxk+fDgdO3akvLycWbNm4ebmRr169bCzs9PI1XPlKvjly5fJy8vj0KFD3Lhxg6ZNm2JgYICRkRF79uzh5MmTdOjQQSM3DQv/nPL9YWNjw7Vr19i6dSvnzp1jxYoV9OjRg/T0dBo1aqRKPsRdFc2mo6NDQUEB8+bN4/nz58ycORM7OzsAUlNTOXbsGABxcXGEhIQwYMAAjX8/KJNwAwMD6tevT1xcHFZWVtSpU4cffviB27dvM3DgQNVdWEF4UzQuSddEyp33+fn5LF26lLS0NLS0tAgLC0OSJNavX0/Dhg2xsLAAwMXFRdXnWtNU3iC6fPlyYmNjiYiIwN/fn4sXL2JoaMiwYcN4/vw5Y8eORUtLi27duqmO16SLzebNm6lXrx4ymYxLly6xYMECunbtipeXl2pzrJ+fHxYWFty6dQsHBweCgoJEkl7NKN/z+fn5fP/991haWrJ27VrMzMwACAkJwczMrMpeF0HzVP7wZWRkRHl5Oebm5mRnZ+Ph4YG+vj6Ghobo6Oiwf/9+IiMj6d+/v3qDfoOUZYC2trbY29szd+5c9u7di0KhIC4uTvX7IghvkkjS3wEymYy7d+8ybNgw9PX1efHiBbGxsYSFhdG8eXNSU1NZtWoVbdu2RVdXV93hvlZaWloUFxczYcIEtLS0SE5O5uLFizRr1oyAgAC2bdvG/v372bZtGwEBAXz55ZeA5tWfv3z5UvVh5L333uPJkyc8fvyYNm3aYGJigq2tLfPmzSM3N5cFCxbg7e3NyJEjkcvlYqW0mrKxsSE7OxtdXV0iIyP/9D4Q7wnNVPnD15UrVzh8+DB5eXl0794duVzO2bNnyc3NxdfXl3v37uHt7U2PHj0ICAhQd+h/uz++5wsLC6vcbVb+rFatWigUCgwNDZkxY4bGDWsS3h0yqXJBq/DW+OPJJC4uDhMTE/r27Qu8qr3fvHkz+/fvJzMzk8WLF/Phhx9Wi3q5KVOmADB16lTy8vLo168f3t7eTJ8+ndLSUl68eEFeXh61atUCNHdq5rVr1xg6dCgTJkzAysqKGzdu0KdPH9XPExISOHLkCA4ODqo9GiJBr97279/Pzp07+eabbzS2S4fw17Zu3arqALZ9+3ZCQkIYPXo0GzZs4PLlyzx9+hRtbW3mzJmjcUP/SkpKKCgowNLSkoKCAvT09Lh48SIHDx7ks88+Q09PT/VYcY4U3ibi4+FbSnmSuH//Pu7u7qpyBYDy8nKGDBnC2bNnSUlJwdfXl8mTJ2tkIlq5/hygrKxMtUkUXm2O/O6772jfvj1ubm4MHDgQOzs7VY1l5Wms77o/Xjy8vb2ZOHEiU6ZMwdraGk9PTzIyMtDX18fc3Bw3N7cqLUj/+FoK1U9kZCSmpqYiQa9m7ty5w9GjR9m8eTP79u1DkiSaNWuGXC6nS5cu+Pr6cubMGfr06aOaUq0pSktLSUhI4MGDB9jZ2bF3715GjBiBn58fzs7OVRJ0EHeUhLeLuGK/ZSp3LTlz5gzx8fEAdOnShVu3bnHu3Dm0tbV5/vw5CoUCY2NjZDKZxiSilf1xg2hpaSk6Ojq4u7sTFxenepyzszNt2rRhxYoVpKSkVPk3NCUprVyuc/XqVTIyMsjJyaFVq1aMGjWKBw8e4OzsTJ06dSguLlZdkJSUPdKF6k1HR0djh7sJv/tj9ytdXV0sLCyYPXs269at4x//+Af+/v4kJCSQnp6Or68vgwcP1rgEHV49dxMTE7Zs2cI333xDVFQUrq6u6OrqqjrXwKsFIEF424iV9LeMlpYW5eXlaGtr4+npybVr1zhw4AAtWrTgxo0bjB07lt69e/Pbb78RGRlJzZo11R3ya1G5RGXKlCncv3+fsrIyFixYwEcffURaWhp9+vRh3LhxLFy4kBYtWqh6/vr4+Kg5+r+fMsGOj4/nt99+o1GjRqSlpTF37lxiYmJITU3l9OnTjB49Gvh91V1sBhSE6kW5uFFYWIi2tjZyuRxtbW3u3buHoaEh8fHxGBsbk5iYyJw5cxg/fjyurq7qDvtvV/ka4uzsjKOjIzY2Nn+ZjM+ePZuwsLAqg90E4W0gNo6+RSRJoqCggA4dOvDo0SN8fX3x8fFhwYIFNGvWjKZNm+Lu7o6uri4hISHExMSoO+TXRrnT/tdff+Xu3bt89913nD59mr1799KsWTOio6O5fPky165do169enTr1o3Vq1cTHBysUR9cKpe4zJs3jzt37hAfH8/Jkyc5deoUFy9epH379oSGhrJx40Zyc3MJDAwUybkgVFMymYxr164xePBgEhISePjwIWFhYeTn5/P8+XOSkpJ4+PAhCxYsYPDgwYSFhak75L9d5QR9/vz5aGtr8+GHH1JRUcHZs2cpKirC09OToqIiJEnC0tLyT3M0BOFtIDaOvgWUCZVyBX3MmDHIZDIKCwtp2rQpWVlZeHt706JFC3WH+lpdv36dq1ev0qVLFyoqKhg2bBiZmZlMnDhRdQLt168fjo6OzJw5U3Xco0ePGD16NOHh4Xz66afqCv+1KS0tRVdXl7179xIeHs6PP/7IvXv3GDt2LKNGjaJJkyZ88cUXlJSU/Km+UhAEzVe5NDA/P5+JEyfSvn17FAoFR44cwcXFhU8//ZRTp06RkJCAJElER0dTt25dNUf++rx8+ZIxY8bg6Oiomjidm5vLzz//zJ07d3BzcyMxMZFBgwaJEjDhrSVW0tVo//792NnZoaenR2JiIhs2bKBRo0YoFApKS0v5+OOPiYuL4/Lly2RnZ9OmTRt1h/xa5ebmYmBggJmZGXp6etjZ2bF7925cXV1V/cCjoqKYPXs2RUVFNGrUiPLycs6ePUtQUBA9evRQ91P42xUVFfHtt99iampKaGgoN2/e5OjRoyxYsAArKyvOnj3LuXPnCA0NxcrKCplM9pcTRQVB0EyVE/S1a9fy5MkTCgsL+fDDD3F1dUVPT4/Tp0+TnZ1Nu3btCA4OJjg4GBsbGzVH/ve6ceMG58+fV80I+e6777CxseHLL78kOzubkydPUlRURJs2bcjLy+PEiRN07tyZyMhINUcuCP+cqElXk4kTJ/LkyRNq1KhB/fr1KSoqIjMzk6FDh/LVV1+xbNkymjdvzo8//siaNWu4e/euukN+rSoqKqhZsyYZGRkEBgayadMmGjVqxNChQ4mPj6dOnToEBARgZmbGihUrVBuctLW1adGihcZsnP1jB5bS0lLu37/P8+fPgVd9fU+cOMHTp085duwYtra2bNy4sUrLNE15LQRB5HD9HwAAIABJREFU+NeUd18Bli5dyvbt2/Hz82P37t1ERkbSpEkTGjVqxMuXL/nll1/w8vIiMDBQ48rgysrKePr0KQEBAeTk5GBubo6lpSX3799n+PDhWFlZ8ezZM65fv86yZcvo0qULHTp00Pi5IsK7T6ykv2FFRUV8/PHHmJub89NPP6k6cLi6utKiRQuOHz/O3bt3USgUpKWl0bp1a4KDg+nQoYOaI389ysrKkMvlVSbh5eXl8f3339OlSxf8/PzIzs5m7dq1NGrUCEtLSywtLTExMVGtGGvSqrHydSgqKkIul2NgYEBhYSE7d+6kVatWuLq6kp2dzcqVK7l9+zZffPEFtra2orevIFQjz58/p6KiAn19fYqKihgzZgx6enrExcXRtGlTjIyMWLNmDYGBgdjZ2WFhYYG/vz9+fn7qDv21kMvluLu7k56ezqRJk6hbty4+Pj7k5+fj7e1Nz549ad++PTdu3KBx48ZYWFiIxQzhnaA52c074u7du1hbWzN9+nQAbt26xaVLl9i8eTPw6hadv78/RUVFbNu2jZycHI2cdlZSUgK8agknSRIbNmxg586dwKu7DA0aNFAN4Bk1ahTW1tacP3++yr+hSSfZyi3TduzYweDBg1m8eDGFhYU0btwYe3t7iouLAZg8eTJz585l/fr12NraolAoRIIuCNWEQqHg+++/Z8SIEQAYGBiQm5vL3r17gVctB9u0aUPjxo0ZP348+fn52NnZUb9+fXWG/VooFIoqX8vlcurVq8eSJUvQ1tamf//+dOzYEUC118vd3V0doQrCf0VsHH3DUlJS6NWrF+vWreP48ePcuXOHJ0+ekJaWRnBwMNOnT8fAwIDS0lJu3rypcSdW5Ypv586d8fPz48svv6Rfv37o6enx8uVLdHV1WbNmDQCdOnXC3Nyc5cuXqznq10tZ4lJeXs7u3bt5//33OXXqFDt37uTZs2dER0czb948pk2b9qfNw5o6TVUQhD+7ceMGdevW5e7du8yZMwdXV1cmTpxIfn4+MTExBAYGorw5npqaypo1a+jfv79GTqJWXksKCgrYsmULQUFBeHh4kJ6ezrJlyygvL2fy5Mnk5OQwY8YM6tSpo/pgIwjvClHu8obZ2tpSXl7O/Pnzefr0KZ07dyYmJoZBgwYxc+ZMGjZsiIODA3K5vMowGk3x8uVL9PX1CQgIYOrUqaSmphIREcGECRPo2rUrCxYs4Pr16zRv3pz27dvz/fffExERgampqaotoyatGiuHDD1+/JiNGzeycuVKDAwMaN26Nc2bN0ehUPDixQvOnTuHubk57733HvB7WYwmlfoIgvDP3b59m9jYWEpKSggNDcXBwYGtW7eSn59PUFAQwcHBxMXFUV5ejr+/v2qzubm5ubpD/1tVbi/7+PFjhg8fzv3790lJSeHGjRu0bt0aGxsbkpKSuHTpEtHR0dSvX5+WLVuqO3RB+I+JJF0NGjduTEREBAMHDqR27dqYm5ujp6fH2bNnadq0aZVNgJpk1apVbNy4kYCAAFxcXPDx8eHbb7+lXr16BAUFAdC6dWumTp1KcXExoaGh9O7dG2tra1UyqkkJOrx6PgkJCYwePVq1gfjOnTuUlJRQr149vL29CQwMxMTEhEOHDtGjRw+New0EQfj35HI5WlpaHD9+HBMTE4KDgzE1NWXdunVYWVkRGBiIu7s7EyZMICIiAjs7O437EF95701hYSHJycl4enoyYcIEDAwMuHjxIg8ePCA6OhotLS2uXr1KQEAA9vb2ao5cEP47IklXEzMzM9Xf09PT+fTTT3Fzc6Nr165qjOr1mTlzJufPn2fkyJHY2Nigo6ODq6srxsbGLFq0iC5dumBoaIiRkRG+vr7s2LGDDh06aNzG0D9SKBT89NNPtGrVir59+xIUFISWlha//fYbTk5OODg4AFC/fn22bdtGYGAgFhYWao5aEIQ3RZmY6uvr4+7uTkZGBgcPHqRmzZo0btyY8vJyNmzYgJeXF40aNSIsLEzjyiSBKq1lFy9ezKxZs0hISMDOzo7AwEBsbGzQ1tbmxIkTvHz5kg4dOhAWFoaJiYmaIxeE/57mZj/vgPz8fHbu3MmHH35IREQEU6ZMUXdIr8W2bdt49OgRq1atwtvbGz09PWQyGRUVFfTv35927drRu3dv1ebJkJAQVq9ejVwu17h667/a6GRsbExOTg6lpaXY2tpSr149njx5wrp160hLSwNgw4YNyGQyVdIuCEL1IJPJyMnJYdq0aWRlZdG1a1fc3d1ZsmQJmZmZ9OzZEz8/P6ZPn05paalGJujwe6OAffv28fDhQ7744guioqLYu3cvKSkpGBkZERQURFBQEHl5eQBiuJvwzhMr6Wqko6ODjo4OoaGhtG7dWt3hvDYHDx7EwMCAsLAwTp8+zY4dO5g3bx47duygZs2axMTEsGXLFnbu3Ennzp1Vx2laW8GKigrkcjkVFRUcOnQIPT09TE1Nefz4MXfu3MHBwQFbW1v09fVVbTgtLCzw8PDA2NiYgQMHamSnH0EQ/qzy+e/hw4dcvHiRCxcuEBkZibu7OykpKVy6dImQkBAaNmxIkyZNVAPNNNW6deuYNGkSn332GcHBwXh4eFBYWMimTZto0qQJNjY2eHh40KRJE3WHKgh/C5Gkq5FMJsPCwkLj6+V0dXWZN2+eqmNJjRo1aNy4Mbm5uRw4cIBOnTrRo0cPbGxscHV1VR2nSRcb5QbRrKwsBg8ezOnTp0lKSiI7O5uYmBhOnDjB4cOHOXr0KIsWLeLjjz/mwYMHWFhY4OXlJUpcBKGaOHr0KDVq1EBbW5ubN29ibW2NlZUVZmZmXLt2jaSkJNq2bYuFhQX79++nqKiIhg0bauQGUah6HfD09OTcuXNcu3aNDh06YGhoiLOzM1evXmXPnj20b99erJ4LGkUk6cJrV6NGDfz8/CgvL2fYsGGEhYXRuHFj3nvvPfbu3asavlE5Qdc0MpmM1NRU5s6dS6dOnZg8eTIKhYJjx46hpaXFwIEDcXFxQS6X8/HHH2NkZMTy5cvp2LGjKHERhGpi0qRJXL16lebNm3P9+nViY2ORy+V4enpiZ2eHvr6+KjFv0aIFHh4eNGvWTKMWNKBqB5fTp09z+PBhbty4gZ+fH02bNmX16tVkZmYSEhKCiYkJtWvXJiQkBEtLS3WHLgh/K5GkC2+Eg4MDjRs3xtraGkNDQwC+/vpr9PT0aN++vUZuDlVeaCRJoqCggG3btrFlyxY++OADnJ2dsbGxQZIk9u3bh46ODk2bNsXX15eTJ08ybdo0pk2bRsOGDdX9NARBeM1ycnIYNWoUhoaGfPvtt2hra1NUVKTaCGlra4uTkxM1atRg9+7dJCUlUb9+ferVq6dxCTr8vnq+fv16li5dSocOHRg3bhwlJSW0aNGCBg0aMHfuXHR1dfH19cXc3Fwk6IJGEgWuwhuVl5fH9evXWbhwIU5OTsydO1fdIb0WlYcMyWQyjI2Nad++PWlpaWzevBlPT08sLS1p2rQpT58+5c6dO6qkvmHDhqxevRpra2s1PwtBEF63iooKPv/8c7Kzs1m0aBEAK1euRF9fn/fee4+XL1+yatUqHBwcKC4uxtzcnFGjRuHl5aXmyF+vrKwsLl68yPr16zl58iS1atWibdu2wKtuV6NHj+bkyZP06tVLzZEKwusjJo4Kb1ROTg5r165FV1eXQYMGAZo3NbPy85k9ezZmZmZ4enoSFhbGnTt3WL16NYaGhkycOFFVp65MyJXTRwVBqD6Sk5MZO3Yso0ePVg3hmTdvHjVq1ODu3bts3ryZU6dOoVAomDx5smqomSb547nvzp07zJo1i9q1a3P79m2mTp2Ko6MjBw8epH79+ho57E8Q/kgk6cIbV1JSotrco6lJaXZ2NuPGjaNBgwbIZDKOHTtGhw4d6NevHwkJCSxfvpw6deowevRo1TGa+loIgvDv7dmzh+nTp1OrVi1Wrlz5p3PBjRs3sLKywsbGRk0Rvj7Ku4i5ubkUFRWpEvABAwaQkZHBzp07AUhMTOSLL75g8uTJhIaGqjNkQXgjRE268MYp2wgqO55oguTkZI4dO0a9evWQJIk5c+YQFBTEhx9+SHx8PDY2Njx69AgdHR3CwsLQ09PD19e3ymqQJtaWCoLwf1O7dm20tbW5cuUKERERGBsbq/a0yGQyrK2tMTIyUneYf6vjx4+zdetWQkJCSEhI4OOPPyYxMZHDhw8THR2NhYUF169f5/Tp09y6dYtVq1Yxbtw4wsLC1B26ILwRYiVdEP5H5eXl7Nq1i9WrVzN8+HAiIyPJy8ujrKyMMWPG0LZtW7p27UqPHj0oLS1l4sSJNGrUSN1hC4LwFpo0aRLp6enExsZq5Kp5Zbdv36Z9+/aMGzeOFy9eEBgYSIMGDejYsSPR0dFMnDiRhw8fsmvXLnR0dGjRogVubm7qDlsQ3hixcVQQ/kfa2tqqlZ3ly5fj4uJCzZo1uX//PpIk8cEHHwDg4uJCgwYNNHYioCAI/7uZM2cSExPDzJkzmTNnjkYOMFPu26lduzaLFi1iyJAhdO7cmcjISAA2b95MdHQ0NWrUoH///gwdOlTNEQuCemhGrYEgvGEKhYLz58+rvra0tMTExITHjx8zZ84csrOzsbCwwNDQkEmTJtGnTx/Mzc3p1asX+vr6VFRUqDF6QRDeZosXL6ZXr14anaADXL9+nYiICCZPnsyOHTvIzs4GwM7Ojri4OGJjY7l79646wxUEtRLlLoLwH5IkiV27drF+/XrGjh1LYGAgu3btYtmyZXTp0oXU1FTy8vKIjY3l+vXrnDhxAkNDQ3r37g2IDaKCIFRv2dnZjBgxgoYNGzJkyBAMDAwYN26canKo0o0bN6hbt64aIxUE9RJJuiD8F9LS0ti9eze3b9/G3NycW7du8cUXX+Dp6UlycjJLly7FxsaGL774ospxIkEXBKG6UigU5OXlMWTIEFq2bMlHH31U5ee9evWioqKCDRs2AL93fRGE6kpkC4LwX3B2diYqKgoTExP27dvHrFmz8PT0RJIk6tatS+fOnXn+/DnZ2dmq0hZN6mYjCILwf3Hs2DG+/PJLAORyOdnZ2Zibm6sS9JKSEtVj16xZQ3l5OZmZmYDoeCUIImMQhP9SnTp16NSpE5GRkWzevBmFQoFMJkNHR4fg4GBiY2OxsrJSJebigiMIQnVjZGTE7du3WbZsGQAmJiakpaVx+vRpAPT09KioqGD79u1oaWmxadMmje9qIwj/V6JPuiD8D2xtbdHR0SExMZEHDx7QsGFD4NWKkVwuF7drBUGo1mxsbLC3t2fdunUYGxvj5+dHZmYmycnJaGtrY2ZmxrBhwygqKiIiIkKcLwWhEpGkC8J/SZmA29vbU15ezqFDh/D09MTa2lr1GHHBEQShOnn27Bm//vorvr6+SJKEXC7H2toaPT09Vq9ejb+/P8HBwaSlpbFy5UqOHz9OUFAQ48aNU3fogvDWERtHBeEv/NUK+K5du6hbty61atX60+NzcnLIyckRgzYEQaiWJElCoVDwySefcOLECT788EPc3d3p1q0bAAUFBSxfvpyzZ8/y/fffY2Njw/Pnz4FXLWwFQfgzUZMuCH9QUVGhStCfPXtGUVERubm5FBQUYGdn95fHmJubqxJ08blXEITqRiaToa2tTdeuXfH29sbc3JzffvuNIUOGcOnSJfT19RkwYAB16tRh+PDhKBQKLC0tRYIuCP+CSNIFoZLKHVhWrFjBtGnTyMzMxNTUlO7du2NiYvKnx/+RKHERBKG6cnFxwcvLiw4dOrBs2TJsbGyYMGEC48ePp7i4mE6dOhEaGkpxcbG6QxWEt55I0gWhEmWCPXv2bE6ePMnXX3+Ni4tLlQmhxcXFbNmypcrjBUEQBKhbty7Xr1/n5MmTACQnJ9OyZUtKSkoYMWIE6enpDBs2DCMjIzVHKghvP82bOSwI/4XKQ4bKy8vJyclhxIgRZGVlsXfvXpKSkqhVqxaffPIJKSkpao5WEARBvZTnzMrnToVCgVwuZ8SIEXz33Xf89NNP9O7dm0GDBgFw5coVfH191Rm2ILxTxEq6UK1JkqQqcXn27BmHDx9GJpNRXFzMrFmzWLRoEYWFhdSvX587d+5QXFxMgwYN6Ny5s7pDFwRBUItHjx4RGxtLYWGhKlGHV61nAezs7JAkialTpzJo0CDKy8sBRIIuCP8hkaQL1ZpMJkMmk3HmzBkGDx5MZmYmcrmcSZMm8fXXX/OPf/yDIUOGoK+vT05ODpIkoaOjo+6wBUEQ1ObJkyc8e/aM+Ph4gCqJOoCXlxdOTk4cO3YM+D15FwThPyOSdKHaS0xMZPr06cyZM4fu3btTVFREQUEBdevWJSsri1mzZrFz506+/vprDAwM1B2uIAiCWig3ygcGBvLBBx+QmprKypUrgVeJuiRJqmS9TZs26OnpUVpaKvbuCMJ/SdSkC9VO5RpKAG1tbby9vUlOTubYsWNcunSJU6dOsXjxYkxNTZHJZKxYsQJdXV1VzaUgCEJ1UvncJ5fLCQoKIjc3l3379mFra0ubNm1UdyYBQkJCeP/999UZsiC888TEUaFaqXyhKS4uViXst27d4vDhwzRp0oTu3btjYWHB8+fPadGiBU2bNkUul4sEXRCEaqmiogK5XE5ZWRkbNmxAoVBgYGCAj48POTk5HD58GHt7exwcHFRzJkT3FkH434mVdKHaUI6ofvbsGePHj6dWrVrk5uYyadIkJkyYQGlpKbq6uly6dIkdO3YwduzYPx0rCIJQ3WhpafHo0SM+++wzfHx8OHPmDJaWlgwZMoROnTqRl5dHfHw8VlZWuLu7qztcQdAYoiZdqDZkMhnXrl3j008/pXfv3oSFhXH69GlGjx6NQqFAW1ubzZs3M2HCBMaOHUt4eHiVYwVBEKqj7OxsRo4cyZAhQ/j888+5d+8ez549Y/HixWhpafH+++9Tu3btKptHBUH438kkMcNc0GCSJCGTyVR/bty4ETc3N6ytrfnss8+IiYnht99+w8nJialTp3L27FkcHR1xdnZWbZISCbogCNXJkydPqKiowMnJiStXrlCvXj0ePHiAJEmMGTOGAQMGYGZmxtSpU4mKimLixIkoFArR+UoQ/mai3EXQWJVryAsKCjA2NqZbt24UFBQwfvx4xo0bx3vvvceNGzfYtGkTAQEBdOzYEfjz5lJBEITqoKioiOTkZJKSknjx4gWFhYVMnToVDw8PNmzYgL+/Px06dODFixd4eHhQo0YNAJGgC8JrIJJ0QSMpNzoBTJkyBQBXV1ciIiKwtbXl9u3bWFhYAFBaWsrChQsJCwtTHS8SdEEQqiMDAwPs7e2ZNm0axsbGxMfHY2ZmBoCxsTG3bt1iy5Yt7NmzhyZNmvDRRx+pOWJB0Fyiu4ugkWQyGXl5eYwcOZKaNWsSFRXF1KlTqVWrFn5+fmRlZREfH8+aNWsICQmhU6dOwKvVd5GgC4JQ3ShLAgGMjIwoLy/H3Nyc7OxsPDw80NfXx9DQEB0dHfbv309kZCT9+/dXb9CCoOFETbqgMdLT0zEzM0NfXx+Aixcvcu3aNdq1a8eUKVNwcHBQdXFRbiKVy+X4+PgAVS9SgiAI1UHl896VK1e4evUqNWrUICIigmPHjrF7924aNGhAr169uHTpEtbW1tjZ2aGrq6vmyAVB84kkXdAI69ev5+DBg4SEhNC1a1fMzc3Zvn07W7ZsoaysjOjoaPr16wfA0qVLadeuHfb29qrjRYIuCEJ1tnXrVtatW0fHjh3Zvn07ISEhjB49mg0bNnD58mWePn2KtrY2c+bMwdbWVt3hCkK1IO7rC++8GTNmsG/fPiZPnkyTJk0wNzcHoGXLlmRkZODu7q5K0CdNmsSZM2dUNZZKIkEXBKG6unPnDkePHmXz5s1YWVkhSRLNmjVDLpfTpUsX+vbtS1hYGAsXLhQJuiC8QWIlXXinLVmyhHPnzrF06dIq3z948CANGjQgMzOTQYMGERAQQHZ2Nm5ubsyYMQMQq+eCIFRPf+xe9fDhQ5YtW4a+vj4pKSnMmDEDNzc3EhISsLW1xdXVVY3RCkL1Jbq7CO+09PR0unbtCvyedI8YMYKLFy/SpUsXPv74YzZt2kRubi4vXrwgJCQEqNqeURAEobpQJuiFhYVoa2sjl8vR1tbm3r17GBoaEh8fj7GxMYmJicyZM4fx48eLJF0Q1ER0dxHeaT/99BO2trYEBAQgk8k4d+4curq6DBo0iF27dqGrq0vDhg2xtrbG2dkZqNqeURAEoTpRbpofPHgwCQkJPHz4kLCwMPLz83n+/DlJSUk8fPiQBQsWMHjw4CqtaQVBeLPESrrwTlKuBrVu3ZorV65w+/ZtateuTb169WjcuDEAtra2FBcX/+lY0WJREITqpHJ5S35+PgsXLmT48OEoFAqOHDnCokWL+PTTTzl16hQJCQlkZWUxZ84c6tatq+bIBaF6E0m68E5SXnAaNGhAUlISmzdvZtCgQVhbWwMwbdo0srKyaNWqlTrDFARBUKvKCfratWsxNTXF3t6eli1bUlpair6+Ptu3b2ft2rX07t2b9957T+zXEYS3hCh3Ed4JlS8alf/u4OAAwNWrV4mLiyMtLY0lS5Ygk8mYP38+enp6VFRUiAuOIAjVTnl5uaq0b+nSpfzyyy8oFAp+/fVXfH19cXNzw8bGBkmS2LFjB66urjg4OIjzpSC8JUR3F+Gtp1wJ+uPqTnl5Odrar24GFRQUcODAAYyNjVV90UFsEBUEofp5/vw5enp6GBkZUVRUxOeff46Liwvjxo2jtLSU9evXs2fPHmJjY/Hw8CA9PZ2MjAzq16+v7tAFQahEJOnCW02ZmN+7d48VK1ZQs2ZNnJ2dadas2b89ViTogiBUNwqFgm+++YbHjx+zbNkyAPr160daWhqHDx8GICMjgzVr1nD27FlWrFiBsbGxOkMWBOGfEDvohLeaTCbj/PnzjBkzhvDwcJKSkli+fDmpqan/9liRoAuCUJ3cuHEDuVxOv3790NHRYdasWQDExcVhZGSEsrrV1taWzp074+vry4sXL9QYsSAI/4qoSRfeOgkJCSgUCszMzJAkiVWrVvHxxx/j6OjIunXr+OSTTwgICCA/Px9dXV11hysIgqB2t2/fJjY2lpKSEkJDQ3FwcGDr1q3k5+cTFBREcHAwcXFxlJeX4+/vj6mpKaGhoaoJzYIgvH1Eki68VW7evMkPP/yAQqHA2dkZIyMjTp06RVJSEps2bWLy5Mm89957PH78mMuXL+Ps7CxWzAVBqPbkcjlaWlocP34cExMTgoODMTU1Zd26dVhZWREYGIi7uzsTJkwgIiICOzs70Y5WEN5yIkkX3hoVFRXY2NgAkJycTHl5OV5eXly6dImNGzeyfv16ateuzbNnz/j000+xt7cnMDBQzVELgiCoj3Lfjr6+Pu7u7mRkZHDw4EFq1qxJ48aNKS8vZ8OGDXh5edGoUSPCwsLEBlFBeEeIjaPCWyU9PZ3vv/+ee/fukZOTw1dffUWTJk3o3bs3RkZGWFpakpKSQq9evejRo4e6wxUEQVC7nJwcfvrpJ/r164eJiQlLly7l2bNnTJgwAWtra2JjY0lKSmL16tXo6OiIFouC8I4QSbrw1khLS2Po0KEMHDiQiIgIYmNjkSSJAQMG4OLiwvnz58nJycHV1RVfX1+g6qAOQRCE6qJyS9pbt26xevVqACZNmkRmZibLli1DR0eH8ePHU1paSlZWFm5ubmqMWBCE/5QodxHU5o99z7Oysrh58yYjR47EwMCARo0asW3bNi5dukTt2rUJDAzE09MTOzs7lJ8tRYIuCEJ1cvToUWrUqIG2tjY3b97E2toaKysrzMzMuHbtGklJSbRt2xYLCwv2799PUVERDRs2FBtEBeEdJDIcQS0UCsWfbrkWFBRw+/ZtsrOzATAzM6NNmzbcvHmTO3fuAKiSc5lMJm7ZCoJQrUyaNIkdO3YAr/btzJgxQ/W1n58f0dHRXL9+nQ0bNuDn58eoUaPo2bOnOkMWBOF/IFbShTeuoqJC1ZFl3rx5nDhxgufPnxMaGkpqairLly/Hx8eH3NxcduzYQbt27fjggw8ARGIuCEK1k5OTw6hRozA0NOTbb79FW1uboqIitLW1OXHiBLa2tjg5OVGjRg12795NUlIS9evXp169euKcKQjvMFGTLqhFbm4uw4YNo06dOlhYWHD//n0MDP5fe/caElXXhnH8GrUT6AfTLK0wsJois7IDESERRSFZVmpUSIZ0BBEtKftgByIMo0KTMgiMIEjHLDMpsaKDlXQiBiQhK0tIrewgHXTUeT7ETK+vFvY86kzT//dx7b3Wvh0QL+9Ze+9B2rt3r9LS0tTU1KSnT58qJiZGsbGxkth/DuDv097ero0bN+rdu3cqKCiQJOXm5mrgwIGaMWOGSkpKVFVVpdTUVH379k1HjhxRXFyc/b4dAH8uQjr6xMOHD9XY2Kh58+ZJksrKylRUVKTMzExJ31/EcezYMS1evFhhYWGyWCx6+/atAgICJHXevw4Afwuz2aytW7cqKSlJjx8/1qNHj3To0CH5+/ururpa+fn5Ki8vV1tbm/1dEgD+fB6OLgCu7+TJkzKZTFqwYIFGjRql0aNHa8CAAWppadHr16/l7++vMWPGyM3NTXV1dTIYDOrfvz8BHQAkTZw4UYmJidqzZ49Gjx6t06dP279VDAoK0vbt2/XkyRP5+PjY3zUB4M9HSEevOnDggB48eKATJ07Iz8/PPu7j4yPpe4do4MCB8vb21rdv37p8eygBHcDfLjw8XG/evNG5c+dUX1+vYcOGyWAw2JsY48aNc3SJAHoY213Qa5qamrRt2zbt3r1bQ4YMUWtrqzw8PNTW1iZ3d3edOXNG5eXlampqUltbmwICApSenu7osgHAae3YsUP19fVKT0+naw64OEI6ek11dbVLfxocAAAGFklEQVS2bdum3NxcDRo0qFOXvKWlRe/evdOLFy9ksVgUFhYmiRtEAeBXVq5cqWHDhikjI0MeHnwhDrgqfrvRawYPHqza2lrduXNH8+fPV3t7u6xWq9zd3VVbW6uSkhLFx8fL39/fPoeADgC/dvz4cVVVVRHQARdHGkKv8fb2Vnx8vE6cOKGqqiq5ubnZu+kXL15UZWWlvnz50mEOAR0Afs3Ly0vTpk1zdBkAehnbXdCrGhoalJ2drRs3biglJUUBAQHKy8tTfX29MjIyNHjwYEeXCAAA4HQI6eh1zc3NysnJUWVlpby8vOTp6amdO3dKkv0mUgAAAPxASEefslgs6tevnyQCOgAAwM+wARh9yhbK29vbCegAAAA/QScdAAAAcDJ00gEAAAAnQ0gHAAAAnAwhHQAAAHAyhHQAAADAyRDSAQC/LTY2Vkaj0dFlAIDLIqQDgAs7evSojEajjEajnj175uhyAADdREgHABdltVplMplkMBgkSfn5+T229v79+1VSUtJj6wEAOiKkA4CLunXrlmpra7V06VL5+vqqsLBQLS0tPbJ2QECAgoKCemQtAEBnhHQAcFG2znl0dLQiIiL0/v17lZWVdTovKytLRqNRFRUVunTpkqKiojRp0iTNmDFDSUlJqq+v7zSnqz3pFRUVMhqNysrKktlsVnx8vKZOnarp06crISFBr1+/liS9evVKSUlJmjlzpkJCQhQbG6snT550+TN8/fpVOTk5WrJkiSZPnqwpU6ZoxYoVKi4u/q8fDwA4NUI6ALigt2/f6urVqxo1apRCQ0O1bNkySdKZM2d+Ouf06dNKSUnR8OHDtWrVKo0ZM0YlJSWKi4v7rQ682WzW6tWrJUkxMTEKCQlRaWmp4uLiVF1draioKNXV1SkyMlJz5szRvXv3tHbtWn3+/LnDOp8+fdKqVat08OBBubu7a/ny5YqMjFRjY6O2bNmiQ4cO/YtPBgD+DB6OLgAA0PPOnj0ri8ViD+djx47VhAkTVFFRoZqaGgUGBnaac/PmTZlMpg4d8i1btqi4uFhlZWUKDw/v1rWvX7+ujIwMLV682D62Y8cOFRQUaOXKlVq7dq02bdpkP5adna3MzEyZTCatWbPGPr5v3z5VVlZq69atWrdunX28ublZmzdvVk5OjhYuXKjx48d3/4MBgD8EnXQAcDFWq1X5+flyc3NTZGSkfXzp0qX2Y13pagtLdHS0pO/d8e6aOnVqh4Buu7YkeXp6av369R2O2Wr83y0v79+/V1FRkYKDgzsEdEkaMGCAUlJSZLVadeHChW7XBQB/EjrpAOBi7t69q5cvX2r27NkaOnSofXzRokXav3+/CgsLlZiYqH79+nWYN3HixE5r+fv7S5I+fvzY7esHBwd3GvPz85MkjR8/Xu7u7h2O2Wqsq6uzj5nNZrW1tclgMCgrK6vTeq2trZLEYyUBuCxCOgC4GNu+c9tWFxtvb2/NnTtXly9f1pUrV7Rw4cIOx728vDqtZQvU7e3t3b7+r9bp6piHx/c/RbbgLUkfPnyQ9D2s/6qL///72AHAVRDSAcCFNDY22p/gkpycrOTk5C7Py8vL6xTSnYktzMfFxSk1NdXB1QBA3yOkA4ALKSwslMVi0YQJE356Q+XVq1d1+/ZtvXr1SiNHjuzjCrsnJCREbm5uun//vqNLAQCHIKQDgAux3RS6a9cuhYSEdHnO4cOHdfToUZlMJiUlJfVled3m4+OjiIgInT9/XtnZ2dqwYYN9W4zNy5cvZTAYnPYfDQD4LwjpAOAiKioq9Pz5c40dO/anAV2SoqKidOzYMRUUFCghIaEPK/w9aWlpqqmpUWZmpoqKihQaGipfX181NDSourpaZrNZBw8eJKQDcEmEdABwEXl5eZJ+PDbxZ0aMGKFZs2apvLxc165d64vS/hVPT0+dOnVKeXl5Ki4uVmlpqZqbm+Xr66vAwEClpqZq1qxZji4TAHqFwWq1Wh1dBAAAAIAfeJkRAAAA4GQI6QAAAICTIaQDAAAAToaQDgAAADgZQjoAAADgZAjpAAAAgJMhpAMAAABOhpAOAAAAOBlCOgAAAOBk/gGwRm4wRxzk6AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creating a dataframe for rating counts\n",
    "combine_anime_rating = anime_fulldata.dropna(axis = 0, subset = ['anime_title'])\n",
    "anime_ratingCount = (combine_anime_rating.\n",
    "     groupby(by = ['anime_title'])['user_rating'].\n",
    "     count().\n",
    "     reset_index().rename(columns = {'rating': 'totalRatingCount'})\n",
    "    [['anime_title', 'user_rating']]\n",
    "    )\n",
    "\n",
    "\n",
    "top10_animerating=anime_ratingCount[['anime_title', 'user_rating']].sort_values(by = 'user_rating',ascending = False).head(10)\n",
    "ax=sns.barplot(x=\"anime_title\", y=\"user_rating\", data=top10_animerating, palette=\"Dark2\")\n",
    "ax.set_xticklabels(ax.get_xticklabels(), fontsize=11, rotation=40, ha=\"right\")\n",
    "ax.set_title('Top 10 Anime based on rating counts',fontsize = 22)\n",
    "ax.set_xlabel('Anime',fontsize = 20) \n",
    "ax.set_ylabel('User Rating count', fontsize = 20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://lh3.googleusercontent.com/proxy/xWZd8JnnPSeJmwMfs5fU2y9dBbKJCyg_bgRGz0d6wC_S4P-5um69-8XSe4E6dJynbSIIaoBELMIU5-a0EITO04qX0x74hkohqmpsp5zRIQIAnXWR1UejCfRJjQmHGtYzi0go-8R2D1gOsP63Bgk\">\n",
    "\n",
    "\n",
    "> ### \"There Is No Heaven Or Hell. No Matter What You Do While You're Alive, <br> Everybody Goes To The Same Place Once You Die. Death Is Equal.\"-L (Death Note)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Results:** <br>\n",
    "* Death Note wears the crown for rating count followed by sword art online and Attack on Titan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "_kg_hide-input": true
   },
   "outputs": [],
   "source": [
    "anime_fulldata = anime_fulldata.merge(anime_ratingCount, left_on = 'anime_title', right_on = 'anime_title', how = 'left')\n",
    "anime_fulldata = anime_fulldata.rename(columns={'user_rating_x': 'user_rating', 'user_rating_y': 'totalratingcount'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top 10 Anime based on Community size\n",
    "#### I'm now sensing the top anime's based on their community size(membercount) . Let's see who tops the throne"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "_kg_hide-input": true
   },
   "outputs": [],
   "source": [
    "duplicate_anime=anime_fulldata.copy()\n",
    "duplicate_anime.drop_duplicates(subset =\"anime_title\", \n",
    "                     keep = 'first', inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "_kg_hide-input": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Community Size')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top10_animemembers=duplicate_anime[['anime_title', 'members']].sort_values(by = 'members',ascending = False).head(10)\n",
    "ax=sns.barplot(x=\"anime_title\", y=\"members\", data=top10_animemembers, palette=\"gnuplot2\")\n",
    "ax.set_xticklabels(ax.get_xticklabels(), fontsize=11, rotation=40, ha=\"right\")\n",
    "ax.set_title('Top 10 Anime based on members',fontsize = 22)\n",
    "ax.set_xlabel('Anime',fontsize = 20) \n",
    "ax.set_ylabel('Community Size', fontsize = 20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://vignette.wikia.nocookie.net/deathnote/images/9/9c/Light_yagami.jpg/revision/latest?cb=20110801092518\">\n",
    "\n",
    "\n",
    "> ### \"Look around you, and all you will see are people <br> the world would be better off without.\"-Light Yagami (Death Note)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Results:**\n",
    "* Death note captures the crown again . \"I want to tell you **I'M L** \""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distribution of ratings\n",
    "#### I'll be now sensing the distribution of ratings on both the datasets. I beleive the rating from anime.csv is from review websites and user_rating in rating.csv is from user id's"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "_kg_hide-input": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Rating of users')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15, 7))\n",
    "plt.subplot(1,2,1)\n",
    "anime_fulldata['rating'].hist(bins=70)\n",
    "plt.title(\"Rating of websites\")\n",
    "plt.subplot(1,2,2)\n",
    "anime_fulldata['user_rating'].hist(bins=70)\n",
    "plt.title(\"Rating of users\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Insights:**\n",
    "* Most of the ratings are spread between 6-10\n",
    "* The mode of the distribution is around 7.5-8.0\n",
    "* Both the distribution are left skewed\n",
    "* We have -1 rating as an outlier in rating of users which can be made into NaN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Medium of streaming \n",
    "#### Byakugan ! I'm now seeing from where does this powerul anime's are coming from "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "_kg_hide-input": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"b670968d-2fcd-447f-acc9-257dc6559139\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
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       "                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
       "                    \n",
       "                if (document.getElementById(\"b670968d-2fcd-447f-acc9-257dc6559139\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        'b670968d-2fcd-447f-acc9-257dc6559139',\n",
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\"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Medium of Streaming\", \"x\": 0.5, \"xanchor\": \"center\", \"y\": 0.9, \"yanchor\": \"top\"}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('b670968d-2fcd-447f-acc9-257dc6559139');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
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       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "labels = anime_fulldata['type'].value_counts().index\n",
    "values = anime_fulldata['type'].value_counts().values\n",
    "colors = ['gold', 'mediumturquoise', 'darkorange', 'lightgreen']\n",
    "fig = go.Figure(data=[go.Pie(labels=labels,\n",
    "                             values=values)])\n",
    "fig.update_traces(hoverinfo='label+percent', textinfo='value', textfont_size=20,\n",
    "                  marker=dict(colors=colors, line=dict(color='#000000', width=2)))\n",
    "\n",
    "fig.update_layout(\n",
    "    title={\n",
    "        'text': \"Medium of Streaming\",\n",
    "        'y':0.9,\n",
    "        'x':0.5,\n",
    "        'xanchor': 'center',\n",
    "        'yanchor': 'top'})\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Insights:**\n",
    "* 67.6% of the anime's were aired on TV followed by 13.5% through Movie\n",
    "* 10.2% of anime's are streamed as OVA which is greater than ONA(1.18%)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Genre Word Cloud\n",
    "#### Look up, witness the genre cloud !"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "_kg_hide-input": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 799.5, 399.5, -0.5)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Sharingan copy: https://www.kaggle.com/indralin/try-content-based-and-collaborative-filtering\n",
    "nonull_anime=anime_fulldata.copy()\n",
    "nonull_anime.dropna(inplace=True)\n",
    "from collections import defaultdict\n",
    "\n",
    "all_genres = defaultdict(int)\n",
    "\n",
    "for genres in nonull_anime['genre']:\n",
    "    for genre in genres.split(','):\n",
    "        all_genres[genre.strip()] += 1\n",
    "        \n",
    "from wordcloud import WordCloud\n",
    "\n",
    "genres_cloud = WordCloud(width=800, height=400, background_color='white', colormap='gnuplot').generate_from_frequencies(all_genres)\n",
    "plt.imshow(genres_cloud, interpolation='bilinear')\n",
    "plt.axis('off')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can sense there are many Comedy genre anime's followd by action, romance,drama in our dataset\n",
    "\n",
    "<img src=\"https://ctd-thechristianpost.netdna-ssl.com/en/full/65364/monkey-dluffy.jpg?w=760&h=419&l=50&t=40\">\n",
    "\n",
    "> ### \"I’ve set myself to become the King of the Pirates…and if I die trying…then at least I tried!\"-Monkey D. Luffy (One Piece)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=\"section-four\"></a>\n",
    "# Preparing data for consumption- Sonaeru (備える)\n",
    "\n",
    "#### Before giving our data guests to the recommendation engine we have to fine tune them, sculpt them,train them to face the boss !\n",
    "\n",
    "### a) Handling NaN values\n",
    "\n",
    "#### First we have to take care of the NaN values, as this revolves around ratings, a user who hasn't given any ratings has added no value to the engine. So let's drop and crush those NaN values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>anime_id</th>\n",
       "      <th>anime_title</th>\n",
       "      <th>genre</th>\n",
       "      <th>type</th>\n",
       "      <th>episodes</th>\n",
       "      <th>rating</th>\n",
       "      <th>members</th>\n",
       "      <th>user_id</th>\n",
       "      <th>user_rating</th>\n",
       "      <th>totalratingcount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32281</td>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.37</td>\n",
       "      <td>200630</td>\n",
       "      <td>99</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>32281</td>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.37</td>\n",
       "      <td>200630</td>\n",
       "      <td>152</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32281</td>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.37</td>\n",
       "      <td>200630</td>\n",
       "      <td>244</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>32281</td>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.37</td>\n",
       "      <td>200630</td>\n",
       "      <td>271</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>32281</td>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.37</td>\n",
       "      <td>200630</td>\n",
       "      <td>278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2199</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   anime_id     anime_title                                 genre   type  \\\n",
       "0     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "1     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "2     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "3     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "4     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "\n",
       "  episodes  rating  members  user_id  user_rating  totalratingcount  \n",
       "0        1    9.37   200630       99          5.0              2199  \n",
       "1        1    9.37   200630      152         10.0              2199  \n",
       "2        1    9.37   200630      244         10.0              2199  \n",
       "3        1    9.37   200630      271         10.0              2199  \n",
       "4        1    9.37   200630      278          NaN              2199  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anime_feature=anime_fulldata.copy()\n",
    "anime_feature[\"user_rating\"].replace({-1: np.nan}, inplace=True)\n",
    "anime_feature.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "anime_id            0\n",
       "anime_title         0\n",
       "genre               0\n",
       "type                0\n",
       "episodes            0\n",
       "rating              0\n",
       "members             0\n",
       "user_id             0\n",
       "user_rating         0\n",
       "totalratingcount    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anime_feature = anime_feature.dropna(axis = 0, how ='any') \n",
    "anime_feature.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### b) Filtering user_id\n",
    "\n",
    "#### Let's check out the counts of user id and filter based on it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42635    3747\n",
       "53698    2905\n",
       "57620    2689\n",
       "59643    2632\n",
       "51693    2620\n",
       "         ... \n",
       "4507        1\n",
       "67112       1\n",
       "51639       1\n",
       "50718       1\n",
       "30683       1\n",
       "Name: user_id, Length: 69600, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anime_feature['user_id'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### There are users who has rated only once, even if they have rated it 5, it can't be considered a valuable record for recommendation. So I have considered minimum 200 ratings by the user as threshold value. You can play around changing the threshold value to get better results, but this worked fine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "counts = anime_feature['user_id'].value_counts()\n",
    "anime_feature = anime_feature[anime_feature['user_id'].isin(counts[counts >= 200].index)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### c) Pivot Dojo\n",
    "\n",
    "#### This pivot table consists of rows as title and columns as user id, this will help us to create sparse matrix which can be very helpful in finding the cosine similarity ! Don't know what is cosine similarity ? don't worry, We will reveal that in the next section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>795</th>\n",
       "      <th>799</th>\n",
       "      <th>806</th>\n",
       "      <th>813</th>\n",
       "      <th>814</th>\n",
       "      <th>819</th>\n",
       "      <th>820</th>\n",
       "      <th>847</th>\n",
       "      <th>861</th>\n",
       "      <th>890</th>\n",
       "      <th>894</th>\n",
       "      <th>916</th>\n",
       "      <th>920</th>\n",
       "      <th>926</th>\n",
       "      <th>936</th>\n",
       "      <th>937</th>\n",
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       "      <th>946</th>\n",
       "      <th>954</th>\n",
       "      <th>958</th>\n",
       "      <th>963</th>\n",
       "      <th>979</th>\n",
       "      <th>995</th>\n",
       "      <th>996</th>\n",
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       "      <th>1031</th>\n",
       "      <th>1044</th>\n",
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       "      <th>1084</th>\n",
       "      <th>1103</th>\n",
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       "      <th>1119</th>\n",
       "      <th>1132</th>\n",
       "      <th>1140</th>\n",
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       "      <th>1163</th>\n",
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       "      <th>1734</th>\n",
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       "      <th>1771</th>\n",
       "      <th>1786</th>\n",
       "      <th>1788</th>\n",
       "      <th>1797</th>\n",
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       "      <th>1807</th>\n",
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       "      <th>1835</th>\n",
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       "      <th>1843</th>\n",
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       "      <th>1888</th>\n",
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       "      <th>1918</th>\n",
       "      <th>1929</th>\n",
       "      <th>1937</th>\n",
       "      <th>1938</th>\n",
       "      <th>1947</th>\n",
       "      <th>1954</th>\n",
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       "      <th>1963</th>\n",
       "      <th>1984</th>\n",
       "      <th>1987</th>\n",
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       "      <th>2297</th>\n",
       "      <th>2298</th>\n",
       "      <th>2300</th>\n",
       "      <th>...</th>\n",
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       "      <th>71078</th>\n",
       "      <th>71115</th>\n",
       "      <th>71118</th>\n",
       "      <th>71122</th>\n",
       "      <th>71178</th>\n",
       "      <th>71184</th>\n",
       "      <th>71198</th>\n",
       "      <th>71212</th>\n",
       "      <th>71224</th>\n",
       "      <th>71225</th>\n",
       "      <th>71226</th>\n",
       "      <th>71231</th>\n",
       "      <th>71250</th>\n",
       "      <th>71252</th>\n",
       "      <th>71253</th>\n",
       "      <th>71278</th>\n",
       "      <th>71284</th>\n",
       "      <th>71300</th>\n",
       "      <th>71302</th>\n",
       "      <th>71330</th>\n",
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       "      <th>71362</th>\n",
       "      <th>71363</th>\n",
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       "      <th>71429</th>\n",
       "      <th>71435</th>\n",
       "      <th>71438</th>\n",
       "      <th>71453</th>\n",
       "      <th>71456</th>\n",
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       "      <th>71529</th>\n",
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       "      <th>71619</th>\n",
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       "      <th>71655</th>\n",
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       "      <th>71731</th>\n",
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       "      <th>71792</th>\n",
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       "      <th>72715</th>\n",
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       "      <th>72760</th>\n",
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       "      <th>72776</th>\n",
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       "      <th>72787</th>\n",
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       "      <th>72811</th>\n",
       "      <th>72814</th>\n",
       "      <th>72817</th>\n",
       "      <th>72846</th>\n",
       "      <th>72857</th>\n",
       "      <th>72872</th>\n",
       "      <th>72875</th>\n",
       "      <th>72884</th>\n",
       "      <th>72889</th>\n",
       "      <th>72928</th>\n",
       "      <th>72941</th>\n",
       "      <th>72945</th>\n",
       "      <th>72946</th>\n",
       "      <th>72947</th>\n",
       "      <th>72954</th>\n",
       "      <th>72959</th>\n",
       "      <th>72960</th>\n",
       "      <th>72968</th>\n",
       "      <th>72997</th>\n",
       "      <th>73005</th>\n",
       "      <th>73012</th>\n",
       "      <th>73031</th>\n",
       "      <th>73058</th>\n",
       "      <th>73070</th>\n",
       "      <th>73073</th>\n",
       "      <th>73075</th>\n",
       "      <th>73086</th>\n",
       "      <th>73088</th>\n",
       "      <th>73099</th>\n",
       "      <th>73101</th>\n",
       "      <th>73111</th>\n",
       "      <th>73114</th>\n",
       "      <th>73123</th>\n",
       "      <th>73132</th>\n",
       "      <th>73135</th>\n",
       "      <th>73152</th>\n",
       "      <th>73153</th>\n",
       "      <th>73155</th>\n",
       "      <th>73159</th>\n",
       "      <th>73160</th>\n",
       "      <th>73162</th>\n",
       "      <th>73177</th>\n",
       "      <th>73179</th>\n",
       "      <th>73188</th>\n",
       "      <th>73193</th>\n",
       "      <th>73197</th>\n",
       "      <th>73203</th>\n",
       "      <th>73212</th>\n",
       "      <th>73216</th>\n",
       "      <th>73221</th>\n",
       "      <th>73234</th>\n",
       "      <th>73248</th>\n",
       "      <th>73251</th>\n",
       "      <th>73257</th>\n",
       "      <th>73260</th>\n",
       "      <th>73262</th>\n",
       "      <th>73264</th>\n",
       "      <th>73272</th>\n",
       "      <th>73276</th>\n",
       "      <th>73278</th>\n",
       "      <th>73282</th>\n",
       "      <th>73284</th>\n",
       "      <th>73286</th>\n",
       "      <th>73288</th>\n",
       "      <th>73301</th>\n",
       "      <th>73317</th>\n",
       "      <th>73320</th>\n",
       "      <th>73328</th>\n",
       "      <th>73329</th>\n",
       "      <th>73340</th>\n",
       "      <th>73341</th>\n",
       "      <th>73343</th>\n",
       "      <th>73346</th>\n",
       "      <th>73356</th>\n",
       "      <th>73359</th>\n",
       "      <th>73362</th>\n",
       "      <th>73378</th>\n",
       "      <th>73379</th>\n",
       "      <th>73380</th>\n",
       "      <th>73389</th>\n",
       "      <th>73395</th>\n",
       "      <th>73406</th>\n",
       "      <th>73417</th>\n",
       "      <th>73422</th>\n",
       "      <th>73457</th>\n",
       "      <th>73460</th>\n",
       "      <th>73476</th>\n",
       "      <th>73499</th>\n",
       "      <th>73502</th>\n",
       "      <th>73503</th>\n",
       "      <th>73507</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>anime_title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&amp;quot;Bungaku Shoujo&amp;quot; Kyou no Oyatsu: Hatsukoi</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&amp;quot;Bungaku Shoujo&amp;quot; Memoire</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>7.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>7.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>9.0</td>\n",
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       "      <td>8.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&amp;quot;Bungaku Shoujo&amp;quot; Movie</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>8.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>9.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>8.0</td>\n",
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       "      <td>7.0</td>\n",
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       "      <td>10.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&amp;quot;Eiji&amp;quot;</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "&quot;Bungaku Shoujo&quot; Movie                      7.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             72663  72677  72685  \\\n",
       "anime_title                                                               \n",
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       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
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       "anime_title                                                               \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    8.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
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       "anime_title                                                               \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    9.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             72786  72787  72789  \\\n",
       "anime_title                                                               \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    9.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             72800  72811  72814  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             72817  72846  72857  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             72872  72875  72884  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             72889  72928  72941  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             72945  72946  72947  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             72954  72959  72960  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             72968  72997  73005  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73012  73031  73058  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    8.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73070  73073  73075  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73086  73088  73099  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    9.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73101  73111  73114  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73123  73132  73135  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    8.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                   10.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      9.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73152  73153  73155  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73159  73160  73162  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Memoire                    5.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      6.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73177  73179  73188  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73193  73197  73203  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73212  73216  73221  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    7.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    8.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    9.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73234  73248  73251  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
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       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73257  73260  73262  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    7.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    7.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    7.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73264  73272  73276  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73278  73282  73284  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73286  73288  73301  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    9.0    0.0    7.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    9.0    0.0    9.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      9.0    0.0   10.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73317  73320  73328  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73329  73340  73341  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    7.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    9.0    7.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73343  73346  73356  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73359  73362  73378  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    8.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73379  73380  73389  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    8.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    9.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      9.0    0.0    7.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73395  73406  73417  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    8.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      9.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73422  73457  73460  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0    0.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73476  73499  73502  \\\n",
       "anime_title                                                               \n",
       "&quot;0&quot;                                         0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0   10.0   \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0    0.0   \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0   10.0   \n",
       "&quot;Eiji&quot;                                      0.0    0.0    0.0   \n",
       "\n",
       "user_id                                             73503  73507  \n",
       "anime_title                                                       \n",
       "&quot;0&quot;                                         0.0    0.0  \n",
       "&quot;Bungaku Shoujo&quot; Kyou no Oyatsu: Hats...    0.0    0.0  \n",
       "&quot;Bungaku Shoujo&quot; Memoire                    0.0    0.0  \n",
       "&quot;Bungaku Shoujo&quot; Movie                      0.0    0.0  \n",
       "&quot;Eiji&quot;                                      0.0    0.0  \n",
       "\n",
       "[5 rows x 8713 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anime_pivot=anime_feature.pivot_table(index='anime_title',columns='user_id',values='user_rating').fillna(0)\n",
    "anime_pivot.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://nefariousreviews.files.wordpress.com/2015/04/code-geass-featured.jpg\">\n",
    "\n",
    "> ### “To defeat evil, I shall become an even GREATER evil.” – Lelouch Lamperouge (Code Geass)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=\"section-five\"></a>\n",
    "# Recommendation building phase - Tsukuru (作る)\n",
    "\n",
    "## Collaborative Filtering\n",
    "\n",
    "<img src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/5/52/Collaborative_filtering.gif/300px-Collaborative_filtering.gif\">\n",
    "\n",
    "#### Collaborative filtering is a technique that can filter out items that a user might like on the basis of reactions by similar users. It works by searching a large group of people and finding a smaller set of users with tastes similar to a particular user.\n",
    "\n",
    "### Cosine Similarity using KNN\n",
    "\n",
    "\n",
    "<img src=\"https://dataconomy.com/wp-content/uploads/2015/04/Five-most-popular-similarity-measures-implementation-in-python-4-620x475.png\">\n",
    "\n",
    "\n",
    "#### Cosine similarity is a metric used to measure how similar the documents are irrespective of their size. Mathematically, it measures the cosine of the angle between two vectors projected in a multi-dimensional space. The cosine similarity is advantageous because even if the two similar documents are far apart by the Euclidean distance (due to the size of the document), chances are they may still be oriented closer together. The smaller the angle, higher the cosine similarity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NearestNeighbors(algorithm='brute', metric='cosine')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.sparse import csr_matrix\n",
    "\n",
    "anime_matrix = csr_matrix(anime_pivot.values)\n",
    "\n",
    "from sklearn.neighbors import NearestNeighbors\n",
    "\n",
    "\n",
    "model_knn = NearestNeighbors(metric = 'cosine', algorithm = 'brute')\n",
    "model_knn.fit(anime_matrix)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We have fitted the sparse matrix, let's get a random anime title and find recommendation for it. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7498\n"
     ]
    }
   ],
   "source": [
    "query_index = np.random.choice(anime_pivot.shape[0])\n",
    "print(query_index)\n",
    "distances, indices = model_knn.kneighbors(anime_pivot.iloc[query_index,:].values.reshape(1, -1), n_neighbors = 6)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Here we are returning the distances and indices of 6 neighbours through KNN from the randomly chosen index(anime_title) those will be our recommended anime's"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Recommendations for Seihou Tenshi Angel Links:\n",
      "\n",
      "1: Mahou Shoujo Pretty Sammy, with distance of 0.7498726317889126:\n",
      "2: Maze☆Bakunetsu Jikuu (TV), with distance of 0.7646358647594714:\n",
      "3: Mamono Hunter Youko, with distance of 0.7665757261883528:\n",
      "4: Bakuretsu Hunters, with distance of 0.7693187106472631:\n",
      "5: Blue Seed Omake, with distance of 0.7726924479639952:\n"
     ]
    }
   ],
   "source": [
    "for i in range(0, len(distances.flatten())):\n",
    "    if i == 0:\n",
    "        print('Recommendations for {0}:\\n'.format(anime_pivot.index[query_index]))\n",
    "    else:\n",
    "        print('{0}: {1}, with distance of {2}:'.format(i, anime_pivot.index[indices.flatten()[i]], distances.flatten()[i]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### As we see, these are the recommended anmime for . But this code doesn't have much flexibility of our choice. I advise you to check out [Indra Lin's notebook](https://www.kaggle.com/indralin/try-content-based-and-collaborative-filtering) where he had created an awesome function for this collaborative filtering. I used my sharingan eyes to capture two code section from him . LOL\n",
    "\n",
    "<img src=\"https://blogs.forbes.com/olliebarder/files/2019/06/one_punch_man_game.jpg\">\n",
    "\n",
    "> ### \"Human beings are strong because we have the ability to change ourselves.\" -Saitama (One Punch Man)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Content based filtering\n",
    "\n",
    "<img src=\"https://miro.medium.com/max/4056/1*yrkvweErbifbPFkBUyZlOw.png\">\n",
    "\n",
    "\n",
    "#### Content-based filtering, also referred to as cognitive filtering, recommends items based on a comparison between the content of the items and a user profile. The content of each item is represented as a set of descriptors or terms, typically the words that occur in a document.A content based recommender works with data that the user provides, either explicitly (rating) or implicitly (clicking on a link). Based on that data, a user profile is generated, which is then used to make suggestions to the user. As the user provides more inputs or takes actions on the recommendations, the engine becomes more and more accurate.\n",
    "\n",
    "### a) Cleaning anime_title\n",
    "\n",
    "#### We got many symbols found in anime_title. Let's remove those using this function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Sharingan copy:https://www.kaggle.com/indralin/try-content-based-and-collaborative-filtering\n",
    "import re\n",
    "def text_cleaning(text):\n",
    "    text = re.sub(r'&quot;', '', text)\n",
    "    text = re.sub(r'.hack//', '', text)\n",
    "    text = re.sub(r'&#039;', '', text)\n",
    "    text = re.sub(r'A&#039;s', '', text)\n",
    "    text = re.sub(r'I&#039;', 'I\\'', text)\n",
    "    text = re.sub(r'&amp;', 'and', text)\n",
    "    \n",
    "    return text\n",
    "\n",
    "anime_data['name'] = anime_data['name'].apply(text_cleaning)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We have got the title cleaned and neat. Now it's time for the ultimate TFIDF to recommend us the next anime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### b) Term Frequency (TF) and Inverse Document Frequency (IDF)\n",
    "\n",
    "<img src=\"https://miro.medium.com/max/3604/1*qQgnyPLDIkUmeZKN2_ZWbQ.png\">\n",
    "\n",
    "\n",
    "#### TF is simply the frequency of a word in a document. IDF is the inverse of the document frequency among the whole corpus of documents. TF-IDF is used mainly because of two reasons: Suppose we search for “the rise of analytics” on Google. It is certain that “the” will occur more frequently than “analytics” but the relative importance of analytics is higher than the search query point of view. In such cases, TF-IDF weighting negates the effect of high frequency words in determining the importance of an item (document).\n",
    "\n",
    "#### Here we are gonna use it on the genre so that we can recommend the users based on genre content."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "\n",
    "\n",
    "tfv = TfidfVectorizer(min_df=3,  max_features=None, \n",
    "            strip_accents='unicode', analyzer='word',token_pattern=r'\\w{1,}',\n",
    "            ngram_range=(1, 3),\n",
    "            stop_words = 'english')\n",
    "\n",
    "# Filling NaNs with empty string\n",
    "anime_data['genre'] = anime_data['genre'].fillna('')\n",
    "genres_str = anime_data['genre'].str.split(',').astype(str)\n",
    "tfv_matrix = tfv.fit_transform(genres_str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12294, 1554)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tfv_matrix.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Scikit-learn already provides pairwise metrics (a.k.a. kernels in machine learning parlance) that work for both dense and sparse representations of vector collections. Here we need to assign 1 for recommended anime and 0 for not recommended anime. So we are using sigmoid kernel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import sigmoid_kernel\n",
    "\n",
    "# Compute the sigmoid kernel\n",
    "sig = sigmoid_kernel(tfv_matrix, tfv_matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices = pd.Series(anime_data.index, index=anime_data['name']).drop_duplicates()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We have got the indices for the anime_title, now let's jump onto figure out the recommended anime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://static0.cbrimages.com/wordpress/wp-content/uploads/2019/12/Ging-Freecss-Featured-Image.jpg\">\n",
    "\n",
    "> ### “You should enjoy the little detours to the fullest. Because that's where you'll find the things more important than what you want.” - Ging Freecss (HUNTER X HUNTER)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### c) Recommendation function\n",
    "\n",
    "#### Here we create the function for getting the recommendation for an anime. We turn the similarity scores into lists using enumerate function, sort the list and select the top 10 score for recommendation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def give_rec(title, sig=sig):\n",
    "    # Get the index corresponding to original_title\n",
    "    idx = indices[title]\n",
    "\n",
    "    # Get the pairwsie similarity scores \n",
    "    sig_scores = list(enumerate(sig[idx]))\n",
    "\n",
    "    # Sort the movies \n",
    "    sig_scores = sorted(sig_scores, key=lambda x: x[1], reverse=True)\n",
    "\n",
    "    # Scores of the 10 most similar movies\n",
    "    sig_scores = sig_scores[1:11]\n",
    "\n",
    "    # Movie indices\n",
    "    anime_indices = [i[0] for i in sig_scores]\n",
    "\n",
    "    # Top 10 most similar movies\n",
    "    return pd.DataFrame({'Anime name': anime_data['name'].iloc[anime_indices].values,\n",
    "                                 'Rating': anime_data['rating'].iloc[anime_indices].values})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's bring the battle of recommendation !"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>Anime name</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Naruto: Shippuuden</td>\n",
       "      <td>7.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Naruto</td>\n",
       "      <td>7.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Boruto: Naruto the Movie - Naruto ga Hokage ni...</td>\n",
       "      <td>7.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Naruto x UT</td>\n",
       "      <td>7.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Naruto: Shippuuden Movie 4 - The Lost Tower</td>\n",
       "      <td>7.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Naruto: Shippuuden Movie 3 - Hi no Ishi wo Tsu...</td>\n",
       "      <td>7.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Naruto Shippuuden: Sunny Side Battle</td>\n",
       "      <td>7.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Naruto Soyokazeden Movie: Naruto to Mashin to ...</td>\n",
       "      <td>7.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Battle Spirits: Ryuuko no Ken</td>\n",
       "      <td>4.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Kyutai Panic Adventure!</td>\n",
       "      <td>5.21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          Anime name  Rating\n",
       "0                                 Naruto: Shippuuden    7.94\n",
       "1                                             Naruto    7.81\n",
       "2  Boruto: Naruto the Movie - Naruto ga Hokage ni...    7.68\n",
       "3                                        Naruto x UT    7.58\n",
       "4        Naruto: Shippuuden Movie 4 - The Lost Tower    7.53\n",
       "5  Naruto: Shippuuden Movie 3 - Hi no Ishi wo Tsu...    7.50\n",
       "6               Naruto Shippuuden: Sunny Side Battle    7.26\n",
       "7  Naruto Soyokazeden Movie: Naruto to Mashin to ...    7.11\n",
       "8                      Battle Spirits: Ryuuko no Ken    4.89\n",
       "9                            Kyutai Panic Adventure!    5.21"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "give_rec('Naruto: Shippuuden')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Anime name</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Steins;Gate Movie: Fuka Ryouiki no Déjà vu</td>\n",
       "      <td>8.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Steins;Gate: Oukoubakko no Poriomania</td>\n",
       "      <td>8.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Steins;Gate: Kyoukaimenjou no Missing Link - D...</td>\n",
       "      <td>8.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Steins;Gate 0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Under the Dog</td>\n",
       "      <td>6.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Loups=Garous</td>\n",
       "      <td>6.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Loups=Garous Pilot</td>\n",
       "      <td>5.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ibara no Ou</td>\n",
       "      <td>7.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Arve Rezzle: Kikaijikake no Yousei-tachi</td>\n",
       "      <td>6.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Higashi no Eden</td>\n",
       "      <td>8.03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          Anime name  Rating\n",
       "0         Steins;Gate Movie: Fuka Ryouiki no Déjà vu    8.61\n",
       "1              Steins;Gate: Oukoubakko no Poriomania    8.46\n",
       "2  Steins;Gate: Kyoukaimenjou no Missing Link - D...    8.34\n",
       "3                                      Steins;Gate 0     NaN\n",
       "4                                      Under the Dog    6.55\n",
       "5                                       Loups=Garous    6.43\n",
       "6                                 Loups=Garous Pilot    5.87\n",
       "7                                        Ibara no Ou    7.24\n",
       "8           Arve Rezzle: Kikaijikake no Yousei-tachi    6.44\n",
       "9                                    Higashi no Eden    8.03"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "give_rec('Steins;Gate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Anime name</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shingeki no Kyojin OVA</td>\n",
       "      <td>7.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shingeki no Kyojin Movie 2: Jiyuu no Tsubasa</td>\n",
       "      <td>7.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shingeki no Kyojin Movie 1: Guren no Yumiya</td>\n",
       "      <td>7.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shingeki no Kyojin: Ano Hi Kara</td>\n",
       "      <td>6.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shingeki no Kyojin Season 2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>One Piece</td>\n",
       "      <td>8.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>One Piece: Episode of Merry - Mou Hitori no Na...</td>\n",
       "      <td>8.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>One Piece: Episode of Nami - Koukaishi no Nami...</td>\n",
       "      <td>8.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>One Piece: Episode of Sabo - 3 Kyoudai no Kizu...</td>\n",
       "      <td>7.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Dragon Ball Specials</td>\n",
       "      <td>6.96</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          Anime name  Rating\n",
       "0                             Shingeki no Kyojin OVA    7.88\n",
       "1       Shingeki no Kyojin Movie 2: Jiyuu no Tsubasa    7.75\n",
       "2        Shingeki no Kyojin Movie 1: Guren no Yumiya    7.70\n",
       "3                    Shingeki no Kyojin: Ano Hi Kara    6.96\n",
       "4                        Shingeki no Kyojin Season 2     NaN\n",
       "5                                          One Piece    8.58\n",
       "6  One Piece: Episode of Merry - Mou Hitori no Na...    8.29\n",
       "7  One Piece: Episode of Nami - Koukaishi no Nami...    8.27\n",
       "8  One Piece: Episode of Sabo - 3 Kyoudai no Kizu...    7.78\n",
       "9                               Dragon Ball Specials    6.96"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "give_rec('Shingeki no Kyojin')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Anime name</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>One Piece: Episode of Merry - Mou Hitori no Na...</td>\n",
       "      <td>8.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>One Piece: Episode of Nami - Koukaishi no Nami...</td>\n",
       "      <td>8.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>One Piece: Episode of Sabo - 3 Kyoudai no Kizu...</td>\n",
       "      <td>7.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>One Piece Film: Strong World</td>\n",
       "      <td>8.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>One Piece Film: Z</td>\n",
       "      <td>8.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>One Piece Film: Gold</td>\n",
       "      <td>8.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>One Piece: Heart of Gold</td>\n",
       "      <td>7.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Digimon Frontier</td>\n",
       "      <td>7.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Digimon Tamers</td>\n",
       "      <td>7.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Digimon Savers</td>\n",
       "      <td>7.10</td>\n",
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       "                                          Anime name  Rating\n",
       "0  One Piece: Episode of Merry - Mou Hitori no Na...    8.29\n",
       "1  One Piece: Episode of Nami - Koukaishi no Nami...    8.27\n",
       "2  One Piece: Episode of Sabo - 3 Kyoudai no Kizu...    7.78\n",
       "3                       One Piece Film: Strong World    8.42\n",
       "4                                  One Piece Film: Z    8.39\n",
       "5                               One Piece Film: Gold    8.32\n",
       "6                           One Piece: Heart of Gold    7.75\n",
       "7                                   Digimon Frontier    7.25\n",
       "8                                     Digimon Tamers    7.65\n",
       "9                                     Digimon Savers    7.10"
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       "                                          Anime name  Rating\n",
       "0                             Dragon Ball Kai (2014)    8.01\n",
       "1                                    Dragon Ball Kai    7.95\n",
       "2              Dragon Ball Z Movie 15: Fukkatsu no F    7.55\n",
       "3                                  Dragon Ball Super    7.40\n",
       "4             Dragon Ball Z: Summer Vacation Special    7.05\n",
       "5               Dragon Ball Z: Atsumare! Gokuu World    6.76\n",
       "6  Dragon Ball GT: Goku Gaiden! Yuuki no Akashi w...    6.75\n",
       "7  Dragon Ball Z Movie 11: Super Senshi Gekiha!! ...    6.28\n",
       "8                                        Dragon Ball    8.16\n",
       "9               Dragon Ball Z Movie 14: Kami to Kami    7.62"
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    "<img src=\"https://static1.cbrimages.com/wordpress/wp-content/uploads/2020/03/goku-2.jpg\">\n",
    "\n",
    "> ### I could go one step farther If I wanted to.” – Goku (Dragon ball z)\n",
    "\n",
    "### A new kaggle notebook has revealed its face. Is this capable of an upvote?\n",
    "### Will I post better notebooks ?\n",
    "### Will I be able to become master ?  \n",
    "\n",
    "### Find out on the next episode on [Kaggle Notebook Z](https://www.kaggle.com/benroshan/notebooks)"
   ]
  }
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